For release 10:00 a.m. (EDT) Tuesday, October 19, 2010 USDL-10-1450 

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 2010 

Median weekly earnings of the nation's 101.4 million full-time wage and salary workers were $740 in 

the third quarter of 2010 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 0.3 percent higher than a year earlier, compared with a gain of 1.2 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: 

 Seasonally adjusted median weekly earnings were $745 in the third quarter of 2010, little 

changed from the previous quarter, $744. (See table 1.) 

 On a not seasonally adjusted basis, median weekly earnings were $740 in the third quarter of 

2010. Women who usually worked full time had median weekly earnings of $662, or 81.4 

percent of the $813 median for men. (See table 2.) 

 The female-to-male earnings ratio was lowest among Asians and whites (80.3 and 80.7 percent, respectively), compared with blacks (93.1 percent) and Hispanics (93.3 percent). (See 

table 2.) 

 Among the major race and ethnicity groups, median earnings for black men working at fulltime jobs were $634 per week, 75.6 percent of the median for white men, $839. The difference 

was less among women, as black women's median earnings ($590) were 87.1 percent of those for 

white women ($677). Overall, median earnings of Hispanics who worked full time ($522) were 

lower than those of blacks ($611), whites ($759), and Asians ($854). (See table 2.) 

 Usual weekly earnings of full-time workers varied by age. Among men, those age 45 to 54 and 

age 55 to 64 had the highest median weekly earnings, $941 and $983, respectively. Usual weekly 

earnings were highest for women from age 35 to 64; median weekly earnings were $729 for 

women age 35 to 44 and age 45 to 54, essentially the same as the $739 median for women age 55 

to 64. (See table 3.) 
- 2 - 

 Among the major occupational groups, persons employed full time in management, professional, and related occupations had the highest median weekly earnings—$1,255 for men and 

$921 for women. Men and women employed in service jobs earned the least, $511 and $425, 

respectively. (See table 4.) 

 By educational attainment, full-time workers age 25 and over without a high school diploma 

had median weekly earnings of $449, compared with $622 for high school graduates (no college) 

and $1,158 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 $3,146 or more per week, compared with $2,207 or more for their female 

counterparts. (See table 5.)

Revision of Seasonally Adjusted Usual Weekly Earnings Data

The Usual Weekly Earnings news release for the fourth quarter of 2010 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 2006 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 by the U.S. Census Bureau from 

a scientifically selected national sample of about 60,000 

households, with coverage in all 50 states and the District 

of Columbia. The earnings data are collected from onequarter of the CPS monthly sample and are limited to wage 

and salary workers (both incorporated and unincorporated 

self-employed are excluded). The data, therefore, exclude 

self-employment income. 

Information in this release will be made available to 

sensory impaired individuals upon request. Voice phone: 

(202) 691-5200; Federal Relay Service: (800) 877-8339. 

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 exact difference, or sampling 

error, varies depending on the particular sample selected, 

and this 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 errors 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 on a timely basis, mistakes made by respondents, and errors made in the collection or processing of the 

data. 

A full discussion of the reliability of data from the 

Current Population Survey and information on estimating 

standard errors is available on the BLS Web site at 

www.bls.gov/cps/documentation.htm#reliability. 

Definitions 

The principal definitions used in connection with the 

earnings series 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, 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 as 

perceived by the respondent. 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 

amount which divides a given earnings distribution into two 

equal groups, one having earnings above the median and 

the other 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 estimation procedure places each reported or 

calculated weekly earnings value into $50-wide intervals 

which are centered around multiples of $50. The actual 

value is estimated through the linear interpolation of the 

interval in which the quantile boundary lies. 

Over-the-year changes 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: (1) There could be a change 

in the relative weights of the subgroups. For example, the 

medians of both 16-to-24 year olds and those 25 years and 

over may rise; but if the lower-earning 16-to-24 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 could 

be caused by survey observations that are clustered at 
rounded values, such as $250, $300, or $400. 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. 

Wage and salary workers. 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, excludes all self-employed persons, regardless of whether or not their businesses are incorporated. 

Full-time workers. Workers who usually work 35 

hours or more per week at their sole or principal job. 

Part-time workers. Workers who usually work fewer 

than 35 hours per week at their sole or principal job. 

Constant dollars. The Consumer Price Index for All 

Urban Consumers (CPI-U) is used to convert current dollars 

to constant (1982-84) dollars. 

Hispanic or Latino ethnicity. Refers to persons who 

identified themselves in the enumeration process as being 

Spanish, Hispanic, or Latino. Persons whose ethnicity is 

identified as Hispanic or Latino may be of any race. 

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-toquarter 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 Web site 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

$

2001

3rd Quarter.......................................... 101,096 56,910 44,186 601 685 510 338 386 287

4th Quarter.......................................... 100,343 56,541 43,802 603 677 519 340 382 292

2002

1st Quarter.......................................... 99,924 56,096 43,829 607 677 525 341 380 295

2nd Quarter......................................... 100,286 56,640 43,646 608 678 524 339 378 292

3rd Quarter.......................................... 100,183 56,390 43,793 608 679 531 337 376 294

4th Quarter.......................................... 99,895 56,224 43,670 610 683 540 336 376 298

2003

1st Quarter.......................................... 100,136 56,079 44,057 615 689 546 335 376 297

2nd Quarter......................................... 100,255 56,013 44,242 619 692 551 338 378 301

3rd Quarter.......................................... 100,139 56,178 43,961 621 697 554 337 378 300

4th Quarter.......................................... 100,628 56,607 44,021 623 702 560 337 379 302

2004

1st Quarter.......................................... 100,905 56,848 44,057 629 705 562 337 378 301

2nd Quarter......................................... 101,135 56,914 44,221 642 715 576 341 380 306

3rd Quarter.......................................... 101,148 56,931 44,217 635 712 574 335 376 303

4th Quarter.......................................... 101,658 57,289 44,369 646 720 577 337 376 302

2005

1st Quarter.......................................... 102,091 57,710 44,381 647 723 580 336 376 302

2nd Quarter......................................... 103,201 58,099 45,101 647 714 584 334 369 301

3rd Quarter.......................................... 104,310 58,843 45,467 651 723 588 331 368 299

4th Quarter.......................................... 104,605 58,967 45,638 658 730 588 332 368 296

2006

1st Quarter.......................................... 104,664 58,943 45,722 662 737 594 332 370 298

2nd Quarter......................................... 105,801 59,834 45,967 663 732 597 329 364 296

3rd Quarter.......................................... 107,108 60,090 47,018 678 755 602 334 371 296

4th Quarter.......................................... 106,835 60,126 46,709 682 749 609 337 370 301

2007

1st Quarter.......................................... 107,049 60,034 47,015 687 752 609 336 368 298

2nd Quarter......................................... 106,842 60,354 46,488 693 764 610 335 370 295

3rd Quarter.......................................... 107,257 60,269 46,988 698 773 619 335 372 297

4th Quarter.......................................... 108,228 60,547 47,681 700 775 617 333 368 293

2008

1st Quarter.......................................... 107,601 60,282 47,319 713 783 632 335 368 297

2nd Quarter......................................... 107,111 59,602 47,509 722 800 637 335 371 296

3rd Quarter.......................................... 106,229 59,319 46,910 724 802 634 331 366 290

4th Quarter.......................................... 105,677 58,567 47,110 728 808 649 341 378 304

2009

1st Quarter.......................................... 101,417 56,164 45,253 731 816 644 344 384 303

2nd Quarter......................................... 100,112 55,268 44,844 736 815 655 345 382 307

3rd Quarter.......................................... 99,125 54,517 44,608 741 819 661 344 380 307

4th Quarter.......................................... 98,659 54,498 44,162 749 826 668 345 381 308

2010

1st Quarter.......................................... 97,914 53,976 43,939 748 836 662 344 384 304

2nd Quarter......................................... 99,681 55,073 44,608 744 813 674 343 374 310

3rd Quarter.......................................... 100,291 55,547 44,744 745 821 668 342 377 306

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

2009

3rd

2010

In current dollars In constant (1982-84)

dollars

3rd

2009

3rd

2010

3rd

2009

3rd

2010

SEX AND AGE

Total, 16 years and over............................................... 100,060 101,385 $738 $740 $342 $339

Men, 16 years and over............................................. 55,359 56,473 812 813 377 373

16 to 24 years...................................................... 5,261 5,454 448 424 208 194

25 years and over................................................. 50,098 51,019 870 869 404 398

Women, 16 years and over......................................... 44,701 44,912 657 662 305 304

16 to 24 years...................................................... 4,204 4,172 415 419 192 192

25 years and over................................................. 40,497 40,741 691 702 320 322

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White................................................................... 81,315 82,280 753 759 349 348

Men.................................................................. 45,963 47,013 835 839 387 384

Women.............................................................. 35,352 35,267 668 677 310 310

Black or African American........................................... 11,514 11,761 607 611 281 280

Men.................................................................. 5,335 5,398 622 634 288 290

Women.............................................................. 6,179 6,363 593 590 275 270

Asian................................................................... 4,919 5,000 877 854 407 391

Men.................................................................. 2,764 2,737 941 963 436 441

Women.............................................................. 2,155 2,263 777 773 360 354

Hispanic or Latino ethnicity......................................... 14,586 15,067 527 522 244 239

Men.................................................................. 9,203 9,433 539 539 250 247

Women.............................................................. 5,383 5,634 513 503 238 230

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 2010 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....................................................... 101,385 $740 56,473 $ 813 44,912 $662

16 to 24 years........................................................ 9,626 422 5,454 424 4,172 419

16 to 19 years...................................................... 1,383 335 856 343 526 326

20 to 24 years...................................................... 8,243 446 4,598 449 3,645 442

25 years and over.................................................... 91,759 780 51,019 869 40,741 702

25 to 54 years...................................................... 73,614 768 41,338 848 32,276 696

25 to 34 years................................................... 24,565 676 13,992 705 10,573 650

35 to 44 years................................................... 23,860 814 13,664 909 10,195 729

45 to 54 years................................................... 25,190 841 13,681 941 11,508 729

55 years and over................................................. 18,145 840 9,681 967 8,464 725

55 to 64 years................................................... 15,384 863 8,152 983 7,232 739

65 years and over............................................... 2,761 704 1,529 792 1,232 636

White

16 years and over.................................................... 82,280 759 47,013 839 35,267 677

16 to 24 years...................................................... 7,978 422 4,640 429 3,338 416

25 years and over................................................. 74,302 806 42,373 895 31,929 720

25 to 54 years................................................... 59,040 789 34,060 871 24,981 710

55 years and over............................................... 15,262 878 8,313 997 6,949 747

Black or African American

16 years and over.................................................... 11,761 611 5,398 634 6,363 590

16 to 24 years...................................................... 1,068 408 514 392 554 424

25 years and over................................................. 10,693 638 4,884 668 5,809 617

25 to 54 years................................................... 8,838 637 4,087 656 4,751 623

55 years and over............................................... 1,855 643 797 738 1,058 587

Asian

16 years and over.................................................... 5,000 854 2,737 963 2,263 773

16 to 24 years...................................................... 296 507 138 474 158 539

25 years and over................................................. 4,704 888 2,599 1,005 2,105 798

25 to 54 years................................................... 3,955 910 2,186 1,021 1,769 824

55 years and over............................................... 750 732 414 832 336 663

Hispanic or Latino ethnicity

16 years and over.................................................... 15,067 522 9,433 539 5,634 503

16 to 24 years...................................................... 1,803 389 1,136 391 667 385

25 years and over................................................. 13,264 563 8,297 581 4,967 530

25 to 54 years................................................... 11,730 561 7,451 579 4,278 531

55 years and over............................................... 1,534 578 846 621 689 524

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

2009

3rd

2010

3rd

2009

3rd

2010

TOTAL

Management, professional, and related occupations................................. 38,592 39,301 $1,048 $1,062

Management, business, and financial operations occupations.................... 15,697 15,830 1,138 1,149

Professional and related occupations................................................ 22,896 23,471 1,000 1,010

Service occupations....................................................................... 14,699 14,774 471 466

Sales and office occupations............................................................. 23,749 23,474 622 637

Sales and related occupations........................................................ 9,604 9,306 668 667

Office and administrative support occupations...................................... 14,144 14,168 606 624

Natural resources, construction, and maintenance occupations..................... 10,380 10,445 706 713

Farming, fishing, and forestry occupations.......................................... 797 789 408 436

Construction and extraction occupations............................................. 5,331 5,510 719 710

Installation, maintenance, and repair occupations.................................. 4,252 4,145 763 797

Production, transportation, and material moving occupations....................... 12,640 13,391 602 594

Production occupations................................................................. 6,561 7,226 610 596

Transportation and material moving occupations................................... 6,079 6,165 594 591

Men

Management, professional, and related occupations................................. 18,696 19,220 1,259 1,255

Management, business, and financial operations occupations.................... 8,451 8,750 1,329 1,308

Professional and related occupations................................................ 10,245 10,470 1,229 1,218

Service occupations....................................................................... 7,497 7,467 515 511

Sales and office occupations............................................................. 9,062 9,105 736 746

Sales and related occupations........................................................ 5,242 5,184 792 803

Office and administrative support occupations...................................... 3,820 3,920 648 687

Natural resources, construction, and maintenance occupations..................... 9,932 10,007 714 720

Farming, fishing, and forestry occupations.......................................... 653 595 422 465

Construction and extraction occupations............................................. 5,213 5,404 721 709

Installation, maintenance, and repair occupations.................................. 4,067 4,008 772 803

Production, transportation, and material moving occupations....................... 10,171 10,674 640 624

Production occupations................................................................. 4,883 5,313 680 656

Transportation and material moving occupations................................... 5,288 5,361 609 607

Women

Management, professional, and related occupations................................. 19,897 20,081 913 921

Management, business, and financial operations occupations.................... 7,246 7,080 955 983

Professional and related occupations................................................ 12,651 13,001 886 893

Service occupations....................................................................... 7,201 7,307 426 425

Sales and office occupations............................................................. 14,687 14,370 590 596

Sales and related occupations........................................................ 4,362 4,122 545 519

Office and administrative support occupations...................................... 10,325 10,248 598 610

Natural resources, construction, and maintenance occupations..................... 448 438 527 486

Farming, fishing, and forestry occupations.......................................... 144 195 338 393

Construction and extraction occupations............................................. 118 107 648 739

Installation, maintenance, and repair occupations.................................. 185 137 652 628

Production, transportation, and material moving occupations....................... 2,469 2,717 473 476

Production occupations................................................................. 1,678 1,914 470 488

Transportation and material moving occupations................................... 791 804 478 413

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 2010 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............................................... 101,385 $351 $ 488 $ 740 $1,155 $1,767

Men..................................................................... 56,473 370 515 813 1,275 1,910

Women................................................................. 44,912 335 453 662 1,001 1,527

White................................................................... 82,280 356 497 759 1,172 1,820

Men.................................................................. 47,013 375 525 839 1,309 1,920

Women.............................................................. 35,267 340 466 677 1,011 1,545

Black or African American........................................... 11,761 325 419 611 920 1,355

Men.................................................................. 5,398 343 446 634 950 1,447

Women.............................................................. 6,363 314 406 590 889 1,271

Asian................................................................... 5,000 374 536 854 1,473 2,039

Men.................................................................. 2,737 396 584 963 1,574 2,286

Women.............................................................. 2,263 353 498 773 1,295 1,794

Hispanic or Latino ethnicity......................................... 15,067 300 380 522 795 1,245

Men.................................................................. 9,433 305 389 539 840 1,313

Women.............................................................. 5,634 292 365 503 744 1,127

EDUCATIONAL ATTAINMENT

Total, 25 years and over............................................... 91,759 378 518 780 1,211 1,851

Less than a high school diploma................................... 7,490 287 351 449 611 844

High school graduates, no college1

............................... 25,392 347 455 622 893 1,220

Some college or associate degree................................. 24,827 387 517 732 1,021 1,432

Bachelor’s degree and higher2.................................... 34,050 551 776 1,158 1,741 2,414

Bachelor’s degree only............................................ 21,539 505 726 1,044 1,560 2,262

Advanced degree.................................................. 12,511 652 930 1,368 1,903 2,819

Men, 25 years and over............................................. 51,019 397 575 869 1,349 1,969

Less than a high school diploma................................ 5,080 298 374 485 661 902

High school graduates, no college1............................ 14,921 380 503 701 996 1,356

Some college or associate degree.............................. 12,953 427 594 838 1,158 1,566

Bachelor’s degree and higher2

.................................. 18,065 585 877 1,338 1,910 2,808

Bachelor’s degree only......................................... 11,455 535 810 1,217 1,827 2,503

Advanced degree............................................... 6,610 681 1,043 1,543 2,205 3,146

Women, 25 years and over......................................... 40,741 354 484 702 1,043 1,571

Less than a high school diploma................................ 2,410 265 320 400 510 684

High school graduates, no college1

............................ 10,471 322 405 542 734 991

Some college or associate degree.............................. 11,875 355 469 632 884 1,195

Bachelor’s degree and higher2.................................. 15,985 521 722 992 1,463 1,956

Bachelor’s degree only......................................... 10,084 480 652 909 1,324 1,876

Advanced degree............................................... 5,901 633 866 1,194 1,648 2,207

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

2009

3rd

2010

3rd

2009

3rd

2010

SEX AND AGE

Total, 16 years and over.................................................................. 24,291 23,405 $229 $234

Men, 16 years and over................................................................ 8,512 8,005 227 226

16 to 24 years........................................................................ 3,708 3,286 180 181

25 years and over.................................................................... 4,804 4,719 278 269

Women, 16 years and over............................................................ 15,779 15,400 230 239

16 to 24 years........................................................................ 4,553 4,402 172 176

25 years and over.................................................................... 11,226 10,998 266 276

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White...................................................................................... 20,308 19,506 230 234

Men..................................................................................... 7,038 6,406 229 225

Women................................................................................. 13,270 13,100 231 239

Black or African American............................................................. 2,440 2,402 219 230

Men..................................................................................... 886 1,007 219 226

Women................................................................................. 1,554 1,396 219 232

Asian...................................................................................... 969 914 246 253

Men..................................................................................... 355 375 230 238

Women................................................................................. 614 539 256 264

Hispanic or Latino ethnicity............................................................ 3,358 3,267 230 228

Men..................................................................................... 1,430 1,324 241 234

Women................................................................................. 1,928 1,943 222 224

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.