For release 10:00 a.m. (EDT) Tuesday, April 16, 2019 USDL-19-0665 

Technical information: (202) 691-6378 • cpsinfo@bls.gov • www.bls.gov/cps

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

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

FIRST QUARTER 2019 

Median weekly earnings of the nation's 116.1 million full-time wage and salary workers were $905 in 

the first quarter of 2019 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 2.7 percent higher than a year earlier, compared with a gain of 1.6 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 $905 in the first quarter of 2019. Women had 

median weekly earnings of $806, or 80.3 percent of the $1,004 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 80.0 

percent as much as their male counterparts, compared with 91.8 percent for Black women, 78.3 

percent for Asian women, and 86.7 percent for Hispanic women. (See table 2.) 

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($737) and 

Hispanics ($696) working at full-time jobs were lower than those of Whites ($935) and Asians 

($1,157). By sex, median weekly earnings for Black men were $772, or 74.7 percent of the median 

for White men ($1,033). Median earnings for Hispanic men were $728, or 70.5 percent of the 

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

were $709, or 85.8 percent of those for White women ($826), and earnings for Hispanic women 

were $631, or 76.4 percent of those for White women. Earnings of Asian men ($1,299) and women 

($1,017) 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 $1,155 

for men ages 35 to 44, $1,170 for men ages 45 to 54, and $1,174 for men ages 55 to 64. Usual 

weekly earnings were also highest for women ages 35 to 64: median weekly earnings were $923 for 

women ages 35 to 44, $876 for women ages 45 to 54, and $886 for women ages 55 to 64. Men and 

women ages 16 to 24 had the lowest median weekly earnings, $605 and $539, respectively. (See 

table 3.) 
- 2 - 

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

and related occupations had the highest median weekly earnings—$1,559 for 

men and $1,100 for women. Men and women employed in service jobs earned the least, 

$672 and $517, respectively. (See table 4.)

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

median weekly earnings of $578, compared with $739 for high school graduates (no college) and 

$1,350 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 $4,350 or more per week, compared with $2,882 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings were $898 in the first quarter of 2019, essentially 

unchanged from the previous quarter ($897). (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 2014 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

$

2010

1st quarter......................................... 98,143 54,098 44,045 748 836 662 344 384 304

2nd quarter........................................ 99,605 55,028 44,577 742 814 671 342 374 309

3rd quarter......................................... 100,412 55,620 44,792 746 821 670 342 377 308

4th quarter......................................... 99,958 55,486 44,472 750 826 676 341 376 308

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......................................... 108,486 60,364 48,122 801 886 724 341 377 307

2nd quarter........................................ 108,544 60,400 48,144 803 890 726 339 376 306

3rd quarter......................................... 109,269 60,977 48,292 810 896 727 341 377 306

4th quarter......................................... 110,049 61,273 48,776 822 904 730 345 380 307

2016

1st quarter......................................... 110,427 61,627 48,799 823 903 743 346 380 312

2nd quarter........................................ 110,929 61,787 49,142 827 914 744 345 382 311

3rd quarter......................................... 111,566 62,082 49,483 833 917 750 346 381 312

4th quarter......................................... 111,463 62,249 49,214 846 924 760 349 382 314

2017

1st quarter......................................... 111,978 62,462 49,516 857 940 759 351 385 311

2nd quarter........................................ 113,118 62,942 50,176 862 939 780 353 385 320

3rd quarter......................................... 113,623 63,155 50,468 865 943 771 353 385 314

4th quarter......................................... 114,372 63,377 50,996 854 943 771 345 381 312

2018

1st quarter......................................... 114,678 64,007 50,671 874 955 776 350 383 311

2nd quarter........................................ 115,481 64,136 51,345 880 964 780 351 385 312

3rd quarter......................................... 115,945 64,198 51,747 893 980 801 355 389 318

4th quarter......................................... 116,160 64,237 51,923 897 991 796 355 392 315

2019

1st quarter......................................... 117,327 64,964 52,362 898 994 800 355 392 316

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

2018

1st

2019

In current dollars In constant (1982-84)

dollars

1st

2018

1st

2019

1st

2018

1st

2019

SEX AND AGE

Total, 16 years and over.............................................. 113,396 116,123 $881 $905 $354 $358

Men, 16 years and over............................................ 63,037 64,075 965 1,004 388 397

16 to 24 years.................................................... 5,482 5,546 563 605 226 239

25 years and over................................................ 57,555 58,529 1,016 1,062 409 420

Women, 16 years and over........................................ 50,359 52,047 783 806 315 319

16 to 24 years.................................................... 4,159 4,702 545 539 219 213

25 years and over................................................ 46,201 47,345 819 846 329 334

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 87,528 89,183 911 935 366 370

Men................................................................. 49,844 50,645 997 1,033 401 409

Women............................................................. 37,684 38,537 810 826 326 327

Black or African American......................................... 14,715 15,231 696 737 280 291

Men................................................................. 7,136 7,168 723 772 291 305

Women............................................................. 7,579 8,063 671 709 270 280

Asian.................................................................. 7,330 7,792 1,066 1,157 429 457

Men................................................................. 4,032 4,187 1,199 1,299 482 514

Women............................................................. 3,298 3,606 941 1,017 378 402

Hispanic or Latino ethnicity........................................ 19,802 20,821 675 696 271 275

Men................................................................. 11,895 12,400 723 728 290 288

Women............................................................. 7,907 8,422 615 631 247 250

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 2019 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..................................................... 116,123 $905 64,075 $1,004 52,047 $806

16 to 24 years....................................................... 10,248 579 5,546 605 4,702 539

16 to 19 years.................................................... 1,270 472 714 488 556 444

20 to 24 years.................................................... 8,978 596 4,832 621 4,146 562

25 years and over................................................... 105,875 954 58,529 1,062 47,345 846

25 to 54 years.................................................... 81,142 942 45,129 1,034 36,013 841

25 to 34 years.................................................. 29,235 815 16,427 875 12,809 760

35 to 44 years.................................................. 26,386 1,033 14,878 1,155 11,508 923

45 to 54 years.................................................. 25,520 1,017 13,824 1,170 11,697 876

55 years and over................................................ 24,732 991 13,401 1,149 11,332 859

55 to 64 years.................................................. 19,977 1,017 10,774 1,174 9,203 886

65 years and over............................................. 4,755 877 2,627 1,033 2,129 757

White

16 years and over................................................... 89,183 935 50,645 1,033 38,537 826

16 to 24 years.................................................... 7,860 589 4,400 613 3,460 556

25 years and over................................................ 81,323 986 46,245 1,102 35,078 864

25 to 54 years.................................................. 61,438 971 35,125 1,068 26,313 857

55 years and over............................................. 19,885 1,031 11,120 1,204 8,765 888

Black or African American

16 years and over................................................... 15,231 737 7,168 772 8,063 709

16 to 24 years.................................................... 1,396 470 650 491 746 457

25 years and over................................................ 13,835 768 6,518 807 7,317 740

25 to 54 years.................................................. 10,883 767 5,228 799 5,655 736

55 years and over............................................. 2,952 773 1,290 849 1,661 747

Asian

16 years and over................................................... 7,792 1,157 4,187 1,299 3,606 1,017

16 to 24 years.................................................... 453 655 200 815 253 612

25 years and over................................................ 7,339 1,212 3,986 1,349 3,353 1,102

25 to 54 years.................................................. 5,943 1,255 3,258 1,361 2,685 1,160

55 years and over............................................. 1,396 973 728 1,239 668 899

Hispanic or Latino ethnicity

16 years and over................................................... 20,821 696 12,400 728 8,422 631

16 to 24 years.................................................... 2,489 554 1,445 575 1,044 520

25 years and over................................................ 18,332 725 10,955 761 7,378 664

25 to 54 years.................................................. 15,399 723 9,247 757 6,151 663

55 years and over............................................. 2,934 736 1,708 783 1,226 666

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

2018

1st

2019

1st

2018

1st

2019

TOTAL

Management, professional, and related occupations................................ 48,940 50,018 $1,229 $1,285

Management, business, and financial operations occupations................... 20,138 20,632 1,341 1,427

Professional and related occupations............................................... 28,801 29,387 1,155 1,212

Service occupations...................................................................... 15,645 16,134 567 587

Sales and office occupations............................................................ 23,461 23,527 734 753

Sales and related occupations....................................................... 9,979 9,906 758 805

Office and administrative support occupations..................................... 13,482 13,621 721 731

Natural resources, construction, and maintenance occupations.................... 11,238 11,325 817 823

Farming, fishing, and forestry occupations......................................... 835 893 589 573

Construction and extraction occupations............................................ 6,218 6,207 801 817

Installation, maintenance, and repair occupations................................. 4,184 4,225 924 903

Production, transportation, and material moving occupations....................... 14,112 15,119 703 718

Production occupations................................................................ 7,453 7,852 713 729

Transportation and material moving occupations.................................. 6,660 7,267 692 706

Men

Management, professional, and related occupations................................ 23,829 24,258 1,454 1,559

Management, business, and financial operations occupations................... 10,907 11,022 1,538 1,656

Professional and related occupations............................................... 12,922 13,236 1,400 1,497

Service occupations...................................................................... 7,872 7,485 641 672

Sales and office occupations............................................................ 9,486 9,548 841 861

Sales and related occupations....................................................... 5,629 5,636 927 943

Office and administrative support occupations..................................... 3,857 3,912 760 779

Natural resources, construction, and maintenance occupations.................... 10,699 10,875 821 836

Farming, fishing, and forestry occupations......................................... 677 731 601 580

Construction and extraction occupations............................................ 6,045 6,054 800 820

Installation, maintenance, and repair occupations................................. 3,978 4,091 924 905

Production, transportation, and material moving occupations....................... 11,151 11,910 749 771

Production occupations................................................................ 5,462 5,749 780 801

Transportation and material moving occupations.................................. 5,688 6,160 717 738

Women

Management, professional, and related occupations................................ 25,110 25,761 1,054 1,100

Management, business, and financial operations occupations................... 9,231 9,610 1,160 1,177

Professional and related occupations............................................... 15,879 16,151 1,000 1,047

Service occupations...................................................................... 7,773 8,649 504 517

Sales and office occupations............................................................ 13,975 13,979 686 705

Sales and related occupations....................................................... 4,350 4,270 632 648

Office and administrative support occupations..................................... 9,625 9,710 709 717

Natural resources, construction, and maintenance occupations.................... 539 450 684 622

Farming, fishing, and forestry occupations......................................... 159 162 476 516

Construction and extraction occupations............................................ 174 154 897 598

Installation, maintenance, and repair occupations................................. 207 134 912 855

Production, transportation, and material moving occupations....................... 2,962 3,209 556 583

Production occupations................................................................ 1,990 2,103 571 582

Transportation and material moving occupations.................................. 971 1,106 519 586

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 2019 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.............................................. 116,123 $442 $605 $905 $1,451 $2,265

Men................................................................... 64,075 481 657 1,004 1,619 2,500

Women............................................................... 52,047 408 555 806 1,243 1,891

White.................................................................. 89,183 460 620 935 1,475 2,288

Men................................................................. 50,645 493 679 1,033 1,651 2,519

Women............................................................. 38,537 420 574 826 1,251 1,887

Black or African American......................................... 15,231 388 515 737 1,113 1,684

Men................................................................. 7,168 418 554 772 1,176 1,768

Women............................................................. 8,063 369 487 709 1,027 1,576

Asian.................................................................. 7,792 486 687 1,157 1,909 2,894

Men................................................................. 4,187 505 745 1,299 2,113 3,097

Women............................................................. 3,606 468 618 1,017 1,727 2,406

Hispanic or Latino ethnicity........................................ 20,821 392 510 696 1,059 1,632

Men................................................................. 12,400 417 548 728 1,134 1,737

Women............................................................. 8,422 363 477 631 955 1,486

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 105,875 468 635 954 1,519 2,309

Less than a high school diploma.................................. 6,896 348 433 578 753 1,053

High school graduates, no college1

............................... 26,344 417 540 739 1,069 1,520

Some college or associate degree................................ 27,012 459 603 835 1,234 1,748

Bachelor’s degree and higher2.................................... 45,624 637 903 1,350 2,056 3,014

Bachelor’s degree only.......................................... 28,254 596 817 1,213 1,880 2,748

Advanced degree................................................. 17,369 773 1,069 1,574 2,334 3,583

Men, 25 years and over............................................ 58,529 502 696 1,062 1,709 2,604

Less than a high school diploma............................... 4,612 382 488 633 817 1,162

High school graduates, no college1

............................ 16,307 465 602 821 1,200 1,657

Some college or associate degree............................. 14,569 516 697 986 1,437 1,924

Bachelor’s degree and higher2

................................. 23,041 687 1,022 1,589 2,381 3,520

Bachelor’s degree only........................................ 14,618 635 926 1,426 2,120 3,104

Advanced degree.............................................. 8,423 867 1,256 1,898 2,891 4,350

Women, 25 years and over........................................ 47,345 425 584 846 1,300 1,913

Less than a high school diploma............................... 2,284 305 385 483 597 756

High school graduates, no college1

............................ 10,036 379 483 622 844 1,169

Some college or associate degree............................. 12,443 410 533 718 988 1,379

Bachelor’s degree and higher2................................. 22,582 607 825 1,158 1,726 2,478

Bachelor’s degree only........................................ 13,636 571 752 1,051 1,522 2,185

Advanced degree.............................................. 8,946 736 969 1,357 1,922 2,882

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

2018

1st

2019

1st

2018

1st

2019

SEX AND AGE

Total, 16 years and over................................................................. 24,864 24,098 $266 $269

Men, 16 years and over............................................................... 8,538 8,072 260 266

16 to 24 years........................................................................ 3,708 3,413 210 209

25 years and over................................................................... 4,830 4,658 309 329

Women, 16 years and over........................................................... 16,326 16,026 268 271

16 to 24 years........................................................................ 4,958 4,425 200 188

25 years and over................................................................... 11,368 11,601 310 317

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 19,476 19,035 269 273

Men.................................................................................... 6,552 6,226 261 269

Women................................................................................ 12,925 12,808 273 275

Black or African American............................................................ 2,979 2,676 248 244

Men.................................................................................... 1,027 1,001 245 246

Women................................................................................ 1,952 1,675 249 243

Asian..................................................................................... 1,386 1,328 280 300

Men.................................................................................... 536 475 290 284

Women................................................................................ 850 853 272 307

Hispanic or Latino ethnicity........................................................... 4,007 4,157 264 273

Men.................................................................................... 1,520 1,449 260 284

Women................................................................................ 2,488 2,707 265 268

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.