For release 10:00 a.m. (ET) Friday, April 15, 2022 USDL-22-0624

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 2022

Median weekly earnings of the nation's 117.5 million full-time wage and salary workers were $1,037

in the first quarter of 2022 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 4.9 percent higher than a year earlier, compared with a gain of 8.0 percent in the Consumer 

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

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

sample survey of households in which respondents are asked, among other things, how much each wage 

and salary worker usually earns. (See the Technical Note in this news release.) Data shown in this news 

release are not seasonally adjusted unless otherwise specified. 

Highlights from the first-quarter data: 

• Median weekly earnings of full-time workers were $1,037 in the first quarter of 2022. Women had 

median weekly earnings of $939, or 83.2 percent of the $1,128 median for men. (See table 2.) 

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 83.1

percent as much as their male counterparts, compared with 93.2 percent for Black women, 85.2

percent for Asian women, and 84.5 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($840) and 

Hispanics ($799) working full-time jobs were lower than those of Whites ($1,064) and Asians 

($1,362). By sex, median weekly earnings for Black men were $870, or 75.8 percent of the median 

for White men ($1,148). Median earnings for Hispanic men were $866, or 75.4 percent of the 

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

were $811, or 85.0 percent of those for White women ($954), and earnings for Hispanic women 

were $732, or 76.7 percent of those for White women. Earnings of Asian men ($1,452) and women 

($1,237) were higher than those of their White counterparts. (See table 2.) 

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

$1,257 for men ages 35 to 44, $1,274 for men ages 45 to 54, $1,246 for men ages 55 to 64, and 

$1,281 for men 65 years and over. Among women, usual weekly earnings were highest for workers 

ages 35 to 64: weekly earnings were $1,037 for women ages 35 to 44, $1,063 for women ages 45 to 

54, and $997 for women ages 55 to 64. Men and women ages 16 to 24 had the lowest median weekly 
-2-

earnings, $694 and $628, respectively. Men's and women's earnings were closer among younger 

workers than older workers; for example, women ages 16 to 24 earned 90.5 percent as much as men 

in the same age group, while the women's-to-men's earnings ratio was 77.3 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—$1,657 for men and $1,268 for 

women. Men and women employed in service occupations earned the least, $742 and $613, 

respectively. (See table 4.) 

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

median weekly earnings of $670, compared with $827 for high school graduates (no college) and 

$1,525 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 $4,820 or more per week, compared with $3,099 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings increased to $1,030 in the first quarter of 2022. (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 2017 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

$

2013

1st quarter......................................... 103,928 57,884 46,044 768 860 699 331 370 301

2nd quarter........................................ 103,988 57,944 46,044 777 863 706 335 372 304

3rd quarter......................................... 104,400 58,082 46,318 779 855 705 334 367 302

4th quarter......................................... 104,764 58,095 46,669 782 865 712 334 369 304

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......................................... 114,455 63,833 50,622 875 956 778 351 384 312

2nd quarter........................................ 115,535 64,185 51,349 881 963 783 351 384 312

3rd quarter......................................... 116,267 64,448 51,819 891 980 796 354 389 316

4th quarter......................................... 116,019 64,118 51,901 897 991 795 355 392 315

2019

1st quarter......................................... 117,108 64,790 52,319 899 994 803 355 393 317

2nd quarter........................................ 117,398 65,155 52,243 913 1,004 818 358 393 320

3rd quarter......................................... 117,553 65,001 52,552 922 1,010 825 360 394 322

4th quarter......................................... 118,262 65,070 53,191 934 1,020 842 362 396 327

2020

1st quarter......................................... 116,823 64,175 52,648 951 1,056 853 368 408 330

2nd quarter........................................ 104,386 57,867 46,518 1,008 1,091 919 393 425 358

3rd quarter......................................... 108,963 60,150 48,813 996 1,112 901 384 429 347

4th quarter......................................... 111,408 61,468 49,940 982 1,069 894 376 410 343

2021

1st quarter......................................... 112,907 61,974 50,933 983 1,079 897 373 409 341

2nd quarter........................................ 113,549 62,412 51,136 996 1,098 905 371 409 337

3rd quarter......................................... 114,642 63,204 51,438 1,003 1,108 915 367 406 335

4th quarter......................................... 116,156 64,116 52,040 1,008 1,100 928 362 395 333

2022

1st quarter......................................... 118,292 65,315 52,977 1,030 1,118 937 362 393 329

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

2021

1st

2022

In current dollars In constant (1982-84)

dollars

1st

2021

1st

2022

1st

2021

1st

2022

SEX AND AGE

Total, 16 years and over.............................................. 112,070 117,518 $989 $1,037 $376 $365

Men, 16 years and over............................................ 61,401 64,799 1,089 1,128 414 397

16 to 24 years.................................................... 5,392 5,495 634 694 241 244

25 years and over................................................ 56,009 59,304 1,154 1,185 438 417

Women, 16 years and over........................................ 50,669 52,719 900 939 342 331

16 to 24 years.................................................... 4,420 4,571 593 628 225 221

25 years and over................................................ 46,250 48,148 941 985 357 347

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 86,452 89,733 1,006 1,064 382 375

Men................................................................. 48,307 50,665 1,118 1,148 425 404

Women............................................................. 38,146 39,069 912 954 347 336

Black or African American......................................... 14,279 15,412 799 840 304 296

Men................................................................. 6,836 7,344 834 870 317 306

Women............................................................. 7,443 8,068 768 811 292 285

Asian.................................................................. 7,532 8,132 1,286 1,362 489 480

Men................................................................. 4,264 4,512 1,408 1,452 535 511

Women............................................................. 3,268 3,620 1,134 1,237 431 435

Hispanic or Latino ethnicity........................................ 20,312 22,033 750 799 285 281

Men................................................................. 12,026 13,142 788 866 299 305

Women............................................................. 8,286 8,891 696 732 265 258

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 2022 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..................................................... 117,518 $1,037 64,799 $1,128 52,719 $939

16 to 24 years....................................................... 10,067 668 5,495 694 4,571 628

16 to 19 years.................................................... 1,290 587 829 617 460 509

20 to 24 years.................................................... 8,777 684 4,666 707 4,111 649

25 years and over................................................... 107,451 1,100 59,304 1,185 48,148 985

25 to 54 years.................................................... 81,970 1,092 45,100 1,165 36,870 992

25 to 34 years.................................................. 28,705 975 15,843 1,014 12,862 920

35 to 44 years.................................................. 28,061 1,155 15,583 1,257 12,478 1,037

45 to 54 years.................................................. 25,203 1,172 13,673 1,274 11,530 1,063

55 years and over................................................ 25,482 1,125 14,204 1,251 11,278 967

55 to 64 years.................................................. 20,186 1,134 11,146 1,246 9,040 997

65 years and over............................................. 5,296 1,067 3,059 1,281 2,237 855

White

16 years and over................................................... 89,733 1,064 50,665 1,148 39,069 954

16 to 24 years.................................................... 7,732 675 4,265 702 3,466 625

25 years and over................................................ 82,002 1,125 46,400 1,214 35,602 1,005

25 to 54 years.................................................. 61,622 1,107 34,756 1,175 26,867 1,005

55 years and over............................................. 20,379 1,166 11,644 1,325 8,736 1,006

Black or African American

16 years and over................................................... 15,412 840 7,344 870 8,068 811

16 to 24 years.................................................... 1,347 611 680 616 667 608

25 years and over................................................ 14,065 875 6,664 901 7,401 849

25 to 54 years.................................................. 11,025 879 5,224 893 5,800 866

55 years and over............................................. 3,041 859 1,440 932 1,601 775

Asian

16 years and over................................................... 8,132 1,362 4,512 1,452 3,620 1,237

16 to 24 years.................................................... 463 896 216 774 248 952

25 years and over................................................ 7,668 1,404 4,296 1,519 3,372 1,277

25 to 54 years.................................................. 6,276 1,492 3,515 1,596 2,761 1,383

55 years and over............................................. 1,392 1,085 782 1,139 610 922

Hispanic or Latino ethnicity

16 years and over................................................... 22,033 799 13,142 866 8,891 732

16 to 24 years.................................................... 2,655 622 1,562 641 1,092 609

25 years and over................................................ 19,378 835 11,580 899 7,798 761

25 to 54 years.................................................. 16,004 837 9,489 894 6,515 770

55 years and over............................................. 3,374 824 2,091 925 1,283 713

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

2021

1st

2022

1st

2021

1st

2022

TOTAL

Management, professional, and related occupations................................ 50,956 52,982 $1,361 $1,440

Management, business, and financial operations occupations................... 21,273 22,009 1,475 1,547

Professional and related occupations............................................... 29,683 30,973 1,288 1,369

Service occupations...................................................................... 13,468 15,123 626 663

Sales and office occupations............................................................ 21,576 22,072 817 865

Sales and related occupations....................................................... 9,266 9,230 887 909

Office and administrative support occupations..................................... 12,310 12,841 795 837

Natural resources, construction, and maintenance occupations.................... 10,448 11,372 900 929

Farming, fishing, and forestry occupations......................................... 686 818 582 629

Construction and extraction occupations............................................ 5,910 6,406 885 920

Installation, maintenance, and repair occupations................................. 3,851 4,148 982 998

Production, transportation, and material moving occupations....................... 15,621 15,970 738 817

Production occupations................................................................ 7,191 7,214 781 867

Transportation and material moving occupations.................................. 8,430 8,756 705 774

Men

Management, professional, and related occupations................................ 24,461 25,769 1,615 1,657

Management, business, and financial operations occupations................... 11,142 11,831 1,741 1,748

Professional and related occupations............................................... 13,318 13,938 1,536 1,605

Service occupations...................................................................... 6,507 7,231 741 742

Sales and office occupations............................................................ 8,594 8,910 960 1,001

Sales and related occupations....................................................... 5,163 5,166 1,031 1,091

Office and administrative support occupations..................................... 3,431 3,744 887 921

Natural resources, construction, and maintenance occupations.................... 9,983 10,819 911 945

Farming, fishing, and forestry occupations......................................... 562 666 596 648

Construction and extraction occupations............................................ 5,709 6,199 892 929

Installation, maintenance, and repair occupations................................. 3,712 3,954 985 1,005

Production, transportation, and material moving occupations....................... 11,856 12,071 790 881

Production occupations................................................................ 5,186 5,185 853 951

Transportation and material moving occupations.................................. 6,670 6,886 739 814

Women

Management, professional, and related occupations................................ 26,496 27,213 1,179 1,268

Management, business, and financial operations occupations................... 10,131 10,178 1,261 1,370

Professional and related occupations............................................... 16,365 17,035 1,143 1,227

Service occupations...................................................................... 6,961 7,892 582 613

Sales and office occupations............................................................ 12,982 13,162 758 804

Sales and related occupations....................................................... 4,102 4,064 720 777

Office and administrative support occupations..................................... 8,879 9,098 769 811

Natural resources, construction, and maintenance occupations.................... 465 553 717 700

Farming, fishing, and forestry occupations......................................... 124 152 499 595

Construction and extraction occupations............................................ 202 207 784 724

Installation, maintenance, and repair occupations................................. 139 194 903 771

Production, transportation, and material moving occupations....................... 3,765 3,899 612 676

Production occupations................................................................ 2,006 2,029 616 678

Transportation and material moving occupations.................................. 1,760 1,870 608 674

NOTE: Updated population controls are introduced annually with the release of January data. Effective with January 2020 data, occupations reflect

the introduction of the 2018 Census occupational classification system, derived from the 2018 Standard Occupational Classification (SOC). No

historical data have been revised. Data for 2020 are not strictly comparable with earlier years.
Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by

selected characteristics, 1st quarter 2022 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.............................................. 117,518 $531 $701 $1,037 $1,635 $2,512

Men................................................................... 64,799 576 749 1,128 1,773 2,888

Women............................................................... 52,719 501 655 939 1,464 2,151

White.................................................................. 89,733 543 713 1,064 1,659 2,544

Men................................................................. 50,665 585 767 1,148 1,817 2,898

Women............................................................. 39,069 504 662 954 1,483 2,160

Black or African American......................................... 15,412 486 618 840 1,271 1,928

Men................................................................. 7,344 489 624 870 1,353 2,097

Women............................................................. 8,068 483 613 811 1,228 1,853

Asian.................................................................. 8,132 593 822 1,362 2,102 3,116

Men................................................................. 4,512 621 903 1,452 2,309 3,462

Women............................................................. 3,620 556 758 1,237 1,896 2,714

Hispanic or Latino ethnicity........................................ 22,033 484 605 799 1,198 1,820

Men................................................................. 13,142 502 624 866 1,287 1,921

Women............................................................. 8,891 450 582 732 1,103 1,671

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 107,451 565 732 1,100 1,725 2,676

Less than a high school diploma.................................. 6,151 417 533 670 892 1,200

High school graduates, no college1

............................... 26,830 494 625 827 1,178 1,666

Some college or associate degree................................ 25,852 539 689 938 1,369 1,908

Bachelor’s degree and higher2.................................... 48,618 733 1,036 1,525 2,297 3,436

Bachelor’s degree only.......................................... 29,799 692 946 1,395 2,087 3,082

Advanced degree................................................. 18,819 865 1,194 1,748 2,621 3,923

Men, 25 years and over............................................ 59,304 594 789 1,185 1,876 2,915

Less than a high school diploma............................... 4,182 478 579 722 958 1,289

High school graduates, no college1

............................ 16,785 532 687 924 1,311 1,774

Some college or associate degree............................. 13,686 593 765 1,082 1,534 2,182

Bachelor’s degree and higher2

................................. 24,652 795 1,142 1,742 2,700 3,923

Bachelor’s degree only........................................ 15,415 754 1,054 1,586 2,404 3,493

Advanced degree.............................................. 9,236 915 1,317 1,930 3,107 4,820

Women, 25 years and over........................................ 48,148 521 681 985 1,525 2,264

Less than a high school diploma............................... 1,969 353 468 586 709 910

High school graduates, no college1

............................ 10,046 440 579 711 930 1,309

Some college or associate degree............................. 12,166 500 634 812 1,148 1,614

Bachelor’s degree and higher2................................. 23,967 690 950 1,366 1,920 2,799

Bachelor’s degree only........................................ 14,384 645 853 1,238 1,807 2,508

Advanced degree.............................................. 9,583 834 1,143 1,541 2,197 3,099

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

2021

1st

2022

1st

2021

1st

2022

SEX AND AGE

Total, 16 years and over................................................................. 21,757 23,010 $310 $327

Men, 16 years and over............................................................... 7,725 8,144 303 312

16 to 24 years........................................................................ 3,196 3,553 234 258

25 years and over................................................................... 4,529 4,591 366 402

Women, 16 years and over........................................................... 14,032 14,865 314 339

16 to 24 years........................................................................ 4,231 4,513 239 252

25 years and over................................................................... 9,801 10,353 367 393

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 16,953 17,927 309 329

Men.................................................................................... 5,982 6,121 299 313

Women................................................................................ 10,971 11,807 314 341

Black or African American............................................................ 2,554 2,718 303 310

Men.................................................................................... 962 1,168 299 298

Women................................................................................ 1,592 1,550 305 316

Asian..................................................................................... 1,369 1,398 354 390

Men.................................................................................... 460 485 341 378

Women................................................................................ 909 913 359 394

Hispanic or Latino ethnicity........................................................... 3,895 3,986 303 324

Men.................................................................................... 1,530 1,435 303 326

Women................................................................................ 2,366 2,551 304 324

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.