For release 10:00 a.m. (ET) Friday, July 16, 2021 USDL-21-1319

Technical information: cpsinfo@bls.gov • www.bls.gov/cps

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

(NOTE: BLS reissued this news release on October 19, 2021, to address incorrect values for 9 

seasonally adjusted series for second quarter, 2021. The incorrect data were published in table 1, 

in the text of the news release, and in the online database.)

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

SECOND QUARTER 2021

Median weekly earnings of the nation's 113.6 million full-time wage and salary workers were $990 in 

the second quarter of 2021 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 1.2 percent lower than a year earlier, compared with a gain of 4.8 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 second-quarter data:

• Median weekly earnings of full-time workers were $990 in the second quarter of 2021. Women 

had median weekly earnings of $899, or 82.2 percent of the $1,094 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 82.6

percent as much as their male counterparts, compared with 85.1 percent for Black women, 70.4

percent for Asian women, and 86.5 percent for Hispanic women. (See table 2.)

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($799) and

Hispanics ($779) working at full-time jobs were lower than those of Whites ($1,012) and Asians

($1,281). By sex, median weekly earnings for Black men were $877, or 78.7 percent of the median 

for White men ($1,115). Median earnings for Hispanic men were $825, or 74.0 percent of the 

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

were $746, or 81.0 percent of those for White women ($921), and earnings for Hispanic women 

were $714, or 77.5 percent of those for White women. Earnings of Asian men ($1,473) and women 

($1,037) were higher than those of their White counterparts. (See table 2.)

• By age, median weekly earnings were highest for men ages 35 to 64: weekly earnings were $1,242 

for men ages 35 to 44, $1,279 for men ages 45 to 54, and $1,246 for men ages 55 to 64. Usual 
- 2 -

weekly earnings were also highest for women ages 35 to 64: median weekly earnings were $968 for 

women ages 35 to 44, $985 for women ages 45 to 54, and $973 for women ages 55 to 64. Men and 

women ages 16 to 24 had the lowest median weekly earnings, $643 and $596, respectively. Men's 

and women's earnings were closer among younger workers than older workers; for example, women 

ages 16 to 24 earned 92.7 percent as much as men in the same age group, while the women's-tomen's earnings ratio was 76.9 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—$1,586 for men and $1,195 for 

women. Men and women employed in service occupations earned the least, $713 and $586, 

respectively. (See table 4.)

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

median weekly earnings of $620, compared with $793 for high school graduates (no college) and 

$1,438 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 $4,508 or more per week, compared with $2,919 or more for their female 

counterparts. (See table 5.)

• Seasonally adjusted median weekly earnings were $990 in the second quarter of 2021, little 

changed from the previous quarter. (See table 1.)

Coronavirus (COVID-19) Pandemic Impact on Usual Weekly Earnings Data

Usual weekly earnings data for the second quarter of 2021 continue to reflect the impact on the labor 

market of the coronavirus (COVID-19) pandemic. Changes in weekly earnings should be interpreted 

with caution due to pandemic-related employment changes. The recent rebound in employment among 

lower-paid workers has put downward pressure on median weekly earnings. More information on labor 

market developments in recent months is available at www.bls.gov/covid19/effects-of-covid-19-

pandemic-and-response-on-the-employment-situation-news-release.htm.
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. 

Material in this news release is in the public domain and 

may be used without permission. This information is 

available to sensory impaired individuals upon request. 

Voice telephone: (202) 691-5200; Federal Relay Service: 

(800) 877-8339.

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

$

2012

2nd quarter........................................ 102,525 57,079 45,447 772 870 687 337 380 300

3rd quarter......................................... 102,587 57,207 45,380 766 836 693 333 364 302

4th quarter......................................... 103,748 57,772 45,977 771 868 690 333 375 298

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......................................... 111,846 62,372 49,474 857 941 760 352 386 312

2nd quarter........................................ 113,121 62,938 50,184 863 938 783 354 384 321

3rd quarter......................................... 113,880 63,327 50,552 865 943 768 352 385 313

4th quarter......................................... 114,265 63,310 50,955 853 943 770 345 381 311

2018

1st quarter......................................... 114,502 63,888 50,615 874 956 778 351 384 312

2nd quarter........................................ 115,502 64,146 51,356 881 964 784 351 384 312

3rd quarter......................................... 116,223 64,379 51,844 892 979 796 354 389 316

4th quarter......................................... 116,059 64,178 51,881 897 990 795 355 392 314

2019

1st quarter......................................... 117,202 64,896 52,306 898 995 802 355 393 317

2nd quarter........................................ 117,299 65,054 52,244 914 1,005 818 358 393 320

3rd quarter......................................... 117,426 64,842 52,585 922 1,009 824 360 394 322

4th quarter......................................... 118,423 65,250 53,173 934 1,019 844 362 395 327

2020

1st quarter......................................... 116,986 64,352 52,634 949 1,057 853 367 409 330

2nd quarter........................................ 104,204 57,686 46,517 1,009 1,092 918 393 426 358

3rd quarter......................................... 108,754 59,909 48,846 996 1,110 900 384 428 347

4th quarter......................................... 111,617 61,710 49,908 983 1,069 896 377 410 343

2021

1st quarter......................................... 112,993 62,092 50,901 984 1,080 898 373 410 341

2nd quarter........................................ 113,274 62,151 51,123 995 1,099 905 370 409 337

NOTE: Updated population controls are introduced annually with the release of January data.
Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics,

quarterly averages, not seasonally adjusted

Characteristic

Number of workers

(in thousands) Median weekly earnings

2nd

2020

2nd

2021

In current dollars In constant (1982-84)

dollars

2nd

2020

2nd

2021

2nd

2020

2nd

2021

SEX AND AGE

Total, 16 years and over.............................................. 104,487 113,593 $1,002 $990 $390 $368

Men, 16 years and over............................................ 57,994 62,485 1,087 1,094 423 406

16 to 24 years.................................................... 4,600 5,759 640 643 249 239

25 years and over................................................ 53,394 56,726 1,147 1,154 447 429

Women, 16 years and over........................................ 46,493 51,108 913 899 356 334

16 to 24 years.................................................... 3,826 4,660 594 596 231 221

25 years and over................................................ 42,667 46,448 956 944 372 351

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 81,005 87,138 1,017 1,012 396 376

Men................................................................. 46,066 49,224 1,115 1,115 434 414

Women............................................................. 34,939 37,914 929 921 362 342

Black or African American......................................... 13,109 14,665 805 799 314 296

Men................................................................. 6,298 6,969 828 877 323 326

Women............................................................. 6,811 7,696 779 746 303 277

Asian.................................................................. 6,827 7,724 1,336 1,281 520 476

Men................................................................. 3,771 4,106 1,479 1,473 576 547

Women............................................................. 3,056 3,619 1,141 1,037 444 385

Hispanic or Latino ethnicity........................................ 18,077 20,777 786 779 306 289

Men................................................................. 10,884 12,450 841 825 328 306

Women............................................................. 7,193 8,327 717 714 279 265

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

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

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

ethnicity, and sex, 2nd quarter 2021 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..................................................... 113,593 $990 62,485 $1,094 51,108 $899

16 to 24 years....................................................... 10,419 619 5,759 643 4,660 596

16 to 19 years.................................................... 1,623 555 940 595 683 501

20 to 24 years.................................................... 8,796 633 4,819 656 3,977 613

25 years and over................................................... 103,174 1,048 56,726 1,154 46,448 944

25 to 54 years.................................................... 78,857 1,030 43,425 1,138 35,432 945

25 to 34 years.................................................. 28,398 928 15,723 961 12,675 886

35 to 44 years.................................................. 26,161 1,119 14,680 1,242 11,481 968

45 to 54 years.................................................. 24,298 1,134 13,021 1,279 11,276 985

55 years and over................................................ 24,317 1,101 13,301 1,224 11,016 941

55 to 64 years.................................................. 19,161 1,130 10,386 1,246 8,775 973

65 years and over............................................. 5,156 989 2,915 1,141 2,241 816

White

16 years and over................................................... 87,138 1,012 49,224 1,115 37,914 921

16 to 24 years.................................................... 8,010 633 4,577 660 3,433 605

25 years and over................................................ 79,129 1,078 44,648 1,170 34,481 964

25 to 54 years.................................................. 59,597 1,059 33,745 1,146 25,852 966

55 years and over............................................. 19,531 1,130 10,903 1,262 8,628 955

Black or African American

16 years and over................................................... 14,665 799 6,969 877 7,696 746

16 to 24 years.................................................... 1,369 527 660 522 709 533

25 years and over................................................ 13,296 851 6,309 913 6,987 789

25 to 54 years.................................................. 10,430 820 4,926 900 5,505 767

55 years and over............................................. 2,866 936 1,383 973 1,482 870

Asian

16 years and over................................................... 7,724 1,281 4,106 1,473 3,619 1,037

16 to 24 years.................................................... 414 677 175 733 238 619

25 years and over................................................ 7,310 1,338 3,930 1,530 3,380 1,118

25 to 54 years.................................................. 5,921 1,387 3,197 1,569 2,723 1,153

55 years and over............................................. 1,390 1,095 733 1,206 657 900

Hispanic or Latino ethnicity

16 years and over................................................... 20,777 779 12,450 825 8,327 714

16 to 24 years.................................................... 2,478 607 1,365 611 1,113 598

25 years and over................................................ 18,299 817 11,085 878 7,214 746

25 to 54 years.................................................. 15,230 821 9,221 861 6,008 768

55 years and over............................................. 3,069 799 1,864 961 1,205 653

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

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

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

averages, not seasonally adjusted

Occupation and sex

Number of workers

(in thousands) Median weekly earnings

2nd

2020

2nd

2021

2nd

2020

2nd

2021

TOTAL

Management, professional, and related occupations................................ 48,960 50,580 $1,355 $1,366

Management, business, and financial operations occupations................... 20,811 21,300 1,440 1,445

Professional and related occupations............................................... 28,150 29,280 1,288 1,319

Service occupations...................................................................... 12,195 14,701 625 625

Sales and office occupations............................................................ 19,810 22,185 819 828

Sales and related occupations....................................................... 8,167 9,412 918 910

Office and administrative support occupations..................................... 11,643 12,772 784 802

Natural resources, construction, and maintenance occupations.................... 9,863 11,094 906 924

Farming, fishing, and forestry occupations......................................... 862 821 601 659

Construction and extraction occupations............................................ 5,120 6,023 901 899

Installation, maintenance, and repair occupations................................. 3,882 4,250 1,002 1,027

Production, transportation, and material moving occupations....................... 13,658 15,034 761 764

Production occupations................................................................ 6,302 6,758 793 795

Transportation and material moving occupations.................................. 7,356 8,276 731 731

Men

Management, professional, and related occupations................................ 23,860 24,560 1,603 1,586

Management, business, and financial operations occupations................... 11,062 11,262 1,664 1,652

Professional and related occupations............................................... 12,798 13,298 1,552 1,544

Service occupations...................................................................... 6,137 7,008 705 713

Sales and office occupations............................................................ 7,744 8,747 963 985

Sales and related occupations....................................................... 4,489 5,065 1,069 1,099

Office and administrative support occupations..................................... 3,255 3,682 829 908

Natural resources, construction, and maintenance occupations.................... 9,383 10,528 917 932

Farming, fishing, and forestry occupations......................................... 657 671 622 689

Construction and extraction occupations............................................ 4,963 5,807 903 901

Installation, maintenance, and repair occupations................................. 3,763 4,050 1,004 1,034

Production, transportation, and material moving occupations....................... 10,871 11,641 813 821

Production occupations................................................................ 4,742 4,999 863 860

Transportation and material moving occupations.................................. 6,129 6,642 774 794

Women

Management, professional, and related occupations................................ 25,101 26,020 1,167 1,195

Management, business, and financial operations occupations................... 9,748 10,038 1,269 1,256

Professional and related occupations............................................... 15,352 15,982 1,130 1,157

Service occupations...................................................................... 6,058 7,692 583 586

Sales and office occupations............................................................ 12,066 13,438 755 762

Sales and related occupations....................................................... 3,678 4,347 709 726

Office and administrative support occupations..................................... 8,388 9,091 766 774

Natural resources, construction, and maintenance occupations.................... 480 565 676 677

Farming, fishing, and forestry occupations......................................... 205 150 530 596

Construction and extraction occupations............................................ 157 215 810 701

Installation, maintenance, and repair occupations................................. 119 200 766 933

Production, transportation, and material moving occupations....................... 2,788 3,393 603 622

Production occupations................................................................ 1,560 1,759 639 648

Transportation and material moving occupations.................................. 1,227 1,634 563 610

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, 2nd quarter 2021 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.............................................. 113,593 $502 $665 $990 $1,557 $2,405

Men................................................................... 62,485 525 711 1,094 1,747 2,705

Women............................................................... 51,108 481 618 899 1,366 2,082

White.................................................................. 87,138 514 686 1,012 1,578 2,424

Men................................................................. 49,224 550 727 1,115 1,756 2,723

Women............................................................. 37,914 487 634 921 1,388 2,093

Black or African American......................................... 14,665 448 572 799 1,239 1,857

Men................................................................. 6,969 465 587 877 1,349 2,001

Women............................................................. 7,696 435 556 746 1,159 1,669

Asian.................................................................. 7,724 545 760 1,281 2,004 2,991

Men................................................................. 4,106 601 907 1,473 2,300 3,449

Women............................................................. 3,619 507 672 1,037 1,733 2,493

Hispanic or Latino ethnicity........................................ 20,777 450 588 779 1,171 1,799

Men................................................................. 12,450 474 605 825 1,221 1,872

Women............................................................. 8,327 423 555 714 1,100 1,637

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 103,174 523 703 1,048 1,635 2,496

Less than a high school diploma.................................. 5,885 380 493 620 853 1,182

High school graduates, no college1

............................... 24,548 476 594 793 1,138 1,633

Some college or associate degree................................ 25,729 519 661 915 1,312 1,880

Bachelor’s degree and higher2.................................... 47,011 705 971 1,438 2,197 3,274

Bachelor’s degree only.......................................... 28,661 660 901 1,314 1,973 2,918

Advanced degree................................................. 18,351 807 1,133 1,641 2,496 3,844

Men, 25 years and over............................................ 56,726 567 757 1,154 1,838 2,815

Less than a high school diploma............................... 4,040 415 522 669 935 1,255

High school graduates, no college1

............................ 15,215 500 645 887 1,269 1,843

Some college or associate degree............................. 13,838 576 749 1,045 1,496 2,042

Bachelor’s degree and higher2

................................. 23,631 747 1,130 1,668 2,519 3,840

Bachelor’s degree only........................................ 14,957 709 1,003 1,530 2,296 3,347

Advanced degree.............................................. 8,674 904 1,338 1,919 2,914 4,508

Women, 25 years and over........................................ 46,448 498 647 944 1,426 2,134

Less than a high school diploma............................... 1,845 320 418 569 670 909

High school graduates, no college1

............................ 9,333 425 533 674 920 1,277

Some college or associate degree............................. 11,891 490 602 786 1,104 1,468

Bachelor’s degree and higher2................................. 23,380 671 899 1,252 1,846 2,686

Bachelor’s degree only........................................ 13,703 621 832 1,149 1,648 2,399

Advanced degree.............................................. 9,677 761 1,008 1,426 2,028 2,919

1

Includes persons with a high school diploma or equivalent.

2

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

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

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

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

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

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

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

quarterly averages, not seasonally adjusted

Characteristic

Number of workers

(in thousands) Median weekly earnings

2nd

2020

2nd

2021

2nd

2020

2nd

2021

SEX AND AGE

Total, 16 years and over................................................................. 18,187 21,705 $316 $314

Men, 16 years and over............................................................... 6,472 7,667 314 308

16 to 24 years........................................................................ 2,725 3,334 262 267

25 years and over................................................................... 3,747 4,332 381 360

Women, 16 years and over........................................................... 11,715 14,038 317 317

16 to 24 years........................................................................ 3,115 4,363 239 251

25 years and over................................................................... 8,599 9,675 367 369

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 14,085 17,002 318 316

Men.................................................................................... 4,964 5,898 312 310

Women................................................................................ 9,122 11,104 321 320

Black or African American............................................................ 2,499 2,584 296 286

Men.................................................................................... 898 1,024 300 290

Women................................................................................ 1,602 1,561 294 284

Asian..................................................................................... 955 1,163 358 357

Men.................................................................................... 343 415 387 357

Women................................................................................ 613 748 343 357

Hispanic or Latino ethnicity........................................................... 3,279 3,859 314 332

Men.................................................................................... 1,281 1,497 330 328

Women................................................................................ 1,998 2,362 304 334

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.