Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (EDT) Tuesday, October 16, 2018                       USDL-18-1661

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 2018


Median weekly earnings of the nation's 117.2 million full-time wage and salary workers
were $887 in the third quarter of 2018 (not seasonally adjusted), the U.S. Bureau of
Labor Statistics reported today. This was 3.3 percent higher than a year earlier,
compared with a gain of 2.6 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 third-quarter data:

   --Median weekly earnings of full-time workers were $887 in the third quarter
     of 2018. Women had median weekly earnings of $796, or 81.8 percent of the
     $973 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 Black women (86.9 percent), Asian women (77.1 percent), and Hispanic
     women (86.0 percent). (See table 2.)

   --Among the major race and ethnicity groups, median weekly earnings of Blacks
     ($686) and Hispanics ($689) working at full-time jobs were lower than those
     of Whites ($915) and Asians ($1,128). By sex, median weekly earnings for
     Black men were $726, or 72.3 percent of the median for White men ($1,004).
     Median earnings for Hispanic men were $722, or 71.9 percent of the median
     for White men. The difference was less among women, as Black women's median
     earnings were $631, or 76.5 percent of those for White women ($825), and
     earnings for Hispanic women were $621, or 75.3 percent of those for White
     women. Asian men and women earned more than their White counterparts.
     (See table 2.) 

   --By age, median weekly earnings were highest for men ages 35 to 64: weekly
     earnings were $1,110 for men ages 35 to 44, $1,152 for men ages 45 to 54, and
     $1,116 for men ages 55 to 64. Usual weekly earnings were highest for women
     ages 35 to 54: median weekly earnings were $882 for women ages 35 to 44
     and $892 for women ages 45 to 54. Men and women ages 16 to 24 had the
     lowest median weekly earnings, $575 and $515, 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--
     $1,460 for men and $1,084 for women. Men and women employed in service jobs
     earned the least, $642 and $514, respectively. (See table 4.)

   --By educational attainment, full-time workers age 25 and over without a high
     school diploma had median weekly earnings of $556, compared with $736 for
     high school graduates (no college) and $1,338 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 $2,789 or more for their
     female counterparts. (See table 5.)

   --Seasonally adjusted median weekly earnings were $893 in the third quarter
     of 2018, up from the previous quarter ($879). (See table 1.)

   __________________________________________________________________________
  |                                                                          |
  |        Revision of Seasonally Adjusted Usual Weekly Earnings Data        |
  |                                                                          |
  |The Usual Weekly Earnings news release for the fourth quarter of 2018 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 2014   |
  |will be 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
$

2009

3rd quarter

99,050 54,481 44,569 742 820 664 345 381 309

4th quarter

98,555 54,410 44,145 747 823 666 344 379 307

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

105,623 58,679 46,943 790 865 716 335 367 304

2nd quarter

106,356 59,506 46,850 781 860 714 330 363 302

3rd quarter

106,746 59,548 47,197 798 879 722 336 370 304

4th quarter

107,402 60,090 47,312 795 878 724 336 371 306

2015

1st quarter

108,480 60,370 48,110 801 886 724 340 377 308

2nd quarter

108,572 60,432 48,139 803 889 725 339 375 306

3rd quarter

109,295 60,985 48,311 811 897 728 341 377 306

4th quarter

109,982 61,206 48,776 822 904 730 345 380 307

2016

1st quarter

110,434 61,650 48,784 823 904 744 346 380 313

2nd quarter

110,973 61,835 49,138 827 912 743 345 381 310

3rd quarter

111,600 62,095 49,505 834 918 751 347 382 312

4th quarter

111,353 62,138 49,215 846 925 759 349 382 314

2017

1st quarter

112,004 62,508 49,496 857 940 759 351 385 311

2nd quarter

113,177 63,005 50,172 862 937 779 353 384 319

3rd quarter

113,668 63,176 50,492 866 944 773 353 385 315

4th quarter

114,219 63,221 50,997 854 944 771 345 382 312

2018

1st quarter

114,676 64,012 50,664 873 955 777 350 383 311

2nd quarter

115,502 64,171 51,331 879 962 779 351 384 311

3rd quarter

115,995 64,247 51,748 893 979 801 355 389 318

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
2017
3rd
2018
In current dollars In constant (1982-84) dollars
3rd
2017
3rd
2018
3rd
2017
3rd
2018

SEX AND AGE

Total, 16 years and over

114,859 117,184 $859 $887 $350 $352

Men, 16 years and over

64,179 65,216 937 973 381 386

16 to 24 years

6,343 6,363 527 575 214 228

25 years and over

57,836 58,853 995 1,033 405 410

Women, 16 years and over

50,680 51,968 767 796 312 316

16 to 24 years

4,830 5,034 500 515 203 204

25 years and over

45,850 46,934 811 841 330 333

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

88,794 90,067 887 915 361 363

Men

50,776 51,339 965 1,004 393 398

Women

38,018 38,728 791 825 322 327

Black or African American

14,727 15,338 696 686 283 272

Men

7,131 7,461 744 726 303 288

Women

7,596 7,877 658 631 268 250

Asian

7,509 7,757 1,010 1,128 411 447

Men

4,132 4,281 1,147 1,252 467 497

Women

3,377 3,477 902 965 367 382

Hispanic or Latino ethnicity

20,091 20,501 655 689 267 273

Men

12,183 12,407 698 722 284 286

Women

7,908 8,093 597 621 243 246

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 2018 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

117,184 $887 65,216 $973 51,968 $796

16 to 24 years

11,397 539 6,363 575 5,034 515

16 to 19 years

1,699 437 1,062 462 637 405

20 to 24 years

9,699 580 5,302 596 4,397 540

25 years and over

105,787 934 58,853 1,033 46,934 841

25 to 54 years

81,135 923 45,310 1,012 35,824 845

25 to 34 years

29,150 820 16,425 864 12,725 766

35 to 44 years

26,597 991 15,091 1,110 11,507 882

45 to 54 years

25,387 1,015 13,795 1,152 11,593 892

55 years and over

24,652 971 13,543 1,111 11,110 826

55 to 64 years

19,810 978 10,793 1,116 9,017 838

65 years and over

4,843 924 2,750 1,056 2,093 760

White

16 years and over

90,067 915 51,339 1,004 38,728 825

16 to 24 years

8,777 554 5,010 576 3,768 522

25 years and over

81,289 968 46,329 1,070 34,960 867

25 to 54 years

61,382 952 35,215 1,037 26,168 869

55 years and over

19,907 1,019 11,114 1,166 8,793 861

Black or African American

16 years and over

15,338 686 7,461 726 7,877 631

16 to 24 years

1,552 498 766 512 786 485

25 years and over

13,786 719 6,695 767 7,091 658

25 to 54 years

10,960 714 5,330 766 5,629 657

55 years and over

2,826 738 1,365 771 1,461 668

Asian

16 years and over

7,757 1,128 4,281 1,252 3,477 965

16 to 24 years

506 552 273 691 233 502

25 years and over

7,251 1,158 4,008 1,350 3,244 1,026

25 to 54 years

5,861 1,225 3,246 1,413 2,616 1,100

55 years and over

1,390 849 762 1,073 628 722

Hispanic or Latino ethnicity

16 years and over

20,501 689 12,407 722 8,093 621

16 to 24 years

2,611 513 1,538 519 1,073 502

25 years and over

17,890 716 10,869 755 7,021 652

25 to 54 years

15,113 718 9,225 754 5,888 658

55 years and over

2,777 710 1,644 760 1,133 619

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
2017
3rd
2018
3rd
2017
3rd
2018

TOTAL

Management, professional, and related occupations

47,495 48,739 $1,209 $1,243

Management, business, and financial operations occupations

19,211 19,658 1,311 1,348

Professional and related occupations

28,284 29,081 1,155 1,184

Service occupations

16,514 16,969 540 573

Sales and office occupations

23,917 24,265 721 757

Sales and related occupations

10,081 10,467 774 828

Office and administrative support occupations

13,836 13,798 700 726

Natural resources, construction, and maintenance occupations

11,904 11,806 804 813

Farming, fishing, and forestry occupations

1,081 933 530 578

Construction and extraction occupations

6,412 6,522 805 811

Installation, maintenance, and repair occupations

4,412 4,351 868 900

Production, transportation, and material moving occupations

15,028 15,406 680 700

Production occupations

7,746 7,642 700 705

Transportation and material moving occupations

7,282 7,764 647 695

Men

Management, professional, and related occupations

23,141 23,792 1,411 1,460

Management, business, and financial operations occupations

10,471 10,663 1,509 1,530

Professional and related occupations

12,670 13,129 1,359 1,412

Service occupations

8,189 8,396 610 642

Sales and office occupations

9,623 9,796 863 869

Sales and related occupations

5,726 5,962 967 960

Office and administrative support occupations

3,897 3,834 723 758

Natural resources, construction, and maintenance occupations

11,402 11,263 814 821

Farming, fishing, and forestry occupations

830 725 592 595

Construction and extraction occupations

6,258 6,305 806 813

Installation, maintenance, and repair occupations

4,314 4,233 873 903

Production, transportation, and material moving occupations

11,824 11,969 718 756

Production occupations

5,729 5,499 761 768

Transportation and material moving occupations

6,095 6,470 683 741

Women

Management, professional, and related occupations

24,354 24,947 1,058 1,084

Management, business, and financial operations occupations

8,740 8,995 1,129 1,146

Professional and related occupations

15,613 15,952 1,020 1,044

Service occupations

8,326 8,572 501 514

Sales and office occupations

14,294 14,469 669 710

Sales and related occupations

4,355 4,506 601 692

Office and administrative support occupations

9,939 9,964 692 714

Natural resources, construction, and maintenance occupations

502 543 527 616

Farming, fishing, and forestry occupations

251 208 470 482

Construction and extraction occupations

153 217 694 723

Installation, maintenance, and repair occupations

98 118 698 843

Production, transportation, and material moving occupations

3,204 3,436 540 545

Production occupations

2,017 2,143 569 554

Transportation and material moving occupations

1,188 1,293 508 525

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 2018 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

117,184 $431 $592 $887 $1,408 $2,107

Men

65,216 468 629 973 1,541 2,340

Women

51,968 407 542 796 1,221 1,828

White

90,067 449 611 915 1,438 2,168

Men

51,339 481 656 1,004 1,568 2,412

Women

38,728 419 575 825 1,237 1,851

Black or African American

15,338 384 493 686 1,110 1,653

Men

7,461 399 528 726 1,171 1,765

Women

7,877 375 467 631 1,013 1,561

Asian

7,757 448 647 1,128 1,763 2,573

Men

4,281 470 730 1,252 1,988 2,894

Women

3,477 428 589 965 1,489 2,160

Hispanic or Latino ethnicity

20,501 395 501 689 1,020 1,534

Men

12,407 410 522 722 1,107 1,619

Women

8,093 373 474 621 918 1,374

EDUCATIONAL ATTAINMENT

Total, 25 years and over

105,787 464 621 934 1,466 2,214

Less than a high school diploma

7,075 346 428 556 739 1,049

High school graduates, no college(1)

26,300 418 534 736 1,067 1,492

Some college or associate degree

27,584 458 596 826 1,206 1,678

Bachelor's degree and higher(2)

44,828 623 890 1,338 1,921 2,907

Bachelor's degree only

28,146 594 831 1,232 1,855 2,687

Advanced degree

16,682 725 1,010 1,487 2,241 3,393

Men, 25 years and over

58,853 497 683 1,033 1,616 2,483

Less than a high school diploma

4,865 380 476 610 818 1,156

High school graduates, no college(1)

16,130 475 597 823 1,197 1,627

Some college or associate degree

14,858 510 682 935 1,380 1,900

Bachelor's degree and higher(2)

22,999 671 997 1,518 2,285 3,367

Bachelor's degree only

14,698 620 927 1,415 2,079 2,922

Advanced degree

8,301 796 1,165 1,743 2,601 3,922

Women, 25 years and over

46,934 426 577 841 1,268 1,887

Less than a high school diploma

2,209 305 385 476 586 768

High school graduates, no college(1)

10,170 386 479 615 853 1,162

Some college or associate degree

12,726 417 531 712 1,009 1,368

Bachelor's degree and higher(2)

21,828 600 820 1,154 1,688 2,316

Bachelor's degree only

13,448 576 762 1,069 1,565 2,145

Advanced degree

8,381 683 917 1,269 1,871 2,789

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
2017
3rd
2018
3rd
2017
3rd
2018

SEX AND AGE

Total, 16 years and over

23,785 23,327 $266 $281

Men, 16 years and over

8,099 7,871 253 270

16 to 24 years

3,631 3,223 217 216

25 years and over

4,468 4,649 300 321

Women, 16 years and over

15,686 15,456 274 287

16 to 24 years

4,736 4,464 208 210

25 years and over

10,950 10,992 310 326

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

18,797 18,313 269 283

Men

6,288 6,092 256 268

Women

12,508 12,221 277 292

Black or African American

2,869 2,703 249 259

Men

999 944 233 272

Women

1,870 1,759 254 252

Asian

1,148 1,262 285 305

Men

395 439 259 313

Women

753 823 295 302

Hispanic or Latino ethnicity

3,928 4,251 263 276

Men

1,410 1,438 263 272

Women

2,517 2,813 263 278

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, 2018