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 college1

............................... 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 higher2.................................... 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 college1

............................ 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 higher2

................................. 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 college1

............................ 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 higher2................................. 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

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.