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Economic News Release
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Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (ET) Friday, July 16, 2021 			USDL-21-1319

Technical information:	cpsinfo@bls.gov  *  www.bls.gov/cps
Media contact:	        (202) 691-5902  *  PressOffice@bls.gov


                USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS
                               SECOND QUARTER 2021


Median weekly earnings of the nation's 113.6 million full-time wage and salary
workers were $990 in the second quarter of 2021 (not seasonally adjusted), the U.S.
Bureau of Labor Statistics reported today. This was 1.2 percent lower than a year
earlier, compared with a gain of 4.8 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 news release are not 
seasonally adjusted unless otherwise specified.

Highlights from the second-quarter data:

   --Median weekly earnings of full-time workers were $990 in the second quarter of
     2021. Women had median weekly earnings of $899, or 82.2 percent of the $1,094
     median for men. (See table 2.)

   --The women's-to-men's earnings ratio varied by race and ethnicity. White women
     earned 82.6 percent as much as their male counterparts, compared with 85.1 
     percent for Black women, 70.4 percent for Asian women, and 86.5 percent for 
     Hispanic women. (See table 2.)

   --Among the major race and ethnicity groups, median weekly earnings of Blacks 
     ($799) and Hispanics ($779) working at full-time jobs were lower than those 
     of Whites ($1,012) and Asians ($1,281). By sex, median weekly earnings for 
     Black men were $877, or 78.7 percent of the median for White men ($1,115). 
     Median earnings for Hispanic men were $825, or 74.0 percent of the median for
     White men. The difference was less among women, as Black women's median 
     earnings were $746, or 81.0 percent of those for White women ($921), and 
     earnings for Hispanic women were $714, or 77.5 percent of those for White 
     women. Earnings of Asian men ($1,473) and women ($1,037) were higher than 
     those of their White counterparts. (See table 2.)

   --By age, median weekly earnings were highest for men ages 35 to 64: weekly 
     earnings were $1,242 for men ages 35 to 44, $1,279 for men ages 45 to 54, and
     $1,246 for men ages 55 to 64. Usual weekly earnings were also highest for 
     women ages 35 to 64: median weekly earnings were $968 for women ages 35 to 44,
     $985 for women ages 45 to 54, and $973 for women ages 55 to 64. Men and women
     ages 16 to 24 had the lowest median weekly earnings, $643 and $596, 
     respectively. Men's and women's earnings were closer among younger workers than
     older workers; for example, women ages 16 to 24 earned 92.7 percent as much as
     men in the same age group, while the women's-to-men's earnings ratio was 76.9
     percent for those age 55 and over. (See table 3.)

   --Among the major occupational groups, persons employed full time in management,
     professional, and related occupations had the highest median weekly earnings--
     $1,586 for men and $1,195 for women. Men and women employed in service 
     occupations earned the least, $713 and $586, respectively. (See table 4.)

   --By educational attainment, full-time workers age 25 and over without a high 
     school diploma had median weekly earnings of $620, compared with $793 for high
     school graduates (no college) and $1,438 for those holding at least a 
     bachelor's degree. Among college graduates with advanced degrees (master's, 
     professional, and doctoral degrees), the highest earning 10 percent of male 
     workers made $4,508 or more per week, compared with $2,919 or more for their 
     female counterparts. (See table 5.)

   --Seasonally adjusted median weekly earnings were $990 in the second quarter of 
     2021, little changed from the previous quarter. (See table 1.)


 _______________________________________________________________________________________
|											|
|         Coronavirus (COVID-19) Pandemic Impact on Usual Weekly Earnings Data          |
|											|
| Usual weekly earnings data for the second quarter of 2021 continue to reflect the 	|
| impact on the labor market of the coronavirus (COVID-19) pandemic. Changes in weekly  |
| earnings should be interpreted with caution due to pandemic-related employment 	|
| changes. The recent rebound in employment among lower-paid workers has put downward 	|
| pressure on median weekly earnings. More information on labor market developments in	|
| recent months is available at www.bls.gov/covid19/effects-of-covid-19-pandemic-and-	|
| response-on-the-employment-situation-news-release.htm.				|
|_______________________________________________________________________________________|




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 house-
holds, 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
$

2012

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

103,928 57,884 46,044 768 860 699 331 370 301

2nd quarter

103,988 57,944 46,044 777 863 706 335 372 304

3rd quarter

104,400 58,082 46,318 779 855 705 334 367 302

4th quarter

104,764 58,095 46,669 782 865 712 334 369 304

2014

1st quarter

105,633 58,682 46,951 790 865 716 335 367 304

2nd quarter

106,342 59,486 46,855 781 860 715 330 363 302

3rd quarter

106,726 59,543 47,183 798 878 721 336 370 304

4th quarter

107,436 60,123 47,313 795 878 724 336 371 306

2015

1st quarter

108,448 60,346 48,102 802 886 725 341 377 308

2nd quarter

108,541 60,386 48,154 803 890 725 339 376 306

3rd quarter

109,315 61,004 48,311 809 896 727 340 377 306

4th quarter

110,060 61,292 48,768 821 904 729 345 380 307

2016

1st quarter

110,323 61,559 48,764 823 904 744 346 380 313

2nd quarter

110,921 61,770 49,152 828 913 746 345 381 311

3rd quarter

111,789 62,239 49,550 834 918 748 347 381 311

4th quarter

111,357 62,182 49,175 845 924 759 349 381 313

2017

1st quarter

111,846 62,372 49,474 857 941 760 352 386 312

2nd quarter

113,121 62,938 50,184 863 938 783 354 384 321

3rd quarter

113,880 63,327 50,552 865 943 768 352 385 313

4th quarter

114,265 63,310 50,955 853 943 770 345 381 311

2018

1st quarter

114,502 63,888 50,615 874 956 778 351 384 312

2nd quarter

115,502 64,146 51,356 881 964 784 351 384 312

3rd quarter

116,223 64,379 51,844 892 979 796 354 389 316

4th quarter

116,059 64,178 51,881 897 990 795 355 392 314

2019

1st quarter

117,202 64,896 52,306 898 995 802 355 393 317

2nd quarter

117,299 65,054 52,244 914 1,005 818 358 393 320

3rd quarter

117,426 64,842 52,585 922 1,009 824 360 394 322

4th quarter

118,423 65,250 53,173 934 1,019 844 362 395 327

2020

1st quarter

116,986 64,352 52,634 949 1,057 853 367 409 330

2nd quarter

104,204 57,686 46,517 1,009 1,092 918 393 426 358

3rd quarter

108,754 59,909 48,846 996 1,110 900 384 428 347

4th quarter

111,617 61,710 49,908 983 1,069 896 377 410 343

2021

1st quarter

112,993 62,092 50,901 984 1,080 898 373 410 341

2nd quarter

115,505 62,624 52,881 990 1,095 890 368 408 331

NOTE: Updated population controls are introduced annually with the release of January data.


Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics, quarterly averages, not seasonally adjusted
Characteristic Number of workers
(in thousands)
Median weekly earnings
2nd
2020
2nd
2021
In current dollars In constant (1982-84) dollars
2nd
2020
2nd
2021
2nd
2020
2nd
2021

SEX AND AGE

Total, 16 years and over

104,487 113,593 $1,002 $990 $390 $368

Men, 16 years and over

57,994 62,485 1,087 1,094 423 406

16 to 24 years

4,600 5,759 640 643 249 239

25 years and over

53,394 56,726 1,147 1,154 447 429

Women, 16 years and over

46,493 51,108 913 899 356 334

16 to 24 years

3,826 4,660 594 596 231 221

25 years and over

42,667 46,448 956 944 372 351

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

81,005 87,138 1,017 1,012 396 376

Men

46,066 49,224 1,115 1,115 434 414

Women

34,939 37,914 929 921 362 342

Black or African American

13,109 14,665 805 799 314 296

Men

6,298 6,969 828 877 323 326

Women

6,811 7,696 779 746 303 277

Asian

6,827 7,724 1,336 1,281 520 476

Men

3,771 4,106 1,479 1,473 576 547

Women

3,056 3,619 1,141 1,037 444 385

Hispanic or Latino ethnicity

18,077 20,777 786 779 306 289

Men

10,884 12,450 841 825 328 306

Women

7,193 8,327 717 714 279 265

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino ethnicity, and sex, 2nd quarter 2021 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

113,593 $990 62,485 $1,094 51,108 $899

16 to 24 years

10,419 619 5,759 643 4,660 596

16 to 19 years

1,623 555 940 595 683 501

20 to 24 years

8,796 633 4,819 656 3,977 613

25 years and over

103,174 1,048 56,726 1,154 46,448 944

25 to 54 years

78,857 1,030 43,425 1,138 35,432 945

25 to 34 years

28,398 928 15,723 961 12,675 886

35 to 44 years

26,161 1,119 14,680 1,242 11,481 968

45 to 54 years

24,298 1,134 13,021 1,279 11,276 985

55 years and over

24,317 1,101 13,301 1,224 11,016 941

55 to 64 years

19,161 1,130 10,386 1,246 8,775 973

65 years and over

5,156 989 2,915 1,141 2,241 816

White

16 years and over

87,138 1,012 49,224 1,115 37,914 921

16 to 24 years

8,010 633 4,577 660 3,433 605

25 years and over

79,129 1,078 44,648 1,170 34,481 964

25 to 54 years

59,597 1,059 33,745 1,146 25,852 966

55 years and over

19,531 1,130 10,903 1,262 8,628 955

Black or African American

16 years and over

14,665 799 6,969 877 7,696 746

16 to 24 years

1,369 527 660 522 709 533

25 years and over

13,296 851 6,309 913 6,987 789

25 to 54 years

10,430 820 4,926 900 5,505 767

55 years and over

2,866 936 1,383 973 1,482 870

Asian

16 years and over

7,724 1,281 4,106 1,473 3,619 1,037

16 to 24 years

414 677 175 733 238 619

25 years and over

7,310 1,338 3,930 1,530 3,380 1,118

25 to 54 years

5,921 1,387 3,197 1,569 2,723 1,153

55 years and over

1,390 1,095 733 1,206 657 900

Hispanic or Latino ethnicity

16 years and over

20,777 779 12,450 825 8,327 714

16 to 24 years

2,478 607 1,365 611 1,113 598

25 years and over

18,299 817 11,085 878 7,214 746

25 to 54 years

15,230 821 9,221 861 6,008 768

55 years and over

3,069 799 1,864 961 1,205 653

NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 4. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, quarterly averages, not seasonally adjusted
Occupation and sex Number of workers
(in thousands)
Median weekly earnings
2nd
2020
2nd
2021
2nd
2020
2nd
2021

TOTAL

Management, professional, and related occupations

48,960 50,580 $1,355 $1,366

Management, business, and financial operations occupations

20,811 21,300 1,440 1,445

Professional and related occupations

28,150 29,280 1,288 1,319

Service occupations

12,195 14,701 625 625

Sales and office occupations

19,810 22,185 819 828

Sales and related occupations

8,167 9,412 918 910

Office and administrative support occupations

11,643 12,772 784 802

Natural resources, construction, and maintenance occupations

9,863 11,094 906 924

Farming, fishing, and forestry occupations

862 821 601 659

Construction and extraction occupations

5,120 6,023 901 899

Installation, maintenance, and repair occupations

3,882 4,250 1,002 1,027

Production, transportation, and material moving occupations

13,658 15,034 761 764

Production occupations

6,302 6,758 793 795

Transportation and material moving occupations

7,356 8,276 731 731

Men

Management, professional, and related occupations

23,860 24,560 1,603 1,586

Management, business, and financial operations occupations

11,062 11,262 1,664 1,652

Professional and related occupations

12,798 13,298 1,552 1,544

Service occupations

6,137 7,008 705 713

Sales and office occupations

7,744 8,747 963 985

Sales and related occupations

4,489 5,065 1,069 1,099

Office and administrative support occupations

3,255 3,682 829 908

Natural resources, construction, and maintenance occupations

9,383 10,528 917 932

Farming, fishing, and forestry occupations

657 671 622 689

Construction and extraction occupations

4,963 5,807 903 901

Installation, maintenance, and repair occupations

3,763 4,050 1,004 1,034

Production, transportation, and material moving occupations

10,871 11,641 813 821

Production occupations

4,742 4,999 863 860

Transportation and material moving occupations

6,129 6,642 774 794

Women

Management, professional, and related occupations

25,101 26,020 1,167 1,195

Management, business, and financial operations occupations

9,748 10,038 1,269 1,256

Professional and related occupations

15,352 15,982 1,130 1,157

Service occupations

6,058 7,692 583 586

Sales and office occupations

12,066 13,438 755 762

Sales and related occupations

3,678 4,347 709 726

Office and administrative support occupations

8,388 9,091 766 774

Natural resources, construction, and maintenance occupations

480 565 676 677

Farming, fishing, and forestry occupations

205 150 530 596

Construction and extraction occupations

157 215 810 701

Installation, maintenance, and repair occupations

119 200 766 933

Production, transportation, and material moving occupations

2,788 3,393 603 622

Production occupations

1,560 1,759 639 648

Transportation and material moving occupations

1,227 1,634 563 610

NOTE: Updated population controls are introduced annually with the release of January data. Effective with January 2020 data, occupations reflect the introduction of the 2018 Census occupational classification system, derived from the 2018 Standard Occupational Classification (SOC). No historical data have been revised. Data for 2020 are not strictly comparable with earlier years.


Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 2nd quarter 2021 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

113,593 $502 $665 $990 $1,557 $2,405

Men

62,485 525 711 1,094 1,747 2,705

Women

51,108 481 618 899 1,366 2,082

White

87,138 514 686 1,012 1,578 2,424

Men

49,224 550 727 1,115 1,756 2,723

Women

37,914 487 634 921 1,388 2,093

Black or African American

14,665 448 572 799 1,239 1,857

Men

6,969 465 587 877 1,349 2,001

Women

7,696 435 556 746 1,159 1,669

Asian

7,724 545 760 1,281 2,004 2,991

Men

4,106 601 907 1,473 2,300 3,449

Women

3,619 507 672 1,037 1,733 2,493

Hispanic or Latino ethnicity

20,777 450 588 779 1,171 1,799

Men

12,450 474 605 825 1,221 1,872

Women

8,327 423 555 714 1,100 1,637

EDUCATIONAL ATTAINMENT

Total, 25 years and over

103,174 523 703 1,048 1,635 2,496

Less than a high school diploma

5,885 380 493 620 853 1,182

High school graduates, no college(1)

24,548 476 594 793 1,138 1,633

Some college or associate degree

25,729 519 661 915 1,312 1,880

Bachelor's degree and higher(2)

47,011 705 971 1,438 2,197 3,274

Bachelor's degree only

28,661 660 901 1,314 1,973 2,918

Advanced degree

18,351 807 1,133 1,641 2,496 3,844

Men, 25 years and over

56,726 567 757 1,154 1,838 2,815

Less than a high school diploma

4,040 415 522 669 935 1,255

High school graduates, no college(1)

15,215 500 645 887 1,269 1,843

Some college or associate degree

13,838 576 749 1,045 1,496 2,042

Bachelor's degree and higher(2)

23,631 747 1,130 1,668 2,519 3,840

Bachelor's degree only

14,957 709 1,003 1,530 2,296 3,347

Advanced degree

8,674 904 1,338 1,919 2,914 4,508

Women, 25 years and over

46,448 498 647 944 1,426 2,134

Less than a high school diploma

1,845 320 418 569 670 909

High school graduates, no college(1)

9,333 425 533 674 920 1,277

Some college or associate degree

11,891 490 602 786 1,104 1,468

Bachelor's degree and higher(2)

23,380 671 899 1,252 1,846 2,686

Bachelor's degree only

13,703 621 832 1,149 1,648 2,399

Advanced degree

9,677 761 1,008 1,426 2,028 2,919

Footnotes
(1) Includes persons with a high school diploma or equivalent.
(2) Includes persons with bachelor's, master's, professional, and doctoral degrees.

NOTE: Ten percent of all full-time wage and salary workers earn less than the upper limit of the first decile; 25 percent earn less than the upper limit of the first quartile; 50 percent earn less than the upper limit of the second quartile, or median; 75 percent earn less than the upper limit of the third quartile; and 90 percent earn less than the upper limit of the ninth decile.
Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of January data.


Table 6. Median usual weekly earnings of part-time wage and salary workers by selected characteristics, quarterly averages, not seasonally adjusted
Characteristic Number of workers
(in thousands)
Median weekly earnings
2nd
2020
2nd
2021
2nd
2020
2nd
2021

SEX AND AGE

Total, 16 years and over

18,187 21,705 $316 $314

Men, 16 years and over

6,472 7,667 314 308

16 to 24 years

2,725 3,334 262 267

25 years and over

3,747 4,332 381 360

Women, 16 years and over

11,715 14,038 317 317

16 to 24 years

3,115 4,363 239 251

25 years and over

8,599 9,675 367 369

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

14,085 17,002 318 316

Men

4,964 5,898 312 310

Women

9,122 11,104 321 320

Black or African American

2,499 2,584 296 286

Men

898 1,024 300 290

Women

1,602 1,561 294 284

Asian

955 1,163 358 357

Men

343 415 387 357

Women

613 748 343 357

Hispanic or Latino ethnicity

3,279 3,859 314 332

Men

1,281 1,497 330 328

Women

1,998 2,362 304 334

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.


Last Modified Date: July 16, 2021