For release 10:00 a.m. (EDT) Tuesday, April 18, 2017 USDL-17-0442 

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 2017

Median weekly earnings of the nation's 110.7 million full-time wage and salary workers were $865 in 

the first quarter of 2017 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 4.2 percent higher than a year earlier, compared with a gain of 2.5 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 first-quarter data:

• Median weekly earnings of full-time workers were $865 in the first quarter of 2017. Women

had median weekly earnings of $765, or 80.5 percent of the $950 median for men. (See table 2.)

• The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 80.9

percent as much as their male counterparts, compared with Black women (89.3 percent), Asian

women (74.0 percent), and Hispanic women (86.1 percent). (See table 2.)

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

full-time jobs were $722, or 73.9 percent of the median for White men ($977). The difference

was less among women, as Black women's median earnings ($645) were 81.6 percent of those for 

White women ($790). Overall, median earnings of Hispanics who worked full time ($649) were 

lower than those of Blacks ($679), Whites ($894), and Asians ($1,019). (See table 2.)

• Usual weekly earnings of full-time workers varied by age. Among men, median weekly earnings

were highest for those age 45 to 54 ($1,141). Usual weekly earnings were highest for women age

35 to 64: weekly earnings were $846 for women age 35 to 44, $863 for women age 45 to 54, and

$836 for women age 55 to 64. Men and women age 16 to 24 had the lowest median weekly

earnings, $558 and $489, respectively. (See table 3.) 
- 2 - 

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

professional, and related occupations had the highest median weekly earnings—$1,436 for

men and $1,044 for women. Men and women employed in service jobs earned the least, $624 

and $497, respectively. (See table 4.)

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

had median weekly earnings of $512, compared with $702 for high school graduates (no college) 

and $1,280 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 $3,871 or more per week, compared with $2,653 or more for their female 

counterparts. (See table 5.) 

• Seasonally adjusted median weekly earnings edged up to $855 in the first quarter of 2017. 

(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 2012 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 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

$

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........................................ 102,161 57,110 45,051 764 841 693 335 368 303

2nd Quarter........................................ 102,525 57,079 45,447 772 870 687 337 380 300

3rd Quarter........................................ 102,587 57,207 45,380 766 836 693 333 364 302

4th Quarter........................................ 103,748 57,772 45,977 771 868 690 333 375 298

2013

1st Quarter........................................ 103,896 57,885 46,011 768 860 699 331 370 301

2nd Quarter........................................ 103,976 57,938 46,038 777 866 706 335 373 304

3rd Quarter........................................ 104,429 58,099 46,330 779 855 706 334 366 303

4th Quarter........................................ 104,784 58,081 46,703 782 862 712 334 368 304

2014

1st Quarter........................................ 105,557 58,670 46,888 790 866 715 335 367 304

2nd Quarter........................................ 106,387 59,516 46,871 782 861 715 330 364 302

3rd Quarter........................................ 106,766 59,573 47,193 799 878 722 336 370 304

4th Quarter........................................ 107,413 60,059 47,354 794 876 723 335 370 305

2015

1st Quarter........................................ 108,404 60,356 48,048 801 887 723 340 377 307

2nd Quarter........................................ 108,630 60,453 48,177 804 891 726 339 376 307

3rd Quarter........................................ 109,297 61,017 48,280 811 897 728 341 377 306

4th Quarter........................................ 109,997 61,164 48,833 820 901 728 344 379 306

2016

1st Quarter........................................ 110,362 61,633 48,730 823 905 743 346 380 312

2nd Quarter........................................ 111,029 61,865 49,164 828 914 744 346 382 311

3rd Quarter........................................ 111,601 62,128 49,473 835 919 751 347 382 313

4th Quarter........................................ 111,361 62,094 49,268 843 922 757 348 380 313

2017

1st Quarter........................................ 111,915 62,465 49,450 855 940 759 350 385 311

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

1st

2016

1st

2017

In current dollars In constant (1982-84)

dollars

1st

2016

1st

2017

1st

2016

1st

2017

SEX AND AGE

Total, 16 years and over.............................................. 109,147 110,706 $830 $865 $350 $355

Men, 16 years and over............................................ 60,639 61,488 912 950 384 390

16 to 24 years.................................................... 5,278 5,335 511 558 215 229

25 years and over................................................ 55,361 56,153 963 998 406 410

Women, 16 years and over........................................ 48,508 49,218 750 765 316 314

16 to 24 years.................................................... 4,065 4,174 488 489 205 201

25 years and over................................................ 44,443 45,044 779 803 328 330

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White.................................................................. 85,226 86,068 857 894 361 367

Men................................................................. 48,482 49,025 936 977 394 401

Women............................................................. 36,744 37,043 767 790 323 324

Black or African American......................................... 13,582 14,085 673 679 283 279

Men................................................................. 6,492 6,629 732 722 308 297

Women............................................................. 7,090 7,456 625 645 263 265

Asian.................................................................. 6,742 7,077 1,032 1,019 435 419

Men................................................................. 3,721 3,934 1,159 1,205 488 495

Women............................................................. 3,021 3,144 933 892 393 366

Hispanic or Latino ethnicity........................................ 18,545 18,958 612 649 258 267

Men................................................................. 11,273 11,362 641 692 270 284

Women............................................................. 7,273 7,596 574 596 242 245

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 2017 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..................................................... 110,706 $865 61,488 $950 49,218 $765

16 to 24 years....................................................... 9,509 516 5,335 558 4,174 489

16 to 19 years.................................................... 1,050 426 629 482 421 394

20 to 24 years.................................................... 8,459 528 4,706 578 3,753 502

25 years and over................................................... 101,197 908 56,153 998 45,044 803

25 to 54 years.................................................... 78,136 897 43,654 982 34,482 795

25 to 34 years.................................................. 27,615 778 15,525 825 12,090 716

35 to 44 years.................................................. 25,077 947 14,154 1,050 10,923 846

45 to 54 years.................................................. 25,443 1,001 13,975 1,141 11,469 863

55 years and over................................................ 23,061 951 12,499 1,045 10,562 828

55 to 64 years.................................................. 18,828 962 10,169 1,061 8,659 836

65 years and over............................................. 4,233 900 2,330 979 1,903 800

White

16 years and over................................................... 86,068 894 49,025 977 37,043 790

16 to 24 years.................................................... 7,218 526 4,184 579 3,034 493

25 years and over................................................ 78,851 937 44,841 1,025 34,010 827

25 to 54 years.................................................. 59,927 924 34,374 1,009 25,553 820

55 years and over............................................. 18,923 984 10,467 1,098 8,456 855

Black or African American

16 years and over................................................... 14,085 679 6,629 722 7,456 645

16 to 24 years.................................................... 1,389 435 638 416 752 452

25 years and over................................................ 12,695 709 5,991 756 6,704 672

25 to 54 years.................................................. 10,247 704 4,834 753 5,412 661

55 years and over............................................. 2,449 725 1,157 768 1,291 708

Asian

16 years and over................................................... 7,077 1,019 3,934 1,205 3,144 892

16 to 24 years.................................................... 480 600 278 569 202 630

25 years and over................................................ 6,597 1,089 3,655 1,247 2,942 921

25 to 54 years.................................................. 5,381 1,117 3,015 1,271 2,366 921

55 years and over............................................. 1,216 970 640 1,112 576 921

Hispanic or Latino ethnicity

16 years and over................................................... 18,958 649 11,362 692 7,596 596

16 to 24 years.................................................... 2,202 483 1,314 498 888 459

25 years and over................................................ 16,756 687 10,047 725 6,709 623

25 to 54 years.................................................. 14,219 681 8,535 720 5,683 620

55 years and over............................................. 2,537 715 1,512 769 1,025 645

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

2016

1st

2017

1st

2016

1st

2017

TOTAL

Management, professional, and related occupations................................ 45,297 46,864 $1,174 $1,216

Management, business, and financial operations occupations................... 18,940 19,513 1,281 1,307

Professional and related occupations............................................... 26,357 27,351 1,134 1,152

Service occupations...................................................................... 15,709 15,494 526 549

Sales and office occupations............................................................ 23,484 23,556 693 723

Sales and related occupations....................................................... 9,484 9,987 739 763

Office and administrative support occupations..................................... 14,000 13,569 676 706

Natural resources, construction, and maintenance occupations.................... 10,508 10,773 789 791

Farming, fishing, and forestry occupations......................................... 704 762 504 522

Construction and extraction occupations............................................ 5,529 5,612 772 787

Installation, maintenance, and repair occupations................................. 4,275 4,399 880 864

Production, transportation, and material moving occupations....................... 14,150 14,019 644 690

Production occupations................................................................ 7,200 7,232 644 702

Transportation and material moving occupations.................................. 6,950 6,787 643 672

Men

Management, professional, and related occupations................................ 21,928 22,841 1,431 1,436

Management, business, and financial operations occupations................... 10,118 10,611 1,539 1,525

Professional and related occupations............................................... 11,810 12,230 1,356 1,384

Service occupations...................................................................... 7,852 7,613 609 624

Sales and office occupations............................................................ 9,287 9,468 808 841

Sales and related occupations....................................................... 5,440 5,600 898 935

Office and administrative support occupations..................................... 3,847 3,868 705 740

Natural resources, construction, and maintenance occupations.................... 10,096 10,318 799 797

Farming, fishing, and forestry occupations......................................... 584 635 517 549

Construction and extraction occupations............................................ 5,410 5,435 776 786

Installation, maintenance, and repair occupations................................. 4,102 4,248 886 869

Production, transportation, and material moving occupations....................... 11,477 11,248 675 736

Production occupations................................................................ 5,416 5,378 698 768

Transportation and material moving occupations.................................. 6,060 5,870 652 710

Women

Management, professional, and related occupations................................ 23,369 24,023 1,024 1,044

Management, business, and financial operations occupations................... 8,822 8,902 1,108 1,136

Professional and related occupations............................................... 14,547 15,121 986 1,002

Service occupations...................................................................... 7,857 7,881 483 497

Sales and office occupations............................................................ 14,197 14,088 649 673

Sales and related occupations....................................................... 4,044 4,387 590 598

Office and administrative support occupations..................................... 10,152 9,701 668 697

Natural resources, construction, and maintenance occupations.................... 412 455 579 577

Farming, fishing, and forestry occupations......................................... 120 127 453 423

Construction and extraction occupations............................................ 119 177 519 827

Installation, maintenance, and repair occupations................................. 173 151 683 753

Production, transportation, and material moving occupations....................... 2,674 2,771 539 535

Production occupations................................................................ 1,784 1,854 521 549

Transportation and material moving occupations.................................. 890 917 588 511

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 2017 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.............................................. 110,706 $407 $575 $865 $1,367 $2,081

Men................................................................... 61,488 432 610 950 1,525 2,310

Women............................................................... 49,218 385 518 765 1,182 1,774

White.................................................................. 86,068 419 591 894 1,403 2,111

Men................................................................. 49,025 455 628 977 1,553 2,322

Women............................................................. 37,043 393 535 790 1,212 1,802

Black or African American......................................... 14,085 355 468 679 1,030 1,528

Men................................................................. 6,629 357 476 722 1,130 1,667

Women............................................................. 7,456 353 461 645 987 1,418

Asian.................................................................. 7,077 450 635 1,019 1,757 2,574

Men................................................................. 3,934 487 717 1,205 1,889 2,890

Women............................................................. 3,144 403 576 892 1,461 2,217

Hispanic or Latino ethnicity........................................ 18,958 368 462 649 991 1,559

Men................................................................. 11,362 386 490 692 1,062 1,735

Women............................................................. 7,596 337 422 596 886 1,335

EDUCATIONAL ATTAINMENT

Total, 25 years and over.............................................. 101,197 426 601 908 1,425 2,147

Less than a high school diploma.................................. 6,709 317 396 512 708 994

High school graduates, no college1

............................... 25,084 392 508 702 1,018 1,482

Some college or associate degree................................ 27,236 425 581 791 1,157 1,600

Bachelor’s degree and higher2.................................... 42,168 605 869 1,280 1,911 2,884

Bachelor’s degree only.......................................... 26,094 577 803 1,179 1,798 2,584

Advanced degree................................................. 16,074 708 993 1,471 2,198 3,192

Men, 25 years and over............................................ 56,153 464 647 998 1,579 2,385

Less than a high school diploma............................... 4,493 346 428 576 784 1,102

High school graduates, no college1

............................ 15,327 427 568 792 1,153 1,647

Some college or associate degree............................. 14,584 472 638 922 1,314 1,853

Bachelor’s degree and higher2

................................. 21,750 664 959 1,490 2,276 3,220

Bachelor’s degree only........................................ 13,739 618 902 1,369 2,004 2,902

Advanced degree.............................................. 8,011 753 1,145 1,756 2,510 3,871

Women, 25 years and over........................................ 45,044 398 552 803 1,232 1,857

Less than a high school diploma............................... 2,216 280 351 433 567 745

High school graduates, no college1

............................ 9,758 353 452 602 811 1,153

Some college or associate degree............................. 12,652 398 519 695 969 1,313

Bachelor’s degree and higher2................................. 20,418 576 794 1,135 1,616 2,314

Bachelor’s degree only........................................ 12,355 518 730 1,026 1,484 2,106

Advanced degree.............................................. 8,063 665 919 1,275 1,847 2,653

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

2016

1st

2017

1st

2016

1st

2017

SEX AND AGE

Total, 16 years and over................................................................. 25,309 25,516 $246 $256

Men, 16 years and over............................................................... 8,655 8,737 245 249

16 to 24 years........................................................................ 3,768 3,784 193 194

25 years and over................................................................... 4,888 4,953 293 296

Women, 16 years and over........................................................... 16,654 16,780 248 259

16 to 24 years........................................................................ 4,909 4,876 186 193

25 years and over................................................................... 11,745 11,904 285 294

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White..................................................................................... 20,007 20,154 249 258

Men.................................................................................... 6,728 6,661 243 251

Women................................................................................ 13,278 13,493 252 262

Black or African American............................................................ 3,095 3,114 232 246

Men.................................................................................... 1,123 1,229 241 237

Women................................................................................ 1,972 1,885 227 252

Asian..................................................................................... 1,284 1,313 257 275

Men.................................................................................... 453 473 263 295

Women................................................................................ 831 841 253 264

Hispanic or Latino ethnicity........................................................... 4,209 4,270 241 259

Men.................................................................................... 1,544 1,459 248 263

Women................................................................................ 2,665 2,811 238 257

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.