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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. (EDT) Wednesday, April 15, 2020 	            USDL-20-0611

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
                       FIRST QUARTER 2020


Median weekly earnings of the nation's 115.9 million full-time wage and
salary workers were $957 in the first quarter of 2020 (not seasonally
adjusted), the U.S. Bureau of Labor Statistics reported today. This
was 5.7 percent higher than a year earlier, compared with a gain of
2.1 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 March 2020 Household	       |
 |                          Survey Data	  		               |
 |								       |
 | Current Population Survey (CPS) usual weekly earnings data for      |
 | the first quarter of 2020 reflect the impact on the labor market    |
 | in March 2020 of the coronavirus (COVID-19) and efforts to contain  |
 | the illness. More information on labor market developments in March |
 | is available at						       |
 | www.bls.gov/cps/employment-situation-covid19-faq-march-2020.pdf.    |
 |_____________________________________________________________________|


Highlights from the first-quarter data:

   --Median weekly earnings of full-time workers were $957 in the first
     quarter of 2020. Women had median weekly earnings of $857, or 80.4
     percent of the $1,066 median for men. (See table 2.)

   --The women's-to-men's earnings ratio varied by race and ethnicity.
     White women earned 79.7 percent as much as their male counterparts,
     compared with 90.2 percent for Black women, 81.3 percent for Asian
     women, and 88.9 percent for Hispanic women. (See table 2.)

   --Among the major race and ethnicity groups, median weekly earnings
     of Blacks ($775) and Hispanics ($722) working full-time jobs were
     lower than those of Whites ($979) and Asians ($1,221). By sex,
     median weekly earnings for Black men were $823, or 75.1 percent
     of the median for White men ($1,096). Median earnings for Hispanic
     men were $763, or 69.6 percent of the median for White men. The
     difference was less among women, as Black women's median earnings
     were $742, or 85.0 percent of those for White women ($873), and
     earnings for Hispanic women were $678, or 77.7 percent of those
     for White women. Earnings of Asian men ($1,360) and women ($1,106)
     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 $1,197 for men ages 35 to 44, $1,245 for men 
     ages 45 to 54, and $1,223 for men ages 55 to 64. Usual weekly
     earnings were also highest for women ages 35 to 64: median weekly
     earnings were $942 for women ages 35 to 44, $927 for women ages 
     45 to 54, and $922 for women ages 55 to 64. Men and women ages 16
     to 24 had the lowest median weekly earnings, $593 and $583,
     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--$1,556 for men and $1,138 for women. Men and
     women employed in service occupations earned the least, $666 and 
     $559, respectively. (See table 4.)

   --By educational attainment, full-time workers age 25 and over without
     a high school diploma had median weekly earnings of $609, compared
     with $768 for high school graduates (no college) and $1,385 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 $4,406 or more per
     week, compared with $2,909 or more for their female counterparts.
     (See table 5.)

   --Seasonally adjusted median weekly earnings increased to $949 in
     the first quarter of 2020. (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 this news release.) Seasonally adjusted   |
 | constant (1982-84) dollar estimates back to the first quarter of 2015   |
 | 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 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

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

103,928 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

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
2019
1st
2020
In current dollars In constant (1982-84) dollars
1st
2019
1st
2020
1st
2019
1st
2020

SEX AND AGE

Total, 16 years and over

116,123 115,918 $905 $957 $358 $370

Men, 16 years and over

64,075 63,549 1,004 1,066 397 413

16 to 24 years

5,546 5,251 605 593 239 230

25 years and over

58,529 58,297 1,062 1,131 420 438

Women, 16 years and over

52,047 52,370 806 857 319 332

16 to 24 years

4,702 4,428 539 583 213 226

25 years and over

47,345 47,941 846 894 334 346

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

89,183 89,310 935 979 370 379

Men

50,645 49,898 1,033 1,096 409 424

Women

38,537 39,412 826 873 327 338

Black or African American

15,231 14,902 737 775 291 300

Men

7,168 7,065 772 823 305 319

Women

8,063 7,837 709 742 280 287

Asian

7,792 7,736 1,157 1,221 457 473

Men

4,187 4,404 1,299 1,360 514 527

Women

3,606 3,332 1,017 1,106 402 428

Hispanic or Latino ethnicity

20,821 21,153 696 722 275 279

Men

12,400 12,470 728 763 288 295

Women

8,422 8,683 631 678 250 262

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 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

115,918 $957 63,549 $1,066 52,370 $857

16 to 24 years

9,680 588 5,251 593 4,428 583

16 to 19 years

1,316 477 705 483 611 464

20 to 24 years

8,364 605 4,546 609 3,818 600

25 years and over

106,239 1,000 58,297 1,131 47,941 894

25 to 54 years

81,281 988 44,625 1,109 36,656 894

25 to 34 years

29,534 872 16,232 924 13,302 807

35 to 44 years

26,628 1,080 14,852 1,197 11,776 942

45 to 54 years

25,118 1,101 13,541 1,245 11,578 927

55 years and over

24,958 1,048 13,672 1,198 11,285 896

55 to 64 years

19,881 1,082 10,812 1,223 9,068 922

65 years and over

5,077 938 2,860 1,098 2,217 774

White

16 years and over

89,310 979 49,898 1,096 39,412 873

16 to 24 years

7,561 599 4,176 605 3,385 592

25 years and over

81,749 1,023 45,722 1,154 36,026 910

25 to 54 years

61,655 1,006 34,500 1,128 27,155 906

55 years and over

20,094 1,100 11,223 1,266 8,871 926

Black or African American

16 years and over

14,902 775 7,065 823 7,837 742

16 to 24 years

1,205 467 587 457 618 501

25 years and over

13,698 811 6,478 880 7,219 768

25 to 54 years

10,838 815 5,168 891 5,670 767

55 years and over

2,860 797 1,311 836 1,549 769

Asian

16 years and over

7,736 1,221 4,404 1,360 3,332 1,106

16 to 24 years

405 749 217 849 188 738

25 years and over

7,331 1,242 4,187 1,383 3,144 1,140

25 to 54 years

5,915 1,333 3,366 1,429 2,548 1,200

55 years and over

1,416 1,010 820 1,142 596 875

Hispanic or Latino ethnicity

16 years and over

21,153 722 12,470 763 8,683 678

16 to 24 years

2,459 559 1,363 564 1,096 552

25 years and over

18,694 759 11,107 796 7,587 702

25 to 54 years

15,640 759 9,258 796 6,382 701

55 years and over

3,054 761 1,848 801 1,206 707

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
2019
1st
2020
1st
2019
1st
2020

TOTAL

Management, professional, and related occupations

50,018 51,593 $1,285 $1,332

Management, business, and financial operations occupations

20,632 21,394 1,427 1,448

Professional and related occupations

29,387 30,199 1,212 1,235

Service occupations

16,134 15,378 587 605

Sales and office occupations

23,527 22,119 753 797

Sales and related occupations

9,906 9,607 805 877

Office and administrative support occupations

13,621 12,513 731 763

Natural resources, construction, and maintenance occupations

11,325 11,100 823 880

Farming, fishing, and forestry occupations

893 842 573 579

Construction and extraction occupations

6,207 6,007 817 883

Installation, maintenance, and repair occupations

4,225 4,251 903 958

Production, transportation, and material moving occupations

15,119 15,729 718 738

Production occupations

7,852 7,324 729 760

Transportation and material moving occupations

7,267 8,404 706 719

Men

Management, professional, and related occupations

24,258 24,793 1,559 1,556

Management, business, and financial operations occupations

11,022 11,188 1,656 1,650

Professional and related occupations

13,236 13,605 1,497 1,498

Service occupations

7,485 7,332 672 666

Sales and office occupations

9,548 8,752 861 962

Sales and related occupations

5,636 5,379 943 1,046

Office and administrative support occupations

3,912 3,373 779 845

Natural resources, construction, and maintenance occupations

10,875 10,465 836 897

Farming, fishing, and forestry occupations

731 622 580 601

Construction and extraction occupations

6,054 5,783 820 891

Installation, maintenance, and repair occupations

4,091 4,060 905 970

Production, transportation, and material moving occupations

11,910 12,207 771 789

Production occupations

5,749 5,377 801 838

Transportation and material moving occupations

6,160 6,829 738 753

Women

Management, professional, and related occupations

25,761 26,799 1,100 1,138

Management, business, and financial operations occupations

9,610 10,206 1,177 1,255

Professional and related occupations

16,151 16,593 1,047 1,066

Service occupations

8,649 8,046 517 559

Sales and office occupations

13,979 13,367 705 727

Sales and related occupations

4,270 4,227 648 707

Office and administrative support occupations

9,710 9,140 717 734

Natural resources, construction, and maintenance occupations

450 635 622 653

Farming, fishing, and forestry occupations

162 220 516 531

Construction and extraction occupations

154 224 598 624

Installation, maintenance, and repair occupations

134 191 855 804

Production, transportation, and material moving occupations

3,209 3,522 583 619

Production occupations

2,103 1,947 582 619

Transportation and material moving occupations

1,106 1,575 586 620

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 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

115,918 $468 $630 $957 $1,514 $2,320

Men

63,549 493 686 1,066 1,677 2,625

Women

52,370 434 592 857 1,319 1,967

White

89,310 479 648 979 1,543 2,370

Men

49,898 504 706 1,096 1,735 2,699

Women

39,412 446 598 873 1,328 1,943

Black or African American

14,902 400 562 775 1,181 1,805

Men

7,065 417 586 823 1,271 1,876

Women

7,837 386 538 742 1,082 1,674

Asian

7,736 506 735 1,221 1,924 2,976

Men

4,404 513 787 1,360 2,229 3,174

Women

3,332 496 675 1,106 1,746 2,524

Hispanic or Latino ethnicity

21,153 413 538 722 1,114 1,643

Men

12,470 437 565 763 1,195 1,784

Women

8,683 387 511 678 985 1,479

EDUCATIONAL ATTAINMENT

Total, 25 years and over

106,239 491 670 1,000 1,565 2,410

Less than a high school diploma

6,314 356 476 609 804 1,227

High school graduates, no college(1)

26,056 431 577 768 1,114 1,567

Some college or associate degree

26,831 484 622 880 1,292 1,829

Bachelor's degree and higher(2)

47,038 661 937 1,385 2,098 3,104

Bachelor's degree only

29,131 620 877 1,263 1,903 2,882

Advanced degree

17,907 761 1,068 1,604 2,411 3,649

Men, 25 years and over

58,297 524 729 1,131 1,761 2,746

Less than a high school diploma

4,194 394 506 661 929 1,336

High school graduates, no college(1)

15,861 485 621 858 1,234 1,719

Some college or associate degree

14,404 533 714 1,014 1,472 2,009

Bachelor's degree and higher(2)

23,838 725 1,064 1,610 2,405 3,649

Bachelor's degree only

15,171 676 979 1,473 2,239 3,151

Advanced degree

8,667 855 1,255 1,889 2,897 4,406

Women, 25 years and over

47,941 459 611 894 1,362 2,020

Less than a high school diploma

2,120 286 400 527 677 825

High school graduates, no college(1)

10,195 385 502 659 884 1,253

Some college or associate degree

12,427 450 575 754 1,058 1,487

Bachelor's degree and higher(2)

23,200 618 862 1,181 1,768 2,520

Bachelor's degree only

13,960 585 792 1,101 1,586 2,296

Advanced degree

9,240 734 963 1,372 2,005 2,909

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
1st
2019
1st
2020
1st
2019
1st
2020

SEX AND AGE

Total, 16 years and over

24,098 24,779 $269 $293

Men, 16 years and over

8,072 8,682 266 285

16 to 24 years

3,413 3,781 209 232

25 years and over

4,658 4,901 329 349

Women, 16 years and over

16,026 16,097 271 298

16 to 24 years

4,425 4,666 188 217

25 years and over

11,601 11,431 317 344

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

19,035 19,302 273 292

Men

6,226 6,605 269 281

Women

12,808 12,696 275 298

Black or African American

2,676 3,147 244 285

Men

1,001 1,190 246 290

Women

1,675 1,957 243 280

Asian

1,328 1,290 300 314

Men

475 486 284 300

Women

853 803 307 334

Hispanic or Latino ethnicity

4,157 4,484 273 296

Men

1,449 1,597 284 293

Women

2,707 2,888 268 298

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: April 15, 2020