For release 10:00 a.m. (ET) Tuesday, July 19, 2022 USDL-22-1518

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

SECOND QUARTER 2022

Median weekly earnings of the nation's 118.9 million full-time wage and salary workers were $1,041 

in the second quarter of 2022 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported 

today. This was 5.2 percent higher than a year earlier, compared with a gain of 8.6 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 second-quarter data: 

• Median weekly earnings of full-time workers were $1,041 in the second quarter of 2022. Women

had median weekly earnings of $943, or 82.4 percent of the $1,144 median for men. (See table 2.) 

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 82.3 

percent as much as their male counterparts, compared with 88.1 percent for Black women, 79.0 

percent for Asian women, and 85.7 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($885) and 

Hispanics ($812) working full-time jobs were lower than those of Whites ($1,068) and Asians 

($1,336). By sex, median weekly earnings for Black men were $953, or 82.1 percent of the median 

for White men ($1,161). Median earnings for Hispanic men were $877, or 75.5 percent of the 

median for White men. The difference was less among women, as Black women's median earnings 

were $840, or 87.9 percent of those for White women ($956), and earnings for Hispanic women 

were $752, or 78.7 percent of those for White women. Earnings of Asian men ($1,496) and women 

($1,182) 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 

$1,332 for men ages 35 to 44, $1,316 for men ages 45 to 54, and $1,266 for men ages 55 to 64. 

Among women, usual weekly earnings were highest for workers ages 35 to 54: median weekly 

earnings were $1,047 for women ages 35 to 44 and $1,051 for women ages 45 to 54. Men and 

women ages 16 to 24 had the lowest median weekly earnings, $707 and $656, respectively. Men's 
-2-

and women's earnings were closer among younger workers than older workers; for example, women 

ages 16 to 24 earned 92.8 percent as much as men in the same age group, while the women's-tomen'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—$1,743 for men and $1,265 for 

women. Men and women employed in service occupations earned the least, $773 and $656, 

respectively. (See table 4.) 

• By educational attainment, full-time workers age 25 and over without a high school diploma had 

median weekly earnings of $689, compared with $838 for high school graduates (no college) and 

$1,547 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 $3,039 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings were $1,045 in the second quarter of 2022, little 

changed from the previous quarter. (See table 1.)
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

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

2nd quarter........................................ 119,018 65,590 53,427 1,045 1,148 949 358 393 325

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

2nd

2021

2nd

2022

In current dollars In constant (1982-84)

dollars

2nd

2021

2nd

2022

2nd

2021

2nd

2022

SEX AND AGE

Total, 16 years and over.............................................. 113,593 118,887 $990 $1,041 $368 $356

Men, 16 years and over............................................ 62,485 65,478 1,094 1,144 406 391

16 to 24 years.................................................... 5,759 6,144 643 707 239 242

25 years and over................................................ 56,726 59,334 1,154 1,211 429 414

Women, 16 years and over........................................ 51,108 53,409 899 943 334 322

16 to 24 years.................................................... 4,660 4,919 596 656 221 224

25 years and over................................................ 46,448 48,490 944 989 351 338

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 87,138 90,564 1,012 1,068 376 365

Men................................................................. 49,224 51,073 1,115 1,161 414 397

Women............................................................. 37,914 39,490 921 956 342 327

Black or African American......................................... 14,665 15,820 799 885 296 303

Men................................................................. 6,969 7,684 877 953 326 326

Women............................................................. 7,696 8,137 746 840 277 287

Asian.................................................................. 7,724 8,045 1,281 1,336 476 457

Men................................................................. 4,106 4,325 1,473 1,496 547 511

Women............................................................. 3,619 3,720 1,037 1,182 385 404

Hispanic or Latino ethnicity........................................ 20,777 22,488 779 812 289 278

Men................................................................. 12,450 13,452 825 877 306 300

Women............................................................. 8,327 9,036 714 752 265 257

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, 2nd 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..................................................... 118,887 $1,041 65,478 $1,144 53,409 $943

16 to 24 years....................................................... 11,063 685 6,144 707 4,919 656

16 to 19 years.................................................... 1,704 603 1,024 643 680 546

20 to 24 years.................................................... 9,359 703 5,119 719 4,239 682

25 years and over................................................... 107,824 1,107 59,334 1,211 48,490 989

25 to 54 years.................................................... 82,511 1,103 45,311 1,200 37,200 997

25 to 34 years.................................................. 29,333 976 16,090 1,025 13,243 922

35 to 44 years.................................................. 28,019 1,180 15,511 1,332 12,508 1,047

45 to 54 years.................................................. 25,160 1,181 13,710 1,316 11,449 1,051

55 years and over................................................ 25,313 1,115 14,023 1,240 11,290 958

55 to 64 years.................................................. 20,179 1,134 10,992 1,266 9,188 981

65 years and over............................................. 5,134 1,023 3,031 1,143 2,103 895

White

16 years and over................................................... 90,564 1,068 51,073 1,161 39,490 956

16 to 24 years.................................................... 8,444 688 4,788 712 3,656 650

25 years and over................................................ 82,120 1,133 46,286 1,236 35,834 1,008

25 to 54 years.................................................. 61,834 1,128 34,783 1,218 27,051 1,014

55 years and over............................................. 20,285 1,151 11,503 1,290 8,783 976

Black or African American

16 years and over................................................... 15,820 885 7,684 953 8,137 840

16 to 24 years.................................................... 1,484 636 750 628 733 641

25 years and over................................................ 14,337 916 6,933 991 7,403 867

25 to 54 years.................................................. 11,243 919 5,418 995 5,825 871

55 years and over............................................. 3,094 901 1,516 979 1,578 854

Asian

16 years and over................................................... 8,045 1,336 4,325 1,496 3,720 1,182

16 to 24 years.................................................... 478 846 245 754 233 964

25 years and over................................................ 7,567 1,376 4,080 1,567 3,487 1,216

25 to 54 years.................................................. 6,203 1,432 3,367 1,669 2,837 1,257

55 years and over............................................. 1,364 1,129 713 1,299 650 991

Hispanic or Latino ethnicity

16 years and over................................................... 22,488 812 13,452 877 9,036 752

16 to 24 years.................................................... 2,809 647 1,707 689 1,101 605

25 years and over................................................ 19,679 862 11,744 917 7,935 789

25 to 54 years.................................................. 16,172 856 9,597 906 6,575 797

55 years and over............................................. 3,507 882 2,147 982 1,360 750

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

2nd

2021

2nd

2022

2nd

2021

2nd

2022

TOTAL

Management, professional, and related occupations................................ 50,580 53,386 $1,366 $1,459

Management, business, and financial operations occupations................... 21,300 22,515 1,445 1,597

Professional and related occupations............................................... 29,280 30,871 1,319 1,377

Service occupations...................................................................... 14,701 15,755 625 707

Sales and office occupations............................................................ 22,185 22,329 828 867

Sales and related occupations....................................................... 9,412 9,279 910 951

Office and administrative support occupations..................................... 12,772 13,049 802 824

Natural resources, construction, and maintenance occupations.................... 11,094 11,473 924 964

Farming, fishing, and forestry occupations......................................... 821 665 659 620

Construction and extraction occupations............................................ 6,023 6,480 899 913

Installation, maintenance, and repair occupations................................. 4,250 4,328 1,027 1,070

Production, transportation, and material moving occupations....................... 15,034 15,944 764 807

Production occupations................................................................ 6,758 7,385 795 833

Transportation and material moving occupations.................................. 8,276 8,559 731 790

Men

Management, professional, and related occupations................................ 24,560 25,680 1,586 1,743

Management, business, and financial operations occupations................... 11,262 11,714 1,652 1,883

Professional and related occupations............................................... 13,298 13,965 1,544 1,627

Service occupations...................................................................... 7,008 7,768 713 773

Sales and office occupations............................................................ 8,747 8,774 985 1,018

Sales and related occupations....................................................... 5,065 4,960 1,099 1,165

Office and administrative support occupations..................................... 3,682 3,814 908 918

Natural resources, construction, and maintenance occupations.................... 10,528 10,951 932 975

Farming, fishing, and forestry occupations......................................... 671 539 689 620

Construction and extraction occupations............................................ 5,807 6,261 901 915

Installation, maintenance, and repair occupations................................. 4,050 4,151 1,034 1,077

Production, transportation, and material moving occupations....................... 11,641 12,305 821 873

Production occupations................................................................ 4,999 5,391 860 914

Transportation and material moving occupations.................................. 6,642 6,914 794 832

Women

Management, professional, and related occupations................................ 26,020 27,707 1,195 1,265

Management, business, and financial operations occupations................... 10,038 10,800 1,256 1,399

Professional and related occupations............................................... 15,982 16,906 1,157 1,185

Service occupations...................................................................... 7,692 7,987 586 656

Sales and office occupations............................................................ 13,438 13,555 762 799

Sales and related occupations....................................................... 4,347 4,320 726 778

Office and administrative support occupations..................................... 9,091 9,235 774 804

Natural resources, construction, and maintenance occupations.................... 565 522 677 782

Farming, fishing, and forestry occupations......................................... 150 126 596 619

Construction and extraction occupations............................................ 215 219 701 710

Installation, maintenance, and repair occupations................................. 200 176 933 914

Production, transportation, and material moving occupations....................... 3,393 3,639 622 694

Production occupations................................................................ 1,759 1,995 648 695

Transportation and material moving occupations.................................. 1,634 1,645 610 693

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

selected characteristics, 2nd 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.............................................. 118,887 $547 $710 $1,041 $1,655 $2,561

Men................................................................... 65,478 584 755 1,144 1,847 2,894

Women............................................................... 53,409 512 668 943 1,459 2,177

White.................................................................. 90,564 559 723 1,068 1,689 2,621

Men................................................................. 51,073 590 772 1,161 1,870 2,899

Women............................................................. 39,490 519 675 956 1,479 2,224

Black or African American......................................... 15,820 491 630 885 1,359 1,909

Men................................................................. 7,684 517 650 953 1,481 2,185

Women............................................................. 8,137 469 613 840 1,219 1,798

Asian.................................................................. 8,045 602 813 1,336 2,153 3,172

Men................................................................. 4,325 627 904 1,496 2,482 3,590

Women............................................................. 3,720 575 748 1,182 1,865 2,699

Hispanic or Latino ethnicity........................................ 22,488 491 616 812 1,230 1,857

Men................................................................. 13,452 511 651 877 1,282 1,909

Women............................................................. 9,036 456 588 752 1,127 1,731

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 107,824 578 745 1,107 1,750 2,697

Less than a high school diploma.................................. 6,521 416 534 689 886 1,223

High school graduates, no college1

............................... 26,660 517 640 838 1,188 1,711

Some college or associate degree................................ 26,043 558 703 961 1,389 1,938

Bachelor’s degree and higher2.................................... 48,600 742 1,034 1,547 2,321 3,451

Bachelor’s degree only.......................................... 29,963 702 961 1,441 2,207 3,120

Advanced degree................................................. 18,637 845 1,168 1,743 2,515 3,881

Men, 25 years and over............................................ 59,334 603 798 1,211 1,908 2,915

Less than a high school diploma............................... 4,382 448 591 747 984 1,337

High school graduates, no college1

............................ 16,397 572 693 939 1,325 1,896

Some college or associate degree............................. 13,934 602 783 1,097 1,558 2,232

Bachelor’s degree and higher2

................................. 24,621 797 1,158 1,775 2,736 3,882

Bachelor’s degree only........................................ 16,015 757 1,075 1,649 2,518 3,516

Advanced degree.............................................. 8,606 949 1,371 2,012 3,020 4,527

Women, 25 years and over........................................ 48,490 532 696 989 1,528 2,283

Less than a high school diploma............................... 2,139 379 479 594 713 890

High school graduates, no college1

............................ 10,263 481 591 735 974 1,287

Some college or associate degree............................. 12,109 508 648 851 1,164 1,617

Bachelor’s degree and higher2................................. 23,979 705 945 1,372 1,921 2,829

Bachelor’s degree only........................................ 13,947 665 871 1,248 1,830 2,679

Advanced degree.............................................. 10,031 797 1,079 1,541 2,120 3,039

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

2nd

2021

2nd

2022

2nd

2021

2nd

2022

SEX AND AGE

Total, 16 years and over................................................................. 21,705 22,545 $314 $340

Men, 16 years and over............................................................... 7,667 8,172 308 337

16 to 24 years........................................................................ 3,334 3,418 267 279

25 years and over................................................................... 4,332 4,754 360 410

Women, 16 years and over........................................................... 14,038 14,373 317 342

16 to 24 years........................................................................ 4,363 4,451 251 248

25 years and over................................................................... 9,675 9,922 369 394

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 17,002 17,278 316 343

Men.................................................................................... 5,898 6,060 310 343

Women................................................................................ 11,104 11,218 320 343

Black or African American............................................................ 2,584 2,811 286 322

Men.................................................................................... 1,024 1,143 290 317

Women................................................................................ 1,561 1,667 284 327

Asian..................................................................................... 1,163 1,336 357 369

Men.................................................................................... 415 505 357 384

Women................................................................................ 748 832 357 361

Hispanic or Latino ethnicity........................................................... 3,859 4,075 332 348

Men.................................................................................... 1,497 1,602 328 350

Women................................................................................ 2,362 2,473 334 347

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.