Shrider, Creamer, Poverty in the United States: 2022 (P60-280) (Current Population Reports P60-280, 2023-09)
Summary
Current Population Reports P60-280, "Poverty in the United States: 2022," by Emily A. Shrider and John Creamer, issued September 2023 by the "U.S. Census Bureau," with Robert L. Santos as Director. The acknowledgments name staff who prepared the report and processed the 2023 Current Population Survey Annual Social and Economic Supplement (CPS ASEC) file. The contents list an Introduction with Highlights and Background, a section on changes in official poverty between 2021 and 2022, Appendix A on estimates of official poverty, and Appendix B on the Supplemental Poverty Measure. The acknowledgments are printed in memory of Rebecca Blank.
Summary drafted by a model from the document's text below and checked by script against that text before publication. It is a navigation aid, not a reading of what the document proves. Where AI is used
Cite this document
“Shrider, Creamer, Poverty in the United States: 2022 (P60-280) (Current Population Reports P60-280, 2023-09).”
Original at www.census.gov. Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/shrider-creamer-poverty-in-the-united-states-2022-p60-280-current-popu-aec98805f6/
, SHA-256 6c5d9798c31150da219cbb3cf35d478cb246e1d874eaf05f0b511336fb3b4537.Full text
Poverty in the United States: 2022
Current Population Reports
By Emily A. Shrider and John Creamer
Issued September 2023
P60-280
Acknowledgments In memory of Rebecca Blank, a staunch advocate for improvements
in poverty measurement. Throughout her career in academia and
the federal government, Becky contributed to ground-breaking
research on poverty and inequality and championed the develop-
ment of the Supplemental Poverty Measure. Without Becky, there
would be no SPM.
Emily A. Shrider and John Creamer prepared this report under the
direction of Brian Glassman, Chief of the Poverty Statistics Branch.
Liana Fox, Assistant Division Chief for Economic Characteristics in the
Social, Economic, and Housing Statistics Division, provided overall
direction.
Mallory Bane, Preeti Vaghela, and Richard Lee, under the supervi-
sion of David Watt, Lorelai D. De Vos, and Craig Johnson, all of the
Demographic Systems Division, and Tim Marshall of the Demographic
Programs Directorate—Survey Operations (ADDP-SO), processed the
2023 Current Population Survey Annual Social and Economic Supplement
(CPS ASEC) file.
Adam W. Reilly, with the assistance of Kirk E. Davis, Raymond E.
Dowdy, Lan N. Huynh, Marguerite McDaniel, and Chandararith R. Phe,
programmed and produced the historical, detailed, and publication
tables under the direction of Hung X. Pham, Chief of the Tabulation and
Applications Branch, Demographic Surveys Division.
Alfred G. Meier and Jana Hatch, under the supervision of Emily Hood
and David V. Hornick, all of the Demographic Statistical Methods Division,
conducted statistical review.
Tim Marshall, Roberto Marrero Cases, and Roselyn Rosal Tineo, all of
the Demographic Programs Directorate—Survey Operations, provided
overall direction for survey implementation. Charlie Carter and Johanna
Rupp, both of the Information Technology Directorate, prepared and
programmed the computer-assisted interviewing instrument used to
conduct the CPS ASEC.
Additional people within the U.S. Census Bureau also made significant
contributions to the preparation of the report. Neil Bennett, Kalee Burns,
Matthew Marlay, Carl Sanders, Alexander Tettenhorst, and Danielle
Wilson reviewed the contents. Bruce H. Webster, Jr., Douglas Conway, and
Alejandra Jubran prepared the tax model.
Kevin Lathrop, Faye Brock, Andrew Quach, Briana Wright, and
Stacey Barber provided publication management, graphic design and
composition, editorial review, and 508 compliancy for print and electronic
media under the direction of Corey Beasley, Chief of the Graphic and
Editorial Services Branch, Public Information Office.
The authors would like to also thank the Census Bureau field represen-
tatives and telephone interviewers who conducted the interviews that
provide the data in this report. Without their dedication, the preparation
of this report or any report from the Current Population Survey would be
impossible.
We wish David Watt and Susan Gajewski, both responsible for CPS ASEC
processing, and Agatha Jung, responsible for ASEC instrument program-
ming, all the best in their retirements. We also acknowledge the sub-
stantial contributions of Lisa Cheok, formerly of ADDP-SO, and Jessica
Semega, who worked on the income and poverty reports for the past
17 years, as they transition to new positions at the Census Bureau. Their
dedication and institutional knowledge are greatly missed.
Poverty in the United States: 2022 Issued September 2023
P60-280
U.S. Census Bureau
Robert L. Santos,
Director
Suggested Citation
Emily A. Shrider and John Creamer,
U.S. Census Bureau,
Current Population Reports,
P60-280,
Poverty in the United States: 2022,
U.S. Government Publishing Office,
Washington, DC,
September 2023.
U.S. CENSUS BUREAU
Robert L. Santos,
Director
Ron S. Jarmin,
Deputy Director and Chief Operating Officer
Victoria A. Velkoff,
Associate Director for Demographic Programs
David G. Waddington,
Chief, Social, Economic, and Housing Statistics Division
Contents
INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Highlights . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
CHANGES IN OFFICIAL POVERTY BETWEEN 2021 AND 2022. . . . . . . 3
Sex and Age. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Families. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Race and Hispanic Origin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Educational Attainment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Work Experience. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Supplementing the Official Poverty Measure . . . . . . . . . . . . . . . . . . . . . . . 6
CHANGES IN SPM RATES BETWEEN 2021 AND 2022. . . . . . . . . . . . . . . 6
Sex and Age. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Type of Unit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Race and Hispanic Origin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Educational Attainment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Work Experience. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
POVERTY ESTIMATES FOR 2022: OFFICIAL+ AND SPM. . . . . . . . . . . . . 9
POVERTY RATES BY STATE: OFFICIAL+ AND SPM. . . . . . . . . . . . . . . . . 12
DISTRIBUTION OF PEOPLE BY INCOME-TO-POVERTY
RATIOS: 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
THE EFFECT OF CASH AND NONCASH TRANSFERS, TAXES,
AND OTHER NONDISCRETIONARY EXPENSES ON THE SPM . . . . . 14
SUMMARY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
ENDNOTES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
U.S. Census Bureau Poverty in the United States: 2022 iii
FIGURES
Figure 1. Number in Poverty and Poverty Rate Using the Official Poverty Measure: 1959 to 2022. . . . . . . . . 3
Figure 2. People in Poverty Using the Official Poverty Measure: 2021 to 2022. . . . . . . . . . . . . . . . . . . . . . . . . . 4
Figure 3. Distribution of Total Population and Poverty by Race Using the Official Poverty Measure:
2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Figure 4. Change in Percentage of People in Poverty Using the Supplemental Poverty Measure:
2021 to 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Figure 5. Child Supplemental Poverty Rates by Race and Hispanic Origin: 2009 to 2022. . . . . . . . . . . . . . . . . 8
Figure 6. Poverty Rates Using the Official+ and Supplemental Poverty Measures: 2009 to 2022. . . . . . . . . . 9
Figure 7. Percentage of People in Poverty by Different Poverty Measures: 2022. . . . . . . . . . . . . . . . . . . . . . . . 10
Figure 8. Poverty Rates Using the Official+ and Supplemental Poverty Measures by Age Group:
2009 to 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Figure 9. Difference in Poverty Rates by State Using the Official+ and Supplemental Poverty Measures:
3-Year Average 2020 to 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Figure 10. Distribution of People by Income-to-Poverty Ratios: 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Figure 11. Change in Number of People in Poverty After Including Each Element: 2022. . . . . . . . . . . . . . . . . . 15
APPENDIXES
Appendix A. Estimates of Official Poverty. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
How Official Poverty Is Calculated. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
How Income Is Measured. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Appendix B. The Supplemental Poverty Measure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Updates for 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Appendix C. Additional Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Source and Accuracy of the Estimates. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Business Cycles—Recessions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Accessing Poverty Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
Other Sources of Poverty Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Questions and Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
iv Poverty in the United States: 2022 U.S. Census Bureau
APPENDIX TABLES
Table A-1. People in Poverty by Selected Characteristics: 2021 and 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Table A-2. Families and People in Poverty by Type of Family: 2021 and 2022.. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Table A-3. Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022.. . . . . . . . . . . . . . . . . . . . 23
Table B-1. Two-Adult, Two-Child Poverty Thresholds: 2021 and 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Table B-2. Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by
Age, Race, and Hispanic Origin: 2009 to 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
Table B-3. Number and Percentage of People in Poverty Using the Supplemental Poverty
Measure: 2021 and 2022 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
Table B-4. Number and Percentage of People in Poverty by Different Poverty Measures: 2022 . . . . . . . . . . . . 45
Table B-5. Number and Percentage of People in Poverty by State Using 3-Year Average:
2020, 2021, and 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Table B-6. Percentage of People by Ratio of Income/Resources to Poverty Threshold: 2021 and 2022. . . . . 49
Table B-7. Effect of Individual Elements on Supplemental Poverty Measure Rates: 2021 and 2022. . . . . . . . . 51
Table B-8. Effect of Individual Elements on the Number of Individuals in Poverty Using the Supplemental
Poverty Measure: 2021 and 2022. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
U.S. Census Bureau Poverty in the United States: 2022 v
Poverty in the United States: 2022
INTRODUCTION 2022: the official poverty measure was significantly different from
and the SPM. The official poverty 2021 (Figure 1 and Table A-1).4
The U.S. Census Bureau pro-
rate remained stable compared to • The official poverty rate for
duces annual poverty estimates
2021, while the SPM rate increased Black individuals decreased
to measure the economic well-
significantly, reflecting changes between 2021 and 2022. The
being of households, families, and
in economic well-being follow- 2022 rate was the lowest on
individuals in the United States.
ing the end of many pandemic- record (Table A-3).
This report provides estimates
era programs. SPM estimates for
of two measures of poverty: the • Official poverty rates increased
2022 reflect changes to state and
official poverty measure and the between 2021 and 2022 for the
federal income taxes, including
Supplemental Poverty Measure White and non-Hispanic White
several one-time state income
(SPM). The official poverty mea- populations. Poverty rates were
tax rebates and the expiration of
sure, produced since the 1960s, not statistically different for
expanded refundable tax credits
defines poverty by comparing the Asian, American Indian and
and economic impact (stimulus)
pretax money income to a national Alaska Native, Two or More
payments enacted as part of the
poverty threshold adjusted by fam- Races, or Hispanic (any race)
American Rescue Plan Act.2
ily composition.1 The official pov- populations (Figure 2 and Table
erty measure is used to determine The estimates in this report A-1).5
eligibility for several government are based on data collected in • Most of the demographic
programs and has been used as a the 2023 and earlier Current groups discussed in this report
benchmark of economic well-being Population Survey Annual Social did not experience significant
since its adoption. and Economic Supplements (CPS changes in their official poverty
ASEC) conducted by the Census rate between 2021 and 2022
The SPM, produced in collabora-
Bureau.* This report is released (Figure 2 and Tables A-1 and
tion with the Bureau of Labor
alongside two other reports A-2).
Statistics (BLS), has been released
focused on household income
since 2011 with estimates going Supplemental Poverty Measure
and health insurance coverage in
back to 2009. The SPM extends
the United States: “Income in the • The SPM rate in 2022 was 12.4
the official poverty measure by
United States: 2022” and “Health percent, an increase of 4.6 per-
accounting for several govern-
Insurance in the United States: centage points from 2021. This
ment programs that are designed
2022.”3 is the first increase in the overall
to assist low-income families but
are not included in official poverty SPM poverty rate since 2010
Highlights (Figure 6 and Table B-2).
measure calculations. The SPM also
accounts for geographic varia- Official Poverty Measure • All the demographic groups
tion in housing expenses when discussed in this report expe-
calculating the poverty thresholds • The official poverty rate in 2022 rienced increases in their SPM
and includes federal and state was 11.5 percent, with 37.9 million rates between 2021 and 2022
taxes, work expenses, and medi- people in poverty. Neither the (Figure 4 and Table B-3).
cal expenses. The SPM does not rate nor the number in poverty
• The SPM child poverty rate more
replace the official poverty mea- * The Census Bureau reviewed these data than doubled, from 5.2 percent
and associated products for unauthorized
sure; however, it does provide a disclosure of confidential information and in 2021 to 12.4 percent in 2022.
different metric of economic well- approved the disclosure avoidance practices SPM rates also increased for 18-
applied to this release: Disclosure Review
being that includes resources from Board (DRB) approval number: CBDRB- to 64-year-olds and people 65
government programs and tax FY23-0438. To further protect respondent years and older (Figure 4 and
privacy, all estimates in this report have
credits to low-income families. Table B-3).6
undergone additional rounding. As a result,
this year’s estimates may differ from previ-
This year’s report provides two ous publications and details may not sum
• Social Security continued to
distinct measures of economic to totals. All comparative statements have be the most important antipov-
undergone statistical testing and are statisti-
well-being in the United States for cally significant at the 90 percent confidence
erty program in 2022, moving
level unless otherwise noted.
1 Poverty in the United States: 2022 U.S. Census Bureau
28.9 million people out of SPM Background report of the National Academy
poverty. Meanwhile, refundable of Sciences Panel on Poverty
The Census Bureau has pro-
tax credits moved 6.4 million and Family Assistance. The SPM
duced poverty estimates since
people out of SPM poverty, complements the official poverty
the 1960s. Following the Office
down from 9.6 million people in measure by expanding resources
of Management and Budget’s
2021 (Figure 11 and Table B-8). to include noncash benefits and
Statistical Policy Directive 14, the
by deducting key expenses, while
Differences in Poverty Measures official poverty measure classi-
also redefining poverty thresholds
fies families and individuals as
• The share of the population with to account for a wider set of needs
in poverty if their pretax money
resources below 50 percent and geographic variation.8
income falls below a threshold
of their poverty threshold was adjusted by family composition. In addition to the differences in
lower for the SPM than for the Poverty thresholds are adjusted resources and thresholds, the offi-
official poverty measure with a annually for inflation using the cial poverty measure and the SPM
consistent universe.7 In particular, Consumer Price Index for All Urban use different measurement units
3.3 percent of children had SPM Consumers (CPI-U). The official and universes. The official pov-
resources below half of their poverty measure can be used to erty measure provides estimates
SPM poverty threshold, com- evaluate economic well-being for families (individuals related
pared to 6.6 percent using the back to 1959. More information on by birth, marriage, or adoption),
official poverty methodology the official poverty measure is in while the SPM uses resource units.
(Figure 10 and Table B-6). Appendix A. These resource units include family
• SPM rates were higher than the members, unmarried partners and
official poverty measure with The SPM was developed after
their relatives, coresident unrelated
a consistent universe in three many years of research and
children, and foster children. Both
states, lower in 38 states, and not analysis. It is based on the recom-
measures also provide estimates
statistically different in nine states mendations of the Interagency
for unrelated individuals. The dif-
and the District of Columbia Technical Working Group (ITWG)
ference in measurement unit leads
(Figure 9 and Table B-5). on Developing a Supplemental
to a difference in universe: the
Poverty Measure and the 1995
SPM includes unrelated children
DIFFERENCES IN POVERTY MEASURES
Official Poverty Measure Supplemental Poverty Measure
Measurement units Families (individuals related by birth, Resource units (official family definition plus any
marriage, or adoption) or unrelated coresident unrelated children, foster children, and
individuals. unmarried partners and their relatives) or unrelated
individuals (who are not otherwise included in the
family definition).
Poverty threshold Three times the cost of a minimum food diet Based on recent expenditures for food, clothing,
in 1963. shelter, utilities, telephone, and internet (FCSUti).
Threshold adjustments Vary by family size, composition, and age of Vary by family size, composition, and housing tenure
householder. with geographic adjustments for differences in
housing costs.
Updating thresholds Consumer Price Index for All Urban Most recent 5-year moving average of expenditures on
Consumers: all items. FCSUti, lagged 1 year.
Resource measure Gross pretax cash income. Cash income, plus noncash benefits that resource units
can use to meet their FCSUti needs, minus taxes (or
plus tax credits), work expenses, medical expenses,
and child support paid to another household.
Universe Civilian noninstitutionalized population, Official poverty measure universe, plus unrelated
excluding unrelated individuals under the individuals under the age of 15.
age of 15 for whom poverty status cannot
be determined.
Time series 1959–present. 2009–present.
U.S. Census Bureau Poverty in the United States: 2022 2
under the age of 15, while the the SPM for 2022 can be found consecutive year, neither the rate
official poverty measure does not. in Appendix B. Additional details nor the number in poverty was
To account for this difference, this are available in the SPM technical significantly different than the year
report uses the designation documentation at <https://www2. before. The official poverty rate
“official+” when directly comparing census.gov/programs-surveys/ remains higher than it was in 2019
the official and SPM poverty mea- supplemental-poverty-measure/ (10.5 percent), before the pan-
sures. Estimates of official+ poverty datasets/spm/spm_techdoc.pdf>. demic. Most of the demographic
add unrelated individuals under Comparisons over time should be groups presented in Figure 2 did
the age of 15 to the official poverty made with caution due to changes not experience significant changes
universe. These individuals are in survey design, sampling, and in their poverty rates between 2021
given the official poverty status of instrument changes, as well as and 2022. Estimates for additional
the household reference person. data processing and methodologi- demographic and family groups
cal improvements.9 are available in Tables A-1 and A-2.
The SPM does not replace the
official poverty measure, nor is it CHANGES IN OFFICIAL Sex and Age
designed to be used for program POVERTY BETWEEN 2021
eligibility or funding distribution. The official poverty rate for
AND 2022
The main differences in the two females (12.5 percent) was higher
measures are summarized in the The official poverty rate in 2022 than that for males (10.5 percent).
“Differences in Poverty Measures” was 11.5 percent, with 37.9 mil- Neither rate changed significantly
table. Specific modifications to lion people in poverty (Figure 1 from 2021 (Figure 2 and Table A-1).
and Table A-1). For the second
Figure 1.
Number in Poverty and Poverty Rate Using the Official Poverty Measure: 1959 to 2022
Numbers in millions Recession
50
45
Number in poverty
40
37.9 million
35
30
25
0
Percent
25
20
Poverty rate
15
11.5 percent
10
5
0
1959 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2022
Note: Population as of March of the following year. The data for 2017 and beyond reflect the implementation of an updated processing
system. The data for 2013 and beyond reflect the implementation of the redesigned income questions. Refer to Table A-3 for historical
footnotes. The data points are placed at the midpoints of the respective years. Information on recessions is available in Appendix C.
Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 1960 to 2023 Annual Social and Economic Supplements (CPS ASEC).
3 Poverty in the United States: 2022 U.S. Census Bureau
Figure 2.
People in Poverty Using the Official Poverty Measure: 2021 to 2022
2021 2022
2021 2022 Change
All people 11.6 11.5 –0.1
Sex
Male 10.5 10.5 Z
Female 12.6 12.5 –0.1
Age
Under 18 years 15.3 15.0 –0.3
18 to 64 years 10.5 10.6 0.1
65 years and older 10.3 10.2 –0.1
People in Families
In primary families 9.5 9.4 –0.1
In married-couple families 5.2 5.4 0.2
In female householder families 25.3 24.7 –0.6
In male householder families 12.7 11.6 –1.0
Unrelated individuals 19.7 20.1 0.4
Race and Hispanic Origin
White 10.0 10.5 *0.5
White, not Hispanic 8.1 8.6 *0.5
Black 19.5 17.1 *–2.4
Asian 9.3 8.6 –0.7
American Indian and Alaska Native 24.3 25.0 0.7
Two or More Races 14.2 12.2 –2.0
Hispanic (any race) 17.1 16.9 –0.2
Educational Attainment 1
No high school diploma 27.2 25.2 *–1.9
High school, no college 13.2 13.3 0.1
Some college 9.2 9.3 0.1
Bachelor's degree or higher 4.1 4.3 0.2
Work Experience2
All workers 4.7 4.8 0.1
Worked full-time, year-round 1.8 1.9 0.1
Less than full-time, year-round 12.2 12.8 0.7
Did not work 30.0 30.7 0.7
0 5 10 15 20 25 30 35
Percent
Z Rounds to zero.
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
1
Population limited to individuals aged 25 and older. In 2022, the overall poverty rate for this group was 9.9 percent.
2
Population limited to individuals aged 18 to 64. In 2022, the overall poverty rate for this group was 10.6 percent.
Note: Population as of March of the following year. Details may not sum to totals due to rounding. More details are available in Tables A-1 and
A-2. More information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
U.S. Census Bureau Poverty in the United States: 2022 4
Similarly, none of the major age
groups experienced significant Figure 3.
changes in poverty between 2021 Distribution of Total Population and Poverty by Race Using
and 2022. People under 18 years the Official Poverty Measure: 2022
old had higher poverty rates (15.0
Total population
percent) than both 18- to 64-year-
Poverty population
olds (10.6 percent) and those 65
Percent
years and older (10.2 percent).10
58.5
Poverty rates for 18- to 64-year- White, not Hispanic
44.0
olds and those 65 and older were
19.3
higher in 2022 than they were in Hispanic (any race)
28.4
2019, before the pandemic, while 13.5
the child poverty rate was not sta- Black
20.1
tistically different (Table A-3). 6.5
Asian
4.9
Families11 2.9
Two or More Races
Poverty rates did not change 3.1
significantly between 2021 and American Indian and 1.2
Alaska Native 2.6
2022 for people in families or
unrelated individuals, regardless
of family type (Figure 2 and Table
A-2). Of people in families, those Ratio of poverty population
in married couple families had the to total population
lowest poverty rate (5.4 percent), Ratio
while those in female-householder White, not Hispanic 0.8*
families had the highest (24.7
Hispanic (any race) 1.5*
percent).12
Black 1.5*
Race and Hispanic Origin13
Asian 0.8*
From 2021 to 2022, only the
Two or More Races 1.1
White, non-Hispanic White, and
American Indian and
Black populations saw significant Alaska Native 2.2*
changes in their poverty rates. 1.0
Poverty rates among Black indi-
viduals fell 2.4 percentage points, * An asterisk denotes that the ratio is different from 1.0 at the 90 percent confidence
level.
to 17.1 percent. This is the lowest Note: Population as of March of the following year. Information on confidentiality
poverty rate on record for Black protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
individuals. Poverty rates increased Source: U.S. Census Bureau, Current Population Survey, 2023 Annual Social and
by 0.5 percentage points for Economic Supplement (CPS ASEC).
both the White and non-Hispanic
White populations between 2021 percent). The non-Hispanic White group’s share of the overall popu-
and 2022. The poverty rates for and Asian populations had the lation. Groups with a ratio of less
the Asian, American Indian and lowest poverty rates (both 8.6 than 1.0 were underrepresented in
Alaska Native, Two or More Races, percent). poverty while groups over 1.0 were
and Hispanic (any race) popula- overrepresented. For example,
tions did not change significantly Figure 3 shows the composition of
while non-Hispanic White individu-
(Figure 2 and Table A-1).14, 15 the total population by race and
als made up 58.5 percent of the
Hispanic origin. This figure high-
Of the race and Hispanic origin total population, they only made
lights which groups were over-
groups shown in Figure 2 and up 44.0 percent of the population
represented or underrepresented
Table A-1, poverty rates were high- classified as poor by the official
among the population defined as
est for the American Indian and poverty measure. As shown in
poor by comparing the share of a
Alaska Native population (25.0 the bottom panel of Figure 3, this
particular group in poverty to that
5 Poverty in the United States: 2022 U.S. Census Bureau
results in a ratio of 0.8, indicating None of the work experience denotes the official poverty mea-
that non-Hispanic White indi- groups presented in Figure 2 and sure using the same universe as
viduals were underrepresented Table A-1 experienced significant the SPM, which includes unrelated
in the poverty population.16 Asian changes in their poverty rates individuals under 15. Using official+
individuals were also underrep- between 2021 and 2022. The allows for direct comparisons of
resented in the poverty popula- poverty rate for those who did not the two concepts with the same
tion, while Hispanic, Black, and work (30.7 percent) was around 16 reference universe.
American Indian and Alaska Native times higher than the rate for full-
individuals were overrepresented.17 time, year-round workers (1.9 per- CHANGES IN SPM RATES
This ratio was not significantly cent), who had the lowest poverty BETWEEN 2021 AND 2022
different from 1.0 for the Two or rates among the work experience In 2022, the overall SPM rate was
More Races population, meaning groups in 2022. The poverty rate 12.4 percent. This was 4.6 percent-
that they were neither over- nor for those working less than full- age points higher than the 2021
underrepresented in poverty. time, year-round was 12.8 percent. SPM rate of 7.8 percent, and 0.6
Although American Indian and percentage points higher than
Alaska Native individuals made up Supplementing the Official 2019, the year before the COVID-19
the smallest share of both the total Poverty Measure pandemic (Table B-2). This was the
and poverty populations, they first significant increase in the SPM
Overall, few demographic groups
were the most disproportionately rate since 2010.
saw significant changes in offi-
overrepresented group in poverty. cial poverty rates between 2021
Their share of the poverty popu- Figure 4 presents annual SPM rates
and 2022. By considering pretax
lation was twice as large as their for 2021 and 2022 across a set of
money income alone and using
share of the total population. demographic characteristics.19 SPM
thresholds that are only inflation-
rates for all groups presented in
adjusted, the official poverty
Educational Attainment18 Figure 4 increased from 2021 to
measure provides a consistent
2022.
Figure 2 also shows poverty definition of poverty over long
rates by educational attainment. periods. It does not capture
Sex and Age
Between 2021 and 2022, poverty changes to tax policy, noncash
rates decreased for those 25 years assistance, geographic variation, SPM rates increased for both males
and older with no high school or shifts in necessary expenses. As and females in 2022. The male SPM
diploma. Poverty rates were not the Supplemental Poverty Measure rate was 11.9 percent, an increase
statistically different for the rest (SPM) demonstrates, these factors of 4.3 percentage points from
of the educational groups. The can have a significant effect on 2021. The SPM rate for females was
poverty rate for those without a poverty rates. 12.8 percent, an increase of 4.9
high school diploma (25.2 percent) percentage points.
The rest of this report explores
was at least five-and-a-half times
poverty using the SPM. The SPM SPM rates more than doubled for
higher than for those with at least
provides an additional perspec- children (individuals under the age
a bachelor’s degree (4.3 percent).
tive on economic well-being by of 18) in 2022, increasing 7.2 per-
People with at least a bachelor’s
expanding the definition of offi- centage points, from 5.2 percent
degree had the lowest poverty
cial poverty to include noncash in 2021 to 12.4 percent in 2022.
rate of the educational attainment
benefits in resources, account for This represents a return to prepan-
groups.
income and payroll taxes, and demic SPM child poverty levels, as
subtract other necessary expenses, the 2022 rate was not statistically
Work Experience
using a more inclusive resource different from the 2019 rate (12.6
The percentage of 18- to 64-year- sharing unit, and accounting for percent) (Figure 8 and Table B-2).
olds working full-time, year-round geographic differences in housing Children had the largest increase in
increased from 72.4 percent of all costs. SPM rates between 2021 and 2022
workers in 2021 to 73.9 percent of among the three age categories,
all workers in 2022. The share of The remainder of this report uses driven in part by the expiration of
those working less than full-time, official+ when drawing compari- the expanded refundable tax cred-
year-round decreased from 27.6 sons between the SPM and the its and stimulus payments.
percent in 2021 to 26.1 percent in official poverty measure. Official+
2022.
U.S. Census Bureau Poverty in the United States: 2022 6
Figure 4.
Change in Percentage of People in Poverty Using the Supplemental Poverty Measure:
2021 to 2022
Decrease Increase
( Statistically different from zero)
2021 2022
All people 7.8 12.4 4.6
Sex
Male 7.6 11.9 4.3
Female 7.9 12.8 4.9
Age
Under 18 years 5.2 12.4 7.2
18 to 64 years 7.9 11.9 3.9
65 years and older 10.7 14.1 3.5
Type of Unit
Married couple 4.4 7.6 3.2
Cohabiting partners 6.5 12.3 5.8
Female reference person 11.7 22.6 10.9
Male reference person 10.6 14.7 4.0
Unrelated individuals 18.1 22.4 4.3
Race and Hispanic Origin
White 6.9 11.4 4.5
White, not Hispanic 5.7 9.1 3.4
Black 11.3 17.2 5.9
Asian 9.5 11.6 2.1
American Indian and Alaska Native 12.4 23.2 10.8
Two or More Races 7.3 11.4 4.1
Hispanic (any race) 11.2 19.3 8.1
Educational Attainment 1
No high school diploma 19.7 27.9 8.2
High school, no college 10.3 15.6 5.3
Some college 7.3 10.7 3.4
Bachelor's degree or higher 4.3 5.8 1.4
Work Experience2
All workers 3.8 6.6 2.8
Worked full-time, year-round 2.0 3.6 1.6
Less than full-time, year-round 8.7 15.1 6.4
Did not work at least 1 week 21.5 29.9 8.4
0 5 10 15 20 25 30 35
Percent
1
Population limited to individuals aged 25 and older. In 2022, the overall Supplemental Poverty Measure (SPM) rate for this group was 11.7 percent.
2
Population limited to individuals aged 18 to 64. In 2022, the overall SPM rate for this group was 11.9 percent.
Note: Population as of March of the following year. Statistically significant indicates the change is statistically different from zero at the 90 percent
confidence level. Details may not sum to totals due to rounding. More details are available in Table B-3. More information on confidentiality protection,
sampling error, nonsampling error, and definitions is avaiable at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
7 Poverty in the United States: 2022 U.S. Census Bureau
Figure 5.
Child Supplemental Poverty Rates by Race and Hispanic Origin: 2009 to 2022
Recession
Percent
35
Hispanic (any race)
30
29.1 Black
25 25.2
19.5
20
Asian 17.8
18.3
15
9.9
10
9.8 Non-Hispanic White 7.2
5
0
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Note: Population as of March of the following year. The Supplemental Poverty Measure (SPM) estimates for 2019 and beyond reflect the
implementation of revised SPM methodology. More information is provided in the SPM technical documentation available at
<https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>. The data for 2017 and beyond reflect
the implementation of an updated processing system. The data for 2013 and beyond reflect the implementation of the redesigned income questions.
The data points are placed at the midpoints of the respective years. Information on recessions is available in Appendix C. More information on
confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2010 to 2023 Annual Social and Economic Supplements (CPS ASEC).
SPM rates for 18- to 64-year-olds B-3). Married couple SPM units and Alaska Native individuals (23.2
increased 3.9 percentage points had the lowest SPM rates (7.6 percent) were not statistically dif-
between 2021 and 2022, while percent), followed by cohabiting ferent from one another.
those 65 years and older saw a 3.5 partners (12.3 percent). The SPM
Figure 5 shows historical SPM rates
percentage-point increase in their rate for male reference person
for children by race and Hispanic
SPM rate.20 The 2022 SPM rates for units was 14.7 percent, while the
origin (Table B-2). Child poverty
both groups were higher than in SPM rate for unrelated individuals
rates for the presented race and
2019, before the pandemic. was 22.4 percent. The SPM rate
Hispanic origin groups rose sub-
for female reference person units
stantially in 2022 after record lows
Type of Unit was 22.6 percent, an increase of
for non-Hispanic White, Black, and
10.9 percentage points from 2021.21
The official poverty measure Hispanic children in 2021. Poverty
This was the largest year-to-year
assumes that only individuals rates for non-Hispanic White,
change among SPM unit types.22
related by birth, marriage, and Asian, and Hispanic children were
adoption (i.e., census-defined not statistically different from their
Race and Hispanic Origin
families) share resources. This prepandemic levels in 2019, while
resource-sharing unit is used to SPM rates increased for all race rates for Black children were lower
sum resources and determine the and Hispanic origin groups pre- than in 2019. 24
appropriate poverty threshold. sented in Figure 4 between 2021
In comparison, the SPM expands and 2022. In 2022, non-Hispanic Educational Attainment
the resource-sharing unit to also White individuals had the lowest
SPM rates for those 25 years
include unmarried cohabiting SPM rates (9.1 percent), followed
and older increased across all
partners and their relatives, foster by White individuals (11.4 percent),
presented educational groups
children under the age of 22, and those reporting Two or More Races
between 2021 to 2022 (Figure 4
unrelated individuals under the (11.4 percent), and Asian individu-
and Table B-3). The SPM rate for
age of 15. als (11.6 percent).23 SPM rates for
individuals with less than a high
Black individuals increased to 17.2
Between 2021 and 2022, SPM school diploma increased 8.2 per-
percent. SPM rates for Hispanic
rates increased for all types of centage points to 27.9 percent, the
(19.3 percent) and American Indian
SPM units (Figure 4 and Table largest percentage-point change
U.S. Census Bureau Poverty in the United States: 2022 8
Figure 6.
Poverty Rates Using the Official+ and Supplemental Poverty Measures: 2009 to 2022
Recession
Percent
18
16 15.1
SPM
14 14.4
12.4
12
Official+ 11.5
10
8
6
4
2
0
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Note: Official includes unrelated individuals under the age of 15. Population as of March of the following year. The Supplemental Poverty Measure (SPM)
+
estimates for 2019 and beyond reflect the implementation of revised SPM methodology. More information is provided in the SPM technical
documentation available at <https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>. The data
for 2017 and beyond reflect the implementation of an updated processing system. The data for 2013 and beyond reflect the implementation of the
redesigned income questions. The data points are placed at the midpoints of the respective years. Information on recessions is available in Appendix C.
More information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2010 to 2023 Annual Social and Economic Supplements (CPS ASEC).
among the education groups increased 8.4 percentage points to SPM poverty rate increased back
presented in the report. SPM rates 29.9 percent in 2022, the largest above the official+ rate, which did
for individuals with a high school year-to-year change among the not experience a significant year-
diploma increased 5.3 percent- work experience groups. to-year change.
age points to 15.6 percent, while
While the SPM rates were higher
the SPM rate for those with some POVERTY ESTIMATES FOR
2022: OFFICIAL+ AND SPM than official+ rates for most groups
college increased 3.4 percentage
in Figure 7, SPM rates were lower
points to 10.7 percent. Lastly, the Figure 6 presents SPM and official+ than official+ rates for children,
SPM rate for those with a bach- estimates from 2009 to 2022.25 individuals living in a cohabiting
elor’s degree or higher increased The overall SPM rate (12.4 percent) partner unit, and 18- to 64-year-
by 1.4 percentage points to 5.8 was 0.9 percentage points higher olds who did not work. Official+
percent. In 2022, SPM rates for than the official+ rate (11.5 percent) and SPM rates were not statis-
those with less than a high school in 2022 (Table B-4). tically different for the Black,
diploma (27.9 percent) were
The 2022 SPM estimates reflect American Indian and Alaska
approximately five times greater
a return to the relationship that Native, and Two or More Races
than those with a bachelor’s
existed between official+ and SPM populations or for those living in
degree or higher (5.8 percent).
poverty prior to the COVID-19 female reference person units.
Work Experience pandemic. From 2009 to 2019, the Figure 8 shows official+ and SPM
SPM rate was 0.6 to 1.6 percentage rates from 2009 to 2022 by age
SPM rates increased for all work-
points above the official+ rate. SPM (Table B-2). The SPM rate for chil-
ers 18 to 64 years old between
rates fell below official+ estimates dren increased from the record low
2021 (3.8 percent) and 2022 (6.6
in 2020 and 2021 due to pandemic of 5.2 percent in 2021 to 12.4 per-
percent). SPM rates rose by 6.4
policies (such as stimulus pay- cent in 2022, while the official+ rate
percentage points for those work-
ments and refundable tax credits) was 14.9 percent in 2022, not sta-
ing less than full-time, year-round
that were included in the SPM but tistically different from 2021. The
and 1.6 percentage points for full-
not the official+ methodology. As gap between the two measures
time, year-round workers. The SPM
these policies expired in 2022, the decreased from 10.1 percentage
rate for people who did not work
9 Poverty in the United States: 2022 U.S. Census Bureau
Figure 7.
Percentage of People in Poverty by Different Poverty Measures: 2022
Official+ SPM Difference Official+ SPM
(SPM - Official+)
All people 11.5 12.4 *0.9
Sex
Male 10.5 11.9 *1.4
Female 12.5 12.8 *0.4
Age
Under 18 years 14.9 12.4 *–2.6
18 to 64 years 10.6 11.9 *1.2
65 years and older 10.2 14.1 *4.0
Type of Unit
Married couple 5.4 7.6 *2.1
Cohabiting partners 23.7 12.3 *–11.4
Female reference person 22.5 22.6 0.1
Male reference person 10.0 14.7 *4.7
Unrelated individuals 20.0 22.4 *2.4
Race and Hispanic Origin
White 10.5 11.4 *1.0
White, not Hispanic 8.6 9.1 *0.5
Black 17.1 17.2 0.1
Asian 8.6 11.6 *2.9
American Indian and Alaska Native 24.9 23.2 –1.7
Two or More Races 12.2 11.4 –0.8
Hispanic (any race) 16.9 19.3 *2.4
Educational Attainment 1
No high school diploma 25.2 27.9 *2.6
High school, no college 13.3 15.6 *2.3
Some college 9.3 10.7 *1.4
Bachelor's degree or higher 4.3 5.8 *1.5
Work Experience 2
All workers 4.8 6.6 *1.8
Worked full-time, year-round 1.9 3.6 *1.7
Less than full-time, year-round 12.8 15.1 *2.2
Did not work 30.7 29.9 *–0.8
0 5 10 15 20 25 30 35
Percent
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
1
Population limited to individuals aged 25 and older. In 2022, the overall Supplemental Poverty Measure (SPM) rate for this group was
11.7 percent.
2
Population limited to individuals aged 18 to 64. In 2022, the overall SPM rate for this group was 11.9 percent.
Notes: Official+ includes unrelated individuals under the age of 15. Population as of March of the following year. Details may not sum to
totals due to rounding. More details are available in Table B-4. More information on confidentiality protection, sampling error,
nonsampling error, and definitions is avaiable at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2023 Annual Social and Economic Supplement (CPS ASEC).
U.S. Census Bureau Poverty in the United States: 2022 10
Figure 8.
Poverty Rates Using the Official+ and Supplemental Poverty Measures by Age Group:
2009 to 2022
Under 18 years Recession
Percent
25
20.7 Official+ children
20
17.0
SPM children
15 14.9
12.4
10
5
0
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
18 to 64 years
Percent
25
20
14.4 SPM 18–64
15
13.0 11.9
Official+ 18–64 10.6
10
5
0
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
65 years and older
Percent
25
20
14.9 SPM 65+
15 14.1
Official+ 65+ 10.2
10
8.9
5
0
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Note: Official+ includes unrelated individuals under the age of 15. Population as of March of the following year. The Supplemental Poverty Measure
(SPM) estimates for 2019 and beyond reflect the implementation of revised SPM methodology. More information is provided in the SPM technical
documentation available at <https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>. The data
for 2017 and beyond reflect the implementation of an updated processing system. The data for 2013 and beyond reflect the implementation of the
redesigned income questions. The data points are placed at the midpoints of the respective years. Information on recessions is available in Appendix
C. More information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2010 to 2023 Annual Social and Economic Supplements (CPS ASEC).
11 Poverty in the United States: 2022 U.S. Census Bureau
points in 2021 to 2.6 percentage POVERTY RATES BY STATE: and associated recession in 2020
points in 2022, due in part to the OFFICIAL+ AND SPM and significant social safety net
expiration of pandemic programs expansions in response in 2020
To create state-level estimates
only captured by the SPM (such as and 2021. In 2022, federal tax and
using the CPS ASEC, the Census
stimulus payments and the refund- transfer policies returned to their
Bureau recommends using 3-year
able tax credit expansions). prepandemic rules, while several
averages for additional statisti-
states instituted one-time state
In 2022, the SPM rate for 18- to cal reliability.27, 28 Table B-5 shows
income tax rebates.29 Given these
64-year-olds was 11.9 percent, 3-year average SPM and official+
evolving economic and policy envi-
while the official+ rate was 10.6 poverty rates for the United States
ronments, 3-year averages across
percent. The SPM rate for those and each state. The official+ 3-year
this period will moderate the effect
65 years and older (14.1 percent) average poverty rate for the
of any individual year.
was significantly higher than the United States from 2020–2022
official+ rate (10.2 percent).26 was 11.5 percent, while the SPM While the national SPM poverty
rate was 9.8 percent, a difference rate was lower than the official+
of 1.7 percentage points. This was rate, that difference varied by
a period of considerable economic geographic area.30 Figure 9 shows
change, with a global pandemic the United States divided into three
Figure 9.
AK
Difference in Poverty Rates by State Using the Official + and
Supplemental Poverty Measures: 3-Year Average 2020 to 2022
0 500 Miles
WA
ME
MT ND
OR MN VT
ID NH MA
SD WI NY
MI
WY CT
RI
IA PA
NE NJ
NV OH
DE
UT IL IN
CA CO WV MD
KS MO VA
KY
DC
NC
TN
AZ OK
NM AR SC
MS AL GA SPM higher than official+
Not statistically different
TX LA SPM lower than official+
FL
0 100 Miles
HI
0 100 Miles
Note: SPM: Supplemental Poverty Measure. Official+ includes unrelated individuals under the age of 15. Population as of March of the
following year. All years reflect the implementation of 2020 Census-based population controls. Information on confidentiality protection,
sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2021 to 2023 Annual Social and Economic Supplements (CPS ASEC).
U.S. Census Bureau Poverty in the United States: 2022 12
categories by state. States where Idaho, Illinois, Indiana, Iowa, Columbia was also not statistically
SPM rates were higher than official+ Kansas, Kentucky, Louisiana, different from the official+ rate.
rates are shaded blue; states where Maine, Michigan, Minnesota, Details are provided in Table B-5.
SPM rates were lower than official+ Mississippi, Missouri, Montana,
rates are shaded orange; and states Nebraska, Nevada, New DISTRIBUTION OF PEOPLE
where the differences in the rates Hampshire, New Mexico, North BY INCOME-TO-POVERTY
were not statistically significant are Carolina, North Dakota, Ohio, RATIOS: 2022
gray. Oklahoma, Oregon, Pennsylvania, The official+ methodology uses
Rhode Island, South Carolina, pretax cash income, while the SPM
SPM rates were higher than
South Dakota, Tennessee, Texas, uses an expanded resource defi-
the official+ rates in California,
Utah, West Virginia, Wisconsin, nition that accounts for income
Maryland, and New Jersey. Higher
and Wyoming. The magnitude and payroll taxes, tax credits, and
SPM rates may occur for many
of the difference between SPM noncash transfers. Comparing the
reasons. Geographic adjustments
and official+ rates varied across distribution of income-to-poverty
for housing costs, as well as differ-
states, potentially reflecting lower ratio categories for these measures
ent mixes of housing tenure, may
housing costs, a different mix of shows the combined impact of
result in higher SPM thresholds.
housing tenure, or more generous these differences throughout the
Higher nondiscretionary expenses,
noncash benefits. income distribution—not just at
such as taxes or medical expenses,
may also drive SPM rates higher. SPM and official+ rates were not the poverty line. Figure 10 shows
statistically different in nine states: the distribution of income-to-
SPM rates were lower than poverty ratio categories using the
Colorado, Connecticut, Florida,
the official+ rates in 38 states: SPM and official+ measure for the
Hawaii, Massachusetts, New York,
Alabama, Alaska, Arizona, total population and by major age
Vermont, Virginia, and Washington.
Arkansas, Delaware, Georgia, categories.
The SPM rate for the District of
Figure 10.
Distribution of People by Income-to-Poverty Ratios: 2022
(In percent)
Less than 0.50 0.50 to 0.99 1.00 to 1.99 2.00 to 3.99 4.00 or more
Total population
Official+ 5.5 6.0 16.0 29.7 42.8
SPM 4.4 8.0 28.6 37.1 21.9
Under 18 years
Official+ 6.6 8.3 19.9 30.5 34.7
SPM 3.3 9.1 35.7 36.2 15.7
18 to 64 years
Official+ 5.4 5.2 13.7 29.0 46.7
SPM 4.5 7.3 26.2 38.1 23.8
65 years and older
Official+ 4.4 5.8 19.2 31.0 39.6
SPM 5.2 8.9 28.0 34.5 23.3
Note: SPM: Supplemental Poverty Measure. Official+ includes unrelated individuals under the age of 15. Population as of March of
the following year. Details may not sum to totals due to rounding. More information on confidentiality protection, sampling error,
nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2023 Annual Social and Economic Supplement (CPS ASEC).
13 Poverty in the United States: 2022 U.S. Census Bureau
The comparison shows that a official+ poverty. The SPM sub- and the SPM. Others, such as
smaller share of the total popula- tracts taxes from resources, while refundable tax credits, SNAP, and
tion had incomes below half of the official+ measure does not. This school lunch benefits, are only
their poverty threshold using the reduces the percentage of people included in the SPM. Necessary
SPM (4.4 percent) than the offi- with income in the highest cat- expenses such as taxes, medi-
cial+ methodology (5.5 percent). egory in the SPM. cal expenses, and work-related
However, this varied by age group. expenses are also deducted from
Another notable difference
The share of people with income- SPM resources but are not con-
between the measures was that
to-poverty ratios below half their sidered in the official poverty
more individuals have income-to-
poverty threshold was lower when measure.32
poverty ratios in the 1.00 to 1.99
using the SPM than when using the
and 2.00 to 3.99 ratio categories To evaluate the effect of the pro-
official+ measure for children and
using the SPM than when using grams that add to resources (e.g.,
18- to 64-year-olds, but the share
the official+ measure. This is to be Social Security, cash, and noncash
was higher when using the SPM for
expected, as receiving government transfers), we subtract the value
those 65 years and older.
assistance and tax credits pulls of each component from a unit’s
Many of the noncash benefits incomes up at the bottom of the resources and recalculate poverty
included in the SPM are targeted income distribution, while paying status. In contrast, to evaluate the
at families with children or pro- out taxes and other expenses pulls effect of expenses, we add back
vide a larger benefit when chil- incomes down from the top of the the value of each component to
dren are present. This includes distribution. a unit’s resources. Poverty status
tax credits and programs such changes if subtracting a program
Table B-6 shows similar calcula-
as the Supplemental Nutrition benefit decreases an individual’s
tions by race and ethnicity. The
Assistance Program (SNAP); the resources below their poverty
comparisons show that for all pre-
Special Supplemental Nutrition threshold or if adding an expense
sented racial groups except for the
Program for Women, Infants, and takes them above their poverty
Asian population, a smaller share
Children (WIC); and the National threshold. These additions and
of the population had incomes
School Lunch Program (NSLP). subtractions are done indepen-
below half their poverty threshold
As a result, the share of children dently and assume no behavioral
using the SPM than the official+
with resources below 50 percent changes such as shifts in employ-
measure.
of their SPM threshold (3.3 per- ment status or expenses.
cent) was lower than the share of
THE EFFECT OF CASH AND Removing one item from the
18- to 64-year-olds (4.5 percent)
NONCASH TRANSFERS, calculation of SPM resources and
and those 65 years and older (5.2
TAXES, AND OTHER recalculating poverty rates shows,
percent). NONDISCRETIONARY for example, that Social Security
Notably, the share of the popula- EXPENSES ON THE SPM benefits decreased the SPM rate
tion with resources under half of One of the main contributions by 8.7 percentage points, from 21.1
their poverty threshold increased of the SPM is that it allows us to percent to 12.4 percent (Table B-7).
between 2021 and 2022 in every gauge the potential magnitude of This means that Social Security
age group when using the SPM the effect of tax credits, transfers, benefits lifted 28.9 million people
(Table B-6). For children, the share and nondiscretionary expenses on above the poverty line (Figure 11
below half the poverty threshold in poverty. Figure 11 (Table B-7 and and Table B-8).
2022 was more than twice as large Table B-8) shows the effect that
Refundable tax credits had a
as it was in 2021 (1.4 percent).31 various additions and subtractions
smaller impact on poverty rates in
This reflects the absence of stimu- to resources had on the number
2022 compared to 2021, reflect-
lus payments and the expiration of of people who would have been
ing the expiration of expansions
expanded refundable tax credits in considered poor in 2022. Some of
to the Child Tax Credit, Earned
2022. the programs in the figure, such
Income Tax Credit, and the Child
as Social Security, unemployment
At the other end of the distribu- and Dependent Care Credit (Tables
insurance benefits, public assis-
tion, the SPM showed a smaller B-7 and B-8). In 2022, refundable
tance benefits, and workers’ com-
percentage of the population tax credits prevented 6.4 million
pensation benefits, are included in
with income four or more times individuals from falling into pov-
both the official poverty measure
the poverty threshold relative to erty, with about a third of that
U.S. Census Bureau Poverty in the United States: 2022 14
Figure 11.
Change in Number of People in Poverty After Including Each Element: 2022
(In millions)
Under 18 years 18 to 64 years 65 years and older
–28.9 Social Security
–6.4 Refundable tax credits1
–5.1 SNAP and school lunch
–3.7 SNAP
–2.6 Housing subsidies
–2.5 SSI
–2.4 Child Tax Credit2
–2.0 Other noncash benefits3
–1.3 Other cash benefits4
–0.4 Unemployment insurance
Child support paid 0.3
Federal income tax 1.1
Work expenses 3.6
FICA 4.1
Medical expenses 7.1
1
Refundable tax credits include the Earned Income Tax Credit and the refundable portion of the Child Tax Credit.
2
Includes only the refundable portion of the Child Tax Credit.
3
Other noncash benefits includes utility assistance, Special Supplemental Nutrition Program for Women, Infants, and Children (WIC),
and school lunch programs.
4
Other cash benefits include workers’ compensation, Temporary Assistance for Needy Families (TANF)/general assistance, and child
support received.
Note: SNAP is the Supplemental Nutrition Assistance Program; SSI is Supplemental Security Income; FICA is the Federal Insurance
Contributions Act. Population as of March of the following year. More details are available in Table B-8. More information on
confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>.
Source: U.S. Census Bureau, Current Population Survey, 2023 Annual Social and Economic Supplement (CPS ASEC).
number (2.4 million) coming from lifted out of poverty) in compari- in 2022. The combination of other
the refundable portion of the son to 2021 (2.3 million individuals noncash benefits kept 2.0 million
Child Tax Credit. In 2021, the fully lifted out of poverty). Pandemic individuals out of poverty, while
refundable Child Tax Credit kept expansions to SNAP and school the combination of other cash
over twice as many people out of lunch continued, increasing the benefits kept 1.3 million people out
poverty (5.3 million individuals) as antipoverty effect of these pro- of poverty.33
it did in 2022. grams. In 2022, the combination
Additionally, the SPM subtracts
of SNAP and school lunch moved
The year-to-year change in the amounts paid for child support,
5.1 million people from poverty,
antipoverty effects of different income and payroll taxes, work-
approximately 1.7 million more
assistance programs was mixed, related expenses, and medical
people than in 2021.
reflecting the expiration of some expenses from resources, increas-
tax credits and stimulus programs The SPM also considers other cash ing the number and percentage of
and the tight labor market seen in and noncash benefits such as util- individuals in poverty.34 In 2022,
2022. For example, the effect of ity assistance, housing subsidies, considering medical expenses
unemployment insurance in 2022 and WIC. Housing subsidies kept moved 7.1 million individuals into
decreased (400,000 individuals 2.6 million people out of poverty poverty. Federal income taxes,
15 Poverty in the United States: 2022 U.S. Census Bureau
FICA contributions, and work In 2022, the official poverty rate in ENDNOTES
expenses pushed more individuals the United States was 11.5 percent, 1
The Office of Management and Budget
into poverty in 2022 compared to not statistically different from (OMB) determined the official definition
of poverty in Statistical Policy Directive 14.
2021, while child support paid was 2021. This is the second consecu- Appendix A provides more details on how
not statistically different between tive year in which neither the rate the U.S. Census Bureau calculates official
poverty and on the definition of money
years.35 nor the number in official poverty income.
was significantly different than the 2
For more information on changes in
Tables B-7 and B-8 also show the 2022, refer to Appendix B.
year before. Meanwhile, the SPM 3
Guzman, Gloria, and Melissa Kollar,
effects of individual elements for
rate in 2022 was 12.4 percent, 4.6 “Income in the United States: 2022,” Current
different age groups. Considering Population Reports, P60-279, U.S. Census
percentage points higher than in Bureau, Washington, DC, September
medical expenses, such as contri-
2021. This was higher than the SPM 2023, available at <www.census.gov/
butions toward the cost of medical library/publications/2023/demo/p60-279.
rate in 2019, before the pandemic. html>. Keisler-Starkey, Katherine, Lisa N.
care and health insurance premi-
This was also the first increase Bunch, and Rachel A. Lindstrom, “Health
ums, raised the child poverty rate Insurance in the United States: 2022,” Current
in the SPM rate since 2010. The
by 1.9 percentage points.36 For Population Reports, P60-281, U.S. Census
differing trajectories of the SPM, Bureau, Washington, DC, September 2023,
individuals 65 years and older, available at <www.census.gov/library/
which increased, and the official
medical expenses raised SPM rates publications/2023/demo/p60-281.html>.
poverty measure, which did not 4
Because unrelated individuals under
by 3.6 percentage points, while the age of 15 are excluded from the official
significantly change, were largely
Social Security benefits lowered poverty universe, there were 554,500 fewer
a result of the expiration of expan- children in the official poverty universe
poverty rates by 34.7 percent- than in the total civilian noninstitutionalized
sions to refundable tax credits and
age points for this group. Social population and the SPM universe. More
the pandemic stimulus programs. information on this difference is provided
Security lifted 20.1 million individu-
These were included in the SPM later in the report and in the SPM technical
als 65 and older above the poverty documentation available at <https://www2.
but not in official poverty. In 2022, census.gov/programs-surveys/supplemental-
line in 2022.
the refundable tax credit expan- poverty-measure/datasets/spm/spm_
techdoc.pdf>.
sions kept 6.4 million people out
SUMMARY Poverty rates for the non-Hispanic
5
of poverty—one-third less than in White and Asian populations and the Black
This report provides estimates of and Hispanic (any race) populations were
2021. The impact of this is espe- not significantly different in 2022.
poverty in the United States using cially apparent for children, as the 6
The year-to-year changes in the SPM
both the official poverty measure rate for 18- to 64-year-olds and those 65 and
SPM child poverty rate more than older were not statistically different from one
and the SPM. The results illustrate doubled to 12.4 percent in 2022. another.
how using different definitions
7
Because the CPS ASEC does not ask
The official poverty measure allows income questions for individuals under
of poverty affect who is consid- the age of 15, unrelated individuals under
ered to be in poverty. The official for the uniform measurement of 15 are excluded from the official poverty
poverty over time by using defini- universe. Official+ includes these individuals
poverty measure only considers for a consistent universe with the SPM.
pretax income and uses national tions that have been consistent More information can be found in the SPM
thresholds that are inflation- since the 1960s. The downside of technical documentation available at <https://
www2.census.gov/programs-surveys/
adjusted, allowing for consistent this approach is that it does not supplemental-poverty-measure/datasets/
measurement of poverty over time. capture changes to tax and trans- spm/spm_techdoc.pdf> and in Fox (2017),
available at <www.census.gov/library/working-
The SPM accounts for income and fer programs that can affect family papers/2017/demo/SEHSD-WP2017-42.html>.
payroll taxes, tax credits, noncash and household resources. In con- 8
Thresholds for the SPM are produced by
the BLS Division of Price and Index Number
benefits, and nondiscretionary trast, the SPM captures the effects Research. The 2021 and 2022 thresholds are
expenses and uses geographi- of a wide range of government in Table B-1.
9
It is important to be aware that the CPS
cally adjusted poverty thresholds programs on poverty, including
ASEC is updated periodically to improve
that are updated by the BLS with short-term changes in response data quality. These improvements include
to current events, by accounting changes to survey design, such as sampling
recent information on expenditures and survey instrument changes; changes
for food, clothing, shelter, utili- for many governmental assistance to data processing, such as weighting and
and post-tax programs. Together, data imputation methods; and changes to
ties, telephone, and internet. This how the SPM is constructed. When feasible,
results in a poverty measure that the two measures provide useful the Census Bureau provides data users
information on economic well- with resources that allow them to evaluate
accounts for current standards the impact of these survey changes across
of living and captures the current being—historic and current—which years. As a result, two estimates are provided
anti-poverty programs that oper- are particularly informative during for reference years 2013, 2017, and 2019
which reflect years where there were major
ate primarily as noncash benefits periods of rapid change.
or through the tax system.
U.S. Census Bureau Poverty in the United States: 2022 16
changes to the survey and poverty measure race, Hispanic origin was reported by 16.7 23
The 2022 SPM poverty rates for
methodology. Given these changes, historical percent of White householders, 5.9 percent the White, Two or More Races, and Asian
comparisons should be made with caution. of Black householders, 2.7 percent of Asian populations were not statistically different
In this report, estimates are compared to householders, and 33.4 percent of American from one another.
published estimates for earlier years when Indian and Alaska Native householders. 24
The 2022 SPM rates for Black and
the questionnaire and processing system Data users should exercise caution when Hispanic children were not statistically
changes did not result in statistically interpreting aggregate results for the different.
significant differences. When survey changes Hispanic population or for race groups 25
SPM estimates from 1967 to 2021
did have statistically significant effects on because these populations consist of many are available in Fox et al. (2015), <https://
income or poverty estimates, comparisons distinct groups that differ in socioeconomic onlinelibrary.wiley.com/doi/abs/10.1002/
are made by adjusting historical published characteristics, culture, and nativity. Data pam.21833>.
estimates to approximate the magnitude were first collected for Hispanic individuals 26
The official+ rates for 18- to 64-year-
of these impacts. More details on the in 1972 and for Asian and Pacific Islander and olds and those over 65 were not statistically
adjustment used for these comparisons American Indian and Alaska Native individuals different.
are available at <www.census.gov/library/ in 1987. More information is available at 27
The Census Bureau recommends using
stories/2019/09/us-median-household- <www.census.gov/programs-surveys/cps. the American Community Survey (ACS) for
income-not-significantly-different-from-2017. html>. single-year state-level poverty estimates. A
html>. 14
Estimates for the Asian, American working paper detailing a methodology for
10
The poverty rate for 18- to 64-year- Indian and Alaska Native, and Two or More implementing the SPM in the ACS, research
olds was not statistically different from the Races populations have large variances. This data extracts, and tables for 2009–2019
poverty rate for those 65 and older in 2022. is a result of small sample sizes and the fact were released in 2020. More information
11
A family is a group of two or more that the CPS ASEC does not use separate is available in Fox, Glassman, and Pacas
people (not necessarily including the population controls for weighting these (2020), available at <https://www.census.
householder), related by birth, marriage, or groups to the national totals. The American gov/library/working-papers/2020/demo/
adoption and residing together. A primary Community Survey (ACS), based on a much SEHSD-WP2020-09.html>. An updated
family includes the householder and larger sample of the population, is a better working paper was released in June 2023
members related by the same categories. source for estimating and identifying changes along with a research data extract and state
All such people (including related subfamily for small subgroups of the population. tables for 2021. Refer to <www.census.
members) are considered as members of 15
The poverty rates for the non-Hispanic gov/library/working-papers/2023/demo/
one family. Unrelated individuals are people White and Asian populations and the Black SEHSD-WP-2023-21.html>.
of any age who are not living with any other and Hispanic (any race) populations were 28
Weights for all three years in this
family members. When calculating family not significantly different in 2022. analysis use updated 2020 Census
poverty, these individuals are treated as 16
The poverty-population-to-total- population controls.
single person families. population ratios were not statistically 29
For more information on these one-
12
In the report text and figures, families different for the non-Hispanic White and time payments, refer to <www.census.
with a female householder with no spouse Asian populations. gov/library/working-papers/2023/demo/
present will be referred to as female- 17
The poverty-population-to-total- SEHSD-WP2023-26.html>.
householder families. Families with a male population ratios for the Black and Hispanic 30
The SPM is geographically adjusted
householder with no spouse present will be (any race) populations were not statistically to account for differences in housing costs
referred to as male-householder families. different. The proportions of the poverty (including utilities) and housing tenure,
13
Federal surveys give respondents the population made up of the American Indian while the official+ measure is not. More
option of reporting more than one race. and Alaska Native population and the Two or information is available in the SPM technical
Therefore, two basic ways of defining a race More Races population were not statistically documentation, available at <https://www2.
group are possible. A group, such as Asian, different. census.gov/programs-surveys/supplemental-
may be defined as those who reported 18
Information on educational attainment poverty-measure/datasets/spm/spm_
Asian and no other race (the race-alone in the CPS ASEC is available at <www. techdoc.pdf>.
or single-race concept) or as those who census.gov/programs-surveys/cps/technical- 31
The year-to-year changes for 18- to
reported Asian regardless of whether they documentation/subject-definitions.html>. 64-year-olds and those 65 and older with
also reported another race (the race-alone- Individuals 25 years and older with an resources below half of their poverty
or-in-combination concept). The body of associate degree are included in the “some threshold were not statistically different.
this report (text and figures) shows data college” category. 32
Child support payments received
using the first approach (race alone), along 19
Table B-3 contains rates for a more are counted as income in both the official
with estimates for Two or More Races. The extensive list of demographic groups. poverty measure and the SPM. Child support
appendix tables show data using both 20
The year-to-year changes in the SPM paid is only deducted in the SPM.
approaches. Primary use of the single-race rate for 18- to 64-year-olds and those 65 and 33
Other noncash benefits include utility
population does not imply that it is the older were not statistically different from one assistance; Special Supplemental Nutrition
preferred method of presenting or analyzing another. Program for Women, Infants, and Children;
data. The Census Bureau uses a variety of 21
The 2022 SPM rates for female and the school lunch program. Other cash
approaches. In this report, the terms “White, reference person units and unrelated benefits include workers’ compensation,
not Hispanic” and “non-Hispanic White” are individuals were not statistically different Temporary Assistance for Needy Families,
used interchangeably and refer to people from one another. and child support received.
who are not Hispanic and who reported 22
The year-to-year changes were not 34
Median weekly work expenses were
White and no other race. This report uses statistically different between married $36.48 for 2022 using the 2022 SIPP.
non-Hispanic White as the comparison couple and male reference person units, 35
The year-to-year changes in the
group for other race and Hispanic origin cohabiting couple and male reference person number of people in poverty due to medical
groups. Since Hispanic individuals may be units, cohabiting couple units and unrelated expenses and FICA were not statistically
any race, data in this report for the Hispanic individuals, and male reference person units different from one another.
population overlap with data for race and unrelated individuals. 36
The effect of medical expenses on
groups. Of those who reported only one SPM rates was not statistically different for
children and 18- to 64-year-olds in 2022.
17 Poverty in the United States: 2022 U.S. Census Bureau
APPENDIX A. ESTIMATES OF OFFICIAL POVERTY
HOW OFFICIAL POVERTY IS threshold in 2022 is $35,801. Each poverty rates would be lower. This
CALCULATED member of Family A had the fol- is because the R-CPI-U-RS results
lowing income in 2022: in a smaller cost-of-living adjust-
Following the Office of
ment over longer periods of time
Management and Budget’s (OMB) (In dollars)
than the CPI-U.
Statistical Policy Directive 14, the
U.S. Census Bureau uses a set of Mother $12,500
While the thresholds, in some
dollar value thresholds that vary Father $12,500
sense, represent the needs of fami-
by family size and composition to Great-aunt $11,000
lies, they should be interpreted as
determine who is in poverty (avail- First child $0
a statistical yardstick rather than
able in the table below). Second child $0
as a complete description of what
Total: $36,000
people and families need to live.
If a family’s total money income
Many government assistance pro-
is less than the applicable thresh- Since their total family income
grams use different income eligi-
old, then that family and every ($36,000) was higher than their
bility cutoffs. While official poverty
individual in it are considered to threshold ($35,801), Family A
rates and the number of people or
be in poverty. The official pov- would not be considered “in
families in poverty are important,
erty thresholds are updated poverty.”
the Supplemental Poverty Measure
annually for inflation using the
The OMB Statistical Policy (SPM) uses another approach for
Consumer Price Index for All
Directive 14 directed the Census setting thresholds and defining
Urban Consumers (CPI-U). The
Bureau to consistently update resources. Additional information
official poverty definition uses
the poverty thresholds each year on SPM methodology is available
money income before taxes or tax
for changes in the cost of living. in Appendix B.
credits and excludes capital gains
and noncash benefits (such as Thresholds in this report series are
For a history of the official poverty
Supplemental Nutrition Assistance adjusted using the CPI-U and are
measure, refer to “Poverty: The
Program benefits and housing compared to current year (unad-
History of the Official Poverty
assistance). The thresholds do not justed for inflation) money income.
Measure” available at <www.
vary geographically. If, alternatively, the Consumer
census.gov/topics/income-
Price Index Retroactive Series for
poverty/poverty/about/history-
Example: Suppose Family A com- all Urban Consumers All Items
of-the-poverty-measure.html>
prises five people: two children, (R-CPI-U-RS) index had been used
or “The Development of the
their mother, their father, and their to inflation-adjust poverty thresh-
Orshansky Poverty Thresholds
great-aunt. Family A’s poverty olds from previous years, current
Poverty Thresholds by Size of Family and Number of Related Children Under 18 Years Old: 2022
(In dollars)
Related children under 18 years old
Size of family unit Eight or
None One Two Three Four Five Six Seven more
One person (unrelated individual)
Under age 65 . . . . . . . . . . . . . . . . . . . . 15,225
Aged 65 and older. . . . . . . . . . . . . . . . 14,036
Two people
Householder under age 65 . . . . . . . . 19,597 20,172
Householder aged 65 and older. . . . 17,689 20,095
Three people. . . . . . . . . . . . . . . . . . . . . . . 22,892 23,556 23,578
Four people . . . . . . . . . . . . . . . . . . . . . . . 30,186 30,679 29,678 29,782
Five people. . . . . . . . . . . . . . . . . . . . . . . . 36,402 36,932 35,801 34,926 34,391
Six people. . . . . . . . . . . . . . . . . . . . . . . . . 41,869 42,035 41,169 40,339 39,104 38,373
Seven people. . . . . . . . . . . . . . . . . . . . . . 48,176 48,477 47,440 46,717 45,371 43,800 42,076
Eight people. . . . . . . . . . . . . . . . . . . . . . . 53,881 54,357 53,378 52,521 51,304 49,760 48,153 47,745
Nine people or more. . . . . . . . . . . . . . . . 64,815 65,129 64,263 63,536 62,342 60,699 59,213 58,845 56,578
Source: U.S. Census Bureau, 2023.
18 Poverty in the United States: 2022 U.S. Census Bureau
and Their Subsequent History as 4. Social Security. who are current residents but did
the Official U.S. Poverty Measure” 5. Supplemental Security Income. not reside in the household dur-
by Gordon M. Fisher, available at ing the previous year. It should be
6. Public assistance.
<www.census.gov/library/working- noted that although the income
papers/1997/demo/fisher-02. 7. Veterans’ payments.
statistics refer to receipts during
html>. 8. Survivor benefits. the preceding calendar year, the
9. Disability benefits. demographic characteristics such
Weighted Average Thresholds as age, labor force status, and
10. Pension or retirement income.
Since some data users want a household composition are as of
11. Interest.
summary of the 48 thresholds to the survey date.
12. Dividends.
get a general sense of the “pov-
13. Rents, royalties, and estates and Data users should consider these
erty line,” the following table
trusts. elements when comparing income
provides the weighted average
levels. Moreover, readers should
thresholds for 2022. The weighted 14. Educational assistance.
be aware that for many different
average thresholds are based on 15. Alimony. reasons, many respondents tend
the relative number of unrelated
16. Child support. to misreport or not report all types
individuals and primary families
17. Financial assistance from out- of income.2 Income earned from
of each size and composition and
side the household. wages or salaries, the largest com-
are not used in computing poverty
ponent of money income, tends to
estimates.1 18. Other income.
be more accurately reported and
Data on income collected in the weighted totals are in line with
Weighted Average Poverty
CPS ASEC cover money income other aggregate benchmarks.3
Thresholds in 2022
received (exclusive of certain Still, estimates in this report are
Size of family unit Dollars affected by ongoing challenges
money receipts such as capital
One person . . . . . . . . . . . . 14,880 of nonresponse and misreport-
gains) before payments for per-
Two people . . . . . . . . . . . . 18,900
Three people . . . . . . . . . . . 23,280 sonal income taxes, Social Security, ing. More details on the impact of
Four people . . . . . . . . . . . 29,950 union dues, Medicare deductions, nonresponse bias are available in
Five people . . . . . . . . . . . . 35,510 etc. Money income also excludes Appendix C.
Six people . . . . . . . . . . . . . 40,160
Seven people . . . . . . . . . . 45,690 tax credits such as the Earned
Eight people . . . . . . . . . . . 51,010 Income Tax Credit and the Child ENDNOTES
Nine people or more . . . . 60,300 Tax Credit. Money income does not 1
A primary family is a group of two
Source: U.S. Census Bureau, Current reflect that some families receive or more people, one of whom is the
Population Survey, 2023 Annual Social and householder, related by birth, marriage,
noncash benefits such as supple- or adoption and residing together. All
Economic Supplement (CPS ASEC).
mental nutrition assistance/food such people (including related subfamily
members) are considered as members of one
stamps, health benefits, and subsi- family.
HOW INCOME IS MEASURED dized housing. In addition, money 2
For more information about the extent
and nature of nonresponse and misreporting,
A family’s money income is used income does not reflect the fact refer to Adam Bee, Joshua Mitchell,
to determine the poverty status that noncash benefits often take Nikolas Mittag, Jonathan Rothbaum, Carl
Sanders, Lawrence Schmidt, and Matthew
of the family and all individuals the form of the use of business Unrath, “National Experimental Wellbeing
in it. Money income is calculated transportation and facilities, full or Statistics,” SEHSD Working Paper #2023-02,
U.S. Census Bureau, 2023, <www.census.
for each person 15 years and partial payments by businesses for gov/library/working-papers/2023/demo/
older in the CPS ASEC sample. retirement programs, or medical SEHSD-WP2023-02.html>.
3
For more details on how income
Respondents are asked questions and educational expenses, etc. aggregates compare across different
on the amount of money income surveys, refer to Jonathan L. Rothbaum,
The income of the household does “Comparing Income Aggregates: How do
received in the preceding calendar the CPS and ACS Match the National Income
not include amounts received by
year from each of the following and Product Accounts, 2007–2012,” SEHSD
people who were members during Working Paper 2015-01, U.S. Census Bureau,
sources:
all or part of the previous year if 2015, <www.census.gov/content/dam/
Census/library/working-papers/2015/demo/
1. Earnings. these people no longer resided in SEHSD-WP2015-01.pdf>.
the household at the time of the
2. Unemployment compensation.
interview. However, the CPS ASEC
3. Workers’ compensation.
includes income data for people
U.S. Census Bureau Poverty in the United States: 2022 19
Table A-1.
20 Poverty in the United States: 2022
People in Poverty by Selected Characteristics: 2021 and 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
2021 2022 Change in poverty
Below poverty Below poverty (2022 less 2021)
Characteristic
Margin of Margin of Margin of Margin of
Total Number error¹ (±) Percent error¹ (±) Total Number error¹ (±) Percent error¹ (±) Number Percent
PEOPLE
Total. . . . . . . . . . . . . . . . . . . . . . . . . . 328,200 37,930 908 11.6 0.3 330,100 37,920 1,000 11.5 0.3 –10 –0.1
Race² and Hispanic Origin
White. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248,900 24,920 650 10.0 0.3 248,800 26,050 788 10.5 0.3 *1,128 *0.5
White, not Hispanic. . . . . . . . . . . . . . . . . . 194,300 15,810 528 8.1 0.3 193,200 16,690 612 8.6 0.3 *881 *0.5
Black. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,980 8,583 476 19.5 1.1 44,520 7,626 392 17.1 0.9 *–957 *–2.4
Asian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,680 1,922 183 9.3 0.9 21,590 1,866 211 8.6 1.0 –56 –0.7
American Indian and Alaska Native. . . . . . 4,109 998 161 24.3 3.2 3,983 995 181 25.0 3.5 –3 0.7
Two or More Races. . . . . . . . . . . . . . . . . . . . 9,166 1,298 176 14.2 1.8 9,674 1,180 144 12.2 1.4 –118 –2.0
Hispanic (any race). . . . . . . . . . . . . . . . . . . . 62,480 10,690 469 17.1 0.8 63,800 10,780 491 16.9 0.8 86 –0.2
Sex
Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,800 17,020 478 10.5 0.3 163,100 17,100 513 10.5 0.3 85 Z
Female. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166,400 20,910 542 12.6 0.3 167,000 20,820 589 12.5 0.4 –95 –0.1
Age
Under 18 years. . . . . . . . . . . . . . . . . . . . . . . . 72,940 11,150 444 15.3 0.6 71,950 10,780 433 15.0 0.6 –365 –0.3
18 to 64 years. . . . . . . . . . . . . . . . . . . . . . . . . 199,100 20,980 516 10.5 0.3 200,200 21,240 624 10.6 0.3 260 0.1
65 years and older. . . . . . . . . . . . . . . . . . . . . 56,190 5,802 236 10.3 0.4 57,880 5,897 258 10.2 0.4 95 –0.1
Nativity
Native-born. . . . . . . . . . . . . . . . . . . . . . . . . . . 281,400 31,080 820 11.0 0.3 281,300 31,000 868 11.0 0.3 –88 Z
Foreign-born . . . . . . . . . . . . . . . . . . . . . . . . . 46,810 6,850 344 14.6 0.7 48,740 6,928 371 14.2 0.7 78 –0.4
Naturalized citizen. . . . . . . . . . . . . . . . . . . 22,870 2,428 194 10.6 0.8 23,920 2,257 162 9.4 0.7 –172 *–1.2
Not a citizen. . . . . . . . . . . . . . . . . . . . . . . . 23,930 4,422 288 18.5 1.1 24,810 4,671 314 18.8 1.1 249 0.4
Region
Northeast . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,070 5,664 340 10.1 0.6 56,310 6,083 410 10.8 0.7 419 0.7
Midwest. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,000 7,043 382 10.4 0.6 67,830 6,648 372 9.8 0.5 –395 –0.6
South. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,200 16,630 657 13.2 0.5 128,000 16,830 644 13.2 0.5 194 Z
West. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,930 8,592 348 11.0 0.4 77,970 8,364 422 10.7 0.5 –228 –0.3
Residence³
Inside metropolitan statistical areas. . . . . 285,800 31,570 942 11.0 0.3 286,700 31,410 951 11.0 0.3 –159 –0.1
Inside principal cities. . . . . . . . . . . . . . . . . 104,600 14,960 652 14.3 0.5 103,900 14,620 653 14.1 0.6 –337 –0.2
Outside principal cities. . . . . . . . . . . . . . . 181,200 16,610 701 9.2 0.4 182,800 16,790 708 9.2 0.4 178 Z
Outside metropolitan statistical areas . . . 42,400 6,367 541 15.0 0.8 43,340 6,516 601 15.0 0.9 149 Z
Footnotes available at end of table.
U.S. Census Bureau
Table A-1.
U.S. Census Bureau
People in Poverty by Selected Characteristics: 2021 and 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
2021 2022 Change in poverty
Below poverty Below poverty (2022 less 2021)
Characteristic
Margin of Margin of Margin of Margin of
Total Number error¹ (±) Percent error¹ (±) Total Number error¹ (±) Percent error¹ (±) Number Percent
Work Experience
Total, 18 to 64 years old . . . . . . . . . . 199,100 20,980 516 10.5 0.3 200,200 21,240 624 10.6 0.3 260 0.1
All workers . . . . . . . . . . . . . . . . . . . . . . . . . . . 153,000 7,189 266 4.7 0.2 155,100 7,401 307 4.8 0.2 212 0.1
Worked full-time, year-round . . . . . . . . . 110,700 2,045 129 1.8 0.1 114,500 2,192 144 1.9 0.1 148 0.1
Less than full-time, year-round. . . . . . . . 42,290 5,144 210 12.2 0.5 40,560 5,209 241 12.8 0.5 65 0.7
Did not work. . . . . . . . . . . . . . . . . . . . . . . . . . 46,050 13,790 371 30.0 0.7 45,150 13,840 472 30.7 0.9 47 0.7
Disability Status⁴
Total, 18 to 64 years old . . . . . . . . . . 199,100 20,980 516 10.5 0.3 200,200 21,240 624 10.6 0.3 260 0.1
With a disability. . . . . . . . . . . . . . . . . . . . . . . 16,040 3,993 206 24.9 1.1 15,860 3,801 205 24.0 1.1 –192 –0.9
With no disability. . . . . . . . . . . . . . . . . . . . . . 182,100 16,920 484 9.3 0.3 183,500 17,370 543 9.5 0.3 449 0.2
Educational Attainment
Total, 25 years old and older . . . . . . 226,300 22,630 554 10.0 0.2 227,700 22,480 615 9.9 0.3 –155 –0.1
No high school diploma. . . . . . . . . . . . . . . . 19,930 5,417 232 27.2 1.0 19,530 4,929 258 25.2 1.1 *–488 *–1.9
High school, no college . . . . . . . . . . . . . . . . 64,470 8,518 307 13.2 0.5 64,110 8,519 359 13.3 0.5 1 0.1
Some college. . . . . . . . . . . . . . . . . . . . . . . . . 56,660 5,229 237 9.2 0.4 56,730 5,286 256 9.3 0.4 57 0.1
Bachelor’s degree or higher . . . . . . . . . . . . 85,220 3,467 198 4.1 0.2 87,310 3,742 186 4.3 0.2 *275 0.2
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
Z Rounds to zero.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable the estimate. This number, when added to and
subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table are based on standard errors calculated using replicate weights.
² Federal surveys give respondents the option of reporting more than one race. Therefore, two basic ways of defining a race group are possible. A group, such as Asian, may be defined as
those who reported Asian and no other race (the race-alone or single-race concept) or as those who reported Asian regardless of whether they also reported another race (the race-alone-or-
in-combination concept). This table shows estimates for the race-alone population and the Two or More Races population. The primary use of the single-race population does not imply that it
is the preferred method of presenting or analyzing data. The Census Bureau presents data on race in a variety of ways. Estimates for Native Hawaiians and Other Pacific Islanders are not shown
separately due to sample size.
Poverty in the United States: 2022 21
³ Information on metropolitan statistical areas and principal cities is available at <www.census.gov/programs-surveys/metro-micro/about/glossary.html>.
⁴ The sum of those with and without a disability does not equal the total because disability status is not defined for individuals in the U.S. armed forces.
Note: Details may not sum to totals because of rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
22 Poverty in the United States: 2022
Table A-2.
Families and People in Poverty by Type of Family: 2021 and 2022
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
2021 2022 Change in poverty
Below poverty Below poverty (2022 less 2021)
Characteristic Margin Margin Margin Margin
of error¹ of error¹ of error¹ of error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Number Percent
FAMILIES
Primary Families² . . . . . . . . . . . . . . . . . . . . . . 84,280 7,415 218 8.8 0.3 84,350 7,400 258 8.8 0.3 –16 Z
Married-couple. . . . . . . . . . . . . . . . . . . . . . . . . 61,450 2,951 146 4.8 0.2 62,180 3,117 159 5.0 0.3 166 0.2
Female householder, no spouse present. . . 15,620 3,596 167 23.0 1.0 15,040 3,462 171 23.0 1.0 –134 Z
Male householder, no spouse present. . . . . 7,214 869 71 12.0 1.0 7,130 821 73 11.5 1.0 –47 –0.5
Unrelated Subfamilies³. . . . . . . . . . . . . . . . . . 420 139 35 33.2 6.9 392 116 27 29.6 6.3 –24 –3.6
PEOPLE
People in Families
In primary families². . . . . . . . . . . . . . . . . . . . . . . 263,800 25,080 765 9.5 0.3 265,500 24,860 832 9.4 0.3 –216 –0.1
Related children under age 18. . . . . . . . . . . . 72,130 10,800 440 15.0 0.6 71,240 10,530 427 14.8 0.6 –270 –0.2
Related children under age 6. . . . . . . . . . . 22,200 3,573 191 16.1 0.9 21,980 3,497 210 15.9 0.9 –76 –0.2
In married-couple families. . . . . . . . . . . . . . . . . 194,400 10,160 531 5.2 0.3 197,200 10,720 538 5.4 0.3 557 0.2
Related children under age 18. . . . . . . . . . . . 49,180 3,320 253 6.7 0.5 49,480 3,419 236 6.9 0.5 99 0.2
Related children under age 6. . . . . . . . . . . 15,600 1,055 118 6.8 0.7 15,800 1,091 115 6.9 0.7 36 0.1
In families with a female householder,
no spouse present. . . . . . . . . . . . . . . . . . . . . . . 48,480 12,260 563 25.3 1.0 47,420 11,720 582 24.7 1.1 –549 –0.6
Related children under age 18. . . . . . . . . . . . 17,420 6,474 343 37.2 1.6 16,500 6,144 350 37.2 1.7 –330 0.1
Related children under age 6. . . . . . . . . . . 5,009 2,204 158 44.0 2.5 4,554 2,043 167 44.9 2.6 –161 0.9
In families with a male householder,
no spouse present. . . . . . . . . . . . . . . . . . . . . . . 20,940 2,650 237 12.7 1.1 20,870 2,425 224 11.6 1.0 –225 –1.0
Related children under age 18. . . . . . . . . . . . 5,524 1,002 129 18.1 2.1 5,260 963 124 18.3 2.0 –39 0.2
Related children under age 6. . . . . . . . . . . 1,593 313 54 19.7 3.1 1,626 363 68 22.3 3.5 50 2.7
In unrelated subfamilies³. . . . . . . . . . . . . . . . . . 1,029 343 84 33.3 6.7 931 277 60 29.7 6.3 –66 –3.6
Children under age 18. . . . . . . . . . . . . . . . . . . 550 197 51 35.9 7.3 467 147 36 31.5 7.5 –51 –4.5
People Not in Families
Unrelated individuals⁴. . . . . . . . . . . . . . . . . . . . . 63,400 12,510 386 19.7 0.5 63,620 12,790 428 20.1 0.6 273 0.4
Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,560 5,620 253 17.8 0.7 31,440 5,693 270 18.1 0.8 73 0.3
Female. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,840 6,893 256 21.7 0.7 32,180 7,092 266 22.0 0.8 199 0.4
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
Z Rounds to zero.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable the estimate. This number, when added to and
subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table are based on standard errors calculated using replicate weights.
² A primary family is a group of two or more people, one of whom is the householder, related by birth, marriage, or adoption and residing together. All such people (including related sub-
family members) are considered as members of one family.
³ An unrelated subfamily is defined as a married couple with or without children or a single parent with one or more own, never-married children under the age of 18 living in a household
U.S. Census Bureau
and not related by birth, marriage, or adoption to the householder.
⁴ Unrelated individuals are people of any age who are not living with any other family members.
Note: Details may not sum to totals because of rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
ALL RACES
2022. . . . . . . . . . . . . 330,100 37,920 11.5 71,950 10,780 15.0 200,200 21,240 10.6 57,880 5,897 10.2
2021. . . . . . . . . . . . . 328,200 37,930 11.6 72,940 11,150 15.3 199,100 20,980 10.5 56,190 5,802 10.3
2020¹ . . . . . . . . . . . . 327,600 37,550 11.5 73,540 11,790 16.0 199,800 20,910 10.5 54,280 4,852 8.9
2019. . . . . . . . . . . . . 324,800 33,980 10.5 72,640 10,470 14.4 197,500 18,660 9.4 54,640 4,858 8.9
2018. . . . . . . . . . . . . 323,800 38,150 11.8 73,280 11,870 16.2 197,800 21,130 10.7 52,790 5,146 9.7
2017² . . . . . . . . . . . . 322,500 39,560 12.3 73,470 12,760 17.4 198,000 21,910 11.1 51,070 4,893 9.6
2017. . . . . . . . . . . . . 322,500 39,700 12.3 73,360 12,810 17.5 198,100 22,210 11.2 51,080 4,681 9.2
2016. . . . . . . . . . . . . 319,900 40,620 12.7 73,590 13,250 18.0 197,100 22,800 11.6 49,270 4,568 9.3
2015. . . . . . . . . . . . . 318,500 43,120 13.5 73,650 14,510 19.7 197,300 24,410 12.4 47,550 4,201 8.8
2014. . . . . . . . . . . . . 315,800 46,660 14.8 73,560 15,540 21.1 196,300 26,530 13.5 45,990 4,590 10.0
2013³ . . . . . . . . . . . . 313,100 46,270 14.8 73,440 15,800 21.5 194,700 25,900 13.3 44,960 4,569 10.2
2013⁴ . . . . . . . . . . . . 313,000 45,320 14.5 73,630 14,660 19.9 194,800 26,430 13.6 44,510 4,231 9.5
2012. . . . . . . . . . . . . 310,600 46,500 15.0 73,720 16,070 21.8 193,600 26,500 13.7 43,290 3,926 9.1
2011. . . . . . . . . . . . . 308,500 46,250 15.0 73,740 16,130 21.9 193,200 26,490 13.7 41,510 3,620 8.7
2010⁵ . . . . . . . . . . . . 306,100 46,340 15.1 73,870 16,290 22.0 192,500 26,500 13.8 39,780 3,558 8.9
2009. . . . . . . . . . . . . 303,800 43,570 14.3 74,580 15,450 20.7 190,600 24,680 12.9 38,610 3,433 8.9
2008. . . . . . . . . . . . . 301,000 39,830 13.2 74,070 14,070 19.0 189,200 22,110 11.7 37,790 3,656 9.7
2007. . . . . . . . . . . . . 298,700 37,280 12.5 74,000 13,320 18.0 187,900 20,400 10.9 36,790 3,556 9.7
2006. . . . . . . . . . . . . 296,500 36,460 12.3 73,730 12,830 17.4 186,700 20,240 10.8 36,040 3,394 9.4
2005. . . . . . . . . . . . . 293,100 36,950 12.6 73,290 12,900 17.6 184,300 20,450 11.1 35,510 3,603 10.1
2004⁶ . . . . . . . . . . . . 290,600 37,040 12.7 73,240 13,040 17.8 182,200 20,550 11.3 35,210 3,453 9.8
2003. . . . . . . . . . . . . 287,700 35,860 12.5 73,000 12,870 17.6 180,000 19,440 10.8 34,660 3,552 10.2
2002. . . . . . . . . . . . . 285,300 34,570 12.1 72,700 12,130 16.7 178,400 18,860 10.6 34,230 3,576 10.4
2001. . . . . . . . . . . . . 281,500 32,910 11.7 72,020 11,730 16.3 175,700 17,760 10.1 33,770 3,414 10.1
2000⁷ . . . . . . . . . . . . 278,900 31,580 11.3 71,740 11,590 16.2 173,600 16,670 9.6 33,570 3,323 9.9
1999⁸ . . . . . . . . . . . . 276,200 32,790 11.9 71,690 12,280 17.1 171,100 17,290 10.1 33,380 3,222 9.7
1998. . . . . . . . . . . . . 271,100 34,480 12.7 71,340 13,470 18.9 167,300 17,620 10.5 32,390 3,386 10.5
1997. . . . . . . . . . . . . 268,500 35,570 13.3 71,070 14,110 19.9 165,300 18,090 10.9 32,080 3,376 10.5
1996. . . . . . . . . . . . . 266,200 36,530 13.7 70,650 14,460 20.5 163,700 18,640 11.4 31,880 3,428 10.8
1995⁹ . . . . . . . . . . . . 263,700 36,430 13.8 70,570 14,670 20.8 161,500 18,440 11.4 31,660 3,318 10.5
199410. . . . . . . . . . . . 261,600 38,060 14.5 70,020 15,290 21.8 160,300 19,110 11.9 31,270 3,663 11.7
199311. . . . . . . . . . . . 259,300 39,270 15.1 69,290 15,730 22.7 159,200 19,780 12.4 30,780 3,755 12.2
199212. . . . . . . . . . . . 256,500 38,010 14.8 68,440 15,290 22.3 157,700 18,790 11.9 30,430 3,928 12.9
199113. . . . . . . . . . . . 251,200 35,710 14.2 65,920 14,340 21.8 154,700 17,590 11.4 30,590 3,781 12.4
1990. . . . . . . . . . . . . 248,600 33,590 13.5 65,050 13,430 20.6 153,500 16,500 10.7 30,090 3,658 12.2
1989. . . . . . . . . . . . . 246,000 31,530 12.8 64,140 12,590 19.6 152,300 15,580 10.2 29,570 3,363 11.4
198814. . . . . . . . . . . . 243,500 31,750 13.0 63,750 12,460 19.5 150,800 15,810 10.5 29,020 3,481 12.0
198714. . . . . . . . . . . . 241,000 32,220 13.4 63,290 12,840 20.3 149,200 15,820 10.6 28,490 3,563 12.5
1986. . . . . . . . . . . . . 238,600 32,370 13.6 62,950 12,880 20.5 147,600 16,020 10.8 27,980 3,477 12.4
198515. . . . . . . . . . . . 236,600 33,060 14.0 62,880 13,010 20.7 146,400 16,600 11.3 27,320 3,456 12.6
198416. . . . . . . . . . . . 233,800 33,700 14.4 62,450 13,420 21.5 144,600 16,950 11.7 26,820 3,330 12.4
1983. . . . . . . . . . . . . 231,700 35,300 15.2 62,330 13,910 22.3 143,100 17,770 12.4 26,310 3,625 13.8
1982. . . . . . . . . . . . . 229,400 34,400 15.0 62,350 13,650 21.9 141,300 17,000 12.0 25,740 3,751 14.6
198117. . . . . . . . . . . . 227,200 31,820 14.0 62,450 12,510 20.0 139,500 15,460 11.1 25,230 3,853 15.3
1980. . . . . . . . . . . . . 225,000 29,270 13.0 62,910 11,540 18.3 137,400 13,860 10.1 24,690 3,871 15.7
197918. . . . . . . . . . . . 222,900 26,070 11.7 63,380 10,380 16.4 135,300 12,010 8.9 24,190 3,682 15.2
1978. . . . . . . . . . . . . 215,700 24,500 11.4 62,310 9,931 15.9 130,200 11,330 8.7 23,180 3,233 14.0
1977. . . . . . . . . . . . . 213,900 24,720 11.6 63,140 10,290 16.2 128,300 11,320 8.8 22,470 3,177 14.1
1976. . . . . . . . . . . . . 212,300 24,980 11.8 64,030 10,270 16.0 126,200 11,390 9.0 22,100 3,313 15.0
1975. . . . . . . . . . . . . 210,900 25,880 12.3 65,080 11,100 17.1 124,100 11,460 9.2 21,660 3,317 15.3
197419. . . . . . . . . . . . 209,400 23,370 11.2 66,130 10,160 15.4 122,100 10,130 8.3 21,130 3,085 14.6
1973. . . . . . . . . . . . . 207,600 22,970 11.1 66,960 9,642 14.4 120,100 9,977 8.3 20,600 3,354 16.3
197220. . . . . . . . . . . . 206,000 24,460 11.9 67,930 10,280 15.1 118,000 10,440 8.8 20,120 3,738 18.6
197121. . . . . . . . . . . . 204,600 25,560 12.5 68,820 10,550 15.3 115,900 10,740 9.3 19,830 4,273 21.6
1970. . . . . . . . . . . . . 202,200 25,420 12.6 69,160 10,440 15.1 113,600 10,190 9.0 19,470 4,793 24.6
1969. . . . . . . . . . . . . 199,500 24,150 12.1 69,090 9,691 14.0 111,500 9,669 8.7 18,900 4,787 25.3
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 23
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
1968. . . . . . . . . . . . . 197,600 25,390 12.8 70,390 10,950 15.6 108,700 9,803 9.0 18,560 4,632 25.0
196722. . . . . . . . . . . . 195,700 27,770 14.2 70,410 11,660 16.6 107,000 10,730 10.0 18,240 5,388 29.5
1966. . . . . . . . . . . . . 193,400 28,510 14.7 70,220 12,390 17.6 105,200 11,010 10.5 17,930 5,114 28.5
1965. . . . . . . . . . . . . 191,400 33,190 17.3 69,990 14,680 21.0 N N N N N N
1964. . . . . . . . . . . . . 189,700 36,060 19.0 69,710 16,050 23.0 N N N N N N
1963. . . . . . . . . . . . . 187,300 36,440 19.5 69,180 16,010 23.1 N N N N N N
1962. . . . . . . . . . . . . 184,300 38,630 21.0 67,720 16,960 25.0 N N N N N N
1961. . . . . . . . . . . . . 181,300 39,630 21.9 66,120 16,910 25.6 N N N N N N
1960. . . . . . . . . . . . . 179,500 39,850 22.2 65,600 17,630 26.9 N N N N N N
1959. . . . . . . . . . . . . 176,600 39,490 22.4 64,320 17,550 27.3 96,690 16,460 17.0 15,560 5,481 35.2
WHITE ALONE23
2022. . . . . . . . . . . . . 248,800 26,050 10.5 50,650 6,849 13.5 150,400 14,880 9.9 47,780 4,320 9.0
2021. . . . . . . . . . . . . 248,900 24,920 10.0 51,690 6,631 12.8 150,700 14,050 9.3 46,550 4,236 9.1
2020¹ . . . . . . . . . . . . 249,100 25,180 10.1 52,330 7,313 14.0 151,400 14,360 9.5 45,330 3,513 7.8
2019. . . . . . . . . . . . . 248,100 22,510 9.1 52,490 6,443 12.3 149,800 12,540 8.4 45,760 3,534 7.7
2018. . . . . . . . . . . . . 247,600 24,950 10.1 52,760 7,049 13.4 150,600 14,130 9.4 44,310 3,762 8.5
2017² . . . . . . . . . . . . 247,300 26,030 10.5 53,100 7,796 14.7 151,200 14,650 9.7 43,000 3,577 8.3
2017. . . . . . . . . . . . . 247,300 26,440 10.7 53,020 8,041 15.2 151,300 15,030 9.9 42,990 3,368 7.8
2016. . . . . . . . . . . . . 246,000 27,110 11.0 53,320 8,324 15.6 151,000 15,470 10.2 41,620 3,322 8.0
2015. . . . . . . . . . . . . 245,500 28,570 11.6 53,550 9,204 17.2 151,700 16,330 10.8 40,250 3,037 7.5
2014. . . . . . . . . . . . . 244,300 31,090 12.7 53,640 9,602 17.9 151,600 18,090 11.9 39,050 3,400 8.7
2013³ . . . . . . . . . . . . 243,300 31,290 12.9 53,640 10,300 19.2 151,200 17,630 11.7 38,480 3,362 8.7
2013⁴ . . . . . . . . . . . . 243,100 29,940 12.3 53,850 8,808 16.4 151,300 17,930 11.8 37,910 3,197 8.4
2012. . . . . . . . . . . . . 242,100 30,820 12.7 54,070 9,979 18.5 151,000 17,950 11.9 37,040 2,891 7.8
2011. . . . . . . . . . . . . 241,300 30,850 12.8 54,190 10,100 18.6 151,400 18,010 11.9 35,730 2,739 7.7
2010⁵ . . . . . . . . . . . . 240,000 31,080 13.0 54,490 10,090 18.5 151,200 18,350 12.1 34,270 2,638 7.7
2009. . . . . . . . . . . . . 242,000 29,830 12.3 56,270 9,938 17.7 152,400 17,390 11.4 33,410 2,501 7.5
2008. . . . . . . . . . . . . 240,500 26,990 11.2 56,150 8,863 15.8 151,700 15,360 10.1 32,710 2,771 8.5
2007. . . . . . . . . . . . . 239,100 25,120 10.5 56,420 8,395 14.9 150,900 14,140 9.4 31,840 2,590 8.1
2006. . . . . . . . . . . . . 237,600 24,420 10.3 56,210 7,908 14.1 150,100 14,040 9.3 31,270 2,473 7.9
2005. . . . . . . . . . . . . 235,400 24,870 10.6 56,080 8,085 14.4 148,500 14,090 9.5 30,910 2,700 8.7
2004⁶ . . . . . . . . . . . . 233,700 25,330 10.8 56,050 8,308 14.8 147,000 14,490 9.9 30,710 2,534 8.3
2003. . . . . . . . . . . . . 231,900 24,270 10.5 55,780 7,985 14.3 145,800 13,620 9.3 30,300 2,666 8.8
2002. . . . . . . . . . . . . 230,400 23,470 10.2 55,700 7,549 13.6 144,700 13,180 9.1 29,980 2,739 9.1
WHITE24
2001. . . . . . . . . . . . . 229,700 22,740 9.9 56,090 7,527 13.4 143,800 12,560 8.7 29,790 2,656 8.9
2000⁷ . . . . . . . . . . . . 227,800 21,650 9.5 55,980 7,307 13.1 142,200 11,750 8.3 29,700 2,584 8.7
1999⁸ . . . . . . . . . . . . 225,400 22,170 9.8 55,830 7,639 13.7 140,000 12,090 8.6 29,550 2,446 8.3
1998. . . . . . . . . . . . . 222,800 23,450 10.5 56,020 8,443 15.1 138,100 12,460 9.0 28,760 2,555 8.9
1997. . . . . . . . . . . . . 221,200 24,400 11.0 55,860 8,990 16.1 136,800 12,840 9.4 28,550 2,569 9.0
1996. . . . . . . . . . . . . 219,700 24,650 11.2 55,610 9,044 16.3 135,600 12,940 9.5 28,460 2,667 9.4
1995⁹ . . . . . . . . . . . . 218,000 24,420 11.2 55,440 8,981 16.2 134,100 12,870 9.6 28,440 2,572 9.0
199410. . . . . . . . . . . . 216,500 25,380 11.7 55,190 9,346 16.9 133,300 13,190 9.9 27,990 2,846 10.2
199311. . . . . . . . . . . . 214,900 26,230 12.2 54,640 9,752 17.8 132,700 13,540 10.2 27,580 2,939 10.7
199212. . . . . . . . . . . . 213,100 25,260 11.9 54,110 9,399 17.4 131,700 12,870 9.8 27,260 2,989 11.0
199113. . . . . . . . . . . . 210,100 23,750 11.3 52,520 8,848 16.8 130,300 12,100 9.3 27,300 2,802 10.3
1990. . . . . . . . . . . . . 208,600 22,330 10.7 51,930 8,232 15.9 129,800 11,390 8.8 26,900 2,707 10.1
1989. . . . . . . . . . . . . 206,900 20,790 10.0 51,400 7,599 14.8 129,000 10,650 8.3 26,480 2,539 9.6
198814. . . . . . . . . . . . 205,200 20,720 10.1 51,200 7,435 14.5 128,000 10,690 8.3 26,000 2,593 10.0
198714. . . . . . . . . . . . 203,600 21,200 10.4 51,010 7,788 15.3 127,000 10,700 8.4 25,600 2,704 10.6
1986. . . . . . . . . . . . . 202,300 22,180 11.0 51,110 8,209 16.1 126,000 11,290 9.0 25,170 2,689 10.7
198515. . . . . . . . . . . . 200,900 22,860 11.4 51,030 8,253 16.2 125,300 11,910 9.5 24,630 2,698 11.0
198416. . . . . . . . . . . . 198,900 22,960 11.5 50,810 8,472 16.7 123,900 11,900 9.6 24,210 2,579 10.7
1983. . . . . . . . . . . . . 197,500 23,980 12.1 50,730 8,862 17.5 123,000 12,350 10.0 23,750 2,776 11.7
1982. . . . . . . . . . . . . 195,900 23,520 12.0 50,920 8,678 17.0 121,800 11,970 9.8 23,230 2,870 12.4
Footnotes available at end of table.
24 Poverty in the United States: 2022 U.S. Census Bureau
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
198117. . . . . . . . . . . . 194,500 21,550 11.1 51,140 7,785 15.2 120,600 10,790 8.9 22,790 2,978 13.1
1980. . . . . . . . . . . . . 192,900 19,700 10.2 51,650 7,181 13.9 118,900 9,478 8.0 22,330 3,042 13.6
197918. . . . . . . . . . . . 191,700 17,210 9.0 52,260 6,193 11.8 117,600 8,110 6.9 21,900 2,911 13.3
1978. . . . . . . . . . . . . 186,500 16,260 8.7 51,670 5,831 11.3 113,800 7,897 6.9 20,950 2,530 12.1
1977. . . . . . . . . . . . . 185,300 16,420 8.9 52,560 6,097 11.6 112,400 7,893 7.0 20,320 2,426 11.9
1976. . . . . . . . . . . . . 184,200 16,710 9.1 53,430 6,189 11.6 110,700 7,890 7.1 20,020 2,633 13.2
1975. . . . . . . . . . . . . 183,200 17,770 9.7 54,410 6,927 12.7 109,100 8,210 7.5 19,650 2,634 13.4
197419. . . . . . . . . . . . 182,400 15,740 8.6 55,590 6,223 11.2 107,600 7,053 6.6 19,210 2,460 12.8
1973. . . . . . . . . . . . . 181,200 15,140 8.4 N N N N N N N 2,698 14.4
197220. . . . . . . . . . . . 180,100 16,200 9.0 N N N N N N N 3,072 16.8
197121. . . . . . . . . . . . 179,400 17,780 9.9 N N N N N N N 3,605 19.9
1970. . . . . . . . . . . . . 177,400 17,480 9.9 N N N N N N N 4,011 22.6
1969. . . . . . . . . . . . . 175,300 16,660 9.5 N N N N N N N 4,052 23.3
1968. . . . . . . . . . . . . 173,700 17,400 10.0 N N N N N N 17,060 3,939 23.1
196722. . . . . . . . . . . . 172,000 18,980 11.0 N N N N N N 16,790 4,646 27.7
1966. . . . . . . . . . . . . 170,200 19,290 11.3 N N N N N N 16,510 4,357 26.4
1965. . . . . . . . . . . . . 168,700 22,500 13.3 N N N N N N N N N
1960. . . . . . . . . . . . . 158,900 28,310 17.8 N N N N N N N N N
1959. . . . . . . . . . . . . 157,000 28,480 18.1 N N N N N N N 4,744 33.1
WHITE ALONE,
NOT HISPANIC23
2022. . . . . . . . . . . . . 193,200 16,690 8.6 34,930 3,371 9.7 115,300 9,805 8.5 42,970 3,510 8.2
2021. . . . . . . . . . . . . 194,300 15,810 8.1 35,900 3,162 8.8 116,600 9,289 8.0 41,850 3,354 8.0
2020¹ . . . . . . . . . . . . 195,100 16,040 8.2 36,450 3,593 9.9 117,800 9,677 8.2 40,860 2,768 6.8
2019. . . . . . . . . . . . . 194,600 14,150 7.3 36,390 3,030 8.3 116,800 8,321 7.1 41,440 2,801 6.8
2018. . . . . . . . . . . . . 194,800 15,730 8.1 36,620 3,265 8.9 118,000 9,510 8.1 40,220 2,951 7.3
2017² . . . . . . . . . . . . 195,200 16,620 8.5 37,120 3,793 10.2 119,000 9,884 8.3 39,130 2,942 7.5
2017. . . . . . . . . . . . . 195,300 16,990 8.7 37,050 4,026 10.9 119,100 10,230 8.6 39,130 2,737 7.0
2016. . . . . . . . . . . . . 195,200 17,260 8.8 37,490 4,050 10.8 119,800 10,530 8.8 37,950 2,687 7.1
2015. . . . . . . . . . . . . 195,500 17,790 9.1 37,860 4,563 12.1 120,900 10,810 8.9 36,680 2,411 6.6
2014. . . . . . . . . . . . . 195,200 19,650 10.1 38,060 4,679 12.3 121,400 12,170 10.0 35,730 2,801 7.8
2013³ . . . . . . . . . . . . 195,100 19,550 10.0 38,170 5,116 13.4 121,600 11,690 9.6 35,320 2,745 7.8
2013⁴ . . . . . . . . . . . . 195,200 18,800 9.6 38,400 4,094 10.7 122,000 12,130 9.9 34,780 2,569 7.4
2012. . . . . . . . . . . . . 195,100 18,940 9.7 38,760 4,782 12.3 122,200 11,830 9.7 34,130 2,324 6.8
2011. . . . . . . . . . . . . 195,000 19,170 9.8 38,960 4,850 12.5 123,100 12,110 9.8 32,900 2,210 6.7
2010⁵ . . . . . . . . . . . . 194,800 19,250 9.9 39,440 4,866 12.3 123,700 12,230 9.9 31,620 2,155 6.8
2009. . . . . . . . . . . . . 197,200 18,530 9.4 40,920 4,850 11.9 125,500 11,660 9.3 30,740 2,022 6.6
2008. . . . . . . . . . . . . 196,900 17,020 8.6 41,310 4,364 10.6 125,500 10,380 8.3 30,150 2,280 7.6
2007. . . . . . . . . . . . . 196,600 16,030 8.2 41,980 4,255 10.1 125,200 9,598 7.7 29,440 2,179 7.4
2006. . . . . . . . . . . . . 196,000 16,010 8.2 42,210 4,208 10.0 124,800 9,761 7.8 28,990 2,044 7.0
2005. . . . . . . . . . . . . 195,600 16,230 8.3 42,520 4,254 10.0 124,300 9,708 7.8 28,700 2,264 7.9
2004⁶ . . . . . . . . . . . . 195,100 16,910 8.7 42,980 4,519 10.5 123,500 10,240 8.3 28,640 2,153 7.5
2003. . . . . . . . . . . . . 194,600 15,900 8.2 43,150 4,233 9.8 123,100 9,391 7.6 28,340 2,277 8.0
2002. . . . . . . . . . . . . 194,100 15,570 8.0 43,610 4,090 9.4 122,500 9,157 7.5 28,020 2,321 8.3
WHITE, NOT
HISPANIC24
2001. . . . . . . . . . . . . 194,500 15,270 7.8 44,100 4,194 9.5 122,500 8,811 7.2 27,970 2,266 8.1
2000⁷ . . . . . . . . . . . . 193,700 14,370 7.4 44,240 4,018 9.1 121,500 8,130 6.7 27,950 2,218 7.9
1999⁸ . . . . . . . . . . . . 192,600 14,740 7.7 44,270 4,155 9.4 120,300 8,462 7.0 27,950 2,118 7.6
1998. . . . . . . . . . . . . 192,800 15,800 8.2 45,360 4,822 10.6 120,300 8,760 7.3 27,120 2,217 8.2
1997. . . . . . . . . . . . . 191,900 16,490 8.6 45,490 5,204 11.4 119,400 9,088 7.6 27,000 2,200 8.1
1996. . . . . . . . . . . . . 191,500 16,460 8.6 45,610 5,072 11.1 118,800 9,074 7.6 27,030 2,316 8.6
1995⁹ . . . . . . . . . . . . 191,000 16,270 8.5 45,690 5,115 11.2 118,200 8,908 7.5 27,030 2,243 8.3
199410. . . . . . . . . . . . 192,500 18,110 9.4 46,670 5,823 12.5 119,200 9,732 8.2 26,680 2,556 9.6
199311. . . . . . . . . . . . 190,800 18,880 9.9 46,100 6,255 13.6 118,500 9,964 8.4 26,270 2,663 10.1
199212. . . . . . . . . . . . 189,000 18,200 9.6 45,590 6,017 13.2 117,400 9,461 8.1 26,030 2,724 10.5
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 25
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
199113. . . . . . . . . . . . 189,100 17,740 9.4 45,240 5,918 13.1 117,700 9,244 7.9 26,210 2,580 9.8
1990. . . . . . . . . . . . . 188,100 16,620 8.8 44,800 5,532 12.3 117,500 8,619 7.3 25,850 2,471 9.6
1989. . . . . . . . . . . . . 187,000 15,600 8.3 44,490 5,110 11.5 117,000 8,154 7.0 25,500 2,335 9.2
198814. . . . . . . . . . . . 186,000 15,570 8.4 44,440 4,888 11.0 116,500 8,293 7.1 25,040 2,384 9.5
198714. . . . . . . . . . . . 184,900 16,030 8.7 44,460 5,230 11.8 115,700 8,327 7.2 24,750 2,472 10.0
1986. . . . . . . . . . . . . 184,100 17,240 9.4 44,660 5,789 13.0 115,200 8,963 7.8 24,300 2,492 10.3
198515. . . . . . . . . . . . 183,500 17,840 9.7 44,750 5,745 12.8 115,000 9,608 8.4 23,730 2,486 10.5
198416. . . . . . . . . . . . 182,500 18,300 10.0 44,890 6,156 13.7 114,200 9,734 8.5 23,400 2,410 10.3
1983. . . . . . . . . . . . . 181,400 19,540 10.8 44,830 6,649 14.8 113,600 10,280 9.1 22,990 2,610 11.4
1982. . . . . . . . . . . . . 181,900 19,360 10.6 45,530 6,566 14.4 113,700 10,080 8.9 22,660 2,714 12.0
198117. . . . . . . . . . . . 180,900 17,990 9.9 45,950 5,946 12.9 112,700 9,207 8.2 22,240 2,834 12.7
1980. . . . . . . . . . . . . 179,800 16,370 9.1 46,580 5,510 11.8 111,500 7,990 7.2 21,760 2,865 13.2
197918. . . . . . . . . . . . 178,800 14,420 8.1 46,970 4,730 10.1 110,500 6,930 6.3 21,340 2,759 12.9
1978. . . . . . . . . . . . . 174,700 13,760 7.9 46,820 4,506 9.6 107,500 6,837 6.4 20,430 2,412 11.8
1977. . . . . . . . . . . . . 173,600 13,800 8.0 47,690 4,714 9.9 106,100 6,772 6.4 19,810 2,316 11.7
1976. . . . . . . . . . . . . 173,200 14,030 8.1 48,820 4,799 9.8 104,800 6,720 6.4 19,570 2,506 12.8
1975. . . . . . . . . . . . . 172,400 14,880 8.6 49,670 5,342 10.8 103,500 7,039 6.8 19,250 2,503 13.0
197419. . . . . . . . . . . . 171,500 13,220 7.7 50,760 4,820 9.5 101,900 6,051 5.9 18,810 2,346 12.5
BLACK ALONE
OR IN
COMBINATION
2022. . . . . . . . . . . . . 49,100 8,353 17.0 13,540 2,929 21.6 29,460 4,353 14.8 6,097 1,070 17.5
2021. . . . . . . . . . . . . 48,230 9,298 19.3 13,440 3,484 25.9 28,940 4,776 16.5 5,845 1,038 17.8
2020¹ . . . . . . . . . . . . 48,260 9,311 19.3 13,570 3,575 26.3 29,200 4,797 16.4 5,487 939 17.1
2019. . . . . . . . . . . . . 47,260 8,836 18.7 13,020 3,338 25.6 28,840 4,531 15.7 5,394 966 17.9
2018. . . . . . . . . . . . . 46,830 9,695 20.7 13,220 3,773 28.5 28,420 4,948 17.4 5,180 975 18.8
2017² . . . . . . . . . . . . 46,340 10,050 21.7 13,160 3,903 29.7 28,230 5,216 18.5 4,942 930 18.8
2017. . . . . . . . . . . . . 46,390 9,820 21.2 13,190 3,731 28.3 28,250 5,142 18.2 4,952 948 19.1
2016. . . . . . . . . . . . . 45,680 9,965 21.8 13,190 3,916 29.7 27,830 5,186 18.6 4,660 864 18.5
2015. . . . . . . . . . . . . 45,230 10,800 23.9 13,130 4,146 31.6 27,650 5,835 21.1 4,447 816 18.4
2014. . . . . . . . . . . . . 44,570 11,580 26.0 12,880 4,639 36.0 27,440 6,137 22.4 4,249 805 19.0
2013³ . . . . . . . . . . . . 44,150 11,160 25.3 13,040 4,359 33.4 27,060 6,031 22.3 4,054 772 19.0
2013⁴ . . . . . . . . . . . . 44,110 11,960 27.1 13,100 4,838 36.9 26,920 6,410 23.8 4,085 712 17.4
2012. . . . . . . . . . . . . 43,580 11,810 27.1 13,110 4,815 36.7 26,480 6,265 23.7 3,993 730 18.3
2011. . . . . . . . . . . . . 42,650 11,730 27.5 12,970 4,849 37.4 25,960 6,241 24.0 3,718 640 17.2
2010⁵ . . . . . . . . . . . . 42,390 11,600 27.4 13,020 4,923 37.8 25,820 6,031 23.4 3,555 643 18.1
2009. . . . . . . . . . . . . 40,880 10,580 25.9 12,660 4,480 35.4 24,820 5,441 21.9 3,405 655 19.2
2008. . . . . . . . . . . . . 40,100 9,882 24.6 12,390 4,202 33.9 24,400 5,017 20.6 3,305 663 20.0
2007. . . . . . . . . . . . . 39,560 9,668 24.4 12,380 4,178 33.7 23,970 4,742 19.8 3,215 748 23.3
2006. . . . . . . . . . . . . 39,010 9,447 24.2 12,380 4,086 33.0 23,510 4,652 19.8 3,128 710 22.7
2005. . . . . . . . . . . . . 38,550 9,517 24.7 12,160 4,074 33.5 23,340 4,735 20.3 3,053 708 23.2
2004⁶ . . . . . . . . . . . . 38,040 9,411 24.7 12,190 4,059 33.3 22,840 4,638 20.3 3,005 714 23.8
2003. . . . . . . . . . . . . 37,500 9,108 24.3 12,220 4,108 33.6 22,360 4,313 19.3 2,933 688 23.5
2002. . . . . . . . . . . . . 37,210 8,884 23.9 12,110 3,817 31.5 22,170 4,376 19.7 2,922 691 23.6
BLACK ALONE25
2022. . . . . . . . . . . . . 44,520 7,626 17.1 11,170 2,491 22.3 27,450 4,097 14.9 5,897 1,038 17.6
2021. . . . . . . . . . . . . 43,980 8,583 19.5 11,190 3,056 27.3 27,110 4,519 16.7 5,675 1,008 17.8
2020¹ . . . . . . . . . . . . 43,690 8,556 19.6 11,170 3,086 27.6 27,200 4,552 16.7 5,328 919 17.2
2019. . . . . . . . . . . . . 42,970 8,073 18.8 10,850 2,865 26.4 26,860 4,261 15.9 5,257 947 18.0
2018. . . . . . . . . . . . . 42,770 8,884 20.8 11,080 3,273 29.5 26,640 4,660 17.5 5,045 951 18.9
2017² . . . . . . . . . . . . 42,480 9,224 21.7 11,010 3,350 30.4 26,650 4,960 18.6 4,827 915 19.0
2017. . . . . . . . . . . . . 42,470 8,993 21.2 10,990 3,184 29.0 26,650 4,877 18.3 4,834 932 19.3
2016. . . . . . . . . . . . . 41,960 9,234 22.0 11,120 3,418 30.8 26,290 4,963 18.9 4,561 853 18.7
2015. . . . . . . . . . . . . 41,630 10,020 24.1 11,090 3,651 32.9 26,190 5,568 21.3 4,343 801 18.4
2014. . . . . . . . . . . . . 41,110 10,760 26.2 11,020 4,090 37.1 25,950 5,869 22.6 4,143 796 19.2
Footnotes available at end of table.
26 Poverty in the United States: 2022 U.S. Census Bureau
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
2013³ . . . . . . . . . . . . 40,500 10,190 25.2 11,000 3,708 33.7 25,560 5,742 22.5 3,933 736 18.7
2013⁴ . . . . . . . . . . . . 40,620 11,040 27.2 11,090 4,244 38.3 25,550 6,099 23.9 3,975 698 17.6
2012. . . . . . . . . . . . . 40,130 10,910 27.2 11,080 4,201 37.9 25,150 6,002 23.9 3,893 708 18.2
2011. . . . . . . . . . . . . 39,610 10,930 27.6 11,140 4,320 38.8 24,830 5,980 24.1 3,640 630 17.3
2010⁵ . . . . . . . . . . . . 39,280 10,750 27.4 11,170 4,355 39.0 24,670 5,775 23.4 3,443 617 17.9
2009. . . . . . . . . . . . . 38,560 9,944 25.8 11,280 4,033 35.7 23,950 5,264 22.0 3,320 647 19.5
2008. . . . . . . . . . . . . 37,970 9,379 24.7 11,170 3,878 34.7 23,570 4,855 20.6 3,229 646 20.0
2007. . . . . . . . . . . . . 37,670 9,237 24.5 11,300 3,904 34.5 23,210 4,602 19.8 3,150 731 23.2
2006. . . . . . . . . . . . . 37,310 9,048 24.3 11,320 3,777 33.4 22,910 4,570 19.9 3,085 701 22.7
2005. . . . . . . . . . . . . 36,800 9,168 24.9 11,140 3,841 34.5 22,660 4,627 20.4 3,007 701 23.3
2004⁶ . . . . . . . . . . . . 36,430 9,014 24.7 11,240 3,788 33.7 22,230 4,521 20.3 2,956 705 23.8
2003. . . . . . . . . . . . . 35,990 8,781 24.4 11,370 3,877 34.1 21,750 4,224 19.4 2,876 680 23.7
2002. . . . . . . . . . . . . 35,680 8,602 24.1 11,280 3,645 32.3 21,550 4,277 19.9 2,856 680 23.8
BLACK24
2001. . . . . . . . . . . . . 35,870 8,136 22.7 11,560 3,492 30.2 21,460 4,018 18.7 2,853 626 21.9
2000⁷ . . . . . . . . . . . . 35,430 7,982 22.5 11,480 3,581 31.2 21,160 3,794 17.9 2,785 607 21.8
1999⁸ . . . . . . . . . . . . 35,760 8,441 23.6 11,490 3,813 33.2 21,520 4,000 18.6 2,750 628 22.8
1998. . . . . . . . . . . . . 34,880 9,091 26.1 11,320 4,151 36.7 20,840 4,222 20.3 2,723 718 26.4
1997. . . . . . . . . . . . . 34,460 9,116 26.5 11,370 4,225 37.2 20,400 4,191 20.5 2,691 700 26.0
1996. . . . . . . . . . . . . 34,110 9,694 28.4 11,340 4,519 39.9 20,160 4,515 22.4 2,616 661 25.3
1995⁹ . . . . . . . . . . . . 33,740 9,872 29.3 11,370 4,761 41.9 19,890 4,483 22.5 2,478 629 25.4
199410. . . . . . . . . . . . 33,350 10,200 30.6 11,210 4,906 43.8 19,590 4,590 23.4 2,557 700 27.4
199311. . . . . . . . . . . . 32,910 10,880 33.1 11,130 5,125 46.1 19,270 5,049 26.2 2,510 702 28.0
199212. . . . . . . . . . . . 32,410 10,830 33.4 10,960 5,106 46.6 18,950 4,884 25.8 2,504 838 33.5
199113. . . . . . . . . . . . 31,310 10,240 32.7 10,350 4,755 45.9 18,360 4,607 25.1 2,606 880 33.8
1990. . . . . . . . . . . . . 30,810 9,837 31.9 10,160 4,550 44.8 18,100 4,427 24.5 2,547 860 33.8
1989. . . . . . . . . . . . . 30,330 9,302 30.7 10,010 4,375 43.7 17,830 4,164 23.3 2,487 763 30.7
198814. . . . . . . . . . . . 29,850 9,356 31.3 9,865 4,296 43.5 17,550 4,275 24.4 2,436 785 32.2
198714. . . . . . . . . . . . 29,360 9,520 32.4 9,730 4,385 45.1 17,250 4,361 25.3 2,387 774 32.4
1986. . . . . . . . . . . . . 28,870 8,983 31.1 9,629 4,148 43.1 16,910 4,113 24.3 2,331 722 31.0
198515. . . . . . . . . . . . 28,490 8,926 31.3 9,545 4,157 43.6 16,670 4,052 24.3 2,273 717 31.5
198416. . . . . . . . . . . . 28,090 9,490 33.8 9,480 4,413 46.6 16,370 4,368 26.7 2,238 710 31.7
1983. . . . . . . . . . . . . 27,680 9,882 35.7 9,417 4,398 46.7 16,070 4,694 29.2 2,197 791 36.0
1982. . . . . . . . . . . . . 27,220 9,697 35.6 9,400 4,472 47.6 15,690 4,415 28.1 2,124 811 38.2
198117. . . . . . . . . . . . 26,830 9,173 34.2 9,374 4,237 45.2 15,360 4,117 26.8 2,102 820 39.0
1980. . . . . . . . . . . . . 26,410 8,579 32.5 9,368 3,961 42.3 14,990 3,835 25.6 2,054 783 38.1
197918. . . . . . . . . . . . 25,940 8,050 31.0 9,307 3,833 41.2 14,600 3,478 23.8 2,040 740 36.2
1978. . . . . . . . . . . . . 24,960 7,625 30.6 9,229 3,830 41.5 13,770 3,133 22.7 1,954 662 33.9
1977. . . . . . . . . . . . . 24,710 7,726 31.3 9,296 3,888 41.8 13,480 3,137 23.3 1,930 701 36.3
1976. . . . . . . . . . . . . 24,400 7,595 31.1 9,322 3,787 40.6 13,220 3,163 23.9 1,852 644 34.8
1975. . . . . . . . . . . . . 24,090 7,545 31.3 9,421 3,925 41.7 12,870 2,968 23.1 1,795 652 36.3
197419. . . . . . . . . . . . 23,700 7,182 30.3 9,439 3,755 39.8 12,540 2,836 22.6 1,721 591 34.3
1973. . . . . . . . . . . . . 23,510 7,388 31.4 N N N N N N 1,672 620 37.1
197220. . . . . . . . . . . . 23,140 7,710 33.3 N N N N N N 1,603 640 39.9
197121. . . . . . . . . . . . 22,780 7,396 32.5 N N N N N N 1,584 623 39.3
1970. . . . . . . . . . . . . 22,520 7,548 33.5 N N N N N N 1,422 683 48.0
1969. . . . . . . . . . . . . 22,010 7,095 32.2 N N N N N N 1,373 689 50.2
1968. . . . . . . . . . . . . 21,940 7,616 34.7 N N N N N N 1,374 655 47.7
196722. . . . . . . . . . . . 21,590 8,486 39.3 N N N N N N 1,341 715 53.3
1966. . . . . . . . . . . . . 21,210 8,867 41.8 N N N N N N 1,311 722 55.1
1965. . . . . . . . . . . . . N N N N N N N N N N 711 62.5
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 27
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
ASIAN ALONE
OR IN
COMBINATION
2022. . . . . . . . . . . . . 24,310 2,002 8.2 5,678 441 7.8 15,510 1,164 7.5 3,127 398 12.7
2021. . . . . . . . . . . . . 23,450 2,112 9.0 5,612 452 8.1 14,830 1,257 8.5 3,011 403 13.4
2020¹ . . . . . . . . . . . . 22,920 1,827 8.0 5,565 445 8.0 14,610 1,071 7.3 2,747 311 11.3
2019. . . . . . . . . . . . . 22,440 1,588 7.1 5,234 329 6.3 14,480 1,007 7.0 2,724 252 9.3
2018. . . . . . . . . . . . . 22,050 2,166 9.8 5,158 538 10.4 14,350 1,334 9.3 2,539 294 11.6
2017² . . . . . . . . . . . . 21,560 2,063 9.6 5,170 524 10.1 13,990 1,259 9.0 2,392 280 11.7
2017. . . . . . . . . . . . . 21,510 2,104 9.8 5,133 537 10.5 13,970 1,303 9.3 2,408 263 10.9
2016. . . . . . . . . . . . . 20,760 2,062 9.9 4,922 495 10.1 13,580 1,301 9.6 2,253 266 11.8
2015. . . . . . . . . . . . . 20,040 2,234 11.1 4,728 539 11.4 13,130 1,443 11.0 2,176 252 11.6
2014. . . . . . . . . . . . . 19,690 2,268 11.5 4,792 577 12.0 12,830 1,390 10.8 2,059 301 14.6
2013³ . . . . . . . . . . . . 19,180 2,398 12.5 4,900 628 12.8 12,390 1,457 11.8 1,889 312 16.5
2013⁴ . . . . . . . . . . . . 19,020 1,974 10.4 4,740 457 9.6 12,370 1,258 10.2 1,910 259 13.6
2012. . . . . . . . . . . . . 18,170 2,072 11.4 4,557 570 12.5 11,910 1,291 10.8 1,703 211 12.4
2011. . . . . . . . . . . . . 17,810 2,189 12.3 4,572 607 13.3 11,660 1,397 12.0 1,581 185 11.7
2010⁵ . . . . . . . . . . . . 17,240 2,064 12.0 4,308 586 13.6 11,410 1,265 11.1 1,515 214 14.1
2009. . . . . . . . . . . . . 15,270 1,901 12.4 3,996 531 13.3 9,898 1,154 11.7 1,378 216 15.7
2008. . . . . . . . . . . . . 14,540 1,686 11.6 3,717 494 13.3 9,507 1,031 10.8 1,319 162 12.3
2007. . . . . . . . . . . . . 14,430 1,467 10.2 3,606 431 11.9 9,531 892 9.4 1,293 144 11.2
2006. . . . . . . . . . . . . 14,330 1,447 10.1 3,573 408 11.4 9,553 897 9.4 1,205 142 11.8
2005. . . . . . . . . . . . . 13,730 1,501 10.9 3,472 359 10.3 9,115 999 11.0 1,144 144 12.6
2004⁶ . . . . . . . . . . . . 13,290 1,295 9.7 3,406 329 9.7 8,780 819 9.3 1,104 147 13.3
2003. . . . . . . . . . . . . 12,890 1,527 11.8 3,316 420 12.7 8,510 956 11.2 1,065 152 14.2
2002. . . . . . . . . . . . . 12,490 1,243 10.0 3,199 353 11.0 8,292 804 9.7 995 86 8.7
ASIAN ALONE26
2022. . . . . . . . . . . . . 21,590 1,866 8.6 4,267 377 8.8 14,290 1,097 7.7 3,034 392 12.9
2021. . . . . . . . . . . . . 20,680 1,922 9.3 4,199 371 8.8 13,580 1,167 8.6 2,900 385 13.3
2020¹ . . . . . . . . . . . . 20,350 1,645 8.1 4,284 358 8.4 13,420 985 7.3 2,646 302 11.4
2019. . . . . . . . . . . . . 19,930 1,464 7.3 3,916 286 7.3 13,370 932 7.0 2,638 246 9.3
2018. . . . . . . . . . . . . 19,770 1,996 10.1 3,998 453 11.3 13,290 1,254 9.4 2,479 289 11.7
2017² . . . . . . . . . . . . 19,530 1,891 9.7 4,058 420 10.4 13,120 1,193 9.1 2,348 277 11.8
2017. . . . . . . . . . . . . 19,480 1,953 10.0 4,019 455 11.3 13,100 1,244 9.5 2,358 255 10.8
2016. . . . . . . . . . . . . 18,880 1,908 10.1 3,875 430 11.1 12,800 1,217 9.5 2,209 261 11.8
2015. . . . . . . . . . . . . 18,240 2,078 11.4 3,786 466 12.3 12,330 1,360 11.0 2,130 252 11.8
2014. . . . . . . . . . . . . 17,790 2,137 12.0 3,750 524 14.0 12,010 1,314 10.9 2,029 299 14.7
2013³ . . . . . . . . . . . . 17,260 2,255 13.1 3,766 555 14.7 11,650 1,393 12.0 1,845 307 16.7
2013⁴ . . . . . . . . . . . . 17,060 1,785 10.5 3,651 367 10.1 11,530 1,162 10.1 1,881 256 13.6
2012. . . . . . . . . . . . . 16,420 1,921 11.7 3,596 497 13.8 11,150 1,220 10.9 1,669 205 12.3
2011. . . . . . . . . . . . . 16,090 1,973 12.3 3,657 494 13.5 10,870 1,297 11.9 1,555 182 11.7
2010⁵ . . . . . . . . . . . . 15,610 1,899 12.2 3,431 494 14.4 10,700 1,191 11.1 1,484 214 14.4
2009. . . . . . . . . . . . . 14,010 1,746 12.5 3,311 463 14.0 9,344 1,069 11.4 1,350 213 15.8
2008. . . . . . . . . . . . . 13,310 1,576 11.8 3,052 446 14.6 8,961 974 10.9 1,296 157 12.1
2007. . . . . . . . . . . . . 13,260 1,349 10.2 2,980 374 12.5 9,012 832 9.2 1,265 143 11.3
2006. . . . . . . . . . . . . 13,180 1,353 10.3 2,956 360 12.2 9,039 851 9.4 1,182 142 12.0
2005. . . . . . . . . . . . . 12,580 1,402 11.1 2,871 317 11.1 8,591 941 11.0 1,118 143 12.8
2004⁶ . . . . . . . . . . . . 12,230 1,201 9.8 2,854 281 9.9 8,294 774 9.3 1,083 146 13.5
2003. . . . . . . . . . . . . 11,860 1,401 11.8 2,759 344 12.5 8,044 907 11.3 1,052 151 14.3
2002. . . . . . . . . . . . . 11,540 1,161 10.1 2,683 315 11.7 7,881 764 9.7 977 82 8.4
Footnotes available at end of table.
28 Poverty in the United States: 2022 U.S. Census Bureau
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
ASIAN AND
PACIFIC
ISLANDER24
2001. . . . . . . . . . . . . 12,470 1,275 10.2 3,215 369 11.5 8,352 814 9.7 899 92 10.2
2000⁷ . . . . . . . . . . . . 12,670 1,258 9.9 3,294 420 12.7 8,500 756 8.9 878 82 9.3
1999⁸ . . . . . . . . . . . . 11,960 1,285 10.7 3,212 381 11.9 7,879 807 10.2 864 96 11.1
1998. . . . . . . . . . . . . 10,870 1,360 12.5 3,137 564 18.0 6,951 698 10.0 785 97 12.4
1997. . . . . . . . . . . . . 10,480 1,468 14.0 3,096 628 20.3 6,680 753 11.3 705 87 12.3
1996. . . . . . . . . . . . . 10,050 1,454 14.5 2,924 571 19.5 6,484 821 12.7 647 63 9.7
1995⁹ . . . . . . . . . . . . 9,644 1,411 14.6 2,900 564 19.5 6,123 757 12.4 622 89 14.3
199410. . . . . . . . . . . . 6,654 974 14.6 1,739 318 18.3 4,401 589 13.4 513 67 13.0
199311. . . . . . . . . . . . 7,434 1,134 15.3 2,061 375 18.2 4,871 680 14.0 503 79 15.6
199212. . . . . . . . . . . . 7,779 985 12.7 2,218 363 16.4 5,067 568 11.2 494 53 10.8
199113. . . . . . . . . . . . 7,192 996 13.8 2,056 360 17.5 4,582 565 12.3 555 70 12.7
1990. . . . . . . . . . . . . 7,014 858 12.2 2,126 374 17.6 4,375 422 9.6 514 62 12.1
1989. . . . . . . . . . . . . 6,673 939 14.1 1,983 392 19.8 4,225 512 12.1 465 34 7.4
198814. . . . . . . . . . . . 6,447 1,117 17.3 1,970 474 24.1 4,035 583 14.4 442 60 13.5
198714. . . . . . . . . . . . 6,322 1,021 16.1 1,937 455 23.5 4,010 510 12.7 375 56 15.0
AMERICAN
INDIAN AND
ALASKA NATIVE
ALONE OR IN
COMBINATION
2022. . . . . . . . . . . . . 7,099 1,423 20.0 2,068 551 26.6 4,224 770 18.2 808 102 12.6
2021. . . . . . . . . . . . . 7,066 1,550 21.9 2,148 570 26.6 4,111 847 20.6 807 133 16.5
2020¹ . . . . . . . . . . . . 6,758 1,111 16.4 1,976 411 20.8 4,079 615 15.1 703 85 12.1
2019. . . . . . . . . . . . . 6,541 1,062 16.2 1,896 343 18.1 3,926 611 15.6 719 107 14.9
2018. . . . . . . . . . . . . 6,816 1,335 19.6 2,023 497 24.6 4,072 721 17.7 721 117 16.2
2017² . . . . . . . . . . . . 6,914 1,401 20.3 2,016 549 27.2 4,193 743 17.7 706 110 15.6
2017. . . . . . . . . . . . . 6,914 1,356 19.6 2,002 521 26.0 4,210 730 17.3 702 105 14.9
2016. . . . . . . . . . . . . 6,836 1,387 20.3 2,067 518 25.1 4,090 757 18.5 679 113 16.6
2015. . . . . . . . . . . . . 7,111 1,507 21.2 2,194 620 28.3 4,281 790 18.5 636 97 15.3
2014. . . . . . . . . . . . . 6,679 1,526 22.8 2,138 620 29.0 3,937 823 20.9 604 83 13.7
2013³ . . . . . . . . . . . . 5,831 1,372 23.5 1,793 525 29.3 3,518 727 20.7 519 121 23.2
2013⁴ . . . . . . . . . . . . 6,368 1,490 23.4 1,971 599 30.4 3,841 821 21.4 556 69 12.5
2012. . . . . . . . . . . . . 6,284 1,759 28.0 1,924 712 37.0 3,831 961 25.1 529 86 16.3
2011. . . . . . . . . . . . . 6,224 1,515 24.3 1,967 615 31.3 3,808 845 22.2 450 55 12.2
2010⁵ . . . . . . . . . . . . 6,073 1,552 25.6 2,023 690 34.1 3,617 793 21.9 434 69 15.9
2009. . . . . . . . . . . . . 5,244 1,218 23.2 1,637 505 30.9 3,198 659 20.6 409 53 12.9
2008. . . . . . . . . . . . . 5,471 1,211 22.1 1,747 491 28.1 3,281 652 19.9 443 67 15.2
2007. . . . . . . . . . . . . 5,292 1,076 20.3 1,566 357 22.8 3,286 635 19.3 440 84 19.0
2006. . . . . . . . . . . . . 5,133 1,148 22.4 1,538 446 29.0 3,173 632 19.9 422 71 16.8
2005. . . . . . . . . . . . . 5,233 1,093 20.9 1,603 404 25.2 3,230 637 19.7 401 53 13.2
2004⁶ . . . . . . . . . . . . 5,269 1,027 19.5 1,560 371 23.8 3,319 597 18.0 391 59 15.0
2003. . . . . . . . . . . . . 5,061 940 18.6 1,625 384 23.6 3,087 508 16.4 349 48 13.8
2002. . . . . . . . . . . . . 4,844 952 19.6 1,615 405 25.1 2,907 482 16.6 321 64 20.0
AMERICAN
INDIAN AND
ALASKA NATIVE
ALONE27
2022. . . . . . . . . . . . . 3,983 995 25.0 1,041 387 37.1 2,509 544 21.7 433 65 14.9
2021. . . . . . . . . . . . . 4,109 998 24.3 1,154 341 29.6 2,539 574 22.6 415 82 19.7
2020¹ . . . . . . . . . . . . 3,950 791 20.0 1,098 278 25.4 2,466 454 18.4 386 59 15.3
2019. . . . . . . . . . . . . 3,735 677 18.1 1,036 223 21.5 2,301 369 16.1 398 85 21.3
2018. . . . . . . . . . . . . 3,663 808 22.1 986 278 28.2 2,325 465 20.0 351 66 18.7
2017² . . . . . . . . . . . . 3,616 790 21.8 959 278 29.0 2,323 455 19.6 335 57 17.1
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 29
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
2017. . . . . . . . . . . . . 3,619 750 20.7 948 253 26.7 2,335 438 18.8 336 58 17.3
2016. . . . . . . . . . . . . 3,701 811 21.9 1,042 265 25.5 2,326 475 20.4 333 71 21.2
2015. . . . . . . . . . . . . 4,269 995 23.3 1,298 399 30.8 2,649 536 20.3 323 59 18.4
2014. . . . . . . . . . . . . 3,808 1,013 26.6 1,175 415 35.3 2,317 540 23.3 315 58 18.3
2013³ . . . . . . . . . . . . 3,074 837 27.2 958 295 30.8 1,868 468 25.0 249 75 30.0
2013⁴ . . . . . . . . . . . . 3,344 914 27.3 964 337 34.9 2,114 549 25.9 266 29 10.7
2012. . . . . . . . . . . . . 3,459 1,184 34.2 1,048 473 45.1 2,135 651 30.5 276 60 21.7
2011. . . . . . . . . . . . . 3,210 917 28.6 943 360 38.2 2,060 530 25.7 207 27 13.0
2010⁵ . . . . . . . . . . . . 3,076 886 28.8 938 367 39.1 1,964 492 25.0 174 28 15.9
2009. . . . . . . . . . . . . 2,671 732 27.4 813 286 35.1 1,689 413 24.4 169 34 20.0
2008. . . . . . . . . . . . . 2,845 770 27.1 887 328 37.0 1,770 408 23.1 188 34 18.0
2007. . . . . . . . . . . . . 2,742 649 23.7 790 207 26.2 1,743 393 22.6 209 49 23.3
2006. . . . . . . . . . . . . 2,536 744 29.3 734 285 38.8 1,637 413 25.2 166 47 28.2
2005. . . . . . . . . . . . . 2,238 603 26.9 675 219 32.5 1,426 357 25.1 137 26 18.9
2004⁶ . . . . . . . . . . . . 2,319 584 25.2 685 207 30.2 1,478 350 23.7 156 28 17.8
2003. . . . . . . . . . . . . 2,240 532 23.8 725 218 30.0 1,385 290 20.9 131 25 19.1
2002. . . . . . . . . . . . . 2,273 547 24.1 764 250 32.8 1,385 268 19.3 125 29 23.6
AMERICAN
INDIAN AND
ALASKA
NATIVE24
2001. . . . . . . . . . . . . 3,463 757 21.9 1,161 344 29.6 2,075 374 18.0 227 40 17.4
2000⁷ . . . . . . . . . . . . 3,001 696 23.2 988 279 28.2 1,813 367 20.2 199 50 25.1
1999⁸ . . . . . . . . . . . . 3,135 897 28.6 1,152 448 38.9 1,774 397 22.4 210 52 24.7
1998. . . . . . . . . . . . . 2,472 571 23.1 867 308 35.5 1,478 247 16.7 127 16 12.7
1997. . . . . . . . . . . . . 2,340 594 25.4 741 270 36.4 1,466 303 20.7 133 21 15.7
1996. . . . . . . . . . . . . 2,399 731 30.5 782 330 42.2 1,466 364 24.9 150 37 24.5
1995⁹ . . . . . . . . . . . . 2,321 718 31.0 853 358 42.0 1,344 331 24.6 124 29 23.3
199410. . . . . . . . . . . . 1,482 392 26.4 448 165 36.9 940 209 22.2 95 18 18.6
199311. . . . . . . . . . . . 1,690 399 23.6 514 172 33.5 1,064 208 19.6 111 19 17.3
199212. . . . . . . . . . . . 2,054 600 29.2 648 245 37.8 1,275 319 25.0 130 36 27.9
199113. . . . . . . . . . . . 1,793 562 31.3 670 292 43.5 1,015 245 24.1 108 26 23.7
1990. . . . . . . . . . . . . 1,560 444 28.5 563 211 37.4 892 210 23.5 104 23 22.1
1989. . . . . . . . . . . . . 1,445 345 23.9 507 161 31.8 839 160 19.0 100 24 24.2
198814. . . . . . . . . . . . 1,454 440 30.2 500 198 39.5 843 210 24.9 110 32 28.7
198714. . . . . . . . . . . . 1,345 387 28.8 488 178 36.6 747 185 24.8 110 23 21.3
TWO OR MORE
RACES24
2022. . . . . . . . . . . . . 9,674 1,180 12.2 4,501 611 13.6 4,564 496 10.9 609 73 12.0
2021. . . . . . . . . . . . . 9,166 1,298 14.2 4,349 673 15.5 4,230 541 12.8 587 83 14.2
2020¹ . . . . . . . . . . . . 9,220 1,209 13.1 4,293 690 16.1 4,424 471 10.6 503 48 9.6
2019. . . . . . . . . . . . . 8,920 1,135 12.7 4,084 595 14.6 4,330 501 11.6 506 38 7.6
2018. . . . . . . . . . . . . 8,793 1,381 15.7 4,126 763 18.5 4,159 552 13.3 508 65 12.8
2017² . . . . . . . . . . . . 8,423 1,441 17.1 3,981 835 21.0 3,975 546 13.7 467 60 12.9
2017. . . . . . . . . . . . . 8,475 1,408 16.6 4,011 808 20.2 3,995 541 13.5 469 59 12.7
2016. . . . . . . . . . . . . 8,094 1,312 16.2 3,879 736 19.0 3,764 521 13.8 451 55 12.3
2015. . . . . . . . . . . . . 7,622 1,323 17.4 3,658 736 20.1 3,556 543 15.3 408 44 10.8
2014. . . . . . . . . . . . . 7,473 1,352 18.1 3,580 748 20.9 3,521 573 16.3 372 32 8.6
2013³ . . . . . . . . . . . . 7,739 1,562 20.2 3,775 900 23.9 3,564 584 16.4 400 78 19.5
2013⁴ . . . . . . . . . . . . 7,731 1,450 18.8 3,789 832 22.0 3,550 569 16.0 392 49 12.4
2012. . . . . . . . . . . . . 7,349 1,462 19.9 3,598 843 23.4 3,404 571 16.8 347 48 13.8
2011. . . . . . . . . . . . . 7,166 1,443 20.1 3,482 806 23.1 3,361 601 17.9 323 36 11.1
2010⁵ . . . . . . . . . . . . 7,172 1,507 21.0 3,534 888 25.1 3,285 560 17.0 353 59 16.8
2009. . . . . . . . . . . . . 5,715 1,168 20.4 2,700 683 25.3 2,699 456 16.9 316 29 9.1
2008. . . . . . . . . . . . . 5,502 941 17.1 2,570 488 19.0 2,625 409 15.6 307 44 14.3
2007. . . . . . . . . . . . . 5,172 845 16.3 2,321 423 18.2 2,567 383 14.9 284 40 13.9
Footnotes available at end of table.
30 Poverty in the United States: 2022 U.S. Census Bureau
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
2006. . . . . . . . . . . . . 5,103 811 15.9 2,333 465 19.9 2,475 316 12.8 295 30 10.2
2005. . . . . . . . . . . . . 5,472 839 15.3 2,395 421 17.6 2,773 390 14.1 305 29 9.4
2004⁶ . . . . . . . . . . . . 5,298 847 16.0 2,272 436 19.2 2,752 374 13.6 274 37 13.4
2003. . . . . . . . . . . . . 5,053 771 15.2 2,192 414 18.9 2,609 330 12.7 252 26 10.4
2002. . . . . . . . . . . . . 4,670 686 14.7 2,085 339 16.3 2,346 308 13.1 238 39 16.4
HISPANIC
(ANY RACE)28
2022. . . . . . . . . . . . . 63,800 10,780 16.9 18,680 4,057 21.7 39,680 5,804 14.6 5,426 915 16.9
2021. . . . . . . . . . . . . 62,480 10,690 17.1 18,650 4,168 22.4 38,620 5,547 14.4 5,213 975 18.7
2020¹ . . . . . . . . . . . . 61,770 10,520 17.0 18,770 4,338 23.1 38,090 5,369 14.1 4,906 813 16.6
2019. . . . . . . . . . . . . 60,600 9,545 15.7 18,610 3,888 20.9 37,210 4,836 13.0 4,787 821 17.1
2018. . . . . . . . . . . . . 59,960 10,530 17.6 18,740 4,436 23.7 36,670 5,205 14.2 4,544 884 19.5
2017² . . . . . . . . . . . . 59,050 10,820 18.3 18,600 4,643 25.0 36,140 5,446 15.1 4,320 726 16.8
2017. . . . . . . . . . . . . 59,050 10,790 18.3 18,580 4,639 25.0 36,160 5,415 15.0 4,322 736 17.0
2016. . . . . . . . . . . . . 57,560 11,140 19.4 18,390 4,890 26.6 35,110 5,542 15.8 4,057 706 17.4
2015. . . . . . . . . . . . . 56,780 12,130 21.4 18,230 5,269 28.9 34,690 6,188 17.8 3,863 676 17.5
2014. . . . . . . . . . . . . 55,500 13,100 23.6 18,000 5,745 31.9 33,870 6,701 19.8 3,636 658 18.1
2013³ . . . . . . . . . . . . 54,180 13,360 24.7 17,900 5,907 33.0 32,840 6,746 20.5 3,443 704 20.4
2013⁴ . . . . . . . . . . . . 54,150 12,740 23.5 17,840 5,415 30.4 32,900 6,654 20.2 3,405 676 19.8
2012. . . . . . . . . . . . . 53,110 13,620 25.6 17,660 5,976 33.8 32,230 6,977 21.6 3,213 663 20.6
2011. . . . . . . . . . . . . 52,280 13,240 25.3 17,600 6,008 34.1 31,640 6,667 21.1 3,036 569 18.7
2010⁵ . . . . . . . . . . . . 50,970 13,520 26.5 17,370 6,059 34.9 30,740 6,948 22.6 2,860 516 18.0
2009. . . . . . . . . . . . . 48,810 12,350 25.3 16,970 5,610 33.1 29,030 6,224 21.4 2,815 516 18.3
2008. . . . . . . . . . . . . 47,400 10,990 23.2 16,370 5,010 30.6 28,310 5,452 19.3 2,717 525 19.3
2007. . . . . . . . . . . . . 45,930 9,890 21.5 15,650 4,482 28.6 27,730 4,970 17.9 2,555 438 17.1
2006. . . . . . . . . . . . . 44,780 9,243 20.6 15,150 4,072 26.9 27,210 4,698 17.3 2,428 472 19.4
2005. . . . . . . . . . . . . 43,020 9,368 21.8 14,650 4,143 28.3 26,050 4,765 18.3 2,315 460 19.9
2004⁶ . . . . . . . . . . . . 41,690 9,122 21.9 14,170 4,098 28.9 25,320 4,620 18.2 2,194 403 18.4
2003. . . . . . . . . . . . . 40,300 9,051 22.5 13,730 4,077 29.7 24,490 4,568 18.7 2,080 406 19.5
2002. . . . . . . . . . . . . 39,220 8,555 21.8 13,210 3,782 28.6 23,950 4,334 18.1 2,053 439 21.4
2001. . . . . . . . . . . . . 37,310 7,997 21.4 12,760 3,570 28.0 22,650 4,014 17.7 1,896 413 21.8
2000⁷ . . . . . . . . . . . . 35,960 7,747 21.5 12,400 3,522 28.4 21,730 3,844 17.7 1,822 381 20.9
1999⁸ . . . . . . . . . . . . 34,630 7,876 22.7 12,190 3,693 30.3 20,780 3,843 18.5 1,661 340 20.5
1998. . . . . . . . . . . . . 31,520 8,070 25.6 11,150 3,837 34.4 18,670 3,877 20.8 1,696 356 21.0
1997. . . . . . . . . . . . . 30,640 8,308 27.1 10,800 3,972 36.8 18,220 3,951 21.7 1,617 384 23.8
1996. . . . . . . . . . . . . 29,610 8,697 29.4 10,510 4,237 40.3 17,590 4,089 23.3 1,516 370 24.4
1995⁹ . . . . . . . . . . . . 28,340 8,574 30.3 10,210 4,080 40.0 16,670 4,153 24.9 1,458 342 23.5
199410. . . . . . . . . . . . 27,440 8,416 30.7 9,822 4,075 41.5 16,190 4,018 24.8 1,428 323 22.6
199311. . . . . . . . . . . . 26,560 8,126 30.6 9,462 3,873 40.9 15,710 3,956 25.2 1,390 297 21.4
199212. . . . . . . . . . . . 25,650 7,592 29.6 9,081 3,637 40.0 15,270 3,668 24.0 1,298 287 22.1
199113. . . . . . . . . . . . 22,070 6,339 28.7 7,648 3,094 40.4 13,280 3,008 22.7 1,143 237 20.8
1990. . . . . . . . . . . . . 21,410 6,006 28.1 7,457 2,865 38.4 12,860 2,896 22.5 1,091 245 22.5
1989. . . . . . . . . . . . . 20,750 5,430 26.2 7,186 2,603 36.2 12,540 2,616 20.9 1,024 211 20.6
198814. . . . . . . . . . . . 20,060 5,357 26.7 7,003 2,631 37.6 12,060 2,501 20.7 1,005 225 22.4
198714. . . . . . . . . . . . 19,400 5,422 28.0 6,792 2,670 39.3 11,720 2,509 21.4 885 243 27.5
1986. . . . . . . . . . . . . 18,760 5,117 27.3 6,646 2,507 37.7 11,210 2,406 21.5 906 204 22.5
198515. . . . . . . . . . . . 18,080 5,236 29.0 6,475 2,606 40.3 10,690 2,411 22.6 915 219 23.9
198416. . . . . . . . . . . . 16,920 4,806 28.4 6,068 2,376 39.2 10,030 2,254 22.5 819 176 21.5
1983. . . . . . . . . . . . . 16,540 4,633 28.0 6,066 2,312 38.1 9,697 2,148 22.5 782 173 22.1
1982. . . . . . . . . . . . . 14,390 4,301 29.9 5,527 2,181 39.5 8,262 1,963 23.8 596 159 26.6
198117. . . . . . . . . . . . 14,020 3,713 26.5 5,369 1,925 35.9 8,084 1,642 20.3 568 146 25.7
1980. . . . . . . . . . . . . 13,600 3,491 25.7 5,276 1,749 33.2 7,740 1,563 20.2 582 179 30.8
197918. . . . . . . . . . . . 13,370 2,921 21.8 5,483 1,535 28.0 7,314 1,232 16.8 574 154 26.8
1978. . . . . . . . . . . . . 12,080 2,607 21.6 5,012 1,384 27.6 6,527 1,098 16.8 539 125 23.2
1977. . . . . . . . . . . . . 12,050 2,700 22.4 5,028 1,422 28.3 6,500 1,164 17.9 518 113 21.9
1976. . . . . . . . . . . . . 11,270 2,783 24.7 4,771 1,443 30.2 6,034 1,212 20.1 464 128 27.7
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 31
Table A-3.
Poverty Status of People by Age, Race, and Hispanic Origin: 1959 to 2022—Con.
(Populations in thousands. Population as of March of the following year. Information on confidentiality protection, sampling
error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.
pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Race, Hispanic
Below poverty Below poverty Below poverty Below poverty
origin, and year
Total Number Percent Total Number Percent Total Number Percent Total Number Percent
1975. . . . . . . . . . . . . 11,120 2,991 26.9 N N N N N N N 137 32.6
1974 . . . . . . . . . . . . 11,200
19
2,575 23.0 N N N N N N N 117 28.9
1973. . . . . . . . . . . . . 10,800 2,366 21.9 N N N N N N N 95 24.9
N Not available.
¹ Implementation of 2020 Census-based population controls.
² Estimates reflect the implementation of an updated processing system and should be used to make comparisons to 2018 and subsequent
years.
³ The 2014 CPS ASEC included redesigned questions for income and health insurance coverage. All of the approximately 98,000 addresses
were eligible to receive the redesigned set of health insurance coverage questions. The redesigned income questions were implemented to a sub-
sample of the 98,000 addresses using a probability split panel design. Approximately 68,000 addresses were eligible to receive a set of income
questions similar to those used in the 2013 CPS ASEC, and the remaining 30,000 addresses were eligible to receive the redesigned income ques-
tions. The source of these 2013 estimates is the portion of the CPS ASEC sample that received the redesigned income questions, approximately
30,000 addresses.
⁴ The source of these 2013 estimates is the portion of the CPS ASEC sample that received the income questions consistent with the 2013 CPS
ASEC, approximately 68,000 addresses.
⁵ Implementation of 2010 Census-based population controls.
⁶ Data have been revised to reflect a correction to the weights in the 2005 CPS ASEC.
⁷ Implementation of a 28,000-household sample expansion.
⁸ Implementation of 2000 Census-based population controls.
⁹ Full implementation of 1990 Census-based sample design and metropolitan definitions, 7,000-household sample reduction, and revised edit-
ing of responses on race.
10
Introduction of 1990 Census-based sample design.
11
Data collection method changed from paper and pencil to computer-assisted interviewing. In addition, the 1994 CPS ASEC was revised to
allow for the coding of different income amounts on selected questionnaire items. Limits either increased or decreased in the following catego-
ries: earnings limits increased to $999,999; Social Security limits increased to $49,999; Supplemental Security Income and public assistance limits
increased to $24,999; veterans’ benefits limits increased to $99,999; child support and alimony limits decreased to $49,999.
12
Implementation of 1990 Census-based population controls.
13
Estimates are revised to correct for nine omitted weights from the original 1992 CPS ASEC. More information is available in “Money Income
of Households, Families, and Persons in the United States: 1992,” P60-184.
14
Estimates reflect the implementation of a new CPS ASEC processing system and are also revised to reflect corrections to the files after
publication of the 1988 advance report “Money Income and Poverty Status in the United States: 1988,” P60-166.
15
Full implementation of 1980 Census-based sample design.
16
Implementation of Hispanic population weighting controls and introduction of 1980 Census-based sample design.
17
Implemented three technical changes to the poverty definition. More information is available in “Characteristics of the Population Below the
Poverty Level: 1980,” P60-133.
18
Implementation of 1980 Census-based population controls. Questionnaire expanded to show 27 possible values from 51 possible sources of
income.
19
Implementation of a new CPS ASEC processing system. Questionnaire expanded to ask 11 income questions.
20
Full implementation of 1970 Census-based sample design.
21
Introduction of 1970 Census-based sample design and population controls.
22
Implementation of a new CPS ASEC processing system.
23
Beginning with the 2003 CPS ASEC, respondents were allowed to choose one or more races. White alone refers to people who reported
White and did not report any other race category. The use of this single-race population does not imply that it is the preferred method of pre-
senting or analyzing the data. The Census Bureau uses a variety of approaches.
24
For the year 2001 and earlier, the CPS ASEC allowed respondents to report only one race group.
25
Black alone refers to people who reported Black and did not report any other race category.
26
Asian alone refers to people who reported Asian and did not report any other race category.
27
American Indian and Alaska Native alone refers to people who reported American Indian and Alaska Native and did not report any other
race category.
28
Since Hispanic individuals may be any race, data in this report for the Hispanic population overlap with data for race groups. Of those who
reported only one race, Hispanic origin was reported by 16.7 percent of White householders, 5.9 percent of Black householders, 2.7 percent of
Asian householders, and 33.4 percent of American Indian and Alaska Native householders. Data users should exercise caution when interpreting
aggregate results for the Hispanic population or for race groups because these populations consist of many distinct groups that differ in socio-
economic characteristics, culture, and nativity. Data were first collected for Hispanic individuals in 1972 and for Asian and Pacific Islander and
American Indian and Alaska Native individuals in 1987. More information is available at <www.census.gov/programs-surveys/cps.html>.
Note: Details may not sum to totals due to rounding. Estimates may differ from previous publications due to additional rounding implemented
to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 1960 to 2023 Annual Social and Economic Supplements (CPS ASEC).
32 Poverty in the United States: 2022 U.S. Census Bureau
APPENDIX B. THE SUPPLEMENTAL POVERTY MEASURE
The SPM was developed following information on these one-time 2022 school lunch methodology,
decades of research on poverty payments, refer to <www.census. refer to <www.census.gov/library/
measurement. Appendix B has gov/library/working-papers/2023/ working-papers/2023/demo/
been revised to describe yearly demo/SEHSD-WP2023-26.html>. SEHSD-WP2023-20.html>.
updates to the construction of
SPM resources and thresholds. School Lunch Methodology Internet Assistance
Details regarding the history of the The methodology for estimat- Like 2021, the 2022 estimates
SPM and the current methodology, ing values for the National School include internet assistance benefits
which were previously described Lunch Program included in SPM received through the Affordable
in Appendix B, can be found resources was adjusted in 2020 and Connectivity Program (ACP). In
at <https://www2.census.gov/ 2021 due to school closures and 2022, the monthly value of the
programs-surveys/supplemental- COVID-19 pandemic electronic ben- program decreased from $50
poverty-measure/datasets/spm/ efit transfers (P-EBT).1 The method per month of receipt to $30 per
spm_techdoc.pdf>. was updated again for 2022 to month of receipt for most states.
incorporate schools being open Maryland continued to add an
UPDATES FOR 2022
year-round (179 days) with nearly additional $15 per month to their
Updates to Resources universal free lunch during the benefit.2 The value of the benefit
spring semester, the continuation of remained at $75 per month of
Changes to Tax Code P-EBT benefits in the summer, and receipt for households in Tribal
the fact that some states extended lands in Oklahoma and Alaska
Supplemental Poverty Measure
free lunch through the 2022–2023 (not including the Oklahoma City,
(SPM) estimates for 2022 reflect
school year. The method uses the Tulsa, or Anchorage Metropolitan
changes to state and federal
U.S. Department of Agriculture’s Statistical Areas [MSAs]).3
income taxes. Temporary expan-
reimbursement rate for paid, Recipients were eligible to receive
sions to the Child Tax Credit
reduced price, and free lunches benefits for all 12 months of the
(CTC), Child and Dependent Care
together with survey responses. year, unlike the partial implementa-
Tax Credit (CDCTC), and the
Individuals in states that extended tion in 2021.
Earned Income Tax Credit (EITC)
universal free school lunch were
enacted as part of the American
given the free value for the year Updates to Thresholds
Rescue Plan Act expired at the
unless they indicated they did The 2022 SPM thresholds, pro-
end of 2021. These programs then
not receive free or reduced price duced by the Bureau of Labor
reverted to their prior-law param-
lunches. In those cases, they were Statistics (BLS), reflect updates to
eters. Additionally, no Economic
given the paid value. In states the statistical programming used
Impact Payments were distributed
that did not extend universal free to estimate in-kind benefits. The
in 2022.
school lunch, all respondents were changes include expanding the
Meanwhile, several states distrib- given the free value for the spring WIC universe to include women
uted one-time tax rebates in 2022. semester and the paid, reduced, over age 45 who have children
These were authorized for several or free value for the fall, depend- under 5; using annual monthly
purposes, including relief from the ing on their survey responses and average WIC based on fiscal
ongoing pandemic, natural disas- income-to-poverty ratio. As in year rather than rolling 3-month
ters, and high inflation, as well as previous years, to avoid double- averages; removing WIC from
constitutionally mandated refunds counting of benefits, the summer the calculation of food, clothing,
due to high state revenues. As a P-EBT benefits are only included shelter, utilities, telephone, and
result, they are included in the cal- in the school lunch value when internet (FCSUti) expenses once
culation of SPM resources. These respondents report receiving a state has fully implemented EBT
rebates are provided for data P-EBT but did not receive benefits administration of these benefits
users (STTAXREB) and included in from the Supplemental Nutritional (the same assumption is made
the calculation of state taxes and Assistance Program (SNAP). For in the thresholds for SNAP);
credits (STATETAX_A). For more more information regarding the and a revision to the method for
U.S. Census Bureau Poverty in the United States: 2022 33
assigning free and reduced price <https://nap.nationalacademies. ENDNOTES
school lunches based on pretax org/catalog/26825/an-updated- 1
Additional information can be found
money income and official poverty measure-of-poverty-redrawing- in Shrider, Em, “Alternative School Lunch
Valuation in the CPS ASEC During
thresholds. For more information the-line>. COVID-19,” U.S. Census Bureau, Washington,
on these changes, refer to <www. DC, 2021, <www.census.gov/content/dam/
The Census Bureau conducts Census/library/working-papers/2021/
bls.gov/pir/spmhome.htm>. demo/sehsd-wp2021-20.pdf>; and Shrider,
ongoing research on improve- Em, “School Lunch and P-EBT Valuation in
ments and will consider the recom- the 2021 Supplemental Poverty Measure,”
Evaluation and Improvements to U.S. Census Bureau, Washington, DC,
mendations of the CNSTAT panel
the Supplemental Poverty Measure 2022, <www.census.gov/library/working-
alongside research by external papers/2022/demo/SEHSD-wp2022-15.
In 2020, the Census Bureau and governmental experts in html>.
2
For more information on Maryland’s
commissioned the National developing a research agenda and additional Affordability Connectivity
Academies of Sciences, roadmap for improvements to the Program benefit, please refer to <https://
dhcd.maryland.gov/Broadband/Pages/
Engineering, and Medicine SPM. In considering any changes Individual-Resources.aspx>.
Committee on National Statistics that would be made to the SPM,
3
For more information on the Affordable
Connectivity Program, please refer to <www.
to convene a panel to evaluate the the Census Bureau will continue affordableconnectivity.gov/>.
Supplemental Poverty Measure to work with BLS and the current
and offer recommendations to Interagency Technical Working
improve the measure in the future. Group (ITWG) on the SPM, estab-
The expert panel produced a lished in 2016. The ITWG on the
consensus report in April 2023 SPM has an established process for
that outlined key areas of research making changes to the SPM, with
for the Census Bureau and the BLS major changes occurring only after
to work on in the coming years. a multi-year process of research
The panel’s report can be found at and public engagement.
34 Poverty in the United States: 2022 U.S. Census Bureau
Table B-1.
Two-Adult, Two-Child Poverty Thresholds: 2021 and 2022
(In nominal dollars)
Measure 2021 Standard error 2022 Standard error
Official Poverty Measure
Official poverty measure. . . . . . . . . . . . . . . . . . 27,479 N 29,678 N
Research Supplemental Poverty Measure
Owners with mortgages. . . . . . . . . . . . . . . . . . . 31,107 280 34,235 307
Owners without mortgages . . . . . . . . . . . . . . . 26,279 284 28,909 525
Renters. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,453 231 34,518 303
N Not available.
Source: The Supplemental Poverty Measure (SPM) thresholds were produced by Juan Munoz in the Division of Price and Index Number
Research, Bureau of Labor Statistics (BLS). The thresholds and standard errors are based on data from the U.S. Consumer Expenditure Survey
(CE) Interview, with all data consumer unit weighted. Standard errors of the thresholds are derived using replicate weights available in the CE
Inteview data files. Information regarding the estimation of standard errors based on CE replicate weights is available at <www.bls.gov/cex/
pumd-getting-started-guide.htm>. Thresholds and standard errors are produced for research purposes only and are not considered BLS produc-
tion quality. Methodological details and related research regarding the SPM thresholds are available at <https://stats.bls.gov/pir/spmhome.htm>.
The 2022 thresholds and related statistics were finalized as of May 11, 2023, and reflect minor changes in the estimation of in-kind benefits result-
ing from corrections in the computer code used to model these benefits. More details can be found in Appendix B. The thresholds for 2021 were
finalized as of June 1, 2022.
U.S. Census Bureau Poverty in the United States: 2022 35
Table B-2.
36 Poverty in the United States: 2022
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
ALL RACES
2022. . . . . . . . . . . . 330,600 40,900 927 12.4 0.3 72,500 8,983 371 12.4 0.5 200,200 23,730 648 11.9 0.3 57,880 8,187 288 14.1 0.5
2021. . . . . . . . . . . . 328,700 25,580 718 7.8 0.2 73,470 3,829 264 5.2 0.4 199,100 15,750 501 7.9 0.3 56,190 6,003 238 10.7 0.4
2020² . . . . . . . . . . . 328,100 30,040 777 9.2 0.2 74,030 7,196 331 9.7 0.4 199,800 17,710 533 8.9 0.3 54,280 5,135 239 9.5 0.4
2019³ . . . . . . . . . . . 325,300 38,300 876 11.8 0.3 73,150 9,253 358 12.6 0.5 197,500 22,070 603 11.2 0.3 54,640 6,975 251 12.8 0.5
2019. . . . . . . . . . . . 325,300 38,160 895 11.7 0.3 73,150 9,119 354 12.5 0.5 197,500 22,070 606 11.2 0.3 54,640 6,972 258 12.8 0.5
2018. . . . . . . . . . . . 324,400 41,420 861 12.8 0.3 73,790 10,100 381 13.7 0.5 197,800 24,150 564 12.2 0.3 52,790 7,174 250 13.6 0.5
2017⁴ . . . . . . . . . . . 323,100 42,080 1,004 13.0 0.3 74,070 10,530 394 14.2 0.5 198,000 24,580 655 12.4 0.3 51,070 6,960 276 13.6 0.5
2017. . . . . . . . . . . . 323,200 44,970 993 13.9 0.3 73,960 11,520 399 15.6 0.5 198,100 26,240 628 13.2 0.3 51,080 7,207 274 14.1 0.5
2016. . . . . . . . . . . . 320,400 44,750 810 14.0 0.3 74,050 11,280 349 15.2 0.5 197,100 26,300 571 13.3 0.3 49,270 7,168 235 14.5 0.5
2015. . . . . . . . . . . . 318,900 46,250 902 14.5 0.3 74,060 12,030 370 16.2 0.5 197,300 27,720 596 14.1 0.3 47,550 6,506 239 13.7 0.5
2014. . . . . . . . . . . . 316,200 49,240 862 15.6 0.3 73,920 12,630 359 17.1 0.5 196,300 29,980 576 15.3 0.3 45,990 6,627 224 14.4 0.5
2013⁵ . . . . . . . . . . . 313,400 49,850 1,493 15.9 0.5 73,790 13,370 642 18.1 0.9 194,700 29,470 987 15.1 0.5 44,960 7,019 390 15.6 0.9
2013⁶ . . . . . . . . . . . 313,400 48,670 1,051 15.5 0.3 74,060 12,180 388 16.4 0.5 194,800 29,990 700 15.4 0.4 44,510 6,507 271 14.6 0.6
2012. . . . . . . . . . . . 311,100 49,730 923 16.0 0.3 74,190 13,360 366 18.0 0.5 193,600 29,950 584 15.5 0.3 43,290 6,419 217 14.8 0.5
2011. . . . . . . . . . . . 308,800 49,570 902 16.1 0.3 74,110 13,350 376 18.0 0.5 193,200 29,970 578 15.5 0.3 41,510 6,247 229 15.1 0.5
2010. . . . . . . . . . . . 306,600 48,840 918 15.9 0.3 74,300 13,290 372 17.9 0.5 192,500 29,260 610 15.2 0.3 39,780 6,292 221 15.8 0.6
2009⁷ . . . . . . . . . . . 304,300 46,000 867 15.1 0.3 74,550 12,700 389 17.0 0.5 190,800 27,510 564 14.4 0.3 38,950 5,788 230 14.9 0.6
WHITE ALONE⁸
2022. . . . . . . . . . . . 249,200 28,520 777 11.4 0.3 51,040 5,713 274 11.2 0.5 150,400 16,570 546 11.0 0.4 47,780 6,244 269 13.1 0.6
2021. . . . . . . . . . . . 249,300 17,270 560 6.9 0.2 52,030 2,347 197 4.5 0.4 150,700 10,460 395 6.9 0.3 46,550 4,466 207 9.6 0.4
2020² . . . . . . . . . . . 249,400 20,290 594 8.1 0.2 52,640 4,442 241 8.4 0.5 151,400 12,040 429 8.0 0.3 45,330 3,808 211 8.4 0.5
2019³ . . . . . . . . . . . 248,400 26,030 645 10.5 0.3 52,810 5,954 266 11.3 0.5 149,800 14,820 455 9.9 0.3 45,760 5,251 235 11.5 0.5
2019. . . . . . . . . . . . 248,400 26,090 669 10.5 0.3 52,810 5,928 270 11.2 0.5 149,800 14,910 459 9.9 0.3 45,760 5,256 246 11.5 0.5
2018. . . . . . . . . . . . 248,000 27,820 665 11.2 0.3 53,130 6,186 268 11.6 0.5 150,600 16,250 437 10.8 0.3 44,310 5,384 233 12.2 0.5
2017⁴ . . . . . . . . . . . 247,700 28,380 797 11.5 0.3 53,520 6,645 302 12.4 0.6 151,200 16,500 503 10.9 0.3 43,000 5,239 251 12.2 0.6
2017. . . . . . . . . . . . 247,700 30,430 780 12.3 0.3 53,450 7,365 296 13.8 0.5 151,300 17,660 487 11.7 0.3 42,990 5,406 257 12.6 0.6
2016. . . . . . . . . . . . 246,300 30,720 617 12.5 0.3 53,640 7,212 250 13.4 0.5 151,000 18,000 433 11.9 0.3 41,620 5,502 231 13.2 0.5
2015. . . . . . . . . . . . 245,800 31,490 735 12.8 0.3 53,820 7,903 299 14.7 0.6 151,700 18,740 495 12.4 0.3 40,250 4,849 224 12.0 0.6
2014. . . . . . . . . . . . 244,500 33,970 696 13.9 0.3 53,850 8,065 264 15.0 0.5 151,600 20,840 477 13.8 0.3 39,050 5,064 203 13.0 0.5
2013⁵ . . . . . . . . . . . 243,600 34,910 1,131 14.3 0.5 53,880 8,901 490 16.5 0.9 151,200 20,520 765 13.6 0.5 38,480 5,481 367 14.2 0.9
2013⁶ . . . . . . . . . . . 243,400 33,450 818 13.7 0.3 54,160 7,664 292 14.2 0.5 151,300 20,690 564 13.7 0.4 37,910 5,095 240 13.4 0.6
U.S. Census Bureau
2012. . . . . . . . . . . . 242,500 34,000 724 14.0 0.3 54,390 8,374 258 15.4 0.5 151,000 20,530 466 13.6 0.3 37,040 5,102 195 13.8 0.5
2011. . . . . . . . . . . . 241,600 34,340 732 14.2 0.3 54,440 8,622 269 15.8 0.5 151,400 20,770 488 13.7 0.3 35,730 4,943 209 13.8 0.6
2010. . . . . . . . . . . . 240,300 33,860 725 14.1 0.3 54,790 8,529 291 15.6 0.5 151,200 20,380 488 13.5 0.3 34,270 4,954 212 14.5 0.6
2009⁷ . . . . . . . . . . . 239,000 32,050 704 13.4 0.3 54,980 8,303 284 15.1 0.5 150,400 19,250 476 12.8 0.3 33,680 4,494 207 13.3 0.6
Footnotes available at end of table.
Table B-2.
U.S. Census Bureau
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
WHITE ALONE,
NOT HISPANIC
2022. . . . . . . . . . . . 193,500 17,680 587 9.1 0.3 35,200 2,524 183 7.2 0.5 115,300 10,090 418 8.7 0.4 42,970 5,064 248 11.8 0.6
2021. . . . . . . . . . . . 194,500 11,150 447 5.7 0.2 36,130 976 116 2.7 0.3 116,600 6,604 316 5.7 0.3 41,850 3,566 201 8.5 0.5
2020² . . . . . . . . . . . 195,300 12,700 488 6.5 0.3 36,660 2,071 169 5.7 0.5 117,800 7,618 348 6.5 0.3 40,860 3,009 195 7.4 0.5
2019³ . . . . . . . . . . . 194,900 15,920 477 8.2 0.2 36,610 2,577 176 7.0 0.5 116,800 9,189 342 7.9 0.3 41,440 4,156 209 10.0 0.5
2019. . . . . . . . . . . . 194,900 15,910 492 8.2 0.3 36,610 2,554 178 7.0 0.5 116,800 9,183 347 7.9 0.3 41,440 4,177 224 10.1 0.5
2018. . . . . . . . . . . . 195,100 16,930 522 8.7 0.3 36,860 2,582 166 7.0 0.4 118,000 10,040 384 8.5 0.3 40,220 4,313 216 10.7 0.5
2017⁴ . . . . . . . . . . . 195,500 17,690 555 9.0 0.3 37,390 3,023 190 8.1 0.5 119,000 10,340 376 8.7 0.3 39,130 4,332 231 11.1 0.6
2017. . . . . . . . . . . . 195,500 19,250 594 9.8 0.3 37,320 3,558 193 9.5 0.5 119,100 11,250 399 9.4 0.3 39,130 4,438 244 11.3 0.6
2016. . . . . . . . . . . . 195,500 19,450 564 9.9 0.3 37,720 3,302 176 8.8 0.5 119,800 11,610 414 9.7 0.3 37,950 4,535 220 11.9 0.6
2015. . . . . . . . . . . . 195,600 20,080 553 10.3 0.3 38,060 4,001 217 10.5 0.6 120,900 12,110 381 10.0 0.3 36,680 3,967 210 10.8 0.6
2014. . . . . . . . . . . . 195,400 21,320 574 10.9 0.3 38,200 3,790 190 9.9 0.5 121,400 13,380 402 11.0 0.3 35,730 4,148 190 11.6 0.5
2013⁵ . . . . . . . . . . . 195,200 21,740 903 11.1 0.5 38,300 4,331 346 11.3 0.9 121,600 12,890 619 10.6 0.5 35,320 4,518 348 12.8 1.0
2013⁶ . . . . . . . . . . . 195,400 20,950 668 10.7 0.3 38,630 3,364 214 8.7 0.6 122,000 13,370 481 11.0 0.4 34,780 4,209 229 12.1 0.7
2012. . . . . . . . . . . . 195,300 20,950 596 10.7 0.3 38,980 3,730 191 9.6 0.5 122,200 12,960 401 10.6 0.3 34,130 4,260 189 12.5 0.6
2011. . . . . . . . . . . . 195,100 21,410 586 11.0 0.3 39,140 3,949 207 10.1 0.5 123,100 13,290 393 10.8 0.3 32,900 4,169 193 12.7 0.6
2010. . . . . . . . . . . . 195,000 21,420 592 11.0 0.3 39,650 3,948 196 10.0 0.5 123,700 13,250 439 10.7 0.4 31,620 4,219 206 13.3 0.6
2009⁷ . . . . . . . . . . . 194,800 20,080 569 10.3 0.3 40,080 3,908 200 9.8 0.5 123,600 12,340 391 10.0 0.3 31,160 3,836 198 12.3 0.6
BLACK ALONE
OR IN
COMBINATION
Poverty in the United States: 2022 37
2022. . . . . . . . . . . . 49,220 8,318 435 16.9 0.9 13,660 2,372 223 17.4 1.6 29,460 4,712 285 16.0 0.9 6,097 1,234 93 20.2 1.5
2021. . . . . . . . . . . . 48,360 5,279 348 10.9 0.7 13,580 1,025 149 7.5 1.1 28,940 3,293 219 11.4 0.8 5,845 962 82 16.5 1.4
2020² . . . . . . . . . . . 48,430 6,915 380 14.3 0.8 13,740 2,143 188 15.6 1.3 29,200 3,937 222 13.5 0.8 5,487 834 73 15.2 1.3
2019³ . . . . . . . . . . . 47,420 8,838 431 18.6 0.9 13,180 2,613 200 19.8 1.5 28,840 5,076 270 17.6 0.9 5,394 1,148 83 21.3 1.5
2019. . . . . . . . . . . . 47,420 8,585 429 18.1 0.9 13,180 2,494 197 18.9 1.5 28,840 4,961 271 17.2 0.9 5,394 1,130 82 21.0 1.5
2018. . . . . . . . . . . . 46,920 9,416 451 20.1 1.0 13,320 3,010 221 22.6 1.6 28,420 5,269 276 18.5 1.0 5,180 1,137 86 22.0 1.6
2017⁴ . . . . . . . . . . . 46,480 9,476 397 20.4 0.9 13,300 2,918 210 21.9 1.6 28,230 5,447 245 19.3 0.9 4,942 1,111 77 22.5 1.5
2017. . . . . . . . . . . . 46,540 10,090 430 21.7 0.9 13,340 3,129 215 23.5 1.6 28,250 5,800 268 20.5 0.9 4,952 1,165 84 23.5 1.7
2016. . . . . . . . . . . . 45,780 9,659 398 21.1 0.9 13,290 3,068 207 23.1 1.5 27,830 5,520 237 19.8 0.9 4,660 1,070 70 23.0 1.5
2015. . . . . . . . . . . . 45,330 10,220 436 22.5 1.0 13,230 3,090 194 23.4 1.5 27,650 6,056 279 21.9 1.0 4,447 1,075 78 24.2 1.7
2014. . . . . . . . . . . . 44,690 10,480 356 23.4 0.8 13,000 3,371 182 25.9 1.4 27,440 6,121 234 22.3 0.8 4,249 986 63 23.2 1.5
2013⁵ . . . . . . . . . . . 44,250 10,720 717 24.2 1.5 13,140 3,449 336 26.3 2.4 27,060 6,230 453 23.0 1.6 4,054 1,038 132 25.6 3.2
2013⁶ . . . . . . . . . . . 44,190 10,770 513 24.4 1.1 13,180 3,473 231 26.4 1.7 26,920 6,382 330 23.7 1.2 4,085 919 77 22.5 1.9
2012. . . . . . . . . . . . 43,690 11,160 450 25.5 1.0 13,220 3,698 235 28.0 1.7 26,480 6,561 255 24.8 1.0 3,993 900 68 22.5 1.7
2011. . . . . . . . . . . . 42,750 10,830 416 25.3 1.0 13,070 3,665 211 28.0 1.6 25,960 6,281 247 24.2 0.9 3,718 886 64 23.8 1.7
2010. . . . . . . . . . . . 42,470 10,660 383 25.1 0.9 13,100 3,602 190 27.5 1.4 25,820 6,172 236 23.9 0.9 3,555 882 59 24.8 1.7
2009⁷ . . . . . . . . . . . 41,800 9,540 386 22.8 0.9 13,150 3,219 197 24.5 1.5 25,210 5,438 234 21.6 0.9 3,450 882 58 25.6 1.7
Footnotes available at end of table.
Table B-2.
38 Poverty in the United States: 2022
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
BLACK ALONE⁹
2022. . . . . . . . . . . . 44,620 7,671 417 17.2 0.9 11,270 2,002 204 17.8 1.8 27,450 4,466 272 16.3 1.0 5,897 1,203 92 20.4 1.5
2021. . . . . . . . . . . . 44,090 4,998 336 11.3 0.8 11,300 917 143 8.1 1.3 27,110 3,139 216 11.6 0.8 5,675 942 83 16.6 1.4
2020² . . . . . . . . . . . 43,830 6,435 353 14.7 0.8 11,310 1,908 175 16.9 1.5 27,200 3,713 208 13.7 0.8 5,328 814 72 15.3 1.3
2019³ . . . . . . . . . . . 43,090 8,144 409 18.9 1.0 10,980 2,245 176 20.4 1.6 26,860 4,768 265 17.8 1.0 5,257 1,130 82 21.5 1.5
2019. . . . . . . . . . . . 43,090 7,907 408 18.3 0.9 10,980 2,136 173 19.5 1.6 26,860 4,659 266 17.3 1.0 5,257 1,113 82 21.2 1.5
2018. . . . . . . . . . . . 42,840 8,727 432 20.4 1.0 11,150 2,624 203 23.5 1.8 26,640 4,985 273 18.7 1.0 5,045 1,118 86 22.2 1.7
2017⁴ . . . . . . . . . . . 42,560 8,775 375 20.6 0.9 11,090 2,529 189 22.8 1.7 26,650 5,154 238 19.3 0.9 4,827 1,092 77 22.6 1.6
2017. . . . . . . . . . . . 42,560 9,394 410 22.1 1.0 11,080 2,758 196 24.9 1.8 26,650 5,488 261 20.6 1.0 4,834 1,147 84 23.7 1.7
2016. . . . . . . . . . . . 42,040 9,086 390 21.6 0.9 11,190 2,740 198 24.5 1.8 26,290 5,295 235 20.1 0.9 4,561 1,052 69 23.1 1.5
2015. . . . . . . . . . . . 41,700 9,527 423 22.8 1.0 11,170 2,701 182 24.2 1.6 26,190 5,781 274 22.1 1.0 4,343 1,046 75 24.1 1.7
2014. . . . . . . . . . . . 41,230 9,746 329 23.6 0.8 11,130 2,938 161 26.4 1.4 25,950 5,837 221 22.5 0.8 4,143 970 62 23.4 1.5
2013⁵ . . . . . . . . . . . 40,590 9,729 641 24.0 1.6 11,100 2,876 295 25.9 2.6 25,560 5,853 416 22.9 1.6 3,933 1,000 128 25.4 3.2
2013⁶ . . . . . . . . . . . 40,670 10,060 498 24.7 1.2 11,140 3,084 214 27.7 1.9 25,550 6,073 330 23.8 1.3 3,975 899 78 22.6 2.0
2012. . . . . . . . . . . . 40,210 10,360 415 25.8 1.0 11,160 3,214 204 28.8 1.8 25,150 6,276 251 24.9 1.0 3,893 873 66 22.4 1.7
2011. . . . . . . . . . . . 39,700 10,180 405 25.6 1.0 11,230 3,283 198 29.2 1.8 24,830 6,032 240 24.3 1.0 3,640 866 63 23.8 1.7
2010. . . . . . . . . . . . 39,350 9,939 382 25.3 1.0 11,240 3,205 180 28.5 1.6 24,670 5,880 234 23.8 0.9 3,443 854 58 24.8 1.7
2009⁷ . . . . . . . . . . . 38,950 8,979 363 23.1 0.9 11,410 2,875 177 25.2 1.5 24,170 5,232 225 21.7 0.9 3,366 872 57 25.9 1.7
BLACK ALONE,
NOT HISPANIC
2022. . . . . . . . . . . . 41,360 7,104 407 17.2 1.0 10,200 1,865 202 18.3 2.0 25,500 4,105 264 16.1 1.0 5,650 1,134 84 20.1 1.5
2021. . . . . . . . . . . . 40,960 4,596 323 11.2 0.8 10,250 846 138 8.3 1.3 25,260 2,841 207 11.2 0.8 5,454 909 81 16.7 1.5
2020² . . . . . . . . . . . 40,770 6,017 344 14.8 0.8 10,300 1,772 169 17.2 1.6 25,340 3,452 206 13.6 0.8 5,128 793 72 15.5 1.4
2019³ . . . . . . . . . . . 40,210 7,555 388 18.8 0.9 10,070 2,075 173 20.6 1.7 25,090 4,402 242 17.5 0.9 5,048 1,078 80 21.4 1.6
2019. . . . . . . . . . . . 40,210 7,330 384 18.2 0.9 10,070 1,966 168 19.5 1.7 25,090 4,296 242 17.1 0.9 5,048 1,068 80 21.2 1.6
2018. . . . . . . . . . . . 39,780 8,109 410 20.4 1.0 10,160 2,407 188 23.7 1.8 24,820 4,641 264 18.7 1.0 4,803 1,061 85 22.1 1.7
2017⁴ . . . . . . . . . . . 39,720 8,025 374 20.2 0.9 10,140 2,254 184 22.2 1.8 24,980 4,758 235 19.0 0.9 4,599 1,013 72 22.0 1.5
2017. . . . . . . . . . . . 39,710 8,680 405 21.9 1.0 10,130 2,483 189 24.5 1.9 24,980 5,121 256 20.5 1.0 4,598 1,076 77 23.4 1.7
2016. . . . . . . . . . . . 39,260 8,433 377 21.5 0.9 10,220 2,493 185 24.4 1.8 24,670 4,936 230 20.0 0.9 4,368 1,005 69 23.0 1.5
2015. . . . . . . . . . . . 39,260 8,966 399 22.8 1.0 10,270 2,476 169 24.1 1.6 24,770 5,469 257 22.1 1.0 4,214 1,021 76 24.2 1.8
2014. . . . . . . . . . . . 38,610 8,994 326 23.3 0.8 10,240 2,686 151 26.2 1.5 24,360 5,388 221 22.1 0.9 4,013 920 63 22.9 1.6
2013⁵ . . . . . . . . . . . 38,020 9,130 610 24.0 1.6 10,100 2,632 277 26.1 2.7 24,080 5,517 397 22.9 1.6 3,836 981 126 25.6 3.3
U.S. Census Bureau
2013⁶ . . . . . . . . . . . 37,780 9,306 459 24.6 1.2 10,110 2,813 201 27.8 2.0 23,830 5,633 304 23.6 1.3 3,841 860 76 22.4 2.0
2012. . . . . . . . . . . . 37,620 9,601 390 25.5 1.0 10,200 2,905 188 28.5 1.8 23,670 5,862 241 24.8 1.0 3,750 834 62 22.2 1.7
2011. . . . . . . . . . . . 37,100 9,356 404 25.2 1.1 10,190 2,928 190 28.7 1.9 23,350 5,586 244 23.9 1.0 3,559 842 60 23.7 1.7
2010. . . . . . . . . . . . 36,750 9,172 371 25.0 1.0 10,280 2,907 167 28.3 1.6 23,130 5,433 231 23.5 1.0 3,329 832 57 25.0 1.7
2009⁷ . . . . . . . . . . . 36,590 8,292 350 22.7 0.9 10,510 2,631 165 25.0 1.6 22,820 4,840 219 21.2 0.9 3,265 821 55 25.1 1.7
Footnotes available at end of table.
Table B-2.
U.S. Census Bureau
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
ASIAN ALONE
OR IN
COMBINATION
2022. . . . . . . . . . . . 24,320 2,700 245 11.1 1.0 5,690 505 90 8.9 1.6 15,510 1,637 177 10.6 1.1 3,127 559 77 17.9 2.4
2021. . . . . . . . . . . . 23,480 2,098 179 8.9 0.8 5,641 258 61 4.6 1.1 14,830 1,374 134 9.3 0.9 3,011 465 59 15.5 1.9
2020² . . . . . . . . . . . 22,930 1,952 209 8.5 0.9 5,568 353 73 6.3 1.3 14,610 1,207 143 8.3 1.0 2,747 392 58 14.3 2.1
2019³ . . . . . . . . . . . 22,460 2,410 191 10.7 0.8 5,254 419 69 8.0 1.3 14,480 1,534 138 10.6 0.9 2,724 457 67 16.8 2.4
2019. . . . . . . . . . . . 22,460 2,489 194 11.1 0.9 5,254 438 70 8.3 1.3 14,480 1,577 140 10.9 1.0 2,724 474 67 17.4 2.4
2018. . . . . . . . . . . . 22,070 2,938 225 13.3 1.0 5,183 569 86 11.0 1.6 14,350 1,859 144 13.0 1.0 2,539 509 58 20.1 2.2
2017⁴ . . . . . . . . . . . 21,570 2,930 213 13.6 1.0 5,182 629 83 12.1 1.6 13,990 1,844 144 13.2 1.0 2,392 457 59 19.1 2.4
2017. . . . . . . . . . . . 21,520 3,127 214 14.5 1.0 5,142 682 90 13.3 1.7 13,970 1,974 141 14.1 1.0 2,408 471 57 19.6 2.3
2016. . . . . . . . . . . . 20,770 2,976 217 14.3 1.1 4,939 582 85 11.8 1.7 13,580 1,942 160 14.3 1.2 2,253 453 57 20.1 2.5
2015. . . . . . . . . . . . 20,050 3,108 225 15.5 1.1 4,738 599 80 12.7 1.7 13,130 2,064 161 15.7 1.2 2,176 445 56 20.4 2.6
2014. . . . . . . . . . . . 19,690 3,249 245 16.5 1.2 4,800 671 87 14.0 1.8 12,830 2,095 169 16.3 1.3 2,059 483 59 23.5 2.8
2013⁵ . . . . . . . . . . . 19,190 2,974 375 15.5 1.9 4,904 672 151 13.7 3.0 12,390 1,921 247 15.5 2.0 1,889 381 88 20.2 4.5
2013⁶ . . . . . . . . . . . 19,030 3,022 264 15.9 1.4 4,747 608 93 12.8 1.9 12,370 2,022 186 16.3 1.4 1,910 391 55 20.5 2.7
2012. . . . . . . . . . . . 18,190 2,928 223 16.1 1.2 4,575 724 90 15.8 1.9 11,910 1,891 147 15.9 1.2 1,703 312 43 18.3 2.5
2011. . . . . . . . . . . . 17,820 2,948 230 16.5 1.3 4,580 635 83 13.9 1.8 11,660 1,985 169 17.0 1.4 1,581 328 44 20.8 2.8
2010. . . . . . . . . . . . 17,250 2,772 215 16.1 1.2 4,319 591 90 13.7 2.0 11,410 1,807 142 15.8 1.3 1,515 374 50 24.7 3.2
2009⁷ . . . . . . . . . . . 16,740 2,973 212 17.8 1.2 4,322 714 85 16.5 1.9 11,020 1,929 139 17.5 1.2 1,400 331 46 23.6 3.2
ASIAN ALONE10
2022. . . . . . . . . . . . 21,600 2,502 237 11.6 1.1 4,275 423 84 9.9 1.9 14,290 1,529 173 10.7 1.2 3,034 550 76 18.1 2.5
Poverty in the United States: 2022 39
2021. . . . . . . . . . . . 20,700 1,956 178 9.5 0.9 4,223 217 58 5.1 1.4 13,580 1,295 134 9.5 1.0 2,900 444 56 15.3 1.9
2020² . . . . . . . . . . . 20,350 1,788 204 8.8 1.0 4,286 288 70 6.7 1.6 13,420 1,118 139 8.3 1.0 2,646 381 58 14.4 2.2
2019³ . . . . . . . . . . . 19,940 2,257 189 11.3 0.9 3,930 371 63 9.5 1.6 13,370 1,441 138 10.8 1.0 2,638 445 68 16.9 2.5
2019. . . . . . . . . . . . 19,940 2,327 191 11.7 1.0 3,930 383 63 9.8 1.6 13,370 1,481 140 11.1 1.0 2,638 462 67 17.5 2.5
2018. . . . . . . . . . . . 19,790 2,749 220 13.9 1.1 4,019 484 75 12.0 1.8 13,290 1,762 146 13.3 1.1 2,479 503 58 20.3 2.2
2017⁴ . . . . . . . . . . . 19,540 2,743 210 14.0 1.1 4,069 527 76 13.0 1.9 13,120 1,767 143 13.5 1.1 2,348 448 57 19.1 2.4
2017. . . . . . . . . . . . 19,480 2,948 204 15.1 1.0 4,028 593 79 14.7 1.9 13,100 1,894 138 14.5 1.0 2,358 461 55 19.5 2.3
2016. . . . . . . . . . . . 18,900 2,774 204 14.7 1.1 3,892 507 76 13.0 1.9 12,800 1,818 152 14.2 1.2 2,209 448 56 20.3 2.5
2015. . . . . . . . . . . . 18,250 2,929 221 16.1 1.2 3,794 536 80 14.1 2.1 12,330 1,958 154 15.9 1.2 2,130 436 56 20.5 2.6
2014. . . . . . . . . . . . 17,800 3,075 243 17.3 1.3 3,755 606 84 16.1 2.2 12,010 1,992 169 16.6 1.4 2,029 477 58 23.5 2.8
2013⁵ . . . . . . . . . . . 17,260 2,747 350 15.9 2.0 3,770 559 138 14.8 3.7 11,650 1,815 232 15.6 2.0 1,845 373 89 20.2 4.6
2013⁶ . . . . . . . . . . . 17,070 2,800 260 16.4 1.5 3,658 507 85 13.9 2.3 11,530 1,907 183 16.5 1.5 1,881 386 54 20.5 2.7
2012. . . . . . . . . . . . 16,430 2,737 213 16.7 1.2 3,611 633 84 17.5 2.3 11,150 1,798 141 16.1 1.2 1,669 305 43 18.3 2.5
2011. . . . . . . . . . . . 16,090 2,715 215 16.9 1.3 3,665 533 74 14.5 2.0 10,870 1,861 159 17.1 1.4 1,555 322 44 20.7 2.9
2010. . . . . . . . . . . . 15,620 2,590 210 16.6 1.3 3,439 516 85 15.0 2.3 10,700 1,702 141 15.9 1.3 1,484 372 50 25.1 3.2
2009⁷ . . . . . . . . . . . 15,240 2,782 199 18.3 1.3 3,480 636 77 18.3 2.1 10,390 1,821 135 17.5 1.3 1,372 326 46 23.8 3.2
Footnotes available at end of table.
Table B-2.
40 Poverty in the United States: 2022
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
AMERICAN
INDIAN AND
ALASKA
NATIVE
ALONE OR IN
COMBINATION
2022. . . . . . . . . . . . 7,122 1,280 210 18.0 2.5 2,090 386 96 18.5 3.9 4,224 744 131 17.6 2.7 808 149 36 18.5 3.9
2021. . . . . . . . . . . . 7,092 835 134 11.8 1.8 2,173 176 59 8.1 2.7 4,111 553 91 13.5 2.1 807 106 26 13.1 3.0
2020² . . . . . . . . . . . 6,769 836 125 12.3 1.8 1,987 250 72 12.6 3.4 4,079 493 68 12.1 1.6 703 93 23 13.2 3.2
2019³ . . . . . . . . . . . 6,562 977 123 14.9 1.8 1,917 263 57 13.7 2.9 3,926 605 78 15.4 1.9 719 109 26 15.2 3.5
2019. . . . . . . . . . . . 6,562 935 120 14.3 1.8 1,917 253 57 13.2 2.8 3,926 581 77 14.8 1.9 719 101 26 14.1 3.5
2018. . . . . . . . . . . . 6,842 1,217 149 17.8 2.0 2,049 347 73 17.0 3.4 4,072 735 92 18.0 2.0 721 135 25 18.7 3.1
2017⁴ . . . . . . . . . . . 6,940 1,227 140 17.7 1.9 2,042 342 67 16.7 3.2 4,193 732 87 17.5 1.9 706 153 28 21.7 3.8
2017. . . . . . . . . . . . 6,939 1,251 149 18.0 2.0 2,027 332 70 16.4 3.3 4,210 752 92 17.9 2.0 702 167 31 23.8 4.1
2016. . . . . . . . . . . . 6,857 1,249 153 18.2 2.0 2,088 380 66 18.2 3.0 4,090 729 96 17.8 2.1 679 140 31 20.5 4.1
2015. . . . . . . . . . . . 7,150 1,389 152 19.4 1.9 2,234 446 75 20.0 3.1 4,281 808 87 18.9 1.8 636 136 29 21.4 4.4
2014. . . . . . . . . . . . 6,700 1,379 134 20.6 1.9 2,159 472 70 21.9 3.1 3,937 820 90 20.8 2.1 604 87 26 14.4 3.9
2013⁵ . . . . . . . . . . . 5,834 1,263 249 21.7 3.8 1,797 406 109 22.6 5.5 3,518 754 168 21.4 4.3 519 104 38 20.0 6.6
2013⁶ . . . . . . . . . . . 6,396 1,359 212 21.3 2.7 1,999 441 102 22.1 4.7 3,841 815 121 21.2 2.7 556 103 39 18.5 6.4
2012. . . . . . . . . . . . 6,308 1,615 204 25.6 2.6 1,947 579 98 29.7 4.0 3,831 940 126 24.5 2.7 529 96 23 18.2 3.8
2011. . . . . . . . . . . . 6,234 1,419 167 22.8 2.4 1,976 447 82 22.6 3.7 3,808 883 108 23.2 2.5 450 89 19 19.8 4.1
2010. . . . . . . . . . . . 6,101 1,466 192 24.0 2.7 2,050 561 88 27.4 3.8 3,617 824 119 22.8 2.9 434 81 16 18.6 3.6
2009⁷ . . . . . . . . . . . 6,279 1,321 174 21.0 2.2 2,082 452 73 21.7 3.0 3,786 794 114 21.0 2.3 411 75 20 18.2 4.3
AMERICAN
INDIAN AND
ALASKA
NATIVE
ALONE11
2022. . . . . . . . . . . . 4,003 930 194 23.2 4.0 1,061 275 84 25.9 6.4 2,509 567 122 22.6 4.1 433 88 25 20.4 5.1
2021. . . . . . . . . . . . 4,127 512 110 12.4 2.4 1,172 87 34 7.4 2.7 2,539 363 84 14.3 3.0 415 62 19 14.8 4.1
2020² . . . . . . . . . . . 3,959 613 113 15.5 2.7 1,107 168 58 15.2 5.1 2,466 377 68 15.3 2.5 386 68 21 17.7 5.1
2019³ . . . . . . . . . . . 3,744 622 105 16.6 2.3 1,045 147 40 14.0 3.3 2,301 391 68 17.0 2.5 398 84 24 21.1 5.3
U.S. Census Bureau
2019. . . . . . . . . . . . 3,744 591 102 15.8 2.3 1,045 139 39 13.3 3.2 2,301 373 66 16.2 2.4 398 79 25 19.9 5.7
2018. . . . . . . . . . . . 3,684 735 127 20.0 2.7 1,008 211 50 20.9 4.3 2,325 446 81 19.2 2.8 351 79 22 22.4 4.4
2017⁴ . . . . . . . . . . . 3,630 664 105 18.3 2.6 972 162 40 16.7 4.0 2,323 422 72 18.2 2.7 335 80 21 23.9 5.7
2017. . . . . . . . . . . . 3,632 672 106 18.5 2.6 961 165 39 17.2 4.0 2,335 417 72 17.9 2.7 336 91 24 27.0 5.9
2016. . . . . . . . . . . . 3,718 757 130 20.4 2.9 1,059 223 50 21.1 4.3 2,326 448 83 19.3 2.9 333 85 25 25.6 5.9
2015. . . . . . . . . . . . 4,300 877 126 20.4 2.5 1,329 289 63 21.7 4.3 2,649 520 73 19.6 2.3 323 69 20 21.4 5.7
Footnotes available at end of table.
Table B-2.
U.S. Census Bureau
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
2014. . . . . . . . . . . . 3,819 881 116 23.1 2.7 1,187 287 57 24.2 4.0 2,317 536 78 23.1 3.0 315 58 22 18.5 6.2
2013⁵ . . . . . . . . . . . 3,077 645 188 21.0 5.1 961 178 76 18.6 7.6 1,868 404 134 21.7 5.9 249 62 35 25.1 11.0
2013⁶ . . . . . . . . . . . 3,369 789 183 23.4 4.0 989 236 82 23.9 7.2 2,114 505 112 23.9 4.0 266 48 25 18.0 8.2
2012. . . . . . . . . . . . 3,475 1,052 193 30.3 3.8 1,064 357 77 33.5 5.2 2,135 630 126 29.5 4.1 276 65 22 23.5 6.6
2011. . . . . . . . . . . . 3,216 851 132 26.5 3.3 949 270 70 28.4 6.1 2,060 543 85 26.4 3.4 207 38 12 18.5 5.8
2010. . . . . . . . . . . . 3,093 808 181 26.1 4.7 955 294 80 30.7 6.5 1,964 486 111 24.8 4.7 174 28 9 16.0 5.0
2009⁷ . . . . . . . . . . . 3,238 799 188 24.7 3.8 1,043 245 66 23.5 4.5 2,025 510 124 25.2 4.0 170 44 14 26.0 6.8
TWO OR MORE
RACES
2022. . . . . . . . . . . . 9,711 1,106 139 11.4 1.4 4,537 523 97 11.5 2.1 4,564 492 79 10.8 1.7 609 91 29 15.0 4.7
2021. . . . . . . . . . . . 9,203 669 121 7.3 1.3 4,385 220 68 5.0 1.5 4,230 381 67 9.0 1.5 587 69 23 11.7 3.7
2020² . . . . . . . . . . . 9,258 830 121 9.0 1.3 4,331 369 76 8.5 1.7 4,424 409 66 9.3 1.4 503 52 18 10.3 3.2
2019³ . . . . . . . . . . . 8,967 1,080 145 12.0 1.5 4,131 478 86 11.6 2.1 4,330 556 87 12.8 1.8 506 47 21 9.2 4.0
2019. . . . . . . . . . . . 8,967 1,065 144 11.9 1.5 4,131 473 85 11.4 2.0 4,330 549 86 12.7 1.8 506 43 20 8.6 3.9
2018. . . . . . . . . . . . 8,822 1,197 153 13.6 1.7 4,156 543 102 13.1 2.4 4,159 586 77 14.1 1.8 508 68 20 13.3 3.8
2017⁴ . . . . . . . . . . . 8,486 1,313 160 15.5 1.7 4,044 601 99 14.9 2.3 3,975 621 82 15.6 1.8 467 91 22 19.5 4.2
2017. . . . . . . . . . . . 8,541 1,317 152 15.4 1.6 4,077 569 90 14.0 2.2 3,995 656 84 16.4 1.9 469 91 23 19.5 4.5
2016. . . . . . . . . . . . 8,119 1,135 137 14.0 1.6 3,904 503 78 12.9 1.9 3,764 563 79 15.0 2.0 451 69 20 15.3 4.2
2015. . . . . . . . . . . . 7,650 1,255 127 16.4 1.6 3,686 557 75 15.1 2.0 3,556 609 78 17.1 2.1 408 89 27 21.8 5.6
2014. . . . . . . . . . . . 7,490 1,257 138 16.8 1.6 3,597 609 81 16.9 2.2 3,521 603 79 17.1 1.9 372 45 15 12.1 3.8
2013⁵ . . . . . . . . . . . 7,739 1,636 304 21.1 3.5 3,775 805 182 21.3 4.5 3,564 752 156 21.1 4.0 400 78 37 19.6 8.3
2013⁶ . . . . . . . . . . . 7,755 1,335 160 17.2 1.9 3,813 621 98 16.3 2.5 3,550 646 91 18.2 2.1 392 68 25 17.4 6.0
Poverty in the United States: 2022 41
2012. . . . . . . . . . . . 7,380 1,387 159 18.8 2.1 3,629 718 103 19.8 2.8 3,404 612 79 18.0 2.1 347 57 17 16.5 5.1
2011. . . . . . . . . . . . 7,182 1,269 139 17.7 1.8 3,498 577 83 16.5 2.3 3,361 622 78 18.5 2.1 323 70 17 21.8 4.9
2010. . . . . . . . . . . . 7,203 1,399 164 19.4 2.1 3,565 669 97 18.8 2.6 3,285 655 87 19.9 2.4 353 75 18 21.2 4.9
2009⁷ . . . . . . . . . . . 6,866 1,153 133 16.8 1.7 3,386 569 84 16.8 2.3 3,164 540 70 17.1 1.8 316 43 16 13.7 4.8
HISPANIC
(ANY RACE)12
2022. . . . . . . . . . . . 63,960 12,360 485 19.3 0.8 18,850 3,681 226 19.5 1.2 39,680 7,353 327 18.5 0.8 5,426 1,321 99 24.4 1.8
2021. . . . . . . . . . . . 62,650 7,022 342 11.2 0.5 18,820 1,575 155 8.4 0.8 38,620 4,465 236 11.6 0.6 5,213 983 82 18.8 1.6
2020² . . . . . . . . . . . 61,880 8,672 443 14.0 0.7 18,880 2,768 203 14.7 1.1 38,090 5,050 282 13.3 0.7 4,906 855 80 17.4 1.6
2019³ . . . . . . . . . . . 60,720 11,440 478 18.8 0.8 18,730 3,804 223 20.3 1.2 37,210 6,433 310 17.3 0.8 4,787 1,200 82 25.1 1.7
2019. . . . . . . . . . . . 60,720 11,460 475 18.9 0.8 18,730 3,788 214 20.2 1.1 37,210 6,505 312 17.5 0.8 4,787 1,171 81 24.5 1.7
2018. . . . . . . . . . . . 60,100 12,220 442 20.3 0.7 18,880 4,111 224 21.8 1.2 36,670 6,944 275 18.9 0.8 4,544 1,161 75 25.5 1.7
2017⁴ . . . . . . . . . . . 59,220 12,150 533 20.5 0.9 18,770 4,152 248 22.1 1.3 36,140 6,949 318 19.2 0.9 4,320 1,044 84 24.2 1.9
2017. . . . . . . . . . . . 59,230 12,650 488 21.4 0.8 18,750 4,355 238 23.2 1.3 36,160 7,187 293 19.9 0.8 4,322 1,112 82 25.7 1.9
2016. . . . . . . . . . . . 57,670 12,670 432 22.0 0.7 18,500 4,449 216 24.0 1.2 35,110 7,160 264 20.4 0.7 4,057 1,061 72 26.2 1.8
2015. . . . . . . . . . . . 56,870 12,860 487 22.6 0.9 18,320 4,485 227 24.5 1.2 34,690 7,425 290 21.4 0.8 3,863 953 69 24.7 1.8
Footnotes available at end of table.
Table B-2.
42 Poverty in the United States: 2022
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure by Age, Race, and
Hispanic Origin: 2009 to 2022—Con.
(Populations in thousands. Margins of error in thousands or percentage points as appropriate. Population as of March of the following year. Information on confidential-
ity protection, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and over
Below poverty Below poverty Below poverty Below poverty
Race, Hispanic Margin Margin Margin Margin Margin Margin Margin Margin
origin, and year of of of of of of of of
error¹ error¹ error¹ error¹ error¹ error¹ error¹ error¹
Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±) Total Number (±) Percent (±)
2014. . . . . . . . . . . . 55,610 14,430 449 25.9 0.8 18,110 4,998 228 27.6 1.2 33,870 8,433 265 24.9 0.8 3,636 998 70 27.4 1.9
2013⁵ . . . . . . . . . . . 54,330 14,650 857 27.0 1.6 18,050 5,147 390 28.5 2.2 32,840 8,487 546 25.8 1.7 3,443 1,015 148 29.5 4.3
2013⁶ . . . . . . . . . . . 54,250 14,090 556 26.0 1.0 17,950 4,882 242 27.2 1.4 32,900 8,239 342 25.0 1.0 3,405 964 77 28.3 2.2
2012. . . . . . . . . . . . 53,230 14,820 450 27.8 0.8 17,790 5,379 212 30.2 1.2 32,230 8,489 275 26.3 0.8 3,213 951 67 29.6 2.1
2011. . . . . . . . . . . . 52,360 14,590 502 27.9 1.0 17,680 5,341 225 30.2 1.3 31,640 8,417 314 26.6 1.0 3,036 832 70 27.4 2.3
2010. . . . . . . . . . . . 51,070 14,140 476 27.7 0.9 17,480 5,270 226 30.2 1.3 30,740 8,095 289 26.3 0.9 2,860 776 59 27.1 2.1
2009⁷ . . . . . . . . . . . 49,800 13,510 465 27.1 0.9 17,100 4,984 217 29.1 1.3 29,980 7,800 283 26.0 0.9 2,716 726 52 26.7 1.9
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable the estimate. This number, when added to and
subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table are based on standard errors calculated using replicate weights.
² Implementation of 2020 Census-based population controls.
³ Estimates reflect the implementation of revised Supplemental Poverty Measure (SPM) methodology. More information is provided in the SPM technical documentation available at
<https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>.
⁴ Estimates reflect the implementation of an updated processing system and should be used to make comparisons to 2018 and subsequent years.
⁵ The 2014 CPS ASEC included redesigned questions for income and health insurance coverage. All of the approximately 98,000 addresses were eligible to receive the redesigned set of
health insurance coverage questions. The redesigned income questions were implemented to a subsample of the 98,000 addresses using a probability split panel design. Approximately 68,000
addresses were eligible to receive a set of income questions similar to those used in the 2013 CPS ASEC, and the remaining 30,000 addresses were eligible to receive the redesigned income
questions. The source of these 2013 estimates is the portion of the CPS ASEC sample that received the redesigned income questions, approximately 30,000 addresses.
⁶ The source of these 2013 estimates is the portion of the CPS ASEC sample that received the income questions consistent with the 2013 CPS ASEC, approximately 68,000 addresses.
⁷ Implementation of 2010 Census-based population controls.
⁸ Beginning with the 2003 CPS ASEC, respondents were allowed to choose one or more races. White alone refers to people who reported White and did not report any other race category.
The use of this single-race population does not imply that it is the preferred method of presenting or analyzing the data. The Census Bureau uses a variety of approaches.
⁹ Black alone refers to people who reported Black and did not report any other race category.
10
Asian alone refers to people who reported Asian and did not report any other race category.
11
American Indian and Alaska Native alone refers to people who reported American Indian and Alaska Native and did not report any other race category.
12
Because Hispanics may be any race, data in this report for Hispanics overlap with data for racial groups. Of those who reported only one race, being Hispanic was reported by 16.7
percent of White householders, 5.9 percent of Black householders, 2.7 percent of Asian householders, and 33.4 percent of American Indian and Alaska Native householders. Data users should
exercise caution when interpreting aggregate results for the Hispanic population and for race groups because these populations consist of many distinct groups that differ in socioeconomic
characteristics, culture, and recency of immigration. Data were first collected for Hispanics in 1972.
Note: Details may not sum to totals due to rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2010 to 2023 Annual Social and Economic Supplements (CPS ASEC).
U.S. Census Bureau
Table B-3.
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure:
2021 and 2022—Con.
(Numbers in thousands. Margins of error in thousands or percentage points as appropriate. People as of March of the following
year. Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
Difference
SPM 2021 SPM 2022
(2022 less 2021)
Characteristic Margin Margin Margin Margin
of error¹ of error¹ of error¹ of error¹
Number (±) Percent (±) Number (±) Percent (±) Number Percent
All people . . . . . . . . . . . . . . . . . . . . . 25,580 718 7.8 0.2 40,900 927 12.4 0.3 *15,320 *4.6
Sex
Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,360 409 7.6 0.3 19,460 502 11.9 0.3 *7,091 *4.3
Female. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,220 411 7.9 0.2 21,450 538 12.8 0.3 *8,229 *4.9
Age
Under 18 years. . . . . . . . . . . . . . . . . . . . . . . . . 3,829 264 5.2 0.4 8,983 371 12.4 0.5 *5,154 *7.2
18 to 64 years. . . . . . . . . . . . . . . . . . . . . . . . . . 15,750 501 7.9 0.3 23,730 648 11.9 0.3 *7,983 *3.9
65 years and older . . . . . . . . . . . . . . . . . . . . . 6,003 238 10.7 0.4 8,187 288 14.1 0.5 *2,184 *3.5
Type of Unit
Married couple. . . . . . . . . . . . . . . . . . . . . . . . . 8,470 467 4.4 0.2 14,910 605 7.6 0.3 *6,437 *3.2
Cohabiting partners. . . . . . . . . . . . . . . . . . . . 1,897 229 6.5 0.7 3,480 359 12.3 1.2 *1,583 *5.8
Female reference person . . . . . . . . . . . . . . . 4,958 350 11.7 0.8 9,419 530 22.6 1.1 *4,460 *10.9
Male reference person. . . . . . . . . . . . . . . . . . 1,755 201 10.6 1.2 2,405 221 14.7 1.2 *651 *4.0
Unrelated individuals. . . . . . . . . . . . . . . . . . . 8,504 338 18.1 0.7 10,690 401 22.4 0.7 *2,189 *4.3
Race² and Hispanic Origin
White. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,270 560 6.9 0.2 28,520 777 11.4 0.3 *11,260 *4.5
White, not Hispanic . . . . . . . . . . . . . . . . . . 11,150 447 5.7 0.2 17,680 587 9.1 0.3 *6,531 *3.4
Black . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,998 336 11.3 0.8 7,671 417 17.2 0.9 *2,673 *5.9
Asian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,956 178 9.5 0.9 2,502 237 11.6 1.1 *545 *2.1
American Indian and Alaska Native. . . . . . 512 110 12.4 2.4 930 194 23.2 4.0 *419 *10.8
Two or More Races. . . . . . . . . . . . . . . . . . . . . 669 121 7.3 1.3 1,106 139 11.4 1.4 *437 *4.1
Hispanic (any race). . . . . . . . . . . . . . . . . . . . . 7,022 342 11.2 0.5 12,360 485 19.3 0.8 *5,332 *8.1
Nativity
Native-born . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,440 594 6.9 0.2 31,620 811 11.2 0.3 *12,170 *4.3
Foreign-born . . . . . . . . . . . . . . . . . . . . . . . . . . 6,139 318 13.1 0.7 9,289 426 19.0 0.8 *3,150 *5.9
Naturalized citizen. . . . . . . . . . . . . . . . . . . 2,351 185 10.3 0.8 3,237 197 13.5 0.8 *886 *3.2
Not a citizen. . . . . . . . . . . . . . . . . . . . . . . . . 3,788 274 15.8 1.1 6,052 358 24.4 1.2 *2,264 *8.6
Educational Attainment
Total, 25 years old and older. . . . . . 18,390 522 8.1 0.2 26,530 608 11.7 0.3 *8,135 *3.5
No high school diploma . . . . . . . . . . . . . . . . 3,934 208 19.7 0.9 5,446 264 27.9 1.2 *1,512 *8.2
High school, no college. . . . . . . . . . . . . . . . . 6,629 287 10.3 0.4 10,000 375 15.6 0.5 *3,375 *5.3
Some college. . . . . . . . . . . . . . . . . . . . . . . . . . 4,139 209 7.3 0.4 6,053 274 10.7 0.4 *1,914 *3.4
Bachelor’s degree or higher. . . . . . . . . . . . . 3,690 201 4.3 0.2 5,024 220 5.8 0.2 *1,335 *1.4
Tenure
Owner/mortgage . . . . . . . . . . . . . . . . . . . . . . 4,802 304 3.5 0.2 7,726 428 5.6 0.3 *2,923 *2.1
Owner/no mortgage/rent-free. . . . . . . . . . 7,127 363 8.0 0.4 10,970 490 12.0 0.5 *3,842 *4.0
Renter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,650 522 13.5 0.5 22,210 746 22.2 0.6 *8,555 *8.7
Residence³
Inside metropolitan statistical areas . . . . . 22,560 720 7.9 0.2 35,610 941 12.4 0.3 *13,040 *4.5
Inside principal cities. . . . . . . . . . . . . . . . . 10,280 515 9.8 0.4 15,810 644 15.2 0.5 *5,530 *5.4
Outside principal cities. . . . . . . . . . . . . . . 12,290 536 6.8 0.3 19,800 714 10.8 0.3 *7,512 *4.0
Outside metropolitan statistical areas. . . . 3,020 330 7.1 0.6 5,299 484 12.2 0.7 *2,279 *5.1
Region
Northeast . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,285 334 7.6 0.6 6,737 408 11.9 0.7 *2,452 *4.3
Midwest. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,788 273 5.6 0.4 6,189 367 9.1 0.5 *2,401 *3.5
South. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,570 480 8.4 0.4 17,540 604 13.7 0.5 *6,971 *5.3
West. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,943 334 8.9 0.4 10,440 421 13.4 0.5 *3,497 *4.5
Health Insurance Coverage
With private insurance. . . . . . . . . . . . . . . . . 8,308 370 3.8 0.2 12,770 471 5.9 0.2 *4,463 *2.1
With public, no private insurance. . . . . . . . 12,430 437 14.7 0.5 21,130 655 24.1 0.6 *8,695 *9.4
Not insured. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,843 310 17.4 1.0 7,004 377 26.3 1.2 *2,162 *8.9
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 43
Table B-3.
Number and Percentage of People in Poverty Using the Supplemental Poverty Measure:
2021 and 2022—Con.
(Numbers in thousands. Margins of error in thousands or percentage points as appropriate. People as of March of the following
year. Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at
<https://www2.census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
Difference
SPM 2021 SPM 2022
(2022 less 2021)
Characteristic Margin Margin Margin Margin
of error¹ of error¹ of error¹ of error¹
Number (±) Percent (±) Number (±) Percent (±) Number Percent
Work Experience
Total, 18 to 64 years old. . . . . . . . . . 15,750 501 7.9 0.3 23,730 648 11.9 0.3 *7,983 *3.9
All workers. . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,853 249 3.8 0.2 10,230 389 6.6 0.3 *4,381 *2.8
Worked full-time, year-round. . . . . . . . . 2,172 141 2.0 0.1 4,113 213 3.6 0.2 *1,940 *1.6
Less than full-time, year-round. . . . . . . . 3,680 200 8.7 0.5 6,121 291 15.1 0.6 *2,441 *6.4
Did not work . . . . . . . . . . . . . . . . . . . . . . . . . . 9,899 367 21.5 0.7 13,500 462 29.9 0.8 *3,601 *8.4
Disability Status⁴
Total, 18 to 64 years old. . . . . . . . . . 15,750 501 7.9 0.3 23,730 648 11.9 0.3 *7,983 *3.9
With a disability . . . . . . . . . . . . . . . . . . . . . . . 2,536 170 15.8 1.0 3,641 202 23.0 1.1 *1,105 *7.1
With no disability . . . . . . . . . . . . . . . . . . . . . . 13,180 472 7.2 0.3 20,020 588 10.9 0.3 *6,839 *3.7
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
² Federal surveys give respondents the option of reporting more than one race. Therefore, two basic ways of defining a race group are
possible. A group, such as Asian, may be defined as those who reported Asian and no other race (the race-alone or single-race concept) or as
those who reported Asian regardless of whether they also reported another race (the race-alone-or-in-combination concept). This table shows
estimates for the race-alone population and the Two or More Races population. The primary use of the single-race population does not imply that
it is the preferred method of presenting or analyzing data. The Census Bureau presents data on race in a variety of ways. Estimates for Native
Hawaiians and Other Pacific Islanders are not shown separately due to sample size.
³ Information on metropolitan statistical areas and principal cities is available at <www.census.gov/programs-surveys/metro-micro/about/
glossary.html>.
⁴ The sum of those with and without a disability does not equal the total because disability status is not defined for individuals in the
U.S. armed forces.
Note: SPM is the Supplemental Poverty Measure. Details may not sum to totals due to rounding. Estimates may differ from previous publica-
tions due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
44 Poverty in the United States: 2022 U.S. Census Bureau
Table B-4.
Number and Percentage of People in Poverty by Different Poverty Measures: 2022—Con.
(Numbers in thousands. Margins of error in thousands or percentage points as appropriate. People as of March of the following
year. Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at <https://www2.
census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
Difference
Official+ SPM
(SPM – Official+)
Characteristic Margin Margin Margin Margin
of error¹ of error¹ of error¹ of error¹
Total Number (±) Percent (±) Number (±) Percent (±) Number Percent
All people . . . . . . . . . . . . . . . . . . . 330,600 37,980 999 11.5 0.3 40,900 927 12.4 0.3 *2,929 *0.9
Sex
Male . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,400 17,140 514 10.5 0.3 19,460 502 11.9 0.3 *2,320 *1.4
Female. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,200 20,840 588 12.5 0.4 21,450 538 12.8 0.3 *609 *0.4
Age
Under 18 years. . . . . . . . . . . . . . . . . . . . . . . 72,500 10,840 432 14.9 0.6 8,983 371 12.4 0.5 *–1,854 *–2.6
18 to 64 years. . . . . . . . . . . . . . . . . . . . . . . . 200,200 21,240 624 10.6 0.3 23,730 648 11.9 0.3 *2,493 *1.2
65 years and older . . . . . . . . . . . . . . . . . . . 57,880 5,897 258 10.2 0.4 8,187 288 14.1 0.5 *2,290 *4.0
Type of Unit
Married couple. . . . . . . . . . . . . . . . . . . . . . . 196,700 10,710 539 5.4 0.3 14,910 605 7.6 0.3 *4,200 *2.1
Cohabiting partners. . . . . . . . . . . . . . . . . . 28,290 6,708 426 23.7 1.2 3,480 359 12.3 1.2 *–3,228 *–11.4
Female reference person . . . . . . . . . . . . . 41,640 9,389 522 22.5 1.1 9,419 530 22.6 1.1 30 0.1
Male reference person. . . . . . . . . . . . . . . . 16,370 1,631 176 10.0 1.0 2,405 221 14.7 1.2 *774 *4.7
Unrelated individuals. . . . . . . . . . . . . . . . . 47,640 9,540 386 20.0 0.7 10,690 401 22.4 0.7 *1,153 *2.4
Race² and Hispanic Origin
White. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249,200 26,090 791 10.5 0.3 28,520 777 11.4 0.3 *2,438 *1.0
White, not Hispanic . . . . . . . . . . . . . . . . 193,500 16,710 614 8.6 0.3 17,680 587 9.1 0.3 *967 *0.5
Black . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,620 7,637 393 17.1 0.9 7,671 417 17.2 0.9 34 0.1
Asian . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,600 1,866 211 8.6 1.0 2,502 237 11.6 1.1 *636 *2.9
American Indian and Alaska Native. . . . 4,003 998 182 24.9 3.5 930 194 23.2 4.0 –67 –1.7
Two or More Races. . . . . . . . . . . . . . . . . . . 9,711 1,180 144 12.2 1.4 1,106 139 11.4 1.4 –74 –0.8
Hispanic (any race). . . . . . . . . . . . . . . . . . . 63,960 10,790 492 16.9 0.8 12,360 485 19.3 0.8 *1,564 *2.4
Nativity
Native-born . . . . . . . . . . . . . . . . . . . . . . . . . 281,900 31,050 866 11.0 0.3 31,620 811 11.2 0.3 569 0.2
Foreign-born . . . . . . . . . . . . . . . . . . . . . . . . 48,780 6,930 371 14.2 0.7 9,289 426 19.0 0.8 *2,360 *4.8
Naturalized citizen. . . . . . . . . . . . . . . . . 23,940 2,257 162 9.4 0.7 3,237 197 13.5 0.8 *980 *4.1
Not a citizen. . . . . . . . . . . . . . . . . . . . . . . 24,840 4,673 314 18.8 1.1 6,052 358 24.4 1.2 *1,379 *5.6
Educational Attainment
Total, 25 years old and older. . . . 227,700 22,480 615 9.9 0.3 26,530 608 11.7 0.3 *4,051 *1.8
No high school diploma . . . . . . . . . . . . . . 19,530 4,929 258 25.2 1.1 5,446 264 27.9 1.2 *517 *2.6
High school, no college. . . . . . . . . . . . . . . 64,110 8,519 359 13.3 0.5 10,000 375 15.6 0.5 *1,485 *2.3
Some college. . . . . . . . . . . . . . . . . . . . . . . . 56,730 5,286 256 9.3 0.4 6,053 274 10.7 0.4 *768 *1.4
Bachelor’s degree or higher. . . . . . . . . . . 87,310 3,742 186 4.3 0.2 5,024 220 5.8 0.2 *1,282 *1.5
Tenure
Owner/mortgage . . . . . . . . . . . . . . . . . . . . 139,100 5,659 369 4.1 0.3 7,726 428 5.6 0.3 *2,067 *1.5
Owner/no mortgage/rent-free. . . . . . . . 91,680 10,790 556 11.8 0.6 10,970 490 12.0 0.5 182 0.2
Renter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,840 21,530 763 21.6 0.7 22,210 746 22.2 0.6 *680 *0.7
Residence³
Inside metropolitan statistical areas . . . 287,200 31,450 952 11.0 0.3 35,610 941 12.4 0.3 *4,160 *1.4
Inside principal cities. . . . . . . . . . . . . . . 104,000 14,640 653 14.1 0.6 15,810 644 15.2 0.5 *1,171 *1.1
Outside principal cities. . . . . . . . . . . . . 183,100 16,810 711 9.2 0.4 19,800 714 10.8 0.3 *2,988 *1.6
Outside metropolitan statistical areas. . 43,480 6,530 602 15.0 0.9 5,299 484 12.2 0.7 *–1,231 *–2.8
Region
Northeast . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,380 6,085 410 10.8 0.7 6,737 408 11.9 0.7 *652 *1.2
Midwest. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,950 6,665 372 9.8 0.5 6,189 367 9.1 0.5 *–476 *–0.7
South. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,200 16,850 645 13.1 0.5 17,540 604 13.7 0.5 *689 *0.5
West. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,110 8,377 423 10.7 0.5 10,440 421 13.4 0.5 *2,063 *2.6
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 45
Table B-4.
Number and Percentage of People in Poverty by Different Poverty Measures: 2022—Con.
(Numbers in thousands. Margins of error in thousands or percentage points as appropriate. People as of March of the following
year. Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at <https://www2.
census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
Difference
Official+ SPM
(SPM – Official+)
Characteristic Margin Margin Margin Margin
of error¹ of error¹ of error¹ of error¹
Total Number (±) Percent (±) Number (±) Percent (±) Number Percent
Health Insurance Coverage
With private insurance. . . . . . . . . . . . . . . . 216,500 8,961 427 4.1 0.2 12,770 471 5.9 0.2 *3,811 *1.8
With public, no private insurance. . . . . . 87,510 22,660 705 25.9 0.7 21,130 655 24.1 0.6 *–1,534 *–1.8
Not insured. . . . . . . . . . . . . . . . . . . . . . . . . . 26,600 6,353 391 23.9 1.2 7,004 377 26.3 1.2 *651 *2.4
Work Experience
Total, 18 to 64 years old. . . . . . . . 200,200 21,240 624 10.6 0.3 23,730 648 11.9 0.3 *2,493 *1.2
All workers. . . . . . . . . . . . . . . . . . . . . . . . . . 155,100 7,401 307 4.8 0.2 10,230 389 6.6 0.3 *2,833 *1.8
Worked full-time, year-round . . . . . . . . 114,500 2,192 144 1.9 0.1 4,113 213 3.6 0.2 *1,920 *1.7
Less than full-time, year-round. . . . . . . 40,560 5,209 241 12.8 0.5 6,121 291 15.1 0.6 *912 *2.2
Did not work . . . . . . . . . . . . . . . . . . . . . . . . 45,150 13,840 472 30.7 0.9 13,500 462 29.9 0.8 *–340 *–0.8
Disability Status⁴
Total, 18 to 64 years old. . . . . . . . 200,200 21,240 624 10.6 0.3 23,730 648 11.9 0.3 *2,493 *1.2
With a disability . . . . . . . . . . . . . . . . . . . . . 15,860 3,801 205 24.0 1.1 3,641 202 23.0 1.1 *–161 *–1.0
With no disability . . . . . . . . . . . . . . . . . . . . 183,500 17,370 543 9.5 0.3 20,020 588 10.9 0.3 *2,644 *1.4
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
² Federal surveys give respondents the option of reporting more than one race. Therefore, two basic ways of defining a race group are
possible. A group, such as Asian, may be defined as those who reported Asian and no other race (the race-alone or single-race concept) or as
those who reported Asian regardless of whether they also reported another race (the race-alone-or-in-combination concept). This table shows
estimates for the race-alone population and the Two or More Races population. The primary use of the single-race population does not imply that
it is the preferred method of presenting or analyzing data. The Census Bureau presents data on race in a variety of ways. Estimates for Native
Hawaiians and Other Pacific Islanders are not shown separately due to sample size.
³ Information on metropolitan statistical areas and principal cities is available at <www.census.gov/programs-surveys/metro-micro/about/
glossary.html>.
⁴ The sum of those with and without a disability does not equal the total because disability status is not defined for individuals in the
U.S. armed forces.
Note: Official+ includes unrelated individuals under the age of 15. SPM is the Supplemental Poverty Measure. Details may not sum to totals due
to rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2023 Annual Social and Economic Supplement (CPS ASEC).
46 Poverty in the United States: 2022 U.S. Census Bureau
Table B-5.
Number and Percentage of People in Poverty by State Using 3-Year Average:
2020, 2021, and 2022
(Numbers in thousands. Margins of error in thousands or percentage points as appropriate. People as of March of the following
year. Information on confidentiality protection, sampling error, nonsampling error, and definitions is available at <https://www2.
census.gov/programs-surveys/cps/techdocs/cpsmar23.pdf>)
Difference
Official+ SPM
(SPM – Official+)
State
Margin of Margin of Margin of Margin of
Number error¹ (±) Percent error¹ (±) Number error¹ (±) Percent error¹ (±) Number Percent
United States. . . . 37,870 589 11.5 0.2 32,180 491 9.8 0.1 *–5,692 *–1.7
Alabama . . . . . . . . . . . . . 738 77 14.8 1.6 546 74 10.9 1.5 *–192 *–3.9
Alaska. . . . . . . . . . . . . . . . 81 12 11.5 1.6 69 9 9.7 1.3 *–13 *–1.8
Arizona . . . . . . . . . . . . . . 876 92 12.1 1.3 679 84 9.3 1.2 *–197 *–2.7
Arkansas. . . . . . . . . . . . . 475 42 15.9 1.4 314 30 10.5 1.0 *–161 *–5.4
California. . . . . . . . . . . . . 4,439 197 11.4 0.5 5,142 231 13.2 0.6 *703 *1.8
Colorado. . . . . . . . . . . . . 489 87 8.5 1.5 511 55 8.9 1.0 22 0.4
Connecticut . . . . . . . . . . 350 51 9.8 1.4 330 53 9.2 1.5 –20 –0.6
Delaware. . . . . . . . . . . . . 106 15 10.5 1.4 82 12 8.1 1.2 *–24 *–2.3
District of Columbia . . . 98 9 14.7 1.4 98 9 14.8 1.4 Z Z
Florida. . . . . . . . . . . . . . . 2,861 188 13.1 0.9 2,774 155 12.7 0.7 –87 –0.4
Georgia . . . . . . . . . . . . . . 1,391 166 13.0 1.6 1,089 128 10.1 1.2 *–303 *–2.8
Hawaii. . . . . . . . . . . . . . . . 146 20 10.2 1.4 143 17 10.0 1.2 –3 –0.2
Idaho . . . . . . . . . . . . . . . . 170 16 8.9 0.8 108 13 5.7 0.7 *–62 *–3.2
Illinois. . . . . . . . . . . . . . . . 1,174 90 9.4 0.7 983 76 7.9 0.6 *–191 *–1.5
Indiana. . . . . . . . . . . . . . . 739 79 10.9 1.2 491 67 7.3 1.0 *–248 *–3.7
Iowa. . . . . . . . . . . . . . . . . 299 34 9.4 1.1 186 23 5.9 0.8 *–113 *–3.6
Kansas. . . . . . . . . . . . . . . 260 49 9.0 1.7 203 32 7.1 1.1 *–56 *–2.0
Kentucky. . . . . . . . . . . . . 706 81 15.8 1.8 482 63 10.8 1.4 *–223 *–5.0
Louisiana. . . . . . . . . . . . . 765 60 16.9 1.3 492 44 10.9 0.9 *–273 *–6.0
Maine. . . . . . . . . . . . . . . . 122 18 8.9 1.3 63 12 4.6 0.9 *–59 *–4.3
Maryland. . . . . . . . . . . . . 529 71 8.6 1.2 592 76 9.7 1.3 *63 *1.0
Massachusetts . . . . . . . . 589 62 8.5 0.9 573 57 8.3 0.8 –16 –0.2
Michigan . . . . . . . . . . . . . 1,156 113 11.7 1.2 793 86 8.0 0.9 *–363 *–3.7
Minnesota. . . . . . . . . . . . 429 55 7.7 1.0 306 43 5.5 0.8 *–123 *–2.2
Mississippi. . . . . . . . . . . . 518 43 17.8 1.4 364 39 12.5 1.3 *–154 *–5.3
Missouri. . . . . . . . . . . . . . 695 93 11.5 1.5 512 85 8.4 1.4 *–184 *–3.0
Montana. . . . . . . . . . . . . . 118 14 10.7 1.2 94 12 8.5 1.1 *–24 *–2.2
Nebraska. . . . . . . . . . . . . 159 25 8.1 1.3 116 20 5.9 1.0 *–42 *–2.2
Nevada. . . . . . . . . . . . . . . 394 42 12.6 1.3 327 44 10.5 1.4 *–66 *–2.1
New Hampshire. . . . . . . 99 14 7.1 1.0 85 12 6.2 0.9 *–14 *–1.0
New Jersey. . . . . . . . . . . 749 93 8.2 1.0 825 96 9.0 1.0 *76 *0.8
New Mexico. . . . . . . . . . . 382 43 18.2 2.1 214 24 10.2 1.2 *–168 *–8.0
New York. . . . . . . . . . . . . 2,410 156 12.4 0.8 2,321 162 11.9 0.8 –88 –0.5
North Carolina. . . . . . . . 1,407 112 13.3 1.1 1,090 111 10.3 1.0 *–317 *–3.0
North Dakota. . . . . . . . . 73 9 9.6 1.1 51 7 6.7 0.9 *–22 *–2.9
Ohio. . . . . . . . . . . . . . . . . 1,345 118 11.5 1.0 856 89 7.3 0.8 *–489 *–4.2
Oklahoma. . . . . . . . . . . . 620 62 15.8 1.6 389 41 9.9 1.1 *–231 *–5.9
Oregon. . . . . . . . . . . . . . . 399 56 9.5 1.3 312 46 7.4 1.1 *–87 *–2.1
Pennsylvania. . . . . . . . . . 1,368 160 10.8 1.3 978 101 7.7 0.8 *–390 *–3.1
Rhode Island. . . . . . . . . . 95 16 8.8 1.4 62 12 5.7 1.1 *–33 *–3.1
South Carolina. . . . . . . . 693 64 13.3 1.2 494 44 9.5 0.9 *–198 *–3.8
South Dakota. . . . . . . . . 86 22 9.7 2.5 51 9 5.8 1.1 *–34 *–3.9
Tennessee. . . . . . . . . . . . 796 71 11.4 1.0 581 71 8.3 1.0 *–215 *–3.1
Texas. . . . . . . . . . . . . . . . . 4,026 207 13.7 0.7 3,328 169 11.3 0.6 *–698 *–2.4
Utah. . . . . . . . . . . . . . . . . 235 40 7.1 1.2 189 27 5.7 0.8 *–47 *–1.4
Vermont. . . . . . . . . . . . . . 53 7 8.4 1.1 48 7 7.6 1.1 –5 –0.8
Virginia. . . . . . . . . . . . . . . 733 79 8.6 0.9 718 73 8.4 0.8 –15 –0.2
Washington. . . . . . . . . . . 637 97 8.3 1.2 606 76 7.9 1.0 –31 –0.4
West Virginia . . . . . . . . . 274 28 15.6 1.6 177 17 10.1 1.0 *–97 *–5.5
Wisconsin. . . . . . . . . . . . 467 74 8.0 1.3 297 39 5.1 0.7 *–170 *–2.9
Wyoming. . . . . . . . . . . . . 49 6 8.7 1.1 41 4 7.2 0.8 *–9 *–1.5
Footnotes available on next page.
U.S. Census Bureau Poverty in the United States: 2022 47
* An asterisk preceding an estimate indicates change is statistically different from zero at the 90 percent confidence level.
Z Rounds to zero.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
Note: Official+ includes unrelated individuals under the age of 15. SPM is the Supplemental Poverty Measure. Details may not sum to totals due
to rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy. All years
reflect the implementation of 2020 Census-based population controls.
Source: U.S. Census Bureau, Current Population Survey, 2021 to 2023 Annual Social and Economic Supplements (CPS ASEC).
48 Poverty in the United States: 2022 U.S. Census Bureau
Table B-6.
Percentage of People by Ratio of Income/Resources to Poverty Threshold: 2021 and 2022—Con.
(Margins of error in percentage points. People as of March of the following year. Information on confidentiality protection,
sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/
cpsmar23.pdf>)
Less Margin 0.50 Margin 1.00 Margin 1.50 Margin 2.00 Margin 4.00 Margin
Characteristic than of error¹ to of error¹ to of error¹ to of error¹ to of error¹ or of error¹
0.50 (±) 0.99 (±) 1.49 (±) 1.99 (±) 3.99 (±) more (±)
2022
Official+
All people. . . . . . 5.5 0.2 6.0 0.2 7.6 0.2 8.4 0.2 29.7 0.4 42.8 0.5
Age
Under 18 years. . . . . . . . 6.6 0.4 8.3 0.4 10.1 0.5 9.8 0.5 30.5 0.7 34.7 0.7
18 to 64 years. . . . . . . . . 5.4 0.2 5.2 0.2 6.2 0.2 7.5 0.2 29.0 0.4 46.7 0.6
65 years and older. . . . . 4.4 0.3 5.8 0.3 9.5 0.4 9.7 0.4 31.0 0.7 39.6 0.9
Race² and Hispanic
Origin
White. . . . . . . . . . . . . . . . 4.9 0.2 5.5 0.2 7.1 0.2 8.2 0.2 29.5 0.4 44.6 0.5
White, not Hispanic. . 4.2 0.2 4.4 0.2 5.8 0.2 7.1 0.3 28.5 0.4 49.9 0.6
Black. . . . . . . . . . . . . . . . . 8.4 0.7 8.7 0.7 10.9 0.7 10.7 0.8 32.2 1.2 29.1 1.2
Asian . . . . . . . . . . . . . . . . 4.9 0.7 3.7 0.6 5.3 0.7 5.4 0.7 24.3 1.4 56.3 1.6
American Indian and
Alaska Native. . . . . . . . 9.2 2.0 15.8 3.0 13.3 2.6 9.2 2.1 27.5 2.9 25.0 3.3
Two or More Races. . . . 5.9 1.1 6.2 1.0 8.3 1.2 8.4 1.2 33.1 2.1 38.0 2.2
Hispanic (any race). . . . 7.4 0.5 9.5 0.6 11.7 0.6 12.0 0.7 33.1 0.9 26.3 0.8
SPM
All people . . . . . . 4.4 0.2 8.0 0.2 14.7 0.3 14.0 0.3 37.1 0.4 21.9 0.4
Age
Under 18 years. . . . . . . . 3.3 0.3 9.1 0.5 18.9 0.6 16.8 0.6 36.2 0.7 15.7 0.5
18 to 64 years. . . . . . . . . 4.5 0.2 7.3 0.2 13.0 0.3 13.2 0.4 38.1 0.5 23.8 0.4
65 years and older. . . . . 5.2 0.3 8.9 0.4 15.1 0.5 13.0 0.5 34.5 0.7 23.3 0.8
Race² and Hispanic
Origin
White. . . . . . . . . . . . . . . . 4.2 0.2 7.3 0.3 13.7 0.3 13.3 0.3 37.9 0.5 23.7 0.4
White, not Hispanic. . 3.7 0.2 5.4 0.2 10.8 0.3 12.1 0.4 40.3 0.5 27.7 0.5
Black. . . . . . . . . . . . . . . . . 5.5 0.5 11.7 0.8 20.9 1.0 17.1 0.9 32.8 1.2 12.0 0.8
Asian . . . . . . . . . . . . . . . . 4.6 0.7 7.0 0.9 12.1 1.1 12.1 1.2 36.7 1.6 27.5 1.5
American Indian and
Alaska Native. . . . . . . . 5.9 1.6 17.3 3.9 16.9 3.1 18.5 3.4 31.6 3.8 9.8 2.3
Two or More Races. . . . 3.2 0.7 8.2 1.3 15.2 1.5 16.7 1.6 39.8 2.3 16.8 1.4
Hispanic (any race). . . . 5.7 0.5 13.6 0.7 23.7 0.8 17.8 0.7 29.7 0.9 9.4 0.5
2021
Official+
All people . . . . . . 5.5 0.2 6.0 0.2 7.9 0.2 8.2 0.2 28.3 0.4 44.1 0.4
Age
Under 18 years. . . . . . . . 7.2 0.4 8.1 0.4 10.0 0.5 9.6 0.4 29.1 0.7 36.0 0.6
18 to 64 years. . . . . . . . . 5.3 0.2 5.2 0.2 6.7 0.2 7.2 0.2 27.8 0.4 47.8 0.4
65 years and older. . . . . 4.2 0.3 6.1 0.3 9.3 0.4 9.7 0.4 29.1 0.6 41.5 0.8
Race² and Hispanic
Origin
White. . . . . . . . . . . . . . . . 4.8 0.2 5.2 0.2 7.4 0.3 7.9 0.2 28.5 0.5 46.2 0.5
White, not Hispanic. . 3.9 0.2 4.2 0.2 6.0 0.2 6.9 0.3 27.1 0.5 51.8 0.6
Black. . . . . . . . . . . . . . . . . 9.4 0.8 10.2 0.8 11.4 0.7 10.4 0.7 29.0 1.1 29.6 1.0
Asian . . . . . . . . . . . . . . . . 4.9 0.6 4.4 0.7 5.6 0.8 6.4 0.8 23.0 1.3 55.7 1.6
American Indian and
Alaska Native. . . . . . . . 10.3 1.8 13.9 3.0 10.2 2.1 9.3 1.9 31.1 3.5 25.2 3.4
Two or More Races. . . . 6.5 1.2 7.6 1.3 7.7 1.2 8.1 1.1 31.0 2.0 39.1 2.1
Hispanic (any race). . . . 7.9 0.5 9.2 0.6 12.2 0.7 11.2 0.6 32.9 1.0 26.6 0.8
Footnotes available at end of table.
U.S. Census Bureau Poverty in the United States: 2022 49
Table B-6.
Percentage of People by Ratio of Income/Resources to Poverty Threshold: 2021 and 2022—Con.
(Margins of error in percentage points. People as of March of the following year. Information on confidentiality protection,
sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/
cpsmar23.pdf>)
Less Margin 0.50 Margin 1.00 Margin 1.50 Margin 2.00 Margin 4.00 Margin
Characteristic than of error¹ to of error¹ to of error¹ to of error¹ to of error¹ or of error¹
0.50 (±) 0.99 (±) 1.49 (±) 1.99 (±) 3.99 (±) more (±)
SPM
All people . . . . . . 2.9 0.1 4.9 0.2 11.6 0.3 14.6 0.3 40.2 0.4 25.9 0.3
Age
Under 18 years. . . . . . . . 1.4 0.2 3.8 0.3 12.1 0.5 19.3 0.6 44.1 0.7 19.3 0.5
18 to 64 years. . . . . . . . . 3.1 0.2 4.8 0.2 10.9 0.3 13.3 0.3 40.3 0.5 27.6 0.4
65 years and older. . . . . 4.1 0.3 6.6 0.3 13.7 0.5 12.9 0.5 34.6 0.8 28.1 0.7
Race² and Hispanic
Origin
White. . . . . . . . . . . . . . . . 2.6 0.1 4.3 0.2 10.5 0.3 13.6 0.3 40.7 0.5 28.2 0.4
White, not Hispanic. . 2.4 0.1 3.3 0.2 8.1 0.3 11.4 0.4 41.8 0.5 33.1 0.5
Black. . . . . . . . . . . . . . . . . 3.8 0.4 7.5 0.6 17.6 0.8 20.0 0.9 37.3 1.2 13.7 0.9
Asian . . . . . . . . . . . . . . . . 4.0 0.6 5.4 0.8 11.0 1.1 12.6 1.2 38.1 1.7 28.9 1.3
American Indian and
Alaska Native. . . . . . . . 4.1 1.2 8.3 2.2 16.2 2.8 18.0 2.8 38.9 3.3 14.4 2.6
Two or More Races. . . . 3.2 0.8 4.1 0.9 13.6 1.5 15.9 1.5 44.2 2.1 19.0 1.6
Hispanic (any race). . . . 3.4 0.3 7.8 0.5 19.1 0.8 21.6 0.8 37.2 1.1 10.9 0.5
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
² Federal surveys give respondents the option of reporting more than one race. Therefore, two basic ways of defining a race group are
possible. A group, such as Asian, may be defined as those who reported Asian and no other race (the race-alone or single-race concept) or as
those who reported Asian regardless of whether they also reported another race (the race-alone-or-in-combination concept). This table shows
estimates for the race-alone population and the Two or More Races population. The primary use of the single-race population does not imply that
it is the preferred method of presenting or analyzing data. The Census Bureau presents data on race in a variety of ways. Estimates for Native
Hawaiians and Other Pacific Islanders are not shown separately due to sample size.
Note: Official+ includes unrelated individuals under the age of 15. SPM is the Supplemental Poverty Measure. Details may not sum to totals due
to rounding. Estimates may differ from previous publications due to additional rounding implemented to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
50 Poverty in the United States: 2022 U.S. Census Bureau
Table B-7.
Effect of Individual Elements on Supplemental Poverty Measure Rates: 2021 and 2022—Con.
(Margins of error in percentage points. People as of March of the following year. Information on confidentiality protection,
sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/
cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and older
Element Margin of Margin of Margin of Margin of
Estimate error¹ (±) Estimate error¹ (±) Estimate error¹ (±) Estimate error¹ (±)
2022
All people . . . . . . . . . . . . . 12.37 0.28 12.39 0.51 11.85 0.33 14.14 0.50
ADDITIONS
Social Security . . . . . . . . . . . . . . –8.75 0.19 –1.87 0.22 –3.73 0.17 –34.72 0.67
Refundable tax credits² . . . . . . –1.94 0.14 –4.86 0.35 –1.40 0.10 –0.16 0.05
SNAP³ and school lunch . . . . . . –1.54 0.12 –3.05 0.29 –1.21 0.10 –0.82 0.10
SNAP³ . . . . . . . . . . . . . . . . . . . . . –1.11 0.10 –1.94 0.23 –0.91 0.09 –0.78 0.10
Housing subsidies . . . . . . . . . . . –0.80 0.07 –1.09 0.16 –0.59 0.06 –1.15 0.14
SSI³ . . . . . . . . . . . . . . . . . . . . . . . . –0.76 0.07 –0.40 0.10 –0.86 0.09 –0.88 0.11
Refundable Child Tax Credit . . –0.72 0.09 –1.95 0.26 –0.48 0.06 –0.03 0.02
School lunch . . . . . . . . . . . . . . . . –0.44 0.07 –1.14 0.20 –0.30 0.05 –0.02 0.02
TANF/general assistance³ . . . . –0.17 0.04 –0.39 0.10 –0.13 0.03 –0.04 0.02
Child support received . . . . . . . –0.17 0.04 –0.47 0.12 –0.10 0.02 –0.01 0.01
Unemployment insurance . . . . –0.12 0.03 –0.16 0.05 –0.13 0.03 –0.05 0.03
Utility assistance⁴ . . . . . . . . . . . . –0.08 0.02 –0.06 0.03 –0.07 0.02 –0.11 0.04
Energy assistance . . . . . . . . . . . –0.06 0.02 –0.05 0.03 –0.05 0.02 –0.08 0.03
Workers’ compensation . . . . . . –0.05 0.02 –0.07 0.03 –0.06 0.03 –0.02 0.02
WIC³ . . . . . . . . . . . . . . . . . . . . . . . –0.05 0.02 –0.13 0.07 –0.03 0.02 0.00 0.00
Broadband assistance . . . . . . . . –0.02 0.01 –0.01 0.01 –0.02 0.01 –0.02 0.02
SUBTRACTIONS
Child support paid . . . . . . . . . . . 0.08 0.02 0.10 0.04 0.09 0.03 0.03 0.02
Federal income tax . . . . . . . . . . 0.33 0.05 0.19 0.06 0.43 0.06 0.12 0.04
Work expenses . . . . . . . . . . . . . . 1.10 0.10 1.56 0.21 1.16 0.11 0.34 0.09
FICA³ . . . . . . . . . . . . . . . . . . . . . . 1.23 0.10 1.58 0.19 1.35 0.11 0.37 0.09
Medical expenses . . . . . . . . . . . . 2.16 0.11 1.89 0.18 1.83 0.13 3.62 0.26
2021
All people . . . . . . . . . . . . . 7.78 0.22 5.21 0.36 7.91 0.25 10.68 0.42
ADDITIONS
Social Security . . . . . . . . . . . . . . –8.01 0.19 –1.45 0.18 –3.61 0.16 –32.19 0.77
Refundable tax credits² . . . . . . –2.93 0.16 –6.66 0.41 –2.28 0.13 –0.37 0.07
Economic Impact/stimulus⁵ . . . –2.71 0.14 –3.09 0.27 –2.48 0.15 –3.01 0.24
SNAP³ and school lunch . . . . . . –1.04 0.08 –1.62 0.19 –0.95 0.08 –0.61 0.09
SNAP³ . . . . . . . . . . . . . . . . . . . . . –0.85 0.07 –1.21 0.16 –0.80 0.08 –0.58 0.09
Housing subsidies . . . . . . . . . . . –0.73 0.06 –0.81 0.13 –0.60 0.07 –1.10 0.13
SSI³ . . . . . . . . . . . . . . . . . . . . . . . . –0.84 0.06 –0.39 0.08 –0.94 0.08 –1.04 0.14
Refundable Child Tax Credit⁶ . –1.63 0.13 –3.97 0.33 –1.16 0.09 –0.19 0.04
School lunch . . . . . . . . . . . . . . . . –0.17 0.04 –0.37 0.08 –0.14 0.03 –0.03 0.02
TANF/general assistance³ . . . . –0.09 0.03 –0.15 0.06 –0.08 0.03 –0.03 0.02
Child support received . . . . . . . –0.09 0.03 –0.19 0.06 –0.08 0.03 Z 0.01
Unemployment insurance . . . . –0.70 0.08 –0.71 0.12 –0.79 0.10 –0.35 0.09
Utility assistance⁴ . . . . . . . . . . . . –0.05 0.02 –0.05 0.02 –0.04 0.02 –0.10 0.05
Energy assistance . . . . . . . . . . . –0.05 0.02 –0.04 0.02 –0.04 0.02 –0.07 0.04
Workers’ compensation . . . . . . –0.04 0.01 –0.02 0.02 –0.06 0.02 –0.02 0.01
WIC³ . . . . . . . . . . . . . . . . . . . . . . . –0.02 0.02 –0.05 0.04 –0.02 0.01 0.00 0.00
Broadband assistance . . . . . . . . –0.01 Z Z Z Z Z –0.02 0.02
Footnotes available at end of table
U.S. Census Bureau Poverty in the United States: 2022 51
Table B-7.
Effect of Individual Elements on Supplemental Poverty Measure Rates: 2021 and 2022—Con.
(Margins of error in percentage points. People as of March of the following year. Information on confidentiality protection,
sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/techdocs/
cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and older
Element Margin of Margin of Margin of Margin of
Estimate error¹ (±) Estimate error¹ (±) Estimate error¹ (±) Estimate error¹ (±)
SUBTRACTIONS
Child support paid . . . . . . . . . . . 0.07 0.02 0.04 0.03 0.09 0.03 0.01 0.01
Federal income tax . . . . . . . . . . 0.23 0.04 0.17 0.05 0.29 0.05 0.14 0.06
Work expenses . . . . . . . . . . . . . . 0.66 0.07 0.58 0.11 0.81 0.08 0.21 0.06
FICA³ . . . . . . . . . . . . . . . . . . . . . . 0.59 0.07 0.51 0.11 0.73 0.08 0.19 0.06
Medical expenses . . . . . . . . . . . . 1.42 0.09 0.79 0.12 1.27 0.11 2.78 0.24
Z Rounds to zero.
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
² In 2022, the refundable tax credits included the Earned Income Tax Credit (EITC) and the refundable portion of the Child Tax Credit. In 2021,
refundable tax credits included the Earned Income Tax Credit (EITC), Child Tax Credit, and the Child and Dependent Care Credit.
³ SNAP is the Supplemental Nutrition Assistance Program; SSI is Supplemental Security Income; TANF is Temporary Assistance for Needy
Families; WIC is the Special Supplemental Nutrition Program for Women, Infants, and Children; FICA is the Federal Insurance Contributions Act.
⁴ Utility assistance includes the Affordable Connectivity Program and other energy noncash benefits.
⁵ Includes third round of stimulus payment only. Additional details are provided in the Supplemental Poverty Measure technical documentation
available at <https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>.
⁶ In 2021, the entire Child Tax Credit was refundable.
Note: Details may not sum to totals due to rounding. Estimates may differ from previous publications due to additional rounding implemented
to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
52 Poverty in the United States: 2022 U.S. Census Bureau
Table B-8.
Effect of Individual Elements on the Number of Individuals in Poverty Using the Supplemental
Poverty Measure: 2021 and 2022—Con.
(Numbers and margins of error in thousands. People as of March of the following year. Information on confidentiality protec-
tion, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/tech-
docs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and older
Element Margin of Margin of Margin of Margin of
Number error¹ (±) Number error¹ (±) Number error¹ (±) Number error¹ (±)
2022
All people . . . . . . . . . . . . . . 40,900 927 8,983 371 23,730 648 8,187 288
ADDITIONS
Social Security . . . . . . . . . . . . . . . –28,930 617 –1,353 156 –7,475 345 –20,100 391
Refundable tax credits² . . . . . . . –6,417 447 –3,521 257 –2,804 210 –92 31
SNAP³ and school lunch . . . . . . –5,104 394 –2,209 211 –2,422 197 –473 59
SNAP³ . . . . . . . . . . . . . . . . . . . . . . –3,670 326 –1,407 169 –1,813 176 –450 57
Housing subsidies . . . . . . . . . . . . –2,641 232 –791 116 –1,184 123 –667 79
SSI³ . . . . . . . . . . . . . . . . . . . . . . . . . –2,522 233 –291 72 –1,720 182 –511 66
Refundable Child Tax Credit . . . –2,392 296 –1,411 189 –963 117 –18 12
School lunch . . . . . . . . . . . . . . . . . –1,449 238 –828 143 –607 104 –14 10
TANF/general assistance³ . . . . . –570 121 –286 71 –261 64 –23 13
Child support received . . . . . . . . –551 116 –338 84 –209 46 –5 5
Unemployment insurance . . . . . –404 95 –116 39 –256 67 –32 17
Utility assistance⁴ . . . . . . . . . . . . –254 64 –46 23 –144 48 –65 23
Energy assistance . . . . . . . . . . . . –190 57 –34 23 –108 43 –48 20
Workers’ compensation . . . . . . . –178 66 –49 25 –116 51 –12 10
WIC³ . . . . . . . . . . . . . . . . . . . . . . . . –164 81 –98 48 –66 36 0 0
Broadband assistance . . . . . . . . –53 31 –10 9 –34 24 –9 9
SUBTRACTIONS
Child support paid . . . . . . . . . . . . 258 82 69 31 174 53 15 13
Federal income tax . . . . . . . . . . . 1,077 159 139 44 871 129 67 22
Work expenses . . . . . . . . . . . . . . . 3,641 327 1,130 149 2,316 211 195 50
FICA³ . . . . . . . . . . . . . . . . . . . . . . . 4,062 338 1,143 139 2,707 227 212 50
Medical expenses . . . . . . . . . . . . . 7,129 380 1,373 132 3,660 257 2,095 152
2021
All people . . . . . . . . . . . . . . 25,580 718 3,829 264 15,750 501 6,003 238
ADDITIONS
Social Security . . . . . . . . . . . . . . . –26,340 616 –1,065 134 –7,183 325 –18,090 432
Refundable tax credits² . . . . . . . –9,635 530 –4,893 300 –4,536 257 –206 40
Economic Impact/stimulus⁵ . . . . –8,900 473 –2,270 201 –4,939 299 –1,690 134
SNAP³ and school lunch . . . . . . –3,415 263 –1,188 142 –1,883 153 –343 52
SNAP³ . . . . . . . . . . . . . . . . . . . . . . –2,805 243 –891 120 –1,589 151 –325 50
Housing subsidies . . . . . . . . . . . . –2,411 213 –595 96 –1,200 130 –616 72
SSI³ . . . . . . . . . . . . . . . . . . . . . . . . . –2,747 208 –288 60 –1,874 155 –585 76
Refundable Child Tax Credit⁶ . . –5,343 411 –2,919 240 –2,315 187 –108 25
School lunch . . . . . . . . . . . . . . . . . –571 119 –271 57 –285 66 –15 12
TANF/general assistance³ . . . . . –284 94 –109 45 –161 51 –15 11
Child support received . . . . . . . . –308 91 –140 46 –165 52 –2 4
Unemployment insurance . . . . . –2,292 264 –525 90 –1,569 194 –198 51
Utility assistance⁴ . . . . . . . . . . . . –178 60 –34 15 –87 36 –56 26
Energy assistance . . . . . . . . . . . . –149 54 –32 15 –77 33 –41 21
Workers’ compensation . . . . . . . –138 45 –11 12 –117 41 –10 8
WIC³ . . . . . . . . . . . . . . . . . . . . . . . . –81 52 –39 26 –41 29 0 0
Broadband assistance . . . . . . . . –20 15 –2 2 –8 8 –10 9
Footnotes available at end of table
U.S. Census Bureau Poverty in the United States: 2022 53
Table B-8.
Effect of Individual Elements on the Number of Individuals in Poverty Using the Supplemental
Poverty Measure: 2021 and 2022—Con.
(Numbers and margins of error in thousands. People as of March of the following year. Information on confidentiality protec-
tion, sampling error, nonsampling error, and definitions is available at <https://www2.census.gov/programs-surveys/cps/tech-
docs/cpsmar23.pdf>)
All people Under 18 years 18 to 64 years 65 years and older
Element Margin of Margin of Margin of Margin of
Number error¹ (±) Number error¹ (±) Number error¹ (±) Number error¹ (±)
SUBTRACTIONS
Child support paid . . . . . . . . . . . . 215 63 27 20 180 53 7 7
Federal income tax . . . . . . . . . . . 770 131 122 40 571 101 77 32
Work expenses . . . . . . . . . . . . . . . 2,157 219 424 81 1,614 157 118 35
FICA³ . . . . . . . . . . . . . . . . . . . . . . . 1,937 226 373 83 1,458 164 106 33
Medical expenses . . . . . . . . . . . . . 4,678 302 582 91 2,532 211 1,565 133
¹ A margin of error (MOE) is a measure of an estimate’s variability. The larger the MOE in relation to the size of the estimate, the less reliable
the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. MOEs shown in this table
are based on standard errors calculated using replicate weights.
² In 2022, the refundable tax credits included the Earned Income Tax Credit (EITC) and the refundable portion of the Child Tax Credit. In 2021,
refundable tax credits included the Earned Income Tax Credit (EITC), Child Tax Credit, and the Child and Dependent Care Credit.
³ SNAP is the Supplemental Nutrition Assistance Program; SSI is Supplemental Security Income; TANF is Temporary Assistance for Needy
Families; WIC is the Special Supplemental Nutrition Program for Women, Infants, and Children; FICA is the Federal Insurance Contributions Act.
⁴ Utility assistance includes the Affordable Connectivity Program and other energy noncash benefits.
⁵ Includes third round of stimulus payment only. Additional details are provided in the Supplemental Poverty Measure technical documenta-
tion available at <https://www2.census.gov/programs-surveys/supplemental-poverty-measure/datasets/spm/spm_techdoc.pdf>.
⁶ In 2021, the entire Child Tax Credit was refundable.
Note: Details may not sum to totals due to rounding. Estimates may differ from previous publications due to additional rounding implemented
to protect respondent privacy.
Source: U.S. Census Bureau, Current Population Survey, 2022 and 2023 Annual Social and Economic Supplements (CPS ASEC).
54 Poverty in the United States: 2022 U.S. Census Bureau
APPENDIX C. ADDITIONAL INFORMATION
SOURCE AND ACCURACY OF civilian adult, regardless of whether data collection faced extraordi-
THE ESTIMATES they live off post or on post. All nary circumstances due to the
The Current Population Survey other armed forces personnel are onset of the COVID-19 pandemic;
(CPS) is the longest-running survey excluded. The estimates in this the Census Bureau suspended
conducted by the Census Bureau. report are controlled to March in-person interviews and closed
The CPS is a household survey pri- 2023 independent national popu- telephone contact centers. The
marily used to collect employment lation estimates by age, sex, race, response rate for the CPS basic
data. The sample universe for the and Hispanic origin. Beginning with household survey was 73 percent
basic CPS consists of the resident 2020, population estimates are in March 2020, from 82 percent in
civilian, noninstitutionalized popu- based on 2020 Census population March 2019. Prepandemic response
lation of the United States. People counts and are updated annually rates were regularly above 80
in institutions, such as prisons, after accounting for births, deaths, percent.
long-term care hospitals, and nurs- emigration, and immigration.
Standard collection procedures,
ing homes are not eligible to be The estimates in this report (which including in-person interviews, have
interviewed in the CPS. Students may be shown in text, figures, and since resumed, but response rates
living in dormitories are included tables) are based on responses remain suppressed relative to the
in the estimates only if information from a sample of the population prepandemic trend. The response
about them is reported in an inter- and may differ from actual values rate for the CPS basic household
view at their parents’ home. Since because of sampling variability or survey declined from 72 percent
the CPS is a household survey, other factors. As a result, apparent in March 2022 to 69 percent in
people who are homeless and not differences between the estimates March 2023. Since the response
living in shelters are not included in for two or more groups may not be rates remain below prepandemic
the sample. statistically significant. All compar- levels, it is important to examine
The CPS Annual Social and ative statements have undergone how respondents differ from
Economic Supplement (CPS statistical testing and are statisti- nonrespondents, as this difference
ASEC), which estimates in this cally significant at the 90 percent could affect estimates. Using
report are based on, collects data confidence level unless otherwise administrative data, Census Bureau
in February, March, and April noted. researchers have documented
each year, asking detailed ques- that nonrespondents in the 2020
In this report, the variances of
tions categorizing income into to 2023 surveys are less similar to
estimates were calculated using
over 50 sources. The key purpose respondents than in earlier years.
replication methods. For estimates
of the survey is to provide timely Notably, respondents from 2020 to
prior to 2010, or as noted in histori-
and comprehensive estimates 2023 had relatively higher income
cal tables, the Generalized Variance
of income, poverty, and health than nonrespondents. For more
Function (GVF) method was used.
insurance and to measure change details on how sample differences
More Information on replicate
in these national-level estimates. and the associated nonresponse
weights, standard errors, income
The survey is the official source of bias impact income and official
top-coding and data swapping on
national poverty estimates cal- poverty estimates, refer to <www.
the public-use file, and changes to
culated in accordance with the census.gov/newsroom/blogs/
the CPS ASEC data file from the
OMB’s Statistical Policy Directive 14 research-matters/2023/09/using-
prior year is available at <https://
(Appendix A). administrative-data-nonresponse-
www2.census.gov/programs-sur-
cps-asec.html>. The effects of data
The CPS ASEC collects data in veys/cps/techdocs/cpsmar23.pdf>.
collection issues on 2020 health
the 50 states and the District of insurance coverage estimates are
COVID-19 and Nonresponse Bias in
Columbia; these data do not repre- detailed in this working paper:
the CPS ASEC
sent residents of Puerto Rico or the <https://www.census.gov/library/
U.S. Island Areas.1 The 2023 CPS The Census Bureau administers working-papers/2020/demo/
ASEC sample consists of about the CPS ASEC each year between SEHSD-WP2020-13.html>.
89,000 addresses. The CPS ASEC February and April by telephone
includes military personnel who live and in-person interviews, with most
in a household with at least one data collected in March. In 2020,
U.S. Census Bureau Poverty in the United States: 2022 55
National Experimental Well-Being
Statistics (NEWS) Project Business Cycles—Recessions
The NEWS project is a new Peak month Year Trough month Year
experimental project to develop November 1948 October 1949
improved estimates of income, July 1953 May 1954
poverty, and other measures of
August 1957 April 1958
economic well-being. Using all
available survey, administrative, April 1960 February 1961
and commercial data, researchers December 1969 November 1970
in the Social, Economic, and November 1973 March 1975
Housing Statistics Division strive January 1980 July 1980
to provide the best possible
July 1981 November 1982
estimates of our nation’s economy.
The NEWS project issued its July 1990 March 1991
first release in February 2023. March 2001 November 2001
The release included a working December 2007 June 2009
paper which provided improved
February 2020 April 2020
estimates of income and official
Source: National Bureau of Economic Research, <www.nber.org/
poverty statistics for 2018 by research/data/us-business-cycle-expansions-and-contractions>.
addressing several possible
sources of bias documented in
prior research, including (1) unit
nonresponse through improved intends to release additional years ACCESSING POVERTY DATA
weights, (2) missing income of statistics, produce more timely
information in both survey and estimates, and extend the income Additional CPS ASEC Estimates
administrative data through concepts measured. Additional estimates from the CPS
improved imputation, and (3) ASEC are available on the Census
misreporting by combining or BUSINESS CYCLES— Bureau’s poverty websites. This
replacing survey responses RECESSIONS includes detailed tables, historical
with administrative information. Business cycle peaks and troughs tables, press releases, briefings,
Reducing survey error using these used to delineate the beginning and working papers. The websites
techniques substantially affects and end of recessions, as shown may be accessed through the
key measures of well-being. With in the text box “Business Cycles— Census Bureau’s home page at
this initial set of experimental Recessions,” are determined by <www.census.gov> or directly
estimates, median household the National Bureau of Economic at <www.census.gov/topics/
income was found to be 6.3 Research (NBER), a private income-poverty/poverty.html> and
percent higher than in survey research organization. The data <www.census.gov/topics/income-
estimates, and official poverty points in the time-series figures poverty/supplemental-poverty-
was 1.1 percentage points lower. in this report use July as a measure.html>.
These changes were driven by reference. According to the NBER
subpopulations for which survey chronology, the most recent peak Public-Use Microdata
error was particularly relevant. For occurred in February 2020. The Public-use CPS ASEC microdata is
householders aged 65 and older, most recent trough occurred in available for data users of all skill
median household income was April 2020. More information on levels.
27.3 percent higher than in survey business cycle dating is available
estimates. For people 65 and at <www.nber.org/research/ Data users can create custom
over, poverty was 3.3 percentage business-cycle-dating>. statistics from public use
points lower than the survey microdata files using the Microdata
estimates. The NEWS project Access Tool (MDAT) available at
<https://data.census.gov/mdat>.
56 Poverty in the United States: 2022 U.S. Census Bureau
Microdata for the 2023 CPS ASEC OTHER SOURCES OF Small Area Income and Poverty
and earlier years are available POVERTY DATA Estimates
online at <www.census.gov/data/
Since the CPS ASEC produces The SAIPE program uses statistical
datasets/time-series/demo/
thorough and timely estimates models to produce estimates of
cps/cps-asec.html>. Technical
of poverty, the Census Bureau median household income and
methods have been applied to
recommends that people use it poverty for states and all counties,
CPS microdata to avoid disclosing
for national estimates. However, as well as population and poverty
respondents’ identities.
the Census Bureau produces estimates for school districts.
The Census Data Application other data that are appropriate Statistics from the SAIPE program
Programming Interface (API) gives for subnational areas and that are used by the Department of
the public access to raw statistical can be used for longitudinal Education to allocate funding
data from various Census Bureau analysis. The American Community under Title 1 of the Elementary and
data programs. It is an efficient Survey (ACS) and the Small Area Secondary Education Act. SAIPE
way to query data directly from Income and Poverty Estimates methodology combines data from
Census Bureau servers. The (SAIPE) program can be used for a variety of sources, including
historical poverty data found in subnational poverty estimates, administrative records, population
HSTPOV2 are available in the while the Survey of Income and estimates, the decennial census,
API at <www.census.gov/data/ Program Participation (SIPP) and the ACS to provide consistent
developers/data-sets/Poverty- provides monthly and longitudinal and reliable single-year estimates
Statistics.html>.2 The table is also estimates. for all counties and school
available at <https://data.census. districts regardless of size each
gov/>. American Community Survey year. In general, SAIPE estimates
have lower variances than
The ACS is an ongoing survey
CPS ASEC Public Use Disclosure ACS estimates but offer fewer
that collects comprehensive
Avoidance demographic details than the ACS.
information on social, economic,
Estimates from this program are
Starting in January 2023, the and housing topics. Due to
available at <www.census.gov/
monthly CPS began implementing its large sample size, the ACS
programs-surveys/saipe.html>.
changes to provide additional provides estimates at many levels
confidentiality protection to the of geography and for smaller
Survey of Income and Program
data. As part of these changes, population groups.
Participation
geographies with populations
The Census Bureau presents
between 100,000 and 249,000 are The SIPP provides both monthly
annual estimates of poverty by
partially synthesized for privacy and longitudinal data about labor
state and other smaller geographic
protection. Refer to <https:// force participation and income
units based on data collected in
www2.census.gov/programs- sources and amounts at the
the ACS. Single-year estimates
surveys/cps/methodology/ individual, family, and household
from the ACS are available for
improving-disclosure-avoidance- level by following the same
geographic units with populations
puf-v2.pdf> for more details. This respondents over time. Whereas
of 65,000 or more. Estimates
synthesis only affects the public the CPS ASEC provides reliable
of income and poverty for all
use file. More information on estimates of the net change
geographic units, including census
the effect of these changes on from one year to the next in the
tracts and block groups, are
SPM estimates generated from overall distribution of economic
available by pooling 5 years of
the public use file can be found characteristics for the whole
ACS data. Poverty estimates from
at <www.census.gov/library/ population, it cannot show how
the ACS are available at <https://
working-papers/2023/demo/ these characteristics change
data.census.gov>.
SEHSD-WP-2023-25.html>. for the same person, family, or
U.S. Census Bureau Poverty in the United States: 2022 57
household. By collecting monthly Service Center at 1-800-923-8282 ENDNOTES
data for the same respondents (toll-free) or search your topic of 1
U.S. Island Areas include American
over multiple years, the SIPP interest using the Census Bureau’s Samoa, Guam, the Commonwealth of the
Northern Mariana Islands, and the U.S. Virgin
makes it possible to observe “Question and Answer Center” Islands.
how economic characteristics found at <https://ask.census.gov/>. ² An Excel version of HSTPOV2 can
be found at <https://www2.census.gov/
change at the individual level. This programs-surveys/cps/tables/time-series/
The Census Bureau also welcomes
yields insights into the dynamic historical-poverty-people/hstpov2.xlsx>
the comments and advice of
nature of these experiences, as
data and report users. If you have
well as the economic mobility
suggestions or comments on this
of U.S. residents. Estimates from
report, please write to:
these data are available in table
packages, working papers, and Liana E. Fox
the Census Bureau’s P70 series Assistant Division Chief for
reports, all available at <www. Economic Characteristics
census.gov/programs-surveys/ Social, Economic, and Housing
sipp/library/publications.html>. Statistics Division
U.S. Census Bureau
QUESTIONS AND COMMENTS Washington, DC 20233-8500
For questions and assistance
Or email
with poverty data, contact the
<liana.e.fox@census.gov>.
U.S. Census Bureau Customer
58 Poverty in the United States: 2022 U.S. Census Bureau
P60-280
U.S. Department of Commerce FIRST-CLASS MAIL
U.S. CENSUS BUREAU POSTAGE & FEES PAID
Washington, DC 20233 U.S. Census Bureau
Poverty in the United States: 2022
OFFICIAL BUSINESS Permit No. G-58
Penalty for Private Use $300
Current Population Reports
U.S. Census Bureau
File and source
- File
- census-p60-280-spm-2022.pdf
- Size
- 2,724,508 bytes
- SHA-256
- 6c5d9798c31150da219cbb3cf35d478cb246e1d874eaf05f0b511336fb3b4537
- Our copy
- census-p60-280-spm-2022.pdf
- Original
- www.census.gov