For release 10:00 a.m. (ET) Tuesday, July 18, 2023 USDL-23-1586 

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 2023

Median weekly earnings of the nation's 121.5 million full-time wage and salary workers were 

$1,100 in the second quarter of 2023 (not seasonally adjusted), the U.S. Bureau of Labor 

Statistics reported today. This was 5.7 percent higher than a year earlier, compared with a gain of 

4.0 percent in the Consumer Price Index for All Urban Consumers (CPI-U) over the same period. 

Data on usual weekly earnings are collected as part of the Current Population Survey, a 

nationwide sample survey of households in which respondents are asked, among other things, 

how much each wage and salary worker usually earns. (See the Technical Note in this news 

release.) Data shown in this news release are not seasonally adjusted unless otherwise specified. 

Highlights from the second-quarter data: 

• Median weekly earnings of full-time workers were $1,100 in the second quarter of 2023. 

Women had median weekly earnings of $993, or 84.1 percent of the $1,181 median for men. 

(See table 2.) 

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

84.6 percent as much as their male counterparts, compared with 89.9 percent for Black 

women, 81.0 percent for Asian women, and 88.3 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($913) and 

Hispanics ($851) working full-time jobs were lower than those of Whites ($1,126) and 

Asians ($1,449). By sex, median weekly earnings for Black men were $975, or 81.2 percent 

of the median for White men ($1,201). Median earnings for Hispanic men were $892, or 74.3 

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

women's median earnings were $877, or 86.3 percent of those for White women ($1,016), 

and earnings for Hispanic women were $788, or 77.6 percent of those for White women. 

Earnings of Asian men ($1,617) and women ($1,310) 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 $1,319 for men ages 35 to 44, $1,385 for men ages 45 to 54, and $1,341 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 $1,134 for women ages 35 to 44, $1,095 for women ages 45 to 

54, and $1,043 for women ages 55 to 64. Men and women ages 16 to 24 had the lowest 

median weekly earnings, $714 and $672, respectively. Men's and women's earnings were 

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

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

ratio was 79.6 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—$1,751 for 

men and $1,312 for women. Both men ($777) and women ($675) 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 $713, compared with $889 for high school graduates 

(no college) and $1,588 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 $4,715 or more per week, compared with $3,447 or 

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

• Seasonally adjusted median weekly earnings were $1,107 in the second quarter of 2023, 

little changed from the previous quarter ($1,095). (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

$

2014

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......................................... 114,418 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

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

2022

2nd

2023

In current dollars In constant (1982-84)

dollars

2nd

2022

2nd

2023

2nd

2022

2nd

2023

SEX AND AGE

Total, 16 years and over.............................................. 118,887 121,516 $1,041 $1,100 $356 $362

Men, 16 years and over............................................ 65,478 67,310 1,144 1,181 391 388

16 to 24 years.................................................... 6,144 6,608 707 714 242 235

25 years and over................................................ 59,334 60,702 1,211 1,255 414 413

Women, 16 years and over........................................ 53,409 54,207 943 993 322 326

16 to 24 years.................................................... 4,919 5,089 656 672 224 221

25 years and over................................................ 48,490 49,117 989 1,050 338 345

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 90,564 91,952 1,068 1,126 365 370

Men................................................................. 51,073 52,307 1,161 1,201 397 395

Women............................................................. 39,490 39,645 956 1,016 327 334

Black or African American......................................... 15,820 16,631 885 913 303 300

Men................................................................. 7,684 7,887 953 975 326 321

Women............................................................. 8,137 8,744 840 877 287 288

Asian.................................................................. 8,045 8,440 1,336 1,449 457 476

Men................................................................. 4,325 4,684 1,496 1,617 511 531

Women............................................................. 3,720 3,756 1,182 1,310 404 431

Hispanic or Latino ethnicity........................................ 22,488 22,846 812 851 278 280

Men................................................................. 13,452 13,533 877 892 300 293

Women............................................................. 9,036 9,313 752 788 257 259

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 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..................................................... 121,516 $1,100 67,310 $1,181 54,207 $993

16 to 24 years....................................................... 11,697 698 6,608 714 5,089 672

16 to 19 years.................................................... 1,565 603 980 618 585 579

20 to 24 years.................................................... 10,132 712 5,627 732 4,505 687

25 years and over................................................... 109,819 1,157 60,702 1,255 49,117 1,050

25 to 54 years.................................................... 84,494 1,155 46,663 1,247 37,831 1,055

25 to 34 years.................................................. 30,044 1,042 16,520 1,121 13,524 966

35 to 44 years.................................................. 28,628 1,229 16,186 1,319 12,442 1,134

45 to 54 years.................................................. 25,822 1,233 13,958 1,385 11,865 1,095

55 years and over................................................ 25,325 1,166 14,039 1,296 11,286 1,032

55 to 64 years.................................................. 19,991 1,186 10,995 1,341 8,995 1,043

65 years and over............................................. 5,334 1,101 3,044 1,161 2,291 999

White

16 years and over................................................... 91,952 1,126 52,307 1,201 39,645 1,016

16 to 24 years.................................................... 8,933 703 5,192 719 3,741 674

25 years and over................................................ 83,019 1,177 47,115 1,272 35,904 1,082

25 to 54 years.................................................. 62,850 1,172 35,611 1,263 27,240 1,086

55 years and over............................................. 20,169 1,194 11,504 1,322 8,665 1,065

Black or African American

16 years and over................................................... 16,631 913 7,887 975 8,744 877

16 to 24 years.................................................... 1,625 654 800 648 824 657

25 years and over................................................ 15,007 952 7,087 1,026 7,920 898

25 to 54 years.................................................. 11,854 944 5,627 1,014 6,226 895

55 years and over............................................. 3,153 985 1,460 1,128 1,693 925

Asian

16 years and over................................................... 8,440 1,449 4,684 1,617 3,756 1,310

16 to 24 years.................................................... 522 936 307 854 215 983

25 years and over................................................ 7,918 1,491 4,377 1,729 3,541 1,328

25 to 54 years.................................................. 6,476 1,528 3,600 1,744 2,876 1,399

55 years and over............................................. 1,442 1,293 777 1,572 665 997

Hispanic or Latino ethnicity

16 years and over................................................... 22,846 851 13,533 892 9,313 788

16 to 24 years.................................................... 3,035 663 1,775 678 1,260 638

25 years and over................................................ 19,811 904 11,758 948 8,053 842

25 to 54 years.................................................. 16,301 910 9,707 949 6,594 870

55 years and over............................................. 3,510 874 2,052 947 1,459 742

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

2022

2nd

2023

2nd

2022

2nd

2023

TOTAL

Management, professional, and related occupations................................ 53,386 55,929 $1,459 $1,501

Management, business, and financial operations occupations................... 22,515 23,892 1,597 1,588

Professional and related occupations............................................... 30,871 32,037 1,377 1,443

Service occupations...................................................................... 15,755 16,080 707 718

Sales and office occupations............................................................ 22,329 21,843 867 914

Sales and related occupations....................................................... 9,279 9,287 951 1,022

Office and administrative support occupations..................................... 13,049 12,555 824 878

Natural resources, construction, and maintenance occupations.................... 11,473 11,741 964 995

Farming, fishing, and forestry occupations......................................... 665 601 620 711

Construction and extraction occupations............................................ 6,480 7,000 913 982

Installation, maintenance, and repair occupations................................. 4,328 4,139 1,070 1,040

Production, transportation, and material moving occupations....................... 15,944 15,924 807 846

Production occupations................................................................ 7,385 7,180 833 897

Transportation and material moving occupations.................................. 8,559 8,744 790 814

Men

Management, professional, and related occupations................................ 25,680 26,835 1,743 1,751

Management, business, and financial operations occupations................... 11,714 12,423 1,883 1,805

Professional and related occupations............................................... 13,965 14,413 1,627 1,724

Service occupations...................................................................... 7,768 7,881 773 777

Sales and office occupations............................................................ 8,774 8,863 1,018 1,058

Sales and related occupations....................................................... 4,960 5,077 1,165 1,187

Office and administrative support occupations..................................... 3,814 3,786 918 947

Natural resources, construction, and maintenance occupations.................... 10,951 11,165 975 1,005

Farming, fishing, and forestry occupations......................................... 539 467 620 743

Construction and extraction occupations............................................ 6,261 6,713 915 987

Installation, maintenance, and repair occupations................................. 4,151 3,984 1,077 1,049

Production, transportation, and material moving occupations....................... 12,305 12,566 873 894

Production occupations................................................................ 5,391 5,407 914 949

Transportation and material moving occupations.................................. 6,914 7,158 832 854

Women

Management, professional, and related occupations................................ 27,707 29,093 1,265 1,312

Management, business, and financial operations occupations................... 10,800 11,470 1,399 1,403

Professional and related occupations............................................... 16,906 17,624 1,185 1,249

Service occupations...................................................................... 7,987 8,199 656 675

Sales and office occupations............................................................ 13,555 12,980 799 845

Sales and related occupations....................................................... 4,320 4,211 778 825

Office and administrative support occupations..................................... 9,235 8,769 804 849

Natural resources, construction, and maintenance occupations.................... 522 576 782 747

Farming, fishing, and forestry occupations......................................... 126 134 619 637

Construction and extraction occupations............................................ 219 287 710 807

Installation, maintenance, and repair occupations................................. 176 155 914 837

Production, transportation, and material moving occupations....................... 3,639 3,359 694 725

Production occupations................................................................ 1,995 1,773 695 749

Transportation and material moving occupations.................................. 1,645 1,586 693 710

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, 2nd 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.............................................. 121,516 $581 $741 $1,100 $1,735 $2,705

Men................................................................... 67,310 605 785 1,181 1,892 2,910

Women............................................................... 54,207 541 700 993 1,524 2,308

White.................................................................. 91,952 589 757 1,126 1,743 2,706

Men................................................................. 52,307 615 804 1,201 1,893 2,908

Women............................................................. 39,645 554 712 1,016 1,539 2,300

Black or African American......................................... 16,631 513 661 913 1,397 2,111

Men................................................................. 7,887 540 689 975 1,529 2,283

Women............................................................. 8,744 500 637 877 1,268 1,916

Asian.................................................................. 8,440 635 898 1,449 2,396 3,827

Men................................................................. 4,684 683 958 1,617 2,681 3,991

Women............................................................. 3,756 604 810 1,310 2,007 3,089

Hispanic or Latino ethnicity........................................ 22,846 513 649 851 1,253 1,903

Men................................................................. 13,533 541 682 892 1,308 2,021

Women............................................................. 9,313 494 610 788 1,169 1,722

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 109,819 603 783 1,157 1,811 2,814

Less than a high school diploma.................................. 6,227 415 574 713 947 1,274

High school graduates, no college1

............................... 26,918 548 681 889 1,236 1,756

Some college or associate degree................................ 26,515 591 735 1,010 1,434 2,019

Bachelor’s degree and higher2.................................... 50,159 782 1,083 1,588 2,394 3,818

Bachelor’s degree only.......................................... 30,842 741 1,000 1,467 2,191 3,372

Advanced degree................................................. 19,316 902 1,236 1,787 2,712 4,008

Men, 25 years and over............................................ 60,702 638 844 1,255 1,959 2,994

Less than a high school diploma............................... 4,300 432 599 761 1,023 1,438

High school graduates, no college1

............................ 16,592 596 722 984 1,404 1,945

Some college or associate degree............................. 14,303 634 813 1,158 1,635 2,300

Bachelor’s degree and higher2

................................. 25,507 862 1,171 1,811 2,760 4,018

Bachelor’s degree only........................................ 16,438 814 1,114 1,662 2,503 3,861

Advanced degree.............................................. 9,069 970 1,363 2,068 3,009 4,715

Women, 25 years and over........................................ 49,117 573 730 1,050 1,584 2,392

Less than a high school diploma............................... 1,928 386 509 623 783 965

High school graduates, no college1

............................ 10,325 488 616 764 1,023 1,365

Some college or associate degree............................. 12,213 541 679 887 1,208 1,620

Bachelor’s degree and higher2................................. 24,651 737 990 1,425 2,054 3,020

Bachelor’s degree only........................................ 14,404 692 913 1,280 1,888 2,835

Advanced degree.............................................. 10,248 850 1,151 1,591 2,313 3,447

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

2022

2nd

2023

2nd

2022

2nd

2023

SEX AND AGE

Total, 16 years and over................................................................. 22,545 23,096 $340 $358

Men, 16 years and over............................................................... 8,172 8,062 337 357

16 to 24 years........................................................................ 3,418 3,443 279 283

25 years and over................................................................... 4,754 4,619 410 433

Women, 16 years and over........................................................... 14,373 15,033 342 358

16 to 24 years........................................................................ 4,451 4,875 248 274

25 years and over................................................................... 9,922 10,158 394 420

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 17,278 18,139 343 363

Men.................................................................................... 6,060 6,176 343 361

Women................................................................................ 11,218 11,964 343 364

Black or African American............................................................ 2,811 2,487 322 333

Men.................................................................................... 1,143 1,003 317 339

Women................................................................................ 1,667 1,484 327 328

Asian..................................................................................... 1,336 1,394 369 371

Men.................................................................................... 505 472 384 393

Women................................................................................ 832 922 361 347

Hispanic or Latino ethnicity........................................................... 4,075 4,279 348 351

Men.................................................................................... 1,602 1,483 350 370

Women................................................................................ 2,473 2,796 347 342

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.