Usual Weekly Earnings of Wage and Salary Workers News Release

For release 10:00 a.m. (EDT) Tuesday, October 20, 2015                  USDL-15-2043

Technical information:  (202) 691-6378    cpsinfo@bls.gov    www.bls.gov/cps
Media contact:          (202) 691-5902    PressOffice@bls.gov


(NOTE: The Usual Weekly Earnings of Wage and Salary Workers news releases for the
first, second, and third quarters of 2015 were reissued on Tuesday, November 10,
2015, to correct errors in table 1 of the release. An incorrect price index was
used to compute seasonally adjusted median weekly earnings in constant dollars for
total, men, and women, affecting data for first quarter 2010 through the third
quarter 2015. These estimates have been recalculated using the correct price
index. No other series in the usual weekly earnings news release were affected
by the error.)


     USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS -- THIRD QUARTER 2015


Median weekly earnings of the nation's 110.4 million full-time wage and salary 
workers were $803 in the third quarter of 2015 (not seasonally adjusted), the U.S. 
Bureau of Labor Statistics reported today. This was 1.6 percent higher than a 
year earlier, compared with a gain of 0.1 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.) Data shown in this release are not seasonally adjusted unless 
otherwise specified. Highlights from the third-quarter data are:

  --Median weekly earnings were $803 in the third quarter of 2015. Women who 
    usually worked full time had median weekly earnings of $721, or 81.1 percent 
    of the $889 median for men. (See table 2.)

  --The women's-to-men's earnings ratio varied by race and ethnicity. White women 
    earned 80.5 percent as much as their male counterparts, compared with 93.3 
    percent for black women, 72.2 percent for Asian women, and 91.0 percent for 
    Hispanic women. (See table 2.)

  --Among the major race and ethnicity groups, median weekly earnings for black 
    men working at full-time jobs were $652 per week, or 70.9 percent of the 
    median for white men ($919). The difference was less among women, as black 
    women's median earnings ($608) were 82.2 percent of those for white women 
    ($740). Overall, median earnings of Hispanics who worked full time ($602) 
    were lower than those of blacks ($624), whites ($829), and Asians ($974). 
    (See table 2.)

  --Usual weekly earnings of full-time workers varied by age. Among men, those 
    age 55 to 64 had the highest median weekly earnings, at $1,077. Usual weekly 
    earnings were highest for women age 35 to 64: weekly earnings were $788 for 
    women age 35 to 44, $794 for women age 45 to 54, and $789 for women age 55 
    to 64. Workers age 16 to 24 had the lowest median weekly earnings, at $491. 
    (See table 3.)

  --Among the major occupational groups, persons employed full time in management, 
    professional, and related occupations had the highest median weekly earnings--
    $1,381 for men and $1,000 for women. Men and women employed in service jobs 
    had much lower earnings, $571 and $465, respectively. (See table 4.)

  --By educational attainment, full-time workers age 25 and over without a high 
    school diploma had median weekly earnings of $492, compared with $672 for 
    high school graduates (no college) and $1,234 for those holding at least a 
    bachelor's degree. Among college graduates with advanced degrees (professional 
    or master's degree and above), the highest earning 10 percent of male workers 
    made $3,480 or more per week, compared with $2,413 or more for their female 
    counterparts. (See table 5.)

  --Seasonally adjusted median weekly earnings were $809 in the third quarter of 
    2015, little changed from the previous quarter ($803). (See table 1.)



   _________________________________________________________________________
  |                                                                         |
  |       Revision of Seasonally Adjusted Usual Weekly Earnings Data        |
  |                                                                         |
  | The Usual Weekly Earnings news release for the fourth quarter of 2015   |
  | 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 2011 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
$

2006

3rd Quarter

107,041 60,060 46,981 678 755 603 334 372 297

4th Quarter

106,847 60,140 46,707 681 748 607 337 370 300

2007

1st Quarter

107,176 60,105 47,070 687 752 610 336 368 298

2nd Quarter

106,827 60,351 46,476 693 765 610 335 370 295

3rd Quarter

107,156 60,216 46,940 698 774 621 336 372 298

4th Quarter

108,178 60,508 47,670 700 774 615 332 368 292

2008

1st Quarter

107,786 60,378 47,408 713 783 633 335 368 298

2nd Quarter

107,046 59,586 47,460 722 802 636 335 372 295

3rd Quarter

106,136 59,273 46,863 724 802 637 331 367 291

4th Quarter

105,617 58,511 47,106 727 806 647 340 377 302

2009

1st Quarter

101,683 56,302 45,381 732 815 645 345 384 304

2nd Quarter

99,996 55,233 44,763 737 818 652 345 383 305

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

99,682 55,337 44,345 750 821 679 338 370 306

2nd Quarter

100,352 55,822 44,530 754 830 687 336 370 306

3rd Quarter

100,488 56,060 44,428 759 836 681 336 370 301

4th Quarter

101,315 56,667 44,648 761 838 686 335 369 302

2012

1st Quarter

102,184 57,118 45,066 764 841 693 335 368 303

2nd Quarter

102,504 57,057 45,448 772 870 687 337 380 300

3rd Quarter

102,630 57,245 45,385 765 836 693 333 364 301

4th Quarter

103,685 57,735 45,950 772 868 691 334 375 298

2013

1st Quarter

103,950 57,919 46,031 768 860 699 331 371 301

2nd Quarter

103,929 57,891 46,038 777 865 706 335 373 304

3rd Quarter

104,512 58,162 46,350 777 856 706 333 367 302

4th Quarter

104,673 58,019 46,654 783 862 712 334 368 304

2014

1st Quarter

105,639 58,728 46,911 790 866 716 336 368 304

2nd Quarter

106,320 59,445 46,875 782 861 715 330 363 302

3rd Quarter

106,889 59,661 47,228 797 880 722 335 370 304

4th Quarter

107,264 59,975 47,289 796 875 723 336 369 305

2015

1st Quarter

108,410 60,405 48,005 802 887 724 341 377 308

2nd Quarter

108,574 60,397 48,177 803 890 726 339 376 306

3rd Quarter

109,422 61,074 48,349 809 898 728 340 377 306

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
2014
3rd
2015
In current dollars In constant (1982-84) dollars
3rd
2014
3rd
2015
3rd
2014
3rd
2015

SEX AND AGE

Total, 16 years and over

107,855 110,446 $790 $803 $332 $337

Men, 16 years and over

60,502 61,974 870 889 366 373

16 to 24 years

5,827 5,992 498 517 209 217

25 years and over

54,676 55,982 920 946 386 397

Women, 16 years and over

47,353 48,472 715 721 300 303

16 to 24 years

4,314 4,598 448 442 188 185

25 years and over

43,038 43,874 750 762 315 320

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

85,030 86,280 816 829 343 348

Men

48,730 49,662 896 919 377 386

Women

36,299 36,617 733 740 308 311

Black or African American

13,195 13,842 638 624 268 262

Men

6,297 6,582 679 652 285 274

Women

6,898 7,260 608 608 255 255

Asian

6,307 6,807 945 974 397 409

Men

3,612 3,813 1,087 1,133 457 476

Women

2,695 2,994 795 818 334 343

Hispanic or Latino ethnicity

17,625 18,606 598 602 251 253

Men

10,802 11,367 617 624 259 262

Women

6,823 7,238 553 568 232 238

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 2015 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

110,446 $803 61,974 $889 48,472 $721

16 to 24 years

10,591 491 5,992 517 4,598 442

16 to 19 years

1,465 387 813 419 653 354

20 to 24 years

9,125 508 5,180 534 3,945 475

25 years and over

99,856 857 55,982 946 43,874 762

25 to 54 years

77,673 837 43,782 916 33,891 757

25 to 34 years

26,954 739 15,287 771 11,667 695

35 to 44 years

25,081 895 14,316 975 10,765 788

45 to 54 years

25,638 918 14,180 1,020 11,458 794

55 years and over

22,182 927 12,199 1,069 9,983 781

55 to 64 years

18,105 937 9,927 1,077 8,179 789

65 years and over

4,077 889 2,273 1,028 1,804 750

White

16 years and over

86,280 829 49,662 919 36,617 740

16 to 24 years

8,179 502 4,793 530 3,385 455

25 years and over

78,101 887 44,869 972 33,232 781

25 to 54 years

59,912 864 34,585 941 25,327 772

55 years and over

18,189 965 10,284 1,106 7,905 810

Black or African American

16 years and over

13,842 624 6,582 652 7,260 608

16 to 24 years

1,394 423 666 465 728 395

25 years and over

12,448 673 5,916 709 6,531 650

25 to 54 years

10,123 650 4,848 660 5,275 642

55 years and over

2,325 742 1,069 795 1,256 688

Asian

16 years and over

6,807 974 3,813 1,133 2,994 818

16 to 24 years

485 518 268 508 217 537

25 years and over

6,322 1,034 3,544 1,201 2,778 889

25 to 54 years

5,109 1,089 2,926 1,240 2,183 955

55 years and over

1,213 865 618 1,030 595 677

Hispanic or Latino ethnicity

16 years and over

18,606 602 11,367 624 7,238 568

16 to 24 years

2,403 457 1,463 483 940 411

25 years and over

16,203 631 9,904 666 6,299 597

25 to 54 years

13,786 626 8,451 652 5,335 600

55 years and over

2,417 667 1,453 733 964 582

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
2014
3rd
2015
3rd
2014
3rd
2015

TOTAL

Management, professional, and related occupations

43,476 44,614 $1,131 $1,165

Management, business, and financial operations occupations

17,816 18,289 1,225 1,261

Professional and related occupations

25,659 26,325 1,065 1,126

Service occupations

15,138 15,882 508 504

Sales and office occupations

23,316 24,027 665 670

Sales and related occupations

9,517 9,902 710 732

Office and administrative support occupations

13,798 14,124 646 646

Natural resources, construction, and maintenance occupations

11,284 11,199 755 734

Farming, fishing, and forestry occupations

959 937 414 464

Construction and extraction occupations

6,064 6,005 758 721

Installation, maintenance, and repair occupations

4,260 4,256 836 868

Production, transportation, and material moving occupations

14,642 14,725 640 666

Production occupations

7,612 7,622 651 665

Transportation and material moving occupations

7,030 7,103 628 668

Men

Management, professional, and related occupations

21,271 22,070 1,326 1,381

Management, business, and financial operations occupations

9,646 9,930 1,441 1,436

Professional and related occupations

11,626 12,140 1,252 1,345

Service occupations

7,494 7,685 585 571

Sales and office occupations

9,196 9,567 761 771

Sales and related occupations

5,279 5,548 844 866

Office and administrative support occupations

3,917 4,020 673 679

Natural resources, construction, and maintenance occupations

10,814 10,755 763 742

Farming, fishing, and forestry occupations

737 745 419 478

Construction and extraction occupations

5,934 5,871 760 721

Installation, maintenance, and repair occupations

4,143 4,139 837 864

Production, transportation, and material moving occupations

11,727 11,897 697 712

Production occupations

5,658 5,707 724 739

Transportation and material moving occupations

6,069 6,190 663 690

Women

Management, professional, and related occupations

22,204 22,544 980 1,000

Management, business, and financial operations occupations

8,171 8,359 1,048 1,071

Professional and related occupations

14,034 14,185 949 970

Service occupations

7,645 8,197 467 465

Sales and office occupations

14,120 14,459 624 628

Sales and related occupations

4,238 4,355 584 599

Office and administrative support occupations

9,881 10,105 640 639

Natural resources, construction, and maintenance occupations

469 444 486 588

Farming, fishing, and forestry occupations

222 192 394 445

Construction and extraction occupations

131 134 689 720

Installation, maintenance, and repair occupations

117 117 769 917

Production, transportation, and material moving occupations

2,915 2,828 498 518

Production occupations

1,953 1,916 504 518

Transportation and material moving occupations

961 913 475 515

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 2015 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

110,446 $384 $523 $803 $1,279 $1,929

Men

61,974 400 570 889 1,422 2,123

Women

48,472 363 493 721 1,128 1,733

White

86,280 393 549 829 1,324 1,988

Men

49,662 409 590 919 1,449 2,212

Women

36,617 376 507 740 1,144 1,742

Black or African American

13,842 340 441 624 968 1,481

Men

6,582 355 477 652 1,018 1,545

Women

7,260 333 417 608 921 1,402

Asian

6,807 389 574 974 1,640 2,301

Men

3,813 413 641 1,133 1,837 2,489

Women

2,994 365 514 818 1,371 2,016

Hispanic or Latino ethnicity

18,606 342 423 602 912 1,411

Men

11,367 359 445 624 964 1,472

Women

7,238 321 405 568 824 1,295

EDUCATIONAL ATTAINMENT

Total, 25 years and over

99,856 401 568 857 1,354 2,014

Less than a high school diploma

7,428 322 388 492 653 894

High school graduates, no college(1)

24,846 367 485 672 975 1,393

Some college or associate degree

27,506 398 543 773 1,138 1,581

Bachelor's degree and higher(2)

40,075 579 815 1,234 1,882 2,680

Bachelor's degree only

25,010 545 761 1,143 1,745 2,490

Advanced degree

15,065 655 948 1,394 2,016 2,910

Men, 25 years and over

55,982 418 606 946 1,490 2,271

Less than a high school diploma

5,202 338 403 515 699 975

High school graduates, no college(1)

14,945 388 516 753 1,089 1,523

Some college or associate degree

14,619 443 619 887 1,262 1,746

Bachelor's degree and higher(2)

21,216 617 932 1,416 2,085 2,966

Bachelor's degree only

13,528 583 846 1,297 1,918 2,882

Advanced degree

7,689 742 1,107 1,618 2,312 3,480

Women, 25 years and over

43,874 384 519 762 1,168 1,773

Less than a high school diploma

2,227 297 356 424 576 718

High school graduates, no college(1)

9,901 341 433 588 800 1,111

Some college or associate degree

12,887 376 493 675 964 1,362

Bachelor's degree and higher(2)

18,859 540 747 1,064 1,558 2,263

Bachelor's degree only

11,483 513 705 985 1,447 2,040

Advanced degree

7,376 600 859 1,187 1,742 2,413

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
2014
3rd
2015
3rd
2014
3rd
2015

SEX AND AGE

Total, 16 years and over

24,032 23,619 $245 $248

Men, 16 years and over

8,443 8,135 240 237

16 to 24 years

3,750 3,719 199 197

25 years and over

4,693 4,417 285 287

Women, 16 years and over

15,589 15,483 248 254

16 to 24 years

4,679 4,660 194 197

25 years and over

10,910 10,823 279 290

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White

19,221 18,754 249 252

Men

6,553 6,375 244 242

Women

12,668 12,379 251 258

Black or African American

2,706 2,862 224 226

Men

1,103 1,082 217 210

Women

1,603 1,779 230 237

Asian

1,199 1,211 267 264

Men

443 394 256 260

Women

757 817 274 266

Hispanic or Latino ethnicity

4,065 3,946 235 249

Men

1,559 1,478 251 254

Women

2,505 2,467 227 246

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.


Last Modified Date: November 10, 2015