Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (EDT) Tuesday, April 16, 2019                       USDL-19-0665

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 
     		   		FIRST QUARTER 2019


Median weekly earnings of the nation's 116.1 million full-time wage and salary 
workers were $905 in the first quarter of 2019 (not seasonally adjusted), the U.S. 
Bureau of Labor Statistics reported today. This was 2.7 percent higher than a year 
earlier, compared with a gain of 1.6 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 first-quarter data:

  --Median weekly earnings of full-time workers were $905 in the first quarter 
    of 2019. Women had median weekly earnings of $806, or 80.3 percent of the 
    $1,004 median for men. (See table 2.)

  --The women's-to-men's earnings ratio varied by race and ethnicity. White women 
    earned 80.0 percent as much as their male counterparts, compared with 91.8 
    percent for Black women, 78.3 percent for Asian women, and 86.7 percent for 
    Hispanic women. (See table 2.)

  --Among the major race and ethnicity groups, median weekly earnings for Blacks 
    ($737) and Hispanics ($696) working at full-time jobs were lower than those of 
    Whites ($935) and Asians ($1,157). By sex, median weekly earnings for Black men 
    were $772, or 74.7 percent of the median for White men ($1,033). Median earnings 
    for Hispanic men were $728, or 70.5 percent of the median for White men. The
    difference was less among women, as Black women's median earnings were $709, 
    or 85.8 percent of those for White women ($826), and earnings for Hispanic
    women were $631, or 76.4 percent of those for White women. Earnings of Asian
    men ($1,299) and women ($1,017) 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 $1,155 for men ages 35 to 44, $1,170 for men ages 45 to 54, and 
    $1,174 for men ages 55 to 64. Usual weekly earnings were also highest for women
    ages 35 to 64: median weekly earnings, were $923 for women ages 35 to 44, $876 
    for women ages 45 to 54, and $886 for women ages 55 to 64. Men and women ages 
    16 to 24 had the lowest median weekly earnings, $605 and $539, 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--
    $1,559 for men and $1,100 for women. Men and women employed in service jobs 
    earned the least, $672 and $517, respectively. (See table 4.)

  --By educational attainment, full-time workers age 25 and over without a high 
    school diploma had median weekly earnings of $578, compared with $739 for high 
    school graduates (no college) and $1,350 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 $4,350 
    or more per week, compared with $2,882 or more for their female counterparts. 
    (See table 5.)

  --Seasonally adjusted median weekly earnings were $898 in the first quarter of 
    2019, essentially unchanged from the previous quarter ($897). (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 2014 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
$

2010

1st quarter

98,143 54,098 44,045 748 836 662 344 384 304

2nd quarter

99,605 55,028 44,577 742 814 671 342 374 309

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

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
2018
1st
2019
In current dollars In constant (1982-84) dollars
1st
2018
1st
2019
1st
2018
1st
2019

SEX AND AGE

Total, 16 years and over

113,396 116,123 $881 $905 $354 $358

Men, 16 years and over

63,037 64,075 965 1,004 388 397

16 to 24 years

5,482 5,546 563 605 226 239

25 years and over

57,555 58,529 1,016 1,062 409 420

Women, 16 years and over

50,359 52,047 783 806 315 319

16 to 24 years

4,159 4,702 545 539 219 213

25 years and over

46,201 47,345 819 846 329 334

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

87,528 89,183 911 935 366 370

Men

49,844 50,645 997 1,033 401 409

Women

37,684 38,537 810 826 326 327

Black or African American

14,715 15,231 696 737 280 291

Men

7,136 7,168 723 772 291 305

Women

7,579 8,063 671 709 270 280

Asian

7,330 7,792 1,066 1,157 429 457

Men

4,032 4,187 1,199 1,299 482 514

Women

3,298 3,606 941 1,017 378 402

Hispanic or Latino ethnicity

19,802 20,821 675 696 271 275

Men

11,895 12,400 723 728 290 288

Women

7,907 8,422 615 631 247 250

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 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

116,123 $905 64,075 $1,004 52,047 $806

16 to 24 years

10,248 579 5,546 605 4,702 539

16 to 19 years

1,270 472 714 488 556 444

20 to 24 years

8,978 596 4,832 621 4,146 562

25 years and over

105,875 954 58,529 1,062 47,345 846

25 to 54 years

81,142 942 45,129 1,034 36,013 841

25 to 34 years

29,235 815 16,427 875 12,809 760

35 to 44 years

26,386 1,033 14,878 1,155 11,508 923

45 to 54 years

25,520 1,017 13,824 1,170 11,697 876

55 years and over

24,732 991 13,401 1,149 11,332 859

55 to 64 years

19,977 1,017 10,774 1,174 9,203 886

65 years and over

4,755 877 2,627 1,033 2,129 757

White

16 years and over

89,183 935 50,645 1,033 38,537 826

16 to 24 years

7,860 589 4,400 613 3,460 556

25 years and over

81,323 986 46,245 1,102 35,078 864

25 to 54 years

61,438 971 35,125 1,068 26,313 857

55 years and over

19,885 1,031 11,120 1,204 8,765 888

Black or African American

16 years and over

15,231 737 7,168 772 8,063 709

16 to 24 years

1,396 470 650 491 746 457

25 years and over

13,835 768 6,518 807 7,317 740

25 to 54 years

10,883 767 5,228 799 5,655 736

55 years and over

2,952 773 1,290 849 1,661 747

Asian

16 years and over

7,792 1,157 4,187 1,299 3,606 1,017

16 to 24 years

453 655 200 815 253 612

25 years and over

7,339 1,212 3,986 1,349 3,353 1,102

25 to 54 years

5,943 1,255 3,258 1,361 2,685 1,160

55 years and over

1,396 973 728 1,239 668 899

Hispanic or Latino ethnicity

16 years and over

20,821 696 12,400 728 8,422 631

16 to 24 years

2,489 554 1,445 575 1,044 520

25 years and over

18,332 725 10,955 761 7,378 664

25 to 54 years

15,399 723 9,247 757 6,151 663

55 years and over

2,934 736 1,708 783 1,226 666

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
2018
1st
2019
1st
2018
1st
2019

TOTAL

Management, professional, and related occupations

48,940 50,018 $1,229 $1,285

Management, business, and financial operations occupations

20,138 20,632 1,341 1,427

Professional and related occupations

28,801 29,387 1,155 1,212

Service occupations

15,645 16,134 567 587

Sales and office occupations

23,461 23,527 734 753

Sales and related occupations

9,979 9,906 758 805

Office and administrative support occupations

13,482 13,621 721 731

Natural resources, construction, and maintenance occupations

11,238 11,325 817 823

Farming, fishing, and forestry occupations

835 893 589 573

Construction and extraction occupations

6,218 6,207 801 817

Installation, maintenance, and repair occupations

4,184 4,225 924 903

Production, transportation, and material moving occupations

14,112 15,119 703 718

Production occupations

7,453 7,852 713 729

Transportation and material moving occupations

6,660 7,267 692 706

Men

Management, professional, and related occupations

23,829 24,258 1,454 1,559

Management, business, and financial operations occupations

10,907 11,022 1,538 1,656

Professional and related occupations

12,922 13,236 1,400 1,497

Service occupations

7,872 7,485 641 672

Sales and office occupations

9,486 9,548 841 861

Sales and related occupations

5,629 5,636 927 943

Office and administrative support occupations

3,857 3,912 760 779

Natural resources, construction, and maintenance occupations

10,699 10,875 821 836

Farming, fishing, and forestry occupations

677 731 601 580

Construction and extraction occupations

6,045 6,054 800 820

Installation, maintenance, and repair occupations

3,978 4,091 924 905

Production, transportation, and material moving occupations

11,151 11,910 749 771

Production occupations

5,462 5,749 780 801

Transportation and material moving occupations

5,688 6,160 717 738

Women

Management, professional, and related occupations

25,110 25,761 1,054 1,100

Management, business, and financial operations occupations

9,231 9,610 1,160 1,177

Professional and related occupations

15,879 16,151 1,000 1,047

Service occupations

7,773 8,649 504 517

Sales and office occupations

13,975 13,979 686 705

Sales and related occupations

4,350 4,270 632 648

Office and administrative support occupations

9,625 9,710 709 717

Natural resources, construction, and maintenance occupations

539 450 684 622

Farming, fishing, and forestry occupations

159 162 476 516

Construction and extraction occupations

174 154 897 598

Installation, maintenance, and repair occupations

207 134 912 855

Production, transportation, and material moving occupations

2,962 3,209 556 583

Production occupations

1,990 2,103 571 582

Transportation and material moving occupations

971 1,106 519 586

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 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

116,123 $442 $605 $905 $1,451 $2,265

Men

64,075 481 657 1,004 1,619 2,500

Women

52,047 408 555 806 1,243 1,891

White

89,183 460 620 935 1,475 2,288

Men

50,645 493 679 1,033 1,651 2,519

Women

38,537 420 574 826 1,251 1,887

Black or African American

15,231 388 515 737 1,113 1,684

Men

7,168 418 554 772 1,176 1,768

Women

8,063 369 487 709 1,027 1,576

Asian

7,792 486 687 1,157 1,909 2,894

Men

4,187 505 745 1,299 2,113 3,097

Women

3,606 468 618 1,017 1,727 2,406

Hispanic or Latino ethnicity

20,821 392 510 696 1,059 1,632

Men

12,400 417 548 728 1,134 1,737

Women

8,422 363 477 631 955 1,486

EDUCATIONAL ATTAINMENT

Total, 25 years and over

105,875 468 635 954 1,519 2,309

Less than a high school diploma

6,896 348 433 578 753 1,053

High school graduates, no college(1)

26,344 417 540 739 1,069 1,520

Some college or associate degree

27,012 459 603 835 1,234 1,748

Bachelor's degree and higher(2)

45,624 637 903 1,350 2,056 3,014

Bachelor's degree only

28,254 596 817 1,213 1,880 2,748

Advanced degree

17,369 773 1,069 1,574 2,334 3,583

Men, 25 years and over

58,529 502 696 1,062 1,709 2,604

Less than a high school diploma

4,612 382 488 633 817 1,162

High school graduates, no college(1)

16,307 465 602 821 1,200 1,657

Some college or associate degree

14,569 516 697 986 1,437 1,924

Bachelor's degree and higher(2)

23,041 687 1,022 1,589 2,381 3,520

Bachelor's degree only

14,618 635 926 1,426 2,120 3,104

Advanced degree

8,423 867 1,256 1,898 2,891 4,350

Women, 25 years and over

47,345 425 584 846 1,300 1,913

Less than a high school diploma

2,284 305 385 483 597 756

High school graduates, no college(1)

10,036 379 483 622 844 1,169

Some college or associate degree

12,443 410 533 718 988 1,379

Bachelor's degree and higher(2)

22,582 607 825 1,158 1,726 2,478

Bachelor's degree only

13,636 571 752 1,051 1,522 2,185

Advanced degree

8,946 736 969 1,357 1,922 2,882

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
2018
1st
2019
1st
2018
1st
2019

SEX AND AGE

Total, 16 years and over

24,864 24,098 $266 $269

Men, 16 years and over

8,538 8,072 260 266

16 to 24 years

3,708 3,413 210 209

25 years and over

4,830 4,658 309 329

Women, 16 years and over

16,326 16,026 268 271

16 to 24 years

4,958 4,425 200 188

25 years and over

11,368 11,601 310 317

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

19,476 19,035 269 273

Men

6,552 6,226 261 269

Women

12,925 12,808 273 275

Black or African American

2,979 2,676 248 244

Men

1,027 1,001 245 246

Women

1,952 1,675 249 243

Asian

1,386 1,328 280 300

Men

536 475 290 284

Women

850 853 272 307

Hispanic or Latino ethnicity

4,007 4,157 264 273

Men

1,520 1,449 260 284

Women

2,488 2,707 265 268

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 19, 2019