For release 10:00 a.m. (EDT) Tuesday, October 16, 2018 USDL-18-1661 

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

THIRD QUARTER 2018

Median weekly earnings of the nation's 117.2 million full-time wage and salary workers were $887 in 

the third quarter of 2018 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 3.3 percent higher than a year earlier, compared with a gain of 2.6 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 third-quarter data:

• Median weekly earnings of full-time workers were $887 in the third quarter of 2018. Women

had median weekly earnings of $796, or 81.8 percent of the $973 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 82.2 

percent as much as their male counterparts, compared with Black women (86.9 percent), Asian 

women (77.1 percent), and Hispanic women (86.0 percent). (See table 2.)

• Among the major race and ethnicity groups, median weekly earnings of Blacks ($686) and 

Hispanics ($689) working at full-time jobs were lower than those of Whites ($915) and Asians 

($1,128). By sex, median weekly earnings for Black men were $726, or 72.3 percent of the 

median for White men ($1,004). Median earnings for Hispanic men were $722, or 71.9 percent 

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

earnings were $631, or 76.5 percent of those for White women ($825), and earnings for Hispanic 

women were $621, or 75.3 percent of those for White women. Asian men and women earned 

more than their White counterparts. (See table 2.)

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

$1,110 for men ages 35 to 44, $1,152 for men ages 45 to 54, and $1,116 for men ages 55 to 64. 

Usual weekly earnings were highest for women ages 35 to 54: median weekly earnings were 

$882 for women ages 35 to 44 and $892 for women ages 45 to 54. Men and women ages 16 to 

24 had the lowest median weekly earnings, $575 and $515, 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—$1,460 for men 

and $1,084 for women. Men and women employed in service jobs earned the least, $642 and 

$514, respectively. (See table 4.)

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

had median weekly earnings of $556, compared with $736 for high school graduates (no college) 

and $1,338 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 $3,922 or more per week, compared with $2,789 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings were $893 in the third quarter of 2018, up from 

the previous quarter ($879). (See table 1.)

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

The Usual Weekly Earnings news release for the fourth quarter of 2018 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 2014 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

$

2009

3rd quarter......................................... 99,050 54,481 44,569 742 820 664 345 381 309

4th quarter......................................... 98,555 54,410 44,145 747 823 666 344 379 307

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......................................... 105,623 58,679 46,943 790 865 716 335 367 304

2nd quarter........................................ 106,356 59,506 46,850 781 860 714 330 363 302

3rd quarter......................................... 106,746 59,548 47,197 798 879 722 336 370 304

4th quarter......................................... 107,402 60,090 47,312 795 878 724 336 371 306

2015

1st quarter......................................... 108,480 60,370 48,110 801 886 724 340 377 308

2nd quarter........................................ 108,572 60,432 48,139 803 889 725 339 375 306

3rd quarter......................................... 109,295 60,985 48,311 811 897 728 341 377 306

4th quarter......................................... 109,982 61,206 48,776 822 904 730 345 380 307

2016

1st quarter......................................... 110,434 61,650 48,784 823 904 744 346 380 313

2nd quarter........................................ 110,973 61,835 49,138 827 912 743 345 381 310

3rd quarter......................................... 111,600 62,095 49,505 834 918 751 347 382 312

4th quarter......................................... 111,353 62,138 49,215 846 925 759 349 382 314

2017

1st quarter......................................... 112,004 62,508 49,496 857 940 759 351 385 311

2nd quarter........................................ 113,177 63,005 50,172 862 937 779 353 384 319

3rd quarter......................................... 113,668 63,176 50,492 866 944 773 353 385 315

4th quarter......................................... 114,219 63,221 50,997 854 944 771 345 382 312

2018

1st quarter......................................... 114,676 64,012 50,664 873 955 777 350 383 311

2nd quarter........................................ 115,502 64,171 51,331 879 962 779 351 384 311

3rd quarter......................................... 115,995 64,247 51,748 893 979 801 355 389 318

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

2017

3rd

2018

In current dollars In constant (1982-84)

dollars

3rd

2017

3rd

2018

3rd

2017

3rd

2018

SEX AND AGE

Total, 16 years and over.............................................. 114,859 117,184 $859 $887 $350 $352

Men, 16 years and over............................................ 64,179 65,216 937 973 381 386

16 to 24 years.................................................... 6,343 6,363 527 575 214 228

25 years and over................................................ 57,836 58,853 995 1,033 405 410

Women, 16 years and over........................................ 50,680 51,968 767 796 312 316

16 to 24 years.................................................... 4,830 5,034 500 515 203 204

25 years and over................................................ 45,850 46,934 811 841 330 333

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 88,794 90,067 887 915 361 363

Men................................................................. 50,776 51,339 965 1,004 393 398

Women............................................................. 38,018 38,728 791 825 322 327

Black or African American......................................... 14,727 15,338 696 686 283 272

Men................................................................. 7,131 7,461 744 726 303 288

Women............................................................. 7,596 7,877 658 631 268 250

Asian.................................................................. 7,509 7,757 1,010 1,128 411 447

Men................................................................. 4,132 4,281 1,147 1,252 467 497

Women............................................................. 3,377 3,477 902 965 367 382

Hispanic or Latino ethnicity........................................ 20,091 20,501 655 689 267 273

Men................................................................. 12,183 12,407 698 722 284 286

Women............................................................. 7,908 8,093 597 621 243 246

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 2018 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..................................................... 117,184 $887 65,216 $973 51,968 $796

16 to 24 years....................................................... 11,397 539 6,363 575 5,034 515

16 to 19 years.................................................... 1,699 437 1,062 462 637 405

20 to 24 years.................................................... 9,699 580 5,302 596 4,397 540

25 years and over................................................... 105,787 934 58,853 1,033 46,934 841

25 to 54 years.................................................... 81,135 923 45,310 1,012 35,824 845

25 to 34 years.................................................. 29,150 820 16,425 864 12,725 766

35 to 44 years.................................................. 26,597 991 15,091 1,110 11,507 882

45 to 54 years.................................................. 25,387 1,015 13,795 1,152 11,593 892

55 years and over................................................ 24,652 971 13,543 1,111 11,110 826

55 to 64 years.................................................. 19,810 978 10,793 1,116 9,017 838

65 years and over............................................. 4,843 924 2,750 1,056 2,093 760

White

16 years and over................................................... 90,067 915 51,339 1,004 38,728 825

16 to 24 years.................................................... 8,777 554 5,010 576 3,768 522

25 years and over................................................ 81,289 968 46,329 1,070 34,960 867

25 to 54 years.................................................. 61,382 952 35,215 1,037 26,168 869

55 years and over............................................. 19,907 1,019 11,114 1,166 8,793 861

Black or African American

16 years and over................................................... 15,338 686 7,461 726 7,877 631

16 to 24 years.................................................... 1,552 498 766 512 786 485

25 years and over................................................ 13,786 719 6,695 767 7,091 658

25 to 54 years.................................................. 10,960 714 5,330 766 5,629 657

55 years and over............................................. 2,826 738 1,365 771 1,461 668

Asian

16 years and over................................................... 7,757 1,128 4,281 1,252 3,477 965

16 to 24 years.................................................... 506 552 273 691 233 502

25 years and over................................................ 7,251 1,158 4,008 1,350 3,244 1,026

25 to 54 years.................................................. 5,861 1,225 3,246 1,413 2,616 1,100

55 years and over............................................. 1,390 849 762 1,073 628 722

Hispanic or Latino ethnicity

16 years and over................................................... 20,501 689 12,407 722 8,093 621

16 to 24 years.................................................... 2,611 513 1,538 519 1,073 502

25 years and over................................................ 17,890 716 10,869 755 7,021 652

25 to 54 years.................................................. 15,113 718 9,225 754 5,888 658

55 years and over............................................. 2,777 710 1,644 760 1,133 619

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

2017

3rd

2018

3rd

2017

3rd

2018

TOTAL

Management, professional, and related occupations................................ 47,495 48,739 $1,209 $1,243

Management, business, and financial operations occupations................... 19,211 19,658 1,311 1,348

Professional and related occupations............................................... 28,284 29,081 1,155 1,184

Service occupations...................................................................... 16,514 16,969 540 573

Sales and office occupations............................................................ 23,917 24,265 721 757

Sales and related occupations....................................................... 10,081 10,467 774 828

Office and administrative support occupations..................................... 13,836 13,798 700 726

Natural resources, construction, and maintenance occupations.................... 11,904 11,806 804 813

Farming, fishing, and forestry occupations......................................... 1,081 933 530 578

Construction and extraction occupations............................................ 6,412 6,522 805 811

Installation, maintenance, and repair occupations................................. 4,412 4,351 868 900

Production, transportation, and material moving occupations....................... 15,028 15,406 680 700

Production occupations................................................................ 7,746 7,642 700 705

Transportation and material moving occupations.................................. 7,282 7,764 647 695

Men

Management, professional, and related occupations................................ 23,141 23,792 1,411 1,460

Management, business, and financial operations occupations................... 10,471 10,663 1,509 1,530

Professional and related occupations............................................... 12,670 13,129 1,359 1,412

Service occupations...................................................................... 8,189 8,396 610 642

Sales and office occupations............................................................ 9,623 9,796 863 869

Sales and related occupations....................................................... 5,726 5,962 967 960

Office and administrative support occupations..................................... 3,897 3,834 723 758

Natural resources, construction, and maintenance occupations.................... 11,402 11,263 814 821

Farming, fishing, and forestry occupations......................................... 830 725 592 595

Construction and extraction occupations............................................ 6,258 6,305 806 813

Installation, maintenance, and repair occupations................................. 4,314 4,233 873 903

Production, transportation, and material moving occupations....................... 11,824 11,969 718 756

Production occupations................................................................ 5,729 5,499 761 768

Transportation and material moving occupations.................................. 6,095 6,470 683 741

Women

Management, professional, and related occupations................................ 24,354 24,947 1,058 1,084

Management, business, and financial operations occupations................... 8,740 8,995 1,129 1,146

Professional and related occupations............................................... 15,613 15,952 1,020 1,044

Service occupations...................................................................... 8,326 8,572 501 514

Sales and office occupations............................................................ 14,294 14,469 669 710

Sales and related occupations....................................................... 4,355 4,506 601 692

Office and administrative support occupations..................................... 9,939 9,964 692 714

Natural resources, construction, and maintenance occupations.................... 502 543 527 616

Farming, fishing, and forestry occupations......................................... 251 208 470 482

Construction and extraction occupations............................................ 153 217 694 723

Installation, maintenance, and repair occupations................................. 98 118 698 843

Production, transportation, and material moving occupations....................... 3,204 3,436 540 545

Production occupations................................................................ 2,017 2,143 569 554

Transportation and material moving occupations.................................. 1,188 1,293 508 525

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 2018 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.............................................. 117,184 $431 $592 $887 $1,408 $2,107

Men................................................................... 65,216 468 629 973 1,541 2,340

Women............................................................... 51,968 407 542 796 1,221 1,828

White.................................................................. 90,067 449 611 915 1,438 2,168

Men................................................................. 51,339 481 656 1,004 1,568 2,412

Women............................................................. 38,728 419 575 825 1,237 1,851

Black or African American......................................... 15,338 384 493 686 1,110 1,653

Men................................................................. 7,461 399 528 726 1,171 1,765

Women............................................................. 7,877 375 467 631 1,013 1,561

Asian.................................................................. 7,757 448 647 1,128 1,763 2,573

Men................................................................. 4,281 470 730 1,252 1,988 2,894

Women............................................................. 3,477 428 589 965 1,489 2,160

Hispanic or Latino ethnicity........................................ 20,501 395 501 689 1,020 1,534

Men................................................................. 12,407 410 522 722 1,107 1,619

Women............................................................. 8,093 373 474 621 918 1,374

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 105,787 464 621 934 1,466 2,214

Less than a high school diploma.................................. 7,075 346 428 556 739 1,049

High school graduates, no college1

............................... 26,300 418 534 736 1,067 1,492

Some college or associate degree................................ 27,584 458 596 826 1,206 1,678

Bachelor’s degree and higher2.................................... 44,828 623 890 1,338 1,921 2,907

Bachelor’s degree only.......................................... 28,146 594 831 1,232 1,855 2,687

Advanced degree................................................. 16,682 725 1,010 1,487 2,241 3,393

Men, 25 years and over............................................ 58,853 497 683 1,033 1,616 2,483

Less than a high school diploma............................... 4,865 380 476 610 818 1,156

High school graduates, no college1

............................ 16,130 475 597 823 1,197 1,627

Some college or associate degree............................. 14,858 510 682 935 1,380 1,900

Bachelor’s degree and higher2

................................. 22,999 671 997 1,518 2,285 3,367

Bachelor’s degree only........................................ 14,698 620 927 1,415 2,079 2,922

Advanced degree.............................................. 8,301 796 1,165 1,743 2,601 3,922

Women, 25 years and over........................................ 46,934 426 577 841 1,268 1,887

Less than a high school diploma............................... 2,209 305 385 476 586 768

High school graduates, no college1

............................ 10,170 386 479 615 853 1,162

Some college or associate degree............................. 12,726 417 531 712 1,009 1,368

Bachelor’s degree and higher2................................. 21,828 600 820 1,154 1,688 2,316

Bachelor’s degree only........................................ 13,448 576 762 1,069 1,565 2,145

Advanced degree.............................................. 8,381 683 917 1,269 1,871 2,789

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

2017

3rd

2018

3rd

2017

3rd

2018

SEX AND AGE

Total, 16 years and over................................................................. 23,785 23,327 $266 $281

Men, 16 years and over............................................................... 8,099 7,871 253 270

16 to 24 years........................................................................ 3,631 3,223 217 216

25 years and over................................................................... 4,468 4,649 300 321

Women, 16 years and over........................................................... 15,686 15,456 274 287

16 to 24 years........................................................................ 4,736 4,464 208 210

25 years and over................................................................... 10,950 10,992 310 326

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 18,797 18,313 269 283

Men.................................................................................... 6,288 6,092 256 268

Women................................................................................ 12,508 12,221 277 292

Black or African American............................................................ 2,869 2,703 249 259

Men.................................................................................... 999 944 233 272

Women................................................................................ 1,870 1,759 254 252

Asian..................................................................................... 1,148 1,262 285 305

Men.................................................................................... 395 439 259 313

Women................................................................................ 753 823 295 302

Hispanic or Latino ethnicity........................................................... 3,928 4,251 263 276

Men.................................................................................... 1,410 1,438 263 272

Women................................................................................ 2,517 2,813 263 278

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.