For release 10:00 a.m. (EDT) Tuesday, July 19, 2016 USDL-16-1492 

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

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

(NOTE: This news release was reissued on October 20, 2016, due to the correction of May 2016 

through August 2016 CPI data. The estimate in table 1 for seasonally adjusted median weekly 

earnings for men in constant (1982-84) dollars for the second quarter of 2016 was revised. No 

other median weekly earnings data changed.)

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

SECOND QUARTER 2016

Median weekly earnings of the nation's 111.2 million full-time wage and salary workers were $824 in 

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

This was 2.9 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 second-quarter data 

are:

• Median weekly earnings of full-time workers were $824 in the second quarter of 2016. 

Women had median weekly earnings of $744, or 81.8 percent of the $909 median for men. 

(See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 80.7 

percent as much as their male counterparts, compared with Black women (91.8 percent), Asian 

women (79.1 percent), and Hispanic women (89.1 percent). (See table 2.)

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

at full-time jobs were $704, or 74.8 percent of the median for White men ($941). The 

difference was less among women, as Black women's median earnings ($646) were 85.1 

percent of those for White women ($759). Overall, median earnings of Hispanics who worked 

full time ($618) were lower than those of Blacks ($677), Whites ($854), and Asians ($1,021). 

(See table 2.)

• By age, median weekly earnings were not much different for men ages 35 to 44 ($1,024), 45 

to 54 ($1,063), 55 to 64 ($1,054), and 65 and over ($1,032) in the second quarter of 2016. For 
-2- 

women, usual weekly earnings were highest for those ages 35 to 44 ($845) and 45 to 54 

($829). Workers age 16 to 24 had the lowest median weekly earnings, at $492. (See table 3.) 

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

professional, and related occupations had the highest median weekly earnings—$1,405 for men 

and $1,019 for women. Men and women employed in service jobs earned the least, $564 and 

$480, respectively. (See table 4.) 

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

had median weekly earnings of $499, compared with $690 for high school graduates (no 

college) and $1,249 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 $3,517 or more per week, compared with $2,593 or more for 

their female counterparts. (See table 5.)

• Seasonally adjusted median weekly earnings were $828 in the second quarter of 2016, 

essentially unchanged from the previous quarter ($823). (See table 1.) 
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

2nd Quarter........................................ 106,827 60,351 46,476 693 765 610 335 370 295

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

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

2nd

2015

2nd

2016

In current dollars In constant (1982-84)

dollars

2nd

2015

2nd

2016

2nd

2015

2nd

2016

SEX AND AGE

Total, 16 years and over.............................................. 108,769 111,166 $801 $824 $337 $343

Men, 16 years and over............................................ 60,638 62,045 886 909 373 378

16 to 24 years.................................................... 5,335 5,724 497 505 209 210

25 years and over................................................ 55,303 56,320 942 967 396 403

Women, 16 years and over........................................ 48,131 49,121 726 744 305 310

16 to 24 years.................................................... 4,313 4,415 444 470 187 196

25 years and over................................................ 43,818 44,706 759 777 319 324

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 85,383 86,638 829 854 349 356

Men................................................................. 48,785 49,241 914 941 385 392

Women............................................................. 36,598 37,397 742 759 312 316

Black or African American......................................... 13,566 13,954 647 677 272 282

Men................................................................. 6,442 6,838 696 704 293 293

Women............................................................. 7,124 7,116 615 646 259 269

Asian.................................................................. 6,608 7,085 965 1,021 406 425

Men................................................................. 3,612 3,963 1,085 1,147 457 478

Women............................................................. 2,996 3,122 836 907 352 378

Hispanic or Latino ethnicity........................................ 18,240 18,956 601 618 253 257

Men................................................................. 11,102 11,718 619 652 260 272

Women............................................................. 7,138 7,238 572 581 241 242

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, 2nd 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..................................................... 111,166 $824 62,045 $909 49,121 $744

16 to 24 years....................................................... 10,140 492 5,724 505 4,415 470

16 to 19 years.................................................... 1,298 404 730 422 568 390

20 to 24 years.................................................... 8,842 505 4,995 516 3,847 489

25 years and over................................................... 101,026 880 56,320 967 44,706 777

25 to 54 years.................................................... 78,468 865 44,133 944 34,336 774

25 to 34 years.................................................. 27,500 753 15,589 791 11,911 710

35 to 44 years.................................................. 25,270 943 14,406 1,024 10,863 845

45 to 54 years.................................................. 25,699 948 14,137 1,063 11,562 829

55 years and over................................................ 22,558 928 12,188 1,049 10,370 785

55 to 64 years.................................................. 18,532 935 9,877 1,054 8,655 795

65 years and over............................................. 4,026 898 2,311 1,032 1,715 736

White

16 years and over................................................... 86,638 854 49,241 941 37,397 759

16 to 24 years.................................................... 7,961 500 4,612 510 3,349 483

25 years and over................................................ 78,677 907 44,629 997 34,049 797

25 to 54 years.................................................. 60,196 893 34,539 971 25,657 799

55 years and over............................................. 18,481 959 10,090 1,114 8,392 791

Black or African American

16 years and over................................................... 13,954 677 6,838 704 7,116 646

16 to 24 years.................................................... 1,239 423 626 462 612 408

25 years and over................................................ 12,716 708 6,212 731 6,504 684

25 to 54 years.................................................. 10,302 698 5,058 718 5,244 675

55 years and over............................................. 2,413 771 1,154 819 1,260 739

Asian

16 years and over................................................... 7,085 1,021 3,963 1,147 3,122 907

16 to 24 years.................................................... 392 519 212 520 180 515

25 years and over................................................ 6,693 1,063 3,751 1,190 2,942 945

25 to 54 years.................................................. 5,436 1,114 3,029 1,249 2,407 982

55 years and over............................................. 1,257 885 722 943 535 833

Hispanic or Latino ethnicity

16 years and over................................................... 18,956 618 11,718 652 7,238 581

16 to 24 years.................................................... 2,455 476 1,510 481 945 461

25 years and over................................................ 16,501 658 10,208 692 6,294 605

25 to 54 years.................................................. 14,173 650 8,821 683 5,351 602

55 years and over............................................. 2,329 705 1,386 767 942 624

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

2nd

2015

2nd

2016

2nd

2015

2nd

2016

TOTAL

Management, professional, and related occupations................................ 44,819 46,153 $1,147 $1,174

Management, business, and financial operations occupations................... 18,400 19,031 1,243 1,260

Professional and related occupations............................................... 26,420 27,122 1,097 1,138

Service occupations...................................................................... 15,313 15,275 506 512

Sales and office occupations............................................................ 23,601 23,712 668 688

Sales and related occupations....................................................... 9,724 9,872 688 730

Office and administrative support occupations..................................... 13,876 13,840 661 673

Natural resources, construction, and maintenance occupations.................... 10,604 10,935 750 771

Farming, fishing, and forestry occupations......................................... 778 898 440 543

Construction and extraction occupations............................................ 5,664 5,935 741 784

Installation, maintenance, and repair occupations................................. 4,162 4,102 835 819

Production, transportation, and material moving occupations....................... 14,431 15,092 653 663

Production occupations................................................................ 7,525 8,105 666 662

Transportation and material moving occupations.................................. 6,906 6,986 634 664

Men

Management, professional, and related occupations................................ 21,899 22,304 1,357 1,405

Management, business, and financial operations occupations................... 10,126 10,191 1,401 1,441

Professional and related occupations............................................... 11,773 12,114 1,319 1,377

Service occupations...................................................................... 7,732 7,703 587 564

Sales and office occupations............................................................ 9,395 9,535 765 775

Sales and related occupations....................................................... 5,373 5,446 864 882

Office and administrative support occupations..................................... 4,023 4,088 683 695

Natural resources, construction, and maintenance occupations.................... 10,194 10,491 761 778

Farming, fishing, and forestry occupations......................................... 607 699 448 570

Construction and extraction occupations............................................ 5,531 5,818 742 786

Installation, maintenance, and repair occupations................................. 4,056 3,973 838 818

Production, transportation, and material moving occupations....................... 11,418 12,012 702 708

Production occupations................................................................ 5,508 5,983 734 722

Transportation and material moving occupations.................................. 5,909 6,028 663 694

Women

Management, professional, and related occupations................................ 22,920 23,848 987 1,019

Management, business, and financial operations occupations................... 8,274 8,840 1,064 1,073

Professional and related occupations............................................... 14,647 15,009 953 994

Service occupations...................................................................... 7,582 7,572 457 480

Sales and office occupations............................................................ 14,205 14,177 632 645

Sales and related occupations....................................................... 4,352 4,426 556 580

Office and administrative support occupations..................................... 9,853 9,751 655 666

Natural resources, construction, and maintenance occupations.................... 410 444 507 552

Farming, fishing, and forestry occupations......................................... 172 199 427 459

Construction and extraction occupations............................................ 133 117 700 685

Installation, maintenance, and repair occupations................................. 106 128 603 848

Production, transportation, and material moving occupations....................... 3,013 3,080 524 532

Production occupations................................................................ 2,017 2,122 524 535

Transportation and material moving occupations.................................. 996 958 524 528

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, 2nd 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.............................................. 111,166 $395 $545 $824 $1,313 $1,997

Men................................................................... 62,045 413 587 909 1,454 2,281

Women............................................................... 49,121 379 505 744 1,144 1,738

White.................................................................. 86,638 402 565 854 1,343 2,024

Men................................................................. 49,241 420 601 941 1,484 2,289

Women............................................................. 37,397 385 517 759 1,157 1,752

Black or African American......................................... 13,954 368 473 677 1,010 1,546

Men................................................................. 6,838 383 494 704 1,095 1,713

Women............................................................. 7,116 352 446 646 954 1,454

Asian.................................................................. 7,085 415 614 1,021 1,723 2,507

Men................................................................. 3,963 478 682 1,147 1,893 2,881

Women............................................................. 3,122 387 554 907 1,451 2,089

Hispanic or Latino ethnicity........................................ 18,956 352 436 618 940 1,426

Men................................................................. 11,718 371 470 652 1,000 1,519

Women............................................................. 7,238 332 411 581 856 1,316

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 101,026 414 586 880 1,374 2,089

Less than a high school diploma.................................. 7,290 312 390 499 675 958

High school graduates, no college1

............................... 25,656 385 499 690 993 1,414

Some college or associate degree................................ 26,828 410 555 767 1,136 1,563

Bachelor’s degree and higher2.................................... 41,253 606 853 1,249 1,889 2,887

Bachelor’s degree only.......................................... 25,539 578 779 1,155 1,752 2,612

Advanced degree................................................. 15,714 701 975 1,425 2,105 3,105

Men, 25 years and over............................................ 56,320 446 623 967 1,523 2,316

Less than a high school diploma............................... 4,979 338 406 529 733 1,024

High school graduates, no college1

............................ 15,903 411 549 762 1,122 1,570

Some college or associate degree............................. 14,052 467 623 890 1,269 1,784

Bachelor’s degree and higher2

................................. 21,386 658 968 1,431 2,179 3,229

Bachelor’s degree only........................................ 13,603 619 900 1,328 1,966 2,975

Advanced degree.............................................. 7,784 757 1,127 1,621 2,422 3,517

Women, 25 years and over........................................ 44,706 393 532 777 1,179 1,794

Less than a high school diploma............................... 2,311 288 350 421 562 719

High school graduates, no college1

............................ 9,752 353 440 596 806 1,089

Some college or associate degree............................. 12,776 383 496 673 938 1,306

Bachelor’s degree and higher2................................. 19,867 577 769 1,086 1,577 2,294

Bachelor’s degree only........................................ 11,936 523 715 997 1,468 2,071

Advanced degree.............................................. 7,930 663 898 1,245 1,827 2,593

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

2nd

2015

2nd

2016

2nd

2015

2nd

2016

SEX AND AGE

Total, 16 years and over................................................................. 24,825 24,808 $244 $250

Men, 16 years and over............................................................... 8,564 8,645 231 245

16 to 24 years........................................................................ 3,933 3,739 188 192

25 years and over................................................................... 4,630 4,906 291 292

Women, 16 years and over........................................................... 16,261 16,163 250 253

16 to 24 years........................................................................ 4,771 4,745 192 190

25 years and over................................................................... 11,491 11,419 281 288

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 19,513 19,578 247 252

Men.................................................................................... 6,601 6,893 232 245

Women................................................................................ 12,912 12,685 254 256

Black or African American............................................................ 3,013 2,999 226 237

Men.................................................................................... 1,153 1,045 219 237

Women................................................................................ 1,860 1,954 230 237

Asian..................................................................................... 1,275 1,280 250 267

Men.................................................................................... 455 415 243 252

Women................................................................................ 820 865 253 280

Hispanic or Latino ethnicity........................................................... 4,097 3,987 232 241

Men.................................................................................... 1,472 1,452 241 246

Women................................................................................ 2,625 2,535 227 238

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.