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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) Tuesday, July 18, 2023 			              USDL-23-1586 

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
                                      SECOND QUARTER 2023


Median weekly earnings of the nation's 121.5 million full-time wage and salary workers were
$1,100 in the second quarter of 2023 (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 4.0 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 $1,100 in the second quarter of 2023.
   Women had median weekly earnings of $993, or 84.1 percent of the $1,181 median for men. 
   (See table 2.) 

 --The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 
   84.6 percent as much as their male counterparts, compared with 89.9 percent for Black 
   women, 81.0 percent for Asian women, and 88.3 percent for Hispanic women. (See table 2.) 

 --Among the major race and ethnicity groups, median weekly earnings of Blacks ($913) 
   and Hispanics ($851) working full-time jobs were lower than those of Whites ($1,126) 
   and Asians ($1,449). By sex, median weekly earnings for Black men were $975, or 81.2 
   percent of the median for White men ($1,201). Median earnings for Hispanic men were 
   $892, or 74.3 percent of the median for White men. The difference was less among women, 
   as Black women's median earnings were $877, or 86.3 percent of those for White women 
   ($1,016), and earnings for Hispanic women were $788, or 77.6 percent of those for White 
   women. Earnings of Asian men ($1,617) and women ($1,310) were higher than those of their 
   White counterparts. (See table 2.) 

 --By age, usual weekly earnings were highest for men ages 35 to 64: median weekly earnings 
   were $1,319 for men ages 35 to 44, $1,385 for men ages 45 to 54, and $1,341 for men ages 55 
   to 64. Among women, usual weekly earnings were also highest for workers ages 35 to 64: 
   median weekly earnings were $1,134 for women ages 35 to 44, $1,095 for women ages 45 to 54,
   and $1,043 for women ages 55 to 64. Men and women ages 16 to 24 had the lowest median weekly
   earnings, $714 and $672, respectively. Men's and women's earnings were closer among younger 
   workers than older workers; for example, women ages 16 to 24 earned 94.1 percent as much as 
   men in the same age group, while the women's-to-men's earnings ratio was 79.6 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--$1,751 for men and $1,312 for 
   women. Both men ($777) and women ($675) earned the least when employed in service occupations.
   (See table 4.)

 --By educational attainment, full-time workers age 25 and over without a high school diploma 
   had median weekly earnings of $713, compared with $889 for high school graduates (no college) 
   and $1,588 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 $4,715 or more per week, compared with $3,447 or more for their female counterparts.
   (See table 5.) 

 --Seasonally adjusted median weekly earnings were $1,107 in the second quarter of 2023, little 
   changed from the previous quarter ($1,095). (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 
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.

   If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to
access telecommunications relay services or the information voice phone at: 
(202) 691-5200. This news release is in the public domain and may be reproduced 
without permission.

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
$

2014

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

111,838 62,363 49,475 858 941 760 352 386 312

2nd quarter

113,140 62,963 50,177 863 937 782 354 384 321

3rd quarter

113,854 63,319 50,535 864 944 769 352 385 313

4th quarter

114,286 63,315 50,971 854 943 770 345 382 312

2018

1st quarter

114,418 63,802 50,616 875 956 779 351 384 312

2nd quarter

115,529 64,194 51,336 881 963 783 351 384 313

3rd quarter

116,256 64,448 51,808 891 979 796 354 389 316

4th quarter

116,087 64,154 51,932 897 992 795 355 392 315

2019

1st quarter

117,055 64,742 52,313 899 996 803 355 393 317

2nd quarter

117,390 65,161 52,229 913 1,003 818 358 393 320

3rd quarter

117,533 64,993 52,540 921 1,008 824 360 393 322

4th quarter

118,370 65,147 53,223 935 1,022 842 362 396 327

2020

1st quarter

116,743 64,101 52,642 951 1,058 854 367 409 330

2nd quarter

104,372 57,866 46,506 1,008 1,090 919 393 425 359

3rd quarter

108,935 60,133 48,802 994 1,108 900 384 428 347

4th quarter

111,571 61,600 49,970 983 1,072 894 377 411 342

2021

1st quarter

112,778 61,850 50,928 983 1,082 898 373 410 340

2nd quarter

113,519 62,397 51,123 996 1,096 906 371 408 337

3rd quarter

114,613 63,187 51,427 1,001 1,103 913 367 404 335

4th quarter

116,407 64,336 52,072 1,010 1,104 929 362 396 333

2022

1st quarter

118,154 65,166 52,988 1,032 1,122 937 362 394 329

2nd quarter

118,829 65,404 53,425 1,048 1,147 951 359 393 326

3rd quarter

119,465 65,774 53,691 1,070 1,168 967 362 395 327

4th quarter

119,064 65,910 53,154 1,084 1,177 975 363 394 327

2023

1st quarter

119,911 66,240 53,671 1,095 1,181 992 363 392 329

2nd quarter

121,446 67,234 54,212 1,107 1,185 1,001 365 391 330

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
2022
2nd
2023
In current dollars In constant (1982-84) dollars
2nd
2022
2nd
2023
2nd
2022
2nd
2023

SEX AND AGE

Total, 16 years and over

118,887 121,516 $1,041 $1,100 $356 $362

Men, 16 years and over

65,478 67,310 1,144 1,181 391 388

16 to 24 years

6,144 6,608 707 714 242 235

25 years and over

59,334 60,702 1,211 1,255 414 413

Women, 16 years and over

53,409 54,207 943 993 322 326

16 to 24 years

4,919 5,089 656 672 224 221

25 years and over

48,490 49,117 989 1,050 338 345

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

90,564 91,952 1,068 1,126 365 370

Men

51,073 52,307 1,161 1,201 397 395

Women

39,490 39,645 956 1,016 327 334

Black or African American

15,820 16,631 885 913 303 300

Men

7,684 7,887 953 975 326 321

Women

8,137 8,744 840 877 287 288

Asian

8,045 8,440 1,336 1,449 457 476

Men

4,325 4,684 1,496 1,617 511 531

Women

3,720 3,756 1,182 1,310 404 431

Hispanic or Latino ethnicity

22,488 22,846 812 851 278 280

Men

13,452 13,533 877 892 300 293

Women

9,036 9,313 752 788 257 259

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 2023 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

121,516 $1,100 67,310 $1,181 54,207 $993

16 to 24 years

11,697 698 6,608 714 5,089 672

16 to 19 years

1,565 603 980 618 585 579

20 to 24 years

10,132 712 5,627 732 4,505 687

25 years and over

109,819 1,157 60,702 1,255 49,117 1,050

25 to 54 years

84,494 1,155 46,663 1,247 37,831 1,055

25 to 34 years

30,044 1,042 16,520 1,121 13,524 966

35 to 44 years

28,628 1,229 16,186 1,319 12,442 1,134

45 to 54 years

25,822 1,233 13,958 1,385 11,865 1,095

55 years and over

25,325 1,166 14,039 1,296 11,286 1,032

55 to 64 years

19,991 1,186 10,995 1,341 8,995 1,043

65 years and over

5,334 1,101 3,044 1,161 2,291 999

White

16 years and over

91,952 1,126 52,307 1,201 39,645 1,016

16 to 24 years

8,933 703 5,192 719 3,741 674

25 years and over

83,019 1,177 47,115 1,272 35,904 1,082

25 to 54 years

62,850 1,172 35,611 1,263 27,240 1,086

55 years and over

20,169 1,194 11,504 1,322 8,665 1,065

Black or African American

16 years and over

16,631 913 7,887 975 8,744 877

16 to 24 years

1,625 654 800 648 824 657

25 years and over

15,007 952 7,087 1,026 7,920 898

25 to 54 years

11,854 944 5,627 1,014 6,226 895

55 years and over

3,153 985 1,460 1,128 1,693 925

Asian

16 years and over

8,440 1,449 4,684 1,617 3,756 1,310

16 to 24 years

522 936 307 854 215 983

25 years and over

7,918 1,491 4,377 1,729 3,541 1,328

25 to 54 years

6,476 1,528 3,600 1,744 2,876 1,399

55 years and over

1,442 1,293 777 1,572 665 997

Hispanic or Latino ethnicity

16 years and over

22,846 851 13,533 892 9,313 788

16 to 24 years

3,035 663 1,775 678 1,260 638

25 years and over

19,811 904 11,758 948 8,053 842

25 to 54 years

16,301 910 9,707 949 6,594 870

55 years and over

3,510 874 2,052 947 1,459 742

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
2022
2nd
2023
2nd
2022
2nd
2023

TOTAL

Management, professional, and related occupations

53,386 55,929 $1,459 $1,501

Management, business, and financial operations occupations

22,515 23,892 1,597 1,588

Professional and related occupations

30,871 32,037 1,377 1,443

Service occupations

15,755 16,080 707 718

Sales and office occupations

22,329 21,843 867 914

Sales and related occupations

9,279 9,287 951 1,022

Office and administrative support occupations

13,049 12,555 824 878

Natural resources, construction, and maintenance occupations

11,473 11,741 964 995

Farming, fishing, and forestry occupations

665 601 620 711

Construction and extraction occupations

6,480 7,000 913 982

Installation, maintenance, and repair occupations

4,328 4,139 1,070 1,040

Production, transportation, and material moving occupations

15,944 15,924 807 846

Production occupations

7,385 7,180 833 897

Transportation and material moving occupations

8,559 8,744 790 814

Men

Management, professional, and related occupations

25,680 26,835 1,743 1,751

Management, business, and financial operations occupations

11,714 12,423 1,883 1,805

Professional and related occupations

13,965 14,413 1,627 1,724

Service occupations

7,768 7,881 773 777

Sales and office occupations

8,774 8,863 1,018 1,058

Sales and related occupations

4,960 5,077 1,165 1,187

Office and administrative support occupations

3,814 3,786 918 947

Natural resources, construction, and maintenance occupations

10,951 11,165 975 1,005

Farming, fishing, and forestry occupations

539 467 620 743

Construction and extraction occupations

6,261 6,713 915 987

Installation, maintenance, and repair occupations

4,151 3,984 1,077 1,049

Production, transportation, and material moving occupations

12,305 12,566 873 894

Production occupations

5,391 5,407 914 949

Transportation and material moving occupations

6,914 7,158 832 854

Women

Management, professional, and related occupations

27,707 29,093 1,265 1,312

Management, business, and financial operations occupations

10,800 11,470 1,399 1,403

Professional and related occupations

16,906 17,624 1,185 1,249

Service occupations

7,987 8,199 656 675

Sales and office occupations

13,555 12,980 799 845

Sales and related occupations

4,320 4,211 778 825

Office and administrative support occupations

9,235 8,769 804 849

Natural resources, construction, and maintenance occupations

522 576 782 747

Farming, fishing, and forestry occupations

126 134 619 637

Construction and extraction occupations

219 287 710 807

Installation, maintenance, and repair occupations

176 155 914 837

Production, transportation, and material moving occupations

3,639 3,359 694 725

Production occupations

1,995 1,773 695 749

Transportation and material moving occupations

1,645 1,586 693 710

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 2023 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

121,516 $581 $741 $1,100 $1,735 $2,705

Men

67,310 605 785 1,181 1,892 2,910

Women

54,207 541 700 993 1,524 2,308

White

91,952 589 757 1,126 1,743 2,706

Men

52,307 615 804 1,201 1,893 2,908

Women

39,645 554 712 1,016 1,539 2,300

Black or African American

16,631 513 661 913 1,397 2,111

Men

7,887 540 689 975 1,529 2,283

Women

8,744 500 637 877 1,268 1,916

Asian

8,440 635 898 1,449 2,396 3,827

Men

4,684 683 958 1,617 2,681 3,991

Women

3,756 604 810 1,310 2,007 3,089

Hispanic or Latino ethnicity

22,846 513 649 851 1,253 1,903

Men

13,533 541 682 892 1,308 2,021

Women

9,313 494 610 788 1,169 1,722

EDUCATIONAL ATTAINMENT

Total, 25 years and over

109,819 603 783 1,157 1,811 2,814

Less than a high school diploma

6,227 415 574 713 947 1,274

High school graduates, no college(1)

26,918 548 681 889 1,236 1,756

Some college or associate degree

26,515 591 735 1,010 1,434 2,019

Bachelor's degree and higher(2)

50,159 782 1,083 1,588 2,394 3,818

Bachelor's degree only

30,842 741 1,000 1,467 2,191 3,372

Advanced degree

19,316 902 1,236 1,787 2,712 4,008

Men, 25 years and over

60,702 638 844 1,255 1,959 2,994

Less than a high school diploma

4,300 432 599 761 1,023 1,438

High school graduates, no college(1)

16,592 596 722 984 1,404 1,945

Some college or associate degree

14,303 634 813 1,158 1,635 2,300

Bachelor's degree and higher(2)

25,507 862 1,171 1,811 2,760 4,018

Bachelor's degree only

16,438 814 1,114 1,662 2,503 3,861

Advanced degree

9,069 970 1,363 2,068 3,009 4,715

Women, 25 years and over

49,117 573 730 1,050 1,584 2,392

Less than a high school diploma

1,928 386 509 623 783 965

High school graduates, no college(1)

10,325 488 616 764 1,023 1,365

Some college or associate degree

12,213 541 679 887 1,208 1,620

Bachelor's degree and higher(2)

24,651 737 990 1,425 2,054 3,020

Bachelor's degree only

14,404 692 913 1,280 1,888 2,835

Advanced degree

10,248 850 1,151 1,591 2,313 3,447

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
2022
2nd
2023
2nd
2022
2nd
2023

SEX AND AGE

Total, 16 years and over

22,545 23,096 $340 $358

Men, 16 years and over

8,172 8,062 337 357

16 to 24 years

3,418 3,443 279 283

25 years and over

4,754 4,619 410 433

Women, 16 years and over

14,373 15,033 342 358

16 to 24 years

4,451 4,875 248 274

25 years and over

9,922 10,158 394 420

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

17,278 18,139 343 363

Men

6,060 6,176 343 361

Women

11,218 11,964 343 364

Black or African American

2,811 2,487 322 333

Men

1,143 1,003 317 339

Women

1,667 1,484 327 328

Asian

1,336 1,394 369 371

Men

505 472 384 393

Women

832 922 361 347

Hispanic or Latino ethnicity

4,075 4,279 348 351

Men

1,602 1,483 350 370

Women

2,473 2,796 347 342

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 18, 2023