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APRIL I994
VOLUME 74 NUMBER
4
SURVEY of CURRENT BUSINESS
IN THIS ISSUE . . .
• Integrated Economic and Environmental
Satellite Accounts
• Accounting for Mineral Resources: Issues and
BEA'S Initial Estimates
• Benchmark Input-Output Accounts for
the U.S. Economy, 1987
U.S. DEPARTMENT OF COMMERCE ^
ECONOMICS AND STATISTICS ADMINISTRATION
BUREAU OF ECONOMIC ANALYSIS
t
/
V
f
/ \1
j
1
/
SURVEY OF CURRENT BUSINESS. Pub-
lished monthly by the Bureau of Economic Analysis of the U.S. Department
of Commerce. Editorial correspondence should be addressed to the Editor-
APRIL 1994
VOLUME 74 NUMBER
4
SURVEY of
CURRENT BUSINESS
U.S. Department of Commerce
Ronald H. Brown, Secretary
Economics and Statistics Administration
in-Chief, SURVEY OF CURRENT BUSI-
NESS, Bureau of Economic Analysis, U.S.
Department of Commerce, Washington,
DC 20230.
Subscriptions to the SURVEY OF CUR-
Bureau of Economic Analysis
Carol S. Carson, Director
J. Steven Landefeld, Deputy Director
RENT BUSINESS are maintained, and
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The Secretary of Commerce has determined that the publication of this periodical is necessary in the transaction of
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this Department.
Editor-in-Chief
Managing Editor
Douglas R. Fox
Leland L. Scott
Publication Staff: W. Ronnie Foster, M. Gretchen Gibson,
Ernestine T. Gladden, Eric B. Manning, Donald J. Parschalk
THIS ISSUE of the SURVEY went to the printer on May 11,1994.
It incorporates data from the following monthly BEA news releases:
Gross Domestic Product (April 28),
Personal Income and Outlays (April 29), and
Composite Indexes of Leading, Coincident, and Lagging Indicators (May 3).
April 1994
SURVEY OF CURRENT BUSINESS
TABLE
OF
C O N T E N T S
special in this issue
33
Integrated Economic and Environmental Satellite Accounts
BEA has designed a new set of accounts to provide a statistical picture for analysis of the interaction of the economy and the environment. The new accounts
extend the definition of capital in BEA'S existing accounts to cover natural and
environmental resources. They would supplement, not replace, the existing accounts.
50 Accounting for Mineral Resources: Issues and BEA'S Initial
Estimates
Mineral resources, when estimated as part of the supplemental accounts described in the companion article summarized above, add between 3 and 7pwcent (depending on the valuation method) to the Nation's private stock of capital. From 1958 to 1991, in current dollars, additions to the stock more than offset
depletion; in constant dollars, additions about offset depletion. Factoring mineral resources into measures of income and capital stock lowers the average rate
of return in the mineral industry from 23 percent to between 4 and 5 percent.
73 Benchmark Input-Output Accounts for the U.S. Economy, 1987
The U.S. input-output (1-0) accounts present a detailed picture of how industries interact—providing input to, and taking output from, each other—to
produce GDP. In preparing the 1987 benchmark 1-0 accounts, BEA developed a
set of abbreviated procedures to speed up completion, and it initiated some
improvements in the tables.
l\egularfe atures
m
1
Business Situation
U.S. economic activity slowed in thefirstquarter of 1994. Real GDP increased
2.6 percent, down from a 7.0-percent increase in the fourth quarter of 1993. At
2.3 percent, inflation remained moderate. In 1993, corporate profits increased
$59-4 billion, up from a $37.7 billion increase in 1992.
— Continued on next page —
H
SURVEY OF CURRENT BUSINESS
117
Total and Per Capita Personal Income by State and Region
In the fourth quarter of1993, personal income picked up, as farm income rebounded from a third-quarter drop that was due to floods in the Midwest,
drought in the Southeast, and reduced subsidy payments. For the year 1993, per
capita personal income in 42 States increased faster than prices.
127
Local Area Personal Income: Estimates for 1990-92 and
Revisions to the Estimates for 1981-91
Estimates ofpersonal income and per capita personal income for counties and
metropolitan areas have been revised to incorporate newly available source data
and changes in the definitions of county-based metropolitan areas.
l\eports and statistical presentations
10
National Income and Product Accounts
10
29
31
Selected NIPA Tables
NIPA Charts
Selected Monthly Estimates
C-1
Business Cycle Indicators
C-l Data tables
C-6 Footnotes for pages C-l through C-5
C-7 Charts
C-28 Business cycle expansions and contractions
C-29 Cyclical leads and lags for selected indicators
C-30 Titles and sources of series
S-1
Sources for Current Business Statistics
Inside back cover: BEA Information
(A listing of recent BEA publications available from GPO)
BEGINNING WITH THIS ISSUE
A new section presents monthly estimates for personal income, the disposition of
personal income, and U.S. international transactions in goods and services. The three
tables in this section, which will appear each month, are on pages 31-32.
The "Current Business Statistics" section has been discontinued. The list of sources for
these series, which was published in last month's SURVEY, is reprinted beginning on
page S-l of this issue.
April 1994
April 1994
SURVEY OF CURRENT BUSINESS
THE
This article was
prepared by Daniel
Larkins, Larry R.
Moran, and Ralph
W. Morris.
BUSINESS
uneven expansion continued
T in the first quarterthe 1994, according to and
of
the
advance estimates of
national income
HE ECONOMY'S
product accounts (NIPA'S). The growth of real
gross domestic product (GDP) slowed to 2.6 percent from 7.0 percent in the fourth quarter of 1993
(chart 1).1 The deceleration was accounted for by
sharply slower growth in the production of goods
other than motor vehicles and by a downturn in
the production of structures; the production of
motor vehicles surged again in the first quarter,
and the production of services registered another
modest increase (table 1).
Real gross domestic purchases also grew less
in the first quarter than in the fourth—4.1 percent after 6.7 percent. The slowdown was more
than accounted for by final sales to domestic purchasers; inventory investment accelerated sharply
(table 2). Within final sales, residential and nonresidential fixed investment increased less than
in the fourth quarter, as did personal consumption expenditures, and government purchases
dropped after no change.
Exports and imports are the link between
goods and services produced in the United States
(GDP) and goods and services purchased by U.S.
residents (gross domestic purchases). In the
first quarter, exports turned down, and imports
slowed sharply. In the fourth quarter, both
exports and imports had increased substantially.
The fixed-weighted price index for gross domestic purchases increased 2.3 percent in the first
quarter, the same rate as in the fourth quarter.
The fixed-weighted price index for GDP increased
2.9 percent after increasing 2.3 percent. The difference between the fourth-quarter increases in
the two indexes reflects a step-up in the prices of
exports and a downturn in the prices of imports.
Northridge earthquake.—The Northridge earthquake struck southern California on the morning
of January 17. The destruction it caused—and the
reconstruction and relief efforts that resulted—
SITUATION
affected the components of first-quarter GDP and
gross domestic purchases, but most of these effects are embedded in the source data that are
used to estimate the components. Thus, the effects of the earthquake and reconstruction cannot
be disentangled from the effects of unseasonably
cold weather in much of the Nation or, indeed,
from the effects of any other factor.
However, the Bureau of Economic Analysis did
estimate the extent of the earthquake's damage
to fixed capital. It is estimated that the earthquake caused the consumption of fixed capital
(including residential capital) owned by business to increase $41 billion in constant dollars
Selected Measures:
Change From Preceding Quarter
Percent
••-ilii.ilil
.1 1 hlii ill
GROSS DOMESTIC PURCHASES PRICE INDEX
(FIXED WEIGHTS)
lllllllllliii
1991
1. Quarterly estimates in the NIPA'S are expressed at seasonally adjusted
annual rates, and quarterly changes are differences between these rates.
Quarter-to-quarter percent changes are annualized. Real, or constant-dollar,
estimates are expressed in 1987 dollars.
1992
1993
Note—Percent change at annual rale from preceding quarter;
based on seasonally adjusted estimates.
U.S. Department of Commerce, Bureau of Economic Analysis
1994
2 • April 1994
SURVEY OF CURRENT BUSINESS
and $47 billion in current dollars (at annual
rates). Reflecting the increase in consumption of fixed capital, real net domestic product
(NDP) decreased 1.1 percent in the first quarter;
if there had been no earthquake, real NDP would
have increased about 2.4 percent, (NDP is GDP
less the consumption of fixed capital.)
The consumption of fixed capital is deducted
in the calculation of two components of personal
income: Rental income of persons with cap-
Table 1.—Real Gross Domestic Product, by Major Type of Product
[Seasonally adjusted at annual rates]
Billions of 1987 dollars
Percent change from preceding quarter
Change from preceding quarter
1994
1993
Level
1994
1993
II
1994:1
Gross domestic product
II
III
III
I
IV
I
IV
5,259.0
23.9
36.2
87.3
33.4
1.9
2.9
7.0
2.6
Goods
Motor vehicles
Other
2,161.0
240.5
1,920.5
8.9
-2.6
11.5
5.8
-10.2
16.0
56.0
21.7
34.3
30.1
25.4
4.7
1.7
-4.9
2.5
1.1
-18.6
3.5
11.2
53.0
7.5
5.8
56.3
1.0
Services
2,617.7
12.2
19.2
9.3
11.7
1.9
3.0
1.4
1.8
480.3
2.8
11.1
22.1
-8.4
2.5
10.1
20.3
-6.7
Structures
NOTE.—Most series are found in table 1.4 of the "Selected NIPA Tables." Output of motor
vehicles is the sum of auto output and truck output from tables 8.4 and 8.6, respectively.
Table 2.—Real Gross Domestic Product, Real Gross Domestic Purchases, and Real Final Sales to Domestic
Purchasers
[Seasonally adjusted at annual rates]
Percent change from preceding quarter
Billions of 1987 dollars
Change from preceding quarter
1994
1993
I PVPI
1994
1993
II
1994:1
II
III
I
IV
III
I
IV
5,259.0
23.9
36.2
87.3
33.4
1.9
2.9
7.0
2.6
605.0
709.3
5.2
20.5
-1.3
9.8
28.1
26.3
-15.0
4.8
3.6
13.3
-.9
6.0
20.4
16.4
-9.3
2.8
Equals: Gross domestic purchases
5,363.3
39.3
47.2
85.4
53.3
3.1
3.7
6.7
4.1
Less: Change in business inventories
Farm
Nonfarm
30.5
-.2
30 7
-16.3
-4.1
-12 2
-6.5
-8.8
23
2.0
8.5
-6 5
22.0
4.2
5,332.8
55.5
53.8
83.5
31.2
4.4
4.2
6.6
2.4
3,539.8
634.1
232.2
926.8
28.9
22.0
-5.2
9.8
36.9
10.5
5.9
.6
37.3
30.9
15.1
0
32.9
8.4
5.0
-14.9
3.4
16.6
-9.5
4.3
4.4
7.4
11.9
.3
4.4
22.5
31.7
0
3.8
5.5
9.1
-6.2
Gross domestic product
Less: Exports of goods and services...
Plus: Imports of goods and services...
Equals: Final sales to domestic purchasers .
Personal consumption expenditures
Nonresidential fixed investment
Residential investment
Government purchases
178
NOTE.—Dollar levels are found in tables 1.2 and 1.6 of the "Selected NIPA Tables." Percent
changes are found in table 8.1.
Table 3.—Motor Vehicle Output, Sales, and Inventories
[Seasonally adjusted at annual rates]
Percent change from preceding quarter
Billions of 1987 dollars
Change from preceding quarter
1994
1993
Level
1994
1993
II
1994:1
II
III
IV
III
IV
I
I
Output
Autos
Trucks
240.5
138.0
102.5
-2.6
.9
-3.5
-10.2
-9.9
-.3
21.7
11.5
10.2
25.4
13.0
12.4
-4.9
3.0
-15.7
-18.6
-28.4
-1.5
53.0
47.1
61.7
56.3
48.6
67.5
Final sales
Autos .
Trucks
235.6
136.4
99.2
14.1
7.2
6.9
-7.7
^.9
-2.8
13.8
2.9
10.9
24.1
17.2
6.9
32.9
27.8
40.8
-14.2
-15.2
-12.7
31.0
10.4
65.3
54.0
71.5
33.4
4.9
1.6
3.3
-16.7
-6.3
-10.4
-2.5
-5.1
2.6
7.9
8.7
-.8
1.4
-A2
5.6
Change in business inventories
Autos
Trucks
NOTE.—Dollar levels for cars and trucks are found in tables 8.4 and 8.6, respectively, of the
"Selected NIPA Tables."
SURVEY OF CURRENT BUSINESS
ital consumption adjustment, and proprietors'
income with inventory valuation and capital consumption adjustments. These incomes are not
estimated on a constant-dollar basis in the NIPA'S;
the estimates reported below are in current
dollars and are expressed at annual rates.
Earthquake damage to residential capital other
than repairable damage reduced rental income of
persons by $31 billion, about one-third of which
was offset by insurance benefits. Earthquake
damage to fixed capital other than repairable
damage reduced proprietors' income by $iVi billion, about half of which was offset by insurance
benefits.
The source data used to estimate first-quarter
corporate profits are not yet available; however,
other data indicate that profits were reduced
by about $29 billion by the earthquake. Nonrepairable damage to corporate equipment and
structures amounted to $13 Vi billion, about onethird of which was offset by insurance benefits.
In addition, benefits paid by insurance companies
reduced profits by about $20 billion.
Motor vehicles.—Motor vehicle output and sales
jumped sharply for the second consecutive quarter; inventories also increased. The first-quarter
jump in output was about the same as the jump
in the fourth quarter, and it was evenly split between autos and trucks. The first-quarter jump
in sales was about twice the fourth-quarter jump,
and it was mostly accounted for by autos. The
increase in inventories was much smaller than
in the fourth quarter, and it was more than
accounted for by trucks.
Output increased 56.3 percent in the first quarter after increasing 53.0 percent in the fourth
(table 3). Truck output increased 67.5 percent after increasing 61.7 percent; auto output increased
48.6 percent after increasing 47.1 percent.
Final sales increased 54.0 percent in the first
quarter after increasing 31.0 percent in the fourth.
Auto sales increased 71.5 percent after increasing 10.4 percent. Domestic-car sales accounted
for nearly three-fourths of the first-quarter increase in new-car sales. In units, domestic-car
sales increased to 7.5 million from 7.1 million,
and imported-car sales increased to 2.0 million
from 1.9 million. Truck sales increased 33.4 percent after increasing 65.3 percent. Light domestic
trucks accounted for nearly all of the first-quarter
increase; sales of minivans, sport utilities, and
full-size pickups remained very strong. In units,
light domestic trucks increased to 5.9 million
from 5.5 million, light imported trucks increased
to 0.2 million from 0.1 million, and "other"
trucks were unchanged at 0.4 million.
About half of the first-quarter jump in motor vehicle sales was accounted for by consumers.
Business and net exports accounted for most of
the rest.
Sales to consumers increased 29.3 percent after increasing 26.3 percent; auto sales accounted
for three-fourths of the first-quarter jump. The
strength in first-quarter sales to consumers is
consistent with recent improvements in consumer attitudes and incomes. The Index of
Consumer Sentiment (prepared by the University
of Michigan's Survey Research Center) jumped
from 84.0 in the fourth quarter to 93.0 in the
first, its highest level in 5 years. Real disposable personal income increased 2.7 percent, the
fourth consecutive increase; over the past four
quarters, it has increased 3.9 percent. In addition, interest rates on new-vehicle loans remained
low; for example, the rate on 48-month new car
loans at commercial banks averaged 7.54 percent
in February.
The first-quarter increase in motor vehicle inventories was more than accounted for by trucks.
Auto inventories decreased in the first quarter
after increasing in the fourth; based on units,
the inventory-sales ratio for domestic new cars
was unchanged at 2.5—just above the traditional
industry target of 2.4.
Prices
The fixed-weighted price index for gross domestic purchases increased 2.3 percent in the
first quarter, the same rate as in the fourth
quarter (table 4). A slowdown in food prices
and a downturn in energy prices roughly offset an acceleration in prices paid by the Federal
Government for employee services.
Prices of personal consumption expenditures
increased 2.1 percent after increasing 2.8 percent. A slowdown in food prices mainly reflected
downturns in the prices of fresh fruits and vegetables and slowdowns in the prices of seafood
and poultry. Gasoline and oil contributed the
most to the downturn in energy prices, but electricity and gas also contributed; fuel oil and
coal turned up. Slowdowns were widespread in
prices of other personal consumption expenditures; two exceptions were transportation services
and durable goods excluding both motor vehicles
and "furniture and household equipment."
Prices of nonresidential fixed investment increased 1.8 percent after increasing 1.2 percent. Prices of nonresidential structures in-
April 1994
SURVEY OF CURRENT BUSINESS
April 1994
creased somewhat less in the first quarter
than in the fourth.
Prices of producers' durable equipment increased after little
change. Prices of transportation equipment
posted the largest increase in 3 years, and
prices of information processing equipment decreased again, reflecting a decrease in computer
prices.
Prices of residential investment increased 2.2
percent after increasing 3.2 percent. The firstquarter increase was substantially below the
3.9-percent average rate of increase over the preceding six quarters and substantially above the
1.0-percent average rate of increase over the six
quarters before that.
Prices of government purchases increased 3.7
percent after increasing 1.0 percent. Prices paid
by the Federal Government increased 4.6 percent
after increasing 0.5 percent; the step-up was attributable to a pay raise for Federal employees.2
Prices paid by State and local governments increased 3.0 percent after increasing 1.5 percent;
prices of goods turned up, and prices of serv2. In the NIPA'S, an increase in the rate of Federal employee compensation
is treated as an increase in the price of employee services purchased by the
Federal Government.
First-Quarter 1994 Advance GDP Estimate: Source Data and Assumptions
The advance GDP estimate for the first quarter is based
on the following major source data, some of which are
subject to revision. (The number of months for which
data were available is shown in parentheses.)
Personal consumption expenditures: Sales of retail stores
(3) and unit auto and truck sales (3);
Nonresidential fixed investment
Unit auto and truck
sales (3), construction put in place (2), manufacturers'
shipments of machinery and equipment (3), and exports
and imports of machinery and equipment (2);
Residential investment Construction put in place (2)
and housing starts (3);
Change in business inventories:
Manufacturing and
trade inventories (2) and unit auto and truck inventories
(3);
Net exports of goods and services: Exports and imports
of goods and services (2);
Government purchases: Military outlays (3), other Federal outlays (2), State and local construction put in place
(2), and State and local employment (3);
GDP prices: Consumer Price Index (3), Producer Price
Index (3), price indexes for nonpetroleum merchandise
exports and imports (3), and values and quantities of
petroleum imports (2).
The Bureau of Economic Analysis (BEA) made assumptions for the source data that were not available. A table
detailing these assumptions is available on the Department of Commerce's Economic Bulletin Board or from
BEA; the assumptions are summarized in table A.
Table A.—Summary of Major Data Assumptions for Advance Estimate, 1994:1
[Billions of dollars, seasonally adjusted at annual rates]
1994
1993
October
Fixed investment:
Nonresidential structures:
Buildings, utilities, and farm:
Value of new nonresidential construction put in place
Producers' durable equipment:
Manufacturers' shipments less exports, aircraft industry, nondefense
Manufacturers' shipments, other than aircraft industry
Residential structures:
Value of new residential construction put in place:
1-unit structures
2-or-more-unit structures
Government purchases:
State and local:
Structures:
Value of new construction put in place
1. Assumed.
2. Aircraft industry shipments, which were available through March, were used (along with
exports and imports) to estimate the first-quarter change in producers' durable equipment
January
February
March
135.6
138.7
139.0
132.2
129.6
136.8»
4.3
344.2
3.1
366.9
5.2
375.5
1.0
355.4
2.5
373.0
11.52
370.3 2
139.5
10.5
144.5
11.2
150.8
11.3
150.6
10.6
151.4
10.8
155.6l
11.2x
6.1
37.0
-32.9
15.1
53.1
35.0'
457.2
459.9
486.8
457.3
440.6
456.9l
611.9
-154.7
599.3
-139.3
595.1
-108.3
593.5
-136.2
603.2
-162.6
116.1
Change in business inventories nonfarm:
Change in inventories for manufacturing and trade (except nonmerchant wholesalers) for
industries other than motor vehicles and equipment in trade
Net exports:
Exports of merchandise:
U.S. exports, excluding gold, balance-of-payments basis
Imports of merchandise:
U.S. imports, excluding gold, balance-of-payments basis
Net merchandise trade (exports less imports)
November December
120.7
124.6
112.0
110.2
610.1 »
-153.2'
118.8»
for aircraft. Shipments of complete civilian aircraft, the usual source data, are available only
through February.
April 1994
SURVEY OF CURRENT BUSINESS
ices increased somewhat more than in the fourth
quarter.
The price index for GDP, which measures the
prices paid for goods and services produced in
the United States, increased 2.9 percent after increasing 2.3 percent. This index, unlike the index
for gross domestic purchases, includes prices of
exports and excludes prices of imports. Export prices increased more in the first quarter
than in the fourth. All major end-use categories of exports except nonautomotive capital
Table 4—Price Indexes (Fixed Weights): Change From
Preceding Quarter
(Percent change at annual rates; based on seasonally adjusted index
numbers (1987=100)]
1994
1993
Gross domestic product
2.1
.6
-2.7
2.8
3.8
Less: Exports of goods and services
Plus: Imports ol goods and services
2.9
Equals: Gross domestic purchases
2.3
2.9
.7
1.1
Personal income
Real disposable personal income (DPI) increased
2.7 percent in the first quarter after increasing 5.4
percent in the fourth (chart 3). The deceleration was more than accounted for by a slowdown
in current-dollar DPI, which increased 4.1 percent after increasing 7.8 percent. The personal
saving rate—saving as a percentage of currentdollar DPI—decreased 0.3 percentage point to 3.7
percent, its lowest level in the current expansion.
Personal income increased $65.4 billion in the
first quarter after increasing $100.0 billion in the
3.7
-1.6
2.3
2.8
and consumer goods contributed to the step-up.
Import prices turned down. The price of imported petroleum and products posted its third
straight drop of roughly 30 percent; all other
major end-use categories of imports except industrial supplies and materials contributed to the
downturn.
2.3
Less: Change in business inventories
2.9
1.8
2.3
2.4
2.9
2.3
-1.5
3.4
2.5
3.8
1.8
5.0
2.6
1.4
.3
-4.2
2.0
1.9
3.4
1.0
4.6
2.5
2.8
3.2
2.4
2.8
1.2
3.2
.1
3.2
1.0
2.1
1.1
-1.5
2.5
1.8
2.5
1.3
2.2
3.7
4.1
16.1
3.0
-3.4
-36.6
.5
.3
-27.5
3.2
-1.7
-32.0
1.2
Equals: Final sales to domestic purchasers
Personal consumption expenditures
Food
Energy
Other personal consumption expenditures ....
Nonresidential fixed investment
Nonresidential structures
Producers' durable equipment
Residential investment
Government purchases
Addenda:
Merchandise imports
Petroleum and products
Other merchandise
Selected Personal Income and
Saving Measures
Billions $
ND^E.—Percent changes > ma]or aggregates are found m table 8.1 of the "Selected NIPA
n
Tables." Most moex number levels are found in tables 7,1 and 7.2.
1
10.6
Gross Domestic Purchases
Prices (Fixed Weights):
Change From Preceding Quarter
1991
1992
1993
Note—Percent change at annual rate from preceding quarter;
based on seasonally adjusted index numbers (1987=100).
U.S. Deparfrnent of Commerce, Bureau of Economic Analysis
1994
!•'•
1991
1992
1993
1994
Based on Seasonally Adjusted Annual Rates
Note—Changes are from preceding quarter.
U.S. Deparbnent of Commerce, Bureau of Economic Analysis
SURVEY OF CURRENT BUSINESS
April 1994
fourth (table 5). Proprietors' income and rental
income of persons more than accounted for the
slowdown.
Farm proprietors' income increased $3.6 billion after increasing $31.6 billion. Federal subsidy
payments to farm proprietors decreased $4.1 billion after increasing $14.5 billion. If the subsidies
and the adjustments for the effects of last year's
floods and drought on fourth-quarter income
are excluded, farm proprietors' income increased
$4.5 billion in the first quarter after increasing
$11.0 billion in the fourth; the slowdown reflected weaker increases in farm prices and lower
livestock production.
Nonfarm proprietors' income increased $5.0
billion after increasing $13.0 billion. The deceleration reflected slowdowns in residential construction and in retail sales. Rental income of
persons decreased $12.9 billion after increasing
$2.7 billion. As mentioned earlier, nonfarm proprietors' income and rental income in the first
quarter were reduced by adjustments for damage
resulting from the Northridge earthquake.
Wage and salary disbursements increased $51.1
billion after increasing $34.2 billion. Wages and
salaries in both private industry and government
increased more in the first quarter than in the
fourth. In private industry, a step-up to $44.5
billion from $31.6 billion was concentrated in the
service and distributive industries; manufacturing also contributed, reflecting bonus payments
to employees in the motor vehicle industry. In
government, a step-up to $6.6 billion from $2.6
billion mainly reflected the Federal pay raise;
the rest was accounted for by an adjustment to
State and local government compensation that reflected rescue and cleanup efforts associated with
the earthquake.
Transfer payments increased $14.8 billion after increasing $11.3 billion. The step-up was due
to cost-of-living adjustments (COLA'S) to benefits
under social security and several other Federal
Table 5.—Personal Income and Its Disposition
[Billions of dollars; seasonally adjusted at annual rates]
Level
1993
1994:1
1994
II
Wage and salary disbursements ....
Commodity-producing industries
Manufacturing
Other
Distributive industries
Service industries
Government
3,200.7
789.5
595.8
193.7
733.5
1,075.8
602.0
Level
Change from preceding
quarter
108.4
24.4
20.6
3.8
26.2
55.6
2.2
Change from preceding
quarter
1994
1993
1994:1
I
32.7
4.3
1.2
3.1
5.3
16.6
6.5
34.2
9.9
6.3
3.6
5.7
15.9
2.6
51.1
10.2
8.0
2.2
13.4
21.1
6.6
Other labor income
371.9
8.1
8.1
8.2
9.0
Proprietors' income with IVA and CCAdj
475.6
60.0
415.6
-4.7
-8.7
4.0
-16.9
-22.2
5.2
44.5
31.6
13.0
8.6
3.6
5.0
Rental income of persons with CCAdj ....
Personal dividend income
Personal interest income
3.5
160.7
700.2
5.2
.8
-2.3
1.0
1.2
2.6
2.7
.4
1.0
-12.9
1.3
3.5
Transfer payments to persons
944.6
11.1
13.0
11.3
14.8
279.1
7.9
2.3
2.4
9.9
5,578.1
118.5
39.5
100.0
23.9
8.0
10.2
16.5
4,862.4
94.7
31.5
89.8
48.9
Less: Personal outlays
4,680.4
63.9
60.4
76.1
60.3
Equals: Personal saving
182.0
30.8
-29.0
13.7
-11.4
In nonfarm proprietors' income:
Uninsured losses to business
property:l
Due to Midwest floods
Due to Northridge, California
-7.4
-11.0
14.5
-4.1
-9.3
6.1
3.2
65.4
715.7
In farm proprietors' income:
Agricultural subsidy payments
Uninsured losses to residential and
business property and crop
losses due to Midwest floods
and Southeast drought l
Farm
Nonfarm
Less. Personal contributions for social
insurance
Personal income
Less: Personal tax and nontax
payments
Equals: Disposable personal income .
Addenda: Special factors in personal
income:
In wages and salaries:
Federal Government and Postal
Service pay adjustments
Profit sharing and bonus pay
(including accelerated bonuses)
-2.2
1.6
79.8
NOTE.—Most dollar levels are found in table 2.1 of the "Selected NIPA Tables."
IVA Inventory valuation adjustment
CCAdj Capital consumption adjustment
-1.0
2.6
1.7
earthquake
In rental income of persons with
CCAdj:
Uninsured losses to nonfarm
residential and business
property:l
Due to Midwest floods
Due to Northridge, California
earthquake
In transfer payments to persons:
Social security retroactive
payments
Cost-of-living increases in Federal
transfer payments
Emergency unemployment
compensation payments
Midwest floods
Northridge, California earthquake ..
In personal contributions for social
insurance:
Social security rate and base
changes and increase in the
premium for supplementary
medical insurance
-.7
0
0
-1.4
0
1.9
0
0
-1.9
-19.5
0
1.2
0
0
.2
.3
-2.5
-.1
0
-1.2
-4.7
-.2
1.4
6.2
1. These estimates mainly reflect adjustments to account for uninsured losses to residential
and business property; however, some of the estimates include relatively small amounts reflecting
other items.
April 1994
SURVEY OF CURRENT BUSINESS
retirement and income support programs; the
COLA'S, which became effective in January, added
$8.9 billion to transfer payments. Emergency unemployment benefits decreased $4.7 billion after
decreasing $2.5 billion.
Personal contributions for social insurance,
which are subtracted in deriving the personal
income total, increased $9.9 billion after increasing $2.4 billion. The first-quarter increase
was boosted $6.2 billion by several program
changes: An increase in the social security taxable
wage base for employees and in the social security taxable earnings base for the self-employed
from $57,600 to $60,600; the removal of the
$135,000 cap on the medicare taxable wage base;
and an increase in the monthly premium for
supplementary medical insurance.
Personal tax and nontax payments increased
$16.5 billion after increasing $10.2 billion. The
first-quarter increase in Federal income tax payments reflected the effects of tax rate changes and
other provisions of the Omnibus Budget Reconciliation Act of 1993, as well as the growth in
wages and salaries. The increase was restrained
by the annual revision of the withholding tables to reflect the inflation indexing provisions of
earlier tax law.
(inflows), reflecting the stronger growth in the
U.S. economy than in many foreign economies.
Cash flow from current production, a profitsrelated measure of internally generated funds
available to corporations for investment, increased $25.4 billion after increasing $21.4 billion.
Cash flow as a percentage of nonresidential fixed
investment was 85.4 percent in 1993, down from
89.7 percent in 1992, but still much higher than
its 72.1-percent average in the 1980^.
Current-production measures of profits are not
available for individual industries because estimates of the ccAdj by industry do not exist;
profits before tax (PBT) with IVA is the best
available measure. Most manufacturing industries posted smaller increases in 1993 than in
1992; however, profits from petroleum refining
increased much more than in 1992. In contrast
to the slowdown in manufacturing profits, profits in trade and in the transportation and utilities
group turned up.
Related measures.—PBT increased $54.0 billion
after increasing $33.1 billion. The difference beTable 6.—Corporate Profits
Level
Corporate Profits and
Property Income in 1993
Profits from current production—profits before
tax plus inventory valuation adjustment (IVA)
and capital consumption adjustment (ccAdj)—
increased $59.4 billion in 1993, to $466.6 billion,
after increasing $37.7 billion in 1992 (table 6).3
Profits from the domestic operations of nonfinancial corporations increased $42.2 billion after
increasing $44.4 billion. In both years, real gross
product of these corporations increased about 4
percent. Moreover, profits per unit increased
substantially in both years, as unit labor costs
increased much less than unit prices.
Profits from the domestic operations of financial corporations increased $20.7 billion after
decreasing $2.0 billion. The upturn was more
than accounted for by property and casualty
insurance carriers, whose profits had turned negative in 1992 in the wake of Hurricanes Andrew
and Iniki.
Profits from the rest of the world decreased $3.6
billion after decreasing $4.6 billion. In both years,
payments (outflows) increased more than receipts
3. According to the revised estimates (released April 28, 1994), profits
increased $39.4 billion in the fourth quarter of 1993; the preliminary estimates,
released March 31, had shown a $42.0 billion increase.
1993
Change from
preceding year
1992
1993
Billions of dollars
Profits from current production
Domestic
Financial
Nonfinancial
Rest of the world
IVA
CCAdj
Profits before tax
Profits tax liability
Profits after tax
Cash flow from current production
Profits by industry:
Profits before tax with IVA
Domestic
Financial
Nonfinancial
Manufacturing
Trade
Transportation and public utilities
Other
Rest of the world
Receipts (inflows)
Payments (outflows)
466.6
407.9
87.4
320.5
58.7
37.7
42.3
-2.0
44.4
-4.6
59.4
63.0
20.7
42.2
-3.6
-7.1
24.3
449.4
174.0
275.4
-10.2
14.9
33.1
16.5
16.6
-1.8
7.2
54.0
27.7
26.3
532.4
21.4
25.4
442.3
383.6
99.0
284.6
131.7
54.4
57.8
40.6
58.7
71.3
12.6
22.8
27.4
-2.6
30.1
25.7
-1.1
-2.4
7.8
-4.6
1.7
6.3
52.2
55.8
20.9
34.8
16.2
8.1
5.8
4.6
-3.6
6.1
9.6
Dollars
Unit prices, costs, and profits of domestic
nonfinancial corporations:
Unit price
Unit labor cost
Unit nonlabor cost
Unit profits from current production
1.164
.768
.287
,109
0.012
.004
-.004
.013
0.015
.006
-.002
.010
NOTE.—Dollar levels of these and other profits series are found in tables 1.14, 1.16, 6.16C,
and 7.15 of the "Selected NIPA Tables."
IVA Inventory valuation adjustment
CCAdj Capital consumption adjustment
8 • April 1994
SURVEY OF CURRENT BUSINESS
tween the increase in PBT and the increase in
profits from current production in 1993 reflected
an increase in the ccAdj that more than offset a
decrease in the IVA.
The ccAdj is the difference between the predominantly tax-based depreciation measure that
underlies PBT and BEA'S estimate of the consumption of fixed capital. The ccAdj increased $7.2
billion in 1993.
The IVA is an estimate, with the sign reversed,
of the inventory profits that are included in PBT.
Inventory profits increased $1.8 billion in 1993.
Property income
Corporate property income includes net interest
payments as well as profits from current production. For domestic nonfinancial corporations,
net interest payments decreased $1.6 billion in
Table 7.—Property Income of Domestic Nonfinancial
Corporations and Related Series, 1959-93
[Billions of dollars]
Property income
Profits from current
production
Year
Total
Net
interest
Total
Profits
after
tax
(1)
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
Profits
tax liability
(2)
(3)
(4)
(5)
45.8
43.4
44.7
52.7
58.6
65.4
76.4
82.3
80.5
86.1
84.4
74.2
85.3
96.1
106.0
98.9
120.2
139.0
162.6
182.4
183.2
178.9
208.9
194.0
236.6
302.2
312.1
302.0
350.0
396.0
401.8
404.9
375.2
413.6
454.2
42.6
40.0
40.8
48.2
53.8
60.0
70.3
74.9
71.8
76.0
71.3
57.1
67.2
77.0
83.6
70.6
91.5
111.5
132.0
146.1
138.1
120.7
136.9
111.5
159.9
214.3
221.4
203.8
244.2
274.4
255.2
256.4
233.9
278.3
320.5
20.7
19.2
19.5
20.6
22.8
24.0
27.2
29.5
27.8
33.6
33.3
27.2
29.9
33.8
40.2
42.2
41.5
53.0
59.9
67.1
69.6
67.0
63.9
46.3
59.4
73.7
69.9
75.6
93.5
101.7
99.5
93.9
82.7
98.2
117.0
21.9
20.8
21.3
27.5
31.0
36.1
43.1
45.4
43.9
42.4
37.9
29.9
37.2
43.2
43.4
28.4
50.0
58.5
72.1
79.0
68.5
53.7
73.0
65.2
100.4
140.7
151.5
128.2
150.8
172.6
155.7
162.5
151.2
180.1
203.5
3.1
3.5
4.0
4.5
4.8
5.3
6.1
7.4
8.8
10.1
13.2
17.1
18.1
19.2
22.5
28.3
28.7
27.5
30.6
36.3
45.1
58.2
71.9
82.5
76.7
87.9
90.7
98.3
105.8
121.6
146.6
148.5
141.3
135.3
133.7
Domestic income
Net
reproducible
assets'
(6)
(7)
217.2
224.6
230.1
252.8
269.7
292.0
322.8
356.2
372.8
409.3
443.3
452.8
487.3
543.2
612.0
655.7
700.6
795.7
904.4
1,032.6
1,147.4
1,232.4
1,373.6
1,404.0
1,508.2
1,711.4
1,815.3
1,883.6
2,024.9
2,210.2
2,322.0
2,425.8
2,429.0
2,563.1
2,709.8
392.0
406.9
417.7
431.0
448.6
471.0
503.4
551.0
603.9
660.4
729.3
800.2
871.0
955.2
1,076.2
1,273.1
1,468.0
1,612.9
1,779.3
2,000.4
2,283.1
2,606.0
2,938.1
3,180.3
3,300.2
3,435.8
3,606.7
3,744.1
3,889.6
4,101.4
4,327.7
4,516.6
4,634.0
4,698.8
4,827.1
1. Structures, equipment, and inventories, valued at current replacement cost. Data are
averages ol end-of-year values lor adjacent years.
NOTE.—Property income is profits from current production plus net interest. Profits from
current production is corporate profits with inventory valuation adjustment and capital
consumption adjustment. Profits after tax is also shown with inventory valuation adjustment and
capital consumption adjustment. Current data on most series are shown in table 1.16 of the
"Selected NIPA Tables." The value of structures and equipment through 1992 are from Fixed
Reproducible Tangible Wealth in the United States. 1925-89, (Washington DC: U.S.
Government Printing Office, 1993) and from SURVEY OF CURRENT BUSINESS 73 (September
1993): 64-65. Data on structures and equipment for 1993 and all data on inventories are
unpublished BEA estimates.
1993, to $133.7 billion, after decreasing $6.0 billion
in 1992.
Chart 4 and table 7 provide a perspective on
the recent changes in both types of property income. From 1970 to 1990, both types trended up,
but net interest, which increased at an average
annual rate of 11.4 percent, generally increased
much faster than profits, which increased at an
average annual rate of 7.8 percent. As a result,
the share of net interest in property income rose
from 23.0 percent in 1970 to 36.7 percent in 1990.
Since 1990, however, net interest has decreased
each year (at an average rate of 3.4 percent);
the downtrend reflects the ebbing of the wave of
leveraged buyouts that were so prominent in the
I98o's, the efforts by corporations to restructure
balance sheets, and falling interest rates. Profits,
in contrast, decreased only in 1991; in 1992 and
i993> profits increased at an average rate of 17.1
percent. As a consequence, the share of net interest in property income slid to 29.4 percent in
1993Further perspective on recent changes in property income can be gained by examining the
relationship of property income to the stock of
net reproducible assets and to domestic income.
Net reproducible assets consist of fixed capital
stock and inventories, both of which are measured at current replacement cost; these assets
increased 2.7 percent in 1993 after increasing 1.2
percent in 1992. From 1970 to 1990, in contrast,
these assets grew at an average rate of 9.0 percent.
Domestic income of corporations is property
CHART 4
Profits From Current Production
and Net Interest, Domestic
Nonfinancial Corporations, 1970-93
BHHon$
$
400
300
200
100
Net Interest
I I I I I I I I I I I I II
1970 72 74 76 78 80 82 84 66 88 90 92
U.S. DspflrtmntOi ConviHfoOt BUTMUOI EbononncnTMiyos
..-
:
April 1994
SURVEY OF CURRENT BUSINESS
income plus compensation of employees; it increased 5.7 percent in 1993 after increasing 5.5
percent in 1992.
The ratio of property income to the stock of net
reproducible assets is the average rate of return
on these assets. The use of property income,
rather than profits alone, as the numerator of
this ratio captures the total return to investment
(profits plus interest) regardless of whether the
investment was financed by equity or by debt.4
The ratio of property income to domestic income is property income's share of domestic
income—that is, the fraction of domestic income
that is not used to compensate labor. Property
4. Rates of return can be calculated in many other ways; several are
discussed in some detail in the box "Rates of Return" in SURVEY OF CURRENT
BUSINESS 69 (April 1989): 8.
Table
8.—Rate
of
Return,
Income
Share,
and
Average
income's share is related to the rate of return by a
third ratio—the ratio of domestic income to the
value of net reproducible assets, which measures
the average annual product per dollar of capital.5
The three ratios are plotted for 1970-93 in
chart 5 and are reported, along with related ratios, for 1959-93 in table 8. Property income's
rate of return (column 1) and its share of domestic income (column 6) appear to have shifted
to lower levels around 1970. The rate of return
fell from an average of 12.8 percent in 1959-69 to
an average of 8.6 percent in 1970-93; the share
of domestic income fell from an average of 21.2
percent to an average of 16.6 percent.
In 1993, property income's rate of return and its
share of domestic income continued to rebound
from cyclical decreases in 1991 that took the ratios
to their lowest levels in almost a decade. Higher
profits were responsible for the rebounds in both
ratios. H
Product of Capital, Domestic Nonfinancial Corporations,
1959-93
[Percent]
Rate of return
Share of domestic income
Property income
Property income
Profits
from
current
production
Net
interest
Average
product of
capital
(6)
(7)
(8)
(9)
21.1
19.3
19.4
20.8
21.7
22.4
23.7
23.1
21.6
21.0
19.0
16.4
17.5
17.7
17.3
15.1
17.2
17.5
18.0
17.7
15.9
14.5
15.2
13.8
15.6
17.6
17.1
16.0
17.3
17.9
17.3
16.7
15.4
16.1
16.8
19.6
17.8
17.7
19.1
19.9
20.6
21.8
21.0
195
18.6
16.1
12.6
13.8
14.2
13.7
10.8
13.1
14.0
14.6
14.1
12.0
9.8
9.9
7.9
10.6
12.5
125
10.8
12.1
12.4
11.0
10.6
9.6
10.9
11.8
Profits from current
production
Year
5. It should be noted that this ratio is not appropriate for use in productivity analysis; for productivity analysis, the denominator should measure
capital services, not capital stock.
Total
Total
Profits tax
liability
Profits
after
tax
0)
(2)
(3)
(4)
11.7
10.7
10.7
12.2
13.1
13.9
15.2
14.9
13.3
13.0
11.6
9.3
9.8
10.1
9.9
7.8
8.2
8.6
9.1
9.1
8.0
6.9
7.1
6.1
7.2
8.8
8.7
8.1
9.0
9.7
9.3
9.0
8.1
8.8
9.4
10.9
9.8
9.8
11.2
12.0
12.7
14.0
13.6
11.9
11.5
9.8
7.1
7.7
8.1
7.8
5.5
6.2
6.9
7.4
7.3
6.0
4.6
4.7
3.5
4.8
62
6.1
5.4
6.3
6.7
5.9
5.7
5.0
5.9
6.6
Net
interest
(5)
Total
CHART 5
Selected Ratios, Domestic
Nonfinancial Corporations, 1970-93
Percent
15
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
5.3
4.7
4.7
4.8
5.1
5.1
5.4
5.4
4.6
5.1
4.6
3.4
3.4
3.5
3.7
3.3
2.8
3.3
3.4
3.4
3.0
2.6
2.2
1.5
1.8
2.1
1.9
2.0
2.4
2.5
2.3
2.1
1.8
2.1
2.4
5.6
5.1
5.1
6.4
6.9
7.7
8.6
8.2
7.3
6.4
5.2
3.7
4.3
4.5
4.0
2.2
3.4
3.6
4.1
3.9
3.0
2.1
2.5
2.1
3.0
4.1
4.2
3.4
3.9
4.2
3.6
3.6
3.3
3.8
4.2
0.8
.9
.9
1.1
1.1
1.1
1.2
1.3
1.5
1.5
1.8
2.1
2.1
2.0
2.1
2.2
2.0
1.7
1.7
1.8
2.0
2.2
2.4
2.6
2.3
2.6
2.5
2.6
2.7
3.0
3.4
3.3
3.0
2.9
2.8
1.4
1.5
1.7
1.8
1.8
1.8
1.9
2.1
2.4
2.5
3.0
3.8
3.7
3.5
3.7
4.3
4.1
3.5
3.4
3.5
3.9
4.7
52
5.9
5.1
5.1
5.0
5.2
52
5.5
6.3
6.1
5.8
5.3
4.9
0.555
.554
.552
.587
.604
.621
.641
.645
.616
.619
.611
.567
.560
.571
.572
.517
.477
.491
.506
.514
.503
.476
.467
.442
.462
.500
.509
.506
.520
.542
.538
.539
.526
.547
.560
Source: Table 7.
NOTE.—Columns 1-5 are percentages of the stock of net reproducible assets (structures,
equipment, and inventories] valued at current replacement cost Columns 6-6 are percentages
of domestic income. Column 9 is calculated as the ratio of column 1 to column 6.
RATE OF RETURN
10
5 I I I I I I I I I I I I I I I I I I I I I
Percent
20
PROPERTY INCOMES SHARE
15
I
10
I I I I I I I I I I I I I I I I I
Ratio
.6
PRODU CT PER DOLLAR OF CAPITAL
•—*~\
/
•
—s/
5
4
I I I1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1970 72
74 76
78 80
82 84 86
US. Depertmnt of Commerce, Bureau of Eaonomie Anrfyw
I I I I
88 90 92
April 1994
SURVEY OF CURRENT BUSINESS
10
NATIONAL
INCOME
AND P R O D U C T
ACCOUNTS
Selected NIPA Tables
New estimates in this issue: "Advance" estimates for the first quarter of 1994.
The selected set of national income and product accounts (NIPA) tables shown in this section presents
quarterly estimates, which are updated monthly. (In most tables, the annual estimates are also shown.) These
tables are available on the day of the gross domestic product (GDP) news release on printouts and diskettes on a
subscription basis or from the Commerce Department's Economic Bulletin Board. For order information, write
to the National Income and Wealth Division (BE-54), Bureau of Economic Analysis, Washington, DC 20230 or
call (202) 606-5304.
Tables containing the estimates for 1929-87 are available in the two-volume set National Income and Product
Accounts of the United States, see inside back cover for order information. For 1988-92, the complete official
time series of NIPA estimates can be found as follows:
1988
1989
N/PA'S, VOl. 2
Most tables
Tables 1.15, 1.16, and 7.15
Tables 3.15-3.20 and 9.1-9.6...
Sept. 1993 SURVEY
Tables 7.1, 7.2, and 8.1
Apr. 1993 SURVEY
Tables 7-3-7-12
1990-92
July 1992 SURVEY
Aug. 1993 SURVEY
Sept. 1993 SURVEY
Sept. 1992 SURVEY
Sept. 1993 SURVEY
Apr. 1993 SURVEY
Summary NIPA series back to 1929 are in the September 1993 SURVEY. Errata to published NIPA tables appear
in the September 1992, April 1993, October 1993, and March 1994 issues, NIPA tables are also available, most
beginning with 1929, on diskettes or magnetic tape. For more information on the presentation of the estimates,
see "A Look at How BEA Presents the NIPA'S" in the February 1994 SURVEY.
NOTE.—This section of the SURVEY is prepared by the National Income and Wealth Division and the
Government Division.
Table 1.1.—Gross Domestic Product
Table 1.2.—Gross Domestic Product in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
Gross domestic
product
Personal consumption
expenditures
Durable goods
Nondurable goods
Services
Gross private domestic
investment
Fixed investment
Nonresidential
Structures
Producers' durable
equipment
Residential
Change in business
inventories
Nonfarm
Farm
Net exports of goods and
services
Exports ,
Imports ,
Government purchases
Federal
National defense ....
Nondefense
State and local
1993
1992
6,038.5 6,377.9 6,194.4 6,261.6 6,327.6 6,395.9 6,526.5 6,609.4
Gross domestic
product
1993
1993
1992
1994
4,986.3 5,136.0 5,068.3 5,078.2 5,102.1 5,138.3 5,225.6 5,259.0
4,139.9 4,391.8 4,256.2 4,296.2 4,359.9 4,419.1 4,492.0 4,549.4
Personal consumption
expenditures
3,341.8 3,453.2 3,397.2 3,403.8 3,432.7 3,469.6 3,506.9 3,539.8
497.3 537.9 516.6 515.3 531.6 541.9 562.8 577.4
1,300.9 1,350.0 1,331.7 1,335.3 1,344.8 1,352.4 1,367.5 1,376.1
2,341.6 2,503.9 2,407.9 2,445.5 2,483.4 2,524.8 2,561.8 2,595.9
Durable goods
Nondurable goods
Services
456.6 490.0 473.4 471.9 484.2 493.1 510.9 522.9
1,062.9 1,088.1 1,081.8 1,076.0 1,083.1 1,093.0 1,100.2 1,106.7
1,822.3 1,875.2 1,842.0 1,855.9 1,865.4 1,883.5 1,895.8 1,910.2
796.5
891.7
833.3
874.1
874.1
884.0
934.5
978.0
789.1
565.5
172.6
876.1
623.7
178.7
821.3
579.5
171.1
839.5
594.7
172.4
861.0
619.1
177.6
876.3
624.9
179.1
927.6
656.0
185.8
943.8
664.7
178.9
392.9
223.6
445.0
252.4
408.3
241.8
422.2
244.9
441.6
241.9
445.8
251.3
470.2
271.6
485.8
279.1
7.
23
5'.0
15.6
21.1
-5.5
12.0
9.
2.4
34.6
33.0
1.5
13.1
16.8
-3.7
7.7
22.6
-14.9
6.9
12.0
-5.0
34.2
33.7
.5
-29.6
-63.6
-38.8
-48.3
-65.1
-71.9
-69.1
-82.4
640.5
670.1
661.7
725.:
654.7
651.
699.6
660.0
725.0
653.2
725.1
682.4
751.
693J
751.2
1,131.8 1,158.1 1,143.8 1,139.7 1,158.6 1,164.8 1,169.1 1,164.4
448.8
313.8
135.0
683.0
443.4
303.4
140.1
714.6
452.4
315.7
136.7
691.4
442.7
304.8
137.9
697.0
447.5
307.6
140.0
711.1
443.6
301.9
141.7
721
440.0
299.2
140.7
729.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
1992
1994
1993
434.0
292.8
141.2
730.3
Gross private domestic
investment
Fixed investment
Nonresidential
Structures
Producers' durable
equipment
Residential
Change in business
inventories
Nonfarm
Farm
Net exports of goods and
services
Exports .
Imports .
Government purchases
Federal
National defense ....
Nondefense
State and local
732.9
820.3
763.0
803.0
803.6
813.4
861.4
896.7
726.4
529.2
150.6
806.0
591.8
151.5
754.3
543.7
148.0
773.7
562.3
148.2
790.6
584.3
151.1
806.9
594.8
151.2
852.9
625.7
155.6
866.2
634.1
148.9
378.6
197.1
440.2
214.2
395.7
210.6
414.1
211.4
433.2
206.2
443.6
212.1
470.0
227.2
485.1
232.2
14.3
19.7
-5.3
8.7
7.5
1.2
29.3
2.7
3.8
29.3
0
13.0
17.1
-4.1
19.4
-12.9
8.5
12.9
-4.4
30.5
30.7
-.2
-33.6
-76.5
-38.8
-59.9
-75.2
-86.3
-84.5 -104.2
578.0
611.6
598.
674.8
591.6
630.3
588.0
647.9
593.2
668.4
591.9
678.2
620.0
704.5
945.2
938.9
946.9
931.3
941.1
941.7
941.7
926.8
373.0
261
111.8
572.2
354.9
242.4
112.5
584.0
373.7
261.3
112.4
573.2
357.6
246.0
111.5
573.
359.4
246.4
113.0
581.6
353.7
240.1
113.7
588.0
349.0
237.1
111.8
592.8
338.0
228.4
109.6
588.9
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
605.0
709.3
SURVEY OF CURRENT BUSINESS
April 1994
Table 1.4.—Gross Domestic Product by Major Type of Product
in Constant Dollars
Table 1.3.—Gross Domestic Product by Major Type of Product
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
Gross domestic
product
Final sales of domestic
product
Change in business
inventories
Goods 1
1993
1992
1994
1993
6,038.5 6,377.9 6,194.4 6,261.6 6,327.6 6,395.9 6,526.5 6,609.4
6,031.2 6,362.3 6,182.5 6,227.1 6,314.5 6,388.2 6,519.6 6,575.2
7.3
15.6
12.0
34.6
13.1
7.7
6.9
34.2
2,312.8 2,421.9 2,377.6 2,397.4 2,408.1 2,409.4 2,472.7 2,519.7
Final sales
Change in business
inventories
2,305.5 2,406.3 2,365.6 2,362.9 2,395.0 2,401.7 2,465.8 2,485.5
Durable goods
Final sales
Change in business
inventories
977.9 1,047.9 1,007.1 1,018.6 1,040.5 1,047.7 1,084.7 1,118.0
975.8 1,037.0 1,008.3 1,003.5 1,037.8 1,032.9 1,073.7 1,087.9
Nondurable goods
Final sales
Change in business
inventories
1,334.9 1,374.0 1,370.5 1,378.9 1,367.5 1,361.6 1,388.0 1,401.7
1,329.6 1,369.3 1,357.3 1,359.3 1,357.1 1,368.8 1,392.1 1,397.6
Services1 .
7.3
2.0
5.3
15.6
10.9
4.7
12.0
-1.2
13.2
34.6
15.0
19.5
13.1
2.7
10.4
34.2
7.7
14.8
-7.2
11.0
-4.1
30.1
4.1
3,221.1 3,410.5 3,296.1 3,341.8 3,388.1 3,437.8 3,474.3 3,516.5
504.6
Structures .
545.5
520.8
522.4
531.5
548.7
579.5
573.1
1. Exports and imports of certain goods, primarily military equipment purchased and sold by the Federal
(Billions of dollars]
Less: Change in business
inventories
Equals: Final sales to
domestic purchasers2
Final sales of domestic
product
Change in business
inventories
Goods *
1994
1993
1992
4,986.3 5,136.0 5,068.3 5,078.2 5,102.1 5,138.3 5,225.6 5,259.0
4,979.8 5,121.7 5,059.6 5,048.9 5,089.1 5,131.8 5,217.1 5,228.6
6.5
14.3
8.7
29.3
13.0
6.5
8.5
30.5
2,005.7 2,083.8 2,057.7 2,060.2 2,069.1 2,074.9 2,130.9 2,161.0
Final sales
Change in business
inventories
Durable goods
Final sales
Change in business
inventories
Nondurable goods
Final sales
Change in business
inventories
Services1 .
Structures .
1,999.2 2,069.5 2,049.0 2,030.9 2,056.1 2,068.5 2,122.5 2,130.6
6.5
14.3
8.7
29.3
914.0
911.7
981.2
970.6
941.8
942.6
951.2
938.2
964.9
2.4
10.6
13.0
3.9
13.0
6.5
8.5
30.5
982.5 1,022.2 1,047.8
968.7 1,010.5 1,020.9
13.9
11.7
26.9
1,091.7 1,102.6 1,116.0 1,109.0 1,100.2 1,092.4 1,108.7 1,113.3
1,087.6 1,098.9 1,106.4 1,092.7 1,091.1 1,099.8 1,111.9 1,109.7
4.1
3.7
9.6
16.3
9.1
-7.4
-3.2
3.6
2,534.7 2,586.4 2,556.5 2,565.3 2,577.5 2,596.7 2,606.0 2,617.7
445.8
465.9
454.2
452.7
455.5
466.6
488.7
480.3
1. Exports and imports of certain goods, primarily military equipment purchased and sold by the Federal
Table 1.6.—Relation of Gross Domestic Product, Gross Domestic
Purchases, and Final Sales to Domestic Purchasers in Constant
Dollars
Table 1.5.—Relation of Gross Domestic Product, Gross Domestic
Purchases, and Final Sales to Domestic Purchasers
Equals: Gross domestic
purchases*
Gross domestic
product
1993
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
Gross domestic product ...
1992
Government, are included in services.
Government, are included in services.
Less: Exports of goods and
services
Plus: Imports of goods and
services
• 11
[Billions of 1987 dollars]
6,038.5 6,377.9 6,194.4 6,261.6 6,327.6 6,395.9 6,526.5 6,609.4
640.5
661.7
654.7
651.3
660.0
653.2
682.4
670.1
725.3
693.5
699.6
725.0
725.1
751.5
751.2
6,068.2 6,441.5 6,233.2 6,309.9 6,392.7 6,467.8 6,595.6 6,691.8
Gross domestic product ...
Less: Exports of goods and
services
Plus: Imports of goods and
services ,
Equals: Gross domestic
purchases'
34.2
Less: Change in business
inventories
6,060.8 6,425.9 6,221.2 6,275.4 6,379.5 6,460.1 6,588.7 6,657.6
Equals: Final sales to
domestic purchasers2
7.3
15.6
12.0
34.6
13.1
7.7
6.9
4,986.3 5,136.0 5,068.3 5,078.2 5,102.1 5,138.3 5,225.6 5,259.0
578.0
598.3
591.6
588.0
593.2
591.9
620.0
605.0
611.6
674.8
630.3
647.9
668.4
678.2
704.5
709.3
5,019.9 5,212.5 5,107.1 5,138.1 5,177.4 5,224.6 5,310.0 5,363.3
6.5
14.3
8.7
29.3
13.0
6.5
8.5
30.5
5,013.4 5,198.2 5,098.4 5,108.8 5,164.3 5,218.1 5,301.6 5,332.8
1. Purchases by U.S. residents of goods and services wherever produced.
1. Purchases by U.S. residents of goods and services wherever produced.
2. Final sales to U.S. residents of goods and services wherever produced.
2. Final sales to U.S. residents of goods and services wherever produced.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
Table 1.7.—Gross Domestic Product by Sector
Table 1.8.—Gross Domestic Product by Sector in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Gross domestic
product
Business
6,038.5 6,377.9 6,194.4 6,261.6 6,327.6 6,395.9 6,526.5 6,609.4
5,114.4 5,404.5 5,254.4 5,303.0 5,359.0 5,416.6 5,539.5 5,607.9
Nonfarm
5,006.4 5,306.9 5,138.7 5,184.7 5,263.7 5,330.1 5,449.1 5,508.7
Nonfarm less housing .... 4,505.4 4,791.0 4,639.6 4,674.0 4,751.0 4,812.8 4,926.4 4,967.7
Housing
501.0 515.9 499.1 510.8 512.7 517.4 522.8 541.0
Farm
83.6
83.8
98.1
82.4
83.3
89.2
73.2
84.4
Statistical discrepancy
32.1
34.4
1.2
15.2
12.0
1.2
13.3
23.6
Households and institutions
Private households
Nonprofit institutions
General government
Federal
State and local
Addendum:
Gross domestic business
product less housing ...
Gross domestic
product
Business
4,986.3 5,136.0 5,068.3 5,078.2 5,102.1 5,138.3 5,225.6 5,259.0
4,267.6 4,408.0 4,346.2 4,353.9 4,374.1 4,408.4 4,495.4 4,527.3
Nonfarm
4,168.4 4,321.1 4,240.0 4,247.4 4,288.1 4,330.1 4,418.7 4,446.6
Nonfarm less housing .... 3,769.3 3,915.8 3,839.3 3,844.8 3,883.7 3,924.0 4,010.6 4,036.6
Housing
399.1 405.3 400.7 402.6 404.4 406.1 408.1 410.0
Farm
67.5
79.6
74.4
79.7
78.2
79.7
76.2
75.7
Statistical discrepancy
10.8
19.7
12.5
1.0
28.3
26.5
9.8
1.0
267.0
286.3
275.7
280.3
284.7
288.1
292.3
297.8
209.1
217.0
212.4
213.5
216.8
218.4
219.4
221.1
10.1
256.9
11.1
275.2
10.6
265.2
10.8
269.5
11.0
273.7
11.3
276.8
11.5
280.8
11.7
286.1
Private households ..
Nonprofit institutions
8.8
200.4
9.3
207.7
9.0
203.4
9.2
204.3
9.3
207.5
9.4
209.0
9.5
209.9
9.6
211.5
657.1
687.1
664.3
678.4
683.9
691.2
694.7
703.7
General government ..
509.5
511.1
509.8
510.8
511.3
511.5
510.8
510.6
199.8
457.3
207.0
480.1
198.7
465.6
206.2
472.1
206.2
477.7
208.3
483.0
207.1
487.6
210.8
492.9
150.5
359.0
147.2
363.9
148.8
361.0
148.8
362.0
147.8
363.4
146.9
364.5
145.1
365.7
143.9
366.7
4,608.9
Households and institutions
Federal
State and local
Addendum:
Gross domestic business
product less housing ...
3,864.9
12 • April 1994
SURVEY OF CURRENT BUSINESS
Table 1.9.—Relation of Gross Domestic Product, Gross National
Product, Net National Product, National Income, and Personal
Income
Table 1.10.—Relation of Gross Domestic Product, Gross National
Product, Net National Product, and National Income in Constant
Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
1992
Gross domestic product
Less: Consumption of fixed
capital
Capital
consumption
allowances
Less: Capital
consumption
adjustment
Equals: Net national product
Less: Corporate profits with
inventory valuation and
capital consumption
adjustments
Net interest
Contributions for
social insurance
Wage accruals less
disbursements
Plus: Personal interest income
Personal dividend
income
Government transfer
payments to
Seasonally adjusted at annual rates
1994
129.2
131.7
122.3
122.8
131.9
135.1
131.6
124.8
122.4
132.3
128.7
142.8
671.3
648.0
663.2
663.3
679.7
679.0
Gross domestic product
Equals: Gross national
product
6,045.8 6,378.1 6,191.9 6,262.1 6,327.1 6,402.3 6,520.9
657.9
1992
Plus: Receipts of factor
income from the rest of the
world l
Less: Payments of factor
income to the rest of the
world 2
137.2
121.9
734.5
Less: Consumption of fixed
capital
Equals: Net national product
605.7
630.0
612.1
622.3
624.8
636.3
636.4
664.9
-52.1
-41.3
-36.0
-40.9
-38.4
-43.4
-42.6
-69.5
5,387.9 5,706.8 5,543.9 5,598.8 5,663.9 5,722.6 5,841.9
Less: Indirect business tax
and nontax liability
Business transfer
payments
Statistical discrepancy
Plus: Subsidies less current
surplus of government
enterprises
Equals: National income
1993
1992
6,038.5 6,377.9 6,194.4 6,261.6 6,327.6 6,395.9 6,526.5 6,609.4
Plus: Receipts of factor
income from the rest of the
world 1
Less: Payments of factor
income to the rest of the
world 2
Equals: Gross national
product
1993
502.8
530.5
515.7
515.6
526.2
532.4
547.7
549.7
27.6
23.6
27.9
15.2
28.1
32.1
27.0
34.4
27.8
12.0
28.4
13.3
28.3
1.2
28.3
2.7
7.0
7.7
17.1
6.1
-5.3
10.3
7.2
Less: Indirect business tax
and nontax liability plus
business transfer payments
less subsidies plus current
surplus of government
enterprises
Statistical discrepancy
1993
1994
1993
1992
4,986.3 5,136.0 5,068.3 5,078.2 5,102.1 5,138.3 5,225.6 5,259.0
105.5
104.7
98.9
98.3
105.0
107.1
108.5
97.7
102.2
98.8
95.8
103.0
99.6
110.4
4,994.0 5,138.6 5,068.4 5,080.7 5,104.1 5,145.8 5,223.7
595.0
598.6
584.0
595.0
592.5
604.4
602.4
648.9
4,399.0 4,540.0 4,484.4 4,485.8 4,511.6 4,541.4 4,621.3
402.0
19.7
417.5
12.5
409,
26.5
411.6
28.3
414.9
9.8
419.1
10.8
424.4
1.0
428.0
Equals: National income
3,977.3 4,110.1 4,048.6 4,045.9 4,087.0 4,111.4 4,196.0
Addenda:
Net domestic product
Domestic income
Gross national income
4,391.2 4,537.5 4,484.4 4,483.3 4,509.6 4,533.8 4,623.2 4,610.1
3,969.5 4,107.5 4,048.5 4,043.4 4,085.0 4,103.9 4,197.8
4,974.3 5,126.1 5,041.9 5,052.5 5,094.3 5,135.0 5,222.7
1. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
4,836.6 5,140.3 4,975.8 5,038.9 5,104.0 5,143.2 5,275.0
2. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
Table 1.11.—Command-Basis Gross National Product in Constant
Dollars
407.2
442.0
466.6
445.6
439.5
447.7
432.1
450.1
458.1
443.2
468.5
444.6
507.9
444.5
555.6
585.3
564.6
568.9
585.9
590.5
595.9
613.7
80.0
695.4
0
693.1
0
695.7
0
696.7
0
700.2
-20.0
694.3
20.0
695.2
-80.0
694.5
140.4
152.3
157.0
157.8
159.0
159.4
160.7
836.8
890.2
855.4
873.0
883.7
896.4
907.5
922.6
21.6
persons
Business transfer
payments to
persons
158.3
21.9
22.0
21.4
21.8
22.1
22.3
22.0
[Billions of 1987 dollars]
Gross national product
Less: Exports of goods and
services and receipts of
factor income from the rest
of the world
Plus: Command-basis exports
of goods and services and
receipts of factor incomex .
Equals: Personal income
5,144.9 5,388.3 5,328.3 5,254.7 5,373.2 5,412.7 5,512.7 5,578.1
Equals: Command-basis
gross national product ....
Addenda:
Net domestic product
Domestic income
Gross national income
5,380.7 5,706.6 5,546.4 5,598.4 5,664.3 5,716.2 5,847.5 5,874.9
4,829.4 5,140.1 4,978.3 5,038.4 5,104.5 5,136.8 5,280.6
6,022.2 6,362.9 6,159.9 6,227.6 6,315.2 6,389.0 6,519.7
Addendum:
Terms of trade 2
1. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
2. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
4,994.0 5,138.6 5,068.4 5,080.7 5,104.1 5,145.8 5,223.7
683 5
703 0
690 4
686 4
698.1
699.0
728.5
689.3
719.5
692.4
700.4
712.5
718.1
746.8
4,999.8 5,155.0 5,070.3 5,094.8 5,118.4 5,164.9 5,241.9
100.9
102.3
100.3
102.0
102.1
102.7
102.5
1. Exports of goods and services and receipts of factor income deflated by the implicit price deflator for
imports of goods and services and payments of factor income.
2. Ratio of the implicit price deflator for exports of goods and services and receipts of factor income to the
corresponding implicit price deflator for imports with the decimal point shifted two places to the right.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
April 1994 •
SURVEY OF CURRENT BUSINESS
J3
Table 1.16.—Gross Domestic Product of Corporate Business in
Current Dollars and Gross Domestic Product of Nonfinancial
Corporate Business in Current and Constant Dollars
Table 1.14.—National Income by Type of Income
[Billions of dollars]
Seasonally adjusted at annual rates
1992
1993
III
IV
National income.
Compensation of employees
Wages and salaries.
Government
Other
Supplements to wages and
salaries
Employer contributions
for social insurance ...
Other labor income
Proprietors' income with
IVA and CCAdj
Farm
Proprietors' income with
IVA
CCAdj
1992
IV
2,953.1 3,100.5 3,015.8 3,054.3 3,082.7 3,115.4 3,149.6 3,200.7
567.5 589.7 574.2 584.1 586.3 592.8 595.4 602.0
2,385.6 2,510.8 2,441.6 2,470.2 2,496.3 2,522.6 2,554.2 2,598.8
629.0
671.7
642.8
650.7
668.0
678.5
306.3
322.7
321.0
350.7
311.3
331.5
312.2
338.5
321.4
346.6
323.8
354.7
326.7
362.9
334.5
371.9
414.3
443.2
431.2
444.1
439.4
422.5
467.0
475.6
43.7
46.0
47.6
55.7
47.0
24.8
56.4
60.0
706.5
32.1
-7.3
63.5
-7.0
67.0
-7.0
397.6
410.6
399.2
415.6
405.2
-1.0
11.5
54.8
-7.2
62.8
-7.1
54.1
-7.1
Nonfarm
Proprietors' income
IVA
CCAdj
370.6
358.0
-.5
13.1
397.3
385.3
-1.0
13.0
383.6
362.2
7.8
13.7
388.4
376.4
-1.6
13.7
392.4
380.3
Rental income of persons
with CCAdj
-8.9
12.6
-1.2
7.5
12.7
13.7
16.4
3.5
57.4
-66.3
75.2
-62.6
57.4
-58.6
71.3
-63.8
73.2
-60.4
77.2
-63.5
79.0
-62.6
89.1
-85.6
407.2
466.6
439.5
432.1
458.1
468.5
507.9
390.1
395.4
146.3
249.1
150.5
98.6
-5.3
442.3
449.4
174.0
275.4
169.0
106.4
-7.1
414.8
409.9
155.0
254.9
162.9
92.0
407.0
419.8
160.9
258.9
167.5
91.4
-12.7
433.4
445.6
173.3
272.3
168.5
103.9
-12.2
444.8
443.8
169.5
274.3
169.7
104.6
1.0
484.0
488.4
192.5
295.9
170.3
125.6
-4.3
-17.7
17.1
24.3
20.6
442.0
445.6
Corporate profits with IVA ..
Profits before tax
Profits tax liability
Profits after tax
Dividends
Undistributed profits
IVA
CCAdj
Net interest
Addenda:
Corporate profits after tax
with IVA and CCAdj
Net cash flow with IVA
and CAdj
Undistributed profits
with IVA and CCAdj
Consumption of fixed
capital
Less: IVA
Equals: Net cash flow ....
1994
1993
1992
3,582.0 3,772.2 3,658.6 3,705.1 3,750.6 3,793.9 3,839.2 3,907.2
53.1
-7.1
Corporate profits with IVA
and CCAd]
1993
4,836.6 5,140.3 4,975.8 5,038.9 5,104.0 5,143.2 5,275.0
51.2
-7.5
Rental income of persons ..
CCAdj
Seasonally adjusted at annual rates
1994
1993
1992
4.9
24.7
447.7
-1.2
13.3
385.4
-.4
12.7
-.9
12.3
25.1
24.7
23.8
23.9
450.1
443.2
444.6
171.7
444.5
Billions of dollars
Gross domestic
product of corporate
business
Consumption of fixed capital ..
Net domestic product
Indirect business tax and
nontax liability plus
business transfer
payments less subsidies
Gross domestic
product of financial
corporate business ..
284.5
271.2
284.8
299.1
315.4
507.0
532.4
518.2
505.9
521.5
543.3
559.0
110.4
123.6
121.7
103.7
116.3
129.3
145.1
396.6
-5.3
512.3
408.8
-7.1
539.5
396.5
4.9
513.2
402.2
-12.7
518.7
405.2
-12.2
533.7
414.0
1.0
542.3
413.9
-4.3
563.3
Indirect business tax and
nontax liability plus
business transfer
payments less subsidies
432.8
-17.7
408.8
396.5
402.2
405.2
414.0
413.9
432.8
359.6
378.4
368.3
365.1
377.2
380.4
391.2
392.6
328.3
366.8
337.2
346.7
363.3
371.6
385.8
Gross domestic
product of
nonfinancial
corporate business .. 3,243.4 3,417.3 3,331.6 3,331.7 3,395.9 3,432.2 3,509.4
Net domestic product
292.6
396.6
3,175.1 3,375.3 3,272.3 3,276.2 3,354.0 3,389.8 3,481.3
2,815.5 2,996.9 2,904.0 2,911.1 2,976.8 3,009.4 3,090.1
Domestic income
Compensation of
2,337.4 2,460.2 2,390.3 2,408.2 2,448.7 2,475.7 2,508.3 2,556.5
employees
Wages and salaries ... 1,940.9 2,038.4 1,983.9 2,002.8 2,029.0 2,048.7 2,073.3 2,109.8
Supplements to wages
396.5 421.8 406.3 405.3 419.7 427.0 435.0 446.7
and salaries
Corporate profits with
344.9 407.9 384.8 373.0 400.0 405.8 452.8
IVA and CCAdj
333.2 390.7 355.2 360.7 387.5 381.1 433.3
Profits before tax
146.3 174.0 155.0 160.9 173.3 169.5 192.5
Profits tax liability ..
186.9 216.6 200.2 199.8 214.3 211.6 240.8
Profits after tax
127.3 155.0 147.4 156.7 152.9 152.5 157.9
Dividends
Undistributed
61.4
43.2
82.9
52.8
61.6
59.6
59.1
profits
-4.3 -17.7
-7.1
4.9 -12.7 -12.2
IVA
1.0
-5.3
23.9
24.3
25.1
24.7
20.6
23.8
24.7
17.1
CCAdj
133.2 128.7 128.9 129.9 128.1 127.9 129.0
Net interest
Consumption of fixed capital ..
260.9
3,571.7 3,784.1 3,668.8 3,678.4 3,759.2 3,803.8 3,895.2
352.7
362.2
351.7
356.8
359.0
367.0
366.0
383.8
2,890.7 3,055.1 2,979.9 2,975.0 3,036.8 3,065.1 3,143.3
327.7
345.2
336.0
333.0
344.0
347.0
356.9
358.3
Domestic income
2,563.1 2,709.8 2,643.9 2,642.0 2,692.8 2,718.1 2,786.4
Compensation of
employees
2,149.5 2,255.6 2,195.9 2,215.0 2,244.7 2,267.1 2,295.7 2,336.6
Wages and salaries ... 1,782.4 1,866.4 1,820.0 1,840.3 1,857.3 1,873.3 1,894.8 1,925.5
Supplements to wages
367.0 389.2 375.9 374.7 387.4 393.8 400.9 411.2
and salaries
Corporate profits with
278.3 320.5 314.1 292.1 315.0 318.2 356.7
IVA and CCAdj
255.1 291.6 273.2 268.4 291.2 281.8 325.2
Profits before tax
98.2 117.0 105.8 106.4 117.6 112.5 131.4
Profits tax liability ..
156.9 174.7 167.4 162.0 173.6 169.3 193.7
Profits after tax
105.2 126.3 120.7 127.4 125.4 124.0 128.4
Dividends
Undistributed
46.7
48.4
51.7
65.3
45.3
48.2
34.6
profits
-7.1
-5.3
^ . 3 -17.7
4.9 -12.7 -12.2
1.0
IVA
35.9
28.5
35.9
36.0
33.5
35.4
36.4
CCAdj
36.0
135.3 133.7 133.9 134.9 133.1 132.8 134.0
Net interest
Billions of 1987 dollars
Gross domestic
product of
nonfinancial
corporate business .. 2,822.3 2,936.3 2,887.4 2,867.5 2,916.6 2,948.9 3,012.1
318.4 324.2 317.2 321.0 321.4 327.9 326.5
Consumption of fixed capital ..
Net domestic product
2,503.9 2,612.1 2,570.1 2,546.5 2,595.2 2,620.9 2,685.6
Indirect business tax and
nontax liability plus
business transfer
payments less subsidies
258.7 270.2 264.5 265.7 268.4 271.6 275.1
Domestic income
2,245.2 2,341.9 2,305.7 2,280.8 2,326.8 2,349.3 2,410.5
342.3
277.8
14 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.—Personal Income and Its Disposition
Table 2.2.—Personal Consumption Expenditures by Major Type of
Product
[Billions of dollars]
[Billions of dollars]
Seasonally adjusted at annual rates
1992
1993
1992
IV
Personal income
Wage and salary
disbursements
Commodity-producing
industries
Manufacturing
Distributive industries
Service industries
Government
Seasonally adjusted at annual rates
1994
1993
I
1992
IV
1993
4,139.9
497.3
204.3
4,391.8
194.5
98.5
1,300.9
633.7
228.2
103.4
13.8
321.8
2,341.6
1992
1994
1993
5,144.9 5,388.3 5,328.3 5,254.7 5,373.2 5,412.7 5,512.7 5,578.1
2,973.1 3,080.5 3,095.8 2,974.3 3,082.7 3,115.4 3,149.6 3,200.7
756.5
577.6
682.0
967.0
567.5
Other labor income
322.7
763.6 783.3
577.3 602.0
706.6 709.9
1,020.6 1,028.4
589.7 574.2
350.7
331.5
740.7 765.1 769.4 779.3 789.5
559.7 580.3 581.5 587.8 595.8
682.9 709.1 714.4 720.1 733.5
966.6 1,022.2 1,038.8 1,054.7 1,075.8
584.1 586.3 592.8 595.4 602.0
338.5
346.6
354.7
362.9
371.9
Personal consumption
expenditures
Durable goods
Motor vehicles and parts ...
Furniture and household
equipment
Other
Nondurable goods
Food
Proprietors' income with
inventory valuation and
capital consumption
adjustments
Farm
Nonfarm
414.3
43.7
370.6
443.2
46.0
397.3
431.2
47.6
383.6
444.1
55.7
388.4
439.4
47.0
392.4
422.5
24.8
397.6
467.0
56.4
410.6
475.6
60.0
415.6
Rental income of persons
with capital
consumption
adjustment
-8.9
12.6
-1.2
7.5
12.7
13.7
16.4
3.5
Personal dividend income
140.4
158.3
152.3
157.0
157.8
159.0
159.4
160.7
Personal interest income
694.3
695.2
694.5
695.4
693.1
695.7
696.7
700.2
858.4
912.1
877.4
894.4
905.5
918.5
929.8
438.4
420.8
433.1
435.0
439.4
446.1
457.6
39.2
19.3
34.1
20.0
37.8
19.0
34.5
20.0
34.4
20.2
35.1
20.1
32.3
19.6
115.5
304.1
110.2
289.7
112.8
294.0
114.6
301.3
116.4
307.5
118.3
313.5
119.0
321.2
23.3
254.4
23.9
280.2
23.5
266.2
23.6
270.4
24.1
277.2
24.0
283.5
24.1
289.4
23.9
297.3
515.3
531.6
541.9
562.8
577.4
213.7
211.7
220.8
221.7
235.1
250.0
211.7
103.9
202.7
100.2
203.3
100.3
208.6
102.2
214.0
106.2
220.8
106.9
219.8
107.6
1,350.0 1,331.7 1,335.3 1,344.8
657.8
237.3
103.7
15.1
336.0
647.6
236.1
105.2
13.9
328.9
648.2
233.1
106.0
15.1
332.9
654.1
235.2
103.6
14.9
337.2
1,352.4 1,367.5 1,376.1
660.0
238.2
102.4
15.4
336.4
2,503.9 2,407.9 2,445.5 2,483.4 2,524.8
669.1
242.7
102.9
15.0
337.7
671.7
243.2
101.4
16.9
342.8
2,561.8 2,595.9
26.9
19.9
108.3
277.7
Services
516.6
222.3
944.6
413.9
Clothing and shoes
Gasoline and oil
Fuel oil and coal
Other
4,256.2 4,296.2 4,359.9 4,419.1 4,492.0 4,549.4
537.9
Other
Transfer payments to
persons
Old-age, survivors,
disability, and health
insurance benefits
Government
unemployment
insurance benefits
Veterans benefits
Government employees
retirement benefits
Other transfer payments
Aid to families with
dependent children
Other
600.0
234.4
105.8
627.9
251.2
113.4
609.2
245.0
111.0
617.6
245.7
111.1
625.1
246.7
109.8
631.1
255.2
116.4
637.8
257.3
116.2
647.5
256.5
116.8
128.7
155.4
628.4
723.5
137.8
170.0
134.0
162.4
646.9
744.3
134.5
166.3
662.2
753.8
136.9
169.1
675.4
767.1
138.7
170.9
686.9
780.7
141.1
173.8
699.2
793.7
139.6
176.7
710.0
805.2
773.8
Table 2.3.—Personal Consumption Expenditures by Major Type of
Product in Constant Dollars
[Billions of 1987 dollars]
Less: Personal
contributions for social
insurance
249.3
Less: Personal tax and
nontax payments
644.8
264.3
681.6
253.3
670.7
256.6
657.1
264.5
681.0
266.8
689.0
269.2
699.2
279.1
715.7
Equals: Disposable personal
income
4,500.2 4,706.7 4,657.6 4,597.5 4,692.2 4,723.7 4,813.5 4,862.4
Less: Personal outlays
4,261.5 4,516.8 4,377.9 4,419.7 4,483.6 4,544.0 4,620.1 4,680.4
Personal consumption
expenditures
Interest paid by persons ....
Personal transfer payments
to rest of the world (net)
Housing
Household operation
Electricity and gas
Other household
operation
Transportation
Medical care
Personal consumption
expenditures
Durable goods
Motor vehicles and parts ...
Furniture and household
equipment
Other
Nondurable goods
Food
Clothing and shoes
Gasoline and oil
Fuel oil and coal
Other
Services
4,139.9 4,391.8 4,256.2 4,296.2 4,359.9 4,419.1 4,492.0 4,549.4
114.1 116.8
119.3
114.0
111.3
112.5 112.7
111.1
Equals: Personal saving
Addenda:
Disposable personal
income:
Total, billions of 1987
dollars
Per capita:
Current dollars
1987 dollars
Population (mid-period,
millions)
Personal saving as
percentage of disposable
personal income
10.4
11.0
10.5
11.0
11.0
10.8
11.2
11.7
238.7
189.9
279.7
177.9
208.7
179.7
193.4
182.0
3,632.
3,700.9 3,717.6 3,642.6 3,694.4 3,708.7 3,757.9 3,783.3
17,615 18,225 18,153 17,876 18,196 18,265 18,561 18,705
14,219 14,330 14,490 14,163 14,326 14,341 14,491 14,554
255J
5.3
258.3
256.6
257.2
257.9
258.6
259.3
259.9
4.0
6.0
3.9
4.4
3.8
4.0
3.7
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
Housing
Household operation
Electricity and gas
Other household
operation
Transportation
Medical care
Other
3,341.8
3,453.2 3,397.2 3,403.8 3,432.7 3,469.6 3,506.9 3,539.8
456.6
490.0
473.4
471.9
484.2
493.1
510.9
522.9
182.3
191.7
188.6
185.7
191.3
189.9
199.7
211.7
194.8
79.5
216.3
82.0
204.2
80.6
206.5
79.7
212.4
80.6
219.4
83.7
227.1
84.1
227.2
84.0
1,062.9 1,088.1 1,081.8 1,076.0 1,083.1 1,093.0 1,100.2 1,106.7
520.5
193.7
83.9
11.9
252.9
531.0
199.5
84.9
13.0
259.8
529.3
200.0
84.4
11.9
256.2
1,822.3 1,875.2 1,842.0
484.2
211.7
95.3
492.0
218.9
99.0
486.7
216.6
98.5
116.4
122.7
449.2
554.4
119.9
126.3
463.4
574.6
118.1
123.7
453.2
561.7
526.7
194.8
83.9
12.9
257.7
1,855.9
488.8
217.9
99.1
118.8
124.5
458.0
566.8
528.6
197.8
84.1
12.6
259.9
532.6
200.6
86.2
13.2
260.4
536.0
204.6
85.4
13.1
261.1
536.4
205.5
84.6
14.5
265.6
1,865.4 1,883.5 1,895.8 1,910.2
96.2
493.3
220.8
100.6
495.3
221.3
100.3
497.8
222.8
101.2
119.4
126.1
461.1
571.8
120.2
126.5
465.1
577.9
121.1
128.0
469.3
581.9
121.5
128.7
472.7
588.2
490.7
215.6
April 1994
SURVEY OF CURRENT BUSINESS
Table 3.2.—Federal Government Receipts and Expenditures
Table 3.3.—State and Local Government Receipts and Expenditures
[Billions of dollars]
[Billions of dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
Receipts
1994
1993
1992
1,183.0 1,269.5 1,221.1 1,218.4 1,268.0 1,275.9 1,315.7
Personal tax and nontax
receipts
Income taxes
Estate and gift taxes
Nontaxes
520.7
506.0
13.2
1.5
527.1
512.7
519.0
12.8
1.5
14.4
1.7
15.8
111.3
132.4
15.7
116.7
142.4
15.3
127.2
139.3
15.1
124.2
158.1
15.3
142.8
87.3
50.3
19.8
17.2
83.5
46.5
19.1
18.0
81.5
47.4
18.8
15.3
86.2
48.5
20.4
17.3
86.7
48.8
20.0
17.8
95.0
56.6
20.1
18.3
92.9
54.4
19.6
18.9
517.8
498.7
502.3
518.7
522.8
527.5
544.6
120.2
16.8
103.5
490.7
Contributions for social
insurance
143.1
15.3
127.7
81.3
46.8
18.3
16.2
Indirect business tax and
nontax accruals
Excise taxes
Customs duties
Nontaxes
521.3
506.7
13.0
1.6
511.8
498.3
12.1
1.4
127.1
535.1
1992
Receipts
502.1
489.1
11.6
1.5
490.8
478.0
11.3
1.4
Corporate profits tax accruals
Federal Reserve banks
Other
Expenditures
1993
549.0
532.5
14.6
1.9
Personal tax and nontax
receipts
Income taxes
Nontaxes
Other
Corporate profits tax accruals
1,459.3 1,495.9 1,485.3 1,481.9 1,490.6 1,488.5 1,522.6 1,497.1
Indirect business tax and
nontax accruals
Sales taxes
Property taxes
Other
Contributions for social
insurance
1993
1992
1994
1993
861.6
837.8
860.2
881.0
894.2
917.0
155.0
160.3
121.0
19.5
19.5
19.8
162.0
122.1
19.8
20.0
164.1
123.6
20.2
20.3
154.0
116.7
18.3
19.0
160.3
120.8
19.7
19.9
158.8
120.8
18.8
19.2
26.0
31.0
27.9
28.5
30.8
30.1
34.4
421.5
443.1
200.8
177.7
43.0
211.7
432.2
205.7
181.4
45.1
434.1
206.5
183.9
43.6
440.0
209.3
186.5
44.3
445.7
212.8
187.9
45.0
452.7
218.2
189.3
45.2
186.9
44.5
116.4
19.2
166.6
125.5
20.5
20.6
456.7
220.2
190.8
45.7
64.9
67.4
65.9
66.5
67.2
67.7
68.3
69.0
171.4
186.2
176.7
176.1
182.8
188.6
197.4
187.9
Expenditures
830.6
886.2
848.0
859.4
895.9
909.7
916.7
683.0
714.6
691.4
697.0
711.1
721.2
729.2
730.3
457.3
225.7
480.1
234.5
465.6
225.7
472.1
224.9
477.7
233.4
483.0
238.3
487.6
241.6
492.9
237.4
Federal grants-in-aid
Purchases
National defense
Nondefense
448.8
313.8
135.0
443.4
303.4
140.1
452.4
315.7
136.7
442.7
304.8
137.9
447.5
307.6
140.0
443.6
301.9
141.7
440.0
299.2
140.7
434.0
292.8
141.2
Purchases
Compensation of
employees
Other
Transfer payments (net)
To persons
To rest of the world (net) ...
624.5
608.2
651.9
636.1
642.0
628.9
13.1
645.6
632.7
12.9
652.8
639.1
13.7
667.2
643.7
23.5
665.2
652.3
12.8
228.6
254.1
238.4
244.1
251.0
257.2
263.9
270.2
15.8
641.7
617.1
24.6
Transfer payments to persons
16.3
-46.0
66.1
-45.3
68.7
-45.7
67.1
-45.5
67.7
-45.3
68.4
-45.2
69.0
-45.0
69.6
-44.9
70.2
171.4
186.2
176.7
176.1
182.8
188.6
197.4
187.9
Net interest paid
Interest paid
Less: Interest received by
government
113.7
182.5
182.2
178.7
41.2
219.0
176.9
174.0
43.2
174.8
212.4
169.1
43.2
10.2
10.7
10.5
10.5
10.7
10.8
10.9
11.0
42.1
219.9
176.7
43.2
180.4
217.2
115.1
178.3
214.1
172.4
41.6
114.2
114.6
181.3
216.4
175.0
41.4
113.9
113.2
180.8
217.5
175.0
42.5
112.1
112.8
187.1
219.9
36.7
35.1
35.7
36.5
37.7
36.7
37.5
-24.8
.4
-26.5
.5
-25.5
.4
-25.8
.4
-26.2
.5
-26.7
-27.4
32.8
-27.9
.5
27.5
31.7
33.6
36.2
33.2
36.1
42.9
43.7
32.3
35.9
21.4
24.8
37.7
40.5
35.1
37.7
25.2
27.0
25.9
26.2
26.6
27.1
27.9
28.4
4.1
2.7
2.9
3.6
3.4
2.8
2.5
0
0
0
0
0
Grants-in-aid to State and
local governments
Net interest paid
Interest paid
To persons and business
To rest of the world (net)
Less: Interest received by
government
Subsidies less current surplus
of government enterprises .
Subsidies
Less: Current surplus of
government enterprises ..
Less: Wage accruals less
disbursements
Surplus or deficit (-),
national income and
product accounts
Social insurance funds
Other
Subsidies less current surplus
of government enterprises .
Subsidies
Less: Current surplus of
government enterprises..
Less: Wage accruals less
disbursements
Surplus or deficit (-),
national income and
product accounts
Social insurance funds
Other
-276.3 -226.4 -264.2 -263.5 -222.6 -212.7 -207.0
36.4
32.2
41.3
30.2
45.2
44.7
45.3
-308.5 -267.8 -300.6 -293.7 -267.8 -257.4 -252.3
Less: Dividends received by
government
57.2
0
7.2
1.8
13.5
.8
1.1
-1.7
7.2
59.4
-52.2
58.6
-56.7
59.6
-46.0
59.0
-58.2
58.9
-57.8
58.5
-60.2
57.9
-50.7
57.2
l6
• April 1994
SURVEY OF CURRENT BUSINESS
Table 3.7B.—Government Purchases by Type
Table 3.8B.—Government Purchases by Type in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
1992
Government purchases
1993
1992
Seasonally adjusted at annual rates
1994
1993
1,131.8 1,158.1 1,143.8 1,139.7 1,158.6 1,164.8 1,169.1 1,164.4
Federal
448.8
443.4
452.4
442.7
447.5
443.6
440.0
434.0
National defense
Durable goods
Nondurable goods
Services
Compensation of
employees
Military
Civilian
Other services
Structures
313.8
315.7
307.6
75.3
301.9
67.4
299.2
292.8
62.2
9.0
Nondefense
Durable goods
Nondurable goods
Commodity Credit
Corporation
inventory change ...
Other nondurables
Services
Compensation of
employees
Other services
Structures
219.4
219.8
8.0
217.5
135.7
90.7
45.0
83.2
5.6
137.0
91.0
46.0
81.2
5.3
133.7
89.2
44.5
87.3
6.0
137.2
91.5
45.7
79.1
5.0
136.4
91.2
45.2
80.6
5.0
137.9
90.7
47.2
81.5
5.8
136.3
90.5
45.8
83.5
5.2
138.1
91.6
46.5
79.4
5.2
135.0
140.1
7.5
7.2
136.7
7.4
9.3
137.9
7.3
7.8
140.0
7.9
7.6
141.7
7.3
7.3
140.7
7.3
6.3
141.2
7.0
6.4
0
9.3
109.7
-.4
8.1
112.2
-.3
7.9
109.0
-.3
7.5
114.6
114.3
-.2
7.5
116.1
-.2
6.5
115.6
-.2
6.6
116.9
64.1
44.9
10.3
70.0
44.6
10.8
65.0
44.7
10.3
43.2
10.5
44.6
10.1
70.4
45.7
11.0
70.8
44.8
11.5
72.6
44.3
10.9
714.6
691.4
697.0
711.1
721.2
729.2
730.3
37.6
60.2
485.3
39.3
62.2
506.9
38.2
60.7
493.5
38.7
61.7
499.6
39.2
63.0
504.4
39.7
62.3
509.9
39.8
61.9
513.9
40.4
63.0
519.9
457.3
28.0
Durable goods
Nondurable goods
Services
Compensation of
employees
Other services
Structures
216.4
10.2
217.0
65.1
9.1
218.1
9.8
221.0
9.3
218.9
683.0
State and local
78.9
304.8
74.4
10.3
303.4
70.6
9.4
480.1
26.8
106.2
465.6
27.9
99.0
472.1
27.5
97.1
477.7
26.6
104.5
483.0
26.9
109.4
487.6
26.3
113.6
492.9
27.0
107.0
79.0
7.1
8.6
-.7
9.2
1992
1993
1992
1994
1993
945.2
938.9
946.9
931.3
941.1
941.7
941.7
373.0
354.9
373.7
357.6
359.4
353.7
349.0
338.0
National defense
Durable goods
Nondurable goods
Services
Compensation of
employees
Military
Civilian
Other services
Structures
261.2
73.2
261.3
72.6
8.6
174.7
246.0
67.2
8.3
166.1
246.4
67.4
240.1
9.2
165.5
60.9
8.7
237.1
58.9
8.5
228.4
55.8
7.6
173.6
242.4
63.6
8.7
165.6
165.4
165.3
160.6
100.9
66.4
34.5
72.7
5.0
95.8
63.4
32.4
69.8
4.5
99.0
65.4
33.7
75.7
5.3
97.7
64.4
33.3
68.4
4.4
96.4
63.8
32.7
69.0
4.4
95.3
63.1
32.2
70.1
5.0
93.8
62.2
31.6
71.5
4.4
93.1
61.8
31.3
67.6
4.3
Nondefense
Durable goods
Nondurable goods
Commodity Credit
Corporation
inventory change ...
Other nondurables
Services
Compensation of
employees
Other services
Structures
111.8
7.5
7.9
112.5
8.1
6.5
112.4
7.9
8.4
111.5
7.8
7.2
113.0
8.4
6.9
113.7
8.1
6.4
111.8
8.2
5.4
109.6
7.3
5.6
-.4
8.3
87.4
-.3
6.8
0
8.4
87.2
-.2
7.4
87.3
-.2
7.1
-.3
6.7
89.8
-.3
5.8
88.4
-.2
5.8
87.4
49.6
37.8
9.0
51.3
37.3
9.2
49.8
37.4
8.9
51.0
36.3
51.6
9.1
51.4
37.4
8.7
38.2
9.4
51.3
37.2
9.8
50.8
36.7
9.2
572.2
584.0
573.2
573.7
581.6
588.0
592.8
588.9
33.3
52.1
395.8
34.1
53.5
402.6
33.6
52.7
398.2
33.8
53.0
400.1
34.0
53.4
401.9
34.3
53.8
403.4
34.5
54.0
405.0
34.7
54.4
406.4
359.0
36.7
91.1
363.9
38.7
93.8
361.0
37.3
88.6
362.0
38.1
86.9
363.4
38.4
92.4
364.5
38.9
96.5
365.7
39.3
99.3
366.7
39.7
93.3
Government purchases
Federal
State and local
Durable goods
Nondurable goods
Services
Compensation of
employees
Other services
Structures
9.4
Table 3.10.—National Defense Purchases
Table 3.11.—National Defense Purchases in Constant Dollars
[Billions of dollars]
926.8
[Billions of 1987 dollars]
National defense
purchases
Durable goods
Military equipment
Aircraft
Missiles
Ships
Vehicles
Electronic equipment..
Other
Other durable goods
Nondurable goods
Petroleum products
Ammunition
Other nondurable goods
Services
313.8
303.4
315.7
304.8
307.6
301.9
299.2
292.8
79.0
70.6
78.9
74.4
75.3
67.4
65.1
62.2
73.2
22.7
14.3
12.1
66.3
20.9
12.1
10.7
72.6
21.9
14.2
11.6
70.5
20.8
13.5
11.1
70.5
22.5
12.9
11.3
63.1
20.1
11.6
10.0
60.9
20.1
10.4
10.1
3.8
6.6
3.0
6.3
3.9
7.1
4.2
6.6
3.2
6.8
2.3
6.4
2.1
5.6
13.6
13.3
14.0
14.2
13.9
12.6
12.5
5.8
4.3
6.3
3.9
4.8
4.3
4.2
58.2
19.3
10.4
9.1
2.2
5.5
11.8
4.0
10.3
9.4
9.8
9.0
10.2
9.3
9.1
8.0
3.5
3.4
3.4
3.2
3.6
2.7
3.0
3.6
3.2
3.0
3.5
2.5
3.4
4.0
2.7
3.3
3.1
2.9
2.9
3.8
2.5
2.5
3.1
2.4
218.9
218.1
221.0
216.4
217.0
219.4
219.8
217.5
Compensation of
Military
Civilian
Other services
Contractual research and
development
Installation support1
Weapons support2
Personnel support3
Transportation of
material
Travel of persons
Other
Structures.
Military facilities
Other
135.7
90.7
45.0
83.2
137.0
91.0
46.0
81.2
133.7
89.2
44.5
87.3
137.2
91.5
45.7
79.1
136.4
91.2
45.2
80.6
137.9
90.7
47.2
81.5
136.3
90.5
45.8
83.5
138.1
91.6
46.5
79.4
26.5
23.4
10.0
13.3
26.6
23.2
27.5
24.3
10.0
13.4
27.2
22.1
26.6
21.9
25.5
24.9
27.1
24.0
9.1
9.6
9.1
8.6
11.6
12.2
13.3
14.1
24.5
24.5
8.1
14.2
9.1
12.8
5.8
6.2
5.2
6.3
6.1
7.2
5.0
6.3
5.3
6.4
5.6
6.5
5.0
6.0
-2.0
-2.1
-1.1
-2.2
-1.5
-3.3
-1.3
4.5
4.8
-1.3
5.6
5.3
6.0
5.0
5.0
5.8
5.2
5.2
3.5
2.1
3.2
2.1
3.8
2.2
3.0
2.0
3.0
2.1
3.6
2.2
3.0
2.2
3.0
2.2
1. Includes utilities, communications, rental payments, maintenance and repair, and payments to contractors to
operate installations.
2. Includes depot maintenance and contractual services for weapons systems, other than research and
development.
3. Includes compensation of foreign personnel, consulting, training, and education.
National defense
purchases
Durable goods ,
Military equipment
Aircraft
Missiles
Ships
Vehicles
Electronic equipment..
Other
Other durable goods
Nondurable goods
Petroleum products
Ammunition
Other nondurable goods
Services
Compensation of
employees
Military
Civilian
Other services
Contractual research and
development
Installation supportl
Weapons support2
Personnel support3
Transportation of
material
Travel of persons
Other
Structures.
Military facilities ....
Other
261.2
242.4
261.3
246.0
246.4
240.1
237.1
228.4
73.2
63.6
72.6
67.2
67.4
60.9
58.9
55.8
67.1
20.2
15.3
10.3
58.7
17.5
12.7
66.3
19.0
15.7
62.9
17.7
14.1
62.1
18.8
13.2
9.8
3.4
6.5
9.3
3.6
6.0
9.5
2.6
6.2
53.9
16.7
11.2
8.4
3.4
6.1
8.9
2.5
5.8
55.9
16.6
12.4
8.3
2.0
5.9
1.8
5.1
11.8
11.4
11.9
12.1
11.8
10.8
10.7
6.1
4.9
6.4
4.4
5.3
5.0
5.0
51.6
15.7
11.6
7.5
1.9
5.0
10.0
4.2
9.4
8.7
8.6
8.3
9.2
8.7
8.5
7.6
2.9
3.5
3.0
2.8
3.6
2.4
2.4
3.3
2.9
2.7
3.4
2.2
2.9
3.9
2.4
2.9
3.1
2.7
2.6
3.8
2.2
2.5
2.8
2.2
173.6
165.6
174.7
166.1
165.5
165.4
165.3
160.6
100.9
66.4
34.5
72.7
95.8
63.4
32.4
69.8
99.0
65.4
33.7
75.7
97.7
64.4
33.3
68.4
96.4
63.8
32.7
69.0
95.3
63.1
32.2
70.1
93.8
62.2
31.6
71.5
93.1
61.8
31.3
67.6
23.6
20.6
23.4
20.1
24.1
21.2
23.8
19.4
23.4
19.1
22.4
21.4
24.2
20.5
8.4
7.4
9.6
8.2
9.9
7.4
8.7
7.8
9.1
7.4
6.9
21.7
21.0
6.4
10.0
10.6
10.6
10.0
6.1
5.6
5.4
5.4
5.4
5.5
5.8
5.6
5.3
5.1
-1.6
6.6
6.4
-.8
5.3
5.4
-1.6
-1.6
-1.1
-2.5
-1.0
4.6
4.1
-.9
5.0
4.5
5.3
4.4
4.4
5.0
4.4
4.3
3.3
1.7
2.9
1.6
3.5
1.8
2.8
1.6
2.8
1.6
3.3
1.7
2.8
1.7
2.7
1.6
1. Includes utilities, communications, rental payments, maintenance and repair, and payments to contractors to
operate installations.
2. Includes depot maintenance and contractual services for weapons systems, other than research and
development.
3. Includes compensation of foreign personnel, consulting, training, and education.
SURVEY OF CURRENT BUSINESS
April 1994
•
Table 4.1.—Foreign Transactions in the National Income and Product
Accounts
Table 4.2.—Exports and Imports of Goods and Services and
Receipts and Payments of Factor Income in Constant Dollars
[Billions of dollars]
1J
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
1992
1993
1992
1993
Seasonally adjusted at annual rates
1992
1994
1993
1992
1994
1993
IV
Receipts from rest of the world
769.7 793.4 777.0 774.1 791.8 788.3
651.3
453.2
306.9
146.3
198.0
819.6
Exports of goods and services
Merchandise1
Durable
Nondurable
Services'
640.5
448.7
300.8
147.9
191.7
653.2
452.2
307.4
144.8
200.9
682.4
482.0
330.2
151.8
200.4
Receipts of factor income2
129.2 131.7 122.3 122.8 131.9 135.1
137.2
661.7
461.5
314.6
146.9
200.2
654.7
462.0
311.1
150.9
192.8
660.0
458.6
314.0
144.6
201.3
465.8
321.7
144.1
203.0
769.7 793.4 777.0 774.1 791.8 788.3
819.6
670.1
544.5
346.3
198.2
125.6
725.1
591.9
384.5
207.3
133.3
751.5
614.2
409.8
204.4
137.2
Payments of factor income3
121.9 131.6 124.8 122.4 132.3 128.7
142.8
Payments to rest of the world .
Transfer
From
From
From
payments (net)
persons (net)
government (net)
business
Net foreign investment
32.7
10.4
16.3
6.0
725.3
592.1
385.7
206.4
133.2
32.8
11.0
15.8
6.0
693.5
564.7
359.7
205.1
128.7
41.2
10.5
24.6
6.1
699.6
569.6
368.8
200.7
130.0
29.7
11.0
13.1
5.6
725.0
592.6
379.5
213.1
132.4
29.9
11.0
12.9
6.0
30.9
10.8
13.7
6.3
40.8
11.2
23.5
6.0
598.3
440.5
306.5
134.0
157.8
751.2
614.6
414.6
200.0
136.6
30.8
11.7
12.8
6.3
Receipts of factor income2
105.5 104.7
Imports of goods and services
Merchandisel
Durable
Nondurable
Servicesl
Capital grants received by the United
States (net)
Imports of goods and services
Merchandise *
Durable
Nondurable
Services1
578.0
422.7
288.0
134.7
155.4
Exports of goods and services
Merchandise1
Durable
Nondurable
Services1
611.6
511.9
332.5
179.4
99.7
I
II
III
IV
!
591.6
437.3
300.0
137.3
154.3
588.0
430.2
296.5
133.7
157.8
593.2
434.5
302.4
132.1
158.6
591.9
434.1
302.2
131.9
157.8
620.0
463.0
324.9
138.1
157.0
605.0
446.7
318.0
128.8
158.3
98.9
630.3
530.3
348.0
182.4
100.0
97.7 102.2
Payments of factor income3
674.8
571.4
379.5
191.8
103.4
98.8
98.3 105.0 107.1 108.5
647.9
545.9
360.5
185.5
102.0
668.4
565.7
372.1
193.6
102.7
95.8 103.0
678.2
574.9
381.0
193.9
103.3
704.5
598.9
404.5
194.4
105.6
709.3
604.0
410.6
193.4
105.3
99.6 110.4
1. Exports and imports of certain goods, primarily military equipment purchased and sold by the Federal
Government, are included in services.
2. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
3. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
-55.1 -96.2 -82.4 -77.6 -95.4 -96.4 -115.5
1. Exports and imports of certain goods, primarily military equipment purchased and sold by the Federal
Government, are included in services.
2. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
3. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
Table 4.3—Exports and Imports of Merchandise by End-Use Category
Table 4.4.—Exports and Imports of Merchandise by End-Use Category
in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Exports of merchandise .
Foods, feeds, and beverages
Industrial supplies and materials
Durable goods
Nondurable goods
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
Imports of merchandise
448.7 461.5 462.0 453.2 458.6 452.2 482.0 465.8
40.3 40.5 41.9 40.8 39.6 38.9 42.6 39.4
105.2 103.2 104.9 103.0 103.0 102.4 104.3 100.9
36.9 37.6 37.2 37.2 37.6 38.1 37.6 36.9
68.4 65.5 67.7 65.8 65.4 64.2 66.7 64.1
176.9 183.4 182.0 177.8 183.3 178.5 193.8 188.4
37.7 32.8 37.1 33.1 36.4 27.1 34.5 33.5
28.8 29.3 30.0 28.8 28.0 29.6 30.7 31.2
110.4 121.3 114.9 115.9 118.8 121.9 128.6 123.7
47.1 51.6 50.9 51.2 51.3 48.4 55.6 54.1
50.4 53.6 53.3 51.5 52.2 54.2 56.6 54.0
25.6 27.4 26.5 26.3 27.2 27.5 28.7 27.9
24.8 26.2 26.8 25.2 25.1 26.7 27.9 26.2
28.9 29.3 28.9 28.8 29.3 29.9 29.1 28.9
14.5 14.6 14.5 14.4 14.6 14.9 14.6 14.5
14.5 14.6 14.5 14.4 14.6 14.9 14.6 14.5
544.5 592.1 564.7 569.6 592.6 591.9 614.2 614.6
27.9
27.5
28.3
29.0
28.8
89.1 84.2 86.4 87.3
43.6 40.3 41.7 41.1
45.5 43.9 44.8 46.2
51.5 54.9 51.0 57.3
152.3 141.8 142.6 150.7
11.3 13.0 10.5 11.8
38.2 34.6 35.9 37.2
102.8 94.2 96.2 101.7
102.4 95.1 100.5 102.1
134.3 126.5 128.9 132.9
70.2 65.2 67.7 68.2
64.1 61.3 61.2 64.7
34.5 34.8 32.7 34.8
17.3 17.4 16.4 17.4
17.3 17.4 16.4 17.4
89.0
43.3
45.7
50.2
152.6
10.5
39.0
103.1
100.1
137.6
71.5
66.2
33.9
17.0
17.0
93.6
48.2
45.3
47.5
163.1
12.4
40.5
110.2
106.9
137.7
73.3
64.4
36.6
18.3
18.3
97.0
27.6
27.4
Imports of merchandise
422.7 440.5 437.3 430.2 434.5 434.1 463.0 446.7
35.7 35.4 37.7 36.4 35.2 33.7 36.4 32.4
97.5 95.1 96.6 94.7 94.0 94.3 97.4 92.3
32.1 31.1 31.9 31.1 30.6 31.4 31.2 29.9
65.4 64.0 64.7 63.6 63.4 63.0 66.2 62.4
178.4 192.7 186.8 184.3 189.5 190.5 206.5 203.5
30.9 26.1 30.0 26.6 29.0 21.6 27.2 26.3
51.0 60.8 56.4 55.9 57.0 62.5 67.6 69.7
96.6 105.8 100.5 101.8 103.4 106.3 111.7 107.5
41.9 45.6 45.1 45.3 45.3 42.8 49.1 47.5
43.5 45.9 45.5 44.1 44.9 46.5 48.2 46.0
22.7 24.3 23.4 23.2 24.1 24.4 25.4 24.6
20.8 21.7 22.2 21.0 20.8 22.1 22.8 21.4
25.6 25.7 25.5 25.4 25.7 26.3 25.5 25.1
12.8 12.9 12.8 12.7 12.8 13.1 12.8 12.5
12.8 12.9 12.8 12.7 12.8 13.1 12.8 12.5
511.9 571.4 530.3 545.9 565.7 574.9 598.9 604.0
26.0
25.8
25.6
26.1
25.6
25.7
25.8
25.6
137.3
73.2
64.1
36.0
18.0
18.0
Foods, feeds, and beverages
Industrial supplies and materials, except
petroleum and products
Durable goods
Nondurable goods
Petroleum and products
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
72.0 78.0 73.3 75.3 76.0 78.8 81.9 83.9
34.1 37.2 34.8 35.3 34.9 37.6 41.1 40.6
37.9 40.8 38.5 40.0 41.1 41.1 40.8 43.3
51.2 56.5 52.8 53.4 57.8 56.7 58.1 55.2
148.4 179.3 160.0 165.3 175.8 181.4 194.5 202.6
8.4
9.4
8.1
9.8
9.0 10.5
10.3
8.5
59.7 82.5 68.2 73.1 79.0 85.8 92.0 96.4
78.3 87.8 81.3 83.8 87.4 87.2 92.7 98.2
79.7 87.4 81.9 87.0 87.4 85.3 89.8 88.5
105.2 114.7 106.7 110.2 113.0 117.8 117.6 117.5
55.6 60.8 56.2 58.6 58.9 62.0 63.6 63.5
49.6 53.9 50.5 51.6 54.1 55.8 54.0 54.0
29.5 29.7 30.1 28.5 30.0 29.3 31.2 30.7
14.7 14.9 15.0 14.2 15.0 14.6 15.6 15.3
14.7 14.9 15.0 14.2 15.0 14.6 15.6 15.3
44.0 43.6 45.5 43.4 43.1 42.4 45.4 43.0
404.7 418.0 416.4 409.9 415.5 409.8 436.6 422.9
492.9 540.6 509.9 518.5 535.3 541.7 566.8 573.7
Addenda:
Exports of agricultural productsl
Exports of nonagricultural products ...
Imports of nonpetroleum products .....
39.7 38.5 41.1 38.7 38.8 37.3 39.1 35.4
382.9 402.0 396.1 391.5 395.7 396.8 423.9 411.3
460.8 514.8 477.6 492.5 507.9 518.2 540.7 548.8
Foods, feeds, and beverages
Industrial supplies and materials, except
petroleum and products
Durable goods
Nondurable goods
Petroleum and products
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
82.3
39.5
42.8
51.6
134.2
12.6
31.8
89.8
91.8
123.0
63.9
59.1
33.8
16.9
16.9
Addenda:
Exports of agricultural productsl
Exports of nonagricultural products ...
Imports of nonpetroleum products
28.1
48.7
48.2
40.9
168.7
10.3
41.7
116.7
105.9
1. Includes parts of: exports of foods, feeds, and beverages, of nondurable industrial supplies and materials,
and of nondurable consumer goods, except automotive.
Exports of merchandise .
Foods, feeds, and beverages
Industrial supplies and materials
Durable goods
Nondurable goods
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
1. Includes parts of: exports of foods, feeds, and beverages, of nondurable industrial supplies and materials,
and of nondurable consumer goods, except automotive.
l8
• April 1994
SURVEY OF CURRENT BUSINESS
Table 5.1.—Gross Saving and Investment
[Billions of dollars]
Seasonally adjusted at annual rates
1992
1993
1992
I
IV
Gross saving
II
III
I
IV
762.0
766.7
774.3
986.9 1,004.8
238.7 189.9
969.4 1,024.8
279.7 177.9
988.3
208.7
988.7 1,017.5
179.7 193.4 "i'8Z0
110.4
98.6
123.6
106.4
121.7
92.0
103.7
91.4
116.3
103.9
129.3
104.6
145.1
125.6
-5.3
-7.1
4.9
-12.7
-12.2
1.0
-4.3
-17.7
17.1
24.3
24.7
25.1
24.7
23.8
23.9
20.6
396.6
408.8
396.5
402.2
405.2
414.0
413.9
432.8
261.3
262.5
251.5
261.0
258.1
265.7
265.1
301.7
-20.0
20.0
-80.0
80.0
717.8
Gross private saving
Personal saving
Undistributed corporate
profits with inventory
valuation and capital
consumption adjustments
Undistributed profits
Inventory valuation
adjustment
Capital consumption
adjustment
Corporate consumption of
fixed capital
Noncorporate consumption
of fixed capital
Wage accruals less
disbursements
Government surplus or
deficit (-), national
income and product
accounts
Federal
State and local
1994
1993
780.2
718.8
0
817.8
0
0
0
-269.1 -224.6 -250.6 -262.8 -221.5 -214.4 -199.7
-276.3 -226.4 -264.2 -263.5 -222.6 -212.7 -207.0
-1.7
7.2
7.2
13.5
.8
1.8
1.1
Capital grants received by
the United States (net)
0
0
0
0
0
0
0
0
741.4
Statistical discrepancy
750.9
796.5
778.7
787.6
891.7
-96.2
833.3
-82.4
874.1
-77.6
874.1
-95.4
884.0 934.5
-96.4 -115.5
23.6
Gross private domestic
investment
Net foreign investment
795.4
796.5
-55.1
Gross investment
15.2
32.1
34.4
12.0
819.0
13.3
978.0
1.2
Table 5.4.—Fixed Investment by Type
Table 5.5.—Fixed Investment by Type in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
1993
IV
Fixed investment.
Nonresidential
I
565.5 623.7 579.5 594.7 619.1 624.9 656.0 664.7
Structures
Nonresidential buildings, including
farm
Utilities
Mining exploration, shafts, and
wells
Other structures
172.6 178.7 171.1 172.4 177.6 179.1 185.8 178.9
Producers' durable equipment
Information processing and related
equipment
Computers and peripheral
equipment1
Other
Industrial equipment
Transportation and related
equipment
Other
392.9 445.0 408.3 422.2 441.6 445.8 470.2 485.8
Residential
Structures
Single family
Multifamily
Other structures
Producers' durable equipment
114.6 119.4 111.9 114.8 117.1 119.6 125.9 122.5
35.8 36.5 36.9 35.1 36.6 36.6 37.8 35.4
13.7
9.2
12.8
9.7
14.0
9.8
14.4
8.6
13.5
8.6
13.3
7.8
135.5 151.9 139.7 142.7 147.0 154.6 163.4 168.1
39.8 48.1
95.7 103.9
87.2 97.8
40.7
98.9
91.2
90.7 105.4
79.5
96.1 101.3 110.1 101.9 108.3 113.7
81.3 85.8 88.5 90.6 94.5 95.9
45.8 46.1 49.5 50.9 52.3
96.9 100.9 105.1 112.5 115.8
92.4 95.9 98.7 104.0 108.0
223.6 252.4 241.8 244.9 241.9 251.3 271.6 279.1
216.3 244.6 234.3 237.3 234.2 243.4 263.5 271.1
116.5 133.8 124.3 132.4 127.5 131.1 144.0 151.7
13.1 10.8 11.7 10.3 10.3 11.4 11.1 10.9
86.7 100.1 98.3 94.6 96.4 100.9 108.4 108.5
7.3
7.8
1. Includes new computers and peripheral equipment only.
12.6
9.7
7.5
7.5
IV
I
789.1 876.1 821.3 839.5 861.0 876.3 927.6 943.8
12.4
9.8
1992 1993 1992
1994
1993
1992
7.6
7.9
8.1
8.0
Fixed investment.
Nonresidential
Structures
Nonresidential buildings, including
farm
Utilities
Mining exploration, shafts, and
Other structures
Producers' durable equipment
Information processing and related
equipment
Computers and peripheral
equipmentl
Other
Industrial equipment
Transportation and related
equipment
Other
Residential
Structures
Single family
Multifamily
Other structures
Producers' durable equipment
1994
1993
I
I
726.4 806.0 754.3 773.7 790.6 806.9 852.9 866.2
529.2 591.8 543.7 562.3 584.3 594.8 625.7 634.1
150.6 151.5 148.0 148.2 151.1 151.2 155.6 148.9
100.8 101.8
30.9 30.6
97.5
31.6
99.3 100.5 101.5 106.0 102.6
29.9 30.6 30.5 31.2 29.0
11.1
8.1
10.3
8.6
10.4
8.6
10.0
8.9
11.4
8.7
11.7
7.5
10.9
7.5
10.6
6.8
378.6 440.2 395.7 414.1 433.2 443.6 470.0 485.1
159.9 195.2 168.5 178.6 186.8 200.9 214.6 222.4
71.2 100.4
88.7 94.8
72.7 80.2
77.2
91.3
75.7
89.5
89.0
76.7
94.5 105.1 112.4 117.2
92.3 95.9 102.2 105.2
78.8 80.5 84.7 87.9
77.7
68.3
82.1
69.4
85.7
73.2
92.8
74.9
76.1
85.7
76.5
91.0
79.7
94.1
80.7
197.1 214.2 210.6 211.4 206.2 212.1 227.2 232.2
190.1 206.8 203.3 204.1 198.9 204.6 219.6 224.6
102.7 113.1 107.9 113.9 108.7 110.0 119.6 125.6
9.0
9.4
9.3
11.8
9.1
9.8
9.3 10.4
75.6 84.4 85.0 81.1 81.2 84.8 90.5 89.7
7.0
7.4
1. Includes new computers and peripheral equipment only.
7.2
7.3
7.3
7.5
7.7
7.6
SURVEY OF CURRENT BUSINESS
Table 5.10—Change in Business Inventories by Industry
April 1994
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1993 1992
1993
Nonfarm
Change in book value
Inventory valuation adjustment
Manufacturing
Durable goods
Nondurable goods
7.3
15.6
12.0
34.6
5.0
Change in business inventories
Farm
-5.5
2.4
1.5
13.1
1994
1992
6.9
6.5
14.3
8.7
29.3
-5.0
Farm
3.8
-5.3
1.2
0
12.0 33.7
16.2 57.4
-4.3 -23.7
Nonfarm
2.7
19.7
7.5
2.3 21.1
9.5 33.0 16.8
3.3 51.7 34.8
8.8 31.2
6.2 -18.7 -18.0
-10.1
-6.4
-6.0
-.8 -14.2 -1.8
4.2
.4
-10.6 -1.7 -17.0 -5.5
3.7
4.6
3.9
2.8
22.6
21.9
.7
34.2
2.9
2.6
.2
-8.7
-4.3
-4.4
7.2
5.3
1.8
-3.2
3.9
6.8
.6
6.3
7.7
7.0
.7
1.4
1.0
4.6
7.2
-2.6
13.5
3.8
9.7
6.3
4.4
1.1
-.2
3.9
1.0
2.9
.2
.3
-.1
15.0
5.5
9.5
-1.5
-1.7
.2
-.3
-3.7
3.5
.9
.5
.4
6.1
1.8
4.2
.8
-1.3
2.0
10.0
6.2
3.7
-2.2
.8
-3.0
0
-.2
.2
1.4
1.2
.2
2.3
5.4
-3.1
2.3
1.8
.5
Retail trade
Durable goods
Automotive
Other
Nondurable goods
6.5
4.8
-.7
5.5
1.6
12.2
8.7
3.2
5.5
3.5
10.5
6.5
-1.9
8.4
4.0
27.6
21.9
19.0
2.9
5.8
3.0
.4
-.6
1.0
2.6
5.3
-.4
-8.4
8.0
5.7
12.8
12.9
2.9
10.0
-.1
13.8
12.3
7.5
4.8
1.6
Other
Durable goods
Nondurable goods
-4.3
3.8
-8.1
5.6
2.6
3.0
-.2
5.5
-5.8
6.5
1.9
4.6
2.8
1.4
1.4
6.7
5.6
1.1
6.5
1.4
5.1
8.1
5.3
2.8
Change in business inventories
1994
1993
7.7
4.2
1.3
2.8
Merchant wholesalers
Durable goods
Nondurable goods
Nonmerchant wholesalers
Durable goods
Nondurable goods
1992 1993
-3.7 -14.9
6.1
3.9
2.2
Wholesale trade
Durable goods
Nondurable goods
19
Table 5.11.--Change in Business Inventories by Industry in Constant
Dollars
[Billions of dollars]
1992
•
13.0
6.5
8.5
-4.1 -12.9
-4.4
-.2
29.3
17.1
19.4
12.9
30.7
.5 -12.5
-.5 -15.1
1.0
2.6
-.8
^.6
3.8
5.0
1.4
3.6
3.1
2.8
.3
-5.3
-1.7
-3.6
7.8
5.5
2.3
30.5
Manufacturing
Durable goods
Nondurable goods
-4.7
-8.9
4.2
Wholesale trade
Durable goods
Nondurable goods
5.4
3.6
1.1
3.7
1.3
2.4
10.7
3.4
7.3
-2.8
3.6
6.6
.6
6.1
6.4
6.3
.1
1.2
1.1
0
4.8
6.6
-1.9
5.6
4.0
1.6
-.2
-.4
.3
3.5
.9
2.5
.3
.4
-1
-3.3
3.2
-2.1
.8
-1.6
.4
—4
.4
5.9
1.7
4.2
.7
-1.2
1.8
8.5
5.6
2.9
-2.1
.8
-2.8
-.4
-.3
-1
1.6
1.4
.2
2.6
4.8
-2.3
2.2
1.8
.4
Retail trade
Durable goods
Automotive
Other
Nondurable goods
5.9
4.3
-.6
4.9
1.6
10.7
7.6
2.9
4.8
3.1
9.7
5.9
-1.7
7.6
3.8
24.0
18.9
16.6
2.3
5.1
3.0
.8
-.5
1.2
2.3
4.8
-.1
-7.1
7.0
4.9
11.1
11.0
2.4
8.6
.1
11.5
Other
Durable goods
Nondurable goods
-3.9
3.4
-7.3
4.7
2.2
2.5
-.4
4.9
-5.3
5.4
1.6
3.8
2.4
1.2
1.2
5.0
4.8
.2
5.9
1.2
4.7
6.5
4.4
2.2
Merchant wholesalers
Durable goods
Nondurable goods
Nonmerchant wholesalers
Durable goods
Nondurable goods
12.8
5.0
7.7
Table 5.12.—Inventories and Final Sales of Domestic Business
by Industry
1.2
Table 5.13.—Inventories and Final Sales of Domestic Business
by Industry in Constant Dollars
[Billions of dollars]
10.3
6.2
4.1
[Billions of 1987 dollars]
Seasonally adjusted quarterly totals
Seasonally adjusted quarterly totals
1992
Inventories1 ...
Farm
99.1
95.4
95.1
92.7
95.6
1,003.9 1,020.4 1,024.2 1,035.8 1,042.1 1,054.3
580.9 590.7 592.1 600.3 607.5 618.0
423.0 429.7 432.2 435.5 434.6 436.3
1994
1993
1992
985.3
992.6
995.9
997.5
88.1
88.1
87.1
83.9
82.8
82.7
Nonfarm
Durable goods
Nondurable goods
897.2
525.3
371.8
904.5
528.6
375.9
908.8
529.6
379.2
913.6
533.0
380.6
916.8
535.9
380.9
924.5
542.7
381.8
1,099.0 1,119.5 1,119.6 1,130.9 1,134.8 1,149.9
95.1
Nonfarm
Durable goods
Nondurable goods
1994
1993
Inventories'
Farm
999.6 1,007.2
Manufacturing
Durable goods
Nondurable goods
400.9
251.0
149.9
402.0
250.8
151.2
402.4
250.7
151.7
407.0
254.2
152.8
405.0
253.8
151.2
407.7
256.6
151.1
Manufacturing
Durable goods
Nondurable goods
365.9
231.9
134.0
365.7
230.7
135.0
366.9
231.1
135.8
367.7
231.8
135.9
366.4
231.4
135.0
368.4
232.8
135.6
Wholesale trade
Durable goods
Nondurable goods
247.9
155.4
92.5
249.6
155.9
93.7
251.3
156.6
94.7
254.6
159.1
95.5
256.7
160.3
96.4
258.9
163.1
95.8
Wholesale trade
Durable goods
Nondurable goods
217.7
138.5
79.2
217.9
137.8
80.1
219.6
138.0
81.6
221.2
139.5
81.6
221.5
139.8
81.7
222.7
141.5
81.2
221.4
139.4
82.0
26.5
16.0
10.4
222.6
139.5
83.1
27.0
16.4
10.6
224.1
140.5
83.7
27.2
16.1
11.1
227.6
142.5
85.0
27.0
16.6
10.4
229.4
143.3
86.0
27.3
17.0
10.4
230.6
145.3
85.3
28.3
17.8
10.5
193.8
124.0
69.8
193.8
123.1
70.6
24.2
14.7
197.4
125.0
72.4
23.8
14.6
9.2
197.3
124.9
72.4
24.2
14.9
9.3
197.9
9.5
195.3
123.6
71.7
24.3
14.4
9.9
269.5
129.4
62.5
67.0
140.1
280.1
137.0
68.2
68.7
143.1
281.2
138.0
69.3
68.7
143.3
282.7
138.2
66.9
71.3
144.5
286.6
143.0
68.5
74.5
143.6
291.4
146.4
70.7
75.8
145.0
242.4
119.9
60.6
59.3
122.5
243.2
120.1
60.5
59.6
123.0
244.4
120.1
58.7
61.4
124.2
247.1
122.9
59.4
63.5
124.3
250.0
125.4
60.9
64.5
124.6
Merchant wholesalers .......
Durable goods
Nondurable goods
Nonmerchant wholesalers .
Durable goods
Nondurable goods
Retail trade
Durable goods
Automotive
Other
Nondurable goods
Other
Final sales of domestic business2
Final sales of goods and structures of
domestic business2
85.6
88.7
89.3
91.5
93.8
96.3
436.9
439.0
445.5
450.7
461.1
464.5
240.5
240.4
243.9
245.9
253.8
254.9
Ratio of inventories to final sales of domestic
business
Inventories to final sales
Nonfarm inventories to final sales
Nonfarm inventories to final sales of goods and
structures
Retail trade
Durable goods
Automotive
Other
Nondurable goods
Other
Final sales of domestic business2
Final sales of goods and structures of
domestic business2
23.9
14.6
9.4
236.4
115.2
56.5
58.7
121.2
126.1
71.8
24.7
15.4
9.4
77.1
78.5
79.1
80.3
81.8
83.5
361.5
360.4
363.4
366.8
373.9
374.7
208.6
207.0
209.3
211.3
217.6
217.6
2.73
2.48
2.75
2.51
2.74
2.50
2.72
2.49
2.67
2.45
2.69
2.47
4.30
4.37
4.34
4.32
4.21
4.25
Ratio of inventories to final sales of domestic
business
2.52
2.30
2.55
2.32
2.51
2.30
2.51
2.30
2.46
2.26
2.48
2.27
4.17
4.24
4.20
4.21
4.11
4.14
1. Inventories are as of the end of the quarter.
2. Quarterly totals at monthly rates. Final sales of domestic business equals final sales of domestic product
less gross product of households and institutions and general government and includes a small amount of final
sales by farm.
Merchant wholesalers
Durable goods
Nondurable goods
Nonmerchant wholesalers .
Durable goods
Nondurable goods
Inventories to final sales
Nonfarm inventories to final sales
Nonfarm inventories to final sales of goods and
structures
1, inventories are as of the end of the quarter. Quarter-to-quarter changes calculated from this table are at
quarterly rates, whereas the constant-dollar change in business inventories component of GDP is stated at annual
rates.
2. Quarterly totals at monthly rates. Final sales of domestic business equals final sales of domestic product
less gross product of households and institutions and general government and includes a small amount of final
sales by farm,
20 • April 1994
SURVEY OF CURRENT BUSINESS
Table 6.1C—National Income Without Capital Consumption Adjustment
by Industry
Table 6.16C—Corporate Profits by Industry
[Billions of dollars]
[Billions of dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
National income
without capital
consumption
adjustment
1993
1992
Domestic industries
4,880.3 5,172.7 5,003.2 5,071.1 5,133.6 5,177.6 5,308.6
4,873.0 5,172.5 5,005.7 5,070.7 5,134.1 5,171.2 5,314.2
Private industries
4,138.5 4,407.2 4,262.0 4,313.3 4,372.8 4,401.9 4,540.7
Agriculture, forestry, and
fisheries
Mining
Construction
100.9
38.5
212.8
105.3
40.1
228.0
40.1
218.1
112.5
40.2
219.3
106.7
39.3
224.7
84.2
39.6
231.6
41.1
236.4
Manufacturing
Durable goods
Nondurable goods
895.3
501.7
393.6
928.2
522.6
405.6
919.0
518.8
400.2
909.6
507.6
401.9
925.8
518.0
407.7
922.5
520.8
401.8
954.8
543.9
411.0
356.1
151.0
103.7
376.1
161.8
107.4
361.4
154.4
106.4
369.0
157.4
105.4
370.7
158.9
108.2
378.4
164.4
108.5
386.1
166.7
107.3
Transportation and public
utilities
Transportation
Communications
Electric, gas, and
sanitary services ....
117.6
101.!
106.9
100.6
106.2
103.6
105.6
112.1
283.6
416.7
297.7
444.9
297.8
428.7
288.2
432.2
299.8
441.1
297.4
449.1
305.2
457.3
748.9 816.0 768.3 801.2 805.9 818.2 838.8
1,085.8 1,171.0 1,124.4 1,141.1 1,158.9 1,180.7 1,203.4
Government .
Rest of the world .
734.5
765.3
743.8
757.4
761.3
769.2
773.5
7.3
.2
-2.5
.4
-.5
6.4
-5.6
1992
IV
Corporate profits with inventory
valuation and capital
consumption adjustments
104.3
1993
1994
1993
Domestic industries
Wholesale trade
Retail trade
Finance, insurance, and
real estate
Services
1992
Financial
Nonfinancial
Rest of the world
Receipts from the rest of the world ...
Less: Payments to the rest of the
world
Corporate profits with inventory
valuation adjustment
Domestic industries
Financial
Federal Reserve banks
Other
Nonfinancial
Manufacturing
Durable goods
Primary metal industries
Fabricated metal products ....
Industrial machinery and
equipment
Electronic and other electric
equipment
Motor vehicles and
equipment
Other
Nondurable goods
Food and kindred products ...
Chemicals and allied
products
Petroleum and coal products
Other
Transportation and public utilities
Wholesale and retail trade
Other
Rest of the world
1994
1993
I
II
III
IV
407.2 466.6 439.5 432.1 458.1 468.5 507.9
344.9 407.9 384.8 373.0 400.0 405.8 452.8
66.7 87 4 70.7 81.0 85.0 87 6 96.1
278.3 320.5 314.1 292.1 315.0 318.2 356.7
62.3
65.2
58.7
71.3
54.7
60.5
59.0
66.7
58.1
71.4
62.7
74.0
55.1
73.2
3.0
12.6
5.8
77
13.3
11.3
18.1
390.1 442.3 414.8 407.0 433.4 444.8 484.0
327.8 383.6 360.1 348.0 375.3 382.1 428.9
78.1 99.0 82.0 92.3 96.4 99.3 108.1
17.8 16.2 16.7 16.6 16.2 16.0 16.2
60.3 82.8 65.3 75.7 80.2 83.3 91.9
249.8 284.6 278.1 255.7 278.9 282.8 320.8
115.5 131.7 128.0 118.9 132.5 126.7 148.9
48.3 60.2 58.0 48.0 58.4 59.9 74.4
2.5
.6
0
2.6
1.4
-.5
1.1
6.9
7.4
6.6
7.6
6.5
5.5
6.3
6.6
7.2
7.8
5.7
6.2
8.8
8.0
12.1
14.6
17.6
14.9
12.1
14.4
17.2
3.5
18.1
67 2
17.0
9.0
21.4
71 6
15.1
4.9
21.0
70 0
15.2
3.1
19.4
70 9
18.0
10.0
20.7
74 2
14.8
8.1
21.3
66 8
14.6
15.0
24.1
74 5
13.0
15.7
6.1
28.5
52.0
46 3
36.0
62.3
16.8
11.9
27.7
57.8
54 4
40.6
58.7
17.7
5.0
32.1
50.4
57 7
42.0
54.7
18.4
7.2
27.3
53.3
46 0
37.5
59.0
16.3
13.5
29.5
«flq
55 4
37.2
58.1
14.6
12.0
25.6
59.0
17.9
14.9
28.6
64 P
61 4
45.8
55.1
551
42.1
62.7
I
April 1994 • 21
SURVEY OF CURRENT BUSINESS
Table 7.1.—Fixed-Weighted and Alternative Quantity and Price Indexes for Gross Domestic Product
[Index numbers, 1987=100]
Seasonally adjusted
Seasonally adjusted
1992
1993
1992
1993
1994
1992 1993
1992
1993
1994
I
Gross domestic product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weignts
Implicit price deflator
Personal consumption expenditures:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Implicit price deflator
Durable goods:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Implicit price deflator
Nondurable goods:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Implicit price deflator
Services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Implicit price deflator
Gross private domestic investment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Implicit price deflator
Fixed investment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Implicit price deflator
133.0 140.5 136.4 137.9 139.4 140.9 143.8 145.6
109.8 113.1 111.6 111.9 112.4 113.2 115.1 115.8
109.5 112.5 111.3 111.4 111.9 112.5 114.2
109.4 112.3 111.1 111.2 111.7 112.3 114.0
122.1
121.5
121.7
121.1
125.9
125.0
125.2
124.2
123.5
122.6
122.9
122.2
124.8
123.8
124.1
123.3
125.6
124.7
124.9
124.0
126.3
125.3
125.6
124.5
127.0 127.9
126.0
126.3
124.9 "i257
135.6 143.9 139.4 140.8 142.8 144.8 147.2 149.1
109.5 113.1 111.3 111.5 112.5 113.7 114.9 116.0
109.0 112.3 110.7 110.9 111.7 112.8 113.9
109.1 112.4 110.8 110.9 111.8 112.9 114.0
124.9
124.4
124.5
123.9
128.7
128.0
128.1
127.2
126.5
125.8
125.9
125.3
127.5
126.8
127.0
126.2
128.4
127.7
127.9
127.0
128.9
128.2
128.3
127.4
129.8 130.4
129.1
129.2
128.1 "i28.5
123.2 133.2 128.0 127.6 131.7 134.2 139.4 143.0
113.1 121.4 117.3 116.9 119.9 122.1 126.6 129.5
111.6 118.9 115.5 114.8 117.7 119.5 123.6
111.8 119.1 115.7 115.0 117.9 119.8 123.8
111.5
110.4
110.2
108.9
113.8
112.2
112.1
109.8
112.1
110.8
110.7
109.1
112.6
111.2
111.1
109.2
113.5
112.0
111.9
109.8
114.1
112.5
112.4
109.9
114.9 115.4
113.2
113.1
110.1 "m"i
128.7 133.5 131.7 132.1 133.0 133.8 135.2 136.1
105.1 107.6 107.0 106.4 107.1 108.1 108.8 109.5
104.9 107.2 106.7 106.1 106.8 107.7 108.4
104.9 107.2 106.7 106.1 106.8 107.7 108.4
123.0
122.7
122.7
122.4
124.9
124.5
124.6
124.1
123.8
123.5
123.5
123.1
124.9
124.5
124.5
124.1
125.0
124.6
124.7
124.2
124.5
124.2
124.3
123.7
125.1 125.2
124.8
124.8
124.3 "1243
143.0 152.9 147.1 149.4 151.7 154.2 156.5 158.5
111.3 114.5 112.5 113.3 113.9 115.0 115.8 116.7
111.0 114.0 112.0 112.8 113.4 114.4 115.2
111.0 114.0 112.1 112.9 113.5 114.5 115.2
129.5
128.9
129.1
128.5
134.7
133.9
134.2
133.5
131.6
130.9
131.2
130.7
132.8
132.1
132.4
131.8
134.2
133.5
133.8
133.1
135.2
134.5
134.7
134.0
136.3 137.4
135.6
135.9
135.1 "iSS
106.3 119.0 111.2 116.7 116.7 118.0 124.7 130.5
97.8 109.5 101.8 107.2 107.2 108.6 115.0 119.7
96.2 105.9 99.9 104.4 104.1 104.6 110.6
96.5 106.4 100.4 104.9 104.6 105.1 111.2
109.1 121.2 113.6 116.1 119.1 121.2 128.3 130.5
100.5 111.5 104.3 107.0 109.3 111.6 118.0 119.8
98.4 107.6 101.9 103.8 105.9 107.3 113.3
108.3 102.6 104.5 106.6 108.1 114.1
112.0
111.0
110.3
108.6
114.7
112.9
112.3
108.7
112.8
111.5
110.9
108.9
113.5
112.0
111.4
108.5
114.4
112.7
112.1
108.9
115.2
113.3
112.7
108.6
115.7 116.2
1137
113.1
108.8
I
Nonresidential:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weights
Implicit price deflator
Structures:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Implicit price deflator
Producers' durable
equipment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Implicit price deflator
Residential:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Implicit price deflator
Exports of goods and services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weights ....
Price indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weights ....
Implicit price deflator
Imports of goods and services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ..
Benchmark-years weights ...
Price indexes:
Fixed 1987 weights
Chain-type annual weights ..
Benchmark-years weights ...
Implicit price deflator
113.6 125.3 116.4 119.5 124.4 125.5 131.8 133.5
106.3 118.9 109.2 113.0 117.4 119.5 125.7 127.4
103.3 113.3 105.7 108.4 112.4 113.4 119.0
104.1 114.4 106.7 109.4 113.5 114.5 120.1
111.4
109.9
109.1
106.9
113.3
111.0
110.2
105.4
100.7 104.3
112.0
110.1
109.4
106.6
112.4
110.4
109.6
105.7
113.1
110.9
110.1
106.0
113.6
111.2
110.5
105.1
114.0 114.5
111.4
110.6
104.8 "1048
99.9 100.6 103.7 104.5 108.4 104.4
87.9
87.9
87.9
88.5
88.5
88.5
86.4
86.4
86.4
86.5
86.5
86.5
88.2
88.3
88.3
88.3
88.3
88.4
114.6
114.6
114.6
114.6
117.8
117.9
117.8
117.9
115.6
115.6
115.6
115.7
116.3
116.3
116.3
116.3
117.4
117.4
117.4
117.5
118.4
118.4
118.3
118.5
90.8
90.9
90.9
86.9
119.3 120.1
119.3
119.3
119.4 120.1
120.3 136.3 125.1 129.3 135.3 136.6 144.0 148.8
116.0 134.9 121.2 126.9 132.7 135.9 144.0 148.6
111.8 127.0 116.4 120.4 125.8 127.2 134.5
112.8 128.3 117.6 121.7 127.1 128.6 136.0
109.7
107.6
106.7
103.8
110.9
107.7
106.9
101.1
110.1
107.5
106.7
103.2
110.4
107.6
106.8
102.0
110.9
107.8
107.0
101.9
111.2
107.9
107.1
100.5
111.2 111.6
107.7
106.9
100.0 100.1
99.3 112.1 107.4 108.7 107.4 111.6 120.6 123.9
87.5
87.5
87.5
95.1
95.1
95.2
93.5
93.5
93.5
93.8
93.8
93.9
91.6
91.6
91.6
113.4
113.5
113.4
113.4
117.7
117.8
117.7
117.8
114.8
114.9
114.8
114.9
115.8
115.9
115.8
115.8
117.2
117.3
117.2
117.3
94.2 100.9 103.1
94.1 100.9
94.2 101.0
118.5
118.6
118.5
118.5
119.5 120.1
119.5
119.4
119.5
176.0 181.8 179.9 178.9 181.3 179.5 187.5 183.8
158.8 164.4 162.5 161.6 163.0 162.6 170.4 166.2
155.9 160.0 159.0 157.9 159.2 157.8 164.9
156.8 161.0 160.0 158.9 160.2 158.8 166.0
113.7
112.9
112.3
110.8
115.4
113.9
113.4
110.6
114.3
113.2
112.6
110.7
114.7
113.4
112.9
110.8
115.5
114.1
113.5
111.3
115.7
114.1
113.5
110.4
115.9 116.9
114.2
113.6
110.1 Tiu"5
132.2 143.0 136.8 138.0 143.0 143.0 148.2 148.1
120.6 133.1 124.3 127.8 131.8 133.8 138.9 139.9
116.6 1267 119.5 122.3 125.8 127.0 131.6
117.7 128.1 120.9 1237 127.2 128.4 133.1
115.1
113.4
112.3
109.6
115.0
112.8
1117
107.5
115.9
114.1
113.0
110.0
114.5
112.5
111.5
108.0
115.6
113.4
112.4
108.5
114.8
112.5
111.5
106.9
115.1 114.6
112.6
111.5
1067 105.9
22 • April 1994
SURVEY OF CURRENT BUSINESS
Table 7.1.—Fixed-Weighted and Alternative Quantity and Price Indexes
for Gross Domestic Product—Continued
Table 7.2—Fixed-Weighted and Alternative Quantity and Price Indexes
for Gross Domestic Product, Final Sales, and Purchases
[Index numbers, 1987=100]
[Index numbers, 1987=100]
Seasonally adjusted
1992
1993
1992
1993
1994
III
it pun
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Implicit price deflator
Federal:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ,
Benchmark-years weights .,
Price indexes:
Fixed 1987 weights
Chain-type annual weights ,
Benchmark-years weights .
Implicit price deflator
National defense:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
Implicit price deflator
Nondefense:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
Implicit price deflator
State and local:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights .....
Benchmark-years weignts
Implicit price deflator
Seasonally adjusted
IV
128.4
131.4 129.8 129.3 131.4 132.1 132.6 132.1
107.2
107.0
106.9
106.5 107.4 105.6 106.8 106.8 106.8 105.1
106.4 107.2 105.6 106.6 106.6 106.6
106.2 107.1 105.4 106.5 106.5 106.5
120.6
120.0
120.2
119.7
124.3
123.5
123.7
123.3
116.6
115.2 117.5 115.0 116.3 115.2 114.3 112.8
96.9 92.2
96.6 92.2
96.3 92.0
121.8
120.7
121.0
120.3
126.2
124.8
125.3
124.9
121.7
121.0
121.3
120.8
123.2
122.4
122.6
122.4
124.0
123.2
123.5
123.1
124.8
123.9
124.2
123.7
97.1
96.8
96.5
92.9
92.9
92.7
93.4
93.4
93.2
91.9
91.9
91.6
122.8
121.5
122.0
121.1
125.1
123.6
124.1
123.8
125.8
124.3
124.8
124.5
126.8
125.4
125.9
125.4
125.1 126.2
124.4
124.6
124.1 125.6
90.7
90.8
90.5
87.8
127.0 128.4
125.9
126.4
126.1 128.4
107.4 103.9 108.1 104.4 105.3 103.4 102.5 100.3
89.4
88.6
88.7
83.0
82.5
82.7
89.5
88.5
88.6
122.3
121.2
121.2
120.1
127.2
125.8
125.9
125.1
123.5
122.2
122.2
120.8
145.4 150.8 147.:
84.2
83.8
83.9
84.4
84.0
84.1
82.2
81.6
81.8
125.9
124.4
124,
123.9
126.8
125.3
125.4
124.8
127.9
126.6
126.6
125.7
81.2
80.8
80.9
78.2
128.1 129.2
126.9
127.0
126.2 128.2
148.4 150.7 152.5 151.
152.1
120.4 121.1 121.1 120.1 121.7 122.4 120.4 118.0
122.1 123.0 122.9 121.8 123.5 124.4 122.5
120.7 121.6 121 120.4 122.0 122.9 121.
120.2 123.0 120.9
119.1 122.3 119.
120.5 123.8 121.2
120.8 124.5 121.6
122.5 122.5 123.4
121.6 121.8 122.;
123.0 123.3 124.0
123.6 123.9 124.6
123.6 125.8
123.3
124.8
125.9 128.8
137.5 143.9 139.2 140.4 143.2 145.2 146.8 147.1
115.2 117.6 115,
118.6
115.5 117.1 118.4 119.115.0 117.3 115.3 115.4 116.8 118.0 118.!
115.:
115.1 117.115.4 116.9 118.1 119.0
119.6
119.6
119.5
119.
122.8
122.7
122.6
122,
120.9
120.8
120.7
120.6
121.8
121.7
121.6
121.5
122.7
122.6
122.5
122.3
123.:
123.1
123.0
122.7
123.6 124.6
123.5
123.4
123.0 "124.O
NOTE.—The quantity and price indexes in this table are calculated from weighted averages of the detailed
output and prices used to prepare each aggregate and component. The fixed-weighted measures use as weights
the composition of output in 1987. For the alternative indexes, the chain-type indexes with annual weights use
weights for the preceding and current years, and the indexes with benchmark-years weights use weights of 1959,
1963, 1967, 1972, 1977, 1982, and 1987 and the most recent year. Percent changes from preceding period for
selected items in this table are shown in table 8.1.
1992
1993
1992
1994
1993
I
I
Gross domestic product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts ..
Implicit price deflator
Final sales of domestic product'
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weignts
Implicit price deflator
Gross domestic purchases2:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts ..
Implicit price deflator
Final sales to domestic purchasers3
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Implicit price deflator
133.0 140.5 136.4 137.9 139.4 140.9 143.8 145.6
109.8 113.1 111.6 111.9 112.4 113.2 115.1 115.8
109.5 112.5 111.3 111.4 111.9 112.5 114.2
109.4 112.3 111.1 111.2 111.7 112.3 114.0
122.1
121.5
121.7
121.1
125.9
125.0
125.2
124.2
123.5
122.6
122.9
122.2
124.8
123.8
124.1
123.3
125.6
124.7
124.9
124.0
126.3
125.3
125.6
124.5
127.0 127.9
126.0
126.3
124.9 1257
133.6 141.0 137.0 138.0 139.9 141.5 144.4 145.7
110.3 113.5 112.1 111.9 112.7 113.7 115.6 115.8
109.9 112.8 111.6 111.3 112.2 112.9 114.6
109.9 112.7 111.5 111.2 112.1 112.8 114.5
122.2
121.6
121.7
121.1
126.0
125.0
125.3
124.2
123.6
122.7
122.9
122.:
124.9
123.9
124.2
123.3
125.7
124.7
125.0
124.1
126.4
125.4
125.6
124.5
127.1 128.0
126.1
126.4
125.0 "125.8
129.6 137.6 133.1 134.7 136.5 138.1 140.8 142.9
107.:
111.3 109.1 109.7 110.6 111.6 113.4 114.5
106.7 110.2 108.4 108.9 109.6 110.4 112.0
106.7 110.3 108.5 108.9 109.7 110.5 112.1
122.0
121
121.5
120.9
125.6
124.9
124.9
123.6
123.4
122.8
122.8
122.1
124.4
123.8
123.8
122.8
125.
124.6
124.6
123.5
125.9
125.2
125.2
123.8
130.2 138.0 133.6 134.8 137.0 138.
126.6 127.3
125.9
125.9
124.2 "124.8
141.5 143.0
107.7 111.6 109.5 109.7 110.9 112.1 113.8 114.5
107.1 110.
108.7 108.8 109.9 110.8 112.4
107.2 110.6 108.9 108.9 110.0 111.0 112.5
122.1
121.6
121.5
120.9
125.'
124.9
124.9
123.6
123.4
122.8
122.8
122.0
124 125.4 126.0 126.
127.4
126.0
123.8 124.7 125.:
123.8 124.7 125.2 126.0
122.8 123.5 123.8 124.3 124.8
1. Equals GDP less change in business inventories.
2. Equals GDP less net exports of goods and services or equals the sum of personal consumption
expenditures, gross private domestic investment, and government purchases.
3. Equals gross domestic purchases less change in business inventories or equals the sum of personal
consumption expenditures, gross private domestic fixed investment, and government purchases.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
April 1994
SURVEY OF CURRENT BUSINESS
Table 7.3.—Fixed-Weighted and Alternative Quantity and Price Indexes
for Gross National Product and Command-Basis Gross National
Product
•
23
Table 7.6.—Price Indexes for Fixed Investment by Type, Fixed
1987 Weights
[Index numbers, 1987=100]
[Index numbers, 1987=100]
Seasonally adjusted
Seasonally adjusted
1992
1993
1992
IV
1992
I
II
III
IV
133.0 140.3 136.3 137.8 139.2 140.9 143.5
Less: Exports of goods and services
and receipts of factor income:
Current dollars
Quantity index, fixed 1987 weights ...
Plus: Command-basis exports of
goods and services and receipts
of factor income:
Current dollars
Quantity index, fixed 1987 weights ...
Equals: Command-basis gross
national product:
Current dollars
Quantity index, fixed 1987 weights ...
123.4
122.5
122.8
122.2
124.7
123.8
124.0
123.3
125.6
124.6
124.9
124.0
126.2
125.2
125.5
124.4
164.1 169.2 165.7 165.0 168.8 168.1 174.8
145.7 149.9 147.2 146.3 148.9 149.0 155.3
176.0 181.8 179.9 178.9 181.3 179.5 187.5
147.0 153.4 147.6 149.3 151.9 153.1 159.2
Nondurable goods
Food
Clothing and shoes
Gasoline and oil
Fuel oil and coal
Other
Services
Housing
Household operation
Electricity and gas
Other household operation
Transportation
Medical care
Other
Addenda:
Price indexes for personal
consumption expenditures:
Chain-type annual weights
Benchmark-years weights
124.9 128.7 126.5 127.5 128.4 128.9 129.8 130.4
112.2 115.8 113.3 113.9 115.3 116.6 117.5 117.9
104.0 104.3 104.2 103.9 104.2 104.3 105.0 105.3
124.2 126.8 124.3 126.1 127.2 126.8 127.1 128.3
123.0 124.9 123.8 124.9 125.0 124.5 125.1 125.2
122.7
118.2
124.7
117.3
130.3
123.5
119.8
126.3
116.2
131.4
124.2
119.0
123.1
117.4
132.2
124.3
118.9
118.8
116.5
131.5
125.3
118.8
120.4
114.3
131.4
127.8
115.6
114.6
116.4
135.5
148.5
137.2
125.4
113.9
112.7
114.9
131.9
144.0
134.4
126.5
113.5
112.2
114.6
134.4
145.9
135.4
127.6
115.3
114.2
116.2
134.9
147.9
136.6
128.1
116.4
115.8
116.9
136.0
149.3
137.6
129.0
117.1
116.0
118.0
136.7
150.7
139.1
124.4 128.0 125.8 126.8 127.7 128.2 129.1
124.5 128.1 125.9 127.0 127.9 128.3 129.2
NOTE—Percent changes from preceding period for selected items in this table are shown in table 8.1.
125.7
118.6
119.8
115.9
131.4
129.5 134.7 131.6 132.8 134.2 135.2 136.3 137.4
124.1
112.5
111.0
113.8
128.3
140.9
132.2
123.5 123.3 123.1 122.9 123.6 123.3 123.3 125.1
110.7 113.6 112.6 112.3 113.7 113.6 114.7 115.1
93.1
92.3
92.8
92.7
92.3
92.1
91.9
91.8
59.6 53.0 57.0 55.7 53.6 52.2 50.5 49.5
107.9 109.6 108.5 109.0 109.5 109.7 110.2 110.5
120.2 122.5 120.9 121.1 122.3 123.2 123.4 123.2
116.8 119.2 117.3 118.4 119.1 119.6 119.6 121.4
117.1 119.1 118.0 118.2 119.1 119.4 119.6 119.8
113.4 117.7 114.8 115.8 117.2 118.5 119.5 120.1
113.6 118.1 115.0 116.1 117.5 118.8 119.8 120.5
104.9 105.5 104.9 104.5 105.4 105.9 106.3 106.8
113.4 118.3 115.2 116.2 117.3 119.2 120.4 120.7
111.3 115.6 112.5 113.5 114.6 116.4 117.6 117.8
114.7 118.6 115.7 116.7 118.7 119.1 119.7 121.0
Addenda:
Price indexes for fixed investment:
Chain-type annual weights
Benchmark-years weights
111.0 112.9 111.5 112.0 112.7 113.3 113.7
110.3 112.3 110.9 111.4 112.1 112.7 113.1
1. Includes new computers and peripheral equipment only.
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
111.5 113.8 112.1 112.6 113.5 114.1 114.9 115.4
124.3
119.1
122.2
116.1
131.6
109.7 110.9 110.1 110.4 110.9 111.2 111.2 111.6
113.7 117.2 114.8 115.6 116.5 117.8 118.8 119.4
115.6 119.3 116.4 117.3 119.4 119.8 120.8 122.2
Producers' durable equipment ...
133.0 140.3 136.3 137.8 139.2 140.9 143.5
110.0 113.4 111.6 112.1 112.6 113.7 115.3
122.0
117.9
123.3
116.5
128.8
114.6 117.8 115.6 116.3 117.4 118.4 119.3 120.1
Structures
Single family
Multifamily
Other structures
[Index numbers, 1987=100]
Motor vehicles and parts
Furniture and household equipment ,
Other
I
112.0 114.7 112.8 113.5 114.4 115.2 115.7 116.2
Residential
Table 7.4.—Price Indexes for Personal Consumption Expenditures
by Major Type of Product, Fixed 1987 Weights
Durable goods .
IV
Producers' durable equipment
Information processing and related
equipment
Computers and peripheral
equipmentl
Other
Industrial equipment
Transportation and related
equipment
Other
126.9
126.0
126.3
124.8
NOTE.—Percent changes from preceding period for selected items in this table are shown in table 8.1.
Personal consumption
expenditures
III
Structures
Nonresidential buildings, including
farm
Utilities
Mining exploration, shafts, and
wens
Other structures
109.9 113.1 111.5 111.8 112.3 113.2 114.9
109.6 112.4 111.2 111.3 111.8 112.5 114.0
109.5 112.3 111.0 111.2 111.7 112.4 113.9
125.9
124.9
125.2
124.1
I
111.4 113.3 112.0 112.4 113.1 113.6 114.0 114.5
Nonresidential
122.1
121.4
121.6
121.1
1994
1993
I
IV
Fixed investment
Gross national product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Implicit price deflator
1993 1992
1994
1993
130.3
117.4
115.5
119.2
138.2
152.0
140.0
Table 7.9.—Price Indexes for Exports and Imports of Goods
and Services and for Receipts and Payments of Factor Income,
Fixed 1987 Weights
[Index numbers, 1987=100]
Exports of goods and services
113.7 115.4 114.3 114.7 115.5 115.7 115.9 116.9
110.5
110.8
110.0
128.2
110.7
110.8
110.4
128.5
Receipts of factor income2
122.5 125.7 123.7 124.9 125.6 126.1
126.5
Imports of goods and services
115.1 115.0 115.9 114.5 115.6 114.8 115.1
Merchandise'
Durable
Nondurable
Services1
Merchandise1
Durable
Nondurable
Servicesl
Payments of factor income3
Addenda:
Price indexes for exports of goods
and services:
Chain-type annual weights
Benchmark-years weights
Price indexes for imports of goods
and services:
Chain-type annual weights
Benchmark-years weignts
109.6
109.3
110.2
123.7
112.1
112.8
110.7
128.9
110.4
110.7
109.8
127.6
112.0
114.3
108.0
128.4
109.7
109.8
109.5
125.5
113.1
113.5
112.4
128.3
110.0
110.3
109.4
126.2
111.6
113.3
108.6
127.5
110.5
111.1
109.3
127.7
112.7
114.1
110.3
128.2
111.8
114.3
107.3
128.3
111.9
115.4
105.7
129.6
111.8
111.4
112.7
129.2
114.6
111.4
115.9
103.5
129.2
125.0 129.1 126.6 127.9 128.9 129.6 130.1
112.9 113.9 113.2 113.4 114.1 114.1 114.2
112.3 113.4 112.6 112.9 113.5 113.5 113.6
113.4 112.8 114.1 112.5 113.4 112.5 112.6
112.3 111.7 113.0 111.5 112.4 111.5 111.5
1. Exports and imports of certain goods, primarily military equipment purchased and sold by the Federal
Government, are included in services.
2. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
3. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
NOTE.— Percent changes from preceding period for selected items in this table are shown in table 8.1.
24 • April 1994
SURVEY OF CURRENT BUSINESS
Table 7.10.—Price Indexes for Exports and Imports of Merchandise
by End-Use Category, Fixed 1987 Weights
Table 7.11.—Price Indexes for Government Purchases by Type,
Fixed 1987 Weights
[Index numbers, 1987=100]
[Index numbers, 1987=100]
Seasonally adjusted
1992
1993 1992
1994
1993
III
Exports of merchandise
Foods, feeds, and beverages
Industrial supplies and materials
Durable goods
Nondurable goods
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
Imports of merchandise
Seasonally adjusted
109.6 110.4 109.7 110.0 110.5 110.5 110.7 111.8
114.5
108.3
116.5
104.6
105.8
122.1
58.9
116.5
112.3
118.0
114.5
120.9
113.0
113.0
113.0
116.1
109.2
125.2
101.9
105.9
125.6
52.1
117.9
113.2
119.8
115.0
124.0
113.9
113.9
113.9
111.7
108.8
118.7
104.4
105.8
123.5
56.3
117.0
113.0
118.8
115.0
122.1
113.4
113.4
113.4
113.1
109.1
122.3
103.1
105.8
124.6
54.9
117.1
113.3
119.6
115.4
123.3
113.4
113.4
113.4
113.1
110.4
127.5
102.6
106.0
125.4
52.7
117.9
113.3
119.7
114.9
123.9
114.1
114.1
114.1
118.2
109.1
126.2
101.3
105.7
125.1
51.2
118.1
113.1
119.7
114.8
124.1
113.8
113.8
113.8
120.1
108.3
124.9
100.8
106.0
126.8
49.7
118.6
113.3
120.1
114.8
124.8
114.1
114.1
114.1
124.8
110.5
128.0
102.5
106.0
127.2
48.9
118.6
113.8
120.4
115.2
124.9
115.3
115.3
115.3
112.1 112.0 113.1 111.6 112.7 111.8 111.9 111.4
108.1 107.9 107.2 105.7 106.6 108.8 110.7 110.9
Foods, feeds, and beverages
Industrial supplies and materials, except
petroleum and products
Durable goods
Nondurable goods
Petroleum and products
Capital goods, except automotive
Civilian aircraft, engines, and parts ...
Computers, peripherals, and parts ....
Other
Automotive vehicles, engines, and parts
Consumer goods, except automotive
Durable goods
Nondurable goods
Other
Durable goods
Nondurable goods
114.2
115.3
113.1
100.8
107.3
122.2
61.4
116.5
114.8
118.3
116.9
120.1
114.7
114.7
114.7
Addenda:
Exports of agricultural productsl
Exports of nonagricultural products ...
Imports of nonpetroleum products
111.5 113.3 109.8 111.1 110.5 115.0 116.6 121.8
109.4 110.0 109.7 109.8 110.5 109.9 109.9 110.5
113.4 114.3 114.2 113.4 114.3 114.4 115.3 115.6
114.3
117.0
111.5
91.4
108.0
125.6
55.6
118.4
116.9
119.4
118.4
120.7
116.0
115.9
115.9
114.4
114.7
114.0
104.0
108.0
123.5
59.0
117.8
115.9
119.8
117.9
122.3
115.8
115.8
115.8
114.8
117.6
111.9
95.5
106.9
124.6
57.8
116.5
115.1
118.8
117.9
119.8
114.8
114.8
114.8
115.0
117.4
112.4
99.1
107.7
125.4
56.3
117.8
116.5
119.7
118.7
120.9
115.8
115.8
115.8
113.4
115.5
111.1
88.5
108.6
125.2
55.0
119.3
117.0
119.5
118.4
120.8
116.0
116.0
116.0
114.0
117.3
110.4
81.6
109.0
126.9
53.4
120.1
118.9
119.7
118.6
121.1
117.3
117.3
117.3
115.4
120.0
110.6
74.1
108.8
127.2
52.4
120.1
119.5
119.5
118.5
120.7
117.4
117.4
117.4
1. Includes parts of: exports of foods, feeds, and beverages, of nondurable industrial supplies and materials,
and of nondurable consumer goods, except automotive.
1992
1993
1993
1992
1994
IV
Government purchases
120.6 124.3 121.7 123.2 124.0 124.8 125.1 126.2
121.8 126.2 122.8 125.1 125.8 126.8 127.0 128.4
Federal
National defense
Durable goods
Nondurable goods
Services
Compensation of employees
Military
Civilian
Other services
Structures
Nondefense
Durable goods
Nondurable goods
Commodity Credit Corporation
inventory change
Other nondurables
Services
Compensation of employees
Other services
Structures
State and local
Durable goods
Nondurable goods
Services
Compensation of employees
Other services
Structures
Addenda:
Price indexes for government
purchases:
Chain-type annual weights
Benchmark-years weights
Price indexes for Federal national
defense purchases:
Chain-type annual weights
Benchmark-years weights
Price indexes for Federal nondefense
Chain-type annual weights
Benchmark-years weights
Price indexes for State and local
purchases:
Chain-type annual weights
Benchmark-years weights
122.3
113.7
115.6
127.1
134.6
136.6
130.6
116.4
114.0
127.2 123.5 125.9 126.8 127.9 128.1 129.2
117.6
113.1
132.9
143.1
143.8
141.7
118.5
117.7
115.3
117.8
128.0
135.1
136.6
132.0
117.8
116.2
117.1
113.0
131.2
140.6
142.3
137.1
117.8
117.2
117.9
115.9
132.1
141.7
143.3
138.3
118.5
117.4
117.9
112.6
134.0
144.7
143.9
146.5
118.8
117.3
117.6
110.8
134.4
145.4
145.7
144.9
118.8
118.8
117.8
106.1
136.5
148.6
148.6
148.5
119.3
119.7
120.2 123.0 120.9 122.5 122.5 123.4 123.6 125.8
101.2 93.1 96.9 94.0 94.0 94.1 90.3 92.1
107.9
124.5
129.3
117.9
113.7
105.9
129.0
136.4
118.7
116.5
106.0
125.5
130.6
118.4
114.8
106.0
128.0
135.2
118.1
115.1
106.3
128.3
135.7
118.1
116.2
119.6
113.2
115.4
122.6
127.5
69.3
109.5
122.8
115.3
116.0
126.1
132.1
60.5
113.1
120.9
113.6
114.9
124.0
129.2
67.0
111.6
121.8
114.5
116.2
125.0
130.6
63.9
111.5
122.7 123.2 123.6 124.6
115.4
117.9
125.7
131.6
60.3
113.0
106.0
129.3
136.4
119.3
116.8
115.8
115.6
126.6
132.7
60.1
113.3
105.2
130.4
138.2
119.5
117.7
115.6
114.2
127.2
133.5
57.8
114.4
120.0 123.5 121.0 122.4 123.2 123.9 124.4
120.2 123.7 121.3 122.6 123.5 124.2 124.6
121.2 125.8 122.2 124.4 125.3 126.6 126.9
121.2 125.9 122.2 124.5 125.4 126.6 127.0
119.1 122.3 119.7 121.6 121.8 122.5 123.3
120.5 123.8 121.2 123.0 123.3 124.0 124.8
119.6 122.7 120.8 121.7 122.6 123.1 123.5
123.0 123.4
119.5 122.6 120.7 121.6 122.
106.7
133.3
143.0
119.8
118.3
116.6
115.5
128.1
134.6
57.7
114.8
April 1994
SURVEY OF CURRENT BUSINESS
•
Table 7.12.—Price Indexes for National Defense Purchases, Fixed
1987 Weights
Table 7.14.—Implicit Price Deflators for Gross Domestic Product
by Sector
[Index numbers, 1987=100]
25
[Index numbers, 1987=100]
Seasonally adjusted
Seasonally adjusted
1992
National defense purchases .
1993
1992
1994
1993
122.3 127.2 123.5 125.9 126.8 127.9 128.1 129.2
113.7 117.6 115.3 117.1 117.9 117.9 117.6 117.8
Durable goods ...
Military equipment
Aircraft
Missiles
Ships
Vehicles
Electronic equipment..
Other
Other durable goods
114.4
118.4
98.6
118.4
120.9
109.2
116.6
106.5
Nondurable goods
118.8
125.7
98.3
121.7
128.0
109.8
118.2
106.1
116.2
121.8
97.4
119.2
124.1
109.6
117.9
106.3
118.2
124.8
99.1
120.7
126.0
109.7
118.2
106.3
119.1
125.3
99.9
121.4
130.8
109.6
118.2
106.2
119.0
127.0
96.8
122.7
126.9
109.6
117.9
105.8
118.8
125.8
97.5
122.1
128.3
110.0
118.3
106.0
118.9
127.5
91.0
123.3
131.0
110.3
118.8
106.3
115.6 113.1 117.8 113.0 115.9 112.6 110.8 106.1
Gross domestic product
Business
Nonfarm
Nonfarm less housing
Housing
Farm
Statistical discrepancy
Households and institutions
Private households
Nonprofit institutions
1993
1992
1994
1993
121.1 124.2 122.2 123.3 124.0 124.5 124.9 125.7
119.8 122.6 120.9 121.8 122.5 122.9 123.2 123.9
120.1
119.5
125.5
106.1
119.8
122.8
122.4
127.3
110.7
122.6
121.2
120.8
124.5
104.9
120.9
122.1
121.6
126.9
107.1
121.8
122.8
122.3
126.8
109.3
122.5
123.1
122.7
127.4
108.3
122.9
123.3
122.8
128.1
117.8
123.2
123.9
123.1
131.9
123.0
123.9
127.7 131.9 129.8 131.3 131.3 131.9 133.2 134.7
115.7 119.4 117.4 117.9 118.7 120.0 121.1 121.7
128.2 132.5 130.4 131.9 131.9 132.4 133.8 135.3
119.7 112.5 124.2 111.1 119.7 110.8 108.3 94.0
108.5 111.4 111.5 111.3 111.1 112.6 110.5 111.0
117.9 115.3 116.8 116.7 116.2 114.3 113.8 114.7
Services
General government
129.0 134.4 130.3 132.8 133.8 135.1 136.0 137.8
Federal
State and local
132.8 140.6 133.5 138.6 139.5 141.8 142.8 146.5
127.4 131.9 129.0 130.4 131.4 132.5 133.3 134.4
127.1 132.9 128.0 131.2 132.1 134.0 134.4 136.5
Petroleum products
Ammunition
Other nondurable goods
Addendum:
Gross domestic business product
less housing
134.6
136.6
130.6
116.4
Structures
143.1
143.8
141.7
118.5
135.1
136.6
132.0
117.8
140.6
142.3
137.1
117.8
141.7
143.3
138.3
118.5
144.7
143.9
146.5
118.8
145.4
145.7
144.9
118.8
148.6
148.6
148.5
119.3
111.9
113.5
120.5
134.7
104.6
110.6
Compensation of employees .
Military
Civilian
Other services
Contractual research and
development
Installation support1
Weapons support2
Personnel support3
Transportation of material .
Travel of persons
Other
113.1
115.7
124.4
136.0
105.2
116.4
113.5
114.5
122.1
136.8
104.5
111.3
113.8
113.8
123.1
134.9
104.9
115.6
113.6
115.4
124.0
136.4
104.8
115.6
113.2
116.8
124.4
136.0
105.8
116.2
111.7
116.9
126.1
136.9
105.3
118.2
112.5
117.0
127.7
136.7
105.3
119.2
114.0 117.7 116.2 117.2 117.4 117.3 118.8 119.7
Military facilities
Other
106.1 108.3 107.5 108.1 108.0 107.7 109.4 110.7
128.6 135.0 132.2 133.9 134.8 135.0 136.0 136.2
Addenda:
Price indexes for national defense
purchases:
Chain-type annual weights
Benchmark-years weights
121.2 125.8 122.2 124.4 125.3 126.6 126.9
121.2 125.9 122.2 124.5 125.4 126.6 127.0
1. Includes utilities, communications, rental payments, maintenance and repair, and payments to contractors to
operate installations.
2. Includes depot maintenance and contractual services for weapons systems, other than research and
development.
3. Includes compensation of foreign personnel, consulting, training, and education.
Table 7.13.—Implicit Price Deflators for the Relation of Gross
Domestic Product, Gross National Product, Net National Product,
and National Income
[Index numbers, 1987=100]
Gross domestic product
Plus: Receipts of factor income from
the rest of the world l
Less: Payments of factor income to the
rest of the world 2
Equals: Gross national product
121.1 124.2 122.2 123.3 124.0 124.5 124.9 125.7
122.5 125.8 123.7 124.9 125.6 126.1 126.5
124.8 128.7 126.3 127.7 1284 1292 129.4
121.1 124.1 122.2 123.3 124.0 124.4 124.8
Less: Consumption of fixed capital
110.6 112.2 111.0 111.5 111.9 112.5 112.7 113.2
Equals: Net national product
122.5 125.7 123.6 124.8 125.5 126.0 126.4
Less: Indirect business tax and nontax
liability plus business transfer
payments less subsidies plus current
surplus of government enterprises ....
Statistical discrepancy
131.3 132.1 131.0 127.7 132.1 135.1 133.3 133.4
119.8 122.6 120.9 121.8 122.5 122.9 123.2
Equals: National income
121.6 125.1 122.9 124.5 124.9 125.1 125.7
Addenda:
Net domestic product
Domestic income
122.5 125.8 123.7 124.9 125.6 126.1 126.5 127.4
121.7 125.1 123.0 124.6 125.0 125.2 125.8
1. Consists largely of receipts by U.S. residents of interest and dividends and reinvested earnings of foreign
affiliates of U.S. corporations.
2. Consists largely of payments to foreign residents of interest and dividends and reinvested earnings of U.S.
affiliates of foreign corporations.
1992
119.3
Table 7.15.—Current-Dollar Cost and Profit Per Unit of ConstantDollar Gross Domestic Product of Nonfinancial Corporate Business
[Dollars]
Current-dollar cost and profit
per unit of constant-dollar
gross domestic product' ...
Consumption of fixed capital
Net domestic product
Indirect business tax and nontax
liability plus business transfer
payments less subsidies
Domestic income
Compensation of employees
Corporate profits with inventory
valuation and capital
consumption adjustments
Profits tax liability
Profits after tax with inventory
valuation and capital
consumption adjustments
Net interest
1.149 1.164 1.154 1.162 1.164 1.164 1.165
.125
.123
.122
.124
.123
.124
.122
1.024 1.040 1.032 1.037 1.041 1.039 1.044
.116
.908
.762
.118
.923
.768
.099
.035
.109
.040
.064
.048
.046
.116
.116
.916
.761
.921
.772
.118
.923
.770
.118
.922
.769
.118
.925
.762
.109
.102
.037
.108
.040
.108
.118
.037
.038
.044
.072
.046
.065
.047
.068
.046
.070
.045
.075
.044
1. Equals the deflator for gross domestic product of nonfinancial corporate business with the decimal point
shifted two places to the left.
26
• April 1994
SURVEY OF CURRENT BUSINESS
Table 8.1.—Percent Change From Preceding Period in Selected Series
[Percent]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
1993
1993
1992
1992
1994
1993
1992
1994
1993
I
Gross domestic product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Personal consumption expenditures:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Durable goods:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Nondurable goods:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Gross private domestic investment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Fixed investment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Nonresidential:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ..
Benchmark-years weights ....
Price indexes:
Fixed 1987 weights
Chain-type annual weights ..
Benchmark-years weights ....
5.5
5.6
9.2
4.4
4.3
4.4
8.4
5.2
2.6
2.3
2.4
3.0
2.7
2.7
5.7
5.5
5.5
.8
.4
.4
1.9
1.8
1.8
2.9
2.2
2.2
7.0
6.2
6.2
2.6
3.3
3.1
3.2
3.1
2.9
2.9
3.1
2.8
2.9
4.3
4.1
4.1
2.8
2.7
2.7
2.1
2.1
2.1
2.3
2.4
2.4
2.9
6.0
6.1
9.9
3.8
6.1
5.5
6.8
5.2
2.6
2.3
2.5
3.3
3.0
3.1
5.6
5.1
5.2
3.4
3.2
3.2
4.4
4.0
4.0
4.4
3.9
3.9
3.8
3.7
3.6
3.6
3.0
2.9
2.9
3.1
2.9
3.0
3.4
3.3
3.3
2.9
2.9
2.9
1.4
1.5
1.5
2.8
2.8
2.8
2.1
8.6
8.2
13.1
-1.0
13.3
8.0
16.3
10.8
7.0
6.7
6.8
7.3
6.5
6.6
13.2
12.1
12.2
-1.3
-2.2
-2.2
10.8
10.4
10.4
7.6
6.4
6.4
15.2
14.1
14.1
9.7
2.2
1.8
2.0
2.0
1.7
1.7
1.1
1.0
1.1
1.8
1.4
1.4
3.3
2.8
2.8
2.0
1.8
1.8
2.6
2.4
2.4
1.9
3.4
3.8
8.2
1.1
2.9
2.3
1.4
1.4
1.4
2.4
2.
2.
7.3
7^0
7.0
-2.1
-2.2
-2.2
2.7
2.5
2.5
3.7
3.5
3.5
2.7
2.5
2.5
2.1
2.0
1.6
2.1
1.5
-1.3
1.9
6.9
6.9
10.1
6.4
2.2
2.0
2.1
2.9
2.7
2.8
2.9
2.6
2.8
3.1
2.8
2.8
5.0
4.8
4.9
4.0
3.9
4.0
4.6
4.4
4.5
3.7
3.7
3.7
8.1
12.0
16.4
8.5
7.4
7.9
11.9
10.:
10.3
13.3
13.8
13.8
3.5
3.4
3.4
6.0
5.4
2.1
2.0
2.0
3.9
3.8
3.8
2.6
2.5
2.5
3.1
4.3
4.2
4.2
2.9
2.9
2.9
3.4
3.4
3.4
3.2
21.1
4.6
24.9
20.0
22.7
19.3
19.3
5.0
2.0
2.0
25.8
25.1
25.1
17.4
-1.2
-1
5.8
11.0
15.3
11.0
9.4
14.0
14.1
14.
10.7
1.8
1.8
1.7
1.1
1
2.2
I.'
1.7
3.3
2.7
2.7
1.0
7.3
2.
2.1
2.1
25.6
7.2
6.4
1.9
1.4
1.4
1.9
10.9
10.3
11.8
9.6
9.8
10.6
24.8
24.1
24.1
9.0
9.5
2.9
1
2.0
2.4
6.8
6.2
5.1
5.6
1.1
.8
2.5
7.6
7.4
7.6
17.4
3.8
21.<
5.4
14.4
10.3
10.3
16.6
16.0
16.0
7.4
3.4
3.4
22.5
21.:
21.:
5.5
1.6
1.0
1.0
2.5
1^8
1.8
1.9
1.2
1
1.2
,6
,6
1.8
Structures:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
3.1
3.5
-2.1
-1.9
-1.9
-6.0
-6.0
-6.0
12.6
3.4
15.8 -14.0
12.2 -16.1
11.9
11.9
8.1
8.4
8.4
3.4
3.3
3.3
3.2
3.3
3.3
2.5
5.3
13.3
10.3
14.3
19.7
3.9
23.8
13.9
6.9
4.7
5.7
16.3
13.5
13.8
11.5
11.6
11.9
19.9
14.5
14.5
19.8
19.1
19.1
10.0
4.7
4.7
26.0
25.0
25.0
13.5
1.3
.5
1.1
.1
.2
-.2
-1.1
1.2
.3
.3
1.8
.8
.8
1.0
.3
.3
.1
-.5
1.3
17.9
12.9
37.5
5.2
-4.8
16.5
36.4
11.5
16.3
16.3
16.3
8.7
8.7
8.7
32.8
32.9
32.8
1.5
1.6
1.6
-9.5
-9.4
-9.4
11.9
11.8
11.8
31.7
31.9
31.9
9.1
1.3
1.4
1.4
3.8
3.8
3.8
3.7
3.6
3.6
3.5
3.4
3.4
4.6
4.3
4.3
3.2
3.1
3.1
2.2
3.3
8.8
-2.1
5.5
-4.1
19.1
-7.7
3.5
2.6
2.7
8.8
8.1
8.2
-2.4
-2.7
-2.7
3.6
3.3
3.3
-.9
-3.4
-3.4
20.4
19.3
19.3
-9.3
15
'.9
1.0
1.4
.8
.9
1.5
.8
.8
2.8
2.4
2.4
.7
.3
.3
3.7
8.2
8.2
3.6
15.3
15.4
-.2
8.7
7.2
7.9
10.3
8.7
8.9
5.6
5.0
5.2
11.6
9.8
9.8
13.3
11.8
11.8
6.0
3.8
3.8
16.4
15.;
15.3
2.8
1.2
.6
.8
-.1
-1.3
-1.0
-1.0
-A.I
-5.3
-5.3
3.8
3.2
3.2
-2.7
-3.1
-3.1
1.1
-1.6
3.0
2.3
1.7
-1.4
6.8
2.2
-.1
—.2
.,
3.8
3.9
3.9
7.9
Imports of goods and services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
2.5
2.4
2.4
1.2
.8
1.0
Exports of goods and services:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
2.7
2.8
2.8
6.4
5.6
6.0
Residential:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights ....
Benchmark-years weights
2.8
2.8
2.8
6.5
Producers' durable
equipment:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights .
Government purchases:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
-5.5
—.7
-.6
-.6
-1.4
-.8
-.8
-6.4
-5.9
-5.9
4.
4.0
4.0
0
0
3.1
2.9
2.6
3.0
2.5
5.0
4.6
4.6
2.6
2.7
2.7
2.5
2.4
2.4
-1.
-8.3
4.4
-3.4
-5.3
-4.9
-4.6
-3.5 -16.2
-2.1 -15.0
-2.1 -15.0
2.0
2.2
2.2
-6.2
-5.2 -12.0
-4.
2.3
3.3
3.
n
—.c
3.4
3.1
3.2
5.0
5.1
5.1
-1.6
-6.2
3.7
1.5
Federal:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
National defense:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights ...
Benchmark-years weights
-3.5
-3.4
4.5
4.
4.4
3.6
3.4
2.1
1.8
2.0
7.5
7.
7.2
4.6
2.3
-2.
-3.3
-1.3
-13.1
-7.2
-7.1
-7.1
-7.1
-7.2
-6.8
-6.7
-4.6 -21.4
-3.0 -19.6
-2.9 -19.6
-9.8
-10.6
-10.6
-4.9 -13.9
-4.1
4.9
4.
4.8
4.0
3.8
3.9
3.
4.0
4.0
3.7
2.1
1.8
1.9
7.6
7.6
3,0
2.9
2.9
-3.5
-8.3
April 1994
SURVEY OF CURRENT BUSINESS
•
2J
Table 8.1.—Percent Change From Preceding Period in Selected
Series—Continued
Table 8.2.—Selected Per Capita Product and Income Series in
Current and Constant Dollars and Population of the United States
[Percent]
[Dollars]
Seasonally adjusted at annual rates
Seasonally adjusted at annual rates
1992
1993 1992
1994
1993
1992
1993
I
Nondefense:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
Price indexes:
Fixed 1987 weights
Chain-type annual weights .
Benchmark-years weights ..
State and local:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights .....
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Addenda:
Final sales of domestic product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Gross domestic purchases:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Final sales to domestic purchasers:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
IV
1994
1993
I
II
III
IV
I
Current dollars:
9.4
3.8
3.6
6.2
4.9
-2.8
1.4
-.4
-.1
-.1
6.2
6.2
6.2
1.8
-3.2
-3.5
-3.5
5.5
5.5
5.5
2.5
2.9
2.9
-6.5
-5.9
-5.9
-7.6
2.9
2.3
2.3
.6
2.6
2.6
7.3
2.4
2.7
2.7
1.9
1.9
1.9
5.7
6.3
6.3
4.5
4.6
3.1
3.3
8.3
5.8
4.5
2.2
2.1
2.1
2.1
2.0
2.0
5.6
5.2
5.2
4.5
4.2
4.2
3.3
3.1
3.1
-2.6
.1
.1
.3
.4
.4
2.5
2.4
2.4
2.6
2.6
2.6
2.9
2.9
2.9
3.0
2.9
2.9
2.9
3.0
3.0
1.8
1.6
1.6
1.5
1.4
1.4
3.0
5.2
5.5
9.1
5.7
4.8
8.5
3.5
2.3
2.0
2.1
2.8
2.6
2.5
5.8
5.6
5.5
3.2
3.0
3.0
3.4
2.7
2.7
6.8
6.1
6.1
.9
-1.1
-1.1
3.3
3.1
3.2
3.1
2.9
3.0
3.2
2.7
2.8
4.3
4.1
4.1
2.8
2.7
2.7
2.1
2.1
2.1
2.3
2.4
2.4
2.9
5.7
6.2
9.1
5.0
5.4
4.8
8.1
6.0
2.9
2.5
2.7
3.8
3.3
3.3
5.4
5.1
5.1
2.5
1.7
1.7
3.1
2.7
2.7
3.7
3.0
3.0
6.7
6.0
6.0
4.1
3.3
3.1
3.2
2.9
2.8
2.8
2.8
2.7
2.7
3.5
3.4
3.4
2.9
2.8
2.8
1.8
1.7
1.7
2.3
2.4
2.4
2.3
5.4
6.0
9.0
3.5
6.8
5.2
8.2
4.2
2.5
2.2
2.4
3.7
3.2
3.2
5.5
5.2
5.2
.3
.3
4.4
4.0
4.0
4.2
3.5
3.5
5.8
5.8
3.3
3.1
3.2
2.9
2.8
2.8
2.8
2.7
2.7
3.5
3.3
3.3
2.9
2.8
2.8
1.8
1.7
1.7
2.3
2.4
2.4
5.4
5.5
8.5
4.6
4.2
4.8
5.0
4.9
4.8
1.0
1.9
1.7
1.7
3.3
2.7
2.7
3.1
2.9
2.9
3.1
2.7
2.8
4.3
4.1
4.1
2.8
2.7
2.7
Command-basis gross national
product:
Quantity index, fixed 1987 weights
2.5
3.1
4.7
1.9
1.9
3.7
6.4
2.9
4.6
1.9
15.1
10.6
-5.1
-7.8
8.5
5.8
2.7
1.6
7.8
5.4
2.4
2.3
2.4
2.4
4.1
2.7
NOTE.—Except for disposable personal income, the quantity and price indexes in this table are calculated from
weighted averages of the detailed output and prices used to prepare each aggregate and component. The fixedweighted measures use as weights the composition of output in 1987. For the alternative indexes, the chain-type
indexes with annual weights use weights for the preceding and current years, and the indexes with benchmarkyears weights use weights of 1959, 1963, 1967, 1972, 1977, 1982, and 1987 and the most recent year.
24,346
24,538
24,732
25,166
25,428
24,134
20,767
24,347
20,430
24,536
20,837
24,756
20,930
25,145
21,257
21,458
17,615
18,225
18,153
17,876
18,196
18,265
18,561
18,705
16,205
1,947
17,006
2,083
16,589
2,013
16,704
2,004
16,907
2,062
17,088
2,095
17,321
2,170
17,501
2,221
5,092
9,166
5,227
9,695
5,190
9,385
5,192
9,508
5,215
9,631
5,229
9,763
5,273
9,878
5,294
9,986
19,518
19,888
19,754
19,744
19,786
19,869
20,150
20,231
19,548
19,897
19,755
19,754
19,793
19,898
20,143
14,219
14,330
14,490
14,163
14,326
14,341
14,491
14,554
13,081
1,787
13,372
1,897
13,241
1,845
13,234
1,835
13,312
1,878
13,416
1,907
13,523
1,970
13,617
2,012
4,161
7,133
4,213
7,261
4,216
7,179
4,184
7,216
4,200
7,234
4,226
7,283
4,242
7,310
4,257
7,348
Mnnrii irahla
Constant (1987)
dollars:
product
Disposable
nprctnnal
expenditures ...
Durable goods
Mnnrlurahlo
6.1
Disposable personal income:
Current dollars
,
1987 dollars
24,143
24,697
20,864
income
Personal
6.2
5.4
5.4
3.3
3.1
3.2
24,696
23,665
20,139
Gross domestic
product
7.6
2.9
2.6
2.6
23,637
product
Personal income .
Disposable
personal
income
Personal
goods
Services
2.4
2.5
2.2
2.3
Gross domestic
product
expenditures ...
Durable goods
3.1
3.1
3.1
Gross national product:
Current dollars
Quantity indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weignts
Price indexes:
Fixed 1987 weights
Chain-type annual weights
Benchmark-years weights
1992
goods
Services
Population (midperiod,
thousands)
255,472 258,254 256,569 257,197 257,872 258,612 259,334 259,949
28 • April 1994
SURVEY OF CURRENT BUSINESS
Table 8.3.-Auto Output
Table 8.4.—Auto Output in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Seasonally adjusted at annual rates
1992
1993
1992
Seasonally adjusted at annual rates
1994
1993
III
133.5 137.6
126.7 134.3
87.3 91.3
39.5 43.0
37.6 39.1
62.2 67.0
-24.6 -28.0
-32.8 -37.7
14.3 14.5
47.0 52.2
2.0
1.9
Change in business inventories of
new and used autos
New
Used
Addenda:
Domestic output of new autos'
Sales of imported new autos 2
137.2 131.4 140.8 137.0 141.2
130.9 127.7 133.6 135.4 140.7
90.3 86.8 90.3 90.2 98.1
40.6 40.9 43.3 45.2 42.6
37.1 36.9 42.2 38.9 38.2
62.7 61.8 72.6 67.4 66.4
-25.6 -24.9 -30.4 -28.5 -28.2
-32.6 -35.3 -37.0 -39.3 -39.2
15.9 14.5 14.9 13.2 15.4
48.4 49.8 51.8 52.5 54.7
2.1
2.0
2.0
1.5
1.8
4.9
3.4
1.4
-.8
-.7
-1
11.4
12.0
-.7
5.0
1.6
3.5
104.1 110.7 108.0 114.6 111.9
60.1 64.1 60.5 59.6 65.5
-2.4
-3.4
1.0
1993
1992
1994
1993
IV
III
133.2 142.5 136.4 142.8 145.9 134.6 146.7 166.3
Auto output
Final sales
Personal consumption expenditures
New autos
Net purchases of used autos
Producers' durable equipment
New autos
Net purchases of used autos
Net exports
Exports
Imports
Government purchases
1992
5.5
3.5
2.0
161.2
150.8
103.3
47.5
40.7
71.5
-30.8
-32.0
16.6
48.6
1.7
5.1
6.1
-1.0
99.3 117.2 132.2
69.6 61.8 64.8
Auto output
Final sales
Personal consumption expenditures
New autos
Net purchases of used autos
Producers' durable equipment
New autos
Net purchases of used autos
Net exports
Exports
Imports
Government purchases
Change in business inventories of
new and used autos
New
Used
Addenda:
Domestic output of new autos l
Sales of imported new autos 2
IV
117.4 121.1 120.1 122.5 123.4 113.5 125.0 138.0
117.8 117.7 119.6 114.0 121.2 116.3 119.2 136.4
113.9 115.5 115.8 112.2 115.5 115.4 118.8 127.2
77.9 79.5 79.9 76.5 78.9 78.2 84.4 88.4
36.0 36.0 35.9 35.7 36.6 37.2 34.4 38.9
32.8 34.7 32.7 32.6 37.5 34.6 34.0 35.5
55.5 58.4 55.5 54.5 63.5 58.5 57.1 61.2
-22.7 -23.7 -22.8 -21.9 -26.0 -23.9 -23.2 -25.7
-30.5 -34.1 -30.4 -32.6 -33.5 -35.4 -34.9 -27.7
12.7 12.7 14.1 12.8 13.1 11.6 13.6 14.5
43.3 46.9 44.5 45.5 46.6 47.0 48.4 42.2
1.4
1.7
1.1
1.7
1.7
1.2
1.6
1.5
-.4
.1
3.4
2.2
1.2
92.8
53.6
96.3
55.8
8.5
9.1
96.8
53.6
52.5
2.2
-.7
3.0
-2.9
-3.7
.8
96.5
57.3
5.8
4.2
1.6
1.6
2.5
85.8 102.9 111.2
60.4 53.2 55.5
1. Consists of final sales and change in business inventories of new autos assembled in the United States.
2. Consists of personal consumption expenditures, producers' durable equipment, and government purchases.
1. Consists of final sales and change in business inventories of new autos assembled in the United States.
2. Consists of personal consumption expenditures, producers' durable equipment, and government purchases.
Table 8.5.—Truck Output
Table 8.6.—Truck Output in Constant Dollars
[Billions of dollars]
[Billions of 1987 dollars]
Truck output1
Final sales
Personal consumption expenditures
Producers' durable equipment
Net exports
Exports
Imports
Government purchases
Change in business inventories
1. Includes new trucks only.
97.0
98.0 110.3 127.2
92.4 102.0
49.7 52.0
45.3 48.2
-6.7 -6.4
99.9 113.1 123.1
50.0 57.7 61.2
48.6 54.8 60.2
-4.8 -3.6 -3.5
6.6
5.4
6.9
10.2 10.5 10.1
5.2
4.2
6.0
83.3 101.3
93.7 100.0
82.2 101.8
43.3 52.3
37.1 49.2
-5.1 -5.4
92.0
47.8
41.1
-4.6
5.6
5.8
6.0
5.2
5.7
10.7
11.2
10.7
11.9
12.1
6.9
5.6
7.7
4.1
8.2
1.2
-.5
1.7
7.7
-5.0
-1.9
-2.8
4.2
Truck outputl
Final sales
Personal consumption expenditures
Producers' durable equipment
Net exports
Exports
Imports
Government purchases
Change in business inventories
1. Includes new trucks only.
71.4
83.5
79.5
83.7
80.2
79.9
90.1 102.5
70.4
37.1
31.8
-4.4
83.8
43.3
40.4
-4.5
78.1
40.7
34.8
-3.9
77.3
42.0
37.6
-5.7
84.2
43.3
39.6
-5.4
81.4
40.9
39.5
-4.0
92.3
46.9
44.8
-2.9
4.8
9.1
5.9
4.8
9.2
4.6
5.1
9.1
6.6
4.4
4.6
10.1
10.0
3.4
6.7
4.4
8.4
4.9
5.7
8.6
3.5
48.4
-2.9
5.3
8.1
4.2
1.0
-.4
1.4
6.3
-4.1
-1.5
-2.3
3.3
99.2
49.5
SURVEY OF CURRENT BUSINESS
April 1994
NIPA Charts
REAL GDP AND ITS COMPONENTS: TRENDS AND CYCLES
Dec. Nov.
P T
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 1994
•
29
30 • April 1994
SURVEY OF CURRENT BUSINESS
SELECTED SERIES: RECENT QUARTERS
Percent change
Percent change
10
10
REAL GROSS DOMESTIC PRODUCT'
GROSS DOMESTIC PURCHASES PRICE INDEX
...Illl.llM
1991
1992
1993
1994
1991
1992
1993
1994
Percent change
10
REAL GROSS DOMESTIC PURCHASES'
CORPORATE PROFITS WITH IVA AND CCAdi'
.1 ill ill I
300
200
1991
1992
1993
1994
1991
1992
1993
1994
1991
1992
1993
1994
Percent change
10
1991
1. Percent change at annual rate from preceding quarter; based on seasonally adjusted estimates.
2. Seasonally adjusted annual rate; IVA is inventory valuation adjustment, and CCAdi is capital consumption adjustment.
3. Personal saving as percentage of disposable personal income; based on seasonally adjusted estimates.
U.S. Department of Commerce, Bureau of Economic Analysis
1992
1993
1994
SURVEY OF CURRENT BUSINESS
April 1994
Selected Monthly Estimates
Table 1.—Personal Income
[Billions of dollars; monthly estimates seasonally adjusted at annual rates]
1994
1993
1992
1993
Feb.
Mar.
Apr.
May
June
July
Aug.
Sept.
Oct.
Nov.
Feb. r
Dec.
Mar.^
5,144.9
5,388.3
5,249.1
5,289.2
5,365.6
5,380.4
5,373.6
5,365.1
5,432.3
5,440.6
5,478.7
5,511.2
5,548.1
5,501.1
5,600.0
5,633.1
2,973.1
2,405.6
756.5
577.6
682.0
967.0
567.5
3,080.5
2,490.8
763.6
577.3
706.6
1,020.6
589.7
2,976.3
2,393.9
742.7
561.0
684.3
967.0
582.3
2,975.8
2,392.9
740.8
559.6
683.0
969.0
583.0
3,068.3
2,483.8
765.2
582.1
704.9
1,013.6
584.5
3,093.8
2,507.3
766.7
580.3
713.1
1,027.5
586.4
3,086.0
2,497.9
763.3
578.4
709.2
1,025.4
588.1
3,101.6
2,511.3
766.8
579.5
713.2
1,031.3
590.3
3,124.3
2,531.8
769.4
581.2
717.3
1,045.1
592.6
3,120.4
2,524.9
772.1
583.7
712.8
1,040.0
595.5
3,137.7
2,543.3
774.6
584.0
719.0
1,049.7
594.4
3,147.1
2,552.0
779.4
587.5
718.4
1,054.1
595.1
3,164.0
2,567.2
783.9
591.8
722.9
1,060.4
596.8
3,191.5
2,590.6
785.6
592.1
731.4
1,073.6
600.9
3,197.8
2,595.6
790.3
597.2
731.4
1,073.8
602.2
3,212.9
2,610.1
792.6
598.1
737.6
1,079.8
602.8
Other labor income
322.7
350.7
338.5
341.2
343.9
346.6
349.3
352.0
354.7
357.4
360.1
362.9
365.8
368.8
371.9
375.1
Proprietors' income with IVA and CCAdj ....
Farm
Nonfarm
414.3
43.7
370.6
443.2
46.0
397.3
436.9
48.2
388.7
470.2
82.0
388.2
449.4
59.7
389.7
437.9
45.2
392.7
430.8
36.0
394.8
403.8
10.6
433.2
32.7
400.4
449.8
43.9
406.0
470.4
60.0
410.4
480.8
65.3
415.4
464.7
54.1
410.6
478.0
62.2
393.1
430.5
31.1
399.4
484.1
63.6
420.5
-8.9
12.6
9.5
8.1
14.3
12.0
11.9
7.1
16.1
17.9
16.8
16.4
15.9
-43.7
24.6
29.5
Personal dividend income
140.4
158.3
157.1
157.2
157.5
157.8
158.2
158.6
159.0
159.3
159.4
159.4
159.5
159.7
160.4
162.0
Personal income .
Wage and salary disbursements
Private industries
Commodity-producing industries
Manufacturing
Distributive industries
Service industries
Government
Rental income of persons with CCAdj
415.8
Personal interest income
694.3
695.2
695.2
694.1
693.1
692.0
697.8
697.3
696.2
697.9
858.4
413.9
39.2
405.2
912.1
438.4
34.1
439.6
892.6
432.5
32.9
427.2
898.3
432.5
36.0
429.7
901.7
434.7
34.0
433.0
904.5
435.1
32.8
436.7
910.2
435.3
36.4
438.4
693.6
914.3
438.9
34.3
441.1
695.7
Transfer payments to persons
Old-age, survivors, disability, and health insurance benefits
Government unemployment insurance benefits
Other
919.4
438.4
36.2
444.7
921.8
441.0
34.7
446.2
925.9
444.1
32.0
449.8
927.5
444.3
31.8
451.4
936.2
450.0
32.9
453.2
940.7
455.0
28.6
457.1
700.1
946.2
458.4
27.0
460.7
947.0
459.3
25.1
462.6
Less: Persona! contributions for social insurance ,
249.3
264.3
256.9
256.9
263.5
265.3
264.9
265.9
267.4
267.0
268.3
269.1
270.2
278.4
278.9
280.0
5,080.1
64.8
5,320.0
68.3
5,179.0
70.1
5,185.1
104.0
5,283.7
81.9
5,312.8
67.6
5,315.0
58.6
5,332.2
33.0
5,378.7
53.6
5,385.4
55.3
5,412.1
66.6
5,428.4
82.8
5,459.9
88.3
5,423.9
77.2
5,514.6
85.4
5,546.1
87.0
Addenda:
Total nonfarm income
Total farm income 1
p Preliminary.
r
Revised.
1. Equals farm proprietors' income, farm wages, farm other labor income, and agricultural net interest.
702.5
Source: U.S. Department of Commerce, Bureau of Economic Analysis.
CCAdj Capital consumption adjustment
IVA Inventory valuation adjustment
Table 2.—The Disposition of Personal Income
[Monthly estimates seasonally adjusted at annual rates]
1994
1993
1992
1993
M7
a
Feb.
Apr.
| May
July
Aug.
Sept.
Oct.
Nov.
Feb. r
Dec.
Billions of dollars, unless otherwise indicated
5,144.9
5,388.3
5,249.1
5,289.2
5,365.6
5,380.4
5,373.6
5,365.1
5,432.3
5,440.6
5,478.7
5,511.2
5,548.1
5,501.1
5,600.0
Less: Personal tax and nontax payments .
644.8
681.6
657.3
659.0
677.8
683.1
682.0
685.5
690.7
690.9
694.8
698.7
704.1
712.9
715.3
718.9
Equals: Disposable personal income ....
4,500.2
4,706.7
4,591.9
4,630.1
4,687.8
4,697.3
4,691.6
4,679.6
4,741.6
4,749.7
4,783.9
4,812.5
4,844.0
4,788.3
4,884.7
4,914.2
Less: Personal outlays
4,261.5
4,516.8
4,435.1
4,409.8
4,459.4
4,481.9
4,509.4
4,527.6
4,544.0
4,560.4
4,604.7
4,618.7
4,636.9
4,635.1
4,693.5
4,712.6
4,139.9
497.3
1,300.9
2,341.6
4,391.8
537.9
1,350.0
2,503.9
4,311.6
508.2
1,345.0
2,458.4
4,286.1
506.7
1,327.2
2,452.2
4,335.8
526.6
1,342.3
2,466.9
4,358.7
532.7
1,344.1
2,481.8
4,385.3
535.6
1,348.1
2,501.6
4,403.3
540.0
1,349.6
2,513.7
4,419.2
544.1
1,350.5
2,524.6
4,434.8
541.6
1,357.1
2,536.1
4,477.9
559.4
1,366.3
2,552.1
4,490.8
562.1
1,366.0
2,562.7
4,507.4
566.8
1,370.0
2,570.5
4,504.3
567.7
1,359.9
2,576.7
4,562.5
577.3
1,383.9
2,601.2
4,581.4
587.3
1,384.3
2,609.8
111.1
10.4
114.0
11.0
112.4
11.0
112.7
11.0
112.7
11.0
112.2
11.0
113.1
11.0
113.5
10.8
114.0
10.8
114.8
10.8
115.6
11.2
116.6
11.2
118.3
11.2
119.2
11.7
119.3
11.7
119.5
11.7
238.7
189.9
156.8
220.4
228.4
215.4
182.3
152.0
197.7
189.3
179.2
193.9
207.2
153.2
191.2
201.6
3,632.5
3,700.9
3,636.5
3,660.4
3,694.2
3,697.7
3,691.2
3,678.5
3,721.3
3,726.3
3,740.2
3,755.5
3,778.1
3,741.1
3,798.2
3,810.5
17,615
14,219
255,472
18,225
14,330
258,254
17,854
14,139
257,190
17,988
14,220
257,403
18,196
14,339
257,631
18,216
14,339
257,870
18,176
14,301
258,115
18,113
14,238
258,356
18,335
14,389
258,612
18,348
14,395
18,463
14.435
259,106
18,557
14,481
259,336
18,663
14,556
259,556
18,434
14,402
259,757
18,791
14,612
259,947
14,648
260,143
3,341.8
456.6
1,062.9
1,822.3
123.9
3,453.2
490.0
1,088.1
1,875.2
127.2
3,414.5
465.5
1,082.2
1,866.9
126.3
3,388.4
464.4
1,067.4
1,856.6
126.5
3,416.7
479.5
1,079.0
1,858.3
126.9
3,431.2
485.2
1,081.7
1,864.3
127.0
3,450.2
487.9
1,088.8
1,873.6
127.1
3,461.2
491.8
1,089.8
1,879.6
127.2
3,468.2
494.9
1,090.0
1,883.3
127.4
3,479.2
492.5
1,099.1
1,887.7
127.5
3,500.9
506.6
1,100.4
1,894.0
127.9
3,504.4
509.9
1,098.3
1,896.1
128.1
3,515.5
516.3
1,101.8
1,897.3
128.2
3,519.2
515.8
1,094.1
1,909.3
128.0
3,547.7
523.0
1,113.6
1,911.1
128.6
3,552.4
530.0
1,112.3
1,910.2
129.0
5.3
4.0
3.9
4.4
4.7
4.4
3.9
3.8
3.8
4.0
3.9
4.0
3.8
3.8
3.7
0.7
0.6
0.7
-0.8
1.8
Personal income
Personal consumption expenditures
Durable goods
Nondurable goods
Services
Interest paid by persons
Personal transfer payments to rest of the world (net) .
Equals: Personal saving
Addenda:
Disposable personal income:
Total, billions of 1987 dollars 1
Per capita:
Current dollars
1987 dollars
Population (thousands)
Personal consumption expenditures:
Total, billions of 1987 dollars
Durable goods
Nondurable goods
Services
Implicit price deflator, 1987-100 ...
Personal saving as percentage of disposable personal
income 2
5,633.1
Percent change from preceding period
Personal Income, current dollars .
6.1
4.7
0.4
0.8
0.3
-O.1
-0.2
1.3
0.2
0.6
Disposable personal income:
Current dollars
1987 dollars
Personal consumption expenditures:
Current dollars
1987 dollars
p
Preliminary.
Revised.
1. Disposable personal income in 1987 dollars equals the current-dollar figure divided by the implicit price deflator
for personal consumption expenditures.
r
1.0
1.3
2. Monthly estimates equal the centered 3-month moving average of personal saving as a percentage of the
centered 3-month moving average of disposable personal income.
Source: U.S. Department of Commerce, Bureau of Economic Analysis.
3-2 • April 1994
SURVEY OF CURRENT BUSINESS
Table 3.—U.S. Internationa! Transactions in Goods and Services
[Millions of dollars; monthly estimates seasonally adjusted]
1994
1993
1992
1993
Feb.
Mar,
Apr.
June
May
July
Aug.
Sept.
Oct.
Nov.
Dec.
Jan. r
Feb./'
619,848
643,563
51,829
54,090
53,568
53,746
52,563
52,399
52,731
53,660
54,957
54,735
57,250
54,296
52,902
Goods
Foods, feeds, and beverages
Industrial supplies and materials
Capital goods, except automotive
Automotive vehicles, engines, and parts
Consumer goods (nonfood), except automotive
Other goods
Adjustments1
440,138
40,209
109,307
176,709
47,080
50,382
24,476
-8,026
456,771
40,391
111,953
183,037
51,691
53,413
24,288
-8,002
36,253
3,447
8,683
14,251
4,380
4,237
1,931
-675
38,382
3,468
9,238
15,579
4,307
4,351
1,951
-513
37,841
3,411
9,109
15,226
4,424
4,242
2,067
-638
38,249
3,310
9,676
15,278
4,298
4,501
1,866
-681
36,977
3,151
8,833
15,255
4,115
4,291
1,994
-662
36,577
3,223
9,327
14,336
3,792
4,442
1,989
-532
37,224
3,053
8,967
15,296
4,170
4,491
2,073
-826
38,134
39,371
3,499
9,893
15,579
4,521
4,559
2,041
-721
39,451
41,469
3,472
9,681
15,565
4,740
4,791
1,987
-785
3,666
9,792
17,186
4,635
4,666
2,288
-765
38,528
3,314
8,977
16,097
4,425
4,515
1,979
-778
37,165
3,174
8,605
15,242
4,497
4,425
1,956
-734
Services
Travel
Passenger fares
Other transportation
Royalties and license fees
Other private services
Transfers under U.S. military agency sales contracts 2
U.S. Government miscellaneous services
179,710
53,861
17,353
22,773
20,238
53,601
11,015
869
186,792
56,501
17,849
23,508
20,414
56,434
11,259
827
15,576
4,722
1,519
1,891
1,628
4,735
1,027
54
15,708
4,668
1,491
2,026
1,646
4,774
1,039
63
15,727
15,497
4,690
1,491
1,942
1,746
4,543
15,822
4,911
1,542
1,916
1,732
4,683
971
15,507
4,705
15,526
4,669
1,459
15,781
4,874
1,507
15,737
4,857
1,509
1,893
1,725
4,703
947
60
15,586
4,726
1,476
2,052
15,767
4,898
1,475
4,761
99
15,586
4,700
1,517
1,951
1,752
4,606
963
97
15,284
4,796
1,522
2,000
1,725
4,588
1,002
94
912
56
1,709
4,728
832
63
1,705
4,829
802
63
659,575
720,324
55,464
61,038
60,252
58,647
60,886
59,290
59,775
61,843
63,417
Goods
Foods, feeds, and beverages
Industrial supplies and materials
Capital goods, except automotive
Automotive vehicles, engines, and parts
Consumer goods (nonfood), except automotive
Other goods
Adjustments1
536,276
27,857
138,273
134,193
91,779
122,973
17,590
3,611
589,210
28,050
145,021
152,788
102,447
133,852
18,354
44,992
2,174
11,052
11,718
8,347
10,264
1,278
160
50,168
2,389
12,643
12,379
8,850
11,489
1,598
821
49,331
48,059
2,304
12,265
12,302
8,159
10,671
1,605
753
50,076
2,341
12,753
13,094
8,589
11,307
1,614
378
48,334
48,871
2,316
12,096
12,822
2,331
11,734
12,456
7,769
11,001
8,523
11,680
50,702
2,437
12,193
13,004
8,742
11,612
1,529
800
1,373
774
1,518
52,015
2,563
12,493
13,653
8,995
11,740
1,547
1,196
Services
Travel
Passenger fares
Other transportation
Royalties and license fees
Other private services
Direct defense expenditures2
U.S. Government miscellaneous services
123,299
39,872
10,943
23,454
4,986
27,988
13,766
2,290
131,114
42,329
11,256
24,511
4,748
33,595
12,286
2,388
10,472
3,447
911
1,870
361
2,618
1,066
199
10,869
10,921
3,521
944
2,088
393
2,718
1,067
191
10,588
10,956
3,503
911
2,080
410
2,843
1,000
210
10,904
3,457
918
2,020
411
2,901
983
213
11,141
1,060
190
10,811
3,376
905
2,093
407
2,791
1,050
190
3,634
960
2,044
412
2,905
975
212
-96,138 -132,439
56,411
55,678
-39,727 -76,761
-8,739
5,104
-3,635
-11,787
4,839
-11,491
4,806
-6,684
-9,810
4,909
-4,901
-13,098
4,775
-8,323
-11,757
4,866
-6,891
-11,647
4,603
-7,044
-12,568
4,385
-8,183
Exports of goods and services
Imports of goods and services
Memoranda:
Balance on goods
Balance on services
Balance on goods and services
3,494
933
2,149
369
2,668
1,058
198
-6,948
2,240
12,643
12,426
8,777
11,094
1,481
671
p Preliminary.
r
Revised.
1. Reflects adjustments necessary to bring the Census Bureau's component data in line with the concepts and
985
3,366
894
2,003
401
2,674
3,432
9,581
14,999
4,125
4,597
2,151
-751
1,951
1,718
4,531
1,416
1,938
2,009
1,705
4,836
1,539
2,005
1,983
787
63
1,719
4,703
838
66
1,721
4,764
835
62,190
61,398
60,938
62,608
1,025
50,802
2,348
12,283
13,283
8,811
11,504
1,687
887
50,217
2,343
11,561
13,966
8,912
11,080
1,740
616
49,878
2,457
11,566
14,181
8,466
11,266
1,538
403
51,051
2,379
12,092
13,965
8,823
11,431
1,572
789
11,402
11,388
3,698
1,004
2,085
11,181
3,613
951
2,995
983
194
11,061
3,555
948
1,987
414
2,989
972
196
11,556
3,715
-8,748
4,600
-4,148
-11,350
4,707
-6,643
-13,886
4,181
1,008
2,133
409
2,954
984
199
409
3,013
983
196
-12,643
-11,351
4,184
3,896
-7,455
-8,460
2,036
409
69
3,708
994
1,989
683
3,026
961
195
-9,706
definitions used to prepare BEA's international and national accounts.
2. Contains goods that cannot be separately identified.
Source: U.S. Department of Commerce, Bureau of Economic Analysis and Bureau of the Census.
Mar.
April 1994
SURVEY OF CURRENT BUSINESS
33
Integrated Economic and Environmental
Satellite Accounts
The existing systems of national economic accounts—including national income
and product accounts, input-output accounts, and balance sheets—are without question premier tools for analysis and decisionmaking. Since their origins over so years
ago, they have been refined, extended, and updated to reflect changes in the economy
and to respond to changing analytical and policy concerns. Continuing this evolution,
this article and its companion "Accounting for Mineral Resources: Issues and BEA'S
Initial Estimates," beginning on page 50, present new work by BEA on an accounting
framework that covers the interactions of the economy and the environment. To do
so, this framework provides new breakdowns that are relevant to the analysis of these
interactions and extends the existing accounts' definition of capital to cover natural
and environmental resources. The framework takes the form of a satellite account—an
account that supplements, rather than replaces, the existing accounts.
This article presents the analytical and economic accounting background for the
new work, an overview of the satellite accounting framework, and a long-term plan to
implement the framework. Because it introduces a topic that has both economic and
environmental dimensions, some parts of the article may appear elementary—perhaps
even oversimplified—to readers familiar with the economic (and economic accounting) dimensions, while other parts may appear elementary to those familiar with the
environmental dimensions.
The second article discusses the conceptual and methodological issues in mineral
resource accounting and presents estimates of mineral stocks and changes in those
stocks for the past several decades. It is a technically oriented article that describes
in some detail the alternative valuation methods and the source data and estimating
procedures used to prepare the new estimates.
Over the years, the national economic accounts have benefited from discussion
and critique of concepts, source data, and estimating methods. The same is to be
expected for the IEESA'S, as BEA'S new integrated economic and environmental satellite
accounts are being called. I invite your comments.
Carol S. Carson
Director, Bureau of Economic Analysis
C HE ECONOMY and the natural environJL ment interact at many points, and these
interactions raise analytical questions.
• The Nation's wealth includes natural resources, such as oil and gas reserves and
timber, that are used in production. At what
rate are these resources being used?
• The income of producers in the mineral industries includes a return to the drilling rigs,
mining equipment, and other structures and
equipment engaged in them and a return to
the mineral What share is attributable to
the mineral?
• Economic activity adds to the proved stock
of natural resources by exploration and technological innovation. How much of the use
of natural resources in production has been
offset by these additions?
• Households, governments, and business all
make expenditures to maintain or restore the
environment. What share of their spending
is for the environment?
• The economy disposes of wastes into the air
and water, and the resulting degradation of
the environment imposes costs, such as lower
timber yields and fish harvests and higher
cleaning costs. What are these costs? Which
sectors bear them?
The answers to questions such as these about
the interaction of the economy and the environment are often based on partial and sometimes
even inconsistent information, suggesting the
need to identify and quantify the interactions
SURVEY OF CURRENT BUSINESS
34 • April 1994
within a systematic framework as a basis for more
informed analysis and decisionmaking. This
article introduces the integrated economic and
environmental satellite accounts (IEESA'S), which
are meant to help fill that need. The IEESA'S are a
supplementary set of accounts structured to show
the interactions of the economy and the environment more fully than the existing economic
accounts. While the IEESA'S build on the existing economic accounts, they do not replace them;
likewise, IEESA measures do not replace measures,
such as gross domestic product (GDP), from the
existing accounts.
serve and their general structure are introduced
in the accompanying box.) Work on the natural resources satellite accounts was given added
impetus and extended in scope in 1993 when
President Clinton, as part of his April 21 Earth
Day address, gave high priority to the development of "Green GDP measures [that] would
incorporate changes in the natural environment
into the calculations of national income and
wealth." At that time, BEA committed to producing initial estimates of natural resource depletion
within a year.
The Bureau of Economic Analysis (BEA) began
work leading to this article—and to the companion article about mineral resources, which
begins on page 50—in 1992. At that time, as part
of a long-term program to modernize its economic accounts, BEA began research on two sets
of accounts to supplement the existing national
accounts. One of these sets of supplementary
accounts, called satellite accounts, focused on
the stock, and changes in the stock, of natural
resources.1 (The roles that satellite accounts can
The first section of this article discusses the
analytical and economic accounting background
of the IEESA'S and concludes with a summary
of a United Nations system of satellite accounts
for the environment, after which BEA'S accounts
are fashioned. The second section introduces the
main features of the IEESA'S, presents an inventory of available data sources, and considers uses
of the new accounts. The final section describes
BEA'S long-term work plan for developing the
satellite accounts, the first phase of which is completed with the presentation of the two articles in
this issue of the SURVEY OF CURRENT BUSINESS.
Bibliographic references for both articles begin
on page 62.
i. The other set, on research and development, will be introduced in an
upcoming issue of the SURVEY OF CURRENT BUSINESS.
Satellite Accounts: What Are They?
Satellite accounts are frameworks designed to expand
the analytical capacity of the national accounts without
overburdening them or interfering with their generalpurpose orientation. In this role, satellite accounts
organize information in an internally consistent way that
suits the particular analytical focus at hand, yet they
maintain links to the existing national accounts. Further, because they supplement, rather than replace, the
existing accounts, they can be a laboratory for economic
accounting in that they provide room for conceptual
development and methodological refinement.
In their most flexible applications, satellite accounts
may use definitions and concepts that differ from the
existing accounts. For example, a satellite account may
be built around a broader concept of capital formation
than the existing accounts. This flexibility is being used
in BEA'S work on integrated economic and environmental accounts and on research and development accounts.
Satellite accounts such as these use different concepts
and definitions by design; in other respects, they retain
consistency with the existing accounts.
Satellite accounts can add detail or other information about a particular aspect of the economy to
that in the existing accounts; for instance, they can
integrate monetary and physical data. They can ar-
range information differently, perhaps by cutting across
sectors to assemble information on both intermediate and final consumption.
For example, a satellite account can assemble business expenditures on
training—treated as intermediate consumption in the
existing accounts—and education-related expenditures
by households and government to analyze the role of
education in the economy. They can use a classification other than the primary one. For example,
they can identify expenditures on "research in education" as part of research expenditures even though they
are included in education expenditures in the existing
accounts.
The terminology and concepts associated with satellite accounts reflect the experiences of several countries
that have constructed them, largely on an ad hoc basis,
for fields such as health, education, agriculture, research
and development, and the environment. The System of
National Accounts 1993, the newly revised international
guidelines, includes a chapter that provides a general
framework for satellite accounts and demonstrates how
that framework can be used for some of the fields in
which such accounts would be most useful. This chapter
represents, in a real sense, the coming of age of satellite
accounts as an analytical tool.
SURVEY OF CURRENT BUSINESS
The Background for Integrated Economic
and Environmental Accounting
The analytical background
It is, of course, a simplification to speak of the
economy and the environment as two distinct
realms. It can be argued, for example, that the
economy is part of nature because the economic
activity of human beings in producing food and
shelter parallels the similar activity of animals.
In this simplification, the economy is defined
as the human activities relating to income, production, consumption, accumulation, and wealth
(although there is a continuing discussion about
the scope to be given, for example, to the term
"production"). The term "environment" refers to
the environment of human beings, which is made
up of the biological resources, subsoil resources,
land and related ecosystem resources, water, and
air. From the standpoint of the economy, the
environment can be thought of as consisting of
a range of natural resource and environmental
assets that provide an identifiable and significant
flow of goods and services to the economy.
The economy uses these productive natural assets in a wide range of ways. Crude oil pumped
from proved reserves, for example, is used in the
production of petroleum products, while clean
water in lakes and oceans is used in the production of fish, paper products, and electric power.
The economy's uses of the goods and services
provided by these environmental assets can be
grouped into two general classes. When use of
the natural asset permanently or temporarily reduces its quantity, the use is viewed as involving
a flow of a good or service, and the quantitative
reduction in the asset is called depletion. In that
class of uses, biological resources, for example,
are used as food, as raw materials for clothing,
and as building materials and fuel. Water is used
for drinking, cooling, processing, and irrigation.
When use of the natural asset reduces its quality, the qualitative reduction in the asset is called
degradation. These qualitative uses include the
conversion of land from one use to another, such
as the partial development of forestland. The
development of forestland results in a reduction
in the economic value of the land as forestland
because of the reduction in the flow of recreational services associated with its degradation as
a wildlife area and tourist destination. In another
kind of qualitative use, natural assets are used as
a sink for the disposal of residual pollutants that
are byproducts of production.
The use of natural assets describes only part
of the interaction between the economy and the
environment. There are also feedback effects.
Materials balance and energy accounting highlight both the use of the natural assets and the
feedback effects from the use; thus, they capture the full interaction between the economy
and the environment.2 In the case of natural resources, oil pumped from reserves today reduces
the quantities that can be extracted from existing
fields in the future; similarly, overharvesting of
fish stocks today reduces yields in the future.
In the case of environmental assets, the feedback is more complicated, with effects that often
fall on other industries and consumers. For example, when businesses use environmental goods
and services along with labor and capital in production, residuals—such as lead and cadmium,
or carbon monoxide and sulfur oxides—are also
produced and are then disposed of into the environment. Up to a point, the environment is able
to assimilate these residuals; beyond that point,
however, significant environmental degradation
affects the ability of the environment to provide
2. Materials balance and energy accounting, developed in the late 1960's,
is based on the first law of thermodynamics—that matter can neither be
created nor destroyed. The accounts therefore describe a circular flow process:
A raw material input is transformed by the processes of the economy, this
transformation results in a new product and in residuals, and those residuals
are transformed in the natural environment into raw materials.
Acknowledgments
This article and its companion are the initial products of BEA'S natural resource accounting project, J.
Steven Landefeid, BEA'S Deputy Director, directed the
project. He and Carol S. Carson, BEA'S Director, were
the principal authors of the two articles. Gerald F.
Donahoe, Chief of the National Income and Wealth
Division, coordinated and supervised the preparation
of the estimates for this project. The other authors
and their areas of responsibility were as follows: Bruce
T. Grimm, SNA accounting issues, present discounted
value minerals estimates, and rates of return; Stephanie
L. Howell, IEESA framework and estimates other than
minerals; Arnold ]. Katz, conceptual issues, minerals methods, and oil and gas transactions estimates;
Gary L. Rutledge, pollution abatement and control
estimates; Timothy F. Slaper, minerals concepts and
methods, current-rent minerals estimates, and oil and
gas replacement-cost estimates; Eric J. Troyer, minerals methods and estimates, BE A also acknowledges the
many outside experts who provided advice on source
data and methods. In particular, Richard W, Haynes,
of the U.S. Department of Agriculture Forest Service,
provided data and essential assistance with the issues
and methods involved in the valuation of standing
timber.
April 1994 • 35
36 • April 1994
SURVEY OF CURRENT BUSINESS
raw materials to the economy (and to assimilate
residuals). Degradation of air and water quality,
for example, may lead to economic feedback—for
example, lower timber yields and fish harvests,
higher rates of depreciation in plant and equipment, additional cleaning costs, and increased
health expenditures. In addition, either because
of governmental regulations or the need to dispose of residuals that the environment can no
longer handle, businesses and others may need to
make expenditures for pollution abatement and
control.
Integrated economic and environmental accounting aims to provide a picture of these
interactions between the economy and the environment. Although this picture, as already
noted, has numerous elements and is complex,
by definition it does not cover many of the
transformations and interactions within the environment itself—for example, the disposal of
waste products from wild fish and mammals or
the conversion of natural carbon dioxide into
oxygen by plant matter on land and in the
oceans. The accounts highlight the fact that
economic sustainability depends on environmental sustainability, and they provide data to help
analyze the costs and benefits for the careful
stewardship of our economic and environmental assets. Consistent and detailed accounting of
the interactions between the economy and the
environment provides a common framework for
integrating the work of environmental specialists,
economists, and other analysts from a wide range
of disciplines.
The economic accounting background
Economic accountants have long been aware of
the issues that arise with respect to natural resources and the environment. One of the issues,
which is also reviewed in the companion article, is whether the economic accounts should
reflect the parallelism that is apparent in business accounting between depreciation, a charge
for the using up of plant and equipment in production, and depletion, a charge for the using
up of natural resources in production. In particular, because depletion of mineral resources
has long been chargeable against profits in the
U.S. tax code and because tax return tabulations have been used as source data for profits
and other property income components of the
national income and product accounts (NIPA'S),
explicit decisions were required on the treatment
of depletion in the accounts. Initially, depletion
was treated symmetrically with depreciation, but
no entry was made for additions to the stock
of mineral resources parallel to the treatment of
investments in structures and equipment. As
a result of dissatisfaction with this asymmetric
treatment, the entry for depletion was removed
beginning in 1947.
In the late 1960^ and early 1970's, environmental accounting issues came up as part of a broader
interest in social accounting. Work by James
Tobin and William Nordhaus, among others,
on adjusting traditional economic accounts for
changes in leisure time, disamenities of urbanization, exhaustion of natural resources, population
growth, and other aspects of welfare produced
indicators of economic well-being. However, the
seemingly limitless scope, the range of uncertainty, and the degree of subjectivity involved
in such measures of nonmarket activities limited
the usefulness of, and interest in, these social
indicators. It was felt that inclusion of such
measures would sharply diminish the usefulness
of traditional economic accounts for analyzing
market activities. Attention subsequently focused
on more readily identifiable and directly relevant market issues, such as the extent to which
expenditures that relate to the protection and
restoration of the environment (and other socalled defensive expenditures) are identifiable in
the economic accounts.
In response to this interest in environmental
protection, in the mid-1970's, BEA was a pioneer in the development of estimates of pollution
abatement and control (PAC) expenditures in a
national accounting framework. Further, presaging what was to come, the framework for these
estimates can be viewed as an early form of a
satellite account. The PAC estimates focus on an
area of interest and provide detail that would have
burdened presentation of the more general NIPA
estimates.
The steps in the evolution of natural resource
and environmental accounting since the early
1980's can be summarized in terms of international efforts, in which there was active U.S.
participation, and the literature related to these
effects. For this purpose, 1982 is a reasonable
place to start. In that year, the United Nations Environment Program (UNEP) was given
the mandate to develop methodological guidelines on environmental accounting. In its earlier
work, UNEP had tried to clarify the linkages
between economic development and the environment to help integrate issues of environmental
and resource management into the framework
of economic decisionmaking. To follow up on
SURVEY OF CURRENT BUSINESS
the mandate, UNEP and the World Bank sponsored a series of workshops in 1983-86 to explore
the current state of environmental and natural
resource accounting. The general thinking was
that although economists had long considered the
"external effects" of production and consumption, they had not taken into account the effects
on the resource system as a whole and the consequence that eventually someone was going to
have to bear the "external costs." A broader
view would internalize environmental costs in the
production process, for which it would be essential to calculate costs and benefits properly
and to distinguish clearly between true income
and the drawing down of assets by depletion or
degradation. Accordingly, the workshops focused
on the shortcomings of traditional economic accounting: GDP does not adequately represent true
income because environmental protection costs
are treated as generating income and because depletion and degradation of natural resources are
not charged against current income. A number
of remedies for these shortcomings were proposed, but workable methodologies and good
data were lacking, and some of the proposals were
conflicting.3
Although the empirical foundations for integrating environmental and economic accounting estimates were lacking in the mid-i98o's,
a growing body of research and information
was accumulating.4 France, Norway, and the
Netherlands were working toward physical accounting matrices, which they have integrated
into cost-benefit and cost-effectiveness work in
the environmental policy field. Subsequently,
Canada, the United Kingdom, Japan, and Australia all did preliminary work toward supplementing their traditional accounts. The United
Nations and the World Bank jointly sponsored
pilot studies with statisticians in Mexico and
Papua New Guinea. In addition to these country
efforts, researchers—such as Henry Peskin, working with the Environmental Protection Agency in
a study of the Chesapeake Bay region, and Robert
Repetto and his associates at the World Resources Institute, in their studies of China, Costa
Rica, and the Philippines—have added significantly to the growing literature on environmental
accounting.
In the meantime, a revision of the System of
National Accounts (SNA), the international guidelines followed by most countries in preparing
their economic accounts, was undertaken. A ma3. See Salah El Serafy and Ernst Lutz [7].
4. See, for example, Henry M. Peskin and Ernst Lutz [17].
jor issue was the extent to which the revised
SNA would remedy the perceived shortcomings of
traditional national accounts.
The discussion stimulated by the 1987 report
of the World Commission on Environment and
Development, Our Common Future, gave added
reason to explore statistical measures that would
provide appropriate tools to guide policy and
decisionmaking.[34] This report focused on sustainable development—that is, development that
meets the needs of the present without compromising the ability to meet the needs of the
future. According to the report, the Commission
had been established by the United Nations General Assembly because of the growing realization
that it is impossible to separate economic development issues from environmental issues—the
realization, in other words, that many forms of
development erode the environmental resources
upon which they are based, and that such environmental degradation can undermine economic
development.
By 1989, it became clear that, given the divergent views on a number of conceptual and
practical issues in natural resource and environmental accounting, international consensus in
time for a fundamental change in the SNA as
part of the ongoing revision was not possible.
Therefore, it was agreed that the revised SNA
would address links to environmental concerns,
such as the definition and boundary for assets,
and that a satellite account for integrated economic and environmental accounting would be
pursued. The United Nations undertook the
preparation of a handbook to provide guidance
on the construction of the satellite account.
Subsequently, this approach found support in
several forums. In May 1991, a Special Conference
of the International Association for Research in
Income and Wealth brought together economic
accountants and environmental specialists to discuss a preliminary version of the United Nations
handbook. In June 1992, the United Nations
Conference on Environment and Development
(the "Earth Summit") in Rio de Janeiro included
a program for establishing systems of integrated
accounts as a complement to the existing system
in its Agenda 21.[29] Agenda 21 urged national
offices that prepare economic accounts to undertake the work and urged the United Nations to
distribute widely, and then refine, its handbook.
In October 1992, economic accountants, in a seminar held to review the revised SNA, generally
welcomed the features that link to the environment and the section of the revised SNA'S chapter
April 1994 • 37
3$ • April 1994
SURVEY OF CURRENT BUSINESS
on satellite accounts that discusses integrated economic and environmental accounts based on the
United Nations handbook. In February 1993,
the Statistical Commission of the United Nations
endorsed the revised SNA.5 The Commission, in
highlighting the important features of the revised
SNA, noted that it laid the groundwork for dealing
with the interaction between the economy and
the environment.
The United Nations System of Environmental
and Economic Accounting
The United Nations System of Environmental
and Economic Accounting (SEEA), as described
in the handbook, is a flexible, expandable satellite system.[30] It draws on the materials balance
approach to present the full range of interactions
between the economy and the environment. The
SEEA builds on, and is designed to be used with,
the System of National Accounts 1993 (hereafter
SNA 1993) [31]. Like the SNA, the SEEA is primarily
concerned with the implications of the environment for production, income, consumption, and
wealth.
The SEEA has four stages, each successively
providing a more comprehensive accounting for
the interaction between the economy and the
environment. The four-stage presentation recognizes the need to develop concepts, to inventory
and augment source data, and to adapt the implementation to differing analytical needs. The
starting point is the SNA 1993^ which incorporated
several features that anticipated the needs of environmental accounting.6 Stage A disaggregates,
or provides additional detail on, environmentally
related economic activities and assets. This stage,
for example, focuses on actual expenditures intended to prevent or repair the degradation of
the environment. It includes a detailed breakdown of the stocks of natural resource assets and
changes in these stocks. Finally, it includes sector
links to show the supply and uses of natural re5. For a summary of the SNA, the revision process, and the new features,
see [30].
6. The two main features that anticipated the needs of environmental
accounting dealt with the coverage of assets and the recording of changes in
them. First, the SNA 1993 includes within the boundary of economic assets
all assets over which ownership rights can be established and enforced and
that provide economic benefits to their owners. This boundary explicitly
includes natural assets, both those whose growth is the result of human
cultivation (for example, vineyards and livestock) and those that, although
not cultivated, are under control of an owner (for example, land, subsoil
assets, and water resources). Second, it records all changes in the value of
assets from one balance sheet to another. As part of doing this, there is an
account to record certain changes in assets not recorded as production or as
costs of production; this account records, for example, the additions to, and
depletion of. subsoil assets and the natural growth of uncultivated forests.
Another account records changes in the value of assets due to price change.
Further, the SNA 1993 describes how to use these and other features as a point
of departure for an environmental satellite account.
sources. The use of natural resources—depletion
and degradation—can be broken down into intermediate inputs by industry, investment, final
consumption by households and government,
and imports and exports.
Stage B begins with the physical counterpart of
stage A. It maps, in physical terms, the interaction between the environment and the economy.
It provides the physical quantities to which prices
are applied to derive the economic values included in the economic accounts. These physical
accounts also provide a bridge to natural resource accounting and to materials and energy
balances accounting. Stage B then links the
physical quantities to monetary values.
Stage C provides far more comprehensive and
explicit measures of the interaction between the
economy and the environment. It does so, first,
by the use of alternative valuation techniques-—
that is, alternatives to the use of values tied to the
market, the valuation used in the SNA 1993 and
in traditional accounting systems. The alternative valuation techniques include estimates based
on maintenance costs, or the costs necessary to
maintain at least the present level of environmental assets, and estimates based on contingent
valuation, or the willingness to pay for reductions
in depletion or degradation of natural assets.
Second, it does so by the more explicit introduction of environmental effects on the measures
of national production, investment, income, and
wealth. Stages A and B of the SEEA (as well as
the SNA 1993) record environmental effects either
as changes in the value of assets or as changes
in the distribution of income among the factors
of production; these changes do not explicitly affect gross domestic product, final demand, or net
domestic product.
Stage D consists of further extensions of the
SEEA. These extensions are provided for the
purpose of "opening a window on further analytical applications," and they will require further
research. They include household production
and the use of recreational and other unpriced
environmental services in household production.
Framework for the IEESA'S
BEA'S IEESA'S build on the accumulating experience represented in the SEEA. This experience is
consistent with two lessons from social accounting in the 1970*8. First, such accounts should be
focused on a specific set of issues. Second, given
the kind of uses to which the estimates would
be put, the early stage of conceptual develop-
April 1994 • 39
SURVEY OF CURRENT BUSINESS
ment, and the statistical uncertainties (even if the
estimates are limited to the effect on market activities), such estimates should be developed in a
supplemental, or satellite, framework.
Structural features
The IEESA'S are structured to focus on the interaction of the economy and the environment. The
interactions covered are those that can be tied to
market activities and thus valued in market prices
or proxies thereof. They are shown as effects on
production^ income, consumption and wealth.
The accounts have two main structural features. First, natural resources and environmental
resources are treated like productive assets. These
resources, along with structures and equipment,
are treated as part of the Nation's wrealth, and
the flow of goods and services from them are
identified and their contribution to production
measured. Second, the accounts provide substantial detail on expenditures and assets that
are relevant to understanding and analyzing the
interaction. Fully implemented XEESA'S would
permit identification of the economic contribution of natural and environmental resources by
industry, by type of income, and by product.
Ultimately, accounts by region would add an
important analytical dimension.
Natural and environmental resources as productive
assets.—An example helps to explain the reasoning behind treating natural and environmental
resources like productive assets in the economic
accounts. This example is much simplified, notably in that it shows only one side of an account,
focuses on aggregates, and uses descriptive rather
than technically precise terminology. In this example, all income from production goes to either
"wages" or "profits." Wages are recorded as
earned; however, profits—that is, total revenues
less labor and other operating expenditures—are
reduced by an entry for "depreciation," where
depreciation is the amount that must be set aside
to cover the using up of capital in production.
Thus, for an industry and for all industries combined, wages plus profits and depreciation equals
gross domestic product (GDP).
In the traditional accounts, the economy would
be pictured as follows:
Wages
Plus: Profits
Depreciation
Gross domestic product
6,000
3,000
1,000
10,000
Because depreciation is included in GDP, GDP
is not a measure of sustainable income; that is,
if a nation consumed all of its GDP, it would reduce the productive capacity available to future
generations because it had consumed the amount
it should have set aside to cover the using up of
capital In fact, the "gross" in the name, gross
domestic product, refers to that feature. As a better measure of sustainable income, the traditional
accounts provide net domestic product (NDP),
which is calculated as GDP less depreciation.
Gross domestic product
Less: Depreciation
Net domestic product,.
10,000
1,000
9,000
Capital in the traditional accounts is limited
to structures and equipment. In the IEESA'S,
natural and environmental resources are viewed
as having characteristics similar to structures
and equipment: Labor and materials are devoted to producing them, and they then yield
a flow of services over time. For that reason,
the IEESA'S include these resources, along with
structures and equipment, as part of the Nation's wealth and give them the same treatment
as structures and equipment in the traditional
accounts. The IEESA'S deal with three points
of asymmetry between the treatment of natural
resources—for example, mineral reserves—-and
of structures and equipment encountered in traditional accounts. In traditional accounts: (i)
depreciation is subtracted from profits to determine true, or sustainable, profits, but depletion
is not; (2) depreciation is subtracted from GDP to
estimate NDP, but depletion is not; and (3) additions to the stock of plant and equipment are
added to GDP as capital formation, but additions
to mineral reserves are not.
The depletion of mineral reserves is like the
depreciation of plant and equipment: It is the
amount that must be set aside to cover the cost of
using up mineral resources in production. If an
oil company earns $3,000 in profits but depletes
its mineral reserves by $100, then its true economic profits are only $2,900, the amount over
and above its depletion of assets. In the IEESA'S,
therefore, an estimate is made of the amount of
profits that should be recognized as depletion
This amount is subtracted from profits and entered, like depreciation, as a separate component,
thereby dealing with the first point of asymmetry. Further, depletion, like depreciation, must
40 • April 1994
SURVEY OF CURRENT BUSINESS
be subtracted from GDP to arrive at NDP. Doing
so deals with the second point of asymmetry.
Wages
Plus: Profits (IEESA)
Depreciation
Depletion
Gross domestic product (IEESA)
Less: Depreciation
Depletion
Net domestic product (IEESA) ..
6,000
2,900
1,000
100
10,000
1,000
100
8,900
Note that recognizing depletion lowers profits
and changes the composition of GDP, but the level
of GDP itself is not reduced; recognizing depletion
reduces NDP in comparison with the traditional
accounts' NDP.
In the IEESA'S, additions to mineral reserves
(for example, extensions as a result of investments in improved technology or additions as a
result of exploration) are treated like additions
to the stock of structures and equipment—that
is, as capital formation. Additions to reserves do
not appear in the traditional accounts; therefore,
to treat them as capital formation, they are added
to GDP. In the IEESA'S, additions to reserves raise
capital formation, profits, GDP, and NDP. Recognizing the additions to reserves thus deals with
the third point of asymmetry. If the additions
amounted to 150, the economy would be pictured
as follows:
Wages
Plus: Profits (IEESA)
Of which: Capital formation in mineral
reserves
Depreciation
Depletion
Gross domestic product (IEESA)
,
Less: Depreciation
Depletion
Net domestic product (IEESA)
6,000
3)050
150
1,000
100
10,150
1,000
100
9,050
Compared with the traditional accounts, both
the composition and level of GDP differ. Thus,
the IEESA'S give a view of an industry's production that reflects changes in its resource base.
The IEESA'S measure of NDP, therefore, is a better
measure of sustainable income than the traditional accounts' measure because it incorporates
changes in mineral wealth as well as structures
and equipment. Whether the IEESA'S measure of
NDP is higher or lower than in the traditional
accounts depends on whether depletion or additions is larger, and this will vary from resource
to resource and from period to period. Estimates
of this kind for all natural and environmental
resources would help gauge whether the current
level of GDP can be maintained by the Nation's
natural resource base.
Detail that highlights the interaction.—In the
IEESA^, the standard economic accounting categories are disaggregated to show detail that
highlights the interaction of the economy and
the environment. For example, the expenditures
detail shows spending by households, government, and business to maintain or restore the
environment. The asset detail shows environmental management (conservation and development, and water supply) and waste-management
projects (sanitary services, air and water pollution abatement and control) within the standard
category of nonresidential fixed capital.
The estimating requirements underlying these
two main structural features of the IEESA'S are apparent in the IEESA tables, even when, as shown
in this article, they are in skeleton form. Table 1,
an asset account, and table 2, a production account, use modified forms of tables presented in
the SEEA.
Asset accounts
Integrated economic and environmental accounting requires the measurement of stocks and flows
related to assets, which are presented in an asset
account. An asset account is like a balance sheet
in that it presents stocks, or holdings, at a point
in time. (Because an asset account is limited to
nonfinancial assets, it does not include liabilities
and net worth, as would a balance sheet.) However, an asset account also presents flows related
to the assets during a period of time.
The IEESA'S provide a complete accounting for
the relevant assets—that is, they show both stocks
and flows associated with changes in those stocks.
Column 1 in table 1 provides for estimates of
opening stocks. Columns 2-5 provide for estimates of the flows that represent different kinds
of changes in the stock: First, a net total and
then three flows: The decrease in stocks due
to depreciation (or more formally, in economic
accounting terms, consumption of fixed capital), depletion, or degradation; the increase in
stocks due to capital formation in the form of
new structures and equipment, additions to inventories, additions to the stock of natural and
environmental assets; and changes in value due
to price changes and to changes in the volume
of assets other than those due to economic activity (for example, natural disasters). Column 6
provides for estimates of closing stocks.
Table 1 presents the nonfinancial assets that
BEA would try to include in IEESA asset accounts.
The table's rows generally follow the subcategories of the SNA 1993 and the SEEA, but some of
April 1994 • 41
SURVEY OF CURRENT BUSINESS
the subcategories are regrouped to broaden both
the production boundary and the definition of
assets. Nonfinancial assets are divided into made
assets, developed natural assets, and environmen-
tal assets. Made assets, which largely replicate the
scope of nonfinancial assets in traditional income
and wealth accounts, are subdivided into fixed assets and inventories. Developed natural assets are
Table i-IEESA Asset Account, 1987
[Billions of dollars]
This table can serve as an inventory of the estimates currently available for the lEESA's. In decreasing order of quality, the estimates that have been filled in are
as follows: For made assets, estimates of fixed reproducible tangible stock and inventories, from BEA's national income and product accounts or based on them,
and pollution abatement stock, from BE A estimates (rows 1-21); for subsoil assets, the highs and lows of the range based on alternative valuation methods, from
the companion article (rows 36-41); and best-available, or rough-order-of-magnitude, estimates for some other developed natural assets (selected rows 23-35 and 4247) and some environmental assets (selected rows 48-55) prepared by BEA based on a wide range of source data described in this article. The "n.a."—not availableentries represent a research agenda.
Change
Row
(D
Total, net
(3+4+5)
Depreciation,
depletion,
degradation
Capita!
formation
Revaluation and
other changes
(2)
Opening stocks
(3)
(4)
(5)
Closing stocks
(1+2)
(6)
PRODUCED ASSETS
11,565.9
Made assets .
Fixed assets
Residential structures and equipment, private and government
Fixed nonresidential structures and equipment, private and government
Natural resource related
Environmental management
Conservation and development
Water supply facilities
Pollution abatement and control
Sanitary services
Air pollution abatement and control
Water pollution abatement and control
Other
Inventories1
Government
Nonfarm
,
Farm (harvested crops, and livestock other than cattle and calves) .
Corn
Soybeans
All wheat
Other
Developed natural assets
Cultivated biological resources
Cultivated fixed natural growth assets
Livestock for breeding, dairy, draught, etc
Cattle
Fish stock
Vineyards, orchards
Trees on timberland
Work-in-progress on natural growth products
Livestock raised for slaughter
Cattle
Fish stock
Calves
Crops and other produced plants, not yet harvested
Proved subsoil assets2
Oil (including natural gas liquids)
Gas (including natural gas liquids)
Coal
Metals
Other minerals
Developed land
Land underlying structures (private)
Agricultural land (excluding vineyards, orchards)
Soil
Recreational land and water (public)
Forests and other wooded land
667.4
-607.9
905.8
369.4
12,233.3
10,535.2
4,001.6
6,533.6
503.7
241.3
152.7
88.5
262.4
608.2
318.1
290.1
-607.9
-109.8
-498.1
-19.2
-7.0
-4.4
-2.5
875.8
230.5
645.3
30.3
10.6
5.3
5.3
19.7
13.7
3.5
2.6
615.0
340.2
197.4
142.9
12.0
4.7
2.7
2.0
7.3
4.8
1.3
1.2
130.9
11,143.4
4,319.7
6,823.7
526.8
249.6
156.4
93.3
277.1
185.8
45.9
45.5
6,296.9
30.1
29.2
3.8
1,090.0
191.7
859.7
38.6
10.5
172.9
45.3
44.2
6,029.9
23.1
8.4
3.6
4.8
14.7
12.8
.6
1.3
267.0
-12.2
-5.6
-4.1
-2.5
-478.9
59.3
6.8
62.4
1,030.7
184.9
797.3
48.5
10.2
5.0
2.6
30.7
-10.1
-6.9
4.9
2.6
20.6
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
12.9
n.a.
2.0
288.8
n.a.
n.a.
24.1
n.a.
5.0
1.8
n.a.
n.a.
n.a.
2.0
n.a.
.2
47.0
n.a.
n.a.
7.5
n.a.
.9
.3
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
-6.9
n.a.
n.a.
n.a.
-.3
n.a.
0
9.0
n.a.
n.a.
0
n.a.
-.5
.1
n.a.
n.a.
n.a.
2.3
n.a.
.2
44.9
n.a.
n.a.
7.5
n.a.
1.4
.2
n.a.
n.a.
n.a.
14.9
n.a.
2.2
335.7
n.a.
n.a.
31.6
n.a.
5.9
2.1
-16.7 <-> -61.6
-5.1 <->-30.6
-5.6 <->-20.3
-5.4 ^ -7.6
16.6 <-> 64.6
5.8 *-> 34.2
58 <->-119.6
-23.1 <-»-88.3
8.1 <->-51.8
3.2 <-> -2.1
65.2 <-» 22.5
299.4 <-> 950.3
35.7 <-> 241.2
49.4 <-> 202.2
143.0 <-> 204.2
38.5 *-> 244.8
32.8^57.9
n.a.
4,306.3
483.7
n.a.
n.a.
314.6
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
270.0 <-• 1066.9
58.2 <H> 325.9
42.7 <-» 259.3
140.7 <-> 207.7
H<-> 215.3
28.4 <H> 58.7
2.9
32.7
-5.5
-9.9
.3
-1.1
-.1
0
57.8 <->-116.6
-22.5 <->-84.7
6.6 ^ -57.2
2.2 e> -3.4
67.2^29.5
4.3 <-> -.8
n.a.
4,053.3
441.3
n.a.
n.a.
285.8
n.a.
253.0
42.4
n.a.
n.a.
28.8
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
-1.0
-.2
-3.2
4.1 <-> 14.9
4.4 <-> 6.3
2.2 <^ 9.2
29.7
-4.4
1.4
.9
.2
n.a.
n.a.
n.a.
—5
-9
n.a.
n.a.
n.a.
-2.8
n.a.
.9
-.6
n.a.
n.a.
45.2
n.a.
n.a.
29.4
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
19.9
38.7
27.1
n.a.
n.a,
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
NONPRODUCED/ENVIRONMENTAL ASSETS
Uncultivated biological resources
Wild fish
Timber and other plants of uncultivated forests
Other uncultivated biological resources
Unproved subsoil assets
Undeveloped land
Water (economic effects of changes in the stock) .
Air (economic effects of changes in the stock)
n.a. Not available.
* The calculated value of the entry was negative.
1. The estimate for inventories differs from the NIPA estimate by the amount of government inventories added
and cattle and calves shown separately. In full implementation of the IEESA account, farm inventories would include
n.a.
n.a.
n.a.
n.a.
-19.9
-38.7
-27.1
only harvested crops.
2. The estimates in all columns result from tne valuation method (see text for further discussion of the alternative
methods) that produces the low and high estimates of opening stocks.
NOTE.—-Leaders indicate an entry is not applicable.
42 • April
SURVEY OF CURRENT BUSINESS
subdivided into cultivated biological resources,
proved subsoil assets, and developed land. Environmental assets are subdivided into uncultivated
biological resources, unproved subsoil assets, undeveloped land, water, and air (the last two in
terms of the economic effects of changes in the
stock).
Made and developed natural assets.—To better
highlight the interaction of the economy and
the environment, table 1 provides more detail
on natural resource and environmentally related
produced assets than the traditional income and
wealth accounts. Within made assets, nonresidential fixed capital is disaggregated into environmental management (conservation and development, and water supply) and waste-management
projects (sanitary services, air and water pollution
abatement and control). Detail is also provided
on farm inventories of finished goods.
Within cultivated biological resources, table 1
provides detail beyond that contained in the traditional accounts, such as cultivated fixed natural
growth assets (for example, livestock), and categories not included in the traditional accounts
(for example, trees on timberland).
The treatment of proved subsoil assets and
cultivated land in table 1 differs from the SEEA
treatment. Proved reserves are generally defined
as those reserves that are proved to a high degree
of certainty—by test wells or other test data—and
are recoverable under current economic conditions and with current technology. In the SEEA,
they are classified as nonproduced assets. In table 1, these assets, along with cultivated natural
growth assets, are included in the category "developed natural assets." As will be illustrated
in the production accounts, capital formation
that adds to the stock of these assets—both by
bringing undeveloped or uncultivated assets into
the category of developed natural assets and by
adding to their value within that category—is
treated in a manner similar to capital formation that adds to the stock of structures and
equipment.
This treatment was adopted because it is difficult to rationalize describing proved reserves
and cultivated land as "nonproduced" natural assets when expenditures are required to prove or
develop them. Agricultural land, for example,
must be "produced" in that expenditures must
be undertaken to convert uncultivated land areas into commercially valuable farmland, which
yields a return over a number of years. Wetland areas, if they are to become farmland, must
be drained and graded and vegetation cleared.
Unproved mineral reserves also require expenditures for test wells, engineering studies, and other
exploration and development investments before
they are recorded as proved reserves.
Similar treatments of these developed natural assets and made assets facilitate consistent
treatment of capital formation of natural assets and more conventional capital formation,
such as investment in structures and equipment.
Under this treatment, as mineral reserves, for
example, are proved, the total value of the produced assets—structures and equipment as well
as the proved reserve's value—is included as capital formation. Similarly, as oilfield machinery is
depreciated, proved reserves associated with the
machinery are depleted.
The other major difference between developed
assets in table 1 and in the comparable SEEA
presentation is in the treatment of soil. In the
SEEA, soil—that is, productive soil on agricultural
land—is treated as separate from agricultural
land. In table 1, soil is a subcategory of agricultural land because the value of agricultural land is
inseparable from the value of the soil. Available
estimates suggest that the effect of soil erosion, or
depletion, on agricultural productivity and land
values in the United States is quite small. Nevertheless, though soil is not treated separately, it
is shown separately because its erosion has a significant effect on environmental quality through
its effect on water quality.
Environmental assets.—This grouping includes
natural assets with significant economic value
that differ from developed natural assets in that
they are generally used as raw inputs into production in their natural state, either as intermediate products or as investments. For example,
uncultivated biological resources, such as tuna
harvested from the ocean, are included as environmental assets, whereas cultivated biological
resources, such as rockfish raised on a fish farm,
are included in developed assets. Other categories in environmental assets are uncultivated
land, unproved subsoil assets, water, and air.
The inclusion of unproved subsoil assets broadens the definition of subsoil assets to include reserves that, though unproved, have an economic
value over and above that of other undeveloped
land because of their location or geologic characteristics. As capital expenditures are made to
"prove" these properties, they move from nonproduced to produced assets. This broader definition of subsoil resources will facilitate longer
term planning and analysis of the use of mineral
resources. The stock of proved reserves—like the
SURVEY OF CURRENT BUSINESS
stock of drill presses—can be expanded by additional investment; hence, firms will keep on hand
the stock of reserves dictated by current market
prices, finding costs, and interest rates. Thus,
complete analysis of mineral resources requires
consideration of unproved, as well as of proved,
reserves.
In a distinction similar to that between proved
and unproved subsoil assets, cultivated land—
such as agricultural land, parkland, and land
underlying buildings—is included in developed
natural assets, whereas uncultivated land—such
as wetlands and forestland (not included as
timberland)—is included in environmental assets. The agricultural land must be developed
before it can be used as farmland, whereas wetlands are used—for example, for their disposal
services—in their natural state by the economy.
Water, which is subdivided by type, and air also
provide services to the economy in the form of
recreational and waste disposal services.
Although these environmental assets differ
from made and developed natural assets, investments that add to the stock of these assets,
as noted below in the production accounts, are
treated symmetrically with investments that add
to the stock of structures and equipment and of
developed assets. These investments, for example, include pollution abatement and control to
improve the quality and waste disposal capacity of the air and water, or at least to offset the
degradation/depletion (which is also recorded in
the production account) occurring in the current
period. These investments represent a decision
by the economy to devote its resources to investments that improve air and water quality, rather
than investments in structures and equipment,
and investments that add to the stock of clean air
and water should be counted just as investments
that add to the stock of made and developed
assets are counted.
duced assets, reflecting the increasing conceptual
and empirical difficulties in producing such estimates. The estimates may be best regarded as a
measure of the work to be undertaken; they are
presented here to serve as a road map for areas in
which source data and estimating methods must
be developed or improved,,
Within made assets, the estimates of nonresidential stocks of pollution abatement (PA)
structures and equipment are constructed using
the same perpetual inventory techniques used
to produce BEA'S exiting capital stock estimates
(see the box on page 44). These stock estimates capture nonresidential investments for PA
that are readily identifiable. When companies
and plants change their production processes (or
equipment) to embody PA features, the PA portions of these investments are included to the
extent they can be identified; however, identification is difficult, and understatement of PA
stocks can occur. Estimates of government inventories are from unpublished NIPA data. For
inventories owned by the Federal Government,
the estimates are based on information on inventories from Federal agencies. For State and
local governments, the estimates are based on
the level of their purchases of nondurable goods;
it is assumed that they hold 1 month of these
purchases in inventories. The farm inventories
of finished goods for agriculture are extensions
of the existing inventory data in the NIPA'S (following the IEESA, crops not yet harvested are
shown as work-in-progress). Stock estimates for
several components that would be of interest in
the household sector, such as PA equipment in
consumer durables and residential capital (for example, PA equipment installed in cars and septic
systems in homes), are not available.
Within developed natural assets, most of the
estimates are an extension of the existing national
accounts data. The existing accounts include esEstimates: Coverage, sources, and methods.—-The timates for livestock only, with no split between
estimates recorded for 1987 in table 1 should be
those raised for breeding, dairy, or draft (culregarded as rough-order-of-magnitude, or besttivated fixed natural growth assets) and those
available, estimates. (The estimates are for 1987
raised for slaughter (work in progress on natural
because that is the last year for which data from
growth products). In table 1, these splits were
the quinquennial economic census—-used in a
made using assumptions based on data from the
number of cases as a benchmark from which to
U.S. Department of Agriculture (USDA). The esestimate forward and backward-—are available.)
timates of the value of vineyards and orchards
In most cases, only one estimate, rather than
are based on Federal Reserve Board estimates of
a range, is available. Many of the table's cells
the value of agricultural land and estimates of the
do not contain estimates, and the quality of the
acres of land in vineyards and orchards from the
estimates varies greatly. In general, the quality
Bureau of the Census. Estimates of the value of
and availability of the estimates declines as one
fish stocks or of changes in these stocks are not
moves down the rows from produced to nonproyet available (and are in phase 11 of BEA'S plan).
April 1994 •
43
44
• April 1994
SURVEY OF CURRENT BUSINESS
The values of trees on timberland were estimated based on stumpage value estimates provided by the U.S. Forest Service's Pacific Northwest Research Station. The stumpage value estimates are based on the concept of net rent to the
timber stand—as distinct from the land the forest
sits upon—and are derived mainly from private
market data on payments for logging rights. As
such, they should correspond to the present discounted value of the timber sales from the tract
less the costs of logging, access, transportation,
and processing. All timber on timberland in the
United States—public and private—is included
in this category. Timber on other forestland
is included in nonproduced/environmental assets. This somewhat arbitrary distinction is made
partly on conceptual grounds and partly on the
availability of source data. All timber in the national forests is in a sense managed, although
depending on the forest, management ranges
from active, such as planting, to relatively passive,
such as self-seeding, fire control, and rotational
harvests. Practically, no data are available for the
exact definition of "cultivated timber tracts."
Stock of Plant and Equipment for Air and Water Pollution Abatement in the United States, 1980-91
This box presents estimates of the gross and net stocks of plant
and equipment (P&E) for air and water pollution abatement (PA) in
the United States during 1980-91. Gross and net stocks of PA P&E
help to protect air and water from degradation by stationary and
point industrial sources of pollutant emissions.
In 1991, the gross stock of air and water PA P&E was about $183.5
billion (table A).2 In constant (1987) dollars, the gross stock was
$165.0 billion in 1991, about 2.0 percent of the real gross stock of
all fixed nonresidential nonfarm business capital. Between 1980 and
1991, the real gross stock of air and water PA P&E grew at an annual
rate of 2.6 percent. Growth in nonmanufacturing stocks outpaced
that in manufacturing stocks, mainly reflecting PA P&E spending by
electric utilities. The real net stock of air and water PA P&E—that
is, after subtracting depreciation—was $91.3 billion in 1991, up from
$85.8 billion in 1980.
The PA P&E stock estimates are useful when studying market production and economic well-being. They are helpful in determining
how pollution abatement spending affects prices, total capital costs,
and the profitability of capital. They are also helpful in constructing
rough measures of the value of the degradation in air and water
quality that has been avoided through pollution abatement.
The 1980-91 PA P&E estimates were prepared by the perpetual
inventory method: Past PA P&E flows (capital spending) were cumulated and discards deducted, in accordance with lifespans of capital
goods, to arrive at gross stocks of PA P&E. Net stocks were calculated
by subtracting accumulated depreciation from gross stocks. Gross
and net stock estimates for 1980-91 are valued at constant and at
current cost—that is, using 1987 prices (for constant cost) and replacement or current-year prices (for current cost).
Data on an establishment basis for manufacturing PA P&E spending
are mainly from the Pollution Abatement Costs and Expenditures
(PACE) Survey by the Bureau of the Census. Data for electric util-
ities are mainly from the Pollution Abatement (PA) Supplement to
the Census Bureau's P&E survey; the PA Supplement reports PA P&E
spending for three industries—electric utilities, petroleum, and mining. The PA Supplement reports PA P&E on a company basis, but
for electric utilities (unlike for petroleum and mining), such data
approximate an establishment basis. The PA P&E spending estimates
for mining and for nonmanufacturing except mining and electric
utilities are prepared by indirect methods; a variety of data sources
are used, including the PA Supplement, an environmental protection
expenditures survey by the American Petroleum Institute, and the
Census of Mineral Industries.
Table A.—Gross and Net Stocks of Air and Water Pollution
Abatement Plant and Equipment in Nonfarm Business, by
Major Industry Group, Current-Cost and Constant-Cost Valuations,
1980-91
Gross stocks
All nonfarm
industries
3. Stocks other than for PA P&E also protect air and water. Examples include stocks
of PA devices and systems on mobile (for example, motor vehicles) and nonindustrial
pollutant sources (for example, public sewer systems and septic systems), as well as PA
features of solid waste management systems. Estimates for these kinds of stocks are not
available.
Manufacturing
Total
Durables
Nondurables
All nonNonfarm
manufactur- industries
ing
Total
Nonmanufacturing
Durables
Nondurables
15.94
17.56
17.80
17.20
16.86
16.60
16.26
16.07
15.97
16.07
16.25
16.71
21.71
23.39
23.95
23.48
22.95
22.47
21.99
22.08
22.68
23.47
25.49
28.46
33.49
38.60
42.70
45.75
48.66
49.97
51.24
53.23
55.21
56.13
56.44
56.40
19.22
19.38
18.95
18.03
17.32
16.81
16.36
15.81
15.19
14.93
14.86
15.05
26.42
26.15
25.76
24.76
23.68
22.81
22.14
21.71
21.57
21.82
23.35
25.64
40.16
43.31
46.22
48.06
49.98
50.91
51.61
52.00
51.80
51.40
51.15
50.63
Biliions of current dollars
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
.
.
.
.
.
.
.
.
.
.
.
1. For air PA, the Clean Air Act classifies the sources of pollutants as mobile (for
example, automobiles) or stationary (for example, factories). For water PA, the Federal Water Pollution Control Act classifies sources of pollutants as point (for example,
factories) or nonpoint (for example, highway construction projects).
2. The stock estimates in table A are part of a new establishment-based series for
i960 forward, BEA is planning a SURVEY OF CURRENT BUSINESS article for later this
year to present such PA P&E stock estimates for selected industries and to present their
related capital flows through 1992, The new stock series replaces a series prepared on a
company (or enterprise) basis.
Net stocks
Manufacturing
103.43
118.66
129.00
135.72
142.68
147.25
151.04
157.59
165.04
170.82
176.91
183.50
58.78
66.31
70.16
71.37
72.85
73.83
74.05
75.59
77.73
79.69
82.83
87.02
24.55
28.04
29.72
30.25
31.05
31.70
31.96
32.56
33.26
33.83
34.28
34.84
34.24
38.27
40.43
41.12
41.80
42.14
42.08
43.03
44.48
45.86
48.55
52.18
44.65
52.35
58.84
64.35
69.83
73.41
77.00
82.00
87.30
91.13
94.07
96.48
71.14
79.54
84.46
86.43
88.47
89.05
89.49
91.38
93.86
95.67
98.19
101.58
37.65
40.94
41.76
40.67
39.81
39.07
38.24
38.15
38.65
39.54
41.75
45.17
Billions of constant (1987) dollars
E
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
.
.
.
.
.
.
,
.
.
.
124.67
132.26
138.61
142.56
146.66
149.58
152.08
154.47
155.86
157.52
161.03
164.97
71.13
73.56
74.96
74.97
74.94
74.81
74.53
74.36
73.93
74.05
75.76
78.36
29.55
30.91
31.59
31.67
31.86
32.07
32.16
32.04
31.62
31.42
31.31
31.37
41.57
42.66
43.36
43.30
43.08
42.74
42.37
42.32
42.31
42.63
44.45
47.00
53.54
58.70
63.66
67.58
71.72
74.77
77.55
80.11
81.93
83.48
85.27
86.60
85.79
88.84
90.92
90.85
90.98
90.52
90.12
89.52
88.55
88.16
89.36
91.31
45.64
45.54
44.71
42.79
41.00
39.62
38.50
37.53
36.76
36.75
38.20
40.69
SURVEY OF CURRENT BUSINESS
For proved subsoil assets5 the estimates shown
are the highs and lows of ranges presented, along
with a description of the sources and methods
used to prepare them, in the companion article
beginning on page 50. The estimates represent
the range of differences associated with common methods for valuing nonrenewable natural
resources.
The estimates within the category "developed
land" are of uneven quality. The estimates of
the value of agricultural land are relatively good
and are based on USDA estimates of farm real
estate values less BEA estimates of the value of
farm structures. Soil estimates, from the USDA,
reflect the annual effect of soil depletion in terms
of extra fertilizer costs and reduced productivity. The estimates of residential land, included
in table 1 as part of land underlying structures,
also are of reasonable quality. The estimates of
the other private land underlying structures are
of more uncertain quality. The Federal Reserve
Board produces these estimates of land values by
taking estimates of real estate values from a variety of sources and subtracting BEA'S estimates
of the value of nonresidential structures. The
Federal Reserve's estimates of real estate values
are based, in part, on less than comprehensive
price indexes; they do not, for example, appear
to cover adequately the value of mineral tracts,
timberland, or industrial buildings and land.
BEA'S estimates of nonresidential structures are
based on perpetual inventory methods—with assumed depreciation schedules and replacementcost indexes—and may therefore differ from the
current market value of the structures included
in the real estate estimates. Although over longer
periods of time the perpetual inventory estimates
are of good quality, during periods of declining
or rapidly increasing real estate values, they may
produce unreasonable results. Also, to the extent that the value of natural resource assets are
not included in the real estate price indexes, the
overall value of developed land will be over- or
under-stated according to the path of natural resource prices relative to commercial and other
land values.
The SEEA recommends that national parks be
classified as uncultivated land because their protection, and not their use, is the main function
of governmental regulation. However, because
these parks are extensively maintained, improved
upon, and used by consumers for recreation,
they are included in recreational land in table 1.
The estimate of capital formation in recreational
land is based on Federal Government mainte-
nance and repair expenditures for parks; State
and local expenditures are not available. It is
assumed that these expenditures exactly offset
the degradation/depletion of recreational land;
in the case of recreational land, the only estimates available were of maintenance and repair
expenditures. This assumption is made only so
that both investment and degradation/depletion
estimates are illustrated by the table and not
to imply any judgment about the true value of
degradation/depletion. (Phase 11 and 111 of BEA'S
work plan, described in the next section, includes
work to build on the damage assessment and
recreational valuation literature to construct estimates of the market value of recreational and
environmental amenities.)
For environmental assets, the estimates are
more uncertain than even the most uncertain estimates for developed land and proved reserves
of subsoil assets. Indeed, most of this section of
the table, especially that for renewable natural resources, is shown with "n.a." for "not available."
No value is available for the stock of undeveloped land and its associated ecosystems, for
unproved subsoil assets, and for uncultivated biological resources (wild animals and fish, plants,
and forests).
Compared with the accounting for proved
reserves of nonrenewable resources, where the
economic literature extends back over 50 years,
valuation methods and concepts for many of the
renewable resources are less well developed. Renewable natural resources are inherently more
difficult to value than nonrenewable natural resources for several reasons: Renewable resources,
such as stocks or schools of wild fish, often have
a commercial or production value as well as an
amenity or a recreational value; often, ownership
rights cannot be established, and they cannot be
sold; and they are able to regenerate, so their use
does not necessarily result in a net reduction in
either their yield or the value of their stock.
These difficulties notwithstanding, there has
been rapid progress in environmental-benefit valuation for renewable natural resources in recent
years as economists have tried to keep pace with
regulatory, legal, and policy needs for environmental damage and impact measures. Further
work by BEA to translate these new concepts and
measures into a consistent national framework
would need to rely heavily on the expertise of
other units within the U.S. Government—for example, the National Oceanic and Atmospheric
Administration, the Environmental Protection
Agency, USDA, and the Department of Interior.
April 1994 •
45
46 • April 1994
SURVEY OF CURRENT BUSINESS
The SEEA does not recommend that the stock of
air—which is truly a global common—or water
be valued; instead, it recommends that valuation
be limited to changes in these assets—their degradation and investments in their restoration. For
these assets, table 1 includes only aggregate values for the degradation of air and water and for
expenditures to restore them or to prevent their
degradation.
The estimates in table 1 for degradation of air
and water quality—as well as for undeveloped
land—are simply place markers that assume that
maintenance exactly offsets degradation: They
are aggregate estimates of the total costs of pollution of these media. The estimates for air, water,
and undeveloped land pollution are estimates,
from the Environmental Protection Agency, of
the direct costs of public and private pollution
control activities in the United States. Estimates
of air pollution include the annualized costs of
air pollution and radiation. Water pollution estimates are the annualized costs of maintaining
water quality, including drinking water. Estimates of undeveloped land pollution are the
annualized costs associated with Superfund, toxic
chemicals, and pesticides. The estimates of costs
to restore or prevent the degradation of the environment (which, as noted earlier, are treated
as capital formation in that they offset degradation and depletion of air, water, and undeveloped
land) are based on current PAC expenditures and
the flow of services from the stock of PA equipment and structures (the estimated return on
the net stock plus depreciation). (Note that
these direct PAC costs differ from the environment
cleanup and waste disposal service costs discussed
later in the article. These costs are indirect costs
imposed by pollution in the form of health costs,
higher maintenance and repair expenditures, or
longer trips to reach clean recreational sites.)
Production accounts
The next step in integrating economic and environmental accounting is to combine the appropriate flows from the asset account with the flows
in a production account. With this integration,
the production account explicitly includes the use
of natural resources and environmental services
in production through entries for depletion and
degradation, and it explicitly includes the additions to the stock of natural and environmental
assets through entries for investments that add
to stocks of developed natural resources or that
restore stocks of environmental assets.
Table 2 combines features of the supply and
use tables in the SNA 1993. The table has four
quadrants (one empty, except for a total), which
are separated by double lines; a total column at
the far right; and a total row at the bottom. The
left and right upper quadrants show the use of
goods and services (commodities) named at the
beginning of the rows, summing to total uses as
measured by total commodity output. The lefthand upper and lower quadrants show the use of
intermediate inputs and factors of production by
the industries named at the top of each column,
summing to total supply as measured by total
output.
A more typical supply and use table would
show substantial industry and commodity
detail—often a hundred of more industries and
commodities. For the purposes at hand, this detail has been collapsed into an "other industries"
column (column 3) and "Other" rows (rows 6
and 13). Detail is provided where it is especially
relevant to the analysis of the environment. Such
a table provides a bird's-eye view of production,
income, and consumption, as highlighted in the
paragraphs that follow.
Columns 1-4 in the upper left quadrant record
the use of commodities by domestic industries
in the production of other commodities—that
is, intermediate use. Columns 5-9 record the
use of commodities across the final demand categories that make up gross domestic product,
including final consumption by households and
government. Column 7 records the estimates
in the "capital formation" column from table 1.
(The made assets are recorded in rows 1-13, the
developed natural and environmental assets in
rows 14-24.)
In the left quadrants, rows 11-13 show the use of
other commodities (that is, other than assets) as
intermediate inputs. These commodities consist
of expenditures for environmental cleanup and
waste disposal services (row 12) and "other" (row
13). Total intermediate inputs used by industries
are in row 25. Rows 26-41 record value added,
or income. Rows 26-28 record the value added in
the form of compensation of employees, indirect
business taxes, and corporate profits and other
property income. Rows 29-32 record, from table 1, the use of made fixed assets, including the
depreciation of structures and equipment used
in environmental management (row 30) and in
PAC (row 31). Rows 33-41 record the use of fixed
natural and environmental assets, with depletion
and degradation of each of the eight categories
of assets shown separately.
SURVEY OF CURRENT BUSINESS
The estimates presented in table 2 are taken
from table 1. As is indicated by the "n.a."—
not available—in the table, many valuation and
measurement issues remain before an IEESA production account can be completed. Further,
work toward filling in the estimates would proceed in tandem with work on modernizing BEA'S
national accounts in line with the SNA (see the
next section). For example, treating expenditures on government structures, equipment, and
April 1994
• 47
inventories as capital formation implements a
feature of the SNA. In the table, a "Z" indicates
the estimates that would reflect both work toward
the IEESA'S and SNA-related changes.
In addition to a production account such as
table 2, the SEEA calls for parallel quantity tables. Further, because many environmental issues
have their primary impact on specific regions or
industries, the extension of the integrated national accounts aggregates within BEA'S regional
Table 2.-IEESA Production Account, 1987
[Billions of dollars]
Final uses (GDP)
Industries
Row
Total
(2)
(4)
(1)
(3)
Government
(5)
(6)
Gross domestic
capital
formation
Exports
Imports
(7)
Household
GDP
(5+6+7+
8-9)
(8)
(9)
(10)
Total
commodity
output
(4+10)
(11)
Final consumption
Mining,
Agriculutilities,
ture, forwater,
Other
estry,
and san- industries
and fishitary
eries
services
COMMODITIES
Made
Assets
Fixed assets
Environmental manaaement
Pollution abatement and control
Other
Inventories
Government
Nonfarm
Farm
Other
Environmental cleanup and waste disposal services
Other
1
2
3
4
5
6
7
8
9
10
11
12
13
Natural and environmental assets
Fixed
Cultivated biological resources: Natural growth
Proved subsoil assets
Developed land
Uncultivated biological resources: Natural growth
Unproved subsoil assets
Undeveloped land
Water
Air
Work-in-progress inventories (natural growth products)
14
15
16
17
18
19
20
21
22
23
24
Total intermediate inputs
25
(#)
(#)
(#)
(#)
Compensation of employees
Indirect business taxes etc
Corporate profits and other property income
26
27
28
(#)
(#)
(#)
(#)
(#)
(#)
(#)
Depreciation of fixed made assets: Structures and
equipment
Environmental management
Pollution abatement and control ...
Other
29
30
31
32
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
-607.9
-7.0
-12.2
-588.7
Depletion and degradation of fixed natural and
environmental assets
Growth products' Fixed
Proved subsoil assets
Developed land
Uncultivated biological resources
Unoroved subsoil assets
Undevelooed land
Water
Air
33
34
35
36
37
38
39
40
41
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
-16.7 <->-61.6
n.a.
n.a.
n.a.
-19.9
-38.7
-27.1
Gross value added (GDP) (rows 26+27+28+29+33)
Depreciation, depletion, and degradation (rows 29+33)
Net value addea(NDP) (rows 42-43)
42
43
44
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
n.a.
45
(#)
(#)
(#)
(#)
8
8
(((###)))
((##))
((##))
((##))
8
8
((##))
((##))
((##))
(#)
(#)
(#)
(#)
905.8
905.8
875.8
10.6
19.7
845.5
30.1
2.9
32.7
-5.5
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
(#)
n.a.
n.a.
n.a.
n.a.
n.a.
166<->646
n.a.
n.a.
n.a.
19.9
38.7
27.1
n.a.
VALUE ADDED
TOTAL INDUSTRY OUTPUT
8
n.a. Not available.
# These estimates will depend on the integration of the System of National Accounts and the System of Environmental and Economic Accounting as part of the overall modernization of BEA's economic accounts.
(#)
(#)
(#)
NOTE.—Leaders indicate that an entry is not applicable.
GDP Gross domestic product
NDP Net domestic product
(#)
(#)
(#)
(#)
S
#)
#)
#1
(#)
(#)
(#)
(#)
(#)
(#)
(#)
(#)
8
((##))
((##))
((##))
(((###)))
((##))
(#)
8
((##))
(((###)))
(((###)))
((##))
(#)
(#)
(#)
48 • April 1994
SURVEY OF CURRENT BUSINESS
and input-output programs is an important
extension.
Uses of the new accounts
Integrated economic and environmental accounts
are the subject of intense interest, and expectations may differ from actual results. Among
some observers, especially those extrapolating
from studies conducted in resource-dependent
developing economies, there is an expectation
that such accounts will show that U.S. economic
growth as currently measured is not sustainable,
because the stocks of natural and environmental resources that ultimately determine economic
growth are being run down. This expectation
may well stem from focusing on depletion and
degradation to the exclusion of additions.
The IEESA'S will help to identify the use of the
various natural and environmental resources. A
priori, however, it is difficult to say whether there
will be a net reduction or increase in their value
overall. For example, while it is almost certainly
true that the economic value of the stocks of
some assets, such as bluefin tuna, are declining,
the stocks of other environmental assets, such as
timber stocks, have been increasing as planting
and growth have more than offset harvests, fire,
and land conversions. Similarly, while losses of
wetlands from development continue to outnumber gains from wetland restorations, increasing
rates of investments in cleaner air and water since
the mid-i97o's appear to have resulted in net improvements in air and water quality; many of the
measures of air and water quality, such as the ambient concentrations of air and water pollutants,
have shown improvement.
Because of these offsetting changes, it is conceivable that when all entries in table 2—or if
not all, at least enough more than at present
to avoid risks of conclusions based on partial
results—have been filled in, the table will show
that IEESA NDP differs little from traditional NDP.7
Nevertheless, the information about specific natural resources and specific industries, products,
or regions will provide valuable insight about
7. There are also conceptual limitations to using NDP as the indicator of
sustainable growth, NDP shows only the level of product, which cannot reflect
much information about sustainability. The rate of change of NDP over time
is more useful, but even this is not a clear indicator, because changes in NDP
reflect changes in the rates of consumption, government expenditure, and
net exports as well as net capital formation.
A measure that may be more useful as an indicator of sustainable growth
is the net savings rate, which is affected only by changes in the rate of investment in, and the consumption of, fixed capital. If the savings rate—adjusted
to reflect additions to, and subtractions from, natural as well as produced
assets—is positive, then growth can be considered sustainable. (Because this
assumes a high degree of substitutability between produced and natural assets,
some refer to this concept as "weak sustainability.")
sustainability and the implications of different
regulations, taxes, and consumption patterns. In
the United States, such information should prove
useful in a wide range of policy issues.
Economic accounts do not provide normative data. They either report market values or
proxies for market values. If a problem with
property rights leads to the undervaluation and
overexploitation of a resource, a set of integrated
economic accounts will not reveal the "right"
price or the "correct" level of stocks. They will,
however, provide the data—for example, about
changes in the value of the stocks and the share of
income to be attributed to the resource—needed
for objective analysis of the problem.
Plan for Natural Resource and
Environmental Accounting
BEA'S
BEA'S plan calls for work on the IEESA'S to be
undertaken in conjunction with modernizing its
economic accounts, BEA'S national accounts are
now undergoing the first major redesign since
the 1950's. The redesign, which will be along the
lines of the SNA 1993, will feature an integrated
set of current and capital accounts, sector by sector. Fully developed capital accounts, along with
balance sheets, are essential for a comprehensive
set of economic accounts. The conceptual work
on these accounts and the more specialized work
on natural resources and the environment will be
mutually supporting. Further, to make reasoned
policy choices involving trade-offs among kinds
of capital, one would want a view of the total
capital stock—natural and made—consistently
covered and appropriately valued.
BEA has developed a three-phase plan for the
IEESA'S. With this issue of the SURVEY, BEA has
completed the first phase of work.
Phase I: Overall framework and prototype estimates
.—The overall IEESA framework is designed to
build upon the existing national accounts and is
in line with the guidance embodied in the new
international SNA about a satellite system and the
companion SEEA.
In its initial work, BEA has focused on mineral resources, consisting of oil and gas, coal,
metals, and other minerals with a scarcity value.
As described in the companion article, the focus, in accordance with SNA recommendations,
is on proved reserves, the basis for valuation
is market values, and the treatment given mineral resources—which require expenditures to
prove and which provide "services" over a long
SURVEY OF CURRENT BUSINESS
timespan—is similar to the treatment of fixed
capital in the existing accounts.
The prototype estimates include stocks and
flows in accounts that supplement BEA'S national
wealth accounts and NIPA'S. These prototype estimates provide a comprehensive picture of the
stocks of natural assets and the changes in them.
They also allow an examination of the practical consequences of several alternative methods
of valuing the stock of resources, additions, and
depletion. The alternative methods represent
the Bureau's technical assessment of the best estimates and framework that are feasible with
existing sources and methods.
Phase 11: Renewable natural resources.—The plan
calls for work to extend the accounts to renewable natural resource assets, such as trees
on timberland, fish stocks, and water resources.
Development of these estimates will be more difficult than for mineral resources because they
must be based on less refined concepts and less
data.
Phase in: Environmental assets.—Building on this
work, the plan calls for moving on to issues
associated with a broader range of environmental assets, including the economic value of the
degradation of clean air and water or the value
of recreational assets such as lakes and national
forests. Clearly, significant advances will be
required in the underlying environmental and
economic data, as well as in concepts and methods, and cooperative effort with the scientific,
statistical, and economic communities will be
needed to produce such estimates. H
April 1994 •
49
SURVEY OF CURRENT BUSINESS
April 1994
Accounting for Mineral Resources:
Issues and BEA'S Initial Estimates
NATURAL assets, the characteristics
. of minerals—oil, gas, coal, and nonfuel
minerals—are the most similar to the characteristics of assets included in traditional economic
accounting systems. Not surprisingly then, minerals have long been considered as candidates for
a treatment that is symmetrical with the treatment given other assets. Such a treatment is at
the heart of the integrated economic and environmental satellite accounts (IEESA'S), which are
the subject of a companion article, beginning on
page 33. Failure to account symmetrically for
mineral resources as a form of capital has been
blamed both for their over- or under-exploitation
and for incomplete analysis and policy decisions
in areas relating to productivity and budgeting.
The companion article noted three points of
asymmetry between the treatment given assets
such as structures and equipment in the traditional economic accounts and the treatment
given natural assets. First, in traditional economic accounts, there is no entry for additions
to the stock of natural resources parallel to the
entry for additions to the stock of structures and
equipment. Second, there is no explicit entry for
the contribution of natural resources to current
production, as measured by gross domestic product (GDP), parallel to the entries that capture the
value added of structures and equipment. Finally, there is no entry for the using up of the
stock of natural resources parallel to the entry
for the depreciation of structures and equipment
used to arrive at net domestic product (NDP)—
which is used by some as a shorthand measure
of sustainable product.
This treatment given mineral resources in the
traditional economic accounts is anomalous in
several respects. First, firms spend large amounts
of time and other resources in "proving" mineral
reserves, and these reserves, like structures and
equipment, yield a flow of services over many
years. As firms prove these reserves, they are
entered, along with investments in new structures and equipment, in the firms' balance sheets.
Additions to these reserves are also recognized
by investors and reflected in firms' equity prices.
Second, the value added of a resource like coal or
oil is included in GDP even though no explicit entry for its contribution is made: Its value added
is in a sense "appropriated" by the other factors
of production and is included in the rents, royalties, and profits of the owners of invested capital.
Finally, although the traditional economic accounts do not include an entry for depletion of
natural resources, firms and investors recognize
depletion in assessing the value of firms and the
sustainability of their current profit levels.
The treatment of natural resources in the mining industry has long been debated in economics
literature.1 While there is a conceptual case
for symmetrical treatment of mineral resources
and invested capital, the absence of good market
prices to value additions, depletion, and stocks
has been a stumbling block. Property rights
issues, incomplete information, asymmetry in
bargaining, and the structure of payments for
mineral rights create a situation in which either
there are no observable prices or prices are seriously incomplete or unrepresentative. Partly as a
result of this situation, traditional economic accounts have treated the value added of mineral
resources as free gifts of nature, making entries
neither to the flow accounts for additions to, or
depletion of, the stock of these resources nor to
the wealth accounts.
The omission of explicit entries for mineral
resources has import beyond the economic accounts. The absence of an entry, or market price,
for depletion may—in combination with common property rights—mean that the accounts
do not identify overexploitation. This possibility is particularly important because a large share
of the Nation's mineral resources are on public
lands. (However, as the current problems in the
New England fisheries suggest, the issue clearly
has import for a wide range of other resources.)
Such omissions have also been cited as the source
of problems in productivity analysis. Despite the
inclusion of land, labor, and capital in the most
elementary production function used in studying
1. Business accounting has also long debated issues in accounting for
minerals; further, there was a resurgence in interest after the "energy crisis"
in the mid-1970's. Since then, the Financial Accounting Standards Board has
issued five new standards to improve accounting for mineral resources.
SURVEY OF CURRENT BUSINESS
productivity, measures of natural resources have
generally not been available. Finally, the absence
of measures of natural resource stocks and stock
changes on Federal lands has been cited as contributing to less-than-optimal Federal budgeting
decisions.2
As previously mentioned, this article is the
second of two articles reporting on the IEESA'S.
It provides initial estimates of the value of additions, depletion, revaluations, and stocks of
mineral resources and on the impact such estimates would have on the estimates of the
Nation's production, income, and wealth. This
article begins with a summary of the major conceptual and methodological issues in accounting
for mineral resources. Next, the article describes
alternative methods of valuation that can be used
to develop IEESA estimates for minerals, and it
then presents estimates for oil, gas, coal, metals, and other minerals using these methods. An
appendix provides information on data sources
and methods. Tables 1-5 appear at the end
of the article: Table 1.1-1.6 present estimates of
oil—opening stocks, additions, depletion, and
the revaluation adjustment—for 1947-91; tables
2.1-2.6 present estimates of gas for 1947-91; tables 3.1-3.4 present estimates of coal for 1958-91;
tables 4.1-4.4 present estimates of metals for 195891; and tables 5.1-5.4 present estimates of other
minerals for 1958-91.
Conceptual and Methodological Issues
In addressing conceptual and methodological
issues for mineral resources, as for natural resources and the environment more broadly, BEA
has attempted to follow two principles. First, the
treatment in the satellite accounts should be consistent with the principles of economic theory.
Second, the satellite accounts should embody
some concepts and definitions that differ from
those of the existing accounts in order achieve
their purpose of showing the interaction of the
economy and the environment, but in other respects they should be consistent with the existing
accounts. Satellite accounts provide the flexibility
to make changes that are useful in analyzing natural resources and long-term economic growth,
but consistency with the existing accounts will
allow the satellite accounts covering mineral resources to link to, and build upon, the existing
economic accounts, including the input-output
and regional accounts.
2. See, for example, Gavin Wright [35] and Michael J. Boskin, Marc S.
Robinson, Terrance O'Reilly, and Praveen Kumar [4].
The conceptual and methodological issues discussed in this section can be divided into two
main groups. The first group deals with the accounting treatment for mineral resources. The
second group deals with valuation.
Accounting issues
Treatment of additions to reserves.—Symmetrical
treatment of proved mineral resources with structures and equipment requires treatment of additions to the stock as capital formation and
of deductions as depletion. Capital formation
records the initial production of the capital, as
well as its addition to the capital stock; depreciation records the reduction in the capital stock
associated with its use, as reflected in NDP. Over
the life of the asset, depreciation sums to the
value of the original investment.
In economic accounting, as in business accounting, what comes off the books must have
gone on the books. This business accounting requirement was one of the reasons why estimates
of depletion of natural resources have not been
included in official estimates of NDP. Beginning
in 1942, depletion allowances for minerals and
timber were deducted from GDP in the estimates
of net national product made by the U.S. Department of Commerce. Discoveries of minerals,
however, were not included in capital formation
and net product. The depletion allowances were
eliminated in 1947 because of this absence of an
entry for capital formation.
Despite this accounting requirement for symmetrical treatment of additions and reductions, a
number of economists have called for a return to
the 1942 treatment—that is, an entry for depletion but not for additions. This position seems to
have been based on at least three considerations,
each of which is evaluated in the paragraphs that
follow.
First, an entry for depletion will respond to at
least part of the concern about the treatment of
mineral resources in the traditional accounts. If
the goal is to produce a measure of NDP that reflects the depletion of mineral resources in GDP,
deduction of depletion to arrive at an alternative NDP will provide such a measure. Although
it cannot be explicitly identified, as noted previously, the contribution of mineral resources is
already included in GDP. Deduction of an estimate of depletion will give a partial measure of
sustainability, one that indicates the using up of
the existing stock of mineral resources.
What such a partial measure will not do is allow the detailed identification of the contribution
April 1994
5-2 • April 1994
SURVEY OF CURRENT BUSINESS
of the mineral resource to income, production,
consumption, or wealth, either in the aggregate
or by sector. Nor will it provide a complete
measure of sustainability. Without an entry
for additions, deduction of depletion alone to
calculate an alternative NDP may produce misleading signals regarding the sustainability of
a nation's production and wealth. For example, with only depletion accounted for, a nation
adding to its stock of reserves—through exploration and development and through improved
recovery techniques—at a rate that more than
offsets depletion would nonetheless have an alternative NDP lower than the traditional NDP. The
lower NDP would suggest that the country was
running down its resources and that the current
level of production was at the expense of future
production, despite the fact that reserves were
actually increasing.
Second, estimates of the value of additions to
the resource stocks are quite volatile, uncertain,
and, at times, large. Volatility in resource prices,
changes in mining technology, and uncertainty
about the ultimate recoverability from existing reserves all affect the value of mineral reserves. It is
not clear, however, that the volatility introduced
by such estimates would be any larger than that
already observed in investment, particularly inventory investment, the most volatile component
of traditional accounts.
Third, probably the most important reason for
the lack of enthusiasm for including additions to
reserves as capital formation in GDP is that additions to reserves are so different from additions
to capital stock. This difference, in combination
with the volatility of additions to reserves, would
limit the usefulness of accounts for conventional
macroeconomic analysis. The inclusion of large
additions to mineral resources in GDP, such as
those associated with the North Slope in Alaska
and the North Sea in Europe, are important additions to a nation's wealth and have a significant
impact on economic activity, but the effect differs
from that associated with investment in a new
factory. Both add to wealth, but for the factors
of production involved in building the factory,
payments have been made, and the resources are
available for current consumption. In contrast,
much of the increase in wealth associated with
adding proved reserves accrues to mining companies and landowners in the form of increases in
land values and equity prices. To make these resources available for current consumption would
require the "producers" of the mine or well to
sell their product.
Many of the concerns about volatility and the
different nature of additions to mineral reserves
can be diffused by placing these values in a
satellite account that allows integrated analysis
of mineral resources outside the main accounts.
This inclusion of natural resources in a satellite account allows researchers the flexibility to
experiment without impairing the usefulness of
the traditional accounts. In addition, within the
IEESA'S, the effect of volatility in mineral prices is
largely confined to the revaluation account and
has a limited effect on the estimates of current
income, production, and consumption.
Fixed capital or inventory treatment—Even when
economic theorists have thought of natural resources as a type of capital, they have disagreed
about whether the resources should be treated
as fixed capital or as inventories.3 This disagreement may seem a bit strange because proved
mineral reserves seem to fit the classic characteristics of fixed capital: Expenditures of materials
and labor are needed to produce a productive
asset ("roundabout" production), which yields a
stream of product over long periods of time. The
rent to owners of fixed assets comprises the reduction in the value of the asset due to its use
in the current period (depreciation) and a return
equal to what the current value of the asset could
earn if invested elsewhere. Inventories, on the
other hand, are buffer stocks of inputs and final products that help to smooth production and
avoid lost sales. As a rule, inventories are sold
within a year or one accounting cycle. Although
interest or holding costs are a consideration in
determining inventory levels, they are much less
important than for fixed capital.
Part of the rationale for treating mineral reserves as inventories may arise from the perception that they differ from fixed capital in that
they are a set number of units waiting to be used
up in production. However, like the output from
a new machine, the number of units extracted
from a new field or mine is quite uncertain and
varies over time with the path of future demand,
changes in technology, prices, costs, and returns
on alternative investments. In addition, although
a piece of machinery may not appear from the
3. Part of the debate over the treatment of minerals as inventories or
as fixed capital may reflect the view that depletion should be counted as
a reduction in the highly visible GDP measure, rather than in the less well
known NDP. If natural resources are treated like fixed capital, the depletion
of the resources in the production process would be treated like depreciation.
Because NDP is defined as GDP less depreciation, with this treatment any
depletion charge would affect NDP but not GDP (as noted earlier, conventional
GDP implicitly includes depletion). On the other hand, the change in business
inventories is a component of both GDP and NDP. Consequently, some have
argued that if depletion were viewed as a net decline in inventories, it would
result in a subtraction from both GDP and NDP.
SURVEY OF CURRENT BUSINESS
exterior to be used up in production, its parts
or service life are most certainly "used up" in
production; this "using up" is reflected in the
decline in its value, or the depreciation on the
equipment.
Valuation issues
The absence of complete data on mineral resource prices has meant that the value and
contribution of mineral resources to income, production, consumption, and wealth have usually
had to be based on methodologies that produce
To emphasize the replaceability of proved reproxy estimates of their market price. There are
serves, some analysts have chosen to describe
two elements to making such estimates. The first
these reserves as inventories.
This motive
is separating the contribution of the resource in
notwithstanding, treatment of mineral reserves
the ground—which is implicitly included in the
symmetrically with fixed investment in strucprice of a marketed mineral product—from that
tures and equipment would serve equally well
of other factors of production. The second is
as a reminder of the "reproducibility" of proved
determining the appropriate per-unit value for
reserves in the IEESA'S.
estimating the value of the stock of the resource
and the value of changes in the stock, including
Proved reserves or total resources.—The amount additions, depletion, and revaluations.
In addition, it is useful to identify several terms
of mineral resources that can be recovered, given
at the outset. First, "rent" refers to the concept of
current economic conditions, is not certain. Rethe return to factors of production after deducserves are generally classified by the degree of
tion of variable costs. More empirically, "gross
certainty attached to the estimates. For example,
rent" is simply gross revenues less expenditures
proved petroleum reserves are estimated physion intermediate goods and employee compencal quantities that have been demonstrated by
sation. (Rent in these situations is not to be
geologic and engineering data to be recoverable
confused with "rental income of persons" found
under current economic conditions and techin the national income and product accounts.)
nology. Reserves whose recovery under current
Second, "invested capital" refers to the structures
economic conditions is less certain are classiand equipment in which the firm or industry has
fied as either "probable" or "possible." Estimates
invested.
are also available on the total amount of reserves that remain to be discovered—that is, of
Identifying the return to the resource.—The price
"undiscovered" reserves. There are a variety
of a unit of the resource—for example, a barrel
of perspectives on which of these measures of
of oil—reflects, in addition to the cost of goods
reserves should be used in accounting for minerand services used in its production, a return to
als. Should the accounts be concerned only with
labor, a return to invested capital, and a return
"proved" reserves, or should they also account for
to the resource. The first step in identifying the
"probable," "possible," or even "undiscovered"
value of a barrel in the ground is to determine
reserves?
the rent, in this case the rent to the resource and
the capitalized value of investments in mining. In
Authors who have focused on proved reserves
industries such as petroleum mining, good data
have tended to do so because of the large unare generally available on the variable costs, so
certainty associated with the other measures.
arriving at gross rent is, at least conceptually, relAs noted in the companion article, BEA ultiatively simple. The next step is to determine the
mately intends to include unproved reserves as
share of gross rent that accrues to the invested
part of "nonproduced/environmental" assets, but
capital and the share that accrues to the resource.
the mineral reserve estimates presented here are
In theory, the rent to owners of both the inrestricted to proved reserves.
vested capital and the oil in the ground should
equal the reduction in the value of each asset
One means of dealing with the uncertainty
due to its use in the current period (depreciation
in valuing unproved reserves may be the use of
and depletion, respectively) plus a return equal
"option" values. Unproved reserves are clearly
to what the current value of the well (the invested
bought and sold, and the values or options that
capital and the oil in the ground) could earn if
could be used in these transactions might be used
invested elsewhere. The desirable way to measto develop average option values to be used in
ure the rent would be to observe market prices
valuing the entire stock of a nation's reserves.
for these transactions; however, often there is no
An operational methodology for making such
transaction, and the observable transactions that
estimates has not yet been identified.
April 1994 •
S3
SURVEY OF CURRENT BUSINESS
54 • April 1994
take place are often not representative of the full
value of the oil. As a result, the various methods
described in the next section use indirect techniques to estimate the market value of the return
to invested capital, and they derive the return to
the oil in the ground as a residual.
variables: (1) The normal return to invested capital, based on some average rate of return to all
investment in the economy; (2) the return to capital based on the market value of the capital stock
in the oil industry; and (3) the per-unit capital
cost of additions to the stock of proved reserves.
The use of these variables as described in the folValuing the resource stock and depletion.—Valuing lowing paragraphs represents BEA'S assessment of
the stock of a resource and valuing the decline
the best estimates given existing source data and
in the stock's value associated with extraction are
frameworks. The accompanying box provides an
complicated because the extraction takes place
algebraic description of the methods.
over a long period of time. Unless the price,
or value, of that resource rises enough to offCurrent rent estimates
set the income that could have been earned on
alternative investments (including an inflation
The simplest assumption that can be used is
premium), resources extracted in the future will
based on Harold Hotelling's observation that in
be worth less, in real terms, than those extracted
equilibrium, the price of the marginal unit of a
today. In theory, the market value of the stock
nonrenewable natural resource net of extraction
should be equal to the present discounted value
costs (the current per-unit rent to the resource)
of the future stream of rent from the stock,
should increase over time at a rate equal to the
whereas depletion is the decline in the value of
nominal rate of interest.5 At any rate of increase
the stock associated with extraction in the current
in the per-unit rent above (below) the rate of reperiod. Translating the current per-unit rent of
turn on alternative investments, entry (exit) and
a resource into a per-unit value appropriate for
increases (decreases) in the rate of extraction will
valuing the stock and depletion requires informacombine to reestablish the equilibrium rate of intion about the future path of extraction, prices,
crease in the resource rent. If this observation
and interest rates. Unfortunately, such informaholds, the value of the stock of the resource is
tion is generally not available. In the absence of
independent of when it is extracted and is equal
market prices, estimation of the current value of
to the current per-unit rent to the resource times
the resource requires either resort to economic
the number of units of the resource.6
theory, use of a set of explicit assumptions, or
The following two methods assume that over
empirical estimation.
time the rent per unit will increase at the rate
Empirical estimation of the factors required for
of interest; they simply use the current per-unit
computing the present discounted value of the rerent to value the resource and depletion.
source is fraught with difficulties, in part because
The first method, current rent method I, utiof the volatility of mineral markets. Simplistic
lizes an estimate of a normal, or average, rate of
assumptions do at least as well as econometric
return to investment to estimate the rent to the
forecasts in tests of their predictive accuracy, and
associated capital invested in the mining industry
the assumptions are relatively easy to understand.
and then derives the resource rent as a residual.
This method applies this average, economywide
rate of return to investment to an estimate of
Alternative Methods of Valuing Mineral
the replacement cost, or market value, of the net
Resources
stock of associated capital invested in mining and
then adds depreciation to estimate a "normal"
BEA has prepared estimates using four methrent to invested capital. The rate of return used is
ods of valuing resource stocks and changes—
6 percent, approximately the 45-year average real
depletion, additions, and revaluations—in the
rate of return to investment in corporate bonds
stocks.4 These methods rely on estimates of three
and equities for the period ending in 1991, which
is an estimate of the rate of return available on al4. Among the methods that have not been used is one suggested by Salah
El Serafy. The approach essentially calculates the amount that must be invested in a "sinking fund" to create an income stream sufficient to replace
that produced by the natural resource. The approach, although frequently
mentioned in the resource accounting literature, is not included largely because it is inconsistent with the concepts embodied in traditional national
accounts and the IEESA'S. In traditional accounts, the value of an asset is
determined by its market price, or proxy thereof. El Serafy's approach, a
welfare-oriented measure, is not intended to estimate the market value of the
mineral resource.
5. In other words, the real price of the resource should increase at the
real rate of interest, and there is no need for discounting.
6. As discussed later, it may be true that over long periods, the rent
per unit for mineral resources—like most tangible assets held for investment
purposes—will rise at a rate equal to the nominal discount rate; however,
periods of disequilibrium may be quite long. Nevertheless, given the problems
in forecasting volatile minerals prices, technology, etc., this simple assumption
may yield results as good as or better than other methods.
SURVEY OF CURRENT BUSINESS
ternative investments. The steps in estimating the
rent to and value of the resource are as follows:
1. Gross rent is calculated as total revenue less
current operating expenditures. (Current
operating expenditures are those associated
with bringing the mineral from the deposit
to the wellhead or mine gate.)
2. The resource rent is obtained by subtracting
the rent to capital (both depreciation and a
normal rate of return for capital) from the
gross rent.
3. The per-unit rent to the resource equals the
resource rent divided by the physical quantity
extracted.
April 1994 • S5
4. The value of the resource equals the per-unit
rent times the physical quantity of reserves.
Additions and depletion are valued at rent
per unit times the physical quantities of
added and extracted reserves.
5. Revaluations—the effect of price changes—
are computed as a residual: The value of the
resource at the end of the current year less
its value at the end of the preceding year,
plus depletion during the year, less additions
during the year.
The advantage of this method is that it is
relatively straightforward and requires few assumptions. The main disadvantage is that an
explicit assumption must be made regarding the
Algebraic Description of the Alternative Methods of Valuing Mineral Resources
Current rent method 1 (Based on average return to capital):
Definitions:
GR = TR - COE
RR = GR-(rNS + DEP)
6r = RR/QE
Aggregate value measures:
TR = total revenue
CO = other extraction expenses, including compensation of employees, materials consumed, and overhead cost allocated
to current production
GR = gross rent
RR = resource rent
NS = net stock of capital valued at current replacement cost
TV =value of purchased reserves during the year
V =value of the proved reserves (resource and fixed capital values)
VR =value of the resource stock
VA = value of the annual additions
DEP = depreciation
DEPL = value of the annual depletions
REVAL = the effect of price changes on the value of the stock
$ADD = the annual exploration and development expenditures
for drilling oil and gas wells in fields of proven reserves
(including overhead costs allocated to development)
4> = Net discounted present value factor
VR
=
8r(QRES)
DEPL
=
5r(QE)
VA
=
5r(QADD)
REVAL = VA(t)-VA(t-l)+DEPL- VA
Current rent method 1 (Based on value of capital stock): *
1
5GR
=
V
=
GRIQE
8GR(QRES)
VR
= V -NS
5r
=
VR/QRES
Net present discounted value: *
T
5r
= $[(V-NS)/(QRES)]
Replacement cost: *
bf
5r
= [(QE/QRES)/((QE/QRES)+r))
= bf[(TR-COE)/Q]-(SADD/Q)
Transaction price: *
8GR = (TV/TQ)
5r = 6GR-(NS/QRES)
* DEPL, VA, REVAL for all methods are computed using the same formulas as
presented for current rent method 1,
Quantity measures:
QE = quantity of the resource extracted during the year
QRES = stock of reserves
QADD = Quantity of resources added to reserves during the year
(through new discoveries, extensions of existing sites, or
revisions in estimated reserves)
TQ = quantity of proved reserves purchased during the year
Per unit measures:
5GR = gross rent per unit (GR/Q)
5r = resource rent per unit
Rates and other items:
r = real rate of interest, or discount rate
N = Life span of a resource (e.g., well or mine), R/Q
j = current year
T = life of asset (NIPA convention)
a = reserve decline rate, Q/R
bf = barrel factor
5 6 • April 1994
SURVEY OF CURRENT BUSINESS
appropriate rate of return. In addition to the
conceptual and empirical problems in identifying an appropriate rate, prespecification of a rate
does not allow for relatively low or high rates of
return in the mining industry due to conditions
specific to the industry.
An alternative method, current rent method
11, derives resource rent by removing the market value of capital, both physical and capitalized
expenditures, from the value of the resource reserve. The steps to deriving the per-unit rent are
as follows:
1. Gross rent per unit is derived by dividing gross rent by the physical quantity of
extraction.
2. The total value of the mineral reserve (the
resource and the associated invested capital) equals the gross rent per unit times the
quantity of reserves.
3. The value of the resource equals the total
value of reserves less the current replacement
value of the net stock of invested capital.
4. Resource rent per unit equals the value of the
resource divided by the quantity of reserves.
The advantage of this method is that it does not
require an explicit assumption about the return
to invested capital associated with the resource.
the NIPAJS: 16 years until 1972 and 12 years thereafter. Finally, extractions were assumed to occur
at midyear and were valued using the per-unit
rents described for current rent method 11.
Two real rates of discount—3 percent and 10
percent—were chosen to illustrate the effects of
a broad range of rates on the values of additions, depletion, and stocks of reserves. Thus, the
relatively high and relatively low rates chosen encompass many of the alternatives that have been
used in discounting.7 The 3-percent discount rate
has often been used to approximate the rate of
time preference. The 10-percent rate has often
been used to approximate the long-term real rate
of return to business investment.
The steps for estimating the present discounted
value estimate of the resource rent per unit are
as follows:
1. A discount factor was derived using an estimate of the real rate of discount—the
nominal interest rate less the rate of increase
in the resource rent—and the NIPA estimates
of the lifespans of mineshafts and wells.
2. The rent per unit equals the discount factor times the gross rent per unit derived
from the current rent method that is based
on the value of capital stock in the mineral
industry.8
Present discounted value estimates
Replacement-cost estimates
If it is assumed that rent to the resource does
not rise enough to compensate the owners of
the resource for the nominal interest they could
earn on alternative investments, then the stream
of future rents must be discounted by the difference between the rate of increase in resource
rent and the nominal interest rate. As noted
previously, with discounting, identical dollar values during different time periods have different
present values, so valuation by present discounted
values requires—in addition to an assumed discount rate—a number of assumptions about the
stream of future rents.
In BEA'S implementation of this method, three
simplifying assumptions were made so that each
cohort of additions to reserves did not have to
be tracked separately throughout its economic
life. First, extraction resulting from additions to
proved reserves was assumed to be constant in
each year of a field's life, and depletions were assumed to result equally from all cohorts still in
the stock. Second, new reserves were assumed to
be extracted at constant rates over the same timeframe used for depreciating wells and mines in
The replacement-cost method subtracts from
gross rent the cost per unit of adding new reserves, thereby identifying the resource rent as
a residual. It uses the per-unit cost of proving
new reserves to represent invested capital's share
of the gross rent. The value of a unit of resource in the ground is estimated; the cost to
replace it by investment is subtracted from that
in-ground value, and the residual is the resource
rent. This method uses current rates of extraction to estimate future production and uses an
7. Although these real rates—3 percent and 10 percent—are often used to
discount future returns, both are probably high for an appreciating tangible
asset for a number of reasons: (1) Mineral prices do rise, at least partly, if not
fully offsetting the effect of discounting; (2) as many authors have argued, decisions with intergenerational effects should be valued at lower discount rates
than other transactions; and (3) a real rate of 10 percent, which is often cited
and has been used by the Office of Management and Budget as an estimate
of the real rate of return to private capital, is biased upwards. The 10-percent
return is based on estimates of the before-tax return to reproducible capital,
which is computed as all property-type income divided by the replacementcost value of reproducible assets. Some authors have attempted to adjust the
return to reflect the fact that property-type income is a return to land and
other factors as well as to reproducible capital; nevertheless, to the extent that
these other factors are excluded from the denominator, the computed return
to capital is too high.
8. Because of the simplifying assumptions used, somewhat different
discount-extraction factors are applied to stocks and flows; for most years,
the differences are very small.
SURVEY OF CURRENT BUSINESS
assumed discount rate of 6 percent.9 Because
of the lack of production cost data, transactions
data for the sale of reserves, and techniques to
estimate those market values for all other minerals, the replacement-cost method is used only for
oil and gas. The steps for deriving the per-unit
resource rent are as follows:
1. The barrel factor—-which is used to calculate
the value of a barrel of oil in the ground—
is equal to the depletion rate of the reserves
divided by the sum of the real discount rate
and the depletion rate.10
2, The per-unit resource rent is calculated by
multiplying the gross rent per unit by the
barrel factor and subtracting the per-unit
exploration and development cost.
Transactions-price estimates
When oil and gas firms seek to replace the reserves that have been depleted as a result of their
production, they face a "make or buy" decision.
They can either make new reserves by financing
exploration and development efforts, or they can
buy reserves that have already been proved by
others. This article refers to the purchase price of
proved reserves as a "transactions price" because
it represents a price that was paid in an actual
transaction. The costs of acquiring new reserves
by financing exploration and development efforts
are termed "finding costs." In equilibrium, and
ignoring the different tax treatment of purchasing and drilling for oil, the finding costs should
be equal to the transactions price.
If available, transactions prices are ideal for
valuing reserves. As it turns out, such transactions are relatively infrequent because companies
generally develop their own reserves. As a result, the few transactions that occur are not
easily generalized for estimating the total value of
reserves.
The estimates of resource values for oil and
natural gas presented here are derived from transactions prices constructed from publicly available
data on the activities of large energy-producing
firms. The derivation of per-unit resource rent is
as follows:
1. The per-unit gross rent for the resource and
its associated invested capital is obtained by
9. The method outlined here is based on the approach used by M.A.
Adelman, which has been modified to estimate the resource rent and hence
the depletion and the value of oil and gas resources.
10, Note that if the resource appreciates at a rate equal to the nominal
interest rate, the real discount rate (nominal rate less the increase in prices)
is zero, and the barrel factor has a value of one; in this case, the current rent
is used to value reserves and depletion.
dividing aggregate expenditures for the purchase of the rights to proved reserves by the
quantity of purchased reserves.
2. The per-unit resource rent equals the perunit gross rent less the per-unit net stock of
associated capital invested in the oil and gas
industry.
Estimates for Mineral Resources
The value of resource reserves and changes in
reserves were estimated for the period 1958-91
for major mineral resources using the four valuation methods just discussed.11 The minerals
valued include the fuels (petroleum, natural gas,
coal, and uranium), the metals (iron ore, copper,
lead, zinc, gold, silver, and molybdenum), and
other minerals (phosphate rock, sulfur, boron,
diatomite, gypsum, and potash). Petroleum
and gas account for the lion's share of mineral
production. The other minerals were selected because, of the minerals that have scarcity value,
their value of production was relatively high.
The picture that emerges from the various estimates of the value of U.S. mineral stocks is
broadly similar, regardless of which methodology
is used:
• The value of additions has tended to exceed
depletions; since 1958, the value of the stocks
of proved mineral reserves in the aggregate
has grown in current dollars, while showing little change in constant (1987) dollars
(charts 1 and 2 and table A).
• Changes in the stocks of these productive assets over time have largely reflected changes
in their resource rents. Increases in resource
rents have been accompanied by greater
investment in exploration and enhanced recovery technology, and decreases in rents for
some resources have been accompanied by
reduced exploration activity and the closing
of marginal fields and mines.
• Proved mineral reserves constitute a significant share of the economy's stock of
productive resources. Addition of the value
of the stock of these mineral resources to
the value of structures, equipment, and inventories for 1991 would raise the total by
$47i-$9i6 billion, or 3-7 percent, depending
on the valuation method used.
• The stocks of proved mineral resources are
worth much more than the stocks of invested
11. The transactions-price and replacement-cost methods are used for the
period 1947-91 and only for oil and gas.
April 1994 •
S7
April 1994
SURVEY OF CURRENT BUSINESS
structures and equipment associated with the
resources. In 1991, the value of the stock of
subsoil assets was 2 to 4 times as large as
the value of the associated stock of invested
structures and equipment and inventories.
• Valuing the effect of depletion and additions,
as well as including the value of resource
stocks, provides a significantly different picture of returns. Compared with rates of
return calculated using income and capital
stock a? measured in the existing accounts,
the iEESA-based average rates of return on
capital in the mining industry for 1958-91 are
lower—4-5 percent rather than 23 percent
(table B). Rates of return for all private capital slip from 16 percent using measures in
the existing accounts to 14-15 percent using
IEESA measures for the mining industries.
• Although the trends that emerge from the
alternative methods are similar, the range
of estimates is large. The highest estimates
of stocks, depletion, and additions were obtained from the current rent estimates based
on capital stock values, and the lowest were
from the current rent estimates based on
average rates of return to capital.
CHART 1
Stocks and Changes in the Stocks
of Subsoil Assets, Current Dollars
Billion $
1400
1200
1000
CLOSING STOCK
Current Rent Method I I '
• — Present Dtecounted
Value Method Using 3%
Present Dtecounted
Value Method Using 10°
Current Rent Method I ;
800
600
400
200
0
120
100
400
-100
-200
1958 60 62 64 66 68 70 72 74 76 78 80 82
1. Based on the value of capilal stock.
2 Based on the ave-age retu'n to invested capttai.
U.S. Depaimen! of Comme'ce, Bureau of Economic Analysis
88 90
The stock of proved reserves increased from
S103-S182 billion in 1958 to $471-5916 billion in
1991. In constant dollars, the stock rose somewhat and then fell, but over the period showed
little change: From $544-$i,O77 billion in 1958,
the real stock slipped only slightly to S53O-$i,O3O
billion in 1991. The patterns vary by type of mineral and reflect the effects of prices and costs of
production, the volatility in international minerals prices, increasing environmental regulation,
and the effect of strikes and other factors specific
to each industry.
For petroleum, despite periodic concerns that
the United States was running out of oil, additions have offset depletion throughout the period
as oil companies have responded to higher net
returns by stepping up exploration and improved recovery techniques to produce stocks
of proved reserves sufficient to meet current
and intermediate-term needs in light of current
prices, costs, and interest rates. The one spike in
the constant-dollar oil and gas series was in 1970,
the year of the Alaskan oil strike.
For coal, <:editions have exceeded depletions,
resulting in a generally rising constant-dollar
value of stocks over time. For other minerals, the
stock patterns have varied, with declining stocks
in metals reflecting large declines in the returns
to metals.
April 1994
SURVEY OF CURRENT BUSINESS
The 1991 stock of mineral reserves would add
}-y percent to the 1991 value of reproducible
tangible wealth of $13,637 billion, of which private nonresidential structures and equipment
were $5,440 billion. Over time, the mineral reserves share of an expanded estimate of national
wealth has fallen; in 1958, mineral reserves would
have added 9-17 percent to reproducible tangible
wealth. This decline appears to reflect several factors, including the economy's increased reliance
on foreign resources and the increased efficiency
in the use of fuels and other minerals.
Although industry makes large investments in
exploring and developing mineral resources, the
value of the invested capital associated with oilfields and mines is small relative to the value
of the mineral reserves themselves. In 1991,
the value of subsoil assets was 2-4 times as
large as the associated capital invested in mining.
Addition of these stocks of productive natural assets provides a more comprehensive picture of
both the assets and the returns in the mineral
industries.
Treatment of natural resources symmetrically
with investments in equipment and structures
provides a very different picture of rates of return to mining. Rates of return in the mineral
industries calculated using income and capital
stock as measured in the existing accounts—
specifically, by dividing property-type income by
the replacement value of structures, equipment,
and inventories—averaged 23.1 percent for 1958—
91. The more complete IEESA estimate deducts
depletion and adds additions to property-type income, and it adds the value of resource stocks to
the value of structures, equipment, and inventories. Depending on the valuation method used,
the IEESA rate of return would be 3.5-5.2 percent. The effects of including mining resources
are so large that the rate of return to all private
capital is reduced from 16.1 percent to 14.1-14.9
percent. These IEESA rates of return provide a
significantly different picture of the social rate of
return to investments in the mining industries
and the sustainability of the industries' output.12
As noted, the highest estimates of resource reserves are from the current rent method based
on the value of capital stock invested in the
industry.13 The value of subsoil assets using this
method was $916 billion in 1991. The lowest value
in 1991, $471 billion, was obtained from the current rent method based on a normal return to
invested capital. The present discounted value
estimates fell somewhere in between—$638-5812
billion.
The replacement-cost and transactions-price
estimates were computed only for oil and gas.
The transactions-price estimates, despite considerable smoothing, were quite volatile and erratic.
preference rate of 3 percent—or a nominal rate of approximately 6 percent—
the current rent methods may not be too far off the mark over long periods
of time, given the range of uncertainty in the estimates of rates of return. If
one chooses a higher discount rate, then some discounting should occur.
Stocks and Changes in the Stocks
of Subsoil Assets, Constant Dollars
Billion 1987 $
1400
CLOSING STOCK
1200
1000
800
600
Current Rent Method I I '
Present Discounted
Value Method Using 3%
Present Discounted
Value Method Using 10%
Current Rent Method I •"
400
200
I
0
I I I I i I I II
I I I I I I I I I I I I I I I
200
ADDITIONS
150
100
100
50
i2 Given the effect of tax laws, transfer pricing, and excluded assets,
comparison of rates of return across methods is difficult at best. Many of the
mining industries have relatively little invested capita] (fixed or inventory)
associated with the resources, and hence the computed returns to reproducible
, .ipital are overstated relative to those that mining companies, which do count
me value of property, have on their books.
13. Over the period of this analysis, the current rent per unit for all the
'evmrces increased at an annual rate of 4-8 percent. Based on a real time
1958 60 62 64 66 66 70 72 74 76 78 80 82 34 86 88 90
1. Based on tie value of capital stock.
2. Based on the average return lo invested capital.
U.S. Department of Commerce, Bureau of Economic Analysis
•
59
60 • April 1994
SURVEY OF CURRENT BUSINESS
Table A.1.—Value of the Resource, Additions, and Depletion of
All Subsoil Assets, Current Rent Method I (Rate of Return)
Billions of current dollars
Year
Additions
(D
1958
1959
1960 ......
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978 ......
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
(2)
102.6
105.6
105.2
117.2
120.1
125.4
135.8
141.7
141.8
142.7
140.0
138.4
139.5
159.7
152.1
147.9
195.7
233.1
277.8
337.1
322.6
339.5
398.1
448.3
379.4
285.2
600.6
741.3
594.4
471.6
437.5
371.1
409.9
471.2
4.6
5.9
2.6
6.0
6.9
6.0
8.2
7.9
7.4
7.2
5.9
3.4
20.5
5.9
3.7
4.2
7.6
5.1
8.4
21.0
13.8
23.5
33.9
31.1
43.9
68.7
86.3
62.1
33.8
36.8
16.4
20.6
29.1
19.6
4.3
4.4
4.5
4.6
4.8
5.3
5.5
5.5
5.8
6.1
6.2
6.5
7.1
7.0
6.5
7.6
8.3
10.7
15.7
17.9
18.4
21.6
27.2
26.3
43.6
68.1
74.5
62.3
46.4
36.0
17.5
16.9
22.4
24.2
Billions of 1987 dollars
Billions of current dollars
(4)
2.8
-2.0
13.9
1.5
3.2
9.6
3.2
-2.3
-.6
-3.9
-1.2
4.1
6.8
-6.5
-1.4
51.1
38.2
50.3
66.6
-17.6
21.5
56.7
43.5
-73.7
-94.5
314.7
128.9
-146.7
-110.2
-34.8
-65.3
35.1
54.6
14.0
Closing
stock
(1+2-3+4)
Opening
stock
Additions
Depletion
Closing
stock
(6+7-8)
(5)
RevaluDepleation adtion
justment
(3)
Table A.2.—Value of the Resource, Additions, and Depletion of
All Subsoil Assets, Current Rent Method II (Value of Capital)
(6)
(7)
(8)
(9)
544.4
550.0
562.2
558.5
564.2
569.8
572.5
580.7
590.9
596.6
600.9
595.3
579.5
651.8
640.4
621.8
605.1
593.2
577.2
559.5
564.0
554.0
557.6
564.3
558.9
548.6
541.3
542.7
545.5
539.1
539.8
528.7
527.1
530.3
31.4
39.5
24.1
33.9
34.6
32.9
39.4
42.3
39.9
40.2
31.7
22.6
112.7
28.4
21.7
22.9
26.2
20.4
18.2
40.8
27.3
41.5
45.0
32.6
26.7
28.8
39.4
40.4
30.3
37.1
25.5
34.1
38.8
25.0
25.9
27.3
27.7
28.2
29.0
30.3
31.1
32.1
34.1
36.0
37.3
38.5
40.4
39.9
40.2
39.6
38.1
36.4
36.0
36.3
37.3
37.9
38.3
38.0
37.1
36.0
38.1
37.6
36.7
36.4
36.6
35.7
35.7
35.6
105.6
105.2
117.2
120.1
125.4
135.8
141.7
141.8
142.7
140.0
138.4
139.5
159.7
152.1
147.9
195.7
233.1
277.8
337.1
322.6
339.5
398.1
448.3
379.4
285.2
600.6
741.3
594.4
471.6
437.5
371.1
409.9
471.2
480.6
550.0
562.2
558.5
564.2
569.8
572.5
580.7
590.9
596.6
600.9
595.3
579.5
651.8
640.4
621.8
605.1
593.2
577.2
559.5
564.0
554.0
557.6
564.3
558.9
548.6
541.3
542.7
545.5
539.1
539.8
528.7
527.1
530.3
519.7
Table A.3.—Value of the Resource, Additions, and Depletion of
All Subsoil Assets, Present Discounted Value Method Using
3% Discount Rate
Additions
(1)
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969 ......
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
(2)
155.6
161.1
161.9
163.9
169.3
176.0
181.6
185.1
187.7
188.5
193.1
193.1
191.8
222.0
228.5
231.2
263.4
329.8
409.2
476.9
530.5
554.5
652.4
767.7
774.8
911.8
1,117.9
1,139.6
1,038.4
942.4
841.4
734.4
766.0
812.4
6.1
7.6
3.4
7.9
9.2
7.5
10.0
9.8
9.1
9.2
7.5
4.5
24.7
8.7
5.5
5.6
10.2
7.9
11.4
28.9
19.4
36.4
42.8
35.1
42.4
71.2
86.3
80.4
54.0
54.3
28.1
42.4
50.9
36.3
(3)
5.6
5.7
5.9
6.0
6.2
6.5
6.7
6.8
7.1
7.4
7.6
7.9
8.7
9.0
9.3
9.6
11.9
15.4
20.3
23.3
25.9
30.9
37.3
42.9
62.6
80.6
84.1
76.6
62.7
51.3
37.5
37.3
41.8
43.1
(4)
5.0
-1.1
4.5
3.5
3.5
4.6
.2
-.4
-1.2
2.8
.1
2.1
14.2
6.9
6.4
36.1
68.2
86.8
76.6
48.0
30.5
92.4
109.8
14.9
157.3
215.5
19.6
-105.0
-87.2
-104.2
-97.6
26.5
37.2
-.1
Closing
stock
(1+2-3+4)
Opening
stock
Additions
Depletion
Closing
stock'
(6+7-8)
(6)
(7)
(8)
42.0
52.0
27.5
48.9
54.5
46.8
58.7
60.6
56.9
57.5
44.7
28.6
146.7
41.5
29.3
29.7
37.4
25.9
25.3
57.1
38.6
56.6
60.1
39.3
31.7
37.6
47.8
58.5
47.2
54.3
35.8
54.7
60.7
42.3
34.6
36.5
37.5
38.2
39.3
41.0
42.4
43.7
46.5
48.7
50.7
52.7
55.3
54.8
55.2
55.2
52.9
50.3
50.3
50.5
52.3
53.7
53.9
53.6
51.7
50.2
53.1
52.6
51.3
51.3
52.3
51.3
51.5
51.4
161.1
161.9
163.9
169.3
176.0
181.6
185.1
187.7
188.5
193.1
193.1
191.8
222.0
228.5
231.2
263.4
329.8
409.2
476.9
530.5
554.5
652.4
767.7
774.8
911.8
1,117.9
1,139.6
1,038.4
942.4
841.4
734.4
766.0
812.4
805.4
921.6
929.4
946.0
935.1
946.4
962.6
968.6
986.0
1,003.9
1,014.8
1,024.0
1,017.4
991.3
1,089.1
1,074.7
1,046.7
1,020.3
1,004.0
978.7
953.1
959.8
945.9
949.6
956.7
942.6
922.8
911.0
906.5
914.1
911.3
916.0
900.6
904.1
913.6
7.7
9.5
4.3
9.9
11.6
9.5
12.6
12.3
11.4
11.5
9.4
5.6
31.0
10.9
6.9
6.7
12.1
9.4
13.6
34.4
23.1
43.2
50.7
41.7
50.3
84.6
102.5
95.5
64.1
64.6
33.4
50.4
60.5
43.1
(3)
7.1
7.2
7.4
7.5
7.8
8.2
8.5
8.6
9.0
9.3
9.6
10.0
11.0
11.4
11.7
12.0
14.9
19.2
25.2
28.9
31.8
37.7
45.5
52.3
76.0
97.3
101.8
92.0
75.3
61.5
44.6
44.4
49.7
51.3
(4)
Billions of 1987 dollars
Closing
stock
(1+2-3+4)
(5)
5.9
-1.5
5.5
4.0
3.9
5.3
0
_ -(
-i!5
3.2
.2
2.8
15.3
8.1
7.9
42.2
79.4
101.1
88.9
55.2
35.0
105.6
125.3
16.7
180.2
245.2
21.1
-121.4
-100.1
-119.6
-111.5
29.6
41.5
.4
188.3
189.3
191.6
198.0
205.7
212.3
216.4
219.4
220.4
225.8
225.8
224.2
259.5
267.1
270.3
307.1
383.7
475.0
552.3
613.1
639.3
750.4
881.0
887.1
1,041.6
1,274.2
1,296.0
1,178.1
1,066.9
950.3
827.6
863.2
915.5
907.6
Opening
stock
Additions
Depletion
Closing
stock
(6+7-8)
(6)
(7)
(8)
(9)
52.7
65.3
34.5
61.4
68.4
58.8
73.6
76.0
71.4
72.2
56.1
35.9
184.1
52.1
36.8
35.3
44.4
30.8
30.1
67.8
45.8
67.3
71.4
46.7
37.7
44.7
56.8
69.5
56.0
64.6
42.5
65.0
72.1
50.3
1,086.5
43.6
,105.9
45.9
,093.1
47.3
,106.4
48.1
,125.2
49.5
,132.3
51.7
53.4
,152.6
,173.6
55.0
1.186.4
58.6
,197.1
61.4
,189.3
63.9
66.4
,158.8
69.7
1,273.2
1,256.4
69.0
,223.6
69.6
,190.0
68.9
1,168.3
66.1
1,136.1
62.9
1,103.9
62.3
1,109.1
62.6
64.4 ^ 1,090.5
1,092.3
65.5
1,097.9
65.7
65.4
1,079.3
1,054.2
62.8
1,038.3
60.6
64.2
1,030.8
1,037.1
63.2
1,031.6
61.6
1,034.6
61.5
1,014.9
62.2
1,018.8
61.1
1,029.6
61.3
1,018.7
61.2
1,077.4
1,086.5
1,105.9
1,093.1
1,106.4
1,125.2
1,132.3
,152.6
,173.6
,186.4
,197.1
,189.3
,158.8
,273.2
1,256.4
1,223.6
1,190.0
1,168.3
1,136.1
1,103.9
1,109.1
1,090.5
1,092.3
1,097.9
1,079.3
1,054.2
1,038.3
1,030.8
1,037.1
1,031.6
1,034.6
1,014.9
1,018.8
1,029.6
929.4
946.0
935.1
946.4
962.6
968.6
986.0
1,003.9
1,014.8
1,024.0
1,017.4
991.3
1,089.1
1,074.7
1,046.7
1,020.3
1,004.0
978.7
953.1
959.8
945.9
949.6
956.7
942.6
922.8
911.0
906.5
914.1
911.3
916.0
900.6
904.1
913.6
903.9
•
Table A.4.—Value of the Resource, Additions, and Depletion of
All Subsoil Assets, Present Discounted Value Method Using
10% Discount Rate
(9)
1. Because of the simplifying assumptions used in the calculation of stocks for this method, closing stocks are
not necessarily equal to opening stocks plus additions less depletion. For most years, the differences are very small
(2)
181.9
188.3
189.3
191.6
198.0
205.7
212.3
216.4
219.4
220.4
225.8
225.8
224.2
259.5
267.1
270.3
307.1
383.7
475.0
552.3
613.1
639.3
750.4
881.0
887.1
1,041.6
1,274.2
1,296.0
1,178.1
1,066.9
950.3
827.6
863.2
915.5
RevaluDepleation adtion
justment
Billions of 1987 dollars
Billions of current dollars
(5)
RevaluDepleation adtion
justment
Additions
(D
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Billions of 1987 dollars
Billions of current dollars
Year
Year
Year
Additions
(D
1958
1959
1960 ......
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
(2)
114.7
118.8
119.3
120.8
124.8
129.7
133.8
136.4
138.3
139.0
142.3
142.4
141.4
163.6
168.4
170.4
195.0
245.2
305.5
357.5
399.4
419.1
495.1
584.9
592.7
700.3
862.0
882.1
806.8
735.1
658.7
577.1
602.0
638.4
3.9
4.9
2.2
5.1
6.0
4.9
6.5
6.3
5.9
5.9
4.8
2.9
15.9
5.6
3.6
4.0
7.2
5.6
8.1
20.5
13.7
25.7
30.3
24.8
30.0
50.4
61.0
56.9
38.2
38.4
19.9
30.0
36.0
25.6
(3)
3.6
3.7
3.8
3.9
4.0
4.2
4.3
4.4
4.6
4.8
4.9
5.1
5.6
5.8
6.0
6.2
7.8
10.1
13.4
15.4
17.2
20.6
25.0
29.4
43.2
55.6
58.8
53.8
44.3
36.6
26.5
26.4
29.6
30.6
(4)
3.8
-.6
3.1
2.8
2.9
3.5
.5
0
-.6
2.3
.1
1.3
12.0
5.0
4.4
26.8
50.8
64.8
57.3
36.8
23.2
70.9
84.6
12.3
120.8
166.9
18.0
-78.4
-65.6
-78.2
-74.9
21.3
30.0
-.6
Closing
stock
(1+2-3+4)
Opening
stock
Additions
Depletion
Closing
stock r
(6+7-8)
(5)
RevaluDepleation adtion
justment
(6)
(7)
(8)
(9)
674.6
680.4
692.7
684.7
693.3
705.4
710.0
722.8
736.0
744.0
750.6
745.4
726.1
798.5
788.1
767.7
751.8
743.5
728.4
712.7
720.8
713.4
719.7
728.9
721.6
709.3
702.8
701.9
710.4
710.8
717.3
708.2
711.3
719.0
27.0
33.5
17.7
31.5
35.1
30.2
37.8
39.0
36.6
37.0
28.8
18.4
94.4
26.7
18.9
21.0
26.5
18.3
17.9
40.4
27.3
40.1
42.5
27.8
22.5
26.6
33.8
41.4
33.4
38.4
25.3
38.7
42.9
30.0
22.3
23.6
24.3
24.7
25.4
26.5
27.4
28.2
30.1
31.5
32.8
34.0
35.7
35.4
35.7
35.7
34.4
33.1
33.2
33.5
34.8
35.8
36.1
36.7
35.7
34.6
37.1
36.9
36.2
36.6
37.0
36.3
36.5
36.4
680.4
692.7
684.7
693.3
705.4
710.0
722.8
736.0
744.0
750.6
745.4
726.1
798.5
788.1
767.7
751.8
743.5
728.4
712.7
720.8
713.4
719.7
728.9
721.6
709.3
702.8
701.9
710.4
710.8
717.3
708.2
711.3
719.0
118.8
119.3
120.8
124.8
129.7
133.8
136.4
138.3
139.0
142.3
142.4
141.4
163.6
168.4
170.4
195.0
245.2
305.5
357.5
399.4
419.1
495.1
584.9
592.7
700.3
862.0
882.1
806.8
735.1
658.7
577.1
602.0
638.4
632.9
711.5
1. Because of the simplifying assumptions used in the calculation of stocks for this method, closing stocks are
not necessarily equal to opening stocks plus additions less depletion. For most years, the differences are very small
SURVEY OF CURRENT BUSINESS
Table B.—Alternative Rates of Return, Averages for
1958-91
[Percent]
IEESA based
NIPA
based
Current
rent I
Current
rent II
PDV
3%
rate
PDV
10%
rate
Mining industries .
23.1
5.2
3.5
4.0
5.0
Total private capital
16.1
14.9
14.1
14.4
14.8
NOTE.—In general, rates of return are some measure of income divided by some measure
of capital stock. For the NIPA-based estimates, income is defined as property-type income
(profits, rents, net interest plus indirect business taxes), and capital stock is defined as
structures, equipment, and inventories. In the alternative IEESA methods, income is also
defined as property-type income, but depletion is subtracted from profits, and the value of
additions is added; IEESA capital stock is defined as structures, equipment, and inventories
plus the vaiue of mineral resources.
PDV
Present discounted value
The replacement-cost estimates produced the
lowest values among all the estimates for gas. The
transactions-price estimates produced the lowest
values for oil.
For some of the subsoil asset estimates, especially those employing the current rent method
based on a normal return to invested capital, the
resource stock values and stock changes are quite
low. In certain industries, especially the metals
industries, the estimates were negative (indicated
with an asterisk in the tables). These negative
values indicate that the gross rents in these industries are so low that any procedure that assumes
a normal return to capital in that industry must
attribute a negative residual rent to the resource if
total factor returns are to add up to market output. One can imagine an alternative procedure
that assumes a normal return plus a depletion
allowance and derives a negative residual for the
invested capital associated with the resource.
APPENDIX:
DATA SOURCES A N D M E T H O D S
Current-Dollar Estimates
Petroleum and natural gas
Prices and quantities.—The basic commodity
prices used are the average wellhead prices for oil
and gas from the American Petroleum Institute
(API). The wellhead price for gas includes rents
attributable to natural gas liquids (NGL) that, depending on market conditions, may be separated
downstream. Oil production quantities are from
API and the Department of Energy (DOE) and
include both crude production and lease condensate production, both in millions of barrels.
Natural gas production is marketed production
from API and DOE. Marketed production has not
yet undergone the extraction of NGL. Total rev-
enue for oil and gas production is calculated as
price times quantity produced.
Reserve estimates are from API and DOE for
crude oil and dry gas. The reserve volumes for
oil and gas were augmented for reserves of NGL,
which are reported separately. Additions were set
equal to additions from DOE and API plus any
residual change in stocks not accounted for by
reported flows. The residual arises out of discontinuities in the estimates caused by the different
reserve estimation methods used over the last 40
years.
The basic commodity price data used are yearly
average prices. The large fluctuation in commodity prices, however, makes them unstable and
thus unsuitable for estimating the average or expected returns that investors presumably have in
mind in determining the appropriate price for
long-lived assets such as mineral reserves. In
order to smooth the estimates, a 3-year lagged
average of the yearly average prices is used as the
midyear market price.
Costs.—Data on current production expenditures
and ad valorem and windfall profits taxes are
from API'S Survey of Oil and Gas Expenditures
(SOGE) and, for 1972-81, the Census Bureau's Annual Survey of Oil and Gas (ASOG). "Finding
costs" are obtained as a 3-year moving average
of development expenditures per unit of reserve
added; the source data are from the SOGE and
the ASOG. For years not covered by the SOGE,
estimates of costs were interpolated using an
indicator series.
Capital stock.—The capital stock, depreciation,
and investment estimates are from BE A. BE A
defines investment and capital for mining industries differently from standard industry practice, BEA investment includes capital equipment,
structures, and all exploration and development
expenditures, even those expenditures that are
treated as current expenses by operators, NIPA
capital and investment estimates are available as
an aggregate for oil and gas extraction (sic 13).
The portion of capital for four-digit sic industry
1321, natural gas liquids, was removed from this
series, as this capital is not used in the extraction of oil or gas. Rather, natural gas liquids, a
small piece of sic 13, is a downstream process.
The capital stock of the other four-digit components of sic 13 is considered a part of the capital
required for the extraction of oil and gas; for example, oil and gas field exploration services, sic
industry 1382, is used as inputs for oil and gas
extraction.
April 1994 •
6l
SURVEY OF CURRENT BUSINESS
62 • April 1994
The NIPA investment series for oil and gas extraction from 1959-91 was disaggregated into oil
extraction and gas extraction using the ratio of
expenditures for successful oil wells drilled to expenditures for successful gas wells drilled. For
1947-58, expenditure ratios for oil wells and gas
wells were estimated using the number of successful oil wells and gas wells drilled. These
two investment series were then used to generate current- and constant-dollar capital stock and
depreciation estimates for oil extraction and for
gas extraction.
Other minerals
Inconsistencies in data and a paucity of data for
nonbenchmark years present substantial difficulties in making estimates for other minerals. The
data that do exist are often classified incongruently, or the definitions for series change over
time. For example, Census Bureau data—which
are the only comprehensive data available on production, costs, and revenues—are on an sic basis;
BE A data on capital stocks are on an sic basis
but at a more aggregate level than the Census
data; and Bureau of Mines and DOE data on reserves, production quantities, and prices are on
a commodity basis.
Prices and quantities.—For most minerals, the
basic commodity prices used are 3-year lagged averages of the value of production divided by the
quantity produced for metals and other minerals
from the Bureau of Mines or DOE. For other minerals, a combination of available data on prices,
quantities produced, or value of production is
used to derive missing data on prices or value
of production. Total revenue from current production is equal to the average price times the
quantity produced.
Changing definitions for mineral reserve quantities present significant problems for the construction of consistent time series for mineral
reserves. Prior to 1978, reserves were defined
by the Bureau of Mines as economic reserves,
both demonstrated and inferred; between 1979
and 1986, reserve base was the preferred definition, and this comprised demonstrated (but
not inferred) economic reserves, marginal economic reserves, and part of subeconomic reserves; since 1987, only demonstrated economic
reserves are included in the definition of reserves.
Only the last definition is roughly consistent
with proved reserves in oil and gas. The published estimates showed such large year-to-year
changes—even within subperiods in which re-
serve definitions were unchanged—that BEA has
attempted to develop a consistent, or at least
smoothed, time series for these minerals. The
BEA series use a weighted average that is based
on a constant output-to-reserve ratio and on
a judgmentally scaled moving average of published reserves. (Uranium reserves are based on a
different method that splices DOE'S forward-cost
categories to construct a consistent time series.)
Costs.—Consistent data on production expenditures—current variable costs of extraction, including purchased services—were derived from
the Census Bureau's minerals industries data and
from BEA'S benchmark input-output data.
Capital stock—For census years between 1958 and
1991, data on investment in plant, equipment, and
exploration and development were derived from
the Census Bureau's Census of Mineral Industries.
These investment data were then used to construct industry-specific capital stock estimates for
mineral industries at a level of detail greater than
that at which BEA normally produces estimates.
Constant-Dollar Estimates
Constant-dollar estimates for petroleum, natural gas, and other minerals use 1987 as the base
year. The base-year estimate for resource rent:
was used to calculate constant-dollar series for
the following methods: Current rent, present
discounted value, and, for a shorter period, transactions price. For each method, the 1987 per-unit
resource rent for the value of depletion was multiplied by the physical volume of depletion and
additions to derive the value of depletion and additions, respectively. The constant-dollar value of
the resource stock is the product of the 1987 perunit resource rent and the end-of-year volume of
reserves.
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Michael F. Koehn. "User Cost in Oil Production." Resources and Energy 13 (1991):
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2. Adelman, M. A., John C. Houghton, Gordon
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5. Gordon, Patrice L., and Raymond Prince.
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9. Grambsch, Anne E., and R. Gregory
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11. Hartwick, John, and Anja Hageman. "Economic Depreciation of Mineral Stocks and
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12. Hotelling, Harold. "The Economics of Exhaustible Resources." Journal of Political
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13. Jaszi, George. "Review: An Economic Accountant's Ledger," in "The Economic Accounts of the United States: Retrospect and
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no. 7, Part 11, 50th anniversary issue (July
1971): 221-225.
14. Jaszi, George. "The Conceptual Basis of the
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22, 93-94. New York: University Press, 1958.
15. Landefeld, J. Steven, and James R. Hines.
"Valuing Non-Renewable Natural Resources
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16. Lutz, Ernst, editor. Toward Improved Accounting for the Environment Washington,
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17. Lutz, Ernst, and Henry M. Peskin. "A Survey of Resource and Accounting Approaches
in Industrialized Countries." In Toward Improved Accounting for the Environment, edited
by Ernst Lutz, 144-176. Washington, DC: The
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18. Nordhaus, William D. "The Allocation of
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19. Nordhaus, William D., and James Tobin. "Is
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20. Organisation for Economic Co-operation
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Pollution Abatement: An Overview of the
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21. Paddock, James L., Daniel R. Siegel, and
James L. Smith.
"Option Valuation of
Claims on Real Assets: The Case of Offshore
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22. Peskin, Henry M. "A Proposed Environmental Accounts Framework." In Environmental Accounting for Sustainable Development,
edited by Yusuf J. Ahmad, Salah El Serafy,
and Ernst Lutz. Washington, DC: The World
Bank, 1989.
23. Peskin, Henry M., with Ernst Lutz. "A Survey of Resource and Environmental Accounting Approaches in Industrialized Countries."
In Toward Improved Accounting for the Environment, edited by Ernst Lutz, 144-176.
Washington, DC: The World Bank, 1993.
24. Rasmussen, Jon A. "Finding Costs and the
Make-or-Buy Decision for Oil and Gas Producers in 1982-1986." Petroleum Accounting
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25. Repetto, Robert, William Magrath, Michael
Wells, Christine Beer, and Fabrizo Rossini.
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26. Soladay, John J. "Measurement of Income
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Studies in Income and Wealth, vol. 45, 347376. Chicago: The University of Chicago
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27. Solow, Robert. "An Almost Practical Step
Toward Sustainability." Print of an invited
lecture on the occasion of the 40th anniversary of Resources for the Future. October
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28. Stauffer, Thomas S. "Accounting for 'Wasting Assets3: Measurement of Income and
Dependency in Oil-Renter States." Journal
of Energy and Development 11, no. 1 (1986):
69-93.
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Action for Sustainable Development. Department of Public Information. New York:
United Nations, 1992, chapters 8 and 40.
30. United Nations. Integrated Environmental
and Economic Accounting (interim version).
Studies in Methods, Handbook of National
Accounting, series F, no. 61. New York:
United Nations, 1993.
31. System of National Accounts 1993. Brussels:
Commission of the European Communities,
International Monetary Fund, Organisation
for Economic Co-operation and Development, United Nations, and World Bank,
1993.
32. United States Department of Commerce.
Bureau of Economic Analysis. Fixed Reproducible Tangible Wealth in the United States,
1925-89. Washington, DC: U.S. Government
Printing Office, January 1993.
33. United States Department of Commerce.
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in Economic Accounting." SURVEY OF CURRENT BUSINESS 73, no. 2 (February 1993):
43-4434. World Commission on Environment and
Development. Our Common Future. Oxford:
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35. Wright, Gavin. "The Origins of American Industrial Success, 1879-1940." American
Economic Review 80, no. 4 (September 1990):
651-668.
Tables 1.1 through 5.4 follow. S!
April 1994
SURVEY OF CURRENT BUSINESS
•
65
Table 1.1.—Value of the Resource, Additions, and Depletion of
Oil, Current Rent Method I (Rate of Return)
Table 1.2.—Value of the Resource, Additions, and Depletion of
Oil, Current Rent Method II (Value of Capital)
[Billions of current dollars]
[Billions of current dollars]
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
(1)
Year
()
2
26.1
34.9
37.4
38.8
39.6
36.3
38.9
43.2
48.2
47.6
46.3
47.2
43.3
42.1
41.8
40.8
42.0
41.3
40.4
40.0
42.5
41.6
40.5
55.7
55.3
51.2
77.9
86.8
104.7
118.7
124.1
137.9
192.5
295.4
298.3
382.4
481.6
454.1
332.1
226.1
144.7
80.2
91.9
123.3
2.4
5.7
4.5
4.1
6.4
3.5
4.3
4.0
4.6
4.6
3.5
4.1
5.2
3.3
3.5
2.9
3.1
3.6
4.0
3.9
4.1
3.3
2.8
16.7
3.3
2.1
3.6
3.8
3.5
4.2
13.4
9.8
7.1
19.0
20.6
19.8
54.9
62.1
43.9
16.1
23.1
6.1
6.0
9.2
5.3
Depletion Revaluation
adjustment
()
3
1.8
3.0
2.5
3.0
3.2
2.8
3.0
3.2
3.9
3.9
3.8
3.6
3.5
3.3
3.3
3.3
3.6
3.6
3.5
3.7
4.1
4.2
4.3
4.6
4.7
4.4
5.4
5.8
7.3
10.0
10.7
11.3
12.9
18.9
22.8
38.6
54.7
51.6
43.5
30.2
20.7
7.1
7.0
10.3
13.0
(4)
Year
(5)
26.1
6.1
.5
.3
-2.5
-3.9
34.9
37.4
38.8
39.6
36.3
1.2
3.6
4.2
-1.3
-1.0
38.9
43.2
48.2
47.6
46.3
47.2
43.3
42.1
41.8
40.8
42.0
41.3
40.4
40.0
42.5
41.6
40.5
55.7
55.3
51.2
77.9
86.8
104.7
A
-5.6
-1.1
-.6
-.5
1.6
-.7
-1.4
-.6
2.5
-.1
.4
3.1
1.0
-1.8
28.5
10.9
21.7
19.8
2.7
15.4
60.4
102.8
5.2
102.9
118.7
124.1
137.9
192.5
295.4
-38.0
-122.4
298.3
382.4
481.6
454.1
332.1
-91.9
226.1
-83.9
-63.4
144.7
80.2
12.8
32.5
11.1
123.3
126.8
99.0
91.9
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
....
. . .
Opening
stock
Additions
(D
Closing stock
(1+2-3+4)
(2)
31.3
40.9
45.6
46.8
48.5
46.1
49.7
55.5
60.3
61.0
61.4
65.4
62.6
62.2
61.5
60.4
60.2
595
58.9
57.7
58.8
56.8
54.8
80.7
80.6
78.4
94.9
121.9
149.0
164.8
178.1
194.9
257.2
362.5
396.2
496.9
579.3
547.7
435.6
325.9
241.2
187.5
215.4
250.6
3.0
6.7
5.5
4.9
7.8
4.5
5.5
5.2
5.8
6.0
4.7
5.7
7.4
4.8
5.2
4.3
4.5
5.2
5.9
56
.
5.7
4.6
38
.
23.7
4.9
3.3
4.7
6.0
5.5
6.1
19.6
14.7
10.8
26.2
30.2
26.3
65.4
74.2
55.4
21.9
34.2
15.9
16.4
20.2
10.3
Depletion Revaluation Closing stock
adjustment (1+2-3+4)
(3)
2.2
3.5
3.1
3.6
3.9
3.6
3.8
4.1
4.8
5.0
5.0
5.0
5.0
4.9
4.9
4.9
5.1
5.1
5.1
53
.
5.7
5.8
59
.
6.5
6.9
7.0
7.0
9.0
11.5
14.4
15.6
17.1
19.7
26.1
33.5
51.4
65.1
61.7
54.8
41.3
30.6
18.5
19.3
22.6
25.0
(4)
6.4
2.3
-.2
-2.3
-3.2
1.8
4.8
3.8
-.2
.7
3.3
-5.3
-.3
-1.0
-.6
.5
-.7
-1.3
15
.
1.1
.8
0
8.7
2.0
1.5
18.7
30.1
33.0
24.1
9.3
19.2
71.2
105.2
37.0
125.7
82.1
-44.1
-112.6
-90.4
-88.3
-51.1
30.8
37.6
5.8
(5)
31.3
40.9
45.6
46.8
48.5
46.1
49.7
55.5
60.3
61.0
61.4
65.4
62.6
62.2
61.5
60.4
60.2
59.5
58.9
57.7
58.8
56.8
54.8
80.7
80.6
78.4
94.9
121.9
149.0
164.8
178.1
194.9
257.2
362.5
396.2
496.9
579.3
547.7
435.6
325.9
241.2
187.5
215.4
250.6
241.7
SURVEY OF CURRENT BUSINESS
66 • April 1994
Table 1.3.—Value of the Resource, Additions, and Depletion of
Oil, Present Discounted Value Method Using 3% Discount Rate
Table 1.4.—Value of the Resource, Additions, and Depletion of
Oil, Present Discounted Value Method Using 10% Discount Rate
[Billions of current dollars]
[Billions of current dollars]
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(2)
(3)
(4)
(5)
26.8
35.0
39.0
40.0
41.4
39.5
42.5
47.5
51.6
52.2
52.5
56.0
53.5
53.2
52.6
51.6
51.5
50.9
50.4
49.3
50.3
48.6
46.9
69.0
68.9
67.1
81.3
104.8
128.3
142.3
154.1
169.0
223.6
315.9
346.0
435.0
508.3
481.7
383.9
287.9
213.6
166.4
191.1
222.4
5.3
4.4
3.9
6.2
3.6
4.4
4.1
4.6
4.8
3.7
4.5
5.9
3.8
4.2
3.5
3.5
4.1
4.7
4.4
4.5
3.7
3.1
18.9
3.9
2.6
4.0
5.1
4.7
5.2
16.5
12.4
9.1
22.1
25.4
22.2
55.0
62.5
46.6
18.5
28.8
13.4
13.8
17.0
8.7
1.8
2.8
2.5
2.8
3.1
2.9
3.0
3.3
3.8
4.0
4.0
4.0
4.0
3.9
3.9
3.9
4.0
4.1
4.1
4.2
4.5
4.6
4.7
5.2
5.5
5.5
5.6
7.2
9.2
11.6
12.6
13.9
16.1
21.4
27.5
42.3
54.0
51.0
45.7
34.4
25.5
15.6
16.2
19.0
21.0
5.7
2.1
-.1
-1.7
-2.7
1.7
4.2
3.3
-.1
.6
2.9
-4.4
-.3
-.9
-.5
.3
-.6
-1.1
-1.3
.9
-.8
-.1
8.4
1.5
1.1
15.9
25.6
28.1
20.4
7.9
16.4
61,6
91.6
32.2
109.1
72.2
-38.1
-98.6
-80.2
-77.7
-45.0
27.2
33.2
4.4
26.8
35.0
39.0
40.0
41.4
39.5
42.5
47.5
51.6
52.2
52.5
56.0
53.5
53.2
52.6
51.6
51.5
50.9
50.4
49.3
50.3
48.6
46.9
69.0
68.9
67.1
81.3
104.8
128.3
142.3
154.1
169.0
223.6
315.9
346.0
435.0
508.3
481.7
383.9
287.9
213.6
166.4
191.1
222.4
214.5
Year
1947
1948
1949
1950
1951
1952
1953
1954
1955 . .
1956
1957
1958
1959
1960
1961
1962
1963
1964
.
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(D
Opening
stock
(1)
Year
(2)
(3)
(4)
(5)
19.8
25.8
28.8
29.5
30.6
29.1
31.3
35.0
38.0
38.5
38.7
41.3
39.5
39.2
38.8
38.1
37.9
37.5
37.1
36.4
37.1
35.8
34.5
50.9
50.8
49.4
60.2
77.9
95.8
106.7
116.0
127.7
169.7
240.7
264.7
334.1
391.9
372.8
298.3
224.6
167.2
130.8
150.2
174.8
3.4
2.8
2.5
4.0
2.3
2.8
2.6
3.0
3.1
2.4
2.9
3.8
2.5
2.7
2.2
2.3
2.7
3.0
2.9
2.9
1.1
1.8
1.6
1.8
2.0
1.8
2.0
2.1
2.5
2.6
2.6
2.6
2.6
2.5
2.5
2.5
2.6
2.6
2.6
2.7
2.9
2.4
3.0
.6
2.0
12.2
2.5
1.7
2.8
3.6
3.0
3.3
3.6
3.6
3.6
4.7
3.3
3.6
6.0
7.7
11.7
8.8
6.4
15.6
18.0
15.7
38.9
44.2
33.0
13.1
20.4
9.5
9.7
12.1
8.4
9.2
10.8
14.3
18.8
29.2
37.2
35.7
32.1
24.3
18.2
11.0
11.5
13.5
14.9
-.2
7.5
1.0
.5
11.6
18.8
20.7
14.9
6.0
12.2
46.2
69.7
24.9
82.9
56.1
-27.6
-75.4
-62.6
-59.5
-34.9
21.2
26.0
6.1
4.4
1.7
.1
-1.0
-1.9
1.4
3.1
2.5
0
.4
2.2
-3.0
-.2
-.6
-.4
.2
-.5
-.8
-.9
.7
2.5
19.8
25.8
28.8
29.5
30.6
29.1
31.3
35.0
38.0
38.5
38.7
41.3
39.5
39.2
38.8
38.1
37.9
37.5
37.1
36.4
37.1
35.8
34.5
50.9
50.8
49.4
60.2
77.9
95.8
106.7
116.0
127.7
169.7
240.7
264.7
334.1
391.9
372.8
298.3
224.6
167.2
130.8
150.2
174.8
168.5
April 1994 •
SURVEY OF CURRENT BUSINESS
Table 1.5.—Value of the Resource, Additions, and Depletion of
Oil, Replacement Cost Method
Table 2.1.—Value of the Resource, Additions, and Depletion of
Gas, Current Rent Method I (Rate of Return)
[Billions of current dollars]
6j
[Billions of current dollars]
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(D
Year
(2)
(3)
(4)
(5)
1.0
1.6
1.2
1.4
1.4
1.3
1.2
1.4
1.9
1.9
2.0
2.0
2.1
2.1
1.9
1.9
2.1
2.3
2.4
2.7
2.8
2.7
3.4
3.3
3.2
2.9
2.8
3.1
2.6
4.8
6.3
7.8
8.7
10.9
13.2
23.8
33.4
33.2
28.6
22.1
16.2
11.6
11.2
9.7
8.0
1.3
3.1
2.1
1.9
2.7
1.6
1.8
1.8
2.2
2.2
1.8
2.3
3.2
2.1
2.1
1.7
1.8
2.3
2.8
2.8
2.8
2.1
2.2
11.9
2.2
1.4
1.9
2.0
1.2
2.0
7.9
6.7
4.8
10.9
11.9
12.2
33.5
40.0
28.9
11.7
18.2
10.0
9.5
8.7
3.3
14.2
19.2
17.7
18.3
17.2
16.7
16.4
19.8
23.6
23.6
24.4
26.3
26.7
26.9
24.3
23.9
24.2
26.6
28.2
29.4
29.2
26.9
32.3
39.4
37.2
34.0
42.3
49.0
43.4
58.7
74.4
95.1
128.4
179.5
182.6
237.9
291.8
293.2
219.5
166.8
119.8
118.7
125.4
110.2
-2.5
-.8
-.8
3.1
3.4
-.4
.9
1.6
-.5
.2
-2.7
-.2
.6
2.4
1.3
1.0
-.1
-1.7
6.5
-1.5
-1.3
-1.7
9.2
7.7
-4.3
18.1
14.1
21.7
37.2
51.1
4.5
66.8
53.8
-5.4
-73.9
-42.4
-49.0
.5
8.4
-14.2
-27.6
[Billions of current dollars]
Opening
stock
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(1)
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
(2)
(3)
(4)
(5)
93.7
113.4
150.2
154.0
152.1
121.7
81.4
72.0
66.0
58.2
35.7
13.2
17.2
37.1
10.8
7.5
7.2
16.6
12.4
9.4
8.8
10.4
7.0
4.1
5.8
1.4
1.2
1.6
2.2
8.6
8.7
13.2
16.5
13.8
18.4
8.8
8.6
7.0
7.7
5.1
1.6
1.5
1.8
5.3
20.9
42.7
3.7
-.5
-21.5
-40.3
-11.1
-6.1
-4.2
-23.1
-22.3
4.3
20.0
11.1
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(2)
(3)
(4)
(5)
0
n
n
n
n
n
.
.
.
fl
H
0
n
0
0
n
h
0
n
8
*)
n
n
.3
0
0
0
n
n
n
.5
O
0
n
n
n
8
3.1
1.1
2.7
.3
,1
2.7
2.6
4.1
.2
.3
.3
.1
.1
.2
1.8
-.3
1.5
.5
4.8
77
.3
.6
.3
.4
2.9
1.8
7.7
9.7
.8
.9
1.0
1.0
.9
1.0
.6
.4
1.9
.5
.3
.2
.2
.4
.7
2.3
2.3
3.9
6.3
.8
3.0
10.1
15.6
10.6
10.0
6.9
-.4
2.1
4.1
2.8
.5
.7
.8
.8
.8
.8
.9
1.0
1.1
1.1
.8
.8
.6
.8
2.1
3.6
4.1
5.4
5.2
.7
3.0
11.0
18.5
14.1
11.3
9.3
3.6
2.2
3.7
3.2
1.3
2.4
.2
-.7
11.2
13.9
14.3
13.9
13.3
14.3
14.2
14.2
15.8
15.0
11.6
14.0
15.8
21.1
38.2
51.7
59.1
77.9
86.7
41.3
61.5
161.6
209.8
140.9
105.1
78.6
30.3
24.7
35.3
31.1
3.1
9.7
11.2
13.9
143
13.9
13.3
14.3
14.2
14.2
15.8
15.0
11.6
14.0
15.8
21.1
38.2
51.7
59.1
77.9
86.7
41.3
61.5
161.6
209.8
140.9
105.1
78.6
30.3
24.7
35.3
.8
.2
.6
.8
-.2
-2.9
3.0
2.3
5.6
18.4
14.9
9.2
20.3
7.8
-45.6
20.2
100.9
51.1
-65.4
34 6
-24.0
-44.3
-5.5
10.1
-3.8
2.6
4.1
4.8
* Indicates that the calculated value of the entry was negative, resulting from a negative resource rent. Because
a negative resource rent is simply the mechanical result of treating resource rent as a residual after the deduction
of other factor payments, the values have been replaced by asterisks. Where the resource rent was negative in
the base year (1987) for individual mineral types, the average for the 3 year period, 1987-89, was substituted for
the 1987 rent for the purpose of calculating constant-dollar estimates shown in tables B.1 through B.4. Where the
1987-89 average was negative, a base year price of zero was used for the constant-dollar estimates.
Table 1.6.—Value of the Resource, Additions, and Depletion of
Oil, Transaction Price Method
Year
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Additions
(D
14.2
19.2
17.7
18.3
17.2
16.7
16.4
19.8
23.6
23.6
24.4
26.3
26.7
26.9
24.3
23.9
24.2
26.6
28.2
29.4
29.2
26.9
32.3
39.4
37.2
34.0
42.3
49.0
43.4
58.7
74.4
95.1
128.4
179.5
182.6
237.9
291.8
293.2
219.5
166.8
119.8
118.7
125.4
110.2
77.8
3.5
-2.4
.1
Opening
stock
Year
93.7
113.4
150.2
154.0
152.1
121.7
81.4
72.0
66.0
58.2
35.7
13.2
17.2
37.1
45.1
68 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.2.—Value of the Resource, Additions, and Depletion of
Gas, Current Rent Method II (Value of Capital)
Table 2.3— Value of the Resource, Additions, and Depletion of
Gas, Present Discounted Value Method Using 3% Discount Rate
[Billions of current dollars]
[Billions of current dollars]
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988 ...
..
1989
1990
1991
Opening
stock
Additions
(1)
Year
(2)
6.1
7.2
7.5
7.7
8.1
8.6
10.6
12.8
15.7
17.1
18.2
20.7
21.4
23.9
26.0
28.1
29.7
30.1
30.1
29.6
30.7
29.9
28.2
30.9
29.4
27.8
29.2
35.2
48.9
67.8
85.1
99.9
126.1
145.6
138.8
217.3
326.9
344.1
295.3
259.3
202.2
134.2
129.5
136.9
0.3
.5
.4
.5
.6
.5
.9
.5
1.4
1.7
1.4
1.4
1.6
1.2
0.1
.2
.2
.2
.3
.3
.4
.5
.6
.7
.7
.8
.9
1.1
1.6
1.9
1.9
2.1
2.2
2.0
2.2
1.2
1.3
1.9
2.0
2.2
2.3
2.2
2.2
2.4
3.2
4.8
.8
3.8
1.0
.9
.6
.9
1.7
1.8
4.3
4.6
7.7
13.7
12.1
16.7
22.3
25.7
20.6
21.5
14.9
-1.8
12.4
16.1
12.2
1.3
1.5
1.6
1.6
1.7
1.8
6.9
8.3
10.6
11.3
10.6
16.9
24.2
30.5
27.4
24.1
20.3
14.7
13.1
14.3
14.0
Revaluation
adjustment
(5)
.7
.1
-.1
.1
.3
1.5
2.2
2.0
.5
.5
1.8
.1
2.4
1.8
1.5
1.1
-.1
-.8
.7
_2
-.4
1.1
-.3
-.3
3.0
7.5
15.1
22.0
19.9
18.5
29.1
17.2
-8.4
78.8
111.5
22.0
-42.0
-33.3
-51.8
-51.4
-4.1
5.7
-2.3
6.1
7.2
7.5
7.7
8.1
8.6
10.6
12.8
15.7
17.1
18.2
20.7
21.4
23.9
26.0
28.1
29.7
30.1
30.1
29.6
30.7
29.9
28.2
30.9
29.4
27.8
29.2
35.2
48.9
67.8
85.1
99.9
126.1
145.6
138.8
217.3
326.9
344.1
295.3
259.3
202.2
134.2
129.5
136.9
132.8
Year
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
....
.
Opening
stock
Additions
Depletion
(1)
Closing stock
(1+2-3+4)
(4)
Depletion
(2)
(3)
5.2
6.1
6.4
6.6
6.9
7.3
9.1
11.0
13.4
14.6
15.6
17.7
18.3
20.4
22.3
24.1
25.4
25.7
25.8
25.3
26.2
25.6
24.2
26.5
25.1
23.8
25.0
30 3
42.1
58.5
73.7
86.6
109.6
126.9
121.2
190.2
286.9
302.6
260.3
229.1
179.0
119.1
114.9
121.5
.4
.3
.4
.5
.4
.7
.4
1.1
1.3
1.1
1.1
1.3
.9
1.3
1.6
1.5
1.7
1.7
1.6
1.7
1.1
.
6
3.0
.8
.7
.5
.8
1.4
1.5
3.6
3.9
6.5
11.7
10.2
14.1
18.7
21.6
17.3
18.1
12.6
-1.5
10.4
13.5
10.3
0.1
.2
.2
.2
.2
.2
.3
.4
.5
.5
.6
.7
.7
.8
.0
.1
?
.3
.3
.3
14
15
.
16
.
1.7
1.8
1.8
1.8
1.9
2.6
3.9
5.5
6.8
8.7
9.4
8.7
13.9
20.0
25.2
22.8
20.1
16.9
12.4
11.0
12.0
11.8
Revaluation Closing stock
adjustment (1+2-3+4)
(4)
.6
.1
-.1
.1
2
1.3
1.9
1.8
.4
.4
1.6
.1
2.1
1.5
1.3
1.0
1
-.4
-.7
.6
-.2
-4
.
1.0
-.4
-.3
2.5
6.4
12.9
18.8
17.0
15.9
25.2
15.0
-7.2
68.9
97.9
19.3
-36.8
-29.2
^5.8
-46.0
-3.7
51
.
-2.2
(5)
5.2
6.1
6.4
6.6
6.9
7.3
9.1
11.0
13.4
14.6
15.6
17.7
18.3
20.4
22.3
24.1
25.4
25.7
25.8
25.3
26.2
25.6
24.2
26.5
25.1
23.8
25.0
30.3
42.1
58.5
73.7
86.6
109.6
126.9
121.2
190.2
286.9
302.6
260.3
229.1
179.0
119.1
114.9
121.5
117.8
April 1994 •
SURVEY OF CURRENT BUSINESS
69
Table 2.4.—Value of the Resource, Additions, and Depletion of
Gas, Present Discounted Value Method Using 10% Discount Rate
Table 2.5.—Value of the Resource, Additions, and Depletion of
Gas, Replacement Cost Method
[Billions of current dollars]
[Billions of current dollars]
1947 .
1948 .
1949.
1950.
1951 .
1952 .
1953.
1954.
1955 .
1956 .
1957.
1958.
1959.
1960.
1961 .
1962 .
1963 .
1964.
1965 .
1966.
1967.
1968.
1969.
1970 .
1971 .
1972 .
1973.
1974 .
1975 .
1976 .
1977 .
1978.
1979 .
1980 .
1981 .
1982.
1983 .
1984.
1985 .
1986.
1987.
1990.
1991 .
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(2)
(3)
(4)
Opening
stock
(5)
3.9
4.5
4.7
4.8
5.1
5.4
6.7
8.1
9.9
10.8
11.5
13.0
13.5
.3
.2
.2
.3
.3
.5
.3
.7
.9
.7
.7
.8
.6
.8
1.0
15.1
16.4
17.7
18.7
19.0
1.0
1.1
1.1
19.0
1.0
18.7
19.3
18.8
17.8
19.5
18.5
1.1
.7
.4
1.9
.5
.5
.3
.5
1.0
0.1
.1
.1
.1
.1
.2
.2
.2
.3
.4
.4
.4
.5
.5
.6
.7
17.5
18.5
22.5
31.4
43.9
55.5
65.5
83.2
96.7
92.7
146.1
221.2
234.2
202.2
178.7
140.1
93.6
90.3
95.5
1.0
2.6
2.7
4.6
8.2
7.2
9.9
13.3
15.3
12.3
12.8
8.9
-1.0
7.4
9.6
7.3
.9
.9
1.0
1.0
1.1
1.2
1.1
1.1
1.3
1.7
2.6
3.7
4.5
5.8
6.3
6.0
9.6
13.8
17.6
16.0
14.2
12.1
8.8
7.8
8.5
8.3
.5
.1
0
.1
.2
1.0
1.4
1.4
.4
.4
1.2
.1
1.5
1.2
1.0
.8
0
-.3
-.5
.5
-.2
-.4
.9
-.4
-.3
1.8
4.7
9.6
14.0
12.7
11.8
18.9
11.6
-5.2
53.1
75.6
15.4
-28.2
-22.2
-35.4
-36.7
-2.9
4.1
-1.8
3.9
4.5
4.7
4.8
5.1
5.4
6.7
8.1
9.9
10.8
11.5
13.0
13.5
15.1
16.4
17.7
18.7
19.0
19.0
18.7
19.3
18.8
17.8
19.5
18.5
17.5
18.5
22.5
31.4
43.9
55.5
65.5
83.2
96.7
92.7
146.1
221.2
234.2
202.2
178.7
140.1
93.6
90.3
95.5
92.6
Year
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
(1)
Opening
stock
(D
Year
(2)
(3)
(4)
(5)
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
n
n
n
n
n
n
n
n
n
a
0
n
n
0
n
n
n
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
0
0
n
n
n
n
n
8
1.8
1.3
1.6
n
n
n
n
n
n
n
i(2
8
n
n
n
n
n
n
.1
0
.1
.2
0.1
.7
O
.1
0
.1
1.3
1.6
.7
.2
.9
0
.8
1.5
2.0
.3
.1
.2
4.7
.4
.3
6.1
72
.5
5
.4
.3
6.4
.4
.4
.2
1.5
2.0
4.7
6.1
7.2
6.4
6.6
6.6
4.9
.3
.3
-1.8
4.9
.1
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
1.0
n
n
n
n
n
n
n
n
n
8
2.8
5.5
2.0
8.2
10.7
9.4
9.0
9.2
6.6
6.2
6.8
6.6
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
7.7
5.8
81.2
112.5
120.5
95.3
87.5
85.6
61.8
62.0
65.1
O
8
3.4
2.3
5.5
7.5
9.0
7.1
8.0
6.8
5.9
5.9
27.6
53.9
48.3
.5
2.6
1.4
.9
-1.0
1.0
0
27.6
53.9
81.2
48.3
112.5
120.5
95.3
87.5
85.6
61.8
62.0
65.1
62.1
25.7
-5.8
33.0
31.9
9.7
-22.8
-6.9
.6
-23.1
.5
2.3
-2.2
* Indicates that the calculated value of the entry was negative, resulting from a negative resource rent. Because
a negative resource rent is simply the mechanical result of treating resource rent as a residual after the deduction
of other factor payments, the values have been replaced by asterisks. Where the resource rent was negative in
the base year (1987) for individual mineral types, the average for the 3 year period, 1987-89, was substituted for
the 1987 rent for the purpose of calculating constant-dollar estimates shown in tables B.1 through B.4. Where the
1987-89 average was negative, a base year price of zero was used for the constant-dollar estimates.
Table 2.6.—Value of the Resource, Additions, and Depletion of
Gas, Transaction Price Method
[Billions of current dollars]
Opening
stock
1977
1978
1979 .
1980
1981
1982
1983
1984
1985
1986 .
1987 ...
1988
1989
1990
1991
...
.
.
Additions
Depletion
Revaluation
adjustment
Closing stock
(1+2-3+4)
d)
Year
(2)
(3)
(4)
(5)
129.5
144.8
186.8
198.1
210.6
184.6
141.0
126.8
118.7
115.9
81.2
42.7
44.0
67.2
7.7
6.3
12.2
24.8
20.4
21.4
10.1
10.1
7.4
9.6
6.5
-.6
4.2
5.5
8.1
12.2
11.4
16.8
20.5
17.9
21.7
11.0
12.0
9.9
10.7
8.8
4.9
4.4
4.9
9.3
20.3
46.7
7.0
10.0
-25.7
-42.7
-12.3
-5.6
-1.7
-32.3
-33.0
1.5
22.5
16.3
129.5
144.8
186.8
198.1
210.6
184.6
141.0
126.8
118.7
115.9
81.2
42.7
44.0
67.2
82.3
JO • April 1994
SURVEY OF CURRENT BUSINESS
Table 3.1.—Value of the Resource, Additions, and Depletion of
Coal, Current Rent Method I (Rate of Return)
Table 3.3.—Value of the Resource, Additions, and Depletion of
Coal, Present Discounted Value Method Using 3% Discount Rate
[Billions of current dollars]
[Billions of current dollars]
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
(D
Year
(2)
(3)
0.2
.2
.1
.4
.5
.7
.7
.7
.6
.5
.5
.4
.5
.5
.5
.6
1.5
2.3
3.0
4.2
.6
11.8
6.9
2.4
5.9
.1
6.1
7.7
7.5
4.4
5.8
4.5
7.0
4.6
9.8
9.7
11.5
12.5
13.0
14.4
16.3
16.2
16.0
15.3
14.1
13.0
13.1
15.6
15.3
16.8
24.9
41.9
61.5
75.1
77.5
66.2
83.3
92.2
91.9
100.4
103.2
127.0
134.4
140.7
143.0
138.3
134.9
137.5
Revaluation Closing stock
adjustment
(1+2-3+4)
(5)
(4)
0.2
.3
.3
.3
.4
.4
.4
.4
.4
.4
.4
.3
.4
.4
.5
.5
1.0
1.7
2.4
2.5
2.1
2.6
3.0
3.0
3.3
3.4
4.8
4.9
5.1
5.4
5.3
5.3
5.6
5.3
9.7
11.5
12.5
13.0
14.4
16.3
16.2
16.0
15.3
14.1
13.0
13.1
15.6
15.3
16.8
24.9
41.9
61.5
75.1
77.5
66.2
83.3
92.2
91.9
100.4
103.2
127.0
134.4
140.7
143.0
138.3
134.9
137.5
134.4
-0.1
1.8
1.2
.4
1.3
1.7
-.5
-.4
-.8
-1.3
-1.3
0
2.5
-.3
1.4
8.0
16.5
18.9
13.0
.7
-9.9
7.9
4.9
.4
5.9
6.1
22.4
4.6
4.0
3.2
-5.2
-2.5
1.2
-2.4
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979 ..
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
(1)
Year
(2)
(3)
0.4
.4
.2
.6
.7
.8
.9
.9
.8
.7
.8
.6
.7
.8
.9
1.1
2.2
3.0
3.8
5.7
1.0
18.8
11.2
4.0
9.7
.2
8.0
9.7
9.2
5.3
6.9
5.4
8.2
5.5
19.4
19.2
19.9
20.2
20.7
21.4
22.2
21.7
21.3
20.7
20.2
20.4
21.3
23.7
26.6
29.2
38.7
57.1
79.1
96.1
107.7
110.3
134 4
151.2
158 9
169 0
170.4
175.3
180 0
183.4
180 8
174.9
169.7
169.3
Revaluation Closing stock
adjustment
(1+2-3+4)
(4)
0.4
.4
.5
.5
.5
.5
.6
.6
.6
.5
.5
.6
.6
.7
.8
.9
1.4
2.1
2.9
3.3
3.3
4.1
4.7
5.0
5.3
5.2
6.1
6.1
6.2
6.4
6.3
6.3
6.5
6.3
(5)
19.2
19.9
20.2
20.7
21.4
22.2
21.7
21.3
20.7
20.2
20.4
21.3
23.7
26.6
29.2
38.7
57.1
79.1
96.1
107.7
110.3
134.4
151.2
158.9
169.0
170.4
175.3
180.0
183.4
180.8
174.9
169.7
169.3
167.3
-0.1
.8
.6
.4
.4
.6
-.9
-8
-.7
-.7
-.1
.9
2.3
2.7
2.5
9.4
17.5
21.0
16.1
9.2
4.8
9.4
10.2
8.6
5.7
6.5
3.0
1.1
.3
-1.5
-6.4
-4.2
-2.0
-1.2
Table 3.2.—Value of the Resource, Additions, and Depletion of
Coal, Current Rent Method II (Value of Capital)
Table 3.4.—Value of the Resource, Additions, and Depletion of
Coal, Present Discounted Value Method Using 10% Discount Rate
[Billions of current dollars]
[Billions of current dollars]
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
(D
Year
(2)
(3)
22.7
22.4
23.2
23.6
24.2
25.0
26.0
25.4
24.9
24.2
23.6
23.8
24.9
27.7
31.1
34.1
45.2
66.4
91.8
111.3
124.5
127.2
154.6
173.5
181.9
193.0
194.2
199.4
204.3
207.7
204.2
197.2
191.3
190.8
0.5
.5
.3
.7
.9
1.0
1.2
1.1
1.0
.9
.9
.7
.9
1.0
1.1
1.3
2.6
3.6
4.6
6.8
1.2
22.3
13.3
4.8
11.5
.2
9.6
11.5
11.0
6.3
8.2
6.4
9.7
6.5
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
(4)
0.5
.6
.6
.6
.6
.7
.7
.7
.7
.7
.7
.7
.8
.8
1.0
1.1
1.7
2.6
3.6
4.1
4.0
5.0
5.7
6.0
6.4
6.3
7.4
7.4
7.4
7.6
7.5
7.5
7.8
7.5
-0.2
.9
.7
.5
.5
.6
-1.1
-.9
-.9
—9
-'1
1.1
2.7
3.2
2.9
10.9
20.3
24.4
18.6
10.4
5.5
10.1
11.3
9.7
6.1
7.3
3.0
.7
-.2
-2.1
-7.7
-4.7
2.4
-1.3
22.4
23.2
23.6
24.2
25.0
26.0
25.4
24.9
24.2
23.6
23.8
24.9
27.7
31.1
34.1
45.2
66.4
91.8
111.3
124.5
127.2
154.6
173.5
181.9
193.0
194.2
199.4
204.3
207.7
204.2
197.2
191.3
190.8
188.6
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970 .
1971
1972
1973 .
1974
1975
1976
1977
1978
1979 .
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
(D
Year
(2)
(3)
14.3
14.1
14.6
14.9
15.3
15.8
16.4
16.0
15.7
15.3
14.9
15.0
15.7
17.5
19.6
21.5
28.7
42.4
59.0
72.1
81.1
83.4
102.0
115.2
121.6
129.8
131.4
135.7
139.9
143.1
141.6
137.5
133.4
133.1
0.2
.2
.1
.4
.5
.5
.6
.6
.5
.5
.5
.4
.5
.5
.6
.8
1.6
2.2
2.7
4.0
.7
13.3
7.9
2.8
6.8
.1
5.7
6.9
6.5
3.7
4.9
3.8
5.8
3.9
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
(4)
0.3
.3
.3
.3
.3
.4
.4
.4
.4
.4
.3
.4
.4
.4
.5
.6
.9
1.4
1.9
2.2
2.2
2.7
3.1
3.4
3.7
3.6
4.3
4.3
4.4
4.5
4.5
4.5
4.6
4.4
-0.1
.5
.4
.3
.3
.4
-.6
-.5
-.5
-.5
0
.7
1.7
2.0
1.8
7.0
13.1
15.8
12.2
7.2
3.7
8.1
8.4
6.9
5.0
5.1
2.9
1.6
1.0
-.7
-4.5
-3.4
-1.5
1.0
14.1
14.6
14.9
15.3
15.8
16.4
16.0
15.7
15.3
14.9
15.0
15.7
17.5
19.6
21.5
28.7
42.4
59.0
72.1
81.1
83.4
102.0
115.2
121.6
129.8
131.4
135.7
139.9
143.1
141.6
137.5
133.4
133.1
131.5
SURVEY OF CURRENT BUSINESS
Table 4.1.—Value of the Resource, Additions, and Depletion of
All Metals, Current Rent Method I (Rate of Return)
April 1994
Table 4.3.—Value of the Resource, Additions, and Depletion of
All Metals, Present Discounted Value Method Using 3% Discount
Rate
[Billions of current dollars]
[Billions of current dollars]
1958 ..
.
1959 ..
.
1960 ..
.
1961 ..
.
1962 ..
.
1963 ..
.
1964 ..
.
1965 ..
.
1966 ..
.
1967 ..
.
1968 ..
.
1969 ..
.
1970 ..
.
1971 ..
.
1972 ..
.
1973 ..
.
1974 ..
.
1975 ..
.
1976 ..
.
1977 ..
.
1978 ..
.
1979 ..
.
1980 ..
.
1981 ..
.
1982 ..
.
1983 ..
.
1984 ..
.
1985 ..
.
1986 ..
.
1987 ..
.
1988 ..
.
1989 ..
.
1990 ..
.
1991 ..
.
Opening
stock
Additions
Depletion
(D
Year
(2)
(3)
Revaluation Closing stock
adjustment
(1+2-3+4)
(4)
-0.1
0
-1.3
1.3
2.4
1.0
2.3
1.6
1.5
1.2
1.2
-.1
1.3
1.5
.6
-.3
1.8
-1.4
0
.5
.3
0
0.2
.2
.4
.4
.4
.4
.5
.5
.6
.4
.5
.7
.8
.6
.7
.7
.7
.6
.8
.5
.4
.1
n
n
n
8
n
n
n
28.9
29.6
29.8
38.2
38.4
40.9
44.8
50.7
52.1
54.3
49.3
51.6
56.1
58.8
54.3
56.9
66.3
72.1
70.2
80.2
42.6
49.7
15.2
O
0
O
0
90.1
125.6
141.9
29.6
29.8
38.2
38.4
40.9
44.8
50.7
52.1
54.3
49.3
51.6
56.1
58.8
54.3
56.9
66.3
72.1
70.2
80.2
42.6
49.7
15.2
1.0
.5
10.1
_y
.5
3.3
4.1
.4
1.2
-5.8
1.5
5.3
2.2
-5.3
2.7
10.4
4.7
.2
10.7
-37.6
7.2
-34.4
n
n
8
n
8
8
n
8
n
n
8
n
0
2.2
4.8
7.7
8.6
6.6
n
3,0
1.0
1.8
2.3
2.2
Opening
stock
n
n
n
n
38.5
90.1
125.6
141.9
154.5
47.9
29.7
10.1
of the entry was negative, resulting from a negative resource rent. Because
8.2
mechanical result of treating resource rent as a residual after the deduction
* Indicates that the calculated value
a negative resource rent is simply the
of other factor payments, the values have been replaced by asterisks. Where the resource rent was negative in
the base year (1987) for individual mineral types, the average for the 3 year period, 1987-89, was substituted for
the 1987 rent for the purpose of calculating constant-dollar estimates shown in tables B.1 through B.4. Where the
1987-89 average was negative, a base year price of zero was used for the constant-dollar estimates.
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
.
. ..
. . . .
(1)
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971 ...
1972
1973
1974
1975
1976
1977
1978...
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988 ..
1989 ...
1990
1991
Depletion
(2)
(3)
60.8
61.0
62.7
61.9
65.2
70.4
74.0
78.7
82.2
85.0
88.4
92.1
94.8
100.3
107.2
111.5
118.0
135.3
153.6
171.3
185.7
176.1
167.0
148.0
113.8
76.1
115.2
147.2
184.5
215.3
244.8
251.9
270.1
280.1
-0.1
-.1
-2.1
2.1
4.1
1.6
3.5
2.5
2.4
2.3
2.3
.2
2.4
3.8
1.3
-.1
2.2
-1.9
.7
2.9
1.4
1.6
-2.2
-4.8
-3.3
-2.3
-6.2
7.3
9.2
9.2
10.9
14.6
14.1
13.6
0.8
2.3
1.9
1.9
1.8
2.7
2.0
1.9
1.4
1.8
2.3
3.6
4.3
4.2
4.2
7.8
16.5
21.6
18.8
13.1
-9.3
-9.1
-15.4
-28.2
-33.9
42.2
39.3
31.4
23.2
22.5
-.8
7.2
0
-1.8
(4)
0.4
.4
.5
.5
.5
.6
.6
.7
.7
.6
.7
.9
1.0
.9
1.0
1 1
1.1
1.2
14
1.3
1.4
1.3
1.1
1.0
.4
.6
.9
1.2
1.3
1.8
2.4
3.1
3.4
3.3
(5)
61.0
62.7
61.9
65.2
70.4
74.0
78.7
82.2
85.0
88.4
92.1
94.8
100.3
107.2
111.5
118.0
135.3
153.6
171.3
185.7
176.1
167.0
148.0
113.8
76.1
115.2
147.2
184.5
215.3
244.8
251.9
270.1
280.1
288.0
1958
1959
1960
1961 .
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980 .
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
....
.
Additions
Depletion
d)
Revaluation Closing stock
adjustment
(1+2-3+4)
(4)
0.5
.5
.7
.7
.7
.7
.8
.8
.9
.8
.9
1.1
1.2
1.1
1.2
1.3
1.4
1.5
1.7
1.6
1.7
1.6
1.4
1.2
.4
.7
1.1
1.4
1.6
2.2
2.9
3.6
4.1
3.9
(3)
-0.1
-.1
-1.7
1.7
3.3
1.3
2.8
2.0
1.9
1.9
1.8
.2
1.9
3.1
1.1
-.1
1.8
1.6
.6
2.4
1.1
1.4
-1.8
-4.1
2.8
-2.0
-5.2
6.1
7.8
7.7
9.2
12.3
11.8
11.5
52.0
52 2
53 6
52.9
55.8
60.2
63.3
67.3
70.3
72.7
75.6
78.8
81 1
85.8
91.7
95 4
101.2
116.2
132 3
147.9
160.7
152.7
145.2
129.0
99.4
66 7
101.1
129.5
162.6
190.2
216.7
223.6
239.7
248.6
Opening
stock
Year
Additions
(2)
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
52.2
53.6
52.9
55.8
60.2
63.3
67.3
70.3
72.7
75.6
78.8
81.1
85.8
91.7
95.4
101.2
116.2
132.3
147.9
160.7
152.7
145.2
129.0
99.4
66.7
101.1
129.5
162.6
190.2
216.7
223.6
239.7
248.6
255.6
0.7
1.9
1.5
1.7
1.7
2.3
1.9
1.7
1.3
1.6
2.1
3.0
3.7
3.8
3.6
6.9
14.4
18.8
16.4
11.7
-7.8
-7.6
-13.2
-24.6
-29.6
37.0
34.5
28.2
21.1
20.6
.1
6.9
.5
-1.2
[Billions of current dollars]
[Billions of current dollars]
Opening
stock
Depletion
Table 4.4.—Value of the Resource, Additions, and Depletion of
All Metals, Present Discounted Value Method Using 10% Discount
Rate
Table 4.2.—Value of the Resource, Additions, and Depletion of
All Metals, Current Rent Method II (Value of Capital)
Year
Additions
(D
Year
(5)
(2)
(3)
38.3
38.4
39.5
39.0
41.1
44.4
46.6
49.6
51.8
53.6
55.7
58.1
59.8
63.2
67.6
70.3
74.9
86.4
98.7
110.9
121.0
115.4
110.2
98.3
76.0
51.2
78.0
100.2
126.4
148.3
169.7
175.7
188.4
195.3
-0.1
-.1
-1.1
1.1
2.1
.8
1.8
1.3
1.2
1.2
1.2
.1
1.2
2.0
.7
0
1.3
-1.1
.4
1.7
.8
1.0
1.3
-2.9
-2.0
-1.4
-3.7
4.3
5.5
5.5
6.5
8.7
8.4
8.1
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
(4)
0.3
.3
.3
.3
.3
.4
.4
.4
.5
.4
.4
.6
.6
.6
.6
.7
.7
.8
.9
.8
.9
.9
.8
.7
.2
.4
.6
.8
.9
1.3
1.7
2.2
2.4
2.3
0.4
1.4
.9
.4
.5
1.8
.6
.4
.0
1.3
fi
2.2
2.8
3.0
2.7
5.3
11.0
14.2
12.6
9.2
-5.5
-5.3
-9.8
18.7
22.6
28.6
26.6
22.6
17.4
17.2
1.3
6.1
1.0
-.3
38.4
39.5
39.0
41.1
44.4
46.6
49.6
51.8
53.6
55.7
58.1
59.8
63.2
67.6
70.3
74.9
86.4
98.7
110.9
121.0
115.4
110.2
98.3
76.0
51.2
78.0
100.2
126.4
148.3
169.7
175.7
188.4
195.3
200.8
J2 • April 1994
SURVEY OF CURRENT BUSINESS
Table 5.1—Value of the Resource, Additions, and Depletion of
Other Minerals, Current Rent Method I (Rate of Return)
Table 5.3.—Value of the Resource, Additions, and Depletion of
Other Minerals, Present Discounted Value Method Using 3%
Discount Rate
[Billions of current dollars]
[Billions of current dollars]
Opening
stock
Additions
Depletion
(1)
Year
(2)
(3)
0.2
.2
.1
.3
.3
.3
.5
.5
.5
.4
.2
0
.1
.2
.2
.1
.2
.3
.4
.7
.9
.6
-1
0
-.2
-1
-.1
.8
.6
.1
.2
.4
.2
.3
(4)
0.1
.2
.2
.2
.2
.2
.2
.3
.3
.3
.3
.2
.2
.2
.1
.2
.2
.3
.5
.6
.5
.6
.6
.6
.4
.5
.6
.6
.4
.4
.5
.5
.5
.5
0
.8
.8
.7
.6
.6
.1
-.1
.3
-.1
-1.6
-2.1
-1.8
-1.7
-.8
1.3
3.8
4.0
4.6
1.7
-.5
2.5
3.0
.9
-5.2
2.7
4.1
-1.4
-2.1
4.6
-.3
.7
.7
.9
15.0
15.8
16.6
17.3
18.1
18.8
19.1
19.3
19.8
19.7
18.0
15.7
13.8
12.1
11.4
12.6
16.5
20.4
24.9
26.8
26.6
29.2
31.4
31.7
25.9
28.0
31.4
30.3
28.4
32.8
32.2
32.8
33.2
33.9
[Billions of current dollars]
Additions
Depletion
0)
1958 ..
..
1959 ..
..
1960 ..
..
1961 ..
..
1962 ..
..
1963 ..
..
1964 ..
..
1965 ..
..
1966 ..
..
1967 ..
..
1968 ..
..
1969 ..
..
1970 ..
..
1971 ..
..
1972 ..
..
1973 ..
..
1974 ..
..
1975 ..
..
1976 ..
..
1977 ..
..
1978 ..
..
1979 ..
..
1980 ..
..
1981 ..
..
1982 ..
..
1983 ..
..
1984 ..
..
1985 ..
..
1986 ..
..
1987 ..
.,
1988 ..
.,
1989 ..
.
1990 ..
.,
1991 ..
..
Opening
stock
(2)
(3)
18.8
18.8
19.3
20.0
21.0
21.8
22.5
22.8
23.3
23.9
24.3
23.2
21.4
19.9
18.9
18.4
19.9
24.9
31.8
37.1
39.7
41.3
45.6
51.3
56.4
58.2
58.5
57.5
58.4
58.7
57.9
56.7
56.9
57.0
0.2
.2
.2
.3
.4
.4
.6
.6
.5
.4
.2
0
.2
.2
.3
.1
.3
.4
.5
.9
1.2
.8
-.4
-.5
-.9
-.9
-.8
.7
.5
0
.2
.7
.4
.4
Revaluation Closing stock
(1+2-3+4)
adjustment
(4)
0.2
.2
.2
.2
.2
.2
.3
.3
.4
.4
.4
.3
.3
.2
.2
.3
.3
.5
.6
.8
.7
.8
.9
1.0
.8
.9
1.0
1.0
.9
.9
.9
.9
.9
.9
Additions
Depletion
(2)
(3)
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
Table 5.2—Value of the Resource, Additions, and Depletion of
Other Minerals, Current Rent Method II (Value of Capital)
Year
Opening
stock
(D
Year
15.0
15.0
15.8
16.6
17.3
18.1
18.8
19.1
19.3
19.8
19.7
18.0
15.7
13.8
12.1
11.4
12.6
16.5
20.4
24.9
26.8
26.6
29.2
31.4
31.7
25.9
28.0
31.4
30.3
28.4
32.8
32.2
32.8
33.2
1958 ..
..
1959 ..
..
1960 ..
..
1961 ..
..
1962 ..
..
1963 ..
..
1964 ..
..
1965 ..
..
1966 ..
..
1967 ..
..
1968 ..
..
1969 ..
..
1970 ..
..
1971 ..
..
1972 ..
..
1973 ..
..
1974 ..
..
1975 ..
..
1976 ..
..
1977....
1978 ..
..
1979 ..
..
1980 ..
..
1981 ..
..
1982 ..
..
1983 ..
..
1984 ..
..
1985 ..
..
1986 ..
..
1987 ..
..
1988 ..
..
1989 ..
..
1990 ..
..
1991 ..
..
Revaluation Closing stock
adjustment
(1+2-3+4)
0
.5
.7
.9
.7
.5
-.1
.2
.4
.4
-1.0
-1.5
-1.4
-1.0
-.5
1.7
5.0
6.9
5.4
2.5
1.2
4.4
7.1
6.6
3.5
2.1
.9
1.1
.7
.1
-.4
.4
.5
.1
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977 .
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
-A
-.7
8
-.7
.6
.4
0
.1
.6
.3
.4
(5)
(4)
0
.4
.6
.7
.6
.4
0
.2
.3
.4
-.9
1.3
12
-.8
-.5
1.5
4.3
6.0
4.7
2.2
1.1
3.8
6.2
5.8
3.1
1.9
.9
1.1
.7
.2
-.3
.4
.5
0
0.1
.2
.2
.2
.2
.2
.2
.2
.3
.3
.3
.3
.2
.2
.2
.2
.3
.4
.5
.6
.6
.7
.8
.8
.7
.8
.9
.8
.7
.7
.8
.8
.8
.8
16.1
16.5
17.1
18.0
18.7
19.2
19.5
19.9
20.4
20.8
19.9
18.3
17.0
16.2
15.7
17.1
21.4
27.4
32.0
34.3
35.8
39.7
44.7
49.3
51.0
51.3
50.6
51.5
51.9
51.3
50.4
50.5
50.6
50.2
Table 5.4.—Value of the Resource, Additions, and Depletion of
Other Minerals, Present Discounted Value Method Using 10%
Discount Rate
[Billions of current dollars]
Year
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
Opening
stock
Additions
Depletion
(D
(5)
18.8
19.3
20.0
21.0
21.8
22.5
22.8
23.3
23.9
24.3
23.2
21.4
19.9
18.9
18.4
19.9
24.9
31.8
37.1
39.7
41.3
45.6
51.3
56.4
58.2
58.5
57.5
58.4
58.7
57.9
56.7
56.9
57.0
56.6
0.2
.2
.1
.2
.3
.3
.5
.5
.4
.3
.2
0
.1
.2
.2
.1
3
.3
.4
.7
1.0
.6
16.1
16.1
16.5
17.1
18.0
18.7
19.2
19.5
19.9
20.4
20.8
19.9
18.3
17.0
16.2
15.7
171
21.4
27.4
32.0
34.3
35.8
39.7
44.7
49.3
51.0
51.3
50.6
51.5
51.9
51.3
50.4
50.5
50.6
(2)
(3)
11.9
11.9
122
12.6
13.2
13.8
14.2
14.4
14.7
151
15.3
14.6
13.5
125
11.9
11.6
12.6
15.9
20.4
24 0
25.8
27.1
30.1
34.1
37.7
39.1
39.6
39.2
40.0
40.4
40.1
39.6
39.7
39.7
0.1
.1
.1
.2
.2
.2
.3
.3
.3
.2
.1
0
.1
.1
.1
.1
.2
.2
.3
5
.7
.5
-.2
-.3
-.5
-.6
-.5
A
.3
0
.1
.4
.2
.3
Revaluation Closing stock
(1+2-3+4)
adjustment
(5)
(4)
0.1
.1
.1
.1
.1
.1
.1
.2
.2
.2
.2
.2
.1
.1
.1
.1
.2
.2
.3
4
.4
.5
.5
.6
.5
.5
6
,6
.5
.5
.5
.5
.5
.5
0
.3
.5
.6
.5
.3
0
.2
.3
.3
-.6
-1.0
-.9
-.6
-.3
1.1
3.2
4.5
3.6
1.7
1.0
3.0
4.8
4.5
2.4
1.5
7
1.0
,7
.2
-.1
.3
.3
0
11.9
12.2
12.6
13.2
13.8
14.2
14.4
14.7
15.1
15.2
14.6
13.5
12.5
11.9
11.6
12.6
15.9
20.4
24.0
25.8
27.1
30.1
34.1
37.7
39.1
39.6
39.?
40.0
40.4
40.1
39.5
39.7
39.7
39.4
April 1994
SURVEY OF CURRENT BUSINESS
73
Benchmark Input-Output Accounts
for the U.S. Economy, 1987
HIS ARTICLE presents the 1987 benchmark
JL input-output (1-0) accounts for the U.S.
economy.1 The first part of the article addresses the 1987 benchmark; it discusses the steps
taken to speed up the benchmark's completion
and then describes some improvements that have
been made in the tables. The second part describes the concepts and methods underlying the
U.S. 1-0 accounts and illustrates how the 1-0
tables are used.
The 1987 1-0 estimates presented here are
in summary form; that is, they are aggregated to 95 1-0 industries from 480-industry
detail. The make (production) of commodities by industries is shown in table 1, the use
(consumption) of commodities by industries in
table 2.1, and the components of value added
by industries in table 2.2. The following summary 1-0 tables will be presented in the May
SURVEY OF CURRENT BUSINESS: Commodityby-industry direct requirements per dollar of
industry output; commodity-by-commodity total
requirements, direct and indirect, per dollar of
delivery to final use; and industry-by-commodity
total requirements, direct and indirect, per dollar of delivery to final use. All of the summary
tables, as well as the detailed tables, are available
on diskette (see the box on page 90).
This article includes supplementary tables that
relate the 1-0 accounts to the national income and
product accounts (NIPA'S); these tables permit
more extensive analyses of the 1-0 estimates. The
article also contains two appendixes: Appendix A
provides a list of selected SURVEY articles about
the 1-0 accounts; appendix B provides a concordance between the industry codes used in the
1-0 accounts and the 1987 Standard Industrial
Classification (sic) codes.
The 1987 benchmark 1-0 estimates will be
incorporated into the NIPA'S during the next
comprehensive NIPA revision, which is tentatively
scheduled for release in late 1995.
1. Earlier benchmarks covered 1947, 1958,1963, 1967,1972, 1977, and 1982.
BEA also has produced annual 1-0 accounts based on less comprehensive
source data. The most recent annual accounts, for 1987, were presented in
the April 1992 SURVEY OF CURRENT BUSINESS.
The 1987 Benchmark Accounts
In recognition of user needs—expressed, for example, by the interagency Working Group on
the Quality of Economic Statistics—the Bureau
of Economic Analysis (BEA) has developed a program to speed up the availability of 1-0 accounts.2
For 1-0 benchmarks, which are prepared primarily from the Census Bureau's quinquennial
economic censuses, the long-term goal is to make
the 1-0 tables available within 5 years of a census
year and within 1 year after release of all economic
census data.
For the 1987 benchmark, BEA devised a set
of procedures that captured the most important
parts of the 1987 economic census data, but that
abbreviated the normal time-consuming process
of assembling a wide variety of other data for
constructing components not based on economic
census data. These procedures enabled BEA to
complete the 1987 tables faster than otherwise
would have been the case and to turn its re2. See "Improving the Quality of Economic Statistics: The 1992 Economic
Statistics Initiative," SURVEY 71 (March 1991): 4-5.
Ann M. Lawson, Chief of the Interindustry Economics
Division, directed the preparation of the 1987 benchmark input-output study and coauthored the article
with D.A. Teske. Mark A. Planting, Acting Assistant Division Chief, planned and coordinated division
efforts to produce the estimates. Belinda L. Bonds,
Chief of the Goods Branch, and Karen Horowitz, Chief
of the Services Branch, assisted in the planning and
implementation of the study and in the estimation, review, and finalization of the data. Brian D. Kajutti
designed the data processing system and coordinated
the computer programming and processing efforts.
Staff contributors were William A. Allen, Timothy D.
Aylor, Alvin D. Blake, Cheryl Carlson, Esther Carter,
Jeffrey W. Crawford, Sergio Delgado, Gary T. Fee, Kara
Gordon-Palley, Carole Henry, David Huether, Greg M.
Key, Myles J. Levin, Fritz Mayhew, William McCarthy,
Donna McComber, Clinton P. McCully, Rhonda E.
Monroe, Ted Morgan, Diane E. Nisson, Robert S.
Robinowitz, Brooks B. Robinson, Timothy F. Slaper,
Patricia A. Washington, Raquel Watson, and Diane
Young.
SURVEY OF CURRENT BUSINESS
74 • April 1994
sources toward the 1992 benchmark at the earliest
possible time.
Procedures for the 1987 benchmark
In preparing benchmark 1-0 accounts, BEA relies heavily on economic census data covering
mining, construction, manufacturing, wholesale
trade, retail trade, transportation, and selected
services. The data are released by the Census
Bureau as they are completed, over a period of
time that usually begins about 1 year after the
end of the census year and continues for about
30 months. (For example, the planned release
dates for the 1992 census year extend from early
1994 through late 1996.) To estimate outputs
and inputs and to allocate commodities across
industries and final users, BEA must augment the
economic census data with data from hundreds
of other sources, such as the U.S. Department of
Agriculture, U.S. Department of Transportation,
Table A.—Principal Data Sources for Industry or Commodity Outputs, 1987 Benchmark
Industry or Commodity
Source
Agriculture, forestry, and fisheries
U.S. Department of Agriculture farm statistics
Mining
Census Bureau 1987 Census of Mineral Industries
Construction
Census Bureau 1987 Census of Construction Industries, Census of Service Industries, and value of
construction put-in-place series
Manufacturing
Census Bureau 1987 Census of Manufactures
Transportation
Interstate Commerce Commission Transportation Statistics
Association of American Railroads Freight Commodity Statistics
Census Bureau 1987 Census of Transportation, Motor Freight Transportation and Warehousing Survey, and
Services Annual Survey
U.S. Army Corps of Engineers 1987 Waterbome Commerce of the U.S.
Department of Transportation Air Carrier Financial Statistics and National Transportation Statistics
Communications
Trade sources annual reports
Federal Communications Commission Statistics of Communication Common Carriers
Utilities
Department of Energy—Energy Information Administration Natural Gas Annual, Electric Sales and Revenue,
and Financial Statistics of Selected Electric Utilities
American Gas Association Gas Facts
Census Bureau 1987 Census of Mineral Industries
Trade sources financial statements
Wholesale and retail trade
Census Bureau 1987 Census of Retail Trade and 1987 Census of Wholesale Trade
Finance
Federal Deposit Insurance Corporation Statistics on Banking
Federal Reserve Board Annual Report
Federal Home Loan Bank Board financial reports
Office of Thrift Supervision Saving and Home Financing Source Book
National Credit Union Administration Yearend Statistics for Federally Insured Credit Unions
HSN Consultants, Inc. The Nilson Report
Federally sponsored credit agencies annual reports
State and Federal regulatory agencies annual reports
Insurance
Trade sources financial statements
Health Care Financing Administration private health insurance data
A. M. Best and Company Best's Aggregates and Averages
Mortgage Insurance Companies of America Factbook
Real estate
National Association of Realtors 1987 Home Sales Yearbook
Census Bureau 1987 Census of Housing, 1987 Census of Construction Industries, 1987 Census of
Agriculture, and 1987 Enterprise Statistics
Internal Revenue Service tabulations of tax returns
Services
Census Bureau 1987 Census of Service Industries
Internal Revenue Service tabulations of tax returns
Bureau of Labor Statistics tabulations of wages and salaries covered by State unemployment insurance
U.S. Department of Education Digest of Educational Statistics
Government enterprises
Federal and State and local government agency reports
Office of Management and Budget Federal budget data
Census Bureau 1987 Census of Governments
Noncomparable imports
Census Bureau general imports and imports for consumption data
Estimated as part of the balance of payments accounts
Scrap
Census Bureau 1987 Census of Manufactures
General government
Estimated as part of the national income and product accounts
Household
Estimated as part of the national income and product accounts
Inventory valuation adjustment
Estimated as part of the national income and product accounts
SURVEY OF CURRENT BUSINESS
U.S. Department of Treasury, Office of Management and Budget, and other government agencies
and private organizations.
In preparing the 1987 benchmark 1-0 accounts,
BEA used standard 1-0 procedures for the estimates of industry and commodity output, except
for new construction (see table A). For previous
benchmarks, approximately 50 construction industries were analyzed and estimated separately.
For the 1987 benchmark, the economic census total for construction output was distributed
among only five industries—four related to mining and one "all other" category, which covers
the remaining industries within new construction
and maintenance and repair construction.
BEA also used standard 1-0 procedures for the
estimates of industry intermediate inputs where
hard data were readily available—primarily for
material inputs from the economic censuses. In
previous benchmarks, the standard procedure
has been to supplement these economic census
data with estimates of other intermediate inputs from hundreds of other information sources.
For the 1987 benchmark, BEA estimated these
intermediate inputs by first extrapolating 1982
benchmark estimates to 1987 based on the change
in industry output, and then by adjusting the extrapolated estimates to be consistent with—or to
balance—commodity and industry outputs (see
table B).
Value added components were prepared using the same procedures as in the past.3 Data
3. Value added equals gross output (sales or receipts and other operating
income, plus inventory change) minus intermediate inputs (consumption of
goods and services purchased from other industries or imported). It includes
compensation of employees, indirect business tax and nontax liability, and
other value added.
for compensation of employees and for indirect
business tax and nontax liability are from the
U.S. Department of Treasury, Office of Management and Budget, Bureau of Labor Statistics, and
Census Bureau; NIPA estimates are also used.
For most final use components—personal consumption expenditures, gross private fixed investment, change in business inventories, exports of
goods and services, and imports of goods and
services—BEA used the same data and procedures
as in the past.4 Most estimates of personal consumption expenditures and gross private fixed
investment were prepared with the commodityflow method.5 Inventories held by industries
were based on economic census and Internal Revenue Service data. Exports and imports of goods
and services were based on data from the Census Bureau and the U.S. balance of payments
accounts.
For Federal Government and State and local
government final use components, a combination of new and old procedures was used. Total
expenditures by type of purchase, for Federal
Government and for State and local governments,
were obtained from the NIPA'S, as in the past.
Government purchases by 1-0 commodity were
4. In the 1-0 accounts, change in business inventories covers commodities wherever held; capital purchases—producers' durable equipment and
structures—are included in gross private fixed investment; and imported
commodities are included with domestically produced commodities in both
final use and intermediate use.
5. The commodity-flow method generally begins with an estimate of
the total supply of a commodity available for domestic uses; it then either
attributes a fixed percentage of supply to final users, or it adjusts for intermediate purchases and attributes the residual to final users. For more
information, see U.S. Department of Commerce, Bureau of Economic Analysis, Personal Consumption Expenditures, Methodology Paper Series MP-6
(Washington, DC: U.S. Government Printing Office, June 1990): 31-34.
Table B.—Principal Data Sources and Methods for Estimating Intermediate Inputs and Components
of Value Added, 1987 Benchmark
Component
Source or method
Intermediate inputs
For census-covered industries, selected purchased services; in addition, for manufacturing and mining,
materials consumed from 1987 economic censuses.
For gas and electric utility industries, selected inputs from trade sources; for agriculture industries, inputs from
U.S. Department of Agriculture.
For most remaining industries, 1982 estimate extrapolated by change in industry output and adjusted to
balance commodity and industry outputs.
Compensation of employees
For census-covered industries, payroll and benefits from Census Bureau 1987 economic censuses.
For noncensus-covered industries, Bureau of Labor Statistics tabulations of wages and salaries covered by
State unemployment insurance; other labor income estimated as part of the national income and product
accounts.
Indirect business tax and nontax
liability.
For Federal excise taxes, collections from Internal Revenue Service; for customs duties, receipts from
Monthly Treasury Statement, and for nontaxes (such as fines), receipts from the Budget of the United
States, prepared by the Office of Management and Budget.
For State and local governments, receipts from Census Bureau 1987 economic census and annual and
quarterly surveys.
Other value added
For most industries, residual method: Total industry output less total intermediate inputs, compensation of
employees, and indirect business tax and nontax liability.
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estimated using 1982 benchmark 1-0 estimates as
weights, a new procedure for the 1987 estimates.
Some procedures used to prepare the 1987
benchmark 1-0 accounts suggest certain caveats.
First, the technology represented by the relationships of commodity inputs to industry outputs
in the use table (as well as in the commodityby-commodity and industry-by-commodity total
requirements tables) is a hybrid of that in 1987
and that represented in the 1982 benchmark 1-0
accounts. Second, other value added was derived
as a residual for most industries after subtracting total intermediate inputs, compensation of
employees, and indirect business tax and nontax
liability from total industry output.6 (For a few
industries, estimates of other value added were
available from other data sources; for example,
other value added estimates for agriculture are
from the U.S. Department of Agriculture.) As
a result, the other value added component includes estimating errors from other parts of the
1-0 accounts. For studies requiring comparisons
of value added components, users may find BEA'S
estimates of gross product originating by industry
more useful.7
Improvements and other changes
The 1987 benchmark 1-0 tables differ from previous tables in several respects. The summary
1987 benchmark tables, which begin on page 98,
cover 95 1-0 industries instead of the 85 1-0 industries used previously. For the new summary
tables, 14 1-0 industries were aggregated into 7,
and 12 1-0 industries were disaggregated into 30.8
With one exception, the aggregations involved
small, declining industries; new construction and
repair and maintenance construction were aggregated because of the abbreviated procedures used
for the 1987 benchmark. The disaggregations involved large, growing industries. Appendix B
shows the new aggregations and disaggregations
of 1-0 industries. (The disaggregated industries
6. For most i-o industries, other value added includes consumption of
fixed capital, proprietors' income, corporate profits, and business transfer
payments. For banking and for credit agencies other than banks, other value
added also includes net interest. For owner-occupied dwellings and for real
estate agents, managers, operators, and lessors, it also includes rental income.
For the six industries covering the Federal Government and State and local government enterprises, it also includes current surplus less government
subsidy payments.
7. See Robert P. Parker, "Gross Product by Industry, 1977-90," SURVEY
73 (May 1993): 33-54; and Robert E. Yuskavage, "Gross Product by Industry,
1988-91," SURVEY 73 (November 1993): 33-44.
8. The net addition of industries resulting from the aggregations and
disaggregations of 1982 1-0 industries is 11. In addition, the rest of the world
is no longer technically considered to be an industry because of the change
from GNP to GDP as the primary measure of final demand. Thus, there is a
net increase of 10 industries in the 1987 benchmark.
are designated with an alphabetical suffix to the
1982 benchmark i-o industry number.)
The industry classification of the i-o accounts
is now based on the 1987 sic; the 1982 benchmark
tables and subsequent annual tables were based
on the 1972 sic. In addition, the 1987 benchmark
tables incorporate all of the 1991 comprehensive NIPA revisions, including the change from
gross national product to gross domestic product
(GDP). 9
Introduction to the U.S. I-O Accounts
The 1-0 accounts for the U.S. economy show the
production of commodities by each of nearly 500
industries, in the "make" table, and the consumption of commodities by these industries, in
the "use" table. Chart 1 illustrates the make and
use tables in matrix form in, respectively, the
upper and lower panels. The commodity composition of GDP and the industry distribution of
value added are also shown in the use table.
BEA prepares benchmark 1-0 accounts primarily from data that the Census Bureau collects
every 5 years in its economic censuses for mining,
construction, manufacturing, wholesale trade, retail trade, transportation, and selected services,
as well as in its census of governments. Data
from the U.S. Department of Agriculture, U.S.
Department of Transportation, U.S. Department
of Treasury, and other government agencies and
private sources are also used.
The 1-0 accounts show compactly the relationships between all industries in the economy and
all the commodities they produce and use. Estimates for commodities are typically shown at
producers' prices.10 When producers' prices are
used, transportation costs and wholesale and retail trade margins are treated as commodities that
are separately produced and used by industries
(see the section "Definitions and conventions for
valuation").
The 1-0 accounts consist of five basic sets of
tables: (1) Make, (2) use, (3) commodity-byindustry direct requirements, (4) commodity-bycommodity total requirements, and (5) industry9. The 1991 NIPA revision was described in the following SURVEY articles: "A Preview of the Comprehensive Revision of the National Income
and Product Accounts: Definitional and Classificational Changes," September 1991; "A Preview of the Comprehensive Revision of the National Income
and Product Accounts: New and Redesigned Tables," October 1991; and "The
Comprehensive Revision of the U.S. National Income and Product Accounts:
A Review of Revisions and Major Statistical Changes," December 1991.
10. Estimates for commodities in purchasers' prices can be derived by
adjusting for transportation costs and for wholesale and retail trade margins;
these costs and margins are included on the diskettes that can be ordered for
the 1987 benchmark 1-0 (see the box on page 90).
SURVEY OF CURRENT BUSINESS
April 1994
The U.S. Input-Output Accounts
MAKE TABLE: INDUSTRIES PRODUCING COMMODITIES
COMMODITIES
Agricultural
products
TransporTrade Finance Services
Minerals Construction Manufactured
products
tation
Other'
MM
Agriculture
Mining
Construction
TOTAL
INDUSTRY
OUTPUT
M
|
Manufacturing
INDUSTRIES
Transportation
-
Trade
Finance
Services
•
1
••
r
Other*
TOTAL COMMODITY OUTPUT
^M
^M
^M
^M
^M
^M
USE TABLE: COMMODITIES USED BY INDUSTRIES AND FINAL USES
FINAL USES (GDP)
INDUSTRIES
AgriculConstruc- Manufac- transporMining
tjre
taring
tion
tation
Trade
Fin3n:e Services Other'
Total
inte-mrdiatS
Gross
Personal
private
consumption
fixed
expenditures
investment
Exports Imports
Change in of goods o"' gooes
Government
business
3"C
purchases
inventories
seri. ce;
Agricultural
products
Minerals
Construction
Manufactured
products
Transportation
COMMODITIES
Trade
Finance
Services
Other
Noncomparable
imports
Total intermediate inputs
Compensation
of employees
VALUE
ADDED
ricsirect Dus^es;
;a* and
lortax liability
Other value
added"*
Total
TOTAL INDUSTRY OUTPUT
* See text and appendix B.
* * See text.
U-S. Department of Commerce, Bureau of Economic Analysis
|
1 TOTAL COMMODITY OUTPUT
^ B
PRIMARY PRODUCT OF THE INDUSTRY
PM]
TOTAL INDUSTRY OUTPUT
GDP
TOTAL
COMMODITY
OUTPUT
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by-commodity total requirements.11 For the 1987
benchmark, details for the value added components of the use table and of the commodity-byindustry direct requirements table are contained
in separate tables. Only the make and use tables
are presented in this article. The remaining three
tables and their descriptions will be published in
the May SURVEY.
The make table
The make table (table 1), in the upper panel of
chart 1, shows the dollar value, in producers'
prices, of each commodity produced by each industry. In each row, there is one "diagonal" cell
that shows the value of production of the commodity for which the corresponding industry has
been designated the "primary" producer. Entries
in the other cells in the row show the value of
production of commodities for which the industry is a "secondary" producer.12 For example, the
newspapers and periodicals industry (row 26A)
is the primary producer of the newspapers and
periodicals commodity (column 26A). It is also a
secondary producer of the following commodities: Paper and allied products, except containers
(column 24); other printing and publishing (column 26B); rubber and miscellaneous plastics
products (column 32); miscellaneous manufacturing products (column 64); and advertising
(column 73D). The sum of all entries in a row is
the total output by the industry.
The entries in each column of the make table
represent the production by both primary and
secondary producers of the commodity named at
the head of the column. For example, computer
and data processing services (column 73A) includes the output by the primary producer—the
computer and data processing services industry
(row 73A)—and by the following secondary producers: Computer and office equipment (row
51); audio, video, and communication equipment
(row 56); scientific and controlling instruments
(row 62); finance (row 70A); and other business
and professional services, except medical (row
73c). The sum of all entries in a column is the
total output of the commodity.
An industry's share of the production of a
commodity can be calculated from the values in
11. In the designation of i-o tables, the row is referred to first and the
column second. Thus, tables in which commodities appear in the rows and
industries in the columns are designated "commodity-by-industry" tables,
and tables in which industries appear in the rows and commodities in the
columns are designated "industry-by-commodity" tables.
12. Primary and secondary products and the classification of industries are discussed further in the section "Definitions and conventions for
classification."
the make table by expressing the entries in a
given column as a percentage of the column total.
From the 1987 benchmark, for example, column
62 in table 1 shows that the production of scientific and controlling instruments (commodity
1-0 62) totaled $86 billion, of which the scientific
and controlling instruments industry (industry 1o 62) produced $80 billion, or about 93 percent
of the total.
The industry and commodity output totals for
this table are estimated primarily from the quinquennial economic censuses, conducted by the
Census Bureau (see table A). The economic census data, which are on an sic basis, cover most
establishments with payrolls. Information from
other government and private sources is used for
1-0 industries not covered by the economic census data, such as finance, insurance, real estate,
utilities, and schools and religious organizations.
Data from other government agencies are also
used to supplement the economic census data for
some industries.
BEA makes two adjustments to the economic
census data. First, it adds estimates of the output
for establishments without payrolls that are not
covered by the economic census data. Second,
BEA adjusts for misreported tax return information; this adjustment is necessary because in
some cases, the Census Bureau data for expenses
and receipts reflect tax return records rather
than information collected directly from survey
reports.13
BEA also adjusts the economic census data
based on the sic to the 1-0 industry classification
system to attain greater homogeneity in the input
structures for commodities produced by an 1-0
industry. This type of adjustment is discussed
in the section "Definitions and conventions for
classification."
The use table
The use table (table 2) is presented in two parts:
Table 2.1 shows the dollar value, in producers'
prices, of each commodity used by each industry and by each final user; table 2.2 shows detail,
in producers' prices, on the value added components used by each industry in table 2.1 to
produce its output. In table 2.1, entries in a row
show the use of the commodity named at the beginning of the row by each industry or final user
named at the head of the column. For example,
the commodity radio and TV broadcasting services
13. See Robert P. Parker, "Improved Adjustments for Misreporting of
Tax Return Information Used to Estimate the National Income and Product
Accounts, 1977," SURVEY 64 (June 1984): 17-25.
SURVEY OF CURRENT BUSINESS
(row 67) is used by the industries radio and TV
broadcasting (column 6j) and advertising (column 73D), as well as by persons—that is, as part
of personal consumption expenditures (column
9i).
In table 2.2, industries are shown in the rows,
and total output, total intermediate inputs, and
the components of value added are shown in the
columns. For example, the total output for the
radio and TV broadcasting industry (row 6y) was
$29 billion, of which $10 billion was labor compensation, $1 billion was indirect business tax and
nontax liability, $3 billion was other value added,
and $16 billion was intermediate inputs. The column totals for industries in table 2.1 equal the
right-hand row totals in table 2.2. For example,
the column total for the radio and TV broadcasting industry in table 2.1 equals the row total for
that industry in table 2.2, or $29 billion. (The
relationship between value added and other parts
of the use table is depicted in the bottom panel
of chart 1.)
In table 2.1, industry uses sum to total intermediate use, shown in the right-hand column of the
industries portion, and the final uses sum to GDP,
shown in the right-hand column of the final uses
portion. The total output of each commodity is
the sum of all intermediate uses of the commodity by industries and all sales to final users. The
total output of each industry is the sum of all
intermediate inputs consumed by the industry—
that is, the raw materials, semifinished products,
and services that the industry purchases—and of
the value added by the industry. For the economy as a whole, the total of all final uses of
commodities equals the total value added by all
industries, or GDP.
The rows in table 2.1 show the wide variation
in the proportion of commodity output that is
sold directly to final users. For example, the 1987
use table shows that some commodities, such as
apparel (the primary product of industry 1-0 18),
were sold almost entirely to final users; therefore,
the demand for these commodities is affected
primarily by changes in the buying patterns of
final users. Other commodities, such as industrial and other chemicals (1-0 27A), were used
almost entirely as intermediate inputs. For these
commodities, the connection between production and final uses is primarily indirect and can
be traced mainly through industrial users' sales
of commodities to final users.
The rows also show the wide variation in the
direct usage of commodities by industries. For
example, the 1987 use table shows that paper and
allied products, except containers (1-0 24), with
$81 billion of commodity output, were used by
nearly all industries. The largest user was other
printing and publishing (1-0 26B), which used $15
billion, or 18 percent of total commodity output.
In contrast, metal containers (1-0 39), with $12
billion of commodity output, were used by only
20 industries. The largest user was food and kindred products (1-0 14), which used $9 billion, or
74 percent of total commodity output.
The rows in table 2.2 show the wide variation
in the use of value added inputs by industries to
produce their outputs. For example, the real estate and royalties industry (1-0 JIB) required $280
billion of value added inputs, or 74 percent of
its total output; of this, $27 billion was for labor
compensation, $53 billion was for indirect business tax and nontax liability, and $200 billion was
for other value added. In contrast, the livestock
and livestock products industry (1-0 1) required
$15 billion of value added inputs, or 17 percent of
its total output; of this, $3 billion was for labor
compensation, $1 billion was for indirect business
tax and nontax liability, and $11 billion was for
other value added.
BEA estimates intermediate inputs in the use
table through a number of processes. The
economic censuses are the primary source for
data on intermediate inputs; however, BEA must
supplement these data to cover establishments
without payrolls and industries not covered by
the economic censuses, BEA also separates information for some broader categories of purchases
into 1-0 commodities; for example, BEA separates data on purchases of office supplies into
purchases of postal service, paper, envelopes,
etc., using commodity-shipment proportions and
other available information, BEA also uses related information that is available to make 1-0
estimates of inputs for which there is little hard
data. For example, fees paid by industries for
accounting services are estimated on the basis
of industry employment. (Table B shows the
principal methods and sources used for the 1987
benchmark.)
BEA estimates the final uses of commodities
either by incorporating data into the 1-0 accounts directly from other sources after minor
adjustment, or—for personal consumption expenditures and producers' durable equipment—
by employing the commodity-flow method. An
example of source data incorporated directly with
only minor adjustments is exports of goods,
which is obtained from the balance of payments
accounts.
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In the commodity-flow method, an estimate
is first developed for the total supply of a commodity for domestic use. Then either a fixed
percentage of total supply is attributed to final
users, or the total supply is adjusted for intermediate purchases and the residual is attributed to
final users.14
An example of commodity flow using the fixed
percentage method can be illustrated by examining its use in estimating personal consumption
expenditures for polishes and sanitation goods;
in this case, approximately 40 percent of total output is allocated to personal consumption
expenditures. An example of commodity flow
using the residual method can be illustrated by
examining its use in estimating personal consumption expenditures for wheat flour. First, an
estimate is made for the total domestic supply of
wheat flour: Total wheat flour sales by domestic firms, minus wheat flour exports, plus wheat
flour imports. Next, an estimate is made for total consumption of wheat flour by intermediate
users, including food manufacturers—of bread,
cookies, crackers, and frozen bakery products—
and restaurants. The wheat flour consumed by
all intermediate users is then subtracted from domestic supply; government purchases of wheat
flour are also subtracted. The residual is then
assumed to be the wheat flour purchased by persons and is included in personal consumption
expenditures.
The components of value added (see footnotes
3 and 6) are estimated using different methods. Compensation of employees by industry
is estimated directly from source data. Indirect
business tax and nontax liability by industry is
either estimated directly from source data or is
extrapolated based on the 1982 benchmark. For
most industries, other value added is derived as
a residual after subtracting total intermediate inputs, compensation of employees, and indirect
business tax and nontax liability from total industry output (that is, industry sales receipts). For
a few industries, estimates of other value added
were available from other data sources; for example, other value added estimates for agriculture
are from the U.S. Department of Agriculture.
Uses of the 1-0 accounts
The 1-0 accounts have a variety of statistical and
analytical uses. For example, they can provide
an economic framework to assess data quality
and completeness, and they can be used as an
14. See Personal Consumption Expenditures, pages 31-34.
analytical economic tool to study industry production. This section describes some uses of the
1-0 accounts in preparing economic statistics and
in studying interindustry relationships within the
economy, as well as some of the assumptions analysts must make when they use 1-0 accounts as
an economic tool.
The use of 1-0 accounts requires certain simplifying assumptions. Among these is the assumption that interindustry relationships established
in the 1-0 accounts for a benchmark year will
remain stable over time and through a range
of output levels. Users of 1-0 tables generally
must make the assumption that changes in interindustry relationships occur only gradually—
for example, that the interindustry relationships
represented in the 1987 benchmark are applicable
for a band of years surrounding 1987. Also, 1-0
accounts implicitly assume that all adjustments to
a change in final demand are achieved instantly
and without price changes. For analyses that require different assumptions, other economic tools
may be more appropriate.
Statistical uses,—The 1-0 accounts are used in
several ways to prepare economic statistics. For
NIPA comprehensive revisions, they are the single most important regular source for estimating
the expenditure components of GDP and for parts
of several income components. Because the 1-0
accounts have an internally consistent framework that tracks the input and output flows in
the economy, any estimating weaknesses in the
national economic accounts become readily apparent when they are compared with the 1-0
accounts. For the NIPA revision, the NIPA estimates of personal consumption expenditures
and producers' durable equipment are based on
the final use components of the 1-0 benchmark accounts, with additional adjustments to
reflect the definitional, classificational, and statistical changes incorporated into the NIPA'S since
completion of the 1-0 accounts.15
The 1-0 benchmark accounts are also used as
a framework to weight and calculate index numbers for price, volume, and value. For example,
BEA uses the 1-0-based detailed estimates of producers' durable equipment to weight producer
price indexes for calculating the constant-dollar
NIPA estimates of producers' durable equipment.
Analytical uses.—The 1-0 accounts are an important analytical tool because they show the
interdependence among various producers and
15. For more information on the 1-0 accounts and their relationship to
the NIPA'S, see Personal Consumption Expenditures, pages 17 and 31-34.
SURVEY OF CURRENT BUSINESS
consumers in the economy. Because of their industry detail, the i-o accounts can be used for
analyzing a wide range of related empirical issues.
The main contribution of the i-o accounts to
economic analysis is that they permit analysts to
measure the repercussions that changes in final
uses have on industries and commodities, both
directly and indirectly. For example, an increase
in consumer demand for motor vehicles will initially have a direct effect that will increase the
production of cars, which in turn will have indirect effects, including increased steel production.
Increased steel production will in turn require
more chemicals, more iron ore, more limestone,
and more coal. Increased car production will
also require more upholstery fabrics, and the increased production of these fabrics will require
more natural fibers, more synthetic fibers, and
more plastics. Further, increased production of
synthetic fibers will require more electricity and
containers, and so on.
These repercussions are only a few in the continuing chain resulting from the initial increase in
consumer demand for motor vehicles. Through
i-o analysis, it is possible to trace this chain
throughout the economy, measuring the direct
and indirect effects on the output of each industry and commodity. Within the i-o accounts,
these effects are quantified in coefficient tables.
These tables can be used, for example, to determine the impact of a disaster on the economy
or, when supplemented with additional information, to compute the effect on employment of
an increased demand for U.S. exports. The Federal Emergency Management Agency, the U.S.
Department of Defense, and the Census Bureau,
among others, have found the i-o accounts to be
useful for such studies.
When the U.S. i-o accounts are augmented
with regional data, they can show economic
impacts by region. For example, a State Government agency has used regional i-o accounts
to estimate the economic effects of a high-speed
intercity rail project on the State's economy, and
a private consulting group has used regional i-o
accounts to analyze the impact of a sports stadium on the local economy, BEA'S Regional
Economic Analysis Division helps planners and
analysts estimate the regional impacts of project
and program expenditures by industries.1
16. A typical 1-0 table in the Regional Input-Output Modeling System is
derived mainly from two data sources: (1) The U.S. benchmark 1-0 accounts
and (2) BEA'S four-digit sic county wage-and-salary data. For more information, see U.S. Department of Commerce, Bureau of Economic Analysis,
Regional Multipliers: A User Handbook for the Regional Input-Output Modeling System (RIMS II), Second Edition (Washington, DC: U.S. Government
Printing Office, 1992).
Definitions and conventions for classification
The 1-0 accounts use two classification systems,
one for industries and another for commodities,
but both classification systems generally use the
same 1-0 numbers and titles. In the 1-0 industry
classification system, output typically represents
the total output of all establishments in each industry, regardless of whether the commodities
produced are primary to the industry (that is,
make up the largest proportion of the establishment's output) or are secondary (that is, primary
to another industry). In the 1-0 commodity
classification system, output represents the total
output of the product or service, regardless of the
classification of the establishments that produce
it. This section discusses first the 1-0 industry
classification system and then the 1-0 commodity
classification system.
The 1-0 industry classification system is based
on the sic system, which classifies establishments
into industries based on their primary products
or services.17 Establishments are defined as economic units that are generally at a single physical
location where business is conducted or where
services or industrial operations are performed.
Establishments are classified into an sic industry on the basis of their primary products or
services.18
The 1-0 industry classification system adjusts
the sic system primarily to attain a greater degree of homogeneity in the structure of inputs
to the commodities produced by an 1-0 industry.
The adjustments, which affect 1-0-defined primary and secondary production, are called, in 1-0
terminology, redefinitions and ^classifications.19
The 1-0 system also provides for other industries
and "special" industries that the sic does not;
these are discussed later in this section.
In a redefinition, the input purchases and
the output sales receipts for a particular secondary product or service are moved from the
sic-defined industry to the 1-0-defined industry.
The input structure of the redefined product or
service is assumed to be the same as that for
the 1-0 industry in which the product or serv17. The 1-0 two-digit and six-digit industry categories and their
composition in terms of the 1987 sic codes are given in appendix B.
18. For a discussion of the sic system, see Office of Management and
Budget, Executive Office of the President, Standard Industrial Classification
Manual: 1987, (Springfield, Virginia: National Technical Information Service,
1987): 11-18.
19. Fewer 1-0 adjustments to sic-defined industries may be necessary for
the 1997 and subsequent benchmark 1-0 accounts when the North American
Industry Classification System (NAICS) is completed. The proposed NAICS is
expected to be a common international system—covering the United States,
Canada, and Mexico—for grouping establishments by similarity of production process. For a discussion, see Jack E. Triplett, "Economic Concepts for
Economic Classifications," SURVEY 73 (November 1993): 45-56.
April 1994
•
8l
82 • April 1994
SURVEY OF CURRENT BUSINESS
ice is primary; this assumption is called, in 1-0
terminology, the commodity-based technology
assumption.20
An example of a redefinition involves restaurants located in hotels. Both inputs and outputs
of these restaurants are moved from the hotels
and lodging places industry (the industry of the
establishment where the product or service occurs) to the eating and drinking places industry
(the industry where the product or service is primary). The input structure related to the output
of restaurants located in hotels is assumed to be
similar to that for the eating and drinking places
industry.
Redefinitions are used in the following cases:
• Construction work (both new construction
and maintenance and repair) performed by
all industries is redefined to the construction
industries. Construction work performed
by and for nonconstruction industries is
referred to as "force-account construction."
• Manufacturing in trade and service industries is redefined to the appropriate
manufacturing industries.
• Retail trade in service industries is redefined
to the retail trade industry. Services in the
trade industries are redefined to service industries. Some services are also redefined
within service industries.
• Manufacturers' wholesale sales of purchased
goods (resales) are redefined to the wholesale
trade industry.
• Rental activities of all industries are redefined
to the real estate and rental industries.
• The preparation of meals and beverages in
most industries is redefined to the eating and
drinking industry.
Redefinitions affect a number of industries;
however, for most industries, the total output
involved is small. Examples of industries with
large dollar amounts of redefinitions of secondary
products or services out of or into the industry
are automobile and repair services (1-0 75), with
$131 billion of total industry output, of which $40
billion has been redefined out to a number of
other industries and $1 billion has been redefined
20. The 1-0 commodity-based and i-o industry-based technology assumptions are important when estimating the total-requirements tables. The
significance of the assumptions is discussed elsewhere in the economic i-o literature. See, for example, United Nations, System of National Accounts, 1993,
prepared under the auspices of the Inter-Secretariat Working Group on National Accounts (New York: United Nations, 1993): chapter 15, in particular
pages 367-70; and Ronald E. Miller and Peter D. Blair, Input-Output Analysis: Foundations and Extensions (Englewood Cliffs, New Jersey: Prentice-Hall,
Inc., 1985): 149-99.
in from a number of other industries; eating and
drinking places (i-o 74), with $209 billion of total
industry output, $34 billion out and $Vi billion
in; wholesale trade (1-0 69A), with $424 billion
of total output, $7 billion out and $69 billion in;
and retail trade (1-0 69B), with $421 billion of
total output, $25 billion out and $46 billion in.
In a reclassification, the 1-0 system creates a
secondary product or service from an sic-defined
primary product or service. For these reclassified products and services and for all other
sic-defined secondary products and services that
are not redefinitions, the 1-0 system moves the
output receipts from the sic-defined product or
service class to the 1-0-defined primary product
or service class within the same 1-0 industry. In
this case, total output for the affected industry
remains unchanged; however, output for each
affected commodity group changes.
An example of a reclassification involves the
newspaper industry. The sic defines the primary product or service classes of this industry
as newspaper subscriptions and sales and newspaper advertising. The 1-0 system considers the
primary product or service of the newspaper industry to consist of newspaper subscriptions and
sales. It considers the advertising component to
be secondary and, therefore, moves advertising
receipts or output to the advertising commodity group. Total output for the 1-0 newspaper
industry remains unchanged, but output for the
newspaper commodity is reduced, and output for
the advertising commodity is increased.
Reclassifications affect about 70 commodities;
however, for the most part, the dollar values
involved are not very large. Examples of industries with large dollar amounts of reclassified sales
receipts are the newspapers and periodicals industry (1-0 26A), for which $20 billion of its $36
billion total commodity output is moved to the
advertising commodity (1-0 73D); and the crude
petroleum and natural gas industry (1-0 8), for
which $12 billion of its $80 billion total commodity output is moved to the gas production and
distribution (utilities) commodity (1-0 68B).
When the total requirements tables are calculated, inputs and outputs of each 1-0-defined
secondary product or service are moved to their
particular 1-0-defined commodity groups. The
input structures of secondary products or services are assumed to be similar to those for the
industries in which the products or services are
primary; this assumption, in 1-0 terminology, is
called the industry-based technology assumption
(see footnote 20).
April 1994 •
SURVEY OF CURRENT BUSINESS
As mentioned earlier, the 1-0 system also
provides for other industries and "special" industries that the sic does not. The 1-0 system
replaces the sic-defined government-owned establishments with two industries to cover government enterprises as defined in the NIPA'S—
Federal Government enterprises (1-0 78) and
State and local government enterprises (1-0 79).
The 1-0 system also provides "special" industries,
such as general government (1-0 82), in which
output and value added are defined as general
government compensation of employees, and the
inventory valuation adjustment (1-0 85), which is
a NIPA adjustment to derive GDP (see appendix B
for a complete listing of 1-0 special industries).
The 1-0 commodity classification system is
closely related to that for industries. Each commodity receives the code of the industry in which
the commodity is the primary product. This code
is then used to group production of the commodity in the industry in which it is the primary
product with its production in other industries
in which it is a secondary product.
In several cases, the 1-0 commodity classification differs from that specified by the industry
classification. If the same commodity is the
primary product of more than one sic industry, all of the 1-0 commodity is assigned
the 1-0 commodity number that corresponds
to the 1-0 industry that is the largest producer
of the commodity. This results in there being no commodity output for the following 1-0
commodity groups: Forest products (commodity 2.0701); knit outerwear mills (commodity
18.0201); knit underwear and nightwear mills
(commodity 18.0202); knitting mills, not elsewhere classified (commodity 18.0203); fertilizers,
mixing only (commodity 27.0202); cold-rolled
steel sheet, strip, and bars (commodity 37.0104);
steel pipe and tubes (commodity 37.0105); secondary nonferrous metals (commodity 38.0600);
Federal electric utilities (78.0200); State and local government passenger transit (commodity
79.0100); and State and local government electric
utilities (commodity 79.0200).
Definitions and conventions for valuation
Transactions in commodities are typically valued in 1-0 accounts at producers' prices, which
exclude distribution costs (transportation costs
and wholesale and retail trade margins), but
include excise taxes collected and paid by producers. Transportation costs and trade margins are
shown as separate purchases by the users of the
commodities. The sum of the producers' value,
transportation costs, and trade margins equals
the purchasers' value.
The 1-0 tables do not trace actual flows of commodities to and from wholesale trade and retail
trade0 If trade were shown as buying and reselling commodities, industrial and final users
would make most of their purchases from a single
source—trade. To show the relationship between the production of commodities and their
purchase by intermediate and final users, commodities are shown as if they move directly to
users, bypassing trade. The margin associated
with a commodity is shown as a separate purchase of the commodity from wholesale trade and
retail trade by users. Transportation costs are
the freight charges paid to bring the commodity
from the producer to the user, either intermediate or final. All transportation costs are included
in the transportation rows (rows 65A-E) of the
use table.
Wholesale trade has one primary product—
distributive services for the sale of goods to
final users other than for personal consumption
expenditures. Examples of distributive services provided by wholesalers include merchandise
handling, stocking, selling, and billing.
Wholesale trade output is measured one way
for merchant wholesalers, agents, and brokers and another way for manufacturers' sales
branches. For merchant wholesalers, agents, and
brokers (on own account), wholesale margin is
measured as wholesale sales receipts less the cost
of goods sold plus taxes collected by the distributor. For manufacturers' sales branches, it is
measured as expenses plus taxes collected by the
sales branches.
Nonmargin output occurs when the wholesale trade service is purchased separately from
the commodity. Nonmargin output includes, for
example, a sales commission paid to a wholesaler acting as a broker. Nonmargin output is
measured as the sum of expenses on goods sold
by manufacturers' sales offices, commissions on
goods sold by agents and brokers, and customs
duties. Wholesale trade output—both margin
and nonmargin—is included in the wholesale
trade row (row 69A) of the use table.
Retail trade has one primary product—
distributive services for the sale of goods to
persons. Retail output is defined as the retail
margin, which is measured as retail sales less the
Text continues on page 90.
83
April 1994
SURVEY OF CURRENT BUSINESS
Table C—Input-Output Commodity Composition of Final Demand, in Producers'
[Millions of dollars]
Personal consumption expenditures
Commodity
number
1
2
3
4
5+6
7
8
9+10 ....
11
Producers'
prices
Transportation
costs
3.090
15.682
3,763
3,215
12
13
14
15
16
17
18
19
20+21 ..
22+23 ..
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34 .,
35
36
37
38
1,099
201,153
20,774
1,047
4,992
71,153
10,088
1,820
19,469
11,902
59B ....
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
T
...,
...
...,
...
....
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
5,019
121
13
113
360
49
43
132
357
7
400
267
134
31
0
164
886
10
11,741
10,923
978
784
0
23,958
25,019
194
60,189
11,669
13.619
1,518
2,705
2,468
2,072
63
39
104
2
2
0
14
15
102
5
2
0
3
2
0
4
46
8
3
319
46
164
2
140
11
72
0
525
1,464
3,600
461
248
0
583
176
0
117
49
50
51
52
53
54
55
56
57
58
59A ....
52
0
0
41
0
33
0
0
5
292
39
40
41
42
43
44+45 .
46
47
48
96
647
0
138
0
36
0
0
3,290
883
161
11,997
2,278
18,387
263
5,277
101,875
3,133
2,626
108
1
82
16
21
400
0
0
0
316
11,043
4,456
4,625
27,179
9,990
6,151
3,472
29,349
0
r
I
0
1 RQR
1 ,030
61.963
1,326
63,318
25,544
14,864
0
0
0
0
0
0
0
0
262
135,789
81,638
OOC
0
r
I
0
•\A/
OcO, IH»
122,178
20,180
48,030
0
0
0
0
855
31,456
12,602
66'
169,638
67,684
47,411
363,015
148,974
6,430
14,152
29,295
13,705
0
Purchasers' prices
1,034
13,806
1,652
4,219
32,703
5.466
0
0
62
0
21
0
0
647
0
241
0
89
0
0
1.078
100,843
13,651
1,024
4,173
60,712
9,245
1,646
17,015
7,712
2,182
307.016
34.546
2,084
9,278
132,225
19,381
3,508
36.616
19,972
148
447
4,808
9.177
16,949
20,366
2,040
1,506
929
691
0
16,617
16,865
(
0
0
0
0
0
0
527
0
0
(
-31,136
7,709
I
20,949
40,738
42,770
89
294
95,755
26,388
27,427
3,479
5,826
11
57
0
404
25
131
0
942
1,551
3,626
3,030
7,327
228
247
0
523
113
0
98
693
497
0
2,221
822
113
1,108
291
0
220
5,557
1,713
277
0
0
0
0
446
0
84
0
358,627
17,300
198
0
0
0
2,369
0
0
3,920
15,467
0
0
0
0
795
0
0
0
0
0
0
155
0
0
0
13
36
21
2,811
0
1,945
2,302
16,909
5,032
13,439
15,053
11,072
747
33,476
7,186
5,878
2,657
7,770
2,233
16,605
20,086
4,556
35,156
21,728
144
409
0
3,993
24,316
2,107
9,410
128,816
5,348
2,755
62,933
6,591
8,843
3,183
33,814
5,653
3,876
88
405
5,067
4,396
7.956
30,458
16,191
8,868
12,602
58,036
9,990
6,151
3,472
29,349
1 Wfi
i ,oyo
61,963
1,326
63,318
25,544
14,864
0
0
0
0
r
I
0
0
0
0
0
0
0
0
0
f
I
0
0
262
135,789
81,638
0 5 c 4 At
<ic.Q, 14*
1,542
20,253
122,178
20,180
48,030
1,177
31,456
12,915
661
169,638
67,886
47,411
363.015
148,974
6.430
14,152
31,365
33,959
(
0
0
0
322
0
313
(
202
0
0
0
0
(
435
0
0
0
0
0
0
0
0
23
0
0
0
0
0
0
0
0
0
53
0
0
11
128
0
0
0
0
0
0
0
0
0
0
0
4
0
0
0
0
1
1
20
0
106
27
513
97
181
185
96
8
122
75
106
72
4
132
0
27
1,622
55
7
72
131
24
255
0
0
0
0
465,20-
0
0
0
0
21
0
0
0
0
0
0
0
0
0
963
0
0
0
0
0
0
489
0
84
0
358.627
17,300
198
0
0
0
3,385
0
0
0
0
795
0
0
0
0
0
0
196
0
0
0
13
42
23
6,700
1,033
2,100
2,551
714
123
7,525
2,543
820
1,448
0
2,440
2,500
24,122
6,162
15,720
17,789
11,882
878
41,122
9.804
6.803
4,177
110
549
1,338
23,198
0
153
0
0
0
0
0
3,072,252
678,397
4,155
0
0
0
0
0
0
0
-24,960
333
596
916
127
449
1,188
515
138
502
1,199
558
197
3,001
1,292
467
179
606
1,204
864
24
557
237
604
208
333
42
50
198
153
101
331
306
110
3
608
446
787
361
3,692
2,093
1.052
2,936
69,433
6,969
8,985
3,632
37,637
7,770
5,183
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4,878
323
135
376
0
0
242
599
412
0
0
0
0
0
0
0
0
0
0
0
36
0
0
0
0
5
1
296
0
389
171
0
r\
I
0
0
t
\
0
1,771
1,157
0
r\
I
0
r
U
-8
0
0
457
6,409
18,266
0
r
23,701
7,509
0
1,100
-1,758
2,478
2,672
4,389
0
0
0
0
101
0
19
1,446
0
0
0
0
0
0
0
0
0
0
10
-719
-4,261
0
0
3,127
0
0
0
0
0
1
0
0
0
0
0
0
0
r
23,701
0
0
10
7,509
0
8,115
1,745
2,132
1,070
1,285
398
2,181
0
r
I
0
0
0
39
0
59
0
0
0
0
0
0
0
0
0
0
0
0
85
3.598
-21,361
1,969
0
0
0
0
I
(
0
0
0
50,339
I
I
732,891
0
]
-17,817
21,616
* Less than $500,000 in absolute value.
1. The values shown in the producers' prices columns for I-O's 65 and 69 are for direct purchases of trade
and transportation services. The corresponding values in the use table include the trade margins and transportation
4
119
1
0
-1
342
15
17
0
0
n
43
2
5
6
6
1
48
2
39
1
16
22
50
10
37
6
12
8
86
73
2
5
34
56
13
1
4
2
10
1
17
1
1
n
1
4
3
1
2
-2
7
4
4
c
202
55
-2
6
1
2
27
0
0
0
0
n
I
0
0
0
0
0
0
0
0
0
f
(.
0
0
0
0
0
0
Purchasers'
prices
485
17
14
515
1,129
2,069
15,946
37
0
14
61
56
10
0
0
32
587
122
636
544
122
559
2,663
1,494
633
15
81
2,725
12,111
2,591
1,407
782
1,197
362
3,645
684
5,922
262
555
1.062
14.630
542
5.364
2,959
983
342
6,128
3,233
666
777
1,019
1,407
3,303
166
869
2,123
2,634
2,899
6,063
540
2,335
2,696
4,182
1,660
13,167
1,217
1,847
943
1,358
4,137
12,596
2,404
12,918
10,874
22,891
1,278
10,311
2,224
2,831
731
300
7,209
10,186
1
1 Qtyi
i ,yoc
0
0
2,496
0
n
I
0
0
0
13
0
0
0
0
0
0
0
0
0
0
0
0
0
52
0
59
0
0
0
0
0
0
0
18
39
0
0
0
0
1,492
0
0
0
0
0
0
0
]
156
0
(
[
I
4,929
0
•
0
134
161
37
1,275
85
12,598
2,906
10,830
49
31
928
2,398
1,546
4/0
271
31
0
0
0
0
0
110
6
0
63
780
8
237
0
0
27
585
12
15
24
3
2
236
8
313
6
25
14
910
20
525
16
30
17
278
209
7
22
64
77
63
3
10
26
112
29
270
10
28
30
38
58
174
10
24
24
14
41
130
38
325
362
177
17
48
c
7
S
0
0
0
0
n
I
0
0
0
0
0
0
0
0
0
0
0
0
0
0
(
2,164
4,267
I
(
0
1,222
0
c
Purchasers'
prices
12,747
1
0
0
0
0
0
0
0
Wholesale
and retail
trade
margins
Transportation
costs
Producers'
prices
-711
3
246 -3,896
10
113
0
0
18
(*)
27
1,468
8 -1,735
1
9
0
0
0
0
11
468
239
2,053
108
351
29
633
25
443
123
1,575
33
367
147
1,352
46
644
66
1,021
3
132
14
480
132
1,342
56
622
124
272
14
553
186
1,392
67
636
22
228
501
3,588
1,500
136
62
530
31
214
74
715
150
1,410
43
921
1
25
53
614
8
247
161
775
18
227
133
483
13
56
14
65
6
204
15
169
8
113
20
354
34
340
19
131
-6
-4
106
721
58
508
47
838
38
403
319
8,636
1,945
145
2,127
-2
92
1,167
1,327
42
171
570
2,714
506
0
0
0
0
0
0
0
0
c»
Imports of goods and services
Exports of goods and services
A-l C
0
0
0
0
(
(
0
0
0
Wholesale
and retail
trade
margins
Transportation
costs
Producers'
prices
Purchasers'
prices
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
-31,136
7,709
Change in business inventories
0
0
0
0
0
0
0
4,389
0
I
I
2,566,099
0
Wholesale
and retail
trade
margins
Transportation
costs
Producers'
prices
33,098
12,647
13.745
1,922
3,017
r
(
Gross private fixed investment
Whnle
wnoiesale and
retail
trade
margins
16
144
169
0
0
I
457
I
I
31,653
1,388
587
99
58
117
69
430
93
313
18
22
137
1,027
255
205
564
126
43
1,258
434
46
142
122
178
298
6
113
56
597
471
1,205
122
290
430
369
123
2,418
364
148
107
268
394
1,518
334
515
938
338
63
1,082
748
690
0
0
0
0
3,503
1,558
880
15
81
2,784
14,084
3,190
1,521
863
1.318
433
4.311
785
6,548
286
601
1,213
16,567
816
6,094
3,539
1,139
402
7,664
3,876
719
941
1,205
1,663
3,665
174
992
2,206
3,343
3,398
7,538
671
2,653
3,156
4,589
1,840
15,759
1,591
2,019
1,074
1,641
4,572
14,244
2,776
13,758
12,174
23,405
1,358
11,441
2,981
3,599
731
300
7,209
10,186
1
1 Q^f
1 ,yoc
0
2,496
0
0
0
0
0
0
0
0
0
0
0
0
0
0
r\
I
0
0
0
0
0
0
0
0
992
I
(
0
134
161
37
-808
-2,353
-3,747
-16
-1,349
-65
-28,965
-734
0
0
-467
-18,538
-880
-3.601
-919
-25,395
-1,772
-6,399
-5,287
-9,914
-126
-226
-1,335
-10,727
-990
-2,009
-7,590
-1,281
-214
-13,332
-9,702
-9,700
-1,837
-4,513
-10,824
-6,992
-155
-961
-2,261
-6,573
-2,102
-5,402
-1,321
-4,911
-4,993
-6,947
-604
-17,329
-1,504
-3,346
-2,950
-3,341
-20,190
-13,704
-4,511
-61,157
-16,950
-6,875
-2,937
-9,990
-5,696
-15,769
-135
0
3,264
-5,711
n
U
0
0
-986
-1,763
0
1,275
15,533
85
0
12.598
2,906
-161
-3,078
n
I
0
10,830
49
31
928
2,398
1,546
0
0
-104
-391
-740
0
0
-64
0
_<
0
0
31
1,222
5,711
-78,696
-2,068
0
31,65:
I
-17,817
28,037
I
315,267
I
8,28
25,019
348,572
Purchasers'
prices
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
r
I
0
ft
u
0
0
0
0
0
0
0
0
0
r
I
0
0
0
0
0
0
0
0
0
0
0
0
(
c
(
c
-490,442
costs associated with all purchases by each industry or category of final uses.
-808
-2,353
-3,747
-16
-1,349
-65
-28,965
-734
0
0
-467
-18,538
-880
-3,601
-919
-25,395
-1,772
-6,399
-5,287
-9,914
-126
-226
-1,335
-10,727
-990
-2,009
-7,590
-1,281
-214
-13,332
-9,702
-9,700
-1,837
-4,513
-10,824
-6,992
-155
-961
-2,261
-6,573
-2,102
-5,402
-1,321
-4,911
-4,993
-6,947
-604
-17,329
-1,504
-3,346
-2,950
-3,341
-20,190
-13,704
-4,511
-61,157
-16,950
-6,875
-2,937
-9,990
-5,696
-15,769
-135
0
3,264
-5,711
(1
u
0
0
-986
-1,763
0
15,533
0
(
0
-161
-3,078
n
u
0
-104
-391
-740
0
0
0
0
0
0
t
4/0
271
16
144
169
I
I
Wholesale
and retail
trade
margins
Transportation
costs
Producers'
prices
t
(
(
0
0
(
(
0
0
0
0
I
(
(
(
c
(
I
(
I
—tOo
0
0
-64
0
-9
0
0
-78,696
-2.068
0
0
0
0
-490,442
April 1994
SURVEY OF CURRENT BUSINESS
and Purchasers' Prices, 1987 Benchmark1
Federal Government purchases, national
defense
Producers'
prices
Transportation
costs
2
0
0
38
-142
56
5
-2
7,495
4,358
20,365
189
0
105
3
566
140
32
39
124
42
15
428
1,793
9
13
472
160
1
2,649
480
47
22
51
78
395
57
491
110
407
1,879
303
312
180
76
542
2,573
3,493
101
467
38
41
4,964
5,884
1,577
609
1,050
33,306
6,754
23,710
704
123
234
2,309
677
1,817
0
1,954
0
1,734
465
184
0
0
0
36
0
547
692
65
2,833
7,561
15,944
79
371
94
823
-352
1,127
312
80
8,673
-104
108,244
-161
0
0
286,011
•3
0
0
-5
17
0
-2
0
0
42
3
0
n
0
5
1
1
(*)
3
(*)
1
2
66
n
1
3
4
0
109
71
1
(*)
8
6
1
12
1
22
18
10
6
1
1
6
95
49
1
8
1
(*)
21
62
14
15
27
97
5
91
3
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
911
Wholesale and
retail
trade
margins
Federal Government purchases, nondefense
Purchasers'
prices
n
0
0
0
-1
1
0
0
0
0
39
18
0
2
0
54
34
2
5
14
n
n
20
79
3
n
96
24
0
651
87
6
1
12
5
25
3
59
8
120
378
49
95
13
18
91
175
645
20
94
4
6
227
718
102
25
97
360
20
341
253
33
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5,131
2
0
0
38
-148
74
5
-3
7,495
4,358
20,446
210
0
107
3
625
175
34
45
141
43
16
450
1,938
12
14
570
189
1
3,408
637
54
23
65
91
426
60
562
119
549
2,275
362
413
194
95
639
2,843
4,187
122
570
43
47
5,211
6,663
1,693
649
1,174
33,763
6,780
24,141
Producers'
prices
Transportation
costs
10
750
-1,112
84
1
29
-177
4
8,055
1,900
2,380
1,836
0
10
27
1
45
13
90
243
31
138
669
100
15
1
324
42
5
545
157
4
37
57
72
250
0
168
28
75
167
18
9
40
6
18
84
675
21
168
4
21
301
28
95
131
43
1,206
405
1,540
959
162
234
-547
2,309
2,368
677
0
130
648
0
1,954
1,899
0
0
937
114
53
0
0
1,817
1,734
465
184
0
0
0
36
0
547
692
65
2,833
7,561
15,944
79
371
94
823
425
469
1,400
1,710
0
696
254
60
1,300
538
4,963
5
768
92
179
965
-352
1,127
6,199
312
80
97
31
8,673
-104
108,244
-161
1,443
42,383
-356
0
0
0
0
292,052
91,883
778
(*)
0
0
0
(*)
9
34
4
0
0
0
1
0
0
n
0
n
(1
*
)
6
0
1
16
-13
1
n
2
2
n
21
12
0
1
2
4
5
0
2
0
3
2
1
(*)
n
0
0
2
7
0
2
n
(1
*
)
0
1
3
1
5
1
5
2
2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
149
Wholesale and
retail
trade
margins
State and local government purchases,
education
Purchasers'
prices
n
0
11
750
0
0
0
1
20
0
0
0
1
7
0
0
2
-1,112
n
11
1
12
26
n
1
48
12
3
0
66
10
1
127
27
0
6
9
1
20
0
15
1
39
3
3
1
2
1
2
4
97
7
36
n
5
12
2
6
5
4
0
4
144
150
-112
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
843
84
1
38
-124
9
Producers'
prices
Transportation
costs
30
220
6
284
0
21
0
0
8,055
1,900
2,381
1,844
10,091
5,912
0
10
30
1
57
14
103
275
31
139
733
99
20
1
392
54
6
692
195
4
44
67
76
274
0
185
29
117
172
22
10
42
7
20
90
779
28
206
5
26
314
30
101
140
47
-1
58
8
15
95
59
992
1,211
410
1,688
577
-657
469
1
3,739
1,183
32
302
3,403
567
111
1
86
119
228
3,789
88
8
66
6
4
4
0
216
177
0
84
4
134
69
n
116
1,196
476
140
101
284
335
81
71
1,288
294
0
103
517
1,015
1,184
2,169
130
648
0
483
0
876
3
1,899
2,519
2,368
0
937
114
53
0
0
1,400
1,710
0
696
254
60
1,300
538
4,963
5
768
92
179
965
0
4,541
685
1,018
0
0
0
666
0
713
-1.237
301
1,402
1,729
4,136
416
-5,546
823
189
-10
6,199
-15,934
97
31
128
171
43
683
1,444
778
42,383
-356
173,286
0
0
0
0
0
92,875
213,720
n
n
0
55
0
4
0
0
0
0
0
81
0
1
n
0
n
4
7
48
1
12
86
37
4
n
1
5
12
131
9
0
2
1
1
Wholesale and
retail
trade
margins
2
65
1
0
0
(*)
0
0
0
0
0
450
-1
4
1
-1
17
11
159
77
2
11
278
39
46
0
18
24
30
897
26
0
13
8
(*)
n
0
0
2
7
0
2
0
2
1
0
5
15
5
1
2
2
2
1
1
33
10
0
5
2
4
38
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
0
0
0
0
0
918
0
3
84
0
30
1
20
6
0
9
347
178
14
8
72
39
9
11
52
96
0
15
38
365
319
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
0
0
0
0
3,899
State and local government purchases, other
Purchasers'
prices
32
340
8
284
0
26
0
0
Producers'
prices
Transportation
costs
54
368
-419
756
0
11
0
-19
10,091
5,912
61,020
19,816
1
116
4,271
2,114
-1
63
9
14
112
74
-10
84
43
838
347
55
784
1,158
1,308
1,057
35
325
125
154
3,768
1,466
1,635
642
161
1
105
147
271
4,816
123
n
80
75
7
5
4
0
221
269
0
116
5
156
75
213
1
2,778
321
66
4,142
1,260
105
207
104
51
54
3
1
61
373
265
1,274
658
155
112
358
377
90
83
9
102
5
162
135
786
179
132
134
189
368
94
120
1,373
4,426
400
0
124
557
422
20
411
n
129
1,558
1,384
1,541
2,169
2,732
1,589
483
0
876
3
747
229
486
89
990
65
2,519
3,021
0
0
4,541
7,180
685
987
-35
0
0
1,018
0
0
0
666
0
713
-1,237
9,366
161
0
5,850
2,073
301
597
1,402
1,729
4,136
3,845
-73
7,298
416
181
-5,546
2,138
1,400
-1,641
-32,747
-318
1,354
823
189
-10
-15,934
128
171
57
687
187
6
173,286
1,589
142,873
0
0
0
0
0
0
218,272
271,585
1
61
(*)
0
0
2
0
102
0
0
1
60
n
1
1
10
2
2
2
33
3
5
15
104
12
H
19
12
3
141
52
1
5
5
6
2
0
0
(*)
10
3
45
0
0
1
4
8
2
1
3
1
2
1
2
114
14
0
8
12
7
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
918
Wholesale and
retail
trade
margins
3
99
3
0
0
(*)
0
6
0
0
11
260
-7
6
5
83
58
6
151
87
9
5
62
124
61
0
566
50
9
1,018
236
9
40
12
5
3
n
(*)
4
273
11
263
3
12
0
12
11
230
77
12
13
45
44
10
22
180
172
n
23
648
572
200
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
0
5,818
Purchasers'
prices
57
528
-416
756
0
13
0
89
61,020
19,816
128
2,435
-17
91
49
931
406
63
937
1,178
137
164
1,543
1,863
286
1
3,363
383
78
5,301
1,549
Commodity
number
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
26
29A
29B
30
31
32
115
252
121
61
58
3
1
66
656
279
33+34
1,581
44+45
12
116
5
176
150
1,024
257
146
150
235
414
105
144
4,721
608
20
443
3,392
2,168
960
229
486
89
990
65
3,021
0
7,180
987
-35
0
0
9,366
161
0
5,850
2,073
597
3,845
-73
7,298
181
2,138
1,400
-1,641
-32,747
-318
1,354
187
8
1,591
142,873
0
0
0
278,320
35
36
37
38
39
40
41
42
43
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
T
•
85
86 • April 1994
SURVEY OF CURRENT BUSINESS
Table D.—Input-Output Commodity Composition of Personal Consumption Expenditures, in Producers' and Purchasers' Prices, 1987 Benchmark
[Millions of dollars]
NIPA code/
1-0 number
Producers'
prices
Wholesale
and retail
trade
margins
Transportation
costs
Purchasers'
prices
211,016
1,722
11,383
2,584
2
194,576
60
5
1,201
-516
7,811
19
2,585
48
1
4,863
9
0
285
0
111,975
644
9,323
1,346
1
100,017
43
0
603
0
330,802
2,385
23,291
3,978
4
299,456
112
5
2,089
-516
4. Purchased meals and beverages (n.d.)
Total
65A
65D
74
76
77B
172,236
36
93
169,638
2,434
35
0
0
0
0
0
0
0
0
0
0
0
0
6,464
158
174
25
6,107
200
2
42
899
8
61
4
827
156
7,563
167
276
30
7,090
6. Food produced and consumed on farms (n.d.)
Total
1
2
14
714
107
138
470
Wholesale
and retail
trade
margins
Purchasers'
prices
Total
72A
72B
8,328
62
8,266
0
0
0
0
0
0
8,328
62
8,266
13,505
1,463
11,926
116
26,230
3,065
23,573
-409
714
107
138
470
NIPA code/
I-O number
41
42
64
69B
81
18. Jewelry and watches (d.)
12,698
1,599
11,624
-525
Total
62
64
81
27
4
23
0
9,443
9,428
15
Total
72B
73C
0
0
0
0
0
0
9,443
9,428
15
21. Toilet articles and preparations (n.d.)
17,370
69
15,497
20
589
427
221
549
Total
19
29B
32
42
54
58
64
405
1
309
1
25
12
13
45
Total
72A
72B
76
16,078
311
13,513
2,254
0
0
0
0
Producers'
prices
1,350
600
415
27
8
Transportation
costs
12
28
1
0
0
Wholesale
and retail
trade
margins
Purchasers'
prices
1,431
791
498
0
114
2,793
1,419
914
27
122
32. Other durable house furnishings (d.)
12,203
66
10,795
17
347
256
175
548
29,979
135
26,601
37
960
695
408
1,142
22. Barbershops, beauty parlors, and health clubs (s.)
0
0
0
0
0
0
0
0
Transportation
costs
19. Other misc. personal, clothing and jewelry services (s.)
172,236
36
93
169,638
2,434
35
5. Food furnished to employees (including military) (n.d.)
Total
1
2
3
14
Producers'
prices
17. Cleaning, storage, and repair of clothing and shoes (s.)
3. Food purchased for off-premise consumption (n.d.)
Total
1
2 .
3
9+10
14
27A
69B
80
81
NIPA code/
I-O number
16,078
311
13,513
2,254
0
0
0
0
Total
17
19
20+21
22+23
26B
32
33+34
35
36
40
42
44+45
47
48
50
51
52
53
54
55
56
61
62
64
69B
80
81
....
....
....
....
17,946
4,776
1,371
1,357
1,569
72
203
127
358
1,146
80
1,495
248
583
176
88
237
16
81
104
1,035
793
35
481
1,268
200
725
-677
566
108
6
32
23
0
5
3
12
17
n
32
2
3
2
1
3
n
3
34
3
3
3
98
0
173
0
17,748
4,006
1,095
1,107
995
48
202
109
375
917
53
1,827
247
523
113
80
311
17
56
72
1,033
535
32
377
1,508
0
673
1,439
36,260
8,891
2,472
2,495
2,587
119
410
239
745
2,080
133
3,354
497
1,108
291
170
551
32
138
179
2,102
1,331
69
860
2,874
200
1,571
763
33. Semidurable house furnishings (n.d.)
24. Owner-occupied nonfarm dwellings-space rent (s.)
7. Tobacco products (n.d.)
Total
15
20,774
20,774
121
121
13,651
13,651
34,546
34,546
26,027
6,299
19,703
25
Total
71B
12,264
2,801
9,463
O
60
34
26
0
13,703
3,465
10,213
25
50,938
660
43,726
98
3,141
166
84
2,997
222
2
-158
358
7
200
1
92
20
3
21
14
0
0
47,121
666
40,297
121
2,651
184
97
2,642
261
0
203
98,416
1,333
84,223
220
5,883
369
184
5,661
496
2
45
15. Men's and boys' clothing and accessories, except shoes
(n.d.)
Total
16
18
19
32
33+34 ....
64
81
28,267
95
27,345
69
34
750
101
-126
177
1
159
1
1
8
7
0
21,310
92
20,404
73
33
514
105
90
120,032
120,032
0
0
321,380
321,380
49,754
188
47,908
142
68
1,271
212
-36
0
0
0
0
120,032
120,032
26. Rental value of farm dwellings (s.)
Total
71A
71B
14. Women's and children's clothing and accessories,
except shoes (n.d!)
Total
16
18
19
24
26B
32
33+34 ....
64
69B
81
0
0
25. Tenant-occupied nonfarm dwellings-rent (s.)
12. Shoes and other footwear (n.d.)
Total
32
33+34 ....
81
321,380
321,380
Total
71A
4,888
3,764
1,124
0
0
0
0
0
0
4,888
3,764
1,124
16,808
16,808
0
0
0
0
16,808
16,808
29. Furniture, including mattresses and bedsprings (d.)
Total
22+23 ....
81
18,091
17,882
208
108
108
0
16,270
16,011
259
34,469
34,001
468
30. Kitchen and other household appliances (d.)
Total
22+23 ....
38
40
52
54
58
81
12,837
18
54
445
712
11,380
222
6
324
o
14
7
301
2
0
9,749
267
81
3
7,768
79
2
435
150
11
114
675
3
161
O
154
5
2
0
35
0
0
9
3
2
3
58
0
38
0
9,427
265
81
3
7,187
63
2
431
155
11
121
919
0
170
21
19,330
536
165
6
14,990
142
3
875
308
25
237
1,651
3
369
20
34. Cleaning and polishing preparations, and miscellaneous
household supplies and paper products (n.d.)
27. Otller housing (s.)
Total
72A
Total
16
17
18
19
26B
31
32
35
37
41
64
69B
80
81
8,620
9
36
351
651
7,408
120
45
21,781
27
91
809
1,370
19,089
344
50
Total
3
9+10
17
19
24
25
26B
27A
27B
29B
30
32
36
42
53
55
58
64
20,022
56
35
94
84
5,919
292
23
178
784
9,358
194
237
327
431
74
807
823
305
950
2
32
1
1
180
7
0
21
31
561
10
5
52
3
2
8
11
23
12,123
18
20
40
39
2,864
148
11
125
691
5,904
89
119
154
185
51
111
577
312
33,095
76
86
135
124
8,963
447
34
324
1,506
15,823
294
361
534
620
127
1,592
1,411
641
35. Stationery and writing supplies (n.d.)
31. China, glassware, tableware, and utensils (d.)
16. Standard clothing issued to military personnel (n.d.)
Total
16
18
33+34 ....
133
25
80
28
1
n
0
n
13
2
9
2
146
27
89
30
Total
20+21 ....
32
35
36
38
6,520
381
1,956
1,000
765
18
121
9
34
24
14
1
8,090
506
2,484
1,382
864
21
14,732
896
4,473
2,406
1,643
40
Total
24
26B
27A
32
64
3,882
1,086
2,220
240
6
331
135
36
55
39
n
4
6,005
1,378
3,658
309
10
650
10,022
2,500
5,932
588
16
985
April 1994 •
SURVEY OF CURRENT BUSINESS
8j
Table D.—Input-Output Commodity Composition of Personal Consumption Expenditures, in Producers' and Purchasers' Prices, 1987 BenchmarkContinued
[Millions of dollars]
NIPA code/
I-O number
Transportation
costs
Producers'
prices
Wholesale
and retail
trade
margins
Purchasers'
prices
NIPA code/
I-O number
37. Electricity (s.)
Total
68A
63,318
63,318
Total
68B
25,544
25,544
Producers'
prices
Transportation
costs
Wholesale
and retail
trade
margins
Purchasers'
prices
NIPA code/
I-O number
49. Other professional medical services (s.)
0
0
63,318
63,318
0
0
0
0
25,544
25,544
Total
73C
77A
38,652
495
38,158
0
0
0
0
0
0
79
38,652
495
38,158
0
0
0
51. Hospitals (s.)
Total
77A
0
0
0
20,800
14,672
6,128
4,794
62
33
79
4,620
0
11,201
241
118
294
10,356
192
165,479
165,479
0
0
0
0
165,479
165,479
Total
81
14,070
14,070
6,102
138
83
192
5,498
192
305
41
2
23
239
0
Total
77A
29,510
29,510
0
0
29,510
29,510
0
0
0
0
21,305
21,305
56. Health insurance (s.)
Total
70B
21,305
21,305
0
0
61. Brokerage charges and investment counseling (s.)
51,879
51,049
830
0
0
0
0
0
0
51,879
51,049
830
0
0
0
8,242
533
7,709
42. Domestic service (s.)
Total
73C
84
8,242
533
7,709
0
0
0
24,691
44
5,996
114
36
12
3,275
4,131
92
4,712
6,269
10
2
2
0
0
0
0
0
0
0
0
0
0
20
16
0
0
0
0
0
0
0
0
0
4
24,714
63
5,996
114
36
12
3,275
4,131
92
4,712
6,269
14
45. Drug preparations and sundries (n.d.)
Total
24
27A
29A
31
32
54
55
62
27,762
1,620
74
23,958
24
323
41
7
1,718
232
43
4
164
1
12
1
0
7
19,012
682
35
16,617
17
227
18
5
1,413
Total
70A
23,398
23,398
0
0
0
0
23,398
23,398
62. Bank service charges, trust services, and safe deposit
box rental (s.)
Total
70A
18,349
18,349
Total
70A
0
0
0
0
18,349
18,349
0
0
0
0
93,475
93,475
2,688
194
548
1,940
6
13
3
2
8
0
5,337
284
1,014
4,040
0
8,038
480
1,564
5,988
6
47. Physicians (s.)
Total
77A
99,923
99,923
0
0
0
0
99,923
99,923
48. Dentists (s.)
Total
77A
26,416
26,416
0
0
14,209
14,209
28,280
28,280
0
0
747
728
19
0
10,453
6,382
1,315
2,756
45,039
35,342
5,317
4,381
2,174
1
16
1,936
Total
75
76
77B
67,759
67,684
57
18
0
0
0
0
<l
3
1
3
4
8
11,036
117
166
5,364
10
279
18
154
290
625
26
1,857
2,107
22
25,238
238
346
12,719
21
563
50
310
622
1,275
65
4,139
5,348
-457
202
202
0
0
67,961
67,886
57
18
28,460
28,460
85,355
85,355
108
0
74. Repair, greasing, washing, parking, storage, rental, and
leasing (s.)
75. Gasoline and oil (n.d.)
Total
31
54,666
54,666
2,229
2,229
76. Bridge, tunnel, ferry, and road tolls (s.)
64. Expense of handling life insurance (s.)
Total
70B
41,459
41,459
0
0
0
0
Total
79
41,459
41,459
65. Legal services (s.)
Total
73B
47,006
2,345
112
40,738
41
561
60
12
3,137
93,475
93,475
33,839
28,232
3,982
1,625
12,029
120
164
5,419
11
279
29
155
330
646
38
2,186
3,133
-479
31,069
31,069
Total
70B
0
0
0
0
31,069
31,069
6,259
466
11
90
1,022
4,670
23
21
2
0
0
0
1,105
1,081
24
0
0
0
15,522
15,522
7,387
1,569
36
90
1,022
4,670
0
0
0
0
2,016
2,016
0
0
0
0
15,522
15,522
0
0
4,583
4,583
0
0
2,359
2,359
0
0
576
576
0
0
1,364
1,364
0
0
19,935
19,935
79. Mass transit systems (s.)
Total
65A
66. Funeral and burial expenses (s.)
Total
36
42
65D
71B
72B
2,016
2,016
77. Motor vehicle insurance (s.)
4,583
4,583
Total
65A
2,359
2,359
0
0
80. Taxicab (s.)
46. Ophthalmic products and orthopedic appliances (d.)
Total
58
62
63
81
0
0
Total
19
29B
32
35
42
50
52
55
56
57
58
59B
81
63. Services furnished without payment by financial
intermediaries except life insurance carriers and private
noninsured pension plans (s.)
43. Other household operation (s.)
Total
54
,
65B
65C
65D
69B
70B
72B
73B
73C
78
81
Purchasers'
prices
73. Tires, tubes, accessories, and other parts (d.)
41. Telephone and telegraph (s.)
Total
66
72A
Total
59A
61
81
55. Nursing homes (s.)
40. Fuel oil and coal (n.d.)
Total
7
20+21 ....
27A
31
68C
Wholesale
and retail
trade
margins
72. Other motor vehicles (d.)
0
0
39. Water and other sanitary services (s.)
20,800
14,672
6,128
Transportation
costs
71. Net purchases of used autos (d.)
38. Gas (s.)
Total
68C
Producers'
prices
0
0
82. Railway (s.)
67. Other personal business (s.)
Total
66
70A
70B
72B
73B
73C
73D
77B
78
80
26,416
26,416
12,087
203
568
37
1,230
295
1,331
661
7,541
161
62
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
12,087
203
568
37
1,230
295
1,331
661
7,541
161
62
17,934
17,934
93,474
93,474
Total
65A
576
576
0
0
83. Bus (S.)
Total
65A
1,364
1,364
Total
65D
19,935
19,935
0
0
84. Airline (s.)
0
0
70. New autos (d.)
85. Other intercity transportation (s.)
Total
59A
73,642
73,642
1,898
1,898
Total
2,061
0
0
2,061
88 • April 1994
SURVEY OF CURRENT BUSINESS
Table D.—Input-Output Commodity Composition of Personal Consumption Expenditures, in Producers' and Purchasers' Prices, 1987 BenchmarkContinued
[Millions of dollars]
NIPA code/
I-O number
Producers'
prices
65A
65B
65C
65E
Transportation
costs
Wholesale
and retail
trade
margins
Purchasers'
prices
0
0
0
0
0
0
0
0
177
155
133
1,596
177
155
133
1,596
87. Books and maps (d.)
Total
26B
69B
81
7,887
7,875
13
_-|
149
149
0
0
4,968
4,924
0
44
13,004
12,948
13
43
88. Magazines, newspapers, and sheet music (n.d.)
Total
26A
26B
81
12,020
11,741
421
-142
444
400
44
0
5,039
4,808
231
0
17,503
16,949
695
-142
89. Nondurable toys and sport supplies (n.d.)
Total
1
3
13
17
24
26B
27A
32
53
55
58
63
64
72B ..
81
..
11,514
134
319
406
41
137
67
235
62
6
100
186
1,472
8,339
11
-1
157
9
0
4
1
6
0
37
2
r
2
7
89
0
0
13,674
19
257
397
46
138
60
338
79
6
128
169
2,146
9,892
0
1
25,345
162
576
807
88
281
127
610
143
12
229
357
3,624
18,320
11
14,023
693
508
91
217
194
461
38
316
7,025
111
1,214
2,490
505
159
146
1
3
30
4
8
5
1
1
60
O
6
27
0
0
11,406
681
549
121
245
173
228
5
88
3,720
129
1,770
3,270
0
427
25,575
1,376
1,060
242
466
375
693
44
405
10,806
241
2,989
5,787
505
586
91. Video and audio products, computing equipment, and
musical instruments (d.)
Total
33+34 ....
51
56
57
58
64
73A
80
81
23,508
37
3,052
16,948
212
1,407
861
855
115
22
254
8
157
1
13
12
0
27
0
19,356
20
1,911
15,444
118
806
568
322
87
78
43,118
58
5,006
32,550
331
2,226
1,441
1,177
229
100
'Less than $500,000.
NOTE.—The identifying numbers for the personal consumption categories
are those used in table 2.4 in the National Income and Product Accounts
of the United States, Volume 2, 1959-88.
Producers'
prices
Wholesale
and retail
trade
margins
Transportation
costs
Purchasers'
prices
92. Radio and television repair (s.)
Total
57
72B
73C
.
3,510
13
3,168
329
0
0
0
0
0
0
0
0
3,510
13
3,168
329
Total
2
73C
80
4,128
3,988
130
10
590
588
0
2
4,432
4,423
0
9
NIPA code/
I-O number
79
80
81
9,149
8,998
130
21
3,443
12
3,362
70
0
0
0
0
4,087
3,938
149
0
0
0
3,443
12
3,362
70
0
0
0
4,087
3,938
149
97. Spectator sports (s.)
Total
76
77B
3,366
1,942
1,424
0
0
0
0
1
401
6,007
3
615
0
0
33,788
33,788
0
2
0
33,788
33,788
0
0
104. Nursery, elementary, and secondary schools (s.)
Total
77B
14,496
14,496
0
0
0
0
14,496
14,496
105. Other private education and research (s.)
0
0
0
0
96. Legitimate theaters and opera, and entertainments of
nonprofit institutions (except athletics) (s.)
Total
76
77B
n
Purchasers'
prices
103. Higher education (s.)
95. Motion picture theaters (s.)
Total
65D
76
77B
6,007
,
Wholesale
and retail
trade
margins
Transportation
costs
Producers'
prices
214
Total
77B
93. Flowers, seeds, and potted plants (n.d.)
0
0
0
3,366
1,942
1,424
Total
76
77B
13,692
365
13,328
0
0
0
0
0
0
13,692
365
13,328
106. Religious and welfare activities (s.)
Total
77B
75,284
75,284
0
0
0
0
75,284
75,284
108. Foreign travel by U.S. residents (s.)
Total
65C
65D
80
33,932
1,741
9,058
23,134
0
0
0
0
0
0
0
0
33,932
1,741
9,058
23,134
109. Expenditures abroad by U.S. residents (n.d.)
98. Clubs and fraternal organizations (s.)
n
90. Wheel goods, sports and photographic equipment, boats,
and pleasure aircraft (d.)
Total
13
19
32
33+34 ....
42
43
58
60
61
62
63
64
73C
81
NIPA code/
I-O number
Total
76
77B
7,098
5,056
2,041
0
0
0
0
0
0
7,098
5,056
2,041
6,051
1,171
4,880
0
0
0
0
0
0
6,051
1,171
4,880
Total
76
3,010
3,010
0
0
0
0
0
0
0
0
3,888
3,888
-30,323
-30,323
0
0
0
0
-30,323
-30,323
111. Personal remittances in kind to nonresidents (n.d.)
Total
83
100. Pari-mutuel net receipts (s.)
3,888
3,888
110. Expenditures in the United States by nonresidents (s.)
Total
83
99. Commercial participant amusements (s.)
Total
65C
76
Total
80
3,010
3,010
-613
-813
0
0
0
0
-813
-813
Personal consumption expenditures
Total
2,566,099
20,949
485,204
3,072,252
101. Other recreational expenditures (s.)
Durable commodities (d.)
Total
1
3
4
65A
65C
65D
66
67
70B
72A
72B
73C
76
77A
77B
56,808
969
778
647
896
313
126
10,711
1,326
39
2,170
3,614
4,553
20,114
3,529
802
68
66
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1,105
363
28
0
0
0
0
0
0
0
0
0
313
0
0
0
57,982
1,398
806
647
896
313
126
10,711
1,326
39
2,170
3,614
4,866
20,114
3,529
802
Personal consumption expenditures of scrap, used and secondhand
goods (I-O 81) from other final demand components are shown net of corresponding sales. (Sales among persons cancel.) However, the trade margin has been measured on all sales of used goods—both among persons
Total
249,778
6,528
158,931
415,237
Nondurable commodities (n.d.)
Total
673,095
Total
1,643,226
14,328
323,840
1,011,264
2,433
1,645,752
Services (s.)
93
and between personal consumption expenditures and other final demand
categories—to the extent that such sales pass through trade channels. The
trade margin is usually the largest part of the value of used goods in purchasers' prices.
April 1994
SURVEY OF CURRENT BUSINESS
•
89
Table E.—Input-Output Commodity Composition of Producers' Durable Equipment Expenditures, in Producers' and Purchasers' Prices,
1987 Benchmark
[Millions of dollars]
NIPA code/
I-O number
Producers'
prices
Wholesale
and retail
trade
margins
Transportation
costs
Purchasers' prices
5. Computers and peripheral equipment
Total
51
81
29,802
29,809
-7
74
74
0
6,652
5,878
774
36,528
35,761
767
4,259
517
3,455
10
232
46
52
7
45
0
0
0
1,820
105
1,605
0
0
109
52
58
73B
81
Producers'
prices
2
10
640
2
Wholesale
and retail
trade
margins
Transportation
costs
0
0
Purchasers' prices
0
1
0
160
2
11
640
162
15. General industrial, including materials handling,
equipment
6. Office equipment except computers
Total
50
51
73A
73B
81
NIPA code/
I-O number
6,131
628
5,106
10
232
155
7. Communication equipment
Total
44+45 ....
46
48
49
50
73B
81
16,167
36
5,029
2
10,238
197
667
-1
189
1
97
0
90
1
0
0
1,855
7
1,033
aS
17
0
116
18,211
44
6,159
2
11,011
214
667
114
NIPA code/
I-O number
Producers'
prices
Wholesale
and retail
trade
margins
Transportation
costs
Purchasers' prices
26. Agricultural machinery, except tractors
Total
44+45 ....
58
73B
81
3,281
3,134
11
168
-32
92
92
n
0
0
1,739
1,169
1
0
570
5,112
4,395
12
168
537
27. Construction machinery, except tractors
Total
44+45 ....
73B
81
7,116
6,847
313
-43
261
261
0
0
1,430
1,247
0
183
8,807
8,354
313
140
28. Mining and oilfield machinery
Total
13
38
51
56
58
62
66
73B
81
40,319
198
36
213
21,663
2,643
9,546
4,389
1,585
47
168
0
1
2
132
22
12
0
0
0
1,562
0
5
41
1,319
137
61
0
0
0
42,050
198
42
256
23,113
2,801
9,619
4,389
1,585
47
11,669
11,137
502
30
58
58
0
0
2,129
2,129
0
0
Total
47
53
62
73B
11,794
788
5,878
4,719
410
147
16
106
25
0
1,263
123
820
320
0
13,203
927
6,803
5,064
410
Total
8
44+45 ....
49
73B
81
13,856
13,324
502
30
Total
59A
59B
81
26,585
21,685
6,591
-1,690
Total
59A
81
24,652
41,248
-16,596
614
559
55
0
924
84
801
14
45
-20
29
0
29
n
0
0
279
0
123
1
0
156
1,232
84
952
15
45
136
29. Service industry machinery
18. Trucks, buses, and truck trailers
8. Instruments
Total
62
73B
81
16. Electrical transmission, distribution, and industrial
apparatus
2,696
2,104
323
270
29,895
24,347
6,969
-1,421
3,121
2,775
346
28,836
45,086
-16,250
564
32
135
6
391
9,718
213
8,985
883
-363
7,581
34
7,184
346
18
Total
50
52
73B
81
76
1
75
0
0
2,544
1
2,543
0
0
10,201
35
9,802
346
18
19. Autos
30. Electrical equipment, n.e.c.
9. Photocopy and related equipment
Total
62
63
73B
81
8,635
2,635
5,653
304
44
30
6
24
0
0
2,520
427
2,093
0
0
11,185
3,067
7,770
304
44
11. Fabricated metal products
Total
5+6
27A
37
39
40
42
46
73B
6,285
446
795
13
21
2,811
1,931
4
264
696
21
0
0
1
296
378
0
0
148
23
0
0
1
20
106
0
0
7,129
489
795
13
23
3,127
2,414
4
264
1,063
1,063
0
20. Aircraft
Total
22+23 ....
60
62
81
9,144
179
8,843
876
-754
11
2
7
2
0
21. Ships and boats
Total
61
81
1,657
1,301
356
2
2
0
165
153
13
1,824
1,456
369
20
7
0
13
Total
43
73B
81
1,811
2,302
64
-556
27
27
0
0
171
171
0
0
2,009
2,500
64
-556
Total
61
73B
81
13,442
12,651
228
558
4
168
165
3
0
0
2,137
1,977
46
0
114
15,747
14,793
278
558
118
14. Special industry machinery, n.e.c.
Total
32
42
48
49
16,182
78
14
14,615
821
187
3
iB
6
2,683
18
11
2,463
30
Total
22+23 ....
73B
81
NOTE.—The identifying numbers for the producers' durable equipment
15,756
15,109
664
-16
125
125
0
0
44+45 ....
81
3,913
3,925
-12
99
99
0
Total
17
20+21 ....
32
44+45 ....
61
64
73B
81
2,701
2,631
0
69
18,582
17,865
664
53
2,400
2,347
52
6,411
6,371
41
7,302
252
441
549
113
5,679
270
-2
8,163
1,087
5
62
2,167
598
3,876
445
77
353
24
n
1
32
40
255
0
0
3,529
442
1
10
1,808
217
1,052
0
0
12,044
1,554
6
73
4,007
855
5,183
445
-77
-2,520
-2,520
0
0
0
0
2,520
-2,520
1,966
521
9
8
1,409
19
5,864
1,832
33. Residential (landlord durables)
Total
17
22+23 ....
32
54
56
3,807
1,282
179
15
2,266
65
92
29
1
n
61
n
• on
4
23
3,736
85
Producers' durable equipment
Total
categories are those used in table 5.8 in the National Income and Product
Accounts of the United States, Volume 2, 1959-88.
958
42
40
110
16
750
0
0
32. Sale of equipment scrap, excluding autos
Total
81
25. Tractors
Total
19,052
99
26
17,257
856
'Less than $600,000.
31
31
0
0
24. Furniture and fixtures
13. Metalworking machinery
Total
47
48
73B
81
1,311
1,285
33
-7
51
3
11
4
5
28
0
0
31. Other nonresidentiai equipment
1,361
1,322
33
6
22. Railroad equipment
12. Engines and turbines
6,294
208
391
435
91
4,901
270
-2
Total
48
54
55
58
62
73B
81
278,028
4,144
47,598
329,771
90
SURVEY OF CURRENT BUSINESS
• April 1994
Text continues from page 83.
cost of goods sold plus the taxes collected—if
any—by retail trade establishments.
Retail trade margins also apply to some purchases of goods by other final users; for example,
retail trade margins apply to some purchases of
personal computers by business and are included
in gross private fixed investment. All retail trade
margins are included in the retail trade row (row
69B) of the use table.
Imports of goods and services, a component of
final uses, are treated in one of two ways, depending on whether or not they are comparable
to U.S. commercially produced goods and services. Those that are comparable are included
in the use table along with the distribution of
the output of their domestic counterparts. The
U.S. domestic port values of imported commodities are shown as negative entries in the imports
of goods and services column of final use (column 95), so that the row total for a commodity
equals the domestic output of that commodity. Other imported goods and services—those
not comparable to U.S. commercially produced
goods and services, and those purchased and used
abroad by U.S. residents—are shown in the use
table row for noncomparable imports (row 80).
Examples of noncomparable imports are coffee
beans and parakeets; an example of goods purchased and used abroad by U.S. residents is food
purchased by U.S. military personnel stationed
abroad. The total value of all noncomparable imports is shown as a single negative entry in the
imports of goods and services column (column
95).
Imports of goods by commodity (the entries in
column 95) are valued at U.S. domestic port values plus duties. Imports of services are valued at
producers' values. The entries for transportation
imports and for trade imports include adjustments that convert the total of all commodity
imports of goods and services to a foreign port
value equivalent. This adjustment is made for
conceptual consistency between the 1-0 accounts
and the NIPA'S and the balance of payments
accounts.
Exports of goods and services—both by com-
modity and as a total—are valued in U.S. producers' prices, which are considered to be equivalent
to U.S. domestic port values. Exports are also a
component of final uses.
Inventory change, another component of final
uses, represents the change in inventory of each
commodity, wherever held, over the benchmark
year. It is stated at book value—that is, at its
Data Availability
The estimates from the 1987 benchmark 1-0 accounts
are available on diskette at two-digit (95 1-0 industries) and six-digit (480 1-0 industries) levels. They
can be ordered for "transactions," for "total requirements," or for "all." "Transactions" includes the six-digit
make table, use table, direct requirements coefficients
table, and estimates by commodity of transportation
costs and of wholesale and retail trade margins. "Total
requirements" includes six-digit industry-by-commodity
or commodity-by-commodity coefficients.
Products
specifying "all" contain all above data, but for the twodigit 1-0 industry level only. Each product includes
information on the mathematical derivation of the coefficients tables. The BEA accession numbers and the prices
for these products are listed below.
For further information about 1-0 products or when
ordering by MasterCard or Visa, call the Interindustry
Economics Division at (202) 606-5585. To order by mail,
write to the Public Information Office, Order Desk, BE53, Bureau of Economic Analysis, U.S. Department of
Commerce, Washington, DC 20230. Specify the item,
accession number, and price of the product(s) being ordered. For foreign shipment, add 25 percent to the total
amount of the order. A check or money order payable
to "Bureau of Economic Analysis" must accompany all
written orders. Be sure to include a return address.
Item
BEA accession Price
number
Diskettes (3 1/2 inch HD)
1987 benchmark six-digit, transactions
51-94-40-001
(two diskettes)
1987 benchmark six-digit,
industry-by-commodity total
51-94-40-002
requirements (two diskettes)
1987 benchmark six-digit,
commodity-by-commodity total
requirements (two diskettes)
51-94-40-003
1987 benchmark two-digit, all
51-94-40-004
1987 benchmark commodity
composition of NIPA final demand... 51-94-40-005
1987 benchmark personal consumption
expenditures and producers'
durable equipment by NIPA
category
51-94-40-006
$40
40
40
20
20
20
BEA'S 1987 benchmark 1-0 accounts, at both the twodigit and six-digit levels, will also be available on CD-ROM
through the Commerce Department's National Economic, Social, and Environmental Data Bank (NESE-DB)
CD-ROM. The NESE-DB is produced quarterly in February,
May, August, and November. Call the Office of Business
Analysis at (202) 482-1986 for more information or to
place an order. The NESE-DB is also available for public
use at over 900 Federal Depository Libraries.
SURVEY OF CURRENT BUSINESS
original cost—in the use table. The inventory
valuation adjustment, which converts inventory
change from book value to replacement cost,
is shown as a single entry for the total of all
commodities (row 85, column 93).
Supplementary tables
Four supplementary tables, which can be used
with the five basic sets of 1-0 tables, are provided
with this article. Three tables (tables C-E) cover
the 1-0 commodity composition of NIPA final
demand, of NIPA personal consumption expenditures, and of NIPA producers' durable equipment;
a fourth table (table F) reconciles 1-0 exports of
goods and services and imports of goods and
services with NIPA estimates.
The commodity composition tables are necessary as bridges between the 1-0 accounts and the
NIPA'S because the two sets of accounts are based
on different valuations and definitions. In the
1-0 accounts, final use categories are expressed in
producers' prices; in the NIPA'S, final demand categories are expressed in purchasers' prices. Also,
the definitions of 1-0 final use categories differ
from those of the NIPA final demand categories.
Before the 1-0 total requirements tables can be
used to measure and analyze the changes in commodity or industry output requirements arising
from changes in the level or composition of NIPA
final demand, NIPA final demand categories must
be converted to equivalent 1-0 final use categories. That is to say, the analysis should be
consistent with 1-0 final use commodities that
are valued at producers' prices for the 1-0 year,
with separate entries for transportation costs and
trade margins.
Table C shows the 1-0 commodity composition
in 1987 of each NIPA category of final demand
Table F.—Relation of Exports and Imports in the InputOutput Accounts to the National Income and Product
Accounts, 1987 Benchmark
[Millions of dollars]
1987
Exports of goods and services, NIPA
Less: U.S. merchandise returned
Reexports
Plus: Statistical revisions, BPA
Equals: Exports of goods and services, I-O
363,952
6,781
8,875
276
348,572
Imports of goods and services, NIPA
Less: U.S. merchandise returned
Reexports
Plus: Statistical revisions, BPA
Equals: Imports of goods and services, I-O
507,050
6,781
8,875
-952
490,442
NIPA National income and product accounts
BPA Balance of payments accounts
I-O Input-output accounts
in producers' and purchasers' prices. It provides
a bridge between 1-0 commodities in producers5 prices and NIPA final demand categories in
purchasers3 prices. For each 1-0 commodity
within a category of NIPA final demand, the table
shows the transportation costs and trade margins
included in the purchasers' prices.
Table D shows the 1-0 commodity composition in 1987 of each NIPA category of personal
consumption expenditures (NIPA table 2.4) in
producers' and purchasers' prices. It provides
a bridge between 1-0 commodities in producers'
prices and NIPA personal consumption categories
in purchasers' prices. For each 1-0 commodity
within a NIPA category, the table shows the transportation costs and trade margins included in the
purchasers' prices.
Table E shows the 1-0 commodity composition in 1987 of each NIPA category of producers'
durable equipment purchases (NIPA table 5.8) in
producers' and purchasers' prices. It provides
a bridge between 1-0 commodities in producers'
prices and NIPA producers' durable equipment
categories in purchasers' prices. For each commodity, the table shows the transportation costs
and trade margins included in the purchasers'
prices. This table is useful for analyses relating
the effects of changes in investment on industry
and commodity output.
Table F reconciles the 1-0 estimates of exports and imports of goods and services with
those in the NIPA'S. The same adjustments are
made for both exports and imports; therefore,
there is no net effect on total GDP. The adjustments are necessary because the NIPA'S—unlike
the 1-0 accounts—include in imports the U.S.
merchandise that is returned to the United States
from other countries and in exports the foreign merchandise that is reexported from the
United States to other countries.21 The NIPA'S also
exclude definitional and statistical revisions to
the balance of payments accounts between NIPA
comprehensive revisions.
Appendixes A and B and tables 1 and 2
follow. H
21. U.S. merchandise returned consists of domestically produced goods
that were previously exported to other countries for processing or assembly,
or both, and then returned to the United States. An example would be
articles of metal that are manufactured in the United States, then exported
for further processing abroad, and then returned to the United States for
more processing. Reexports consists of commodities of foreign origin that
were previously imported into the United States and then exported from the
United States in substantially the same condition as when imported. An
example would be imported foreign-made monitors that are purchased by
U.S. personal computer manufacturers, joined with U.S.-made consoles, and
then exported to a third foreign country.
April 1994
•
91
92 • April 1994
SURVEY OF CURRENT BUSINESS
Appendix A.—Chronological List of Selected SURVEY OF CURRENT BUSINESS
Input-Output Articles
1. Morris R. Goldman, Martin L. Marimont,
and Beatrice N, Vaccara, "The Interindustry Structure of the United States: A Report
on the 1958 Input-Output Study," November
1964.
2. "Industrial Impact of the 1966 Housing and
Commercial Building Decline," November
1966.
3. "Input-Output Structure of the U.S. Economy: 1963," November 1969.
4. Allan H. Young and Claiborne M. Ball,
"Industrial Impacts of Residential Construction and Mobile Home Production," October
1970.
5. Beatrice N. Vaccara, "An Input-Output
Method for Long-Range Economic Projections," July 1971, Part I.
6. Philip M. Ritz and Eugene P. Roberts,
"Industry Inventory Requirements:
An
Input-Output Analysis," November 1973.
7. "The Input-Output Structure of the U.S.
Economy: 1967," February 1974.
8. Irving Stern, "Industry Effects of Government Expenditures: An Input-Output
Analysis," May 1975.
9. Philip M. Ritz, "The Input-Output Structure
of the U.S. Economy, 1972," February 1979.
10. Philip M. Ritz, Eugene P. Roberts, and Paula
C. Young, "Dollar-Value Tables for the 1972
Input-Output Study," April 1979.
11. "The Input-Output Structure of the U.S.
Economy, 1977," May 1984.
12. "Benchmark Input-Output Accounts for the
U.S. Economy, 1982," July 1991.
13. "Annual Input-Output Accounts of the U.S.
Economy, 1987," April 1992.
SURVEY OF CURRENT BUSINESS
April 1994 •
93
Appendix B.—Industry Classification of the 1987 Benchmark Input-Output Accounts
[The titles in boldface represent the industries used for the summary version of the 1987 tables. An asterisk preceding an sic code
indicates that the sic industry is included in more than one 1-0 industry. For a description of the systems used in the 1-0 accounts,
see the section "Definitions and conventions for classification."]
1-0 industry number and title
Related 1987 SIC
codes
AGRICULTURE, FORESTRY, AND FISHERIES
1
Livestock and livestock products:
1.0100 Dairy farm products
1.0200 Poultry and eggs
1.0301
2
Meat animals
1.0302
Miscellaneous livestock
I-O industry number and title
14
024,*019, *0259, *029
0251-3, *0259, *019,
*0219, *029
0211-4, *0219, *019,
*0259, *029
0271-3, *0279, *019,
*0219, *0259, *029
Other agricultural products:
2.0100
2.0201
Food grains
2.0202
Feed grains
2.0203
Grass seeds
2.0300
Tobacco
2.0401
0131, *019, *0219,
*0259, *029
*011, *019, *0219,
*0259, *029
*011,*0139, *019,
Cotton
Fruits
2.0402
Vegetables
2.0502
*0259, *029
0132, *019, *0219,
*0259, *029
0171-2,0174-5,
*0179, *019, *0219,
*0259, *029
0173, *0179, *019,
*0219, *0259, *029
0134, *0139, 016,
Tree nuts
2.0501
*0219, *0259, *029
*0139, *019, *0219,
Sugar crops
•019, *0219, *0259,
2.0503
Miscellaneous crops
2.0600
Oil bearing crops
2.0701
3
4
Forest products
2.0702
Greenhouse and nursery products
Forestry and fishery products:
3.0001 Forestry products
,
3.0002 Commercial fishing
Agricultural, forestry, and fishery services:
4.0001 Agricultural, forestry, and fishery services
4.0002
Landscape and horticultural services
*029, *0119
0133, *019, *0219,
*0259, *029
*0119, '0139/019,
•0219, *0259, *029
0116, *0119, *0139,
*0219, *0259, *029
*018, *019, *0219,
*0259, *029
*018, *019, *0219,
*0259, *029
081,083,097
091
0254, *0279, 071-2,
075-6, 085, 092
078
15
MINING
5+6
7
Metallic
5.0000
6.0100
6.0200
ores mining:
Iron and ferroalloy ores
Copper ore
Nonferrous metal ores, except copper
101, 106
102
103-4, 109, *108
16
Coal mining:
7.0000
122-3, *124
Coal
8
Crude petroleum and natural gas:
8.0000 Crude petroleum and natural gas
Nonmetallic minerals mining:
9.0001 Dimension, crushed and broken stone
9.0002 Sand and gravel
9.0003 Clay, ceramic, and refractory minerals
9.0004 Nonmetallic mineral services and miscellaneous minerals
10.0000 Chemical and fertilizer minerals
141-2
144
145
•148, 149
147
Tobacco
15.0101
15.0102
15.0103
15.0200
products:
Cigarettes
Cigars
Chewing and smoking tobacco and snuff
Tobacco stemming and redrying
Broad and narrow fabrics, yarn and thread mills:
16.0100 Broadwoven fabric mills and fabric finishing plants
16.0200 Narrow fabric mills
16.0300 Yarn milis and finishing of textiles, n.e.c
16.0400 Thread mills
2011
2013
2015
2021
2022
2023
2024
2026
2091
2032
2033
2034
2035
2092
2037
2038
2041
2043
2045
2047
2048
2044
2046
2051, *546
2052
2053
2061-3
2064
2066
2067
2068
2082
2083
2084
2085
2086
2087
2074
2075
2076
2077
2095
2079
2097
2098
2096
2099
211
212
213
214
221-3, 2261-2
224
2269, 2281-2
2284
131-2, *138
9+10
Food and kindred products:
14.0101 Meat packing plants
14.0102 Sausages and other prepared meat products
14.0105 Poultry slaughtering and processing
14.0200 Creamery butter
14.0300 Natural, processed, and imitation cheese
14.0400 Dry, condensed, and evaporated dairy products
14.0500 Ice cream and frozen desserts
14.0600 Fluid milk
14.0700 Canned and cured fish and seafoods
14.0800 Canned specialties
14.0900 Canned fruits, vegetables, preserves, jams, and jellies
14.1000 Dehydrated fruits, vegetables, and soups
14.1100 Pickles, sauces, and salad dressings
14.1200 Prepared fresh or frozen fish and seafoods
14.1301 Frozen fruits, fruit juices, and vegetables
14.1302 Frozen specialties, n.e.c
14.1401 Flour and other grain mil! products
14.1402 Cereal breakfast foods
,
14.1403 Prepared flour mixes and doughs
14.1501 Dog and cat food
14.1502 Prepared feeds, n.e.c
14.1600 Rice milling
.,
14.1700 Wet corn milling
14.1801 Bread, cake, and related products
14.1802 Cookies and crackers
14.1803 Frozen bakery products, except bread
14.1900 Sugar
14.2001 Candy and other confectionery products
14.2002 Chocolate and cocoa products
14.2003 Chewing gum
14.2004 Salted and roasted nuts and seeds
14.2101 Malt beverages
14.2102 Malt
14.2103 Wines, brandy, and brandy spirits
14.2104 Distilled and blended liquors
14.2200 Bottled and canned soft drinks
14.2300 Flavoring extracts and flavoring syrups, n.e.c
14.2400 Cottonseed oil mills
14.2500 Soybean oil mills
14.2600 Vegetable oil mills, n.e.c
14.2700 Animal and marine fats and oils
14.2800 Roasted coffee „
14.2900 Edible fats and oils, n.e.c
14.3000 Manufactured ice
14.3100 Macaroni, spaghetti, vermicelli, and noodles
14.3201 Potato chips and similar snacks
14.3202 Food preparations, n.e.c
Related 1987 SIC
codes
17
CONSTRUCTION
11+12
Construction:
11.0000 New and maintenance and repair
11.0601 Petroleum and natural gas well drilling
11.0602 Petroleum, natural gas, and solid mineral exploration ....
11.0603 Access structures for solid mineral development
12.0215 Maintenance and repair of petroleum and natural gas
wells,
18
15-17, 6552
*138
•138, *108, *124, *148
•108, *124, *148
*138
19
MANUFACTURING
13
Ordnance and accessories:
13.0100 Guided missiles and space vehicles
13.0200 Ammunition, except for small arms, n.e.c,
13.0300 Tanks and tank components
13.0500 Small arms
13.0600 Small arms ammunition
13.0700 Ordnance and accessories, n.e.c
3761
3483
3795
3484
3482
3489
Miscellaneous textile goods and floor coverings:
17.0100 Carpets and rugs
17.0600 Coated fabrics, not rubberized
17.0700 Tire cord and fabrics
17.0900 Cordage and twine
17.1001 Nonwoven fabrics
17.1100 Textile goods, n.e.c
Apparel:
18.0101
18.0102
18.0201
18.0202
18.0203
18.0300
18.0400
Women's hosiery, except socks
Hosiery, n.e.c
Knit outerwear mills
Knit underwear and nightwear mills
Knitting mills, n.e.c.
Knit fabric mills
Apparel made from purchased materials
Miscellaneous fabricated textile products:
19.0100 Curtains and draperies
19.0200 Housefumishings, n.e.c
19.0301 Textile bags
19.0302 Canvas and related products
19.0303 Pleating and stitching
19.0304 Automotive and apparel trimmings
19.0305 Schiffli machine embroideries
19.0306 Fabricated textile products, n.e.c
227
2295
2296
2298
2297
2299
2251
2252
2253
2254
2259
2257-8
231-8, *3999
2391
2392
2393
2394
2395
2396
2397
2399
94
SURVEY OF CURRENT BUSINESS
• April 1994
Appendix B.—Industry Classification of the 1987 Benchmark Input-Output Accounts—Continued
1-0 industry number and title
20+21
22+23
24
Lumber and wood products:
20.0100 Logging
20.0200 Sawmills and planing mills, general
20.0300 Hardwood dimension and flooring mills
20.0400 Special product sawmills, n.e.c
20.0501 Millwork
20.0502 Wood kitchen cabinets
20.0600 Veneer and plywood
20.0701 Structural wood members, n.e.c
20.0702 Prefabricated wood buildings and components
20.0703 Mobile homes
20.0800 Wood preserving
20.0901 Wood pallets and skids
20.0903 Wood products, n.e.c
20.0904 Reconstituted wood products
21.0000 Wood containers, n.e.c
Furniture
22.0101
22.0102
22.0103
22.0200
22.0300
22.0400
23.0100
23.0200
23.0300
23.0400
23.0500
23.0600
23.0700
and fixtures:
Wood household furniture, except upholstered
Household furniture, n.e.c
Wood television and radio cabinets
Upholstered household furniture
Metal household furniture
Mattresses and bedsprings
Wood office furniture
Office furniture, except wood
Public building and related furniture
Wood partitions and fixtures
Partitions and fixtures, except wood
Drapery hardware and window blinds and shades
Furniture and fixtures, n.e.c
Paper and allied products, except containers:
24.0100 Pulp mills
24.0400 Envelopes
24.0500 Sanitary paper products
24.0701 Paper coating and glazing
24.0702 Bags, except textile
24.0703 Die-cut paper and paperboard and cardboard
24.0705 Stationery, tablets, and related products
24.0706 Converted paper products, n.e.c
24.0800 Paper and paperboard mills
Related 1987 SIC
codes
I-O industry number and title
31
241
2421
2426
2429
2431
2434
2435-6
2439
2452
32
2451
2491
2448
2499
2493
2441,2449
33+34
2511
2519
2517
2512
2514
2515
2521
2522
253
2541
2542
35
2591
36
2599
261
2677
2676
2671-2
2673-4
2675
2678
2679
262-3
25
Paperboard containers and boxes:
25.0000 Paperboard containers and boxes
265
26A
Newspapers and periodicals:
26.0100 Newspapers
26.0200 Periodicals
271
272
26B
27A
Other printing and publishing:
26.0301 Book publishing
26.0302 Book printing
26.0400 Miscellaneous publishing
26.0501 Commercial printing
26.0601 Manifold business forms
26.0602 Bankbooks, looseleaf binders and devices
26.0700 Greeting cards
26.0802 Bookbinding and related work
26.0803 Typesetting
26.0806 Platemaking and related services
Industrial and other chemicals:
27.0100 Industrial inorganic and organic chemicals
27.0401
27.0402
27.0403
27.0404
27.0405
27.0406
27B
28
Gum and wood chemicals
Adhesives and sealants
Explosives
Printing ink
Carbon black
Chemicals and chemical preparations, n.e.c
2731
2732
274
275
276
2782
277
2789
2791
37
2796
281 (excl. *2819),
2865, 2869
2861
2891
2892
2893
2895
2899
Agricultural fertilizers and chemicals:
27.0201 Nitrogenous and phosphatic fertilizers
27.0202 Fertilizers, mixing only
27.0300 Pesticides and agricultural chemicals, n.e.c
2873-4
2875
2879
Plastics and synthetic materials:
28.0100 Plastics materials and resins
28.0200 Synthetic rubber
28.0300 Cellulosic manmade fibers
28.0400 Manmade organic fibers, except cellulosic
2821
2822
2823
2824
38
39
40
29A
29B
30
Drugs:
29.0100
Drugs
283
Cleaning
29.0201
29.0202
29.0203
29.0300
and toilet preparations:
Soap and other detergents
Polishes and sanitation goods
Surface active agents
Toilet preparations
2841
2842
2843
2844
Paints and allied products:
30.0000 Paints and allied products
285
Petroleum refining and related products:
31.0101 Petroleum refining
31.0102 Lubricating oils and greases
31.0103 Products of petroleum and coal, n.e.c.
31.0200 Asphalt paving mixtures and blocks ....
31.0300 Asphalt felts and coatings
Rubber and miscellaneous plastics products:
32.0100 Tires and inner tubes
32.0200 Rubber and plastics footwear
32.0300 Fabricated rubber products, n.e.c
32.0400 Miscellaneous plastics products, n.e.c..
32.0500 Rubber and plastics hose and belting ..
32.0600 Gaskets, packing, and sealing devices
Footwear, leather, and leather products:
33.0001 Leather tanning and finishing
34.0100 Boot and shoe cut stock and findings ..
34.0201 Shoes, except rubber
34.0202 House slippers
34.0301 Leather gloves and mittens
34.0302 Luggage
34.0303 Women's handbags and purses
34.0304 Personal leather goods, n.e.c
34.0305 Leather goods, n.e.c
Glass and glass products:
35.0100 Glass and glass products, except containers .
35.0200 Glass containers
Stone and clay products:
36.0100 Cement, hydraulic
36.0200 Brick and structural clay tile
36.0300 Ceramic wall and floor tile
36.0400 Clay refractories
36.0500 Structural clay products, n.e.c
36.0600 Vitreous china plumbing fixtures
36.0701 Vitreous china table and kitchenware
36.0702 Fine earthenware table and kitchenware
36.0800 Porcelain electrical supplies
36.0900 Pottery products, n.e.c
36.1000 Concrete block and brick
36.1100 Concrete products, except block and brick
36.1200 Ready-mixed concrete
36.1300 Lime
36.1400 Gypsum products
36.1500 Cut stone and stone products
36.1600 Abrasive products
36.1700 Asbestos products
36.1900 Minerals, ground or treated
36.2000 Mineral wool
36.2100 Nonclay refractories
36.2200 Nonmetallic mineral products, n.e.c
Primary iron and steel manufacturing:
37.0101 Blast furnaces and steel mills
37.0102 Electrometallurgies products, except steel
37.0103 Steel wiredrawing and steel nails and spikes
37.0104 Cold-rolled steel sheet, strip, and bars
37.0105 Steel pipe and tubes
37.0200 Iron and steel foundries
37.0300 Iron and steel forgings
37.0401 Metal heat treating
37.0402 Primary metal products, n.e.c
Primary nonferrous metals manufacturing:
38.0100 Primary smelting and refining of copper....
38.0400 Primary aluminum
38.0501 Primary nonferrous metals, n.e.c
38.0600 Secondary nonferrous metals
38.0700 Rolling, drawing, and extruding of copper.
38.0800 Aluminum rolling and drawing
38.0900 Nonferrous rollina and drawing, n.e.c
38.1000 Nonferrous wiredrawing and insulating
38.1100 Aluminum castings
38.1200 Copper foundries
38.1300 Nonferrous castings, n.e.c
38.1400 Nonferrous forgings
Metal containers:
39.0100 Metal cans
39.0200 Metal shipping barrels, drums, kegs, and pails
Heating, plumbing, and fabricated structural metal products:
40.0100 Enameled iron and metal sanitary ware
40.0200 Plumbing fixture fittings and trim
40.0300 Heating equipment, except electric and warm air
furnaces.
40.0400 Fabricated structural metal
40.0500 Metal doors, sash, frames, molding, and trim
40.0600 Fabricated plate work (boiler shops)
40.0700 Sheet metal work
40.0800 Architectural and ornamental metal work
40.0901 Prefabricated metal buildings and components
40.0902 Miscellaneous structural metal work
Related 1987 SIC
codes
291
2992
2999
2951
2952
301
302
306
308
3052
3053
311
313
3143-4, 3149
3142
315
316
3171
3172
319
321, 3229, 323
3221
324
3251
3253
3255
3259
3261
3262
3263
3264
3269
3271
3272
3273
3274
3275
328
3291
3292
3295
3296
3297
3299
3312
3313
3315
3316
3317
332
3462
3398
3399
3331
3334, *2819
3339
334
3351
3353-5
3356
3357
3363, 3365
3366
3364, 3369
3463
3411
3412
3431
3432
3433
3441
3442
3443
3444
3446
3448
3449
SURVEY OF CURRENT BUSINESS
April 1994
•
95
Appendix B.—Industry Classification of the 1987 Benchmark Input-Output Accounts—Continued
1-0 industry number and title
41
42
43
44+45
46
47
48
49
50
51
52
53
54
Screw machine products and stampings:
41.0100 Screw machine products, bolts, etc
41.0201 Automotive stampings
41.0202 Crowns and closures
41.0203 Metal stampings, n.e.c
Related 1987 SIC
codes
3451-2
3465
3466
3469
I-O industry number and title
54.0400
54.0500
54.0700
55
3425
3429
3471
3479
3495-6
3493
3491-2, 3494, 3498
3497
3499
Engines and turbines:
43.0100 Turbines and turbine generator sets
43.0200 Internal combustion engines, n.e.c
Farm, construction, and mining machinery:
44.0001 Farm machinery and equipment
44.0002 Lawn and garden equipment
45.0100 Construction machinery and equipment
45.0200 Mining machinery, except oil field
45.0300 Oil and gas field machinery and equipment
3523
3524
3531
3532
3533
Materials
46.0100
46.0200
46.0300
46.0400
3534
3535
3536
3537
Electric lighting and wiring equipment:
55.0100 Electric lamp bulbs and tubes
55.0200 Lighting fixtures and equipment
55.0300 Wiring devices
3641
3645-8
3643-4
Audio, video, and communication equipment:
56.0100 Household audio and video equipment
56.0200 Prerecorded records and tapes
56.0300 Telephone and telegraph apparatus
56.0500 Communication equipment
3651
3652
3661
3663, 3C
57
Electronic components and accessories:
57.0100 Electron tubes
57.0200 Semiconductors and related devices
57.0300 Other electronic components
3671
3674
3672, 3675-9
Miscellaneous electrical machinery and supplies:
58.0100 Storage batteries
58.0200 Primary batteries, dry and wet
58.0400 Electrical equipment for internal combustion engines
58.0600 Magnetic and optical recording media
58.0700 Electrical machinery, equipment, and supplies, n.e.c
3691
3692
3694
3695
3511
3519
3421
3423
Metalworking machinery and equipment:
47.0100 Machine tools, metal cutting types
47.0200 Machine tools, metal forming types
47.0300 Special dies and tools and machine tool accessories ....
47.0401 Power-driven handtools
47.0402 Rolling mill machinery and equipment
47.0404 Electric and gas welding and soldering equipment
47.0405 Industrial patterns
47.0500 Metalworking machinery, n.e.c
Special industry machinery and equipment:
48.0100 Food products machinery
48.0200 Textile machinery
48.0300 Woodworking machinery
48.0400 Paper industries machinery
48.0500 Printing trades machinery and equipment
48.0600 Special industry machinery, n.e.c
3556
3552
3553
3554
3555
3559
General industrial machinery and equipment:
49.0100 Pumps and compressors
49.0200 Ball and roller bearings
49.0300 Blowers and fans
49.0500 Mechanical power transmission equipment
49.0600 Industrial process furnaces and ovens
49.0700 General industrial machinery and equipment, n.e.c
49.0800 Packaging machinery
3561,3563
3562
3564
3566, 3568
3567
3569
3565
56
59A
Motor vehicles (passenger cars and trucks):
59.0301 Motor vehicles and passenger car bodies
3711
59B
Truck and bus bodies, trailers, and motor vehicles parts:
59.0100 Truck and bus bodies
59.0200 Truck trailers
59.0302 Motor vehicle parts and accessories
3713
3715
3714
Aircraft and parts:
60.0100 Aircraft
60.0200 Aircraft and missile engines and engine parts
60.0400 Aircraft and missile equipment, n.e.c
3721
3724, 3764
3728, 3769
Other transportation equipment:
61.0100 Ship building and repairing
61.0200 Boat building and repairing
61.0300 Railroad equipment
61.0500 Motorcycles, bicycles, and parts
61.0601 Travel trailers and campers
61.0603 Motor homes
61.0700 Transportation equipment, n.e.c
3731
3732
374
375
3792
3716
3799
Scientific
62.0101
62.0102
62.0200
62.0300
62.0400
62.0500
62.0600
62.0700
62.0800
62.0900
62.1000
62.1100
381
3821
3823-4, 3829
3822
3841
3842
3843
387
3844
3845
3826-7
3825
60
3541
3542
3544-5
3546
3547
3548
3543
3549
Miscellaneous machinery, except electrical:
50.0100 Carburetors, pistons, rings, and valves
50.0200 Fluid power equipment
50.0300 Scales and balances, except laboratory
50.0400 Industrial and commercial machinery and equipment,
n.e.c.
3592
3593-4
3596
3599
Computer and office equipment:
51.0102 Calculating and accounting machines
51.0103 Electronic computers
51.0104 Computer peripheral equipment
51.0400 Office machines, n.e.c
Service industry machinery:
52.0100 Automatic vending machines
52.0200 Commercial laundry equipment
52.0300 Refrigeration and heating equipment
52.0400 Measuring and dispensing pumps
52.0500 Service industry machinery, n.e.c
3612
3613
3621
3625
3624
3629
63
64
3581
3582
3585
3586
3589
Electrical
53.0200
53.0300
53.0400
53.0500
53.0700
53.0800
62
3578
3571
3572, 3575, 3577
3579
industrial equipment and apparatus:
Power, distribution, and specialty transformers
Switchgear and switchboard apparatus
Motors and generators
Relays and industrial controls
Carbon and graphite products
Electrical industrial apparatus, n.e.c
3631
3632
3633
and controlling instruments:
Search and navigation equipment
Laboratory apparatus and furniture
Mechanical measuring devices
Environmental controls
Surgical and medical instruments and apparatus
Surgical appliances and supplies
Dental equipment and supplies
Watches, clocks, watchcases, and parts
X-ray apparatus and tubes
Electromedical and electrotherapeutic apparatus
Laboratory and optical instruments
Instruments to measure electricity
Ophthalmic and photographic equipment:
63.0200 Ophthalmic goods
63.0300 Photographic equipment and supplies
Miscellaneous manufacturing:
64.0101 Jewelry, precious metal
64.0102 Jewelers' materials and lapidary work
64.0104 Silverware and plated ware
64.0105 Costume jewelry
64.0200 Musical instruments
64.0301 Games, toys, and children's vehicles
64.0302 Dolls and stuffed toys
64.0400 Sporting and athletic goods, n.e.c
64.0501 Pens, mechanical pencils, and parts
64.0502 Lead pencils and art goods
64.0503 Marking devices
64.0504 Carbon paper and inked ribbons
64.0700 Fasteners, buttons, needles, and pins
64.0800 Brooms and brushes
64.0900 Hard surface floor coverings, n.e.c
64.1000 Burial caskets
64.1100 Signs and advertising specialties
64.1200 Manufacturing industries, n.e.c.
385
386
3911
3915
3914
3961
393
3944
3942
3949
3951
3952
3953
3955
3965
3991
3996
3995
3993
TRANSPORTATION, COMMUNICATIONS, AND UTILITIES
6A
5
Household appliances:
54.0100 Household cooking equipment
54.0200 Household refrigerators and freezers
54.0300 Household laundry equipment
3634
3635
3639
58
Other fabricated metal products:
42.0100 Cutlery
42.0201 Hand and edge tools, except machine tools and
handsaws.
42.0202 Saw blades and handsaws
42.0300 Hardware, n.e.c
42.0401 Plating and polishing
42.0402 Coating.engraving, and allied services, n.e.c
42.0500 Miscellaneous fabricated wire products
42.0700 Steel springs, except wire
42.0800 Pipe, valves, and pipe fittings
42.1000 Metal foil and leaf
42.1100 Fabricated metal products, n.e.c
handling machinery and equipment:
Elevators and moving stairways
Conveyors and conveying equipment
Hoists, cranes, and monorails
Industrial trucks and tractors
Electric housewares and fans
Household vacuum cleaners
Household appliances, n.e.c
Related 1987 SIC
codes
65B
Railroads and related services; passenger ground
transportation:
65.0100 Railroads and related services
65.0200 Local and suburban transit and interurban highway
passenger transportation.
Motor freight transportation and warehousing:
65.0300 Motor freight transportation and warehousing
40, 474, M789
41
42, M789
$6 • April 1994
SURVEY OF CURRENT BUSINESS
Appendix B.—Industry Classification of the 1987 Benchmark Input-Output Accounts—Continued
1-0 industry number and title
65C
Water transportation:
65.0400 Water transportation
65D
Air transportation:
65.0500 Air transportation
65E
Pipelines, freight forwarders, and related services:
65.0600 Pipelines, except natural gas
65.0701 Freight forwarders and other transportation services
Related 1987 SIC
codes
I-O industry number and title
75
Arrangement of passenger transportation
46
473, 4783, 4785,
•4789
472
66
Communications, except radio and TV:
66.0000 Communications, except radio and TV
481-2, 484, 489
67
Radio and TV broadcasting:
67.0000 Radio and TV broadcasting
483
68A
Electric services (utilities):
68.0100 Electric services (utilities)
491, *493
68B
Gas production and distribution (utilities):
68.0200 Gas production and distribution (utilities)
492, *493
68C
Water and sanitary services:
68.0301 Water supply and sewerage systems
68.0302 Sanitary services, steam supply, and irrigation systems
494, 4952
4953, 4959, 496-7,
•493
77A
77B
WHOLESALE AND RETAIL TRADE
Wholesale trade:
69.0100 Wholesale trade
50,51
Retail trade:
69.0200 Retail trade, except eating and drinking .
52-7 (excl. *546), 59,
7389, 8042
Amusements:
76.0101 Motion picture services and theaters
76.0102 Videotape rental
76.0201 Theatrical producers (except motion picture), bands,
orchestras and entertainers.
76.0202 Bowling centers
76.0203 Professional sports clubs and promoters
76.0204 Racing, including track operation
76.0205 Physical fitness facilities and membership sports and
recreation clubs.
76.0206 Other amusement and recreation services
Health services:
77.0100 Doctors and dentists
77.0200 Hospitals
77.0301 Nursing and personal care facilities
77.0302 Other medical and health services, including
veterinarians.
Educational and social services, and membership
organizations:
77.0401 Elementary and secondary schools
77.0402 Colleges, universities, and professional schools
77.0403 Private libraries, vocational schools, and educational
services, n.e.c.
77.0501 Business associations and professional membership
organizations.
77.0502 Labor organizations, civic, social, and fraternal
associations.
77.0503 Religious organizations
77.0504 Other membership organizations
FINANCE, INSURANCE, AND REAL ESTATE
70A
70B
Finance:
70.0100 Banking
70.0200 Credit agencies other than banks
70.0300 Security and commodity brokers
77.0600
77.0700
77.0800
77.0900
60
61, 67 (excl. 6732)
62
Insurance:
70.0400 Insurance carriers
70.0500 Insurance agents, brokers, and services
Job training and related services
Child day care services
Residential care
Social services, n.e.c
GOVERNMENT ENTERPRISES
Real estate and royalties:
71.0201 Real estate agents, managers, operators, and lessors
71.0202 Royalties
Federal Government enterprises:
78.0100 U.S. Postal Service
78.0200 Federal electric utilities
78.0500 Other Federal Government enterprises
State and local government enterprises:
79.0100 State and local government passenger transit
79.0200 State and Ixal government electric utilities
79.0300 Other State and local government enterprises
Owner-occupied dwellings:
71.0100 Owner-occupied dwellings
71B
78
79
71A
65 (excl. 6552)
SPECIAL INDUSTRIES
SERVICES
72A
72B
73A
73B
73C
Hotels and lodging places:
72.0100 Hotels and lodging places
Personal and repair services (except auto):
72.0201 Laundry, cleaning, garment services, and shoe repair ..
72.0202 Funeral service and crematories
72.0203 Portrait photographic studios, and other miscellaneous
personal services.
72.0204 Electrical repair shops
72.0205 Watch, CIOCK, jewelry, and furniture repair
72.0300 Beauty and barber shops
Computer and data processing services:
73.0104 Computer and data processing services
Legal, engineering, accounting, and related services:
73.0301 Legal services
73.0302 Engineering, architectural, and surveying services
73.0303 Accounting, auditing and bookkeeping, and
miscellaneous services, n.e.c.
Other business and professional services, except medical:
73.0101 Miscellaneous repair shops
73.0102 Services to dwellings and other buildings
73.0103 Personnel supply services
73.0105 Management and consulting services, testing and
research labs.
73.0106 Detective and protective services
73.0107 Miscellaneous equipment rental and leasing
73.0108 Photofinishing labs and commercial photography
73.0109 Other business services
80
Noncomparable imports:
80.0000 Noncomparable imports
81
Scrap, used and secondhand goods:
81.0001 Scrap
81.0002 Used and secondhand goods
70
721,725
726
722, 729
82
762
763-4
723-4
General government industry:
82.0000 General government industry
83
Rest of the world adjustment to final uses:
83.0001 Rest of the world adjustment to final uses
737
84
Household industry:
84.0000 Household industry
81
871
872, 89
85
Inventory valuation adjustment:
85.0000 Inventory valuation adjustment
769
734
736
874, 8731-2, 8734
7381-2
735
7384, 7335-6
732, 7383, 7389,
7331,7334,7338
73D
Advertising:
73.0200 Advertising
731
74
Eating and drinking places:
74.0000 Eating and drinking places
58
751
753, 7549
752, 7542
45
76
65.0702
Automotive repair and services:
75.0001 Automotive rental and leasing, without drivers
75.0002 Automotive repair shops and services
75.0003 Automobile parking and car washes
Related 1987 SIC
codes
VALUE ADDED
88.0000
89.0000
90.0000
Compensation of employees
Indirect business tax and nontax liability
Other value added
FINAL USES
91.0000 Personal consumption expenditures
92.0000 Gross private fixed investment
93.0000 Change in business inventories
94.0000 Exports of goods and services
95.0000 Imports of goods and services
96.0000 Federal Government purchases, national defense
97.0000 Federal Government purchases, nondefense
98.0001 State and local government purchases, elementary and
secondary public school systems.
98.0002 State and local government purchases, public
educational facilities beyond high school.
781-3
784
792
793
7941
7948
7991,7997
791,7992-3,7996,
7999
801-3, 8041
806
805
074, 8043, i
807-9
821
822
823-4, 829
861-2
863-4
84, 865, 869, 8733,
6732
833
835
836
832, 839
SURVEY OF CURRENT BUSINESS
April 1994 •
97
Appendix B.—Industry Classification of the 1987 Benchmark Input-Output Accounts—Continued
1-0 industry number and title
Related 1987 SIC
codes
98.0003 State and local government purchases, other education
and libraries.
99.1001 State and local government purchases, hospitals and
categorical health programs.
99.1002 State and local government purchases, public welfare
institutions and activities.
99.1003 State and local government purchases, public sewerage
systems, capital account only.
99.1004 State and local government purchases, sanitation
99.2001 State and local government purchases, police
99.2002 State and local government purchases, fire fighting
organizations and auxiliary services.
99.2003 State and local government purchases, correctional
institutions.
99.3001 State and local government purchases, public highways
(excluding non-capital expenditures of toll roads).
99.3002 State and local government purchases, waterports and
airports, capital account only.
99.3003 State and local government purchases, governmentoperated transit systems, capital account only.
99.3004 State and local government purchases, other commerce
activities n.e.c, capital account only.
99.3005 State and local government purchases, gas and electric
utilities, capital account only.
99.3006 State and local government purchases, governmentoperated water supply facilities, capital account only.
99.3007 State and local government purchases, redevelopment
projects, capital account only.
99.3008 State and local government purchases, natural and
agricultural resources and recreation facilities.
99.3009 State and local government purchases, other general
government activities, n.e.c.
ADDENDUM: Special commodity groupings
New construction:
11.0101 Residential 1-unit structures, nonfarm
11.0102 Residential 2-4 unit structures, nonfarm
11.0103 Residential garden apartments
11.0104 Residential high-rise apartments
11.0105 Residential additions and alterations, nonfarm .
11.0106 Hotels and motels
11.0107 Dormitories and other group housing
11.0201 Industrial buildings
11.0202 Office buildings
11.0203 Warehouses
1. Although the SIC assigns the same codes to activities of both private firms and government agencies, SIC
codes in the I-O accounts are used only for classifying private activities.
2. Noncomparable imports include imported goods and services that are not commercially produced in the United
States, and goods and services that are produced abroad and used abroad by U.S. residents—for example, defense
spending abroad.
3. Industry output is zero because there is no primary producing industry. Scrap is a secondary product of many
industries, and used goods are sales and purchases typically between final uses. The sales are shown as negative
values in the use table.
4. Industry output is defined as the compensation of general government employees except for those engaged
I-O industry number and title
11.0204
11.0205
11.0206
11.0207
11.0231
11.0232
11.0241
11.0250
11.0301
11.0302
11.0303
11.0304
11.0305
11.0306
11.0307
11.0308
11.0400
11.0501
11.0502
11.0601
11.0602
11.0603
11.0701
11.0702
11.0703
11.0704
12
Related 1987 SIC
codes
Garages and service stations
Stores and restaurants
Religious buildir
Educational"
Hospitals ....
Residential institutions and other health-related facilities
Amusement and recreation buildings
Other nonfarm buildings
Telephone and telegraph facilities
Railroads
Electric utility facilities
Gas utility facilities
Petroleum pipelines
Water supply facilities
Sewer system facilities
Local transit facilities
Highways and streets
Farm housing units and additions and alterations
Farm service facilities
Petroleum and natural gas well drilling
Petroleum, natural gas, and solid mineral exploration ....
Access structures for solid mineral development
Military facilities
Dams and reservoirs
Other conservation and development facilities
Other nonbuilding facilities
Maintenance and repair construction:
12.0100 Nonfarm residential structures
12.0201 Other nonfarm buildings
12.0202 Farm residential buildings
12.0203 Farm service facilities
12.0204 Telephone and telegraph facilities
12.0205 Railroads
12.0206 Electric utility facilities
12.0207 Gas utility facilities
12.0208 Petroleum pipelines
12.0209 Water supply facilities
12.0210 Sewer facilities
12.0211 Local transit facilities
12.0212 Military facilities
12.0213 Conservation and development facilities
12.0214 Highways and streets
12.0215 Petroleum and natural gas wells
12.0216 Other nonbuilding facilities
in construction work; their compensation is included in the construction industry. It also excludes the compensation
of employees of government enterprises.
5. The commodity entries include adjustments to personal consumption expenditures and government purchases
that eliminate items that are actually exports.
6. Industry output is defined as the compensation of domestic household workers.
7. The inventory valuation adjustment converts the inventory changes based on withdrawals valued primarily at
historical cost as reported by most businesses to replacement cost, the valuation used in the I-O accounts.
8. There are no related SIC codes since these categories are not industries, but are categories of income.
9. There are no related SIC codes since these categories are not industries, but are categories of final uses.
9$ • April 1994
SURVEY OF CURRENT BUSINESS
Table 1.—The Make of Commodities
[Millions of dollars
stry number
For the distribution of industries producing a commodity, read the column for that commodity
For the distribution of commodities produced by an industry, read the row for that industry
I
Commodity number
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
Construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear leather and leather Droducts
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating plumbing and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm construction and mining machinery
Materials handlina machinery and eauiDment
Metalworking machinery and equipment
Soecial industry machinery and eouiDment
General industrial machinery and equipment
Miscellaneous machinery exceDt electrical
Computer and office equipment
.
Service industry machinery
Electrical industrial eQuiDment and aDDaratus
Household appliances
.
.
.
Electric lighting and wiring equipment
Audio video and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services' passenger ground transportation
Motor freight transportation and warehousing
Water transportation
Air transportation
Pipelines, freight forwarders, and related services
Communications except radio and TV
Radio and TV broadcastino.
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
. . . .
Finance
Insurance
Owner-occupied dwellings ..
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
General government industry
Household industry
Inventory valuation adjustment
Total commodity output
•Less than $500,000.
Livestock
and
livestock
products
Other agricultural
products
Forestry
and fishery
products
Agricultural,
forestry,
and fishery
services
Metallic
ores
mining
Coal
mining
Crude
petroleum
nd natural
gas
Nonmetallic
minerals
mining
New construction
Maintenance
and repair
construction
1
2
3
4
5+6
7
8
9+10
11
12
83,609
82,183
243
1,788
7,456
494
974
22,201
6,800
0
25,447
67,947
3
4
6
5
1
11 321
445,347
2
8
1
1
173,466
140
402
1
. . .
59
83,609
82,183
9,488
23,668
6,802
25,451
68,008
11,884
445,347
173,466
SURVEY OF CURRENT BUSINESS
April 1994
•
99
by Industries, 1987 Benchmark
at producers' prices]
Food and
kindred
products
Tobacco
products
Broad and
narrow
fabrics,
yarn and
thread mills
Miscellaneous
textile goods
and floor
coverings
Apparel
Miscellaneous
fabricated
textile
products
Lumber and
wood
products
Furniture
and fixtures
Paper
and allied
products,
except
containers
Paperboard
containers
and boxes
Newspapers
and
periodicals
Other
printing and
publishing
Industrial
and other
chemicals
Agricultural
fertilizers
and
chemicals
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
3.075
771
Industry number
Ordnance and
accessories
131
n
143
1,259
0
...„
26,047
325,129
26,361
34,225
317
140
68
183
4
63,762
55
1
19
43
1
1
1
1
298
15,177
3
35
2
2
175
1
2
5
3
24
4
5
3
20
119
13
7
250
107
1
n
3
1,838
75
183
16,647
8
35
32
1
1
1
10
72,281
136
49
4
17
3
1
3
1
4
1
1
20
160
36,040
16
3
343
3
4
3
24
2
80
2
18
43
4
33
25
18
3
1
1
27
n
124
71
1
40
4
4
71
n
1
26
59
10
89
1
1
18
2
4
4
1
2
48
4
15
1
14
13
14
10
79,160
87
1
587
42
497
2
100
1
1
2
7
1
86
24,848
38
14,993
677
15
3
1
1
15
1
1
4
3
1
3
1
4
8
2
1
5
2
3
1
2
14
3
1
38
318
656
16
1.002
1
1
1
4
1
2
7
1
2
232
25
1,781
64,778
2
3
28
153
22
9
1
2
1
2
1
1
3
5
4
162
1
1
1
56
2
1
2
3
81
2
132
10
3
8
9
18
7
6
1
1
5
2
43
1
2
39
41
12
3
10
58
2
48
843
11,877
177
59
342
23
2
71
31
125
15
10
18
2
47
2
'l
4
3
2
56
7
12
7
2
10
1
3
4
4
11
2
1
4
1
29
28
75,354
1,132
3,170
210
1,294
62
5,357
185
7
{
3
18
1
2
1
1
181
34
42
2
5
10
4
13
1
5
1
1
2
1
i
2
1
2
407
1
11
17
5
4
75
6
30
15
18
2
53
6
7
13
1
112
100
20
13
26
92
10
20
223
58
1
222
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
Ilk
28,177
329,636
26,381
34,832
16,266
64,259
19,006
72,936
36,700
80,961
25,288
15,674
67,126
89,852
13,365
77B
78
79
82
84
85
T
100
SURVEY OF CURRENT BUSINESS
• April 1994
Table 1.—The Make of Commodities
[Millions of dollars
Plastics
and
synthetic
materials
Drugs
Cleaning
and toilet
preparations
Paints and
allied
products
Petroleum
refining
and
related
products
Rubber
and
miscellaneous
plastics
products
Footwear,
leather,
and
leather
products
Glass and
glass
products
Stone and
clay
products
28
29A
29B
30
31
32
33+34
35
36
5try number
For the distribution of industries producing a commodity, read the column for that commodity
For the distribution of commodities produced by an industry, read the row for that industry
Commodity number
*Less than $500,000.
37
1
4,162
299
72
4
1
136
39
2
4
1 663
110
1
2
...
4
123
4,851
213
36,104
16
39
115
1
232
1
769
80
72
719
30,826
21
18
11
1
489
181
71
34,447
286
7
11
50
1
1
4
9
1
31
922
3
3
37
11,832
4
21
44
7
132,214
1
143
2
1
1
115
1
1
3
1
1
2
1
3
1
1
2
3
7
3
1
....
1
1
1
1
1
13
9
8
27
6
3
21
.
1
4
3
3
6
204
28
84
3
31
59
2
13
1
1
37
15
132
17
17
76
76
850
275
1
31
297
1
686
21
60
7
1
82,604
8
18
99
7
48
45
229
97
237
84
n
43
87
1
29
2
5
1
39
4
135
1
1
1
10
12
100
43
15,893
49
1
65
38
42,323
15
38
18
18
7
37
2
42
1
24
4
1
42
6
12
4
2
4
19
1
11
6
23
8,563
3
12
11
4
53
34
56
33
2
68
14
8
72
4
66
8
90
15
3
132
78
111
3
1
n
42
10
1
3
1
1
1
1
25
2
14
26
5
10
65,015
494
81
10
109
14
104
3
28
16
27
49
17
7
8
9
5
1
133
1
11
1
41
1
29
CO CM CM
1 Livestock and livestock products
2 Other agricultural products
3 Forestry and fishery products
4 Agricultural forestry and fishery services
..
5+6 Metallic ores mining
7 Coal mining
. .
.
8 Crude petroleum and natural gas
9+10 Nonmetallic minerals mining
...
.
11+12 Construction
13 Ordnance and accessories
14 Food and kindred products
15 Tobacco products
16 Broad and narrow fabrics yarn and thread mills
17 Miscellaneous textile goods and floor coverings
18 Apparel
19 Miscellaneous fabricated textile products
20+21 Lumber and wood products
22+23 Furniture and fixtures
....
...
24 Paper and allied products, except containers
25 Paperboard containers and boxes
26A Newspapers and periodicals
...
26B Other printing ana publishing
27A Industrial and other chemicals
.
27B Agricultural fertilizers and chemicals
28 Plastics and synthetic materials
29A Drugs
29B Cleaning and toilet preparations
30 Paints and allied products
....
31 Petroleum refining and related products
32 Rubber and miscellaneous plastics products
33+34 Footwear, leather, and leather products
35 Glass and glass products
36 Stone and clay products
....
37 Primary iron and steel manufacturing
38 Primary nonferrous metals manufacturing
39 Metal containers
40 Heatina Dlumbina and fabricated structural metal Droducts
41 Screw machine products and stampings
42 Other fabricated metal products
43 Engines and turbines
44+45 Farm construction and mining machinery
46 Materials handling machinery and equipment
47 Metalworking machinery ana equipment
48 Special industry machinery and equipment
49 General industrial machinery and equipment
50 Miscellaneous machinery except electrical
.
51 Computer and office equipment
52 Service industry machinery
53 Electrical industrial equipment and apparatus ....
.
54 Household aDDliances
55 Electric lighting and wiring equipment
56 Audio video and communication equipment
57
Electronic components and accessories
58
Miscellaneous electrical machinery and supplies
59A
Motor vehicles (Dasssnoer cars and trucks)
59B
Truck and bus bodies trailers, and motor vehicles parts
60 Aircraft and parts
61 Other transportation equipment
62 Scientific and controlling instruments
63 Ophthalmic and photographic equipment
64 Miscellaneous manufacturing
65A Railroads and related services; passenger ground transportation
65B Motor freight transportation and warehousing ....
...
65C Water transportation
65D Air transportation
65E Pipelines freight forwarders and related services
66 Communications, except radio and TV
67 Radio and TV broadcasting
68A Electric services (utilities)
68B Gas production and distribution (utilities)
68C Water and sanitary services
69A Wholesale trade
69B Retail trade
70A Finance
70B Insurance
71A Owner-occupied dwellings
71B Real estate and royalties
72A Hotels and lodaina places
72B Personal and repair services (except auto)
73A Computer and data processing services
73B Legal, engineering, accounting, and related services
73C Other business and professional services except medical
73D Advertising
.
74 Eating and drinking places
75 Automotive repair and services
76 Amusements
. .
77A Health services
77B Educational and social services and membership organizations
78 Federal Government enterprises
79 State and local government enterprises
82 General government industry
84 Household industry
85 Inventory valuation adjustment
T Total commodity output
Primary
iron and
steel manufacturing
20
2
1
1
1
2
14
2
7
20
33
43,407
35,862
32,872
12,183
137,599
86,851
8,787
16,335
43,340
66,201
April 1994
SURVEY OF CURRENT BUSINESS
• 101
by Industries, 1987 Benchmark—Continued
at producers' prices]
Metal
containers
Heating,
plumbing,
and fabricated structural metal
products
Screw
machine
products and
stampings
Other
fabricated
metal
products
Engines and
turbines
Farm, construction,
and mining
machinery
Materials
handling
machinery
and
equipment
Metalworking
machinery
and
equipment
Special
industry
machinery
and
equipment
General
industrial
machinery
and
equipment
Miscellaneous
machinery,
except
electrical
Computer and
office
equipment
Service
industry
machinery
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
n
7
4
10
3
6
4
8
1
n
6
39
74
78
1
29
6
12
91
3
1
2
5
10
1
2
7
7
1
18
7
2
2
1
1
2
n
1
1
4
11
13
1
2
1
CM CD
1
5
74
71
3
12
2
24
23
71
173
3
• ::: :
1
12
3
MM!
n
Industry number
Primary
lonferrous metals
manufacturing
1
7
2
2
9
2
3
2
4
24
13
4
2
1
1
1
1
3
18
1
1
14
2
47
3
1
3
1
1
1
9
1
1
2
2
62
14
1
n
384
54,561
19
11
94
31
1
11,544
15
30
2
1
21
4
17
11
1
18
2
5
21
15
54
253
2
7
44
9
5
55,746
1
11,739
108
83
53
42
81
76
5
42,018
111
229
3
62
40
19
44
126
47
1
164
8
28
10
5
7
4
8
54
51
52
27
2
14
2
10
26
55
9
169
30,298
159
1
71
4
78
5
28
29
1
60
23
36
20
3
22
8
438
105
17
2
12
2
18
43,686
31,826
1
17
14
1,818
173
2
410
162
41,845
3
80
23
131
90
152
399
24
58
35
15
109
12
95
10
371
110
9
180
2
104
47,022
4
12,864
202
1
1
4
106
7
40
9
609
440
70
35
1
11
30
164
2
1
1
68
7
62
31
25,219
35
118
33
147
16
6
3
1
1
4
2
1
12
79
2
77
3
35
2
18
136
6,839
23
64
54
21
16
7
1
3
6
1
57
47
3
26
1
14,394
26,005
7,376
329
1
1
62
176
180
1
68
616
147
42
108
19
19.849
112
55
106
13
5
8
1
9
1
11
5
29
19
19
3
14
2
6
22,051
1
26
9
6
4
2
4
7
51
10
1
4
2
5
37
32
23
33
5
30
57
171
15.331
208
29
47
33
24
14
8
1
94
4
101
41
164
35
106
55
138
188
21,625
68
30
138
94
18
1
46
36
159
64
93
20
144
51
182
18,546
29
21
13
3
68
3
6
15
3
4
10
1
1
2
8
7
2
11
51,717
6
30
234
45
14
32
1
4
1
11
1
260
303
1
23
1
7
60
2
70
41
5
16,411
3
6
1
152
16
84
8
7
23,221
19,855
1
33
5
13
19
127
1.711
81
54,431
76
4
36
1
33
13
7
110
127
12
2
20,906
15
222
1
2
3
62
1
7
14
3
2
21,746
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
102 • April 1994
SURVEY OF CURRENT BUSINESS
Table 1.—The Make of Commodities
[Millions of dollars
For the distribution of commodities produced by an industry, read the row for that industry
Commodity number
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural forestry and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
Construction
Ordnance and accessories
Food and kindred products
Tobacco products
*
Broad and narrow fabrics yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products except containers
Paperboard containers and boxes
Newsoaoers and rjeriodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear leather and leather products
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating plumbing and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
. . . . . .
Farm construction and mining machinery
Materials handling machinery and equipment
Metalworking machinery ana equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
..
Electric lighting and wiring equipment
Audio video and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies trailers and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services' passenger ground transportation
Motor freight transportation and warehousing ...
Water transportation
Air transportation
.
Pipelines, freight forwarders, and related services
Communications except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
.
Retail trade
Finance
...
. .
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal engineering accounting and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
General government industry
Household industry
Inventory valuation adjustment
Total commodity output
*Less than $500,000.
Electrical
industrial
equipment
and
apparatus
Household
appliances
Electric
lighting
and wiring
equipment
Audio,
video, and
communication
equipment
Electronic
components
and
accessories
Miscellaneous
electrical
machinery
and
supplies
Motor
vehicles
(passenger
cars and
trucks)
Truck and
bus bodies,
trailers, and
motor
vehicles
parts
Aircraft
and parts
Other
transportation
equipment
53
54
55
56
57
58
59A
59B
60
61
140
1
1
c
3
2
21
69
16
3,802
2
n
1
1
1
ro -••:
Industry number
For the distribution of industries producing a commodity, read the column for that commodity
6
3
1
1
n
7
. . .
0
42
(*)
5
14
1
3
1
2
1
1
1
29
50
.
.
63
5
2
28
96
124
99
3
2
23,277
76
54
63
8
4
10
68
2
1
3
35
1
19
35
115
7
12
1
85
2
14,863
5
273
5
6
6
3
36
151
10
16,384
49
129
159
30
47
4
4
81
6
21
15,670
17,421
12
1
n
1
5
13
8
5
83
36
7
4
63
227
20
21
69
3
64
141
43
9
21,698
5
185
58
197
62
1
1
14
1
3
1
1
331
7
2
7
2
2
1
339
1
11
11
60
38,346
335
223
28
42
62
<
)
)
J
16
285
2
14
2
7
44
14
18
17
2
8
23
1
n
3
22>
7
1,162)
12'
i
4v3
43 3
45,34(3
39 7
28
3
9
163
188
10
55
9
98
122
164
18,539
1,171
31
10
37
1
393
2
1
358
81
1
514
126
4
41,037
48,203
20,987
191
33
6
n
n
1
1
17
13
79
187
53
15
27
5
46
188
609
36
1
16
9
11
1
45
489
4
n
11
23
14
39
12
1
46
1
1
24
7
23
17
210
8
4
1
4
23
i"
1
192
130,195
3,304
2
n
690
3,346
62,377
12
55
2
16
4
55
79,455
24
342
1
3
52
51
23,564
18
44
8
,
133,509
68,327
84,421
24,074
April 1994
SURVEY OF CURRENT BUSINESS
•
103
by Industries, 1987 Benchmark—Continued
Scientific and
controlling
instruments
Ophthalmic
and photographic
equipment
Miscellaneous
manufacturing
Railroads
and related
services;
passenger
ground
transportation
Motor freight
transportation
and
warehousing
Water
transportation
Air
transportation
Pipelines,
freight
forwarders,
and related
services
Communications,
except radio
and TV
Radio
and TV
broadcasting
Electric
services
(utilities)
Gas
production
and
distribution
(utilities)
Water and
sanitary
services
Wholesale
trade
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27k
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
807
11,968
1,254
1
74
6
5
6
55
221
1
1
7
1
71
21
14
1
281
53
72
9
15
44
79
16
93
28
168
2
3
2
45
24
57
16
58
24
152
12
33
1,140
343
307
1
141
671
3
80,003
239
96
2
2
2
9
5
24
40
13
28
103
26
6
146
8
5
2
36
10
11
65
3
n
126
6
5
20
1
1
26
8
13
42
1
3
1
1
2
1
32
9
2
53
18,402
16
2
1
10
6
7
4
11
7
2
35
10
19
16
13
8
2
13
14
23
13
30,178
43,271
162
113,492
2,603
24,053
302
733
108
76,253
1,465
23,301
160,164
2,250
36
132,335
Industry number
at producers' prices]
67,248
10,971
423]751
68C
69A
69B
37
4,822
85,858
18,707
31,083
48,394
115,194
24,198
79,060
7,216
16,902
1,342
23,301
160,164
2,250
2,938
14,859
156,453
82,180
28,469
423,751
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
SURVEY OF CURRENT BUSINESS
104 • April 1994
Table 1.—The Make of Commodities
[Millions of dollars
Retail trade
Finance
Insurance
Owneroccupied
dwellings
Real estate
and
royalties
Hotels and
lodging
places
Personal
and repair
services
(except
auto)
Computer
and data
processing
services
69B
70A
70B
71A
71B
72A
72B
73A
Industry number
For the distribution of industries producing a commodity, read the column for that commodity
For the distribution of commodities produced by an industry, read the row for that industry
Commodity number
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural forestry and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
Construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products except containers
Paperboard containers and boxes
NewsDarjers and Deriodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
. . . .
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products .
.
.
.
Rubber and miscellaneous Dlastics oroducts
Footwear leather and leather products
Glass and glass products
Stone and clav Droducts
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating plumbing and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm construction and mining machinery
Materials handling machinery and equipment
Metalworkino machinery ano eouirjment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery exceDt electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household aDDliances
Electric liahtina and wirino ec-uioment
.
Audio video and communication equipment
Electronic comrjonents and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies trailers and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
.
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing ...
Water transportation
Air transportation
Pipelines freight forwarders and related services
Communications except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
.
Legal, engineering, accounting and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
General government industry
Household industry
Inventory valuation adjustment
Total commodity output
•Less than $500,000.
Legal, engineering,
accounting,
and related
services
73B
.
•••••••••••
.
.
.
.
.
.
.
. . . .
2,083
.
.
.
13
51
51
420,693
280,874
79
4,020
172,850
1,640
325,144
380,275
934
40,064
66,233
.
60,821
177,931
35
751
1,301
966
76
422,960
280,950
177,621
737
7,596
325,144
389,620
79
3
40,064
66,271
64,687
177,982
April 1994
SURVEY OF CURRENT BUSINESS
•
105
by Industries, 1987 Benchmark—Continued
Other
business and
professional
services, except medical
Advertising
Eating and
drinking
places
Automotive
repair and
services
Amusements
Health
services
Educational
and social
services, and
membership
organizations
Federal
Government
enterprises
State and local
government
enterprises
Scrap, used
and
secondhand
goods
General
government
industry
Household
industry
Inventory
valuation
adjustment
Total industry
output
73C
73D
74
75
76
77A
77B
78
79
81
82
84
85
99
64
88
3
108
1
80
191
32,945
20,732
121
6
116
166
256
83
309
37
52
15
5
9
2
36
15
12
38
25
27
8
93
27
26
146
155
11
8
14
1.949
26
963
27,146
291
70
211,16
92
9,333
15,884
22
217
209,177
31 3
113
130,391
45
78,148
338.393
408
152,270
1,844
744
33.469
75
416
18.754
466,785
7,709
211,758
109,406
211,021
131,228
78,841
338,393
152,270
33,469
19,045
2,321
466,785
7,709
-17,817
-17,817
87,484
86,742
7,456
22,201
6,807
25,452
84,228
12,964
618,813
31.438
325,972
26,383
38,244
15,982
64,184
16,987
72,875
36,777
81,982
25,511
49,727
87,378
84,375
13,512
40,672
36.012
33,229
12,072
137.871
85.572
8,700
16,085
43,732
68,091
56,376
11,904
43,930
31.973
44,424
14,096
26,753
7,194
21,227
16.254
23,236
20,003
55,819
22,409
22,665
15.361
17,615
40,700
48,654
20,823
134,115
68,991
82,128
24,082
85,463
19,725
33,089
43,458
116,095
24,053
76.253
25.908
161,127
29,396
132.371
67,549
11,262
423,751
420,694
286,613
172,850
325,144
380.275
40.997
66,302
60.821
177.931
220.728
15.884
209,394
130,704
78,192
338,511
152,678
45,396
69,484
466,785
7,709
-17,817
8,175,016
stry number
at producers' prices]
f
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
6QB
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
106 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.-The Use of Commodities
[Millions of dollars
For the distribution of output of a commodity, read the row for that commodity
For the composition of inputs to an industry, read the column for that industry
Livestxk
and
livestock
products
Other
agricultural
products
AgriForestry
cultural,
and fishery
forestry,
and fishery
products
services
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry, and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
New construction
Maintenance and repair construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery, except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
Electric lighting and wiring equipment
Audio, video, and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers, and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing
Water transportation
Air transportation
Pipelines, freight forwarders, and related services
Communications, except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations .
Federal Government enterprises
State and local government enterprises
Noncomparable imports
Scrap, used and secondhand goods
General government industry
Rest of the world adjustment to final uses
Household industry
Inventory valuation adjustment
Total intermediate inputs
VA Value added
T Total Industry output
'Less than $500,000.
Nonmetallic
minerals
mining
16,818
23,778
1,584
3,855
4,003
6,542
6
254
458
"'716
168
1,288
1,251
2,089
32
Construction
9+10
Crude
petroleum
and
natural gas
Coal
mining
5+6
Industry number
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
Metallic
ores
mining
11+12
Ordnance
and
accessories
241
n
519
"'3,250
1
11
3,149
"Ti',566
452
....
....
32
83
29
305
195
fi
33
1,844
3
2
18
25
114
""79
295
110
5
9
9
102
142
139
333
10
10
64
4,607
10
185
3
24
7
2,972
1
(*)
3
204
1
n
1
12
138
2
215
36
3
10
12
127
82
390
247
198
54
335
162
25
6
1,175
357
4
294
2
n
100
15
1
23
134
15
2
2
32
837
7
6
289
26
1
8
265
260
38
4
24
8
220
(*)
194
122
4,834
44
338
13
208
899
n
0
1,760
120
223
33,521
1,271
1,184
45
52
204
1,310
10
4,688
11,220
6,677
29
993
31,054
10,023
6,194
2
4
31
198
1
3
50
473
562
189
462
249
"663
383
22
239
61
33
37
57
253
142
31,335
280
8,090
157
36
164
19
1,513
126
16
6
43
35
9
37
129
35
66
146
82
111
1,084
428
78
19
"i53
64
46
92
50
123
152
404
90
"217
156
15
15
824
1,914
107
20
4
222
16
249
1,290
46
100
15
246
972
111
3,861
75
796
438
51
164
368
3,567
228
849
1,797
3,000
49
26
121
954
21
1"
179
n
7,097
54
70
108
362
19
16
50
1,419
1,416
200
6,638
2,743
1,505
9,894
2,011
85
4
7
24
24
1
6
186
77
102
16
252
132
11
131
40
1
12
1
8
14
92
208
33
418
1,452
67
103
80
179
24
182
90
243
206
92
80
588
282
7
22
3
22
127
6
31
414
2
1,421
116
878
1,557
8,274
302
853
37
2,31
235
119
25
2
874
870
19
1
3,195
652
159
54
19
3
10
§
45
154
103
86
4
120
1
2
6
36
182
1
647
74
15
133
611
11
60
720
g
169
31
1,292
556
131
523
6
223
18
651
218
135
260
3
231
6
1,047
322
252
26,466
24,114
7,098
1,966
260
89
31
585
4
58
32
85
12
33
113
38
622
14,641
27
10
207
82
46
19
19:
801
144
853
69
191
154
106
20
115
96
112
19
23
17
2,711
707
139
6
36,297
14,948
244
1,440
6,117
42
264
27
12
15
325
346
615
88
28
2
c
19
7
18
153
2
145
1
145
744
25
243
121
29
792
72,410
15,074
87,484
40,021
46,721
86,742
3,748
3,708
7,456
12,253
9,948
22,201
3,33
3,476
6,807
9.964
15,488
25,452
28,744
55,484
84,228
4,751
8,213
12,964
327,813
291,000
618,813
12,510
18,928
31,438
April 1994
SURVEY OF CURRENT BUSINESS
•
10J
by Industries, 1987 Benchmark
Food and
kindred
products
Broad and
narrow
fabrics, yarn
and thread
mills
products
14
15
Miscellaneous textile
goods and
floor
coverings
Apparel
16
T
17
18
ous
262
60 821
22,262
2 033
1,707
8
(*)
3
1
105
15
28
10
3,192
Paper and
allied
products,
except
containers
34
Lumber and
wood
products
fabricated
textile
products
19
20+21
13
31
295
4
22+23
5 874
' 22
4
1
21
7
Paperboard
containers
and boxes
Newspapers
periodicals
Other
printing and
publishing
Industrial
and other
chemicals
24
Miscellane-
25
26A
26B
27A
108
6
15
428
and
(*)
1
2
2
1
13
chemicals
86
68
2
636
273
39
54,695
1
179
(*)
1
48
42
22
129
(*)
1
9 897
3 621
13 040
3 875
1264
12,117
1 506
(*)
3
683
11
17
1
19
2
346
2
131
952
2
377
51
24
131
2
11
852
94
99
1
7
594
111
200
4
54
78
4
3 664
13
11
72
61
3,142
5,856
10
1,880
1,505
187
121
890
154
369
5,261
1
5 251
19
5
1
1
1
8,683
1 526
88
1
104
198
2
207
4
2
18
35
71
3 825
78
1
31
117
161
552
52
39
200
2
30
103
509
294
0
112
302
313
13
496
230
2
3,923
6
2
4
1
n
1
1
5
552
926
662
185
2
1
7
1
n
1
6
12
14
109
5
224
6
18
31
10
1
9
160
7
20
38
90
220
90
7
14
8
7
(*)
0
1
n
n
4
1
2
1
19
4
4
1
n
397
88
187
238
575
55
158
15
344
3
3
9
348
92
53
5
136
12
17
1 236
973
13
58
677
356
11
1
1
3,229
5
(*)
4,804
(*)
23
48
(*)
1
20956
5
1
1
2
721
409
7
52
48
55
1
190
463
269
2
15
18,226
1,371
2,533
13,509
71
64
279
7
38
848
186
329
1
386
446
690
g
211
409
31
53
146
51
555
4
33
215
1
13,139
1,088
4
110
3,444
11,548
6,485
14,631
53
1
13
491
12
443
336
206
3,358
7,054
2,389
379
205
114
2 005
376
84
386
19
565
1,197
1,999
104
137
131
1
5
90
2
47
1,528
469
129
557
66
182
73
3
(*)
1
68
54
81
33
2
1
1
442
16,850
53
937
355
866
209
192
123
866
1,802
8,657
358
477
5
80
235
288
5,056
225,473
100,498
325,972
n
35
410
21
77
2
•|
27
16
5
(*)
21
41
1
1
3
3
3
1
n
59
6
1
5
1
1
0
21
9
83
48
1
n
9
30
8
13
35
4
1
1
14
10
62
160
369
15
83
1
89
38
12
9
828
7
3
3
287
570
17
48
172
527
141
430
84
20
5
908
6
1
1,005
1,494
5
5
3
475
570
131
59
12
91
102
16
69
4
46
136
202
51
4
12
54
8
47
22
38
18
25
3
25
149
12
59
97
38
13
10
650
191
385
16
144
13
175
342
992
191
292
2
26,104
12,140
38,244
23
359
2
40
47
3
1
40
5
57
2
52
10
36
99
343
32
20
1
9,588
16,795
26,383
7
77
2
13
7
n
2
r)
71
3
191
30
91
466
227
76
113
1
152
114
1,807
18
100
O
55
n
78
8
7
11
61
97
783
19
101
2
1,088
44
368
55
95
0
33+34
26
14
29
11
106
41
87
20
9
536
8
131
37
79
13
71
38
1,685
39
26
230
89
103
38
2,171
277
9
29
1
48
1
994
2
133
68
177
59
462
24
7
166
5
11,628
4,354
15,982
19
281
76
37,181
27,003
64,184
29
n
88
10,072
6,915
16,987
6
12
14
43
663
1,026
111
81
5
125
1,627
107
387
g
152
72
43
121
13
174
327
5
940
2
206
246
21
21
782
27
256
70
725
95
77
2,850
2,389
3,080
3,141
69
449
191
37
274
159
722
86
53
451
897
973
347
48
266
616
441
41
1,945
1,064
1,061
1,701
1,164
1,135
533
879
16
220
116
5
124
594
21
234
25
85
67
636
344
182
344
82
66
3,806
2,039
1,074
3,637
73
446
196
16
379
58
80
303
216
277
80
29
999
16
41
47
305
22
32
22
230
546
987
218
502
5
257
19
27
16
421
749
730
160
178
15
221
167
127
184
205
450
857
132
732
3
118
2
11
29
69
184
40
53
184
1
175
71
25
13
63
63
14
32
62
72
153
84
828
4
22
8
2
47,704
34,278
81,982
16,705
8,806
25,511
1,044
46,952
25,923
72,875
19,518
17,259
36,777
2,292
994
869
201
327
5
78
586
8
55
20,689
29,037
49,727
30
368
156
232
42
207
4
241
42,232
45,145
87,378
318
38
66
47,098
37,277
84,375
20+21
22+23
69
115
25
1
105
40
52
951
1
129
26
110
3
29
(*)
28
123
1,012
95
1 470
4
519
96
34
10
39
147
83
113
190
13
1
9
7
178
366
757
136
104
408
12
13
14
15
16
17
18
19
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
1
216
112
26
433
2
60
24
1,842
5,132
5
3
75
502
1,616
123
12
3
2
105
15
123
7
21
4
1,378
39
238
1
53
372
1 007
1,505
22
44
147
114
1
94
54
5
1
1
2
3
4
5+6
7
8
9+10
289
(*)
4
6
305
18
280
7
114
1
95
5
2
1
2,750
1,336
o
1
n
1
2
2
43
238
27
9
1
28
31
19
18
498
484
3
447
(*)
(*)
1
1
1
6
132
4
423
1
7
479
1,020
1
576
303
810
28
27B
1 043
8
Plastics and
synthetic
materials
and
Com modity
at producers' prices]
0
281
781
49
15
1
39
304
466
113
747
3
226
26
37
3
4
6
83
335
194
17
30
n
964
771
149
1,743
10
104
77
118
30
81
17
1,038
358
479
57
91
1
10
5
7
101
33
53
19
19
147
10,148
3,364
13,512
26,308
14,365
40,672
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
I
VA
T
108 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.—The Use of Commodities
[Millions of dollars
For the distribution of output of a commodity, read the row for that commodity
For the composition of inputs to an industry, read the column for that industry
Industry number
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
I
VA
T
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry, and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
New construction
Maintenance and repair construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Staie and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery, except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
Electric lighting and wiring equipment
Audio, video, and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers, and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing
Water transportation
Air transportation
Pipelines, freight forwarders, and related services
Communications, except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
Noncomparable imports
Scrap, used and secondhand goods
General government industry
Rest of the world adjustment to final uses
Household industry
Inventory valuation adjustment
Total intermediate inputs
Value added
Total Industry output
'Less than $500,000.
29B
29A
Paints and
allied
products
30
Petroleum
refining
and
related
products
Rubber
and miscellaneous
plastics
products
Footwear,
leather,
and
31
Cleaning
and toilet
preparations
Drugs
32
33+34
75
46
952
"i60
42
61
1,146
2
345
2,971
468
3,758
21
39
749
1,535
63
329
1,713
233
1
231
3
2
1
138
12
64
65
433
16
196
390
n
35
184
3,513
1,449
10
231
"i30
392
1
17
328
57
25
1,294
20
6
1
126
2
6
2
95
239
197
4
6
66
1
5
271
191
2
17
1,758
99
3,905
1,441
60
15,955
417
6
9,933
620
3
277
51
42
29
65
235
4,074
5
450
247
300
115
15
707
1
25
982
109
5
252
80
1
551
142
5
25
1,269
""33
()
*
26
2,334
132
16
7
534
10
250
1,601
20
45
173
2
1,309
320
6
1
167
44
439
70
238
125
1
71
5,111
277
23
()
*
100
219
2
13
2
25
397
275
772
11
17
524
0
1
8
10
(*)
1
55
23
,
4
21
11
11
1,149
916
319
78
5
150
2
1
1
158
280
19
11
2
40
24
6
3
153
563
889
67
5,485
187
43
19
19
603
2,331
115
127
6
249
16
3
2
185
222
12
67
2
122
16
10
40
644
2,527
154
61
3
295
74
43
8
343
1,653
1,260
209
6,367
19
1,232
361
1,829
511
202
4,238
32
386
181
478
580
34
682
6
69
26
1,159
789
120
1,269
2,813
1,898
489
4,274
23
247
138
150
25
21
7
169
395
853
61
55
2
614
27
54
126
376
1,156
321
51
128
3
538
23
118
265
580
685
704
246
318
7
86
15
12
23
53
93
375
37
218
17
55
89
168
157
10
76
108
191
1,246
2,010
119
103
2
172
26
17
777
38
51
19
187
14!
72
16
392
297
31
1,155
13,840
22,172
36,012
15,583
17,646
33,229
113,613
24,258
137,871
47,948
37,624
85,572
28
5
3
27
119
12
56
1
126
5
45
112
369
38
80
2
79
288
167
34
1,439
9
186
32
189
167
48
1,583
5
88
52
211
13
48
5
1,568
1,071
366
66
111
2
.
1
23
332
139
2
5
996
10,233
1,470
1
207
4
4
434
13
,
1
136
28
15
79
3
35
1,723
19
8
5
161
233
29
255
,
Primary iron
and steel
manufacturing
36
2
33
399
812
894
12
24
189
161
314
1
182
Stone and
clay
products
products
21
75,971
490
"558
Glass and
glass
products
H
16
6,504
5,568
12,072
45
43
12
5
30
90
130
28
11
()
*
122
223
2
39
49
11
130
5,018
3,681
8,700
7,87!
8,210
16,085
13
87
43
84
2,583
23,169
20,563
43,732
42,721
25,370
68,091
Primary
nonferrous
metals
manufacturing
April 1994
SURVEY OF CURRENT BUSINESS
•
109
by Industries, 1987 Benchmark—Continued
Metal
containers
Heating,
plumbing, and
fabricated
structural
metal products
Screw
machine
products
and
stampings
Other
fabricated
metal
products
Engines and
turbines
Farm,
construction,
and mining
machinery
Materials
handling
machinery
and
equipment
Metalworking
machinery
and
equipment
Special
industry
machinery
and
equipment
General
industrial
machinery
and
equipment
Miscellaneous
machinery,
except
electrical
Computer
and office
equipment
machinery
39
40
41
42
43
44+45
46
47
48
49
50
51
52
n
1
1
13
5
n
12
5
1
21
1
4
2
12
n
n
1
6
(*)
1
1
(*)
1
Electrical
industrial
equipment
and
apparatus
Household
appliances
53
Service
industry
54
1
n
1
n
2
1
6
4
73
18
8
33
518
324
552
92
223
74
127
123
156
192
434
136
185
n
6
2
4
1
3
2
4
3
2
1
1
2
3
2
34
1
2
11
n
1
10
61
33
231
5
27
119
31
132
2
15
242
10
329
4
29
742
17
33
49
15
243
104
425
1
325
125
8,294
3,194
15
79
40
97
17
342
118
859
55
76
7,905
980
4
114
171
5,190
2,049
8
4
729
2,453
33
175
233
213
1,306
952
2
63
370
256
50
1
13
11
1
2
5
1
34
10
136
3
17
1
27
2
n
o
4
29
2
12
193
25
26
83
2
17
18
7
64
2
15
19
1
(*)
78
90
6
71
13
36
169
6
196
17
19
n
1
41
177
1
46
2
2
103
32
138
4
28
n
13
2,571
3,008
199
15
159
996
1,209
1,475
1
17
401
3
20
202
115
1
34
110
(*)
4
1
476
585
7
24
1
7
4
n
64
2
18
35
6
83
3
20
168
5
7
18
101
23
66
151
33
257
4
44
325
1
3
34
85
235
1,467
427
42
46
1,017
365
1
99
2,135
639
147
1,338
910
193
134
260
66
307
179
170
247
103
216
60
157
189
215
83
214
189
253
12
91
2,988
225
997
394
440
1,249
971
22
122
13
607
95
383
37
847
30
187
188
451
709
682
225
165
130
612
216
476
117
287
601
1
5
13
139
n
48
1,938
652
73
43
727
3
8
n
n
6
150
372
380
427
3
2
979
1
1
n
2
4
2
2
2
(*)
107
29
11
130
2
12
86
120
132
2
19
43
98
17
35
308
1
12
96
56
96
89
366
21
57
1,045
2
3
13
335
709
66
24
435
69
147
468
112
15
642
0
174
194
302
n
n
20
98
1,229
1,140
192
486
389
30
1
222
1,117
1,214
110
400
220
104
166
70
1,144
312
243
567
146
283
35
122
61
37
1,559
382
8
1
976
210
1,076
1
27
42
11,591
398
242
89
127
3
101
23
80
1,398
1
1
44
16
17
206
913
4,063
63
142
1,322
1,456
843
64
(*)
584
20
320
592
80
190
3
7
11
16
n
0
155
48
12
10
11
21
11
22
129
9
72
1
9
2
4
2
22
9
1
4
27
5
5
4
107
433
13
27
3
5
2
21
84
3
91
1
76
11
7
4
22
132
6
123
1
101
17
15
24
26
109
6
740
2
192
396
4
32
30
156
8
120
n
40
6
17
61
156
5
220
1
126
303
3
108
31
166
3
78
378
159
34
2,479
30
186
84
423
165
79
1,639
3
205
57
685
262
54
2,302
21
306
85
139
44
14
707
2
50
22
267
116
29
1,742
8
104
58
29
54
20
11
460
3
32
14
4
7
7
27
151
5
91
1
86
3
7
2
22
100
4
64
39
5
7
11
38
306
15
120
1
80
1
2
4
7
58
2
20
11
139
70
26
796
3
38
20
13
10
15
107
551
21
156
2
173
2
3
1
8
105
3
30
n
96
11
22
137
680
13
128
2
117
269
57
16
784
15
108
46
154
40
16
929
6
106
28
290
81
18
1,153
8
110
40
253
43
8
565
7
166
28
338
30
45
4,147
18
361
76
76
186
51
37
1,526
4
59
31
289
81
20
1,407
8
246
41
135
69
18
1,114
1
110
23
285
207
20
23
179
409
278
139
246
5
139
11
40
81
717
225
265
69
93
1
221
30
49
104
231
481
821
134
227
2
41
1
21
52
45
90
104
22
26
2
79
25
34
80
171
198
612
74
35
1
38
5
9
13
44
64
149
24
12
2
177
40
22
41
135
205
355
91
184
1
127
29
15
22
112
150
272
57
63
1
130
38
29
58
142
222
291
76
78
5
188
20
22
56
150
485
318
84
114
2
521
337
22
52
414
473
151
199
229
5
84
36
14
27
110
132
346
56
26
1
120
128
25
42
128
221
775
77
101
1
41
33
17
20
42
118
318
35
16
38
46
14
20
41
97
36
11
20
40
52
29
65
34
5
11
5
26
6
43
7
168
12
2
12
6
29
2
67
12
19
22
7
76
11
19
33
6
58
11
20
16
4
43
7
29
22
9
1,066
20
8
5
8
9
26
7
142
25
50
8
52
24,930
19,001
43,930
17,787
14,187
31,973
22,155
22,269
44,424
7,870
6,226
14,096
14,902
11,852
26,753
3,884
3,309
7,194
8,756
12,470
21,227
7,659
8,595
16,254
10,836
12,400
23,236
8,164
11,839
20,003
31,625
24,195
55,819
11,987
10,422
22,409
11,056
11,609
22,665
8,767
6,594
15,361
n
n
2
1
1
1
41
190
3
50
54
10
5
10
23
47
241
14
37
n
9
4
6
7
8,483
3,421
11,904
1
9
11
n
n
85
3
n
6
n
n
n
3
9
n
72
modity number
at producers' prices]
n
137
2
36
n
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
85
I
VA
T
110 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.—The Use of Commodities
[Millions of dollars
For the distribution of output of a commodity, read the row for that commodity
For the composition of inputs to an industry, read the column for that industry
Industry number
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry, and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
New construction
Maintenance and repair construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Stone and clay products .
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery, except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
Electric lighting and wiring equipment
Audio, video, and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers, and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing
Water transportation
Air transportation
Pipelines, freight forwarders, and related services
Communications, except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations .
Federal Government enterprises
State and local government enterprises
Noncomparable imports
Scrap, used and secondhand goods
General government industry
Rest of the world adjustment to final uses
Household industry
Inventory valuation adjustment
Total intermediate inputs
Value added
Total Industry output
•Less than $500,000.
Electric
lighting and
wiring
equipment
Audio,
video, and
communication
equipment
55
56
Electronic
components
and
accessories
Miscellaneous electrical
machinery
and supplies
Motor
vehicles
Truck and
bus bodies,
trailers, and
motor vehi-
cars and
trucks)
59B
59A
58
Aircraft and
parts
Other transportation
equipment
Scientific
and
controlling
instruments
Ophthalmic
and photographic
equipment
63
60
1
2
n
107
153
493
431
1
2
1
5
n
117
328
29
5
239
2
15
99
409
3
0
11
34
80
4
101
137
3
102
107
32
789
105
1
2
13
140
4
25
390
169
641
24
747
806
26
24
1,418
1
23
14
117
420
1
42
2,539
1
403
53
130
1,956
558
278
81
324
411
187
443
1,743
1
2
495
38
5
471
11
122
3
182
1
47
898
1,678
99
57
5
2
112
3
48
199
4
28
115
3
43
606
32
216
84
96
6
163
31
25
13
7
4
53
36
55
11
10
(*)
27
446
469
365
96
14
3,520
4
413
485
1
19
244
1,205
86
213
475
126
12
108
170
38
42
108
5
237
155
203
272
1,472
8,193
156
78
36
4,625
26
163
13
1,304
1,025
222
145
2,158
1
85
366
4,421
3,046
140
114
703
1
15
203
1,349
3,539
2
9,934
1,645
2,371
1,278
2,280
1,384
58
183
957
209
1,145
863
n
1,615
236
8,393
5
1,291
247
717
85
13
1,105
30
30
372
1,411
2,658
164
772
41
2,773
212
176
90
93
0
0
28
14
381
871
184
6,259
14
27
14
11
173
936
26
194
2
310
731
261
59
3,688
43
159
142
660
144
47
1,552
27
883
113
1
962
1,211
77
195
13
11
46
214
10
297
2
187
9
9
4
36
151
7
241
1
82
789
99
34
2,125
7
450
70
231
51
41
1,379
11
222
45
326
30
178
96
235
449
782
93
50
4
150
39
86
317
586
464
157
71
23
144
134
20
37
189
244
602
118
137
24
117
79
103
106
220
543
2,434
193
482
23
159
24
80
92
212
484
1,807
150
2,196
4
459
766
46
103
508
1,016
1,929
148
101
21
233
n
98
16
495
1,347
856
3,740
1.548
40,005
51
21
1,234
17
59
572
2,168
43
685
3
159
491
342
113
10.545
124
493
345
123
34
19
195
254
148
64
291
81
172
42
918
155
20,363
20,337
40,700
21,758
26,895
48,654
109,111
25,004
134,115
42,721
26,270
68,991
42,620
39,508
82,128
54
10
13
21
138
3
220
185
54
18
1,138
5
163
27
159
247
52
21
1,970
5
163
105
87
18
30
109
166
268
8,532
9,083
17,615
n
471
60
9
7
1
9
55
184
144
47
289
n
236
58
934
437
853
181
478
1,057
110
1
50
503
71
80
402
148
90
13
7
129
602
313
40
626
70
3
5
50
202
8
62
122
120
17
99
3
6
37
31
146
2
148
1
65
n
11,371
9,452
20,823
5
15,912
2"217
18
15
39
220
12
1,182
3
359
"407
312
394
32
(*)
173
62
262
343
11
145
298
1,197
158
2
18
470
574
123
3
45
126
1,444
4
194
117
1,291
1,357
20
439
1,032
1,312
1
31
402
n
99
9
29
125
72
235
18
7
155
191
757
1,295
66
206
20
7,877
217
32
n
1
6
1,573
28
2
n
2,295
29
46
85
362
16
338
2
432
186
269
5
37
115
16
101
1
42
92
191
26
28
1,328
10
50
29
758
132
98
3,212
30
452
158
122
40
35
720
6
208
50
346
9
14
14
90
194
183
37
100
12
774
72
90
100
803
1,030
2,115
308
487
87
38
9
19
117
273
489
59
72
12
155
175
24
340
"7i7
36,349
49,114
85,463
8,462
11,264
19,725
12,687
11,396
24,082
18
4
306
April 1994
SURVEY OF CURRENT BUSINESS
•
111
by Industries, 1987 Benchmark—Continued
Miscellaneous
nanufacturing
Railroads and
related services;
passenger
ground transportation
Motor freight
transportation
and
warehousing
Water transportation
Air transportation
Pipelines, freight
forwarders, and
related services
Communications,
except radio
and TV
Radio and
TV broadcasting
Electric
services
(utilities)
Gas
production
and
distribution
(utilities)
Water and
sanitary
services
Wholesale
trade
Retail trade
Finance
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
Commodity number
at producers' prices]
70A
1
1
3
3
2
20
3
3
3
(*)
5
2
3
3
6
2
4
4
9
20
6
145
82
5
24
9
878
2,816
5,741
1,966
4
15
69
1
949
1
3
1
1
58
63
163
142
1 335
5
68
1,746
4 237
2
17
4
2
20
509
2
92
2
13284
93
28
16417
17
9+10
11
4,213
65
(*)
9
1
15
(*)
19
7
7
115
86
33
438
(*)
1
128
(*)
65
470
1
279
5
7
13
15
63
95
74
4
(*)
14
9
52
67
25
268
80
7
13
3
48
18
21
56
1
14
149
17
441
4
8
O
116
35
35
29
8
154
8
6,678
1
CNJ
189
324
43
18
126
724
9
289
434
7
88
337
73
1
80
43
18
689
93
285
8,764
650
(*)
10
(*)
(*)
14
1
6
53
30
O
4
(*)
36
12
6
122
423
O
o
o
5
3,792
70
1
2
3
17
2,132
5,794
1,117
263
42
2
499
163
8,583
19
O
3
2
48
55
89
66
6
8
36
24
109
117
394
5
15
1
1
44
329
181
242
5
9
1
CNJ
g
267
44
8
(*)
195
52
4
4
CM
1
131
288
3
7
5
9
1
42
731
76
1
CNJ
1,839
144
1
37
8
83
7
o
1
76
72
3
16
178
20
1
4
1
25
124
5
26
90
291
155
1
1
148
76
26
8
20
98
573
157
1
1
12
4
43
2
2
10
116
18
12
301
7
58
27
22
4
397
12
22
1
11
55
13
36
'7
l
856
2
10
14
83
494
23
77
1
71
293
64
109
48
4
6
69
19
397
5
4
45
31
260
n
33
1
90
25
13
3336
11
12
14
11
1
16
24
78
96
31
579
206
4,158
4,821
1,086
113
926
477
33,184
99
964
43
42
570
4
100
565
4
244
14
36
1,136
51
778
46
2
22
191
11
34
62
2
210
1
190
471
24
3
33
154
4
293
4
37
211
368
50
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69E
70A
70E
71A
71B
72A
72B
73A
73E
73C
73D
74
75
726
348
238
2
17
6
6
10
16
25
108
290
25
398
5
10
36
73
14
28
4
74
66
190
387
498
967
110
23
116
413
724
3,550
408
415
336
15
191
37
498
610
360
58
159
23
129
8
14
10
43
1
1
46,665
85,706
132,371
41,224
26,325
67,549
7,477
3,786
11,262
1,501
236
240
11
238
555
246
56
34
1
1,073
1,741
2,288
33
346
123
401
470
82
231
39
124
91
8
968
133
58
62
180
56
147
135
10
n
231
251
34
2,880
4,262
115
58
7
61
3,758
130
22
26
35
17,347
15,742
33,089
16,774
26,684
43,458
51,373
64,722
116,095
16,406
7,647
24,053
41,048
35,205
76,253
10,599
15,309
25,908
66,178
94,949
161,127
15,936
13,460
29,396
503
523
699
5
8
93
26
22
346
325
19
7
1,568
81
403
710
13
9,383
2,806
1,353
936
86
50
452
440
329
644
476
271
11
1,058
1,176
n
80
38
142
89
137
134
18
54
4
1
794
14
23
270
73
1,005
166
91
342
547
1.647
1
18
140
8
37
239
98
171
20
36
218
1
2,165
883
41
3
100
507
42
268
909
508
519
79
135
474
5
301
69
36
349
172
617
34
179
589
4
480
22
n
213
952
65
CNI
54
55
33
4
130
1,342
48
1,545
1,068
3
64
6
48
66
8
1,047
410
561
1,150
5,272
56
777
33
2,087
396
5,573
4,574
5,192
3,277
1.831
9,939
1,011
1,702
311
687
104
293
9,954
1,696
1,246
4,336
23
10
764
902
135
5,778
3,679
494
532
48,309
3,280
9,905
2,978
1,761
24,309
9,486
399
4,900
20,686
8,482
5,786
9,026
1,033
33+34
35
36
37
38
39
40
41
42
43
44+45
21
22
214
1
24
291
20
445
51
1,898
1
41
165
531
7
7
22
8
37
24
20,956
1,026
62
7
1
36
9
3
27
67
286
43
9
46
47
48
49
50
51
52
53
202
371
15
2
33
9
12
71
38
87
5,812
2,110
4,401
14
312
n
2,179
1,683
1,425
38
421
717
351
596
27
262
98
4
9
217
49
121
1
2
8
1
7
8
45
2,472
2,266
236
631
39
(*)
91
242
1,789
3,230
12
421
22
8
18
7
198
3,543
1,425
33
788
200
336
189
n
1
S
61
164
109
32
22
18,968
69
29
418
80
20
43
10
1
264
122
38
82
720
47
2.322
30
14
37
65
174
155
98
20
625
29
5
5
8
1,683
3,667
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
2,112
5
5
47
1,303
242
24
31
14
332
362
20+21
22+23
832
3
304
36
73
47
4
14
9
68
94
72
142
15
234
2
364
32
5
49
15
74
118
1
11
9
2
110
15
16
17
18
19
2,759
1,174
20
489
957
19
260
71
526
86
181
27
14
15
260
253
2
973
37
130
131
26
1,731
2,948
128
12
13
338
6
1
1
2
CNJ
132
4
8
14
n
{
3,078
12
81
C\J
10
1,218
26
23
48
56
4
39
692
1
143
90
947
101
28
144
548
4
5+6
7
8
599
1,982
1,961
14,163
7,477
20,898
5,504
6,870
804
427
12,499
7,237
13,020
3,548
3,357
1,554
199
119
76
77A
424
774
1,455
7,115
42
77B
78
79
2,710
427
134
3,898
125,804
297,947
423,751
127,371
293,322
420,694
142,016
144,596
286,613
658
871
379
80
81
82
83
84
85
I
VA
T
112 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.—The Use of Commodities
[Millions of dollars
For the distribution of output of a commodity, read the row for that commodity
For the composition of inputs to an industry, read the column for that industry
Industry number
1
2
3
4
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
82
83
84
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry, and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
New construction
Maintenance and repair construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning andtoiletpreparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery, except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
Electric lighting and wiring equipment
Audio, video, and communication equipment
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers, and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing
VVater transportation
Air transportation
Pipelines, freight forwarders, and related services
Communications, except radio and TV
Radio and TV broadcasting
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services, except medical
Advertising
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
Noncomparable imports
Scrap, used and secondhand goods
General government industry
Rest of the world adjustment to final uses
Household industry
Inventory valuation adjustment
Total intermediate inputs
Value added
Total Industry output
•Less than $500,000.
Insurance
Owneroccupied
dwellings
Real estate
and royalties
Hotels and
lodging
places
Personal
and repair
services
(except
auto)
Computer
and data
processing
services
Legal, engineering,
accounting,
and related
services
professional
services, except
medical
70B
71A
71B
72A
72B
73A
73B
73C
19
2,584
"'2I62
i
15,921
21,677
,
Other business
and
Advertising
73D
2
3
1
217
,
517
n
n
1,483
()
*
104
646
165
20
1
15
339
359
25
1
304
22
22
689
234
n
1
313
7
2
n
,
5
34
2
452
22
16
1,284
24
111
143
1
24
1,389
5
97
531
5
n
36
73
295
6
34
332
5
212
242
540
10
9
31
2
242
772
9
479
30
1
9
1
365
11
17
2,067
3
1
31
3
639
36
31
1,518
14
1,466
205
140
1
7
77
10
28
3
898
34
78
2,955
774
291
34
898
1
310
1,107
691
246
4
29
37
121
991
4
3
1
1
458
282
37
34
1
4
47
717
137
690
1,753
20
181
60
18
246
100
61
184
16
0
5
972
44
259
6
11
1,746
441
66
17
15
339
178
13
1
195
n
(*)
6
7
123
4
24
8
170
42
4,830
1,047
192
1,153
2,823
1,963
2,025
2,856
799
66
.
48
3
91
134
445
595
14
424
115
1,539
12,218
1,657
1,347
25
618
46,111
279,033
325,144
6
34
18
116
106
173
10
46
49
587
26
600
1,412
78
303
21
187
4
37
29
25
62
113
4
551
3
1,571
718
378
130
224
22
1,673
10
2,204
264
136
1,397
353
366
683
126
3,276
15
3,403
308
60
75
493
229
6,294
6,322
1,278
604
372
558
50
1,931
47
1,192
476
144
1,517
83
844
72
295
39
14
904
41
543
36
467
85
169
1,199
223
1,412
316
1,274
418
84
3,037
258
2,512
748
2
10
20
28
37
2
43
1
210
453
43
10
3
70
18
154
19
32,320
910
763
74
2,190
7,363
6,263
3,338
1,381
72
1,523
28
684
18
630
2,690
658
50
541
17
3,767
84
1,436
356
2,765
2,246
1,492
462
870
19
2,051
87
56
7,058
491
1,674
533
473
464
11
8,826
3,128
557
8,284
15,381
16,011
493
1,142
2,717
121
6,374
1,050
277
6,035
5,285
14,020
2,320
2,537
2,412
152
1,069
191
46
21
200
437
92
199
318
123
194
467
11
56
144
256
1,619
9,705
63
86,428
86,422
172,850
53
464
157
39
658
27
24
1,608
138
2
5
254
141
325
406
7
502
69
2,405
98
4
298
277
46
5,832
54,111
.
152
214
101
510
258
584
274
724
262
354
253
559
29
180
95
3,335
636
26
15
26
130
189
233
60
305
122
10
344
259
20
179
921
1,357
114
465
1,339
1,559
118
928
99,839
280,436
380,275
18,787
22,211
40,997
32,319
33,983
66,302
25,051
35,770
60,821
73,250
104,682
177,931
82,309
138,418
220,728
4,941
10,942
15,884
April 1994
SURVEY OF CURRENT BUSINESS
• 113
by Industries, 1987 Benchmark—Continued
Automotive
repair and
services
Amusements
services
74
75
76
Educational
and social
services, and
membership
organizations
77A
State and local
government
enterprises
General
government
industry
Household
industry
Inventory
valuation
adjustment
78
79
82
84
85
391
20
62
83
4
1,446
1,673
9
16
8
4
571
121
26
158
95
31
485
14
16
3
125
en
Health
Federal
Government
enterprises
77B
Eating and
drinking
places
6
2
6
8
1,061
1,062
654
1,017
(*)
2,742
2
3,035
7,154
5
2,970
571
(*)
3
81465
59,031
10,351
21,754
7 268
21,498
97 326
11,974
1
25
Personal
consumption
expenditures
Gross private
fixed
investment
Change in
business
inventories
91
Total
intermediate
use
92
93
1,836
47,037
7
25
16
169
655
46
10
243
69
200
1
1,529
120
578
9,745
226
62
4
1
78
27
0
735
869
6
294
62
117
128
1,461
66
339
37
1
21
0
9
1
189
16
43
80
58
10
785
3,663
1,331
5
847
37
n
11
3
104
386
53
3
2
1
28
6,464
839
127
189
39
984
1,035
36
252
5
18
(*)
4
14
16
374
776
46
4
1,542
124
180
2,619
6,516
11
69
9
138
91
209
10
152
6
28
387
167
9
393
922
7,834
12
789
289
5
32
15
3
383
8
S
641
49
14
3
1
10
30
6
50
n
6
162
1,137
119
3
52
1
4,249
115
2
9
142
n
4
9
52
1
53
92
115
3
15
1
87
7
3,331
4,815
245
18
13
53
1,252
11
675
173
955
181
30
59
124,100
1 304
125,260
3 664
35123
8,549
14,438
9,369
68,635
3 867
69,529
24,501
2 547
49,322
79,565
12,543
39,534
11,676
6,952
11 365
70,488
78,219
3,578
15,366
43,245
74,182
57 761
11 619
39,226
29,847
43,780
8 316
6,177
2,749
10,100
3,126
14,038
14,927
15,346
12,881
17,719
2,743
15,549
10,561
42,174
12,838
2,370
61,127
22 583
2,763
17,485
7,770
9,277
27,231
80,137
8,029
36,314
18,525
81,923
924
79,596
55,987
12,350
210,780
37,597
121,959
93,582
244
176
1
1
2
167
289
90
8
3
31
61
(*)
11
1
18
1
1
14
7
55
(*)
1
66
4
7
8
3
1
19
43
9
1
8
308
7
22
32
107
11
8
13
202
122
190
211
4
6
15
17
14
3
22
2
3
26
6
6
13
429
2
19
504
50
105
1
39
4
532
36
310
167
38
113
23
9,976
10
108
119
267
194
34
103
5
10
33
129
7
293
385
1,541
62
171
2
804
36
41
47
294
802
112
486
92
1,021
13
186
183
93
188
41
234
2
658
6,698
683
261
337
842
84
955
20
2,774
124
498
767
237
791
41
2,603
22
1,762
4
13
53
724
1,616
77
926
10
146
17
15
43
440
309
200
98
75
234
4,445
364
329
9,302
27
2,236
33
1,006
520
82
4,700
4,855
4,201
2,263
1,100
220
125
498
45
718
77
3,172
1,499
289
6,618
288
1,449
1,223
2,038
964
255
2,462
131
2,085
715
281
83
83
376
10
45
43
4,483
3,082
303
1,566
23
403
492
8,898
28
569
216
2,226
4,140
4,629
790
404
965
4,643
153
1,790
18
764
4,027
1,517
865
2,503
18
4,145
230
412
327
2,138
3,869
2,605
578
476
15,940
16,283
1,052
409
1,402
2,319
5,121
3,256
1,163
1,300
969
529
26
9
30
79
451
686
51
17
260
2,202
856
104
113
180
4
299
118
187
73
168
528
374
12
169
379
365
85
154
21,791
466
986
4,764
2,169
9,636
912
1,939
3,374
87
6,761
718
1,866
226
45
446
355
2,088
227
855
13
381
25
1,085
77
520
38
81
70
19
84
1,100
-1,758
358,627
17,300
198
457
138
36
1,099
201,153
20 774
1,047
4,992
71,153
10,088
1,820
19,469
11,902
292
11,741
10,923
978
784
23,958
25,019
194
60,189
11,669
13,619
1,518
2,705
11
72
599
2,369
3,920
15,467
795
155
13
36
525
1,464
3,600
461
248
583
176
117
3,290
883
161
11,997
2,278
18,387
263
5,277
101,875
3,133
316
11,043
4,456
4,625
27,179
13,080
20,258
4,177
31,439
2,553
61,963
1 326
63,318
25,544
14,864
111,741
373,725
135,789
81,638
2,811
1,945
2,302
16,909
5,032
13,439
15,053
11,072
747
33,476
7,186
5,878
2,657
435
21,728
2,755
62,933
6,591
8,843
3,183
33,814
5,653
3,876
827
2,343
167
819
412
1,446
333
1,157
596
916
127
449
1,188
515
138
502
1,199
558
197
3,001
1,292
467
179
606
1,204
864
24
557
237
604
208
333
42
50
198
153
101
331
306
110
3
608
446
787
361
8,115
1,745
2,132
1,070
1,285
398
2,181
553
755
49
97
39
4,389
39,161
11,178
4,929
23,701
10
7,509
39
59
7
-24,960
85
1,969
-31,136
7 709
-17,817
100,603
108,791
209,394
68,309
62,395
130,704
40,640
37,552
78,192
119,710
218,801
338,511
80.088
72,590
152,678
11,636
33,760
45,396
41,734
27,750
69,484
3,602,186
466,785
466,785
7,709
7,709
-17,817
-17,817
3,072,252
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71 A
A A A
122,178
20,180
48,030
855
31,456
12,602
661
169,638
67,684
47,411
363,015
148,974
6,430
14,152
29,295
13,705
1
2
3
4
5+6
7
8
9+10
11
1,771
242
21
OftC
225,105
18,052
17,186
53,578
127,255
165,951
107,841
43,381
61,098
30,722
7,505
12,086
24,980
4,424
39,151
6.460
-719
-4,261
101
3,090
15,682
3,763
647
44
16,093
1
Commodity number
at producers' prices]
732,891
28,037
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
80
81
83
84
85
i
VA
T
114 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.1.—The Use of Commodities by Industries, 1987 Benchmark—Continued
[Millions of dollars at producers' prices]
For the distribution of output of a commodity, read the row for that commodity
For the composition of inputs to an industry, read the column for that industry
Industry number
1 Livestock and livestock products
2 Other agricultural products
3 Forestry and fishery products
4 Agricultural, forestry, and fishery services
,
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
New construction
Maintenance and repair construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
49 General industrial machinery and equipment
50 Miscellaneous machinery, except electrical
51 Computer and office equipment
52 Service industry machinery
53 Electrical industrial equipment and apparatus
54 Household appliances
55 Electric lighting and wiring equipment
56 Audio, video, and communication equipment
57 Electronic components and accessories
58 Miscellaneous electrical machinery and supplies
59A Motor vehicles (passenger cars and trucks)
59B Truck and bus bodies, trailers, and motor vehicles parts
60 Aircraft and parts
61 Other transportation equipment
62 Scientific and controlling instruments
63 Ophthalmic and photographic equipment
64 Miscellaneous manufacturing
65A Railroads and related services; passenger ground transportation ,
65B Motor freight transportation and warehousing
65C Water transportation
65D Air transportation
65E Pipelines, freight forwarders, and related services
66 Communications, except radio and TV
67 Radio and TV broadcasting
68A Electric services (utilities)
68B Gas production and distribution (utilities)
68C Water and sanitary services
,
69A Wholesale trade
69B Retail trade
70A Finance
70B Insurance
71A Owner-occupied dwellings
71B Real estate and royalties
72A Hotels and lodging places
72B Personal and repair services (except auto)
73A Computer and data processing services
73B Legal, engineering, accounting, and related services
73C Other business and professional services, except medical
73D Advertising
74 Eating and drinking places
75 Automotive repair and services
76 Amusements
77A Heaith services
77B Educational and social services, and membership organizations .,
78 Federal Government enterprises
79 State and local government enterprises
80 Noncomparable imports
81 Scrap, used and secondhand goods
82 General government industry
83 Rest of the world adjustment to final uses
84 Household industry
85 Inventory valuation adjustment
I Total intermediate inputs
,
VA Value added
T Total Industry output
5+6
7
8
9+10
11
12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
'Less than $500,000.
State and local government
purchases
Federal Government purchases
Exports of
goods and
services
Imports of
goods and
services
94
95
485
12,747
544
122
559
2,663
1,494
633
15
81
2,725
12,111
2,591
1,407
782
1,197
362
3,645
684
5,922
262
555
1,062
14,630
542
5,364
2,959
983
342
6,128
3,233
666
777
1,019
1,407
3,303
166
869
2,123
2,634
2,899
6,063
540
2,335
2,696
4,182
1,660
13,167
1,217
1,847
943
1,358
4,137
12,596
2,404
12,918
10,874
22,891
1,278
10,311
2,224
2,831
3,377
4,606
-808
-2,353
-3,747
-16
-1,349
-65
-28,965
-734
-467
-18,538
-879
-3,601
-919
-25,395
-1,772
-6,399
-5,287
-9,914
-126
-226
-1,335
-10,727
-990
-2,009
-7,590
-1,281
-214
-13,332
-9,702
-9.700
-1,837
-4,513
-10,824
-6,992
-155
-961
-2,261
-6,573
-2,102
-5,402
-1,321
-4,911
-4,993
-6,947
-604
-17,329
-1,504
-3,346
-2,950
-3,341
-20,190
-13,704
-4,511
-61,157
-16,950
-6,875
-2,937
-9,990
-5,696
-15,769
-135
3,264
-5,711
134
161
37
26,294
85
12,598
2,906
-986
-1,763
4,267
GDP
Total
Education
Other
Total
commodity
output
97
7,512
11,216
1,958
2,496
10,830
49
31
928
2,398
1,546
475
271
31
1,222
16
144
169
Total
Nondefense
National
defense
15,533
-161
-3,078
-104
-391
-740
-253
-64
-9
-78,696
-2,068
"31.663
12
750
-1,112
121
-141
86
-173
2
15,550
6,258
22,745
2,025
38
-142
56
5
-2
7,495
4,358
20,365
189
115
30
567
185
45
129
366
74
153
1,097
1,893
25
13
795
202
6
3,193
636
50
59
108
151
644
57
658
138
481
2,045
321
321
220
82
560
2,657
4,168
123
636
42
62
5,265
5,912
1,671
740
1,093
34,512
7,160
25,249
1,129
-424
810
5,150
834
2,837
80
3,853
105
3
566
140
32
39
124
42
15
428
1,793
9
13
472
160
1
2,649
480
47
22
51
78
395
57
491
110
407
1,879
303
312
180
76
542
2,573
3,493
101
467
38
41
4,964
5,884
1,577
609
1,050
33,306
6.754
23,710
704
123
320
2,729
697
2,159
42
1,954
2,671
579
236
5,860
114
1,400
1,746
1,734
465
184
5,039
92
1,243
947
125
4,133
8,099
20,907
85
1,139
185
1,001
613
7,326
409
111
10,116
675
150,627
-517
547
692
65
2,833
7,561
15,944
79
371
94
823
-352
1,127
312
80
8,673
-104
108,244
-161
36
10
750
-1,112
84
1
29
-177
4
8,055
1,900
2,380
1,836
84
587
-413
1,040
30
220
6
284
54
368
-419
756
32
1
1
168
28
75
167
18
9
40
6
18
84
675
21
168
4
21
301
28
95
131
43
1,206
405
1,540
425
-547
490
2,421
137
678
38
1,899
-19
71,111
25,728
117
5,854
-11
142
51
853
441
113
1,775
2,240
158
456
4,870
2,203
324
2
2,865
439
294
7,931
1,348
106
273
170
57
58
7
1
277
550
265
1,358
13
236
74
162
251
1.982
655
273
235
472
703
174
191
5,714
716
20
515
3,249
2,604
1,932
2,653
1,944
167
2,048
146
5,540
-19
61,020
19,816
116
2,114
-10
84
43
838
347
55
784
1,057
125
154
1,466
1,635
213
1
2,778
321
66
4,142
1,260
105
207
104
51
54
3
1
61
373
265
1,274
9
102
5
162
135
786
179
132
134
189
368
94
120
4,426
422
20
411
2,732
1.589
747
397
1.048
133
1,093
106
3,021
937
114
53
821
22
1,400
1,710
11,720
1,672
983
9,454
263
9,366
827
4,541
685
1,018
3,940
-41
666
7,180
987
-35
5,514
304
9,366
161
6,563
836
898
5,248
1,656
11,433
597
-3,409
2,223
-1,452
-32,757
-16.252
1,482
359
49
2^72
316,158
713
-1,237
301
1,402
1,729
4,136
416
-5,546
823
189
-10
-15,934
128
171
43
683
173,286
5,850
2,073
597
3,845
-73
7,298
181
2.138
1,400
-1,641
-32,747
-318
1,354
187
6
1,589
142,873
10
27
1
45
13
90
243
31
138
669
100
15
1
324
42
5
545
157
4
37
57
72
250
254
60
1,300
538
4,963
5
768
92
179
965
6,199
97
31
1,443
778
42,383
-356
10,091
5,912
1
3,739
-1
58
8
15
95
59
992
1,183
32
302
3,403
567
111
1
86
119
228
3,789
88
n
66
66
6
4
4
216
177
84
4
134
69
n
116
1,196
476
140
101
284
335
81
71
1,288
294
103
517
1,015
1,184
2,256
897
35
956
40
2,519
2,144
23,152
-864
1,914
-466
3,953
-29,318
-90
445,303
49,367
26,873
204,376
22,717
-291
7,717
49,821
9,637
4,301
32,833
11,432
786
13,128
17,804
10,286
823
3,872
24,186
25,920
818
67,111
8,631
5,209
968
95
-7,982
-2,014
120
4,460
1,978
3,241
6,078
19,829
4,627
11,951
13,285
9,163
4,929
39,085
8,865
5,557
12,927
1,871
30,476
6,029
8,149
131,139
7,200
61,838
21,311
68,373
10,937
21,805
21,164
35,056
16,169
42,745
4,776
78,241
1,326
76,857
26,192
16,120
212,971
385,364
168,991
84,039
325.144
164,515
22,012
49,085
11.110
50,727
45.807
1,564
167,639
70,129
48,119
330,888
140,184
8,490
14,621
-39,151
-4,139
466,785
7,709
-17,817
83,609
82,183
9.488
23,668
6.802
25.451
68.008
11,884
445,347
173,466
28,177
329,636
26.381
34,832
16,266
64,259
19,006
72,936
36,700
80,961
25,288
15,674
67,126
89,852
13,365
43,407
35,862
32,872
12,183
137,599
86,851
8,787
16,335
43,340
66,201
55,746
11,739
43,686
31,826
47,022
14,394
26,005
7,376
22,051
16,411
23,221
19,855
54,431
21,746
23,277
15,670
17,421
41,037
48,203
20,987
133,509
68,327
84,421
24,074
85,858
18,707
31,083
48,394
115,194
24,198
79,060
23,301
160,164
2,250
156.453
82,180
28,469
423,751
422,960
280,950
177,621
325,144
389,620
40,064
66,271
64,687
177,982
211,758
109,406
211,021
131,228
78,841
338,393
152,270
33,469
19,045
2"321
466.785
7,709
-17,817
4,572,829
348,572
-490,442
384,927
292,052
92,875
496,592
218,272
278,320
8,175,016
April 1994
SURVEY OF CURRENT BUSINESS
Table 2.2.—Input Components of Total Industry Output, 1987 Benchmark
[Millions of dollars at producers' prices]
Industry
number
Total
1
2
3
4
5+6
7
8
9+10
11+12
13
14
15
16
17
18
19
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
31
32
33+34
35
36
37
38
39
40
41
42
43
44+45
46
47
48
49
50
51
52
53
54
55
56
57
58
59A
59B
60
61
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
69B
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
4
Livestock and livestock products
Other agricultural products
Forestry and fishery products
Agricultural, forestry, and fishery services
Metallic ores mining
Coal mining
Crude petroleum and natural gas
Nonmetallic minerals mining
Construction
Ordnance and accessories
Food and kindred products
Tobacco products
Broad and narrow fabrics, yarn and thread mills
Miscellaneous textile goods and floor coverings
Apparel
Miscellaneous fabricated textile products
Lumber and wood products
Furniture and fixtures
Paper and allied products, except containers
Paperboard containers and boxes
Newspapers and periodicals
Other printing and publishing
Industrial and other chemicals
Agricultural fertilizers and chemicals
Plastics and synthetic materials
Drugs
,
Cleaning and toilet preparations
Paints and allied products
Petroleum refining and related products
Rubber and miscellaneous plastics products
Footwear, leather, and leather products
Glass and glass products
Stone and clay products
Primary iron and steel manufacturing
Primary nonferrous metals manufacturing
Metal containers
Heating, plumbing, and fabricated structural metal products
Screw machine products and stampings
Other fabricated metal products
Engines and turbines
Farm, construction, and mining machinery
Materials handling machinery and equipment
Metalworking machinery and equipment
Special industry machinery and equipment
General industrial machinery and equipment
Miscellaneous machinery, except electrical
Computer and office equipment
Service industry machinery
Electrical industrial equipment and apparatus
Household appliances
Electric lighting and wiring equipment
Audio, video, and communication equipment
,
Electronic components and accessories
Miscellaneous electrical machinery and supplies
Motor vehicles (passenger cars and trucks)
Truck and bus bodies, trailers, and motor vehicles parts
Aircraft and parts
Other transportation equipment
Scientific and controlling instruments
Ophthalmic and photographic equipment
Miscellaneous manufacturing
Railroads and related services; passenger ground transportation
Motor freight transportation and warehousing
VVater transportation
,
Air transportation
,
Pipelines, freight forwarders, and related services
Communications, except radio and TV
Radio and TV broadcasting
,
Electric services (utilities)
Gas production and distribution (utilities)
Water and sanitary services
,
Wholesale trade
Retail trade
Finance
Insurance
Owner-occupied dwellings
Real estate and royalties
Hotels and lodging places
Personal and repair services (except auto)
Computer and data processing services
Legal, engineering, accounting, and related services
Other business and professional services, except medical
Advertising
,
Eating and drinking places
Automotive repair and services
Amusements
Health services
Educational and social services, and membership organizations
Federal Government enterprises
State and local government enterprises
General government industry
Household industry
Inventory valuation adjustment
Total
Less than $500,000.
15,074
46,721
3,708
9 948
3,476
15,488
55,484
8,213
291,000
18,928
100,498
16.795
12,140
4,354
27,003
6,915
25,923
17,259
34,278
8,806
29,037
45,145
37,277
3,364
14,365
22,172
17,646
5,568
24,258
37,624
3.681
8,210
20,563
25,370
14,213
3,421
19,001
14,187
22,269
6,226
11,852
3,309
12,470
8,595
12,400
11,839
24,195
10,422
11,609
6,594
9,083
20,337
26,895
9,452
25.004
26,270
39,508
11,396
49,114
11,264
15,742
26,684
64,722
7,647
35,205
15,309
94,949
13,460
85,706
26,325
3,786
297,947
293,322
144,596
86.422
279 033
280,436
22,211
33,983
35,770
104,682
138,418
10,942
108,791
62,395
37,552
218,801
72,590
33,760
27,750
466 785
7,709
-17 817
4,572,829
Value added
Compensation of Indirect business
tax and nontax
employees
liability
3,284
5,619
779
9 941
1.836
8,383
11,699
4,008
189,998
12,370
43,805
2,853
8,413
2,729
17,503
4,048
16,168
11,412
16,521
6,370
15,391
27,499
15,582
1,950
6,560
8,292
5,308
2,505
6,857
23,433
2,362
4,875
11,952
17,894
10,442
2,019
12,772
11,245
14,716
3,973
7,478
2,409
9,843
6,147
8,544
9,391
13,585
6,580
7,919
3,660
5,249
11,363
18,527
6,579
15,227
19,067
30,002
8,713
33,494
4,276
8,637
18,648
40,701
5,732
23,231
7,945
36,761
9,886
19,453
8,626
3,510
174,697
187,889
109,452
62.328
27,230
10,663
21,130
25,443
79,014
92,121
7,404
81,909
28,995
24,710
178,143
68,100
31,077
19,296
466 785
7,709
2,698,657
Other value
added
Total intermediate
inputs
26
10,700
38,566
2,771
7
1,139
5,072
39,847
3,518
96,515
6,323
49,468
9,242
3,491
1,523
9,262
2,784
8,503
5,617
16,412
2,231
13,392
16,689
19,871
1,188
7.040
13,728
12,155
3,031
6.812
12.519
132
3,117
7,807
6,293
3,182
1,318
5,737
2,430
7,053
2,077
3,925
835
2,353
2,285
3.595
2,198
10,170
3,691
3,447
2,807
3,675
8,596
7,517
2,639
7,669
5,607
8,892
2,566
14,665
6,768
6,796
6,456
20,938
1,229
6,225
6,722
46,278
2,975
57,012
14,548
-309
65,525
52,360
26.827
11,666
228 062
199,979
7.850
11,666
9,673
24,850
42,345
3,412
17,276
29,099
9,986
38,757
4,072
2 683
8,428
72,410
40,021
3,748
12 253
3,331
9,964
28,744
4,751
327,813
12,510
225,473
9,588
26,104
11,628
37,181
10,072
46,952
19,518
47,704
16.705
20.689
42,232
47.098
10,148
26,308
13,840
15,583
6,504
113,613
47,948
5,018
7,875
23,169
42,721
42,163
8,483
24.930
17,787
22,155
7,870
14,902
3,884
8,756
7,659
10,836
8,164
31,625
11,987
11,056
8.767
8,532
20,363
21,758
11.371
109,111
42,721
42,620
12,687
36,349
8,462
17,347
16,774
51,373
16,406
41,048
10,599
66,178
15,936
46,665
41,224
7,477
125,804
127,371
142,016
86,428
46 111
99i839
18,787
32,319
25,051
73,250
82,309
4,941
100,603
68,309
40.640
119,710
80,088
11 636
41,734
364,986
-17 817
1,509^ 186
3,602,186
1,091
2,536
158
51
0
2,033
3,939
688
4.487
235
7,225
4,701
235
102
239
83
1,251
230
1,345
205
255
957
1,824
226
766
152
184
32
10,590
1,672
28
218
803
1,183
590
85
492
512
51
0
175
449
66
275
13
6
262
250
440
11
5
243
127
18
5
358
852
235
2,108
1,597
614
17
1
955
220
39
0
1,581
3,083
687
5,749
642
11,910
600
9,242
3,151
584
57,724
53,073
8,317
12,429
50,971
53,227
3,698
1,187
655
818
3,952
16
2
9,606
4,301
2,857
1,901
418
Total industry
output
87,484
86,742
7,456
22 201
6,807
25.452
84,228
12,964
618,813
31,438
325,972
26,383
38,244
15,982
64,184
16.987
72,875
36,777
81.982
25.511
49,727
87,378
84,375
13.512
40,672
36,012
33,229
12,072
137,871
85,572
8,700
16,085
43,732
68,091
56,376
11,904
43,930
31,973
44,424
14,096
26,753
7.194
21,227
16.254
23,236
20,003
55.819
22,409
22,665
15,361
17,615
40,700
48,654
20,823
134,115
68,991
82,128
24,082
85,463
19,725
33,089
43,458
116,095
24,053
76,253
25,908
161,127
29,396
132,371
67,549
11,262
423,751
420,694
286,613
172,850
325 144
380,275
40,997
66,302
60,821
177,931
220,728
15,884
209,394
130,704
78,192
338,511
152,678
45396
69,484
466,785
7,709
-17 817
8,175|016
Industry
number
1
2
3
4
5+6
7
8
9+10
11+12
1
3
14
1
5
1
6
1
7
1
8
1
9
20+21
22+23
24
25
26A
26B
27A
27B
28
29A
29B
30
3
1
32
33+34
35
36
37
38
39
40
4
1
42
43
44+45
46
47
48
49
50
5
1
52
53
54
55
56
57
58
59A
59B
60
6
1
62
63
64
65A
65B
65C
65D
65E
66
67
68A
68B
68C
69A
70A
70B
71A
71B
72A
72B
73A
73B
73C
73D
74
75
76
77A
77B
78
79
82
84
85
T
SURVEY OF CURRENT BUSINESS
April 1994
117
Total and Per Capita Personal Income
by State and Region
This article was
written by Howard
L. Friedenberg and
Duke D. Tran. The
estimates of State
personal income,
as well as the
section on the
revisions, were
prepared by the
Regional Economic
Measurement
Division.
presents preliminary fourth± quarter and year 1993 estimates of total
personal income for States, regions, and the
United States and preliminary 1993 estimates of
per capita personal income. In addition, the
article includes revised annual State estimates
for 1988-92 and revised quarterly estimates for
ARTICLE
1990:1-1993:111.
The first section of this article looks at the preliminary estimates of total State personal income,
and the second section discusses the preliminary
estimates of per capita State personal income.
The last section contains information about the
revised estimates. Tables 1-4, at the end of the
article, present the preliminary and revised estimates: Tables 1 and 2 contain the quarterly
estimates of total and nonfarm State personal
income for 1990-93, and tables 3 and 4 contain the annual estimates of total and per capita
State personal income for 1988-93. Table 5
presents percent changes in earnings for selected
industries for 1993.
pickup was mainly in farm income, which increased substantially in the fourth quarter after
having declined in the third quarter as a result
of the floods in the Midwest, lower farm subsidy
payments, and the drought in the Southeast.
In the fourth quarter, the five States with the
fastest growth in personal income were North
Dakota, Iowa, South Dakota, Nebraska, and
Minnesota. In these States, personal income rebounded sharply after having declined in the
third quarter as a result of the crop damage and
uninsured losses to property due to the floods
and of lower farm subsidy payments.
In 1993 as a whole, personal income in the
Nation increased 4.7 percent after increasing 6.1
percent in 1992. The slowdown mainly reflected
the effect on personal income of payments of
bonuses in a number of industries in late 1992
that typically would have been paid in early 1993.
If the timing of the bonus payments had been
typical, personal income in the Nation would
have increased 5.5 percent in 1993 and 5.7 percent
in 1992.
Total Personal Income
Per Capita Personal Income
Total personal income in the Nation increased
1.8 percent in the fourth quarter of 1993 after increasing 0.8 percent in the third quarter.1 The
1. In this article, these percent changes are not at annual rates.
Per capita personal income in the Nation increased 3.5 percent in 1993 after increasing 4.9
percent in 1992. The slowdown mainly reflected
the effect on personal income of the change in the
BEA Estimates of Wages and Salaries for 1993
The annual change from 1992 to 1993 in the national totals of the preliminary State estimates of
wages and salaries is the same as the change in
the national income and product accounts (NIPA) estimates of wage and salary disbursements that appear in this issue.
This year, the national totals
for both the NIPA and the State estimates are based
primarily on monthly national data on employment,
hours, and earnings from the Bureau of Labor Statistics (BLS) establishment survey; in some years, such
as last year, the national totals for the preliminary
State estimates presented in April have instead been
based primarily on BLS tabulations of wages and
salaries of employees covered by unemployment insurance for the first three quarters and on a BEA
estimate for the fourth quarter. The unemployment
insurance data are used instead of the monthly establishment data when there are significant differences between
the two series. In July, both the NIPA and the State
estimates for 1993 will be revised to incorporate the unemployment insurance tabulations for all four quarters
of 1993.
1. The monthly establishment survey covers total employment and
the average weekly hours and average hourly earnings of production and
nonsupervisory workers. The unemployment insurance tabulations are
compiled from reports that are filed quarterly by all employers covered by
State unemployment insurance laws and by the unemployment compensation program for Federal employees. (For a more detailed discussion of
these two data series and their use by BEA, see "State Estimates of Wages
and Salaries: A Methodological Update" in the October 1989 SURVEY OF
CURRENT BUSINESS.)
Il8 • April
SURVEY OF CURRENT BUSINESS
timing of bonus payments. If the timing had not
changed, per capita income would have increased
4.3 percent in 1993 and 4.5 percent in 1992.
The increases in per capita personal income
for the Nation have exceeded the increases in
U.S. prices (as measured by the fixed-weighted
price index for personal consumption expenditures) for 2 consecutive years. In 1993, prices
increased 3.0 percent, and in 1992, they had increased 3.7 percent. By State, increases in per
capita income in 1993 exceeded 3.0 percent in all
except eight States.
Fastest growing States
In 1993, increases in per capita personal income
in the 12 fastest growing States ranged from 6.7
percent in Montana to 4.5 percent in Oregon
(table A and chart 1). All of these States had
above-average growth in personal income, and
all except Louisiana and Indiana had average
or above-average growth in population. All of
these States except Florida, Hawaii, and Nevada
had per capita income below the U.S. average of
$20,817 m *993In Montana, Idaho, Mississippi, New Mexico,
Nevada, Wyoming, North Carolina, and Oregon,
personal income growth was boosted by aboveaverage increases in earnings in nondurables
manufacturing, in retail trade, in the financeinsurance-real estate group, and in government
(table B).2
In addition, most of these States had aboveaverage increases in earnings in the other major
nonfarm industries. In Mississippi, large increases in earnings in construction and in services
reflected the growth of gaming establishments. In
Montana and Idaho, personal income growth was
2. Earnings is the sum of wage and salary disbursements, other labor
income, and proprietors' income.
Per Capita Personal Income: Percent Change, 1992-93
UNITED STATES 3.5%
Fastest growing States
Slowest growing States
All other States
U.S. Department of Commerce, Bureau of Economic Analysis
April 1994
SURVEY OF CURRENT BUSINESS
boosted substantially by large increases in farm
income.
In Florida and Hawaii, personal income growth
rebounded from the effects in 1992 of Hurricanes Andrew in Florida and Iniki in Hawaii.
Construction earnings rebounded substantially in
Florida and moderately in Hawaii.
In Louisiana and Indiana, increases in earnings
were above average in trade, in the financeinsurance-real estate group, and in government.
In addition, Louisiana had above-average inTable A.—Per Capita Personal Income for Selected
States and the United States, 1992-93
Percent change
Per
capita
personal income
Rank
Personal income
Total
Farm
6.7
6.0
5.8
5.8
5.4
5.2
5.0
4.9
4.7
4.6
4.6
4.5
9.0
9.3
7.4
6.9
7.7
6.6
9.1
6.1
6.4
5.0
5.6
6.6
91.5
3.5
2.8
2.7
2.7
2.6
2.6
2.2
2.2
.2
Nonfarm
Population
Fastest growing States:
Montana
Idaho
Florida
Mississippi
New Mexico
Hawaii
Nevada
Wyoming
North Carolina
Louisiana
Indiana
Oregon
United States
3.9
25.4
13.9
79.5
16.8
6.6
-18.0
18.0
31.8
6.3
7.6
7.4
6.9
7.4
6.6
8.9
5.8
6.4
5.2
5.5
6.3
2.1
3.1
1.5
1.1
2.2
1.4
3.9
1.2
1.6
.4
1.0
2.0
4.7
-2.5
4.8
1.1
5.1
3.9
3.7
3.5
2.7
3.3
2.7
.6
31.1
-80.0
-22.0
-61.0
-25.2
13.1
-14.1
-86.2
4.7
5.2
6.7
4.0
5.5
3.2
2.7
4.7
2.2
1.1
1.0
.8
.1
1.0
.5
.4
40.9
-.2
Slowest growing States:
Washington
Minnesota
South Dakota
Missouri
North Dakota
California
New York
Iowa
creases in earnings in nondurables manufacturing
and in mining, and Indiana had above-average
increases in earnings in durables manufacturing,
in construction, and in services.
Slowest growing States
In 1993, increases in per capita personal income
in the eight slowest growing States ranged from
0.2 percent in Iowa to 2.8 percent in Washington.
All of these States except Washington had belowaverage growth in personal income and average
or below-average growth in population. California's population growth was below average for
the first time since 1948.
In Iowa, North Dakota, Missouri, South
Dakota, and Minnesota, personal income growth
was slowed by large declines in farm income as a
result of the Midwest floods in the third quarter.
The slowdown occurred despite rebounds in the
fourth quarter.
In New York, California, and Washington,
earnings in durables manufacturing declined,
and earnings in construction either increased at
below-average rates or declined. The declines in
earnings in durables manufacturing in California
and Washington, which were larger than those
in any of the other States, reflected job cutbacks
in the aircraft industry. In addition, California
and New York had either declines or increases
in earnings in most of the other major nonfarm
industries. In New York, a large decline in earnings in the finance-insurance-real estate group
reflected the atypical timing of bonus payments
in the securities industry.
Table B.—Percent Change in Earnings for Selected States and the United States, 1992-93
Durables
manufacturing
Rank
Nondurables manufacturing
Construction
Mining
Transportation and
public
utilities
Wholesale trade
Retail
trade
Finance,
insurance,
and real
estate
Services
Government
Fastest growing States:
Montana
Idaho
Florida
Mississippi
New Mexico
Hawaii
Nevada
Wyoming
North Carolina
Louisiana
Indiana
Oregon
United States
2.4
10.1
-1.1
4.2
5.4
1.6
0
-.1
5.2
-1
4.9
2.2
5.6
3.8
.2
1.9
6.4
-5.1
8.4
6.1
1.9
1.8
1.0
1.9
4.7
12.8
12.5
18.6
20.5
6.9
27.4
7.1
13.7
4.1
.7
-5.8
2.8
11.1
-1.8
7.6
-5.0
-3.3
3.2
8.1
11.0
2.1
-2.3
-.7
4.8
9.9
2.4
4.5
7.3
7.9
3.8
-5.3
12.4
4.8
6.7
6.2
3.8
4.9
-.8
8.2
4.3
4.6
2.8
4.3
4.8
7.4
6.3
6.6
6.7
6.5
4.0
2.7
1.0
6.0
4.5
7.3
5.7
5.6
11.1
6.4
7.1
9.2
5.3
6.8
5.9
5.8
4.8
5.5
7.1
6.5
8.4
4.3
4.1
8.4
8.7
11.5
12.8
6.0
3.9
4.2
9.7
9.6
9.5
15.3
9.6
5.2
10.2
7.1
10.0
7.2
7.8
8.7
7.5
6.7
7.7
6.9
5.6
4.1
7.3
4.9
6.8
5.3
4.9
6.5
1.0
7.4
1.4
4.4
4.0
4.6
1.6
7.3
4.7
3.2
1.5
.7
1.2
4.7
-.9
-2.6
3.3
2.6
6.2
8.9
7.8
12.7
—9
41
4.5
-1.0
3.3
-5.7
8.5
5.6
5.5
7.4
3.5
3.9
1.5
5.2
4.3
4.1
2.2
1.6
6.1
5.0
5.5
5.1
2.5
4.2
_7
5.5
7.4
7.6
3.6
6.5
3.1
1.8
3.9
4.6
6.7
5.6
3.8
5.3
2.0
-5.8
6.0
6.9
7.7
11.8
7.9
6.7
5.3
6.3
6.8
5.8
6.4
7.0
5.0
4.3
2.2
3.4
5.7
Slowest growing States:
Washington
Minnesota
South Dakota
Missouri
North Dakota
California
New York
Iowa
2".9
3.6
•
119
120 • April 1994
SURVEY OF CURRENT BUSINESS
Revisions to the State Estimates
Availability of the State Estimates
The State estimates of personal income for 199092 have been revised to reflect the routine incorporation of more current State and county
source data (see table C). In addition, the annual State estimates for 1981-92 have been revised
to reflect the incorporation of new source data
that were not available in time to be used in
the last comprehensive revision, and the quarterly State estimates for these years have been
adjusted to reflect the changes in the annual estimates. The incorporation of the new source
data caused changes to the estimates of both farm
and nonfarm proprietors' income and of the residence adjustment, which is the net inflow of the
earnings of interstate commuters.
The newly available source data were also incorporated into the estimates of personal income
for local areas. For a detailed description of the
revisions for both States and local areas, see the
Quarterly State estimates for 1969-93 are available, including tables presenting income by type of
payment—for example, wages and salaries—and earnings by Standard Industrial Classification (sic) division.
Annual State estimates of personal income and per
capita personal income for 1929-93 are also available.
The detailed tables of the State annual series have not
yet been updated to reflect the revisions to the estimates for 1981-92; however, much of the information
presented in that series, including earnings by sic twodigit industry, is available in the local area series. For
more information, see the "Data Availability" box on
page 129.
article "Local Area Personal Income: Estimates
for 1990-92 and Revisions to the Estimates for
1981-91" beginning on page 127.
Tables C and 1 through 5 follow. H
April 1994
SURVEY OF CURRENT BUSINESS
Table C—Revisions in Total Personal Income for States and Regions, 1990-93
[Millions of dollars, quarters seasonally adjusted at annual rates]
1993
1992
State and region
1990
1991
1992
-1,700
-1,851
-2,244
-1,669
-2,089
-2,479
-2,738
-6,572
-5,374
-4,284
New England
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
-1,387
9
65
-1,161
-628
340
-13
-1,193
-14
85
-909
-621
263
3
-1,185
-7
96
-944
-643
308
5
-1,007
-20
157
-841
-560
236
22
-1,106
66
126
-996
-618
317
-1
-1,141
20
100
-932
-651
319
3
-1,486
-93
1
-1,006
-742
360
-4
-1,525
-292
150
-1,052
-672
383
-42
-1,623
-76
78
-1,257
-725
452
-95
1,665
897
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
-374
-971
414
486
-6,526
4,037
2,186
1,712
-949
586
354
-5,576
4,722
2,575
1,188
-983
743
299
-6,021
4,352
2,797
1,541
-952
566
339
-5,793
4,014
3,367
2,258
-1,001
667
274
-5,872
5,217
2,973
1,154
-982
812
380
-5,922
4,382
2,484
-201
-997
927
205
-6,498
3,796
2,365
-378
-940
742
384
-5,822
2,755
2,502
-297
-1,015
769
77
-6,332
4,146
2,056
-112
-1,159
771
-21
-6,652
4,252
2,697
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
-2,282
-2,230
-77
-746
1,340
-569
-2,723
-2,490
-265
-959
1,881
-890
-2,830
-2,793
-283
-949
2,082
-887
-2,509
-2,703
-111
-1,074
2,318
-937
-2,401
-2,649
-272
-838
2,255
-897
-3,099
-2,876
-356
-929
1,914
-851
-3,312
-2,945
-393
-953
1,841
-863
-7,254
-5,133
-564
-1,374
1,042
-1,226
-4,825
-3,280
-622
-1,266
1,638
-1,294
-2,721
-2,363
-851
-1,064
2,115
-557
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
-1,135
-623
-358
64
-306
27
7
54
-1,429
-902
27
48
-486
-24
-133
42
-1,474
-878
-44
99
-493
-70
-125
36
-1,056
-867
-92
236
-294
-10
-94
-1,291
-875
-30
227
-454
-77
-117
35
-1,684
-926
-27
-1,867
-845
-24
-100
-724
-68
-143
36
-5,948
-3,500
37
-835
-594
-732
-60
-264
-3,767
-2,404
671
-551
-711
-614
-6
-152
-5,454
-2,808
86
-881
-878
-252
-402
-318
Southeast
Alabama
Arkansas
Florida
Georgia
Kentucky
Louisiana
Mississippi
North Carolina
South Carolina
Tennessee
Virginia
West Virginia
365
145
-241
1,567
628
-968
147
-60
-602
110
293
-1,048
395
422
88
-320
2,592
700
-1,068
124
-79
-827
20
112
-1,315
393
500
137
-383
2,835
840
-1,218
111
-108
-956
47
233
-1,469
430
248
101
-378
2,575
850
-1,231
-55
-148
-939
73
299
-1,389
491
-314
173
-396
2,241
760
-1,228
-7
-74
-941
-38
211
-1,417
403
819
113
-417
3,220
784
-1,178
393
-90
-996
7
97
-1,516
402
1,246
163
-340
3,304
966
-1,234
115
-121
-949
147
323
-1,554
425
-787
66
-314
2,554
676
-1,524
-104
-118
-890
171
-89
-1,609
396
-3,202
343
-1,009
1,729
705
-1,494
-280
-316
-1,244
93
-214
-1,822
307
-1,654
198
-572
2,217
59
-1,403
-602
122
-164
190
105
-1,975
171
1,442
362
2
-146
1,224
2,098
337
-132
-175
2,067
2,257
301
-157
-217
2,330
1,924
251
-164
-265
2,102
2,219
298
-176
-272
2,370
2,331
307
-161
-219
2,403
2,554
348
-126
-111
2,444
3,844
214
-117
24
3,722
3,142
281
-216
-100
3,176
2,959
794
-91
-359
2,615
313
-25
227
-9
-24
144
221
48
151
-37
-94
153
-3
-54
112
-53
-122
113
99
103
87
-153
107
-24
-36
115
-85
-129
111
-22
-94
101
-26
-109
105
-64
-188
144
-55
-94
130
1,472
526
478
464
-142
146
1,512
364
667
516
-157
122
588
160
-484
136
Far West
Alaska
California
Hawaii
Nevada
Oregon
Washington
1,357
-173
-1,767
509
594
454
1,739
-959
-166
-3,233
423
603
414
1,000
-696
-187
-3,220
403
677
446
1,184
-912
-195
-3,127
344
626
367
1,072
-1,430
-185
-3,986
358
643
470
1,271
-834
-201
-3,391
383
702
437
1,235
390
-167
-2,376
525
738
510
1,159
4,004
-183
452
495
762
749
1,728
3,687
-159
-292
496
766
802
2,074
563
-346
-1,694
215
928
594
Census Divisions:
New England
Middle Atlantic
East North Central .
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
-1,387
-304
-2,282
-1,135
980
-591
984
1,272
763
-1,193
1,722
-2,723
-1,429
1,555
-947
1,696
1,030
-1,562
-1,185
1,128
-2,830
-1,474
1,786
-956
1,842
819
-1,374
-1,007
1,588
-2,509
-1,056
1,614
-980
1,403
813
-1,538
-1,106
2,318
-2,401
-1,291
948
-917
1,695
739
-2,073
-1,141
944
-3,099
-1,684
2,109
-1,058
2,161
826
-1,536
-1,486
-337
-3,312
-1,867
2,475
-869
2,108
896
-347
-1,525
-565
-7,254
-5,948
1,483
-1,666
3,328
2,332
3,242
-1,623
-130
-4,825
-3,767
-400
-1,680
1,787
2,345
2,921
1,665
296
-2,721
-5,454
88
-978
1,084
2,098
-364
United States
Southwest
Arizona
New Mexico
Oklahoma
Texas
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
31
-501
-125
-144
150
-406
661
165
• 121
122
• April 1994
SURVEY OF CURRENT BUSINESS
Table 1.—Total Personal Income, States and Regions
[Millions of dollars, seasonally adjusted at annual rates]
1990
1992
1991
Percent change
1993
State and region
United States 1
1993:1111993:1V
1992:1V1993:1 V
4,812,922 4,840,899 4,911,121 5,001,184 5,077,402 5,122,205 5,312,702 5,234,736 5,354,604 5,395,210 5,491,299
1.8
3.4
319,128
92,582
22,906
146.346
25,319
20.929
11,047
311,115
89,461
22,883
142,774
24,619
20,464
10,914
318,979
91,612
23,267
146,716
25,276
20,995
11,113
325,280
93,286
23,603
149,689
25,960
21,383
11,359
328,724
94,139
23,927
151,536
26,138
21,542
11,442
1.1
.9
1.4
1.2
.7
.7
.7
3.0
1.7
4.5
3.5
3.2
2.9
3.6
1,006,251 1,020,286 1,033,597 1,072,138
14,352
13,949
14,766
14,205
16,491
15,867
16,822
16,151
111,755 113,353 114,821 117,727
198,315 201,323 204,206 212,308
424,568 430,058 435,585 455,203
241,797 245,196 248,142 255,311
1,036,695
14,573
16,768
116,442
206,153
432,357
250,401
15,031
16,944
119,217
212,472
448,817
256,406
1,079,438
15,113
17,158
120,301
214,361
453,070
259,435
1,091,975
15.452
17,244
121,541
216,927
458,062
262,749
1.2
2.2
.5
1.0
1.2
1.1
1.3
1.9
4.6
2.5
3.2
2.2
.6
2.9
875,621
262,126
107,509
190,957
216,387
98,642
256,993
107,351
188,425
213,437
97,482
881,855
263,209
109,031
192,893
217,514
99,208
265,089
110,097
194,368
219,638
100,192
908,582
271,317
112,326
199,708
222,895
102,337
2.2
2.3
2.0
2.7
1.5
2.1
3.8
3.5
4.5
4.6
3.0
3.7
356,298
52,826
51,038
95,325
101,215
31,374
11,767
12,752
351,768
52,281
49,932
94,046
100,239
31,452
11,209
12,609
356,820
51,833
51,671
95,202
102,348
31,498
11,550
12,718
346,800
49,108
50,032
93,551
100.648
30,965
10,328
12,168
364,499
52,941
52,231
97,810
104.235
32,897
11,327
13,059
5.1
7.8
4.4
4.6
3.6
6.2
9.7
7.3
2.3
.2
2.3
2.6
3.0
4.9
-3.7
2.4
1,086,481 1,088,119 1,137,196 1,131,363 1,154,972 1,169,388
71,896
72,498
70,534
67,562
68.601
70,665
38,657
38,853
39,013
37,271
37,157
38,711
264,855 256,888 279,946 277,008 283,608 287,921
124,237 125.862 130,277 128,836 133,212 134,306
64,676
65,625
61,411
62,177
64,125
63,229
71,143
71,869
68,004
67,894
69,927
70,224
38,814
39,494
36,589
36,798
37,862
38,649
120,771 122,842 126,350 126,020 128,828 130,910
57,821
61,447
62,128
58,615
60,161
60,202
87,812
93,369
94,814
88,783
91,520
92,566
132,205 134,176 137,603 137,206 139,882 141,459
29,440
29,511
27,944
28,326
28,961
28,964
1,189,918
137,027
66,727
73,137
40,492
133,798
62,845
96,270
143,139
30,095
1.8
1.6
3.0
1.6
2.0
1.7
1.8
2.5
2.2
1.2
1.5
1.2
2.0
4.6
4.3
3.4
4.5
5.2
4.1
4.6
6.9
5.9
4.4
4.0
4.0
3.9
4,571,269
4,630,734
4,680,939
4,738,738
4,761,845
New England
Connecticut
Maine
Massachusetts
New Hampshire ....
Rhode Island
Vermont
287,057
82,250
20,820
132,825
22,319
19,019
9,825
289,375
83,306
21,025
133,603
22,472
19,117
9,853
291,659
84,242
21,112
134,653
22,616
19,180
9,856
291,752
84,734
20,966
134,480
22,555
19,166
9,851
292,486
83,874
21,262
135.189
22,900
19,318
9,943
294,301
84,598
21,244
135,988
23,126
19,322
10,023
294,553
84,376
21,397
135,986
23,282
19,393
10,118
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
929,692
12,838
14,029
104,095
183,775
394,875
220,080
944,206
13,090
14,573
105,468
186.556
400,956
223,563
955,881
13,382
15,279
106,939
188.648
405,101
226,532
960,957
13,462
15,631
107,439
189,687
406,402
228,336
975,020
13,673
15,593
109.262
191,132
412,825
232,535
977,639
13711
15,656
108,234
189,085
406,790
230.412
13,717
15,319
109.497
191,917
413,058
234,130
13,893
15,397
110,606
194,104
417,980
237,626
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
756,918
227,240
92,213
167,022
186,751
83,692
766,622
229,465
92,636
169,239
190,500
84,782
774,135
231,358
93,986
171,375
191,670
85,746
781,966
235,096
94,826
171,597
193,511
86,934
783,428
234,170
95,262
171,817
194,829
87,349
790,451
236,731
95,994
174,139
195,339
88,249
798,054
238,031
96,941
175,682
198,276
89,124
809,610
240,774
98,685
178,367
201,257
90,527
824,641
245,951
101,068
180,046
205,214
92,364
839,120
250,142
102,858
183,900
208,260
93,960
846,395
253,213
104.252
184,155
209.545
95,231
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
307,021
47,027
42,922
81,331
87,658
27,799
9,459
10,827
307,732
45,823
43,337
82,180
88,714
27,368
9,516
10,794
306,956
317,863
47,112
45,480
83,771
91,064
27,875
11,143
11,418
317,139
47,601
44,543
84,029
92,067
28,312
9,456
11,131
321,173
47,570
45,479
84,873
92,820
29,021
9,838
11,572
320,555
47,196
45,122
85,403
93,584
28,645
9,411
11,195
329,304
48,415
47,070
86,951
95,299
28,902
10,858
11,810
336,833
339,392
50,542
48,342
90,085
97,692
30,099
10,616
12,017
341,194
50,727
48,268
91,531
98,229
29,933
10,498
12,009
Southeast
Alabama
Arkansas
Florida2
Georgia
Kentucky
Louisiana2
Mississippi
North Carolina
South Carolina
Tennessee
Virginia
Wesf Virginia
963,653
58,999
32,300
240,335
975,579
60,131
32,325
243,366
988,281
60,595
32,334
246,508
1,012,758
62,896
33,924
252,243
1,069,513
112,529
54,720
60,541
32,473
109,587
53,315
78,366
119,565
24,626
110,585
53,940
59,748
32,204
108,085
52,665
77,123
120,580
24,826
122,160
25,153
1,023,089 1,032,560
64,110
63,416
34,242
34,184
253,922 255,016
116,478 117,694
58,028
56,982
64,318
63,640
34,277
34,065
112,388 114,656
54,808
55,220
81,179
82,005
125,791 126,497
26,498
26.238
1,046,586
65,027
35,014
109,132
53,349
59,113
31,881
106,209
51,644
76.498
997,618
61,603
32,842
248,209
113,379
55,806
61,510
33,033
109,475
53,794
79,156
123,280
25,531
Southwest
Arizona
New Mexico
Oklahoma
Texas
404,847
58,800
21,089
46,507
278,451
411,506
59,454
21,305
47,064
283,683
417,688
60,277
21,734
47,654
288,023
424,008
60,802
22,280
49,093
291,832
429,463
296,469
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
118,230
60,569
15,140
11,502
23,585
7,434
120,338
61,658
15,415
11,578
24,080
7,607
121,447
62.407
15,370
11,440
24,546
7,685
125,658
126,285
Far West
Alaska
California
Hawaii 2
Nevada
Oregon
Washington
803,852
11,244
606,796
22,346
23,844
47,931
815,376
11,532
614,023
22,995
24,364
48,920
93,542
824,892
11,616
620,174
23,576
25,049
49,421
95,056
838,916
11,807
629,722
24,149
25,472
50,374
97,392
45,537
43,312
82,271
89,546
26,837
8,942
10,512
64,016
16,004
12,639
25,068
7,930
114,792
55,970
62,902
33,672
110,727
54,542
80,309
124,727
26.055
61,796
22,503
64,825
15,837
12,130
25,405
8,089
836,400
12,017
625,310
24,258
25,949
50,698
98,168
298,215
85,477
21,607
137,679
23,618
19,610
10,225
301,610
86,284
22,001
139,136
23,929
19,808
10,452
50,803
47,409
89,502
96,743
30,066
10,357
11,954
127,807
26,971
66,604
36,597
261,365
122,194
60,460
66,842
36,060
118,507
57,000
86,104
130,152
27,627
257,158
119,412
59,099
65,472
35,044
115,796
55,952
83,833
305,648
87,864
22,330
140,532
24,152
20,121
10,648
309,081
22,588
141,523
24,429
20,357
10,799
73,690
40,030
292,665
435,704
62,389
22,794
49,403
301,117
438,307
62,544
22,913
49,318
303,533
446,818
63,442
23,280
50,707
309,389
456,002
64,772
23,844
51,458
315,928
464,806
65,964
24,248
52,264
322,330
470,378
66,900
24,601
52,575
326,302
487,957
69,112
25,116
54,225
339,505
486,248
68,903
25,587
54,056
337,702
496,681
70,835
26,020
54,972
344,854
501,525
72,385
26,632
55,080
347,428
510,223
73,181
27,135
55,884
354,024
1.7
1.1
1.9
1.5
1.9
4.6
5.9
8.0
3.1
4.3
129,160
66,168
16,315
12,479
25,947
8,251
130,028
66,714
16,349
12,416
26,238
8,311
133,986
68,369
16,973
13,467
26,716
8,461
135,296
69,426
17,124
12,891
27,383
8,471
137,958
70,818
17,542
13,166
27,824
8,608
139,777
71,898
17,721
13,177
28,352
8,629
145,188
74,257
18,596
14,142
29,267
8,926
146,439
74,932
18,798
14,356
29,313
9,041
149,768
76,581
19,414
14,759
29,884
9,130
150,354
77,399
19,280
14,248
30,235
9,192
153,870
78,667
20,088
14,800
30,923
9,391
2.3
1.6
4.2
3.9
2.3
2.2
6.0
5.9
8.0
4.7
5.7
5.2
844,023
12,148
629,828
24,330
26,397
51,391
99,928
849,201
12,294
632,401
24,516
26,791
51,836
101,363
856,997
12,446
636,065
24,846
27,192
52,877
103,571
871,037
12,759
645,210
25,521
27,925
53,703
105,918
883,710
12,891
653,838
25,887
28,375
54,642
108,077
893,665
12,997
661,788
24,336
29,030
55,657
109,856
919,175
13,233
677,430
26,885
30,394
57,141
114,091
907,420
13,500
666,529
27,043
30,560
57,796
111,991
926,641
13,690
680.188
27,459
31,248
58,709
115,348
933,040
13,702
685,513
27,374
31,826
59,131
115,495
943,508
13,862
692,016
27,568
32,641
60,156
117,265
1.1
1.2
.9
.7
2.6
1.7
1.5
2.6
4.7
2.2
2.5
7.4
5.3
2.8
309,081
887,933
846,395
341,194
872,372
256,359
483.928
260,308
864,635
319,128
922,822
875,621
356,298
912,656
265,218
502,368
269,810
888,781
311,115
888,911
318,979
917,695
881,855
356,820
927,609
268,755
509,626
277,872
895,393
325,280
926,865
328,724
937,738
908,582
364,499
953,807
277,180
523,075
1.1
1.2
2.2
5.1
1.6
1.7
1.9
2.0
1.1
3.0
1.6
3.8
2.3
4.5
4.5
4.1
6.3
2.5
Census Divisions
New England
Middle Atlantic
East North Central ....
West North Central ...
South Atlantic
East South Central ....
West South Central ...
Mountain
Pacific
287,057
798.730
756,918
307,021
782,474
220,728
416,371
221,962
780,009
r
289,375
811,075
766,622
307,732
793,239
223.398
422.820
225,461
791,012
291,659
820,281
774,135
306,956
804,852
226,154
428,553
228,507
799,843
291,752
824,425
781,966
317,863
810,200
229,598
435,278
234,212
813,444
292,486
826,286
783,428
317,139
820,685
232.847
441,990
236.534
810.451
294,301
836,492
790,451
321,173
828,152
235,641
448,345
240,740
817,626
294,553
839,105
798.054
320.555
834.114
238.420
451,411
242,276
822,410
298.215
849.710
809.610
329,304
842,992
243,003
460,582
247,899
829,805
Revised.
p Preliminary.
1. The personal income level shown for the United States is derived as the sum of the State estimates; it differs
from the national income and product accounts (NIPA) estimate of personal income because, by definition, it omits
the earnings of Federal civilian and military personnel stationed abroad and of U.S. residents employed abroad ternporarily by private U.S. firms. It can also differ from the NIPA estimate because of different data sources and revision
schedules.
301,610
864,680
824,641
336,833
858,417
249,228
470,824
251,838
843,112
305,648
876,577
839.120
339,392
871,542
253,374
479,870
256,544
855,335
351,768
905,978
263,932
500.994
271,490
876,860
346,800
938,807
272,431
513,231
281,196
901,214
910,867
2. The third quarter 1992 estimates of personal income reflect the losses resulting from damage caused by Hurricane Andrew in Florida and Louisiana and by Hurricane Iniki in Hawaii.
3. The third quarter 1993 estimates of personal income reflect the losses resulting from damage caused by floods
in Illinois, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota, and Wisconsin and by drought
in Georgia, North Carolina, South Carolina, and Virginia.
NOTE.—The quarterly estimates of State personal income were prepared by Marian B. Sacks, James P. Stehle,
Isabelle B. Whiston, and James M. Zavrel, under the supervision of Robert L Brown.
April 1994 • 123
SURVEY OF CURRENT BUSINESS
Table 2.—Nonfarm Personal Income, States and Regions
[Millions of dollars, seasonally adjusted at annual rates]
1990
1992
1991
Percent change
1993
State and region
1993:1111993:1V
United States ...
4,513,093 4,582,157
4,645,216 4,688,369 4,717,370 4,762,695 4,803,437 4,865,346 4,947,979 5,025,609 5,080,725 5,259,114 5,176,936 5,304,190 5,365,738 5,433,995
1992:1V1993:1V
1.3
290,967
84,041
20,951
134,484
22,578
19,149
9,764
291,075
84,542
20,802
134,316
22,516
19,134
9,765
291,722
83,650
21,108
134,973
22,855
19,280
9,856
293,491
84,364
21,081
135,756
23,078
19,282
9,931
293,786
84,159
21,242
135,763
23,237
19,356
10,029
297,475
85,270
21,452
137,460
23,576
19,574
10,143
327,822
93,837
23,698
151,301
26,107
21,500
11,379
1.0
.8
1.2
1.2
.7
.7
.7
941,638
12,937
14,573
105,074
186,301
400,120
222,632
13!246
15,279
106,591
188,435
404,393
225,700
958,790
13,339
15,631
107,110
189,471
405,721
227,518
961,816
13,573
15,656
107,885
188,847
406,073
229,782
972,793
13,519
15,593
108,874
190,872
412,072
231,863
975,629
13,579
15,319
109,146
191,673
412,384
233,529
987,592 1,003,630 1,017,620 1,031,203 1,069,733 1,034,382 1,066,876 1,077,478 1,089,625
14,062
14,944
15,245
13,753
13,801
14,865
14,226
14,630
14,413
16,151
15,867
16,944
17,158
17,244
15,397
16,491
16,822
16,768
121,144
110,258 111,336 112,941 114,430 117,329 116,059 118,871
193,872 198,064 201,042 203,963 212,063 205,920 212,254 214,157 216,680
417,307 423,766 429,263 434,871 454,481 431,637 448,217 452,492 457,352
237,005 240,797 244,160 247,222 254,408 249,584 255,724 258,759 261,960
1.1
2.0
.5
1.0
1.2
1.1
1.2
748,661
224,534
90.963
166,024
185,206
81,933
761,041
228,076
91,910
168,495
189,280
83,280
770,724
230,901
93,615
170,828
190,759
84,621
777,211
233,961
94,210
170,901
192,417
85,723
779,730
233,331
94,990
171,095
193,961
86,353
786,420
235,641
95,728
173,364
194,434
87,253
795,780
237,784
96,912
175,116
197,650
88,317
806,838
240,392
98,627
177,721
200,525
89,573
818,577
243,935
100,164
179,246
203,919
91,313
833,845
248,490
102,171
183,092
207,080
93,012
842,066
251,982
103,718
183,521
208,446
94,399
870,634
260,580
106,912
190,233
215,297
97,612
857,990
255,772
106,141
187,078
212,603
96,395
877,344
261,625
108,445
191,849
217,037
98,387
264,889
109,583
193,366
219,263
99,989
902,216
268,938
111,424
198,177
222,198
101,479
1.7
1.5
1.7
2.5
1.3
1.5
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
292,650
43,090
41,389
78,634
86,875
24,507
8,833
9,322
297,528
43,718
42,111
80,172
88,174
24,985
8,914
9,455
301,514
44,518
42,761
81,098
25,261
9,025
9,643
304,986
45,169
43,028
81,845
90,183
25,811
9,160
9,790
308,267
45,448
43,674
82,583
91,489
25,984
9,134
9,954
311,169
45,897
44,018
83,483
92,280
26,207
9,204
10,080
314,866
46,283
44,638
84,489
93,284
26,609
9,300
10,262
318,932
46,994
45,223
85,516
94,528
26,849
9,411
10,410
324,908
47,755
46,112
87,725
95,920
27,165
9,608
10,622
329,197
48,498
46,846
88,781
96,850
27,686
9,727
10,809
333,395
49,040
47,303
90,458
97,699
28,020
9,898
10,978
343,222
50,482
48,837
93,588
100,175
28,799
10,115
11,226
340,368
50,119
48,225
92,563
99,237
28,609
10,221
11,394
347,279
51,133
49,284
94,341
101,378
29,222
10,356
11,565
349,681
51,172
49,786
95,313
101,769
29,568
10,367
11,705
356,225
52,481
50,343
97,213
103,825
29,894
10,560
11,910
1.9
2.6
1.1
2.0
2.0
1.1
1.9
1.7
Southeast
,
Alabama
Arkansas
1
Florida
Georgia
Kentucky
LouisianaJ
Mississippi
North Carolina
South Carolina
Tennessee
,
Virginia
West Virginia
950,493
58,048
30,918
237,568
107,719
52,173
58,497
31,284
103,584
51,307
76,024
118,828
24,544
964,239
59,095
31,237
241,251
109,305
52,907
59,269
31,753
105,675
52,376
76,707
119,916
24,748
978,915
59,802
31,741
244,117
111,528
53,874
60,285
32,235
107,519
53,108
78,055
121,564
25,088
987,304
60,637
32,072
245,785
112,280
54,810
61,217
32,633
107,505
53,501
78,709
122,689
25,465
999,315
61,548
32,564
249,286
113,305
54,911
62,262
33,050
108,323
54,141
79,835
124,096
25,993
1,054,843 1,071,877 1,076,539 1,124,353 1,116,914 1,143,246 1,159,361 1,174,643
72,453
69,387
66,446
70,692
71,521
65,419
67,656
69,525
38,359
36,943
35,600
37,599
37,953
34,978
36,041
37,502
258,114 261,888 254,594 277,345 274,283 281,097 285,399 289,334
120,516 122,454 124,377 128,616 127,175 131,555 132,914 135,077
65,474
64,692
59,172
60,182
60,970
62,830
62,155
63,642
72,452
71,787
66,228
67,241
67,616
69,498
69,531
70,895
39,756
39,182
35,306
35,840
36,389
37,246
37,590
38,296
115,922 118,176 120,398 124,093 123,350 126,459 128,611 130,603
56,636
62,529
57,454
58,343
59,841
61,115
59,805
62,009
85,496
95,855
87,183
88,323
91,954
93,021
91,045
94,592
129,498 131,549 133,571 137,005 136,715 139,449 141,192 142,669
27.556
28,261
28,897
29,426
30,081
27,865
28,934
29,509
1.3
1.3
1.1
1.4
1.6
1.2
.9
1.5
1.5
.8
1.3
1.0
1.9
Southwest
Arizona
New Mexico
Oklahoma
Texas
58,010
20,674
45,612
275,062
406,465
58,729
20,962
46,242
280,532
414,105
59,616
21,415
46,949
286,125
418,054
60,151
21,764
47,595
288,544
424,540
60,997
22,077
47,997
293,469
429,664
61,446
22,288
48,410
297,519
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
115,486
59,596
14,039
11,227
23,329
7,295
117,630
60,740
14,277
11,303
23,838
7,472
119,667
61,746
14,550
11,465
24,350
7,557
121,762
62,800
14,843
11,595
24,793
7,732
124,047
64,120
15,063
11,786
25,200
7,879
126,018
65,183
15,306
11,883
25,686
7,960
793,239
11,239
598,682
22,108
23,730
47,089
90,391
805,006
11,527
606,096
22,745
24,261
48,078
92,300
815,681
11,610
613,149
23,325
24,956
48,701
93,941
829,186
11,798
622,963
23,899
25,374
49,422
95,730
827,934
12,011
619,065
24,030
25.854
49,966
97,009
834,405
12,142
622,904
24,103
26,290
50,519
98,447
New England
Connecticut
Maine
Massachusetts
New Hampshire ....
Rhode Island
Vermont
286,235
82,011
20,624
132,631
22,276
18,980
9,713
288,611
83,087
20,849
133,418
22,429
19,081
9,746
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
926,970
12,667
14,029
103,665
183,521
393,982
219,107
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
,.
Far West
Alaska
California
Hawaii
1
Nevada
Oregon
Washington
,
1,008,735 1,020,078 1,034,221
63,876
62,118
62,881
34,201
32,912
33,492
254,199
250,539
251,850
117,854
114,788
116,153
58,040
55,881
57,057
65,119
63,078
63,991
34,550
33,445
33,926
109,632
113,365
111,943
54,367
55,569
54,861
80,714
83,353
81,617
127,186
125,091
125,872
26,910
26,170
26,436
300,761
86,059
21,842
138,911
23,877
19,768
10,304
304,753
87,631
22,157
140,291
24,099
20,081
10,494
308,250
89,162
22,427
141,300
24,379
20,320
10,662
318,295
92,361
22,735
146,120
25,270
10,917
310,308
22,665
142,562
24,584
20,428
10,841
318,225
91,382
23,073
146,508
25,248
11,055
324,545
93,052
23,419
149,493
25,932
21,346
11,304
301,291
441,732
62,733
22,863
49,650
306,486
450,654
64,059
23,342
50,449
312,804
458,737
65,262
23,729
51,210
318,536
466,258
66,283
24,195
51,869
323,911
481,719
68,471
24,627
53,014
335,607
478,319
67,925
25,026
52,933
332,435
489,876
70,045
25,483
53,802
340,546
496,568
71,372
26,085
54,343
344,768
502,076
72,134
26,378
54,636
348,929
1.1
1.1
1.1
.5
1.2
127,935
66,051
15,591
12,160
26,034
8,099
130,260
67,277
15,909
12,382
26,472
8,221
132,961
68,629
16,284
12,649
27,135
8,265
135,349
69,982
16,654
12,814
27,538
8,360
137,713
71,187
16,936
13,025
28,122
8,443
141,380
73,110
17,442
13,218
28,957
8,653
142,686
73,661
17,617
13,542
29,075
8,791
145,491
75,268
18,010
13,710
29,650
8,853
147,425
76,397
18,219
13,783
30,063
8,963
149,492
77,238
18,570
13,930
30,675
9,079
1.4
1.1
1.9
1.1
2.0
1.3
840,867
12,288
626,182
24,294
26,698
51,121
100,284
848,295
12,436
630,153
24,630
27,100
51,993
101,983
861,646
12,754
638,346
25,290
27,861
52,919
104,475
874,231
12,885
647,020
25,655
28,301
53,831
106,539
885,300
12,992
655,671
24,193
28,968
54,930
108,546
909,778
13,224
671,000
26,656
30,320
56,229
112,349
13,496
658,535
26,805
30,430
56,714
109,989
915,854
13,685
672,988
27,221
31,138
57,626
113,197
923,590
13,701
678,991
27,140
31,714
58,213
113,831
13,858
684,059
27,325
32,501
58,977
115,175
1.1
.7
.7
2.5
1.3
1.2
308,250
886,056
842,066
333,395
318,295
920,952
870,634
343,222
904,579
261,556
495,621
264,798
879,458
310,308
887,141
857,990
340,368
897,503
260,177
491,842
266,066
865,539
318,225
916,195
877,344
347,279
919,781
265,652
502,841
272,157
884,716
324,545
925,407
887,089
349,681
931,705
269,988
508,851
276,596
891,876
327,822
935,992
902,216
356,225
943,926
273,538
514,376
280,504
899,395
1.0
1.1
1.7
1.9
1.3
1.3
1.1
1.4
434,496
61,807
22,543
Census Divisions
New England
Middle Atlantic
East North Central ....
West North Central ...
South Atlantic
East South Central....
West South Central...
Mountain
Pacific
286,235
796,610
748,661
292,650
773,911
217,529
410,089
217,901
769,509
288,611
809,054
761,041
297,528
785,855
220,463
417,279
221,582
780,745
290,967
818,528
770,724
301,514
798,039
223,965
425,100
225,653
790,726
291,075
822,710
777,211
304,986
803,307
226,790
429,427
229,052
803,812
291,722
824,702
779,730
308,267
812,258
229,345
436,292
232,975
802,080
293,491
834,807
786,420
311,169
818,573
232,158
441,919
236,042
808,115
293,786
837,585
795,780
314,866
825,157
235,481
447,630
238,983
814,169
297,475
848,184
806,838
318,932
834,490
239,819
455,456
242,956
821,195
r
Revised.
p Preliminary.
NOTE—Nonfarm personal income is total personal income less farm earnings.
1. The third quarter 1992 estimates of personal income reflect the losses resulting from damage caused by Hurri-
300,761
862,626
818,577
324,908
849,246
245,394
464,460
248,223
833,785
304,753
874,465
833,845
329,197
862,539
249,652
472,587
252,642
845,929
253,338
479,437
257,160
856,332
cane Andrew in Florida and Louisiana and by Hurricane Iniki in Hawaii.
2. The third quarter 1993 estimates of nonfarm personal income reflect the losses resulting from damage caused
by floods in Illinois, Iowa, Kansas, Minnesota. Missouri, Nebraska, North Dakota, South Dakota, and Wisconsin.
124 • April 1994
SURVEY OF CURRENT BUSINESS
Table 3.—Total and Per Capita Personal Income for States and Regions, 1988-93
Per capita 3
Total
Area name
Millions of Dollars
1988 r
United States 1 .
Percent
change 2
1990'
1991'
1992'
1993'
Rank in U.S.
Dollars
1988
1992-93
r
1989
r
1990
r
1991
1992'
1993'
1993
16,610
17,690
18,667
19,163
20,105
20,817
New England
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
265,334
75,790
18.486
124,327
20,888
17,261
8,581
281,095
80,601
20,089
130,466
22,065
18,454
9,421
289,961
83,633
20,981
133,890
22,491
19,121
9,846
294,889
84,581
21,378
136,210
23,231
19,411
10,077
321,025
92,124
23,420
147,679
25,498
21,096
11,207
20,276
23,160
15,354
20.787
19,292
17,321
15.607
21,325
24,548
16,467
21,688
19,977
18,441
21,935
25,426
17,041
22,248
20,231
19,035
17,444
22,338
25,705
17,294
22,719
20,973
19.340
17,750
23,406
27,150
18,163
23,676
21,933
20,276
18,792
24,265
28,110
18,895
24,563
22,659
21,096
19,467
1
32
4
9
17
26
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
834,323
11,371
13,420
91,790
167,602
353,658
196,483
894,080
12,420
14,227
99,769
178,582
377,342
211,739
947,684
13,193
14,878
105,985
187,167
401,833
224,628
976,538 1,033,068 1,069,249
13,748
14,318
15,042
17,028
15,491
16,333
109,400 114,414 119,375
191,559 204,038 212,478
412,663 436,354 448,076
233,676 247,611 257,248
19,206
17,555
21,284
19,703
21,729
19,709
16,584
20,513
18,867
22,794
21,105
23,114
20,983
17,844
21,682
19,719
24,643
22,088
24,182
22,322
18,884
22,241
20,195
26,069
22,494
24,644
22,866
19,557
23,416
20,724
27,909
23,268
26,091
24,095
20,642
24,099
21,481
29,438
24,044
26,967
24.623
21,351
5
2
3
16
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
680,125
201,919
81,901
152,142
169,902
74,260
728,259
217,594
88,227
162,359
180,248
79,831
769,910
795,386
237,427
96,720
175,001
197,425
88,812
846,445
252,858
103,922
184,765
209,851
95,049
885,877
264,152
109,701
193,849
218,371
99,805
16,299
17,725
14,911
16,502
15,732
15,397
17,392
230,790
93,415
169,808
190,608
85,288
18,297
20,159
16,815
18,239
17,547
17,399
18,762
20,602
17,251
18,667
18,047
17,954
19,814
21,774
18,366
19,586
19,040
19,038
20,594
22,582
19,203
20,453
19,688
19,811
10
30
20
24
22
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
269,192
39,681
38,778
70,914
79,134
23,908
7,816
8,962
289,663
43,352
40,553
77,405
84,348
25,276
8,877
9,851
322,043
47,695
45,553
85,314
93,442
28,720
9,891
11,427
343,429
51,225
48,764
91,611
98,470
30,368
10,809
12,183
354,972
51,541
50,967
95,152
101,867
31,703
11,104
12,638
15,351
14,332
15,748
16,504
15,570
15,211
11,925
12.835
16,462
46,375
43,763
82,388
89,245
27,470
9,765
10,888
17,843
16,552
16,050
13,735
14,139
17,519
16,683
17,639
18,784
17,407
17,379
15,320
15,628
18,104
17,096
18,290
19,276
18,121
18,059
15,617
16,286
19,164
18,275
19,387
20,503
18,970
18,974
17,048
17,198
19,662
18,315
20,139
21.063
19,463
19.726
17,488
17,666
35
21
18
27
23
39
37
Southeast
Alabama
Arkansas
Florida
Georgia
Kentucky
Louisiana
Mississippi
North Carolina
South Carolina
Tennessee
Virginia
West Virginia
849,116
916,226
56,291
30,702
228,024
104,184
50,586
56,369
30,672
100,010
47,995
73,177
114,864
23,352
981,283
60,332
32,450
244,604
111,406
54,454
60,228
32,398
108,339
52,855
77,786
121,397
25,034
1,028,748
63,863
34,341
254,585
117,094
57,520
64,083
34,265
113,392
55,130
81,831
126,206
26,440
6.0
5.6
4.6
7.4
6.1
4.9
5.0
6.9
6.4
5.5
5.8
5.2
4.6
14,607
13,051
12,289
16,666
15,485
12,751
12,568
11,181
14,435
13,192
14,177
17,558
12,124
15,600
13,967
13,085
18.043
16,250
13,756
13,254
11,915
15,233
13,884
15,074
18,768
12,926
16,501
14,899
13,779
18,785
17,121
14,751
14,279
12,578
16,284
15,101
15,903
19,543
13,964
17,071
15,614
14,485
19,180
17,666
15,483
15,100
13,218
16,802
15,484
16,524
20,071
14,695
17,926
16,522
15,635
19,711
18,549
16,528
15,931
14,082
17,863
16,212
17,674
20,883
15,598
18,753
17,234
16,143
20,857
19,278
17,173
16,667
14,894
18,702
16,923
18,434
21,634
16,209
41
49
19
29
42
45
50
33
44
34
13
47
Southwest
Arizona
New Mexico
Oklahoma
Texas
360,245
53,251
18,713
42,158
246,122
385,260
56,646
20,134
44,694
263,785
414,512
59,833
21,602
47,580
285,497
437,573
62,543
22,872
49,531
302,627
469,786
66,687
24,452
52,630
326,016
498,669
71,326
26,343
54,998
346,002
6.1
7.0
7.7
4.5
6.1
14,489
15,061
12,554
13,310
14,765
15,359
15,639
13,388
14,187
15,695
16,323
16,262
14,213
15,117
16,747
16,952
16,697
14,781
15,636
17,440
17,861
17,401
15,458
16,420
18.437
18,596
18,121
16,297
17,020
19,189
36
46
43
31
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
104,451
53,966
12,668
10,269
20,915
6,633
113,279
58,202
14,241
11,317
22,520
6,999
121,418
62,163
15,482
11,790
24,320
7,664
129,865
66,519
16,368
12,623
26,076
8,278
139,555
71,600
17,746
13,344
28,206
8,659
150,108
76,895
19.395
14,541
7.6
7.4
9.3
9.0
6.7
6.1
14,500
16,540
12,850
12,832
12,379
14,260
15,659
17,767
14,321
14,152
13,201
15,270
16,639
18,818
15,304
14,743
14.063
16,905
17,456
19,740
15,773
15,632
14,759
18,076
18,293
20.666
16,649
16,227
15,573
18,631
19,160
21,564
17,646
17,322
16,180
19,539
14
38
40
48
25
Far West
Alaska
California
Hawaii
Nevada
Oregon
Washington
699,019
9,720
532,444
18,924
19,253
41,327
77,352
758,274
10,741
573,255
20,957
22,031
45,452
85,838
820,759
11,550
617,679
23,266
24,682
49,161
94,420
846,656
891,897
12,970
659,567
25,657
28,931
55,286
109,485
927,652
13,688
681,061
27,361
31,569
58,948
115,025
4.0
5.5
3.3
6.6
9.1
6.6
5.1
18,134
17,931
18,703
17,522
17,907
15,074
16.669
19,180
19,631
19,620
19.146
19,370
16,287
18,085
20,242
20,887
20,656
20,905
20,248
17,201
19,268
20,483
21,498
20,748
21,576
20,639
17,714
20,087
21,190
22,067
21,348
22,200
21,648
18,605
21,289
22,846
21,821
23,354
22,729
19,443
21,887
21,325
20,430
17,392
16,462
17,319
13,922
14,895
15,713
19,175
21,935
21,618
18,297
17,519
18,230
14,793
15,905
16,590
20,242
22,338
22,185
18,762
18,104
18,712
15,471
16.606
17,250
20,478
23.406
23,415
19,814
19,164
19,488
16,485
17,570
18,055
21,175
24,265
24,074
20,594
19,662
20,367
17,215
18,287
18,906
21,713
4,061,806
52,521
28,793
205,127
97,819
46,930
53,911
28,854
93,560
45,018
68,379
106,011
22,193
4,366,135 4,655,420 4,831,697 5,128,373 5,368,962
12,226
630,901
24,488
26,582
51,701
100,758
308,867
22,456
141,884
24,457
20,304
10,737
1,095,327 1,161,410
72,154
68,358
39,138
37,434
265,764 285,300
125,642 133.345
62,043
65,064
68,167
71,593
36,827
39,362
122,117 129,889
58,410
61,645
88,816
93,993
133,534 140,421
28,215
29,503
19,071
15,972
17,546
16,644
16,438
15,647
21,747
7
12
6
Census Divisions
New England
Middle Atlantic
East North Central ,
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
265,334
717,743
680,125
269,192
686,308
196,685
370,985
195,669
679,766
281,095
767,664
728,259
289,663
744,846
210,725
395,550
212,091
736,242
289,961
813,628
769,910
797,691
224,970
425,755
227,536
796.077
294,889
837.899
795,386
322,043
831,486
237,478
450,582
241,862
820,073
308,867
888.003
846,445
343,429
878,746
256,045
484,247
259,625
862,965
" Revised.
p Preliminary.
1. The personal income level shown for the United States is derived as the sum of the State estimates; it differs
from the national income and product accounts (NIPA) estimate of personal income because, by definition, it omits
the earnings of Federal civilian and military personnel stationed abroad and of U.S. residents employed abroad tern-
321,025
917,803
885,877
354,972
931,550
270,574
511,732
279,346
896,084
20,276
19,137
16,299
15,351
16,215
13,018
14,016
14,706
18,140
porarily by private U.S. firms. It can also differ from the NIPA estimate because of different data sources and revision
schedules.
2. Percent change was calculated from unrounded data.
3. Per capita personal income was computed using midyear population estimates of the Bureau of the Census
Estimates for 1990-93 reflect State population estimates available as of February 1994.
April 1994
SURVEY OF CURRENT BUSINESS
Table 4.—Total and Per Capita Disposable Personal Income for States and Regions, 1988-93
Per capita 2
Total
Percent
change'
Millions of Dollars
Area name
1990'
1991"
1992'
1993'
1992-93
United States ...
3,535,222
3,774,071
4,033,622
4,212,193
4,484,138 4,687,969
14,457
228,223
64,491
16,254
106,361
18,643
14,952
7,521
241,080
68,494
17,678
111,294
19,659
15,751
8,204
248,890
71,062
18,546
113,899
20,144
16,645
8,594
254,494
72,320
19,088
116,471
20,835
16,932
8,848
265,943
75,393
20,098
121,365
21,919
17,729
9,439
276,066
77,920
20,944
126,168
22,819
18,384
9,830
17,440
19,707
13,500
17,784
17,219
15,004
13,678
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
709,892
9,460
11,268
78,078
143,517
296,749
170,819
756,872
10,298
11,906
83,823
153,535
313,206
184,104
806,967
11,069
12,263
89,726
161,396
337,229
195,284
837,899
11,703
12,920
92,664
165,718
350,419
204,475
12,217
13,689
97,734
176,849
371,430
216,049
918,816
12.867
14,227
102.041
184.012
381,186
224,484
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
593,024
175,009
71,966
132,438
148,972
64,639
629,888
187,719
76,887
139,905
156,510
68,866
667,483
199,341
81,308
147,448
165,624
73,762
692,397
206,125
84,616
152,737
172,106
76,814
740,115
220,325
91,256
161,837
184,038
82,659
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
235,716
34,826
33,990
60,875
69,564
21,281
6,995
8,185
251,241
37,583
34,920
66,033
73,393
22,487
7,884
8,941
269,410
40,351
37,855
70,134
78,166
24,247
8,819
9,837
280,868
41,275
39,788
72,641
82,527
25,365
8,881
10,391
300,373
44,510
42,809
78,267
87,074
26,863
9,766
11,085
Southeast
Alabama
Arkansas
Florida
Georgia
Kentucky
Louisiana
Mississippi
North Carolina
South Carolina
Tennessee
Virginia
West Virginia
749,616
46,931
25,717
179,594
85,735
41,327
48,852
26,475
81,858
40,040
61,866
91,031
20,190
804,746
49,870
27,362
200,008
90,561
44,215
50,815
27,902
87,117
42,084
65,749
864,179
53,564
28,816
215,305
96,897
47,621
53.686
29,597
94,761
46,645
70,020
104,895
22,372
910,586
56,677
30,617
226,123
102,747
50,254
57,222
31,418
99,469
48,978
74,190
109,201
23,690
971,933
33,473
236,372
110.377
54,309
61,226
33,837
107.389
52,124
80,628
115,898
25,409
64,193
34,971
263,237
116,701
56,871
64,204
36,025
114,049
54,900
85,175
121,780
26.487
Southwest
Arizona
New Mexico
Oklahoma
Texas
319,949
46,885
16,595
37,582
218,888
341,586
49,623
18,019
39,537
234,406
365,875
52,753
19,238
41,832
252,052
388,137
54,855
20,463
43,615
269,204
418,382
58,683
21,921
46,592
291,186
92,747
47,560
11,457
9,126
18,625
5,979
99,271
50,573
12,804
9,858
19,836
6,200
105,753
53,617
13,998
10,263
21,024
6,852
113,357
57,394
14,801
11,047
22,692
7,422
606,054
8,780
459,231
16,239
16,701
36,064
69,039
649,387
9,467
488,570
17,600
19,111
38,932
75,707
705,064
734,456
10,836
546,875
20,847
23,132
44,448
88,318
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
Far West
Alaska
California
Hawaii
Nevada
Oregon
Washington
10,149
528,976
19,691
21,434
42,044
82,770
1990'
1988'
New England
Connecticut
Maine
Massachusetts
New Hampshire ....
Rhode Island
Vermont
20,895
Rank in U.S.
Dollars
15,291
1991'
1992'
1993'
1988
1993
16,173
16,706
17,580
18,177
18,828
21,604
15,064
18,926
18,120
16,570
15,225
20,153
20,867
20,860
14,490
18,501
17,799
15,741
14,711
19,278
21.979
15,442
19,427
18.810
16,870
15.584
22,992
16,256
20.252
19,656
17,706
16,521
23.776
16,898
20,985
20,278
18,384
17,076
1
29
3
7
17
28
16,341
14,605
17,871
16,760
18,606
16.538
14,418
17,365
15.643
19,075
17,732
19,872
17,417
15,515
18,463
16,545
20,312
18,700
20.852
18,733
16,417
19,083
17.190
21,743
19,053
21,319
19,417
17,113
20,127
17,682
23,391
19,876
22,614
20.510
18,011
20,709
18,374
24,595
20,552
23,354
20,948
18,632
5
2
4
14
772,637
229,825
96,113
169,518
190,551
86,630
14,212
15.363
13,102
14,365
13,794
13,402
15,043
16,452
13,919
15,119
14,453
14.180
15,863
17.412
14,636
15,837
15,247
15,047
16,333
17,886
15,092
1632
15,732
15,529
17,325
18,972
16,128
17,155
16,698
16,556
17,961
19,648
16,824
17,886
17,180
17.196
10
31
20
25
24
309,122
44,411
44,629
80,894
89,803
27.990
9.961
11,433
13,442
12,578
13,804
14,168
13,687
13.540
10.672
11,721
14,279
13,565
14,121
15,222
14,403
14.278
12.198
12.834
15,231
14,516
15,258
15,990
15.246
15.340
13,837
14.120
15,790
14,794
15,976
16,413
16,004
15.950
14.023
14.809
16,762
15,880
17,019
17.516
16.775
16.784
15,403
15,648
17,122
15,782
17,635
17,907
17,158
17,416
15,688
15.981
38
21
19
26
23
39
35
12,896
11,662
10,976
14,591
13,572
11,229
10,259
12,629
11,733
12,827
15,077
11,030
13,702
12,374
11,662
15,826
14,126
12,024
11,948
10,839
13,269
12,174
13,544
16,040
11,566
14,532
13.227
12.236
16.535
14.891
12.901
12.728
11.491
14,243
13.327
14,315
16,886
12,479
15,110
13.857
12,914
17,036
15,502
13,528
13,483
12,120
14,739
13,756
14,981
17,366
13,167
15,906
14,717
13,981
17,532
16,296
14.468
14.309
12.939
15,709
14,467
16,045
18,125
14,047
16,608
15,332
14,424
18.513
16.871
15,010
14.947
13,631
16,421
15,071
16,705
18,762
14,552
40
48
16
30
44
45
50
34
42
33
13
47
443,546
62,666
23,580
48,666
308,635
12,868
13,261
11,133
11,865
13,131
13,618
13,700
11,982
12,550
13,947
14,408
14,338
12,658
13,291
14,785
15,037
14,645
13,224
13,768
15,514
15,907
15,312
13,858
14,536
16,467
16,541
15,921
14,587
15.060
17,116
43
27
121,916
61,875
16,048
11,663
24,557
7,772
131,069
66,425
17,557
12,699
26,157
8,231
12,875
14,577
11,622
11,403
11,023
12,854
13,723
15.438
12,876
12,329
11,628
13,526
14,492
16,231
13,836
12,834
12,158
15,114
15,237
17,032
14,262
13,681
12,844
16,208
15,981
17,859
15,056
14,183
13,558
16,724
16,730
18,628
15,974
15,128
14,066
17,504
15
36
41
49
22
777,507
11,545
574,751
21,934
25,254
47,556
96,467
808,120
12,166
592,902
23,476
27,474
50,726
101,376
15,722
16.198
16,131
15,036
15,533
13,154
14,877
16,426
17,303
16,721
16,079
16,802
13,951
15,951
17,389
18,354
17,690
17,693
17.584
14,711
16.890
17,769
19,054
17,985
18,368
17.960
15,229
17,607
18,473
19,642
18,603
18,978
18,897
16,004
18.758
18,944
20,306
18.997
20.038
19,781
16.731
19,290
32
11
18,289
17,321
15,043
14,279
14,994
12,403
13,259
13,782
16,415
18,828
18.437
15,863
15,231
15,859
13,204
14,061
14,522
17,383
19,278
19,080
16,333
15,790
16,372
13,847
14,766
15,107
17,763
20,153
20,154
17,325
16,762
17,103
14,787
15,692
15,840
18,459
20,867
20,713
17,961
17,122
17,847
15.414
16,313
16,567
18,916
Census Divisions
New England
Middle Atlantic
East North Central
West North Central ....
South Atlantic
East South Central
West South Central ....
Mountain
Pacific
r
Revised.
p Preliminary.
1. Percent change was calculated from unrounded data.
228,223
611,085
593,024
235,716
597,254
176,599
331,039
172,928
589,353
241,080
650,845
629,888
251,241
644,859
187,736
352,121
186,024
630,277
248,890
693,909
667.483
269,410
693.933
200,802
376.386
199,179
683.630
254,494
720,612
280,868
727,494
212,540
400,658
211,807
711.324
265,943
764,328
740,115
300,373
771,209
229,665
432,477
227,774
752,253
276,066
789,681
772,637
309,122
816,289
242,264
456,476
244,789
780,646
17,440
16,294
14,212
13,442
14,111
11,688
12,506
12,997
15,728
2. Per capita disposable personal income was computed using midyear population estimates of the Bureau of
the Census. Estimates for 1990-93 reflect State population estimates available as of February 1994.
126
• April 1994
SURVEY OF CURRENT BUSINESS
Table 5.—Percent Change in Earnings for Selected Industries, 1992-93 ]
Earnings 2
Area name
Total
personal
income
Total
Nonfarm
Mining
Construction
Manufacturing
Transportation,
public
utilities
Wholesale
and retail
trade
Finance,
insurance,
and real
Services
Government
Other
Federal,
civilian
Military
State and
locai
United States ...
4.7
4.4
4.5
7.4
.8
4.4
4.4
1.6
7.3
5.6
4.1
New England
Connecticut
Maine
Massachusetts
New Hampshire ....
Rhode Island
Vermont
3.9
3.5
4.3
4.1
4.3
3.9
4.4
3.9
2.5
4.1
4.6
4.4
4.2
4.1
3.9
2.4
3.8
4.6
4.5
4.2
5.2
6.2
.3
21.9
7.6
5.9
4.7
17.4
11.4
6.9
5.7
16.9
10.8
6.5
9.4
-1.6
-2.4
.1
-1.5
-2.6
4.3
6.6
3.7
3.0
2.8
6.6
6.0
3.0
.3
5.2
3.1
7.5
3.1
5.6
.4
-1.4
4.9
1.5
-1.8
1.6
3.0
7.6
6.9
8.1
7.9
7.7
7.3
9.2
2.7
8.8
1.9
-.3
5.8
2.1
2.8
2.6
1.9
-3.0
3.6
5.9
5.3
2.3
-2.2
-2.2
1.7
-5.4
-.4
-.3
-1.3
5.8
5.4
.9
6.8
8.5
5.3
3.6
Mideast
Delaware
District of Columbia
Maryland
New Jersey
New York
Pennsylvania
3.5
5.1
4.3
4.3
4.1
2.7
3.9
2.9
4.6
5.1
3.8
4.2
1.6
3.5
3.0
4.3
5.1
3.8
4.2
1.7
3.6
-2.1
-.8
3.3
3.5
6.2
7.4
-5.5
5.0
8.8
-4.7
4.0
8.3
4.1
4.6
-1.2
.3
1.1
-.7
-1.6
-3.0
4.2
3.4
0
3.5
9.1
1.6
4.7
2.8
4.2
-2.8
1.7
3.4
2.3
3.6
-3.2
7.4
-3.1
3.0
.9
-5.8
6.4
5.5
5.3
6.9
6.6
6.3
6.4
11.4
8.0
62.9
9.7
7.6
6.0
4.1
5.2
6.9
7.7
4.9
3.1
2.9
4.3
.7
2.2
2.6
2.0
-3.1
3.8
-6.2
3.8
7.7
.3
2.3
5.8
3.5
3.5
Great Lakes
Illinois
Indiana
Michigan
Ohio
Wisconsin
4.7
4.5
5.6
4.9
4.1
5.0
4.7
4.2
5.5
5.7
3.7
5.2
4.8
4.3
5.4
5.3
4.2
5.6
-3.7
-11.3
-5.3
6.4
.7
8.4
7.9
5.2
8.1
9.6
10.6
7.0
3.1
1.7
3.8
6.0
1.5
2.6
4.6
5.5
4.3
3.8
3.3
5.6
4.3
3.2
6.2
4.5
4.2
5.7
2.8
1.2
4.2
2.5
4.2
5.5
6.9
6.8
7.8
7.0
6.0
8.2
5.3
5.1
4.7
6.2
3.1
8.6
3.7
2.1
6.5
4.0
3.0
6.9
-2.1
-2.7
1.2
-7.3
-.7
1.6
5.4
8.0
4.8
2.4
5.3
6.6
Plains
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
3.4
.6
4.5
3.9
3.5
4.4
2.7
3.7
3.0
-.8
42
3.6
3.5
4.3
1.9
3.5
4.9
5.0
4.2
5.4
4.3
5.2
5.8
7.8
3.6
3.5
.4
3.3
8.5
7.8
5.6
-5.7
7.2
4.5
5.7
6.2
7.8
13.7
12.7
8.9
1.6
3.2
.9
2.3
-.5
2.4
6.3
7.2
3.6
6.1
2.7
1.5
4.3
3.9
4.1
5.2
4.6
3.8
4.1
6.5
3.1
4.2
5.5
6.7
5.1
6.0
3.4
6.7
3.8
4.3
5.3
5.6
7.6
6.8
7.0
7.7
7.9
6.9
6.7
11.8
5.1
2.8
7.8
5.5
4.5
5.5
6.9
4.1
5.1
6.3
4.7
5.5
4.3
6.5
4.1
6.7
-1.9
.4
-.9
-1.5
-2.9
-10.0
4.4
3.5
6.2
5.8
6.1
6.7
6.0
6.5
4.4
7.8
Southeast
Alabama
Arkansas
Florida
Georgia
Kentucky
Louisiana
Mississippi
North Carolina
South Carolina
Tennessee
Virginia
West Virginia
6.0
5.6
4.6
7.4
6.1
4.9
5.0
6.9
6.4
5.5
5.8
5.2
4.6
5.9
5.3
4.0
7.0
6.7
4.6
4.4
7.7
6.5
5.4
6.0
5.1
3.9
6.1
5.3
4.2
7.1
6.8
5.1
4.6
7.8
6.5
5.6
6.4
5.4
4.2
-1.6
3.0
3.6
-.7
6.7
-2.4
3.8
4.8
7.9
11.6
5.0
-2.2
-13.8
10.9
5.2
3.6
12.5
11.6
9.9
4.1
18.6
13.7
9.6
12.9
10.7
16.8
2.3
2.3
3.1
-.6
2.8
3.6
1.1
3.3
3.3
3.6
3.1
-.1
1.1
5.2
6.1
2.4
6.2
6.4
5.1
2.8
3.8
4.6
4.8
6.6
4.1
3.7
6.2
7.0
4.9
6.4
7.2
5.6
4.7
7.0
5.8
8.3
6.2
4.5
4.6
5.1
4.0
6.5
4.3
2.9
9.9
3.9
4.1
6.0
4.6
6.1
7.8
4.7
9.0
7.9
5.8
9.5
10.6
7.4
7.2
15.3
10.0
8.8
8.0
8.2
9.5
7.2
8.1
8.5
8.5
8.6
2.9
6.5
5.7
5.8
6.4
6.4
5.9
4.9
3.8
1.5
1.7
4.7
3.5
2.6
3.8
3.6
6.8
.1
3.0
4.2
7.3
.1
3.3
-13.7
-2.6
2.0
-1.4
-11.0
12.0
1.7
-6.1
-2.0
3.4
7.5
6.4
5.4
10.1
7.1
3.4
7.9
7.0
8.1
5.3
8.6
6.4
6.2
Southwest
Arizona
New Mexico
Oklahoma
Texas
6.1
7.0
7.7
4.5
6.1
6.2
7.5
8.7
4.2
6.0
5.8
7.0
8.3
4.1
5.7
2.8
0
9.9
.4
2.9
8.0
14.4
20.5
9.2
5.9
2.6
3.9
5.7
2.7
2.3
5.2
6.3
4.9
3.7
5.3
6.2
7.5
8.4
3.0
6.2
4.5
6.8
8.4
3.0
3.9
8.1
9.1
9.6
7.6
7.9
5.7
5.8
10.9
6.3
5.3
4.0
4.3
5.7
.4
4.6
3.2
-.6
2.2
3.6
3.9
6.5
4.8
6.1
3.0
7.4
Rocky Mountain
Colorado
Idaho
Montana
Utah
Wyoming
7.6
7.4
9.3
9.0
6.7
6.1
as
8.3
10.8
10.9
7.2
6.4
7.6
7.7
8.5
6.8
7.5
6.0
4.1
3.4
-2.3
2.1
2.3
7.3
17.3
22.1
12.8
4.7
17.5
7.1
3.0
1.0
7.8
3.5
3.6
3.3
6.7
6.5
6.7
4.8
8.9
4.3
7.9
8.3
9.5
6.2
7.6
4.6
10.6
10.9
8.4
6.5
11.5
12.8
9.4
9.3
9.6
9.8
9.7
7.1
9.6
11.0
9.0
7.1
11.5
4.2
3.8
5.7
6.3
3.6
-.8
8.0
3.3
3.2
8.3
8.4
-2.9
4.0
5.9
5.1
6.6
8.9
6.4
4.3
Far West
Alaska
California
Hawaii
Nevada
3on
•hington
4.0
5.5
3.3
6.6
9.1
6.6
5.1
3.0
5.5
2.1
4.4
10.1
7.0
4.2
2.8
5.5
1.9
4.3
9.8
6.5
3.7
4.1
.7
5.5
2.4
4.5
12.4
-1.0
2.3
23.3
-.9
6.9
27.4
11.0
2.6
-3.3
-6.2
-3.7
-3.3
2.8
2.1
-3.7
2.7
4.5
2.2
-.8
8.2
4.8
3.9
2.7
6.4
1.6
5.0
5.5
6.6
5.3
3.2
10.4
2.0
8.7
11.5
9.7
4.6
5.9
7.3
5.3
5.2
10.2
8.7
6.9
2.5
3.8
3.7
-.2
6.6
7.2
-4.2
3.1
8.1
2.8
2.8
8.2
3.2
2.6
-.4
2.3
-1.7
3.1
3.8
4.0
2.6
6.7
8.2
7.5
7.2
.4
-3.8
2.8
5.1
4.4
6.1
4.0
9.4
3.0
7.6
6.4
6.9
7.6
8.8
8.7
7.6
9.5
5.7
2.7
5.7
5.3
5.1
11.5
5.9
5.8
8.3
2.4
2.6
3.4
3.7
5.1
5.4
2.5
3.6
4.5
3.0
-2.2
-.7
-2.1
-1.9
.8
2.4
.6
1.9
-.3
5.8
4.0
5.4
6.2
7.1
6.5
6.8
5.9
3.7
5.4
1.3
-1.8
.6
Census Divisions
New England
Middle Atlantic
East North Central
West North Central
South Atlantic
East South Central
West South Central
Mountain
Pacific
3.9
3.4
4.7
3.4
6.0
5.7
5.7
7.6
3.8
3.9
2.7
4.7
3.0
5.9
5.7
5.5
8.5
2.8
3.9
2.8
4.8
4.9
6.0
6.0
5.3
7.8
2.6
1. Percent change was calculated from unrounded data.
2. Consists of wage and salary disbursements, other labor income, and proprietors' income.
6.2
-2.3
-3.7
3.6
-6.6
0
2.7
4.4
4.0
11.4
5.2
7.9
7.2
10.7
10.8
5.7
18.4
1.1
-1.6
-1.3
3.1
1.6
1.6
3.0
2.3
3.4
-3.3
4.3
4.4
4.6
3.6
5.0
5.7
4.6
6.6
2.5
3.0
3.0
4.3
4.6
5.6
6.4
5.6
7.6
2.6
April 1994
SURVEY OF CURRENT BUSINESS
127
Local Area Personal Income
• Estimates for 1990-92
• Revisions to the Estimates for 1981-91
f HIS ARTICLE presents new estimates of perx sonal income and per capita personal income for local areas—that is, for counties and
metropolitan areas—for 1992 and revised estimates for 1990-91. It also discusses the sources of
the revisions to the local area estimates for 198191, and it describes the changes in the definitions
of the county-based metropolitan areas that were
issued by the Office of Management and Budget
in June 1993.
Table 1 presents estimates for the metropolitan
areas. Table 2 presents estimates for counties and
county equivalents. For Virginia, estimates are
presented for the larger independent cities as well
as for most counties; estimates for the smaller
independent cities are combined with estimates
for adjacent counties.
Incorporation of new source data
The local area estimates for 1981-91 have been revised to incorporate new source data that were
not available in time to be used in the comprehensive revision to the estimates that was released
in May 1993.1 These data are available either irregularly or less frequently than biennially and
cannot be incorporated into the estimates without revising more than the 2 years of estimates
that are normally revised each year. In addition,
the 1990-91 estimates reflect the routine incorporation of the revisions to the State estimates
that were released in October 1993 and of more
current State and county source data.2
The introduction of the source data changed
both the State and the local area estimates of personal income. The changes to the estimates for
1981-89 resulted from revisions to nonfarm proprietors' income, to some components of farm
proprietors' income, and to the estimates of the
residence adjustment.
1. See Wallace K. Bailey, "Comprehensive Revision of Local Area Personal Income Estimates, 1969-90," SURVEY OF CURRENT BUSINESS 73 (May
1993): 63-87.
2. The State estimates are presented in "State Personal Income, Revised
Estimates for 1990-92," SURVEY 73 (September 1993): 70-85.
Nonfarm proprietors' income.—The State and local area estimates of nonfarm proprietors' income
for 1984-92 now reflect the incorporation of tabulations of data from the 1987-89 Federal income
tax returns of sole proprietors and partnerships;
previously, the most current of these data available to BEA were for 1983. The estimates for
1987-89 are based directly on the data for those
years, and the estimates for 1984-86 are based
on interpolations between the data for 1983 and
1987. The 1990 estimates are extrapolations of
the 1989 estimates for each Standard Industrial
Classification two-digit industry by the change in
the number of small firms reported in the Census Bureau's County Business Patterns. In the
absence of pertinent county data after 1990, the
1991-92 State estimates are allocated to counties
in proportion to the 1990 estimates.
Farm proprietors' income.—The local area estimates of farm proprietors' income for 1983-92
now reflect the full use of data from the 1987
Census of Agriculture; previously, the estimates
of important categories of both gross receipts and
production expenses were based on data from the
1982 census. The 1987 county estimates of gross
receipts from "other" farm-related activities (that
is, other than crop and livestock production) and
of a miscellaneous category of production expenses that includes interest and property taxes
are based on the 1987 census data, and the 198386 estimates are based on interpolations between
the 1982 and 1987 census data. In the absence
of pertinent county data after 1987, the 1988-92
State estimates of these categories are allocated to
counties in proportion to the 1987 estimates.
For 1982-92, both the State and the local area
estimates of farm proprietors' income now reflect
new State estimates of selected farm production expenses prepared by the Department of
Agriculture.
Adjustment for residence.—The State and local
area estimates of this adjustment—the net inflow of the earnings of interstate or intercounty
128 • April 1994
SURVEY OF CURRENT BUSINESS
commuters—for 1981-92 now reflect the incorporation of journey-to-work data from the 1990
Census of Population; previously, the most current journey-to-work data used for the estimates
were those from the 1980 Census. The estimates for 1990 reflect the incorporation of the
journey-to-work data from the 1990 census, and
the estimates for 1981-89 reflect interpolations between the data from the 1980 and 1990 censuses.
The 1990 estimates are extrapolated to 1991-92
by (1) the BEA estimates of wages and salaries by
place of work, (2) Internal Revenue Service tabulations of wages and salaries by place of residence,
which are only available through 1991, and (3)
Census Bureau population estimates.
Changes in the definitions of metropolitan areas
The metropolitan area definitions used by BEA
for its personal income estimates are the countybased definitions issued by the Office of Management and Budget for Federal statistical purposes.
These areas consist of 58 primary metropolitan
statistical areas (PMSA'S), 240 metropolitan statistical areas (MSA'S), and 12 New England county
metropolitan areas (NECMA'S).3 The PMSA'S and
one NECMA are grouped into 17 consolidated
metropolitan statistical areas (CMSA'S).
The estimates presented here reflect the
changes in the metropolitan area definitions issued in June 1993. The following changes were
particularly significant: The division of the former New York-Newark, NY-NJ-PA PMSA into
seven PMSA'S and Pike County, Pennsylvania; the
addition of Pike County to the former Orange
County, NY PMSA, which is now called the Newburgh, NY-PA PMSA; the addition of a formerly
nonmetropolitan county to each of five MSA'S;
and the recognition of the Jackson, TN MSA.4
Tables 1 and 2 follow beginning on page 130. 51
3. For the New England region, BEA uses a county-based definition rather
than a definition in terms of cities and towns, because the available data for
cities and towns are insufficient.
A list of the metropolitan areas and their definitions (Accession Number
PB 93-505-824) is available from the National Technical Information Service
(NTIS). The list in electronic form (Wordperfect 5.1, Accession Number PB
93-505-816) is also available through NTIS . Write to NTIS, Document Sales,
5205 Port Royal Road, Springfield, VA 22161, or call (703) 487-4650.
4. The PMSA'S into which the former New York-Newark PMSA was divided are Bergen-Passaic, NJ; Jersey City, NJ; Middlesex-Somerset-Hunterdon,
NJ; Monmouth-Ocean, NJ; Nassau-Suffolk, NY; New York, NY; and Newark,
NJ.
The MSA'S to which counties were added are Augusta-Aiken, GA-SC; Baton Rouge, LA; Chattanooga, TN-GA; Huntington-Ashland, WV-KY-OH; and
Wilmington, NC.
Acknowledgments
The revised estimates of local area personal income
were prepared by the Regional Economic Measurement
Division under the direction of Linnea Hazen, Chief.
The preparation of the estimates was a divisionwide
effort.
Estimates of nonfarm labor earnings (wages and
salaries and other labor income) were prepared by the
Regional Wage Branch under the supervision of Sharon
C. Carnevale, Chief. Major responsibilities were assigned
to Elizabeth P. Cologer, Lisa C. Ninomiya, Michael G.
Pilot, John A. Rusinko, and James M. Scott. Contributing staff members were E. Frances Bake, Christopher T.
Berry, Susan P. Den Herder, Elizabeth A. Freeman, Lela
S. Lester, Russell C. Lusher, Richard A. Lutyk, Paul K.
Medzerian, Michael Phillips, Adrienne T. Pilot, William
E. Reid, Jr., Dolores A. Rynn, Victor A. Sahadachny,
Eugene L. Souder, Darken K. Won, and Jaime Zenzano.
Estimates of farm earnings (wages and salaries, other
labor income, and proprietors' income) and the residence
adjustments were prepared by the Quarterly Income
Branch under the supervision of Robert L. Brown,
Assistant Division Chief. Major responsibilities were assigned to James M. Zavrel. Contributing staff members
were Elaine M. Briccetti, Daniel R. Corrin, Richard H.
Grayson, Michael S. Wagner, and Daniel Zabronsky.
Estimates of nonfarm proprietors' income, dividends,
interest, rent, transfer payments, and personal contributions for social insurance were prepared by the
Proprietors' Income Branch under the supervision of
Bruce Levine, Chief. Major responsibilities were assigned
to Charles A. Jolley. Contributing staff members were
Sean P. Collier, Catherine A. Cumberland, Toan A. Ly,
Ellen M. Wright, and Marianne A. Ziver.
The assembly of public use tabulations and data files
and the preparation of the text and tables for this article
were performed by the Regional Economic Information
System Branch. Major responsibilities were assigned
to Kathy A. Albetski, Wallace K. Bailey, and Gary V.
Kennedy. Contributing staff members were H. Steven
Dolan, Jeffrey L. Newman, Michael J. Paris, Albert Silverman, Callan S. Swenson, Hilda G. Tolson, Monique
B. Tyes, and Mary C. Williams.
April 1994
SURVEY OF CURRENT BUSINESS
•
129
Data Availability
Personal income by type of payment and earnings by Standard
Industrial Classification (sic) division, as shown in table A, are available for metropolitan areas and counties for 1969-92. A version of
this table that includes earnings by sic two-digit industry is also
available. In addition, there are supplemental tables for employment
by sic division (the "one-digit" level), for transfer payments by program, and for major categories of farm income and expenses.
The entire set of these tables for all counties and metropolitan
areas and for all years will be available on a CD-ROM by the end
of May. This CD-ROM will also contain quarterly State estimates of
personal income for 1969-93, gross state product estimates for 197790, projections of State and metropolitan area personal income and
employment to 2040 that have been updated to reflect the June 1993
changes in the metropolitan area definitions, and a description of the
sources and methods used to estimate local area personal income.
The CD-ROM is designed for use with microcomputers equipped with
the MS-DOS operating system and will include a program to help
users select, display, print, and copy the tables. The price is $35.00.
These tables are also available on magnetic tapes, computer printouts, and microcomputer diskettes. Each table for all years of data
for all the metropolitan areas or for all the counties is available on a
single reel of magnetic tape, but the table that includes earnings by
sic two-digit industry requires two reels at standard blocksize; the
price of each reel of magnetic tape is $100. The tables on computer
printouts are priced by the number of pages; the minimum charge
is $10. The tables on diskette are priced at $20 per diskette.
Materials available without charge include a sample packet of all
available tables, a list of the State agencies and university research
bureaus from which the BEA State and local area estimates can be
obtained, and the description of sources and methods used to prepare the local area estimates.
For information on ordering these products, write to the Regional
Economic Information System, BE-55, Bureau of Economic Analysis,
U.S. Department of Commerce, Washington, DC 20230, or call (202)
606-5360. Visa or Mastercard are accepted for telephone orders.
Table A.—Example of Available Data for Local Areas: Personal Income by Major Source and Earnings by
Major Industry, 1987-92 1
[Thousands of dollars]
New London County, Connecticut
1990
1987
1991
1992
Income by Place of Residence
Total personal income
Nonfarm personal income .
Farm income2
Population (thousands)3
Per capita personal income (dollars)
Derivation of total personal income:
Total earnings by place of work
Less: Personal cont. for sxial insur.4 ...
Plus: Adjustment for residence5
Equals: Net earn, by place of residence
Plus: Dividends, interest, and rent 6
Plus: Transfer payments
4,432,832
4,391,411
41,421
4,649,645
47,082
5,001,642
4,953,590
48,052
5,129,498
5,071,027
251.0
17,664
254.3
18,472
3,352,266
203,584
23,813
3,172,495
728,088
532,249
2,809,178
256,365
286,723
30,829
58,471
5,286,014
5,227,635
58,379
5,567,535
5,505,135
62,400
254.9
19,625
255.2
20,102
254.0
20,809
248.2
22,427
3,557,432
221,909
47,913
3,383,436
753,194
560,097
3,742,284
238,690
3,797,899
41,932
3,545,526
836,872
619,244
3,908,352
259,895
42,070
4,093,050
246,894
55,888
3,606,893
821,127
701,478
3,690,527
813,831
781,656
2,962,737
277,716
316,979
35,200
281,779
3,122,063
306,191
314,030
35,595
278,435
3,169,878
316,737
311,284
42,317
268,967
3,255,450
342,460
310,442
42,424
268,018
3,389,483
367,214
336,353
45,747
47,082
3,510,350
2,717,472
13,303
2,870
252,605
1,041,641
270,198
771,443
177,038
87,800
372,678
105,704
663,833
792,878
140,846
48,052
3,694,232
2,851,514
11,880
3,032
249,006
58,471
58,379
3,739,428
3,849,973
2,902,963
14,695
62,400
4,030,650
3,092,469
4,696,727
269,416
37,331
3,860,965
805,160
901,410
Earnings by Place of Work
Earnings by type:
Wages and salaries .,
Other labor income ...
Proprietors' income7 ,
Farm
Nonfarm
Earnings by industry:
Farm
Nonfarm
Private
Ag. serv., for., fish., and other8
Mining
Construction
Manufacturing
Nondurable goods
Durable goods
Transportation and public utilities
Wholesale trade
Retail trade
Finance, insurance, and real estate
Services
Government and government enterprises .
Federal, civilian
Military
State and local
1. 1987 based on 1972 SIC. 1988-92 based on 1987 SIC.
2. Farm income consists of proprietors' net farm income, the wages of hired labor, the payin-kind of hired farm labor, and the salaries of officers of corporate farms.
3. Census Bureau midyear population estimates. Estimates for 1990-92 reflect State and county
estimates available as of February 1994.
4. Personal contributions for social insurance are included in earnings by type and industry
but excluded from personal income.
5. U.S. adjustment for residence consists of adjustments for border workers: Income of U.S.
255,894
41,421
3,310,845
2,563,059
12,368
2,333
221,444
1,080,152
262,218
817,934
169,799
80,133
339,406
84,716
572,708
747,786
132,857
298,028
316,901
296,219
355,813
1,092,398
2,831,824
13,437
4,236
182,679
1,108,053
801,063
329,023
816,247
194,389
207,956
289,288
803,110
194,913
306,990
94,770
377,057
87,259
360,025
106,697
104,553
723,905
842,718
144,193
298,470
400,055
4,681
162,562
1,145,270
775,049
907,604
158,604
322,619
426,381
348,428
110,261
820,122
947,010
156,766
325,580
464,664
290,606
14,799
7,480
203,491
1,099,736
358,943
740,793
205,725
95,278
358,137
117,911
989,912
938,181
164,845
292,876
480,460
residents commuting outside U.S. borders to work less income of foreign residents commuting
inside U.S. borders to work plus certain Caribbean seasonal workers.
6. Includes the capital consumption adjustment for rental income of persons.
7. Includes the inventory valuation and capital consumption adjustments.
8. "Other" consists of wages and salaries of U.S. residents employed by international organizations and foreign embassies and consulates in the U.S.
D
Not shown to avoid disclosure of confidential information. Estimates are included in totals.
L
Less than $50,000. Estimates are included in totals.
April 1994
SURVEY OF CURRENT BUSINESS
Table 1.—Total Personal Income and Per Capita Personal Income by Metropolitan Area, 1990-92
Per capita personal income3
Total personal income
Millions of dollars
Area name
Percent
change2
1991
991-92
1990
United States l
Metropolitan portion
Nonmetropolitan portion
1992
,655,420 ,831,697 >,128,373
,928,153 ,073,607 4,318,618
727,267 758,090 809,755
6.1
6.0
6.8
Rank in
U.S.
Dollars
1990
1991 1992
178,641
33,873
55,519
80,619
40,913
104,758
73,025
184,540
35,189
57,388
85,095
43,822
106,805
78,812
196,063
37,562
60,580
91,422
47,203
112,702
84,663
21,635
18,588
19,397
19,868
20,600
20,175
19,452
301,614
62,388
31,851
306,300
63,975
33,058
318,442
64,453
35,218
491,234
502,459
533,759
25,229 25,760 27,259
126,512
33,612
28,820
130,654
35,527
30,107
137,832
38,081
31,777
21,443 22,056 23,210
18,614 19,148 20,076
19,271 19,550 20,326
155,119
63,334
158,704
67,616
166,781
73,562
24,755 25,057 26,019
21,161 22,123 23,492
159,226
165,232
173,591
23,593 24,173 25,087
Abilene, TX
Akron, OH*
Albany, GA
Albany-Schenectady-Troy, NY
Albuquerque, NM
Alexandria, LA
Allentown-Bethlehem-Easton, PA ....
Altoona, PA
Amarillo, TX
Anchorage, AK
1,871
11,658
1,597
16,829
9,626
1,838
11,236
1,925
3,041
5,489
1,947
12,025
1,709
17,378
10,235
1,900
11,669
2,005
3,212
5,824
2,081
12,756
1,782
18,297
10,945
1,983
12,460
2,151
3,482
6,166
6.9
6.1
4.2
5.3
6.9
4.4
6.8
7.3
8.4
5.9
15,658
17,702
14,190
19,501
16,274
13,969
18,839
14,741
16,222
24,119
16,438
18,106
15,063
20,017
16,990
14,420
19,387
15,292
16,976
24,791
Ann Arbor, Ml*
Anniston, AL
Appleton-Oshkosh-Neenah, Wl
Asheville, NC
Athens, GA
Atlanta, GA
Atlantic-Cape May, NJ*
Augusta-Aiken, GA-SC
Austin-San Marcos, TX
Bakersfield, CA
Baltimore, MD*
Bangor, ME (NECMA)
Barnstable-Yarmouth, MA (NECMA)
Baton Rouge, LA
Beaumont-Port Arthur, TX
Bellingham, WA
Benton Harbor, Ml
Bergen-Passaic, NJ*
Billings, MT
Biloxi-Gulfport-Pascagoula, MS
Binghamton, NY
Birmingham, AL
Bismarck, ND
Bloomington, IN
Bloomington-Normal, IL
Boise City, ID
Boston-Worcester-Lawrence-LowellBrockton, MA-NH (NECMA)
Boulder-Lonqmont, CO*
Brazoria, TX*
Bremerton, WA*
Brownsville-Harlingen-San Benito,
TX
Bryan-College Station, TX
Buffalo-Niagra Falls, NY
Burlington, VT (NECMA)
Canton-Massillon, OH
Casper, WY
Cedar Rapids, IA
Champaign-Urbana, IL
Charleston-North Charleston, SC
Charleston, WV
10,064
1,577
5,522
3,199
1,910
60,882
7,229
6,906
14,511
8,592
10,313
1,671
5,802
3,351
1,992
63,623
7,265
7,256
15,470
8,918
10,919
1,764
6,264
3,610
2,104
5.9
5.6
8.0
7.7
5.6
7.9
6.5
6.5
9.3
4.4
20,453
13,570
17,474
16,622
15,063
20,439
22,556
16,528
17,059
15,682
50,776
2,305
4,155
8,438
5,742
2,157
2,579
36,035
1,907
4,155
54,545
2,498
4,459
9,742
6,653
2,508
2,836
38,360
2,185
4,776
4.2
5.4
7.4
6.2
5.7
7.0
8.1
21,253
15,678
22,203
15,938
15,893
16,724
15,985
28,181
16,803
13,301
4,639
14,8V
1,337
1,589
2,360
5,128
52,325
2,370
4,282
8,986
6,175
2,335
2,670
36,291
2,043
4,420
4,787
15,561
1,389
1,678
2,450
5,504
20,656
14,452
18,158
17,187
15,576
20,806
22,440
16,865
17,696
15,651
21,678
16,100
22,834
16,733
16,888
17,518
16,553
28,307
17,730
13,965
4,946
16,679
1,51:
1,804
2,675
6,067
3.3
7.2
8.9
7.5
9.2
102
17,533
17,594
15,935
14,54
18,21
17,204
128,494
4,776
3,243
3,324
130,808
5,177
3,464
3,635
136,695
5,60"
3,604
3,945
4.5
8.2
4.0
8.5
2,512
1,522
21,277
3,359
6,530
1,193
3,192
2,835
7,844
4,31
2,680
1,61"
22,194
3,448
6,71
1,242
3,310
2,889
8,225
4,529
2,966
1,743
23,242
3,652
7,130
1,275
3,534
3,059
8,584
4,841
21,72/
2,535
7,039
1,292
164,535
2,757
28,91
2,060
43,861
6,644
1,834
7,898
3,81
22,51
2,654
7,237
1,360
169,936
2,83
30,014
2,212
45,363
7.13C
1.96S
8,224
4,07'
WV
23,312
20,140
20,959
21,692
22,592
21,484
21,367
Metropolitan Statistical Areas 4
Charlotte-Gastonia-Rock Hill, NC-SC
Charlottesville, VA
Chattanooga, TN-GA
Cheyenne, WY
Chicago, IL*
Chico-Paradise, CA
Cincinnati, OH-KY-IN*
Clarksville-Hopkinsville, TN-KY
Cleveland-Lorain-Elyria, OH *
Colorado Springs, CO
Columbia, MO
Columbia, SC
Columbus, GA-AL
See footnotes at end of table.
18,051
18,303
16,409
15,265
18,607
17,801
17,263
19,056
15,461
20,976
17,758
15,186
20,545
16,384
18,172
25,077
21,630
15,158
19,338
18,283
16,316
21,849
23,720
17,414
18,770
15,836
22,412
17,063
23,592
17,831
17,989
18,184
17,566
29,710
18,506
14,744
18,606
19,428
17,575
16,239
20,049
18,982
203
118
286
60
177
288
71
247
161
16
49
290
106
155
252
43
24
194
131
277
37
215
25
174
170
160
185
4
141
294
138
102
184
259
88
123
22,589
21,129
16,837
17,318
23,094
22,359
17,402
18,145
24,109
23,513
17,681
18,717
21
26
179
132
10.8
7.7
4.7
5.9
6.2
2.6
6.8
5.9
4.4
6.9
9.59C
12,48'
17,88'
18,907
16,552
19,486
18,870
16,382
15,406
17,214
9,923
13,173
18,614
19,207
16,915
20,056
19,396
16,632
15,703
16,009
308
300
100
83
173
76
73
191
259
116
24,107
2,796
7,711
1,44
180,636
3,002
32,006
2,547
47,824
7,708
7.1
5.4
6.5
5.9
6.3
6.0
6.6
15.1
5.4
8.1
18,592
19,248
16,572
17,663
22,15^
15,0218,904
12,091
19,904
16,724
18,876
19,906
16,906
18,432
22,692
15,169
19,427
13,066
20,51
17,650
2,105
8,71
4,354
6.9
6.0
6.9
10,649
13,923
19,467
20,150
17,855
20,377
20,443
17,459
16,239
19,119
19,884
20,796
17,895
19,093
23,89
15,935
20,517
14,295
21,533
18,300
18,004
18,47
16,11
7,739
7,725
16,913
9,306
16,269 17.165
17,339 17,699
14,594 15,624
Rank in
U.S.
Dollars
1990
1991
1992
1990
1991
1992
Columbus, OH
Corpus Christi, TX
Cumberland, MD-WV
Dallas, TX*
Danville, VA
Davenport-Moline-Rock Island, IA-IL
Dayton-Springfield, OH
20,663 20,679 21,162
19,458 19,611 19,477
19,787 20,398 21,614
22,154
19,080
19,955
20,543
21,591
20,460
20,419
Percent
change2
Millions of dollars
Area name
24,664
5,137
1,468
55,091
1,575
6,334
16,900
27,845
5,917
1,580
62,682
1,717
6,854
18,665
7.6
7.3
3.9
7.4
6.4
5.6
5.3
18,264
14,648
14,456
20,481
14,461
18,041
17,749
18,859
15,474
14,963
21,266
14,775
18,356
18,512
19,974
16,371
15,566
22,424
15,705
19,243
19,411
92
249
284
35
282
107
103
Daytona Beach, FL
Decatur, AL
Decatur, IL
Denver, CO*
Des Moines, IA
Detroit, Ml*
Dothan, AL
Dover, DE
Dubuque, IA
Duluth-Superior, MN-Wl
Dutchess County, NY*
Eau Claire, Wl
El Paso, TX
Elkhart-Goshen, IN
Elmira, NY
Enid, OK
Erie, PA
Eugene-Springfield, OR
Evansville-Henderson, IN-KY
Fargo-Moorhead, ND-MN
Fayetteville, NC
Fayetteville-Springdale-Rogers, AR ,
Flint, Ml*
Florence, AL
Florence, SC
Fort Collins-Loveland, CO
Fort Lauderdale, FL*
Fort Myers-Cape Coral, FL
Fort Pierce-Port St. Lucie, FL
Fort Smith, AR-OK
Fort Walton Beach, FL
Fort Wayne, IN
Fort Worth-Arlington, TX*
Fresno, CA
Gadsden, AL
Gainesville, FL
Galveston-Texas City, TX*
Gary, IN*
Glens Falls, NY
Goldsboro, NC
Grand Forks, ND-MN
Grand Rapids-Muskegon-Holland,
Ml
Great Falls, MT
Greeley, CO*
Green Bay, Wl
Greensboro- Winston-Salem-High
Point, NC
Greenville, NC
Greenville-Spartanburg-Anderson,
SC
Hagerstown, MD*
Hamilton-Middletown, OH*
Harrisburg-Lebanon-Carlisle, PA
Hartford, CT (NECMA)
Hickory-Morganton, NC
Honolulu, HI
Houma, LA
Houston, TX*
Huntington-Ashland, WV-KY-OH
Huntsville, AL
Indianapolis, IN
Iowa City, IA
6,313
2,037
2,110
34,181
7,777
87,449
1,919
1,626
1,427
3,686
5,619
2,084
6,863
2,651
1,517
908
4,478
4,519
4,900
2,487
3,559
3,293
7,245
1,915
1,696
3,158
28,114
6,563
5,177
2,471
25,870
5,513
1,521
58,370
1,614
6,492
17,719
6,536
2,183
2,147
36,565
8,183
88,794
2,033
1,738
1,471
3,873
5,673
2,166
7,124
2,714
1,574
933
4,682
4,692
5,043
2,579
3,811
3,510
7,698
2,011
1,795
3,394
28,737
6,801
5,383
2,589
6,895
2,326
2,252
39,331
8,798
93,890
2,180
1,846
1,585
4,111
5,894
2,322
7,854
2,955
1,640
981
4,983
5,003
5,435
2,783
5.5
6.5
4.9
7.6
7.5
5.7
7.3
6.2
7.7
6.1
2,333
8,184
25,527
12,146
1,387
2,931
3,787
10,373
1,898
1,379
1,525
2,520
8,365
26,724
12,431
1,430
3,102
4,023
10,723
1,938
1,446
1,548
4,451
3,914
7,893
2,141
1,920
3,643
30,068
7,151
5,635
2,854
2,709
8,969
28,740
13,176
1,547
3,309
4,317
11,278
2,063
1,543
1,678
3.9
7.2
10.2
8.9
4.2
5.2
6.4
6.6
7.8
7.9
16.8
11.5
2.5
6.5
7.0
7.4
4.6
5.1
4.7
10.2
7.5
7.2
7.5
6.0
8.2
6.7
7.3
5.2
6.4
6.7
8.3
15,650
15,419
18,004
20,995
19,715
20,483
14,624
14,567
16,509
15,342
21,618
15,135
11,508
16,949
15,922
16,021
16,235
15,908
17,542
16,184
12,928
15,500
16,809
14,543
14,786
16,885
22,276
19,396
20,361
14,023
16,139
17,904
18,663
15,964
13,889
16,078
17,344
17,118
15,954
13,146
14,804
15,805
16,267
18,254
21,965
20,457
20,705
15,372
15,182
16,953
16,098
21,739
15,591
11,615
17,237
16,545
16,580
16,856
16,313
17,971
16,606
13,725
16,101
17,798
15,099
15,352
17,682
22,393
19,603
20,649
14,533
16,987
18,175
19,124
15,835
14,320
16,692
18,032
17,523
16,142
13,571
15,121
16,348
17,100
19,134
22,930
21,647
21,796
16,359
15,909
18,172
17,060
22,424
16,600
12,497
18,547
17,231
17,398
17,819
17,202
19,215
17,656
16,050
17,339
18,208
15,949
16,192
18,389
23,107
20,312
21,233
15,806
17,656
19,360
20,250
16,376
15,500
17,468
18,928
18,285
17,056
14,325
16,257
251
214
115
31
48
45
250
275
161
218
35
243
307
140
205
195
175
208
108
181
270
200
158
273
262
148
30
78
54
278
181
105
79
248
285
190
124
154
219
297
258
16,308
1,241
1,956
3,522
17,166
1,305
2,080
3,707
18,249
1,383
2,271
3,996
6.3
6.0
9.2
7.8
17,320
15,974
14,822
18,037
17,987
16,651
15,592
18,684
18,924
17,452
16,718
19,845
125
192
239
96
19,457
1,671
20,111
1,759
21,503
1,890
6.9
7.4
18,467 18,865 19,940
15,417 15,854 16,809
94
233
13,202
1,954
4,962
11,190
27,085
4,663
18,448
2,276
65,995
4,369
5,361
26,638
1,652
2,340
6,086
1,206
16,443
1,529
2,100
2,365
10,753
13,673
2,014
5,174
11,718
27,400
4,779
19,336
2,421
71,324
4,590
5,694
27,853
1,730
2,403
6,437
1,267
17,164
1,601
2,178
2,404
11,011
14,453
2,114
5,555
12,394
28,554
5,156
20,597
2,497
76,742
4,947
6,186
29,893
1,836
2,523
6,863
1,391
18,238
1,847
2,278
2,637
11,853
5.7
5.0
7.4
5.8
4.2
7.9
6.5
3.2
7.6
7.8
8.6
7.3
6.1
5.0
6.6
9.8
6.3
15.4
4.6
9.7
7.7
15,836
16,037
16,937
18,976
24,090
15,904
22,009
12,445
19,741
13,981
18,206
19,242
17,145
15,586
15,354
15,418
18,010
10,201
14,796
16,906
19,440
16,945
16,846
18,211
20,609
25,461
17,233
23,864
13,389
21,737
15,711
20,082
20,992
18,824
16,628
16,945
17,340
19,146
12,782
16,083
18,474
21,359
225
232
157
68
15
204
23
301
46
281
86
59
128
241
225
199
113
306
268
142
53
6,421
3,560
6,744
3,712
7,217
3,923
7.0
5.7
261
253
Joplin, MO
Kalamazoo-Battle Creek, Ml
Kankakee,IL*
Kansas City, MO-KS
Kenosha, Wl*
Killeen-Temple, TX
Knoxville, TN
Kokomo, IN
La Crosse, WI-MN
Lafayette, LA
1,950
7,374
1,570
30,369
2,163
3,298
9,699
1,711
1,959
4,704
2,078
7,758
1,612
31,854
2,270
3,319
10,346
1,766
2,037
4,999
7.0
5.7
7.2
6.3
6.7
14.2
8.4
6.9
6.7
5.7
Lafayette, IN
Lake Charles, LA
Lakeland-Winter Haven, FL
2,494
2,409
6,229
2,608
2,626
6,472
2,223
8,200
1,728
33,871
2,421
3,792
11,211
1,887
2,173
5,283
2,805
2,768
6,816
14,699 15,313 16,232
14,763 15,398 16,291
14,435 15,283 16,165
17,137 17,918 18,793
16,257 16,525 17,471
19,133 19,876 20,948
16,805 17,242 18,071
12,897 13,225 14,878
16,498 17,272 18,364
17,618 18,026 19,141
16,793 17,411 18,417
13,630 14,300 14,954
7.6
5.4
5.3
15,428 15,979 17,015
14,322 15,438 16,137
15,292 15,676 16,268
221
264
256
1992
18,667 19,163 20,105
19,797 20,289 21,247
14,266 14,761 15,628
Consolidated Metropolitan
Statistical Areas
Chicago-Gary-Kenosha, IL-IN-WI
Cincinnati-Hamilton, OH-KY-IN
Cleveland-Akron, OH
Dallas-Fort Worth, TX
Denver-Boulder-Greeley, CO
Detroit-Ann Arbor-Flint, Ml
Houston-Galveston-Brazoria, TX
Los Angeles-Riverside-Orange
County, CA
Miami-Fort Lauderdale, FL
Milwaukee-Racine, Wl
New York-No. New Jersey-Long
Island, NY-NJ-CT-PA
Philadelphia-Wilmington-Atlantic
City, PA-NJ-DE-MD
Portland-Salem, OR-WA
Sacramento-Yolo, CA
San Francisco-Oakland-San Jose,
CA
Seattle-Tacoma-Bremerton, WA
Washington-Baltimore, DC-MD-VA-
Per capita personal income3
Total personal income
95
64
172
117
22
274
72
299
51
153
169
143
265
Jackson. Ml
Jackson, MS
Jackson, TN
Jacksonville, FL
Jacksonville, NC
Jamestown, NY
Janesville-Beloit, Wl
Jersey City, NJ
Johnson City-Kingsport-Bristol, TNVA
Johnstown, PA
991-92
16,216
16,281
17,291
19,655
24,357
16,148
22,744
13,094
20,749
14,631
18,955
19,816
17,940
15,893
16,089
16,032
18,409
10.638
15,331
17,036
19,889
1992
263
130
189
61
167
293
151
114
145
292
April
SURVEY OF CURRENT BUSINESS
Table 1.—Total Personal Income and Per Capita Personal Income by Metropolitan Area, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1992
1991-92
Rank in
U.S.
Dollars
1991
18,918
8,031
1,542
1,908
19,417
1,326
1,724
13.7
8.3
9.2
7.1
12.0
8,972
12,279
18,928
14,302
13,183
19,002 20,018
17,576 18.401
9,624 10,387
12,493 13,016
19,127 19,994
14,853 15,682
13,832 14,310
1,757
7,435
2,551
3,927
9,012
3,166
187,096
18,178
3,626
3,265
1,836
7,937
2,732
4,171
9,805
3,393
194,054
19,556
3,860
3,428
4.5
6.8
7.1
6.2
8.8
7.2
3.7
7.6
6.5
5.0
16,412 16,784 17,677
17,351 18,008 18,893
16,019 16,442 17,497
17,237 18,123 18,995
16,481 17,367 18,650
15,531 16,147 17,178
20,752 20,907 21,434
18,197 18,959 20,211
15,801 16,181 17,185
16,341 16,625 17,276
4,721
7,311
2,690
3,487
2,345
7,104
18,001
2,566
34,274
26,695
4,957
7,756
2,711
3,771
2,472
7,484
18,800
2,612
35,238
27,483
5,234
8,322
2,827
4,126
2,655
7,964
20,177
2,783
34,384
29,396
5.6
7.3
4.3
9.4
7.4
6.4
7.3
6.5
-2.4
7.0
16,187 16,800 17,528
19,837 20,698 21,883
15,458 15,500 16,109
9,008
9,386
9,802
15,920 16,410 17,230
17,621 18,019 18,715
17,821 18,405 19,517
14,266 14,057 14,717
17,629 17,807 17,124
26,106 26,617 28,082
Milwaukee-Waukesha, W l *
Minneapolis-St. Paul, MN-WI
Mobile, AL
Modesto, CA
Monmouth-Ocean, NJ
Monroe, LA
Montgomery, AL
Muncie, IN
Myrtle Beach, SC
Naples, FL
28,581
29,617
54,579
56,693
7,316
2,316
4,377
31,604
60,958
7,833
6,615
25,040
2,200
5,444
2,112
2,443
4,486
6.7
7.5
7.1
5.8
6.5
7.0
6.7
7.0
5.5
2.5
19,927
21,421
14,135
16,130
23,154
13,655
16,465
15,741
15,182
27,300
Nashville, TN
Nassau-Suffolk, NY*
New Haven-Bridgeport-StamfordDanbury-Waterbury, CT*
New London-Norwich, CT (NECMA)
New Orleans, LA
New York, NY*
Newark, NJ*
Newburgh, NY-PA*
Norfolk-Virginia Beach-Newport
News, VA-NC
Oakland, CA*
18,127
69,738
19,219
70,774
21,049
73,825
9.5
4.3
18,333 19,144 20,569
26,736 26,992 27,961
90
146
309
305
91
283
298
180
127
188
121
136
210
52
82
209
202
187
42
266
310
206
133
99
295
211
6
44
29
278
236
17
289
171
186
271
9
70
7
45,370
5,129
21,038
210,790
48,727
6,174
45,830
5,286
22,256
216,605
50,182
6,376
48,531
5,568
23,562
231,232
53,526
6,779
5.9
5.3
5.9
6.8
6.7
6.3
27,790
20,102
16,382
24,661
25,434
18,300
28,070
20,809
17,227
25,362
26,188
18,609
29,777
22,427
18,087
27,039
27,830
19,463
3
34
165
10
8
101
24,258
48,767
25,475
49,501
27,056
52,327
6.2
5.7
16,735 17,412
23,333 23,387
18,077
24,359
2,855
3,887
15,701
2,946
11,851
58,721
21,645
1,318
1,909
2,245
3,003
4,178
16,333
3,207
12,533
58,993
22,628
1,398
2,057
2,355
3,198
4,370
17,356
3,496
13,288
61,252
24,262
1,486
2,204
2,515
6.5
4.6
6.3
9.0
6.0
3.8
7.2
6.4
7.1
6.8
14,500 14,799 15,375
17,235 18,189 18,692
16,355 16,834 17,645
18,076 18,925 19,801
18,476 19,297 20,242
24,292 24,113 24,651
17,465 17,734 18,596
15,103 15,908 16,736
14,988 15,787 16,445
15,044 15,761 16,736
5,174
6,179
105,962
5,458
6,263
109,572
40,237
1,121
45,437
2,693
5,115
41,676
1,150
5,886
6,574
115,670
44,319
1,227
47,864
2,835
5,166
50,956
2,904
5,420
29,292
30,949
33,193
7.8
5.0
5.6
6.3
6.6
6.5
2.4
4.9
7.3
14,972 15,481 16,287
18,183 18,317 19,193
21,511 22,188 23,397
17,916 18,244 19,018
13,136 13,476 14,386
18,969 19,946 21,175
19,335 20,567 21,226
20,993 21,116 22,178
19,192 19,716 20,681
166
20
287
134
183
97
80
19
139
237
245
237
254
110
27
120
296
57
55
40
66
17,372
17,656
18,488
Provo-Orem, UT
Pueblo, CO
Punta Gorda, FL
Racine, WP
Raieigh-Durham-Chapel Hill, NC
Rapid City, SD
Reading, PA
Redding, CA
Reno, NV
Richland-Kennewick-Pasco, WA ......
3,01
1,728
1,945
3,270
16,725
1,248
6,516
2,446
5,925
2,538
3,313
1,844
2,014
3,440
17,672
1,348
6,673
2,550
6,313
2,776
3,590
1,963
2,118
3,614
19,172
1,436
7,111
2,713
6,856
3,055
8.4
6.5
5.1
5.0
8.5
6.5
6.6
6.4
8.6
10.1
11,399 12,314
14,045 14,977
17,265 17,251
18,641 19,361
19,420 19,986
15,279 16,102
19,310 19,581
16,456 16,539
23,113 24,035
16,786 17,840
Richmond-Petersburg, VA
Riverside-San Bernardino, CA*
18,535
44,485
18,952
45,760
19,985
48,048
5.5
5.0
21,314 21,517
16,910 16,703
1991
8,035
7,321
1,208
1,676
16,433
1,175
1,468
8,178
7,656
1,356
1,762
17,775
1,238
1,540
1,729
7,070
2,475
3,696
8,475
3,012
184,246
17,294
3,521
3,178
Macon, GA
Madison, Wl
Mansfield, OH
McAllen-Edinburg-Mission, TX
Medford-Ashland, OR
Melbourne-Titusville-Palm Bay, FL ..
Memphis, TN-AR-MS
Merced, CA
Miami, FL*
Middlesex-Somerset-Hunterdon, NJ *
Lewiston-Auburn, ME (NECMA)
Lexington, KY
Lima, OH
Lincoln, NE
Little Rock-North Little Rock, AR
Longview-Marshall, TX
Los Angeles-Long Beach, CA*
Louisville, KY-IN
Lubbock, TX
Lynchburg, VA
Ocala, FL
Odessa-Midland, TX
Oklahoma City, OK
Olympia, WA*
Omaha, NE-IA
Orange County, CA*
Orlando, FL
Owensboro, KY
Panama City, FL
Parkersburg-Marietta, WV-OH
Pensacola, FL
Peoria-Pekin, IL
Philadelphia, PA-NJ*
Phoenix-Mesa, AZ
Pine Bluff, AR
Pittsburgh, PA
Pittsfieid, MA (NECMA)
Portland, ME (NECMA)
Portland-Vancouver, OR-WA4
Providence-Warwick-Pawtucket, Rl
(NECMA)
6,759
6,054
22,892
1,941
4,829
1,883
2,200
4,209
6,250
23,522
2,055
5,103
1,974
18,942
20,526
21,955
15,054
16,179
23,640
14,368
17,126
16,485
15,524
27,327
1992
21,797
23,284
15,806
16,738
24,935
15,181
17,931
17,543
16,040
27,232
19,273 20,214
13,052
15,863
17,761
20,131
21,086
16,896
20,723
17,212
25,529
18,989
22,303
17,021
81
304
276
176
84
58
228
65
207
14
122
38
220
1. The personal income level shown for the United States is derived as the sum of the county estimates; it
differs from the national income and product accounts (NIPA) estimate of personal income because, by definition,
it omits the earnings of Federal civilian and military personnel stationed abroad and of U.S. residents employed
abroad temporarily by private U.S. firms. It can also differ from the NIPA estimate because of different data sources
and revision schedules.
2. Percent change was calculated from unrounded data.
Area name
1992
1990
6.3
4.9
Lancaster, PA
Lansing-East Lansing, Ml
Laredo, TX
Las Cruces, NM
Las Vegas, NV-AZ
Lawrence, KS
Lawton, OK
Per capita personal income3
Total personal income
Percent
change2
Millions of dollars
1990
1991
1992
1992
1990
1991
1992
Rocky Mount, NC
Sacramento, CA*
Saginaw-Bay City-Midland, Ml .
St. Cloud, MN
4,299
2,131
21,245
5,998
2,018
26,251
6,824
2,156
4,394
2,250
21,982
6,098
2,124
27,436
7,075
2,263
4,675
2,386
22,941
6,473
2,224
28,936
7,431
2,442
6.4
6.1
4.4
6.2
4.7
5.5
5.0
7.9
19,117 19,400! 20,661
19,923 20,617 21,595
19,960 20,504: 21,217
18,145
19,055
15,100 15,734 16,262
19,394 19,654 20,398
17,068 17,642 18,461
14,421 14,963 15,991
St. Joseph, MO
St. Louis, MO-IL
Salem, OR*
Salinas, CA
Salt Lake City-Ogden, UT
San Angelo, TX
San Antonio, TX
San Diego, CA
San Francisco, CA*
San Jose, CA*
1,522
50,212
4,320
6,970
16,429
1,513
20,691
49,587
47,572
36,770
1,589
52,158
4,578
7,197
17,598
1,582
21,940
50,820
48,594
37,830
1,651
54,652
4,889
7,485
19,025
1,684
23,825
53,019
50,835
39,626
3.9
4.8
6.8
4.0
8.1
6.5
8.6
4.3
4.6
4.7
15,569 16,273 16,854
20,112 20,793 21,700
15,457 16,026 16,749
19,515 19,847 20,322
15,262 15,992 16,865
15,401 16,151 16,993
15,583 16,264 17,282
19,731 19,875 20,384
29,672 30,115 31,262
24,550 25,038 25,924
67
50
56
119
257
74
144
272
231
47
235
77
230
223
201
75
1
12
3,716
3,814
3,993
4.7
17,036
17,413 18,105
163
8,259
4,889
2,276
8,435
11,443
4,404
10,633
47,025
1,827
8,485
5,011
2,405
8,775
11,825
4,558
11,040
50,269
1,911
8,775
5,263
2,577
9,188
12,372
4,872
11,752
54,743
2,029
3.4
5.0
7.2
4.7
4.6
6.9
6.5
8.9
6.2
22,303
21,311
19,347
21,624
23,233
16,992
16.642
22,966
15,087
22,717
21,883
20,059
22,180
23,726
17,372
17,270
24,149
15,729
1,806
1,527
5,620
1,849
2,525
4,166
5,922
3,657
4,186
11,137
1,855
1,582
5,972
1,940
2,695
4,303
6,354
3,764
4,469
11,223
1,987
1,656
6,385
2,118
2,919
4,606
6,888
4,016
4,784
11,505
7.2
4.7
6.9
9.2
8.3
7.1
8.4
6.7
7.0
2.5
17,345
16,073
14,975
16,036
18,055
16,830
16,320
19,262
15,775
18,459
17,767 18,921
16,578 17,418
16,002 17,061
16,687 18,088
18,906 20,020
17,297 18,387
17,091 18,069
19,689 20,837
16,553 17,357
18,656 19,187
1,893
2,159
7,838
1,243
13,187
10,038
3,719
2,001
2,202
8,097
1,309
13,485
10,505
3,936
2,124
2,323
8,541
1,388
14,159
11,377
4,195
6.2
5.5
5.5
6.0
5.0
8.3
6.6
15,254
15,175
16,183
12,081
17,730
17,002
15,824
15,954
15,490
16,374
12,523
18,003
17,363
16,365
16,780
16,415
16,942
13,171
18,818
18,361
17,103
28
33
62
32
18
156
147
13
242
126
193
217
164
89
149
168
63
197
111
234
246
227
303
129
152
213
37,291
2,162
1,748
38,570
2,283
1,801
40,882
2,462
1,909
6.0
7.8
6.0
17,964
14,650
14,524
18,405
15,439
14,945
19,400
16,551
15,784
10,802
2,995
8,440
10,213
11,793
3,281
9,321
11,493
13,667
2,473
2,880
5,370
9,542
15,088
1,415
2,661
4,971
3,117
116,932
2,175
2,093
27,831
2,684
10,319
6.8
5.5
7.0
6.4
5.3
6.5
7.3
4.9
6.1
4.4
6.7
7.2
9.2
6.9
5.4
6.9
7.8
3.6
4.9
7.7
17,581 17,973 19,166
18,563 19,130 20,076
25,877 26,639 28,443
15,285 15,992 16,651
17,387 17,989 18,681
14,666 15,145 16,092
16,906 17,532 18,648
15,784 16,076 16,870
19,063 19,212 20,084
21,131 21,351 21,977
1,223
2,378
4,519
2,776
106,495
1,972
1,872
25,319
2,428
9,032
11,045
3,110
8,712
10,806
12,982
2,323
2,685
5,119
8,993
14,451
1,327
2,482
4,552
2,916
110,893
2,035
1,943
26,866
2,559
9,582
16,399
17,199
14,391
14,648
25,129
15,909
16,180
29,103
15,272
18,566
17,535 18,371
17,911 19,213
14,084 15,015
16,272
25,801 26,817
16,252 17,345
16,836 17,735
30,347 30,901
16,191 16,964
19,450 20,589
2,107
1,876
10,944
2,688
2,935
2,570
6,427
9,654
1,827
1,303
2,188
1,933
11,335
2,896
3,093
2,671
6,643
10,039
1,971
1,490
2,331
2,061
11,761
3,098
3,379
2,840
6,988
10,531
2,095
1,569
6.5
6.6
3.8
7.0
9.2
6.4
5.2
4.9
6.3
5.2
16,183
15,794
21,235
15,603
15,496
18,101
18,863
16,059
14,796
12,092
17,008 18,197
16,158 17,107
21,671 22,191
16,353 16,997
15,988 17,062
18,536 19,615
19,22! 19,970
16,646 17,381
15,537 -16,078
13,377 13,345
Roanoke, VA
Rochester, M N
Rochester, N Y
Rockford, IL
San Luis Obispo-Atascadero-Paso
Robles, CA
Santa Barbara-Santa Maria-Lompoc,
CA
Santa Cruz-Watsonville, CA*
Santa Fe, NM
Santa Rosa, CA*
Sarasota-Bradenton, FL
Savannah, GA
Scranton-Wilkes-Barre-Hazelton, PA
Seattle-Bellevue-Everett, WA*
Sharon, PA
Sheboygan, Wl
Sherman-Denison, TX
Shreveport-Bossier City, LA
Sioux City, IA-NE
Sioux Falls, SD
South Bend, IN
, Spokane, WA
Springfield, IL
' Springfield, MO
,
Springfield, MA (NECMA)
State College, PA
Steubenville-Weirton, OH-WV
Stockton-Lodi, CA
Sumter, SC
Syracuse, NY
Tacoma, WA*
,
Tallahassee, FL
Tampa-St. Petersburg-Clearwater,
FL
Terre Haute, IN
Texarkana, TX-Texarkana, AR
Toledo, OH
Topeka, KS
Trenton, NJ*
Tucson, AZ
Tulsa, OK
Tuscaloosa, AL
Tyler, TX
Utica-Rome, NY
Vallejo-Fairfield-Napa, CA*
Ventura, CA*
Victoria, TX
Vineland-Millville-Bridgeton, NJ*
Visalia-Tulare-Porterville, CA
Waco, TX
Washington, DC-MD-VA-WV *
Waterloo-Cedar Falls, IA
Wausau, Wl
West Palm Beach-Boca Raton, FL
Wheeling, WV-OH
Wichita, KS
,
Wichita Falls, TX
Williamsport, PA
Wilmington-Newark, DE-MD*
Wilmington, NC
Yakima, WA
Yolo.CA*
York, PA
Youngstown-Warren, OH
Yuba City, CA
Yuma, AZ
12,360
2,215
2,560
5,002
8,686
14,162
1991-92
Rank in
U.S.
Dollars
23,368
22,784
20,893
22,913
24,804
18,222
18,400
25,769
16,618
104
244
280
112
87
5
240
135
267
137
229
85
41
150
109
291
255
11
198
178
2
224
69
159
212
39
222
216
98
93
196
269
302
3. Per capita personal income was computed using Bureau of the Census midyear population estimates. Estimates for 1990-92 reflect State and county population estimates available as of February 1994.
4. Includes Metropolitan Statistical Areas, Primary Metropolitan Statistical Areas (PMSA's designated by *), and
New England County Metropolitan Areas (NECMA's). The New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT
NECMA is presented as a PMSA (part of the New York CMSA).
• April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92
Per capita personal income 3
Total personal income
Area name
Millions of dollars
1990
United States 1
Metropolitan portion
Nonmetropolitan portion
Percent
change 2
1991
1992
4,655,420 4,831,697 5,128,373
3,928,153 4,073,607 4,318,618
727,267 758,090 809,755
1991-92
Dollars
1990
1991
1992
6.1 18,667
6.0 19,797
6.8 14,266
7.0
7.2 15,979
6.7 12,696
15,614 16,522
16,705 17,660
13,374 14,169
68,358
49,243
19,115
Baldwin
Barbour
Bibb
Blount
Bullock
Butler
Calhoun ....
Chambers .
Cherokee ..
482
1,498
332
200
519
105
237
1,577
480
242
519
1,638
366
210
558
115
251
1,671
483
261
552
1,765
393
229
599
120
266
1,764
517
279
6.4
7.8
7.5
9.1
7.3
4.8
6.1
5.6
7.0
7.0
14,034
15,141
13,049
11,982
13,164
9,534
10,825
13,570
13,002
12,330
14,795 15,291
16,020 16,595
14,449 15,563
12,363 13,309
13,975 14,850
10.339 10,961
11,549 12,269
14,452 15,158
13,117 14,021
13,237 14,052
22
8
Chilton
Choctaw ...
Clarke
Clay
Cleburne ..
Coffee
Colbert
Conecuh ...
Coosa
Covington
193
345
169
171
605
735
157
127
459
441
207
364
180
181
655
769
174
133
487
469
217
385
193
185
707
817
184
143
515
6.3
5.0
5.6
7.4
2.5
7.9
6.2
5.9
7.3
5.8
12,572
12,055
12,621
12,745
13,448
15,015
14,194
11,157
11,503
12,573
13,343 14,107
12,913 13,446
13,233 13,869
13,557 14,486
14,191 14,280
16,214 17,168
14,703 15,584
12,206 13,034
11,963 12,904
13,323 13,996
34
47
40
29
33
7
18
55
57
38
Dallas
De Kalb
Elmore
Escambia ...
Etowah
Fayette
Franklin
159
946
638
581
696
679
437
1,387
220
354
169
994
681
617
737
718
459
1,430
226
385
179
1,087
731
649
808
772
479
1,547
242
426
6.3
9.4
7.2
5.2
9.6
7.6
4.3
8.2
7.1
10.7
11,657 12,453 13,322
13,943 14,473 15,583
12,862 13,672 14,637
12,099 12,868 13,511
12,703 13,328 14,453
13,708 14,152 14,705
12,307 12,892 13,294
13,889 14,320 15,500
12,211 12,497 13,422
12,749 13,738 14,969
49
19
28
46
30
26
52
21
48
24
Geneva
Greene
Hale
Henry
Houston
Jackson
Jefferson
Lamar
Lauderdale ...
Lawrence
326
104
163
187
1,281
666
11,758
199
1,180
382
349
110
175
213
1,351
707
12,319
205
1,241
417
375
114
187
228
1,450
771
13,194
218
1,324
445
7.5
3.9
6.8
7.3
7.3
9.0
7.1
6.7
6.6
6.7
14,493 15,619
10,765 11,187
11,156 11,783
13,621 14,662
16,400 17,389
14,596 15,724
18,797 20,061
13,046 13,986
15,355 16,182
12,996 13,821
16
64
60
27
Lee
Limestone .
Lowndes ...
Macon
Madison ....
Marengo ...
Marion
Marshall ....
Mobile
Monroe
1,168
779
131
251
4,583
284
345
1,017
5,261
298
1,203
842
143
264
4,852
305
365
1,076
5,678
333
1,290
942
141
279
5,245
319
395
1,173
6,068
338
7.3
11.8
-1.4
5.9
8.1
4.6
8.2
9.0
6.9
1.5
13,344 13,583 14,358
14,334 15,180 16,570
10,378 11,301 11,115
10,092 10,828 11,452
19,081 19,809 20,876
12,307 13.214 13,732
11,555 12,343 13,310
14,318 14.957 15,957
13,873 14.796 15,591
12,332 13,932 14,067
31
9
65
62
1
43
50
12
17
35
Montgomery .
Morgan
Perry
Pickens
Pike
Randolph
Russell
St. Clair
Shelby
Sumter
3,668
1,655
122
237
359
245
603
641
1,895
166
3,866
1,766
130
248
379
254
628
687
1,997
178
4,120
1,880
137
262
402
263
669
727
2,160
6.6
6.5
5.8
5.7
6.0
3.6
6.4
5.8
8.2
5.8
17,517
16,462
9,623
11,462
13.000
12.318
12.841
12,765
18,927
10,287
4
5
63
58
32
56
45
44
2
61
Talladega ....
Tallapoosa ..
Tuscaloosa .
Walker
Washington .
Wilcox
Winston
907
548
2,215
971
206
129
265
950
571
2,323
1,023
215
138
284
997
621
2,473
1,070
223
141
308
5.0
8.6
6.5
4.6
3.6
1.9
8.5
12,231 12,730
14,086 14,588
14.666 15,145
14,344 15,036
12,359 12,791
9,578 10,036
11,986 12,872
11,550
5,489
6,061
12,226
5,824
6,402
12,970
6,166
6,804
6.1
5.9
6.3
20,887 21,498 22,067
24,119 24,791 25,077
18,627 19,180 19,902
43
157
5,489
178
39
52
172
5,824
190
42
3!
85
1,415
52
59
188
6,166
207
45
37
93
1,522
51
12.8
9.0
5.9
8.6
8.0
6.0
8.9
7.5
-2.2
Alaska
Metropolitan portion
Nonmetropolitan portion
Aleutians East Borough
Aleutians West Census Area ...
Anchorage Borough
Bethel Census Area
Bristol Bay Borough
Denali Borough 4
Dillingham Census Area
Fairbanks North Star Borough ,
Haines Borough
See footnotes at end of table.
98
1,343
52
13,760
10,207
10,488
12,128
15,695
13.903
18,029
12.652
14,769
12,100
18,222 19,162
17,296 18,119
10.422 11,197
11,963 12,532
13,598 14,338
12,708 13,013
13,136 13,586
13,293 13,642
19,343 20,139
11,029 11,651
17,477 19,953
16,481 18,315
24,119 24,791
12,956 13,594
28,259 30,578
19,976
"i7",301 20,703
17,195 17,706
24,806 24,466
13,268
15,806
16,092
15,650
13,208
10,291
13,815
22,133
20,853
25,077
14,416
31,159
21,026
21,732
18,435
24.495
Percent
change 2
Millions of dollars
1992
678
907
720
938
6.2 23,666
3.5 20,803
24,304
21,271
25,390
21,571
5
13
Ketchikan Gateway Borough
Kodiak Island Borough
Lake and Peninsula Borough 4 ....
Matanuska-Susitna Borough
Nome Census Area
North Slope Borough
Northwest Artie Borough
Prince of Wales-Outer Ketchikan
Sitka Borough
Skagway-Yakutat-Angoon
Southeast Fairbanks Census
Area
Valdez-Cordova Census Area
Wade Hampton Census Area
Wrangell-Petersburg
Yukon-Koyukuk Census Area
366
269
615
114
140
89
113
192
95
371
280
28
656
118
150
94
111
200
101
296
30
694
128
158
102
115
210
107
5.4
5.7
6.7
5.8
8.3
5.5
9.1
3.5
4.9
6.6
"i5"319
13,788
23,255
14,524
17,994
22,235
21,579
26,333
20,119
16,537
15,470
14,132
24,135
15,158
17,311
22,981
23,267
27,761
20,805
17,275
15,441
14,954
24,153
16,121
17,983
23,697
24,973
2
16
19
22
23
9
21
18
10
7
20
51
25
66
59
23
37
36
230
59
167
119
93
248
59
173
91
97
269
61
190
95
4.3 15,369
8.8 22,837
4.1 10,173
9.4 23,662
4.7 14,188
16,543
23,824
9,866
24,549
13,862
17,033
25,826
9,993
26,963
14,406
20
4
26
3
25
59,833
53,084
6,749
62,543
55,395
7,148
66,687
58,909
7,778
6.6 16,262
6.3 17,030
12,005
16,697
17,462
12,467
17,401
18,159
13,222
Apache
Cochise
Coconino
Gila
Graham
Greenlee
La Paz
Maricopa
Mohave
Navajo
502
1,247
1,257
510
264
105
228
38,868
1,331
740
542
1,320
1,341
542
278
119
223
40,184
1,422
774
605
1,437
1,470
585
303
135
233
42,793
1,529
840
11.6
8.8
9.7
8.1
8.7
13.3
4.5
6.5
7.5
8.5
8,107 8,674
12,738 13,334
12,938 13,440
12,612 13,153
9,930 10,268
13,124 14,353
16,436 16,253
18,253 18,551
13,979 14,098
9,496 9,797
9,623
14,172
14,302
13,795
10,978
15.671
17,065
19.367
14,417
10,367
Pima
Pinal
Santa Cruz .
Yavapai
Yuma
10,213
1,369
342
1,554
1,303
10,806
1,493
362
1,646
1,490
11,493
1,526
385
1,785
1.569
6.4
2.2
6.2
8.5
5.2
15,285
11,750
11,473
14,314
12,092
15,992
12,631
11,753
14,711
13,377
16,651
12,634
12,104
15,376
13,34!
32,450
16,084
16,367
34,341
17,006
17,335
37,434
18,599
18,835
9.0 13,779
9.4 15,422
8.7 12,474
14,485
16,126
13,171
15,635
17,367
14,233
6
14
3
39
10
41
298
322
448
1,557
386
160
65
251
165
258
306
352
475
1,679
407
166
68
266
174
273
333
374
511
1,882
435
181
73
291
201
299
6.1
7.5
12.1
7.0
9.0
8.1
9.2
16.0
9.5
13,758
13,232
14,333
15,834
13.623
13,548
11,155
13,394
10,551
12,075
14.269
14.397
15,002
16,536
14,209
14,151
11,660
13,953
11,201
12,867
15,628
15,209
15,768
17.827
14,897
15,579
12,744
14,910
12,796
14,028
10
17
9
4
21
11
60
20
57
39
205
250
91
336
243
934
488
631
218
123
221
266
94
353
259
1,001
520
660
239
131
243
288
99
376
279
1,099
571
716
271
140
10.4
8.1
5.2
6.4
8.1
9.8
10.0
8.5
13.4
7.4
11,347
12,823
11,707
13,091
12,698
13,479
11,411
12,622
11,360
12,822
12,272
13,368
12,062
13.741
13,448
14,366
11,914
13,270
12,441
13,699
13,623
14,160
12,592
14,608
14.532
15.487
12,857
14,394
14,071
14,783
42
35
61
25
27
14
54
29
37
22
Desha
Drew
Faulkner
Franklin
Fulton
Garland
Grant
Greene
Hempstead ....
Hot Spring
184
197
830
172
96
1,165
190
369
247
312
198
21
896
185
103
1,230
197
396
260
31
219
235
1,001
197
108
1,316
212
432
296
338
10.5
9.4
11.7
6.9
5.2
7.0
7.5
9.2
13.9
7.2
10,986
11,369
13,727
11,542
9,517
15,836
13,582
11,582
11,396
11,946
11,970
12,373
14,436
12,349
10,313
16,478
13,972
12,257
12,014
12,074
13,460
13,635
15,552
13,038
10,869
17,287
14,693
13,179
13,539
12,795
46
41
12
50
73
5
24
48
45
58
53
13
11
15
54
67
42
Howard
Independence .
Izard
Jackson
Jefferson
Johnson
Lafayette
Lawrence
Lee
Lincoln
192
413
137
22!
1.121
203
99
183
127
119
200
431
147
239
1,150
218
104
200
127
131
220
472
150
272
1,227
243
113
217
144
150
10.0 14,138
9.3 13,245
2.4 12,031
13.9 11,838
6.6 13,136
11.2 11,130
8.5 10,339
8.7 10,524
13.5 9.785
14.7
14,714
13,693
12,760
12,550
13,476
11,765
10,982
11,409
9,799
9,460
16,207
14,933
12,821
14,347
14,386
12,996
12,104
12,535
11,185
10,793
7
19
55
31
30
52
69
63
71
74
11
15
6
24
1
14
12
17
197
245
540
146
144
200
259
576
157
152
200
291
634
175
163
-.3
12.7
10.0
11.5
7.8
14,394
12,602
14,449
13,074
12,479
14,567
14,067
15,490
14,200
13.126
38
13
34
49
Arizona
Metropolitan portion
Nonmetropolitan portion
Arkansas
Metropolitan portion
Nonmetropolitan portion
Arkansas ..
Ashley
Baxter
Benton
Boone
Bradley ....
Calhoun ...
Carroll
Chicot
Clark
Clay
Cleburne
Cleveland
Columbia
Conway
Craighead ....
Crawford
Crittenden ....
Cross
Dallas
Little River
Logan
Lonoke
Madison
Marion
1991
1991-92
1990
1992
1991
639
855
1990
1992
Rank in
State
Dollars
Juneau Borough
Kenai Peninsula Borough
63,863
45,952
17,911
Crenshaw ,
Cullman ....
Area name
1992
19,163 20,105
20,289 21,247
14,761 15,628
60,332
43,416
16,916
Alabama
Metropolitan portion
Nonmetropolitan portion
Per capita personal income 3
Total personal income
Rank in
26,236
20,087
14,076
11,904
13,677
12,531
11,978
13
4
2
1
3
11
12
5
10
April 1994
SURVEY OF CURRENT BUSINESS
• 133
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income3
Total personal income
1990
Miller
Mississippi
Monroe
Montgomery
Nevada
Newton
Ouachita
Perry
Phillips
Pike
Poinsett
Polk
Pope
Prairie
Pulaski
Percent
change 2
Millions of dollars
Area name
1991
1992
1991
1992
496
750
139
93
121
530
782
154
97
129
7.0
4.2
10.8
4.9
6.8
12,387
12,018
11,535
11,527
11,393
12,846
13,129
12,576
11,813
12,062
13,726
14,209
14,139
12,218
12,949
40
33
36
66
53
91
309
129
274
209
635
108
6,218
74
400
95
322
136
302
217
680
112
6,601
80
420
107
353
147
323
239
761
120
7,134
6.8
5.2
12.5
9.6
8.6
7.0
10.1
11.9
7.1
8.1
8,997
12,653
11,474
10,712
12,814
11,127
12,053
13,758
11,360
17,767
9,626
13,401
11,750
11,405
13,597
12,417
12,492
14,392
11,992
18,788
10,406
14,229
12,793
12,575
14,743
13,238
13,613
15,867
12,997
20,188
75
32
59
62
23
47
43
8
5
1
1
197
347
1,036
133
84
1,836
215
181
124
829
7.1
11.2
10.3
7.7
5.4
10.7
8.9
5.9
10,548 11,049
10,776 11,000
13,793 14,305
11,282 12,039
9,681 10,505
16,052 16,520
13,414 14,157
11,392 11,833
10,722 11,353
15,641 16,448
11,616
12,273
15,447
12,806
11,158
18,109
15,066
12,140
12,179
17,832
70
65
15
56
72
2
18
68
67
3
11,127
15,212
12,011
11,642
13,049
12,336
16,911
13,558
14,506
15,291
44
28
1
6
Randolph
St. Francis
Saline
Scott
Searcy
Sebastian
Sevier
Sharp
Stone
Union
1,598
184
161
105
732
184
312
939
123
80
1,659
197
171
114
765
Van Buren
Washington
White
Woodruff
Yell
156
1,736
660
110
232
164
1,831
706
117
247
176
2,032
770
134
276
6.9
11.0
617,679
602,829
14,850
630,901
615,638
15,263
659,567
643,475
16,092
4.5
4.5
5.4
20,656 20,748 21,348
20,834 20,933 21,539
15,336 15,311 15,765
28,164
21
473
2,757
531
301
20,603
302
2,480
10,864
28,434
22
501
2,831
554
314
30,058
22
524
3,002
587
320
22,268
337
2,726
11,754
5.7
1.3
4.4
6.0
6.0
1.9
5.7
5.5
5.3
5.8
21,986 21,986
19,066 18,776
15,619 16,029
15,024 15,169
16,336 16,254
18,423
25,465 25,588
12,610 11,319
19,357 19,340
16,171 16,110
22,988
19,249
16,433
15,935
16,609
18,987
26,491
11.683
19,729
16,658
9
20
43
44
39
2
1
4
58
1
8
38
9.7
4.7
5.9
4.7
4.4
5.2
5.0
8.5
3.7
7.9
14,224 13,551
15,808 16,021
15,244 14,208
17,266 17,409
15,682 15,651
12,628 12,781
16,189 16,678
12,420 13,128
20,752 20,907
14,400 13,841
14,694
16,605
13,827
18,158
15,836
13,174
17,179
14,237
21,434
14,361
50
40
55
25
45
57
3
1
53
14
5
1
34,654 34,805
16,299 15,823
16,189 16,282
14,266 14,057
14,306 13,904
17,675 17,523
19,515 19,847
22,714 23,478
18,028 18,101
24,292 24,113
36,076
16,587
16,972
14,717
14,243
18,712
20,322
24,387
18,653
24,651
1
4
1
33
49
52
23
1
6
7
24
6
California
Metropolitan portion
Nonmetropolitan portion
Alameda
Alpine
Amador
Butte
Calaveras
Colusa
Contra Costa
Del Node
El Dorado
Fresno
Glenn
Humboldt
Imperial
Inyo
Kern
Kings
Lake
Lassen
Los Angeles
Madera
Marin
Mariposa
Mendocino
Merced
Modoc
Mono
Monterey
Napa
Nevada
Orange
354
1,890
1,694
316
8,592
1,286
827
343
184,246
1,282
7,977
235
1,308
2,566
138
178
21,067
320
2,588
11,113
342
1,934
1,684
369
375
2,026
1,783
334
9,306
1,415
924
400
187,096
1,318
194,054
1,422
8,082
236
1,328
8,430
254
1,386
2,783
319
8,918
1,344
880
8.9
13.8
11.8
11,523
15,721
12,637
12,510
13,847
64
6
172
140
186
1,427
58,721
7,197
2,621
1,474
7,485
2,761
1,551
58,993
61,252
4.3
7.9
4.4
6.5
3.4
8.3
4.0
5.3
5.3
3.8
Placer
Plumas
Riverside
Sacramento
San Benito
San Bernardino
San Diego
San Francisco
San Joaquin
San Luis Obispo
3,747
324
21,348
20,023
619
23,137
49,587
20,868
7,838
3,716
3,945
337
21,815
20,904
617
23,945
50,820
21,472
8,097
3,814
4,158
356
22,783
22,052
643
25,265
53,019
22,554
8,541
3,993
5.4
5.6
4.4
5.5
4.4
5.5
4.3
5.0
5.5
4.7
21,364 21,728
16,349 16,710
17,886 17,489
19,070 19,345
16,803 16,483
16,100 16,046
19,731 19,875
28,863 29,571
16,183 16,374
17,036 17,413
22,218
17,170
17,682
20,171
16,760
16,466
20,384
30,942
16,942
18,105
12
32
28
1
7
35
42
1
5
2
34
27
San Mateo
Santa Barbara
Santa Clara
Santa Cruz
Shasta
Sierra
Siskiyou
Solano
Sonoma
Stanislaus
18,727
8,259
36,770
4,889
2,446
52
655
6,160
8,435
6,054
19,040
8,485
37,830
5,011
2,550
55
19,852
8,775
39,626
5,263
9,188
6,615
4.3
3.4
4.7
5.0
6.4
3.8
5.0
6.4
4.7
5.8
28,806
22,303
24,550
21,311
16,456
15,809
14,981
17,884
21,624
16,130
29,056
22,717
25,038
21,883
16,539
16,715
15,059
17,876
22,180
16,179
29,918
23,368
25,924
22,784
17,212
17,575
15,708
18,738
22,913
16,738
5
11
30
29
46
22
10
36
1,094
646
181
4,519
746
1,181
679
188
1,260
729
201
4,971
846
6.7
7.3
6.5
9.2
6.1
16,859 17,542
12,951 13,309
13,855 14,350
14,391 14,084
15,277 15,862
18,136
14,037
15,152
15,015
16,661
26
54
47
48
37
Sutter
Tehama
Trinity
Tulare
Tuolumne
See footnotes at end of table.
6,970
2,526
2,612
135
663
6,371
8,775
6,250
4,552
797
2,713
57
696
6,781
1990
Ventura
Yolo
Yuba
Colorado
Metropolitan portion
Nonmetropolitan portion
Adams
Alamosa
Arapahoe
Archuleta
Baca ...
Bent ....
Boulder
Chaff ee
Cheyenne
Clear Creek
Percent
change 2
Millions of dollars
Area name
1992
1990
477
691
130
90
115
175
307
888
115
76
1991-92
Rank in
State
Dollars
Per capita personal income3
Total personal income
1991
1991-92
1990
1991 1992
790
15,088
2,840
836
4.4
6.4
5.8
21,131 21,351 21,977
18,101 18,536 19,615
12,514 13,268 13,730
66,519
56,190
10,329
71,600
60,517
11,083
7.6
7.7
7.3
18,818 19,740
19,471 20,442
15,935 16,632
20,666
21,366
17,529
4,336
184
9,912
74
94
82
5,177
181
55
141
4,721
193
10,642
79
94
83
5,601
189
57
150
8.9
4.9
7.4
7.7
-.2
1.6
8.2
4.5
3.0
6.8
15,115
13,687
23,531
12,767
21,005
15,121
21,129
13,093
23,085
17,345
16,761
13,942
25,285
13,672
21,150
16,691
23,513
14,630
23,370
18,713
14,162
2,570
733
14,451
2,671
62,163
52,444
9,719
4,024
186
9,264
69
95
76
4,776
166
55
132
1992
Rank in
State
Dollars
15,899
13,337
24,381
13,186
20,881
16,673
22,359
14,219
23,364
17,936
Conejos
Costilla
Crowley
Custer ,
Delta ...
Denver
Dolores
Douglas
Eagle ..
Elbert ..
66
41
43
31
266
10,390
21
1,488
477
70
40
43
33
291
10,983
21
1,617
518
182
74
42
50
35
316
11,830
25
1,748
576
198
5.9
4.8
16.1
8.3
8.4
7.7
19.0
8.1
11.3
9,383 10,043
12,828 12,264 13,070
10,972 10,964 12,780
15,699 16,116 16,583
12,665 13,567 14,395
22,248 23,256 24,449
13,683 15,123 18,200
24,147 24,216 23,845
21,503 22,087 23,419
17,376 17,668 18,281
El Paso
Fremont
Garfield
Gilpin
Grand
Gunnison
Hinsdale
Huerfano
Jackson
Jefferson
6,644
388
506
47
134
137
7,130
408
528
53
144
150
9
75
26
9,716
7,708
446
551
62
153
162
9
80
27
10,390
8.1
9.3
4.3
16.9
6.6
8.0
6.5
6.4
3.9
6.9
16,724 17,650 18,300
12,039 12,699 13,634
16,671 16,927 17,640
15,404 16,688 19,400
16,741 17,667 18,154
13,259 14,321 14,963
17,273 18,701 18,806
11,522 12,772 13,636
14,669 16,240 16,415
20,511 21,768 22,807
42
134
92
553
3,394
177
93
288
1,536
9
41
147
97
602
3,643
185
97
323
1,656
10
-2.8
10.3
5.5
8.9
7.4
4.6
4.8
12.3
7.8
6.5
26,272
18,892
14,156
15,638
16,885
11,881
18,466
16,039
15,202
15,309
23
9,015
25,492
20,452
15,811
17,399
18,389
13,593
21,298
18,774
16,897
17,208
Kiowa
Kit Carson
Lake
La Plata
Larimer
Las Animas
Lincoln
Logan
Mesa
Mineral
44
135
85
508
3,158
163
83
281
1,425
Moffat
Montezuma
Montrose
Morgan
Otero
Ouray
Park
Phillips
Pitkin
Prowers
181
252
352
386
272
38
117
73
403
202
266
378
411
296
41
127
78
426
207
203
291
411
431
311
43
137
79
469
215
8.2
9.3
8.8
4.7
5.2
6.4
8.6
.9
9.9
3.9
15,898 16,310 17,376
13,490 13,993 14,885
14,367 15,101 16,116
17,616 18,405 18,968
13,515 14,728 15,588
16,347 16,697 17,253
16,173 16,460 17,004
17,443 18,873 19,226
31,695 33,565 36,356
15,178 15,582 16,350
Pueblo
Rio Blanco
Rio Grande
Routt
Saguache
San Juan
San Miguel
Sedgwick
Summit
Teller
1,728
88
171
300
57
12
66
46
283
205
1,844
93
162
316
58
11
73
48
318
227
1,963
102
162
338
59
9
80
47
347
259
6.5
9.4
-.4
7.0
.7
-15.8
9.7
-1.6
9.2
14.1
14,045 14,977 15,863
14,877 15,401 16,646
15,933 15,156 15,151
21,100 21,531 22,426
12,193 12,277 12,191
15,432 14,979 15,176
17,680 18,166 18,714
17,158 18,013 17,950
21,691 23,198 23,824
16,376 17,586 18,678
Washington
Weld
Yuma
96
1,956
180
93
2,080
185
95
2,271
181
1.4
9.2
-2.1
20,194 19,578 20,418
14,822 15,592 16,718
20,168 20,761 20,315
83,633
77,584
6,049
84,581
78,516
6,065
89,029
82,652
6,377
5.3
5.3
5.1
25,426 25,705 27,150
25,757 26,071 27,555
21,825 21,757 22,805
27,470
21,014
4,162
3,448
17,901
5,129
2,623
1,887
27,620
21,232
4,149
3,520
18,209
5,286
2,648
1,917
29,356
22,158
4,350
3,639
19,175
5,568
2,757
2,027
6.3
4.4
4.8
3.4
5.3
5.3
4.1
5.8
33,177
24,666
23,855
24,037
22,246
20,102
20,344
18,377
13,193
11,319
1,874
13,748
11,781
1,967
14,318
12,265
2,053
4.1
4.1
4.4
19,719 20,195 20,724
20,389 20,885 21,477
17,137
16,456
1,626
1,738
1,846
6.2
14,567
Connecticut
Metropolitan portion
Nonmetropolitan portion
Fairfield
Hartford
Litchfield
Middlesex
New Haven
New London
Tolland
Windham
Delaware
Metropolitan portion
Nonmetropolitan portion
Kent
26,118
18,653
15,065
16,501
17,682
13,069
20,570
16,610
15,940
16,422
33,305 35,423
24,931 26,161
24,645
24,462 25,181
22,667 23,937
20,809 22,427
20,459 21,213
18,572 19,657
15,182
15,909
1992
SURVEY OF CURRENT BUSINESS
1994
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total persona! income
Percent
ihange2
Millions of dollars
Area name
1990
1991
9,693
1,874
New Castle
1992
10,043
1,967
10,418
2,053
Sussex
14,878
15,491
16,333
244,604
230,987
13,617
254,585
240,170
14,414
265,764
250,601
15,162
2,931
232
1,909
253
7,104
28,114
116
1,945
1,367
1,786
3,102
245
2,057
267
7,484
28,737
122
2,014
1,429
1,874
4,209
555
34,274
326
114
12,038
3,952
420
115
483
Gilchrist
Glades
Gulf
Hamilton
Hardee
Hendry
Hernando
Highlands
Hinsborough
Holmes
Indian River
Jackson
Jefferson
Lafayette
Lake
Lee
Leon
Levy
Liberty
Madison
1991-92
Dollars
1990
3.7 21,854
4.4 16,456
5.4 24,643
1991 1992
26,069 27,909
19,180
19,468
15,390
19,711
19,996
15,956
3,309
260
2,204
287
7,964
30,068
129
2,118
1,508
1,970
6.7 16,078
6.1 12,470
7.1
7.7 11,188
6.4 17,621
4.6 22,276
5.9 10,521
5.1 17,265
5.5 14,447
5.1 16,720
16,692
12,908
15,787
11,620
18,019
22,393
10,847
17,251
14,685
16,999
17,468
13,437
16,445
12,440
18,715
23,107
11,356
17,761
15,123
17,241
2
1
53
29
6
1
15
6
65
1
9
38
22
4,377
587
35,238
361
113
12,528
4,149
445
123
513
4,486
633
34,384
368
123
13,324
4,463
480
132
556
2.5
8.0
-2.4
2.0
8.1
6.4
7.6
7.8
6.9
8.5
27,300 27,327
12,951 13,438
17,629 17,807
13,622 14,898
10,635 10,265
17,780 18,189
15,007 15,540
14,257 14,122
12,843 13,512
11,722 12,241
27,232
14,236
17,124
15,148
10,790
19,011
16,474
14,285
14,272
13,174
4
45
25
37
66
14
28
43
44
56
111
94
142
123
295
403
1,477
1,066
14,214
168
121
102
150
126
312
463
1,561
1,134
14,919
182
131
109
162
136
320
475
1,664
1,171
15,960
196
8.2
6.8
7.7
8.3
2.6
2.6
6.6
3.2
7.0
7.9
11,416
12,300
12,324
11,227
15,085
15,610
14,381
15,454
16,997
10,645
12,029
13,575
12,979
11,353
15,585
17,071
14,626
16,217
17,620
11,406
12,538
14,619
13,814
12,127
15,930
17,128
15,183
16,596
18,589
12,044
60
40
49
63
3
1
24
36
26
17
64
2,275
520
145
66
2,500
6,563
3,235
306
68
183
2,377
563
157
68
2,603
6,801
3,423
328
72
195
2,445
607
170
72
2,776
7,151
3,639
351
78
208
2.9
8.0
8.3
5.6
6.6
5.1
6.3
6.9
9.1
6.6
25,028 25,765 26,158
12,542 13,481 14,335
12,758 13,571 14,473
11,784 12,078 12,550
16,274 16,529 17,217
19,396 19,603 20,312
16,697 17,234 17,920
11,710 12,337 12,920
12,098 12,612 13,584
11,053 11,681 12,430
5
42
41
59
23
11
18
58
52
62
Orange
Osceola
Palm Beach
4,066
2,855
2,897
1,673
771
2,333
383
12,138
1,585
25,319
4,273
3,003
2,995
1,732
823
2,520
400
12,739
1,670
26,866
4,552
3,198
3,129
1,767
880
2,709
417
13,639
1,795
27,831
6.5
6.5
4.5
2.0
6.9
7.5
4.2
7.1
7.5
3.6
19,078 19,806 21,009
14,500 14,799 15,375
28,443 28,900 30,005
21,389 21,853 22,056
17,413 18,054 18,676
16,139 16,987 17,656
12,867 13,105 13,617
17,727 18,176 19,086
14,404 14,405 15,054
29,103 30,347 30,901
10
35
2
8
16
20
50
13
39
1
Pasco
Pinedas
Polk
Putnam
St. Johns
St. Lucie
Santa Rosa
Sarasota
Seminole
Sumter
4,074
17,525
6,229
764
1,848
2,280
1,221
7,377
5,423
371
4,178
17,912
6,472
814
1,939
2,387
1,309
7,552
5,615
399
4,401
18,856
6,816
890
2,064
2,506
1,423
7,820
6,052
432
5.3
5.3
5.3
9.3
6.4
5.0
8.7
3.5
7.8
8.1
14,456
20,496
15,292
11,696
21,786
14,959
14,861
26,403
18,632
11,694
14,726
20,864
15,676
12,267
22,095
15,203
15,296
26,719
18,616
12,424
15,489
22,055
16,268
13,258
22,842
15,553
15,729
27,719
19,544
13,306
34
9
Suwannee
Taylor
Union
Volusia
Wakulla
Walton
Washington
354
221
93
5,893
189
334
193
369
226
99
6,091
201
368
209
395
243
105
6,415
216
402
225
6.9
7.5
5.7
5.3
7.2
9.3
7.9
13,134 13,328
12,866 13,016
9,055
9,527
15,760 15,944
13,160 13,498
12,002 12,817
11,361 12,101
13,94:
14,048
9,922
16,526
13,905
13,592
12,955
47
46
67
27
48
51
57
111,406
82,762
28,644
117,094
86,608
30,485
125,642
93,043
32,599
7.3
7.4
6.9
17,121 17,666 18,549
18,917 19,372 20,283
13,434 14,132 14,912
182
76
113
48
572
139
425
81
215
185
198
80
120
59
620
147
444
832
234
195
205
88
130
58
65;
15;
484
904
244
210
3.3
10.4
8.4
-1.8
6.0
6.9
9.0
8.6
4.4
7.3
11,546
12,244
11,824
13,303
14,443
13,41"
14,132
14,432
13,257
13,095
12,446
12,872
12,440
16,070
15,487
14,00;
14,264
14,322
14,139
13,678
12,801
14,085
13,221
15,983
16,225
14,676
15,076
15,170
14,742
14,550
2,57<
2,717
2,881
6.0
17,145
17,948
18,959
Florida
Metropolitan portion
Nonmetropoiltan portion
Alachua
Baker
Bay
Bradford
Brevard
Broward
Calhoun
Charlotte
Citrus
Clay
Collier
Columbia
Dade
De Soto
Dixie
Duval
Escambia
Flagler
Franklin
Gadsden
„
Manatee
Marion
Martin
Monroe
Nassau
Okaloosa
Okeechobee
Georgia
Metropolitan portion
Nonmetropolitan portion
Appling
Atkinson
Bacon
Baker
Baldwin
Banks
Barrow
Bartow
Ben Hill
Berrien
Bibb
See footnotes at end of table.
30
55
7
33
32
3
12
54
19
3
11
0
127
37
34
8
1
64
60
78
86
Per capita personal income3
Rank in
Dollars
State
1991-92 1990
1991
1992
142
123
11
7
204
519
230
192
65
366
157
132
11
9
218
559
247
203
72
414
164
143
205
237
597
21
6
21
2
73
41
6
45
.
84
.
70
.
83
.
69
.
59
.
86
.
17
.
11.2
13,538
11,071
11,096
12,999
11,974
11,166
12,455
12,999
11,871
14,834
11,683
12,391
13,256
12,653
11,954
13,081
14,456
12,108
15,424
12,289
13,288
13,351
13,179
12,434
14,082
15,120
12,237
49
10
5
124
122
18
2
18
4
12
0
62
11
5
Candler
Carroll
Catoosa
Charlton
Chatham
Chattahoochee
Chattooga
Cherokee
Clarke
Clay
16
0
996
534
9
1
3,839
195
276
1,507
1,306
35
16
1
1,035
555
97
3,972
21
1
294
1,571
1,362
4
1
124
1,101
597
13
0
4,245
21
4
319
1,722
1,434
43
64
.
64
.
74
.
63
.
69
.
14.4
84
.
96
.
53
.
50
.
13,659
13,858
12,511
10,686
17,650
11,613
12,397
16,497
14,876
10,451
14,638
14,195
12,818
11,289
18,109
13,945
13,123
16,227
15,484
12,163
15,398
14,910
13,476
11,688
19,108
14,782
14,202
16,875
16,263
12,629
50
70
18
1
155
7
76
96
2
1
3
1
12
4
Clayton
Clinch
Cobb
Coffee
Colquitt
Columbia
Cook
Coweta
Crawford
Crisp
2,881
66
9,890
409
500
1,129
16
5
893
107
265
3,029
72
10,280
435
528
1,176
165
933
112
284
3,258
79
11,188
41
7
558
1,246
16
7
1,012
19
1
303
76
.
10.4
88
.
82
.
55
.
59
.
69
.
85
.
67
.
64
.
15,738
10,716
21,933
13,777
13,633
16,867
11,615
16,380
11,869
13,227
16,288
11,489
22,148
14,465
14,402
16,736
12,216
16,316
12,107
13,896
17,198
12,697
23,368
15,292
15,093
17,062
13,093
16,775
12,888
14,850
18
10
4
2
53
63
1
9
11
3
23
15
3
72
Dade
Dawson
Decatur
De Kalb
Dodge
Dooly
Dougherty
Douglas
Early
Echols
11
5
140
344
11,406
206
123
1,388
1,112
153
26
18
5
19
4
372
11,880
222
15
4
1,480
1,155
168
27
18
6
10
6
382
12,703
235
19
4
1,545
1,248
175
29
58
.
70
.
29
.
69
.
55
.
30
.
44
.
80
.
39
.
71
.
11,446
14,687
13,446
20,816
11,694
12,455
14,425
15,521
12,893
11,244
11,917
15,058
14,424
21,364
12,449
14,606
15,302
15,721
14,150
11,599
12,556
15,473
14,766
22,542
13,237
14,924
15,801
16,550
14,617
12,571
16
4
47
77
3
16
2
69
42
25
82
144
Effingham
Elbert
Emanuel
Evans
Fannin
Fayette
Floyd
Forsyth
Franklin
Fulton
31
6
254
21
4
16
1
16
8
1,348
1,270
832
249
16,835
368
268
255
124
19
9
1,439
1,345
883
262
17,500
390
280
265
11
3
216
1,570
1,440
968
21
8
18,771
62
.
47
.
38
.
60
.
86
.
91
.
70
.
97
.
72
.
73
.
13,897
13,388
11,730
13,297
11,617
21,312
15,612
18,597
14,924
25,916
13,840
14,108
12,392
14,117
12,248
21,696
16,458
18,763
15,498
26,662
14,202
14,783
12,836
14,731
12,988
22,534
17,515
19,420
16,389
28,194
97
75
16
3
79
13
3
4
14
6
29
1
Gilmer
Glascock
Glynn
Gordon
Grady
Greene
Gwinnett
Habersham ....
Hall
Hancock
192
3
1
1,096
509
233
153
7,289
405
1,581
97
21
0
34
1,135
51
3
249
163
7,735
41
3
1,664
13
0
214
36
1,205
580
267
172
8,440
464
1,797
11
1
64
.
73
.
62
.
92
.
71
.
53
.
91
.
76
.
80
.
77
.
14,252
13,283
17,481
14,463
11,469
12,902
20,436
14,608
16,469
10,841
14,455
14,689
17,914
14,852
12,222
13,506
20,736
15,321
16,930
11,525
14,925
15,867
18,881
15,944
13,021
14,162
21,543
16,193
17,972
12,340
68
4
1
9
38
12
3
98
5
35
1
3
19
4
Haralson
Harris
Hart
Heard
Henry
Houston
Irwin
Jackson
Jasper
Jeff Davis
299
284
284
93
976
1,395
16
0
420
117
162
312
293
295
10
0
1,034
1,454
16
1
444
19
1
165
327
308
312
104
1,119
1,523
11
2
478
19
2
174
49
.
50
.
55
.
41
.
82
.
47
.
39
.
76
.
90
.
58
.
13,569
15,918
14,350
10,686
16,302
15,564
12,224
13,931
13,761
13,484
14,093
16,441
14,860
11,286
16,238
15,873
13,462
14,431
13,867
13,660
14,594
16,895
15,452
11,555
16,512
16,251
13,997
15,223
14,876
14,375
83
20
48
16
5
27
32
107
56
7
1
92
206
89
9
1
320
160
70
552
209
436
96
226
100
98
335
17
6
76
51
9
229
509
102
242
106
105
356
178
8
1
635
236
626
108
69
.
64
.
74
.
63
.
65
.
68
.
75
.
32
.
23.0
54
.
11,856
10,822
10,926
15,393
12,229
12,561
13,793
12,805
8,261
12,797
12,909
12,028
11,663
16,001
12,597
13,331
14,640
13.683
9,498
13,598
13,843
12,561
12,693
16,751
13,159
14,049
15,524
13,557
10,973
14,129
108
145
11
4
24
19
2
15
0
45
16
1
18
5
99
59
1,068
205
280
94
157
292
63
245
82
64
1,128
214
298
11
0
19
6
305
68
258
95
70
1,210
233
318
106
182
325
73
272
96
95
.
72
.
86
.
65
.
52
.
77
.
66
.
74
.
51
.
10
.
9,283
13,999
13,928
13,875
10,880
11,973
13,747
11,301
10,887
13,124
10,300
14,645
14,182
14,586
11,540
12,914
14,079
12,022
11,407
15,029
10,148
15,510
15,065
15,185
11,849
14,092
14,722
12,805
11,972
15,182
19
5
46
65
58
153
100
80
138
152
59
1990
Bleckley
Brantley
Brooks
Bryan
Bulloch
Burke
Butts
Calhoun
Camden
18,785
19,087
14,810
Percent
change 2
Millions of dollars
Area name
1992
22,336 22,897
16,859 17,137
District Of Columbia
4.4
4.3
5.2
Total personal income
Rank in
State
Jefferson
Jenkins
Johnson
Jones
Lamar
Lanier
Laurens
Lee
Liberty
Lincoln
Long
Lowndes
Lumpkin
McDuffie
Mclntosh
Macon
Madison
Marion
Meriwether
Miller
1991
1992
1992
April 1994
SURVEY OF CURRENT BUSINESS
• I35
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income3
'otal personal income
Percent
change2
Millions of dollars
Area name
1990
1991
1992
Dollars
1991-92 1990
1992
267
249
95
14
9
340
2,942
623
325
15
3
596
280
265
10
0
208
376
3,135
670
345
13
4
652
48
.
62
.
51
.
73
.
10.4
66
.
75
.
60
.
63
.
93
.
11,931
14,177
12,482
14,614
12,329
15,200
14,031
17,555
13,211
13,710
13,130
14,210
13,144
14,823
12,540
16,345
14,305
17,796
13,539
13,343
13,620
14,792
13,697
15,701
13,517
16,823
14,973
18,447
14,053
13,775
14
1
74
13
1
43
17
1
22
66
12
104
110
Peach
Pickens
Pierce
Pike
Polk
Pulaski
Putnam
Quitman
Rabun
Randolph
330
222
19
6
142
437
15
1
205
25
17
4
9
1
343
230
11
8
11
5
446
11
3
210
28
16
5
11
0
360
248
17
9
162
472
140
229
29
164
105
50
.
82
.
92
.
71
.
58
.
73
.
89
.
59
.
52
.
48
,
15,529
15,307
12,579
13,740
12,899
14,160
14,335
11,529
12,596
11,396
16,009
15,505
13,397
14,332
13,084
16,266
14,305
12,385
13,203
12,409
16,367
16,526
14,453
15,380
13,767
17,367
15,243
12,966
13,733
13,128
30
26
89
5
1
11
1
1
5
55
14
3
12
1
10
3
Richmond
Rockdale
3,172
966
46
15
7
110
71
6
322
62
41
1
69
3,327
1,018
47
19
8
10
2
803
338
65
446
72
3,507
1,100
50
200
127
81
6
31
6
69
470
75
54
.
81
.
73
.
59
.
62
.
72
.
66
.
55
.
54
.
37
.
16,655
17,677
12,767
12,679
12,232
13,909
13,828
10,884
13,584
10,529
17,057
17,851
13,094
13,763
13,207
14,459
14,344
11,811
14,610
10,981
17,322
18,648
14,073
14,520
14,046
15,327
15,123
12,589
15,283
11,277
1
6
10
13
0
87
16
0
52
6
1
13
4
54
17
5
Terrell
Thomas
Tift
Toombs
Towns
Treutlen
24
219
99
135
122
572
495
326
86
65
24
236
104
13
4
134
607
528
346
89
7
1
26
248
10
1
152
143
639
555
366
94
74
62
.
50
.
62
.
64
.
63
.
52
.
51
.
56
.
63
.
43
.
12,450
12,373
12,875
12,309
11,434
14,660
14,132
13,522
12,627
10,864
13,277
13,259
13,605
13,029
12,699
15,509
14,933
14,305
12,880
11,884
14,464
13,812
14,400
13,246
13,588
16,141
15,603
14,941
13,440
12,527
88
19
0
9
1
125
15
1
36
44
67
10
2
17
4
Troup
Turner
Twiggs
Union
Upson
Walker
Walton
Ware
Warren
Washington
846
16
0
102
15
4
335
772
563
455
69
277
868
122
19
0
10
6
350
809
61
0
485
72
293
918
10
3
15
1
13
7
376
865
649
513
11
316
59
.
64
.
57
.
79
.
75
.
69
.
80
.
58
.
80
.
81
.
15,220
12,221
10,331
12,050
12,735
13,223
14,507
12,844
11,333
14,480
15,375
13,995
11,148
12,924
13,344
13,739
15,047
13,672
11,777
15,250
16,243
15,193
11,825
13,430
14,348
14,577
15,923
14,354
12,830
16,392
33
57
14
5
11
2
94
85
39
93
17
3
28
295
28
57
206
1,215
84
154
19
3
239
31
2
32
60
222
1,259
96
11
6
11
4
263
339
33
64
240
1,374
11
0
19
6
18
4
274
55
.
31
.
61
.
84
.
92
.
55
.
45
.
51
.
43
.
13,141
12,410
11,544
15,741
16,723
12,021
14,517
13,600
12,097
13,808
14,171
12,334
16,532
17,177
13,730
15,279
13,759
13,168
14,230
14,825
13,306
17,293
18,531
14,580
15,912
14,415
13,465
95
73
13
2
1
7
1
1
84
40
90
19
1
23,266
18 448
4,818
24,488
19,336
5,152
25,657
20,597
5,060
1,948
18,448
929
1,941
2,087
19,336
1,008
2,056
2,196
20,597
636
2,228
52
.
65
.
-37.0
84
.
15,482
5,128
10,355
16,368
5,504
10,865
17,746
6,067
11,679
8 4 15,304 15,773 16,649
.
10.2 17,204 17,801 18,982
7 5 14,511 14,912 15,649
.
Ada
Adams
Bannock
Bear Lake
Benewah
Bingham
Blaine
Boise
Bonner
Bonneville
3,961
48
884
67
112
514
314
50
369
1,191
4,259
50
939
70
18
1
534
338
54
41
0
1,273
4,713
53
1,018
77
18
2
566
359
59
41
4
1,369
10.7
59
.
84
.
10.2
91
.
59
.
62
.
90
.
10.1
76
.
19,093
14,840
13,347
11,054
14,040
13,667
22,774
13,999
13,792
16,403
19,739
15,048
14,029
11,530
14,670
13,900
23,588
14,483
14,345
16,943
21,105
15,071
14,854
12,374
15,849
14,278
24,111
14,639
15,238
17,686
Boundary
Butte
Camas
Canyon
Caribou
Cassia
Clark
Clearwater ,
97
37
12
1,167
96
332
24
19
1
102
36
1
1
1,245
99
332
22
10
3
114
38
12
1,353
107
352
22
17
3
11.3
48
.
96
.
87
.
79
.
62
.
.
5
50
.
11,555
12,868
15,808
12,879
13,767
16,930
31,411
14,065
12,214
12,589
14,664
13,326
14,010
16,780
28,720
15,235
13,190
12,846
16,114
14,057
15,029
17,471
27,566
15,774
Scnley
Screven
Senmole
Spalding
Stephens
Stewart
Sumter
Talbot
Taliaferro
Tattnal!
Taylor
TeiW
Wayne .
Webster
Wheeler
White
Whitfield
Wilcox
Wilkes
Wilkinson
Worth
Hawaii
Metropolitan portion
Nonmetropolitan portion
Hawaii
Honolulu
Kauai
Maui + Kalawao
Idaho
Metropolitan portion
Nonmetropolitan portion
See footnotes at end of table.
4 8 20,905 21,576 22,200
.
65 22,009 22,744 23,864
.
-1.8 17,538 18,090 17,294
16,032
22,009
17,996
19,107
16,520
22,744
18,928
19,551
16,846
23,864
11,721
20,633
1990
1991
1992
1990
1991
1992
54
339
55
358
1.0
5.6
14,527
15,242
12,938
16,382
13,548
17,390
34
9
143
164
181
188
204
230
1,097
433
90
103
141
174
188
193
212
235
1,197
452
93
110
154
189
201
208
226
253
1,325
488
99
6.6
9.2
8.7
7.2
7.4
7.0
8.0
10.8
7.9
6.6
10,637
13,038
13,750
15,571
13,580
12,297
15,121
15,586
14,134
12,989
10,906
12,608
14,178
15,826
13,896
12,471
15,149
16,203
14,527
13,216
11,563
13,698
15,021
16,712
14,625
12,939
16,153
17,110
15,347
13,993
43
33
22
12
27
36
13
11
18
31
Lewis
Lincoln
,
Madison
Minidoka
Nez Perce
Oneida
Owyhee
Payette
Power
Shoshone
62
51
230
239
554
40
105
209
133
198
61
46
235
251
578
42
107
220
120
195
62
51
245
258
631
43
109
239
133
200
10.4
4.4
3.0
9.1
3.4
1.5
8.8
10.6
3.1
17,565
15,193
9,692
12,354
16,372
11,505
12,428
12,702
18.784
14,165
17,007
13,797
9,965
12,702
16,836
12,067
12,604
12,996
16,513
13,802
17,122
14,961
10,228
12,807
18,061
12,460
12,712
13,700
17,624
14,694
Teton
Twin Falls
Valley
Washington ,.,
40
804
106
106
43
851
115
113
47
896
124
122
8.6
5.3
8.4
7.8
11,667
14,951
17,268
12,320
11,978
15,498
17,446
13.127
12,050
16,006
17,913
14,021
10
23
44
38
4
40
39
32
7
25
42
15
5
30
230,790
202,665
28,125
237,427
208,866
28,561
252,858
221,965
30,893
6.5
6.3
8.2
20,159 20,602
21,129 21,599
15,150 15,402
21,774
22,749
16,646
1,075
120
214
555
72
583
78
267
213
2,835
1,114
124
216
550
74
601
77
267
214
2,889
1,187
136
232
583
82
656
83
292
233
16,265 16,801
11,342 11,749
14,226 14,357
17,922 17,339
12,365 12,578
16,333 16,888
14,574 14,581
15,893 16,078
15,813 15,925
16,382 16,632
17,895
12,838
15,417
17,785
13,876
18,427
15,989
17,542
17,506
17,459
32
100
82
36
96
24
72
38
3,059
6.6
9.1
7.6
5.9
11.0
9.0
7.5
9.1
9.0
5.9
586
227
213
566
776
108,616
308
150
1,267
263
572
232
217
571
797
111,876
323
152
1,293
269
616
254
239
619
861
118,479
347
166
1,384
296
7.6
9.4
10.2
8.4
7.9
5.9
7.6
9.5
7.0
10.3
17,004
14,252
14,735
16,670
15,042
21,273
15,891
14,027
16,183
15,874
16,680
14,670
14,975
16,774
15,460
21,863
16,653
14,123
16,328
16,201
17,986
16,039
16,664
18,068
16,615
23,053
17,810
15,386
17,314
17,836
31
71
59
29
61
3
35
83
45
34
302
21,726
292
109
529
258
256
555
560
104
307
22,549
267
108
527
259
258
555
567
324
24,146
313
114
562
289
284
602
606
112
5.4
7.1
9.2
5.6
6.6
11.5
10.0
8.5
6.9
13.6
15,528
27,656
14,958
14,684
16,643
12,331
18,047
13,780
14,709
15,052
15,791
28,133
14,777
14,680
16,517
12,514
18,451
13,843
14,934
14,489
16,661
29,587
16,225
15,586
17,514
13,93!
20,420
15,091
15,917
16,444
60
1
68
79
39
95
10
86
74
63
201
698
130
339
73
131
857
566
844
179
7.2
11.1
11.9
10.3
5.5
11.4
6.8
10.4
6.1
12.3
12,331
19,195
13,617
14,242
11,969
13,961
15,913
16,336
12,670
14,837
12,358
18,871
13,790
14,389
13,556
14,431
15,730
16,624
13,109
15,073
13,273
20,629
15,528
15,818
14,102
15,756
16,761
18,184
13,848
16,970
81
75
94
76
57
26
97
52
600
321
403
130
7,318
1,728
6.1
6.8
8.9
6.6
7.0
7.2
6.9
8.0
6.4
8.3
14,594
14,434
16,753
10,457
20,561
16,257
19,394
15,450
27,477
15,909
15,295
14,481
16,847
10,627
,20,962
16,525
19,577
15,778
28,139
16,541
16,212
15,291
18,417
11,147
21,936
17,471
20,515
17,071
29,386
17,842
84
25
102
6
42
9
51
2
33
8.7
7.5
8.6
8.0
9.0
7.7
9.2
16,130 17,048
15,868 14,989
17,332 17,271
15,638 15,776
12,280 12,919
21,594 21,301
18,211 18,607
18,713
16,061
18,608
16,965
14,117
22,099
20,049
22
70
23
53
93
5
12
Franklin
Freemont (incl. Ylwstn. Natl. Pk.)
Gem
,
Gooding
Idaho
,
Jefferson
Jerome
,.
Kootenai
,...
Latah
Lemhi
Illinois
Metropolitan portion
Nonmetropolitan portion
Adams
Alexander
Bond
Boone
Brown
Bureau
Calhoun
Carroll
Cass
Champaign
Christian
Clark
Clay
Clinton
Coles
Cook
Crawford
Cumberland
De Kalb
De Witt
Douglas
Du Page
Edgar
Edwards
Effingham
Fayette
Ford
Franklin
Fulton
Gallatin
,
,
,
189
624
115
304
62
113
813
503
773
157
116
307
69
117
802
513
795
159
3
20
24
4
1
1
6
28
2
26
1
9
6
Jefferson
Jersey
Jo Daviess
Johnson
Kane
Kankakee
Kendall
Knox
Lake
La Salle
541
297
365
119
6,574
1,570
767
871
14,281
1,704
566
301
370
122
6,843
1,612
792
888
14,936
1,778
35
37
14
29
2
1
8
1
17
Lawrence
Lee
Livingston
257
547
682
481
433
4,001
2,360
271
518
679
482
451
4,106
2,450
Logan
McDonough
McHenry
McLean
846
959
15,899
1,925
29!
557
738
520
492
4,421
2,675
1991-92
Rank in
State
Dollars
60
324
Custer
Elmore
Greene
Grundy
Hamilton
Hancock
Hardin
Henderson
Henry
Iroquois
Jackson
Jasper
3
1
4
2
Percent
change 2
Millions of dollars
Area name
1992
1991
242
243
90
19
8
325
2,733
590
312
10
3
576
Mitchell
Monroe
Montgomery
Morgan
Murray
Muscogee
Newton
Oconee
Oglethorpe
Paulding
Per capita personal income 3
Total personal income
Rank in
State
1992
April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1991
1992
1991-92
Dollars
1991
1992
18,004
15,924
17,747
18,254
15,864
17,985
19,134
17,119
18,931
18
50
19
9.8
8.2
9.0
8.1
9.9
7.1
5.7
10.6
6.5
10.5
14,932
16,498
14,582
13,201
17,238
15,239
17,718
14,610
15,801
14,811
15,281
16,754
14,678
13,618
17,248
15,286
17,436
14,908
16,009
14,915
16,785
18,095
15,936
14,604
18,749
16,362
18,040
16,522
17,123
16,347
56
28
73
9
1
2
1
64
30
62
49
66
817
3,606
321
315
255
55
101
127
526
271
7.3
4.3
5.2
9.6
8.2
7.9
11.1
6.9
4.2
10.3
16,274
18,436
14,588
18,484
13,003
11,330
12,002
19,754
14,580
14,398
16,230
18,801
14,276
18,348
13,495
11,560
12,308
20,662
14,607
14,814
17,201
19,647
15,044
19,983
14,675
12,676
13,739
22,129
15,282
16,351
47
15
87
1
3
89
11
0
98
4
85
65
3,020
4,517
441
3,803
110
82
350
111
929
2,365
5.1
6.7
5.7
6.5
9.4
11.1
10.4
12.5
7.6
5.5
18,827
15,653
15,102
19,245
16,133
15,851
19,841
13,288 13,308
13,354 13,170
14,412 14,244
15,899 15,415
17,891 17,930
18,116 17,979
20,151
17,166
16,715
20,968
14,651
14,538
15,732
17,499
19,211
18,820
1
1
48
58
7
90
92
77
4
1
17
20
7.8
7.5
7.6
11.8
9.1
10.7
9.5
7.9
7.7
7.5
13,337
15,153
15,812
14,278
16,244
13,266
15,240
16,214
18,587
14,717
14,001
15,583
15,571
14,008
16,058
14,041
15,513
16,138
18,823
15,364
14,966
16,802
16,879
15,691
17,592
15,580
17,257
17,377
19,824
16,339
55
54
78
37
80
46
44
14
67
5,074
602
6.0
7.0
18,512
17,018
18,625
16,907
19,555
18,100
16
27
96,720
72,650
24,071
103,922
77,819
26,103
7.4
7.1
8.4
16,815
17,606
14,833
17,251 18,366
18,107 19,203
15,098 16,254
467
5,725
1,141
152
200
774
201
304
587
1,367
471
5,865
1,179
138
201
812
21
305
597
1,440
491
6,279
1,309
162
215
880
229
329
651
1,560
4.3
7.1
11.1
17.3
6.6
8.4
8.0
7.9
9.1
8.4
14,969
18,997
17,865
16,097
14,234
20,788
14,218
16,160
15,295
15,581
15,029
19,337
18,183
14,668
14,453
21,560
14,706
15,991
15,541
16,225
15,640
20,583
19,984
16,836
15,352
22,925
15,583
17,01-r
16,901
17,403
Clay
Clinton
Crawford
Daviess
Dearborn
Decatur
De Kalb
Delaware
Dubois
Elkhart
336
473
108
378
600
352
549
1,883
668
2,651
351
482
114
390
629
368
567
1,974
688
2,714
527
124
422
674
406
620
2,112
735
2,955
9.2
8.6
8.2
7.1
10.4
9.3
7.0
6.9
8.9
13,580 14,181
15,228 15,369
10,909 11,483
13,698 14,084
15,374 15,716
14,890 15,384
15,486 15,789
15,741 16,485
18,208 18,469
16,949 17,237
15,377
16,640
12,309
15,175
16,333
16,743
16,941
17,543
19,637
18,547
Fayette
Floyd
Fountain
Franklin
Fulton
Gibson
Grant
Greene
Hamilton
Hancock
389
1,098
251
268
275
500
1,147
418
2,839
825
391
1,156
240
274
277
503
1,186
441
3,007
865
431
1.252
278
295
303
545
1,241
479
3,273
925
10.1
8.3
15.5
8.0
9.4
8.5
4.6
8.5
8.9
7.0
14,968 15,056
16,932 17,443
14,102 13,475
13,137 13,357
14,545 14,639
15,673 15,808
15,463 15,987
13,688 14,220
25,748 25,930
18,053 18,614
16,482
18,628
15,511
14,386
15,850
17,173
16,730
15,238
26,985
19,478
Harrison
Hendricks
Henry
Howard
Huntington
Jackson
Jasper
jay
Jefferson
Jennings
427
1,373
737
1,437
572
544
364
282
399
313
444
1,444
759
1,486
577
560
360
286
416
325
483
1,548
817
1,589
629
618
393
304
454
362
7.2
7.7
6.9
9.1
10.3
9.1
6.0
9.1
11.6
14,269
18,056
15,297
17,757
16,121
14,369
14,529
13,102
13,352
13,216
15,718
19,541
16,817
19,268
17,628
16,003
15,111
13,933
14,936
14,766
2,110
759
4,433
2,252
818
4,795
621
212
238
195
192
263
400
448
575
207
635
214
241
201
194
265
401
456
583
207
232
263
217
213
284
424
504
621
229
Ogle
Peoria
Perry
Piatt
Pike
Pope
Pulaski
Putnam
Randolph
Richland
750
3,375
313
288
228
49
90
113
503
238
761
3,457
305
287
235
50
91
119
505
245
Rock Island
St. Clair
Saline
Sangamon
Schuyler
Scott
Shelby
Stark
Stephenson
2,798
4,113
400
3,465
100
75
321
104
861
2,245
2,872
4,234
417
3,570
100
73
317
99
864
2,243
235
1,336
207
274
243
228
251
975
6,679
849
247
1,369
204
268
238
239
253
976
6,913
4,694
559
4,786
563
93,415
69,910
23,506
Adams
Allen
Bartholomew
Benton
Blackford
Boone
Brown
Carroll
Cass
Clark
Marion
Marshall
Mason
Massac
Menard
Mercer
Monroe
Montgomery
Morgan
Mouitrie
Tazewell
Union
Vermilion
Wabash
Warren
Washington
Wayne
White
Whiteside
Will
Williamson
Winnebago
Woodford
,
Indiana
Metropolitan portion
Nonmetropolitan portion
See footnotes at end of table.
1,472
220
300
260
264
277
1,052
7,444
955
14,565
18,607
15,729
18,155
16,168
14,621
14,123
13,252
13,858
13,465
Area name
1992
1990
4.9
7.7
5.9
2,147
759
4,528
Macon
Macoupin
Madison
Per capita personal income 3
Total personal income
Rank in
State
Percent
change 2
Millions of dollars
1990
1991
1992
1991-92
Rank in
State
Dollars
1990
1991
1992
1,834
661
1,228
404
8,633
1,853
702
2,177
17,521
721
7.9
10.7
7.5
8.6
5.1
6.7
7.3
5.3
7.1
8.3
18,257
14,431
17,085
12,340
16,707
15,683
14,413
15,652
19,554
15,360
18,564
15,020
17,464
12,508
17,138
16,059
15,182
15,732
20,269
15,538
19,648
16,623
18,625
13,341
17,918
17,018
16,177
16,551
21,555
16,708
45
92
72
51
41
33
25
6
1
10
38
12
24
56
74
86
77
78
Martin
Miami
Monroe
Montgomery
Morgan
Newton
Noble
Ohio
Orange
Owen
140
510
1,589
557
875
197
555
68
229
217
148
518
1,678
575
922
188
563
71
237
232
158
540
1,804
639
986
215
618
76
259
253
6.7
4.4
7.5
11.0
7.0
14.3
9.8
7.3
9.6
9.1
13,483
13,829
14,541
16,153
15,569
14,502
14,597
12,729
12,409
12,511
14,225
13,948
15,265
16,579
16,094
13,696
14,705
13,331
12,748
13,118
15,022
14,612
16,239
18,206
16,813
15,510
15,982
14,350
14,006
13,864
Parke
Perry
Pike
Porter
Posey
Pulaski
Putnam
Randolph
Ripley
Rush
212
240
190
2,411
416
196
413
394
378
259
220
248
193
2,505
431
183
434
396
399
265
243
264
205
2,645
478
204
474
410
433
291
10.5
6.4
6.0
5.6
10.9
11.4
9.1
3.4
8.6
10.0
13,789
12,556
15,196
18,632
16,022
15,517
13,558
14,525
15,283
14,260
14,190
13,015
15,596
18,916
16,607
14,381
13,955
14,586
15,894
14,558
15,533
13,956
16,442
19,593
18,316
15,843
14,953
15,141
17,046
15,943
St. Joseph
Scott
Shelby
Spencer
Starke
Steuben
Sullivan
Switzerland
Tippecanoe
Tipton
4,166
265
661
276
262
435
269
89
2,021
273
4,303
283
684
278
259
453
278
97
2,126
280
4,606
313
748
303
266
488
307
105
2,278
298
7.1
10.7
9.3
8.9
11.3
7.9
10.1
7.7
7.2
6.4
16,830
12,610
16,355
14,121
11,461
15,810
14,168
11,445
15,476
16,920
17,297 18,387
13,253 14,528
16,750 18,148
14,199 15,391
11,321 12,790
16,181 17,130
14,692 16,173
12,468 13,140
16,124 17,104
17,368 18,492
Union
Vanderburgh
Vermillion
Vigo
Wabash
Warren
Warrick
Washington
Wayne
Wells
91
3,031
241
1,585
533
117
787
303
1,099
432
92
3,122
256
1,676
541
101
807
308
1,129
436
101
3,356
273
1,804
568
128
855
336
1,204
469
10.6
7.5
6.7
7.6
5.1
26.0
6.0
8.9
6.6
7.4
13,018
18,346
14,371
14,944
15,175
14,273
17,476
12,770
15,264
16,646
13,038 14,229
18,854 20,176
15,433 16,487
15,732 16,836
15,482 16,298
12,421 15,658
17,602 18,346
12,831 13,751
15,673 16,689
16,786 17,985
363
440
358
449
399
481
11.4
7.0
15,587
15,869
15,323
16,021
46,375
21,609
24,766
47,695
22,552
25,143
51,225
24,148
27,077
7.4
7.1
7.7
127
70
199
183
116
345
1,972
425
353
312
125
69
191
190
120
347
2,035
442
359
318
136
74
211
203
127
377
2,175
477
390
339
9.2
8.2
10.3
6.7
6.1
8.6
6.9
8.0
8.5
6.7
15,140 14,940
14,426 14,533
14,426 13,849
13,356 13,868
15,780 16,559
15,390 15,429
15,909 16,252
16,879 17,468
15,440 15,780
14,958 15,199
16,453
15,993
15,273
14,788
17,925
16,615
17,345
18,929
17,086
16,193
Buena Vista
Butler
Calhoun
Carroll
Cass
Cedar
Cerro Gordo
Cherokee
Chickasaw
Clarke
63
4
6
36
70
2
64
32
34
26
649
1,699
598
1,142
372
8,218
1,737
654
2,068
16,352
666
312
235
175
354
237
294
782
229
207
113
319
23:
176
368
242
295
800
233
209
111
342
257
201
398
260
317
838
241
225
120
7.3
8.3
14.4
8.1
7.8
7.3
4.7
3.4
7.6
7.5
15,623
14,920
15,244
16,521
15,682
16,910
16,734
16,205
15,599
13,696
15,966
15,029
15,336
17,234
16,109
16,957
17,041
16,626
15,833
13,482
17,122
16,377
17,647
18,611
17,426
18,041
17,898
17,313
17,056
14,386
Clay
Clayton
Clinton
Crawford
Dallas
Davis
Decatur
Delaware
Des Moines
Dickinson
291
285
807
252
528
113
101
289
710
273
287
27828
262
556
111
101
280
726
276
311
302
891
283
602
119
107
300
765
299
8.5
10.2
7.6
7.9
8.2
7.2
6.1
7.2
5.3
8.2
16,537
14,940
15,806
15,094
17,668
13,584
12,173
16,026
16,641
18,251
16,281
14,537
16,254
15,748
18,336
13,396
12,434
15,407
16,97"
18,171
17,536
16,128
17,409
17,032
19,491
14,401
13,225
16,376
17,846
19,610
1,427
1,47'
1,585
7.7
16,509
16,953
18,172
Johnson
Knox
Kosciusko
Lap/ange
Lake
La Porte
Lawrence
Madison
Marion
Marshall
White
Whitley
Iowa
Metropolitan portion
Nonmetropolitan portion
Adair
Adams
Allamakee
Appanoose
Audubon
Benton
Black Hawk
Boone
Bremer
Buchanan
Dubuque
1,618
574
1,117
365
7,962
1,682
619
2,048
15,625
16,745
16,895
16,683 17,096 18,275
17,962 18,564 19,658
15,707 15,963 17,197
1992
April 1994
SURVEY OF CURRENT BUSINESS
• 137
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1992
1991-92
1991
1992
173
316
272
180
121
152
206
175
270
171
316
27:
173
124
158
211
179
286
189
337
288
198
137
181
230
193
306
10.3
6.5
6.0
14.6
10.2
14.5
9.3
8.1
7.1
14,941
14,458
15,965
15,859
14,728
15,127
17,120
15,950
16,832
14,737
14,467
16,174
15,313
15,277
15,812
17,673
16,117
17,831
16,241
15,490
17,077
17,755
16,856
18,094
19,164
17,364
19,022
77
89
53
29
60
20
9
43
10
Hancock
Hardin
Harrison
Henry
Howard
Humboldt
Ida
Iowa
Jackson
Jasper
192
307
206
299
146
169
133
242
292
589
178
308
212
307
146
163
131
254
293
596
201
335
239
330
156
186
146
282
322
12.9
8.8
12.6
7.3
6.6
14.2
11.3
11.3
9.9
6.9
15,204 14,320
16,104 16,286
13,989 14,479
15,512 15,882
14,929 14,806
15,688 15,303
15,963 15,884
16,562 17,247
14,672 14,775
16,910 17,143
16,360
17,877
16,317
16,929
15,802
17,710
17,658
19,222
16,137
18,255
74
27
76
58
87
31
32
7
81
18
Jefferson
Johnson
Jones
Keokuk
Kossuth
Lee
Linn
Louisa
Lucas
Lyon
249
1,652
270
178
289
594
3,192
180
138
170
247
1,730
264
179
263
621
3,310
179
139
174
265
1,836
286
190
315
662
3,534
198
148
185
7.1
6.1
8.3
6.5
19.6
6.6
6.8
10.5
6.2
6.0
15,252 15,096
17,145 17,940
13,886 13,503
15,355 15,408
15,602 14,414
15,371 15,966
18,870 19,396
15,533 15,430
15,182 15,240
14,151 14,629
16,086
18,824
14,495
16,456
17,359
16,986
20,443
17,361
16,318
15,527
83
12
94
70
45
57
2
44
75
88
198
328
498
662
245
192
148
124
190
708
200
331
510
682
256
188
145
129
196
729
217
354
540
709
271
200
164
137
208
7.2
6.0
4.1
5.9
5.9
13.6
5.7
6.0
8.0
15,841 15,958
15,221 15,429
16,608 16,931
17,280 17,894
18,603 19,254
17,562 17,342
14,746 14,563
15,257 15,863
15,770 16,428
17,710 18,006
17,110
16,564
17,910
18,814
20,224
18,510
16,583
16,694
17,623
19,292
51
66
25
13
3
16
64
61
34
6
254
109
270
162
385
144
6.675
1,250
311
73
258
111
277
153
400
144
7,029
1,307
315
72
269
116
299
173
426
163
7,548
1,389
336
80
4.7
8.2
13.0
6.5
12.9
7.4
6.3
6.5
10.4
16,448 16,783
14,937 15,356
15,996 16,478
15,190 14,531
16,465 17,097
15,173 15,410
20,324 21,101
15,109 15,747
16,354 16,637
13,471 13,487
17,485
16,189
18,093
16,554
18,02!
17,617
22,31
16,584
17,720
15,004
21
67
23
35
1
63
30
91
Sac
Scott
Shelby
Sioux
Story
Tama
Taylor
Union
,
Van Buren
Wapello
187
2,723
206
436
1,146
271
88
185
98
538
187
2,817
212
462
1,206
269
90
186
99
558
207
2,978
224
492
1,278
286
98
200
109
593
10.9
5.7
5.5
6.6
5.9
6.3
7.9
7.4
10.3
6.3
15,212
17,988
15,599
14,566
15,430
15,573
12,372
14,501
12,734
15,056
15,407 17,174
18,364 19,184
16,017 16,988
15,292 16,219
16,208 17,191
15,501 16,482
12,862 14,006
14,745 16,060
12,782 14,125
15,628 16,580
56
78
48
68
98
85
97
65
Warren
Washington
Wayne
Webster
Winnebago
Winneshiek
Woodbury
Worth
Wright
574
329
96
617
203
321
1,615
125
222
599
335
95
655
193
320
1,699
117
218
648
350
104
701
218
346
1,853
126
240
15,878
16,771
13,626
16,353
4.6
8.6
7.0
13.2
8.2
9.1
8.0
10.1
43,763
25,786
17,977
45,553
27,203
18,350
48,764
29,126
19,638
7.0
7.1
7.0
198
103
237
94
472
214
165
845
47
57
200
105
243
87
486
227
168
900
44
62
219
126
268
94
501
245
180
975
50
64
9.6
19.9
10.0
7.4
3.2
7.9
7.2
8.4
12.5
1.9
13,543
13,298
14,023
16,014
16,118
14,347
14,805
16,661
15,637
13,097
13,694 14,986
13,543 16,078
14,540 16,059
15,263 16,682
16,651 17,138
15,321 16,612
15,168 16,395
17,358 18,232
15,202 17,203
14,529 14,832
102
82
83
71
60
72
78
40
58
104
279
59
57
149
178
129
49
552
290
59
52
142
166
136
46
564
321
58
52
157
176
151
47
599
10.6
-2.4
.2
13,090 13,559 14,874
18,415 18,309 18,142
23,702 22,131 22,223
16,343 15,710 17,075
16,248 15,378 16,702
15,309 16,196 17,601
21,279 20,692 21,886
14,957 15,442 16,338
103
41
12
63
69
47
14
79
O'Brien
Osceola
Page
,
Palo Alto
Plymouth
Pocahontas
Polk
Pottawattamie .,
Poweshiek
Ringgold
,
Kansas
Metropolitan portion
Nonmetropolitan portion
Alien
Anderson
Atchison
Barber
Barton
Bourbon
Brown
Butler
Chase
Chautauqua
,
Cherokee
Cheyenne
Clark
Clay
Cloud
Coffey
Comanche
Cowley
See footnotes at end of table.
10.6
6.5
10.7
2.6
6.1
1533
16,739
15,422
16,396
15,627
15,559
13,617
16,287
16,074
15,396
17,105
14,861
15,447
17,372
17,464
14,993
17,538
18,352
16,460
18,539
16,071
16,891
Area name
1992
1990
Emmet
Fayette
Floyd
Franklin
Fremont
Greene
Grundy
Guthrie
Hamilton
Madison
Mahaska
Marion
Marshall
Mills
Mitchell
Monona
Monroe
Montgomery
Muscatine
1991
Dollars
42
39
92
36
17
69
15
84
59
17,639 18,290 19,387
19,280 20,081 21,197
15,720 16,156 17,207
Per capita personal income3
Total personal income
Rank in
State
Percent
change 2
Millions of dollars
1991
1990
1992
Crawford
Decatur
520
76
549
75
588
76
Dickinson
Doniphan
Douglas
Edwards
Elk
Ellis
Ellsworth
Finney
Ford
Franklin
279
118
1,175
77
44
419
96
525
435
305
277
131
1,238
78
44
427
94
570
449
316
305
140
1,326
82
48
453
100
624
460
347
Geary
Gove
Graham
Grant
Gray
Greeley
Greenwood
Hamilton
Harper
Harvey
400
79
56
123
94
52
403
70
53
132
98
57
118
70
116
541
468
77
59
146
95
48
125
70
125
572
Haskell
Hodgeman
Jackson
Jefferson
Jewell
Johnson
Kearny
Kingman
Kiowa
Labette
84
39
178
251
88
37
177
256
63
9,696
94
126
66
350
91
37
196
282
71
10,339
96
139
66
363
117
59
124
506
7i
9,143
100
129
65
333
1991-92
Rank in
State
Dollars
1992
1992
1990
1991
14,641
18,891
15,554
19,230
16,599
19,915
73
22
14,711
14,602
14,302
20,415
13,359
16,157
14,638
15,839
15,849
13,847
14,720
16,160
14,853
21,370
13,916
16,452
14,213
17,030
16,191
14,252
15,903
17,406
15,682
22,711
15,281
17,437
15,499
18,302
16,509
15,567
85
53
91
10
97
51
96
37
75
16.2 13,148
9.4 23,805
12.6 15,824
10.7 16,646
-2.8 17,508
-16.2 29,276
6.1 14,859
-.3 24,557
8.0 17,501
5.7 16,301
13,677
21,335
15,093
17,788
18,205
32,719
15,036
29,968
16,583
17,440
14,224
23,479
17,430
19,138
17,647
28,210
15,986
29,969
18,502
18,430
105
7
52
25
46
2
84
1
32
34
21,740
18,053
15,462
15,737
17,823
25,584
25,040
15,587
17,980
14,102
22,363
16,780
15,395
16,031
15,444
26,509
23,601
15,171
18,654
14,890
22,958
17,346
17,113
17,393
17,546
27,560
24,086
16,904
18,318
15,554
55
61
54
49
3
6
65
36
95
-6.4 21,641
11.0 13,770
14.1 16,826
11.5 13,940
.1 16,410
5.9 14,398
7.8 16,471
11.4 14,082
13.8 17,193
.3 19,690
21,973
14,151
15,838
13,598
16,939
15,546
16,863
14,156
16,993
20,172
20,957
15,558
18,299
15,083
16,518
16,497
18,009
15,872
19,687
20,341
16
94
38
101
74
76
43
86
23
18
8.0
8.7
5.3
10.1
4.4
5.9
6.8
9.2
12.9
9.1
15,669 16,754
16,094 17,498
15,012 16,120
13,597 15,086
17,772 18,516
17,879 19,035
15,763 16,914
18,154 20,320
16,067 18,508
14,660 15,850
68
50
80
100
30
26
64
19
31
87
7.2
1.3
10.2
6.9
7.1
4.0
9.1
6.1
7.0
9.3
2.4
10.1
3.6
.9
10.6
10.0
11.8
6.6
2.8
10.4
-1.0
3.8
Lane
Leavenworth ....
Lincoln
Linn
Logan
Lyon
McPherson
Marion
Marshall
Meade
51
891
61
11
51
500
450
181
200
83
51
940
56
114
52
535
458
181
194
48
1,043
64
127
52
566
493
201
221
Miami
Mitchell
Montgomery
Morris
Morton
Nemaha
Neosho
Ness
Norton
Osage
366
126
571
87
58
179
254
79
96
221
372
115
580
85
61
186
269
72
94
226
402
125
610
94
63
197
287
79
106
246
Osborne
Ottawa
Pawnee
Phillips
Pottawatomie ...,
Pratt
Rawlins
Reno
Republic
Rice
82
86
142
109
237
169
58
1,000
101
171
75
78
145
105
243
178
52
1,038
103
170
87
155
115
265
185
55
1,092
113
176
11.4 16,351
12.1 15,362
6.9 18,856
9.2 16,631
9.4 14,653
3.9 17,552
6.5 17,061
5.2 16,027
10.3 15,653
3.6 16,166
15,363
14,024
19,220
16,332
14,819
18,571
15,414
16,661
16,208
16,424
17,651
15,826
20,377
17,982
15,781
19,264
16,694
17,565
18,442
17,091
45
89
17
44
90
24
70
48
33
62
Riley
Rooks
Rush
Russell
Saline
Scott
Sedgwick
Seward
Shawnee
Sheridan
872
87
61
141
939
116
7,680
303
2,995
53
910
84
56
133
965
127
8,142
352
3,110
60
1,020
94
60
144
1,023
139
8,772
342
3,281
65
12.1
12.6
8.6
8.0
6.0
9.1
7.7
-2.7
5.5
8.3
12,973
14,501
15,897
18,129
19,023
22,025
18,979
16,206
18,563
17,708
14,071
13,994
14,606
17,208
19,313
24,335
19,867
18,863
19,130
20,238
15,204
15,835
16,082
18,920
20,273
26,429
21,053
18,267
20,076
22,052
81
27
20
4
15
39
21
13
Sherman
Smith
Stafford
Stanton
Stevens
Sumner
Thomas
Trego
Wabaunsee
Wallace
124
77
92
60
108
416
143
60
105
30
124
77
94
65
114
416
149
56
104
31
126
85
95
56
115
450
140
60
111
30
1.4
9.7
1.9
-12.6
1.0
8.2
-6.3
8.6
6.6
-2.2
17,883
16,025
17,181
25,658
21,289
16,102
17,230
16,289
15,887
16,742
18,254 18,638
16,329 18,329
18,100 16,819
26,975 24,211
22,480 22,366
16,015 17,246
17,948 16,774
15,512 17,185
16,059 17,269
16,619 16,426
29
35
28
5
11
57
66
59
56
77
Washington
Wichita
Wilson
Woodson
Wyandotte
111
69
137
59
2,183
109
63
143
61
2,264
121
63
157
67
2,416
9.7
10.0
6.7
15,753
24,983
13,401
14,377
13,495
15,871 18,090
23,298 22,855
14,262 15,625
15,140 16,771
14,137 15,222
92
67
98
,
15,542
17,563
14,729
13,962
16,814
17,202
14,944
19,670
16,174
14,505
April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
Kentucky
Metropolitan portion
Nonmetropolitan portion
1992
1991
991-92
Dollars
1990
1991
57,520
32,275
25,244
62,043
34,698
27,345
7.9
7.5
8.3
174
156
216
119
456
109
327
993
282
854
188
165
227
118
489
115
351
1,064
294
207
181
245
133
531
124
378
1,167
313
960
10.2
9.1
7.8
12.6
8.6
7.8
7.6
9.7
6.4
8.6
11,321
10,614
14,726
15,048
13,371
11,238
10,412
17,079
14,669
16,704
12,121
11,272
15,022
14,926
14,279
11,868
11,278
17,523
15,219
17,206
13,248
12,142
15,687
16,946
15,444
12,620
12,248
18,498
16,169
18,730
71
92
32
17
37
82
89
10
26
8
Boyle
,
Bracken
Breathitt
Breckinridge
Bullitt
Butler
Caldwell
Calloway
Campbell
Carlisle,
360
96
162
184
609
114
162
427
1,310
77
377
101
168
195
642
121
171
461
1,370
78
408
105
189
213
697
132
182
505
1,455
87
8.4
3.8
11.9
9.2
8.5
9.2
6.1
9.4
6.2
12.2
14,041
12,289
10,333
11,298
12,715
10,162
12,254
13,867
15,592
14,735
14,618
12,782
11,210
11,945
13,013
10,690
13,143
14,948
16,236
14,884
15,733
13,043
12,453
12,932
13,631
11,586
13,989
16,125
17,106
16,685
31
77
84
79
63
98
57
27
15
21
Carroll
Carter
Casey
Christian
Clark
Clay
Clinton ,
Crittenden
Cumberland
Daviess
124
256
141
74!
432
198
86
106
66
1,318
134
277
156
799
459
218
95
110
7!
1,398
148
303
171
911
488
243
103
118
77
1,486
9.9
9.3
9.7
14.1
6.3
11.6
7.7
7.4
6.9
6.4
13,387
10,481
9,969
10,783
14,613
9,136
9,416
11,507
9,804
15,103
14,225
11,196
10,965
12,072
15,438
9,937
10,371
11,913
10,669
15,908
15,498
12,124
11,839
13,371
16,209
10,940
11,179
12,774
11,455
16,736
34
93
96
68
25
109
104
80
99
20
97
53
147
4,381
141
503
732
111
63
155
106
57
156
4,590
150
533
778
115
71
161
115
65
168
4,887
166
572
827
129
79
173
8.2
13.2
8.2
6.5
10.5
7.4
6.3
12.7
11.7
7.7
9,356
8,178
10,018
19,361
11,472
11,554
16,704
13,479
11,667
13,325
10,202
8,785
10,442
20,064
12,074
12,145
17,719
14,108
12,849
13,560
11,182
9,918
11,082
21,015
13,187
12,996
18,539
16,072
13,931
14,258
103
118
105
4
75
78
9
28
59
52
220
485
248
127
526
133
1,206
420
244
178
238
555
267
13;
57140
1,308
440
260
193
7.9
14.3
7.5
8.1
9.0
5.8
8.4
4.9
6.9
8.1
12,600
13,518
10,919
11,272
13,795
16,303
12,970
11,146
13,7210,948
13,503
14,423
11,534
12,256
14,330
16,861
13,993
11,476
14,852
11,716
14,076
16,371
12,284
13,237
15,454
17,773
15,482
12,104
15,736
12,455
56
23
88
72
36
12
35
95
Henderson
Henry
Hickman
Hopkins
Jackson
Jefferson
Jessamine
Johnson
Kenton
Knott
20"
455
230
11;
50;
128
1,160
401
223
163
666
174
72
733
103
12,771
43^
270
2,393
178
683
189
72
747
11
13,415
458
287
2,537
186
746
202
83
778
124
14,416
492
31
2,726
202
9.1
6.9
15.7
4.0
8.8
7.5
7.5
8.6
7.5
8.6
15,446
13,541
12,945
15,90'
8,550
19,196
14,234
11,600
16,828
9,902
15,796
14,325
12,954
16,158
9,425
20,099
14,555
12,267
17,726
10,273
17,021
14,988
15,134
16,798
10,110
21,490
15,219
13,188
18,992
11,059
16
45
43
19
116
2
40
74
7
107
Knox
Larue
Layrel
Lawrence
Lee
Leslie
Letcher
Lewis
Lincoln
Livingston
278
170
526
146
68
133
303
12C
21
13C
302
178
566
155
74
142
319
130
229
134
330
193
615
167
8(
16'
327
142
254
144
9.1
8.6
8.6
7.8
8.4
13.1
2.6
8.9
10.9
7.3
9,366
14,458
12,07
10,446
9,162
9,754
11,213
9,202
10,453
14,338
10,045
15,136
12,779
10,872
9,429
10,442
11,786
10,000
11,280
14,712
10,854
16,229
13,589
11,347
10,135
11,737
12,106
10,843
12,407
15,674
110
24
65
101
115
97
94
111
87
33
29S
74
1,070
122
123
741
11
202
396
153
315
79
1,13$
14C
121
792
128
21
422
163
35£
87
1,221
153
134
855
138
234
464
171
13.6
9.0
12
10.0
11.3
8.0
8.2
8.8
9.8
5.3
12,238
11,103
16,979
7.82C
12,758
12,843
8,71
12,27"
14,52]
12,21
12,798
11,66"
18,019
8,842
12,569
13,508
9,658
12,923
15,318
12,79"
14,337
12,145
19,169
9,655
13,913
14,338
10,326
14,089
16,650
13,349
50
91
5
119
60
49
114
55
22
69
234
288
46
269
96
24
302
49
284
104
263
326
53
31
11
9.2
7.9
9.2
9.1
7.5
14,021
11,862
8,933
14,037
10,772
14,336
12,66
9,571
14,757
11,556
15,318
13,465
10,352
15,893
12,42
38
67
113
29
85
Edmonson
Elliott
Estill
Fayette
Fleming
Floyd
Franklin
Fulton
Gallatin
Garrard
,
,
,
,
Grant
Graves
Grayson
Green
Greenup
Hancock
Hardin
Harlan
Harrison
Hart
Logan
Lyon
McCracken .,
McCreary
McLean
Madison
Magoffin
Marion
Marshall
Martin
,
Mason
Meade
Menifee
Mercer
Metcalfe
See footnotes at end of table.
14,751 15,483 16,528
17,187 17,957 19,068
12,474 13,165 14,138
30
83
Percent
change 2
Millions of dollars
Area name
1992 1992
1990
1991
138
250
108
393
417
148
259
120
407
440
157
278
130
426
474
6.4
7.2
8.7
4.7
7.6
12,056
12,766
9,239
12,580
14,019
12,984
13,255
9,671
13,029
14,469
13,735
14,111
9,943
13,719
15,181
Nicholas
Ohio
Oldham
Owen
Owsley
Pendleton
Perrv
pike
Powell
Pulaski
83
243
756
105
40
145
369
923
113
619
92
251
799
115
44
157
385
981
119
666
99
268
835
124
49
168
420
1,035
132
720
7.4
7.0
4.5
8.1
10.6
7.3
9.0
5.4
10.9
8.1
12,375
11,539
22,516
11,583
7,870
11,977
12,165
12,741
9,677
12,473
13,661
11,840
22,713
12,385
8,665
12,608
12,499
13,426
10,183
13,212
14,530
12,678
22,891
13,296
9,466
13,222
13,515
14,105
11,060
13,978
Robertson
Rockcastle
Rowan
Russell
Scott
Shelby
Simpson
Spencer
Taylor
Todd
23
148
201
173
385
423
200
91
270
131
25
161
221
182
418
450
211
99
286
135
26
171
235
200
460
491
233
108
318
162
6.9
5.9
6.1
10.1
10.1
9.1
10.4
8.7
11.0
19.5
10,829
9,947
9,814
11,726
16,094
16,951
13,228
13,229
12,727
11,962
11,490
10,751
10,704
12,149
17,041
17,709
13,721
14,282
13,397
12,382
12,203
11,359
11,208
13,143
18,177
18,996
15,021
15,309
14,579
14,645
Trigg
Trimble
Union
Warren
Washington
Wayne
Webster
Whitley
Wolfe
Woodford
134
74
249
1,165
137
158
212
368
57
411
141
80
257
1,239
147
174
21
393
66
424
155
85
275
1,357
159
192
234
423
76
442
6.9
7.3
9.5
8.2
10.3
9.6
7.5
15.3
4.3
12,899
12,033
15,065
15,156
13,074
9,023
15,201
11,025
8,854
20,538
13,492
12,906
15,700
15,943
14,015
9,834
15,475
11,750
9,721
20,757
14,271
13,608
16,877
17,196
15,137
10,671
17,152
12,421
10,946
21.219
60,228
48,264
11,964
64,083
51,215
12,868
68,167
54,419
13,748
6.4
6.3
6.8
Acadia
Allen
Ascension
Assumption
Avoyelles
Beauregard
Bienviile
Bossier
Caddo
Calcasieu
628
196
848
260
384
390
179
1,183
3,903
2,409
669
216
923
275
402
414
195
1,266
4,134
2,626
710
232
1,016
287
442
440
209
1,353
4,433
2,768
6.1
7.3
10.0
4.5
10.1
6.2
7.6
6.8
7.2
5.4
11,265
9,238
14,509
11,438
9,81
12,962
11,211
13,781
15,769
14,322
11,911
9,884
15,523
12,133
10,309
13,461
12,265
14,718
16,824
15,438
12,602
10,236
16,664
12,708
11,311
14,146
13,294
15,644
17,996
16,137
Caldwell
Cameron
Catahoula
Claiborne
Concordia
De Soto
East Baton Rouge
East Carroll
East Feliciana
Evangeline
110
111
11
188
230
292
6,440
88
225
342
112
113
122
199
243
306
6,825
11
238
373
124
118
141
212
261
339
7,362
109
255
403
10.5
4.6
15.5
6.7
7.4
10.9
7.9
-6.6
7.1
8.0
11,191
12,056
10,344
10,831
11,048
11,547
16,913
9,106
11,743
10,272
11,542
12,195
11,015
11,506
11,723
12,222
17,698
12,375
12,156
11,143
12,697
12,922
12,727
12,291
12,478
13,528
18,798
11,432
12,864
11,939
Franklin
Grant
Iberia
Iberville
Jackson
Jefferson
Jefferson Davis
Lafayette
Lafourche
La Salle
222
187
893
38:
186
7,626
332
2,675
1,053
16
252
193
963
410
200
7,986
358
2,846
1,121
168
269
206
1,015
449
211
8,395
373
2,996
1,166
183
6.7
6.4
5.3
9.5
5.5
5.1
4.3
5.3
4.1
8.3
9,912
10,695
13,075
12,472
11,862
17,011
10,826
16,193
12,275
11,787
11,376
11,021
13,963
13,207
12,916
17,617
11,579
16,881
12,983
12,303
12,125
11,690
14,5714,435
13,606
18,340
12,035
17,489
13,447
13,309
Lincoln
Livingston
Madison
Morehouse
Natchitoches
Orleans
Ouachita
Plaquemines
Points Coupee
Rapides
518
87114
369
398
8,188
1,94364
274
1,838
580
946
139
415
422
8,70
2,055
385
279
1,900
625
1,042
151
444
459
9,284
2,200
395
318
1,983
7.8
10.2
8.6
7.0
8.7
6.7
7.0
2.6
14.1
4.4
12.401
12,343
9,212
11,568
10,910
16,54
13,655
14,257
12,195
13,969
13,845
13,0911,419
13,0911,497
17,726
14,368
15,037
12,370
14,420
14,710
14,094
12,42^
13,929
12,513
18,962
15,181
15,25
14,036
15,186
106
233
253
881
682
88
276
548
94"
10:
273
274
939
733
94
281
568
999
122
274
293
994
777
106
294
599
1,082
13.8
.5
6.9
5.9
6.0
12.9
4.4
5.3
8.3
11,352
11,320
11,245
13,209
16,046
8,936
13,250
13,677
11,81"
11,699
13,386
12,184
14,070
16,853
9,482
13,556
13,994
12,400
13,200
13,472
12,756
14,833
17,509
10.71T
14,152
14,54
13,346
1991
1990
:.::..
Louisiana
Metropolitan portion
Nonmetropolitan portion
Red River
Richland
Sabine
St. Bernard
St. Charles
St. Helena
St. James
St. John the Baptist ...
St. Landry
1992
991-92
Rank in
State
Dollars
Monroe
Montgomery
Morgan
Muhlenberg
Nelson
1992 1992
54,454
30,654
23,800
Adair
Allen
Anderson
Ballard
Barren
Bath
Bell
,
Boone
,
Bourbon
Boyd
Per capita personal income 3
Total personal income
Rank in
State
14,279 15,100 15,931
15,279 16,098 16,953
11,295 12,112 12,862
April 1994
SURVEY OF CURRENT BUSINESS
• 139
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Fotal personal income
Percent
change 2
Millions of dollars
1990
454
St. Martin
1991-92
495
2.3
735
706
2,472
2,662
1,053
2,825
1,160
92
85
1,223
1,300
1,331
2.4
254
592
659
476
534
263
602
738
499
572
293
633
782
549
599
11.3
276
113
107
185
291
129
115
190
322
135
129
206
10.7
20,981
9,149
11S832
21,378
9,293
12,084
22,456
9,753
12,703
1,729
1,194
5,115
....
1,757
1,223
5,166
1,836
1,277
5,420
968
83
West Baton Rouge
West Carroll
West Feliciana
Winn
Maine
Metropolitan portion
Nonmetropolitan portion
Androscoggin
Aroostook
Cumberland ,
Franklin
,
Hancock
Kennebec
Knox
Lincoln
Oxford
Penobscot
1990
1991
10,309
10,956 11,111
1992
8.6
14,228
9,335
8,261
11,380
14,849
10,675
8,894
11,898
16,267
11,228
9,863
12,734
9
60
64
41
5.0
5.0
5.1
17,041
18,445
16,093
17,294
18,716
16,340
18,163
19,719
17,126
4.5
4.4
4.9
5.5
4.9
4.8
4.8
5.6
4.9
5.4
16,412 16,784
13,724 14,005
20,993 21,116
14,291 14,460
17,714 18,208
17,560 17,832
17,459 17,829
18,866 18,920
14,267 14,535
15,678 16,100
17,677
14,661
22,178
15.167
18,968
18,680
18,621
19,913
15,228
17,063
8
13
1
11
3
5
7
2
10
9
13,125
17,877
13,741
13,753
13,051
17,743
13,489 14,138
18,012 18,848
14,157 15,090
13,795 14,507
13,682 14,244
17,811 18,658
16
4
12
14
15
6
4.1
12.5
416
835
Allegany
Anne Arundei
Baltimore
Calvert
Caroline
Carroil
Cecil
Charles
Dorchester
Frederick
,
2,370
2,498
252
615
715
465
488
265
640
766
495
511
2,953
3,109
5.1
4.0
7.1
6.4
4.8
5,3
105,985
100,104
5,881
Maryland
Metropolitan portion
Nonmetropolitan portion
685
609
801
246
603
687
456
462
,
653
577
764
2,929
,.,
446
910
2,188
2,305
,
423
867
2,088
635
574
752
,
109,400
103,275
6,125
114,414
108,011
6,403
4.6
4.6
4.6
22,088 22,494 23,268
22,473 22,880 23,669
17,102 17,516 18,095
1,122
9,331
16,391
1,066
1,155
9,536
16,841
1,093
1,200
9,929
17,483
1,160
3.9
4.1
3.8
6.1
4.4
4.9
4.0
5.5
4.9
6.8
14,986
21,759
23,616
20,521
14,425
20,528
17,414
19,190
15,811
19,489
15,437
21,936
24,034
20,031
14,586
20,720
17,593
19,438
16,189
19,385
16,102
22,492
24,794
20,289
14,942
21,228
17,910
20,147
16,945
20,122
21
5
4
10
22
9
16
12
19
13
5.1
3.7
4.9
4.3
4.7
5.0
4.2
5.6
3.0
3.9
13,514
19,464
26,799
19,611
31,800
20,326
21,167
16,301
12,377
25,360
13,640
19,461
26,832
19,668
32,583
20,532
21,095
16,874
12,976
25,835
14,183
19,562
27,439
20,216
33,614
21,373
21,690
17,560
13,279
26,779
23
15
2
11
1
7
6
18
24
3
16,037 16.281 16,846
16,537 17,089 17,610
20,771 20,870 21,290
17,870 18,665 19,682
20
17
8
14
391
399
417
2,549
1,251
1,954
,
2,640
1,291
2,025
2,769
1,343
2,137
478
512
3,010
3,214
381
392
412
3,576
5,074
3,687
5,227
3,824
5,486
350
356
371
24,150
14,881
Garrett
Harford
Howard
Kent
Montgomery
Prince Georges
Queen Annes
St. Marys
Somerset
Talbot
488
2,949
25,076
15,286
26,254
16,043
722
732
763
1,246
1,324
1,398
290
777
304
805
313
836
1,954
1,235
2,014
1,298
2,114
1,350
1991
Baraga
Barry
Bay.
Benzie
491
286
218
106
859
2,011
205
5.7
6.3
3.7
3.7
5.1
5.0
5.9
14,450
14,241
13,367
12,060
15,351
16,417
14,827
15,074 15,852
14,432 15,118
13,635 13,921
12,820 13,576
16,181 16,785
17,140 17,936
15,622 16,266
Berrien
Branch
Calhoun
Cass
Charlevoix
Cheboygan
Chippewa
Clare
Clinton
Crawford
2,579
576
2,205
711
332
288
394
299
919
144
2,670
604
2,329
730
353
301
416
319
963
153
2,836
621
2,475
783
374
315
445
341
1,013
161
2.8
6.3
7.1
5.9
4.5
6.9
6.9
5.2
5.8
15,985
13,847
16,176
14,373
15,369
13.435
11,347
11,933
15,808
11,681
16,553
14,472
16,939
14,816
16.117
14,075
11,800
12,349
16,323
12,084
Delta
Dickinson
Eaton
Emmet
Genesee
Gladwin
Gogebic
Grand Traverse
Gratiot
Hillsdale
540
450
1,588
465
7,245
272
233
1,096
550
568
435
1,674
492
7,698
286
254
1,180
575
617
462
1,764
516
7,893
305
263
1,271
610
670
6.0
6.3
5.3
4.9
2.5
6.8
3.5
7.7
6.0
8.5
14,270 14,905 15,751
16,728 16,156 17,118
17,044 17,723 18,515
18,491 19,143 19,799
16,809 17,798 18,208
12,336 12,658 13,271
12,929 14,178 14,715
16,983 17,942 18,884
14,089 14,596 15,456
13,929 14,023 15,083
Houghton
Huron
Ingham
Ionia
losco
Iron
Isabella
Jackson
Kalamazoo
Kalkaska
449
545
4,815
737
40S
176
74'
2,340
4,191
162
478
570
5,019
771
432
178
789
2,403
4,396
179
495
596
5,255
808
429
185
822
2,523
4,628
189
3.6
4.6
4.7
4.9
-.7
3.9
4.2
5,0
5.3
5.6
12,642 13,472 13,808
15,599 16,252 17,032
17,062 17,789 18,646
12,901 13,366 13,940
13,521 13,990 14,191
13,377 13,684 14,105
13,522 14,314 14,622
15,586 15,893 16,628
18,737 19,608 20.511
12,001 12,845 13,457
9,185
25
93
1,247
291
1,458
2,326
90
158
14,530
9,692
26
103
1,296
307
1,530
2,397
99
169
15,101
10,249
27
110
1,333
331
1,622
2,550
91
179
15,963
5.7
4.7
7.1
2.8
7.7
6.0
6.4
-7.4
6.1
5.7
18,285
14,577
10,831
16,589
17,601
15,883
19,950
15,561
14,818
20,223
19,074
15,615
11,653
16,859
18,327
16,373
20,047
17,185
15,736
20,868
299
992
363
420
359
1,589
152
2,231
662
101
323
1,074
382
447
376
1,628
160
2,296
684
107
342
1,127
409
477
402
1,748
172
2,441
738
115
5.8
4.9
7.1
6.8
6.8
7.4
7.4
6.3
7.8
7.5
14,098
13,979
14,174
11,217
14,421
20,918
12,440
16,658
12,426
11,276
15,074 15,581
15,104 15,779
14,731 15,487
11,649 12,371
15,255 16,339
21,197 22,421
12,846 13,496
17,957
12,519 13,303
11,780 12,340
2,299
502
29,518
311
209
122
242
80
270
3,424
2,412
536
30,086
329
226
128
257
88
280
3,564
2,542
570
32,072
349
237
132
285
94
299
3,853
5.4
6.5
6.6
5.9
5.0
3.1
10.9
6.2
6.8
8.1
14,427
13,072
27,168
13,799
11,108
13,763
11,984
10,227
14,939
18,115
15,005 15,691
13,627 13,992
27,312 28,671
14,432 15,185
11,717 12,086
14,493 15,090
12,617 13,821
11,024 11,406
15,040 15.641
18,416 19,531
2.7
5.8
4.0
5.4
7.4
5.5
Arenac
53
4
36
48
32
24
46
52
39
19
5.2
5.9
9.9
4.8
1990
465
269
210
103
818
1,916
194
Alpena
Antrim
12,161
18,089
13,188
12,511
13,339
14,064
12,570
12.213
12,773
14,459
6.1
1991
Rank in
State
Dollars
443
260
200
96
769
1,835
181
1990
61
12,018 12,631
17,024 17,685
11,293 12,161
11,838 13,314
12,596 13,191
12,291 12,765
11,843 12,019
10,610 11,548
11,030 11,698
12,732 13,789
-4.0
10.2
-7.5
Percent
change 2
Millions of dollars
1992
2,042
Piscataquis
Sagadahoc
Somerset
Waldo
Washington
York
,
,
,
Kent
Keweenaw
Lake
Lapeer
Leelanau
Lenawee
Livingston
Luce
,
Mackinac
Macomb
Manistee
Marquette
,
Mason
Mecosta
Menominee
,
Midland
Missaukee
Monroe
Montcalm
Montmorency
Muskegon
Newaygo
Oakland
Oceana
Ogemaw
Ontonagon
Osceola
Oscoda
Otsego
Ottawa
1992
1991-92
1992
1992
17,566
14,833
17,888
15,934
16,819
14,454
12,490
12,924
17,054
12,447
20,018
16,076
12,201
16,971
19,129
17,231
20,786
16,297
16,654
21,920
732
Barnstable
Berkshire
Bristol
Dukes
Essex
Franklin
Hampden
Hampshire
Middlesex
Nantucket
794
13,662
14,291
133,890
132,212
1,678
Massachusetts
Metropolitan portion
Nonmetropolitan portion
760
13,133
,
5.0
4.0
4.5
4.6
136,210
134,485
1,726
141,884
140,099
1,785
4.2
4.2
3.4
22,248 22,719 23,676
22,295 22,766 23,728
19,083 19,600 20,213
4,155
2,693
8,843
Washington
Wicomico
Worcester
Baltimore City
4,282
2,835
9,005
4,459
2,904
9,360
22,203
19,335
17,446
22,559
21,725
17,561
18,758
17,530
25,870
30,092
23,592
21,226
18,477
23,695
23,233
18,501
19,593
17,943
27,510
32,828
6
8
13
5
7
12
11
14
3
1
Presque Isle
Roscommon
Saginaw
St. Clair
St. Joseph
Sanilac '.
Schoolcraft
Shiawassee
Tuscola
Van Buren
183
264
3,399
2,477
869
569
110
1,057
792
978
190
281
3,531
2.563
902
583
119
1,096
832
1,032
195
297
3,673
2,701
969
615
121
1,141
867
1,097
2
9
4
10
Washtenaw
Wayne
Wexford
6,281
37,445
358
6,386
37,452
374
6,747
39,380
405
22,138 22,309 23,427
17,756 17,811 18,787
13,536 14,012 14,955
82,388
62,023
20,365
85,314
64,467
20,847
91,611
69,284
22,326
18,784 19,276 20,503
20,531 21,080 22,377
14,918 15,243 16,274
157
4,139
371
165
4,303
379
173
4,639
400
181
194
205
4.1
2.4
3.9
3.7
4.5
3.0
2.4
2.7
4.4
5.7
16,513
8,590
15,980
13,563
16,775
8,636
16,294
13,785
17,555
9,037
17,014
14,339
4.6
4.6
4.4
4.0
26,785 27,200 28,270
19,698 19,738 20,554
24,146 25,102 26,618
19,091 19,474 20,248
169,808
147,504
22,304
175,001
151,533
23,468
184,765
159,974
24,791
5.6
5.6
5.6
18,239 18,667 19,586
19,134 19,536 20,513
13,929 14,502 15,164
128
108
137
116
143
123
1,401
1,498
1,605
4.6
6.4
7.2
12,642
11,999
15,402
263
,
,
,
See footnotes at end of table.
271
281
14,568
1,234
8,563
2,573
36,171
,
Michigan
Metropolitan portion
Nonmetropolitan portion
Alcona
Alger
Allegan
1992
484
698
St. Mary
St. Tammany
Tangipahoa
Tensas
Terrebonne
Union
Vermilion
Vernon
Washington
Webster
Norfolk
Plymouth
Suffolk
Worcester
1991
Dollars
Per capita personal income3
Total personal income
Rank in
State
14,897
1,261
8,647
2,576
36,753
15,566
1,299
8,859
2,646
38,361
22,834
20,567
17,774
23,126
22,262
17,962
19,031
17,496
26,377
31,595
13,367
12,459
16.291
13,952
13,147
17,244
Minnesota
Metropolitan portion
Nonmetropolitan portion
65
75
22
Aitkin
Anoka
Becker
13,319 13,718
13,238 13,759
16,032 16,620
16,927 17,244
14,748 15,261
14,226 14,468
13,268 14,384
15,125 .15,580
14,257 14,923
13,909 14,488
12,614
16,872
13,297
13,199
17,046
13.459
14,052
14,238
17,284
17,994
16,315
15,069
14,328
16,106
15,452
15,164
13,684
17,913
14,085
140 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
1 personal income
Fotal
Percent
change2
Millions of dollars
Area name
1990
1991
1992
Dollars
1991-92 1990
1991
1992
437
435
92
828
439
396
979
467
445
96
853
454
419
1,005
496
41
8
100
928
485
453
1,108
63
.
82
.
45
.
88
.
68
.
83
.
10.3
12,674
14,315
14,761
15,298
16,261
13,516
20,238
13,251
14,338
15,555
15,736
16,904
14,213
20,033
13,824
15,269
16,789
17,209
18,026
15,299
21,322
7
9
68
43
29
20
65
7
279
216
469
696
92
64
16
9
650
5,833
21
5
295
213
485
709
98
69
192
688
6,098
254
31
2
21
2
518
780
104
74
204
739
6,645
21
7
90
.
37
.
68
.
10.0
57
.
83
.
63
.
74
.
90
.
69
.
12,737
16,380
15,267
13,791
11,109
16,611
15,466
14,625
20,995
15,848
13,286
16,258
15,441
14,008
11,979
17,325
15,507
15,170
21,275
15,885
14,058
17,073
16,012
15,277
12,726
18,242
16,496
15,913
22,445
16,749
78
33
54
67
87
17
46
57
3
44
404
21
7
306
508
675
97
25,577
292
187
385
419
262
312
508
707
100
26,348
292
198
400
449
285
315
542
770
114
28,322
310
21
1
430
72
.
86
.
.
8
68
.
88
.
14.1
75
.
60
.
64
.
75
.
14,087
16,058
14,720
15,381
16,553
15,504
24,738
15,759
12,537
14,820
14,443
15,813
15,203
15,549
17,249
16,187
25,377
15,779
13,028
15,148
15,397
17,308
15,336
16,723
18,729
18,765
27,197
16,479
13,648
16,132
63
28
64
45
1
1
10
1
47
8
1
53
Itasca
Jackson
Kanabec
Kandiyohi
Kittson
Koochiching
Lac Qui ?arle
Lake
Lake of the Woods
Le Sueur
550
187
164
605
11
1
230
19
3
17
3
59
364
51
8
177
172
632
92
228
19
3
147
62
370
609
184
185
663
13
2
240
16
4
16
5
66
400
49
.
36
.
77
.
49
.
34.2
52
.
48
.
61
.
61
.
83
.
13,424
16,022
12,789
15,597
19,286
13,981
15,656
13,141
14,484
15,678
14,119
15,247
13,375
16,175
16,164
14,070
15,958
14,096
14,683
15,815
14,690
15,871
14,264
16,824
21,991
14,858
16,886
14,781
15,292
17,018
72
59
75
4
1
4
70
38
7
1
66
36
Lincoln
Lyon
McLeod
Mahnomen
Marshall
Martin
Meeker
Mille Lacs
Morrison
Mower
98
396
517
6
1
164
390
310
255
366
623
11
0
422
537
57
19
3
374
317
263
372
61
6
11
0
455
586
65
184
409
330
282
398
695
-8.2
77
.
92
.
12.8
32.0
93
.
39
.
71
.
70
.
51
.
14,292
15,999
16,088
12,197
14,998
16,996
14,852
13,658
12,334
16,670
15,023
17,178
16,664
11,441
12,884
16,430
15,151
13,833
12,564
17,697
14,956
18,547
18,098
12,852
17,188
18,121
15,879
14,635
13,417
18,695
69
1
4
1
9
86
3
1
1
8
58
Murray
Nicollet
Nobles
Norman
Olmsted
Otter Taii
Pennington
Pine
Pipestone
Polk
10
5
432
342
17
3
2,131
724
197
252
157
505
152
445
349
11
2
2,250
746
200
266
16
6
489
162
487
357
144
2,386
795
219
286
16
6
555
66
.
94
.
21
.
18.7
61
.
96
.
75
.
.
2
13.5
15,604
15,363
17,029
17,281
19,923
14J271
14,824
11,800
15,006
15,545
15,820
15,721
17,438
15,485
20,617
14,600
14,977
12,374
15,962
15,138
16,828
17,038
17,726
18,662
21,595
15,477
16,475
13,083
16,004
17,164
40
35
22
1
3
5
6
1
48
85
55
32
Pope
Ramsey
Red Lake
Redwood
Renville
Rice
Rock
Roseau
St. Louis
Scott
13
4
9,995
57
283
287
749
175
21
4
3,094
1,059
142
10,561
54
282
294
780
16
7
232
3,257
1,116
16
5
11,242
62
31
0
306
827
11
8
263
3,459
1,224
96
.
64
.
15.0
66
.
39
.
61
.
30
.
13.5
62
.
97
.
13,247
20,576
12,614
16,493
16,286
15,180
17,899
15,997
15,590
18,182
13,277
21,766
12,215
16,519
16,793
15,627
18,023
15,063
16,409
18,536
14,518
23,129
14,245
17,698
17,616
16,426
18,464
16,930
17,426
19,657
74
2
76
23
24
49
15
37
27
9
Sherburne
Sibley
Stearns
Steele
Stevens
Traverse
Wabasha
Wadena
630
21
1
1,721
527
16
6
16
5
283
82
322
155
665
209
1,818
539
19
6
19
5
21
9
8
1
328
19
5
718
21
2
1,961
573
180
165
31
1
94
350
170
80
.
56
.
78
.
64
.
60
.
39
.
70
.
15.8
69
.
70
.
14,873
14,734
14,448
17,102
15,670
14,574
12,121
18,406
16,285
11,831
15,136
14,662
15,124
17,430
16,061
15,081
12,496
18,621
16,482
12,284
15,647
15,474
16,178
18,414
17,192
15,935
13,361
21,408
17,541
13,278
60
62
52
1
6
30
56
83
6
25
84
Waseca
Washington
Watonwan
Wilkin
Winona
Wright
Yellow Medicine
282
2,994
183
19
0
740
1,089
19
7
286
3,087
175
110
71
6
1,138
182
296
3,288
197
19
2
805
1,218
18
8
35
.
65
.
12.9
18.0
58
.
70
.
31
.
15,597
20,357
15,606
14,548
15,480
15,771
15,342
15,685
20,253
15,020
14,772
15,918
16,084
15,756
16,393
20,758
17,065
17,513
16,850
16,822
16,318
50
8
34
26
39
42
5
1
32,398
34,265
36,827
Beltrami
Benton
Big Stone
Blue Earth
Brown
Carlton
Carver
Cass
Chippewa
Chisago
Clay
Clearwater
Cook
Cottonwood
Crow Wing
Dakota
Dodge
Douglas
Faribault
Fillmore
Freeborn
Goodhue
Grant
Hennepin
Houston
Hubbard
Isanti
Swift
Todd
Mississippi
See footnotes at end of table.
66
.
75 12,578 13,218 14,082
.
Area name
1992
7
3
8
2
12
Per capita personal income 3
Total personal income
Rank in
State
Millions of dollars
1990
Metropolitan portion
Nonmetropolitan portion
Adams
Alcorn
Amite
Attala
Benton
Bolivar
Calhoun
Carroll
Chickasaw
Choctaw
Claiborne
Clarke
Clay
Coahoma
Copiah
Covington
De Soto
Forrest
Franklin
George
Greene
Grenada
Hancock
Harrison
Hinds
Holmes
Humphreys
Issaquena
Itawamba
Jackson
Percent
change 2
1991
1992
11,328
21,070
11,995
22,269
12,865
23,962
449
411
122
199
74
437
166
93
210
90
458
434
129
213
78
497
174
98
223
92
497
476
138
225
85
535
192
106
241
103
201
256
361
280
173
1,087
883
82
175
105
213
269
401
291
183
1,139
920
86
185
115
223
286
425
318
201
1,227
977
93
202
95
264
397
101
285
423
2,299
4,200
210
156
27
248
2,192
3,994
191
148
22
236
1,566
1991-92
7.3
7.6
1990
1991
14,573
11,716
15,223 16,023
12,343 13,222
8.5 12,726
9.7 12,939
6.8 9,218
5.2 10,776
8.8 9,230
7.6 10,444
9.9 11,118
8.7 10,052
8.1 11,600
7.4 9,906
1992
12,973
13,494
9,660
11,527
9,820
11,960
11,789
10,488
12,320
10,096
14,306
14,622
10,290
12,215
10,617
12,795
12,911
11,420
13,367
10,879
9.5
5.0
6.2
6.0
9.4
10.0
7.7
6.1
7.8
9.1
9,027
9,166
11,634 12,306
12,097 12,614
11,432 12,716
10,133 10,520
10,447 11,097
15,846 15,943
12,916 13,372
9,816 10,491
10,448 10,885
9,946
12,901
13,364
13,426
11,427
12,190
16,572
13,981
11,382
11,748
113
303
451
2,474
4,459
209
156
26
274
1,851
11.2
6.6
6.7
7.6
6.2
-.4
-.1
-5.9
10.6
9.0
9,260
12,243
12,456
13,258
15,700
8,850
12,239
11,676
11,765
13,597
10,522
13,835
13,549
14,584
17,515
9,805
13,061
13,731
13,609
15,298
10,245 11,139 11,980
7,949
9,435
8,298
9,440 9,811 10,429
12,621 13,487 14,578
10,048 10,779 11,760
11,599 12,269 13,135
12,362 12,864 13,645
14,400 15,126 15,980
10,678 11,234 12,387
10,850 11,889 13,027
Jasper
Jefferson
Jefferson Davis
Jones
Kemper
Lafayette
Lamar
Lauderdale
Lawrence
Leake
175
68
132
782
104
370
377
1,087
133
201
70
136
835
111
394
397
1,146
140
219
206
80
145
905
120
423
425
1,219
153
241
8.9
14.5
6.3
8.4
7.8
7.6
7.1
6.4
9.8
9.6
Lee
Leflore
Lincoln
Lowndes
Madison
Marion
Marshall
Monroe
Montgomery
Neshoba
1,007
469
355
836
798
271
325
427
129
283
1,061
503
374
844
855
281
336
441
137
305
1,164
540
398
891
919
302
365
475
149
332
9.7
7.3
6.5
5.6
7.5
7.6
8.5
7.6
8.1
8.9
248
117
427
329
422
101
400
263
246
104
258
121
447
349
442
103
428
275
260
108
280
138
473
379
472
115
460
30I
283
12!
Rankin
Scott
Sharkey
Simpson
Smith
Stone
Sunflower
Tallahatchie
Tate
Tippah
1,294
285
77
273
173
126
345
141
268
222
1,382
310
83
292
184
136
380
150
281
233
Tishomingo
Tunica
Union
Walthall
Warren
Washington
Wayne
Webster
Wilkinson
Winston
192
82
27:
130
698
788
209
113
87
220
Yalobusha
Yazoo
148
315
Newton
Noxubee
Oktibbeha
Panola
Pearl River
Perry
Pike
Pontotoc
Prentiss
Quitman
Rank in
State
Dollars
15,286
12,567
11,713
14,034
14,704
10,598
10,682
11,659
10,371
11,391
13,059
13,025
13,821
16,492
9,776
13,080
14,430
12,363
14,427
15,783
13,431
12,297
14,053
15,325
11,081
10,802
12,010
11,201
12,186
17,015
14,411
12,925
14,757
15,780
11,886
11,634
12,941
12,150
13,080
8.5
14.5
5.9
8.6
6.9
11.7
7.6
10.9
8.6
15.6
12,201 12,575
9,273
9,647
11,112 11,688
10,934 11,433
10,864 11,239
9,342
9,342
10,861 11,631
12,194
11,785
10,572 11,110
9,989 10,477
13,581
11,058
12,319
12,194
11,848
10,33:
12,436
13,293
12,085
12,431
1,48!
357
82
327
200
146
398
164
300
250
7.4
15.1
-1.5
11.8
8.4
7.4
4.8
9.5
6.7
7.6
14,755
11,763
10,874
11,365
11,698
11,661
10,500
9,272
12,477
11,327
15,417
12,845
11,848
12,144
12,518
12,39!
11,335
9,947
12,988
11,953
16,106
14,630
11,730
13,531
13,523
12,946
11,780
11,105
13,733
12,686
202
84
287
138
732
855
219
119
92
223
221
96
314
150
784
881
242
128
101
234
9.4
14.2
9.6
8.7
7.1
2.9
10.5
7.8
10.2
4.7
10,820
10,069
12,301
9,029
14,594
11,617
10,689
11,110
8,998
11,333
11,320
10,399
12,868
9,575
15,323
12,686
11,158
11,621
9,646
11,397
12,33;
11,885
14,007
10,445
16,346
13,203
12,421
12,499
10,734
11,98:
152
332
16;
344
9.5
3.7
12,266
12,384
12,646
13,013
13,788
13,539
1992
April 1994
SURVEY OF CURRENT BUSINESS
• 141
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
Dollars
1990
1991 1992
1992
67,681
21,564
93,442
70,812
22,631
98,470
74,411
24,058
5.4
5.1
6.3
Adair
Andrew
Atchison
Audrain
Barry
Barton
Bates
Benton
Bollinger
Boone
306
213
111
352
360
152
201
160
115
1,834
327
219
115
364
384
157
201
170
121
1,969
350
228
124
383
401
176
226
179
129
2,105
7.0
4.3
7.3
5.3
4.3
12.0
12.3
5.5
6.6
6.9
12,456
14,514
14,938
14,912
13,015
13,438
13,394
11,447
10,821
16,269
14,344
15,387
17,252
16,394
13,989
15,313
15,032
12,400
12,057
18,004
43
11
21
71
45
54
99
103
9
Buchanan
Butler
Caldwell
Callaway
Camden
Cape Girardeau
Carroll
Carter
Cass
Cedar
1,309
506
102
480
414
982
152
61
1,029
147
1,370
549
105
503
432
1,035
153
66
1,055
151
1,423
593
115
528
463
1,107
171
70
1,135
158
3.9
8.0
9.3
4.9
7.0
7.0
11.4
5.3
7.6
4.6
15,755 16,530 17,116
13,020 13,972 15,007
12,219 12,610 13,731
14,607 15,086 15,658
15,001 15,341 15,981
15,900 16,599 17,482
14,160 14,495 16,149
11,014 11,663 12,207
16,026 15,988 16,818
12,157 12,563 13,148
12
56
79
37
27
10
26
101
15
93
Chariton
Christian
Clark
Clay
Clinton
Cole
Cooper
Crawford
Dade
Dallas
131
459
83
2,853
250
1,081
203
245
94
147
137
497
87
2,936
256
1,129
218
254
97
152
144
539
98
3,132
271
1,198
233
275
107
162
4.9
8.6
13.0
6.7
5.6
6.1
6.9
8.0
9.8
6.6
14,246 15,100 16,169
13,893 14,320 14,926
11,105 11,573 13,043
18,502 18,716 19,691
14,982 15,231 15,944
16,959 17,440 18,314
13,687 14,702 15,573
12,728 12,947 13,844
12,650 13,080 14,272
11,589 11,668 12,263
25
58
94
5
28
7
39
76
69
100
Daviess
De Kalb
Dent
Douglas
Dunklin
Franklin
Gasconade
Gentry
Greene
Grundy
94
102
169
117
415
1,273
204
88
3,444
142
97
106
179
122
461
1,321
211
95
3,680
147
104
113
189
132
497
1,386
222
98
3,929
156
7.7
6.9
5.7
8.1
8.0
4.9
5.3
2.9
6.8
5.9
11,944 12,236 13,447
10,273 10,635 11,401
12,356 13,025 13,841
9,841 10,288 11,152
12,521 14,029 15,092
15,705 16,038 16,595
14,550 14,988 15,699
12,917 14,084 14,560
16,513 17,418 18,270
13,555 14,061 15,009
85
111
77
112
51
17
36
67
8
55
113
269
78
85
130
376
121
11,685
1,322
2,465
120
273
82
92
139
403
130
12,297
1,417
2,558
124
296
87
96
146
431
138
12,962
1,516
2,685
3.2
8.3
6.5
4.5
5.0
6.8
6.6
5.4
7.0
4.9
13,387
13,394
10,701
13,994
13,463
11,887
11,258
18,447
14,600
14,294
14,366 14,924
13,544 14,627
10,837 11,432
15,409 16,239
14,512 15,150
12,561 13,220
12,098 12,983
19,393 20,443
15,586 16,499
14,585 15,059
59
66
110
24
48
89
95
3
19
52
528
57
352
481
376
125
421
192
220
201
553
58
361
500
398
130
442
202
227
218
592
63
385
529
421
142
468
209
244
230
7.1
8.2
6.9
5.7
5.8
8.8
5.9
3.2
7.6
5.6
12,369
12,644
12,935
15,468
12,416
12,240
14,501
13,884
15,129
11,832
12,785
13,039
13,195
16,066
13,078
12,732
14,804
14,695
15,777
12,735
13,504
14,233
13,932
17,023
13,745
13,952
15,444
15,287
16,857
13,209
82
70
74
13
78
72
41
46
14
92
Macon
Madison
Maries
Marion
Mercer
Miller
Mississippi
Moniteau
Monroe
Montgomery
215
132
97
384
39
272
187
170
132
166
225
141
103
410
41
282
192
179
132
172
231
148
106
439
44
296
213
184
139
186
2.8
5.1
2.8
7.3
8.0
4.9
10.8
2.8
5.2
7.8
14,029 14,854
11,887 12,610
12,223 12,627
13,847 14,831
10,355 10,982
13,106 13,508
12,972 13,411
13,802 14,513
14,502 14,792
14,565 15,236
15,365
13,232
12,963
15,826
11,855
13,902
15,133
14,874
15,707
16,480
33
105
75
49
61
35
20
Morgan
New Madrid
Newton
Nodaway
Oregon
Osage
Ozark
Pemiscot
Perry
Pettis
199
272
628
287
101
180
99
253
234
524
209
275
661
302
108
185
103
268
244
537
218
307
707
314
113
193
107
288
263
565
4.3
11.9
6.9
4.1
4.6
4.1
3.8
7.2
7.7
5.2
12,741 13,362
12,990 13,216
14,102 14,672
13,215 14,144
10,615 11,349
14,968 15,383
11,400 11,897
11,555 12,365
14,007 14,559
14,755 15,097
13,599
14,750
15,493
14,805
11,903
15,900
12,165
13,384
15,619
15,871
104
31
102
86
38
32
485
212
1,191
272
487
511
220
1,232
285
523
537
233
1,314
303
565
5.0
6.1
6.6
6.4
8.0
13,723 14,371
13,264 13,770
20,448 20,626
12,411 12,739
11,653 12,478
14,853
14,642
21,321
13,451
12,932
65
2
84
97
Harrison
Henry
Hickory
Holt
Howard
Howell
Iron
Jackson
Jasper
Jefferson
Johnson
Knox
Laclede
Lafayette
Lawrence
Lewis
Lincoln
Linn
Livingston
McDonald
..,
Phelps
Pike
Platte
Polk
Pulaski
See footnotes at end of table.
1991-92
17,407 18,121 18,970
19,350 20,109 20,999
13,236 13,841 14,605
13,400
14,827
15,672
15,469
13,732
13,754
13,406
11,981
11,375
17,165
Area name
1992
1991
Missouri
Metropolitan portion
Nonmetropolitan portion
Percent
change 2
Millions of dollars
1990
1991
1992
61
125
338
297
73
64
131
348
305
80
67
143
362
329
77
122
3,909
103
224
597
25,112
347
51
64
551
133
4,034
108
228
634
26,101
369
53
67
572
72
103
391
288
74
386
236
265
295
218
1991-92
Rank in
State
Dollars
1990
1991 1992
1992
8.9
4.1
7.8
-2.9
12,056 12,746 13,483
14,731 15,445 16,737
13,899 14,705 15,197
13,486 13,927 15,105
10,974 11,861 11,740
83
16
47
50
106
141
4,268
116
240
663
27,230
373
56
75
608
5.9
5.8
7.4
5.2
4.5
4.3
1.1
4.5
11.7
6.5
9,892 10,656 11,148
18,212 18,340 18,869
12,142 12,810 13,571
13,915 14,207 14,877
12,171 12,782 13,217
25,246 26,157 27,211
14,800 15,950 16,351
12,037 12,710 13,360
13,353 14,189 15,921
13,964 14,557 15,394
113
6
81
60
91
1
78
105
407
304
80
412
243
282
306
230
83
108
436
340
82
457
255
280
325
239
6.0
3.4
7.0
11.8
2.2
11.1
4.8
-.6
6.1
3.7
9,426
14,827
13,530
15,034
11,740
15,011
10,971
13,919
14,991
10,636
10,273
15,304
14,138
15,368
12,860
15,584
11,168
14,743
15,179
11,158
10,653
15,913
15,055
16,308
13,218
16,574
11,723
14,953
15,716
11,480
115
30
53
23
90
18
108
121
283
30
183
6,930
131
292
32
182
7,362
135
315
33
195
7,615
3.3
7.9
4.4
7.2
3.4
10,478
11,916
12,482
10,873
17,524
11,027
12,169
12,961
10,770
18,834
11,138
12,913
13,949
11,462
19,844
114
98
73
109
4
11,790
3,149
8,641
12,623
3,348
9,275
13,344
3,568
9,776
5.7
6.6
5.4
14,743
16,466
14,201
15,632 16,227
17,293 18,082
15,108 15,641
119
123
79
43
121
19
1,241
95
174
35
126
123
79
47
127
21
1,305
110
184
40
128
128
85
52
132
20
1,383
97
196
43
1.0
4.1
7.0
10.3
4.1
-5.0
6.0
-11.9
14,099
10,904
11,848
13,062
15,025
12,608
15,974
17,417
14,881
15,637
14,971 14,847
10,732 10,949
11,733 12,524
14,126 14,855
15,912 16,029
14,510 13,328
16,651 17,452
20,331 17,796
15,830 16,683
18,850 20,393
36
56
53
35
23
Dawson
Deer Lodge
Fallon
Fergus
Flathead
Gallatin
Garfield
Glacier
Golden Valley
Granite
128
125
42
181
892
742
23
136
13
33
140
129
47
188
956
810
24
155
15
36
140
138
48
192
1,033
873
22
160
15
37
-.4
7.0
1.8
2.4
8.0
7.8
-10.1
3.3
-1.2
1.3
13,646 15,140 15,443
12,232 12,766 13,759
13,643 15,062 15,754
14,947 15,264 15,514
14,989 15,721 16,440
14,627 15,620 16,202
14,679 16,009 15,065
11,228 12,834 13,095
14,374 16,963 16,783
13,010 14,356 14,462
30
44
26
29
18
22
33
50
14
38
Hill
Jefferson
Judith Basin
Lake
Lewis and Clark
Liberty
Lincoln
McCone
Madison
Meagher
261
128
32
271
755
44
210
27
77
27
285
133
35
287
806
50
217
30
81
30
289
143
35
306
871
45
234
29
82
31
1.7
7.7
8.1
-10.7
7.9
-2.6
1.8
2.0
14,757 16,065
16,023 16,346
13,931 15,546
12,902 13,306
15,880 16,679
19,343 22,139
12,029 12,356
12.126 13,831
12,861 13,201
15,056 16,664
16,257
17,316
15,679
13,897
17,534
19,851
13,231
13,960
13,506
17,137
21
10
27
42
7
2
49
41
47
11
Mineral
Missoula
Musselshell
Petroleum
Phillips
Pondera
Powder River
Powell
Prairie
Ravalli
37
1,188
50
6
75
96
26
84
20
326
38
1,264
55
9
74
108
31
92
23
348
40
1,385
56
8
71
99
30
94
21
377
9.6
.9
-13.8
-3.9
-8.4
-3.9
2.7
-9.4
8.3
11,111
15,053
12,227
11,206
14,463
15,038
12,735
12,619
14,366
13,007
11,514 11,672
15,703 16,801
13,378 13,608
17,619 15,305
14,396 13,989
17,328 15,985
15,100 14,506
13,696 13,883
17,698 16,402
13,373 13,744
55
13
46
32
40
24
37
43
19
45
Richland
Roosevelt
Rosebud
Sanders
Sheridan
Silver Bow
Stillwater
Sweet Grass
Teton
Toole
147
118
150
100
67
522
95
45
94
81
156
126
175
104
75
543
98
48
106
91
157
137
173
110
81
579
104
49
97
1.0
9.1
-1.3
5.7
7.1
6.5
5.2
3.7
-8.6
-2.4
13,805
10,718
14,272
11,479
14,180
15,392
14,417
14,204
15,056
16,117
14,703
11,673
16,758
12,096
16,600
15,991
14,669
15,153
17,121
18,444
14,941
12,654
16,296
12,468
17,981
16,966
15,375
15,798
15,623
17,893
34
52
20
54
4
12
31
25
28
5
Treasure
Valley
Wheatland
14
118
33
14
133
38
15
137
39
1.3
2.9
15,579
14,446
14,457
16,479
16,323
16,592
16,536
16,724
17,328
17
15
9
Putnam
Rails
Randolph
Ray
Reynolds
80
64
40
63
Per capita personal income3
Total personal income
Rank in
State
Ripley
St. Charles
St. Clair
Ste. Geneyieve
St. Francois
St. Louis
Saline
Schuyler
Scotland
Scott
Shannon
Shelby
Stoddard
Stone
Sullivan
Taney
Texas
Vernon
Warren
Washington
Wayne
Webster
Worth
Wright
St. Louis City
Montana
Metropolitan portion
Nonmetropolitan portion
Beaverhead
Big Horn
Blaine
Broadwater
Carbon
Carter
Cascade
Chouteau
Custer
Daniels
22
87
29
42
107
57
34
6
16
1
142 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Percent
change 2
Millions of dollars
Area name
1990
1992
1991
13
1,907
181
15
2,043
197
27,470
14,532
12,938
28,720
15,395
13,325
14
2,185
209
30,368
16,335
14,033
Adams
Antelope
Arthur
Banner
Biaine
Boone
Box Butte
Boyd
Brown
Buffalo
509
122
7
15
13
122
249
41
62
560
533
122
6
15
12
124
253
38
60
590
Burt
119
139
344
138
80
98
175
131
142
183
122
144
365
139
83
Custer
Dakota
Dawes
Dawson
Deuel
Dixon
Dodge
Douglas
Dundy
Fillmore
Wibaux
Yellowstone
Park (incl. Ylwstn. Natl. Park) ..
1991-92
Rank in
State
Dollars
1990
1991
1992
51
3
39
11,066 12,604 12,810
16,803 17,730 18.506
12,249 13,520 14,076
5.7
6.1
5.3
17,379 18,059 18,974
18,396 19,240 20,181
16,364 16,863 17,738
562
127
7
15
14
128
259
41
64
642
5.4
4.4
13.0
3.3
12.7
3.4
2.4
8.8
5.7
8.8
17,214 18.006 19,062
15,382 15.413 16,321
15,331 14,422 15.864
17,426 17.894 18.077
18,857 17.827 20.600
18,318 18.700 19.616
18,947 19.392 20.008
14,631 13.813 15.263
16,951 16,532 17,574
14,894 15.565 16,819
29
76
81
40
12
21.
14
131
149
194
125
156
389
148
85
100
188
135
158
194
2.8
8.2
6.5
6.8
2.3
11.9
1.1
3.2
5.5
.2
15,107
16,174
16.075
13,680
18,114
15,578
18,440
18,497
15,482
18,156
15.580 16,052
16,836 18,105
16,900 17,623
13,789 14,738
19,013 19,968
14.226 15,795
19,759 19,722
18,517 18,855
16,232 16,831
19,361 19,517
79
39
48
88
15
82
18
32
66
23
217
234
116
343
41
95
541
8,347
54
155
226
241
120
377
41
101
566
8,841
55
152
237
265
128
395
42
105
597
9,404
57
159
5.2
9.9
6.6
4.7
2.9
4.2
5.5
6.4
3.1
4.7
17,683
13,931
12,984
17,169
18,137
15,487
15,679
19.987
20,922
21,814
18,428 19.339
14,238 15,460
13.644 14,548
18,255 18,253
18,487 19,383
16,316 17,064
16,433 17,322
20,933 22,055
21,734 23,118
21,504 22,777
26
85
90
37
24
62
59
5
3
4
Franklin
Frontier
Furnas
Gage
Garden
Garfield
Gosper
Grant
Greeley
Hall
65
48
94
380
44
34
38
14
47
795
64
44
94
380
43
35
40
14
47
850
101
404
45
36
42
13
50
5.9
9.3
6.7
6.3
3.5
4.1
4.5
-A.7
7.4
5.0
16,521
15.515
16.960
16.663
17,839
15,81;
19,773
18.745
15,624
16,210
16,572 17,620
14,228 15,487
16,882 17,961
16,790 17,878
18,382 19,292
15,972 17,228
19,976 20,684
18,033 16,831
15,596 17,073
17,206 17,965
49
84
42
44
27
60
11
67
61
41
Hamilton
Harlan
Hayes
Hitchcock
Holt
Hooker
Howard
Jefferson
Johnson
Kearney
151
68
28
58
203
14
82
152
73
119
160
66
35
60
202
14
83
147
71
133
168
69
35
62
223
14
91
157
75
136
4.8
4.8
2.3
4.0
10.4
3.7
10.1
7.0
5.9
2.3
17,036
17,917
23,343
15,389
16,152
17,713
13.621
17,345
15.596
17,954
17,956
17,600
29,124
16.186
16.073
18,182
13,536
16,992
15,240
20,413
18,715
18,683
29,938
17,480
17,878
19,885
14,683
18,419
16,365
20,857
33
34
2
53
45
17
89
36
75
130
18
74
141
3,696
512
16
7
11
515
133
14
75
136
3,927
548
16
8
10
530
138
16
76
145
4,171
574
17
8
9
559
3.9
16.3
2.1
6.7
6.2
4.8
5.4
.2
-.5
5.5
15,121 15,747 16,479
17,953 13,656 16.682
18,295 18.390 18.981
14,802 14.550 15,542
17,23" 18,123 18.995
15,754 16,697 17.331
18.111 18,111 19,371
10,376 11,294 11,020
19,259 17,415 17,945
15,76] 16,189 16,922
72
69
31
83
30
58
25
93
43
64
120
102
71
128
96
221
5;
68
189
118
124
108
71
135
92
225
55
62
202
118
130
107
75
137
98
241
59
66
206
125
5.2
-.7
5.8
1.8
6.7
7.4
6.7
5.4
2.0
6.1
14,952
18,746
16,741
16,052
16,638
15,583
17,249
20.257
19.502
15,111
15,495
20,302
16,645
16,943
16,130
15,808
16,672
19,265
20,630
15,103
16,187
20,268
17,700
17,359
17,560
16,890
18,462
20.696
21.121
16,115
77
13
47
57
52
65
35
10
6
78
498
106
183
159
37
201
1,612
27586
259
510
108
185
16'
38
202
1,711
286
620
266
53;
11193
170
41
221
1,771
303
64'
283
5.2
5.2
4.1
5.8
8.3
9.2
3.5
5.8
3.8
6.5
16,693
18,636
15.697
15,958
18,380
15,846
15,646
14.967
16,282
16,717
17,046
19,600
16,129
16,325
19,100
16,024
16,169
15,633
17.105
17,171
17,820
20.762
16,977
17,422
20,959
17,466
16,518
16.395
17,601
18,17
46
9
63
56
7
106
54
102
56
104
60
2.0
7.6
15,859 15,542 15,910
14.606 15,229 16,449
80
73
Butler
Cass
Cedar
Chase
Cherry
Cheyenne
Clay
Colfax
Cuming
Keith
Keya Paha
Kimball
Knox
Lancaster
Lincoln
Logan
Loup
McPherson
Madison
Merrick
Morrill
Nance
Nemaha
Nuckolls
Otoe
Pawnee
Perkins
Phelps
Pierce
Plane
Polk
Red Willow
Richardson
Rock
Saline
Sarpy
Saunders
Scotts Bluff
Seward
Sheridan
Sherman
See footnotes at end of table.
55
71
74
50
38
Percent
change 2
Millions of dollars
Area name
991-92
1990
1991
1992
121
16
82
85
309
133
14.062
15.681
18.789
17,750
11,623
16,741
17,907
13,550
12,300
15,721
18,361
19,083
11.833
16,870
18,487
13,913
13,366
16,612
19,632
19,959
12,650
17,467
19,703
14,918
77
24
253
76
26
264
28
284
17,992 18.094 19,162
25,450 27,706 30,050
17,551 18,321 19,601
24,682
21,026
3,656
26,582
22,666
3,917
28,931
24,744
4,187
9.2
6.9
277
14,813
701
621
27
33
240
116
69
339
299
16,046
763
670
34
33
262
121
72
366
325
17,563
804
724
39
34
275
130
72
394
8.6
9.5
5.4
8.0
12.6
2.1
5.0
7.4
.6
7.7
107
289
72
47
5,925
157
850
109
307
72
50
6,313
156
119
326
74
53
6,856
163
982
8.6
6.3
2.5
5.8
8.6
4.0
8.1
16,662 17,742 19,138
16,008 16,346 16,698
16,637 16,520 16,707
18,479 19,059 20,777
23,113 24,035 25,529
16,696 16,352 16,980
20,910 21,784 22,919
22,491
14,267
8,224
23,231
14,664
8,568
24,457
15,463
8,994
5.3
5.5
5.0
20,231 20,973 21,933
20,742 21,448
19,401 20,206 21,200
960
756
1,287
582
1,489
7,213
2,470
5,274
1,779
681
978
785
1,339
619
1,577
7,419
2,573
5,406
1,838
1,008
823
1,413
642
1,662
7,809
696
2,712
5,706
1,949
734
3.0
4.9
5.6
3.7
5.4
5.2
5.4
5.6
6.0
5.5
19,474
21,279
18,328
16,674
19,856
21,420
20.521
21.379
17,049
17,616
19,956
21,921
18.994
17,819
21,023
22,052
21.366
22,210
17,707
18,088
20,481
22,700
20,01:
18,684
21,969
22,963
22,619
23,181
18.623
19.190
187,167
187,167
191,559
191,559
204,038
204,038
6.5
6.5
24,182 24,644
24,182 24,644
26,091
26,091
Atlantic
Bergen
Burlington
Camden
Cape May
Cumberland
Essex
Gloucester
Hudson
Hunterdon
5,210
26,643
8,373
10,160
2,019
2.378
18.204
4,260
10,753
3,024
5,208
26,739
8,570
10,402
5,540
28,235
9,066
11,042
2,199
3,142
2,661
20,268
4,664
11,853
3,373
6.4
5.6
5.8
6.2
6.9
7.2
6.8
6.7
7.7
7.3
23,135
32,273
21,136
20,181
21,188
17,199
23,417
18,430
19,440
27,965
22,892
32,296
21,488
20,563
21,374
17,911
24.515
18,638
19,889
28,773
24,148
33,815
22,801
21,748
22,708
19,213
26,206
19,691
21,359
30,139
Mercer
Middlesex
Monmouth
Morris
Ocean
Passaic
Salem
Somerset
Sussex
Union
8,440
15,817
14,110
13,171
8,782
9,392
1,226
7,854
2,812
12,657
8,71
16.242
14,394
13,468
9,128
9,552
1,268
8,099
2,849
12,971
9,32
17.364
15,408
14,393
9.633
10,125
1,368
8,659
3,043
13,769
7.0
6.9
7.0
6.9
5.5
6.0
7.8
6.9
6.8
6.2
25,877
23,502
25,461
31,236
20,211
20,726
18,750
32.535
21,406
25,645
26,639
23,968
25.761
31,787
20,924
21,034
19,463
32,968
21,463
26,303
28,443
25,369
27,226
33,616
21,976
22,196
21,000
34,580
22,581
27,910
1991
1990
Sioux
Stanton
Thayer
Thomas
Thurston
Valley
Washington
Wayne
22
98
124
15
81
86
298
127
Webster
Wheeler
York
Nevada
Metropolitan portion
Nonmetropolitan portion
Churchill
Clark
Douglas
Elko
Esmeralda
Eureka
Humboldt
Lander
Lincoln
Lyon
Mineral
Nye
Pershing
Storey
Washoe
White Pine
Carson City
New Hampshire
Metropolitan portion
Nonmetropolitan portion
Belknap
Carroll
Cheshire
Coos
Grafton
Hillsborough
Merrimack
Rockingham
Stratford
Sullivan
...
New Jersey
Metropolitan portion
1992
Rank in
State
Dollars
21
103
128
16
88
87
335
142
1992
-.9
7.0
5.8
Nebraska
Metropolitan portion
Nonmetropolitan portion
Per capita personal income 3
Total personal income
2,058
2,482
18,974
4,371
11,011
20,248 20,639 21,648
20,429 20,773 21,826
19,267 19,896 20,652
15.385
19.623
25,101
18,148
19,917
21,105
18,498
18,429
18,096
16,738
16,090
19,818
25,623
18,660
26,785
20,390
19,160
18,810
19,164
17,099
17,242
20,769
25,820
19,385
28,891
21,706
19,335
19,414
19,343
17,714
1,883
1,919
2,053
6.9
20,488
20,711 21,927
21,602
13,578
8,02-
22,872
14,402
8,470
24,452
15,431
9,022
6.9
7.1
6.5
14,213
16,057
11,902
14,781 15,458
16,682 17,410
12,382 12,971
Bernalillo
Catron
Chaves
Cibola
Colfax
Curry
De Baca
Dona Ana
Eddy
Grant
8,199
29
815
204
178
553
26
1,676
681
334
8,692
31
821
216
179
604
28
1,762
729
353
9,277
31
859
233
192
665
29
1,908
773
362
6.7
1.4
4.5
7.5
7.1
10.1
1.2
8.3
6.0
2.5
17,01
11,459
14,046
8,622
13,757
13,082
11,776
12,279
13,97'
12.058
17.758
12,035
14,012
9,210
14.085
13,678
12.314
12,493
14,639
12,596
Guadalupe
Harding
Hidalgo
40
11
73
42
11
78
44
11
5.4
-3.0
4.6
9.755 10,318 10,870
10,724 11,224 10,762
12,240 13,115 13,649
Warren
New Mexico
Metropolitan portion
Nonmetropolitan portion
18.582
12,230
14,657
9,762
14.78^
14,600
12,658
13,016
15,121
12,639
1992
April 1994
SURVEY OF CURRENT BUSINESS
•
143
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1991
1992
1991-92
Dollars
1990
1991
1992
728
186
473
199
540
35
630
767
199
473
219
578
37
661
807
213
511
236
619
40
709
5.2
7.2
8.0
7.7
7.1
8.3
7.2
Quay
Rio Arriba
Roosevelt
Sandoval
San Juan
San Miguel
Santa Fe
Sierra
Socorro
Taos
139
322
217
855
1,114
255
1,803
122
159
259
144
339
218
925
1,188
270
1,932
130
167
277
152
360
249
1,001
1,273
290
2,067
137
177
291
5.8
6.3
14.2
8.2
7.1
7.3
6.9
5.0
5.5
5.1
111
64
573
118
65
618
127
62
666
7.9
-3.6
7.9
10,772
15,525
12,561
401,833
379,525
22,308
412,663
389,558
23,106
436,354
412,129
24,225
5.7
5.8
4.8
22,322 22,866 24,095
22,969 23,527 24,808
15,090 15,519 16,183
Albany
Allegany
Bronx
Broome
Cattaraugus
Cayuga
Chautauqua
Chemung
Chenango
Clinton
6,383
635
17,714
3,811
1,176
1,228
2,100
1,517
752
1,228
6,565
652
18,381
3,924
1,205
1,245
2,178
1,574
775
1,261
6,900
685
19,569
4,064
1,281
1,299
2,278
1,640
821
1,313
5.1
5.1
6.5
3.6
6.3
4.3
4.6
4.2
6.0
4.1
21,814 22,384 23,559
12,561 12,694 13,328
14,714 15,328 16,381
17,966 18,486 19,127
13,929 14,161 14,950
14,897 15,049 15,712
14,796 15,331 16,083
15,922 16,545 17,231
14,517 14,883 15,728
14,248 14,620 15,263
62
40
21
53
46
44
30
45
51
Columbia
Cortland
Delaware
Dutchess
Erie
Essex
Franklin
Fulton
Genesee
Greene
1,104
698
659
5,619
17,586
578
607
810
1,000
706
1,117
725
674
5,673
18,352
592
635
844
1,178
768
703
5,894
19,250
623
679
894
1,072
759
5.5
5.9
4.3
3.9
4.9
5.3
6.8
6.0
4.7
5.4
17,523 17,788 18,695
14,225 14,750 15,531
13,944 14,215 14,801
21,618 21,739 22,424
18,151 18,901 19,798
15,501 15,763 16,595
13,001 13,387 14,147
14,927 15,565 16,561
16,626 16,932 17,617
15,724 15,868 16,360
23
49
55
11
15
37
57
38
27
41
Hamilton
Herkimer
Jefferson
Kings
Lewis
Livingston
Madison
Monroe
Montgomery
Nassau
82
931
1,595
39,735
352
994
1,118
15,350
819
40,167
87
943
1,679
92
1,001
40,922
370
43,885
383
1,081
1,203
42,018
5.8
6.2
5.2
7.2
3.6
5.1
4.6
4.4
4.5
4.1
15,493
14,141
14,308
17,285
13,087
15,898
16,133
21,467
15,737
31,237
16,191
14,261
14,934
17,874
13,599
16,297
16,347
22,053
16,456
31,195
17,089
15,130
15,535
19,196
13,967
17,059
16,935
22,863
17,165
32,270
33
52
48
20
60
34
35
10
31
3
New York
Niagara
Oneida
Onondaga
Ontario
Orange
Orleans
Oswego
Otsego
Putnam
66,077
3,691
4,071
8,999
1,774
5,683
624
1,843
906
2,013
68,033
3,842
4,176
9,195
1,846
5,870
653
1,895
940
2,038
73,257
3,992
4,369
9,581
1,896
6,240
681
2,076
997
2,131
7.7
3.9
4.6
4.2
2.7
6.3
4.3
9.6
6.1
4.6
44,426 45,811
16,698 17,353
16,215 16,551
19,157 19,467
18,606 19,137
18,405 18,821
14,862 15,355
15,065 15,326
14,940 15,434
23,892 23,785
49,197
18,013
17,326
20,221
19,424
19,762
15,568
16,625
16,345
24,439
1
26
29
1
3
17
1
6
47
36
42
5
Queens
Rensselaer
Richmond
Rockland
St. Lawrence
Saratoga
Schenectady
Schoharie
Schuyler
Seneca
41,862
2,709
8,349
6,691
1,434
3,418
3,043
456
244
537
42,651
45,169
2,951
9,368
21,444
17,518
21,967
25,160
12,787
18,751
20,371
14,268
13,035
15,944
21,864
18,037
22,259
25,241
13,301
19,257
20,746
14,723
13,565
16,381
23,151
18,877
23,954
26,323
14,065
20,068
21,791
15,396
13,931
17,146
9
22
6
4
59
14
12
50
6
1
32
Steuben
Suffolk
Sullivan
Tioga
Tompkins
Ulster
Warren
Washington
Wayne
Westchester
1,623
29,572
1,231
828
1,443
3,021
1,074
824
1,504
28,349
1,716
30,411
Torrance
Union
Valencia
New York
Metropolitan portion
Nonmetropolitan portion
Wyoming
Yates
North Carolina
See footnotes at end of table.
1,024
720
1,028
1,150
15,859
855
40,363
1,766
16,563
894
13,114 13,818 14,244
15,200 15,611 16,234
26,078 26,189 28,087
10,978 11,604 11,976
9,500
9,178
8,807
8,825 9,455
8,275
12,155 12,691 13,662
12
4
1
24
32
33
16
12,903 13,625
9,842
9,322
12,950 12,666
13,348 13,983
12,176 12,694
9,882 10,368
18,120 18,972
12,184 12,982
10,780 11,387
11,161 11,699
14,537
10,332
14,237
14,560
13,381
10,959
19,650
13,911
11,783
12,030
11
30
13
10
18
27
2
14
26
23
11,119
15,704
13,208
11,898
15,394
13,793
25
5
15
1,502
1,601
3,562
3,781
3,271
500
263
575
5.9
5.1
9.2
5.3
6.6
6.1
5.1
5.8
3.1
3.9
1,096
842
1,572
29,231
1,743
31,808
1,321
882
1,548
3,275
1,164
698
1,649
30,725
1.6
4.6
5.2
2.3
3.9
3.9
6.2
6.7
4.9
5.1
16,350 17,205
22,360
17,724 17,956
15,781 16,305
15,314 15,692
18,231 18,794
18,057 18,278
13,852 14,010
16,827 17,387
32,396 33,337
17,411
23,769
18,688
16,531
16,232
19,354
19,251
14,859
18,062
34,843
28
7
24
39
43
18
1
9
54
25
2
573
316
575
331
615
343
7.0
3.7
13,452 13,286 14,143
13,809 14,322 14,763
58
108,339
113,392
122,117
7.7
16,284 16,802 17,863
2,809
8,575
6,774
3,113
473
255
554
1,256
863
1,490
3,153
7,130
Percent
change 2
Millions of dollars
Area name
1992
Rank in
State
Dollars
1990
1991
76,585
31,753
79,968
33,424
86,372
35,745
8.0
6.9
17,426
14,060
17,886
14,675
19,045
15,534
Alamance
Alexander
Alleghany
Anson ....
Ashe
Avery .....
Beaufort .
Bertie
Bladen ...
Brunswick
1,790
408
127
318
298
204
597
253
348
681
1,865
421
132
331
318
218
631
269
370
747
1,977
454
142
345
335
231
663
274
397
791
6.0
7.9
7.5
4.5
5.3
5.8
5.0
1.9
7.5
5.9
16,496
14,766
13,223
13,552
13,438
13,664
14,097
12,393
12,135
13,277
16,989
15,048
13,684
14,094
14,234
14,601
14,763
13,170
12,826
14,201
17,801
16,099
14,722
14,665
14,943
15,486
15,417
13,478
13,663
14,526
18
39
64
66
61
52
54
90
89
Buncombe
Burke
Cabarrus
Caldwell .
Camden .
Carteret...
Caswell ...
Catawba .
Chatham .
Cherokee
2,985
1,108
1,680
1,026
77
752
252
2,121
685
233
3,126
1,135
1,739
1,055
82
795
266
2,168
715
239
3,372
1,218
1,855
1,145
88
846
283
2,340
770
254
7.9
7.2
6.7
8.5
7.7
6.4
6.4
7.9
7.7
6.3
17,009
14,600
16,888
14,488
12,904
14,238
12,181
17,844
17,583
11,551
17,584
14,859
17,142
14,807
13,611
14,805
12,810
18,017
18,051
11,785
18,714
15,734
17,916
15,951
14,350
15,405
13,669
19,203
19,136
12,465
12
49
17
43
73
55
88
10
11
Chowan ..
Clay
Cleveland
Columbus
Craven
Cumberland
Currituck
D3C6
Davidson
Davie
190
86
1,256
625
1,164
3,559
200
366
1,987
524
204
89
1,288
673
1,231
3,811
208
382
2,039
532
207
95
1,376
728
1,348
4,451
219
405
2,189
571
6.5
6.9
8.3
9.5
16.8
5.4
6.0
7.4
7.3
14,040
11,988
14,782
12,605
14,217
12,928
14,508
15,939
15,634
18,702
14,994
12,267
15,014
13,513
14,914
13,725
14,545
16,462
15,863
18,807
15,063
13,011
15,835
14,507
16,059
16,050
14,834
17,065
16,861
20,069
58
93
45
70
40
41
63
24
29
Duplin
Durham
Edgecombe
Forsyth
Franklin
Gaston
Gates
Graham
Granville
Greene
551
3,431
739
5,565
479
2,742
124
71
493
230
594
3,597
795
5,746
499
2,820
135
75
516
250
653
3,935
844
6,113
540
3,020
139
83
568
251
9.9
9.4
6.2
6.4
8.3
7.1
2.6
10.6
10.1
13,783
18,775
13,095
20,882
13,086
15,633
13,349
9,934
12,842
14,897
14,848
19,352
14,121
21,402
13,348
15,903
14,446
10,266
13,383
15,939
16,103
20,920
15,012
22,559
14,245
16,901
14,673
11,256
14,501
15,939
60
3
79
27
65
100
71
44
Guilford
Halifax
Harriett
Haywood
Henderson
Hertford
Hoke
Hyde
Iredell
Jackson
6,949
704
851
681
1,204
260
247
74
1,497
338
7,228
752
904
718
1,255
276
267
85
1,556
358
7,722
801
988
758
1,333
291
291
87
1,678
383
6.8
6.5
9.4
5.5
6.3
5.3
9.1
2.4
7.8
7.2
19,940
12,662
12,527
14,504
17,274
11,532
10,755
13,738
16,030
12,556
20,456
13,471
13,184
15,155
17,756
12,254
11,512
15,870
16,304
13,149
21,585
14,257
14,235
15,792
18,577
12,906
12,436
16,260
17,324
13,924
5
78
80
48
13
94
97
35
21
84
Johnston
Jones
Lee
Lenoir
Lincoln
McDowell
Macon
Madison
Martin
Mecklenburg
1,242
143
683
837
784
454
328
215
339
11,215
1,307
151
718
903
808
475
345
225
364
11,696
1,422
171
793
981
868
509
366
238
395
12,558
8.8
13.2
10.4
8.6
7.4
7.1
6.1
5.8
8.4
7.4
15,189
15,190
16,422
14,585
15,464
12,710
13,916
12,627
13,529
21,776
15,593
16,078
17,049
15,666
15,692
13,197
14,450
13,084
14,436
22,133
16,517
18,144
18,387
16,902
16,519
14,074
15,100
13,779
15,647
23,354
32
15
14
26
31
82
57
87
51
1
Mitchell
Montgomery
Moore
Nash
New Hanover
Northampton
Onslow
Orange
Pamlico
Pasquotank
178
304
1,129
1,279
2,007
255
1,529
1,832
156
434
191
316
1,187
1,329
2,149
277
1,601
1,934
165
448
201
335
1,258
1,380
2,307
286
1,847
2,080
171
471
5.4
5.8
6.0
3.8
7.3
3.2
15.4
7.6
3.3
5.2
12,305
12,987
19,027
16,565
16,588
12,255
10,201
19,430
13,176
13,652
16,887
17,262
13,338
10,638
20,101
14,391
13,817 14,135
13,823
14,350
20,534
17,134
18,050
13,800
12,782
20,856
14,625
14,587
85
74
8
22
16
86
95
7
67
Pender
Perquimans
Person
Pitt
Polk
Randolph
Richmond
Robeson
Rockingham
Rowan
382
129
445
1,671
293
1,624
578
1,185
1,283
1,676
406
141
458
1,759
306
1,659
593
1,286
1,346
1,715
444
148
496
1,890
322
1,812
628
1,418
1,405
1,831
9.4
5.2
8.2
7.4
5.2
9.2
5.9
10.2
4.4
6.8
13,121
12,342
14,699
15,417
20,209
15,173
12,967
11,244
14,879
15,109
13,497
13,444
14,921
15,854
21,102
15,240
13,176
12,088
15,510
15,284
14,313
14,118
16,028
16,809
21,653
16,413
13,936
13,148
16,160
16,138
76
81
42
30
4
773
709
424
777
810
764
454
799
872
842
494
837
7.7
10.1
8.8
4.6
13,526
14,979
12,527
14,982
14,069
15,996
13,305
15,224
15,050
17,349
14,435
15,820
59
20
72
46
1990
1992
Lea
Lincoln
Los Alamos
Luna
McKinley
Mora
Otero
Per capita personal income3
Total personal income
Rank in
State
Metropolitan portion
Nonmetropolitan portion
Rutherford
Sampson
Scotland
Stanly
1991
1991-92
19921992
33
83
92
36
37
SURVEY OF CURRENT BUSINESS
144 • April 1994
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1991
1990
Stokes
Surry
Swain
Transylvania
Tyrrell
Union
1991-92
1992
Rank in
State
Dollars
1990
1991 1992
6.9 14,729 15,001 15,714
7.2 15,453 15,971 16,989
11,509
6.1 10,188
5.3 15,630 16,239 16,892
.3 13,802 15,486 15,343
6.6 16,517 16,489 17,115
567
998
125
418
58
1,431
606
1,070
132
440
59
1,526
538
9,057
180
193
491
1,379
890
1,057
467
190
555
9,621
189
208
501
1,446
913
1,103
475
195
595
10,425
201
218
542
1,543
948
1,170
514
207
7.1
8.4
6.3
5.0
8.1
6.7
3.9
6.1
8.2
5.8
9,765
4,149
5,616
9,891
4,318
5,573
10,809
4,638
6,171
9.3
7.4
10.7
15,320 15,617 17,048
16,101 16,645 17,604
14,791 14,904 16,654
44
193
93
15
132
57
50
1,018
1,791
94
44
180
84
17
11
58
44
1,058
1,869
90
50
199
92
17
137
62
52
1,150
2,003
113
13.6
10.8
8.7
3.0
19.3
6.9
16.2
8.7
7.1
25.4
14,011
15,436
13,005
13,959
16,617
15,902
16,956
16,894
17,355
15,616
14,126
14,530
12,064
14,947
14,871
16,680
15,830
17,297
17,863
15,385
16,497
16,300
13,323
14,960
18,035
18,284
19,167
18,404
18,797
19,778
34
38
49
44
18
15
6
14
11
3
92
42
43
45
57
66
30
1,020
34
54
92
42
44
42
58
63
28
1,059
35
50
103
47
50
45
71
72
32
1,123
42
54
11.2
13.6
13.7
7.4
23.2
13.0
12.9
6.0
20.0
8.7
15,236
14,740
10,693
15,493
11,853
16,602
14,195
14,463
9,534
16,555
15,525
15,018
11,161
14,478
12,262
16,401
14,306
15,113
10,266
15,648
17,519
17,718
12,830
15,940
15,307
18,814
16,712
15,844
12,669
17,300
23
21
50
39
43
10
28
40
51
24
Hettinger
Kidder
La Moure
Logan
McHenry
Mclntosh
McKenzie
McLean
Mercer
Morton
45
45
76
42
89
56
8
157
164
319
42
40
70
38
81
58
88
148
331
53
45
87
44
88
67
99
170
181
363
26.2
11.7
24.7
16.0
8.3
13.8
13.5
15.1
8.1
9.5
13,155
13,443
14,241
14,756
13,625
14,068
13,748
15,125
16,793
13,487
12,789
12,393
13,293
13,813
12,820
15,310
14,196
14,564
17,348
14,098
16,732
14,188
16,681
16,419
14,184
17,592
16,459
17,097
19,200
15,379
27
46
29
36
47
22
35
25
5
42
Mountrail
Nelson
Oliver
Pembina
Pierce
Ramsey
Ransom
Renville
Richland
Rolette
100
77
30
167
89
199
88
5'
256
129
9"
65
30
168
83
200
92
42
271
137
11
80
37
193
89
223
96
54
279
156
16.9
21.9
22.2
15.1
7.8
11.6
4.4
27.8
2.6
14.1
14,390
17,507
12,516
18,195
17,637
15,752
14,910
16,250
14,153
10,062
14,208
15,378
13,209
18,727
16,878
15,9315,732
13,899
15,192
10,641
16,737
19,030
16,605
21,68
18,742
17,883
16,567
18,23'
15,619
11,970
Sargent
Sheridan
Sioux
Slope
Stark
Steele
Stutsman
Towner
Traill
Walsh
78
28
28
1
306
43
35"
5"
138
216
84
24
30
12
317
39
34'
53
142
224
89
28
33
16
339
45
363
64
153
248
5.9
13.0
12.2
39.2
7.1
16.4
6.5
21.8
7.1
10.8
17,258
12,979
7,440
12,733
13,429
17,957
15,846
14,285
15,795
15,650
18,881
11,669
7,813
12,846
13,880
16,57f
15,508
15,258
16,434
16,787
20,410
13,469
8,606
18,116
14,88'
19,504
16,619
19,113
17,83'
18,811
Ward
Wells
Williams
98
316
889
91
322
95S
10c
34
7.5
13.3
6.0
14,956 15.536 16,61
16,877 16,130 18,516
15,04f 15,39' 16,39,r
190,608
161,182
29,427
197,425
167,120
30,305
209,851
177,326
32,526
6.3
6.1
7.3
17,547 18,04' 19,040
18,236 18,775 19,778
14,540 14,865 15,823
Adams
Allen
Ashland
Ashtabula
Athens
Auglaize
Belmont
Brown
Butler
Carroll
271
1,730
684
1,41
665
745
996
467
4,962
352
28c
1,786
70c
1,448
705
762
1,049
49'
5,174
356
31
1,91
755
1,540
738
82C
1,09c
53c
5.555
38S
9.8
6.9
7.5
6.4
4.6
7.6
4.2
8.4
7.4
9.1
10,65'
15,751
14.386
14,137
11,17(
16,678
14,055
13,279
16,937
13,25$
Champaign
Clark
57'
2,32-
583
2,425
637
2,596
9.1
15,806 16,01 17,371
15,744 16,399 17,56£
Vance
Wake
Warren
Washington
Watauga
Wayne
Wilkes
Wilson
Yadkin
Yancey
North Dakota
Metropolitan portion
Nonmetropolitan portion
Adams
Barnes
Benson
Billings
Bottineau
Bowman
Burke
Burleigh
Cass
Cavalier
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley
Grand Forks
Grant
Griggs
'.
Z.
,
Ohio
Metropolitan portion
Nonmetropolitan portion
See footnotes at end of table.
13,784
21,215
10,425
13,767
13,259
13,146
14,971
15,983
15,302
12,313
14,106
21,799
10,915
14,739
13,424
13,571
15,296
16,599
15,333
12,504
10,922
16,293
14,605
14,421
11,662
16,801
14,852
13,785
17,291
13,21
14,943
22,805
11,522
15,419
14,258
14,325
15,805
17,536
16,368
13,184
11,782
17,358
15,531
15.25S
12,285
17.83C
15,46c
14.63C
18,21
14,284
50
25
99
28
56
23
62
2
98
53
77
75
47
1
9
34
9
1
Percent
change 2
Millions of dollars
Area name
1992
550
956
115
399
53
1,399
.""
Per capita personal income 3
Total personal income
991-92
1990
1991 1992
Clermont
Clinton
Columbiana
Coshocton
Crawford
Cuyahoga
Darke
Defiance
2,384
536
1,520
485
695
29,945
827
649
2,492
564
1,567
499
702
31,105
849
2,692
614
1,651
530
742
32.639
892
703
8.0
8.9
5.4
6.2
5.7
4.9
5.1
5.6
15,780
15,057
14,014
13,679
14,523
21,210
15,410
16,467
16,116
15,640
14,327
14,011
14,705
22,040
15,816
16,822
17,023
16,748
14,948
14,829
15,562
23,128
16,618
17,755
Delaware
Erie
Fairfield
Fayette
Franklin
Fulton
Gallia
Geauga
Greene
Guernsey
1,408
1,327
1,725
366
18,306
637
392
1,739
2,370
488
1,473
1,397
1,814
377
19,204
660
413
1,765
2,491
518
1.590
1.496
1.947
415
20,631
716
449
1,861
2,624
549
7.9
7.1
7.4
9.9
7.4
8.4
8.8
5.4
5.3
6.1
17,268
16,591
13,290
18,975
16,508
12,648
21,370
17,279
12,509
21,144
18,127
17,070
13,578
19,629
16,938
13,209
21,462
17,971
13,206
22,263
19,297
17.810
14,877
20,795
18.020
13,897
22,355
18,728
13,957
Hamilton
Hancock
Hardin
Harrison
Henry
Highland
Hocking
Holmes
Huron
Jackson
18,295
1,173
400
193
470
440
327
368
903
361
18,807
1,213
396
199
488
463
341
383
921
384
19,930
1,305
435
215
525
509
365
417
974
406
6.0
7.6
10.0
8.1
7.7
9.7
6.9
8.9
5.7
5.8
21,113
17,905
12,844
12,048
16,146
12,282
12,774
11,174
16,010
11,930
21,622
18,361
12,688
12,452
16,695
12.703
13,140
11,487
16.095
12,446
22,855
19,558
13.956
13,502
17,842
13.671
13,693
12,348
16,887
12,942
Jefferson
Knox
Lake
Lawrence
Licking
Logan
Lorain
Lucas
Madison
Mahoning
1,194
671
4,159
764
2,056
659
4,369
8,225
518
4,246
1,227
707
4,250
804
2,162
697
4,494
8,396
539
4,433
1,295
757
4,508
864
2,326
75;
4,824
8,940
593
4,627
5.5
7.1
6.1
7.4
7.6
8.5
7.3
6.5
9.9
4.4
14,901
14,086
19,262
12,327
15,955
15,532
16,080
17,785
13,951
16,029
15,343
14,784
19,485
12,879
16,539
16,178
16.400
18,172
14,232
16.736
16,259
15,623
20,450
13,688
17.627
17,322
17,436
19,371
15,211
17,419
939
2,23;
266
649
1,590
196
10,61
199
349
1,181
959
2,300
274
650
1,643
203
11,160
197
359
1,209
1,036
2,452
293
688
1,754
217
11,690
206
385
1,305
8.0
6.6
6.9
5.9
6.8
7.2
4.7
4.8
7.2
7.9
14,595
18,205
11,539
16,400
17,040
12,649
18,492
14,013
12,544
14,373
14,935
18,321
11,823
16,365
17,464
13,17^
19,354
13,903
12.760
14,671
16,043
19,080
12,506
17,22'
18,488
14,227
20,202
14,42^
13.473
15.795
Noble
Ottawa
Paulding
Perry
Pickaway
Pike
Portage
Preble
Putnam
Richland
130
721
287
374
65
282
2,170
60
540
1,995
137
731
290
378
679
304
2,239
596
535
2,009
144
763
314
403
759
333
2,384
637
57'
2,085
5.2
4.4
8.4
6.7
11.8
9.5
6.5
6.9
7.8
3.8
11,512
18,010
14,012
11,81
13,480
11,560
15,195
14,965
15,952
15.813
11,853
18,24^
14,255
11,889
13,878
12,298
15,51"
14,71:
15,65;
15.798
12,410
19,027
15,604
12,490
15,082
13,160
16,304
15,572
16,737
16,313
Ross
Sandusky
Scioto
Seneca
Shelby
Stark
Summit
Trumbull
Tuscarawas
Union
92"
994
992
922
745
6,178
9,488
3,888
1,22'
564
963
1,016
1,035
945
769
6,355
9,786
4,039
1,240
57'
1,045
1,08'
1,115
1,009
818
6,742
10,373
4,253
1,346
624
8.4
6.4
7.8
6.7
6.3
6.1
6.0
5.3
8.5
8.2
13,263
16,04
12,336
15,41
16,542
16,790
18,395
17,069
14,509
17,606
13,643
16,252
12,898
15,81
16,87!
17,185
18,826
17,648
14,609
17,636
14,61
17,206
13,750
16,830
17,832
18,11
19,825
18,507
15,734
18,534
Van Wert
Vinton
Warren
Washington
Wayne
Williams
Wood
Wyandot
47
125
1,993
89c
1,598
60C
1,941
336
473
13
2,106
935
1,640
61
1,986
335
50$
14C
2,268
994
1,76
66.
2,137
358
7.5
6.2
7.7
6.3
7.4
9.1
7.5
7.2
15,488
11,283
17,408
14,344
15.703
16,186
17,11
15,107
15,61
11,696
17,981
15,01
15,966
16,45$
17,51
14,984
16.83$
12,202
18,926
15,834
16,948
17,843
18,734
16,089
47,580
30,821
16,759
49,531
32,198
17,333
52,630
34,173
18,457
6.3
6.1
6.5
15,11 15,636 16,420
16,458 17,004 17,736
13,147 13,603 14,437
207
108
11
9;
23
15
37
38
226
92
126
91
241
153
389
373
253
102
136
102
255
162
412
403
12.1
10.2
7.7
11.8
6.0
5.9
5.8
7.9
1990
Marion
Medina
Meigs
Mercer
Miami
Monroe
Montgomery
Morgan
Morrow
Muskingum
Oklahoma
Metropolitan portion
Nonmetropolitan portion
Adair
Alfalfa
Atoka
Beaver
Beckham
Blaine
Bryan
Caddo
1992
Rank in
State
Dollars
1991
11,24!
16,96<
9,241
16,199
12,272
13,225
11,558
12,946
11,967
14,694
9,831
15,371
12.901
13,507
12,104
12,810
13,204
16,51
10,378
17,582
13,834
14,691
12,66<
13,7*
1992
April 1994
SURVEY OF CURRENT BUSINESS
•
145
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Millions of dollars
Dollars
1991 1992
1,272
7.0
6.6
15,112
14,343
15,647
15,108
16,452
15,986
15
18
440
179
69
468
188
71
2,700
499
202
72
96
182
848
374
2,880
63
1,724
104
196
909
391
6.5
7.3
.9
6.7
6.2
12.0
8.4
7.7
7.2
4.6
12,898
11,676
20,960
14,764
9,731
13,183
15,400
12,223
13,138
13,687
13,417
12,320
22,325
15,175
10,414
13,832
14,911
12,989
13,759
14,180
14,035
13,138
22,801
15,878
10,966
14,310
16,069
13,916
14,606
14,867
43
62
1
1
9
75
38
1
7
45
32
27
,
2,579
56
1,468
102
172
799
367
,
59
1,540
Delaware
Dewey
Ellis
Garfield
Garvin
Grady
Grant
Greer
Harmon
Harper
362
85
70
908
353
518
105
85
54
78
383
79
73
933
371
536
95
79
45
70
414
84
73
981
383
575
102
86
54
80
8.1
5.7
-.3
5.2
3.1
7.4
7.3
8.3
19.9
13.7
12,880
15,279
15,604
16,021
13,283
12,425
18,397
12,969
14,293
19,200
13,438
14,534
16,691
16,580
14,029
12,830
17,217
12,451
12,154
17,775
14,112
15,613
16,982
17,398
14,514
13,732
18,837
13,630
14,988
20,755
4
1
20
12
1
1
34
50
6
53
26
3
Haskell
Hughes
Jackson
Jefferson
Johnston
Kay
Kingfisher
Kiowa
Latimer
Le Flore
120
145
380
85
93
805
194
161
112
495
124
149
366
93
99
834
201
151
120
507
131
159
392
98
109
894
213
163
128
550
6.0
6.9
7.0
5.8
9.5
7.2
6.2
8.1
6.1
10,988
11,194
13,269
12,122
9,255
16,771
14,734
14,192
10,810
11,400
11,381
11,594
12,889
13,371
10,001
17,365
15,417
13,540
11,411
11,648
11,972
12,528
13,677
14,174
10,759
18,453
16,464
14,837
12,219
12,638
72
69
52
40
76
8
14
29
7
1
68
356
401
103
310
364
193
112
131
428
136
377
420
110
332
386
200
110
138
442
145
402
445
117
355
429
214
120
149
463
155
6.1
6.0
6.9
11.1
7.1
8.7
8.3
4.7
12,201
13,825
12,678
13,583
10,888
11,480
14,065
12,104
12,787
11,344
12,828 13,709
14,413 15,120
13,377 13,971
14,393 15,141
11,596 12,761
11,787 12,449
14,070 15,50!
12,599 13,432
13,043 13,492
12,085 12,829
51
25
44
24
66
70
21
58
55
,
Lincoln
Logan
Love
McClain
McCurtain
Mclntosh
Major
Marshall
Mayes
Murray
Muskogee
Noble
Nowata
Okfuskee
Oklahoma
Okmulgee
Osage
Ottawa
Pawnee
Payne
Pittsburg
Pontotoc
Pottawatomie
Pushmataha
Roger Mills
Rogers
Seminole
Sequoyah
Stephens
Texas
868
157
121
115
10,524
427
501
401
203
810
159
126
122
10,891
455
532
420
207
858
947
168
132
133
11,552
489
550
444
216
913
5.8
5.4
5.2
8.9
6.1
7.6
3.3
5.8
4.3
6.4
12,722
14,240
12,163
9,953
17,541
11,719
12,057
13,117
13,060
13,176
13,089
14,382
12,745
10,852
17,995
12,456
12,761
13,747
13,348
14,049
13,787
15,177
13,456
11,882
18,854
13,314
13,050
14,570
13,865
14,776
48
23
56
73
5
59
63
33
46
30
497
435
758
103
56
812
292
384
570
260
529
454
801
111
57
879
307
411
609
292
567
475
851
121
61
936
327
446
637
303
7.1
4.6
6.3
9.0
6.1
6.5
6.4
8.7
4.6
3.8
12,232
12,758
12,888
9,424
13,605
14,671
11,521
11.353
13,515
15,806
12,855
13,381
13,595
10,110
14,099
15,529
12,352
12,031
14,265
17,977
13,545
14,091
14,369
10,996
15,360
16,164
13,251
12,854
14,841
18,763
54
42
36
74
22
16
60
64
138
9,606
641
963
161
144
255
124
10,050
673
993
153
141
257
144
10,566
706
1,021
154
156
271
16.0
5.1
4.9
2.8
.6
10.9
5.3
13,371
19,020
13,342
19,945
14,037
15,861
13,446
12,164 14,389
19,590 20,326
13,815 14,259
20,404 21,107
13,375 13,449
15,750 17,571
13,654 14,312
49,161
36,171
12,991
51,701
38,153
13,548
55,286
40,831
14,455
6.9
7.0
6.7
17,201
18,119
15,075
17,714 18,605
18,687 19,619
15,448 16,236
Baker
Benton
Clackamas
Clatsop
Columbia
Coos
Crook
Curry
Deschutes
Douglas
218
1,153
5,541
559
228
1,192
5,842
567
636
930
1,339
1,382
1,430
1,421
239
1,271
6,255
607
668
986
244
338
1,542
1,502
4.9
6.6
7.1
7.2
5.0
6.1
10.3
5.5
7.8
5.7
14,114
16,235
19,732
16,743
15,614
14,812
14,413
15,515
17,609
14,532
14,664 15,210
16,624 17,705
20,203 21,068
16,801 17,816
16,427 17,009
15,262 15,934
15,028 16,129
16,230 16,873
17,775 18,305
14,818 15,562
3
6
13
23
21
15
5
29
Gilliam
Grant
Harney
Hood River
Jackson
Jefferson
28
116
106
262
2,345
187
26
122
106
279
2,472
195
30
129
111
290
2,655
221
13.8
6.4
4.5
4.0
7.4
13.3
16,329
14,760
14,988
15,475
15,920
13,548
15,241 17,066
15,243 16,474
15,158 15,939
16,511 16,814
16,410 17,230
13,775 15,190
11
19
22
16
9
32
Tillman
Tulsa
Wagoner
Washington
Washita
Woods
Woodward
Oregon
Metropolitan portion
Nonmetropolitan portion
See footnotes at end of table.
591
895
205
302
221
320
35
4
39
2
57
10
37
1991
108
4,692
597
1,344
359
3,586
..,
927
840
106
4,519
Josephine
Klamath
Lake
Lane
635
1,414
376
3,805
114
12,232
774
36
812
Lincoln
Linn
Malheur
Marion
Morrow
Multnomah
Polk
Sherman
Tillamook
Umatilla
124
11,532
734
39
300
841
Union
Wallowa
Wasco
Washington
Wheeler
Yamhill
344
114
345
6,302
21
1,020
360
123
359
6,625
22
1,077
224,628
197,469
27,159
233,676
205,496
28,180
Adams
Allegheny
Armstrong
Beaver
Bedford
Berks
Blair
Bradford
Bucks
Butler
1,314
28,270
1,096
2,854
600
6,516
1,925
1,369
621
6,673
2,005
892
12,210
2,575
902
12,489
2,682
Cambria
Cameron
Carbon
Centre
Chester
Clarion
Clearfield
Clinton
Columbia
Crawford
2,410
92
2,522
94
905
2,001
10,314
Pennsylvania
Metropolitan portion
Nonmetropolitan portion
876
1,893
9,803
572
1,125
497
924
1,253
597
1,156
514
966
1,290
4,130
4,958
12,774
597
537
1,284
681
564
1,317
703
305
3,896
8,178
1,473
1,995
6,056
5.732
295
3,744
8,035
1,424
1,926
5,802
5,536
Lycoming
McKean
Mercer
Mifflin
Monroe
Montgomery
Montour
Northampton
Northumberland
Perry
1,876
673
1,827
629
1,689
20,025
345
4,558
1.456
604
Philadelphia
Pike
Potter
Schuylkill
Snyder
Somerset
Sullivan
27,563
491
229
2,378
607
1,150
89
596
542
580
Susquehanna
Tioga
Union
Venango
Warren
Washington
1,118
2,971
3,951
4,709
Huntingdon
Indiana
Jefferson
Juniata
Lackawanna
Lancaster
Lawrence
Lebanon
Lehigh
Luzerne
,
978
756
3,497
1992
985
923
117
5,003
678
1,499
396
4,061
120
13,054
828
38
337
1991-92
6.3
9.8
10.5
6.6
Rank in
State
Dollars
1990
1991 1992
14,162
14,020
15,067
15,908
14,378
14,396
14,846
16,313
15,070
15,690
16,152
17,202
939
314
12,343
571
4,478
1,981
57
1,999
182
506
Cumberland
Dauphin
Delaware
Elk
Erie
Fayette
Forest
Franklin
Fulton
Greene
Percent
change 2
Millions of dollars
Area name
1990
1990
1,189
645
1991
Per capita personal income3
Total persona! income
Rank in
State
1,128
615
1990
Canadian
Carter
Cherokee
Choctaw
Cimarron
Cleveland
Coal
Comanche
Cotton
Craig
Creelc
Custer
,
Percent
change 2
4,682
2,066
59
2,100
181
526
1,933
712
1,911
643
1,695
20,814
374
4,708
1,509
635
6.8
6.0
5.4
6.7
5.1
6.7
7.0
6.7
7.1
6.0
15,283 15,880 16,559
14,662 15,150 15.853
13,741 14,144 14.625
15,616 16,232 16,969
16,244 14,253 14,731
19,677 20,558 21,727
14,722 15,083 15,748
20,204 18,529 19,633
13,859 14,272 15,101
14,174 14,745 15,361
382
129
379
7,150
23
1,157
6.2
5.1
5.5
7.9
4.5
7.4
14,513 14,994 15,839
16.362 17,203 17,782
15,865 16,255 17,041
20,020 20,239 21,145
14,763 15,112 15,780
15,472 15,945 16,701
247,611
217,697
29,914
6.0
5.9
6.2
18,884 19,557 20,642
19,564 20,276 21,405
15,073 15,537 16,391
1,444
5.5
6.4
5.8
7.0
9.9
6.6
7.3
6.6
5.6
7.4
16,685
21,163
14,913
15,318
12,491
19,310
14,741
14,608
22,483
16,870
17,085
22,368
15,125
15,852
12,863
19,581
15,292
14,709
22,709
17,333
1,230
561
1,028
1,370
4.9
7.7
7.0
6.2
6.5
6.2
6.4
9.0
6.4
6.2
14,793
15,679
15,363
15,254
25,947
13,714
14,405
13,356
14.596
14.536
15,526 16,319
16,030 17,223
15,713 16,691
15,954 16,780
26,945 28.297
14,357 15,137
14,798 15,691
13,821 14,998
15,229 16,202
14,906 15,792
4,356
5,239
13,470
642
4,983
2,208
63
2,209
193
564
5.5
5.7
5.5
7.6
6.4
6.8
6.9
5.2
6.6
7.2
20,171
19,751
22,527
16,387
16,235
13,626
11,862
16,458
13,124
12,806
20,783 21,662
20,633 21,645
23,276 24,513
17,062 18,274
16,856 17,819
14,161 15,092
12,299 13,021
17,064 17,771
12,875 13.564
13,270 14,204
606
1,388
753
324
7.5
5.4
7.0
6.4
6.1
6.3
5.9
6.4
6.8
6.7
12,145
14,275
14,772
14,240
17,098
18,918
14,790
16,887
19,895
16,851
12,712
14.531
15,221
14,617
17,835
19,002
15.314
17,326
20.593
17,421
13,615
15,275
16,296
15,385
19,003
20,018
16,165
18,321
21,842
18,589
6.6
6.0
6.2
6.0
5.8
5.2
9.5
6.7
5.0
6.6
15,794
14,229
15,087
13,603
17,443
29,470
19,403
18,397
15.046
14,614
16,158
15,049
15.729
13,839
16,802
30,381
20,906
18,815
15,620
15,104
17,107
15,949
16,618
14.616
17.110
31,747
22,742
19,911
16,488
15,953
17,428
17,168
13,687
15,578
16,486
14,699
14.549
14,713
13,147
16,021
18,228
16,459
14,447
16,070
17,818
15,133
14,984
15,092
14,101
16,999
19,316
16,560
15.742
17,013
18,701
16,232
16.018
16,065
14,833
17,766
16,488
16,795
17,085
17,598
17,687
17,835
18,527
18,556
18,846
31,774
1,182
3,180
683
7,111
2,151
962
13,183
2,881
2,645
101
969
2,124
10.980
634
4.133
8,696
1,560
2,122
6,466
6,115
2,061
755
2,029
681
1,793
21,906
410
5,025
1,584
676
28,570
506
244
2,453
660
1,190
91
618
580
618
29,990
539
265
2,600
659
617
653
5.0
6.4
9.0
6.0
5.9
7.4
7.2
6.6
6.4
5.6
1,048
797
3,657
1,103
838
3,883
5.2
5.2
6.2
698
1,278
98
17,777
23,812
15,998
16,854
14,042
20,723
16,384
15,584
23,699
18,379
1992
146 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1992
1991
1991-92
Dollars
1990
1991
1992
15,856
17,835
15,727
19,225
16,475
18,783
16,541
19,970
636
6,260
429
6,427
651
6,630
445
6,643
691
7,030
477
6.1
6.0
7.2
5.2
15,831
16,896
15,261
18,863
19,121
17,372
1,749
19,411
17,656
1,755
20,304
18,488
1,815
4.6
4.7
3.4
1,097
3,180
1,749
10,918
2,177
1,086
3,217
1,755
11,137
2,216
1,134
3,392
1,815
11,636
2,326
4.4
5.4
3.4
4.5
5.0
22,453
19,707
20,009
18,303
19,721
52,855
38,636
14,218
55,130
40,304
14,827
58,410
42,606
15,803
5.9 15,101 15,484 16,212
5.7 15,878 16,240 16,947
6.6 13,330 13,745 14,515
Abbeville
Aiken
Allendale
Anderson
Bamberg
Barnwell
Beaufort
Berkeley
Calhoun
Charleston
287
2,091
112
2,170
178
273
1,641
1,659
169
4,958
296
2,207
120
2,227
185
285
1,698
1,733
176
5,210
321
2,391
128
2,382
203
312
1,800
1,803
184
5,466
Cherokee
Chester
Chesterfield
Clarendon
Colleton
Darlington
Dillon
Dorchester
Edgefield
Fairfield
579
385
484
301
419
840
317
1,227
234
270
589
396
502
318
436
893
334
1,282
248
276
632
428
557
336
465
957
356
1,314
264
297
7.3
8.2
11.0
5.7
6.8
7.1
6.5
2.5
6.4
7.8
Florence
Georgetown
Greenville
Greenwood
Hampton
Horry
Jasper ..,
Kershaw
Lancaster
Laurens .
1,696
673
5,625
884
219
2,200
179
660
753
826
1,795
702
5,831
912
223
2,316
185
685
771
877
1,920
746
6,084
971
237
2,443
201
713
819
941
Lexington
McCormick
Marion ...
Marlboro
Newberry
Oconee
Orangeburg
Pickens
Richland
187
2,950
88
385
305
436
901
1,076
1,314
4,948
202
3,091
92
412
343
456
919
1,111
1,357
5,132
Saluda
Spartanburg
Sumter
Union
Williamsburg
York
217
3,514
1,243
361
391
2,229
Rhode Island
Metropolitan portion
Nonmetropolitan portion
Bristol
Kent
Newport
Providence
Washington
South Carolina
Metropolitan portion
Nonmetropolitan portion
22,228
19,871
20,037
18,753
19,882
40
17
38
12
23,220
20,876
20,931
19,702
20,641
8.3 11,984 12,339
8.3 17,160 17,522
6.2 9,522 10,193
6.9 14,906 15,210
9.4 10,575 10,933
9.6 13,382 13,765
6.0 18,848 19,030
4.1 12,806 12,992
4.5 13,217 13,708
4.9 16,759 17,149
13,338
18,595
10,890
16,063
11,939
14,796
19,596
13,240
14,184
17,947
29
2
46
11
41
20
1
32
25
6
12,978
11,942
12,536
10,564
12,133
13,538
10,881
14,648
12,702
12,111
13,052
12,162
12,849
11,038
12,391
14,236
11,430
14,805
13,385
12,269
13,861
13,117
14,290
11,602
13,075
15,034
12,086
14,966
14,156
13,270
27
34
24
43
35
17
39
18
26
31
7.0
6.3
4.3
6.4
6.6
5.5
8.7
4.1
6.2
7.3
14,786
14,427
17,492
14,836
12,036
15,182
11,563
15,143
13,775
14,181
15,352
14,681
17,980
15,168
12,160
15,524
11,810
15,503
13,969
14,947
16,192
15,260
18,574
16,029
12,855
16,040
12,772
15,870
14,817
15,906
9
16
3
13
36
12
37
15
19
14
211
3,261
100
440
353
483
954
1,196
1,423
5,455
4.6
5.5
8.2
6.9
3.1
5.9
3.8
7.7
4.9
6.3
10,124
17,463
9,964
11,362
10,373
13,127
15,603
12,657
13,913
17,266
10,884
17,830
10,367
11,985
11,577
13,641
15,757
12,908
14,009
17,621
11,286
18,338
11,082
12,727
11,924
14,447
16,182
13,773
14,425
18.553
44
5
45
38
42
22
10
28
23
4
231
3,668
1,309
373
415
2,308
240
3,932
1,388
406
445
2,448
4.1 13,259 14,132
12 15,447 15,921
6.0 12,081 12,523
8.8 11,918 12,258
7.1 10,632 11,232
6.0 16,848 17,073
14,608
16,887
13,171
13,289
12,004
17,838
33
30
40
7
10,888
3,772
7,115
11,427
4,043
7,384
12,183
4,355
7,828
6.6 15,628 16,286
7.7 17,032 17,868
6.0 14,974 15,534
17,198
18,869
16,390
Aurora
Beadle
Bennett
Bon Homme
Brookings
Brown
Brule
Buffalo
Butte
Campbell
42
293
39
100
337
597
80
19
99
30
42
297
38
105
367
623
80
21
105
35
46
313
38
118
398
662
85
21
112
39
9.7
5.2
-1.2
12.6
8.5
6.3
5.7
.7
6.5
11.1
13,603
16,032
12,201
14,165
13,342
16,818
14,580
10,713
12,520
15,359
13,752
16,484
12,205
14,934
14,470
17,526
14,435
11,682
12,845
18,051
15,257
17,427
12,363
16,978
15,491
18,641
15,135
11,698
13,393
20,144
49
28
59
34
46
16
51
60
57
7
Charles Mix
Clark
Clay
Codington
Corson
Custer
Davtson
Day
Deuel
126
78
167
346
41
91
281
106
60
54
131
79
178
373
45
97
295
102
60
5:
143
84
195
403
4;
103
32"
106
64
60
9.5
6.5
9.3
7.9
5.8
6.7
8.8
3.4
6.8
4.3
13,864
17,773
12,667
15,187
9,768
14,818
16,033
15,262
13,234
9,769
14,359
18,330
13,575
16,278
10,66"
15,683
16,912
14,859
13,21
10,218
15,469
19,379
14,802
17,343
11,126
16,219
18,369
15,570
14,185
10,742
47
9
52
29
61
40
19
45
55
63
49
74
54
71
56
78
4.9
9.3
13,242 14,596
17,096 16,655
15,468
18,122
48
20
South Dakota
Metropolitan portion
Nonmetropolitan portion
Dewey
Douglas
Edmunds
See footnotes at end of table.
Percent
change 2
Millions of dollars
Area name
1990
1992
19,035 19,340 20,276
18,942 19,273 20,214
20,009 20,037 20,931
Wayne
Westmoreland
Wyoming
York
Per capita personal income 3
Total personal income
Rank in
State
1991
1992
Dollars
Rank in
State
1991-92
1991
1992
Fall River
Faulk
Grant
Gregory
Haakon
Hamlin
Hand
Hanson
106
52
132
83
51
73
84
36
108
48
138
83
51
74
85
35
110
52
142
88
48
76
79
41
2.4
9.0
3.0
6.1
-6.2
3.0
-7.1
17.9
15,787
15,471
19,754
14,692
19,769
12,104
14,968
17,384
16,620
15,799
19,809
14,847
19,898
11,780
15,617
19,322
17,004
16,871
18,798
15,252
18,628
13,965
Harding
Hughes
Hutchinson
Hyde
Jackson
Jerauld
Jones
Kingsbury
Lake
Lawrence
26
236
127
30
30
49
27
92
167
298
26
253
125
30
30
49
26
97
174
314
26
270
140
28
31
49
24
99
180
337
-.7
7.0
12.5
-4.4
3.7
.9
-8.2
2.5
3.9
7.1
15,402
15,931
15,407
17,807
10,708
20,426
20,259
15,577
15,833
14,379
15,904
16,948
15,399
18,062
10,672
20,497
19,863
16,664
16,525
14,953
16,211
17,768
17,529
17,291
10,823
20,763
18,786
17,044
17,038
15,791
Lincoln
Lyman
McCook
McPherson
Marshall
Meade
Mellette
Miner
Minnehaha
Moody
259
61
82
50
94
306
25
52
2,266
115
273
63
82
52
92
319
23
54
2,422
124
296
60
92
56
96
341
22
56
2,623
116
8.5
-4.7
12.1
7.8
3.5
6.7
-3.2
3.8
8.3
-6.1
16,760
16,622
14,408
15,598
19,489
13,987
11,955
15,792
18,216
17,662
17,588
17,600
14,540
16,707
19,406
14,198
10,770
16,798
19,067
18,852
18,710
16,527
16,497
18,466
20,165
14,636
10,570
18,022
20,179
17,447
Pennington
Perkins
Potter
Roberts
Sanborn
Shannon
Spink
Stanley
Sully
Todd
1,248
73
56
128
48
60
161
40
50
61
1,348
75
54
125
47
65
165
40
50
67
1,436
76
59
137
49
72
171
41
53
6.5
1.9
9.2
9.9
3.8
9.6
3.6
.9
5.5
2.0
15,279
16,102
17,678
12,942
17,041
6,001
20,265
16,443
31,601
7,292
16,991
12,825
16,821
6,366
20,842
16,419
32,265
7,951
16,896
20,304
18,901
14,214
17,568
6,826
21,720
16,536
33,851
7,954
105
152
166
95
298
27
108
150
182
98
320
28
108
168
195
104
347
27
.2
12.0
7.3
6.0
8.4
-4.8
15,238
17,669
16,291
15,814
15,415
12,042
15,456
17,785
17,624
16,759
16,257
13,210
15,625
19,840
18,704
18,079
17,447
12,580
77,786
57,401
20,384
81,831
60,414
21,418
88,816
65,458
23,359
8.5
8.3
9.1
15,903
17,354
12,873
16,524
18,031
13,371
17,674
19,227
14,411
1,111
442
189
103
1,308
1,125
373
137
350
600
1,203
458
208
105
1,416
1,173
388
146
370
636
1,311
495
210
113
1,546
1,281
422
161
405
686
8.9
8.1
1.1
8.0
9.2
9.2
8.8
10.0
9.4
7.8
16,244
14,461
12,989
10,587
15,156
15,210
10,604
13,001
12,685
11,636
17,366
14,738
14,024
10,791
16,015
15,648
10,969
13,746
13,370
12,279
18,587
15,589
13,945
11,588
17,098
16,868
11,846
14,944
14,643
13,176
370
131
291
82
329
637
178
431
10,070
116
388
137
308
87
354
664
192
446
10,628
122
425
151
340
94
396
726
215
486
11,533
132
9.3
10.3
10.3
7.9
11.7
9.2
11.7
9.1
8.5
8.9
13,541
10,171
11,115
11,292
11,261
15,722
13,330
12,324
19,700
11,086
13,863
10,663
11,575
12,119
12,095
16,166
14,356
12,363
20,721
11,639
14,743
11,673
12,559
13,016
13,412
17,429
16,180
13,234
22,273
12,739
192
498
517
316
151
455
641
365
181
732
205
521
525
340
167
475
672
392
191
750
224
569
568
370
184
515
742
426
21:
794
9.4
9.1
8.2
8.8
10.1
8.5
10.3
8.8
10.9
5.8
13,294
14,108
14,796
12,343
10,297
13,085
13,816
14,135
10,533
13,073
14,138
14,528
15,059
13,190
11,322
13,518
14,511
14,892
10,908
13,266
15,320
15,583
16,287
14,233
12,345
14,586
15,986
15,975
11,910
13,867
137
721
5,268
56
271
260
590
238
270
381
146
755
5,385
61
290
277
627
263
280
394
156
824
5,730
68
312
303
679
294
307
431
6.9
9.1
6.4
12.5
7.4
9.3
8.3
11.7
9.4
9.4
10,250
14,230
18,443
8,344
11,579
11,466
13,230
12,278
12,318
13,632
10,877
14,865
18,731
9,147
12,339
11,929
13,834
13,527
12,810
14,051
11,590
15,948
19,853
10,150
13,111
12,891
14,767
15,080
13,861
15,221
Tripp
Turner
Union
Walworth
Yankton
Ziebach
Tennessee
Metropolitan portion
Nonmetropolitan portion
Anderson
Bedford
Benton
Bledsoe
Blount
Bradley
Campbell
Cannon
Carroll
Carter
Cheatham
Chester
Claiborne
Clay
Cocke
Coffee
Crockett
Cumberland
Davidson
Decatur
DeKalb
Dickson
Dyer
Fayette
Fentress
Franklin
Gibson
Giles
Grainger
Greene
Grundy
Hamblen
Hamilton
Hancock
Hardeman
Hardin
Hawkins
Haywood
Henderson
Henry
14,478
1992
April 1994
SURVEY OF CURRENT BUSINESS
•
147
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
fotal personal income
Percent
change 2
Millions of dollars
Area name
1992
Dollars
1991
1992
Hickman
Houston
Humphreys
Jackson
Jefferson
Johnson
Knox
Lake
Lauderdale
Lawrence
17
9
75
19
9
102
41
3
132
5,937
75
274
465
208
80
209
107
453
142
6,323
74
286
508
224
84
222
16
1
490
152
6,813
87
322
553
74
.
43
.
66
.
87
.
82
.
65
.
78
.
17.0
12.4
88
.
11,667
10,672
12,582
10,907
13,028
9,582
17,634
10,514
11,642
13,134
12,057
11,369
13,213
11,663
13,345
9,482
18,491
10,498
12,181
14,139
12,728
11,640
14,022
12,791
14,100
9,966
19,601
11,911
13,611
15,177
72
89
50
70
49
95
5
83
58
34
Lewis
Lincoln
Loudon
McMinn
McNairy
Macon
Madison
Marion
Marshall
Maury
11
0
386
457
574
283
19
8
1,206
315
31
3
802
110
389
478
585
292
21
0
1,267
330
356
887
124
425
518
627
316
223
1,391
31
5
398
987
12.2
94
.
83
.
72
.
81
.
10.6
98
.
64
.
11.7
11.3
10,918
13,689
14,530
13,535
12,572
11,864
15,418
12,640
15,239
14,496
11,475
13,727
14,818
13,663
12,908
12,492
16,032
13,126
15,844
15,257
12,592
14,951
15,569
14,394
13,999
13,630
17,340
13,878
17,315
16,517
75
37
30
47
5
1
57
1
2
53
1
3
18
Meigs
Monroe
Montgomery
Moore
Morgan
Obion
Overton
Perry
Pickett
Polk
95
340
1,318
59
13
7
486
16
8
75
50
160
98
31
6
1,413
62
187
482
15
9
78
55
19
6
16
0
395
1,635
67
207
533
212
86
59
13
8
83
.
95
.
15.7
73
.
10.3
10.6
87
.
96
.
71
.
80
.
11,709
11,108
12,976
12,613
9,974
15,309
10,510
11,270
11,050
11,694
11,852
11,685
13,704
12,944
10,763
15,199
10,992
11,612
12,169
12,291
12,611
12,602
14,868
13,659
11,675
16,889
11,920
12,579
12,970
13,152
73
74
39
56
87
1
6
82
76
68
64
Putnam
Rhea
Roane
Robertson
Rutherford
Scott
Sequatchie
Sevier
Shelby
Smith
746
299
674
592
1,909
197
15
0
750
15,460
13
9
784
305
710
623
2,047
206
13
1
779
16,118
203
81
5
330
770
687
2,301
224
122
81
6
17,274
219
85
.
79
.
85
.
10.4
12.4
86
.
73
.
10.5
72
.
78
.
14,446
12,265
14,274
14,202
15,948
10,706
11,784
14,612
18,671
13,607
15,011
12,354
14,874
14,584
16,492
11,095
12,575
14,671
19,281
14,185
16,000
13,040
16,016
15,714
17,875
11,888
13,245
15,749
20,447
15,210
22
66
2
1
27
8
85
60
26
3
33
Stewart
Sullivan
Sumner
Tipton
Trousdale
Unicoi
Union
Van Buren
Warren
Washington
11
1
2,348
1,688
507
65
220
16
3
45
41
3
1,427
19
1
2,458
1,766
543
68
230
16
4
46
446
1,502
127
2,610
1,922
590
74
249
13
6
50
486
1,633
65
.
62
.
89
.
87
.
93
.
79
.
11.4
76
.
89
.
87
.
11,697
16,321
16,270
13,393
10,955
13,313
9,915
9,318
13,020
15,405
12,371
16,956
16,737
14,090
11,458
13,926
10,473
9,421
13,344
15,985
12,524
17,794
17,807
15,044
12,491
14,808
11,579
10,157
14,510
17,199
78
10
9
36
79
40
92
93
46
14
Wayne
Weakley
White
Williamson
Wilson
19
4
414
238
1,900
1,100
162
427
249
2,089
1,158
182
41
7
21
7
2,318
1,294
12.6
10.4
89
.
11.0
11.7
10,641
12,931
11,836
23,221
16,174
11,430
13,341
12,250
24,524
16,618
11,965
14,753
13,221
26,149
18,181
8
1
42
62
1
7
285,497
246,922
38,575
302,627
262,586
40,041
326,016
283,066
42,951
558
197
1,027
257
19
2
32
358
320
16
1
18
6
580
21
0
1,096
276
18
2
33
372
328
10
2
18
7
624
215
1,165
293
19
3
38
405
345
19
1
19
8
76
.
72
.
63
.
62
.
91
.
14.0
86
.
54
.
-3
.
59
.
11,643
13,763
14,666
14,409
16,234
15,869
11,717
16,067
16,565
15,813
12,124
13,790
15,499
14,975
16,464
17,018
11,941
16,201
17,309
16,533
13,023
14,747
16,181
15,323
18,090
19,436
12,853
16,654
17,592
17,000
21
2
19
7
10
1
14
5
56
33
224
92
67
83
499
7
1
290
2,676
18,553
98
17
216
1,271
3,243
533
68
304
2,715
19,683
15
0
1
3
217
1,305
3,464
580
74
317
3,087
21,365
11
1
1
6
232
1,378
3,604
88
.
95
.
42
.
13.7
85
.
64
.
23.0
67
.
56
.
40
.
13,053
16,168
11,599
13,982
15,618
16,381
20,834
14,260
15,529
16,837
13,795
16,016
12,051
14,338
16,311
16,722
17,605
14,414
15,935
17,402
14,662
17,758
12,823
16,196
17,326
16,688
22,579
15,262
16,751
17,681
15
8
64
226
19
0
70
90
12
16
5
88
65
1,522
14
1
37
77
448
19
7
31
5
313
262
14
5
1,617
14
1
33
8
1
464
190
375
330
273
10
6
1,743
19
1
37
89
496
207
393
360
293
13
7
77
.
44
.
11.1
94
.
68
.
85
.
48
.
92
.
73
.
84
.
12,481
13,191
19,237
9,453
13,068
13,122
15,511
11,897
13,724
13,109
13,173
13,431
17,838
10,052
13,465
13,929
16,501
12,441
14,038
13,551
13,923
13,777
19,557
10,855
14,510
14,831
17,040
13,423
14,567
14,619
208
210
30
240
193
16
7
8
1
218
11
9
19
8
1990
Texas
Metropolitan portion
Nonmetropolltan portion
Anderson
Andrews
Angelina
Aransas
Archer
Armstrong
Atascosa
Austin
Bailey
Bandera
Bastrop
Baylor
Bee
Bell
Bexar
Blanco
Borden
Bosque
Bowie
Brazoria
,
Brazos
Brewster
Briscoe
Brooks
Brown
Burleson
Burnet
Caldweil
Calhoun
Callahan
See footnotes at end of table.
1991
1991-92 1990
Area name
1992
7 7 16,747 17,440 18,437
.
7 8 17,353 18,075 19,074
.
7 3 13,690 14,178 15,110
.
Per capita personal income3
Total personal income
Rank in
State
Percent
change 2
Millions of dollars
1990
1991
1992
1991-92
Rank in
State
Dollars
1992
1990
1991
1992
9,590
16,255
16,193
13,204
17,796
15,015
13,552
15,267
14,931
14,991
9,923
17,140
16,833
13,931
18,495
16,032
14,355
14,836
14,941
15,304
10,649
18,663
19,039
14,851
19,008
16,433
15,558
16,535
16,361
17,873
242
45
38
175
40
100
144
97
103
62
22.9
6.6
16.7
12,987 13,975 15,023
12,717 13,144 14,363
23,372 23,748 24,363
15,957 14,846 17,662
15,271 16,308 16,656
17,963 18,449 19,393
15,152 14,755 16,008
13,543 12,314 15,230
14,649 15,268 16,116
9,670
10,971
167
196
6
66
91
34
121
158
114
238
37
64
66
108
32
129
44,812
225
336
75
10.6
2.1
6.1
22.9
6.5
5.1
7.2
24.5
1.7
7.7
15,300
12,987
14,486
15,136
9,394
19,596
21,172
15,658
16,253
13,936
15,630
13,305
15,159
12,112
9,244
22,201
22,097
12,737
17,587
14,665
17,793
13,823
16,289
14,990
9,981
23,190
23,420
15,967
17,910
16,072
63
209
105
169
245
10
8
124
61
117
5,354
275
35
92
62
123
245
1,761
29
1,406
5,781
295
38
97
67
139
260
1,820
31
1,548
8.0
7.2
8.2
5.8
6.5
18,443
14,094
14,615
8,291
16,775
9,272
12,832
14,007
12,031
15,483
18,814
15,017
14,466
8,593
17,708
9,643
13,448
14,600
12,985
16,254
19,614
16,168
15,720
9,213
19,020
10,902
14,561
14,878
12,614
17,577
111
135
249
39
239
192
173
228
4,386
111
7,124
435
228
360
344
60
144
29
4,778
115
7,854
472
239
387
369
74
145
33
5,188
124
11,508
15,547
11,859
13,962
16,137
15,234
17,616
18,874
19,204
14,084
11,615
15,374
13,063
14,754
17,360
13,020
16,946
16,701
19,765
14,478
12,497
16,587
13,652
15,983
18,411
16,414
17,186
19,831
20,283
15,572
230
93
212
122
50
101
75
26
23
143
Freestone ....
Frio
Gaines
Galveston ....
Garza
Gillespie
Glasscock ....
Goliad
Gonzales
Gray
212
141
195
3,787
62
272
27
76
231
419
225
149
168
4,023
60
297
24
81
247
430
244
162
202
4,317
72
318
30
86
271
460
14,329
18.2
7.3
27.4
5.8
9.6
7.0
13,403
10,379
13,841
17,344
12,145
15,822
18,492
12,657
13,488
17,631
15,609
10,661
11,836 14,141
18,032 18,928
12,014 14,416
17,064 17,972
16,369 21,129
13,432 14,157
14,367 15,846
18,288 19,647
140
241
201
42
194
59
19
200
127
27
Grayson
Gregg
Grimes
Guadalupe ...
Hale
Hall
Hamilton
Hansford
Hardeman ....
Hardin
1,527
1,815
239
910
513
61
117
141
81
574
1,582
1,903
245
965
500
51
125
148
76
625
1,656
2,040
260
1,051
518
59
135
161
82
674
4.7
7.2
6.1
9.0
3.6
15.0
8.2
8.7
8.5
7.9
16,073 16,578 17,418
17,272 17,801 18,900
12,663 12,843 13,432
13,994 14,671 15,783
14,796 14,398 14,721
15,625 13,218 15,437
15,160 16,565 18,110
24,175 26,145 28,701
15,453 15,276 16,535
13,870 14,740 15,491
43
217
129
180
148
55
3
98
146
Harris
Harrison .......
Hartley
Haskell
Hays
Hemphill
Henderson ...
Hidalgo
Hill
Hockley
57,080
789
99
105
879
63
776
3,487
357
310
61,644
822
105
91
949
70
808
3,771
379
326
66,265
877
112
108
1.041
73
874
4,126
407
361
7.5
6.7
6.8
17.7
9.7
4.4
8.2
9.4
7.2
10.9
20,140 21,217 22,298
13,731 14,405 15,346
27,303
30,630
15,583 13,705 16,240
13,361 14,177 15,213
16,990 19,039 20,958
13,245 13,705 14,615
9,008
9,802
9,386
13,111 13,922 14,891
12,810 13,359 14,702
14
153
2
108
159
20
190
246
171
181
Hood
Hopkins
Houston
Howard
Hudspeth
Hunt
Hutchinson ...
517
441
304
484
28
955
430
556
447
316
492
22
1,000
457
606
498
335
515
26
8.9
11.4
6.0
4.8
16.6
7.2
2.7
17,884 18,448
15,326 15,477
14,243 14,828
15,031 15,302
7,438
9,559
14,843 15,628
16,835 17,854
32
72
134
119
251
99
48
2,680
172
109
419
163
326
581
88
146
64
2,968
189
123
445
166
338
627
102
158
75
10.8
10.1
12.8
6.3
1.9
3.5
7.9
15.9
8.1
17.4
47
123
6,606
52
297
981
195
37
468
604
50
135
7,087
61
304
1,070
211
46
499
705
6.2
9.8
7.3
107
39,390
224
312
67
33
63
63
88
30
123
41,802
180
331
70
Denton
De Witt
Dickens
Dimmit
Donley
Duval
Eastland
Ector
Edwards
Ellis
5,092
265
37
86
62
119
236
1,664
27
1,322
El Paso
Erath
Falls
Fannin
Fayette
Fisher
Floyd
Foard
Fort Bend ....
Franklin
6,863
436
210
346
323
73
149
34
Cameron
Camp
Carson
Cass
Castro
Chambers ....
Cherokee
Childress
Clay
Cochran
2,512
161
106
396
160
302
555
91
149
Coke
Coleman
Collin
Collingsworth
Colorado
Comal
Comanche ...
Concho
Cooke
Coryell
44
123
6,231
Cottle
Crane
Crockett
Crosby
Culberson ....
Dallam
Dallas
Dawson
Deaf Smith ..
Delta
34
60
59
111
32
66
57
280
933
203
41
454
622
1,072
469
18.6
2.3
9.1
8.4
12.7
6.2
3.3
6.5
10.1
10.2
8.5
4.7
7.7
7.1
23.7
1.0
14.7
8.6
8.5
8.3
9.0
20.1
7.3
19,485
17,223
15,724
16,024
8,684
16,509
18,507
148 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total persona! income
Area name
Percent
change 2
Millions of dollars
1990
1991
1992
991-92
Dollars
1990
1991
1992
29
97
213
30
102
218
4.7
5.3
2.3
16,242 18,139
13,219 14,391
14,859 16,613
18,543
15,105
16,835
47
163
85
412
27
4,024
58
436
1,450
225
147
767
441
28
4,313
64
467
1,501
210
156
806
311
481
29
4,644
68
497
1,619
235
166
869
338
9.0
2.4
7.7
6.9
6.4
7.9
12.0
6.7
7.9
8.6
13,278 14,184
13,832 14,784
16,814 17,864
11,445 12,632
11,589 12,273
14,913 15,249
13,720 13,027
11,818 12,680
14,617 15,021
19,638 20,386
15,366
15,105
19,089
13,485
12,998
16,159
14,977
13,645
15,976
21,333
150
164
37
216
222
112
170
213
123
18
9
13
652
54
6
28
350
73
648
238
10
12
687
58
6
32
389
70
673
226
10
14
730
63
6
34
390
76
730
243
1.4
17.5
6.2
8.2
-9.5
6.4
.3
8.0
8.4
7.8
20,590
12,437
17,951
13,067
15,932
9,091
11,627
14.97:
14,724
15,909
23,660 23,606
12,564 15,004
18,796 19,586
14,063 15,247
19,697 17,195
10,126 10.574
12,978 12,845
14,740 15,907
15,331 16,585
15,228 16,576
168
29
157
74
243
225
125
95
96
Lampasas
La Salle
Lavaca
Lee
Leon
Liberty
Limestone
Lipscomb
Live Oak
Llano
177
55
277
171
175
728
279
58
112
187
184
58
289
183
189
787
298
57
125
199
200
64
309
201
204
847
315
60
140
210
8.7
9.6
7.1
10.2
8.1
7.6
5.6
6.5
13,110
10,333
14,881
13,359
13,858
13,769
13,367
18,713
11,748
16,133
13,656
10,758
15,510
14,300
14,747
14,648
14,337
18,357
12,841
17,141
14,670
11,773
16,790
15,586
15,779
15,442
15,264
19,970
14,273
17,969
184
234
86
142
130
147
155
25
198
60
Loving
Lubbock
Lynn
McCulloch
McLennan
McMullen
Madison
Marion
Martin
Mason
3,521
111
116
2,776
15
145
120
78
50
3
3,626
90
121
2,916
17
153
126
62
52
4
3,860
116
130
3,117
18
167
135
69
55
14.3
6.5
28.7
7.2
6.9
4.4
9.1
7.3
12.0
6.1
26,589
15,801
16,507
13,303
14,648
18,896
13,299
12,061
15,752
14,753
30,772 25,184
16,181 17,185
13,375 17,220
14,625 15,85'
15,289 16,272
21,485 21,952
13,895 15,108
12,679 13,537
12,937 14,204
15,604 16,389
4
76
73
126
106
16
162
214
199
102
Matagorda ,
Maverick
Medina
Menard
Midland
Milam
Mills
Mitchell
Montague
Montgomery
534
254
341
28
2,223
314
66
110
238
3,174
595
279
364
30
2,417
337
66
105
249
3,443
593
312
390
33
2,550
362
72
115
269
3,730
-.4
12.1
7.4
12.0
5.5
7.6
9.7
9.3
8.1
8.3
14,516
6,900
12,426
12,428
20,828
13,695
14,546
13,82<
13,838
17,231
15,791 15,622
7,687
7,192
12,977 13,708
13,568 14,795
22,159 22,880
14,789 15,836
14,569 16,0213,659 15,028
14,53; 15,772
17,810 18,313
138
253
211
177
11
128
120
166
131
52
27172
23
722
565
137
228
4,440
169
47
295
185
23
755
598
149
229
4,756
156
52
303
196
23
815
646
161
245
5,118
173
52
2.9
6.1
1.1
8.0
8.1
8.5
6.9
7.6
11.0
-.6
15,403 16,33;
13,105 14,116
15,353 15,561
13,179 13,768
14,155 15,055
10,149 11,067
13,762 14,049
15,213 16,034
18,544 17,539
20,87
23,583
16,787
15,135
16,150
14,890
16,27
11,952
15,199
87
161
113
172
107
231
160
82
31
Orange
Palo Pinto
Panola
Parker
Parmer
Pecos
Polk
Potter
Presidio
Rains
1,144
347
288
1,033
20'
148
425
1,462
59
1,238
357
294
1,080
221
156
450
1,564
63
91
1,336
381
312
1,164
22165
49
1,713
66
98
7.9
6.9
6.1
7.8
1.1
5.9
9.1
9.6
4.5
7.6
14,196 15,119 16,07
13,868 14,264 15,524
13,075 13,355 14,130
15,82] 16,254 17,165
22,46'
20,343 22,32
10,13' 10,773 11,526
13,76; 14,092 14,635
14,942 15,84- 17,17'
9,646
8,71
9,545
12,90c 13,310 14,08
Randall
Reagan
Real
Red River
Reeves
Refugio
Roberts
Robertson
Rockwal!
Runnels
1,580
49
29
182
164
125
19
190
558
156
1,648
54
32
18:
169
140
20
19'
589
154
1,769
5"
35
202
184
142
2'
17,618
10,922
12,167
12,761
10.39c
15,81
18,402
214
637
164
7.3
-5.1
8.9
8.2
8.9
1.3
4.6
8.8
8.3
6.5
18,207
12,07'
13,436
13,323
10,765
17,971
19,705
12,229 12,811
21,533 21,64'
13,875 13,954
639
125
96
191
663
132
102
199
757
7"
703
142
11
21
799
86
6.1
7.8
8.4
9.6
5.6
11.6
14,602 15,154
13,095 13,660
12,106 12,980
11,634 11,856
11,848 12,689
13,982 14,869
,
Jasper
Jeff Davis
Jefferson
Jim Hogg
Jim Wells
Johnson
Jones
Karnes
Kaufman
Kendall
Kenedy
Kent
Kerr
Kimble
King
Kinney
Kleberg
Knox
Lamar
Lamb
,
,
,
,
Moore
Morris
Motley
Nacogdoches
Navarro
Newton
Nolan
Nueces
Ochiltree
Oldham
,
,
Rusk
Sabine
San Augustine
San Jacinto
San Patricio
San Saba
See footnotes at end of table,
11.9
5.3
Area name
Percent
change 2
Millions of dollars
1990
1992
26
92
193
Irion
jack
Jackson
Per capita personal income 3
Total personal income
Rank in
State
1991
1991-92
1992
Rank in
State
Dollars
1990
1991
1992
12,280
13,859
17,063
14,047
1992
36
256
53
294
37
255
56
309
40
274
58
341
6.9
7.4
4.5
10.2
11,850
13,741
16,099
13,378
13,061
14,660
18,016
15,646
220
186
58
136
2,560
79
215
122
15
34
58
167
22,527
97
2.685
86
240
127
17
33
65
177
23,587
103
2,880
92
270
135
20
36
66
181
25,351
5.3
7.3
7.0
12.7
6.6
17.2
9.8
2.2
2.6
7.5
31,174 34,234 36,822
16,906 17,532 18,648
15,034 16,244 16,586
5,261
5,592 6,015
13,664 14,686 15,764
10,188 11,502 12,964
17,081 16,353 18,072
14,001 14,973 15,591
20,727 22,209 21,872
19,149 19,617 20,778
1
46
94
254
132
223
57
141
17
21
1,871
23
181
46
366
1,513
10,641
143
215
1,947
24
182
40
386
1,582
11,289
149
233
440
2,081
25
200
43
418
1,684
12,307
160
248
475
6.9
4.9
10.2
7.3
8.3
6.5
9.0
7.7
6.4
8.0
15,658 16,438
16,387 17,208
13,737 13,888
24,832 22,098
15,213 15,980
15,401 16,151
18,355 18,951
12,550 13,009
12,928 13,82:
12,997 13,734
17,263
18,434
15,417
24,378
17,132
16,993
20,072
13,947
13,942
14,674
71
49
149
5
80
84
24
206
207
183
60
277
391
512
1,223
576
325
178
456
1,208
60
291
424
538
1,327
588
347
184
474
1,356
65
309
454
577
1,415
626
375
183
503
1,542
9.0
6.3
7.2
7.3
6.7
6.4
8.1
-.4
6.1
13.7
13,732 14,004 15,632
11,862 12,326 12,774
10,111 10,615 11,167
13,476 13,968 14,864
16,399 17,535 18,371
11,320 11,348 11,881
13,884 15,044 15,733
13,661 14,373 14.647
17,456 18,166 18,962
8,972 9,624 10,387
137
227
236
174
51
232
133
187
96
1,977
231
135
2,180
293
104
497
411
614
101
2,060
219
149
2,370
311
109
505
429
640
106
2,192
237
170
2,625
339
114
549
465
4.4
4.9
6.4
8.7
14.1
10.8
9.0
5.1
8.8
8.4
14,924
16,553
16,180
15,348
7,615
15,501
12,858
12,171
14,291
13,986
15,461 16,055
17,810 19,216
17,042 18,204
14,781 16,293
8,303 9,299
16,183 17,146
13,356 14,278
12,676 13,522
14,279 15,350
14,583 15.620
118
36
53
104
248
79
197
215
152
139
124
300
72
86
129
308
79
93
14;
330
86
100
7.1
9.4
7.0
14,204
16,651
7,727
7,054
14,773
17,319
8,248
7,571
89
44
250
252
24,320
19,444
4,876
26,076
20,910
5,166
28,206
22,615
5,591
8.2
8.2
8.2
14,063 14,759 15,573
14,500 15,269 16,117
12,554 13,001 13,703
Beaver ..„
Box Elder
Cache
Carbon
Daggett
Davis
Duchesne
Emery
Garfield
Grand
60
516
869
286
g
2,621
14
124
47
61
531
922
294
9
2,790
153
129
48
84
65
564
996
31
10
2,998
17'
138
51
95
6.2
6.2
8.1
6.5
8.0
7.5
11.4
7.7
6.6
13.8
12,503 12,766
14,110 14,397
12,351 12,85'
14,202 14,558
12,303 12,185
13,875 14,371
11,449 11.998
11,993 12,414
11,982 12,039
12,200 12,448
13,265
15,043
13,610
15,491
13,155
14,994
13,065
13,504
12,631
13,343
15
6
12
5
16
7
17
13
22
14
116
145
202
78
13
235
188
77
247
204
Iron
Juab
Kane
Millard
Morgan
Piute
Rich
Salt Lake
San Juan
Sanpete
232
64
64
139
7
13
2
11,420
103
174
241
69
66
145
75
13
26
12,260
10.1
7.8
8.7
3.4
8.3
5.9
3.5
8.4
14.4
6.1
11,105
11,027
12,295
12,299
12,786
10,332
12,071
15,668
8,132
10,694
11,333
11,753
12,910
12,700
13,365
10,43^
15,439
16,455
8,839
10,892
12,154
12,556
13,788
13,002
14,022
11,079
15,859
17,408
9,609
11,229
25
23
11
19
186
266
75
72
150
8
14
2;
13,29123
198
19,252
11,129
14,396
14,67!
11.83C
18.145
20,308
14,097
21,993
15,056
35
237
195
182
233
54
22
203
15
165
Sevier
Summit
Tooele
Uintah
Utah
Wasatch
Washington
Wayne
Weber
183
348
35'
240
3,015
126
582
23
2,386
193
378
377
25;
3,313
137
640
24
2,54'
205
416
408
277
3,590
149
70'
26
2,736
6.0
9.9
8.2
8.0
8.4
9.1
9.5
11.9
7.4
11,852
22,102
13,38'
10,749
11,399
12,45'
11,852
10,494
15,04!
12.40J 12,948
22,26c 22,859
13,911 14,810
11,15" 11,78'
12,314 13,052
13,093 13,929
12,236 12,660
10,757 12,44
15,801 16,616
20
1
8
16,11
14,781
13,955
12,558
13.186
15.358
115
178
205
229
219
151
9,846
3,359
6,487
10,077
3,448
6,629
10,73
3,652
7,085
6.5
5.9
6.9
17,444 17,750 18,792
18,907 19,207 20,150
16,77; 17,071 18,161
51
66'
53c
67
7.3
6.4
15,51!
18,43'
17,013
19,533
23,200
7
Schleicher
Scurry
Shackelford
Shelby
Sherman
Smith
Somervell
Starr
Stephens
Sterling
Stonewall
Sutton
Swisher
Tarrant
Taylor
Terrell
Jerry
Throckmorton
Titus
Tom Green
Travis
Trinity
Tyler
Upshur
Upton
Uvalde
Val Verde
Van Zandt
Victoria
Walker
Waller
Ward
Washington
Webb
Wharton
Wheeler
Wichita
Wilbarger
Willacy
Williamson
Wilson
Winkler
Wise
Wood
Yoakum
Young
Zapata
Zavala
Utah
Metropolitan portion
Nonmetropolltan portion
Vermont
Metropolitan portion
Nonmetropolitan portion
Addison
Bennington
57;
71-
15,926
18,808
16,720
18,747
8,743
8,094
16,882
19,988
41
244
4
2
29
27
26
18
10
21
24
3
April 1994
SURVEY OF CURRENT BUSINESS
•
149
Table 2.—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income3
Total personal income
Area name
Percent
change 2
Millions of dollars
1990
1991
Rank in
State
Dollars
,
Virginia
Metropolitan portion
Nonmetropolitan portion
1991 1992
421
2,731
77
618
100
347
390
346
459
2,876
83
670
106
374
419
373
9.0
5.3
7.8
8.3
6.8
7.8
7.4
7.6
14,615
20,151
11,524
14,962
17,873
16,890
14,694
13,919
14,958
20,510
11,983
15,127
17,988
17,093
14,680
14,232
16,236
21,430
12,646
16,171
18,919
18,227
15,627
15,226
1,027
969
762
1,013
1,060
980
778
1,025
1,125
1,038
842
1,086
6.1
6.0
8.3
5.9
16,502
17,592
18,295
18,717
16,990
17,770
18,772
18,890
18,009
18,729
20,236
19,977
121,397
100,583
20,813
Rutland
Washington
Windham
Windsor
1990
409
2,661
74
602
96
335
387
336
Caledonia
Chittenden
Essex
Franklin
Grand Isle
Lamoille
Orange
Orleans
126,206
104,820
21,386
133,534
110,959
22,575
5.8
5.9
5.6
19,543 20,071 20,883
20,979 21,568 22,396
14,685 14,976 15,677
1992
1991-92
Percent
change 2
Millions of dollars
Area name
1992
10
1
14
11
5
7
12
13
Per capita personal income3
Total personal income
Rank in
State
Dollars
1990
1991 1992
30,442
16,914
15,119
15,501
14,851
14,778
23,012
18,200
15,867
18,928
1990
31,095
17,324
15,896
16,109
15,869
15,506
23,385
18,563
16,571
19,508
Independent Cities:
Alexandria
Chesapeake
Hampton
Newport News
Norfolk
Portsmouth
Richmond
Roanoke
Suffolk
Virginia Beach
3,387
2,595
2,027
2,648
3,878
1,534
4,680
1,759
830
7,495
3,499
2,756
2,156
2,769
4,011
1,607
4,743
1,804
874
7,890
3,706
2,940
2,268
2,949
4,267
1,695
5,037
1,937
915
8,429
2,189
2,293
2,411
5.1
20,124 21,015 22,128
365
1,676
887
1,909
420
1,279
378
1,690
929
1,946
432
1,322
1,764
982
2,038
460
1,387
5.3
4.4
5.7
4.7
6.3
5.0
14,735
17,096
17,052
16,776
12,599
16,936
24,591
1,196
199
26,105
1,226
217
27,674
1,290
229
6.0
5.2
5.6
17,504 17,592 18,205
14,062 13,825 13,607
487
1,215
941
1,169
1,575
769
500
1,211
984
1,182
1,614
528
1,278
1,035
1,238
1,717
845
5.5
5.5
5.2
4.7
6.4
6.0
13,491
16,622
20,142
12,972
14,461
15,173
4,855
2,142
5,053
2,175
5,365
2,296
6.2
5.6
19,239 19,534 20,100
20,761 20,954 22,139
451
1,423
1,498
490
1,597
4.4
6.6
14,180 14,673 15,230
16,057 16,737 17,521
401
1,419
948
635
1,054
418
1,452
988
663
1,114
440
1,543
1,041
705
1,176
5.3
6.3
5.4
6.4
5.5
15,732
18,286
14,724
14,491
19,615
94,420
81,190
13,230
100,758
86,711
14,046
109,485
94,300
15,186
8.7
8.8
8.1
19,268 20,087 21,289
19,967 20,831 22,084
15,857 16,455 17,400
248
267
2,000
909
982
4,305
69
1,374
396
83
239
291
2,192
983
1,037
4,537
67
1,485
429
86
267
315
2,423
1,065
1,106
4,909
74
1,541
480
91
12.1
8.2
10.5
8.3
6.6
8.2
11.0
3.7
12.0
5.2
18,213
15,069
17,621
17,369
17,287
17,880
17,268
16,663
15,001
13,038
17,034
16,132
18,821
18,550
17,847
18,004
17,191
17,659
15,513
13,178
18,693
17,010
20,122
19,732
18,532
18,837
18,757
18,102
16,823
13,476
32,761
17,712
16,551
16,632
16,815
16,237
24,902
20,024
17,182
20,210
Combination Areas: 5
Albemarle + Charlottesville
Allegheny, Clifton Frg. +
Covington
Augusta, Staunton + Waynesboro
Bedford + Bedford City
Campbell + Lynchburg
Carroll + Galax
Dinwiddie, Col. Hts. + Petersburg
Fairfax, Fairfax City + Falls
Church
Frederick + Winchester
Greensville + Emporia
15,327
17,096
17,442
17,015
12,925
17,371
16,307
17,707
17,991
17,753
13,676
18,040
464
133
382
178
5,166
80
78
398
188
458
472
137
391
185
5,337
83
80
415
195
466
496
145
408
195
5,640
89
84
442
202
491
5.1
5.5
4.4
5.2
5.7
6.8
5.6
6.3
3.4
5.4
14,649
15,083
13,326
14,493
30,248
16,699
11,933
15,885
11,784
14,655
14,813
15,338
13,562
14,797
31,293
17,480
12,251
16,268
12,127
14,717
15,504
15,735
14,050
15,530
32,872
18,648
12,690
17,110
12,422
15,509
69
63
9
1
67
1
26
13
0
43
104
68
163
284
93
145
4,543
224
58
498
117
213
172
286
95
150
4,635
232
60
506
124
227
183
303
101
159
4,878
242
63
523
129
245
6.1
5.8
6.1
6.3
5.3
4.1
4.6
3.5
4.0
7.7
12,623
14,697
14,717
12,364
21,493
18,516
13,234
17,708
14,925
12,138
13,251
14,441
15,117
12,687
21,239
19,374
13,386
17,640
15,853
12,811
14,053
15,078
15,838
13,433
21,660
20,170
14,065
17,963
16,393
13,788
90
78
62
98
12
17
89
32
50
94
133
1,155
163
198
568
234
484
328
194
149
138
1,190
171
207
577
239
506
340
201
154
149
1,236
176
222
618
250
536
361
214
164
7.4
3.9
3.3
7.0
7.2
4.7
6.0
5.9
6.5
6.4
15,260
23,581
13,556
15,721
14,298
14,311
15,986
23,088
11,917
14,347
15,762
23,961
14,050
15,590
14,228
14,610
16,488
23,372
12,466
14,084
16,701
24,389
14,240
15,853
15,107
15,272
17,137
24,054
13,247
14,206
46
7
87
60
77
72
42
6
11
0
88
1,266
5,155
39
414
97
249
197
236
267
2,141
1,280
5,305
40
437
100
261
204
247
278
2,198
1,353
5,564
41
455
110
270
217
254
300
2,332
5.7
4.9
2.8
4.3
10.1
3.4
6.3
2.8
8.1
6.1
19,843
23,604
14,629
16,431
15,418
18,245
17,901
21,619
10,917
24,587
19,486
24,073
15,539
17,006
15,877
18,208
22,660
11,405
24,403
19,972
24,933
15,926
17,405
17,448
18,851
18,756
23,286
12,314
24,743
2
1
4
59
39
38
22
23
9
105
6
Adams
Asotin
Benton
Chelan
Clallam
Clark
Columbia
Cowlitz
Douglas
Ferry
Louisa
Lunenberg
Madison
Mathews
Mecklenburg
Middlesex
Nelson
New Kent
Northampton
Northumberland
309
146
163
158
415
150
181
182
194
183
313
147
170
162
429
157
186
189
195
189
331
154
178
171
451
165
196
198
207
203
5.8
4.7
4.2
5.5
5.2
5.3
4.9
5.0
6.0
7.4
15,084
12,807
13,585
18,932
14,207
17,269
14,154
17,273
14,838
17,385
14,960
12,772
14,059
19,393
14,572
17,748
14,295
17,425
15,004
17,686
15,424
13,407
14,763
20,402
15,194
18,542
14,940
17,994
16,021
18,687
70
100
14
75
27
8
1
30
56
25
Franklin
Garfield
Grant
Grays Harbor
Island
Jefferson
King
Kitsap
Kittitas
Klickitat
538
42
788
995
985
359
37,272
3,324
397
251
584
41
853
1,052
1,051
389
39,802
3,635
417
257
633
43
957
1,133
1,137
419
43,251
3,945
454
274
8.4
4.8
12.2
7.7
8.2
7.8
8.7
8.5
8.9
6.4
14,272
18,921
14,328
15,457
16,158
17,609
24,593
17,318
14,808
15,072
14,920
18,378
14,983
16,263
16,799
18,215
25,947
18,145
15,074
15,356
15,620
19,236
16,289
17,295
17,363
18,765
27,769
18,717
16,251
15,974
Nottoway
Orange
Page
Patrick
Powhatan
Prince Edward
Pulaski
Rappahannock
Richmond
Russell
207
345
303
240
241
214
463
125
106
351
216
350
317
245
246
219
457
131
107
368
226
365
338
257
261
232
482
136
113
388
13,771
15,999
13,912
13,760
15,599
12,307
13,418
18,745
14,557
12,246
14,350
15,827
14,434
14,005
15,321
12,602
13,282
19,612
14,793
12,769
15,036
16,244
15,173
14,662
15,560
13,146
13,960
20,075
15,417
13,422
79
54
76
85
66
102
92
1
9
7
1
99
Lewis
Lincoln
Mason
Okanogan
Pacific
Pend Oreille
Pierce
San Juan
Skagit
Skamania
921
174
551
481
280
117
10,038
245
1,429
133
962
168
600
520
298
126
10,505
267
1,533
141
1,038
182
651
599
323
138
11,377
284
1,643
147
7.8
8.8
8.6
15.3
8.4
10.0
8.3
6.7
7.2
4.3
15,451
19,607
14,236
14,409
14,748
13,076
17,002
24,108
17,767
15,990
15,850
18,752
14,679
15,471
15,564
13,703
17,363
25,044
18,328
16,574
16,883
20,242
15,231
17,483
16,527
14,326
18,361
26,108
19,057
17,133
287
502
433
1,057
93
148
640
426
231
347
303
516
454
1,112
93
152
660
438
238
360
321
546
484
1,174
97
161
704
454
254
380
12,388
15,769
13,367
16,963
15,027
14,501
13,910
16,170
14,832
13,626
13,130
16,074
13,948
16,742
15,039
14,875
14,156
16,201
14,957
14,023
13,827
16,903
14,747
16,557
15,224
15,845
15,026
16,366
15,689
14,782
93
44
84
48
74
6
1
80
52
65
82
Snohomish
Spokane
Stevens
Thurston
Wahkiakum
Walla Walla
Whatcom
Whitman
Yakima
8,768
5,922
410
2,946
55
742
2S157
530
2,935
9,416
6,354
445
3,207
57
770
2,335
535
3,093
10,355
6,888
482
3,496
62
838
2,508
578
3,379
10.0
8.4
8.3
9.0
8.4
8.9
7.4
8.0
9.2
18,613
16,320
13,190
18,076
16,603
15,304
16,724
13,666
15,496
19,413
17,091
13,983
18,925
17,042
15,431
17,518
13,933
15,986
20,653
18,069
14,447
19,801
17,976
16,610
18,184
15,081
17,062
Accomack
Amelia
Amherst
Appomattox
Arlington
Bath
Bland
Botetourt
Brunswick
Buchanan
,
Buckingham
Caroline
Charles City
Charlotte
Chesterfield
Clarke
Craig
Culpeper
Cumberland
Dickenson
,
,
Essex
Fauquier
Floyd
Fluvanna
Franklin
Giles
Gloucester
Goochland
Grayson
Greene
,
,.
Hanover
Henrico
Highland
Isle of Wight
King and Queen
King George
King William
Lancaster
Lee
Loudoun
Scott
Shenandoah
Smyth ..
Stafford
Surry
Sussex
Tazewell
Warren
Westmoreland
Wythe
See footnotes at end of table.
8
3
Halifax + South Boston
Henry + Martinsville
James City + Williamsburg
Montgomery + Radford
Pittsylvania + Danville
Prince George + Hopewell
Pr. William, Manassas +
Manassas Park
Roanoke + Salem
Rockbridge, Buena Vista +
Lexington
Rockingham + Harrisonburg
Southampton + Franklin
Spotsylvania + Fredricksburg
Washington + Bristol
Wise + Norton
York + Poquoson
Washington
Metropolitan portion
Nonmetropolitan portion
30,088 31,204
13,888
16,603
20,546
13,166
14,775
15,990
16,523
18,163
15,254
15,067
19,915
14,522
17,537
21,095
13,657
15,705
16,369
17,209
18,753
16,004
15,965
20,203
1992
150 • April 1994
SURVEY OF CURRENT BUSINESS
Table 2.-—Total Personal Income and Per Capita Personal Income by County, 1990-92—Continued
Per capita personal income 3
Total personal income
Area name
Percent
change 2
Millions of dollars
1991-92
Dollars
1991
1992
14,695
16,527
13,380
15,598
17,507
14,227
190
1,016
396
159
403
1,708
88
104
81
643
7.3 10,705
7.8 14,694
6.6 13,383
6.2 11,272
4.9 13,923
7.0 15,636
10.7 9,670
8.2 9,031
7.1 10,293
6.7 11,661
11,319
15,290
14,241
11,429
14,230
16,526
10,133
9,610
10,622
12,598
11,996
16,103
14,921
12,136
15,055
17,713
11,117
10,328
11,337
13,401
45
10
1
9
44
18
4
5
1
55
50
32
148
475
190
590
143
998
313
572
3,685
87
160
507
201
592
153
1,064
330
588
3,855
92
166
542
216
626
168
1,132
365
616
4,114
6.8
3.7
6.8
7.5
5.8
9.9
6.4
10.6
4.7
6.7
10,499
14,211
13,701
11,461
16,758
13,010
14,413
12,078
15,817
17,771
11,578
15,176
14,504
11,722
16,788
13,667
15,319
12,691
15,921
18,597
12,325
15,555
15,360
12,339
17,802
14,877
16,160
13,980
16,360
19,803
43
15
1
6
42
3
20
9
28
7
2
203
201
539
368
824
506
306
944
346
415
216
210
575
383
866
530
319
1,000
366
447
228
229
617
409
555
344
1,056
380
484
5.6
9.3
7.4
6.7
3.5
4.8
7.8
5.6
3.9
8.2
11,837
9,403
12,567
10,521
14,407
13,565
12,169
14,552
12,970
12,334
12,595
9,775
13,331
11,118
15,103
14,259
12,706
15,442
13,639
13,201
13,169
10,579
14,361
11,988
15,572
14,868
13,814
16,231
14,086
14,395
33
53
24
46
1
4
2
1
29
8
27
23
Monongalia
Monroe
Morgan
Nicholas
Ohio
Pendleton
Pleasants
Pocahontas
Preston
Putnam
1,139
146
160
319
925
98
103
107
350
625
1,220
152
174
333
979
108
108
114
363
674
1,341
158
188
348
1,035
115
119
124
382
725
10.0
4.2
7.9
4.7
5.7
6.7
10.1
8.5
5.3
7.6
15,072
11,794
13,149
11,906
18,227
12,230
13,634
11,956
12,041
14,531
16,024
12,172
13,997
12,437
19,505
13,413
14,270
12,813
12,417
15,253
17,306
12,589
14,701
12,901
20,640
14,333
15,733
13,755
12,990
15,986
6
38
22
35
1
25
12
30
Raleigh
Randolph
Ritchie ,
Roane
Summers
Taylor
Tucker
Tyler
Upshur
Wayne
1,064
338
111
153
140
155
93
111
266
477
1,145
368
117
164
152
167
100
117
277
503
1,216
398
127
178
163
177
106
124
289
539
6.2 13,854
8.3 12,146
10,803
10,187
7.7 9,897
6.3 10,280
6.4 12,085
5.6 11,381
4.1 11,611
7.1 11,469
14,840
13,070
11,488
10,851
10,864
10,985
12,914
11,928
12,010
12,011
Webster
Wetzel
Wirt
Wood
Wyoming
97
260
51
1,352
323
99
279
53
292
58
1,420
338
1,521
361
9,036
13,532
9,781
15,546
11,151
62,184
23,105
88,812
64,806
24,006
95,049
69,382
25,667
17,399
18,625
14,781
179
214
582
183
3,522
212
154
551
777
417
188
228
611
192
3,707
212
161
567
804
421
713
209
7,311
752
217
7,756
Barbour
Berkeley
Boone
Braxton
Brooke
Cabell
Calhoun
Clay
Doddridge
Fayette
!.."."""
Gilmer
Grant
Greenbrier
Hampshire
Hancock
Hardy
Harrison
Jackson
Jefferson
Kanawha
Lewis
Lincoln
Logan
McDowell
Marion
Marshall
Mason
Mercer
Mineral
Mingo
Wisconsin
Metropolitan portion
Nonmetropolitan portion
Adams
Ashland
Barron
Bayfield
Brown
Buffalo
Burnett
Calumet
Chippewa
Clark
Columbia
Crawford
Dane
Dodge
Door
Douglas
Dunn
Eau Claire
Florence
1991
,
,
1991-92
1990
1991
17,421
1992
1992
17,975 19,140
Forest
Grant
Green
Green Lake
Iowa
Iron
Jackson
Jefferson
Juneau
Kenosha
99
698
540
300
297
79
229
1,090
288
2,163
13
0
713
549
308
307
87
238
1,126
304
2,270
114
745
585
327
332
91
256
1,198
31
2
2,421
10.1
4.6
6.5
6.1
8.1
5.0
7.4
6.3
5.3
6.7
Kewaunee
La Crosse
Lafayette
Langlade
Lincoln
Manitowoc
Marathon
Marinette
Marquette
Milwaukee
276
1,667
245
21
6
370
1,266
1,872
588
167
17,814
277
1,744
244
273
390
1,333
1,943
622
174
18,375
31
0
1,864
249
298
416
1,413
2,093
654
184
19,511
8.9
6.8
1.9
9.0
6.9
6.0
7.8
5.1
5.6
6.2
Monroe
Oconto
Oneida
Outagamie
Ozaukee
Pepin
Pierce
Polk
Portage
Price
41
9
399
500
2,483
1,821
10
0
503
486
917
225
517
406
534
2,622
1,908
100
525
503
958
235
557
41
3
578
2,832
2,042
107
559
543
1,057
250
7.7
6.4
8.2
8.0
7.0
7.0
6.5
8.0
10.4
6.3
3
4
Racine
Richland
Rock
Rusk
St. Croix
Sauk
Sawyer
Sheboygan
Taylor
Trempealeau
3,270
222
2,365
173
927
768
173
1,806
249
359
3,440
229
2,404
177
960
797
185
1,855
247
368
3,614
244
2,637
185
1,046
853
21
0
1,987
21
7
388
5.0
6.9
9.7
4.6
8.9
7.0
8.9
7.2
9.6
5.5
18,641
12,631
16,906
11,440
18,357
16,277
12,169
17,345
13,156
14,203
15,705
14,142
12,596
11,784
11,539
11,702
13,688
12,570
12,538
12,832
1
3
26
37
47
49
48
3
1
39
40
Vernon
Vilas
Walworth
Washburn
Washington
Waukesha
Waupaca
Waushara
Winnebago
Wood
333
254
1,232
173
1,863
7,082
702
280
2,488
1,283
339
268
1,295
185
1,948
7,386
743
285
2,613
1,337
362
286
1,374
197
2,092
7,960
804
302
2,821
1,429
7.0
6.7
6.1
6.7
7.4
7.8
8.1
5.7
7.9
6.9
12,996 13,138 13,933
14,290 14,815 15,372
16,372 16,979 17,709
12,510 13,265 13,945
19,436 19,757 20,591
23,131 23,563 24,850
15,200 15,904 16,978
14,446 14,538 15,035
17,677 18,301 19,479
17,405 17,998 19,122
9,370
14,534
10,050
16,298
11,647
10,390
15,241
10,868
17,383
12,346
54
1
7
52
5
4
1
17,954
19,224
15,238
19,038
20,395
16,136
201
238
648
202
3,996
221
174
612
866
461
11,393 11,687
13,155 14,074
14,258 14,877
13,070 13,602
18,037 18,684
15,587 15,645
11,737 12,262
16,047 16,282
14,837 15,212
13,185 13,196
12,324
14,582
15,625
14,296
19,845
16,266
13,097
17,357
16,266
14,383
70
52
38
57
8
32
68
25
33
56
809
232
8,322
1,197
471
652
521
1,456
67
15,786 16,376
13,113 13,582
19,837 20,698
14,158 14,477
17,073 17,403
14,163 14,636
13,036 13,167
15,318 15,824
13,003 12,904
17,332
14,463
21,883
15,385
18,190
15,349
14,256
16,805
13,432
26
53
3
40
1
7
42
58
29
67
10.0
4.8
9.6
1
1
3
6
1. The personal income level shown for the United States is derived as the sum of the county estimates; it
differs from the national income and product accounts (NIPA) estimate of personal income because, by definition,
it omits the earnings of Federal civilian and military personnel stationed abroad and of U.S. residents employed
abroad temporarily by private U.S. firms. It can also differ from the NIPA estimate because of different data sources
and revision schedules.
2. Percent change was calculated from unrounded data.
1992
7.3
177
942
371
150
384
1,596
80
96
75
602
592
1991
1,754
168
879
345
147
376
1,512
76
90
72
558
469
1,306
60
1990
Rank in
State
Dollars
1,634
28,215
13,238
14,976
1,119
447
616
476
1,362
62
Millions of dollars
Area name
1,572
26,440
12,429
14,012
1,086
438
6.7
6.5
6.9
Percent
change 2
Fond du Lac
25,034
11,845
13,189
West Virginia
Metropolitan portion
Nonmetropolitan portion
Per capita personal income 3
Total personal income
1992
1990
13,964
15,824
12,631
1990
1992
Rank in
State
Wyoming
Metropolitan portion
Nonmetropolitan portion
Laramie
Lincoln
Natrona
Niobrara
Park
Platte
Sheridan
Sublette
Sweetwater
Teton
Uinta
Washakie
Weston
14,602
16,988
15,244
13,392
13,653
15,734
16,180
14,461
13,499
18,575
12,746
15,154
18,840
17,365
16,178
14,458
15,300
17,315
14,442
18,071
14,661 15,913
17,718 18,784
15,251 15,480
13,877 15,066
14,185 14,970
16,503 17,394
16,636 17,735
15,220 15,950
13,803 14,219
19,215 20,497
13,351 13,904 14,772
13,165 13,348 14,029
15,730 16,495 17,429
17,618 18,473 19,681
24,887 25,584 26,812
14,033 14,103 15,152
15,335 15,853 16,709
13,945 14,278 15,283
14,912 15,379 16,791
14,403 14,998 15,981
19,361 20,131
12,992 13,786
17,036 18,474
11,711 12,305
18,731 20,072
16,725 17,563
12,764 13,557
17,767 18,921
13,066 14,255
14,507 15,263
,
507
51
3
570
7,664
2,484
5,180
Shawano (incl. Menominee)
Albany
Big Horn
Campbell
Carbon
Converse
Crook
Fremont
Goshen
Hot Springs
Johnson
11,230 11,655
14,148 14,527
17,783 17,922
16,054 16,424
14,734 15,107
12,882 13,999
13,812 14,276
16,023 16,451
13,309 13,787
16,805 17,242
8,278
2,603
5,675
8,659
2,716
5,943
4.6
4.3
16,905 18,076 18,631
18,494 19,173 19,675
16,236 17,615 18,190
415
145
517
280
19
6
90
439
182
76
102
448
154
578
295
178
105
483
212
82
13
1
467
160
607
303
187
107
506
214
87
114
4.3
3.7
4.9
2.5
5.3
1.9
4.8
.9
5.9
13,499
13,883
17,590
16,850
15,280
16,920
13,073
14,733
15,971
16,485
14,665
14,685
19,345
17,998
15,925
19,741
14,134
17,123
17,591
18,185
15,121
15,082
19,806
18,737
16,412
19,843
14,713
17,265
18,503
18,233
1,292
16
7
1,193
42
375
125
41
7
86
649
336
263
19
2
112
1,360
11
9
1,242
48
418
19
3
513
88
71
2
357
290
144
19
1
1,441
202
1,275
49
443
18
3
539
92
759
395
300
11
5
124
5.9
5.9
2.6
1.4
5.9
-.4
5.1
3.6
5.3
10.8
3.4
4.9
3.9
17,663
13,847
19,486
16,902
16,195
15,412
19,977
17,632
16,724
29,875
14,110
15,356
17,190
18,432
14,728
20,056
19,839
17,924
17,108
21,768
17,778
18,086
30,230
15,139
17,305
18,326
19,093
15,400
20,377
19,855
18,663
17,042
22,559
18,169
18,730
32,245
15,256
17,785
18,732
12,335
12,869
13,726
3. Per capita personal income was computed using Bureau of the Census midyear population estimates. Estimates for 1990-92 reflect State and county population estimates available as of February 1994.
4. Denali and Lake + Peninsula Boroughs, AK begin in 1991.
5. Virginia combination areas consist of one or two independent cities with populations less than 100,000 combined with an adjacent county. The county name appears first, followed by the city name(s). Separate estimates
for the jurisdictions making up the combined areas are not available.
April 1994
C-l
SURVEY OF CURRENT BUSINESS
BUSINESS
CYCLE
INDICATORS
Series originating in Government agencies are not copyrighted and may be reprinted freely. Series from private sources
are provided through the courtesy of the compilers and are subject to their copyrights.
Current and historical data for the series shown in the C-pages are available on diskettes, printouts, and the Commerce
Department's Economic Bulletin Board. For more information, contact the Business Cycle Indicators Branch, Business
Outlook Division (BE-52), Bureau of Economic Analysis, U.S. Department of Commerce, Washington, DC 20230. (Telephone:
(202) 606-5366; fax: (202) 606-5313.)
NOTE.—This section of the SURVEY is prepared by the Business Cycle Indicators Branch.
Series
no.
Year
1994
1993
Series title and timing classification
1993
Feb.
|
Mar. |
Apr. | May
July
June
Aug.
Oct
Sept
Nov.
Dec.
Jan.
|
Feb. | Mar.
1. COMPOSITE INDEXES
The Leading Index
910 •
1 *
5*
84
32*
20*
29*
92*
99*
19*
106 •
83*
950
4
Composite index of leading indicators, 1987-100 (L.L.L) ....
Percent change from previous month
Percent change over 3-month span AR
Leading index components:
Average weekly hours, mfg. (L,L,L)
Average weekly initial claims for unemployment
insurance, thous. (L.C.L) > $.
Mfrs.1 new orders, consumer goods and materials,
hi I 1QA7$ (I I I )
DM. I »019 (,L,L,Lj.
Vendor performance, slower deliveries diffusion index,
r\arr-ani (L,L,L; .
percent l\ 1 M*
Contracts and orders for plant and equipment, bil. 1987$
/i i i \
IL,L,LJ.
Index of new private housing units authorized by local
huilctirvn narmrtc 1Qfi7 1Ofl \L,L,LJ.
ouiiQing permus, iyo/—iuu fl I \\
Change in mfrs.1 unfilled orders, durable goods, bil.
1QQ7C emnAthaH (L.L.LJTiyo/«t, smoomea l\ I I \ +
Change in sensitive materials prices, percent, smoothed
(L,U)t.
Index of stock prices, 500 common stocks, 1941-43-10,
KIQA M 1 \\*
NbA (L,L,L) .
Money supply M2 bil 1987$ (L L L)
Index of consumer expectations, U. of Michigan,
1966*1-100 NSA ( L L U © 2
Diffusion index of 11 leading indicator components:
Percent rising over 1-month span
Percent rising over 6-month span
98.7
99.1
98.1
98.1
97.9
98.4
98.6
99.1
.1
1.4
2
-.7
0
0
-3.2
-2.0
-4.0
-1J2
-2.0
-.2
1.2
.5
2.1
.2
5.0
.5
4.5
41.4
41.4
41.2
41.5
41.4
41.2
41.4
41.4
41.5
365
349
375
374
387
383
399
371
370
1.304.70
109.79
107.23
106.72
105.54
106.58
105.35
106.55
109.03
98.4
98.4
'1005
100.5
'100.5
'101.2
5.8
'.3
'0
'.7
6.7
'4.1
'4.1
41.6
41.7
41.7
41.8
41.2
354
336
318
360
338
327
111.43
' 112.55
'114.63
'116.20
'115.30
'116.82
99.5
r
.4
'42.2
51.6
53.0
52.5
53.1
51.7
50.2
50.0
51.3
50.9
50.7
50.7
51.7
55.0
58.8
55.1
434.98
36.26
' 34.41
34.15
33.96
37.86
34.67
36.38
35.84
37.71
'40.53
39.98
'41.30
'41.39
'42.74
96.4
91.0
82.5
87.8
89.4
88.9
92.7
99.0
101.4
104.0
109.6
117.7
108.3
99.7
105.1
-2.87
-2.08
-2.18
-2.42
-2.97
-3.35
-3.30
-3.15
-3.23
-3.10
-2.92
-2.89
'-2.21
••-1.69
'-1.40
-.26
-.15
-.18
-.30
-.40
-.43
-.43
-.48
'-.50
'-.32
'-.05
.29
.52
.80
1.06
451.41
441.70
450.16
443.08
445.25
448.06
447.29
454.13
459.24
463.90
462.89
465.95
472.99
471.58
463.81
2774 0
72.8
2 7754
80.6
2769 3
75.8
2 763 0
76.4
27753
68.5
2 7785
70.4
2 778 0
64.7
2,773.1
65.8
' 2,777.1
66.8
2 769 6
72.5
2 769 6
70.3
27685
78.8
' 2 773 4
86.4
56.1
64.4
59.1
45.5
9.1
54.5
31.8
36.4
36.4
54.5
63.6
40.9
63.6
77.3
81.8
68.2
90.9
81.8
90.9
72.7
81.8
81.8
P90.9
81.8
45.5
22.7
109.1
107.9
108.1
108.6
108.8
108.9
108.8
109.4
109.6
110.0
110.5
111.1
.3
-5.0
.2
3.8
.5
3.4
.2
3.0
.1
.7
-.1
2.2
.6
2.6
.2
4.5
.4
4.1
.5
5.6
'2.9
'110.8
'-.3
'4.0
'111.6
.1
2.5
110,178
3,519.7
109,539
3,449.3
109,565
3,471.1
109,820
3,517.7
110,058
3.524.3
110,101
3,511.7
110,338
3,499.1
110,305
3,542.3
110,502
3,544.2
110,664
3,559.7
110,880
3,578.2
111,110
3,597.4
111.079
'3,562.8
110.9
109.9
110.0
6,197,402 '•510,300 ' 509,203
110.5
507,439
110.0
510,535
110.4
514,723
110.9
510,834
111.1
518.086
111.3
520.538
111.9
523,160
112.8
528,675
114.0
534,561
75.0
100.0
75.0
100.0
62.5
100.0
50.0
100.0
87.5
100.0
100.0
100.0
100.0
100.0
100.0
100.0
r
'2,764.3 ' 2 767 5
83.5
85.1
'81.8
The Coincident Index
920 •
41 •
51 •
47*
57*
951
4
Composite index of coincident indicators, 1987-100 (C,C,C)
Percent change from previous month
Percent change over 3-month span AR
Coincident index components:
Employees on nonagricultural payrolls, thous. (C,C,C) ....
Personal income less transfer payments, bil. 1987$, AR
(C.C.C).
Index of industrial production, 1987-100 (C.C.C)
Manufacturing and trade sales, mil. 1987$ (C.C.C)
Diffusion index of 4 coincident indicator components:
Percent rising over 1-month span
Percent rising over 6-month span
80.2
97.9
100.0
100.0
62.5
75.0
96.4
96.6
.5
3
3
3
112.1
3
.4
3.6
111,277 '111,733
'3.618.8 '3,632.6
'114.4
'115.0
'532,478 '537,128
100.0
100.0
37.5
100.0
'115.6
3
100.C
The Lagging index
930 •
4
91 •
77*
62 •
109 •
101 •
95 •
120 •
952
940*
Composite index of lagging indicators, 1987-100 (Lg.Lg.Lg)
Percent change from previous month
Percent change over 3-month span AR
Lagging index components:
Average duration of unemployment, weeks (Lg.Lg.Lg)3 $
Ratio, mfg. and trade inventories to sales in 1987$
n n 1 n 1 n\
^Ly.Lg.Lqj.
Change in Tabor cost per unit of output, mfg., percent,
AR, smoothed (Lg.Lg.Lg) f 6 .
Average prime rate charged by banks, percent, NSA
lL.g,L.g,L.QJnY
(1 n I n 1 .
Commercial and industrial loans outstanding, mil. 1987$
(Lg.Lg.Lg).
Ratio, consumer installment credit outstanding to
personal income, percent (Lg.Lg.Lg).
Change in Consumer Price Index for services, percent,
AR, smoothed (Lg.Lg.Lg) f.
Diffusion index of 7 lagging indicator components:
Percent rising over 1-month span
Percent rising over 6-month span
Ratio, coincident index to lagging index. 4$87-100 (L.L.L) .
96.4
96.4
96.3
96.3
96.7
96.4
96.6
96.4
96.2
'96.2
'96.5
-.2
-.8
-A
1.3
-.3
1.3
—1.2
_2
-!8
_2
-1.2
4
2
3.4
'—1.6
'0
4
'-.4
'96.1
'-.4
4
- 8
18.1
1.56
18.2
1.57
17.7
1.57
17.7
1.58
17.8
1.58
17.8
1.56
17.9
1.58
18.3
1.56
18.4
1.56
18.4
1.55
18.9
1.54
185
1.52
18.3
1.52
-2.5
-3.6
-3.9
-4.0
-3.3
-2.9
-2.5
-1.8
-.8
-.9
-1.6
-2.5
'-2.4
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
6.00
371,320
369,653
363.441
365.115
368,471
370,002
375,158
376,605
376,574
373,963
374,072 '373,204
'377,946
14.13
14.24
14.18
14.02
13.94
14.00
14.12
14.04
14.13
14.16
14.20
14.24
'14.48
* 14.29
3.8
3.8
3.9
4.0
4.1
4.1
4.0
3.9
3.7
3.6
3.5
3.5
3.1
3.2
49.4
43.3
71.4
35.7
35.7
57.1
71.4
50.0
50.0
50.0
57.1
35.7
64.3
50.0
5o!o
28.6
50.0
5o!o
28.6
'50.0
28.6
'21.4
'42.9
20.0
'57.1
'42.9
113.2
111.7
112.1
112.7
113.0
113.1
112.5
113.5
113.5
114.1
114.9
'115.5
'114.8
'116.1
o
o
o
NOTE.-The following current high values were reached before February 1993: May 1991—BCi-106 (2,865.8); August 1991-BCI-92 smoothed (-0.83); December 1991—BCI-62 smoothed (3.0) and BCI-77 (1.65); January 1992—
BCI-120 smoothed (4.2); and December 1992—BCi-51 (3,689.9) and BCI-83 (89.5).
See page C-6 for other footnotes.
4
18.7
"1.52
,1
o
'.3
r
96.0
4_1
19.2
-1.9
'-1.9
6.00
6.06
'373,103 '370,667
3.6
4
50.0
4
'116.8
C-2
•
April 1994
SURVEY OF CURRENT BUSINESS
Year
Series
1993
1994
Series title and timing classification
no.
1993
Feb.
Mar.
Apr.
May
|
June
|
July
Aug.
|
Sept
Oct
|
Nov.
Dec.
Jan.
F*.
| «,,
2. LABOR FORCE, EMPLOYMENT, AND UNEMPLOYMENT
441
442
451
452
453
Labor force:
Civilian labor force, thous. 1
Civilian employment, thous. ]
Civilian labor force participation rates (percent):
Males 20 years and over l
Females 20 years and over 1
Both sexes 16-19 years of age 1
1 •
21 •
5*
Marginal employment adjustments:
Average weekly hours, mfg. (L.L.L)
Average weekly overtime hours, mfg. (L.C.L)
Average weekly initial claims for unemployment
insurance, thous. ( L , C , L ) 2 t
46 •
Job vacancies:
Index of help-wanted advertising, 1967-100 (L,Lg,U)
Ratio, help-wanted advertising to unemployed (L,Lg,U)'
48 •
42
41 •
963
40*
90*
37
43*
45
91 •
44
Employment:
Employee hours in nonagncultural establishments,
bil. hours, AR (U.C.C).
Persons engaged in nonagricultural activities, thous.
(U.C.C) 1 .
Employees on nonagricultural payrolls, thous. (C.C.C) ....
Diffusion index of employees on private nonagricultural
payrolls, 356 industries:
Percent rising over 1-month span
Percent rising over 6-month span
Employees in goods-producing industries, thous. (UC.U)
Ratio, civilian employment to population of working age,
percent (U.Lg.U).
Unemployment:
Number of persons unemployed, thous. (ULg.U) l $
Civilian unemployment rate, percent (L,Lg,U) 1 1
Average weekly insured unemployment rate, percent
(L.Lg.U) 3 *.
Average duration of unemployment, weeks (Lg.Lg.Lg)* $
Unemployment rate, 15 weeks and over, percent
1
128,040 127,400
119,306 118,442
127,440
118,562
127,539
118,585
128,075
119,180
128,056
119,187
128,102
119,370
128,334
119,692
128,108
119,568
128,580
119,941
128,662
120,332
128,898
120,661
130,667
121,971
130,776
122,258
130,580
122,037
76.9
58.4
51.5
76.9
58.2
51.9
76.9
58.2
51.5
76.9
58.2
51.8
77.1
58.4
52.5
77.0
58.5
51.5
77.0
58.4
51.8
77.0
58.5
51.6
76.7
58.4
51.2
77.0
58.6
51.1
76.8
58.7
51.2
76.8
58.9
50.9
77.0
59.3
53.3
76.9
59.5
52.4
76.8
59.3
52.3
41.4
4.1
365
41.4
4.2
349
41.2
4.0
375
41.5
4.2
374
41.4
4.1
387
41.2
4.0
383
41.4
4.0
399
41.4
4.1
371
41.5
4.1
370
41.6
4.3
354
41.7
4.3
336
41.7
4.4
318
41.8
4.4
360
41.2
4.6
338
'42.2
'4.8
327
101
.344
97
.322
96
.322
96
.319
100
.334
97
.325
101
.344
103
.355
101
.352
106
.365
107
.382
110
.397
105
.359
115
.402
'117
'.407
203.97
202.47
202.33
202.78
205.28
203.57
204.05
204.76
204.06
205.26
205.16
205.91
'207.65
' 204.97 '207.23
116,232 115,326
115,463
115,514
116,106
116,156
116,327
116,687
116,475
116,920
117,218
117,565
118,639
118,867
110,178 109,539
109,565
109,820
110,058
110,101
110,338
110,305
110,502
110,664
110,880
111,110
111,079
111,277 '111,733
54.7
57.0
22,975
61.6
59.7
58.3
23,069
61.4
51.0
58.3
23,016
61.4
53.8
57.7
22,980
61.4
56.9
49.7
23,006
61.7
46.5
51.1
22,941
61.6
57.9
52.9
22,948
61.6
44.4
55.9
22,903
61.8
57.2
58.7
22,886
61.6
53.9
57.0
22,934
61.8
61.0
"61.0
22,994
61.9
56.0
'63.9
23,008
62.0
23,024
62.
8,734
6.8
2.6
8,958
7.0
2.5
8,878
7.0
2.5
8,954
7.0
2.6
26
.
8,869
6.9
2.7
8,732
6.8
2.7
8,642
6.7
2.6
8,540
6.7
2.6
8,639
6.7
2.6
8,330
6.5
2.6
8,237
6.4
2.5
8,696
6.7
2.5
8,518
6.5
2.6
8,543
6.5
2.6
18.1
2.4
18.2
2.5
17.7
2.4
17.7
2.3
17.8
2.4
17.8
2.4
17.9
2.3
18.3
2.3
18.4
2.4
18.4
2.4
18.9
2.3
18.2
2.2
18.3
2.3
18.7
2.4
19.2
2.4
(Lg.Lg.Lg) %.
55.8
''57.0
118,611
'61.9
23,018 '23,101
62.2
62.3
3. OUTPUT, PRODUCTION, AND CAPACITY UTILIZATION
50
49
Output:
Gross domestic product, bil. 1987$, AR (C.C.C)
Percent change from previous quarter, AR
Gross national product, bil. 1987$, AR (C,C,C)
Value of domestic goods output, bil. 1987$, AR (C,C,C)
47 4
73*
74*
75*
Industrial production indexes, 1987-100:
Total (C.C.C)
Durable manufactures (C.C.C)
Nondurable manufactures (C.L.L)
Consumer goods (C.L.C)
55*
124
82*
Capacity utilization rates (percent):
Total industry (L,C,U)
Manufacturing (L.C.U)
5,136.0
3.0
5,225.6
7.0
'5,259.0
'2.6
5,223.7
2,130.9
'2,161.0
5,138.6
2,083.8
5,078.2
.8
5,080.7
2,060.2
110.9
114.3
108.6
108.8
109.9
112.1
108.2
108.9
110.0
112.5
108.2
108.9
110.5
113.5
108.7
108.6
110.0
113.2
108.5
107.8
110.4
113.0
108.9
108.1
110.9
113.7
109.1
108.9
111.1
113.9
109.2
108.6
111.3
115.0
108.5
108.5
111.9
116.2
108.8
109.2
112.8
118.0
109.1
109.7
114.0
120.1
' 109.7
110.1
81.5
80.6
80.2
81.2
80.1
81.4
80.6
81.0
802
81.1
80.1
81.3
80.3
81.4
80.3
81.4
80.4
81.7
80.8
82.2
81.5
-82.9
82.3
518,086
147,360
520,538
147,695
523,160
149,968
528,675
150,802
534,561
152,695
5,102.1
1.9
5.138.3
2.9
5,145.8
2,074.9
5,104.1
2.069.1
r
114.4
' 120.4
' 109.6
'110.6
'115.0
'121.3
'110.1
'111.8
'115.6
'121.9
'111.0
'111.5
'83.1
'82.2
83.4
'82.5
'83.6
'82.8
'532,478 '537,128
'150,626 '152,786
'153,164
4. SALES, ORDERS, AND DELIVERIES
57*
59*
7*
8*
92 •
32 •
Sales:
Manufacturing and trade sales, mil. 1987$ (C.C.C)
Sales of retail stores, mil. 1987$ (U.L.U)
Orders and deliveries:
Mfrs.1 new orders, durable goods, bil. 1987$ (L,I_L)
Mfrs.' new orders, consumer goods and materials,
bil. 1987$ (L.L.L).
Mfrs.1 unfilled orders, durable goods, mil. 1987$0
Change from previous month, bil. 1987$
Change from previous month, bil. 1987$, smoothed
(L,L,L)t.
Vendor performance, slower deliveries diffusion index,
percent (L.L.L)*.
6,197,402 '510,300
1,757,913 '142,834
'509,203
'141,543
514,723
145,871
510,834
146,477
507,439
143,700
510,535
144,933
114.50
106.58
111.08
105.35
113.68
106.55
115.01
109.03
117.87
111.43
r
'120.10
112.55
122.20
'114.63
126.96
'116.20
368,404
-1.97
-3.10
366,140
-2.26
-2.92
362,630
-3.51
-2.89
'364,684
'2.05
'-2.21
50.9
50.7
50.7
51.7
55.0
58.8
'123.5
' 6 1 739
'126.1
'125.8
'124.79
'116.82
'126.4
1,381.61
1,304.70
117.19
109.79
112.96
107.23
112.61
106.72
109.77
105.54
362,630
-2.88
-2.87
396,886
-.35
-2.08
390,926
-5.96
-2.18
387,356
-3.57
-2.42
381,879
-5.48
-2.97
378,466
-3.41
-3.35
377,172
-1.29
-3.30
374,775
-2.40
-3.15
370,372
-4.40
-3.23
51.6
53.0
52.5
53.1
51.7
50.2
50.0
51.3
'124.51
'115.30
'363,373 '361,553
'-1.31
'-1.82
'-1.69
'-1.40
55.1
5. FIXED CAPITAL INVESTMENT
12*
13*
Formation of business enterprises:
Index of net business formation, 1967-100 (L.L.L)
Number of new business incorporations (L L L)
10
Business investment commitments:
Contracts and orders for plant and equipment, bil.$
20*
27 4
9*
61
100 •
69*
i\ 1 1 \
Contracts and orders for plant and equipment, bil. 1987$
(L,L,L).
Mfrs.1 new orders, nondefense capital goods, bil. 1987$
HIM
(L,L,L).
Construction contracts awarded for commercial and
industrial buildings, mil. sq.ft.(L.CU)© 4 .
Business investment expenditures:
New plant and equipment expenditures by business
bil.$, AR (C,Lg,Lg)\
New plant and equipment expenditures by business
bil. 1987S.AR (C.Lg.Lg)*.
Mfrs.' machinery and equipment sales and business
construction expenditures, bil.$, AR (C.Lg.Lg).
1212
120.9
59 691
122.0
61 002
121.0
59 648
117.6
51 765
120.8
60422
120.7
58 387
121.1
58209
122.3
63,758
119.2
55294
427.36
36.36
'34.04
33.89
33.25
38.15
33.77
35.63
34.94
36.56
38.78
38.84
40.91
'40.73
'41.40
434.98
36.26
'34.41
34.15
33.96
37.86
34.67
36.38
35.84
37.71
'40.53
39.98
'41.30
'41.39
'42.74
394.44
33.09
30.13
31.18
31.08
34.11
31.47
33.24
32.44
34.49
'37.19
36.76
'37.68
'37.73
'3a54
535.60
40.20
43.22
43.80
42.80
43.43
47.58
44.44
45.34
46.74
47.15
52.36
52.76
49.34
61.83
58564
564.13
55570
533 70
464.32
447.24
54697
465.62
448.70
NOTE.—The following current high values were reached before February 1993: July 1991—BCI-92 change (6.72)
and August 1991—BCI-92 smoothed (-0.83).
See page C-6 for other footnotes.
594.11
579 79
454.96
'604.51
'57682
56528
462.72
442.00
468.37
464.07
469.92
"621.28
a
492.08
513.28
'484.00
595 36
'491.97
'502.18
April 1994 •
SURVEY OF CURRENT BUSINESS
Series
no.
1993
Yoar
C-3
1994
Series title and timing classification
1993
Feb.
Mar.
May
Apr.
| June [
July
[
Aug. | Sept
|
Oct
[
Nov.
| Dec.
Jan.
Feb.
5. FIXED CAPITAL INVESTMENT-Continued
76*
86*
87*
88 •
28*
29*
89*
Business investment expenditures—Continued:
Index of industrial production, business equipment,
1987-100 (C.Lg.U).
Gross private nonresidential fixed investment, bil. 1987$,
AR:
Total (C Lg C)
Structures (La La La)
Producers' durable equipment (C.Lg.C)
Residential construction and investment:
New private housing units started, thous., AR (L.L.L)
Index of new private housing units authorized by local
building permits, 1967-100 (L.L.L).
Gross private residential fixed investment, bil. 1987$, AR
(L.L.L).
134.6
130.0
591.8
151.5
440.2
562.3
148.2
414.1
1,288
96.4
1,194
91.0
214.2
131.5
133.1
211.4
133.9
133.5
134.6
584.3
151 1
433.2
1,092
82.5
1,232
87.8
134.8
136.3
137.7
1,238
88.9
1,245
92.7
206.2
1,319
99.0
'141.8
'143.1
625.7
155.6
470.0
594.8
1512
443.6
1,241
89.4
139.7
1,359
101.4
1,409
104.0
2121
1,406
109.6
144.7
'145.7
'634.1
'148 9
'485.1
1,612
117.7
'1,271
108.3
227.2
'1,314
99.7
'1,473
105.1
'232.2
6. INVENTORIES AND INVENTORY INVESTMENT
70
77*
30 •
31 •
Inventories on hand:
Mfg. and trade inventories, bil. 1987$ (Lg.Lg.Lg)0
Ratio, mfg. and trade inventories to sales in 1987$
(Lg.Lg.Lg).
Inventory investment:
Change in business inventories, bil. 1987$, AR (L.L.L) .
Change in mfg. and trade inventories, bil.$, AR (L,L,L)
810.80
1.56
799.49
1.57
801.86
1.57
803.31
1.58
804.68
1.58
805.35
1.56
806.10
1.58
806.64
1.56
809.45
1.56
14.3
23.9
29.3
-26.1
'53.2
35.1
13.0
24.9
6.8
1.9
6.5
23.7
22.9
812.33
1.54
810.80
1.52
8.5
55.3
809.90
1.55
-13.6
'811.15
1.52
'17.81
'814.34
'1.52
'30.5
'52.3
7. PRICES
99 •
336
337
334
333
•
332
•
331
311
320
323
120 •
Sensitive commodity prices:
Index of sensitive materials prices, 1987-100
Percent change from previous month
Percent change from previous month, smoothed
(L,L,L)t.
Index of producer prices for sensitive crude and
intermediate materials, 1987-100 (L.L.L).
Cattle hides
Lumber and wood products
Wastepaper, news
Wastepaper, mixed, NSA
Wastepaper, corrugated
Iron and steel scrap
Copper base scrap
Aluminum base scrap
Other nonferrous scrap, n.e.c, NSA
Sand, gravel, and crushed stone
Raw cotton
Domestic apparel wool
Index of spot market prices, raw industrial materials,
1967-100, NSA (U.L.L)© 1 *.
Copper scrap, $ per Ib.©
Lead scrap, $ per Ib.©
Steel scrap, $ per ton©
Tin, $ per Ib., NSA©
Zinc, $ per Ib., NSA©
Burlap, $ per yd., NSA©
Cotton, $ per Ib.©
Print cloth, $ per yd., NSA©
Wool tops, $ per Ib.. NSA©
Hides, $ per Ib., NSA©
Rosin, $ per 100 Ib.©
Rubber, % per Ib.©
Tallow, $ per Ib.©
Producer Price Indexes:
Finished goods, 1982-100
Percent change over 1-month span
Percent change over 6-month span, AR
Finished goods less foods and energy, 1982-100
Percent change over 1-month span
Percent change over 6-month span, AR
Finished consumer goods, 1982-100
Percent change over 1-month span
Percent change over 6-month span, AR
Capital equipment, 1982-100
Percent change over 1-month span
Percent change over 6-month span, AR
Intermediate materials, supplies, and components,
1982-100.
Percent change over 1-month span
Percent change over 6-month span, AR
Crude materials for further processing, 1982-100
Percent change over 1-month span
Percent change over 6-month span, AR
Fixed-weighted price index, gross domestic business
product, 1987-100.
Percent change from previous quarter, AR
Consumer Price Indexes for all urban consumers:
All items, 1982-84-100, NSA
Percent change over 1-month span
Percent change over 6-month span, AR
All items less food and energy, 1982-84-100
Percent change over 1-month span
Percent change over 6-month span, AR
Services, 1982-84-100
Percent change from previous month, AR
Percent change from previous month, AR, smoothed
(Lg.Lg.Lg) f.
99.60
-.01
-.26
101.30
-.07
-.15
100.81
-.48
-.18
99.87
-.93
-.30
99.31
-.56
-.40
99.15
-.16
-.43
98.03
-.86
-.48
'97.67
'-.37
'-.50
98.55
'.90
'-.32
'99.48
'.94
'-.05
100.77
-.27
-.43
'1.30
.29
101.25
.48
.52
102.92
1.65
.80
104.42
1.46
1.06
161.88
157.91
161.00
161.06
159.80
159.63
160.26
159.54
161.51
165.78
'169.43
172.97
173.90
172.55
173.03
180.4
174.2
100.7
90.6
142.0
172.8
136.0
129.3
113.9
134.0
92.2
56.5
260.4
175.9
168.1
109.1
86.5
143.6
160.5
160.8
135.4
128.6
132.6
93.5
63.6
270.0
177.0
174.6
110.1
97.5
149.0
157.8
151.6
129.7
125.0
132.6
94.7
57.2
266.9
173.0
177.1
112.5
101.5
147.5
154.6
142.3
123.5
118.4
133.1
89.4
53.5
261.5
175.6
175.1
104.0
107.5
143.3
158.0
131.5
125.1
113.3
132.8
88.3
53.5
257.8
176.8
172.0
104.0
107.4
140.6
170.4
135.4
126.6
113.3
133.3
84.7
55.2
257.1
181.1
170.7
97.2
102.8
140.2
179.1
133.8
130.6
115.0
133.7
85.5
53.4
257.2
179.7
172.1
94.0
80.8
139.4
170.0
130.2
127.5
113.5
133.8
85.7
54.9
255.5
185.9
174.4
93.5
80.4
138.9
171.2
125.1
125.6
107.5
134.8
'90.5
51.7
253.1
184.4
177.7
94.2
80.2
139.0
190.7
119.0
128.7
100.7
136.3
95.9
53.1
255.6
'185.2
'181.3
'94.0
'79.3
'139.9
'202.5
'117.3
'128.1
'98.5
'135.7
97.9
182.7
185.2
91.5
79.2
138.0
207.7
121.2
129.9
103.7
136.3
104.3
58.1
263.7
181.7
186.6
87.8
73.8
136.4
202.7
128.5
131.3
106.6
136.5
114.8
56.7
176.4
181.7
94.5
72.0
153.7
203.8
135.3
141.1
115.4
136.7
124.6
63.2
275.2
178.1
181.5
97.9
75.2
195.0
200.3
136.6
148.7
119.8
136.9
121.4
69.3
279.1
.702
.139
115.553
.864
.157
108.543
.812
.737
.146
105.069
.654
.134
3.312
.800
59.880
.473
.150
.572
.123
138.940
3.225
.466
.256
.607
.750
3.600
.808
56.112
.448
.138
.128
139.625
3.324
3.339
.799
59.238
.450
.147
.578
.118
127.351
3.189
.459
.247
.571
.700
3.450
.815
59.118
.442
.717
3.835
.535
.245
.569
.640
.611
.123
110.402
3.095
.445
.241
.547
.700
3.400
.805
59.940
.447
.142
.696
3.494
.484
.247
.556
.677
.702
.143
104.412
3.703
.494
.245
.532
.655
3.050
.805
60.000
.441
.152
.131
140.201
3.598
.483
.273
.753
.750
3.750
.746
55.944
.447
.156
.747
.130
138.530
3.621
.467
.275
.726
.750
3.900
.788
55.944
.493
.155
124.7
0
.2
124.8
.4
2.9
124.2
124.5
.2
125.1
.5
125.4
.2
135.9
.3
2.8
-.1
-1.0
134.8
-.3
-.7
124.2
-.1
1.8
135.8
0
.3
123.0
0
-.2
131.4
.2
1.8
116.2
124.3
.2
-1.4
135.2
.1
-1.3
'135.3
135.5
M
2.1
136.1
.4
136.3
.1
136.6
.2
122.3
.2
-2.3
131.9
.1
122.4
.1
1.5
131.8
.3
2.0
'116.6
122.1
-.2
1.5
122.3
123.0
.6
123.2
.2
132.2
.3
2.4
133.0
.6
133.1
.1
133.5
.3
1.5
116.3
122.3
0
-1.8
131.4
-.4
2.1
116.4
116.2
116.4
116.9
117.1
0
-.2
• 101.5
.7
-4.6
.1
.2
103.7
2.2
2.0
'.2
1.0
'-.3
1.4
.2
.4
.2
'103.4
'-.3
.8
101.2
'-2.1
5.0
102.5
1.3
101.2
-1.3
104.0
2.8
.1
1.0
102.4
0
.6
.157
108.044
3.779
.496
.245
.562
.652
3.160
.816
59.880
.461
.153
3.738
.504
.245
.540
.650
3.000
.814
.443
.157
125.7
.5
1.3
136.5
.3
1.6
124.3
.6
115.9
125.1
.2
1.9
136.1
.1
2.1
123.6
.2
1.8
131.0
.2
2.3
116.3
.4
2.1
101.6
-.1
4.7
.3
2.1
101.8
.2
3.8
123.3
.4
3.0
130.8
.3
2.6
125.7
0
-1.1
136.8
.2
-1.2
124.2
1.0
-.1
-1.9
131.3
.2
1.8
116.6
131.3
0
1.5
116.3
.3
1.6
103.0
1.2
-.4
-.3
.7
105.2
2.1
-1.6
3.482
.467
.245
.502
.644
3.400
.774
60.000
.440
.148
125.1
-.5
-1.3
136.4
-.3
-1.3
123.5
-.6
-2.1
131.2
.672
.140
119.654
3.395
.470
.245
.509
.640
3.400
.762
60.000
.437
.148
125.1
0
-2.4
136.6
.1
-2.5
-.1
1.4
123.4
-.1
-3.2
131.6
.3
.2
116.3
116.3
0
0
103.6
-1.5
0
-.3
101.5
-2.0
1.4
114.042
3.294
.451
.240
.513
.688
3.400
.792
59.940
.441
.146
124.1
-.8
-2.2
135.1
-1.1
'-2.2
122.1
-1.1
-2.9
131.8
.2
.8
116.3
0
'.5
100.8
-.7
'-3.4
.140
124.3
.1
1.6
r
-4
1.8
.644
.124
140.435
3.286
.492
.265
.644
.750
3.500
.798
56.225
.446
.143
.496
.269
.703
.750
3.500
.756
55.944
.448
124.6
123.5
124.4
125.0
125.7
'126.4
3.0
3.7
2.9
1.9
2.2
'2.4
144.5
.2
2.6
152.2
.3
3.0
143.1
.4
3.1
150.8
.4
3.5
157.9
3.8
3.8
155.6
3.1
3.8
143.6
.2
2.8
151.1
.2
3.5
156.2
4.7
3.9
144.0
.3
2.7
151.6
.3
3.2
156.8
4.7
4.0
NOTE.—The following current high values were reached before February 1993: July 1991—BCI-120 change (5.9);
December 1991—BCI-77 (1.65); January 1992—BCI-120 smoothed (4.2); March 1992—BCI-99 change (1.68); and
July 1992-BCI-23 (285.7).
See page C-6 for other footnotes.
.152
.144
112.183
56.8
258.1
144.4
.1
2.2
144.4
.1
2.2
2.9
157.3
152.3
.2
2.7
157.8
152.6
.2
2.5
3.9
4.1
3.9
4.1
144.2
.2
2.5
152.0
.3
158.2
3.1
4.0
144.8
.3
2.4
153.0
.3
2.8
158.7
145.1
.1
2.6
153.1
.1
2.8
159.1
145.7
.3
2.4
153.5
.3
3.9
3.9
3.1
3.7
3.1
3.6
2.6
159.5
145.8
.3
2.4
154.1
.4
2.6
160.0
3.8
3.5
145.8
.2
2.9
154.4
.2
3.2
160.5
3.8
3.5
146.2
0
146.7
.3
147.2
.3
154.6
.1
155.0
.3
155.5
.3
160.6
.8
3.1
161.3
5.4
3.2
162.0
5.3
3.6
C-4
Series
no.
SURVEY OF CURRENT BUSINESS
• April 1994
Year
1993
1994
Series title and timing classification
1993
Mar.
Feb.
|
Apr.
|
May
|
June
|
July
|
Aug.
Sept
Oct
Nov.
Jan.
Dec.
Feb.
|
Mar.
8. PROFITS AND CASH FLOW
16*
18 •
22*
81 •
26 •
35
Profits and profit margins:
Corporate profits after tax, bil.$, AR (L.L.L)
Corporate profits after tax, bil. 1987$, AR (L.L.L)
Ratio, corporate domestic profits after tax to corporate
domestic income, percent (L.L.L).
Ratio, corporate domestic profits after tax with IVA and
CCAdj to corporate domestic income, percent(U,L,L).
Ratio, implicit price deflator to unit labor cost, all
persons, nonfarm business sector.1982-100 (L.L.L).
Corporate net cash flow, bil. 1987$, AR (L.L.L)
275.4
233.9
7.2
272.3
230.7
7.2
258.9
219.2
6.9
'295.9
' 252.8
7.8
274.3
232 7
7.0
7.8
•
7.3
7.6
7.9
'8.4
104.3
103.9
103.8
104.3
105.3
496.2
477.8
490.2
498.2
' 518.6
9. WAGES, LABOR COSTS, AND PRODUCTIVITY
Wages and compensation:
Index of average hourly compensation, all employees,
nonfarm business sector, 1982-100.
Percent change from previous quarter, AR
Index of real average hourly compensation, all
employees, nonfarm business sector, 1982-100.
Percent change from previous quarter, AR
Wages and salaries in mining, mfg., and construction,
bil.1987$,AR(C,C,C).
345
346
53*
63
62*
370
•
358
Unit labor costs:
Index of unit labor cost, all persons, business sector,
1982-100 (Lg.Lg.Lg).
Index of labor cost per unit of output, mfg., 1987-100 a .
Percent change from previous month, A R !
Percent change from previous month, AR, smoothed
{Lg,Lg,Lg) f t.
Productivity:
Index of output per hour, all persons, business sector,
1982-100.
Percent change over 1-quarter span, AR
Percent chanae over 4-auarter SDan AR
Index of output per hour, all persons, nonfarm business
sector, 1982-100.
158.7
157.2
157.9
159.4
160.5
3.6
106.0
2.9
106.0
1.7
105.6
3.9
2.8
106.1
.5
592.5
-1
581.7
136.8
136.4
109.1
-3.6
-2.5
109.6
-3.2
-3.6
117.6
116.6
116.6
117.6
1.8
-1.6
1.3
114.8
0
2.1
1147
3.3
6.9
1158
117.5
115.7
578.8
109.6
0
-3.9
-1.4
596.0
596.3
109.3
-3.2
-4.0
106.1
592.8
594.7
109.1
-3.2
-2.9
109.0
-1.1
-2.5
2.0
595.2
596.9
596.9
109.3
3.4
-.8
108.7
-6.4
-.9
137.4
137.3
109.4
1.1
-3.3
109.0
0
-1.8
-.2
598.8
600.8
' 602.1
'604.3
" 604.2
107.7
-5.4
-2.5
' 107.9
'2.3
'-2.4
'108.0
'1.1
'-1.9
" 107.6
"-4.4
'-1.9
136.1
108.2
-5.4
-1.6
119.6
10. PERSONAL INCOME AND CONSUMER ATTITUDES
52
51 •
Personal income:
Personal income bil. 1987$ AR (CCC)
Personal income less transfer payments, bil. 1987$, AR
(C.C.C).
58
Indexes of consumer attitudes:
Consumer sentiment, U. of Michigan, 1966:1-100, NSA
n i i \(Pi 2
83 •
122
123 •
Consumer expectations, U. of Michigan, 1966:1-100,
NSA(L,L,L)© 2 .
Consumer confidence, The Conference Board, 1985-100
(L.LL).
Consumer expectations, The Conference Board,
1985-100 (L.LL)*.
4,236.9
3,519.7
4,156.1
3,449.3
4,181.2
3,471.1
4,228.2
3,517.7
4,236.5
3.524.3
4,227.9
3,511.7
4,217.8
3,499.1
4.264.0
3.542.3
4,267.1
3,544.2
4,283.6
3,559.7
4,302.3
3.578.2
4.327.7
3.597.4
'4.297.7
'3.562.8
'4,354.6
'3,618.8
"4,366.7
"3,632.6
82.8
86.6
85.9
85.6
80.3
72.8
80.6
75.8
76.4
68.5
81.5
77.0
77.3
77.9
82.7
81.2
88.2
94.3
93.2
91.5
70.4
64.7
65.8
66.8
72.5
70.3
78.8
86.4
83.5
65.9
68.5
63.2
67.6
85.1
61.9
58.6
59.2
59.3
63.8
60.5
71.9
79.8
82.6
79.9
77.4
84.7
77.3
81.1
86.7
73.1
69.6
66.8
66.8
72.8
66.7
80.3
91.8
92.6
84.4
92.6
780.2
762.0
766.9
177.9
-262.8
11. SAVING
290
295
292
298*
293*
Gross saving, bil.$, AR
Business saving, bil.$, AR
Personal saving, bil.$, AR
Government surplus or deficit, bil.$, AR .
Personal saving rate, percent
794.9
189.9
-224.6
4.0
766.7
779.6
208.7
-221.5
4.4
3.9
774.3
809.0
179.7
-214.4
3.8
'817.8
'824.1
193.4
-199.7
4.0
* 182.0
"3.7
12. MONEY, CREDIT, INTEREST RATES, AND STOCK PRICES
85*
102 •
105
106 •
107
108
93
94
112 •
113 •
111
110 •
14
39
Money:
Percent change in
Percent change in
Monev SUDDIV M1
Monev SUDDIV M2
money supply M1 (L,L,L)*
money supply M2 (L,C,U)
bil 1987$ ( L L U
bil. 1987$ ( L L U
Velocity of money:
Ratio gross domestic product to money suppy M1
(C.C.C).
Ratio, personal income to money supply M2 (C.Lg.C) ....
Bank reserves:
Free reserves mil $ NSA (LU U) t
Member bank borrowings from the Federal Reserve,
mil.$, NSA (L,Lg,U).
Credit flows:
Net change in business loans, bil.$, AR (L.L.L)
Net change in consumer installment credit, bil.$, AR
(LLL).
Percent change in business and consumer credit
outstanding, AR (LLL).
Funds raised by private nonfinancial borrowers in credit
markets mil.$ AR (LL L).
Credit difficulties:
Current liabilities of business failures, mil.$, NSA
(LLL)*.
Percent of consumer installment loans delinquent 30
days and over (L,L,L)© 3 0$.
.81
.13
848.9
2,774.0
.23
-.25
822.4
2,775.4
5.912
.83
.19
847.7
2,778.5
.95
.14
854.4
'2,778.0
1.528
1.523
1.518
1,023
73
875
121
730
181
45.11
24.74
64.40
-22.80
12.50
25.62
6.043
1.528
1.97
.68
841.4
2,775.3
.66
.09
827.1
2,763.0
1.502
1.513
1.534
.89
.22
866.1
' 2 777.1
.75
'.04
869.8
2 769.6
1.536
1.535
1.545
901
180
1,059
45
1,122
91
845
244
600
352
662
428
1.09
48.99
18.70
43.74
-72.79
34.84
58.39
60.44
2.05
60.47
-.43
72.84
396,874
225.244
48,504.3
'2,630.0
"4,343.0
"2,973.4
"6.634.4
"2,675.4
"5,496.4
"7,382.0
"3,062.6
"2,222.1
1.77
2.39
2.31
2.01
2.16
2.06
2.08
2.03
1.95
1.93
369.424
.81
.31
874.1
2 769.6
'.53
.19
876.8
2,768.5
.45
'.18
'880.7
'2,773.4
1.550
1.557
'1.541
1.570
"1.573
804
285
1,012
89
981
82
1.375
73
1,070
70
"912
"55
-22.73
84.56
-2.98
83.28
'-34.44
90.25
'88.24
'76.51
'-58.30
"42.52
"-11.64
"2,991.0
"2,552.3
"1,736.4
"2,141.3
1.86
1.77
5.837
5.948
NOTE.-The following current high values were reached before February 1993: May 1991-BCI-106 (2,865.8); July
1991-BCI-93 (345); August 1991—BCI-94 (764); December 1991—BCI-62 index (113.0) and BCI-62 smoothed (3.0);
October 1992—BCI-111 (3.0); and December 1992—BCI-51 (3.689.9), BCI-52 (4,391.8), BCI-53 (659.1), BCI-62
.78
.06
859.1
2 773.1
.46
.02
824.2
2,769.3
5.820
481,616
.45
'-.10
'882.6
'2,764.3
"5.807
"511,212
change (13.8), BCI-83 (89.5), and BCI-123 (103.9).
See page C-6 for other footnotes.
".33
".43
"882.8
" 2 767.5
April 1994
SURVEY OF CURRENT BUSINESS
Series
no.
Year
1993
•
C-5
1994
Series title and timing classification
1993
Feb.
Apr.
Mar.
May
June
|
July
|
Aug.
|
Sept
|
Nov.
Oct
Dec.
Jan.
Feb.
Mar.
12. MONEY, CREDIT, INTEREST RATES , AND STOCK PRICES-Continued
Outstanding debt:
Consumer installment credit outstanding, mil.$
66
72
101 •
95 4
119 •
114 •
116 •
115 •
117
118
109*
19*
(Lg.Lg.Lg) 0.
Commercial and industrial loans outstanding, mil.$,
(Lg.Lg.Lg).
Commercial and industrial loans outstanding, mil. 1987$
(Lg.Lg.Lg).
Ratio, consumer installment credit outstanding to
personal income, percent (Lg.Lg.Lg).
Interest rates (percent, NSA):
Federal funds rate (L.Lg.Lg)*
Discount rate on new 91-day Treasury bills (C.Lg.Lg)* ...
Yield on new high-grade corporate bonds (Lg.Lg.Lg)*
Yield on long-term Treasury bonds (C.Lg.Lg)*
Yield on municipal bonds, 20-bond average (U.Lg.Lg)* ...
Secondary market yields on FHA mortgages (Lg.Lg.Lg) .
Average prime rate charged by banks (Lg.Lg.Lg)*
Index of stock prices, 500 common stocks, 1941-43-10,
NSA (L,L,L)\
790,082
747,228
750,131
752,193
750,293
752,428
757,465
762,503
768,573
775,620
782,561
790,082
429,399
425,840
419,774
423,533
428,900
429,942
434,808
434,979
434,943
433,049
432,801
'429,931
'437,284
'432.426 '431,456
371,320
369,653
363,441
365.115
368,471
370,002
375,158
376,605
376,574
373,963
374,072 '373,204
'377,946
'373,103 '370,667
14.13
14.24
14.18
14.02
13.94
14.00
14.12
14.04
14.13
14.16
14.20
14.24
' 14.48
' 14.29
3.02
3.02
7.35
6.46
5.60
7.46
6.00
3.03
2.95
7.73
6.89
5.87
7.55
6.00
3.07
2.97
7.39
6.65
5.64
7.57
6.00
2.96
2.89
7.48
6.64
5.76
7.56
6.00
3.00
2.96
7.52
6.68
5.73
7.59
6.00
3.04
3.10
7.48
6.55
5.63
7.52
6.00
3.06
3.05
7.35
6.34
5.57
7.51
6.00
3.03
3.05
7.04
6.18
5.45
7.02
6.00
3.09
2.96
6.88
5.94
5.29
7.03
6.00
2.99
3.04
6.88
5.90
5.25
7.08
6.00
3.02
3.12
7.22
6.25
5.47
7.51
6.00
2.96
3.08
7.28
6.27
5.35
7.52
6.00
3.05
3.02
7.16
6.24
5.31
7.05
6.00
3.25
3.21
7.27
6.44
5.40
7.59
6.00
3.34
3.52
7.64
6.90
5.91
8.57
6.06
451.41
441.70
450.16
443.08
445.25
448.06
447.29
454.13
459.24
463.90
462.89
465.95
472.99
471.58
463.81
11,785
6,598
74.0
11359
6,446
73.7
5,304
72.7
5,172
72.5
5,239
'71.5
10,247
7,738
'70.9
' 9,343
'6,133
'69.6
'5,107
'69.1
933
929
922
912
899
890
'884
'292 8
42,234
3,777
8,935
49,601
3,406
6,943
'39,306
3,497
8,435
'49,475
2,951
6,212
37,899
3,118
8,363
50,262
3,895
6,801
'114.4
'115.0
'107
107
107
114.0
107
108.0
'107
106
'106
106.9
'105.1
'104.6
'105.1
'104.5
146.2
146.7
118.6
118.7
118.7
' 796,458 p 800,000
13. NATIONAL DEFENSE
525
548
557
570
564*
Defense Department prime contract awards, mil.$
Manufacturers' new orders, defense products, mil.$
Index of industrial production, defense and space
equipment, 1987-100.
Employment, defense products industries, thous
Federal Government purchases, national defense, bil.$, AR
9,579
6,361
77.9
11,628
7,411
76.8
10,231
6,853
76.9
950
992
982
975
303.4
304.8
76,649
74.8
9,317
5,434
75.6
10,169
5,788
74.9
9,656
7,231
74.6
964
954
943
307 6
299.2
301 9
14. EXPORTS AND IMPORTS
602
604
606
612
614
616
618 •
620*
622
Exports, excluding military aid shipments, mil.$
Exports of domestic agricultural products, mil.$
Exports of nonelectrical machinery, mil.$
General imports, mil.$
Imports of petroleum and petroleum products, mil.$
Imports of automobiles and parts, mil.$
Merchandjse exports, adjusted, excluding military, mil.$'
Merchandise imports, adjusted, excluding military, mil.$*
Balance on merchandise trade, mil.$ 1
464,980
41,807
99,711
580,511
49,926
80,672
456,766
589,244
-132,478
36,928
3,424
8,090
44,832
4,387
6,811
38,894
3,357
8,371
49,347
4,813
7,048
38,479
3,498
8,119
48,660
4,958
6,945
38,930
3,470
8,231
37,639
3,537
8,094
37,109
3,405
8,169
47,306
4,342
6,619
4,651
6,819
47,534
4,149
6,090
113,067
147,465
-34,398
111,480
140,805
-29,325
38,050
3,350
8,513
48,097
3,745
6,691
38,885
3,540
8,322
49,506
3,759
6,861
40,092
3,565
111,935
147,907
-35,972
40,236
3,458
8,655
49,914
50,990
3,613
6,880
120,284
153067
'153,067
'-32,783
15. INTERNATIONAL COMPARISONS
47*
721 •
728*
725*
726 •
722 •
727 •
723 •
320
738
•
735
736
732
737
733*
19*
748*
745*
746*
742 •
747 •
743 •
Industrial production indexes (1987-100):
United States
OECD, European countries 2
japan
Federal Republic of Germany
France
United Kingdom
Italy
Canada
Consumer price indexes (1982-84-100):
United States, NSA
Percent change over 6-month span,
Japan, NSA
Percent change over 6-month span,
Federal Republic of Germany, NSA
Percent change over 6-month span,
France, NSA
Percent change over 6-month span,
United Kingdom, NSA
Percent change over 6-month span,
Italy, NSA
Percent change over 6-month span,
Canada, NSA
Percent change over 6-month span,
110.9
107
111.7
107
107
105
104.4
103.2
AR
AR
125.6
AR
AR
AR
AR
AR
Stock price indexes (1967-100, NSA):
United States*
Japan*
Federal Republic of Germany*
France*
United Kingdom*
Italy*
Canada*
758*
755*
756*
752*
757 •
753*
Exchange rates:
Exchange value of U.S. dollar, index: March 1973-100,
NSA^*.
Foreign currency per U.S. dollar (NSA):
Japan (yen)*
Federal Republic of Germany (d. mark)*
France (franc)*
United Kingdom (pound)*
Italy (lira)*
Canada (dollar)*
990*
991 •
CIBCR long-leading composite index, 1967-100 4
CIBCR shorWeading composite index, 1967-100 4
750 •
144.5
2.6
118.5
109.9
107
113.5
106
108
104
106.8
101.7
143.1
3.1
117.4
1.0
124.3
110.0
107
116.5
'107
107
103
105.2
'103.2
143.6
2.8
117.7
1.0
124.7
4.6
143.1
2.6
163.7
.7
184.0
4.1
147.3
.3
3.5
143.5
1.9
165.3
1.9
186.4
4.5
142.4
2.7
163.1
.9
4.2
147.9
1.1
3.8
147.4
491.0
480.5
1,171.5
291.9
908.6
1,324.5
528.2
1,351.0
534.4
390.0
93.18
183.6
1.1
110.5
105
113.4
'106
106
104
100.7
102.2
144.0
2.7
118.5
2.6
125.1
3.8
143.2
2.1
165.2
2.7
184.7
4.6
147.3
1.0
110.0
107
110.6
107
106
105
105.1
'102.0
110.4
106
112.5
107
106
104
102.8
103.7
110.9
107
111.9
106
107
106
105.1
102.7
111.1
107
110.9
108
107
106
103.4
103.5
111.3
107
113.3
108
'107
106
103.1
104.4
111.9
108
107.4
107
106
107
105.3
'104.4
144.2
2.5
118.6
144.4
2.2
118.5
2.0
125.7
2.9
143.4
1.3
165.7
2.3
186.4
5.0
147.6
2.1
144.4
144.8
2.4
119.2
1.0
126.0
2.9
143.5
145.1
2.6
119.3
.5
126.1
2.7
144.0
145.7
2.4
119.2
-.2
126.4
2.9
144.3
145.8
2.4
118.5
-.5
126.7
145.8
126.9
"i28.0
3.4
144.4
3.5
144.3
144.5
1.7
166.0
1.8
166.7
1.5
166.6
2.0
187.2
4.5
148.1
2.2
2.6
187.5
3.8
148.2
2.6
2.4
188.6
3.8
148.4
1.8
166.4
2.4
189.5
3.4
149.1
1.5
-.9
1.7
166.7
2.2
189.5
3.5
148.8
-1.6
494.0
1,509.9
448.3
325.3
1,021.0
1,404.6
634.6
467.5
499.6
1,504.5
322.8
1,006.6
1,412.4
633.2
450.9
504.6
1,489.2
337.9
1,047.2
1,438.9
617.1
480.9
503.5
1,380.9
345.9
1,023.6
1,429.9
575.1
472.3
362.9
1,111.7
1,507.5
622.9
488.3
2.7
125.5
3.2
143.5
1.5
165.8
2.3
185.4
5.1
147.6
1.4
2.2
118.8
1.0
126.0
2.7
143.5
1.5
165.3
2.3
187.1
4.7
148.0
1.9
486.6
112.8
108
109.8
109.1
'105
'106
'107
'115.6
'107
102.5
2.9
""i28J
144.9
"i67"4
""166.6
190.6
128.7
"i45"2
191.4
............
"i9T8
""14&8
484.3
1,471.1
286.1
902.3
407.1
482.0
1,409.7
293.6
'938.8
1,324.5
544.0
428.2
1,324.5
575.4
437.4
487.4
1,462.1
293.3
907.8
1,339.0
559.7
448.2
93.82
93.65
90.62
90.24
91.81
94.59
94.32
92.07
93.29
95.47
95.73
96.54
95.79
94.35
111.08
1.6545
5.6669
.6662
1,573.41
1.2902
120.76
1.6414
5.5594
.6947
1,550.43
1.2602
117.02
1.6466
5.5944
.6841
1,591.35
1.2471
112.41
1.5964
5.3984
.6474
1,536.14
1.2621
110.34
1.6071
5.4180
.6461
1,475.66
15698
107.41
1.6547
5.5700
.6630
1,505.05
1.2789
107.69
1.7157
5.8464
.6687
1,586.02
1.2820
103.77
5.9298
.6705
1,603.75
1.3080
105.57
1.6219
5.6724
.6558
1,569.10
1.3215
107.02
1.6405
5.7541
.6656
1,600.93
1.3263
107.88
1.7005
5.9069
.6753
1,666.31
1.3174
109.91
1.7105
5.8477
.6706
1,687.17
1.3308
111.44
1.7426
5.9207
.6701
1,699.45
1.3173
106.30
1.7355
5.8955
.6760
1,685.96
1.3424
105.10
1.6909
5.7647
.6703
1,666.63
1.3644
259.0
224.1
257.6
223.1
259.1
226.2
261.1
226.5
263.0
'230.0
266.5
229.6
'266.1
'232.4
'267.2
233.8
'265.9
'237.1
1,380.4
312.2
969.7
1,373.6
575.2
441.1
489.7
1,233.8
296.8
945.8
1,468.4
311.6
954.3
1,323.9
579.9
506.9
1,306.9
514.5
504.5
513.0
1,374.5
1,444.0 '1,467.7
374.1
372.7
'374.0
'1,146.0 '1,141.6 '1,096.0
1,582.8
1,582.2 '1,526.4
646.5 " 6 9 9 . 6
'696.5
514.7
489.2
499.9
16. ALTERNATIVE COMPOSITE INDEXES
See footnotes on page C-6.
257.9
222.4
255.1
221.9
256.3
'219.5
257.9
223.1
258.6
222.2
258.9
223.6
C-6 • April 1994
SURVEY OF CURRENT BUSINESS
FOOTNOTES FOR PAGES C-l THROUGH C-5
a
AR
c
©
e
*
Anticipated.
Annual rate.
Corrected.
Copyrighted.
Estimated.
Later data listed in notes.
NSA
P
r
•
§
0
Not seasonally adjusted.
Preliminary.
Revised.
Graph included for this series
Major revision—see notes.
End of period.
L,C,Lg,U Cyclical indicator series are classified as L (leading), C (coincident), Lg (lagging), or U (unclassified) at reference cycle peaks, troughs, and overall. Series classifications
are shown in parentheses following the series titles.
t Cyclical indicator series denoted by t are inverted (i.e., the sign is reversed) for cyclical analysis calculations, including classifications, contributions to composite indexes,
and current high values,
t Cyclical indicator series denoted by t are smoothed by an autoregressive-moving-average filter developed by Statistics Canada.
For information on composite indexes and other concepts used in this section, see "Business Cycle Indicators: Upcoming Revision of the Composite Indexes" in the October
1993 SURVEY OF CURRENT BUSINESS and 'The Composite Index of Coincident Indicators and Alternative Coincident Indexes" in the June 1992 SURVEY.
References to series in this section use the prefix "BCI-" followed by the series number. Unless otherwise noted, series are seasonally adjusted.
Percent change data are centered within the spans: 1-month changes are placed in the ending month, 3-month changes are placed in the 3d month, 6-month changes are
placed in the 4th month, 1-quarter changes are placed in the ending quarter, and 4-quarter changes are placed in the 3d quarter.
Diffusion indexes are defined as the percent of components rising plus one-half of the percent of components unchanged. Diffusion index data are centered within the spans:
1-month indexes are placed in the ending month and 6-month indexes are placed in the 4th month.
High values reached by cyclical indicators in *he expansion following the last reference cycle trough (March 1991) are shown in boldface type; high values reached prior to the
period shown in the table are listed at the bottom of each page. For inverted series, low values are indicated as highs.
Sources for series in this section are shown on pages C-30 and C-31.
Page C-1
Page C-3
* Preliminary April 1994 values: BCI-32 = 57.6, BCI-19 = 447.23, and BCI-109 = 6.34.
1. Data include initial claims made under the July 1992 Emergency Unemployment Compensation
amendments. Data exclude Puerto Rico, which is included in figures published by the source agency.
2. Copyrighted. This series may not be reproduced without written permission from the University
of Michigan, Survey Research Center, P.O. Box 1248, Ann Arbor, Ml 48106-1248.
3. Excludes BCI-57, for which data are not available.
4. Excludes BCI-77 and BCI-95, for which data are not available.
5. Data beginning January 1994 are based on the revised Current Population Survey and are not
directly comparable with data for earlier periods.
6. The wages and salaries portion of this series has been adjusted to smooth yearend 1992 bonus
payments that are in the revised national income and product accounts data. The bonus payments were
too large to be adequately dealt with by the autoregressive-moving-average filter used to smooth this
series.
* Preliminary April 1994 value: BCI-23 = 280.9.
1. Copyrighted. This series may not be reproduced without written permission from Knight-Ridder
Financial Publishing, 30 South Wacker Drive, Suite 1820, Chicago, IL 60606.
Page C-2
* Preliminary April 1994 values: BCI-32 = 57.6; anticipated 2d quarter 1994 values: BCI-61 = 624.99
and BC1-100 = 601.46.
1. See footnote 5 for page C-1.
2. Data include initial claims made under the July 1992 Emergency Unemployment Compensation
amendments. Data exclude Puerto Rico, which is included in figures published by the source agency.
3. Data exclude Puerto Rico, which is included in figures published by the source agency.
4. Copyrighted. This series may not be reproduced without written permission from McGraw-Hill
Information Systems Company, F.W. Dodge Division, Paramount Plaza, 13th Floor, 1633 Broadway,
New York, NY 10019.
Page C-4
* Preliminary April 1994 values: BCI-122 = 91.7, BCI-123 = 95.6, and BCI-85 = 0.12.
1. See footnote 6 for page C-1.
2. Copyrighted. This series may not be reproduced without written permission from the University
of Michigan, Survey Research Center, P.O. Box 1248, Ann Arbor, Ml 48106-1248.
3. Copyrighted. This series may not be reproduced without written permission from the American
Bankers Association, 1120 Connecticut Avenue, NW, Washington, DC 20036.
Page C-5
* Preliminary April 1994 values: BCI-119 = 3.55, BCI-114 = 3.70, BCI-116 = 7.94, BCI-115 = 7.28,
BCI-117 = 6.25, BCI-109 = 6.34, BCI-19 (1941-43=10) = 447.23, BCI-19 (1967=100) = 486.5, BCI-748
= 1,452.0, BCI-745 = 388.2, BCI-746 = 1,071.4, BCI-742 = 1,501.9, BCI-747 = 802.5, BCI-743 = 482.2,
BCI-750 = 94.77, BCI-758 = 103.80, BCI-755 = 1.7069, BCI-756 = 5.8433, BCI-752 = 0.6777, BCI-757
= 1,633.34, and BCI-753 = 1.3844.
1. Balance of payments basis: Excludes transfers under military grants and Department of Defense
sales contracts (exports) and Department of Defense purchases (imports).
2. Organisation for Economic Co-operation and Development.
3. This index is the weighted-average exchange value of the U.S. dollar against the currencies of
the other G-10 countries plus Switzerland. Each country is weighted by its 1972-76 global trade. For a
description of this index, see the August 1978 Federal Reserve Bulletin (p. 700).
4. This index is compiled by the Center for International Business Cycle Research (CIBCR), Graduate
School of Business, Columbia University, New York, NY 10027.
Notes for Pages C-7 Through C-27
The following notes explain general features of the charts that appear in this section:
• Business cycle peaks (P) and troughs (T), as designated by the National Bureau of Economic
Research, Inc., are indicated at the top of each chart. The shaded areas represent recessions.
• For each series classified as a cyclical indicator, the timing classifications at peaks, at
troughs, and overall are shown in a box adjacent to the title. (L = leading, C = coincident, Lg =
lagging, U = unclassified.) A complete list of series titles and sources is shown on pages C-30
and C-31.
• Arithmetic scales are designated "Scale A." On the same arithmetic scale, equal vertical
distances represent equal differences in data. (For example, the vertical distance from 10 to 15
is the same as the distance from 100 to 105.)
• Logarithmic (log) scales are designated L-1, L-2, or L-3 to indicate their relative size. On
log scales of the same size, equal vertical distances represent equal percentage changes. (For
example, the vertical distance from 10 to 15 is the same as the distance from 100 to 150.)
Compared with an L-1 scale, the same percentage change covers half the distance on an L-2
scale and one-third the distance on an L-3 scale.
• Data are monthly unless otherwise indicated. Quarterly data are indicated by a "Q" following
the series title.
• Some series include a centered moving average, which is shown as a heavy line
superimposed on the actual monthly data.
• Parallel lines across a plotted series indicate a missing data value, change in definition, or
other significant break in continuity.
• The box near the end of each plotted series indicates the latest data month (Arabic numeral)
or quarter (Roman numeral) shown or, for series computed over a span of time (diffusion indexes
and rates of change), the latest data period used in computing the series.
April 1994 •
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Composite Indexes
Aug. Apr.
P T
Apr. Feb.
P T
Dec. Nov.
P T
Nov. Mar.
P T
Jan. July July Nov.
PT P T
July Mar.
PT
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
NOTE—Trie numbers and arrows indicate length of leads (-) and lags (+) in months from business
cycle turning dates. Current data for these series are shown on page C-1.
C-7
C-8
• April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Composite Indexes: Rates of Change
Aug. Apr.
PT
Apr. Feb.
p T
Dec. Nov.
P T
Nov. Mar.
P
T
Jan. July July Nov.
PT
P
T
Composite Indexes: Diffusion
mponents rising over 6-nnth span
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
NoTi.—Current data for these series are shown on page C-1.
SURVEY OF CURRENT BUSINESS
April 1994 •
CYCLICAL INDICATORS
Composite Indexes: Leading Index Components
Aug. Apr.
P T
Jan. July July Nov
PT
P
T
Apr. Feb.
P T
,! al e I B r a m s (housa ids—111
5. Ave "age w sekly 1 utial c
M: nufac urers
utexdercent
I.
I.
• ... I
I
I
I
I... ...I
fc.i...l
I
U , . ..itwft.
...I
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
NOTE.—Current data for these series are shown on page C-1.
C-9
C-10
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Composite Indexes: Leading Index Components—Continued
Aug. Apr.
P T
Apr. Feb.
P T
Jan. July July Nov
PT
P T
29. N ew pit ate housiHunits aithOtfAdbyhcalbiildi
Cf ange i1 man
smoo hed1 Ml. lol
lied ordectft 1987 dollar!
99. Change i
I
I,,.],,,I
I
l.,,l...l:'... ,,,!
I
I
I,,Si,,
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
1. This series is smoothed by an autoregressive-moving-average filter developed by Statistics Canada.
2. This is a copyrighted series used by permission; it may not be reproduced without written permission
from the University of Michigan, Survey Research Center.
NOTE.—Current data for these series are shown on page C-1.
SURVEY OF CURRENT BUSINESS
April 1994
CYCLICAL INDICATORS
Composite Indexes: Coincident Index Components
Aug. Apr.
P T
Apr. Feb.
P T
Dec. Nov.
P T
Nov. Mar.
P
T
Jan. July July Nov.
PT
P
T
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
NOTE.—Current data for these series are shown on page C-1.
•
C-ll
C-12
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Composite Indexes: Lagging Index Components
Aug. Apr.
PT
Apr. Feb.
PT
1957 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 931994
1. This series is smoothed by an autoregressive-moving-average filter developed by Statistics Canada.
NOTE.—Current data for these series are shown on page C-1.
April 1994 •
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Employment and Unemployment
Jan. July
P T
July
P
July Mar.
P T
Nov.
T
oducinc mdustn JS (millic
1966 6 7 6 8
69 70 7 1 7 2 7 3
74 75 7 6 7 7 7 8 7 9 8 0
NOTE.—Current data for these series are shown on page C-2.
8 1 8 2 8 3 8 4 8 5 8 6 8 7 8 8 8 9 9 0
9 1 9 2 9 3
1994
C-13
C-14
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Output, Production, and Capacity Utilization
Dec. Nov.
P T
Nov. Mar.
P
T
Jan. July July Nov.
P T
P
T
July Mar.
P T
56005200-
iross da nestle pi oduct 1987 dol §s, O f pirate,
48004400400036003200130120110100-
74. Indus trial proi luction, i ondurat le manui actures (Index
90-
s
7060-
I. Industlli production, durable majnufacturps (index
C.CC
50-'
120-
75. Indu: (trial pro iuction
11010090807060-
32. Capacity utilization rat manufi during percent)
90807060-
, 1 1I 111
1 11I 111
..il,,,
, , , ! , , ,
1 , , l
I
1I , 1 ,
ml,,,
,,,1
.I,,,
, , 1I
I 111
1 i . l .
, ,
1
,11
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 1994
NOTE.—Current data for these series are shown on page C-2.
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Sales and Orders
Dec. Nov.
P
T
ooc s industiies (bit. < lol.)
Wages and Consumer Attitudes
, m mufactui ing, and
123p|puir|er expectations
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
NOTE—Current data for these series are shown on pages C-2 and C-4.
90
91 92
93 1994
•
C-15
C-16
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Fixed Capital Investment
Dec. Nov.
P
T
12. Net jusiness formatic
160140120100-
706050403020J
504030-
20-
10 J
100806040-
I. . . . .. I. .
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
1. This is a copyrighted series used by permission: it may not be reproduced without written
permission from McGraw-Hill Information Systems Company, F.W. Dodge Division.
90
91
MOTE.—Current data for these series are shown on page C-2.
92
93 1994
<o
To
SURVEY OF CURRENT BUSINESS
April 1994 •
CYCLICAL INDICATORS
Fixed Capital Investment—Continued
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
1. Dotted line represents anticipated expenditures.
NOTE.—Current data for these series are shown on pages C-2 and C-3.
90
91
92
93 1994
C-17
C-18
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Fixed Capital Investment—Continued
Dec. Nov.
P
T
I ew priva :e housi
vi te reside ntial fix
ve9tt»ntini9e7dollas
Inventories and Inventory Investment
manufactu
dol.; 6-
anaflaae inventories
mams^vg.)
,,
l
I,,, ...I,,, „ , I , , , « ) : ,
I
I,,, ..i, I , ,fe.,..,.,.I ,,, ,,!,,
1966 6 7 6 8 6 9 7 0 71 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 8 0 81 8 2 8 3 8 4 8 5 8 6 8 7 8 8
NOTE.—Current data for these series are shown on page C-3.
90
91
92
93 1994
April 1994 •
SURVEY OF CURRENT BUSINESS
C-19
CYCLICAL INDICATORS
Prices and Profits
Nov.
P
Dec. Nov.
P
T
Mar.
T
Jan. July
P T
July
P
July Mar.
P T
Nov.
T
23. Spot martcetf rices
400-1
350300250-
200150-
J
100
18.
350-
ra e profits after taxte1987*4 JM&rs, G (ann. ra e, bil. do
300250200-
150-
16. Corporal ^profits &ti|r tax in currer t dollars Q (ann,
iol.)
100-
50
22. Rati)
J
dona &e prof its after tax to cor sorate d mestic
1412108-
S
CO
42-
corporj te domeitictocorie, Q (pe rcent)
26. Rati 0, implic tprice 4 iflator to| unit lab( r cost, nonfarm tusiness
sec or, Q (intex:198; =100)
IV
i
1966 67
68 69
70
71 72
73 74 75 76
_L
77 78 79
IVA Inventory valuation adjustment. CCAdj Capital consumption adjustment.
NOTE.—Current data for these series are shown on pages C-3 and C-4.
80 81
82 83
84 85
86 87 88
90
91
92
93 1994
1. From June 1981 forward, this is a copyrighted series used by permission; it may not be
reproduced without written permission from Knight-Ridder Financial Publishing.
10610410210098-
C-20
•
April 1994
SURVEY OF CURRENT BUSINESS
CYCLICAL INDICATORS
Money, Credit, and Interest Rates
Jan. July
P T
Dec. Nov.
P
T
July
P
July Mar.
P T
Nov.
T
ness loans
rate,bf§fg|;6Jtermmo
L,L,L
tet change in coiijim
ann. rate, bil. dollfe-ter
1966 67
68 69
70 71
72
73 74 75 76
NOTE.—Current data for these series are shown on page C-4.
77 78 79
80 81
82 83
84 85 86
87 88
90
91
92
93 1994
April 1994 •
SURVEY OF CURRENT BUSINESS
C-21
CYCLICAL INDICATORS
Money, Credit, and Interest Rates—Continued
Dec. Nov.
P
T
Nov.
P
Mar.
T
Jan. July July
P T
P
Nov.
T
July Mar.
P T
19-
1715-
t19. Federal fun
13119753-
17
Yie d on net Ittues >f high-g
15
13-
1197-
Ion j-term Ti easury b onds (
53-
Alternative Composite Indexes
140-
ing :omposi e index (1967=1011)
120100J
1966 6 7 6 8
70
7 1 7 2 7 3
74
75
7 6
7 7 7 8 7 9 8 0
CIBCR Center for International Business Cycle Research (Columbia University).
NOTE.—Current data for these series are shown on page C-5.
8 1 8 28 3 8 4 8 5 8 6 8 7 8 8 8 9 9 0
9 1 9 2 9 3
1994
15
C-22 •
SURVEY OF CURRENT BUSINESS
April 1994
OTHER IMPORTANT ECONOMIC MEASURES
Prices
Jan. July
P T
Dec. Nov.
P
T
July
P
Nov.
T
July Mar.
P
T
at annual rate
)roduct (ti-Q spar)
hted prijs index
20100-
6-month span
Prii ©indexes for all
20-1 <
323c. AKHemstesS food
20-1 <
1 O
ll
0-1"
336c. Finished doods
20100-
-10-1
s less foods <nde
20-i
100-1020-]
100-1020100-
-10-
sup >lies, an< compoi ents
332c. li itermedi
20100-
-10-
further processir g
50403020100-10-20-
-30-I
,, . l
1966 67
I , , , V,, I
68 69 70
l , , , , » , . t
71
72
73
74
I
75
NOTE.—Current data for these series are shown on page C-3.
76
I , , , . , , I , ... , . , I , , ,
77
78 79
80
81
82
83
,,,
84
,,,
85
86
,,,
87
88
90
91
92
93 1994
April 1994 •
SURVEY OF CURRENT BUSINESS
OTHER IMPORTANT ECONOMIC MEASURES
Other Measures
Jan. July
P T
Dec. Nov.
P
T
July
P
Nov.
T
July Mar.
P T
Persona«vlngH| Q (p ircent)
1966 6 7 6 8 6 9 7 0
7 1 7 2 7 3
74 75 76 7 7 7 8 7 9 8 0
NOTE.—Current data for these series are shown on pages C-4 and C-5.
8 1 8 2 8 3 8 4 8 5 8 6 8 7 8 8
90 91 92 93 1994
C-23
C-24
•
April 1994
SURVEY OF CURRENT BUSINESS
OTHER IMPORTANT ECONOMIC MEASURES
International Industrial Production
Dec. Nov.
P T
721.OECDEurdp9anco*flWes
1966 6 7 6 8 6 9 7 0
7 1 7 2 7 3
74 75 76 7 7 7 8 7 9 8 0
Nore.—Current data for these series are shown on page C-5.
8 1 8 2 8 3 8 4 8 5 8 6 8 7 8 8 8 9 9 0
9 1 9 2 9 3
1994
SURVEY OF CURRENT BUSINESS
April 1994 •
OTHER IMPORTANT ECONOMIC MEASURES
International Consumer Prices
Dec. Nov.
P
T
Jan. July
P T
July
P
Nov.
T
July Mar.
P T
Percent change over 6-month
1966 67 68 69 70 71 72 73 74 75 76 77 78 79
rtoTE.—Current data for these series are shown on page C-5.
90 91 92 93 1994
C-25
C-26
•
SURVEY OF CURRENT BUSINESS
April 1994
OTHER IMPORTANT ECONOMIC MEASURES
International Stock Prices
Dec. Nov.
P T
1966 6 7 6 8 6 9
70 7 1 7 2 7 3
Nov. Mar.
P
T
74 75 76 7 7 7 8 7 9 8 0
NOTE.—Current data lor these series are shown on page C-5.
Jan. July July
P T
P
Nov.
T
8 1 8 2 8 3 8 4 8 5 8 6 8 7
90 91 92 93 1994
.
April 1994 •
SURVEY OF CURRENT BUSINESS
OTHER IMPORTANT ECONOMIC MEASURES
International Exchange Rates
Dec. Nov.
P
T
Nov.
P
Mar.
T
Jan. July
P T
July
P
Nov.
T
July Mar.
P
T
1966 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 1994
NOTE.—Current data for these series are shown on page C-5.
C-27
C-28 • April 1994
SURVEY OF CURRENT BUSINESS
Business Cycle Expansions and Contractions
Duration in months
Business cycle reference dates
Trough
Peak
December 1854
December 1858
June 1861
December 1867
December 1870
June 1857
October 1860
April 1865
June 1869
October 1873
March 1879
May 1885
April 1888
May 1891
June 1894
Contraction
(trough from
previous peak)
Cycle
Expansion
(trough to peak)
Trough from
previous trough
Peak from
previous peak
32
18
30
22
46
18
34
48
30
78
36
40
54
50
52
March 1882
March 1887
July 1890
January 1893
December 1895 .
65
38
13
10
17
36
22
27
20
18
99
74
35
37
37
101
60
40
30
35
June 1897
December 1900
August 1904
June 1908
January 1912
June 1899
September 1902
May 1907
January 1910
January 1913
18
18
23
13
24
24
21
33
19
12
36
42
44
46
43
42
39
56
32
36
December 1914
March 1919
July 1921
July 1924
November 1927
August 1918
January 1920
May 1923
October 1926
August 1929
23
7
18
14
13
44
10
22
27
21
35
51
28
36
40
67
17
40
41
34
March 1933
June 1938
October 1945
October 1949
May 1954
May 1937
February 1945 ...
November 1948 .
July 1953
August 1957
43
13
8
11
10
50
80
37
45
39
64
63
88
48
55
93
93
45
56
49
April 1958
February 1961
November 1970
March 1975
July 1980
April 1960
December 1969 .
November 1973 .
January 1980
July 1981
24
106
36
58
12
47
34
117
52
64
32
116
November 1982
March 1991
July 1990
16
8
92
28
100
108
Average, all cycles:
1854-1991 (31 cycles)
1854-1919 (16 cycles)
1919-1945 (6 cycles)
1945-1991 (9 cycles)
18
22
18
11
35
27
35
50
53
48
53
61
Average, peacetime cycles:
1854-1991 (26 cycles)
1854-1919 (14 cycles)
1919-1945 (5 cycles)
1945-1991 (7 cycles)
19
22
20
11
29
24
26
43
48
46
46
53
1.30
2.15
3. 25
4.13
cycles.
cycles.
cycles.
cycles.
18
8
10
11
16
47
74
18
2
49
53
61
3
48
47
45
53
4
NOTE.—Figures printed in bold italic are the wartime expansions (Civil War, World Wars I and II, Korean war,
and Vietnam war), the postwar contractions, and the full cycles that include the wartime expansions.
Source: National Bureau of Economic Research, Inc., 1050 Massachusetts Avenue, Cambridge, MA 02138.
April 1994 •
SURVEY OF CURRENT BUSINESS
C-29
Cyclical Leads (-) and Lags (+) for Selected Indicators
[Length in months]
At reference peaks
Series no.
Series title
July
1990
July
1981
Jan.
1980
Nov.
1973
Dec.
1969
Apr.
1960
Aug.
1957
July
1953
Nov.
1948
Mean
LEADING INDICATORS
1
5
8
32
20
29
92
99
19
106
83
910
940
Average weekly hours, manufacturing
Average weekly initial claims for unemployment insurance (inverted)l
Manufacturers' new orders in 1987 dollars, consumer goods and materials
Vendor performance, slower deliveries diffusion index
Contracts and orders for plant and equipment in 1987 dollars
Building permits, new private housing units
Change in manufacturers' unfilled orders in 1987 dollars, durable goods (smoothed)
Change in sensitive materials prices (smoothed)2
Index of stock prices, 500 common stocks
Money supply M2 in 1987 dollars
Index of consumer expectations
Composite index of 11 leading indicators
Ratio, coincident index to lagging index
41
51
47
57
920
Employees on nonagricultural payrolls
Personal income less transfer payments in 1987 dollars
Index of industrial production
Manufacturing and trade sales in 1987 dollars
Composite index of 4 coincident indicators
91
77
62
109
101
95
120
930
Average duration of unemployment (inverted)l
Ratio, manufacturing and trade inventories to sales in 1987 dollars
Change in index of labor cost per unit of output, manufacturing (smoothed)2
Average prime rate charged by banks
Commercial and industrial loans outstanding in 1987 dollars
Ratio, consumer installment credit to personal income
Change in Consumer Price Index for services (smoothed)2
Composite index of 7 lagging indicators
-15
-22
-2
+1
-7
-21
-3
+2
-1
-7
-18
-18
-4
-7
0
-2
-3
-3
-10
-6
-7
-8
-10
-16
-13
—9
-10
-19
-13
-7
-9
-8
0
-1
-11
-14
-11
-13
-2
+11
+1
+2
+8
NST
+4
+3
-21
-23
-25
-28
-9
-30
-19
-17
-13
-16
-9
-20
-27
-10
-3
-12
-5
-8
-26
-9
-6
NST
-5
-5
-9
-11
-13
-5
_7
+3
NST
-2
-2
-2
-2
NST
-24
-38
-15
-15
-15
-9
-11
+11
0
0
0
0
NST
-2
-8
7
-4
-11
-10
-7
-10
-12
-11
-10
-11
-9
-11
-12
-13
-14
-13
-17
-12
-17
-9
NST
-2
-11
-12
-6
+3
-10
-10
-7
-13
-3
n.a.
-30
-17
n.a.
-7
-10
-11.0
-12.9
-9.3
-8.4
-7.3
-15.4
-10.6
-7.8
-11.1
-14.2
-12.4
-11.6
-11.2
COINCIDENT INDICATORS
+0.8
-.4
-1.1
-3.7
-1.2
LAGGING INDICATORS
+5
+15
+6
+1
+14
NST
+2
+3
+16
+16
+10
+10
+5
+11
+13
+2
+5
+6
+7
-1
+5
n.a.
+5
+2
+9
+10
+3
NST
+8
-6
+3
0
+8
0
NST
+3
NST
n.a.
NST
-1.4
+9.2
+6.4
+2.0
+4.6
+1.0
+1.9
+3.1
At reference troughs
Mar.
1991
Nov.
1982
July
1980
Mar.
1975
Nov.
1970
Feb.
1961
Apr.
1958
May
1954
Oct.
1949
Mean
LEADING INDICATORS
1
5
8
32
20
29
92
99
19
106
83
910
940
Average weekly hours, manufacturing
Average weekly initial claims for unemployment insurance (inverted)l
Manufacturers' new orders in 1987 dollars, consumer goods and materials
Vendor performance, slower deliveries diffusion index
Contracts and orders for plant and equipment in 1987 dollars
Building permits, new private housing units
Change in manufacturers' unfilled orders in 1987 dollars, durable goods (smoothed)2
Change in sensitive materials prices (smoothed)2
Index of stock prices, 500 common stocks
Money supply M2 in 1987 dollars
Index of consumer expectations
Composite index of 11 leading indicators
Ratio, coincident index to lagging index
41
51
47
57
920
Average duration of unemployment (inverted)1
Ratio, manufacturing and trade inventories to sales in 1987 dollars
Change in index of labor cost per unit of output, manufacturing (smoothed)2
Average prime rate charged by banks
Commercial and industrial loans outstanding in 1987 dollars
Ratio, consumer installment credit to personal income
Change in Consumer Price Index for services (smoothed)2
Composite index of 7 lagging indicators
-2
-1
0
+1
-1
-10
-3
-2
-5
-7
-6
-1
-8
0
-2
-2
-2
-2
-3
-1
0
Employees on nonagricultural payrolls
Personal income less transfer payments in 1987 dollars
Index of industrial production
Manufacturing and trade sales in 1987 dollars
Composite index of 4 coincident indicators
91
77
62
109
101
95
120
930
+1
0
0
0
+3
-2
+20
0
-5
-2
-5
-2
0
-1
-2
-1
-8
+4
-13
-2
-5
-4
NST
-8
-10
-10
NST
-2
-4
-2
—2
-1
+4
-7
-6
-2
-8
-5
-4
-8
NST
-6
-4
-5
-2
0
0
-11
+1
-2
-9
-1
-4
NST
-3
-2
-1
-6
0
-4
-7
-6
-9
-4
-4
-4
-15
n.a.
-4
0
-1.2
-.1
-1.8
-4.2
+.6
-5.4
-.6
-2.4
-4.6
-5.2
-4.0
-3.1
-2.9
COINCIDENT INDICATORS
0
NST
0
0
0
+1.8
+.1
0
-1.2
+.3
LAGGING INDICATORS
n.a. Not available. Oata needed to determine a specific turning point are not available.
1. This series is inverted; i.e., low values are peaks and high values are troughs.
2. This series is smoothed by an autoregressive-moving-average filter developed by Statistics Canada.
NOTE.—Reference peaks and troughs are the cyclical turning points in overall business activity (see page C28); specific peaks and troughs are the cyclical turning points in individual series. This table lists, for the composite
+19
n.a.
+25
n.a.
+24
+21
+18
n.a.
+8
+14
+10
+8
+11
0
+2
+7
+6
+6
+7
+1
+8
NST
+3
+3
+10
+44
+8
+25
+18
+11
+5
+21
+19
+27
+12
+16
+15
NST
+27
+15
+5
+14
+7
+57
NST
+9
+5
+6
+6
+13
+6
+4
+4
+7
+8
+4
+12
+12
+11
+14
+3
+6
n.a.
+9
+8
+9
+1
NST
-1
NST
n.a.
NST
+10.3
+17.4
+9.7
+17.9
+10.2
+9.0
+9.7
+9.3
indexes and their components, the leads (-) and lags (+) of the specific peaks and troughs in relation to the corresponding reference peaks and troughs. See Measuring Business Cycles by Arthur F. Burns and Wesley C. Mitchell
(National Bureau of Economic Research, Inc., 1946) for information on the selection of cyclical peaks and troughs.
NST No specific turn. No specific turning point is discernible in the data.
C-30 • April 1994
SURVEY OF CURRENT BUSINESS
TITLES AND SOURCES OF SERIES
Series are listed below in numerical order within each of the two major- groups. Series numbers are for identification only
and do not reflect relationships or order among the series. "M" following a series title indicates monthly data; "Q" indicates
quarterly data. Data apply to the whole period except when indicated by "EOM" (end of month) or "EOQ" (end of quarter).
To save space, the following commonly used sources are referred to by number:
Source 1—U.S. Department of Commerce, Bureau of Economic Analysis; Source 2—U.S. Department of Commerce,
Bureau of the Census; Source 3—U.S. Department of Labor, Bureau of Labor Statistics; Source 4—Board of Governors of
the Federal Reserve System.
The numbers in parentheses following the sources indicate the C-pages on which the series appear: Numbers in plain
type indicate data tables; numbers in bold type indicate charts.
1. Cyclical Indicators
Chicago; seasonal adjustment by U.S. Department of Commerce, Office of the
Chief Economist (1,2,9)
1. Average weekly hours of production or nonsupervisory workers,
manufacturing (M).—Source 3 (1,2,9)
5. Average weekly initial claims for unemployment insurance, State programs (M).—Source 1 and U.S. Department of Labor, Employment and Training
Administration (1,2,9)
35. Corporate net cash flow in 1987 dollars (Q).—Source 1 (4)
37. Number of persons unemployed (M).—Source 3 (2)
39.
(EOM).—American Bankers Association (This is a copyrighted series used by
permission; it may not be reproduced without written permission from the source.)
(4)
7. Manufacturers' new orders in 1987 dollars, durable goods industries (M)—
Sources 1,2, and 3(2,15)
8. Manufacturers' new orders in 1987 dollars, consumer goods and materials
industries (M).-Sources 1, 2, and 3 (1,2,9)
9. Construction contracts awarded for commercial and industrial buildings,
floor space (M).—McGraw-Hill Information Systems Company; seasonal adjustment by Bureau of Economic Analysis (This is a copyrighted series used by
permission; it may not be reproduced without written permission from the source.)
(2,16)
Percent of consumer installment loans delinquent 30 days and over
40.
Employees on nonagricultural payrolls, goods-producing industries (M).—
Source 3 (2,13)
41. Employees on nonagricultural payrolls (M).—Source 3 (1,2,11)
42. Number of persons engaged in nonagricultural activities (M).—Source 3 (2)
43. Civilian unemployment rate (M).—Source 3 (2,13)
44.
Unemployment rate, persons unemployed 15 weeks and over (M).—Source
3(2)
10. Contracts and orders for plant and equipment in current dollars (M).—
Sources 1,2, and McGraw-Hill Information Systems Company (2)
45.
Average weekly insured unemployment rate, State programs (M).—Source
1 and U.S. Department of Labor, Employment and Training Administration (2)
12. Index of net business formation (M).—Source 1 and Dun & Bradstreet, Inc.
(2,16)
46.
Index of help-wanted advertising in newspapers (M).—The Conference Board
(2,13)
13. Number of new business incorporations (M).—Dun & Bradstreet, Inc. (2,16)
47. Index of industrial production (M).-Source 4 (1,2,5,11,24)
14.
48.
Current liabilities of business failures (M).-Dun & Bradstreet, Inc. (4)
Employee hours in nonagricultural establishments (M).—Source 3 (2,13)
16. Corporate profits after tax in current dollars (Q).—Source 1 (4,19)
49. Value of domestic goods output in 1987 dollars (Q)-Source 1 (2)
18. Corporate profits after tax in 1987 dollars (Q).-Source 1 (4,19)
50. Gross national product in 1987 dollars (Q).—Source 1 (2)
19. Index of stock prices, 500 common stocks
Corporation (1,5,10,26)
51. Personal income less transfer payments in 1987 dollars (M).—Source 1
(1,4,77)
20.
(M).—Standard & Poor's
Contracts and orders for plant and equipment in 1987 dollars (M).—Sources
1, 2, and McGraw-Hill Information Systems Company (1,2,9)
21. Average weekly overtime hours of production or nonsupervisory workers,
manufacturing (M).—Source 3 (2,13)
22.
Ratio, corporate domestic profits after tax to total corporate domestic
income (Q).—Source 1 (4,19)
23.
Index of spot market prices, raw industrial materials (M).—Sources 1, 3,
and Knight-Ridder Financial Publishing. (From June 1981 forward, this is a
copyrighted series used by permission; it may not be reproduced without written
permission from Knight-Ridder Financial Publishing.) (3,19)
26.
Ratio, implicit price deflator to unit labor cost, all persons, nonfarm
business sector (Q).—Sources 1 and 3 (4,19)
27.
Manufacturers' new orders in 1987 dollars, nondefense capital goods
industries (M).-Sources 1,2, and 3 (2,16)
28.
index of new private housing units authorized by local building permits
(M).-Sources 1 and 2 (1,3,10)
30.
Change in business inventories in 1987 dollars (Q).—Source 1 (3,18)
Personal income in 1987 dollars (M).—Source 1 (4)
53. Wages and salaries in 1987 dollars, mining,
construction (M).—Sources 1 and 3 (4,75)
manufacturing,
and
55. Gross domestic product in 1987 dollars (Q).-Source 1 (2,14)
57. Manufacturing and trade sales in 1987 dollars (M).—Sources 1 and 2 (1,2,77)
58.
Index of consumer sentiment (Q,M).—University of Michigan, Survey Research
Center (This is a copyrighted series used by permission; it may not be reproduced
without written permission from the source.) (4)
59. Sales of retail stores in 1987 dollars (M).-Sources 1 and 2 (2,75)
60.
New private housing units started (M).-Source 2 (3,18)
29.
52.
Ratio, help-wanted advertising in newspapers to number of persons
unemployed (M).—Sources 1, 3, and The Conference Board (2)
61. New plant and equipment expenditures by business in current dollars (Q).—
Source 2 (2)
62. Change in index of labor cost per unit of output, manufacturing, smoothed
(M).—Sources 1 and 4 (1,4,12)
63. index of unit labor cost, all persons, business sector (Q).—Source 3 (4)
66. Consumer installment credit outstanding (EOM).—Source 4 (5)
69.
31. Change in manufacturing and trade inventories (M).—Sources 1 and 2 (3,18)
32. Vendor performance, slower deliveries diffusion index (M).—National Association of Purchasing Management and Purchasing Management Association of
70.
Manufacturers' machinery and equipment sales and business construction
expenditures (M).—Sources 1 and 2 (2,77)
Manufacturing and trade inventories in 1987 dollars (EOM).—Sources 1 and
2(3)
SURVEY OF CURRENT BUSINESS
April 1994 •
C-31
72. Commercial and industrial loans outstanding in current dollars (M).—
Sources 1, 4, and The Federal Reserve Bank of New York (5)
115. Yield on long-term Treasury bonds (M).—U.S. Department of the Treasury
(5,21)
73. Index of industrial production, durable manufactures (M).—Source 4 (2,14)
116. Yield on new issues of high-grade corporate bonds (M).—Citibank and U.S.
Department of the Treasury (5,21)
74. Index of industrial production, nondurable manufactures (M).—Source 4
(2,14)
75. Index of industrial production, consumer goods (M).—Source 4 (2,14)
76. Index of industrial production, business equipment (M).—Source 4 (3,17)
77. Ratio, manufacturing and trade inventories to sales in 1987 dollars (M) —
Sources 1 and 2 (1,3,12)
81. Ratio, corporate domestic profits after tax with inventory valuation and
capital consumption adjustments to total corporate domestic income
(Q).-Source 1 (4,19)
117. Yield on municipal bonds, 20-bond average (M).—The Bond Buyer (5)
118. Secondary market yields on FHA mortgages (M).—U.S. Department of
Housing and Urban Development, Federal Housing Administration (5)
119. Federal funds rate (M).-Source 4 (6,21)
120. Change in Consumer Price Index for services, smoothed (M).—Sources 1
and 3 (1,3,12)
122. Index of consumer confidence (M).-The Conference Board (4)
123. Index of consumer expectations (M) —The Conference Board (4,15)
82. Capacity utilization rate, manufacturing (M)-Source 4 (2,14)
124. Capacity utilization rate, total industry (M).-Source 4 (2)
83. Index of consumer expectations (Q,M).—University of Michigan, Survey Research Center (This is a copyrighted series used by permission; it may not be
reproduced without written permission from the source.) (1,4,10)
910. Composite index of 11 leading indicators (includes series 1,5,8,19, 20,29,
32, 83, 92, 99,106) (M).-Source 1 (1,7,8)
85. Change in money supply M1 (M).—Sources 1 and 4 {4,20)
86. Gross private nonresidential fixed investment in 1987 dollars (Q).—Source
1 (3,17)
87. Gross private nonresidential fixed investment in 1987 dollars, structures
(Q).-Source 1 (3,17)
88. Gross private nonresidential fixed investment in 1987 dollars, producers'
durable equipment (Q).—Source 1 (3,17)
89. Gross private residential fixed investment in 1987 dollars (Q).—Source 1
(3,18)
9G. Ratio, civilian employment to population of working age (M).—Source 3
P. 13)
91. Average duration of unemployment in weeks (M).—Source 3 (1,2,12)
92. Change in manufacturers' unfilled orders in 1987 dollars, durable goods
industries, smoothed (M).—Sources 1,2, and 3 (1,2,10)
93. Free reserves (M).—Sources 1 and 4 (4)
920. Composite index of 4 coincident indicators (includes series 41, 47, 51, 57)
(M).-Source 1 (1,7, a)
930. Composite index of 7 lagging indicators (includes series 62, 77,91, 95,101,
109,120) (M).—Source 1 (1,7,5)
940. Ratio, coincident composite index (series 920) to lagging composite index
(series 930) (M).-Source 1 (1,7)
950. Diffusion index of 11 leading indicator components (M).—Source 1 (1,5)
951. Diffusion index of 4 coincident indicator components (M).—Source 1 (1,8)
952. Diffusion index of 7 lagging indicator components (M).—Source 1 (1,5)
963. Diffusion index of employees on private nonagricultural payrolls, 356
industries (M).—Source 3 (2)
990. CIBCR long-leading composite index (M).—Columbia University, Center for
International Business Cycle Research (5,21)
991. CIBCR short-leading composite index (M).—Columbia University, Center for
International Business Cycle Research (5,21)
94. Member bank borrowings from the Federal Reserve (M).—Source 4 (4)
95. Ratio, consumer installment credit outstanding to personal income (M)—
Sources 1 and 4 (1,5,12)
98. Index of producer prices for sensitive crude and intermediate materials
(M).—Sources 1 and 3 (3)
99. Change in sensitive materials prices, smoothed (M).—Sources 1, 3, and
Knight-Ridder Financial Publishing. (1,3,10)
2. Other Important Economic Measures
290. Gross saving (Q).—Source 1 (4)
292. Personal saving (Q).—Source 1 (4)
293. Personal saving rate (Q).—Source 1 (4,23)
295. Business saving (Q).—Source 1 (4)
100. New plant and equipment expenditures by business in 1987 dollars (Q).—
Source 2 (2,17)
298. Government surplus or deficit (Q).—Source 1 (4,23)
101. Commercial and industrial loans outstanding in 1987 dollars (M).—Sources
1, 3, 4, and The Federal Reserve Bank of New York (1,5,12)
311. Fixed-weighted price index, gross domestic business product (Q).—Source
1(3,22)
102. Change in money supply M2 (M).—Sources 1 and 4 (4,20)
320. Consumer Price Index for all urban consumers, all items (M).—Source 3
(3,5,22,25)
105. Money supply M1 in 1987 dollars (M).—Sources 1, 3, and 4 (4)
106. Money supply M2 in 1987 dollars (M).-Sources 1, 3, and 4 (1,4,10)
107. Ratio, gross domestic product to money supply M1 (Q).—Sources 1 and 4
(4)
108. Ratio, personal income to money supply M2 (M).—Sources 1 and 4 (4)
109. Average prime rate charged by banks (M).—Source 4 (1,5,12)
110. Funds raised by private nonfinancial borrowers in credit markets (Q).—
Source 4 (4,20)
111. Change in business and consumer credit outstanding (M) —Sources 1, 4,
Federal Home Loan Bank Board, and The Federal Reserve Bank of New York (4)
112. Net change in business loans (M).—Sources 1, 4, and The Federal Reserve
Bank of New York (4,20)
113. Net change in consumer installment credit (M).—Sources 1 and 4 (4,20)
114. Discount rate on new issues of 91-day Treasury bills (M).—Source 4 (5,21)
323. Consumer Price Index for all urban consumers, all items less food and
energy (M).—Source 3 (3,22)
331. Producer Price Index, crude materials for further processing (M).—Sources
l a n d 3 (3,22)
332. Producer Price Index, intermediate materials, supplies, and components
(M).—Sources 1 and 3 (3,22)
333. Producer Price Index, capital equipment (M) —Sources 1 and 3 (3,22)
334. Producer Price Index, finished consumer goods (M).—Sources 1 and 3
(3,22)
336. Producer Price Index, finished goods (M).—Sources 1 and 3 (3,22)
337. Producer Price Index, finished goods less foods and energy (M) —Sources
l a n d 3 (3,22)
345. Index of average hourly compensation, all employees, nonfarm business
sector (Q).—Source 3 (4)
C-32 • April 1994
SURVEY OF CURRENT BUSINESS
346. Index of real average hourly compensation, all employees, nonfarm
business sector (Q).—Source 3 (4)
725. Federal Republic of Germany, index of industrial production
Statistisches Bundesamt (Wiesbaden) (5,24)
358. Index of output per hour, all persons, nonfarm business sector (Q).—Source
726. France, index of industrial production (M).—Institut National de la Statistique
et des Etudes Economiques (Paris) (5,24)
3(4)
370. Index of output per hour, all persons, business sector (Q) —Source 3 (4,23)
441. Civilian labor force (M).-Source 3 (2)
(M).—
727. Italy, index of industrial production (M) —Istituto Centrale di Statistica (Rome)
(5,24)
728. Japan, index of industrial production (M).—Ministry of International Trade and
Industry (Tokyo) (5,24)
442. Civilian employment (M).—Source 3 (2)
451. Civilian labor force participation rate, males 20 years and over (M) —Source
3(2)
452. Civilian labor force participation rate, females 20 years and over (M).—
Source 3 (2)
453. Civilian labor force participation rate, both sexes 16-19 years of age (M)—
Source 3 (2)
525. Defense Department prime contract awards for work performed in the United
States (M).—U.S. Department of Defense, Office of the Assistant Secretary of
Defense (Comptroller), Washington Headquarters Services, Directorate for Information Operations and Reports; seasonal adjustment by Bureau of Economic
Analysis (5)
548. Manufacturers' new orders, defense products (M).—Source 2 (5)
557. Index of industrial production, defense and space equipment (M).—Source
4(5)
564. Federal Government purchases, national defense (Q)—Source 1 (5,23)
570. Employment, defense products industries (M).—Sources 1 and 3 (5)
732. United Kingdom, consumer price index (M).—Department of Employment
(London); percent changes seasonally adjusted by Bureau of Economic Analysis
(5,25)
733. Canada, consumer price index (M).—Statistics Canada (Ottawa); percent
changes seasonally adjusted by Bureau of Economic Analysis (5,25)
735. Federal Republic of Germany, consumer price index (M).—Statistisches
Bundesamt (Wiesbaden); percent changes seasonally adjusted by Bureau of
Economic Analysis (5,25)
736. France, consumer price index (M).—Institut National de la Statistique et des
Etudes Economiques (Paris); percent changes seasonally adjusted by Bureau of
Economic Analysis (5,25)
737. Italy, consumer price index (M).—Istituto Centrale di Statistica (Rome); percent
changes seasonally adjusted by Bureau of Economic Analysis (5,25)
738. Japan, consumer price index (M).—Bureau of Statistics, Office of the Prime
Minister (Tokyo); percent changes seasonally adjusted by Bureau of Economic
Analysis (5,25)
742. United Kingdom, index of stock prices (M).-Central Statistical Office (London)
(5,26)
602. Exports, excluding military aid shipments (M).—Sources 1 and 2 (5)
743. Canada, index of stock prices (M).—Toronto Stock Exchange (Toronto) (5,26)
604. Exports of domestic agricultural products (M).—Sources 1 and 2 (5)
606. Exports of nonelectrical machinery (M).—Sources 1 and 2 (5)
612. General imports (M).-Source 2 (5)
745. Federal Republic of Germany, index of stock prices
Bundesamt (Wiesbaden) (5,26)
(M).—Statistisches
614. Imports of petroleum and petroleum products (M).—Sources 1 and 2 (5)
746. France, index of stock prices (M).—Institut National de la Statistique et des
Etudes Economiques (Paris) (5,26)
616. Imports of automobiles and parts (M).—Sources 1 and 2 (5)
747. Italy, index of stock prices (M)-Banca d'ltalia (Rome) (5,26)
618. Merchandise exports, adjusted, excluding military (Q).—Source 1 (5,23)
748. Japan, index of stock prices (M).—Bank of Japan (Tokyo) (5,26)
620. Merchandise imports, adjusted, excluding military (Q).—Source 1 (5,23)
750. Index of weighted-average exchange value of U.S. dollar against currencies
of 10 industrial countries (M).-Source 4 (5,27)
622. Balance on merchandise trade (Q).—Source 1 (5)
752. United Kingdom, exchange rate per U.S. dollar (M).—Sources 1 and 4 (5,27)
721. Organisation for Economic Co-operation and Development, European
countries, index of industrial production (M).—Organisation for Economic
Co-operation and Development (Paris) (5,24)
722. United Kingdom, index of industrial production (M).-Central Statistical Office
(London) (5,24)
723. Canada, index of industrial production
(M).—Statistics Canada (Ottawa)
753. Canada, exchange rate per U.S. dollar (M).-Source 4 (5,27)
755. Federal Republic of Germany, exchange rate per U.S. dollar (M).—Source 4
(5,27)
756. France, exchange rate per U.S. dollar (M).—Source 4 (5,27)
757. Italy, exchange rate per U.S. dollar (M)-Source 4 (5,27)
758. Japan, exchange rate per U.S. dollar (M).—Source 4 (5,27)
SURVEY OF CURRENT BUSINESS
April 1994 •
S-l
Sources for Current Business Statistics
This listing gives the address and phone number of sources for all series formerly published
in the "Current Business Statistics" section, which has been discontinued. The source numbers
shown in this list are printed in brackets after the series titles on pages S-i through S-32 of the
March 1994 SURVEY OF CURRENT BUSINESS.
1.1 Personal income by source and disposition of personal income
U.S. Department of Commerce, Bureau of Economic Analysis, National Income and Wealth Division, BE-54, 1441 L
Street NW, Washington, DC 20230 (202) 606-5304
2.3 Producer prices and producer price indexes for all commodities
U.S. Department of Labor, Bureau of Labor Statistics,
Division of Industrial Prices and Price Indexes, Postal
Square Building, Room 3840, 2 Massachusetts Avenue NE,
Washington, DC 20212 (202) 606-7705
1.2 Industrial production
Jerry Storch, Board of Governors of the Federal Reserve System, Division of Research and Statistics, Industrial Output
Section, Eccles Building, Room 3212-D, 20th & Constitution
Avenue NW, Washington, DC 20551 (202) 452-2932
3.1 Construction put in place and construction cost indexes
George A. Roff, U.S. Department of Commerce, Bureau
of the Census, Construction Statistics Division, Progress
Branch, Iverson Mall, Room 301-03, Washington, DC 20233
(301) 763-5717
3.2 Construction contracts
Laura Pelzer, McGraw-Hill Construction Information
Group, F.W. Dodge Division, Paramount Plaza, 13th Floor,
1633 Broadway, New York, NY 10019 (212) 512-3523
1.3 Business sales, inventories, inventory-sales ratios, and retail
trade
Ronald Piencykoski, U.S. Department of Commerce, Bureau of the Census, Business Division, Current Retail Sales
and Inventories Branch, FOB 3, Room 2626, Washington, DC
20233 (301) 763-5294
1.4 Manufacturing and trade sales, inventories, and ratios in
1987 dollars
U.S. Department of Commerce, Bureau of Economic Analysis, National Income and Wealth Division, BE-54, 1441 L
Street NW, Washington, DC 20230 (202) 606-5304
1.5 Manufacturers' shipments, inventories, and orders
Steve Andrews or Kathy Menth, U.S. Department of Commerce, Bureau of the Census, Industry Division, M3 Branch,
FOB 4, Room 2232, Washington, DC 20233 (301) 763-2502 or
(301) 763-2575
1.6 Business incorporations and industrial and commercial failures
The Dun & Bradstreet Corporation, Economic Communications Department, 299 Park Avenue, New York, NY 10171
(212) 593-4163
2.1 Prices received and paid by farmers
Herb Vanderberry, U.S. Department of Agriculture, National Agricultural Statistical Service, Commodity Prices
Section, Economic Statistics Branch, South Building, Room
5912, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-5446
2.2 Consumer prices and purchasing power of the dollar
U.S. Department of Labor, Bureau of Labor Statistics, Office
of Consumer Prices and Price Indexes, Postal Square Building, Room 3615, 2 Massachusetts Avenue NE, Washington,
DC 20212 (202) 606-7000
3.3 Housing starts and permits
U.S. Department of Commerce, Bureau of the Census, Construction Statistics Division, Construction Starts Branch,
Iverson Mall, Room 300-15, Washington, DC 20233 (301)
763-5731
3.4 Boeckh indexes
Janet Olson, BOECKH, Division of Mitchell International,
P.O. Box 51291, New Berlin, wi 53151-0291 (1-800) 809-0016,
ext. 2808
3.5 Engineering News-Record and construction hourly wages
Rona Nadi, McGraw-Hill Construction Information Group,
Engineering News-Record, 41st Floor, 1221 Avenue of the
Americas, New York, NY 10020 (212) 512-3418
3.6 Federal Highway Adm.—highway construction
Claretta Duren, U.S. Department of Transportation, Federal
Highway Administration, Interstate and Programs Support
Branch, HNG-13, Nassis Building, Room 3128, 400 7th Street
sw, Washington, DC 20590 (202) 366-4636
3.7 Real estate
Zenora Hines, U.S. Housing and Urban Development,
Federal Housing Administration, Information Systems Division, Room B133, 451 7th Street sw, Washington, DC 20410
(202) 755-7500, ext. 107
3.8 Federal Home Loan Banks, outstanding advances to member
institutions
Phil Quinn, Federal Housing Finance Board, District Bank
Directorate Division, Financial Report Branch, 4th Floor,
1777 F Street NW, Washington, DC 20006 (202) 408-2865
4.1 Newspaper advertising expenditures
Miles Groves, Newspaper Association of America, Newspaper Center, 11600 Sunrise Valley Drive, Reston, VA 22091
(703) 648-1339
S-2 • April 1994
SURVEY OF CURRENT BUSINESS
4.2 Wholesale trade
Nancy Piesto, U.S. Department of Commerce, Bureau of
the Census, Business Division, Current Wholesale Branch,
FOB 3, Room 2747, Washington, DC 20233 (301) 763-3916
5.1 Labor force and population
U.S. Department of Labor, Bureau of Labor Statistics, Office
of Employment and Unemployment Statistics, Current Employment Analysis Section, Postal Square Building, Room
4675, 2 Massachusetts Avenue, NE, Washington, DC 20212
(202) 606-6378
5.2 Employment, average hours per week, indexes of employeehours, and hourly and weekly earnings
U.S. Department of Labor, Bureau of Labor Statistics, Office of Employment and Unemployment Statistics, Monthly
Industry Employment Statistics, Postal Square Building,
Room 4860, 2 Massachusetts Avenue, NE, Washington, DC
20212 (202) 606-6555
5.3 Aggregate employee-hours
U.S. Department of Labor, Bureau of Labor Statistics, Division of Productivity Research, Postal Square Building, Room
2150, 2 Massachusetts Avenue NE, Washington, DC 20212
(202) 606-5606
5.4 Employment cost index
Wayne Shelly, U.S. Department of Labor, Bureau of Labor
Statistics, Office of Compensation and Working Conditions,
Division of Employment Cost Trends, Postal Square Building, Room 4170, 2 Massachusetts Avenue NE, Washington,
DC 20212 (202) 606-6199
5.5 Help-wanted advertising
Ken Goldstein, The Conference Board, Inc., 845 Third
Avenue, New York, NY 10022 (212) 339-0331
5.6 Work stoppages
U.S. Department of Labor, Bureau of Labor Statistics, Division of Developments and Labor Management Relations,
Postal Square Building, Room 4175, 2 Massachusetts Avenue
NE, Washington, DC 20212 (202) 606-6288
5.7 Unemployment insurance
Cindy Ambler, U.S. Department of Labor, Employment and
Training Administration, Unemployment Insurance Service, Suite s-4519, 200 Constitution Avenue NW, Washington,
DC 20210 (202) 219-5922
6.1 Bankers9 acceptances
Thomas Brady, Board of Governors of the Federal Reserve
System, Division of Monetary Affairs, Stop 81, Eccles Building, 20th & Constitution Avenue NW, Washington, DC 20551
(202) 452-3363
6.2 Commercial and financial company paper
Federal Reserve Bank of New York, 33 Liberty Street, New
York, NY 10045 (212) 720-6143
6.3 Loans of the Farm Credit System
Federal Farm Credit Banks Funding Corporation, Suite 1401,
10 Exchange Place, Jersey City, NJ 07302 (201) 200-8000
6.4 Federal Reserve Banks condition
Kim Jefferson, Board of Governors of the Federal Reserve
System, Information Resource Management, Stop 170, Martin Building, 20th & C Streets NW, Washington, DC 20551
(202) 452-2398
6.5 All member banks of Federal Reserve System, average daily
figures
Board of Governors of the Federal Reserve System, Division of Monetary Affairs, Stop 72, Eccles Building, 20th
& Constitution Avenue NW, Washington, DC 20551 (202)
452-3577
6.6 Large commercial banks reporting to Federal Reserve System
Dennis Farley, Board of Governors of the Federal Reserve
System, Division of Monetary Affairs, Stop 81, Eccles Building, 20th & Constitution Avenue NW, Washington, DC 20551
(202) 452-3021
6.7 Commercial bank credit
Virginia Lewis, Board of Governors of the Federal Reserve
System, Division of Monetary Affairs, Stop 84, Eccles Building, 20th & Constitution Avenue NW, Washington, DC 20551
(202) 452-3012
6.8 Money and interest rates and taxable U.S. Treasury bonds
Deborah McMillian, Board of Governors of the Federal Reserve System, Division of Monetary Affairs, Stop 81, Eccles
Building, 20th & Constitution Avenue NW, Washington, DC
20551 (202) 452-2851
6.9 Home mortgage rates
Travis King, Federal Housing Finance Board, 1777 F Street
NW, Washington, DC 20006 (202) 408-2967
6.10 Consumer installment credit
Mark Peirce, Board of Governors of the Federal Reserve
System, Division of Research and Statistics, Stop 93, Eccles
Building, 20th & Constitution Avenue NW, Washington, DC
20551 (202) 452-3760
6.11 Federal Government finance
Sherry Sherrod, U.S. Department of the Treasury, Financial
Management Service, Room 749, 941 North Capitol Street
NE, Washington, DC 20227 (202) 208-2456
6.12 Gold, monetary stock
Donald Adams, Board of Governors of the Federal Reserve
System, Division of International Finance, Stop 43, Eccles
Building, 20th & Constitution Avenue NW, Washington, DC
20551 (202) 452-2364
6.13 Gold and silver prices at New York
Platt's Metals Week, McGraw-Hill Inc., 42nd Floor, 1221
Avenue of the Americas, New York, NY 10020 (212) 512-2823
6.14 Monetary statistics
Board of Governors of the Federal Reserve System, Division of Monetary Affairs, Stop 72, Eccles Building, 20th
& Constitution Avenue NW, Washington, DC 20551 (202)
452-3577
6.15 Currency in circulation
Bernadette Derr, U.S. Department of the Treasury, Financial Management Service, 401 14th Street sw, Washington,
DC 20227 (202) 208-1374
6.16 Profits and dividends
Paul Zarrett, U.S. Department of Commerce, Bureau of
the Census, Economic Census and Survey Division, FOB 3,
Room 2578, Washington, DC 20233 (301) 763-2718
SURVEY OF CURRENT BUSINESS
6.17 State and municipal securities issues and domestic municipal bond yields
The Bond Buyer, Statistics Department, 31st Floor, 1 State
Street Plaza, New York, NY 10004 (212) 943-8542
6.18 Bond prices, domestic municipal bond yields, and stock
prices and yields
Standard & Poor's Corporation, Central Inquiry, 25
Broadway, New York, NY 10004 (212) 208-1199
6.19 Bond sales
Mike Hyland, New York Stock Exchange, Inc., Fixed Income
Markets, 20 Broad Street, New York, NY 10005 (212) 6565868
6.20 Bond yields
Moody's Investors Service, Corporate Rating Desk, 99
Church Street, New York, NY 10007 (212) 553-0377
6.21 Stock prices, Dow Jones averages
Dow Jones & Company, Inquiry Department, 200 Liberty
Street, New York, NY 10281 (212) 416-2676
6.22 Stock prices, stock sales, and shares listed, New York Stock
Exchange (NYSE)
April 1994
•
S-3
8.3 Motor carriers
Andrew Lee, Interstate Commerce Commission, Office of
Economics, Section of Costing and Financial Information,
Room 3310, 12th & Constitution Avenue NW, Washington,
DC 20423 (202) 927-6387
8.4 Freight carried—volume indexes, class 1 and 11 intercity
truck tonnage
Mike Arendes, American Trucking Association, Trucking Information Services, 2200 Mill Road, Alexandria, VA
22314-4677 (703) 838-1791
8.5 Class 1 railroads
David Miller, Association of American Railroads, Economics and Finance Department, Room 5404, 50 F Street
NW, Washington, DC 20001 (202) 639-2304
8.6 Foreign travel
Pat Harrington, U.S. Department of Transportation, Volpe
National Transportation Systems Center, Center for Transportation Information, Kendall Square, Cambridge, MA
02142 (617) 494-2450
Bethann Ashfield, New York Stock Exchange, Inc., Research
Library, 17th Floor, 11 Wall Street, New York, NY 10005 (212)
656-2491
8.7 Passports issued
David Brown, U.S. Department of State, Passport Services,
Office of Program Support, Room 584, 1425 K Street NW,
Washington, DC 20522-1705 (202) 326-6075
6.23 Stock prices and stock sales, NASDAQ over-the-counter
Mike Shokouhi, National Association of Securities Dealers,
Inc., Economic Research Department, 1735 K Street NW,
Washington, DC 20006 (202) 728-8274
8.8 National parks, recreation visits
Tom Wade, U.S. Department of Interior, National Park
Service, Socio-Economic Studies, 12795 West Alameda
Parkway, Denver, co 80225-0287 (303) 969-6977
6.24 Stock sales on all registered exchanges (SEC)
William Atkinson, Securities and Exchange Commission,
Office of Economic Analysis, Stop 9-1, 450 5th Street NW,
Washington, DC 20549 (202) 272-7360
9.1 Inorganic chemicals
Lissene Hafenrichter, U.S. Department of Commerce, Bureau of the Census, Industry Division, Wood and Chemical
Products Branch, FOB 4, Room 2212, Washington, DC 20233
(301) 763-2541
7.1 Value of exports, value of imports, and merchandise trade
balance
Richard Preuss, U.S. Department of Commerce, Bureau of
the Census, Foreign Trade Division, Trade Data Services
Branch, FOB 3, Room 2279, Washington, DC 20233 (301)
763-7754
7.2 Export and import price indexes
Michelle Vachris, U.S. Department of Labor, Bureau of Labor Statistics, Division of International Prices, Branch of Index Methods, Analysis, and Evaluation, Postal Square Building, Room 3955, 2 Massachusetts Avenue NE, Washington,
DC 20212 (202) 606-7155
7.3 Shipping weight and value
Norman Tague, U.S. Department of Commerce, Bureau of
the Census, Foreign Trade Division, Transportation Branch,
FOB 3, Room 2266, Washington, DC 20233 (301) 763-7770
9.2 Sulfur
Pamela Shorter, U.S. Department of Interior, Bureau of
Mines, Branch of Industrial Metals, MS-9705, 810 7th Street
NW, Washington, DC 20241 (202) 501-9506
9.3 Inorganic fertilizer materials
Walter Hunter, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Wood and Chemical Products Branch, FOB 4, Room 2212, Washington, DC 20233 (301)
763-4490
9.4 Potash, sales
Connie Holcomb, Potash and Phosphate Institute, Inc.,
Suite 110, 655 Engineering Drive, Norcross, GA 30092 (404)
447-0335
8.1 Air carriers
Paul Gavel, U.S. Department of Transportation, Research
and Special Programs Administration, Office of Airline
Statistics, DAI-20, Washington, DC 20590 (202) 366-4391
9.5 Industrial gases
Suzanne Pasdar, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Wood and Chemical Products Branch, FOB 4, Room 2212, Washington, DC 20233 (301)
763-4485
8.2 Urban transit industry
Terry Bronson, American Public Transit Association, Suite
400, 1201 New York Avenue NW, Washington, DC 20005
(202) 898-4129
9.6 Organic chemicals and plastics and resin materials
Gwen Bennett, International Trade Commission, Energy,
Chemicals, and Textiles Division, Suite 513B, 500 E Street
sw, Washington, DC 20436 (202) 205-3357
S-4
• April 1994
SURVEY OF CURRENT BUSINESS
9.7 Glycerin, production
David Gromos, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Food, Textiles, and Apparel
Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-7809
9.8 Alcohol and alcoholic beverages
U.S. Department of the Treasury, Bureau of Alcohol,
Tobacco, and Firearms, Industry Compliance Division,
Market Compliance Branch, 650 Massachusetts Avenue NW,
Washington, DC 20226 (202) 927-8128
9.9 Paints, varnish, and lacquer
Kim Ciurca, U.S. Department of Commerce, Bureau of the
Census, Industry Division, Wood and Chemical Products
Branch, FOB 4, Room 2212, Washington, DC 20233 (301)
763-5602
10.1 Electric power production
U.S. Department of Energy, National Energy Information Center, Forrestal Building, Room iF-048, 1000 Independence Avenue sw, Washington, DC 20585 (202)
586-8800
10.2 Electric power sales and revenue from sales
Edison Electric Institute, 701 Pennsylvania Avenue NW,
Washington, DC 20004-2696 (202) 508-5000
10.3 Gas
American Gas Association, 1515 Wilson
Arlington, VA 22209-2470 (703) 841-8507
Boulevard,
11.1 Dairy products
Daniel Buckner, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock
Branch, South Building, 14th & Independence Avenue sw,
Washington, DC 20250-2000 (202) 720-4448
11.2 Fluid milk, utilization in manufactured dairy products
LaVerne T. Williams, U.S. Department of Agriculture,
Economic Research Service, Livestock, Dairy, and Poultry Branch, Room 8O8D, 1301 New York Avenue NW,
Washington, DC 20005 (202) 219-0769
11.3 Fluid milk wholesale prices
James Hand, U.S. Department of Agriculture, National Agricultural Statistical Service, Economic Statistics
Branch, Commodity Prices Section, South Building, Room
5927, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 690-3236
11.4 Grain and grain products
Charles Van Lahr, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Crops
Branch, South Building, Room 5175, 14th & Independence
Avenue sw, Washington, DC 20250-2000 (202) 720-2127
11.5 Rice
Dan Kerestes, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Crops
Branch, South Building, Room 5175, 14th & Independence
Avenue sw, Washington, DC 20250-2000 (202) 720-9526
11.6 Rye and wheat
Vaughn Siegenthaler, U.S. Department of Agriculture, National Agricultural Statistical Service, Estimates Division,
Crops Branch, South Building, Room 5175, 14th & Independence Avenue sw, Washington, DC 20250-2000 (202)
720-8068
11.7 Wheat flour
John Miller, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Food, Textiles, and Apparel
Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-7837
11.8 Poultry, slaughter
Joel Moore, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock, Dairy, and Poultry Branch, South Building, Room
5906, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-3244
11.9 Cold storage stocks of poultry, eggs, total meats, beef and
veal, lamb and mutton, and pork
John Lang, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock, Dairy, and Poultry Branch, South Building, Room
5906, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-0585
11.10 Poultry and egg prices
Debra Kenerson, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Economic Statistics Branch, South Building, Room 5912, 14th
& Independence Avenue sw, Washington, DC 20250-2000
(202) 690-3234
11.11 Egg production
Robert Little, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock, Dairy, and Poultry Branch, South Building, Room
5913, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-6147
11.12 Catties and calves
Glenda Shepler, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock, Dairy, and Poultry Branch, South Building, Room
5906, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-3040
11.13 Hogs
Tom Kurtz, U.S. Department of Agriculture, National Agricultural Statistical Service, Estimates Division, Livestock,
Dairy, and Poultry Branch, South Building, Room 5901,14th
& Independence Avenue sw, Washington, DC 20250-2000
(202) 720-3106
11.14 Sheep and lambs and meats
Linda Simpson, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Livestock, Dairy, and Poultry Branch, South Building, Room
5871, 14th & Independence Avenue sw, Washington, DC
20250-2000 (202) 720-3578
SURVEY OF CURRENT BUSINESS
11.15 Coffee, U.S. Import Price Index
Rob Frumkin, U.S. Department of Labor, Bureau of Labor Statistics, Division of International Prices, Branch of
International Indexes, Postal Square Building, Room 3930,
2 Massachusetts Avenue NE, Washington, DC 20212 (202)
606-7106
11.16 Fish
Barbara O'Bannon, U.S. Department of Commerce, National Oceanic and Atomspheric Administration, National
Marine Fisheries Service, Fisheries Statistics Division, 1315
East West Highway, Silver Spring, MD 20910 (301) 713-2328
11.17 Tobacco
Greg Preston, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Crops
Branch, South Building, Room 5175, 14th & Independence
Avenue sw, Washington, DC 20250-2000 (202) 720-3843
11.18 Tobacco leaf stocks
Henry Martin, U.S. Department of Agriculture, Agricultural
Marketing Service, Tobacco Division, Market Information
and Program Analysis Branch, Annex Building, Room 502,
300 12th Street sw, Washington, DC 20250-2000 (202) 2050489
April 1994 •
S-5
14.4 17.5. and foreign ores: Receipts and consumption at iron
and steel plants and stocks at furnace yards and U.S. docks
Joy Earlywine, American Iron Ore Association, 915 Rockefeller Building, 614 Superior Avenue West, Cleveland, OH
44113-1383 (216) 241-8261
14.5 Pig iron and iron products castings and steel castings
Renee Reda, U.S. Department of Commerce, Bureau of the
Census, Industry Division, Metals and Industrial Machinery
Branch, FOB 4, Room 2207, Washington, DC 20233 (301)
763-7865
14.6 Producing steel mills, inventory
Michele L. Chaney, U.S. Department of Commerce, Bureau
of the Census, Industry Division, Metals and Industrial Machinery Branch, FOB 4, Room 2207, Washington, DC 20233
(301) 763-7863
14.7 Aluminum
Patricia Plunkert or Cindy Lui, U.S. Department of Interior,
Bureau of Mines, Branch of Metals, MS-5208, 810 7th Street
NW, Washington, DC 20241 (202) 501-9419
14.8 Aluminum products
Mary Ellickson, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Metals and Industrial Machinery Branch, FOB 4, Room 2207, Washington, DC 20233
(301) 763-7862
12.1 Leather manufactures
Nat Shelton, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Food, Textiles, and Apparel
Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-5809
14.9 Copper
Dan Edelstein, U.S. Department of Interior, Bureau of
Mines, Branch of Metals, MS-5208, 810 7th Street NW,
Washington, DC 20241 (202) 501-9415
13.1 Lumber—all types, southern pine, and western pine
Kathy Shaffer, American Forest and Paper Association, Suite
8oo> 1111 19th Street NW, Washington, DC 20036 (202) 4632754
14.10 Lead
Jerry Smith, U.S. Department of Interior, Bureau of Mines,
Branch of Metals, MS-5208, 810 7th Street NW, Washington,
DC 20241 (202) 501-9444
13.2 Softwoods
Western Wood Products Association, Yeon Building, 522
Southwest Fifth Avenue, Portland, OR 97204-2122 (503) 2243930
14.11 Lead producers' stocks and slab zinc production and producersy stocks
Robert Clock, American Bureau of Metal Statistics, Inc.,
400 Plaza Drive, P.O. Box 1405, Secaucus, NJ 07094-0405
(201) 863-6900
13.3 Hardwood flooring
Patsy Davenport, National Oak Flooring Manufactures Association, P.O. Box 3009, Memphis, TN 38173-0009 (901)
526-5016
14.1 Iron and steel; pig iron and iron products; steel, raw and
semifinished; and steel mill products
Janet Nash, American Iron and Steel Institute, Suite 1300,
110117th Street NW, Washington, DC 20036-4700 (202) 4527203 or (202) 452-7201
14.2 Iron and steel scrap and pig iron
consumption
David Kulha, U.S. Department of Interior, Bureau of Mines,
Branch of Metals, MS-9703, 810 7th Street NW, Washington,
DC 20241 (202) 501-9520
14.3 Ore
William S. Kirk, U.S. Department of Interior, Bureau of
Mines, Branch of Metals, MS-5208, 810 7th Street NW,
Washington, DC 20241 (202) 501-9430
14.12 Tin
James Carlin, U.S. Department of Interior, Bureau of Mines,
Branch of Metals, MS-5208, 810 7th Street NW, Washington,
DC 20241 (202) 501-9426
14.13 Zinc
Bob Reese, U.S. Department of Interior, Bureau of Mines,
Branch of Metals, MS-5208, 810 7th Street NW, Washington,
DC 20241 (202) 501-9422
14.14 Industrial heating equipment
Data not available for public distribution.
14.15 Materials handling equipment
Elizabeth Baatz, Cahners Economics, Cahners Building, 275
Washington Street, Newton, MA 02158-1630 (617) 630-2114
14.16 Industrial supplies, machinery, and equipment
Chuck Moore, American Supply & Machinery Manufacturers' Association, Inc., 1300 Sumner Avenue, Cleveland, OH
44115-2851 (216) 244-7333
S-6
• April 1994
SURVEY OF CURRENT BUSINESS
14.17 Industrial suppliers distribution of machinery and equipment
Steve Hern, Industrial Distribution Association, Suite 201, 3
Corporate Square, Atlanta, GA 30329 (404) 325-2776
16.2
14.18 Fluid power products shipments indexes
Steven Latin-Kasper, National Fluid Power Association,
Suite 311, 3333 North Mayfair Road, Milwaukee, wi 53222
(414) 778-3358
16.3 Paper products
Peggy Gilmore, Fibre Box Association, 2850 Golf Road,
Rolling Meadows, IL 60008 (708) 364-9600
14.19 Machine tools
Steve Bell, The Association for Manufacturing Technology,
7901 West Park Drive, McLean, VA 22102-4269 (703) 8275262
14.20 Tractors used in construction, shipments
Richard Wiesler, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Metals and Industrial Machinery Branch, FOB 4, Room 2207, Washington, DC 20233
(301) 763-7^67
14.21 Battery shipments
Mary Warmowski, Smith Bucklin & Associates Inc., 401
North Michigan Avenue, Chicago, II 60611-4267 (312)
644-6610
14.22 Radio factory sales and television set production
Tom Godsman, Electronic Industries Association, 2001
Pennsylvania Avenue NW, Washington, DC 20006-1813 (202)
457-4958
14.23 Household major appliances and ranges
Alane Mackay, Association of Home Appliance Manufacturers, 20 North Wacker Drive, Chicago, IL 60606 (312)
984-5800, ext. 315
14.24 Vacuum cleaners
Clifford J. Wood, Vacuum Cleaner Manufacturers Association, Box 2642, North Canton, OH 44720 (216)
499-5998
14.25 Furnaces
Gary Thibeault, Gas Appliance Manufacturers Association,
Inc., 1901 North Moore Street, Arlington, VA 22209 (703)
525-9565
14.26 Water heaters
Frank Stanonik, Gas Appliance Manufacturers Association,
Inc., 1901 North Moore Street, Arlington, VA 22209 (703)
525-9565
15.1 Coal and coke
U.S. Department of Energy, National Energy Information Center, Forrestal Building, Ei-231, 1000 Independence
Avenue sw, Washington, DC 20585 (202) 586-8800
15.2 Petroleum coke production and stocks and petroleum and
products
Morris Rice, U.S. Department of Energy, Office of Oil and
Gas, Ei-424, Forrestal Building, Room 2E068, Washington,
DC 20585 (202) 586-4634
16.1 Pulpwood, waste paper, woodpulp, and paper and paper
products
American Forest and Paper Association, Paper Information
Center, 1111 19th Street NW, Washington, DC 20036 (1-800)
878-8878
Newsprint
Jan Liddy, American Forest and Paper Association, n t h
Floor, 260 Madison Avenue, New York, NY 10016 (212)
340-0649
17.1 Tires and tubes
Dan Mustico, Rubber Manufacturers Association, 1400 K
Street NW, Washington, DC 20005 (202) 682-4863
18.1 Portland cement
Cheryl Solomon, U.S. Department of Interior, Bureau of
Mines, Branch of Industrial Minerals, MS-5209, 810 7th
Street NW, Washington, DC 20241 (202) 501-9393
18.2 Clay construction products
Robert Miller, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Wood and Chemical Products Branch, FOB 4, Room 2212, Washington, DC 20233 (301)
763-4484
18.3 Flat glass shipments
Susan Sundermann, U.S. Department of Commerce, Bureau of the Census, Industry Division, Wood and Chemical
Products Branch, FOB 4, Room 2203, Washington, DC 20233
(301) 763-2376
18.4 Glass containers
Sheila Proudfoot, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Wood and Chemical Products Branch, FOB 4, Room 2203, Washington, DC 20233 (301)
763-7574
18.5 Gypsum and products
Lawrence Davis, U.S. Department of Interior, Bureau of
Mines, Branch of Industrial Minerals, MS-5209, 810 7th
Street NW, Washington, DC 20241 (202) 501-9386
19.1 Cotton production
Roger Lathan, U.S. Department of Agriculture, National
Agricultural Statistical Service, Crops Branch, Room 5175,
14th & Independence Avenue sw, Washington, DC 202502000 (202) 720-5944
19.2 Cotton consumption and spindle activity
Karen Harshbarger, U.S. Department of Commerce, Bureau of the Census, Industry Division, Food, Textiles, and
Apparel Branch, FOB 4, Room 2132, Washington, DC 20233
(301) 763-4476
19.3 Cotton stocks in the United States
Tim Barry, New York Cotton Exchange, Market Surveillance Division, 8th Floor, 4 World Trade Center, New York,
NY 10048 (212) 938-7909
19.4 Cotton farm prices, American upland
Debra Kenerson, U.S. Department of Agriculture, National
Agricultural Statistical Service, Estimates Division, Economic Statistics Branch, Commodity Prices Section, 14th
& Independence Avenue sw, Washington, DC 20250-2000
(202) 690-3234
SURVEY OF CURRENT BUSINESS
19.5 Cotton prices, strict low middling
Leslie Meyer, U.S. Department of Agriculture, Economic Research Service, Commodity Economics Division,
Crops Branch, Room 1034, 1301 New York Avenue NW,
Washington, DC 20005-4788 (202) 219-0840
19.6 Cotton cloth broadwoven goods and production of wool
broadwoven goods
Keith Featherstone, U.S. Department of Commerce, Bureau
of the Census, Industry Division, Food, Textiles, and Apparel Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-2553
19.7 Manmade fibers and manufactures
Kim Costa, Fiber Economics Bureau, Inc., 101 Eisenhower
Parkway, Roseland, NJ 07068 (201) 228-1107
19.8 Wool consumption
Maria Dixon, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Food, Textiles, and Apparel
Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-5895
19.9 Wool imports and wool prices
John Lawler, U.S. Department of Agriculture, Economic Research Service, Commodity Economics Division,
Crops Branch, Room 1034, 1301 New York Avenue NW,
Washington, DC 20005-4788 (202) 219-0840
19.10 Floor coverings
Amelia Williams, American Textile Manufacturers Institute,
Inc., Office of Chief Economist, Suite 900,1801 K Street NW,
Washington, DC 20006 (202) 862-0547
19.11 Apparel
Andrew Kraynak, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Food, Textiles, and Apparel
Branch, FOB 4, Room 2132, Washington, DC 20233 (301)
763-7108
19.12 Hosiery shipments
Mary Ann Blansett, National Association of Hosiery Manufacturers, 200 North Sharon Amity Road, Charlotte, NC
28211-3004 (704) 365-0913
April 1994 •
S-7
20.1 Aerospace vehicles, truck trailer and chassis shipments, and
trailer chassis sold separately
Lynn Sizemore, U.S. Department of Commerce, Bureau of
the Census, Industry Division, Electrical and Transportation Branch, FOB 4, Room 2231, Washington, DC 20233 (301)
763-5547
20.2 Passenger cars, trucks, and buses factory sales and retail inventories of trucks and buses
American Automobile Manufacturers Association, Suite
300, 7430 Second Avenue, Detroit, MI 48202 (313) 872-4311
20.3 Passenger car retail sales, inventories, and inventory-sales
ratios
U.S. Department of Commerce, Bureau of Economic Analysis, National Income and Wealth Division, BE-54, 1441 L
Street NW, Washington, DC 20230 (202) 606-5304
20.4 Passenger car imports
Mike Hagey, U.S. International Trade Commission, Machinery and Transportation Division, 500 E Street sw,
Washington, DC 20436 (202) 205-3392
20.5 Registrations of passenger cars, trucks, and buses
R.L. Polk & Company, Statistical Services Division, 1155
Brewery Park Boulevard, Detroit, MI 48207-2697 (313)
393-0880
20.6 Retail sales of trucks and buses
U.S. Department of Commerce, Bureau of Economic Analysis, National Income and Wealth Division, BE-54, 1441 L
Street NW, Washington, DC 20230 (202) 606-5304
20.7 Railroad equipment
Association of American Railroads, Communications Department, 50 F Street NW, Washington, DC 20001-1564 (202)
639-2555
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Schedule of Upcoming BEA News Releases
Subject
Release
Date
U.S. International Trade in Goods and Services, March 1994
Gross Domestic Product, 1st quarter 1994 (preliminary)
Corporate Profits, 1st quarter 1994 (preliminary)
Personal Income and Outlays, April 1994
* May
May
May
May
19
27
27
31
Composite Indexes of Leading, Coincident, and Lagging Indicators, April 1994
Summary of International Transactions, 1st quarter 1994
U.S. International Trade in Goods and Services, April 1994
Gross Domestic Product, 1st quarter 1994 (final)
Corporate Profits, 1st quarter 1994 (revised)
Personal Income and Outlays, May 1994
•
June
June
* June
June
June
June
2
15
21
29
29
30
Composite Indexes of Leading, Coincident, and Lagging Indicators, May 1994
U.S. International Trade in Goods and Services, May 1994
State Personal Income, 1st quarter 1994
Gross Domestic Product, 2nd quarter 1994 (advance)
July 1
* July 19
July 20
July 29
Personal Income and Outlays, June 1994
Composite Indexes of Leading, Coincident, and Lagging Indicators, June 1994
Gross State Product by Industry, 1991
U.S. International Trade in Goods and Services, June 1994
State Per Capita Personal Income, 1993 (revised)
Gross Domestic Product, 2nd quarter 1994 (preliminary)
Corporate Profits, 2nd quarter 1994 (preliminary)
Personal Income and Outlays, July 1994
Aug. 1
Aug. 3
Aug. 4
* Aug. 18
Aug. 23
Aug. 26
Aug. 26
Aug. 29
Composite Indexes of Leading, Coincident, and Lagging Indicators, July 1994
Aug. 31
* Joint release by the Bureau of the Census and BEA.
For informationy call (202) 606-9900, Bureau of Economic Analysis, U.S. Department of Commerce.
@FedFRASER