For release 10:00 a.m. (ET) Tuesday, April 18, 2023 USDL-23-0722

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 2023

Median weekly earnings of the nation's 119.2 million full-time wage and salary workers were $1,100 

in the first quarter of 2023 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 6.1 percent higher than a year earlier, compared with a gain of 5.8 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 $1,100 in the first quarter of 2023. Women had 

median weekly earnings of $996, or 84.0 percent of the $1,186 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 82.4 

percent as much as their male counterparts, compared with 94.8 percent for Black women, 83.5 

percent for Asian women, and 85.0 percent for Hispanic women. (See table 2.)

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($886) and 

Hispanics ($868) working full-time jobs were lower than those of Whites ($1,130) and Asians 

($1,468). By sex, median weekly earnings for Black men were $909, or 74.4 percent of the median 

for White men ($1,222). Median earnings for Hispanic men were $917, or 75.0 percent of the 

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

were $862, or 85.6 percent of those for White women ($1,007), and earnings for Hispanic women 

were $779, or 77.4 percent of those for White women. Earnings of Asian men ($1,573) and women 

($1,313) 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 

$1,329 for men ages 35 to 44, $1,389 for men ages 45 to 54, and $1,393 for men ages 55 to 64. 

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

earnings were $1,112 for women ages 35 to 44, $1,098 for women ages 45 to 54, and $1,044 for 

women ages 55 to 64. Men and women ages 16 to 24 had the lowest median weekly earnings, $751 
-2-

and $690, respectively. Men's and women's earnings were closer among younger workers than older 

workers; for example, women ages 16 to 24 earned 91.9 percent as much as men in the same age 

group, while the women's-to-men's earnings ratio was 75.1 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—$1,775 for men and $1,344 for 

women. Men employed in service occupations earned the least at $793. Women who worked in 

service occupations ($662); natural resources, construction, and maintenance occupations ($664);

and production, transportation, and material moving occupations ($688) earned the least. (See table 

4.)

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

median weekly earnings of $682, compared with $884 for high school graduates (no college) and 

$1,621 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 $5,007 or more per week, compared with $3,426 or more for their female 

counterparts. (See table 5.)

• Seasonally adjusted median weekly earnings were $1,095 in the first quarter of 2023, little 

changed from the previous quarter ($1,084). (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 this news release.) Seasonally adjusted constant (1982-84) dollar 

estimates back to the first quarter of 2018 were subject to revision.
Technical Note

The estimates in this release were obtained from the 

Current Population Survey (CPS), which provides basic 

information on the labor force, employment, and 

unemployment. The survey is conducted monthly for the 

Bureau of Labor Statistics (BLS) by the U.S. Census

Bureau using a scientifically selected national sample of 

about 60,000 eligible households, with coverage in all 50 

states and the District of Columbia. The earnings data are 

collected from one-fourth of the CPS monthly sample and 

are limited to wage and salary workers. All self-employed 

workers, both incorporated and unincorporated, are

excluded from CPS earnings estimates.

If you are deaf, hard of hearing, or have a speech 

disability, please dial 7-1-1 to access telecommunications 

relay services or the information voice phone at: (202) 691-

5200. This news release is in the public domain and may 

be reproduced without permission.

Definitions

The principal definitions used in connection with the 

earnings data in this news release are described briefly 

below.

Usual weekly earnings. Data represent earnings 

before taxes and other deductions and include any overtime 

pay, commissions, or tips usually received (at the main job 

in the case of multiple jobholders). Prior to 1994, 

respondents were asked how much they usually earned per 

week. Since January 1994, respondents have been asked to 

identify the easiest way for them to report earnings (hourly, 

weekly, biweekly, twice monthly, monthly, annually, or 

other) and how much they usually earn in the reported time 

period.

Earnings reported on a basis other than weekly are 

converted to a weekly equivalent. The term "usual" is 

determined by each respondent's own understanding of the 

term. If the respondent asks for a definition of "usual," 

interviewers are instructed to define the term as more than 

half the weeks worked during the past 4 or 5 months.

Medians (and other quantiles) of weekly earnings. 

The median (or upper limit of the second quartile) is the 

midpoint in a given earnings distribution, with half of 

workers having earnings above the median and the other 

half having earnings below the median. Ten percent of a 

given distribution have earnings below the upper limit of 

the first decile (90 percent have higher earnings), 25 

percent have earnings below the upper limit of the first 

quartile (75 percent have higher earnings), 75 percent have 

earnings below the upper limit of the third quartile (25 

percent have higher earnings), and 90 percent have 

earnings below the upper limit of the ninth decile (10 

percent have higher earnings).

The BLS procedure for estimating the median of an 

earnings distribution places each reported or calculated 

weekly earnings value into a $50-wide interval that is 

centered around a multiple of $50. The median is 

calculated through the linear interpolation of the interval in 

which the median lies.

 Changes over time in the medians (and other quantile 

boundaries) for specific groups may not necessarily be 

consistent with the movements estimated for the overall 

quantile boundary. The most common reasons for this 

possible anomaly are as follows: (1) there could be a 

change in the relative weights of the subgroups. For 

example, the median of 16- to 24-year-olds and the median 

earnings of those 25 years and over may rise, but if the 

lower earning 16-to-24 age group accounts for a greatly 

increased share of the total, the overall median could 

actually fall. (2) there could be a large change in the shape 

of the distribution of reported earnings, particularly near a 

quantile boundary. This change could be caused by survey 

observations that are clustered at rounded values, such as 

$400 or $500. An estimate lying in a $50-wide centered 

interval containing such a cluster or "spike" tends to change 

more slowly than one in other intervals.

 Constant dollars. The Consumer Price Index for All 

Urban Consumers (CPI-U) is used to convert current 

dollars to constant (1982-84) dollars.

 Wage and salary workers. These are workers who 

receive wages, salaries, commissions, tips, payment in 

kind, or piece rates. The group includes employees in both 

the private and public sectors but, for the purposes of the 

earnings series, it excludes all self-employed persons, both 

those with incorporated businesses and those with 

unincorporated businesses.

Full-time workers. For the purpose of producing 

estimates of earnings, workers who usually work 35 hours 

or more per week at their sole or principal job are defined 

as working full time.

Part-time workers. For the purpose of producing 

estimates of earnings, workers who usually work fewer 

than 35 hours per week at their sole or principal job are 

defined as working part time.
 Race. In the survey process, race is determined by the 

household respondent. In accordance with the Office of 

Management and Budget guidelines, White, Black or 

African American, Asian, American Indian or Alaska 

Native, and Native Hawaiian or Other Pacific Islander are 

terms used to describe a person's race. Estimates for the 

latter two race groups and persons who selected more than 

one race are not included in this release due to insufficient 

sample size.

 Hispanic or Latino ethnicity. This refers to people 

who identified themselves in the survey process as being 

of Hispanic, Latino, or Spanish origin. People whose 

ethnicity is identified as Hispanic or Latino may be of any 

race.

Reliability

 Statistics based on the CPS are subject to both 

sampling and nonsampling error. When a sample, rather 

than the entire population, is surveyed, there is a chance 

that the sample estimates may differ from the true 

population values they represent. The component of this

difference that occurs because samples differ by chance is 

known as sampling error, and its variability is measured by 

the standard error of the estimate. There is about a 90-

percent chance, or level of confidence, that an estimate 

based on a sample will differ by no more than 1.6 standard 

errors from the true population value because of sampling

error. BLS analyses are generally conducted at the 90-

percent level of confidence. 

The CPS data also are affected by nonsampling error. 

Nonsampling error can occur for many reasons, including 

the failure to sample a segment of the population, inability

to obtain information for all respondents in the sample, 

inability or unwillingness of respondents to provide correct 

information, and errors made in the collection or

processing of the data.

Additional information about the reliability of data 

from the CPS is available on the BLS website at 

www.bls.gov/cps/documentation.htm#reliability.

Seasonal adjustment

Over the course of a year, the size of the nation's labor 

force and other measures of labor market activity undergo 

regularly occurring fluctuations. These recurring events 

include seasonal changes in weather, major holidays, and 

the opening and closing of schools. The effect of such 

seasonal variations can be very large.

Because seasonal events follow a more or less regular 

pattern each year, their influence on the level of a series 

can be tempered by adjusting for regular seasonal

variation. These adjustments make nonseasonal 

developments easier to spot. The seasonally adjusted 

figures provide a more useful tool with which to analyze 

changes in quarter-to-quarter activity.

At the end of each calendar year, the seasonally 

adjusted data are revised for the past 5 years when the 

seasonal adjustment factors are updated. More information 

on seasonal adjustment is available on the BLS website at 

www.bls.gov/cps/documentation.htm#sa.
Table 1. Median usual weekly earnings of full-time wage and salary workers by sex, quarterly averages,

seasonally adjusted

Year and quarter

Number of workers

(in thousands) Median weekly earnings

Total Men Women

In current dollars In constant (1982-84) dollars

Total

$

Men

$

Women

$

Total

$

Men

$

Women

$

2014

1st quarter......................................... 105,633 58,682 46,951 790 865 716 335 367 304

2nd quarter........................................ 106,342 59,486 46,855 781 860 715 330 363 302

3rd quarter......................................... 106,726 59,543 47,183 798 878 721 336 370 304

4th quarter......................................... 107,436 60,123 47,313 795 878 724 336 371 306

2015

1st quarter......................................... 108,448 60,346 48,102 802 886 725 341 377 308

2nd quarter........................................ 108,541 60,386 48,154 803 890 725 339 376 306

3rd quarter......................................... 109,315 61,004 48,311 809 896 727 340 377 306

4th quarter......................................... 110,060 61,292 48,768 821 904 729 345 380 307

2016

1st quarter......................................... 110,323 61,559 48,764 823 904 744 346 380 313

2nd quarter........................................ 110,921 61,770 49,152 828 913 746 345 381 311

3rd quarter......................................... 111,789 62,239 49,550 834 918 748 347 381 311

4th quarter......................................... 111,357 62,182 49,175 845 924 759 349 381 313

2017

1st quarter......................................... 111,838 62,363 49,475 858 941 760 352 386 312

2nd quarter........................................ 113,140 62,963 50,177 863 937 782 354 384 321

3rd quarter......................................... 113,854 63,319 50,535 864 944 769 352 385 313

4th quarter......................................... 114,286 63,315 50,971 854 943 770 345 382 312

2018

1st quarter......................................... 114,418 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

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

2022

1st

2023

In current dollars In constant (1982-84)

dollars

1st

2022

1st

2023

1st

2022

1st

2023

SEX AND AGE

Total, 16 years and over.............................................. 117,518 119,221 $1,037 $1,100 $365 $366

Men, 16 years and over............................................ 64,799 65,815 1,128 1,186 397 395

16 to 24 years.................................................... 5,495 6,038 694 751 244 250

25 years and over................................................ 59,304 59,777 1,185 1,253 417 417

Women, 16 years and over........................................ 52,719 53,406 939 996 331 331

16 to 24 years.................................................... 4,571 4,749 628 690 221 230

25 years and over................................................ 48,148 48,657 985 1,034 347 344

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 89,733 89,899 1,064 1,130 375 376

Men................................................................. 50,665 50,855 1,148 1,222 404 406

Women............................................................. 39,069 39,044 954 1,007 336 335

Black or African American......................................... 15,412 16,309 840 886 296 295

Men................................................................. 7,344 7,847 870 909 306 302

Women............................................................. 8,068 8,462 811 862 285 287

Asian.................................................................. 8,132 8,547 1,362 1,468 480 488

Men................................................................. 4,512 4,707 1,452 1,573 511 523

Women............................................................. 3,620 3,840 1,237 1,313 435 437

Hispanic or Latino ethnicity........................................ 22,033 22,193 799 868 281 289

Men................................................................. 13,142 13,096 866 917 305 305

Women............................................................. 8,891 9,098 732 779 258 259

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, 1st 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..................................................... 119,221 $1,100 65,815 $1,186 53,406 $996

16 to 24 years....................................................... 10,787 717 6,038 751 4,749 690

16 to 19 years.................................................... 1,323 611 860 619 463 598

20 to 24 years.................................................... 9,464 737 5,178 781 4,286 702

25 years and over................................................... 108,434 1,155 59,777 1,253 48,657 1,034

25 to 54 years.................................................... 83,284 1,148 45,842 1,232 37,441 1,042

25 to 34 years.................................................. 29,336 1,018 16,109 1,085 13,227 970

35 to 44 years.................................................. 28,479 1,223 15,906 1,329 12,572 1,112

45 to 54 years.................................................. 25,470 1,239 13,828 1,389 11,642 1,098

55 years and over................................................ 25,150 1,176 13,935 1,343 11,215 1,009

55 to 64 years.................................................. 19,849 1,218 10,954 1,393 8,894 1,044

65 years and over............................................. 5,301 1,042 2,980 1,200 2,321 926

White

16 years and over................................................... 89,899 1,130 50,855 1,222 39,044 1,007

16 to 24 years.................................................... 8,083 729 4,611 777 3,471 695

25 years and over................................................ 81,816 1,187 46,244 1,297 35,572 1,057

25 to 54 years.................................................. 62,060 1,176 35,026 1,267 27,033 1,058

55 years and over............................................. 19,756 1,222 11,218 1,388 8,539 1,051

Black or African American

16 years and over................................................... 16,309 886 7,847 909 8,462 862

16 to 24 years.................................................... 1,557 678 776 681 781 670

25 years and over................................................ 14,752 925 7,071 983 7,681 895

25 to 54 years.................................................. 11,635 924 5,613 977 6,022 904

55 years and over............................................. 3,117 926 1,457 1,021 1,659 855

Asian

16 years and over................................................... 8,547 1,468 4,707 1,573 3,840 1,313

16 to 24 years.................................................... 533 803 294 872 240 698

25 years and over................................................ 8,014 1,514 4,413 1,638 3,601 1,366

25 to 54 years.................................................. 6,388 1,573 3,466 1,733 2,922 1,446

55 years and over............................................. 1,626 1,231 947 1,334 679 1,132

Hispanic or Latino ethnicity

16 years and over................................................... 22,193 868 13,096 917 9,098 779

16 to 24 years.................................................... 2,683 699 1,587 717 1,097 676

25 years and over................................................ 19,510 902 11,509 952 8,001 818

25 to 54 years.................................................. 16,212 906 9,512 954 6,701 830

55 years and over............................................. 3,298 888 1,997 946 1,300 761

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

2022

1st

2023

1st

2022

1st

2023

TOTAL

Management, professional, and related occupations................................ 52,982 55,303 $1,440 $1,531

Management, business, and financial operations occupations................... 22,009 23,463 1,547 1,642

Professional and related occupations............................................... 30,973 31,840 1,369 1,457

Service occupations...................................................................... 15,123 15,003 663 711

Sales and office occupations............................................................ 22,072 21,750 865 929

Sales and related occupations....................................................... 9,230 9,061 909 988

Office and administrative support occupations..................................... 12,841 12,689 837 902

Natural resources, construction, and maintenance occupations.................... 11,372 11,213 929 993

Farming, fishing, and forestry occupations......................................... 818 727 629 632

Construction and extraction occupations............................................ 6,406 6,406 920 981

Installation, maintenance, and repair occupations................................. 4,148 4,081 998 1,100

Production, transportation, and material moving occupations....................... 15,970 15,951 817 833

Production occupations................................................................ 7,214 7,427 867 880

Transportation and material moving occupations.................................. 8,756 8,524 774 799

Men

Management, professional, and related occupations................................ 25,769 26,936 1,657 1,775

Management, business, and financial operations occupations................... 11,831 12,186 1,748 1,870

Professional and related occupations............................................... 13,938 14,749 1,605 1,741

Service occupations...................................................................... 7,231 7,262 742 793

Sales and office occupations............................................................ 8,910 8,912 1,001 1,024

Sales and related occupations....................................................... 5,166 5,035 1,091 1,167

Office and administrative support occupations..................................... 3,744 3,877 921 978

Natural resources, construction, and maintenance occupations.................... 10,819 10,715 945 1,007

Farming, fishing, and forestry occupations......................................... 666 543 648 688

Construction and extraction occupations............................................ 6,199 6,199 929 988

Installation, maintenance, and repair occupations................................. 3,954 3,973 1,005 1,112

Production, transportation, and material moving occupations....................... 12,071 11,991 881 903

Production occupations................................................................ 5,185 5,259 951 956

Transportation and material moving occupations.................................. 6,886 6,731 814 863

Women

Management, professional, and related occupations................................ 27,213 28,368 1,268 1,344

Management, business, and financial operations occupations................... 10,178 11,277 1,370 1,464

Professional and related occupations............................................... 17,035 17,091 1,227 1,266

Service occupations...................................................................... 7,892 7,741 613 662

Sales and office occupations............................................................ 13,162 12,838 804 868

Sales and related occupations....................................................... 4,064 4,026 777 830

Office and administrative support occupations..................................... 9,098 8,812 811 881

Natural resources, construction, and maintenance occupations.................... 553 498 700 664

Farming, fishing, and forestry occupations......................................... 152 184 595 597

Construction and extraction occupations............................................ 207 207 724 731

Installation, maintenance, and repair occupations................................. 194 108 771 657

Production, transportation, and material moving occupations....................... 3,899 3,960 676 688

Production occupations................................................................ 2,029 2,168 678 713

Transportation and material moving occupations.................................. 1,870 1,793 674 649

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 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.............................................. 119,221 $574 $739 $1,100 $1,751 $2,718

Men................................................................... 65,815 600 790 1,186 1,901 2,921

Women............................................................... 53,406 534 693 996 1,565 2,385

White.................................................................. 89,899 582 756 1,130 1,772 2,766

Men................................................................. 50,855 608 813 1,222 1,911 2,945

Women............................................................. 39,044 542 702 1,007 1,573 2,407

Black or African American......................................... 16,309 509 662 886 1,304 2,027

Men................................................................. 7,847 523 687 909 1,393 2,247

Women............................................................. 8,462 496 636 862 1,249 1,876

Asian.................................................................. 8,547 623 891 1,468 2,395 3,497

Men................................................................. 4,707 673 948 1,573 2,744 3,895

Women............................................................. 3,840 587 780 1,313 2,104 2,915

Hispanic or Latino ethnicity........................................ 22,193 506 637 868 1,273 1,896

Men................................................................. 13,096 536 675 917 1,352 1,977

Women............................................................. 9,098 480 602 779 1,165 1,773

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 108,434 590 772 1,155 1,843 2,840

Less than a high school diploma.................................. 5,840 426 548 682 912 1,248

High school graduates, no college1

............................... 25,847 527 663 884 1,218 1,753

Some college or associate degree................................ 26,591 579 726 995 1,420 2,009

Bachelor’s degree and higher2.................................... 50,156 759 1,082 1,621 2,475 3,673

Bachelor’s degree only.......................................... 30,567 716 993 1,488 2,278 3,226

Advanced degree................................................. 19,590 891 1,253 1,855 2,762 4,340

Men, 25 years and over............................................ 59,777 623 837 1,253 1,985 3,076

Less than a high school diploma............................... 3,895 475 595 730 989 1,395

High school graduates, no college1

............................ 16,220 578 723 971 1,347 1,910

Some college or associate degree............................. 14,199 632 817 1,151 1,610 2,291

Bachelor’s degree and higher2

................................. 25,463 822 1,204 1,866 2,817 4,297

Bachelor’s degree only........................................ 15,955 775 1,117 1,677 2,508 3,835

Advanced degree.............................................. 9,509 944 1,429 2,115 3,142 5,007

Women, 25 years and over........................................ 48,657 553 717 1,034 1,628 2,476

Less than a high school diploma............................... 1,945 384 493 599 721 958

High school graduates, no college1

............................ 9,627 478 599 749 1,010 1,395

Some college or associate degree............................. 12,391 534 666 870 1,188 1,659

Bachelor’s degree and higher2................................. 24,693 720 989 1,439 2,090 2,975

Bachelor’s degree only........................................ 14,612 675 915 1,315 1,902 2,744

Advanced degree.............................................. 10,081 852 1,154 1,612 2,390 3,426

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

2022

1st

2023

1st

2022

1st

2023

SEX AND AGE

Total, 16 years and over................................................................. 23,010 24,058 $327 $354

Men, 16 years and over............................................................... 8,144 8,537 312 346

16 to 24 years........................................................................ 3,553 3,550 258 283

25 years and over................................................................... 4,591 4,987 402 421

Women, 16 years and over........................................................... 14,865 15,521 339 360

16 to 24 years........................................................................ 4,513 4,910 252 264

25 years and over................................................................... 10,353 10,611 393 413

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 17,927 18,771 329 358

Men.................................................................................... 6,121 6,550 313 351

Women................................................................................ 11,807 12,221 341 364

Black or African American............................................................ 2,718 2,822 310 328

Men.................................................................................... 1,168 1,144 298 323

Women................................................................................ 1,550 1,678 316 330

Asian..................................................................................... 1,398 1,370 390 396

Men.................................................................................... 485 494 378 364

Women................................................................................ 913 875 394 415

Hispanic or Latino ethnicity........................................................... 3,986 4,800 324 379

Men.................................................................................... 1,435 1,784 326 392

Women................................................................................ 2,551 3,016 324 375

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.