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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 17, 2020 	               USDL-20-1380

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 2020              


Median weekly earnings of the nation's 104.5 million full-time wage and
salary workers were $1,002 in the second quarter of 2020 (not seasonally
adjusted), the U.S. Bureau of Labor Statistics reported today. This was
10.4 percent higher than a year earlier, compared with a gain of 0.4
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 in this news release.)
Data shown in this news release are not seasonally adjusted unless
otherwise specified.
 ___________________________________________________________________________
|                                                                           |
|           Coronavirus (COVID-19) Impact on Second Quarter 2020	    |
|                        Household Survey Data				    |
|									    |
| Usual weekly earnings data for the second quarter of 2020 continue to	    |
| reflect the impact on the labor market of the coronavirus (COVID-19)	    |
| pandemic and efforts to contain it. Changes in weekly earnings in	    |
| recent quarters must be interpreted with caution. The unusually large	    |
| increase in median weekly earnings in the second quarter reflects the	    |
| fact that employment declined more for lower-paid workers than for	    |
| higher-paid workers. More information on labor market developments in	    |
| recent months is available at 					    |
| www.bls.gov/cps/employment-situation-covid19-faq-june-2020.pdf. 	    |
|___________________________________________________________________________|

Highlights from the second-quarter data:

  --Median weekly earnings of full-time workers were $1,002 in the second
    quarter of 2020. Women had median weekly earnings of $913, or 84.0
    percent of the $1,087 median for men. (See table 2.)

  --The women's-to-men's earnings ratio varied by race and ethnicity. White
    women earned 83.3 percent as much as their male counterparts, compared
    with 93.7 percent for Black women, 77.1 percent for Asian women, and 
    85.1 percent for Hispanic women. (See table 2.)

  --Among the major race and ethnicity groups, median weekly earnings of
    Blacks ($806) and Hispanics ($786) working at full-time jobs were lower
    than those of Whites ($1,018) and Asians ($1,336). By sex, median weekly
    earnings for Black men were $831, or 74.5 percent of the median for White
    men ($1,116). Median earnings for Hispanic men were $843, or 75.5 percent
    of the median for White men. The difference was less among women, as
    Black women's median earnings were $779, or 83.8 percent of those for
    White women ($930), and earnings for Hispanic women were $717, or 77.1
    percent of those for White women. Earnings of Asian men ($1,479) and
    women ($1,141) 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 $1,239 for men ages 35 to 44, $1,271 for men ages 45 to 54,
    and $1,220 for men ages 55 to 64. Usual weekly earnings were highest for
    women age 35 and over: median weekly earnings were $1,011 for women ages
    35 to 44, $1,005 for women ages 45 to 54, $972 for women ages 55 to 64,
    and $998 for women age 65 and over. Men and women ages 16 to 24 had the
    lowest median weekly earnings, $640 and $594, respectively. (See table 3.)

  --Among the major occupational groups, persons employed full time in management,
    professional, and related occupations had the highest median weekly earnings--
    $1,606 for men and $1,168 for women. Men and women employed in service
    occupations earned the least, $704 and $584, respectively. (See table 4.)

  --By educational attainment, full-time workers age 25 and over without a high
    school diploma had median weekly earnings of $630, compared with $789 for high
    school graduates (no college) and $1,416 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 $3,997 or more per week, compared with $2,910 or more for their
    female counterparts. (See table 5.)

  --Seasonally adjusted median weekly earnings increased to $1,006 in the second
    quarter of 2020. (See table 1.)




Technical Note


   The estimates in this release were obtained from the Current Population Survey (CPS),
which provides basic information on the labor force, employment, and unemployment. The
survey is conducted monthly for the Bureau of Labor Statistics (BLS) by the U.S. Census
Bureau using a scientifically selected national sample of about 60,000 eligible 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
$

2011

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

103,928 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

110,358 61,584 48,774 824 903 745 346 380 313

2nd quarter

110,928 61,771 49,157 827 914 744 345 382 311

3rd quarter

111,635 62,127 49,507 833 917 750 346 381 312

4th quarter

111,483 62,283 49,199 846 924 758 349 382 313

2017

1st quarter

111,875 62,386 49,488 858 940 760 352 386 312

2nd quarter

113,116 62,921 50,195 862 939 780 353 385 320

3rd quarter

113,720 63,225 50,495 864 943 771 352 385 314

4th quarter

114,403 63,425 50,979 853 943 770 345 382 311

2018

1st quarter

114,538 63,898 50,639 875 955 778 351 383 312

2nd quarter

115,474 64,107 51,367 880 964 780 351 385 311

3rd quarter

116,073 64,296 51,777 892 980 800 354 389 318

4th quarter

116,199 64,296 51,903 897 991 794 355 392 314

2019

1st quarter

117,250 64,906 52,345 899 994 802 355 392 317

2nd quarter

117,254 64,997 52,257 912 1,005 814 357 394 319

3rd quarter

117,286 64,776 52,510 924 1,010 829 360 394 323

4th quarter

118,556 65,365 53,191 933 1,019 843 362 395 327

2020

1st quarter

117,188 64,473 52,715 949 1,054 852 367 408 329

2nd quarter

104,223 57,688 46,535 1,006 1,092 914 392 426 356

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
2019
2nd
2020
In current dollars In constant (1982-84) dollars
2nd
2019
2nd
2020
2nd
2019
2nd
2020

SEX AND AGE

Total, 16 years and over

117,567 104,487 $908 $1,002 $355 $390

Men, 16 years and over

65,354 57,994 1,000 1,087 391 423

16 to 24 years

6,100 4,600 601 640 235 249

25 years and over

59,254 53,394 1,059 1,147 414 447

Women, 16 years and over

52,214 46,493 814 913 318 356

16 to 24 years

4,805 3,826 522 594 204 231

25 years and over

47,408 42,667 855 955 334 372

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

90,285 81,005 933 1,018 365 396

Men

51,321 46,066 1,026 1,116 401 434

Women

38,964 34,939 835 930 326 362

Black or African American

15,301 13,109 724 806 283 314

Men

7,402 6,298 761 831 297 323

Women

7,900 6,811 691 779 270 303

Asian

7,952 6,827 1,152 1,336 450 520

Men

4,418 3,771 1,331 1,479 520 576

Women

3,534 3,056 965 1,141 377 444

Hispanic or Latino ethnicity

21,122 18,077 696 786 272 306

Men

12,679 10,884 746 843 291 328

Women

8,444 7,193 621 717 242 279

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 2020 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

104,487 $1,002 57,994 $1,087 46,493 $913

16 to 24 years

8,426 617 4,600 640 3,826 594

16 to 19 years

1,169 506 701 518 469 481

20 to 24 years

7,257 640 3,899 662 3,358 610

25 years and over

96,061 1,047 53,394 1,147 42,667 955

25 to 54 years

73,435 1,040 40,835 1,137 32,600 949

25 to 34 years

25,958 918 14,487 963 11,471 867

35 to 44 years

24,526 1,135 13,798 1,239 10,728 1,011

45 to 54 years

22,951 1,144 12,550 1,271 10,400 1,005

55 years and over

22,626 1,073 12,559 1,191 10,066 977

55 to 64 years

18,169 1,090 9,966 1,220 8,203 972

65 years and over

4,457 1,018 2,593 1,034 1,863 998

White

16 years and over

81,005 1,018 46,066 1,116 34,939 930

16 to 24 years

6,715 616 3,786 639 2,928 593

25 years and over

74,290 1,069 42,280 1,173 32,010 971

25 to 54 years

55,936 1,058 31,918 1,154 24,018 968

55 years and over

18,355 1,117 10,362 1,242 7,993 981

Black or African American

16 years and over

13,109 806 6,298 831 6,811 779

16 to 24 years

959 579 474 606 485 552

25 years and over

12,149 840 5,824 871 6,325 810

25 to 54 years

9,590 819 4,575 865 5,015 777

55 years and over

2,559 948 1,249 905 1,311 969

Asian

16 years and over

6,827 1,336 3,771 1,479 3,056 1,141

16 to 24 years

328 781 164 745 164 795

25 years and over

6,499 1,366 3,607 1,519 2,892 1,157

25 to 54 years

5,319 1,427 2,926 1,564 2,393 1,221

55 years and over

1,180 1,035 681 1,105 499 985

Hispanic or Latino ethnicity

16 years and over

18,077 786 10,884 843 7,193 717

16 to 24 years

1,881 582 996 594 885 570

25 years and over

16,196 824 9,888 886 6,308 748

25 to 54 years

13,443 834 8,226 894 5,217 750

55 years and over

2,753 771 1,662 819 1,091 741

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
2019
2nd
2020
2nd
2019
2nd
2020

TOTAL

Management, professional, and related occupations

49,611 48,871 $1,295 $1,356

Management, business, and financial operations occupations

20,621 20,791 1,372 1,442

Professional and related occupations

28,990 28,079 1,239 1,290

Service occupations

16,677 12,189 584 625

Sales and office occupations

23,764 19,857 761 819

Sales and related occupations

9,687 8,167 871 918

Office and administrative support occupations

14,077 11,690 729 784

Natural resources, construction, and maintenance occupations

11,774 9,862 866 906

Farming, fishing, and forestry occupations

948 860 562 601

Construction and extraction occupations

6,615 5,120 863 901

Installation, maintenance, and repair occupations

4,210 3,882 946 1,002

Production, transportation, and material moving occupations

15,742 13,708 731 761

Production occupations

7,969 6,352 752 794

Transportation and material moving occupations

7,773 7,356 712 731

Men

Management, professional, and related occupations

24,037 23,825 1,540 1,606

Management, business, and financial operations occupations

11,076 11,080 1,557 1,665

Professional and related occupations

12,961 12,744 1,527 1,554

Service occupations

7,996 6,128 637 704

Sales and office occupations

9,677 7,752 903 962

Sales and related occupations

5,345 4,489 1,038 1,069

Office and administrative support occupations

4,332 3,263 772 828

Natural resources, construction, and maintenance occupations

11,233 9,382 882 917

Farming, fishing, and forestry occupations

677 655 598 621

Construction and extraction occupations

6,454 4,963 871 903

Installation, maintenance, and repair occupations

4,102 3,763 953 1,004

Production, transportation, and material moving occupations

12,411 10,908 790 814

Production occupations

5,910 4,779 826 864

Transportation and material moving occupations

6,501 6,129 752 774

Women

Management, professional, and related occupations

25,575 25,046 1,117 1,168

Management, business, and financial operations occupations

9,546 9,711 1,176 1,270

Professional and related occupations

16,029 15,335 1,070 1,130

Service occupations

8,681 6,061 530 584

Sales and office occupations

14,087 12,105 718 755

Sales and related occupations

4,342 3,678 711 709

Office and administrative support occupations

9,745 8,427 719 767

Natural resources, construction, and maintenance occupations

540 480 568 676

Farming, fishing, and forestry occupations

271 205 500 530

Construction and extraction occupations

161 157 705 810

Installation, maintenance, and repair occupations

109 119 808 766

Production, transportation, and material moving occupations

3,331 2,799 584 604

Production occupations

2,059 1,572 595 641

Transportation and material moving occupations

1,272 1,227 553 563

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


Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 2nd quarter 2020 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

104,487 $496 $670 $1,002 $1,552 $2,384

Men

57,994 521 717 1,087 1,744 2,627

Women

46,493 465 622 913 1,369 2,023

White

81,005 505 686 1,018 1,572 2,405

Men

46,066 537 734 1,116 1,760 2,674

Women

34,939 474 632 930 1,369 2,031

Black or African American

13,109 432 590 806 1,225 1,871

Men

6,298 447 598 831 1,242 1,898

Women

6,811 420 584 779 1,202 1,848

Asian

6,827 558 793 1,336 2,003 2,912

Men

3,771 604 878 1,479 2,280 3,144

Women

3,056 512 732 1,141 1,749 2,543

Hispanic or Latino ethnicity

18,077 440 577 786 1,219 1,833

Men

10,884 481 601 843 1,294 1,916

Women

7,193 400 527 717 1,101 1,627

EDUCATIONAL ATTAINMENT

Total, 25 years and over

96,061 515 705 1,047 1,621 2,458

Less than a high school diploma

5,320 385 491 630 869 1,183

High school graduates, no college(1)

21,937 460 596 789 1,134 1,606

Some college or associate degree

24,399 502 661 904 1,300 1,816

Bachelor's degree and higher(2)

44,405 687 977 1,416 2,110 3,089

Bachelor's degree only

26,676 631 894 1,304 1,919 2,881

Advanced degree

17,729 824 1,127 1,619 2,390 3,521

Men, 25 years and over

53,394 559 757 1,147 1,815 2,706

Less than a high school diploma

3,743 418 522 685 946 1,299

High school graduates, no college(1)

13,635 503 644 878 1,244 1,806

Some college or associate degree

13,291 567 740 1,014 1,472 1,991

Bachelor's degree and higher(2)

22,725 742 1,105 1,647 2,398 3,471

Bachelor's degree only

14,064 677 1,000 1,480 2,199 3,076

Advanced degree

8,662 901 1,275 1,899 2,866 3,997

Women, 25 years and over

42,667 485 650 955 1,412 2,095

Less than a high school diploma

1,576 324 413 523 670 914

High school graduates, no college(1)

8,302 410 526 682 941 1,284

Some college or associate degree

11,109 461 599 783 1,083 1,463

Bachelor's degree and higher(2)

21,680 652 897 1,253 1,827 2,618

Bachelor's degree only

12,612 605 815 1,150 1,617 2,393

Advanced degree

9,068 779 1,019 1,410 1,984 2,910

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
2019
2nd
2020
2nd
2019
2nd
2020

SEX AND AGE

Total, 16 years and over

23,854 18,187 $277 $316

Men, 16 years and over

8,121 6,472 263 314

16 to 24 years

3,498 2,725 209 262

25 years and over

4,623 3,747 323 381

Women, 16 years and over

15,733 11,715 285 317

16 to 24 years

4,642 3,115 224 239

25 years and over

11,091 8,599 317 367

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

18,716 14,085 279 318

Men

6,363 4,964 262 312

Women

12,353 9,122 288 321

Black or African American

2,871 2,499 275 296

Men

1,010 898 265 300

Women

1,860 1,602 280 294

Asian

1,284 955 283 358

Men

357 343 289 387

Women

927 613 282 343

Hispanic or Latino ethnicity

4,137 3,279 276 314

Men

1,467 1,281 280 330

Women

2,670 1,998 274 304

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 17, 2020