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Economic News Release
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Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (ET) Friday, April 15, 2022 			        USDL-22-0624

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
                                   FIRST QUARTER 2022


Median weekly earnings of the nation's 117.5 million full-time wage and salary workers
were $1,037 in the first quarter of 2022 (not seasonally adjusted), the U.S. Bureau of
Labor Statistics reported today. This was 4.9 percent higher than a year earlier,
compared with a gain of 8.0 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 first-quarter data: 

 --Median weekly earnings of full-time workers were $1,037 in the first quarter of 2022.
   Women had median weekly earnings of $939, or 83.2 percent of the $1,128 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 93.2 percent for Black
   women, 85.2 percent for Asian women, and 84.5 percent for Hispanic women. (See table 2.) 

 --Among the major race and ethnicity groups, median weekly earnings of Blacks ($840) and
   Hispanics ($799) working full-time jobs were lower than those of Whites ($1,064) and
   Asians ($1,362). By sex, median weekly earnings for Black men were $870, or 75.8 percent
   of the median for White men ($1,148). Median earnings for Hispanic men were $866, or
   75.4 percent of the median for White men. The difference was less among women, as Black
   women's median earnings were $811, or 85.0 percent of those for White women ($954),
   and earnings for Hispanic women were $732, or 76.7 percent of those for White women.
   Earnings of Asian men ($1,452) and women ($1,237) were higher than those of their White
   counterparts. (See table 2.) 

 --By age, usual weekly earnings were highest for men age 35 and over: median weekly
   earnings were $1,257 for men ages 35 to 44, $1,274 for men ages 45 to 54, $1,246 for
   men ages 55 to 64, and $1,281 for men 65 years and over. Among women, usual weekly
   earnings were highest for workers ages 35 to 64: weekly earnings were $1,037 for women
   ages 35 to 44, $1,063 for women ages 45 to 54, and $997 for women ages 55 to 64. Men
   and women ages 16 to 24 had the lowest median weekly earnings, $694 and $628,
   respectively. Men's and women's earnings were closer among younger workers than older
   workers; for example, women ages 16 to 24 earned 90.5 percent as much as men in the
   same age group, while the women's-to-men's earnings ratio was 77.3 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--$1,657
   for men and $1,268 for women. Men and women employed in service occupations earned
   the least, $742 and $613, respectively. (See table 4.) 

 --By educational attainment, full-time workers age 25 and over without a high school
   diploma had median weekly earnings of $670, compared with $827 for high school
   graduates (no college) and $1,525 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 $4,820 or more per 
   week, compared with $3,099 or more for their female counterparts. (See table 5.) 

 --Seasonally adjusted median weekly earnings increased to $1,030 in the first quarter
   of 2022. (See table 1.)


  _______________________________________________________________________________________
 |											 |
 |              Revision of Seasonally Adjusted Usual Weekly Earnings Data               |
 |											 |
 | Seasonally adjusted data for median usual weekly earnings in constant (1982-84)	 |
 | dollars have been updated using revised seasonally adjusted data for the Consumer	 |
 | Price Index for All Urban Consumers (CPI-U). (Data are shown in table 1 of this	 |
 | news release.) Seasonally adjusted constant (1982-84) dollar estimates back to the	 |
 | first quarter of 2017 were 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

1st quarter

103,928 57,884 46,044 768 860 699 331 370 301

2nd quarter

103,988 57,944 46,044 777 863 706 335 372 304

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

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
1st
2021
1st
2022
In current dollars In constant (1982-84) dollars
1st
2021
1st
2022
1st
2021
1st
2022

SEX AND AGE

Total, 16 years and over

112,070 117,518 $989 $1,037 $376 $365

Men, 16 years and over

61,401 64,799 1,089 1,128 414 397

16 to 24 years

5,392 5,495 634 694 241 244

25 years and over

56,009 59,304 1,154 1,185 438 417

Women, 16 years and over

50,669 52,719 900 939 342 331

16 to 24 years

4,420 4,571 593 628 225 221

25 years and over

46,250 48,148 941 985 357 347

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

86,452 89,733 1,006 1,064 382 375

Men

48,307 50,665 1,118 1,148 425 404

Women

38,146 39,069 912 954 347 336

Black or African American

14,279 15,412 799 840 304 296

Men

6,836 7,344 834 870 317 306

Women

7,443 8,068 768 811 292 285

Asian

7,532 8,132 1,286 1,362 489 480

Men

4,264 4,512 1,408 1,452 535 511

Women

3,268 3,620 1,134 1,237 431 435

Hispanic or Latino ethnicity

20,312 22,033 750 799 285 281

Men

12,026 13,142 788 866 299 305

Women

8,286 8,891 696 732 265 258

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, 1st 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

117,518 $1,037 64,799 $1,128 52,719 $939

16 to 24 years

10,067 668 5,495 694 4,571 628

16 to 19 years

1,290 587 829 617 460 509

20 to 24 years

8,777 684 4,666 707 4,111 649

25 years and over

107,451 1,100 59,304 1,185 48,148 985

25 to 54 years

81,970 1,092 45,100 1,165 36,870 992

25 to 34 years

28,705 975 15,843 1,014 12,862 920

35 to 44 years

28,061 1,155 15,583 1,257 12,478 1,037

45 to 54 years

25,203 1,172 13,673 1,274 11,530 1,063

55 years and over

25,482 1,125 14,204 1,251 11,278 967

55 to 64 years

20,186 1,134 11,146 1,246 9,040 997

65 years and over

5,296 1,067 3,059 1,281 2,237 855

White

16 years and over

89,733 1,064 50,665 1,148 39,069 954

16 to 24 years

7,732 675 4,265 702 3,466 625

25 years and over

82,002 1,125 46,400 1,214 35,602 1,005

25 to 54 years

61,622 1,107 34,756 1,175 26,867 1,005

55 years and over

20,379 1,166 11,644 1,325 8,736 1,006

Black or African American

16 years and over

15,412 840 7,344 870 8,068 811

16 to 24 years

1,347 611 680 616 667 608

25 years and over

14,065 875 6,664 901 7,401 849

25 to 54 years

11,025 879 5,224 893 5,800 866

55 years and over

3,041 859 1,440 932 1,601 775

Asian

16 years and over

8,132 1,362 4,512 1,452 3,620 1,237

16 to 24 years

463 896 216 774 248 952

25 years and over

7,668 1,404 4,296 1,519 3,372 1,277

25 to 54 years

6,276 1,492 3,515 1,596 2,761 1,383

55 years and over

1,392 1,085 782 1,139 610 922

Hispanic or Latino ethnicity

16 years and over

22,033 799 13,142 866 8,891 732

16 to 24 years

2,655 622 1,562 641 1,092 609

25 years and over

19,378 835 11,580 899 7,798 761

25 to 54 years

16,004 837 9,489 894 6,515 770

55 years and over

3,374 824 2,091 925 1,283 713

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
1st
2021
1st
2022
1st
2021
1st
2022

TOTAL

Management, professional, and related occupations

50,956 52,982 $1,361 $1,440

Management, business, and financial operations occupations

21,273 22,009 1,475 1,547

Professional and related occupations

29,683 30,973 1,288 1,369

Service occupations

13,468 15,123 626 663

Sales and office occupations

21,576 22,072 817 865

Sales and related occupations

9,266 9,230 887 909

Office and administrative support occupations

12,310 12,841 795 837

Natural resources, construction, and maintenance occupations

10,448 11,372 900 929

Farming, fishing, and forestry occupations

686 818 582 629

Construction and extraction occupations

5,910 6,406 885 920

Installation, maintenance, and repair occupations

3,851 4,148 982 998

Production, transportation, and material moving occupations

15,621 15,970 738 817

Production occupations

7,191 7,214 781 867

Transportation and material moving occupations

8,430 8,756 705 774

Men

Management, professional, and related occupations

24,461 25,769 1,615 1,657

Management, business, and financial operations occupations

11,142 11,831 1,741 1,748

Professional and related occupations

13,318 13,938 1,536 1,605

Service occupations

6,507 7,231 741 742

Sales and office occupations

8,594 8,910 960 1,001

Sales and related occupations

5,163 5,166 1,031 1,091

Office and administrative support occupations

3,431 3,744 887 921

Natural resources, construction, and maintenance occupations

9,983 10,819 911 945

Farming, fishing, and forestry occupations

562 666 596 648

Construction and extraction occupations

5,709 6,199 892 929

Installation, maintenance, and repair occupations

3,712 3,954 985 1,005

Production, transportation, and material moving occupations

11,856 12,071 790 881

Production occupations

5,186 5,185 853 951

Transportation and material moving occupations

6,670 6,886 739 814

Women

Management, professional, and related occupations

26,496 27,213 1,179 1,268

Management, business, and financial operations occupations

10,131 10,178 1,261 1,370

Professional and related occupations

16,365 17,035 1,143 1,227

Service occupations

6,961 7,892 582 613

Sales and office occupations

12,982 13,162 758 804

Sales and related occupations

4,102 4,064 720 777

Office and administrative support occupations

8,879 9,098 769 811

Natural resources, construction, and maintenance occupations

465 553 717 700

Farming, fishing, and forestry occupations

124 152 499 595

Construction and extraction occupations

202 207 784 724

Installation, maintenance, and repair occupations

139 194 903 771

Production, transportation, and material moving occupations

3,765 3,899 612 676

Production occupations

2,006 2,029 616 678

Transportation and material moving occupations

1,760 1,870 608 674

NOTE: Updated population controls are introduced annually with the release of January data. Effective with January 2020 data, occupations reflect the introduction of the 2018 Census occupational classification system, derived from the 2018 Standard Occupational Classification (SOC). No historical data have been revised. Data for 2020 are not strictly comparable with earlier years.


Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 1st 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

117,518 $531 $701 $1,037 $1,635 $2,512

Men

64,799 576 749 1,128 1,773 2,888

Women

52,719 501 655 939 1,464 2,151

White

89,733 543 713 1,064 1,659 2,544

Men

50,665 585 767 1,148 1,817 2,898

Women

39,069 504 662 954 1,483 2,160

Black or African American

15,412 486 618 840 1,271 1,928

Men

7,344 489 624 870 1,353 2,097

Women

8,068 483 613 811 1,228 1,853

Asian

8,132 593 822 1,362 2,102 3,116

Men

4,512 621 903 1,452 2,309 3,462

Women

3,620 556 758 1,237 1,896 2,714

Hispanic or Latino ethnicity

22,033 484 605 799 1,198 1,820

Men

13,142 502 624 866 1,287 1,921

Women

8,891 450 582 732 1,103 1,671

EDUCATIONAL ATTAINMENT

Total, 25 years and over

107,451 565 732 1,100 1,725 2,676

Less than a high school diploma

6,151 417 533 670 892 1,200

High school graduates, no college(1)

26,830 494 625 827 1,178 1,666

Some college or associate degree

25,852 539 689 938 1,369 1,908

Bachelor's degree and higher(2)

48,618 733 1,036 1,525 2,297 3,436

Bachelor's degree only

29,799 692 946 1,395 2,087 3,082

Advanced degree

18,819 865 1,194 1,748 2,621 3,923

Men, 25 years and over

59,304 594 789 1,185 1,876 2,915

Less than a high school diploma

4,182 478 579 722 958 1,289

High school graduates, no college(1)

16,785 532 687 924 1,311 1,774

Some college or associate degree

13,686 593 765 1,082 1,534 2,182

Bachelor's degree and higher(2)

24,652 795 1,142 1,742 2,700 3,923

Bachelor's degree only

15,415 754 1,054 1,586 2,404 3,493

Advanced degree

9,236 915 1,317 1,930 3,107 4,820

Women, 25 years and over

48,148 521 681 985 1,525 2,264

Less than a high school diploma

1,969 353 468 586 709 910

High school graduates, no college(1)

10,046 440 579 711 930 1,309

Some college or associate degree

12,166 500 634 812 1,148 1,614

Bachelor's degree and higher(2)

23,967 690 950 1,366 1,920 2,799

Bachelor's degree only

14,384 645 853 1,238 1,807 2,508

Advanced degree

9,583 834 1,143 1,541 2,197 3,099

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
1st
2021
1st
2022
1st
2021
1st
2022

SEX AND AGE

Total, 16 years and over

21,757 23,010 $310 $327

Men, 16 years and over

7,725 8,144 303 312

16 to 24 years

3,196 3,553 234 258

25 years and over

4,529 4,591 366 402

Women, 16 years and over

14,032 14,865 314 339

16 to 24 years

4,231 4,513 239 252

25 years and over

9,801 10,353 367 393

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

16,953 17,927 309 329

Men

5,982 6,121 299 313

Women

10,971 11,807 314 341

Black or African American

2,554 2,718 303 310

Men

962 1,168 299 298

Women

1,592 1,550 305 316

Asian

1,369 1,398 354 390

Men

460 485 341 378

Women

909 913 359 394

Hispanic or Latino ethnicity

3,895 3,986 303 324

Men

1,530 1,435 303 326

Women

2,366 2,551 304 324

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: April 15, 2022