For release 10:00 a.m. (ET) Wednesday, October 18, 2023 USDL-23-2227 

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 2023

Median weekly earnings of the nation's 122.1 million full-time wage and salary workers were 

$1,118 in the third quarter of 2023 (not seasonally adjusted), the U.S. Bureau of Labor Statistics 

reported today. This was 4.5 percent higher than a year earlier, compared with a gain of 3.5 

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 $1,118 in the third quarter of 2023. 

Women had median weekly earnings of $1,005, or 83.2 percent of the $1,208 median for 

men. (See table 2.) 

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

82.9 percent as much as their male counterparts, compared with 91.5 percent for Black 

women, 74.7 percent for Asian women, and 87.3 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($918) and 

Hispanics ($885) working full-time jobs were lower than those of Whites ($1,137) and 

Asians ($1,444). By sex, median weekly earnings for Black men were $968, or 78.6 percent 

of the median for White men ($1,231). Median earnings for Hispanic men were $931, or 75.6 

percent of the median for White men. The difference was less among women, as Black 

women's median earnings were $886, or 86.8 percent of those for White women ($1,021), 

and earnings for Hispanic women were $813, or 79.6 percent of those for White women. 

Earnings of Asian men ($1,630) and women ($1,217) 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 $1,401 for men ages 35 to 44, $1,404 for men ages 45 to 54, and $1,395 for men ages 
-2- 

55 to 64. Among women, usual weekly earnings were also highest for workers ages 35 to 64: 

median weekly earnings were $1,111 for women ages 35 to 44, $1,124 for women ages 45 to 

54, and $1,077 for women ages 55 to 64. Men and women ages 16 to 24 had the lowest 

median weekly earnings, $733 and $695, respectively. Men's and women's earnings were 

closer among younger workers than older workers; for example, women ages 16 to 24 earned 

94.8 percent as much as men in the same age group, while the women's-to-men's earnings 

ratio was 78.4 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—$1,840 for 

men and $1,350 for women. Both men ($799) and women ($686) earned the least when 

employed in service occupations. (See table 4.)

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

diploma had median weekly earnings of $721, compared with $905 for high school graduates 

(no college) and $1,620 for those holding a bachelor's degree and higher. Among college 

graduates with advanced degrees (master's, professional, and doctoral degrees), the highest 

earning 10 percent of male workers made $4,528 or more per week, compared with $3,478 or 

more for their female counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings were $1,118 in the third quarter of 2023, little 

changed from the previous quarter ($1,107). (See table 1.)

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

The Usual Weekly Earnings news release for the fourth quarter of 2023, scheduled for release in 

January 2024, 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 

2019 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

$

2014

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......................................... 114,418 63,802 50,616 875 956 779 351 384 312

2nd quarter........................................ 115,529 64,194 51,336 881 963 783 351 384 313

3rd quarter......................................... 116,256 64,448 51,808 891 979 796 354 389 316

4th quarter......................................... 116,087 64,154 51,932 897 992 795 355 392 315

2019

1st quarter......................................... 117,055 64,742 52,313 899 996 803 355 393 317

2nd quarter........................................ 117,390 65,161 52,229 913 1,003 818 358 393 320

3rd quarter......................................... 117,533 64,993 52,540 921 1,008 824 360 393 322

4th quarter......................................... 118,370 65,147 53,223 935 1,022 842 362 396 327

2020

1st quarter......................................... 116,743 64,101 52,642 951 1,058 854 367 409 330

2nd quarter........................................ 104,372 57,866 46,506 1,008 1,090 919 393 425 359

3rd quarter......................................... 108,935 60,133 48,802 994 1,108 900 384 428 347

4th quarter......................................... 111,571 61,600 49,970 983 1,072 894 377 411 342

2021

1st quarter......................................... 112,778 61,850 50,928 983 1,082 898 373 410 340

2nd quarter........................................ 113,519 62,397 51,123 996 1,096 906 371 408 337

3rd quarter......................................... 114,613 63,187 51,427 1,001 1,103 913 367 404 335

4th quarter......................................... 116,407 64,336 52,072 1,010 1,104 929 362 396 333

2022

1st quarter......................................... 118,154 65,166 52,988 1,032 1,122 937 362 394 329

2nd quarter........................................ 118,829 65,404 53,425 1,048 1,147 951 359 393 326

3rd quarter......................................... 119,465 65,774 53,691 1,070 1,168 967 362 395 327

4th quarter......................................... 119,064 65,910 53,154 1,084 1,177 975 363 394 327

2023

1st quarter......................................... 119,911 66,240 53,671 1,095 1,181 992 363 392 329

2nd quarter........................................ 121,446 67,234 54,212 1,107 1,185 1,001 365 391 330

3rd quarter......................................... 121,450 66,754 54,696 1,118 1,209 1,004 365 395 328

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

2022

3rd

2023

In current dollars In constant (1982-84)

dollars

3rd

2022

3rd

2023

3rd

2022

3rd

2023

SEX AND AGE

Total, 16 years and over.............................................. 120,227 122,095 $1,070 $1,118 $361 $364

Men, 16 years and over............................................ 66,369 67,223 1,164 1,208 393 394

16 to 24 years.................................................... 6,615 6,676 713 733 241 239

25 years and over................................................ 59,753 60,547 1,237 1,287 417 420

Women, 16 years and over........................................ 53,858 54,871 971 1,005 328 328

16 to 24 years.................................................... 4,945 5,466 639 695 215 226

25 years and over................................................ 48,913 49,405 1,018 1,062 343 346

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 91,403 92,250 1,101 1,137 371 371

Men................................................................. 51,536 51,848 1,192 1,231 402 401

Women............................................................. 39,868 40,402 990 1,021 334 333

Black or African American......................................... 15,996 16,552 881 918 297 299

Men................................................................. 7,762 8,101 922 968 311 315

Women............................................................. 8,234 8,451 830 886 280 289

Asian.................................................................. 8,466 8,857 1,442 1,444 486 471

Men................................................................. 4,728 4,798 1,656 1,630 559 531

Women............................................................. 3,739 4,059 1,177 1,217 397 397

Hispanic or Latino ethnicity........................................ 22,210 23,412 861 885 291 288

Men................................................................. 13,222 13,824 908 931 306 303

Women............................................................. 8,988 9,588 782 813 264 265

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 2023 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..................................................... 122,095 $1,118 67,223 $1,208 54,871 $1,005

16 to 24 years....................................................... 12,142 714 6,676 733 5,466 695

16 to 19 years.................................................... 1,786 620 1,014 665 772 573

20 to 24 years.................................................... 10,356 731 5,662 767 4,694 712

25 years and over................................................... 109,953 1,172 60,547 1,287 49,405 1,062

25 to 54 years.................................................... 84,197 1,166 46,581 1,265 37,617 1,061

25 to 34 years.................................................. 29,734 1,040 16,408 1,094 13,326 981

35 to 44 years.................................................. 28,895 1,263 16,089 1,401 12,806 1,111

45 to 54 years.................................................. 25,569 1,272 14,083 1,404 11,485 1,124

55 years and over................................................ 25,755 1,196 13,967 1,363 11,789 1,069

55 to 64 years.................................................. 20,167 1,222 10,901 1,395 9,265 1,077

65 years and over............................................. 5,589 1,128 3,065 1,197 2,523 1,045

White

16 years and over................................................... 92,250 1,137 51,848 1,231 40,402 1,021

16 to 24 years.................................................... 9,397 717 5,188 757 4,208 692

25 years and over................................................ 82,853 1,199 46,659 1,313 36,194 1,085

25 to 54 years.................................................. 62,695 1,187 35,338 1,284 27,356 1,078

55 years and over............................................. 20,159 1,231 11,321 1,383 8,837 1,108

Black or African American

16 years and over................................................... 16,552 918 8,101 968 8,451 886

16 to 24 years.................................................... 1,480 678 753 680 728 676

25 years and over................................................ 15,072 955 7,349 1,013 7,723 913

25 to 54 years.................................................. 11,819 956 5,880 996 5,939 924

55 years and over............................................. 3,253 950 1,468 1,131 1,784 883

Asian

16 years and over................................................... 8,857 1,444 4,798 1,630 4,059 1,217

16 to 24 years.................................................... 621 829 346 796 275 876

25 years and over................................................ 8,236 1,515 4,452 1,747 3,784 1,250

25 to 54 years.................................................. 6,565 1,552 3,613 1,759 2,952 1,336

55 years and over............................................. 1,671 1,344 839 1,656 832 1,151

Hispanic or Latino ethnicity

16 years and over................................................... 23,412 885 13,824 931 9,588 813

16 to 24 years.................................................... 2,963 668 1,668 690 1,295 641

25 years and over................................................ 20,449 935 12,156 987 8,293 877

25 to 54 years.................................................. 16,660 940 9,907 991 6,753 884

55 years and over............................................. 3,790 912 2,249 964 1,540 845

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

2022

3rd

2023

3rd

2022

3rd

2023

TOTAL

Management, professional, and related occupations................................ 54,788 56,447 $1,484 $1,534

Management, business, and financial operations occupations................... 23,341 24,380 1,553 1,645

Professional and related occupations............................................... 31,447 32,067 1,426 1,465

Service occupations...................................................................... 15,713 16,323 709 724

Sales and office occupations............................................................ 21,903 21,795 881 914

Sales and related occupations....................................................... 9,114 9,122 938 994

Office and administrative support occupations..................................... 12,789 12,674 846 882

Natural resources, construction, and maintenance occupations.................... 11,473 11,369 975 1,004

Farming, fishing, and forestry occupations......................................... 882 833 652 689

Construction and extraction occupations............................................ 6,462 6,414 981 988

Installation, maintenance, and repair occupations................................. 4,129 4,122 1,053 1,114

Production, transportation, and material moving occupations....................... 16,349 16,160 817 883

Production occupations................................................................ 7,501 7,438 859 892

Transportation and material moving occupations.................................. 8,848 8,723 794 873

Men

Management, professional, and related occupations................................ 26,582 27,017 1,735 1,840

Management, business, and financial operations occupations................... 12,492 12,536 1,730 1,881

Professional and related occupations............................................... 14,090 14,480 1,739 1,772

Service occupations...................................................................... 7,703 8,018 770 799

Sales and office occupations............................................................ 8,704 8,983 1,020 1,104

Sales and related occupations....................................................... 5,105 5,036 1,130 1,237

Office and administrative support occupations..................................... 3,599 3,947 944 999

Natural resources, construction, and maintenance occupations.................... 10,869 10,730 990 1,015

Farming, fishing, and forestry occupations......................................... 644 615 685 740

Construction and extraction occupations............................................ 6,219 6,152 988 993

Installation, maintenance, and repair occupations................................. 4,005 3,964 1,059 1,130

Production, transportation, and material moving occupations....................... 12,511 12,475 897 944

Production occupations................................................................ 5,351 5,319 944 965

Transportation and material moving occupations.................................. 7,160 7,156 838 933

Women

Management, professional, and related occupations................................ 28,206 29,431 1,296 1,350

Management, business, and financial operations occupations................... 10,849 11,844 1,418 1,453

Professional and related occupations............................................... 17,357 17,587 1,235 1,289

Service occupations...................................................................... 8,011 8,305 659 686

Sales and office occupations............................................................ 13,199 12,812 807 843

Sales and related occupations....................................................... 4,009 4,086 782 824

Office and administrative support occupations..................................... 9,190 8,726 813 848

Natural resources, construction, and maintenance occupations.................... 604 639 645 756

Farming, fishing, and forestry occupations......................................... 238 219 576 613

Construction and extraction occupations............................................ 242 262 829 819

Installation, maintenance, and repair occupations................................. 124 158 621 903

Production, transportation, and material moving occupations....................... 3,838 3,685 696 731

Production occupations................................................................ 2,150 2,118 704 775

Transportation and material moving occupations.................................. 1,688 1,567 687 698

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 2023 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.............................................. 122,095 $587 $754 $1,118 $1,767 $2,781

Men................................................................... 67,223 611 801 1,208 1,913 2,916

Women............................................................... 54,871 548 712 1,005 1,546 2,412

White.................................................................. 92,250 597 772 1,137 1,778 2,785

Men................................................................. 51,848 623 819 1,231 1,920 2,918

Women............................................................. 40,402 567 723 1,021 1,551 2,381

Black or African American......................................... 16,552 508 667 918 1,457 2,251

Men................................................................. 8,101 541 693 968 1,548 2,283

Women............................................................. 8,451 494 631 886 1,379 2,097

Asian.................................................................. 8,857 643 909 1,444 2,390 3,531

Men................................................................. 4,798 686 1,012 1,630 2,688 3,798

Women............................................................. 4,059 610 809 1,217 2,013 3,273

Hispanic or Latino ethnicity........................................ 23,412 516 666 885 1,335 1,993

Men................................................................. 13,824 554 694 931 1,420 2,108

Women............................................................. 9,588 489 626 813 1,172 1,841

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 109,953 608 796 1,172 1,871 2,890

Less than a high school diploma.................................. 5,909 481 591 721 978 1,249

High school graduates, no college1

............................... 26,372 548 686 905 1,255 1,751

Some college or associate degree................................ 26,590 591 745 1,012 1,470 2,102

Bachelor’s degree and higher2.................................... 51,082 772 1,096 1,620 2,474 3,543

Bachelor’s degree only.......................................... 31,300 733 1,005 1,499 2,284 3,227

Advanced degree................................................. 19,781 887 1,249 1,864 2,877 3,919

Men, 25 years and over............................................ 60,547 642 856 1,287 2,011 3,040

Less than a high school diploma............................... 4,076 506 619 791 1,036 1,368

High school graduates, no college1

............................ 16,322 598 738 994 1,393 1,904

Some college or associate degree............................. 14,539 633 809 1,157 1,650 2,342

Bachelor’s degree and higher2

................................. 25,609 866 1,237 1,892 2,841 3,910

Bachelor’s degree only........................................ 15,942 832 1,164 1,780 2,592 3,665

Advanced degree.............................................. 9,668 940 1,401 2,100 3,097 4,528

Women, 25 years and over........................................ 49,405 580 744 1,062 1,619 2,511

Less than a high school diploma............................... 1,833 416 516 642 773 1,019

High school graduates, no college1

............................ 10,050 488 620 792 1,045 1,369

Some college or associate degree............................. 12,050 533 688 905 1,221 1,747

Bachelor’s degree and higher2................................. 25,472 732 980 1,426 2,086 3,100

Bachelor’s degree only........................................ 15,359 691 896 1,283 1,896 2,776

Advanced degree.............................................. 10,114 853 1,168 1,615 2,459 3,478

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

2022

3rd

2023

3rd

2022

3rd

2023

SEX AND AGE

Total, 16 years and over................................................................. 21,827 22,739 $352 $371

Men, 16 years and over............................................................... 7,642 8,107 350 361

16 to 24 years........................................................................ 3,261 3,410 281 301

25 years and over................................................................... 4,381 4,697 415 437

Women, 16 years and over........................................................... 14,186 14,632 354 377

16 to 24 years........................................................................ 4,647 4,632 276 285

25 years and over................................................................... 9,539 10,000 412 430

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 17,003 17,630 353 375

Men.................................................................................... 5,861 6,106 357 357

Women................................................................................ 11,143 11,524 351 382

Black or African American............................................................ 2,525 2,555 330 355

Men.................................................................................... 986 987 316 350

Women................................................................................ 1,538 1,568 350 358

Asian..................................................................................... 1,358 1,415 387 392

Men.................................................................................... 398 580 390 409

Women................................................................................ 959 836 386 372

Hispanic or Latino ethnicity........................................................... 4,001 4,412 343 375

Men.................................................................................... 1,310 1,478 362 367

Women................................................................................ 2,691 2,934 333 378

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.