For release 10:00 a.m. (EDT) Friday, November 1, 2013 USDL-13-2078 

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 2013

Median weekly earnings of the nation's 105.5 million full-time wage and salary workers were $771 in 

the third quarter of 2013 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 1.7 percent higher than a year earlier, compared with a gain of 1.6 percent in the Consumer 

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

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

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

and salary worker usually earns. (See the Technical Note.) Data shown in this release are not seasonally 

adjusted unless otherwise specified. Highlights from the third-quarter data are: 

 Seasonally adjusted median weekly earnings were $777 in the third quarter of 2013, little 

changed from the previous quarter ($775). (See table 1.) 

 On a not seasonally adjusted basis, median weekly earnings were $771 in the third quarter of 

2013. Women who usually worked full time had median weekly earnings of $698, or 82.4 

percent of the $847 median for men. (See table 2.) 

 The women’s-to-men’s earnings ratio varied by race and ethnicity. White women earned 82.8 

percent as much as their male counterparts, compared with black (87.1 percent), Asian (77.4 

percent), and Hispanic women (90.8 percent). (See table 2.) 

 Among the major race and ethnicity groups, median weekly earnings for black men working at 

full-time jobs were $682 per week, or 78.6 percent of the median for white men ($868). The 

difference was less among women, as black women's median earnings ($594) were 82.6 percent 

of those for white women ($719). Overall, median earnings of Hispanics who worked full time 

($587) were lower than those of blacks ($630), whites ($794), and Asians ($922). (See table 2.) 

 Usual weekly earnings of full-time workers varied by age. Among men, those age 45 to 54 and 

55 to 64 had the highest median weekly earnings, $970 and $1,001, respectively. Usual weekly 

earnings were highest for women age 35 to 64; weekly earnings were $775 for women age 35 to 

44, $755 for women age 45 to 54, and $769 for women age 55 to 64. Workers age 16 to 24 had 

the lowest median weekly earnings, at $430. (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—$1,338 for 

men and $962 for women. Men and women employed in service jobs earned the least, $562 

and $447, respectively. (See table 4.) 

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

had median weekly earnings of $479, compared with $659 for high school graduates (no 

college) and $1,174 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 $3,436 or more per week, compared with $2,302 or more for their female 

counterparts. (See table 5.) 

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

The Usual Weekly Earnings news release for the fourth quarter of 2013 will incorporate annual 

revisions to seasonally adjusted data for 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 2009 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-quarter of the CPS monthly sample and 

are limited to wage and salary workers (both incorporated 

and unincorporated self-employed are excluded). The data, 

therefore, exclude self-employment income. 

Information in this release will be made available to 

sensory impaired individuals upon request. Voice phone: 

(202) 691-5200; Federal Relay Service: (800) 877-8339. 

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 exact difference, or sampling 

error, varies depending on the particular sample selected, 

and this 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 errors 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 on a timely basis, mistakes made by respondents, and errors made in the collection or processing of the 

data. 

A full discussion of the reliability of data from the 

Current Population Survey and information on estimating 

standard errors is available on the BLS website at 

www.bls.gov/cps/documentation.htm#reliability. 

Definitions 

The principal definitions used in connection with the 

earnings series 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, 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 as 

perceived by the respondent. 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 amount 

that divides a given earnings distribution into two equal 

groups, one having earnings above the median and the other 

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 estimation procedure places each reported or 

calculated weekly earnings value into $50-wide intervals 

that are centered around multiples of $50. The actual value 

is estimated through the linear interpolation of the interval 

in which the quantile boundary lies. 

Over-the-year changes 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: (1) There could be a change 

in the relative weights of the subgroups. For example, the 

medians of both 16- to 24-year-olds and those 25 years and 

over may rise; but if the lower-earning 16- to 24-year-olds 

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 could 

be caused by survey observations that are clustered at 
rounded values, such as $250, $300, or $400. 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. 

Wage and salary workers. 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, excludes all self-employed persons, regardless of whether or not their businesses are incorporated. 

Full-time workers. Workers who usually work 35 

hours or more per week at their sole or principal job. 

Part-time workers. Workers who usually work fewer 

than 35 hours per week at their sole or principal job. 

Constant dollars. The Consumer Price Index for All 

Urban Consumers (CPI-U) is used to convert current dollars 

to constant (1982-84) dollars. 

Hispanic or Latino ethnicity. Refers to persons who 

identified themselves in the enumeration process as being 

of Hispanic, Latino, or Spanish origin. Persons whose 

ethnicity is identified as Hispanic or Latino may be of 

any race. 

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-toquarter 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

$

2004

3rd Quarter.......................................... 101,148 56,931 44,217 635 712 574 335 376 303

4th Quarter.......................................... 101,658 57,289 44,369 646 720 577 337 376 302

2005

1st Quarter.......................................... 102,091 57,710 44,381 647 723 580 336 376 302

2nd Quarter......................................... 103,201 58,099 45,101 647 714 584 334 369 301

3rd Quarter.......................................... 104,310 58,843 45,467 651 723 588 331 368 299

4th Quarter.......................................... 104,605 58,967 45,638 658 730 588 332 368 296

2006

1st Quarter.......................................... 104,708 58,960 45,748 662 737 594 332 370 298

2nd Quarter......................................... 105,798 59,831 45,966 663 732 597 329 364 296

3rd Quarter.......................................... 107,041 60,060 46,981 678 755 603 334 372 297

4th Quarter.......................................... 106,847 60,140 46,707 681 748 607 337 370 300

2007

1st Quarter.......................................... 107,176 60,105 47,070 687 752 610 336 368 298

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.......................................... 101,680 56,299 45,381 732 815 645 344 384 304

2nd Quarter......................................... 99,990 55,233 44,757 736 818 652 345 383 306

3rd Quarter.......................................... 99,049 54,481 44,567 742 820 664 345 381 308

4th Quarter.......................................... 98,569 54,412 44,156 747 823 666 344 379 307

2010

1st Quarter.......................................... 98,149 54,102 44,048 748 836 662 344 385 304

2nd Quarter......................................... 99,598 55,038 44,559 742 813 671 342 374 309

3rd Quarter.......................................... 100,410 55,618 44,792 746 822 670 342 377 307

4th Quarter.......................................... 99,960 55,469 44,491 750 826 676 342 376 308

2011

1st Quarter.......................................... 99,690 55,338 44,353 750 821 679 338 370 306

2nd Quarter......................................... 100,343 55,848 44,495 754 828 688 336 369 306

3rd Quarter.......................................... 100,487 56,053 44,434 759 837 681 336 370 301

4th Quarter.......................................... 101,316 56,643 44,674 761 838 686 335 369 302

2012

1st Quarter.......................................... 102,194 57,113 45,081 764 842 693 335 369 304

2nd Quarter......................................... 102,491 57,102 45,389 772 867 688 337 379 301

3rd Quarter.......................................... 102,637 57,236 45,401 765 838 693 333 364 301

4th Quarter.......................................... 103,681 57,701 45,980 772 868 690 334 376 298

2013

1st Quarter.......................................... 103,972 57,914 46,058 769 862 699 331 371 301

2nd Quarter......................................... 103,946 57,964 45,983 775 863 705 334 372 304

3rd Quarter.......................................... 104,492 58,143 46,350 777 860 706 333 368 302

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

2012

3rd

2013

In current dollars In constant (1982-84)

dollars

3rd

2012

3rd

2013

3rd

2012

3rd

2013

SEX AND AGE

Total, 16 years and over............................................... 103,577 105,459 $ 758 $ 771 $329 $330

Men, 16 years and over............................................. 58,069 58,990 828 847 359 362

16 to 24 years...................................................... 5,576 5,733 459 452 199 193

25 years and over................................................. 52,493 53,257 891 904 387 387

Women, 16 years and over......................................... 45,508 46,469 685 698 298 299

16 to 24 years...................................................... 4,036 4,324 414 414 180 177

25 years and over................................................. 41,472 42,146 725 737 315 315

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White................................................................... 82,259 83,689 780 794 339 340

Men.................................................................. 47,292 47,897 854 868 371 371

Women.............................................................. 34,967 35,791 712 719 309 307

Black or African American........................................... 12,340 12,571 606 630 263 270

Men.................................................................. 5,771 5,898 633 682 275 292

Women.............................................................. 6,569 6,672 590 594 256 254

Asian................................................................... 5,986 6,141 915 922 397 394

Men.................................................................. 3,338 3,473 1,043 1,027 453 439

Women.............................................................. 2,649 2,668 762 795 331 340

Hispanic or Latino ethnicity......................................... 16,889 17,480 556 587 241 251

Men.................................................................. 10,110 10,593 586 609 255 260

Women.............................................................. 6,779 6,887 513 553 223 236

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 2013 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....................................................... 105,459 $771 58,990 $ 847 46,469 $698

16 to 24 years........................................................ 10,056 430 5,733 452 4,324 414

16 to 19 years...................................................... 1,422 369 824 381 598 352

20 to 24 years...................................................... 8,634 454 4,909 476 3,726 425

25 years and over.................................................... 95,403 820 53,257 904 42,146 737

25 to 54 years...................................................... 74,859 807 42,089 885 32,770 729

25 to 34 years................................................... 25,164 710 14,284 756 10,879 651

35 to 44 years................................................... 24,527 870 13,948 947 10,579 775

45 to 54 years................................................... 25,169 870 13,857 970 11,311 755

55 years and over................................................. 20,544 879 11,168 984 9,376 765

55 to 64 years................................................... 17,030 893 9,208 1,001 7,822 769

65 years and over............................................... 3,514 804 1,960 907 1,554 736

White

16 years and over.................................................... 83,689 794 47,897 868 35,791 719

16 to 24 years...................................................... 7,989 447 4,689 475 3,300 417

25 years and over................................................. 75,700 845 43,208 925 32,492 755

25 to 54 years................................................... 58,643 829 33,724 905 24,920 746

55 years and over............................................... 17,056 903 9,484 1,012 7,572 785

Black or African American

16 years and over.................................................... 12,571 630 5,898 682 6,672 594

16 to 24 years...................................................... 1,277 382 623 378 654 388

25 years and over................................................. 11,294 664 5,275 719 6,019 618

25 to 54 years................................................... 9,191 654 4,345 704 4,846 616

55 years and over............................................... 2,103 728 931 819 1,173 635

Asian

16 years and over.................................................... 6,141 922 3,473 1,027 2,668 795

16 to 24 years...................................................... 370 467 208 413 162 574

25 years and over................................................. 5,771 953 3,265 1,083 2,506 827

25 to 54 years................................................... 4,708 980 2,675 1,136 2,032 853

55 years and over............................................... 1,064 797 590 852 474 686

Hispanic or Latino ethnicity

16 years and over.................................................... 17,480 587 10,593 609 6,887 553

16 to 24 years...................................................... 2,257 416 1,381 421 876 410

25 years and over................................................. 15,223 618 9,211 658 6,012 585

25 to 54 years................................................... 13,230 615 8,047 656 5,183 584

55 years and over............................................... 1,993 639 1,164 676 828 604

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

2012

3rd

2013

3rd

2012

3rd

2013

TOTAL

Management, professional, and related occupations................................. 41,105 41,679 $1,098 $1,116

Management, business, and financial operations occupations.................... 17,266 17,082 1,159 1,179

Professional and related occupations................................................ 23,839 24,597 1,056 1,056

Service occupations....................................................................... 15,540 15,419 487 490

Sales and office occupations............................................................. 22,726 23,379 645 655

Sales and related occupations........................................................ 9,251 9,708 667 710

Office and administrative support occupations...................................... 13,475 13,671 637 629

Natural resources, construction, and maintenance occupations..................... 10,135 10,886 728 744

Farming, fishing, and forestry occupations.......................................... 943 856 417 462

Construction and extraction occupations............................................. 5,090 5,762 723 725

Installation, maintenance, and repair occupations.................................. 4,102 4,269 811 828

Production, transportation, and material moving occupations....................... 14,072 14,096 615 633

Production occupations................................................................. 7,310 7,215 621 623

Transportation and material moving occupations................................... 6,762 6,881 608 647

Men

Management, professional, and related occupations................................. 20,168 20,372 1,300 1,338

Management, business, and financial operations occupations.................... 9,142 9,215 1,368 1,417

Professional and related occupations................................................ 11,026 11,158 1,259 1,268

Service occupations....................................................................... 7,980 7,730 530 562

Sales and office occupations............................................................. 8,889 9,185 751 744

Sales and related occupations........................................................ 5,253 5,565 825 805

Office and administrative support occupations...................................... 3,636 3,620 685 636

Natural resources, construction, and maintenance occupations..................... 9,720 10,442 737 756

Farming, fishing, and forestry occupations.......................................... 748 712 439 482

Construction and extraction occupations............................................. 4,998 5,608 723 733

Installation, maintenance, and repair occupations.................................. 3,973 4,122 812 832

Production, transportation, and material moving occupations....................... 11,312 11,260 657 685

Production occupations................................................................. 5,422 5,265 680 692

Transportation and material moving occupations................................... 5,890 5,994 626 680

Women

Management, professional, and related occupations................................. 20,937 21,306 948 962

Management, business, and financial operations occupations.................... 8,124 7,867 983 1,034

Professional and related occupations................................................ 12,813 13,439 928 941

Service occupations....................................................................... 7,560 7,689 440 447

Sales and office occupations............................................................. 13,836 14,194 607 615

Sales and related occupations........................................................ 3,998 4,143 543 558

Office and administrative support occupations...................................... 9,838 10,051 624 627

Natural resources, construction, and maintenance occupations..................... 415 444 501 551

Farming, fishing, and forestry occupations.......................................... 195 144 369 396

Construction and extraction occupations............................................. 92 153 724 585

Installation, maintenance, and repair occupations.................................. 129 147 760 680

Production, transportation, and material moving occupations....................... 2,759 2,836 494 492

Production occupations................................................................. 1,888 1,950 502 493

Transportation and material moving occupations................................... 872 886 479 490

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 2013 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............................................... 105,459 $370 $ 509 $ 771 $1,221 $1,886

Men..................................................................... 58,990 385 546 847 1,361 2,082

Women................................................................. 46,469 350 481 698 1,068 1,574

White................................................................... 83,689 379 521 794 1,244 1,899

Men.................................................................. 47,897 391 565 868 1,384 2,100

Women.............................................................. 35,791 360 493 719 1,086 1,604

Black or African American........................................... 12,571 322 427 630 962 1,475

Men.................................................................. 5,898 337 470 682 1,022 1,574

Women.............................................................. 6,672 313 410 594 905 1,340

Asian................................................................... 6,141 388 569 922 1,484 2,192

Men.................................................................. 3,473 400 609 1,027 1,729 2,493

Women.............................................................. 2,668 373 514 795 1,270 1,764

Hispanic or Latino ethnicity......................................... 17,480 317 404 587 869 1,330

Men.................................................................. 10,593 328 413 609 917 1,398

Women.............................................................. 6,887 305 389 553 798 1,165

EDUCATIONAL ATTAINMENT

Total, 25 years and over............................................... 95,403 393 551 820 1,277 1,914

Less than a high school diploma................................... 7,166 296 363 479 655 903

High school graduates, no college1

............................... 25,392 360 477 659 933 1,339

Some college or associate degree................................. 25,867 399 531 747 1,091 1,517

Bachelor’s degree and higher2.................................... 36,977 581 803 1,174 1,781 2,584

Bachelor’s degree only............................................ 23,815 530 746 1,101 1,646 2,320

Advanced degree.................................................. 13,162 682 947 1,365 1,984 2,920

Men, 25 years and over............................................. 53,257 411 598 904 1,430 2,164

Less than a high school diploma................................ 5,053 313 388 509 705 982

High school graduates, no college1

............................ 15,248 384 514 742 1,041 1,484

Some college or associate degree.............................. 13,642 430 597 846 1,221 1,719

Bachelor’s degree and higher2

.................................. 19,313 639 924 1,378 2,012 2,979

Bachelor’s degree only......................................... 12,612 601 846 1,267 1,891 2,816

Advanced degree............................................... 6,701 752 1,062 1,645 2,376 3,436

Women, 25 years and over......................................... 42,146 374 508 737 1,116 1,638

Less than a high school diploma................................ 2,113 277 319 404 540 721

High school graduates, no college1

............................ 10,144 329 426 569 763 1,053

Some college or associate degree.............................. 12,225 377 492 654 910 1,251

Bachelor’s degree and higher2.................................. 17,664 518 727 1,031 1,492 2,095

Bachelor’s degree only......................................... 11,202 485 672 941 1,396 1,921

Advanced degree............................................... 6,462 628 860 1,172 1,641 2,302

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

2012

3rd

2013

3rd

2012

3rd

2013

SEX AND AGE

Total, 16 years and over.................................................................. 24,086 24,064 $240 $241

Men, 16 years and over................................................................ 8,319 8,391 238 234

16 to 24 years........................................................................ 3,589 3,634 196 193

25 years and over.................................................................... 4,730 4,758 278 278

Women, 16 years and over............................................................ 15,767 15,673 241 245

16 to 24 years........................................................................ 4,727 4,642 180 187

25 years and over.................................................................... 11,039 11,031 283 280

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White...................................................................................... 19,577 19,288 243 243

Men..................................................................................... 6,652 6,578 239 235

Women................................................................................. 12,925 12,710 246 247

Black or African American............................................................. 2,530 2,668 226 231

Men..................................................................................... 945 1,074 235 229

Women................................................................................. 1,585 1,594 220 233

Asian...................................................................................... 1,145 1,236 251 246

Men..................................................................................... 403 408 239 225

Women................................................................................. 742 828 255 258

Hispanic or Latino ethnicity............................................................ 3,583 3,597 230 228

Men..................................................................................... 1,446 1,463 245 238

Women................................................................................. 2,137 2,134 218 222

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.