Economic subjects | USA » Usual Weekly Earnings of Wage and Salary Workers

Source: http://www.doksinet For release 10:00 a.m (EST) Thursday, January 17, 2019 USDL-19-0077 Technical information: (202) 691-6378 • cpsinfo@bls.gov • wwwblsgov/cps Media contact: (202) 691-5902 • PressOffice@bls.gov USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS FOURTH QUARTER 2018 Median weekly earnings of the nations 115.9 million full-time wage and salary workers were $900 in the fourth quarter of 2018 (not seasonally adjusted), the U.S Bureau of Labor Statistics reported today This was 5.0 percent higher than a year earlier, compared with a gain of 22 percent in the Consumer Price Index for All Urban Consumers (CPI-U) over the same period. Data on usual weekly earnings are collected as part of the Current Population Survey, a nationwide sample survey of households in which respondents are asked, among other things, how much each wage and salary worker usually earns. (See the Technical Note in this news release) Data shown in this news release are not seasonally

adjusted unless otherwise specified. Highlights from the fourth-quarter data: • Median weekly earnings of full-time workers were $900 in the fourth quarter of 2018. Women had median weekly earnings of $794, or 80.0 percent of the $993 median for men (See table 2) • The womens-to-mens earnings ratio varied by race and ethnicity. White women earned 797 percent as much as their male counterparts, compared with 86.0 percent for Black women, 746 percent for Asian women, and 82.9 percent for Hispanic women (See table 2) • Among the major race and ethnicity groups, median weekly earnings of Blacks ($712) and Hispanics ($684) working at full-time jobs were lower than those of Whites ($931) and Asians ($1,095). By sex, median weekly earnings for Black men were $773, or 755 percent of the median for White men ($1,024). Median earnings for Hispanic men were $736, or 719 percent of the median for White men. The difference was less among women, as Black womens median earnings were $665,

or 81.5 percent of those for White women ($816), and earnings for Hispanic women were $610, or 74.8 percent of those for White women Earnings of Asian men ($1,256) and women ($937) were higher than those of their White counterparts. (See table 2) • By age, median weekly earnings were highest for men ages 55 to 64 at $1,191. Usual weekly earnings were highest for women ages 35 to 64: median weekly earnings were $877 for women ages 35 to 44, $876 for women ages 45 to 54, and $895 for women ages 55 to 64. Men and women ages 16 to 24 had the lowest median weekly earnings, $609 and $539, respectively. (See table 3.) Source: http://www.doksinet • Among the major occupational groups, persons employed full time in management, professional, and related occupations had the highest median weekly earnings$1,505 for men and $1,102 for women. Men and women employed in service jobs earned the least, $675 and $512, respectively. (See table 4) • By educational attainment, full-time

workers age 25 and over without a high school diploma had median weekly earnings of $543, compared with $746 for high school graduates (no college) and $1,340 for those holding at least a bachelors degree. Among college graduates with advanced degrees (masters, professional, and doctoral degrees), the highest earning 10 percent of male workers made $3,909 or more per week, compared with $2,884 or more for their female counterparts. (See table 5) • Seasonally adjusted median weekly earnings were $897 in the fourth quarter of 2018, little changed from the previous quarter ($893). (See table 1) Annual Averages for 2017 and 2018 In addition to the data for the fourth quarter, this news release includes 2017 and 2018 annual averages on median weekly earnings for major demographic and occupational groups, and 2018 annual average data for educational attainment groups. (See tables 7, 8, and 9) Annual average data on median usual weekly earnings for men and women by detailed occupational

categories will be posted online at www.blsgov/cps/tableshtm#weekearn when they become available Revision of Seasonally Adjusted Usual Weekly Earnings Data Seasonally adjusted median usual weekly earnings data shown in table 1 of this news release have been revised using updated seasonal adjustment factors from the Current Population Survey, a procedure done at the end of each calendar year. The revisions directly affected the number of full-time wage and salary workers and current dollar estimates of median weekly earnings; estimates of constant (1982-84) dollar median weekly earnings were indirectly affected. Seasonally adjusted estimates back to the first quarter of 2014 were subject to revision. The Usual Weekly Earnings news release for the first quarter of 2019, scheduled for release on April 16, 2019, will incorporate revisions to the seasonally adjusted data for the median weekly earnings in constant (1982-84) dollars. Seasonally adjusted constant (1982-84) dollar estimates

back to the first quarter of 2014 will be subject to revision due to annual revisions to seasonally adjusted data for the Consumer Price Index for All Urban Consumers (CPI-U). -2- Source: http://www.doksinet 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 households, 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 16to-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. Source: http://www.doksinet 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. Additional information about the reliability of data from the CPS is available on the BLS website at www.blsgov/cps/documentationhtm#reliability Seasonal adjustment 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. Over the course of a year, the size of the nations 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.blsgov/cps/documentationhtm#sa Source: http://www.doksinet Table 1. Median usual weekly earnings of full-time wage and salary workers by sex, quarterly averages, seasonally

adjusted Number of workers (in thousands) Median weekly earnings In current dollars Year and quarter In constant (1982-84) dollars Total Men Women Total $ Men $ Women $ Total $ Men $ Women $ 2009 4th quarter. 98,555 54,410 44,145 747 823 666 344 379 307 2010 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 98,143 99,605 100,412 99,958 54,098 55,028 55,620 55,486 44,045 44,577 44,792 44,472 748 742 746 750 836 814 821 826 662 671 670 676 344 342 342 341 384 374 377 376 304 309 308 308 2011 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 99,670 100,347 100,495 101,337 55,337 55,821 56,046 56,687 44,333 44,526 44,449 44,650 750 754 760 760 821 830 836 838 679 687 681

686 338 336 336 335 370 370 370 369 306 306 301 302 2012 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 102,161 102,525 102,587 103,748 57,110 57,079 57,207 57,772 45,051 45,447 45,380 45,977 764 772 766 771 841 870 836 868 693 687 693 690 335 337 333 333 368 380 364 375 303 300 302 298 2013 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 103,928 103,988 104,400 104,764 57,884 57,944 58,082 58,095 46,044 46,044 46,318 46,669 768 777 779 782 860 863 855 865 699 706 705 712 331 335 334 334 370 372 367 369 301 304 302 304 2014 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 105,633 106,342 106,726

107,436 58,682 59,486 59,543 60,123 46,951 46,855 47,183 47,313 790 781 798 795 865 860 878 878 716 715 721 724 335 330 336 336 367 363 370 371 304 302 304 306 2015 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 108,486 108,544 109,269 110,049 60,364 60,400 60,977 61,273 48,122 48,144 48,292 48,776 801 803 810 822 886 890 896 904 724 726 727 730 341 339 341 345 377 376 377 380 307 306 306 307 2016 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 110,427 110,929 111,566 111,463 61,627 61,787 62,082 62,249 48,799 49,142 49,483 49,214 823 827 833 846 903 914 917 924 743 744 750 760 346 345 346 349 380 382 381 382 312 311 312 314 2017 1st quarter. 2nd quarter.

3rd quarter. 4th quarter. 111,978 113,118 113,623 114,372 62,462 62,942 63,155 63,377 49,516 50,176 50,468 50,996 857 862 865 854 940 939 943 943 759 780 771 771 351 353 353 345 385 385 385 381 311 320 314 312 2018 1st quarter. 2nd quarter. 3rd quarter. 4th quarter. 114,678 115,481 115,945 116,160 64,007 64,136 64,198 64,237 50,671 51,345 51,747 51,923 874 880 893 897 955 964 980 991 776 780 801 796 350 351 355 355 383 385 389 392 311 312 318 315 NOTE: Updated population controls are introduced annually with the release of January data. Source: http://www.doksinet Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics, quarterly averages, not seasonally adjusted Number of workers (in thousands) Characteristic 4th 2017 4th 2018 SEX AND

AGE Total, 16 years and over. 114,151 Men, 16 years and over. 16 to 24 years. 25 years and over. Median weekly earnings In current dollars In constant (1982-84) dollars 4th 2017 4th 2018 4th 2017 4th 2018 115,928 $857 $900 $347 $357 63,033 5,503 57,530 63,879 5,417 58,461 946 581 998 993 609 1,045 383 236 405 394 241 415 Women, 16 years and over. 16 to 24 years. 25 years and over. 51,118 4,472 46,646 52,050 4,594 47,456 769 512 803 794 539 834 312 208 326 315 214 331 RACE, HISPANIC OR LATINO ETHNICITY, AND SEX White. Men. Women. 88,183 49,986 38,196 88,968 50,212 38,755 891 982 791 931 1,024 816 361 398 321 369 406 324 Black or African American. Men. Women. 14,769

6,962 7,806 15,162 7,295 7,866 666 681 654 712 773 665 270 276 265 282 307 264 Asian. Men. Women. 7,417 4,022 3,395 7,850 4,167 3,683 1,061 1,237 894 1,095 1,256 937 430 502 362 435 498 372 Hispanic or Latino ethnicity. Men. Women. 19,667 11,997 7,670 20,461 12,279 8,182 657 688 608 684 736 610 266 279 247 272 292 242 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. Source: http://www.doksinet Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino ethnicity, and sex, 4th quarter 2018 averages, not seasonally adjusted Total Number of workers (in thousands) TOTAL 16 years and over.

16 to 24 years. 16 to 19 years. 20 to 24 years. 25 years and over. 25 to 54 years. 25 to 34 years. 35 to 44 years. 45 to 54 years. 55 years and over. 55 to 64 years. 65 years and over. Men Median weekly earnings Number of workers (in thousands) 115,928 10,011 1,257 8,754 105,917 81,379 29,197 26,748 25,433 24,539 19,835 4,704 $900 581 472 594 946 924 820 996 1,006 1,015 1,037 914 White 16 years and over. 16 to 24 years. 25 years and over. 25 to 54 years. 55 years and over. 88,968 7,582 81,386 61,482 19,904

Black or African American 16 years and over. 16 to 24 years. 25 years and over. 25 to 54 years. 55 years and over. Women Median weekly earnings Number of workers (in thousands) Median weekly earnings 63,879 5,417 724 4,694 58,461 45,103 16,229 15,076 13,798 13,359 10,724 2,634 $993 609 501 624 1,045 1,014 877 1,112 1,138 1,166 1,191 1,037 52,050 4,594 534 4,060 47,456 36,276 12,969 11,672 11,635 11,180 9,111 2,069 $794 539 437 558 834 825 763 877 876 873 895 757 931 593 979 956 1,054 50,212 4,189 46,023 34,887 11,136 1,024 624 1,086 1,043 1,218 38,755 3,393 35,363 26,595 8,768 816 553 859 850 894 15,162 1,443 13,719 11,049 2,670 712 486 756 736 826 7,295 702 6,593 5,366 1,228 773 502 805 793 907 7,866 741 7,125 5,683 1,442 665 462 697 681 791 Asian 16 years and over. 16 to 24 years.

25 years and over. 25 to 54 years. 55 years and over. 7,850 463 7,387 5,919 1,468 1,095 696 1,146 1,175 942 4,167 234 3,933 3,225 708 1,256 787 1,324 1,370 1,150 3,683 229 3,454 2,693 760 937 623 964 994 863 Hispanic or Latino ethnicity 16 years and over. 16 to 24 years. 25 years and over. 25 to 54 years. 55 years and over. 20,461 2,427 18,034 15,166 2,868 684 545 716 711 761 12,279 1,386 10,893 9,085 1,808 736 599 765 753 846 8,182 1,041 7,141 6,081 1,060 610 490 643 651 609 Age, race, and Hispanic or Latino ethnicity 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. Source: http://www.doksinet 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 4th 2017 4th 2018 4th 2017 4th 2018 TOTAL Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations. Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and maintenance occupations.

Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations. Production occupations. Transportation and material moving occupations. 47,276 19,461 27,815 16,336 23,873 9,859 14,013 11,493 856 6,359 4,277 15,173 7,517 7,656 48,938 19,975 28,963 15,936 23,801 9,934 13,867 11,689 844 6,525 4,320 15,565 7,730 7,835 $1,235 1,336 1,167 539 719 755 707 810 523 807 902 698 704 692 $1,269 1,384 1,202 574 743 826 713 842 538 814 957 723 744 699 Men Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations.

Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and maintenance occupations. Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations. Production occupations. Transportation and material moving occupations. 22,638 10,273 12,364 8,165 9,453 5,634 3,818 10,942 672 6,192 4,078 11,836 5,340 6,495 23,404 10,578 12,826 7,559 9,556 5,487 4,070 11,167 646 6,341 4,180 12,192 5,681 6,511 1,475 1,548 1,434 602 845 902 760 818 556 807 910 743 776 715 1,505 1,561 1,459 675 852 969 729 858 575 815 964 782 804 748

Women Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations. Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and maintenance occupations. Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations. Production occupations. Transportation and material moving occupations.

24,639 9,188 15,451 8,171 14,420 4,225 10,195 551 184 168 199 3,338 2,177 1,161 25,534 9,398 16,137 8,377 14,244 4,447 9,797 522 197 184 140 3,372 2,049 1,323 1,052 1,137 1,012 499 675 618 691 597 489 810 658 558 572 520 1,102 1,222 1,038 512 698 668 708 581 490 762 692 584 594 569 NOTE: Updated population controls are introduced annually with the release of January data. Source: http://www.doksinet Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 4th quarter 2018 averages, not seasonally adjusted Characteristic Number of workers (in thousands) Upper limit of: First decile First quartile Second quartile (median) Third quartile Ninth decile SEX, RACE, AND HISPANIC OR LATINO ETHNICITY Total, 16 years and over. Men. Women. 115,928 63,879 52,050 $444 482 413 $601

652 554 $900 993 794 $1,437 1,579 1,248 $2,213 2,413 1,912 White. Men. Women. 88,968 50,212 38,755 460 493 422 616 678 569 931 1,024 816 1,474 1,616 1,266 2,278 2,484 1,914 Black or African American. Men. Women. 15,162 7,295 7,866 395 403 388 518 547 502 712 773 665 1,075 1,134 1,020 1,655 1,731 1,570 Asian. Men. Women. 7,850 4,167 3,683 488 519 446 690 774 611 1,095 1,256 937 1,868 1,995 1,571 2,704 2,918 2,304 Hispanic or Latino ethnicity. Men. Women. 20,461 12,279 8,182 399 421 378 501 535 464 684 736 610 1,011 1,083 915 1,570 1,669 1,370 EDUCATIONAL ATTAINMENT Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 105,917 6,934 26,746

27,130 45,107 27,963 17,144 468 360 421 459 621 589 732 625 436 542 606 880 804 1,025 946 543 746 853 1,340 1,205 1,544 1,500 727 1,072 1,237 1,999 1,868 2,309 2,294 1,002 1,534 1,759 2,952 2,696 3,416 Men, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 58,461 4,723 16,389 14,727 22,622 14,364 8,258 499 387 467 510 702 665 838 693 475 603 687 1,000 917 1,195 1,045 595 835 989 1,541 1,399 1,833 1,647 787 1,198 1,396 2,304 2,077 2,711 2,503 1,170 1,711 1,920 3,409 3,084 3,909 Women, 25 years and over. Less than a high school diploma. High school graduates, no college1.

Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 47,456 2,211 10,357 12,403 22,485 13,599 8,886 428 325 389 413 580 540 675 581 391 486 549 790 733 934 834 480 622 720 1,155 1,030 1,342 1,300 567 849 1,018 1,755 1,566 1,975 1,988 723 1,174 1,432 2,485 2,275 2,884 1 Includes persons with a high school diploma or equivalent. 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. 2 Source: http://www.doksinet 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 4th 2017 4th 2018 4th 2017 4th 2018 SEX AND AGE Total, 16 years and over. 23,779 24,763 $256 $272 Men, 16 years and over. 16 to 24 years. 25 years and over. 8,310 3,628 4,682 8,642 3,683 4,959 241 194 298 265 195 335 Women, 16 years and over. 16 to 24 years. 25 years and over.

15,468 4,652 10,816 16,121 4,671 11,450 263 196 303 275 200 315 RACE, HISPANIC OR LATINO ETHNICITY, AND SEX White. Men. Women. 18,642 6,389 12,253 19,269 6,646 12,623 258 239 266 275 268 279 Black or African American. Men. Women. 2,878 1,085 1,793 3,065 1,118 1,947 247 244 248 264 258 267 Asian. Men. Women. 1,206 446 760 1,351 499 853 259 248 265 283 283 284 Hispanic or Latino ethnicity. Men. Women. 3,882 1,379 2,504 4,461 1,538 2,923 262 264 260 267 292 256 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. Source: http://www.doksinet Table 7. Median usual weekly

earnings of full-time wage and salary workers by selected characteristics, annual averages Number of workers (in thousands) Characteristic 2017 2018 Median weekly earnings In current dollars In constant (1982-84) dollars 2017 2018 2017 2018 SEX AND AGE Total, 16 years and over. 113,272 115,567 $860 $886 $351 $353 Men, 16 years and over. 16 to 24 years. 25 years and over. 62,980 5,791 57,190 64,142 5,818 58,324 941 547 996 973 575 1,026 384 223 406 387 229 409 Women, 16 years and over. 16 to 24 years. 25 years and over. 50,291 4,490 45,801 51,425 4,611 46,814 770 499 810 789 522 830 314 204 330 314 208 330 RACE, HISPANIC OR LATINO ETHNICITY, AND SEX White. Men. Women. 87,730 50,003 37,727 88,953 50,570 38,384

890 971 795 916 1,002 817 363 396 324 365 399 325 Black or African American. Men. Women. 14,521 6,928 7,593 15,041 7,282 7,760 682 710 657 694 735 654 278 289 268 276 293 260 Asian. Men. Women. 7,320 4,014 3,306 7,643 4,169 3,474 1,043 1,207 903 1,095 1,241 937 426 492 368 436 494 373 Hispanic or Latino ethnicity. Men. Women. 19,615 11,896 7,719 20,297 12,226 8,071 655 690 603 680 720 617 267 282 246 271 287 246 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. Source: http://www.doksinet Table 8. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, annual averages

Occupation and sex Number of workers (in thousands) Median weekly earnings 2017 2018 2017 2018 TOTAL Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations. Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and maintenance occupations. Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations.

Production occupations. Transportation and material moving occupations. 47,207 19,414 27,794 16,044 23,686 9,953 13,733 11,509 962 6,147 4,400 14,825 7,589 7,236 48,808 19,863 28,945 16,288 23,714 10,077 13,637 11,546 850 6,414 4,282 15,210 7,668 7,542 $1,224 1,327 1,160 544 718 763 701 801 539 796 878 692 701 681 $1,246 1,355 1,176 569 742 798 717 824 581 808 934 707 723 689 Men Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations. Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and

maintenance occupations. Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations. Production occupations. Transportation and material moving occupations. 22,815 10,415 12,400 7,985 9,481 5,598 3,884 10,994 756 5,987 4,251 11,705 5,545 6,160 23,685 10,668 13,017 7,948 9,548 5,621 3,926 11,030 667 6,223 4,140 11,932 5,627 6,305 1,442 1,526 1,391 608 834 934 735 809 585 796 883 736 769 710 1,468 1,537 1,425 641 846 949 738 834 602 809 936 762 793 724 Women Management, professional, and related occupations. Management, business, and financial operations occupations. Professional and related occupations. Service occupations.

Sales and office occupations. Sales and related occupations. Office and administrative support occupations. Natural resources, construction, and maintenance occupations. Farming, fishing, and forestry occupations. Construction and extraction occupations. Installation, maintenance, and repair occupations. Production, transportation, and material moving occupations. Production occupations. Transportation and material moving occupations. 24,393 8,999 15,394 8,059 14,205 4,355 9,850 515 206 160 149 3,119 2,044 1,075 25,123 9,195 15,929 8,340 14,166 4,455 9,711 516 183 191 142 3,279 2,041 1,237 1,052 1,134 1,014 501 672 609 691 579 471 802 736 545 564 514 1,078 1,168 1,024 511 696 651 711 638 483 785 823 561

575 538 NOTE: Updated population controls are introduced annually with the release of January data. Source: http://www.doksinet Table 9. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 2018 annual averages Characteristic Number of workers (in thousands) Upper limit of: First decile First quartile Second quartile (median) Third quartile Ninth decile TOTAL Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 105,138 6,999 26,237 27,476 44,427 27,660 16,767 $458 350 410 451 620 589 728 $619 430 527 596 882 809 1,015 $932 553 730 826 1,324 1,198 1,521 $1,468 737 1,056 1,207 1,975 1,845 2,291 $2,265 1,020 1,508 1,703 2,913 2,690 3,395 Men Total, 25 years and over.

Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 58,324 4,761 16,105 14,721 22,738 14,451 8,287 492 385 455 501 678 632 822 679 477 592 672 990 914 1,170 1,026 607 819 951 1,524 1,384 1,774 1,625 809 1,181 1,377 2,297 2,072 2,697 2,489 1,152 1,650 1,901 3,367 2,982 3,906 Women Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree.

46,814 2,238 10,132 12,755 21,689 13,208 8,480 420 307 379 411 589 551 679 576 384 477 536 798 741 927 830 469 616 717 1,145 1,041 1,323 1,266 581 844 1,007 1,708 1,533 1,903 1,901 751 1,169 1,381 2,384 2,145 2,792 White, total Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 80,968 5,534 20,185 21,073 34,176 21,637 12,539 476 358 427 472 638 604 746 644 438 559 616 901 833 1,034 965 565 768 869 1,342 1,229 1,534 1,507 751 1,107 1,256 1,998 1,879 2,305 2,293 1,048 1,565 1,760 2,990 2,785 3,479 White men Total, 25 years and over. Less than a high school

diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 46,005 3,921 12,730 11,644 17,710 11,521 6,189 505 387 481 516 703 657 846 703 481 613 701 1,017 946 1,215 1,064 612 861 993 1,550 1,428 1,836 1,662 818 1,227 1,433 2,320 2,111 2,804 2,517 1,175 1,726 1,924 3,471 3,106 4,089 White women Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 34,963 1,613 7,454 9,429 16,467 10,117 6,350

432 311 386 421 602 574 699 593 387 489 555 813 752 943 857 473 641 742 1,152 1,051 1,330 1,293 580 880 1,038 1,707 1,538 1,898 1,909 753 1,211 1,428 2,397 2,185 2,775 See footnotes at end of table. Source: http://www.doksinet Table 9. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 2018 annual averages Continued Characteristic Number of workers (in thousands) Upper limit of: First decile First quartile Second quartile (median) Third quartile Ninth decile Black or African American, total Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 13,592

714 4,043 4,309 4,526 2,868 1,658 396 305 375 399 517 498 586 518 386 463 519 723 676 838 727 487 604 684 1,065 970 1,240 1,131 622 838 978 1,613 1,462 1,887 1,719 871 1,194 1,342 2,301 2,087 2,710 Black or African American men Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 6,551 386 2,192 2,004 1,970 1,312 657 411 341 390 422 510 494 593 553 424 495 570 732 684 900 775 526 667 755 1,139 1,038 1,360 1,182 710 955 1,114 1,706 1,515 2,017 1,809 977 1,283 1,480 2,492 2,124 2,899 Black or African American women Total, 25 years and over. Less than a high school diploma.

High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 7,040 328 1,851 2,305 2,556 1,556 1,000 386 286 343 388 523 501 583 499 349 426 490 716 669 800 683 423 546 628 1,013 937 1,169 1,052 562 721 867 1,547 1,431 1,758 1,629 705 1,042 1,196 2,209 2,005 2,508 Asian, total Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 7,194 362 1,088 1,042 4,702 2,476 2,226 478 359 382 445 652 583 782 690 438 487 585 946

834 1,126 1,140 521 659 817 1,465 1,270 1,731 1,856 668 970 1,215 2,124 1,895 2,419 2,698 929 1,403 1,670 2,977 2,676 3,432 Asian men Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 3,942 192 619 545 2,586 1,293 1,293 507 375 404 462 725 667 873 773 459 510 612 1,098 956 1,274 1,280 579 748 887 1,685 1,462 1,882 2,005 776 1,111 1,290 2,403 2,119 2,705 2,905 1,017 1,509 1,825 3,254 2,896 3,828 Asian women Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate

degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 3,252 170 470 497 2,116 1,183 933 444 351 347 436 585 508 713 612 424 448 552 840 743 988 974 491 583 717 1,242 1,124 1,460 1,559 602 773 1,106 1,881 1,633 2,105 2,289 731 1,138 1,525 2,508 2,236 3,027 See footnotes at end of table. Source: http://www.doksinet Table 9. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by selected characteristics, 2018 annual averages Continued Characteristic 1 Number of workers (in thousands) Upper limit of: First decile First quartile Second quartile (median) Third quartile Ninth decile Hispanic or Latino ethnicity, total Total, 25 years and over. Less than a high school diploma. High school graduates, no college1.

Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 17,916 4,173 5,682 4,157 3,903 2,701 1,202 400 351 400 434 516 500 606 511 429 504 572 734 692 902 710 544 672 763 1,101 1,002 1,333 1,058 708 926 1,081 1,699 1,577 1,910 1,630 966 1,366 1,509 2,477 2,298 2,897 Hispanic or Latino men Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 10,818 2,976 3,610 2,298 1,935 1,374 560 424 385 429 484 534 507 679 550 474 548 623 790 725 1,032 755 598 738 875 1,234 1,115 1,502

1,139 765 1,023 1,208 1,901 1,766 2,271 1,755 1,038 1,504 1,690 2,790 2,517 3,181 Hispanic or Latino women Total, 25 years and over. Less than a high school diploma. High school graduates, no college1. Some college or associate degree. Bachelor’s degree and higher2. Bachelor’s degree only. Advanced degree. 7,097 1,197 2,072 1,859 1,968 1,327 642 377 304 371 400 504 492 568 478 380 453 512 700 668 810 644 457 582 677 991 914 1,158 947 545 774 901 1,492 1,383 1,662 1,462 678 1,052 1,256 2,115 1,976 2,421 Includes persons with a high school diploma or equivalent. 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 2