Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Economic News Release
PRINT:Print
CPS CPS Program Links

Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (ET) Tuesday, October 18, 2022                             USDL-22-2036

Technical information:  (202) 691-6378  *  cpsinfo@bls.gov  *  www.bls.gov/cps
Media contact:          (202) 691-5902  *  PressOffice@bls.gov


                    USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS
                                     THIRD QUARTER 2022


Median weekly earnings of the nation's 120.2 million full-time wage and salary workers
were $1,070 in the third quarter of 2022 (not seasonally adjusted), the U.S. Bureau of
Labor Statistics reported today. This was 6.9 percent higher than a year earlier,
compared with a gain of 8.3 percent in the Consumer Price Index for All Urban Consumers
(CPI-U) over the same period. 

Data on usual weekly earnings are collected as part of the Current Population Survey, a
nationwide sample survey of households in which respondents are asked, among other things,
how much each wage and salary worker usually earns. (See the Technical Note in this news
release.) Data shown in this news release are not seasonally adjusted unless otherwise
specified. 

Highlights from the third-quarter data: 

 --Median weekly earnings of full-time workers were $1,070 in the third quarter of 2022.
   Women had median weekly earnings of $971, or 83.4 percent of the $1,164 median for men.
   (See table 2.) 

 --The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 83.1
   percent as much as their male counterparts, compared with 90.0 percent for Black women,
   71.1 percent for Asian women, and 86.1 percent for Hispanic women. (See table 2.) 

 --Among the major race and ethnicity groups, median weekly earnings of Blacks ($881) and
   Hispanics ($861) working full-time jobs were lower than those of Whites ($1,101) and
   Asians ($1,442). By sex, median weekly earnings for Black men were $922, or 77.3 percent
   of the median for White men ($1,192). Median earnings for Hispanic men were $908, or 
   76.2 percent of the median for White men. The difference was less among women, as Black
   women's median earnings were $830, or 83.8 percent of those for White women ($990), and
   earnings for Hispanic women were $782, or 79.0 percent of those for White women. Earnings
   of Asian men ($1,656) and women ($1,177) were higher than those of their White counterparts.
   (See table 2.) 

 --By age, usual weekly earnings were highest for men ages 35 to 64: median weekly earnings 
   were $1,299 for men ages 35 to 44, $1,398 for men ages 45 to 54, and $1,346 for men ages
   55 to 64. Among women, usual weekly earnings were highest for workers ages 35 to 54: median
   weekly earnings were $1,086 for women ages 35 to 44 and $1,071 for women ages 45 to 54. Men
   and women ages 16 to 24 had the lowest median weekly earnings, $713 and $639, respectively.
   Men's and women's earnings were closer among younger workers than older workers; for example,
   women ages 16 to 24 earned 89.6 percent as much as men in the same age group, while the 
   women's-to-men's earnings ratio was 74.9 percent for those age 55 and over. (See table 3.) 

 --Among the major occupational groups, persons employed full time in management, professional,
   and related occupations had the highest median weekly earnings--$1,735 for men and $1,296
   for women. Men employed in service occupations earned the least at $770. Women who worked in
   service occupations ($659) and natural resources, construction, and maintenance occupations 
   ($645) earned the least. (See table 4.)

 --By educational attainment, full-time workers age 25 and over without a high school diploma
   had median weekly earnings of $692, compared with $866 for high school graduates (no college)
   and $1,556 for those holding at least a bachelor's degree. Among college graduates with
   advanced degrees (master's, professional, and doctoral degrees), the highest earning 10 
   percent of male workers made $4,527 or more per week, compared with $3,165 or more for their
   female counterparts. (See table 5.) 

 --Seasonally adjusted median weekly earnings increased to $1,068 in the third quarter of 2022,
   up from the previous quarter ($1,045). (See table 1.)


 __________________________________________________________________________________________
|											   |
|              Revision of Seasonally Adjusted Usual Weekly Earnings Data		   |
|											   |
| The Usual Weekly Earnings news release for the fourth quarter of 2022, scheduled for	   |
| release in January 2023, will incorporate annual revisions to seasonally adjusted data   |
| for the number of full-time wage and salary workers and median weekly earnings in 	   |
| current dollars. (See table 1.) Estimates for constant (1982-84) dollar median weekly	   |
| earnings also will be affected by revisions to the current dollar series. Seasonally	   |
| adjusted estimates back to the first quarter of 2018 will be subject to revision.	   |
|__________________________________________________________________________________________|




Technical Note


   The estimates in this release were obtained from the Current Population Survey (CPS),
which provides basic information on the labor force, employment, and unemployment. The
survey is conducted monthly for the Bureau of Labor Statistics (BLS) by the U.S. Census
Bureau using a scientifically selected national sample of about 60,000 eligible 
households, with coverage in all 50 states and the District of Columbia. The earnings
data are collected from one-fourth of the CPS monthly sample and are limited to wage 
and salary workers. All self-employed workers, both incorporated and unincorporated, 
are excluded from CPS earnings estimates.

   If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to
access telecommunications relay services or the information voice phone at: 
(202) 691-5200. This news release is in the public domain and may be reproduced 
without permission.

Definitions

   The principal definitions used in connection with the earnings data in this news
release are described briefly below.

   Usual weekly earnings. Data represent earnings before taxes and other deductions
and include any overtime pay, commissions, or tips usually received (at the main job
in the case of multiple jobholders). Prior to 1994, respondents were asked how much 
they usually earned per week. Since January 1994, respondents have been asked to 
identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice
monthly, monthly, annually, or other) and how much they usually earn in the reported 
time period.

   Earnings reported on a basis other than weekly are converted to a weekly equivalent.
The term "usual" is determined by each respondent's own understanding of the term. If
the respondent asks for a definition of "usual," interviewers are instructed to define
the term as more than half the weeks worked during the past 4 or 5 months.

   Medians (and other quantiles) of weekly earnings. The median (or upper limit of the
second quartile) is the midpoint in a given earnings distribution, with half of workers
having earnings above the median and the other half having earnings below the median. 
Ten percent of a given distribution have earnings below the upper limit of the first 
decile (90 percent have higher earnings), 25 percent have earnings below the upper 
limit of the first quartile (75 percent have higher earnings), 75 percent have earnings
below the upper limit of the third quartile (25 percent have higher earnings), and 90 
percent have earnings below the upper limit of the ninth decile (10 percent have higher
earnings).

   The BLS procedure for estimating the median of an earnings distribution places each
reported or calculated weekly earnings value into a $50-wide interval that is centered
around a multiple of $50. The median is calculated through the linear interpolation of
the interval in which the median lies.

   Changes over time in the medians (and other quantile boundaries) for specific groups
may not necessarily be consistent with the movements estimated for the overall quantile
boundary. The most common reasons for this possible anomaly are as follows: (1) there
could be a change in the relative weights of the subgroups. For example, the median of
16- to 24-year-olds and the median earnings of those 25 years and over may rise, but if
the lower earning 16-to-24 age group accounts for a greatly increased share of the 
total, the overall median could actually fall. (2) there could be a large change in the
shape of the distribution of reported earnings, particularly near a quantile boundary. 
This change could be caused by survey observations that are clustered at rounded values,
such as $400 or $500. An estimate lying in a $50-wide centered interval containing such
a cluster or "spike" tends to change more slowly than one in other intervals.

   Constant dollars. The Consumer Price Index for All Urban Consumers (CPI-U) is used 
to convert current dollars to constant (1982-84) dollars.

   Wage and salary workers. These are workers who receive wages, salaries, commissions,
tips, payment in kind, or piece rates. The group includes employees in both the private
and public sectors but, for the purposes of the earnings series, it excludes all 
self-employed persons, both those with incorporated businesses and those with 
unincorporated businesses.

   Full-time workers. For the purpose of producing estimates of earnings, workers who 
usually work 35 hours or more per week at their sole or principal job are defined as 
working full time.

   Part-time workers. For the purpose of producing estimates of earnings, workers who 
usually work fewer than 35 hours per week at their sole or principal job are defined as
working part time.

   Race. In the survey process, race is determined by the household respondent. In 
accordance with the Office of Management and Budget guidelines, White, Black or African
American, Asian, American Indian or Alaska Native, and Native Hawaiian or Other Pacific
Islander are terms used to describe a person's race. Estimates for the latter two race
groups and persons who selected more than one race are not included in this release due
to insufficient sample size.

   Hispanic or Latino ethnicity. This refers to people who identified themselves in the
survey process as being of Hispanic, Latino, or Spanish origin. People whose ethnicity
is identified as Hispanic or Latino may be of any race.

Reliability

   Statistics based on the CPS are subject to both sampling and nonsampling error. When
a sample, rather than the entire population, is surveyed, there is a chance that the 
sample estimates may differ from the true population values they represent. The 
component of this difference that occurs because samples differ by chance is known as
sampling error, and its variability is measured by the standard error of the estimate.
There is about a 90-percent chance, or level of confidence, that an estimate based on
a sample will differ by no more than 1.6 standard errors from the true population 
value because of sampling error. BLS analyses are generally conducted at the 
90-percent level of confidence. 

   The CPS data also are affected by nonsampling error. Nonsampling error can occur 
for many reasons, including the failure to sample a segment of the population, 
inability to obtain information for all respondents in the sample, inability or 
unwillingness of respondents to provide correct information, and errors made in the
collection or processing of the data.

   Additional information about the reliability of data from the CPS is available on
the BLS website at www.bls.gov/cps/documentation.htm#reliability.

Seasonal adjustment

   Over the course of a year, the size of the nation's labor force and other 
measures of labor market activity undergo regularly occurring fluctuations. These 
recurring events include seasonal changes in weather, major holidays, and the opening
and closing of schools. The effect of such seasonal variations can be very large.

   Because seasonal events follow a more or less regular pattern each year, their 
influence on the level of a series can be tempered by adjusting for regular seasonal
variation. These adjustments make nonseasonal developments easier to spot. The 
seasonally adjusted figures provide a more useful tool with which to analyze changes
in quarter-to-quarter activity.

   At the end of each calendar year, the seasonally adjusted data are revised for
the past 5 years when the seasonal adjustment factors are updated. More information
on seasonal adjustment is available on the BLS website at 
www.bls.gov/cps/documentation.htm#sa. 




Table 1. Median usual weekly earnings of full-time wage and salary workers by sex, quarterly averages, seasonally adjusted
Year and quarter Number of workers
(in thousands)
Median weekly earnings
Total Men Women In current dollars In constant (1982-84) dollars
Total
$
Men
$
Women
$
Total
$
Men
$
Women
$

2013

3rd quarter

104,400 58,082 46,318 779 855 705 334 367 302

4th quarter

104,764 58,095 46,669 782 865 712 334 369 304

2014

1st quarter

105,633 58,682 46,951 790 865 716 335 367 304

2nd quarter

106,342 59,486 46,855 781 860 715 330 363 302

3rd quarter

106,726 59,543 47,183 798 878 721 336 370 304

4th quarter

107,436 60,123 47,313 795 878 724 336 371 306

2015

1st quarter

108,448 60,346 48,102 802 886 725 341 377 308

2nd quarter

108,541 60,386 48,154 803 890 725 339 376 306

3rd quarter

109,315 61,004 48,311 809 896 727 340 377 306

4th quarter

110,060 61,292 48,768 821 904 729 345 380 307

2016

1st quarter

110,323 61,559 48,764 823 904 744 346 380 313

2nd quarter

110,921 61,770 49,152 828 913 746 345 381 311

3rd quarter

111,789 62,239 49,550 834 918 748 347 381 311

4th quarter

111,357 62,182 49,175 845 924 759 349 381 313

2017

1st quarter

111,838 62,363 49,475 858 941 760 352 386 312

2nd quarter

113,140 62,963 50,177 863 937 782 354 384 321

3rd quarter

113,854 63,319 50,535 864 944 769 352 385 313

4th quarter

114,286 63,315 50,971 854 943 770 345 382 312

2018

1st quarter

114,455 63,833 50,622 875 956 778 351 384 312

2nd quarter

115,535 64,185 51,349 881 963 783 351 384 312

3rd quarter

116,267 64,448 51,819 891 980 796 354 389 316

4th quarter

116,019 64,118 51,901 897 991 795 355 392 315

2019

1st quarter

117,108 64,790 52,319 899 994 803 355 393 317

2nd quarter

117,398 65,155 52,243 913 1,004 818 358 393 320

3rd quarter

117,553 65,001 52,552 922 1,010 825 360 394 322

4th quarter

118,262 65,070 53,191 934 1,020 842 362 396 327

2020

1st quarter

116,823 64,175 52,648 951 1,056 853 368 408 330

2nd quarter

104,386 57,867 46,518 1,008 1,091 919 393 425 358

3rd quarter

108,963 60,150 48,813 996 1,112 901 384 429 347

4th quarter

111,408 61,468 49,940 982 1,069 894 376 410 343

2021

1st quarter

112,907 61,974 50,933 983 1,079 897 373 409 341

2nd quarter

113,549 62,412 51,136 996 1,098 905 371 409 337

3rd quarter

114,642 63,204 51,438 1,003 1,108 915 367 406 335

4th quarter

116,156 64,116 52,040 1,008 1,100 928 362 395 333

2022

1st quarter

118,292 65,315 52,977 1,030 1,118 937 362 393 329

2nd quarter

119,018 65,590 53,427 1,045 1,148 949 358 393 325

3rd quarter

119,817 66,112 53,705 1,068 1,166 968 361 394 327

NOTE: Updated population controls are introduced annually with the release of January data.


Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics, quarterly averages, not seasonally adjusted
Characteristic Number of workers
(in thousands)
Median weekly earnings
3rd
2021
3rd
2022
In current dollars In constant (1982-84) dollars
3rd
2021
3rd
2022
3rd
2021
3rd
2022

SEX AND AGE

Total, 16 years and over

115,332 120,227 $1,001 $1,070 $366 $361

Men, 16 years and over

63,746 66,369 1,100 1,164 402 393

16 to 24 years

6,011 6,615 656 713 240 241

25 years and over

57,735 59,753 1,162 1,237 425 417

Women, 16 years and over

51,586 53,858 916 971 335 328

16 to 24 years

4,845 4,945 603 639 220 215

25 years and over

46,741 48,913 960 1,018 351 343

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

88,561 91,403 1,024 1,101 374 371

Men

49,965 51,536 1,134 1,192 415 402

Women

38,596 39,868 929 990 340 334

Black or African American

14,789 15,996 799 881 292 297

Men

7,254 7,762 813 922 297 311

Women

7,535 8,234 783 830 286 280

Asian

7,860 8,466 1,309 1,442 478 486

Men

4,297 4,728 1,414 1,656 517 559

Women

3,562 3,739 1,189 1,177 435 397

Hispanic or Latino ethnicity

21,207 22,210 779 861 285 291

Men

12,822 13,222 826 908 302 306

Women

8,385 8,988 723 782 264 264

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino ethnicity, and sex, 3rd quarter 2022 averages, not seasonally adjusted
Age, race, and Hispanic or Latino ethnicity Total Men Women
Number of
workers
(in
thousands)
Median
weekly
earnings
Number of
workers
(in
thousands)
Median
weekly
earnings
Number of
workers
(in
thousands)
Median
weekly
earnings

TOTAL

16 years and over

120,227 $1,070 66,369 $1,164 53,858 $971

16 to 24 years

11,560 690 6,615 713 4,945 639

16 to 19 years

1,906 609 1,184 628 722 588

20 to 24 years

9,654 706 5,431 734 4,223 660

25 years and over

108,666 1,138 59,753 1,237 48,913 1,018

25 to 54 years

83,121 1,133 45,647 1,219 37,474 1,026

25 to 34 years

29,627 1,003 16,330 1,043 13,297 955

35 to 44 years

28,134 1,197 15,683 1,299 12,452 1,086

45 to 54 years

25,359 1,224 13,634 1,398 11,725 1,071

55 years and over

25,546 1,151 14,107 1,317 11,439 987

55 to 64 years

20,192 1,172 11,098 1,346 9,094 1,026

65 years and over

5,354 991 3,009 1,189 2,345 875

White

16 years and over

91,403 1,101 51,536 1,192 39,868 990

16 to 24 years

8,913 695 5,117 719 3,796 652

25 years and over

82,491 1,161 46,419 1,265 36,072 1,042

25 to 54 years

62,128 1,155 34,958 1,242 27,170 1,054

55 years and over

20,363 1,179 11,461 1,363 8,901 1,002

Black or African American

16 years and over

15,996 881 7,762 922 8,234 830

16 to 24 years

1,451 623 768 679 683 600

25 years and over

14,545 912 6,994 975 7,551 860

25 to 54 years

11,448 906 5,505 967 5,943 854

55 years and over

3,097 956 1,488 986 1,609 895

Asian

16 years and over

8,466 1,442 4,728 1,656 3,739 1,177

16 to 24 years

497 833 305 900 192 758

25 years and over

7,969 1,492 4,423 1,730 3,547 1,236

25 to 54 years

6,415 1,528 3,579 1,739 2,835 1,271

55 years and over

1,555 1,258 843 1,564 711 1,016

Hispanic or Latino ethnicity

16 years and over

22,210 861 13,222 908 8,988 782

16 to 24 years

2,781 678 1,724 702 1,057 619

25 years and over

19,429 904 11,498 956 7,931 816

25 to 54 years

16,037 913 9,447 966 6,590 823

55 years and over

3,392 854 2,050 901 1,342 780

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 4. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, quarterly averages, not seasonally adjusted
Occupation and sex Number of workers
(in thousands)
Median weekly earnings
3rd
2021
3rd
2022
3rd
2021
3rd
2022

TOTAL

Management, professional, and related occupations

51,452 54,788 $1,430 $1,484

Management, business, and financial operations occupations

21,977 23,341 1,521 1,553

Professional and related occupations

29,475 31,447 1,363 1,426

Service occupations

14,636 15,713 636 709

Sales and office occupations

21,797 21,903 828 881

Sales and related occupations

9,296 9,114 872 938

Office and administrative support occupations

12,501 12,789 813 846

Natural resources, construction, and maintenance occupations

11,903 11,473 917 975

Farming, fishing, and forestry occupations

937 882 651 652

Construction and extraction occupations

6,495 6,462 912 981

Installation, maintenance, and repair occupations

4,471 4,129 1,028 1,053

Production, transportation, and material moving occupations

15,544 16,349 777 817

Production occupations

7,169 7,501 806 859

Transportation and material moving occupations

8,376 8,848 748 794

Men

Management, professional, and related occupations

24,417 26,582 1,616 1,735

Management, business, and financial operations occupations

11,238 12,492 1,658 1,730

Professional and related occupations

13,179 14,090 1,568 1,739

Service occupations

7,203 7,703 716 770

Sales and office occupations

8,685 8,704 967 1,020

Sales and related occupations

5,143 5,105 1,075 1,130

Office and administrative support occupations

3,542 3,599 897 944

Natural resources, construction, and maintenance occupations

11,297 10,869 933 990

Farming, fishing, and forestry occupations

768 644 669 685

Construction and extraction occupations

6,260 6,219 919 988

Installation, maintenance, and repair occupations

4,269 4,005 1,036 1,059

Production, transportation, and material moving occupations

12,143 12,511 828 897

Production occupations

5,362 5,351 888 944

Transportation and material moving occupations

6,781 7,160 788 838

Women

Management, professional, and related occupations

27,035 28,206 1,255 1,296

Management, business, and financial operations occupations

10,739 10,849 1,375 1,418

Professional and related occupations

16,296 17,357 1,196 1,235

Service occupations

7,432 8,011 590 659

Sales and office occupations

13,112 13,199 767 807

Sales and related occupations

4,153 4,009 695 782

Office and administrative support occupations

8,960 9,190 790 813

Natural resources, construction, and maintenance occupations

606 604 681 645

Farming, fishing, and forestry occupations

169 238 616 576

Construction and extraction occupations

235 242 685 829

Installation, maintenance, and repair occupations

202 124 783 621

Production, transportation, and material moving occupations

3,401 3,838 660 696

Production occupations

1,807 2,150 661 704

Transportation and material moving occupations

1,594 1,688 659 687

NOTE: Updated population controls are introduced annually with the release of January data.


Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 3rd quarter 2022 averages, not seasonally adjusted
Characteristic Number of
workers
(in
thousands)
Upper limit of:
First decile First
quartile
Second
quartile
(median)
Third
quartile
Ninth
decile

SEX, RACE, AND HISPANIC OR LATINO ETHNICITY

Total, 16 years and over

120,227 $560 $724 $1,070 $1,696 $2,583

Men

66,369 594 776 1,164 1,858 2,886

Women

53,858 517 681 971 1,503 2,276

White

91,403 574 742 1,101 1,731 2,597

Men

51,536 605 793 1,192 1,880 2,893

Women

39,868 524 694 990 1,515 2,238

Black or African American

15,996 494 638 881 1,332 1,985

Men

7,762 519 678 922 1,378 2,026

Women

8,234 479 611 830 1,252 1,931

Asian

8,466 599 815 1,442 2,283 3,440

Men

4,728 612 944 1,656 2,484 3,511

Women

3,739 579 742 1,177 1,947 3,020

Hispanic or Latino ethnicity

22,210 505 640 861 1,298 1,937

Men

13,222 542 678 908 1,380 2,010

Women

8,988 476 597 782 1,197 1,874

EDUCATIONAL ATTAINMENT

Total, 25 years and over

108,666 587 764 1,138 1,770 2,690

Less than a high school diploma

5,991 438 561 692 914 1,238

High school graduates, no college(1)

26,462 520 663 866 1,217 1,723

Some college or associate degree

26,379 573 718 993 1,426 1,961

Bachelor's degree and higher(2)

49,833 749 1,048 1,556 2,308 3,420

Bachelor's degree only

30,449 714 980 1,452 2,107 3,095

Advanced degree

19,385 863 1,170 1,769 2,606 3,865

Men, 25 years and over

59,753 619 822 1,237 1,906 2,911

Less than a high school diploma

4,053 493 603 760 1,011 1,381

High school graduates, no college(1)

16,394 586 716 958 1,352 1,887

Some college or associate degree

14,313 614 801 1,143 1,574 2,209

Bachelor's degree and higher(2)

24,994 811 1,172 1,783 2,682 3,875

Bachelor's degree only

15,772 774 1,115 1,658 2,434 3,498

Advanced degree

9,222 935 1,345 1,988 3,013 4,527

Women, 25 years and over

48,913 546 709 1,018 1,563 2,309

Less than a high school diploma

1,939 379 493 604 717 948

High school graduates, no college(1)

10,068 478 592 740 996 1,377

Some college or associate degree

12,066 522 660 862 1,186 1,666

Bachelor's degree and higher(2)

24,840 715 962 1,382 1,975 2,892

Bachelor's degree only

14,677 675 876 1,252 1,850 2,601

Advanced degree

10,163 824 1,101 1,568 2,282 3,165

Footnotes
(1) Includes persons with a high school diploma or equivalent.
(2) Includes persons with bachelor's, master's, professional, and doctoral degrees.

NOTE: Ten percent of all full-time wage and salary workers earn less than the upper limit of the first decile; 25 percent earn less than the upper limit of the first quartile; 50 percent earn less than the upper limit of the second quartile, or median; 75 percent earn less than the upper limit of the third quartile; and 90 percent earn less than the upper limit of the ninth decile.
Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 6. Median usual weekly earnings of part-time wage and salary workers by selected characteristics, quarterly averages, not seasonally adjusted
Characteristic Number of workers
(in thousands)
Median weekly earnings
3rd
2021
3rd
2022
3rd
2021
3rd
2022

SEX AND AGE

Total, 16 years and over

21,501 21,827 $324 $352

Men, 16 years and over

7,641 7,642 317 350

16 to 24 years

3,424 3,261 275 281

25 years and over

4,217 4,381 390 415

Women, 16 years and over

13,860 14,186 330 354

16 to 24 years

4,369 4,647 268 276

25 years and over

9,491 9,539 380 412

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

16,539 17,003 324 353

Men

5,908 5,861 317 357

Women

10,631 11,143 331 351

Black or African American

2,583 2,525 312 330

Men

808 986 295 316

Women

1,776 1,538 321 350

Asian

1,392 1,358 384 387

Men

535 398 405 390

Women

857 959 369 386

Hispanic or Latino ethnicity

3,577 4,001 320 343

Men

1,291 1,310 322 362

Women

2,287 2,691 320 333

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Last Modified Date: October 18, 2022