For release 10:00 a.m. (EDT) Wednesday, April 15, 2020 USDL-20-0611 

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

FIRST QUARTER 2020

Median weekly earnings of the nation's 115.9 million full-time wage and salary workers were $957 in 

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

This was 5.7 percent higher than a year earlier, compared with a gain of 2.1 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 $957 in the first quarter of 2020. Women had 

median weekly earnings of $857, or 80.4 percent of the $1,066 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 79.7 

percent as much as their male counterparts, compared with 90.2 percent for Black women, 81.3 

percent for Asian women, and 88.9 percent for Hispanic women. (See table 2.) 

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

Current Population Survey (CPS) usual weekly earnings data for the first quarter of 2020 reflect the 

impact on the labor market in March 2020 of the coronavirus (COVID-19) and efforts to contain the 

illness. More information on labor market developments in March is available at 

www.bls.gov/cps/employment-situation-covid19-faq-march-2020.pdf . 
-2- 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($775) and 

Hispanics ($721) working full-time jobs were lower than those of Whites ($980) and Asians 

($1,221). By sex, median weekly earnings for Black men were $823, or 75.1 percent of the median 

for White men ($1,096). Median earnings for Hispanic men were $763, or 69.6 percent of the 

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

were $742, or 85.0 percent of those for White women ($873), and earnings for Hispanic women 

were $678, or 77.7 percent of those for White women. Earnings of Asian men ($1,360) and women 

($1,106) 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 $1,197 

for men ages 35 to 44, $1,246 for men ages 45 to 54, and $1,223 for men ages 55 to 64. Usual 

weekly earnings were also highest for women ages 35 to 64: median weekly earnings were $944 for 

women ages 35 to 44, $926 for women ages 45 to 54, and $921 for women ages 55 to 64. Men and 

women ages 16 to 24 had the lowest median weekly earnings, $593 and $582, 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—$1,556 for men and $1,137 for 

women. Men and women employed in service occupations earned the least, $666 and $559, 

respectively. (See table 4.)

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

median weekly earnings of $609, compared with $768 for high school graduates (no college) and 

$1,386 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 $4,406 or more per week, compared with $2,909 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings increased to $949 in the first quarter of 2020. (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 2015 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. 

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

1st quarter......................................... 99,670 55,337 44,333 750 821 679 338 370 306

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

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

2019

1st

2020

In current dollars In constant (1982-84)

dollars

1st

2019

1st

2020

1st

2019

1st

2020

SEX AND AGE

Total, 16 years and over.............................................. 116,123 115,930 $905 $957 $358 $370

Men, 16 years and over............................................ 64,075 63,555 1,004 1,066 397 413

16 to 24 years.................................................... 5,546 5,251 605 593 239 230

25 years and over................................................ 58,529 58,303 1,062 1,131 420 438

Women, 16 years and over........................................ 52,047 52,375 806 857 319 332

16 to 24 years.................................................... 4,702 4,428 539 582 213 226

25 years and over................................................ 47,345 47,946 846 894 334 346

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 89,183 89,322 935 980 370 379

Men................................................................. 50,645 49,905 1,033 1,096 409 424

Women............................................................. 38,537 39,417 826 873 327 338

Black or African American......................................... 15,231 14,902 737 775 291 300

Men................................................................. 7,168 7,065 772 823 305 319

Women............................................................. 8,063 7,837 709 742 280 287

Asian.................................................................. 7,792 7,736 1,157 1,221 457 473

Men................................................................. 4,187 4,404 1,299 1,360 514 527

Women............................................................. 3,606 3,332 1,017 1,106 402 428

Hispanic or Latino ethnicity........................................ 20,821 21,160 696 721 275 279

Men................................................................. 12,400 12,477 728 763 288 295

Women............................................................. 8,422 8,683 631 678 250 262

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 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..................................................... 115,930 $957 63,555 $1,066 52,375 $857

16 to 24 years....................................................... 9,680 588 5,251 593 4,428 582

16 to 19 years.................................................... 1,316 477 705 483 611 464

20 to 24 years.................................................... 8,364 605 4,546 609 3,818 599

25 years and over................................................... 106,250 1,000 58,303 1,131 47,946 894

25 to 54 years.................................................... 81,288 988 44,632 1,109 36,656 894

25 to 34 years.................................................. 29,541 872 16,239 924 13,302 807

35 to 44 years.................................................. 26,628 1,081 14,852 1,197 11,776 944

45 to 54 years.................................................. 25,118 1,101 13,541 1,246 11,578 926

55 years and over................................................ 24,962 1,047 13,671 1,197 11,291 895

55 to 64 years.................................................. 19,886 1,082 10,812 1,223 9,073 921

65 years and over............................................. 5,076 938 2,859 1,093 2,217 777

White

16 years and over................................................... 89,322 980 49,905 1,096 39,417 873

16 to 24 years.................................................... 7,561 599 4,176 605 3,385 591

25 years and over................................................ 81,761 1,023 45,729 1,154 36,032 910

25 to 54 years.................................................. 61,662 1,006 34,507 1,128 27,155 906

55 years and over............................................. 20,099 1,099 11,223 1,265 8,877 925

Black or African American

16 years and over................................................... 14,902 775 7,065 823 7,837 742

16 to 24 years.................................................... 1,205 467 587 457 618 501

25 years and over................................................ 13,698 811 6,478 880 7,219 768

25 to 54 years.................................................. 10,838 815 5,168 891 5,670 767

55 years and over............................................. 2,860 797 1,311 836 1,549 769

Asian

16 years and over................................................... 7,736 1,221 4,404 1,360 3,332 1,106

16 to 24 years.................................................... 405 749 217 849 188 738

25 years and over................................................ 7,331 1,242 4,187 1,383 3,144 1,140

25 to 54 years.................................................. 5,915 1,333 3,366 1,429 2,548 1,200

55 years and over............................................. 1,416 1,010 820 1,142 596 863

Hispanic or Latino ethnicity

16 years and over................................................... 21,160 721 12,477 763 8,683 678

16 to 24 years.................................................... 2,459 559 1,363 564 1,096 552

25 years and over................................................ 18,701 759 11,113 796 7,587 702

25 to 54 years.................................................. 15,647 759 9,265 795 6,382 701

55 years and over............................................. 3,054 761 1,848 801 1,206 707

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

2019

1st

2020

1st

2019

1st

2020

TOTAL

Management, professional, and related occupations................................ 50,018 51,719 $1,285 $1,332

Management, business, and financial operations occupations................... 20,632 21,475 1,427 1,445

Professional and related occupations............................................... 29,387 30,244 1,212 1,235

Service occupations...................................................................... 16,134 15,373 587 605

Sales and office occupations............................................................ 23,527 22,031 753 796

Sales and related occupations....................................................... 9,906 9,597 805 877

Office and administrative support occupations..................................... 13,621 12,434 731 761

Natural resources, construction, and maintenance occupations.................... 11,325 11,106 823 880

Farming, fishing, and forestry occupations......................................... 893 842 573 579

Construction and extraction occupations............................................ 6,207 6,013 817 884

Installation, maintenance, and repair occupations................................. 4,225 4,251 903 958

Production, transportation, and material moving occupations....................... 15,119 15,700 718 738

Production occupations................................................................ 7,852 7,297 729 759

Transportation and material moving occupations.................................. 7,267 8,403 706 719

Men

Management, professional, and related occupations................................ 24,258 24,815 1,559 1,556

Management, business, and financial operations occupations................... 11,022 11,189 1,656 1,652

Professional and related occupations............................................... 13,236 13,626 1,497 1,497

Service occupations...................................................................... 7,485 7,332 672 666

Sales and office occupations............................................................ 9,548 8,752 861 961

Sales and related occupations....................................................... 5,636 5,379 943 1,046

Office and administrative support occupations..................................... 3,912 3,373 779 842

Natural resources, construction, and maintenance occupations.................... 10,875 10,471 836 898

Farming, fishing, and forestry occupations......................................... 731 622 580 601

Construction and extraction occupations............................................ 6,054 5,789 820 892

Installation, maintenance, and repair occupations................................. 4,091 4,060 905 970

Production, transportation, and material moving occupations....................... 11,910 12,185 771 789

Production occupations................................................................ 5,749 5,357 801 838

Transportation and material moving occupations.................................. 6,160 6,828 738 753

Women

Management, professional, and related occupations................................ 25,761 26,904 1,100 1,137

Management, business, and financial operations occupations................... 9,610 10,286 1,177 1,250

Professional and related occupations............................................... 16,151 16,618 1,047 1,067

Service occupations...................................................................... 8,649 8,042 517 559

Sales and office occupations............................................................ 13,979 13,279 705 726

Sales and related occupations....................................................... 4,270 4,217 648 707

Office and administrative support occupations..................................... 9,710 9,062 717 732

Natural resources, construction, and maintenance occupations.................... 450 635 622 653

Farming, fishing, and forestry occupations......................................... 162 220 516 531

Construction and extraction occupations............................................ 154 224 598 624

Installation, maintenance, and repair occupations................................. 134 191 855 804

Production, transportation, and material moving occupations....................... 3,209 3,515 583 619

Production occupations................................................................ 2,103 1,940 582 618

Transportation and material moving occupations.................................. 1,106 1,575 586 620

NOTE: Updated population controls are introduced annually with the release of January data.
Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by

selected characteristics, 1st quarter 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.............................................. 115,930 $468 $630 $957 $1,513 $2,320

Men................................................................... 63,555 493 686 1,066 1,676 2,623

Women............................................................... 52,375 434 592 857 1,320 1,967

White.................................................................. 89,322 479 648 980 1,542 2,366

Men................................................................. 49,905 504 705 1,096 1,734 2,698

Women............................................................. 39,417 446 599 873 1,329 1,942

Black or African American......................................... 14,902 400 562 775 1,181 1,806

Men................................................................. 7,065 417 586 823 1,271 1,876

Women............................................................. 7,837 386 538 742 1,083 1,679

Asian.................................................................. 7,736 507 736 1,221 1,927 2,976

Men................................................................. 4,404 513 787 1,360 2,229 3,174

Women............................................................. 3,332 496 676 1,106 1,746 2,524

Hispanic or Latino ethnicity........................................ 21,160 413 538 721 1,115 1,645

Men................................................................. 12,477 437 565 763 1,196 1,789

Women............................................................. 8,683 387 511 678 987 1,479

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 106,250 491 670 1,000 1,565 2,410

Less than a high school diploma.................................. 6,314 356 476 609 804 1,227

High school graduates, no college1

............................... 26,062 431 578 768 1,114 1,567

Some college or associate degree................................ 26,838 484 622 879 1,292 1,829

Bachelor’s degree and higher2.................................... 47,037 661 936 1,386 2,098 3,103

Bachelor’s degree only.......................................... 29,131 620 877 1,263 1,903 2,881

Advanced degree................................................. 17,906 761 1,068 1,603 2,411 3,649

Men, 25 years and over............................................ 58,303 524 729 1,131 1,761 2,742

Less than a high school diploma............................... 4,194 394 506 661 929 1,336

High school graduates, no college1

............................ 15,861 485 621 858 1,234 1,719

Some college or associate degree............................. 14,411 533 714 1,014 1,471 2,009

Bachelor’s degree and higher2

................................. 23,837 725 1,064 1,609 2,405 3,649

Bachelor’s degree only........................................ 15,171 676 979 1,473 2,237 3,145

Advanced degree.............................................. 8,666 855 1,255 1,889 2,897 4,406

Women, 25 years and over........................................ 47,946 459 611 894 1,362 2,020

Less than a high school diploma............................... 2,120 286 400 527 677 825

High school graduates, no college1

............................ 10,200 385 502 661 885 1,251

Some college or associate degree............................. 12,427 450 575 754 1,059 1,486

Bachelor’s degree and higher2................................. 23,200 618 862 1,182 1,768 2,520

Bachelor’s degree only........................................ 13,960 586 792 1,100 1,588 2,297

Advanced degree.............................................. 9,240 734 962 1,372 2,005 2,909

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

2019

1st

2020

1st

2019

1st

2020

SEX AND AGE

Total, 16 years and over................................................................. 24,098 24,785 $269 $293

Men, 16 years and over............................................................... 8,072 8,684 266 285

16 to 24 years........................................................................ 3,413 3,781 209 232

25 years and over................................................................... 4,658 4,903 329 349

Women, 16 years and over........................................................... 16,026 16,102 271 298

16 to 24 years........................................................................ 4,425 4,666 188 217

25 years and over................................................................... 11,601 11,436 317 344

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 19,035 19,308 273 292

Men.................................................................................... 6,226 6,607 269 281

Women................................................................................ 12,808 12,701 275 298

Black or African American............................................................ 2,676 3,147 244 285

Men.................................................................................... 1,001 1,190 246 290

Women................................................................................ 1,675 1,957 243 280

Asian..................................................................................... 1,328 1,290 300 314

Men.................................................................................... 475 486 284 300

Women................................................................................ 853 803 307 334

Hispanic or Latino ethnicity........................................................... 4,157 4,484 273 296

Men.................................................................................... 1,449 1,597 284 293

Women................................................................................ 2,707 2,888 268 298

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.