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E M P L O Y M E N T AND PAY ROLLS




IN

STATE UNEMPLOYMENT
COMPENSATION SYSTEMS
1938
EMPLOYMENT
PART I :

SECURITY MEMORANDUM No. 6
INTRODUCTION

FEDERAL

SECURITY

AND

CHARTS

AGENCY

SOCIAL S E C U R I T Y BOARD
BUREAU OF E M P L O Y M E N T S E C U R I T Y
W A S H I N G T O N , D.C.
APRIL 1 9 4 0

BUREAU OF EMPLOYMENT SECURITY
Ewan Clague, Director

Fred C# Groxton
Acting Assistant to the Director

Employment Service Division
Byron Mitchell
Assistant Director in Charge




Unemployment Compensation Division
Paul E. Batzell
Acting Assistant Director in Charge

Field Division
C. R. P. Cochrane, Chief
Research and Statistics Division
Collis Stocking, Chief




Federal Security Agency
SOCIAL SECURITY BOARD
BUREAU OF EMPLOYMENT SECURITY

EMPLOYMENT AND PAY ROLLS
In
STATE UNEMPLOYMENT COMPENSATION SYSTEMS
19 3 8

Employment Security Memorandum No. 6

Part I:

Introduction and Charts

Research and Statistics Division
Washington, D.C.
April 1940

Foreword

The employment and pay-roll data flowing from unemployment
compensation operations constitute a distinct contribution to our
understanding of labor market phenomena. For the first time in
our history such data are available for monthly and quarterly
periods and are presented in these volumes, classified by State
and industry, for the year 1938. Since the scope of the unemployment compensation program is sufficiently inclusive to assure
reasonably complete coverage in terms of industrial employment, the
data complement those collected by the Census and the monthly
indexes of employment and pay rolls prepared by the Bureau of Labor
Statistics.
Although State administrative agencies took prompt action to
obtain employment and pay-roll information, data are not available
for all States prior to 1938. Fifteen States did not enact unemployment compensation laws until sometime in 1937, and some of these
States applied an increased contribution rate to pay rolls for the
remaining fraction of the year in order to avoid retroactive levies.
As a result, data covering experience during the earlier months of
1937 were not reported. In other States, which began collecting
contributions in 1936, the lack of facilities for processing the
data, together with employer unfamiliarity with reporting requirements tended to detract from the reliability of such data as were
obtained.
It is expected that the employment data for 1938 and similar
data issued for subsequent years will be useful to business and to
public and private research organizations as it will be to those
immediately concerned with the future of the employment security
program.
The cooperation of the research and statistics units of
State agencies in making the issuance of these data possible and
the assistance of the Bureau of Labor Statistics in preparing the
data for tabulation are gratefully acknowledged.




Ewan Clague, Director,
Bureau of Employment Security

TABLE OF CONTENTS
PART I
INTRODUCTION
CHARTS
Average monthly employment of covered workers "by industry divisions,
1938
Wages earned in covered employment "by industry division, 1938
Covered employment by industrial divisions and by months, 1938
Alabama--Wyoming (excluding Pennsylvania)
Taxable wages by quarters and by States, grouped according to
Social Security Board Regions, I—XII, 193S
PART II
TABLES
Table 1. Employment of covered workers, by States and by months, 1938,
Total, all industries




2. Average monthly employment of covered workers, by States,
and by industry divisions, 1938
3.

Industry division—mining

k.

Major industry group 10--metalliferous mining

5.

Major industry group 12—bituminous coal mining

6*

Major industry group 13—crude petroleum and
natural gas production

7.

Major industry group Ik—nonmetallic mining and
quarrying

8.
9.

Industry division—construction
Major industry group 15—general
buildingcontractors,
construction

10,

Major industry group lfe--general contractors, other
than building construction

11.

Major industry group 17—special trade contractors
(sub-cont rac 10 rs)

- 2 TABLES




12.

Industry division--!

13.

Major industry group 20—food manufacturing

Ik.

Major industry group 21—tobacco manufacturing

15.

Major industry group 22—textile mill products

16.

Major industry group 23-—apparel and other finished
articles made from fabrics

17.

Major industry group 24—basic lumber industries

18.

Major industry group 25—finished lumber products

19.

Major industry group 26—>paper and allied products

20.

Major industry group 27--printing, publishing and
allied industries

21.

Major industry group 2S--chemicals

22.

Major industry group 29—products of petroleum and
coal

23.

Major industry group 30—rubber products

24.

Major industry group 31—leather and its manufactures

25.

Major industry group 32—stone, clay and glass
products

26.

Major industry group 33—iron and steel and their
products

27.

Major industry group 33—nonferrous metals and
their products

28.

Major industry group 36—electrical machinery (including radios and refrigerators)

29.

Major Industry group 37—machinery other than
electrical

30.

Major industry group 38—automobiles, bodies and
parts

31.

Major industry group 39"®iscellaneous manufacturing

- 3 TABLES




32.
33#

Industry division—transportation, communication and
utilities
Major industry group ho—interstate railroads
Major industry group hi—street, suburban, and interurban railways, (other than
those in major industry
group ko) and city and
suburban bus lines

35®

Major industry group U2—trucking and/or warehousing
for hire

36.

Major industry group ^3~~other transportation, except
water transportation

37•

Major industry group

38•

Major industry group 45—services allied to transportation, not elsewhere
classified

39.

Major industry group 46—communications: telephone,
telegraph, commercial radio
and related services

40.

Major industry group 4S~-utilities: light, heat and
power companies, electric
and gas

41.

Major industry group 49—other local utilities and

—wateT transportation

local public services
42.

Industry division—wholesale and retail trade

1+3•

Major industry group 50—wholesale merchants

44*

Major industry group 5*—wholesale
distributors
other
than wholesale
merchants

1+5,

Major industry group 52—wholesale and retail trade
combined

46*

Major industry group 53—retail general merchandise

hf*

Major industry group 5^—retail food

US,

Major industry group 55—retail automotive

49.

Major industry group 56—retail apparel

- U TABLES




50.

Major industry group. 57—retail trade not elsewhere
classified

51.

Major industry group 71—-eating and drinking places

52.

Major industry group 75—automobile repair services,
garages and filling stations

53.

Industry division—finance, insurance and real estate

5^.

Major industry group 60—bank and trust companies

55.

Major industry group 6l—-investment
banking and
security speculation

56,

Major industry group 62—finance agencies not elsewhere classified

57•

Major industry group 63—insurance carriers

58o

Major industry group 6H—insurance agents and brokers

59.

Major industry group 65—real
estate dealers, agents
and brokers

60*

Major industry group 66—real estate, insurance, loans,
law office; any combination

61*

Industry division—service

62.

Major industry group 70—hotels,
furnished
rooms,places
camps and
other lodging

63®

Major industry group 72—personal service

6H.

Major industry group 73—'.business service not elsewhere classified

65.

Major industry group 7**---employment agencies and
commercial and trade schools

66.

Major industry group 76—repair services and miscellaneous hand trades not
elsewhere classified

67.

Major industry group 77—agricultural and horticultural
services and related services

6S»

Major industry group 78—amusement and recreation:
motion pictures

- 5 TABLES
69.

Major industry group 79—amusement and recreation and
related services not elsewhere classified

70.

Major industry group 80—medical and other health
services

71 •

Major industry group 81—law offices and related
services

72.

Major industry group 82—educational institutions
and agencies

73•

Major industry group 83—other professional and social
service agencies and institutioni

74*

Major industry group 86—membership organizations,
such as trade associations,
trade unions, etc.

75•

Industry division—miscellaneous

76.

Major industry group 85—private business organizations
not elsewhere classified

77•

Major industry group 67
and 68—administrative offices and
holding companies; auxiliary
units of manufacturing, trading, and service companies

101.

Wages earned in covered employment, by States, and by
quarters, 1938, Total, all industries

102o

Total wages earned in covered employment, by States, and
by industry divisions, 1938

103.

Industry division—mining

104.

Major industry group 10—metalliferous mining

105.

Major industry group 12—bituminous coal mining

106.

Major industry group 13~crude petroleum and
natural gas production

107.

Major industry group Ik—nonmetallic mining and
quarrying




- 6 TABLES
108.

Industry division—construction

109.

Major industry group 15—general contractors, building
construction

110.

Major industry group 16—general contractors, other
than building construction

111.

Major industry group 17—special trade contractors
(subcontractors)

112.

Industry division—manufacturing

113.

Major industry group

20- -food manufacturing

Ilk.

Major industry group

21- -tobacco manufacturing

115.

Major industry group

22- -textile mill products

116.

Major industry group 23--apparel and other finished
articles made from fabrics

117.

Major industry group 2k--basic lumber industries

118.

Major industry group 25--finished lumber products

119.

Major industry group 26--paper and allied products

120.

Major industry group 27--printing, publishing, and
allied industries

121.

Major industry group 28—chemicals

122.

Major industry group 29—products of petroleum and
coal

123.

Major industry group 30—rubber products

12k.

Major industry group 3 1 —leather and its manufactures

125*

Major industry group 32--etone, clay and glass products

126.

Major industry group 33—iron
and steel and their
products

127#

Major industry group 35—nonferrous metals and their
products

128.

Major industry group 36—electrical machinery (including radios and refrigerators)




- 7 TABLES




129.

Major industry group 37—machinery other than
electrical

130.

Major industry group 38-~&utomobiles, bodies and
part 8

131.
132.

Major industry group 39—miscellaneous manufacturing
Industry division—transportation,
communication and
utilities

133»

Major industry group Ho—interstate railroads

I3U.

Major industry group Hi—street, suburban and interurban railways (other than
those in major industry
group Ho) and city and
suburban bus lines

135*

Major industry group k2—trucking and/or warehousing
for hire

136.

Major industry group U3—other transportation, except
water transportation

137•

Major industry group HU—water transportation

138,

Major industry group H5—services allied to transportation, not elsewhere
classified

139*

Major industry group 46—'communications: telephone,
telegraph, commercial radio
and related services

iko.

Major industry group kS—utilities: light, heat and
power companies, electric
and gas

Ikl.

Major industry group U9—other local utilities and
local public services

lk2.

Industry division—wholesale and retail trade

IU3.

Major industry group 50—wholesale merchants

lUU.

Major industry group 51—wholesale distributors other
than wholesale merchants

IH5.

Major industry group 52--wholesale and retail trade
combined

- 8 TABL3S




Major industry group 53—retail general merchandise
IU7.

Major industry group 5^—retail food

lUg.

Major industry group 55—retail automotive

1^9.

Major industry group 56—retail apparel

150.

Major industry group 57—retail trade not elsewhere
classified

1$!.

Major industry group "J1—eating and drinking places

152.

Major industry group 75~~au*;omobile repair services,
garages and filling stations

153•

Industry division—finance, insurance and real estate

15^.

Major industry group 60—hank and trust companies

155.
156.

Major industry group 6l—investment
banking and
security speculation
Major industry group 62—finance agencies not elsewhere classified

157.

Major industry group 63—insurance carriers

158.

Major industry group 6U—insurance agents and brokers

159#

Major industry group 65—'real
estate dealers, agents
and brokers

160•

Major industry group 66—real estate, insurance, loans,
law office; any combination

161.

Industry division—service

162.

Major industry group JO—hotels, furnished rooms,
camps and other lodging
places

163.

Major industry group 72—personal service

l6U.

Major industry group 73—business service not elsewhere classified

165•

Major industry group 7^—employment agencies and
commercial and trade schools

~ 9 ~
TABLES




166.

Major industry group 76—repair services and miscellaneous hand trades not
elsewhere classified

167.

Major industry group 77—agricultural and horticultural services and related
services

168.

Major industry group 78--amusement and recreation:
motion pictures

169.

Major industry group 79—amusement and recreation
and related services not
elsewhere classified

170•

Major industry group 80—medical and other health
services

171*

Major industry group 81—law offices and related
services

172.

Major industry group 82—educational institutions
and agencies

173•

Major industry group 83—other professional and social
service agencies and institutions

174.

Major industry group 86—membership organizations such
as trade associations, trade
unions, etc.

175.

Industry division—miscellaneous

176.

Major industry group 85—private business organizations not elsewhere
classified

177.

Major industry group 67
and 68—administrative offices and
holding companies; auxiliary
units of manufacturing, trading and service companies

Introduction

Adequate employment and pay-roll data are essential to an
employment security program. Upon these data depend actuarial estimates of income and benefit liability, studies of labor market trends,
administrative requirements and problems of partial and seasonal unemployment, as well as analyses needed for adjusting benefits and contribution rates. Because of the importance of employment and pay-roll
data, State administrative agencies made arrangements to obtain from
employers subject to unemployment compensation lavrs information necessary for classifying employers according to the nature of their business. Subsequently, these employers have regularly reported emplojitient
and pay-roll information to provide a reasonably complete picture of
the changes which have occurred in each State.
The inclusiveness of the data varies from State to State.
This is because some States, following the example set in the Social
Security Act, have extended coverage only to employers employing
8 or more workers, while other States have extended coverage to firms
of smaller size. In almost every instance, however, the coverage
has been sufficient to reflect accurately the changes which have
occurred in employment and pay rolls during the year#

Although data

are available for the 70 industry groups provided in the Social
Security Board Industrial Classification Code (March 1937 edition),^

V

!

The District of Columbia, Massachusetts, North Carolina and
West Virginia used the 1936 edition of the code. The classifications,
however, were practically the same as those of the 1937 edition.




- 2 certain related industries have been combined to facilitate tabulation and in some cases to avoid disclosure when the firms included
in a major industry group have not reported average monthly employment of more than 100 workers.

Character of Data Reported - The concepts which underlie the
employment and pay-roll data have an important bearing on the proper
interpretation of the data*

Employers required to pay contributions

for unemployment compensation purposes are obliged to report the
number of workers employed during last pay periods of all types ending within the month*^

Thus, if an employer has some workers who

are paid on a weekly basis, others on a semimonthly, and still others
on a monthly pay-roll basis, the figure to be reported as "the number
employed during the last pay periods ending within the month" represents the sum of the number of workers on a weekly pay basis who were
working during the last week of the month, those paid on a semimonthly
basis who were working during the second of the semimonthly pay
periods, and those workers who were employed on a monthly pay-roll
basis.

Should the employer have other types of pay periods, viz.,

ten-day or daily, the number employed on the last of each type ending within the month are also included.
n

; ;

The revised statistical reporting instructions (ES-201) which
became effective in January of this year provide for quarterly
data on wages and monthly data on employment based on identical
firms reporting for consecutive calendar quarters. These data
will supplement the annual report on employment and pay rolls in
1940. They make available comprehensive information on industrial patterns of employment and pay rolls for the periods between
the dates at which annual reports are issued and further supplement similar data derived from business censuses.




- 3 This method of counting the number of employed workers is
similar to that used by the United States Bureau of Labor Statistics,
except that the latter agency requests an employment count for pay
periods ending nearest the 15th of each month.

Furthermore, unem-

ployment compensation reports make no distinction between types of
workers, i.e., wage earners, executive and office personnel, etc.
All persons who worked at some time during the last pay period of the
month and whose wages were subject to contributions are included in
the employment figures.
The pay-roll data presented in these volumes include as wages"
all cash remuneration for employment, as well as the cash value of
tips, bonuses, meals, etc., which are regarded as taxable wages under
most State laws.
Pay-roll data have been also reported monthly by employers,
either on a cash or accrued basis, for pay periods ending within the
month®

Because of the varying number of weeks which end in any one

month and also because of the wide variations in types of pay periods
found in different industries and areas, the monthly figures have
not been tabulated.

Instead, pay-roll data are shown only on a quar-

terly basis, which minimizes the distortion resulting from the variation in the number of pay periods included.
Industrial Classification - In order that the employment and
pay-roll data may be used effectively for studies that are undertaken, a uniform industrial classification system has been introduced




- 4 by State employment security agencies.1/ From the information
reported by the employer on his liability report^/ concerning the
nature of his business, it has been possible to assign a code number or numbers to identify the type or types of business activity
in which an employer is engaged. Under the industrial classification
procedure used by State agencies, each place of business is classified on the basis of its principal activity.

If, therefore, a firm

conducts different activities at its various establishments, separate
industry numbers are assigned to identify each industrial activity
and a contribution or supplemental report is submitted by an employer
for each such activity. For example, should a firm which operates a
manufacturing establishment also operate retail outlets, separate
employment and pay-roll data are reported for each activity. This
classification procedure permits accurate reports of employment and
pay rolls on an establishment basis without making it necessary for
employers to submit a detailed break-down for each separate establishment.
In most State agencies, the industry assignments are incorporated into the employer account number or account numbers assigned to

VAll State agencies, with the exception of Pennsylvania and TUisconsin,
had installed the code prior to 1938* Wisconsin had established
its own code prior to the introduction of the Social Security Board
Industrial Classification Code* (March 1937 edition) Lack of
information regarding the "nature of business* prevented Pennsylvania
from installing the code in 1938•
2/
The report which is used by the State agencies to determine whether
employers are liable or exempt from the provisions of the State
unemployment compensation laws.




the employer for identification purposes.

In addition to industry,

the account numbers usually identify the area of the State in which
the business is conducted*

These area identifications rsake it pos-

sible for a State agency to compile series of employment and pay-roll
data for areas and communities within the State hitherto available
only for a few metropolitan areas.
The Industrial Classification Code of the Social Security Board,
designed primarily to serve the needs of the social security program,
is similar but not identical to industrial classification systems
used by other Federal agencies.

The content of each major industry

group for which data are presented may be ascertained by reference
to the 1937 edition of the code.

Coverage - Large groups of the working population are not
covered under the unemployment compensation program.

The coverage

provisions of the State unemployment compensation laws, therefore,
must be taken into consideration in connection with interpretation
of the employment and pay-roll data.
Liability of employers for unemployment compensation contributions depends upon two coverage conditions specified in the State
laws—the size-of-firm and the nature of the business.l/

"Size-of-

firm" is usually defined in terms of the number of workers employed
for some portion of a day, each day falling in a different week of the
year.

"Nature of business" is negatively defined in most State laws—

See Social Security Board, A Comparison of State Unemployment
Compensation Laws, Washington, D*C. August 1933 •




i.e., in terms of the employments exempt from the provisions of the
•unemployment compensation law. As a rule, the employments excluded
under most State laws correspond to those specified in section 1600
of the Internal Revenue Code.i/

These are:

1) Agricultural laborj
2) Domestic service in a private home;
3) Service performed as an officer or member of a crew of a
vessel on the navigable waters of the United States;
4) Service performed by an individual in the employ of his son,
daughter, or spouse, and service performed by a child under
the age of twenty-one in the employ of his father or mother;
5) Service performed in the employ of the United States
Government or of an instrumentality of the United States;
6) Service performed in the employ of a State, a political
subdivision thereof, or an instrumentality of one or more
States or political subdivisions;
7) Service performed in the employ of a corporation, community
chest, fund, or foundation, organized and operated exclusively for religious, charitable, scientific, literary, or
educational purposes, or for the prevention of cruelty to
children or animals, no part of the net earnings of which
inures to the benefit of any private shareholder or individual.

This section was formerly section 907 of Title IX of the Social
Security Act.




These provisions exempt certain types of employment in the
sense that wages earned in such employments are not subject to contributions, hence employers or firms engaged in a business v?hich
requires only such services are exempt from the liability provisions.
These, however, are not the only exempted employers.

As a conse-

quence of the joint conditions that govern liability for contributions, there will be certain employers who are engaged in subject
employments but who do not employ a specified number of workers for
a period of sufficient duration to make their liable for contributions.

In 19339 the "size-of-firrn" coverage provision varied as

follows:!/
8
7
5
4
3
1

or
or
or
or
or
or

more
more
more
more
more
more

workers
workers
workers
workers
workers
workers

23
1
1
9
2
10

StateSJ
State
State
States
States
States

As a general rule, the respective minimum number of workers specified
had to be employed during a portion of one day in each of twenty different weeks of the year.

The joint conditions of size-of-firm and sub-

ject employments result in some employers being exempt because they do
not operate their business over a long enough period in the year, even
though they employ more than the minimum number of workers for services

V
Most States permit elective coverage to employers of fewer workers
than specified in the State law.
2/
Includes Louisiana, which extended coverage to employers of 4 or more
workers, effective October 1, 1933.




covered by unemployment compensation laws.

Other groups of employers

operating the year round, employ workers in covered services, but
are exempt because they do not employ the minimum number specified
in the State law.

The former group is exemplified by highly seasonal

business enterprise, such as resort hotels, canneries, etc.; and the
latter group by retail trade, and service, such as groceries, filling
stations, etc.
Although it is difficult to determine either the number of
employers or the number of workers who are excluded because of the
size-of-firm limitations in the State laws, estimates indicate that
for the country as a infcole, between 10 and 15 percent of the workers
ordinarily engaged in subject employment are excluded.

In terms of

the total gainful worker population, about half are "covered" by
State unemployment compensation laws, i.e., they earn wages at some
time during the year for services performed in employments subject
to State laws.

If the self-employed were excluded from the gainful

worker population,approximately two-thirds of the remaining "wage
earners" would be covered by unemployment compensation.
In using the data for comparative purposes or for projecting
census data, account must be taken of the fact that the employment
data reported to the State agencies are necessarily based on the place
of employment. Hence, in those areas where there is a significant
amount of commuting across State lines, a correction factor must be
introduced in projecting data based on "place of residence•"

Data

for New York, Rhode Island, and the District of Columbia, for example,




- 9 -

-undoubtedly reflect employment of a significant number of workers
who reside in neighboring States. Although complete quantitative
evidence of migration among the States is not available, unemployment compensation operations have been influenced by such migration.
Since the report on employment and pay rolls in 1938 was the
first to be made by State employment security agencies to the Social
Security Board, it was anticipated that some States would be unable
to comply completely with the instructions for reporting these data.
As will be noted from the tabulations, no industry data are shown
for Pennsylvania, since that State agency had not at the time introduced the social security industrial classification code in its
employer identification system and largely for this reason no national
totals by industry are shown. Wisconsin data are included only in
the tabulations for divisions, and are omitted from the major industry tabulations, because in 1938 that State was using its own industrial classification system, pending the completion of the more
refined 1939 edition of the social security code.

Iii addition, there

are two other factors which affect the data—namely, delinquency on
the part of employers in submitting contribution reports to the State
agencies and errors made in classifying employers.
Although only inadequate data are available for determining
the degree to which delinquent submittal of employer contribution
reports affect the data, there is evidence that the factor is not significant in terms of the State employment and pay-roll pattern as a
whole.




The degree to which employment and pay rolls are understated

- 10 because of delinquency varies between States ana for the individual
major industry groups in each State. As a general rule, it was
found that delinquency was more significant among industry groups in
which small operating units predominate—such as trade and service~
than in the groups in which firms generally employ fairly large numbers of workers, as in manufacturing.

The coverage of the State law,

therefore, has a bearing on the importance of this factor.

Data for

States which extended coverage to employers of one or more workers
undoubtedly reflect a greater degree of delinquency than do the State
laws which limit coverage only to employers of eight or more. Despite
this delinquency factor, it is believed that there is no serious
understatement or distortion in the data.

The reports still out-

standing when books were closed for purposes of compilation related
chiefly to employment and pay rolls for December for those States
collecting contributions monthly and for the fourth quarter for those
States collecting every three months.

The trends exhibited by cer-

tain industries in some States suggest the possibility that the data
for the closing months of the year may be affected by this factor•
Sample checks of the accuracy of the coding of employers,
which have been subsequently made to this compilation, have revealed
some errors in coding.

Such errors were largely the result of incom-

plete information available at the time an employer was classified.
Certain difficulties in obtaining as much information as was necessary
prevented some State agencies from classifying a few of the employers
in strict accordance with recommended classification procedures.




- 11 Thus, selected major groups may include related activities in the
same industry*

With steady improvement in industrial classification

work, however, the classification assignments have become more reliable*
Another qualification to be noted relates to the pay-roll
data for New York and Michigan*

In 1938 both State laws limited tax-

able wages for unemployment compensation purposes to the first $3,000
of a worker's annual wages or salary from an individual employer*
Michigan, however, reported total wages for covered employments rather
than only the amount subject to contributions*

The aggregate amount

in excess of the taxable wages in this State is estimated as ranging
between 7 and 3 percent of the total wages for subject employment in
1938*

Pay-roll data for New York, on the other hand, represent only

the taxable amount, i.e., the first $3*000 in wages*

The amount of

wages excluded in this State is estimated to range between 12 and
15 percent of the total wages in subject employment in 1938•




Social Security Uses of the Data - The development of statistical reporting procedures designed to yield employment and pay-roll
data were directed toward actuarial needs of State agencies.

These

needs were recognized from the very beginning of work on development
of an unemployment compensation program in this country.

The lack

of adequate information even on a national basis was frequently
pointed out in the report of the Committee on Economic Security when
it was engaged in the development of draft legislation.^ Only with
the initiation of State unemployment compensation operations were
sufficiently comprehensive and reliable data on employment and
and unemployment to become available for use in analyzing contribution rates relative to a benefit formula that may be supported.^/
In this connection we have had an opportunity to profit from
British experience.

Sir Alfred Watson, the British actuary, noted

in 1920 that the failure to provide for the periodic collection of
employment data seriously handicapped his work.

One commentator on

the British experience observed that there was "little evidence of
effort to build the necessary statistical foundation" in the early
years; also that "the opportunities such a system offers to build
v

'
;
Social Security Board, Social Security in America, (United States
Government Printing Office, Washington, D.C., 1937)

2/

Although unemployment compensation contributions collected from
employers engaged in the various industrial activities are not
shown, approximations of employer contributions paid may be derived
by multiplying the pay-roll figures by the contribution rate prevailing in the respective States in 1938. All States required contributions of 2.7 percent of taxable wages with the exception of
the District of Columbia, Michigan and New York in which 3 percent
was required.




up, through internal records, a vast amount of useful information
seems not to have been capitalized by an Administration that has
labored honestly, but blindly.
Since State employment and pay-roll data have become available, they have been continuously used in determining the effect of
suggested changes in unemployment compensation legislation and in
the planning and administration of State systems.

Local area employ-

ment and pay-roll data provide some basis for the location and staffing of public employment offices.

Moreover, the problem of seasonality

of operations and its relation to unemployment compensation has been
analyzed primarily on the basis of employment data for industries
characterized by regularly recurring fluctuations.

As further refine-

ment in industrial classification is introduced, the data will become
increasingly useful, and more careful analyses of State industrial
patterns and activities will be possible.
From the administrative standpoint, there is a variety of
ways in which employment data for covered industries may be used in
connection with the placement function of the employment security
program.

For example, the availability of employment records for

each subject employer enables the public employment service to
know the seasonal fluctuations in employment of employers. With
this information, the employment service is able to plan its field
visits in order to effect the maximum economy and efficiency
v
Eeede, Arthur Hallam. The Actuarial Aspect of Unemployment
Insurance: British Experience, p. 28. State College, Pennsylvania.
1936.




- u

-

in finding jobs for workers registered with the local employment
offices.

In addition to knowing when employers generally expand

their working forces, this information aids in determining the
effectiveness of the placement work of the employment service and
indicates the industries and the employers who utilize the local
placement service•
The Industrial Distribution of Covered Employment - One important value of the data for 1933 lies in the fact that they provide
a bench mark hitherto not available.

Although the year was character-

ized for the most part by depressed employment conditions, the
distribution of employment and pay rolls according to industry divisions and major industry groups provides a fairly reliable measure
of the relative importance of the respective industries in the State.
It is to be remembered, however, that these distributions are based
on the subject employments in the States and are therefore affected
by the size-of-firm provisions of the State laws.

Consideration

must be given to this in any comparison made among States and among
industries within the different States.
Concentration of covered employment and pay rolls in the different industries is evident from the data shown for the individual
States.

In terms of the broad major divisions, it is observed that,

as a general rule, there is a decided concentration of both employment and pay rolls in manufacturing.

Both North and South Carolina

show the most extreme concentration in manufacturing, with about




- 15 two-thirds of their covered -workers ordinarily engaged in that type
of activity, principally in textile manufacturing*

Connecticut,

New Hampshire, and Rhode Island follow closely, with over 60 percent
of their 1938 employment in manufacturing*

While manufacturing in

Connecticut is comprised of diversified industries, it is largely
concentrated in shoe production in New Hampshire and in woolens in
Rhode Island. Maine and Michigan had 58 percent of their covered
employment in manufacturing.

Textiles and shoe manufacturing domi-

nate the Maine pattern, while the automotive industry predominates
in Michigan.

To a considerable degree, therefore, these industries

which dominate the pattern for the States will significantly affect
the operations of the unemployment compensation system.

The lack

of diversification of industry within a State will in most instances
make pooling of risks difficult and implies that during recession
periods of the business cycle, there may be a severe drain on the
funds of these agencies, assuming that benefits are adequate to meet
the hazards of unemployment.

Although a considerable number of other

States exhibit concentrations of over half their covered workers in
manufacturing, the distribution of employment within that type of
activity evidences no such pronounced dependence on the level of
operations in a single kind of business.

At the other extreme are

the District of Columbia, Nevada, New Mexico, and Wyoming, which
have 10 percent or less of their employment in oovered industries
concentrated in manufacturing.
The next largest area of concentration in most States is in
trade.




In no instance, however, does it comprise more than U2 percent,

- 16 which is the proportion shown for North Dakota.

The District of

Columbia and South Dakota closely follow with U1 and 38 percent,
respectively.

Trade comprised between 20 and 30 percent inclusive

of all covered employment in 27 States.

Aside from Alaska, the

smallest degree of concentration in trade exists in West Virginia
and the Carolinas.
The proportion of employment in the construction industry in
no instance exceeded 10 percent.

The greatest degree of concentration

for this activity is shown in the District of Columbia, Mississippi,
and Wyoming*

In 38 States, however, 5 percent or less of the covered

employment is found to be in the construction industry.

This relar-

tively small proportion is explained partly by the fact that the construction industry operated at a fairly low level in 1938 and also
because the coverage provisions probably exclude many firms engaged
in construction work.
Transportation, communication, and utilities, collectively,
comprise between 10 and 20 percent inclusive of covered employment
in each of 36 States.^ The highest proportions in this group are
shown for the Great Plains and fountain States, due largely to the
relatively large number of workers employed in the railroad industry.
Relatively few States are found to have any significant proportion of covered workers employed in mining and quarrying activities.
In West Virginia, however, the influence of the mining industry,

VEffective July 1, 1939* the unemployment compensation program for
railroad -workers was transferred from the States to the Federal
Railroad Retirement Board, in accordance with the provisions of the
Railroad Unemployment Insurance Act.




- 17 chiefly bituminous coal, on unemployment compensation operations is
evidenced by the fact that 38 percent of the covered employment is
concentrated in that activity.

In no other State does the mining

industry represent such an important source of employment, although
in Alaska, over 30 percent of the covered workers are engaged in
mining.

In 3 of the Mountain States—Nevada, New Mexico, and

?/yoming—mining operations account for more than 20 percent of the
total covered employment.

Kentucky also showed a concentration of

20 percent in mining, principally in the bituminous coal industry.
The service division represents a combination of various types
of services, including business, personal, and professional service.
Hotels, amusements, and personal service enterprises, such as
laundries, comprise the major portion of this group.

Exclusive of

Alaska, the relative importance of this group to total covered
employment ranges from U percent in West Virginia to 19 percent in
the District of Columbia. In 38 of the 50 jurisdictions shown,
service accounts for 5 to 10 percent inclusive of the total covered
worker employment.
Delaware is the only State to show any sizable proportion of
employment in the miscellaneous group designated "other."

This

reflects employment in holding companies and administrative offices.
Another relatively important group in the mscellaneous division is
"logging and lumber camps not attached to sawmills and logging
contractors."

In Maine and the Western States, such activity con-

stitutes most of this group.




Fluctuation in State Employment and Fay Rolls - The seasonality
ox industrial operations in this country has been given increasing
attention during the past few years, not only because of the problems
it presents to the operations of an unemployment compensation system
but also because of its implications in the planning of work projects
and other social programs directed toward unemployment relief. Up
to the present, very little data have been available with respect
to the magnitude of the problem and practically no data are available
on the socio-economic characteristics of the workers vtho are employed
in highly seasonal industries.

The data presented in this monograph

represent the most comprehensive tabulations of monthly employment
and quarterly wage data that have been hitherto compiled on a State
basis.

Because seasonal unemployment is a recurring risk of consider-

able importance in some States, a few State laws have placed restrictions on the benefit rights of workers who earn wages in highly
seasonal industries.

Apart from this factor, States with seasonal

industries or with industries whose seasonal pattern presents sharp
fluctuations are concerned with the administrative implications for
unemployment compensation.
The year 1938 for the country as a whole was characterized by
a continuation of the precipitous reduction in employment and pay
rolls which began in the fall of 1937.

The decline from the 1937

peak to the 1938 low is probably the most extreme ever to occur in
such a short period of time.

Since the major part of the decline

occurred in 1937, the levels of employment and pay rolls in 1938 fail




- 19 to reflect the volume of unemployment among the covered worker group
at the low point in 1938•

Furthermore, since the decline in the

fall of 1937 was "contra-seasonal for many industries, the data for
1938 in terms of the normal seasonal pattern tend to be distorted
for a number of States*
As a general rule the States with diversified industries tend
to show the minimum difference in employment between the low and
high months of 1933 • There were 25 States which showed a variation
of 10 percent or lessj however, in 11 States, there was a difference
of 5 percent or less over the 12-month period^

This group was

largely comprised of the States in which manufacturing of a diversified character employs the largest number of covered workers*

The

only exception to this generalization occurs in the case of Kansas
and Oklahoma, where a few stable manufacturing industries dominate
the employment pattern*
A middle group of 17 States showed from 10 to 20 percent
variation from the high to the low month of employment*

This group

was largely comprised of States of relatively small or sparse populations*
Although 8 States showed variations of 20 percent or more,
the maximum difference in employment between the low and high month
occurred in Alaska, because of the extreme variation in the operations
V

'
~
Excludes Virginia, for which first quarter data were not reported*




of the fish canneries.

Marked fluctuations also occurred in the

other States of this group.
The quarterly pattern of pay rolls in covered industries was
somewhat different from the employment pattern described above.

This

may be accounted for by the fact that a large number of workers were
at times not fully employed and hence suffered some loss of earnings.
The pay-roll data are shown for quarters only, with the result that
the fluctuations within a quarter are not reflected.

Despite this,

all but 3 of the 24 States which showed less than a 10 percent variation between the high and low months of employment in 1938 had a
somewhat larger variation from the low to the high quarter of pay
rolls#^/ Indeed, some of these States with comparatively little
fluctuation in enqployment in 1938 exhibited extreme variations in
pay rollsj such variations were almost as sharp as the pay-roll
variations in States with the maximum fluctuations in employment.
Outstanding among the States with relatively stable employment and
fluctuating pay rolls were Connecticut, Indiana, Massachusetts, and
New Jersey.

In Massachusetts, employment varied only 5 Percent while

pay rolls varied 17 percent.

On the whole, States with variations

in employment ranging from 10 to 20 percent showed similar variations
in pay rolls, although Delaware, Rhode Island, and Vermont had somewhat larger pay-roll fluctuations.

All of the States whose monthly

New York pay-roll data are excluded because they were not valid for
seasonal comparisons with other States; Virginia, because data were
reported only for 3 quarters.




- 21 employment varied as much as 20 percent, except Michigan and Nevada,
had somewhat smaller pay-roll fluctuations.
Since over-all data for the States tend to level out the
variations for any particular industry division and to an even greater
extent for any major industry group, a further analysis was made for
the manufacturing division.

A comparison of the measures of varia^-

tion between the low and high months of employment and the low and
high quarters of pay rolls in covered manufacturing employment is
shown in the following table:




Ratios of Low to High Month of Employment and
w
Low to High Quarter of Fay Rolls in Manufacturing, 193o
(In percentages)

State
Kansas
Ne'.v Jersey
Llissouri
District of
Columbia
Ohio
Wisconsin
Texas
Oklahoma
North Carolina
Illinois
Maryland
Massachusetts
Nebraska
Connecticut
Georgia
New York
Indiana
Alabama
South Carolina
Tennessee
Vermont
Arizona
New Hampshire

Employment

Pay Roll

96
95
95

92
85
85

95
94
94
93
93
92
92
91
2/91
91
91
91
90
90
90
89
89
89
89
89

89
83
91
91
93
81
87
83
84
84
80
81
(3)
79
85
83
81
83
86
88

State
West Virginia
Maine
Iowa
Minnesota
Mississippi
Nevada
Arkansas
Kentucky
California
Washington
South Dakota
New Mexico
Rhode Island
Florida
Delaware
Montana
Colorado
Oregon
Utah
Michigan
North Dakota
Wyoming
Hawaii
Idaho
Alaska

Employment

Fay Roll

87
87
87
87
86
86
86
85
83
83
83
4/82
82
81
78
78
77
74
72
69
68
64
62
59
8

83
90
84
86
86
81
86
80
85
86
80
83
77
85
83
82
77
75
80
67
75
67
74
60
7

V Excludes Pennsylvania, for which data were not reported; Louisiana, which
extended its coverage October 1, 1938; and Virginia, which did not report
first quarter data.

2/

Based on auarterly data.

2/
U

Not comparable because taxable wages were limited to the first $3>000 of
a worker's annual earnings with an individual employer.

Based on eight months1 data.




- 23 It is evident from these data that wide differences in the
degree of variation exist among the States.

These differences

would probably assume even greater proportions if pay-roll data
were available on a monthly basis.

On the other hand, if the varia-

tions in employment were measured on the basis of the average
monthly employment per quarter, it is doubtful v/hether any significant differences would result between that measure and the one computed on a monthly basis, because the low ana high months of
employment tended to be typical of the quarter in which these months
occurred.




AVERAGE MONTHLY EMPLOYMENT OF COVERED
WORKERS BY INDUSTRY DIVISIONS, 1938+
PERCENT
* * *
S.C.

(8)

N.C.

(8)

R.I.

(4)

N.H.

(4)

CONN.

(5)

MICH.

(8)

MAINE

(8)

N.J.

(8)

IND.

(8)

WIS.

(7)

MASS.

(8)

ALA.

(8)

HAWAII

(1)

GA.

(8)

OHIO

(3)

VT.

(8)

TENN.

(8)

MISS.

(8)

ILL.

(8)

MD.

(8)

VA.

(8)

M0.

(8)
(4)

N.Y.

80

60

40
—I—

20

100

iwM/m/w/jmz
MPkM;';:!:;:
'•TOM
w

•MMMy/mmm?.
iWMMmmmmEi

w/////////////////////////////////^^
1W//////////M///M//M/M-\
W//////////^
mw/////////^

DEL.

( 1 )
ALASKA ( 8 )
0REG.

(4)

WASH.

(8)

W////////////M-

^mm

LA*(8) -(4)
IOWA

(8)

ARK.
W.VA.

( 1 )
(8)

KY.

(4)

CALIF.

(4)

FLA.

(8)

MINN.
TEX.

( 1 )
(8)

KANS.

(8)

NEBR.

(8)

UTAH

(4)

COLO.

(8)

OKLA.

(8)

IDAHO

( 1)

S.DAK.

(8)

MONT.

(1)

ARIZ.

(3)

N.DAK.

(8)

WYO.

( 1 )

N.MEX.

(4)

D.C.

( 1 )

NEV.

( 1)
• I

IMIE
^

w///////////////mr




•EC
.'rmm.

m :

'•^wwi1

IE

m :

^

MANUFACTURING
CONSTRUCTION

z

s
X
^ ^
H i

WHOLESALE AND RETAIL TRADE
MINING

E S 3 TRANSPORTATION, COMMUNICATION, AND UTILITIES

ESS] FINANCE, INSURANCE, AND REAL ESTATE

[ H I SERVICE

+ SEE TABLE 2 FOR EXPLANATORY FOOTNOTES
* * * FIGURES D E N O T E M I N I M U M S I Z E - 0 F - F I R M INCLUSION
* EFFECTIVE OCT. I, 1938, CHANGE IN COVERAGE FROM 8 TO 4 OR MORE WORKERS

OTHER

WAGES EARNED IN COVERED EMPLOYMENT
BY INDUSTRY DIVISIONS, 1938+
20

* * *

MICH.

(8)

S. C.

(8)

N.C.

(8)

N.H.

(4)

R.I.

(4)

IND.

(8)

CONN.

(5)

N.J.

(8)

WIS.

(7)

MAINE

(8)

OHIO

(3)

ALA.

(8)

MASS.

(8)

VT.

(8)

MD.

(8)

ILL.

(8)

TENN.

(8)

GA.

(8)

0REG.

(4)

VA.

(8)

M0.

(8)

HAWAII

(1)

MISS.

(8)

N. Y.

(4)

WASH.

(8)

IOWA

(8)

PERCENT

40

80

60

100

wfr/////////^
w////////////^

wmw/////////////m-.
^////////////////////mm
M T

IE

jmmmmmms^z
VmmW/mmmM1'
1

tmsssswwt

W////////////A:-.

ALASKA ( 8 )
DEL.

(1)
LA*(8)-•(4)

W. VA.

(8)

KY.

(4)

MINN.

(1)
(4)

CALIF.
ARK.

(1)

KANS.

(8)

TEXAS

(8)

NEBR.

(8)

FLA.

(8)

COLO.

(8)

IDAHO
UTAH

( 1)
(4)

0KLA.

(8)

S. DAK.

(8)

MONT.

( 1)

ARIZ.

(3)

N. DAK.

(8)

D. C.

(1)

WY0.

(1)

N. MEX.

(4)

NEV.

(1)

• •

ZESS
'•raaaar
JSZ
w///////////////////////////^^^^^
m
W/////////////////E.

m//////////////////////////////////^^^^^
[M
M E
IES

izm
treese

rmr
im
1

CONSTRUCTION




PMWWWW
rr—

W////M

MANUFA
^ ^

Tim

WHOLESALE AND RETAIL TRADE
O H ] MINING

+ S E E T A B L E 102 FOR E X P L A N A T O R Y
* * * FIGURES

TRANSPORTATION, COMMUNICATION

£ £ 3 FINANCE, INSURANCE AND REAL ESTATE

H H

SERVICE

FOOTNOTES

DENOTE MINIMUM S I Z E - 0 F - F I R M

INCLUSION

* E F F E C T I V E OCT. 1,1938, CHANGE IN COVERAGE F R O M 8 T O 4 OR M O R E W O R K E R S

AND

UTILITIES

C Z D OTHER

:

WAGES EARNED IN COVERED EMPLOYMENT
BY INDUSTRY DIVISIONS, 1938+
PERCENT
20

40

80

60

100

TOM
v///////////////////MmF-

raffias
IE

M T

'KM K W

W////////////A.
W///////////////ZZF
•ac

Mf/////////////////^^^

zsss
••fWMKWNWN
•••'mm^
mm".

TMT
w
1

•.••mm vmm
m m m ^

tsxwm1
'

•

MANUFACTURING
CONSTRUCTION




^ ^

WHOLESALE AND RETAIL TRADE

f ^ l i MINING

t

o

™

,

EHHH} TRANSPORTATION, COMMUNICATION

E ^ l FINANCE, INSURANCE AND REAL ESTATE

t SEE TABLE 102 FOR EXPLANATORY

^ H

SERVICE

FOOTNOTES

* * * FIGURES DENOTE MINIMUM S I Z E - 0 F - F I R M INCLUSION
* E F F E C T I V E OCT. 1,1938, CHANGE IN COVERAGE FROM 8 TO 4 OR MORE WORKERS

AND
I

UTILITIES
I OTHER

KENTUCKY:
COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR M O R E W O R K E R S )
THOUSANDS




* F I NANCE,

MAY

JULY

INSURANCE,

AND

SEPT.
REAL

ESTATE

1938

KENTUCKY: C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR MORE

DIVISIONS, 1938
WORKERS)

THOUSANDS

JAN.




MAR.
* F I NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

KENTUCKY:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT

BY

INCLUSION

4.

-

INDUSTRIAL
OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

JAN.




MAR.
* F I NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

ARKANSAS:

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

INCLUSION

BY
-

INDUSTRIAL
1

OR M O R E

DIVISIONS,

1933

WORKER)

THOUSANDS

oi
JAN




MAR.
•FINANCE,

MAY

JULY

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV.

CALIFORNIA:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT
INCLUSION

BY
-

INDUSTRIAL
4

OR

MORE

DIVISIONS,

1938

WORKERS)

THOUSANDS

1 ,400

1 ,200

1 ,000

200

.......

,

.

<f

<

01
JAN.




MAR »

MAY

JULY

SEPT.

NOV •

SOUTHD A K O T A :C O V E R E D E M P L O Y M E N T
(SIZE-OF-FIRM

INCLUSION

-

BY
3

INDUSTRIAL

OR M O R E

DIVISIONS,

1933

WORKERS)

THOUSANDS

150




MAR.
* FI N A N C E ,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

CONNECTICUT:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT
INCLUSION

BY
-

INDUSTRIAL
5 OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

450

400

350

300

250

200

150

100

EBCES^
0|
JAN.




MAR ,

MAY

JULY

SEPT,

NOV.

KENTUCKY:
COVERED EMPLOYMENT BY I N D U S T R I A L
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR M O R E

DIVISIONS,
WORKERS)

1938

THOUSANDS




MAR.
* F I NANCE,

MAY

JULY

INSURANCE,

AND

SEPT«
REAL

ESTATE

NOV.

DISTRICT

OF

COLUMBIA:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT

INCLUSION

-

1

BY

INDUSTRIAL

OR M O R E

DIVISIONS,

WORKERS)

THOUSANDS




MAR .

MAY

JULY

SEPT.

NOV.

1938

SOUTH DAKOTA: C O V E R E D

EMPLOYMENT

(SIZE-OF-FIRM

BY

INCLUSION

-

INDUSTRIAL
3

OR M O R E

DIVISIONS,

1933

WORKERS)

THOUSANDS

•ysfy.y&y/yyyssy.

%mm

0
JAN.




MAR.
* FI

NANCE,

MAY

JULY

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV.

MASSACHUSETTS:AVERAGEC O V E R E D

EMPLOYMENT

(SIZE-OF-FIRM

BY

INCLUSION

INDUSTRIAL
-

8

OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

350

300

250

200

150

100




JAN.

MAR.
*FI N A N C E ,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

RHODEISLAND:C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - U OR M O R E W O R K E R S )

1938

THOUSANDS

100

0]
JAN'




111«|«||||||:
MAR.
* FI NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

SOUTH

DAKOTA: C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L D I V I S I O N S , 1 9 3 3
( S I Z E - O F - F I R M I N C L U S I O N - 3 OR M O R E W O R K E R S )

THOUSANDS

WMmztz/",

0

JAN,




eHaia
MAR.

MAY

JULY

*

INSURANCE,

AND R E A L

F I NANCE,

SEPT.
ESTATE

NOV.

CALIFORNIA: C O V E R E D E M P L O Y M E N T B Y
( S I Z E - O F - F I R M INCLUSION THOUSANDS

INDUSTRIAL DIVISIONS,
4 OR M O R E W O R K E R S )

1938

1,600

1,400

1,200

1,000




MAR »

MAY

JULY

SEPT.

NOV •

KENTUCKY:

COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR M O R E W O R K E R S )

1938

THOUSANDS

560

480

400
MANUFACTURING

320




•M-

CONSTRUCTION

MAR.

MAY

JULY

* F I NANCE,

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV.

SOUTHDAKOTA:C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L D I V I S I O N S , 1 9 3 3
( S I Z E - O F - F I R M I N C L U S I O N - 3 OR M O R E W O R K E R S )
THOUSANDS




MAR •
* FI NANCE,

SEPT.

JULY
INSURANCE,

AND

REAL

ESTATE

NOV.

KANSAS:

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

BY

INCLUSION

INDUSTRIAL
-

8

OR M O R E

DIVISIONS,

1933

WORKERS)

THOUSANDS

Ol
JAN.




MAR.

MAY

JULY

* FI NANCE,

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV,

K E N T U C K Y : COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR M O R E W O R K E R S )
THOUSANDS

300

250




* F I NANCE,

INSURANCE,

AND R E A L

ESTATE

1938

LOUISIANA:

COVERED

(SIZE-OF-FIRM
WORKERS

-

EMPLOYMENT
INCLUSION
OCT.-DEC.,

BY
-

INDUSTRIAL

JAN.-SEPT.,
U

OR M O R E

DIVISIONS,
8

OR

1938

MORE

WORKERS)

THOUSANDS

mmmfflMmmMMB

rai:iaia

o
JAN.




MAR.
•FINANCE,

MAY
INSURANCE,

JULY
£ND

SEPT.
REAL

ESTATE

NOV.

SOUTH

DAKOTA:

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

BY

INCLUSION

INDUSTRIAL
-

3

DIVISIONS,

OR M O R E

1933

WORKERS)

THOUSANDS




MANUFACTUR

* FI NANCE,

MAY

JULY

INSURANCE,

AND

\G

SEPT,
REAL

ESTATE

NOV.

MARYLAND: COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - U OR M O R E W O R K E R S )

1933

THOUSANDS




MAR.

JULY

SEPT.

NOV.

MASSACHUSETTS: AVERAGE COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 8 OR M O R E W O R K E R S )
THOUSANDS

1938

MANUFACTURING

_

CONSTRUCTION

WHOLESALE
RETAIL

AND

TRADE

TRANSPORTATION,
COMMUNICATION,
AND

UTILITIES

SERVICE
-OTHER
FIRST
QUARTER




SECOND

THIRD

QUARTER

QUARTER

* F I NANCE,

INSURANCE,

FOURTH

AND

QUARTER

REAL

ESTATE

KENTUCKY:

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

BY

INDUSTRIAL

INCLUSION

-

4.

OR

DIVISIONS,

MORE

1938

WORKERS)

THOUSANDS

1,000

900

JAN.




MAR.
* F I NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

MINNESOTA:

COVERED

EMPLOYMENT

(SI ZE-OF-FIRM

INCLUSION

BY
-

INDIJSTRIAL
1 OR M O R E

DIVISIONS,

1933

WORKERS)

THOUSANDS

4-50

400




SE RT ,

NOV.

NORTH CAROLINA:

COVERED EMPLOYMENT
( S I Z E - O F - F I R M INCLUSION

BY I N D U S T R I A L D I V I S I O N S ,
- 8 OR M O R E W O R K E R S )

1938

THOUSANDS

1201

100




JULY
*FI N A N C E ,

INSURANCE,

AND

REAL

SEPT.
ESTATE

NOV,

C O N N E C T I C U T :

COVERED

(SIZE-OF-FIRM

EMPLOYMENT

INCLUSION

-

5

BY

INDUSTRIAL

OR M O R E

DIVISIONS, 1938

WORKERS)

THOUSANDS

600!

01
JAN.




MAR ,

MAY

JULY

SEPT,

NOV.

KENTUCKY: C O V E R E D

EMPLOYMENT

(SIZE-OF-FIRM

BY

INCLUSION

INDUSTRIAL
-

4.

OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS




MAR.
* F I NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

C

A

L

I

F

O

R

N

I

A

:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT

INCLUSION

-

4

BY

OR M O R E

INDUSTRIAL

DIVISIONS,

WORKERS)

THOUSANDS

ill I l i i

Ol
JAN.




MAR »

MAY

JULY

tillilll WmM.
SEPT.

NOV •

1938

KENTUCKY:

C O V E R E D E M P L O Y M E N T BY
( S I Z E - O F - F I R M INCLUSION

INDUSTRIAL DIVISIONS,
- 4. OR M O R E W O R K E R S )

1938

THOUSANDS




MAR.
* F I NANCE,

MAY

JULY

INSURANCE,

AND

SEPT,
REAL

ESTATE

NGV.

NEW H A M P S H I R E :

COVERED EMPLOYMENT

(SIZE-OF-FIRM

INCLUSION

BY
-

INDUSTRIAL

U OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

100

80

MANUF ACTU

ING

60




CONSTRUCTION

JULY
* F I NANCE|

INSURANCE,

AND R E A L

SEPT.
ESTATE

NOV.

CALIFORNIA:

COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
1938
( S I Z E - O F - F I R M I N C L U S I O N - 4 OR M O R E W O R K E R S )

THOUSANDS

900

800

700

600

MANUFACTURING

500

400

300

200

100

iJllll

w p i i W

01
JAN.




MAR »

MAY

JULY

SEPT.

NOV •

NEW M E X I C O :

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

INCLUSION

BY
-

INDUSTRIAL
A

OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

U5




MAR.
* F I NANCE,

JUNE
INSURANCE,

AUG.
AND

REAL

ESTATE

OCT.

D£C<

NEW Y O R K : C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L D I V I S I O N S ,
S I Z E - O F - F I R M I N C L U S I O N - 4 OR M O R E W O R K E R S )

1933

THOUSANDS

3,000

2,500

2,000

1,500

1,000

, rnTTttvn
y.

kw^i i w w i

" -* '

-

-

ol
JAN.
NOTE:



MAR.
EXCLUDES

DOMESTIC

MAY
SERVICE,

JULY
ALTHOUGH

SEPT.
COVERED

NOV.
BY

STATE

LAW

NORTH C A R O L I N A : COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 8 OR M O R E W O R K E R S )

1938

THOUSANDS

450

400

350

300
MA N U F A C T U R

NG

250

200

150

100

50

0
JAN.




^msua
MAR.
*FI N A N C E ,

MAY
INSURANCE,

JULY
AND

REAL

SEPT.
ESTATE

NOV,

NORTH

CAROLINA: C O V E R E D
(SIZE-OF-FIRM

EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
I N C L U S I O N - 8 OR MORE W O R K E R S )

1938

THOUSANDS




MAR.
* F I NANCE,

MAY

JULY

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV,

RHODE

ISLAND: C O V E R E D E M P L O Y M E N T B Y

INDUSTRIAL

(SIZE-OF-FIRM

U

INCLUSION

-

OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

1 ,4.00

1,200

1,000

MANYFACJIJR ING

800

C O N S T R U C T I ON

s

/ J,

Ol
JAN.




MAR.
* FI NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

KENTUCKY: C O V E R E D E M P L O Y M E N T B Y I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - 4. OR M O R E W O R K E R S )

1938

THOUSANDS




MAR.

MAY

JULY

*

INSURANCE,

AND R E A L

F I NANCE,

SEPT.
ESTATE

NOV.

OREGON: COVERED EMPLOYMENT BY I N D U S T R I A L D I V I S I O N S ,
( S I Z E - O F - F I R M I N C L U S I O N - U OR Uont W O R K E R S )
THOUSANDS

1933

,
^

/

^

S/s
, 's

0
JAN.




MAR.
•FINANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

-

,
-

,
' I

-

RHODE

ISLAND:

COVERED EMPLOYMENT BY

(SIZE-OF-FIRM

INCLUSION

-

INDUSTRIAL

U OR M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

200

175

150

125
MANUFACTURING

100

75

50

25

0|
JAN.




MAR.
* FI NANCE,

MAY
INSURANCE,

JULY
AND

SEPT.
REAL

ESTATE

NOV.

SOUTH CAROLINA: COVERED EMPLOYMENT
( S I Z E - O F - F I R M INCLUSION -

BY I N D U S T R I A L D I V I S I O N S ,
8 OR M O R E W O R K E R S )

1938

THOUSANDS

200

175

150

MANUFACTURING

125

;

100

75

50

25

snais^
ol
JAN.




MAR.
•FINANCE,

MAY
INSURANCE,

JULY
AND

REAL

SEPT.
ESTATE

NOV.

SOUTH

DAKOTA:

COVERED

(SIZE-OF-FIRM

EMPLOYMENT
INCLUSION

-

BY
3

INDUSTRIAL
OR M O R E

DIVISIONS,

1933

WORKERS)

THOUSANDS

Ol
JAN.




MAR.
* FI

NANCE,

MAY

JULY

INSURANCE,

AND

SEPT.
REAL

ESTATE

NOV.

TENNESSEE:

COVERED

EMPLOYMENT

(SIZE-OF-FIRM

INCLUSION

BY
-

INDUSTRIAL
8

OH M O R E

DIVISIONS,

1938

WORKERS)

THOUSANDS

MANUFACTURE NG

200

150

100

n:rnm

wmwm

ol
JAN.




MAR.
* F I NANCE

MAY
9

INSURANCE,

JULY
AND

REAL

SEPT.
ESTATE

NOV.

KENTUCKY: C O V E R E D

EMPLOYMENT

(SIZE-OF-FIRM

BY

INDUSTRIAL

INCLUSION

-

4.

DIVISIONS,

OR M O R E

1938

WORKERS)

THOUSANDS

JAN.




MAR.

MAY

JULY

*

INSURANCE,

AND

F I NANCE,

SEPT«
REAL

ESTATE

NOV ,

REGION W : TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF DOLLARS

120

100

2ND.
3RD.
QUARTER
MILLIONS OF DOLLARS

120

WEST VIRGINIA

100




2ND.
3RD
QUARTER
* N 0 T E VARIABLE

2ND.
3RD.
QUARTER
SCALE

REGION Y : TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF D O L L A R S

100

2ND.
3RD.
QUARTER
MILLIONS OF D O L L A R S

600 OHIO

480

4TH.

MICHIGAN
(INCLUDES UNTAXED WAGES
IN EXCESS OF $ 3 0 0 0 )

500

400

300

200




—

M

1ST.

—

M

—

2ND.
3RD.
QUARTER

4TH.

* N O T E VARIABLE

1ST.
SCALES

2ND.
3RD.
QUARTER

4TH.

REGION YL: TAXABLE WAGES, 1 9 3 8 *
M I L L I O N S OF D O L L A R S
700

600

500

400

300

200

2ND.
3RD.
QUARTER

4TH.

MILLIONS OF DOLLARS
200'

150




2ND.
3RD.
QUARTER

2ND.
3RD,
QUARTER
* N O T E VARIABLE

SCALES

REGION 3ZEE: TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF DOLLARS




1ST.

2ND.
3RD.
QUARTER

4TH.

* N O T E VARIABLE

1ST.
SCALES

2ND.
3RD.
QUARTER

4TH.

REGION

TAXABLE WAGES, 1 9 3 8 *

YIIL:

MILLIONS OF DOLLARS
140

2ND.
3RD.
QUARTER

4TH.

MILLIONS OF D O L L A R S

100




2ND.
3RD.
QUARTER
*NOTE

2ND.
3RD.
QUARTER
VARIABLE

SCALES

4TH.

REGION I K : TAXABLE WAGES, 1938 *
MILLIONS OF D O L L A R S

200




OKLAHOMA

1ST.

2ND.
3RD.
QUARTER

4TH.

* N O T E VARIABLE

1ST.
SCALES

2ND.
3RD.
QUARTER

4TH.

REGION X : TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF DOLLARS
225

200

1ST.

2ND.
3RD.
QUARTER

4TH.

MILLIONS OF D O L L A R S

100




1ST.

2ND.
3RD.
QUARTER

4TH.

* NOTE VARIABLE

1ST.
SCALES

2ND.
3RD.
QUARTER

4TH.

REGION X I : TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF DOLLARS




2ND
3RD
QUARTER

4TH

*NOTE

VARIABLE

2ND
3RD
QUARTER
SCALES

REGION 3 H : TAXABLE WAGES, 1 9 3 8 *
MILLIONS OF D O L L A R S

600

500

400

300

200

NEVADA




mm*

^m

3RD.

4TH.

ALASKA

HH -.1
1ST.

2ND.

1ST.

QUARTER

* N O T E VARIABLE

SCALES

2ND.
3RD.
QUARTER