For release 10:00 a.m. (EDT) Thursday, April 17, 2014 USDL-14-0605 

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

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

USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS

FIRST QUARTER 2014 

Median weekly earnings of the nation's 104.3 million full-time wage and salary workers were $796 in 

the first quarter of 2014 (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 1.4 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 first-quarter data are: 

 Median weekly earnings were $796 in the first quarter of 2014. Women who usually worked 

full time had median weekly earnings of $722, or 82.8 percent of the $872 median for men. (See 

table 2.) 

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

82.4 percent as much as their male counterparts, compared with black women (85.6 percent), 

Asian women (83.8 percent), and Hispanic women (92.6 percent). (See table 2.) 

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

at full-time jobs were $708 per week, or 78.8 percent of the median for white men ($898). The 

difference was less among women, as black women's median earnings ($606) were 81.9 percent 

of those for white women ($740). Overall, median earnings of Hispanics who worked full time 

($593) were lower than those of blacks ($646), whites ($819), and Asians ($955). (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, $1,021 and $992, respectively. Usual weekly 

earnings were highest for women age 35 to 64: weekly earnings were $787 for women age 35 to 

44 and for women age 45 to 54, and $776 for women age 55 to 64. Workers age 16 to 24 had the 

lowest median weekly earnings, at $465. (See table 3.) 

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

professional, and related occupations had the highest median weekly earnings—$1,347 for 
- 2 - 

men and $975 for women. Men and women employed in service jobs earned the least, $581 

and $459, respectively. (See table 4.) 

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

had median weekly earnings of $480, compared with $660 for high school graduates 

(no college) and $1,199 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 $3,834 or more per week, compared with $2,390 

or more for their female counterparts. (See table 5.) 

 Seasonally adjusted median weekly earnings were $791 in the first quarter of 2014, little 

changed from the previous quarter ($782). (See table 1.) 

Revision of Seasonally Adjusted Usual Weekly Earnings Data 

Seasonally adjusted data for median usual weekly earnings in constant (1982-84) dollars have 

been updated using revised seasonally adjusted data for the Consumer Price Index for All 

Urban Consumers (CPI-U). (Data are shown in table 1 of the release.) Seasonally adjusted 

constant (1982-84) dollar estimates back to the first quarter of 2009 were subject to revision. 
Technical Note 

The estimates in this release were obtained from the 

Current Population Survey (CPS), which provides basic 

information on the labor force, employment, and 

unemployment. The survey is conducted monthly for the 

Bureau of Labor Statistics (BLS) by the U.S. Census Bureau 

using a scientifically selected national sample of about 

60,000 eligible households, with coverage in all 50 states and 

the District of Columbia. The earnings data are collected 

from one-fourth of the CPS monthly sample and are limited 

to wage and salary workers. All self-employed workers, both 

incorporated and unincorporated, are excluded from CPS 

earnings estimates. 

Material in this news release is in the public domain and 

may be used without permission. This information is 

available to sensory impaired individuals upon request. 

Voice telephone: (202) 691-5200; Federal Relay Service: 

(800) 877-8339. 

Definitions 

The principal definitions used in connection with the 

earnings data in this news release are described briefly 

below. 

Usual weekly earnings. Data represent earnings before 

taxes and other deductions and include any overtime pay, 

commissions, or tips usually received (at the main job in the 

case of multiple jobholders). Prior to 1994, respondents were 

asked how much they usually earned per week. Since 

January 1994, respondents have been asked to identify the 

easiest way for them to report earnings (hourly, weekly, 

biweekly, twice monthly, monthly, annually, or other) and 

how much they usually earn in the reported time period.

Earnings reported on a basis other than weekly are 

converted to a weekly equivalent. The term "usual" is 

determined by each respondent’s own understanding of the 

term. If the respondent asks for a definition of "usual," 

interviewers are instructed to define the term as more than 

half the weeks worked during the past 4 or 5 months. 

Medians (and other quantiles) of weekly earnings. The 

median (or upper limit of the second quartile) is the midpoint 

in a given earnings distribution, with half of workers having 

earnings above the median and the other half having earnings 

below the median. Ten percent of a given distribution have 

earnings below the upper limit of the first decile (90 percent 

have higher earnings), 25 percent have earnings below the 

upper limit of the first quartile (75 percent have higher 

earnings), 75 percent have earnings below the upper limit of 

the third quartile (25 percent have higher earnings), and 90 

percent have earnings below the upper limit of the ninth 

decile (10 percent have higher earnings). 

The BLS procedure for estimating the median of an 

earnings distribution places each reported or calculated 

weekly earnings value into a $50-wide interval that is 

centered around a multiple of $50. The median is calculated 

through the linear interpolation of the interval in which the 

median lies. 

Changes over time in the medians (and other quantile 

boundaries) for specific groups may not necessarily be 

consistent with the movements estimated for the overall 

quantile boundary. The most common reasons for this 

possible anomaly are as follows: (1) there could be a change 

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

median of 16- to 24-year-olds and the median earnings of 

those 25 years and over may rise, but if the lower earning 16-

to-24 age group accounts for a greatly increased share of the 

total, the overall median could actually fall. (2) there could 

be a large change in the shape of the distribution of reported 

earnings, particularly near a quantile boundary. This change 

could be caused by survey observations that are clustered at 

rounded values, such as $400 or $500. An estimate lying in 

a $50-wide centered interval containing such a cluster or 

′′spike′′ tends to change more slowly than one in other 

intervals. 

Constant dollars. The Consumer Price Index for All 

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

to constant (1982-84) dollars. 

Wage and salary workers. These are workers who 

receive wages, salaries, commissions, tips, payment in kind, 

or piece rates. The group includes employees in both the 

private and public sectors but, for the purposes of the 

earnings series, it excludes all self-employed persons, both 

those with incorporated businesses and those with 

unincorporated businesses. 

Full-time workers. For the purpose of producing 

estimates of earnings, workers who usually work 35 hours or 

more per week at their sole or principal job are defined as 

working full time. 

Part-time workers. For the purpose of producing 

estimates of earnings, workers who usually work fewer than 

35 hours per week at their sole or principal job are defined as 

working part time. 

Race. In the survey process, race is determined by the 

household respondent. In accordance with the Office of 

Management and Budget guidelines, white, black or African 

American, Asian, American Indian or Alaska Native, and 

Native Hawaiian or Other Pacific Islanders 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

$

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........................................ 101,683 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........................................ 98,151 54,104 44,047 748 836 662 344 384 305

2nd Quarter........................................ 99,616 55,042 44,574 743 813 670 342 374 309

3rd Quarter........................................ 100,407 55,613 44,793 745 822 670 342 377 307

4th Quarter........................................ 99,939 55,469 44,470 750 826 676 341 376 308

2011

1st Quarter........................................ 99,691 55,339 44,352 750 821 679 338 370 306

2nd Quarter........................................ 100,376 55,855 44,521 754 828 687 336 369 306

3rd Quarter........................................ 100,477 56,042 44,435 758 837 682 335 370 301

4th Quarter........................................ 101,287 56,646 44,641 761 838 686 335 369 302

2012

1st Quarter........................................ 102,194 57,114 45,080 765 841 693 335 369 304

2nd Quarter........................................ 102,543 57,113 45,430 772 867 686 337 379 300

3rd Quarter........................................ 102,615 57,216 45,399 764 838 693 332 365 302

4th Quarter........................................ 103,644 57,709 45,935 772 868 690 334 375 298

2013

1st Quarter........................................ 103,960 57,909 46,051 770 860 700 332 371 302

2nd Quarter........................................ 103,981 57,969 46,013 776 862 705 334 371 303

3rd Quarter........................................ 104,497 58,124 46,373 778 859 706 333 368 302

4th Quarter........................................ 104,620 57,988 46,632 782 862 712 334 368 304

2014

1st Quarter........................................ 105,620 58,704 46,917 791 867 716 336 368 304

NOTE: Updated population controls are introduced annually with the release of January data.
Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics,

quarterly averages, not seasonally adjusted

Characteristic

Number of workers

(in thousands) Median weekly earnings

1st

2013

1st

2014

In current dollars In constant (1982-84)

dollars

1st

2013

1st

2014

1st

2013

1st

2014

SEX AND AGE

Total, 16 years and over.............................................. 102,606 104,327 $773 $796 $334 $339

Men, 16 years and over............................................ 56,829 57,654 867 872 374 371

16 to 24 years.................................................... 4,727 4,871 487 480 210 204

25 years and over................................................ 52,102 52,783 914 925 394 394

Women, 16 years and over........................................ 45,777 46,673 704 722 304 307

16 to 24 years.................................................... 3,712 3,707 419 434 181 185

25 years and over................................................ 42,065 42,967 735 754 317 321

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 81,432 82,536 802 819 346 349

Men................................................................. 46,163 46,637 888 898 383 382

Women............................................................. 35,269 35,899 723 740 312 315

Black or African American......................................... 12,432 12,501 622 646 268 275

Men................................................................. 5,784 5,863 666 708 287 301

Women............................................................. 6,648 6,638 597 606 258 258

Asian.................................................................. 5,861 6,353 951 955 410 407

Men................................................................. 3,255 3,516 1,058 1,045 456 445

Women............................................................. 2,606 2,838 831 876 358 373

Hispanic or Latino ethnicity........................................ 16,016 16,804 575 593 248 252

Men................................................................. 9,821 10,292 593 610 256 260

Women............................................................. 6,195 6,513 531 565 229 240

NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all

races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the

release of January data.
Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino

ethnicity, and sex, 1st quarter 2014 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..................................................... 104,327 $796 57,654 $872 46,673 $722

16 to 24 years....................................................... 8,577 465 4,871 480 3,707 434

16 to 19 years.................................................... 843 395 509 410 333 369

20 to 24 years.................................................... 7,735 476 4,362 489 3,373 448

25 years and over................................................... 95,750 837 52,783 925 42,967 754

25 to 54 years.................................................... 74,812 827 41,476 905 33,336 750

25 to 34 years.................................................. 25,237 727 14,246 755 10,991 679

35 to 44 years.................................................. 24,435 891 13,684 973 10,751 787

45 to 54 years.................................................. 25,139 898 13,545 1,021 11,594 787

55 years and over................................................ 20,938 884 11,307 979 9,631 767

55 to 64 years.................................................. 17,335 896 9,342 992 7,993 776

65 years and over............................................. 3,603 809 1,966 938 1,638 714

White

16 years and over................................................... 82,536 819 46,637 898 35,899 740

16 to 24 years.................................................... 6,908 479 3,984 493 2,923 449

25 years and over................................................ 75,628 861 42,652 948 32,976 771

25 to 54 years.................................................. 58,213 851 33,072 929 25,141 771

55 years and over............................................. 17,415 911 9,580 1,006 7,835 772

Black or African American

16 years and over................................................... 12,501 646 5,863 708 6,638 606

16 to 24 years.................................................... 1,020 384 507 386 513 381

25 years and over................................................ 11,481 682 5,356 742 6,125 624

25 to 54 years.................................................. 9,364 670 4,365 731 4,999 615

55 years and over............................................. 2,116 744 991 789 1,125 673

Asian

16 years and over................................................... 6,353 955 3,516 1,045 2,838 876

16 to 24 years.................................................... 342 478 198 498 144 419

25 years and over................................................ 6,011 1,000 3,317 1,088 2,694 921

25 to 54 years.................................................. 4,960 1,037 2,743 1,127 2,217 944

55 years and over............................................. 1,051 895 574 942 477 838

Hispanic or Latino ethnicity

16 years and over................................................... 16,804 593 10,292 610 6,513 565

16 to 24 years.................................................... 1,925 421 1,249 417 677 432

25 years and over................................................ 14,879 618 9,043 651 5,836 587

25 to 54 years.................................................. 12,903 618 7,938 645 4,965 591

55 years and over............................................. 1,976 619 1,105 682 871 556

NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all

races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the

release of January data.
Table 4. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, quarterly

averages, not seasonally adjusted

Occupation and sex

Number of workers

(in thousands) Median weekly earnings

1st

2013

1st

2014

1st

2013

1st

2014

TOTAL

Management, professional, and related occupations................................ 41,565 42,034 $1,136 $1,130

Management, business, and financial operations occupations................... 17,241 17,015 1,238 1,231

Professional and related occupations............................................... 24,324 25,020 1,063 1,072

Service occupations...................................................................... 14,618 14,822 501 504

Sales and office occupations............................................................ 22,716 23,416 655 685

Sales and related occupations....................................................... 9,115 9,683 703 754

Office and administrative support occupations..................................... 13,601 13,733 640 660

Natural resources, construction, and maintenance occupations.................... 10,010 10,162 738 763

Farming, fishing, and forestry occupations......................................... 668 607 430 417

Construction and extraction occupations............................................ 5,169 5,304 707 745

Installation, maintenance, and repair occupations................................. 4,173 4,250 850 820

Production, transportation, and material moving occupations....................... 13,698 13,894 622 644

Production occupations................................................................ 7,290 7,507 640 644

Transportation and material moving occupations.................................. 6,408 6,386 609 644

Men

Management, professional, and related occupations................................ 20,037 19,884 1,344 1,347

Management, business, and financial operations occupations................... 9,292 9,040 1,408 1,399

Professional and related occupations............................................... 10,745 10,844 1,269 1,297

Service occupations...................................................................... 7,388 7,623 576 581

Sales and office occupations............................................................ 8,881 9,261 765 794

Sales and related occupations....................................................... 5,215 5,468 824 875

Office and administrative support occupations..................................... 3,666 3,793 723 720

Natural resources, construction, and maintenance occupations.................... 9,593 9,713 746 773

Farming, fishing, and forestry occupations......................................... 523 496 444 423

Construction and extraction occupations............................................ 5,063 5,168 706 750

Installation, maintenance, and repair occupations................................. 4,008 4,049 853 823

Production, transportation, and material moving occupations....................... 10,931 11,174 674 686

Production occupations................................................................ 5,471 5,631 708 705

Transportation and material moving occupations.................................. 5,459 5,543 627 668

Women

Management, professional, and related occupations................................ 21,528 22,151 984 975

Management, business, and financial operations occupations................... 7,949 7,975 1,083 1,055

Professional and related occupations............................................... 13,579 14,176 945 943

Service occupations...................................................................... 7,231 7,199 447 459

Sales and office occupations............................................................ 13,835 14,155 609 629

Sales and related occupations....................................................... 3,900 4,215 565 599

Office and administrative support occupations..................................... 9,935 9,940 622 641

Natural resources, construction, and maintenance occupations.................... 417 448 608 543

Farming, fishing, and forestry occupations......................................... 145 112 353 368

Construction and extraction occupations............................................ 106 136 743 630

Installation, maintenance, and repair occupations................................. 165 201 827 649

Production, transportation, and material moving occupations....................... 2,767 2,720 502 504

Production occupations................................................................ 1,818 1,877 503 504

Transportation and material moving occupations.................................. 949 843 500 505

NOTE: Updated population controls are introduced annually with the release of January data.
Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by

selected characteristics, 1st quarter 2014 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.............................................. 104,327 $378 $518 $796 $1,254 $1,893

Men................................................................... 57,654 393 564 872 1,399 2,076

Women............................................................... 46,673 360 489 722 1,103 1,637

White.................................................................. 82,536 386 536 819 1,285 1,906

Men................................................................. 46,637 402 581 898 1,428 2,097

Women............................................................. 35,899 368 500 740 1,126 1,665

Black or African American......................................... 12,501 333 439 646 973 1,431

Men................................................................. 5,863 334 465 708 1,068 1,517

Women............................................................. 6,638 333 425 606 908 1,280

Asian.................................................................. 6,353 395 597 955 1,550 2,293

Men................................................................. 3,516 405 621 1,045 1,763 2,500

Women............................................................. 2,838 384 561 876 1,422 1,911

Hispanic or Latino ethnicity........................................ 16,804 320 409 593 899 1,385

Men................................................................. 10,292 325 416 610 945 1,472

Women............................................................. 6,513 314 397 565 841 1,223

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 95,750 396 559 837 1,314 1,914

Less than a high school diploma.................................. 6,601 293 362 480 644 855

High school graduates, no college1

............................... 25,220 367 477 660 942 1,355

Some college or associate degree................................ 25,655 398 526 756 1,081 1,532

Bachelor’s degree and higher2.................................... 38,273 582 821 1,199 1,783 2,613

Bachelor’s degree only.......................................... 24,289 540 754 1,102 1,633 2,306

Advanced degree................................................. 13,983 687 960 1,419 2,026 3,007

Men, 25 years and over............................................ 52,783 414 602 925 1,456 2,122

Less than a high school diploma............................... 4,505 308 385 501 692 907

High school graduates, no college1

............................ 15,042 396 530 756 1,053 1,491

Some college or associate degree............................. 13,374 421 600 859 1,241 1,740

Bachelor’s degree and higher2

................................. 19,862 610 912 1,393 1,997 2,928

Bachelor’s degree only........................................ 12,865 578 834 1,247 1,850 2,599

Advanced degree.............................................. 6,997 753 1,134 1,652 2,431 3,834

Women, 25 years and over........................................ 42,967 379 511 754 1,143 1,689

Less than a high school diploma............................... 2,097 275 328 410 577 711

High school graduates, no college1

............................ 10,178 332 417 564 760 1,025

Some college or associate degree............................. 12,281 381 487 658 929 1,270

Bachelor’s degree and higher2................................. 18,411 550 757 1,063 1,531 2,103

Bachelor’s degree only........................................ 11,424 513 700 981 1,404 1,913

Advanced degree.............................................. 6,987 638 867 1,205 1,733 2,390

1

Includes persons with a high school diploma or equivalent.

2

Includes persons with bachelor’s, master’s, professional, and doctoral degrees.

NOTE: Ten percent of all full-time wage and salary workers earn less than the upper limit of the first decile; 25 percent earn less than the upper limit

of the first quartile; 50 percent earn less than the upper limit of the second quartile, or median; 75 percent earn less than the upper limit of the third

quartile; and 90 percent earn less than the upper limit of the ninth decile. Estimates for the above race groups (white, black or African American, and

Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any

race. Updated population controls are introduced annually with the release of January data.
Table 6. Median usual weekly earnings of part-time wage and salary workers by selected characteristics,

quarterly averages, not seasonally adjusted

Characteristic

Number of workers

(in thousands) Median weekly earnings

1st

2013

1st

2014

1st

2013

1st

2014

SEX AND AGE

Total, 16 years and over................................................................. 24,849 25,053 $234 $236

Men, 16 years and over............................................................... 8,813 8,688 228 235

16 to 24 years........................................................................ 3,775 3,652 180 181

25 years and over................................................................... 5,037 5,036 269 285

Women, 16 years and over........................................................... 16,037 16,366 238 237

16 to 24 years........................................................................ 4,627 4,904 166 173

25 years and over................................................................... 11,410 11,462 272 276

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 20,140 20,274 234 238

Men.................................................................................... 7,005 6,960 226 234

Women................................................................................ 13,136 13,314 239 240

Black or African American............................................................ 2,704 2,952 235 228

Men.................................................................................... 1,105 1,068 235 252

Women................................................................................ 1,599 1,884 236 216

Asian..................................................................................... 1,187 949 240 254

Men.................................................................................... 372 293 238 202

Women................................................................................ 814 656 241 285

Hispanic or Latino ethnicity........................................................... 3,910 4,116 225 226

Men.................................................................................... 1,564 1,577 228 247

Women................................................................................ 2,345 2,539 224 214

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.