For release 10:00 a.m. (ET) Tuesday, April 16, 2024 USDL-24-0699 

Technical information: (202) 691-6378 • cpsinfo@bls.gov • www.bls.gov/cps 

Media contact: (202) 691-5902 • PressOffice@bls.gov

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

FIRST QUARTER 2024

Median weekly earnings of the nation's 119.2 million full-time wage and salary workers were 

$1,139 in the first quarter of 2024 (not seasonally adjusted), the U.S. Bureau of Labor Statistics 

reported today. This was 3.5 percent higher than a year earlier, compared with a gain of 3.2 

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

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

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

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

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

Highlights from the first-quarter data: 

• Median weekly earnings of full-time workers were $1,139 in the first quarter of 2024. 

Women had median weekly earnings of $1,021, or 83.2 percent of the $1,227 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 94.9 percent for Black 

women, 79.3 percent for Asian women, and 90.3 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median earnings of Hispanics who worked full 

time ($879) were lower than those of Blacks ($908), Whites ($1,157), and Asians ($1,505).

By sex, median weekly earnings for Black men were $935, or 74.6 percent of the median for 

White men ($1,254). Median earnings for Hispanic men were $914, or 72.9 percent of the 

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

earnings were $887, or 85.3 percent of those for White women ($1,040), and earnings for 

Hispanic women were $825, or 79.3 percent of those for White women. Earnings of Asian 

men ($1,679) and women ($1,331) were higher than those of their White counterparts. (See 

table 2.) 

• By age, usual weekly earnings were highest for men ages 35 and over: median weekly 

earnings were $1,373 for men ages 35 to 44, $1,442 for men ages 45 to 54, $1,407 for men 
-2-

ages 55 to 64, and $1,381 for men 65 years and over. Among women, usual weekly earnings 

were highest for workers ages 35 to 64: median weekly earnings were $1,115 for women 

ages 35 to 44, $1,156 for women ages 45 to 54, and $1,092 for women ages 55 to 64. Men 

and women ages 16 to 24 had the lowest median weekly earnings, $767 and $703, 

respectively. Men's and women's earnings were closer among younger workers than older 

workers; for example, women ages 16 to 24 earned 91.7 percent as much as men in the same 

age group, while the women's-to-men's earnings ratio was 76.1 percent for those age 55 and 

over. (See table 3.) 

• Among the major occupational groups, people employed full time in management,

professional, and related occupations had the highest median weekly earnings—$1,875 for

men and $1,375 for women. People employed in service occupations earned the least—$833

for men, and $694 for women. (See table 4.)

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

diploma had median weekly earnings of $718, compared with $901 for high school graduates

(no college) and $1,680 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 $4,867 or more per week, compared with $3,725 or

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

• Seasonally adjusted median weekly earnings were $1,136 in the first quarter of 2024, little

changed from the previous quarter ($1,142). (See table 1.)

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

Seasonally adjusted data for median usual weekly earnings in constant (1982-84) dollars have 

been updated using revised seasonally adjusted data for the Consumer Price Index for All 

Urban Consumers (CPI-U). (Data are shown in table 1 of the news release.) Seasonally adjusted 

constant (1982-84) dollar estimates back to the first quarter of 2019 were subject to revision. 
Technical Note

The estimates in this news 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 onefourth 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 people, 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 people 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

$

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......................................... 117,111 64,772 52,338 899 996 803 355 393 317

2nd quarter........................................ 117,299 65,071 52,228 914 1,003 818 358 393 320

3rd quarter......................................... 117,501 65,010 52,491 921 1,007 825 360 393 322

4th quarter......................................... 118,450 65,202 53,248 934 1,022 842 362 396 327

2020

1st quarter......................................... 116,829 64,162 52,667 951 1,059 853 367 409 330

2nd quarter........................................ 104,222 57,716 46,506 1,008 1,090 919 393 425 359

3rd quarter......................................... 108,903 60,146 48,757 995 1,108 900 384 427 347

4th quarter......................................... 111,671 61,678 49,994 983 1,072 893 376 410 342

2021

1st quarter......................................... 112,893 61,940 50,952 983 1,082 897 373 410 340

2nd quarter........................................ 113,300 62,178 51,122 996 1,098 905 371 409 337

3rd quarter......................................... 114,607 63,229 51,379 1,002 1,104 915 367 404 335

4th quarter......................................... 116,525 64,429 52,096 1,009 1,103 928 362 396 333

2022

1st quarter......................................... 118,307 65,294 53,013 1,032 1,121 936 362 394 329

2nd quarter........................................ 118,514 65,089 53,424 1,048 1,148 950 359 394 326

3rd quarter......................................... 119,507 65,866 53,641 1,071 1,168 970 362 395 328

4th quarter......................................... 119,204 66,025 53,179 1,083 1,175 973 363 394 326

2023

1st quarter......................................... 120,010 66,306 53,704 1,095 1,179 992 363 391 329

2nd quarter........................................ 121,029 66,807 54,222 1,107 1,185 999 365 390 329

3rd quarter......................................... 121,376 66,726 54,650 1,119 1,212 1,006 366 396 329

4th quarter......................................... 121,257 67,010 54,247 1,142 1,230 1,027 371 399 333

2024

1st quarter......................................... 120,317 65,917 54,400 1,136 1,221 1,026 365 393 330

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

1st

2023

1st

2024

In current dollars In constant (1982-84)

dollars

1st

2023

1st

2024

1st

2023

1st

2024

SEX AND AGE

Total, 16 years and over.............................................. 119,221 119,168 $1,100 $1,139 $366 $367

Men, 16 years and over............................................ 65,815 65,070 1,186 1,227 395 396

16 to 24 years.................................................... 6,038 5,797 751 767 250 247

25 years and over................................................ 59,777 59,273 1,253 1,313 417 423

Women, 16 years and over........................................ 53,406 54,098 996 1,021 331 329

16 to 24 years.................................................... 4,749 4,719 690 703 230 226

25 years and over................................................ 48,657 49,378 1,034 1,082 344 349

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 89,899 89,951 1,130 1,157 376 373

Men................................................................. 50,855 50,105 1,222 1,254 406 404

Women............................................................. 39,044 39,846 1,007 1,040 335 335

Black or African American......................................... 16,309 16,153 886 908 295 293

Men................................................................. 7,847 7,756 909 935 302 301

Women............................................................. 8,462 8,396 862 887 287 286

Asian.................................................................. 8,547 8,568 1,468 1,505 488 485

Men................................................................. 4,707 4,680 1,573 1,679 523 541

Women............................................................. 3,840 3,888 1,313 1,331 437 429

Hispanic or Latino ethnicity........................................ 22,193 23,019 868 879 289 283

Men................................................................. 13,096 13,429 917 914 305 295

Women............................................................. 9,098 9,590 779 825 259 266

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all

races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the

release of January data.
Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino

ethnicity, and sex, 1st quarter 2024 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..................................................... 119,168 $1,139 65,070 $1,227 54,098 $1,021

16 to 24 years....................................................... 10,516 733 5,797 767 4,719 703

16 to 19 years.................................................... 1,338 619 800 651 539 589

20 to 24 years.................................................... 9,178 757 4,997 791 4,180 719

25 years and over................................................... 108,652 1,190 59,273 1,313 49,378 1,082

25 to 54 years.................................................... 83,500 1,177 45,518 1,269 37,982 1,085

25 to 34 years.................................................. 29,217 1,056 15,987 1,113 13,229 1,001

35 to 44 years.................................................. 28,949 1,233 15,887 1,373 13,062 1,115

45 to 54 years.................................................. 25,335 1,303 13,644 1,442 11,690 1,156

55 years and over................................................ 25,152 1,239 13,755 1,405 11,397 1,069

55 to 64 years.................................................. 19,830 1,254 10,775 1,407 9,055 1,092

65 years and over............................................. 5,322 1,175 2,981 1,381 2,342 987

White

16 years and over................................................... 89,951 1,157 50,105 1,254 39,846 1,040

16 to 24 years.................................................... 8,079 740 4,479 771 3,600 713

25 years and over................................................ 81,872 1,215 45,627 1,342 36,246 1,096

25 to 54 years.................................................. 61,947 1,202 34,558 1,296 27,389 1,102

55 years and over............................................. 19,926 1,266 11,069 1,450 8,857 1,077

Black or African American

16 years and over................................................... 16,153 908 7,756 935 8,396 887

16 to 24 years.................................................... 1,330 681 679 738 651 615

25 years and over................................................ 14,823 945 7,078 986 7,745 917

25 to 54 years.................................................. 11,818 936 5,659 993 6,159 902

55 years and over............................................. 3,005 999 1,419 962 1,586 1,041

Asian

16 years and over................................................... 8,568 1,505 4,680 1,679 3,888 1,331

16 to 24 years.................................................... 465 887 224 993 241 778

25 years and over................................................ 8,103 1,557 4,455 1,742 3,648 1,403

25 to 54 years.................................................. 6,544 1,620 3,553 1,759 2,991 1,514

55 years and over............................................. 1,559 1,333 903 1,590 656 1,003

Hispanic or Latino ethnicity

16 years and over................................................... 23,019 879 13,429 914 9,590 825

16 to 24 years.................................................... 2,800 699 1,676 712 1,124 680

25 years and over................................................ 20,219 915 11,753 973 8,466 865

25 to 54 years.................................................. 16,419 919 9,551 960 6,868 880

55 years and over............................................. 3,800 902 2,202 1,012 1,599 797

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all

races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the

release of January data.
Table 4. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, quarterly

averages, not seasonally adjusted

Occupation and sex

Number of workers

(in thousands) Median weekly earnings

1st

2023

1st

2024

1st

2023

1st

2024

TOTAL

Management, professional, and related occupations................................ 55,303 56,311 $1,531 $1,569

Management, business, and financial operations occupations................... 23,463 23,879 1,642 1,700

Professional and related occupations............................................... 31,840 32,432 1,457 1,485

Service occupations...................................................................... 15,003 14,800 711 739

Sales and office occupations............................................................ 21,750 21,006 929 946

Sales and related occupations....................................................... 9,061 8,851 988 996

Office and administrative support occupations..................................... 12,689 12,155 902 920

Natural resources, construction, and maintenance occupations.................... 11,213 11,268 993 1,003

Farming, fishing, and forestry occupations......................................... 727 769 632 725

Construction and extraction occupations............................................ 6,406 6,336 981 992

Installation, maintenance, and repair occupations................................. 4,081 4,163 1,100 1,107

Production, transportation, and material moving occupations....................... 15,951 15,782 833 861

Production occupations................................................................ 7,427 7,317 880 894

Transportation and material moving occupations.................................. 8,524 8,465 799 836

Men

Management, professional, and related occupations................................ 26,936 26,642 1,775 1,875

Management, business, and financial operations occupations................... 12,186 12,242 1,870 1,903

Professional and related occupations............................................... 14,749 14,399 1,741 1,806

Service occupations...................................................................... 7,262 7,172 793 833

Sales and office occupations............................................................ 8,912 8,629 1,024 1,137

Sales and related occupations....................................................... 5,035 5,029 1,167 1,217

Office and administrative support occupations..................................... 3,877 3,600 978 1,076

Natural resources, construction, and maintenance occupations.................... 10,715 10,619 1,007 1,013

Farming, fishing, and forestry occupations......................................... 543 602 688 741

Construction and extraction occupations............................................ 6,199 6,088 988 996

Installation, maintenance, and repair occupations................................. 3,973 3,928 1,112 1,127

Production, transportation, and material moving occupations....................... 11,991 12,009 903 904

Production occupations................................................................ 5,259 5,307 956 947

Transportation and material moving occupations.................................. 6,731 6,702 863 874

Women

Management, professional, and related occupations................................ 28,368 29,669 1,344 1,375

Management, business, and financial operations occupations................... 11,277 11,637 1,464 1,512

Professional and related occupations............................................... 17,091 18,032 1,266 1,307

Service occupations...................................................................... 7,741 7,628 662 694

Sales and office occupations............................................................ 12,838 12,377 868 882

Sales and related occupations....................................................... 4,026 3,822 830 833

Office and administrative support occupations..................................... 8,812 8,555 881 894

Natural resources, construction, and maintenance occupations.................... 498 650 664 848

Farming, fishing, and forestry occupations......................................... 184 167 597 697

Construction and extraction occupations............................................ 207 248 731 898

Installation, maintenance, and repair occupations................................. 108 234 657 915

Production, transportation, and material moving occupations....................... 3,960 3,774 688 752

Production occupations................................................................ 2,168 2,010 713 766

Transportation and material moving occupations.................................. 1,793 1,764 649 724

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, 1st quarter 2024 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.............................................. 119,168 $594 $772 $1,139 $1,812 $2,820

Men................................................................... 65,070 615 817 1,227 1,936 3,003

Women............................................................... 54,098 576 730 1,021 1,607 2,407

White.................................................................. 89,951 603 791 1,157 1,835 2,821

Men................................................................. 50,105 632 846 1,254 1,980 3,018

Women............................................................. 39,846 580 739 1,040 1,612 2,389

Black or African American......................................... 16,153 543 692 908 1,431 2,121

Men................................................................. 7,756 549 707 935 1,515 2,171

Women............................................................. 8,396 538 680 887 1,348 2,111

Asian.................................................................. 8,568 657 917 1,505 2,497 3,834

Men................................................................. 4,680 696 988 1,679 2,707 3,889

Women............................................................. 3,888 618 853 1,331 2,215 3,550

Hispanic or Latino ethnicity........................................ 23,019 529 660 879 1,305 1,954

Men................................................................. 13,429 542 682 914 1,397 2,084

Women............................................................. 9,590 515 633 825 1,175 1,813

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 108,652 613 810 1,190 1,888 2,897

Less than a high school diploma.................................. 6,022 470 586 718 973 1,291

High school graduates, no college1

............................... 25,657 560 695 901 1,249 1,802

Some college or associate degree................................ 26,255 598 757 1,027 1,460 2,042

Bachelor’s degree and higher2.................................... 50,719 801 1,129 1,680 2,505 3,825

Bachelor’s degree only.......................................... 31,209 759 1,031 1,551 2,310 3,347

Advanced degree................................................. 19,510 922 1,314 1,899 2,888 4,334

Men, 25 years and over............................................ 59,273 641 866 1,313 2,024 3,112

Less than a high school diploma............................... 4,071 482 606 788 1,024 1,416

High school graduates, no college1

............................ 15,877 588 729 982 1,393 1,955

Some college or associate degree............................. 14,225 645 843 1,171 1,658 2,310

Bachelor’s degree and higher2

................................. 25,100 874 1,294 1,906 2,902 4,134

Bachelor’s degree only........................................ 15,731 834 1,192 1,784 2,678 3,847

Advanced degree.............................................. 9,369 994 1,489 2,186 3,254 4,867

Women, 25 years and over........................................ 49,378 593 760 1,082 1,671 2,491

Less than a high school diploma............................... 1,951 447 547 659 792 1,045

High school graduates, no college1

............................ 9,780 512 643 804 1,029 1,473

Some college or associate degree............................. 12,029 561 702 906 1,219 1,679

Bachelor’s degree and higher2................................. 25,619 751 1,008 1,479 2,145 3,086

Bachelor’s degree only........................................ 15,478 706 928 1,337 1,929 2,879

Advanced degree.............................................. 10,141 877 1,180 1,669 2,398 3,725

1

Includes persons with a high school diploma or equivalent.

2

Includes persons with bachelor’s, master’s, professional, and doctoral degrees.

NOTE: Ten percent of all full-time wage and salary workers earn less than the upper limit of the first decile; 25 percent earn less than the upper limit

of the first quartile; 50 percent earn less than the upper limit of the second quartile, or median; 75 percent earn less than the upper limit of the third

quartile; and 90 percent earn less than the upper limit of the ninth decile.

Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races.

Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release

of January data.
Table 6. Median usual weekly earnings of part-time wage and salary workers by selected characteristics,

quarterly averages, not seasonally adjusted

Characteristic

Number of workers

(in thousands) Median weekly earnings

1st

2023

1st

2024

1st

2023

1st

2024

SEX AND AGE

Total, 16 years and over................................................................. 24,058 24,633 $354 $371

Men, 16 years and over............................................................... 8,537 8,911 346 359

16 to 24 years........................................................................ 3,550 3,496 283 266

25 years and over................................................................... 4,987 5,416 421 475

Women, 16 years and over........................................................... 15,521 15,721 360 378

16 to 24 years........................................................................ 4,910 4,836 264 268

25 years and over................................................................... 10,611 10,885 413 437

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 18,771 18,804 358 376

Men.................................................................................... 6,550 6,884 351 364

Women................................................................................ 12,221 11,921 364 382

Black or African American............................................................ 2,822 3,015 328 327

Men.................................................................................... 1,144 1,125 323 306

Women................................................................................ 1,678 1,890 330 339

Asian..................................................................................... 1,370 1,560 396 426

Men.................................................................................... 494 505 364 434

Women................................................................................ 875 1,055 415 425

Hispanic or Latino ethnicity........................................................... 4,800 5,017 379 380

Men.................................................................................... 1,784 1,952 392 379

Women................................................................................ 3,016 3,064 375 381

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.