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Economic News Release
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Usual Weekly Earnings of Wage and Salary Workers News Release

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 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 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 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 college(1)

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 higher(2)

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 college(1)

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 higher(2)

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 college(1)

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 higher(2)

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

Footnotes
(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.


Last Modified Date: April 16, 2024