For release 10:00 a.m. (ET) Friday, July 17, 2020 USDL-20-1380 

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

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

(NOTE: BLS reissued this news release on September 23, 2020, to address minor data errors 

associated with the introduction in January 2020 of a new occupation classification system. The 

corrections affected a limited number of data series presented in the text and tables of this release; 

for the vast majority of these series, the impact was negligible. Estimates in the BLS online 

database were corrected for the first and second quarters of 2020. For more information on these 

corrections, see www.bls.gov/bls/errata/revision-to-current-population-survey-estimates-forJanuary-through-July-2020.htm .)

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

SECOND QUARTER 2020

Median weekly earnings of the nation's 104.5 million full-time wage and salary workers were $1,002 

in the second quarter of 2020 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported 

today. This was 10.4 percent higher than a year earlier, compared with a gain of 0.4 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 $1,002 in the second quarter of 2020. Women 

had median weekly earnings of $913, or 84.0 percent of the $1,087 median for men. (See table 2.) 

Coronavirus (COVID-19) Impact on Second Quarter 2020 Household Survey Data 

Usual weekly earnings data for the second quarter of 2020 continue to reflect the impact on the labor 

market of the coronavirus (COVID-19) pandemic and efforts to contain it. Changes in weekly earnings 

in recent quarters must be interpreted with caution. The unusually large increase in median weekly 

earnings in the second quarter reflects the fact that employment declined more for lower-paid workers 

than for higher-paid workers. More information on labor market developments in recent months is 

available at www.bls.gov/cps/employment-situation-covid19-faq-june-2020.pdf . 
- 2 - 

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 83.3 

percent as much as their male counterparts, compared with 94.1 percent for Black women, 77.1 

percent for Asian women, and 85.3 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($805) and

Hispanics ($786) working at full-time jobs were lower than those of Whites ($1,017) and Asians 

($1,336). By sex, median weekly earnings for Black men were $828, or 74.3 percent of the median

for White men ($1,115). Median earnings for Hispanic men were $841, or 75.4 percent of the 

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

were $779, or 83.9 percent of those for White women ($929), and earnings for Hispanic women 

were $717, or 77.2 percent of those for White women. Earnings of Asian men ($1,479) and women 

($1,141) 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 $1,238 

for men ages 35 to 44, $1,271 for men ages 45 to 54, and $1,220 for men ages 55 to 64. Usual 

weekly earnings were highest for women age 35 and over: median weekly earnings were $1,010 for 

women ages 35 to 44, $1,006 for women ages 45 to 54, $973 for women ages 55 to 64, and $998 for 

women age 65 and over. Men and women ages 16 to 24 had the lowest median weekly earnings, 

$640 and $594, respectively. (See table 3.)

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

and related occupations had the highest median weekly earnings—$1,603 for men and $1,167 for 

women. Men and women employed in service occupations earned the least, $705 and $583, 

respectively. (See table 4.)

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

median weekly earnings of $630, compared with $788 for high school graduates (no college) and 

$1,416 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 $3,997 or more per week, compared with $2,910 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings increased to $1,005 in the second quarter of 2020. 

(See table 1.)
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

$

2011

2nd quarter........................................ 100,347 55,821 44,526 754 830 687 336 370 306

3rd quarter......................................... 100,495 56,046 44,449 760 836 681 336 370 301

4th quarter......................................... 101,337 56,687 44,650 760 838 686 335 369 302

2012

1st quarter......................................... 102,161 57,110 45,051 764 841 693 335 368 303

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......................................... 110,358 61,584 48,774 824 903 745 346 380 313

2nd quarter........................................ 110,928 61,771 49,157 827 914 744 345 382 311

3rd quarter......................................... 111,635 62,127 49,507 833 917 750 346 381 312

4th quarter......................................... 111,483 62,283 49,199 846 924 758 349 382 313

2017

1st quarter......................................... 111,875 62,386 49,488 858 940 760 352 386 312

2nd quarter........................................ 113,116 62,921 50,195 862 939 780 353 385 320

3rd quarter......................................... 113,720 63,225 50,495 864 943 771 352 385 314

4th quarter......................................... 114,403 63,425 50,979 853 943 770 345 382 311

2018

1st quarter......................................... 114,538 63,898 50,639 875 955 778 351 383 312

2nd quarter........................................ 115,474 64,107 51,367 880 964 780 351 385 311

3rd quarter......................................... 116,073 64,296 51,777 892 980 800 354 389 318

4th quarter......................................... 116,199 64,296 51,903 897 991 794 355 392 314

2019

1st quarter......................................... 117,250 64,906 52,345 899 994 802 355 392 317

2nd quarter........................................ 117,254 64,997 52,257 912 1,005 814 357 394 319

3rd quarter......................................... 117,286 64,776 52,510 924 1,010 829 360 394 323

4th quarter......................................... 118,556 65,365 53,191 933 1,019 843 362 395 327

2020

1st quarter......................................... 117,199 64,479 52,720 949 1,054 851 367 408 329

2nd quarter........................................ 104,222 57,687 46,535 1,005 1,092 914 392 426 356

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

2019

2nd

2020

In current dollars In constant (1982-84)

dollars

2nd

2019

2nd

2020

2nd

2019

2nd

2020

SEX AND AGE

Total, 16 years and over.............................................. 117,567 104,487 $908 $1,002 $355 $390

Men, 16 years and over............................................ 65,354 57,994 1,000 1,087 391 423

16 to 24 years.................................................... 6,100 4,600 601 640 235 249

25 years and over................................................ 59,254 53,394 1,059 1,147 414 447

Women, 16 years and over........................................ 52,214 46,493 814 913 318 356

16 to 24 years.................................................... 4,805 3,826 522 594 204 231

25 years and over................................................ 47,408 42,667 855 956 334 372

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 90,285 81,005 933 1,017 365 396

Men................................................................. 51,321 46,066 1,026 1,115 401 434

Women............................................................. 38,964 34,939 835 929 326 362

Black or African American......................................... 15,301 13,109 724 805 283 314

Men................................................................. 7,402 6,298 761 828 297 323

Women............................................................. 7,900 6,811 691 779 270 303

Asian.................................................................. 7,952 6,827 1,152 1,336 450 520

Men................................................................. 4,418 3,771 1,331 1,479 520 576

Women............................................................. 3,534 3,056 965 1,141 377 444

Hispanic or Latino ethnicity........................................ 21,122 18,077 696 786 272 306

Men................................................................. 12,679 10,884 746 841 291 328

Women............................................................. 8,444 7,193 621 717 242 279

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 2020 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..................................................... 104,487 $1,002 57,994 $1,087 46,493 $913

16 to 24 years....................................................... 8,426 617 4,600 640 3,826 594

16 to 19 years.................................................... 1,169 506 701 518 469 481

20 to 24 years.................................................... 7,257 640 3,899 662 3,358 610

25 years and over................................................... 96,061 1,046 53,394 1,147 42,667 956

25 to 54 years.................................................... 73,435 1,039 40,835 1,136 32,600 948

25 to 34 years.................................................. 25,958 917 14,487 962 11,471 867

35 to 44 years.................................................. 24,526 1,134 13,798 1,238 10,728 1,010

45 to 54 years.................................................. 22,951 1,144 12,550 1,271 10,400 1,006

55 years and over................................................ 22,626 1,072 12,559 1,191 10,066 977

55 to 64 years.................................................. 18,169 1,090 9,966 1,220 8,203 973

65 years and over............................................. 4,457 1,018 2,593 1,034 1,863 998

White

16 years and over................................................... 81,005 1,017 46,066 1,115 34,939 929

16 to 24 years.................................................... 6,715 616 3,786 639 2,928 593

25 years and over................................................ 74,290 1,069 42,280 1,173 32,010 971

25 to 54 years.................................................. 55,936 1,058 31,918 1,153 24,018 967

55 years and over............................................. 18,355 1,116 10,362 1,242 7,993 981

Black or African American

16 years and over................................................... 13,109 805 6,298 828 6,811 779

16 to 24 years.................................................... 959 579 474 606 485 552

25 years and over................................................ 12,149 839 5,824 869 6,325 811

25 to 54 years.................................................. 9,590 818 4,575 862 5,015 777

55 years and over............................................. 2,559 950 1,249 905 1,311 973

Asian

16 years and over................................................... 6,827 1,336 3,771 1,479 3,056 1,141

16 to 24 years.................................................... 328 781 164 745 164 795

25 years and over................................................ 6,499 1,366 3,607 1,519 2,892 1,157

25 to 54 years.................................................. 5,319 1,427 2,926 1,564 2,393 1,221

55 years and over............................................. 1,180 1,040 681 1,122 499 985

Hispanic or Latino ethnicity

16 years and over................................................... 18,077 786 10,884 841 7,193 717

16 to 24 years.................................................... 1,881 582 996 594 885 570

25 years and over................................................ 16,196 824 9,888 885 6,308 748

25 to 54 years.................................................. 13,443 834 8,226 892 5,217 751

55 years and over............................................. 2,753 771 1,662 819 1,091 741

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

2019

2nd

2020

2nd

2019

2nd

2020

TOTAL

Management, professional, and related occupations................................ 49,611 48,960 $1,295 $1,355

Management, business, and financial operations occupations................... 20,621 20,811 1,372 1,440

Professional and related occupations............................................... 28,990 28,150 1,239 1,288

Service occupations...................................................................... 16,677 12,195 584 625

Sales and office occupations............................................................ 23,764 19,810 761 819

Sales and related occupations....................................................... 9,687 8,167 871 918

Office and administrative support occupations..................................... 14,077 11,643 729 784

Natural resources, construction, and maintenance occupations.................... 11,774 9,863 866 906

Farming, fishing, and forestry occupations......................................... 948 862 562 601

Construction and extraction occupations............................................ 6,615 5,120 863 901

Installation, maintenance, and repair occupations................................. 4,210 3,882 946 1,002

Production, transportation, and material moving occupations....................... 15,742 13,658 731 761

Production occupations................................................................ 7,969 6,302 752 793

Transportation and material moving occupations.................................. 7,773 7,356 712 731

Men

Management, professional, and related occupations................................ 24,037 23,860 1,540 1,603

Management, business, and financial operations occupations................... 11,076 11,062 1,557 1,664

Professional and related occupations............................................... 12,961 12,798 1,527 1,552

Service occupations...................................................................... 7,996 6,137 637 705

Sales and office occupations............................................................ 9,677 7,744 903 963

Sales and related occupations....................................................... 5,345 4,489 1,038 1,069

Office and administrative support occupations..................................... 4,332 3,255 772 829

Natural resources, construction, and maintenance occupations.................... 11,233 9,383 882 917

Farming, fishing, and forestry occupations......................................... 677 657 598 622

Construction and extraction occupations............................................ 6,454 4,963 871 903

Installation, maintenance, and repair occupations................................. 4,102 3,763 953 1,004

Production, transportation, and material moving occupations....................... 12,411 10,871 790 813

Production occupations................................................................ 5,910 4,742 826 863

Transportation and material moving occupations.................................. 6,501 6,129 752 774

Women

Management, professional, and related occupations................................ 25,575 25,101 1,117 1,167

Management, business, and financial operations occupations................... 9,546 9,748 1,176 1,269

Professional and related occupations............................................... 16,029 15,352 1,070 1,130

Service occupations...................................................................... 8,681 6,058 530 583

Sales and office occupations............................................................ 14,087 12,066 718 755

Sales and related occupations....................................................... 4,342 3,678 711 709

Office and administrative support occupations..................................... 9,745 8,388 719 766

Natural resources, construction, and maintenance occupations.................... 540 480 568 676

Farming, fishing, and forestry occupations......................................... 271 205 500 530

Construction and extraction occupations............................................ 161 157 705 810

Installation, maintenance, and repair occupations................................. 109 119 808 766

Production, transportation, and material moving occupations....................... 3,331 2,788 584 603

Production occupations................................................................ 2,059 1,560 595 639

Transportation and material moving occupations.................................. 1,272 1,227 553 563

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, 2nd quarter 2020 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.............................................. 104,487 $496 $670 $1,002 $1,551 $2,383

Men................................................................... 57,994 521 717 1,087 1,743 2,623

Women............................................................... 46,493 465 622 913 1,368 2,021

White.................................................................. 81,005 505 686 1,017 1,572 2,405

Men................................................................. 46,066 538 734 1,115 1,760 2,671

Women............................................................. 34,939 473 631 929 1,368 2,027

Black or African American......................................... 13,109 432 590 805 1,226 1,871

Men................................................................. 6,298 447 598 828 1,242 1,898

Women............................................................. 6,811 420 584 779 1,204 1,848

Asian.................................................................. 6,827 558 794 1,336 2,001 2,912

Men................................................................. 3,771 604 882 1,479 2,280 3,144

Women............................................................. 3,056 512 732 1,141 1,746 2,543

Hispanic or Latino ethnicity........................................ 18,077 440 577 786 1,218 1,833

Men................................................................. 10,884 481 601 841 1,294 1,916

Women............................................................. 7,193 400 527 717 1,100 1,627

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 96,061 515 705 1,046 1,620 2,452

Less than a high school diploma.................................. 5,320 385 491 630 869 1,183

High school graduates, no college1

............................... 21,937 460 596 788 1,133 1,604

Some college or associate degree................................ 24,399 502 660 904 1,300 1,816

Bachelor’s degree and higher2.................................... 44,405 686 976 1,416 2,110 3,087

Bachelor’s degree only.......................................... 26,676 630 893 1,303 1,918 2,880

Advanced degree................................................. 17,729 822 1,127 1,619 2,390 3,518

Men, 25 years and over............................................ 53,394 559 756 1,147 1,815 2,703

Less than a high school diploma............................... 3,743 418 522 685 946 1,299

High school graduates, no college1

............................ 13,635 503 644 878 1,244 1,806

Some college or associate degree............................. 13,291 567 740 1,014 1,472 1,991

Bachelor’s degree and higher2

................................. 22,725 741 1,105 1,646 2,396 3,466

Bachelor’s degree only........................................ 14,064 676 998 1,479 2,198 3,024

Advanced degree.............................................. 8,662 898 1,275 1,899 2,845 3,997

Women, 25 years and over........................................ 42,667 485 650 956 1,411 2,094

Less than a high school diploma............................... 1,576 324 413 523 670 914

High school graduates, no college1

............................ 8,302 410 526 682 941 1,285

Some college or associate degree............................. 11,109 461 598 783 1,083 1,463

Bachelor’s degree and higher2................................. 21,680 651 897 1,253 1,826 2,618

Bachelor’s degree only........................................ 12,612 605 816 1,150 1,614 2,393

Advanced degree.............................................. 9,068 777 1,019 1,411 1,984 2,910

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

2019

2nd

2020

2nd

2019

2nd

2020

SEX AND AGE

Total, 16 years and over................................................................. 23,854 18,187 $277 $316

Men, 16 years and over............................................................... 8,121 6,472 263 314

16 to 24 years........................................................................ 3,498 2,725 209 262

25 years and over................................................................... 4,623 3,747 323 381

Women, 16 years and over........................................................... 15,733 11,715 285 317

16 to 24 years........................................................................ 4,642 3,115 224 239

25 years and over................................................................... 11,091 8,599 317 367

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 18,716 14,085 279 318

Men.................................................................................... 6,363 4,964 262 312

Women................................................................................ 12,353 9,122 288 321

Black or African American............................................................ 2,871 2,499 275 296

Men.................................................................................... 1,010 898 265 300

Women................................................................................ 1,860 1,602 280 294

Asian..................................................................................... 1,284 955 283 358

Men.................................................................................... 357 343 289 387

Women................................................................................ 927 613 282 343

Hispanic or Latino ethnicity........................................................... 4,137 3,279 276 314

Men.................................................................................... 1,467 1,281 280 330

Women................................................................................ 2,670 1,998 274 304

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.