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The Economy in Perspective
by Mark Sniderman

We may reason on to our heart’s content, the
fog won’t lift.
—Samuel Beckett, 1967

FRB Cleveland • June 2006

To better understand today’s economic and policy
environment, go back about 10 years. The stock market was running in high gear, but some market
observers began to predict a major market correction, especially in the tech-sector-rich NASDAQ. In
1996, Alan Greenspan, then Federal Reserve Board
chairman, made a widely quoted remark about irrational exuberance in the stock market. Eventually the
market did collapse, the tech sector most spectacularly, but the years that elapsed between the initial
warnings and the correction that began in April 2000
illustrate the difficulties of accurately predicting even
seemingly obvious events.
Unlike the equity market crash, which was widely
anticipated, the recession that began in March 2001
and lasted until November appeared to take nearly
everyone by surprise, despite the now-obvious connection between these two developments. The Federal Reserve’s industrial production index peaked in
March 2000, coincident with the NASDAQ’s zenith,
but most forecasters expected the economy’s
growth rate to moderate to a pace that would be consistent with stable inflation.
For example, in the FOMC’s mid-year Monetary
Policy Report to the Congress of July 2000, most of
the Federal Reserve governors and Reserve Bank
presidents reported that they expected real GDP to
1
expand in the range of 4 to 4 /2 percent in 2000; as it
happened, real GDP advanced by 3.7 percent in
2000, short of the projection (but still within the confidence ranges of very good economic forecasters).
Seasoned forecasters continued struggling to
keep up with the deterioration in economic conditions. Using the FOMC as an example again, in July
2000, the governors and presidents looked for
1
3
growth to slow to a pace in the range of 3 /4 to 3 /4
percent in 2001. Six months later, in February 2001,
they revised down their 2001 projection for real
1
GDP to the range of 2 to 2 /2 percent. In July, the majority of the panel members downgraded their out1
look once again, this time to the range of 1 /4 to 2
percent. In hindsight, we know that the actual
growth rate was 0.8 percent and that a recession
was already underway at the time of the July report.

The Federal Reserve had been raising its federal
funds rate target from mid-1999 to mid-2000 in the
face of a strong economy and concerns about an
intensification of inflationary pressures. The FOMC
had maintained a 5 percent target from the start
of 1999 until its June meeting, when it raised the
1
target to 5 /4 percent. The target gradually rose to
6 percent and, in May 2000, the Committee boosted
1
it to 6 /2 percent. According to the minutes of that
meeting, “[t]he members saw little risk in a relatively aggressive policy move, given the strong momentum of the expansion and widespread market
expectations of such a move. The greater risk to the
economic expansion at this point was for policy to
be too sluggish in adjusting, thereby allowing inflationary disturbances and dislocations to build…”
1
The funds rate target remained at 6 /2 percent until
the FOMC conferred by telephone on January 3,
2001, and agreed to cut the rate by 50 basis points.
3
A year later the rate stood at 1 /4 percent; it would
eventually bottom out at 1 percent and remain
there for a considerable time.
The point is not to cast aspersions on the Federal
Reserve’s economic projections, for academic studies indicate that the FOMC has access to the best
forecasts available. Moreover, the record clearly
shows that the FOMC was right to regard inflation
as a serious threat to the economy. Despite the
FOMC’s strenuous actions to contain inflation and
inflation expectations, the CPI minus food and
3
energy (the core CPI) increased by 2 /4 percent in
2000 and 2001, even higher than the year-over-year
readings of the core CPI that have been so disconcerting recently.
It would be easy today to say that the FOMC
would not have followed as restrictive a course of
action if it had known then what we know now, but
it would also be vacuous to say so. The recession,
which was relatively brief and shallow, might well
have come anyway, and inflation might not have
been subdued. There are no certainties when it
comes to positing alternative futures. Our recent
history reminds us, if we need reminding, that even
as policymakers become more transparent, the
world they contend with is still shrouded in fog.

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Inflation and Prices
12-month percent change
4.75 CPI AND CPI EXCLUDING FOOD AND ENERGY
4.50

April Price Statistics
Percent change, last:
a
a
a
1 mo. 3 mo. 12 mo. 5 yr.

2005
avg.

4.25
CPI

4.00
3.75

Consumer prices
All items

7.5

4.1

3.6

2.6

3.6

3.50

3.00

3.25

Less food
and energy

3.6

3.2

2.3

2.1

2.2

Medianb

3.3

3.9

2.8

2.7

2.5

2.75
2.50
2.25

Producer prices
Finished goods 11.9

0.3

4.0

2.5

5.8

2.00
1.75

Less food and
energy

1.5

2.0

1.5

1.1

1.7

CPI excluding
food and energy

1.50
1.25
1.00
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

12-month percent change
6.0 HOUSEHOLD INFLATION EXPECTATIONS c

12-month percent change
4.25 TRIMMED-MEAN INFLATION MEASURES
4.00

5.5

3.75
5.0

3.50
Median CPI b
3.25

4.5

3.00

4.0

Five to 10 years ahead

2.75
3.5
2.50
2.25

3.0

2.00

2.5

1.75

One year ahead

16% trimmed-mean CPI b

2.0

1.50
1.25

CPI excluding food and energy

1.00
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

1.5
1.0
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

FRB Cleveland • June 2006

a. Annualized.
b. Calculated by the Federal Reserve Bank of Cleveland.
c. Mean expected change as measured by the University of Michigan’s Survey of Consumers.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; Federal Reserve Bank of Cleveland; and University of Michigan.

Inflation pressures remained elevated
in April. The Consumer Price Index
(CPI) rose 7.5% (annualized rate) in
April, accelerating from its three- and
12-month trends. Likewise, the CPI excluding food and energy, which
jumped 4.2% in March, rose 3.6% in
April, while the median CPI, which
surged 5.0% in March, rose 3.3%.
Monthly growth in both of these core
retail price measures exceeded their
longer-term growth trend.
Even longer-term growth in the inflation measures seems to be on the
rise. The 12-month growth rate of the

CPI excluding food and energy (2.3%)
1
was a bit above the 2%–2 /4% range in
which it has fluctuated for about a year.
The 12-month growth rate for the 16%
trimmed-mean CPI was 2.5%, while
the median CPI reached 2.8%. Growth
in the core retail price measures is
1
roughly /4 percentage point above the
late-2005 levels.
Accompanying the upward tilt in
the inflation measures, household
inflation expectations for the year
ahead jumped to their highest level
(4.7%) in a decade (excluding the
months following Hurricane Katrina),

while long-term inflation expectations
inched upward to 3.8%, a little above
1
the 3%–3 /2% range in which longerterm inflation expectations generally
have been fluctuating for nearly
a decade.
The stepped-up pace of retail price
increases seems to have been broadbased: More than half of the index’s
components have shown persistent
annualized monthly increases of 3%
or more. Still, one particular component of the CPI has received considerable scrutiny in recent months. The
owner’s equivalent rent of primary
(continued on next page)

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Inflation and Prices (cont.)
Four-quarter percent change
16 HOUSING PRICE INDEX a
15

Percent
11.0 VACANCY RATES

14

10.5

Percent
3.50
3.25

13
12

3.00

10.0

11

Rental vacancy rate

10

9.5

2.75

9.0

2.50

8.5

2.25

9
8
7
6
5

Homeowner vacancy rate

4

8.0

2.00

2

7.5

1.75

1
0
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

1.50
7.0
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

3

12-month percent change
5.00 HOUSING PRICES

12-month percent change
Percentage points
22 HOUSEHOLD FUELS AND UTILITIES AND THE
2.0
20
DIFFERENCE BETWEEN RENT AND OER GROWTH

4.75

18

4.50

1.5

16

CPI: Rent of primary residence (Rent)
4.25

1.0

14

4.00

12

3.75

10

Difference between
CPI: Rent and CPI: OER

3.50

0

6
3.25

4

3.00

2

2.75

0

–0.5

–1.0

–2

2.50

–4

2.25
2.00

CPI: Owner's equivalent rent of primary residence (OER)

1.75
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

CPI: Fuels and utilities

–6
–8
–10

residence (OER)—the opportunity
cost a homeowner assumes by occupying their home rather than renting it
out—is responsible for nearly onequarter of the CPI market basket, and
monthly growth in OER has been brisk
since the beginning of this year. There
has been speculation that the OER had
been understating inflationary pressures because it is computed using
prices from rental markets that may
have been temporarily restrained by
the boom in homeownership. Indeed,
the 12-month growth rate in housing

–1.5
–2.0

1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

a. Calculated by the Office of Federal Housing Enterprise Oversight.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; U.S. Department of Commerce, Bureau of the Census; and Office of Federal Housing
Enterprise Oversight.

FRB Cleveland • June 2006

0.5

8

prices peaked around 14% in 2005:IIQ,
and rental vacancy rates, at nearly 10%,
are just short of their 50-year peak. A
cooling housing market, accompanied
by some reduction in rental vacancy
rates, may be helping to propel the
OER measure higher this year.
Another factor may also be at work:
Because residential leases often include utilities provided by the landlord, the Bureau of Labor Statistics
subtracts these utility costs from rents
when calculating OER. During periods of rising energy prices, the

growth in OER may be understated
until these higher energy costs are reflected in higher rents. So some of the
recent upward pressure on the OER
may be due to landlords incorporating
the persistent rise of energy costs into
their rental contracts. Those effects
may have been exacerbated recently:
Utility price growth has slowed a little
(from 19% to about 13% on a yearover-year basis since the beginning of
2006), which means the net rental
computation in the OER has been
smaller this year than in late 2005.

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Monetary Policy
Percent
8 RESERVE MARKET RATES

Percent
450 TIGHTENING CYCLES

7

400

Effective federal funds rate a

2004
350

6
Intended federal funds rate b

300

5

1994
250

4
200

Primary credit rate b

3

2000

150
2

100

Discount rate b
1

50

0
2000

2001

2002

2003

2004

2005

2006

0
0

100

200

300

400

500

600

700

Days
Percent, daily
100 IMPLIED PROBABILITIES OF ALTERNATIVE TARGET
FEDERAL FUNDS RATES, JUNE MEETING OUTCOME c
90

Percent, quarterly
8 TAYLOR RULE d
7

4/28: GDP

80

Effective federal funds rate
5/17: CPI

6

5.00%

5

70
60

Inflation target: 1% e
4

50
40

3
5.25%

30

2

Inflation target: 3% f

20
4.75%

1

10
5.50%
0
2/27

3/13

3/27

4/10
2006

4/24

5/08

0
1998

1999

2000

2001

2002

2003

2004

2005

2006

FRB Cleveland • June 2006

a. Weekly average of daily figures.
b. Daily observations.
c. Probabilities are calculated using trading-day closing prices from options on June 2006 federal funds futures that trade on the Chicago Board of Trade.
d. The formula for the implied funds rate is taken from the Federal Reserve Bank of St. Louis, Monetary Trends, January 2002, which is adapted from
John B. Taylor, “Discretion versus Policy Rules in Practice,” Carnegie-Rochester Conference Series on Public Policy, vol. 39 (1993), pp. 195-214.
e. This line assumes an interest rate of 2.5% and inflation target of 1%.
f. This line assumes an interest rate of 1.5% and an inflation target of 3%.
SOURCES: U.S. Department of Labor, Bureau of Labor Statistics; Board of Governors of the Federal Reserve System, "Selected Interest Rates," Federal
Reserve Statistical Releases, H.15; Chicago Board of Trade; and Bloomberg Financial Information Services.

On May 10, the Federal Open Market
Committee (FOMC) voted to raise
the intended federal funds rate 25
basis points (bp) to 5.00%. That
move brought the rate within 150 bp
of its most recent high, 6.50%,
reached at the last business cycle
peak in May 2000. Although the May
2006 press release stated that “some
further policy firming may yet be
needed,” it emphasized that “the
extent and timing of any such firming
will depend importantly on the evolution of the economic outlook as
implied by incoming information.”

The May meeting marked the sixteenth consecutive increase of 25 bp
by the FOMC, raising the fed funds
rate a total of 400 bp from its low of
1% in June 2004. Although this tightening cycle has brought a larger total
increase than the previous two, it has
also lasted much longer (679 days). In
comparison, the 2000 tightening cycle
brought a rise of 175 bp over 321 days,
and the 1994 cycle increased the target 300 bp over 362 days.
Since the beginning of April, the
expected outcome of the June meeting has alternated between 5.00%

and 5.25%. After the GDP report on
April 28, participants in the federal
funds options market seemed to settle on a 60% probability of a pause at
the next meeting. However, the CPI
report released on May 17 sparked
fears of inflation and another 25 bp
increase in the fed funds rate. Currently, the odds of a further rate
increase are 55%.
The Taylor rule views the federal
funds rate as reacting to a weighted
average of inflation, target inflation,
and economic growth. According to
(continued on next page)

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Monetary Policy (cont.)
Percent
5.5 IMPLIED YIELDS ON FEDERAL FUNDS FUTURES a

Dollars per troy ounce
800 PRICE OF GOLD

5.3

700
May 11, 2006 b
600

5.1
March 29, 2006 b

500

4.9
February 1, 2006 b
4.7

400

4.5

300
December 14, 2005 b

4.3

200

4.1

100

3.9
Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
2005
2006

0
2000

2001

2003

2002

Percent
6 REAL FEDERAL FUNDS RATE c

Percent, weekly average
5.5 YIELD CURVE a

5

5.3

2004

2005

2006

May 12, 2006 d
4

5.1

3

4.9

2

4.7

March 31, 2006 d

February 3, 2006 d
1

4.5

0

4.3

–1

4.1

December 16, 2005 d

–2

3.9
1990

1992

1994

1996

1998

2000

2002

2004

2006

0

5

10
15
Years to maturity

20

25

FRB Cleveland • June 2006

a. All yields are from the constant-maturity series.
b. One day after the FOMC meeting.
c. Defined as the effective federal funds rate deflated by the core PCE.
d. The Friday after the FOMC meeting.
SOURCES: Board of Governors of the Federal Reserve System, “Selected Interest Rates,” Federal Reserve Statistical Releases, H.15; Chicago Board of Trade;
and Bloomberg Financial Information Services.

this equation, the current federal
funds rate is well within its recommended range.
Consistent with the options data,
participants in the federal funds futures market expect that the FOMC
will pause soon and that rates will
reach a plateau near 5.25%, remaining there through the end of the year.
However, after the December 2005
meeting, participants were expecting
rates to be between 4.50% and
4.75%. Given that the federal funds
futures market has recently been underpredicting rates, the 5.00% estimate for the rest of 2006 may be a bit

low, especially considering the most
recent inflation report.
After increasing slowly but steadily
for more than four years, the price
per ounce of gold has jumped an astonishing 150% since August 2005.
Historically, the price of gold has
tended to increase with inflationary
expectations, so its recent leap has
caused some to wonder how much
higher the FOMC may have to raise
rates. Although the nominal federal
funds rate has increased in an effort
to curb any inflationary pressures,
the inflation-adjusted federal funds
rate has also continued to rise and

now stands 365 bp above its recent
low of –1.07% in June 2004.
After a period earlier this year,
when parts of the Treasury yield
curve were inverted, the curve has
returned to normal, with long-term
rates once again higher than shorterterm rates. On the Friday after the
FOMC’s May 10 meeting, the spread
between the 10-year Treasury bond
and the two-year Treasury note was
15 bp, compared to –1.6 bp after the
February meeting. Although positive
again, the spread remains below its
historical average of 74 bp.

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Money and Financial Markets
Percent, weekly
9 LONG-TERM INTEREST RATES

Percent, weekly
7 SHORT-TERM INTEREST RATES
6

8

Target federal funds rate

Conventional mortgage

5
7
4
Three-month Treasury bill a

6

One-year Treasury bill a
3

5
2
20-year Treasury bond a
Six-month Treasury bill a

1

4
10-year Treasury note a
3

0
1998

1999

2000

2001

2002

2003

2004

2005

1998

2006

Percent, monthly
5 10-YEAR REAL INTEREST RATE AND TIPS-BASED
INFLATION EXPECTATIONS

1999

2000

2001

2002

2003

2004

2005

2006

2001

2002

2003

2004

2005

2006

Percent, weekly
7 BERK RATE d
6

4
10-year TIPS b

Corrected 10-year
TIPS-derived expected inflation c

3

5

4

3

2

2
1

10-year TIPS-derived expected inflation b

0
1998

1999

2000

2001

2002

2003

1

2004

2005

2006

0
1998

1999

2000

FRB Cleveland • June 2006

a. Yields from constant-maturity series.
b. Treasury inflation-protected securities.
c. 10-year TIPS-derived expected inflation adjusted for the liquidity premium on the market for 10-year Treasuries.
d. The Berk rate is calculated as the 30-year National Mortgage Association yield plus the 10-year TIPS yield minus the 10-year Treasury yield.
SOURCES: Board of Governors of the Federal Reserve System, “Selected Interest Rates,” Federal Reserve Statistical Releases, H.15; and Bloomberg Financial
Information Services.

The inversion of the yield curve observed earlier this year has nearly disappeared. The curve remains mildly
inverted only for maturities in the
range of six months through two
years. The two-year Treasury rate currently is just 2.6 bp below the sixmonth rate. Short-term rates have
moved in step with federal funds rate
increases. Since the current round of
policy tightening began in June 2004,
Treasury rates have moved up more
than 330 bp at the short end of the
maturity spectrum. Long-term Treasury yields increased more than
30 bp from the beginning of April,

resulting in a noticeable steepening at
the long end of the yield curve. The
20-year Treasury rate rose to 5.37%
(the highest level in almost two years),
while the 10-year rate reached 5.14%
(the highest in almost four years.)
Inflation expectations continue to
be contained, as indicated by the difference between the yield on 10-year
Treasury bonds and the yield on Treasury inflation-protected securities
(TIPS) of the same maturity. This difference, adjusted for the liquidity
premium on the TIPS market versus
the ordinary Treasuries market, was
close to 2.5% in May, about in line

with its level for the past 18 months
and thus consistent with the FOMC’s
statement that “inflation expectations remain contained.”
The real rate, as measured by TIPS,
was about 32 bp higher than at the
end of 2005. An alternative measure
of the real rate, the Berk rate, which
adjusts for the firm’s ability to delay
investment, showed a similar pattern; it was about 40 bp higher than it
was at the end of 2005.
Whereas the real and expected
inflation rates derived from TIPS
are used to estimate long-term rates,
(continued on next page)

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Money and Financial Markets (cont.)
Percent, monthly
7 PENNACCHI MODEL a

Percent, daily
4 YIELD SPREADS: CORPORATE BONDS
MINUS THE 10-YEAR TREASURY NOTE b

6
BBB

30-day Treasury bill
5

3

4
Estimated expected inflation rate
3
2
2
AA
1
Estimated real interest rate

1

0
–1
–2
1998

1999

2000

2001

2002

2003

2004

2005

2006

0
1998

1999

2000

2001

2002

2003

2004

Percent, weekly
1.8 YIELD SPREAD: 90-DAY COMMERCIAL PAPER
MINUS THE THREE-MONTH TREASURY BILL c
1.6

Percent, weekly
1.5 TREASURY-TO-EURODOLLAR (TED) SPREAD d

1.4

1.2

2005

2006

2005

2006

1.2
0.9

1.0
0.8

0.6

0.6
0.4

0.3

0.2
0
–0.2
1998

0
1999

2000

2001

2002

2003

2004

2005

2006

1998

1999

2000

2001

2002

2003

2004

FRB Cleveland • June 2006

a. The estimated expected inflation rate and the estimated real interest rate are calculated using the Pennacchi model of inflation estimation and the median
forecast for the GDP implicit price deflator from the Survey of Professional Forecasters. Monthly data.
b. Merrill Lynch AA and BBB indexes, each minus the yield on the 10-year Treasury note.
c. All yields are from constant-maturity series.
d. Yield spread: three-month Eurodollar deposit minus the three-month, constant-maturity Treasury bill.
SOURCES: Board of Governors of the Federal Reserve System, “Selected Interest Rates,” Federal Reserve Statistical Releases, H.15; Federal Reserve Bank of
Philadelphia; Wall Street Journal; and Bloomberg Financial Information Services.

expectations regarding shorter-term
real inflation rates can be gauged by
combining 30-day T-bill rates with
survey measures of inflation. The
one-month measure, originally developed by George Pennacchi, has risen
recently; however, at 2.84% in April
2006, it was still in the 2.0%–3.0%
band it has occupied since 1998.
In addition to spreads between
bonds of different maturities, or between real and nominal bonds, we
can gather useful information from
the spread between safe and risky

bonds. Such spreads have generally
been creeping up for 18 months but
have remained stable if not slightly
down since the beginning of 2006.
Spreads between BBB corporate
bonds and 10-year Treasuries dropped
from 125 bp in January to 119 bp in
mid-May, while spreads between AA
corporate bonds and 10-year Treasuries were nearly unchanged (79 bp).
The more volatile short spread
between 90-day commercial paper
and three-month T-bills was 25 bp in
the middle of May, close to the 23 bp

level of early January. Another closely
watched risk spread is that between
three-month Eurodollar deposits and
the three-month T-bill rate (the TED
spread). As the difference between
two dollar-denominated interest rates
based in different countries, it measures international financial risk while
avoiding exchange rate uncertainty.
Although the TED spread trended up
in 2005, reaching 56 bp at year’s end,
it is now at the 35 bp level, suggesting
that the peak of market uneasiness
about international conditions is past.

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Petrodollars
Dollars per barrel
80 WEST TEXAS INTERMEDIATE CRUDE OIL PRICES
70

60

50

40

30

20

10
0
1970

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

2004

2006

Percent of world GDP
1.5 CURRENT ACCOUNT BALANCES

2005 dollars per barrel
120 REAL OIL PRICES

1.0

100

Other advanced economies

0.5
80

Fuel exporters

China
0
60

Other developing economies

–0.5
40
–1.0

U.S.
20

–1.5

–2.0

0
1970

1974

1978

1982

1986

1990

1994

1998

2002

2006

1990

1992

1994

1996

1998

2000

2002

2004

FRB Cleveland • June 2006

SOURCES: International Monetary Fund, “Globalization and Inflation,” World Economic Outlook, April 2006, pp. 71–96; the Wall Street Journal, the Economist,
April 22, 2006, p. 74; and Haver Analytics.

The price of oil has risen fairly
steadily, from $20 per barrel in 2002
to $60–$70 this year. Although oil
prices are setting new records, the
real price of a barrel of oil—the price
after stripping out the effects of inflation—remains well below the record
reached in late 1979. This inflation
adjustment, together with greater
energy efficiency, helps to explain
why the recent round of energyprice hikes has not hit oil importers
as severely as in the late 1970s and
early 1980s.

Nevertheless, higher oil prices and
a rising, price-insensitive demand for
crude have recently increased the
real export revenues of oil-producing
countries more sharply than at any
time in the past, according to International Monetary Fund (IMF) estimates. Real export revenues reached
$763 billion last year, more than double the revenues just three years
earlier. How the oil-exporting countries recycle their petrodollars—oil is
priced and traded in U.S. dollars—can

have important implications for how
the world adjusts to oil-price shocks.
Oil-exporting countries are spending a smaller share of their export
revenues on imports than before,
even though a much larger portion
of the current oil-price run-up may
prove to be permanent. For example,
the IMF estimates that OPEC is currently spending 24% of each additional oil dollar, compared with 42%
between 1978 and 1981, and 52%
between 1973 and 1975. Moreover,

(continued on next page)

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Petrodollars (cont.)
Billions of 2005 U.S. dollars
900 FUEL EXPORTERS’ NET OIL EXPORTS
800
700
600
500
400
300
200
100
0
1970

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

Index, 1973 = 100
150 DOLLAR EXCHANGE RATES

Percent
18 U.S. INTEREST RATES

140

16

1998

2000

2002

2004

Nominal Major Currency Index
130

14

120

12

110

10

100

8

90

6

10-year U.S. Treasury

3-month U.S. Treasury
80

4

Real Major Currency Index

70

2

60
1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006

0
1970

1974

1978

1982

1986

1990

1994

1998

2002

2006

FRB Cleveland • June 2006

SOURCES: Board of Governors of the Federal Reserve System, “Foreign Exchange Rates,” Federal Reserve Statistical Releases, H.10; International Monetary
Fund, “Globalization and Inflation,” World Economic Outlook, April 2006, pp. 71–96; the Economist, April 22, 2006, p. 74; and Haver Analytics.

oil producers are currently buying a
smaller share of their overall foreign
imports from the U.S. than in 1981.
In 2004, oil exporters obtained approximately 8.4% of their merchandise imports from the U.S., which is
not such a bad thing from the oil exporters’ perspective. Usefully spending this large amount in a short time
is difficult, but it also implies that
oil-importing countries—particularly
the U.S.—will experience larger current account deficits than in the past.
The IMF estimates that over the past
two years, higher oil prices have

accounted for approximately half of
the deterioration in the U.S. current
account position.
Instead of spending their revenues, oil producers are saving them.
Petrodollars have moved directly and
indirectly into the U.S. securities markets. (During the 1970s and early
1980s, oil exporters re-channeled a
larger proportion of their unspent
revenues in the form of bank loans.)
The inflow of oil revenues has helped
to finance our growing current
account deficit without significantly
higher interest rates in the United

States or a sharp depreciation of the
dollar. The IMF estimates that the
flow of petrodollars into the U.S
bond market could recently have
shaved—at most—one-third of a percentage point off of 10-year Treasury
bond yields.
While inflows of petrodollars may
ease the financing of our current
account deficits, they cannot maintain a fundamentally unsustainable
situation indefinitely. Petrodollars
merely delay and prolong the adjustment process.

10
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Economic Activity
Percentage points
4 CONTRIBUTION TO PERCENT CHANGE IN REAL GDP c

a,b

Real GDP and Components, 2006:IQ
(Preliminary estimate)

Annualized
percent change
Current
Four
quarter
quarters

Change,
billions
of 2000 $

Real GDP
146.4
Personal consumption 101.3
Durables
53.4
Nondurables
32.8
Services
25.0
Business fixed
investment
41.3
Equipment
35.4
Structures
7.0
Residential investment
4.6
Government spending 21.1
National defense
11.3
Net exports
–14.7
Exports
42.6
Imports
57.2
Change in business
inventories
–5.6

5.3
5.2
20.5
5.7
2.2

3.6
3.4
4.3
4.5
2.6

13.1
13.8
11.4
3.0
4.3
9.5
__
14.7
12.8

8.7
10.0
4.8
5.9
2.2
3.3
__
8.1
6.6

__

__

3

Last four quarters
2005:IVQ
2006: IQ

Personal
consumption
2
Exports
1

0

Government
spending

Residential
investment
Business fixed
investment

Change in
inventories

–1

–2
Imports
–3

Annualized quarterly percent change
6
REAL GDP AND BLUE CHIP FORECAST c,d

Thousands of units
500

Millions of units
2.0 HOUSING STARTS: SINGLE-UNIT
AND MULTI-UNIT STRUCTURES c
1.9

5

Final estimate
Preliminary estimate
Blue Chip forecast

4
30-year average
3

475

1.8

450
Single-unit structures
425

1.7
Multi-unit structures

1.6

400

1.5

375

1.4

350

1.3

325

1.2

300

1.1

275

2

1

0

1.0
IQ

IIQ

IIIQ
2005

IVQ

IQ

IIQ

IIIQ
2006

IVQ

IQ
2007

250
2000

2001

2002

2003

2004

2005

2006

FRB Cleveland • June 2006

a. Chain-weighted data in billions of 2000 dollars.
b. Components of real GDP need not add to the total because the total and all components are deflated using independent chain-weighted price indexes.
c. Data are seasonally adjusted and annualized.
d. Blue Chip panel of economists.
SOURCES: U.S. Department of Commerce, Bureau of Economic Analysis; and Blue Chip Economic Indicators, May 10, 2005.

Real GDP increased at an annual rate
of 5.3% in 2006:IQ, according to
the preliminary estimate released by
the Commerce Department. This
was 0.5 percentage point (pp) higher
than the advance estimate of 4.8%.
The upward revision resulted primarily from stronger exports and an
increase in private inventory investment, which was partly offset by a
downward revision to personal consumption expenditures. In 2005:IVQ,
real GDP increased 1.7%.
Compared to the previous quarter,
most components made significantly
higher contributions to the change in

real GDP in 2006:IQ. Personal consumption expenditures contributed
3.6 pp, compared to only 0.6 pp
in 2005:IVQ. Exports added 1.0 pp
more, bringing that component’s
total contribution to 1.5 pp. The exception was changes in private inventories, which subtracted 0.1 pp in
2006:IQ after adding 1.9 pp the previous quarter.
GDP growth has topped 5.0% only
twice since the beginning of 2000.
During that time, GDP averaged
2.7%. Growth in 2006:IQ was 2.6 pp
above that average and 2.1 pp above
the 30-year average of 3.2%. However,

in their April and May publications,
Blue Chip forecasters predicted that
growth will slow in the remaining
three quarters of 2006 to 3.4%, 3.0%,
and 2.8%.
The housing market is often seen
as an early warning signal for the
economy. In this context, the sharp
fall in housing starts since the start of
the year is disconcerting. Following
6% declines in both February and
March, housing starts fell a further
7.4% in April to the lowest level since
November 2004. Single-unit starts,
which accounted for 83% of total
(continued on next page)

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Economic Activity (cont.)
Millions of units
8.0 SALES OF NEW AND EXISTING HOMES a

Millions of units
1.4

7.5

Millions of units
3.5 SALES OF EXISTING HOMES BY REGION a

1.3
3.0

New home sales
7.0

1.2

6.5

1.1

6.0

1.0

South
2.5

2.0
Midwest

5.5

0.9
Existing home sales

West
1.5

5.0

0.8

4.5

0.7
2000

2001

2002

2003

2004

2005

Northeast
1.0
2000

2006

Thousands of dollars
260 MEDIAN PRICES OF NEW AND EXISTING HOMES

2001

2002

2003

2004

2005

2006

2005

2006

Percent
9 MORTGAGE RATES

240

8
30-year fixed rate

220
7
New homes

200

6
180
5

Existing homes
160

One-year adjustable rate

15-year fixed rate

4

140

120
2000

2001

2002

2003

2004

2005

2006

3
2000

2001

2002

2003

2004

FRB Cleveland • June 2006

a. Data are seasonally adjusted and annualized.
SOURCES: U.S. Department of Commerce, Bureau of the Census; Federal Home Loan Mortgage Corporation; and National Association of Realtors.

starts, also reached a 17-month low.
The volatile multi-unit starts dropped
15% in April, but they remained
within 32,000 of the five-year average
of 346,000 units.
April starts were down 18.4% from
January, with single-family dwellings
down 15.4% and multiple-unit structures down 30.4%. Although mild
weather has been credited with the
large number of starts in January, it is
difficult to imagine that all of the subsequent fall is catch-up after the
strong January figures.
New home sales for April recovered to their January level, having

dropped considerably in February.
Existing home sales in April were
down 7% relative to August 2005 and
were at roughly the same level as in
December 2005. The South has been
the big contributor to the run-up in
sales of existing homes since 2000.
The more recent fall-off in existing
home sales came in the South and
West, with the Midwest and Northeast holding fairly steady.
Since 2000, home prices have
trended up. Some of the surprising
numbers for new home sales
in April came from the rise in prices
relative to March, along with increasing

sales. Prices of existing homes also
rose in April, despite a drop in the
number of units sold.
Over the past couple of years,
mortgage rates have gradually crept
up. In April, a typical 30-year fixed rate
mortgage was 6.51%, up from 5.89% a
year earlier. The 15-year fixed rate
also rose, to 6.16% from 5.44% a year
earlier. The one-year adjustable rate
rose more rapidly; it stood at 5.62% in
April, up from 4.27% a year earlier.
These higher mortgage rates may be
behind the flattening in home sales as
well as the deceleration in homeprice appreciation.

12
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•

Labor Markets
Change, thousands of workers
400 AVERAGE MONTHLY NONFARM EMPLOYMENT CHANGE

Labor Market Conditions

350

Average monthly change
(thousands of employees, NAICS)

Revised
Previous estimate

300
250

2003
9

2004
175

–42
10
–51
–32
–19

28
26
0
9
–9

Service providing
51
Retail trade
–4
Financial activitiesa
7
PBSb
23
Temporary help svcs.
12
Education & health svcs. 30
Information
–11
Government
–4

147
17
8
40
13
33
–6
13

Payroll employment

200

Goods producing
Construction
Manufacturing
Durable goods
Nondurable goods

150
100
50
0
–50
–100

Jan.–
Apr.
2006
164

May
2006
75

22
25
–6
1
–7

36
24
6
12
–6

–10
1
–14
–9
–5

143
13
12
41
14
31
–1
14

128
–9
22
24
–7
38
1
8

85
–27
12
27
–3
41
–13
8

2005
165

Average for period (percent)

–150

Civilian unemployment
rate

–200
2002 2003 2004 2005

IIQ

Mar.
IIIQ IVQ IQ
2005
2006

Percent
65.0 LABOR MARKET INDICATORS

April
2006

6.0

5.5

5.1

4.7

4.6

May

Percent
6.5

Thousands
550 UNEMPLOYMENT INSURANCE CLAIMS

Millions
4.5

Employment-to-population ratio
64.5

6.0

500

Continued claims,
four-week moving average

64.0

5.5

450

3.5

63.5

5.0

400

3.0

63.0

4.5

350

2.5

4.0

300

62.5

2.0
Initial claims,
four-week moving average

Civilian unemployment rate
3.5

62.0
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

250
1.5
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

NOTE: All data are seasonally adjusted.
a. Financial activities include the finance, insurance, and real estate sector and the rental and leasing sector.
b. Professional and business services include professional, scientific, and technical services, management of companies and enterprises, administrative and
support, and waste management and remediation services.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics.

FRB Cleveland • June 2006

4.0

Nonfarm payroll growth was 75,000
in May, the third straight month it
slowed. Net job gains in March and
April were revised down a combined
37,000, to 175,000 and 126,000, respectively.
Manufacturing employment declined 14,000 in May after rising
19,000 in April. Much of the decline
was concentrated in the transportation equipment and the computer
and electronic products industries.
Construction employment increased
only 1,000 for the second time in the
last three months. For the second

straight month, the service-providing
sector added fewer than 90,000 net
jobs, just under half of them in education and health services. Professional
and business services employment
increased 27,000, despite the fourth
decrease in temporary help services in
the last five months. Retail employment fell 27,100 in May following a
43,500 decline in April.
May’s employment-to-population
ratio was 63.0% for the third straight
month. The unemployment rate declined 0.1 percentage point to 4.6%
because jobs growth from the household survey used to determine the

rate was stronger than the more
commonly cited measure of employment growth from the payroll survey.
Notwithstanding recent declines in the
unemployment rate, the four-week
moving average of initial unemployment insurance claims rose from just
under 300,000 in late January and early
February to 333,500 in the week ending May 27. Weekly initial claims
remained well below 400,000, an
often-cited bellwether of recession.
Furthermore, the downward trend
in continued claims has been sustained so far this year.

13
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•

•

Native- and Foreign-Born Workers
Percent
100 LABOR FORCE PARTICIPATION RATES

Percent
90 CIVILIAN LABOR FORCE BY ETHNICITY
80
70
60

90

Total
Men
Women

White
Black

80

Asian
Hispanic or Latino

70

Other
60

50
50
40
40
30

30

20

20

10

10
0

0
Foreign born

Native born

Percent
40 OCCUPATIONS

Percent
7 UNEMPLOYMENT RATES
Total
Men
Women

6

Foreign born

Native born

35

30
5
25

Management and professional
Service
Sales and office
Natural resources, construction,
and maintenance
Production, transportation,
and material moving

4
20
3
15
2
10
1

5
0

0
Foreign born

Native born

Foreign born

Native born

FRB Cleveland • June 2006

SOURCE: U.S. Department of Labor, Bureau of Labor Statistics.

In 2005, foreign-born workers (legally
admitted and undocumented immigrants, refugees, and temporary residents) represented about 15% of the
labor force, up from about 11% in
1996. They differ from native-born
workers in ethnic background, labor
force participation, unemployment
rates, and occupations.
The ethnic composition of foreignborn and native-born workers differs
dramatically, primarily because of immigration from Asia and from Central
and South America. Whereas about
80% of native-born workers are

non-Hispanic or non-Latino whites,
nearly half of foreign-born workers are
Hispanic or Latino. Over one-fifth of
immigrant workers are Asian, compared to a mere 1% of the native born.
Total labor force participation is similar among foreign-born and nativeborn workers; however, the labor
force participation rate of foreign-born
men (81%) is nearly 10 percentage
points above that of native-born men.
Native-born workers’ 5.2% unemployment rate exceeds the 4.6% rate
among foreign-born workers, reflecting relatively higher unemployment
rates among native-born men.

In 2005, foreign-born workers
tended to have less education than
the native born: About 93% of nativeborn workers (older than 25) were
at least high school graduates, compared to about 72% of the foreign
born. Foreign-born workers were
more likely to work in construction
and maintenance; production, transportation, and material moving; and
service industries. In contrast, nativeborn workers were more likely to be
in sales and office; and management
and professional occupations.

14
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•

Fourth District Employment
Percent
8.5 UNEMPLOYMENT RATES a

UNEMPLOYMENT RATES, MARCH 2006 b

8.0

U.S. average = 4.7%

7.5
7.0
6.5
6.0
U.S.
5.5
Lower than U.S. average

5.0
Fourth District b

About the same as U.S. average
(4.6% to 4.8%)

4.5

Higher than U.S. average
More than double U.S. average

4.0
3.5
1990

1993

1996

1999

2002

2005

Payroll Employment by Metropolitan Statistical Area
12-month percent change, April 2006
Cleveland Columbus Cincinnati Dayton
Total nonfarm
Goods-producing
Manufacturing
Natural resources, mining,
and construction
Service-providing
Trade, transportation, and utilities
Information
Financial activities
Professional and business
services
Education and health services
Leisure and hospitality
Other services
Government
March unemployment rate (percent)

Toledo Pittsburgh Lexington

U.S.

0.3
–0.5
–0.3

1.0
0.7
0.4

1.1
0.6
0.1

–0.4
–0.8
–1.0

1.0
0.8
0.4

0.7
–0.5
–2.0

0.8
–0.6
–2.0

1.4
1.3
0.0

–1.2
0.5
–0.9
–4.1
–0.6

1.3
1.1
0.3
0.5
0.3

1.7
1.2
–0.3
–1.9
0.9

0.0
–0.3
–1.8
–1.8
–3.2

2.0
1.0
0.0
–2.5
4.4

2.1
0.8
0.5
–3.5
0.3

3.2
1.2
3.3
0.0
0.9

3.7
1.4
0.7
–0.1
2.6

2.1
2.6
2.2
–1.1
–1.2

2.0
2.0
1.4
1.1
0.7

3.4
1.8
2.2
0.5
0.2

1.9
0.6
0.8
0.0
–1.1

1.5
2.2
1.2
–0.7
0.6

0.0
2.0
4.7
–0.5
–1.0

2.0
–0.3
1.2
0.0
0.0

2.5
2.3
1.7
0.1
0.7

4.9

4.4

5.0

5.0

5.7

4.8

4.7

4.7

FRB Cleveland • June 2006

a. Shaded bars represent recessions.
b. Seasonally adjusted using the Census Bureau’s X-11 procedure.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics.

The Fourth District’s unemployment
rate fell to 5.1% in March from 5.4% a
month earlier. Employment in the
District was up compared to both February (0.4%) and March 2005 (1.4%).
The labor force was unchanged over
the month and has increased 0.4%
since March 2005. Nationally, the unemployment rate was 4.7% in March
and remained there in April.
County unemployment rates in
the District tended to exceed the U.S.
rate in March. Unemployment rates
were above the U.S. average in 68%

of Ohio counties. In Kentucky, where
unemployment was 6% in March, 51
of the 56 counties in the state’s Fourth
District area posted rates that were
above the national average. Most
Pennsylvania and West Virginia counties within the District had aboveaverage unemployment rates as well,
except the counties near Wheeling
and Pittsburgh.
According to another measure of
employment change, based on the
Current Employment Statistics survey, total employment growth over
the last year trailed the national rate

(1.4%) in every major metropolitan
area of the District; however, growth
rates in Cincinnati (1.1%), Columbus
(1.0%), and Toledo (1.0%) came close
to average. Both goods-producing
and service-providing industries underperformed. Although employment
growth in the professional and business services, education and health
services, and leisure and hospitality
industries generally lagged the U.S.,
almost all of the District’s metropolitan areas posted increases in these
industries over the year.

15
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The Lexington Metropolitan Area
Index, March 2001 = 100
104 PAYROLL EMPLOYMENT SINCE MARCH 2001 a

LOCATION QUOTIENTS, LEXINGTON MSA/U.S., 2005
Natural resources, mining, and construction
Manufacturing

102
U.S.

Trade, transportation, and utilities
Information

100

Financial activities

Kentucky

Professional and business services

98

Education and health services
Lexington MSA

Leisure and hospitality
96
Other services
Government
94
0

0.5

1.0

1.5

2001

Annual percent change
3 COMPONENTS OF EMPLOYMENT GROWTH,
LEXINGTON MSA b
2

2002

2003

2004

2005

PAYROLL EMPLOYMENT GROWTH

2006

Lexington MSA
U.S.

Total nonfarm

Goods-producing

Education, health, leisure, government, and other services
Transportation, warehousing, and utilities
U.S.
Manufacturing

Manufacturing

Natural resources, mining, and construction

1
Service-providing
Trade, transportation, and utilities

0
Information

Financial activities

Lexington MSA
–1

Professional and business services
Educational and health services

Retail and wholesale trade
Financial, information, and business
Natural resources, mining, and
construction services

–2

Leisure and hospitality
Other services
Government

–3
2001

2002

2003

2004

2005

–3

–2

0
–1
1
2
12-month percent change, April 2006

3

FRB Cleveland • June 2006

NOTE: The Lexington–Fayette, KY metropolitan statistical area consists of Bourbon, Clark, Fayette, Jessamine, Scott, and Woodford counties.
a. Seasonally adjusted.
b. Lines represent total employment growth for the U.S. and the Lexington MSA.
SOURCE: U.S. Department of Labor, Bureau of Labor Statistics.

The Lexington area is an economically important component of the
Fourth District. In terms of employment, it is the ninth-largest metro
area in the District and the secondlargest in Kentucky. The industrial
composition of the area’s employment is generally similar to the nation’s, but its manufacturing sector’s
presence is somewhat stronger. In
addition, Lexington’s proportion of
jobs in information and finance lags
the U.S. average.

When the national recession
began in March 2001, employment
fell more sharply in the Lexington
area than in the U.S. or Kentucky.
(In terms of employment, the state
and nation have performed similarly
throughout the recession and recovery.) Recently, however, employment
has grown more rapidly in the area
than in either the U.S. or Kentucky.
Lexington’s above-average share
of manufacturing employment may
partly explain its more marked
job losses when the recession began.

The manufacturing sector subtracted
from Lexington’s employment growth
from 2001 to 2004 but added to it in
2005. Within the service sector, education, health care, leisure, and government have added to the area’s
total employment growth in each of
the last five years.
As of April, Lexington’s year-overyear employment growth was weaker
than the nation’s (0.8% versus 1.4%).
The area’s manufacturing employment contracted sharply; its health-

(continued on next page)

4

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The Lexington Metropolitan Area (cont.)
Annual percent change
3 POPULATION

Selected Demographics, 2004
Lexington
MSAa

Kentucky

U.S.

0.5

4.0

285.7

Percent by race
White
Black
Other

88.0
10.0
2.0

91.2
7.3
1.4

77.3
12.8
9.9

Percent by age
0–19
20–34
35–64
65 and older

25.7
24.1
40.0
10.2

26.6
20.3
40.9
12.1

27.9
20.3
39.8
12.0

Percent with bachelor’s
degree or higher

29.7

19.0

27.0

35.1

37.3

36.2

Lexington MSA
2

Total population (millions)
U.S.

1

Kentucky
0

Median age
–1
1980

1985

1990

1995

2000

2005

Index, 1990:QI = 100
250 HOME PRICES

Thousands of dollars
40 PER CAPITA PERSONAL INCOME

Lexington MSA

U.S.
U.S.

30
200

20
Kentucky
Kentucky

Lexington MSA

150

10

100

0
1980

1985

1990

1995

2000

2005

1990

1995

2000

2005

FRB Cleveland • June 2006

NOTE: The Lexington–Fayette, KY metropolitan statistical area consists of Bourbon, Clark, Fayette, Jessamine, Scott, and Woodford counties.
a. Includes Madison County.
SOURCES: U.S. Department of Commerce, Bureau of the Census and Bureau of Economic Analysis; and U.S. Department of Housing and Urban
Development, Office of Federal Housing Enterprise Oversight.

care and education employment also
suffered. Until April, its year-over-year
employment growth exceeded the
nation’s back to the beginning
of 2005.
In population growth, the area has
generally performed as well as or
better than the national average
since 1985; it has also been outperforming the state since 1980. By
2004, Lexington’s population had
grown to almost half a million. It
tends to be less diverse and younger

than the nation’s. The area has a
higher percentage of residents in
the 20-to-34 age bracket than either
the state or the U.S. It is also better
educated: The share of college graduates in Lexington’s population is
somewhat larger than in the U.S. but
markedly larger than in Kentucky as
a whole.
The disparity in educational attainment between the Lexington area and
Kentucky may help account for differences in per capita personal income.

Although Lexington and the U.S. are
similar in per capita income and educational attainment, there is a much
greater gap on both measures between Lexington and Kentucky.
Home-price appreciation is one respect in which the area and the state
are similar: Neither has shared much
in the recent nationwide acceleration
in home prices. Since 1990, U.S.
home prices have risen roughly 25%
to 35% more than those in either
Lexington or Kentucky.

17
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Banking Structure
Thousands
100 BANKING OFFICES

Thousands
20 SAVINGS ASSOCIATIONS OFFICES
Branches
Banks

Branches
Savings and loans

80

16

60

12

40

8

20

4

0

0
1993

1995

1997

1999

2001

2003

2005

1993

1995

1997

1999

2001

2003

2005

INTERSTATE BRANCHES AS A SHARE OF TOTAL OFFICES

More than 30%
15% to 30%
1% to 15%

FRB Cleveland • June 2006

SOURCES: Federal Deposit Insurance Corporation, Quarterly Banking Profile and QBP Graph Book, December 31, 2005.

Passage of the 1994 Reigle–Neal Act,
which regulates interstate banking,
has spurred the consolidation of
depository institutions. The number
of FDIC-insured commercial banks
fell from 9,972 at the end of 1995 to
7,527 at the end of 2005, a decline of
more than 24%. Over the same period, the number of FDIC-insured
savings associations decreased more
than 35%, from 2,030 in 1995 to 1,305
at the end of 2005.
The number of savings associations’ offices also dropped, but less

sharply than the number of institutions (only around 15%, from 15,461
in 1995 to 13,136 at the end of 2005).
The total number of banking offices,
however, grew more than 20% over
that period, from 65,711 to 79,243.
From the end of 1995 to the end
of 2005, the total number of FDICinsured depository institutions’ offices
increased almost 14%, from 81,172 to
92,379. This count does not include
other channels for delivering banking
services, such as automated teller machines, telephone banking, and online

banking. Hence, the reduction in the
number of insured depository institutions has not decreased the availability
of bank services for most consumers.
The effects of the banking industry’s interstate consolidation are evident: All but six states now report
that more than 15% of depository institutions’ branches are part of an
out-of-state bank or savings association. And in over half the states, 30%
or more of all branches are offices of
out-of-state depository institutions.

18
•

•

•

•

•

•

•

Foreign Banking Organizations
Billions of dollars
8,000

Foreign, percent of total
24 TOTAL ASSETS a

Foreign, percent of total
24 TOTAL LOANS a

Billions of dollars
4,800

7,000

21

18

6,000

18

3,600

15

5,000

15

3,000

12

4,000

12

2,400

9

3,000

9

1,800

6

2,000

6

1,200

3

1,000

3

600

0

0

21

Domestic b
Foreign c

0
1975

1980

1985

1990

1995

2000

Foreign, percent of total
50 TOTAL BUSINESS LOANS a

2005

900

45
Domestic b

0
1975

Billions of dollars
1,000

4,200

Domestic b
Foreign c

1980

1985

1990

1995

2000

Foreign, percent of total
50 TOTAL DEPOSITS a

2005

Billions of dollars
5,000
4,500

45
Domestic b
Foreign c

800

40

35

700

35

3,500

30

600

30

3,000

25

500

25

2,500

20

400

20

2,000

15

300

15

1,500

10

200

10

1,000

5

100

5

500

0

0

40

Foreign c

0
1975

1980

1985

1990

1995

2000

2005

4,000

0
1975

1980

1985

1990

1995

2000

2005

FRB Cleveland • June 2006

NOTE: Foreign banks are those owned by institutions located outside the U.S. and its affiliated insular areas.
a. Total claims, including domestically owned commercial banks as well as foreign banks’ branches and agencies in the 50 states and the District of Columbia;
New York investment companies (through September 1996); U.S. commercial banks, of which more than 25% are owned by foreign banks; and international
banking facilities. The data exclude Edge Act and agreement corporations; U.S. offices of banks in Puerto Rico, the U.S. Virgin Islands, and other U.S.-affiliated
insular areas; and foreign bank offices in U.S.-affiliated insular areas.
b. Excludes commercial banks, more than 25% of which are owned by foreign banks, but includes international banking facilities as well as banks owned by
nonbank foreigners.
c. Adjusted to exclude net claims on own foreign offices.
SOURCE: Board of Governors of the Federal Reserve System, Structure and Share Data for U.S. Offices of Foreign Banks.

The U.S. banking industry shows the
impact of financial markets’ increasing
globalization. Despite some loss of
market share since 1991, foreign banks
remain important competitors in the
U.S. Their total assets have risen
steadily since 1975, more than trebling
their share of U.S. banking assets from
5.3% to 19.8%, but still down from the
peak of 22.6% at the end of 1991.
Similar patterns are apparent in
foreign banking organizations’ market shares of loans and deposits.
Their total loan holdings rose from

$29.9 billion in 1975 to $631.0 billion at
the end of 2005, more than doubling
their share. Foreign banks’ 11.8%
share of U.S. loans at the end of 2005
marked a 37% decline in their market
share from its 1991 peak of 18.9%.
Much like their total loans, foreign
banks’ 1992 peak business loan market
share has been eroded by more than
a third. On the other hand, they increased their holdings of business
loans from $19.9 billion in 1975 to
$241.4 billion by December 31, 2005,
more than doubling their share of U.S.

business loans. Given the nature of the
lending process and the importance of
established relationships with customers, it is not surprising that foreign
banking organizations’ loan share has
grown much more slowly than their
share of total assets.
Finally, foreign banking organizations’ 16.2% share of deposits confirms that they are important competitors in the U.S., but recent trends
suggest that the domestic industry
is equal to the challenge posed by
foreign competition.