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Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (EDT) Wednesday, October 16, 2019 		  USDL-19-1818

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
				THIRD QUARTER 2019


Median weekly earnings of the nation's 118.4 million full-time wage and salary 
workers were $919 in the third quarter of 2019 (not seasonally adjusted), the 
U.S. Bureau of Labor Statistics reported today. This was 3.6 percent higher than 
a year earlier, compared with a gain of 1.8 percent in the Consumer Price Index 
for All Urban Consumers (CPI-U) over the same period.

Data on usual weekly earnings are collected as part of the Current Population 
Survey, a nationwide sample survey of households in which respondents are asked, 
among other things, how much each wage and salary worker usually earns. (See the 
Technical Note in this news release.) Data shown in this news release are not 
seasonally adjusted unless otherwise specified.

Highlights from the third-quarter data:

   --Median weekly earnings of full-time workers were $919 in the third quarter 
     of 2019. Women had median weekly earnings of $825, or 82.3 percent of the 
     $1,002 median for men. (See table 2.)

   --The women's-to-men's earnings ratio varied by race and ethnicity. White
     women earned 82.2 percent as much as their male counterparts, compared 
     with 88.9 percent for Black women, 83.7 percent for Asian women, and 87.3 
     percent for Hispanic women. (See table 2.)

   --Among the major race and ethnicity groups, median weekly earnings of Blacks 
     ($727) and Hispanics ($718) working at full-time jobs were lower than those 
     of Whites ($943) and Asians ($1,247). By sex, median weekly earnings for
     Black men were $768, or 74.9 percent of the median for White men ($1,025). 
     Median earnings for Hispanic men were $757, or 73.9 percent of the median
     for White men. The difference was less among women, as Black women's median 
     earnings were $683, or 81.0 percent of those for White women ($843), and 
     earnings for Hispanic women were $661, or 78.4 percent of those for White 
     women. Earnings of Asian men ($1,360) and women ($1,138) 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 $1,143 for men ages 35 to 44, $1,184 for men ages 45 to 54, 
     and $1,153 for men ages 55 to 64. Usual weekly earnings were highest for 
     women ages 35 to 54: median weekly earnings were $925 for women ages 35 to 
     44, and $926 for women ages 45 to 54. Men and women ages 16 to 24 had the 
     lowest median weekly earnings, $601 and $538, 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--$1,533 for men and $1,143 for women. Men and women 
     employed in service jobs earned the least, $658 and $552, respectively. 
     (See table 4.)

   --By educational attainment, full-time workers age 25 and over without a 
     high school diploma had median weekly earnings of $606, compared with $749 
     for high school graduates (no college) and $1,383 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 $3,922 or more per week, compared with 
     $2,892 or more for their female counterparts. (See table 5.)

   --Seasonally adjusted median weekly earnings edged up to $923 in the third 
     quarter of 2019. (See table 1.)

   __________________________________________________________________________
  |                                                                          |
  |        Revision of Seasonally Adjusted Usual Weekly Earnings Data        |
  |                                                                          |
  |The Usual Weekly Earnings news release for the fourth quarter of 2019,    |
  |scheduled for release in January 2020, will incorporate annual revisions  |
  |to seasonally adjusted data for the number of full-time wage and salary   |
  |workers and median weekly earnings in current dollars. (See table 1.)     |
  |Estimates for constant (1982-84) dollar median weekly earnings also will  |
  |be affected by revisions to the current dollar series. Seasonally adjusted|
  |estimates back to the first quarter of 2015 will be subject 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
$

2010

3rd quarter

100,412 55,620 44,792 746 821 670 342 377 308

4th quarter

99,958 55,486 44,472 750 826 676 341 376 308

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

108,486 60,364 48,122 801 886 724 341 377 307

2nd quarter

108,544 60,400 48,144 803 890 726 339 376 306

3rd quarter

109,269 60,977 48,292 810 896 727 341 377 306

4th quarter

110,049 61,273 48,776 822 904 730 345 380 307

2016

1st quarter

110,427 61,627 48,799 823 903 743 346 380 312

2nd quarter

110,929 61,787 49,142 827 914 744 345 382 311

3rd quarter

111,566 62,082 49,483 833 917 750 346 381 312

4th quarter

111,463 62,249 49,214 846 924 760 349 382 314

2017

1st quarter

111,978 62,462 49,516 857 940 759 351 385 311

2nd quarter

113,118 62,942 50,176 862 939 780 353 385 320

3rd quarter

113,623 63,155 50,468 865 943 771 353 385 314

4th quarter

114,372 63,377 50,996 854 943 771 345 381 312

2018

1st quarter

114,678 64,007 50,671 874 955 776 350 383 311

2nd quarter

115,481 64,136 51,345 880 964 780 351 385 312

3rd quarter

115,945 64,198 51,747 893 980 801 355 389 318

4th quarter

116,160 64,237 51,923 897 991 796 355 392 315

2019

1st quarter

117,327 64,964 52,362 898 994 800 355 392 316

2nd quarter

117,279 65,033 52,245 911 1,005 812 357 394 318

3rd quarter

117,230 64,748 52,482 923 1,010 827 360 394 323

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
3rd
2018
3rd
2019
In current dollars In constant (1982-84) dollars
3rd
2018
3rd
2019
3rd
2018
3rd
2019

SEX AND AGE

Total, 16 years and over

117,184 118,358 $887 $919 $352 $358

Men, 16 years and over

65,216 65,655 973 1,002 386 391

16 to 24 years

6,363 6,493 575 601 228 234

25 years and over

58,853 59,162 1,033 1,070 410 417

Women, 16 years and over

51,968 52,703 796 825 316 322

16 to 24 years

5,034 5,231 515 538 204 210

25 years and over

46,934 47,472 841 877 333 342

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

90,067 90,557 915 943 363 368

Men

51,339 51,479 1,004 1,025 398 399

Women

38,728 39,078 825 843 327 328

Black or African American

15,338 15,843 686 727 272 283

Men

7,461 7,552 726 768 288 299

Women

7,877 8,291 631 683 250 266

Asian

7,757 7,773 1,128 1,247 447 486

Men

4,281 4,356 1,252 1,360 497 530

Women

3,477 3,417 965 1,138 382 443

Hispanic or Latino ethnicity

20,501 21,472 689 718 273 280

Men

12,407 12,783 722 757 286 295

Women

8,093 8,688 621 661 246 258

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, 3rd quarter 2019 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

118,358 $919 65,655 $1,002 52,703 $825

16 to 24 years

11,724 572 6,493 601 5,231 538

16 to 19 years

1,768 487 1,012 507 756 439

20 to 24 years

9,956 592 5,481 619 4,475 559

25 years and over

106,634 975 59,162 1,070 47,472 877

25 to 54 years

81,493 969 45,317 1,047 36,177 883

25 to 34 years

29,538 858 16,476 899 13,062 806

35 to 44 years

27,001 1,039 15,210 1,143 11,791 925

45 to 54 years

24,954 1,058 13,630 1,184 11,323 926

55 years and over

25,141 991 13,846 1,143 11,295 854

55 to 64 years

19,997 999 10,853 1,153 9,145 855

65 years and over

5,144 966 2,993 1,079 2,151 846

White

16 years and over

90,557 943 51,479 1,025 39,078 843

16 to 24 years

8,940 580 5,060 609 3,880 541

25 years and over

81,617 998 46,419 1,104 35,198 895

25 to 54 years

61,309 988 34,962 1,070 26,347 901

55 years and over

20,309 1,030 11,457 1,183 8,851 877

Black or African American

16 years and over

15,843 727 7,552 768 8,291 683

16 to 24 years

1,650 527 811 577 839 512

25 years and over

14,193 758 6,741 817 7,452 707

25 to 54 years

11,227 756 5,357 824 5,871 702

55 years and over

2,965 771 1,384 798 1,581 723

Asian

16 years and over

7,773 1,247 4,356 1,360 3,417 1,138

16 to 24 years

512 683 274 710 238 652

25 years and over

7,261 1,299 4,082 1,440 3,179 1,158

25 to 54 years

5,944 1,356 3,372 1,479 2,572 1,230

55 years and over

1,318 991 711 1,237 607 865

Hispanic or Latino ethnicity

16 years and over

21,472 718 12,783 757 8,688 661

16 to 24 years

2,757 546 1,596 578 1,161 519

25 years and over

18,715 749 11,187 785 7,528 697

25 to 54 years

15,692 745 9,436 783 6,256 694

55 years and over

3,022 762 1,751 797 1,271 708

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
3rd
2018
3rd
2019
3rd
2018
3rd
2019

TOTAL

Management, professional, and related occupations

48,739 50,175 $1,243 $1,322

Management, business, and financial operations occupations

19,658 20,550 1,348 1,421

Professional and related occupations

29,081 29,624 1,184 1,246

Service occupations

16,969 17,195 573 595

Sales and office occupations

24,265 23,661 757 764

Sales and related occupations

10,467 9,883 828 824

Office and administrative support occupations

13,798 13,778 726 741

Natural resources, construction, and maintenance occupations

11,806 11,789 813 875

Farming, fishing, and forestry occupations

933 879 578 576

Construction and extraction occupations

6,522 6,476 811 879

Installation, maintenance, and repair occupations

4,351 4,434 900 933

Production, transportation, and material moving occupations

15,406 15,539 700 724

Production occupations

7,642 7,862 705 738

Transportation and material moving occupations

7,764 7,677 695 710

Men

Management, professional, and related occupations

23,792 24,327 1,460 1,533

Management, business, and financial operations occupations

10,663 11,074 1,530 1,570

Professional and related occupations

13,129 13,253 1,412 1,495

Service occupations

8,396 8,297 642 658

Sales and office occupations

9,796 9,640 869 854

Sales and related occupations

5,962 5,481 960 955

Office and administrative support occupations

3,834 4,159 758 764

Natural resources, construction, and maintenance occupations

11,263 11,250 821 883

Farming, fishing, and forestry occupations

725 683 595 595

Construction and extraction occupations

6,305 6,294 813 881

Installation, maintenance, and repair occupations

4,233 4,273 903 933

Production, transportation, and material moving occupations

11,969 12,141 756 774

Production occupations

5,499 5,685 768 804

Transportation and material moving occupations

6,470 6,456 741 745

Women

Management, professional, and related occupations

24,947 25,847 1,084 1,143

Management, business, and financial operations occupations

8,995 9,477 1,146 1,230

Professional and related occupations

15,952 16,371 1,044 1,092

Service occupations

8,572 8,898 514 552

Sales and office occupations

14,469 14,021 710 716

Sales and related occupations

4,506 4,402 692 671

Office and administrative support occupations

9,964 9,619 714 731

Natural resources, construction, and maintenance occupations

543 539 616 667

Farming, fishing, and forestry occupations

208 196 482 504

Construction and extraction occupations

217 182 723 708

Installation, maintenance, and repair occupations

118 161 843 927

Production, transportation, and material moving occupations

3,436 3,398 545 597

Production occupations

2,143 2,177 554 593

Transportation and material moving occupations

1,293 1,221 525 603

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, 3rd quarter 2019 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

118,358 $461 $611 $919 $1,462 $2,275

Men

65,655 491 662 1,002 1,609 2,481

Women

52,703 419 574 825 1,275 1,903

White

90,557 475 626 943 1,488 2,285

Men

51,479 499 683 1,025 1,642 2,490

Women

39,078 424 581 843 1,311 1,913

Black or African American

15,843 401 535 727 1,116 1,641

Men

7,552 415 571 768 1,157 1,848

Women

8,291 390 514 683 1,056 1,524

Asian

7,773 516 761 1,247 1,942 2,908

Men

4,356 546 824 1,360 2,277 3,120

Women

3,417 496 691 1,138 1,745 2,382

Hispanic or Latino ethnicity

21,472 408 526 718 1,064 1,631

Men

12,783 449 558 757 1,133 1,740

Women

8,688 380 498 661 964 1,473

EDUCATIONAL ATTAINMENT

Total, 25 years and over

106,634 488 651 975 1,533 2,308

Less than a high school diploma

7,192 367 476 606 783 1,076

High school graduates, no college(1)

26,784 422 548 749 1,090 1,535

Some college or associate degree

27,163 486 619 874 1,258 1,764

Bachelor's degree and higher(2)

45,495 658 919 1,383 2,064 2,977

Bachelor's degree only

28,487 615 849 1,281 1,900 2,768

Advanced degree

17,008 769 1,057 1,559 2,307 3,454

Men, 25 years and over

59,162 516 706 1,070 1,707 2,526

Less than a high school diploma

4,962 404 515 654 855 1,180

High school graduates, no college(1)

16,262 484 604 857 1,230 1,738

Some college or associate degree

14,586 527 707 997 1,426 1,924

Bachelor's degree and higher(2)

23,353 699 1,005 1,573 2,352 3,484

Bachelor's degree only

15,063 656 931 1,456 2,194 3,121

Advanced degree

8,290 836 1,194 1,875 2,739 3,922

Women, 25 years and over

47,472 448 601 877 1,352 1,970

Less than a high school diploma

2,230 312 392 501 642 797

High school graduates, no college(1)

10,522 383 491 629 861 1,167

Some college or associate degree

12,577 444 574 755 1,058 1,476

Bachelor's degree and higher(2)

22,142 625 853 1,227 1,765 2,476

Bachelor's degree only

13,424 589 780 1,136 1,634 2,287

Advanced degree

8,718 736 975 1,350 1,910 2,892

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
3rd
2018
3rd
2019
3rd
2018
3rd
2019

SEX AND AGE

Total, 16 years and over

23,327 23,637 $281 $285

Men, 16 years and over

7,871 8,266 270 268

16 to 24 years

3,223 3,405 216 216

25 years and over

4,649 4,861 321 309

Women, 16 years and over

15,456 15,371 287 296

16 to 24 years

4,464 4,428 210 225

25 years and over

10,992 10,943 326 339

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

18,313 18,684 283 289

Men

6,092 6,440 268 272

Women

12,221 12,245 292 299

Black or African American

2,703 2,492 259 261

Men

944 1,014 272 252

Women

1,759 1,478 252 267

Asian

1,262 1,436 305 315

Men

439 449 313 269

Women

823 987 302 345

Hispanic or Latino ethnicity

4,251 4,107 276 286

Men

1,438 1,362 272 278

Women

2,813 2,745 278 289

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: October 16, 2019