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economic
report
of the

president
transmitted to the congress | february 2011
together with the annual report
of the council of economic advisers

economic
re p ort
of the
president

transmitted to the congress
february 2011
together with

the annual report
of the

council of economic advisers
united states government printing office
washington : 2011
For sale by the Superintendent of Documents, U.S. Government Printing Office
Internet: bookstore.gpo.gov Phone: toll free (866) 512-1800; DC area (202) 512-1800
Fax: (202) 512-2104 Mail: Stop IDCC, Washington, DC 20402-0001
ISBN 978-0-16-084824-7

C O N T E N T S
Page

ECONOMIC REPORT OF THE PRESIDENT ...........................................

1

ANNUAL REPORT OF THE COUNCIL OF ECONOMIC ADVISERS*

9

CHAPTER 1.

FROM CRISIS TO RECOVERY AND GROWTH ......

19

CHAPTER 2.

THE YEAR IN REVIEW AND THE YEARS
AHEAD ................................................................................

29

CHAPTER 3

THE FOUNDATIONS OF GROWTH ..........................

53

CHAPTER 4.

THE WORLD ECONOMY ..............................................

81

CHAPTER 5.

HEALTH CARE REFORM ............................................... 111

CHAPTER 6.

TRANSITIONING TO A CLEAN ENERGY
FUTURE .............................................................................. 125

CHAPTER 7.

SUPPORTING AMERICA’ S SMALL
BUSINESSES ....................................................................... 143

REFERENCES ................................................................................................ 157
APPENDIX A. REPORT TO THE PRESIDENT ON THE
ACTIVITIES OF THE COUNCIL OF
ECONOMIC ADVISERS DURING 2010 ...................... 165
APPENDIX B. STATISTICAL TABLES RELATING TO INCOME,
EMPLOYMENT, AND PRODUCTION ........................ 179

____________

*For a detailed table of contents of the Council’s Report, see page 13.

iii

economic report
of the

president

economic report of the president

To the Congress of the United States:
As we begin a new year, the country is still emerging from the worst
recession in generations. Across the nation, millions lost their jobs, their
businesses, and their sense of security about the future. Many have had to
put off their plans for a better life: going to college, buying a new home, or
retiring after a long career.
At the same time, we’ve seen encouraging signs that the recovery is
beginning to take hold. An economy that had been shrinking for a year
is now growing again. After two years of job losses, our economy added
more than one million private sector jobs in 2010. Yet, as we all are too well
aware, the recovery is not happening fast enough. Millions of Americans—
our neighbors, friends, family members—are still looking for jobs. This
means that the most immediate task must be to get our fellow Americans
back to work by accelerating economic growth and job creation by the
private sector.
That’s why, at the end of last year, I signed into law a measure
to prevent taxes from rising on middle-class families and to create new
incentives for businesses to create jobs. This bipartisan compromise cut
payroll taxes for 155 million workers, prevented a $3,000 tax increase from
going into effect on the typical working family, and extended important
tax credits to help families make ends meet and send their kids to college.
The law also extended unemployment insurance, preventing 7 million
Americans from losing their benefits as they look for new work, and gave
businesses two powerful incentives to invest and create jobs. These were
100 percent expensing of investment expenditures and an extension of the
research and experimentation tax credit.
I proposed an up-front investment in building new roads, rails,
and runways to upgrade our infrastructure and create new jobs. And last
month, I laid out a commonsense approach to regulation that is pragmatic,
Economic Report of the President

| 3

based on evidence, and driven by data that will help lay the groundwork
for economic growth and job creation while continuing to protect
our health, safety, and environment. In addition, my Administration has
moved aggressively to open markets abroad and boost exports of American
goods and services.
These steps will help the economy this year. But it is also essential
that we take stock and look to the future—to what kind of America we
want to see emerge from this crisis and take shape for the generations of
Americans to come.
We know what it takes to compete for the jobs and industries of
our time. We know what we have to do to win the future. We need to
out-innovate, out-educate, and out-build the rest of the world. We have to
make America the best place on Earth to do business. We need to rein in
deficits after a decade of rising debt, and reform our government. This is
the way to robust and widely shared prosperity.
The first step in winning the future is encouraging American innovation. That is ultimately driven by free enterprise. But public support also
plays an essential role in encouraging innovative research and development. It holds incredible promise for our future. That is why, throughout
history our government has provided cutting-edge scientists and inventors
with the support that they need. This is what planted the seeds for the
Internet. This is what helped make possible breakthroughs like computer
chips and GPS.
Two years ago, I set a goal for America: that we needed to reach
a level of research and development we haven’t seen since the height of
the Space Race. And this year, my budget helps us meet that goal. We’ll
invest in biomedical research, information technology, and especially
clean energy technology—an investment that will strengthen our security,
protect our planet, and create countless new jobs for our people.
We’ve begun to reinvent our energy policy. We’re telling America’s
scientists and engineers that if they assemble teams of the best minds in
their fields, and focus on the hardest problems in clean energy, we’ll fund
the Apollo Projects of our time. We’re doing this through investments in
innovation hubs across America. These are teams of scientists focused
on one difficult problem. We’re also supporting the Advanced Research
Projects Agency for Energy, modeled on a successful defense agency that
has developed cutting-edge technologies for decades.
In addition, clean energy breakthroughs will only translate into
clean energy jobs if businesses know there will be a market for what they’re

4 |

Economic Report of the President

selling. So in my State of the Union, I called on Congress to join me in
setting a new goal: by 2035, 80 percent of America’s electricity will come
from clean energy sources.
The second part of our strategy is education. Over the next ten years,
nearly half of all new jobs will require education that goes beyond a high
school degree. And yet, as many as a quarter of our students aren’t even
finishing high school. The quality of our math and science education lags
behind many other nations. And so the question is whether all of us—as
citizens, and as parents—are willing to do what’s necessary to give every
child a chance to succeed.
Of course, our schools share this responsibility. When a child walks
into a classroom, it should be a place of high expectations and high performance. Yet too many schools in our country don’t meet this threshold test.
That’s why we launched a competition called Race to the Top. Race to the
Top is the most meaningful reform of our public schools in a generation.
For less than one percent of what we spend on education each year, it has
led over 40 states to raise their standards for teaching and learning.
Next, because an increasing number of jobs require more than a
high school diploma, higher education must be within reach of every
American. So we’ve ended the taxpayer subsidies that went to banks to act
as a middleman in the student loan process, and used the savings to make
college affordable for millions of students. And this year, we will work to
make permanent our tuition tax credit—worth $10,000 for four years of
college. We are also revitalizing America’s community colleges, which
will help us reach the goal I set two years ago: by the end of the decade,
America will once again have the highest proportion of college graduates
in the world.
The third step in winning the future is rebuilding America. To
attract new businesses to our shores, we need the fastest, most reliable
ways to move people, goods, and information—from high-speed rail to
high-speed internet. That is why, over the last two years, we have begun
rebuilding for the 21st century, a project that has meant thousands of good
jobs for the hard-hit construction industry.
We will put more Americans to work repairing crumbling roads and
bridges. We will make sure this is fully paid for, attract private investment,
and pick projects based on what’s best for the economy, not politicians.
Within 25 years, our goal is to give 80 percent of Americans access to highspeed rail, which could allow you to go places in half the time it takes to
travel by car. Routes in California and the Midwest are already underway.

Economic Report of the President

| 5

And within the next five years, we will also make it possible for business to
deploy the next generation of high-speed wireless coverage to 98 percent
of all Americans.
All these investments—in innovation, education, and infrastructure—will make America a better place to do business and create jobs. But
to help our companies compete, we also have to knock down barriers that
stand in the way of their success.
To help businesses sell more products abroad, we set a goal of
doubling our exports by 2014. My Administration has worked to knock
down barriers our exporters face and advocated for U.S. exporters
abroad—resulting in signing important deals to sell more American goods
and services to China and India. And in December, we finalized a trade
agreement with South Korea that will support at least 70,000 American
jobs. This agreement has unprecedented support from business and labor,
Democrats and Republicans, and I’ve asked Congress to pass it as soon
as possible. Finally, we are also pursuing agreements with Panama and
Colombia, and continuing our Asia Pacific and global trade talks.
To reduce barriers to growth and investment, I’ve ordered a review
of government regulations. When we find rules that put an unnecessary
burden on businesses, we will fix them. But I will not hesitate to create or
enforce commonsense safeguards to protect the American people. That’s
what we’ve done in this country for more than a century, from child labor
laws to protections for our air and water. It’s why last year, we put in place
consumer protections against hidden fees and penalties by credit card
companies, and new rules to prevent another financial crisis. And it’s why
we passed reform that finally prevents the health insurance industry from
exploiting patients.
The final step in winning the future is to make sure we aren’t buried
under a mountain of debt. We are living with a legacy of deficit-spending
that began almost a decade ago. And in the wake of the financial crisis,
some of that was necessary to keep credit flowing, save jobs, and put
money in people’s pockets.
That is why in my Budget, I’ve proposed that government live within
its means while investing in the future. I have promised to veto any bill that
contains earmarks. I’ve proposed freezing annual domestic spending for
the next five years. This would reduce the deficit by more than $400 billion
over the next decade, and will bring discretionary spending to the lowest
share of our economy since Dwight Eisenhower was President.

6 |

Economic Report of the President

Yet, at the same time, we cannot solve our fiscal problems on the
backs of our most vulnerable citizens. And it would also be a mistake to
cut the deficit by gutting our investments in innovation and education,
which are so critical for our future prosperity. The fact is, priorities like
education, innovation, and infrastructure have traditionally commanded
bipartisan support. There are no inherent ideological differences that
should prevent Democrats and Republicans from improving our economy.
We are all Americans, and we are all in this race together—we can focus on
what is necessary for America to win the future.
For as difficult as the times may be, the good news is that we know
what the future could look like for the United States. We can see it in the
classrooms that are experimenting with groundbreaking reforms, and
giving children new math and science skills at an early age. We can see it in
the wind farms, solar plants, and advanced battery plants that are opening
across America. We can see it in the laboratories and research facilities all
over this country that are churning out discoveries and turning them into
new start-ups and new jobs.
Our job is simply to harness the potential that exists all across this
country, and this economic report lays out the policies that will help our
nation succeed by doing exactly that. In the subsequent chapters, we will
look at the progress that has been made over the past year. In addition, this
report will lay out many of the policies that will foster growth and make
our economy more competitive. That is our great challenge today. And I
am absolutely confident it is one we will meet.

the white house
february 2011

Economic Report of the President

| 7

the annual report
of the

council of economic advisers

letter of transmittal
Council of Economic Advisers
Washington, D.C., February 23, 2011
Mr. President:
The Council of Economic Advisers herewith submits its 2011 Annual
Report in accordance with the provisions of the Employment Act of 1946 as
amended by the Full Employment and Balanced Growth Act of 1978.
Sincerely,

Austan Goolsbee
Chairman

Cecilia Elena Rouse
Member

11

C O N T E N T S

Page

CHAPTER 1. FROM CRISIS TO RECOVERY AND GROWTH..... 19
The Year in Review and the Years Ahead......................................
The Foundations of Growth............................................................
The World Economy .......................................................................
Health Reform..................................................................................
Energy Policy.....................................................................................
Supporting America’s Small Businesses..........................................
Conclusion.........................................................................................

22
23
24
25
25
26
27

CHAPTER 2. THE YEAR IN REVIEW AND THE YEARS
AHEAD........................................................................................................... 29

Developments in 2010 and the Near-Term Outlook...........
Consumption and Saving.................................................................
Developments in Housing Markets.................................................
Business Fixed Investment...............................................................
Business Inventories.........................................................................
Government Outlays, Consumption, and Investment...................
State and Local Government...........................................................
Real Exports and Imports................................................................
Labor Market Trends ......................................................................
Prices.................................................................................................
Financial Markets............................................................................
The Long-Term Outlook...............................................................
Conclusion.........................................................................................

30
30
33
37
38
40
43
44
45
49
50
51
52

CHAPTER 3. THE FOUNDATIONS OF GROWTH.......................... 53

The Importance of Economic Growth..................................... 53
Sources of Economic Growth..................................................... 55
13

Innovation and Economic Growth...........................................
Basic Research...................................................................................
Intellectual Property Rights.............................................................
Antitrust and the Innovative Marketplace.....................................
The Research and Experimentation Tax Credit.............................
Entrepreneurship..............................................................................
National Priority Areas....................................................................
Infrastructure and Economic Growth...................................
Roads, Railways, and Runways.......................................................
Electricity Infrastructure..................................................................
Information Networks......................................................................
Skills and Economic Growth......................................................
Early Childhood Education.............................................................
Elementary and Secondary Education............................................
Higher Education.............................................................................
Job Training......................................................................................
Conclusion.........................................................................................

57
58
60
61
62
62
63
64
65
66
67
69
72
73
76
78
79

CHAPTER 4. THE WORLD ECONOMY.............................................. 81

Status of the World Recovery..................................................
Crisis Fading, But Challenges Remain............................................
The Rebound in World Trade.........................................................
Global Policy Coordination ............................................................
The Evolution of the World Economy...................................
Global Imbalances............................................................................
Determinants of Exports .................................................................
Evolving U.S. Trade Patterns .........................................................
Trade Policy......................................................................................
Negotiating to Open New Markets..................................................
Encouraging Exports by Enforcing Existing Agreements...............
Advocacy to Encourage Exporters, Credit, and Trade
Facilitation........................................................................................
Conclusion.........................................................................................

82
82
86
87
89
89
94
97
103
103
107
109
110

CHAPTER 5. HEALTH CARE REFORM.............................................. 111

Addressing the Rising Cost of Medical Care....................... 114
Trends in Aggregate Health Spending ........................................... 114
Technological Change and Increases in Health Spending............. 115

14 |

Annual Report of the Council of Economic Advisers

Market Imperfections and Increases in Health Care Spending.....
How the Affordable Care Act Promotes High-Value
Medical Care.....................................................................................
Improving the Health Insurance Market .............................
Problems in the Market for Health Insurance...............................
How the Affordable Care Act Addresses the Insurance Market
Failures .............................................................................................
Employers and the Affordable Care Act.........................................
Expanding Medicaid........................................................................
Conclusion.........................................................................................

115
116
118
119
120
122
122
123

CHAPTER 6. TRANSITIONING TO A CLEAN ENERGY
FUTURE......................................................................................................... 125

Initial Steps Toward a Clean Energy Economy....................
Energy Investments in the Recovery Act.........................................
Further Steps Toward a Cleaner Economy.....................................
Next Steps Toward a Clean Energy Economy.......................
A Federal Clean Energy Standard...................................................
Energy Efficiency..............................................................................
Transportation..................................................................................
Research and Development..............................................................
Conclusion.........................................................................................

128
128
130
134
134
136
138
139
140

CHAPTER 7. SUPPORTING AMERICA’S SMALL BUSINESSES.... 143

Impact of the Recession on Small Businesses........................ 144
Job Creation...................................................................................... 144
Financing Small Business................................................................. 145
Changes in Availability of Credit and Capital for Small Business. 146
Administration Policies to Support Small Business........... 150
Tax Cuts for Small Business............................................................ 150
Initiatives to Increase Access to Credit........................................... 151
Policies to Encourage Greater Access to Capital............................ 154
Conclusion......................................................................................... 156
REFERENCES............................................................................................... 157

Contents

| 15

appendixes
A.		
		
B.		
		

Report to the President on the Activities of the Council of
Economic Advisers During 2010 ...................................................... 165
Statistical Tables Relating to Income, Employment, and
Production ............................................................................................ 179

list of figures
1-1.
Unsustainable Expansion: Recent Boom vs. Past Booms...............
1-2.
U.S. Export Growth Lagged Other Top Exporters, 2000–2005.....
1-3.	U.S. Investment Growth Lagged Other Major Economies,
2000-2005..............................................................................................
2-1.
Real GDP Growth by Quarter............................................................
2-2
Consumer Sentiment and the Stock Market....................................
2-3. 	Consumption and Net Worth Relative to Disposable Personal
Income (DPI)........................................................................................
2-4.
Banks’ Willingness to Lend to Consumers.......................................
2-5.
House Prices..........................................................................................
2-6.
Share of Mortgages in Foreclosure....................................................
2-7.
Business Fixed Investment and Cash Flow......................................
2-8.
Inventory Investment and its Contribution to Real GDP Growth
2-9.
Manufacturing and Trade Inventories..............................................
2-10. Deficit as a Share of GDP....................................................................
2-11. U.S. Exports and World GDP.............................................................
2-12. Path of Non-Census Employment in the Past Three Recessions..
2-13. Path of Non-Census Employment Since the End of the Recession
3-1.
Progress in U.S. Real Income Per Person Since 1820.....................
3-2. 	E-Commerce Share of Business-to-Business Manufacturing
Shipments..............................................................................................
3-3.
Broadband Adoption across OECD Countries................................
3-4.
Average Wage and Salary Income by Educational Group.............
4-1.
Real GDP Growth.................................................................................
4-2.
Unemployment Rate............................................................................
4-3.
Import Volume Indexes......................................................................
4-4.
Export Volume Indexes.......................................................................
4-5.
Current Account Deficits or Surpluses as a Share of World GDP
4-6.
U.S. Exports by Sector.........................................................................
4-7.
U.S. Trade in Services..........................................................................
4-8.
Share of U.S. Goods Exports to Mature Foreign Economies.........
4-9.
Share of U.S. Goods Exports to Major Emerging Economies.......

16 |

Annual Report of the Council of Economic Advisers

20
21
22
29
30
31
32
34
36
38
39
40
42
44
45
46
54
67
68
71
83
85
86
87
91
95
96
98
99

4-10.
4-11.
		
4-12.
4-13.
5-1.
5-2.
6-1.
6-2.
7-1.
7-2.
7-3.
7-4.
7-5.
7-6.

Share of U.S. Goods Imports by Foreign Source.............................
U.S. Export Growth vs. Foreign GDP Growth,
2009:Q2 – 2010:Q2...............................................................................
Projected Share of U.S. Nominal Export Growth, 2009–14..........
U.S. Trade Disputes at the WTO.......................................................
GDP and Health Spending..................................................................
Percent of Americans Uninsured.......................................................
U.S. Wind, Solar, and Geothermal Energy Generating Capacity.
State Renewable Energy Standards in 2025......................................
Births, Closures, and Bankruptcies of Firms...................................
Bank Lending to Small Business........................................................
Most Important Problem Facing Small Businesses in 2009...........
Venture Capital Investment................................................................
U.S. Initial Public Offerings................................................................
SBA-Backed Loan Approvals..............................................................

100
101
102
108
114
119
132
136
144
146
147
148
149
152

list of tables
2-1.
Administration Economic Forecast................................................... 51
2-2.
Components of Potential Real GDP Growth, 1953–2021.............. 52
4-1. 	Import Tariffs, Nontariff Measures, and Trade Restrictiveness,
2008........................................................................................................ 104

list of boxes
3-1.
Technological Progress and the Advance of Health....................... 56
3-2.
The Power of Market-Based Innovation........................................... 58
3-3.
The Social Gains from Innovation..................................................... 59
3-4.
STEM Education and Educate to Innovate...................................... 75
3-5.
America’s Universities: Leading the World...................................... 77
3-6.
Skills for America’s Future.................................................................. 79
4-1.
What Do We Owe the Rest of the World?....................................... 92
4-2.
The Korea-United States Free Trade Agreement............................ 105
5-1.
Early Provisions of the Affordable Care Act.................................... 113
6-1.
Energy Security Benefits of Reduced Oil Consumption................. 126
6-2.
Clean Energy Investments in the Recovery Act............................... 129
6-3. 	The Recovery Act and ARPA-E: Spurring Innovation to Transform
the Energy Economy............................................................................ 131
6-4.
The Social Cost of Carbon: A Tool for Cost-Effective Policy........ 133

Contents

| 17

C H A P T E R

1

FROM CRISIS TO
RECOVERY AND GROWTH

T

he recession that began at the end of 2007 was both the longest and
the worst since the Great Depression more than 75 years ago. By some
measures, such as the total jobs lost, it was as deep as the past three recessions combined.
It was a breathtaking moment of free fall in the private sector. Capital
markets collapsed. Credit to businesses froze. Banks failed. Foreclosures
soared. National output fell at rates not seen in decades. And millions of
people lost their jobs.
Policymakers in the Administration, Congress, and the Federal
Reserve responded with aggressive, concerted actions to stop the crisis.
Although there will likely be debates over the impact of each of those
responses for decades to come, few can dispute that the economic climate
has improved substantially from the darkest days at the end of 2008 and the
beginning of 2009 in large part because of these actions. And the Nation’s
economy did not fall into depression.
As gross domestic product (GDP) has been recovering, and as the
private sector has added more than 1.1 million jobs since the beginning
of 2010, economic policy has shifted from crisis to recovery and fostering
growth.
This year, the Economic Report of the President puts its primary focus
on the particular moment in which the Nation now finds itself—a moment
when the most important priority is reestablishing the primacy of broadbased growth to ensure the well-being of the American people and to keep
America the premier economy on Earth.
Without question, growing our way out of the hole left by the crisis
will take a determined effort across industries, states and localities, and the
Federal Government. Data from many countries over many years document how painful the emergence from a deep financial crisis can be. The

19

challenges today have been heightened by the need to confront multiple
pressures, many of which are lingering effects of the crisis itself: financial
woes in Europe, continued weakness in the U.S. housing market, depleted
state and local government budgets, and the need to improve the Nation’s
long-term fiscal situation. And yet the American economy has now been
growing for more than a year and a half. The private sector, as of this writing,
has added jobs for 11 consecutive months. The economy must grow faster,
but certainly this is movement in the right direction.
The challenge will be to shift the focus of the U.S. recovery away
from the boom-and-bust cycles of the recent past toward more sustainable
growth. In particular, from 2001 to 2005, the two overwhelming drivers of
growth were increased consumer spending and investment in residential
real estate. Each was unsustainable. Consumption spending grew faster
than income, and the personal saving rate fell dangerously close to zero.
The bursting of the housing bubble left millions of vacant homes and
lowered home prices such that investment in the housing sector is still
struggling to recover.
Figure 1-1
Unsustainable Expansion: Recent Boom vs. Past Booms
Share of contributions to growth
0.15
0.10
0.05
0.00
-0.05
-0.10
-0.15
-0.20
Personal consumption
expenditures

Residential
investment

Exports

Business fixed
investment

Note: The figure shows the share of contribution to GDP growth from 2001:Q1 to 2005:Q4 minus
the share of contribution to growth from 1953:Q2 to 2001:Q1.
Source: Bureau of Economic Analysis, National Income and Product Accounts.

Figure 1-1 shows how imbalanced the early 2000s were relative to
normal expansions in the second half of the 20th century. It illustrates
the share that personal consumption, residential investment, exports, and

20 |

Chapter 1

nonresidential business fixed investment contributed to GDP growth during
the five years following the business cycle peak in 2001:Q1, relative to the past
averages. Consumption and residential investment were dramatically
outsized contributors to GDP growth during the recent boom compared
to the past. Business investment and exports were dramatically undersized.
U.S. nonresidential investment and exports during 2000–2005 were
weak not only relative to our own history, but also relative to other major
economies. Figure 1-2 shows that U.S. nonresidential investment barely
grew at all over those years. Nonresidential investment grew faster in other
G-7 countries than in the United States and grew even faster in a broader set
of advanced economies.
Figure 1-2
U.S. Investment Growth Lagged Other Major Economies, 2000–2005
Growth (percent)
20
18
16
14
12
10
8
6
4
2
0
United States

Other G-7

All other advanced OECD

Note: Cumulative growth in real gross private nonresidential fixed capital formation, 2000–
2005.
Sources: OECD Economic Outlook no. 88, Annex Table 6; CEA calculations.

Figure 1-3 shows the cumulative growth of exports from the United
States during 2000–2005, compared with export growth in other highincome economies and other major exporters. Clearly, U.S. export growth in
the early 2000s was weak relative to export growth in other major economies.
The Nation can do better, and the Administration has outlined a plan
to enable it to do so. It is important to remember that the recent consumption
and residential booms were aberrations. The goal now is to return to more
sustainable sources of growth, where nonresidential business investment
and exports take a more central role. To help business investment reclaim
this role as a key driver of growth, the Administration has made extensive
From Crisis to Recovery and Growth

| 21

efforts to encourage businesses to invest at home—through tax policy, credit
policy, and the public investments that make the United States an attractive
place to do business. With the momentum of the recovery building among
our trading partners, the Administration also believes that we should turn to
greater exports as an important source of growth going forward.
Figure 1-3
U.S. Export Growth Lagged Other Top Exporters, 2000–2005
Growth (percent)
80
70
60
50
40
30
20
10
0
United States

Other advanced top 20
exporters

Other advanced and emerging
top 20 exporters

Notes: Cumulative growth in exports of goods and services, 2000–2005. This analysis of the top
20 exporters excludes Belgium due to lack of data prior to 2002.
Sources: World Bank, World Development Indicators; CEA calculations.

The United States established itself as the premier economic power
in the world based on the energy and ingenuity of its people, and the
Administration will continue to reinforce this foundation of our growth—
educating workers, investing in science, and building the infrastructure
that American companies need to succeed. As the President says, with the
policies in place to support innovation and sustained economic growth, the
United States will “win the future.”
This Economic Report follows these themes in greater detail and also
examines other key aspects of the economy, as described below.

The Year in Review and the Years Ahead
Coming out of the deepest recession since the 1930s, the economy
completed its sixth consecutive quarter of recovery by the end of 2010, as
described in Chapter 2. Real GDP grew 2.8 percent during the four quarters
of 2010, up from 0.2 percent a year earlier. During 2010, stress in financial

22 |

Chapter 1

markets eased, the stock market gained 13 percent, and the economy added
1.1 million private sector jobs.
Recent growth in consumer spending reflects improvements in sentiment, in the stock market, and in banks’ willingness to lend to consumers,
thus easing many of the adverse shocks received during the recession. The
increase in consumer spending has been achieved without a significant
decline in the personal saving rate.
Housing prices have stabilized, but construction activity and most
aspects of the housing market remain weak, about one-quarter of mortgages
are under water, and the foreclosure rate remains high.
Equipment and software investment grew rapidly during 2010, but
investment in business structures did not. Cash flow is strong. The inventory
investment contribution to real GDP growth has moderated. Export growth
has been strong.
Government policy has supported the recovery during 2009 and
2010, and the Tax Relief, Unemployment Insurance Reauthorization, and
Job Creation Act, the compromise tax framework signed into law by the
President on December 17, 2010, will help the economy in 2011. The position of state and local governments, however, remains difficult. At the same
time, long-run fiscal responsibility is crucial, and the Administration has
taken a number of steps to reduce deficits in coming years.
Private sector employment grew in each of the final 10 months of
2010, and the unemployment rate fell during 2010. The Recovery Act, the
Hiring Incentives to Restore Employment Act, and the Education Jobs and
Medicaid Assistance Act all helped to increase employment.
The Administration’s economic forecast reflects the view that the U.S.
economy is operating substantially below its potential level, as indicated
by the elevated unemployment rate. Although the Administration estimates that the potential growth rate of real GDP is 2.5 percent, it believes
that real GDP can grow faster over the next six years as the gap between
actual and potential GDP declines. Reflecting this above-trend growth, the
Administration projects that the unemployment rate will continue to fall
over time.

The Foundations of Growth
As the United States begins to shift from crisis to recovery and growth,
the Nation needs to make critical investments in innovation, infrastructure,
and skills. Chapter 3 details Administration policies in these areas that are
designed to deliver rapid, sustained, and broad-based economic growth and
quality jobs in the years ahead.

From Crisis to Recovery and Growth

| 23

The historical rise in American standards of living, in broad measures
of income per person, in health and longevity, and in the variety of goods
and services that Americans consume, demonstrates the power of long-run
trends over short-run economic cycles in determining Americans’ economic
prosperity. Physical capital (investment), human capital (skills), and innovation are the primary sources of economic growth but have been neglected
for years. To foster innovation, the Administration is proposing critical
investments in basic research, intellectual property rights, antitrust enforcement, research tax credits, entrepreneurship, and national priority areas,
such as biotechnology and nanotechnology, health information technology,
and clean energy. These investments work to ensure that the private sector,
the Nation’s engine of innovation, is not saddled by market failures but can
forcefully and efficiently drive America’s economic growth. Chapter 3 also
discusses the role of infrastructure—including 21st-century transportation,
electricity, and information networks—as a critical platform for growth.
Emphasizing the core importance of skills to U.S. economic growth
and to the quality jobs of today and tomorrow, Administration policy
focuses on enhancing early childhood education, elementary and secondary
schooling, higher education, and job training. These efforts not only help
U.S. citizens live up to their potential and compete in a global economy, but
also work to reverse the Nation’s rising wage inequality and declining rates
of educational attainment relative to other countries.

The World Economy
The world economy saw sustained progress toward economic recovery
in 2010, but growth during the recovery has been unevenly distributed
between advanced and emerging economies.
As part of a broader shift toward growth in the United States that
relies more on exports and investment, the President has set a goal of
doubling nominal U.S. goods and services exports in five years: from $1.57
trillion in 2009 to $3.14 trillion a year by the end of 2014. Through the first
three quarters of 2010, exports increased by 17 percent relative to the same
period in 2009, representing a significant step toward that goal. A sizable
portion of that growth came from increasing exports to emerging markets.
Chapter 4 details the ways in which a changing world economy will affect
this goal, as well as the U.S. role in the world economy.
The President’s National Export Initiative has identified several areas
in which U.S. trade policy can complement the forces already at work in the
evolving global economy to help achieve this export goal. The Administration
is committed to a trade policy that opens new markets for U.S. exporters by
reducing foreign government–imposed tariffs and nontariff barriers. The
24 |

Chapter 1

Administration is also actively enforcing commitments taken on by its
trading partners and assisting U.S. exporters with gaining access to trade
credit and streamlining the exporting process.

Health Reform
A signature effort of the Administration has been to ensure the
security and affordability of health insurance coverage while extending
coverage to millions of uninsured Americans. The Affordable Care Act,
which President Obama signed into law in March 2010, is the latest chapter
in nearly a century-long history of efforts to ensure comprehensive health
insurance coverage for more Americans, coupled with major steps in the
quest for high value in health spending. For decades, the policy problem
posed by tens of millions of uninsured Americans has overshadowed the
underlying economic challenge of how to control costs while preserving
the high quality of the American medical care system. In addition to implementing policies to cover the uninsured, the Affordable Care Act introduces
a framework for moving the medical care system toward high-value care.
Chapter 5 describes how the Affordable Care Act controls costs and
improves quality by strengthening physician and hospital incentives to
improve the quality of care and provide care more efficiently. These delivery
system reforms are paired with reforms that create new coverage options
through competitive state marketplaces for insurance, ensure access to
affordable coverage through the provision of tax credits for small businesses
and individuals, and put in place individual and employer responsibility
requirements. Over the next decade, these reforms are expected to expand
coverage to 32 million Americans, make health care more affordable, and
improve the quality of care. The Affordable Care Act is also fiscally responsible. The Congressional Budget Office has estimated that the law will reduce
projected deficits by $230 billion during 2012–21 and by more than $1 trillion in the subsequent decade.

Energy Policy
Energy plays a critical role in the economy, and Chapter 6 outlines key
steps the Administration is taking to transition the Nation toward cleaner
sources of energy that have the potential to support new industries, exports,
and high-quality jobs; to improve air quality and reduce the dangers of
climate change; and to enhance America’s energy security and international
competitiveness.
As an initial step, the Recovery Act directed over $90 billion in public
investment and tax incentives to increasing renewable energy sources such
as wind and solar power, weatherizing homes, and boosting R&D for new
From Crisis to Recovery and Growth

| 25

technologies. Looking forward, the President has proposed a Federal Clean
Energy Standard to double the share of electricity produced by clean sources
to 80 percent by 2035, a substantial commitment to cleaner transportation
infrastructure, and has increased investments in energy efficiency and clean
energy R&D.
These programs are interconnected in important ways. They are all
motivated by the fact that the national benefits from clean energy go beyond
its immediate producers or consumers. The programs focus on different
parts of the clean energy supply chain—innovation, manufacturing, generation, and use—and thus complement one another. And in the end, the
Administration’s clean energy programs are linked by the goal that in
coming years Americans will breathe cleaner air, enjoy better health, face
reduced risks from climate change, and work and do business in an economy
based on a safer and more secure energy supply.

Supporting America’s Small Businesses
America’s small businesses are an essential building block to economic
growth and prosperity, in part because entrepreneurs create a disproportionate share of net new jobs in the U.S. economy. Chapter 7 examines the
heavy toll the recession took on small businesses, dramatically reducing
the availability of credit and capital needed to add capacity, hire more
workers, and develop new products. In response to these challenges, the
Administration has taken several important steps, most notably through the
Recovery Act, the Small Business Jobs Act, and the Startup America initiative, to increase the flow of credit and capital to small business.
The Administration has enacted 17 tax cuts for small businesses to
support America’s entrepreneurs. It has also enacted policies to make health
insurance more affordable for small businesses and entrepreneurs and to
facilitate small business exports to new markets overseas. Taken together,
these efforts have improved the outlook for American small business and
created a stronger environment for entrepreneurship.

26 |

Chapter 1

Conclusion
The past year has seen crucial improvement in the American
economy. Although the recession generated devastating job losses and an
output decline of historic proportions, the economy is no longer on the
brink of a depression. Growth has resumed, jobs are returning, and unemployment is falling. Now is the time to chart the course for an economy that
will provide jobs, new and revitalized industries, and rising living standards
for Americans. This Report lays out the central elements of the path forward.

From Crisis to Recovery and Growth

| 27

C H A P T E R

2

THE YEAR IN REVIEW AND
THE YEARS AHEAD

F

ollowing the deepest recession since the Great Depression, the U.S.
economy completed its sixth consecutive quarter of recovery at the end
of 2010. The recovery began in the second half of 2009 and the first half
of 2010, but real gross domestic product (GDP) then decelerated around
midyear before growth quickened again to 3.2 percent at an annual rate
in the fourth quarter of 2010 (Figure 2-1). Private sector employment also
decelerated during the summer, before picking up in the fourth quarter.
With the financial crisis now well behind us, and considerable slack
remaining in employment and resources, the U.S. economy has tremendous
potential to grow without reigniting inflation.
Figure 2-1
Real GDP Growth by Quarter
Percent change (annual rate)
6.0
4.0

3.2
2.3

2.0

5.0
3.7

2.9
1.6

0.9

1.7

2.6

Q4p
3.2

0.6

0.0

-2.0

-0.7

-4.0

-0.7

-4.0
-4.9

-6.0
-6.8

-8.0
2007:Q1

2008:Q1

2009:Q1

2010:Q1

Note: Q4p indicates preliminary data for 2010:Q4.
Sources: Bureau of Economic Analysis, National Income and Product Accounts.

29

Developments in 2010 and the Near-Term Outlook
Consumption and Saving
Consumer spending composes about 70 percent of GDP and, as is
typical, has been less volatile than the overall economy during this recession and recovery. Consumption made up about 40 percent of the decline
in GDP during the recession and about 54 percent of the recent rebound.
Movements in this important component of spending reflect changes in
consumer sentiment, household wealth and income, credit availability,
government income support programs, and taxes.
Measures of consumer sentiment fell to their lowest levels of the recession from November 2008 through February 2009 and rebounded sharply
through May 2010. Confidence slipped a few points around midyear 2010 and
then was roughly stable through October before picking up toward the end
of the year. Nevertheless, sentiment remains well below pre-recession levels.
Figure 2-2
Consumer Sentiment and the Stock Market
Consumer sentiment index
130

Stock market index
17,000
Total stock market index (Wilshire 5000)
15,000

110
Dec-2010

13,000

90
11,000
70

Consumer sentiment,
U. of Michigan

Jan-2011

50

9,000

7,000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Note: Grey areas represent recessions.
Sources: Wilshire Associates Incorporated; Thompson Reuters (University of Michigan
Surveys of Consumers).

Stock market fluctuations closely parallel those of consumer sentiment (Figure 2-2), with a few notable exceptions, such as during 2007,
when sentiment started falling a year earlier than the stock market did.
Nevertheless, sentiment and the stock market have shown similar rebounds
during the recovery, recapturing by December 2010, 95 percent and 76

30 |

Chapter 2

percent (respectively) of their recessionary decline since the December
2007 business-cycle peak. Thus, although sentiment and the stock market
sometimes move independently, both have supported the 2010 growth in
consumer spending.
Figure 2-3
Consumption and Net Worth Relative to Disposable Personal Income (DPI)
Consumption/DPI ratio
1.10

Years of disposable income
7
6

1.05
Net worth-to-DPI ratio (right axis)

5

1.00

4
0.95

Consumption-to-DPI ratio (left axis)

3
2010:Q4

0.90

2

Net housing wealth-to-DPI ratio (right axis)
0.85
0.80

1
Stock market wealth-to-DPI ratio (right axis)
1952

1962

1972

1982

0
1992

2002

Note: Wealth components for 2010:Q4 were estimated by the CEA.
Sources: Bureau of Economic Analysis, National Income and Product Accounts; Federal Reserve
Board; CEA calculations.

After consumer sentiment, a second prime determinant of consumer
spending is household wealth (also called net worth). As can be seen in
Figure 2-3, the consumption rate (the share of disposable income consumed)
tends to fluctuate with the wealth-to-income ratio. A one dollar drop in
wealth appears to reduce annual consumer spending by two to four cents.
The decline in the wealth-to-income ratio from its 2007 average to its low
point in the first quarter of 2009 amounted to 1.8 years of income. (In other
words, household wealth declined by the amount of income earned in 1.8
years.) This was the deepest decline since compilation of these data began in
1952. Of this 1.8 year-of-income decline, 1.1 years of income was lost from
stock market wealth, and about 0.6 year from housing wealth (net of mortgage debt owed). (Components of wealth aside from stock market wealth
and housing wealth edged down slightly relative to income.) Since 2009:Q1,
the wealth-to-income ratio has recovered about 0.4 year of income, with the
rebound entirely due to stock market gains as housing and the other forms
of wealth have edged a bit lower relative to disposable income. After netting
out this rebound, the drop in wealth from 2007 through end-of-year 2010
The Year in Review and the Years Ahead

| 31

has been about 1.3 years of income. A decline in wealth of this magnitude
can be expected to set off an adjustment process that raises the saving rate
by about 4.3 percentage points. With the saving rate having risen from an
average of 1.9 percent during 2005–07 to 5.8 percent in 2010, the adjustment
of personal saving to the lower level of household net worth is now in line
with the fundamentals, taking the historical relationships as a guide.1
Another influence on consumer spending is the willingness of financial institutions to lend to households. Households prepare for lean times by
saving out of regular income or by planning to draw on bank credit such as
credit cards. When bank credit becomes less readily available, some households react by saving more so that they can build up their buffer stocks,
and other households, who had been planning to draw on their credit lines,
become unable to do so because credit is not available. The sharp decline in
banks’ willingness to lend during the recession (Figure 2-4) is among the
reasons why the saving rate increased. During 2010, however, the Federal
Reserve’s Senior Loan Officers Survey shows that banks became somewhat
more willing to lend to consumers.
Figure 2-4
Banks' Willingness to Lend to Consumers
Willingness
100

75
50
2010:Q4

25
0
-25
-50
-75
-100
1970

1980

1990

2000

2010

Note: Willingness = the net percentage of domestic respondents reporting increased willingness
to make consumer installment loans.
Source: Federal Reserve Board, Senior Loan Officer Opinion Survey on Bank Lending
Practices.

1 The model was described in the 2010 Economic Report, pp. 117–20.

32 |

Chapter 2

Various income support programs have also likely influenced
consumer spending during the past year. Extended unemployment benefits
and emergency unemployment benefits totaled $43 billion in 2009 and
$65 billion in 2010, up from $8 billion in 2008. These benefits stabilized
consumer spending relative to the path that it would have taken otherwise.
Consumer spending has also been sustained by other policies such
as the Making Work Pay (MWP) tax credit, which provides up to $400
($800 for working married couples) for those with earned income up
to $75,000 ($150,000 for couples), and progressively less for those with
income above these limits. For the economy as a whole, MWP lowered tax
liabilities (and boosted disposable income) by roughly $50 billion and $57
billion in calendar years 2009 and 2010, respectively. For 2011, MWP is
being replaced—by provisions of the Tax Relief, Unemployment Insurance
Reauthorization, and Job Creation Act enacted by Congress at the end of
2010 (discussed more fully later in this Chapter). Provisions included a 2
percentage point, one-year reduction in the payroll tax that funds Social
Security, reducing tax liabilities by about $112 billion. In addition, the new
law supports consumer spending by continuing the extension of unemployment insurance through 2011. This new law was proposed, legislated, and
signed after the Administration economic forecast was finalized, and so its
effects are not included in that forecast.
Although purchases of durable goods, such as motor vehicles and
household appliances, are regarded as consumption in the national income
and product accounts, they can also be considered a form of investment
because they are long-lasting and provide services for the duration of
ownership. Consumer durable purchases are typically more volatile than
other purchases, declining faster than overall consumption during a cyclical
downturn and growing faster than overall consumption during cyclical
recovery periods (for example, durable goods purchases grew at an 11.1
percent annual rate during the four quarters of 2010). Rapid growth of
durables purchases may pull down the saving rate temporarily at some point
during the early part of the recovery.

Developments in Housing Markets
As shown in Figure 2-5, the CoreLogic home price index, a comprehensive and closely watched measure of existing home prices, dropped 32
percent from the peak of the housing market in April 2006 to the trough
in March 2009, following the bursting of the housing bubble that built up
between 2002 and 2005. The United States had never before suffered such
a sharp drop in national house prices. Although house prices fell about 30
percent in nominal terms during the Great Depression, general price levels
The Year in Review and the Years Ahead

| 33

at that time fell 25 percent. As a result, the real house price decline during
the Great Depression was only about 7 percent. During the current episode,
the overall inflation rate has slowed but not turned negative, making the
recent decline in house prices far larger in real terms than that during the
Depression.
Figure 2-5
House Prices
Index (January 2003=100)
160
150
140
130
120
110
Nov-2010

100
90
80
2003

2004

2005

2006

2007

2008

2009

2010

2011

Sources: First American CoreLogic National House Price Index including distressed sales;
CEA calculations.

House prices have generally stabilized since March 2009, fluctuating
around a roughly flat trend line. Nonetheless, house prices have been volatile
over the past year, because of unusual market conditions such as the large
supply of distressed homes on the market and the short-term impetus to
demand from temporary tax credits for homebuyers. Among the factors
that continue to keep sales and starts below their long-run trend levels are
modest income growth, slower household formation, and tighter mortgage
underwriting standards, as well as heightened uncertainty among potential homebuyers and the large “shadow inventory” of foreclosed and other
distressed properties on (or soon to be on) the market.
The bursting of the housing bubble has posed serious challenges to
homeowners. Houses are typically leveraged assets (that is, financed with
debt); according to the Census Bureau’s American Housing Survey, about 68
percent of owner-occupied houses carry a mortgage. Leverage amplifies the
effects of price changes on household net worth because price changes affect
asset values while leaving outstanding debt unchanged. Because mortgage

34 |

Chapter 2

debt does not change when house prices fall, declines in prices cause even
larger declines in home equity (that is, the house value less total mortgage
debt). For example, the owner of a $100,000 house with an $80,000 mortgage
would have $20,000 in home equity. If prices fell 10 percent, the house would
be worth $90,000 and home equity would fall to $10,000—a 50 percent
decline in equity from a 10 percent decline in prices. The higher the leverage,
the larger will be the decline in home equity for a given decline in the value
of the house. For that reason, the 32 percent decline in house prices led to a
56 percent decline in home equity, resulting in a loss of about $7.5 trillion in
net housing wealth over three years.
For many of the most highly leveraged households—in particular
those who bought their homes near the peak of the market with no or low
down payments—the decline in the value of their home was larger than
their equity, meaning that their houses were worth less than their mortgages. Many of these underwater borrowers subsequently defaulted on their
mortgage payments, often because they could not keep up with payments
after losing income during the recession and could not sell their homes for
enough to cover the mortgage debt. Although home prices in many parts of
the country have stabilized, about a quarter of homeowners with mortgages
remain underwater. Total negative equity is estimated to be roughly $750
billion. In the states with the highest shares of households underwater—
Nevada, Arizona, Florida, Michigan, and California—a third or more of
homeowners with mortgages have negative equity (in Nevada, the share is
about two-thirds). These homeowners are the most likely to default on their
loans: according to CoreLogic, the rate of foreclosure initiation rises steadily
as negative equity increases, reaching about 14 percent for homeowners
whose homes are worth less than half their mortgage balance.
As Figure 2-6 shows, although the foreclosure rate fell in 2010, it
remains extraordinarily high by historical standards. The rate has stayed
high partly because of long lags in the foreclosure timeline (a bank may take
months or even years to resell a house after its original owner defaults on
the mortgage) and partly because falling house prices exacerbated the recession, leading to job losses that fed back into more foreclosures. Problems
with foreclosure paperwork that came to light last fall have contributed to
the slower rate of new foreclosures as lenders take extra time to verify that
foreclosures are properly documented.

The Year in Review and the Years Ahead

| 35

Figure 2-6
Share of Mortgages in Foreclosure
Percent
5

4

3

2

1

0
2002:Q3

2004:Q3

2006:Q3

2008:Q3

2010:Q3

Source: Mortgage Bankers Association, National Delinquency Survey.

The Obama Administration, as well as the previous Administration
and the Federal Reserve, took extraordinary policy actions in response to the
enormous damage done by the collapse of housing markets. In September
2008, to keep the flow of new mortgage credit open, the Treasury placed the
government-sponsored enterprises (GSEs), Fannie Mae and Freddie Mac,
into conservatorship and committed sufficient capital to allow them to keep
funding new mortgages. The Federal Housing Administration (FHA) also
ramped up its lending substantially, offering new mortgages to many households who could otherwise not obtain them. At the height of the boom, the
combined market share of the GSE, FHA, and Veterans Administration
loans was about 36 percent of new originations; today the share is about 90
percent. Meanwhile, from early 2009 through the first quarter of 2010, the
Federal Reserve purchased $1.25 trillion—and the Treasury, more than $200
billion—of mortgage-backed securities guaranteed by Fannie Mae, Freddie
Mac, and the Government National Mortgage Association (Ginnie Mae) on
the open market, helping to push mortgage rates to record low levels. Many
households were thus able to refinance their mortgages and reduce their
monthly payments.
Nonetheless, weakness in the housing market has remained, resulting
in continued foreclosures. The Administration’s housing programs,
including the Home Affordable Refinance Program (HARP), the Housing
Affordable Modification Program (HAMP), and funds allocated to state and

36 |

Chapter 2

local housing finance agencies in the hardest-hit areas, have helped many
borrowers achieve more affordable mortgages, but the housing market
remains under stress in many areas, hampering the economic recovery.

Business Fixed Investment
Overall nonresidential investment grew at a rapid 10 percent annual
rate during the four quarters of 2010, but its two main components diverged
sharply. Equipment and software investment grew 16 percent, while investment in nonresidential structures fell 6 percent.
More than a third of the growth in equipment and software investment during 2010 was in information-processing equipment and software,
which grew 11 percent. A bit less than a third was in transportation equipment, which grew 55 percent (with most of the strength in motor vehicles).
Investment in industrial equipment also grew notably, 15 percent (accounting
for more than an eighth of equipment and software investment growth).
Within the nonresidential structures category, investment in buildings fell in 2010, but that decline was partially offset by rapid growth of
investment in structures for petroleum and natural gas drilling (51 percent
at an annual rate). Declines in the buildings component were widespread,
from health care facilities, to office buildings, shopping centers, factories,
and power generation plants. Because of the long lead time required, investment in structures tends to lag cyclical turning points.
Overall business investment may be poised to grow rapidly because
firms now appear to have plenty of internal funds. Corporate profits have
rebounded almost to their pre-recession level. As a result, corporate cash
flow, a measure of internal funds available for investment that includes
undistributed profits and depreciation, has also risen substantially during
the recovery. Ordinarily, nonresidential investment exceeds corporate
cash flow (Figure 2-7), and the corporate sector as a whole must borrow to
finance its investments. (Noncorporate entities are also responsible for some
investment.) But because of the corporate sector’s recent strong growth, net
corporate cash flow today is in the unusual position of exceeding investment. A large share of these investable funds has been channeled to financial
investments rather than to new physical capital, as can be seen by the rising
level of liquid assets held by nonfinancial corporations.

The Year in Review and the Years Ahead

| 37

Figure 2-7
Business Fixed Investment and Cash Flow
Percent of potential GDP
14
13
12
11

2010:Q3
Nonresidential fixed
investment

10
9
8

Cash flow

2010:Q4

7
6
5

Liquid assets held by
nonfinancial corporations

4
1990:Q1

1994:Q1

1998:Q1

2002:Q1

2006:Q1

2010:Q1

Notes: Potential GDP is a CBO estimate. Cash flow is from the National Income and Product
Accounts, and nonfinancial liquid assets are plotted using their three-quarter moving averages.
Sources: Bureau of Economic Analysis, National Income and Product Accounts; Federal
Reserve Board (Flow of Funds L.102); Congressional Budget Office.

Another contribution to investment growth is the forecast increase
in real GDP growth in 2011 because the level of investment is often related
to the growth rate of GDP. Also spurring investment during 2011 will be
the provision of the Tax Relief, Unemployment Insurance Reauthorization,
and Job Creation Act allowing full expensing for tax purposes of equipment
investment put in place during the year.

Business Inventories
Inventory investment played a large role in the initial stages of
recovery. Inventory investment—that is, the change in inventories—is one
of the components of GDP, so the change in inventory investment (the
change in the change in inventories) affects the growth of GDP. Inventory
investment was increasingly negative in the first and second quarters of 2009
(the light blue bars in Figure 2-8), and the inventory contribution to GDP
growth was negative (the blue bars). Inventory investment started to rise in
the third quarter of 2009, from a negative value to a less-negative one, and
that rise contributed positively to GDP growth through the third quarter
of 2010. During the first three quarters of 2010, inventory investment

38 |

Chapter 2

Figure 2-8
Inventory Investment and its Contribution to Real GDP Growth
Percent or percentage points (annual rate)
4

2

Inventory investment as a
share of GDP
Contribution to real GDP
percent change

Q4p

0

-2

-4

-6
2008:Q1

2008:Q3

2009:Q1

2009:Q3

2010:Q1

2010:Q3

Notes: Inventory investment as a share of GDP is computed as 4 x [real inventory
investment / real GDP(-1)]. Q4p indicates preliminary data for 2010:Q4.
Source: Bureau of Economic Analysis, National Income and Product Accounts; CEA
calculations.

contributed an average of 1.7 percentage points at an annual rate to real
GDP and accounted for more than half of the period’s real GDP growth.
Inventory investment commonly accounts for a high share of growth during
the early stages of recovery.
By the third quarter, this recent increase in inventory investment had
raised the stock of inventories, returning it to a more normal level relative to sales. The sharp fourth-quarter rise in final sales (7.1 percent at an
annual rate according to preliminary data) exceeded the rise in production,
and inventory investment dropped off sharply, subtracting more than 3
percentage points from GDP. Although inventories remain lean with respect
to sales, they are less so than they were earlier in the recovery (Figure 2-9) so
that inventory investment may play a smaller part in GDP growth over the
next year than it did during the past two years.

The Year in Review and the Years Ahead

| 39

Figure 2-9
Manufacturing and Trade Inventories
Months' supply
1.5

Trillions of 2005 dollars
1.5

Inventory level (right axis)

1.4

1.4

1.3

Nov

1.3

Inventory-to-sales ratio (left axis)
1.2

1.2

Jan-04

Jan-06

Jan-08

Jan-10

Note: The real inventory level is from the National Income and Product Accounts, and the
inventory-to-sales ratio is from the Census Bureau.
Sources: Bureau of Economic Analysis, National Income and Product Accounts; Census Bureau.

Government Outlays, Consumption, and Investment
The Federal budget deficit on September 30, the end of fiscal year
2010, was $1.29 trillion, down about 8.5 percent from $1.41 trillion the
year before. As a share of GDP, the deficit fell from about 10 percent in FY
2009 to 8.9 percent in FY 2010. With the recovery beginning to take hold,
Federal receipts rose about 3 percent during 2010, while spending fell about
2 percent. Corporate tax receipts, in particular, increased nearly 39 percent
as taxable profits rose. Despite their pickup in 2010, corporate tax receipts
are still about half what they were in FY 2007—a measure of the depth of the
budget hole created by the recession. Receipts from individual income taxes
and payroll taxes continued to fall in FY 2010, in part because of lower labor
market activity linked to the recession and in part because of tax cuts for
households implemented as part of the Recovery Act of 2009.
The Recovery Act was enacted when U.S. real GDP was contracting
at an annual rate of more than 6 percent and employment was falling by
more than 700,000 jobs a month. The Recovery Act’s spending provisions,
tax cuts, and aid to states and individuals were designed to cushion the
fall in demand caused by the financial crisis and the subsequent decline in
consumer and business confidence, household wealth, and access to credit.
As of the third quarter of 2010, the Council of Economic Advisers (CEA)
estimates that the Recovery Act has raised the level of GDP, relative to what
40 |

Chapter 2

it otherwise would have been, by 2.7 percent and raised employment, relative to what it otherwise would have been, by between 2.7 million and 3.7
million jobs.2
According to the Congressional Budget Office (CBO 2010), net
Federal outlays arising from the financial crisis—including the Troubled
Assets Relief Program (TARP), Federal deposit insurance payouts, and
Treasury payments to the government-sponsored enterprises Fannie Mae
and Freddie Mac—were $367 billion lower in 2010 than in 2009, because of
lower spending and additional repayments of TARP loans. Repayments by
banks under TARP accounted for a large share of the additional receipts. In
2009, the Administration estimated that TARP would cost $341 billion. These
estimates have steadily decreased, and following recent developments such
as repayments from the insurance company AIG and sales of governmentowned shares of stock in General Motors and Citigroup, the President’s 2012
Budget estimates TARP’s deficit cost will be $48 billion. Recent estimates from
the CBO are even lower. By contrast, short-term recession-related spending
increased during 2010; spending on defense and entitlement programs such as
Social Security and Medicare also rose, though at a slower pace than its average
over the past five years. Overall, spending fell from about 25 percent of GDP
in 2009 to 23.8 percent in 2010. Excluding short-term expenditures, spending
relative to GDP was about 21 percent in 2010, roughly the same as its average
over the past 30 years.
Deficits are expected to decline quickly over the coming years as the
recovery picks up, short-term countercyclical measures wind down, and the
Administration’s proposed budget cuts occur. As shown in Figure 2-10, the
Administration projects that the deficit as a share of GDP will fall from 10.9
percent in FY 2011 to 4.6 percent in FY 2013, and to 3.2 percent in FY 2015.
Nonetheless, major long-term fiscal challenges remain. Even before
the financial crisis and ensuing recession, the long-run budget outlook was
problematic, in part because a series of policy choices over the past decade
had reduced projected revenue while increasing projected spending. At the
same time, trying to balance the budget all at once would be counterproductive because the recovery of the private sector is still fragile and would likely
be imperiled by a sharp and immediate fiscal contraction.
The 2010 Tax Relief, Unemployment Insurance Reauthorization,
and Job Creation Act, passed in December 2010, extended tax cuts for all
Americans for two years. As a result of the new law, families will not see their
taxes increase in 2011 and 2012, as had been scheduled. It also introduces
a 2 percentage point payroll tax cut that will provide about $112 billion of
2 See CEA (2010b). The CEA uses two methods of estimating the impact of the Recovery Act
on employment. The multiplier approach yields 2.7 million jobs, while the statistical projection
approach yields 3.7 million.

The Year in Review and the Years Ahead

| 41

tax relief to working Americans in 2011. In addition, the new law continues
the extension of unemployment insurance so that workers who lost their job
through no fault of their own will continue to receive support through 2011.
Together, the tax cuts and additional unemployment insurance payments
will boost consumption. The new law also introduces strong incentives to
firms to invest in 2011 by allowing them to expense the full cost of their
equipment investment.
Figure 2-10
Deficit as a Share of GDP
Percent
12

10

8

6

4

2
2009

2011

2013

2015

2017

2019

2021

Sources: Office of Management and Budget, Budget of the U.S. Government (2011);
Bureau of Economic Analysis, National Income and Product Accounts.

In the absence of new tax legislation, the simultaneous expiration of
the Making Work Pay tax cuts and of the tax cuts enacted between 2001 and
2003 would have reduced real GDP growth over the four quarters of 2011
by 0.9–2.8 percentage points, according to the Congressional Budget Office
(CBO 2011). The positive impact of the new law exceeded what most private
forecasters had been expecting for fiscal policy, leading them to increase
their estimates of 2011 growth. At the same time, the package is constructed
to be temporary (including one- and two-year provisions) so that its effect
on the long-term deficit is minimal.
Still, the need for medium- and long-term fiscal consolidation is
clear. For the medium term, President Obama has announced an ambitious goal of cutting the deficit in half by 2013. To help meet that target, the
Administration has proposed a number of new initiatives to help restore
fiscal discipline, including a five-year freeze on nonsecurity discretionary
spending, a two-year freeze on Federal wages, a slowdown in the growth
42 |

Chapter 2

of defense spending, and eliminating earmarks from the appropriations
process. These proposals build on a number of steps that the Administration
has already taken to reduce deficits in coming years, the most important of
which is enactment of the Patient Protection and Affordable Care Act of
2009. If the cost-control provisions of the law are followed over the next
several decades, they will have a profound effect on the budget. A second
critical step was the enactment of the Statutory Pay-As-You-Go Act, which
requires Congress to offset most spending increases with tax increases or
reduced spending elsewhere, an important move toward fiscal responsibility. In addition, economic growth will affect the long-run ratio of debt to
GDP. Steps to spur that growth are discussed in depth in Chapter 3.

State and Local Government
The operating deficit of state and local government has improved
during the recovery but remains precarious because of the severity of the
downturn. In addition, while funds from the Recovery Act helped to support
state and local revenues during 2009 and 2010, that support is scheduled to
diminish. The continuing distress is evident from the 414,000 jobs that the
sector lost between August 2008, the peak of state and local employment,
and December 2010. The state and local sector’s direct contribution to real
GDP growth was negative during the four quarters of 2009 and remained
so through the first quarter of 2010. Its GDP contribution was close to zero
during the final three quarters of 2010.
State and local tax revenues reached a low point in the second quarter
of 2009 but then grew 8 percent for the five quarters through the third
quarter of 2010, recovering $103 billion, or most of their nominal decline
during the preceding four quarters. Almost half of the recovery in tax receipts
($47 billion) came from corporate taxes, a source that usually provides only
about 4 percent of state and local tax revenues. Sales and property taxes, by
contrast, grew more slowly than the overall economy. Federal grants-in-aid
(mostly for Medicaid and education) generally increased during 2009 and
2010 because of the Recovery Act, which provided a cumulative $147.1
billion in such grants through 2010:Q3.
Current state and local government expenditures—which include
transfers to individuals as well as government consumption—have grown
slowly since the business-cycle trough in the second quarter of 2009, at a
3.0 percent annual rate through the third quarter of 2010, compared with
a 4.0 percent growth rate of nominal GDP. The combination of restrained
spending growth, a recovery in tax revenues, and increased Federal transfers
moved the current operating position of state and local governments from a
maximum deficit of $67 billion at an annual rate in the third quarter of 2008
to a surplus of $45 billion in the third quarter of 2010.
The Year in Review and the Years Ahead

| 43

Real investment by state and local governments (which is not part of
current expenditures) fell over the four quarters of 2009 and the first quarter
of 2010 but edged up in the second and third quarters of 2010. The gain in
investment spending likely reflects the recent increase in capital transfers for
transportation under the Recovery Act.
During 2011 and 2012, state and local governments will have to make
tough budget decisions. The sector is likely to show little spending growth as
Federal transfers diminish and past declines in house prices restrain growth
in the property tax base, which accounts for about a third of tax collections.
One point of relative strength in the near term, however, is state and local
construction spending (for example, on roads and bridges), as the longerlived portions of the Recovery Act investments are translated into public
infrastructure capital.

Real Exports and Imports
Real exports grew 9 percent during the four quarters of 2010, a
rebound following a 3 percent contraction in 2008 and no change in 2009.
The rebound coincides with a general recovery of non-U.S. GDP beginning
in mid-2009 (Figure 2-11). In addition to its sensitivity to the economic
strength of our trading partners, U.S. export performance also reflects movements in relative prices across countries. The broad index of the real value
of the dollar rose during the recession—compounding the effect of falling
world demand—but has generally fallen since March 2009, depreciating a
total of 3 percent during the 12 months of 2010.
Figure 2-11
U.S. Exports and World GDP
Index 2005:Q1=100
140
2010:Q4

U.S. real exports

135
130

2010:Q3

125
120
115
110

World GDP excluding the U.S.

105
100
95
90
2005

2006

2007

2008

2009

2010

Sources: Bureau of Economic Analysis, National Income and Product Accounts; country
sources; CEA calculations.

44 |

Chapter 2

2011

Shrinking exports subtracted from GDP growth in each quarter
between 2008:Q3 and 2009:Q2, but real exports have added to GDP in every
quarter since, including adding 1.1 percent to real GDP growth over the four
quarters of 2010. In the coming years, a combination of strong growth in
many key export markets should allow for continued growth in real exports
(see Chapter 4 for a detailed discussion of the recovery of U.S. exports).
Real imports grew 11 percent during the four quarters of 2010.
Although they grew faster than real exports, they had also fallen more
steeply than real exports during 2008 (6 percent) and 2009 (7 percent). The
pattern in real imports parallels, but is sharper than, the general shape of the
contraction and rebound in overall U.S. personal consumption spending.
Because imports tend to be concentrated more in goods than is overall
consumer spending, real imports move more closely with goods consumption—which is cyclically sensitive—than with consumption overall. And
because business equipment investment includes imported capital goods,
real imports track this cyclically sensitive series as well.

Labor Market Trends
The recession’s impact on the labor market was severe, and it will take
time before the labor market regains full strength. Figure 2-12 illustrates
the pattern of employment (excluding jobs associated with the decennial
Census) from its peak for each of the previous three recessions. The figure
Figure 2-12
Path of Non-Census Employment in the Past Three Recessions
Percent change in employment from peak
2
1
0
1990–91

-1
-2

2001

-3
-4
-5

2007–09

-6
-7
0

5

10

15
20
25
Months since employment peak

30

35

Sources: Bureau of Labor Statistics, Current Employment Statistics; CEA calculations.

The Year in Review and the Years Ahead

| 45

shows that the first several months of job losses associated with the 2007–09
recession (the dashed line) followed a pattern almost identical to those
of the two previous recessions, those of 1990–91 and 2001.3 Beginning in
summer 2008, however, job losses became more severe, resulting in a much
longer and deeper recession.4 By the time President Obama took office in
January 2009, the economy was shedding more than 700,000 jobs a month,
and employment reached its trough in February 2010. Between the peak of
employment in January 2008 and the trough, the economy lost 8.75 million
nonfarm jobs—almost as many as were lost in the past three recessions
(1981–82, 1990–91, and 2001) combined, adjusting for growth in the size
of the economy. Job losses as a share of the economy were the largest the
United States has experienced in 65 years.
Despite these historic employment losses, sustained albeit modest job
growth began relatively quickly after the recession officially ended. Figure
2-13 compares the path of non-Census employment following this recession
with those of the previous two recoveries, normalized to the level of employment at the official end date of each recession. As can be seen, job losses
Figure 2-13
Path of Non-Census Employment Since the End of the Recession
Percent change in employment from end of recession
0.4
0.2
0
1990–91

-0.2
-0.4

2001

-0.6
-0.8

2007–09

-1
-1.2
0

3

6

9

12

15

18

Months since end of recession
Sources: Bureau of Labor Statistics, Current Employment Statistics; CEA calculations.

3 Figures 2-12 and 2-13 show non-Census jobs. The Census hired and subsequently laid off more
than half a million temporary workers in 2010. These month-to-month changes affect headline
numbers but are less reflective of labor market fundamentals. Thus, we exclude Census jobs from
this employment series.
4 The official end date of the 2007–09 recession was June 2009, a full 18 months after the recession officially began. In contrast, both the 2001 and 1990–91 recessions officially lasted 8 months.

46 |

Chapter 2

continued after the end of each recession, with the most recent recovery
continuing to experience the deepest losses. However, in the recovery
from the 2007–09 recession (dashed line), non-Census job growth began 9
months into the recovery and continued in each month through December
2010 (the 18th month after the end of the recession). By comparison, the
1990–91 recovery (light blue line) was somewhat delayed, experiencing no
net job creation until 12 months into the recovery. In sharp contrast, the
2001 recovery (dark blue line) continued to lose jobs throughout the comparable time period, and sustained job growth did not begin until 22 months
after the official end date of the recession. Thus, while the 2007–09 recession
lasted longer and job losses were much deeper than in either the recession of
1990–91 or 2001, recovery in the labor market began sooner.
Beyond these trends, 2010 also saw improvements along other
margins of labor adjustment. Generally speaking, one would expect the
workweek and the use of temporary help to grow before total employment
begins to grow, because firms can lengthen the workweek and use temporary
help to increase labor input without having to bear the fixed costs, such as
benefits, associated with hiring a permanent worker. During the recession,
the workweek for production and nonsupervisory employees lost 0.8 hour.
However, it gained back nearly two-thirds of that loss in the next 13 months,
reaching 33.5 hours in July 2010, and maintained that level throughout
the second half of the year. This gain is important, because a 0.1 hour gain
for employed workers is roughly equivalent in terms of labor input to an
increase in employment of more than 300,000 jobs. Likewise, temporary
help services, which lost about 800,000 jobs during the recession, began to
grow toward the end of 2009 and saw strong gains in 2010. The industry has
now gained back more than half its losses.
Most important, private sector employment has grown in every
month since March of 2010, adding a total of 1.1 million jobs during 2010
and recording the strongest private sector job growth since 2006. Total
nonfarm employment fared nearly as well, adding more than 900,000 jobs
during 2010, though this job growth was tempered by a loss of 243,000 jobs
in local government.
However, it is clear that the economy still has a long way to go before
it fully recovers. Recessions resulting from a financial crisis tend to be deeper
than other types of recessions, and recovery from them is more difficult
(Reinhart and Reinhart 2010; Reinhart and Rogoff 2009). State and local
governments continue to face substantial budget shortfalls that have led to
cuts in public sector employment. The national unemployment rate, which
fell 0.7 percentage point from its peak to December, remains elevated, with
more than 6 million people in long-term unemployment (defined as having
The Year in Review and the Years Ahead

| 47

been jobless and searching for work for 27 weeks or more) as of December
2010.5 Further, although the number of job seekers per job opening had
fallen to 4.7 in December (from a high of more than 6), it remains unacceptably high.
Policy Responses to Support the Labor Market. The Administration’s
first major step in addressing the severe contraction of the labor market
was the Recovery Act, which kept the employment situation from getting
substantially worse. In fact, the CEA has previously estimated that in the
absence of the Recovery Act, non-Census employment growth would not
have begun until the third quarter of 2010 (or roughly 14 months from the
official end date of the recession; see Figure 2-13), which would have placed
the current recovery more in line with the slower employment responses of
the previous two recessions.
In addition, in March of 2010, President Obama signed the Hiring
Incentives to Restore Employment (HIRE) Act, which cuts payroll taxes for
employers hiring workers who have been unemployed for at least 60 days.
The law contains two key provisions. First, it exempted employers from
paying their share of Social Security taxes (6.2 percent of wages) on qualified workers hired from February 4, 2010 to December 31, 2010, and offset
these losses to the Social Security Trust Fund with general fund revenues;
this provision of the law ended in 2010. Second, for each hire that is retained
for at least one year, the law gives the employer a general business tax credit
equal to 6.2 percent of that employee’s yearly wages, up to a maximum of
$1,000. According to the Department of the Treasury, from February to
November of 2010, an estimated 11.8 million workers who had been unemployed for eight weeks or longer were hired, qualifying their employers for
the HIRE Act payroll tax exemption.
In August 2010, in response to the continuing job losses in state and
local government, the President signed the Education Jobs and Medicaid
Assistance Act, which provided $10 billion to states to prevent layoffs of
teachers. According to CEA estimates, this critical assistance supported
160,000 teacher jobs during the 2010–11 academic year.

5 The unemployment rate is a prominent, but incomplete, measure of labor market well-being.
If workers are encouraged or discouraged by labor market conditions, they may enter or exit
the labor force, moving the unemployment rate in the opposite direction of the economy’s
momentum. However, thus far in the recession and recovery, other measures of labor underutilization (for example, the employment-to-population ratio or measures including those working
part-time for economic reasons) have shown patterns similar to the unemployment rate.

48 |

Chapter 2

In addition, the Administration made several efforts over the past
year to help small businesses and promote entrepreneurship. The measures
included passing numerous tax cuts for small business, signing the Small
Business Jobs Act, and launching Startup America in early 2011. These policies are discussed in detail in Chapter 7.
All of these policy responses were designed to put jobless Americans
back in the workplace as quickly as possible, both for their own well-being
and also for that of the nation as a whole. The labor market growth seen
thus far is encouraging, especially compared with the recoveries following
the 1990–91 and 2001 recessions, but obviously is only a start. More robust
job creation is needed.

Prices
Price inflation as measured by the consumer price index excluding
food and energy (known as the core CPI) moved lower in 2010, dropping
to 0.8 percent from 1.8 percent during the two preceding years. The GDP
price index excluding food and energy edged up slightly to a still-low 1.1
percent. (The GDP price index is the broadest index of what is produced in
the United States including investment, exports, and government services in
addition to consumer goods and services.)
There have been higher rates of inflation at some early stages of
goods processing, but restrained growth of unit labor costs arising from a
combination of low capacity utilization, elevated unemployment, and strong
productivity growth have overwhelmed other influences as commodities are
processed and moved down the supply chain toward the final consumer.
Further, these commodity and materials prices make up only a small share
of overall goods prices. Labor costs now make up about 58 percent of costs
in the nonfarm business sector, and labor costs per unit of real output fell
in 2009 and 2010.
The Administration’s inflation forecast reflects three balancing forces:
persistent downward pressure on inflation from the high levels of economic
slack, a further expected pickup in economic growth, and fairly stable inflation expectations. The Administration’s projected rise in CPI inflation to 1.4
percent in 2011 moves in the direction expected by the consensus of professional forecasters.

The Year in Review and the Years Ahead

| 49

Financial Markets
From December 2009 through December 2010, stock market values
rose, and yields on Treasury notes fell, but the movements were volatile in
both cases. Long-term interest rates fell during these 12 months, also with
some notable fluctuations.
Stock market values—as measured by the Standard and Poor’s 500
Composite Index—rose 13 percent in 2010, following a 23 percent gain in
2009. Despite the back-to-back gains, the index at year’s end was still 20
percent below its October 9, 2007, peak. Corporate profits rose rapidly in
2009 and 2010, and the gains in the stock market have not kept up with the
gains in earnings. As a consequence, the price-to-earnings ratio for the S&P
500 had fallen by year’s end to about 17, slightly below the average of the 50
years through 2007.
Indicators of financial stress improved dramatically during 2009
and changed little during the 12 months of 2010. The spread between the
3-month interbank lending rates and 3-month Treasury bill rates was only
16 basis points (or 0.16 percentage point) by December, considerably below
its 2000–07 average of 45 basis points. Similarly the spread between AA- and
B-rated corporate bonds had fallen to only 3.6 percentage points, somewhat
below its 2000–2007 average of 4.1 percentage points. Also during 2010,
banks eased standards on commercial and industrial loans.
Yields on 10-year Treasury notes in December 2010 were 3.29 percent,
down from 3.59 percent in December 2009. Ten-year yields rose early in
the year but fell more than a full percentage point from April to October,
likely reflecting slow economic growth and a flight to quality triggered by
concerns abroad. Falling inflation expectations may also have been a factor
in the mid-year decline, as suggested by the premium paid for Treasury
Inflation-Protected Securities (TIPS). During the last two months of 2010,
long-term rates reversed part of their earlier decline. Despite the uptick at
year’s end, yields on 10-year Treasury notes were still at the low end of their
historical range. Real rates (that is, after subtracting inflation expectations)
were also low, as indicated by the TIPS market where rates around the 10year horizon were about 1 percent.
When the Administration’s economic forecast was finalized in midNovember 2010, the projected path for 91-day Treasury bills over the next
two years was calibrated from rates in the market for federal funds futures,
which suggested that rates would remain extremely low in 2011 and then
edge up slightly in 2012.

50 |

Chapter 2

Table 2-1
Administration Economic Forecast

Real
Nominal GDP
GDP
(chaintype)

GDP
Conprice
sumer
index
price
(chain- index
type) (CPI-U)

Nonfarm
payroll
Interest
Interest employUnrate,
rate,
ment
employ91-day
10-year (average
ment
Treasury Treasury monthly
rate
bills
notes
change,
(percent)
(percent) (percent) Q4-to-Q4,
thousands)

Percent change, Q4-to-Q4
2009 (actual)
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021

0.6
4.0
4.3
5.7
6.2
6.0
5.4
5.1
4.5
4.3
4.4
4.3
4.3

0.2
2.5
3.1
4.0
4.5
4.2
3.6
3.2
2.7
2.5
2.5
2.5
2.5

0.5
1.5
1.2
1.6
1.6
1.7
1.7
1.8
1.8
1.8
1.8
1.8
1.8

Level, calendar year
1.5
1.0
1.4
1.9
1.9
2.0
2.0
2.1
2.1
2.1
2.1
2.1
2.1

9.3
9.6
9.3
8.6
7.5
6.6
5.9
5.5
5.3
5.3
5.3
5.3
5.3

0.2
0.1
0.2
0.9
2.6
3.7
4.0
4.1
4.1
4.1
4.1
4.1
4.1

3.3
3.2
3.0
3.6
4.2
4.6
4.9
5.2
5.3
5.3
5.3
5.3
5.3

-44
76
146
194
275
277
224
182
138
113
99
97
93

Notes: Based on data available as of November 17, 2010. Interest rate on 91-day T-bills includes
secondary market discount basis. The figures do not reflect the upcoming BLS benchmark revision,
which is expected to reduce 2009 and 2010 job growth by a cumulative 366,000 jobs.
Sources: Department of Commerce (Bureau of Economic Analysis and Economics and Statistics
Administration); Department of Labor (Bureau of Labor Statistics); Department of the Treasury;
Office of Management and Budget; CEA calculations.

The Long-Term Outlook
Looking ahead, the Administration projects moderate GDP growth
of 3.1 percent in 2011, with growth then rising to an average rate of 4.1
percent during the next four years. Table 2-1 reports the Administration’s
forecast used in preparing the President’s fiscal year 2012 Budget. (The
long lead time for the budget process necessitates completing the forecast
by mid-November, which was before the year-end agreement on the Tax
Relief, Unemployment Insurance Reauthorization, and Job Creation Act
of 2010.) The Administration estimates that potential GDP growth—the
rate of growth of real GDP that could be sustained with the economy at full
employment and steady inflation—will be roughly 2.5 percent a year (Table
2-2, line 8). During 2011, projected GDP growth is slightly stronger than
potential growth, and the unemployment rate is projected to tick down.
Monthly payroll employment is expected to increase each year in 2011,
The Year in Review and the Years Ahead

| 51

2012, and 2013. In the Administration forecast, real GDP grows faster than
its potential rate through 2017, gradually closing the gap between the actual
and the potential level of GDP.
The growth rate of the economy over the long run is determined by
the growth rate of its supply-side components, which include population,
labor force participation, the ratio of nonfarm business employment to
household employment, the workweek, labor productivity, and the ratio of
real GDP to nonfarm business output. The Administration’s forecast for
the contribution of the growth rates of these supply-side factors to potential
real GDP growth is shown in Table 2-2. Together, the sum of all of these
components equals the growth rate of potential real GDP, which is projected
at 2.5 percent a year.
Table 2-2
Components of Potential Real GDP Growth, 1953–2021
Growth rate
1953:Q2 to
2007:Q4

Component

2010 to 2021

1 Civilian noninstitutional population aged 16+

1.4

1.0

2 Labor force participation rate

0.2

-0.3

3 Employment rate

0.0

0.0

4 Ratio of nonfarm business employment to
household employment
5 Average weekly hours (nonfarm business)

0.0

0.0

-0.3

-0.1

6 Output per hour (productivity, nonfarm business)

2.1

2.3

-0.2

-0.4

8 SUM: potential real GDP

3.2

2.5

9 Memo: actual real GDP

3.2

3.2

7 Ratio of real GDP to nonfarm business output

Note: All contributions are in percentage points at an annual rate. 1953:Q2 and 2007:Q4 are businesscycle peaks. Nonfarm business employment, workweek, and productivity come from the productivity
and cost database maintained by the Bureau of Labor Statistics.
Sources: Department of the Treasury; Office of Management and Budget; CEA calculations.

Conclusion
The U.S. economy today has substantial excess capacity and therefore
vast potential to grow without igniting an increase in inflation. The overall
trend of economic data toward the end of 2010 has been encouraging. The
Administration’s efforts to continue tax cuts for the middle class, extend
unemployment insurance, and provide incentives for business investment
strengthen prospects for continued recovery in 2011.

52 |

Chapter 2

C H A P T E R

3

THE FOUNDATIONS OF GROWTH

A

s the United States economy shifts from crisis to recovery and growth,
policy must also be rebalanced to emphasize the foundations of growth
that promise Americans a stronger and more prosperous future. Policy
must move beyond the short-run demands of the business cycle to support
the broader economic environment that ensures rapid, broad-based, and
sustained economic growth, bringing Americans greater income, higherquality jobs, and longer and healthier lives.
At the core of the Nation’s economic growth is our capacity to
innovate, educate, and build. Innovation, drawing on a long tradition of
American ingenuity, has made American workers and businesses world
leaders in productivity. With private sector investments in the lead, U.S.
marketplaces provide the test beds in which new ideas are proven and the
means by which successful ideas spread. At the same time, the creation and
diffusion of new ideas require essential public inputs in education, infrastructure, and the national innovation system, which all work together to
sustain and accelerate U.S. economic growth. This chapter considers the
foundations of that economic growth and the public policies that will ensure
America’s continuing economic success.

The Importance of Economic Growth
Rapid and sustained economic growth is a defining feature of U.S.
history. Figure 3-1 shows the rise of real U.S. income per person from the
Industrial Revolution in the early 19th century to the present. Adjusted for
inflation, income per person in 2007 was double its level in 1971. Income
per person in 1971 was double its level in 1940, and income per person in
1940—even after a decade of the Great Depression—was double its level in
1896. All told, average income per person in the United States today is 25
times what it was in 1820 (Maddison 2008). Income does not rise in every
53

year, and it can fall sharply, but over the longer run the upward trend clearly
dominates short-run cycles. The experience of the American economy in
the past two years has been especially difficult, but Figure 3-1 also makes
clear that, if America can capitalize on its long-run legacy of growth, then
the Nation can expect to grow beyond its current challenges and reach new
economic heights.
Figure 3-1
Progress in U.S. Real Income Per Person Since 1820
2010 dollars (log scale)
64,000
32,000
16,000
8,000
4,000
2,000
1,000
1820

1839

1858

1877

1896

1915

1934

1953

1972

1991

2010

Sources: Maddison (2008); Bureau of Economic Analysis, National Income and Product
Accounts.

Beyond the summary measure of income per person, the progress
in American standards of living can be seen in how we live our lives—and
how long those lives are. Life expectancy in the United States in the early to
mid-1800s was approximately 40 years. Fifteen percent of children did not
survive their first year of life, and over 30 percent did not reach their fifth
birthday in many American cities (Haines 2001). Today, life expectancy
is 78, and infant mortality has fallen by a factor of 20. In the early 1800s,
primary school was the height of most Americans’ educational attainment.
Telegraphs and telephones had not been invented, let alone e-mail and wireless communications. There were no automobiles, no airplanes. There were
no washing machines, dishwashers, air conditioners, or electric refrigerators. Indeed, there was no electrification—no light bulbs, radios, televisions,
computers, or Internet—and none of the associated services that Americans
now enjoy.

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Overall, the economic growth imperative is clear. The improvements in income, health, and the variety and quality of products Americans
consume all demonstrate the remarkable increase in prosperity the United
States has enjoyed throughout its history. If the United States continues the
same, sustained growth rate it has averaged since 1870, Americans can look
forward to real incomes that are twice as high per person by 2046 and five
and a half times higher in 2100, with new opportunities, higher-paying jobs,
better educations, and healthier, longer lives.

Sources of Economic Growth
Any assessment of the appropriate role of growth policy starts with
an analysis of how economic growth works, that is, how economies increase
their output per person. Most directly, economists analyze the sources of
growth by asking how the “inputs” workers use increase their output per
unit of time. Economics offers three key ingredients for growth.
First, physical capital inputs, such as machines, tools, and infrastructure, make workers more productive. For example, investments in
telecommunications equipment allow information to be exchanged rapidly,
making wide arrays of workers, from emergency personnel to business
managers, more productive. One source of growth, then, is this “physical
capital deepening,” investments that increase the amount of physical capital
per worker.
Second, skill formation makes workers more productive. Investments
in skill formation, or “human capital,” include general education but also
education specific to certain occupations, such as engineering, medicine,
and law, as well as training to use certain types of machines and tools. For
example, investment in training telecommunications engineers pays off in
improved communication services. Thus, another source of growth is this
deepening of human capital investments that raise the skills of workers.
Third, growth in advanced economies like the United States ultimately
depends on technological progress, interpreted broadly to mean the creation
and diffusion of new ideas. To continue the communications example,
the advent of the telephone transformed people’s ability to communicate,
but once fixed-line telephones had spread across America, increasing the
number of telephones per person had no such transformational power.
Further progress awaited the invention of better communications technologies—the fax machine, the mobile telephone, the Internet—which
have spurred additional investment in capital and further increased worker
productivity. Technological progress drives capital deepening and creates
new avenues to increased prosperity.

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The foundational role of underlying technological progress can be
inferred by considering the advance of major sectors of the U.S. economy.
For example, advances in transportation were made possible by the invention and diffusion of numerous technologies, including engines, trains,
automobiles, and airplanes. People and goods can now cross the country
in six hours instead of months. This improvement was achieved through the
invention of ever more advanced technologies. Box 3-1 considers an additional example—the advance of human health—at greater length.
Unfortunately, there are cracks in the foundations of America’s
growth that need to be addressed. The Nation’s innovation system relies
largely on the private sector but also depends on critical public inputs. For
example, basic scientific breakthroughs in engineering, genetics, chemistry,
and many other fields underpin commercial innovation but provide little
or no direct profit themselves, so basic scientific research relies heavily on
public support. Yet publicly funded research and development fell steadily
from the early 1960s until recently.
Box 3-1: Technological Progress and the Advance of Health
Improvements in health have been possible through numerous
medical advances. Polio, smallpox, diphtheria, and other debilitating
or deadly viruses have been checked by vaccines. Bacterial infections,
following the discovery of penicillin in 1928, are now treated by a wide
range of antibiotics. Advances in controlling infection, bleeding, and
pain made modern surgery possible, allowing surgeons to save and
improve lives. Meanwhile, advances in the understanding of anatomy,
molecular and cell biology, genetics, chemical synthesis, nuclear physics,
and other areas have produced cascades of innovations for the diagnosis
and treatment of disease. From laser eye surgery to X-ray, MRI, and
ultrasound imaging technologies, to effective chemotherapies for particular cancers and pharmaceuticals that manage blood pressure, insulin
levels, asthma, and many other chronic conditions, human health technologies have taken enormous leaps.
Health improvements raise workers’ productivity, and increasing
longevity can both extend working lives and encourage higher education. These mechanisms work to enhance economic growth. But
much of the benefit of improved health—whether the decline in infant
mortality or the direct enjoyment of longer lives—cannot be measured
simply by tracking income per person. Thus, the benefits brought by
these technological advances stand largely in addition to the 25-fold
increase in U.S. per capita income since 1820.

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Meanwhile, U.S. investments in infrastructure no longer lead the
world, either in traditional physical infrastructure or in new information
networks. American households rank only 14th among advanced countries
in the adoption of high-speed Internet, for example, and average advertised
download speeds in the United States rank 24th. Failure to provide American
workers and businesses with efficient, modern infrastructure raises costs and
disrupts the marketplace, making it increasingly difficult for the American
economy to provide world-leading productivity and innovation.
In skill formation, the United States once led the world in the proportion of college graduates. It now ranks ninth in this measure among adults
aged 25 to 34. Meanwhile, the quality of the Nation’s primary and secondary
education substantially lags other countries, especially in science and mathematics. These educational challenges are among the factors associated with
stagnating wages among less-educated workers and with widening wage
inequality, and they are further associated with unequal access to important
goods and services, including health care. Furthermore, these challenges
present obstacles to American workers and businesses seeking the highproductivity, high-wage jobs in the 21st-century global economy.
Making America more competitive and growing the economy is a
preeminent goal of the Obama Administration. The rest of this chapter
identifies the path forward, focusing on critical public policies and investments—in the Nation’s innovation system and infrastructure and in the
skills of individual Americans—that support rapid, broad-based, and
sustained increases in America’s prosperity.

Innovation and Economic Growth
Innovation, the introduction of new or improved goods, services, or
practices into the economy, depends critically on private sector interest.
Businesses, operating in a competitive market system, have numerous
advantages in the creation and implementation of useful new ideas (Box
3-2). At the same time, the social rewards to innovation often exceed the
private rewards to the original innovator, so the private sector may fall short
in providing innovations and economic growth (Box 3-3). The Obama
Administration is working to shore up the foundations of our national
innovation system through critical public investments that will accelerate
our future prosperity.

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Box 3-2: The Power of Market-Based Innovation
Good ideas come from many quarters and from surprising directions, so their nature and source are fundamentally hard to foresee.
The market system draws on American ingenuity from the ground up,
relying on those individuals with close proximity to particular goods,
services, or practices to develop the next-generation idea. Innovation
can come from established firms, which developed the transistor, laser,
and smartphone, for example, and from entrepreneurs, who led the
creation of airplanes, personal computers, and Internet search engines.
Markets provide the crucible in which innovations are tested, then
improved or discarded. Ultimately, it is buyers—consumers and other
firms—who decide whether a new or improved good or service is worth
paying for. The market system, with its price signals about costs and
consumer demand, helps businesses direct their innovative efforts to
high-value areas.
Once an idea is successfully demonstrated in the market, the
market system invites other innovators to build on these ideas. For
example, the laser turned out to have applications—in surgical devices
and manufacturing tools, in computer printers, barcode scanners, and
DVD players—far beyond those its early creators imagined. Early and
uncertain visions of a large market for personal computers were realized
only through a torrent of marketplace innovations across a vast array of
established and entrepreneurial firms.
The market system also works to spread the best ideas, because
competitive pressures favor the expansion of those firms with the most
efficient methods and most desirable products. Flexible capital and labor
markets pivot scarce resources toward the best ideas, constantly reinventing the American economy.

Basic Research
Basic scientific research typically has little direct commercial return,
so its costs are not easily borne by firms. Yet downstream, commercial innovation is dependent on achievements in basic science. The biotechnology
industry builds on Watson and Crick’s discovery of the structure of DNA.
The Web-based innovations and storefronts of the new economy build on
government and university development of the Internet. Americans draw
on achievements in basic science throughout their daily lives—in driving
a car, using an electronic device, taking modern medications, talking on a
telephone, or finding information online.

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Box 3-3: The Social Gains from Innovation
The social gains from innovation typically extend well beyond
the profits earned by the innovative enterprise. Telephones, light bulbs,
subway trains, dishwashers, antibiotics, lasers, computers, Web browsers,
and smartphones, for example, all offer large and ongoing social gains
for Americans that far outstrip any commercial return to the original
innovators. There are several reasons for this tendency. First, users will
pay for an innovation only if its benefits exceed its price. These benefits
in excess of the price—the “consumer surplus”—mean that much of the
innovation’s immediate value will accrue to the users rather than to the
innovator. Second, the innovating business will face pressures to lower
prices as other businesses imitate the successful innovation, especially
once any intellectual property rights expire, transferring the innovation’s value more fully to the user. Finally, a successful innovation often
launches additional innovations, the benefits of which are not captured
by the original innovator and additionally spill over to users.
Given that these users are workers or consumers, the social gains
from innovation largely accrue through rising labor compensation,
new workforce opportunities, and the higher quality and increasing
variety of Americans’ consumption. On average, the private firm may
capture only a small percentage of the social gain from innovation.
Thus, all Americans have an important stake in the innovation system.
At the same time, because technological advances can be biased toward
educated workers, investments in human capital become critical to
ensure that the gains from workplace innovations remain widely shared,
as discussed at the end of this chapter.

Given the importance of basic research, coupled with its low private
return, the American innovation system relies on public support of university
and government researchers who work to develop scientific breakthroughs
and make these breakthroughs publicly available. This open science model
for basic research expands collective knowledge and allows anyone with a
good idea to tap these advances. Whether discovering fundamental properties of nature, developing understandings of disease that open new pathways
for treatment, or creating the breakthroughs in nanotechnology that may
revolutionize modern manufacturing, basic science will continue to create
new foundations for future progress.
In 2009, the Obama Administration put in place the largest funding
increase in basic science in U.S. history with an $18.3 billion contribution

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from the American Recovery and Reinvestment Act. More broadly, the
Administration is committed to doubling the long-term funding for three
key basic science agencies, the National Science Foundation, the Department
of Energy’s Office of Science, and the National Institute of Standards
and Technology laboratories. With these commitments and others, the
Administration is working towards those frontiers that promise new industries and new growth. In clean energy and electric vehicles, nanotechnology,
advanced manufacturing, biotechnology, wireless communications, and
other promising fields, the Administration is deploying resources to create
fundamental breakthroughs at the beginning of the innovation pipeline.
These priority areas are discussed further below.

Intellectual Property Rights
Effective protection of intellectual property rights, including patents
and copyrights, is an essential role of government in encouraging innovation. Innovation typically requires substantial investments in the labor and
materials necessary to create, develop, and test a new idea and then see it
through to the marketplace. If others can steal the idea once it is proven,
undermining the ability of the creator to recoup the costs of the innovative
investment, then the incentive to innovate is reduced. Intellectual property
rights address this problem by giving the innovator a limited-duration right
to exclude others’ use, thus helping to ensure that the private sector has the
incentives to make innovative investments. In President Lincoln’s words, the
patent system adds “the fuel of interest to the fire of genius.”
Intellectual property rights are particularly important to industries
that make substantial investments in research and development (R&D), and
R&D-intensive industries are leaders in driving U.S. growth and competitiveness. For example, among U.S. industries that produce internationally
tradable goods and services, industries with above-average R&D levels
generated more than twice the output and sales per employee, accounted for
about 60 percent of exports, and accounted for five of the six U.S. industries
that generated a trade surplus during the 2000–2007 period (Pham 2010).
Recognizing the importance of intellectual property, the Obama
Administration is determined to improve the function of the patent system.
The United States Patent and Trademark Office (USPTO) currently faces a
backlog of 719,000 patent applications, and the average delay between patent
application and patent grant has risen to 35 months. These delays are untenable for businesses, especially entrepreneurial businesses, which often rely on
licensing their patents to generate revenue. The Obama Administration has
begun to implement a five-year plan to improve the quality and timeliness
of patent issuance. This strategic plan includes steps to redesign the agency’s
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information technology infrastructure, reform the reward system for patent
examiners, and hire 1,000 additional examiners, while a new pilot program
is also opening the USPTO’s first branch office. The Administration is also
seeking legislative authority to give the USPTO greater capacity to meet its
ever-increasing workload and improve patent quality. Legislative priorities
include letting the USPTO set and keep its patent fees, so that it can expand
its operations to meet its workload, and allowing “post-grant review,” which
can help limit errors in patent issuance and thus reduce costly litigation and
market uncertainty.
The Administration is also working aggressively to protect against
copyright and patent infringement. The Nation’s first Intellectual Property
Enforcement Coordinator, working within the Executive Office of the
President, has released a Joint Strategic Plan to coordinate U.S. government
actions to combat unauthorized use of intellectual property, both domestically and internationally, and is facilitating voluntary cooperative efforts by
the private sector to reduce infringement. The Department of Justice and
the Department of Homeland Security have increased law enforcement
activity, including shutting down Web sites trafficking in infringing content,
prosecuting theft of innovative trade secrets, and coordinating global law
enforcement sweeps against counterfeit drugs. In addition, the United States
Trade Representative has negotiated the first international enforcement
agreement, the Anti-Counterfeiting Trade Agreement, to limit global trade
in counterfeited goods and pirated copyrighted works.

Antitrust and the Innovative Marketplace
The U.S. antitrust agencies evaluate the extent to which a merger
between existing competitors can reduce the degree of competition in a
market. In situations where firms actively innovate to improve their position vis-à-vis their competitors, the agencies must consider whether those
innovations would still be pursued should the merger go forward. Given the
importance of innovation to economic growth, sound merger enforcement
policy aims to promote innovation by approving mergers that are likely to
create efficiencies and potentially spur innovation, while preventing mergers
that may inhibit innovation through a reduction in competition.
In August 2010, the Antitrust Division of the Department of Justice and
the Federal Trade Commission issued new Horizontal Merger Guidelines,
which describe the merger enforcement policies of the two agencies. The
new guidelines include, for the first time, a section explaining how the agencies assess whether a merger is likely to inhibit innovation by, for example,
reducing a firm’s incentive to continue a product development effort or
initiate new product development.
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The Research and Experimentation Tax Credit
Even with well-functioning intellectual property rights and markets,
and with public support for basic scientific research, commercial innovation incentives still tend to fall short of the social benefits. The Research and
Experimentation (R&E) tax credit is therefore an important tool to enhance
private sector innovation incentives and accelerate economic growth. In
2007, the R&E tax credit supported 12,548 corporations and 56,000 individual taxpayers with $8.8 billion in credits. Recent studies find that research
tax credits translate dollar-for-dollar into increases in current research
spending, especially over the longer run as businesses develop their research
enterprises (Hall and Van Reenen 2000; Bloom, Griffith, and Van Reenen
2002). Unfortunately, because the R&E credit is temporary and must be
renewed periodically, uncertainty about the credit’s availability reduces its
incentive effect, especially in planning projects that will not be initiated and
completed before the credit’s expiration.
The Obama Administration has proposed to expand, simplify, and
permanently extend the R&E tax credit. The proposal will expand the credit
by approximately 20 percent, making a commitment of $100 billion over the
next 10 years, which represents the largest commitment in the tax credit’s
history. The Administration also proposes to make the credit easier to use,
providing a simple 17 percent credit rate to businesses, and to make the
credit permanent, ensuring that businesses can count on the credit as they
plan research investments that span multiple years.

Entrepreneurship
The United States has long recognized the role of entrepreneurship in
tapping American ingenuity to develop new products and solve problems.
Small firms typically produce more patents per dollar of R&D than do large
firms. New businesses are also engines of job growth, with small firm births
creating 40 million U.S. jobs between 1992 and 2005. Yet entrepreneurs face
special challenges. Raising funds is difficult for firms that are new and have
little collateral or no established reputation, even if they have a great idea.
Moreover, disclosing ideas in pursuit of funding can risk losing the idea to
established firms. Should a startup be capable of financing the initial innovative investment, long administrative delays in patent issuance typically delay
licensing opportunities and may cause the startup to fail.
Government support for entrepreneurship can help ensure that good
ideas from all sources enter markets, thereby boosting economic growth. For
example, the Small Business Innovation Research (SBIR) program, which is
managed by the Small Business Administration and supported by 11 federal

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agencies, assists small entrepreneurial businesses to compete for federal
research and development awards. A recent report shows that during the
10-year period ending in 2006, businesses participating in the SBIR program
frequently accounted for more than 20 of R&D Magazine’s top 100 hightechnology products of the year. The Administration’s new Startup America
initiative will facilitate entrepreneurship across the country, investing $2
billion in capital for entrepreneurs, improving the regulatory environment
for young businesses, and increasing connections between entrepreneurs
and high-quality business mentors. Meanwhile, on a different dimension, the Affordable Care Act will remove obstacles to entrepreneurship
by enabling Americans to start and join new businesses without giving up
access to health coverage, both by allowing workers with preexisting conditions to maintain their health insurance and by allowing Americans under
age 26 to remain on their parents’ insurance. Chapter 7 considers small business challenges and Administration policies in greater detail.

National Priority Areas
For national priorities where innovation is critical but market failures impede progress, government can help spur technological advances.
Priority areas include developing clean energy sources, using information
technology to improve health care and reduce costs, and nurturing the
bio- and nanotechnology revolutions. The Administration is harnessing
mechanisms, from basic research to government procurement, to help spark
American ingenuity in these areas, driving economic growth and building
the future industries that can provide American workers with quality jobs in
the future global economy.
In clean energy, the Department of Energy’s Advanced Research
Projects Agency-Energy (ARPA-E) has awarded nearly $400 million to more
than 120 research projects that seek fundamental breakthroughs in energy
technologies. The Administration’s fiscal year 2012 Budget will more than
double total funding to date for ARPA-E. It will also double, from three to
six, the number of Energy Innovation Hubs, bringing innovative thinkers
from different disciplines together to create research breakthroughs on
tough problems. One new Energy Innovation Hub will focus on improving
batteries and energy storage, with applications to advanced vehicles. Overall,
the FY 2012 Budget will significantly expand R&D investments in critical
electric vehicle components while transforming the existing $7,500 tax credit
for electric vehicles into a rebate available to all consumers at the point of
sale. Building on existing initiatives like the Advanced Technology Vehicles
Manufacturing loan program, which has invested over $2.4 billion to
support three electric car factories in California, Delaware, and Tennessee,
these initiatives are working to meet the President’s goal of putting 1 million
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advanced vehicles on the road by 2015. Meanwhile, Department of Energy
tax credits have leveraged gigawatts of private sector investments in wind,
solar, and geothermal technologies, and the U.S. Navy is driving demand
for new fuels by committing to convert half of the fuel used for powering its
planes, ships, and vehicles to alternative fuels by 2020.
In health care, advances in information technology can help prevent
medical errors; improve delivery of care for patients, doctors, and nurses;
lower costs; and create data platforms to encourage further innovation.
The Administration is making investments to accelerate the adoption of
electronic health records, develop standards for secure exchange of health
information over the Internet, and promote mobile and Web-based health
technologies. The Strategic Health IT Advance Research Projects (SHARP)
program is funding potentially game-changing advances to overcome obstacles to the adoption of health information technology.
The Administration has been making critical investments in biotechnology, nanotechnology, and advanced manufacturing. Through the
Recovery Act, the Administration has invested in sequencing 1,800 complete
human genomes, more than a 50-fold increase over the 34 genomes
sequenced before Recovery Act funding, creating new capacity for understanding many diseases while also driving down DNA sequencing costs. The
National Nanotechnology Initiative is developing a strategic plan to coordinate federal investments in nanotechnology fields, including investments to
promote health, energy, materials, electronics and other applications. The
FY 2012 Budget also increases investments at key science agencies to catalyze breakthroughs for advanced manufacturing applications and provides
funding to initiate the Advanced Manufacturing Technology Consortia
Program, a public-private partnership that will help spur innovation in
manufacturing systems and shorten the time needed for innovations to
reach the market.

Infrastructure and Economic Growth
Public investments in infrastructure reduce production and trade
costs, enhance capital and labor mobility, and provide platforms to stimulate
innovation. During the 1900s, America’s infrastructure investments focused
on the Nation’s transportation systems and public utilities, including electrification, which provided a platform for the birth of major new industries
and better opportunities for the American workforce. Today, as demand
continues to grow and existing infrastructure decays, significant and
renewed investment in our transportation and electricity systems is required.

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The 21st century also calls for critical investments in the information
and communication technology (ICT) infrastructure, including broadband
Internet and wireless spectrum investments, that increasingly underpins
the economy and provides abundant opportunities for further innovation
and growth. Telecommunications investments have historically predicted
substantial growth among advanced countries, and rapid adoption of ICT
was associated with faster U.S. growth during the early Internet years. Of
the world’s 250 largest ICT companies today, 75 have their home in the
United States; these 75 companies generated total revenues of more than
$1 trillion in 2009. Additionally, ICT accounts for about 50 percent of U.S.
venture capital spending, a key element in transforming innovative ideas
into commercial applications (OECD 2010). Annual private investment
in information processing equipment and software in the United States
doubled between 1995 and 2009, growing 2.5 times faster than other U.S.
private fixed investment.

Roads, Railways, and Runways
The United States has a rich history of government investment in
transportation infrastructure leading to long-term economic benefits. The
interstate highway system represents one example. Research has shown
that well-designed infrastructure investments can raise economic growth,
productivity, and land values, while also providing significant positive
spillovers to economic development, energy efficiency, public health, and
manufacturing.
In September 2010, President Obama announced a plan to renew and
expand America’s transportation infrastructure and increase government
efficiency in making infrastructure investments. The plan includes a $50
billion investment to renew 150,000 miles of depreciating roads, construct
and maintain 4,000 miles of passenger rail, and rehabilitate 150 miles of
runways. Overall, the FY 2012 Budget seeks a six-year surface transportation reauthorization package totaling $556 billion, more than a 60 percent
increase above the previous six-year package. The Administration is also
seeking to modernize the transportation infrastructure to help people
and goods move efficiently and keep American markets competitive. For
example, the FY 2012 Budget provides $53 billion over the next six years
for passenger rail, including the development of a high-speed rail system
that will be accessible by 80 percent of Americans within 25 years, and $1.24
billion for the Next Generation Air Transportation System, a multiyear
effort to improve efficiency, safety, and capacity of the Nation’s aviation
infrastructure.

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The President’s infrastructure plan also calls for the creation of a
National Infrastructure Bank to leverage private capital and select projects
of greatest national significance. The infrastructure bank, to be funded at
$30 billion over six years, would depart from the Nation’s traditional infrastructure decisionmaking process and instead weigh projects of national and
regional significance against each other and fund those judged to have the
greatest return to American taxpayers.

Electricity Infrastructure
Successful electrification across the United States in the early 1900s
provided a general purpose technology upon which many further innovations would build, from lighting and household appliances to radio and
television to computers and information technology. With rising carbon
pollution and growing worldwide demand for scarce energy resources, the
U.S. electricity infrastructure now faces new challenges. The Administration
is currently taking numerous steps to modernize the Nation’s electric grid
and provide cleaner, more efficient, and more secure energy sources, largely
through Smart Grid projects and transmission infrastructure financing.
The National Institute of Standards and Technology is coordinating
Smart Grid standards, and the Recovery Act provided $4.1 billion for related
Smart Grid investments. By providing a two-way flow of information, a
Smart Grid promises to enable homes and businesses to manage electricity
consumption based on need and price, thus reducing their utility bills. For
example, energy usage and billing data can be provided nearly in real time
to the consumer through smart meters or other technologies. Such data
services can enable smart thermostats and smart home appliances to adjust
their energy cycles based on price signals. Smart Grid technologies also
include those that enable the broader electricity transmission infrastructure
to operate more reliably and effectively, preventing brown-outs and other
disruptions that can undermine the efficiency of the electric grid. Overall,
Smart Grid technologies promise to lower consumer costs, increase the
reliability of the electric grid, and facilitate the adoption of other innovative
technologies, such as renewable energy resources and electric vehicles.
Smart Grid investments alone are not expected to alleviate fully the
need for increased high-voltage transmission capacity. The Recovery Act
also increased the borrowing authority of the power marketing agencies
within the Department of Energy by $6.5 billion to finance new transmission investments that can accommodate increased generation to meet future
energy demand, enhance grid reliability, and integrate location-constrained
renewable energy resources. Taken together, investments in Smart Grid and
electricity distribution and transmission will help modernize the Nation’s
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electric grid, making electricity delivery to U.S. citizens more efficient,
secure, and reliable.

Information Networks
In less than a decade, broadband (or high-speed) Internet access
has transformed the American economy. The explosion in business-tobusiness (Figure 3-2), business-to-consumer, and government-to-consumer
“e-commerce” has dramatically reduced transactions costs by reducing
geographic and time constraints. Households can comparison shop, register
their cars, and pay their bills online, saving time and money. Many workers
can save hours of commuting time through telecommuting. More generally,
broadband has expanded the ability to communicate ideas and information, a key to faster problem solving and innovation. The great potential for
high-speed, low-cost information networks to trigger continued economic
growth lies in their role as a general purpose technology that businesses and
households can use in creative ways—some not yet imagined—to further
transform their productive capacities.
Figure 3-2
E-Commerce Share of Business-to-Business Manufacturing Shipments
Percent
45
40
35
30
25
20
15
10
1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

Sources: Census Bureau, Annual Survey of Manufacturers and the Economic Census.

In 2000, about 3 percent of Americans aged 18 and older had broadband at home. By 2010, the share had grown to about 66 percent.1 Despite
this tremendous progress, evidence suggests that the United States trails
behind a substantial number of other advanced countries in broadband
1 Smith 2010. Similar adoption rates are found in other studies; see Department of Commerce 2010.

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adoption. One international comparison of broadband subscriptions per 100
inhabitants shows the United States ranking 14th (Figure 3-3) (OECD 2010).
Figure 3-3
Broadband Adoption across OECD Countries
Subscriptions per 100 inhabitants
40
DSL

35

Cable

Fibre/LAN

30

Other

OECD average

OECD average

25
20
15
10
5

Netherlands
Denmark
Switzerland
Korea
Norway
Luxembourg
Iceland
France
Sweden
Germany
United Kingdom
Canada
Belgium
United States
Finland
Japan
New Zealand
Australia
Austria
Spain
Italy
Ireland
Portugal
Greece
Hungary
Czech Republic
Poland
Slovak Republic
Chile
Mexico
Turkey

0

Source: OECD Information Technology Outlook (2010).

Jobs increasingly require Internet skills, but while 97 percent of
schools are connected to the Internet, more than 50 percent of teachers
say slow or unreliable Internet access presents obstacles to their use of
technology in the classroom (FCC 2010). Additionally, broadband adoption is relatively low among certain groups of Americans, including poor
households, African American and Hispanic households, and rural households (Department of Commerce 2010). As broadband becomes essential
to learning, working, and improving productivity, these gaps in broadband
adoption create a “digital divide” in the opportunities available to different
groups of Americans.
To expand broadband Internet availability and strengthen this critical
platform for the Nation’s economic growth, the Administration has awarded
$6.9 billion through the Recovery Act. These funds in part support the
National Telecommunications and Information Administration’s Broadband
Technology Opportunities Program, which is deploying “middle-mile”
infrastructure in areas with nearly 40 million households and 4 million businesses, bringing broadband to approximately 24,000 institutions, including
schools, libraries, health care facilities, and public safety entities. These funds
also support the Rural Utilities Service’s Broadband Initiatives Program,

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which is bringing broadband access to approximately 2.8 million households, 364,000 businesses, and 32,000 community anchor institutions like
hospitals and schools in rural America.
Spectrum policy is another critical component in managing the Nation’s
information infrastructure. More and more Americans are connecting wirelessly to broadband Internet services using computers, smartphones, and
e-book readers, and increasing numbers of smart machines, such as smart
parking meters and remote patient health monitoring systems, rely on wireless infrastructure. Smartphone penetration among Americans increased
almost threefold between 2006 and 2009 by one measure, a trend that has
multiplied wireless data traffic. The rapid expansion of wireless technologies
may contribute substantially to future American productivity and economic
growth, but additional gains will require allocating more electromagnetic
spectrum for commercial and government use.
On behalf of the American people, the Federal Government manages
the rights to electromagnetic spectrum, a scarce national resource. Today,
the United States has provided just over 500 megahertz of spectrum for
mobile communication. Experts believe that the United States will require
hundreds of megahertz more of spectrum in coming years, yet only 50
megahertz are in the pipeline for commercial use. The Administration has
committed to developing 500 megahertz of additional wireless spectrum and
ensuring that spectrum is allocated to its highest-value uses.
Freeing additional spectrum to avoid “spectrum crunch” is essential
to nurturing the next generation of high-speed wireless services and further
innovations that businesses and entrepreneurs are beginning to deploy.
However, more spectrum alone will not guarantee secure and interoperable
systems that can support critical applications, such as public safety, or the
extension of these essential wireless platforms to Americans living in remote
rural areas. The Administration has budgeted over $18 billion to catalyze
deployment of a nationwide, interoperable public safety wireless network,
to invest in research solutions to overcome wireless technology obstacles,
and to help businesses extend the next generation of wireless services to 98
percent of all Americans, including those in remote rural areas.

Skills and Economic Growth
Ensuring that future economic growth is rapid, sustained, and broadly
based requires investments in Americans’ skills. Education is the pathway
to higher-income jobs and the growing industries of the 21st century.
Education is also needed to train the next generation of researchers and
innovators, who will drive future technological progress. For both reasons,

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Americans’ skills are critical to future economic prosperity. The Obama
Administration is working to ensure that our educational system is internationally competitive, comprehensive, and innovative in preparing our
workforce for an increasingly knowledge-intensive economy.
The rapid technological changes of the 20th century not only enhanced
productivity and created new industries but also increased demand for
skilled labor (Goldin and Katz 2007). Higher education is the key to many
modern occupations, and over the years Americans have correspondingly
raised their educational attainment, with average years of schooling at age 30
rising 6.2 years between 1900 and 2000. But American gains in educational
attainment are slowing. Average schooling duration in the final quarter
of the 20th century increased at only about one-third of its previous pace.
Compared with other countries, American educational attainment also
appears to be falling behind.
While growth in educational attainment has slowed, the demand for
skilled workers continues to increase. According to the Bureau of Labor
Statistics, 14 of the 30 fastest-growing occupations in the United States
require at least a bachelor’s degree, with 7 others requiring either an associate’s degree or a postsecondary vocational certificate or award. Moreover,
over the past 30 years, the return to a college education has also risen, further
suggesting that increasing demand for high-skilled workers is outstripping
their supply. Figure 3-4 shows wage and salary income by degree attainment
from 1963 to 2009. In 2009, workers with a bachelor’s degree or more earned
more than twice as much as those with only a high school diploma, while those
with some college or an associate’s degree earned 25 percent more. These
wage premiums have risen 72 percentage points and 10 percentage points,
respectively, since 1963. Although not shown in the figure, the returns to
postgraduate education have risen even more steeply. In the mid-1960s, those
with postgraduate degrees earned about 50 percent more than high school
graduates; by 2009, this wage premium had more than tripled to 159 percent.
While earnings of workers who have attended college have risen, the
annual income of those with only a high school degree or less has fallen since
the 1970s, even before the declines during the recent recession. High school
dropouts have fared the worst among all workers, with earnings falling 12
percent, in real terms, since 1963. These workers currently earn 30 percent
less than high school graduates. This trend mirrors a broader pattern of
rising wage and income inequality in the United States, with gains from
economic growth concentrated in some segments of the population. In the
past 20 years, real income for the top 20 percent of all households has grown
by 20 percent, while incomes for households in the bottom half of the distribution have been essentially flat. By contrast, in other periods of economic
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growth, such as that from World War II to the mid-1970s, advances in
labor income were spread roughly evenly throughout the wage distribution
(Goldin and Katz 2007). A leading hypothesis about the causes of rising
income inequality over the past 30 years points to technological advances
that have increased the demand for high-skilled workers, while the supply
of these workers has not accelerated to meet the demand (Katz and Murphy
1992). Institutional factors, such as declines in unionization and the real
minimum wage, may also have played a role in increased wage inequality
(DiNardo, Fortin, and Lemieux 1996).
Figure 3-4
Average Wage and Salary Income by Educational Group
Total wage and salary income (2009 dollars)
80,000
70,000

Bachelor's degree or higher

60,000
50,000

Associate's degree or some college

40,000
High school graduates
30,000
Less than high school
20,000
1963

1973

1983

1993

2003

Notes: Calculations are for full-time workers aged 25–65 who worked 50–52 weeks in the
calendar year. Before 1991, education groups are defined based on the highest grade of school
or year of college completed. Beginning in 1991, groups are defined based on the highest
degree or diploma earned. Incomes are deflated using the CPI-U.
Source: Bureau of Labor Statistics, March Current Population Survey, 1964–2010.

Further, the overall data on educational attainment mask large disparities by race and socioeconomic status. Whereas 49 percent of non-Hispanic
whites aged 25 to 34 hold a postsecondary degree, only 29 percent of African
Americans and 19 percent of Hispanics do. In addition, children from highincome households are almost four times as likely to obtain a postsecondary
degree by age 24 as those from low-income families.
Finally, achievement lags in science, technology, engineering, and
mathematics (STEM) fields, all areas that show high wage returns to
training and underpin future innovation. Recent test results in primary
and secondary education suggest that American schoolchildren are lagging
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behind in math and science. The 2009 Programme for International Student
Assessment survey, for example, showed that American students placed 17th
of 34 developed countries in science and 25th in math.2
President Obama recognizes that education is not only a driver of
growth but also the surest way for individuals to share in the gains from
growth. The challenge in developing a world-leading workforce involves
both increasing educational attainment and enhancing the quality of education in this country. That is why the President has established a goal for the
United States to resume world leadership in college degree attainment by
2020. To reach this goal, the Nation must raise its college completion rate
from 40 percent to 60 percent. That requires 8 million additional young
people to graduate from America’s colleges and universities over the next
10 years.
The Administration has put forward a two-pronged strategy that,
first, seeks to ensure that higher education is accessible and affordable to all
individuals and, second, promotes innovative reform to ensure educational
quality. The Administration’s strategy gives states incentives to innovate
toward comprehensive education reform as well as to adopt college- and
career-ready standards of achievement. Effective education requires support
from cradle to career. Reforms are needed at every level to produce a strong
and competitive workforce.

Early Childhood Education
The years before kindergarten are among the most significant in
shaping a child’s foundation for learning and school success. Research shows
that high-quality early learning programs help children arrive at kindergarten ready to succeed in school and in life, reducing achievement gaps
that first appear at early ages. Disadvantaged students who have access to
such programs realize positive gains in their cognitive, social, emotional, and
language skills (Cunha et al. 2006). Investments in early childhood education
can improve academic attainment, reduce the need for special education,
and increase future graduation rates. Early childhood education also has
been shown to reduce future crime and teenage pregnancy for disadvantaged children. Furthermore, investments in high-quality early childhood
learning programs have been shown to be extremely cost-effective, with
lasting returns to society as high as 17 percent per year (Belfield et al. 2006).
Recognizing the benefits of early childhood learning, the
Administration’s FY 2012 Budget proposes to establish a new, competitive
Early Learning Challenge Fund (ELCF). States would compete for grant
2 Results of the most recent National Assessment for Educational Progress show that, although
American students have improved in math over the past 30 years, only 26 percent of 12th graders
are “proficient” or better in math.

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aid from this fund by establishing systems of early learning that set high
standards and ensure that more children enter kindergarten with the skills
necessary for success. The fund would promote evidence-based evaluation
of programs, strategies for families and parents to assess the quality of early
learning programs, and the creation of age-appropriate curricula and assessment systems.

Elementary and Secondary Education
Just as early childhood education is important to prepare children for
primary education, the K–12 system is crucial to prepare students for college
and the workplace. Too many students leave high school with inadequate
academic preparation. In the 2007–08 school year, one in five first-year
college students took remedial courses, a costly situation for both the
student and society. The need for remedial work is also a warning sign that
the student is more likely to drop out without completing his or her degree
(Adelman 1998). The task of improving college and labor market preparedness thus begins well before a student reaches college or the labor market.
The Administration is committed to fostering innovation that will
improve educational outcomes. The Recovery Act created Race to the Top,
the largest-ever federal competitive investment in school reform. Race to
the Top is designed to spur state and local reforms in K–12 education by
allowing states to innovate and formulate their own solutions. The program
provides competitive grants to encourage and reward states that have taken
action to improve teacher quality, adopt college- and career-ready standards, incorporate better data into decisionmaking, and improve student
achievement in low-performing schools.
Encouraged by the Race to the Top initiative, 48 states worked
together to create a voluntary set of college- and career-ready standards,
which establish a shared set of clear educational guidelines for language
arts and mathematics education. As of December 2010, 40 states and the
District of Columbia had adopted these standards. Many states also pledged
to undertake a variety of innovative measures, including allowing more
charter schools and promoting the use of better student achievement data to
inform teacher evaluations. In August 2010, nine states and the District of
Columbia were named Phase 2 winners of Race to the Top, joining Phase 1
winners Delaware and Tennessee. The program will benefit all of America’s
students, whether or not they live in a state that was awarded a grant. By
providing incentives for all states to institute reforms, the program has
spurred reform across the country. Thirty-four states have changed state
education laws or policies to make them more conducive to reform that

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will provide higher-quality instruction and give students in low-performing
schools access to the education that they deserve.
Another focus of the Administration’s reform efforts is improving
low-performing schools. As established in the Recovery Act, School
Improvement Grants provide a total of $3.5 billion to transform the lowestperforming schools so that disadvantaged students receive the instruction
and resources they need to succeed in the college or career of their choice.
Already more than 700 schools are participating in this program.
The theme of giving states incentives to undertake reforms, adopt
national standards of achievement, and improve the lowest-performing
schools is embodied in the Administration’s Blueprint for Reform in K–12,
released in March 2010. Building on the success of Race to the Top, the
Blueprint seeks to bring innovative strategies and meaningful standards to
all 50 states. This plan will fix No Child Left Behind’s accountability system
with a new federal framework built around five key priorities: implementing
college- and career-ready standards, placing effective teachers and leaders in
every school, providing equity and opportunity for all students, rewarding
states and school districts that excel, and promoting innovation and continuous improvement. Recognizing the importance of finding and supporting
local solutions, the Blueprint proposes federal funding to support state and
local school district efforts in tackling these goals. The FY 2012 Budget
proposes consolidating dozens of redundant programs from No Child Left
Behind, providing resources to help schools focus on results. The Blueprint’s
framework is centered on rewarding success and providing greater flexibility
to local actors in developing school improvement plans.
In today’s global economy, it is essential that all students be prepared
academically for whatever career path they choose. The Administration has
specifically targeted improving education in STEM subjects to maintain a
skilled, innovative workforce in these growing fields (Box 3-4). In addition,
the Obama Administration dramatically increased funding for the Teacher
Incentive Fund, which supports efforts to develop and implement performance-based teacher and principal compensation systems in high-need
schools. In September 2010, grants were awarded to school districts and
state education departments that had developed “rigorous, transparent, and
fair” teacher and principal evaluation systems, as measured by both higher
achievement for students and classroom observations.

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Box 3-4: STEM Education and Educate to Innovate
Training in science, technology, engineering, and mathematics
(STEM) fields is an important pathway to high-quality jobs, and STEM
education is also critical to producing future innovators who will
develop new products and ideas. Recognizing the importance of teachers
in K–12 education and especially in STEM fields, the President has set a
goal of training an additional 100,000 effective STEM teachers over the
next 10 years. The Administration’s proposed FY 2012 Budget includes
$100 million devoted to this task.
The Administration’s Educate to Innovate campaign focuses
specifically on improving children’s education in STEM fundamentals in
the classroom and beyond. Key elements of the campaign are harnessing
public-private partnerships that build support around science and math
teachers, connecting kids to the wonder of invention and discovery, and
raising the profile of science through initiatives like the White House
Science Fair. The Educate to Innovate campaign hopes to increase STEM
literacy; move American students to the top of the international pack in
STEM performance; and expand awareness, especially among underrepresented groups, of STEM career opportunities.
As part of this campaign, the President announced the launch of
Change the Equation in September 2010. This nonprofit organization
was formed by the business community in response to the President’s
spring 2009 “call to action” at the National Academy of Sciences for all
Americans to join in elevating STEM education as a national priority. In
its first year of operation, Change the Equation will work with member
companies to spread effective STEM education programs to sites across
the country. It will also create a scorecard to assess the condition of
STEM education in all 50 states, building a baseline from which to
measure progress in coming years. Furthermore, Change the Equation
will identify and share principles for effective business involvement in
STEM education, helping its member companies judge and improve the
effectiveness of their own programs through robust self-evaluation tools.
The immediate goal of Change the Equation is to replicate, within
one year, successful privately funded programs in 100 high-need schools
and communities. These programs include robotics competitions and
improved professional development for math and science teachers. With
leadership from the President and the private sector, a membership
of more than 100 CEOs, and funding of $5 million for its first year of
operations, Change the Equation is well positioned to promote its three
key goals: great teaching, inspired learners, and a committed Nation.

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Advancements in education technology have the potential to improve
K–12 education by personalizing the learning experience and reducing
the time needed for students to gain new knowledge. The Administration
supports several programs, as well as the launch of an Advanced Research
Projects Agency for Education, which will promote education technology
innovations. With broadband, cloud computing, digital devices, and software, these technologies can spread widely and allow both the identification
and adoption of best practices.

Higher Education
American universities remain a renowned strength of the Nation’s
educational system (Box 3-5). To reach the President’s goal of leading the
world in college completion by 2020 and to provide the skilled workforce
needed for the economy to thrive, the Administration has prioritized
making the college and university system accessible and affordable to all.
The Health Care and Education Reconciliation Act (HCERA), signed
in March 2010, helps build a more reliable and effective financial aid system
by making all federal loans—Stafford loans, PLUS loans, and consolidation
loans—available directly to students, ending subsidies once paid to thirdparty administrators. By saving $68 billion in subsidies over the next 11
years, the direct loan program allows for deficit reduction and for greater
investments in college affordability.
To make college more affordable to low-income students, the
Administration also has greatly expanded the Pell Grant program. In addition to Recovery Act support for the Pell Grant program, HCERA invests
more than $40 billion in Pell Grants, raising the maximum Pell award from
$4,730 in 2008 to $5,550 in 2010 and to an estimated $5,975 in 2017. Pell
Grants can be applied toward traditional college expenses as well as to vocational and adult education programs.
The impact of these efforts is already evident, with nearly 8 million
Pell Grant recipients in the 2009–10 academic year. That is more than
double the figure from 10 years earlier and is 26 percent above the 2008–09
level. Furthermore, the average award of $3,646 is 25 percent larger than the
average award in 2008–09.
In addition, the American Opportunity Tax Credit (AOTC), established in the Recovery Act, provides up to $2,500 a year for college tuition
and related expenses for American families. The AOTC is refundable,
thereby also reaching lower-income families. The tax credit increased tax
incentives for higher education by more than 90 percent and benefited 8.3
million students and their families in 2009. In December 2010, the President
signed an extension of the AOTC through the end of 2012, and he has
proposed making it permanent.
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Box 3-5: America’s Universities: Leading the World
Despite the relative decline in educational attainment in the
United States, America’s universities remain the strongest in the world.
According to the Times Higher Education rankings for 2010–11, the
United States boasts 15 of the top 20 universities in the world. In addition, American institutions remain the most popular destination for
foreign graduate and undergraduate students. Of students traveling out
of their country of residence for tertiary education, 19 percent go to the
United States, more than the combined share of those who go to the next
two most popular countries, the United Kingdom and Germany. The
remarkable diversity of America’s graduate programs has been shown
to increase innovation and research productivity (Stuen, Maskus, and
Mobarak 2010), making these programs even more attractive to both
domestic and international students.
Universities play the dual role of creating new ideas and training
high-skill workers, and American universities lead the world on this
front. Since 1960, 63 percent of Nobel Prize winning research has been
performed in the United States, mostly at universities. The diversity of
the Nation’s colleges and universities is a great strength: 31 percent of the
U.S. Nobel Prize winners since 1960 were foreign born, and 44 percent
of these immigrants received their graduate degrees in the United States.
Furthermore, American universities give students world-class
training for the high-skill jobs of the future. University students in the
United States have the opportunity to learn from the world’s leading
scientists and scholars, ensuring that the best new ideas enter the
American workforce. Preparing the American workforce for the 21st
century depends on taking innovative ideas from the laboratory to the
workforce, and universities provide that bridge.

Federal efforts to increase financial aid, particularly the Pell Grant
program, are the primary reason that net tuition (tuition minus grant aid)
has fallen at all types of colleges and universities over the past five years, even
as published tuition has risen substantially. To make higher education more
accessible to all students, the HCERA provides $2.6 billion over the next
decade to strengthen Minority-Serving Institutions (including Historically
Black Colleges and Universities) nationwide. These schools play a key role
in educating low- and middle-income students, enrolling nearly 60 percent
of the Nation’s 4.7 million minority undergraduate students and accounting
for nearly one-third of all degree-granting institutions in higher education.
These steps will ensure that minority students are given every chance to earn
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degrees and to enter (or return to) the workforce with the skills they need
to succeed.

Job Training
In addition to traditional education pathways, job training programs
provide vital opportunities for workers to gain new skills well suited to
today’s economy. Skill upgrading can be especially important for displaced
workers whose skills might otherwise erode while they search for new job
opportunities. Training is provided by a diverse set of institutions, including
proprietary (for-profit) schools, four-year colleges, community-based organizations, labor unions, and public vocational and technical schools. Studies
have documented that well-designed training and adult education programs
can improve participants’ labor market outcomes, increasing earnings and
the probability of employment (CEA 2009). These improvements appear to
be especially strong in training programs with a targeted focus on specific
sectors, such as technical or high-growth sectors, and in programs that
operate with a high level of employer involvement (Maguire et al. 2010).
The Skills for America’s Future initiative encourages and promotes these
types of partnerships (Box 3-6).
The Administration has acted to promote career training for displaced
workers, giving them the new skills they need to meet the demands of
a competitive economy. HCERA provides $2 billion to fund the Trade
Adjustment Assistance Community College and Career Training Grant
Program, which provides grants to institutions of higher education to
improve and expand programs suited to help workers affected by trade.
Under the program, competitive funds will be made available to community
colleges over the next four years to help increase completion of degrees,
certificates, and other industry-recognized credentials. In addition, the
Affordable Care Act, passed in March 2010, makes investments in workforce
training in the high-growth field of health care, providing funding to train
additional doctors, dentists, physicians’ assistants, and much-needed nurses.
Finally, the Administration has called on Congress to reauthorize
and modernize the Workforce Investment Act (WIA). The aim is to fuel
the development and replication of effective practices in job training, adult
education, and vocational rehabilitation. The Recovery Act provided nearly
$4 billion for WIA programs, including $500 million for adult employment
and training activities, nearly $1.5 billion to train displaced workers, and
$750 million for a program of competitive grants for worker training and
placement in the high-growth sectors of health care and clean energy. About
35 percent of workers receiving job training through WIA programs attend
community colleges, putting those institutions on the front lines of training
America’s workforce for the jobs of tomorrow.
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Box 3-6: Skills for America’s Future
In October 2010, President Obama announced the creation of the
Skills for America’s Future (SAF) initiative to foster collaborative efforts
between the private sector, community colleges, labor unions, and other
institutions, with a commitment to scaling up meaningful and measurable solutions. The goal is to build a nationwide network of stakeholders
who will work to maximize workforce development strategies, job
training programs, and job placement.
SAF will identify and highlight characteristics of successful training
programs that can be replicated and scaled up to reach more workers
and institutions. The initiative already has the commitment of private
sector leaders, along with innovative institutions, to advance these
efforts. Actively engaging private employers, with expertise and knowledge of required credentials as well as local labor market conditions, is
critical to the success of training programs. Building and encouraging
collaborative efforts between private employers and public community
colleges and other institutions is one of the cornerstones of the Skills for
America’s Future initiative.
In conjunction with SAF, the President also established the Skills
for America’s Future Task Force, cochaired by top-level Administration
policymakers, to coordinate federal efforts to ensure that the private
sector is well poised to work with and leverage federal training and
education efforts.

Conclusion
Throughout its history, the United States has demonstrated a remarkable capacity to innovate and generate substantial increases in American
standards of living. With the private sector in the lead and appropriate public
investments where markets fall short, Americans will continue to see rapid,
broad-based, and sustained economic growth. The Obama Administration
is making investments in our national innovation system, infrastructure,
and skills to provide the right foundations for prosperity. These foundations
will ensure that, year after year, America’s greatest resource—its people—
can build a brighter future.

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C H A P T E R

4

THE WORLD ECONOMY

L

ike the U.S. economy, the world economy moved toward recovery in
2010 with positive economic growth reestablished in most regions and
rebounding world trade. Emerging-market economies made substantial
contributions to world growth, demonstrating their increasing importance to
the world and U.S. economies. International policy coordination continued
to play an important role: two leaders’ summits of the Group of Twenty
(G-20) were held in 2010, and significant agreements were reached on
important global challenges such as ensuring a strong, sustainable, and
balanced global recovery and setting core elements of a new financial regulatory framework, including bank capital and liquidity standards.
The world economy, however, must not only recover but also shift
away from its pre-crisis pattern of growth that was too dependent on U.S.
consumption. Global imbalances narrowed significantly during the crisis.
Now, a fundamental challenge is to restore growth without restoring the
old growth model and patterns of demand that led to those imbalances.
Even without the economic crisis, however, the world economy would be
undergoing substantial change. China has grown from the sixth- to the
second-largest economy in just a decade, and the Group of Seven (G-7)
advanced countries’ share of the world economy continues to shrink as
numerous emerging markets grow onto the world stage. These changes are
generating shifts in world production and trade, but the growth of emerging
markets need not portend a de-industrialization of advanced economies
or a fall in the standard of living of Americans. The United States is home
to many of the most innovative firms in the world, universities that attract
more students than any other country, and the most productive workers of
any major economy. In addition, output per capita is higher in the United
States than in any of the other G-7 nations and much higher than in any
emerging economy. These shifts do require, however, that the United States

81

evolve to meet both new opportunities and new challenges. The same forces
described in Chapter 3 on long-run growth—innovation, education, and
infrastructure investment—coupled with a smart trade policy are crucial to
the evolving role of the U.S. economy in the world.
The United States, both as part of the economic recovery and as part
of its engagement with the global economy, must increase its exports over
time. Substantial import growth in rapidly growing regions around the
world helped drive U.S. exports at a fast pace in 2010, moving the United
States closer to the Administration’s goal of doubling exports by the end of
2014. Emerging-market economies are playing a growing part in U.S. trade
relationships, and that role will only strengthen in the coming years. Robust
enforcement of market access agreed to in previous trade accords, new trade
agreements to guarantee access to these important emerging markets, and
encouragement of balanced growth around the world will all help spur faster
export growth. A range of additional policy initiatives—advocacy, export
credit, and improvements in the U.S. transportation and supply chain infrastructure—can also contribute to export growth.

Status of the World Recovery
The world economy in 2008–09 faced its most wrenching economic
crisis in a generation. The recovery from that crisis has been quite rapid in
many regions, leading to a rebound in world economic growth and trade.
Many challenges remain, however. Regions are growing at different paces,
and many countries are facing some combination of slow growth, a need
for fiscal consolidation, or complications from rising prices or increased
capital inflows. Fortunately, institutions like the G-20, which were platforms
for increased economic cooperation during the crisis, have been able to
continue to play a positive role in the world economy.

Crisis Fading, But Challenges Remain
The world economy has experienced both a remarkable setback and
rebound in the past three years. The global contraction in the second half
of 2008 and first quarter of 2009 was sharp but relatively short-lived. By the
second quarter of 2009, the world’s growth rate (the weighted average of the
growth rate of countries’ real gross domestic product or GDP) was positive,
and by the third quarter, the average growth rate had returned to its 2007
levels. The International Monetary Fund (IMF) projects that, for the four
quarters of 2010, the world economy grew more than 4 percent and will
continue at that pace in 2011 (IMF 2010).

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Although average growth coming out of the crisis has been rapid,
it has not been evenly distributed, as Figure 4-1 demonstrates. The financial market shocks of the recession were concentrated in the advanced
economies, and those economies have rebounded more slowly. Most
emerging-market economies rebounded quickly; some, in fact, never saw a
contraction, just a slowdown in their rapid growth. In the first half of 2010,
real GDP in the emerging-market countries of the G-20 grew 7.9 percent on
average (at an annual rate), compared with 3.3 percent for the G-7 countries
(growth slowed slightly in both groups in the third quarter).1 The IMF projects that substantially faster emerging-market growth will persist, predicting
growth of 7 percent in emerging and developing economies in 2010 and
2011, compared with roughly 2.5 percent in advanced economies.
Figure 4-1
Real GDP Growth
Percent (annual rate)
15

10

Emerging G-20

5
G-7
0
2010:Q3

-5

-10
2006:Q2

2007:Q2

2008:Q2

2009:Q2

2010:Q2

Sources: Country sources; CEA calculations.

It is not surprising to see advanced economies grow more slowly than
emerging ones. Emerging markets tend to have faster population growth—
and hence a growing labor supply—and can converge toward advanced
economies through rapid productivity growth as they upgrade the education
of their workforce and the technology they use. Still, a gap of roughly 4.5
1 The G-20 is made up of 19 major economies plus the European Union. The G-7 includes
the largest 7 advanced economies of that group (by size of economy, the United States, Japan,
Germany, the United Kingdom, France, Italy, and Canada). The remaining members of the G-20
are Australia and South Korea along with major emerging-market nations: Argentina, Brazil,
China, India, Indonesia, Mexico, Russia, Saudi Arabia, South Africa, and Turkey. Throughout
this chapter, division of countries into emerging and advanced is based on IMF definitions.

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percentage points in the growth rates of emerging and advanced economies
is unusually large. Such a gap existed in the years immediately preceding the
crisis, but between 1980 and 2007, the gap was much narrower: emerging
and developing economies grew at an average of 4.4 percent, whereas the
average for advanced economies was 2.8 percent.
Several serious challenges to sustained global growth remain. The
unemployment rate in many advanced nations is still unacceptably high. As
Figure 4-2 shows, the unemployment rate in the euro area is still at its peak,
and the U.S. rate is trending down only very slowly. At the same time, many
advanced economies face substantial fiscal deficits. The U.S. Federal fiscal
deficit in 2010 was 8.9 percent of GDP, the euro-area deficit was 6.3 percent,
and Japan’s was 7.7 percent. Over the next few years, those deficits will have
to come down. They will likely fall significantly because of the business cycle
(deficits tend to shrink as economies recover), but further fiscal consolidation will be needed over time. Maintaining sufficient growth to lower the
unemployment rate while simultaneously implementing credible mediumterm fiscal consolidation will be a challenge in many countries. Further,
some euro-area countries have faced pressure from financial markets in the
form of rising yields on their debt, forcing them to lean toward faster consolidation. Because the advanced economies are operating below capacity,
their inflation rates have been low. Core rates were close to 1 percent in the
United States and the euro area, and deflation continued in Japan. Thus far,
central banks have maintained an accommodative monetary policy stance,
with the Federal Reserve and Bank of Japan adding new quantitative easing
measures in 2010, and the Bank of England and the European Central Bank
keeping policy rates low.
In contrast, rising inflation is a concern in emerging-market countries
where growth has been faster. The 12-month change in consumer prices in
China breached 5 percent (above the 3 percent target for 2010, and China is
now reported to have raised its target to 4 percent for 2011); wholesale price
inflation in India rose above 10 percent during the spring and summer of
2010; and inflation rates began to creep up in 2010 in many other emergingmarket countries. Many central banks have raised policy rates or taken
other action to calm inflation. The contrast between fast growth with rising
interest rates in the emerging world and slower growth with lower interest
rates in advanced economies has put pressure on capital flows and exchange
rates. After depreciating during the crisis, the currencies of emergingmarket nations of the G-20 appreciated 5 percent on average over the first 10
months of 2010 on a real trade-weighted basis, and capital flows into these
countries increased as well.2 Thus far, emerging nations have responded
2 Net portfolio investment flows into emerging-market G-20 countries turned negative at the
peak of the crisis but rebounded in 2009 and 2010.

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with a varying mix of currency appreciation, currency intervention, and
capital controls. Total foreign exchange holdings by emerging and developing countries rose by roughly $500 billion in the first three quarters of
2010 (more than double the amount in the first three quarters of 2009 after
adjusting for valuation changes), reflecting increased currency intervention
aimed at slowing or preventing appreciation.
Figure 4-2
Unemployment Rate
Percent
12
10
8
6
4

Euro area

Dec-2010

United States

Japan

2
0
Jan-2007

Jan-2008

Jan-2009

Jan-2010

Sources: Country sources; CEA calculations.

While overall world growth has rebounded, another crucial challenge
to the world economy is to make up for the output lost during the recession. By the end of June 2010, the world economy had recovered to the
level of output before the recession, but world GDP remains considerably
below the output trend it was on before the crisis struck. Research suggests
that financial recessions are long and deep, and whether the output lost
is completely recovered is an important issue.3 For the world economy to
return to its previous output trend, several years of above-average growth
will be necessary.
3 Reinhart and Rogoff (2009) demonstrate that financial recessions are longer and deeper than
other kinds of recessions, but the authors do not comment on whether the output loss is permanent. IMF (2009) argues that, on average, countries do face a medium-term output loss and thus
never recover to the pre-crisis trend level, but that study (which looked at earlier recessions)
found wide variation in outcomes, with the top quarter of countries more than 5 percent above
their pre-crisis output trend seven years after a banking crisis. In addition, a variety of methodological choices may bias the IMF results toward finding a permanent loss. Other work finds
that most countries recover all output lost in a financial recession over the medium term (see,
for example, Cecchetti, Kohler, and Upper 2009).

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The Rebound in World Trade
A particular difficulty during the recession was the collapse in world
trade. Even countries with little connection to the financial aspects of the
recession were nonetheless affected as demand for imports plummeted and
financing conditions for export credit tightened (Baldwin 2009). Trade fell
even faster than GDP: the unprecedented collapse of world trade during the
last quarter of 2008 and the first quarter of 2009 saw an almost simultaneous,
precipitous decline of exports and imports across all major regions of the
world.
Trade has recovered more quickly than GDP has: exports and imports
picked up during the second and third quarters of 2009 and continued the
V-shaped recovery in 2010, advancing significantly ahead of expectations.
In October 2009, the IMF expected real world trade (adjusted for prices)
to grow just 2.5 percent in 2010. Only months later, the Organisation for
Economic Co-operation and Development projected a 6 percent increase.
In April 2010, the IMF forecast a 7 percent increase, and in the fall of 2010,
both institutions expected over 11 percent growth for the year.
Figure 4-3
Import Volume Indexes
Index (2007:Q1 = 100)
130
Emerging Asia
120
Latin
America

110

Japan
100
Euro area

90
United
States

80
70
2007:Q1

2007:Q3

2008:Q1

2008:Q3

2009:Q1

2009:Q3

2010:Q1

2010:Q3

Sources: CPB World Trade Monitor; CEA calculations.

Important regional differences mark both the contraction in trade
during the recession and the expansion of imports and exports during the
recovery. Figure 4-3 shows the import volume (adjusted for prices) and
Figure 4-4 the export volume of various regions relative to their levels in the
first quarter of 2007. Asia’s emerging economies experienced a sharp decline
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of imports and exports, but they were among the quickest to recover and
were the first in 2010 to reach their pre-crisis levels. Japan, whose exports
plunged nearly 40 percent from peak to trough in the crisis, also rebounded
in 2010, closing the year with exports less than 10 percent below the precrisis peak. Japan’s imports fell by only half as much as its exports, and they
too were recovering but had not attained their pre-crisis levels by the end
of 2010.
Figure 4-4
Export Volume Indexes
Index (2007:Q1 = 100)
130
Emerging Asia
120
110

Latin
America
United
States

100

Japan

90

Euro area

80
70
60
2007:Q1

2007:Q3

2008:Q1

2008:Q3

2009:Q1

2009:Q3

2010:Q1

2010:Q3

Sources: CPB World Trade Monitor; CEA calculations.

The export decline in the United States was similar to that in the euroarea countries, but U.S. exports have recovered more quickly. U.S. imports
initially declined more sharply than those in the euro area, but they also have
rebounded substantially. Among all of the major regions of the world, the
euro area has had the slowest resumption in import growth.
Finally, despite the substantial progress in the V-shaped trade
recovery, as of the third quarter of 2010, none of these economies had yet
achieved the level of trade that had been projected to take place had precrisis trends continued in the absence of the 2008–09 trade collapse.

Global Policy Coordination
During the crisis, world leaders established the G-20 as the premier
international body for international economic coordination. The G-20,
whose members account for nearly 90 percent of world GDP, continued to

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play a pivotal role in 2010, holding two leaders’ summits as well as finance
ministers’ and deputies’ meetings, along with continual staff work.
At the leaders’ summit in Pittsburgh in 2009, under U.S. leadership,
the G-20 committed to work toward strong, balanced, sustainable global
growth. In Toronto in June 2010, leaders made commitments to boost
demand where needed and to strengthen public finances and financial
systems. In Seoul in November 2010, they agreed to undertake macroeconomic policies to ensure ongoing recovery and sustainable growth,
including making exchange rates more market-determined and adopting
other policies to temper global imbalances.
The G-20 also followed up on significant commitments to reform
the international financial system and its institutions. Through the Basel
Committee on Banking Supervision, nations around the globe negotiated
a new framework for banking supervision that is intended to improve the
ability of the global financial system to absorb shocks and reduce the risk
of spillover from the financial sector to the real economy. The framework
involves raising capital standards, broadening the coverage of supervision,
introducing global liquidity standards, and promoting the buildup of capital
buffers in good times.
G-20 nations also followed through on their commitment to change
the governance structure of the two major international financial institutions: the IMF and the World Bank. The governance structure of these two
organizations was heavily weighted toward advanced countries, and each is
now being changed to incorporate more leadership from major emergingmarket countries, including changes to quota shares and board seats.
Finally, policy coordination has continued as various financial difficulties have appeared throughout the year. The focus of much of the concern
during 2010 has been on sovereign debt in Europe. First, central banks,
including the Federal Reserve, coordinated to ensure sufficient liquidity
across markets. More importantly, in May, European leaders worked with
the IMF to create a European Financial Stabilization mechanism with up to
$1 trillion committed to stabilizing the debt markets for various euro-area
nations. The funds were first used in Greece to provide a necessary backstop
as that country tried to rebalance a precarious fiscal situation. Toward the
end of the year, the mechanism was used to backstop Ireland as it struggled
with the costs of its banking system.

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The Evolution of the World Economy
The world economy has begun a transformation. Rapidly growing
emerging-market countries and some advanced countries with high savings
will need to provide more demand to the world economy, and countries
that are borrowing too much will need to save more. Changes are already
taking place in the composition of U.S. exports as services play a larger role,
but there will likely be continuity as well, as the United States maintains
its exports of products that rely on sound legal institutions, an innovative
economy, and the high skills and productivity of U.S. workers. More of those
products, though, are likely to be headed toward rapidly growing emerging
markets, a change that will be essential if the U.S. economy is to meet the
Administration’s goal of doubling exports in five years.

Global Imbalances
As the G-20 actions show, world leaders have recognized that more
balanced growth is essential to the world economy. The United States had
a large current account deficit before the crisis, and the Administration has
been clear that the United States must find a more balanced growth model,
one that involves more exports and investment. The trade balance, or net
exports, represents the bulk of the current account (net income on overseas
assets and unilateral transfers such as foreign aid and remittances make up
the rest). At the same time, the current account represents the net lending
of a country to the rest of the world because if a country exports less than it
imports, it must either borrow or sell foreign assets to pay for that consumption from abroad.
The issue of global imbalances is a problem not just for the United
States but for all nations. A single country’s saving behavior can affect saving
and investment around the globe. A large deficit, for example, can take
up too much world savings and crowd out borrowing in other countries.
Conversely, a current account surplus means a country is not contributing
as much to world demand as it is to world supply and may be lowering
world interest rates and encouraging deficits in other countries. Surpluses
become particularly contentious when global output is below potential
output. Thus, the macroeconomic behavior and outcomes of different countries are linked.4 Before the crisis, when the United States was too reliant on
consumption, other countries around the world were also too reliant on U.S.
consumption and exports to the United States.
4 Current account deficits or surpluses are not always a bad thing. Where many productive
opportunities exist, a country may borrow to invest more than its savings allow and may therefore want a deficit; alternatively, a country may temporarily have an excess of savings. However,
large persistent surpluses or deficits can be a sign of more structural imbalances in an economy.

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The United States accounts for roughly one-quarter of the world
economy, and consumption has historically accounted for roughly twothirds of the U.S. economy. Thus, one might normally expect 16–17 percent
of world aggregate demand growth to come from U.S. consumers. But
emerging and developing economies often grow faster than more mature
economies. Thus, a larger portion of world growth would be expected to
come from emerging economies than their share of the world economy
would warrant.
From 1996 to 2006, though, U.S. consumption played an outsized
role in the world economy, with roughly 22–23 percent of the growth in the
world economy coming from growth in U.S. consumption. This level was
simply not sustainable. During this period, U.S. consumption rose to 70
percent of the U.S. economy, personal saving fell to very low levels, and U.S.
business equipment and software investment growth lagged behind GDP
growth. At the same time, the fiscal position of the U.S. Federal Government
moved from substantial surpluses at the end of the 1990s to substantial
deficits in the mid-2000s. These deficits also contributed to lower national
saving. Such macroeconomic behavior had important implications for the
world economy. The rapid growth in consumption and decline in saving
(both personal and government) meant that the United States increasingly
borrowed from the world and had a growing current account deficit.
At the same time that consumption was outpacing income in the
United States, many other countries had export growth well in excess of GDP
growth. Falling transport prices and the rise of globally integrated production supply chains mean that the production of a single good may generate
far more recorded exports and imports than the value of the final good itself.
To illustrate, consider a smartphone whose various parts may be traded
across many borders at different stages of production before final assembly
and sale of the phone. Each time a component crosses a border to move to
the next stage of processing, it counts as an import for one country and an
export for another. As a result, the total value of exports and imports for
various countries from that one phone will likely exceed the total final value
of the phone, leading to faster export growth than GDP growth when one
more phone is made. From 1998 to 2008, exports grew faster than GDP in
nearly every major economy. Of the largest 20 exporters, though, the United
States had the lowest rate of export growth—96 percent, compared with an
average of 243 percent among the other top 20 exporters. Even among other
advanced countries, the average was 143 percent. The United States still
exports more goods and services than any other country in the world, but
over the past decade, it relied too much on domestic consumption to drive

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growth and not enough on the rest of the world. As a result its export growth
lagged and its lead shrunk significantly.
Some countries, such as India and Brazil, opened up to the world
economy and saw both their exports and imports rise substantially over
the decade before the crisis. Their exports as a share of GDP increased, but
they were not dependent on external demand for growth because they were
both selling to and buying from the world. Yet other countries experienced
the mirror image of the U.S. model of the 2000s. Rather than imports and
consumption rising faster than incomes, exports and savings increased so
that both exports and the trade surplus continued to grow as a share of their
economies. These surplus countries thus effectively funded the borrowing of
deficit countries and provided less demand support to the world economy.
From 2000 to 2008, China’s current account rose from a surplus of 2 percent
of GDP to 10 percent, while Germany’s moved from a deficit to a 7 percent
surplus. While Germany’s surplus rose, other countries in the euro area
(France, Greece, Italy, Portugal, and Spain) experienced rising deficits.
Figure 4-5 shows that as the decade of the 2000s wore on, the global
imbalances worsened. The U.S. deficit and the Chinese and German
surpluses grew not just as a share of their own GDP but as a share of world
GDP as well. By 2007, the U.S. deficit was shrinking as a share of both U.S.
and world GDP, but China’s surplus continued to rise as a share of world
GDP, and the euro-area deficit countries’ combined current account deficit
was expanding as well.
Figure 4-5
Current Account Deficits or Surpluses as a Share of World GDP
Percent
2.5
2.0
1.5
1.0
0.5
0.0
-0.5
-1.0
-1.5

Japan
Germany
China

-2.0
-2.5

2003

2004

2005

2006

2007

2008

2009

U.S.
Rest of world
Euro deficit

2010:Q1 2010:Q2 2010:Q3

Notes: "Euro deficit" represents France, Greece, Ireland, Portugal and Spain. "Rest of world"
represents all other countries not shown here plus the statistical discrepancy.
Sources: Country sources; CEA calculations.

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The crisis brought about a sharp change in these imbalances.5 The
U.S. current account deficit shrank from 5 percent of its GDP to less than
3 percent in 2009. At the same time, China’s surplus fell from 9.6 percent
of its GDP in 2008 to 5.9 percent in 2009. Still, as is clear from the figure,
imbalances remain and have begun once again to widen, albeit slowly. The
U.S. current account deficit is still less than 4 percent of U.S. GDP and,
given that the United States is growing somewhat slower than the world
as a whole, this deficit is shrinking further as a share of world GDP. The
surpluses in both Germany and China remain above 5 percent, however.
Furthermore, when a fast-growing country such as China has a constant
surplus as a share of its GDP, that implies the surplus is growing as a share
of the world’s GDP. Also, while U.S. borrowing in the early 2000s was larger
than the surpluses in Germany, Japan, and China combined, over time the
current account surpluses in these countries grew, and by the third quarter
of 2010, their combined total was considerably larger than the U.S. current
account deficit. As noted, the G-20 continues to work on how to reorient
countries’ policies so they are more mutually consistent and growth is more
balanced and sustainable.
Box 4-1: What Do We Owe the Rest of the World?
Because the current account represents net borrowing in a year,
it indicates the net capital flows (such as securities purchases, bank
deposits, and direct investment) into a country. Along with adjustments
for changes in exchange rates and asset prices, the current account
measures the change in a country’s net foreign wealth (all of the assets
its investors own abroad minus all the claims on its economy by foreign
investors). Net borrowing by U.S. residents over the past decade has left
a negative net international investment position of roughly 20 percent of
U.S. GDP. Relative to other countries, this negative position is still fairly
small as a share of GDP.a
Box 4-1, continued on next page

5 U.S. personal consumption increased to more than 23 percent of the world economy in 2001
and 2002, measured in current dollars, but over time, that share began to shrink. A depreciating
real exchange rate and rapid growth in emerging markets meant that by 2007, U.S. consumption
as a share of the world economy had declined to 18 percent. Despite growing by 6 percent in
2007, U.S. imports as a share of the world economy fell that year. The simple fact that emerging
markets often grow faster suggested that U.S. consumers and U.S. imports could not continue
to absorb such a large share of the world economy. The crisis abruptly and sharply changed the
relationships, but they were already shifting well before the crisis erupted.

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Box 4-1, continued
In addition, foreign investors own only about 11 percent of the
overall financial assets in the U.S. economy. This fact is sometimes
obscured by foreign investors’ preference for U.S. Treasury bills. Because
so much of U.S. net foreign debt is concentrated in one asset class, the
United States is often viewed as a massive debtor to the world. Foreign
investors own roughly one-third of U.S. Treasury securities (roughly
one-half if Treasury securities held by government trust funds—such as
the Social Security Trust Fund—are excluded) (see box figure). China
is the largest foreign holder of U.S Treasuries, but China’s investors
own just 7 percent of the total—one-fifth as much as U.S. bondholders
(some foreign holdings may be misclassified if, for example, China buys
Treasuries through a London investment bank that buys them from the
United States).
Major Holders of U.S. Treasury Securities
7%

China, mainland
6%

Japan
5%

34%

European Union

4%
9%

Financial centers
Other foreign
United States
Intra-U.S. Government

35%
Notes: Financial centers include Caribbean banking centers, Hong Kong, Luxembourg,
Singapore, and Switzerland.
Sources: Treasury International Capital data, October 2010; Department of the
Treasury, Monthly Statement of the Public Debt of the United States.

a The U.S. net international investment position has not become as negative as
one might have expected based on the amount of borrowing over the 2000s. In addition to borrowing in any given year, the values of U.S. foreign assets and liabilities
change in response to changes in market conditions. Over the past decade, the United
States has had, on net, positive “valuation effects” (Lane and Milesi-Ferretti 2009).
Strong asset performance in the United States and changes in currency may have led
to a decline in the net international investment position in 2010.

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Determinants of Exports
The United States is well positioned to spur growth through exports,
even if the precise composition of the goods and services America will sell to
the world in the future is not known today. The pattern of trade between one
economy and another, quite different, economy is determined in part by the
forces of comparative advantage, that is, what it is that differentiates the two
economies. Comparative advantage can lie in differences in labor productivity, the relative availability of a country’s natural and physical resources,
the educational priorities that help to determine the skill sets of its people,
and even the institutions that can create different conditions across national
markets. For example, the United States exports high-tech machinery to
other countries that may not have the high-skill labor or advanced technology required to make those goods. Also, high judicial quality and good
contract enforcement give the United States an advantage in the production
of goods and services that require businesses to invest to tailor products
to particular consumer needs. Thus, the United States has a comparative
advantage in highly complex products that are difficult to commoditize.
Such products may require teamwork in the design and production process
and substantial financial investment in research and development (R&D)
and hence commitment to the protection of intellectual property.
But comparative advantage does not explain the determinants of
and benefits to the back-and-forth trade of similar products (intraindustry
trade), especially that taking place between similar economies. A modernday example is trade in smartphones. Beginning in the late 1990s, a Canadian
firm was a first entrant to the wireless communications market, and U.S.
business consumers flocked to import a mobile device that could send and
receive e-mail messages. Soon thereafter, U.S. firms innovated and engineered different varieties of these mobile products with additional features
that increasingly appealed to individual consumers as well. Consumers in
other countries (including Canada) imported substantial quantities of these
U.S.-designed smartphones. The ability to trade internationally let these
firms produce for multiple markets and take advantage of scale economies,
and it encouraged their entrepreneurship and innovation by providing a
larger potential market. But manufacturers are not the only ones that gain;
consumers in the United States and Canada also benefit through access
to foreign-designed varieties of the product in addition to those that are
conceived and produced domestically.
Product quality is also important to understanding the determinants of intraindustry exports. Generally speaking, richer countries tend to
specialize in higher-quality goods within the same product type, while developing and emerging economies tend to focus on goods further down the
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quality ladder. For example, Italy may import low-cost T-shirts from China,
but it is a leader in exporting high-quality, high-fashion shirts to the world.
Those products that have wide variation in quality allow advanced-country
firms to differentiate their goods and services away from imported varieties
from low-wage countries.
Manufacturing Exports. While the United States is still the largest
combined exporter of goods and services, America has slid from being the
world’s leading exporter of goods at the beginning of the century to the
third position, behind China and Germany. Nevertheless, the United States
continues to export over $1 trillion of goods annually, more than threequarters of which are manufactured, and these exports support more than
one-fourth of the manufacturing jobs in the United States. As Figure 4-6
indicates, manufacturing and agriculture goods combine to make up more
than two-thirds of total U.S. exports.
Figure 4-6
U.S. Exports by Sector
Percent
80
70

Manufacturing

60
50
40
30

Services

20
10

Agriculture

0
1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
Note: 2010 data are through October.
Sources: Bureau of Economic Analysis / Census Bureau, U.S. International Trade in Goods and
Services.

Experience from other high-income countries shows that a shift in
the world share of exported goods does not mean a shift entirely out of
manufacturing and into a service-only economy. Germany, the secondplace goods exporter, maintains a substantial share of manufacturing in
its economy and exports many of these products (including to emerging
markets). Manufacturing is also a larger share of the economy in Japan
than it is in the United States. Like the United States, these countries have a
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floating currency and highly paid, high-skilled workers. The rise of emerging
markets—with lower wages but also lower productivity—has not forced
these high-income countries out of manufacturing. Richer countries do tend
to produce and consume more services than do emerging-market countries.
Nevertheless, manufacturing, especially of complex products, continues to
play a substantial role in advanced economies, including the U.S. economy.
Services Exports. Services are of increasing importance to highincome economies. Some services are nontraded, such as restaurant meals,
live entertainment, and cleaning services. But services such as consulting,
finance, architecture, accounting, law, and tourism are traded. With
improvements in communications technology as well as infrastructure,
many services are becoming increasingly tradable. As noted, nearly onethird of total U.S. exports annually are in services. Figure 4-7 shows the
rapid growth of U.S. services exports as well as the growing surplus in U.S.
services trade.
Figure 4-7
U.S. Trade in Services
Billions of dollars
50

Billions of dollars
16

45

14

40

12

35
Exports
(left axis)

30

10
8

25
Oct-2010

20
15
Trade balance
(right axis)

10
5

4
2
0

0
Jan-1992

6

Jan-1996

Jan-2000

Jan-2004

Jan-2008

Source: Census Bureau, U.S. International Trade in Goods and Services.

Some of the largest and fastest-growing U.S. services exports are in
business, professional, and technical services. Other important categories are
insurance, finance, and education services. Analogous to the case of goods
exports, U.S. service exports are in sectors where U.S. firms and employees
offer world-class, high-quality performance and thus give the United States
a strong comparative advantage.
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Changing Composition of Goods and Services Exports. Economic
forces have traditionally allowed the United States to produce and export
many of the goods and services in which it had a comparative advantage at
that point in time. There is no reason to think that those forces will cease to
operate going forward.
As the next section documents in more detail, the growth in U.S.
exports is coming from new demand, much of it from emerging economies.
Some emerging markets are quickly urbanizing and shifting away from
subsistence agriculture, thus increasing foreign demand for U.S.-grown
farm exports such as soybeans, corn, and wheat. These emerging economies
are developing a sizable middle class, newly able to afford the higher-quality
goods and services that they may not have been able to buy in the past. And
the expansion of home-grown businesses in emerging economies creates
new demand for R&D-intensive, highly complex products, such as aircraft,
turbojets, oil and gas field machinery, electronic integrated circuits, and
medical instruments. These products frequently sit at the top of the U.S.
export list, and U.S. exports of these products will likely sit at the top of the
quality ladder.
The details may be impossible to forecast accurately, but past experience suggests that the U.S. export industry is likely to be built on high-quality
goods and services that tap into entrepreneurial talents and that reflect the
United States’ commitment to reward an innovative workforce. Many of the
policies and programs described in Chapter 3 as essential to long-run innovation and growth are also critical to the successful evolution of the United
States as it adjusts to changes in the world economy.

Evolving U.S. Trade Patterns
Even before the global economic crisis and recession of 2007–09, the
United States had been in the midst of a longer-term reorientation of its
international trade patterns. Understanding the relative shift in these trade
patterns is as important as coming to terms with the shifting trends in the
underlying goods and services that the United States produces and exports.
While historical trading partners such as Canada, Japan, and the European
Union continue to be a strong component of overall U.S. trade, the new and
most dynamic sources of U.S. trading relationships are coming from other
places in the world.
Increasing Trade with Emerging Economies. The share of total U.S.
exports sent to mature trading partners has been declining for decades.
The share of total U.S. goods exports consumed by the 27 countries of
the European Union (EU) dropped from nearly one-third (31 percent) in
1948 to one-fifth (21 percent) in 2009, even though these economies have
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grown increasingly wealthy. The share of total U.S. goods exports to historically important high-income economies like Japan and Canada has also
shown signs of decline (Figure 4-8). But the European Union, Canada, and
Japan are not buying less from the United States than they did in the past.
Rather, U.S. exporters are now shipping an increasing amount of goods to
other, faster-growing economies, in addition to maintaining their historical
trading relations (Figure 4-9).
Figure 4-8
Share of U.S. Goods Exports to Mature Foreign Economies
Percent
35
EU-27

30
25
20

Canada

15
10
Japan
5
0

1948

1958

1968

1978

1988

1998

2008

Sources: IMF Direction of Trade Statistics; CEA calculations.

U.S. trade with China exemplifies this story. As late as 2000, the year
before China joined the World Trade Organization (WTO) and substantially
opened its market to imports, only 2 percent of all U.S. goods exports went
to China. By 2009, after a decade of rapid growth, China had become the
fourth-largest destination market for U.S. goods exports after the European
Union, Canada, and Mexico. Mexico is another prime example. Mexico’s
import tariffs in 1982 averaged 16 percent with a maximum rate of 100
percent (de la Torre and González 2005). Mexico signed onto the General
Agreement on Tariffs and Trade (GATT) in 1986, and by 1992 it had cut
those tariffs under the GATT to an average of 11 percent with a maximum
rate of only 20 percent. In recent years, the share of total U.S. goods exports
to Mexico has remained steady at 12 percent, nearly double its level in the
early 1980s before Mexico liberalized its economy, signed onto the GATT,
and negotiated the North American Free Trade Agreement (NAFTA).

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Figure 4-9
Share of U.S. Goods Exports to Major Emerging Economies
Percent
16
14
12

Brazil, India, and
other emerging
economies

10

Mexico
signs onto
GATT

8
6
Mexico
4
China
(and Hong Kong)

2
0

1948

1958

1968

China joins WTO
1978

1988

1998

2008

Sources: IMF Direction of Trade Statistics; CEA calculations.

U.S. exports to several other emerging economies still have room to
grow. The share of total U.S. goods exports going to Brazil, India, and a
number of other emerging economies (see Figure 4-9) has increased slightly
from its mid-1980s low point, hitting a recent peak in the mid-1990s when
some of these economies went through an initial phase of trade liberalization. U.S. export growth to these economies has since leveled off. Whether
future U.S. export growth to these other emerging economies replicates the
experience of earlier U.S. export expansions into China and Mexico—and
even to Japan through the 1980s (see Figure 4-8)—depends partly on the
extent to which these other emerging economies commit to liberalizing
their import markets. A key item on the Administration’s trade agenda is
therefore continued work to open these markets through the Doha Round
of WTO negotiations.
U.S. import patterns are also experiencing a reorientation. At the end
of the 1940s, Japan and the European Union countries were still devastated
by World War II and far from being the mature economies they are now.
After these economies rebuilt, however, they quickly became large sources
for U.S. imports. The European economies peaked at supplying nearly 30
percent of U.S. goods imports in the late 1960s; Japan peaked at roughly 20
percent of U.S. imports in the mid-1980s. Imports from Canada peaked at
nearly 30 percent around 1970. U.S. imports from Canada, the European
Union, and Japan continue to grow, but the share of U.S. imports from

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these countries has declined as imports from fast-growing export markets,
including China and Mexico, have increased (Figure 4-10).
Figure 4-10
Share of U.S. Goods Imports by Foreign Source
Percent
30
25
EU-27

20
15

Canada
Japan

10

Mexico
5

China

0
1948

1958

1968

1978

1988

1998

2008

Sources: IMF Direction of Trade Statistics; CEA calculations.

Doubling U.S. Exports. In his January 2010 State of the Union address,
the President established a goal of doubling U.S. exports of goods and
services in five years, meaning that nominal exports would double from their
2009 level of $1.57 trillion to an annual level of $3.14 trillion by the end of
2014. To meet that goal, U.S. exports need to grow an average of 15 percent
a year. So far, exports are on track to meet or exceed that pace. Through the
first three quarters of 2010, U.S. exports of goods and services increased by
17 percent relative to the same period in 2009. Doubling exports over five
years will increase the number of jobs supported by exports, and importantly, these are, on average, higher-paying jobs.
Goods exports have been rising faster than total exports, increasing
22 percent through the first three quarters of 2010. But that total masks
significant variation in exports to different regions. U.S. goods exports to
the Pacific Rim (East Asia and Oceania) increased by 32 percent, to Latin
America by 29 percent, to Canada and Mexico by 26 percent, but to Europe
by only 9 percent. This slow export growth to Europe means that even
though it is a key export partner, the European market contributed very little
to export growth in 2010. Some of this variation is attributable to the longer
term, pre-crisis trends in which U.S. exports to many emerging economies
were already increasing.
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The extent to which a region drives U.S. export growth is not simply
a function of the growth rate of U.S. exports to the region. The size of the
trading relationship matters. Even though exports to our NAFTA partners
grew more slowly than those to the Pacific Rim, exports to Canada and
Mexico contributed more to total export growth because they represented
roughly a third of all U.S. exports. Still, increasing demand from emerging
markets is essential to the growth of U.S. exports. Emerging markets
accounted for 43 percent of U.S. goods exports during the first nine months
of 2010, but they generated half of the export growth during that period
and might have generated even more than half had not excellent U.S.
export performance to Canada and Korea helped keep up export growth to
advanced regions. Faster growth of exports to emerging economies means
their share of U.S. exports will rise over time.
Figure 4-11
U.S. Export Growth vs. Foreign GDP Growth, 2009:Q2 – 2010:Q2
U.S. nominal goods
export growth, percent
60
Malaysia

50
40

Colombia
Canada

30
20

EU

10

Thailand
Mexico
HK China

Australia
Japan

Korea

Israel

Singapore

Brazil Turkey
Taiwan

India

Chile

Switzerland
Russia

0
0

5

10

15

20

Foreign real GDP growth, percent
Sources: IMF Monthly Direction of Trade Statistics; country sources; CEA calculations.

A crucial determinant of U.S. export growth to a region is the pace
at which that market is growing, that is, the speed and depth of trading
partners’ domestic economic recoveries. Figure 4-11 illustrates this fact by
showing the strong positive relationship between growth in foreign real
GDP and nominal growth in U.S. goods exports between the second quarter
of 2009 and the second quarter of 2010. The relationship suggests that
each percentage point of economic growth in a country is correlated with
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more than 2 percentage points of additional U.S. bilateral export growth.
Eliminating Singapore, the sole outlier, leads to a relationship of roughly
three to one.6 Thus, growth abroad is good for the United States—the global
economy is not a zero-sum game.
Figure 4-12
Projected Share of U.S. Nominal Export Growth, 2009–14
Canada

8%

Mexico

11%

EU

42%
10%

China
Other advanced
economies

18%

Other emerging /
developing
economies

11%

Sources: IMF, World Economic Outlook, October 2010; Bureau of Economic Analysis /
Census Bureau, U.S. International Trade in Goods and Services; CEA calculations.

U.S. export growth also benefits from changes in relative prices caused
by faster inflation in growing emerging markets because faster inflation
abroad means U.S. goods are cheaper on world markets relative to goods
from these countries. These price and growth relationships suggest that if
the United States is to double exports, an overwhelming portion of that
new export growth will come from faster-growing emerging and developing
economies. Figure 4-12 shows the share of projected growth of U.S. nominal
exports by region using IMF forecasts for GDP and price growth in different
regions. Trade with America’s traditional partners will remain important.
For example, trade with the European Union is likely still to be roughly
20 percent of U.S. exports by 2014, and growth in exports to EU countries
will be roughly 10 percent of U.S. export growth over the five-year period.
But more than 70 percent of U.S. export growth is projected to come from
Mexico, China, and other emerging and developing countries. Growth in
6 These findings are consistent with standard results on aggregate relationships across countries,
which suggest that growth of real exports increases roughly 2 percent for every 1 percent of world
real GDP growth; see Chinn (2005) and IMF (2007). In addition, one would expect U.S. export
prices to rise in fast-growing markets, so the result that nominal growth of U.S. goods exports
rose at a faster pace than the anticipated real growth is also to be expected.

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these countries and active engagement in trade with them will be essential
to meeting the Administration’s goal of doubling U.S. exports in five years.

Trade Policy
Recent economic research has focused on U.S. firm productivity
and the fixed cost of exporting as fundamental determinants of which U.S.
businesses are able to enter new markets and export successfully (Bernard
et al. 2007). Some costs to firms of market entry are well known—for
example, learning about customer-specific attributes and tailoring products
accordingly, establishing new distribution networks to reach a market, and
targeting advertising to attract those new customers. Nevertheless, U.S. businesses that seek to enter a new foreign market sometimes have to overcome
additional costs, such as foreign import tariffs. Another such cost is nontariff
barriers, including foreign requirements that the exporting firm undertake
a costly modification of its export product to fit local standards, even in the
absence of any recognized technical, safety, or customer benefit for doing so.
Appropriately tailored government policy can reduce some of the
costs that firms must incur to export to new foreign markets. In particular,
the President’s National Export Initiative includes several policy instruments aimed at reducing these costs. These instruments include negotiating
the reduction of foreign tariffs and removal of nontariff barriers to trade,
enforcing existing market access agreements, and increasing advocacy and
access to credit for U.S. exporters.

Negotiating to Open New Markets
Any import tariff in a foreign market is an additional cost to market
entry that U.S. firms must factor into their export decisions. Despite the
trade liberalization of the past few decades, U.S. exporters still encounter
substantial unevenness in the tariff treatment they receive.
For example, U.S. exporters enjoy low tariffs and open markets in U.S.
NAFTA partners Mexico and Canada. Equally important are the relatively
open markets of several high-income economies with which the United
States has partnered for more than 60 years under the WTO and the GATT
before it. As Table 4-1 shows, the European Union and Japan offer U.S.
exporters most-favored-nation (MFN) tariff rates that are on average only
moderately higher than the average rate the United States applies toward
their exports. The applied import tariffs of these high-income economies
are also quite close to their “bound” rates—that is, the upward limits that
their applied tariffs cannot legally exceed without compensation to their
trading partners. The third column of the table provides an alternative
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and more sophisticated measure of import “restrictiveness,” the overall
trade restrictiveness index (OTRI), that takes into account not only import
tariffs but also some nontariff measures and the potential responsiveness of
imports and exports (elasticities) to changes in trade barriers (Kee, Nicita,
and Olarreaga 2009); it does not take into account trade distortions caused
by undervalued exchange rates. The United States is also quite open based
on this index, but Japan’s OTRI is nearly twice as large, indicating that its
nontariff measures are an important constraint to the ability of trading partners to export to its market.
Table 4-1
Import Tariffs, Nontariff Measures, and Trade Restrictiveness, 2008
Conditions facing
exporters

Import regime
Applied MFN
Tariff (simple
average, %)
3.5
5.6
5.4

Bound MFN
Tariff (simple
average, %)
3.5
5.5
5.4

Overall Trade
Restrictiveness
Index (OTRI)
6.3
6.4
11.3

Foreign Trade
Restrictiveness
Index (MA-OTRI)
10.3
9.1
7.9

Korea
Colombia
Panama

12.2
12.5
7.2

17.0
42.9
23.5

-19.9
--

9.8
8.1
12.6

China
Brazil
India
Russia

9.6
13.6
13.0
10.8

10.0
31.4
49.0
--

9.8
20.3
18.0
19.0

9.2
12.3
8.5
4.0

Economy
United States
European Union
Japan

Notes: Russia’s tariffs are not bound because it is not a WTO member. Dashes indicate data are not
available. The most recently available year’s data are reported where OTRI and MA-OTRI for 2008 are
not available.
Sources: Tariff data from WTO (2009); OTRI and MA-OTRI from World Bank, World Trade Indicators.

There are substantial differences between the openness of these
particular high-income economies and other important U.S. trading partners, however. First, consider Korea, a country with which the United
States recently concluded negotiations on a trade agreement, as well as
Colombia and Panama, countries with which the United States is seeking
free trade agreements. Relatively high tariffs in these countries (see Table
4-1) are likely to remain in place until trade agreements negotiated with
them are ratified and implemented. Completion of these agreements has the
potential to lower and secure these import tariffs for U.S. exporters at rates
much closer to zero and also to remove many other burdensome nontariff
measures (Box 4-2). However, these gains will be realized only if the agreements address these burdensome measures in a sustainable way, which is
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why the Administration is committed to supporting only agreements that
secure serious concessions and that overall are in the interest of U.S. workers
and the U.S. economy.
Box 4-2: The Korea-United States Free Trade Agreement
In December 2010, the Administration announced the successful
resolution of the outstanding issues with the Korea-United States free
trade agreement (KORUS). The agreement is the most economically
significant free trade pact that the United States has negotiated and
signed in nearly 20 years. A study by the U.S. International Trade
Commission estimated that the agreement could boost U.S. annual
goods exports to Korea, including agriculture products and autos, by as
much as $11 billion. The agreement also includes Korean commitments
expected to result in considerable expansion of U.S. services exports.
Table 4-1 highlights why agreements like KORUS are especially
critical for the competitiveness of U.S. exporters. In its absence, U.S.
exporting firms face an average Korean import tariff of 12.2 percent;
under the agreement, this rate will eventually reach zero and will help
U.S. exports compete in Korea against Korean firms. Without KORUS,
U.S. exporters would also be at a competitive disadvantage with other
foreign competitors that also export to Korea. The European Union has
signed a similar trade agreement with Korea, scheduled to be implemented in July 2011, that would give its exports a leg up. Indeed, in
little more than 10 years, the United States has already fallen from being
the number one exporter to Korea to being the fourth-largest supplier,
trailing China, Japan, and the European Union. Implementation of
KORUS and the lowering of Korea’s tariffs toward U.S. exporters are
expected to help stem further erosion.
The KORUS may also result in changes to the composition and
source of U.S. imports. Korea’s exporters already face a relatively low
average U.S. tariff of 3.5 percent even without the agreement. KORUS
would eventually lower that rate to the level enjoyed by the United
States’ other free trade partners, including Canada and Mexico.

Second, the major emerging economies also tend to have more restrictive import regimes than the high-income economies. Economic growth in
China, India, and Brazil has surged in part because these nations lowered
their import tariffs significantly from their levels of 20 years ago. U.S. firms
have responded to those reductions by increasing exports to these new

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markets over the past 15 years, providing these economies with key goods and
services that contribute to their growth. Nevertheless, Table 4-1 indicates that
the import tariffs that remain in these economies are still relatively high.
Just as U.S. trade shows a reorientation toward emerging economies, U.S. trade liberalization negotiations have turned toward these
same emerging economies, especially through forums such as the WTO’s
Doha Round of multilateral negotiations. Dubbed the Doha Development
Agenda, the negotiations are focused in part on the power of trade liberalization to enhance the development prospects of low-income countries.
The Administration is pushing for an ambitious set of trade liberalization
commitments under the Doha Round not only to enhance opportunities for
U.S. exporters of manufactured goods, services, and agricultural products,
but also to increase opportunities for development-enhancing trade among
developing countries. Emerging economies such as China, India, and Brazil
will have a particular responsibility to further reduce and bind their import
tariffs to produce such an outcome.
The need for partners to commit to additional trade liberalization is
confirmed by evidence from the last column of Table 4-1, which reports a
separate World Bank index (the market access-overall trade restrictiveness
index, or MA-OTRI) of the average trade restrictiveness facing a country’s
exporters from all of its foreign markets combined. The index is based on
tariff levels and some nontariff measures that trading partners impose (again,
not including an undervalued exchange rate), and the importance of those
measures is weighted by the composition of the exporting country’s exports
in addition to the exporter’s and its trading partners’ responsiveness (elasticities) to trade. Lower numbers reflect fewer trade barriers confronting the
country’s exporters. By this measure, the average U.S. exporter faces trade
restrictions surpassed only by those facing exporters from Panama and
Brazil. One reason for this high index number for the United States (and
a main driver of it for Brazil and Panama) is that it is a major agricultural
exporter and agricultural trade barriers around the world remain high: they
need to be negotiated and reduced. Nevertheless, U.S. exporters face trade
barriers that are higher than they are for Japan, the European Union, and
other important competitors in global export markets. The Administration
is therefore committed to negotiating better terms for U.S. exporters to help
level the playing field. In addition to completion of free trade agreements
with Korea, as well as Colombia and Panama, and a successful conclusion
of the Doha Round, the Administration is placing increased emphasis on
persuading Asian economies to reduce trade barriers and open themselves
to U.S. exporters through the Trans-Pacific Partnership.

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Encouraging Exports by Enforcing Existing Agreements
The Administration works to increase U.S. exports through regular
engagement in bilateral and regional trade policy forums in a way that
encourages trading partners to live up to their international commitments
and obligations. These trade dialogues facilitate policy reforms, yield additional foreign market access, and level the playing field for American workers
and companies. For example, in December 2010, the Administration worked
with China through the Joint Commission on Commerce and Trade to
improve China’s intellectual property rights protection, better ensure nondiscriminatory treatment of foreign suppliers and products, and provide
fair treatment for new technologies. Similar successes are occurring through
other dialogues, notably in other emerging economies throughout Asia,
Africa, and Latin America.
Nevertheless, enforcement of existing trade agreements sometimes
means that the U.S. Government resorts to dispute settlement provisions
to resolve trade frictions, whether under a free trade agreement or more
commonly under the WTO’s multilateral auspices. The total number of
disputes the United States has filed at the WTO has declined over time,
dropping from 68 initiated between 1995 and 2000 to only 29 initiated
between 2001 and 2010. As trading partners increasingly commit to open
their markets to U.S. exporters, enforcement becomes increasingly important to ensure that trading partners live up to their agreements. Enforcement
is a fundamental role for the Federal Government; under WTO rules,
exporting firms themselves cannot challenge another country’s trade
actions. As such, U.S. Trade Representative Ronald Kirk has frequently
stated the Administration’s commitment to step up enforcement on behalf
of U.S. exporting interests.7
A growing share of the complaints the United States has filed with
the WTO is now being filed against emerging economies. As Figure 4-13
shows, nearly two-thirds of all disputes the United States brought between
2001 and 2010 were against emerging economies, up from roughly one-third
between 1995 and 2000. This increase is not surprising given the importance the United States places on maintaining current and future trade
with these emerging economies. During the 2008–09 crisis, for example,
the number of import restrictions imposed on U.S. exporters by emerging
markets increased substantially relative to those imposed by high-income
trading partners (Bown 2010). Historically, many U.S. disputes allege that
some element of a newly imposed import restriction that is obstructing U.S.
exports is inconsistent with WTO rules.
7 See, for example, his speech at Georgetown University on April 23, 2009.

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Figure 4-13
U.S. Trade Disputes at the WTO
Percent
70
1995–2000

60

2001–2010

50
40
30
20
10
0

U.S. complaints
against emerging markets

Emerging-market complaints
against the U.S.

Notes: Percentages are for the number of disputes initiated during the period. Disputes are
broken down into bilateral (respondent/complainant) pairs.
Sources: WTO (2010); CEA calculations.

At the same time, as Figure 4-13 indicates, the share of disputes
filed against the United States by foreign exporters in emerging economies
attempting to protect their access to the U.S. import market has also grown.
Because an increasing share of U.S. imports derives from emerging markets,
these economies are now the most frequent challengers to U.S. trade policy.
Two additional points regarding the U.S. Government role in WTO
disputes are worth highlighting. First, use of the WTO dispute resolution
mechanism represents attempts to resolve differences between trading
partners through rulings based on the application of agreed international
trade rules. During 1995–2000, when more U.S. exports were destined for
high-income economies, most U.S. disputes filed at the WTO were lodged
against these economies, even though they were and continue to be strategic
allies. The process was designed to prevent trade issues from escalating in a
manner that would increase barriers to international trade.
Second, despite the growing importance of enforcement to keep
foreign markets open to U.S. export interests, the U.S. Government’s
enforcement role has become ever more complex. The production process
of many goods is increasingly fragmented into supply chains that cross
international borders. As a result, domestic stakeholders often have varied
interests with respect to the issues that may arise in a particular dispute.
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Chapter 4

When the U.S. exporter facing a new foreign trade barrier is also a multinational firm with significant affiliate activity in that foreign market, that
firm may be hesitant to publicly support U.S. Government actions to have the
trade impediment removed. The company could face many forms of reprisal
from the foreign government in ways that the U.S. Government is legally
unable to help fight and that may cost the company more than it loses under
the trade restriction. The complexities facing U.S. enforcement of the rights of
U.S. exporters and the interests of the U.S. workforce are likely to continue to
escalate as technology improves, transport costs continue to fall, and production processes continue to be integrated among operations in various nations.

Advocacy to Encourage Exporters, Credit, and Trade Facilitation
Part of the fixed cost of exporting can be learning about a market or
making the necessary investments in building relationships. In many cases,
the Federal Government may already have that information and can thus
lower the cost of exporting by sharing it. As such, several WTO-consistent
policies may help boost the visibility of U.S. exports, especially those
produced by small- and medium-size firms, and lower the hurdle that each
firm faces in entering new markets.
One approach, contained in the President’s National Export Initiative,
is for the U.S. Government to improve advocacy abroad. For example, trade
fairs can showcase export-ready enterprises that may be too small or too
young to be a part of the larger industry associations that often organize
promotions. Advocacy could also involve better support from consular
offices abroad, such as providing exporters with contacts and buyer-seller
information.
The government can facilitate trade by offering trade credit to match
the terms available to firms in other countries. Investments in the U.S.
transportation and supply chain infrastructure are critical to enabling U.S.
exporters to move their goods to ports quickly and inexpensively. The
Administration is also committed to negotiating agreements on trade facilitation abroad so that U.S. exports can be shipped to foreign customers more
efficiently. At an even more basic level, the Government, through the Small
Business Administration, the Export-Import Bank, or the International
Trade Administration, can work with U.S. firms (especially small businesses) to help them navigate the process of exporting.
In the end, the decision whether to export to a given country is
a private market decision made every day by thousands of U.S. firms.
Nevertheless, the National Export Initiative sets out an ambitious agenda by
which the Federal Government can play a more constructive role for U.S.
businesses and their workforce.
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Conclusion
As the United States orients its economy toward more exports and
more investment, growth in exports will be determined by U.S. interactions
with a complex and changing world economy. Trade relationships of today
look little like those of 50 years ago, when different countries led the world
economy and played leading roles in U.S. trade. Recognizing those changes
and engaging constructively with the world as it is today can be a significant
source of growth for the U.S. economy for decades to come.

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C H A P T E R

5

HEALTH CARE REFORM

O

n March 23, 2010, President Obama signed into law landmark legislation that extends health insurance coverage to millions of uninsured
Americans, ensures the security and affordability of coverage for many
more, and reduces the Nation’s budget deficit. The Affordable Care Act
is the latest chapter in nearly a century-long history of efforts to ensure
comprehensive health insurance coverage for more Americans.1 At the same
time, the new law marks an important new chapter in the quest for high
value in health spending. For decades, the policy problem posed by millions
of uninsured Americans has overshadowed the underlying economic challenge of how to control health care costs while preserving the high quality of
the American medical care system. In addition to extending coverage to the
uninsured and reforming insurance markets to ensure that Americans with
pre-existing conditions have access to affordable coverage, the Affordable
Care Act introduces a framework for moving the medical care system
toward higher-value care.
Broadly, the Affordable Care Act controls costs and improves quality
by strengthening physician and hospital incentives to improve the quality
of care and provide care more efficiently. These delivery system reforms
are paired with coverage reforms that create new coverage options through
competitive state marketplaces for insurance, ensure access to affordable
coverage through the provision of tax credits for small businesses and
individuals, and put in place individual and employer responsibility requirements. Over the next decade, these reforms are expected to expand coverage
to 32 million Americans, make health care more affordable, and improve the
quality of care.
1 We use the term “Affordable Care Act” to mean the Patient Protection and Affordable Care
Act (P.L. 111-148, enacted March 23, 2010) and the provisions of the Health Care and Education
Reconciliation Act of 2010 (P.L. 111-152, enacted March 30, 2010) that are related to health care.

111

Many reforms that afford significant protection to consumers have
already taken effect (Box 5-1). These reforms, in conjunction with those
that will go into effect in a few years’ time, provide Americans with unprecedented security, giving individuals and families freedom from worry about
losing their insurance or having their coverage capped unexpectedly when
they are sick. The Affordable Care Act also represents a significant tax cut
for individuals and businesses purchasing health insurance; already, many
small business owners who provided insurance to employees in 2010 are
eligible for tax credits to offset the cost of this coverage, helping them make
new hires and strengthening our economy. Beginning in 2014, additional
tax credits for individuals and households will help millions of middle-class
Americans afford health insurance. As a result of the Affordable Care Act,
1.2 million young adults up to age 26 now qualify for insurance under their
parents’ health plans. The Affordable Care Act also provides new benefits to
America’s seniors, improving the coverage of preventive care in Medicare
and lowering the cost of prescription drugs under Medicare Part D by
closing the “donut hole.”
The Affordable Care Act is also fiscally responsible. The Congressional
Budget Office has estimated that the law will reduce projected deficits by
$230 billion during 2012–21 and by more than $1 trillion in the subsequent decade. The Affordable Care Act improves the financial status of
the Medicare program by extending the solvency of the Hospital Insurance
Trust Fund by 12 years. It provides unprecedented new authorities for
fighting fraud, thus potentially returning hundreds of millions of dollars to
the Medicare trust funds.
This chapter offers an economic analysis of how the Affordable Care
Act will achieve the long-run goals of expanding coverage and making health
care affordable once its major provisions take effect in 2014. The discussion
is not meant to be exhaustive, and it necessarily excludes many parts of the
law.2 The focus is on the major provisions to promote value in the delivery
of medical care and to expand insurance coverage. The measures aimed at
controlling costs focus on promoting the provision of high-value medical
care and improving the quality of care provided. Measures that expand
coverage rely primarily on private markets. In both areas—controlling costs
and expanding coverage—the discussion highlights the imperfections in
markets for medical care and health insurance that are addressed by the
Affordable Care Act. The aim is to explain how these policies work with,
rather than against, the underlying economic forces that drive consumers
and firms.
2 Significant investments in health care workforce development and in community health centers
are just a few important elements of the reform bill that this chapter does not discuss.

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Box 5-1: Early Provisions of the Affordable Care Act
Although some of the Affordable Care Act’s major provisions—
such as the Health Insurance Exchanges and health insurance premium
tax credits for individuals and families—do not go into effect until 2014,
many provisions take effect much sooner, expanding coverage and
making care more affordable.
Effective within 100 days of enactment
• The Pre-Existing Condition Insurance Plan provides coverage
to individuals with pre-existing conditions who would otherwise be unable to obtain coverage.
• The Early Retiree Reinsurance Program helps employers with
the cost of providing health insurance coverage for early retirees
with unusually high medical spending.
• Rebate checks for $250 go to eligible beneficiaries to help close
the Medicare Part D coverage gap (the “donut hole”). The
donut hole will be eliminated entirely by 2020.
• A Web portal—www.HealthCare.gov—enables consumers to
search for the best plan for their needs at the lowest cost.
• A Small Business Health Care Tax Credit offsets the costs of
offering health insurance for small firms with low-wage workers
(applies to tax years beginning on or after January 1, 2010).
Effective for insurance plan years beginning six months after
enactment
• Consumer protections prohibit insurance industry practices
such as rescinding coverage, imposing lifetime caps on benefits,
imposing unreasonable annual dollar limits on essential health
benefits, and denying coverage for children based on preexisting conditions.
• 
Private insurance plans covering dependent children must
provide coverage for adult children up to age 26 on a parent’s
plan.
• New private insurance plans must provide 100 percent coverage
with no additional out-of-pocket costs for preventive care and
medical screening, such as smoking cessation programs and
blood pressure screening in adults, given an A or B rating by the
U.S. Preventive Services Task Force.

Health Care Reform | 113

Addressing the Rising Cost of Medical Care
Trends in Aggregate Health Spending
Health care spending has increased dramatically over the past halfcentury, both in absolute terms and as a share of gross domestic product
(GDP) (Figure 5-1), placing increasing pressure on household finances,
government budgets, and businesses’ bottom line. Total spending in the
U.S. health care sector was $2.5 trillion in 2009, representing 17.6 percent of
GDP—almost twice its share in 1980.
Figure 5-1
GDP and Health Spending
Trillions of dollars
16

Percent
18
16

14

14

12

Health spending as a
share of GDP (right axis)

10

12

GDP
(left axis)

8

10
8

6

6

4

4

Health spending
(left axis)

2

2
0

0
1960

1967

1974

1981

1988

1995

2002

2009

Sources: Centers for Medicare and Medicaid Services, National Health Expenditure
Accounts; Bureau of Economic Analysis, National Income and Product Accounts.

These trends have given rise to concern that the Nation cannot sustain
such high spending growth and must “bend the curve” of health spending.
The challenge is to do so by transforming the Nation’s health care system
so that it rewards providers for delivering high-quality, high-value care
and discourages the provision of low-quality, low-value care. Meeting that
challenge is a much more complex task than simply slowing the growth of
spending, but the benefits of a system that delivers high-value care are much
greater than the benefits of one that simply delivers low-cost care.

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Technological Change and Increases in Health Spending
Most health economists agree that increases in health spending are
driven largely by the breathtaking pace of technological innovation in health
care. The question is whether the benefits of these new technologies are
worth their high cost. Economists have thought about that question in two
different ways and have generally concluded that these technological breakthroughs are absolutely worth the cost.
The first approach is to estimate directly the costs and benefits associated with increases in health spending. Recent economic analyses of this
kind confirm that the advance of technology in medicine is indeed “worth
it” in terms of health benefits provided (Cutler and McClellan 2001; Cutler,
Rosen, and Vijan 2006). Murphy and Topel (2006) estimate that discovering
a cure for cancer, for example, would be worth about $50 trillion; a breakthrough that lowers cancer mortality permanently by even 1 percent would
be worth almost $500 billion.
A second approach involves opportunity costs: what are we giving up
to be able to spend so much on medical care? In this context, it is important
to keep in mind that spending on health has risen during a period of overall
economic growth. Health may be a “superior good” in the economic sense
that as GDP rises, more and more resources go to health because other material needs are largely satisfied. Hall and Jones (2007) use a personal analogy:
“[A]s we get older and richer, which is more valuable: a third car, yet another
television, more clothing—or an extra year of life?” In fact GDP has grown
so much over the past 50 years that increases in health spending, as large as
they have been, have generally not reduced spending on nonhealth items.
Rather than falling, real per capita spending on all nonhealth items more
than doubled between 1960 and 1999 (Chernew, Hirth, and Cutler 2003).

Market Imperfections and Increases in Health Care Spending
Although increased spending on health delivers tremendous benefits on average, some medical spending is almost certainly of low value.
Economists often attribute some of this low-value spending to a phenomenon known as moral hazard: at the point of service, most insured
consumers pay only a fraction of the cost of their care, which gives them
reason to opt for more, and sometimes less effective, care than they would
choose if they were paying the full cost themselves. Unavoidably, the protection that insurance affords households against the risk of catastrophically
high medical spending carries with it the “side effect” of some unnecessary
spending (Pauly 1968).

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The market for medical care also suffers from multiple information
problems that contribute to rising costs. The first is incomplete information:
simply put, there is considerable uncertainty for all—patients and providers
alike—about the effectiveness of different medical treatments. And information in the medical care market is not only incomplete but also asymmetric.
Patients know much less than providers (doctors and hospitals) do about
what treatment is appropriate for a particular condition. Third-party payers
such as insurance companies and state or Federal Government programs
are also at an informational disadvantage relative to providers. These information asymmetries give rise to a principal-agent problem in which the
less-informed party or “principal”—in this case, either the patient or the
third-party payer—would like to hire the better-informed party or “agent”—
in this case, the provider—to provide treatment but cannot be sure what to
ask the provider to do or how much the provider should be paid. The result
is that some health spending yields low value.
According to economic theory, one way to mitigate the principalagent problem is to structure incentives so that it is in the interest of the
agent to do what is best for the principal. Commissions, for example, give
sales associates an incentive to work hard in situations where a supervisor
might not be able to monitor their effort directly. In medical care, the challenge is to design payment mechanisms that reward providers for delivering
high-quality, high-value care and discourage them from providing lowquality, low-value care while continuing to ensure that patients have control
over their care and are never denied the care they need, expect, and deserve.
As noted, the task is much more complex than simply reducing spending,
but the potential benefits of having a system that delivers high-value care
are tremendous.

How the Affordable Care Act Promotes High-Value Medical Care
Designing reimbursement systems that reward high-value care,
discourage low-value care, and put patients in control represents a key
challenge for reform. In addition, what may be high-value care for one
individual may not be for another, because the efficacy of treatments may
vary with an individual’s characteristics. Rather than imposing a single
solution to promoting high-value care—one that might get it wrong—the
Affordable Care Act approaches the task from three different directions to
create the conditions under which the right answers will emerge. It invests
in better information about what treatments work best, while ensuring that
all treatment options remain available to patients. It experiments with new
approaches to delivering and paying for care. And it empowers patients to
make informed decisions about their providers and their care.
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Better Information about What Works: The Patient-Centered
Outcomes Research Institute. The Affordable Care Act supports research
through a private, not-for-profit Patient-Centered Outcomes Research
Institute, governed by a multistakeholder group and expert advisory
panels, whose task is to identify priorities for research. The Institute will
continue the work of the Federal Coordinating Council for Comparative
Effectiveness Research created by the American Recovery and Reinvestment
Act in February of 2009. The Institute’s research findings cannot be used to
mandate coverage or reimbursement policy. The information the findings
provide will enable patients, providers, employers, and insurers to choose
high-value care.
New Approaches to Delivering and Paying for Care. The Affordable
Care Act includes a host of new programs and demonstration projects
designed to identify effective ways to encourage the provision of high-value
care. Two illustrative examples are “bundled payments” and a delivery
system reform that reduces hospital-acquired conditions.
Bundled payments are one-time reimbursements to providers for the
costs of treating a patient’s condition across multiple settings. For example,
the hospital, the cardiologist, the primary care physician, and any other caregiver for a patient undergoing coronary artery bypass graft surgery would
receive one payment. Bundled payments create incentives for providers to
coordinate care and keep to a minimum any treatments that are of little or
no value. Providers who keep patients healthy, and thus spend less, make a
profit, and those who spend more lose money. The approach builds on the
success of Medicare’s inpatient prospective payment system, introduced
during the 1980s, which has been adopted by many private insurance
companies.
Hospital-acquired conditions (HACs) are generally avoidable health
problems caused by medical treatment; they are considered indicators of
poor-quality care. Examples include surgical site infections and urinary tract
infections associated with catheters. Since 2008, Medicare has not reimbursed
most hospitals for costs associated with treating these conditions in hospitalized patients. The Affordable Care Act increases the incentive to prevent
these conditions by reducing Medicare reimbursement for all conditions in
hospitals that have high rates of HACs and by extending the nonpayment
policy to the Federal share of the Medicaid program. These changes will
reduce Federal health spending through Medicare and Medicaid and will
provide a roadmap to reduced spending for private insurers and employers.
They also create a high-powered incentive for hospitals to prevent these
conditions in the first place. The result—lowering spending and improving
patient outcomes—is a classic win-win solution.
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Bundled payments and nonpayment for HACs are just two examples
of Affordable Care Act delivery system reforms that will result in higher
value for patients; other promising reforms include Accountable Care
Organizations and a program that reduces Medicare payments to hospitals
with relatively high rates of preventable readmissions. In this same area, the
Affordable Care Act also establishes the Center for Medicare and Medicaid
Innovation (also known as the Innovation Center), which will identify,
test, disseminate, and evaluate new models of delivering and paying for
care. The Innovation Center will ensure that Medicare and Medicaid have
the flexibility to test new incentive and delivery systems to keep pace with
technological innovation in medical care. It will also seek to enlist the
participation of private third-party payers to align provider incentives and
accelerate the adoption of successful delivery system models.
Better Information on Provider Quality. One more way to drive the
system to high-value care is to empower patients with better information
on provider quality. The Affordable Care Act creates a quality-reporting
program for physicians that will collect performance data on physicians who
participate in Medicare and publish it on a Web site similar to the existing
Hospital Compare and Nursing Home Compare Web sites. Research has
shown that quality report cards influence consumer choice in health care
and lead to higher-quality care (Bundorf et al. 2009; Mukamel et al. 2008;
Werner, Stuart, and Polsky 2010). Reimbursement mechanisms that explicitly reward quality will be reinforced by patients “voting with their feet” in
response to information on the quality of their providers.

Improving the Health Insurance Market
The ranks of the uninsured have grown steadily in the United
States over the past decade, as shown in Figure 5-2. Almost 51 million
Americans—16.7 percent of the population—lacked health insurance
coverage in 2009 (DeNavas-Walt, Proctor, and Smith 2010). An increasing
body of credible evidence has documented that being uninsured has negative consequences for health, access to medical care, and financial security
(Asplin et al. 2005; Card, Dobkin, and Maestas 2009; Cooke, Dranove, and
Sfekas 2010; McWilliams et al. 2004). The failure of the United States—
unlike other industrialized nations—to ensure access to basic care for all
its citizens, together with our Nation’s continuing mediocre record on
measures such as life expectancy and infant mortality, compared with other
industrialized nations, has made the need for reform increasingly urgent.

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Figure 5-2
Percent of Americans Uninsured
Percent
18
17
16
15
14
13
12
11
10
2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

Source: DeNavas-Walt, Proctor, and Smith (2010).

Problems in the Market for Health Insurance
Complicating the policy problem posed by the many uninsured
Americans are long-standing market failures in the individual and small
group health insurance markets. The most important such market failure
is adverse selection. In the context of health insurance, adverse selection
means that individuals or families with poorer health and thus high expected
medical spending are more likely than their healthier counterparts to buy
coverage at a given price. The selection of more high-cost people into
coverage triggers a vicious cycle. To cover the health needs of this costly
group, the insurer raises the premium, generating still more adverse selection into coverage. In the extreme case, the market simply does not function.
In practical terms, some people are uninsured because the only policies
available to them do not seem to be a good deal (although they might be
a good deal for someone in worse health). Many more people pay higher
prices than they should in order to get coverage at all.
A second failure contributing to dysfunction in health insurance
markets is the problem of missing markets; in particular, there is no market
for multiyear health insurance contracts that would protect individuals
throughout their lives from the risk of becoming sick and having to pay
much higher insurance premiums or lose their coverage altogether. The
missing market problem contributes to multiple inefficiencies. Individuals
Health Care Reform | 119

with high medical spending may be “locked in” to a policy for fear that
their premiums will increase if they change their coverage, particularly in
the individual market. The decision not to seek new coverage may reduce
competition in health insurance markets. Labor markets too suffer negative
consequences when workers who want to change jobs—especially entrepreneurs who want to start new businesses—stay in their old jobs for fear of
losing insurance.
Health insurance markets are also characterized by the high search
costs they impose on consumers. Largely unaided, consumers must gather
and evaluate comparative information about the prices and quality of an
array of complex health insurance plans. The high cost of conducting that
search reduces competition and may result in prices that are higher than
the competitive level. One effective way to reduce search costs is through
information systems that assist consumers in comparison shopping. In the
market for life insurance, for example, greater use of price comparison Web
sites has led to substantial reductions in premiums and gains in consumer
surplus (Brown and Goolsbee 2002). For reasons that are not entirely clear—
but may be related to the multiple other market failures—health insurance
markets have been slow to adopt these innovations.
Health insurance markets are also highly concentrated; in all but
four states, the three largest insurers control half of the market or more
(Robinson 2004). Such concentration raises the possibility that insurers
may have market power to set prices above the competitive level, and recent
evidence suggests that increased concentration leads to higher premiums,
consistent with that possibility (Dafny, Duggan, and Ramanarayanan 2010).
A final market failure is the “Samaritan’s dilemma”; because hospitals and other health care providers offer charity care, some people do not
purchase insurance (Coate 1995). Indeed, multiple studies document that
the availability of charity care reduces the rate of private insurance coverage,
suggesting that there is some “free riding” on the system (Herring 2005; Rask
and Rask 2000).

How the Affordable Care Act Addresses the Insurance Market Failures
Exchanges. The Affordable Care Act extends insurance coverage to
the uninsured and makes insurance markets work more effectively for those
who already have coverage. To achieve these goals, it establishes Health
Insurance Exchanges, organized marketplaces in every state that enable
individual consumers without access to affordable employer-sponsored
coverage to shop easily for coverage and receive any tax credits or reduced
cost-sharing for which they are eligible. The Affordable Care Act also establishes Small Business Health Options Program (SHOP) Exchanges, similar
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marketplaces in each state for small group coverage. Private insurance
companies will offer plans for sale through the Exchanges beginning in 2014.
Beginning in 2017, states can choose to expand their Exchanges to larger
employers as well.
Minimum Benefits and Coverage Tiers. Every plan available in these
marketplaces must include a specified set of minimum essential benefits
and will be categorized as platinum, gold, silver, or bronze depending on
the extent of consumer cost-sharing. For platinum coverage—the most
comprehensive—on average, consumers will pay only 10 percent of the
cost of covered services as cost-sharing at the point of service. Consumers
who choose this option can expect to pay a higher premium up front for
the increased cost-sharing protections. The next three types of coverage—
gold, silver, and bronze—feature progressively higher point-of-service
cost-sharing corresponding to 20 percent, 30 percent, and 40 percent of the
total cost of covered services. Consumers can expect to pay lower premiums
up front for these categories of coverage, with bronze plans being the least
expensive.
Online Choice Tools. Online tools will enable consumers to choose
coverage based on the characteristics that are most important to them:
premium costs, cost-sharing, or plan quality ratings, for example. The
HealthCare.gov Web portal, which launched on July 1, 2010, is one such
tool. Beginning in 2014, Exchanges will leverage these technologies to allow
consumers to make informed choices among multiple plans. The Affordable
Care Act has already provided states $49 million in funding to plan and
develop their Health Insurance Exchanges, including information technology systems that will enable consumers to search for plans that best suit
their needs and preferences.
Tax Credits for Premiums. Beginning in 2014, individuals and families without access to adequate, affordable coverage will receive tax credits
for premiums purchased in the Exchange. These tax credits, which are
available to households with incomes between 100 and 400 percent of the
federal poverty level, limit the amount that an individual or family must pay
for health insurance coverage as a share of household income.3 The income
share ranges from 2 percent for families at the low end of the eligibility
threshold to 9.5 percent for those at the upper end. Some families eligible
for a premium tax credit also receive cost-sharing assistance that limits their
out-of-pocket spending at the point of service.

3 The Federal poverty level in 2011 is $22,350 for a family of four living in the contiguous 48
states or the District of Columbia; 400 percent of the poverty level for such a family would be
$89,400.

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Coverage Responsibility. Creating Health Insurance Exchanges and
developing online choice tools are significant steps toward making individual
and small group health insurance markets more competitive, transparent,
sensible, and affordable. By themselves, however, these steps do not address
the critical problem of adverse selection. Correcting that market failure
requires changing the current practices of both insurers and consumers. To
that end, the Affordable Care Act provides a new protection for consumers
called “guaranteed issue,” which prohibits insurers from denying coverage
to anyone who wants to buy it. The law also prohibits insurers from charging
higher premiums for individuals in poor health. For their part, consumers
who can afford coverage are required to have coverage or pay a penalty,
except for specified exemptions such as individuals with religious objections.
Any remaining incentives that insurers may have to try to attract healthier
consumers will be offset through risk adjustment that transfers payments
from insurers with relatively healthy enrollees to those with sicker enrollees.
This framework largely solves the adverse selection problem.

Employers and the Affordable Care Act
Most employers already offer health insurance; 95 percent of employers
with 50 to 199 employees and 99 percent of employers with 200 or more
employees do so (Kaiser Family Foundation and Health Research and
Educational Trust 2010). The Affordable Care Act imposes financial penalties of approximately $2,000 per full-time worker on the very few employers
with 50 or more workers who do not offer coverage if their workers obtain
premium tax credits for the purchase of coverage in an Exchange. The first 30
full-time employees are exempt for purposes of this calculation. Fewer than
10,000 firms, or 0.2 percent of American businesses, are likely to be affected
by the penalty. Small employers (those with fewer than 50 workers) face no
such penalties. On the contrary, the Affordable Care Act includes a tax credit
to help businesses with fewer than 25 full-time workers and average annual
wages below $50,000 afford health insurance for their workers, as described
in Chapter 7. Together with the SHOP Exchanges described above, which
allow small employers to join a larger pool of buyers and purchase coverage
that has the same fair prices and low administrative cost that large employers
have historically enjoyed, this tax credit will level the playing field for small
and large employers in the area of health benefits.

Expanding Medicaid
In addition to expanding private coverage through the Exchanges,
the Affordable Care Act expands public coverage. Specifically, it extends
Medicaid eligibility to all individuals in families with incomes at or below
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133 percent of the Federal poverty level. Expanding Medicaid eligibility
provides a critical coverage option for the most economically vulnerable citizens. The Affordable Care Act also allocates resources to states to offset their
added costs for newly eligible individuals (100 percent of the costs for the
first three years, phasing to 90 percent permanently). The Administration
has also proposed additional resources that will help states design and implement streamlined enrollment systems to make obtaining health insurance a
seamless process.

Conclusion
In the end, the Affordable Care Act will benefit both those who now
have health coverage and those who are uninsured. The more than 30
million uninsured Americans who will gain insurance coverage will reap the
benefits of longer life and better health conferred by innovations in medical
technology. The newly insured will also enjoy relief from the economic insecurity of lacking coverage; no longer will American families have to worry
about being one illness away from bankruptcy. Americans who are now
insured will benefit from lower premiums because they will no longer pay a
“hidden tax” associated with the costs of providing uncompensated care to
the uninsured. They will enjoy greater security of coverage because the law
prevents insurance companies from canceling their coverage unexpectedly
if they are in an accident or become sick. The insured will also be free from
the worry that they will exhaust the limits of their coverage, because the new
law prohibits annual and lifetime coverage limits. And the law ensures that
they will have 100 percent coverage for important preventive care services
with no additional out-of-pocket costs.
Insurance market reforms and the new Exchanges will make it
possible for all Americans who lack access to employer-based insurance to
obtain coverage, and thus feel greater economic security, during periods of
labor market transition or instability. The Affordable Care Act will smooth
the transition from school to work for young adults, who have historically
been uninsured at very high rates. The law will also mitigate the consequences of job loss because losing a job will no longer entail losing all access
to affordable insurance.
Moreover, the Affordable Care Act levels the playing field for small
employers, who will be able to compete for workers by offering benefits that
are comparable in price and generosity to those offered by large employers.
Potential entrepreneurs will be able to pursue their dreams without having
to worry about where they will get health insurance at a fair price, thus
tapping new reserves of creativity for the American economy. And all

Health Care Reform | 123

employers—large, small, and in-between—will benefit from reduced uncertainty about health spending as a result of the larger and more stable private
insurance pool that the Affordable Care Act will create. Reforming insurance markets will transform American business in subtle but far-reaching
ways, improving the bottom line for both workers and employers.
The benefits of delivery system reform will be even more widely
shared. Improvements in health care quality, such as reductions in hospitalacquired conditions, should, within just a few years, yield measurable
benefits that will touch the lives of most, if not all, Americans. The transition to a uniformly high-quality, high-value system of medical care will take
longer, but by improving the quality and value of health care while freeing
up resources that can be used for other productive purposes, will lay the
foundation for future economic growth.

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C H A P T E R

6

TRANSITIONING TO A
CLEAN ENERGY FUTURE

A

merican prosperity depends on a continuous supply of safe and reliable energy. Energy heats, cools, and lights homes and businesses;
transports workers to jobs, customers to stores, and families to relatives;
and runs the factories that manufacture the goods Americans consume and
export. It is increasingly clear, however, that existing energy supplies pose
risks to national security, the environment, the climate, and the economy.
To counter those risks, while recognizing the continued importance of safe,
responsible oil and gas production to the economy, the Administration is
committed to moving the Nation toward use of cleaner sources of energy
with the potential to support new industries, exports, and high-quality jobs;
to improve air quality and protect the climate; and to enhance America’s
energy security and international competitiveness.
A future with cleaner energy sources promises numerous benefits.
Innovation in cleaner energy will reduce U.S. dependence on oil—over half
of which is imported—decreasing the vulnerability of the U.S. economy to
supply disruptions and price spikes (Box 6-1). Cleaner energy will improve
the quality of the air American families breathe, because energy use accounts
for the vast majority of air pollution such as nitrogen oxides, sulfur dioxide,
and carbon monoxide. Cleaner energy is essential for the United States to
make progress toward its pledge, as part of the United Nations Climate
Change Conferences in Copenhagen and Cancun, to cut carbon dioxide
(CO2) and other human-induced greenhouse gases by roughly 17 percent
below 2005 levels by 2020, and to meet its long-term goal of reducing emissions by more than 83 percent by 2050. Finally, supported by well-designed
policies, clean energy can make an important contribution to America’s
ability to compete internationally using innovative new technologies, while
also having ancillary economic benefits like lower risks from accidents at
coal mines and oil wells.

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Box 6-1: Energy Security Benefits of Reduced Oil Consumption
Combustion of all fossil fuels generates pollution to varying
degrees. But because more than half of the petroleum consumed in the
United States is imported, it creates an additional set of costs for the
American economy.
First, although 20 percent of U.S. imports come from Canada,
America’s biggest supplier, many of the most accessible reserves are
concentrated in unstable regions, leading to fears of supply-related
world price fluctuations. The risk may have declined over time, because
the U.S. economy has become less energy intensive and the Strategic
Petroleum Reserve is now filled to capacity with 727 million barrels of
crude oil—more than two months of net imports. Nevertheless, petroleum still plays a key role in the United States, accounting for 37 percent
of energy use and over 7 percent of personal consumption expenditures.
The second cost relates to the missed opportunity for the United
States to lower world oil prices by decreasing its own demand for oil.
Because the United States is the world’s largest consumer of crude
oil, decreased U.S. demand results in lower world prices. Lower prices
benefit petroleum purchasers and harm petroleum producers, with no
overall global benefit. Because the United States is a net importer, the
offsetting effects would on balance favor U.S. interests.
The third component of the energy security cost of oil involves
policy expenses borne by U.S. taxpayers. Among such expenses are military costs associated with protecting oil supply routes and maintenance
costs of the Strategic Petroleum Reserve.
The Environmental Protection Agency and the National Highway
Traffic Safety Administration estimated that the fuel economy and
greenhouse gas emissions standards for cars and light trucks, issued in
May 2010, have energy security benefits of $7 a barrel of oil in saved
macroeconomic disruption costs in 2015 (in 2009 dollars), or about
$0.16 a gallon of gasoline. This estimate depends on predictions about
future oil prices, supply disruptions, OPEC behavior, and the elasticities of global oil supply and demand. The estimate does not include the
demand-side market power benefit, which represents a transfer from
exporters to importers. Nor does it include the U.S. policy expenses,
because it is difficult to know how much of them to allocate to an incremental change in oil consumption. By comparison, one U.S. government
estimate of the global social cost of the CO2 emissions associated with
one barrel of oil is $9.52 in 2010, going up to $20 in 2050 (Box 6-4).

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These same security, environmental, and economic risks confront all
the countries of the world to varying degrees. And many, like the United
States, have embarked on efforts to transition to cleaner sources of energy.
As a consequence, the clean energy sector is likely to be a vibrant source
of innovation, growth, and international trade worldwide. Innovation is
an engine of the American economy and a key to long-term job creation
and economic growth. Those nations that invest first, and whose transition
efforts are most successful, are likely to lead the world in exporting equipment and expertise as the rest of the world’s countries seek the same secure,
clean, affordable energy. The number of clean energy patents worldwide
grew about 20 percent per year from 1997 through 2007, and the United
States was home to 18 percent of the clean energy patents issued between
1988 and 2007, behind Japan with 30 percent (UNEP, EPO, and ICTSD
2010). The Obama Administration’s commitment to clean energy represents
an effort to ensure that the United States does not slip behind but instead
leads the world in this critical sector.
The benefits of transitioning to clean energy—energy security, cleaner
air, fewer risks from climate change, and enhanced economic competitiveness—are enjoyed by everybody, not just the producers or consumers of
the clean energy. As a consequence, the benefits are not fully represented
in market prices. Examples of these benefit spillovers abound. Clean energy
innovators reap only part of the overall rewards for their efforts—the rest
spill over to others who build on their work. The payments that solar and
wind power generators receive for the electricity they supply do not reflect
the benefits that spill over to the rest of the economy. Energy users reap
only part of the benefits from weatherizing their homes and driving electric vehicles. These spillover benefits are substantial. A peer-reviewed report
prepared by the EPA estimates that for the year 2010 alone, the Clean Air Act
Amendments of 1990 yielded net benefits of $1.2 trillion—everything from
lives saved to healthier kids to a more productive workforce (EPA 2010). These
spillovers mean that market rewards for switching to clean energy production
are lower than the societywide benefits, market costs of switching to clean
energy consumption are higher than the societywide costs, and markets alone
provide less clean energy than is optimal.
Because there are many types of clean energy benefit spillovers, the
path to a clean energy future includes many possible policies. Existing
fossil fuel consumption can be made cleaner by increasing the efficiency of
combustion, by capturing and sequestering CO2 emissions, or by switching
within the fossil fuel sector to lower-emitting natural gas. Cleaner fossil
fuel technologies and nonfossil sources of energy, such as wind, solar,
geothermal, natural gas, and nuclear power, can supply a larger share of
Transitioning to a Clean Energy Future | 127

the Nation’s energy consumption with the help of a Federal Clean Energy
Standard. Energy use by homes and vehicles can become more efficient.
And more energy-efficient technologies, some of which may have yet to be
discovered, can be supported as they are developed and brought to market.
Transitioning to a clean energy future and progressing toward America’s
carbon pollution reduction goals will be best accomplished by pursuing costeffective, well-coordinated public policies.
This chapter highlights some of the important steps the Administration
has already taken or is proposing to take to ensure that the economy makes
the important transition to clean energy. The list of policies discussed here
is not exhaustive but rather serves to demonstrate the economic rationale
that motivates ongoing work on these programs. The policies include
assisting with residential and commercial energy efficiency; increasing
vehicle efficiency; increasing the share of electricity generated by clean
sources; recording, reporting, and accounting for the cost of greenhouse gas
emissions; funding transportation infrastructure including expanded transit
and high-speed rail; assisting with manufacturing and adoption of electric
vehicles; and providing incentives for clean energy research and development (R&D).

Initial Steps Toward a Clean Energy Economy
The Administration’s first task in January 2009 was to end the deepest
recession since the 1930s, and while doing so, it made major initial investments to help turn the economy in a new, cleaner direction. Many of those
initiatives were integral to the recovery effort; others were distinct but
concurrent.

Energy Investments in the Recovery Act
The American Recovery and Reinvestment Act (Recovery Act)
directed about $800 billion in Federal expenditures and tax relief to investments and job creation, with a primary objective of reversing the collapsing
economic conditions of early 2009. As part of that effort, the law contained
over $90 billion in public investment and tax incentives targeted at
increasing sources of clean energy and reducing America’s dependence on
fossil fuels (Box 6-2).
These clean energy investments directly targeted the beneficial spillovers that provide an economic rationale for promoting clean energy. One
example is the Recovery Act funds directed to the Weatherization Assistance
Program. The funds helped retrofit more than 300,000 low-income homes
by the end of November. A recent study by the Oak Ridge National
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Laboratory estimated that the annual average savings for homes weatherized
by the program include $437 in heating and cooling costs and 2.65 tons of
reduced CO2 emissions (Eisenberg 2010). Another example of Recovery Act
spending targeted at home energy efficiency is the Smart Grid funds that
electric companies are using to test various types of electricity metering,
enabling customers to monitor and adjust their electricity use to save power
and money. Still other Recovery Act investments in transit, electric vehicles,
and high-speed rail create construction jobs and will provide energy savings
and other benefits to Americans for generations.
Box 6-2: Clean Energy Investments in the Recovery Act
The more than $90 billion in Recovery Act expenditures aimed at
reducing American fossil fuel use fell into eight categories:
• $30 billion for energy efficiency, including retrofits for lowincome homes
• $23 billion for renewable generation, such as wind turbines
and solar panels
• $18 billion for transportation and high-speed rail
• $10 billion for Smart Grid technologies to improve the
efficiency of electricity use and distribution
• $6 billion for domestic production of advanced batteries,
vehicles, and fuels
• $4 billion for green innovation and job training
• $3 billion for carbon capture and sequestration
• $2 billion in clean energy equipment manufacturing tax credits
As an example of the programs that make up these categories, the
top category, energy efficiency, includes the following:
• $5 billion for the Weatherization Assistance Program
• $3.1 billion for the State Energy Program
• $2.7 billion for Energy Efficiency and Conservation Block Grants
• $454 million for retrofit ramp-ups in energy efficiency
• $346 million for energy-efficient building technologies
• $300 million for energy-efficient appliance rebates / Energy Star®
• $256 million for the Industrial Technologies Program
• $104 million for national laboratory facilities
• $18 million for small business clean energy innovation projects

Another part of the Recovery Act addressed the positive spillovers
that R&D generates for others by subsidizing a wide variety of investments
in clean energy R&D. These investments included several billion dollars for
Transitioning to a Clean Energy Future | 129

R&D directly related to clean energy. Roughly $3.4 billion has been awarded
for research, development, and deployment of carbon capture and storage
technologies. Another portion has funded R&D on potentially transformative, next-generation clean energy and efficiency-enhancing technologies,
including advanced materials and building systems, vehicle efficiency, solar
power, biofuels, and wind turbines. Recovery Act funds have also been
awarded to finance clean energy research at universities as part of a larger
$2 billion effort, managed by the Department of Energy, to support basic
scientific research.
Funding for the Advanced Research Projects Agency-Energy
(ARPA-E) within the Department of Energy represents an especially innovative R&D component of the Recovery Act. ARPA-E is modeled after the
50-year-old Defense Advanced Research Projects Agency (DARPA), which
is credited with the initial innovations underlying the Internet, navigation satellites, and stealth technology for aircraft. ARPA-E aims to attract
America’s best scientists to focus on creative, transformational energy
research that the private sector by itself cannot support but that could
provide dramatic benefits for the nation (Box 6-3).
Full details of the Recovery Act and its economic effects, including the
law’s clean energy components, can be found in the CEA’s quarterly reports
to Congress.

Further Steps Toward a Cleaner Economy
In addition to the clean energy investments in the Recovery Act,
the Administration has taken several other steps to lay the groundwork
for cleaner energy. Among the most significant of these are new vehicle
standards; increased electricity generation from renewable sources; and
programs to record, report, and account for the cost of greenhouse gas
emissions.
Vehicle Standards. In May 2010, the Environmental Protection
Agency and the National Highway Traffic Safety Administration issued
standards that will raise the combined car and light truck fuel economy
from 30.1 miles per gallon in 2012 to 35.5 miles per gallon in 2016 and that
are projected to reduce combined car and light truck tailpipe CO2 emissions
from 295 grams a mile in 2012 to 250 grams a mile in 2016. As a result of
these rules, vehicles to be sold during model years 2012 to 2016 are projected
to use 1.8 billion fewer barrels of oil over their lifetimes, and by 2030 the
entire light-duty vehicle fleet will emit 21 percent less carbon pollution.
The reduced fuel costs will save consumers $66 billion per year by 2030, in
2009 dollars, after taking into account the increase in the purchase price of
vehicles.
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Box 6-3: The Recovery Act and ARPA-E: Spurring Innovation to
Transform the Energy Economy
The Advanced Research Projects Agency-Energy (ARPA-E) was
developed to support innovations with the potential to create new
clean energy jobs, businesses, and industries. It attracted thousands of
proposals and has funded over 100 projects that have the potential to
radically transform the energy sector.
One small startup company is developing a new way to manufacture the key part in solar panels—silicon wafers—for less than 20 percent
of current costs. If successful, the technology could be used to increase
domestic clean energy production and add many new jobs in the solar
photovoltaic industry. A second startup is developing an inexpensive
and versatile means of storing energy, using a new type of catalyst to
separate pure hydrogen and oxygen from ordinary water. That technology could allow renewable energy to be used even at times or places
where wind or sun is not available. Another company has partnered
with Argonne National Laboratory to create lithium-ion batteries with
the highest energy density in the world. The technology has the prospect
of increasing U.S. leadership in advanced batteries and boosting the
performance of hybrid/electric vehicles. Yet another small company is
developing a new type of wind turbine that generates more energy than
existing models and is cheaper to produce and operate. The turbine is
compact enough to use in urban locations and could hasten the growth
of wind power in the United States.
ARPA-E funds have enabled companies to pursue their innovative
research, to attract additional financing from private investors, and to
increase the odds of a dramatic breakthrough that would accelerate the
development of American clean energy.

Doubling Renewable Electricity Generation. Early in his
Administration, the President announced a goal of doubling the amount
of electricity generated in the United States by wind, solar, and geothermal
energy. Toward this goal, tax credits have assisted both the production of
electricity from renewable sources and the manufacture of equipment (such
as solar panels and wind turbines) used in that generation. As Figure 6-1
shows, the United States is on track to achieve that goal, adding more wind,
solar, and geothermal capacity in 4 years than in the previous 30. Yet as the
figure also shows, those particular sources of energy still account for only a
small fraction of the Nation’s overall electricity generating capacity. To build

Transitioning to a Clean Energy Future | 131

on the progress made to date, the President has proposed a Federal Clean
Energy Standard to obtain 80 percent of electricity from these and other clean
sources of electricity by 2035, expanding the range of sources from which
clean energy is generated. The standard will double the share of electricity
generated by this broader group of clean sources in 25 years, and will provide
utilities with incentives to generate clean energy, along with the associated
spillover benefits, at the lowest possible cost (see “Next Steps,” below).
Figure 6-1
U.S. Wind, Solar, and Geothermal Energy Generating Capacity
Gigawatts (GW)
70
Geothermal

Solar

60.8 GW
(5.6%)

Wind

60
50
40
30

28.7 GW
(2.8%)

36.2 GW
(3.5%)

43.2 GW
(4.1%)

49.1 GW
(4.6%)

20

10
0
2008

2009

2010

2011

2012

Notes: Net summer generating capacity of wind, solar, and geothermal energy. Percentages are
shares of total net summer electricity generating capacity.
Sources: Energy Information Administration, Annual Energy Outlook 2011; CEA calculations.

Information Provision and Disclosure. In addition to these concrete,
tangible steps that increase the efficiency of vehicles and the share of renewable sources used for electricity generation, the Administration has taken
two significant steps that involve collecting and analyzing information.
These two disclosure and information-gathering endeavors will inform and
guide future Federal climate and energy policy.
The first of these was an interagency study to estimate the “social
cost of carbon” (SCC), a set of values for the climate-related damages from
incremental changes in carbon pollution. These estimates enable Federal
agencies to consistently quantify the benefits of reduced CO2 emissions
when analyzing the costs and benefits of their regulatory actions, similar
to the way all Federal agencies use consistent discount rates for trading off
current and future costs and benefits. Based on the SCC described in Box
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6-4, the CO2 reductions in 2030 resulting from the new car and light truck
standards described above are expected to save an estimated $3.1 billion to
$31.8 billion, in 2009 dollars, in the form of reduced damages from climate
change. The ability to quantify benefits consistently across agencies in this
manner is critical for assessing the cost-effectiveness of rules and regulations.

Box 6-4: The Social Cost of Carbon: A Tool for Cost-Effective Policy
In 2010, an interagency task force that included the Council of
Economic Advisers produced an important white paper called “Social
Cost of Carbon for Regulatory Impact Analysis” (Interagency Working
Group 2010). The goal was to measure the present value of benefits from
reducing CO2 emissions by an extra ton. The report suggests four values
for this social cost of carbon (SCC): $5, $22, $36, and $67 a ton, in 2009
dollars. The first three average SCC estimates across various models and
scenarios and differ based on the rate at which future costs and benefits
are discounted (5, 3, and 2.5 percent, respectively). The fourth value,
$67, comes from evaluating the worst 5 percent of modeled outcomes,
discounted at 3 percent. All four values rise over time as more carbon in
the atmosphere exacerbates the damages from each additional ton. For
example, the central value of $22 rises to $46 in 2050. These estimates
provide guidance for assessing the costs and benefits of agencies’ rulemakings that reduce incremental carbon pollution.
Why is it important for agencies to agree on a common range for
the SCC? A key advantage of market-based regulations such as pollution
fees or tradable permit schemes is that they are cost-effective. By putting
a common price on emissions, these types of polices give each source of
pollution equal private incentives to avoid paying that price by abating.
The incremental cost of abating pollution will thus be equal across
sources, meaning that it will not be possible to reduce collective compliance costs by abating less from some sources and more from others.
While most regulations do not involve a price on carbon, and
the SCC is not itself a price, setting a common SCC range allows policymakers to explicitly compare the benefits and costs of emissions
reductions across a wide range of regulations, and to mimic the costeffectiveness of a true market-based policy. The Administration will
periodically reassess whether the four SCC values are appropriate for
evaluating U.S. policies; meanwhile, the SCC helps guide Federal agencies in the direction of consistent and cost-effective policymaking.

Transitioning to a Clean Energy Future | 133

The second information-gathering step the Administration has taken
has been to require major sources of carbon pollution to publicly report
their annual emissions. The Mandatory Reporting of Greenhouse Gases
Rule, published in October 2009, covers 85–90 percent of U.S. emissions
from roughly 10,000 facilities. Data collection began in January 2010 for
stationary sources, including electricity generators, large industrial facilities,
and suppliers of fossil fuels. For cars and light trucks, engine manufacturers are required to report emissions beginning with model year 2011.
This important step will be instrumental in helping identify cost-effective
opportunities to reduce carbon pollution as well as ways to target regulations
efficiently.

Next Steps Toward a Clean Energy Economy
In his 2011 State of the Union address and in his 2012 Budget, the
President outlined a series of proposals that build on current efforts to transition to an economy based on cleaner sources of energy. Among these are a
Federal Clean Energy Standard for electricity; further investments in energy
efficiency; a substantial commitment to transportation infrastructure,
including a major investment in high-speed rail and steps to achieve the
Administration’s goal of 1 million electric and hybrid vehicles on the streets
by 2015; and increased investments in clean energy R&D.

A Federal Clean Energy Standard
The President has proposed a goal of generating 80 percent of the
Nation’s electricity from clean energy sources, defined broadly to include
renewables and nuclear power as well as partial credit for fossil fuels with
carbon capture and sequestration and efficient natural gas. To meet this
goal, the Administration is proposing a Clean Energy Standard (CES) that
would require electric utilities to obtain an increasing share of delivered
electricity from clean sources—starting at the current level of 40 percent
and doubling over the next 25 years. Electricity generators would receive
credits for each megawatt-hour of clean energy generated; utilities with
more credits than needed to meet the standard could sell the credits to
other utilities or bank them for future use. By ensuring flexibility through
a broad definition of clean energy and by allowing trading among utilities, the program is designed to meet the overall target cost-effectively.
The Administration’s proposal emphasizes the importance of protecting
consumers and accounting for regional differences.

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The proposed Federal CES will provide a critical complement to the
Administration’s investment in clean energy R&D, by creating a stable
market for new technologies. Funding for R&D provides a “push” to technological innovation by helping to promote basic and applied research and
addressing the market spillovers associated with private research efforts.
A CES would create economic incentives for deployment of clean energy
that can help “pull” new technologies coming out of R&D into the market.
Importantly, a CES would not pick particular clean technologies, but instead
let markets and businesses determine the most cost-effective technologies to
achieve the target share of clean energy.
The Administration’s proposed CES will build on the national progress depicted in Figure 6-1, as well as on a range of existing efforts at the state
level. By the end of 2010, 31 states plus the District of Columbia had enacted
renewable energy standards (RES), which specify the minimum amount of
electricity that utilities are required to generate or purchase from renewable
sources—typically solar, wind, geothermal, and biomass (Figure 6-2). Five
additional states have also recognized specific renewable energy goals. The
laws range from modest departures from the overall business-as-usual forecast to requirements that 33 percent of power come from renewable sources
in California by 2020 and 40 percent in Hawaii by 2030. Together, the states
that have binding RES policies currently account for nearly two-thirds of all
national retail electricity sales.
Most RES laws incorporate market-based regulatory flexibility by
allowing some utilities to meet the minimum renewable shares by purchasing
renewable energy credits (RECs) from other utilities that exceed the standard. Because utilities can sometimes purchase energy and RECs across state
borders, the patchwork of state standards depicted in Figure 6-2 can achieve
some, but not all, of the cost-effectiveness benefits of a national standard.
Although states have led the way, making significant advances in the use of
renewable energy sources, a coordinated Federal action could achieve even
greater benefits with lower costs. A Federal standard with nationally tradable
credits would ensure that renewable power and other clean energy sources
are deployed in those locations where they can be most cost-effective. By
covering the whole country and including a wider array of sources, a Federal
CES has the potential to accelerate the transition to clean energy at significantly lower cost.

Transitioning to a Clean Energy Future | 135

Figure 6-2
State Renewable Energy Standards in 2025

None
Goal

Less than 20%
20% - 29%
30% - 40%
Other Standard

Notes: Percentages are renewable energy standards that are binding on utilities. In some states,
the standards are binding only on investor-owned and/or large utilities.
Sources: North Carolina Solar Center, Database of State Incentives for Renewable Energy;
various state sources.

Energy Efficiency
One certain approach to reducing energy-related pollution and
America’s reliance on fossil fuels would be to consume less energy.
Americans have many opportunities to make energy efficiency-enhancing
investments—in their homes, their vehicles, and their businesses. Examples
include weatherizing buildings, replacing old appliances with new energyefficient models, and switching to compact fluorescent light bulbs. For a
variety of reasons, however, people tend to under-invest in these types of
simple energy-saving measures where up-front costs would be paid back in
the form of reduced energy bills.
There are numerous explanations for this energy paradox. People may
simply not have the information necessary to evaluate the tradeoffs between
current costs and future savings. Some energy efficiency decisions are made
by landlords who have diminished incentives to invest in energy efficiency
because their tenants pay the electricity bills. In other cases, people may
plan to sell their homes before they would have enough time to reap the
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energy savings and might not expect those energy-saving investments to be
reflected in resale prices. And some individuals simply do not have access to
the funds to invest in energy efficiency, even if they know they would earn
that investment back many times over. Existing Federal programs designed
to address this energy paradox include the Energy Star program, which
labels appliances, consumer electronics, and building products, providing
the information consumers need to make cost-effective choices, and the
Weatherization Assistance Program, which helps cash-strapped low-income
families conserve energy and reduce their energy bills.
To build on existing efforts to address the energy paradox and the
beneficial spillovers from energy efficiency, and to help boost job creation in
the construction and manufacturing industries, the Obama Administration
has proposed two new programs to help retrofit buildings: Homestar for
residences, and the Better Buildings Initiative for commercial properties.
Homestar. The Homestar Energy Efficiency Retrofit Program
would provide point-of-sale rebates to homeowners who make efficiencyenhancing improvements to their homes. Rebates of $1,000 to $1,500 would
be paid for 50 percent of the costs of straightforward retrofits, including
insulation, water heaters, windows and doors, and air conditioners. Other
rebates of $3,000 would help pay for home energy audits and follow-up
retrofits that reduce energy costs by 20 percent. Included in the proposal
is an oversight program to ensure that contractors are qualified and that
efficiency-improving work is done properly. The program aims to create
tens of thousands of jobs and save homeowners hundreds of dollars a year
in energy costs.
Better Buildings. For the commercial real estate that is currently
responsible for roughly 20 percent of U.S. energy consumption, the
President has proposed a Better Buildings Initiative. The initiative encourages retrofits of commercial buildings so that they become 20 percent more
energy efficient over the next 10 years and save an estimated $40 billion a
year in energy costs. The program calls for replacing the current tax deduction for commercial building upgrades with a more generous tax credit;
promotes energy efficiency loans to small business, hospitals, and schools;
and provides competitive “Race to Green” grants to state and local governments for programs that encourage energy-efficient commercial upgrades.
Together, Homestar and Better Buildings would complement the
energy efficiency progress already made under the Recovery Act, help homeowners and businesses save energy costs, and help the Nation capitalize on
the beneficial spillovers from energy efficiency investments.

Transitioning to a Clean Energy Future | 137

Transportation
Transportation accounts for more than one-fourth of energy consumption in the United States, so the transition to a clean energy future must
enable Americans to choose more energy-efficient vehicles, such as electric
and hybrid cars, and to use less energy-intensive modes of transportation,
including public transit and high-speed trains.
Vehicles. The President has challenged the Nation to become the first
country in the world to have 1 million electric vehicles on its roads, and to
do so by 2015. To achieve that goal, several obstacles must be overcome.
One obstacle is what the industry calls its “chicken and egg” problem: many
drivers will not purchase fully electric vehicles unless an infrastructure of
charging stations is ready to support them, and businesses will not invest in
charging stations without a sufficiently large base of electric vehicle owners
as customers. A second obstacle involves the standard R&D innovation spillover—some of the gains from efforts to develop the first generation of electric
vehicles will be earned by producers of subsequent generations of cars.
To help achieve the million-car goal, over $2.4 billion in Advanced
Technology Vehicle Manufacturing loans are already supporting three of
the world’s first electric car factories, located in Delaware, Tennessee, and
California. To make further progress, the 2012 Budget proposes to provide
a $7,500 point-of-sale rebate to customers who buy electric vehicles; to
invest $580 million toward research, development, and deployment of electric vehicles; and to fund a new $200 million competitive grant program to
reward communities that invest in infrastructure to support electric vehicles.
Americans who continue to choose gasoline-powered vehicles can still
make progress toward a clean energy future when those vehicles become
more fuel-efficient. The new fuel economy and greenhouse gas emissions
standards for cars and light trucks for model years 2012 to 2016 is a step
in that direction. To make further progress, the National Highway Traffic
Safety Administration and the Environmental Protection Agency have
announced plans to develop standards for new cars and light trucks for
model years 2017 and beyond, along with the first proposed requirements to
increase fuel economy and reduce greenhouse gas emissions from mediumand heavy-duty trucks and buses.
Alternatives to Automobiles. Another way to reduce transportationrelated energy use is to provide more Americans with the opportunity to
choose alternative, cleaner forms of mobility such as railways for intercity travel and commuting, and bicycles and walking for short local trips.
However, all transportation systems require infrastructure investment:
automobiles require roads, trains need tracks, and airplanes need airports
and air traffic control systems. Throughout U.S. history, public investment
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in transportation infrastructure has led to long-term benefits, from the Erie
Canal to the transcontinental railroad to the interstate highway system.
As Chapter 3 notes, these types of infrastructure investments have been
shown to have broad economic spillovers, including increased economic
growth, productivity, and land values. Some transportation infrastructure
investments, such as public transit, high-speed rail, and improved air traffic
control, can also have significant energy efficiency benefits.
For intercity travel, the 2012 Budget proposes enhancements to train
and air travel that will reduce energy demands. The United States already
has the world’s most extensive freight rail network. To extend that expertise
to passenger trains, the Administration is proposing to invest $53 billion
over six years to fund the development of a national passenger rail network,
including high-speed trains, accessible to 80 percent of Americans by 2035.
And for air travel, the budget includes continued investment in the NextGen
satellite-based air traffic control system that will reduce delays, improve air
safety, and yield significant energy savings.
For short local trips, the Administration is undertaking a number of
measures to promote alternative modes of mobility, such as public transit,
bicycles, and walking. The 2012 Budget allocates $119 billion for transit
programs over six years, more than doubling the commitment to transit
in previous budgets. As part of that, the Administration is proposing $28
billion in new grants over six years for projects supporting interconnections
between various transportation modes and improving streets to make room
for pedestrians, bicycles, and mass-transit alternatives.

Research and Development
Finally, a crucial, forward-looking part of clean energy policy involves
R&D. As already described, market incentives produce less R&D than would
be optimal because innovators create social benefits in excess of their private
market returns. These positive spillovers affect every level of R&D, from
basic science all the way through demonstration and deployment of existing
technologies.
In the past, industries that have invested heavily in R&D have led the
United States in creating high-quality jobs and exports. As Chapter 3 notes,
R&D-intensive industries are characterized by higher sales per employee
and more exports than comparable industries selling internationally tradable goods and services. For the future, the energy sector is a large potential
source of R&D-intensive industries—along with the associated high-quality
jobs and exports they produce. Other countries around the world face the
same energy-related threats to their prosperity as those confronting the
United States, and global demand for new clean energy technologies is
Transitioning to a Clean Energy Future | 139

increasing. But given the spillovers associated with all R&D, those countries
that make public investments in clean energy R&D are likely be the first to
develop those new industries. To address those spillovers, and help ensure
that the United States leads the world in this important growth industry,
the President has called for more than $8 billion for clean energy research,
development, and deployment incentives.
Research and development funding is often most productive when
scientists collaborate across disciplines and institutions. To facilitate that
cooperative work, the Department of Energy has launched three Energy
Innovation Hubs. Each brings together top researchers from academia,
industry, and government to work on a particular energy-related technology. The first three hubs focus on deriving fuel from sunlight, increasing
energy efficiency in buildings, and improving nuclear reactors. The 2012
Budget proposes three additional hubs targeted at rare earths and other
critical materials, vehicle batteries, and Smart Grid technology for energy
transmission. Such funding for research and development will help make
future innovations possible, yielding novel ways to produce clean energy and
to store and use energy more efficiently.

Conclusion
To guide the United States toward a clean energy future, the
Administration has enacted and proposed a wide variety of programs,
including manufacturing loan guarantees, tax credits and rebates, R&D
subsidies, weatherization assistance, new vehicle standards, information
reporting requirements, significant investment in transit infrastructure,
and a new Clean Energy Standard for electric utilities. The programs are
connected in important ways. They are all motivated by the same fundamental economic rationale: the problem that the full social benefits of clean
energy R&D, production, and consumption—including energy security,
cleaner air and reduced carbon pollution, and enhanced international
competitiveness and economic growth—are not reflected in private markets.
Moreover, the programs focusing on different parts of the clean
energy supply chain—innovation, manufacturing, generation, and use—are
complementary. The benefits from putting 1 million electric vehicles on the
road will be fully realized only if the electricity used to charge those vehicles
can be generated by clean sources. R&D creates technologies that will be
valuable only if they are manufactured and deployed, which is why the
Administration has proposed a Clean Energy Standard to create incentives
for utilities to use new clean sources of energy. The Clean Energy Standard
in turn is complemented by the Administration’s programs to enhance
energy efficiency.
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In the end, all of the Administration’s clean energy programs are
united by the overriding goal that in the decades to come American families
will prosper in a cleaner, safer world. Today’s investments in clean energy
R&D will lead to innovations and new industries with high-quality jobs.
Clean sources of energy will mean that Americans breathe cleaner air, enjoy
better health, face reduced risks from climate change, and work and do business in an economy facing lower risks from energy-related disruptions—a
clean energy future.

Transitioning to a Clean Energy Future | 141

C H A P T E R

7

SUPPORTING AMERICA’S
SMALL BUSINESSES

E

nsuring the prosperity and growth of our Nation’s small businesses
and creating a climate conducive to entrepreneurship are critical to
strengthening the American economy. The spirit of entrepreneurship has
been intertwined with the Nation’s history from the early entrepreneurs
who laid the foundation for modern American commerce. Entrepreneurs
built the industrial companies that helped to transform our Nation into an
economic power, and today innovative startup companies proliferate across
the country in a wide range of industries. Not only do small businesses now
employ approximately half of the private sector workforce, nearly every
American business starts small, implying that entrepreneurs play a critical
role in economic growth and job creation.
Small businesses, defined by the Small Business Administration
(SBA) Office of Advocacy as independent businesses having 500 or fewer
employees, account for more than half of nonfarm private gross domestic
product (GDP). These 27.5 million businesses, many of them family-owned
companies, are a key part of the U.S. economy. The economic challenges of
the past few years, however, have proved difficult for owners of small businesses. Between 2008 and 2009, the number of new businesses founded is
estimated to have dropped 11.8 percent, from 626,400 to 552,600, and the
number of bankruptcies rose 40 percent, from 43,546 to 60,837 (Figure 7-1).

143

Figure 7-1
Births, Closures, and Bankruptcies of Firms
Number of firms
800,000

Births

Closures

Bankruptcies

2008

2009

700,000
600,000
500,000
400,000
300,000
200,000
100,000
0
2005

2006

2007

Notes: Births and closures in 2008 and 2009 are SBA estimates.
Births and closures include only employer firms. Bankruptcies include both employer and
nonemployer firms. Employer firms have paid employees while nonemployer firms do not.
Sources: SBA, Office of Advocacy.

In response, the Administration has taken several actions to support
small business, such as reducing taxes and improving access to capital and
credit. Through the American Recovery and Reinvestment Act (Recovery
Act), the Hiring Incentives to Restore Employment (HIRE) Act, the Small
Business Jobs Act (SBJA), and the Tax Relief, Unemployment Insurance
Reauthorization, and Job Creation Act, the Administration cut taxes for
small businesses 17 times and improved their access to credit and capital.
This chapter briefly reviews the impact of the recession on small firms and
details how Administration policies have built a solid foundation for the
future growth and prosperity of American small business.

Impact of the Recession on Small Businesses
Job Creation
One particularly important contribution of small firms to the Nation’s
well-being is the jobs they create. According to the SBA’s Office of Advocacy,
small firms accounted for 9.8 million of the 15 million net new private sector
jobs created between 1993 and 2009—nearly two out of every three of the
period’s net new jobs. In normal times, new small businesses account disproportionately for employment growth. Although many new firms fail, surviving

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firms create enough jobs to offset those lost to firm exits, so that most jobs
created by firm births persist. A recent Kauffman Foundation study, for
example, shows that startup firms created 3.1 million gross jobs in the United
States in 2000. By 2005, about half of the initial firms had failed, but the survivors still employed 2.4 million people (Kane 2010).
During the recession, small businesses hired fewer workers than usual.
According to Business Employment Dynamics statistics, between 2001 and
2007, businesses with fewer than 250 employees hired an average of 18.2
million workers a year, but those numbers fell to 16.5 million and 15.1
million in 2008 and 2009. Furthermore, some evidence suggests that small
businesses have found it harder to recover from this recession than from
past downturns. According to a Bureau of Labor Statistics report released
in November 2010, new firms created a seasonally adjusted 1.1 million
jobs during the three quarters before March 2010, or 31 percent fewer than
during the comparable period after the 2001 recession.

Financing Small Business
Access to credit and capital enables owners of small businesses
to start, support, and expand their companies. During the recession,
both credit and capital availability for small businesses declined sharply,
hampering entrepreneurs’ efforts to finance operations and start new businesses. Although larger businesses typically rely on banks for only 30 percent
of their financing, small firms receive 90 percent of their financing from
banks (SBA 2009). Importantly, community banks—those with less than $1
billion in risk-weighted assets—provide 38 percent of small business and
farm loans (COP 2010).
The capital structure of small business is typically roughly half
equity and half debt, and the equity comes mainly from friends, family,
or the founder themself. Unlike larger public companies, which routinely
submit extensive financial documentation to the Securities and Exchange
Commission, small firms cannot easily provide verified data to potential
investors. These information asymmetries and other market frictions tend
to slow the flow of credit and capital to promising small businesses. Many
researchers have found evidence of these “liquidity constraints,” which limit
the funding that small business owners can raise from the market.1
Over the years, various institutions have arisen to help surmount this
challenge in small business finance. One key to overcoming information
issues is long-term relationships between small firms and commercial banks,
whose officers not only can observe whether each small business is servicing
1 This discussion draws from Berger and Udell, 2002; Peterson and Rajan, 1994; Evans and
Jovanovic, 1989; and Holtz-Eakin, Joulfaian, and Rosen, 1994.

Supporting America’s Small Businesses

| 145

its loans, but also can collect additional information about its creditworthiness. To that end, one major aim of the SBA credit and capital programs is to
overcome the market failures involved in financing small firms. The purpose
of SBA loan programs, for example, is to support commercial loans to firms
that would be considered good credit risks were it not for these information
asymmetries. And the goal of SBA investment programs, such as the Small
Business Investment Company program, is to overcome frictions in capital
markets by encouraging the flow of venture and growth capital to small
businesses.

Changes in Availability of Credit and Capital for Small Business
The recession complicated the already challenging financing landscape for small business in credit and capital markets. Commercial banks
reduced their outstanding small loans (which are generally assumed to go
disproportionately to small businesses) by more than $14 billion, or almost
2 percent, between June 30, 2008, and June 30, 2009, and the number of new
loans to small business declined sharply (Duke 2010) (Figure 7-2).
Figure 7-2
Bank Lending to Small Business
Billions of dollars
710

Number of loans in millions
40
Value of loans

700

Number of loans

35

690

30

680

25

670

20

660

15

650

10

640

5

630

0
2007

2008

2009

2010

Source: FFIEC (2010).

Commercial and industrial loans, including loans to small businesses,
fell an estimated 24 percent during the same period. This precipitous decline
can be explained by changes in both demand and supply. First, the recession
caused a drop in aggregate demand, reducing the ability of and incentives for
small businesses to invest in new capital equipment or hire new employees.

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As a result, the drop in demand for new loans contributed in part to the
decline in lending to small business. Indeed, an additional 63.5 percent of
bank senior loan officers reported lower demand in the second quarter of
2009 than reported higher or no change in demand, with smaller net differences throughout the rest of 2009 and early 2010. Furthermore, surveys from
the National Federation of Independent Business indicated that in 2009
small business owners were far more concerned about poor sales than about
tight credit (Figure 7-3).
Figure 7-3
Most Important Problem Facing Small Businesses in 2009
Percent
35

32

30
25
21
20
14

15

8

6

5

4

4

Cost of labor

10

Financial and
interest rates

12

Competition
from large
businesses

Insurance
cost/availability

Government
requirements

Other

Taxes

Poor sales

0

Notes: “Other” includes issues such as inflation and quality of labor. Data are an average of
monthly National Federation of Independent Business surveys from 2009.
Sources: Dunkelberg and Wade (2010); CEA calculations.

But, falling demand was not the only problem. Firms that wanted to
borrow and invest faced an especially grave situation during the recession.
Specifically, the declining quality of existing loan portfolios for commercial
banks led them to reduce or eliminate lines of credit and curtail new loans
to small businesses. According to the Federal Reserve’s Senior Loan Officer
Opinion Survey on Bank Lending Practices, standards for lending to small
businesses tightened, and interest rate spreads—the difference between
rates charged to small businesses and a bank’s prime customers—on loans

Supporting America’s Small Businesses

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between $100,000 and $1 million increased by 1 percentage point to its
highest level in more than 10 years.
The sharp drop in both residential and commercial real estate prices
also likely contributed to the deteriorating lending environment for many
small businesses. The value of real estate assets is important to small businesses. According to the Federal Reserve’s 2007 Survey of Consumer
Finances, nearly 11 percent of all households owned and managed a small
business, and 18 percent of these households used personal assets, such as
their home, as collateral for loans.
Despite signs of overall economic recovery, the lending environment
for small business may take some time to recover completely. Following
the 1990 and 2001 recessions, for example, commercial lending continued
to decline—falling 13.3 percent between 1990 and 1994, and 20.4 percent
between 2001 and 2004 (COP 2010). Support for the small business lending
market may thus continue to be necessary even as economic growth resumes.
The recession generated problems not only in the small business
credit market but also in the angel and venture capital markets that allocate
funds to promising new small businesses with high growth potential. Angel
investors are wealthy individuals or small groups who invest in entrepreneurial ventures, often in the early stages of development. In 2009, these
angel investors provided $17.6 billion (down 8.3 percent from 2008) in
funding to 57,225 entrepreneurial ventures (Sohl 2010).
Figure 7-4
Venture Capital Investment
Billions of dollars
9
8
7
6
5
2010:Q3

4
3
2
1
0
2002

2003

2004

2005

2006

2007

2008

2009

Source: PricewaterhouseCoopers and National Venture Capital Association (2010).

148 |

Chapter 7

2010

Venture capital firms raise funds from institutional investors and
other limited partners to invest in privately held companies. Although
venture capital firms fund less than 1 percent of new startups, firms that
have received venture capital investments provide disproportionate growth,
accounting for more than 12 million jobs and approximately $3 trillion in
revenue in 2008. Venture capital has been especially important in spawning
industries such as biotechnology, which has produced life-saving medicines
and tens of thousands of American jobs (BIO 2008).
The venture capital market grew tremendously during the late 1990s,
but fundraising has declined in recent years, and fewer venture capital firms
are focusing on early-stage firms (Figure 7-4). Venture capital investment has
never completely regained its strength since the end of the dot-com boom in
the early 2000s, for at least three interrelated reasons: a decrease in such capital
invested in early-stage startups; difficult economic conditions, including a
weak initial public offering market (Figure 7-5); and asset reallocation away
from venture capital funds by institutional investors. On average, $6.2 billion
of venture capital was invested per quarter between 2001 and 2009. In the
third quarter of 2010, however, venture capital investments fell 31 percent to
$4.8 billion, according to a recent report from the National Venture Capital
Association. The decline in access to capital for new firms exacerbated the
more general financing challenges facing small firms.

Figure 7-5
U.S. Initial Public Offerings
Number of IPOs
800
700
600
500
400
300
200
100
0
1990

1992

1994

1996

1998

2000

2002

2004

2006

2008

2010

Source: Ritter (2010).

Supporting America’s Small Businesses

| 149

Administration Policies to Support Small Business
To address the challenges for small businesses and entrepreneurs
arising from the recession, the Administration has taken measures that
can be grouped under two broad headings: reducing the tax burden for
small business and improving access to credit and capital. Both sets of policies are designed to increase the funds available to small business owners
to hire workers, invest in new equipment, expand operations, or attract
new customers. It should also be noted that the stimulus provided by the
Recovery Act increased aggregate demand, a key concern mentioned in
surveys of small business owners. The Financial Stability Plan, administered by the Department of Treasury, was designed to restore stability and
confidence in the financial market. Both of these policies addressed the
macroeconomic conditions affecting small businesses.
In addition, to further spur demand for the products and services
provided by small business, the President issued a memorandum on April
26, 2010, calling for an Interagency Task Force on Federal Contracting
Opportunities for Small Business. The task force released 13 specific
recommendations in September 2010 aimed at increasing contracting
opportunities for small business. Those recommendations are now being
implemented by the Office of Management and Budget, the SBA, and other
Federal agencies.

Tax Cuts for Small Business
Since taking office in January 2009, President Obama has signed into
law 17 tax cuts targeted to small business. Each has given relief to business
owners who struggled to stay afloat during the financial crisis and subsequent recession.
As noted, hiring by small businesses slowed during 2008 and 2009.
In response, the HIRE Act was enacted in the spring of 2010, to spur
job creation across the economy, including in small businesses. The law
provided a two tiered tax incentive to employers who hire and retain jobless
workers. The first part of the incentive exempted employers from paying
their share of Social Security taxes (6.2 percent of the first $106,800 of wages)
on qualified employees. The second part was a general business tax credit of
up to $1,000 for each new employee retained for more than one year. Both
of these targeted tax cuts provided an incentive for small businesses to hire
new workers and retain them, helping to revive an important engine of job
growth in the American economy.

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Chapter 7

In addition, the Affordable Care Act responded to small business
owners’ concerns about high health care costs by giving eligible employers a
tax credit of up to 35 percent of health insurance premium costs, increasing
to 50 percent for any two years starting in 2014. Moreover, would-be entrepreneurs are sometimes discouraged from starting new firms for fear of
losing health insurance coverage provided by their employer. In response,
the SBJA allows 2 million self-employed individuals to deduct the cost of
health insurance in 2010 for themselves and their family from their selfemployment taxes, saving these workers an estimated $1.9 billion.
Administration policy also aimed to increase incentives for small
business investment. These incentives included a Recovery Act provision,
which was extended in the later SBJA, that allowed 50 percent bonus depreciation for new investments. The Tax Relief, Unemployment Insurance
Reauthorization and Job Creation Act expanded this same incentive through
a provision allowing businesses to expense 100 percent of their investments
from September 2010 through the end of 2011. It is estimated that this
provision will benefit up to 2 million businesses. The Administration also
doubled, from $125,000 to $250,000, the capital investment and new equipment purchases that small businesses could write off in 2009 and increased
that limit to $500,000 in 2010 and 2011. It is estimated that 4.5 million small
businesses qualify for this provision. Taken together, these measures reduce
the cost of capital for small business, providing significant incentives to
invest in new machinery and equipment.
Finally, the Administration has taken key steps to facilitate the startup
of new businesses and encourage equity investments in existing small businesses. The Recovery Act permitted 75 percent of capital gains on qualified
small business investments to be excluded from taxation. The SBJA temporarily raised that exclusion to 100 percent for key small business investments
held for at least five years, a benefit that is estimated to go to 1 million
firms—and which the Administration has proposed to make permanent.

Initiatives to Increase Access to Credit
Aside from these important tax cuts for small business, the President
also signed legislation that has helped small businesses access credit to
hire employees and expand. The Recovery Act provided $730 million to
the SBA to eliminate fees on SBA-backed loans and raise the guarantee to
90 percent on certain loans. Furthermore, the Administration expanded
the Microloan program and the Surety Bond Guarantee program and
provided funds to improve the efficiency of the SBA’s lending and oversight

Supporting America’s Small Businesses

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processes. Combined with measures taken under the Financial Stability
Plan to unfreeze the secondary markets on which SBA loans are bought and
sold, the Recovery Act SBA loan provisions have supported $30 billion in
lending to more than 70,000 small businesses through October 2010. These
measures were critical to the rebound of SBA-backed loans through 2009
and early 2010 (Figure 7-6).
Figure 7-6
SBA-Backed Loan Approvals
Millions of dollars
2,500

2,000

1,500

Recovery Act provisions
implemented Mar-09

1,000

500

0
Oct-07 Feb-08 Jun-08 Oct-08 Feb-09 Jun-09 Oct-09 Feb-10 Jun-10 Oct-10
Source: SBA.

The SBJA went even further to increase the amount of loans to small
businesses. It provided $505 million to the SBA to support up to $14 billion
in new lending for small business while extending Recovery Act provisions
to increase loan guarantees and reduce fees, thus ensuring continued access
to more affordable credit for small business owners. From February 2009
through December 2010, the SBA has supported more than $42 billion of
loans to nearly 82,000 small businesses.
The Administration also took several new steps to increase access
to credit. For example, as small businesses grow, they typically need to
borrow more to finance more expensive equipment, to increase their real
estate holdings, and to hire more skilled workers. In addition to extending
Recovery Act SBA lending initiatives, the SBJA also permanently increased
the maximum size of SBA 7(a) program loans from $2 million to $5 million,
raised the lending limit in the SBA 504 manufacturing-related loan program

152 |

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from $4 million to $5.5 million, and temporarily increased the SBA Express
program limit from $350,000 to $1 million.
Small Business Lending Fund. The Administration’s efforts also
focused on increasing small business lending more broadly. As noted,
community banks are a critical source of credit for small businesses. These
banks struggled during the financial crisis and sharply cut back their small
business lending, though less dramatically than did larger institutions.
To support these community banks and encourage more lending, the
Administration created a Small Business Lending Fund to be administered
by the Treasury Department and tailored to the specific needs of each state.
Under this plan, the Federal Government is authorized to lend up to $30
billion in capital to community banks in return for preferred stock. The
dividend rate that banks are required to pay back to the Treasury depends
on how much they increase their loans to small business, with a dividend
rate as low as 1 percent for lenders that increase loans by 10 percent or more.
State Small Business Credit Initiative. As part of the SBJA, the
Administration also took action to boost small business lending by
establishing a State Small Business Credit Initiative. Several states have
already implemented loan programs to support small businesses, and the
Administration is working with other states to create similar programs.
Capital Access Programs, for example, create loan-loss reserves to which
lenders and state governments contribute funds. Across a range of states,
these funds have historically leveraged $10 to $30 from every $1 of public
funds. The credit initiative will provide $1.5 billion to shore up state
programs that faced difficulties during the economic downturn and to
spur private sector lending to small businesses. This initiative will require a
minimum leverage of 10 to 1—$10 for every $1 received from the Treasury
Department, thus designed to support a total of $15 billion in lending across
the nation.
National Export Initiative. Another important program to benefit
small business is the National Export Initiative (NEI), launched through an
executive order issued by the President on March 11, 2010. The NEI calls
for a national outreach campaign both to identify small businesses that may
be able to increase their exports and to raise awareness generally among
the nation’s small businesses about export opportunities. The NEI, working
through a number of agencies, including the Commerce Department’s
International Trade Administration, will also provide training and other
kinds of technical assistance to help small businesses prepare to become
exporters. In addition, the NEI proposes to set up a pilot program to match
small businesses with export intermediaries and outlines several measures
to support small businesses with trade assistance programs once they begin
Supporting America’s Small Businesses

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to export to new markets. In the 11 months before August 2010, the ExportImport bank increased its approvals for small business loans nearly 14
percent, from $3.6 billion to $4.1 billion.

Policies to Encourage Greater Access to Capital
In addition to providing tax cuts and increasing credit for existing
small firms, the Administration also has introduced important policies to
provide access to capital and to encourage the formation of new businesses.
In particular, the Administration has launched several important initiatives
to facilitate the flow of venture and growth capital to small businesses and
create more supportive conditions for the launch of new ventures.
Small Business Investment Company (SBIC) Program. SBICs are
private venture and later-stage capital firms that register with the SBA and
make equity investments in small companies. They raise equity capital from
private sources, raise debt backed by SBA guarantees, and deploy this capital
in private companies. Since 1958, SBICs have invested more than $56 billion
in more than 100,000 small businesses. Today, approximately 338 SBICs
manage more than $17 billion.
Just as the Administration took action to counteract the decline in
small business credit availability, it worked to counter the decline in the
funding of new small businesses. To reverse the precipitous fall in venture
capital fundraising during 2008 and early 2009, provisions in the Recovery
Act permanently increased the effectiveness of SBICs in providing capital to
high-growth firms. The Recovery Act first made SBICs eligible for increased
SBA guaranteed funding. It then required them to increase their investments
in smaller companies.
In 2010, SBIC financing to small firms totaled $1.6 billion, an increase
of 23 percent over its average for the previous four years. In addition,
processing time fell from more than a year to less than six months, allowing
the SBA to increase markedly the number of new SBICs that it licensed.
Promoting Entrepreneurship in Regional Clusters. The SBA also
launched its Innovative Economies Initiative to spur the development of
entrepreneurship in regional clusters. The SBA provided $6 million to 10
regional economies across the nation to nurture and grow small businesses
in critical industry supply chains. In one instance, the SBA provided funds
to its Small Business Development Centers in the Philadelphia region to link
local small businesses to the Energy Regional Innovation Cluster initiative
on green buildings.

154 |

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Startup America. The Administration has also promoted the success
of new small businesses with high growth potential. On January 31, 2011,
it launched Startup America to encourage high-growth entrepreneurial
ventures such as those that have revolutionized the nation’s software, semiconductor, life science, and energy sectors, among others. Startup America
includes both specific federal policies and a public-private partnership to
promote entrepreneurship. The primary goal is to increase the number of
high-growth startups that create broad-based economic growth and jobs. A
second goal is to celebrate and honor entrepreneurship as a core American
value and give more Americans the opportunity to start their own business.
Startup America features policy initiatives in four areas: access to
capital, entrepreneurship education and mentoring, commercialization of
university and federal laboratory research, and reductions of barriers to
growth for new ventures. To improve access to capital, the SBA will work
with the private sector, through its SBIC Impact Fund program, to guarantee
investments totaling $1 billion over the next five years in high-growth small
businesses in underserved regions. The SBIC Innovation Fund program
will guarantee an additional $1 billion of investment over several years in
early-stage innovative companies. This initiative also calls for an extension
of the 100 percent exemption of capital gains from qualified investments in
small businesses and expands the New Markets tax credit program from $3.5
billion to $5 billion a year.
In the area of education and mentoring, the Department of Energy, the
SBA, and the Department of Veterans Affairs will provide support to expand
successful business mentorship programs for veterans of the wars in Iraq
and Afghanistan and for clean energy entrepreneurs around the nation. In
addition, private sector partners have committed to more than $350 million
in investments for entrepreneurial education and mentoring. The third set
of initiatives in Startup America will invest in strategies to bring innovative
ideas from federal labs and universities into the commercial marketplace,
both by establishing and disseminating best practices for commercialization and by funding regional “proof of concept” centers. In the fourth set of
initiatives on reducing barriers to growth, the U.S. Patent and Trademark
Office has announced that it will pursue a more efficient “Three Track”
patent examination process, creating benefits for entrepreneurs seeking
more certainty over the timing of important intellectual property protection.
Startup America will also ask Federal agencies to identify barriers to highgrowth entrepreneurship and launch a listening tour for Administration
officials to travel the nation and meet with entrepreneurs to solicit their
recommendations for improving the environment for entrepreneurship.

Supporting America’s Small Businesses

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Conclusion
Small businesses, the foundation of the American economy, are
critical to economic growth and job creation. Entrepreneurs, in part because
of their reliance on commercial banks, were especially hard hit during the
financial crisis and subsequent recession. A swift and comprehensive policy
response was thus essential. The Administration has advanced important
initiatives to lower taxes and make health insurance more affordable for
small businesses, to increase their access to credit and capital, and to provide
stronger incentives for job creation and investment. Taken together, these
steps have stabilized the small business economy and placed it on a stronger
footing for future growth.

156 |

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Kane, Tim. 2010. “The Importance of Startups in Job Creation and
Job Destruction.” Kauffman Foundation Research Series: Firm
Formation and Economic Growth. Kansas City, Mo. July. (www.
kauffman.org/.../firm_formation_importance_of_startups.pdf).
Petersen, Mitchell A., and Raghuram G. Rajan. 1994. “The Benefits
of Lending Relationships: Evidence from Small Business Data.”
Journal of Finance 49, no. 1: 3–37.
PricewaterhouseCoopers and National Venture Capital Association. 2010.
“Money Tree Report” (www.pwcmoneytree.com/MTPublic/ns/
index/jsp).
References

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Ritter, Jay R. 2010. “Initial Public Offerings: Tables Updated through 2010.”
Table 1: Mean First-Day Returns and Money Left on the Table, 1990–
2010 (http://bear.warrington.ufl.edu/ritter/IPOs2010Statistics.pdf).
SBA (Small Business Administration) and Treasury Department. 2009.
“Report to the President: Small Business Financing Forum.” (www.
wipp.org/resource/resmgr/...to.../Small_Business_Financing_For.
pdf) or (http://archive.sba.gov/smallbusinessforum/index.html).
Sohl, Jeffrey. 2010. “The Angel Investor Market in 2009: Holding Steady
but Changes in Seed and Startup Investments.” Center for
Venture Research, University of New Hampshire. March 31.
(www.unh.edu/news/docs/2009angelanalysis.pdf).

164 |

References

A P P E N D I X

A

REPORT TO THE PRESIDENT
ON THE ACTIVITIES OF THE
COUNCIL OF ECONOMIC
ADVISERS DURING 2010

letter of transmittal
Council of Economic Advisers
Washington, D.C., December 31, 2010
Mr. President:
The Council of Economic Advisers submits this report on its activities
during calendar year 2010 in accordance with the requirements of the
Congress, as set forth in section 10(d) of the Employment Act of 1946 as
amended by the Full Employment and Balanced Growth Act of 1978.
Sincerely,
Austan Goolsbee, Chairman
Cecilia Elena Rouse, Member

Activities of the Council of Economic Advisers During 2010

| 167

Council Members and Their Dates of Service
Name

Position

Oath of office date

Separation date

Edwin G. Nourse
Leon H. Keyserling

Chairman
Vice Chairman
Acting Chairman
Chairman
Member
Vice Chairman
Member
Member
Chairman
Member
Member
Member
Chairman
Member
Member
Member
Member
Chairman
Member
Member
Member
Chairman
Member
Member
Member
Chairman
Member
Member
Member
Chairman
Member
Member
Chairman
Member
Member
Member
Member
Chairman
Member
Member
Chairman
Member
Member

August 9, 1946
August 9, 1946
November 2, 1949
May 10, 1950
August 9, 1946
May 10, 1950
June 29, 1950
September 8, 1952
March 19, 1953
September 15, 1953
December 2, 1953
April 4, 1955
December 3, 1956
May 2, 1955
December 3, 1956
November 1, 1958
May 7, 1959
January 29, 1961
January 29, 1961
January 29, 1961
August 3, 1962
November 16, 1964
May 17, 1963
September 2, 1964
November 16, 1964
February 15, 1968
February 2, 1966
February 15, 1968
July 1, 1968
February 4, 1969
February 4, 1969
February 4, 1969
January 1, 1972
September 9, 1971
March 13, 1972
July 23, 1973
October 31, 1973
September 4, 1974
June 13, 1975
July 22, 1975
January 22, 1977
March 18, 1977
March 18, 1977

November 1, 1949

John D. Clark
Roy Blough
Robert C. Turner
Arthur F. Burns
Neil H. Jacoby
Walter W. Stewart
Raymond J. Saulnier
Joseph S. Davis
Paul W. McCracken
Karl Brandt
Henry C. Wallich
Walter W. Heller
James Tobin
Kermit Gordon
Gardner Ackley
John P. Lewis
Otto Eckstein
Arthur M. Okun
James S. Duesenberry
Merton J. Peck
Warren L. Smith
Paul W. McCracken
Hendrik S. Houthakker
Herbert Stein
Ezra Solomon
Marina v.N. Whitman
Gary L. Seevers
William J. Fellner
Alan Greenspan
Paul W. MacAvoy
Burton G. Malkiel
Charles L. Schultze
William D. Nordhaus
Lyle E. Gramley
168 |

Appendix A

January 20, 1953
February 11, 1953
August 20, 1952
January 20, 1953
December 1, 1956
February 9, 1955
April 29, 1955
January 20, 1961
October 31, 1958
January 31, 1959
January 20, 1961
January 20, 1961
November 15, 1964
July 31, 1962
December 27, 1962
February 15, 1968
August 31, 1964
February 1, 1966
January 20, 1969
June 30, 1968
January 20, 1969
January 20, 1969
December 31, 1971
July 15, 1971
August 31, 1974
March 26, 1973
August 15, 1973
April 15, 1975
February 25, 1975
January 20, 1977
November 15, 1976
January 20, 1977
January 20, 1981
February 4, 1979
May 27, 1980

Council Members and Their Dates of Service
Name

Position

Oath of office date

Separation date

George C. Eads
Stephen M. Goldfeld
Murray L. Weidenbaum
William A. Niskanen
Jerry L. Jordan
Martin Feldstein
William Poole
Beryl W. Sprinkel
Thomas Gale Moore
Michael L. Mussa
Michael J. Boskin
John B. Taylor
Richard L. Schmalensee
David F. Bradford
Paul Wonnacott
Laura D’Andrea Tyson
Alan S. Blinder
Joseph E. Stiglitz

Member
Member
Chairman
Member
Member
Chairman
Member
Chairman
Member
Member
Chairman
Member
Member
Member
Member
Chair
Member
Member
Chairman
Member
Member
Chair
Member
Member
Chairman
Member
Member
Chairman
Member
Member
Chairman
Member
Member
Chairman
Chairman
Member
Member
Chairman
Member
Chair
Member
Chairman
Member

June 6, 1979
August 20, 1980
February 27, 1981
June 12, 1981
July 14, 1981
October 14, 1982
December 10, 1982
April 18, 1985
July 1, 1985
August 18, 1986
February 2, 1989
June 9, 1989
October 3, 1989
November 13, 1991
November 13, 1991
February 5, 1993
July 27, 1993
July 27, 1993
June 28, 1995
June 30, 1995
January 29, 1996
February 18, 1997
April 23, 1997
October 22, 1998
August 12, 1999
August 12, 1999
May 31, 2000
May 11, 2001
July 25, 2001
November 30, 2001
May 29, 2003
November 21, 2003
November 21, 2003
February 23, 2005
June 21, 2005
November 18, 2005
November 18, 2005
February 27, 2006
July 17, 2008
January 29, 2009
March 11, 2009
September 10, 2010
March 11, 2009

January 20, 1981
January 20, 1981
August 25, 1982
March 30, 1985
July 31, 1982
July 10, 1984
January 20, 1985
January 20, 1989
May 1, 1989
September 19, 1988
January 12, 1993
August 2, 1991
June 21, 1991
January 20, 1993
January 20, 1993
April 22, 1995
June 26, 1994

Martin N. Baily
Alicia H. Munnell
Janet L. Yellen
Jeffrey A. Frankel
Rebecca M. Blank
Martin N. Baily
Robert Z. Lawrence
Kathryn L. Shaw
R. Glenn Hubbard
Mark B. McClellan
Randall S. Kroszner
N. Gregory Mankiw
Kristin J. Forbes
Harvey S. Rosen
Ben S. Bernanke
Katherine Baicker
Matthew J. Slaughter
Edward P. Lazear
Donald B. Marron
Christina D. Romer
Austan D. Goolsbee
Cecilia Elena Rouse

February 10, 1997
August 30, 1996
August 1, 1997
August 3, 1999
March 2, 1999
July 9, 1999
January 19, 2001
January 12, 2001
January 19, 2001
February 28, 2003
November 13, 2002
July 1, 2003
February 18, 2005
June 3, 2005
June 10, 2005
January 31, 2006
July 11, 2007
March 1, 2007
January 20, 2009
January 20, 2009
September 3, 2010

Activities of the Council of Economic Advisers During 2010

| 169

Report to the President
on the Activities of the
Council of Economic Advisers
During 2010
The Council of Economic Advisers was established by the Employment
Act of 1946 to provide the President with objective economic analysis
and advice on the development and implementation of a wide range of
domestic and international economic policy issues. The Council consists of
a Chairman and two members appointed by the President and confirmed by
the United States Senate.

The Chair of the Council
Austan D. Goolsbee, who had been a Member of the Council since
2009, was appointed Chairman of the Council on September 10, 2010.
Chairman Goolsbee is on a leave of absence from the University of Chicago,
where he is the Robert P. Gwinn Professor of Economics at the Booth School
of Business. He also served as the Chief Economist and Staff Director of the
President’s Economic Recovery Advisory Board for the duration of its existence from 2009 to 2011.
The Chairman is a member of the President’s Cabinet and is responsible for communicating the Council’s views on economic matters directly to
the President through personal discussions and written reports. Chairman
Goolsbee represents the Council at the Presidential economic briefings,
daily White House senior staff meetings, budget meetings, Cabinet meetings, a variety of inter-agency meetings, and meetings with the President,
the Vice President, and other senior government officials. He also meets
frequently with members of Congress as well as with business, academic and
labor leaders to discuss ideas about the economy.
Christina D. Romer resigned as Chair in September 2010 to return
to the University of California, Berkeley, where she is the Class of 1957
-Garff B. Wilson Professor of Economics.

Activities of the Council of Economic Advisers During 2010

| 171

The Members of the Council
Cecilia Elena Rouse was nominated by the President on January 20,
2009, confirmed by the Senate on March 10, and took her oath of office on
March 11. Dr. Rouse is on a leave of absence from Princeton University,
where she is the Theodore A. Wells ’29 Professor of Economics and Public
Affairs. Dr. Rouse represents the Council at a wide variety of meetings and
frequently attends meetings with the President and the Vice President.
Dr. Rouse works closely with the Chairman on all issues before the Council,
and especially on those related to labor, education, housing, and international trade.

Areas of Activity
Macroeconomic Policies
A central function of the Council is to advise the President on all
major macroeconomic issues and developments. The Council is actively
involved in all aspects of macroeconomic policy. In 2010, the central
macroeconomic issues included formulating targeted measures to spur job
creation; evaluating the effects of the policies and the economy’s response;
reforming financial regulation; monitoring the financial and economic
recovery; providing analysis on the economic effects of the American
Recovery and Reinvestment Act of 2009; innovation and infrastructure; and
setting priorities for the budget. The Council works closely with various
government agencies, the Office of Management and Budget, the National
Economic Council, White House senior staff, and other officials.
The Council prepares for the President, the Vice President, and the
White House senior staff a daily economic briefing memo analyzing current
economic developments, and almost-daily memos on key economic data
releases. It also issues reports periodically on economic issues.
The Council, the Department of Treasury, and the Office of
Management and Budget—the Administration’s economic “troika”—
are responsible for producing the economic forecasts that underlie the
Administration’s budget proposals. The Council initiates the forecasting
process twice each year, consulting with a wide variety of outside sources,
including leading private sector forecasters and other government agencies.
The Council continued its efforts to improve the public’s understanding of economic developments and of the Administration’s economic
policies through briefings with the economic and financial press,
discussions with outside economists, presentations to outside organizations,
and regular updates on major data releases on the CEA blog. The Chairman
172 |

Appendix A

and Members also regularly met to exchange views on the macroeconomy
with the Chairman and Members of the Board of Governors of the Federal
Reserve System.

Microeconomic Policies
Throughout the year, the Council was an active participant in the
analysis and consideration of a broad range of microeconomic policy issues.
As with macroeconomic policy, the Council works closely with other agencies and White House senior staff on these issues. Among the specific
microeconomic issues that received particular attention in 2010 were unemployment insurance, health insurance reform, financial regulatory reform,
housing finance, education, access to post-secondary education, small business lending, foreclosure mitigation and prevention, the role of cost-benefit
analysis in regulatory policy, and the economic effects of the Gulf Coast oil
spill.

International Economic Policies
The Council was involved in a range of international trade and
finance issues, with a particular emphasis on the consequences of the international financial crisis and the related global economic slowdown. The
Council was an active participant in discussions at global and bilateral levels.
Council Members and staff regularly met with economists, policy officials,
and government officials of other countries to discuss issues relating to the
global economy and participated in the Strategic and Economic Dialogue
with China in May 2010.
The Council was particularly active in examining policies that could
help the global economy recover from the crisis. It carefully tracked world
economic developments and considered the potential medium-run impacts
of the current crisis. The Council’s role also included policy development
and planning for the G-20 Summits in Toronto and Seoul.
The Council is a leading participant in the Organisation for Economic
Co-operation and Development (OECD), an important forum for economic
cooperation among high-income industrial economies. The Council coordinated and oversaw the OECD’s review of the U.S. economy. Dr. Goolsbee
is chairman of the OECD’s Economic Policy Committee, and Council staff
participates actively in working-party meetings on macroeconomic policy
and coordination.
On the international trade front, the Council was an active
participant in the trade policy process, occupying a seat on the Trade
Policy Staff Committee and the Trade Policy Review Group. The Council
provided analysis and opinions on a range of trade-related issues involving
Activities of the Council of Economic Advisers During 2010

| 173

the enforcement of existing trade agreements, reviews of current U.S. trade
policies, and consideration of future policies. The Council was also an active
participant on the Trade Promotion Coordinating Committee, helping
to examine the ways in which exports may support economic growth in
the years to come. In the area of investment and security, the Council
participated on the Committee on Foreign Investment in the United States
(CFIUS), examining individual cases before the committee. The Council
also provided empirical analysis of the pending free trade agreement with
Korea.

The Staff of the Council of Economic Advisers
The staff of the Council consists of the senior staff, senior economists,
staff economists, research assistants, analysts, and the administrative and
support staff. The staff at the end of 2010 were:

Senior Staff
Senior staff play key managerial and analytical roles at the Council.
They direct operations, perform central Council functions, and represent
the Council in meetings with other agencies and White House offices. The
Executive Director oversees the research staff, as well as the development,
drafting, and production of the Economic Report of the President.
Executive Director
Nan M. Gibson
Chief of Staff
Adam Hitchcock
Chief Economist
Jay C. Shambaugh
Director of Macroeconomic Forecasting
Steven N. Braun

Director of Statistical Office
Adrienne Pilot

Senior Economists

Senior economists are Ph.D. economists on leave from academic
institutions, government agencies, or private research institutions. They
participate actively in the policy process, represent the Council in interagency meetings, and have primary responsibility for the economic analysis
and reports prepared by the Council, including this Report.

174 |

Appendix A

Chad P. Bown..............................
Aaron Chatterji............................
Benjamin Jones............................
Lisa B. Kahn.................................
Arik Levinson..............................
Helen G. Levy..............................
Matthew Magura.........................
Paul A. Smith...............................

International Trade and Investment
Entrepreneurship, Innovation
Macroeconomics, Innovation
Labor, Education
Environment, Regulation
Health
Industrial Organization, Regulation
Housing, Tax, Budget, Retirement

Staff Economists
Staff economists are typically graduate students on leave from their
Ph.D. training in economics. They conduct advanced statistical analysis,
contribute to reports, and generally support the research and analysis
mission of the Council.
Sayeh S. Nikpay...........................
James O’Brien..............................
Jamin D. Speer.............................
Reid B. Stevens............................
Owen Zidar..................................

Health
Energy, Environment
Labor, Education
Macroeconomics
Housing, Finance, Public Finance

Research Assistants
Research assistants are typically college graduates with significant
coursework in economics. They conduct statistical analysis and data collection, and generally support the research and analysis mission of the Council.
Both staff economists and research assistants contribute to this Report and
play a crucial role in ensuring the accuracy of all Council documents.
Ravi P. Deedwania......................
Nicholas W. Hagerty..................
Kia J. McLeod..............................
Pedro Spivakovsky-Gonzalez....
Julia Hanna Yoo..........................

Health, Labor
Environment, Education, Infrastructure
Macroeconomics, Housing, Innovation
International Economics
Macroeconomics

Activities of the Council of Economic Advisers During 2010

| 175

Statistical Office
The Statistical Office gathers, administers, and produces statistical information for the Council. Duties include preparing the statistical
appendix to the Economic Report of the President and the monthly publication Economic Indicators. The staff also creates background materials for
economic analysis and verifies statistical content in Presidential memoranda.
The Office serves as the Council’s liaison to the statistical community.
Brian A. Amorosi........................ Program Analyst
Dagmara A. Mocala.................... Program Analyst

Administrative Office
The Administrative Office provides general support for the Council’s
activities. This includes financial management, ethics compliance, human
resource management, travel, operations of facilities, security, information
technology, and telecommunications management support.
Rosemary M. Rogers................... Administrative Officer
Doris T. Searles............................ Information Management Specialist

Office of the Chairman
Meryl Holt.................................... Special Assistant to the Chairman and
Director of Strategic Initiatives
Andres Bustamante .................... Special Assistant to the Member and
Research Economist
Eric Lesser ................................... Director of Strategic Planning

Staff Support
Lisa D. Branch............................. Executive Assistant
Sharon K. Thomas...................... Administrative Support Assistant

Editorial Staff
Brenda Szittya and Martha Gottron were the editors, and Andres
Bustamante provided research and editorial assistance in the preparation, of
the 2011 Economic Report of the President.

Interns
Student interns provide invaluable help with research projects,
day-to-day operations, and fact-checking. Interns during the year were:
Matthew L. Aks; Ian R. Appel; Michael D. Arena; Laura I. Blum; Kathleen
A. Choi; Greg D. Dyer; Kenneth Friede; Benjamin J. Gettinger; David S.
Gobaud; Max R. Harris; Michael P. Hupp; Peter L. Kerkhof; Michael C.
176 |

Appendix A

Levinson; Devin K. Mattson; Joshua Porter; Ceron J. Rhee; NaYoung Rim;
and Cole L. Scandaglia.

Departures in 2010
Andrew Metrick left his position as Chief Economist of the Council
in July to return to Yale University, where he is the Deputy Dean for Faculty
Development and Theodore Nierenberg Professor of Corporate Finance in
the Yale School of Management. Michael B. Greenstone, Chief Economist
of the Council until January, returned to the Massachusetts Institute of
Technology, where he is the 3M Professor of Environmental Economics.
The senior economists who resigned (with the institutions to which they
returned after leaving the Council in parentheses) were: Elizabeth O. Ananat
(Duke University); Christopher D. Carroll (Johns Hopkins University);
Mark G. Duggan (University of Maryland, College Park); W. Adam
Looney (Brookings Institution); Jesse M. Rothstein (Department of Labor;
University of California, Berkeley); and Ann Wolverton (Environmental
Protection Agency).
The staff economists who departed were Sharon E. Boyd; Gabriel
Chodorow-Reich; Laura J. Feiveson; Joshua K. Goldman; Sarena F.
Goodman; Joshua K. Hausman; Zachary D. Liscow; William G. Woolston;
and Jacqueline T. Yen. Those who served as research assistants at the
Council and departed were Peter N. Ganong, Clare M. Hove, and Michael
P. Shapiro. C. Bennett Blau and Gabrielle A. Elul served as staff assistants.
Archana A. Snyder left her position as Financial Officer to join the
Federal Deposit Insurance Corporation as Financial Management Analyst.
Julia B. Siegel was Special Assistant to the Chair and resigned to join the
Office of Management and Budget as Confidential Assistant.

Publications of the Council
The Council’s annual Economic Report of the President is an
important vehicle for presenting the Administration’s domestic and international economic policies. It is available for purchase through the Government
Printing Office and is viewable on the Internet at www.gpo.gov/erp.
The Council prepared numerous reports in 2010, and the Chairman
and Members gave numerous public speeches and testified to Congress. The
reports, texts of speeches, and written statements accompanying testimony
are available at the Council’s website, www.whitehouse.gov/cea.
Finally, the Council publishes the monthly Economic Indicators, which
is available on-line at www.gpo.gov/economicindicators.

Activities of the Council of Economic Advisers During 2010

| 177

A P P E N D I X

B

STATISTICAL TABLES RELATING TO
INCOME, EMPLOYMENT,
AND PRODUCTION

C O N T E N T S
NATIONAL INCOME OR EXPENDITURE

Page

B–1.

Gross domestic product, 1962–2010 �����������������������������������������������������������������������

188

B–2.

Real gross domestic product, 1962–2010 ���������������������������������������������������������������

190

B–3.

Quantity and price indexes for gross domestic product, and percent changes,
1962–2010 ������������������������������������������������������������������������������������������������������������������

192

B–4.

Percent changes in real gross domestic product, 1962–2010 �������������������������������

193

B–5.

Contributions to percent change in real gross domestic product, 1962–2010���

194

B–6.

Chain-type quantity indexes for gross domestic product, 1962–2010 ���������������

196

B–7.

Chain-type price indexes for gross domestic product, 1962–2010 ���������������������

198

B–8.

Gross domestic product by major type of product, 1962–2010 ��������������������������

200

B–9.

Real gross domestic product by major type of product, 1962–2010 �������������������

201

B–10. Gross value added by sector, 1962–2010 ����������������������������������������������������������������

202

B–11. Real gross value added by sector, 1962–2010 ���������������������������������������������������������

203

B–12. Gross domestic product (GDP) by industry, value added, in current dollars
and as a percentage of GDP, 1979–2009 �����������������������������������������������������������������

204

B–13. Real gross domestic product by industry, value added, and percent changes,
1979–2009 ������������������������������������������������������������������������������������������������������������������

206

B–14. Gross value added of nonfinancial corporate business, 1962–2010 ��������������������

208

B–15. Gross value added and price, costs, and profits of nonfinancial corporate
business, 1962–2010 ��������������������������������������������������������������������������������������������������

209

B–16. Personal consumption expenditures, 1962–2010 ��������������������������������������������������

210

B–17. Real personal consumption expenditures, 1995–2010 �����������������������������������������

211

B–18. Private fixed investment by type, 1962–2010 ���������������������������������������������������������

212

B–19. Real private fixed investment by type, 1995–2010 ������������������������������������������������

213

B–20. Government consumption expenditures and gross investment by type,
1962–2010 ������������������������������������������������������������������������������������������������������������������

214

B–21. Real government consumption expenditures and gross investment by type,
1995–2010 ������������������������������������������������������������������������������������������������������������������

215

B–22. Private inventories and domestic final sales by industry, 1962–2010 �����������������

216

B–23. Real private inventories and domestic final sales by industry, 1962–2010 ���������

217

B–24. Foreign transactions in the national income and product accounts,
1962–2010 ������������������������������������������������������������������������������������������������������������������

218

  181

NATIONAL INCOME OR EXPENDITURE—Continued
B–25. Real exports and imports of goods and services, 1995–2010 ������������������������������

219

B–26. Relation of gross domestic product, gross national product, net national
product, and national income, 1962–2010 �������������������������������������������������������������

220

B–27. Relation of national income and personal income, 1962–2010 ���������������������������

221

B–28. National income by type of income, 1962–2010 ���������������������������������������������������

222

B–29. Sources of personal income, 1962–2010 �����������������������������������������������������������������

224

B–30. Disposition of personal income, 1962–2010 ����������������������������������������������������������

226

B–31. Total and per capita disposable personal income and personal consumption
expenditures, and per capita gross domestic product, in current and real
dollars, 1962–2010 �����������������������������������������������������������������������������������������������������

227

B–32. Gross saving and investment, 1962–2010 ���������������������������������������������������������������

228

B–33. Median money income (in 2009 dollars) and poverty status of families and
people, by race, selected years, 1998–2009 �������������������������������������������������������������

230

POPULATION, EMPLOYMENT, WAGES, AND PRODUCTIVITY
B–34. Population by age group, 1933–2010 ����������������������������������������������������������������������

231

B–35. Civilian population and labor force, 1929–2010 ���������������������������������������������������

232

B–36. Civilian employment and unemployment by sex and age, 1964–2010 ���������������

234

B–37. Civilian employment by demographic characteristic, 1964–2010 ����������������������

235

B–38. Unemployment by demographic characteristic, 1964–2010 ��������������������������������

236

B–39. Civilian labor force participation rate and employment/population ratio,
1964–2010 ������������������������������������������������������������������������������������������������������������������

237

B–40. Civilian labor force participation rate by demographic characteristic,
1970–2010 ������������������������������������������������������������������������������������������������������������������

238

B–41. Civilian employment/population ratio by demographic characteristic,
1970–2010 ������������������������������������������������������������������������������������������������������������������

239

B–42. Civilian unemployment rate, 1964–2010 ����������������������������������������������������������������

240

B–43. Civilian unemployment rate by demographic characteristic, 1970–2010 ����������

241

B–44. Unemployment by duration and reason, 1964–2010 ��������������������������������������������

242

B–45. Unemployment insurance programs, selected data, 1980–2010 �������������������������

243

B–46. Employees on nonagricultural payrolls, by major industry, 1965–2010 ������������

244

B–47. Hours and earnings in private nonagricultural industries, 1964–2010 ��������������

246

B–48. Employment cost index, private industry, 1997–2010 ������������������������������������������

247

B–49. Productivity and related data, business and nonfarm business sectors,
1960–2010 ������������������������������������������������������������������������������������������������������������������

248

B–50. Changes in productivity and related data, business and nonfarm business
sectors, 1960–2010 ����������������������������������������������������������������������������������������������������

249

182 |

Appendix B

PRODUCTION AND BUSINESS ACTIVITY
B–51. Industrial production indexes, major industry divisions, 1962–2010 ����������������

250

B–52. Industrial production indexes, market groupings, 1962–2010 ����������������������������

251

B–53. Industrial production indexes, selected manufacturing industries,
1967–2010 ������������������������������������������������������������������������������������������������������������������

252

B–54. Capacity utilization rates, 1962–2010 ���������������������������������������������������������������������

253

B–55. New construction activity, 1965–2010 ��������������������������������������������������������������������

254

B–56. New private housing units started, authorized, and completed and houses
sold, 1964–2010 ���������������������������������������������������������������������������������������������������������

255

B–57. Manufacturing and trade sales and inventories, 1969–2010 ��������������������������������

256

B–58. Manufacturers’ shipments and inventories, 1969–2010 ���������������������������������������

257

B–59. Manufacturers’ new and unfilled orders, 1969–2010 ��������������������������������������������

258

PRICES
B–60. Consumer price indexes for major expenditure classes, 1967–2010 ������������������

259

B–61. Consumer price indexes for selected expenditure classes, 1967–2010 ���������������

260

B–62. Consumer price indexes for commodities, services, and special groups,
1967–2010 ������������������������������������������������������������������������������������������������������������������

262

B–63. Changes in special consumer price indexes, 1967–2010 ��������������������������������������

263

B–64. Changes in consumer price indexes for commodities and services,
1939–2010 ������������������������������������������������������������������������������������������������������������������

264

B–65. Producer price indexes by stage of processing, 1965–2010 ����������������������������������

265

B–66. Producer price indexes by stage of processing, special groups, 1974–2010 �������

267

B–67. Producer price indexes for major commodity groups, 1965–2010 ���������������������

268

B–68. Changes in producer price indexes for finished goods, 1970–2010 ��������������������

270

MONEY STOCK, CREDIT, AND FINANCE
B–69. Money stock and debt measures, 1970–2010 ���������������������������������������������������������

271

B–70. Components of money stock measures, 1970–2010 ���������������������������������������������

272

B–71. Aggregate reserves of depository institutions and the monetary base,
1980–2010 ������������������������������������������������������������������������������������������������������������������

274

B–72. Bank credit at all commercial banks, 1972–2010 ��������������������������������������������������

275

B–73. Bond yields and interest rates, 1933–2010 �������������������������������������������������������������

276

B–74. Credit market borrowing, 2002–2010 ���������������������������������������������������������������������

278

B–75. Mortgage debt outstanding by type of property and of financing,
1952–2010 ������������������������������������������������������������������������������������������������������������������

280

B–76. Mortgage debt outstanding by holder, 1952–2010 ������������������������������������������������

281

B–77. Consumer credit outstanding, 1959–2010 �������������������������������������������������������������

282

Contents

| 183

GOVERNMENT FINANCE
B–78. Federal receipts, outlays, surplus or deficit, and debt, fiscal years, 1944–2012��

283

B–79. Federal receipts, outlays, surplus or deficit, and debt, as percent of gross
domestic product, fiscal years 1938–2012 ��������������������������������������������������������������

284

B–80. Federal receipts and outlays, by major category, and surplus or deficit, fiscal
years 1944–2012 ��������������������������������������������������������������������������������������������������������

285

B–81. Federal receipts, outlays, surplus or deficit, and debt, fiscal years 2007–2012���

286

B–82. Federal and State and local government current receipts and expenditures,
national income and product accounts (NIPA), 1962–2010 �������������������������������

287

B–83. Federal and State and local government current receipts and expenditures,
national income and product accounts (NIPA), by major type, 1962–2010 �����

288

B–84. Federal Government current receipts and expenditures, national income and
product accounts (NIPA), 1962–2010 ��������������������������������������������������������������������

289

B–85. State and local government current receipts and expenditures, national
income and product accounts (NIPA), 1962–2010 �����������������������������������������������

290

B–86. State and local government revenues and expenditures, selected fiscal years,
1944–2008 ������������������������������������������������������������������������������������������������������������������

291

B–87. U.S. Treasury securities outstanding by kind of obligation, 1972–2010 �������������

292

B–88. Maturity distribution and average length of marketable interest-bearing
public debt securities held by private investors, 1972–2010 ��������������������������������

293

B–89. Estimated ownership of U.S. Treasury securities, 1997–2010 ������������������������������

294

CORPORATE PROFITS AND FINANCE
B–90. Corporate profits with inventory valuation and capital consumption
adjustments, 1962–2010 �������������������������������������������������������������������������������������������

295

B–91. Corporate profits by industry, 1962–2010 ��������������������������������������������������������������

296

B–92. Corporate profits of manufacturing industries, 1962–2010 ���������������������������������

297

B–93. Sales, profits, and stockholders’ equity, all manufacturing corporations,
1968–2010 ������������������������������������������������������������������������������������������������������������������

298

B–94. Relation of profits after taxes to stockholders’ equity and to sales, all
manufacturing corporations, 1960–2010 ���������������������������������������������������������������

299

B–95. Historical stock prices and yields, 1949–2003 �������������������������������������������������������

300

B–96. Common stock prices and yields, 2000–2010 ��������������������������������������������������������

301

AGRICULTURE
B–97. Farm income, 1950–2010 �����������������������������������������������������������������������������������������

302

B–98. Farm business balance sheet, 1952–2010 ���������������������������������������������������������������

303

B–99. Farm output and productivity indexes, 1950–2008 ����������������������������������������������

304

B–100. Farm input use, selected inputs, 1950–2010 �����������������������������������������������������������

305

184 |

Appendix B

AGRICULTURE—Continued
B–101. Agricultural price indexes and farm real estate value, 1975–2010 ����������������������

306

B–102. U.S. exports and imports of agricultural commodities, 1950–2010 ��������������������

307

INTERNATIONAL STATISTICS
B–103. U.S. international transactions, 1952–2010 ������������������������������������������������������������

308

B–104. U.S. international trade in goods by principal end-use category, 1965–2010 ����

310

B–105. U.S. international trade in goods by area, 2002–2010 �������������������������������������������

311

B–106. U.S. international trade in goods on balance of payments (BOP) and Census
basis, and trade in services on BOP basis, 1981–2010 �����������������������������������������

312

B–107. International investment position of the United States at year-end,
2003–2009 ������������������������������������������������������������������������������������������������������������������

313

B–108. Industrial production and consumer prices, major industrial countries,
1984–2010 ������������������������������������������������������������������������������������������������������������������

314

B–109. Civilian unemployment rate, and hourly compensation, major industrial
countries, 1984–2010 ������������������������������������������������������������������������������������������������

315

B–110. Foreign exchange rates, 1990–2010 �������������������������������������������������������������������������

316

B–111. International reserves, selected years, 1982–2010 �������������������������������������������������

317

B–112. Growth rates in real gross domestic product, 1992–2011 ������������������������������������

318

Contents

| 185

General Notes
Detail in these tables may not add to totals because of rounding.
Because of the formula used for calculating real gross domestic
product (GDP), the chained (2005) dollar estimates for the detailed
components do not add to the chained-dollar value of GDP or to
any intermediate aggregate. The Department of Commerce (Bureau
of Economic Analysis) no longer publishes chained-dollar estimates
prior to 1995, except for selected series.
Unless otherwise noted, all dollar figures are in current dollars.
Symbols used:
p Preliminary.
... Not available (also, not applicable).
Data in these tables reflect revisions made by the source agencies
through January 28, 2011. In particular, tables containing national
income and product accounts (NIPA) estimates reflect revisions
released by the Department of Commerce in July 2010.

General Notes

| 187

National Income or Expenditure

Table B–1. Gross domestic product, 1962–2010
[Billions of dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Personal consumption expenditures

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

585.7
617.8
663.6
719.1
787.7
832.4
909.8
984.4
1,038.3
1,126.8
1,237.9
1,382.3
1,499.5
1,637.7
1,824.6
2,030.1
2,293.8
2,562.2
2,788.1
3,126.8
3,253.2
3,534.6
3,930.9
4,217.5
4,460.1
4,736.4
5,100.4
5,482.1
5,800.5
5,992.1
6,342.3
6,667.4
7,085.2
7,414.7
7,838.5
8,332.4
8,793.5
9,353.5
9,951.5
10,286.2
10,642.3
11,142.1
11,867.8
12,638.4
13,398.9
14,061.8
14,369.1
14,119.0
14,660.2
13,789.5
14,008.2
14,158.2
14,291.3
14,328.4
14,471.8
14,484.9
14,191.2
14,049.7
14,034.5
14,114.7
14,277.3
14,446.4
14,578.7
14,745.1
14,870.4

Fixed investment
Total

363.3
382.7
411.5
443.8
480.9
507.8
558.0
605.1
648.3
701.6
770.2
852.0
932.9
1,033.8
1,151.3
1,277.8
1,427.6
1,591.2
1,755.8
1,939.5
2,075.5
2,288.6
2,501.1
2,717.6
2,896.7
3,097.0
3,350.1
3,594.5
3,835.5
3,980.1
4,236.9
4,483.6
4,750.8
4,987.3
5,273.6
5,570.6
5,918.5
6,342.8
6,830.4
7,148.8
7,439.2
7,804.0
8,285.1
8,819.0
9,322.7
9,806.3
10,104.5
10,001.3
10,351.9
9,632.8
9,753.2
9,850.8
9,988.4
10,065.7
10,183.0
10,202.0
9,967.2
9,913.0
9,920.1
10,040.7
10,131.5
10,230.8
10,285.4
10,366.3
10,525.2

See next page for continuation of table.

188 |

Appendix B

Gross private domestic investment

Goods

189.0
198.2
212.3
229.7
249.6
259.0
284.6
304.7
318.8
342.1
373.8
416.6
451.5
491.3
546.3
600.4
663.6
737.9
799.8
869.4
899.3
973.8
1,063.7
1,137.6
1,195.6
1,256.3
1,337.3
1,423.8
1,491.3
1,497.4
1,563.3
1,642.3
1,746.6
1,815.5
1,917.7
2,006.8
2,110.0
2,290.0
2,459.1
2,534.0
2,610.0
2,727.4
2,892.3
3,073.9
3,221.7
3,357.7
3,379.5
3,230.7
3,427.6
3,293.8
3,343.4
3,369.8
3,423.8
3,415.4
3,458.7
3,450.0
3,194.0
3,158.4
3,175.4
3,276.1
3,312.9
3,380.0
3,377.5
3,419.6
3,533.3

Services

174.4
184.6
199.2
214.1
231.3
248.8
273.4
300.4
329.5
359.5
396.4
435.4
481.4
542.5
604.9
677.4
764.1
853.2
956.0
1,070.1
1,176.2
1,314.8
1,437.4
1,580.0
1,701.1
1,840.7
2,012.7
2,170.7
2,344.2
2,482.6
2,673.6
2,841.2
3,004.3
3,171.7
3,355.9
3,563.9
3,808.5
4,052.8
4,371.2
4,614.8
4,829.2
5,076.6
5,392.8
5,745.1
6,100.9
6,448.6
6,725.0
6,770.6
6,924.3
6,339.0
6,409.8
6,481.1
6,564.6
6,650.3
6,724.3
6,751.9
6,773.3
6,754.6
6,744.7
6,764.6
6,818.6
6,850.9
6,907.9
6,946.7
6,991.8

Total

88.1
93.8
102.1
118.2
131.3
128.6
141.2
156.4
152.4
178.2
207.6
244.5
249.4
230.2
292.0
361.3
438.0
492.9
479.3
572.4
517.2
564.3
735.6
736.2
746.5
785.0
821.6
874.9
861.0
802.9
864.8
953.3
1,097.3
1,144.0
1,240.2
1,388.7
1,510.8
1,641.5
1,772.2
1,661.9
1,647.0
1,729.7
1,968.6
2,172.2
2,327.2
2,295.2
2,096.7
1,589.2
1,821.4
2,277.4
2,329.6
2,313.4
2,260.4
2,198.8
2,170.9
2,111.3
1,905.8
1,640.4
1,530.2
1,548.5
1,637.7
1,739.7
1,841.8
1,907.2
1,796.7

Nonresidential
Total

82.0
88.1
97.2
109.0
117.7
118.7
132.1
147.3
150.4
169.9
198.5
228.6
235.4
236.5
274.8
339.0
412.2
474.9
485.6
542.6
532.1
570.1
670.2
714.4
739.9
757.8
803.1
847.3
846.4
803.3
848.5
932.5
1,033.5
1,112.9
1,209.4
1,317.7
1,447.1
1,580.7
1,717.7
1,700.2
1,634.9
1,713.3
1,903.6
2,122.3
2,267.2
2,266.1
2,137.8
1,716.4
1,752.8
2,260.4
2,282.1
2,274.0
2,247.9
2,212.5
2,194.1
2,140.8
2,003.8
1,782.3
1,709.8
1,691.8
1,681.9
1,689.8
1,761.4
1,768.6
1,791.5

Total
53.1
56.0
63.0
74.8
85.4
86.4
93.4
104.7
109.0
114.1
128.8
153.3
169.5
173.7
192.4
228.7
280.6
333.9
362.4
420.0
426.5
417.2
489.6
526.2
519.8
524.1
563.8
607.7
622.4
598.2
612.1
666.6
731.4
810.0
875.4
968.6
1,061.1
1,154.9
1,268.7
1,227.8
1,125.4
1,135.7
1,223.0
1,347.3
1,505.3
1,637.5
1,665.3
1,364.4
1,412.5
1,579.6
1,624.9
1,660.7
1,684.6
1,695.4
1,697.5
1,678.2
1,590.1
1,415.2
1,367.5
1,343.8
1,330.9
1,349.6
1,404.2
1,438.8
1,457.2

EquipStructures ment and
software
20.8
21.2
23.7
28.3
31.3
31.5
33.6
37.7
40.3
42.7
47.2
55.0
61.2
61.4
65.9
74.6
93.6
117.7
136.2
167.3
177.6
154.3
177.4
194.5
176.5
174.2
182.8
193.7
202.9
183.6
172.6
177.2
186.8
207.3
224.6
250.3
275.1
283.9
318.1
329.7
282.8
281.9
306.7
351.8
433.7
524.9
582.4
451.6
381.8
479.5
512.3
545.5
562.2
567.1
584.4
590.4
587.9
507.5
464.0
436.6
398.2
380.1
381.5
380.9
384.7

32.3
34.8
39.2
46.5
54.0
54.9
59.9
67.0
68.7
71.5
81.7
98.3
108.2
112.4
126.4
154.1
187.0
216.2
226.2
252.7
248.9
262.9
312.2
331.7
343.3
349.9
381.0
414.0
419.5
414.6
439.6
489.4
544.6
602.8
650.8
718.3
786.0
871.0
950.5
898.1
842.7
853.8
916.4
995.6
1,071.7
1,112.6
1,082.9
912.8
1,030.7
1,100.1
1,112.6
1,115.1
1,122.4
1,128.3
1,113.2
1,087.9
1,002.2
907.8
903.5
907.2
932.7
969.5
1,022.7
1,057.9
1,072.5

Residential
29.0
32.1
34.3
34.2
32.3
32.4
38.7
42.6
41.4
55.8
69.7
75.3
66.0
62.7
82.5
110.3
131.6
141.0
123.2
122.6
105.7
152.9
180.6
188.2
220.1
233.7
239.3
239.5
224.0
205.1
236.3
266.0
302.1
302.9
334.1
349.1
385.9
425.8
449.0
472.4
509.5
577.6
680.6
775.0
761.9
628.6
472.5
352.1
340.4
680.7
657.2
613.3
563.3
517.1
496.6
462.5
413.7
367.0
342.2
348.0
351.0
340.2
357.2
329.8
334.3

Change
in
private
inventories
6.1
5.6
4.8
9.2
13.6
9.9
9.1
9.2
2.0
8.3
9.1
15.9
14.0
–6.3
17.1
22.3
25.8
18.0
–6.3
29.8
–14.9
–5.8
65.4
21.8
6.6
27.1
18.5
27.7
14.5
–.4
16.3
20.8
63.8
31.2
30.8
71.0
63.7
60.8
54.5
–38.3
12.0
16.4
64.9
50.0
60.0
29.1
–41.1
–127.2
68.5
17.0
47.5
39.4
12.6
–13.7
–23.3
–29.4
–98.0
–141.9
–179.5
–143.3
–44.2
50.0
80.4
138.6
5.2

Table B–1. Gross domestic product, 1962–2010—Continued
[Billions of dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Net exports of
goods and services

Government consumption expenditures
and gross investment

Year or quarter

Federal
Net
exports Exports Imports

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

4.1
4.9
6.9
5.6
3.9
3.6
1.4
1.4
4.0
.6
–3.4
4.1
–.8
16.0
–1.6
–23.1
–25.4
–22.5
–13.1
–12.5
–20.0
–51.7
–102.7
–115.2
–132.5
–145.0
–110.1
–87.9
–77.6
–27.0
–32.8
–64.4
–92.7
–90.7
–96.3
–101.4
–161.8
–262.1
–382.1
–371.0
–427.2
–504.1
–618.7
–722.7
–769.3
–714.0
–710.4
–386.4
–515.5
–725.1
–730.7
–704.4
–695.7
–738.5
–751.9
–763.1
–588.4
–375.7
–335.2
–408.3
–426.4
–479.9
–539.3
–550.5
–492.2

29.1
31.1
35.0
37.1
40.9
43.5
47.9
51.9
59.7
63.0
70.8
95.3
126.7
138.7
149.5
159.4
186.9
230.1
280.8
305.2
283.2
277.0
302.4
302.0
320.3
363.8
443.9
503.1
552.1
596.6
635.0
655.6
720.7
811.9
867.7
954.4
953.9
989.3
1,093.2
1,027.7
1,003.0
1,041.0
1,180.2
1,305.1
1,471.0
1,661.7
1,843.4
1,578.4
1,837.1
1,575.5
1,619.1
1,690.3
1,761.8
1,819.9
1,925.3
1,927.3
1,700.9
1,521.2
1,520.2
1,582.1
1,689.9
1,757.8
1,817.9
1,848.9
1,923.9

25.0
26.1
28.1
31.5
37.1
39.9
46.6
50.5
55.8
62.3
74.2
91.2
127.5
122.7
151.1
182.4
212.3
252.7
293.8
317.8
303.2
328.6
405.1
417.2
452.9
508.7
554.0
591.0
629.7
623.5
667.8
720.0
813.4
902.6
964.0
1,055.8
1,115.7
1,251.4
1,475.3
1,398.7
1,430.2
1,545.1
1,798.9
2,027.8
2,240.3
2,375.7
2,553.8
1,964.7
2,352.6
2,300.6
2,349.8
2,394.7
2,457.5
2,558.4
2,677.2
2,690.4
2,289.3
1,896.9
1,855.3
1,990.5
2,116.3
2,237.6
2,357.1
2,399.4
2,416.0

Total

130.1
136.4
143.2
151.4
171.6
192.5
209.3
221.4
233.7
246.4
263.4
281.7
317.9
357.7
383.0
414.1
453.6
500.7
566.1
627.5
680.4
733.4
796.9
878.9
949.3
999.4
1,038.9
1,100.6
1,181.7
1,236.1
1,273.5
1,294.8
1,329.8
1,374.0
1,421.0
1,474.4
1,526.1
1,631.3
1,731.0
1,846.4
1,983.3
2,112.6
2,232.8
2,369.9
2,518.4
2,674.2
2,878.3
2,914.9
3,002.3
2,604.4
2,656.0
2,698.4
2,738.2
2,802.3
2,869.8
2,934.7
2,906.5
2,872.0
2,919.3
2,933.8
2,934.5
2,955.7
2,990.8
3,022.2
3,040.7

Total
75.2
76.9
78.4
80.4
92.4
104.6
111.3
113.3
113.4
113.6
119.6
122.5
134.5
149.0
159.7
175.4
190.9
210.6
243.7
280.2
310.8
342.9
374.3
412.8
438.4
459.5
461.6
481.4
507.5
526.6
532.9
525.0
518.6
518.8
527.0
531.0
531.0
554.9
576.1
611.7
680.6
756.5
824.6
876.3
931.7
976.3
1,079.9
1,139.6
1,214.4
944.0
968.7
992.1
1,000.6
1,033.4
1,065.2
1,105.5
1,115.4
1,103.2
1,139.8
1,155.4
1,159.9
1,178.1
1,206.7
1,233.9
1,238.7

National Nondefense defense
61.1
61.0
60.2
60.6
71.7
83.4
89.2
89.5
87.6
84.6
86.9
88.1
95.6
103.9
111.1
120.9
130.5
145.2
168.0
196.2
225.9
250.6
281.5
311.2
330.8
350.0
354.7
362.1
373.9
383.1
376.8
363.0
353.8
348.8
354.8
349.8
346.1
361.1
371.0
393.0
437.7
497.9
550.8
589.0
624.9
662.3
737.3
771.6
817.8
637.6
657.0
674.7
679.9
702.1
724.9
762.1
760.2
743.9
769.9
787.3
785.4
796.3
813.0
830.8
831.0

14.1
15.9
18.2
19.8
20.8
21.2
22.0
23.8
25.8
29.1
32.7
34.3
39.0
45.1
48.6
54.5
60.4
65.4
75.8
83.9
84.9
92.3
92.7
101.6
107.6
109.6
106.8
119.3
133.6
143.4
156.1
162.0
164.8
170.0
172.2
181.1
184.9
193.8
205.0
218.7
242.9
258.5
273.9
287.3
306.8
314.0
342.5
368.0
396.6
306.4
311.7
317.4
320.7
331.3
340.3
343.4
355.1
359.4
369.8
368.1
374.5
381.8
393.7
403.1
407.7

State
and
local
54.9
59.5
64.8
71.0
79.2
87.9
98.0
108.2
120.3
132.8
143.8
159.2
183.4
208.7
223.3
238.7
262.7
290.2
322.4
347.3
369.7
390.5
422.6
466.1
510.9
539.9
577.3
619.2
674.2
709.5
740.6
769.8
811.2
855.3
894.0
943.5
995.0
1,076.3
1,154.9
1,234.7
1,302.7
1,356.1
1,408.2
1,493.6
1,586.7
1,697.9
1,798.5
1,775.3
1,788.0
1,660.3
1,687.3
1,706.4
1,737.6
1,768.9
1,804.6
1,829.2
1,791.2
1,768.8
1,779.5
1,778.4
1,774.7
1,777.6
1,784.1
1,788.2
1,802.0

Final
sales of
domestic
product

Gross
domestic
purchases 1

Addendum:
Gross
national
product 2

579.6
612.1
658.8
709.9
774.1
822.6
900.8
975.3
1,036.3
1,118.6
1,228.8
1,366.4
1,485.5
1,644.0
1,807.5
2,007.8
2,268.0
2,544.2
2,794.5
3,097.0
3,268.1
3,540.4
3,865.5
4,195.6
4,453.5
4,709.2
5,081.9
5,454.5
5,786.0
5,992.5
6,326.0
6,646.5
7,021.4
7,383.5
7,807.7
8,261.4
8,729.8
9,292.7
9,896.9
10,324.5
10,630.3
11,125.8
11,802.8
12,588.4
13,339.0
14,032.7
14,410.2
14,246.3
14,591.6
13,772.5
13,960.6
14,118.8
14,278.8
14,342.1
14,495.1
14,514.3
14,289.2
14,191.6
14,214.0
14,258.0
14,321.5
14,396.4
14,498.3
14,606.5
14,865.2

581.6
612.8
656.7
713.5
783.8
828.9
908.5
983.0
1,034.4
1,126.2
1,241.3
1,378.2
1,500.3
1,621.7
1,826.2
2,053.2
2,319.1
2,584.8
2,801.2
3,139.4
3,273.2
3,586.3
4,033.6
4,332.7
4,592.6
4,881.3
5,210.5
5,570.0
5,878.1
6,019.1
6,375.1
6,731.7
7,177.9
7,505.3
7,934.8
8,433.7
8,955.3
9,615.6
10,333.5
10,657.2
11,069.5
11,646.3
12,486.4
13,361.1
14,168.2
14,775.8
15,079.5
14,505.4
15,175.6
14,514.6
14,738.8
14,862.6
14,987.0
15,066.8
15,223.7
15,248.0
14,779.5
14,425.4
14,369.6
14,523.0
14,703.7
14,926.3
15,118.0
15,295.6
15,362.6

589.7
622.2
668.6
724.4
792.8
837.8
915.9
990.5
1,044.7
1,134.4
1,246.4
1,394.9
1,515.0
1,650.7
1,841.4
2,050.4
2,315.3
2,594.2
2,822.3
3,159.8
3,289.7
3,571.7
3,967.2
4,244.0
4,477.7
4,754.0
5,123.8
5,508.1
5,835.0
6,022.0
6,371.4
6,698.5
7,109.2
7,444.3
7,870.1
8,355.8
8,810.8
9,381.3
9,989.2
10,338.1
10,691.4
11,210.8
11,959.0
12,735.5
13,471.3
14,185.1
14,543.6
14,265.3
�������������
13,859.8
14,087.6
14,302.9
14,489.9
14,520.7
14,647.3
14,689.2
14,317.2
14,172.2
14,164.2
14,281.9
14,442.8
14,637.6
14,774.0
14,933.6
�������������

Percent change
from preceding
period
Gross
Gross
domes- domestic
tic
purproduct chases
1
7.5
5.5
7.4
8.4
9.5
5.7
9.3
8.2
5.5
8.5
9.9
11.7
8.5
9.2
11.4
11.3
13.0
11.7
8.8
12.1
4.0
8.7
11.2
7.3
5.8
6.2
7.7
7.5
5.8
3.3
5.8
5.1
6.3
4.7
5.7
6.3
5.5
6.4
6.4
3.4
3.5
4.7
6.5
6.5
6.0
4.9
2.2
–1.7
3.8
5.3
6.5
4.4
3.8
1.0
4.1
.4
–7.9
–3.9
–.4
2.3
4.7
4.8
3.7
4.6
3.4

7.7
5.4
7.2
8.6
9.9
5.7
9.6
8.2
5.2
8.9
10.2
11.0
8.9
8.1
12.6
12.4
13.0
11.5
8.4
12.1
4.3
9.6
12.5
7.4
6.0
6.3
6.7
6.9
5.5
2.4
5.9
5.6
6.6
4.6
5.7
6.3
6.2
7.4
7.5
3.1
3.9
5.2
7.2
7.0
6.0
4.3
2.1
–3.8
4.6
5.4
6.3
3.4
3.4
2.1
4.2
.6
–11.7
–9.2
–1.5
4.3
5.1
6.2
5.2
4.8
1.8

1 Gross domestic product (GDP) less exports of goods and services plus imports of goods and services.
2 GDP plus net income receipts from rest of the world.

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 189

Table B–2. Real gross domestic product, 1962–2010
[Billions of chained (2005) dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Personal consumption expenditures

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
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      III ����������������
      IV ����������������
2009: I ������������������
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      III ����������������
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2010: I ������������������
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Gross
domestic
product

3,072.4
3,206.7
3,392.3
3,610.1
3,845.3
3,942.5
4,133.4
4,261.8
4,269.9
4,413.3
4,647.7
4,917.0
4,889.9
4,879.5
5,141.3
5,377.7
5,677.6
5,855.0
5,839.0
5,987.2
5,870.9
6,136.2
6,577.1
6,849.3
7,086.5
7,313.3
7,613.9
7,885.9
8,033.9
8,015.1
8,287.1
8,523.4
8,870.7
9,093.7
9,433.9
9,854.3
10,283.5
10,779.8
11,226.0
11,347.2
11,553.0
11,840.7
12,263.8
12,638.4
12,976.2
13,228.9
13,228.8
12,880.6
13,248.7
13,089.3
13,194.1
13,268.5
13,363.5
13,339.2
13,359.0
13,223.5
12,993.7
12,832.6
12,810.0
12,860.8
13,019.0
13,138.8
13,194.9
13,278.5
13,382.6

Fixed investment
Total

1,911.2
1,989.9
2,108.4
2,241.8
2,369.0
2,440.0
2,580.7
2,677.4
2,740.2
2,844.6
3,019.5
3,169.1
3,142.8
3,214.1
3,393.1
3,535.9
3,691.8
3,779.5
3,766.2
3,823.3
3,876.7
4,098.3
4,315.6
4,540.4
4,724.5
4,870.3
5,066.6
5,209.9
5,316.2
5,324.2
5,505.7
5,701.2
5,918.9
6,079.0
6,291.2
6,523.4
6,865.5
7,240.9
7,608.1
7,813.9
8,021.9
8,247.6
8,532.7
8,819.0
9,073.5
9,289.5
9,265.0
9,153.9
9,315.7
9,235.2
9,270.5
9,310.0
9,342.3
9,324.1
9,326.2
9,243.5
9,166.3
9,154.1
9,117.0
9,161.6
9,182.9
9,225.4
9,275.7
9,330.6
9,431.2

See next page for continuation of table.

190 |

Appendix B

Gross private domestic investment

Goods

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1,898.6
1,983.6
2,078.2
2,218.6
2,395.3
2,521.7
2,600.9
2,706.6
2,829.9
2,955.3
3,073.9
3,173.9
3,261.6
3,180.3
3,117.4
3,251.8
3,241.1
3,252.4
3,271.9
3,281.0
3,232.6
3,235.2
3,171.4
3,082.3
3,095.7
3,084.0
3,138.2
3,151.8
3,195.4
3,222.6
3,255.2
3,334.1

Services

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4,208.2
4,331.4
4,465.0
4,661.8
4,852.8
5,093.3
5,218.7
5,318.1
5,418.4
5,577.6
5,745.1
5,899.7
6,028.3
6,082.3
6,032.7
6,065.4
5,994.4
6,018.3
6,038.7
6,061.7
6,090.6
6,090.2
6,070.0
6,078.5
6,053.6
6,027.7
6,020.7
6,028.7
6,029.6
6,053.4
6,076.9
6,101.9

Total

332.0
354.3
383.5
437.3
475.8
454.1
480.5
508.5
475.1
529.3
591.9
661.3
612.6
504.1
605.9
697.4
781.5
806.4
717.9
782.4
672.8
735.5
952.1
943.3
936.9
965.7
988.5
1,028.1
993.5
912.7
986.7
1,074.8
1,220.9
1,258.9
1,370.3
1,540.8
1,695.1
1,844.3
1,970.3
1,831.9
1,807.0
1,871.6
2,058.2
2,172.2
2,230.4
2,161.6
1,957.3
1,515.7
1,769.3
2,146.1
2,195.1
2,178.9
2,126.1
2,074.3
2,033.8
1,967.2
1,753.8
1,529.5
1,453.2
1,494.5
1,585.7
1,690.2
1,791.5
1,855.1
1,740.3

Residential

Change
in
private
inventories

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456.1
492.5
501.8
540.4
574.2
580.0
583.3
613.8
664.3
729.5
775.0
718.2
584.2
444.2
342.7
332.5
631.3
611.4
570.6
523.3
482.2
464.4
435.6
394.7
352.7
333.9
342.4
341.7
330.7
350.1
323.3
326.0

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32.1
31.2
77.4
71.6
68.5
60.2
–41.8
12.8
17.3
66.3
50.0
59.4
27.7
–37.6
–113.1
60.4
17.3
44.9
36.1
12.6
–8.2
–20.6
–27.4
–94.3
–125.8
–161.8
–128.2
–36.7
44.1
68.8
121.4
7.2

Nonresidential
Total

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1,235.7
1,346.5
1,470.8
1,630.4
1,782.1
1,913.8
1,877.6
1,798.1
1,856.2
1,992.5
2,122.3
2,171.3
2,132.7
1,997.0
1,630.7
1,692.1
2,127.7
2,147.2
2,140.8
2,114.9
2,081.6
2,057.3
1,993.3
1,855.6
1,663.4
1,619.6
1,622.4
1,617.1
1,630.5
1,702.5
1,708.8
1,726.6

Total
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792.2
866.2
970.8
1,087.4
1,200.9
1,318.5
1,281.8
1,180.2
1,191.0
1,263.0
1,347.3
1,453.9
1,552.0
1,556.6
1,290.8
1,362.2
1,499.0
1,539.1
1,574.1
1,595.9
1,603.7
1,597.0
1,561.5
1,464.2
1,313.7
1,288.3
1,282.9
1,278.3
1,302.6
1,355.3
1,388.0
1,403.1

EquipStructures ment and
software
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342.0
361.4
387.9
407.7
408.2
440.0
433.3
356.6
343.0
346.7
351.8
384.0
438.2
464.2
369.6
317.7
404.8
430.6
454.6
462.9
462.7
471.2
466.9
456.1
399.7
377.8
365.5
335.3
319.3
318.9
316.0
316.7

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493.0
545.4
620.4
710.4
810.9
895.8
866.9
830.3
851.4
917.3
995.6
1,069.6
1,109.0
1,082.0
916.3
1,054.8
1,093.0
1,104.6
1,112.6
1,125.7
1,134.0
1,116.5
1,084.1
993.3
903.4
903.8
913.1
944.7
989.7
1,046.0
1,084.2
1,099.5

Table B–2. Real gross domestic product, 1962–2010—Continued
[Billions of chained (2005) dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Net exports of
goods and services

Government consumption expenditures
and gross investment

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
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      III ����������������
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2008: I ������������������
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      III ����������������
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2009: I ������������������
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2010: I ������������������
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Federal
Net
exports

Exports

Imports

Total

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�������������
�������������
�������������
�������������
�������������
�������������
�������������
–98.8
–110.7
–139.8
–252.6
–356.6
–451.6
–472.1
–548.8
–603.9
–688.0
–722.7
–729.2
–654.9
–504.1
–363.0
–421.1
–696.4
–696.2
–666.6
–560.4
–529.9
–493.8
–514.8
–477.7
–389.2
–342.0
–390.8
–330.1
–338.4
–449.0
–505.0
–392.2

104.0
111.5
124.6
128.1
137.0
140.1
151.1
158.4
175.5
178.4
191.8
228.0
246.0
244.5
255.1
261.3
288.8
317.5
351.7
356.0
328.8
320.3
346.4
357.0
384.4
425.7
493.9
550.6
600.2
640.0
684.0
706.4
768.0
845.7
916.0
1,025.1
1,048.5
1,094.3
1,188.3
1,121.6
1,099.2
1,116.8
1,222.8
1,305.1
1,422.0
1,554.4
1,647.7
1,490.7
1,665.4
1,496.4
1,521.3
1,578.0
1,622.0
1,644.7
1,696.6
1,675.0
1,574.5
1,451.6
1,447.8
1,490.0
1,573.5
1,616.4
1,652.1
1,679.3
1,713.9

126.7
130.1
137.0
151.6
174.1
186.8
214.7
226.9
236.6
249.2
277.2
290.1
283.5
252.0
301.3
334.2
363.2
369.2
344.7
353.8
349.3
393.4
489.1
520.9
565.4
598.9
622.4
649.8
673.0
672.0
719.2
781.4
874.6
944.5
1,026.7
1,165.0
1,301.1
1,450.9
1,639.9
1,593.8
1,648.0
1,720.7
1,910.8
2,027.8
2,151.2
2,209.3
2,151.7
1,853.8
2,086.6
2,192.7
2,217.5
2,244.6
2,182.4
2,174.6
2,190.4
2,189.8
2,052.2
1,840.8
1,789.9
1,880.8
1,903.6
1,954.8
2,101.1
2,184.3
2,106.1

971.1
996.1
1,018.0
1,048.7
1,141.1
1,228.7
1,267.2
1,264.3
1,233.7
1,206.9
1,198.1
1,193.9
1,224.0
1,251.6
1,257.2
1,271.0
1,308.4
1,332.8
1,358.8
1,371.2
1,395.3
1,446.3
1,494.9
1,599.0
1,696.2
1,737.1
1,758.9
1,806.8
1,864.0
1,884.4
1,893.2
1,878.2
1,878.0
1,888.9
1,907.9
1,943.8
1,985.0
2,056.1
2,097.8
2,178.3
2,279.6
2,330.5
2,362.0
2,369.9
2,402.1
2,434.2
2,502.7
2,542.6
2,570.1
2,406.7
2,426.8
2,447.9
2,455.3
2,469.2
2,489.4
2,521.5
2,530.7
2,511.5
2,549.3
2,559.3
2,550.3
2,540.2
2,564.9
2,589.6
2,585.8

Total
�������������
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�������������
�������������
�������������
�������������
�������������
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�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
704.1
696.0
689.1
681.4
694.6
698.1
726.5
779.5
831.1
865.0
876.3
894.9
906.1
971.8
1,027.6
1,077.0
883.6
898.9
919.7
922.2
937.6
955.3
987.5
1,006.9
994.1
1,029.2
1,043.5
1,043.6
1,048.4
1,071.5
1,094.3
1,093.9

National Nondefense defense
�������������
�������������
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�������������
�������������
�������������
�������������
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476.8
470.4
457.2
447.5
455.8
453.5
470.7
505.3
549.2
580.4
589.0
598.4
611.8
657.7
693.0
720.3
595.3
607.3
622.3
622.4
632.7
643.4
673.0
681.6
666.8
693.2
708.3
703.8
704.4
717.1
731.8
728.1

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�������������
�������������
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�������������
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227.5
225.7
231.9
233.7
238.7
244.4
255.5
273.9
281.7
284.6
287.3
296.6
294.2
314.0
334.6
356.8
288.2
291.5
297.3
299.8
304.8
311.9
314.2
325.2
327.3
335.9
335.2
339.8
344.0
354.5
362.6
365.9

State
and
local
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1,183.6
1,211.1
1,254.3
1,303.8
1,361.8
1,400.1
1,452.3
1,500.6
1,499.7
1,497.1
1,493.6
1,507.2
1,528.1
1,532.6
1,518.8
1,499.0
1,522.9
1,527.8
1,528.4
1,533.3
1,532.2
1,535.1
1,536.2
1,526.8
1,520.1
1,523.8
1,520.0
1,511.2
1,496.8
1,499.1
1,501.7
1,498.4

AddenFinal
Gross
dum:
sales of domestic
Gross
domespurnational
tic
1
prodproduct chases
uct 2
3,064.9
3,202.6
3,393.7
3,590.7
3,806.6
3,923.3
4,119.4
4,248.6
4,287.9
4,407.4
4,640.6
4,888.2
4,874.1
4,926.3
5,120.2
5,344.9
5,639.7
5,841.2
5,878.7
5,959.5
5,923.3
6,172.9
6,495.6
6,838.9
7,098.7
7,296.2
7,607.8
7,867.5
8,032.7
8,034.8
8,284.3
8,515.3
8,809.2
9,073.2
9,412.5
9,782.6
10,217.1
10,715.7
11,167.5
11,391.7
11,543.5
11,824.8
12,198.2
12,588.4
12,917.1
13,200.0
13,268.1
12,992.8
13,179.5
13,071.1
13,146.4
13,230.4
13,352.2
13,346.2
13,382.4
13,249.6
13,094.1
12,964.2
12,971.4
12,984.5
13,051.1
13,085.5
13,114.7
13,145.3
13,372.6

3,119.0
3,248.8
3,426.3
3,659.2
3,910.2
4,018.2
4,225.6
4,358.6
4,352.0
4,506.9
4,755.8
4,991.2
4,926.2
4,872.0
5,189.2
5,464.4
5,763.2
5,903.3
5,789.6
5,944.7
5,865.4
6,208.3
6,745.4
7,045.3
7,303.3
7,518.4
7,758.8
7,990.9
8,104.6
8,034.6
8,309.6
8,592.9
8,976.0
9,189.0
9,542.0
9,992.8
10,539.9
11,141.1
11,681.4
11,825.7
12,107.7
12,449.2
12,952.5
13,361.1
13,705.7
13,883.9
13,729.4
13,233.6
13,662.7
13,786.2
13,891.2
13,935.8
13,922.4
13,866.9
13,850.1
13,737.2
13,463.3
13,212.6
13,143.7
13,239.8
13,338.2
13,467.6
13,637.7
13,777.6
13,767.8

3,096.8
3,232.8
3,420.4
3,639.5
3,873.1
3,971.1
4,164.1
4,291.6
4,299.4
4,446.0
4,682.9
4,964.5
4,944.0
4,921.4
5,191.2
5,433.7
5,733.2
5,930.2
5,913.4
6,052.5
5,939.1
6,202.3
6,639.8
6,893.9
7,116.5
7,342.2
7,650.4
7,924.0
8,081.8
8,055.6
8,326.4
8,563.2
8,900.5
9,129.4
9,471.1
9,881.8
10,304.0
10,812.1
11,268.8
11,404.6
11,606.9
11,914.2
12,358.5
12,735.5
13,046.1
13,344.4
13,388.7
13,014.7
�������������
13,155.8
13,269.0
13,404.4
13,548.5
13,516.8
13,519.7
13,408.7
13,109.5
12,945.5
12,929.4
13,013.8
13,170.1
13,313.0
13,372.7
13,449.3
�������������

Percent change
from preceding
period
Gross
Gross
domes- domestic
tic
purproduct chases
1
6.1
4.4
5.8
6.4
6.5
2.5
4.8
3.1
.2
3.4
5.3
5.8
–.6
–.2
5.4
4.6
5.6
3.1
–.3
2.5
–1.9
4.5
7.2
4.1
3.5
3.2
4.1
3.6
1.9
–.2
3.4
2.9
4.1
2.5
3.7
4.5
4.4
4.8
4.1
1.1
1.8
2.5
3.6
3.1
2.7
1.9
.0
–2.6
2.9
.9
3.2
2.3
2.9
–.7
.6
–4.0
–6.8
–4.9
–.7
1.6
5.0
3.7
1.7
2.6
3.2

6.3
4.2
5.5
6.8
6.9
2.8
5.2
3.1
–.2
3.6
5.5
5.0
–1.3
–1.1
6.5
5.3
5.5
2.4
–1.9
2.7
–1.3
5.8
8.7
4.4
3.7
2.9
3.2
3.0
1.4
–.9
3.4
3.4
4.5
2.4
3.8
4.7
5.5
5.7
4.8
1.2
2.4
2.8
4.0
3.2
2.6
1.3
–1.1
–3.6
3.2
.9
3.1
1.3
–.4
–1.6
–.5
–3.2
–7.7
–7.2
–2.1
3.0
3.0
3.9
5.1
4.2
–.3

1 Gross domestic product (GDP) less exports of goods and services plus imports of goods and services.
2 GDP plus net income receipts from rest of the world.

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 191

Table B–3. Quantity and price indexes for gross domestic product, and percent changes,
1962–2010
[Quarterly data are seasonally adjusted]
Percent change from preceding period 1

Index numbers, 2005=100
Gross domestic product (GDP)
Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Real GDP
GDP
(chain-type chain-type
quantity price index
index)
24.310
25.373
26.841
28.565
30.426
31.195
32.705
33.721
33.786
34.920
36.775
38.905
38.691
38.609
40.680
42.550
44.924
46.328
46.200
47.373
46.453
48.552
52.041
54.194
56.071
57.866
60.244
62.397
63.568
63.419
65.571
67.441
70.188
71.953
74.645
77.972
81.367
85.295
88.825
89.783
91.412
93.688
97.036
100.000
102.673
104.672
104.672
101.917
104.829
103.568
104.398
104.985
105.737
105.545
105.702
104.630
102.811
101.537
101.358
101.760
103.012
103.960
104.403
105.065
105.888

19.071
19.273
19.572
19.928
20.493
21.124
22.022
23.110
24.328
25.545
26.647
28.124
30.669
33.577
35.505
37.764
40.413
43.773
47.776
52.281
55.467
57.655
59.823
61.633
63.003
64.763
66.990
69.520
72.213
74.762
76.537
78.222
79.867
81.533
83.083
84.554
85.507
86.766
88.648
90.654
92.113
94.099
96.769
100.000
103.263
106.301
108.598
109.618
110.664
105.366
106.188
106.709
106.940
107.454
108.295
109.488
109.154
109.465
109.555
109.759
109.693
109.959
110.485
111.060
111.153

GDP
implicit
price
deflator
19.062
19.265
19.563
19.919
20.484
21.115
22.012
23.099
24.317
25.533
26.634
28.112
30.664
33.563
35.489
37.751
40.400
43.761
47.751
52.225
55.412
57.603
59.766
61.576
62.937
64.764
66.988
69.518
72.201
74.760
76.533
78.224
79.872
81.536
83.088
84.555
85.511
86.768
88.647
90.650
92.118
94.100
96.770
100.000
103.257
106.296
108.619
109.615
110.654
105.349
106.169
106.706
106.943
107.416
108.330
109.539
109.216
109.484
109.558
109.750
109.665
109.952
110.488
111.045
111.118

Personal consumption
expenditures (PCE)

PCE
Real GDP
PCE
GDP
food (chain-type chain-type
chain-type lessenergy
quantity price index
price index and
price index
index)
19.023
19.245
19.527
19.810
20.313
20.824
21.636
22.616
23.674
24.680
25.525
26.901
29.703
32.184
33.950
36.155
38.687
42.118
46.641
50.810
53.615
55.923
58.038
59.938
61.399
63.589
66.121
68.994
72.147
74.755
76.954
78.643
80.265
82.041
83.826
85.395
86.207
87.596
89.777
91.488
92.736
94.622
97.098
100.000
102.746
105.564
109.061
109.258
111.123
104.311
105.212
105.813
106.919
107.954
109.185
110.367
108.736
108.290
108.810
109.598
110.333
110.901
110.888
111.102
111.602

1 Quarterly percent changes are at annual rates.

Source: Department of Commerce (Bureau of Economic Analysis).

192 |

Appendix B

19.525
19.778
20.081
20.335
20.795
21.432
22.351
23.400
24.498
25.651
26.480
27.492
29.673
32.159
34.114
36.303
38.731
41.550
45.356
49.318
52.501
55.220
57.513
59.695
61.945
64.300
67.088
69.856
72.838
75.673
78.218
80.068
81.836
83.721
85.346
86.981
88.242
89.555
91.111
92.739
94.345
95.784
97.788
100.000
102.292
104.696
107.151
108.774
110.203
103.905
104.344
104.901
105.633
106.301
106.998
107.569
107.735
107.973
108.583
108.990
109.551
109.887
110.171
110.318
110.436

Personal consumption
expenditures (PCE)

Gross domestic product (GDP)

6.1
4.4
5.8
6.4
6.5
2.5
4.8
3.1
.2
3.4
5.3
5.8
–.6
–.2
5.4
4.6
5.6
3.1
–.3
2.5
–1.9
4.5
7.2
4.1
3.5
3.2
4.1
3.6
1.9
–.2
3.4
2.9
4.1
2.5
3.7
4.5
4.4
4.8
4.1
1.1
1.8
2.5
3.6
3.1
2.7
1.9
.0
–2.6
2.9
.9
3.2
2.3
2.9
–.7
.6
–4.0
–6.8
–4.9
–.7
1.6
5.0
3.7
1.7
2.6
3.2

1.4
1.1
1.6
1.8
2.8
3.1
4.3
4.9
5.3
5.0
4.3
5.5
9.0
9.5
5.7
6.4
7.0
8.3
9.1
9.4
6.1
3.9
3.8
3.0
2.2
2.8
3.4
3.8
3.9
3.5
2.4
2.2
2.1
2.1
1.9
1.8
1.1
1.5
2.2
2.3
1.6
2.2
2.8
3.3
3.3
2.9
2.2
.9
1.0
4.4
3.2
2.0
.9
1.9
3.2
4.5
–1.2
1.1
.3
.7
–.2
1.0
1.9
2.1
.3

GDP
implicit
price
deflator
1.4
1.1
1.5
1.8
2.8
3.1
4.2
4.9
5.3
5.0
4.3
5.5
9.1
9.5
5.7
6.4
7.0
8.3
9.1
9.4
6.1
4.0
3.8
3.0
2.2
2.9
3.4
3.8
3.9
3.5
2.4
2.2
2.1
2.1
1.9
1.8
1.1
1.5
2.2
2.3
1.6
2.2
2.8
3.3
3.3
2.9
2.2
.9
.9
4.4
3.2
2.0
.9
1.8
3.4
4.5
–1.2
1.0
.3
.7
–.3
1.1
2.0
2.0
.3

PCE
chain-type
price index
1.2
1.2
1.5
1.4
2.5
2.5
3.9
4.5
4.7
4.2
3.4
5.4
10.4
8.4
5.5
6.5
7.0
8.9
10.7
8.9
5.5
4.3
3.8
3.3
2.4
3.6
4.0
4.3
4.6
3.6
2.9
2.2
2.1
2.2
2.2
1.9
1.0
1.6
2.5
1.9
1.4
2.0
2.6
3.0
2.7
2.7
3.3
.2
1.7
4.0
3.5
2.3
4.2
3.9
4.6
4.4
–5.8
–1.6
1.9
2.9
2.7
2.1
.0
.8
1.8

PCE
less food
and energy
price index
1.4
1.3
1.5
1.3
2.3
3.1
4.3
4.7
4.7
4.7
3.2
3.8
7.9
8.4
6.1
6.4
6.7
7.3
9.2
8.7
6.5
5.2
4.2
3.8
3.8
3.8
4.3
4.1
4.3
3.9
3.4
2.4
2.2
2.3
1.9
1.9
1.4
1.5
1.7
1.8
1.7
1.5
2.1
2.3
2.3
2.4
2.3
1.5
1.3
2.9
1.7
2.2
2.8
2.6
2.6
2.2
.6
.9
2.3
1.5
2.1
1.2
1.0
.5
.4

Table B–4. Percent changes in real gross domestic product, 1962–2010
[Percent change from preceding period; quarterly data at seasonally adjusted annual rates]
Personal consumption
expenditures
Year or quarter

1962 ���������������������
1963 ���������������������
1964 ���������������������
1965 ���������������������
1966 ���������������������
1967 ���������������������
1968 ���������������������
1969 ���������������������
1970 ���������������������
1971 ���������������������
1972 ���������������������
1973 ���������������������
1974 ���������������������
1975 ���������������������
1976 ���������������������
1977 ���������������������
1978 ���������������������
1979 ���������������������
1980 ���������������������
1981 ���������������������
1982 ���������������������
1983 ���������������������
1984 ���������������������
1985 ���������������������
1986 ���������������������
1987 ���������������������
1988 ���������������������
1989 ���������������������
1990 ���������������������
1991 ���������������������
1992 ���������������������
1993 ���������������������
1994 ���������������������
1995 ���������������������
1996 ���������������������
1997 ���������������������
1998 ���������������������
1999 ���������������������
2000 ���������������������
2001 ���������������������
2002 ���������������������
2003 ���������������������
2004 ���������������������
2005 ���������������������
2006 ���������������������
2007 ���������������������
2008 ���������������������
2009 ���������������������
2010 p �������������������
2007: I �����������������
      II ����������������
      III ���������������
      IV ���������������
2008: I �����������������
      II ����������������
      III ���������������
      IV ���������������
2009: I �����������������
      II ����������������
      III ���������������
      IV ���������������
2010: I �����������������
      II ����������������
      III ���������������
      IV p ������������

Gross
domestic
product

6.1
4.4
5.8
6.4
6.5
2.5
4.8
3.1
.2
3.4
5.3
5.8
–.6
–.2
5.4
4.6
5.6
3.1
–.3
2.5
–1.9
4.5
7.2
4.1
3.5
3.2
4.1
3.6
1.9
–.2
3.4
2.9
4.1
2.5
3.7
4.5
4.4
4.8
4.1
1.1
1.8
2.5
3.6
3.1
2.7
1.9
.0
–2.6
2.9
.9
3.2
2.3
2.9
–.7
.6
–4.0
–6.8
–4.9
–.7
1.6
5.0
3.7
1.7
2.6
3.2

Gross private domestic investment

Exports and
imports of goods
and services

Government consumption
expenditures and gross
investment

Exports

Imports

Total

5.0
7.2
11.8
2.8
6.9
2.3
7.9
4.8
10.7
1.7
7.5
18.9
7.9
–.6
4.4
2.4
10.5
9.9
10.8
1.2
–7.6
–2.6
8.2
3.0
7.7
10.8
16.0
11.5
9.0
6.6
6.9
3.3
8.7
10.1
8.3
11.9
2.3
4.4
8.6
–5.6
–2.0
1.6
9.5
6.7
9.0
9.3
6.0
–9.5
11.7
6.4
6.8
15.8
11.6
5.7
13.2
–5.0
–21.9
–27.8
–1.0
12.2
24.4
11.4
9.1
6.8
8.5

11.4
2.7
5.3
10.6
14.9
7.3
14.9
5.7
4.3
5.3
11.3
4.6
–2.3
–11.1
19.6
10.9
8.7
1.7
–6.6
2.6
–1.3
12.6
24.3
6.5
8.5
5.9
3.9
4.4
3.6
–.1
7.0
8.6
11.9
8.0
8.7
13.5
11.7
11.5
13.0
–2.8
3.4
4.4
11.0
6.1
6.1
2.7
–2.6
–13.8
12.6
4.6
4.6
5.0
–10.6
–1.4
2.9
–.1
–22.9
–35.3
–10.6
21.9
4.9
11.2
33.5
16.8
–13.6

Nonresidential fixed
Total

4.9
4.1
6.0
6.3
5.7
3.0
5.8
3.7
2.3
3.8
6.2
5.0
–.8
2.3
5.6
4.2
4.4
2.4
–.4
1.5
1.4
5.7
5.3
5.2
4.1
3.1
4.0
2.8
2.0
.1
3.4
3.6
3.8
2.7
3.5
3.7
5.2
5.5
5.1
2.7
2.7
2.8
3.5
3.4
2.9
2.4
–.3
–1.2
1.8
2.4
1.5
1.7
1.4
–.8
.1
–3.5
–3.3
–.5
–1.6
2.0
.9
1.9
2.2
2.4
4.4

Goods

5.1
4.0
6.0
7.1
6.3
2.0
6.2
3.1
.8
4.2
6.5
5.2
–3.6
.7
7.0
4.3
4.1
1.6
–2.5
1.2
.7
6.4
7.2
5.3
5.6
1.8
3.7
2.5
.6
–2.0
3.2
4.2
5.3
3.0
4.5
4.8
6.8
8.0
5.3
3.1
4.1
4.6
4.4
4.0
3.3
2.8
–2.5
–2.0
4.3
2.3
1.4
2.4
1.1
–5.8
.3
–7.7
–10.8
1.8
–1.5
7.2
1.7
5.7
3.4
4.1
10.1

Services

4.7
4.2
6.0
5.5
5.0
4.1
5.3
4.5
3.9
3.5
5.8
4.7
1.9
3.8
4.3
4.1
4.7
3.1
1.5
1.8
1.9
5.2
3.9
5.2
3.0
4.0
4.2
3.0
3.0
1.5
3.6
3.2
3.0
2.5
2.9
3.1
4.4
4.1
5.0
2.5
1.9
1.9
2.9
3.0
2.7
2.2
.9
–.8
.5
2.4
1.6
1.4
1.5
1.9
.0
–1.3
.6
–1.6
–1.7
–.5
.5
.1
1.6
1.6
1.7

Total

8.7
5.6
11.9
17.4
12.5
–1.3
4.5
7.6
–.5
.0
9.2
14.6
.8
–9.9
4.9
11.3
15.0
10.1
–.3
5.7
–3.8
–1.3
17.6
6.6
–2.9
–.1
5.2
5.6
.5
–5.4
3.2
8.7
9.2
10.5
9.3
12.1
12.0
10.4
9.8
–2.8
–7.9
.9
6.0
6.7
7.9
6.7
.3
–17.1
5.5
6.8
11.1
9.4
5.7
2.0
–1.6
–8.6
–22.7
–35.2
–7.5
–1.7
–1.4
7.8
17.2
10.0
4.4

Structures
4.6
1.2
10.4
15.9
6.8
–2.5
1.4
5.4
.3
–1.6
3.1
8.2
–2.2
–10.5
2.4
4.1
14.4
12.7
5.9
8.0
–1.6
–10.8
13.9
7.1
–11.0
–2.9
.7
2.0
1.5
–11.1
–6.0
–.6
1.8
6.4
5.7
7.3
5.1
.1
7.8
–1.5
–17.7
–3.8
1.1
1.4
9.2
14.1
5.9
–20.4
–14.0
10.7
28.0
24.3
7.4
–.1
7.5
–3.6
–8.9
–41.0
–20.2
–12.4
–29.2
–17.8
–.5
–3.5
.8

Residential
fixed

Equipment
and
software
11.6
8.4
12.8
18.3
16.0
–.7
6.2
8.8
–1.0
1.0
12.9
18.3
2.6
–9.5
6.3
15.1
15.2
8.7
–3.6
4.3
–5.2
5.4
19.8
6.4
1.9
1.4
7.5
7.3
.0
–2.6
7.3
12.5
11.9
12.0
10.6
13.8
14.5
14.1
10.5
–3.2
–4.2
2.5
7.7
8.5
7.4
3.7
–2.4
–15.3
15.1
5.1
4.3
2.9
4.8
3.0
–6.0
–11.1
–29.5
–31.6
.2
4.2
14.6
20.4
24.8
15.4
5.8

9.6
11.8
5.8
–2.9
–8.9
–3.1
13.6
3.0
–6.0
27.4
17.8
–.6
–20.6
–13.0
23.5
21.5
6.3
–3.7
–21.2
–8.0
–18.2
41.4
14.8
1.6
12.3
2.0
–1.0
–3.0
–8.6
–9.6
13.8
8.2
9.7
–3.3
8.0
1.9
7.7
6.3
1.0
.6
5.2
8.2
9.8
6.2
–7.3
–18.7
–24.0
–22.9
–3.0
–16.4
–12.0
–24.1
–29.3
–27.9
–14.0
–22.6
–32.6
–36.2
–19.7
10.6
–.8
–12.3
25.7
–27.3
3.4

6.2
2.6
2.2
3.0
8.8
7.7
3.1
–.2
–2.4
–2.2
–.7
–.4
2.5
2.3
.4
1.1
2.9
1.9
1.9
.9
1.8
3.7
3.4
7.0
6.1
2.4
1.3
2.7
3.2
1.1
.5
–.8
.0
.6
1.0
1.9
2.1
3.6
2.0
3.8
4.7
2.2
1.4
.3
1.4
1.3
2.8
1.6
1.1
–.5
3.4
3.5
1.2
2.3
3.3
5.3
1.5
–3.0
6.1
1.6
–1.4
–1.6
3.9
3.9
–.6

Federal

8.5
.1
–1.3
.0
11.1
10.0
.8
–3.4
–7.4
–7.7
–4.1
–4.2
.9
.3
.0
2.1
2.5
2.4
4.7
4.8
3.9
6.6
3.1
7.8
5.7
3.6
–1.6
1.6
2.0
–.2
–1.8
–3.9
–3.8
–2.7
–1.2
–1.0
–1.1
1.9
.5
4.1
7.3
6.6
4.1
1.3
2.1
1.2
7.3
5.7
4.8
–4.8
7.1
9.6
1.1
6.9
7.8
14.2
8.1
–5.0
14.9
5.7
.0
1.8
9.1
8.8
–.2

State
and
local

3.1
6.0
6.8
6.7
6.3
5.1
5.9
3.4
2.8
3.1
2.2
2.9
3.8
3.7
.7
.4
3.3
1.5
–.1
–2.0
.0
1.2
3.6
6.2
6.4
1.4
3.7
3.7
4.1
2.1
2.2
1.5
2.6
2.7
2.3
3.6
3.9
4.5
2.8
3.7
3.3
–.1
–.2
–.2
.9
1.4
.3
–.9
–1.3
2.1
1.3
.2
1.3
–.3
.8
.3
–2.4
–1.7
1.0
–1.0
–2.3
–3.8
.6
.7
–.9

Note: Percent changes based on unrounded data.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 193

Table B–5. Contributions to percent change in real gross domestic product, 1962–2010
[Percentage points, except as noted; quarterly data at seasonally adjusted annual rates]
Personal consumption expenditures

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product
(percent
change)

6.1
4.4
5.8
6.4
6.5
2.5
4.8
3.1
.2
3.4
5.3
5.8
–.6
–.2
5.4
4.6
5.6
3.1
–.3
2.5
–1.9
4.5
7.2
4.1
3.5
3.2
4.1
3.6
1.9
–.2
3.4
2.9
4.1
2.5
3.7
4.5
4.4
4.8
4.1
1.1
1.8
2.5
3.6
3.1
2.7
1.9
.0
–2.6
2.9
.9
3.2
2.3
2.9
–.7
.6
–4.0
–6.8
–4.9
–.7
1.6
5.0
3.7
1.7
2.6
3.2

Fixed investment
Total

3.10
2.56
3.69
3.91
3.50
1.82
3.51
2.29
1.44
2.37
3.81
3.08
–.52
1.40
3.51
2.66
2.77
1.48
–.22
.95
.86
3.65
3.43
3.32
2.62
2.01
2.64
1.86
1.34
.10
2.27
2.37
2.57
1.81
2.35
2.48
3.50
3.68
3.44
1.85
1.85
1.97
2.42
2.34
2.01
1.65
–.18
–.84
1.27
1.64
1.08
1.20
.98
–.54
.08
–2.46
–2.26
–.34
–1.12
1.41
.69
1.33
1.54
1.67
3.04

See next page for continuation of table.

194 |

Appendix B

Gross private domestic investment

Goods

1.68
1.29
1.91
2.26
2.02
.62
1.92
.95
.24
1.27
1.97
1.57
–1.12
.20
2.08
1.28
1.22
.47
–.74
.34
.19
1.74
1.97
1.41
1.49
.48
.98
.66
.16
–.51
.78
1.02
1.29
.73
1.09
1.16
1.61
1.90
1.29
.77
.99
1.11
1.08
.97
.78
.66
–.60
–.46
1.00
.56
.34
.57
.27
–1.42
.08
–1.86
–2.57
.41
–.32
1.62
.42
1.29
.79
.94
2.26

Services

1.42
1.27
1.78
1.66
1.48
1.21
1.59
1.34
1.19
1.10
1.84
1.51
.60
1.20
1.43
1.38
1.56
1.02
.52
.62
.67
1.91
1.47
1.90
1.13
1.53
1.66
1.20
1.18
.61
1.49
1.35
1.27
1.08
1.26
1.33
1.90
1.78
2.15
1.09
.86
.86
1.34
1.37
1.22
.99
.41
–.38
.27
1.08
.74
.62
.71
.88
.00
–.59
.30
–.75
–.79
–.21
.27
.03
.75
.74
.78

Total

1.81
1.00
1.25
2.16
1.44
–.76
.90
.90
–1.04
1.67
1.87
1.96
–1.31
–2.98
2.84
2.43
2.16
.61
–2.12
1.55
–2.55
1.45
4.63
–.17
–.12
.51
.39
.64
–.53
–1.20
1.07
1.21
1.94
.48
1.35
1.95
1.65
1.50
1.19
–1.24
–.22
.55
1.55
.92
.46
–.53
–1.53
–3.24
1.84
–.65
1.51
–.46
–1.53
–1.47
–1.17
–1.95
–6.32
–6.80
–2.30
1.22
2.70
3.04
2.88
1.80
–3.20

Nonresidential
Total

1.24
1.08
1.37
1.50
.87
–.28
.99
.90
–.31
1.10
1.81
1.47
–1.04
–1.71
1.42
2.18
2.04
1.02
–1.21
.39
–1.21
1.17
2.68
.89
.20
.09
.53
.47
–.32
–.94
.79
1.14
1.30
.94
1.33
1.41
1.70
1.52
1.24
–.32
–.70
.49
1.13
1.05
.39
–.30
–1.02
–2.69
.46
–.15
.62
–.18
–.76
–.98
–.69
–1.83
–4.01
–5.71
–1.26
.12
–.12
.39
2.06
.18
.50

Total
0.78
.50
1.07
1.65
1.29
–.15
.46
.78
–.06
.00
.93
1.50
.09
–1.14
.52
1.19
1.69
1.23
–.03
.74
–.50
–.17
2.05
.82
–.36
–.01
.58
.61
.05
–.57
.31
.83
.91
1.08
1.01
1.33
1.38
1.24
1.20
–.35
–.94
.10
.61
.69
.84
.75
.03
–1.96
.53
.75
1.23
1.06
.67
.25
–.16
–1.00
–2.84
–4.49
–.72
–.13
–.10
.71
1.51
.93
.43

EquipStructures ment and
software
0.16
.04
.36
.57
.27
–.10
.05
.20
.01
–.06
.12
.31
–.09
–.43
.09
.15
.54
.53
.27
.40
–.09
–.57
.60
.32
–.50
–.11
.02
.07
.05
–.39
–.18
–.02
.05
.17
.16
.21
.16
.00
.24
–.05
–.58
–.10
.03
.04
.27
.46
.22
–.81
–.43
.35
.88
.82
.28
.00
.30
–.14
–.36
–1.99
–.76
–.41
–1.01
–.53
–.01
–.09
.02

0.61
.46
.71
1.07
1.02
–.05
.41
.58
–.07
.07
.81
1.19
.18
–.70
.43
1.04
1.15
.71
–.30
.34
–.42
.41
1.45
.50
.15
.10
.55
.54
.00
–.18
.50
.85
.86
.91
.85
1.12
1.22
1.24
.96
–.30
–.36
.20
.58
.65
.58
.29
–.19
–1.15
.97
.40
.35
.24
.39
.25
–.46
–.86
–2.47
–2.50
.04
.28
.91
1.24
1.52
1.02
.41

Residential
0.46
.58
.30
–.15
–.43
–.13
.53
.13
–.26
1.10
.89
–.04
–1.13
–.57
.90
.99
.35
–.21
–1.17
–.35
–.71
1.33
.64
.07
.55
.10
–.05
–.14
–.37
–.37
.47
.31
.39
–.14
.33
.08
.32
.28
.05
.03
.24
.40
.52
.36
–.45
–1.05
–1.05
–.74
–.07
–.91
–.62
–1.24
–1.43
–1.23
–.53
–.84
–1.18
–1.22
–.54
.25
–.02
–.32
.55
–.75
.08

Change
in
private
inventories
0.57
–.08
–.13
.66
.58
–.49
–.10
.00
–.73
.58
.06
.50
–.27
–1.27
1.41
.25
.12
–.41
–.91
1.16
–1.34
.29
1.95
–1.06
–.32
.42
–.14
.17
–.21
–.26
.29
.07
.63
–.46
.02
.54
–.05
–.02
–.05
–.92
.48
.06
.42
–.13
.07
–.23
–.51
–.55
1.38
–.49
.90
–.28
–.77
–.49
–.48
–.12
–2.31
–1.09
–1.03
1.10
2.83
2.64
.82
1.61
–3.70

Table B–5. Contributions to percent change in real gross domestic product,
1962–2010—Continued
[Percentage points, except as noted; quarterly data at seasonally adjusted annual rates]
Government consumption expenditures
and gross investment

Net exports of goods and services
Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Net
exports
–0.21
.24
.36
–.30
–.29
–.22
–.30
–.04
.34
–.19
–.21
.82
.75
.89
–1.08
–.72
.05
.66
1.68
–.15
–.60
–1.35
–1.58
–.42
–.30
.16
.82
.52
.43
.64
–.05
–.57
–.43
.11
–.15
–.32
–1.18
–.99
–.85
–.20
–.65
–.45
–.66
–.27
–.05
.57
1.18
1.13
–.48
–.02
.01
.87
3.21
.84
1.04
–.63
1.50
2.88
1.47
–1.37
1.90
–.31
–3.50
–1.70
3.44

Exports
Total
0.25
.35
.59
.15
.36
.12
.41
.25
.56
.10
.42
1.12
.58
–.05
.37
.20
.82
.82
.97
.12
–.73
–.22
.63
.23
.54
.77
1.24
.99
.81
.63
.68
.32
.85
1.03
.90
1.30
.26
.47
.91
–.61
–.20
.15
.89
.67
.93
1.02
.72
–1.18
1.34
.71
.76
1.71
1.32
.67
1.61
–.66
–3.03
–3.61
–.08
1.30
2.56
1.30
1.08
.82
1.04

Goods
0.17
.29
.52
.02
.27
.02
.30
.20
.44
–.02
.43
1.01
.46
–.16
.31
.08
.68
.77
.86
–.09
–.67
–.19
.46
.20
.26
.56
1.04
.75
.56
.46
.52
.23
.67
.85
.68
1.11
.18
.29
.82
–.48
–.25
.12
.55
.52
.68
.75
.53
–1.04
1.12
.95
.58
.98
.78
.78
1.24
–.41
–2.65
–3.14
–.26
1.29
2.19
1.09
.93
.49
.85

Imports
Services
0.08
.06
.07
.13
.09
.10
.10
.05
.12
.11
–.01
.11
.12
.10
.05
.11
.15
.06
.11
.21
–.06
–.03
.17
.02
.28
.21
.20
.24
.26
.16
.16
.10
.19
.19
.22
.19
.08
.18
.08
–.13
.05
.03
.34
.15
.25
.28
.19
–.15
.22
–.24
.17
.74
.54
–.11
.37
–.25
–.38
–.47
.18
.01
.37
.21
.15
.33
.19

Total
–0.47
–.12
–.23
–.45
–.65
–.34
–.71
–.29
–.22
–.29
–.63
–.29
.18
.94
–1.45
–.92
–.78
–.16
.71
–.27
.12
–1.13
–2.21
–.65
–.84
–.61
–.43
–.48
–.38
.02
–.72
–.90
–1.28
–.92
–1.04
–1.62
–1.43
–1.45
–1.76
.41
–.46
–.60
–1.55
–.94
–.98
–.45
.46
2.32
–1.82
–.73
–.75
–.84
1.89
.18
–.57
.03
4.53
6.48
1.55
–2.67
–.66
–1.61
–4.58
–2.53
2.40

Goods
–0.40
–.12
–.19
–.41
–.49
–.17
–.68
–.20
–.15
–.33
–.57
–.34
.17
.87
–1.35
–.84
–.67
–.14
.67
–.18
.20
–1.01
–1.83
–.52
–.82
–.39
–.36
–.38
–.26
–.04
–.78
–.85
–1.18
–.86
–.94
–1.44
–1.21
–1.31
–1.52
.39
–.42
–.55
–1.29
–.87
–.80
–.42
.52
2.20
–1.72
–.89
–.65
–.72
1.78
.42
–.75
.15
4.82
5.95
1.23
–2.64
–.68
–1.41
–4.46
–2.16
2.29

Federal
Services
–0.07
.00
–.04
–.04
–.16
–.16
–.03
–.09
–.07
.04
–.06
.05
.00
.07
–.10
–.07
–.11
–.02
.04
–.09
–.08
–.13
–.39
–.13
–.02
–.22
–.07
–.09
–.13
.05
.06
–.05
–.10
–.06
–.10
–.17
–.22
–.14
–.24
.02
–.04
–.04
–.26
–.07
–.18
–.04
–.07
.12
–.09
.16
–.10
–.12
.11
–.24
.18
–.12
–.29
.53
.33
–.03
.02
–.20
–.12
–.37
.11

Total
1.36
.58
.49
.65
1.87
1.68
.73
–.05
–.55
–.50
–.16
–.08
.52
.48
.10
.23
.60
.37
.38
.19
.35
.76
.70
1.41
1.27
.51
.26
.55
.64
.22
.10
–.16
.00
.11
.19
.34
.38
.63
.36
.67
.84
.42
.26
.06
.26
.25
.54
.32
.23
–.09
.64
.66
.24
.44
.65
1.04
.31
–.61
1.24
.33
–.28
–.32
.80
.79
–.11

Total
1.07
.01
–.17
–.01
1.24
1.17
.10
–.42
–.86
–.85
–.42
–.41
.08
.03
.00
.19
.22
.20
.39
.42
.35
.63
.30
.74
.55
.35
–.16
.14
.18
–.02
–.16
–.33
–.30
–.20
–.08
–.07
–.07
.12
.03
.24
.44
.43
.28
.09
.15
.09
.51
.43
.39
–.33
.48
.64
.08
.47
.55
1.00
.61
–.40
1.11
.45
.01
.15
.72
.71
–.01

National
defense

Nondefense

0.63
–.25
–.39
–.19
1.21
1.19
.16
–.49
–.83
–.97
–.60
–.39
–.05
–.06
–.02
.07
.05
.17
.25
.38
.48
.50
.35
.60
.47
.35
–.03
–.03
.00
–.07
–.32
–.31
–.27
–.19
–.06
–.13
–.09
.07
–.02
.14
.28
.36
.26
.07
.07
.10
.36
.27
.22
–.34
.38
.47
.01
.32
.34
.93
.28
–.45
.85
.48
–.13
.02
.40
.46
–.11

0.44
.26
.23
.19
.03
–.02
–.06
.06
–.03
.12
.18
–.02
.13
.09
.03
.12
.16
.03
.14
.04
–.13
.13
–.05
.14
.08
.00
–.12
.17
.18
.05
.16
–.02
–.04
–.01
–.02
.06
.02
.04
.05
.09
.15
.07
.02
.02
.07
–.02
.15
.16
.17
.01
.10
.18
.07
.15
.21
.07
.33
.06
.26
–.03
.14
.13
.32
.25
.10

State
and
local
0.29
.57
.65
.66
.63
.51
.63
.37
.31
.36
.26
.33
.44
.45
.09
.04
.38
.17
–.01
–.23
.01
.13
.40
.67
.71
.17
.42
.41
.46
.24
.26
.17
.30
.30
.27
.41
.45
.51
.33
.43
.40
–.01
–.02
–.03
.11
.17
.04
–.11
–.16
.25
.16
.02
.16
–.04
.10
.04
–.30
–.21
.13
–.12
–.29
–.48
.08
.09
–.10

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 195

Table B–6. Chain-type quantity indexes for gross domestic product, 1962–2010
[Index numbers, 2005=100; quarterly data seasonally adjusted]
Personal consumption expenditures

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

24.310
25.373
26.841
28.565
30.426
31.195
32.705
33.721
33.786
34.920
36.775
38.905
38.691
38.609
40.680
42.550
44.924
46.328
46.200
47.373
46.453
48.552
52.041
54.194
56.071
57.866
60.244
62.397
63.568
63.419
65.571
67.441
70.188
71.953
74.645
77.972
81.367
85.295
88.825
89.783
91.412
93.688
97.036
100.000
102.673
104.672
104.672
101.917
104.829
103.568
104.398
104.985
105.737
105.545
105.702
104.630
102.811
101.537
101.358
101.760
103.012
103.960
104.403
105.065
105.888

Fixed investment
Total

21.671
22.564
23.908
25.420
26.862
27.667
29.263
30.359
31.071
32.255
34.239
35.935
35.637
36.445
38.475
40.094
41.862
42.857
42.705
43.353
43.958
46.471
48.935
51.484
53.572
55.225
57.451
59.075
60.281
60.371
62.430
64.647
67.115
68.931
71.336
73.970
77.849
82.106
86.270
88.603
90.962
93.520
96.754
100.000
102.886
105.335
105.057
103.797
105.632
104.719
105.119
105.568
105.933
105.727
105.752
104.813
103.938
103.800
103.379
103.885
104.126
104.608
105.178
105.801
106.942

See next page for continuation of table.

196 |

Appendix B

Gross private domestic investment

Goods

20.915
21.750
23.047
24.679
26.245
26.758
28.415
29.283
29.514
30.749
32.760
34.457
33.200
33.425
35.766
37.301
38.842
39.464
38.464
38.919
39.190
41.684
44.688
47.039
49.670
50.564
52.442
53.766
54.099
53.025
54.696
56.969
59.973
61.765
64.530
67.607
72.175
77.924
82.034
84.611
88.050
92.060
96.141
100.000
103.251
106.105
103.462
101.416
105.788
105.437
105.808
106.440
106.737
105.163
105.245
103.171
100.271
100.709
100.328
102.092
102.533
103.952
104.837
105.898
108.465

Services

21.554
22.470
23.807
25.122
26.367
27.451
28.915
30.204
31.385
32.469
34.346
35.974
36.664
38.040
39.672
41.312
43.234
44.555
45.241
46.053
46.950
49.407
51.341
53.996
55.602
57.818
60.272
62.098
63.942
64.899
67.212
69.363
71.433
73.249
75.394
77.719
81.145
84.469
88.654
90.837
92.568
94.314
97.084
100.000
102.692
104.929
105.870
105.006
105.576
104.340
104.756
105.110
105.512
106.014
106.007
105.655
105.803
105.370
104.919
104.797
104.936
104.952
105.366
105.775
106.211

Total

15.283
16.309
17.654
20.131
21.905
20.903
22.120
23.409
21.871
24.365
27.250
30.443
28.200
23.205
27.893
32.107
35.978
37.125
33.047
36.019
30.972
33.857
43.833
43.425
43.129
44.458
45.504
47.330
45.736
42.016
45.421
49.481
56.204
57.955
63.082
70.932
78.034
84.903
90.704
84.333
83.185
86.162
94.753
100.000
102.678
99.509
90.105
69.778
81.450
98.798
101.054
100.309
97.874
95.494
93.629
90.563
80.735
70.410
66.901
68.800
73.000
77.811
82.474
85.400
80.118

Nonresidential
Total

15.190
16.367
17.948
19.781
20.915
20.530
21.962
23.329
22.838
24.568
27.522
30.037
28.159
25.135
27.613
31.582
35.406
37.404
34.974
35.756
33.249
35.673
41.698
43.891
44.402
44.646
46.118
47.504
46.512
43.496
46.075
50.024
54.703
58.226
63.448
69.302
76.822
83.969
90.178
88.470
84.726
87.464
93.884
100.000
102.309
100.490
94.096
76.835
79.729
100.254
101.176
100.875
99.653
98.082
96.940
93.924
87.437
78.380
76.316
76.447
76.198
76.826
80.219
80.517
81.356

Total
11.666
12.315
13.777
16.177
18.200
17.955
18.756
20.181
20.073
20.074
21.917
25.106
25.316
22.814
23.931
26.632
30.618
33.702
33.613
35.528
34.190
33.748
39.704
42.336
41.126
41.096
43.245
45.660
45.885
43.425
44.811
48.723
53.207
58.801
64.293
72.053
80.707
89.129
97.864
95.137
87.593
88.398
93.743
100.000
107.913
115.193
115.532
95.804
101.107
111.257
114.234
116.829
118.450
119.026
118.533
115.899
108.673
97.501
95.618
95.216
94.879
96.677
100.592
103.019
104.142

Structures
51.393
51.986
57.399
66.553
71.109
69.313
70.299
74.096
74.300
73.082
75.359
81.520
79.755
71.355
73.073
76.079
87.058
98.098
103.837
112.161
110.325
98.404
112.125
120.095
106.935
103.859
104.539
106.616
108.187
96.150
90.354
89.768
91.405
97.235
102.744
110.280
115.911
116.049
125.101
123.191
101.377
97.514
98.571
100.000
109.180
124.578
131.976
105.064
90.322
115.080
122.401
129.246
131.584
131.551
133.949
132.731
129.672
113.638
107.399
103.911
95.310
90.761
90.649
89.848
90.031

Equipment and
software
6.017
6.524
7.356
8.705
10.098
10.031
10.656
11.598
11.482
11.596
13.092
15.494
15.890
14.377
15.276
17.577
20.253
22.022
21.230
22.133
20.982
22.111
26.497
28.180
28.714
29.107
31.302
33.596
33.607
32.743
35.129
39.515
44.227
49.519
54.782
62.315
71.358
81.451
89.976
87.073
83.397
85.516
92.141
100.000
107.434
111.389
108.681
92.035
105.952
109.783
110.948
111.756
113.069
113.906
112.151
108.890
99.775
90.745
90.786
91.716
94.895
99.408
105.067
108.898
110.434

Residential
28.756
32.145
34.013
33.020
30.065
29.119
33.089
34.066
32.028
40.811
48.064
47.756
37.897
32.977
40.743
49.490
52.606
50.676
39.952
36.749
30.077
42.527
48.839
49.612
55.699
56.811
56.235
54.528
49.823
45.035
51.267
55.454
60.845
58.854
63.554
64.756
69.737
74.098
74.839
75.263
79.210
85.724
94.136
100.000
92.679
75.380
57.324
44.220
42.908
81.468
78.895
73.633
67.526
62.228
59.929
56.206
50.934
45.515
43.089
44.185
44.092
42.670
45.177
41.719
42.068

Table B–6. Chain-type quantity indexes for gross domestic product, 1962–2010—Continued
[Index numbers, 2005=100; quarterly data seasonally adjusted]

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Exports of goods and services

Imports of goods and services

Total

Goods

Total

Goods

7.971
8.541
9.547
9.815
10.495
10.737
11.580
12.140
13.445
13.674
14.700
17.471
18.852
18.732
19.550
20.021
22.132
24.326
26.946
27.277
25.193
24.543
26.546
27.352
29.451
32.619
37.844
42.193
45.989
49.042
52.410
54.127
58.847
64.805
70.186
78.550
80.343
83.849
91.054
85.946
84.224
85.574
93.698
100.000
108.962
119.106
126.255
114.228
127.613
114.659
116.567
120.914
124.286
126.025
130.003
128.343
120.649
111.229
110.941
114.174
120.569
123.858
126.592
128.679
131.324

7.494
8.083
9.190
9.239
9.880
9.927
10.713
11.274
12.560
12.511
13.856
17.038
18.391
17.964
18.817
19.063
21.193
23.697
26.521
26.234
23.863
23.177
25.009
25.931
27.263
30.286
35.992
40.281
43.671
46.685
50.177
51.812
56.853
63.505
69.106
79.042
80.805
83.880
93.182
87.414
84.268
85.773
93.025
100.000
109.416
120.087
127.649
112.377
128.772
115.940
118.095
121.704
124.609
127.500
131.899
130.445
120.753
108.793
107.760
112.474
120.484
124.495
127.939
129.762
132.890

6.248
6.416
6.757
7.476
8.587
9.213
10.586
11.189
11.666
12.289
13.672
14.306
13.982
12.428
14.858
16.483
17.911
18.208
16.999
17.446
17.226
19.400
24.122
25.687
27.883
29.532
30.693
32.045
33.191
33.142
35.466
38.532
43.129
46.580
50.631
57.450
64.165
71.550
80.871
78.596
81.270
84.857
94.231
100.000
106.086
108.951
106.113
91.418
102.898
108.133
109.354
110.690
107.624
107.240
108.019
107.988
101.204
90.780
88.266
92.752
93.874
96.401
103.613
107.718
103.861

4.843
5.039
5.372
6.132
7.099
7.473
9.016
9.510
9.882
10.711
12.168
13.027
12.665
11.069
13.572
15.226
16.591
16.876
15.623
15.945
15.544
17.656
21.927
23.299
25.687
26.878
27.966
29.171
30.020
30.156
32.999
36.301
41.149
44.855
49.060
56.130
62.780
70.609
80.086
77.530
80.409
84.363
93.660
100.000
105.904
109.028
105.189
88.615
101.594
108.250
109.518
110.886
107.458
106.567
107.780
107.501
98.908
87.429
85.015
90.324
91.691
94.321
102.690
106.881
102.485

Government consumption expenditures and gross investment
Federal

Services
9.141
9.605
10.180
11.215
11.986
12.932
13.925
14.442
15.729
16.942
16.835
18.025
19.432
20.626
21.236
22.606
24.496
25.250
26.826
29.683
28.860
28.380
30.911
31.279
35.820
39.390
42.939
47.375
52.372
55.505
58.496
60.437
64.275
68.316
73.101
77.436
79.303
83.857
86.102
82.534
84.115
85.107
95.237
100.000
107.935
116.885
123.095
118.303
125.143
111.753
113.108
119.127
123.554
122.674
125.697
123.586
120.424
116.551
117.905
117.933
120.822
122.533
123.708
126.380
127.951

Services
14.954
14.943
15.328
15.779
17.783
19.957
20.315
21.596
22.722
22.075
23.011
22.235
22.210
21.247
22.714
23.846
25.546
25.897
25.319
26.778
28.205
30.483
38.126
41.026
41.488
46.378
47.954
50.278
53.564
52.173
50.768
52.124
54.901
56.556
59.514
64.687
71.721
76.569
84.955
84.292
85.837
87.474
97.252
100.000
107.059
108.539
111.167
106.461
110.203
107.509
108.471
109.642
108.535
111.006
109.302
110.634
113.727
108.622
105.533
105.915
105.772
107.766
108.916
112.601
111.529

Total
40.977
42.032
42.958
44.250
48.149
51.844
53.472
53.347
52.059
50.926
50.556
50.379
51.648
52.812
53.049
53.630
55.210
56.241
57.337
57.860
58.876
61.027
63.078
67.471
71.573
73.300
74.220
76.240
78.655
79.514
79.885
79.253
79.245
79.705
80.507
82.020
83.759
86.761
88.519
91.917
96.192
98.336
99.668
100.000
101.359
102.713
105.605
107.287
108.449
101.552
102.401
103.292
103.606
104.191
105.042
106.400
106.787
105.977
107.569
107.991
107.613
107.185
108.228
109.270
109.113

Total
60.488
60.526
59.725
59.697
66.303
72.903
73.491
70.969
65.738
60.677
58.197
55.748
56.243
56.426
56.453
57.647
59.092
60.519
63.390
66.420
68.989
73.561
75.829
81.771
86.407
89.477
88.010
89.379
91.185
91.000
89.351
85.842
82.555
80.353
79.423
78.641
77.758
79.270
79.661
82.901
88.953
94.839
98.710
100.000
102.127
103.399
110.900
117.266
122.906
100.828
102.582
104.950
105.236
106.995
109.014
112.686
114.906
113.444
117.447
119.085
119.091
119.634
122.276
124.882
124.833

National
defense
74.623
72.838
69.951
68.481
78.306
88.567
90.001
85.556
77.800
68.981
63.588
60.061
59.595
59.030
58.828
59.511
60.019
61.845
64.541
68.628
73.814
79.110
82.971
90.002
95.766
100.301
99.826
99.335
99.305
98.214
93.351
88.401
84.072
80.936
79.856
77.618
75.978
77.386
76.986
79.908
85.782
93.243
98.535
100.000
101.588
103.867
111.653
117.648
122.289
101.066
103.103
105.645
105.655
107.419
109.230
114.255
115.707
113.195
117.684
120.237
119.477
119.582
121.732
124.233
123.610

Nondefense
33.377
36.946
40.157
42.878
43.320
42.913
41.897
43.019
42.567
44.575
47.722
47.429
49.891
51.594
52.085
54.324
57.700
58.309
61.573
62.396
59.402
62.471
61.279
64.900
67.130
67.081
63.499
68.795
74.465
76.170
81.218
80.687
79.525
79.207
78.577
80.737
81.374
83.095
85.066
88.945
95.357
98.071
99.067
100.000
103.237
102.420
109.326
116.467
124.194
100.325
101.492
103.500
104.363
106.119
108.578
109.383
113.223
113.952
116.946
116.687
118.283
119.738
123.410
126.236
127.393

State
and
local
28.818
30.552
32.626
34.813
36.998
38.868
41.168
42.557
43.738
45.077
46.068
47.381
49.164
50.970
51.346
51.532
53.216
53.998
53.958
52.873
52.898
53.514
55.444
58.879
62.669
63.575
65.933
68.340
71.112
72.585
74.156
75.244
77.197
79.247
81.090
83.980
87.291
91.179
93.744
97.236
100.473
100.408
100.234
100.000
100.910
102.311
102.611
101.688
100.361
101.960
102.288
102.334
102.661
102.585
102.781
102.852
102.225
101.777
102.024
101.770
101.179
100.213
100.367
100.541
100.323

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 197

Table B–7. Chain-type price indexes for gross domestic product, 1962–2010
[Index numbers, 2005=100, except as noted; quarterly data seasonally adjusted]
Personal consumption expenditures

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

19.071
19.273
19.572
19.928
20.493
21.124
22.022
23.110
24.328
25.545
26.647
28.124
30.669
33.577
35.505
37.764
40.413
43.773
47.776
52.281
55.467
57.655
59.823
61.633
63.003
64.763
66.990
69.520
72.213
74.762
76.537
78.222
79.867
81.533
83.083
84.554
85.507
86.766
88.648
90.654
92.113
94.099
96.769
100.000
103.263
106.301
108.598
109.618
110.664
105.366
106.188
106.709
106.940
107.454
108.295
109.488
109.154
109.465
109.555
109.759
109.693
109.959
110.485
111.060
111.153

Fixed investment
Total

19.023
19.245
19.527
19.810
20.313
20.824
21.636
22.616
23.674
24.680
25.525
26.901
29.703
32.184
33.950
36.155
38.687
42.118
46.641
50.810
53.615
55.923
58.038
59.938
61.399
63.589
66.121
68.994
72.147
74.755
76.954
78.643
80.265
82.041
83.826
85.395
86.207
87.596
89.777
91.488
92.736
94.622
97.098
100.000
102.746
105.564
109.061
109.258
111.123
104.311
105.212
105.813
106.919
107.954
109.185
110.367
108.736
108.290
108.810
109.598
110.333
110.901
110.888
111.102
111.602

See next page for continuation of table.

198 |

Appendix B

Gross private domestic investment

Goods

29.404
29.648
29.971
30.286
30.953
31.499
32.597
33.860
35.152
36.208
37.135
39.350
44.261
47.837
49.709
52.363
55.576
60.832
67.644
72.669
74.650
75.997
77.435
78.677
78.309
80.827
82.958
86.150
89.678
91.870
92.978
93.786
94.740
95.625
96.676
96.563
95.106
95.603
97.520
97.429
96.430
96.380
97.867
100.000
101.508
102.946
106.262
103.634
105.409
101.626
102.798
102.997
104.362
105.670
106.929
108.807
103.643
102.039
102.974
104.403
105.120
105.784
104.812
105.058
105.982

Services

14.090
14.306
14.573
14.846
15.277
15.786
16.468
17.326
18.287
19.285
20.103
21.078
22.868
24.836
26.558
28.560
30.779
33.353
36.805
40.558
43.712
46.433
48.850
51.053
53.378
55.413
58.127
60.844
63.812
66.586
69.240
71.299
73.205
75.370
77.479
79.817
81.695
83.515
85.824
88.428
90.807
93.692
96.687
100.000
103.411
106.973
110.566
112.233
114.159
105.754
106.510
107.330
108.298
109.191
110.412
111.234
111.428
111.579
111.894
112.355
113.102
113.620
114.116
114.314
114.584

Total

26.548
26.463
26.613
27.037
27.592
28.320
29.378
30.770
32.072
33.671
35.077
36.972
40.648
45.666
48.190
51.805
56.030
61.099
66.836
73.154
76.899
76.706
77.256
78.047
79.737
81.263
83.120
85.107
86.747
87.981
87.672
88.673
89.828
90.840
90.455
90.120
89.109
88.989
89.954
90.748
91.118
92.411
95.632
100.000
104.371
106.211
106.977
104.873
103.023
106.195
106.220
106.164
106.264
106.211
106.482
106.981
108.235
107.111
105.259
103.656
103.466
102.952
102.765
102.895
103.480

Nonresidential
Total

25.465
25.391
25.545
25.981
26.528
27.271
28.367
29.767
31.047
32.611
34.009
35.888
39.422
44.361
46.932
50.616
54.891
59.866
65.468
71.551
75.468
75.349
75.790
76.744
78.579
80.036
82.111
84.099
85.808
87.082
86.831
87.838
89.023
90.060
89.817
89.589
88.756
88.700
89.751
90.553
90.924
92.301
95.541
100.000
104.419
106.256
107.053
105.260
103.613
106.237
106.287
106.221
106.279
106.267
106.617
107.365
107.961
107.140
105.575
104.294
104.030
103.661
103.487
103.523
103.782

Total
33.788
33.784
33.955
34.342
34.854
35.741
36.999
38.527
40.348
42.246
43.673
45.355
49.733
56.581
59.718
63.805
68.078
73.606
80.098
87.832
92.670
91.843
91.621
92.340
93.908
94.753
96.857
98.890
100.783
102.341
101.488
101.540
102.029
102.247
101.054
99.775
97.587
96.173
96.219
95.788
95.363
95.355
96.834
100.000
103.534
105.505
106.984
105.700
103.711
105.393
105.586
105.499
105.541
105.686
106.248
107.431
108.571
107.726
106.162
104.768
104.144
103.639
103.636
103.689
103.883

Structures
11.537
11.636
11.801
12.143
12.580
12.973
13.621
14.518
15.473
16.664
17.863
19.247
21.910
24.534
25.741
27.973
30.675
34.238
37.421
42.567
45.927
44.757
45.147
46.219
47.106
47.863
49.895
51.848
53.522
54.491
54.502
56.103
58.089
60.601
62.141
64.516
67.480
69.559
72.298
76.087
79.292
82.174
88.441
100.000
112.922
119.780
125.460
122.187
120.409
118.548
119.067
120.038
121.466
122.516
123.978
126.424
128.922
127.071
123.006
119.654
119.017
119.291
119.887
120.755
121.705

Equipment and
software
53.878
53.581
53.558
53.607
53.749
54.940
56.416
57.985
60.119
61.905
62.651
63.716
68.414
78.523
83.143
88.083
92.731
98.610
107.032
114.681
119.155
119.406
118.364
118.221
120.094
120.750
122.256
123.786
125.389
127.178
125.681
124.408
123.695
122.265
119.323
115.788
110.641
107.406
106.114
103.603
101.494
100.287
99.897
100.000
100.194
100.326
100.083
99.620
97.710
100.659
100.728
100.220
99.696
99.476
99.668
100.320
100.868
100.461
99.953
99.344
98.721
97.954
97.764
97.574
97.547

Residential
13.003
12.901
13.003
13.372
13.857
14.339
15.100
16.144
16.666
17.632
18.703
20.359
22.460
24.547
26.124
28.759
32.281
35.902
39.789
43.036
45.340
46.380
47.714
48.944
50.994
53.079
54.913
56.680
58.011
58.771
59.486
61.890
64.069
66.403
67.828
69.557
71.412
74.151
77.415
80.994
83.002
86.953
93.296
100.000
106.081
107.613
106.361
102.736
102.356
107.793
107.480
107.500
107.681
107.296
107.012
106.268
104.867
104.094
102.503
101.637
102.712
102.869
102.030
101.994
102.531

Table B–7. Chain-type price indexes for gross domestic product, 1962–2010—Continued
[Index numbers, 2005=100, except as noted; quarterly data seasonally adjusted]
Exports and imports
of goods
and services

Government consumption expenditures
and gross investment

Year or quarter

Federal
Exports

Imports

Total
Total

1962 �����������������
1963 �����������������
1964 �����������������
1965 �����������������
1966 �����������������
1967 �����������������
1968 �����������������
1969 �����������������
1970 �����������������
1971 �����������������
1972 �����������������
1973 �����������������
1974 �����������������
1975 �����������������
1976 �����������������
1977 �����������������
1978 �����������������
1979 �����������������
1980 �����������������
1981 �����������������
1982 �����������������
1983 �����������������
1984 �����������������
1985 �����������������
1986 �����������������
1987 �����������������
1988 �����������������
1989 �����������������
1990 �����������������
1991 �����������������
1992 �����������������
1993 �����������������
1994 �����������������
1995 �����������������
1996 �����������������
1997 �����������������
1998 �����������������
1999 �����������������
2000 �����������������
2001 �����������������
2002 �����������������
2003 �����������������
2004 �����������������
2005 �����������������
2006 �����������������
2007 �����������������
2008 �����������������
2009 �����������������
2010 p ���������������
2007: I �������������
      II ������������
      III �����������
      IV �����������
2008: I �������������
      II ������������
      III �����������
      IV �����������
2009: I �������������
      II ������������
      III �����������
      IV �����������
2010: I �������������
      II ������������
      III �����������
      IV p ��������

27.940
27.877
28.107
29.001
29.877
31.022
31.698
32.771
34.027
35.283
36.928
41.784
51.478
56.738
58.600
60.987
64.703
72.490
79.843
85.744
86.138
86.478
87.280
84.609
83.342
85.451
89.876
91.373
91.993
93.212
92.833
92.808
93.842
95.997
94.727
93.103
90.972
90.408
91.999
91.627
91.253
93.216
96.517
100.000
103.447
106.902
111.874
105.877
110.309
105.319
106.465
107.154
108.672
110.719
113.553
115.137
108.089
104.841
105.031
106.212
107.424
108.771
110.060
110.122
112.282

19.706
20.088
20.512
20.797
21.281
21.364
21.689
22.254
23.570
25.017
26.770
31.423
44.957
48.699
50.165
54.586
58.440
68.434
85.240
89.822
86.794
83.541
82.820
80.100
80.097
84.948
89.011
90.956
93.563
92.783
92.856
92.144
93.009
95.557
93.891
90.627
85.748
86.250
89.963
87.762
86.784
89.796
94.144
100.000
104.144
107.531
118.685
105.987
112.851
104.892
105.936
106.671
112.623
117.728
122.345
122.999
111.669
103.127
103.719
105.879
111.222
114.514
112.234
109.892
114.764

13.398
13.690
14.070
14.444
15.044
15.671
16.520
17.517
18.945
20.421
21.989
23.594
25.977
28.586
30.469
32.583
34.670
37.575
41.669
45.768
48.775
50.717
53.319
54.974
55.977
57.541
59.074
60.924
63.405
65.606
67.276
68.949
70.819
72.753
74.488
75.854
76.879
79.337
82.513
84.764
87.003
90.650
94.531
100.000
104.842
109.863
115.009
114.644
116.815
108.223
109.453
110.245
111.529
113.500
115.290
116.391
114.853
114.356
114.516
114.635
115.067
116.358
116.606
116.706
117.589

14.202
14.506
14.995
15.379
15.914
16.386
17.287
18.226
19.699
21.383
23.471
25.080
27.315
30.158
32.302
34.742
36.888
39.727
43.900
48.165
51.434
53.218
56.358
57.635
57.938
58.642
59.884
61.504
63.548
66.070
68.101
69.830
71.725
73.717
75.763
77.047
77.931
79.886
82.524
84.201
87.318
91.024
95.335
100.000
104.107
107.753
111.119
110.895
112.745
106.849
107.773
107.882
108.509
110.230
111.515
111.958
110.772
110.979
110.743
110.716
111.141
112.375
112.615
112.756
113.234

National Nondefense defense
13.897
14.209
14.620
15.024
15.535
15.994
16.834
17.757
19.116
20.810
23.209
24.911
27.223
29.880
32.057
34.486
36.908
39.853
44.179
48.542
51.953
53.775
57.603
58.696
58.642
59.236
60.326
61.882
63.917
66.222
68.522
69.712
71.438
73.161
75.431
76.517
77.328
79.225
81.821
83.484
86.624
90.659
94.895
100.000
104.421
108.249
112.109
111.342
113.519
107.113
108.191
108.434
109.259
110.975
112.673
113.245
111.544
111.562
111.063
111.153
111.590
113.046
113.377
113.529
114.124

14.783
15.037
15.798
16.104
16.708
17.215
18.327
19.284
21.143
22.746
23.892
25.231
27.245
30.505
32.549
34.993
36.514
39.100
42.906
46.917
49.825
51.501
52.779
54.574
55.915
56.953
58.679
60.497
62.568
65.672
67.034
70.002
72.267
74.830
76.406
78.095
79.120
81.188
83.907
85.612
88.689
91.774
96.234
100.000
103.468
106.743
109.077
109.984
111.159
106.321
106.926
106.755
106.969
108.695
109.122
109.294
109.198
109.794
110.096
109.822
110.222
110.997
111.053
111.170
111.415

State
and
local
12.743
13.028
13.293
13.662
14.334
15.137
15.945
17.013
18.411
19.720
20.896
22.495
24.970
27.410
29.114
31.005
33.042
35.976
40.002
43.975
46.786
48.857
51.034
53.002
54.577
56.849
58.621
60.654
63.474
65.443
66.856
68.494
70.351
72.252
73.806
75.219
76.320
79.036
82.482
85.019
86.810
90.425
94.062
100.000
105.276
111.112
117.349
116.892
119.279
109.033
110.445
111.644
113.326
115.451
117.555
119.075
117.313
116.356
116.779
116.998
117.434
118.760
119.014
119.083
120.258

Final
sales of
domestic
product

18.920
19.125
19.424
19.781
20.346
20.978
21.880
22.968
24.182
25.394
26.494
27.968
30.493
33.389
35.320
37.582
40.232
43.576
47.557
52.029
55.233
57.414
59.573
61.414
62.802
64.552
66.807
69.338
72.040
74.592
76.371
78.057
79.707
81.379
82.953
84.449
85.443
86.720
88.623
90.631
92.089
94.089
96.759
100.000
103.266
106.308
108.608
109.647
110.713
105.371
106.200
106.720
106.941
107.460
108.310
109.539
109.123
109.466
109.579
109.809
109.736
110.020
110.552
111.117
111.163

Gross domestic
purchases 1

Total

18.654
18.871
19.175
19.507
20.054
20.637
21.508
22.563
23.778
25.000
26.112
27.623
30.459
33.300
35.208
37.586
40.252
43.797
48.408
52.864
55.859
57.817
59.854
61.553
62.948
64.923
67.159
69.706
72.540
74.917
76.724
78.339
79.962
81.674
83.150
84.397
84.962
86.304
88.463
90.123
91.422
93.550
96.400
100.000
103.380
106.428
109.813
109.614
111.086
105.297
106.118
106.653
107.644
108.693
109.887
110.953
109.720
109.163
109.326
109.702
110.265
110.838
110.852
111.034
111.618

Percent change 2

Less
food and
energy

Gross
domestic
product

��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
55.358
57.517
59.650
61.521
63.407
65.447
67.839
70.282
72.977
75.470
77.450
79.156
80.873
82.647
84.001
85.266
86.093
87.384
89.163
90.769
92.300
94.177
96.762
100.000
103.157
105.963
108.668
109.422
110.572
105.138
105.662
106.161
106.890
107.706
108.561
109.261
109.146
109.096
109.324
109.429
109.839
110.274
110.491
110.613
110.910

1.4
1.1
1.6
1.8
2.8
3.1
4.3
4.9
5.3
5.0
4.3
5.5
9.0
9.5
5.7
6.4
7.0
8.3
9.1
9.4
6.1
3.9
3.8
3.0
2.2
2.8
3.4
3.8
3.9
3.5
2.4
2.2
2.1
2.1
1.9
1.8
1.1
1.5
2.2
2.3
1.6
2.2
2.8
3.3
3.3
2.9
2.2
.9
1.0
4.4
3.2
2.0
.9
1.9
3.2
4.5
–1.2
1.1
.3
.7
–.2
1.0
1.9
2.1
.3

Gross domestic
purchases 1
Total
1.3
1.2
1.6
1.7
2.8
2.9
4.2
4.9
5.4
5.1
4.4
5.8
10.3
9.3
5.7
6.8
7.1
8.8
10.5
9.2
5.7
3.5
3.5
2.8
2.3
3.1
3.4
3.8
4.1
3.3
2.4
2.1
2.1
2.1
1.8
1.5
.7
1.6
2.5
1.9
1.4
2.3
3.0
3.7
3.4
2.9
3.2
–.2
1.3
4.4
3.2
2.0
3.8
4.0
4.5
3.9
–4.4
–2.0
.6
1.4
2.1
2.1
.1
.7
2.1

Less
food and
energy
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
3.9
3.7
3.1
3.1
3.2
3.7
3.6
3.8
3.4
2.6
2.2
2.2
2.2
1.6
1.5
1.0
1.5
2.0
1.8
1.7
2.0
2.7
3.3
3.2
2.7
2.6
.7
1.1
3.8
2.0
1.9
2.8
3.1
3.2
2.6
–.4
–.2
.8
.4
1.5
1.6
.8
.4
1.1

1 Gross domestic product (GDP) less exports of goods and services plus imports of goods and services.
2 Quarterly percent changes are at annual rates.

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 199

Table B–8. Gross domestic product by major type of product, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Goods

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

Final
sales of
domestic
product

Change
in
private
inventories

585.7
617.8
663.6
719.1
787.7
832.4
909.8
984.4
1,038.3
1,126.8
1,237.9
1,382.3
1,499.5
1,637.7
1,824.6
2,030.1
2,293.8
2,562.2
2,788.1
3,126.8
3,253.2
3,534.6
3,930.9
4,217.5
4,460.1
4,736.4
5,100.4
5,482.1
5,800.5
5,992.1
6,342.3
6,667.4
7,085.2
7,414.7
7,838.5
8,332.4
8,793.5
9,353.5
9,951.5
10,286.2
10,642.3
11,142.1
11,867.8
12,638.4
13,398.9
14,061.8
14,369.1
14,119.0
14,660.2
13,789.5
14,008.2
14,158.2
14,291.3
14,328.4
14,471.8
14,484.9
14,191.2
14,049.7
14,034.5
14,114.7
14,277.3
14,446.4
14,578.7
14,745.1
14,870.4

579.6
612.1
658.8
709.9
774.1
822.6
900.8
975.3
1,036.3
1,118.6
1,228.8
1,366.4
1,485.5
1,644.0
1,807.5
2,007.8
2,268.0
2,544.2
2,794.5
3,097.0
3,268.1
3,540.4
3,865.5
4,195.6
4,453.5
4,709.2
5,081.9
5,454.5
5,786.0
5,992.5
6,326.0
6,646.5
7,021.4
7,383.5
7,807.7
8,261.4
8,729.8
9,292.7
9,896.9
10,324.5
10,630.3
11,125.8
11,802.8
12,588.4
13,339.0
14,032.7
14,410.2
14,246.3
14,591.6
13,772.5
13,960.6
14,118.8
14,278.8
14,342.1
14,495.1
14,514.3
14,289.2
14,191.6
14,214.0
14,258.0
14,321.5
14,396.4
14,498.3
14,606.5
14,865.2

6.1
5.6
4.8
9.2
13.6
9.9
9.1
9.2
2.0
8.3
9.1
15.9
14.0
–6.3
17.1
22.3
25.8
18.0
–6.3
29.8
–14.9
–5.8
65.4
21.8
6.6
27.1
18.5
27.7
14.5
–.4
16.3
20.8
63.8
31.2
30.8
71.0
63.7
60.8
54.5
–38.3
12.0
16.4
64.9
50.0
60.0
29.1
–41.1
–127.2
68.5
17.0
47.5
39.4
12.6
–13.7
–23.3
–29.4
–98.0
–141.9
–179.5
–143.3
–44.2
50.0
80.4
138.6
5.2

Total

Total

Final
sales

247.4
258.5
277.8
304.3
337.1
345.4
370.8
397.6
408.7
432.6
472.0
547.1
588.0
628.6
706.6
773.5
872.6
977.2
1,035.2
1,167.3
1,148.8
1,226.9
1,402.2
1,452.8
1,491.2
1,570.7
1,703.7
1,851.9
1,923.1
1,943.5
2,031.5
2,124.2
2,290.7
2,379.5
2,516.3
2,701.2
2,819.2
2,990.1
3,124.5
3,077.6
3,101.2
3,170.1
3,333.9
3,472.9
3,660.7
3,836.9
3,763.5
3,687.3
4,064.7
3,748.0
3,839.2
3,869.5
3,891.1
3,834.1
3,836.8
3,799.9
3,583.2
3,609.3
3,621.9
3,691.6
3,826.5
3,970.1
3,994.2
4,120.6
4,173.9

241.3
252.9
273.0
295.1
323.5
335.5
361.7
388.4
406.7
424.4
462.9
531.2
574.0
634.8
689.5
751.2
846.8
959.2
1,041.5
1,137.5
1,163.7
1,232.6
1,336.8
1,431.0
1,484.7
1,543.6
1,685.2
1,824.2
1,908.5
1,943.9
2,015.1
2,103.4
2,226.9
2,348.3
2,485.5
2,630.2
2,755.5
2,929.3
3,070.0
3,115.9
3,089.1
3,153.7
3,269.0
3,422.9
3,600.7
3,807.8
3,804.6
3,814.5
3,996.1
3,731.0
3,791.7
3,830.1
3,878.5
3,847.8
3,860.1
3,829.4
3,681.3
3,751.2
3,801.4
3,834.8
3,870.7
3,920.1
3,913.8
3,982.0
4,168.7

Durable goods
Change
in
private
inventories
6.1
5.6
4.8
9.2
13.6
9.9
9.1
9.2
2.0
8.3
9.1
15.9
14.0
–6.3
17.1
22.3
25.8
18.0
–6.3
29.8
–14.9
–5.8
65.4
21.8
6.6
27.1
18.5
27.7
14.5
–.4
16.3
20.8
63.8
31.2
30.8
71.0
63.7
60.8
54.5
–38.3
12.0
16.4
64.9
50.0
60.0
29.1
–41.1
–127.2
68.5
17.0
47.5
39.4
12.6
–13.7
–23.3
–29.4
–98.0
–141.9
–179.5
–143.3
–44.2
50.0
80.4
138.6
5.2

Final
sales
102.0
108.6
119.3
131.6
145.4
150.0
162.8
175.7
178.6
186.7
208.4
243.6
262.4
293.2
330.9
374.6
424.9
483.9
512.3
554.8
552.5
592.3
665.9
727.9
758.3
785.3
863.3
939.7
973.2
967.6
1,010.7
1,072.9
1,149.8
1,225.9
1,321.0
1,430.7
1,524.2
1,633.8
1,734.4
1,731.5
1,678.9
1,694.2
1,748.0
1,855.9
1,951.5
2,058.2
2,031.8
1,915.9
2,025.9
2,010.4
2,051.3
2,063.1
2,108.1
2,088.0
2,072.4
2,041.1
1,925.5
1,901.1
1,906.4
1,920.7
1,935.5
1,974.2
1,993.2
2,026.3
2,109.8

Change
in
private
inventories 1
3.4
2.6
3.8
6.2
10.0
4.8
4.5
6.0
–.2
2.9
6.4
13.0
10.9
–7.5
10.8
9.5
18.2
12.8
–2.3
7.3
–16.0
2.5
41.4
4.4
–1.9
22.9
22.7
20.0
7.7
–13.6
–3.0
17.1
35.7
33.6
19.1
40.0
39.3
37.4
35.6
–44.4
17.7
13.0
37.3
35.2
25.9
11.2
–25.7
–114.4
41.8
11.4
5.8
7.5
19.9
–19.4
–33.1
–2.4
–48.0
–143.3
–144.5
–109.6
–60.2
26.7
55.3
77.4
7.8

Nondurable goods
Final
sales
139.3
144.3
153.7
163.5
178.0
185.5
198.9
212.7
228.2
237.7
254.5
287.6
311.7
341.6
358.6
376.6
422.0
475.3
529.2
582.6
611.2
640.3
670.9
703.1
726.4
758.3
821.9
884.5
935.3
976.3
1,004.4
1,030.4
1,077.1
1,122.4
1,164.5
1,199.5
1,231.3
1,295.5
1,335.6
1,384.4
1,410.3
1,459.5
1,521.1
1,567.0
1,649.3
1,749.6
1,772.9
1,898.6
1,970.3
1,720.6
1,740.3
1,767.0
1,770.4
1,759.9
1,787.6
1,788.2
1,755.8
1,850.1
1,895.0
1,914.1
1,935.2
1,945.9
1,920.6
1,955.7
2,058.9

Change
in
private
inventories 1
2.7
3.0
1.0
3.0
3.6
5.0
4.5
3.2
2.2
5.3
2.7
2.9
3.1
1.2
6.3
12.8
7.6
5.2
–4.0
22.5
1.1
–8.2
24.0
17.4
8.4
4.2
–4.3
7.7
6.8
13.2
19.3
3.7
28.1
–2.4
11.7
31.0
24.4
23.4
19.0
6.2
–5.6
3.3
27.6
14.7
34.0
17.9
–15.4
–12.8
26.7
5.6
41.7
31.9
–7.4
5.7
9.8
–27.0
–50.0
1.4
–35.0
–33.7
16.0
23.2
25.1
61.2
–2.6

Services 2

270.4
286.6
307.4
330.1
362.6
397.5
439.1
478.6
519.9
565.8
619.0
672.2
745.8
842.4
926.8
1,029.9
1,147.2
1,271.7
1,431.6
1,606.9
1,759.9
1,939.1
2,102.9
2,305.9
2,488.7
2,668.0
2,881.7
3,101.2
3,343.9
3,548.6
3,788.1
3,985.1
4,187.2
4,396.7
4,625.5
4,882.5
5,159.7
5,485.1
5,878.0
6,208.7
6,535.5
6,891.7
7,319.3
7,802.1
8,285.5
8,792.1
9,251.0
9,320.5
9,571.3
8,608.1
8,720.7
8,849.3
8,990.1
9,123.2
9,256.0
9,326.5
9,298.4
9,258.2
9,296.5
9,326.8
9,400.4
9,466.2
9,548.2
9,605.3
9,665.3

Structures

67.8
72.7
78.4
84.7
88.0
89.6
100.0
108.3
109.7
128.4
146.9
162.9
165.6
166.7
191.2
226.8
273.9
313.3
321.3
352.6
344.5
368.7
425.8
458.7
480.1
497.6
515.0
529.0
533.5
499.9
522.7
558.1
607.3
638.5
696.7
748.6
814.5
878.2
949.0
999.9
1,005.7
1,080.4
1,214.5
1,363.4
1,452.7
1,432.8
1,354.5
1,111.3
1,024.2
1,433.4
1,448.3
1,439.4
1,410.1
1,371.0
1,379.0
1,358.4
1,309.6
1,182.2
1,116.1
1,096.3
1,050.4
1,010.1
1,036.3
1,019.2
1,031.2

1 Estimates for durable and nondurable goods for 1996 and earlier periods are based on the Standard Industrial Classification (SIC); later estimates are based
on the North American Industry Classification System (NAICS).
2 Includes government consumption expenditures, which are for services (such as education and national defense) produced by government. In current
dollars, these services are valued at their cost of production.
Source: Department of Commerce (Bureau of Economic Analysis).

200 |

Appendix B

Table B–9. Real gross domestic product by major type of product, 1962–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]
Goods

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

Final
sales of
domestic
product

Change
in
private
inventories

3,072.4
3,206.7
3,392.3
3,610.1
3,845.3
3,942.5
4,133.4
4,261.8
4,269.9
4,413.3
4,647.7
4,917.0
4,889.9
4,879.5
5,141.3
5,377.7
5,677.6
5,855.0
5,839.0
5,987.2
5,870.9
6,136.2
6,577.1
6,849.3
7,086.5
7,313.3
7,613.9
7,885.9
8,033.9
8,015.1
8,287.1
8,523.4
8,870.7
9,093.7
9,433.9
9,854.3
10,283.5
10,779.8
11,226.0
11,347.2
11,553.0
11,840.7
12,263.8
12,638.4
12,976.2
13,228.9
13,228.8
12,880.6
13,248.7
13,089.3
13,194.1
13,268.5
13,363.5
13,339.2
13,359.0
13,223.5
12,993.7
12,832.6
12,810.0
12,860.8
13,019.0
13,138.8
13,194.9
13,278.5
13,382.6

3,064.9
3,202.6
3,393.7
3,590.7
3,806.6
3,923.3
4,119.4
4,248.6
4,287.9
4,407.4
4,640.6
4,888.2
4,874.1
4,926.3
5,120.2
5,344.9
5,639.7
5,841.2
5,878.7
5,959.5
5,923.3
6,172.9
6,495.6
6,838.9
7,098.7
7,296.2
7,607.8
7,867.5
8,032.7
8,034.8
8,284.3
8,515.3
8,809.2
9,073.2
9,412.5
9,782.6
10,217.1
10,715.7
11,167.5
11,391.7
11,543.5
11,824.8
12,198.2
12,588.4
12,917.1
13,200.0
13,268.1
12,992.8
13,179.5
13,071.1
13,146.4
13,230.4
13,352.2
13,346.2
13,382.4
13,249.6
13,094.1
12,964.2
12,971.4
12,984.5
13,051.1
13,085.5
13,114.7
13,145.3
13,372.6

21.9
20.3
17.3
32.9
47.1
33.9
30.8
30.3
5.6
25.0
25.7
39.0
29.1
–12.8
34.3
43.1
45.6
28.0
–9.3
39.0
–19.7
–7.7
78.3
25.4
8.5
33.2
21.9
30.6
16.6
–1.4
17.9
22.3
69.3
32.1
31.2
77.4
71.6
68.5
60.2
–41.8
12.8
17.3
66.3
50.0
59.4
27.7
–37.6
–113.1
60.4
17.3
44.9
36.1
12.6
–8.2
–20.6
–27.4
–94.3
–125.8
–161.8
–128.2
–36.7
44.1
68.8
121.4
7.2

Total

Total

649.3
675.1
720.3
780.7
848.6
850.9
884.9
915.4
907.7
934.7
998.5
1,104.7
1,094.1
1,066.8
1,150.5
1,205.8
1,286.8
1,340.0
1,328.3
1,388.2
1,316.8
1,373.7
1,544.0
1,581.0
1,627.1
1,692.7
1,798.0
1,900.2
1,920.1
1,887.6
1,964.7
2,040.3
2,183.8
2,264.0
2,387.7
2,573.9
2,723.0
2,914.0
3,056.3
3,006.9
3,059.2
3,164.0
3,326.2
3,472.9
3,652.7
3,803.3
3,784.4
3,642.4
4,045.4
3,723.0
3,779.9
3,810.8
3,899.6
3,887.6
3,886.2
3,776.9
3,587.0
3,565.5
3,562.3
3,621.2
3,820.4
3,994.7
3,987.0
4,058.5
4,141.7

Durable goods

Nondurable goods

Final
sales

Change
in
private
inventories

Final
sales

Change
in
private
inventories 1

Final
sales

Change
in
private
inventories 1

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2,241.1
2,363.9
2,509.8
2,663.0
2,855.8
3,002.8
3,043.6
3,047.4
3,146.1
3,260.9
3,422.9
3,593.5
3,775.7
3,829.9
3,766.9
3,971.2
3,706.4
3,732.4
3,773.4
3,890.7
3,898.4
3,914.6
3,807.9
3,698.8
3,711.3
3,740.2
3,758.4
3,857.8
3,937.8
3,900.7
3,913.9
4,132.4

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32.1
31.2
77.4
71.6
68.5
60.2
–41.8
12.8
17.3
66.3
50.0
59.4
27.7
–37.6
–113.1
60.4
17.3
44.9
36.1
12.6
–8.2
–20.6
–27.4
–94.3
–125.8
–161.8
–128.2
–36.7
44.1
68.8
121.4
7.2

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1,023.0
1,110.9
1,222.7
1,341.5
1,476.4
1,590.5
1,614.7
1,596.7
1,656.3
1,740.4
1,855.9
1,964.4
2,101.6
2,119.8
2,005.3
2,155.7
2,033.8
2,082.4
2,115.3
2,174.8
2,162.2
2,170.8
2,134.2
2,012.2
1,980.7
1,987.6
2,016.4
2,036.4
2,091.0
2,118.0
2,157.7
2,256.1

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31.4
17.9
40.2
40.6
39.5
37.7
–46.4
18.1
13.5
38.1
35.2
25.2
10.8
–23.4
–106.7
37.9
11.1
5.7
7.1
19.2
–17.8
–29.3
–1.6
–44.9
–133.7
–135.3
–102.1
–55.6
24.4
50.0
69.9
7.0

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1,260.0
1,286.7
1,309.9
1,334.3
1,385.0
1,411.8
1,428.2
1,451.9
1,490.5
1,520.6
1,567.0
1,629.2
1,675.8
1,710.9
1,754.8
1,813.3
1,672.8
1,651.8
1,660.6
1,718.1
1,737.6
1,745.2
1,677.0
1,684.0
1,724.2
1,745.4
1,737.1
1,812.4
1,839.0
1,780.3
1,758.4
1,875.4

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–3.3
12.5
36.1
29.5
27.7
21.4
7.3
–6.4
3.6
28.1
14.7
34.1
16.9
–14.7
–9.6
23.1
6.1
38.6
28.5
–5.8
8.4
6.6
–24.4
–49.2
3.5
–29.8
–28.5
16.3
20.0
19.8
52.3
.5

Services 2

2,007.2
2,090.3
2,189.4
2,299.1
2,441.0
2,576.9
2,712.7
2,800.8
2,858.2
2,926.8
3,034.7
3,125.5
3,194.6
3,309.1
3,400.2
3,517.0
3,651.5
3,740.1
3,811.2
3,887.4
3,956.9
4,120.1
4,234.1
4,448.8
4,635.2
4,785.3
4,961.3
5,114.8
5,269.3
5,363.0
5,521.7
5,647.9
5,781.2
5,902.5
6,045.3
6,208.3
6,421.7
6,663.6
6,918.7
7,095.4
7,275.6
7,416.0
7,613.1
7,802.1
7,985.0
8,169.6
8,291.4
8,278.2
8,345.9
8,097.1
8,136.7
8,197.4
8,247.1
8,276.9
8,298.8
8,294.7
8,294.9
8,262.9
8,280.2
8,276.3
8,293.2
8,293.4
8,331.5
8,367.9
8,390.8

Structures

554.2
591.7
631.5
663.1
663.9
654.2
694.5
703.3
673.0
735.5
790.2
807.1
723.4
657.6
719.2
787.2
862.8
887.4
823.0
811.9
742.6
796.3
903.9
951.0
965.1
969.3
967.6
961.0
941.9
869.1
902.4
930.5
978.4
988.9
1,053.1
1,097.8
1,155.1
1,202.2
1,245.3
1,254.1
1,223.2
1,263.6
1,325.6
1,363.4
1,341.1
1,267.0
1,166.9
973.6
904.7
1,276.3
1,286.1
1,270.9
1,234.9
1,195.0
1,194.4
1,165.3
1,112.8
1,010.8
975.0
974.9
933.5
895.8
918.7
900.0
904.4

1 Estimates for durable and nondurable goods for 1996 and earlier periods are based on the Standard Industrial Classification (SIC); later estimates are based
on the North American Industry Classification System (NAICS).
2 Includes government consumption expenditures, which are for services (such as education and national defense) produced by government. In current
dollars, these services are valued at their cost of production.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 201

Table B–10. Gross value added by sector, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Business 1
Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

585.7
617.8
663.6
719.1
787.7
832.4
909.8
984.4
1,038.3
1,126.8
1,237.9
1,382.3
1,499.5
1,637.7
1,824.6
2,030.1
2,293.8
2,562.2
2,788.1
3,126.8
3,253.2
3,534.6
3,930.9
4,217.5
4,460.1
4,736.4
5,100.4
5,482.1
5,800.5
5,992.1
6,342.3
6,667.4
7,085.2
7,414.7
7,838.5
8,332.4
8,793.5
9,353.5
9,951.5
10,286.2
10,642.3
11,142.1
11,867.8
12,638.4
13,398.9
14,061.8
14,369.1
14,119.0
14,660.2
13,789.5
14,008.2
14,158.2
14,291.3
14,328.4
14,471.8
14,484.9
14,191.2
14,049.7
14,034.5
14,114.7
14,277.3
14,446.4
14,578.7
14,745.1
14,870.4

Total

463.9
488.0
524.9
570.7
624.3
653.6
713.5
769.1
802.2
868.3
957.1
1,077.4
1,164.5
1,265.8
1,420.7
1,590.0
1,809.4
2,028.5
2,186.1
2,454.0
2,514.9
2,741.1
3,065.5
3,283.9
3,461.5
3,662.0
3,940.2
4,235.7
4,453.9
4,558.6
4,829.2
5,084.1
5,425.2
5,677.8
6,030.2
6,442.8
6,810.8
7,249.0
7,715.5
7,913.6
8,132.8
8,502.8
9,084.6
9,695.5
10,284.1
10,771.4
10,863.5
10,520.8
11,018.7
10,559.6
10,748.6
10,851.5
10,925.9
10,895.2
10,986.5
10,952.9
10,619.1
10,471.6
10,442.6
10,508.0
10,660.9
10,823.2
10,938.2
11,102.7
11,210.8

Nonfarm 1

445.5
469.5
507.5
550.7
603.5
633.5
693.0
746.3
778.5
842.9
927.5
1,030.6
1,120.3
1,220.1
1,377.7
1,546.5
1,758.7
1,968.4
2,134.7
2,389.0
2,454.5
2,696.2
3,001.3
3,220.5
3,402.1
3,600.5
3,879.4
4,162.0
4,376.6
4,488.0
4,748.9
5,012.7
5,341.3
5,608.7
5,936.9
6,354.9
6,731.6
7,177.8
7,641.9
7,837.4
8,060.5
8,410.3
8,966.4
9,593.5
10,191.1
10,656.5
10,732.3
10,416.8
10,893.5
10,449.9
10,639.1
10,739.1
10,797.9
10,750.3
10,852.8
10,822.4
10,503.7
10,368.2
10,342.0
10,407.8
10,549.3
10,710.6
10,822.2
10,973.2
11,067.8

Households and institutions

Farm

18.4
18.5
17.3
19.9
20.8
20.1
20.5
22.8
23.7
25.4
29.7
46.8
44.2
45.6
43.0
43.5
50.7
60.1
51.4
65.0
60.4
44.9
64.2
63.4
59.5
61.5
60.7
73.8
77.3
70.6
80.4
71.4
83.9
69.1
93.3
87.9
79.2
71.2
73.6
76.2
72.3
92.4
118.3
102.0
93.1
114.9
131.1
104.0
125.2
109.7
109.5
112.4
128.0
144.9
133.7
130.5
115.5
103.4
100.6
100.3
111.6
112.6
116.0
129.5
142.9

Total

51.0
54.3
57.7
61.8
66.6
71.8
77.5
85.4
92.6
102.2
111.4
121.7
133.6
147.5
160.5
175.5
196.9
220.8
253.5
287.5
319.3
348.2
380.3
410.1
442.3
482.8
529.7
574.2
624.0
665.9
711.1
752.1
800.0
852.1
897.0
949.2
1,010.1
1,082.9
1,157.2
1,232.9
1,298.0
1,347.2
1,423.8
1,506.4
1,602.9
1,685.8
1,808.0
1,838.1
1,840.4
1,650.8
1,665.0
1,694.5
1,733.1
1,768.0
1,799.0
1,823.0
1,842.1
1,833.3
1,829.9
1,843.0
1,846.1
1,833.8
1,836.8
1,840.4
1,850.7

Households

37.0
39.1
41.2
43.6
46.2
49.1
51.9
56.0
59.8
65.5
70.8
76.5
83.0
90.8
98.7
107.9
121.3
136.0
156.5
177.8
196.7
212.5
231.0
250.3
268.0
288.0
313.1
337.2
363.3
383.7
405.3
428.3
461.3
492.2
519.8
550.9
583.9
628.4
673.5
719.5
746.0
762.7
806.0
864.4
924.8
968.1
1,048.8
1,059.0
1,043.0
946.9
953.0
973.0
999.4
1,020.6
1,045.7
1,060.1
1,068.8
1,066.4
1,052.2
1,060.5
1,056.8
1,046.4
1,044.7
1,041.0
1,039.9

Nonprofit
institutions
serving
households 2
14.0
15.2
16.5
18.2
20.4
22.7
25.6
29.4
32.8
36.7
40.5
45.2
50.6
56.7
61.8
67.6
75.6
84.8
97.0
109.7
122.7
135.6
149.3
159.8
174.3
194.8
216.6
237.0
260.6
282.2
305.9
323.8
338.7
359.9
377.2
398.3
426.3
454.5
483.7
513.4
552.1
584.5
617.7
642.0
678.1
717.8
759.2
779.1
797.4
703.8
712.0
721.5
733.7
747.4
753.3
762.8
773.4
766.9
777.6
782.5
789.3
787.4
792.1
799.4
810.7

General government 3

Total

70.7
75.5
81.1
86.6
96.8
107.0
118.8
130.0
143.5
156.4
169.4
183.2
201.3
224.5
243.5
264.6
287.5
313.0
348.5
385.3
419.0
445.4
485.1
523.4
556.3
591.5
630.6
672.2
722.7
767.6
801.9
831.2
859.9
884.8
911.3
940.3
972.5
1,021.6
1,078.8
1,139.6
1,211.4
1,292.2
1,359.3
1,436.5
1,512.0
1,604.6
1,697.6
1,760.2
1,801.0
1,579.2
1,594.5
1,612.3
1,632.4
1,665.2
1,686.3
1,709.0
1,729.9
1,744.8
1,762.0
1,763.6
1,770.3
1,789.4
1,803.7
1,802.0
1,808.9

Federal

36.5
38.4
40.7
42.4
47.2
51.5
56.3
59.9
64.0
67.7
71.5
73.9
79.6
87.3
93.8
102.0
109.7
117.6
131.2
147.4
161.2
171.2
192.1
205.0
212.6
223.3
234.8
246.4
258.8
274.8
282.0
285.2
285.2
283.6
287.6
290.0
292.2
300.4
315.1
324.9
351.8
382.9
412.0
438.7
460.6
486.0
517.1
551.7
579.2
481.2
484.8
487.6
490.5
505.9
513.6
520.7
528.2
543.0
551.9
553.1
558.6
572.7
580.6
579.9
583.5

State
and
local
34.2
37.1
40.4
44.2
49.6
55.5
62.5
70.0
79.5
88.6
97.9
109.3
121.8
137.2
149.7
162.6
177.8
195.4
217.3
237.9
257.7
274.1
293.1
318.4
343.7
368.2
395.8
425.8
463.9
492.8
519.9
546.0
574.7
601.2
623.7
650.3
680.3
721.2
763.7
814.7
859.6
909.3
947.3
997.7
1,051.3
1,118.6
1,180.5
1,208.5
1,221.8
1,097.9
1,109.8
1,124.6
1,141.9
1,159.3
1,172.7
1,188.3
1,201.7
1,201.7
1,210.1
1,210.5
1,211.7
1,216.7
1,223.1
1,222.1
1,225.4

Addendum:
Gross
housing
value
added
46.0
48.9
51.6
54.9
58.2
62.1
65.9
71.3
76.7
83.9
91.1
98.3
106.8
117.2
126.6
140.5
155.5
172.9
199.8
228.8
255.7
277.7
301.3
333.1
359.7
385.5
415.3
443.4
477.8
508.1
538.6
562.9
602.6
640.7
671.3
708.6
745.3
798.3
849.9
904.4
932.5
938.2
988.7
1,054.0
1,130.8
1,200.6
1,302.6
1,331.7
1,323.4
1,168.6
1,182.4
1,209.5
1,242.0
1,265.9
1,294.8
1,317.0
1,332.9
1,335.1
1,324.4
1,335.1
1,332.2
1,324.2
1,323.8
1,322.4
1,323.4

1 Gross domestic business value added equals gross domestic product excluding gross value added of households and institutions and of general
government. Nonfarm value added equals gross domestic business value added excluding gross farm value added.
2 Equals compensation of employees of nonprofit institutions, the rental value of nonresidential fixed assets owned and used by nonprofit institutions serving
households, and rental income of persons for tenant-occupied housing owned by nonprofit institutions.
3 Equals compensation of general government employees plus general government consumption of fixed capital.
Source: Department of Commerce (Bureau of Economic Analysis).

202 |

Appendix B

Table B–11. Real gross value added by sector, 1962–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]
Business 1
Year or quarter

Gross
domestic
product

Total

Nonfarm 1

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

3,072.4
3,206.7
3,392.3
3,610.1
3,845.3
3,942.5
4,133.4
4,261.8
4,269.9
4,413.3
4,647.7
4,917.0
4,889.9
4,879.5
5,141.3
5,377.7
5,677.6
5,855.0
5,839.0
5,987.2
5,870.9
6,136.2
6,577.1
6,849.3
7,086.5
7,313.3
7,613.9
7,885.9
8,033.9
8,015.1
8,287.1
8,523.4
8,870.7
9,093.7
9,433.9
9,854.3
10,283.5
10,779.8
11,226.0
11,347.2
11,553.0
11,840.7
12,263.8
12,638.4
12,976.2
13,228.9
13,228.8
12,880.6
13,248.7
13,089.3
13,194.1
13,268.5
13,363.5
13,339.2
13,359.0
13,223.5
12,993.7
12,832.6
12,810.0
12,860.8
13,019.0
13,138.8
13,194.9
13,278.5
13,382.6

2,092.6
2,189.2
2,328.0
2,492.3
2,661.0
2,712.0
2,846.8
2,934.0
2,933.3
3,046.0
3,242.1
3,469.4
3,417.5
3,385.6
3,609.2
3,810.1
4,050.1
4,184.6
4,137.4
4,252.5
4,123.7
4,345.8
4,723.2
4,942.5
5,126.9
5,295.7
5,522.7
5,727.3
5,815.3
5,764.3
5,991.8
6,185.0
6,488.2
6,670.8
6,974.6
7,335.7
7,702.4
8,132.8
8,500.9
8,569.1
8,736.6
9,005.9
9,379.9
9,695.5
9,991.7
10,195.0
10,099.6
9,730.8
10,091.0
10,074.9
10,173.2
10,229.6
10,302.1
10,250.2
10,236.1
10,077.6
9,834.3
9,678.5
9,671.5
9,709.4
9,863.6
9,984.1
10,028.7
10,122.7
10,228.7

2,058.9
2,155.2
2,299.7
2,462.6
2,638.6
2,684.1
2,824.8
2,910.9
2,907.7
3,018.2
3,218.8
3,454.8
3,404.1
3,348.6
3,583.4
3,783.0
4,032.5
4,159.7
4,114.9
4,202.5
4,066.9
4,328.5
4,684.5
4,886.4
5,076.1
5,245.2
5,484.5
5,678.1
5,759.9
5,707.0
5,921.3
6,128.2
6,414.2
6,617.8
6,909.4
7,261.4
7,633.5
8,060.6
8,417.8
8,491.9
8,655.9
8,914.8
9,282.0
9,593.5
9,892.3
10,104.6
9,994.8
9,619.8
9,977.0
9,980.7
10,083.4
10,145.6
10,208.7
10,143.3
10,134.7
9,974.1
9,727.1
9,567.6
9,562.2
9,596.0
9,753.5
9,874.1
9,913.0
10,005.3
10,115.3

Households and institutions

Farm

24.9
25.7
24.9
26.5
25.5
27.6
26.6
27.5
28.3
29.8
29.8
29.5
28.8
34.3
32.7
34.5
33.3
36.3
35.2
46.5
48.8
31.9
43.3
52.9
50.8
51.3
45.6
52.3
56.0
56.9
66.2
57.8
70.5
56.4
65.3
72.5
69.4
72.8
83.5
77.7
81.2
91.6
97.9
102.0
99.1
90.3
102.3
108.5
111.6
93.7
89.8
85.1
92.9
103.7
99.7
101.3
104.7
108.7
106.6
111.5
107.4
107.2
113.2
114.8
111.3

Total

368.9
384.0
399.9
419.7
438.9
457.1
480.1
501.2
510.2
531.7
554.8
574.6
597.7
617.9
628.2
637.5
666.4
695.3
730.9
754.1
778.9
801.0
826.8
841.2
863.4
895.8
937.2
974.8
1,009.6
1,038.5
1,071.4
1,106.9
1,140.0
1,175.5
1,199.8
1,240.5
1,280.2
1,325.5
1,376.2
1,407.0
1,417.3
1,417.8
1,457.4
1,506.4
1,539.8
1,571.9
1,630.1
1,621.7
1,624.9
1,559.8
1,563.5
1,574.9
1,589.5
1,606.1
1,630.6
1,639.8
1,643.9
1,633.2
1,608.7
1,620.9
1,624.0
1,623.0
1,628.1
1,624.7
1,623.6

Nonprofit
institutions
serving
households 2

Households

217.9
226.9
236.0
246.9
256.8
267.1
274.6
285.9
292.6
305.9
319.1
330.6
345.0
354.2
360.9
365.0
387.4
405.0
430.6
444.1
452.1
460.5
476.4
487.4
493.7
506.8
525.7
542.0
555.7
572.0
589.0
603.5
631.9
651.3
665.4
687.6
703.7
740.3
774.1
793.1
789.9
787.1
821.7
864.4
898.0
914.2
959.3
952.4
942.7
901.6
905.0
917.9
932.4
942.1
960.6
966.2
968.5
959.6
945.2
952.1
952.7
947.3
946.8
940.8
935.8

146.6
152.6
159.4
168.6
178.5
186.6
204.9
214.9
216.7
224.5
234.4
242.7
251.0
262.5
265.8
271.3
276.7
287.8
297.1
306.8
324.3
338.5
348.3
351.2
368.0
388.0
411.1
432.9
454.9
467.4
483.5
504.9
508.7
524.8
535.0
553.5
577.8
585.3
601.8
613.4
627.7
631.1
635.9
642.0
642.0
657.8
671.2
669.7
682.0
658.2
658.5
657.2
657.5
664.4
670.5
674.1
675.9
674.0
663.9
669.2
671.7
675.8
681.2
683.6
687.3

General government 3

Total

721.3
742.8
768.4
794.2
843.9
888.7
923.6
947.2
950.8
952.4
950.6
954.9
974.4
990.1
998.7
1,009.2
1,028.5
1,039.5
1,054.4
1,060.2
1,071.0
1,077.9
1,091.3
1,122.5
1,150.1
1,175.3
1,205.8
1,234.6
1,266.2
1,279.4
1,283.7
1,286.5
1,286.8
1,287.7
1,289.8
1,299.6
1,314.3
1,326.3
1,349.4
1,373.7
1,401.4
1,418.2
1,426.8
1,436.5
1,445.0
1,462.5
1,496.8
1,520.5
1,529.2
1,454.7
1,458.0
1,464.5
1,472.8
1,482.7
1,491.4
1,503.2
1,509.8
1,513.1
1,521.8
1,522.2
1,525.0
1,527.0
1,533.3
1,528.0
1,528.5

Federal

393.2
396.7
400.7
403.4
429.9
457.9
465.7
467.1
447.1
426.5
405.8
390.7
389.4
387.3
387.9
389.0
393.9
393.5
399.7
405.9
412.5
422.0
431.6
443.9
451.8
463.6
469.3
475.1
483.8
486.7
476.5
467.4
452.2
435.1
423.2
415.2
410.4
407.1
410.5
412.1
420.2
431.5
435.8
438.7
438.4
441.8
459.0
485.6
502.9
439.5
439.0
443.3
445.1
449.6
454.5
462.2
469.8
475.0
485.3
489.5
492.8
497.5
504.8
503.6
505.6

State
and
local
338.5
356.1
377.5
400.5
424.2
442.1
468.6
490.0
511.7
532.5
550.9
570.2
590.9
608.9
616.9
626.4
641.0
652.4
661.2
660.9
665.2
662.5
666.4
685.6
705.4
719.0
743.6
766.4
789.2
799.4
813.0
824.2
838.5
855.1
868.4
885.6
904.6
919.5
939.0
961.3
980.9
986.7
991.0
997.7
1,006.5
1,020.8
1,037.8
1,035.3
1,027.1
1,015.1
1,019.0
1,021.3
1,027.6
1,033.2
1,036.9
1,041.1
1,040.1
1,038.3
1,036.9
1,033.2
1,032.7
1,030.1
1,029.3
1,025.3
1,023.8

Addendum:
Gross
housing
value
added
265.9
278.9
291.6
307.1
320.9
335.6
348.3
364.6
376.6
393.6
412.5
427.8
448.5
462.2
469.3
481.2
503.2
523.0
555.0
576.7
592.3
605.4
624.6
649.1
661.1
676.8
696.4
712.2
730.2
754.6
776.7
789.1
821.7
846.9
860.4
885.6
900.9
942.3
977.8
997.8
988.5
969.3
1,008.4
1,054.0
1,098.6
1,132.4
1,185.2
1,190.3
1,188.2
1,113.0
1,122.1
1,139.1
1,155.5
1,164.1
1,183.5
1,193.5
1,199.7
1,193.6
1,182.0
1,191.7
1,193.8
1,190.6
1,191.4
1,187.3
1,183.5

1 Gross domestic business value added equals gross domestic product excluding gross value added of households and institutions and of general
government. Nonfarm value added equals gross domestic business value added excluding gross farm value added.
2 Equals compensation of employees of nonprofit institutions, the rental value of nonresidential fixed assets owned and used by nonprofit institutions serving
households, and rental income of persons for tenant-occupied housing owned by nonprofit institutions.
3 Equals compensation of general government employees plus general government consumption of fixed capital.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 203

Table B–12. Gross domestic product (GDP) by industry, value added, in current dollars and
as a percentage of GDP, 1979–2009
[Billions of dollars; except as noted]
Private industries
Year

Gross
domestic
product

Total
private
industries

Agriculture,
forestry,
fishing,
and
hunting

Manufacturing
Mining

Construction

Total
manufacturing

Durable
goods

Nondurable
goods

Utilities

Wholesale
trade

Retail
trade

Value added
1979 �����������
1980 �����������
1981 �����������
1982 �����������
1983 �����������
1984 �����������
1985 �����������
1986 �����������
1987 �����������
1988 �����������
1989 �����������
1990 �����������
1991 �����������
1992 �����������
1993 �����������
1994 �����������
1995 �����������
1996 �����������
1997 �����������
1998 �����������
1999 �����������
2000 �����������
2001 �����������
2002 �����������
2003 �����������
2004 �����������
2005 �����������
2006 �����������
2007 �����������
2008 �����������
2009 �����������

2,562.2
2,788.1
3,126.8
3,253.2
3,534.6
3,930.9
4,217.5
4,460.1
4,736.4
5,100.4
5,482.1
5,800.5
5,992.1
6,342.3
6,667.4
7,085.2
7,414.7
7,838.5
8,332.4
8,793.5
9,353.5
9,951.5
10,286.2
10,642.3
11,142.1
11,867.8
12,638.4
13,398.9
14,061.8
14,369.1
14,119.0

2,216.8
2,404.8
2,701.6
2,791.4
3,041.7
3,393.0
3,634.6
3,840.4
4,077.9
4,395.3
4,729.7
4,994.3
5,133.2
5,442.0
5,735.9
6,119.9
6,420.0
6,812.6
7,271.0
7,694.4
8,199.6
8,736.1
9,010.8
9,289.3
9,706.8
10,360.1
11,052.5
11,731.1
12,301.9
12,514.0
12,196.5

70.2
62.1
75.6
71.6
57.2
77.0
76.6
73.7
78.8
78.1
91.6
95.7
88.3
99.3
90.6
105.6
91.3
114.2
108.4
100.3
92.8
95.6
98.6
94.4
115.6
142.7
127.1
122.5
144.7
160.1
133.1

59.1
90.8
121.5
118.5
102.8
107.2
106.2
70.3
73.1
74.1
78.6
88.4
79.5
73.6
74.4
75.9
76.7
90.0
94.8
81.0
82.0
108.9
119.3
109.5
134.8
159.3
192.0
229.0
254.2
317.1
240.8

Percent
1979 �����������
1980 �����������
1981 �����������
1982 �����������
1983 �����������
1984 �����������
1985 �����������
1986 �����������
1987 �����������
1988 �����������
1989 �����������
1990 �����������
1991 �����������
1992 �����������
1993 �����������
1994 �����������
1995 �����������
1996 �����������
1997 �����������
1998 �����������
1999 �����������
2000 �����������
2001 �����������
2002 �����������
2003 �����������
2004 �����������
2005 �����������
2006 �����������
2007 �����������
2008 �����������
2009 �����������

100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

124.8
131.5
133.1
131.0
139.6
160.7
177.0
197.2
210.1
226.5
238.6
243.6
228.8
233.2
250.4
277.2
294.2
320.9
346.7
383.7
428.4
467.3
490.5
494.3
515.9
554.4
611.7
651.1
657.2
623.4
537.5

544.9
558.3
619.6
606.5
657.5
731.8
751.4
777.4
823.1
900.2
950.2
968.9
976.7
1,016.7
1,058.9
1,127.3
1,180.9
1,208.5
1,277.3
1,326.7
1,368.1
1,415.6
1,343.9
1,355.5
1,374.0
1,482.7
1,568.0
1,651.5
1,698.9
1,647.6
1,584.8

334.6
339.2
376.2
359.2
385.5
451.0
458.6
468.4
492.5
537.9
562.4
558.9
554.2
574.5
603.0
650.2
675.4
705.0
748.9
781.2
802.4
839.1
758.8
767.8
766.2
822.0
877.6
923.1
942.8
927.3
867.2

210.3
219.2
243.4
247.3
272.0
280.7
292.8
308.9
330.6
362.2
387.7
410.1
422.5
442.2
456.0
477.1
505.5
503.5
528.3
545.6
565.6
576.5
585.2
587.8
607.9
660.6
690.4
728.4
756.1
720.3
717.6

53.8
61.0
72.0
83.2
94.4
105.7
113.0
117.5
125.8
125.1
138.2
145.5
153.8
159.7
164.3
171.2
175.3
173.4
169.9
165.1
172.7
173.9
177.6
181.0
191.9
208.0
205.7
236.2
248.8
262.6
268.1

174.4
186.3
206.2
206.6
222.4
249.8
269.2
279.3
285.6
314.3
335.7
347.7
362.6
380.1
402.5
444.5
460.2
492.5
524.9
557.3
579.1
617.7
613.3
614.9
638.1
684.5
725.3
769.6
813.3
822.9
780.8

193.0
198.3
218.0
226.9
255.3
286.8
309.1
331.4
345.7
366.8
390.7
400.4
407.9
430.0
462.9
500.5
525.0
556.8
589.9
626.9
653.4
686.2
703.9
731.2
768.9
794.7
838.8
875.0
886.1
840.2
819.6

2.1
2.2
2.3
2.6
2.7
2.7
2.7
2.6
2.7
2.5
2.5
2.5
2.6
2.5
2.5
2.4
2.4
2.2
2.0
1.9
1.8
1.7
1.7
1.7
1.7
1.8
1.6
1.8
1.8
1.8
1.9

6.8
6.7
6.6
6.4
6.3
6.4
6.4
6.3
6.0
6.2
6.1
6.0
6.1
6.0
6.0
6.3
6.2
6.3
6.3
6.3
6.2
6.2
6.0
5.8
5.7
5.8
5.7
5.7
5.8
5.7
5.5

7.5
7.1
7.0
7.0
7.2
7.3
7.3
7.4
7.3
7.2
7.1
6.9
6.8
6.8
6.9
7.1
7.1
7.1
7.1
7.1
7.0
6.9
6.8
6.9
6.9
6.7
6.6
6.5
6.3
5.8
5.8

Industry value added as a percentage of GDP (percent)
86.5
86.3
86.4
85.8
86.1
86.3
86.2
86.1
86.1
86.2
86.3
86.1
85.7
85.8
86.0
86.4
86.6
86.9
87.3
87.5
87.7
87.8
87.6
87.3
87.1
87.3
87.5
87.6
87.5
87.1
86.4

2.7
2.2
2.4
2.2
1.6
2.0
1.8
1.7
1.7
1.5
1.7
1.6
1.5
1.6
1.4
1.5
1.2
1.5
1.3
1.1
1.0
1.0
1.0
.9
1.0
1.2
1.0
.9
1.0
1.1
.9

2.3
3.3
3.9
3.6
2.9
2.7
2.5
1.6
1.5
1.5
1.4
1.5
1.3
1.2
1.1
1.1
1.0
1.1
1.1
.9
.9
1.1
1.2
1.0
1.2
1.3
1.5
1.7
1.8
2.2
1.7

4.9
4.7
4.3
4.0
3.9
4.1
4.2
4.4
4.4
4.4
4.4
4.2
3.8
3.7
3.8
3.9
4.0
4.1
4.2
4.4
4.6
4.7
4.8
4.6
4.6
4.7
4.8
4.9
4.7
4.3
3.8

21.3
20.0
19.8
18.6
18.6
18.6
17.8
17.4
17.4
17.6
17.3
16.7
16.3
16.0
15.9
15.9
15.9
15.4
15.3
15.1
14.6
14.2
13.1
12.7
12.3
12.5
12.4
12.3
12.1
11.5
11.2

13.1
12.2
12.0
11.0
10.9
11.5
10.9
10.5
10.4
10.5
10.3
9.6
9.2
9.1
9.0
9.2
9.1
9.0
9.0
8.9
8.6
8.4
7.4
7.2
6.9
6.9
6.9
6.9
6.7
6.5
6.1

8.2
7.9
7.8
7.6
7.7
7.1
6.9
6.9
7.0
7.1
7.1
7.1
7.1
7.0
6.8
6.7
6.8
6.4
6.3
6.2
6.0
5.8
5.7
5.5
5.5
5.6
5.5
5.4
5.4
5.0
5.1

1 Consists of agriculture, forestry, fishing, and hunting; mining; construction; and manufacturing.
2 Consists of utilities; wholesale trade; retail trade; transportation and warehousing; information; finance, insurance, real estate, rental, and leasing;
professional and business services; educational services, health care, and social assistance; arts, entertainment, recreation, accommodation, and food services;
and other services, except government.
Note: Data shown in Tables B–12 and B–13 are consistent with the 2010 comprehensive revision of the annual industry accounts released in May 2010, and
with the annual revision of the industry accounts released in December 2010. For details see Survey of Current Business, January 2011.
See next page for continuation of table.

204 |

Appendix B

Table B–12. Gross domestic product (GDP) by industry, value added, in current dollars and
as a percentage of GDP, 1979–2009—Continued
[Billions of dollars; except as noted]
Private industries—Continued

Year

Transportation
and
warehousing

Information

Finance,
insurance,
real estate,
rental,
and
leasing

96.9
108.3
123.5
135.3
152.5
160.0
176.4
185.6
197.4
205.4
222.4
235.6
244.3
260.5
279.6
299.4
311.5
338.6
349.4
386.1
438.5
417.8
451.1
499.7
508.6
564.1
592.6
593.3
633.3
652.5
639.3

393.5
446.8
502.8
544.7
611.6
677.5
739.4
804.0
850.3
915.7
981.0
1,049.2
1,109.8
1,192.1
1,259.3
1,321.6
1,405.7
1,490.3
1,610.6
1,696.8
1,834.0
1,997.7
2,154.8
2,222.3
2,316.1
2,409.7
2,606.5
2,777.6
2,891.3
2,974.9
3,040.3

Professional
and
business
services

Educational
services,
health care,
and
social
assistance

Arts,
entertainment,
recreation,
accommodation,
and food
services

Private
goodsOther
Government producing
services,
industries 1
except
government

Private
servicesproducing
industries 2

Value added
1979 �������������
1980 �������������
1981 �������������
1982 �������������
1983 �������������
1984 �������������
1985 �������������
1986 �������������
1987 �������������
1988 �������������
1989 �������������
1990 �������������
1991 �������������
1992 �������������
1993 �������������
1994 �������������
1995 �������������
1996 �������������
1997 �������������
1998 �������������
1999 �������������
2000 �������������
2001 �������������
2002 �������������
2003 �������������
2004 �������������
2005 �������������
2006 �������������
2007 �������������
2008 �������������
2009 �������������

97.5
102.6
110.1
106.3
118.0
131.4
137.1
147.0
152.6
161.4
166.3
172.8
182.3
192.0
206.4
223.7
231.7
241.3
261.8
275.6
287.1
301.4
302.6
302.4
319.8
347.0
369.7
395.5
405.4
418.7
389.5

152.1
173.1
197.3
213.2
242.4
280.9
316.3
352.4
384.5
424.3
470.4
516.5
524.0
566.6
600.9
639.7
687.3
756.5
842.1
927.0
1,010.2
1,116.8
1,170.7
1,198.3
1,259.4
1,346.8
1,461.8
1,571.4
1,700.5
1,768.8
1,701.3

118.2
134.1
152.9
169.2
189.7
207.1
225.4
245.2
277.7
301.5
337.4
376.7
413.4
452.9
476.4
500.2
523.9
545.4
571.4
601.2
638.5
678.0
729.2
789.8
847.3
906.4
953.4
1,015.2
1,078.3
1,148.9
1,212.9

77.9
83.0
92.9
100.0
111.5
120.8
132.0
144.0
152.3
168.8
184.0
199.6
205.9
219.0
230.9
242.3
255.3
272.8
300.3
321.1
355.4
381.6
391.2
411.1
426.9
456.7
481.6
511.3
545.2
535.4
513.1

60.6
68.5
76.0
78.3
86.8
96.3
105.3
115.3
121.1
133.0
144.8
153.9
155.9
166.3
178.3
190.7
200.7
211.2
223.8
245.6
259.3
277.6
264.2
285.0
289.7
303.0
318.5
332.0
344.6
340.9
335.4

345.4
383.3
425.2
461.8
492.9
537.9
582.9
619.7
658.4
705.1
752.4
806.2
858.9
900.3
931.4
965.3
994.6
1,025.9
1,061.3
1,099.1
1,153.9
1,215.4
1,275.4
1,353.0
1,435.3
1,507.7
1,585.9
1,667.8
1,759.9
1,855.1
1,922.5

799.0
842.8
949.9
927.7
957.1
1,076.7
1,111.2
1,118.6
1,185.0
1,278.8
1,358.9
1,396.5
1,373.2
1,422.8
1,474.3
1,586.1
1,643.1
1,733.6
1,827.2
1,891.7
1,971.3
2,087.4
2,052.3
2,053.7
2,140.3
2,339.2
2,498.8
2,654.1
2,755.0
2,748.2
2,496.3

1,417.8
1,562.0
1,751.7
1,863.7
2,084.6
2,316.3
2,523.4
2,721.8
2,892.9
3,116.5
3,370.8
3,597.7
3,760.0
4,019.2
4,261.6
4,533.8
4,776.9
5,079.0
5,443.8
5,802.7
6,228.3
6,648.7
6,958.5
7,235.6
7,566.6
8,020.9
8,553.7
9,077.0
9,546.9
9,765.8
9,700.3

13.5
13.7
13.6
14.2
13.9
13.7
13.8
13.9
13.9
13.8
13.7
13.9
14.3
14.2
14.0
13.6
13.4
13.1
12.7
12.5
12.3
12.2
12.4
12.7
12.9
12.7
12.5
12.4
12.5
12.9
13.6

31.2
30.2
30.4
28.5
27.1
27.4
26.3
25.1
25.0
25.1
24.8
24.1
22.9
22.4
22.1
22.4
22.2
22.1
21.9
21.5
21.1
21.0
20.0
19.3
19.2
19.7
19.8
19.8
19.6
19.1
17.7

55.3
56.0
56.0
57.3
59.0
58.9
59.8
61.0
61.1
61.1
61.5
62.0
62.8
63.4
63.9
64.0
64.4
64.8
65.3
66.0
66.6
66.8
67.6
68.0
67.9
67.6
67.7
67.7
67.9
68.0
68.7

Industry value added as a percentage of GDP (percent)
1979 �������������
1980 �������������
1981 �������������
1982 �������������
1983 �������������
1984 �������������
1985 �������������
1986 �������������
1987 �������������
1988 �������������
1989 �������������
1990 �������������
1991 �������������
1992 �������������
1993 �������������
1994 �������������
1995 �������������
1996 �������������
1997 �������������
1998 �������������
1999 �������������
2000 �������������
2001 �������������
2002 �������������
2003 �������������
2004 �������������
2005 �������������
2006 �������������
2007 �������������
2008 �������������
2009 �������������

3.8
3.7
3.5
3.3
3.3
3.3
3.3
3.3
3.2
3.2
3.0
3.0
3.0
3.0
3.1
3.2
3.1
3.1
3.1
3.1
3.1
3.0
2.9
2.8
2.9
2.9
2.9
3.0
2.9
2.9
2.8

3.8
3.9
4.0
4.2
4.3
4.1
4.2
4.2
4.2
4.0
4.1
4.1
4.1
4.1
4.2
4.2
4.2
4.3
4.2
4.4
4.7
4.2
4.4
4.7
4.6
4.8
4.7
4.4
4.5
4.5
4.5

15.4
16.0
16.1
16.7
17.3
17.2
17.5
18.0
18.0
18.0
17.9
18.1
18.5
18.8
18.9
18.7
19.0
19.0
19.3
19.3
19.6
20.1
20.9
20.9
20.8
20.3
20.6
20.7
20.6
20.7
21.5

5.9
6.2
6.3
6.6
6.9
7.1
7.5
7.9
8.1
8.3
8.6
8.9
8.7
8.9
9.0
9.0
9.3
9.7
10.1
10.5
10.8
11.2
11.4
11.3
11.3
11.3
11.6
11.7
12.1
12.3
12.0

4.6
4.8
4.9
5.2
5.4
5.3
5.3
5.5
5.9
5.9
6.2
6.5
6.9
7.1
7.1
7.1
7.1
7.0
6.9
6.8
6.8
6.8
7.1
7.4
7.6
7.6
7.5
7.6
7.7
8.0
8.6

3.0
3.0
3.0
3.1
3.2
3.1
3.1
3.2
3.2
3.3
3.4
3.4
3.4
3.5
3.5
3.4
3.4
3.5
3.6
3.7
3.8
3.8
3.8
3.9
3.8
3.8
3.8
3.8
3.9
3.7
3.6

2.4
2.5
2.4
2.4
2.5
2.4
2.5
2.6
2.6
2.6
2.6
2.7
2.6
2.6
2.7
2.7
2.7
2.7
2.7
2.8
2.8
2.8
2.6
2.7
2.6
2.6
2.5
2.5
2.5
2.4
2.4

Note (cont’d): Value added is the contribution of each private industry and of government to GDP. Value added is equal to an industry’s gross output minus
its intermediate inputs. Current-dollar value added is calculated as the sum of distributions by an industry to its labor and capital, which are derived from the
components of gross domestic income.
Value added industry data shown in Tables B–12 and B–13 are based on the 2002 North American Industry Classification System (NAICS).
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 205

Table B–13. Real gross domestic product by industry, value added, and percent changes,
1979–2009
Private industries
Year

Gross
domestic
product

Total
private
industries

Agriculture,
forestry,
fishing,
and
hunting

Manufacturing
Mining

Construction

Total
manufacturing

Durable
goods

Nondurable
goods

Utilities

Wholesale
trade

Retail
trade

Chain-type quantity indexes for value added (2005=100)
1979 �����������
1980 �����������
1981 �����������
1982 �����������
1983 �����������
1984 �����������
1985 �����������
1986 �����������
1987 �����������
1988 �����������
1989 �����������
1990 �����������
1991 �����������
1992 �����������
1993 �����������
1994 �����������
1995 �����������
1996 �����������
1997 �����������
1998 �����������
1999 �����������
2000 �����������
2001 �����������
2002 �����������
2003 �����������
2004 �����������
2005 �����������
2006 �����������
2007 �����������
2008 �����������
2009 �����������

46.328
46.200
47.373
46.453
48.552
52.041
54.194
56.071
57.866
60.244
62.397
63.568
63.419
65.571
67.441
70.188
71.953
74.645
77.971
81.367
85.295
88.825
89.783
91.412
93.688
97.036
100.000
102.673
104.672
104.672
101.917

44.422
44.148
45.306
44.203
46.243
49.664
51.868
53.375
55.367
57.994
60.136
61.155
61.051
63.424
65.180
68.252
69.987
73.015
76.703
80.397
84.641
88.538
89.675
91.193
93.334
96.936
100.000
103.013
105.167
104.468
101.313

38.902
38.454
48.390
51.018
36.393
47.093
55.760
54.888
56.757
50.682
56.749
60.082
60.764
67.973
58.991
70.457
59.562
66.294
71.600
69.846
73.042
81.616
78.875
82.096
90.690
96.562
100.000
100.784
93.306
101.803
107.165

104.743
115.624
114.903
109.777
104.272
114.566
121.159
116.832
122.387
136.936
132.300
130.811
133.137
129.046
131.186
142.454
143.501
133.707
138.123
148.876
137.872
121.050
136.811
138.440
120.419
119.398
100.000
108.114
111.347
107.584
137.088

1979 �����������
1980 �����������
1981 �����������
1982 �����������
1983 �����������
1984 �����������
1985 �����������
1986 �����������
1987 �����������
1988 �����������
1989 �����������
1990 �����������
1991 �����������
1992 �����������
1993 �����������
1994 �����������
1995 �����������
1996 �����������
1997 �����������
1998 �����������
1999 �����������
2000 �����������
2001 �����������
2002 �����������
2003 �����������
2004 �����������
2005 �����������
2006 �����������
2007 �����������
2008 �����������
2009 �����������

3.1
–.3
2.5
–1.9
4.5
7.2
4.1
3.5
3.2
4.1
3.6
1.9
–.2
3.4
2.9
4.1
2.5
3.7
4.5
4.4
4.8
4.1
1.1
1.8
2.5
3.6
3.1
2.7
1.9
.0
–2.6

3.8
–.6
2.6
–2.4
4.6
7.4
4.4
2.9
3.7
4.7
3.7
1.7
–.2
3.9
2.8
4.7
2.5
4.3
5.1
4.8
5.3
4.6
1.3
1.7
2.3
3.9
3.2
3.0
2.1
–.7
–3.0

8.3
–1.2
25.8
5.4
–28.7
29.4
18.4
–1.6
3.4
–10.7
12.0
5.9
1.1
11.9
–13.2
19.4
–15.5
11.3
8.0
–2.4
4.6
11.7
–3.4
4.1
10.5
6.5
3.6
.8
–7.4
9.1
5.3

–10.8
10.4
–.6
–4.5
–5.0
9.9
5.8
–3.6
4.8
11.9
–3.4
–1.1
1.8
–3.1
1.7
8.6
.7
–6.8
3.3
7.8
–7.4
–12.2
13.0
1.2
–13.0
–.8
–16.2
8.1
3.0
–3.4
27.4

79.704
75.211
68.588
60.598
62.839
70.715
75.914
77.566
79.216
83.047
85.400
84.852
78.684
80.472
82.720
87.368
88.299
93.062
95.251
98.361
103.712
107.083
104.669
101.024
101.265
101.341
100.000
97.084
91.930
86.669
73.150

45.755
43.375
45.443
42.139
45.469
49.812
51.384
51.353
55.139
58.999
59.678
58.890
57.985
59.918
62.321
66.434
69.169
71.380
75.667
79.448
83.717
89.061
84.955
87.073
89.592
96.800
100.000
104.372
107.804
102.589
93.729

35.703
33.804
34.733
31.312
33.348
38.718
39.879
40.178
43.002
47.272
48.018
47.127
45.631
46.583
48.542
52.274
56.311
59.761
64.745
71.155
76.614
85.168
79.979
82.953
85.395
93.168
100.000
106.821
110.781
111.935
97.689

64.781
61.531
66.409
64.239
70.630
70.877
73.291
72.348
78.055
80.230
80.652
80.201
80.759
84.786
87.971
92.504
91.928
91.280
93.825
92.244
94.228
94.085
91.695
92.545
95.160
101.568
100.000
101.349
104.154
91.910
88.811

63.354
59.106
59.011
57.783
60.847
66.315
70.594
74.085
82.798
82.088
90.510
95.653
96.912
97.768
96.511
99.477
102.702
101.797
97.186
95.083
104.776
108.396
93.929
97.457
100.942
104.921
100.000
100.686
104.154
110.368
100.447

29.180
28.966
30.729
30.875
32.228
34.849
36.661
40.328
39.197
41.311
43.312
42.697
44.443
48.496
49.963
53.141
52.908
57.790
64.076
74.166
78.084
83.555
87.739
88.572
93.923
98.968
100.000
103.057
108.789
108.671
111.743

36.155
34.138
35.128
35.081
38.330
41.993
44.267
47.562
45.892
50.498
52.734
53.582
53.419
56.212
58.957
63.237
66.413
72.553
78.828
83.815
86.228
89.582
92.379
95.428
97.588
97.623
100.000
101.833
103.176
96.007
94.153

6.4
–5.0
7.9
–3.3
9.9
.3
3.4
–1.3
7.9
2.8
.5
–.6
.7
5.0
3.8
5.2
–.6
–.7
2.8
–1.7
2.2
–.2
–2.5
.9
2.8
6.7
–1.5
1.3
2.8
–11.8
–3.4

–8.1
–6.7
–.2
–2.1
5.3
9.0
6.5
4.9
11.8
–.9
10.3
5.7
1.3
.9
–1.3
3.1
3.2
–.9
–4.5
–2.2
10.2
3.5
–13.3
3.8
3.6
3.9
–4.7
.7
3.4
6.0
–9.0

7.6
–.7
6.1
.5
4.4
8.1
5.2
10.0
–2.8
5.4
4.8
–1.4
4.1
9.1
3.0
6.4
–.4
9.2
10.9
15.7
5.3
7.0
5.0
.9
6.0
5.4
1.0
3.1
5.6
–.1
2.8

0.2
–5.6
2.9
–.1
9.3
9.6
5.4
7.4
–3.5
10.0
4.4
1.6
–.3
5.2
4.9
7.3
5.0
9.2
8.6
6.3
2.9
3.9
3.1
3.3
2.3
.0
2.4
1.8
1.3
–6.9
–1.9

Percent change from year earlier
3.4
–5.6
–8.8
–11.6
3.7
12.5
7.4
2.2
2.1
4.8
2.8
–.6
–7.3
2.3
2.8
5.6
1.1
5.4
2.4
3.3
5.4
3.3
–2.3
–3.5
.2
.1
–1.3
–2.9
–5.3
–5.7
–15.6

3.5
–5.2
4.8
–7.3
7.9
9.6
3.2
–.1
7.4
7.0
1.2
–1.3
–1.5
3.3
4.0
6.6
4.1
3.2
6.0
5.0
5.4
6.4
–4.6
2.5
2.9
8.0
3.3
4.4
3.3
–4.8
–8.6

1.8
–5.3
2.7
–9.8
6.5
16.1
3.0
.7
7.0
9.9
1.6
–1.9
–3.2
2.1
4.2
7.7
7.7
6.1
8.3
9.9
7.7
11.2
–6.1
3.7
2.9
9.1
7.3
6.8
3.7
1.0
–12.7

1 Consists of agriculture, forestry, fishing, and hunting; mining; construction; and manufacturing.
2 Consists of utilities; wholesale trade; retail trade; transportation and warehousing; information; finance, insurance, real estate, rental, and leasing;

professional and business services; educational services, health care, and social assistance; arts, entertainment, recreation, accommodation, and food services;
and other services, except government.
See next page for continuation of table.

206 |

Appendix B

Table B–13. Real gross domestic product by industry, value added, and percent changes,
1979–2009—Continued
Private industries—Continued

Year

Transportation
and
warehousing

Information

Finance,
insurance,
real estate,
rental,
and
leasing

Educational
services,
health care,
and
social
assistance

Professional
and
business
services

Arts,
entertainment,
recreation,
accommodation,
and food
services

Private
goodsOther
Government producing
services,
industries 1
except
government

Private
servicesproducing
industries 2

Chain-type quantity indexes for value added (2005=100)
1979 �������������
1980 �������������
1981 �������������
1982 �������������
1983 �������������
1984 �������������
1985 �������������
1986 �������������
1987 �������������
1988 �������������
1989 �������������
1990 �������������
1991 �������������
1992 �������������
1993 �������������
1994 �������������
1995 �������������
1996 �������������
1997 �������������
1998 �������������
1999 �������������
2000 �������������
2001 �������������
2002 �������������
2003 �������������
2004 �������������
2005 �������������
2006 �������������
2007 �������������
2008 �������������
2009 �������������

42.732
41.760
40.733
38.778
43.771
45.875
46.555
46.631
48.921
50.362
52.324
55.071
57.584
61.240
63.953
69.084
71.137
75.034
78.897
77.955
80.694
86.090
82.988
81.854
85.983
93.805
100.000
104.458
105.368
106.244
92.405

27.664
29.988
31.637
31.546
33.759
33.440
34.374
34.534
36.877
38.084
40.758
42.101
42.504
44.846
47.224
49.639
51.366
54.612
55.678
61.310
69.628
66.972
71.966
79.941
81.989
92.731
100.000
100.965
109.556
114.033
111.185

45.825
48.114
48.773
49.227
50.412
52.274
53.665
54.463
56.369
58.409
59.885
61.289
62.227
64.170
66.045
67.622
69.380
71.010
74.167
76.408
81.416
86.781
92.055
91.863
93.228
94.593
100.000
104.212
106.029
106.034
107.234

33.769
34.655
35.514
35.392
37.884
41.968
45.319
48.867
51.486
54.083
57.577
60.081
57.987
59.726
61.221
63.354
65.589
70.109
74.976
79.247
82.750
86.863
88.985
89.646
92.136
95.298
100.000
103.363
105.978
109.243
103.760

1979 �������������
1980 �������������
1981 �������������
1982 �������������
1983 �������������
1984 �������������
1985 �������������
1986 �������������
1987 �������������
1988 �������������
1989 �������������
1990 �������������
1991 �������������
1992 �������������
1993 �������������
1994 �������������
1995 �������������
1996 �������������
1997 �������������
1998 �������������
1999 �������������
2000 �������������
2001 �������������
2002 �������������
2003 �������������
2004 �������������
2005 �������������
2006 �������������
2007 �������������
2008 �������������
2009 �������������

5.7
–2.3
–2.5
–4.8
12.9
4.8
1.5
.2
4.9
2.9
3.9
5.2
4.6
6.3
4.4
8.0
3.0
5.5
5.1
–1.2
3.5
6.7
–3.6
–1.4
5.0
9.1
6.6
4.5
.9
.8
–13.0

8.4
8.4
5.5
–.3
7.0
–.9
2.8
.5
6.8
3.3
7.0
3.3
1.0
5.5
5.3
5.1
3.5
6.3
2.0
10.1
13.6
–3.8
7.5
11.1
2.6
13.1
7.8
1.0
8.5
4.1
–2.5

5.8
5.0
1.4
.9
2.4
3.7
2.7
1.5
3.5
3.6
2.5
2.3
1.5
3.1
2.9
2.4
2.6
2.3
4.4
3.0
6.6
6.6
6.1
–.2
1.5
1.5
5.7
4.2
1.7
.0
1.1

6.8
2.6
2.5
–.3
7.0
10.8
8.0
7.8
5.4
5.0
6.5
4.3
–3.5
3.0
2.5
3.5
3.5
6.9
6.9
5.7
4.4
5.0
2.4
.7
2.8
3.4
4.9
3.4
2.5
3.1
–5.0

53.945
55.860
56.944
56.779
58.963
60.646
62.143
63.312
67.335
67.932
70.548
73.134
74.836
77.106
77.380
77.702
78.938
79.845
81.193
82.287
84.471
86.443
88.631
92.344
95.383
98.309
100.000
103.332
105.150
109.327
110.544

46.689
45.007
46.590
47.792
51.486
53.681
56.334
60.001
59.596
62.997
65.264
67.251
65.377
67.676
69.768
71.854
74.270
77.410
80.923
83.221
88.358
91.942
90.534
92.187
94.290
98.107
100.000
103.007
104.566
99.731
91.067

73.815
74.448
72.192
69.475
72.679
76.528
79.030
80.813
82.204
86.216
90.151
92.110
89.427
91.483
94.651
99.123
100.970
101.882
100.641
106.252
107.176
108.829
97.457
100.527
98.899
99.641
100.000
100.109
100.313
95.527
89.033

73.550
74.782
75.075
75.210
75.888
76.705
78.727
80.557
82.121
84.242
86.297
88.409
88.888
89.409
89.409
89.676
89.615
90.016
90.996
92.177
93.287
95.033
95.831
97.690
98.672
99.394
100.000
100.463
101.236
103.390
104.208

52.713
50.798
52.554
49.081
50.425
56.085
58.924
58.880
62.412
65.943
67.156
66.675
65.228
67.410
69.070
74.113
75.677
78.365
82.512
86.102
90.214
94.722
91.775
92.720
94.225
99.314
100.000
102.662
103.260
98.943
92.611

41.446
41.897
42.807
42.725
45.085
47.643
49.622
51.707
53.162
55.487
57.960
59.504
59.859
62.301
64.093
66.546
68.336
71.476
75.030
78.758
83.043
86.764
89.072
90.752
93.069
96.253
100.000
103.115
105.728
106.108
103.891

0.8
.9
–3.0
–3.8
4.6
5.3
3.3
2.3
1.7
4.9
4.6
2.2
–2.9
2.3
3.5
4.7
1.9
.9
–1.2
5.6
.9
1.5
–10.4
3.2
–1.6
.8
.4
.1
.2
–4.8
–6.8

1.3
1.7
.4
.2
.9
1.1
2.6
2.3
1.9
2.6
2.4
2.4
.5
.6
.0
.3
–.1
.4
1.1
1.3
1.2
1.9
.8
1.9
1.0
.7
.6
.5
.8
2.1
.8

2.8
–3.6
3.5
–6.6
2.7
11.2
5.1
–.1
6.0
5.7
1.8
–.7
–2.2
3.3
2.5
7.3
2.1
3.6
5.3
4.4
4.8
5.0
–3.1
1.0
1.6
5.4
.7
2.7
.6
–4.2
–6.4

4.4
1.1
2.2
–.2
5.5
5.7
4.2
4.2
2.8
4.4
4.5
2.7
.6
4.1
2.9
3.8
2.7
4.6
5.0
5.0
5.4
4.5
2.7
1.9
2.6
3.4
3.9
3.1
2.5
.4
–2.1

Percent change from year earlier
4.2
3.5
1.9
–.3
3.8
2.9
2.5
1.9
6.4
.9
3.9
3.7
2.3
3.0
.4
.4
1.6
1.1
1.7
1.3
2.7
2.3
2.5
4.2
3.3
3.1
1.7
3.3
1.8
4.0
1.1

2.8
–3.6
3.5
2.6
7.7
4.3
4.9
6.5
–.7
5.7
3.6
3.0
–2.8
3.5
3.1
3.0
3.4
4.2
4.5
2.8
6.2
4.1
–1.5
1.8
2.3
4.0
1.9
3.0
1.5
–4.6
–8.7

Note: Data are based on the 2002 North American Industry Classification System (NAICS).
See Note, Table B–12.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 207

Table B–14. Gross value added of nonfinancial corporate business, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Net value added

Year or
quarter

Gross
value
Conadded sumpof nonfinancial tion
of
corpofixed
rate
capital
business 1

1962 �������������
309.8
1963 �������������
329.9
1964 �������������
356.1
1965 �������������
391.2
1966 �������������
429.0
1967 �������������
451.2
1968 �������������
497.8
1969 �������������
540.5
1970 �������������
558.3
1971 �������������
603.0
1972 �������������
669.4
1973 �������������
750.8
1974 �������������
809.8
1975 �������������
876.7
1976 �������������
989.7
1977 ������������� 1,119.4
1978 ������������� 1,272.7
1979 ������������� 1,414.4
1980 ������������� 1,534.5
1981 ������������� 1,742.2
1982 ������������� 1,802.6
1983 ������������� 1,929.1
1984 ������������� 2,161.4
1985 ������������� 2,293.9
1986 ������������� 2,383.2
1987 ������������� 2,551.0
1988 ������������� 2,765.4
1989 ������������� 2,899.2
1990 ������������� 3,035.2
1991 ������������� 3,104.1
1992 ������������� 3,241.1
1993 ������������� 3,398.4
1994 ������������� 3,677.6
1995 ������������� 3,888.0
1996 ������������� 4,119.4
1997 ������������� 4,412.5
1998 ������������� 4,668.3
1999 ������������� 4,955.5
2000 ������������� 5,279.4
2001 ������������� 5,252.5
2002 ������������� 5,307.7
2003 ������������� 5,503.7
2004 ������������� 5,877.5
2005 ������������� 6,302.8
2006 ������������� 6,740.3
2007 ������������� 6,946.0
2008 ������������� 6,990.5
2009 ������������� 6,625.2
2010 p ����������� �������������
2007: I ��������� 6,896.9
      II �������� 6,965.5
      III ������� 6,908.6
      IV ������� 7,013.2
2008: I ��������� 6,971.4
      II �������� 6,971.5
      III ������� 7,087.3
      IV ������� 6,932.0
2009: I ��������� 6,694.3
      II �������� 6,580.4
      III ������� 6,558.4
      IV ������� 6,667.8
2010: I ��������� 6,804.4
      II �������� 6,923.0
      III ������� 6,978.3
      IV p ���� �������������

Addenda

Net operating surplus

Total

24.5
285.2
25.6
304.3
27.0
329.0
29.1
362.1
31.9
397.1
35.2
416.0
38.7
459.1
42.9
497.5
47.5
510.8
52.0
551.1
56.5
613.0
63.1
687.6
74.2
735.7
88.6
788.0
97.8
892.0
110.1 1,009.2
125.1 1,147.5
144.3 1,270.2
166.7 1,367.8
192.4 1,549.8
212.8 1,589.8
219.3 1,709.8
228.8 1,932.6
244.0 2,049.9
258.0 2,125.2
270.0 2,280.9
287.3 2,478.1
303.9 2,595.3
321.0 2,714.2
336.1 2,768.0
344.1 2,897.0
359.0 3,039.3
380.1 3,297.5
408.3 3,479.7
435.1 3,684.4
466.9 3,945.6
499.9 4,168.5
539.3 4,416.3
590.1 4,689.4
632.0 4,620.5
654.5 4,653.1
669.0 4,834.7
695.6 5,181.9
743.0 5,559.8
800.9 5,939.4
840.1 6,106.0
878.8 6,111.7
879.0 5,746.3
876.1 �������������
829.3 6,067.6
836.4 6,129.0
842.9 6,065.7
851.6 6,161.6
859.5 6,111.8
872.5 6,099.0
887.2 6,200.1
896.1 6,035.9
894.0 5,800.3
880.1 5,700.3
871.0 5,687.4
870.7 5,797.1
868.2 5,936.2
872.9 6,050.0
877.5 6,100.7
885.9 �������������

Taxes
Comon
pensa- production tion and
of
imports
employ- less
ees
subsidies

199.3
210.1
225.7
245.4
272.9
291.1
321.9
357.1
376.5
399.4
443.9
502.2
552.2
575.5
651.4
735.3
845.1
958.4
1,047.2
1,157.6
1,200.4
1,263.1
1,400.0
1,496.1
1,575.4
1,678.4
1,804.7
1,905.7
2,005.5
2,044.8
2,152.9
2,244.0
2,382.1
2,511.5
2,631.3
2,814.6
3,049.7
3,256.5
3,541.8
3,559.4
3,544.2
3,651.3
3,786.7
3,976.3
4,182.3
4,361.0
4,435.3
4,193.6
4,289.8
4,309.2
4,340.0
4,361.9
4,432.8
4,459.5
4,456.8
4,444.5
4,380.5
4,217.2
4,189.6
4,175.0
4,192.4
4,205.1
4,271.7
4,319.4
4,363.0

29.9
31.7
33.9
36.0
37.0
39.3
45.5
50.2
54.2
59.5
63.7
70.1
74.4
80.2
86.7
94.6
102.7
108.8
121.5
146.7
152.9
168.0
185.0
196.6
204.6
216.8
233.8
248.2
263.5
285.7
302.5
318.0
347.8
354.2
365.6
381.0
393.1
414.6
439.4
434.5
461.9
484.2
517.7
558.4
593.3
607.7
615.3
590.2
611.9
599.6
605.6
610.1
615.3
613.8
619.5
619.5
608.2
588.5
589.4
584.5
598.3
604.8
609.0
613.4
620.5

Total

Net
interest Business
and
current
miscel- transfer
laneous paypayments ments

56.1
4.3
62.5
4.7
69.5
5.2
80.7
5.8
87.2
7.0
85.6
8.4
91.7
9.7
90.3
12.7
80.1
16.6
92.1
17.6
105.4
18.6
115.4
21.8
109.1
27.5
132.4
28.4
153.9
26.0
179.3
28.5
199.7
33.4
203.0
41.8
199.1
54.2
245.5
67.2
236.5
77.4
278.7
77.0
347.5
86.0
357.2
91.5
345.2
98.5
385.6
95.9
439.6
107.9
441.5
133.9
445.2
143.1
437.5
139.6
441.6
114.2
477.3
99.8
567.5
98.8
614.0
112.7
687.5
112.1
750.0
124.7
725.7
146.8
745.1
164.5
708.2
192.8
626.7
197.7
647.1
163.7
699.2
147.9
877.5
134.4
1,025.1
148.2
1,163.7
164.0
1,137.4
232.3
1,061.1
271.3
962.5
220.1
������������ �������������
1,158.8
204.5
1,183.4
219.8
1,093.7
242.6
1,113.5
262.4
1,038.5
269.9
1,022.7
273.0
1,136.0
270.3
1,047.1
272.1
994.5
250.5
921.3
219.0
927.9
205.5
1,006.4
205.3
1,126.3
208.3
1,169.3
202.3
1,167.9
199.2
������������ �������������

Corporate profits with inventory valuation and capital
consumption adjustments

Total

Taxes
on
corporate
income

Profits
after
tax 2

Profits
before
tax

Inven- Capital
tory
convalua- sumption
tion
adjustadjustment
ment

1.7
50.1
20.6
29.5
44.6
0.0
1.7
56.1
22.8
33.4
49.7
.1
2.0
62.4
23.9
38.5
55.9
–.5
2.2
72.7
27.1
45.5
66.1
–1.2
2.7
77.5
29.5
48.0
71.4
–2.1
2.8
74.4
27.8
46.5
67.6
–1.6
3.1
78.9
33.5
45.4
74.0
–3.7
3.2
74.4
33.3
41.0
71.2
–5.9
3.3
60.2
27.3
32.9
58.5
–6.6
3.7
70.8
30.0
40.8
67.4
–4.6
4.0
82.8
33.8
49.0
79.5
–6.6
4.7
88.9
40.4
48.5
99.5
–19.6
4.1
77.5
42.8
34.6
110.2
–38.2
5.0
98.9
41.9
57.0
110.7
–10.5
7.0
121.0
53.5
67.5
138.2
–14.1
9.0
141.9
60.6
81.3
159.5
–15.7
9.5
156.8
67.6
89.2
183.7
–23.7
9.5
151.8
70.6
81.2
197.2
–40.1
10.2
134.7
68.2
66.5
184.1
–42.1
11.4
166.8
66.0 100.8
185.0
–24.6
8.8
150.2
48.8 101.5
140.0
–7.5
10.5
191.2
61.7 129.5
163.4
–7.4
11.7
249.8
75.9 173.9
197.6
–4.0
16.1
249.6
71.1 178.6
173.5
.0
27.3
219.5
76.2 143.2
149.7
7.1
29.9
259.9
94.2 165.7
213.5
–16.2
27.4
304.3
104.0 200.3
264.1
–22.2
24.0
283.5
101.2 182.3
243.1
–16.3
25.4
276.7
98.5 178.3
243.3
–12.9
26.6
271.3
88.6 182.7
226.8
4.9
31.3
296.1
94.4 201.7
258.6
–2.8
30.1
347.5
108.0 239.5
308.7
–4.0
35.3
433.5
132.4 301.1
391.9
–12.4
30.7
470.6
140.3 330.3
431.2
–18.3
38.0
537.4
152.9 384.5
471.3
3.1
39.2
586.2
161.4 424.8
506.8
14.1
35.2
543.7
158.7 385.1
460.5
15.7
47.1
533.5
171.4 362.1
468.6
–4.0
47.9
467.5
170.2 297.3
432.5
–16.8
58.9
370.1
111.2 258.8
315.1
8.0
56.3
427.2
97.1 330.1
342.3
–2.6
65.2
486.1
132.9 353.2
425.9
–11.3
65.5
677.5
187.0 490.6
662.1
–34.3
79.3
797.6
271.9 525.8
957.1
–30.7
75.8
923.9
307.6 616.2 1,117.9
–38.0
69.1
835.9
293.8 542.2 1,042.0
–47.2
66.2
723.5
226.4 497.1
782.0
–44.1
79.1
663.3
170.3 492.9
706.4
11.9
78.8 ������������� ������������� ������������ ������������� �������������
71.9
882.4
311.2 571.2 1,086.5
–50.3
69.8
893.9
302.4 591.5 1,091.1
–34.8
67.8
783.3
278.9 504.5
974.9
–29.1
66.9
784.2
282.6 501.5 1,015.4
–74.8
65.0
703.6
250.6 453.0
851.2 –128.7
63.5
686.2
252.0 434.2
838.6 –140.0
63.1
802.7
247.1 555.6
882.0
–66.7
73.4
701.6
156.0 545.6
556.1
159.1
78.6
665.4
160.8 504.6
639.3
93.0
84.9
617.4
155.1 462.3
642.6
30.6
75.2
647.1
163.7 483.5
704.8
–8.7
77.8
723.2
201.8 521.4
839.1
–67.2
77.5
840.4
265.2 575.3 1,021.8
–36.4
78.3
888.6
287.4 601.1 1,037.5
–3.5
79.8
888.9
293.6 595.3 1,069.7
–36.4
79.4 ������������� ������������� ������������ ������������� �������������

5.4
6.4
7.0
7.8
8.1
8.3
8.6
9.1
8.3
8.0
9.9
9.0
5.5
–1.2
–3.2
–1.9
–3.2
–5.3
–7.2
6.5
17.8
35.2
56.2
76.2
62.7
62.6
62.3
56.7
46.3
39.6
40.3
42.9
54.0
57.6
63.0
65.3
67.5
68.9
51.8
47.0
87.5
71.5
49.7
–128.8
–156.0
–158.8
–14.4
–55.1
–110.3
–153.9
–162.4
–162.5
–156.4
–18.9
–12.4
–12.6
–13.6
–66.9
–55.9
–48.9
–48.7
–144.9
–145.4
–144.4
–6.4

1 Estimates for nonfinancial corporate business for 2000 and earlier periods are based on the Standard Industrial Classification (SIC); later estimates are
based on the North American Industry Classification System (NAICS).
2 With inventory valuation and capital consumption adjustments.
Source: Department of Commerce (Bureau of Economic Analysis).

208 |

Appendix B

Table B–15. Gross value added and price, costs, and profits of nonfinancial corporate
business, 1962–2010
[Quarterly data at seasonally adjusted annual rates]
Price per unit of real gross value added of nonfinancial corporate business (dollars) 1, 2

Gross value added of
nonfinancial corporate
business (billions
of dollars) 1
Year or quarter
Current
dollars
1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������

309.8
329.9
356.1
391.2
429.0
451.2
497.8
540.5
558.3
603.0
669.4
750.8
809.8
876.7
989.7
1,119.4
1,272.7
1,414.4
1,534.5
1,742.2
1,802.6
1,929.1
2,161.4
2,293.9
2,383.2
2,551.0
2,765.4
2,899.2
3,035.2
3,104.1
3,241.1
3,398.4
3,677.6
3,888.0
4,119.4
4,412.5
4,668.3
4,955.5
5,279.4
5,252.5
5,307.7
5,503.7
5,877.5
6,302.8
6,740.3
6,946.0
6,990.5
6,625.2
6,896.9
6,965.5
6,908.6
7,013.2
6,971.4
6,971.5
7,087.3
6,932.0
6,694.3
6,580.4
6,558.4
6,667.8
6,804.4
6,923.0
6,978.3

Chained
(2005)
dollars
1,206.3
1,278.7
1,369.0
1,482.8
1,589.1
1,632.0
1,737.9
1,808.1
1,793.6
1,867.6
2,010.3
2,134.2
2,100.4
2,069.5
2,238.7
2,404.6
2,561.9
2,642.1
2,615.1
2,719.6
2,654.7
2,783.0
3,029.7
3,160.0
3,237.7
3,404.8
3,601.5
3,661.2
3,715.6
3,697.9
3,807.5
3,907.7
4,158.1
4,351.9
4,591.7
4,891.1
5,170.8
5,456.0
5,749.6
5,641.5
5,679.3
5,819.6
6,085.2
6,302.8
6,542.2
6,616.1
6,520.3
6,141.7
6,622.4
6,633.0
6,543.2
6,665.8
6,607.8
6,547.4
6,525.7
6,400.6
6,151.5
6,073.3
6,075.5
6,266.5
6,431.3
6,501.5
6,478.7

Total

0.257
.258
.260
.264
.270
.276
.286
.299
.311
.323
.333
.352
.386
.424
.442
.466
.497
.535
.587
.641
.679
.693
.713
.726
.736
.749
.768
.792
.817
.839
.851
.870
.884
.893
.897
.902
.903
.908
.918
.931
.935
.946
.966
1.000
1.030
1.050
1.072
1.079
1.041
1.050
1.056
1.052
1.055
1.065
1.086
1.083
1.088
1.084
1.079
1.064
1.058
1.065
1.077

Compensation
of
employees
(unit
labor
cost)
0.165
.164
.165
.165
.172
.178
.185
.197
.210
.214
.221
.235
.263
.278
.291
.306
.330
.363
.400
.426
.452
.454
.462
.473
.487
.493
.501
.521
.540
.553
.565
.574
.573
.577
.573
.575
.590
.597
.616
.631
.624
.627
.622
.631
.639
.659
.680
.683
.651
.654
.667
.665
.675
.681
.681
.684
.686
.690
.687
.669
.654
.657
.667

Corporate profits with inventory
valuation and capital consumption
adjustments 4

Unit nonlabor cost

Total

0.050
.050
.050
.050
.049
.053
.056
.061
.067
.071
.071
.075
.085
.098
.098
.101
.106
.116
.135
.154
.170
.171
.169
.173
.182
.179
.183
.194
.203
.213
.208
.207
.207
.208
.207
.206
.208
.214
.222
.234
.235
.234
.232
.243
.249
.264
.282
.288
.257
.261
.270
.269
.274
.279
.282
.289
.294
.292
.286
.280
.273
.271
.273

ConinterTaxes on Net
sumption production
est and
of
misceland
fixed
laneous
imports 3 payments
capital
0.020
.020
.020
.020
.020
.022
.022
.024
.026
.028
.028
.030
.035
.043
.044
.046
.049
.055
.064
.071
.080
.079
.076
.077
.080
.079
.080
.083
.086
.091
.090
.092
.091
.094
.095
.095
.097
.099
.103
.112
.115
.115
.114
.118
.122
.127
.135
.143
.125
.126
.129
.128
.130
.133
.136
.140
.145
.145
.143
.139
.135
.134
.135

0.026
.026
.026
.026
.025
.026
.028
.030
.032
.034
.034
.035
.037
.041
.042
.043
.044
.045
.050
.058
.061
.064
.065
.067
.072
.072
.073
.074
.078
.084
.088
.089
.092
.088
.088
.086
.083
.085
.085
.087
.091
.094
.096
.101
.102
.102
.105
.109
.101
.102
.104
.102
.103
.104
.105
.106
.108
.111
.109
.108
.106
.106
.107

0.004
.004
.004
.004
.004
.005
.006
.007
.009
.009
.009
.010
.013
.014
.012
.012
.013
.016
.021
.025
.029
.028
.028
.029
.030
.028
.030
.037
.039
.038
.030
.026
.024
.026
.024
.025
.028
.030
.034
.035
.029
.025
.022
.024
.025
.035
.042
.036
.031
.033
.037
.039
.041
.042
.041
.043
.041
.036
.034
.033
.032
.031
.031

Total

0.042
.044
.046
.049
.049
.046
.045
.041
.034
.038
.041
.042
.037
.048
.054
.059
.061
.057
.052
.061
.057
.069
.082
.079
.068
.076
.084
.077
.074
.073
.078
.089
.104
.108
.117
.120
.105
.098
.081
.066
.075
.084
.111
.127
.141
.126
.111
.108
.133
.135
.120
.118
.106
.105
.123
.110
.108
.102
.107
.115
.131
.137
.137

Taxes on
corporate
income
0.017
.018
.017
.018
.019
.017
.019
.018
.015
.016
.017
.019
.020
.020
.024
.025
.026
.027
.026
.024
.018
.022
.025
.022
.024
.028
.029
.028
.026
.024
.025
.028
.032
.032
.033
.033
.031
.031
.030
.020
.017
.023
.031
.043
.047
.044
.035
.028
.047
.046
.043
.042
.038
.038
.038
.024
.026
.026
.027
.032
.041
.044
.045

Profits
after
tax 5
0.024
.026
.028
.031
.030
.029
.026
.023
.018
.022
.024
.023
.016
.028
.030
.034
.035
.031
.025
.037
.038
.047
.057
.057
.044
.049
.056
.050
.048
.049
.053
.061
.072
.076
.084
.087
.074
.066
.052
.046
.058
.061
.081
.083
.094
.082
.076
.080
.086
.089
.077
.075
.069
.066
.085
.085
.082
.076
.080
.083
.089
.092
.092

1 Estimates for nonfinancial corporate business for 2000 and earlier periods are based on the Standard Industrial Classification (SIC); later estimates are
based on the North American Industry Classification System (NAICS).
2 The implicit price deflator for gross value added of nonfinancial corporate business divided by 100.
3 Less subsidies plus business current transfer payments.
4 Unit profits from current production.
5 With inventory valuation and capital consumption adjustments.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 209

Table B–16. Personal consumption expenditures, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Goods
Durable
Personal
consumption
expenditures

Year or
quarter

1962 ��������������
1963 ��������������
1964 ��������������
1965 ��������������
1966 ��������������
1967 ��������������
1968 ��������������
1969 ��������������
1970 ��������������
1971 ��������������
1972 ��������������
1973 ��������������
1974 ��������������
1975 ��������������
1976 ��������������
1977 ��������������
1978 ��������������
1979 ��������������
1980 ��������������
1981 ��������������
1982 ��������������
1983 ��������������
1984 ��������������
1985 ��������������
1986 ��������������
1987 ��������������
1988 ��������������
1989 ��������������
1990 ��������������
1991 ��������������
1992 ��������������
1993 ��������������
1994 ��������������
1995 ��������������
1996 ��������������
1997 ��������������
1998 ��������������
1999 ��������������
2000 ��������������
2001 ��������������
2002 ��������������
2003 ��������������
2004 ��������������
2005 ��������������
2006 ��������������
2007 ��������������
2008 ��������������
2009 ��������������
2010 p ������������
2007: I ����������
      II ���������
      III ��������
      IV ��������
2008: I ����������
      II ���������
      III ��������
      IV ��������
2009: I ����������
      II ���������
      III ��������
      IV ��������
2010: I ����������
      II ���������
      III ��������
      IV p �����

363.3
382.7
411.5
443.8
480.9
507.8
558.0
605.1
648.3
701.6
770.2
852.0
932.9
1,033.8
1,151.3
1,277.8
1,427.6
1,591.2
1,755.8
1,939.5
2,075.5
2,288.6
2,501.1
2,717.6
2,896.7
3,097.0
3,350.1
3,594.5
3,835.5
3,980.1
4,236.9
4,483.6
4,750.8
4,987.3
5,273.6
5,570.6
5,918.5
6,342.8
6,830.4
7,148.8
7,439.2
7,804.0
8,285.1
8,819.0
9,322.7
9,806.3
10,104.5
10,001.3
10,351.9
9,632.8
9,753.2
9,850.8
9,988.4
10,065.7
10,183.0
10,202.0
9,967.2
9,913.0
9,920.1
10,040.7
10,131.5
10,230.8
10,285.4
10,366.3
10,525.2

Total
Total 1

189.0
198.2
212.3
229.7
249.6
259.0
284.6
304.7
318.8
342.1
373.8
416.6
451.5
491.3
546.3
600.4
663.6
737.9
799.8
869.4
899.3
973.8
1,063.7
1,137.6
1,195.6
1,256.3
1,337.3
1,423.8
1,491.3
1,497.4
1,563.3
1,642.3
1,746.6
1,815.5
1,917.7
2,006.8
2,110.0
2,290.0
2,459.1
2,534.0
2,610.0
2,727.4
2,892.3
3,073.9
3,221.7
3,357.7
3,379.5
3,230.7
3,427.6
3,293.8
3,343.4
3,369.8
3,423.8
3,415.4
3,458.7
3,450.0
3,194.0
3,158.4
3,175.4
3,276.1
3,312.9
3,380.0
3,377.5
3,419.6
3,533.3

49.5
54.2
59.6
66.4
71.7
74.0
84.8
90.5
90.0
102.4
116.4
130.5
130.2
142.2
168.6
192.0
213.3
226.3
226.4
243.9
253.0
295.0
342.2
380.4
421.4
442.0
475.1
494.3
497.1
477.2
508.1
551.5
607.2
635.7
676.3
715.5
780.0
857.4
915.8
946.3
992.1
1,014.8
1,061.6
1,105.5
1,133.0
1,159.4
1,083.5
1,026.5
1,089.6
1,149.8
1,158.7
1,163.2
1,166.0
1,131.1
1,117.1
1,080.2
1,005.6
1,012.2
1,004.7
1,045.2
1,043.9
1,060.7
1,074.1
1,087.8
1,135.7

Services
Household consumption
expenditures

Nondurable

Motor
vehicles
and
parts

21.4
24.2
25.8
29.6
29.9
29.6
35.4
37.4
34.5
43.2
49.4
54.4
48.2
52.6
68.2
79.8
89.2
90.2
84.4
93.0
100.0
122.9
147.2
170.1
187.5
188.2
202.2
207.8
205.1
185.7
204.8
224.7
249.8
255.7
273.5
293.1
320.2
350.7
363.2
383.3
401.3
401.5
404.7
409.6
397.1
402.5
343.2
319.7
345.2
399.1
405.3
403.4
402.2
381.5
358.4
334.9
298.1
306.2
306.5
339.1
327.0
328.3
335.9
342.2
374.5

Total 1

139.5
143.9
152.7
163.3
177.9
185.0
199.8
214.2
228.8
239.7
257.4
286.1
321.4
349.2
377.7
408.4
450.2
511.6
573.4
625.4
646.3
678.8
721.5
757.2
774.2
814.3
862.3
929.5
994.2
1,020.3
1,055.2
1,090.8
1,139.4
1,179.8
1,241.4
1,291.2
1,330.0
1,432.6
1,543.4
1,587.7
1,617.9
1,712.6
1,830.7
1,968.4
2,088.7
2,198.2
2,296.0
2,204.2
2,338.0
2,143.9
2,184.7
2,206.6
2,257.8
2,284.3
2,341.6
2,369.9
2,188.4
2,146.2
2,170.7
2,231.0
2,269.0
2,319.3
2,303.4
2,331.8
2,397.7

Food and
beverages
Gasoline
purand
chased
other
for offenergy
premises goods
consumption
64.7
65.9
69.5
74.4
80.6
82.6
88.8
95.4
103.5
107.1
114.5
126.7
143.0
156.6
167.3
179.8
196.1
218.4
239.2
255.3
267.1
277.0
291.1
303.0
316.4
324.3
342.8
365.4
391.2
403.0
404.5
413.5
432.1
443.7
461.9
474.8
486.5
513.6
537.5
559.7
569.6
593.1
628.2
665.0
698.0
737.4
775.2
777.9
801.9
724.0
730.2
740.6
755.0
762.6
777.6
785.2
775.4
773.8
774.2
777.0
786.5
797.4
794.6
801.4
814.0

16.3
16.9
17.7
19.1
20.7
21.9
23.2
25.0
26.3
27.6
29.4
34.3
43.8
48.0
53.0
57.8
61.5
80.4
101.9
113.4
108.4
106.5
108.2
110.5
91.2
96.4
99.9
110.4
124.2
121.1
125.0
126.9
129.2
133.4
144.7
147.7
133.4
148.8
188.8
183.6
174.6
209.6
249.9
304.8
336.9
366.6
411.4
303.7
358.3
332.6
365.1
369.5
399.1
419.7
444.4
467.0
314.4
264.8
279.9
326.2
344.1
364.1
340.0
348.2
381.1

Total

174.4
184.6
199.2
214.1
231.3
248.8
273.4
300.4
329.5
359.5
396.4
435.4
481.4
542.5
604.9
677.4
764.1
853.2
956.0
1,070.1
1,176.2
1,314.8
1,437.4
1,580.0
1,701.1
1,840.7
2,012.7
2,170.7
2,344.2
2,482.6
2,673.6
2,841.2
3,004.3
3,171.7
3,355.9
3,563.9
3,808.5
4,052.8
4,371.2
4,614.8
4,829.2
5,076.6
5,392.8
5,745.1
6,100.9
6,448.6
6,725.0
6,770.6
6,924.3
6,339.0
6,409.8
6,481.1
6,564.6
6,650.3
6,724.3
6,751.9
6,773.3
6,754.6
6,744.7
6,764.6
6,818.6
6,850.9
6,907.9
6,946.7
6,991.8

Total 1

Housing
and
utilities

Health
care

168.7
178.6
192.5
206.9
223.5
240.4
264.0
290.4
318.4
347.2
382.8
420.7
465.0
524.4
584.9
655.6
739.6
825.4
924.1
1,033.9
1,136.1
1,271.9
1,389.8
1,529.7
1,645.8
1,782.1
1,946.0
2,099.0
2,264.5
2,398.4
2,581.3
2,746.6
2,901.9
3,064.6
3,240.2
3,451.6
3,677.5
3,907.4
4,205.9
4,428.6
4,624.2
4,864.8
5,182.8
5,531.0
5,860.6
6,194.5
6,446.1
6,511.8
6,658.2
6,089.8
6,164.2
6,224.3
6,299.5
6,378.9
6,449.8
6,469.3
6,486.5
6,489.6
6,493.8
6,507.5
6,556.2
6,589.6
6,643.2
6,679.2
6,720.7

64.5
68.2
72.1
76.6
81.2
86.3
92.7
101.0
109.4
120.0
131.2
143.5
158.6
176.5
194.7
217.8
244.3
273.4
311.8
352.0
387.0
421.2
458.3
500.7
535.7
571.8
614.5
655.6
696.4
735.5
771.2
814.5
866.5
913.8
961.2
1,009.9
1,065.2
1,125.0
1,198.6
1,287.7
1,334.8
1,393.8
1,462.2
1,582.8
1,686.0
1,755.8
1,833.1
1,876.3
1,901.9
1,737.3
1,748.8
1,762.0
1,775.0
1,802.1
1,827.0
1,839.7
1,863.8
1,870.2
1,870.0
1,877.5
1,887.6
1,887.1
1,892.5
1,910.9
1,916.9

19.1
21.0
24.2
26.0
28.7
31.9
36.6
42.1
47.7
53.7
59.8
67.2
76.1
89.0
101.8
115.7
131.2
148.8
171.7
201.9
225.2
253.1
276.5
302.2
330.2
366.0
410.1
451.2
506.2
555.8
612.8
648.8
680.5
719.9
752.1
790.9
832.0
863.6
918.4
996.6
1,082.9
1,149.3
1,229.7
1,316.0
1,380.7
1,465.4
1,547.2
1,623.2
1,686.5
1,441.0
1,455.0
1,470.3
1,495.3
1,524.0
1,543.5
1,552.8
1,568.5
1,594.4
1,618.9
1,629.5
1,650.1
1,657.5
1,680.4
1,694.3
1,713.8

Addendum:
Personal
consumption
expendiFinancial
tures
services excludand
ing
insurfood
ance
and
energy 2
15.4
15.9
17.7
19.4
21.3
22.8
25.8
28.5
31.1
34.1
38.3
41.5
45.9
54.0
59.3
67.8
80.6
87.6
95.6
102.0
116.3
145.9
156.6
180.5
196.7
207.1
219.4
235.7
253.2
282.0
311.8
341.0
349.0
364.7
393.6
431.3
469.6
514.2
570.0
562.8
576.2
601.8
667.5
712.6
752.4
818.9
848.1
813.8
820.7
795.6
811.5
826.1
842.3
848.3
856.3
850.5
837.5
816.5
813.3
809.3
816.3
824.9
829.9
812.2
815.6

1 Includes other items not shown separately.
2 Food consists of food and beverages purchased for off-premises consumption; food services, which include purchased meals and beverages, are not

classified as food.
Source: Department of Commerce (Bureau of Economic Analysis).

210 |

Appendix B

272.9
290.0
313.8
339.3
368.1
391.1
432.9
470.8
503.3
550.1
607.9
670.9
722.4
800.6
898.3
1,002.5
1,127.8
1,245.4
1,358.3
1,507.1
1,627.2
1,824.2
2,016.9
2,215.1
2,401.8
2,587.3
2,813.2
3,019.8
3,221.3
3,351.1
3,601.1
3,828.2
4,072.3
4,291.9
4,542.0
4,821.6
5,173.5
5,554.6
5,966.4
6,255.9
6,549.4
6,840.9
7,238.8
7,658.8
8,086.9
8,491.9
8,694.4
8,705.0
8,966.7
8,367.8
8,446.4
8,527.9
8,625.6
8,665.8
8,734.3
8,728.2
8,649.5
8,654.4
8,658.1
8,726.9
8,780.9
8,851.5
8,931.3
8,984.9
9,099.2

Table B–17. Real personal consumption expenditures, 1995–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]
Goods
Durable
Year or
quarter

1995 ��������������
1996 ��������������
1997 ��������������
1998 ��������������
1999 ��������������
2000 ��������������
2001 ��������������
2002 ��������������
2003 ��������������
2004 ��������������
2005 ��������������
2006 ��������������
2007 ��������������
2008 ��������������
2009 ��������������
2010 p ������������
2007: I ����������
      II ���������
      III ��������
      IV ��������
2008: I ����������
      II ���������
      III ��������
      IV ��������
2009: I ����������
      II ���������
      III ��������
      IV ��������
2010: I ����������
      II ���������
      III ��������
      IV p �����

Personal
consumption
expenditures

6,079.0
6,291.2
6,523.4
6,865.5
7,240.9
7,608.1
7,813.9
8,021.9
8,247.6
8,532.7
8,819.0
9,073.5
9,289.5
9,265.0
9,153.9
9,315.7
9,235.2
9,270.5
9,310.0
9,342.3
9,324.1
9,326.2
9,243.5
9,166.3
9,154.1
9,117.0
9,161.6
9,182.9
9,225.4
9,275.7
9,330.6
9,431.2

Total
Total 1

1,898.6
1,983.6
2,078.2
2,218.6
2,395.3
2,521.7
2,600.9
2,706.6
2,829.9
2,955.3
3,073.9
3,173.9
3,261.6
3,180.3
3,117.4
3,251.8
3,241.1
3,252.4
3,271.9
3,281.0
3,232.6
3,235.2
3,171.4
3,082.3
3,095.7
3,084.0
3,138.2
3,151.8
3,195.4
3,222.6
3,255.2
3,334.1

511.6
549.8
594.7
667.2
753.8
819.9
864.4
930.0
986.1
1,051.0
1,105.5
1,150.4
1,198.6
1,136.4
1,094.6
1,178.6
1,181.2
1,194.5
1,205.7
1,212.9
1,178.6
1,170.0
1,133.2
1,063.9
1,076.6
1,068.2
1,118.3
1,115.1
1,138.9
1,157.8
1,179.3
1,238.5

Services
Household consumption
expenditures

Nondurable

Motor
vehicles
and
parts

255.6
268.0
286.1
316.1
345.1
356.1
374.3
394.0
405.3
411.3
409.6
396.6
403.9
348.2
324.0
334.8
401.6
407.4
404.4
402.0
383.0
362.1
339.8
307.9
317.1
313.5
342.7
322.7
320.6
326.0
330.1
362.3

Total 1

1,437.8
1,479.4
1,522.9
1,580.3
1,660.9
1,714.7
1,745.6
1,780.2
1,845.6
1,904.6
1,968.4
2,023.6
2,064.3
2,041.2
2,017.4
2,073.7
2,060.2
2,059.0
2,067.7
2,070.3
2,054.5
2,064.6
2,035.6
2,010.1
2,012.0
2,008.3
2,016.9
2,032.3
2,053.5
2,063.4
2,076.2
2,101.7

Food and
beverages
Gasoline
purand
chased
other
for offenergy
premises goods
consumption
548.5
554.0
558.9
565.5
587.4
600.6
607.6
609.0
622.4
639.2
665.0
686.2
697.5
691.6
685.1
703.7
697.3
693.5
696.4
702.7
700.3
699.8
691.2
675.1
675.2
681.2
687.8
696.3
702.7
697.6
703.0
711.4

264.3
268.5
273.9
283.8
292.5
287.1
289.2
294.0
302.2
306.5
304.8
298.4
295.9
282.0
285.5
285.0
298.4
296.4
296.1
292.8
287.2
284.0
274.7
282.2
287.0
286.5
285.1
283.5
284.0
286.1
286.1
283.9

Total

4,208.2
4,331.4
4,465.0
4,661.8
4,852.8
5,093.3
5,218.7
5,318.1
5,418.4
5,577.6
5,745.1
5,899.7
6,028.3
6,082.3
6,032.7
6,065.4
5,994.4
6,018.3
6,038.7
6,061.7
6,090.6
6,090.2
6,070.0
6,078.5
6,053.6
6,027.7
6,020.7
6,028.7
6,029.6
6,053.4
6,076.9
6,101.9

Total 1

Housing
and
utilities

Health
care

4,068.6
4,183.3
4,327.2
4,510.6
4,690.4
4,917.8
5,028.8
5,109.3
5,199.0
5,359.3
5,531.0
5,664.4
5,783.2
5,816.1
5,777.0
5,803.7
5,753.7
5,780.8
5,792.4
5,805.9
5,830.2
5,828.5
5,802.1
5,803.6
5,793.5
5,778.4
5,766.5
5,769.7
5,769.9
5,791.7
5,814.4
5,838.6

1,234.9
1,261.7
1,290.4
1,329.8
1,371.8
1,413.7
1,451.5
1,462.0
1,480.2
1,512.8
1,582.8
1,616.7
1,626.4
1,638.6
1,656.9
1,675.4
1,625.8
1,624.8
1,628.6
1,626.2
1,636.3
1,637.6
1,630.9
1,649.7
1,650.1
1,652.0
1,659.4
1,666.3
1,664.3
1,668.9
1,683.0
1,685.6

947.5
967.1
997.1
1,029.5
1,045.6
1,081.5
1,135.4
1,202.3
1,229.4
1,268.6
1,316.0
1,340.0
1,371.6
1,410.0
1,440.4
1,459.6
1,362.9
1,368.2
1,372.9
1,382.3
1,401.5
1,411.0
1,410.1
1,417.4
1,430.0
1,442.1
1,441.6
1,447.9
1,446.7
1,457.6
1,461.9
1,472.4

Addendum:
Personal
consumption
expendiFinancial
tures
services excludand
ing
insurfood
ance
and
energy 2
489.4
507.8
525.2
558.6
605.6
665.4
660.7
658.3
657.8
691.8
712.6
735.4
766.4
770.9
743.0
725.9
755.9
765.7
769.8
774.2
774.9
772.1
772.8
763.9
753.9
746.2
739.4
732.5
727.4
729.5
720.7
725.8

5,126.4
5,321.9
5,543.3
5,862.9
6,202.5
6,548.6
6,745.7
6,941.9
7,142.0
7,402.6
7,658.8
7,905.7
8,111.1
8,114.2
8,002.9
8,136.5
8,053.7
8,095.1
8,129.8
8,165.7
8,152.0
8,162.9
8,113.7
8,028.2
8,015.2
7,973.7
8,007.1
8,015.4
8,055.2
8,106.8
8,144.6
8,239.4

1 Includes other items not shown separately.
2 Food consists of food and beverages purchased for off-premises consumption; food services, which include purchased meals and beverages, are not

classified as food.
Note: See Table B–2 for data for total personal consumption expenditures for 1962–94.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 211

Table B–18. Private fixed investment by type, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Nonresidential

Residential

Equipment and software

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Private
fixed
investment

82.0
88.1
97.2
109.0
117.7
118.7
132.1
147.3
150.4
169.9
198.5
228.6
235.4
236.5
274.8
339.0
412.2
474.9
485.6
542.6
532.1
570.1
670.2
714.4
739.9
757.8
803.1
847.3
846.4
803.3
848.5
932.5
1,033.5
1,112.9
1,209.4
1,317.7
1,447.1
1,580.7
1,717.7
1,700.2
1,634.9
1,713.3
1,903.6
2,122.3
2,267.2
2,266.1
2,137.8
1,716.4
1,752.8
2,260.4
2,282.1
2,274.0
2,247.9
2,212.5
2,194.1
2,140.8
2,003.8
1,782.3
1,709.8
1,691.8
1,681.9
1,689.8
1,761.4
1,768.6
1,791.5

Total
nonresidential

53.1
56.0
63.0
74.8
85.4
86.4
93.4
104.7
109.0
114.1
128.8
153.3
169.5
173.7
192.4
228.7
280.6
333.9
362.4
420.0
426.5
417.2
489.6
526.2
519.8
524.1
563.8
607.7
622.4
598.2
612.1
666.6
731.4
810.0
875.4
968.6
1,061.1
1,154.9
1,268.7
1,227.8
1,125.4
1,135.7
1,223.0
1,347.3
1,505.3
1,637.5
1,665.3
1,364.4
1,412.5
1,579.6
1,624.9
1,660.7
1,684.6
1,695.4
1,697.5
1,678.2
1,590.1
1,415.2
1,367.5
1,343.8
1,330.9
1,349.6
1,404.2
1,438.8
1,457.2

Information processing equipment
and software
Structures

Total
Total

20.8
21.2
23.7
28.3
31.3
31.5
33.6
37.7
40.3
42.7
47.2
55.0
61.2
61.4
65.9
74.6
93.6
117.7
136.2
167.3
177.6
154.3
177.4
194.5
176.5
174.2
182.8
193.7
202.9
183.6
172.6
177.2
186.8
207.3
224.6
250.3
275.1
283.9
318.1
329.7
282.8
281.9
306.7
351.8
433.7
524.9
582.4
451.6
381.8
479.5
512.3
545.5
562.2
567.1
584.4
590.4
587.9
507.5
464.0
436.6
398.2
380.1
381.5
380.9
384.7

32.3
34.8
39.2
46.5
54.0
54.9
59.9
67.0
68.7
71.5
81.7
98.3
108.2
112.4
126.4
154.1
187.0
216.2
226.2
252.7
248.9
262.9
312.2
331.7
343.3
349.9
381.0
414.0
419.5
414.6
439.6
489.4
544.6
602.8
650.8
718.3
786.0
871.0
950.5
898.1
842.7
853.8
916.4
995.6
1,071.7
1,112.6
1,082.9
912.8
1,030.7
1,100.1
1,112.6
1,115.1
1,122.4
1,128.3
1,113.2
1,087.9
1,002.2
907.8
903.5
907.2
932.7
969.5
1,022.7
1,057.9
1,072.5

5.7
6.5
7.4
8.5
10.7
11.3
11.9
14.6
16.6
17.3
19.5
23.1
27.0
28.5
32.7
39.2
48.7
58.5
68.8
81.5
88.3
100.1
121.5
130.3
136.8
141.2
154.9
172.6
177.2
182.9
199.9
217.6
235.2
263.0
290.1
330.3
366.1
417.1
478.2
452.5
419.8
430.9
455.3
475.3
505.2
536.6
549.9
530.7
590.2
531.4
532.1
534.9
548.0
556.9
562.8
552.2
527.9
511.5
518.6
533.7
559.0
568.0
586.2
595.5
611.2

1 Includes other items not shown separately.

Source: Department of Commerce (Bureau of Economic Analysis).

212 |

Appendix B

Structures

Computers
and
peripheral
equipment
0.3
.7
.9
1.2
1.7
1.9
1.9
2.4
2.7
2.8
3.5
3.5
3.9
3.6
4.4
5.7
7.6
10.2
12.5
17.1
18.9
23.9
31.6
33.7
33.4
35.8
38.0
43.1
38.6
37.7
44.0
47.9
52.4
66.1
72.8
81.4
87.9
97.2
103.2
87.6
79.7
77.6
80.2
78.9
84.9
87.0
88.6
80.0
97.6
88.1
84.7
86.1
89.3
92.6
94.4
88.1
79.4
75.0
76.0
78.9
90.1
90.5
98.4
97.8
103.6

Software

0.2
.4
.5
.7
1.0
1.2
1.3
1.8
2.3
2.4
2.8
3.2
3.9
4.8
5.2
5.5
6.3
8.1
9.8
11.8
14.0
16.4
20.4
23.8
25.6
29.0
34.2
41.9
47.6
53.7
57.9
64.3
68.3
74.6
85.5
107.5
126.0
157.3
184.5
186.6
183.0
191.3
205.7
218.0
229.8
245.0
259.7
260.2
282.7
242.8
243.3
245.3
248.7
257.7
260.2
261.9
259.1
253.6
257.7
260.0
269.4
274.7
279.6
285.3
291.2

Other

5.1
5.4
5.9
6.7
8.0
8.2
8.7
10.4
11.6
12.2
13.2
16.3
19.2
20.2
23.1
28.0
34.8
40.2
46.4
52.5
55.3
59.8
69.6
72.9
77.7
76.4
82.8
87.6
90.9
91.5
98.1
105.4
114.6
122.3
131.9
141.4
152.2
162.5
190.6
178.4
157.0
162.0
169.4
178.4
190.6
204.6
201.6
190.4
210.0
200.6
204.2
203.5
210.0
206.6
208.1
202.1
189.4
182.8
184.8
194.7
199.5
202.8
208.3
212.4
216.4

Industrial
equipment

Transportation
equipment

Other
equipment

9.3
10.0
11.4
13.7
16.2
16.9
17.3
19.1
20.3
19.5
21.4
26.0
30.7
31.3
34.1
39.4
47.7
56.2
60.7
65.5
62.7
58.9
68.1
72.5
75.4
76.7
84.2
93.3
92.1
89.3
93.0
102.2
113.6
129.0
136.5
140.4
147.4
149.1
162.9
151.9
141.7
142.6
142.0
159.6
178.4
193.0
193.7
150.4
160.9
182.7
197.8
199.7
191.9
195.3
197.2
196.5
185.7
157.1
150.8
147.1
146.4
146.8
161.6
164.7
170.4

9.8
9.4
10.6
13.2
14.5
14.3
17.6
18.9
16.2
18.4
21.8
26.6
26.3
25.2
30.0
39.3
47.3
53.6
48.4
50.6
46.8
53.5
64.4
69.0
70.5
68.1
72.9
67.9
70.0
71.5
74.7
89.4
107.7
116.1
123.2
135.5
147.1
174.4
170.8
154.2
141.6
132.9
161.1
181.7
198.2
190.2
147.2
76.4
112.6
199.0
188.8
186.2
186.6
184.9
161.3
141.6
100.9
70.9
79.8
76.0
78.8
97.0
110.9
125.4
117.1

7.5
8.8
9.9
11.0
12.7
12.4
13.0
14.4
15.6
16.3
19.0
22.6
24.3
27.4
29.6
36.3
43.2
47.9
48.3
55.2
51.2
50.4
58.1
59.9
60.7
63.9
69.0
80.2
80.2
70.8
72.0
80.2
88.1
94.7
101.0
112.1
125.4
130.4
138.6
139.5
139.6
147.5
157.9
178.9
189.8
192.8
192.1
155.4
166.9
187.0
193.9
194.4
195.8
191.3
191.8
197.6
187.7
168.3
154.4
150.5
148.6
157.7
163.9
172.3
173.8

Total
residential 1

29.0
32.1
34.3
34.2
32.3
32.4
38.7
42.6
41.4
55.8
69.7
75.3
66.0
62.7
82.5
110.3
131.6
141.0
123.2
122.6
105.7
152.9
180.6
188.2
220.1
233.7
239.3
239.5
224.0
205.1
236.3
266.0
302.1
302.9
334.1
349.1
385.9
425.8
449.0
472.4
509.5
577.6
680.6
775.0
761.9
628.6
472.5
352.1
340.4
680.7
657.2
613.3
563.3
517.1
496.6
462.5
413.7
367.0
342.2
348.0
351.0
340.2
357.2
329.8
334.3

Total 1

28.4
31.5
33.6
33.5
31.6
31.6
37.9
41.6
40.2
54.5
68.1
73.6
64.1
60.8
80.4
107.9
128.9
137.8
119.8
118.9
102.0
148.6
175.9
183.1
214.6
227.9
233.2
233.4
218.0
199.4
230.4
259.9
295.9
296.5
327.7
342.8
379.2
418.5
441.2
464.4
501.3
569.1
671.4
765.2
751.6
618.4
462.7
343.1
331.2
670.4
646.9
603.1
553.1
507.2
486.6
452.7
404.3
357.9
333.3
339.1
342.1
331.1
348.1
320.7
325.1

Single
family

15.1
16.0
17.6
17.8
16.6
16.8
19.5
19.7
17.5
25.8
32.8
35.2
29.7
29.6
43.9
62.2
72.8
72.3
52.9
52.0
41.5
72.5
86.4
87.4
104.1
117.2
120.1
120.9
112.9
99.4
122.0
140.1
162.3
153.5
170.8
175.2
199.4
223.8
236.8
249.1
265.9
310.6
377.6
433.5
416.0
305.2
185.8
105.3
112.6
339.8
324.1
298.0
258.8
221.3
202.1
174.0
145.7
112.4
94.5
104.4
110.1
114.8
118.9
110.5
106.2

Table B–19. Real private fixed investment by type, 1995–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]
Nonresidential

Residential

Equipment and software

Year or quarter

1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Private
fixed
investment

1,235.7
1,346.5
1,470.8
1,630.4
1,782.1
1,913.8
1,877.6
1,798.1
1,856.2
1,992.5
2,122.3
2,171.3
2,132.7
1,997.0
1,630.7
1,692.1
2,127.7
2,147.2
2,140.8
2,114.9
2,081.6
2,057.3
1,993.3
1,855.6
1,663.4
1,619.6
1,622.4
1,617.1
1,630.5
1,702.5
1,708.8
1,726.6

Total
nonresidential

792.2
866.2
970.8
1,087.4
1,200.9
1,318.5
1,281.8
1,180.2
1,191.0
1,263.0
1,347.3
1,453.9
1,552.0
1,556.6
1,290.8
1,362.2
1,499.0
1,539.1
1,574.1
1,595.9
1,603.7
1,597.0
1,561.5
1,464.2
1,313.7
1,288.3
1,282.9
1,278.3
1,302.6
1,355.3
1,388.0
1,403.1

Structures

Information processing equipment
and software
Structures

342.0
361.4
387.9
407.7
408.2
440.0
433.3
356.6
343.0
346.7
351.8
384.0
438.2
464.2
369.6
317.7
404.8
430.6
454.6
462.9
462.7
471.2
466.9
456.1
399.7
377.8
365.5
335.3
319.3
318.9
316.0
316.7

Total

Computers
and
peripheral
equipment 1

149.5
179.1
220.8
271.1
332.0
391.9
390.2
379.3
405.0
443.1
475.3
514.8
560.5
594.7
595.8
675.5
546.5
550.2
561.5
583.8
597.4
606.2
598.1
577.2
567.3
581.4
601.8
632.9
645.7
669.1
683.3
704.0

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������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

Total

493.0
545.4
620.4
710.4
810.9
895.8
866.9
830.3
851.4
917.3
995.6
1,069.6
1,109.0
1,082.0
916.3
1,054.8
1,093.0
1,104.6
1,112.6
1,125.7
1,134.0
1,116.5
1,084.1
993.3
903.4
903.8
913.1
944.7
989.7
1,046.0
1,084.2
1,099.5

Software

66.9
78.5
101.7
122.8
151.5
172.4
173.7
173.4
185.6
204.6
218.0
227.1
240.9
254.9
259.3
284.3
238.9
239.2
241.1
244.2
253.4
254.8
256.3
255.0
250.7
256.2
260.7
269.5
275.4
280.9
287.5
293.5

Other

93.7
102.7
111.5
125.5
139.9
168.4
163.2
148.4
156.4
168.1
178.4
191.2
210.6
217.9
215.5
242.5
201.4
205.8
210.9
224.5
221.0
224.1
219.3
207.4
204.8
209.5
220.3
227.4
232.3
239.5
245.9
252.4

Industrial
equipment

Transportation
equipment

Other
equipment

145.5
150.9
154.1
160.8
161.8
175.8
162.8
151.9
151.6
147.4
159.6
172.9
179.9
172.2
132.2
139.8
172.6
185.0
185.4
176.5
177.6
176.2
172.4
162.8
138.2
132.8
129.3
128.3
128.4
140.7
143.0
147.2

131.5
136.8
148.2
162.0
190.3
186.2
169.6
154.2
140.4
162.3
181.7
196.5
185.8
143.0
69.4
111.6
195.1
184.1
181.3
182.6
182.1
158.1
136.5
95.3
64.2
70.5
68.5
74.5
95.8
110.2
124.8
115.5

110.6
114.8
125.9
138.8
142.4
150.4
149.3
148.2
155.0
164.4
178.9
185.5
184.2
177.5
137.8
150.2
179.9
185.8
185.6
185.6
180.8
181.1
182.3
165.7
148.1
136.4
134.1
132.7
142.4
147.8
154.5
155.8

Total
residential 2

456.1
492.5
501.8
540.4
574.2
580.0
583.3
613.8
664.3
729.5
775.0
718.2
584.2
444.2
342.7
332.5
631.3
611.4
570.6
523.3
482.2
464.4
435.6
394.7
352.7
333.9
342.4
341.7
330.7
350.1
323.3
326.0

Total 2

450.1
486.8
496.3
534.5
567.5
572.6
575.6
605.9
655.9
720.1
765.2
708.1
574.2
434.7
333.9
323.1
621.3
601.5
560.7
513.5
472.6
454.6
426.1
385.7
344.0
325.4
333.6
332.7
321.4
340.7
313.8
316.3

Single
family

240.2
262.4
261.6
290.1
311.5
315.0
315.4
327.7
362.6
406.1
433.5
391.1
284.0
178.2
105.4
114.6
314.0
301.8
278.0
242.1
209.5
193.0
168.2
142.3
110.0
94.7
106.2
110.9
115.9
121.9
112.9
107.8

1 Because computers exhibit rapid changes in prices relative to other prices in the economy, the chained-dollar estimates should not be used to measure
the component’s relative importance or its contribution to the growth rate of more aggregate series. The quantity index for computers can be used to accurately
measure the real growth rate of this series. For information on this component, see Survey of Current Business Table 5.3.1 (for growth rates), Table 5.3.2 (for
contributions), and Table 5.3.3 (for quantity indexes).
2 Includes other items not shown separately.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 213

Table B–20. Government consumption expenditures and gross investment by type,
1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Government consumption expenditures and gross investment
Federal

State and local

National defense
Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Total

130.1
136.4
143.2
151.4
171.6
192.5
209.3
221.4
233.7
246.4
263.4
281.7
317.9
357.7
383.0
414.1
453.6
500.7
566.1
627.5
680.4
733.4
796.9
878.9
949.3
999.4
1,038.9
1,100.6
1,181.7
1,236.1
1,273.5
1,294.8
1,329.8
1,374.0
1,421.0
1,474.4
1,526.1
1,631.3
1,731.0
1,846.4
1,983.3
2,112.6
2,232.8
2,369.9
2,518.4
2,674.2
2,878.3
2,914.9
3,002.3
2,604.4
2,656.0
2,698.4
2,738.2
2,802.3
2,869.8
2,934.7
2,906.5
2,872.0
2,919.3
2,933.8
2,934.5
2,955.7
2,990.8
3,022.2
3,040.7

Total

75.2
76.9
78.4
80.4
92.4
104.6
111.3
113.3
113.4
113.6
119.6
122.5
134.5
149.0
159.7
175.4
190.9
210.6
243.7
280.2
310.8
342.9
374.3
412.8
438.4
459.5
461.6
481.4
507.5
526.6
532.9
525.0
518.6
518.8
527.0
531.0
531.0
554.9
576.1
611.7
680.6
756.5
824.6
876.3
931.7
976.3
1,079.9
1,139.6
1,214.4
944.0
968.7
992.1
1,000.6
1,033.4
1,065.2
1,105.5
1,115.4
1,103.2
1,139.8
1,155.4
1,159.9
1,178.1
1,206.7
1,233.9
1,238.7

Total

61.1
61.0
60.2
60.6
71.7
83.4
89.2
89.5
87.6
84.6
86.9
88.1
95.6
103.9
111.1
120.9
130.5
145.2
168.0
196.2
225.9
250.6
281.5
311.2
330.8
350.0
354.7
362.1
373.9
383.1
376.8
363.0
353.8
348.8
354.8
349.8
346.1
361.1
371.0
393.0
437.7
497.9
550.8
589.0
624.9
662.3
737.3
771.6
817.8
637.6
657.0
674.7
679.9
702.1
724.9
762.1
760.2
743.9
769.9
787.3
785.4
796.3
813.0
830.8
831.0

Consumption
expenditures
46.6
48.3
48.8
50.6
59.9
69.9
77.1
78.1
76.5
77.1
79.5
79.4
84.5
90.9
95.8
104.2
112.7
123.8
143.7
167.3
191.1
208.7
232.8
253.7
267.9
283.6
293.5
299.4
308.0
319.7
315.2
307.5
300.8
297.0
303.2
304.5
300.3
313.0
321.8
342.0
380.7
435.2
481.2
514.8
543.9
575.4
635.7
664.1
698.3
555.8
569.0
585.8
590.9
612.2
622.8
655.1
652.5
642.8
663.4
676.9
673.5
684.0
695.2
711.2
703.0

Gross investment
Structures
2.0
1.6
1.3
1.1
1.3
1.2
1.2
1.5
1.3
1.8
1.8
2.1
2.2
2.3
2.1
2.4
2.5
2.5
3.2
3.2
4.0
4.8
4.9
6.2
6.8
7.7
7.4
6.4
6.1
4.6
5.2
5.3
5.8
6.7
6.3
6.1
5.8
5.4
5.4
5.3
5.8
7.3
7.1
7.5
8.1
10.1
11.3
15.9
19.0
9.0
11.5
10.3
9.5
8.7
11.6
12.5
12.5
14.2
13.8
17.7
18.1
18.3
18.2
19.1
20.6

Source: Department of Commerce (Bureau of Economic Analysis).

214 |

Appendix B

Nondefense

Equipment
and
software
12.5
11.0
10.2
8.9
10.5
12.3
10.9
9.9
9.8
5.7
5.7
6.6
8.9
10.7
13.2
14.4
15.3
18.9
21.1
25.7
30.8
37.1
43.8
51.3
56.1
58.8
53.9
56.3
59.8
58.8
56.3
50.1
47.2
45.1
45.4
39.2
39.9
42.8
43.8
45.6
51.2
55.4
62.4
66.8
72.9
76.9
90.3
91.5
100.4
72.9
76.5
78.5
79.6
81.1
90.5
94.5
95.1
86.8
92.8
92.7
93.8
94.1
99.7
100.5
107.4

Total

14.1
15.9
18.2
19.8
20.8
21.2
22.0
23.8
25.8
29.1
32.7
34.3
39.0
45.1
48.6
54.5
60.4
65.4
75.8
83.9
84.9
92.3
92.7
101.6
107.6
109.6
106.8
119.3
133.6
143.4
156.1
162.0
164.8
170.0
172.2
181.1
184.9
193.8
205.0
218.7
242.9
258.5
273.9
287.3
306.8
314.0
342.5
368.0
396.6
306.4
311.7
317.4
320.7
331.3
340.3
343.4
355.1
359.4
369.8
368.1
374.5
381.8
393.7
403.1
407.7

Consumption
expenditures
11.3
12.4
14.0
15.1
15.9
17.0
18.2
20.2
22.1
24.9
28.2
29.4
33.4
38.7
41.4
46.5
50.6
55.1
63.8
71.0
72.1
77.7
77.1
84.7
90.1
90.1
88.3
99.1
111.0
118.6
128.9
133.7
139.9
143.2
143.4
153.0
154.3
160.3
174.2
188.1
209.8
225.1
240.2
251.0
267.1
273.5
299.0
323.0
345.0
267.0
271.4
276.2
279.6
289.7
297.3
299.2
309.8
315.3
325.6
322.8
328.3
333.3
343.3
350.4
352.8

Gross investment

Gross investment
Structures
2.1
2.3
2.5
2.8
2.8
2.2
2.1
1.9
2.1
2.5
2.7
3.1
3.4
4.1
4.6
5.0
6.1
6.3
7.1
7.7
6.8
6.7
7.0
7.3
8.0
9.0
6.8
6.9
8.0
9.2
10.3
11.2
10.2
10.8
11.3
9.9
10.8
10.7
8.3
8.1
9.9
10.3
9.1
8.3
9.5
11.1
11.3
12.1
15.4
10.4
10.9
11.7
11.3
10.4
10.8
11.7
12.6
11.7
11.7
12.4
12.5
13.7
15.0
15.6
17.4

Equipment
and
software
0.8
1.2
1.6
1.9
2.1
1.9
1.7
1.7
1.7
1.7
1.8
1.8
2.2
2.4
2.7
3.0
3.7
4.0
4.9
5.3
6.0
7.8
8.7
9.6
9.5
10.4
11.7
13.4
14.6
15.7
16.9
17.0
14.7
16.0
17.5
18.2
19.9
22.7
22.6
22.5
23.2
23.1
24.6
28.0
30.2
29.4
32.2
32.9
36.2
29.0
29.4
29.5
29.7
31.3
32.2
32.6
32.8
32.4
32.5
32.9
33.6
34.7
35.4
37.1
37.5

Total

Consumption
expenditures

54.9
59.5
64.8
71.0
79.2
87.9
98.0
108.2
120.3
132.8
143.8
159.2
183.4
208.7
223.3
238.7
262.7
290.2
322.4
347.3
369.7
390.5
422.6
466.1
510.9
539.9
577.3
619.2
674.2
709.5
740.6
769.8
811.2
855.3
894.0
943.5
995.0
1,076.3
1,154.9
1,234.7
1,302.7
1,356.1
1,408.2
1,493.6
1,586.7
1,697.9
1,798.5
1,775.3
1,788.0
1,660.3
1,687.3
1,706.4
1,737.6
1,768.9
1,804.6
1,829.2
1,791.2
1,768.8
1,779.5
1,778.4
1,774.7
1,777.6
1,784.1
1,788.2
1,802.0

39.0
41.9
45.8
50.2
56.1
62.6
70.4
79.8
91.5
102.7
113.2
126.0
143.7
165.1
179.5
195.9
213.2
233.3
258.4
282.3
304.9
324.1
347.7
381.8
418.1
441.4
471.0
504.5
547.0
577.5
606.2
634.2
668.2
701.3
730.2
764.5
808.6
870.6
930.6
994.2
1,049.4
1,096.5
1,139.1
1,212.0
1,282.3
1,368.9
1,448.2
1,424.4
1,447.5
1,337.8
1,360.6
1,376.2
1,401.0
1,427.8
1,455.0
1,474.2
1,435.7
1,415.7
1,424.0
1,425.6
1,432.2
1,447.4
1,446.7
1,441.3
1,454.7

Structures

14.5
16.0
17.2
19.0
21.0
23.0
25.2
25.6
25.8
27.0
27.1
29.1
34.7
38.1
38.1
36.9
42.8
49.0
55.1
55.4
54.2
54.2
60.5
67.6
74.2
78.8
84.8
88.7
98.5
103.2
104.2
104.5
108.7
117.3
126.8
139.5
143.6
159.7
176.0
192.3
205.8
211.8
220.2
230.8
249.9
268.4
286.7
288.5
276.7
264.1
266.6
268.7
274.0
277.7
285.7
291.2
292.2
290.9
293.2
290.6
279.5
267.0
273.5
283.0
283.3

Equipment
and
software
1.3
1.5
1.8
1.9
2.1
2.3
2.4
2.7
3.0
3.1
3.5
4.1
4.9
5.5
5.7
5.9
6.6
7.8
8.9
9.5
10.6
12.2
14.4
16.8
18.6
19.6
21.5
26.0
28.7
28.9
30.1
31.2
34.3
36.7
36.9
39.4
42.9
46.1
48.3
48.2
47.5
47.8
48.9
50.8
54.5
60.7
63.6
62.4
63.8
58.5
60.1
61.5
62.6
63.4
63.9
63.7
63.3
62.1
62.3
62.3
63.0
63.2
63.9
64.0
64.0

Table B–21. Real government consumption expenditures and gross investment by type,
1995–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]
Government consumption expenditures and gross investment
Federal

State and local

National defense
Year or quarter

1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Total

1,888.9
1,907.9
1,943.8
1,985.0
2,056.1
2,097.8
2,178.3
2,279.6
2,330.5
2,362.0
2,369.9
2,402.1
2,434.2
2,502.7
2,542.6
2,570.1
2,406.7
2,426.8
2,447.9
2,455.3
2,469.2
2,489.4
2,521.5
2,530.7
2,511.5
2,549.3
2,559.3
2,550.3
2,540.2
2,564.9
2,589.6
2,585.8

Total

704.1
696.0
689.1
681.4
694.6
698.1
726.5
779.5
831.1
865.0
876.3
894.9
906.1
971.8
1,027.6
1,077.0
883.6
898.9
919.7
922.2
937.6
955.3
987.5
1,006.9
994.1
1,029.2
1,043.5
1,043.6
1,048.4
1,071.5
1,094.3
1,093.9

Total

476.8
470.4
457.2
447.5
455.8
453.5
470.7
505.3
549.2
580.4
589.0
598.4
611.8
657.7
693.0
720.3
595.3
607.3
622.3
622.4
632.7
643.4
673.0
681.6
666.8
693.2
708.3
703.8
704.4
717.1
731.8
728.1

Consumption
expenditures
424.5
418.5
412.2
401.2
407.6
403.9
418.5
445.8
484.1
509.4
514.8
519.1
528.0
562.1
591.7
608.8
515.9
522.3
536.8
537.0
547.0
547.4
573.0
581.0
571.7
592.6
604.0
598.5
598.9
606.8
619.8
609.6

Nondefense

Gross investment
Structures
10.1
9.2
8.7
8.1
7.2
6.9
6.5
7.0
8.5
7.8
7.5
7.5
8.8
9.6
13.5
16.2
8.0
10.1
9.0
8.1
7.5
9.8
10.5
10.6
11.8
11.6
15.0
15.4
15.6
15.6
16.3
17.4

Equipment
and
software
43.7
43.8
38.9
40.1
42.4
43.6
46.3
52.7
57.0
63.3
66.8
71.9
75.1
86.5
87.9
95.7
71.5
75.0
76.6
77.4
78.5
86.9
90.1
90.5
83.4
89.3
89.2
89.9
89.9
95.0
96.0
101.9

Total

227.5
225.7
231.9
233.7
238.7
244.4
255.5
273.9
281.7
284.6
287.3
296.6
294.2
314.0
334.6
356.8
288.2
291.5
297.3
299.8
304.8
311.9
314.2
325.2
327.3
335.9
335.2
339.8
344.0
354.5
362.6
365.9

Consumption
expenditures
201.2
196.2
203.2
201.2
202.9
212.4
224.2
239.7
247.1
250.2
251.0
257.5
254.7
271.8
290.6
306.4
249.7
252.2
257.1
259.8
264.3
270.1
271.4
281.4
284.5
292.7
290.7
294.5
296.6
305.3
311.3
312.6

Gross investment

Gross investment
Structures
15.7
15.9
13.8
14.5
14.0
10.4
9.8
11.8
11.9
9.9
8.3
8.8
9.8
9.5
10.1
13.1
9.4
9.7
10.2
9.8
8.9
9.2
9.7
10.3
9.6
9.7
10.5
10.7
11.7
12.8
13.2
14.7

Equipment
and
software
13.7
15.5
16.6
18.7
21.7
21.5
21.6
22.7
23.0
24.6
28.0
30.3
29.7
32.9
33.9
37.2
29.1
29.6
29.8
30.2
31.8
32.8
33.2
33.6
33.4
33.5
34.0
34.6
35.7
36.4
38.2
38.7

Total

Consumption
expenditures

1,183.6
1,211.1
1,254.3
1,303.8
1,361.8
1,400.1
1,452.3
1,500.6
1,499.7
1,497.1
1,493.6
1,507.2
1,528.1
1,532.6
1,518.8
1,499.0
1,522.9
1,527.8
1,528.4
1,533.3
1,532.2
1,535.1
1,536.2
1,526.8
1,520.1
1,523.8
1,520.0
1,511.2
1,496.8
1,499.1
1,501.7
1,498.4

983.0
1,001.0
1,027.7
1,070.8
1,109.5
1,133.7
1,172.6
1,211.3
1,207.5
1,207.4
1,212.0
1,220.7
1,239.8
1,240.2
1,232.1
1,220.1
1,235.5
1,239.8
1,240.6
1,243.4
1,241.6
1,240.2
1,241.3
1,237.8
1,235.7
1,234.7
1,229.5
1,228.4
1,225.1
1,222.3
1,217.9
1,215.3

Structures

175.4
184.3
196.7
196.5
210.9
222.2
234.8
244.2
245.5
241.3
230.8
231.4
227.6
229.3
225.4
216.6
228.8
227.8
226.4
227.4
227.3
231.3
231.7
227.0
223.8
227.9
228.9
220.9
210.5
214.6
221.1
220.1

Equipment
and
software
29.1
29.9
33.1
37.7
41.8
44.3
45.3
45.8
47.2
48.6
50.8
55.2
61.6
64.2
62.5
64.4
59.3
60.9
62.6
63.8
64.6
64.8
64.2
63.3
62.1
62.2
62.4
63.5
63.6
64.4
64.4
64.9

Note: See Table B–2 for data for total government consumption expenditures and gross investment for 1962–94.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 215

Table B–22. Private inventories and domestic final sales by industry, 1962–2010
[Billions of dollars, except as noted; seasonally adjusted]
Private inventories 1
Quarter
Total 2
Fourth quarter:
1962 ����������������
1963 ����������������
1964 ����������������
1965 ����������������
1966 ����������������
1967 ����������������
1968 ����������������
1969 ����������������
1970 ����������������
1971 ����������������
1972 ����������������
1973 ����������������
1974 ����������������
1975 ����������������
1976 ����������������
1977 ����������������
1978 ����������������
1979 ����������������
1980 ����������������
1981 ����������������
1982 ����������������
1983 ����������������
1984 ����������������
1985 ����������������
1986 ����������������
1987 ����������������
1988 ����������������
1989 ����������������
1990 ����������������
1991 ����������������
1992 ����������������
1993 ����������������
1994 ����������������
1995 ����������������
NAICS:
1996 ����������������
1997 ����������������
1998 ����������������
1999 ����������������
2000 ����������������
2001 ����������������
2002 ����������������
2003 ����������������
2004 ����������������
2005 ����������������
2006 ����������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Farm

Mining,
utilities,
and
construction 2

Manufac- Wholesale
turing
trade

Retail
trade

Other
industries 2

Nonfarm 2

Final
sales
of
domestic
business 3

Ratio of private
inventories
to final sales of
domestic business
Total

Nonfarm

147.4
149.9
154.5
169.4
185.6
194.8
208.1
227.4
235.7
253.7
283.6
351.5
405.6
408.5
439.6
482.0
570.9
667.6
739.0
779.1
773.9
796.9
869.0
875.9
858.0
924.2
999.7
1,044.3
1,082.0
1,057.2
1,082.6
1,116.0
1,194.5
1,257.2

47.0
44.4
42.2
47.2
47.3
45.7
48.8
52.8
52.4
59.3
73.7
102.2
87.6
89.5
85.3
90.6
119.3
134.9
140.3
127.4
131.3
131.7
131.4
125.8
113.0
119.9
130.7
129.6
133.1
123.2
133.1
132.3
134.5
131.1

�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������

53.2
55.1
58.6
63.4
73.0
79.9
85.1
92.6
95.5
96.6
102.1
121.5
162.6
162.2
178.7
193.2
219.8
261.8
293.4
313.1
304.6
308.9
344.5
333.3
320.6
339.6
372.4
390.5
404.5
384.1
377.6
380.1
404.3
424.5

18.0
19.5
20.8
22.5
25.8
28.1
29.3
32.5
36.4
39.4
43.1
51.7
66.9
66.5
74.1
84.0
99.0
119.5
139.4
148.8
147.9
153.4
169.1
175.9
182.0
195.8
213.9
222.8
236.8
239.2
248.3
258.6
281.5
303.7

22.7
23.9
25.2
28.0
30.6
30.9
34.2
37.5
38.5
44.7
49.8
58.4
63.9
64.4
73.0
80.9
94.1
104.7
111.7
123.2
123.2
137.6
157.0
171.4
176.2
199.1
213.2
231.4
236.6
240.2
249.4
268.6
293.6
312.2

6.6
7.1
7.7
8.3
8.9
10.1
10.6
12.0
12.9
13.7
14.8
17.7
24.7
25.9
28.5
33.3
38.8
46.6
54.1
66.6
66.8
65.2
66.9
69.5
66.3
69.9
69.5
70.1
71.0
70.5
74.3
76.5
80.6
85.6

100.5
105.5
112.2
122.2
138.3
149.1
159.3
174.6
183.3
194.4
209.9
249.4
318.1
319.0
354.2
391.4
451.7
532.6
598.7
651.7
642.6
665.1
737.6
750.2
745.1
804.4
869.1
914.7
948.9
934.0
949.5
983.7
1,060.0
1,126.1

35.6
37.9
40.8
44.9
47.4
49.9
55.0
58.7
61.9
67.5
75.7
83.7
89.8
101.1
111.2
124.0
143.6
159.4
174.1
186.7
194.8
215.7
233.6
249.5
264.2
277.7
304.1
322.8
335.9
345.7
370.9
391.4
413.9
436.0

4.14
3.95
3.79
3.77
3.92
3.90
3.79
3.88
3.81
3.76
3.74
4.20
4.52
4.04
3.95
3.89
3.98
4.19
4.24
4.17
3.97
3.69
3.72
3.51
3.25
3.33
3.29
3.23
3.22
3.06
2.92
2.85
2.89
2.88

2.82
2.78
2.75
2.72
2.92
2.99
2.90
2.98
2.96
2.88
2.77
2.98
3.54
3.16
3.19
3.16
3.15
3.34
3.44
3.49
3.30
3.08
3.16
3.01
2.82
2.90
2.86
2.83
2.82
2.70
2.56
2.51
2.56
2.58

1,284.7
1,327.3
1,341.6
1,432.7
1,524.0
1,447.3
1,489.1
1,545.7
1,681.5
1,804.6
1,917.1
1,952.5
1,976.8
2,008.4
2,077.5
2,147.8
2,223.4
2,202.2
2,022.6
1,952.5
1,906.3
1,886.7
1,922.8
1,954.7
1,952.6
2,038.1
2,118.5

136.6
136.9
120.5
124.3
132.1
126.2
135.9
151.0
157.2
165.2
165.1
177.2
174.7
182.7
188.3
197.0
212.6
205.5
185.4
180.8
177.5
174.6
178.8
188.8
186.1
211.1
231.4

31.1
33.0
36.6
38.5
42.3
45.3
46.5
54.7
64.1
81.7
90.7
93.8
98.1
94.3
95.6
101.3
111.0
108.9
91.8
87.8
85.4
85.8
85.7
86.8
86.3
86.4
86.2

421.0
432.0
432.3
457.6
476.5
440.9
443.7
447.6
487.2
531.5
575.7
583.2
594.7
603.7
635.6
670.9
697.2
682.0
607.7
586.2
576.7
576.1
593.7
597.5
588.4
606.5
639.2

285.1
302.5
312.0
334.8
357.7
335.8
343.2
352.6
388.9
422.8
456.4
464.3
468.7
479.1
497.2
515.7
536.1
535.9
489.2
468.6
451.4
440.1
449.5
458.0
461.1
492.0
520.1

328.7
335.9
349.2
377.7
400.8
386.0
408.0
425.5
460.9
473.7
491.6
493.4
497.5
504.1
511.8
509.4
509.7
509.6
490.3
476.4
465.2
461.4
465.9
472.8
479.0
490.0
485.7

82.1
87.1
91.1
99.8
114.6
113.0
111.8
114.3
123.2
129.8
137.7
140.7
143.2
144.5
148.9
153.4
156.8
160.4
158.2
152.8
150.0
148.7
149.1
150.9
151.7
152.1
155.9

1,148.1
1,190.4
1,221.1
1,308.4
1,391.8
1,321.1
1,353.2
1,394.7
1,524.3
1,639.4
1,752.0
1,775.3
1,802.2
1,825.7
1,889.2
1,950.8
2,010.8
1,996.7
1,837.2
1,771.7
1,728.8
1,712.1
1,744.0
1,766.0
1,766.5
1,827.0
1,887.1

465.6
492.2
525.8
557.2
588.3
603.0
608.5
646.3
685.2
728.7
771.9
782.9
793.9
802.3
810.2
807.6
814.5
809.1
791.1
784.5
781.2
782.9
786.6
790.1
795.9
802.2
821.8

2.76
2.70
2.55
2.57
2.59
2.40
2.45
2.39
2.45
2.48
2.48
2.49
2.49
2.50
2.56
2.66
2.73
2.72
2.56
2.49
2.44
2.41
2.44
2.47
2.45
2.54
2.58

2.47
2.42
2.32
2.35
2.37
2.19
2.22
2.16
2.22
2.25
2.27
2.27
2.27
2.28
2.33
2.42
2.47
2.47
2.32
2.26
2.21
2.19
2.22
2.23
2.22
2.28
2.30

1 Inventories at end of quarter. Quarter-to-quarter change calculated from this table is not the current-dollar change in private inventories component of
gross domestic product (GDP). The former is the difference between two inventory stocks, each valued at its respective end-of-quarter prices. The latter is
the change in the physical volume of inventories valued at average prices of the quarter. In addition, changes calculated from this table are at quarterly rates,
whereas change in private inventories is stated at annual rates.
2 Inventories of construction, mining, and utilities establishments are included in other industries through 1995.
3 Quarterly totals at monthly rates. Final sales of domestic business equals final sales of domestic product less gross output of general government, gross
value added of nonprofit institutions, compensation paid to domestic workers, and imputed rental of owner-occupied nonfarm housing. Includes a small amount
of final sales by farm and by government enterprises.
Note: The industry classification of inventories is on an establishment basis. Estimates through 1995 are based on the Standard Industrial Classification
(SIC). Beginning with 1996, estimates are based on the North American Industry Classification System (NAICS).
Source: Department of Commerce (Bureau of Economic Analysis).

216 |

Appendix B

Table B–23. Real private inventories and domestic final sales by industry, 1962–2010
[Billions of chained (2005) dollars, except as noted; seasonally adjusted]
Private inventories 1
Quarter
Total 2
Fourth quarter:
1962 ����������������
1963 ����������������
1964 ����������������
1965 ����������������
1966 ����������������
1967 ����������������
1968 ����������������
1969 ����������������
1970 ����������������
1971 ����������������
1972 ����������������
1973 ����������������
1974 ����������������
1975 ����������������
1976 ����������������
1977 ����������������
1978 ����������������
1979 ����������������
1980 ����������������
1981 ����������������
1982 ����������������
1983 ����������������
1984 ����������������
1985 ����������������
1986 ����������������
1987 ����������������
1988 ����������������
1989 ����������������
1990 ����������������
1991 ����������������
1992 ����������������
1993 ����������������
1994 ����������������
1995 ����������������
NAICS:
1996 ����������������
1997 ����������������
1998 ����������������
1999 ����������������
2000 ����������������
2001 ����������������
2002 ����������������
2003 ����������������
2004 ����������������
2005 ����������������
2006 ����������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Farm

Mining,
utilities,
and
construction 2

Manufac- Wholesale
turing
trade

Other
industries 2

Retail
trade

Nonfarm 2

Final
sales
of
domestic
business 3

Ratio of private
inventories
to final sales of
domestic business
Total

Nonfarm

520.4
540.6
557.9
590.8
637.9
671.8
702.6
732.9
738.5
763.5
789.1
828.1
857.2
844.4
878.7
921.8
967.4
995.4
986.0
1,025.0
1,005.3
997.7
1,075.9
1,101.3
1,109.8
1,143.0
1,164.9
1,195.6
1,212.1
1,210.7
1,228.6
1,250.8
1,320.1
1,352.2

137.6
139.0
135.1
137.7
136.3
138.8
142.9
142.9
140.5
144.6
145.0
146.8
142.4
148.2
146.6
153.9
155.9
160.2
153.0
163.1
170.6
153.1
159.4
166.5
164.2
155.1
142.0
142.0
148.6
146.7
153.8
146.3
160.0
147.0

�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������
�����������������

180.9
187.8
198.2
212.2
240.6
259.6
271.5
284.1
284.0
280.6
288.3
309.6
333.0
324.6
340.1
349.6
365.6
379.7
380.1
385.2
367.9
367.5
399.4
392.4
388.3
397.6
416.2
431.8
441.6
434.2
429.0
432.9
446.3
461.7

71.6
77.5
82.2
87.8
99.5
107.7
111.5
119.7
128.7
135.5
141.6
145.4
158.9
152.1
162.2
175.3
189.3
198.7
204.0
209.8
207.2
206.3
222.8
229.2
237.7
245.4
254.9
258.5
267.2
271.5
280.3
286.5
302.7
316.2

73.0
77.0
81.1
89.3
96.6
96.6
104.8
112.1
112.2
127.4
137.3
148.4
146.2
138.8
149.5
158.1
168.7
168.6
163.8
172.8
168.9
182.7
205.0
220.8
224.3
246.1
253.9
268.8
267.2
267.7
272.5
288.3
309.4
321.9

39.4
42.1
44.7
46.6
47.9
53.5
55.1
57.9
58.6
60.7
63.7
67.0
71.4
73.3
74.0
79.6
84.4
84.3
82.9
92.3
89.4
88.3
89.7
94.8
98.3
100.8
99.3
94.8
91.2
94.8
97.7
101.2
106.1
108.6

366.5
385.5
407.3
437.8
487.9
519.5
545.9
576.8
585.5
606.1
632.8
673.3
712.3
690.9
728.5
764.2
809.1
832.8
832.4
860.6
833.3
844.0
916.3
934.7
945.1
986.2
1,021.6
1,052.4
1,066.4
1,066.8
1,077.7
1,107.6
1,163.4
1,207.7

157.0
166.3
176.4
191.6
195.7
200.6
211.5
215.8
218.4
229.6
248.7
257.4
247.8
259.6
272.4
286.7
308.2
315.4
315.1
312.8
311.6
335.2
353.5
369.9
383.8
394.3
414.7
426.9
428.2
428.0
451.1
466.9
485.5
503.4

3.31
3.25
3.16
3.08
3.26
3.35
3.32
3.40
3.38
3.33
3.17
3.22
3.46
3.25
3.23
3.21
3.14
3.16
3.13
3.28
3.23
2.98
3.04
2.98
2.89
2.90
2.81
2.80
2.83
2.83
2.72
2.68
2.72
2.69

2.33
2.32
2.31
2.29
2.49
2.59
2.58
2.67
2.68
2.64
2.54
2.62
2.87
2.66
2.67
2.67
2.63
2.64
2.64
2.75
2.67
2.52
2.59
2.53
2.46
2.50
2.46
2.47
2.49
2.49
2.39
2.37
2.40
2.40

1,383.4
1,460.8
1,532.4
1,600.9
1,661.1
1,619.4
1,632.1
1,649.5
1,715.8
1,765.8
1,825.2
1,829.5
1,840.7
1,849.8
1,852.9
1,850.9
1,845.7
1,838.9
1,815.3
1,783.8
1,743.4
1,711.3
1,702.2
1,713.2
1,730.4
1,760.8
1,762.5

155.3
159.0
160.6
156.9
155.2
155.3
152.2
152.4
160.3
160.4
156.7
158.0
156.7
156.1
155.9
154.0
155.1
155.5
156.9
157.4
158.9
158.7
160.3
162.2
164.1
165.4
166.4

47.6
50.1
59.1
57.1
54.3
65.1
61.0
68.2
69.6
73.4
90.3
91.7
93.5
91.7
90.3
88.7
87.1
84.9
80.7
81.7
82.2
81.8
77.9
75.2
76.3
75.7
75.3

465.7
490.0
507.6
523.8
531.9
505.7
500.5
492.0
498.0
519.0
536.0
537.9
543.3
546.4
551.4
558.6
552.9
547.0
539.1
531.4
521.8
513.7
512.5
517.8
517.0
524.4
529.5

298.0
324.9
348.6
369.7
390.4
376.8
376.7
376.3
396.8
415.0
428.3
428.7
430.2
434.5
432.8
433.4
438.1
440.9
434.8
421.6
402.9
388.0
385.9
389.2
397.0
411.3
414.8

335.3
349.5
364.7
390.5
411.1
400.5
424.2
441.5
465.2
469.8
480.6
478.5
480.9
484.2
484.8
476.7
471.9
469.0
459.6
449.0
436.8
430.4
428.2
431.4
437.6
444.8
436.1

87.6
93.2
99.0
106.6
119.3
119.1
118.0
119.6
126.0
128.3
132.9
134.3
135.7
136.4
137.2
138.2
139.0
140.0
142.4
140.8
138.8
137.0
135.5
135.5
136.5
137.0
137.3

1,230.9
1,304.4
1,373.9
1,444.7
1,505.9
1,464.4
1,480.0
1,497.2
1,555.6
1,605.4
1,668.6
1,671.6
1,684.2
1,693.9
1,697.3
1,697.3
1,690.9
1,683.6
1,658.3
1,626.2
1,584.0
1,552.1
1,541.4
1,550.5
1,565.8
1,594.9
1,595.6

529.2
551.4
586.2
616.4
638.7
645.1
645.5
676.7
698.6
719.8
746.3
749.2
754.6
759.9
769.3
766.3
767.9
753.0
738.2
727.8
726.6
726.6
732.2
734.7
735.1
736.0
756.0

2.61
2.65
2.61
2.60
2.60
2.51
2.53
2.44
2.46
2.45
2.45
2.44
2.44
2.43
2.41
2.42
2.40
2.44
2.46
2.45
2.40
2.36
2.32
2.33
2.35
2.39
2.33

2.33
2.37
2.34
2.34
2.36
2.27
2.29
2.21
2.23
2.23
2.24
2.23
2.23
2.23
2.21
2.21
2.20
2.24
2.25
2.23
2.18
2.14
2.11
2.11
2.13
2.17
2.11

1 Inventories at end of quarter. Quarter-to-quarter changes calculated from this table are at quarterly rates, whereas the change in private inventories
component of gross domestic product (GDP) is stated at annual rates.
2 Inventories of construction, mining, and utilities establishments are included in other industries through 1995.
3 Quarterly totals at monthly rates. Final sales of domestic business equals final sales of domestic product less gross output of general government, gross
value added of nonprofit institutions, compensation paid to domestic workers, and imputed rental of owner-occupied nonfarm housing. Includes a small amount
of final sales by farm and by government enterprises.
Note: The industry classification of inventories is on an establishment basis. Estimates through 1995 are based on the Standard Industrial Classification
(SIC). Beginning with 1996, estimates are based on the North American Industry Classification System (NAICS).
See Survey of Current Business, Tables 5.7.6A and 5.7.6B, for detailed information on calculation of the chained (2005) dollar inventory series.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 217

Table B–24. Foreign transactions in the national income and product accounts, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Current receipts from rest of the world

Current payments to rest of the world

Exports of goods
and services
Year or quarter

Total
Total

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

35.0
37.6
42.3
45.0
49.0
52.1
58.0
63.7
72.5
77.0
87.1
118.8
156.5
166.7
181.9
196.6
233.1
298.5
359.9
397.3
384.2
378.9
424.2
414.5
431.3
486.6
595.5
680.3
740.6
764.7
786.8
810.8
904.8
1,041.1
1,113.5
1,233.9
1,240.1
1,308.8
1,473.7
1,350.8
1,316.5
1,394.4
1,628.8
1,878.1
2,192.1
2,532.7
2,682.6
2,208.2
�����������
2,373.2
2,481.7
2,595.9
2,679.9
2,709.9
2,806.3
2,783.1
2,430.9
2,136.8
2,131.9
2,209.5
2,354.6
2,451.5
2,514.0
2,552.8
�����������

29.1
31.1
35.0
37.1
40.9
43.5
47.9
51.9
59.7
63.0
70.8
95.3
126.7
138.7
149.5
159.4
186.9
230.1
280.8
305.2
283.2
277.0
302.4
302.0
320.3
363.8
443.9
503.1
552.1
596.6
635.0
655.6
720.7
811.9
867.7
954.4
953.9
989.3
1,093.2
1,027.7
1,003.0
1,041.0
1,180.2
1,305.1
1,471.0
1,661.7
1,843.4
1,578.4
1,837.1
1,575.5
1,619.1
1,690.3
1,761.8
1,819.9
1,925.3
1,927.3
1,700.9
1,521.2
1,520.2
1,582.1
1,689.9
1,757.8
1,817.9
1,848.9
1,923.9

ServGoods 1 ices
1

21.7
23.3
26.7
27.8
30.7
32.2
35.3
38.3
44.5
45.6
51.8
73.9
101.0
109.6
117.8
123.7
145.4
184.0
225.8
239.1
215.0
207.3
225.6
222.2
226.0
257.5
325.8
369.4
396.6
423.6
448.0
459.9
510.1
583.3
618.3
687.7
680.9
697.2
784.3
731.2
700.3
726.8
817.0
906.1
1,024.4
1,162.0
1,295.1
1,063.1
1,276.4
1,105.4
1,138.3
1,179.3
1,225.1
1,279.4
1,364.9
1,367.6
1,168.3
1,014.5
1,011.7
1,068.6
1,157.6
1,213.0
1,262.8
1,282.0
1,347.7

Imports of goods
and services
Income
receipts

Total
Total

ServGoods 1 ices
1

7.4
5.9
31.2
25.0
16.9
7.7
6.5
32.7
26.1
17.7
8.3
7.2
34.8
28.1
19.4
9.4
7.9
38.9
31.5
22.2
10.2
8.1
45.2
37.1
26.3
11.3
8.7
48.7
39.9
27.8
12.6
10.1
56.5
46.6
33.9
13.7
11.8
62.1
50.5
36.8
15.2
12.8
68.8
55.8
40.9
17.4
14.0
76.7
62.3
46.6
19.0
16.3
91.2
74.2
56.9
21.3
23.5 109.9
91.2
71.8
25.7
29.8 150.5 127.5 104.5
29.1
28.0 146.9 122.7
99.0
31.7
32.4 174.8 151.1 124.6
35.7
37.2 207.5 182.4 152.6
41.5
46.3 245.8 212.3 177.4
46.1
68.3 299.6 252.7 212.8
55.0
79.1 351.4 293.8 248.6
66.1
92.0 393.9 317.8 267.8
68.2 101.0 387.5 303.2 250.5
69.7 101.9 413.9 328.6 272.7
76.7 121.9 514.3 405.1 336.3
79.8 112.4 528.8 417.2 343.3
94.3 111.0 574.0 452.9 370.0
106.2 122.8 640.7 508.7 414.8
118.1 151.6 711.2 554.0 452.1
133.8 177.2 772.7 591.0 484.8
155.5 188.5 815.6 629.7 508.1
173.0 168.1 756.9 623.5 500.7
187.0 151.8 832.4 667.8 544.9
195.7 155.2 889.4 720.0 592.8
210.6 184.1 1,019.5 813.4 676.8
228.6 229.3 1,146.2 902.6 757.4
249.3 245.8 1,227.6 964.0 807.4
266.7 279.5 1,363.3 1,055.8 885.7
273.0 286.2 1,444.6 1,115.7 930.8
292.1 319.5 1,600.7 1,251.4 1,047.7
308.9 380.5 1,884.1 1,475.3 1,246.5
296.5 323.0 1,742.4 1,398.7 1,171.7
302.7 313.5 1,768.1 1,430.2 1,193.9
314.2 353.3 1,910.5 1,545.1 1,289.3
363.2 448.6 2,253.4 1,798.9 1,501.7
399.0 573.0 2,618.6 2,027.8 1,708.0
446.6 721.1 2,990.5 2,240.3 1,884.9
499.7 871.0 3,249.6 2,375.7 2,001.6
548.3 839.2 3,353.0 2,553.8 2,148.8
515.3 629.8 2,587.9 1,964.7 1,587.8
560.7 ����������� ����������� 2,352.6 1,948.0
470.2 797.6 3,167.3 2,300.6 1,939.0
480.8 862.6 3,249.5 2,349.8 1,978.9
511.0 905.6 3,278.9 2,394.7 2,013.7
536.7 918.0 3,302.5 2,457.5 2,074.9
540.5 890.0 3,398.4 2,558.4 2,161.1
560.4 881.0 3,518.1 2,677.2 2,273.4
559.6 855.8 3,473.8 2,690.4 2,276.9
532.6 730.0 3,021.6 2,289.3 1,883.8
506.7 615.6 2,521.6 1,896.9 1,519.9
508.5 611.7 2,475.1 1,855.3 1,485.7
513.6 627.4 2,599.6 1,990.5 1,613.8
532.3 664.7 2,755.2 2,116.3 1,731.8
544.8 693.7 2,896.5 2,237.6 1,843.5
555.1 696.1 3,006.4 2,357.1 1,957.2
566.9 704.0 3,066.8 2,399.4 1,988.2
576.1 ����������� ����������� 2,416.0 2,002.9

Income
payments

8.1
1.8
8.4
2.1
8.7
2.3
9.3
2.6
10.7
3.0
12.2
3.3
12.6
4.0
13.7
5.7
14.9
6.4
15.8
6.4
17.3
7.7
19.3
10.9
22.9
14.3
23.7
15.0
26.5
15.5
29.8
16.9
34.8
24.7
39.9
36.4
45.3
44.9
49.9
59.1
52.6
64.5
56.0
64.8
68.8
85.6
73.9
85.9
82.9
93.4
93.9 105.2
101.9 128.3
106.2 151.2
121.7 154.1
122.8 138.2
122.9 122.7
127.2 124.0
136.6 160.0
145.1 199.6
156.5 214.2
170.1 256.1
184.9 268.9
203.7 291.7
228.8 342.8
227.0 271.1
236.3 264.4
255.9 284.6
297.3 357.4
319.8 475.9
355.4 648.6
374.0 747.7
405.0 664.7
376.9 483.6
404.6 �����������
361.6 727.4
370.9 783.1
381.0 760.8
382.6 719.4
397.3 697.6
403.7 705.5
413.5 651.5
405.5 604.0
377.0 493.1
369.7 482.0
376.6 460.1
384.5 499.1
394.1 502.6
400.0 500.8
411.2 515.5
413.1 �����������

Current taxes and
transfer payments
to rest of the world (net)

Total

4.4
4.5
4.4
4.7
5.1
5.5
5.9
5.9
6.6
7.9
9.2
7.9
8.7
9.1
8.1
8.1
8.8
10.6
12.6
17.0
19.8
20.5
23.6
25.7
27.8
26.8
29.0
30.4
31.7
–4.9
41.9
45.4
46.1
44.1
49.5
51.4
60.0
57.6
66.1
72.6
73.5
80.7
97.1
115.0
101.5
126.2
134.5
139.5
158.2
139.4
116.6
123.3
125.6
142.4
135.4
131.9
128.3
131.6
137.8
149.0
139.7
156.3
148.5
151.9
155.4

From
persons
(net)
0.6
.7
.7
.8
.8
1.0
1.0
1.1
1.3
1.4
1.4
1.6
1.4
1.3
1.4
1.4
1.6
1.7
2.0
5.6
6.7
7.0
7.9
8.3
9.1
10.0
10.8
11.6
12.2
14.1
14.5
17.1
18.9
20.3
22.6
25.7
29.7
32.2
34.6
38.1
40.6
41.2
43.6
48.4
51.6
59.3
64.6
66.5
71.7
57.6
58.6
60.0
61.2
63.2
66.9
67.3
61.1
65.4
64.6
66.3
69.5
70.7
72.2
71.1
72.8

From
government
(net)
3.7
3.7
3.5
3.8
4.1
4.2
4.6
4.5
4.9
6.1
7.4
5.6
6.4
7.1
5.7
5.3
5.9
6.8
8.3
8.3
9.7
10.1
12.2
14.4
15.4
13.4
13.7
14.2
14.7
–24.0
22.0
22.9
21.1
15.6
20.0
16.7
17.4
18.0
20.0
16.2
21.6
25.8
27.2
35.3
28.8
36.1
38.4
50.2
62.0
45.4
25.1
31.9
41.9
43.5
39.1
35.9
35.0
39.9
54.5
61.1
45.3
60.6
51.9
56.3
58.4

From
business
(net)

Balance
on
current
account,
NIPA 2

0.1
3.8
.1
4.9
.2
7.5
.2
6.2
.2
3.8
.2
3.5
.3
1.5
.3
1.6
.4
3.7
.4
.3
.5
–4.0
.7
8.9
1.0
6.0
.7
19.8
1.1
7.1
1.4
–10.9
1.4
–12.6
2.0
–1.2
2.4
8.5
3.2
3.4
3.4
–3.3
3.4
–35.1
3.5
–90.1
2.9 –114.3
3.2 –142.7
3.4 –154.1
4.5 –115.7
4.6
–92.4
4.8
–74.9
5.0
7.9
5.4
–45.6
5.4
–78.6
6.0 –114.7
8.2 –105.1
6.9 –114.1
9.1 –129.3
13.0 –204.5
7.4 –291.9
11.4 –410.4
18.3 –391.6
11.3 –451.6
13.7 –516.1
26.3 –624.6
31.3 –740.5
21.1 –798.4
30.8 –716.9
31.5 –670.4
22.9 –379.7
24.5 �������������
36.4 –794.2
32.8 –767.8
31.5 –683.0
22.6 –622.7
35.7 –688.5
29.4 –711.8
28.7 –690.7
32.3 –590.7
26.2 –384.8
18.7 –343.3
21.7 –390.1
24.9 –400.6
25.0 –445.0
24.4 –492.5
24.5 –514.0
24.1 �������������

1 Certain goods, primarily military equipment purchased and sold by the Federal Government, are included in services. Beginning with 1986, repairs and
alterations of equipment were reclassified from goods to services.
2 National income and product accounts (NIPA).
Source: Department of Commerce (Bureau of Economic Analysis).

218 |

Appendix B

Table B–25. Real exports and imports of goods and services, 1995–2010
[Billions of chained (2005) dollars; quarterly data at seasonally adjusted annual rates]

Year or quarter

1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Total

845.7
916.0
1,025.1
1,048.5
1,094.3
1,188.3
1,121.6
1,099.2
1,116.8
1,222.8
1,305.1
1,422.0
1,554.4
1,647.7
1,490.7
1,665.4
1,496.4
1,521.3
1,578.0
1,622.0
1,644.7
1,696.6
1,675.0
1,574.5
1,451.6
1,447.8
1,490.0
1,573.5
1,616.4
1,652.1
1,679.3
1,713.9

Exports of goods and services

Imports of goods and services

Goods 1

Goods 1

Total
575.4
626.2
716.2
732.2
760.0
844.3
792.0
763.5
777.2
842.9
906.1
991.4
1,088.1
1,156.6
1,018.2
1,166.8
1,050.5
1,070.0
1,102.7
1,129.1
1,155.3
1,195.1
1,181.9
1,094.1
985.8
976.4
1,019.1
1,091.7
1,128.0
1,159.2
1,175.8
1,204.1

Durable
goods
363.6
405.4
478.7
494.2
517.8
584.6
535.9
505.6
514.5
571.0
624.9
691.9
756.1
796.0
660.2
773.8
727.7
744.2
767.3
785.3
795.4
828.0
820.4
740.2
645.6
627.0
659.4
708.9
735.4
775.4
787.2
797.2

Nondurable
goods
216.2
223.4
237.9
237.6
240.8
256.5
255.2
259.1
263.8
272.2
281.2
299.6
331.9
359.3
350.9
386.8
322.7
325.8
335.4
343.7
358.6
367.0
361.7
350.1
334.2
342.1
352.4
375.0
385.0
378.7
383.4
400.0

Services 1

272.6
291.7
308.9
316.4
334.6
343.5
329.3
335.6
339.6
380.0
399.0
430.6
466.3
491.1
472.0
499.3
445.9
451.3
475.3
492.9
489.4
501.5
493.1
480.5
465.0
470.4
470.5
482.0
488.9
493.6
504.2
510.5

Total

944.5
1,026.7
1,165.0
1,301.1
1,450.9
1,639.9
1,593.8
1,648.0
1,720.7
1,910.8
2,027.8
2,151.2
2,209.3
2,151.7
1,853.8
2,086.6
2,192.7
2,217.5
2,244.6
2,182.4
2,174.6
2,190.4
2,189.8
2,052.2
1,840.8
1,789.9
1,880.8
1,903.6
1,954.8
2,101.1
2,184.3
2,106.1

Total
766.1
837.9
958.7
1,072.3
1,206.0
1,367.9
1,324.2
1,373.4
1,440.9
1,599.7
1,708.0
1,808.8
1,862.2
1,796.6
1,513.5
1,735.2
1,848.9
1,870.5
1,893.9
1,835.4
1,820.1
1,840.9
1,836.1
1,689.3
1,493.3
1,452.0
1,542.7
1,566.1
1,611.0
1,753.9
1,825.5
1,750.4

Durable
goods
422.9
468.1
545.4
617.2
707.1
814.8
764.5
796.5
830.6
945.0
1,025.4
1,115.3
1,141.0
1,096.8
870.6
1,067.1
1,139.0
1,138.1
1,151.7
1,135.3
1,136.7
1,146.3
1,110.8
993.4
844.4
818.3
879.3
940.2
982.3
1,074.5
1,108.2
1,103.4

Nondurable
goods

Services 1

360.0
384.1
424.1
462.9
500.2
549.2
564.2
580.2
615.2
655.8
682.6
694.5
721.6
699.4
633.7
667.4
710.2
731.7
741.7
702.7
689.3
700.1
721.8
686.6
638.0
623.2
652.8
620.7
626.3
677.8
714.1
651.2

180.9
190.3
206.9
229.4
244.9
271.7
269.6
274.5
279.8
311.0
319.8
342.4
347.1
355.5
340.5
352.4
343.8
346.9
350.6
347.1
355.0
349.6
353.8
363.7
347.4
337.5
338.7
338.3
344.6
348.3
360.1
356.7

1 Certain goods, primarily military equipment purchased and sold by the Federal Government, are included in services. Beginning with 1986, repairs and
alterations of equipment were reclassified from goods to services.
Note: See Table B–2 for data for total exports of goods and services and total imports of goods and services for 1962–94.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 219

Table B–26. Relation of gross domestic product, gross national product, net national
product, and national income, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Gross
domestic
product

Plus:
Income
receipts
from rest
of the
world

Less:
Income
payments
to rest
of the
world

Equals:
Gross
national
product

585.7
5.9
1.8
589.7
617.8
6.5
2.1
622.2
663.6
7.2
2.3
668.6
719.1
7.9
2.6
724.4
787.7
8.1
3.0
792.8
832.4
8.7
3.3
837.8
909.8
10.1
4.0
915.9
984.4
11.8
5.7
990.5
1,038.3
12.8
6.4
1,044.7
1,126.8
14.0
6.4
1,134.4
1,237.9
16.3
7.7
1,246.4
1,382.3
23.5
10.9
1,394.9
1,499.5
29.8
14.3
1,515.0
1,637.7
28.0
15.0
1,650.7
1,824.6
32.4
15.5
1,841.4
2,030.1
37.2
16.9
2,050.4
2,293.8
46.3
24.7
2,315.3
2,562.2
68.3
36.4
2,594.2
2,788.1
79.1
44.9
2,822.3
3,126.8
92.0
59.1
3,159.8
3,253.2
101.0
64.5
3,289.7
3,534.6
101.9
64.8
3,571.7
3,930.9
121.9
85.6
3,967.2
4,217.5
112.4
85.9
4,244.0
4,460.1
111.0
93.4
4,477.7
4,736.4
122.8
105.2
4,754.0
5,100.4
151.6
128.3
5,123.8
5,482.1
177.2
151.2
5,508.1
5,800.5
188.5
154.1
5,835.0
5,992.1
168.1
138.2
6,022.0
6,342.3
151.8
122.7
6,371.4
6,667.4
155.2
124.0
6,698.5
7,085.2
184.1
160.0
7,109.2
7,414.7
229.3
199.6
7,444.3
7,838.5
245.8
214.2
7,870.1
8,332.4
279.5
256.1
8,355.8
8,793.5
286.2
268.9
8,810.8
9,353.5
319.5
291.7
9,381.3
9,951.5
380.5
342.8
9,989.2
10,286.2
323.0
271.1
10,338.1
10,642.3
313.5
264.4
10,691.4
11,142.1
353.3
284.6
11,210.8
11,867.8
448.6
357.4
11,959.0
12,638.4
573.0
475.9
12,735.5
13,398.9
721.1
648.6
13,471.3
14,061.8
871.0
747.7
14,185.1
14,369.1
839.2
664.7
14,543.6
14,119.0
629.8
483.6
14,265.3
14,660.2 ������������������� ������������������� �������������������
13,789.5
797.6
727.4
13,859.8
14,008.2
862.6
783.1
14,087.6
14,158.2
905.6
760.8
14,302.9
14,291.3
918.0
719.4
14,489.9
14,328.4
890.0
697.6
14,520.7
14,471.8
881.0
705.5
14,647.3
14,484.9
855.8
651.5
14,689.2
14,191.2
730.0
604.0
14,317.2
14,049.7
615.6
493.1
14,172.2
14,034.5
611.7
482.0
14,164.2
14,114.7
627.4
460.1
14,281.9
14,277.3
664.7
499.1
14,442.8
14,446.4
693.7
502.6
14,637.6
14,578.7
696.1
500.8
14,774.0
14,745.1
704.0
515.5
14,933.6
14,870.4 ������������������� ������������������� �������������������

Source: Department of Commerce (Bureau of Economic Analysis).

220 |

Appendix B

Less: Consumption of fixed capital
Total
60.6
63.3
66.4
70.7
76.5
82.9
90.4
99.2
108.3
117.8
127.2
140.8
163.7
190.4
208.2
231.8
261.4
298.9
344.1
393.3
433.5
451.1
474.3
505.4
538.5
571.1
611.0
651.5
691.2
724.4
744.4
778.0
819.2
869.5
912.5
963.8
1,020.5
1,094.4
1,184.3
1,256.2
1,305.0
1,354.1
1,432.8
1,541.4
1,660.7
1,767.5
1,849.2
1,861.1
1,868.7
1,733.9
1,757.6
1,778.2
1,800.3
1,814.8
1,838.4
1,864.0
1,879.6
1,881.6
1,862.3
1,848.3
1,852.2
1,852.4
1,860.4
1,871.9
1,890.0

Private
44.1
45.9
48.3
51.9
56.5
61.6
67.4
74.5
81.7
89.5
97.7
109.5
127.8
150.4
165.5
186.1
212.0
244.5
282.3
323.2
356.4
369.5
387.5
412.8
439.1
464.5
497.1
529.6
560.4
585.4
599.9
626.4
661.0
704.6
743.4
789.7
841.6
907.2
986.8
1,051.6
1,094.0
1,135.9
1,200.9
1,290.8
1,391.4
1,476.2
1,536.9
1,535.8
1,533.8
1,449.6
1,468.6
1,484.8
1,501.8
1,511.2
1,529.2
1,548.8
1,558.3
1,557.2
1,537.5
1,523.1
1,525.5
1,522.8
1,527.4
1,535.5
1,549.7

Government

Equals:
Net
national
product

Less:
Statistical
discrepancy

Equals:
National
income

16.5
529.2
0.3
528.9
17.5
558.9
–.8
559.7
18.1
602.2
.8
601.4
18.9
653.7
1.5
652.2
20.0
716.3
6.2
710.1
21.4
754.9
4.5
750.4
23.0
825.5
4.3
821.2
24.7
891.4
2.9
888.5
26.6
936.4
6.9
929.5
28.2
1,016.6
11.0
1,005.6
29.4
1,119.3
8.9
1,110.3
31.3
1,254.1
8.0
1,246.1
35.9
1,351.3
9.8
1,341.5
39.9
1,460.3
16.3
1,444.0
42.6
1,633.3
23.5
1,609.8
45.6
1,818.6
21.2
1,797.4
49.5
2,053.9
26.1
2,027.9
54.4
2,295.3
47.0
2,248.3
61.8
2,478.2
45.3
2,433.0
70.1
2,766.4
36.6
2,729.8
77.1
2,856.2
4.8
2,851.4
81.6
3,120.6
49.7
3,070.9
86.9
3,492.8
31.5
3,461.3
92.7
3,738.6
42.3
3,696.3
99.4
3,939.2
67.7
3,871.5
106.6
4,182.9
32.9
4,150.0
113.9
4,512.8
–9.5
4,522.3
121.8
4,856.6
56.1
4,800.5
130.8
5,143.7
84.2
5,059.5
138.9
5,297.6
79.7
5,217.9
144.5
5,627.1
110.0
5,517.1
151.6
5,920.5
135.8
5,784.7
158.2
6,290.1
108.8
6,181.3
164.8
6,574.9
52.5
6,522.3
169.2
6,957.6
25.9
6,931.7
174.1
7,392.0
–14.0
7,406.0
179.0
7,790.3
–85.3
7,875.6
187.2
8,286.9
–71.1
8,358.0
197.5
8,804.9
–134.0
8,938.9
204.6
9,081.9
–103.4
9,185.2
210.9
9,386.4
–22.1
9,408.5
218.1
9,856.8
16.6
9,840.2
231.9
10,526.2
–7.8
10,534.0
250.6
11,194.2
–79.7
11,273.8
269.3
11,810.7
–220.6
12,031.2
291.3
12,417.6
21.1
12,396.4
312.3
12,694.4
136.6
12,557.8
325.3
12,404.2
179.1
12,225.0
334.8 ������������������� ������������������� ��������������������
284.3
12,125.9
–135.6
12,261.4
289.0
12,330.0
–30.9
12,360.9
293.4
12,524.7
117.6
12,407.1
298.5
12,689.7
133.4
12,556.3
303.6
12,705.9
77.9
12,628.0
309.2
12,808.9
189.0
12,619.9
315.2
12,825.2
138.7
12,686.4
321.3
12,437.6
140.7
12,296.9
324.3
12,290.7
140.4
12,150.3
324.9
12,301.8
172.2
12,129.7
325.1
12,433.6
228.9
12,204.8
326.8
12,590.6
175.2
12,415.5
329.6
12,785.2
164.2
12,621.0
333.0
12,913.7
131.1
12,782.6
336.4
13,061.7
184.1
12,877.5
340.3 ������������������� ������������������� ��������������������

Table B–27. Relation of national income and personal income, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Less:

Year or quarter

Plus:

Corporate
profits
ContribuNet
Taxes
with
tions
interest Business
on
National inventory
for
and
current
income valuation production governmisceland
transfer
and capital imports
ment
laneous payments
consocial
payments
less
(net)
sumption subsidies
insurance,
on
adjustdomestic
assets
ments

1962 ������������������������
528.9
62.3
1963 ������������������������
559.7
68.3
1964 ������������������������
601.4
75.5
1965 ������������������������
652.2
86.5
1966 ������������������������
710.1
92.5
1967 ������������������������
750.4
90.2
1968 ������������������������
821.2
97.3
1969 ������������������������
888.5
94.5
1970 ������������������������
929.5
82.5
1971 ������������������������ 1,005.6
96.1
1972 ������������������������ 1,110.3
111.4
1973 ������������������������ 1,246.1
124.5
1974 ������������������������ 1,341.5
115.1
1975 ������������������������ 1,444.0
133.3
1976 ������������������������ 1,609.8
161.6
1977 ������������������������ 1,797.4
191.8
1978 ������������������������ 2,027.9
218.4
1979 ������������������������ 2,248.3
225.4
1980 ������������������������ 2,433.0
201.4
1981 ������������������������ 2,729.8
223.3
1982 ������������������������ 2,851.4
205.7
1983 ������������������������ 3,070.9
259.8
1984 ������������������������ 3,461.3
318.6
1985 ������������������������ 3,696.3
332.5
1986 ������������������������ 3,871.5
314.1
1987 ������������������������ 4,150.0
367.8
1988 ������������������������ 4,522.3
426.6
1989 ������������������������ 4,800.5
425.6
1990 ������������������������ 5,059.5
434.4
1991 ������������������������ 5,217.9
457.3
1992 ������������������������ 5,517.1
496.2
1993 ������������������������ 5,784.7
543.7
1994 ������������������������ 6,181.3
628.2
1995 ������������������������ 6,522.3
716.2
1996 ������������������������ 6,931.7
801.5
1997 ������������������������ 7,406.0
884.8
1998 ������������������������ 7,875.6
812.4
1999 ������������������������ 8,358.0
856.3
2000 ������������������������ 8,938.9
819.2
2001 ������������������������ 9,185.2
784.2
2002 ������������������������ 9,408.5
872.2
2003 ������������������������ 9,840.2
977.8
2004 ������������������������ 10,534.0
1,246.9
2005 ������������������������ 11,273.8
1,456.1
2006 ������������������������ 12,031.2
1,608.3
2007 ������������������������ 12,396.4
1,510.6
2008 ������������������������ 12,557.8
1,262.8
2009 ������������������������ 12,225.0
1,258.0
2010 p ���������������������� ��������������� �����������������
2007: I �������������������� 12,261.4
1,515.5
      II ������������������� 12,360.9
1,565.3
      III ������������������ 12,407.1
1,501.0
      IV ������������������ 12,556.3
1,460.8
2008: I �������������������� 12,628.0
1,376.3
      II ������������������� 12,619.9
1,329.0
      III ������������������ 12,686.4
1,350.8
      IV ������������������ 12,296.9
995.0
2009: I �������������������� 12,150.3
1,138.2
      II ������������������� 12,129.7
1,178.0
      III ������������������ 12,204.8
1,297.5
      IV ������������������ 12,415.5
1,418.2
2010: I �������������������� 12,621.0
1,566.6
      II ������������������� 12,782.6
1,614.1
      III ������������������ 12,877.5
1,640.1
      IV p ��������������� ��������������� �����������������

48.1
51.2
54.5
57.7
59.3
64.1
72.2
79.3
86.6
95.8
101.3
112.0
121.6
130.8
141.3
152.6
162.0
171.6
190.5
224.2
225.9
242.0
268.7
286.8
298.5
317.3
345.0
371.4
398.0
429.6
453.3
466.4
512.7
523.1
545.5
577.8
603.1
628.4
662.7
669.0
721.4
757.7
817.0
869.3
935.5
972.6
992.3
964.4
999.9
964.7
965.8
975.1
984.9
990.0
1,000.1
1,000.1
979.1
959.9
961.6
959.2
976.8
988.5
996.1
1,002.2
1,012.7

19.1
21.7
22.4
23.4
31.3
34.9
38.7
44.1
46.4
51.2
59.2
75.5
85.2
89.3
101.3
113.1
131.3
152.7
166.2
195.7
208.9
226.0
257.5
281.4
303.4
323.1
361.5
385.2
410.1
430.2
455.0
477.4
508.2
532.8
555.1
587.2
624.7
661.3
705.8
733.2
751.5
778.9
827.3
872.7
921.8
959.5
987.2
970.3
1,004.3
953.4
954.2
958.7
971.6
988.3
987.7
989.5
983.4
964.2
971.6
970.6
974.8
987.8
1,001.9
1,009.8
1,017.7

14.2
15.2
17.4
19.6
22.4
25.5
27.1
32.7
39.1
43.9
47.9
55.2
70.8
81.6
85.5
101.1
115.0
138.9
181.8
232.3
271.1
285.3
327.1
341.5
367.1
366.7
385.3
434.1
444.2
418.2
387.7
364.6
362.2
358.3
371.1
407.6
479.3
481.4
539.3
544.4
506.4
504.1
461.6
543.0
652.2
731.6
812.8
784.3
737.6
703.9
693.7
743.3
785.6
787.4
794.3
804.7
864.9
847.4
773.4
750.7
765.6
765.9
736.2
719.6
728.8

2.2
2.7
3.1
3.6
3.5
3.8
4.3
4.9
4.5
4.3
4.9
6.0
7.1
9.4
9.5
8.5
10.8
13.3
14.7
17.9
20.6
22.6
30.3
35.2
36.9
34.1
33.6
39.2
40.1
39.9
40.7
40.5
41.9
45.8
53.8
51.3
65.2
69.0
87.0
101.3
82.4
76.1
81.7
95.9
83.0
103.3
121.7
134.0
131.8
105.6
102.9
104.4
100.4
118.4
114.0
115.7
138.8
139.7
141.8
124.9
129.8
130.5
130.8
133.4
132.5

Current
surplus
of
government
enterprises
0.9
1.4
1.3
1.3
1.0
.9
1.2
1.0
.0
–.2
.5
–.4
–.9
–3.2
–1.8
–2.7
–2.2
–2.9
–5.1
–5.6
–4.5
–3.2
–1.9
.6
.9
.2
2.6
4.9
1.6
5.7
8.2
8.7
9.6
13.1
14.4
14.1
13.3
14.1
9.1
4.0
6.3
7.0
1.2
–3.5
–4.2
–11.8
–16.7
–13.2
–13.6
–10.1
–11.0
–11.2
–14.8
–16.0
–17.0
–16.5
–17.3
–15.8
–14.2
–11.7
–11.3
–12.1
–13.1
–14.2
–14.9

Wage
accruals
less
disbursements

0.0
.0
.0
.0
.0
.0
.0
.0
.0
.6
.0
–.1
–.5
.1
.1
.1
.3
–.2
.0
.1
.0
–.4
.2
–.2
.0
.0
.0
.0
.1
–.1
–15.8
6.4
17.6
16.4
3.6
–2.9
–.7
5.2
.0
.0
.0
15.0
–15.0
5.0
1.3
–6.3
–5.0
5.0
.0
–25.0
.0
.0
.0
.0
.0
.0
–20.0
20.0
.0
.0
.0
.0
.0
.0
.0

Personal
income
receipts
on
assets

44.1
47.9
53.8
59.4
64.1
69.0
75.2
84.1
93.5
101.0
109.6
124.7
146.4
162.2
178.4
205.3
234.8
274.7
338.7
421.9
488.4
529.6
607.9
653.2
694.5
715.8
767.0
874.8
920.8
928.6
909.7
900.5
947.7
1,005.4
1,080.7
1,165.5
1,269.2
1,246.8
1,360.7
1,346.0
1,309.6
1,312.9
1,408.5
1,542.0
1,829.7
2,057.0
2,109.3
1,919.7
1,906.4
1,959.2
2,050.4
2,098.7
2,119.8
2,123.6
2,114.7
2,129.8
2,069.1
1,972.7
1,925.9
1,891.1
1,889.2
1,911.1
1,914.4
1,889.7
1,910.5

Equals:

Personal
current
transfer
receipts

30.4
32.2
33.5
36.2
39.6
48.0
56.1
62.3
74.7
88.1
97.9
112.6
133.3
170.0
184.0
194.2
209.6
235.3
279.5
318.4
354.8
383.7
400.1
424.9
451.0
467.6
496.5
542.6
594.9
665.9
745.8
790.8
826.4
878.9
924.1
949.2
977.9
1,021.6
1,083.0
1,188.1
1,282.1
1,341.7
1,415.5
1,508.6
1,605.0
1,718.5
1,879.2
2,132.8
2,295.2
1,701.6
1,698.6
1,719.8
1,753.8
1,793.2
1,934.4
1,875.2
1,914.2
2,023.7
2,160.2
2,159.3
2,188.2
2,245.5
2,286.1
2,316.4
2,333.0

Personal
income

456.4
479.5
514.3
555.5
603.8
648.1
711.7
778.3
838.6
903.1
992.6
1,110.5
1,222.7
1,334.9
1,474.7
1,632.5
1,836.7
2,059.5
2,301.5
2,582.3
2,766.8
2,952.2
3,268.9
3,496.7
3,696.0
3,924.4
4,231.2
4,557.5
4,846.7
5,031.5
5,347.3
5,568.1
5,874.8
6,200.9
6,591.6
7,000.7
7,525.4
7,910.8
8,559.4
8,883.3
9,060.1
9,378.1
9,937.2
10,485.9
11,268.1
11,912.3
12,391.1
12,174.9
12,545.3
11,714.3
11,839.0
11,954.4
12,141.4
12,300.4
12,460.9
12,447.0
12,356.3
12,093.2
12,203.4
12,164.0
12,239.0
12,350.3
12,517.1
12,592.8
12,721.1

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 221

Table B–28. National income by type of income, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Proprietors’ income with
inventory valuation and capital
consumption adjustments

Compensation of employees
Wage and salary accruals
Year or quarter

National
income
Total
Total

1962 ����������������������
528.9
1963 ����������������������
559.7
1964 ����������������������
601.4
1965 ����������������������
652.2
1966 ����������������������
710.1
1967 ����������������������
750.4
1968 ����������������������
821.2
1969 ����������������������
888.5
1970 ����������������������
929.5
1971 ����������������������
1,005.6
1972 ����������������������
1,110.3
1973 ����������������������
1,246.1
1974 ����������������������
1,341.5
1975 ����������������������
1,444.0
1976 ����������������������
1,609.8
1977 ����������������������
1,797.4
1978 ����������������������
2,027.9
1979 ����������������������
2,248.3
1980 ����������������������
2,433.0
1981 ����������������������
2,729.8
1982 ����������������������
2,851.4
1983 ����������������������
3,070.9
1984 ����������������������
3,461.3
1985 ����������������������
3,696.3
1986 ����������������������
3,871.5
1987 ����������������������
4,150.0
1988 ����������������������
4,522.3
1989 ����������������������
4,800.5
1990 ����������������������
5,059.5
1991 ����������������������
5,217.9
1992 ����������������������
5,517.1
1993 ����������������������
5,784.7
1994 ����������������������
6,181.3
1995 ����������������������
6,522.3
1996 ����������������������
6,931.7
1997 ����������������������
7,406.0
1998 ����������������������
7,875.6
1999 ����������������������
8,358.0
2000 ����������������������
8,938.9
2001 ����������������������
9,185.2
2002 ����������������������
9,408.5
2003 ����������������������
9,840.2
2004 ���������������������� 10,534.0
2005 ���������������������� 11,273.8
2006 ���������������������� 12,031.2
2007 ���������������������� 12,396.4
2008 ���������������������� 12,557.8
2009 ���������������������� 12,225.0
2010 p �������������������� ���������������
2007: I ������������������ 12,261.4
      II ����������������� 12,360.9
      III ���������������� 12,407.1
      IV ���������������� 12,556.3
2008: I ������������������ 12,628.0
      II ����������������� 12,619.9
      III ���������������� 12,686.4
      IV ���������������� 12,296.9
2009: I ������������������ 12,150.3
      II ����������������� 12,129.7
      III ���������������� 12,204.8
      IV ���������������� 12,415.5
2010: I ������������������ 12,621.0
      II ����������������� 12,782.6
      III ���������������� 12,877.5
      IV p ������������� ���������������

327.1
345.2
370.7
399.5
442.7
475.1
524.3
577.6
617.2
658.9
725.1
811.2
890.2
949.1
1,059.3
1,180.5
1,335.5
1,498.3
1,647.6
1,819.7
1,919.6
2,035.5
2,245.4
2,411.7
2,557.7
2,735.6
2,954.2
3,131.3
3,326.3
3,438.3
3,631.4
3,797.1
3,998.5
4,195.2
4,391.4
4,665.6
5,023.2
5,353.9
5,788.8
5,979.3
6,110.8
6,382.6
6,693.4
7,065.0
7,477.0
7,855.9
8,060.8
7,811.7
7,990.8
7,756.4
7,814.4
7,868.5
7,984.3
8,082.2
8,077.3
8,082.9
8,000.7
7,797.7
7,819.0
7,798.7
7,831.4
7,858.1
7,969.9
8,033.0
8,102.1

See next page for continuation of table.

222 |

Supplements to
wages and salaries

Appendix B

299.4
314.9
337.8
363.8
400.3
429.0
472.0
518.3
551.6
584.5
638.8
708.8
772.3
814.8
899.7
994.2
1,120.6
1,253.3
1,373.4
1,511.4
1,587.5
1,677.5
1,844.9
1,982.6
2,102.3
2,256.3
2,439.8
2,583.1
2,741.2
2,814.5
2,957.8
3,083.0
3,248.5
3,434.4
3,620.0
3,873.6
4,180.9
4,465.2
4,827.7
4,952.2
4,997.3
5,154.6
5,410.7
5,706.0
6,070.1
6,415.5
6,554.0
6,279.1
6,404.7
6,328.1
6,382.8
6,427.6
6,523.4
6,595.9
6,575.1
6,567.9
6,477.3
6,280.0
6,287.7
6,263.9
6,284.9
6,291.4
6,388.8
6,440.8
6,497.9

Government

56.3
60.0
64.9
69.9
78.4
86.5
96.7
105.6
117.2
126.8
137.9
148.8
160.5
176.2
188.9
202.6
220.0
237.1
261.5
285.8
307.5
324.8
348.1
373.9
397.2
423.1
452.0
481.1
519.0
548.8
572.0
589.0
609.5
629.0
648.1
671.8
701.2
733.7
779.7
821.9
873.1
913.3
952.8
991.5
1,035.2
1,089.0
1,144.0
1,173.6
1,187.2
1,076.4
1,082.7
1,092.6
1,104.5
1,127.0
1,138.2
1,150.9
1,159.7
1,167.6
1,176.2
1,175.6
1,174.9
1,185.5
1,193.1
1,185.3
1,185.0

Other

Total

243.0
254.8
272.9
293.8
321.9
342.5
375.3
412.7
434.3
457.8
500.9
560.0
611.8
638.6
710.8
791.6
900.6
1,016.2
1,112.0
1,225.5
1,280.0
1,352.7
1,496.8
1,608.7
1,705.1
1,833.1
1,987.7
2,101.9
2,222.2
2,265.7
2,385.8
2,494.0
2,639.0
2,805.4
2,971.9
3,201.8
3,479.7
3,731.5
4,048.0
4,130.3
4,124.2
4,241.3
4,457.9
4,714.5
5,035.0
5,326.4
5,410.1
5,105.5
5,217.5
5,251.8
5,300.1
5,335.0
5,418.9
5,468.9
5,436.9
5,417.0
5,317.5
5,112.5
5,111.4
5,088.3
5,110.0
5,105.9
5,195.7
5,255.5
5,312.9

27.8
30.4
32.9
35.7
42.3
46.1
52.3
59.3
65.7
74.4
86.4
102.5
118.0
134.3
159.6
186.4
214.9
245.0
274.2
308.3
332.1
358.0
400.5
429.2
455.3
479.4
514.4
548.3
585.1
623.9
673.6
714.1
750.1
760.8
771.4
792.0
842.3
888.8
961.2
1,027.1
1,113.5
1,228.0
1,282.7
1,359.1
1,406.9
1,440.4
1,506.8
1,532.6
1,586.1
1,428.3
1,431.6
1,441.0
1,460.9
1,486.2
1,502.2
1,515.1
1,523.5
1,517.7
1,531.4
1,534.8
1,546.5
1,566.7
1,581.1
1,592.2
1,604.2

Employer Employer
contribu- contributions for tions for
employee governpension
ment
and
social
insurance insurfunds
ance
16.6
18.0
20.3
22.7
25.5
28.1
32.4
36.5
41.8
47.9
55.2
62.7
73.3
87.6
105.2
125.3
143.4
162.4
185.2
204.7
222.4
238.1
261.5
281.5
297.5
313.1
329.7
354.6
378.6
408.7
445.2
474.4
495.9
496.7
496.6
502.4
535.1
565.4
615.9
669.1
747.4
845.6
874.6
931.6
960.1
980.5
1,036.6
1,072.0
1,106.9
970.2
974.2
982.0
995.6
1,015.3
1,031.9
1,043.9
1,055.5
1,060.2
1,069.9
1,074.0
1,084.0
1,095.8
1,103.1
1,110.3
1,118.2

11.2
12.4
12.6
13.1
16.8
18.0
20.0
22.8
23.8
26.4
31.2
39.8
44.7
46.7
54.4
61.1
71.5
82.6
88.9
103.6
109.8
119.9
139.0
147.7
157.9
166.3
184.6
193.7
206.5
215.1
228.4
239.7
254.1
264.1
274.8
289.6
307.2
323.3
345.2
358.0
366.1
382.4
408.1
427.5
446.7
459.9
470.1
460.6
479.2
458.0
457.4
459.0
465.2
471.0
470.4
471.2
468.0
457.4
461.5
460.8
462.5
470.9
478.0
482.0
486.0

Total

55.3
56.5
59.4
63.9
68.2
69.8
74.2
77.5
78.5
84.7
96.0
113.6
113.5
119.6
132.2
146.0
167.5
181.1
173.5
181.6
174.8
190.7
233.1
246.1
262.6
294.2
334.8
351.6
365.1
367.3
414.9
449.6
485.1
516.0
583.7
628.2
687.5
746.8
817.5
870.7
890.3
930.6
1,033.8
1,069.8
1,133.0
1,090.4
1,102.0
1,011.9
1,055.8
1,103.0
1,090.0
1,079.3
1,089.1
1,107.3
1,116.1
1,111.5
1,073.0
1,018.7
1,000.5
1,006.4
1,022.1
1,030.7
1,049.7
1,059.5
1,083.3

Farm

11.2
11.0
9.8
12.0
13.0
11.6
11.7
12.8
12.9
13.4
17.0
29.1
23.5
22.0
17.2
16.0
19.9
22.2
11.7
19.0
13.3
6.2
20.9
21.0
22.8
28.9
26.8
33.0
32.2
27.5
35.8
32.0
35.6
23.4
38.4
32.6
28.9
28.5
29.6
30.5
18.5
36.5
49.7
43.9
29.3
37.8
50.8
30.5
45.6
36.2
34.1
35.0
45.9
60.7
52.7
50.5
39.5
29.6
28.0
28.0
36.2
36.8
38.9
48.5
58.1

Nonfarm

44.1
45.5
49.6
51.9
55.2
58.2
62.5
64.7
65.6
71.3
79.0
84.6
90.0
97.6
115.0
130.1
147.6
159.0
161.8
162.6
161.5
184.5
212.1
225.1
239.7
265.3
308.0
318.6
333.0
339.8
379.1
417.6
449.5
492.6
545.2
595.6
658.7
718.3
787.8
840.2
871.8
894.1
984.1
1,025.9
1,103.6
1,052.6
1,051.2
981.5
1,010.2
1,066.8
1,056.0
1,044.3
1,043.3
1,046.6
1,063.4
1,061.1
1,033.5
989.0
972.5
978.4
985.9
994.0
1,010.8
1,011.0
1,025.1

Rental
income
of
persons
with
capital
consumption
adjustment
18.6
19.3
19.4
19.9
20.5
20.9
20.6
20.9
21.1
22.2
23.1
23.9
24.0
23.4
22.1
19.6
20.9
22.6
28.5
36.5
38.1
38.2
40.0
41.9
33.8
34.2
40.2
42.4
49.8
61.6
84.6
114.1
142.9
154.6
170.4
176.5
191.5
208.2
215.3
232.4
218.7
204.2
198.4
178.2
146.5
143.7
222.0
274.0
301.3
122.4
139.8
146.8
165.9
182.4
206.0
237.1
262.6
264.7
269.4
279.1
282.8
292.7
298.8
303.8
309.9

Table B–28. National income by type of income, 1962–2010—Continued
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Corporate profits with inventory valuation and capital consumption adjustments
Profits with inventory valuation adjustment and
without capital consumption adjustment
Year or quarter

Profits
Total
Total

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

62.3
68.3
75.5
86.5
92.5
90.2
97.3
94.5
82.5
96.1
111.4
124.5
115.1
133.3
161.6
191.8
218.4
225.4
201.4
223.3
205.7
259.8
318.6
332.5
314.1
367.8
426.6
425.6
434.4
457.3
496.2
543.7
628.2
716.2
801.5
884.8
812.4
856.3
819.2
784.2
872.2
977.8
1,246.9
1,456.1
1,608.3
1,510.6
1,262.8
1,258.0
������������
1,515.5
1,565.3
1,501.0
1,460.8
1,376.3
1,329.0
1,350.8
995.0
1,138.2
1,178.0
1,297.5
1,418.2
1,566.6
1,614.1
1,640.1
������������

57.0
62.1
68.6
78.9
84.6
82.0
88.8
85.5
74.4
88.3
101.6
115.4
109.6
135.0
165.6
194.8
222.4
232.0
211.4
219.1
191.1
226.6
264.6
257.5
253.0
306.9
367.7
374.1
398.8
430.3
471.6
515.0
586.6
666.0
743.8
815.9
738.6
776.6
755.7
720.8
762.8
892.2
1,195.1
1,609.5
1,784.7
1,691.1
1,289.1
1,328.6
������������
1,688.3
1,748.7
1,686.0
1,641.5
1,406.1
1,353.3
1,376.0
1,021.0
1,223.0
1,249.8
1,360.5
1,481.2
1,736.5
1,784.7
1,809.3
������������

Profits
before
tax

Taxes
on
corporate
income

Inventory
valuation
Undis- adjusttributed ment
profits

Profits after tax
Total

57.0
24.1
32.9
62.1
26.4
35.7
69.1
28.2
40.9
80.2
31.1
49.1
86.7
33.9
52.8
83.5
32.9
50.6
92.4
39.6
52.8
91.4
40.0
51.4
81.0
34.8
46.2
92.9
38.2
54.7
108.2
42.3
65.9
135.0
50.0
85.0
147.8
52.8
95.0
145.5
51.6
93.9
179.7
65.3 114.5
210.5
74.4 136.1
246.1
84.9 161.3
272.1
90.0 182.1
253.5
87.2 166.4
243.7
84.3 159.4
198.6
66.5 132.1
234.0
80.6 153.4
268.6
97.5 171.1
257.5
99.4 158.1
246.0 109.7 136.3
323.1 130.4 192.7
389.9 141.6 248.3
390.5 146.1 244.4
411.7 145.4 266.3
425.4 138.6 286.8
474.4 148.7 325.7
519.0 171.0 348.0
599.0 193.1 405.9
684.3 217.8 466.5
740.7 231.5 509.3
801.8 245.4 556.3
722.9 248.4 474.5
780.5 258.8 521.7
772.5 265.1 507.4
712.7 203.3 509.4
765.3 192.3 573.0
903.5 243.8 659.7
1,229.4 306.1 923.3
1,640.2 412.4 1,227.8
1,822.7 473.3 1,349.5
1,738.4 445.5 1,292.9
1,333.2 308.4 1,024.8
1,316.7 254.9 1,061.8
������������ ������������ ������������
1,738.6 474.1 1,264.4
1,783.5 467.9 1,315.6
1,715.1 431.0 1,284.1
1,716.3 408.8 1,307.5
1,534.8 356.7 1,178.1
1,493.3 343.0 1,150.4
1,442.7 313.3 1,129.4
861.9 220.4 641.5
1,130.0 222.0 908.0
1,219.2 222.8 996.5
1,369.2 255.7 1,113.5
1,548.4 319.1 1,229.3
1,772.9 403.2 1,369.7
1,788.2 405.6 1,382.6
1,845.7 429.4 1,416.3
������������ ������������ ������������

Net
dividends

15.0
17.9
0.0
16.2
19.5
.1
18.2
22.7
–.5
20.2
28.9
–1.2
20.7
32.1
–2.1
21.5
29.1
–1.6
23.5
29.3
–3.7
24.2
27.2
–5.9
24.3
21.9
–6.6
25.0
29.7
–4.6
26.8
39.0
–6.6
29.9
55.1 –19.6
33.2
61.8 –38.2
33.0
60.9 –10.5
39.0
75.4 –14.1
44.8
91.3 –15.7
50.8 110.5 –23.7
57.5 124.6 –40.1
64.1 102.3 –42.1
73.8
85.6 –24.6
77.7
54.4
–7.5
83.5
69.9
–7.4
90.8
80.3
–4.0
97.6
60.5
.0
106.2
30.1
7.1
112.3
80.3 –16.2
129.9 118.4 –22.2
158.0
86.4 –16.3
169.1
97.2 –12.9
180.7 106.1
4.9
188.0 137.7
–2.8
202.9 145.1
–4.0
235.7 170.2 –12.4
254.4 212.1 –18.3
297.7 211.5
3.1
331.2 225.1
14.1
351.5 123.1
15.7
337.4 184.3
–4.0
377.9 129.5 –16.8
370.9 138.5
8.0
399.3 173.8
–2.6
424.9 234.8 –11.3
550.3 373.0 –34.3
557.3 670.5 –30.7
704.8 644.7 –38.0
794.5 498.4 –47.2
797.7 227.2 –44.1
718.9 342.9
11.9
732.6 ������������ ������������
756.5 508.0 –50.3
804.4 511.2 –34.8
809.7 474.3 –29.1
807.4 500.1 –74.8
812.7 365.4 –128.7
802.1 348.3 –140.0
798.4 331.0 –66.7
777.5 –135.9 159.1
747.8 160.2
93.0
719.7 276.7
30.6
699.6 413.9
–8.7
708.5 520.8 –67.2
720.3 649.4 –36.4
728.4 654.2
–3.5
736.5 679.9 –36.4
745.3 ������������ ������������

Net
interest Taxes
on
Capital
and
con- miscel- producsump- laneous tion
and
tion
payadjust- ments imports
ment

5.3
6.2
6.9
7.6
8.0
8.2
8.5
9.0
8.1
7.8
9.8
9.1
5.6
–1.7
–4.0
–3.0
–4.0
–6.6
–10.0
4.2
14.6
33.3
54.0
75.1
61.1
61.0
58.9
51.5
35.7
27.0
24.6
28.7
41.6
50.2
57.7
69.0
73.8
79.7
63.6
63.4
109.4
85.6
51.8
–153.4
–176.4
–180.5
–26.3
–70.6
–131.4
–172.8
–183.3
–185.1
–180.7
–29.8
–24.3
–25.2
–26.1
–84.8
–71.8
–63.0
–63.0
–169.9
–170.7
–169.3
–15.8

14.2
15.2
17.4
19.6
22.4
25.5
27.1
32.7
39.1
43.9
47.9
55.2
70.8
81.6
85.5
101.1
115.0
138.9
181.8
232.3
271.1
285.3
327.1
341.5
367.1
366.7
385.3
434.1
444.2
418.2
387.7
364.6
362.2
358.3
371.1
407.6
479.3
481.4
539.3
544.4
506.4
504.1
461.6
543.0
652.2
731.6
812.8
784.3
737.6
703.9
693.7
743.3
785.6
787.4
794.3
804.7
864.9
847.4
773.4
750.7
765.6
765.9
736.2
719.6
728.8

50.4
53.4
57.3
60.7
63.2
67.9
76.4
83.9
91.4
100.5
107.9
117.2
124.9
135.3
146.4
159.7
170.9
180.1
200.3
235.6
240.9
263.3
289.8
308.1
323.4
347.5
374.5
398.9
425.0
457.1
483.4
503.1
545.2
557.9
580.8
611.6
639.5
673.6
708.6
727.7
762.8
806.8
863.4
930.2
986.8
1,027.2
1,045.1
1,024.7
1,058.8
1,014.7
1,023.9
1,030.7
1,039.4
1,041.7
1,051.9
1,052.6
1,034.3
1,016.7
1,018.7
1,028.2
1,035.2
1,045.9
1,054.6
1,060.8
1,074.0

Less:
Subsidies

2.3
2.2
2.7
3.0
3.9
3.8
4.2
4.5
4.8
4.7
6.6
5.2
3.3
4.5
5.1
7.1
8.9
8.5
9.8
11.5
15.0
21.3
21.1
21.4
24.9
30.3
29.5
27.4
27.0
27.5
30.1
36.7
32.5
34.8
35.2
33.8
36.4
45.2
45.8
58.7
41.4
49.1
46.4
60.9
51.4
54.6
52.8
60.3
59.0
50.0
58.1
55.7
54.5
51.7
51.8
52.4
55.2
56.8
57.2
69.1
58.4
57.4
58.5
58.6
61.4

Busi- Current
ness surplus
current
of
transfer governpayment
ments enter(net)
prises

2.2
2.7
3.1
3.6
3.5
3.8
4.3
4.9
4.5
4.3
4.9
6.0
7.1
9.4
9.5
8.5
10.8
13.3
14.7
17.9
20.6
22.6
30.3
35.2
36.9
34.1
33.6
39.2
40.1
39.9
40.7
40.5
41.9
45.8
53.8
51.3
65.2
69.0
87.0
101.3
82.4
76.1
81.7
95.9
83.0
103.3
121.7
134.0
131.8
105.6
102.9
104.4
100.4
118.4
114.0
115.7
138.8
139.7
141.8
124.9
129.8
130.5
130.8
133.4
132.5

0.9
1.4
1.3
1.3
1.0
.9
1.2
1.0
.0
–.2
.5
–.4
–.9
–3.2
–1.8
–2.7
–2.2
–2.9
–5.1
–5.6
–4.5
–3.2
–1.9
.6
.9
.2
2.6
4.9
1.6
5.7
8.2
8.7
9.6
13.1
14.4
14.1
13.3
14.1
9.1
4.0
6.3
7.0
1.2
–3.5
–4.2
–11.8
–16.7
–13.2
–13.6
–10.1
–11.0
–11.2
–14.8
–16.0
–17.0
–16.5
–17.3
–15.8
–14.2
–11.7
–11.3
–12.1
–13.1
–14.2
–14.9

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 223

Table B–29. Sources of personal income, 1962–2010
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Proprietors’ income with
inventory valuation and capital
consumption adjustments

Compensation of employees, received
Wage and salary
disbursements
Year or quarter

Personal
income
Total

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

456.4
479.5
514.3
555.5
603.8
648.1
711.7
778.3
838.6
903.1
992.6
1,110.5
1,222.7
1,334.9
1,474.7
1,632.5
1,836.7
2,059.5
2,301.5
2,582.3
2,766.8
2,952.2
3,268.9
3,496.7
3,696.0
3,924.4
4,231.2
4,557.5
4,846.7
5,031.5
5,347.3
5,568.1
5,874.8
6,200.9
6,591.6
7,000.7
7,525.4
7,910.8
8,559.4
8,883.3
9,060.1
9,378.1
9,937.2
10,485.9
11,268.1
11,912.3
12,391.1
12,174.9
12,545.3
11,714.3
11,839.0
11,954.4
12,141.4
12,300.4
12,460.9
12,447.0
12,356.3
12,093.2
12,203.4
12,164.0
12,239.0
12,350.3
12,517.1
12,592.8
12,721.1

327.1
345.2
370.7
399.5
442.7
475.1
524.3
577.6
617.2
658.3
725.1
811.3
890.7
949.0
1,059.2
1,180.4
1,335.2
1,498.5
1,647.6
1,819.6
1,919.6
2,036.0
2,245.2
2,412.0
2,557.7
2,735.6
2,954.2
3,131.3
3,326.2
3,438.4
3,647.2
3,790.6
3,980.9
4,178.8
4,387.7
4,668.6
5,023.9
5,348.8
5,788.8
5,979.3
6,110.8
6,367.6
6,708.4
7,060.0
7,475.7
7,862.2
8,065.8
7,806.7
7,990.8
7,781.4
7,814.4
7,868.5
7,984.3
8,082.2
8,077.3
8,082.9
8,020.7
7,777.7
7,819.0
7,798.7
7,831.4
7,858.1
7,969.9
8,033.0
8,102.1

See next page for continuation of table.

224 |

Supplements to
wages and salaries

Appendix B

Total

Private
industries

Government

299.4
314.9
337.8
363.8
400.3
429.0
472.0
518.3
551.6
584.0
638.8
708.8
772.8
814.7
899.6
994.1
1,120.3
1,253.5
1,373.5
1,511.3
1,587.5
1,678.0
1,844.7
1,982.8
2,102.3
2,256.3
2,439.8
2,583.1
2,741.1
2,814.5
2,973.5
3,076.6
3,230.8
3,418.0
3,616.3
3,876.6
4,181.6
4,460.0
4,827.7
4,952.2
4,997.3
5,139.6
5,425.7
5,701.0
6,068.9
6,421.7
6,559.0
6,274.1
6,404.7
6,353.1
6,382.8
6,427.6
6,523.4
6,595.9
6,575.1
6,567.9
6,497.3
6,260.0
6,287.7
6,263.9
6,284.9
6,291.4
6,388.8
6,440.8
6,497.9

243.0
254.8
272.9
293.8
321.9
342.5
375.3
412.7
434.3
457.4
501.2
560.0
611.8
638.6
710.8
791.6
900.6
1,016.2
1,112.0
1,225.5
1,280.0
1,352.7
1,496.8
1,608.7
1,705.1
1,833.1
1,987.7
2,101.9
2,222.2
2,265.7
2,401.5
2,487.6
2,621.3
2,789.0
2,968.3
3,204.8
3,480.4
3,726.3
4,048.0
4,130.3
4,124.2
4,226.3
4,472.9
4,709.5
5,033.7
5,332.7
5,415.1
5,100.5
5,217.5
5,276.8
5,300.1
5,335.0
5,418.9
5,468.9
5,436.9
5,417.0
5,337.5
5,092.5
5,111.4
5,088.3
5,110.0
5,105.9
5,195.7
5,255.5
5,312.9

56.3
60.0
64.9
69.9
78.4
86.5
96.7
105.6
117.2
126.6
137.6
148.8
161.0
176.1
188.8
202.5
219.7
237.3
261.5
285.8
307.5
325.2
347.9
374.1
397.2
423.1
452.0
481.1
519.0
548.8
572.0
589.0
609.5
629.0
648.1
671.8
701.2
733.7
779.7
821.9
873.1
913.3
952.8
991.5
1,035.2
1,089.0
1,144.0
1,173.6
1,187.2
1,076.4
1,082.7
1,092.6
1,104.5
1,127.0
1,138.2
1,150.9
1,159.7
1,167.6
1,176.2
1,175.6
1,174.9
1,185.5
1,193.1
1,185.3
1,185.0

Total

27.8
30.4
32.9
35.7
42.3
46.1
52.3
59.3
65.7
74.4
86.4
102.5
118.0
134.3
159.6
186.4
214.9
245.0
274.2
308.3
332.1
358.0
400.5
429.2
455.3
479.4
514.4
548.3
585.1
623.9
673.6
714.1
750.1
760.8
771.4
792.0
842.3
888.8
961.2
1,027.1
1,113.5
1,228.0
1,282.7
1,359.1
1,406.9
1,440.4
1,506.8
1,532.6
1,586.1
1,428.3
1,431.6
1,441.0
1,460.9
1,486.2
1,502.2
1,515.1
1,523.5
1,517.7
1,531.4
1,534.8
1,546.5
1,566.7
1,581.1
1,592.2
1,604.2

Employer Employer
contribu- contributions for
for
employee tions
pension government
and
social
insurance insurance
funds
16.6
18.0
20.3
22.7
25.5
28.1
32.4
36.5
41.8
47.9
55.2
62.7
73.3
87.6
105.2
125.3
143.4
162.4
185.2
204.7
222.4
238.1
261.5
281.5
297.5
313.1
329.7
354.6
378.6
408.7
445.2
474.4
495.9
496.7
496.6
502.4
535.1
565.4
615.9
669.1
747.4
845.6
874.6
931.6
960.1
980.5
1,036.6
1,072.0
1,106.9
970.2
974.2
982.0
995.6
1,015.3
1,031.9
1,043.9
1,055.5
1,060.2
1,069.9
1,074.0
1,084.0
1,095.8
1,103.1
1,110.3
1,118.2

11.2
12.4
12.6
13.1
16.8
18.0
20.0
22.8
23.8
26.4
31.2
39.8
44.7
46.7
54.4
61.1
71.5
82.6
88.9
103.6
109.8
119.9
139.0
147.7
157.9
166.3
184.6
193.7
206.5
215.1
228.4
239.7
254.1
264.1
274.8
289.6
307.2
323.3
345.2
358.0
366.1
382.4
408.1
427.5
446.7
459.9
470.1
460.6
479.2
458.0
457.4
459.0
465.2
471.0
470.4
471.2
468.0
457.4
461.5
460.8
462.5
470.9
478.0
482.0
486.0

Total

55.3
56.5
59.4
63.9
68.2
69.8
74.2
77.5
78.5
84.7
96.0
113.6
113.5
119.6
132.2
146.0
167.5
181.1
173.5
181.6
174.8
190.7
233.1
246.1
262.6
294.2
334.8
351.6
365.1
367.3
414.9
449.6
485.1
516.0
583.7
628.2
687.5
746.8
817.5
870.7
890.3
930.6
1,033.8
1,069.8
1,133.0
1,090.4
1,102.0
1,011.9
1,055.8
1,103.0
1,090.0
1,079.3
1,089.1
1,107.3
1,116.1
1,111.5
1,073.0
1,018.7
1,000.5
1,006.4
1,022.1
1,030.7
1,049.7
1,059.5
1,083.3

Farm

11.2
11.0
9.8
12.0
13.0
11.6
11.7
12.8
12.9
13.4
17.0
29.1
23.5
22.0
17.2
16.0
19.9
22.2
11.7
19.0
13.3
6.2
20.9
21.0
22.8
28.9
26.8
33.0
32.2
27.5
35.8
32.0
35.6
23.4
38.4
32.6
28.9
28.5
29.6
30.5
18.5
36.5
49.7
43.9
29.3
37.8
50.8
30.5
45.6
36.2
34.1
35.0
45.9
60.7
52.7
50.5
39.5
29.6
28.0
28.0
36.2
36.8
38.9
48.5
58.1

Nonfarm

44.1
45.5
49.6
51.9
55.2
58.2
62.5
64.7
65.6
71.3
79.0
84.6
90.0
97.6
115.0
130.1
147.6
159.0
161.8
162.6
161.5
184.5
212.1
225.1
239.7
265.3
308.0
318.6
333.0
339.8
379.1
417.6
449.5
492.6
545.2
595.6
658.7
718.3
787.8
840.2
871.8
894.1
984.1
1,025.9
1,103.6
1,052.6
1,051.2
981.5
1,010.2
1,066.8
1,056.0
1,044.3
1,043.3
1,046.6
1,063.4
1,061.1
1,033.5
989.0
972.5
978.4
985.9
994.0
1,010.8
1,011.0
1,025.1

Rental
income
of
persons
with
capital
consumption
adjustment

18.6
19.3
19.4
19.9
20.5
20.9
20.6
20.9
21.1
22.2
23.1
23.9
24.0
23.4
22.1
19.6
20.9
22.6
28.5
36.5
38.1
38.2
40.0
41.9
33.8
34.2
40.2
42.4
49.8
61.6
84.6
114.1
142.9
154.6
170.4
176.5
191.5
208.2
215.3
232.4
218.7
204.2
198.4
178.2
146.5
143.7
222.0
274.0
301.3
122.4
139.8
146.8
165.9
182.4
206.0
237.1
262.6
264.7
269.4
279.1
282.8
292.7
298.8
303.8
309.9

Table B–29. Sources of personal income, 1962–2010—Continued
[Billions of dollars; quarterly data at seasonally adjusted annual rates]
Personal income receipts
on assets

Personal current transfer receipts
Government social benefits to persons

Year or quarter
Total

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

44.1
47.9
53.8
59.4
64.1
69.0
75.2
84.1
93.5
101.0
109.6
124.7
146.4
162.2
178.4
205.3
234.8
274.7
338.7
421.9
488.4
529.6
607.9
653.2
694.5
715.8
767.0
874.8
920.8
928.6
909.7
900.5
947.7
1,005.4
1,080.7
1,165.5
1,269.2
1,246.8
1,360.7
1,346.0
1,309.6
1,312.9
1,408.5
1,542.0
1,829.7
2,057.0
2,109.3
1,919.7
1,906.4
1,959.2
2,050.4
2,098.7
2,119.8
2,123.6
2,114.7
2,129.8
2,069.1
1,972.7
1,925.9
1,891.1
1,889.2
1,911.1
1,914.4
1,889.7
1,910.5

Personal
interest
income

Personal
dividend
income

29.1
31.7
35.6
39.2
43.4
47.5
51.6
59.9
69.2
75.9
82.8
94.8
113.2
129.3
139.5
160.6
184.0
217.3
274.7
348.3
410.8
446.3
517.2
555.8
588.4
603.6
637.3
717.0
751.9
748.2
722.2
698.1
712.7
751.9
784.4
835.8
919.3
910.9
984.2
976.5
911.9
889.8
860.2
987.0
1,127.5
1,265.1
1,314.7
1,222.3
1,193.8
1,205.4
1,248.5
1,291.6
1,315.0
1,313.7
1,315.3
1,334.0
1,295.9
1,240.5
1,229.5
1,213.3
1,205.8
1,208.7
1,205.3
1,174.7
1,186.5

15.0
16.2
18.2
20.2
20.7
21.5
23.5
24.2
24.3
25.0
26.8
29.9
33.2
32.9
39.0
44.7
50.7
57.4
64.0
73.6
77.6
83.3
90.6
97.4
106.0
112.2
129.7
157.8
168.8
180.3
187.6
202.3
235.0
253.4
296.4
329.7
349.8
335.9
376.5
369.5
397.7
423.1
548.3
555.0
702.2
791.9
794.6
697.4
712.7
753.8
801.8
807.1
804.8
809.9
799.4
795.7
773.2
732.2
696.4
677.8
683.4
702.4
709.2
715.0
724.1

Total

30.4
32.2
33.5
36.2
39.6
48.0
56.1
62.3
74.7
88.1
97.9
112.6
133.3
170.0
184.0
194.2
209.6
235.3
279.5
318.4
354.8
383.7
400.1
424.9
451.0
467.6
496.5
542.6
594.9
665.9
745.8
790.8
826.4
878.9
924.1
949.2
977.9
1,021.6
1,083.0
1,188.1
1,282.1
1,341.7
1,415.5
1,508.6
1,605.0
1,718.5
1,879.2
2,132.8
2,295.2
1,701.6
1,698.6
1,719.8
1,753.8
1,793.2
1,934.4
1,875.2
1,914.2
2,023.7
2,160.2
2,159.3
2,188.2
2,245.5
2,286.1
2,316.4
2,333.0

Total

28.8
30.3
31.3
33.9
37.5
45.8
53.3
59.0
71.7
85.4
94.8
108.6
128.6
163.1
177.3
189.1
203.2
227.1
270.8
307.2
342.4
369.9
380.4
402.6
428.0
447.4
475.9
519.4
572.7
648.2
729.5
776.7
813.1
860.2
901.2
929.8
951.9
987.6
1,040.6
1,141.3
1,247.9
1,316.0
1,398.6
1,482.7
1,583.6
1,687.9
1,842.6
2,096.8
2,257.8
1,674.9
1,669.0
1,687.8
1,719.9
1,757.5
1,897.7
1,838.0
1,877.1
1,987.2
2,124.1
2,123.4
2,152.5
2,208.9
2,249.1
2,279.2
2,294.2

Old-age,
survivors,
disability,
and
health
insurance
benefits
14.3
15.2
16.0
18.1
20.8
25.8
30.5
33.1
38.6
44.7
49.8
60.9
70.3
81.5
93.3
105.3
116.9
132.5
154.8
182.1
204.6
222.2
237.8
253.0
268.9
282.6
300.2
325.6
351.8
381.7
414.4
444.7
476.6
508.9
536.9
563.5
574.7
588.6
620.5
667.7
706.1
740.4
790.2
844.7
943.3
1,003.2
1,068.3
1,164.5
1,213.9
989.1
998.5
1,007.1
1,018.1
1,044.7
1,060.8
1,076.9
1,090.9
1,138.6
1,158.2
1,172.6
1,188.8
1,191.3
1,208.1
1,223.5
1,232.6

Government unemploy- Veterans
ment
benefits
insurance
benefits
3.1
3.0
2.7
2.3
1.9
2.2
2.1
2.2
4.0
5.8
5.7
4.4
6.8
17.6
15.8
12.7
9.1
9.4
15.7
15.6
25.1
26.2
15.9
15.7
16.3
14.5
13.2
14.3
18.0
26.6
38.9
34.1
23.5
21.4
22.0
19.9
19.5
20.3
20.6
31.7
53.2
52.8
36.0
31.3
29.9
32.3
50.7
128.6
136.7
31.3
30.6
32.8
34.7
35.6
37.6
58.1
71.5
98.2
127.7
145.0
143.4
146.1
136.8
135.7
128.3

4.7
4.8
4.7
4.9
4.9
5.6
5.9
6.7
7.7
8.8
9.7
10.4
11.8
14.5
14.4
13.8
13.9
14.4
15.0
16.1
16.4
16.6
16.4
16.7
16.7
16.6
16.9
17.3
17.8
18.3
19.3
20.0
20.1
20.9
21.7
22.6
23.5
24.3
25.2
26.8
29.8
32.2
34.5
36.8
39.3
42.1
45.6
52.3
61.8
41.0
42.1
42.3
43.0
44.7
45.1
46.0
46.5
50.2
51.0
52.8
55.1
57.8
60.4
63.3
65.9

Family
assistance 1

1.3
1.4
1.5
1.7
1.9
2.3
2.8
3.5
4.8
6.2
6.9
7.2
8.0
9.3
10.1
10.6
10.8
11.1
12.5
13.1
12.9
13.8
14.5
15.2
16.1
16.4
16.9
17.5
19.2
21.1
22.2
22.8
23.2
22.6
20.3
17.9
17.4
17.9
18.4
18.1
17.7
18.4
18.4
18.2
18.2
18.3
19.3
20.1
19.8
18.2
18.2
18.4
18.5
18.8
19.1
19.4
19.7
19.9
20.1
20.2
20.1
19.9
19.4
19.9
19.9

Other

5.5
5.9
6.4
7.0
8.1
9.9
11.9
13.4
16.6
20.0
22.7
25.7
31.7
40.2
43.7
46.7
52.5
59.6
72.8
80.2
83.4
91.0
95.9
102.0
109.9
117.3
128.7
144.8
165.9
200.5
234.6
255.0
269.7
286.4
300.3
306.0
316.8
336.4
355.9
397.1
441.1
472.3
519.6
551.7
552.9
592.0
658.7
731.3
825.6
595.3
579.6
587.3
605.7
613.6
735.1
637.6
648.6
680.3
767.0
732.9
745.0
793.8
824.4
836.8
847.5

Less:
Contributions
Other
for
current
governtransfer
ment
receipts,
social
from insurance,
business domestic
(net)
1.5
1.9
2.2
2.3
2.1
2.3
2.8
3.3
2.9
2.7
3.1
3.9
4.7
6.8
6.7
5.1
6.5
8.2
8.6
11.2
12.4
13.8
19.7
22.3
22.9
20.2
20.6
23.2
22.2
17.6
16.3
14.1
13.3
18.7
22.9
19.4
26.0
34.0
42.4
46.8
34.2
25.7
16.9
25.8
21.4
30.5
36.7
36.0
37.4
26.7
29.6
32.0
33.9
35.7
36.7
37.2
37.1
36.5
36.1
35.8
35.8
36.6
37.0
37.2
38.8

19.1
21.7
22.4
23.4
31.3
34.9
38.7
44.1
46.4
51.2
59.2
75.5
85.2
89.3
101.3
113.1
131.3
152.7
166.2
195.7
208.9
226.0
257.5
281.4
303.4
323.1
361.5
385.2
410.1
430.2
455.0
477.4
508.2
532.8
555.1
587.2
624.7
661.3
705.8
733.2
751.5
778.9
827.3
872.7
921.8
959.5
987.2
970.3
1,004.3
953.4
954.2
958.7
971.6
988.3
987.7
989.5
983.4
964.2
971.6
970.6
974.8
987.8
1,001.9
1,009.8
1,017.7

1 Consists of aid to families with dependent children and, beginning in 1996, assistance programs operating under the Personal Responsibility and Work
Opportunity Reconciliation Act of 1996.
Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 225

Table B–30. Disposition of personal income, 1962–2010
[Billions of dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Percent of disposable
personal income 2

Less: Personal outlays

Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Personal
income

456.4
479.5
514.3
555.5
603.8
648.1
711.7
778.3
838.6
903.1
992.6
1,110.5
1,222.7
1,334.9
1,474.7
1,632.5
1,836.7
2,059.5
2,301.5
2,582.3
2,766.8
2,952.2
3,268.9
3,496.7
3,696.0
3,924.4
4,231.2
4,557.5
4,846.7
5,031.5
5,347.3
5,568.1
5,874.8
6,200.9
6,591.6
7,000.7
7,525.4
7,910.8
8,559.4
8,883.3
9,060.1
9,378.1
9,937.2
10,485.9
11,268.1
11,912.3
12,391.1
12,174.9
12,545.3
11,714.3
11,839.0
11,954.4
12,141.4
12,300.4
12,460.9
12,447.0
12,356.3
12,093.2
12,203.4
12,164.0
12,239.0
12,350.3
12,517.1
12,592.8
12,721.1

Less:
Personal
current
taxes

51.6
54.6
52.1
57.7
66.4
73.0
87.0
104.5
103.1
101.7
123.6
132.4
151.0
147.6
172.3
197.5
229.4
268.7
298.9
345.2
354.1
352.3
377.4
417.3
437.2
489.1
504.9
566.1
592.7
586.6
610.5
646.5
690.5
743.9
832.0
926.2
1,026.4
1,107.5
1,232.3
1,234.8
1,050.4
1,000.3
1,047.8
1,208.6
1,352.4
1,488.7
1,438.2
1,140.0
1,167.0
1,458.7
1,480.4
1,497.5
1,518.0
1,535.8
1,331.6
1,442.4
1,443.0
1,213.4
1,112.5
1,117.0
1,117.2
1,134.7
1,149.1
1,177.7
1,206.4

Equals:
Disposable
personal
income

404.9
425.0
462.3
497.8
537.4
575.1
624.7
673.8
735.5
801.4
869.0
978.1
1,071.7
1,187.3
1,302.3
1,435.0
1,607.3
1,790.9
2,002.7
2,237.1
2,412.7
2,599.8
2,891.5
3,079.3
3,258.8
3,435.3
3,726.3
3,991.4
4,254.0
4,444.9
4,736.7
4,921.6
5,184.3
5,457.0
5,759.6
6,074.6
6,498.9
6,803.3
7,327.2
7,648.5
8,009.7
8,377.8
8,889.4
9,277.3
9,915.7
10,423.6
10,952.9
11,034.9
11,378.3
10,255.5
10,358.6
10,456.9
10,623.4
10,764.6
11,129.2
11,004.7
10,913.3
10,879.8
11,090.9
11,047.0
11,121.7
11,215.6
11,368.0
11,415.1
11,514.7

Total

371.4
391.8
421.7
455.1
493.1
520.9
572.2
621.4
666.1
721.0
791.5
875.2
957.5
1,061.3
1,179.6
1,309.7
1,465.0
1,633.4
1,806.4
2,000.4
2,148.8
2,372.9
2,595.2
2,825.7
3,012.4
3,211.9
3,469.7
3,726.4
3,977.3
4,131.7
4,388.7
4,636.2
4,913.6
5,170.8
5,478.5
5,794.2
6,157.5
6,595.5
7,114.1
7,443.5
7,727.5
8,088.0
8,585.7
9,149.6
9,680.7
10,208.9
10,505.0
10,379.6
10,723.2
10,014.9
10,153.8
10,267.2
10,399.7
10,475.2
10,591.6
10,608.0
10,345.3
10,291.6
10,297.4
10,423.6
10,505.7
10,603.9
10,663.7
10,736.3
10,888.9

1 Consists of nonmortgage interest paid by households.
2 Percents based on data in millions of dollars.

Source: Department of Commerce (Bureau of Economic Analysis).

226 |

Appendix B

Personal
consumption
expenditures
363.3
382.7
411.5
443.8
480.9
507.8
558.0
605.1
648.3
701.6
770.2
852.0
932.9
1,033.8
1,151.3
1,277.8
1,427.6
1,591.2
1,755.8
1,939.5
2,075.5
2,288.6
2,501.1
2,717.6
2,896.7
3,097.0
3,350.1
3,594.5
3,835.5
3,980.1
4,236.9
4,483.6
4,750.8
4,987.3
5,273.6
5,570.6
5,918.5
6,342.8
6,830.4
7,148.8
7,439.2
7,804.0
8,285.1
8,819.0
9,322.7
9,806.3
10,104.5
10,001.3
10,351.9
9,632.8
9,753.2
9,850.8
9,988.4
10,065.7
10,183.0
10,202.0
9,967.2
9,913.0
9,920.1
10,040.7
10,131.5
10,230.8
10,285.4
10,366.3
10,525.2

Personal
interest
payments 1
7.0
7.9
8.9
9.9
10.7
11.1
12.2
14.0
15.2
16.6
18.1
19.8
21.2
23.7
23.9
27.0
31.9
36.2
43.6
49.3
59.5
69.2
77.0
89.4
94.5
91.7
94.0
103.9
111.3
115.0
111.3
107.0
113.0
130.6
147.3
159.7
169.5
176.5
200.3
203.7
191.3
182.7
190.3
210.8
230.1
260.9
246.2
216.8
198.6
244.4
260.6
273.4
265.2
259.2
252.6
248.0
225.0
220.1
218.4
220.9
207.8
203.8
206.0
197.1
187.3

Personal
current
transfer
payments
1.1
1.2
1.3
1.4
1.6
2.0
2.0
2.2
2.6
2.8
3.2
3.4
3.4
3.8
4.4
4.8
5.4
6.0
6.9
11.5
13.8
15.1
17.1
18.8
21.1
23.2
25.6
28.0
30.6
36.7
40.5
45.6
49.8
52.9
57.6
63.9
69.5
76.2
83.4
91.0
97.0
101.3
110.3
119.8
128.0
141.7
154.3
161.4
172.7
137.7
140.0
143.0
146.1
150.3
155.9
158.0
153.1
158.5
158.9
161.9
166.4
169.2
172.3
172.9
176.4

Equals:
Personal
saving

Personal outlays

Total

33.5
33.1
40.5
42.7
44.3
54.2
52.5
52.5
69.4
80.4
77.5
102.9
114.2
125.9
122.8
125.3
142.4
157.5
196.3
236.7
263.9
226.9
296.3
253.6
246.5
223.4
256.6
265.0
276.7
313.2
348.1
285.4
270.7
286.3
281.1
280.4
341.5
207.8
213.1
204.9
282.2
289.8
303.7
127.7
235.0
214.7
447.9
655.3
655.1
240.6
204.8
189.7
223.7
289.3
537.7
396.7
568.0
588.2
793.5
623.4
616.0
611.8
704.3
678.7
625.8

91.7
92.2
91.2
91.4
91.8
90.6
91.6
92.2
90.6
90.0
91.1
89.5
89.3
89.4
90.6
91.3
91.1
91.2
90.2
89.4
89.1
91.3
89.8
91.8
92.4
93.5
93.1
93.4
93.5
93.0
92.7
94.2
94.8
94.8
95.1
95.4
94.7
96.9
97.1
97.3
96.5
96.5
96.6
98.6
97.6
97.9
95.9
94.1
94.2
97.7
98.0
98.2
97.9
97.3
95.2
96.4
94.8
94.6
92.8
94.4
94.5
94.5
93.8
94.1
94.6

Personal
consumption
expenditures
89.7
90.0
89.0
89.2
89.5
88.3
89.3
89.8
88.1
87.5
88.6
87.1
87.0
87.1
88.4
89.0
88.8
88.8
87.7
86.7
86.0
88.0
86.5
88.3
88.9
90.2
89.9
90.1
90.2
89.5
89.4
91.1
91.6
91.4
91.6
91.7
91.1
93.2
93.2
93.5
92.9
93.2
93.2
95.1
94.0
94.1
92.3
90.6
91.0
93.9
94.2
94.2
94.0
93.5
91.5
92.7
91.3
91.1
89.4
90.9
91.1
91.2
90.5
90.8
91.4

Personal
saving

8.3
7.8
8.8
8.6
8.2
9.4
8.4
7.8
9.4
10.0
8.9
10.5
10.7
10.6
9.4
8.7
8.9
8.8
9.8
10.6
10.9
8.7
10.2
8.2
7.6
6.5
6.9
6.6
6.5
7.0
7.3
5.8
5.2
5.2
4.9
4.6
5.3
3.1
2.9
2.7
3.5
3.5
3.4
1.4
2.4
2.1
4.1
5.9
5.8
2.3
2.0
1.8
2.1
2.7
4.8
3.6
5.2
5.4
7.2
5.6
5.5
5.5
6.2
5.9
5.4

Table B–31. Total and per capita disposable personal income and personal consumption
expenditures, and per capita gross domestic product, in current and real dollars, 1962–2010
[Quarterly data at seasonally adjusted annual rates, except as noted]
Disposable personal income
Year or quarter

1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2007: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2008: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2009: I ������������������
      II �����������������
      III ����������������
      IV ����������������
2010: I ������������������
      II �����������������
      III ����������������
      IV p �������������

Total
(billions of dollars)
Current
dollars

Chained
(2005)
dollars

404.9
425.0
462.3
497.8
537.4
575.1
624.7
673.8
735.5
801.4
869.0
978.1
1,071.7
1,187.3
1,302.3
1,435.0
1,607.3
1,790.9
2,002.7
2,237.1
2,412.7
2,599.8
2,891.5
3,079.3
3,258.8
3,435.3
3,726.3
3,991.4
4,254.0
4,444.9
4,736.7
4,921.6
5,184.3
5,457.0
5,759.6
6,074.6
6,498.9
6,803.3
7,327.2
7,648.5
8,009.7
8,377.8
8,889.4
9,277.3
9,915.7
10,423.6
10,952.9
11,034.9
11,378.3
10,255.5
10,358.6
10,456.9
10,623.4
10,764.6
11,129.2
11,004.7
10,913.3
10,879.8
11,090.9
11,047.0
11,121.7
11,215.6
11,368.0
11,415.1
11,514.7

2,129.6
2,209.5
2,368.7
2,514.7
2,647.3
2,763.5
2,889.2
2,981.4
3,108.8
3,249.1
3,406.6
3,638.2
3,610.2
3,691.3
3,838.3
3,970.7
4,156.5
4,253.8
4,295.6
4,410.0
4,506.5
4,655.7
4,989.1
5,144.8
5,315.0
5,402.4
5,635.6
5,785.1
5,896.3
5,945.9
6,155.3
6,258.2
6,459.0
6,651.6
6,870.9
7,113.5
7,538.8
7,766.7
8,161.5
8,360.1
8,637.1
8,853.9
9,155.1
9,277.3
9,650.7
9,874.2
10,042.9
10,099.8
10,239.4
9,832.1
9,845.9
9,882.8
9,936.1
9,971.4
10,192.8
9,970.8
10,036.3
10,046.9
10,193.0
10,079.7
10,080.4
10,113.3
10,251.9
10,274.6
10,317.8

Personal consumption expenditures

Per capita
(dollars)
Current
dollars
2,170
2,245
2,408
2,562
2,733
2,894
3,112
3,324
3,586
3,859
4,140
4,615
5,010
5,497
5,972
6,514
7,220
7,956
8,794
9,726
10,390
11,095
12,232
12,911
13,540
14,146
15,206
16,134
17,004
17,532
18,436
18,909
19,678
20,470
21,355
22,255
23,534
24,356
25,944
26,805
27,799
28,805
30,287
31,318
33,157
34,512
35,931
35,888
36,691
34,081
34,344
34,579
35,042
35,432
36,556
36,060
35,677
35,497
36,115
35,888
36,049
36,282
36,704
36,771
37,006

Chained
(2005)
dollars
11,413
11,672
12,342
12,939
13,465
13,904
14,392
14,706
15,158
15,644
16,228
17,166
16,878
17,091
17,600
18,025
18,670
18,897
18,863
19,173
19,406
19,868
21,105
21,571
22,083
22,246
22,997
23,385
23,568
23,453
23,958
24,044
24,517
24,951
25,475
26,061
27,299
27,805
28,899
29,299
29,976
30,442
31,193
31,318
32,271
32,693
32,946
32,847
33,019
32,674
32,644
32,681
32,775
32,821
33,480
32,672
32,810
32,780
33,191
32,746
32,673
32,717
33,100
33,097
33,160

Total
(billions of dollars)
Current
dollars
363.3
382.7
411.5
443.8
480.9
507.8
558.0
605.1
648.3
701.6
770.2
852.0
932.9
1,033.8
1,151.3
1,277.8
1,427.6
1,591.2
1,755.8
1,939.5
2,075.5
2,288.6
2,501.1
2,717.6
2,896.7
3,097.0
3,350.1
3,594.5
3,835.5
3,980.1
4,236.9
4,483.6
4,750.8
4,987.3
5,273.6
5,570.6
5,918.5
6,342.8
6,830.4
7,148.8
7,439.2
7,804.0
8,285.1
8,819.0
9,322.7
9,806.3
10,104.5
10,001.3
10,351.9
9,632.8
9,753.2
9,850.8
9,988.4
10,065.7
10,183.0
10,202.0
9,967.2
9,913.0
9,920.1
10,040.7
10,131.5
10,230.8
10,285.4
10,366.3
10,525.2

Per capita
(dollars)

Chained
(2005)
dollars
1,911.2
1,989.9
2,108.4
2,241.8
2,369.0
2,440.0
2,580.7
2,677.4
2,740.2
2,844.6
3,019.5
3,169.1
3,142.8
3,214.1
3,393.1
3,535.9
3,691.8
3,779.5
3,766.2
3,823.3
3,876.7
4,098.3
4,315.6
4,540.4
4,724.5
4,870.3
5,066.6
5,209.9
5,316.2
5,324.2
5,505.7
5,701.2
5,918.9
6,079.0
6,291.2
6,523.4
6,865.5
7,240.9
7,608.1
7,813.9
8,021.9
8,247.6
8,532.7
8,819.0
9,073.5
9,289.5
9,265.0
9,153.9
9,315.7
9,235.2
9,270.5
9,310.0
9,342.3
9,324.1
9,326.2
9,243.5
9,166.3
9,154.1
9,117.0
9,161.6
9,182.9
9,225.4
9,275.7
9,330.6
9,431.2

Current
dollars
1,947
2,022
2,144
2,284
2,446
2,555
2,780
2,985
3,161
3,378
3,669
4,020
4,362
4,786
5,279
5,801
6,413
7,069
7,710
8,432
8,938
9,766
10,580
11,394
12,036
12,753
13,670
14,530
15,331
15,699
16,491
17,226
18,033
18,708
19,553
20,408
21,432
22,707
24,185
25,054
25,819
26,832
28,228
29,771
31,174
32,469
33,148
32,526
33,382
32,012
32,336
32,575
32,947
33,132
33,448
33,430
32,584
32,343
32,302
32,619
32,839
33,097
33,208
33,392
33,826

Chained
(2005)
dollars
10,243
10,512
10,985
11,535
12,050
12,276
12,856
13,206
13,361
13,696
14,384
14,953
14,693
14,881
15,558
16,051
16,583
16,790
16,538
16,623
16,694
17,489
18,256
19,037
19,630
20,055
20,675
21,060
21,249
21,000
21,430
21,904
22,466
22,803
23,325
23,899
24,861
25,923
26,939
27,385
27,841
28,357
29,072
29,771
30,341
30,757
30,394
29,770
30,040
30,691
30,736
30,786
30,816
30,690
30,634
30,289
29,966
29,867
29,687
29,763
29,764
29,844
29,948
30,056
30,310

Gross domestic
product
per capita
(dollars)
Current
dollars
3,139
3,263
3,458
3,700
4,007
4,188
4,532
4,856
5,063
5,425
5,897
6,522
7,010
7,583
8,366
9,216
10,303
11,382
12,243
13,594
14,009
15,084
16,629
17,683
18,531
19,504
20,813
22,160
23,185
23,635
24,686
25,616
26,893
27,813
29,062
30,526
31,843
33,486
35,237
36,049
36,935
38,310
40,435
42,664
44,805
46,558
47,138
45,918
47,274
45,826
46,444
46,818
47,140
47,162
47,535
47,464
46,393
45,840
45,700
45,855
46,277
46,734
47,070
47,498
47,791

Chained
(2005)
dollars
16,466
16,940
17,675
18,576
19,559
19,836
20,590
21,021
20,820
21,249
22,140
23,200
22,861
22,592
23,575
24,412
25,503
26,010
25,640
26,030
25,282
26,186
27,823
28,717
29,443
30,115
31,069
31,877
32,112
31,614
32,255
32,747
33,671
34,112
34,977
36,102
37,238
38,592
39,750
39,768
40,096
40,711
41,784
42,664
43,391
43,801
43,397
41,890
42,723
43,499
43,745
43,876
44,080
43,906
43,880
43,331
42,478
41,869
41,713
41,781
42,198
42,504
42,602
42,773
43,009

Population
(thousands) 1

186,590
189,300
191,927
194,347
196,599
198,752
200,745
202,736
205,089
207,692
209,924
211,939
213,898
215,981
218,086
220,289
222,629
225,106
227,726
230,008
232,218
234,333
236,394
238,506
240,683
242,843
245,061
247,387
250,181
253,530
256,922
260,282
263,455
266,588
269,714
272,958
276,154
279,328
282,418
285,335
288,133
290,845
293,502
296,229
299,052
302,025
304,831
307,483
310,109
300,913
301,617
302,406
303,166
303,810
304,445
305,177
305,890
306,496
307,101
307,815
308,521
309,120
309,724
310,438
311,155

1 Population of the United States including Armed Forces overseas. Annual data are averages of quarterly data. Quarterly data are averages for the period.

Source: Department of Commerce (Bureau of Economic Analysis and Bureau of the Census).

National Income or Expenditure | 227

Table B–32. Gross saving and investment, 1962–2010
[Billions of dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Gross saving
Net saving
Year or quarter

Total
gross
saving

Net private saving
Total
net
saving

Total

1962 ����������������������
124.9
64.3
56.7
1963 ����������������������
133.2
69.8
58.8
1964 ����������������������
143.4
77.0
69.7
1965 ����������������������
158.5
87.7
78.0
1966 ����������������������
168.7
92.3
82.3
1967 ����������������������
170.6
87.6
89.9
1968 ����������������������
182.0
91.6
86.6
1969 ����������������������
198.4
99.3
82.7
1970 ����������������������
192.8
84.5
92.9
1971 ����������������������
209.2
91.5
113.7
1972 ����������������������
237.3
110.1
119.4
1973 ����������������������
292.2
151.4
147.5
1974 ����������������������
301.8
138.1
143.3
1975 ����������������������
296.9
106.5
174.6
1976 ����������������������
342.0
133.8
180.1
1977 ����������������������
396.7
164.9
197.9
1978 ����������������������
476.3
214.9
225.2
1979 ����������������������
533.2
234.3
235.3
1980 ����������������������
542.7
198.6
246.5
1981 ����������������������
646.1
252.7
301.9
1982 ����������������������
621.5
187.9
325.4
1983 ����������������������
602.4
151.3
322.6
1984 ����������������������
753.4
279.0
426.5
1985 ����������������������
738.4
232.9
389.2
1986 ����������������������
709.3
170.8
344.7
1987 ����������������������
782.3
211.2
348.5
1988 ����������������������
901.5
290.5
411.7
1989 ����������������������
924.1
272.7
386.5
1990 ����������������������
917.6
226.4
396.7
1991 ����������������������
951.3
227.0
451.2
1992 ����������������������
932.3
187.9
491.8
1993 ����������������������
958.4
180.4
461.6
1994 ����������������������
1,094.7
275.5
487.7
1995 ����������������������
1,219.0
349.6
546.6
1996 ����������������������
1,344.4
431.8
557.1
1997 ����������������������
1,525.7
561.9
585.7
1998 ����������������������
1,654.4
633.9
553.4
1999 ����������������������
1,708.0
613.6
473.0
2000 ����������������������
1,800.1
615.8
389.4
2001 ����������������������
1,695.7
439.4
414.9
2002 ����������������������
1,560.9
255.9
562.8
2003 ����������������������
1,552.8
198.7
613.9
2004 ����������������������
1,724.2
291.4
679.2
2005 ����������������������
1,903.4
362.0
619.1
2006 ����������������������
2,174.4
513.7
666.5
2007 ����������������������
2,013.6
246.1
479.1
2008 ����������������������
1,785.2
–64.0
599.6
2009 ����������������������
1,533.8
–327.4
944.5
2010 p �������������������� ��������������� ��������������� ���������������
2007: I ������������������
2,062.6
328.7
500.5
      II �����������������
2,047.8
290.2
497.8
      III ����������������
1,972.9
194.7
449.9
      IV ����������������
1,971.1
170.8
468.2
2008: I ������������������
1,905.1
90.2
496.2
      II �����������������
1,764.8
–73.6
721.6
      III ����������������
1,788.1
–75.9
635.7
      IV ����������������
1,682.9
–196.7
545.0
2009: I ������������������
1,613.5
–268.1
776.7
      II �����������������
1,521.1
–341.3 1,029.0
      III ����������������
1,438.0
–410.3
965.6
      IV ����������������
1,562.5
–289.8 1,006.7
2010: I ������������������
1,621.5
–230.9 1,054.8
      II �����������������
1,723.9
–136.5 1,184.3
      III ����������������
1,728.3
–143.6 1,152.9
      IV p ������������� ��������������� ��������������� ���������������

1 With inventory valuation and capital consumption adjustments.

See next page for continuation of table.

228 |

Appendix B

Net government saving

Wage
UndisPersonal tributed accruals
less
saving corporate disburseprofits 1
ments
33.5
23.2
33.1
25.7
40.5
29.2
42.7
35.3
44.3
38.0
54.2
35.8
52.5
34.1
52.5
30.3
69.4
23.4
80.4
32.9
77.5
42.2
102.9
44.6
114.2
29.1
125.9
48.7
122.8
57.3
125.3
72.6
142.4
82.8
157.5
77.8
196.3
50.2
236.7
65.2
263.9
61.5
226.9
95.7
296.3
130.3
253.6
135.6
246.5
98.3
223.4
125.1
256.6
155.1
265.0
121.5
276.7
120.0
313.2
138.0
348.1
159.5
285.4
169.7
270.7
199.4
286.3
243.9
281.1
272.3
280.4
308.2
341.5
212.6
207.8
260.1
213.1
176.3
204.9
210.0
282.2
280.6
289.8
309.2
303.7
390.5
127.7
486.4
235.0
430.3
214.7
270.7
447.9
156.7
655.3
284.2
655.1 ���������������
240.6
284.9
204.8
293.0
189.7
260.2
223.7
244.6
289.3
206.9
537.7
183.9
396.7
239.0
568.0
–2.9
588.2
168.5
793.5
235.5
623.4
342.2
616.0
390.6
611.8
443.0
704.3
480.1
678.7
474.2
625.8 ���������������

Consumption of fixed capital

0.0
.0
.0
.0
.0
.0
.0
.0
.0
.4
–.3
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
–15.8
6.4
17.6
16.4
3.6
–2.9
–.7
5.2
.0
.0
.0
15.0
–15.0
5.0
1.3
–6.3
–5.0
5.0
.0
–25.0
.0
.0
.0
.0
.0
.0
–20.0
20.0
.0
.0
.0
.0
.0
.0
.0

Total

7.7
11.0
7.3
9.8
10.0
–2.3
5.1
16.5
–8.4
–22.2
–9.3
3.9
–5.2
–68.2
–46.3
–33.0
–10.2
–1.0
–47.8
–49.2
–137.5
–171.4
–147.5
–156.3
–173.9
–137.4
–121.2
–113.8
–170.3
–224.2
–303.9
–281.2
–212.2
–197.0
–125.3
–23.8
80.5
140.6
226.5
24.6
–306.9
–415.2
–387.8
–257.1
–152.7
–233.0
–663.6
–1,271.9
���������������
–171.8
–207.7
–255.2
–297.4
–406.0
–795.2
–711.6
–741.7
–1,044.8
–1,370.3
–1,375.9
–1,296.4
–1,285.7
–1,320.8
–1,296.5
���������������

Federal

State
and
local

2.4
5.2
5.3
5.7
.9
6.4
3.2
6.5
2.3
7.8
–9.3
7.0
–2.4
7.5
8.6
8.0
–15.5
7.1
–28.7
6.5
–24.9
15.6
–11.8
15.7
–14.5
9.3
–70.6
2.5
–53.7
7.4
–46.1
13.1
–28.9
18.7
–14.0
13.0
–56.6
8.8
–56.8
7.6
–135.3
–2.2
–176.2
4.9
–171.5
23.9
–178.6
22.4
–194.6
20.7
–149.3
12.0
–138.4
17.2
–133.9
20.1
–176.4
6.2
–218.4
–5.8
–302.5
–1.4
–280.2
–.9
–220.4
8.2
–206.2
9.2
–148.2
23.0
–60.1
36.3
33.6
46.9
98.8
41.8
185.2
41.3
40.5
–15.9
–252.8
–54.1
–376.4
–38.8
–379.5
–8.4
–283.0
25.9
–203.8
51.0
–245.2
12.2
–616.2
–47.4
–1,251.7
–20.1
��������������� ���������������
–201.6
29.8
–237.4
29.8
–265.2
10.0
–276.7
–20.7
–376.7
–29.3
–761.6
–33.6
–646.7
–64.9
–680.0
–61.8
–1,003.2
–41.6
–1,336.8
–33.6
–1,356.7
–19.2
–1,310.3
13.9
–1,314.2
28.6
–1,336.5
15.8
–1,344.3
47.7
��������������� ���������������

Total

Private

60.6
63.3
66.4
70.7
76.5
82.9
90.4
99.2
108.3
117.8
127.2
140.8
163.7
190.4
208.2
231.8
261.4
298.9
344.1
393.3
433.5
451.1
474.3
505.4
538.5
571.1
611.0
651.5
691.2
724.4
744.4
778.0
819.2
869.5
912.5
963.8
1,020.5
1,094.4
1,184.3
1,256.2
1,305.0
1,354.1
1,432.8
1,541.4
1,660.7
1,767.5
1,849.2
1,861.1
1,868.7
1,733.9
1,757.6
1,778.2
1,800.3
1,814.8
1,838.4
1,864.0
1,879.6
1,881.6
1,862.3
1,848.3
1,852.2
1,852.4
1,860.4
1,871.9
1,890.0

44.1
45.9
48.3
51.9
56.5
61.6
67.4
74.5
81.7
89.5
97.7
109.5
127.8
150.4
165.5
186.1
212.0
244.5
282.3
323.2
356.4
369.5
387.5
412.8
439.1
464.5
497.1
529.6
560.4
585.4
599.9
626.4
661.0
704.6
743.4
789.7
841.6
907.2
986.8
1,051.6
1,094.0
1,135.9
1,200.9
1,290.8
1,391.4
1,476.2
1,536.9
1,535.8
1,533.8
1,449.6
1,468.6
1,484.8
1,501.8
1,511.2
1,529.2
1,548.8
1,558.3
1,557.2
1,537.5
1,523.1
1,525.5
1,522.8
1,527.4
1,535.5
1,549.7

Government

16.5
17.5
18.1
18.9
20.0
21.4
23.0
24.7
26.6
28.2
29.4
31.3
35.9
39.9
42.6
45.6
49.5
54.4
61.8
70.1
77.1
81.6
86.9
92.7
99.4
106.6
113.9
121.8
130.8
138.9
144.5
151.6
158.2
164.8
169.2
174.1
179.0
187.2
197.5
204.6
210.9
218.1
231.9
250.6
269.3
291.3
312.3
325.3
334.8
284.3
289.0
293.4
298.5
303.6
309.2
315.2
321.3
324.3
324.9
325.1
326.8
329.6
333.0
336.4
340.3

Table B–32. Gross saving and investment, 1962–2010—Continued
[Billions of dollars, except as noted; quarterly data at seasonally adjusted annual rates]
Gross domestic investment, capital account
transactions, and net lending, NIPA 2
Gross domestic investment
Year or quarter
Total

1962 ��������������������
1963 ��������������������
1964 ��������������������
1965 ��������������������
1966 ��������������������
1967 ��������������������
1968 ��������������������
1969 ��������������������
1970 ��������������������
1971 ��������������������
1972 ��������������������
1973 ��������������������
1974 ��������������������
1975 ��������������������
1976 ��������������������
1977 ��������������������
1978 ��������������������
1979 ��������������������
1980 ��������������������
1981 ��������������������
1982 ��������������������
1983 ��������������������
1984 ��������������������
1985 ��������������������
1986 ��������������������
1987 ��������������������
1988 ��������������������
1989 ��������������������
1990 ��������������������
1991 ��������������������
1992 ��������������������
1993 ��������������������
1994 ��������������������
1995 ��������������������
1996 ��������������������
1997 ��������������������
1998 ��������������������
1999 ��������������������
2000 ��������������������
2001 ��������������������
2002 ��������������������
2003 ��������������������
2004 ��������������������
2005 ��������������������
2006 ��������������������
2007 ��������������������
2008 ��������������������
2009 ��������������������
2010 p ������������������
2007: I ����������������
      II ���������������
      III ��������������
      IV ��������������
2008: I ����������������
      II ���������������
      III ��������������
      IV ��������������
2009: I ����������������
      II ���������������
      III ��������������
      IV ��������������
2010: I ����������������
      II ���������������
      III ��������������
      IV p �����������

125.2
132.3
144.2
160.0
174.9
175.1
186.4
201.3
199.7
220.2
246.2
300.2
311.6
313.2
365.4
417.9
502.4
580.2
588.0
682.6
626.2
652.1
784.9
780.7
777.1
815.1
892.0
980.3
1,001.8
1,031.0
1,042.3
1,094.2
1,203.5
1,271.6
1,370.3
1,511.7
1,569.1
1,637.0
1,666.2
1,592.3
1,538.9
1,569.4
1,716.3
1,823.7
1,953.8
2,034.8
1,921.8
1,712.9
������������
1,927.0
2,016.9
2,090.6
2,104.5
1,982.9
1,953.8
1,926.8
1,823.6
1,753.8
1,693.3
1,666.9
1,737.6
1,785.7
1,855.0
1,912.4
������������

Total

121.4
127.4
136.7
153.8
171.1
171.6
184.8
199.7
196.0
219.9
250.2
291.3
305.7
293.3
358.4
428.8
515.0
581.4
579.5
679.3
629.5
687.2
875.0
895.0
919.7
969.2
1,007.7
1,072.6
1,076.7
1,023.2
1,087.9
1,172.8
1,318.2
1,376.6
1,484.4
1,641.0
1,773.6
1,928.9
2,076.5
1,984.0
1,990.4
2,085.5
2,340.9
2,564.2
2,752.2
2,751.7
2,592.2
2,092.6
2,332.9
2,721.2
2,784.7
2,773.6
2,727.2
2,671.4
2,665.6
2,617.6
2,414.3
2,138.6
2,036.5
2,057.0
2,138.2
2,230.7
2,347.4
2,426.4
2,326.9

Net
Capital lending
acGross Gross
or
net
count
private
trans- borrowdomes- governing
ment
actions
tic
(–),
4
invest- invest3 (net)
NIPA 2, 5
ment ment
88.1
93.8
102.1
118.2
131.3
128.6
141.2
156.4
152.4
178.2
207.6
244.5
249.4
230.2
292.0
361.3
438.0
492.9
479.3
572.4
517.2
564.3
735.6
736.2
746.5
785.0
821.6
874.9
861.0
802.9
864.8
953.3
1,097.3
1,144.0
1,240.2
1,388.7
1,510.8
1,641.5
1,772.2
1,661.9
1,647.0
1,729.7
1,968.6
2,172.2
2,327.2
2,295.2
2,096.7
1,589.2
1,821.4
2,277.4
2,329.6
2,313.4
2,260.4
2,198.8
2,170.9
2,111.3
1,905.8
1,640.4
1,530.2
1,548.5
1,637.7
1,739.7
1,841.8
1,907.2
1,796.7

33.3
33.6
34.6
35.6
39.8
43.0
43.6
43.3
43.6
41.8
42.6
46.8
56.3
63.1
66.4
67.5
77.1
88.5
100.3
106.9
112.3
122.9
139.4
158.8
173.2
184.3
186.1
197.7
215.7
220.3
223.1
219.4
220.9
232.6
244.2
252.4
262.9
287.4
304.3
322.0
343.5
355.8
372.4
392.0
425.1
456.5
495.5
503.4
511.5
443.8
455.0
460.2
466.8
472.6
494.7
506.2
508.5
498.2
506.3
508.5
500.5
491.0
505.6
519.3
530.2

Addenda:
Statistical
discrepancy

Gross government saving
Gross
private
saving

Total

Federal

State
and
local

Gross
Net
Net
saving saving
domes- as a
as a
tic
percent percent
invest- of gross of gross
ment national national
income income

�����������
3.8
0.3
100.8
24.1
13.9
10.3
60.9
21.2
10.9
�����������
4.9
–.8
104.7
28.4
17.4
11.1
64.1
21.4
11.2
�����������
7.5
.8
118.0
25.4
13.2
12.1
70.3
21.5
11.5
�����������
6.2
1.5
129.8
28.6
15.9
12.8
83.1
21.9
12.1
�����������
3.8
6.2
138.7
30.0
15.3
14.6
94.6
21.5
11.7
�����������
3.5
4.5
151.5
19.1
4.5
14.5
88.6
20.5
10.5
�����������
1.5
4.3
154.0
28.0
12.2
15.8
94.4
20.0
10.1
0.0
1.6
2.9
157.2
41.2
23.9
17.3 100.5
20.1
10.0
.0
3.7
6.9
174.6
18.2
.6
17.7
87.6
18.6
8.1
.0
.3
11.0
203.2
6.0
–12.2
18.3 102.2
18.6
8.1
.0
–4.1
8.9
217.1
20.2
–8.3
28.5 123.1
19.2
8.9
.0
8.8
8.0
257.0
35.2
5.2
30.0 150.6
21.1
10.9
.0
5.9
9.8
271.1
30.7
3.7
27.0 142.0
20.1
9.2
.1
19.8
16.3
325.1
–28.2
–50.9
22.7 102.9
18.2
6.5
.1
7.0
23.5
345.6
–3.7
–32.3
28.6 150.2
18.8
7.4
.1
–11.0
21.2
384.1
12.6
–23.1
35.7 197.1
19.6
8.1
.1
–12.7
26.1
437.1
39.2
–3.9
43.2 253.6
20.8
9.4
.1
–1.3
47.0
479.7
53.5
13.0
40.5 282.4
20.9
9.2
.1
8.4
45.3
528.8
14.0
–26.6
40.6 235.4
19.5
7.2
.1
3.2
36.6
625.2
20.9
–23.0
43.8 285.9
20.7
8.1
.1
–3.4
4.8
681.9
–60.4
–97.7
37.3 196.0
18.9
5.7
.1
–35.2
49.7
692.2
–89.8 –135.6
45.8 236.0
17.1
4.3
.1
–90.2
31.5
814.0
–60.6 –126.9
66.3 400.6
19.1
7.1
.1
–114.5
42.3
802.0
–63.6 –130.6
67.0 389.5
17.6
5.5
.1
–142.8
67.7
783.8
–74.5 –143.0
68.6 381.3
16.1
3.9
.1
–154.2
32.9
813.0
–30.8
–94.2
63.4 398.1
16.6
4.5
.1
–115.9
–9.5
908.8
–7.3
–79.3
72.0 396.7
17.6
5.7
.3
–92.7
56.1
916.1
8.0
–70.6
78.7 421.2
17.0
5.0
7.4
–82.3
84.2
957.1
–39.5 –108.7
69.2 385.5
16.0
3.9
5.3
2.6
79.7 1,036.6
–85.3 –146.4
61.1 298.8
16.0
3.8
–1.3
–44.3 110.0 1,091.7 –159.4 –227.9
68.5 343.5
14.9
3.0
.9
–79.4 135.8 1,088.0 –129.5 –202.4
72.9 394.8
14.6
2.7
1.3
–116.0 108.8 1,148.6
–53.9 –140.3
86.4 499.0
15.6
3.9
.4
–105.5
52.5 1,251.2
–32.2 –124.5
92.3 507.2
16.5
4.7
.2
–114.4
25.9 1,300.5
43.9
–66.3 110.2 571.9
17.1
5.5
.5
–129.8 –14.0 1,375.4
150.3
22.4 127.9 677.2
18.2
6.7
.2
–204.8 –85.3 1,394.9
259.5
116.4 143.1 753.1
18.6
7.1
4.5
–296.4 –71.1 1,380.3
327.8
183.9 143.9 834.5
18.1
6.5
.3
–410.7 –134.0 1,376.2
424.0
273.0 151.0 892.2
17.8
6.1
–12.9
–378.7 –103.4 1,466.5
229.2
129.1 100.1 727.7
16.2
4.2
.5
–452.1 –22.1 1,656.8
–95.9 –163.6
67.7 685.4
14.6
2.4
2.1
–518.2
16.6 1,749.8 –197.1 –285.5
88.4 731.4
13.9
1.8
–2.8
–621.8
–7.8 1,880.1 –155.9 –284.6 128.7 908.2
14.4
2.4
–12.9
–727.7 –79.7 1,909.9
–6.5 –182.6 176.1 1,022.9
14.9
2.8
2.1
–800.5 –220.6 2,057.9
116.5
–97.2 213.8 1,091.6
15.9
3.8
–.1
–716.8
21.1 1,955.3
58.3 –132.6 190.9 984.2
14.2
1.7
–5.4
–665.0 136.6 2,136.5 –351.3 –496.5 145.1 743.0
12.4
–.4
.6
–380.3 179.1 2,480.3 –946.6 –1,127.4 180.8 231.5
10.9
–2.3
����������� ��������������� ����������� ������������ �������������� �������������� �����������
464.2 ������������� ��������������
.3
–794.4 –135.6 1,950.1
112.6
–91.1 203.7 987.3
14.7
2.3
–1.5
–766.3 –30.9 1,966.4
81.4 –125.4 206.8 1,027.0
14.5
2.1
.5
–683.5 117.6 1,934.7
38.2 –152.0 190.2 995.4
13.9
1.4
.4
–623.0 133.4 1,970.0
1.1 –161.8 162.9 926.9
13.7
1.2
.4
–688.9
77.9 2,007.5 –102.4 –260.1 157.8 856.6
13.2
.6
.4
–712.2 189.0 2,250.8 –486.0 –642.6 156.6 827.2
12.2
–.5
–23.8
–666.9 138.7 2,184.5 –396.5 –525.7 129.2 753.5
12.3
–.5
1.4
–592.0 140.7 2,103.4 –420.5 –557.5 137.1 534.7
11.9
–1.4
.5
–385.2 140.4 2,333.9 –720.4 –880.1 159.7 257.0
11.5
–1.9
.5
–343.8 172.2 2,566.5 –1,045.4 –1,213.0 167.6 174.2
10.9
–2.4
.6
–390.7 228.9 2,488.7 –1,050.7 –1,232.0 181.3 208.7
10.2
–2.9
.7
–401.3 175.2 2,532.1 –969.7 –1,184.4 214.7 286.0
11.0
–2.0
.4
–445.4 164.2 2,577.5 –956.0 –1,186.9 230.9 378.3
11.2
–1.6
.5
–493.0 131.1 2,711.7 –987.8 –1,207.8 220.0 487.1
11.8
–.9
.6
–514.6 184.1 2,688.5 –960.2 –1,214.0 253.9 554.5
11.7
–1.0
����������� ��������������� ����������� ������������ �������������� �������������� �����������
437.0 ������������� ��������������

2 National income and product accounts (NIPA).
3 For details on government investment, see Table B–20.
4 Consists of capital transfers and the acquisition and disposal of nonproduced nonfinancial assets.
5 Prior to 1982, equals the balance on current account, NIPA (see Table B–24).

Source: Department of Commerce (Bureau of Economic Analysis).

National Income or Expenditure | 229

Table B–33. Median money income (in 2009 dollars) and poverty status of families and
people, by race, selected years, 1998–2009
Families 1

People below
poverty level

Below poverty level

Race and year

Number
(millions)

ALL RACES
1998 ���������������������������������������
1999 3 �������������������������������������
2000 4 �������������������������������������
2001 ���������������������������������������
2002 ���������������������������������������
2003 ���������������������������������������
2004 5 �������������������������������������
2005 ���������������������������������������
2006 ���������������������������������������
2007 ���������������������������������������
2008 ���������������������������������������
2009 ���������������������������������������
WHITE
1998 ���������������������������������������
1999 3 �������������������������������������
2000 4 �������������������������������������
2001 ���������������������������������������
Alone 6
2002 ���������������������������������������
2003 ���������������������������������������
2004 5 �������������������������������������
2005 ���������������������������������������
2006 ���������������������������������������
2007 ���������������������������������������
2008 ���������������������������������������
2009 ���������������������������������������
Alone or in combination 6
2002 ���������������������������������������
2003 ���������������������������������������
2004 5 �������������������������������������
2005 ���������������������������������������
2006 ���������������������������������������
2007 ���������������������������������������
2008 ���������������������������������������
2009 ���������������������������������������
BLACK
1998 ���������������������������������������
1999 3 �������������������������������������
2000 4 �������������������������������������
2001 ���������������������������������������
Alone 6
2002 ���������������������������������������
2003 ���������������������������������������
2004 5 �������������������������������������
2005 ���������������������������������������
2006 ���������������������������������������
2007 ���������������������������������������
2008 ���������������������������������������
2009 ���������������������������������������
Alone or in combination 6
2002 ���������������������������������������
2003 ���������������������������������������
2004 5 �������������������������������������
2005 ���������������������������������������
2006 ���������������������������������������
2007 ���������������������������������������
2008 ���������������������������������������
2009 ���������������������������������������

Median
money
Female
Total
income
householder
(in
Number
2009
(milPercent
Number
Number
dollions)
(milPercent
(milPercent
2
lars)
lions)
lions)

Median money income (in 2009 dollars)
of people 15 years old and over
with income 2
Males
All
people

Yearround
full-time
workers

Females
All
people

Yearround
full-time
workers

71.6 $61,419
73.2 62,860
73.8 63,189
74.3 62,282
75.6 61,617
76.2 61,437
76.9 61,389
77.4 61,741
78.5 62,135
77.9 63,471
78.9 61,288
78.9 60,088

7.2
6.8
6.4
6.8
7.2
7.6
7.8
7.7
7.7
7.6
8.1
8.8

10.0
9.3
8.7
9.2
9.6
10.0
10.2
9.9
9.8
9.8
10.3
11.1

3.8
3.6
3.3
3.5
3.6
3.9
4.0
4.0
4.1
4.1
4.2
4.4

29.9
27.8
25.4
26.4
26.5
28.0
28.3
28.7
28.3
28.3
28.7
29.9

34.5
32.8
31.6
32.9
34.6
35.9
37.0
37.0
36.5
37.3
39.8
43.6

12.7 $34,814 $47,640 $18,963
11.9 35,134 48,209 19,701
11.3 35,303 48,441 20,007
11.7 35,257 48,626 20,129
12.1 34,860 48,296 20,045
12.5 34,907 48,402 20,128
12.7 34,652 47,315 20,062
12.6 34,362 46,352 20,410
12.3 34,324 47,828 21,291
12.5 34,341 47,818 21,643
13.2 33,035 47,598 20,788
14.3 32,184 49,164 20,957

$35,291
35,228
36,274
36,855
36,925
36,915
36,469
36,539
37,222
37,414
36,549
37,234

60.1
61.1
61.3
61.6

64,423
65,754
66,050
65,504

4.8
4.4
4.3
4.6

8.0
7.3
7.1
7.4

2.1
1.9
1.8
1.9

24.9
22.5
21.2
22.4

23.5
22.2
21.6
22.7

10.5
9.8
9.5
9.9

36,331
36,899
37,114
36,637

48,881
50,477
50,137
49,419

19,209
19,762
20,027
20,175

35,881
36,044
37,306
37,375

62.3
62.6
63.1
63.4
64.1
63.6
64.2
64.1

65,138
65,039
64,411
65,172
65,191
66,649
64,753
62,545

4.9
5.1
5.3
5.1
5.1
5.0
5.4
6.0

7.8
8.1
8.4
8.0
8.0
7.9
8.4
9.3

2.0
2.2
2.3
2.3
2.4
2.3
2.4
2.7

22.6
24.0
24.7
25.3
25.1
24.7
25.2
27.3

23.5
24.3
25.3
24.9
24.4
25.1
27.0
29.8

10.2
10.5
10.8
10.6
10.3
10.5
11.2
12.3

36,225
35,841
35,594
35,355
36,003
36,353
34,987
33,748

49,331
49,147
48,370
48,009
48,865
48,864
49,735
50,361

20,076
20,318
20,098
20,512
21,364
21,796
20,870
21,118

37,438
37,543
37,168
37,466
37,793
37,994
37,069
37,951

63.0
63.5
64.0
64.3
65.0
64.4
65.0
65.0

64,918
64,847
64,255
64,960
65,104
66,449
64,558
62,432

5.0
5.2
5.4
5.2
5.2
5.2
5.5
6.1

7.9
8.1
8.5
8.1
8.0
8.0
8.5
9.4

2.1
2.2
2.3
2.4
2.4
2.4
2.4
2.8

22.6
24.2
24.8
25.5
25.0
24.8
25.4
27.5

24.1
25.0
26.1
25.6
25.2
25.9
27.9
30.9

10.3
10.6
10.9
10.7
10.4
10.6
11.3
12.5

36,145
35,754
35,515
35,272
35,822
36,239
34,880
33,565

49,260
49,074
48,245
47,839
48,796
48,794
49,566
50,316

20,036
20,282
20,064
20,457
21,318
21,736
20,842
21,080

37,423
37,529
37,124
37,388
37,755
37,959
37,036
37,912

8.5
8.7
8.7
8.8

38,641
41,000
41,945
40,705

2.0
1.9
1.7
1.8

23.4
21.8
19.3
20.7

1.6
1.5
1.3
1.4

40.8
39.2
34.3
35.2

9.1
8.4
8.0
8.1

26.1
23.6
22.5
22.7

25,391
26,314
26,584
26,007

36,102
38,817
37,976
38,674

17,264
19,021
19,781
19,726

31,361
32,364
32,073
33,071

8.9
8.9
8.9
9.1
9.3
9.3
9.4
9.4

39,971
40,082
39,912
38,965
40,712
41,527
39,728
38,409

1.9
2.0
2.0
2.0
2.0
2.0
2.1
2.1

21.5
22.3
22.8
22.1
21.6
22.1
22.0
22.7

1.4
1.5
1.5
1.5
1.5
1.5
1.5
1.5

35.8
36.9
37.6
36.1
36.6
37.3
37.2
36.7

8.6
8.8
9.0
9.2
9.0
9.2
9.4
9.9

24.1
24.4
24.7
24.9
24.3
24.5
24.7
25.8

25,707
25,641
25,766
24,889
26,664
26,712
25,158
23,738

38,072
38,986
36,019
37,612
37,741
38,003
38,465
39,362

19,946
19,337
19,712
19,371
20,322
20,433
20,120
19,470

32,937
32,214
33,095
33,360
32,911
32,680
32,064
32,470

9.1
9.1
9.1
9.3
9.5
9.5
9.6
9.7

40,101
40,360
40,109
39,107
40,979
41,609
39,784
38,493

2.0
2.0
2.1
2.1
2.0
2.1
2.1
2.2

21.4
22.1
22.8
22.0
21.5
22.0
21.9
22.7

1.5
1.5
1.5
1.5
1.5
1.6
1.6
1.6

35.7
36.8
37.6
36.2
36.4
37.2
37.1
36.8

8.9
9.1
9.4
9.5
9.4
9.7
9.9
10.6

23.9
24.3
24.7
24.7
24.2
24.4
24.6
25.9

25,645
25,581
25,792
24,841
26,676
26,681
25,023
23,674

38,112
39,027
36,009
37,514
37,777
38,048
38,219
39,280

19,876
19,290
19,698
19,332
20,282
20,392
20,126
19,413

33,030
32,276
33,150
33,363
32,962
32,764
32,082
32,723

1 The term “family” refers to a group of two or more persons related by birth, marriage, or adoption and residing together. Every family must include a
reference person.
2 Current dollar median money income adjusted by consumer price index research series (CPI-U-RS).
3 Reflects implementation of Census 2000–based population controls comparable with succeeding years.
4 Reflects household sample expansion.
5 For 2004, figures are revised to reflect a correction to the weights in the 2005 Annual Social and Economic Supplement.
6 Data are for “white alone,” for “white alone or in combination,” for “black alone,” and for “black alone or in combination.” (“Black” is also “black
or African American.”) Beginning with data for 2002 the Current Population Survey allowed respondents to choose more than one race; for earlier years
respondents could report only one race group.
Note: Poverty thresholds are updated each year to reflect changes in the consumer price index (CPI-U).
For details see publication Series P–60 on the Current Population Survey and Annual Social and Economic Supplements.
Source: Department of Commerce (Bureau of the Census).

230 |

Appendix B

Population, Employment, Wages, and Productivity
Table B–34. Population by age group, 1933–2010
[Thousands of persons]
Age (years)
July 1 1
1933 ����������������������
1939 ����������������������
1940 ����������������������
1941 ����������������������
1942 ����������������������
1943 ����������������������
1944 ����������������������
1945 ����������������������
1946 ����������������������
1947 ����������������������
1948 ����������������������
1949 ����������������������
1950 ����������������������
1951 ����������������������
1952 ����������������������
1953 ����������������������
1954 ����������������������
1955 ����������������������
1956 ����������������������
1957 ����������������������
1958 ����������������������
1959 ����������������������
1960 ����������������������
1961 ����������������������
1962 ����������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 2 ��������������������
2001 2 ��������������������
2002 2 ��������������������
2003 2 ��������������������
2004 2 ��������������������
2005 2 ��������������������
2006 2 ��������������������
2007 2 ��������������������
2008 2 ��������������������
2009 2 ��������������������
2010 1 ��������������������

Total

Under 5

5–15

16–19

20–24

25–44

45–64

65 and over

125,579
10,612
26,897
9,302
11,152
37,319
22,933
7,363
130,880
10,418
25,179
9,822
11,519
39,354
25,823
8,764
132,122
10,579
24,811
9,895
11,690
39,868
26,249
9,031
133,402
10,850
24,516
9,840
11,807
40,383
26,718
9,288
134,860
11,301
24,231
9,730
11,955
40,861
27,196
9,584
136,739
12,016
24,093
9,607
12,064
41,420
27,671
9,867
138,397
12,524
23,949
9,561
12,062
42,016
28,138
10,147
139,928
12,979
23,907
9,361
12,036
42,521
28,630
10,494
141,389
13,244
24,103
9,119
12,004
43,027
29,064
10,828
144,126
14,406
24,468
9,097
11,814
43,657
29,498
11,185
146,631
14,919
25,209
8,952
11,794
44,288
29,931
11,538
149,188
15,607
25,852
8,788
11,700
44,916
30,405
11,921
152,271
16,410
26,721
8,542
11,680
45,672
30,849
12,397
154,878
17,333
27,279
8,446
11,552
46,103
31,362
12,803
157,553
17,312
28,894
8,414
11,350
46,495
31,884
13,203
160,184
17,638
30,227
8,460
11,062
46,786
32,394
13,617
163,026
18,057
31,480
8,637
10,832
47,001
32,942
14,076
165,931
18,566
32,682
8,744
10,714
47,194
33,506
14,525
168,903
19,003
33,994
8,916
10,616
47,379
34,057
14,938
171,984
19,494
35,272
9,195
10,603
47,440
34,591
15,388
174,882
19,887
36,445
9,543
10,756
47,337
35,109
15,806
177,830
20,175
37,368
10,215
10,969
47,192
35,663
16,248
180,671
20,341
38,494
10,683
11,134
47,140
36,203
16,675
183,691
20,522
39,765
11,025
11,483
47,084
36,722
17,089
186,538
20,469
41,205
11,180
11,959
47,013
37,255
17,457
189,242
20,342
41,626
12,007
12,714
46,994
37,782
17,778
191,889
20,165
42,297
12,736
13,269
46,958
38,338
18,127
194,303
19,824
42,938
13,516
13,746
46,912
38,916
18,451
196,560
19,208
43,702
14,311
14,050
47,001
39,534
18,755
198,712
18,563
44,244
14,200
15,248
47,194
40,193
19,071
200,706
17,913
44,622
14,452
15,786
47,721
40,846
19,365
202,677
17,376
44,840
14,800
16,480
48,064
41,437
19,680
205,052
17,166
44,816
15,289
17,202
48,473
41,999
20,107
207,661
17,244
44,591
15,688
18,159
48,936
42,482
20,561
209,896
17,101
44,203
16,039
18,153
50,482
42,898
21,020
211,909
16,851
43,582
16,446
18,521
51,749
43,235
21,525
213,854
16,487
42,989
16,769
18,975
53,051
43,522
22,061
215,973
16,121
42,508
17,017
19,527
54,302
43,801
22,696
218,035
15,617
42,099
17,194
19,986
55,852
44,008
23,278
220,239
15,564
41,298
17,276
20,499
57,561
44,150
23,892
222,585
15,735
40,428
17,288
20,946
59,400
44,286
24,502
225,055
16,063
39,552
17,242
21,297
61,379
44,390
25,134
227,726
16,451
38,838
17,167
21,590
63,470
44,504
25,707
229,966
16,893
38,144
16,812
21,869
65,528
44,500
26,221
232,188
17,228
37,784
16,332
21,902
67,692
44,462
26,787
234,307
17,547
37,526
15,823
21,844
69,733
44,474
27,361
236,348
17,695
37,461
15,295
21,737
71,735
44,547
27,878
238,466
17,842
37,450
15,005
21,478
73,673
44,602
28,416
240,651
17,963
37,404
15,024
20,942
75,651
44,660
29,008
242,804
18,052
37,333
15,215
20,385
77,338
44,854
29,626
245,021
18,195
37,593
15,198
19,846
78,595
45,471
30,124
247,342
18,508
37,972
14,913
19,442
79,943
45,882
30,682
250,132
18,856
38,632
14,466
19,323
81,291
46,316
31,247
253,493
19,208
39,349
13,992
19,414
82,844
46,874
31,812
256,894
19,528
40,161
13,781
19,314
83,201
48,553
32,356
260,255
19,729
40,904
13,953
19,101
83,766
49,899
32,902
263,436
19,777
41,689
14,228
18,758
84,334
51,318
33,331
266,557
19,627
42,510
14,522
18,391
84,933
52,806
33,769
269,667
19,408
43,172
15,057
17,965
85,527
54,396
34,143
272,912
19,233
43,833
15,433
17,992
85,737
56,283
34,402
276,115
19,145
44,332
15,856
18,250
85,663
58,249
34,619
279,295
19,136
44,755
16,164
18,672
85,408
60,362
34,798
282,385
19,204
45,158
16,227
19,188
85,126
62,408
35,074
285,309
19,430
45,204
16,316
19,875
84,781
64,381
35,320
288,105
19,668
45,168
16,402
20,418
84,383
66,496
35,571
290,820
19,940
45,105
16,467
20,863
83,979
68,543
35,923
293,463
20,243
44,981
16,618
21,109
83,698
70,551
36,263
296,186
20,484
44,858
16,749
21,231
83,503
72,659
36,704
298,996
20,613
44,734
17,057
21,302
83,452
74,632
37,206
302,004
20,921
44,642
17,309
21,367
83,462
76,435
37,867
304,798
21,153
44,625
17,435
21,468
83,441
77,876
38,800
307,439
21,300
44,717
17,418
21,682
83,350
79,402
39,571
308,746 ������������������������ ������������������������ ������������������������ ������������������������ ������������������������ ������������������������ ��������������������������

1 Data for 2010 are as of April 1, 2010, reflect the results of the 2010 Census, and do not include Armed Forces overseas.
2 Data are based on Census 2000 and do not reflect the results of the 2010 Census.

Note: Includes Armed Forces overseas beginning with 1940. Includes Alaska and Hawaii beginning with 1950.
All estimates are consistent with decennial census enumerations.
Source: Department of Commerce (Bureau of the Census).

Population, Employment, Wages, and Productivity

| 231

Table B–35. Civilian population and labor force, 1929–2010
[Monthly data seasonally adjusted, except as noted]
Civilian labor force
Year or month

Civilian
noninstitutional
population 1

Employment
Total

Total

NonAgricultural agricultural

Unemployment

Not in
labor
force

Civilian
labor force
participation rate 2

Thousands of persons 14 years of age and over
1929 ���������������������� ��������������������
1933 ���������������������� ��������������������
1939 ���������������������� ��������������������
1940 ����������������������
99,840
1941 ����������������������
99,900
1942 ����������������������
98,640
1943 ����������������������
94,640
1944 ����������������������
93,220
1945 ����������������������
94,090
1946 ����������������������
103,070
1947 ����������������������
106,018

49,180
51,590
55,230
55,640
55,910
56,410
55,540
54,630
53,860
57,520
60,168

47,630
38,760
45,750
47,520
50,350
53,750
54,470
53,960
52,820
55,250
57,812

10,450
10,090
9,610
9,540
9,100
9,250
9,080
8,950
8,580
8,320
8,256

37,180
28,670
36,140
37,980
41,250
44,500
45,390
45,010
44,240
46,930
49,557

Civilian
employment/
population
ratio 3

Unemployment
rate,
civilian
workers 4

Percent
1,550 ������������������ ������������������� �������������������
12,830 ������������������ ������������������� �������������������
9,480 ������������������ ������������������� �������������������
8,120
44,200
55.7
47.6
5,560
43,990
56.0
50.4
2,660
42,230
57.2
54.5
1,070
39,100
58.7
57.6
670
38,590
58.6
57.9
1,040
40,230
57.2
56.1
2,270
45,550
55.8
53.6
2,356
45,850
56.8
54.5

3.2
24.9
17.2
14.6
9.9
4.7
1.9
1.2
1.9
3.9
3.9

Thousands of persons 16 years of age and over
1947 ����������������������
1948 ����������������������
1949 ����������������������
1950 ����������������������
1951 ����������������������
1952 ����������������������
1953 5 ��������������������
1954 ����������������������
1955 ����������������������
1956 ����������������������
1957 ����������������������
1958 ����������������������
1959 ����������������������
1960 5 ��������������������
1961 ����������������������
1962 5 ��������������������
1963 ����������������������
1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 5 ��������������������
1973 5 ��������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 5 ��������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 5 ��������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 5 ��������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 5 ��������������������
1995 ����������������������
1996 ����������������������
1997 5 ��������������������
1998 5 ��������������������
1999 5 ��������������������

101,827
103,068
103,994
104,995
104,621
105,231
107,056
108,321
109,683
110,954
112,265
113,727
115,329
117,245
118,771
120,153
122,416
124,485
126,513
128,058
129,874
132,028
134,335
137,085
140,216
144,126
147,096
150,120
153,153
156,150
159,033
161,910
164,863
167,745
170,130
172,271
174,215
176,383
178,206
180,587
182,753
184,613
186,393
189,164
190,925
192,805
194,838
196,814
198,584
200,591
203,133
205,220
207,753

59,350
60,621
61,286
62,208
62,017
62,138
63,015
63,643
65,023
66,552
66,929
67,639
68,369
69,628
70,459
70,614
71,833
73,091
74,455
75,770
77,347
78,737
80,734
82,771
84,382
87,034
89,429
91,949
93,775
96,158
99,009
102,251
104,962
106,940
108,670
110,204
111,550
113,544
115,461
117,834
119,865
121,669
123,869
125,840
126,346
128,105
129,200
131,056
132,304
133,943
136,297
137,673
139,368

57,038
58,343
57,651
58,918
59,961
60,250
61,179
60,109
62,170
63,799
64,071
63,036
64,630
65,778
65,746
66,702
67,762
69,305
71,088
72,895
74,372
75,920
77,902
78,678
79,367
82,153
85,064
86,794
85,846
88,752
92,017
96,048
98,824
99,303
100,397
99,526
100,834
105,005
107,150
109,597
112,440
114,968
117,342
118,793
117,718
118,492
120,259
123,060
124,900
126,708
129,558
131,463
133,488

7,890
7,629
7,658
7,160
6,726
6,500
6,260
6,205
6,450
6,283
5,947
5,586
5,565
5,458
5,200
4,944
4,687
4,523
4,361
3,979
3,844
3,817
3,606
3,463
3,394
3,484
3,470
3,515
3,408
3,331
3,283
3,387
3,347
3,364
3,368
3,401
3,383
3,321
3,179
3,163
3,208
3,169
3,199
3,223
3,269
3,247
3,115
3,409
3,440
3,443
3,399
3,378
3,281

1 Not seasonally adjusted.
2 Civilian labor force as percent of civilian noninstitutional population.
3 Civilian employment as percent of civilian noninstitutional population.
4 Unemployed as percent of civilian labor force.

See next page for continuation of table.

232 |

Appendix B

49,148
50,714
49,993
51,758
53,235
53,749
54,919
53,904
55,722
57,514
58,123
57,450
59,065
60,318
60,546
61,759
63,076
64,782
66,726
68,915
70,527
72,103
74,296
75,215
75,972
78,669
81,594
83,279
82,438
85,421
88,734
92,661
95,477
95,938
97,030
96,125
97,450
101,685
103,971
106,434
109,232
111,800
114,142
115,570
114,449
115,245
117,144
119,651
121,460
123,264
126,159
128,085
130,207

2,311
2,276
3,637
3,288
2,055
1,883
1,834
3,532
2,852
2,750
2,859
4,602
3,740
3,852
4,714
3,911
4,070
3,786
3,366
2,875
2,975
2,817
2,832
4,093
5,016
4,882
4,365
5,156
7,929
7,406
6,991
6,202
6,137
7,637
8,273
10,678
10,717
8,539
8,312
8,237
7,425
6,701
6,528
7,047
8,628
9,613
8,940
7,996
7,404
7,236
6,739
6,210
5,880

42,477
42,447
42,708
42,787
42,604
43,093
44,041
44,678
44,660
44,402
45,336
46,088
46,960
47,617
48,312
49,539
50,583
51,394
52,058
52,288
52,527
53,291
53,602
54,315
55,834
57,091
57,667
58,171
59,377
59,991
60,025
59,659
59,900
60,806
61,460
62,067
62,665
62,839
62,744
62,752
62,888
62,944
62,523
63,324
64,578
64,700
65,638
65,758
66,280
66,647
66,837
67,547
68,385

58.3
58.8
58.9
59.2
59.2
59.0
58.9
58.8
59.3
60.0
59.6
59.5
59.3
59.4
59.3
58.8
58.7
58.7
58.9
59.2
59.6
59.6
60.1
60.4
60.2
60.4
60.8
61.3
61.2
61.6
62.3
63.2
63.7
63.8
63.9
64.0
64.0
64.4
64.8
65.3
65.6
65.9
66.5
66.5
66.2
66.4
66.3
66.6
66.6
66.8
67.1
67.1
67.1

56.0
56.6
55.4
56.1
57.3
57.3
57.1
55.5
56.7
57.5
57.1
55.4
56.0
56.1
55.4
55.5
55.4
55.7
56.2
56.9
57.3
57.5
58.0
57.4
56.6
57.0
57.8
57.8
56.1
56.8
57.9
59.3
59.9
59.2
59.0
57.8
57.9
59.5
60.1
60.7
61.5
62.3
63.0
62.8
61.7
61.5
61.7
62.5
62.9
63.2
63.8
64.1
64.3

3.9
3.8
5.9
5.3
3.3
3.0
2.9
5.5
4.4
4.1
4.3
6.8
5.5
5.5
6.7
5.5
5.7
5.2
4.5
3.8
3.8
3.6
3.5
4.9
5.9
5.6
4.9
5.6
8.5
7.7
7.1
6.1
5.8
7.1
7.6
9.7
9.6
7.5
7.2
7.0
6.2
5.5
5.3
5.6
6.8
7.5
6.9
6.1
5.6
5.4
4.9
4.5
4.2

Table B–35. Civilian population and labor force, 1929–2010—Continued
[Monthly data seasonally adjusted, except as noted]
Civilian labor force
Year or month

Civilian
noninstitutional
population 1

Employment
Total

Total

NonAgricultural agricultural

Unemployment

Not in
labor
force

Civilian
labor force
participation rate 2

Thousands of persons 16 years of age and over
2000 5, 6 ����������������
2001 ����������������������
2002 ����������������������
2003 5 ��������������������
2004 5 ��������������������
2005 5 ��������������������
2006 5 ��������������������
2007 5 ��������������������
2008 5 ��������������������
2009 5 ��������������������
2010 5 ��������������������
2007: Jan 5 �����������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2008: Jan 5 �����������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2009: Jan 5 �����������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan 5 �����������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

212,577
215,092
217,570
221,168
223,357
226,082
228,815
231,867
233,788
235,801
237,830
230,650
230,834
231,034
231,253
231,480
231,713
231,958
232,211
232,461
232,715
232,939
233,156
232,616
232,809
232,995
233,198
233,405
233,627
233,864
234,107
234,360
234,612
234,828
235,035
234,739
234,913
235,086
235,271
235,452
235,655
235,870
236,087
236,322
236,550
236,743
236,924
236,832
236,998
237,159
237,329
237,499
237,690
237,890
238,099
238,322
238,530
238,715
238,889

142,583
143,734
144,863
146,510
147,401
149,320
151,428
153,124
154,287
154,142
153,889
153,133
152,966
153,054
152,446
152,666
153,038
153,035
152,756
153,422
153,209
153,845
153,936
154,060
153,624
153,924
153,779
154,322
154,315
154,432
154,656
154,613
154,953
154,621
154,669
154,185
154,424
154,100
154,453
154,805
154,754
154,457
154,362
153,940
154,022
153,795
153,172
153,353
153,558
153,895
154,520
154,237
153,684
153,628
154,117
154,124
153,960
153,950
153,690

136,891
136,933
136,485
137,736
139,252
141,730
144,427
146,047
145,362
139,877
139,064
146,033
146,066
146,334
145,610
145,901
146,058
145,886
145,670
146,231
145,937
146,584
146,272
146,407
146,183
146,143
146,173
145,925
145,725
145,479
145,167
145,056
144,778
144,068
143,324
142,201
141,687
140,822
140,720
140,292
139,978
139,794
139,409
138,791
138,393
138,590
137,960
138,511
138,698
138,952
139,382
139,353
139,092
138,991
139,267
139,378
139,084
138,909
139,206

2,464
2,299
2,311
2,275
2,232
2,197
2,206
2,095
2,168
2,103
2,206
2,215
2,298
2,179
2,069
2,082
1,947
2,014
1,865
2,091
2,118
2,145
2,218
2,208
2,193
2,176
2,108
2,116
2,122
2,138
2,152
2,232
2,196
2,205
2,203
2,151
2,134
2,034
2,121
2,154
2,149
2,136
2,102
2,038
2,042
2,097
2,079
2,134
2,311
2,212
2,242
2,214
2,118
2,189
2,187
2,172
2,348
2,185
2,176

134,427
134,635
134,174
135,461
137,020
139,532
142,221
143,952
143,194
137,775
136,858
143,750
143,755
144,190
143,423
143,774
144,087
144,005
143,841
144,142
143,908
144,463
144,013
144,136
143,995
144,014
143,965
143,767
143,582
143,387
143,011
142,816
142,669
141,902
141,091
140,010
139,606
138,859
138,568
138,121
137,772
137,590
137,229
136,772
136,424
136,550
135,854
136,391
136,527
136,842
137,134
137,152
136,876
136,599
136,957
137,266
136,797
136,752
137,001

Civilian
employment/
population
ratio 3

Unemployment
rate,
civilian
workers 4

Percent
5,692
6,801
8,378
8,774
8,149
7,591
7,001
7,078
8,924
14,265
14,825
7,100
6,900
6,721
6,836
6,766
6,980
7,149
7,085
7,191
7,272
7,261
7,664
7,653
7,441
7,781
7,606
8,398
8,590
8,953
9,489
9,557
10,176
10,552
11,344
11,984
12,737
13,278
13,734
14,512
14,776
14,663
14,953
15,149
15,628
15,206
15,212
14,842
14,860
14,943
15,138
14,884
14,593
14,637
14,849
14,746
14,876
15,041
14,485

69,994
71,359
72,707
74,658
75,956
76,762
77,387
78,743
79,501
81,659
83,941
77,516
77,868
77,979
78,807
78,814
78,674
78,923
79,455
79,039
79,506
79,094
79,220
78,556
79,185
79,071
79,420
79,083
79,312
79,432
79,450
79,746
79,659
80,207
80,366
80,554
80,489
80,985
80,818
80,647
80,900
81,413
81,725
82,382
82,528
82,947
83,752
83,479
83,440
83,264
82,809
83,262
84,006
84,262
83,983
84,198
84,570
84,765
85,199

67.1
66.8
66.6
66.2
66.0
66.0
66.2
66.0
66.0
65.4
64.7
66.4
66.3
66.2
65.9
66.0
66.0
66.0
65.8
66.0
65.8
66.0
66.0
66.2
66.0
66.1
65.9
66.1
66.1
66.0
66.1
66.0
66.0
65.8
65.8
65.7
65.7
65.6
65.6
65.7
65.7
65.5
65.4
65.1
65.1
65.0
64.7
64.8
64.8
64.9
65.1
64.9
64.7
64.6
64.7
64.7
64.5
64.5
64.3

64.4
63.7
62.7
62.3
62.3
62.7
63.1
63.0
62.2
59.3
58.5
63.3
63.3
63.3
63.0
63.0
63.0
62.9
62.7
62.9
62.7
62.9
62.7
62.9
62.8
62.7
62.7
62.5
62.4
62.2
62.0
61.9
61.7
61.4
61.0
60.6
60.3
59.9
59.8
59.6
59.4
59.3
59.0
58.7
58.5
58.5
58.2
58.5
58.5
58.6
58.7
58.7
58.5
58.4
58.5
58.5
58.3
58.2
58.3

4.0
4.7
5.8
6.0
5.5
5.1
4.6
4.6
5.8
9.3
9.6
4.6
4.5
4.4
4.5
4.4
4.6
4.7
4.6
4.7
4.7
4.7
5.0
5.0
4.8
5.1
4.9
5.4
5.6
5.8
6.1
6.2
6.6
6.8
7.3
7.8
8.2
8.6
8.9
9.4
9.5
9.5
9.7
9.8
10.1
9.9
9.9
9.7
9.7
9.7
9.8
9.6
9.5
9.5
9.6
9.6
9.7
9.8
9.4

5 Not strictly comparable with earlier data due to population adjustments or other changes. See Employment and Earnings or population control adjustments
to the Current Population Survey (CPS) at http://www.bls.gov/cps/documentation.htm#concepts for details on breaks in series.
6 Beginning in 2000, data for agricultural employment are for agricultural and related industries; data for this series and for nonagricultural employment are
not strictly comparable with data for earlier years. Because of independent seasonal adjustment for these two series, monthly data will not add to total civilian
employment.
Note: Labor force data in Tables B–35 through B–44 are based on household interviews and relate to the calendar week including the 12th of the month. For
definitions of terms, area samples used, historical comparability of the data, comparability with other series, etc., see Employment and Earnings or population
control adjustments to the CPS at http://www.bls.gov/cps/documentation.htm#concepts.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 233

Table B–36. Civilian employment and unemployment by sex and age, 1964–2010
[Thousands of persons 16 years of age and over; monthly data seasonally adjusted]
Civilian employment
Males
Year or month

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

Total

69,305
71,088
72,895
74,372
75,920
77,902
78,678
79,367
82,153
85,064
86,794
85,846
88,752
92,017
96,048
98,824
99,303
100,397
99,526
100,834
105,005
107,150
109,597
112,440
114,968
117,342
118,793
117,718
118,492
120,259
123,060
124,900
126,708
129,558
131,463
133,488
136,891
136,933
136,485
137,736
139,252
141,730
144,427
146,047
145,362
139,877
139,064
142,201
141,687
140,822
140,720
140,292
139,978
139,794
139,409
138,791
138,393
138,590
137,960
138,511
138,698
138,952
139,382
139,353
139,092
138,991
139,267
139,378
139,084
138,909
139,206

Total
45,474
46,340
46,919
47,479
48,114
48,818
48,990
49,390
50,896
52,349
53,024
51,857
53,138
54,728
56,479
57,607
57,186
57,397
56,271
56,787
59,091
59,891
60,892
62,107
63,273
64,315
65,104
64,223
64,440
65,349
66,450
67,377
68,207
69,685
70,693
71,446
73,305
73,196
72,903
73,332
74,524
75,973
77,502
78,254
77,486
73,670
73,359
75,239
74,798
74,092
74,002
73,870
73,689
73,540
73,356
73,099
72,864
72,897
72,609
72,667
72,884
73,163
73,526
73,603
73,385
73,466
73,600
73,594
73,470
73,337
73,600

16–19
years
2,587
2,918
3,253
3,186
3,255
3,430
3,409
3,478
3,765
4,039
4,103
3,839
3,947
4,174
4,336
4,300
4,085
3,815
3,379
3,300
3,322
3,328
3,323
3,381
3,492
3,477
3,427
3,044
2,944
2,994
3,156
3,292
3,310
3,401
3,558
3,685
3,671
3,420
3,169
2,917
2,952
2,923
3,071
2,917
2,736
2,328
2,129
2,504
2,475
2,396
2,411
2,412
2,383
2,346
2,302
2,271
2,197
2,125
2,129
2,143
2,177
2,187
2,177
2,153
2,056
2,126
2,095
2,035
2,106
2,206
2,121

20
years
and
over

Total

42,886
43,422
43,668
44,294
44,859
45,388
45,581
45,912
47,130
48,310
48,922
48,018
49,190
50,555
52,143
53,308
53,101
53,582
52,891
53,487
55,769
56,562
57,569
58,726
59,781
60,837
61,678
61,178
61,496
62,355
63,294
64,085
64,897
66,284
67,135
67,761
69,634
69,776
69,734
70,415
71,572
73,050
74,431
75,337
74,750
71,341
71,230
72,735
72,324
71,695
71,590
71,457
71,306
71,193
71,054
70,828
70,667
70,772
70,479
70,525
70,707
70,977
71,348
71,451
71,329
71,340
71,505
71,559
71,365
71,130
71,480

23,831
24,748
25,976
26,893
27,807
29,084
29,688
29,976
31,257
32,715
33,769
33,989
35,615
37,289
39,569
41,217
42,117
43,000
43,256
44,047
45,915
47,259
48,706
50,334
51,696
53,027
53,689
53,496
54,052
54,910
56,610
57,523
58,501
59,873
60,771
62,042
63,586
63,737
63,582
64,404
64,728
65,757
66,925
67,792
67,876
66,208
65,705
66,961
66,889
66,731
66,718
66,423
66,289
66,254
66,053
65,692
65,529
65,693
65,351
65,844
65,813
65,789
65,856
65,750
65,706
65,526
65,667
65,784
65,613
65,572
65,605

Note: See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

234 |

Appendix B

Unemployment
Females
16–19
years
1,929
2,118
2,468
2,496
2,526
2,687
2,735
2,730
2,980
3,231
3,345
3,263
3,389
3,514
3,734
3,783
3,625
3,411
3,170
3,043
3,122
3,105
3,149
3,260
3,313
3,282
3,154
2,862
2,724
2,811
3,005
3,127
3,190
3,260
3,493
3,487
3,519
3,320
3,162
3,002
2,955
3,055
3,091
2,994
2,837
2,509
2,249
2,717
2,698
2,656
2,631
2,606
2,579
2,521
2,438
2,369
2,265
2,330
2,315
2,295
2,297
2,310
2,355
2,263
2,223
2,186
2,288
2,221
2,214
2,187
2,177

Males
20
years
and
over

Total

21,903
22,630
23,510
24,397
25,281
26,397
26,952
27,246
28,276
29,484
30,424
30,726
32,226
33,775
35,836
37,434
38,492
39,590
40,086
41,004
42,793
44,154
45,556
47,074
48,383
49,745
50,535
50,634
51,328
52,099
53,606
54,396
55,311
56,613
57,278
58,555
60,067
60,417
60,420
61,402
61,773
62,702
63,834
64,799
65,039
63,699
63,456
64,244
64,191
64,074
64,087
63,816
63,710
63,733
63,615
63,323
63,264
63,363
63,037
63,549
63,516
63,479
63,501
63,487
63,483
63,340
63,379
63,562
63,400
63,385
63,428

3,786
3,366
2,875
2,975
2,817
2,832
4,093
5,016
4,882
4,365
5,156
7,929
7,406
6,991
6,202
6,137
7,637
8,273
10,678
10,717
8,539
8,312
8,237
7,425
6,701
6,528
7,047
8,628
9,613
8,940
7,996
7,404
7,236
6,739
6,210
5,880
5,692
6,801
8,378
8,774
8,149
7,591
7,001
7,078
8,924
14,265
14,825
11,984
12,737
13,278
13,734
14,512
14,776
14,663
14,953
15,149
15,628
15,206
15,212
14,842
14,860
14,943
15,138
14,884
14,593
14,637
14,849
14,746
14,876
15,041
14,485

Total
2,205
1,914
1,551
1,508
1,419
1,403
2,238
2,789
2,659
2,275
2,714
4,442
4,036
3,667
3,142
3,120
4,267
4,577
6,179
6,260
4,744
4,521
4,530
4,101
3,655
3,525
3,906
4,946
5,523
5,055
4,367
3,983
3,880
3,577
3,266
3,066
2,975
3,690
4,597
4,906
4,456
4,059
3,753
3,882
5,033
8,453
8,626
6,991
7,456
7,841
8,251
8,729
8,755
8,689
8,968
9,044
9,381
9,091
8,925
8,789
8,696
8,778
8,829
8,572
8,614
8,520
8,666
8,571
8,530
8,649
8,245

16–19
years
487
479
432
448
426
440
599
693
711
653
757
966
939
874
813
811
913
962
1,090
1,003
812
806
779
732
667
658
667
751
806
768
740
744
733
694
686
633
599
650
700
697
664
667
622
623
736
898
863
799
835
835
852
913
879
912
958
963
954
940
941
928
835
914
898
845
850
867
876
841
879
800
818

Females
20
years
and
over
1,718
1,435
1,120
1,060
993
963
1,638
2,097
1,948
1,624
1,957
3,476
3,098
2,794
2,328
2,308
3,353
3,615
5,089
5,257
3,932
3,715
3,751
3,369
2,987
2,867
3,239
4,195
4,717
4,287
3,627
3,239
3,146
2,882
2,580
2,433
2,376
3,040
3,896
4,209
3,791
3,392
3,131
3,259
4,297
7,555
7,763
6,192
6,621
7,006
7,399
7,816
7,875
7,776
8,010
8,081
8,427
8,150
7,983
7,861
7,861
7,864
7,931
7,728
7,765
7,653
7,789
7,729
7,651
7,849
7,426

Total
1,581
1,452
1,324
1,468
1,397
1,429
1,855
2,227
2,222
2,089
2,441
3,486
3,369
3,324
3,061
3,018
3,370
3,696
4,499
4,457
3,794
3,791
3,707
3,324
3,046
3,003
3,140
3,683
4,090
3,885
3,629
3,421
3,356
3,162
2,944
2,814
2,717
3,111
3,781
3,868
3,694
3,531
3,247
3,196
3,891
5,811
6,199
4,993
5,280
5,438
5,483
5,783
6,021
5,975
5,985
6,105
6,247
6,115
6,287
6,053
6,164
6,165
6,309
6,312
5,978
6,117
6,183
6,175
6,346
6,392
6,240

16–19
years
385
395
405
391
412
413
506
568
598
583
665
802
780
789
769
743
755
800
886
825
687
661
675
616
558
536
544
608
621
597
580
602
573
577
519
529
483
512
553
554
543
519
496
478
549
654
665
576
616
596
579
612
738
663
655
672
703
696
689
644
655
668
643
741
635
659
680
656
728
626
641

20
years
and
over
1,195
1,056
921
1,078
985
1,015
1,349
1,658
1,625
1,507
1,777
2,684
2,588
2,535
2,292
2,276
2,615
2,895
3,613
3,632
3,107
3,129
3,032
2,709
2,487
2,467
2,596
3,074
3,469
3,288
3,049
2,819
2,783
2,585
2,424
2,285
2,235
2,599
3,228
3,314
3,150
3,013
2,751
2,718
3,342
5,157
5,534
4,418
4,664
4,841
4,904
5,171
5,284
5,312
5,329
5,433
5,544
5,419
5,598
5,409
5,509
5,497
5,665
5,570
5,343
5,458
5,504
5,520
5,618
5,766
5,599

Table B–37. Civilian employment by demographic characteristic, 1964–2010
[Thousands of persons 16 years of age and over; monthly data seasonally adjusted]
White 1

Year or month

All
civilian
workers

Total

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

69,305
71,088
72,895
74,372
75,920
77,902
78,678
79,367
82,153
85,064
86,794
85,846
88,752
92,017
96,048
98,824
99,303
100,397
99,526
100,834
105,005
107,150
109,597
112,440
114,968
117,342
118,793
117,718
118,492
120,259
123,060
124,900
126,708
129,558
131,463
133,488
136,891
136,933
136,485
137,736
139,252
141,730
144,427
146,047
145,362
139,877
139,064
142,201
141,687
140,822
140,720
140,292
139,978
139,794
139,409
138,791
138,393
138,590
137,960
138,511
138,698
138,952
139,382
139,353
139,092
138,991
139,267
139,378
139,084
138,909
139,206

61,922
63,446
65,021
66,361
67,750
69,518
70,217
70,878
73,370
75,708
77,184
76,411
78,853
81,700
84,936
87,259
87,715
88,709
87,903
88,893
92,120
93,736
95,660
97,789
99,812
101,584
102,261
101,182
101,669
103,045
105,190
106,490
107,808
109,856
110,931
112,235
114,424
114,430
114,013
114,235
115,239
116,949
118,833
119,792
119,126
114,996
114,168
116,782
116,478
115,673
115,783
115,392
115,085
114,921
114,699
114,051
113,854
113,854
113,439
113,940
113,958
114,165
114,465
114,350
114,176
114,312
114,457
114,433
113,975
113,728
114,079

Males Females
41,115
41,844
42,331
42,833
43,411
44,048
44,178
44,595
45,944
47,085
47,674
46,697
47,775
49,150
50,544
51,452
51,127
51,315
50,287
50,621
52,462
53,046
53,785
54,647
55,550
56,352
56,703
55,797
55,959
56,656
57,452
58,146
58,888
59,998
60,604
61,139
62,289
62,212
61,849
61,866
62,712
63,763
64,883
65,289
64,624
61,630
61,252
62,947
62,538
61,932
61,958
61,816
61,629
61,554
61,429
61,210
60,993
60,911
60,670
60,735
60,946
61,127
61,371
61,461
61,305
61,472
61,509
61,507
61,235
61,052
61,307

20,807
21,602
22,690
23,528
24,339
25,470
26,039
26,283
27,426
28,623
29,511
29,714
31,078
32,550
34,392
35,807
36,587
37,394
37,615
38,272
39,659
40,690
41,876
43,142
44,262
45,232
45,558
45,385
45,710
46,390
47,738
48,344
48,920
49,859
50,327
51,096
52,136
52,218
52,164
52,369
52,527
53,186
53,950
54,503
54,501
53,366
52,916
53,835
53,940
53,741
53,825
53,576
53,456
53,367
53,271
52,841
52,861
52,943
52,769
53,206
53,012
53,037
53,094
52,889
52,872
52,840
52,947
52,927
52,739
52,676
52,773

Black and other 1
Both
sexes
16–19
4,076
4,562
5,176
5,114
5,195
5,508
5,571
5,670
6,173
6,623
6,796
6,487
6,724
7,068
7,367
7,356
7,021
6,588
5,984
5,799
5,836
5,768
5,792
5,898
6,030
5,946
5,779
5,216
4,985
5,113
5,398
5,593
5,667
5,807
6,089
6,204
6,160
5,817
5,441
5,064
5,039
5,105
5,215
4,990
4,697
4,138
3,733
4,450
4,489
4,334
4,254
4,307
4,218
4,145
4,054
3,976
3,814
3,831
3,822
3,758
3,802
3,794
3,846
3,728
3,626
3,706
3,747
3,674
3,715
3,775
3,676

Black or African American 1

Total

Males

Females

Both
sexes
16–19

7,383
7,643
7,877
8,011
8,169
8,384
8,464
8,488
8,783
9,356
9,610
9,435
9,899
10,317
11,112
11,565
11,588
11,688
11,624
11,941
12,885
13,414
13,937
14,652
15,156
15,757
16,533
16,536
16,823
17,214
17,870
18,409
18,900
19,701
20,532
21,253
�������������
�������������
�������������
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�������������
�������������
�������������
�������������
�������������
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�������������
�������������
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4,359
4,496
4,588
4,646
4,702
4,770
4,813
4,796
4,952
5,265
5,352
5,161
5,363
5,579
5,936
6,156
6,059
6,083
5,983
6,166
6,629
6,845
7,107
7,459
7,722
7,963
8,401
8,426
8,482
8,693
8,998
9,231
9,319
9,687
10,089
10,307
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
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�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������

3,024
3,147
3,289
3,365
3,467
3,614
3,650
3,692
3,832
4,092
4,258
4,275
4,536
4,739
5,177
5,409
5,529
5,606
5,641
5,775
6,256
6,569
6,830
7,192
7,434
7,795
8,131
8,110
8,342
8,521
8,872
9,179
9,580
10,014
10,443
10,945
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

440
474
545
568
584
609
574
538
573
647
652
615
611
619
703
727
689
637
565
543
607
666
681
742
774
813
801
690
684
691
763
826
832
853
962
968
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

Total

Males

Females

Both
sexes
16–19

�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
7,802
8,128
8,203
7,894
8,227
8,540
9,102
9,359
9,313
9,355
9,189
9,375
10,119
10,501
10,814
11,309
11,658
11,953
12,175
12,074
12,151
12,382
12,835
13,279
13,542
13,969
14,556
15,056
15,156
15,006
14,872
14,739
14,909
15,313
15,765
16,051
15,953
15,025
15,010
15,481
15,312
15,176
15,098
15,040
15,036
15,052
14,919
14,798
14,749
14,883
14,760
14,843
14,952
14,939
14,996
15,175
15,020
14,908
14,972
14,920
15,127
15,142
15,119

�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
4,368
4,527
4,527
4,275
4,404
4,565
4,796
4,923
4,798
4,794
4,637
4,753
5,124
5,270
5,428
5,661
5,824
5,928
5,995
5,961
5,930
6,047
6,241
6,422
6,456
6,607
6,871
7,027
7,082
6,938
6,959
6,820
6,912
7,155
7,354
7,500
7,398
6,817
6,865
7,023
6,952
6,876
6,817
6,815
6,795
6,828
6,736
6,713
6,736
6,753
6,764
6,764
6,768
6,799
6,884
6,972
6,838
6,854
6,868
6,825
6,934
6,926
6,941

������������
������������
������������
������������
������������
������������
������������
������������
3,433
3,601
3,677
3,618
3,823
3,975
4,307
4,436
4,515
4,561
4,552
4,622
4,995
5,231
5,386
5,648
5,834
6,025
6,180
6,113
6,221
6,334
6,595
6,857
7,086
7,362
7,685
8,029
8,073
8,068
7,914
7,919
7,997
8,158
8,410
8,551
8,554
8,208
8,145
8,458
8,360
8,300
8,281
8,225
8,242
8,224
8,182
8,085
8,013
8,131
7,995
8,079
8,184
8,140
8,112
8,203
8,182
8,054
8,104
8,094
8,193
8,216
8,178

��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
509
570
554
507
508
508
571
579
547
505
428
416
474
532
536
587
601
625
598
494
492
494
552
586
613
631
736
691
711
637
611
516
520
536
618
566
541
442
386
497
459
455
486
434
452
476
452
411
408
374
389
428
403
421
420
428
379
376
370
310
366
372
361

1 Beginning in 2003, persons who selected this race group only. Prior to 2003, persons who selected more than one race were included in the group
they identified as the main race. Data for “black or African American” were for “black” prior to 2003. Data discontinued for “black and other” series. See
Employment and Earnings or concepts and methodology of the Current Population Survey (CPS) at http://www.bls.gov/cps/documentation.htm#concepts for
details.
Note: Beginning with data for 2000, detail will not sum to total because data for all race groups are not shown here.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 235

Table B–38. Unemployment by demographic characteristic, 1964–2010
[Thousands of persons 16 years of age and over; monthly data seasonally adjusted]

Year or month

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

All
civilian
workers
3,786
3,366
2,875
2,975
2,817
2,832
4,093
5,016
4,882
4,365
5,156
7,929
7,406
6,991
6,202
6,137
7,637
8,273
10,678
10,717
8,539
8,312
8,237
7,425
6,701
6,528
7,047
8,628
9,613
8,940
7,996
7,404
7,236
6,739
6,210
5,880
5,692
6,801
8,378
8,774
8,149
7,591
7,001
7,078
8,924
14,265
14,825
11,984
12,737
13,278
13,734
14,512
14,776
14,663
14,953
15,149
15,628
15,206
15,212
14,842
14,860
14,943
15,138
14,884
14,593
14,637
14,849
14,746
14,876
15,041
14,485

White 1
Total
2,999
2,691
2,255
2,338
2,226
2,260
3,339
4,085
3,906
3,442
4,097
6,421
5,914
5,441
4,698
4,664
5,884
6,343
8,241
8,128
6,372
6,191
6,140
5,501
4,944
4,770
5,186
6,560
7,169
6,655
5,892
5,459
5,300
4,836
4,484
4,273
4,121
4,969
6,137
6,311
5,847
5,350
5,002
5,143
6,509
10,648
10,916
8,861
9,425
10,005
10,196
10,827
11,024
10,986
11,266
11,352
11,771
11,438
11,264
10,795
10,999
10,939
11,275
10,977
10,788
10,782
10,901
10,899
10,940
11,096
10,620

Males
1,779
1,556
1,241
1,208
1,142
1,137
1,857
2,309
2,173
1,836
2,169
3,627
3,258
2,883
2,411
2,405
3,345
3,580
4,846
4,859
3,600
3,426
3,433
3,132
2,766
2,636
2,935
3,859
4,209
3,828
3,275
2,999
2,896
2,641
2,431
2,274
2,177
2,754
3,459
3,643
3,282
2,931
2,730
2,869
3,727
6,421
6,476
5,209
5,593
5,960
6,199
6,637
6,714
6,687
6,873
6,948
7,191
6,927
6,719
6,591
6,502
6,466
6,762
6,403
6,435
6,415
6,511
6,459
6,427
6,533
6,188

Females
1,220
1,135
1,014
1,130
1,084
1,123
1,482
1,777
1,733
1,606
1,927
2,794
2,656
2,558
2,287
2,260
2,540
2,762
3,395
3,270
2,772
2,765
2,708
2,369
2,177
2,135
2,251
2,701
2,959
2,827
2,617
2,460
2,404
2,195
2,053
1,999
1,944
2,215
2,678
2,668
2,565
2,419
2,271
2,274
2,782
4,227
4,440
3,652
3,832
4,045
3,998
4,190
4,310
4,299
4,392
4,404
4,580
4,510
4,544
4,203
4,497
4,473
4,513
4,574
4,353
4,366
4,391
4,440
4,513
4,563
4,433

1 See footnote 1 and Note, Table B–37.

Note: See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

236 |

Appendix B

Black and other 1
Both
sexes
16–19
708
705
651
635
644
660
871
1,011
1,021
955
1,104
1,413
1,364
1,284
1,189
1,193
1,291
1,374
1,534
1,387
1,116
1,074
1,070
995
910
863
903
1,029
1,037
992
960
952
939
912
876
844
795
845
925
909
890
845
794
805
947
1,157
1,128
1,017
1,089
1,103
1,072
1,106
1,177
1,199
1,286
1,210
1,263
1,165
1,180
1,146
1,108
1,180
1,178
1,193
1,095
1,131
1,162
1,119
1,138
1,008
1,070

Black or African American 1

Total

Males

Females

Both
sexes
16–19

787
678
622
638
590
571
754
930
977
924
1,058
1,507
1,492
1,550
1,505
1,473
1,752
1,930
2,437
2,588
2,167
2,121
2,097
1,924
1,757
1,757
1,860
2,068
2,444
2,285
2,104
1,945
1,936
1,903
1,726
1,606
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������

426
360
310
300
277
267
380
481
486
440
544
815
779
784
731
714
922
997
1,334
1,401
1,144
1,095
1,097
969
888
889
971
1,087
1,314
1,227
1,092
984
984
935
835
792
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������

361
318
312
338
313
304
374
450
491
484
514
692
713
766
774
759
830
933
1,104
1,187
1,022
1,026
999
955
869
868
889
981
1,130
1,058
1,011
961
952
967
891
814
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

165
171
186
203
194
193
235
249
288
280
318
355
355
379
394
362
377
388
443
441
384
394
383
353
316
331
308
330
390
373
360
394
367
359
329
318
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

Total

Males

Females

Both
sexes
16–19

�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
906
846
965
1,369
1,334
1,393
1,330
1,319
1,553
1,731
2,142
2,272
1,914
1,864
1,840
1,684
1,547
1,544
1,565
1,723
2,011
1,844
1,666
1,538
1,592
1,560
1,426
1,309
1,241
1,416
1,693
1,787
1,729
1,700
1,549
1,445
1,788
2,606
2,852
2,253
2,404
2,364
2,663
2,651
2,641
2,618
2,643
2,694
2,774
2,765
2,856
2,922
2,811
2,962
2,971
2,785
2,725
2,767
2,904
2,857
2,818
2,878
2,839

�������������
�������������
�������������
�������������
�������������
�������������
�������������
�������������
448
395
494
741
698
698
641
636
815
891
1,167
1,213
1,003
951
946
826
771
773
806
890
1,067
971
848
762
808
747
671
626
620
709
835
891
860
844
774
752
949
1,448
1,550
1,297
1,358
1,349
1,533
1,491
1,444
1,416
1,492
1,458
1,513
1,565
1,527
1,585
1,575
1,722
1,564
1,507
1,543
1,488
1,575
1,559
1,489
1,516
1,471

������������
������������
������������
������������
������������
������������
������������
������������
458
451
470
629
637
695
690
683
738
840
975
1,059
911
913
894
858
776
772
758
833
944
872
818
777
784
813
756
684
621
706
858
895
868
856
775
693
839
1,159
1,302
956
1,046
1,015
1,130
1,160
1,197
1,202
1,151
1,236
1,261
1,201
1,329
1,337
1,236
1,239
1,407
1,279
1,182
1,279
1,329
1,298
1,330
1,362
1,367

��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
279
262
297
330
330
354
360
333
343
357
396
392
353
357
347
312
288
300
268
280
324
313
300
325
310
302
281
268
230
260
260
255
241
267
253
235
246
288
291
283
292
229
277
292
289
276
244
285
286
358
355
323
290
294
261
268
258
265
312
300
334
321
287

Table B–39. Civilian labor force participation rate and employment/population ratio,
1964–2010
[Percent 1; monthly data seasonally adjusted]
Labor force participation rate
Year or month

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

Both
All
sexes
civilian Males Females 16–19
workers
years
58.7
58.9
59.2
59.6
59.6
60.1
60.4
60.2
60.4
60.8
61.3
61.2
61.6
62.3
63.2
63.7
63.8
63.9
64.0
64.0
64.4
64.8
65.3
65.6
65.9
66.5
66.5
66.2
66.4
66.3
66.6
66.6
66.8
67.1
67.1
67.1
67.1
66.8
66.6
66.2
66.0
66.0
66.2
66.0
66.0
65.4
64.7
65.7
65.7
65.6
65.6
65.7
65.7
65.5
65.4
65.1
65.1
65.0
64.7
64.8
64.8
64.9
65.1
64.9
64.7
64.6
64.7
64.7
64.5
64.5
64.3

81.0
80.7
80.4
80.4
80.1
79.8
79.7
79.1
78.9
78.8
78.7
77.9
77.5
77.7
77.9
77.8
77.4
77.0
76.6
76.4
76.4
76.3
76.3
76.2
76.2
76.4
76.4
75.8
75.8
75.4
75.1
75.0
74.9
75.0
74.9
74.7
74.8
74.4
74.1
73.5
73.3
73.3
73.5
73.2
73.0
72.0
71.2
72.4
72.4
72.0
72.2
72.5
72.3
72.0
72.0
71.8
71.8
71.5
71.1
71.0
71.1
71.4
71.7
71.5
71.2
71.2
71.3
71.2
71.0
70.9
70.7

38.7
39.3
40.3
41.1
41.6
42.7
43.3
43.4
43.9
44.7
45.7
46.3
47.3
48.4
50.0
50.9
51.5
52.1
52.6
52.9
53.6
54.5
55.3
56.0
56.6
57.4
57.5
57.4
57.8
57.9
58.8
58.9
59.3
59.8
59.8
60.0
59.9
59.8
59.6
59.5
59.2
59.3
59.4
59.3
59.5
59.2
58.6
59.4
59.5
59.5
59.5
59.4
59.5
59.4
59.1
58.9
58.8
58.8
58.6
58.8
58.9
58.8
58.9
58.8
58.5
58.4
58.5
58.6
58.5
58.5
58.3

44.5
45.7
48.2
48.4
48.3
49.4
49.9
49.7
51.9
53.7
54.8
54.0
54.5
56.0
57.8
57.9
56.7
55.4
54.1
53.5
53.9
54.5
54.7
54.7
55.3
55.9
53.7
51.6
51.3
51.5
52.7
53.5
52.3
51.6
52.8
52.0
52.0
49.6
47.4
44.5
43.9
43.7
43.7
41.3
40.2
37.5
34.9
38.6
38.8
38.0
37.9
38.4
38.6
37.8
37.3
36.9
36.0
35.9
35.8
35.3
35.1
35.8
35.8
35.4
34.1
34.6
35.2
34.2
35.2
34.6
34.3

White 2

58.2
58.4
58.7
59.2
59.3
59.9
60.2
60.1
60.4
60.8
61.4
61.5
61.8
62.5
63.3
63.9
64.1
64.3
64.3
64.3
64.6
65.0
65.5
65.8
66.2
66.7
66.9
66.6
66.8
66.8
67.1
67.1
67.2
67.5
67.3
67.3
67.3
67.0
66.8
66.5
66.3
66.3
66.5
66.4
66.3
65.8
65.1
66.0
66.1
66.0
66.1
66.2
66.1
65.9
65.9
65.6
65.6
65.4
65.1
65.2
65.2
65.3
65.6
65.3
65.1
65.1
65.2
65.1
64.9
64.8
64.7

Employment/population ratio
Black
Black
Both
Black
or
All
or
sexes White 2 Black
and African civilian Males Females 16–19
and African
2 Ameriother 2 Ameri- workers
other
years
can 2
can 2
63.1
62.9
63.0
62.8
62.2
62.1
61.8
60.9
60.2
60.5
60.3
59.6
59.8
60.4
62.2
62.2
61.7
61.3
61.6
62.1
62.6
63.3
63.7
64.3
64.0
64.7
64.4
63.8
64.6
63.8
63.9
64.3
64.6
65.2
66.0
65.9
������������
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������������
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������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������
������������

�����������
�����������
�����������
�����������
�����������
�����������
�����������
�����������
59.9
60.2
59.8
58.8
59.0
59.8
61.5
61.4
61.0
60.8
61.0
61.5
62.2
62.9
63.3
63.8
63.8
64.2
64.0
63.3
63.9
63.2
63.4
63.7
64.1
64.7
65.6
65.8
65.8
65.3
64.8
64.3
63.8
64.2
64.1
63.7
63.7
62.4
62.2
63.2
63.1
62.4
63.1
62.8
62.6
62.5
62.1
61.7
61.8
62.1
61.9
62.3
62.2
62.6
62.8
62.7
61.9
61.5
62.2
61.7
62.2
62.4
62.1

55.7
56.2
56.9
57.3
57.5
58.0
57.4
56.6
57.0
57.8
57.8
56.1
56.8
57.9
59.3
59.9
59.2
59.0
57.8
57.9
59.5
60.1
60.7
61.5
62.3
63.0
62.8
61.7
61.5
61.7
62.5
62.9
63.2
63.8
64.1
64.3
64.4
63.7
62.7
62.3
62.3
62.7
63.1
63.0
62.2
59.3
58.5
60.6
60.3
59.9
59.8
59.6
59.4
59.3
59.0
58.7
58.5
58.5
58.2
58.5
58.5
58.6
58.7
58.7
58.5
58.4
58.5
58.5
58.3
58.2
58.3

77.3
77.5
77.9
78.0
77.8
77.6
76.2
74.9
75.0
75.5
74.9
71.7
72.0
72.8
73.8
73.8
72.0
71.3
69.0
68.8
70.7
70.9
71.0
71.5
72.0
72.5
72.0
70.4
69.8
70.0
70.4
70.8
70.9
71.3
71.6
71.6
71.9
70.9
69.7
68.9
69.2
69.6
70.1
69.8
68.5
64.5
63.7
66.2
65.8
65.1
65.0
64.8
64.6
64.4
64.2
63.9
63.6
63.6
63.3
63.4
63.5
63.7
64.0
64.0
63.8
63.8
63.8
63.8
63.6
63.4
63.6

36.3
37.1
38.3
39.0
39.6
40.7
40.8
40.4
41.0
42.0
42.6
42.0
43.2
44.5
46.4
47.5
47.7
48.0
47.7
48.0
49.5
50.4
51.4
52.5
53.4
54.3
54.3
53.7
53.8
54.1
55.3
55.6
56.0
56.8
57.1
57.4
57.5
57.0
56.3
56.1
56.0
56.2
56.6
56.6
56.2
54.4
53.6
55.3
55.2
55.0
55.0
54.7
54.5
54.4
54.2
53.9
53.7
53.8
53.5
53.9
53.8
53.8
53.8
53.7
53.6
53.4
53.5
53.5
53.3
53.3
53.3

37.3
38.9
42.1
42.2
42.2
43.4
42.3
41.3
43.5
45.9
46.0
43.3
44.2
46.1
48.3
48.5
46.6
44.6
41.5
41.5
43.7
44.4
44.6
45.5
46.8
47.5
45.3
42.0
41.0
41.7
43.4
44.2
43.5
43.4
45.1
44.7
45.2
42.3
39.6
36.8
36.4
36.5
36.9
34.8
32.6
28.4
25.9
30.5
30.3
29.6
29.5
29.4
29.1
28.6
27.8
27.3
26.2
26.2
26.2
26.0
26.3
26.5
26.7
26.1
25.3
25.5
26.0
25.3
25.7
26.2
25.6

55.5
56.0
56.8
57.2
57.4
58.0
57.5
56.8
57.4
58.2
58.3
56.7
57.5
58.6
60.0
60.6
60.0
60.0
58.8
58.9
60.5
61.0
61.5
62.3
63.1
63.8
63.7
62.6
62.4
62.7
63.5
63.8
64.1
64.6
64.7
64.8
64.9
64.2
63.4
63.0
63.1
63.4
63.8
63.6
62.8
60.2
59.4
61.4
61.2
60.7
60.8
60.5
60.3
60.2
60.0
59.6
59.5
59.4
59.2
59.5
59.5
59.6
59.7
59.6
59.5
59.5
59.5
59.5
59.2
59.0
59.2

57.0
57.8
58.4
58.2
58.0
58.1
56.8
54.9
54.1
55.0
54.3
51.4
52.0
52.5
54.7
55.2
53.6
52.6
50.9
51.0
53.6
54.7
55.4
56.8
57.4
58.2
57.9
56.7
56.4
56.3
57.2
58.1
58.6
59.4
60.9
61.3
������������
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�����������
�����������
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�����������
�����������
�����������
53.7
54.5
53.5
50.1
50.8
51.4
53.6
53.8
52.3
51.3
49.4
49.5
52.3
53.4
54.1
55.6
56.3
56.9
56.7
55.4
54.9
55.0
56.1
57.1
57.4
58.2
59.7
60.6
60.9
59.7
58.1
57.4
57.2
57.7
58.4
58.4
57.3
53.2
52.3
55.2
54.5
54.0
53.6
53.4
53.3
53.3
52.7
52.2
52.0
52.4
51.9
52.0
52.4
52.3
52.4
53.0
52.4
51.9
52.1
51.8
52.5
52.5
52.3

1 Civilian labor force or civilian employment as percent of civilian noninstitutional population in group specified.
2 See footnote 1, Table B–37.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 237

Table B–40. Civilian labor force participation rate by demographic characteristic, 1970–2010
[Percent 1; monthly data seasonally adjusted]
White 2
Year or month

All
civilian
workers

Total

Total

Black and other or black or African American 2

Males

Females

Males

years
16–19 20and
Total
years
over

years Total
16–19 20and
years
over

Total

years
20 years
16–19 20and
Total 16–19
and
years
years over
over
Black and other 2

      
1970 ����������������������
1971 ����������������������
1972 ����������������������

60.4
60.2
60.4

60.2
60.1
60.4

80.0
79.6
79.6

57.5
57.9
60.1

82.8
82.3
82.0

42.6
42.6
43.2

45.6
45.4
48.1

42.2
42.3
42.7

61.8
60.9
60.2

76.5
74.9
73.9

      
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

60.4
60.8
61.3
61.2
61.6
62.3
63.2
63.7
63.8
63.9
64.0
64.0
64.4
64.8
65.3
65.6
65.9
66.5
66.5
66.2
66.4
66.3
66.6
66.6
66.8
67.1
67.1
67.1
67.1
66.8
66.6
66.2
66.0
66.0
66.2
66.0
66.0
65.4
64.7
65.7
65.7
65.6
65.6
65.7
65.7
65.5
65.4
65.1
65.1
65.0
64.7
64.8
64.8
64.9
65.1
64.9
64.7
64.6
64.7
64.7
64.5
64.5
64.3

60.4
60.8
61.4
61.5
61.8
62.5
63.3
63.9
64.1
64.3
64.3
64.3
64.6
65.0
65.5
65.8
66.2
66.7
66.9
66.6
66.8
66.8
67.1
67.1
67.2
67.5
67.3
67.3
67.3
67.0
66.8
66.5
66.3
66.3
66.5
66.4
66.3
65.8
65.1
66.0
66.1
66.0
66.1
66.2
66.1
65.9
65.9
65.6
65.6
65.4
65.1
65.2
65.2
65.3
65.6
65.3
65.1
65.1
65.2
65.1
64.9
64.8
64.7

79.6
79.4
79.4
78.7
78.4
78.5
78.6
78.6
78.2
77.9
77.4
77.1
77.1
77.0
76.9
76.8
76.9
77.1
77.1
76.5
76.5
76.2
75.9
75.7
75.8
75.9
75.6
75.6
75.5
75.1
74.8
74.2
74.1
74.1
74.3
74.0
73.7
72.8
72.0
73.2
73.2
72.9
73.1
73.4
73.2
73.0
73.0
72.8
72.8
72.3
71.8
71.8
71.9
72.0
72.6
72.2
72.0
72.1
72.2
72.1
71.7
71.6
71.5

60.1
62.0
62.9
61.9
62.3
64.0
65.0
64.8
63.7
62.4
60.0
59.4
59.0
59.7
59.3
59.0
60.0
61.0
59.6
57.3
56.9
56.6
57.7
58.5
57.1
56.1
56.6
56.4
56.5
53.7
50.3
47.5
47.4
46.2
46.9
44.3
43.0
40.3
37.4
41.7
41.6
40.6
39.8
41.6
40.4
40.8
41.8
40.4
39.7
37.7
37.9
37.8
37.0
38.2
38.3
37.7
36.1
37.6
37.3
36.4
37.4
38.2
37.6

82.0
81.6
81.4
80.7
80.3
80.2
80.1
80.1
79.8
79.5
79.2
78.9
78.7
78.5
78.5
78.4
78.3
78.5
78.5
78.0
78.0
77.7
77.3
77.1
77.3
77.5
77.2
77.2
77.1
76.9
76.7
76.3
76.2
76.2
76.4
76.3
76.1
75.3
74.6
75.7
75.6
75.3
75.7
75.8
75.7
75.5
75.4
75.3
75.3
75.0
74.4
74.4
74.6
74.6
75.1
74.8
74.7
74.7
74.8
74.8
74.3
74.1
74.0

43.2
44.1
45.2
45.9
46.9
48.0
49.4
50.5
51.2
51.9
52.4
52.7
53.3
54.1
55.0
55.7
56.4
57.2
57.4
57.4
57.7
58.0
58.9
59.0
59.1
59.5
59.4
59.6
59.5
59.4
59.3
59.2
58.9
58.9
59.0
59.0
59.2
59.1
58.5
59.2
59.4
59.4
59.4
59.3
59.3
59.2
59.1
58.6
58.8
58.8
58.6
58.8
58.8
58.8
58.9
58.7
58.4
58.4
58.5
58.5
58.3
58.3
58.2

48.1
50.1
51.7
51.5
52.8
54.5
56.7
57.4
56.2
55.4
55.0
54.5
55.4
55.2
56.3
56.5
57.2
57.1
55.3
54.1
52.5
53.5
55.1
55.5
54.7
54.1
55.4
54.5
54.5
52.4
50.8
47.9
46.7
47.6
46.6
44.6
43.3
40.9
38.0
41.9
43.8
42.6
41.7
41.3
42.3
41.2
40.1
39.3
38.4
39.2
39.3
37.6
38.6
38.5
39.3
38.5
37.2
37.6
39.1
38.3
38.3
36.5
36.6

42.7
43.5
44.4
45.3
46.2
47.3
48.7
49.8
50.6
51.5
52.2
52.5
53.1
54.0
54.9
55.6
56.3
57.2
57.6
57.6
58.1
58.3
59.2
59.2
59.4
59.9
59.7
59.9
59.9
59.9
60.0
59.9
59.7
59.7
59.9
60.1
60.3
60.4
59.9
60.4
60.5
60.6
60.7
60.6
60.5
60.4
60.4
60.0
60.2
60.1
59.9
60.2
60.2
60.2
60.2
60.1
59.9
59.8
59.8
59.8
59.7
59.7
59.7

59.9
60.2
59.8
58.8
59.0
59.8
61.5
61.4
61.0
60.8
61.0
61.5
62.2
62.9
63.3
63.8
63.8
64.2
64.0
63.3
63.9
63.2
63.4
63.7
64.1
64.7
65.6
65.8
65.8
65.3
64.8
64.3
63.8
64.2
64.1
63.7
63.7
62.4
62.2
63.2
63.1
62.4
63.1
62.8
62.6
62.5
62.1
61.7
61.8
62.1
61.9
62.3
62.2
62.6
62.8
62.7
61.9
61.5
62.2
61.7
62.2
62.4
62.1

73.6
73.4
72.9
70.9
70.0
70.6
71.5
71.3
70.3
70.0
70.1
70.6
70.8
70.8
71.2
71.1
71.0
71.0
71.0
70.4
70.7
69.6
69.1
69.0
68.7
68.3
69.0
68.7
69.2
68.4
68.4
67.3
66.7
67.3
67.0
66.8
66.7
65.0
65.0
66.0
65.8
65.1
66.0
65.5
64.9
64.9
64.6
64.1
64.6
65.0
64.8
65.0
64.9
66.2
65.5
65.7
64.8
64.4
65.1
64.6
64.8
64.9
64.5

47.4
44.7
46.0

81.4
80.0
78.6

49.5
49.2
48.8

34.1
31.2
32.3

51.8
51.8
51.2

32.2
34.2
33.4
34.2
32.9
32.9
37.3
36.8
34.9
34.0
33.5
33.0
35.0
37.9
39.1
39.6
37.9
40.4
36.8
33.5
35.2
34.6
36.3
39.8
38.9
39.9
42.5
38.8
39.6
37.3
34.7
33.7
32.8
32.2
35.6
31.2
29.7
27.9
25.1
30.7
28.5
27.3
27.6
28.9
29.6
29.4
27.2
25.9
26.2
25.3
27.5
28.0
25.4
25.9
25.5
28.2
23.0
22.9
23.8
21.9
26.2
26.3
25.6

51.2
51.6
51.4
51.1
52.5
53.6
55.5
55.4
55.6
56.0
56.2
56.8
57.6
58.6
58.9
60.0
60.1
60.6
60.6
60.0
60.8
60.2
60.9
61.4
62.6
64.0
64.8
66.1
65.4
65.2
64.4
64.6
64.2
64.4
64.2
64.0
64.3
63.4
63.2
63.9
64.0
63.4
63.9
63.6
63.8
63.6
63.1
63.1
62.6
63.0
62.7
63.1
63.3
62.9
63.8
63.2
62.8
62.5
63.1
62.9
63.3
63.6
63.3

Black or African American 2

1 Civilian labor force as percent of civilian noninstitutional population in group specified.
2 See footnote 1, Table B–37.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

238 |

Females

Appendix B

46.3
45.7
46.7
42.6
41.3
43.2
44.9
43.6
43.2
41.6
39.8
39.9
41.7
44.6
43.7
43.6
43.8
44.6
40.7
37.3
40.6
39.5
40.8
40.1
39.5
37.4
40.7
38.6
39.2
37.9
37.3
31.1
30.0
32.6
32.3
29.4
29.1
26.4
25.8
27.2
27.3
23.5
29.1
25.1
25.5
26.6
24.6
26.1
25.7
29.5
28.3
27.9
26.4
27.6
25.5
23.9
24.9
25.5
27.7
24.3
26.9
26.4
23.6

78.5
78.4
77.6
76.0
75.4
75.6
76.2
76.3
75.1
74.5
74.7
75.2
74.8
74.4
74.8
74.7
74.6
74.4
75.0
74.6
74.3
73.2
72.5
72.5
72.3
72.2
72.5
72.4
72.8
72.1
72.1
71.5
70.9
71.3
71.1
71.2
71.1
69.6
69.5
70.6
70.4
69.9
70.3
70.3
69.5
69.3
69.3
68.5
69.1
69.1
68.9
69.3
69.3
70.6
70.1
70.4
69.4
68.8
69.3
69.1
69.0
69.1
69.1

48.7
49.3
49.0
48.8
49.8
50.8
53.1
53.1
53.1
53.5
53.7
54.2
55.2
56.5
56.9
58.0
58.0
58.7
58.3
57.5
58.5
57.9
58.7
59.5
60.4
61.7
62.8
63.5
63.1
62.8
61.8
61.9
61.5
61.6
61.7
61.1
61.3
60.3
59.9
61.0
60.8
60.2
60.7
60.5
60.8
60.6
60.0
59.8
59.5
59.8
59.6
60.1
60.0
59.7
60.5
60.2
59.4
59.2
59.7
59.4
60.2
60.4
60.2

Table B–41. Civilian employment/population ratio by demographic characteristic,
1970–2010
[Percent 1; monthly data seasonally adjusted]
White 2
Year or month

All
civilian
workers

Total

Total

Black and other or black or African American 2

Males

Females

Males

Females

years
16–19 20and
Total
years
over

years Total
16–19 20and
years
over

years
16–19 20and
Total
years
over

years
16–19 20and
years
over

Total

Black and other 2

      
1970 ����������������������
1971 ����������������������
1972 ����������������������

57.4
56.6
57.0

57.5
56.8
57.4

76.8
75.7
76.0

49.6
49.2
51.5

80.1
79.0
79.0

40.3
39.9
40.7

39.5
38.6
41.3

40.4
40.1
40.6

56.8
54.9
54.1

70.9
68.1
67.3

      
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

57.0
57.8
57.8
56.1
56.8
57.9
59.3
59.9
59.2
59.0
57.8
57.9
59.5
60.1
60.7
61.5
62.3
63.0
62.8
61.7
61.5
61.7
62.5
62.9
63.2
63.8
64.1
64.3
64.4
63.7
62.7
62.3
62.3
62.7
63.1
63.0
62.2
59.3
58.5
60.6
60.3
59.9
59.8
59.6
59.4
59.3
59.0
58.7
58.5
58.5
58.2
58.5
58.5
58.6
58.7
58.7
58.5
58.4
58.5
58.5
58.3
58.2
58.3

57.4
58.2
58.3
56.7
57.5
58.6
60.0
60.6
60.0
60.0
58.8
58.9
60.5
61.0
61.5
62.3
63.1
63.8
63.7
62.6
62.4
62.7
63.5
63.8
64.1
64.6
64.7
64.8
64.9
64.2
63.4
63.0
63.1
63.4
63.8
63.6
62.8
60.2
59.4
61.4
61.2
60.7
60.8
60.5
60.3
60.2
60.0
59.6
59.5
59.4
59.2
59.5
59.5
59.6
59.7
59.6
59.5
59.5
59.5
59.5
59.2
59.0
59.2

76.0
76.5
75.9
73.0
73.4
74.1
75.0
75.1
73.4
72.8
70.6
70.4
72.1
72.3
72.3
72.7
73.2
73.7
73.3
71.6
71.1
71.4
71.8
72.0
72.3
72.7
72.7
72.8
73.0
72.0
70.8
70.1
70.4
70.8
71.3
70.9
69.7
66.0
65.1
67.6
67.2
66.5
66.4
66.3
66.0
65.9
65.7
65.4
65.1
65.0
64.7
64.8
65.0
65.1
65.4
65.4
65.2
65.3
65.3
65.3
64.9
64.7
64.9

51.5
54.3
54.4
50.6
51.5
54.4
56.3
55.7
53.4
51.3
47.0
47.4
49.1
49.9
49.6
49.9
51.7
52.6
51.0
47.2
46.4
46.6
48.3
49.4
48.2
48.1
48.6
49.3
49.5
46.2
42.3
39.4
39.7
38.8
40.0
37.3
34.8
30.2
27.6
32.6
32.2
31.1
30.7
31.3
30.5
30.1
30.1
29.6
28.4
27.7
27.6
27.4
27.8
27.9
27.9
27.7
26.3
27.7
27.3
26.7
27.7
29.3
27.9

79.0
79.2
78.6
75.7
76.0
76.5
77.2
77.3
75.6
75.1
73.0
72.6
74.3
74.3
74.3
74.7
75.1
75.4
75.1
73.5
73.1
73.3
73.6
73.8
74.2
74.7
74.7
74.8
74.9
74.0
73.1
72.5
72.8
73.3
73.7
73.5
72.4
68.7
67.9
70.3
69.9
69.2
69.2
68.9
68.7
68.6
68.4
68.1
67.9
67.8
67.5
67.6
67.8
68.0
68.2
68.3
68.1
68.1
68.2
68.1
67.7
67.3
67.7

40.7
41.8
42.4
42.0
43.2
44.5
46.3
47.5
47.8
48.3
48.1
48.5
49.8
50.7
51.7
52.8
53.8
54.6
54.7
54.2
54.2
54.6
55.8
56.1
56.3
57.0
57.1
57.3
57.4
57.0
56.4
56.3
56.1
56.3
56.6
56.7
56.3
54.8
54.0
55.4
55.5
55.3
55.3
55.0
54.9
54.7
54.6
54.1
54.1
54.2
54.0
54.5
54.2
54.2
54.3
54.0
54.0
53.9
54.0
53.9
53.7
53.6
53.7

41.3
43.6
44.3
42.5
44.2
45.9
48.5
49.4
47.9
46.2
44.6
44.5
47.0
47.1
47.9
49.0
50.2
50.5
48.3
45.9
44.2
45.7
47.5
48.1
47.6
47.2
49.3
48.3
48.8
46.5
44.1
41.5
40.3
41.8
41.1
39.2
37.1
33.4
30.4
35.4
36.5
35.3
34.5
34.7
34.2
33.5
32.2
31.5
30.3
31.3
31.4
30.5
30.8
30.7
31.6
30.1
30.0
29.9
31.1
30.6
30.3
29.7
29.6

40.6
41.6
42.2
41.9
43.1
44.4
46.1
47.3
47.8
48.5
48.4
48.9
50.0
51.0
52.0
53.1
54.0
54.9
55.2
54.8
54.9
55.2
56.4
56.7
57.0
57.8
57.7
58.0
58.0
57.7
57.3
57.3
57.2
57.4
57.7
57.9
57.7
56.3
55.6
56.8
56.8
56.7
56.8
56.5
56.3
56.2
56.2
55.7
55.8
55.8
55.5
56.1
55.9
55.9
55.8
55.7
55.6
55.6
55.6
55.5
55.3
55.2
55.3

53.7
54.5
53.5
50.1
50.8
51.4
53.6
53.8
52.3
51.3
49.4
49.5
52.3
53.4
54.1
55.6
56.3
56.9
56.7
55.4
54.9
55.0
56.1
57.1
57.4
58.2
59.7
60.6
60.9
59.7
58.1
57.4
57.2
57.7
58.4
58.4
57.3
53.2
52.3
55.2
54.5
54.0
53.6
53.4
53.3
53.3
52.7
52.2
52.0
52.4
51.9
52.0
52.4
52.3
52.4
53.0
52.4
51.9
52.1
51.8
52.5
52.5
52.3

66.8
67.5
65.8
60.6
60.6
61.4
63.3
63.4
60.4
59.1
56.0
56.3
59.2
60.0
60.6
62.0
62.7
62.8
62.6
61.3
59.9
60.0
60.8
61.7
61.1
61.4
62.9
63.1
63.6
62.1
61.1
59.5
59.3
60.2
60.6
60.7
59.1
53.7
53.1
55.7
55.1
54.4
53.8
53.8
53.5
53.7
52.9
52.7
52.8
52.8
52.8
52.6
52.6
52.8
53.4
54.0
52.9
53.0
53.0
52.6
53.3
53.2
53.3

35.5
31.8
32.4

76.8
74.2
73.2

44.9
43.9
43.3

22.4
20.2
19.9

48.2
47.3
46.7

19.2
22.0
20.9
20.2
19.2
18.5
22.1
22.4
21.0
19.7
17.7
17.0
20.1
23.1
23.8
25.8
25.8
27.1
25.8
21.5
22.1
21.6
24.5
26.1
27.1
28.5
31.8
29.0
30.6
27.0
24.9
23.4
23.6
22.4
26.4
23.3
21.7
18.6
14.9
21.6
19.4
19.9
19.9
19.0
19.6
19.4
20.4
17.6
15.5
14.8
15.7
17.2
15.4
16.8
15.4
16.9
14.5
14.3
14.4
10.9
14.6
14.9
13.9

46.5
47.2
46.9
44.9
46.4
47.0
49.3
49.3
49.1
48.5
47.5
47.4
49.8
50.9
51.6
53.0
53.9
54.6
54.7
53.6
53.6
53.8
55.0
56.1
57.1
58.4
59.7
61.5
61.3
60.7
58.7
58.6
58.5
58.9
59.4
59.8
59.1
56.1
55.1
58.0
57.4
56.9
56.7
56.3
56.3
56.1
55.7
55.2
54.8
55.6
54.5
54.8
55.6
55.1
55.0
55.4
55.4
54.5
54.7
54.9
55.2
55.2
55.0

Black or African American 2
31.6
32.8
31.4
26.3
25.8
26.4
28.5
28.7
27.0
24.6
20.3
20.4
23.9
26.3
26.5
28.5
29.4
30.4
27.7
23.8
23.6
23.6
25.4
25.2
24.9
23.7
28.4
26.7
28.9
26.4
25.6
19.9
19.3
20.8
21.7
19.5
18.7
14.3
14.1
15.2
14.6
13.8
16.2
13.2
14.0
16.0
13.3
13.1
15.0
13.2
13.4
14.7
14.6
14.7
16.1
15.2
14.0
14.1
13.5
12.6
13.1
13.3
13.6

73.0
73.7
71.9
66.5
66.8
67.5
69.1
69.1
65.8
64.5
61.4
61.6
64.1
64.6
65.1
66.4
67.1
67.0
67.1
65.9
64.3
64.3
65.0
66.1
65.5
66.1
67.1
67.5
67.7
66.3
65.2
64.1
63.9
64.7
65.2
65.5
63.9
58.2
57.5
60.5
59.8
59.2
58.3
58.5
58.2
58.1
57.5
57.2
57.1
57.4
57.4
57.0
57.0
57.2
57.6
58.4
57.3
57.3
57.4
57.1
57.8
57.6
57.6

43.0
43.8
43.5
41.6
42.8
43.3
45.8
46.0
45.7
45.1
44.2
44.1
46.7
48.1
48.8
50.3
51.2
52.0
51.9
50.6
50.8
50.9
52.3
53.4
54.4
55.6
57.2
58.6
58.6
57.8
55.8
55.6
55.5
55.7
56.5
56.5
55.8
52.8
51.7
54.8
54.1
53.6
53.5
53.0
53.1
52.9
52.6
51.9
51.4
52.1
51.1
51.5
52.1
51.8
51.6
52.1
51.9
51.1
51.3
51.2
51.8
51.8
51.6

1 Civilian employment as percent of civilian noninstitutional population in group specified.
2 See footnote 1, Table B–37.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 239

Table B–42. Civilian unemployment rate, 1964–2010
[Percent 1; monthly data seasonally adjusted, except as noted]
Males
All
civilian
Year or month work20 years
Total 16–19
and
Total
ers
years
over
1964 ��������������
1965 ��������������
1966 ��������������
1967 ��������������
1968 ��������������
1969 ��������������
1970 ��������������
1971 ��������������
1972 ��������������
1973 ��������������
1974 ��������������
1975 ��������������
1976 ��������������
1977 ��������������
1978 ��������������
1979 ��������������
1980 ��������������
1981 ��������������
1982 ��������������
1983 ��������������
1984 ��������������
1985 ��������������
1986 ��������������
1987 ��������������
1988 ��������������
1989 ��������������
1990 ��������������
1991 ��������������
1992 ��������������
1993 ��������������
1994 ��������������
1995 ��������������
1996 ��������������
1997 ��������������
1998 ��������������
1999 ��������������
2000 ��������������
2001 ��������������
2002 ��������������
2003 ��������������
2004 ��������������
2005 ��������������
2006 ��������������
2007 ��������������
2008 ��������������
2009 ��������������
2010 ��������������
2009: Jan �����
      Feb �����
      Mar ����
      Apr �����
      May ����
      June ���
      July ����
      Aug ����
      Sept ���
      Oct �����
      Nov ����
      Dec �����
2010: Jan �����
      Feb �����
      Mar ����
      Apr �����
      May ����
      June ���
      July ����
      Aug ����
      Sept ���
      Oct �����
      Nov ����
      Dec �����

5.2
4.5
3.8
3.8
3.6
3.5
4.9
5.9
5.6
4.9
5.6
8.5
7.7
7.1
6.1
5.8
7.1
7.6
9.7
9.6
7.5
7.2
7.0
6.2
5.5
5.3
5.6
6.8
7.5
6.9
6.1
5.6
5.4
4.9
4.5
4.2
4.0
4.7
5.8
6.0
5.5
5.1
4.6
4.6
5.8
9.3
9.6
7.8
8.2
8.6
8.9
9.4
9.5
9.5
9.7
9.8
10.1
9.9
9.9
9.7
9.7
9.7
9.8
9.6
9.5
9.5
9.6
9.6
9.7
9.8
9.4

4.6
4.0
3.2
3.1
2.9
2.8
4.4
5.3
5.0
4.2
4.9
7.9
7.1
6.3
5.3
5.1
6.9
7.4
9.9
9.9
7.4
7.0
6.9
6.2
5.5
5.2
5.7
7.2
7.9
7.2
6.2
5.6
5.4
4.9
4.4
4.1
3.9
4.8
5.9
6.3
5.6
5.1
4.6
4.7
6.1
10.3
10.5
8.5
9.1
9.6
10.0
10.6
10.6
10.6
10.9
11.0
11.4
11.1
10.9
10.8
10.7
10.7
10.7
10.4
10.5
10.4
10.5
10.4
10.4
10.5
10.1

15.8
14.1
11.7
12.3
11.6
11.4
15.0
16.6
15.9
13.9
15.6
20.1
19.2
17.3
15.8
15.9
18.3
20.1
24.4
23.3
19.6
19.5
19.0
17.8
16.0
15.9
16.3
19.8
21.5
20.4
19.0
18.4
18.1
16.9
16.2
14.7
14.0
16.0
18.1
19.3
18.4
18.6
16.9
17.6
21.2
27.8
28.8
24.2
25.2
25.8
26.1
27.5
26.9
28.0
29.4
29.8
30.3
30.7
30.7
30.2
27.7
29.5
29.2
28.2
29.2
29.0
29.5
29.3
29.4
26.6
27.8

3.9
3.2
2.5
2.3
2.2
2.1
3.5
4.4
4.0
3.3
3.8
6.8
5.9
5.2
4.3
4.2
5.9
6.3
8.8
8.9
6.6
6.2
6.1
5.4
4.8
4.5
5.0
6.4
7.1
6.4
5.4
4.8
4.6
4.2
3.7
3.5
3.3
4.2
5.3
5.6
5.0
4.4
4.0
4.1
5.4
9.6
9.8
7.8
8.4
8.9
9.4
9.9
9.9
9.8
10.1
10.2
10.7
10.3
10.2
10.0
10.0
10.0
10.0
9.8
9.8
9.7
9.8
9.7
9.7
9.9
9.4

6.2
5.5
4.8
5.2
4.8
4.7
5.9
6.9
6.6
6.0
6.7
9.3
8.6
8.2
7.2
6.8
7.4
7.9
9.4
9.2
7.6
7.4
7.1
6.2
5.6
5.4
5.5
6.4
7.0
6.6
6.0
5.6
5.4
5.0
4.6
4.3
4.1
4.7
5.6
5.7
5.4
5.1
4.6
4.5
5.4
8.1
8.6
6.9
7.3
7.5
7.6
8.0
8.3
8.3
8.3
8.5
8.7
8.5
8.8
8.4
8.6
8.6
8.7
8.8
8.3
8.5
8.6
8.6
8.8
8.9
8.7

Females

By race
Hispanic Married Women
Both
or
men,
who
sexes
Black or
Latino spouse maintain
20
years
Black
16–19
16–19
Asian
2
pres- families
and
and African
2, 3 ethnicyears White
years
Ameri(NSA)
ity 4
ent
(NSA) 3
over
other 2 can 2
16.6
15.7
14.1
13.5
14.0
13.3
15.6
17.2
16.7
15.3
16.6
19.7
18.7
18.3
17.1
16.4
17.2
19.0
21.9
21.3
18.0
17.6
17.6
15.9
14.4
14.0
14.7
17.5
18.6
17.5
16.2
16.1
15.2
15.0
12.9
13.2
12.1
13.4
14.9
15.6
15.5
14.5
13.8
13.8
16.2
20.7
22.8
17.5
18.6
18.3
18.0
19.0
22.2
20.8
21.2
22.1
23.7
23.0
22.9
21.9
22.2
22.4
21.5
24.7
22.2
23.2
22.9
22.8
24.8
22.3
22.8

5.2
4.5
3.8
4.2
3.8
3.7
4.8
5.7
5.4
4.9
5.5
8.0
7.4
7.0
6.0
5.7
6.4
6.8
8.3
8.1
6.8
6.6
6.2
5.4
4.9
4.7
4.9
5.7
6.3
5.9
5.4
4.9
4.8
4.4
4.1
3.8
3.6
4.1
5.1
5.1
4.9
4.6
4.1
4.0
4.9
7.5
8.0
6.4
6.8
7.0
7.1
7.5
7.7
7.7
7.7
7.9
8.1
7.9
8.2
7.8
8.0
8.0
8.2
8.1
7.8
7.9
8.0
8.0
8.1
8.3
8.1

1 Unemployed as percent of civilian labor force in group specified.
2 See footnote 1, Table B–37.
3 Not seasonally adjusted (NSA).
4 Persons whose ethnicity is identified as Hispanic or Latino may be of any race.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

240 |

Appendix B

16.2
14.8
12.8
12.9
12.7
12.2
15.3
16.9
16.2
14.5
16.0
19.9
19.0
17.8
16.4
16.1
17.8
19.6
23.2
22.4
18.9
18.6
18.3
16.9
15.3
15.0
15.5
18.7
20.1
19.0
17.6
17.3
16.7
16.0
14.6
13.9
13.1
14.7
16.5
17.5
17.0
16.6
15.4
15.7
18.7
24.3
25.9
20.8
21.9
22.1
22.1
23.3
24.6
24.4
25.4
26.1
27.1
26.9
26.8
26.2
25.0
26.0
25.4
26.4
25.8
26.1
26.2
26.0
27.1
24.5
25.4

4.6
4.1
3.4
3.4
3.2
3.1
4.5
5.4
5.1
4.3
5.0
7.8
7.0
6.2
5.2
5.1
6.3
6.7
8.6
8.4
6.5
6.2
6.0
5.3
4.7
4.5
4.8
6.1
6.6
6.1
5.3
4.9
4.7
4.2
3.9
3.7
3.5
4.2
5.1
5.2
4.8
4.4
4.0
4.1
5.2
8.5
8.7
7.1
7.5
8.0
8.1
8.6
8.7
8.7
8.9
9.1
9.4
9.1
9.0
8.7
8.8
8.7
9.0
8.8
8.6
8.6
8.7
8.7
8.8
8.9
8.5

9.6
8.1
7.3
7.4
6.7
6.4
8.2
9.9
10.0
9.0
9.9
13.8
13.1
13.1
11.9
11.3
13.1
14.2
17.3
17.8
14.4
13.7
13.1
11.6
10.4
10.0
10.1
11.1
12.7
11.7
10.5
9.6
9.3
8.8
7.8
7.0
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�����������
�����������
�����������
�����������
�����������
�����������
�����������
�����������
�����������
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�����������
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�����������
�����������
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������������
������������
������������
������������
������������
������������
������������
������������
10.4
9.4
10.5
14.8
14.0
14.0
12.8
12.3
14.3
15.6
18.9
19.5
15.9
15.1
14.5
13.0
11.7
11.4
11.4
12.5
14.2
13.0
11.5
10.4
10.5
10.0
8.9
8.0
7.6
8.6
10.2
10.8
10.4
10.0
8.9
8.3
10.1
14.8
16.0
12.7
13.6
13.5
15.0
15.0
14.9
14.8
15.0
15.4
15.8
15.7
16.2
16.4
15.8
16.5
16.5
15.5
15.4
15.7
16.2
16.1
15.7
16.0
15.8

��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
3.6
4.5
5.9
6.0
4.4
4.0
3.0
3.2
4.0
7.3
7.5
6.2
6.9
6.4
6.6
6.7
8.2
8.3
7.5
7.4
7.5
7.3
8.4
8.4
8.4
7.5
6.8
7.5
7.7
8.2
7.2
6.4
7.1
7.6
7.2

��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
��������������
7.5
8.1
12.2
11.5
10.1
9.1
8.3
10.1
10.4
13.8
13.7
10.7
10.5
10.6
8.8
8.2
8.0
8.2
10.0
11.6
10.8
9.9
9.3
8.9
7.7
7.2
6.4
5.7
6.6
7.5
7.7
7.0
6.0
5.2
5.6
7.6
12.1
12.5
9.9
11.1
11.5
11.4
12.8
12.2
12.5
13.1
12.7
13.1
12.6
12.8
12.5
12.3
12.5
12.4
12.4
12.4
12.1
12.1
12.5
12.6
13.2
13.0

2.8 �������������
2.4 �������������
1.9 �������������
1.8
4.9
1.6
4.4
1.5
4.4
2.6
5.4
3.2
7.3
2.8
7.2
2.3
7.1
2.7
7.0
5.1
10.0
4.2
10.1
3.6
9.4
2.8
8.5
2.8
8.3
4.2
9.2
4.3
10.4
6.5
11.7
6.5
12.2
4.6
10.3
4.3
10.4
4.4
9.8
3.9
9.2
3.3
8.1
3.0
8.1
3.4
8.3
4.4
9.3
5.1
10.0
4.4
9.7
3.7
8.9
3.3
8.0
3.0
8.2
2.7
8.1
2.4
7.2
2.2
6.4
2.0
5.9
2.7
6.6
3.6
8.0
3.8
8.5
3.1
8.0
2.8
7.8
2.4
7.1
2.5
6.5
3.4
8.0
6.6
11.5
6.8
12.3
5.2
10.3
5.7
10.3
6.0
10.8
6.4
10.0
6.8
11.0
6.9
11.7
7.0
12.6
7.0
12.2
7.2
11.6
7.3
12.9
7.3
11.4
7.2
13.0
6.6
12.3
6.8
11.6
6.8
11.3
6.7
11.0
6.7
11.6
6.8
12.1
6.6
13.4
6.8
13.4
6.8
12.9
6.9
12.4
6.9
13.0
6.6
12.0

Table B–43. Civilian unemployment rate by demographic characteristic, 1970–2010
[Percent 1; monthly data seasonally adjusted]
White 2
Year or month

All
civilian
workers

Black and other or black or African American 2

Males
Total

Total

16–19
years

Females
20
years
and
over

Total

16–19
years

Males
20
years
and
over

Total

Total

16–19
years

Females
20
years
and
over

Total

16–19
years

20
years
and
over

Black and other 2

      
1970 ����������������������
1971 ����������������������
1972 ����������������������

4.9
5.9
5.6

4.5
5.4
5.1

4.0
4.9
4.5

13.7
15.1
14.2

3.2
4.0
3.6

5.4
6.3
5.9

13.4
15.1
14.2

4.4
5.3
4.9

8.2
9.9
10.0

7.3
9.1
8.9

      
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

5.6
4.9
5.6
8.5
7.7
7.1
6.1
5.8
7.1
7.6
9.7
9.6
7.5
7.2
7.0
6.2
5.5
5.3
5.6
6.8
7.5
6.9
6.1
5.6
5.4
4.9
4.5
4.2
4.0
4.7
5.8
6.0
5.5
5.1
4.6
4.6
5.8
9.3
9.6
7.8
8.2
8.6
8.9
9.4
9.5
9.5
9.7
9.8
10.1
9.9
9.9
9.7
9.7
9.7
9.8
9.6
9.5
9.5
9.6
9.6
9.7
9.8
9.4

5.1
4.3
5.0
7.8
7.0
6.2
5.2
5.1
6.3
6.7
8.6
8.4
6.5
6.2
6.0
5.3
4.7
4.5
4.8
6.1
6.6
6.1
5.3
4.9
4.7
4.2
3.9
3.7
3.5
4.2
5.1
5.2
4.8
4.4
4.0
4.1
5.2
8.5
8.7
7.1
7.5
8.0
8.1
8.6
8.7
8.7
8.9
9.1
9.4
9.1
9.0
8.7
8.8
8.7
9.0
8.8
8.6
8.6
8.7
8.7
8.8
8.9
8.5

4.5
3.8
4.4
7.2
6.4
5.5
4.6
4.5
6.1
6.5
8.8
8.8
6.4
6.1
6.0
5.4
4.7
4.5
4.9
6.5
7.0
6.3
5.4
4.9
4.7
4.2
3.9
3.6
3.4
4.2
5.3
5.6
5.0
4.4
4.0
4.2
5.5
9.4
9.6
7.6
8.2
8.8
9.1
9.7
9.8
9.8
10.1
10.2
10.5
10.2
10.0
9.8
9.6
9.6
9.9
9.4
9.5
9.4
9.6
9.5
9.5
9.7
9.2

14.2
12.3
13.5
18.3
17.3
15.0
13.5
13.9
16.2
17.9
21.7
20.2
16.8
16.5
16.3
15.5
13.9
13.7
14.3
17.6
18.5
17.7
16.3
15.6
15.5
14.3
14.1
12.6
12.3
13.9
15.9
17.1
16.3
16.1
14.6
15.7
19.1
25.2
26.3
21.7
22.5
23.5
22.8
24.8
24.5
26.2
27.9
26.7
28.4
26.5
27.2
27.6
24.9
27.0
27.2
26.6
27.1
26.2
27.0
26.8
26.0
23.3
25.7

3.6
3.0
3.5
6.2
5.4
4.7
3.7
3.6
5.3
5.6
7.8
7.9
5.7
5.4
5.3
4.8
4.1
3.9
4.3
5.8
6.4
5.7
4.8
4.3
4.1
3.6
3.2
3.0
2.8
3.7
4.7
5.0
4.4
3.8
3.5
3.7
4.9
8.8
8.9
7.0
7.6
8.2
8.5
9.1
9.2
9.1
9.3
9.5
9.8
9.6
9.3
9.1
9.1
8.9
9.3
8.8
8.9
8.8
8.9
8.9
8.9
9.1
8.5

5.9
5.3
6.1
8.6
7.9
7.3
6.2
5.9
6.5
6.9
8.3
7.9
6.5
6.4
6.1
5.2
4.7
4.5
4.7
5.6
6.1
5.7
5.2
4.8
4.7
4.2
3.9
3.8
3.6
4.1
4.9
4.8
4.7
4.4
4.0
4.0
4.9
7.3
7.7
6.4
6.6
7.0
6.9
7.3
7.5
7.5
7.6
7.7
8.0
7.9
7.9
7.3
7.8
7.8
7.8
8.0
7.6
7.6
7.7
7.7
7.9
8.0
7.7

14.2
13.0
14.5
17.4
16.4
15.9
14.4
14.0
14.8
16.6
19.0
18.3
15.2
14.8
14.9
13.4
12.3
11.5
12.6
15.2
15.8
14.7
13.8
13.4
12.9
12.8
10.9
11.3
10.4
11.4
13.1
13.3
13.6
12.3
11.7
12.1
14.4
18.4
20.0
15.4
16.6
17.1
17.4
15.9
19.2
18.6
19.9
19.7
21.1
20.1
20.0
18.9
20.2
20.4
19.6
21.8
19.3
20.4
20.4
19.9
20.8
18.7
19.1

4.9
4.3
5.1
7.5
6.8
6.2
5.2
5.0
5.6
5.9
7.3
6.9
5.8
5.7
5.4
4.6
4.1
4.0
4.1
5.0
5.5
5.2
4.6
4.3
4.1
3.7
3.4
3.3
3.1
3.6
4.4
4.4
4.2
3.9
3.6
3.6
4.4
6.8
7.2
5.9
6.1
6.5
6.4
6.8
6.9
6.9
7.0
7.1
7.4
7.3
7.4
6.8
7.3
7.2
7.3
7.3
7.1
7.1
7.1
7.2
7.3
7.5
7.3

10.4
9.4
10.5
14.8
14.0
14.0
12.8
12.3
14.3
15.6
18.9
19.5
15.9
15.1
14.5
13.0
11.7
11.4
11.4
12.5
14.2
13.0
11.5
10.4
10.5
10.0
8.9
8.0
7.6
8.6
10.2
10.8
10.4
10.0
8.9
8.3
10.1
14.8
16.0
12.7
13.6
13.5
15.0
15.0
14.9
14.8
15.0
15.4
15.8
15.7
16.2
16.4
15.8
16.5
16.5
15.5
15.4
15.7
16.2
16.1
15.7
16.0
15.8

9.3
8.0
9.8
14.8
13.7
13.3
11.8
11.4
14.5
15.7
20.1
20.3
16.4
15.3
14.8
12.7
11.7
11.5
11.9
13.0
15.2
13.8
12.0
10.6
11.1
10.2
8.9
8.2
8.0
9.3
10.7
11.6
11.1
10.5
9.5
9.1
11.4
17.5
18.4
15.6
16.3
16.4
18.4
18.0
17.5
17.2
18.1
17.8
18.3
18.8
18.4
19.0
18.9
20.2
18.5
17.8
18.4
17.8
18.6
18.6
17.7
18.0
17.5

25.0
28.8
29.7

5.6
7.3
6.9

9.3
10.9
11.4

34.5
35.4
38.4

6.9
8.7
8.8

40.5
36.1
37.4
41.0
41.6
43.4
40.8
39.1
39.8
42.2
47.1
48.2
42.6
39.2
39.2
34.9
32.0
33.0
29.9
36.0
37.2
37.4
32.6
34.3
30.3
28.7
25.3
25.1
22.8
27.5
28.3
30.3
28.2
30.3
25.9
25.3
26.8
33.4
40.5
29.5
31.9
26.9
28.1
34.3
33.8
34.0
25.2
32.1
40.7
41.5
42.7
38.7
39.2
35.1
39.7
40.2
37.0
37.7
39.5
50.1
44.0
43.1
45.8

9.0
8.6
8.8
12.2
11.7
12.3
11.2
10.9
11.9
13.4
15.4
16.5
13.5
13.1
12.4
11.6
10.4
9.8
9.7
10.6
11.8
10.7
9.8
8.6
8.7
8.8
7.9
6.8
6.2
7.0
8.8
9.2
8.9
8.5
7.5
6.7
8.1
11.5
12.8
9.3
10.2
10.2
11.3
11.4
11.7
11.8
11.8
12.5
12.5
11.8
13.1
13.2
12.1
12.4
13.8
12.4
11.8
12.9
13.2
12.7
12.8
13.1
13.2

Black or African American 2
31.7
27.8
33.1
38.1
37.5
39.2
36.7
34.2
37.5
40.7
48.9
48.8
42.7
41.0
39.3
34.4
32.7
31.9
31.9
36.3
42.0
40.1
37.6
37.1
36.9
36.5
30.1
30.9
26.2
30.4
31.3
36.0
35.6
36.3
32.7
33.8
35.9
46.0
45.4
44.0
46.3
41.4
44.2
47.2
45.1
39.7
46.1
49.9
41.7
55.5
52.6
47.4
44.4
46.8
37.0
36.4
43.7
44.6
51.2
48.3
51.3
49.5
42.5

7.0
6.0
7.4
12.5
11.4
10.7
9.3
9.3
12.4
13.5
17.8
18.1
14.3
13.2
12.9
11.1
10.1
10.0
10.4
11.5
13.5
12.1
10.3
8.8
9.4
8.5
7.4
6.7
6.9
8.0
9.5
10.3
9.9
9.2
8.3
7.9
10.2
16.3
17.3
14.3
15.0
15.4
17.1
16.7
16.3
16.2
17.0
16.4
17.3
17.0
16.8
17.7
17.8
19.0
17.7
17.1
17.4
16.7
17.2
17.4
16.2
16.6
16.5

11.8
11.1
11.3
14.8
14.3
14.9
13.8
13.3
14.0
15.6
17.6
18.6
15.4
14.9
14.2
13.2
11.7
11.4
10.9
12.0
13.2
12.1
11.0
10.2
10.0
9.9
9.0
7.8
7.1
8.1
9.8
10.2
9.8
9.5
8.4
7.5
8.9
12.4
13.8
10.2
11.1
10.9
12.0
12.4
12.7
12.8
12.3
13.3
13.6
12.9
14.3
14.2
13.1
13.2
14.8
13.5
12.6
13.7
14.1
13.8
14.0
14.2
14.3

1 Unemployed as percent of civilian labor force in group specified.
2 See footnote 1, Table B–37.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 241

Table B–44. Unemployment by duration and reason, 1964–2010
[Thousands of persons, except as noted; monthly data seasonally adjusted 1]
Duration of unemployment
Year or month

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 2 ��������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 ����������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������

Unemployment
3,786
3,366
2,875
2,975
2,817
2,832
4,093
5,016
4,882
4,365
5,156
7,929
7,406
6,991
6,202
6,137
7,637
8,273
10,678
10,717
8,539
8,312
8,237
7,425
6,701
6,528
7,047
8,628
9,613
8,940
7,996
7,404
7,236
6,739
6,210
5,880
5,692
6,801
8,378
8,774
8,149
7,591
7,001
7,078
8,924
14,265
14,825
11,984
12,737
13,278
13,734
14,512
14,776
14,663
14,953
15,149
15,628
15,206
15,212
14,842
14,860
14,943
15,138
14,884
14,593
14,637
14,849
14,746
14,876
15,041
14,485

Less
than 5
weeks
1,697
1,628
1,573
1,634
1,594
1,629
2,139
2,245
2,242
2,224
2,604
2,940
2,844
2,919
2,865
2,950
3,295
3,449
3,883
3,570
3,350
3,498
3,448
3,246
3,084
3,174
3,265
3,480
3,376
3,262
2,728
2,700
2,633
2,538
2,622
2,568
2,558
2,853
2,893
2,785
2,696
2,667
2,614
2,542
2,932
3,165
2,771
3,522
3,399
3,377
3,325
3,230
3,164
3,150
3,000
2,887
3,225
2,767
2,908
2,915
2,729
2,654
2,695
2,763
2,779
2,833
2,756
2,872
2,659
2,824
2,725

5–14
weeks
1,117
983
779
893
810
827
1,290
1,585
1,472
1,314
1,597
2,484
2,196
2,132
1,923
1,946
2,470
2,539
3,311
2,937
2,451
2,509
2,557
2,196
2,007
1,978
2,257
2,791
2,830
2,584
2,408
2,342
2,287
2,138
1,950
1,832
1,815
2,196
2,580
2,612
2,382
2,304
2,121
2,232
2,804
3,828
3,267
3,638
3,931
4,056
4,066
4,387
4,030
3,587
3,975
3,797
3,607
3,475
3,483
3,346
3,380
3,210
3,000
3,060
3,138
3,098
3,604
3,329
3,427
3,336
3,184

15–26
weeks
491
404
287
271
256
242
428
668
601
483
574
1,303
1,018
913
766
706
1,052
1,122
1,708
1,652
1,104
1,025
1,045
943
801
730
822
1,246
1,453
1,297
1,237
1,085
1,053
995
763
755
669
951
1,369
1,442
1,293
1,130
1,031
1,061
1,427
2,775
2,371
2,080
2,425
2,594
2,597
3,003
3,429
2,895
2,822
2,958
3,098
2,955
2,781
2,614
2,703
2,449
2,274
2,174
2,209
2,171
2,210
2,364
2,500
2,515
2,205

27
weeks
and
over
482
351
239
177
156
133
235
519
566
343
381
1,203
1,348
1,028
648
535
820
1,162
1,776
2,559
1,634
1,280
1,187
1,040
809
646
703
1,111
1,954
1,798
1,623
1,278
1,262
1,067
875
725
649
801
1,535
1,936
1,779
1,490
1,235
1,243
1,761
4,496
6,415
2,689
2,982
3,233
3,702
4,005
4,397
4,951
5,051
5,497
5,649
5,919
6,133
6,302
6,131
6,517
6,659
6,710
6,691
6,539
6,261
6,153
6,234
6,328
6,441

Reason for unemployment

Average Median
(mean)
duration duration
(weeks) (weeks)

Job losers 3
Total

On
layoff

242 |

Appendix B

Job
ReNew
leavers entrants entrants

13.3 ������������� ������������� ������������� ������������� ������������� ������������� ���������������
11.8 ������������� ������������� ������������� ������������� ������������� ������������� ���������������
10.4 ������������� ������������� ������������� ������������� ������������� ������������� ���������������
8.7
2.3
1,229
394
836
438
945
396
8.4
4.5
1,070
334
736
431
909
407
7.8
4.4
1,017
339
678
436
965
413
8.6
4.9
1,811
675
1,137
550
1,228
504
11.3
6.3
2,323
735
1,588
590
1,472
630
12.0
6.2
2,108
582
1,526
641
1,456
677
10.0
5.2
1,694
472
1,221
683
1,340
649
9.8
5.2
2,242
746
1,495
768
1,463
681
14.2
8.4
4,386
1,671
2,714
827
1,892
823
15.8
8.2
3,679
1,050
2,628
903
1,928
895
14.3
7.0
3,166
865
2,300
909
1,963
953
11.9
5.9
2,585
712
1,873
874
1,857
885
10.8
5.4
2,635
851
1,784
880
1,806
817
11.9
6.5
3,947
1,488
2,459
891
1,927
872
13.7
6.9
4,267
1,430
2,837
923
2,102
981
15.6
8.7
6,268
2,127
4,141
840
2,384
1,185
20.0
10.1
6,258
1,780
4,478
830
2,412
1,216
18.2
7.9
4,421
1,171
3,250
823
2,184
1,110
15.6
6.8
4,139
1,157
2,982
877
2,256
1,039
15.0
6.9
4,033
1,090
2,943
1,015
2,160
1,029
14.5
6.5
3,566
943
2,623
965
1,974
920
13.5
5.9
3,092
851
2,241
983
1,809
816
11.9
4.8
2,983
850
2,133
1,024
1,843
677
12.0
5.3
3,387
1,028
2,359
1,041
1,930
688
13.7
6.8
4,694
1,292
3,402
1,004
2,139
792
17.7
8.7
5,389
1,260
4,129
1,002
2,285
937
18.0
8.3
4,848
1,115
3,733
976
2,198
919
18.8
9.2
3,815
977
2,838
791
2,786
604
16.6
8.3
3,476
1,030
2,446
824
2,525
579
16.7
8.3
3,370
1,021
2,349
774
2,512
580
15.8
8.0
3,037
931
2,106
795
2,338
569
14.5
6.7
2,822
866
1,957
734
2,132
520
13.4
6.4
2,622
848
1,774
783
2,005
469
12.6
5.9
2,517
852
1,664
780
1,961
434
13.1
6.8
3,476
1,067
2,409
835
2,031
459
16.6
9.1
4,607
1,124
3,483
866
2,368
536
19.2
10.1
4,838
1,121
3,717
818
2,477
641
19.6
9.8
4,197
998
3,199
858
2,408
686
18.4
8.9
3,667
933
2,734
872
2,386
666
16.8
8.3
3,321
921
2,400
827
2,237
616
16.8
8.5
3,515
976
2,539
793
2,142
627
17.9
9.4
4,789
1,176
3,614
896
2,472
766
24.4
15.1
9,160
1,630
7,530
882
3,187
1,035
33.0
21.4
9,250
1,431
7,819
889
3,466
1,220
19.9
10.7
7,420
1,486
5,935
905
2,776
783
20.1
11.6
8,032
1,504
6,528
840
2,917
1,013
20.9
12.2
8,432
1,552
6,880
884
2,991
888
21.6
12.9
8,869
1,657
7,212
878
3,097
916
22.6
14.4
9,396
1,790
7,607
893
3,214
963
24.1
17.4
9,551
1,740
7,811
822
3,343
989
25.2
15.8
9,524
1,767
7,757
882
3,301
998
25.3
16.1
9,729
1,696
8,033
836
3,310
1,074
26.6
18.0 10,056
1,906
8,150
881
3,283
1,139
27.3
18.9 10,076
1,701
8,375
915
3,420
1,099
28.8
20.2
9,763
1,518
8,245
933
3,218
1,319
29.3
20.4
9,688
1,530
8,158
916
3,385
1,244
30.5
20.0
9,287
1,452
7,835
908
3,603
1,210
29.8
19.6
9,493
1,541
7,953
878
3,444
1,220
31.7
20.3
9,368
1,570
7,798
893
3,523
1,185
33.1
21.6
9,237
1,356
7,881
933
3,749
1,217
34.3
22.8
9,194
1,448
7,746
966
3,430
1,192
34.8
25.5
9,097
1,403
7,694
897
3,272
1,147
33.9
21.7
9,090
1,268
7,822
896
3,417
1,197
33.5
20.6
9,285
1,505
7,780
868
3,418
1,260
33.4
20.5
9,286
1,340
7,947
809
3,441
1,193
33.9
21.3
9,070
1,293
7,777
854
3,498
1,278
33.9
21.7
9,471
1,430
8,042
864
3,427
1,269
34.2
22.4
8,923
1,402
7,521
914
3,408
1,311

1 Because of independent seasonal adjustment of the various series, detail will not sum to totals.
2 For 1967, the sum of the unemployed categorized by reason for unemployment does not equal total unemployment.
3 Beginning with January 1994, job losers and persons who completed temporary jobs.

Note: Data relate to persons 16 years of age and over.
See footnote 5 and Note, Table B–35.
Source: Department of Labor (Bureau of Labor Statistics).

Other

Table B–45. Unemployment insurance programs, selected data, 1980–2010
[Thousands of persons, except as noted]
All programs 1

Year or month

1980 �����������������������������������������
1981 �����������������������������������������
1982 �����������������������������������������
1983 �����������������������������������������
1984 �����������������������������������������
1985 �����������������������������������������
1986 �����������������������������������������
1987 �����������������������������������������
1988 �����������������������������������������
1989 �����������������������������������������
1990 �����������������������������������������
1991 �����������������������������������������
1992 �����������������������������������������
1993 �����������������������������������������
1994 �����������������������������������������
1995 �����������������������������������������
1996 �����������������������������������������
1997 �����������������������������������������
1998 �����������������������������������������
1999 �����������������������������������������
2000 �����������������������������������������
2001 �����������������������������������������
2002 �����������������������������������������
2003 �����������������������������������������
2004 �����������������������������������������
2005 �����������������������������������������
2006 �����������������������������������������
2007 �����������������������������������������
2008 �����������������������������������������
2009 �����������������������������������������
2010 p ���������������������������������������
2009: Jan ��������������������������������
      Feb ��������������������������������
      Mar �������������������������������
      Apr ��������������������������������
      May �������������������������������
      June ������������������������������
      July �������������������������������
      Aug �������������������������������
      Sept ������������������������������
      Oct ��������������������������������
      Nov �������������������������������
      Dec ��������������������������������
2010: Jan ��������������������������������
      Feb ��������������������������������
      Mar �������������������������������
      Apr ��������������������������������
      May �������������������������������
      June ������������������������������
      July �������������������������������
      Aug �������������������������������
      Sept ������������������������������
      Oct ��������������������������������
      Nov �������������������������������
      Dec p �����������������������������

Insured
unemployment
(weekly
average) 2
3,521
3,248
4,836
5,216
3,160
2,751
2,667
2,349
2,122
2,158
2,527
3,514
4,906
4,188
2,941
2,648
2,656
2,372
2,264
2,223
2,143
3,012
4,453
4,400
3,103
2,709
2,521
2,612
3,898
9,121
9,718
7,902
8,085
10,305
9,249
9,411
10,394
10,165
10,948
9,998
9,428
10,902
11,790
12,375
11,389
12,804
10,593
10,739
10,308
9,194
11,325
9,360
9,215
9,632
9,402

Total
benefits
paid
(millions
of
dollars)
16,668
15,910
26,649
31,615
18,201
16,444
16,325
14,632
13,500
14,618
18,452
27,004
39,669
34,649
24,261
22,026
22,397
20,333
20,091
21,037
21,005
32,227
53,350
53,352
36,495
32,154
30,917
33,212
51,798
141,404
149,718
8,445.8
8,824.5
11,948.1
11,286.1
11,286.4
12,892.4
12,592.2
12,858.7
12,614.3
11,403.7
12,492.4
14,759.6
14,455.9
13,886.7
16,198.5
12,777.7
12,274.0
12,508.8
10,755.4
13,576.2
11,118.1
10,384.4
11,229.9
10,552.5

Regular State programs

Covered
employment 3

86,918
87,783
86,148
86,867
91,378
94,027
95,946
98,760
101,987
104,750
106,325
104,642
105,187
107,263
110,526
113,504
116,078
119,159
122,427
125,280
128,054
127,923
126,545
126,084
127,618
129,929
132,177
133,688
133,076
126,763
125,077
127,626
127,220
127,142
127,187
127,915
127,805
125,010
125,251
126,275
126,581
126,639
126,502
123,206
123,394
124,351
125,714
126,685
127,112
�������������������
�������������������
�������������������
�������������������
�������������������
�������������������

Insured
unemployment
(weekly
average) 2
3,356
3,045
4,059
3,395
2,475
2,617
2,621
2,300
2,081
2,156
2,522
3,342
3,245
2,751
2,670
2,572
2,595
2,323
2,222
2,188
2,110
2,974
3,585
3,531
2,950
2,661
2,476
2,572
3,306
5,724
4,486
5,870
6,050
7,550
6,634
6,497
6,833
6,444
6,450
5,557
5,077
5,638
5,810
6,114
5,530
6,050
4,949
4,782
4,758
4,551
4,936
4,046
3,944
4,254
4,411

Initial
claims
(weekly
average)
488
460
583
438
377
397
378
328
310
330
388
447
408
341
340
357
356
323
321
298
301
404
407
404
345
328
313
324
424
568
454
804
644
679
641
567
640
632
504
483
537
553
701
640
484
496
482
421
497
502
440
402
442
498
596

Exhaustions
(weekly
average) 4

Insured
unemployment as
percent
of
covered
employment

59
57
80
80
50
49
52
46
38
37
45
67
74
62
57
51
53
48
44
44
41
54
85
85
68
55
51
51
66
145
123
98
98
128
139
156
181
195
198
188
167
166
169
157
137
159
141
137
141
133
135
114
111
117
112

3.9
3.5
4.7
3.9
2.7
2.8
2.7
2.3
2.0
2.1
2.4
3.2
3.1
2.6
2.4
2.3
2.2
1.9
1.8
1.7
1.6
2.3
2.8
2.8
2.3
2.0
1.9
1.9
2.5
4.5
3.6
4.6
4.8
5.9
5.2
5.1
5.3
5.2
5.2
4.4
4.0
4.5
4.6
5.0
4.5
4.9
3.9
3.8
3.7
�������������������
�������������������
�������������������
�������������������
�������������������
�������������������

Benefits paid
Total
(millions
of
dollars)
14,887
14,568
21,769
19,025
13,642
14,941
16,188
14,561
13,483
14,603
18,413
25,924
26,048
22,599
22,338
21,925
22,349
20,287
20,017
21,001
20,983
32,135
42,266
41,896
35,034
32,098
30,852
33,156
43,764
80,584
59,835
6,211.3
6,533.2
8,223.3
7,402.7
7,024.1
7,681.1
7,104.9
6,758.0
6,221.8
5,382.8
5,701.8
6,338.6
6,230.0
5,963.6
6,739.1
5,207.6
4,754.0
5,038.8
4,507.7
4,796.8
4,070.5
3,763.2
4,262.6
4,501.3

Average
weekly
check
(dollars) 5
99.06
106.61
119.34
123.59
123.47
128.09
135.65
140.39
144.74
151.43
161.20
169.56
173.38
179.41
181.91
187.04
189.27
192.84
200.58
212.10
221.01
238.07
256.79
261.67
262.50
266.63
277.20
287.73
297.10
309.49
301.43
306.17
308.36
305.03
312.11
314.16
312.39
311.21
308.38
310.93
309.53
306.69
308.41
307.63
307.40
306.24
305.29
303.55
299.86
296.77
293.54
297.99
297.23
295.10
299.05

1 Includes State Unemployment Insurance (State), Unemployment Compensation for Federal Employees (UCFE), Unemployment Compensation for Ex-service
members (UCX), and Federal and State extended benefit programs. Also includes temporary Federal emergency programs: Federal Supplemental Compensation
(1982–1985), Emergency Unemployment Compensation (EUC, 1991–1994), Temporary Extended Unemployment Compensation (2002–2004), EUC 2008
(2008–2010), and Federal Additional Compensation (2009–2010).
2 The number of people continuing to receive benefits.
3 Workers covered by regular State Unemployment Insurance programs.
4 Individuals receiving final payments in benefit year.
5 For total unemployment only. Excludes partial payments.
Note: Includes data for the District of Columbia, Puerto Rico, and the Virgin Islands.
Source: Department of Labor (Employment and Training Administration).

Population, Employment, Wages, and Productivity

| 243

Table B–46. Employees on nonagricultural payrolls, by major industry, 1965–2010
[Thousands of persons; monthly data seasonally adjusted]
Private industries

Year or month

1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov p ����������
      Dec p ����������

Total
nonagricultural
employment

60,874
64,020
65,931
68,023
70,512
71,006
71,335
73,798
76,912
78,389
77,069
79,502
82,593
86,826
89,932
90,528
91,289
89,677
90,280
94,530
97,511
99,474
102,088
105,345
108,014
109,487
108,375
108,726
110,844
114,291
117,298
119,708
122,776
125,930
128,993
131,785
131,826
130,341
129,999
131,435
133,703
136,086
137,598
136,790
130,920
130,262
133,549
132,823
132,070
131,542
131,155
130,640
130,294
130,082
129,857
129,633
129,697
129,588
129,602
129,641
129,849
130,162
130,594
130,419
130,353
130,352
130,328
130,538
130,609
130,712

Goods-producing industries
Total
private

50,683
53,110
54,406
56,050
58,181
58,318
58,323
60,333
63,050
64,086
62,250
64,501
67,334
71,014
73,864
74,154
75,109
73,695
74,269
78,371
80,978
82,636
84,932
87,806
90,087
91,072
89,829
89,940
91,855
95,016
97,865
100,169
103,113
106,021
108,686
110,995
110,708
108,828
108,416
109,814
111,899
114,113
115,380
114,281
108,371
107,791
110,961
110,254
109,510
108,861
108,527
108,075
107,778
107,563
107,377
107,115
107,190
107,107
107,123
107,185
107,343
107,584
107,635
107,696
107,813
107,956
108,068
108,261
108,340
108,453

Total

20,595
21,740
21,882
22,292
22,893
22,179
21,602
22,299
23,450
23,364
21,318
22,025
22,972
24,156
24,997
24,263
24,118
22,550
22,110
23,435
23,585
23,318
23,470
23,909
24,045
23,723
22,588
22,095
22,219
22,774
23,156
23,409
23,886
24,354
24,465
24,649
23,873
22,557
21,816
21,882
22,190
22,531
22,233
21,334
18,620
17,987
19,855
19,559
19,233
18,956
18,731
18,503
18,375
18,245
18,124
17,993
17,960
17,906
17,876
17,848
17,905
17,972
17,993
17,994
18,031
18,048
18,038
18,048
18,043
18,041

Mining
and
logging
694
690
679
671
683
677
658
672
693
755
802
832
865
902
1,008
1,077
1,180
1,163
997
1,014
974
829
771
770
750
765
739
689
666
659
641
637
654
645
598
599
606
583
572
591
628
684
724
767
700
729
761
747
728
714
700
692
687
678
676
669
676
676
684
691
702
709
720
726
733
742
749
759
764
768

Construction
3,284
3,371
3,305
3,410
3,637
3,654
3,770
3,957
4,167
4,095
3,608
3,662
3,940
4,322
4,562
4,454
4,304
4,024
4,065
4,501
4,793
4,937
5,090
5,233
5,309
5,263
4,780
4,608
4,779
5,095
5,274
5,536
5,813
6,149
6,545
6,787
6,826
6,716
6,735
6,976
7,336
7,691
7,630
7,162
6,037
5,614
6,551
6,435
6,293
6,179
6,120
6,029
5,949
5,885
5,814
5,747
5,732
5,696
5,636
5,585
5,612
5,634
5,605
5,596
5,594
5,628
5,617
5,621
5,619
5,603

Private service-providing industries
Trade, transportation,
and utilities 1

Manufacturing
Total
16,617
17,680
17,897
18,211
18,573
17,848
17,174
17,669
18,589
18,514
16,909
17,531
18,167
18,932
19,426
18,733
18,634
17,363
17,048
17,920
17,819
17,552
17,609
17,906
17,985
17,695
17,068
16,799
16,774
17,020
17,241
17,237
17,419
17,560
17,322
17,263
16,441
15,259
14,510
14,315
14,226
14,155
13,879
13,406
11,883
11,644
12,543
12,377
12,212
12,063
11,911
11,782
11,739
11,682
11,634
11,577
11,552
11,534
11,556
11,572
11,591
11,629
11,668
11,672
11,704
11,678
11,672
11,668
11,660
11,670

Durable
goods
9,973
10,803
10,952
11,137
11,396
10,762
10,229
10,630
11,414
11,432
10,266
10,640
11,132
11,770
12,220
11,679
11,611
10,610
10,326
11,050
11,034
10,795
10,767
10,969
11,004
10,737
10,220
9,946
9,901
10,132
10,373
10,486
10,705
10,911
10,831
10,877
10,336
9,485
8,964
8,925
8,956
8,981
8,808
8,463
7,309
7,151
7,820
7,702
7,580
7,450
7,326
7,222
7,197
7,151
7,112
7,070
7,047
7,036
7,062
7,071
7,095
7,123
7,159
7,166
7,201
7,180
7,185
7,186
7,184
7,194

Nondurable
goods
6,644
6,878
6,945
7,074
7,177
7,086
6,944
7,039
7,176
7,082
6,643
6,891
7,035
7,162
7,206
7,054
7,023
6,753
6,722
6,870
6,784
6,757
6,842
6,938
6,981
6,958
6,848
6,853
6,872
6,889
6,868
6,751
6,714
6,649
6,491
6,386
6,105
5,774
5,546
5,390
5,271
5,174
5,071
4,943
4,574
4,493
4,723
4,675
4,632
4,613
4,585
4,560
4,542
4,531
4,522
4,507
4,505
4,498
4,494
4,501
4,496
4,506
4,509
4,506
4,503
4,498
4,487
4,482
4,476
4,476

Total
Total
30,089
31,370
32,524
33,759
35,288
36,139
36,721
38,034
39,600
40,721
40,932
42,476
44,362
46,858
48,868
49,891
50,991
51,145
52,160
54,936
57,393
59,318
61,462
63,897
66,042
67,349
67,241
67,845
69,636
72,242
74,710
76,760
79,227
81,667
84,221
86,346
86,834
86,271
86,600
87,932
89,709
91,582
93,147
92,947
89,751
89,804
91,106
90,695
90,277
89,905
89,796
89,572
89,403
89,318
89,253
89,122
89,230
89,201
89,247
89,337
89,438
89,612
89,642
89,702
89,782
89,908
90,030
90,213
90,297
90,412

12,139
12,611
12,950
13,334
13,853
14,144
14,318
14,788
15,349
15,693
15,606
16,128
16,765
17,658
18,303
18,413
18,604
18,457
18,668
19,653
20,379
20,795
21,302
21,974
22,510
22,666
22,281
22,125
22,378
23,128
23,834
24,239
24,700
25,186
25,771
26,225
25,983
25,497
25,287
25,533
25,959
26,276
26,630
26,293
24,949
24,763
25,475
25,330
25,174
25,052
24,997
24,943
24,845
24,819
24,754
24,670
24,678
24,653
24,666
24,667
24,714
24,741
24,742
24,741
24,771
24,779
24,795
24,849
24,849
24,880

Retail
trade
6,262
6,530
6,711
6,977
7,295
7,463
7,657
8,038
8,371
8,536
8,600
8,966
9,359
9,879
10,180
10,244
10,364
10,372
10,635
11,223
11,733
12,078
12,419
12,808
13,108
13,182
12,896
12,828
13,021
13,491
13,897
14,143
14,389
14,609
14,970
15,280
15,239
15,025
14,917
15,058
15,280
15,353
15,520
15,283
14,528
14,444
14,792
14,723
14,635
14,592
14,570
14,546
14,492
14,477
14,429
14,366
14,375
14,360
14,409
14,416
14,439
14,453
14,448
14,431
14,442
14,449
14,445
14,483
14,464
14,476

1 Includes wholesale trade, transportation and warehousing, and utilities, not shown separately.

Note: Data in Tables B–46 and B–47 are based on reports from employing establishments and relate to full- and part-time wage and salary workers in
nonagricultural establishments who received pay for any part of the pay period that includes the 12th of the month. Not comparable with labor force data (Tables
B–35 through B–44), which include proprietors, self-employed persons, unpaid family workers, and private household workers; which count persons as employed
when they are not at work because of industrial disputes, bad weather, etc., even if they are not paid for the time off; which are based on a sample of the
See next page for continuation of table.

244 |

Appendix B

Table B–46. Employees on nonagricultural payrolls, by major industry,
1965–2010—Continued
[Thousands of persons; monthly data seasonally adjusted]
Private industries—Continued

Government

Private service-providing industries—Continued
Year or month
Information
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov p ����������
      Dec p ����������

1,824
1,908
1,955
1,991
2,048
2,041
2,009
2,056
2,135
2,160
2,061
2,111
2,185
2,287
2,375
2,361
2,382
2,317
2,253
2,398
2,437
2,445
2,507
2,585
2,622
2,688
2,677
2,641
2,668
2,738
2,843
2,940
3,084
3,218
3,419
3,630
3,629
3,395
3,188
3,118
3,061
3,038
3,032
2,984
2,807
2,723
2,888
2,873
2,861
2,837
2,812
2,797
2,785
2,776
2,777
2,774
2,762
2,748
2,745
2,739
2,728
2,727
2,725
2,711
2,717
2,724
2,717
2,713
2,715
2,711

Financial
activities
2,878
2,961
3,087
3,234
3,404
3,532
3,651
3,784
3,920
4,023
4,047
4,155
4,348
4,599
4,843
5,025
5,163
5,209
5,334
5,553
5,815
6,128
6,385
6,500
6,562
6,614
6,558
6,540
6,709
6,867
6,827
6,969
7,178
7,462
7,648
7,687
7,808
7,847
7,977
8,031
8,153
8,328
8,301
8,145
7,758
7,597
7,945
7,894
7,852
7,805
7,773
7,742
7,719
7,695
7,683
7,664
7,666
7,657
7,635
7,628
7,609
7,611
7,602
7,591
7,581
7,578
7,582
7,585
7,581
7,585

Professional and
business
services
4,306
4,517
4,720
4,918
5,156
5,267
5,328
5,523
5,774
5,974
6,034
6,287
6,587
6,972
7,312
7,544
7,782
7,848
8,039
8,464
8,871
9,211
9,608
10,090
10,555
10,848
10,714
10,970
11,495
12,174
12,844
13,462
14,335
15,147
15,957
16,666
16,476
15,976
15,987
16,394
16,954
17,566
17,942
17,735
16,580
16,697
17,091
16,920
16,774
16,636
16,585
16,453
16,405
16,371
16,349
16,360
16,466
16,488
16,511
16,567
16,568
16,638
16,664
16,697
16,692
16,730
16,758
16,798
16,847
16,854

Education
and
health
services
3,587
3,770
3,986
4,191
4,428
4,577
4,675
4,863
5,092
5,322
5,497
5,756
6,052
6,427
6,767
7,072
7,357
7,515
7,766
8,193
8,657
9,061
9,515
10,063
10,616
10,984
11,506
11,891
12,303
12,807
13,289
13,683
14,087
14,446
14,798
15,109
15,645
16,199
16,588
16,953
17,372
17,826
18,322
18,838
19,191
19,560
19,069
19,085
19,095
19,099
19,137
19,165
19,186
19,221
19,247
19,282
19,313
19,350
19,370
19,400
19,449
19,477
19,502
19,532
19,558
19,599
19,625
19,691
19,728
19,772

Leisure
and
hospitality
3,951
4,127
4,269
4,453
4,670
4,789
4,914
5,121
5,341
5,471
5,544
5,794
6,065
6,411
6,631
6,721
6,840
6,874
7,078
7,489
7,869
8,156
8,446
8,778
9,062
9,288
9,256
9,437
9,732
10,100
10,501
10,777
11,018
11,232
11,543
11,862
12,036
11,986
12,173
12,493
12,816
13,110
13,427
13,436
13,102
13,112
13,209
13,183
13,137
13,103
13,126
13,105
13,101
13,083
13,099
13,045
13,024
12,991
13,003
13,026
13,049
13,085
13,070
13,100
13,111
13,135
13,173
13,172
13,184
13,231

Other
services
1,404
1,475
1,558
1,638
1,731
1,789
1,827
1,900
1,990
2,078
2,144
2,244
2,359
2,505
2,637
2,755
2,865
2,924
3,021
3,186
3,366
3,523
3,699
3,907
4,116
4,261
4,249
4,240
4,350
4,428
4,572
4,690
4,825
4,976
5,087
5,168
5,258
5,372
5,401
5,409
5,395
5,438
5,494
5,515
5,364
5,353
5,429
5,410
5,384
5,373
5,366
5,367
5,362
5,353
5,344
5,327
5,321
5,314
5,317
5,310
5,321
5,333
5,337
5,330
5,352
5,363
5,380
5,405
5,393
5,379

Total

10,191
10,910
11,525
11,972
12,330
12,687
13,012
13,465
13,862
14,303
14,820
15,001
15,258
15,812
16,068
16,375
16,180
15,982
16,011
16,159
16,533
16,838
17,156
17,540
17,927
18,415
18,545
18,787
18,989
19,275
19,432
19,539
19,664
19,909
20,307
20,790
21,118
21,513
21,583
21,621
21,804
21,974
22,218
22,509
22,549
22,471
22,588
22,569
22,560
22,681
22,628
22,565
22,516
22,519
22,480
22,518
22,507
22,481
22,479
22,456
22,506
22,578
22,959
22,723
22,540
22,396
22,260
22,277
22,269
22,259

Federal

2,495
2,690
2,852
2,871
2,893
2,865
2,828
2,815
2,794
2,858
2,882
2,863
2,859
2,893
2,894
3,000
2,922
2,884
2,915
2,943
3,014
3,044
3,089
3,124
3,136
3,196
3,110
3,111
3,063
3,018
2,949
2,877
2,806
2,772
2,769
2,865
2,764
2,766
2,761
2,730
2,732
2,732
2,734
2,762
2,828
2,959
2,803
2,792
2,797
2,919
2,865
2,810
2,816
2,815
2,818
2,836
2,833
2,824
2,857
2,860
2,910
2,988
3,396
3,173
3,030
2,919
2,843
2,838
2,842
2,852

State

1,996
2,141
2,302
2,442
2,533
2,664
2,747
2,859
2,923
3,039
3,179
3,273
3,377
3,474
3,541
3,610
3,640
3,640
3,662
3,734
3,832
3,893
3,967
4,076
4,182
4,305
4,355
4,408
4,488
4,576
4,635
4,606
4,582
4,612
4,709
4,786
4,905
5,029
5,002
4,982
5,032
5,075
5,122
5,177
5,180
5,175
5,197
5,188
5,183
5,184
5,189
5,177
5,154
5,172
5,173
5,182
5,172
5,178
5,169
5,175
5,174
5,169
5,157
5,159
5,175
5,158
5,170
5,182
5,184
5,184

Local

5,700
6,080
6,371
6,660
6,904
7,158
7,437
7,790
8,146
8,407
8,758
8,865
9,023
9,446
9,633
9,765
9,619
9,458
9,434
9,482
9,687
9,901
10,100
10,339
10,609
10,914
11,081
11,267
11,438
11,682
11,849
12,056
12,276
12,525
12,829
13,139
13,449
13,718
13,820
13,909
14,041
14,167
14,362
14,571
14,542
14,338
14,588
14,589
14,580
14,578
14,574
14,578
14,546
14,532
14,489
14,500
14,502
14,479
14,453
14,421
14,422
14,421
14,406
14,391
14,335
14,319
14,247
14,257
14,243
14,223

Note (cont’d): working-age population; and which count persons only once—as employed, unemployed, or not in the labor force. In the data shown here,
persons who work at more than one job are counted each time they appear on a payroll.
Establishment data for employment, hours, and earnings are classified based on the 2007 North American Industry Classification System (NAICS).
For further description and details see Employment and Earnings.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 245

Table B–47. Hours and earnings in private nonagricultural industries, 1964–2010 1
[Monthly data seasonally adjusted]
Average weekly hours
Year or month

1964 ����������������������
1965 ����������������������
1966 ����������������������
1967 ����������������������
1968 ����������������������
1969 ����������������������
1970 ����������������������
1971 ����������������������
1972 ����������������������
1973 ����������������������
1974 ����������������������
1975 ����������������������
1976 ����������������������
1977 ����������������������
1978 ����������������������
1979 ����������������������
1980 ����������������������
1981 ����������������������
1982 ����������������������
1983 ����������������������
1984 ����������������������
1985 ����������������������
1986 ����������������������
1987 ����������������������
1988 ����������������������
1989 ����������������������
1990 ����������������������
1991 ����������������������
1992 ����������������������
1993 ����������������������
1994 ����������������������
1995 ����������������������
1996 ����������������������
1997 ����������������������
1998 ����������������������
1999 ����������������������
2000 ����������������������
2001 ����������������������
2002 ����������������������
2003 ����������������������
2004 ����������������������
2005 ����������������������
2006 ����������������������
2007 ����������������������
2008 ����������������������
2009 ����������������������
2010 p ��������������������
2009: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov ������������
      Dec �������������
2010: Jan �������������
      Feb �������������
      Mar ������������
      Apr �������������
      May ������������
      June �����������
      July ������������
      Aug ������������
      Sept �����������
      Oct �������������
      Nov p ����������
      Dec p ����������

Total
private
38.5
38.6
38.5
37.9
37.7
37.5
37.0
36.8
36.9
36.9
36.4
36.0
36.1
35.9
35.8
35.6
35.2
35.2
34.7
34.9
35.1
34.9
34.7
34.7
34.6
34.5
34.3
34.1
34.2
34.3
34.5
34.3
34.3
34.5
34.5
34.3
34.3
34.0
33.9
33.7
33.7
33.8
33.9
33.9
33.6
33.1
33.4
33.3
33.2
33.1
33.1
33.1
33.0
33.1
33.1
33.1
33.0
33.2
33.2
33.3
33.2
33.3
33.4
33.5
33.4
33.4
33.5
33.5
33.6
33.5
33.6

Average hourly earnings

Manufacturing
Total
40.8
41.2
41.4
40.6
40.7
40.6
39.8
39.9
40.6
40.7
40.0
39.5
40.1
40.3
40.4
40.2
39.7
39.8
38.9
40.1
40.7
40.5
40.7
40.9
41.0
40.9
40.5
40.4
40.7
41.1
41.7
41.3
41.3
41.7
41.4
41.4
41.3
40.3
40.5
40.4
40.8
40.7
41.1
41.2
40.8
39.8
41.1
39.8
39.5
39.4
39.6
39.5
39.5
39.9
40.0
39.9
40.0
40.5
40.5
40.9
40.5
41.0
41.2
41.5
41.0
41.1
41.1
41.2
41.2
41.2
41.2

Total private

Overtime
3.1
3.6
3.9
3.3
3.5
3.6
2.9
2.9
3.4
3.8
3.2
2.6
3.1
3.4
3.6
3.3
2.8
2.8
2.3
2.9
3.4
3.3
3.4
3.7
3.8
3.8
3.9
3.8
4.0
4.4
5.0
4.7
4.8
5.1
4.9
4.9
4.7
4.0
4.2
4.2
4.6
4.6
4.4
4.2
3.7
2.9
3.8
2.8
2.7
2.6
2.8
2.8
2.8
3.0
3.0
3.0
3.2
3.4
3.4
3.6
3.5
3.7
3.8
3.9
3.9
3.8
3.8
3.9
3.9
4.0
4.0

Current
dollars
$2.53
2.63
2.73
2.85
3.02
3.22
3.40
3.63
3.90
4.14
4.43
4.73
5.06
5.44
5.88
6.34
6.85
7.44
7.87
8.20
8.49
8.74
8.93
9.14
9.44
9.80
10.20
10.52
10.77
11.05
11.34
11.65
12.04
12.51
13.01
13.49
14.02
14.54
14.97
15.37
15.69
16.13
16.76
17.43
18.08
18.62
19.04
18.43
18.47
18.52
18.53
18.55
18.57
18.62
18.69
18.71
18.78
18.80
18.85
18.90
18.92
18.90
18.95
19.00
19.02
19.04
19.09
19.11
19.18
19.19
19.21

1982–84
dollars 2
$8.11
8.30
8.37
8.48
8.63
8.73
8.72
8.92
9.26
9.26
8.93
8.74
8.85
8.93
8.96
8.67
8.26
8.14
8.12
8.22
8.22
8.18
8.22
8.12
8.07
7.99
7.91
7.83
7.79
7.78
7.79
7.78
7.81
7.94
8.15
8.27
8.30
8.38
8.51
8.55
8.50
8.45
8.50
8.60
8.57
8.88
8.90
8.92
8.90
8.93
8.93
8.93
8.86
8.87
8.86
8.85
8.86
8.85
8.85
8.85
8.86
8.84
8.88
8.93
8.95
8.93
8.92
8.92
8.92
8.92
8.87

Average weekly earnings, total private

Manufacturing
(current
dollars)
$2.41
2.49
2.60
2.71
2.89
3.07
3.23
3.45
3.70
3.97
4.31
4.71
5.09
5.55
6.05
6.57
7.15
7.86
8.36
8.70
9.05
9.40
9.59
9.77
10.05
10.35
10.78
11.13
11.40
11.70
12.04
12.34
12.75
13.14
13.45
13.85
14.32
14.76
15.29
15.74
16.14
16.56
16.81
17.26
17.75
18.23
18.57
18.01
18.09
18.14
18.15
18.15
18.17
18.26
18.31
18.39
18.41
18.38
18.38
18.42
18.47
18.47
18.48
18.56
18.54
18.57
18.59
18.64
18.66
18.66
18.66

Percent change
from year earlier

Level
Current
dollars
$97.41
101.52
105.11
108.02
113.85
120.75
125.80
133.58
143.91
152.77
161.25
170.28
182.67
195.30
210.50
225.70
241.12
261.89
273.09
286.18
298.00
305.03
309.87
317.16
326.62
338.10
349.75
358.51
368.25
378.91
391.22
400.07
413.28
431.86
448.56
463.15
481.01
493.79
506.75
518.06
529.09
544.33
567.87
590.04
607.95
617.11
636.15
613.72
613.20
613.01
613.34
614.01
612.81
616.32
618.64
619.30
619.74
624.16
625.82
629.37
628.14
629.37
632.93
636.50
635.27
635.94
639.52
640.19
644.45
642.87
645.46

1982–84
dollars 2

246 |

Appendix B

1982–84
dollars 2

$312.21 ������������������� ��������������������
320.25
4.2
2.6
322.42
3.5
.7
321.49
2.8
–.3
325.29
5.4
1.2
327.24
6.1
.6
322.56
4.2
–1.4
327.32
6.2
1.5
341.83
7.7
4.4
341.77
6.2
.0
325.10
5.6
–4.9
314.75
5.6
–3.2
319.35
7.3
1.5
320.69
6.9
.4
320.88
7.8
.1
308.76
7.2
–3.8
290.86
6.8
–5.8
286.53
8.6
–1.5
281.83
4.3
–1.6
286.75
4.8
1.7
288.48
4.1
.6
285.34
2.4
–1.1
285.33
1.6
.0
281.92
2.4
–1.2
279.16
3.0
–1.0
275.77
3.5
–1.2
271.12
3.4
–1.7
266.95
2.5
–1.5
266.46
2.7
–.2
266.65
2.9
.1
268.70
3.2
.8
267.07
2.3
–.6
268.19
3.3
.4
274.02
4.5
2.2
280.88
3.9
2.5
283.79
3.3
1.0
284.79
3.9
.4
284.61
2.7
–.1
288.09
2.6
1.2
288.13
2.2
.0
286.77
2.1
–.5
284.99
2.9
–.6
288.11
4.3
1.1
290.99
3.9
1.0
288.06
3.0
–1.0
294.38
1.5
2.2
297.31
3.1
1.0
297.11
2.5
3.3
295.41
2.1
2.6
295.66
1.4
2.4
295.56
1.2
2.4
295.53
1.2
2.9
292.37
.7
2.5
293.67
1.2
3.9
293.28
.9
2.9
293.02
1.5
3.3
292.47
1.2
1.5
293.84
2.0
–.3
293.92
2.2
–1.2
294.60
2.6
–.8
294.01
2.4
–.5
294.41
2.7
–.4
296.49
3.2
.3
298.99
3.7
1.2
298.97
3.7
2.3
298.18
3.2
1.5
298.81
3.4
1.9
298.67
3.4
1.9
299.74
4.0
2.5
298.87
3.0
1.7
298.19
3.1
1.5

1 For production or nonsupervisory workers; total includes private industry groups shown in Table B–46.
2 Current dollars divided by the consumer price index for urban wage earners and clerical workers on a 1982–84=100 base.

Note: See Note, Table B–46.
Source: Department of Labor (Bureau of Labor Statistics).

Current
dollars

Table B–48. Employment cost index, private industry, 1997–2010
Total private
Year and month

Total
compensation

Service-providing 1

Goods-producing

Wages
Total
and
Benefits 2 compensalaries
sation

Wages
Total
and
Benefits 2 compensalaries
sation

Manufacturing

Wages
Total
and
Benefits 2 compensalaries
sation

Wages
and
salaries

Benefits 2

74.6
76.6
79.2
82.3
85.3

78.6
81.3
84.1
87.1
90.2

67.4
67.9
70.3
73.6
76.3

85.5
88.7
92.4
96.9
100.0
101.8
103.8
105.9
107.0
110.0
108.4
109.1
109.9
110.0

90.2
92.8
95.1
97.4
100.0
102.3
104.9
107.7
108.9
110.7
109.4
110.0
110.6
110.7

77.2
81.3
87.3
96.0
100.0
100.8
101.7
102.5
103.6
108.8
106.6
107.4
108.7
108.8

106.4
106.7
106.8
107.2
108.3
109.0
109.9
110.2

108.0
108.3
108.6
109.1
109.3
109.9
110.5
111.0

103.4
103.6
103.4
103.7
106.6
107.4
108.7
108.9

Indexes on SIC basis, December 2005=100; not seasonally adjusted
December:
1997 ����������������
1998 ����������������
1999 ����������������
2000 ����������������
2001 ����������������

74.9
77.5
80.2
83.6
87.1

77.6
80.6
83.5
86.7
90.0

68.5
70.2
72.6
76.7
80.6

2001 3 ��������������
2002 ����������������
2003 ����������������
2004 ����������������
2005 ����������������
2006 ����������������
2007 ����������������
2008 ����������������
2009 ����������������
2010 ����������������
2010: Mar ������������
      June �����������
      Sept �����������
      Dec �������������

87.3
90.0
93.6
97.2
100.0
103.2
106.3
108.9
110.2
112.5
111.1
111.7
112.2
112.5

89.9
92.2
95.1
97.6
100.0
103.2
106.6
109.4
110.8
112.8
111.4
111.9
112.4
112.8

81.3
84.7
90.2
96.2
100.0
103.1
105.6
107.7
108.7
111.9
110.4
111.0
111.7
111.9

2009: Mar ������������
      June �����������
      Sept �����������
      Dec �������������
2010: Mar ������������
      June �����������
      Sept �����������
      Dec �������������

109.3
109.6
110.0
110.4
111.1
111.6
112.1
112.6

109.8
110.1
110.5
111.0
111.3
111.9
112.4
112.9

108.1
108.3
108.6
108.9
110.4
111.0
111.6
112.1

74.5
76.5
79.1
82.6
85.7

78.3
81.1
83.8
87.1
90.2

67.3
68.1
70.5
74.3
77.3

75.1
78.0
80.6
84.2
87.8

77.4
80.5
83.4
86.6
89.9

69.2
71.4
73.8
78.1
82.5

Indexes on NAICS basis, December 2005=100; not seasonally adjusted
86.0
89.0
92.6
96.9
100.0
102.5
105.0
107.5
108.6
111.1
109.7
110.3
111.0
111.1

90.0
92.6
94.9
97.2
100.0
102.9
106.0
109.0
110.0
111.6
110.5
110.9
111.5
111.6

78.5
82.3
88.2
96.3
100.0
101.7
103.2
104.7
105.8
110.1
108.4
109.0
110.0
110.1

87.8
90.4
94.0
97.3
100.0
103.4
106.7
109.4
110.8
113.0
111.6
112.1
112.6
113.0

89.8
92.1
95.2
97.7
100.0
103.3
106.8
109.6
111.1
113.1
111.7
112.3
112.7
113.1

82.4
85.8
91.0
96.1
100.0
103.7
106.6
108.9
109.9
112.6
111.3
111.9
112.3
112.6

Indexes on NAICS basis, December 2005=100; seasonally adjusted
107.9
108.1
108.3
108.7
109.7
110.2
110.9
111.2

109.2
109.4
109.8
110.2
110.5
110.8
111.5
111.8

105.4
105.6
105.6
106.0
108.4
108.9
109.9
110.2

109.7
110.0
110.5
110.9
111.5
112.1
112.5
113.1

110.0
110.3
110.7
111.2
111.6
112.2
112.6
113.2

109.2
109.4
109.8
110.1
111.2
111.8
112.3
112.8

Percent change from 12 months earlier, not seasonally adjusted
December:
SIC:
1997 ����������������
1998 ����������������
1999 ����������������
2000 ����������������
2001 ����������������
NAICS:
2001 3 ��������������
2002 ����������������
2003 ����������������
2004 ����������������
2005 ����������������
2006 ����������������
2007 ����������������
2008 ����������������
2009 ����������������
2010 ����������������
2010: Mar ������������
      June �����������
      Sept �����������
      Dec �������������

3.5
3.5
3.5
4.2
4.2

3.9
3.9
3.6
3.8
3.8

2.2
2.5
3.4
5.6
5.1

2.5
2.7
3.4
4.4
3.8

3.0
3.6
3.3
3.9
3.6

1.4
1.2
3.5
5.4
4.0

3.9
3.9
3.3
4.5
4.3

4.3
4.0
3.6
3.8
3.8

2.8
3.2
3.4
5.8
5.6

2.3
2.7
3.4
3.9
3.6

3.0
3.4
3.4
3.6
3.6

1.4
.7
3.5
4.7
3.7

4.1
3.1
4.0
3.8
2.9
3.2
3.0
2.4
1.2
2.1
1.6
1.9
2.0
2.1

3.8
2.6
3.1
2.6
2.5
3.2
3.3
2.6
1.3
1.8
1.5
1.6
1.6
1.8

5.2
4.2
6.5
6.7
4.0
3.1
2.4
2.0
.9
2.9
2.0
2.4
2.8
2.9

3.6
3.5
4.0
4.6
3.2
2.5
2.4
2.4
1.0
2.3
1.7
1.9
2.4
2.3

3.6
2.9
2.5
2.4
2.9
2.9
3.0
2.8
.9
1.5
1.2
1.3
1.5
1.5

3.7
4.8
7.2
9.2
3.8
1.7
1.5
1.5
1.1
4.1
2.8
3.1
4.1
4.1

4.4
3.0
4.0
3.5
2.8
3.4
3.2
2.5
1.3
2.0
1.6
1.8
1.9
2.0

3.8
2.6
3.4
2.6
2.4
3.3
3.4
2.6
1.4
1.8
1.5
1.8
1.7
1.8

5.6
4.1
6.1
5.6
4.1
3.7
2.8
2.2
.9
2.5
1.8
2.2
2.2
2.5

3.4
3.7
4.2
4.9
3.2
1.8
2.0
2.0
1.0
2.8
1.8
2.2
2.9
2.8

3.6
2.9
2.5
2.4
2.7
2.3
2.5
2.7
1.1
1.7
1.2
1.5
1.8
1.7

3.5
5.3
7.4
10.0
4.2
.8
.9
.8
1.1
5.0
3.0
3.7
5.1
5.0

0.2
.3
.4
.4
.6
.5
.4
.4

0.2
.3
.4
.5
.3
.5
.4
.4

0.2
.2
.3
.3
1.4
.5
.5
.4

0.1
.2
.4
.3
1.0
.5
.4
.4

0.4
.3
.1
.4
1.0
.6
.8
.3

0.1
.3
.3
.5
.2
.5
.5
.5

0.8
.2
–.2
.3
2.8
.8
1.2
.2

Percent change from 3 months earlier, seasonally adjusted
2009: Mar ������������
      June �����������
      Sept �����������
      Dec �������������
2010: Mar ������������
      June �����������
      Sept �����������
      Dec �������������

0.3
.2
.2
.4
.9
.5
.6
.3

0.1
.2
.4
.4
.3
.3
.6
.3

0.6
.2
.0
.4
2.3
.5
.9
.3

0.2
.3
.5
.4
.5
.5
.4
.5

0.3
.3
.4
.5
.4
.5
.4
.5

1 On Standard Industrial Classification (SIC) basis, data are for service-producing industries.
2 Employer costs for employee benefits.
3 Data on North American Industry Classification System (NAICS) basis available beginning with 2001; not strictly comparable with earlier data shown on

SIC basis.
Note: Changes effective with the release of March 2006 data (in April 2006) include changing industry classification to NAICS from SIC and rebasing data to
December 2005=100. Historical SIC data are available through December 2005.
Data exclude farm and household workers.
Source: Department of Labor (Bureau of Labor Statistics).

Population, Employment, Wages, and Productivity

| 247

Table B–49. Productivity and related data, business and nonfarm business sectors,
1960–2010
[Index numbers, 2005=100; quarterly data seasonally adjusted]
Output per hour
of all persons
Year or quarter

1960 �����������������
1961 �����������������
1962 �����������������
1963 �����������������
1964 �����������������
1965 �����������������
1966 �����������������
1967 �����������������
1968 �����������������
1969 �����������������
1970 �����������������
1971 �����������������
1972 �����������������
1973 �����������������
1974 �����������������
1975 �����������������
1976 �����������������
1977 �����������������
1978 �����������������
1979 �����������������
1980 �����������������
1981 �����������������
1982 �����������������
1983 �����������������
1984 �����������������
1985 �����������������
1986 �����������������
1987 �����������������
1988 �����������������
1989 �����������������
1990 �����������������
1991 �����������������
1992 �����������������
1993 �����������������
1994 �����������������
1995 �����������������
1996 �����������������
1997 �����������������
1998 �����������������
1999 �����������������
2000 �����������������
2001 �����������������
2002 �����������������
2003 �����������������
2004 �����������������
2005 �����������������
2006 �����������������
2007 �����������������
2008 �����������������
2009 �����������������
2007: I �������������
      II ������������
      III �����������
      IV �����������
2008: I �������������
      II ������������
      III �����������
      IV �����������
2009: I �������������
      II ������������
      III �����������
      IV �����������
2010: I �������������
      II ������������
      III �����������

Output 1

Hours of
all persons 2

Compensation
per hour 3

Real
compensation
per hour 4

Unit labor
costs

Implicit price
deflator 5

Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm
ness business ness business ness business ness business ness business ness business ness business
sector sector sector sector sector sector sector sector sector sector sector sector sector sector
35.8
37.1
38.8
40.3
41.6
43.1
44.9
45.8
47.4
47.7
48.6
50.6
52.2
53.8
52.9
54.8
56.6
57.5
58.1
58.1
58.0
59.2
58.7
60.8
62.4
63.8
65.7
65.9
66.9
67.6
69.0
70.1
73.0
73.4
74.0
74.1
76.2
77.6
79.9
82.7
85.6
88.1
92.1
95.6
98.4
100.0
100.9
102.5
103.6
107.3
101.1
102.0
103.0
103.8
103.6
103.9
103.6
103.5
104.4
106.5
108.4
110.0
111.0
110.4
111.1

38.3
39.5
41.3
42.7
44.0
45.3
46.9
47.8
49.4
49.5
50.2
52.2
54.0
55.7
54.8
56.3
58.1
59.1
59.8
59.6
59.4
60.3
59.6
62.2
63.5
64.5
66.5
66.7
67.8
68.3
69.6
70.7
73.5
73.9
74.7
75.0
76.9
78.1
80.4
83.0
85.9
88.4
92.4
95.7
98.4
100.0
100.9
102.5
103.6
107.2
101.3
101.9
103.0
103.9
103.5
103.8
103.5
103.5
104.3
106.5
108.3
109.9
110.9
110.4
111.0

19.9
20.3
21.6
22.6
24.0
25.7
27.4
28.0
29.4
30.3
30.3
31.4
33.4
35.8
35.2
34.9
37.2
39.3
41.8
43.2
42.7
43.9
42.5
44.8
48.7
51.0
52.9
54.6
57.0
59.1
60.0
59.5
61.8
63.8
66.9
68.8
71.9
75.7
79.4
83.9
87.7
88.4
90.1
92.9
96.7
100.0
103.1
105.2
104.2
100.4
103.9
104.9
105.5
106.3
105.7
105.6
103.9
101.4
99.8
99.8
100.1
101.7
103.0
103.4
104.4

19.7
20.1
21.5
22.5
24.0
25.7
27.5
28.0
29.4
30.3
30.3
31.5
33.6
36.0
35.5
34.9
37.4
39.4
42.0
43.4
42.9
43.8
42.4
45.1
48.8
50.9
52.9
54.7
57.2
59.2
60.0
59.5
61.7
63.9
66.9
69.0
72.0
75.7
79.6
84.0
87.7
88.5
90.2
92.9
96.8
100.0
103.1
105.3
104.2
100.3
104.0
105.1
105.8
106.4
105.7
105.6
104.0
101.4
99.7
99.7
100.0
101.7
102.9
103.3
104.3

55.5
54.7
55.7
56.1
57.7
59.6
61.2
61.0
61.9
63.5
62.2
62.1
64.0
66.5
66.6
63.7
65.8
68.3
71.8
74.3
73.6
74.1
72.5
73.7
78.0
79.9
80.5
82.9
85.2
87.4
86.9
84.9
84.7
86.9
90.4
92.9
94.4
97.5
99.4
101.4
102.4
100.3
97.8
97.2
98.3
100.0
102.1
102.6
100.5
93.6
102.7
102.9
102.4
102.4
102.1
101.6
100.3
98.0
95.6
93.7
92.4
92.5
92.8
93.7
93.9

51.4
50.9
52.0
52.6
54.5
56.6
58.6
58.6
59.6
61.3
60.4
60.2
62.2
64.7
64.8
62.0
64.2
66.8
70.3
72.8
72.2
72.7
71.1
72.5
76.9
78.9
79.5
81.9
84.3
86.6
86.3
84.2
84.0
86.4
89.6
92.0
93.7
96.9
99.0
101.2
102.2
100.2
97.7
97.1
98.3
100.0
102.2
102.7
100.6
93.5
102.7
103.1
102.7
102.4
102.1
101.7
100.5
98.0
95.6
93.6
92.4
92.5
92.8
93.6
93.9

8.5
8.8
9.2
9.6
9.9
10.3
11.0
11.6
12.5
13.4
14.4
15.4
16.3
17.7
19.4
21.4
23.2
25.1
27.3
29.9
33.1
36.2
38.8
40.4
42.1
44.1
46.4
48.0
50.5
51.9
55.2
58.0
61.1
62.5
63.4
64.7
66.9
69.1
73.3
76.6
82.3
86.1
88.8
93.0
96.2
100.0
103.8
108.1
111.5
113.6
106.8
107.4
108.3
109.8
111.0
111.0
112.0
112.2
111.2
113.6
114.6
115.1
114.7
115.5
116.2

8.9
9.2
9.6
9.9
10.2
10.6
11.2
11.8
12.8
13.6
14.6
15.5
16.6
17.9
19.7
21.6
23.5
25.4
27.6
30.2
33.4
36.7
39.3
40.9
42.6
44.5
46.8
48.5
50.9
52.2
55.5
58.4
61.5
62.7
63.9
65.2
67.3
69.4
73.6
76.8
82.5
86.2
88.9
93.1
96.2
100.0
103.8
107.9
111.5
113.5
106.9
107.2
108.0
109.7
111.0
110.9
111.9
112.2
111.1
113.6
114.5
115.0
114.7
115.5
116.2

51.2
52.6
54.4
55.6
57.0
58.2
60.3
61.9
64.2
65.1
66.3
67.5
69.6
71.0
70.1
70.8
72.7
73.7
74.9
74.9
74.6
74.5
75.4
75.3
75.4
76.3
78.8
79.0
80.1
78.9
80.0
81.1
83.3
83.1
82.6
82.3
82.9
83.8
87.7
89.8
93.3
95.0
96.3
98.7
99.5
100.0
100.5
101.8
101.1
103.4
102.1
101.5
101.7
101.9
101.8
100.6
99.9
102.5
102.1
103.9
103.9
103.6
102.9
103.8
104.1

53.7
54.9
56.5
57.7
58.7
59.7
61.5
63.1
65.3
66.2
67.1
68.3
70.5
71.8
71.0
71.6
73.4
74.5
75.8
75.7
75.4
75.5
76.3
76.2
76.2
76.9
79.5
79.7
80.8
79.4
80.3
81.6
83.9
83.5
83.2
82.9
83.4
84.2
88.0
89.9
93.5
95.0
96.5
98.8
99.4
100.0
100.5
101.6
101.1
103.3
102.1
101.2
101.4
101.8
101.8
100.5
99.8
102.5
102.1
103.9
103.8
103.5
102.9
103.8
104.0

23.8
23.8
23.8
23.7
23.8
23.9
24.5
25.3
26.5
28.2
29.7
30.3
31.3
32.9
36.7
39.0
41.1
43.6
46.9
51.4
57.0
61.2
66.1
66.5
67.5
69.1
70.6
72.9
75.6
76.8
80.0
82.8
83.7
85.2
85.7
87.4
87.8
89.1
91.8
92.7
96.1
97.7
96.4
97.3
97.8
100.0
102.8
105.4
107.6
105.9
105.6
105.3
105.1
105.7
107.1
106.8
108.1
108.4
106.5
106.6
105.8
104.6
103.4
104.6
104.6

23.3
23.3
23.2
23.2
23.3
23.3
23.8
24.8
25.8
27.6
29.1
29.8
30.7
32.2
35.9
38.4
40.3
42.9
46.1
50.7
56.2
60.8
65.8
65.7
67.0
68.9
70.4
72.7
75.1
76.4
79.7
82.6
83.7
84.9
85.6
87.0
87.6
88.9
91.6
92.4
96.1
97.5
96.2
97.2
97.8
100.0
102.8
105.3
107.6
105.9
105.5
105.1
104.9
105.6
107.2
106.8
108.1
108.4
106.5
106.7
105.8
104.7
103.4
104.7
104.6

21.8
21.9
22.2
22.3
22.5
22.9
23.5
24.1
25.1
26.2
27.3
28.5
29.5
31.1
34.1
37.4
39.4
41.7
44.7
48.5
52.8
57.7
61.0
63.1
64.9
66.4
67.5
69.2
71.3
74.0
76.6
79.1
80.6
82.2
83.6
85.1
86.5
87.8
88.4
89.1
90.8
92.4
93.1
94.4
96.9
100.0
102.9
105.7
107.6
108.1
104.8
105.7
106.1
106.1
106.3
107.3
108.7
108.0
108.2
108.0
108.2
108.1
108.4
109.1
109.8

21.3
21.4
21.6
21.8
22.1
22.4
22.9
23.6
24.5
25.6
26.8
27.9
28.8
29.8
32.9
36.4
38.4
40.9
43.6
47.3
51.9
56.8
60.4
62.3
64.1
65.9
67.0
68.6
70.7
73.3
76.0
78.6
80.2
81.8
83.3
84.8
85.9
87.5
88.2
89.0
90.8
92.3
93.1
94.3
96.6
100.0
103.0
105.5
107.4
108.3
104.7
105.5
105.8
105.8
106.0
107.1
108.5
108.0
108.4
108.2
108.5
108.2
108.5
109.2
109.7

1 Output refers to real gross domestic product in the sector.
2 Hours at work of all persons engaged in sector, including hours of proprietors and unpaid family workers. Estimates based primarily on establishment data.
3 Wages and salaries of employees plus employers’ contributions for social insurance and private benefit plans. Also includes an estimate of wages,

salaries, and supplemental payments for the self-employed.
4 Hourly compensation divided by the consumer price index for all urban consumers for recent quarters. The trend from 1978–2009 is based on the consumer
price index research series (CPI-U-RS).
5 Current dollar output divided by the output index.
Source: Department of Labor (Bureau of Labor Statistics).

248 |

Appendix B

Table B–50. Changes in productivity and related data, business and nonfarm business
sectors, 1960–2010
[Percent change from preceding period; quarterly data at seasonally adjusted annual rates]
Output per hour
of all persons
Year or quarter

1960 �����������������
1961 �����������������
1962 �����������������
1963 �����������������
1964 �����������������
1965 �����������������
1966 �����������������
1967 �����������������
1968 �����������������
1969 �����������������
1970 �����������������
1971 �����������������
1972 �����������������
1973 �����������������
1974 �����������������
1975 �����������������
1976 �����������������
1977 �����������������
1978 �����������������
1979 �����������������
1980 �����������������
1981 �����������������
1982 �����������������
1983 �����������������
1984 �����������������
1985 �����������������
1986 �����������������
1987 �����������������
1988 �����������������
1989 �����������������
1990 �����������������
1991 �����������������
1992 �����������������
1993 �����������������
1994 �����������������
1995 �����������������
1996 �����������������
1997 �����������������
1998 �����������������
1999 �����������������
2000 �����������������
2001 �����������������
2002 �����������������
2003 �����������������
2004 �����������������
2005 �����������������
2006 �����������������
2007 �����������������
2008 �����������������
2009 �����������������
2007: I �������������
      II ������������
      III �����������
      IV �����������
2008: I �������������
      II ������������
      III �����������
      IV �����������
2009: I �������������
      II ������������
      III �����������
      IV �����������
2010: I �������������
      II ������������
      III �����������

Hours of
all persons 2

Output 1

Compensation
per hour 3

Real
compensation
per hour 4

Unit labor
costs

Implicit price
deflator 5

Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfarm Busi- Nonfa