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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 22, 2025 			               USDL-25-1181 

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 2025


Median weekly earnings of the nation's 121.5 million full-time wage and salary workers were
$1,196 in the second quarter of 2025 (not seasonally adjusted), the U.S. Bureau of Labor
Statistics reported today. This was 4.6 percent higher than a year earlier, compared with a
gain of 2.4 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. 

Highlights from the second-quarter data:

 --Median weekly earnings of full-time workers were $1,196 in the second quarter of 2025.
   Women had median weekly earnings of $1,078, or 81.1 percent of the $1,330 median for men.
   (See table 2.)

 --The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 81.1
   percent as much as their male counterparts, compared with 89.5 percent for Black women,
   77.5 percent for Asian women, and 87.6 percent for Hispanic women. (See table 2.)

 --Among the major race and ethnicity groups, median earnings of Hispanics who worked full
   time ($947) were lower than those of Blacks ($991), Whites ($1,225), and Asians ($1,553).
   By sex, median weekly earnings for Black men were $1,053, or 77.6 percent of the median for
   White men ($1,357). Median earnings for Hispanic men were $1,005, or 74.1 percent of the
   median for White men. The differences were smaller among women, as Black women's median
   earnings were $942, or 85.6 percent of those for White women ($1,100), and earnings for
   Hispanic women were $880, or 80.0 percent of those for White women. Earnings of Asian men
   ($1,759) and women ($1,363) were higher than those of their White counterparts. (See table
   2.)

 --By age, usual weekly earnings were highest for men ages 35 to 54: median weekly earnings
   were $1,502 for men ages 35 to 44 and $1,520 for men ages 45 to 54. Among women, usual
   weekly earnings were also highest for workers ages 35 to 54: median weekly earnings were
   $1,190 for women ages 35 to 44 and $1,189 for women ages 45 to 54. Men and women ages 16 to
   24 had the lowest median weekly earnings, $797 and $712, respectively. Men's and women's
   earnings were closer among younger workers than older workers; for example, women ages 16
   to 24 earned 89.3 percent as much as men in the same age group, while the women's-to-men's
   earnings ratio was 78.2 percent for those age 55 and over. (See table 3.)

 --Among the major occupational groups, people employed full time in management, professional,
   and related occupations had the highest median weekly earnings--$1,907 for men and $1,429
   for women. People employed in service occupations earned the least--$882 for men and $706
   for women. (See table 4.)

 --By educational attainment, full-time workers age 25 and over without a high school diploma
   had median weekly earnings of $750, high school graduates (no college) had earnings of
   $960, and those holding at least a bachelor's degree had earnings of $1,732. Among college
   graduates with advanced degrees (master's, professional, and doctoral degrees), the highest
   earning 10 percent of male workers made $5,346 or more per week, and their female
   counterparts made $3,484 or more. (See table 5.)

 --Seasonally adjusted median weekly earnings were $1,206 in the second quarter of 2025,
   little changed from the previous quarter. (See table 1.)




Technical Note


   The estimates in this news 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 people, 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 people 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
$

2016

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

117,111 64,772 52,338 899 996 803 355 393 317

2nd quarter

117,299 65,071 52,228 914 1,003 818 358 393 320

3rd quarter

117,501 65,010 52,491 921 1,007 825 360 393 322

4th quarter

118,450 65,202 53,248 934 1,022 842 362 396 327

2020

1st quarter

116,928 64,260 52,668 951 1,060 854 367 409 330

2nd quarter

104,312 57,785 46,527 1,008 1,090 919 393 425 358

3rd quarter

108,836 60,079 48,757 995 1,107 900 384 427 347

4th quarter

111,505 61,535 49,970 983 1,071 893 376 410 342

2021

1st quarter

113,029 62,076 50,953 984 1,084 898 373 411 341

2nd quarter

113,432 62,286 51,146 996 1,097 906 371 409 337

3rd quarter

114,525 63,146 51,379 1,002 1,103 914 367 404 335

4th quarter

116,281 64,210 52,071 1,008 1,102 927 362 395 332

2022

1st quarter

118,487 65,473 53,014 1,033 1,124 937 363 394 329

2nd quarter

118,718 65,269 53,449 1,048 1,148 952 359 394 326

3rd quarter

119,407 65,765 53,642 1,071 1,168 969 362 395 328

4th quarter

118,844 65,690 53,154 1,081 1,174 971 362 393 325

2023

1st quarter

120,238 66,534 53,704 1,097 1,182 994 364 392 330

2nd quarter

121,336 67,089 54,247 1,108 1,185 1,003 365 390 330

3rd quarter

121,251 66,600 54,651 1,119 1,211 1,004 366 396 328

4th quarter

120,755 66,534 54,221 1,139 1,228 1,022 370 399 332

2024

1st quarter

120,244 65,844 54,400 1,135 1,223 1,021 365 393 328

2nd quarter

119,770 65,816 53,954 1,151 1,257 1,029 368 401 329

3rd quarter

119,912 65,866 54,046 1,166 1,268 1,053 371 404 335

4th quarter

120,257 66,211 54,046 1,185 1,299 1,073 375 410 339

2025

1st quarter

122,001 67,085 54,915 1,192 1,303 1,092 373 408 342

2nd quarter

121,414 67,024 54,389 1,206 1,333 1,094 376 415 341

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
2024
2nd
2025
In current dollars In constant (1982-84) dollars
2nd
2024
2nd
2025
2nd
2024
2nd
2025

SEX AND AGE

Total, 16 years and over

119,937 121,469 $1,143 $1,196 $364 $372

Men, 16 years and over

66,023 67,127 1,253 1,330 399 414

16 to 24 years

6,021 6,091 771 797 246 248

25 years and over

60,002 61,037 1,338 1,396 426 434

Women, 16 years and over

53,915 54,342 1,017 1,078 324 335

16 to 24 years

4,884 4,855 695 712 221 221

25 years and over

49,031 49,487 1,078 1,138 343 354

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

90,152 90,799 1,167 1,225 372 381

Men

50,834 51,052 1,281 1,357 408 422

Women

39,318 39,747 1,037 1,100 330 342

Black or African American

16,570 16,228 941 991 300 308

Men

7,962 8,123 979 1,053 312 327

Women

8,607 8,105 906 942 289 293

Asian

8,581 9,694 1,500 1,553 478 483

Men

4,774 5,366 1,608 1,759 512 547

Women

3,807 4,328 1,337 1,363 426 424

Hispanic or Latino ethnicity

23,649 24,417 903 947 288 295

Men

14,072 14,425 963 1,005 307 313

Women

9,577 9,992 831 880 265 274

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. People 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 2025 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

121,469 $1,196 67,127 $1,330 54,342 $1,078

16 to 24 years

10,945 758 6,091 797 4,855 712

16 to 19 years

1,505 640 903 700 602 594

20 to 24 years

9,441 782 5,188 816 4,253 738

25 years and over

110,524 1,264 61,037 1,396 49,487 1,138

25 to 54 years

85,213 1,262 47,270 1,391 37,943 1,146

25 to 34 years

30,034 1,139 16,669 1,198 13,366 1,055

35 to 44 years

29,629 1,351 16,679 1,502 12,950 1,190

45 to 54 years

25,549 1,362 13,923 1,520 11,627 1,189

55 years and over

25,311 1,270 13,767 1,413 11,544 1,105

55 to 64 years

19,832 1,296 10,666 1,417 9,165 1,134

65 years and over

5,480 1,198 3,100 1,393 2,379 1,031

White

16 years and over

90,799 1,225 51,052 1,357 39,747 1,100

16 to 24 years

8,456 771 4,760 812 3,696 720

25 years and over

82,343 1,303 46,293 1,423 36,050 1,154

25 to 54 years

62,531 1,295 35,270 1,411 27,261 1,160

55 years and over

19,813 1,328 11,023 1,467 8,790 1,133

Black or African American

16 years and over

16,228 991 8,123 1,053 8,105 942

16 to 24 years

1,274 668 669 719 605 609

25 years and over

14,954 1,020 7,454 1,099 7,500 970

25 to 54 years

11,768 1,015 5,982 1,085 5,785 975

55 years and over

3,187 1,069 1,472 1,154 1,715 921

Asian

16 years and over

9,694 1,553 5,366 1,759 4,328 1,363

16 to 24 years

577 892 308 898 269 867

25 years and over

9,117 1,647 5,058 1,840 4,059 1,451

25 to 54 years

7,378 1,754 4,117 1,890 3,261 1,523

55 years and over

1,739 1,268 941 1,371 799 1,131

Hispanic or Latino ethnicity

16 years and over

24,417 947 14,425 1,005 9,992 880

16 to 24 years

2,688 731 1,653 768 1,035 691

25 years and over

21,729 993 12,772 1,069 8,957 908

25 to 54 years

17,972 992 10,574 1,066 7,398 916

55 years and over

3,757 997 2,197 1,078 1,559 865

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. People 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
2024
2nd
2025
2nd
2024
2nd
2025

TOTAL

Management, professional, and related occupations

55,612 56,868 $1,579 $1,643

Management, business, and financial operations occupations

24,018 24,001 1,721 1,757

Professional and related occupations

31,594 32,866 1,505 1,568

Service occupations

16,195 16,305 742 768

Sales and office occupations

21,061 21,038 958 1,006

Sales and related occupations

9,041 8,664 1,042 1,132

Office and administrative support occupations

12,021 12,374 914 974

Natural resources, construction, and maintenance occupations

11,437 11,248 1,024 1,065

Farming, fishing, and forestry occupations

626 800 700 724

Construction and extraction occupations

6,668 6,264 1,007 1,028

Installation, maintenance, and repair occupations

4,144 4,184 1,147 1,178

Production, transportation, and material moving occupations

15,632 16,010 884 925

Production occupations

6,963 6,859 921 981

Transportation and material moving occupations

8,669 9,151 848 891

Men

Management, professional, and related occupations

26,641 27,272 1,877 1,907

Management, business, and financial operations occupations

12,245 12,552 1,899 1,907

Professional and related occupations

14,396 14,720 1,843 1,906

Service occupations

7,520 7,856 809 882

Sales and office occupations

8,901 8,880 1,157 1,162

Sales and related occupations

5,212 5,214 1,321 1,215

Office and administrative support occupations

3,688 3,665 1,012 1,083

Natural resources, construction, and maintenance occupations

10,867 10,653 1,053 1,094

Farming, fishing, and forestry occupations

487 605 699 779

Construction and extraction occupations

6,396 6,015 1,016 1,063

Installation, maintenance, and repair occupations

3,984 4,033 1,168 1,190

Production, transportation, and material moving occupations

12,094 12,467 951 981

Production occupations

5,210 5,139 998 1,064

Transportation and material moving occupations

6,883 7,328 901 928

Women

Management, professional, and related occupations

28,971 29,595 1,389 1,429

Management, business, and financial operations occupations

11,773 11,450 1,527 1,554

Professional and related occupations

17,198 18,146 1,287 1,352

Service occupations

8,675 8,450 706 706

Sales and office occupations

12,160 12,158 875 942

Sales and related occupations

3,828 3,450 876 973

Office and administrative support occupations

8,332 8,708 874 932

Natural resources, construction, and maintenance occupations

570 595 790 787

Farming, fishing, and forestry occupations

138 195 705 617

Construction and extraction occupations

272 249 804 839

Installation, maintenance, and repair occupations

160 151 850 1,076

Production, transportation, and material moving occupations

3,538 3,544 741 771

Production occupations

1,753 1,720 739 782

Transportation and material moving occupations

1,786 1,823 742 761

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 2025 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

121,469 $615 $806 $1,196 $1,887 $2,901

Men

67,127 653 867 1,330 2,077 3,148

Women

54,342 583 756 1,078 1,659 2,489

White

90,799 627 823 1,225 1,892 2,901

Men

51,052 671 890 1,357 2,088 3,169

Women

39,747 591 764 1,100 1,660 2,481

Black or African American

16,228 579 715 991 1,499 2,240

Men

8,123 606 738 1,053 1,561 2,284

Women

8,105 537 684 942 1,398 2,123

Asian

9,694 667 940 1,553 2,531 3,845

Men

5,366 698 1,013 1,759 2,899 4,044

Women

4,328 644 884 1,363 2,297 3,153

Hispanic or Latino ethnicity

24,417 557 702 947 1,473 2,241

Men

14,425 584 729 1,005 1,568 2,479

Women

9,992 525 665 880 1,300 1,898

EDUCATIONAL ATTAINMENT

Total, 25 years and over

110,524 644 853 1,264 1,920 2,930

Less than a high school diploma

5,935 490 599 750 982 1,341

High school graduates, no college(1)

25,948 590 728 960 1,399 1,925

Some college or associate degree

26,394 620 789 1,086 1,566 2,187

Bachelor's degree and higher(2)

52,247 833 1,160 1,732 2,570 3,846

Bachelor's degree only

31,629 772 1,061 1,559 2,319 3,476

Advanced degree

20,618 959 1,368 1,912 2,905 4,208

Men, 25 years and over

61,037 685 915 1,396 2,173 3,318

Less than a high school diploma

4,024 500 641 794 1,077 1,499

High school graduates, no college(1)

16,443 633 787 1,078 1,532 2,120

Some college or associate degree

14,177 686 889 1,240 1,797 2,506

Bachelor's degree and higher(2)

26,393 900 1,326 1,912 2,910 4,356

Bachelor's degree only

16,632 835 1,199 1,771 2,690 3,900

Advanced degree

9,762 1,087 1,558 2,295 3,404 5,346

Women, 25 years and over

49,487 605 790 1,138 1,745 2,522

Less than a high school diploma

1,911 482 553 669 823 989

High school graduates, no college(1)

9,505 514 659 819 1,089 1,545

Some college or associate degree

12,217 580 726 949 1,286 1,768

Bachelor's degree and higher(2)

25,854 780 1,055 1,521 2,201 3,106

Bachelor's degree only

14,998 736 979 1,355 1,949 2,880

Advanced degree

10,856 898 1,234 1,725 2,490 3,484

Footnotes
(1) Includes people with a high school diploma or equivalent.
(2) Includes people 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. People 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
2024
2nd
2025
2nd
2024
2nd
2025

SEX AND AGE

Total, 16 years and over

24,586 25,133 $379 $396

Men, 16 years and over

8,959 9,085 363 389

16 to 24 years

3,856 3,815 289 307

25 years and over

5,103 5,270 427 474

Women, 16 years and over

15,627 16,048 388 400

16 to 24 years

4,749 4,733 285 287

25 years and over

10,878 11,315 444 470

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

19,515 19,279 378 397

Men

7,020 6,801 362 389

Women

12,495 12,478 387 401

Black or African American

2,598 3,108 369 384

Men

1,049 1,153 356 353

Women

1,549 1,956 387 394

Asian

1,384 1,531 402 433

Men

471 622 380 479

Women

913 909 411 407

Hispanic or Latino ethnicity

4,540 4,929 375 385

Men

1,638 1,767 360 387

Women

2,902 3,162 381 384

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. People 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 22, 2025