For release 10:00 a.m. (EDT) Thursday, October 20, 2016 USDL-16-2025 

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 2016

Median weekly earnings of the nation’s 112.8 million full-time wage and salary workers were $827 in 

the third quarter of 2016 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 3.0 percent higher than a year earlier, compared with a gain of 1.1 percent in the Consumer 

Price Index for All Urban Consumers (CPI-U) over the same period. 

Data on usual weekly earnings are collected as part of the Current Population Survey, a nationwide 

sample survey of households in which respondents are asked, among other things, how much each wage 

and salary worker usually earns. (See the Technical Note in this news release.) Data shown in this 

release are not seasonally adjusted unless otherwise specified. Highlights from the third-quarter data are:

• Median weekly earnings of full-time workers were $827 in the third quarter of 2016. Women

had median weekly earnings of $745, or 81.8 percent of the $911 median for men. (See table 2.)

• The women’s-to-men’s earnings ratio varied by race and ethnicity. White women earned 81.5

percent as much as their male counterparts, compared with Black women (87.3 percent), Asian

women (75.0 percent), and Hispanic women (88.9 percent). (See table 2.)

• Among the major race and ethnicity groups, median weekly earnings for Black men working at

full-time jobs were $732, or 78.5 percent of the median for White men ($932). The difference

was less among women, as Black women’s median earnings ($639) were 84.1 percent of those

for White women ($760). Overall, median earnings of Hispanics who worked full time ($632)

were lower than those of Blacks ($685), Whites ($854), and Asians ($1,010). (See table 2.)

• Usual weekly earnings of full-time workers varied by age. Among men, those age 55 to 64 had

the highest median weekly earnings, at $1,117. For women, usual weekly earnings were highest

for those ages 45 to 54 ($842) and 35 to 44 ($827). Workers age 16 to 24 had the lowest median

weekly earnings, at $497. (See table 3.)

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

professional, and related occupations had the highest median weekly earnings―$1,408 for men

and $1,024 for women. Men and women employed in service jobs earned the least, $592 and

$485, respectively. (See table 4.)
- 2 - 

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

had median weekly earnings of $504, compared with $700 for high school graduates (no college)

and $1,266 for those holding at least a bachelor’s degree. Among college graduates with

advanced degrees (professional or master’s degree and above), the highest earning 10 percent of

male workers made $3,722 or more per week, compared with $2,416 or more for their female

counterparts. (See table 5.)

• Seasonally adjusted median weekly earnings were $834 in the third quarter of 2016, little

changed from the previous quarter ($828). (See table 1.)

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

The Usual Weekly Earnings news release for the fourth quarter of 2016 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 2012 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

$

2007

3rd Quarter........................................ 107,156 60,216 46,940 698 774 621 336 372 298

4th Quarter........................................ 108,178 60,508 47,670 700 774 615 332 368 292

2008

1st Quarter........................................ 107,786 60,378 47,408 713 783 633 335 368 298

2nd Quarter........................................ 107,046 59,586 47,460 722 802 636 335 372 295

3rd Quarter........................................ 106,136 59,273 46,863 724 802 637 331 367 291

4th Quarter........................................ 105,617 58,511 47,106 727 806 647 340 377 302

2009

1st Quarter........................................ 101,683 56,302 45,381 732 815 645 345 384 304

2nd Quarter........................................ 99,996 55,233 44,763 737 818 652 345 383 305

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........................................ 102,150 57,109 45,041 764 841 693 335 368 303

2nd Quarter........................................ 102,510 57,065 45,445 772 870 687 337 380 300

3rd Quarter........................................ 102,632 57,219 45,413 766 836 693 333 364 302

4th Quarter........................................ 103,727 57,770 45,957 772 868 691 333 375 298

2013

1st Quarter........................................ 103,886 57,896 45,989 768 860 699 331 370 301

2nd Quarter........................................ 103,947 57,909 46,037 777 866 706 335 373 304

3rd Quarter........................................ 104,515 58,128 46,387 779 855 706 334 367 303

4th Quarter........................................ 104,733 58,064 46,669 782 862 712 334 368 304

2014

1st Quarter........................................ 105,544 58,692 46,852 790 865 716 335 367 304

2nd Quarter........................................ 106,351 59,476 46,875 782 861 715 330 364 302

3rd Quarter........................................ 106,892 59,618 47,273 798 879 722 336 370 304

4th Quarter........................................ 107,336 60,025 47,310 794 876 723 335 369 305

2015

1st Quarter........................................ 108,377 60,386 47,991 801 887 723 340 377 307

2nd Quarter........................................ 108,597 60,409 48,188 804 891 726 339 376 306

3rd Quarter........................................ 109,459 61,073 48,386 811 898 728 341 378 306

4th Quarter........................................ 109,894 61,119 48,776 820 901 728 344 378 306

2016

1st Quarter........................................ 110,322 61,629 48,693 823 904 743 346 380 312

2nd Quarter........................................ 110,996 61,837 49,159 828 913 744 346 382 311

3rd Quarter........................................ 111,725 62,179 49,546 834 919 751 347 382 312

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

2015

3rd

2016

In current dollars In constant (1982-84)

dollars

3rd

2015

3rd

2016

3rd

2015

3rd

2016

SEX AND AGE

Total, 16 years and over.............................................. 110,446 112,784 $803 $827 $337 $343

Men, 16 years and over............................................ 61,974 63,104 889 911 373 378

16 to 24 years.................................................... 5,992 6,181 517 510 217 212

25 years and over................................................ 55,982 56,924 946 971 397 403

Women, 16 years and over........................................ 48,472 49,680 721 745 303 309

16 to 24 years.................................................... 4,598 4,919 442 480 185 199

25 years and over................................................ 43,874 44,761 762 785 320 326

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 86,280 87,781 829 854 348 354

Men................................................................. 49,662 50,231 919 932 386 387

Women............................................................. 36,617 37,550 740 760 311 316

Black or African American......................................... 13,842 14,210 624 685 262 284

Men................................................................. 6,582 6,849 652 732 274 304

Women............................................................. 7,260 7,360 608 639 255 265

Asian.................................................................. 6,807 7,136 974 1,010 409 419

Men................................................................. 3,813 3,961 1,133 1,154 476 479

Women............................................................. 2,994 3,176 818 865 343 359

Hispanic or Latino ethnicity........................................ 18,606 19,278 602 632 253 262

Men................................................................. 11,367 11,892 624 667 262 277

Women............................................................. 7,238 7,385 568 593 238 246

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 2016 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..................................................... 112,784 $827 63,104 $911 49,680 $745

16 to 24 years....................................................... 11,100 497 6,181 510 4,919 480

16 to 19 years.................................................... 1,763 401 1,045 414 717 382

20 to 24 years.................................................... 9,337 510 5,135 523 4,202 494

25 years and over................................................... 101,684 886 56,924 971 44,761 785

25 to 54 years.................................................... 78,893 874 44,364 943 34,529 782

25 to 34 years.................................................. 27,787 758 15,686 804 12,101 709

35 to 44 years.................................................. 25,288 921 14,421 993 10,867 827

45 to 54 years.................................................. 25,818 955 14,257 1,060 11,561 842

55 years and over................................................ 22,791 934 12,559 1,095 10,232 793

55 to 64 years.................................................. 18,532 951 10,112 1,117 8,421 806

65 years and over............................................. 4,258 834 2,448 966 1,811 721

White

16 years and over................................................... 87,781 854 50,231 932 37,550 760

16 to 24 years.................................................... 8,643 505 4,986 517 3,657 489

25 years and over................................................ 79,138 909 45,245 992 33,893 805

25 to 54 years.................................................. 60,598 894 34,810 964 25,788 799

55 years and over............................................. 18,540 970 10,434 1,134 8,105 820

Black or African American

16 years and over................................................... 14,210 685 6,849 732 7,360 639

16 to 24 years.................................................... 1,426 418 662 448 764 400

25 years and over................................................ 12,783 724 6,187 765 6,596 682

25 to 54 years.................................................. 10,331 719 5,015 751 5,316 686

55 years and over............................................. 2,452 742 1,172 844 1,280 666

Asian

16 years and over................................................... 7,136 1,010 3,961 1,154 3,176 865

16 to 24 years.................................................... 538 580 258 591 280 554

25 years and over................................................ 6,599 1,077 3,703 1,208 2,896 924

25 to 54 years.................................................. 5,239 1,137 2,987 1,241 2,252 976

55 years and over............................................. 1,360 875 716 1,101 644 714

Hispanic or Latino ethnicity

16 years and over................................................... 19,278 632 11,892 667 7,385 593

16 to 24 years.................................................... 2,500 488 1,497 496 1,004 476

25 years and over................................................ 16,777 675 10,396 699 6,381 617

25 to 54 years.................................................. 14,354 669 8,921 697 5,433 611

55 years and over............................................. 2,423 709 1,474 716 948 696

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

2015

3rd

2016

3rd

2015

3rd

2016

TOTAL

Management, professional, and related occupations................................ 44,614 46,081 $1,165 $1,195

Management, business, and financial operations occupations................... 18,289 19,268 1,261 1,298

Professional and related occupations............................................... 26,325 26,813 1,126 1,140

Service occupations...................................................................... 15,882 16,759 504 520

Sales and office occupations............................................................ 24,027 23,839 670 699

Sales and related occupations....................................................... 9,902 9,840 732 744

Office and administrative support occupations..................................... 14,124 14,000 646 679

Natural resources, construction, and maintenance occupations.................... 11,199 11,612 734 767

Farming, fishing, and forestry occupations......................................... 937 990 464 517

Construction and extraction occupations............................................ 6,005 6,387 721 767

Installation, maintenance, and repair occupations................................. 4,256 4,235 868 850

Production, transportation, and material moving occupations....................... 14,725 14,492 666 677

Production occupations................................................................ 7,622 7,473 665 675

Transportation and material moving occupations.................................. 7,103 7,019 668 679

Men

Management, professional, and related occupations................................ 22,070 22,638 1,381 1,408

Management, business, and financial operations occupations................... 9,930 10,473 1,436 1,475

Professional and related occupations............................................... 12,140 12,165 1,345 1,352

Service occupations...................................................................... 7,685 8,264 571 592

Sales and office occupations............................................................ 9,567 9,526 771 806

Sales and related occupations....................................................... 5,548 5,479 866 903

Office and administrative support occupations..................................... 4,020 4,046 679 714

Natural resources, construction, and maintenance occupations.................... 10,755 11,085 742 775

Farming, fishing, and forestry occupations......................................... 745 789 478 558

Construction and extraction occupations............................................ 5,871 6,217 721 768

Installation, maintenance, and repair occupations................................. 4,139 4,079 864 853

Production, transportation, and material moving occupations....................... 11,897 11,592 712 722

Production occupations................................................................ 5,707 5,555 739 738

Transportation and material moving occupations.................................. 6,190 6,037 690 708

Women

Management, professional, and related occupations................................ 22,544 23,444 1,000 1,024

Management, business, and financial operations occupations................... 8,359 8,795 1,071 1,088

Professional and related occupations............................................... 14,185 14,648 970 997

Service occupations...................................................................... 8,197 8,495 465 485

Sales and office occupations............................................................ 14,459 14,314 628 648

Sales and related occupations....................................................... 4,355 4,360 599 591

Office and administrative support occupations..................................... 10,105 9,953 639 666

Natural resources, construction, and maintenance occupations.................... 444 527 588 586

Farming, fishing, and forestry occupations......................................... 192 201 445 440

Construction and extraction occupations............................................ 134 171 720 692

Installation, maintenance, and repair occupations................................. 117 155 917 723

Production, transportation, and material moving occupations....................... 2,828 2,900 518 521

Production occupations................................................................ 1,916 1,918 518 519

Transportation and material moving occupations.................................. 913 982 515 524

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 2016 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.............................................. 112,784 $395 $546 $827 $1,338 $1,985

Men................................................................... 63,104 416 593 911 1,470 2,191

Women............................................................... 49,680 375 504 745 1,152 1,760

White.................................................................. 87,781 403 565 854 1,361 2,000

Men................................................................. 50,231 424 604 932 1,494 2,202

Women............................................................. 37,550 382 515 760 1,171 1,766

Black or African American......................................... 14,210 353 473 685 989 1,554

Men................................................................. 6,849 379 495 732 1,063 1,701

Women............................................................. 7,360 339 431 639 916 1,492

Asian.................................................................. 7,136 420 609 1,010 1,702 2,419

Men................................................................. 3,961 460 687 1,154 1,894 2,880

Women............................................................. 3,176 398 554 865 1,420 1,994

Hispanic or Latino ethnicity........................................ 19,278 358 455 632 950 1,514

Men................................................................. 11,892 377 480 667 1,003 1,568

Women............................................................. 7,385 333 418 593 888 1,401

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 101,684 416 591 886 1,403 2,079

Less than a high school diploma.................................. 7,107 326 396 504 697 947

High school graduates, no college1

............................... 25,518 383 502 700 998 1,440

Some college or associate degree................................ 27,688 412 555 779 1,147 1,653

Bachelor’s degree and higher2.................................... 41,371 609 852 1,266 1,893 2,719

Bachelor’s degree only.......................................... 25,471 580 785 1,152 1,764 2,488

Advanced degree................................................. 15,901 725 985 1,447 2,094 3,079

Men, 25 years and over............................................ 56,924 454 634 971 1,544 2,287

Less than a high school diploma............................... 4,868 354 420 550 753 1,015

High school graduates, no college1

............................ 15,594 412 558 785 1,122 1,573

Some college or associate degree............................. 14,706 454 617 895 1,279 1,832

Bachelor’s degree and higher2

................................. 21,756 679 952 1,461 2,111 3,094

Bachelor’s degree only........................................ 13,594 636 885 1,357 1,917 2,886

Advanced degree.............................................. 8,162 773 1,103 1,693 2,405 3,722

Women, 25 years and over........................................ 44,761 391 535 785 1,212 1,847

Less than a high school diploma............................... 2,239 296 355 426 569 716

High school graduates, no college1

............................ 9,924 344 441 600 808 1,127

Some college or associate degree............................. 12,982 389 503 694 967 1,403

Bachelor’s degree and higher2................................. 19,616 575 771 1,099 1,616 2,253

Bachelor’s degree only........................................ 11,877 525 708 977 1,477 2,091

Advanced degree.............................................. 7,739 661 904 1,274 1,798 2,416

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

2015

3rd

2016

3rd

2015

3rd

2016

SEX AND AGE

Total, 16 years and over................................................................. 23,619 23,973 $248 $255

Men, 16 years and over............................................................... 8,135 8,300 237 245

16 to 24 years........................................................................ 3,719 3,666 197 201

25 years and over................................................................... 4,417 4,634 287 292

Women, 16 years and over........................................................... 15,483 15,673 254 260

16 to 24 years........................................................................ 4,660 4,400 197 202

25 years and over................................................................... 10,823 11,273 290 294

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 18,754 18,681 252 258

Men.................................................................................... 6,375 6,257 242 246

Women................................................................................ 12,379 12,424 258 264

Black or African American............................................................ 2,862 2,947 226 238

Men.................................................................................... 1,082 1,115 210 235

Women................................................................................ 1,779 1,833 237 240

Asian..................................................................................... 1,211 1,379 264 265

Men.................................................................................... 394 537 260 264

Women................................................................................ 817 842 266 266

Hispanic or Latino ethnicity........................................................... 3,946 3,998 249 246

Men.................................................................................... 1,478 1,366 254 246

Women................................................................................ 2,467 2,631 246 247

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.