For release 10:00 a.m. (ET) Friday, October 16, 2020 USDL-20-1929 

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

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

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

THIRD QUARTER 2020

Median weekly earnings of the nation's 109.7 million full-time wage and salary workers were $994 in 

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

This was 8.2 percent higher than a year earlier, compared with a gain of 1.2 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 third-quarter data:

• Median weekly earnings of full-time workers were $994 in the third quarter of 2020. Women had 

median weekly earnings of $902, or 81.7 percent of the $1,104 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 81.1 

percent as much as their male counterparts, compared with 88.4 percent for Black women, 79.4 

percent for Asian women, and 87.7 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($813) and 

Hispanics ($785) working full-time jobs were lower than those of Whites ($1,008) and Asians 

($1,392). By sex, median weekly earnings for Black men were $869, or 77.5 percent of the median 

for White men ($1,122). Median earnings for Hispanic men were $823, or 73.4 percent of the 

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

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

Usual weekly earnings data for the third 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. More information on labor market developments in 

recent months is available at www.bls.gov/covid19/effects-of-covid-19-pandemic-and-response-on-theemployment-situation-news-release.htm . 
- 2 - 

were $768, or 84.4 percent of those for White women ($910), and earnings for Hispanic women 

were $722, or 79.3 percent of those for White women. Earnings of Asian men ($1,542) and women 

($1,224) 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 $1,237 

for men ages 35 to 44, $1,308 for men ages 45 to 54, and $1,252 for men ages 55 to 64. Usual 

weekly earnings were also highest for women ages 35 to 64: median weekly earnings were $989 for 

women ages 35 to 44, $1,002 for women ages 45 to 54, and $959 for women ages 55 to 64. Men and 

women ages 16 to 24 had the lowest median weekly earnings, $631 and $583, 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—$1,598 for men and $1,198 for 

women. Men and women employed in service occupations earned the least, $721 and $569, 

respectively. (See table 4.)

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

median weekly earnings of $642, compared with $793 for high school graduates (no college) and 

$1,457 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 $3,902 or more per week, compared with $3,112 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings were $998 in the third quarter of 2020, little changed 

from the previous quarter. (See table 1.) 

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

The Usual Weekly Earnings news release for the fourth quarter of 2020, scheduled for release in January 

2021, will incorporate annual revisions to seasonally adjusted data for the number of full-time wage and 

salary workers and median weekly earnings in current dollars. (See table 1.) Estimates for constant 

(1982-84) dollar median weekly earnings also will be affected by revisions to the current dollar series. 

Seasonally adjusted estimates back to the first quarter of 2016 will be 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

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

3rd quarter......................................... 109,622 60,332 49,290 998 1,109 905 384 427 349

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

3rd

2019

3rd

2020

In current dollars In constant (1982-84)

dollars

3rd

2019

3rd

2020

3rd

2019

3rd

2020

SEX AND AGE

Total, 16 years and over.............................................. 118,358 109,652 $919 $994 $358 $383

Men, 16 years and over............................................ 65,655 60,699 1,002 1,104 391 425

16 to 24 years.................................................... 6,493 5,516 601 631 234 243

25 years and over................................................ 59,162 55,183 1,070 1,164 417 448

Women, 16 years and over........................................ 52,703 48,954 825 902 322 347

16 to 24 years.................................................... 5,231 4,201 538 583 210 225

25 years and over................................................ 47,472 44,753 877 942 342 362

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 90,557 84,482 943 1,008 368 388

Men................................................................. 51,479 47,959 1,025 1,122 399 432

Women............................................................. 39,078 36,523 843 910 328 350

Black or African American......................................... 15,843 13,868 727 813 283 313

Men................................................................. 7,552 6,687 768 869 299 335

Women............................................................. 8,291 7,181 683 768 266 296

Asian.................................................................. 7,773 7,355 1,247 1,392 486 536

Men................................................................. 4,356 3,952 1,360 1,542 530 594

Women............................................................. 3,417 3,403 1,138 1,224 443 471

Hispanic or Latino ethnicity........................................ 21,472 19,086 718 785 280 302

Men................................................................. 12,783 11,553 757 823 295 317

Women............................................................. 8,688 7,533 661 722 258 278

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, 3rd 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..................................................... 109,652 $994 60,699 $1,104 48,954 $902

16 to 24 years....................................................... 9,716 606 5,516 631 4,201 583

16 to 19 years.................................................... 1,533 498 943 513 589 480

20 to 24 years.................................................... 8,183 629 4,572 659 3,611 599

25 years and over................................................... 99,936 1,051 55,183 1,164 44,753 942

25 to 54 years.................................................... 76,147 1,043 42,265 1,149 33,882 942

25 to 34 years.................................................. 27,242 918 14,994 957 12,248 888

35 to 44 years.................................................. 25,647 1,129 14,416 1,237 11,231 989

45 to 54 years.................................................. 23,258 1,154 12,855 1,308 10,403 1,002

55 years and over................................................ 23,789 1,087 12,918 1,231 10,871 942

55 to 64 years.................................................. 18,819 1,108 10,153 1,252 8,666 959

65 years and over............................................. 4,970 1,006 2,764 1,163 2,206 880

White

16 years and over................................................... 84,482 1,008 47,959 1,122 36,523 910

16 to 24 years.................................................... 7,529 611 4,381 640 3,147 580

25 years and over................................................ 76,953 1,070 43,577 1,174 33,375 952

25 to 54 years.................................................. 57,649 1,056 32,766 1,154 24,883 951

55 years and over............................................. 19,304 1,127 10,811 1,271 8,492 952

Black or African American

16 years and over................................................... 13,868 813 6,687 869 7,181 768

16 to 24 years.................................................... 1,151 560 639 547 512 579

25 years and over................................................ 12,716 848 6,048 931 6,669 793

25 to 54 years.................................................. 9,976 839 4,801 925 5,174 790

55 years and over............................................. 2,741 889 1,247 945 1,494 798

Asian

16 years and over................................................... 7,355 1,392 3,952 1,542 3,403 1,224

16 to 24 years.................................................... 426 679 199 677 227 682

25 years and over................................................ 6,929 1,428 3,753 1,588 3,176 1,300

25 to 54 years.................................................. 5,717 1,510 3,159 1,628 2,558 1,360

55 years and over............................................. 1,213 1,137 594 1,321 618 1,030

Hispanic or Latino ethnicity

16 years and over................................................... 19,086 785 11,553 823 7,533 722

16 to 24 years.................................................... 2,135 579 1,304 605 830 522

25 years and over................................................ 16,951 821 10,248 877 6,702 759

25 to 54 years.................................................. 14,126 828 8,553 873 5,573 776

55 years and over............................................. 2,825 788 1,696 893 1,129 685

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

3rd

2019

3rd

2020

3rd

2019

3rd

2020

TOTAL

Management, professional, and related occupations................................ 50,175 49,893 $1,322 $1,390

Management, business, and financial operations occupations................... 20,550 20,371 1,421 1,518

Professional and related occupations............................................... 29,624 29,522 1,246 1,323

Service occupations...................................................................... 17,195 13,514 595 641

Sales and office occupations............................................................ 23,661 20,897 764 825

Sales and related occupations....................................................... 9,883 8,662 824 870

Office and administrative support occupations..................................... 13,778 12,235 741 807

Natural resources, construction, and maintenance occupations.................... 11,789 10,660 875 902

Farming, fishing, and forestry occupations......................................... 879 694 576 583

Construction and extraction occupations............................................ 6,476 5,889 879 910

Installation, maintenance, and repair occupations................................. 4,434 4,077 933 970

Production, transportation, and material moving occupations....................... 15,539 14,689 724 748

Production occupations................................................................ 7,862 6,759 738 772

Transportation and material moving occupations.................................. 7,677 7,930 710 721

Men

Management, professional, and related occupations................................ 24,327 24,078 1,533 1,598

Management, business, and financial operations occupations................... 11,074 11,070 1,570 1,667

Professional and related occupations............................................... 13,253 13,008 1,495 1,546

Service occupations...................................................................... 8,297 6,686 658 721

Sales and office occupations............................................................ 9,640 8,216 854 983

Sales and related occupations....................................................... 5,481 4,788 955 1,070

Office and administrative support occupations..................................... 4,159 3,428 764 935

Natural resources, construction, and maintenance occupations.................... 11,250 10,186 883 914

Farming, fishing, and forestry occupations......................................... 683 544 595 600

Construction and extraction occupations............................................ 6,294 5,730 881 914

Installation, maintenance, and repair occupations................................. 4,273 3,913 933 981

Production, transportation, and material moving occupations....................... 12,141 11,532 774 794

Production occupations................................................................ 5,685 5,007 804 831

Transportation and material moving occupations.................................. 6,456 6,525 745 756

Women

Management, professional, and related occupations................................ 25,847 25,815 1,143 1,198

Management, business, and financial operations occupations................... 9,477 9,300 1,230 1,345

Professional and related occupations............................................... 16,371 16,515 1,092 1,142

Service occupations...................................................................... 8,898 6,828 552 569

Sales and office occupations............................................................ 14,021 12,681 716 761

Sales and related occupations....................................................... 4,402 3,874 671 734

Office and administrative support occupations..................................... 9,619 8,807 731 770

Natural resources, construction, and maintenance occupations.................... 539 473 667 664

Farming, fishing, and forestry occupations......................................... 196 150 504 524

Construction and extraction occupations............................................ 182 159 708 807

Installation, maintenance, and repair occupations................................. 161 165 927 728

Production, transportation, and material moving occupations....................... 3,398 3,157 597 624

Production occupations................................................................ 2,177 1,752 593 635

Transportation and material moving occupations.................................. 1,221 1,404 603 617

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, 3rd 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.............................................. 109,652 $490 $667 $994 $1,575 $2,383

Men................................................................... 60,699 515 710 1,104 1,749 2,634

Women............................................................... 48,954 461 613 902 1,406 2,084

White.................................................................. 84,482 497 681 1,008 1,582 2,375

Men................................................................. 47,959 522 725 1,122 1,758 2,637

Women............................................................. 36,523 474 622 910 1,390 2,022

Black or African American......................................... 13,868 433 589 813 1,297 1,953

Men................................................................. 6,687 459 621 869 1,389 2,022

Women............................................................. 7,181 412 565 768 1,226 1,880

Asian.................................................................. 7,355 568 803 1,392 2,201 3,119

Men................................................................. 3,952 617 873 1,542 2,500 3,414

Women............................................................. 3,403 510 745 1,224 1,911 2,710

Hispanic or Latino ethnicity........................................ 19,086 433 580 785 1,209 1,846

Men................................................................. 11,553 477 609 823 1,294 1,918

Women............................................................. 7,533 403 518 722 1,068 1,728

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 99,936 511 703 1,051 1,654 2,481

Less than a high school diploma.................................. 5,221 387 494 642 822 1,152

High school graduates, no college1

............................... 23,817 446 593 793 1,155 1,611

Some college or associate degree................................ 25,098 503 663 914 1,319 1,881

Bachelor’s degree and higher2.................................... 45,801 688 966 1,457 2,124 3,111

Bachelor’s degree only.......................................... 27,775 633 899 1,355 1,977 2,890

Advanced degree................................................. 18,026 796 1,132 1,636 2,400 3,500

Men, 25 years and over............................................ 55,183 563 754 1,164 1,843 2,738

Less than a high school diploma............................... 3,532 418 535 696 902 1,285

High school graduates, no college1

............................ 15,007 496 653 901 1,299 1,817

Some college or associate degree............................. 13,711 570 732 1,056 1,491 2,104

Bachelor’s degree and higher2

................................. 22,933 739 1,118 1,665 2,420 3,492

Bachelor’s degree only........................................ 14,285 693 999 1,552 2,282 3,226

Advanced degree.............................................. 8,648 893 1,299 1,874 2,786 3,902

Women, 25 years and over........................................ 44,753 483 647 942 1,453 2,124

Less than a high school diploma............................... 1,688 319 429 523 677 872

High school graduates, no college1

............................ 8,810 398 507 677 904 1,223

Some college or associate degree............................. 11,387 470 595 785 1,082 1,515

Bachelor’s degree and higher2................................. 22,868 640 894 1,270 1,878 2,676

Bachelor’s degree only........................................ 13,490 599 817 1,159 1,690 2,305

Advanced degree.............................................. 9,378 739 1,009 1,471 2,089 3,112

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

3rd

2019

3rd

2020

3rd

2019

3rd

2020

SEX AND AGE

Total, 16 years and over................................................................. 23,637 20,820 $285 $315

Men, 16 years and over............................................................... 8,266 7,604 268 316

16 to 24 years........................................................................ 3,405 3,187 216 254

25 years and over................................................................... 4,861 4,417 309 399

Women, 16 years and over........................................................... 15,371 13,216 296 315

16 to 24 years........................................................................ 4,428 4,063 225 235

25 years and over................................................................... 10,943 9,153 339 377

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 18,684 16,567 289 321

Men.................................................................................... 6,440 6,041 272 317

Women................................................................................ 12,245 10,526 299 324

Black or African American............................................................ 2,492 2,391 261 280

Men.................................................................................... 1,014 851 252 304

Women................................................................................ 1,478 1,540 267 267

Asian..................................................................................... 1,436 989 315 347

Men.................................................................................... 449 401 269 345

Women................................................................................ 987 588 345 347

Hispanic or Latino ethnicity........................................................... 4,107 3,925 286 311

Men.................................................................................... 1,362 1,624 278 317

Women................................................................................ 2,745 2,301 289 307

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.