Full text of The Employment Situation : September 2018
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Transmission of material in this news release is embargoed until 8:30 a.m. (EDT) Friday, October 5, 2018 USDL-18-1586 Technical information: Household data: (202) 691-6378 • cpsinfo@bls.gov • www.bls.gov/cps Establishment data: (202) 691-6555 • cesinfo@bls.gov • www.bls.gov/ces Media contact: (202) 691-5902 • PressOffice@bls.gov THE EMPLOYMENT SITUATION — SEPTEMBER 2018 The unemployment rate declined to 3.7 percent in September, and total nonfarm payroll employment increased by 134,000, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in professional and business services, in health care, and in transportation and warehousing. Chart 1. Unemployment rate, seasonally adjusted, September 2016 – September 2018 Chart 2. Nonfarm payroll employment over-the-month change, seasonally adjusted, September 2016 – September 2018 Percent Thousands 6.0 400 350 5.5 300 5.0 250 200 4.5 150 4.0 100 50 3.5 0 3.0 Sep-16 Dec-16 Mar-17 Jun-17 -50 Sep-17 Dec-17 Mar-18 Jun-18 Sep-18 Sep-16 Dec-16 Mar-17 Jun-17 Sep-17 Dec-17 Mar-18 Jun-18 Sep-18 Hurricane Florence Hurricane Florence affected parts of the East Coast during the September reference periods for the establishment and household surveys. Response rates for the two surveys were within normal ranges. For information on how severe weather can affect employment and hours data, see Question 8 in the Frequently Asked Questions section of this news release. BLS will release the state estimates of employment and unemployment on October 19, 2018, at 10:00 a.m. (EDT). Household Survey Data The unemployment rate declined by 0.2 percentage point to 3.7 percent in September, and the number of unemployed persons decreased by 270,000 to 6.0 million. Over the year, the unemployment rate and the number of unemployed persons declined by 0.5 percentage point and 795,000, respectively. (See table A-1.) Among the major worker groups, the unemployment rates for adult women (3.3 percent) and Whites (3.3 percent) declined in September. The jobless rates for adult men (3.4 percent), teenagers (12.8 percent), Blacks (6.0 percent), Asians (3.5 percent), and Hispanics (4.5 percent) showed little or no change over the month. (See tables A-1, A-2, and A-3.) The number of long-term unemployed (those jobless for 27 weeks or more) was little changed at 1.4 million over the month; these individuals accounted for 22.9 percent of the unemployed. (See table A12.) In September, the labor force participation rate remained at 62.7 percent, and the employmentpopulation ratio, at 60.4 percent, was little changed. (See table A-1.) The number of persons employed part time for economic reasons (sometimes referred to as involuntary part-time workers) increased by 263,000 to 4.6 million in September. These individuals, who would have preferred full-time employment, were working part time because their hours had been reduced or they were unable to find full-time jobs. (See table A-8.) In September, 1.6 million persons were marginally attached to the labor force, essentially unchanged from a year earlier. (Data are not seasonally adjusted.) These individuals were not in the labor force, wanted and were available for work, and had looked for a job sometime in the prior 12 months. They were not counted as unemployed because they had not searched for work in the 4 weeks preceding the survey. (See table A-16.) Among the marginally attached, there were 383,000 discouraged workers in September, about unchanged from a year earlier. (Data are not seasonally adjusted.) Discouraged workers are persons not currently looking for work because they believe no jobs are available for them. The remaining 1.2 million persons marginally attached to the labor force in September had not searched for work for reasons such as school attendance or family responsibilities. (See table A-16.) Establishment Survey Data Total nonfarm payroll employment rose by 134,000 in September, compared with an average monthly gain of 201,000 over the prior 12 months. In September, job gains occurred in professional and business services, in health care, and in transportation and warehousing. (See table B-1.) Employment in professional and business services increased by 54,000 in September and has risen by 560,000 over the year. Health care employment rose by 26,000 in September. Hospitals added 12,000 jobs, and employment in ambulatory health care services continued to trend up (+10,000). Over the year, health care employment has increased by 302,000. -2- In September, employment in transportation and warehousing rose by 24,000. Job gains occurred in warehousing and storage (+8,000) and in couriers and messengers (+5,000). Over the year, employment in transportation and warehousing has increased by 174,000. Construction employment continued to trend up in September (+23,000). The industry has added 315,000 jobs over the past 12 months. Employment in manufacturing continued to trend up in September (+18,000), reflecting a gain in durable goods industries. Over the year, manufacturing has added 278,000 jobs, with about four-fifths of the gain in the durable goods component. Within mining, employment in support activities for mining rose by 6,000 over the month and by 53,000 over the year. Employment in leisure and hospitality was little changed over the month (-17,000). Prior to September, employment in the industry had been on a modest upward trend. Some of the weakness in this industry in September may reflect the impact of Hurricane Florence. Employment showed little or no change over the month in other major industries, including wholesale trade, retail trade, information, financial activities, and government. The average workweek for all employees on private nonfarm payrolls remained unchanged at 34.5 hours in September. In manufacturing, the workweek edged down by 0.1 hour to 40.8 hours, and overtime edged down by 0.1 hour to 3.4 hours. The average workweek for production and nonsupervisory employees on private nonfarm payrolls was unchanged at 33.7 hours. (See tables B-2 and B-7.) In September, average hourly earnings for all employees on private nonfarm payrolls rose by 8 cents to $27.24. Over the year, average hourly earnings have increased by 73 cents, or 2.8 percent. Average hourly earnings of private-sector production and nonsupervisory employees increased by 6 cents to $22.81 in September. (See tables B-3 and B-8.) The change in total nonfarm payroll employment for July was revised up from +147,000 to +165,000, and the change for August was revised up from +201,000 to +270,000. With these revisions, employment gains in July and August combined were 87,000 more than previously reported. (Monthly revisions result from additional reports received from businesses and government agencies since the last published estimates and from the recalculation of seasonal factors.) After revisions, job gains have averaged 190,000 per month over the last 3 months. _____________ The Employment Situation for October is scheduled to be released on Friday, November 2, 2018, at 8:30 a.m. (EDT). -3- HOUSEHOLD DATA Summary table A. Household data, seasonally adjusted [Numbers in thousands] Category Sept. 2017 July 2018 Aug. 2018 Change from: Aug. 2018Sept. 2018 Sept. 2018 Employment status Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force.......................................................... . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed.................................................................. . Employment-population ratio......................................... . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255,562 161,082 63.0 154,324 60.4 6,759 4.2 94,480 257,843 162,245 62.9 155,965 60.5 6,280 3.9 95,598 258,066 161,776 62.7 155,542 60.3 6,234 3.9 96,290 258,290 161,926 62.7 155,962 60.4 5,964 3.7 96,364 224 150 0.0 420 0.1 -270 -0.2 74 Unemployment rates Total, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Adult men (20 years and over). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Adult women (20 years and over). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Teenagers (16 to 19 years). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . White. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Black or African American. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Asian. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hispanic or Latino ethnicity................................................ . 4.2 3.8 3.9 13.0 3.7 7.0 3.6 5.1 3.9 3.4 3.7 13.1 3.4 6.6 3.1 4.5 3.9 3.5 3.6 12.8 3.4 6.3 3.0 4.7 3.7 3.4 3.3 12.8 3.3 6.0 3.5 4.5 -0.2 -0.1 -0.3 0.0 -0.1 -0.3 0.5 -0.2 Total, 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Less than a high school diploma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . High school graduates, no college. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Some college or associate degree. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bachelor’s degree and higher............................................. . 3.5 6.7 4.3 3.6 2.2 3.2 5.1 4.0 3.2 2.2 3.2 5.7 3.9 3.5 2.1 3.0 5.5 3.7 3.2 2.0 -0.2 -0.2 -0.2 -0.3 -0.1 Reason for unemployment Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . Job leavers..................................................................... . Reentrants...................................................................... . New entrants................................................................... . 3,316 737 2,068 663 3,017 844 1,799 591 2,875 862 1,846 584 2,796 730 1,877 586 -79 -132 31 2 Duration of unemployment Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks.................................................................. . 15 to 26 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 weeks and over............................................................ . 2,223 1,879 962 1,733 2,091 1,820 971 1,435 2,208 1,720 923 1,332 2,065 1,720 861 1,384 -143 0 -62 52 Employed persons at work part time Part time for economic reasons. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Slack work or business conditions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Could only find part-time work. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part time for noneconomic reasons......................................... . 5,148 3,098 1,725 20,951 4,567 2,877 1,431 21,532 4,379 2,551 1,365 21,781 4,642 2,782 1,447 21,464 263 231 82 -317 Persons not in the labor force (not seasonally adjusted) Marginally attached to the labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Discouraged workers....................................................... . 1,569 421 1,498 512 1,443 434 1,577 383 – – - Over-the-month changes are not displayed for not seasonally adjusted data. NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data. ESTABLISHMENT DATA Summary table B. Establishment data, seasonally adjusted Sept. 2017 July 2018 Aug. 2018p Sept. 2018p EMPLOYMENT BY SELECTED INDUSTRY (Over-the-month change, in thousands) Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Motor vehicles and parts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Temporary help services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Education and health services1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Health care and social assistance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 16 15 0 9 6 5 -2.4 1 1 7.6 1.8 25.4 0.4 -8 8 27 10.5 14 10.2 -75 0 -2 165 137 41 0 19 22 21 -1.0 1 96 10.3 2.0 8.2 -3.0 1 3 39 10.3 36 33.0 13 -13 28 270 254 37 6 26 5 5 1.6 0 217 21.3 11.5 21.3 0.6 -3 12 65 12.4 58 42.4 21 9 16 134 121 46 5 23 18 17 -0.4 1 75 4.4 -20.0 23.8 0.1 0 13 54 10.6 18 29.8 -17 -1 13 (3-month average change, in thousands) Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 137 214 196 214 194 190 171 Category WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES AS A PERCENT OF ALL EMPLOYEES2 Total nonfarm women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private production and nonsupervisory employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . HOURS AND EARNINGS ALL EMPLOYEES Total private Average weekly hours. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Average hourly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Average weekly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Index of aggregate weekly hours (2007=100)3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Index of aggregate weekly payrolls (2007=100)4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . DIFFUSION INDEX (Over 1-month span)5 Total private (258 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing (76 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 49.5 48.1 82.4 49.7 48.3 82.4 49.7 48.3 82.4 49.7 48.3 82.4 34.3 $26.51 $909.29 107.3 -0.3 136.0 0.2 34.5 $27.07 $933.92 109.7 -0.2 142.0 0.1 34.5 $27.16 $937.02 110.0 0.3 142.8 0.6 34.5 $27.24 $939.78 110.1 0.1 143.3 0.4 57.0 54.6 59.7 59.9 63.6 61.8 60.9 62.5 Includes other industries, not shown separately. Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. 3 The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate hours. 4 The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average aggregate weekly payrolls. 5 Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal balance between industries with increasing and decreasing employment. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. 2 Frequently Asked Questions about Employment and Unemployment Estimates 1. Why are there two monthly measures of employment? The household survey and establishment survey both produce sample-based estimates of employment, and both have strengths and limitations. The establishment survey employment series has a smaller margin of error on the measurement of month-to-month change than the household survey because of its much larger sample size. An over-the-month employment change of about 100,000 is statistically significant in the establishment survey, while the threshold for a statistically significant change in the household survey is about 500,000. However, the household survey has a more expansive scope than the establishment survey because it includes self-employed workers whose businesses are unincorporated, unpaid family workers, agricultural workers, and private household workers, who are excluded by the establishment survey. The household survey also provides estimates of employment for demographic groups. For more information on the differences between the two surveys, please visit https://www.bls.gov/web/empsit/ces_cps_trends.htm. 2. Are undocumented immigrants counted in the surveys? It is likely that both surveys include at least some undocumented immigrants. However, neither the establishment nor the household survey is designed to identify the legal status of workers. Therefore, it is not possible to determine how many are counted in either survey. The establishment survey does not collect data on the legal status of workers. The household survey does include questions which identify the foreign and native born, but it does not include questions about the legal status of the foreign born. Data on the foreign and native born are published each month in table A-7 of The Employment Situation news release. 3. Why does the establishment survey have revisions? The establishment survey revises published estimates to improve its data series by incorporating additional information that was not available at the time of the initial publication of the estimates. The establishment survey revises its initial monthly estimates twice, in the immediately succeeding 2 months, to incorporate additional sample receipts from respondents in the survey and recalculated seasonal adjustment factors. For more information on the monthly revisions, please visit https://www.bls.gov/ces/cesrevinfo.htm. On an annual basis, the establishment survey incorporates a benchmark revision that re-anchors estimates to nearly complete employment counts available from unemployment insurance tax records. The benchmark helps to control for sampling and modeling errors in the estimates. For more information on the annual benchmark revision, please visit https://www.bls.gov/web/empsit/cesbmart.htm. 4. Does the establishment survey sample include small firms? Yes; about 40 percent of the establishment survey sample is comprised of business establishments with fewer than 20 employees. The establishment survey sample is designed to maximize the reliability of the statewide total nonfarm employment estimate; firms from all states, size classes, and industries are appropriately sampled to achieve that goal. 5. Does the establishment survey account for employment from new businesses? Yes; monthly establishment survey estimates include an adjustment to account for the net employment change generated by business births and deaths. The adjustment comes from an econometric model that forecasts the monthly net jobs impact of business births and deaths based on the actual past values of the net impact that can be observed with a lag from the Quarterly Census of Employment and Wages. The establishment survey uses modeling rather than sampling for this purpose because the survey is not immediately able to bring new businesses into the sample. There is an unavoidable lag between the birth of a new firm and its appearance on the sampling frame and availability for selection. BLS adds new businesses to the survey twice a year. 6. Is the count of unemployed persons limited to just those people receiving unemployment insurance benefits? No; the estimate of unemployment is based on a monthly sample survey of households. All persons who are without jobs and are actively seeking and available to work are included among the unemployed. (People on temporary layoff are included even if they do not actively seek work.) There is no requirement or question relating to unemployment insurance benefits in the monthly survey. 7. Does the official unemployment rate exclude people who want a job but are not currently looking for work? Yes; however, there are separate estimates of persons outside the labor force who want a job, including those who are not currently looking because they believe no jobs are available (discouraged workers). In addition, alternative measures of labor underutilization (some of which include discouraged workers and other groups not officially counted as unemployed) are published each month in table A-15 of The Employment Situation news release. For more information about these alternative measures, please visit https://www.bls.gov/cps/lfcharacteristics.htm#altmeasures. 8. How can unusually severe weather affect employment and hours estimates? In the establishment survey, the reference period is the pay period that includes the 12th of the month. Unusually severe weather is more likely to have an impact on average weekly hours than on employment. Average weekly hours are estimated for paid time during the pay period, including pay for holidays, sick leave, or other time off. The impact of severe weather on hours estimates typically, but not always, results in a reduction in average weekly hours. For example, some employees may be off work for part of the pay period and not receive pay for the time missed, while some workers, such as those dealing with cleanup or repair, may work extra hours. Typically, it is not possible to precisely quantify the effect of extreme weather on payroll employment estimates. In order for severe weather conditions to reduce employment estimates, employees have to be off work without pay for the entire pay period. Employees who receive pay for any part of the pay period, even 1 hour, are counted in the payroll employment figures. For more information on how often employees are paid, please visit https://www.bls.gov/opub/btn/volume-3/how-frequently-do-private-businesses-pay-workers.htm. In the household survey, the reference period is generally the calendar week that includes the 12th of the month. Persons who miss the entire week's work for weather-related events are counted as employed whether or not they are paid for the time off. The household survey collects data on the number of persons who had a job but were not at work due to bad weather. It also provides a measure of the number of persons who usually work full time but had reduced hours due to bad weather. Current and historical data are available on the household survey's most requested statistics page, please visit https://data.bls.gov/cgi-bin/surveymost?ln. Technical Note This news release presents statistics from two major surveys, the Current Population Survey (CPS; household survey) and the Current Employment Statistics survey (CES; establishment survey). The household survey provides information on the labor force, employment, and unemployment that appears in the "A" tables, marked HOUSEHOLD DATA. It is a sample survey of about 60,000 eligible households conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics (BLS). The establishment survey provides information on employment, hours, and earnings of employees on nonfarm payrolls; the data appear in the "B" tables, marked ESTABLISHMENT DATA. BLS collects these data each month from the payroll records of a sample of nonagricultural business establishments. Each month the CES program surveys about 149,000 businesses and government agencies, representing approximately 651,000 individual worksites, in order to provide detailed industry data on employment, hours, and earnings of workers on nonfarm payrolls. The active sample includes approximately one-third of all nonfarm payroll employees. For both surveys, the data for a given month relate to a particular week or pay period. In the household survey, the reference period is generally the calendar week that contains the 12th day of the month. In the establishment survey, the reference period is the pay period including the 12th, which may or may not correspond directly to the calendar week. Coverage, definitions, and differences between surveys Household survey. The sample is selected to reflect the entire civilian noninstitutional population. Based on responses to a series of questions on work and job search activities, each person 16 years and over in a sample household is classified as employed, unemployed, or not in the labor force. People are classified as employed if they did any work at all as paid employees during the reference week; worked in their own business, profession, or on their own farm; or worked without pay at least 15 hours in a family business or farm. People are also counted as employed if they were temporarily absent from their jobs because of illness, bad weather, vacation, labor-management disputes, or personal reasons. People are classified as unemployed if they meet all of the following criteria: they had no employment during the reference week; they were available for work at that time; and they made specific efforts to find employment sometime during the 4-week period ending with the reference week. Persons laid off from a job and expecting recall need not be looking for work to be counted as unemployed. The unemployment data derived from the household survey in no way depend upon the eligibility for or receipt of unemployment insurance benefits. The civilian labor force is the sum of employed and unemployed persons. Those persons not classified as employed or unemployed are not in the labor force. The unemployment rate is the number unemployed as a percent of the labor force. The labor force participation rate is the labor force as a percent of the population, and the employment-population ratio is the employed as a percent of the population. Additional information about the household survey can be found at https://www.bls.gov/cps/documentation.htm. Establishment survey. The sample establishments are drawn from private nonfarm businesses such as factories, offices, and stores, as well as from federal, state, and local government entities. Employees on nonfarm payrolls are those who received pay for any part of the reference pay period, including persons on paid leave. Persons are counted in each job they hold. Hours and earnings data are produced for the private sector for all employees and for production and nonsupervisory employees. Production and nonsupervisory employees are defined as production and related employees in manufacturing and mining and logging, construction workers in construction, and non-supervisory employees in private service-providing industries. Industries are classified on the basis of an establishment’s principal activity in accordance with the 2017 version of the North American Industry Classification System. Additional information about the establishment survey can be found at https://www.bls.gov/ces/. Differences in employment estimates. The numerous conceptual and methodological differences between the household and establishment surveys result in important distinctions in the employment estimates derived from the surveys. Among these are: • The household survey includes agricultural workers, self-employed workers whose businesses are unincorporated, unpaid family workers, and private household workers among the employed. These groups are excluded from the establishment survey. • The household survey includes people on unpaid leave among the employed. The establishment survey does not. • The household survey is limited to workers 16 years of age and older. The establishment survey is not limited by age. • The household survey has no duplication of individuals, because individuals are counted only once, even if they hold more than one job. In the establishment survey, employees working at more than one job and thus appearing on more than one payroll are counted separately for each appearance. Seasonal adjustment Over the course of a year, the size of the nation's labor force and the levels of employment and unemployment undergo regularly occurring fluctuations. These events may result from seasonal changes in weather, major holidays, and the opening and closing of schools. The effect of such seasonal variation can be very large. Because these 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, such as declines in employment or increases in the participation of women in the labor force, easier to spot. For example, in the household survey, the large number of youth entering the labor force each June is likely to obscure any other changes that have taken place relative to May, making it difficult to determine if the level of economic activity has risen or declined. Similarly, in the establishment survey, payroll employment in education declines by about 20 percent at the end of the spring term and later rises with the start of the fall term, obscuring the underlying employment trends in the industry. Because seasonal employment changes at the end and beginning of the school year can be estimated, the statistics can be adjusted to make underlying employment patterns more discernable. The seasonally adjusted figures provide a more useful tool with which to analyze changes in month-to-month economic activity. Many seasonally adjusted series are independently adjusted in both the household and establishment surveys. However, the adjusted series for many major estimates, such as total payroll employment, employment in most major sectors, total employment, and unemployment are computed by aggregating independently adjusted component series. For example, total unemployment is derived by summing the adjusted series for four major age-sex components; this differs from the unemployment estimate that would be obtained by directly adjusting the total or by combining the duration, reasons, or more detailed age categories. For both the household and establishment surveys, a concurrent seasonal adjustment methodology is used in which new seasonal factors are calculated each month using all relevant data, up to and including the data for the current month. In the household survey, new seasonal factors are used to adjust only the current month's data. In the establishment survey, however, new seasonal factors are used each month to adjust the three most recent monthly estimates. The prior 2 months are routinely revised to incorporate additional sample reports and recalculated seasonal adjustment factors. In both surveys, 5-year revisions to historical data are made once a year. Reliability of the estimates Statistics based on the household and establishment surveys 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. For example, the confidence interval for the monthly change in total nonfarm employment from the establishment survey is on the order of plus or minus 115,000. Suppose the estimate of nonfarm employment increases by 50,000 from one month to the next. The 90-percent confidence interval on the monthly change would range from -65,000 to +165,000 (50,000 +/- 115,000). These figures do not mean that the sample results are off by these magnitudes, but rather that there is about a 90-percent chance that the true over-themonth change lies within this interval. Since this range includes values of less than zero, we could not say with confidence that nonfarm employment had, in fact, increased that month. If, however, the reported nonfarm employment rise was 250,000, then all of the values within the 90-percent confidence interval would be greater than zero. In this case, it is likely (at least a 90-percent chance) that nonfarm employment had, in fact, risen that month. At an unemployment rate of around 6.0 percent, the 90-percent confidence interval for the monthly change in unemployment as measured by the household survey is about +/- 300,000, and for the monthly change in the unemployment rate it is about +/- 0.2 percentage point. In general, estimates involving many individuals or establishments have lower standard errors (relative to the size of the estimate) than estimates which are based on a small number of observations. The precision of estimates also is improved when the data are cumulated over time, such as for quarterly and annual averages. The household and establishment surveys are also affected by nonsampling error, which 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. For example, in the establishment survey, estimates for the most recent 2 months are based on incomplete returns; for this reason, these estimates are labeled preliminary in the tables. It is only after two successive revisions to a monthly estimate, when nearly all sample reports have been received, that the estimate is considered final. Another major source of nonsampling error in the establishment survey is the inability to capture, on a timely basis, employment generated by new firms. To correct for this systematic underestimation of employment growth, an estimation procedure with two components is used to account for business births. The first component excludes employment losses from business deaths from sample-based estimation in order to offset the missing employment gains from business births. This is incorporated into the samplebased estimation procedure by simply not reflecting sample units going out of business, but imputing to them the same employment trend as the other firms in the sample. This procedure accounts for most of the net birth/death employment. The second component is an ARIMA time series model designed to estimate the residual net birth/death employment not accounted for by the imputation. The historical time series used to create and test the ARIMA model was derived from the unemployment insurance universe micro-level database, and reflects the actual residual net of births and deaths over the past 5 years. The sample-based estimates from the establishment survey are adjusted once a year (on a lagged basis) to universe counts of payroll employment obtained from administrative records of the unemployment insurance program. The difference between the March sample-based employment estimates and the March universe counts is known as a benchmark revision, and serves as a rough proxy for total survey error. The new benchmarks also incorporate changes in the classification of industries. Over the past decade, absolute benchmark revisions for total nonfarm employment have averaged 0.3 percent, with a range from -0.7 percent to 0.6 percent. Other information 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. HOUSEHOLD DATA Table A-1. Employment status of the civilian population by sex and age [Numbers in thousands] Seasonally adjusted1 Not seasonally adjusted Employment status, sex, and age Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 TOTAL Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Persons who currently want a job. . . . . . . . . . . . . . . . . . 255,562 161,049 63.0 154,494 60.5 6,556 4.1 94,513 5,415 258,066 161,909 62.7 155,539 60.3 6,370 3.9 96,157 5,534 258,290 161,958 62.7 156,191 60.5 5,766 3.6 96,332 5,070 255,562 161,082 63.0 154,324 60.4 6,759 4.2 94,480 5,626 257,454 161,539 62.7 155,474 60.4 6,065 3.8 95,915 5,183 257,642 162,140 62.9 155,576 60.4 6,564 4.0 95,502 5,258 257,843 162,245 62.9 155,965 60.5 6,280 3.9 95,598 5,163 258,066 161,776 62.7 155,542 60.3 6,234 3.9 96,290 5,389 258,290 161,926 62.7 155,962 60.4 5,964 3.7 96,364 5,237 Men, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,516 85,516 69.2 82,119 66.5 3,397 4.0 37,999 124,816 86,212 69.1 83,062 66.5 3,150 3.7 38,604 124,928 85,815 68.7 82,814 66.3 3,002 3.5 39,113 123,516 85,519 69.2 81,902 66.3 3,617 4.2 37,996 124,509 86,157 69.2 82,784 66.5 3,373 3.9 38,352 124,604 86,056 69.1 82,522 66.2 3,534 4.1 38,548 124,704 85,950 68.9 82,684 66.3 3,266 3.8 38,754 124,816 85,854 68.8 82,545 66.1 3,309 3.9 38,962 124,928 85,856 68.7 82,645 66.2 3,211 3.7 39,072 Men, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,020 82,633 71.8 79,662 69.3 2,972 3.6 32,387 116,328 83,140 71.5 80,409 69.1 2,731 3.3 33,188 116,437 83,115 71.4 80,458 69.1 2,658 3.2 33,322 115,020 82,561 71.8 79,393 69.0 3,168 3.8 32,459 116,017 83,234 71.7 80,329 69.2 2,905 3.5 32,783 116,115 83,115 71.6 80,013 68.9 3,102 3.7 33,001 116,220 83,058 71.5 80,240 69.0 2,818 3.4 33,162 116,328 83,030 71.4 80,134 68.9 2,895 3.5 33,298 116,437 83,063 71.3 80,225 68.9 2,837 3.4 33,374 Women, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,047 75,533 57.2 72,375 54.8 3,158 4.2 56,514 133,250 75,697 56.8 72,477 54.4 3,220 4.3 57,553 133,362 76,142 57.1 73,378 55.0 2,765 3.6 57,220 132,047 75,563 57.2 72,422 54.8 3,142 4.2 56,484 132,944 75,382 56.7 72,690 54.7 2,692 3.6 57,562 133,038 76,084 57.2 73,054 54.9 3,030 4.0 56,954 133,139 76,295 57.3 73,281 55.0 3,013 3.9 56,844 133,250 75,922 57.0 72,997 54.8 2,925 3.9 57,328 133,362 76,070 57.0 73,317 55.0 2,753 3.6 57,292 Women, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,781 72,670 58.7 69,820 56.4 2,849 3.9 51,111 124,983 72,782 58.2 69,880 55.9 2,902 4.0 52,201 125,091 73,280 58.6 70,858 56.6 2,422 3.3 51,811 123,781 72,497 58.6 69,692 56.3 2,804 3.9 51,284 124,674 72,493 58.1 70,077 56.2 2,415 3.3 52,181 124,771 73,139 58.6 70,419 56.4 2,720 3.7 51,633 124,875 73,285 58.7 70,598 56.5 2,687 3.7 51,590 124,983 73,154 58.5 70,529 56.4 2,625 3.6 51,829 125,091 73,039 58.4 70,656 56.5 2,383 3.3 52,052 Both sexes, 16 to 19 years Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,761 5,746 34.3 5,011 29.9 735 12.8 11,015 16,755 5,987 35.7 5,250 31.3 737 12.3 10,767 16,762 5,562 33.2 4,876 29.1 686 12.3 11,199 16,761 6,024 35.9 5,238 31.3 786 13.0 10,737 16,763 5,812 34.7 5,068 30.2 745 12.8 10,951 16,755 5,886 35.1 5,144 30.7 743 12.6 10,869 16,748 5,902 35.2 5,127 30.6 775 13.1 10,846 16,755 5,592 33.4 4,879 29.1 714 12.8 11,163 16,762 5,824 34.7 5,081 30.3 743 12.8 10,938 1 The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns. NOTE: Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-2. Employment status of the civilian population by race, sex, and age [Numbers in thousands] Seasonally adjusted1 Not seasonally adjusted Employment status, race, sex, and age WHITE Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Men, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Women, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Both sexes, 16 to 19 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . BLACK OR AFRICAN AMERICAN Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Men, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Women, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Both sexes, 16 to 19 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table. Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 199,191 125,320 62.9 120,857 60.7 4,463 3.6 73,871 200,356 125,462 62.6 121,040 60.4 4,421 3.5 74,894 200,476 125,413 62.6 121,500 60.6 3,913 3.1 75,063 199,191 125,397 63.0 120,754 60.6 4,643 3.7 73,794 200,039 125,688 62.8 121,303 60.6 4,385 3.5 74,350 200,132 125,784 62.9 121,347 60.6 4,437 3.5 74,348 200,236 125,720 62.8 121,506 60.7 4,214 3.4 74,517 200,356 125,306 62.5 121,027 60.4 4,279 3.4 75,049 200,476 125,483 62.6 121,398 60.6 4,085 3.3 74,993 65,412 71.8 63,378 69.6 2,034 3.1 65,601 71.5 63,702 69.4 1,899 2.9 65,625 71.5 63,796 69.5 1,829 2.8 65,348 71.8 63,159 69.4 2,189 3.3 65,890 72.0 63,785 69.7 2,106 3.2 65,855 71.9 63,695 69.5 2,159 3.3 65,614 71.6 63,690 69.5 1,924 2.9 65,505 71.4 63,486 69.2 2,019 3.1 65,611 71.5 63,629 69.3 1,982 3.0 55,501 57.9 53,577 55.9 1,924 3.5 55,100 57.2 53,100 55.1 2,000 3.6 55,404 57.5 53,811 55.8 1,594 2.9 55,447 57.9 53,538 55.9 1,909 3.4 55,197 57.4 53,450 55.6 1,747 3.2 55,420 57.6 53,608 55.7 1,812 3.3 55,534 57.7 53,746 55.8 1,787 3.2 55,351 57.5 53,592 55.6 1,759 3.2 55,297 57.4 53,722 55.7 1,575 2.8 4,407 35.7 3,902 31.6 505 11.5 4,761 38.7 4,239 34.4 522 11.0 4,383 35.6 3,893 31.6 490 11.2 4,602 37.3 4,057 32.9 545 11.8 4,601 37.3 4,068 33.0 533 11.6 4,510 36.6 4,044 32.8 466 10.3 4,572 37.2 4,069 33.1 502 11.0 4,450 36.2 3,949 32.1 501 11.3 4,574 37.2 4,046 32.9 528 11.5 32,333 20,227 62.6 18,842 58.3 1,385 6.8 12,106 32,810 20,452 62.3 19,114 58.3 1,338 6.5 12,358 32,848 20,484 62.4 19,295 58.7 1,189 5.8 12,365 32,333 20,254 62.6 18,838 58.3 1,416 7.0 12,079 32,704 20,296 62.1 19,092 58.4 1,204 5.9 12,408 32,737 20,364 62.2 19,045 58.2 1,319 6.5 12,373 32,771 20,495 62.5 19,144 58.4 1,351 6.6 12,276 32,810 20,404 62.2 19,114 58.3 1,289 6.3 12,406 32,848 20,513 62.4 19,272 58.7 1,240 6.0 12,336 9,315 69.0 8,708 64.5 606 6.5 9,431 68.6 8,884 64.6 546 5.8 9,369 68.0 8,842 64.2 526 5.6 9,294 68.8 8,668 64.2 626 6.7 9,382 68.5 8,792 64.2 590 6.3 9,162 66.8 8,573 62.5 589 6.4 9,320 67.9 8,751 63.7 569 6.1 9,407 68.4 8,841 64.3 566 6.0 9,359 68.0 8,813 64.0 546 5.8 10,153 62.2 9,549 58.5 604 5.9 10,345 62.4 9,690 58.5 655 6.3 10,421 62.8 9,892 59.6 529 5.1 10,166 62.3 9,550 58.5 616 6.1 10,233 62.0 9,754 59.1 479 4.7 10,406 63.0 9,838 59.5 568 5.5 10,426 63.0 9,793 59.2 633 6.1 10,361 62.5 9,766 59.0 595 5.7 10,427 62.9 9,874 59.5 554 5.3 759 30.2 584 23.3 174 23.0 676 27.1 539 21.6 137 20.3 694 27.8 560 22.5 134 19.3 794 31.6 619 24.7 174 22.0 681 27.3 547 21.9 135 19.8 796 31.9 635 25.4 162 20.3 750 30.0 600 24.1 149 19.9 635 25.5 508 20.3 128 20.1 726 29.1 585 23.5 140 19.3 HOUSEHOLD DATA Table A-2. Employment status of the civilian population by race, sex, and age — Continued [Numbers in thousands] Seasonally adjusted1 Not seasonally adjusted Employment status, race, sex, and age ASIAN Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sept. 2017 15,483 9,973 64.4 9,619 62.1 353 3.5 5,510 Aug. 2018 16,093 10,279 63.9 9,967 61.9 312 3.0 5,814 Sept. 2018 16,011 10,289 64.3 9,933 62.0 356 3.5 5,722 Sept. 2017 15,483 9,985 64.5 9,626 62.2 359 3.6 5,498 May 2018 15,874 9,932 62.6 9,720 61.2 212 2.1 5,942 June 2018 15,934 10,140 63.6 9,817 61.6 322 3.2 5,794 July 2018 15,922 10,153 63.8 9,838 61.8 314 3.1 5,769 Aug. 2018 16,093 10,259 63.7 9,950 61.8 309 3.0 5,834 1 The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns. NOTE: Estimates for the above race groups will not sum to totals shown in table A-1 because data are not presented for all races. Updated population controls are introduced annually with the release of January data. Sept. 2018 16,011 10,300 64.3 9,938 62.1 362 3.5 5,712 HOUSEHOLD DATA Table A-3. Employment status of the Hispanic or Latino population by sex and age [Numbers in thousands] Seasonally adjusted1 Not seasonally adjusted Employment status, sex, and age HISPANIC OR LATINO ETHNICITY Civilian noninstitutional population. . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio.............. . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Men, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio.............. . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . Women, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio.............. . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . Both sexes, 16 to 19 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio.............. . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . 1 Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 41,579 27,599 66.4 26,270 63.2 1,329 4.8 13,980 42,863 28,219 65.8 26,898 62.8 1,322 4.7 14,644 42,959 28,316 65.9 27,105 63.1 1,211 4.3 14,642 41,579 27,609 66.4 26,209 63.0 1,400 5.1 13,970 42,592 28,205 66.2 26,827 63.0 1,378 4.9 14,387 42,679 28,369 66.5 27,077 63.4 1,292 4.6 14,310 42,767 28,495 66.6 27,223 63.7 1,273 4.5 14,272 42,863 28,242 65.9 26,927 62.8 1,315 4.7 14,621 42,959 28,346 66.0 27,059 63.0 1,287 4.5 14,613 15,124 80.8 14,584 77.9 540 3.6 15,428 79.7 14,899 77.0 528 3.4 15,414 79.5 14,888 76.8 526 3.4 15,110 80.7 14,502 77.5 608 4.0 15,444 80.3 14,845 77.2 599 3.9 15,557 80.8 14,961 77.7 596 3.8 15,519 80.4 15,017 77.8 502 3.2 15,421 79.7 14,849 76.7 572 3.7 15,416 79.5 14,822 76.4 594 3.9 11,251 59.2 10,630 55.9 621 5.5 11,513 58.8 10,902 55.7 611 5.3 11,682 59.6 11,175 57.0 507 4.3 11,249 59.2 10,637 56.0 612 5.4 11,507 59.2 10,917 56.2 590 5.1 11,626 59.7 11,065 56.8 561 4.8 11,684 59.8 11,131 57.0 553 4.7 11,593 59.2 11,009 56.3 584 5.0 11,673 59.5 11,172 57.0 501 4.3 1,224 31.7 1,056 27.4 168 13.7 1,279 32.4 1,097 27.8 182 14.2 1,220 30.9 1,042 26.3 179 14.6 1,250 32.4 1,070 27.7 180 14.4 1,254 31.9 1,065 27.1 189 15.1 1,186 30.2 1,051 26.7 135 11.4 1,292 32.8 1,075 27.3 218 16.8 1,228 31.1 1,068 27.1 160 13.0 1,257 31.8 1,065 26.9 192 15.3 The population figures are not adjusted for seasonal variation; therefore, identical numbers appear in the unadjusted and seasonally adjusted columns. NOTE: 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. HOUSEHOLD DATA Table A-4. Employment status of the civilian population 25 years and over by educational attainment [Numbers in thousands] Not seasonally adjusted Educational attainment Seasonally adjusted Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 Less than a high school diploma Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,611 46.4 9,985 43.7 626 5.9 10,307 46.3 9,790 44.0 516 5.0 10,273 46.4 9,773 44.2 499 4.9 10,552 46.2 9,846 43.1 706 6.7 10,242 45.2 9,688 42.7 554 5.4 10,508 45.9 9,926 43.4 582 5.5 10,212 46.9 9,695 44.5 517 5.1 10,311 46.3 9,728 43.7 583 5.7 10,189 46.0 9,626 43.5 563 5.5 High school graduates, no college1 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,147 57.8 34,676 55.4 1,471 4.1 36,344 57.6 34,919 55.4 1,425 3.9 36,540 58.0 35,268 56.0 1,272 3.5 35,916 57.4 34,377 55.0 1,539 4.3 35,702 57.2 34,306 54.9 1,395 3.9 36,050 57.9 34,549 55.5 1,501 4.2 36,534 57.9 35,056 55.5 1,478 4.0 36,121 57.3 34,699 55.0 1,422 3.9 36,224 57.5 34,873 55.3 1,351 3.7 Some college or associate degree Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,583 65.9 36,249 63.6 1,333 3.5 36,930 64.9 35,552 62.5 1,378 3.7 37,364 65.2 36,204 63.1 1,160 3.1 37,540 65.9 36,189 63.5 1,351 3.6 37,921 65.7 36,694 63.6 1,228 3.2 37,863 65.3 36,602 63.2 1,261 3.3 37,531 65.4 36,340 63.3 1,191 3.2 37,300 65.6 35,987 63.3 1,313 3.5 37,423 65.3 36,239 63.2 1,184 3.2 Bachelor’s degree and higher2 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,711 74.2 54,464 72.6 1,247 2.2 57,237 73.5 55,906 71.8 1,331 2.3 57,279 73.6 56,160 72.2 1,120 2.0 55,621 74.1 54,378 72.5 1,242 2.2 56,739 74.1 55,593 72.6 1,147 2.0 56,613 74.0 55,296 72.2 1,317 2.3 56,940 73.4 55,672 71.8 1,268 2.2 57,638 74.0 56,452 72.5 1,186 2.1 57,258 73.6 56,124 72.1 1,134 2.0 1 Includes persons with a high school diploma or equivalent. Includes persons with bachelor’s, master’s, professional, and doctoral degrees. NOTE: Updated population controls are introduced annually with the release of January data. 2 HOUSEHOLD DATA Table A-5. Employment status of the civilian population 18 years and over by veteran status, period of service, and sex, not seasonally adjusted [Numbers in thousands] Total Employment status, veteran status, and period of service Sept. 2017 Men Sept. 2018 Sept. 2017 Women Sept. 2018 Sept. 2017 Sept. 2018 VETERANS, 18 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,511 10,373 50.6 10,063 49.1 309 3.0 10,138 19,120 9,482 49.6 9,161 47.9 320 3.4 9,638 18,477 9,085 49.2 8,834 47.8 251 2.8 9,392 17,251 8,313 48.2 8,055 46.7 258 3.1 8,938 2,034 1,288 63.3 1,230 60.5 58 4.5 746 1,869 1,169 62.5 1,107 59.2 62 5.3 700 Gulf War-era II veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,119 3,306 80.3 3,176 77.1 131 3.9 813 4,121 3,355 81.4 3,224 78.2 131 3.9 766 3,373 2,769 82.1 2,675 79.3 94 3.4 604 3,389 2,807 82.8 2,709 79.9 98 3.5 582 746 537 72.0 500 67.1 37 6.9 209 733 548 74.8 515 70.3 33 6.0 184 Gulf War-era I veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,389 2,749 81.1 2,679 79.0 71 2.6 640 3,152 2,519 79.9 2,447 77.6 71 2.8 633 2,896 2,361 81.5 2,307 79.6 55 2.3 535 2,682 2,160 80.5 2,110 78.7 50 2.3 522 493 388 78.7 372 75.4 16 4.1 105 469 358 76.4 337 71.9 21 5.9 111 World War II, Korean War, and Vietnam-era veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,992 1,830 22.9 1,784 22.3 46 2.5 6,162 7,537 1,580 21.0 1,521 20.2 60 3.8 5,957 7,703 1,757 22.8 1,711 22.2 46 2.6 5,946 7,280 1,531 21.0 1,472 20.2 60 3.9 5,749 289 73 25.4 73 25.4 0 – 216 257 49 19.0 49 19.0 0 – 208 Veterans of other service periods Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,011 2,487 49.6 2,425 48.4 63 2.5 2,524 4,310 2,028 47.0 1,970 45.7 58 2.9 2,282 4,505 2,198 48.8 2,140 47.5 57 2.6 2,307 3,900 1,814 46.5 1,765 45.2 49 2.7 2,086 506 290 57.3 284 56.2 5 1.9 216 410 213 52.1 205 50.0 8 4.0 197 NONVETERANS, 18 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,860 148,380 65.7 142,394 63.0 5,986 4.0 77,480 230,212 150,416 65.3 145,204 63.1 5,212 3.5 79,796 100,353 75,362 75.1 72,353 72.1 3,009 4.0 24,991 103,100 76,597 74.3 73,960 71.7 2,637 3.4 26,503 125,507 73,018 58.2 70,041 55.8 2,977 4.1 52,489 127,112 73,819 58.1 71,244 56.0 2,575 3.5 53,293 NOTE: Veterans served on active duty in the U.S. Armed Forces and were not on active duty at the time of the survey. Nonveterans never served on active duty in the U.S. Armed Forces. Veterans could have served anywhere in the world during these periods of service: Gulf War era II (September 2001-present), Gulf War era I (August 1990-August 2001), Vietnam era (August 1964-April 1975), Korean War (July 1950-January 1955), World War II (December 1941-December 1946), and other service periods (all other time periods). Veterans who served in more than one wartime period are classified only in the most recent one. Veterans who served during one of the selected wartime periods and another period are classified only in the wartime period. Dash indicates no data or data that do not meet publication criteria (values not shown where base is less than 75,000). HOUSEHOLD DATA Table A-6. Employment status of the civilian population by sex, age, and disability status, not seasonally adjusted [Numbers in thousands] Persons with a disability Employment status, sex, and age Sept. 2017 Sept. 2018 Persons with no disability Sept. 2017 Sept. 2018 TOTAL, 16 years and over Civilian noninstitutional population..................................................... . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... . 30,635 6,481 21.2 5,994 19.6 487 7.5 24,154 30,254 6,489 21.4 6,018 19.9 470 7.3 23,765 224,927 154,568 68.7 148,499 66.0 6,068 3.9 70,359 228,036 155,469 68.2 150,173 65.9 5,296 3.4 72,567 Men, 16 to 64 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... . 2,866 35.8 2,645 33.0 221 7.7 5,144 2,793 36.4 2,589 33.7 204 7.3 4,882 77,168 82.8 74,141 79.5 3,027 3.9 16,044 77,334 82.2 74,717 79.4 2,617 3.4 16,772 Women, 16 to 64 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... . 2,356 30.4 2,153 27.8 203 8.6 5,393 2,488 31.8 2,275 29.1 213 8.6 5,335 68,889 71.2 66,094 68.3 2,794 4.1 27,830 69,058 71.2 66,677 68.7 2,381 3.4 27,989 Both sexes, 65 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... . 1,260 8.5 1,197 8.0 63 5.0 13,617 1,208 8.2 1,154 7.8 54 4.4 13,547 8,512 24.3 8,264 23.6 247 2.9 26,485 9,077 24.6 8,779 23.8 298 3.3 27,806 NOTE: A person with a disability has at least one of the following conditions: is deaf or has serious difficulty hearing; is blind or has serious difficulty seeing even when wearing glasses; has serious difficulty concentrating, remembering, or making decisions because of a physical, mental, or emotional condition; has serious difficulty walking or climbing stairs; has difficulty dressing or bathing; or has difficulty doing errands alone such as visiting a doctor’s office or shopping because of a physical, mental, or emotional condition. Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted [Numbers in thousands] Total Employment status and nativity Sept. 2017 Men Sept. 2018 Sept. 2017 Women Sept. 2018 Sept. 2017 Sept. 2018 Foreign born, 16 years and over Civilian noninstitutional population.................................. . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate................................................. . Employed......................................................... . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed...................................................... . Unemployment rate........................................... . Not in labor force................................................... . 41,642 27,846 66.9 26,754 64.2 1,092 3.9 13,796 43,112 28,315 65.7 27,471 63.7 844 3.0 14,796 20,308 16,058 79.1 15,529 76.5 529 3.3 4,250 20,929 16,168 77.3 15,776 75.4 393 2.4 4,761 21,334 11,788 55.3 11,225 52.6 563 4.8 9,546 22,183 12,147 54.8 11,696 52.7 451 3.7 10,035 Native born, 16 years and over Civilian noninstitutional population.................................. . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate................................................. . Employed......................................................... . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed...................................................... . Unemployment rate........................................... . Not in labor force................................................... . 213,920 133,203 62.3 127,739 59.7 5,464 4.1 80,717 215,178 133,642 62.1 128,720 59.8 4,922 3.7 81,536 103,207 69,458 67.3 66,590 64.5 2,868 4.1 33,749 103,999 69,647 67.0 67,038 64.5 2,609 3.7 34,352 110,713 63,745 57.6 61,149 55.2 2,596 4.1 46,968 111,179 63,995 57.6 61,682 55.5 2,313 3.6 47,184 NOTE: The foreign born are those residing in the United States who were not U.S. citizens at birth. That is, they were born outside the United States or one of its outlying areas such as Puerto Rico or Guam, to parents neither of whom was a U.S. citizen. The native born are persons who were born in the United States or one of its outlying areas such as Puerto Rico or Guam or who were born abroad of at least one parent who was a U.S. citizen. Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-8. Employed persons by class of worker and part-time status [In thousands] Not seasonally adjusted Category CLASS OF WORKER Agriculture and related industries. . . . . . . . . . . . . . . . . Wage and salary workers1. . . . . . . . . . . . . . . . . . . . . . Self-employed workers, unincorporated. . . . . . . Unpaid family workers. . . . . . . . . . . . . . . . . . . . . . . . . . . Nonagricultural industries. . . . . . . . . . . . . . . . . . . . . . . . . . Wage and salary workers1. . . . . . . . . . . . . . . . . . . . . . Government.................................... . Private industries.............................. . Private households. . . . . . . . . . . . . . . . . . . . . . . . . . Other industries............................. . Self-employed workers, unincorporated. . . . . . . Unpaid family workers. . . . . . . . . . . . . . . . . . . . . . . . . . . PERSONS AT WORK PART TIME2 All industries Part time for economic reasons3. . . . . . . . . . . . . . . . . . Slack work or business conditions. . . . . . . . . . . . . Could only find part-time work. . . . . . . . . . . . . . . . . . Part time for noneconomic reasons4. . . . . . . . . . . . . . Nonagricultural industries Part time for economic reasons3. . . . . . . . . . . . . . . . . . Slack work or business conditions. . . . . . . . . . . . . Could only find part-time work. . . . . . . . . . . . . . . . . . Part time for noneconomic reasons4. . . . . . . . . . . . . . 1 Seasonally adjusted Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 2,367 1,616 732 19 152,126 143,214 20,873 122,341 583 121,758 8,871 42 2,465 1,660 789 17 153,074 144,183 20,218 123,965 782 123,183 8,812 79 2,555 1,726 806 23 153,636 144,570 20,674 123,896 741 123,154 8,970 96 2,311 1,554 745 – 151,942 142,959 20,908 122,055 – 121,423 8,861 – 2,345 1,573 742 – 153,211 144,124 21,045 123,090 – 122,319 9,013 – 2,350 1,567 736 – 153,309 144,524 20,986 123,478 – 122,757 8,728 – 2,498 1,658 783 – 153,473 144,447 20,900 123,541 – 122,772 8,880 – 2,345 1,528 772 – 153,262 144,276 20,791 123,513 – 122,749 8,861 – 2,474 1,640 812 – 153,474 144,389 20,743 123,634 – 122,842 8,959 – 4,818 2,908 1,702 21,001 4,319 2,521 1,268 19,991 4,306 2,606 1,464 21,475 5,148 3,098 1,725 20,951 4,948 3,004 1,480 21,095 4,743 3,042 1,447 21,304 4,567 2,877 1,431 21,532 4,379 2,551 1,365 21,781 4,642 2,782 1,447 21,464 4,740 2,864 1,682 20,677 4,263 2,492 1,263 19,653 4,238 2,572 1,459 21,077 5,048 3,054 1,702 20,619 4,872 2,948 1,464 20,766 4,662 3,004 1,431 20,941 4,482 2,836 1,415 21,177 4,311 2,522 1,355 21,448 4,547 2,752 1,441 21,057 Includes self-employed workers whose businesses are incorporated. Refers to those who worked 1 to 34 hours during the survey reference week and excludes employed persons who were absent from their jobs for the entire week. 3 Refers to those who worked 1 to 34 hours during the reference week for an economic reason such as slack work or unfavorable business conditions, inability to find full-time work, or seasonal declines in demand. 4 Refers to persons who usually work part time for noneconomic reasons such as childcare problems, family or personal obligations, school or training, retirement or Social Security limits on earnings, and other reasons. This excludes persons who usually work full time but worked only 1 to 34 hours during the reference week for reasons such as vacations, holidays, illness, and bad weather. - Data not available. NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data. 2 HOUSEHOLD DATA Table A-9. Selected employment indicators [Numbers in thousands] Not seasonally adjusted Characteristic Seasonally adjusted Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 AGE AND SEX Total, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154,494 5,011 2,036 2,975 149,482 14,108 135,375 99,686 34,793 32,232 32,661 35,688 155,539 5,250 1,971 3,280 150,289 14,122 136,167 99,902 35,200 32,568 32,134 36,265 156,191 4,876 1,826 3,050 151,315 13,910 137,405 100,763 35,658 32,661 32,444 36,642 154,324 5,238 1,972 3,206 149,085 14,211 134,845 99,235 34,652 32,045 32,538 35,610 155,474 5,068 1,771 3,285 150,406 14,069 136,373 100,105 35,221 32,492 32,392 36,268 155,576 5,144 1,797 3,344 150,432 14,046 136,422 100,204 35,288 32,566 32,350 36,218 155,965 5,127 1,815 3,315 150,838 14,128 136,762 100,417 35,444 32,690 32,283 36,346 155,542 4,879 1,770 3,110 150,663 13,841 136,749 100,276 35,316 32,636 32,324 36,473 155,962 5,081 1,766 3,293 150,881 14,026 136,856 100,316 35,500 32,489 32,327 36,540 Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,119 2,457 932 1,525 79,662 7,263 72,398 53,247 18,684 17,361 17,202 19,152 83,062 2,653 935 1,718 80,409 7,227 73,182 53,638 19,020 17,692 16,927 19,543 82,814 2,356 799 1,557 80,458 7,107 73,351 53,808 19,199 17,594 17,015 19,542 81,902 2,509 899 1,600 79,393 7,313 72,028 52,980 18,605 17,262 17,114 19,048 82,784 2,455 849 1,610 80,329 7,205 73,131 53,728 18,992 17,634 17,101 19,403 82,522 2,509 855 1,644 80,013 7,191 72,869 53,588 19,006 17,598 16,984 19,281 82,684 2,444 814 1,629 80,240 7,149 73,126 53,673 19,054 17,691 16,928 19,453 82,545 2,410 812 1,598 80,134 6,990 73,106 53,599 19,007 17,642 16,950 19,507 82,645 2,420 782 1,637 80,225 7,162 73,020 53,569 19,121 17,509 16,939 19,451 Women, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,375 2,554 1,104 1,450 69,820 6,844 62,976 46,440 16,110 14,871 15,460 16,536 72,477 2,597 1,036 1,561 69,880 6,895 62,985 46,264 16,180 14,876 15,207 16,722 73,378 2,520 1,027 1,493 70,858 6,803 64,055 46,954 16,459 15,067 15,428 17,100 72,422 2,729 1,073 1,606 69,692 6,898 62,817 46,255 16,047 14,784 15,425 16,562 72,690 2,613 922 1,675 70,077 6,864 63,243 46,377 16,229 14,858 15,291 16,865 73,054 2,635 942 1,700 70,419 6,855 63,553 46,616 16,282 14,969 15,366 16,937 73,281 2,683 1,001 1,687 70,598 6,979 63,636 46,744 16,390 14,998 15,355 16,892 72,997 2,468 958 1,512 70,529 6,851 63,643 46,677 16,309 14,994 15,374 16,966 73,317 2,661 983 1,656 70,656 6,864 63,836 46,747 16,379 14,979 15,388 17,089 MARITAL STATUS Married men, spouse present1. . . . . . . . . . . . . . . . . . . . . . . . . . Married women, spouse present1. . . . . . . . . . . . . . . . . . . . . . . Women who maintain families2. . . . . . . . . . . . . . . . . . . . . . . . . 45,846 35,696 9,673 45,882 35,542 9,806 46,205 36,090 9,887 45,594 35,591 – 46,041 35,978 – 45,689 35,976 – 45,751 35,986 – 45,858 36,070 – 45,966 35,984 – FULL- OR PART-TIME STATUS Full-time workers3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part-time workers4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127,235 27,259 129,975 25,564 129,466 26,726 126,676 27,603 128,657 26,883 128,568 27,028 129,021 26,992 128,577 26,913 128,894 27,055 MULTIPLE JOBHOLDERS Total multiple jobholders. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Percent of total employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,359 4.8 7,540 4.8 7,670 4.9 7,350 4.8 7,442 4.8 7,619 4.9 8,072 5.2 7,944 5.1 7,707 4.9 SELF-EMPLOYMENT Self-employed workers, incorporated. . . . . . . . . . . . . . . . . . . Self-employed workers, unincorporated. . . . . . . . . . . . . . . . . 5,974 9,602 5,768 9,601 5,840 9,776 – 9,605 – 9,755 – 9,464 – 9,663 – 9,633 – 9,771 1 Refers to persons in opposite-sex married couples only. Refers to female householders residing with one or more family members, but not an opposite-sex spouse. 3 Employed full-time workers are persons who usually work 35 hours or more per week. 4 Employed part-time workers are persons who usually work less than 35 hours per week. - Data not available. NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data. 2 HOUSEHOLD DATA Table A-10. Selected unemployment indicators, seasonally adjusted Characteristic Number of unemployed persons (in thousands) Unemployment rates Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 AGE AND SEX Total, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years.................................... . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,759 786 319 472 5,973 1,162 4,842 3,648 1,578 1,042 1,027 1,174 6,234 714 274 430 5,520 1,012 4,483 3,337 1,510 972 855 1,155 5,964 743 282 446 5,221 1,036 4,210 3,149 1,299 969 882 1,056 4.2 13.0 13.9 12.8 3.9 7.6 3.5 3.5 4.4 3.2 3.1 3.2 3.8 12.8 14.8 12.2 3.4 7.1 3.0 3.1 3.8 2.8 2.7 2.8 4.0 12.6 14.4 11.4 3.7 7.4 3.3 3.3 3.9 3.1 3.0 3.1 3.9 13.1 13.6 12.5 3.5 6.9 3.2 3.2 3.5 3.1 2.9 3.1 3.9 12.8 13.4 12.2 3.5 6.8 3.2 3.2 4.1 2.9 2.6 3.1 3.7 12.8 13.8 11.9 3.3 6.9 3.0 3.0 3.5 2.9 2.7 2.8 Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years.................................... . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . 3,617 449 166 287 3,168 693 2,499 1,887 836 514 537 613 3,309 414 150 262 2,895 570 2,317 1,717 821 470 426 600 3,211 373 134 241 2,837 575 2,281 1,707 704 539 464 574 4.2 15.2 15.6 15.2 3.8 8.7 3.4 3.4 4.3 2.9 3.0 3.1 3.9 16.0 18.0 15.1 3.5 7.9 3.1 3.1 3.8 2.7 2.8 3.0 4.1 14.7 16.5 13.2 3.7 8.2 3.2 3.2 3.8 2.9 3.0 3.2 3.8 15.5 16.1 14.5 3.4 7.4 3.0 3.0 3.5 2.6 2.8 3.1 3.9 14.7 15.6 14.1 3.5 7.5 3.1 3.1 4.1 2.6 2.4 3.0 3.7 13.4 14.6 12.8 3.4 7.4 3.0 3.1 3.6 3.0 2.7 2.9 Women, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . 16 to 19 years.................................... . 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . . . . . 3,142 337 153 185 2,804 468 2,343 1,761 742 529 490 576 2,925 300 125 168 2,625 442 2,166 1,620 689 502 430 539 2,753 370 148 205 2,383 461 1,930 1,442 595 430 418 500 4.2 11.0 12.5 10.3 3.9 6.4 3.6 3.7 4.4 3.5 3.1 3.4 3.6 9.6 11.6 9.2 3.3 6.2 3.0 3.2 3.9 3.0 2.6 2.7 4.0 10.5 12.4 9.5 3.7 6.6 3.4 3.4 4.0 3.3 2.9 3.0 3.9 10.9 11.4 10.5 3.7 6.3 3.4 3.4 3.6 3.6 3.0 3.0 3.9 10.8 11.5 10.0 3.6 6.1 3.3 3.4 4.1 3.2 2.7 3.1 3.6 12.2 13.1 11.0 3.3 6.3 2.9 3.0 3.5 2.8 2.6 2.8 MARITAL STATUS Married men, spouse present1. . . . . . . . . . . . . . . . . . . . Married women, spouse present1. . . . . . . . . . . . . . . . . Women who maintain families2. . . . . . . . . . . . . . . . . . . . 1,050 922 672 931 931 556 898 780 529 2.3 2.5 6.5 1.9 2.3 4.7 2.1 2.5 5.5 2.0 2.5 5.6 2.0 2.5 5.4 1.9 2.1 5.1 FULL- OR PART-TIME STATUS Full-time workers3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part-time workers4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,504 1,231 4,993 1,196 4,662 1,267 4.2 4.3 3.7 4.2 4.0 4.3 3.8 4.4 3.7 4.3 3.5 4.5 1 Refers to persons in opposite-sex couples only. Data are not seasonally adjusted. Refers to female householders residing with one or more family members, but not an opposite-sex spouse. 3 Full-time workers are unemployed persons who have expressed a desire to work full time (35 hours or more per week) or are on layoff from full-time jobs. 4 Part-time workers are unemployed persons who have expressed a desire to work part time (less than 35 hours per week) or are on layoff from part-time jobs. NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced annually with the release of January data. 2 HOUSEHOLD DATA Table A-11. Unemployed persons by reason for unemployment [Numbers in thousands] Not seasonally adjusted Reason Sept. 2017 Aug. 2018 Seasonally adjusted Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 NUMBER OF UNEMPLOYED Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . On temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not on temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . Permanent job losers. . . . . . . . . . . . . . . . . . . . . . . . . . Persons who completed temporary jobs. . . . Job leavers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reentrants........................................... . New entrants........................................ . 2,992 568 2,424 1,742 682 805 2,127 631 2,885 893 1,992 1,337 655 967 1,869 649 2,474 507 1,967 1,238 729 794 1,939 559 3,316 891 2,425 1,728 697 737 2,068 663 2,854 803 2,052 1,439 612 852 1,882 571 3,065 906 2,159 1,486 673 811 2,086 578 3,017 890 2,127 1,455 672 844 1,799 591 2,875 872 2,003 1,345 658 862 1,846 584 2,796 820 1,975 1,248 727 730 1,877 586 PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . On temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not on temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . Job leavers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reentrants........................................... . New entrants........................................ . 45.6 8.7 37.0 12.3 32.4 9.6 45.3 14.0 31.3 15.2 29.3 10.2 42.9 8.8 34.1 13.8 33.6 9.7 48.9 13.1 35.8 10.9 30.5 9.8 46.3 13.0 33.3 13.8 30.6 9.3 46.9 13.9 33.0 12.4 31.9 8.8 48.3 14.2 34.0 13.5 28.8 9.5 46.6 14.1 32.5 14.0 29.9 9.5 46.7 13.7 33.0 12.2 31.3 9.8 UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Job leavers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reentrants........................................... . New entrants........................................ . 1.9 0.5 1.3 0.4 1.8 0.6 1.2 0.4 1.5 0.5 1.2 0.3 2.1 0.5 1.3 0.4 1.8 0.5 1.2 0.4 1.9 0.5 1.3 0.4 1.9 0.5 1.1 0.4 1.8 0.5 1.1 0.4 1.7 0.5 1.2 0.4 NOTE: Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-12. Unemployed persons by duration of unemployment [Numbers in thousands] Not seasonally adjusted Duration Sept. 2017 Aug. 2018 Sept. 2018 Seasonally adjusted Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 NUMBER OF UNEMPLOYED Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks....................................... . 15 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 to 26 weeks................................... . 27 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,227 1,740 2,589 889 1,700 2,183 2,037 2,149 809 1,341 2,043 1,566 2,157 790 1,366 2,223 1,879 2,695 962 1,733 2,034 1,945 2,166 977 1,189 2,227 1,882 2,314 836 1,478 2,091 1,820 2,406 971 1,435 2,208 1,720 2,255 923 1,332 2,065 1,720 2,245 861 1,384 Average (mean) duration, in weeks. . . . . . . . . . . . . . . Median duration, in weeks. . . . . . . . . . . . . . . . . . . . . . . . . 26.9 10.3 22.2 9.0 24.7 9.4 26.6 10.1 21.3 9.2 21.2 8.9 23.2 9.5 22.6 9.1 24.0 9.2 PERCENT DISTRIBUTION Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks....................................... . 15 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 to 26 weeks................................... . 27 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.0 26.5 39.5 13.6 25.9 34.3 32.0 33.7 12.7 21.0 35.4 27.2 37.4 13.7 23.7 32.7 27.6 39.7 14.2 25.5 33.1 31.7 35.2 15.9 19.4 34.7 29.3 36.0 13.0 23.0 33.1 28.8 38.1 15.4 22.7 35.7 27.8 36.5 14.9 21.5 34.3 28.5 37.2 14.3 22.9 NOTE: Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-13. Employed and unemployed persons by occupation, not seasonally adjusted [Numbers in thousands] Employed Occupation Total, 16 years and over1............................................ . 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. . . . . . . . . . . . 1 Unemployment rates Unemployed Sept. 2017 Sept. 2018 Sept. 2017 Sept. 2018 Sept. 2017 Sept. 2018 154,494 60,990 156,191 62,181 6,556 1,463 5,766 1,299 4.1 2.3 3.6 2.0 25,309 35,681 27,429 33,697 15,798 17,899 26,068 36,112 26,606 33,510 15,609 17,901 636 827 1,414 1,415 605 810 554 745 1,207 1,257 656 600 2.5 2.3 4.9 4.0 3.7 4.3 2.1 2.0 4.3 3.6 4.0 3.2 14,110 1,155 8,010 4,945 14,855 1,180 8,570 5,105 746 105 470 171 582 52 434 95 5.0 8.3 5.5 3.4 3.8 4.2 4.8 1.8 18,268 8,282 9,986 19,039 8,639 10,400 873 405 468 847 346 501 4.6 4.7 4.5 4.3 3.9 4.6 Persons with no previous work experience and persons whose last job was in the U.S. Armed Forces are included in the unemployed total. NOTE: Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-14. Unemployed persons by industry and class of worker, not seasonally adjusted Industry and class of worker Total, 16 years and over1............................................................... . Nonagricultural private wage and salary workers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining, quarrying, and oil and gas extraction................................... . Construction......................................................................... . Manufacturing....................................................................... . Durable goods.................................................................... . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale and retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Information........................................................................... . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services.............................................. . Education and health services.................................................... . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other services....................................................................... . Agriculture and related private wage and salary workers. . . . . . . . . . . . . . . . . . . . . . . . . Government workers.................................................................. . Self-employed workers, unincorporated, and unpaid family workers. . . . . . . . . . . . 1 Number of unemployed persons (in thousands) Unemployment rates Sept. 2017 Sept. 2018 Sept. 2017 Sept. 2018 6,556 5,063 24 433 587 365 221 843 282 141 240 723 804 708 280 111 438 312 5,766 4,468 13 412 547 305 242 810 189 62 271 557 666 722 219 71 416 251 4.1 4.0 3.0 4.7 3.8 3.8 3.9 4.1 4.1 5.1 2.5 4.1 3.4 5.0 4.2 6.7 2.1 3.1 3.6 3.5 1.7 4.1 3.5 3.1 4.3 4.0 2.6 2.3 2.7 3.2 2.8 5.4 3.3 4.1 2.0 2.5 Persons with no previous work experience and persons whose last job was in the U.S. Armed Forces are included in the unemployed total. NOTE: Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-15. Alternative measures of labor underutilization [Percent] Not seasonally adjusted Measure U-1 Persons unemployed 15 weeks or longer, as a percent of the civilian labor force. . . . . . . . . U-2 Job losers and persons who completed temporary jobs, as a percent of the civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . U-3 Total unemployed, as a percent of the civilian labor force (official unemployment rate). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . U-4 Total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers. . . . . . . . . . . . . . . . . U-5 Total unemployed, plus discouraged workers, plus all other persons marginally attached to the labor force, as a percent of the civilian labor force plus all persons marginally attached to the labor force. . . . . . . . . U-6 Total unemployed, plus all persons marginally attached to the labor force, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all persons marginally attached to the labor force.................................... . Seasonally adjusted Sept. 2017 Aug. 2018 Sept. 2018 Sept. 2017 May 2018 June 2018 July 2018 Aug. 2018 Sept. 2018 1.6 1.3 1.3 1.7 1.3 1.4 1.5 1.4 1.4 1.9 1.8 1.5 2.1 1.8 1.9 1.9 1.8 1.7 4.1 3.9 3.6 4.2 3.8 4.0 3.9 3.9 3.7 4.3 4.2 3.8 4.4 4.0 4.3 4.2 4.1 3.9 5.0 4.8 4.5 5.1 4.6 4.9 4.8 4.7 4.6 8.0 7.4 7.1 8.3 7.6 7.8 7.5 7.4 7.5 NOTE: Persons marginally attached to the labor force are those who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the past 12 months. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not currently looking for work. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. Updated population controls are introduced annually with the release of January data. HOUSEHOLD DATA Table A-16. Persons not in the labor force and multiple jobholders by sex, not seasonally adjusted [Numbers in thousands] Total Category Sept. 2017 Men Sept. 2018 Sept. 2017 Women Sept. 2018 Sept. 2017 Sept. 2018 NOT IN THE LABOR FORCE Total not in the labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Persons who currently want a job. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marginally attached to the labor force1. . . . . . . . . . . . . . . . . . . . . . . . Discouraged workers2........................................ . Other persons marginally attached to the labor force3. . . 94,513 5,415 1,569 421 1,148 96,332 5,070 1,577 383 1,194 37,999 2,494 798 275 522 39,113 2,381 832 223 608 56,514 2,922 772 146 625 57,220 2,689 745 160 585 MULTIPLE JOBHOLDERS Total multiple jobholders4............................................ . Percent of total employed......................................... . Primary job full time, secondary job part time. . . . . . . . . . . . . . . . . . . Primary and secondary jobs both part time. . . . . . . . . . . . . . . . . . . . . Primary and secondary jobs both full time...................... . Hours vary on primary or secondary job. . . . . . . . . . . . . . . . . . . . . . . . . 7,359 4.8 4,053 2,040 305 923 7,670 4.9 4,200 2,050 331 1,044 3,699 4.5 2,236 753 190 502 3,736 4.5 2,253 736 201 519 3,660 5.1 1,816 1,287 115 421 3,934 5.4 1,946 1,315 130 525 1 Data refer to persons who want a job, have searched for work during the prior 12 months, and were available to take a job during the reference week, but had not looked for work in the past 4 weeks. 2 Includes those who did not actively look for work in the prior 4 weeks for reasons such as thinks no work available, could not find work, lacks schooling or training, employer thinks too young or old, and other types of discrimination. 3 Includes those who did not actively look for work in the prior 4 weeks for such reasons as school or family responsibilities, ill health, and transportation problems, as well as a number for whom reason for nonparticipation was not determined. 4 Includes a small number of persons who work part time on their primary job and full time on their secondary job(s), not shown separately. NOTE: Updated population controls are introduced annually with the release of January data. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail [In thousands] Not seasonally adjusted Industry Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Seasonally adjusted Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p 147,177 124,904 20,382 148,897 127,807 21,053 149,391 127,981 21,107 149,741 127,363 21,023 146,963 124,626 20,130 149,096 126,719 20,701 149,366 126,973 20,738 149,500 127,094 20,784 Change from: Aug.2018 Sept.2018p 134 121 46 Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Oil and gas extraction. . . . . . . . . . . . . . . . . . . . . . . Mining, except oil and gas. . . . . . . . . . . . . . . . . . . Coal mining. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Metal ore mining. . . . . . . . . . . . . . . . . . . . . . . . . . Nonmetallic mineral mining and quarrying. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Support activities for mining. . . . . . . . . . . . . . . . . 696 50.0 646.3 147.1 188.8 52.9 38.6 751 49.9 700.7 154.7 193.7 53.0 39.8 763 49.5 713.1 155.7 195.3 53.2 39.6 759 48.7 710.7 152.6 193.2 52.8 39.0 690 48.7 641.0 146.9 186.1 52.8 38.7 740 48.4 691.2 152.6 189.5 53.0 39.2 746 48.0 698.2 152.8 190.0 52.9 39.0 751 47.4 703.3 152.3 189.6 52.6 38.8 5 -0.6 5.1 -0.5 -0.4 -0.3 -0.2 97.3 310.4 100.9 352.3 102.5 362.1 101.4 364.9 94.6 308.0 97.3 349.1 98.0 355.4 98.2 361.4 0.2 6.0 Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction of buildings. . . . . . . . . . . . . . . . . . . . . . . Residential building. . . . . . . . . . . . . . . . . . . . . . . . . . Nonresidential building. . . . . . . . . . . . . . . . . . . . . . Heavy and civil engineering construction. . . . . . Specialty trade contractors. . . . . . . . . . . . . . . . . . . . Residential specialty trade contractors. . . . . . Nonresidential specialty trade contractors. . . 7,177 1,571.1 758.6 812.5 1,057.1 4,548.5 1,999.4 2,549.1 7,496 1,653.4 819.9 833.5 1,084.9 4,757.8 2,091.6 2,666.2 7,525 1,655.7 821.1 834.6 1,090.6 4,778.2 2,102.7 2,675.5 7,477 1,639.9 811.3 828.6 1,094.7 4,742.3 2,078.5 2,663.8 6,971 1,535.1 741.5 793.6 990.4 4,445.0 1,954.3 2,490.7 7,237 1,608.3 796.4 811.9 1,018.8 4,610.1 2,022.6 2,587.5 7,263 1,616.6 801.0 815.6 1,021.5 4,625.3 2,030.0 2,595.3 7,286 1,617.0 799.2 817.8 1,028.6 4,640.8 2,036.2 2,604.6 23 0.4 -1.8 2.2 7.1 15.5 6.2 9.3 Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wood products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nonmetallic mineral products. . . . . . . . . . . . . . . . Primary metals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fabricated metal products. . . . . . . . . . . . . . . . . . . Machinery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Computer and electronic products. . . . . . . . . . . Computer and peripheral equipment. . . . . . Communications equipment. . . . . . . . . . . . . . . Semiconductors and electronic components. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Electronic instruments. . . . . . . . . . . . . . . . . . . . . Miscellaneous computer and electronic products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Electrical equipment and appliances. . . . . . . . Transportation equipment1. . . . . . . . . . . . . . . . . . Motor vehicles and parts2. . . . . . . . . . . . . . . . . Furniture and related products. . . . . . . . . . . . . . Miscellaneous durable goods manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Food manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . Textile mills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Textile product mills. . . . . . . . . . . . . . . . . . . . . . . . . Apparel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Paper and paper products. . . . . . . . . . . . . . . . . . . Printing and related support activities. . . . . . . Petroleum and coal products. . . . . . . . . . . . . . . . Chemicals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Plastics and rubber products. . . . . . . . . . . . . . . . Miscellaneous nondurable goods manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,509 12,806 12,819 12,787 12,469 12,724 12,729 12,747 7,760 394.7 416.8 373.3 1,439.2 1,082.7 1,044.7 161.8 86.7 7,986 409.8 426.6 381.2 1,498.7 1,136.4 1,075.5 170.7 86.0 7,994 407.6 426.2 382.3 1,499.0 1,132.3 1,073.1 170.7 85.1 7,980 405.6 425.2 381.8 1,496.8 1,128.1 1,069.3 171.2 84.9 7,755 395.6 410.8 373.5 1,439.6 1,083.7 1,045.2 161.3 86.9 7,959 405.9 419.3 381.2 1,491.7 1,129.1 1,069.3 170.1 85.5 7,964 405.6 418.8 382.1 1,495.9 1,128.1 1,068.5 169.4 85.1 7,981 406.9 421.5 382.3 1,499.6 1,129.8 1,070.6 171.0 85.0 17 1.3 2.7 0.2 3.7 1.7 2.1 1.6 -0.1 362.0 400.2 373.5 413.0 371.7 413.0 369.7 410.6 362.9 400.2 370.9 410.6 370.3 411.4 370.5 411.5 0.2 0.1 34.0 389.6 1,636.7 954.9 391.7 32.3 408.7 1,653.2 942.9 394.2 32.6 408.4 1,671.3 961.4 393.0 32.9 408.6 1,674.4 962.3 391.1 33.9 389.8 1,632.9 952.1 392.8 32.2 405.9 1,666.0 959.0 391.7 32.4 407.0 1,668.6 960.6 389.7 32.7 408.4 1,669.8 960.2 391.6 0.3 1.4 1.2 -0.4 1.9 590.2 601.4 601.1 599.1 590.7 599.0 599.8 600.0 0.2 4,749 1,638.8 112.7 114.2 116.8 368.6 438.9 117.7 822.0 719.4 4,820 1,671.3 111.7 111.4 113.6 377.5 434.9 120.5 836.3 731.2 4,825 1,675.9 112.6 112.0 113.4 377.9 434.0 120.8 838.1 727.9 4,807 1,667.9 111.7 111.2 112.2 375.8 432.3 120.1 837.2 727.4 4,714 1,613.0 113.0 113.7 116.0 368.9 439.4 115.7 823.4 719.6 4,765 1,640.0 111.7 110.8 114.4 375.5 433.4 117.0 831.5 727.6 4,765 1,636.7 112.4 110.8 113.5 376.6 432.7 117.2 835.3 726.3 4,766 1,639.3 111.6 110.7 111.7 376.9 432.4 117.2 837.7 726.7 1 2.6 -0.8 -0.1 -1.8 0.3 -0.3 0.0 2.4 0.4 299.9 312.0 312.3 311.6 291.7 303.3 303.5 302.2 Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . 104,522 106,754 106,874 106,340 104,496 106,018 106,235 106,310 Trade, transportation, and utilities. . . . . . . . . . . . . . . . 27,402 27,770 27,797 27,729 27,525 27,782 27,837 27,845 Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . See footnotes at end of table. 18 5,916.7 2,976.1 2,048.4 6,012.3 3,033.7 2,060.3 6,029.5 3,046.9 2,062.2 6,010.7 3,039.9 2,054.3 5,915.8 2,976.0 2,046.3 5,984.2 3,020.2 2,050.2 6,005.5 3,035.2 2,055.0 6,009.9 3,041.5 2,051.6 -1.3 75 8 4.4 6.3 -3.4 ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Not seasonally adjusted Industry Sept. 2017 July 2018 Aug. 2018p Seasonally adjusted Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Change from: Aug.2018 Sept.2018p Wholesale trade - Continued Electronic markets and agents and brokers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 892.2 918.3 920.4 916.5 893.5 913.8 915.3 916.8 1.5 Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Motor vehicle and parts dealers. . . . . . . . . . . . . Automobile dealers. . . . . . . . . . . . . . . . . . . . . . . . Other motor vehicle dealers. . . . . . . . . . . . . . . Auto parts, accessories, and tire stores. . . Furniture and home furnishings stores. . . . . . Electronics and appliance stores. . . . . . . . . . . . Building material and garden supply stores. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Food and beverage stores. . . . . . . . . . . . . . . . . . Health and personal care stores. . . . . . . . . . . . Gasoline stations. . . . . . . . . . . . . . . . . . . . . . . . . . . . Clothing and clothing accessories stores. . . . Sporting goods, hobby, book, and music stores. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . General merchandise stores. . . . . . . . . . . . . . . . Department stores. . . . . . . . . . . . . . . . . . . . . . . . General merchandise stores, including warehouse clubs and supercenters. . . . . Miscellaneous store retailers. . . . . . . . . . . . . . . . Nonstore retailers. . . . . . . . . . . . . . . . . . . . . . . . . . . 15,720.2 2,013.5 1,298.6 155.9 559.0 470.0 495.0 15,944.8 2,049.6 1,313.4 164.6 571.6 477.5 491.1 15,928.6 2,047.8 1,314.6 163.2 570.0 477.7 490.8 15,782.8 2,043.2 1,314.7 158.5 570.0 477.1 487.3 15,853.3 2,009.4 1,298.2 153.3 558.0 476.0 502.5 15,917.3 2,033.2 1,308.7 155.4 569.1 483.4 496.9 15,928.8 2,035.4 1,310.7 156.0 568.8 482.3 494.5 15,908.8 2,036.2 1,311.4 156.5 568.3 483.8 491.4 -20.0 0.8 0.7 0.5 -0.5 1.5 -3.1 1,261.7 3,072.3 1,050.5 937.4 1,325.9 1,346.4 3,122.5 1,047.2 950.2 1,377.6 1,305.6 3,118.9 1,048.4 950.2 1,367.8 1,276.0 3,092.1 1,044.7 944.7 1,326.4 1,282.8 3,077.6 1,059.0 931.4 1,361.8 1,309.5 3,097.2 1,052.7 938.7 1,380.1 1,305.9 3,100.3 1,055.9 939.1 1,359.2 1,301.4 3,098.2 1,055.2 941.9 1,355.3 -4.5 -2.1 -0.7 2.8 -3.9 592.4 3,099.3 1,149.3 550.9 3,098.7 1,148.6 557.3 3,131.1 1,162.4 554.7 3,113.2 1,155.6 604.1 3,146.5 1,183.4 564.3 3,135.1 1,174.3 572.1 3,153.2 1,180.7 569.5 3,149.2 1,180.4 -2.6 -4.0 -0.3 1,950.0 830.0 572.2 1,950.1 840.7 592.4 1,968.7 838.5 594.5 1,957.6 828.1 595.3 1,963.1 826.7 575.5 1,960.8 828.4 597.8 1,972.5 830.7 600.2 1,968.9 825.3 601.4 -3.6 -5.4 1.2 Transportation and warehousing. . . . . . . . . . . . . . . Air transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . . Rail transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . Water transportation. . . . . . . . . . . . . . . . . . . . . . . . . Truck transportation. . . . . . . . . . . . . . . . . . . . . . . . . Transit and ground passenger transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pipeline transportation. . . . . . . . . . . . . . . . . . . . . . . Scenic and sightseeing transportation. . . . . . . Support activities for transportation. . . . . . . . . . Couriers and messengers. . . . . . . . . . . . . . . . . . . Warehousing and storage. . . . . . . . . . . . . . . . . . . 5,211.4 496.3 213.7 66.8 1,469.2 5,257.2 508.8 214.6 68.3 1,492.9 5,285.7 508.4 215.6 68.1 1,504.8 5,385.7 505.8 215.6 65.6 1,505.4 5,201.7 496.1 212.8 66.0 1,454.8 5,330.4 504.4 214.1 65.2 1,477.1 5,351.7 504.8 214.6 65.1 1,483.0 5,375.5 505.3 215.5 64.4 1,487.9 23.8 0.5 0.9 -0.7 4.9 512.3 47.5 42.0 696.7 671.8 995.1 430.7 47.3 46.1 712.2 708.5 1,027.8 430.9 46.9 45.6 716.4 715.2 1,033.8 513.5 46.9 40.9 714.8 729.1 1,048.1 501.0 47.7 35.3 694.2 696.4 997.4 491.6 47.2 34.9 711.0 747.9 1,037.0 495.3 46.8 35.3 713.9 751.5 1,041.4 500.7 46.8 34.7 713.8 756.6 1,049.8 5.4 0.0 -0.6 -0.1 5.1 8.4 Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553.3 555.2 553.1 549.8 554.2 550.3 550.9 551.0 0.1 Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Publishing industries, except Internet. . . . . . . . . . Motion picture and sound recording industries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Broadcasting, except Internet. . . . . . . . . . . . . . . . . . Telecommunications. . . . . . . . . . . . . . . . . . . . . . . . . . . Data processing, hosting and related services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other information services. . . . . . . . . . . . . . . . . . . . . 2,778 719.0 2,786 717.8 2,788 718.3 2,763 717.4 2,784 719.3 2,770 714.6 2,767 714.7 2,767 715.1 0 0.4 411.5 264.6 781.6 422.8 261.1 758.7 427.3 262.5 754.4 406.0 266.2 751.8 420.8 264.3 778.1 413.9 263.0 757.4 413.2 263.5 754.5 412.9 264.3 751.5 -0.3 0.8 -3.0 318.3 283.0 328.1 297.2 326.5 298.7 326.6 294.9 318.6 283.3 326.7 294.1 325.9 295.0 327.5 295.4 1.6 0.4 Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Finance and insurance. . . . . . . . . . . . . . . . . . . . . . . . . Monetary authorities - central bank. . . . . . . . . . Credit intermediation and related activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Depository credit intermediation1. . . . . . . . . . Commercial banking. . . . . . . . . . . . . . . . . . . . Nondepository credit intermediation. . . . . . . Activities related to credit intermediation.. . Securities, commodity contracts, investments, and funds and trusts. . . . . . . . Insurance carriers and related activities. . . . . Real estate and rental and leasing. . . . . . . . . . . . Real estate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rental and leasing services. . . . . . . . . . . . . . . . . 8,490 6,282.0 18.9 8,662 6,361.2 19.5 8,656 6,355.0 19.4 8,608 6,324.6 19.1 8,485 6,289.8 19.0 8,578 6,326.9 19.2 8,590 6,333.0 19.3 8,603 6,333.4 19.3 13 0.4 0.0 2,649.1 1,708.4 1,317.7 626.3 314.4 2,683.4 1,731.6 1,330.3 635.7 316.1 2,676.4 1,726.3 1,325.1 636.6 313.5 2,662.0 1,713.4 1,314.5 634.8 313.8 2,653.9 1,714.3 1,321.6 626.6 313.0 2,666.9 1,720.4 1,322.8 632.8 313.6 2,665.8 1,719.2 1,320.2 633.5 313.1 2,666.1 1,719.4 1,320.0 632.4 314.2 0.3 0.2 -0.2 -1.1 1.1 946.9 2,667.1 2,207.8 1,602.2 581.6 975.0 2,683.3 2,300.4 1,658.1 616.3 977.7 2,681.5 2,300.7 1,658.7 616.3 967.0 2,676.5 2,283.2 1,646.6 611.5 945.9 2,671.0 2,195.6 1,599.5 571.9 964.7 2,676.1 2,250.9 1,632.7 593.0 969.4 2,678.5 2,256.7 1,634.8 596.7 968.2 2,679.8 2,269.6 1,642.5 602.0 -1.2 1.3 12.9 7.7 5.3 See footnotes at end of table. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Not seasonally adjusted Industry Sept. 2017 July 2018 Aug. 2018p Seasonally adjusted Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Change from: Aug.2018 Sept.2018p Real estate and rental and leasing Continued Lessors of nonfinancial intangible assets. . . . 24.0 26.0 25.7 25.1 24.2 25.2 25.2 25.1 -0.1 Professional and business services. . . . . . . . . . . . . . Professional and technical services. . . . . . . . . . . . Legal services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Accounting and bookkeeping services. . . . . . Architectural and engineering services. . . . . . Specialized design services. . . . . . . . . . . . . . . . . Computer systems design and related services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Management and technical consulting services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scientific research and development services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Advertising and related services. . . . . . . . . . . . . Other professional and technical services. . . Management of companies and enterprises. . . Administrative and waste services. . . . . . . . . . . . . Administrative and support services. . . . . . . . . Office administrative services. . . . . . . . . . . . . Facilities support services. . . . . . . . . . . . . . . . . Employment services1. . . . . . . . . . . . . . . . . . . . Temporary help services. . . . . . . . . . . . . . . . Business support services. . . . . . . . . . . . . . . . Travel arrangement and reservation services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Investigation and security services. . . . . . . . Services to buildings and dwellings. . . . . . . Other support services. . . . . . . . . . . . . . . . . . . . Waste management and remediation services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,629 8,958.9 1,132.3 929.9 1,444.3 136.4 21,135 9,264.4 1,148.2 955.5 1,503.9 137.8 21,223 9,274.4 1,137.7 960.1 1,507.0 139.2 21,201 9,216.7 1,132.2 953.2 1,489.3 140.3 20,570 9,045.8 1,136.4 998.8 1,443.8 137.7 21,011 9,248.0 1,137.8 1,010.0 1,480.1 137.1 21,076 9,278.5 1,136.7 1,013.3 1,486.2 139.3 21,130 9,297.4 1,138.1 1,013.1 1,484.8 140.4 54 18.9 1.4 -0.2 -1.4 1.1 2,043.4 2,126.2 2,127.5 2,109.9 2,053.0 2,112.4 2,117.5 2,122.3 4.8 1,408.5 1,458.5 1,467.2 1,465.6 1,409.5 1,451.7 1,461.7 1,468.3 6.6 659.9 488.2 716.0 2,298.4 9,371.9 8,956.3 514.6 154.9 3,706.8 3,033.8 902.5 693.7 498.1 742.5 2,346.3 9,524.5 9,084.8 526.0 156.5 3,693.1 2,998.1 894.7 689.4 500.7 745.6 2,347.0 9,601.2 9,163.2 528.0 158.5 3,763.0 3,065.9 899.7 682.0 498.5 745.7 2,333.8 9,650.0 9,213.7 530.2 158.8 3,827.4 3,128.2 906.3 663.7 489.0 713.9 2,298.6 9,225.1 8,811.9 515.4 154.3 3,634.1 2,972.2 906.2 682.9 496.0 740.0 2,330.7 9,432.7 9,001.9 525.7 156.8 3,728.0 3,036.5 909.3 682.9 499.2 741.8 2,336.1 9,461.2 9,029.4 528.2 157.4 3,739.2 3,048.9 911.1 684.2 500.3 746.0 2,339.0 9,493.1 9,059.4 530.2 157.3 3,756.9 3,059.5 908.9 1.3 1.1 4.2 2.9 31.9 30.0 2.0 -0.1 17.7 10.6 -2.2 216.8 927.7 2,204.5 328.5 219.1 942.9 2,313.1 339.4 219.1 948.6 2,306.0 340.3 218.6 955.2 2,274.7 342.5 216.8 921.1 2,137.1 326.9 216.0 943.8 2,184.7 337.5 216.7 944.9 2,194.3 337.8 217.5 946.7 2,201.0 340.9 0.8 1.8 6.7 3.1 415.6 439.7 438.0 436.3 413.2 430.8 431.8 433.7 1.9 Education and health services. . . . . . . . . . . . . . . . . . . Educational services. . . . . . . . . . . . . . . . . . . . . . . . . . . Health care and social assistance. . . . . . . . . . . . . Health care3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ambulatory health care services. . . . . . . . . . Offices of physicians. . . . . . . . . . . . . . . . . . . . Offices of dentists. . . . . . . . . . . . . . . . . . . . . . . Offices of other health practitioners. . . . . Outpatient care centers. . . . . . . . . . . . . . . . . Medical and diagnostic laboratories. . . . Home health care services. . . . . . . . . . . . . Other ambulatory health care services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hospitals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nursing and residential care facilities. . . . . Nursing care facilities. . . . . . . . . . . . . . . . . . . Residential mental health facilities. . . . . . Community care facilities for the elderly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other residential care facilities. . . . . . . . . . Social assistance. . . . . . . . . . . . . . . . . . . . . . . . . . . . Individual and family services. . . . . . . . . . . . . Emergency and other relief services. . . . . . Vocational rehabilitation services. . . . . . . . . Child day care services. . . . . . . . . . . . . . . . . . . 23,221 3,668.4 19,552.9 15,782.9 7,334.1 2,602.5 930.3 893.1 905.7 270.4 1,424.5 23,320 3,422.8 19,897.1 16,055.8 7,499.9 2,640.3 947.5 929.7 934.5 282.8 1,457.4 23,422 3,452.4 19,969.3 16,094.0 7,524.9 2,642.0 954.2 936.3 937.5 282.2 1,467.0 23,668 3,704.0 19,964.1 16,081.0 7,512.9 2,640.3 949.5 929.2 935.0 284.4 1,467.6 23,297 3,706.8 19,590.0 15,791.3 7,345.7 2,604.4 934.4 896.6 906.8 271.2 1,424.7 23,674 3,750.8 19,923.4 16,035.6 7,496.5 2,637.7 946.6 929.1 933.3 282.3 1,459.7 23,732 3,766.4 19,965.8 16,067.1 7,514.4 2,641.9 949.0 932.2 936.4 282.5 1,465.0 23,750 3,754.4 19,995.6 16,092.8 7,524.7 2,646.0 948.5 934.2 937.4 283.8 1,467.2 18 -12.0 29.8 25.7 10.3 4.1 -0.5 2.0 1.0 1.3 2.2 307.6 5,104.5 3,344.3 1,621.6 628.9 307.7 5,187.5 3,368.4 1,613.3 636.3 305.7 5,194.4 3,374.7 1,617.2 638.7 306.9 5,205.0 3,363.1 1,613.1 636.1 307.7 5,100.2 3,345.4 1,620.3 629.3 307.9 5,182.1 3,357.0 1,609.7 634.2 307.5 5,190.9 3,361.8 1,611.6 637.1 307.6 5,202.9 3,365.2 1,611.8 637.8 0.1 12.0 3.4 0.2 0.7 925.7 168.1 3,770.0 2,329.6 167.6 342.3 930.5 945.3 173.5 3,841.3 2,444.5 172.4 353.2 871.2 945.0 173.8 3,875.3 2,441.0 175.0 351.7 907.6 940.1 173.8 3,883.1 2,433.5 174.4 345.5 929.7 927.5 168.4 3,798.7 2,348.9 168.6 343.6 937.6 941.8 171.3 3,887.8 2,436.6 172.6 346.5 932.1 940.8 172.4 3,898.7 2,440.7 174.5 346.7 936.8 941.9 173.8 3,902.8 2,448.6 174.8 346.1 933.3 1.1 1.4 4.1 7.9 0.3 -0.6 -3.5 Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . Arts, entertainment, and recreation. . . . . . . . . . . . Performing arts and spectator sports. . . . . . . . Museums, historical sites, and similar institutions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,227 2,377.5 516.1 17,144 2,715.4 518.0 17,076 2,649.7 513.2 16,509 2,393.7 504.0 16,046 2,321.7 492.8 16,338 2,347.1 487.5 16,359 2,344.8 483.8 16,342 2,351.1 491.3 -17 6.3 7.5 170.1 192.8 186.5 176.9 168.1 173.6 173.5 174.3 0.8 See footnotes at end of table. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Not seasonally adjusted Seasonally adjusted Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Change from: Aug.2018 Sept.2018p Amusements, gambling, and recreation. . . . . Accommodation and food services. . . . . . . . . . . . Accommodation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Food services and drinking places. . . . . . . . . . 1,691.3 13,849.8 2,045.4 11,804.4 2,004.6 14,428.1 2,197.8 12,230.3 1,950.0 14,426.5 2,183.5 12,243.0 1,712.8 14,115.4 2,078.9 12,036.5 1,660.8 13,723.8 2,007.3 11,716.5 1,686.0 13,991.3 2,037.1 11,954.2 1,687.5 14,013.8 2,041.2 11,972.6 1,685.5 13,990.9 2,036.5 11,954.4 -2.0 -22.9 -4.7 -18.2 Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Repair and maintenance. . . . . . . . . . . . . . . . . . . . . . . Personal and laundry services. . . . . . . . . . . . . . . . . Membership associations and organizations. . . 5,775 1,307.3 1,487.3 2,980.4 5,937 1,325.8 1,534.5 3,076.2 5,912 1,324.5 1,536.7 3,051.2 5,862 1,326.4 1,533.4 3,001.7 5,789 1,308.4 1,488.7 2,992.0 5,865 1,320.3 1,523.9 3,020.8 5,874 1,323.8 1,529.6 3,020.4 5,873 1,325.4 1,533.8 3,013.5 -1 1.6 4.2 -6.9 Government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Federal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Federal, except U.S. Postal Service. . . . . . . . . . . . . U.S. Postal Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . State government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . State government education. . . . . . . . . . . . . . . . . . . . . State government, excluding education. . . . . . . . . . Local government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Local government education. . . . . . . . . . . . . . . . . . . . . Local government, excluding education. . . . . . . . . . 22,273 2,809.0 2,196.7 612.0 5,174.0 2,502.2 2,671.9 14,290.0 7,837.2 6,452.8 21,090 2,811.0 2,205.8 605.0 4,800.0 2,116.1 2,683.4 13,479.0 6,751.5 6,727.7 21,410 2,804.0 2,200.5 603.6 4,865.0 2,183.1 2,682.1 13,741.0 7,069.5 6,671.5 22,378 2,799.0 2,194.2 604.4 5,211.0 2,543.7 2,667.1 14,368.0 7,898.2 6,469.9 22,337 2,803.0 2,188.7 614.6 5,140.0 2,465.5 2,674.4 14,394.0 7,939.5 6,454.1 22,377 2,796.0 2,189.3 606.4 5,134.0 2,467.4 2,666.3 14,447.0 7,963.8 6,483.2 22,393 2,795.0 2,188.5 606.6 5,142.0 2,476.9 2,664.9 14,456.0 7,970.0 6,485.7 22,406 2,794.0 2,188.2 606.0 5,164.0 2,498.1 2,666.3 14,448.0 7,969.0 6,479.4 13 -1.0 -0.3 -0.6 22.0 21.2 1.4 -8.0 -1.0 -6.3 Industry Arts, entertainment, and recreation Continued 1 Includes other industries, not shown separately. Includes motor vehicles, motor vehicle bodies and trailers, and motor vehicle parts. 3 Includes ambulatory health care services, hospitals, and nursing and residential care facilities. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. 2 ESTABLISHMENT DATA Table B-2. Average weekly hours and overtime of all employees on private nonfarm payrolls by industry sector, seasonally adjusted Sept. 2017 July 2018 Aug. 2018p Sept. 2018p AVERAGE WEEKLY HOURS Total private............................................................................ . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging............................................................... . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods............................................................. . Private service-providing........................................................... . Trade, transportation, and utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade..................................................................... . Transportation and warehousing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Utilities.......................................................................... . Information........................................................................ . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Education and health services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other services.................................................................... . 34.3 40.2 45.3 38.9 40.7 41.2 39.9 33.2 34.4 39.1 30.9 38.6 42.5 36.3 37.5 36.0 32.8 26.0 31.6 34.5 40.6 46.0 39.4 41.0 41.4 40.3 33.4 34.5 39.0 31.1 39.0 41.8 36.1 37.5 36.2 33.0 26.1 31.8 34.5 40.5 46.0 39.2 40.9 41.3 40.3 33.3 34.5 39.0 31.0 38.9 41.9 36.2 37.6 36.1 33.0 26.1 31.9 34.5 40.3 45.8 38.9 40.8 41.2 40.2 33.3 34.4 38.9 31.0 38.9 41.9 36.4 37.5 36.1 33.0 26.0 31.8 AVERAGE OVERTIME HOURS Manufacturing.......................................................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods.................................................................. . 3.4 3.4 3.4 3.5 3.5 3.5 3.5 3.5 3.5 3.4 3.5 3.3 Industry p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-3. Average hourly and weekly earnings of all employees on private nonfarm payrolls by industry sector, seasonally adjusted Average hourly earnings Average weekly earnings Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing...................................... . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction......................................... . Manufacturing....................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities................ . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . . . . . . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Financial activities.................................. . Professional and business services. . . . . . . . . . . . . . Education and health services.................... . Leisure and hospitality............................. . Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $26.51 27.77 32.07 29.26 26.71 27.98 24.54 26.22 22.92 30.23 18.24 24.00 39.41 38.46 33.48 31.82 26.52 15.61 24.09 $27.07 28.22 32.62 29.92 27.01 28.37 24.67 26.79 23.36 30.56 18.73 24.35 40.86 39.55 34.82 32.48 27.01 15.98 24.39 $27.16 28.29 32.73 30.00 27.07 28.44 24.71 26.89 23.48 30.71 18.83 24.44 40.77 39.79 34.95 32.64 27.03 16.03 24.40 $27.24 28.36 32.96 30.18 27.07 28.45 24.71 26.97 23.55 30.88 18.87 24.46 41.06 40.27 35.03 32.69 27.07 16.06 24.48 $909.29 1,116.35 1,452.77 1,138.21 1,087.10 1,152.78 979.15 870.50 788.45 1,181.99 563.62 926.40 1,674.93 1,396.10 1,255.50 1,145.52 869.86 405.86 761.24 $933.92 1,145.73 1,500.52 1,178.85 1,107.41 1,174.52 994.20 894.79 805.92 1,191.84 582.50 949.65 1,707.95 1,427.76 1,305.75 1,175.78 891.33 417.08 775.60 $937.02 1,145.75 1,505.58 1,176.00 1,107.16 1,174.57 995.81 895.44 810.06 1,197.69 583.73 950.72 1,708.26 1,440.40 1,314.12 1,178.30 891.99 418.38 778.36 $939.78 1,142.91 1,509.57 1,174.00 1,104.46 1,172.14 993.34 898.10 810.12 1,201.23 584.97 951.49 1,720.41 1,465.83 1,313.63 1,180.11 893.31 417.56 778.46 p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-4. Indexes of aggregate weekly hours and payrolls for all employees on private nonfarm payrolls by industry sector, seasonally adjusted [2007=100] Index of aggregate weekly hours1 Index of aggregate weekly payrolls2 Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Percent change from: Aug. 2018 Sept. 2018p Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods.......................... . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities. . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . Utilities................................... . Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services. . . . . Education and health services. . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.3 92.2 98.2 93.5 91.3 90.0 93.9 111.6 103.0 100.9 99.5 114.9 101.9 92.3 104.2 116.5 124.8 119.0 105.5 109.7 95.8 107.0 98.3 93.9 92.8 95.8 113.9 104.2 101.8 100.6 119.0 99.5 91.3 105.4 119.6 127.6 121.7 107.5 110.0 95.7 107.8 98.1 93.7 92.6 95.8 113.8 104.5 102.2 100.3 119.1 99.9 91.5 105.8 119.7 127.9 121.8 108.0 110.1 95.4 108.1 97.7 93.6 92.6 95.6 113.9 104.2 102.0 100.2 119.7 99.9 92.0 105.7 120.0 128.0 121.2 107.7 0.1 -0.3 0.3 -0.4 -0.1 0.0 -0.2 0.1 -0.3 -0.2 -0.1 0.5 0.0 0.5 -0.1 0.3 0.1 -0.5 -0.3 1 Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Percent change from: Aug. 2018 Sept. 2018p 136.0 115.7 126.5 118.8 113.4 111.8 116.9 142.2 127.0 127.3 120.0 140.0 132.7 126.4 136.1 150.1 159.2 149.9 139.3 142.0 122.1 140.1 127.8 117.9 116.9 120.0 148.3 131.1 129.9 124.5 147.0 134.4 128.6 143.1 157.4 165.8 156.9 143.7 142.8 122.4 141.7 127.9 117.9 117.0 120.2 148.7 132.0 131.0 124.9 147.8 134.5 129.6 144.2 158.2 166.3 157.6 144.5 143.3 122.3 143.0 128.1 117.8 117.0 119.9 149.3 132.0 131.5 125.0 148.6 135.5 131.9 144.4 158.9 166.7 157.1 144.5 0.4 -0.1 0.9 0.2 -0.1 0.0 -0.2 0.4 0.0 0.4 0.1 0.5 0.7 1.8 0.1 0.4 0.2 -0.3 0.0 The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding 2007 annual average aggregate hours. Aggregate hours estimates are the product of estimates of average weekly hours and employment. 2 The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding 2007 annual average aggregate weekly payrolls. Aggregate payrolls estimates are the product of estimates of average hourly earnings, average weekly hours, and employment. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-5. Employment of women on nonfarm payrolls by industry sector, seasonally adjusted Women employees (in thousands) Percent of all employees Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods................................. . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities. . . . . . . . . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . . . . . . . . Utilities.......................................... . Information........................................ . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services. . . . . . . . . . . . Education and health services. . . . . . . . . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . Other services.................................... . Government............................................ . 72,769 59,945 4,424 91 889 3,444 1,816 1,628 55,521 11,035 1,745.1 7,888.2 1,274.1 127.2 1,102 4,794 9,253 17,934 8,343 3,060 12,824 74,050 61,160 4,595 94 930 3,571 1,887 1,684 56,565 11,164 1,787.7 7,928.3 1,319.2 128.6 1,092 4,844 9,498 18,254 8,594 3,119 12,890 74,196 61,276 4,607 95 933 3,579 1,892 1,687 56,669 11,173 1,797.8 7,925.6 1,321.3 128.6 1,088 4,846 9,541 18,289 8,605 3,127 12,920 74,246 61,324 4,623 94 939 3,590 1,898 1,692 56,701 11,173 1,796.1 7,919.8 1,329.0 128.4 1,088 4,847 9,554 18,297 8,615 3,127 12,922 49.5 48.1 22.0 13.2 12.8 27.6 23.4 34.5 53.1 40.1 29.5 49.8 24.5 23.0 39.6 56.5 45.0 77.0 52.0 52.9 57.4 49.7 48.3 22.2 12.7 12.9 28.1 23.7 35.3 53.4 40.2 29.9 49.8 24.7 23.4 39.4 56.5 45.2 77.1 52.6 53.2 57.6 49.7 48.3 22.2 12.7 12.8 28.1 23.8 35.4 53.3 40.1 29.9 49.8 24.7 23.3 39.3 56.4 45.3 77.1 52.6 53.2 57.7 49.7 48.3 22.2 12.5 12.9 28.2 23.8 35.5 53.3 40.1 29.9 49.8 24.7 23.3 39.3 56.3 45.2 77.0 52.7 53.2 57.7 p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-6. Employment of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 [In thousands] Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction......................................................................... . Manufacturing....................................................................... . Durable goods.................................................................... . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities. . . . . . . . . . . . . . . . . . . . . . .......................... . Wholesale trade.................................................................. . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing............................................... . Utilities............................................................................. . Information........................................................................... . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services.............................................. . Education and health services.................................................... . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other services....................................................................... . 102,719 14,479 504 5,220 8,755 5,322 3,433 88,240 23,227 4,741.3 13,521.0 4,518.8 446.1 2,243 6,603 16,794 20,463 14,116 4,794 104,410 14,871 549 5,395 8,927 5,472 3,455 89,539 23,495 4,800.7 13,607.9 4,646.5 440.2 2,228 6,640 17,157 20,794 14,370 4,855 104,599 14,888 554 5,405 8,929 5,476 3,453 89,711 23,533 4,816.0 13,610.2 4,665.5 441.4 2,230 6,654 17,207 20,847 14,376 4,864 104,696 14,912 553 5,414 8,945 5,493 3,452 89,784 23,550 4,822.7 13,603.6 4,681.6 441.8 2,229 6,673 17,236 20,871 14,359 4,866 1 Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-7. Average weekly hours and overtime of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 Sept. 2017 July 2018 Aug. 2018p Sept. 2018p AVERAGE WEEKLY HOURS Total private............................................................................ . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging............................................................... . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods............................................................. . Private service-providing........................................................... . Trade, transportation, and utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade..................................................................... . Transportation and warehousing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Utilities.......................................................................... . Information........................................................................ . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Education and health services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other services.................................................................... . 33.6 41.1 46.2 39.4 41.8 42.3 41.2 32.4 33.8 38.9 30.2 38.2 42.7 35.9 36.9 35.4 32.2 24.7 30.6 33.8 41.6 46.7 40.1 42.2 42.5 41.9 32.5 34.0 38.9 30.5 38.5 42.5 35.7 37.0 35.3 32.3 24.9 30.7 33.7 41.5 46.9 39.9 42.2 42.5 41.6 32.4 34.0 39.0 30.4 38.3 42.8 35.7 37.1 35.3 32.2 24.8 30.8 33.7 41.4 46.2 39.7 42.1 42.3 41.6 32.4 34.0 38.8 30.5 38.4 42.4 35.9 37.1 35.2 32.2 24.7 30.8 AVERAGE OVERTIME HOURS Manufacturing.......................................................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods.................................................................. . 4.4 4.5 4.2 4.5 4.6 4.4 4.5 4.6 4.4 4.4 4.5 4.3 Industry 1 Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-8. Average hourly and weekly earnings of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 Average hourly earnings Average weekly earnings Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing...................................... . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction......................................... . Manufacturing....................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities................ . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . . . . . . . . . . Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Financial activities.................................. . Professional and business services. . . . . . . . . . . . . . Education and health services.................... . Leisure and hospitality............................. . Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $22.20 23.35 27.40 27.11 20.99 21.99 19.39 21.95 19.45 24.85 15.38 21.47 36.31 30.83 26.71 26.16 23.15 13.47 20.31 $22.67 23.91 28.25 27.71 21.44 22.45 19.81 22.41 19.89 25.17 15.91 21.87 36.61 31.65 26.91 26.79 23.64 13.88 20.65 $22.75 24.00 28.56 27.76 21.53 22.52 19.91 22.49 20.01 25.33 15.98 21.94 36.98 31.85 26.95 26.84 23.71 13.93 20.63 $22.81 24.07 28.90 27.87 21.57 22.58 19.93 22.54 20.06 25.51 16.00 21.99 37.05 32.02 27.02 26.89 23.71 13.99 20.71 $745.92 959.69 1,265.88 1,068.13 877.38 930.18 798.87 711.18 657.41 966.67 464.48 820.15 1,550.44 1,106.80 985.60 926.06 745.43 332.71 621.49 $766.25 994.66 1,319.28 1,111.17 904.77 954.13 830.04 728.33 676.26 979.11 485.26 842.00 1,555.93 1,129.91 995.67 945.69 763.57 345.61 633.96 $766.68 996.00 1,339.46 1,107.62 908.57 957.10 828.26 728.68 680.34 987.87 485.79 840.30 1,582.74 1,137.05 999.85 947.45 763.46 345.46 635.40 $768.70 996.50 1,335.18 1,106.44 908.10 955.13 829.09 730.30 682.04 989.79 488.00 844.42 1,570.92 1,149.52 1,002.44 946.53 763.46 345.55 637.87 1 Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-9. Indexes of aggregate weekly hours and payrolls for production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 [2002=100] Index of aggregate weekly hours2 Index of aggregate weekly payrolls3 Industry Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Percent change from: Aug. 2018 Sept. 2018p Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods.......................... . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . Private service-providing. . . . . . . . . . . . . . . . . . . . Trade, transportation, and utilities. . . . . . . Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Transportation and warehousing. . . . . . Utilities................................... . Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . Professional and business services. . . . . Education and health services. . . . . . . . . . . Leisure and hospitality. . . . . . . . . . . . . . . . . . . . Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.0 90.9 123.7 103.0 84.0 84.6 83.3 121.8 109.4 108.6 103.4 129.9 97.4 91.9 114.7 133.2 140.5 127.7 102.9 117.6 94.5 136.2 108.3 86.5 87.4 85.3 123.9 111.4 110.0 105.1 134.7 95.7 90.8 115.7 135.7 143.2 131.1 104.5 117.4 94.4 138.1 108.0 86.5 87.5 84.6 123.8 111.5 110.6 104.7 134.5 96.6 90.9 116.2 136.1 143.1 130.6 105.1 117.6 94.3 135.8 107.6 86.4 87.3 84.6 123.9 111.6 110.2 105.0 135.3 95.8 91.3 116.5 136.0 143.3 129.9 105.1 0.2 -0.1 -1.7 -0.4 -0.1 -0.2 0.0 0.1 0.1 -0.4 0.3 0.6 -0.8 0.4 0.3 -0.1 0.1 -0.5 0.0 1 Sept. 2017 July 2018 Aug. 2018p Sept. 2018p Percent change from: Aug. 2018 Sept. 2018p 170.6 130.0 197.2 150.7 115.3 116.2 114.2 183.3 151.9 159.0 136.2 177.0 147.6 140.3 188.5 207.4 214.7 195.4 152.2 178.1 138.4 223.8 162.1 121.3 122.5 119.4 190.4 158.0 163.1 143.3 186.8 146.2 142.2 191.5 216.4 223.4 206.6 157.3 178.5 138.7 229.3 161.9 121.8 123.0 119.1 190.9 159.2 165.0 143.4 187.2 149.1 143.3 192.7 217.4 224.0 206.6 157.9 179.2 139.0 228.2 162.0 121.9 123.1 119.2 191.5 159.7 165.6 144.0 188.8 148.1 144.8 193.7 217.6 224.2 206.4 158.6 0.4 0.2 -0.5 0.1 0.1 0.1 0.1 0.3 0.3 0.4 0.4 0.9 -0.7 1.0 0.5 0.1 0.1 -0.1 0.4 Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the service-providing industries. These groups account for approximately four-fifths of the total employment on private nonfarm payrolls. 2 The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding 2002 annual average aggregate hours. Aggregate hours estimates are the product of estimates of average weekly hours and employment. 3 The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding 2002 annual average aggregate weekly payrolls. Aggregate payrolls estimates are the product of estimates of average hourly earnings, average weekly hours, and employment. p Preliminary NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors.