For release 10:00 a.m. (EDT) Thursday, October 20, 2011 USDL-11-1501 

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 2011

Median weekly earnings of the nation's 101.4 million full-time wage and salary workers were $753 in 

the third quarter of 2011 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today. 

This was 1.8 percent higher than a year earlier, compared with a gain of 3.8 percent in the Consumer 

Price Index for All Urban Consumers (CPI-U) over the same period. 

Data on usual weekly earnings are collected as part of the Current Population Survey, a nationwide 

sample survey of households in which respondents are asked, among other things, how much each wage 

and salary worker usually earns. (See the Technical Note.) 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 $758 in the third quarter of 2011, little 

changed from the previous quarter ($756). (See table 1.) 

 On a not seasonally adjusted basis, median weekly earnings were $753 in the third quarter of 

2011. Women who usually worked full time had median weekly earnings of $673, or 81.4 

percent of the $827 median for men. (See table 2.) 

 The female-to-male earnings ratio varied by race and ethnicity. White women earned 82.5 

percent as much as their male counterparts, compared with black (90.2 percent), Asian (70.1 

percent), and Hispanic women (92.9 percent). (See table 2.) 

 Among the major race and ethnicity groups, median weekly earnings for black men working at 

full-time jobs were $661 per week, or 78.0 percent of the median for white men ($847). The 

difference was less among women, as black women's median earnings ($596) were 85.3 percent 

of those for white women ($699). Overall, median earnings of Hispanics who worked full time 

($545) were lower than those of blacks ($616), whites ($772), and Asians ($869). (See table 2.) 

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

55 to 64 had the highest median weekly earnings, $983 and $985, respectively. Usual weekly 

earnings were highest for women age 35 to 64; weekly earnings were $728 for women age 35 to 

44, $741 for women age 45 to 54, and $748 for women age 55 to 64. Workers age 16 to 24 had 

the lowest median weekly earnings, at $432. (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—$1,267 for men 

and $946 for women. Men and women employed in service jobs earned the least, $528 and $427, 

respectively. (See table 4.) 

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

had median weekly earnings of $459, compared with $636 for high school graduates (no college) 

and $1,152 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 $3,131 or more per week, compared with $2,311 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 2011 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 2007 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

$

2002

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.......................................... 104,708 58,960 45,748 662 737 594 332 370 298

2nd Quarter......................................... 105,798 59,831 45,966 663 732 597 329 364 296

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.......................................... 107,134 60,063 47,072 687 751 609 336 368 298

2nd Quarter......................................... 106,819 60,346 46,473 693 765 610 335 370 295

3rd Quarter.......................................... 107,156 60,220 46,936 698 774 620 336 372 298

4th Quarter.......................................... 108,251 60,571 47,680 700 774 614 332 368 292

2008

1st Quarter.......................................... 107,740 60,328 47,412 712 782 633 335 368 297

2nd Quarter......................................... 107,061 59,588 47,473 723 801 637 335 372 296

3rd Quarter.......................................... 106,088 59,246 46,841 724 803 636 331 367 291

4th Quarter.......................................... 105,711 58,601 47,109 727 807 646 340 378 302

2009

1st Quarter.......................................... 101,612 56,231 45,381 731 814 645 344 383 304

2nd Quarter......................................... 100,033 55,246 44,787 737 817 655 345 383 307

3rd Quarter.......................................... 98,949 54,425 44,525 742 820 663 345 381 308

4th Quarter.......................................... 98,702 54,534 44,168 747 825 665 345 380 307

2010

1st Quarter.......................................... 98,071 54,026 44,044 747 834 662 343 383 304

2nd Quarter......................................... 99,674 55,062 44,612 744 813 674 342 374 310

3rd Quarter.......................................... 100,242 55,524 44,718 745 822 668 342 377 306

4th Quarter.......................................... 100,132 55,620 44,512 751 829 675 342 378 307

2011

1st Quarter.......................................... 99,698 55,312 44,385 749 820 679 337 369 306

2nd Quarter......................................... 100,397 55,845 44,552 756 828 689 337 369 307

3rd Quarter.......................................... 100,263 55,916 44,347 758 835 681 335 369 301

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

2010

3rd

2011

In current dollars In constant (1982-84)

dollars

3rd

2010

3rd

2011

3rd

2010

3rd

2011

SEX AND AGE

Total, 16 years and over............................................... 101,385 101,447 $740 $ 753 $339 $332

Men, 16 years and over............................................. 56,473 56,900 813 827 373 365

16 to 24 years...................................................... 5,454 5,433 424 440 194 195

25 years and over................................................. 51,019 51,466 869 888 398 392

Women, 16 years and over......................................... 44,912 44,548 662 673 304 297

16 to 24 years...................................................... 4,172 3,957 419 422 192 186

25 years and over................................................. 40,741 40,591 702 713 322 315

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White................................................................... 82,280 82,357 759 772 348 341

Men.................................................................. 47,013 47,275 839 847 384 374

Women.............................................................. 35,267 35,082 677 699 310 308

Black or African American........................................... 11,761 11,633 611 616 280 272

Men.................................................................. 5,398 5,420 634 661 290 292

Women.............................................................. 6,363 6,213 590 596 270 263

Asian................................................................... 5,000 5,116 854 869 391 384

Men.................................................................. 2,737 2,895 963 1,015 441 448

Women.............................................................. 2,263 2,221 773 712 354 315

Hispanic or Latino ethnicity......................................... 15,067 15,324 522 545 239 241

Men.................................................................. 9,433 9,627 539 562 247 248

Women.............................................................. 5,634 5,697 503 522 230 231

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 2011 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....................................................... 101,447 $753 56,900 $ 827 44,548 $673

16 to 24 years........................................................ 9,390 432 5,433 440 3,957 422

16 to 19 years...................................................... 1,182 356 682 370 500 338

20 to 24 years...................................................... 8,208 448 4,751 458 3,457 436

25 years and over.................................................... 92,057 798 51,466 888 40,591 713

25 to 54 years...................................................... 73,332 785 41,233 869 32,099 707

25 to 34 years................................................... 24,618 693 14,083 719 10,534 659

35 to 44 years................................................... 23,698 832 13,573 940 10,126 728

45 to 54 years................................................... 25,016 867 13,577 983 11,439 741

55 years and over................................................. 18,725 849 10,233 964 8,492 737

55 to 64 years................................................... 15,804 867 8,513 985 7,291 748

65 years and over............................................... 2,921 758 1,719 839 1,201 643

White

16 years and over.................................................... 82,357 772 47,275 847 35,082 699

16 to 24 years...................................................... 7,761 435 4,607 443 3,154 426

25 years and over................................................. 74,596 824 42,668 907 31,928 737

25 to 54 years................................................... 58,821 811 33,922 888 24,899 730

55 years and over............................................... 15,775 876 8,745 985 7,030 761

Black or African American

16 years and over.................................................... 11,633 616 5,420 661 6,213 596

16 to 24 years...................................................... 1,041 404 517 418 524 384

25 years and over................................................. 10,592 640 4,903 691 5,689 611

25 to 54 years................................................... 8,758 642 4,061 685 4,697 615

55 years and over............................................... 1,834 630 842 754 992 587

Asian

16 years and over.................................................... 5,116 869 2,895 1,015 2,221 712

16 to 24 years...................................................... 294 496 147 465 148 542

25 years and over................................................. 4,822 904 2,749 1,058 2,073 731

25 to 54 years................................................... 4,025 919 2,298 1,101 1,727 752

55 years and over............................................... 797 817 450 980 347 626

Hispanic or Latino ethnicity

16 years and over.................................................... 15,324 545 9,627 562 5,697 522

16 to 24 years...................................................... 1,958 414 1,321 408 637 441

25 years and over................................................. 13,367 579 8,306 598 5,060 545

25 to 54 years................................................... 11,774 578 7,358 596 4,416 547

55 years and over............................................... 1,593 584 948 612 645 523

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

2010

3rd

2011

3rd

2010

3rd

2011

TOTAL

Management, professional, and related occupations................................. 39,301 40,029 $1,062 $1,092

Management, business, and financial operations occupations.................... 15,830 16,429 1,149 1,174

Professional and related occupations................................................ 23,471 23,600 1,010 1,032

Service occupations....................................................................... 14,774 14,776 466 474

Sales and office occupations............................................................. 23,474 23,051 637 625

Sales and related occupations........................................................ 9,306 9,376 667 658

Office and administrative support occupations...................................... 14,168 13,675 624 616

Natural resources, construction, and maintenance occupations..................... 10,445 10,342 713 722

Farming, fishing, and forestry occupations.......................................... 789 869 436 437

Construction and extraction occupations............................................. 5,510 5,224 710 715

Installation, maintenance, and repair occupations.................................. 4,145 4,249 797 787

Production, transportation, and material moving occupations....................... 13,391 13,250 594 611

Production occupations................................................................. 7,226 6,867 596 609

Transportation and material moving occupations................................... 6,165 6,383 591 614

Men

Management, professional, and related occupations................................. 19,220 19,507 1,255 1,267

Management, business, and financial operations occupations.................... 8,750 8,745 1,308 1,372

Professional and related occupations................................................ 10,470 10,762 1,218 1,199

Service occupations....................................................................... 7,467 7,535 511 528

Sales and office occupations............................................................. 9,105 9,253 746 737

Sales and related occupations........................................................ 5,184 5,295 803 835

Office and administrative support occupations...................................... 3,920 3,958 687 677

Natural resources, construction, and maintenance occupations..................... 10,007 9,927 720 730

Farming, fishing, and forestry occupations.......................................... 595 685 465 463

Construction and extraction occupations............................................. 5,404 5,132 709 717

Installation, maintenance, and repair occupations.................................. 4,008 4,110 803 786

Production, transportation, and material moving occupations....................... 10,674 10,678 624 645

Production occupations................................................................. 5,313 5,048 656 672

Transportation and material moving occupations................................... 5,361 5,631 607 624

Women

Management, professional, and related occupations................................. 20,081 20,522 921 946

Management, business, and financial operations occupations.................... 7,080 7,684 983 980

Professional and related occupations................................................ 13,001 12,838 893 927

Service occupations....................................................................... 7,307 7,241 425 427

Sales and office occupations............................................................. 14,370 13,798 596 592

Sales and related occupations........................................................ 4,122 4,081 519 521

Office and administrative support occupations...................................... 10,248 9,717 610 606

Natural resources, construction, and maintenance occupations..................... 438 415 486 503

Farming, fishing, and forestry occupations.......................................... 195 184 393 362

Construction and extraction occupations............................................. 107 92 739 574

Installation, maintenance, and repair occupations.................................. 137 139 628 865

Production, transportation, and material moving occupations....................... 2,717 2,571 476 491

Production occupations................................................................. 1,914 1,819 488 489

Transportation and material moving occupations................................... 804 752 413 498

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 2011 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............................................... 101,447 $357 $ 497 $ 753 $1,175 $1,814

Men..................................................................... 56,900 378 523 827 1,312 1,939

Women................................................................. 44,548 337 466 673 1,025 1,525

White................................................................... 82,357 363 505 772 1,206 1,850

Men.................................................................. 47,275 381 536 847 1,337 1,979

Women.............................................................. 35,082 342 478 699 1,050 1,547

Black or African American........................................... 11,633 329 435 616 942 1,405

Men.................................................................. 5,420 344 474 661 1,004 1,457

Women.............................................................. 6,213 317 412 596 870 1,308

Asian................................................................... 5,116 382 522 869 1,426 2,096

Men.................................................................. 2,895 404 619 1,015 1,735 2,324

Women.............................................................. 2,221 353 474 712 1,138 1,741

Hispanic or Latino ethnicity......................................... 15,324 310 392 545 832 1,237

Men.................................................................. 9,627 314 400 562 875 1,290

Women.............................................................. 5,697 302 377 522 776 1,145

EDUCATIONAL ATTAINMENT

Total, 25 years and over............................................... 92,057 382 525 798 1,233 1,876

Less than a high school diploma................................... 7,029 292 350 459 624 887

High school graduates, no college1

............................... 25,298 353 468 636 921 1,278

Some college or associate degree................................. 25,143 383 511 731 1,070 1,479

Bachelor’s degree and higher2.................................... 34,588 566 789 1,152 1,753 2,466

Bachelor’s degree only............................................ 21,750 518 727 1,047 1,565 2,125

Advanced degree.................................................. 12,838 656 937 1,354 1,978 2,892

Men, 25 years and over............................................. 51,466 402 582 888 1,372 2,018

Less than a high school diploma................................ 4,818 301 369 489 684 973

High school graduates, no college1............................ 14,959 391 516 720 1,030 1,424

Some college or associate degree.............................. 13,366 416 586 839 1,203 1,643

Bachelor’s degree and higher2

.................................. 18,323 597 894 1,331 1,919 2,875

Bachelor’s degree only......................................... 11,486 574 814 1,198 1,817 2,417

Advanced degree............................................... 6,837 697 1,066 1,578 2,294 3,131

Women, 25 years and over......................................... 40,591 357 491 713 1,067 1,565

Less than a high school diploma................................ 2,211 278 323 404 539 727

High school graduates, no college1

............................ 10,339 320 405 545 743 1,039

Some college or associate degree.............................. 11,776 354 472 625 902 1,235

Bachelor’s degree and higher2.................................. 16,265 529 726 993 1,445 1,985

Bachelor’s degree only......................................... 10,265 497 657 931 1,297 1,806

Advanced degree............................................... 6,001 632 855 1,154 1,683 2,311

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

2010

3rd

2011

3rd

2010

3rd

2011

SEX AND AGE

Total, 16 years and over.................................................................. 23,405 24,103 $234 $237

Men, 16 years and over................................................................ 8,005 8,463 226 233

16 to 24 years........................................................................ 3,286 3,598 181 186

25 years and over.................................................................... 4,719 4,865 269 294

Women, 16 years and over............................................................ 15,400 15,641 239 239

16 to 24 years........................................................................ 4,402 4,476 176 181

25 years and over.................................................................... 10,998 11,165 276 275

RACE, HISPANIC OR LATINO ETHNICITY, AND SEX

White...................................................................................... 19,506 19,858 234 238

Men..................................................................................... 6,406 6,763 225 235

Women................................................................................. 13,100 13,095 239 240

Black or African American............................................................. 2,402 2,585 230 220

Men..................................................................................... 1,007 1,036 226 214

Women................................................................................. 1,396 1,549 232 224

Asian...................................................................................... 914 950 253 271

Men..................................................................................... 375 383 238 274

Women................................................................................. 539 567 264 269

Hispanic or Latino ethnicity............................................................ 3,267 3,484 228 239

Men..................................................................................... 1,324 1,412 234 246

Women................................................................................. 1,943 2,072 224 236

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.