The Employment Situation - Bureau of Labor Statistics

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Transmission of material in this release is embargoed until 8:30 a.m. (EST) Friday, February 2, 2018

USDL-18-0154

Technical information: Household data: (202) 691-6378 • [email protected] • www.bls.gov/cps Establishment data: (202) 691-6555 • [email protected] • www.bls.gov/ces Media contact:

(202) 691-5902 • [email protected]

THE EMPLOYMENT SITUATION — JANUARY 2018 Total nonfarm payroll employment increased by 200,000 in January, and the unemployment rate was unchanged at 4.1 percent, the U.S. Bureau of Labor Statistics reported today. Employment continued to trend up in construction, food services and drinking places, health care, and manufacturing. Chart 1. Unemployment rate, seasonally adjusted, January 2016 – January 2018

Chart 2. Nonfarm payroll employment over-the-month change, seasonally adjusted, January 2016 – January 2018

Percent

Thousands

6.0

400 350

5.5

300

5.0

250 200

4.5

150 100

4.0

50

3.5

0

3.0

-50

Jan-16

Apr-16

Jul-16

Oct-16

Jan-17

Apr-17

Jul-17

Oct-17

Jan-18

Jan-16

Apr-16

Jul-16

Oc t -16

Jan-17

Apr-17

Jul-17

Oc t-17

Jan-18

Changes to The Employment Situation Data Establishment survey data have been revised as a result of the annual benchmarking process and the updating of seasonal adjustment factors. Also, household survey data for January 2018 reflect updated population estimates. See the notes beginning on page 5 for more information about these changes.

Household Survey Data In January, the unemployment rate was 4.1 percent for the fourth consecutive month. The number of unemployed persons, at 6.7 million, changed little over the month. (See table A-1. For information about annual population adjustments to the household survey estimates, see the note on page 7 and tables B and C.) Among the major worker groups, the unemployment rate for Blacks increased to 7.7 percent in January, and the rate for Whites edged down to 3.5 percent. The jobless rates for adult men (3.9 percent), adult women (3.6 percent), teenagers (13.9 percent), Asians (3.0 percent), and Hispanics (5.0 percent) showed little change. (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 in January and accounted for 21.5 percent of the unemployed. (See table A-12.) The civilian labor force and total employment, as measured by the household survey, changed little in January (after accounting for the annual adjustments to the population controls). The labor force participation rate was 62.7 percent for the fourth consecutive month and the employment-population ratio was 60.1 percent for the third month in a row. (See table A-1. For additional information about the effects of the population adjustments, see table C.) The number of persons employed part time for economic reasons (sometimes referred to as involuntary part-time workers) was essentially unchanged at 5.0 million in January. These individuals, who would have preferred full-time employment, were working part time because their hours had been cut back or because they were unable to find a full-time job. (See table A-8.) In January, 1.7 million persons were marginally attached to the labor force, little changed from a year earlier. (The 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 451,000 discouraged workers in January, little changed from a year earlier. (The 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 January 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 200,000 in January. Employment continued to trend up in construction, food services and drinking places, health care, and manufacturing. (See table B-1. For information about the annual benchmark process, see the note on page 5 and table A.) Construction added 36,000 jobs in January, with most of the increase occurring among specialty trade contractors (+26,000). Employment in residential building construction continued to trend up over the month (+5,000). Over the year, construction employment has increased by 226,000.

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Employment in food services and drinking places continued to trend up in January (+31,000). The industry has added 255,000 jobs over the past 12 months. Employment in health care continued to trend up in January (+21,000), with a gain of 13,000 in hospitals. In 2017, health care added an average of 24,000 jobs per month. In January, employment in manufacturing remained on an upward trend (+15,000). Durable goods industries added 18,000 jobs. Manufacturing has added 186,000 jobs over the past 12 months. Employment in other major industries, including mining, wholesale trade, retail trade, transportation and warehousing, information, financial activities, professional and business services, and government, changed little over the month. The average workweek for all employees on private nonfarm payrolls declined by 0.2 hour to 34.3 hours in January. In manufacturing, the workweek declined by 0.2 hour to 40.6 hours, while overtime remained at 3.5 hours. The average workweek for production and nonsupervisory employees on private nonfarm payrolls edged down by 0.1 hour to 33.6 hours. (See tables B-2 and B-7.) In January, average hourly earnings for all employees on private nonfarm payrolls rose by 9 cents to $26.74, following an 11-cent gain in December. Over the year, average hourly earnings have risen by 75 cents, or 2.9 percent. Average hourly earnings of private-sector production and nonsupervisory employees increased by 3 cents to $22.34 in January. (See tables B-3 and B-8.) The change in total nonfarm payroll employment for November was revised down from +252,000 to +216,000, and the change for December was revised up from +148,000 to +160,000. With these revisions, employment gains in November and December combined were 24,000 less 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. The annual benchmark process also contributed to the November and December revisions.) After revisions, job gains have averaged 192,000 over the last 3 months. _____________ The Employment Situation for February is scheduled to be released on Friday, March 9, 2018, at 8:30 a.m. (EST).

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Partial Federal Government Shutdown Due to a lapse in funding, some agencies of the federal government were shut down or were operating at reduced staffing levels from January 20, 2018, through January 22, 2018. All household data collection was suspended during the shutdown. Household survey data collection resumed on January 23, 2018, and was conducted through January 26, 2018, to allow for the usual number of collection days. The response rate for the household survey in January 2018 was slightly below the average rate for 2017. In the establishment survey, collection of data by interviewers was suspended on January 22, 2018, and resumed on January 23, 2018. Electronic data collection was not interrupted. Collection rates for the establishment survey for this collection period were within the normal range. Overall, there were no discernible effects on the national unemployment rate and other major household survey measures, or on the estimates of total nonfarm payroll employment, for the month of January.

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Revisions to Establishment Survey Data In accordance with annual practice, the establishment survey data released today have been benchmarked to reflect comprehensive counts of payroll jobs for March 2017. These counts are derived principally from the Quarterly Census of Employment and Wages (QCEW), which counts jobs covered by the Unemployment Insurance (UI) tax system. In addition, the data were updated to the 2017 North American Industry Classification System (NAICS) from the 2012 NAICS. This update resulted in minor changes to several detailed industries. The normal benchmark process revises not seasonally adjusted data from April 2016 forward and seasonally adjusted data from January 2013 forward. However, some data were also revised further back in their history than normal due to the implementation of 2017 NAICS and other minor technical changes related to rounding and re-aggregation of some series. The total nonfarm employment level for March 2017 was revised upward by 146,000 (+138,000 on a not seasonally adjusted basis, or +0.1 percent). On a not seasonally adjusted basis, the average absolute benchmark revision over the past 10 years is 0.2 percent. The effect of these revisions on the underlying trend in nonfarm payroll employment was minor. For example, the over-the-year change in total nonfarm employment for 2017 was revised from +2,055,000 to +2,173,000 (seasonally adjusted). Table A presents revised total nonfarm employment data on a seasonally adjusted basis from January to December 2017. All revised historical establishment survey data are available on the BLS website at www.bls.gov/ces/data.htm. In addition, an article that discusses the benchmark and post-benchmark revisions and other technical issues is available at www.bls.gov/web/empsit/cesbmart.htm.

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Table A. Revisions in total nonfarm employment, January-December 2017, seasonally adjusted (Numbers in thousands) Level Year and month

Over-the-month change

As As previously As revised Difference previously As revised Difference published published

2017 January……………………. February…………………… March....…………………… April....…………………… May......…………………… June.....……………………… July.....……………………… August...…………………… September………………… October..…………………… November.………………… December (p)……...………

145,541 145,773 145,823 146,030 146,175 146,385 146,523 146,731 146,769 146,980 147,232 147,380

145,696 145,896 145,969 146,144 146,299 146,538 146,728 146,949 146,963 147,234 147,450 147,610

(p) = preliminary.

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155 123 146 114 124 153 205 218 194 254 218 230

216 232 50 207 145 210 138 208 38 211 252 148

259 200 73 175 155 239 190 221 14 271 216 160

43 -32 23 -32 10 29 52 13 -24 60 -36 12

Adjustments to Population Estimates for the Household Survey Effective with data for January 2018, updated population estimates were incorporated into the household survey. Population estimates for the household survey are developed by the U.S. Census Bureau. Each year, the Census Bureau updates the estimates to reflect new information and assumptions about the growth of the population since the previous decennial census. The change in population reflected in the new estimates results from adjustments for net international migration, updated vital statistics, and estimation methodology improvements. In accordance with usual practice, BLS will not revise the official household survey estimates for December 2017 and earlier months. To show the impact of the population adjustments, however, differences in selected December 2017 labor force series based on the old and new population estimates are shown in table B. The adjustments increased the estimated size of the civilian noninstitutional population in December by 488,000, the civilian labor force by 333,000, employment by 318,000, and unemployment by 15,000. The number of persons not in the labor force was increased by 154,000. The total unemployment rate, employment-population ratio, and labor force participation rate were unaffected. Data users are cautioned that these annual population adjustments can affect the comparability of household data series over time. Table C shows the effect of the introduction of new population estimates on the comparison of selected labor force measures between December 2017 and January 2018. Additional information on the population adjustments and their effect on national labor force estimates is available at www.bls.gov/web/empsit/cps-pop-control-adjustments.pdf. Table B. Effect of the updated population controls on December 2017 estimates by sex, race, and Hispanic or Latino ethnicity, not seasonally adjusted (Numbers in thousands) Category

Civilian noninstitutional population...... Civilian labor force......................... Participation rate....................... Employed.................................... Employment-population ratio..... Unemployed................................ Unemployment rate................... Not in labor force..........................

Total

488 333 0.0 318 0.0 15 0.0 154

Men

Women

296 228 0.1 219 0.0 9 0.0 67

192 106 0.0 100 0.0 5 0.0 86

White

194 141 0.0 132 0.0 8 0.0 54

Black or African American 104 70 0.0 66 0.1 3 0.0 35

Asian

171 111 0.1 109 0.0 2 0.0 60

Hispanic or Latino ethnicity 328 242 0.0 230 0.1 12 0.0 86

NOTE: Detail may not sum to totals because of rounding. Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race.

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Table C. December 2017-January 2018 changes in selected labor force measures, with adjustments for population control effects (Numbers in thousands) Category

Dec.-Jan. change, as published

2018 population control effect

Dec.-Jan. change, after removing the population control effect ¹

Civilian noninstitutional population........ 671 488 Civilian labor force........................... 518 333 Participation rate......................... 0.0 0.0 Employed...................................... 409 318 Employment-population ratio........ 0.0 0.0 Unemployed.................................. 108 15 Unemployment rate..................... 0.0 0.0 Not in labor force............................. 153 154 ¹ This Dec.-Jan. change is calculated by subtracting the population control effect from the over-the-month change in the published seasonally adjusted estimates. NOTE: Detail may not sum to totals because of rounding.

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183 185 0.0 91 0.0 93 0.0 -1

HOUSEHOLD DATA Summary table A. Household data, seasonally adjusted [Numbers in thousands] Category

Jan. 2017

Nov. 2017

Dec. 2017

Change from: Dec. 2017Jan. 2018

Jan. 2018

Employment status Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force.......................................................... . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed.................................................................. . Employment-population ratio......................................... . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

254,082 159,718 62.9 152,076 59.9 7,642 4.8 94,364

255,949 160,533 62.7 153,917 60.1 6,616 4.1 95,416

256,109 160,597 62.7 154,021 60.1 6,576 4.1 95,512

256,780 161,115 62.7 154,430 60.1 6,684 4.1 95,665

– – – – – – – –

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................................................ .

4.8 4.4 4.4 15.0 4.3 7.8 3.8 5.9

4.1 3.7 3.6 15.9 3.7 7.2 3.0 4.8

4.1 3.8 3.7 13.6 3.7 6.8 2.5 4.9

4.1 3.9 3.6 13.9 3.5 7.7 3.0 5.0

– – – – – – – –

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............................................. .

3.9 7.3 5.2 3.8 2.5

3.3 5.2 4.3 3.6 2.1

3.4 6.3 4.2 3.6 2.1

3.4 5.4 4.5 3.4 2.1

– – – – –

Reason for unemployment Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . Job leavers..................................................................... . Reentrants...................................................................... . New entrants................................................................... .

3,700 862 2,152 803

3,149 739 2,025 697

3,254 715 2,003 581

3,273 716 1,958 645

– – – –

Duration of unemployment Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks.................................................................. . 15 to 26 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 weeks and over............................................................ .

2,452 2,081 1,229 1,825

2,253 1,894 921 1,593

2,235 1,994 882 1,515

2,280 1,943 981 1,421

– – – –

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......................................... .

5,776 3,561 1,934 20,444

4,851 2,995 1,558 21,022

4,915 3,097 1,570 21,122

4,989 3,009 1,663 20,867

– – – –

Persons not in the labor force (not seasonally adjusted) Marginally attached to the labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Discouraged workers....................................................... .

1,752 532

1,481 469

1,623 474

1,653 451

– –

- December - January changes in household data are not shown due to the introduction of updated population controls. 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 Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

259 252 69 0 51 18 8 3.9 10 183 5.1 22.4 -0.1 -0.6 -2 28 27 0.0 35 28.8 53 16 7

216 217 78 6 42 30 27 3.3 3 139 10.0 27.2 12.1 0.1 -4 9 16 7.1 38 27.8 20 11 -1

160 166 55 1 33 21 18 1.6 3 111 10.1 -25.6 11.6 0.3 -1 6 25 -1.5 39 35.6 37 8 -6

200 196 57 6 36 15 18 -0.3 -3 139 9.8 15.4 11.1 -1.4 -6 9 23 1.8 38 25.8 35 6 4

(3-month average change, in thousands) Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

204 199

167 170

216 220

192 193

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

49.6 48.2 82.4

49.5 48.1 82.4

49.5 48.1 82.4

49.5 48.1 82.4

34.4 $25.99 $894.06 106.5 0.2 132.4 0.4

34.5 $26.54 $915.63 108.3 0.5 137.5 0.7

34.5 $26.65 $919.43 108.5 0.2 138.2 0.5

34.3 $26.74 $917.18 108.0 -0.5 138.1 -0.1

61.0 50.0

66.1 63.2

65.5 60.5

57.9 53.9

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 120,000. 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 -70,000 to +170,000 (50,000 +/- 120,000). 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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 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. . . . . . . . . . . . . . . . . .

254,082 158,676 62.5 150,527 59.2 8,149 5.1 95,406 5,934

256,109 159,880 62.4 153,602 60.0 6,278 3.9 96,230 5,071

256,780 160,037 62.3 152,848 59.5 7,189 4.5 96,743 5,364

254,082 159,718 62.9 152,076 59.9 7,642 4.8 94,364 5,719

255,562 161,082 63.0 154,324 60.4 6,759 4.2 94,480 5,626

255,766 160,371 62.7 153,846 60.2 6,524 4.1 95,395 5,232

255,949 160,533 62.7 153,917 60.1 6,616 4.1 95,416 5,265

256,109 160,597 62.7 154,021 60.1 6,576 4.1 95,512 5,308

256,780 161,115 62.7 154,430 60.1 6,684 4.1 95,665 5,171

Men, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

122,781 84,234 68.6 79,721 64.9 4,514 5.4 38,546

123,786 84,831 68.5 81,300 65.7 3,531 4.2 38,955

124,173 85,125 68.6 81,046 65.3 4,079 4.8 39,048

122,781 85,048 69.3 80,973 65.9 4,075 4.8 37,732

123,516 85,519 69.2 81,902 66.3 3,617 4.2 37,996

123,617 85,247 69.0 81,667 66.1 3,580 4.2 38,370

123,707 85,221 68.9 81,666 66.0 3,555 4.2 38,486

123,786 85,354 69.0 81,821 66.1 3,533 4.1 38,432

124,173 85,931 69.2 82,274 66.3 3,658 4.3 38,242

Men, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

114,297 81,551 71.4 77,483 67.8 4,068 5.0 32,746

115,292 82,193 71.3 79,025 68.5 3,168 3.9 33,099

115,669 82,431 71.3 78,761 68.1 3,670 4.5 33,238

114,297 82,051 71.8 78,448 68.6 3,603 4.4 32,246

115,020 82,561 71.8 79,393 69.0 3,168 3.8 32,459

115,120 82,366 71.5 79,248 68.8 3,118 3.8 32,755

115,212 82,375 71.5 79,324 68.9 3,050 3.7 32,837

115,292 82,548 71.6 79,431 68.9 3,117 3.8 32,745

115,669 82,928 71.7 79,705 68.9 3,223 3.9 32,741

Women, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

131,301 74,441 56.7 70,806 53.9 3,635 4.9 56,860

132,323 75,048 56.7 72,301 54.6 2,747 3.7 57,275

132,607 74,912 56.5 71,802 54.1 3,110 4.2 57,695

131,301 74,670 56.9 71,103 54.2 3,567 4.8 56,631

132,047 75,563 57.2 72,422 54.8 3,142 4.2 56,484

132,149 75,124 56.8 72,179 54.6 2,945 3.9 57,026

132,242 75,312 57.0 72,251 54.6 3,061 4.1 56,930

132,323 75,243 56.9 72,200 54.6 3,043 4.0 57,080

132,607 75,183 56.7 72,157 54.4 3,027 4.0 57,423

Women, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

123,052 71,663 58.2 68,423 55.6 3,240 4.5 51,389

124,057 72,237 58.2 69,775 56.2 2,462 3.4 51,820

124,328 72,095 58.0 69,378 55.8 2,717 3.8 52,234

123,052 71,720 58.3 68,572 55.7 3,148 4.4 51,331

123,781 72,497 58.6 69,692 56.3 2,804 3.9 51,284

123,882 72,187 58.3 69,576 56.2 2,611 3.6 51,696

123,975 72,302 58.3 69,665 56.2 2,637 3.6 51,673

124,057 72,293 58.3 69,614 56.1 2,679 3.7 51,764

124,328 72,210 58.1 69,583 56.0 2,627 3.6 52,118

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

16,734 5,462 32.6 4,620 27.6 842 15.4 11,272

16,760 5,449 32.5 4,801 28.6 648 11.9 11,311

16,783 5,511 32.8 4,709 28.1 802 14.6 11,271

16,734 5,947 35.5 5,056 30.2 891 15.0 10,786

16,761 6,024 35.9 5,238 31.3 786 13.0 10,737

16,763 5,818 34.7 5,022 30.0 796 13.7 10,945

16,762 5,857 34.9 4,928 29.4 929 15.9 10,906

16,760 5,757 34.4 4,977 29.7 780 13.6 11,003

16,783 5,977 35.6 5,143 30.6 834 13.9 10,806

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.

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

198,453 123,921 62.4 118,097 59.5 5,824 4.7 74,532

199,458 124,594 62.5 120,148 60.2 4,446 3.6 74,864

199,738 124,547 62.4 119,640 59.9 4,907 3.9 75,191

198,453 124,658 62.8 119,324 60.1 5,335 4.3 73,794

199,191 125,397 63.0 120,754 60.6 4,643 3.7 73,794

199,298 124,757 62.6 120,400 60.4 4,356 3.5 74,541

199,386 125,110 62.7 120,514 60.4 4,596 3.7 74,276

199,458 125,200 62.8 120,551 60.4 4,649 3.7 74,258

199,738 125,334 62.7 120,886 60.5 4,447 3.5 74,405

64,905 71.6 61,910 68.3 2,995 4.6

65,263 71.6 62,964 69.0 2,299 3.5

65,344 71.5 62,743 68.6 2,601 4.0

65,274 72.0 62,696 69.1 2,578 4.0

65,348 71.8 63,159 69.4 2,189 3.3

65,244 71.6 63,155 69.3 2,090 3.2

65,394 71.7 63,282 69.4 2,112 3.2

65,511 71.8 63,307 69.4 2,204 3.4

65,732 71.9 63,510 69.5 2,222 3.4

54,844 57.5 52,582 55.1 2,262 4.1

55,061 57.4 53,356 55.6 1,705 3.1

54,873 57.2 53,129 55.3 1,744 3.2

54,839 57.5 52,679 55.2 2,160 3.9

55,447 57.9 53,538 55.9 1,909 3.4

55,014 57.4 53,298 55.6 1,715 3.1

55,147 57.5 53,342 55.6 1,805 3.3

55,161 57.5 53,275 55.5 1,886 3.4

54,896 57.2 53,255 55.5 1,641 3.0

4,171 33.8 3,604 29.2 567 13.6

4,270 34.6 3,828 31.0 442 10.4

4,330 35.1 3,768 30.5 562 13.0

4,545 36.8 3,949 32.0 596 13.1

4,602 37.3 4,057 32.9 545 11.8

4,499 36.5 3,947 32.0 552 12.3

4,569 37.0 3,891 31.5 678 14.8

4,528 36.7 3,970 32.2 559 12.3

4,705 38.1 4,121 33.4 584 12.4

32,063 19,830 61.8 18,262 57.0 1,569 7.9 12,232

32,436 20,050 61.8 18,791 57.9 1,260 6.3 12,385

32,575 20,109 61.7 18,507 56.8 1,602 8.0 12,466

32,063 19,991 62.3 18,436 57.5 1,555 7.8 12,072

32,333 20,254 62.6 18,838 58.3 1,416 7.0 12,079

32,370 20,134 62.2 18,654 57.6 1,479 7.3 12,236

32,404 20,175 62.3 18,718 57.8 1,457 7.2 12,230

32,436 20,153 62.1 18,790 57.9 1,362 6.8 12,283

32,575 20,211 62.0 18,663 57.3 1,548 7.7 12,364

9,028 67.5 8,318 62.2 710 7.9

9,128 67.3 8,537 63.0 591 6.5

9,196 67.5 8,457 62.1 739 8.0

9,098 68.0 8,425 63.0 673 7.4

9,294 68.8 8,668 64.2 626 6.7

9,218 68.2 8,539 63.1 679 7.4

9,225 68.1 8,552 63.1 673 7.3

9,178 67.7 8,576 63.2 601 6.6

9,254 67.9 8,564 62.9 690 7.5

10,105 62.5 9,431 58.3 673 6.7

10,236 62.5 9,707 59.3 529 5.2

10,210 62.1 9,518 57.9 692 6.8

10,113 62.5 9,437 58.3 676 6.7

10,166 62.3 9,550 58.5 616 6.1

10,204 62.5 9,560 58.5 644 6.3

10,219 62.5 9,622 58.8 597 5.8

10,252 62.6 9,657 59.0 595 5.8

10,197 62.0 9,524 57.9 673 6.6

698 27.8 512 20.4 186 26.7

686 27.4 547 21.8 140 20.3

703 28.0 532 21.2 171 24.3

780 31.0 574 22.8 206 26.4

794 31.6 619 24.7 174 22.0

712 28.4 555 22.1 157 22.0

731 29.1 544 21.7 187 25.5

723 28.8 557 22.2 166 22.9

759 30.3 575 22.9 185 24.3

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Jan. 2017 15,157 9,617 63.5 9,250 61.0 367 3.8 5,540

Dec. 2017 15,610 9,779 62.6 9,546 61.2 233 2.4 5,831

Jan. 2018 15,731 9,855 62.6 9,548 60.7 307 3.1 5,876

Jan. 2017 15,157 9,653 63.7 9,290 61.3 363 3.8 5,505

Sept. 2017 15,483 9,985 64.5 9,626 62.2 359 3.6 5,498

Oct. 2017 15,466 9,864 63.8 9,565 61.8 299 3.0 5,602

Nov. 2017 15,370 9,699 63.1 9,407 61.2 292 3.0 5,671

Dec. 2017 15,610 9,782 62.7 9,536 61.1 246 2.5 5,829

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.

Jan. 2018 15,731 9,885 62.8 9,584 60.9 300 3.0 5,846

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

40,922 26,927 65.8 25,146 61.4 1,781 6.6 13,995

41,831 27,429 65.6 26,077 62.3 1,352 4.9 14,402

42,249 27,713 65.6 26,114 61.8 1,599 5.8 14,536

40,922 27,051 66.1 25,467 62.2 1,584 5.9 13,871

41,579 27,609 66.4 26,209 63.0 1,400 5.1 13,970

41,665 27,319 65.6 25,999 62.4 1,321 4.8 14,346

41,751 27,389 65.6 26,088 62.5 1,301 4.8 14,361

41,831 27,498 65.7 26,141 62.5 1,356 4.9 14,334

42,249 27,826 65.9 26,432 62.6 1,393 5.0 14,423

14,837 80.5 13,966 75.8 872 5.9

15,090 80.1 14,457 76.7 634 4.2

15,281 80.2 14,448 75.8 833 5.4

14,898 80.9 14,189 77.0 709 4.8

15,110 80.7 14,502 77.5 608 4.0

14,959 79.7 14,380 76.7 579 3.9

14,969 79.6 14,400 76.6 569 3.8

15,084 80.1 14,507 77.0 577 3.8

15,320 80.4 14,659 76.9 661 4.3

11,022 59.0 10,290 55.1 732 6.6

11,165 58.4 10,604 55.5 561 5.0

11,243 58.3 10,683 55.4 560 5.0

11,040 59.1 10,351 55.4 689 6.2

11,249 59.2 10,637 56.0 612 5.4

11,146 58.5 10,601 55.7 546 4.9

11,222 58.8 10,676 56.0 546 4.9

11,189 58.5 10,598 55.4 591 5.3

11,257 58.4 10,737 55.7 520 4.6

1,068 28.0 890 23.4 178 16.6

1,174 30.3 1,017 26.2 158 13.4

1,189 30.4 982 25.1 207 17.4

1,113 29.2 927 24.3 186 16.7

1,250 32.4 1,070 27.7 180 14.4

1,214 31.4 1,018 26.3 196 16.1

1,198 30.9 1,012 26.2 185 15.5

1,225 31.6 1,037 26.8 188 15.4

1,249 32.0 1,036 26.5 213 17.0

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

Less than a high school diploma Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . .

10,627 45.7 9,677 41.6 950 8.9

10,148 44.8 9,455 41.8 693 6.8

10,433 45.5 9,695 42.2 738 7.1

10,520 45.2 9,756 42.0 765 7.3

10,552 46.2 9,846 43.1 706 6.7

10,328 46.2 9,699 43.4 629 6.1

10,167 45.1 9,639 42.7 528 5.2

10,148 44.8 9,507 42.0 641 6.3

10,274 44.8 9,715 42.3 559 5.4

High school graduates, no college1 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . .

35,191 57.5 33,116 54.1 2,076 5.9

35,760 57.5 34,245 55.1 1,515 4.2

35,395 57.0 33,589 54.0 1,806 5.1

35,456 58.0 33,597 54.9 1,859 5.2

35,916 57.4 34,377 55.0 1,539 4.3

35,572 56.9 34,050 54.4 1,522 4.3

36,014 57.5 34,463 55.1 1,551 4.3

35,927 57.8 34,425 55.4 1,503 4.2

35,735 57.5 34,134 54.9 1,601 4.5

Some college or associate degree Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . .

37,982 65.6 36,436 63.0 1,547 4.1

37,897 66.2 36,590 63.9 1,307 3.4

37,792 65.8 36,411 63.4 1,380 3.7

38,076 65.8 36,634 63.3 1,441 3.8

37,540 65.9 36,189 63.5 1,351 3.6

37,761 65.8 36,385 63.4 1,376 3.6

37,955 66.2 36,579 63.8 1,376 3.6

37,906 66.2 36,534 63.8 1,372 3.6

37,863 66.0 36,566 63.7 1,297 3.4

Bachelor’s degree and higher2 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . .

54,369 73.9 52,987 72.1 1,382 2.5

55,824 73.4 54,701 72.0 1,123 2.0

55,885 73.3 54,649 71.7 1,235 2.2

54,377 73.9 53,025 72.1 1,352 2.5

55,621 74.1 54,378 72.5 1,242 2.2

55,612 73.8 54,477 72.3 1,135 2.0

55,501 73.6 54,348 72.1 1,153 2.1

55,852 73.5 54,653 71.9 1,200 2.1

55,922 73.4 54,720 71.8 1,202 2.1

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

Jan. 2017

Men Jan. 2018

Jan. 2017

Women Jan. 2018

Jan. 2017

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

20,674 10,258 49.6 9,798 47.4 461 4.5 10,416

19,376 9,426 48.6 9,046 46.7 380 4.0 9,950

18,653 9,080 48.7 8,664 46.4 416 4.6 9,573

17,518 8,353 47.7 8,012 45.7 341 4.1 9,165

2,021 1,179 58.3 1,134 56.1 45 3.8 842

1,858 1,073 57.8 1,034 55.7 39 3.6 785

Gulf War-era II veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4,067 3,342 82.2 3,131 77.0 211 6.3 725

4,116 3,297 80.1 3,163 76.9 134 4.1 819

3,394 2,878 84.8 2,695 79.4 184 6.4 515

3,446 2,861 83.0 2,739 79.5 122 4.3 585

673 463 68.9 437 64.9 27 5.8 209

670 436 65.1 425 63.4 11 2.6 234

Gulf War-era I veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

3,298 2,556 77.5 2,469 74.9 87 3.4 742

3,045 2,370 77.8 2,263 74.3 107 4.5 675

2,756 2,191 79.5 2,109 76.5 82 3.7 565

2,537 2,000 78.8 1,908 75.2 92 4.6 537

542 365 67.4 360 66.5 5 1.3 177

508 370 72.9 355 69.9 15 4.1 138

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

8,218 1,832 22.3 1,754 21.3 78 4.3 6,386

7,821 1,623 20.7 1,568 20.1 54 3.4 6,198

7,921 1,750 22.1 1,681 21.2 69 3.9 6,171

7,555 1,570 20.8 1,516 20.1 54 3.5 5,985

297 83 27.8 73 24.5 10 11.8 214

266 52 19.7 52 19.7 0 – 214

Veterans of other service periods Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

5,091 2,528 49.7 2,444 48.0 85 3.3 2,563

4,394 2,136 48.6 2,052 46.7 85 4.0 2,258

4,582 2,261 49.3 2,180 47.6 81 3.6 2,321

3,980 1,922 48.3 1,849 46.5 72 3.8 2,058

509 267 52.5 264 51.9 3 1.2 242

414 215 51.8 202 48.8 12 5.8 199

NONVETERANS, 18 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

224,320 146,479 65.3 139,086 62.0 7,393 5.0 77,842

228,181 148,592 65.1 142,078 62.3 6,514 4.4 79,589

99,556 74,235 74.6 70,288 70.6 3,948 5.3 25,320

101,942 75,842 74.4 72,218 70.8 3,624 4.8 26,100

124,765 72,243 57.9 68,798 55.1 3,445 4.8 52,521

126,239 72,750 57.6 69,860 55.3 2,890 4.0 53,489

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

Jan. 2017

Jan. 2018

Persons with no disability Jan. 2017

Jan. 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...................................................................... .

29,964 5,847 19.5 5,206 17.4 641 11.0 24,116

29,404 5,987 20.4 5,460 18.6 527 8.8 23,417

224,118 152,828 68.2 145,321 64.8 7,508 4.9 71,290

227,376 154,050 67.8 147,388 64.8 6,662 4.3 73,326

Men, 16 to 64 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... .

2,479 33.0 2,181 29.0 298 12.0 5,032

2,587 35.8 2,337 32.4 250 9.7 4,632

76,763 82.1 72,724 77.8 4,039 5.3 16,721

77,314 82.0 73,686 78.1 3,628 4.7 17,000

Women, 16 to 64 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... .

2,320 28.7 2,053 25.4 267 11.5 5,765

2,321 30.4 2,108 27.6 213 9.2 5,314

67,814 70.5 64,631 67.2 3,183 4.7 28,410

68,309 70.4 65,554 67.5 2,755 4.0 28,777

Both sexes, 65 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Participation rate.................................................................... . Employed............................................................................ . Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Unemployed......................................................................... . Unemployment rate.............................................................. . Not in labor force...................................................................... .

1,049 7.3 972 6.8 77 7.3 13,319

1,079 7.4 1,016 7.0 63 5.9 13,471

8,252 24.0 7,966 23.1 286 3.5 26,159

8,427 23.4 8,147 22.6 279 3.3 27,550

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

Jan. 2017

Men Jan. 2018

Jan. 2017

Women Jan. 2018

Jan. 2017

Jan. 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................................................... .

41,379 27,144 65.6 25,721 62.2 1,423 5.2 14,235

42,625 27,754 65.1 26,453 62.1 1,300 4.7 14,871

20,148 15,683 77.8 14,883 73.9 799 5.1 4,465

20,580 15,938 77.4 15,257 74.1 681 4.3 4,642

21,231 11,461 54.0 10,837 51.0 624 5.4 9,770

22,045 11,816 53.6 11,196 50.8 620 5.2 10,229

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................................................... .

212,703 131,532 61.8 124,806 58.7 6,726 5.1 81,171

214,156 132,283 61.8 126,395 59.0 5,889 4.5 81,872

102,633 68,552 66.8 64,837 63.2 3,715 5.4 34,081

103,593 69,187 66.8 65,789 63.5 3,398 4.9 34,406

110,070 62,980 57.2 59,969 54.5 3,011 4.8 47,090

110,562 63,096 57.1 60,606 54.8 2,491 3.9 47,466

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

2,225 1,460 747 18 148,302 139,942 21,083 118,859 731 118,128 8,313 47

2,368 1,590 743 35 151,233 142,295 20,789 121,506 687 120,819 8,881 57

2,297 1,538 732 27 150,551 141,666 21,109 120,557 701 119,855 8,838 47

2,432 1,625 790 – 149,633 141,067 20,803 120,275 – 119,581 8,504 –

2,311 1,554 745 – 151,942 142,959 20,908 122,055 – 121,423 8,861 –

2,471 1,707 749 – 151,334 142,294 20,755 121,578 – 121,012 8,956 –

2,510 1,697 791 – 151,453 142,472 20,717 121,779 – 121,140 8,922 –

2,552 1,717 793 – 151,478 142,505 20,642 121,900 – 121,206 8,970 –

2,513 1,712 781 – 151,894 142,828 20,815 122,022 – 121,349 8,991 –

6,226 3,966 1,902 20,612

5,060 3,172 1,529 21,631

5,474 3,363 1,666 20,916

5,776 3,561 1,934 20,444

5,148 3,098 1,725 20,951

4,880 2,960 1,615 20,897

4,851 2,995 1,558 21,022

4,915 3,097 1,570 21,122

4,989 3,009 1,663 20,867

6,127 3,909 1,895 20,277

4,992 3,132 1,528 21,226

5,380 3,311 1,662 20,516

5,717 3,506 1,926 20,076

5,048 3,054 1,702 20,619

4,799 2,944 1,600 20,552

4,759 2,952 1,552 20,645

4,856 3,049 1,563 20,703

4,926 2,965 1,659 20,434

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

150,527 4,620 1,643 2,977 145,907 13,691 132,215 97,656 33,926 31,406 32,324 34,560

153,602 4,801 1,803 2,998 148,801 13,809 134,991 99,547 34,614 32,302 32,631 35,444

152,848 4,709 1,724 2,986 148,139 13,794 134,345 99,157 34,559 32,231 32,367 35,188

152,076 5,056 1,822 3,231 147,020 14,076 132,971 98,191 34,157 31,557 32,478 34,779

154,324 5,238 1,972 3,206 149,085 14,211 134,845 99,235 34,652 32,045 32,538 35,610

153,846 5,022 1,932 3,070 148,824 14,183 134,716 99,227 34,666 32,094 32,468 35,489

153,917 4,928 1,929 2,996 148,989 13,982 135,009 99,407 34,692 32,146 32,568 35,602

154,021 4,977 1,907 3,075 149,045 13,936 135,083 99,535 34,606 32,304 32,625 35,548

154,430 5,143 1,915 3,221 149,287 14,153 135,129 99,674 34,768 32,380 32,526 35,455

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

79,721 2,237 769 1,468 77,483 7,028 70,455 52,196 18,287 16,886 17,023 18,259

81,300 2,275 779 1,495 79,025 7,093 71,933 53,163 18,559 17,397 17,206 18,770

81,046 2,286 817 1,469 78,761 7,079 71,682 52,996 18,630 17,277 17,089 18,686

80,973 2,525 877 1,642 78,448 7,305 71,178 52,675 18,470 17,052 17,152 18,503

81,902 2,509 899 1,600 79,393 7,313 72,028 52,980 18,605 17,262 17,114 19,048

81,667 2,419 884 1,528 79,248 7,280 72,016 53,082 18,617 17,320 17,145 18,934

81,666 2,342 884 1,443 79,324 7,210 72,102 53,084 18,617 17,300 17,167 19,018

81,821 2,391 848 1,540 79,431 7,203 72,226 53,308 18,612 17,450 17,246 18,918

82,274 2,569 920 1,638 79,705 7,339 72,388 53,441 18,773 17,447 17,221 18,947

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

70,806 2,383 874 1,509 68,423 6,663 61,760 45,460 15,639 14,520 15,301 16,300

72,301 2,526 1,024 1,502 69,775 6,717 63,058 46,385 16,055 14,905 15,425 16,674

71,802 2,424 907 1,517 69,378 6,715 62,663 46,161 15,929 14,954 15,278 16,502

71,103 2,531 945 1,589 68,572 6,771 61,793 45,517 15,687 14,505 15,325 16,276

72,422 2,729 1,073 1,606 69,692 6,898 62,817 46,255 16,047 14,784 15,425 16,562

72,179 2,603 1,048 1,541 69,576 6,903 62,700 46,146 16,049 14,774 15,323 16,555

72,251 2,586 1,044 1,552 69,665 6,772 62,906 46,322 16,074 14,846 15,402 16,584

72,200 2,586 1,059 1,535 69,614 6,733 62,857 46,227 15,994 14,853 15,380 16,630

72,157 2,574 995 1,583 69,583 6,814 62,742 46,233 15,995 14,933 15,305 16,508

MARITAL STATUS Married men, spouse present1. . . . . . . . . . . . . . . . . . . . . . . . . . Married women, spouse present1. . . . . . . . . . . . . . . . . . . . . . . Women who maintain families2. . . . . . . . . . . . . . . . . . . . . . . . .

45,344 35,444 9,906

45,284 35,952 9,893

45,442 35,624 9,652

45,654 35,540 –

45,594 35,591 –

45,776 35,853 –

45,621 35,844 –

45,439 35,813 –

45,714 35,768 –

FULL- OR PART-TIME STATUS Full-time workers3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part-time workers4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

123,015 27,512

125,985 27,616

125,435 27,413

124,625 27,363

126,676 27,603

126,636 27,142

126,758 27,138

126,723 27,257

127,016 27,271

MULTIPLE JOBHOLDERS Total multiple jobholders. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Percent of total employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

7,405 4.9

7,776 5.1

7,751 5.1

7,547 5.0

7,350 4.8

7,209 4.7

7,342 4.8

7,647 5.0

7,845 5.1

SELF-EMPLOYMENT Self-employed workers, incorporated. . . . . . . . . . . . . . . . . . . Self-employed workers, unincorporated. . . . . . . . . . . . . . . . .

5,713 9,060

6,047 9,624

5,958 9,570

– 9,294

– 9,605

– 9,705

– 9,713

– 9,763

– 9,773

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . .

7,642 891 346 542 6,751 1,264 5,421 4,190 1,775 1,293 1,122 1,257

6,576 780 341 467 5,796 1,063 4,735 3,528 1,615 992 921 1,200

6,684 834 337 495 5,851 1,123 4,704 3,611 1,576 1,034 1,001 1,103

4.8 15.0 15.9 14.4 4.4 8.2 3.9 4.1 4.9 3.9 3.3 3.5

4.2 13.0 13.9 12.8 3.9 7.6 3.5 3.5 4.4 3.2 3.1 3.2

4.1 13.7 15.0 13.2 3.7 7.2 3.3 3.4 4.4 3.0 2.7 3.1

4.1 15.9 19.1 14.4 3.7 7.1 3.3 3.4 4.3 3.1 2.7 3.1

4.1 13.6 15.2 13.2 3.7 7.1 3.4 3.4 4.5 3.0 2.7 3.3

4.1 13.9 15.0 13.3 3.8 7.4 3.4 3.5 4.3 3.1 3.0 3.0

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. . . . . . . . . . . . . . . . . . . . . . . . . . .

4,075 472 180 289 3,603 743 2,834 2,199 959 678 562 635

3,533 416 158 271 3,117 620 2,480 1,814 841 471 502 667

3,658 434 137 286 3,223 651 2,561 1,905 796 552 557 656

4.8 15.8 17.0 15.0 4.4 9.2 3.8 4.0 4.9 3.8 3.2 3.3

4.2 15.2 15.6 15.2 3.8 8.7 3.4 3.4 4.3 2.9 3.0 3.1

4.2 16.0 17.4 15.7 3.8 8.0 3.3 3.3 4.3 2.8 2.7 3.3

4.2 17.7 20.7 16.6 3.7 8.4 3.2 3.2 4.1 2.7 2.7 3.4

4.1 14.8 15.7 15.0 3.8 7.9 3.3 3.3 4.3 2.6 2.8 3.4

4.3 14.5 13.0 14.9 3.9 8.2 3.4 3.4 4.1 3.1 3.1 3.3

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. . . . . . . . . . . . . . . . . . . . . . . . . . .

3,567 419 166 253 3,148 521 2,587 1,991 816 615 560 616

3,043 364 183 196 2,679 443 2,254 1,714 774 521 418 546

3,027 399 199 209 2,627 472 2,143 1,706 781 482 444 421

4.8 14.2 14.9 13.7 4.4 7.1 4.0 4.2 4.9 4.1 3.5 3.6

4.2 11.0 12.5 10.3 3.9 6.4 3.6 3.7 4.4 3.5 3.1 3.4

3.9 11.4 12.8 10.6 3.6 6.3 3.3 3.5 4.5 3.3 2.7 2.9

4.1 14.1 17.7 12.4 3.6 5.8 3.4 3.6 4.5 3.5 2.8 2.8

4.0 12.3 14.7 11.3 3.7 6.2 3.5 3.6 4.6 3.4 2.6 3.2

4.0 13.4 16.7 11.7 3.6 6.5 3.3 3.6 4.7 3.1 2.8 2.5

MARITAL STATUS Married men, spouse present1. . . . . . . . . . . . . . . . . . . . Married women, spouse present1. . . . . . . . . . . . . . . . . Women who maintain families2. . . . . . . . . . . . . . . . . . . .

1,273 1,110 660

1,033 942 552

1,080 877 666

2.7 3.0 6.3

2.3 2.5 6.5

2.0 2.4 5.6

2.1 2.3 5.5

2.2 2.6 5.3

2.3 2.4 6.5

FULL- OR PART-TIME STATUS Full-time workers3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part-time workers4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

6,240 1,393

5,314 1,295

5,347 1,340

4.8 4.8

4.2 4.3

4.0 4.5

3.9 5.0

4.0 4.5

4.0 4.7

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

Jan. 2017

Dec. 2017

Seasonally adjusted

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 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........................................ .

4,361 1,518 2,843 2,093 750 864 2,224 701

3,298 1,010 2,288 1,604 684 673 1,827 480

3,891 1,333 2,558 1,756 802 715 2,013 571

3,700 1,056 2,644 1,973 671 862 2,152 803

3,316 891 2,425 1,728 697 737 2,068 663

3,214 862 2,352 1,688 664 731 2,001 626

3,149 950 2,200 1,539 661 739 2,025 697

3,254 915 2,339 1,636 703 715 2,003 581

3,273 912 2,361 1,652 709 716 1,958 645

PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . On temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Not on temporary layoff. . . . . . . . . . . . . . . . . . . . . . . . . . Job leavers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reentrants........................................... . New entrants........................................ .

53.5 18.6 34.9 10.6 27.3 8.6

52.5 16.1 36.4 10.7 29.1 7.7

54.1 18.5 35.6 9.9 28.0 7.9

49.2 14.0 35.2 11.5 28.6 10.7

48.9 13.1 35.8 10.9 30.5 9.8

48.9 13.1 35.8 11.1 30.5 9.5

47.6 14.4 33.3 11.2 30.6 10.5

49.7 14.0 35.7 10.9 30.6 8.9

49.6 13.8 35.8 10.9 29.7 9.8

UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Job leavers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reentrants........................................... . New entrants........................................ .

2.7 0.5 1.4 0.4

2.1 0.4 1.1 0.3

2.4 0.4 1.3 0.4

2.3 0.5 1.3 0.5

2.1 0.5 1.3 0.4

2.0 0.5 1.2 0.4

2.0 0.5 1.3 0.4

2.0 0.4 1.2 0.4

2.0 0.4 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

Jan. 2017

Dec. 2017

Jan. 2018

Seasonally adjusted Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

NUMBER OF UNEMPLOYED Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks....................................... . 15 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 to 26 weeks................................... . 27 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2,824 2,216 3,109 1,201 1,908

2,144 1,848 2,287 867 1,420

2,655 2,064 2,470 972 1,498

2,452 2,081 3,055 1,229 1,825

2,223 1,879 2,695 962 1,733

2,128 1,943 2,500 856 1,645

2,253 1,894 2,514 921 1,593

2,235 1,994 2,397 882 1,515

2,280 1,943 2,402 981 1,421

Average (mean) duration, in weeks. . . . . . . . . . . . . . . Median duration, in weeks. . . . . . . . . . . . . . . . . . . . . . . . .

23.7 9.6

23.5 8.8

22.7 8.9

25.3 10.3

26.6 10.1

25.8 9.8

25.2 9.5

23.6 9.1

24.1 9.4

PERCENT DISTRIBUTION Less than 5 weeks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 to 14 weeks....................................... . 15 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 to 26 weeks................................... . 27 weeks and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

34.6 27.2 38.2 14.7 23.4

34.1 29.4 36.4 13.8 22.6

36.9 28.7 34.4 13.5 20.8

32.3 27.4 40.3 16.2 24.1

32.7 27.6 39.7 14.2 25.5

32.4 29.6 38.0 13.0 25.0

33.8 28.4 37.7 13.8 23.9

33.7 30.1 36.2 13.3 22.9

34.4 29.3 36.3 14.8 21.5

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

Unemployed

Unemployment rates

Jan. 2017

Jan. 2018

Jan. 2017

Jan. 2018

Jan. 2017

Jan. 2018

150,527 59,921

152,848 62,123

8,149 1,425

7,189 1,374

5.1 2.3

4.5 2.2

25,051 34,871 25,772 33,750 15,971 17,778

25,480 36,643 25,725 33,454 15,725 17,729

644 781 1,741 1,770 883 888

513 861 1,617 1,495 754 741

2.5 2.2 6.3 5.0 5.2 4.8

2.0 2.3 5.9 4.3 4.6 4.0

13,745 1,019 7,591 5,134

14,212 1,090 8,226 4,897

1,241 181 872 187

1,078 166 755 157

8.3 15.1 10.3 3.5

7.1 13.2 8.4 3.1

17,338 8,196 9,142

17,334 8,495 8,839

1,250 558 693

1,050 401 649

6.7 6.4 7.0

5.7 4.5 6.8

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

Jan. 2017

Jan. 2018

Jan. 2017

Jan. 2018

8,149 6,403 51 859 633 431 202 1,164 308 137 319 953 623 1,093 264 198 485 362

7,189 5,622 29 707 526 318 207 1,081 232 146 216 849 641 903 293 168 474 354

5.1 5.1 6.8 9.4 4.2 4.5 3.6 5.5 4.7 4.9 3.3 5.7 2.7 7.9 4.0 12.4 2.2 3.8

4.5 4.5 4.1 7.3 3.4 3.3 3.7 5.3 3.5 5.3 2.2 5.0 2.7 6.8 4.4 10.0 2.2 3.5

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

Jan. 2017

Dec. 2017

Jan. 2018

Jan. 2017

Sept. 2017

Oct. 2017

Nov. 2017

Dec. 2017

Jan. 2018

2.0

1.4

1.5

1.9

1.7

1.6

1.6

1.5

1.5

2.7

2.1

2.4

2.3

2.1

2.0

2.0

2.0

2.0

5.1

3.9

4.5

4.8

4.2

4.1

4.1

4.1

4.1

5.5

4.2

4.8

5.1

4.4

4.4

4.4

4.4

4.4

6.2

4.9

5.5

5.8

5.1

5.0

5.0

5.1

5.1

10.1

8.0

8.9

9.4

8.3

8.0

8.0

8.1

8.2

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

Jan. 2017

Men Jan. 2018

Jan. 2017

Women Jan. 2018

Jan. 2017

Jan. 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. . .

95,406 5,934 1,752 532 1,220

96,743 5,364 1,653 451 1,202

38,546 2,713 903 305 598

39,048 2,427 917 282 635

56,860 3,221 849 227 622

57,695 2,937 736 169 567

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. . . . . . . . . . . . . . . . . . . . . . . . .

7,405 4.9 3,904 1,961 302 1,190

7,751 5.1 4,207 2,042 339 1,109

3,658 4.6 2,129 693 188 635

3,931 4.9 2,330 762 207 600

3,747 5.3 1,776 1,268 114 556

3,820 5.3 1,877 1,280 132 509

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

143,393 121,222 19,373

148,783 125,970 20,342

148,558 125,885 20,216

145,473 123,292 19,844

145,696 123,383 19,888

147,450 125,120 20,246

147,610 125,286 20,301

147,810 125,482 20,358

Change from: Dec.2017 Jan.2018p 200 196 57

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. . . . . . . . . . . . . . . . .

637 48.2 588.5 148.6 176.7 51.0 38.7

703 50.6 652.0 146.9 187.5 52.3 38.4

700 50.0 649.8 145.3 183.9 52.0 38.7

693 49.4 643.5 144.9 178.4 51.8 38.6

646 50.0 595.9 149.4 183.3 50.7 38.8

697 49.3 647.3 146.0 186.2 52.1 38.5

698 49.8 647.8 144.4 185.5 51.7 38.6

704 51.0 652.5 145.7 185.4 51.8 38.7

6 1.2 4.7 1.3 -0.1 0.1 0.1

87.0 263.2

96.8 317.6

93.2 320.6

88.0 320.2

93.8 263.2

95.6 315.1

95.2 317.9

94.9 321.4

-0.3 3.5

Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Construction of buildings. . . . . . . . . . . . . . . . . . . . . . . Residential building. . . . . . . . . . . . . . . . . . . . . . . . . . Nonresidential building. . . . . . . . . . . . . . . . . . . . . . Heavy and civil engineering construction. . . . . . Specialty trade contractors. . . . . . . . . . . . . . . . . . . . Residential specialty trade contractors. . . . . . Nonresidential specialty trade contractors. . .

6,459 1,467.7 717.8 749.9 846.0 4,145.6 1,821.1 2,324.5

7,117 1,567.6 765.0 802.6 1,005.9 4,543.3 1,993.3 2,550.0

6,971 1,556.8 765.6 791.2 940.0 4,474.2 1,965.5 2,508.7

6,692 1,512.3 744.6 767.7 867.9 4,311.3 1,895.4 2,415.9

6,873 1,522.6 747.3 775.3 968.5 4,381.8 1,932.7 2,449.1

7,030 1,555.1 758.1 797.0 984.5 4,490.0 1,972.6 2,517.4

7,063 1,563.4 766.9 796.5 987.1 4,512.6 1,982.5 2,530.1

7,099 1,566.2 772.0 794.2 993.4 4,538.9 1,996.4 2,542.5

36 2.8 5.1 -2.3 6.3 26.3 13.9 12.4

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

12,277

12,522

12,545

12,459

12,369

12,519

12,540

12,555

15

7,662 394.4 395.2 368.6 1,408.6 1,064.9 1,033.6 156.9 85.8

7,796 396.8 416.4 374.6 1,451.8 1,089.9 1,050.8 165.1 86.4

7,820 396.7 411.4 378.6 1,457.2 1,097.7 1,058.2 166.4 87.1

7,792 393.7 401.1 377.2 1,453.3 1,100.8 1,054.7 167.5 86.9

7,699 397.9 410.7 368.1 1,412.8 1,066.6 1,037.0 158.0 86.2

7,792 395.6 413.0 375.2 1,449.5 1,092.9 1,052.5 165.0 86.6

7,810 396.0 414.4 377.4 1,453.5 1,097.4 1,056.4 166.1 87.0

7,828 397.3 416.3 376.5 1,456.6 1,102.8 1,057.7 167.7 87.3

18 1.3 1.9 -0.9 3.1 5.4 1.3 1.6 0.3

358.8 397.6

364.7 401.6

367.8 404.5

364.9 403.0

359.7 398.4

365.3 402.7

366.7 404.4

366.3 403.9

-0.4 -0.5

34.5 381.7 1,633.1 954.8 394.3

33.0 394.0 1,635.4 955.0 391.1

32.4 394.5 1,642.0 959.0 390.4

32.4 393.5 1,641.3 953.9 386.9

34.7 382.4 1,637.0 956.7 395.8

32.9 394.2 1,635.6 953.8 391.7

32.3 394.0 1,638.9 955.4 390.0

32.5 394.3 1,644.6 955.1 388.7

0.2 0.3 5.7 -0.3 -1.3

587.1

594.8

593.6

589.3

590.8

592.2

592.1

592.8

0.7

4,615 1,555.9 113.4 114.9 124.4 367.9 441.4 109.3 810.0 702.7

4,726 1,614.8 111.8 113.2 117.3 369.9 439.8 115.9 824.2 722.5

4,725 1,611.4 111.8 114.5 116.0 371.9 439.1 113.8 828.1 724.7

4,667 1,590.8 111.1 113.0 114.9 368.2 431.6 110.2 820.8 718.3

4,670 1,579.9 113.4 116.4 125.5 368.2 443.8 113.3 814.0 709.8

4,727 1,616.5 111.7 112.6 115.9 370.2 437.9 115.2 827.3 724.1

4,730 1,617.6 111.6 114.1 115.4 371.0 435.9 115.1 827.2 725.0

4,727 1,617.6 111.3 114.1 115.7 368.8 434.2 114.6 825.7 725.3

-3 0.0 -0.3 0.0 0.3 -2.2 -1.7 -0.5 -1.5 0.3

275.0

296.7

294.1

288.4

286.1

295.6

297.4

299.8

2.4

Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . .

101,849

105,628

105,669

103,448

103,495

104,874

104,985

105,124

139

Trade, transportation, and utilities. . . . . . . . . . . . . . . .

27,305

28,171

28,359

27,497

27,450

27,602

27,599

27,633

34

Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . .

See footnotes at end of table.

5,830.6 2,923.4 2,021.6

5,943.6 2,988.5 2,060.0

5,952.3 2,998.4 2,058.3

5,905.5 2,978.7 2,034.2

5,879.4 2,943.0 2,044.5

5,933.3 2,987.9 2,052.3

5,943.4 2,994.4 2,057.4

5,953.2 2,998.9 2,056.7

9.8 4.5 -0.7

ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Not seasonally adjusted Industry

Jan. 2017

Nov. 2017

Dec. 2017p

Seasonally adjusted Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Change from: Dec.2017 Jan.2018p

Wholesale trade - Continued Electronic markets and agents and brokers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

885.6

895.1

895.6

892.6

891.9

893.1

891.6

897.6

6.0

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. . . . . . . . . . . . . . . . . . . . . . . . . . .

15,848.1 1,978.7 1,284.0 142.4 552.3 482.8 528.5

16,344.1 2,019.4 1,303.7 151.1 564.6 497.0 512.2

16,384.1 2,011.1 1,300.9 148.4 561.8 503.8 513.5

15,809.7 2,001.7 1,297.0 146.9 557.8 488.1 507.6

15,912.8 2,000.3 1,290.6 154.2 555.6 476.5 513.8

15,887.0 2,018.5 1,301.6 156.1 560.8 479.8 490.2

15,861.4 2,020.5 1,303.1 156.7 560.8 480.7 494.1

15,876.8 2,023.4 1,303.9 158.4 561.0 481.3 493.6

15.4 2.9 0.8 1.7 0.2 0.6 -0.5

1,205.1 3,080.8 1,078.6 915.2 1,402.7

1,266.7 3,118.7 1,081.2 938.4 1,478.8

1,260.7 3,125.5 1,089.5 929.0 1,481.2

1,237.5 3,085.2 1,068.2 920.1 1,372.1

1,267.3 3,097.4 1,074.1 928.7 1,390.7

1,293.9 3,097.5 1,066.0 934.9 1,353.4

1,296.5 3,100.3 1,066.6 931.9 1,343.5

1,299.9 3,100.2 1,063.7 933.3 1,358.6

3.4 -0.1 -2.9 1.4 15.1

621.1 3,190.8 1,226.6

671.4 3,325.0 1,288.8

674.1 3,352.3 1,333.0

598.2 3,151.2 1,209.6

610.1 3,167.4 1,203.0

607.9 3,149.0 1,186.2

598.2 3,131.3 1,186.3

592.0 3,129.0 1,186.6

-6.2 -2.3 0.3

1,964.2 806.3 557.5

2,036.2 833.4 601.9

2,019.3 835.8 607.6

1,941.6 800.0 579.8

1,964.4 828.7 557.8

1,962.8 819.7 576.2

1,945.1 820.9 576.9

1,942.4 821.4 580.4

-2.7 0.5 3.5

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. . . . . . . . . . . . . . . . . . .

5,071.0 481.5 214.9 62.8 1,418.8

5,329.9 497.6 212.6 64.7 1,467.3

5,466.8 498.4 211.8 64.5 1,458.5

5,230.6 494.6 211.8 62.5 1,432.8

5,101.5 485.7 217.3 64.9 1,446.2

5,227.5 499.3 212.4 65.4 1,456.7

5,239.1 499.8 212.5 65.5 1,457.8

5,250.2 499.2 213.8 64.7 1,460.0

11.1 -0.6 1.3 -0.8 2.2

495.5 48.9 24.7 674.0 679.4 970.5

511.3 47.9 30.8 698.2 758.3 1,041.2

511.2 47.8 30.0 703.9 900.8 1,039.9

502.9 47.2 24.0 697.6 746.0 1,011.2

484.4 49.0 34.8 679.8 662.3 977.1

494.7 48.0 35.2 696.9 705.3 1,013.6

495.6 47.6 35.5 700.0 713.6 1,011.2

493.1 47.3 34.3 702.8 718.5 1,016.5

-2.5 -0.3 -1.2 2.8 4.9 5.3

Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

554.8

553.3

555.3

550.9

556.7

554.3

554.6

553.2

-1.4

Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Publishing industries, except Internet. . . . . . . . . . Motion picture and sound recording industries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Broadcasting, except Internet. . . . . . . . . . . . . . . . . . Telecommunications. . . . . . . . . . . . . . . . . . . . . . . . . . . Data processing, hosting and related services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Other information services. . . . . . . . . . . . . . . . . . . . .

2,778 727.7

2,799 721.1

2,784 720.7

2,738 713.4

2,810 730.8

2,780 718.7

2,779 717.4

2,773 716.2

-6 -1.2

404.5 268.7 792.7

433.2 265.1 775.7

414.0 264.6 777.8

388.8 261.3 771.8

430.1 269.5 792.2

418.1 263.7 774.7

419.3 262.9 774.6

417.0 262.1 771.5

-2.3 -0.8 -3.1

310.9 273.5

320.5 283.8

320.0 286.5

318.7 283.8

312.2 274.8

320.6 284.3

319.3 285.8

320.4 285.3

1.1 -0.5

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. . . . . . . . . . . . . . . . .

8,345 6,218.0 19.1

8,499 6,289.4 18.9

8,518 6,303.2 19.0

8,464 6,280.2 18.9

8,397 6,228.3 18.9

8,503 6,286.3 18.8

8,509 6,289.7 18.9

8,518 6,291.8 18.9

9 2.1 0.0

2,638.2 1,710.8 1,322.2 622.8 304.6

2,654.0 1,712.6 1,319.9 628.0 313.4

2,661.3 1,714.4 1,321.0 629.9 317.0

2,653.9 1,714.5 1,320.1 624.4 315.0

2,641.0 1,712.0 1,321.0 622.5 306.5

2,655.4 1,716.5 1,323.2 625.9 313.0

2,656.4 1,715.8 1,322.4 624.9 315.8

2,656.7 1,715.6 1,319.5 624.3 316.8

0.3 -0.2 -2.9 -0.6 1.0

928.1 2,632.6 2,127.4 1,564.2 539.5

949.2 2,667.3 2,209.4 1,611.5 573.5

952.7 2,670.2 2,214.5 1,617.2 572.9

949.9 2,657.5 2,184.2 1,593.1 566.8

932.2 2,636.2 2,169.1 1,586.8 558.2

949.0 2,663.1 2,216.6 1,612.3 580.1

950.6 2,663.8 2,219.2 1,612.4 582.6

954.1 2,662.1 2,225.7 1,615.0 586.1

3.5 -1.7 6.5 2.6 3.5

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

Jan. 2017

Nov. 2017

Dec. 2017p

Seasonally adjusted Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Change from: Dec.2017 Jan.2018p

Real estate and rental and leasing Continued Lessors of nonfinancial intangible assets. . . .

23.7

24.4

24.4

24.3

24.1

24.2

24.2

24.6

0.4

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

19,875 8,915.3 1,125.5 1,057.5 1,395.8 138.3

20,864 9,090.7 1,138.5 966.4 1,452.0 141.0

20,770 9,107.5 1,143.3 980.4 1,453.2 140.6

20,313 9,080.9 1,127.7 1,039.2 1,437.6 136.1

20,246 8,912.6 1,132.5 980.6 1,417.0 140.3

20,646 9,068.2 1,135.8 987.3 1,451.2 139.2

20,671 9,077.6 1,136.6 981.7 1,455.0 138.6

20,694 9,085.1 1,135.5 971.6 1,458.9 138.2

23 7.5 -1.1 -10.1 3.9 -0.4

2,021.6

2,073.4

2,065.5

2,069.1

2,022.5

2,060.4

2,064.3

2,068.8

4.5

1,351.1

1,436.0

1,438.6

1,404.9

1,373.2

1,419.9

1,422.5

1,427.1

4.6

656.0 486.2 683.3 2,269.4 8,690.3 8,285.9 494.6 145.9 3,401.7 2,768.6 912.2

662.8 491.4 729.2 2,305.4 9,468.0 9,052.5 520.5 155.1 3,829.7 3,144.8 930.6

661.2 493.2 731.5 2,312.7 9,350.2 8,933.4 518.5 155.3 3,803.7 3,116.1 931.3

661.3 483.5 721.5 2,301.0 8,930.6 8,517.1 514.8 151.2 3,522.7 2,864.0 915.8

660.1 491.8 694.5 2,276.6 9,056.5 8,645.5 497.7 146.7 3,558.6 2,901.8 911.6

662.8 488.8 722.7 2,304.7 9,272.8 8,856.2 517.5 154.2 3,671.1 2,999.1 907.9

661.8 490.7 726.6 2,308.0 9,285.6 8,867.2 518.0 155.5 3,674.9 2,997.6 908.1

665.1 489.3 730.6 2,308.2 9,300.2 8,880.8 518.7 152.8 3,680.6 2,999.4 914.0

3.3 -1.4 4.0 0.2 14.6 13.6 0.7 -2.7 5.7 1.8 5.9

213.9 898.5 1,907.0 312.1

214.6 930.3 2,144.2 327.5

213.8 933.7 2,051.7 325.4

211.8 917.3 1,958.8 324.7

219.2 909.1 2,085.7 316.9

215.9 922.5 2,136.4 330.6

216.1 926.6 2,136.8 331.3

216.8 928.0 2,139.5 330.4

0.7 1.4 2.7 -0.9

404.4

415.5

416.8

413.5

411.0

416.6

418.4

419.4

1.0

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. . . . . . . . . . . . . . . . . . .

22,766 3,494.3 19,271.6 15,540.4 7,171.9 2,551.4 926.5 869.8 874.6 268.0 1,385.2

23,609 3,894.7 19,713.8 15,881.5 7,404.5 2,619.6 939.5 906.9 914.3 273.6 1,440.0

23,570 3,816.3 19,753.3 15,921.3 7,417.7 2,626.0 943.4 908.6 916.5 274.4 1,439.2

23,227 3,577.7 19,649.6 15,834.0 7,362.0 2,599.8 934.2 906.9 917.4 272.6 1,423.9

22,957 3,624.8 19,331.8 15,593.5 7,201.8 2,558.5 928.8 876.3 877.2 268.4 1,392.9

23,350 3,696.9 19,653.5 15,835.0 7,372.7 2,610.3 936.5 901.8 913.2 272.6 1,429.0

23,389 3,700.2 19,689.1 15,867.8 7,387.2 2,609.8 942.4 906.1 914.4 272.8 1,432.6

23,427 3,711.9 19,714.9 15,888.4 7,394.9 2,608.7 937.3 912.3 919.5 273.2 1,433.3

38 11.7 25.8 20.6 7.7 -1.1 -5.1 6.2 5.1 0.4 0.7

296.4 5,042.9 3,325.6 1,632.8 621.2

310.6 5,118.9 3,358.1 1,626.0 632.7

309.6 5,136.5 3,367.1 1,625.1 636.1

307.2 5,130.7 3,341.3 1,611.7 631.7

299.8 5,052.5 3,339.2 1,636.7 624.2

309.2 5,110.2 3,352.1 1,621.9 632.6

309.2 5,126.1 3,354.5 1,618.3 635.3

310.6 5,138.8 3,354.7 1,616.2 634.4

1.4 12.7 0.2 -2.1 -0.9

907.2 164.4 3,731.2 2,300.0 167.9 335.5 927.8

929.3 170.1 3,832.3 2,369.8 169.6 344.2 948.7

934.8 171.1 3,832.0 2,367.9 172.0 343.8 948.3

927.9 170.0 3,815.6 2,360.8 171.5 340.6 942.7

911.7 166.7 3,738.3 2,307.2 167.6 340.3 923.2

927.6 169.9 3,818.5 2,366.5 170.3 343.9 937.7

930.1 170.9 3,821.3 2,366.3 170.5 344.5 940.0

932.3 171.8 3,826.5 2,370.0 171.0 345.5 940.1

2.2 0.9 5.2 3.7 0.5 1.0 0.1

Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . Arts, entertainment, and recreation. . . . . . . . . . . . Performing arts and spectator sports. . . . . . . . Museums, historical sites, and similar institutions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

15,124 2,029.0 420.0

15,877 2,172.2 477.4

15,864 2,174.5 476.0

15,454 2,077.5 429.2

15,906 2,300.5 478.9

16,176 2,343.7 494.0

16,213 2,352.5 496.8

16,248 2,354.8 492.6

35 2.3 -4.2

146.9

163.7

163.1

155.2

162.0

169.8

171.5

171.5

0.0

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Change from: Dec.2017 Jan.2018p

Amusements, gambling, and recreation. . . . . Accommodation and food services. . . . . . . . . . . . Accommodation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Food services and drinking places. . . . . . . . . .

1,462.1 13,094.7 1,882.6 11,212.1

1,531.1 13,704.9 1,955.2 11,749.7

1,535.4 13,689.5 1,948.8 11,740.7

1,493.1 13,376.9 1,913.8 11,463.1

1,659.6 13,605.7 1,983.5 11,622.2

1,679.9 13,832.6 2,013.3 11,819.3

1,684.2 13,860.6 2,014.1 11,846.5

1,690.7 13,893.1 2,015.5 11,877.6

6.5 32.5 1.4 31.1

Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Repair and maintenance. . . . . . . . . . . . . . . . . . . . . . . Personal and laundry services. . . . . . . . . . . . . . . . . Membership associations and organizations. . .

5,656 1,283.7 1,440.9 2,931.1

5,809 1,312.2 1,507.6 2,989.1

5,804 1,310.4 1,510.0 2,983.8

5,755 1,299.4 1,493.1 2,962.1

5,729 1,299.3 1,462.6 2,967.4

5,817 1,316.9 1,505.6 2,994.7

5,825 1,317.6 1,510.0 2,997.7

5,831 1,315.7 1,515.8 2,999.4

6 -1.9 5.8 1.7

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. . . . . . . . . .

22,171 2,800.0 2,188.6 611.1 5,059.0 2,384.7 2,674.0 14,312.0 8,013.3 6,298.9

22,813 2,796.0 2,182.2 613.3 5,316.0 2,655.4 2,660.9 14,701.0 8,283.7 6,416.9

22,673 2,810.0 2,180.1 630.2 5,238.0 2,581.3 2,656.2 14,625.0 8,239.8 6,385.3

22,181 2,792.0 2,177.7 614.0 5,013.0 2,372.1 2,641.3 14,376.0 8,032.5 6,343.8

22,313 2,814.0 2,198.1 616.0 5,153.0 2,467.9 2,684.9 14,346.0 7,910.0 6,436.4

22,330 2,803.0 2,186.8 616.2 5,129.0 2,462.2 2,667.1 14,398.0 7,934.0 6,464.4

22,324 2,797.0 2,182.4 614.5 5,125.0 2,459.9 2,664.6 14,402.0 7,933.4 6,468.6

22,328 2,802.0 2,185.2 617.1 5,114.0 2,459.7 2,654.7 14,412.0 7,933.1 6,478.4

4 5.0 2.8 2.6 -11.0 -0.2 -9.9 10.0 -0.3 9.8

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 Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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.................................................................... .

34.4 40.3 43.9 39.1 40.8 41.3 40.0 33.2 34.3 38.9 30.9 38.7 42.5 36.4 37.3 36.1 32.9 26.0 31.8

34.5 40.5 45.5 39.1 40.9 41.4 40.3 33.3 34.7 39.2 31.3 38.9 42.1 36.0 37.6 36.1 32.9 26.1 31.7

34.5 40.5 45.7 39.4 40.8 41.3 39.9 33.3 34.5 39.3 31.1 38.6 41.9 36.2 37.6 36.0 33.0 26.2 31.8

34.3 40.2 45.2 39.0 40.6 41.0 39.9 33.2 34.2 39.0 30.6 38.6 41.9 35.7 37.6 36.0 33.0 26.0 31.6

AVERAGE OVERTIME HOURS Manufacturing.......................................................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods.................................................................. .

3.3 3.3 3.2

3.5 3.4 3.6

3.5 3.5 3.4

3.5 3.5 3.5

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

$25.99 27.27 32.24 28.51 26.33 27.59 24.19 25.70 22.59 29.94 18.01 23.54 38.99 37.56 32.62 31.23 25.99 15.23 23.52

$26.54 27.77 32.23 29.20 26.72 28.02 24.53 26.25 22.92 30.19 18.25 24.12 39.55 38.57 33.72 31.87 26.58 15.63 24.17

$26.65 27.86 32.24 29.30 26.80 28.06 24.65 26.37 23.04 30.30 18.34 24.24 39.55 38.73 33.94 32.00 26.67 15.70 24.22

$26.74 27.89 32.35 29.33 26.83 28.09 24.68 26.47 23.10 30.21 18.41 24.29 39.73 38.94 33.99 32.18 26.78 15.73 24.24

$894.06 1,098.98 1,415.34 1,114.74 1,074.26 1,139.47 967.60 853.24 774.84 1,164.67 556.51 911.00 1,657.08 1,367.18 1,216.73 1,127.40 855.07 395.98 747.94

$915.63 1,124.69 1,466.47 1,141.72 1,092.85 1,160.03 988.56 874.13 795.32 1,183.45 571.23 938.27 1,665.06 1,388.52 1,267.87 1,150.51 874.48 407.94 766.19

$919.43 1,128.33 1,473.37 1,154.42 1,093.44 1,158.88 983.54 878.12 794.88 1,190.79 570.37 935.66 1,657.15 1,402.03 1,276.14 1,152.00 880.11 411.34 770.20

$917.18 1,121.18 1,462.22 1,143.87 1,089.30 1,151.69 984.73 878.80 790.02 1,178.19 563.35 937.59 1,664.69 1,390.16 1,278.02 1,158.48 883.74 408.98 765.98

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Percent change from: Dec. 2017 Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

106.5 91.3 89.1 92.6 90.8 89.5 93.2 110.5 102.4 99.8 99.9 113.0 102.4 93.4 102.6 115.0 123.3 118.0 105.0

108.3 93.4 99.7 94.8 92.1 90.8 95.1 112.4 104.2 101.5 101.0 116.4 101.0 91.4 104.7 117.2 125.4 120.5 106.3

108.5 93.7 100.2 95.9 92.0 90.8 94.2 112.5 103.6 101.9 100.2 115.7 100.5 91.9 104.8 117.0 126.0 121.2 106.8

108.0 93.2 100.0 95.4 91.7 90.4 94.1 112.3 102.8 101.3 98.7 116.0 100.3 90.4 104.9 117.2 126.2 120.5 106.2

-0.5 -0.5 -0.2 -0.5 -0.3 -0.4 -0.1 -0.2 -0.8 -0.6 -1.5 0.3 -0.2 -1.6 0.1 0.2 0.2 -0.6 -0.6

1

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Percent change from: Dec. 2017 Jan. 2018p

132.4 112.5 115.3 114.8 111.2 109.7 114.4 138.1 124.5 124.7 118.9 135.0 131.9 124.9 130.5 145.4 154.2 145.0 135.4

137.5 117.3 129.0 120.2 114.5 113.0 118.4 143.3 128.5 127.9 121.9 142.5 131.9 125.5 137.7 151.4 160.4 151.9 140.8

138.2 118.0 129.7 122.1 114.7 113.2 117.8 144.1 128.4 128.9 121.5 142.4 131.4 126.7 138.7 151.7 161.7 153.5 141.8

138.1 117.5 129.9 121.6 114.4 112.7 117.9 144.4 127.8 127.7 120.1 143.0 131.6 125.4 139.1 152.8 162.6 153.0 141.1

-0.1 -0.4 0.2 -0.4 -0.3 -0.4 0.1 0.2 -0.5 -0.9 -1.2 0.4 0.2 -1.0 0.3 0.7 0.6 -0.3 -0.5

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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............................................ .

72,213 59,419 4,355 92 863 3,400 1,804 1,596 55,064 11,106 1,737.0 7,989.4 1,250.6 128.9 1,122 4,766 9,099 17,696 8,261 3,014 12,794

73,031 60,207 4,452 92 897 3,463 1,828 1,635 55,755 11,056 1,752.2 7,892.4 1,283.6 127.6 1,096 4,800 9,313 17,964 8,447 3,079 12,824

73,116 60,286 4,459 91 901 3,467 1,831 1,636 55,827 11,052 1,755.9 7,884.1 1,284.8 127.3 1,095 4,798 9,319 17,989 8,486 3,088 12,830

73,238 60,404 4,470 93 908 3,469 1,832 1,637 55,934 11,060 1,760.9 7,887.1 1,285.6 126.4 1,091 4,804 9,336 18,033 8,516 3,094 12,834

49.6 48.2 21.9 14.2 12.6 27.5 23.4 34.2 53.2 40.5 29.5 50.2 24.5 23.2 39.9 56.8 44.9 77.1 51.9 52.6 57.3

49.5 48.1 22.0 13.2 12.8 27.7 23.5 34.6 53.2 40.1 29.5 49.7 24.6 23.0 39.4 56.5 45.1 76.9 52.2 52.9 57.4

49.5 48.1 22.0 13.0 12.8 27.6 23.4 34.6 53.2 40.0 29.5 49.7 24.5 23.0 39.4 56.4 45.1 76.9 52.3 53.0 57.5

49.5 48.1 22.0 13.2 12.8 27.6 23.4 34.6 53.2 40.0 29.6 49.7 24.5 22.8 39.3 56.4 45.1 77.0 52.4 53.1 57.5

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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....................................................................... .

101,690 14,329 461 5,192 8,676 5,296 3,380 87,361 23,080 4,702.0 13,503.3 4,427.7 447.3 2,269 6,533 16,569 20,154 14,012 4,744

103,119 14,559 511 5,255 8,793 5,348 3,445 88,560 23,307 4,757.3 13,550.0 4,553.7 445.5 2,235 6,609 16,840 20,511 14,250 4,808

103,239 14,615 517 5,289 8,809 5,361 3,448 88,624 23,308 4,767.1 13,527.7 4,567.2 446.4 2,236 6,611 16,840 20,538 14,277 4,814

103,403 14,677 521 5,324 8,832 5,386 3,446 88,726 23,341 4,774.4 13,539.6 4,581.6 445.3 2,231 6,612 16,845 20,577 14,301 4,819

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 Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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 41.2 45.5 39.5 41.9 42.3 41.3 32.4 33.6 38.8 29.9 38.6 43.2 35.9 36.9 35.4 32.2 24.8 30.8

33.7 41.3 46.6 39.6 41.9 42.3 41.4 32.5 34.0 39.2 30.4 38.4 42.5 35.6 36.9 35.4 32.3 24.9 30.7

33.7 41.3 46.6 40.0 41.7 42.1 41.1 32.4 33.9 39.1 30.3 38.3 42.3 35.8 36.9 35.3 32.2 25.0 30.8

33.6 41.1 46.7 39.6 41.7 42.1 41.1 32.4 33.8 38.9 30.3 38.2 42.6 35.4 36.9 35.1 32.2 24.9 30.6

AVERAGE OVERTIME HOURS Manufacturing.......................................................................... . Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nondurable goods.................................................................. .

4.2 4.3 4.0

4.5 4.5 4.5

4.4 4.5 4.3

4.5 4.6 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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

$21.81 22.86 27.39 26.36 20.63 21.63 19.02 21.59 19.17 24.47 15.22 20.94 36.10 30.37 26.32 25.75 22.81 13.15 19.74

$22.23 23.41 27.47 26.99 21.12 22.11 19.56 21.99 19.50 24.82 15.45 21.56 36.10 31.03 26.65 26.22 23.23 13.52 20.41

$22.31 23.54 27.82 27.08 21.22 22.19 19.67 22.05 19.54 24.84 15.50 21.56 36.15 30.95 26.84 26.29 23.30 13.61 20.44

$22.34 23.60 27.89 27.12 21.31 22.28 19.77 22.08 19.55 24.87 15.47 21.65 36.46 31.00 26.75 26.35 23.41 13.61 20.44

$732.82 941.83 1,246.25 1,041.22 864.40 914.95 785.53 699.52 644.11 949.44 455.08 808.28 1,559.52 1,090.28 971.21 911.55 734.48 326.12 607.99

$749.15 966.83 1,280.10 1,068.80 884.93 935.25 809.78 714.68 663.00 972.94 469.68 827.90 1,534.25 1,104.67 983.39 928.19 750.33 336.65 626.59

$751.85 972.20 1,296.41 1,083.20 884.87 934.20 808.44 714.42 662.41 971.24 469.65 825.75 1,529.15 1,108.01 990.40 928.04 750.26 340.25 629.55

$750.62 969.96 1,302.46 1,073.95 888.63 937.99 812.55 715.39 660.79 967.44 468.74 827.03 1,553.20 1,097.40 987.08 924.89 753.80 338.89 625.46

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

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Percent change from: Dec. 2017 Jan. 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. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

113.8 90.2 111.5 102.7 83.4 84.2 82.2 120.5 108.1 107.4 102.2 128.7 98.8 93.0 113.5 131.5 138.4 127.3 102.5

115.8 91.9 126.5 104.2 84.6 85.0 84.0 122.6 110.5 109.8 104.3 131.6 96.8 90.8 114.8 133.6 141.3 130.0 103.5

115.9 92.2 128.0 105.9 84.3 84.8 83.5 122.3 110.2 109.8 103.8 131.7 96.6 91.4 114.8 133.2 141.0 130.7 104.0

115.8 92.2 129.3 105.6 84.5 85.2 83.4 122.4 110.0 109.4 103.8 131.7 97.0 90.1 114.9 132.5 141.3 130.4 103.4

-0.1 0.0 1.0 -0.3 0.2 0.5 -0.1 0.1 -0.2 -0.4 0.0 0.0 0.4 -1.4 0.1 -0.5 0.2 -0.2 -0.6

1

Jan. 2017

Nov. 2017

Dec. 2017p

Jan. 2018p

Percent change from: Dec. 2017 Jan. 2018p

165.9 126.3 177.6 146.2 112.6 113.7 110.5 178.5 147.8 154.9 133.3 170.9 148.9 139.8 183.8 201.4 208.3 190.1 147.4

172.0 131.7 202.2 151.9 116.8 117.4 116.2 184.8 153.7 160.6 138.1 180.0 145.9 139.5 188.2 208.5 216.6 199.6 153.9

172.8 132.9 207.1 154.9 117.0 117.5 116.1 184.9 153.5 160.6 137.8 180.1 145.7 140.0 189.6 208.4 216.8 202.1 154.9

172.8 133.2 209.7 154.6 117.8 118.5 116.6 185.4 153.4 160.2 137.7 180.9 147.6 138.3 189.0 207.8 218.3 201.6 154.0

0.0 0.2 1.3 -0.2 0.7 0.9 0.4 0.3 -0.1 -0.2 -0.1 0.4 1.3 -1.2 -0.3 -0.3 0.7 -0.2 -0.6

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.

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The Employment Situation - Bureau of Labor Statistics

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