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Transmission of material in this news release is embargoed until
8:30 a.m. (EDT) Friday, June 1, 2018

USDL-18-0916

Technical information:
Household data:
(202) 691-6378 • cpsinfo@bls.gov • www.bls.gov/cps
Establishment data: (202) 691-6555 • cesinfo@bls.gov • www.bls.gov/ces
Media contact:

(202) 691-5902 • PressOffice@bls.gov

THE EMPLOYMENT SITUATION — MAY 2018
Total nonfarm payroll employment increased by 223,000 in May, and the unemployment rate edged
down to 3.8 percent, the U.S. Bureau of Labor Statistics reported today. Employment continued to trend
up in several industries, including retail trade, health care, and construction.
Chart 1. Unemployment rate, seasonally adjusted,
May 2016 – May 2018

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

Percent

Thousands

6.0

400
350

5.5

300
250

5.0

200

4.5

150

4.0

100
50

3.5

0
-50

3.0
May-16

Aug-16

Nov-16

Feb-17

May-17

Aug-17

Nov-17

Feb-18

May-18

May-16 Aug-16 Nov-16 Feb-17 May-17 Aug-17 Nov-17 Feb-18 May-18

Household Survey Data
The unemployment rate edged down to 3.8 percent in May, and the number of unemployed persons
declined to 6.1 million. Over the year, the unemployment rate was down by 0.5 percentage point, and
the number of unemployed persons declined by 772,000. (See table A-1.)
Among the major worker groups, the unemployment rates for adult men (3.5 percent), Blacks (5.9
percent), and Asians (2.1 percent) decreased in May. The jobless rates for adult women (3.3 percent),
teenagers (12.8 percent), Whites (3.5 percent), and Hispanics (4.9 percent) changed little over the
month. (See tables A-1, A-2, and A-3.)

The number of long-term unemployed (those jobless for 27 weeks or more) was little changed at 1.2
million in May and accounted for 19.4 percent of the unemployed. Over the past 12 months, the number
of long-term unemployed has declined by 476,000. (See table A-12.)
Both the labor force participation rate, at 62.7 percent, and the employment-population ratio, at 60.4
percent, changed little in May. (See table A-1.)
The number of persons employed part time for economic reasons (sometimes referred to as
involuntary part-time workers) was essentially unchanged at 4.9 million in May. These individuals, who
would have preferred full-time employment, were working part time because their hours had been
reduced or they were unable to find full-time jobs. (See table A-8.)
The number of persons marginally attached to the labor force, at 1.5 million in May, was little
different 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 378,000 discouraged workers in May, 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 1.1 million persons
marginally attached to the labor force in May 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 increased by 223,000 in May, compared with an average monthly
gain of 191,000 over the prior 12 months. Over the month, employment continued to trend up in several
industries, including retail trade, health care, and construction. (See table B-1.)
In May, retail trade added 31,000 jobs, with gains occurring in general merchandise stores (+13,000)
and in building material and garden supply stores (+6,000). Over the year, retail trade has added 125,000
jobs.
Employment in health care rose by 29,000 in May, about in line with the average monthly gain over the
prior 12 months. Ambulatory health care services added 18,000 jobs over the month, and employment in
hospitals continued to trend up (+6,000).
Employment in construction continued on an upward trend in May (+25,000) and has risen by 286,000
over the past 12 months. Within the industry, nonresidential specialty trade contractors added 15,000
jobs over the month.
Employment in professional and technical services continued to trend up in May (+23,000) and has
risen by 206,000 over the year.
Transportation and warehousing added 19,000 jobs over the month and 156,000 over the year. In
May, job gains occurred in warehousing and storage (+7,000) and in couriers and messengers (+5,000).
-2-

Manufacturing employment continued to expand over the month (+18,000). Durable goods accounted
for most of the change, including an increase of 6,000 jobs in machinery. Manufacturing employment
has risen by 259,000 over the year, with about three-fourths of the growth in durable goods industries.
Mining added 6,000 jobs in May. Since a recent low point in October 2016, employment in mining has
grown by 91,000, with support activities for mining accounting for nearly all of the increase.
In May, employment changed little in other major industries, including wholesale trade, information,
financial activities, leisure and hospitality, and government.
The average workweek for all employees on private nonfarm payrolls was unchanged at 34.5 hours in
May. In manufacturing, the workweek decreased by 0.2 hour to 40.8 hours, and overtime edged down
by 0.2 hour to 3.5 hours. The average workweek for production and nonsupervisory employees on
private nonfarm payrolls remained at 33.8 hours. (See tables B-2 and B-7.)
In May, average hourly earnings for all employees on private nonfarm payrolls rose by 8 cents to
$26.92. Over the year, average hourly earnings have increased by 71 cents, or 2.7 percent. Average
hourly earnings of private-sector production and nonsupervisory employees increased by 7 cents to
$22.59 in May. (See tables B-3 and B-8.)
The change in total nonfarm payroll employment for March was revised up from +135,000 to +155,000,
and the change for April was revised down from +164,000 to +159,000. With these revisions,
employment gains in March and April combined were 15,000 more than previously reported. (Monthly
revisions result from additional reports received from businesses and government agencies since the last
published estimates and from the recalculation of seasonal factors.) After revisions, job gains have
averaged 179,000 over the last 3 months.
_____________
The Employment Situation for June is scheduled to be released on Friday, July 6, 2018, at 8:30
a.m. (EDT).

-3-

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

May
2017

Mar.
2018

Apr.
2018

Change from:
Apr. 2018May 2018

May
2018

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

254,767
159,729
62.7
152,892
60.0
6,837
4.3
95,038

257,097
161,763
62.9
155,178
60.4
6,585
4.1
95,335

257,272
161,527
62.8
155,181
60.3
6,346
3.9
95,745

257,454
161,539
62.7
155,474
60.4
6,065
3.8
95,915

182
12
-0.1
293
0.1
-281
-0.1
170

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

4.3
3.8
4.0
14.1
3.7
7.6
3.6
5.2

4.1
3.7
3.7
13.5
3.6
6.9
3.1
5.1

3.9
3.7
3.5
12.9
3.6
6.6
2.8
4.8

3.8
3.5
3.3
12.8
3.5
5.9
2.1
4.9

-0.1
-0.2
-0.2
-0.1
-0.1
-0.7
-0.7
0.1

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

3.6
6.2
4.7
4.0
2.3

3.4
5.5
4.3
3.6
2.2

3.3
5.9
4.3
3.5
2.1

3.0
5.4
3.9
3.2
2.0

-0.3
-0.5
-0.4
-0.3
-0.1

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

3,333
798
2,100
658

3,146
864
1,967
625

2,958
815
2,009
623

2,854
852
1,882
571

-104
37
-127
-52

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

2,123
1,958
1,123
1,665

2,287
2,009
880
1,322

2,115
2,017
1,036
1,293

2,034
1,945
977
1,189

-81
-72
-59
-104

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

5,268
3,058
1,764
21,018

5,019
3,005
1,625
21,399

4,985
2,994
1,586
21,258

4,948
3,004
1,480
21,095

-37
10
-106
-163

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

1,475
355

1,454
450

1,362
408

1,455
378

–
–

- Over-the-month changes are not displayed for not seasonally adjusted data.
NOTE: Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Detail for the seasonally adjusted data shown in this table will
not necessarily add to totals because of the independent seasonal adjustment of the various series. Updated population controls are introduced
annually with the release of January data.

ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
May
2017

Mar.
2018

Apr.
2018p

May
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

155
165
15
4
7
4
5
-1.2
-1
150
-0.4
-10.0
20.4
-1.4
-4
11
57
17.2
36
24.8
26
16
-10

155
153
26
8
-3
21
19
-0.2
2
127
9.8
11.4
19.7
-0.5
6
5
41
-3.0
29
34.5
2
3
2

159
162
53
7
21
25
19
0.3
6
109
-11.4
8.8
1.6
1.4
4
3
43
9.2
33
29.1
12
14
-3

223
218
47
4
25
18
15
-4.4
3
171
4.2
31.1
18.7
-1.1
6
8
31
-7.8
39
31.7
21
13
5

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

134
136

218
221

213
212

179
178

Category

WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES
AS A PERCENT OF ALL EMPLOYEES2
Total nonfarm women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Total private women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Total private production and nonsupervisory employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
HOURS AND EARNINGS
ALL EMPLOYEES
Total private
Average weekly hours. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Average hourly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Average weekly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Index of aggregate weekly hours (2007=100)3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Index of aggregate weekly payrolls (2007=100)4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
DIFFUSION INDEX
(Over 1-month span)5
Total private (258 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Manufacturing (76 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1

49.5
48.1
82.4

49.6
48.2
82.4

49.6
48.2
82.4

49.6
48.2
82.4

34.4
$26.21
$901.62
107.1
0.2
134.1
0.2

34.5
$26.80
$924.60
109.1
0.2
139.7
0.3

34.5
$26.84
$925.98
109.2
0.1
140.1
0.3

34.5
$26.92
$928.74
109.4
0.2
140.8
0.5

56.8
44.7

65.3
64.5

64.0
61.8

67.6
63.8

Includes other industries, not shown separately.
Data relate to production employees in mining and logging and manufacturing, construction employees in construction, and nonsupervisory employees in the
service-providing industries.
3
The indexes of aggregate weekly hours are calculated by dividing the current month’s estimates of aggregate hours by the corresponding annual average aggregate
hours.
4
The indexes of aggregate weekly payrolls are calculated by dividing the current month’s estimates of aggregate weekly payrolls by the corresponding annual average
aggregate weekly payrolls.
5
Figures are the percent of industries with employment increasing plus one-half of the industries with unchanged employment, where 50 percent indicates an equal
balance between industries with increasing and decreasing employment.
p Preliminary
NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors.
2

Frequently Asked Questions about Employment and Unemployment Estimates
1. Why are there two monthly measures of employment?
The household survey and establishment survey both produce sample-based estimates of
employment, and both have strengths and limitations. The establishment survey employment series
has a smaller margin of error on the measurement of month-to-month change than the household
survey because of its much larger sample size. An over-the-month employment change of about
100,000 is statistically significant in the establishment survey, while the threshold for a statistically
significant change in the household survey is about 500,000. However, the household survey has a
more expansive scope than the establishment survey because it includes self-employed workers
whose businesses are unincorporated, unpaid family workers, agricultural workers, and private
household workers, who are excluded by the establishment survey. The household survey also
provides estimates of employment for demographic groups. For more information on the differences
between the two surveys, please visit https://www.bls.gov/web/empsit/ces_cps_trends.htm.
2. Are undocumented immigrants counted in the surveys?
It is likely that both surveys include at least some undocumented immigrants. However, neither the
establishment nor the household survey is designed to identify the legal status of workers. Therefore,
it is not possible to determine how many are counted in either survey. The establishment survey does
not collect data on the legal status of workers. The household survey does include questions which
identify the foreign and native born, but it does not include questions about the legal status of the
foreign born. Data on the foreign and native born are published each month in table A-7 of The
Employment Situation news release.
3. Why does the establishment survey have revisions?
The establishment survey revises published estimates to improve its data series by incorporating
additional information that was not available at the time of the initial publication of the estimates.
The establishment survey revises its initial monthly estimates twice, in the immediately succeeding
2 months, to incorporate additional sample receipts from respondents in the survey and recalculated
seasonal adjustment factors. For more information on the monthly revisions, please visit
https://www.bls.gov/ces/cesrevinfo.htm.
On an annual basis, the establishment survey incorporates a benchmark revision that re-anchors
estimates to nearly complete employment counts available from unemployment insurance tax
records. The benchmark helps to control for sampling and modeling errors in the estimates. For more
information on the annual benchmark revision, please visit
https://www.bls.gov/web/empsit/cesbmart.htm.
4. Does the establishment survey sample include small firms?
Yes; about 40 percent of the establishment survey sample is comprised of business establishments
with fewer than 20 employees. The establishment survey sample is designed to maximize the
reliability of the statewide total nonfarm employment estimate; firms from all states, size classes, and
industries are appropriately sampled to achieve that goal.

5. Does the establishment survey account for employment from new businesses?
Yes; monthly establishment survey estimates include an adjustment to account for the net
employment change generated by business births and deaths. The adjustment comes from an
econometric model that forecasts the monthly net jobs impact of business births and deaths based
on the actual past values of the net impact that can be observed with a lag from the Quarterly Census
of Employment and Wages. The establishment survey uses modeling rather than sampling for this
purpose because the survey is not immediately able to bring new businesses into the sample. There
is an unavoidable lag between the birth of a new firm and its appearance on the sampling frame and
availability for selection. BLS adds new businesses to the survey twice a year.
6. Is the count of unemployed persons limited to just those people receiving unemployment
insurance benefits?
No; the estimate of unemployment is based on a monthly sample survey of households. All persons
who are without jobs and are actively seeking and available to work are included among the
unemployed. (People on temporary layoff are included even if they do not actively seek work.) There
is no requirement or question relating to unemployment insurance benefits in the monthly survey.
7. Does the official unemployment rate exclude people who want a job but are not currently
looking for work?
Yes; however, there are separate estimates of persons outside the labor force who want a job,
including those who are not currently looking because they believe no jobs are available (discouraged
workers). In addition, alternative measures of labor underutilization (some of which include
discouraged workers and other groups not officially counted as unemployed) are published each
month in table A-15 of The Employment Situation news release. For more information about these
alternative measures, please visit https://www.bls.gov/cps/lfcharacteristics.htm#altmeasures.
8. How can unusually severe weather affect employment and hours estimates?
In the establishment survey, the reference period is the pay period that includes the 12th of the
month. Unusually severe weather is more likely to have an impact on average weekly hours than
on employment. Average weekly hours are estimated for paid time during the pay period, including
pay for holidays, sick leave, or other time off. The impact of severe weather on hours estimates
typically, but not always, results in a reduction in average weekly hours. For example, some
employees may be off work for part of the pay period and not receive pay for the time missed,
while some workers, such as those dealing with cleanup or repair, may work extra hours.
Typically, it is not possible to precisely quantify the effect of extreme weather on payroll
employment estimates. In order for severe weather conditions to reduce employment estimates,
employees have to be off work without pay for the entire pay period. Employees
who receive pay for any part of the pay period, even 1 hour, are counted in the payroll
employment figures. For more information on how often employees are paid, please visit
https://www.bls.gov/opub/btn/volume-3/how-frequently-do-private-businesses-pay-workers.htm.
In the household survey, the reference period is generally the calendar week that includes the 12th
of the month. Persons who miss the entire week's work for weather-related events are counted as
employed whether or not they are paid for the time off. The household survey collects data on the
number of persons who had a job but were not at work due to bad weather. It also provides a measure
of the number of persons who usually work full time but had reduced hours due to bad weather.
Current and historical data are available on the household survey's most requested statistics page,
please visit https://data.bls.gov/cgi-bin/surveymost?ln.

Technical Note
This news release presents statistics from two major
surveys, the Current Population Survey (CPS; household
survey) and the Current Employment Statistics survey (CES;
establishment survey). The household survey provides
information on the labor force, employment, and
unemployment that appears in the "A" tables, marked
HOUSEHOLD DATA. It is a sample survey of about 60,000
eligible households conducted by the U.S. Census Bureau for
the U.S. Bureau of Labor Statistics (BLS).
The establishment survey provides information on
employment, hours, and earnings of employees on nonfarm
payrolls; the data appear in the "B" tables, marked
ESTABLISHMENT DATA. BLS collects these data each
month from the payroll records of a sample of
nonagricultural business establishments. Each month the
CES program surveys about 149,000 businesses and
government agencies, representing approximately 651,000
individual worksites, in order to provide detailed industry
data on employment, hours, and earnings of workers on
nonfarm payrolls. The active sample includes approximately
one-third of all nonfarm payroll employees.
For both surveys, the data for a given month relate to a
particular week or pay period. In the household survey, the
reference period is generally the calendar week that contains
the 12th day of the month. In the establishment survey, the
reference period is the pay period including the 12th, which
may or may not correspond directly to the calendar week.
Coverage, definitions, and differences between surveys
Household survey. The sample is selected to reflect
the entire civilian noninstitutional population. Based on
responses to a series of questions on work and job search
activities, each person 16 years and over in a sample
household is classified as employed, unemployed, or not in
the labor force.
People are classified as employed if they did any work
at all as paid employees during the reference week; worked
in their own business, profession, or on their own farm; or
worked without pay at least 15 hours in a family business or
farm. People are also counted as employed if they were
temporarily absent from their jobs because of illness, bad
weather, vacation, labor-management disputes, or personal
reasons.
People are classified as unemployed if they meet all of
the following criteria: they had no employment during the
reference week; they were available for work at that time;
and they made specific efforts to find employment sometime
during the 4-week period ending with the reference week.
Persons laid off from a job and expecting recall need not be
looking for work to be counted as unemployed. The
unemployment data derived from the household survey in no
way depend upon the eligibility for or receipt of
unemployment insurance benefits.
The civilian labor force is the sum of employed and
unemployed persons. Those persons not classified as
employed or unemployed are not in the labor force. The

unemployment rate is the number unemployed as a percent
of the labor force. The labor force participation rate is the
labor force as a percent of the population, and
the employment-population ratio is the employed as a
percent of the population. Additional information
about the household survey can be found at
https://www.bls.gov/cps/documentation.htm.
Establishment survey. The sample establishments are
drawn from private nonfarm businesses such as factories,
offices, and stores, as well as from federal, state, and local
government entities. Employees on nonfarm payrolls are
those who received pay for any part of the reference pay
period, including persons on paid leave. Persons are counted
in each job they hold. Hours and earnings data are produced
for the private sector for all employees and for production
and
nonsupervisory employees.
Production and
nonsupervisory employees are defined as production and
related employees in manufacturing and mining and logging,
construction workers in construction, and non-supervisory
employees in private service-providing industries.
Industries are classified on the basis of an
establishment’s principal activity in accordance with the
2017 version of the North American Industry Classification
System. Additional information about the establishment
survey can be found at https://www.bls.gov/ces/.
Differences in employment estimates. The numerous
conceptual and methodological differences between the
household and establishment surveys result in important
distinctions in the employment estimates derived from the
surveys. Among these are:
•

The household survey includes agricultural
workers, self-employed workers whose businesses
are unincorporated, unpaid family workers, and
private household workers among the employed.
These groups are excluded from the establishment
survey.

•

The household survey includes people on unpaid
leave among the employed. The establishment
survey does not.

•

The household survey is limited to workers 16 years
of age and older. The establishment survey is not
limited by age.

•

The household survey has no duplication of
individuals, because individuals are counted only
once, even if they hold more than one job. In the
establishment survey, employees working at more
than one job and thus appearing on more than one
payroll are counted separately for each appearance.

Seasonal adjustment
Over the course of a year, the size of the nation's labor
force and the levels of employment and unemployment
undergo regularly occurring fluctuations. These events may
result from seasonal changes in weather, major holidays, and
the opening and closing of schools. The effect of such
seasonal variation can be very large.
Because these seasonal events follow a more or less
regular pattern each year, their influence on the level of a
series can be tempered by adjusting for regular seasonal
variation.
These
adjustments
make
nonseasonal
developments, such as declines in employment or increases
in the participation of women in the labor force, easier to
spot. For example, in the household survey, the large number
of youth entering the labor force each June is likely to
obscure any other changes that have taken place relative to
May, making it difficult to determine if the level of economic
activity has risen or declined. Similarly, in the establishment
survey, payroll employment in education declines by about
20 percent at the end of the spring term and later rises with
the start of the fall term, obscuring the underlying
employment trends in the industry. Because seasonal
employment changes at the end and beginning of the school
year can be estimated, the statistics can be adjusted to make
underlying employment patterns more discernable. The
seasonally adjusted figures provide a more useful tool with
which to analyze changes in month-to-month economic
activity.
Many seasonally adjusted series are independently
adjusted in both the household and establishment surveys.
However, the adjusted series for many major estimates, such
as total payroll employment, employment in most major
sectors, total employment, and unemployment are computed
by aggregating independently adjusted component series.
For example, total unemployment is derived by summing the
adjusted series for four major age-sex components; this
differs from the unemployment estimate that would be
obtained by directly adjusting the total or by combining the
duration, reasons, or more detailed age categories.
For both the household and establishment surveys, a
concurrent seasonal adjustment methodology is used in
which new seasonal factors are calculated each month using
all relevant data, up to and including the data for the current
month. In the household survey, new seasonal factors are
used to adjust only the current month's data. In the
establishment survey, however, new seasonal factors are
used each month to adjust the three most recent monthly
estimates. The prior 2 months are routinely revised to
incorporate additional sample reports and recalculated
seasonal adjustment factors. In both surveys, 5-year
revisions to historical data are made once a year.
Reliability of the estimates
Statistics based on the household and establishment
surveys are subject to both sampling and nonsampling error.
When a sample, rather than the entire population, is

surveyed, there is a chance that the sample estimates may
differ from the true population values they represent. The
component of this difference that occurs because samples
differ by chance is known as sampling error, and its
variability is measured by the standard error of the estimate.
There is about a 90-percent chance, or level of confidence,
that an estimate based on a sample will differ by no more
than 1.6 standard errors from the true population value
because of sampling error. BLS analyses are generally
conducted at the 90-percent level of confidence.
For example, the confidence interval for the monthly
change in total nonfarm employment from the establishment
survey is on the order of plus or minus 115,000. Suppose the
estimate of nonfarm employment increases by 50,000 from
one month to the next. The 90-percent confidence interval on
the monthly change would range from -65,000 to +165,000
(50,000 +/- 115,000). These figures do not mean that the
sample results are off by these magnitudes, but rather that
there is about a 90-percent chance that the true over-themonth change lies within this interval. Since this range
includes values of less than zero, we could not say with
confidence that nonfarm employment had, in fact, increased
that month. If, however, the reported nonfarm employment
rise was 250,000, then all of the values within the 90-percent
confidence interval would be greater than zero. In this case,
it is likely (at least a 90-percent chance) that nonfarm
employment had, in fact, risen that month. At an
unemployment rate of around 6.0 percent, the 90-percent
confidence interval for the monthly change in unemployment
as measured by the household survey is about +/- 300,000,
and for the monthly change in the unemployment rate it is
about +/- 0.2 percentage point.
In general, estimates involving many individuals or
establishments have lower standard errors (relative to the
size of the estimate) than estimates which are based on a
small number of observations. The precision of estimates
also is improved when the data are cumulated over time, such
as for quarterly and annual averages.
The household and establishment surveys are also
affected by nonsampling error, which can occur for many
reasons, including the failure to sample a segment of the
population, inability to obtain information for all respondents
in the sample, inability or unwillingness of respondents to
provide correct information on a timely basis, mistakes made
by respondents, and errors made in the collection or
processing of the data.
For example, in the establishment survey, estimates for
the most recent 2 months are based on incomplete returns;
for this reason, these estimates are labeled preliminary in the
tables. It is only after two successive revisions to a monthly
estimate, when nearly all sample reports have been received,
that the estimate is considered final.
Another major source of nonsampling error in the
establishment survey is the inability to capture, on a timely
basis, employment generated by new firms. To correct for
this systematic underestimation of employment growth, an
estimation procedure with two components is used to
account for business births. The first component excludes
employment losses from business deaths from sample-based

estimation in order to offset the missing employment gains
from business births. This is incorporated into the samplebased estimation procedure by simply not reflecting sample
units going out of business, but imputing to them the same
employment trend as the other firms in the sample. This
procedure accounts for most of the net birth/death
employment.
The second component is an ARIMA time series model
designed to estimate the residual net birth/death employment
not accounted for by the imputation. The historical time
series used to create and test the ARIMA model was derived
from the unemployment insurance universe micro-level
database, and reflects the actual residual net of births and
deaths over the past 5 years.
The sample-based estimates from the establishment
survey are adjusted once a year (on a lagged basis) to

universe counts of payroll employment obtained from
administrative records of the unemployment insurance
program. The difference between the March sample-based
employment estimates and the March universe counts is
known as a benchmark revision, and serves as a rough proxy
for total survey error. The new benchmarks also incorporate
changes in the classification of industries. Over the past
decade, absolute benchmark revisions for total nonfarm
employment have averaged 0.3 percent, with a range from
-0.7 percent to 0.6 percent.
Other information
Information in this release will be made available to
sensory impaired individuals upon request. Voice phone:
(202) 691-5200; Federal Relay Service: (800) 877-8339.

HOUSEHOLD DATA
Table A-1. Employment status of the civilian population by sex and age
[Numbers in thousands]
Seasonally adjusted1

Not seasonally adjusted
Employment status, sex, and age

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
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. . . . . . . . . . . . . . . . . .

254,767
159,979
62.8
153,407
60.2
6,572
4.1
94,788
5,976

257,272
161,280
62.7
155,348
60.4
5,932
3.7
95,992
5,010

257,454
161,765
62.8
156,009
60.6
5,756
3.6
95,689
5,696

254,767
159,729
62.7
152,892
60.0
6,837
4.3
95,038
5,475

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

256,934
161,921
63.0
155,215
60.4
6,706
4.1
95,012
5,131

257,097
161,763
62.9
155,178
60.4
6,585
4.1
95,335
5,096

257,272
161,527
62.8
155,181
60.3
6,346
3.9
95,745
5,115

257,454
161,539
62.7
155,474
60.4
6,065
3.8
95,915
5,183

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

123,120
85,007
69.0
81,572
66.3
3,436
4.0
38,113

124,418
85,965
69.1
82,610
66.4
3,355
3.9
38,453

124,509
86,309
69.3
83,103
66.7
3,206
3.7
38,201

123,120
84,852
68.9
81,272
66.0
3,581
4.2
38,268

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

124,250
86,267
69.4
82,685
66.5
3,582
4.2
37,983

124,331
86,169
69.3
82,630
66.5
3,539
4.1
38,162

124,418
86,152
69.2
82,611
66.4
3,541
4.1
38,266

124,509
86,157
69.2
82,784
66.5
3,373
3.9
38,352

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

114,627
82,130
71.6
79,126
69.0
3,004
3.7
32,497

115,921
83,225
71.8
80,242
69.2
2,983
3.6
32,697

116,017
83,458
71.9
80,698
69.6
2,761
3.3
32,559

114,627
81,915
71.5
78,794
68.7
3,120
3.8
32,712

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

115,748
83,309
72.0
80,213
69.3
3,096
3.7
32,440

115,832
83,200
71.8
80,113
69.2
3,087
3.7
32,632

115,921
83,199
71.8
80,111
69.1
3,088
3.7
32,723

116,017
83,234
71.7
80,329
69.2
2,905
3.5
32,783

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

131,647
74,972
56.9
71,835
54.6
3,136
4.2
56,675

132,853
75,314
56.7
72,738
54.8
2,576
3.4
57,539

132,944
75,456
56.8
72,907
54.8
2,549
3.4
57,488

131,647
74,877
56.9
71,620
54.4
3,257
4.3
56,770

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

132,684
75,654
57.0
72,530
54.7
3,124
4.1
57,030

132,766
75,594
56.9
72,548
54.6
3,046
4.0
57,172

132,853
75,375
56.7
72,569
54.6
2,805
3.7
57,479

132,944
75,382
56.7
72,690
54.7
2,692
3.6
57,562

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

123,386
72,085
58.4
69,340
56.2
2,745
3.8
51,300

124,579
72,573
58.3
70,266
56.4
2,307
3.2
52,006

124,674
72,599
58.2
70,341
56.4
2,258
3.1
52,075

123,386
71,979
58.3
69,087
56.0
2,892
4.0
51,407

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

124,407
72,565
58.3
69,828
56.1
2,737
3.8
51,842

124,491
72,610
58.3
69,916
56.2
2,695
3.7
51,880

124,579
72,498
58.2
69,992
56.2
2,506
3.5
52,081

124,674
72,493
58.1
70,077
56.2
2,415
3.3
52,181

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

16,754
5,764
34.4
4,941
29.5
823
14.3
10,991

16,771
5,482
32.7
4,840
28.9
642
11.7
11,290

16,763
5,707
34.0
4,970
29.7
737
12.9
11,056

16,754
5,836
34.8
5,010
29.9
825
14.1
10,919

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

16,778
6,048
36.0
5,174
30.8
874
14.4
10,731

16,774
5,952
35.5
5,149
30.7
803
13.5
10,822

16,771
5,831
34.8
5,078
30.3
752
12.9
10,941

16,763
5,812
34.7
5,068
30.2
745
12.8
10,951

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.

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

198,775
124,722
62.7
120,375
60.6
4,346
3.5
74,053

199,950
125,488
62.8
121,358
60.7
4,130
3.3
74,462

200,039
125,848
62.9
121,788
60.9
4,060
3.2
74,191

198,775
124,529
62.6
119,895
60.3
4,634
3.7
74,246

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

199,799
125,930
63.0
121,274
60.7
4,656
3.7
73,869

199,871
125,714
62.9
121,236
60.7
4,478
3.6
74,157

199,950
125,731
62.9
121,233
60.6
4,498
3.6
74,219

200,039
125,688
62.8
121,303
60.6
4,385
3.5
74,350

65,380
72.0
63,293
69.7
2,087
3.2

65,988
72.1
63,848
69.8
2,140
3.2

66,049
72.1
64,113
70.0
1,936
2.9

65,216
71.8
62,983
69.3
2,233
3.4

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

65,948
72.1
63,683
69.6
2,265
3.4

65,928
72.1
63,734
69.7
2,194
3.3

65,982
72.1
63,746
69.7
2,235
3.4

65,890
72.0
63,785
69.7
2,106
3.2

54,933
57.5
53,169
55.6
1,764
3.2

55,210
57.4
53,641
55.8
1,568
2.8

55,277
57.5
53,681
55.8
1,595
2.9

54,834
57.4
52,930
55.4
1,904
3.5

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

55,243
57.5
53,448
55.7
1,795
3.3

55,176
57.4
53,385
55.6
1,791
3.2

55,179
57.4
53,429
55.6
1,750
3.2

55,197
57.4
53,450
55.6
1,747
3.2

4,408
35.7
3,914
31.7
495
11.2

4,290
34.8
3,868
31.4
421
9.8

4,522
36.7
3,994
32.4
528
11.7

4,478
36.3
3,981
32.3
497
11.1

4,705
38.1
4,121
33.4
584
12.4

4,738
38.4
4,143
33.6
595
12.6

4,610
37.4
4,117
33.4
492
10.7

4,570
37.1
4,057
32.9
512
11.2

4,601
37.3
4,068
33.0
533
11.6

32,193
20,082
62.4
18,593
57.8
1,489
7.4
12,111

32,672
20,172
61.7
18,953
58.0
1,219
6.0
12,500

32,704
20,292
62.0
19,145
58.5
1,147
5.7
12,412

32,193
20,088
62.4
18,560
57.7
1,528
7.6
12,105

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

32,607
20,495
62.9
19,087
58.5
1,408
6.9
12,112

32,638
20,466
62.7
19,051
58.4
1,415
6.9
12,172

32,672
20,220
61.9
18,892
57.8
1,328
6.6
12,452

32,704
20,296
62.1
19,092
58.4
1,204
5.9
12,408

9,103
67.8
8,511
63.3
593
6.5

9,248
67.6
8,681
63.5
567
6.1

9,407
68.7
8,840
64.6
567
6.0

9,093
67.7
8,477
63.1
616
6.8

9,254
67.9
8,564
62.9
690
7.5

9,438
69.2
8,880
65.1
558
5.9

9,314
68.2
8,749
64.1
564
6.1

9,257
67.7
8,663
63.3
594
6.4

9,382
68.5
8,792
64.2
590
6.3

10,178
62.7
9,497
58.5
681
6.7

10,239
62.1
9,764
59.2
475
4.6

10,207
61.8
9,757
59.1
450
4.4

10,207
62.8
9,504
58.5
703
6.9

10,197
62.0
9,524
57.9
673
6.6

10,254
62.3
9,622
58.5
632
6.2

10,337
62.7
9,713
59.0
624
6.0

10,229
62.0
9,707
58.9
522
5.1

10,233
62.0
9,754
59.1
479
4.7

801
31.9
586
23.3
215
26.8

685
27.4
508
20.3
177
25.8

678
27.1
548
21.9
130
19.2

788
31.4
579
23.1
209
26.5

759
30.3
575
22.9
185
24.3

803
32.0
584
23.3
219
27.2

816
32.6
588
23.5
227
27.9

734
29.3
521
20.8
213
29.0

681
27.3
547
21.9
135
19.8

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

May
2017
15,433
9,818
63.6
9,479
61.4
339
3.5
5,615

Apr.
2018
15,933
10,034
63.0
9,765
61.3
269
2.7
5,898

May
2018
15,874
9,932
62.6
9,732
61.3
201
2.0
5,941

May
2017
15,433
9,817
63.6
9,466
61.3
351
3.6
5,616

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

Feb.
2018
15,792
9,908
62.7
9,617
60.9
291
2.9
5,884

Mar.
2018
15,983
10,092
63.1
9,780
61.2
313
3.1
5,891

Apr.
2018
15,933
10,034
63.0
9,755
61.2
280
2.8
5,898

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.

May
2018
15,874
9,932
62.6
9,720
61.2
212
2.1
5,942

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

41,241
27,218
66.0
25,939
62.9
1,279
4.7
14,024

42,507
28,193
66.3
26,970
63.4
1,223
4.3
14,314

42,592
28,209
66.2
26,954
63.3
1,255
4.4
14,383

41,241
27,230
66.0
25,827
62.6
1,403
5.2
14,011

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

42,335
28,021
66.2
26,646
62.9
1,375
4.9
14,315

42,419
27,922
65.8
26,500
62.5
1,421
5.1
14,497

42,507
28,229
66.4
26,860
63.2
1,368
4.8
14,278

42,592
28,205
66.2
26,827
63.0
1,378
4.9
14,387

14,932
80.4
14,357
77.3
575
3.9

15,517
80.9
14,949
77.9
568
3.7

15,444
80.3
14,903
77.5
541
3.5

14,934
80.4
14,302
77.0
632
4.2

15,320
80.4
14,659
76.9
661
4.3

15,319
80.2
14,723
77.1
595
3.9

15,370
80.3
14,688
76.7
682
4.4

15,535
81.0
14,901
77.7
635
4.1

15,444
80.3
14,845
77.2
599
3.9

11,066
58.7
10,512
55.8
554
5.0

11,437
59.0
10,929
56.3
508
4.4

11,535
59.3
10,990
56.5
545
4.7

11,054
58.7
10,454
55.5
600
5.4

11,257
58.4
10,737
55.7
520
4.6

11,410
59.1
10,815
56.0
595
5.2

11,230
58.0
10,677
55.2
553
4.9

11,398
58.8
10,856
56.0
541
4.7

11,507
59.2
10,917
56.2
590
5.1

1,220
31.8
1,070
27.9
150
12.3

1,239
31.6
1,091
27.8
148
11.9

1,231
31.3
1,061
27.0
169
13.7

1,242
32.4
1,071
27.9
172
13.8

1,249
32.0
1,036
26.5
213
17.0

1,292
33.0
1,108
28.3
184
14.2

1,321
33.7
1,135
29.0
186
14.1

1,296
33.0
1,103
28.1
192
14.8

1,254
31.9
1,065
27.1
189
15.1

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

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

10,620
46.5
10,038
43.9
582
5.5

10,438
46.6
9,836
43.9
603
5.8

10,519
46.4
10,035
44.2
484
4.6

10,327
45.2
9,684
42.4
643
6.2

10,274
44.8
9,715
42.3
559
5.4

10,258
46.8
9,673
44.1
584
5.7

10,234
45.7
9,666
43.2
568
5.5

10,285
45.9
9,683
43.3
602
5.9

10,242
45.2
9,688
42.7
554
5.4

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

36,127
57.9
34,535
55.4
1,592
4.4

35,538
57.0
34,086
54.7
1,451
4.1

35,886
57.5
34,585
55.4
1,301
3.6

35,982
57.7
34,296
55.0
1,685
4.7

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

36,092
57.5
34,487
55.0
1,604
4.4

35,863
57.1
34,305
54.6
1,559
4.3

35,468
56.9
33,940
54.5
1,528
4.3

35,702
57.2
34,306
54.9
1,395
3.9

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

37,187
65.4
35,786
63.0
1,401
3.8

38,056
65.6
36,818
63.5
1,238
3.3

37,732
65.4
36,596
63.4
1,135
3.0

37,425
65.9
35,929
63.2
1,496
4.0

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

37,573
65.5
36,248
63.2
1,325
3.5

37,589
65.6
36,241
63.2
1,348
3.6

37,944
65.5
36,629
63.2
1,315
3.5

37,921
65.7
36,694
63.6
1,228
3.2

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

55,146
74.0
53,978
72.4
1,168
2.1

56,823
74.2
55,735
72.8
1,088
1.9

56,850
74.2
55,809
72.8
1,040
1.8

55,089
73.9
53,812
72.2
1,277
2.3

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

56,669
73.7
55,386
72.0
1,283
2.3

56,785
74.2
55,534
72.6
1,252
2.2

56,794
74.2
55,616
72.6
1,178
2.1

56,739
74.1
55,593
72.6
1,147
2.0

1

Includes persons with a high school diploma or equivalent.
Includes persons with bachelor’s, master’s, professional, and doctoral degrees.
NOTE: Updated population controls are introduced annually with the release of January data.

2

HOUSEHOLD DATA
Table A-5. Employment status of the civilian population 18 years and over by veteran status, period of service,
and sex, not seasonally adjusted
[Numbers in thousands]
Total
Employment status, veteran status, and period of service

May
2017

Men
May
2018

May
2017

Women
May
2018

May
2017

May
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

20,593
10,036
48.7
9,697
47.1
340
3.4
10,557

19,247
9,388
48.8
9,065
47.1
323
3.4
9,859

18,565
8,868
47.8
8,573
46.2
294
3.3
9,697

17,384
8,291
47.7
7,997
46.0
294
3.5
9,093

2,028
1,169
57.6
1,123
55.4
45
3.9
859

1,863
1,097
58.9
1,068
57.3
29
2.7
766

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

4,156
3,300
79.4
3,149
75.8
151
4.6
856

4,143
3,296
79.5
3,158
76.2
138
4.2
847

3,397
2,760
81.3
2,628
77.4
132
4.8
637

3,448
2,799
81.2
2,686
77.9
113
4.0
649

759
540
71.1
521
68.6
19
3.5
220

695
497
71.4
472
67.9
25
5.0
199

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

3,279
2,560
78.1
2,494
76.1
66
2.6
719

3,074
2,369
77.1
2,325
75.6
44
1.9
705

2,811
2,218
78.9
2,171
77.2
46
2.1
594

2,579
2,026
78.6
1,983
76.9
43
2.1
553

468
343
73.2
323
69.0
20
5.8
125

495
343
69.2
341
69.0
1
0.3
152

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

8,106
1,828
22.5
1,766
21.8
62
3.4
6,278

7,679
1,609
20.9
1,540
20.1
68
4.3
6,070

7,813
1,783
22.8
1,721
22.0
62
3.5
6,030

7,418
1,556
21.0
1,488
20.1
68
4.4
5,862

293
45
15.3
45
15.3
0
–
248

261
53
20.2
53
20.2
0
–
208

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

5,052
2,349
46.5
2,288
45.3
61
2.6
2,703

4,351
2,115
48.6
2,042
46.9
73
3.5
2,236

4,544
2,107
46.4
2,053
45.2
54
2.6
2,437

3,939
1,909
48.5
1,840
46.7
69
3.6
2,030

508
242
47.6
235
46.3
7
2.7
266

412
205
49.9
202
49.0
4
1.8
207

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

225,332
147,854
65.6
141,908
63.0
5,946
4.0
77,478

229,354
150,404
65.6
145,268
63.3
5,136
3.4
78,950

100,141
75,159
75.1
72,152
72.1
3,007
4.0
24,982

102,624
77,026
75.1
74,297
72.4
2,730
3.5
25,597

125,191
72,695
58.1
69,755
55.7
2,939
4.0
52,496

126,731
73,378
57.9
70,972
56.0
2,406
3.3
53,353

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

May
2017

May
2018

Persons with no disability
May
2017

May
2018

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

30,732
6,326
20.6
5,722
18.6
604
9.5
24,406

30,424
6,128
20.1
5,697
18.7
431
7.0
24,296

224,035
153,653
68.6
147,685
65.9
5,968
3.9
70,382

227,030
155,637
68.6
150,313
66.2
5,324
3.4
71,393

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

2,722
34.4
2,457
31.0
265
9.7
5,194

2,584
34.5
2,362
31.6
222
8.6
4,900

76,969
82.6
73,958
79.4
3,011
3.9
16,160

78,114
83.0
75,311
80.0
2,803
3.6
16,035

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

2,565
31.0
2,279
27.5
286
11.2
5,716

2,396
30.0
2,225
27.9
170
7.1
5,578

68,046
70.8
65,362
68.0
2,684
3.9
28,042

68,564
70.8
66,301
68.5
2,263
3.3
28,239

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

1,039
7.2
986
6.8
53
5.1
13,495

1,148
7.7
1,110
7.4
39
3.4
13,818

8,637
24.8
8,364
24.0
273
3.2
26,181

8,960
24.8
8,701
24.1
259
2.9
27,120

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

May
2017

Men
May
2018

May
2017

Women
May
2018

May
2017

May
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................................................... .

41,390
27,315
66.0
26,290
63.5
1,025
3.8
14,075

42,732
27,923
65.3
27,086
63.4
837
3.0
14,809

20,132
15,737
78.2
15,258
75.8
479
3.0
4,395

20,682
16,088
77.8
15,674
75.8
414
2.6
4,594

21,259
11,578
54.5
11,031
51.9
547
4.7
9,680

22,050
11,835
53.7
11,412
51.8
423
3.6
10,215

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

213,377
132,664
62.2
127,117
59.6
5,547
4.2
80,713

214,722
133,842
62.3
128,924
60.0
4,919
3.7
80,880

102,989
69,271
67.3
66,314
64.4
2,957
4.3
33,718

103,827
70,221
67.6
67,428
64.9
2,792
4.0
33,606

110,388
63,393
57.4
60,804
55.1
2,590
4.1
46,995

110,895
63,621
57.4
61,495
55.5
2,126
3.3
47,273

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

2,564
1,676
865
23
150,843
142,130
21,015
121,115
655
120,460
8,660
53

2,230
1,438
759
33
153,119
144,009
21,453
122,556
780
121,776
9,039
70

2,412
1,604
776
32
153,598
144,424
21,253
123,170
773
122,398
9,112
61

2,478
1,637
822
–
150,516
141,928
20,800
121,101
–
120,440
8,589
–

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

2,474
1,679
768
–
152,713
143,656
20,986
122,693
–
121,957
8,944
–

2,314
1,495
803
–
152,747
143,688
20,957
122,761
–
121,977
8,990
–

2,294
1,517
745
–
152,889
143,785
21,222
122,616
–
121,858
8,995
–

2,345
1,573
742
–
153,211
144,124
21,045
123,090
–
122,319
9,013
–

5,038
2,921
1,860
21,373

4,734
2,867
1,573
22,132

4,739
2,875
1,542
21,433

5,268
3,058
1,764
21,018

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

5,160
3,302
1,541
21,061

5,019
3,005
1,625
21,399

4,985
2,994
1,586
21,258

4,948
3,004
1,480
21,095

4,994
2,900
1,853
21,060

4,631
2,799
1,559
21,763

4,677
2,831
1,529
21,074

5,202
3,017
1,754
20,703

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

5,091
3,258
1,533
20,641

4,944
2,940
1,619
20,999

4,898
2,923
1,575
20,891

4,872
2,948
1,464
20,766

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

153,407
4,941
1,802
3,138
148,466
14,130
134,337
98,867
34,291
31,929
32,647
35,469

155,348
4,840
1,642
3,198
150,508
14,034
136,475
100,206
35,157
32,670
32,379
36,269

156,009
4,970
1,676
3,294
151,039
14,014
137,025
100,445
35,353
32,596
32,496
36,580

152,892
5,010
1,885
3,145
147,882
14,183
133,714
98,523
34,180
31,821
32,522
35,191

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

155,215
5,174
1,915
3,293
150,041
14,213
135,856
100,120
34,975
32,503
32,642
35,735

155,178
5,149
1,892
3,261
150,028
14,334
135,779
100,051
35,106
32,462
32,484
35,728

155,181
5,078
1,838
3,257
150,102
14,172
135,906
99,965
35,083
32,614
32,268
35,941

155,474
5,068
1,771
3,285
150,406
14,069
136,373
100,105
35,221
32,492
32,392
36,268

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

81,572
2,446
846
1,600
79,126
7,344
71,782
52,874
18,426
17,247
17,201
18,909

82,610
2,368
774
1,594
80,242
7,204
73,038
53,721
18,944
17,667
17,110
19,317

83,103
2,405
809
1,596
80,698
7,208
73,489
53,915
19,052
17,711
17,152
19,574

81,272
2,477
881
1,613
78,794
7,338
71,444
52,685
18,372
17,176
17,136
18,760

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

82,685
2,472
872
1,617
80,213
7,392
72,822
53,764
18,925
17,592
17,247
19,058

82,630
2,517
891
1,639
80,113
7,445
72,707
53,647
18,942
17,576
17,130
19,060

82,611
2,500
858
1,651
80,111
7,291
72,840
53,686
18,946
17,644
17,096
19,154

82,784
2,455
849
1,610
80,329
7,205
73,131
53,728
18,992
17,634
17,101
19,403

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

71,835
2,495
956
1,538
69,340
6,786
62,555
45,994
15,865
14,682
15,447
16,561

72,738
2,472
868
1,603
70,266
6,829
63,437
46,485
16,213
15,003
15,269
16,952

72,907
2,565
867
1,698
70,341
6,805
63,536
46,530
16,301
14,885
15,343
17,006

71,620
2,533
1,004
1,531
69,087
6,845
62,270
45,838
15,807
14,645
15,386
16,432

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

72,530
2,702
1,044
1,676
69,828
6,821
63,033
46,356
16,050
14,911
15,395
16,677

72,548
2,632
1,001
1,622
69,916
6,889
63,071
46,404
16,164
14,886
15,354
16,667

72,569
2,578
980
1,606
69,992
6,882
63,067
46,280
16,137
14,970
15,172
16,787

72,690
2,613
922
1,675
70,077
6,864
63,243
46,377
16,229
14,858
15,291
16,865

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

45,968
36,275
9,470

46,195
36,386
9,492

46,281
36,236
9,608

45,753
36,072
–

45,714
35,768
–

45,863
35,632
–

45,865
35,564
–

45,995
36,140
–

46,041
35,978
–

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

125,911
27,496

127,340
28,008

129,014
26,996

125,621
27,340

127,016
27,271

127,745
27,548

127,434
27,858

127,753
27,508

128,657
26,883

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

7,584
4.9

7,637
4.9

7,411
4.8

7,556
4.9

7,845
5.1

7,864
5.1

7,609
4.9

7,667
4.9

7,442
4.8

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

5,742
9,525

5,787
9,798

5,696
9,889

–
9,411

–
9,773

–
9,713

–
9,793

–
9,741

–
9,755

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

AGE AND SEX
Total, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 19 years.................................... .
16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over............................. .
25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 34 years............................ .
35 to 44 years............................ .
45 to 54 years............................ .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . .

6,837
825
284
542
6,012
1,021
5,028
3,924
1,744
1,097
1,083
1,117

6,346
752
294
473
5,594
1,018
4,613
3,543
1,627
995
921
1,105

6,065
745
307
454
5,321
1,073
4,261
3,252
1,405
950
897
1,039

4.3
14.1
13.1
14.7
3.9
6.7
3.6
3.8
4.9
3.3
3.2
3.1

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

4.1
14.4
15.5
13.7
3.7
6.8
3.4
3.5
4.4
3.1
2.9
3.2

4.1
13.5
14.9
12.6
3.7
6.6
3.4
3.5
4.2
3.2
2.9
3.2

3.9
12.9
13.8
12.7
3.6
6.7
3.3
3.4
4.4
3.0
2.8
3.0

3.8
12.8
14.8
12.2
3.4
7.1
3.0
3.1
3.8
2.8
2.7
2.8

Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 19 years.................................... .
16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over............................. .
25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 34 years............................ .
35 to 44 years............................ .
45 to 54 years............................ .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . .

3,581
461
140
322
3,120
637
2,537
1,967
890
538
539
570

3,541
453
178
283
3,088
605
2,506
1,869
911
482
476
637

3,373
468
187
285
2,905
618
2,325
1,715
742
487
486
610

4.2
15.7
13.7
16.6
3.8
8.0
3.4
3.6
4.6
3.0
3.0
2.9

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

4.2
16.4
17.1
16.1
3.7
7.6
3.3
3.2
4.1
2.7
2.8
3.5

4.1
15.2
16.1
14.5
3.7
7.5
3.3
3.4
4.1
3.0
2.9
3.2

4.1
15.3
17.2
14.6
3.7
7.7
3.3
3.4
4.6
2.7
2.7
3.2

3.9
16.0
18.0
15.1
3.5
7.9
3.1
3.1
3.8
2.7
2.8
3.0

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

3,257
365
144
220
2,892
384
2,491
1,956
854
558
544
577

2,805
299
116
191
2,506
413
2,107
1,673
716
513
445
483

2,692
277
120
169
2,415
454
1,936
1,537
664
462
411
465

4.3
12.6
12.5
12.6
4.0
5.3
3.8
4.1
5.1
3.7
3.4
3.4

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

4.1
12.5
14.0
11.4
3.8
6.0
3.5
3.8
4.7
3.5
3.0
2.8

4.0
11.8
13.8
10.6
3.7
5.7
3.5
3.6
4.3
3.4
3.0
3.2

3.7
10.4
10.6
10.6
3.5
5.7
3.2
3.5
4.2
3.3
2.8
2.8

3.6
9.6
11.6
9.2
3.3
6.2
3.0
3.2
3.9
3.0
2.6
2.7

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

1,089
952
688

997
903
548

905
857
470

2.3
2.6
6.8

2.3
2.4
6.5

2.1
2.7
6.2

2.1
2.6
5.6

2.1
2.4
5.5

1.9
2.3
4.7

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

5,494
1,373

5,193
1,200

4,937
1,166

4.2
4.8

4.0
4.7

4.1
4.5

4.0
4.5

3.9
4.2

3.7
4.2

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

May
2017

Apr.
2018

Seasonally adjusted

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
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........................................ .

3,017
575
2,442
1,699
743
741
2,187
628

2,805
713
2,092
1,415
677
761
1,836
530

2,493
533
1,960
1,380
580
801
1,933
529

3,333
816
2,517
1,751
766
798
2,100
658

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

3,279
878
2,401
1,709
692
780
1,948
704

3,146
865
2,281
1,645
637
864
1,967
625

2,958
862
2,096
1,418
678
815
2,009
623

2,854
803
2,052
1,439
612
852
1,882
571

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

45.9
8.7
37.2
11.3
33.3
9.5

47.3
12.0
35.3
12.8
31.0
8.9

43.3
9.3
34.1
13.9
33.6
9.2

48.4
11.8
36.5
11.6
30.5
9.6

49.6
13.8
35.8
10.9
29.7
9.8

48.9
13.1
35.8
11.6
29.0
10.5

47.7
13.1
34.6
13.1
29.8
9.5

46.2
13.5
32.7
12.7
31.4
9.7

46.3
13.0
33.3
13.8
30.6
9.3

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

1.9
0.5
1.4
0.4

1.7
0.5
1.1
0.3

1.5
0.5
1.2
0.3

2.1
0.5
1.3
0.4

2.0
0.4
1.2
0.4

2.0
0.5
1.2
0.4

1.9
0.5
1.2
0.4

1.8
0.5
1.2
0.4

1.8
0.5
1.2
0.4

NOTE: Updated population controls are introduced annually with the release of January data.

HOUSEHOLD DATA
Table A-12. Unemployed persons by duration of unemployment
[Numbers in thousands]
Not seasonally adjusted
Duration

May
2017

Apr.
2018

May
2018

Seasonally adjusted
May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

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

2,106
1,592
2,874
1,213
1,661

1,782
1,666
2,483
1,158
1,325

1,950
1,568
2,237
1,066
1,171

2,123
1,958
2,788
1,123
1,665

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

2,508
1,906
2,330
934
1,397

2,287
2,009
2,202
880
1,322

2,115
2,017
2,329
1,036
1,293

2,034
1,945
2,166
977
1,189

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

25.7
11.3

24.2
11.9

21.8
9.9

24.8
10.4

24.1
9.4

22.9
9.3

24.1
9.1

23.1
9.8

21.3
9.2

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

32.0
24.2
43.7
18.5
25.3

30.1
28.1
41.9
19.5
22.3

33.9
27.3
38.9
18.5
20.3

30.9
28.5
40.6
16.3
24.2

34.4
29.3
36.3
14.8
21.5

37.2
28.3
34.6
13.8
20.7

35.2
30.9
33.9
13.5
20.3

32.7
31.2
36.0
16.0
20.0

33.1
31.7
35.2
15.9
19.4

NOTE: Updated population controls are introduced annually with the release of January data.

HOUSEHOLD DATA
Table A-13. Employed and unemployed persons by occupation, not seasonally adjusted
[Numbers in thousands]
Employed
Occupation

Total, 16 years and over1............................................ .
Management, professional, and related occupations. . . . . . . . . . .
Management, business, and financial operations
occupations.................................................... .
Professional and related occupations......................... .
Service occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sales and office occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sales and related occupations................................. .
Office and administrative support occupations. . . . . . . . . . . . . . .
Natural resources, construction, and maintenance
occupations....................................................... .
Farming, fishing, and forestry occupations. . . . . . . . . . . . . . . . . . . .
Construction and extraction occupations. . . . . . . . . . . . . . . . . . . . . .
Installation, maintenance, and repair occupations. . . . . . . . . . .
Production, transportation, and material moving
occupations....................................................... .
Production occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Transportation and material moving occupations. . . . . . . . . . . .
1

Unemployment
rates

Unemployed

May
2017

May
2018

May
2017

May
2018

May
2017

May
2018

153,407
61,174

156,009
62,360

6,572
1,208

5,756
1,083

4.1
1.9

3.6
1.7

25,319
35,855
27,001
33,015
15,510
17,506

25,784
36,576
27,710
33,165
15,769
17,396

463
745
1,529
1,394
733
660

448
635
1,241
1,297
695
602

1.8
2.0
5.4
4.1
4.5
3.6

1.7
1.7
4.3
3.8
4.2
3.3

14,402
1,245
8,235
4,921

14,299
1,056
8,218
5,025

854
81
562
211

685
92
471
122

5.6
6.1
6.4
4.1

4.6
8.0
5.4
2.4

17,815
8,670
9,144

18,475
8,633
9,842

944
416
527

898
396
502

5.0
4.6
5.5

4.6
4.4
4.9

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

May
2017

May
2018

May
2017

May
2018

6,572
5,074
20
502
504
327
178
916
262
123
232
690
675
905
245
103
471
297

5,756
4,467
23
415
546
340
206
885
223
100
167
669
563
706
171
95
425
239

4.1
4.0
2.5
5.3
3.2
3.3
3.1
4.7
4.2
4.7
2.3
4.1
2.8
6.3
3.6
6.0
2.2
3.0

3.6
3.5
3.0
4.4
3.4
3.4
3.5
4.5
3.2
3.5
1.7
4.0
2.3
4.9
2.5
5.8
2.0
2.3

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

May
2017

Apr.
2018

May
2018

May
2017

Jan.
2018

Feb.
2018

Mar.
2018

Apr.
2018

May
2018

1.8

1.5

1.4

1.7

1.5

1.4

1.4

1.4

1.3

1.9

1.7

1.5

2.1

2.0

2.0

1.9

1.8

1.8

4.1

3.7

3.6

4.3

4.1

4.1

4.1

3.9

3.8

4.3

3.9

3.8

4.5

4.4

4.4

4.3

4.2

4.0

5.0

4.5

4.4

5.2

5.1

5.1

4.9

4.7

4.6

8.1

7.4

7.3

8.4

8.2

8.2

8.0

7.8

7.6

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

May
2017

Men
May
2018

May
2017

Women
May
2018

May
2017

May
2018

NOT IN THE LABOR FORCE
Total not in the labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Persons who currently want a job. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Marginally attached to the labor force1. . . . . . . . . . . . . . . . . . . . . . . .
Discouraged workers2........................................ .
Other persons marginally attached to the labor force3. . .

94,788
5,976
1,475
355
1,121

95,689
5,696
1,455
378
1,077

38,113
2,801
761
191
570

38,201
2,646
776
257
519

56,675
3,175
714
163
551

57,488
3,050
679
120
559

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

7,584
4.9
4,136
2,067
301
1,029

7,411
4.8
4,062
1,951
294
1,073

3,831
4.7
2,295
715
217
580

3,687
4.4
2,252
673
178
569

3,752
5.2
1,840
1,352
84
449

3,724
5.1
1,811
1,279
116
504

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
2018p

146,937
124,287
20,051

147,384
124,688
20,177

148,366
125,659
20,403

149,309
126,650
20,664

146,299
123,994
20,013

148,280
125,956
20,516

148,439
126,118
20,569

148,662
126,336
20,616

Change
from:
Apr.2018 May2018p
223
218
47

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

672
48.9
622.9
144.3
186.3
51.6
38.2

712
48.6
663.2
148.8
182.0
51.9
38.5

721
47.6
673.0
149.1
185.3
52.8
38.3

732
47.2
684.4
150.7
190.2
52.9
38.6

675
50.0
625.3
145.4
184.4
51.9
38.4

722
50.0
671.6
149.6
186.9
52.3
38.8

729
50.0
679.3
150.7
186.7
52.9
38.8

733
48.5
684.8
151.5
188.3
53.2
38.8

4
-1.5
5.5
0.8
1.6
0.3
0.0

96.5
292.3

91.6
332.4

94.2
338.6

98.7
343.5

94.1
295.5

95.9
335.1

95.0
341.9

96.2
345.0

1.2
3.1

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

6,990
1,535.4
746.7
788.7
1,021.4
4,432.7
1,954.2
2,478.5

6,889
1,546.6
758.1
788.5
930.8
4,411.1
1,940.1
2,471.0

7,083
1,576.2
776.0
800.2
989.2
4,517.3
1,983.8
2,533.5

7,281
1,600.1
791.8
808.3
1,040.4
4,640.8
2,041.9
2,598.9

6,924
1,534.7
746.9
787.8
992.7
4,396.8
1,930.6
2,466.2

7,164
1,587.1
781.9
805.2
1,005.2
4,571.4
2,013.2
2,558.2

7,185
1,598.0
786.2
811.8
1,004.9
4,581.8
2,013.3
2,568.5

7,210
1,598.2
790.8
807.4
1,009.9
4,602.3
2,019.0
2,583.3

25
0.2
4.6
-4.4
5.0
20.5
5.7
14.8

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

12,389

12,576

12,599

12,651

12,414

12,630

12,655

12,673

18

7,711
396.7
413.9
370.8
1,423.3
1,073.4
1,036.3
157.5
86.4

7,869
401.6
413.4
380.0
1,471.9
1,105.3
1,059.0
168.9
86.1

7,887
402.5
420.0
380.0
1,476.5
1,112.4
1,058.2
169.0
85.3

7,916
406.5
424.0
379.1
1,480.9
1,118.4
1,062.1
169.1
85.8

7,717
396.4
409.4
371.2
1,423.3
1,076.6
1,038.0
158.1
86.6

7,883
404.6
420.1
379.8
1,473.8
1,107.3
1,060.5
169.1
86.3

7,902
404.5
420.8
380.0
1,476.7
1,115.3
1,061.4
169.5
85.5

7,917
405.8
419.5
379.5
1,479.1
1,121.1
1,063.6
169.6
85.8

15
1.3
-1.3
-0.5
2.4
5.8
2.2
0.1
0.3

359.9
398.9

367.4
404.4

367.7
404.6

368.5
406.8

360.4
399.2

367.9
404.7

368.6
405.9

369.1
407.1

0.5
1.2

33.6
382.8
1,630.1
954.7
394.0

32.2
398.8
1,654.3
966.8
391.2

31.6
400.0
1,652.7
963.0
389.6

31.9
401.9
1,653.8
957.0
391.9

33.7
384.3
1,632.0
954.4
394.4

32.4
399.8
1,649.7
960.8
392.0

32.0
401.6
1,653.4
961.1
391.2

31.9
403.4
1,654.8
956.7
392.3

-0.1
1.8
1.4
-4.4
1.1

589.7

593.7

595.4

597.0

591.0

595.8

597.1

597.6

0.5

4,678
1,579.8
112.3
115.2
120.5
369.1
439.7
115.4
820.1
713.8

4,707
1,607.1
111.1
111.5
116.8
372.8
434.8
111.7
823.4
724.4

4,712
1,606.4
111.2
110.6
117.6
373.3
432.9
113.8
824.6
725.6

4,735
1,614.4
112.2
109.9
116.2
374.4
433.3
116.0
824.9
728.9

4,697
1,600.0
112.1
115.2
121.0
368.8
439.9
114.6
820.6
711.9

4,747
1,631.1
111.3
111.9
116.9
373.2
435.5
115.1
824.5
725.2

4,753
1,632.8
111.6
111.0
117.9
373.3
434.1
115.3
826.3
726.5

4,756
1,635.7
112.0
110.1
116.4
373.5
433.5
115.2
826.3
727.5

3
2.9
0.4
-0.9
-1.5
0.2
-0.6
-0.1
0.0
1.0

291.6

293.5

296.4

305.0

292.8

302.7

303.7

305.7

2.0

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

104,236

104,511

105,256

105,986

103,981

105,440

105,549

105,720

171

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

27,340

27,422

27,493

27,694

27,439

27,736

27,736

27,789

53

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

See footnotes at end of table.

5,893.4
2,957.2
2,048.8

5,940.8
3,000.2
2,042.5

5,936.3
3,001.5
2,042.1

5,960.2
3,008.7
2,053.3

5,886.9
2,955.7
2,043.8

5,962.0
3,006.6
2,054.5

5,950.6
3,007.1
2,047.3

5,954.8
3,007.3
2,049.0

4.2
0.2
1.7

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

May
2017

Mar.
2018

Apr.
2018p

Seasonally adjusted
May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Change
from:
Apr.2018 May2018p

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

887.4

898.1

892.7

898.2

887.4

900.9

896.2

898.5

2.3

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

15,769.0
2,011.3
1,295.8
162.2
553.3
469.2
498.1

15,701.0
2,016.5
1,302.7
153.4
560.4
478.2
494.7

15,771.7
2,023.4
1,302.4
157.3
563.7
476.4
493.3

15,899.5
2,033.4
1,305.5
162.2
565.7
477.1
493.0

15,845.2
2,004.0
1,294.9
156.2
552.9
475.2
509.6

15,930.4
2,025.4
1,305.7
157.1
562.6
482.8
498.8

15,939.2
2,025.4
1,305.4
156.5
563.5
482.8
500.3

15,970.3
2,026.4
1,305.0
156.3
565.1
483.3
501.4

31.1
1.0
-0.4
-0.2
1.6
0.5
1.1

1,335.9
3,080.3
1,065.2
933.6
1,343.0

1,323.0
3,062.3
1,055.3
927.8
1,322.9

1,360.3
3,068.6
1,050.5
929.8
1,317.6

1,391.5
3,092.0
1,050.7
941.8
1,334.2

1,265.8
3,086.3
1,069.6
930.6
1,385.0

1,317.9
3,094.7
1,059.0
938.0
1,369.9

1,313.2
3,097.3
1,057.2
937.5
1,366.3

1,319.2
3,098.1
1,056.4
938.8
1,372.8

6.0
0.8
-0.8
1.3
6.5

581.3
3,057.5
1,131.8

570.0
3,058.8
1,130.8

573.6
3,073.5
1,131.6

576.9
3,085.8
1,135.0

602.1
3,117.5
1,172.6

594.4
3,127.8
1,170.1

596.5
3,136.4
1,170.2

597.8
3,149.8
1,177.8

1.3
13.4
7.6

1,925.7
833.6
560.0

1,928.0
806.9
584.6

1,941.9
818.0
586.7

1,950.8
837.8
585.3

1,944.9
829.5
570.0

1,957.7
829.8
591.9

1,966.2
831.1
595.2

1,972.1
832.2
594.1

5.9
1.1
-1.1

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

5,124.6
492.7
217.1
66.1
1,451.1

5,227.4
499.3
211.3
62.3
1,453.8

5,231.3
501.3
212.5
64.2
1,458.1

5,280.2
503.9
212.5
65.7
1,475.9

5,153.0
490.5
216.9
65.6
1,453.2

5,289.0
501.4
212.2
64.3
1,477.2

5,290.6
502.0
212.3
64.8
1,470.8

5,309.3
502.0
212.3
65.2
1,477.4

18.7
0.0
0.0
0.4
6.6

511.6
48.1
39.4
685.5
637.2
975.8

509.5
47.6
29.2
706.1
700.2
1,008.1

509.0
46.8
31.1
705.7
691.0
1,011.6

513.0
47.0
37.7
705.0
699.7
1,019.8

493.5
48.1
36.2
687.7
674.5
986.8

495.7
47.6
37.1
708.3
725.6
1,019.6

495.1
47.0
35.3
706.2
732.5
1,024.6

495.2
47.0
34.9
706.8
737.3
1,031.2

0.1
0.0
-0.4
0.6
4.8
6.6

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

553.4

552.6

554.1

553.6

554.0

554.1

555.5

554.4

-1.1

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

2,789
720.1

2,755
712.5

2,763
709.0

2,771
710.2

2,794
724.6

2,765
714.8

2,769
712.7

2,775
714.7

6
2.0

430.4
264.2
779.4

401.7
263.7
766.2

419.3
263.1
758.7

427.7
260.5
757.5

425.4
265.3
781.2

408.0
262.5
766.2

416.1
262.7
762.2

421.4
261.6
760.3

5.3
-1.1
-1.9

316.5
278.7

325.6
285.0

326.4
286.2

326.3
289.1

316.5
280.5

326.5
286.6

326.8
288.4

326.4
290.6

-0.4
2.2

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

8,419
6,242.7
18.9

8,503
6,300.3
18.9

8,509
6,294.8
18.9

8,545
6,306.4
19.0

8,434
6,257.1
19.0

8,548
6,312.9
19.0

8,551
6,314.4
19.0

8,559
6,319.3
19.1

8
4.9
0.1

2,641.8
1,714.4
1,325.0
618.3
309.1

2,655.3
1,716.6
1,322.4
623.2
315.5

2,655.7
1,717.3
1,323.3
624.3
314.1

2,662.1
1,722.6
1,326.3
626.2
313.3

2,646.2
1,713.9
1,324.8
622.6
309.7

2,661.4
1,718.4
1,322.8
626.8
316.3

2,663.4
1,720.4
1,324.8
628.5
314.6

2,666.0
1,721.9
1,326.3
630.4
313.7

2.6
1.5
1.5
1.9
-0.9

932.0
2,650.0
2,176.6
1,587.6
564.9

957.5
2,668.6
2,202.6
1,605.8
572.4

958.7
2,661.5
2,213.7
1,612.6
576.9

957.7
2,667.6
2,238.1
1,623.1
590.4

937.1
2,654.8
2,176.4
1,590.0
562.3

961.0
2,671.5
2,234.8
1,622.7
587.5

962.5
2,669.5
2,236.2
1,623.5
588.2

962.1
2,672.1
2,239.2
1,626.1
588.5

-0.4
2.6
3.0
2.6
0.3

See footnotes at end of table.

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

May
2017

Mar.
2018

Apr.
2018p

Seasonally adjusted
May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Change
from:
Apr.2018 May2018p

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

24.1

24.4

24.2

24.6

24.1

24.6

24.5

24.6

0.1

Professional and business services. . . . . . . . . . . . . .
Professional and technical services. . . . . . . . . . . .
Legal services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Accounting and bookkeeping services. . . . . .
Architectural and engineering services. . . . . .
Specialized design services. . . . . . . . . . . . . . . . .
Computer systems design and related
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Management and technical consulting
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Scientific research and development
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Advertising and related services. . . . . . . . . . . . .
Other professional and technical services. . .
Management of companies and enterprises. . .
Administrative and waste services. . . . . . . . . . . . .
Administrative and support services. . . . . . . . .
Office administrative services. . . . . . . . . . . . .
Facilities support services. . . . . . . . . . . . . . . . .
Employment services1. . . . . . . . . . . . . . . . . . . .
Temporary help services. . . . . . . . . . . . . . . .
Business support services. . . . . . . . . . . . . . . .
Travel arrangement and reservation
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Investigation and security services. . . . . . . .
Services to buildings and dwellings. . . . . . .
Other support services. . . . . . . . . . . . . . . . . . . .
Waste management and remediation
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

20,417
8,920.5
1,134.0
943.9
1,429.5
139.1

20,576
9,172.4
1,130.7
1,087.8
1,443.7
135.8

20,815
9,217.6
1,131.5
1,080.7
1,455.0
137.2

20,908
9,131.8
1,133.1
955.2
1,465.4
137.7

20,408
8,980.2
1,136.6
991.9
1,429.4
138.7

20,817
9,143.0
1,135.6
988.6
1,461.6
137.3

20,860
9,163.5
1,135.8
991.9
1,464.8
137.3

20,891
9,186.1
1,135.6
999.3
1,465.6
137.3

31
22.6
-0.2
7.4
0.8
0.0

2,030.1

2,067.6

2,085.3

2,095.3

2,035.0

2,085.7

2,092.1

2,098.7

6.6

1,394.5

1,419.7

1,430.9

1,440.5

1,396.8

1,436.1

1,439.4

1,443.4

4.0

657.0
490.4
702.0
2,287.0
9,209.3
8,796.2
507.6
150.0
3,587.4
2,926.5
894.1

666.6
495.0
725.5
2,308.2
9,095.0
8,677.9
518.1
155.1
3,587.9
2,917.9
908.5

669.8
496.5
730.7
2,306.3
9,291.3
8,869.0
519.9
155.0
3,641.1
2,963.6
901.0

673.2
497.3
734.1
2,322.7
9,453.6
9,026.6
524.1
154.8
3,698.9
3,012.9
900.0

656.5
491.8
703.6
2,290.6
9,136.7
8,724.5
507.2
150.0
3,588.6
2,930.1
906.1

670.0
496.9
731.1
2,316.6
9,357.1
8,933.9
520.3
155.0
3,699.2
3,015.6
911.5

672.2
497.3
732.8
2,318.3
9,378.4
8,953.1
521.5
155.0
3,710.7
3,024.8
909.1

672.7
497.6
735.8
2,325.9
9,378.6
8,952.9
523.8
155.0
3,700.4
3,017.0
911.8

0.5
0.3
3.0
7.6
0.2
-0.2
2.3
0.0
-10.3
-7.8
2.7

220.0
912.7
2,200.6
323.8

215.8
926.8
2,030.1
335.6

218.1
931.9
2,163.4
338.6

219.4
937.7
2,252.6
339.1

218.2
914.7
2,117.9
321.8

217.0
933.9
2,160.3
336.7

217.6
936.0
2,165.2
337.9

217.6
939.2
2,167.8
337.3

0.0
3.2
2.6
-0.6

413.1

417.1

422.3

427.0

412.2

423.2

425.3

425.7

0.4

Education and health services. . . . . . . . . . . . . . . . . . .
Educational services. . . . . . . . . . . . . . . . . . . . . . . . . . .
Health care and social assistance. . . . . . . . . . . . .
Health care3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Ambulatory health care services. . . . . . . . . .
Offices of physicians. . . . . . . . . . . . . . . . . . . .
Offices of dentists. . . . . . . . . . . . . . . . . . . . . . .
Offices of other health practitioners. . . . .
Outpatient care centers. . . . . . . . . . . . . . . . .
Medical and diagnostic laboratories. . . .
Home health care services. . . . . . . . . . . . .
Other ambulatory health care
services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Hospitals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Nursing and residential care facilities. . . . .
Nursing care facilities. . . . . . . . . . . . . . . . . . .
Residential mental health facilities. . . . . .
Community care facilities for the
elderly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Other residential care facilities. . . . . . . . . .
Social assistance. . . . . . . . . . . . . . . . . . . . . . . . . . . .
Individual and family services. . . . . . . . . . . . .
Emergency and other relief services. . . . . .
Vocational rehabilitation services. . . . . . . . .
Child day care services. . . . . . . . . . . . . . . . . . .

23,195
3,711.8
19,483.3
15,660.0
7,262.0
2,571.5
931.2
887.2
889.3
266.7
1,411.5

23,634
3,869.0
19,765.2
15,902.3
7,416.0
2,620.6
936.2
912.6
923.8
277.1
1,437.3

23,695
3,882.0
19,813.1
15,933.1
7,442.3
2,627.8
938.6
920.9
924.3
277.1
1,445.2

23,632
3,759.2
19,872.4
15,975.7
7,469.9
2,632.8
942.7
926.2
929.5
277.7
1,453.8

23,122
3,660.6
19,461.6
15,677.8
7,264.4
2,576.6
931.0
884.8
889.6
267.9
1,409.2

23,491
3,697.7
19,792.8
15,943.9
7,439.8
2,627.1
940.5
916.9
924.0
277.3
1,444.2

23,524
3,701.8
19,821.9
15,966.9
7,454.9
2,633.6
941.2
921.4
925.5
277.2
1,447.1

23,563
3,708.9
19,853.6
15,995.8
7,472.8
2,637.9
942.7
923.8
930.0
278.6
1,451.2

39
7.1
31.7
28.9
17.9
4.3
1.5
2.4
4.5
1.4
4.1

304.6
5,054.1
3,343.9
1,627.4
629.7

308.4
5,149.4
3,336.9
1,606.6
630.3

308.4
5,150.8
3,340.0
1,606.7
631.6

307.2
5,153.5
3,352.3
1,612.4
632.5

305.3
5,067.6
3,345.8
1,629.7
629.5

309.9
5,152.1
3,352.0
1,615.4
631.5

308.8
5,161.2
3,350.8
1,612.4
632.3

308.6
5,167.4
3,355.6
1,615.0
632.7

-0.2
6.2
4.8
2.6
0.4

919.7
167.1
3,823.3
2,352.5
167.9
342.7
960.2

929.0
171.0
3,862.9
2,398.7
172.2
343.5
948.5

929.9
171.8
3,880.0
2,412.2
170.7
344.1
953.0

934.4
173.0
3,896.7
2,420.2
171.7
346.0
958.8

918.9
167.8
3,783.8
2,338.6
168.1
342.8
934.4

932.5
172.6
3,848.9
2,398.0
171.4
346.6
933.0

933.6
172.5
3,855.0
2,404.8
170.3
345.8
934.1

934.6
173.4
3,857.8
2,405.2
171.9
346.1
934.5

1.0
0.9
2.8
0.4
1.6
0.3
0.4

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

16,285
2,403.6
519.6

15,822
2,167.5
469.0

16,137
2,278.1
511.6

16,547
2,431.7
532.5

16,019
2,321.4
490.4

16,248
2,345.1
494.5

16,260
2,344.3
497.2

16,281
2,347.8
501.9

21
3.5
4.7

172.1

161.7

169.2

174.9

165.6

171.2

172.3

168.7

-3.6

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Change
from:
Apr.2018 May2018p

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

1,711.9
13,881.2
2,005.1
11,876.1

1,536.8
13,654.6
1,954.2
11,700.4

1,597.3
13,858.4
1,978.3
11,880.1

1,724.3
14,115.2
2,023.8
12,091.4

1,665.4
13,697.9
2,003.4
11,694.5

1,679.4
13,902.4
2,020.8
11,881.6

1,674.8
13,915.5
2,022.4
11,893.1

1,677.2
13,932.9
2,022.2
11,910.7

2.4
17.4
-0.2
17.6

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

5,791
1,316.0
1,490.9
2,983.6

5,799
1,312.8
1,496.7
2,989.7

5,844
1,321.5
1,521.2
3,001.1

5,889
1,330.0
1,537.0
3,021.8

5,765
1,306.4
1,477.6
2,981.2

5,835
1,314.1
1,511.1
3,009.6

5,849
1,317.3
1,518.5
3,012.7

5,862
1,320.6
1,523.6
3,017.4

13
3.3
5.1
4.7

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. . . . . . . . . .

22,650
2,806.0
2,189.2
616.5
5,174.0
2,494.6
2,678.9
14,670.0
8,240.2
6,429.9

22,696
2,775.0
2,169.8
604.9
5,271.0
2,611.2
2,659.8
14,650.0
8,274.2
6,375.8

22,707
2,784.0
2,175.6
608.4
5,273.0
2,611.1
2,661.7
14,650.0
8,252.2
6,397.5

22,659
2,782.0
2,178.4
603.9
5,132.0
2,460.8
2,671.4
14,745.0
8,266.0
6,479.2

22,305
2,807.0
2,190.0
616.7
5,149.0
2,473.2
2,675.5
14,349.0
7,913.2
6,435.6

22,324
2,791.0
2,183.5
607.2
5,114.0
2,449.4
2,664.9
14,419.0
7,936.7
6,481.8

22,321
2,789.0
2,182.6
606.5
5,110.0
2,445.6
2,664.1
14,422.0
7,940.2
6,481.7

22,326
2,786.0
2,179.8
605.8
5,112.0
2,444.8
2,667.4
14,428.0
7,942.3
6,485.6

5
-3.0
-2.8
-0.7
2.0
-0.8
3.3
6.0
2.1
3.9

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
May
2017

Mar.
2018

Apr.
2018p

May
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
40.4
45.5
39.2
40.7
41.3
39.8
33.2
34.4
39.0
31.0
38.7
42.0
36.2
37.4
36.1
32.8
26.0
31.8

34.5
40.5
45.9
39.3
40.9
41.3
40.2
33.4
34.5
39.1
31.2
38.7
42.1
36.0
37.6
36.2
33.0
26.1
31.7

34.5
40.7
45.8
39.5
41.0
41.5
40.2
33.3
34.4
38.9
31.0
38.8
42.2
36.1
37.5
36.1
33.0
26.0
31.7

34.5
40.6
46.1
39.6
40.8
41.2
40.2
33.3
34.5
39.1
31.1
38.7
42.1
36.0
37.5
36.2
33.0
26.1
31.7

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

3.3
3.3
3.3

3.6
3.6
3.5

3.7
3.7
3.6

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Goods-producing...................................... .
Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Construction......................................... .
Manufacturing....................................... .
Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Trade, transportation, and utilities................ .
Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Transportation and warehousing. . . . . . . . . . . . . . .
Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Financial activities.................................. .
Professional and business services. . . . . . . . . . . . . .
Education and health services.................... .
Leisure and hospitality............................. .
Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

$26.21
27.45
31.80
28.72
26.51
27.76
24.39
25.92
22.70
29.94
18.12
23.77
38.95
38.13
32.94
31.46
26.27
15.47
23.71

$26.80
27.96
32.52
29.43
26.87
28.15
24.68
26.53
23.13
30.30
18.47
24.31
40.24
39.15
34.40
32.12
26.81
15.79
24.28

$26.84
28.05
32.54
29.63
26.90
28.22
24.64
26.56
23.17
30.24
18.58
24.29
40.34
39.31
34.29
32.17
26.79
15.86
24.34

$26.92
28.07
32.54
29.65
26.90
28.24
24.62
26.64
23.24
30.43
18.64
24.30
40.14
39.40
34.77
32.18
26.90
15.86
24.37

$901.62
1,108.98
1,446.90
1,125.82
1,078.96
1,146.49
970.72
860.54
780.88
1,167.66
561.72
919.90
1,635.90
1,380.31
1,231.96
1,135.71
861.66
402.22
753.98

$924.60
1,132.38
1,492.67
1,156.60
1,098.98
1,162.60
992.14
886.10
797.99
1,184.73
576.26
940.80
1,694.10
1,409.40
1,293.44
1,162.74
884.73
412.12
769.68

$925.98
1,141.64
1,490.33
1,170.39
1,102.90
1,171.13
990.53
884.45
797.05
1,176.34
575.98
942.45
1,702.35
1,419.09
1,285.88
1,161.34
884.07
412.36
771.58

$928.74
1,139.64
1,500.09
1,174.14
1,097.52
1,163.49
989.72
887.11
801.78
1,189.81
579.70
940.41
1,689.89
1,418.40
1,303.88
1,164.92
887.70
413.95
772.53

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Percent
change
from:
Apr.
2018 May
2018p

Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Mining and logging. . . . . . . . . . . . . . . . . . . . . . . .
Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Durable goods.......................... .
Nondurable goods. . . . . . . . . . . . . . . . . . . . . .
Private service-providing. . . . . . . . . . . . . . . . . . . .
Trade, transportation, and utilities. . . . . . .
Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . .
Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Transportation and warehousing. . . . . .
Utilities................................... .
Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Financial activities. . . . . . . . . . . . . . . . . . . . . . . . .
Professional and business services. . . . .
Education and health services. . . . . . . . . . .
Leisure and hospitality. . . . . . . . . . . . . . . . . . . .
Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

107.1
92.1
96.5
93.6
90.9
89.7
93.3
111.1
102.7
100.2
99.8
114.1
100.7
92.4
103.3
115.9
123.8
118.8
105.7

109.1
94.7
104.1
97.1
92.9
91.7
95.3
113.3
104.1
101.7
101.0
117.1
100.9
90.9
105.3
118.5
126.6
121.0
106.6

109.2
95.4
104.9
97.8
93.3
92.3
95.4
113.1
103.8
101.0
100.4
117.5
101.4
91.3
105.0
118.4
126.8
120.6
106.9

109.4
95.4
106.2
98.4
93.0
91.8
95.4
113.3
104.3
101.6
100.9
117.6
101.0
91.2
105.1
118.9
127.0
121.2
107.1

0.2
0.0
1.2
0.6
-0.3
-0.5
0.0
0.2
0.5
0.6
0.5
0.1
-0.4
-0.1
0.1
0.4
0.2
0.5
0.2

1

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Percent
change
from:
Apr.
2018 May
2018p

134.1
114.3
123.2
116.8
112.1
110.6
115.5
139.9
125.4
125.2
119.5
137.7
129.6
125.4
132.7
147.7
156.5
148.3
137.4

139.7
119.6
136.0
124.1
116.1
114.6
119.3
146.1
129.6
128.6
123.3
144.5
134.2
126.7
141.2
154.2
163.3
154.1
141.9

140.1
120.9
137.1
126.0
116.8
115.7
119.2
146.0
129.4
127.5
123.3
144.8
135.2
127.8
140.5
154.4
163.4
154.3
142.6

140.8
121.0
138.7
126.8
116.4
115.2
119.2
146.6
130.4
129.0
124.3
145.0
133.9
128.0
142.6
155.1
164.3
155.1
143.1

0.5
0.1
1.2
0.6
-0.3
-0.4
0.0
0.4
0.8
1.2
0.8
0.1
-1.0
0.2
1.5
0.5
0.6
0.5
0.4

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
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............................................ .

72,476
59,684
4,385
92
874
3,419
1,805
1,614
55,299
11,058
1,737.4
7,937.7
1,255.8
127.4
1,113
4,766
9,186
17,808
8,324
3,044
12,792

73,522
60,676
4,520
93
916
3,511
1,850
1,661
56,156
11,126
1,773.3
7,928.3
1,295.9
128.1
1,093
4,822
9,406
18,092
8,522
3,095
12,846

73,626
60,778
4,533
93
918
3,522
1,855
1,667
56,245
11,132
1,769.2
7,937.3
1,296.8
128.7
1,092
4,830
9,437
18,116
8,539
3,099
12,848

73,801
60,930
4,551
94
920
3,537
1,858
1,679
56,379
11,149
1,767.3
7,952.1
1,300.8
128.6
1,098
4,836
9,460
18,157
8,563
3,116
12,871

49.5
48.1
21.9
13.6
12.6
27.5
23.4
34.4
53.2
40.3
29.5
50.1
24.4
23.0
39.8
56.5
45.0
77.0
52.0
52.8
57.4

49.6
48.2
22.0
12.9
12.8
27.8
23.5
35.0
53.3
40.1
29.7
49.8
24.5
23.1
39.5
56.4
45.2
77.0
52.4
53.0
57.5

49.6
48.2
22.0
12.8
12.8
27.8
23.5
35.1
53.3
40.1
29.7
49.8
24.5
23.2
39.4
56.5
45.2
77.0
52.5
53.0
57.6

49.6
48.2
22.1
12.8
12.8
27.9
23.5
35.3
53.3
40.1
29.7
49.8
24.5
23.2
39.6
56.5
45.3
77.1
52.6
53.2
57.7

p Preliminary
NOTE: Data have been revised to reflect March 2017 benchmark levels and updated seasonal adjustment factors.

ESTABLISHMENT DATA
Table B-6. Employment of production and nonsupervisory employees on private nonfarm payrolls by industry
sector, seasonally adjusted1
[In thousands]
Industry

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Construction......................................................................... .
Manufacturing....................................................................... .
Durable goods.................................................................... .
Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Trade, transportation, and utilities. . . . . . . . . . . . . . . . . . . . . . .......................... .
Wholesale trade.................................................................. .
Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Transportation and warehousing............................................... .
Utilities............................................................................. .
Information........................................................................... .
Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Professional and business services.............................................. .
Education and health services.................................................... .
Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Other services....................................................................... .

102,186
14,402
490
5,200
8,712
5,296
3,416
87,784
23,109
4,720.1
13,472.0
4,472.0
445.1
2,252
6,555
16,687
20,305
14,104
4,772

103,768
14,758
536
5,359
8,863
5,417
3,446
89,010
23,438
4,784.5
13,615.0
4,593.1
445.1
2,223
6,628
16,956
20,638
14,299
4,828

103,897
14,796
542
5,367
8,887
5,439
3,448
89,101
23,443
4,770.4
13,628.3
4,598.9
445.4
2,230
6,624
16,997
20,665
14,301
4,841

104,064
14,838
546
5,390
8,902
5,454
3,448
89,226
23,475
4,774.8
13,644.2
4,610.9
445.0
2,233
6,626
17,037
20,690
14,319
4,846

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
May
2017

Mar.
2018

Apr.
2018p

May
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
41.3
46.1
39.9
41.9
42.4
41.1
32.4
33.7
38.9
30.1
38.3
42.3
35.8
37.0
35.4
32.2
24.8
30.7

33.7
41.6
47.0
40.0
42.2
42.5
41.7
32.4
33.9
38.9
30.4
38.2
42.8
35.9
36.9
35.3
32.3
24.9
30.7

33.8
41.8
47.1
40.2
42.4
42.7
41.9
32.4
33.9
38.9
30.3
38.3
43.0
35.9
37.0
35.3
32.3
24.9
30.7

33.8
41.7
47.7
40.3
42.2
42.3
41.9
32.5
33.9
39.0
30.4
38.2
42.8
35.6
37.0
35.3
32.3
24.9
30.7

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

4.3
4.4
4.1

4.6
4.7
4.5

4.8
4.9
4.6

4.6
4.6
4.5

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

May
2017

Mar.
2018

Apr.
2018p

May
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

$21.98
23.05
27.26
26.54
20.80
21.78
19.22
21.75
19.28
24.59
15.26
21.23
36.18
30.70
26.48
25.90
23.00
13.37
19.94

$22.46
23.72
27.83
27.36
21.36
22.29
19.88
22.19
19.68
24.87
15.69
21.74
36.80
31.49
26.84
26.49
23.43
13.68
20.49

$22.52
23.81
27.94
27.49
21.43
22.39
19.89
22.24
19.76
24.91
15.81
21.79
36.47
31.29
26.89
26.54
23.45
13.73
20.53

$22.59
23.83
28.01
27.50
21.41
22.36
19.91
22.32
19.87
25.11
15.93
21.79
36.53
31.73
26.95
26.60
23.54
13.78
20.56

$738.53
951.97
1,256.69
1,058.95
871.52
923.47
789.94
704.70
649.74
956.55
459.33
813.11
1,530.41
1,099.06
979.76
916.86
740.60
331.58
612.16

$756.90
986.75
1,308.01
1,094.40
901.39
947.33
829.00
718.96
667.15
967.44
476.98
830.47
1,575.04
1,130.49
990.40
935.10
756.79
340.63
629.04

$761.18
995.26
1,315.97
1,105.10
908.63
956.05
833.39
720.58
669.86
969.00
479.04
834.56
1,568.21
1,123.31
994.93
936.86
757.44
341.88
630.27

$763.54
993.71
1,336.08
1,108.25
903.50
945.83
834.23
725.40
673.59
979.29
484.27
832.38
1,563.48
1,129.59
997.15
938.98
760.34
343.12
631.19

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

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Percent
change
from:
Apr.
2018 May
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . .

114.4
90.9
120.0
103.9
83.8
84.4
82.7
121.1
108.6
108.1
102.6
128.9
96.3
92.0
114.2
132.4
139.4
128.1
102.7

116.5
93.8
133.9
107.3
85.9
86.5
84.7
122.8
110.8
109.6
104.8
132.1
97.4
91.1
115.1
134.1
142.1
130.4
103.9

117.0
94.5
135.7
108.0
86.5
87.3
85.1
122.9
110.8
109.3
104.5
132.6
97.9
91.4
115.4
134.5
142.3
130.4
104.2

117.2
94.6
138.4
108.8
86.2
86.7
85.1
123.5
110.9
109.7
105.0
132.6
97.4
90.7
115.4
134.8
142.5
130.6
104.3

0.2
0.1
2.0
0.7
-0.3
-0.7
0.0
0.5
0.1
0.4
0.5
0.0
-0.5
-0.8
0.0
0.2
0.1
0.2
0.1

1

May
2017

Mar.
2018

Apr.
2018p

May
2018p

Percent
change
from:
Apr.
2018 May
2018p

168.0
128.3
190.3
148.9
114.0
114.8
112.4
180.7
149.3
156.6
134.2
173.6
145.4
139.8
186.0
204.0
211.6
194.5
149.3

174.9
136.3
216.7
158.6
119.9
120.4
118.9
186.9
155.5
160.6
140.9
182.1
149.6
142.0
190.1
211.5
219.8
202.6
155.2

176.1
137.8
220.4
160.4
121.2
122.0
119.6
187.5
156.2
160.4
141.6
183.3
149.1
141.5
190.9
212.4
220.3
203.4
155.9

176.9
138.0
225.5
161.5
120.7
121.0
119.8
189.0
157.3
162.2
143.3
183.3
148.5
142.5
191.4
213.4
221.4
204.4
156.3

0.5
0.1
2.3
0.7
-0.4
-0.8
0.2
0.8
0.7
1.1
1.2
0.0
-0.4
0.7
0.3
0.5
0.5
0.5
0.3

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.