Employment Situation News Release

Transmission of material in this release is embargoed until                 USDL-18-0154
8:30 a.m. (EST) Friday, February 2, 2018

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 -- JANUARY 2018


Total nonfarm payroll employment increased by 200,000 in January, and the unemployment
rate was unchanged at 4.1 percent, the U.S. Bureau of Labor Statistics reported today.
Employment continued to trend up in construction, food services and drinking places,
health care, and manufacturing.

    _______________________________________________________________________
   |                                                                       |
   |                  Changes to The Employment Situation Data             |
   |                                                                       |
   |Establishment survey data have been revised as a result of the annual  |
   |benchmarking process and the updating of seasonal adjustment factors.  |
   |Also, household survey data for January 2018 reflect updated population|
   |estimates. See the notes at the end of this news release for more      |
   |information about these changes.                                       |
   |_______________________________________________________________________|


Household Survey Data

In January, the unemployment rate was 4.1 percent for the fourth consecutive month. The
number of unemployed persons, at 6.7 million, changed little over the month. (See
table A-1. For information about annual population adjustments to the household survey
estimates, see the note at the end of this news release and tables B and C.)

Among the major worker groups, the unemployment rate for Blacks increased to 7.7 percent
in January, and the rate for Whites edged down to 3.5 percent. The jobless rates for
adult men (3.9 percent), adult women (3.6 percent), teenagers (13.9 percent), Asians
(3.0 percent), and Hispanics (5.0 percent) showed little change. (See tables A-1, A-2,
and A-3.)

The number of long-term unemployed (those jobless for 27 weeks or more) was little
changed at 1.4 million in January and accounted for 21.5 percent of the unemployed.
(See table A-12.)

The civilian labor force and total employment, as measured by the household survey,
changed little in January (after accounting for the annual adjustments to the
population controls). The labor force participation rate was 62.7 percent for the
fourth consecutive month and the employment-population ratio was 60.1 percent for the
third month in a row. (See table A-1. For additional information about the effects of
the population adjustments, see table C.)

The number of persons employed part time for economic reasons (sometimes referred to as
involuntary part-time workers) was essentially unchanged at 5.0 million in January.
These individuals, who would have preferred full-time employment, were working part time
because their hours had been cut back or because they were unable to find a full-time
job. (See table A-8.)

In January, 1.7 million persons were marginally attached to the labor force, little
changed from a year earlier. (The data are not seasonally adjusted.) These individuals
were not in the labor force, wanted and were available for work, and had looked for a
job sometime in the prior 12 months. They were not counted as unemployed because they
had not searched for work in the 4 weeks preceding the survey. (See table A-16.)

Among the marginally attached, there were 451,000 discouraged workers in January, little
changed from a year earlier. (The data are not seasonally adjusted.) Discouraged workers
are persons not currently looking for work because they believe no jobs are available
for them. The remaining 1.2 million persons marginally attached to the labor force in
January had not searched for work for reasons such as school attendance or family
responsibilities. (See table A-16.)

Establishment Survey Data

Total nonfarm payroll employment rose by 200,000 in January. Employment continued to trend
up in construction, food services and drinking places, health care, and manufacturing.
(See table B-1. For information about the annual benchmark process, see the note and
table A.)

Construction added 36,000 jobs in January, with most of the increase occurring among
specialty trade contractors (+26,000). Employment in residential building construction
continued to trend up over the month (+5,000). Over the year, construction employment
has increased by 226,000.

Employment in food services and drinking places continued to trend up in January
(+31,000). The industry has added 255,000 jobs over the past 12 months.

Employment in health care continued to trend up in January (+21,000), with a gain of
13,000 in hospitals. In 2017, health care added an average of 24,000 jobs per month.

In January, employment in manufacturing remained on an upward trend (+15,000). Durable
goods industries added 18,000 jobs. Manufacturing has added 186,000 jobs over the past
12 months.

Employment in other major industries, including mining, wholesale trade, retail trade,
transportation and warehousing, information, financial activities, professional and
business services, and government, changed little over the month.

The average workweek for all employees on private nonfarm payrolls declined by 0.2 hour
to 34.3 hours in January. In manufacturing, the workweek declined by 0.2 hour to 40.6
hours, while overtime remained at 3.5 hours. The average workweek for production and
nonsupervisory employees on private nonfarm payrolls edged down by 0.1 hour to 33.6
hours. (See tables B-2 and B-7.)

In January, average hourly earnings for all employees on private nonfarm payrolls rose
by 9 cents to $26.74, following an 11-cent gain in December. Over the year, average
hourly earnings have risen by 75 cents, or 2.9 percent. Average hourly earnings of
private-sector production and nonsupervisory employees increased by 3 cents to $22.34
in January. (See tables B-3 and B-8.)

The change in total nonfarm payroll employment for November was revised down from
+252,000 to +216,000, and the change for December was revised up from +148,000 to
+160,000. With these revisions, employment gains in November and December combined
were 24,000 less than previously reported. (Monthly revisions result from additional
reports received from businesses and government agencies since the last published
estimates and from the recalculation of seasonal factors. The annual benchmark process
also contributed to the November and December revisions.) After revisions, job gains
have averaged 192,000 over the last 3 months.

_____________
The Employment Situation for February is scheduled to be released on Friday,
March 9, 2018, at 8:30 a.m. (EST).


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


                            Revisions to Establishment Survey Data                    
                                                                
                                                                
In accordance with annual practice, the establishment survey data released today have
been benchmarked to reflect comprehensive counts of payroll jobs for March 2017. These
counts are derived principally from the Quarterly Census of Employment and Wages (QCEW),
which counts jobs covered by the Unemployment Insurance (UI) tax system.

In addition, the data were updated to the 2017 North American Industry Classification
System (NAICS) from the 2012 NAICS. This update resulted in minor changes to several
detailed industries. The normal benchmark process revises not seasonally adjusted data
from April 2016 forward and seasonally adjusted data from January 2013 forward. However,
some data were also revised further back in their history than normal due to the
implementation of 2017 NAICS and other minor technical changes related to rounding and
re-aggregation of some series.

The total nonfarm employment level for March 2017 was revised upward by 146,000 (+138,000
on a not seasonally adjusted basis, or +0.1 percent). On a not seasonally adjusted basis,
the average absolute benchmark revision over the past 10 years is 0.2 percent.

The effect of these revisions on the underlying trend in nonfarm payroll employment
was minor. For example, the over-the-year change in total nonfarm employment for 2017
was revised from +2,055,000 to +2,173,000 (seasonally adjusted). Table A presents
revised total nonfarm employment data on a seasonally adjusted basis from January to
December 2017.

All revised historical establishment survey data are available on the BLS website at
www.bls.gov/ces/data.htm. In addition, an article that discusses the benchmark and
post-benchmark revisions and other technical issues is available at
www.bls.gov/web/empsit/cesbmart.htm.


Table A. Revisions in total nonfarm employment, January-December 2017, seasonally
adjusted
(Numbers in thousands)
---------------------------------------------------------------------------------------
                 |                                    |                                
                 |                Level               |      Over-the-month change     
                 |---------------------------------------------------------------------
 Year and month  |    As     |           |            |    As    |         |           
                 |previously |    As     | Difference |previously|   As    | Difference
                 |published  |  revised  |            |published | revised |           
---------------------------------------------------------------------------------------
                 |           |           |            |          |         |           
          2017   |           |           |            |          |         |           
                 |           |           |            |          |         |           
 January.........|  145,541  |  145,696  |     155    |    216   |    259  |      43   
 February........|  145,773  |  145,896  |     123    |    232   |    200  |     -32   
 March...........|  145,823  |  145,969  |     146    |     50   |     73  |      23   
 April...........|  146,030  |  146,144  |     114    |    207   |    175  |     -32   
 May.............|  146,175  |  146,299  |     124    |    145   |    155  |      10   
 June............|  146,385  |  146,538  |     153    |    210   |    239  |      29   
 July............|  146,523  |  146,728  |     205    |    138   |    190  |      52   
 August..........|  146,731  |  146,949  |     218    |    208   |    221  |      13   
 September.......|  146,769  |  146,963  |     194    |     38   |     14  |     -24   
 October.........|  146,980  |  147,234  |     254    |    211   |    271  |      60   
 November........|  147,232  |  147,450  |     218    |    252   |    216  |     -36   
 December (p)....|  147,380  |  147,610  |     230    |    148   |    160  |      12   
---------------------------------------------------------------------------------------
 
 (p) = preliminary.


                  Adjustments to Population Estimates for the Household Survey


Effective with data for January 2018, updated population estimates were incorporated into
the household survey. Population estimates for the household survey are developed by the
U.S. Census Bureau. Each year, the Census Bureau updates the estimates to reflect new
information and assumptions about the growth of the population since the previous
decennial census. The change in population reflected in the new estimates results from
adjustments for net international migration, updated vital statistics, and estimation
methodology improvements.

In accordance with usual practice, BLS will not revise the official household survey
estimates for December 2017 and earlier months. To show the impact of the population
adjustments, however, differences in selected December 2017 labor force series based on
the old and new population estimates are shown in table B.

The adjustments increased the estimated size of the civilian noninstitutional population
in December by 488,000, the civilian labor force by 333,000, employment by 318,000, and
unemployment by 15,000. The number of persons not in the labor force was increased by
154,000. The total unemployment rate, employment-population ratio, and labor force
participation rate were unaffected.

Data users are cautioned that these annual population adjustments can affect the
comparability of household data series over time. Table C shows the effect of the
introduction of new population estimates on the comparison of selected labor force
measures between December 2017 and January 2018. Additional information on the
population adjustments and their effect on national labor force estimates is available
at www.bls.gov/web/empsit/cps-pop-control-adjustments.pdf


Table B. Effect of the updated population controls on December 2017 estimates by sex,
race, and Hispanic or Latino ethnicity, not seasonally adjusted
(Numbers in thousands)
______________________________________________________________________________________
                              |      |     |      |       |        |      |           
                              |      |     |      |       |  Black |      |           
                              |      |     |      |       |    or  |      |  Hispanic 
            Category          |Total | Men | Women| White | African| Asian| or Latino 
                              |      |     |      |       |American|      | ethnicity 
                              |      |     |      |       |        |      |           
______________________________|______|_____|______|_______|________|______|___________
                              |      |     |      |       |        |      |           
  Civilian noninstitutional   |      |     |      |       |        |      |           
   population.................|  488 | 296 |  192 |  194  |   104  |  171 |     328   
    Civilian labor force......|  333 | 228 |  106 |  141  |    70  |  111 |     242   
      Participation rate......|  0.0 | 0.1 |  0.0 |  0.0  |   0.0  |  0.1 |     0.0   
     Employed.................|  318 | 219 |  100 |  132  |    66  |  109 |     230   
      Employment-population   |      |     |      |       |        |      |           
       ratio..................|  0.0 | 0.0 |  0.0 |  0.0  |   0.1  |  0.0 |     0.1   
     Unemployed...............|   15 |   9 |    5 |    8  |     3  |    2 |      12   
      Unemployment rate.......|  0.0 | 0.0 |  0.0 |  0.0  |   0.0  |  0.0 |     0.0   
    Not in labor force........|  154 |  67 |   86 |   54  |    35  |   60 |      86   
______________________________________________________________________________________

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


Table C. December 2017-January 2018 changes in selected labor force measures,
with adjustments for population control effects
(Numbers in thousands)
______________________________________________________________________________
                                       |           |            |             
                                       |           |            |  Dec.-Jan.  
                                       | Dec.-Jan. |    2018    |   change,   
                                       |  change,  | population |   after     
                Category               |    as     |   control  | removing the
                                       | published |   effect   |  population 
                                       |           |            |   control   
                                       |           |            |  effect (1) 
_______________________________________|___________|____________|_____________
                                       |           |            |             
  Civilian noninstitutional population.|    671    |    488     |      183    
    Civilian labor force...............|    518    |    333     |      185    
      Participation rate...............|    0.0    |    0.0     |      0.0    
     Employed..........................|    409    |    318     |       91    
      Employment-population ratio......|    0.0    |    0.0     |      0.0    
     Unemployed........................|    108    |     15     |       93    
      Unemployment rate................|    0.0    |    0.0     |      0.0    
    Not in labor force.................|    153    |    154     |       -1    
                                       |           |            |             
______________________________________________________________________________
                                                                              
   1 This Dec.-Jan. change is calculated by subtracting the population 
control effect from the over-the-month change in the published seasonally
adjusted estimates.
   NOTE: Detail may not sum to totals because of rounding.




HOUSEHOLD DATA
Summary table A. Household data, seasonally adjusted
[Numbers in thousands]
Category Jan.
2017
Nov.
2017
Dec.
2017
Jan.
2018
Change from:
Dec.
2017-
Jan.
2018

Employment status

Civilian noninstitutional population

254,082 255,949 256,109 256,780 -

Civilian labor force

159,718 160,533 160,597 161,115 -

Participation rate

62.9 62.7 62.7 62.7 -

Employed

152,076 153,917 154,021 154,430 -

Employment-population ratio

59.9 60.1 60.1 60.1 -

Unemployed

7,642 6,616 6,576 6,684 -

Unemployment rate

4.8 4.1 4.1 4.1 -

Not in labor force

94,364 95,416 95,512 95,665 -

Unemployment rates

Total, 16 years and over

4.8 4.1 4.1 4.1 -

Adult men (20 years and over)

4.4 3.7 3.8 3.9 -

Adult women (20 years and over)

4.4 3.6 3.7 3.6 -

Teenagers (16 to 19 years)

15.0 15.9 13.6 13.9 -

White

4.3 3.7 3.7 3.5 -

Black or African American

7.8 7.2 6.8 7.7 -

Asian

3.8 3.0 2.5 3.0 -

Hispanic or Latino ethnicity

5.9 4.8 4.9 5.0 -

Total, 25 years and over

3.9 3.3 3.4 3.4 -

Less than a high school diploma

7.3 5.2 6.3 5.4 -

High school graduates, no college

5.2 4.3 4.2 4.5 -

Some college or associate degree

3.8 3.6 3.6 3.4 -

Bachelor's degree and higher

2.5 2.1 2.1 2.1 -

Reason for unemployment

Job losers and persons who completed temporary jobs

3,700 3,149 3,254 3,273 -

Job leavers

862 739 715 716 -

Reentrants

2,152 2,025 2,003 1,958 -

New entrants

803 697 581 645 -

Duration of unemployment

Less than 5 weeks

2,452 2,253 2,235 2,280 -

5 to 14 weeks

2,081 1,894 1,994 1,943 -

15 to 26 weeks

1,229 921 882 981 -

27 weeks and over

1,825 1,593 1,515 1,421 -

Employed persons at work part time

Part time for economic reasons

5,776 4,851 4,915 4,989 -

Slack work or business conditions

3,561 2,995 3,097 3,009 -

Could only find part-time work

1,934 1,558 1,570 1,663 -

Part time for noneconomic reasons

20,444 21,022 21,122 20,867 -

Persons not in the labor force (not seasonally adjusted)

Marginally attached to the labor force

1,752 1,481 1,623 1,653 -

Discouraged workers

532 469 474 451 -

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


ESTABLISHMENT DATA
Summary table B. Establishment data, seasonally adjusted
Category Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

EMPLOYMENT BY SELECTED INDUSTRY
(Over-the-month change, in thousands)

Total nonfarm

259 216 160 200

Total private

252 217 166 196

Goods-producing

69 78 55 57

Mining and logging

0 6 1 6

Construction

51 42 33 36

Manufacturing

18 30 21 15

Durable goods(1)

8 27 18 18

Motor vehicles and parts

3.9 3.3 1.6 -0.3

Nondurable goods

10 3 3 -3

Private service-providing

183 139 111 139

Wholesale trade

5.1 10.0 10.1 9.8

Retail trade

22.4 27.2 -25.6 15.4

Transportation and warehousing

-0.1 12.1 11.6 11.1

Utilities

-0.6 0.1 0.3 -1.4

Information

-2 -4 -1 -6

Financial activities

28 9 6 9

Professional and business services(1)

27 16 25 23

Temporary help services

0.0 7.1 -1.5 1.8

Education and health services(1)

35 38 39 38

Health care and social assistance

28.8 27.8 35.6 25.8

Leisure and hospitality

53 20 37 35

Other services

16 11 8 6

Government

7 -1 -6 4

(3-month average change, in thousands)

Total nonfarm

204 167 216 192

Total private

199 170 220 193

WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES
AS A PERCENT OF ALL EMPLOYEES(2)

Total nonfarm women employees

49.6 49.5 49.5 49.5

Total private women employees

48.2 48.1 48.1 48.1

Total private production and nonsupervisory employees

82.4 82.4 82.4 82.4

HOURS AND EARNINGS
ALL EMPLOYEES

Total private

Average weekly hours

34.4 34.5 34.5 34.3

Average hourly earnings

$25.99 $26.54 $26.65 $26.74

Average weekly earnings

$894.06 $915.63 $919.43 $917.18

Index of aggregate weekly hours (2007=100)(3)

106.5 108.3 108.5 108.0

Over-the-month percent change

0.2 0.5 0.2 -0.5

Index of aggregate weekly payrolls (2007=100)(4)

132.4 137.5 138.2 138.1

Over-the-month percent change

0.4 0.7 0.5 -0.1

DIFFUSION INDEX
(Over 1-month span)(5)

Total private (258 industries)

61.0 66.1 65.5 57.9

Manufacturing (76 industries)

50.0 63.2 60.5 53.9

Footnotes
(1) Includes other industries, not shown separately.
(2) 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.


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 nonsupervisory employees in private service-providing industries.

   Industries are classified on the basis of an establishment's principal
activity in accordance with the 2017 version of the North American Industry
Classification System. Additional information about the establishment survey
can be found at https://www.bls.gov/ces/.

   Differences in employment estimates. The numerous conceptual and methodological
differences between the household and establishment  surveys result in important
distinctions in the employment estimates derived from the surveys. Among these are:

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

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

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

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

Seasonal adjustment

   Over the course of a year, the size of the nation's labor force and the levels
of employment and unemployment undergo regularly occurring fluctuations. These 
events may result from seasonal changes in weather, major holidays, and the opening
and closing of schools. The effect of such seasonal variation can be very large.

   Because these seasonal events follow a more or less regular pattern each year,
their influence on the level of a series can be tempered by adjusting for regular
seasonal variation. These adjustments make nonseasonal developments, such as
declines in employment or increases in the participation of women in the labor
force, easier to spot. For example, in the household survey, the large number of
youth entering the labor force each June is likely to obscure any other changes
that have taken place relative to May, making it difficult to determine if the 
level of economic activity has risen or declined. Similarly, in the establishment
survey, payroll employment in education declines by about 20 percent at the end
of the spring term and later rises with the start of the fall term, obscuring the
underlying employment trends in the industry. Because seasonal employment changes
at the end and beginning of the school year can be estimated, the statistics can be
adjusted to make underlying employment patterns more discernable.  The seasonally
adjusted figures provide a more useful tool with which to analyze changes in
month-to-month economic activity.

   Many seasonally adjusted series are independently adjusted in both the household
and establishment surveys. However, the adjusted series for many major estimates,
such as total payroll employment, employment in most major sectors, total employment,
and unemployment are computed by aggregating independently adjusted component series.
For example, total unemployment is derived by summing the adjusted series for four
major age-sex components; this differs from the unemployment estimate that would be
obtained by directly adjusting the total or by combining
the duration, reasons, or more detailed age categories.

   For both the household and establishment surveys, a concurrent seasonal adjustment
methodology is used in which new seasonal factors are calculated each month using all
relevant data, up to and including the data for the current month. In the household
survey, new seasonal factors are used to adjust only the current month's data. In the
establishment survey, however, new seasonal factors are used each month to adjust the
three most recent monthly estimates. The prior 2 months are routinely revised to
incorporate additional sample reports and recalculated seasonal adjustment factors.
In both surveys, 5-year revisions to historical data are made once a year.

Reliability of the estimates

   Statistics based on the household and establishment surveys are subject to both
sampling and nonsampling error. When a sample, rather than the entire population,
is surveyed, there is a chance that the sample estimates may differ from the true
population values they represent. The component of this difference that occurs
because samples differ by chance is known as sampling error, and its variability
is measured by the standard error of the estimate. There is about a 90-percent
chance, or level of confidence, that an estimate based on a sample will differ by
no more than 1.6 standard errors from the true population value because of sampling
error. BLS analyses are generally conducted at the 90-percent level of confidence.

   For example, the confidence interval for the monthly change in total nonfarm
employment from the establishment survey is on the order of plus or minus 120,000.
Suppose the estimate of nonfarm employment increases by 50,000 from one month to
the next. The 90-percent confidence interval on the monthly change would range from
-70,000 to +170,000 (50,000 +/- 120,000). These figures do not mean that the sample
results are off by these magnitudes, but rather that there is about a 90-percent
chance that the true over-the-month 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 sample-based 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]
Employment status, sex, and age Not seasonally adjusted Seasonally adjusted(1)
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

TOTAL

Civilian noninstitutional population

254,082 256,109 256,780 254,082 255,562 255,766 255,949 256,109 256,780

Civilian labor force

158,676 159,880 160,037 159,718 161,082 160,371 160,533 160,597 161,115

Participation rate

62.5 62.4 62.3 62.9 63.0 62.7 62.7 62.7 62.7

Employed

150,527 153,602 152,848 152,076 154,324 153,846 153,917 154,021 154,430

Employment-population ratio

59.2 60.0 59.5 59.9 60.4 60.2 60.1 60.1 60.1

Unemployed

8,149 6,278 7,189 7,642 6,759 6,524 6,616 6,576 6,684

Unemployment rate

5.1 3.9 4.5 4.8 4.2 4.1 4.1 4.1 4.1

Not in labor force

95,406 96,230 96,743 94,364 94,480 95,395 95,416 95,512 95,665

Persons who currently want a job

5,934 5,071 5,364 5,719 5,626 5,232 5,265 5,308 5,171

Men, 16 years and over

Civilian noninstitutional population

122,781 123,786 124,173 122,781 123,516 123,617 123,707 123,786 124,173

Civilian labor force

84,234 84,831 85,125 85,048 85,519 85,247 85,221 85,354 85,931

Participation rate

68.6 68.5 68.6 69.3 69.2 69.0 68.9 69.0 69.2

Employed

79,721 81,300 81,046 80,973 81,902 81,667 81,666 81,821 82,274

Employment-population ratio

64.9 65.7 65.3 65.9 66.3 66.1 66.0 66.1 66.3

Unemployed

4,514 3,531 4,079 4,075 3,617 3,580 3,555 3,533 3,658

Unemployment rate

5.4 4.2 4.8 4.8 4.2 4.2 4.2 4.1 4.3

Not in labor force

38,546 38,955 39,048 37,732 37,996 38,370 38,486 38,432 38,242

Men, 20 years and over

Civilian noninstitutional population

114,297 115,292 115,669 114,297 115,020 115,120 115,212 115,292 115,669

Civilian labor force

81,551 82,193 82,431 82,051 82,561 82,366 82,375 82,548 82,928

Participation rate

71.4 71.3 71.3 71.8 71.8 71.5 71.5 71.6 71.7

Employed

77,483 79,025 78,761 78,448 79,393 79,248 79,324 79,431 79,705

Employment-population ratio

67.8 68.5 68.1 68.6 69.0 68.8 68.9 68.9 68.9

Unemployed

4,068 3,168 3,670 3,603 3,168 3,118 3,050 3,117 3,223

Unemployment rate

5.0 3.9 4.5 4.4 3.8 3.8 3.7 3.8 3.9

Not in labor force

32,746 33,099 33,238 32,246 32,459 32,755 32,837 32,745 32,741

Women, 16 years and over

Civilian noninstitutional population

131,301 132,323 132,607 131,301 132,047 132,149 132,242 132,323 132,607

Civilian labor force

74,441 75,048 74,912 74,670 75,563 75,124 75,312 75,243 75,183

Participation rate

56.7 56.7 56.5 56.9 57.2 56.8 57.0 56.9 56.7

Employed

70,806 72,301 71,802 71,103 72,422 72,179 72,251 72,200 72,157

Employment-population ratio

53.9 54.6 54.1 54.2 54.8 54.6 54.6 54.6 54.4

Unemployed

3,635 2,747 3,110 3,567 3,142 2,945 3,061 3,043 3,027

Unemployment rate

4.9 3.7 4.2 4.8 4.2 3.9 4.1 4.0 4.0

Not in labor force

56,860 57,275 57,695 56,631 56,484 57,026 56,930 57,080 57,423

Women, 20 years and over

Civilian noninstitutional population

123,052 124,057 124,328 123,052 123,781 123,882 123,975 124,057 124,328

Civilian labor force

71,663 72,237 72,095 71,720 72,497 72,187 72,302 72,293 72,210

Participation rate

58.2 58.2 58.0 58.3 58.6 58.3 58.3 58.3 58.1

Employed

68,423 69,775 69,378 68,572 69,692 69,576 69,665 69,614 69,583

Employment-population ratio

55.6 56.2 55.8 55.7 56.3 56.2 56.2 56.1 56.0

Unemployed

3,240 2,462 2,717 3,148 2,804 2,611 2,637 2,679 2,627

Unemployment rate

4.5 3.4 3.8 4.4 3.9 3.6 3.6 3.7 3.6

Not in labor force

51,389 51,820 52,234 51,331 51,284 51,696 51,673 51,764 52,118

Both sexes, 16 to 19 years

Civilian noninstitutional population

16,734 16,760 16,783 16,734 16,761 16,763 16,762 16,760 16,783

Civilian labor force

5,462 5,449 5,511 5,947 6,024 5,818 5,857 5,757 5,977

Participation rate

32.6 32.5 32.8 35.5 35.9 34.7 34.9 34.4 35.6

Employed

4,620 4,801 4,709 5,056 5,238 5,022 4,928 4,977 5,143

Employment-population ratio

27.6 28.6 28.1 30.2 31.3 30.0 29.4 29.7 30.6

Unemployed

842 648 802 891 786 796 929 780 834

Unemployment rate

15.4 11.9 14.6 15.0 13.0 13.7 15.9 13.6 13.9

Not in labor force

11,272 11,311 11,271 10,786 10,737 10,945 10,906 11,003 10,806

Footnotes
(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]
Employment status, race, sex, and age Not seasonally adjusted Seasonally adjusted(1)
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

WHITE

Civilian noninstitutional population

198,453 199,458 199,738 198,453 199,191 199,298 199,386 199,458 199,738

Civilian labor force

123,921 124,594 124,547 124,658 125,397 124,757 125,110 125,200 125,334

Participation rate

62.4 62.5 62.4 62.8 63.0 62.6 62.7 62.8 62.7

Employed

118,097 120,148 119,640 119,324 120,754 120,400 120,514 120,551 120,886

Employment-population ratio

59.5 60.2 59.9 60.1 60.6 60.4 60.4 60.4 60.5

Unemployed

5,824 4,446 4,907 5,335 4,643 4,356 4,596 4,649 4,447

Unemployment rate

4.7 3.6 3.9 4.3 3.7 3.5 3.7 3.7 3.5

Not in labor force

74,532 74,864 75,191 73,794 73,794 74,541 74,276 74,258 74,405

Men, 20 years and over

Civilian labor force

64,905 65,263 65,344 65,274 65,348 65,244 65,394 65,511 65,732

Participation rate

71.6 71.6 71.5 72.0 71.8 71.6 71.7 71.8 71.9

Employed

61,910 62,964 62,743 62,696 63,159 63,155 63,282 63,307 63,510

Employment-population ratio

68.3 69.0 68.6 69.1 69.4 69.3 69.4 69.4 69.5

Unemployed

2,995 2,299 2,601 2,578 2,189 2,090 2,112 2,204 2,222

Unemployment rate

4.6 3.5 4.0 4.0 3.3 3.2 3.2 3.4 3.4

Women, 20 years and over

Civilian labor force

54,844 55,061 54,873 54,839 55,447 55,014 55,147 55,161 54,896

Participation rate

57.5 57.4 57.2 57.5 57.9 57.4 57.5 57.5 57.2

Employed

52,582 53,356 53,129 52,679 53,538 53,298 53,342 53,275 53,255

Employment-population ratio

55.1 55.6 55.3 55.2 55.9 55.6 55.6 55.5 55.5

Unemployed

2,262 1,705 1,744 2,160 1,909 1,715 1,805 1,886 1,641

Unemployment rate

4.1 3.1 3.2 3.9 3.4 3.1 3.3 3.4 3.0

Both sexes, 16 to 19 years

Civilian labor force

4,171 4,270 4,330 4,545 4,602 4,499 4,569 4,528 4,705

Participation rate

33.8 34.6 35.1 36.8 37.3 36.5 37.0 36.7 38.1

Employed

3,604 3,828 3,768 3,949 4,057 3,947 3,891 3,970 4,121

Employment-population ratio

29.2 31.0 30.5 32.0 32.9 32.0 31.5 32.2 33.4

Unemployed

567 442 562 596 545 552 678 559 584

Unemployment rate

13.6 10.4 13.0 13.1 11.8 12.3 14.8 12.3 12.4

BLACK OR AFRICAN AMERICAN

Civilian noninstitutional population

32,063 32,436 32,575 32,063 32,333 32,370 32,404 32,436 32,575

Civilian labor force

19,830 20,050 20,109 19,991 20,254 20,134 20,175 20,153 20,211

Participation rate

61.8 61.8 61.7 62.3 62.6 62.2 62.3 62.1 62.0

Employed

18,262 18,791 18,507 18,436 18,838 18,654 18,718 18,790 18,663

Employment-population ratio

57.0 57.9 56.8 57.5 58.3 57.6 57.8 57.9 57.3

Unemployed

1,569 1,260 1,602 1,555 1,416 1,479 1,457 1,362 1,548

Unemployment rate

7.9 6.3 8.0 7.8 7.0 7.3 7.2 6.8 7.7

Not in labor force

12,232 12,385 12,466 12,072 12,079 12,236 12,230 12,283 12,364

Men, 20 years and over

Civilian labor force

9,028 9,128 9,196 9,098 9,294 9,218 9,225 9,178 9,254

Participation rate

67.5 67.3 67.5 68.0 68.8 68.2 68.1 67.7 67.9

Employed

8,318 8,537 8,457 8,425 8,668 8,539 8,552 8,576 8,564

Employment-population ratio

62.2 63.0 62.1 63.0 64.2 63.1 63.1 63.2 62.9

Unemployed

710 591 739 673 626 679 673 601 690

Unemployment rate

7.9 6.5 8.0 7.4 6.7 7.4 7.3 6.6 7.5

Women, 20 years and over

Civilian labor force

10,105 10,236 10,210 10,113 10,166 10,204 10,219 10,252 10,197

Participation rate

62.5 62.5 62.1 62.5 62.3 62.5 62.5 62.6 62.0

Employed

9,431 9,707 9,518 9,437 9,550 9,560 9,622 9,657 9,524

Employment-population ratio

58.3 59.3 57.9 58.3 58.5 58.5 58.8 59.0 57.9

Unemployed

673 529 692 676 616 644 597 595 673

Unemployment rate

6.7 5.2 6.8 6.7 6.1 6.3 5.8 5.8 6.6

Both sexes, 16 to 19 years

Civilian labor force

698 686 703 780 794 712 731 723 759

Participation rate

27.8 27.4 28.0 31.0 31.6 28.4 29.1 28.8 30.3

Employed

512 547 532 574 619 555 544 557 575

Employment-population ratio

20.4 21.8 21.2 22.8 24.7 22.1 21.7 22.2 22.9

Unemployed

186 140 171 206 174 157 187 166 185

Unemployment rate

26.7 20.3 24.3 26.4 22.0 22.0 25.5 22.9 24.3

ASIAN

Civilian noninstitutional population

15,157 15,610 15,731 15,157 15,483 15,466 15,370 15,610 15,731

Civilian labor force

9,617 9,779 9,855 9,653 9,985 9,864 9,699 9,782 9,885

Participation rate

63.5 62.6 62.6 63.7 64.5 63.8 63.1 62.7 62.8

Employed

9,250 9,546 9,548 9,290 9,626 9,565 9,407 9,536 9,584

Employment-population ratio

61.0 61.2 60.7 61.3 62.2 61.8 61.2 61.1 60.9

Unemployed

367 233 307 363 359 299 292 246 300

Unemployment rate

3.8 2.4 3.1 3.8 3.6 3.0 3.0 2.5 3.0

Not in labor force

5,540 5,831 5,876 5,505 5,498 5,602 5,671 5,829 5,846

Footnotes
(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.


HOUSEHOLD DATA
Table A-3. Employment status of the Hispanic or Latino population by sex and age
[Numbers in thousands]
Employment status, sex, and age Not seasonally adjusted Seasonally adjusted(1)
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

HISPANIC OR LATINO ETHNICITY

Civilian noninstitutional population

40,922 41,831 42,249 40,922 41,579 41,665 41,751 41,831 42,249

Civilian labor force

26,927 27,429 27,713 27,051 27,609 27,319 27,389 27,498 27,826

Participation rate

65.8 65.6 65.6 66.1 66.4 65.6 65.6 65.7 65.9

Employed

25,146 26,077 26,114 25,467 26,209 25,999 26,088 26,141 26,432

Employment-population ratio

61.4 62.3 61.8 62.2 63.0 62.4 62.5 62.5 62.6

Unemployed

1,781 1,352 1,599 1,584 1,400 1,321 1,301 1,356 1,393

Unemployment rate

6.6 4.9 5.8 5.9 5.1 4.8 4.8 4.9 5.0

Not in labor force

13,995 14,402 14,536 13,871 13,970 14,346 14,361 14,334 14,423

Men, 20 years and over

Civilian labor force

14,837 15,090 15,281 14,898 15,110 14,959 14,969 15,084 15,320

Participation rate

80.5 80.1 80.2 80.9 80.7 79.7 79.6 80.1 80.4

Employed

13,966 14,457 14,448 14,189 14,502 14,380 14,400 14,507 14,659

Employment-population ratio

75.8 76.7 75.8 77.0 77.5 76.7 76.6 77.0 76.9

Unemployed

872 634 833 709 608 579 569 577 661

Unemployment rate

5.9 4.2 5.4 4.8 4.0 3.9 3.8 3.8 4.3

Women, 20 years and over

Civilian labor force

11,022 11,165 11,243 11,040 11,249 11,146 11,222 11,189 11,257

Participation rate

59.0 58.4 58.3 59.1 59.2 58.5 58.8 58.5 58.4

Employed

10,290 10,604 10,683 10,351 10,637 10,601 10,676 10,598 10,737

Employment-population ratio

55.1 55.5 55.4 55.4 56.0 55.7 56.0 55.4 55.7

Unemployed

732 561 560 689 612 546 546 591 520

Unemployment rate

6.6 5.0 5.0 6.2 5.4 4.9 4.9 5.3 4.6

Both sexes, 16 to 19 years

Civilian labor force

1,068 1,174 1,189 1,113 1,250 1,214 1,198 1,225 1,249

Participation rate

28.0 30.3 30.4 29.2 32.4 31.4 30.9 31.6 32.0

Employed

890 1,017 982 927 1,070 1,018 1,012 1,037 1,036

Employment-population ratio

23.4 26.2 25.1 24.3 27.7 26.3 26.2 26.8 26.5

Unemployed

178 158 207 186 180 196 185 188 213

Unemployment rate

16.6 13.4 17.4 16.7 14.4 16.1 15.5 15.4 17.0

Footnotes
(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]
Educational attainment Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

Less than a high school diploma

Civilian labor force

10,627 10,148 10,433 10,520 10,552 10,328 10,167 10,148 10,274

Participation rate

45.7 44.8 45.5 45.2 46.2 46.2 45.1 44.8 44.8

Employed

9,677 9,455 9,695 9,756 9,846 9,699 9,639 9,507 9,715

Employment-population ratio

41.6 41.8 42.2 42.0 43.1 43.4 42.7 42.0 42.3

Unemployed

950 693 738 765 706 629 528 641 559

Unemployment rate

8.9 6.8 7.1 7.3 6.7 6.1 5.2 6.3 5.4

High school graduates, no college(1)

Civilian labor force

35,191 35,760 35,395 35,456 35,916 35,572 36,014 35,927 35,735

Participation rate

57.5 57.5 57.0 58.0 57.4 56.9 57.5 57.8 57.5

Employed

33,116 34,245 33,589 33,597 34,377 34,050 34,463 34,425 34,134

Employment-population ratio

54.1 55.1 54.0 54.9 55.0 54.4 55.1 55.4 54.9

Unemployed

2,076 1,515 1,806 1,859 1,539 1,522 1,551 1,503 1,601

Unemployment rate

5.9 4.2 5.1 5.2 4.3 4.3 4.3 4.2 4.5

Some college or associate degree

Civilian labor force

37,982 37,897 37,792 38,076 37,540 37,761 37,955 37,906 37,863

Participation rate

65.6 66.2 65.8 65.8 65.9 65.8 66.2 66.2 66.0

Employed

36,436 36,590 36,411 36,634 36,189 36,385 36,579 36,534 36,566

Employment-population ratio

63.0 63.9 63.4 63.3 63.5 63.4 63.8 63.8 63.7

Unemployed

1,547 1,307 1,380 1,441 1,351 1,376 1,376 1,372 1,297

Unemployment rate

4.1 3.4 3.7 3.8 3.6 3.6 3.6 3.6 3.4

Bachelor's degree and higher(2)

Civilian labor force

54,369 55,824 55,885 54,377 55,621 55,612 55,501 55,852 55,922

Participation rate

73.9 73.4 73.3 73.9 74.1 73.8 73.6 73.5 73.4

Employed

52,987 54,701 54,649 53,025 54,378 54,477 54,348 54,653 54,720

Employment-population ratio

72.1 72.0 71.7 72.1 72.5 72.3 72.1 71.9 71.8

Unemployed

1,382 1,123 1,235 1,352 1,242 1,135 1,153 1,200 1,202

Unemployment rate

2.5 2.0 2.2 2.5 2.2 2.0 2.1 2.1 2.1

Footnotes
(1) Includes persons with a high school diploma or equivalent.
(2) Includes persons with bachelor's, master's, professional, and doctoral degrees.

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


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]
Employment status, veteran status, and period of service Total Men Women
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

VETERANS, 18 years and over

Civilian noninstitutional population

20,674 19,376 18,653 17,518 2,021 1,858

Civilian labor force

10,258 9,426 9,080 8,353 1,179 1,073

Participation rate

49.6 48.6 48.7 47.7 58.3 57.8

Employed

9,798 9,046 8,664 8,012 1,134 1,034

Employment-population ratio

47.4 46.7 46.4 45.7 56.1 55.7

Unemployed

461 380 416 341 45 39

Unemployment rate

4.5 4.0 4.6 4.1 3.8 3.6

Not in labor force

10,416 9,950 9,573 9,165 842 785

Gulf War-era II veterans

Civilian noninstitutional population

4,067 4,116 3,394 3,446 673 670

Civilian labor force

3,342 3,297 2,878 2,861 463 436

Participation rate

82.2 80.1 84.8 83.0 68.9 65.1

Employed

3,131 3,163 2,695 2,739 437 425

Employment-population ratio

77.0 76.9 79.4 79.5 64.9 63.4

Unemployed

211 134 184 122 27 11

Unemployment rate

6.3 4.1 6.4 4.3 5.8 2.6

Not in labor force

725 819 515 585 209 234

Gulf War-era I veterans

Civilian noninstitutional population

3,298 3,045 2,756 2,537 542 508

Civilian labor force

2,556 2,370 2,191 2,000 365 370

Participation rate

77.5 77.8 79.5 78.8 67.4 72.9

Employed

2,469 2,263 2,109 1,908 360 355

Employment-population ratio

74.9 74.3 76.5 75.2 66.5 69.9

Unemployed

87 107 82 92 5 15

Unemployment rate

3.4 4.5 3.7 4.6 1.3 4.1

Not in labor force

742 675 565 537 177 138

World War II, Korean War, and Vietnam-era veterans

Civilian noninstitutional population

8,218 7,821 7,921 7,555 297 266

Civilian labor force

1,832 1,623 1,750 1,570 83 52

Participation rate

22.3 20.7 22.1 20.8 27.8 19.7

Employed

1,754 1,568 1,681 1,516 73 52

Employment-population ratio

21.3 20.1 21.2 20.1 24.5 19.7

Unemployed

78 54 69 54 10 0

Unemployment rate

4.3 3.4 3.9 3.5 11.8 -

Not in labor force

6,386 6,198 6,171 5,985 214 214

Veterans of other service periods

Civilian noninstitutional population

5,091 4,394 4,582 3,980 509 414

Civilian labor force

2,528 2,136 2,261 1,922 267 215

Participation rate

49.7 48.6 49.3 48.3 52.5 51.8

Employed

2,444 2,052 2,180 1,849 264 202

Employment-population ratio

48.0 46.7 47.6 46.5 51.9 48.8

Unemployed

85 85 81 72 3 12

Unemployment rate

3.3 4.0 3.6 3.8 1.2 5.8

Not in labor force

2,563 2,258 2,321 2,058 242 199

NONVETERANS, 18 years and over

Civilian noninstitutional population

224,320 228,181 99,556 101,942 124,765 126,239

Civilian labor force

146,479 148,592 74,235 75,842 72,243 72,750

Participation rate

65.3 65.1 74.6 74.4 57.9 57.6

Employed

139,086 142,078 70,288 72,218 68,798 69,860

Employment-population ratio

62.0 62.3 70.6 70.8 55.1 55.3

Unemployed

7,393 6,514 3,948 3,624 3,445 2,890

Unemployment rate

5.0 4.4 5.3 4.8 4.8 4.0

Not in labor force

77,842 79,589 25,320 26,100 52,521 53,489

NOTE: Veterans served on active duty in the U.S. Armed Forces and were not on active duty at the time of the survey. Nonveterans never served on active duty in the U.S. Armed Forces. Veterans could have served anywhere in the world during these periods of service: Gulf War era II (September 2001-present), Gulf War era I (August 1990-August 2001), Vietnam era (August 1964-April 1975), Korean War (July 1950-January 1955), World War II (December 1941-December 1946), and other service periods (all other time periods). Veterans who served in more than one wartime period are classified only in the most recent one. Veterans who served during one of the selected wartime periods and another period are classified only in the wartime period. Dash indicates no data or data that do not meet publication criteria (values not shown where base is less than 75,000).


HOUSEHOLD DATA
Table A-6. Employment status of the civilian population by sex, age, and disability status, not seasonally adjusted
[Numbers in thousands]
Employment status, sex, and age Persons with a disability Persons with no disability
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

TOTAL, 16 years and over

Civilian noninstitutional population

29,964 29,404 224,118 227,376

Civilian labor force

5,847 5,987 152,828 154,050

Participation rate

19.5 20.4 68.2 67.8

Employed

5,206 5,460 145,321 147,388

Employment-population ratio

17.4 18.6 64.8 64.8

Unemployed

641 527 7,508 6,662

Unemployment rate

11.0 8.8 4.9 4.3

Not in labor force

24,116 23,417 71,290 73,326

Men, 16 to 64 years

Civilian labor force

2,479 2,587 76,763 77,314

Participation rate

33.0 35.8 82.1 82.0

Employed

2,181 2,337 72,724 73,686

Employment-population ratio

29.0 32.4 77.8 78.1

Unemployed

298 250 4,039 3,628

Unemployment rate

12.0 9.7 5.3 4.7

Not in labor force

5,032 4,632 16,721 17,000

Women, 16 to 64 years

Civilian labor force

2,320 2,321 67,814 68,309

Participation rate

28.7 30.4 70.5 70.4

Employed

2,053 2,108 64,631 65,554

Employment-population ratio

25.4 27.6 67.2 67.5

Unemployed

267 213 3,183 2,755

Unemployment rate

11.5 9.2 4.7 4.0

Not in labor force

5,765 5,314 28,410 28,777

Both sexes, 65 years and over

Civilian labor force

1,049 1,079 8,252 8,427

Participation rate

7.3 7.4 24.0 23.4

Employed

972 1,016 7,966 8,147

Employment-population ratio

6.8 7.0 23.1 22.6

Unemployed

77 63 286 279

Unemployment rate

7.3 5.9 3.5 3.3

Not in labor force

13,319 13,471 26,159 27,550

NOTE: A person with a disability has at least one of the following conditions: is deaf or has serious difficulty hearing; is blind or has serious difficulty seeing even when wearing glasses; has serious difficulty concentrating, remembering, or making decisions because of a physical, mental, or emotional condition; has serious difficulty walking or climbing stairs; has difficulty dressing or bathing; or has difficulty doing errands alone such as visiting a doctor's office or shopping because of a physical, mental, or emotional condition. Updated population controls are introduced annually with the release of January data.


HOUSEHOLD DATA
Table A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted
[Numbers in thousands]
Employment status and nativity Total Men Women
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

Foreign born, 16 years and over

Civilian noninstitutional population

41,379 42,625 20,148 20,580 21,231 22,045

Civilian labor force

27,144 27,754 15,683 15,938 11,461 11,816

Participation rate

65.6 65.1 77.8 77.4 54.0 53.6

Employed

25,721 26,453 14,883 15,257 10,837 11,196

Employment-population ratio

62.2 62.1 73.9 74.1 51.0 50.8

Unemployed

1,423 1,300 799 681 624 620

Unemployment rate

5.2 4.7 5.1 4.3 5.4 5.2

Not in labor force

14,235 14,871 4,465 4,642 9,770 10,229

Native born, 16 years and over

Civilian noninstitutional population

212,703 214,156 102,633 103,593 110,070 110,562

Civilian labor force

131,532 132,283 68,552 69,187 62,980 63,096

Participation rate

61.8 61.8 66.8 66.8 57.2 57.1

Employed

124,806 126,395 64,837 65,789 59,969 60,606

Employment-population ratio

58.7 59.0 63.2 63.5 54.5 54.8

Unemployed

6,726 5,889 3,715 3,398 3,011 2,491

Unemployment rate

5.1 4.5 5.4 4.9 4.8 3.9

Not in labor force

81,171 81,872 34,081 34,406 47,090 47,466

NOTE: The foreign born are those residing in the United States who were not U.S. citizens at birth. That is, they were born outside the United States or one of its outlying areas such as Puerto Rico or Guam, to parents neither of whom was a U.S. citizen. The native born are persons who were born in the United States or one of its outlying areas such as Puerto Rico or Guam or who were born abroad of at least one parent who was a U.S. citizen. Updated population controls are introduced annually with the release of January data.


HOUSEHOLD DATA
Table A-8. Employed persons by class of worker and part-time status
[In thousands]
Category Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

CLASS OF WORKER

Agriculture and related industries

2,225 2,368 2,297 2,432 2,311 2,471 2,510 2,552 2,513

Wage and salary workers(1)

1,460 1,590 1,538 1,625 1,554 1,707 1,697 1,717 1,712

Self-employed workers, unincorporated

747 743 732 790 745 749 791 793 781

Unpaid family workers

18 35 27 - - - - - -

Nonagricultural industries

148,302 151,233 150,551 149,633 151,942 151,334 151,453 151,478 151,894

Wage and salary workers(1)

139,942 142,295 141,666 141,067 142,959 142,294 142,472 142,505 142,828

Government

21,083 20,789 21,109 20,803 20,908 20,755 20,717 20,642 20,815

Private industries

118,859 121,506 120,557 120,275 122,055 121,578 121,779 121,900 122,022

Private households

731 687 701 - - - - - -

Other industries

118,128 120,819 119,855 119,581 121,423 121,012 121,140 121,206 121,349

Self-employed workers, unincorporated

8,313 8,881 8,838 8,504 8,861 8,956 8,922 8,970 8,991

Unpaid family workers

47 57 47 - - - - - -

PERSONS AT WORK PART TIME(2)

All industries

Part time for economic reasons(3)

6,226 5,060 5,474 5,776 5,148 4,880 4,851 4,915 4,989

Slack work or business conditions

3,966 3,172 3,363 3,561 3,098 2,960 2,995 3,097 3,009

Could only find part-time work

1,902 1,529 1,666 1,934 1,725 1,615 1,558 1,570 1,663

Part time for noneconomic reasons(4)

20,612 21,631 20,916 20,444 20,951 20,897 21,022 21,122 20,867

Nonagricultural industries

Part time for economic reasons(3)

6,127 4,992 5,380 5,717 5,048 4,799 4,759 4,856 4,926

Slack work or business conditions

3,909 3,132 3,311 3,506 3,054 2,944 2,952 3,049 2,965

Could only find part-time work

1,895 1,528 1,662 1,926 1,702 1,600 1,552 1,563 1,659

Part time for noneconomic reasons(4)

20,277 21,226 20,516 20,076 20,619 20,552 20,645 20,703 20,434

Footnotes
(1) Includes self-employed workers whose businesses are incorporated.
(2) 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.


HOUSEHOLD DATA
Table A-9. Selected employment indicators
[Numbers in thousands]
Characteristic Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

AGE AND SEX

Total, 16 years and over

150,527 153,602 152,848 152,076 154,324 153,846 153,917 154,021 154,430

16 to 19 years

4,620 4,801 4,709 5,056 5,238 5,022 4,928 4,977 5,143

16 to 17 years

1,643 1,803 1,724 1,822 1,972 1,932 1,929 1,907 1,915

18 to 19 years

2,977 2,998 2,986 3,231 3,206 3,070 2,996 3,075 3,221

20 years and over

145,907 148,801 148,139 147,020 149,085 148,824 148,989 149,045 149,287

20 to 24 years

13,691 13,809 13,794 14,076 14,211 14,183 13,982 13,936 14,153

25 years and over

132,215 134,991 134,345 132,971 134,845 134,716 135,009 135,083 135,129

25 to 54 years

97,656 99,547 99,157 98,191 99,235 99,227 99,407 99,535 99,674

25 to 34 years

33,926 34,614 34,559 34,157 34,652 34,666 34,692 34,606 34,768

35 to 44 years

31,406 32,302 32,231 31,557 32,045 32,094 32,146 32,304 32,380

45 to 54 years

32,324 32,631 32,367 32,478 32,538 32,468 32,568 32,625 32,526

55 years and over

34,560 35,444 35,188 34,779 35,610 35,489 35,602 35,548 35,455

Men, 16 years and over

79,721 81,300 81,046 80,973 81,902 81,667 81,666 81,821 82,274

16 to 19 years

2,237 2,275 2,286 2,525 2,509 2,419 2,342 2,391 2,569

16 to 17 years

769 779 817 877 899 884 884 848 920

18 to 19 years

1,468 1,495 1,469 1,642 1,600 1,528 1,443 1,540 1,638

20 years and over

77,483 79,025 78,761 78,448 79,393 79,248 79,324 79,431 79,705

20 to 24 years

7,028 7,093 7,079 7,305 7,313 7,280 7,210 7,203 7,339

25 years and over

70,455 71,933 71,682 71,178 72,028 72,016 72,102 72,226 72,388

25 to 54 years

52,196 53,163 52,996 52,675 52,980 53,082 53,084 53,308 53,441

25 to 34 years

18,287 18,559 18,630 18,470 18,605 18,617 18,617 18,612 18,773

35 to 44 years

16,886 17,397 17,277 17,052 17,262 17,320 17,300 17,450 17,447

45 to 54 years

17,023 17,206 17,089 17,152 17,114 17,145 17,167 17,246 17,221

55 years and over

18,259 18,770 18,686 18,503 19,048 18,934 19,018 18,918 18,947

Women, 16 years and over

70,806 72,301 71,802 71,103 72,422 72,179 72,251 72,200 72,157

16 to 19 years

2,383 2,526 2,424 2,531 2,729 2,603 2,586 2,586 2,574

16 to 17 years

874 1,024 907 945 1,073 1,048 1,044 1,059 995

18 to 19 years

1,509 1,502 1,517 1,589 1,606 1,541 1,552 1,535 1,583

20 years and over

68,423 69,775 69,378 68,572 69,692 69,576 69,665 69,614 69,583

20 to 24 years

6,663 6,717 6,715 6,771 6,898 6,903 6,772 6,733 6,814

25 years and over

61,760 63,058 62,663 61,793 62,817 62,700 62,906 62,857 62,742

25 to 54 years

45,460 46,385 46,161 45,517 46,255 46,146 46,322 46,227 46,233

25 to 34 years

15,639 16,055 15,929 15,687 16,047 16,049 16,074 15,994 15,995

35 to 44 years

14,520 14,905 14,954 14,505 14,784 14,774 14,846 14,853 14,933

45 to 54 years

15,301 15,425 15,278 15,325 15,425 15,323 15,402 15,380 15,305

55 years and over

16,300 16,674 16,502 16,276 16,562 16,555 16,584 16,630 16,508

MARITAL STATUS

Married men, spouse present(1)

45,344 45,284 45,442 45,654 45,594 45,776 45,621 45,439 45,714

Married women, spouse present(1)

35,444 35,952 35,624 35,540 35,591 35,853 35,844 35,813 35,768

Women who maintain families(2)

9,906 9,893 9,652 - - - - - -

FULL- OR PART-TIME STATUS

Full-time workers(3)

123,015 125,985 125,435 124,625 126,676 126,636 126,758 126,723 127,016

Part-time workers(4)

27,512 27,616 27,413 27,363 27,603 27,142 27,138 27,257 27,271

MULTIPLE JOBHOLDERS

Total multiple jobholders

7,405 7,776 7,751 7,547 7,350 7,209 7,342 7,647 7,845

Percent of total employed

4.9 5.1 5.1 5.0 4.8 4.7 4.8 5.0 5.1

SELF-EMPLOYMENT

Self-employed workers, incorporated

5,713 6,047 5,958 - - - - - -

Self-employed workers, unincorporated

9,060 9,624 9,570 9,294 9,605 9,705 9,713 9,763 9,773

Footnotes
(1) Refers to persons in opposite-sex married couples only.
(2) 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.


HOUSEHOLD DATA
Table A-10. Selected unemployment indicators, seasonally adjusted
Characteristic Number of
unemployed persons
(in thousands)
Unemployment rates
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

AGE AND SEX

Total, 16 years and over

7,642 6,576 6,684 4.8 4.2 4.1 4.1 4.1 4.1

16 to 19 years

891 780 834 15.0 13.0 13.7 15.9 13.6 13.9

16 to 17 years

346 341 337 15.9 13.9 15.0 19.1 15.2 15.0

18 to 19 years

542 467 495 14.4 12.8 13.2 14.4 13.2 13.3

20 years and over

6,751 5,796 5,851 4.4 3.9 3.7 3.7 3.7 3.8

20 to 24 years

1,264 1,063 1,123 8.2 7.6 7.2 7.1 7.1 7.4

25 years and over

5,421 4,735 4,704 3.9 3.5 3.3 3.3 3.4 3.4

25 to 54 years

4,190 3,528 3,611 4.1 3.5 3.4 3.4 3.4 3.5

25 to 34 years

1,775 1,615 1,576 4.9 4.4 4.4 4.3 4.5 4.3

35 to 44 years

1,293 992 1,034 3.9 3.2 3.0 3.1 3.0 3.1

45 to 54 years

1,122 921 1,001 3.3 3.1 2.7 2.7 2.7 3.0

55 years and over

1,257 1,200 1,103 3.5 3.2 3.1 3.1 3.3 3.0

Men, 16 years and over

4,075 3,533 3,658 4.8 4.2 4.2 4.2 4.1 4.3

16 to 19 years

472 416 434 15.8 15.2 16.0 17.7 14.8 14.5

16 to 17 years

180 158 137 17.0 15.6 17.4 20.7 15.7 13.0

18 to 19 years

289 271 286 15.0 15.2 15.7 16.6 15.0 14.9

20 years and over

3,603 3,117 3,223 4.4 3.8 3.8 3.7 3.8 3.9

20 to 24 years

743 620 651 9.2 8.7 8.0 8.4 7.9 8.2

25 years and over

2,834 2,480 2,561 3.8 3.4 3.3 3.2 3.3 3.4

25 to 54 years

2,199 1,814 1,905 4.0 3.4 3.3 3.2 3.3 3.4

25 to 34 years

959 841 796 4.9 4.3 4.3 4.1 4.3 4.1

35 to 44 years

678 471 552 3.8 2.9 2.8 2.7 2.6 3.1

45 to 54 years

562 502 557 3.2 3.0 2.7 2.7 2.8 3.1

55 years and over

635 667 656 3.3 3.1 3.3 3.4 3.4 3.3

Women, 16 years and over

3,567 3,043 3,027 4.8 4.2 3.9 4.1 4.0 4.0

16 to 19 years

419 364 399 14.2 11.0 11.4 14.1 12.3 13.4

16 to 17 years

166 183 199 14.9 12.5 12.8 17.7 14.7 16.7

18 to 19 years

253 196 209 13.7 10.3 10.6 12.4 11.3 11.7

20 years and over

3,148 2,679 2,627 4.4 3.9 3.6 3.6 3.7 3.6

20 to 24 years

521 443 472 7.1 6.4 6.3 5.8 6.2 6.5

25 years and over

2,587 2,254 2,143 4.0 3.6 3.3 3.4 3.5 3.3

25 to 54 years

1,991 1,714 1,706 4.2 3.7 3.5 3.6 3.6 3.6

25 to 34 years

816 774 781 4.9 4.4 4.5 4.5 4.6 4.7

35 to 44 years

615 521 482 4.1 3.5 3.3 3.5 3.4 3.1

45 to 54 years

560 418 444 3.5 3.1 2.7 2.8 2.6 2.8

55 years and over

616 546 421 3.6 3.4 2.9 2.8 3.2 2.5

MARITAL STATUS

Married men, spouse present(1)

1,273 1,033 1,080 2.7 2.3 2.0 2.1 2.2 2.3

Married women, spouse present(1)

1,110 942 877 3.0 2.5 2.4 2.3 2.6 2.4

Women who maintain families(2)

660 552 666 6.3 6.5 5.6 5.5 5.3 6.5

FULL- OR PART-TIME STATUS

Full-time workers(3)

6,240 5,314 5,347 4.8 4.2 4.0 3.9 4.0 4.0

Part-time workers(4)

1,393 1,295 1,340 4.8 4.3 4.5 5.0 4.5 4.7

Footnotes
(1) Refers to persons in opposite-sex couples only.
(2) 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.


HOUSEHOLD DATA
Table A-11. Unemployed persons by reason for unemployment
[Numbers in thousands]
Reason Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

NUMBER OF UNEMPLOYED

Job losers and persons who completed temporary jobs

4,361 3,298 3,891 3,700 3,316 3,214 3,149 3,254 3,273

On temporary layoff

1,518 1,010 1,333 1,056 891 862 950 915 912

Not on temporary layoff

2,843 2,288 2,558 2,644 2,425 2,352 2,200 2,339 2,361

Permanent job losers

2,093 1,604 1,756 1,973 1,728 1,688 1,539 1,636 1,652

Persons who completed temporary jobs

750 684 802 671 697 664 661 703 709

Job leavers

864 673 715 862 737 731 739 715 716

Reentrants

2,224 1,827 2,013 2,152 2,068 2,001 2,025 2,003 1,958

New entrants

701 480 571 803 663 626 697 581 645

PERCENT DISTRIBUTION

Job losers and persons who completed temporary jobs

53.5 52.5 54.1 49.2 48.9 48.9 47.6 49.7 49.6

On temporary layoff

18.6 16.1 18.5 14.0 13.1 13.1 14.4 14.0 13.8

Not on temporary layoff

34.9 36.4 35.6 35.2 35.8 35.8 33.3 35.7 35.8

Job leavers

10.6 10.7 9.9 11.5 10.9 11.1 11.2 10.9 10.9

Reentrants

27.3 29.1 28.0 28.6 30.5 30.5 30.6 30.6 29.7

New entrants

8.6 7.7 7.9 10.7 9.8 9.5 10.5 8.9 9.8

UNEMPLOYED AS A PERCENT OF THE
CIVILIAN LABOR FORCE

Job losers and persons who completed temporary jobs

2.7 2.1 2.4 2.3 2.1 2.0 2.0 2.0 2.0

Job leavers

0.5 0.4 0.4 0.5 0.5 0.5 0.5 0.4 0.4

Reentrants

1.4 1.1 1.3 1.3 1.3 1.2 1.3 1.2 1.2

New entrants

0.4 0.3 0.4 0.5 0.4 0.4 0.4 0.4 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]
Duration Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

NUMBER OF UNEMPLOYED

Less than 5 weeks

2,824 2,144 2,655 2,452 2,223 2,128 2,253 2,235 2,280

5 to 14 weeks

2,216 1,848 2,064 2,081 1,879 1,943 1,894 1,994 1,943

15 weeks and over

3,109 2,287 2,470 3,055 2,695 2,500 2,514 2,397 2,402

15 to 26 weeks

1,201 867 972 1,229 962 856 921 882 981

27 weeks and over

1,908 1,420 1,498 1,825 1,733 1,645 1,593 1,515 1,421

Average (mean) duration, in weeks

23.7 23.5 22.7 25.3 26.6 25.8 25.2 23.6 24.1

Median duration, in weeks

9.6 8.8 8.9 10.3 10.1 9.8 9.5 9.1 9.4

PERCENT DISTRIBUTION

Less than 5 weeks

34.6 34.1 36.9 32.3 32.7 32.4 33.8 33.7 34.4

5 to 14 weeks

27.2 29.4 28.7 27.4 27.6 29.6 28.4 30.1 29.3

15 weeks and over

38.2 36.4 34.4 40.3 39.7 38.0 37.7 36.2 36.3

15 to 26 weeks

14.7 13.8 13.5 16.2 14.2 13.0 13.8 13.3 14.8

27 weeks and over

23.4 22.6 20.8 24.1 25.5 25.0 23.9 22.9 21.5

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


HOUSEHOLD DATA
Table A-13. Employed and unemployed persons by occupation, not seasonally adjusted
[Numbers in thousands]
Occupation Employed Unemployed Unemployment
rates
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

Total, 16 years and over(1)

150,527 152,848 8,149 7,189 5.1 4.5

Management, professional, and related occupations

59,921 62,123 1,425 1,374 2.3 2.2

Management, business, and financial operations occupations

25,051 25,480 644 513 2.5 2.0

Professional and related occupations

34,871 36,643 781 861 2.2 2.3

Service occupations

25,772 25,725 1,741 1,617 6.3 5.9

Sales and office occupations

33,750 33,454 1,770 1,495 5.0 4.3

Sales and related occupations

15,971 15,725 883 754 5.2 4.6

Office and administrative support occupations

17,778 17,729 888 741 4.8 4.0

Natural resources, construction, and maintenance occupations

13,745 14,212 1,241 1,078 8.3 7.1

Farming, fishing, and forestry occupations

1,019 1,090 181 166 15.1 13.2

Construction and extraction occupations

7,591 8,226 872 755 10.3 8.4

Installation, maintenance, and repair occupations

5,134 4,897 187 157 3.5 3.1

Production, transportation, and material moving
occupations

17,338 17,334 1,250 1,050 6.7 5.7

Production occupations

8,196 8,495 558 401 6.4 4.5

Transportation and material moving occupations

9,142 8,839 693 649 7.0 6.8

Footnotes
(1) 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 Number of
unemployed
persons
(in thousands)
Unemployment
rates
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

Total, 16 years and over(1)

8,149 7,189 5.1 4.5

Nonagricultural private wage and salary workers

6,403 5,622 5.1 4.5

Mining, quarrying, and oil and gas extraction

51 29 6.8 4.1

Construction

859 707 9.4 7.3

Manufacturing

633 526 4.2 3.4

Durable goods

431 318 4.5 3.3

Nondurable goods

202 207 3.6 3.7

Wholesale and retail trade

1,164 1,081 5.5 5.3

Transportation and utilities

308 232 4.7 3.5

Information

137 146 4.9 5.3

Financial activities

319 216 3.3 2.2

Professional and business services

953 849 5.7 5.0

Education and health services

623 641 2.7 2.7

Leisure and hospitality

1,093 903 7.9 6.8

Other services

264 293 4.0 4.4

Agriculture and related private wage and salary workers

198 168 12.4 10.0

Government workers

485 474 2.2 2.2

Self-employed workers, unincorporated, and unpaid family workers

362 354 3.8 3.5

Footnotes
(1) 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]
Measure Not seasonally adjusted Seasonally adjusted
Jan.
2017
Dec.
2017
Jan.
2018
Jan.
2017
Sept.
2017
Oct.
2017
Nov.
2017
Dec.
2017
Jan.
2018

U-1 Persons unemployed 15 weeks or longer, as a percent of the civilian labor force

2.0 1.4 1.5 1.9 1.7 1.6 1.6 1.5 1.5

U-2 Job losers and persons who completed temporary jobs, as a percent of the civilian labor force

2.7 2.1 2.4 2.3 2.1 2.0 2.0 2.0 2.0

U-3 Total unemployed, as a percent of the civilian labor force (official unemployment rate)

5.1 3.9 4.5 4.8 4.2 4.1 4.1 4.1 4.1

U-4 Total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers

5.5 4.2 4.8 5.1 4.4 4.4 4.4 4.4 4.4

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

6.2 4.9 5.5 5.8 5.1 5.0 5.0 5.1 5.1

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

10.1 8.0 8.9 9.4 8.3 8.0 8.0 8.1 8.2

NOTE: Persons marginally attached to the labor force are those who currently are neither working nor looking for work but indicate that they want and are available for a job and have looked for work sometime in the past 12 months. Discouraged workers, a subset of the marginally attached, have given a job-market related reason for not currently looking for work. Persons employed part time for economic reasons are those who want and are available for full-time work but have had to settle for a part-time schedule. Updated population controls are introduced annually with the release of January data.


HOUSEHOLD DATA
Table A-16. Persons not in the labor force and multiple jobholders by sex, not seasonally adjusted
[Numbers in thousands]
Category Total Men Women
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018
Jan.
2017
Jan.
2018

NOT IN THE LABOR FORCE

Total not in the labor force

95,406 96,743 38,546 39,048 56,860 57,695

Persons who currently want a job

5,934 5,364 2,713 2,427 3,221 2,937

Marginally attached to the labor force(1)

1,752 1,653 903 917 849 736

Discouraged workers(2)

532 451 305 282 227 169

Other persons marginally attached to the labor force(3)

1,220 1,202 598 635 622 567

MULTIPLE JOBHOLDERS

Total multiple jobholders(4)

7,405 7,751 3,658 3,931 3,747 3,820

Percent of total employed

4.9 5.1 4.6 4.9 5.3 5.3

Primary job full time, secondary job part time

3,904 4,207 2,129 2,330 1,776 1,877

Primary and secondary jobs both part time

1,961 2,042 693 762 1,268 1,280

Primary and secondary jobs both full time

302 339 188 207 114 132

Hours vary on primary or secondary job

1,190 1,109 635 600 556 509

Footnotes
(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]
Industry Not seasonally adjusted Seasonally adjusted
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Change from:
Dec.2017 - Jan.2018(p)

Total nonfarm

143,393 148,783 148,558 145,473 145,696 147,450 147,610 147,810 200

Total private

121,222 125,970 125,885 123,292 123,383 125,120 125,286 125,482 196

Goods-producing

19,373 20,342 20,216 19,844 19,888 20,246 20,301 20,358 57

Mining and logging

637 703 700 693 646 697 698 704 6

Logging

48.2 50.6 50.0 49.4 50.0 49.3 49.8 51.0 1.2

Mining

588.5 652.0 649.8 643.5 595.9 647.3 647.8 652.5 4.7

Oil and gas extraction

148.6 146.9 145.3 144.9 149.4 146.0 144.4 145.7 1.3

Mining, except oil and gas

176.7 187.5 183.9 178.4 183.3 186.2 185.5 185.4 -0.1

Coal mining

51.0 52.3 52.0 51.8 50.7 52.1 51.7 51.8 0.1

Metal ore mining

38.7 38.4 38.7 38.6 38.8 38.5 38.6 38.7 0.1

Nonmetallic mineral mining and quarrying

87.0 96.8 93.2 88.0 93.8 95.6 95.2 94.9 -0.3

Support activities for mining

263.2 317.6 320.6 320.2 263.2 315.1 317.9 321.4 3.5

Construction

6,459 7,117 6,971 6,692 6,873 7,030 7,063 7,099 36

Construction of buildings

1,467.7 1,567.6 1,556.8 1,512.3 1,522.6 1,555.1 1,563.4 1,566.2 2.8

Residential building

717.8 765.0 765.6 744.6 747.3 758.1 766.9 772.0 5.1

Nonresidential building

749.9 802.6 791.2 767.7 775.3 797.0 796.5 794.2 -2.3

Heavy and civil engineering construction

846.0 1,005.9 940.0 867.9 968.5 984.5 987.1 993.4 6.3

Specialty trade contractors

4,145.6 4,543.3 4,474.2 4,311.3 4,381.8 4,490.0 4,512.6 4,538.9 26.3

Residential specialty trade contractors

1,821.1 1,993.3 1,965.5 1,895.4 1,932.7 1,972.6 1,982.5 1,996.4 13.9

Nonresidential specialty trade contractors

2,324.5 2,550.0 2,508.7 2,415.9 2,449.1 2,517.4 2,530.1 2,542.5 12.4

Manufacturing

12,277 12,522 12,545 12,459 12,369 12,519 12,540 12,555 15

Durable goods

7,662 7,796 7,820 7,792 7,699 7,792 7,810 7,828 18

Wood products

394.4 396.8 396.7 393.7 397.9 395.6 396.0 397.3 1.3

Nonmetallic mineral products

395.2 416.4 411.4 401.1 410.7 413.0 414.4 416.3 1.9

Primary metals

368.6 374.6 378.6 377.2 368.1 375.2 377.4 376.5 -0.9

Fabricated metal products

1,408.6 1,451.8 1,457.2 1,453.3 1,412.8 1,449.5 1,453.5 1,456.6 3.1

Machinery

1,064.9 1,089.9 1,097.7 1,100.8 1,066.6 1,092.9 1,097.4 1,102.8 5.4

Computer and electronic products

1,033.6 1,050.8 1,058.2 1,054.7 1,037.0 1,052.5 1,056.4 1,057.7 1.3

Computer and peripheral equipment

156.9 165.1 166.4 167.5 158.0 165.0 166.1 167.7 1.6

Communications equipment

85.8 86.4 87.1 86.9 86.2 86.6 87.0 87.3 0.3

Semiconductors and electronic components

358.8 364.7 367.8 364.9 359.7 365.3 366.7 366.3 -0.4

Electronic instruments

397.6 401.6 404.5 403.0 398.4 402.7 404.4 403.9 -0.5

Miscellaneous computer and electronic products

34.5 33.0 32.4 32.4 34.7 32.9 32.3 32.5 0.2

Electrical equipment and appliances

381.7 394.0 394.5 393.5 382.4 394.2 394.0 394.3 0.3

Transportation equipment(1)

1,633.1 1,635.4 1,642.0 1,641.3 1,637.0 1,635.6 1,638.9 1,644.6 5.7

Motor vehicles and parts(2)

954.8 955.0 959.0 953.9 956.7 953.8 955.4 955.1 -0.3

Furniture and related products

394.3 391.1 390.4 386.9 395.8 391.7 390.0 388.7 -1.3

Miscellaneous durable goods manufacturing

587.1 594.8 593.6 589.3 590.8 592.2 592.1 592.8 0.7

Nondurable goods

4,615 4,726 4,725 4,667 4,670 4,727 4,730 4,727 -3

Food manufacturing

1,555.9 1,614.8 1,611.4 1,590.8 1,579.9 1,616.5 1,617.6 1,617.6 0.0

Textile mills

113.4 111.8 111.8 111.1 113.4 111.7 111.6 111.3 -0.3

Textile product mills

114.9 113.2 114.5 113.0 116.4 112.6 114.1 114.1 0.0

Apparel

124.4 117.3 116.0 114.9 125.5 115.9 115.4 115.7 0.3

Paper and paper products

367.9 369.9 371.9 368.2 368.2 370.2 371.0 368.8 -2.2

Printing and related support activities

441.4 439.8 439.1 431.6 443.8 437.9 435.9 434.2 -1.7

Petroleum and coal products

109.3 115.9 113.8 110.2 113.3 115.2 115.1 114.6 -0.5

Chemicals

810.0 824.2 828.1 820.8 814.0 827.3 827.2 825.7 -1.5

Plastics and rubber products

702.7 722.5 724.7 718.3 709.8 724.1 725.0 725.3 0.3

Miscellaneous nondurable goods manufacturing

275.0 296.7 294.1 288.4 286.1 295.6 297.4 299.8 2.4

Private service-providing

101,849 105,628 105,669 103,448 103,495 104,874 104,985 105,124 139

Trade, transportation, and utilities

27,305 28,171 28,359 27,497 27,450 27,602 27,599 27,633 34

Wholesale trade

5,830.6 5,943.6 5,952.3 5,905.5 5,879.4 5,933.3 5,943.4 5,953.2 9.8

Durable goods

2,923.4 2,988.5 2,998.4 2,978.7 2,943.0 2,987.9 2,994.4 2,998.9 4.5

Nondurable goods

2,021.6 2,060.0 2,058.3 2,034.2 2,044.5 2,052.3 2,057.4 2,056.7 -0.7

Electronic markets and agents and brokers

885.6 895.1 895.6 892.6 891.9 893.1 891.6 897.6 6.0

Retail trade

15,848.1 16,344.1 16,384.1 15,809.7 15,912.8 15,887.0 15,861.4 15,876.8 15.4

Motor vehicle and parts dealers

1,978.7 2,019.4 2,011.1 2,001.7 2,000.3 2,018.5 2,020.5 2,023.4 2.9

Automobile dealers

1,284.0 1,303.7 1,300.9 1,297.0 1,290.6 1,301.6 1,303.1 1,303.9 0.8

Other motor vehicle dealers

142.4 151.1 148.4 146.9 154.2 156.1 156.7 158.4 1.7

Auto parts, accessories, and tire stores

552.3 564.6 561.8 557.8 555.6 560.8 560.8 561.0 0.2

Furniture and home furnishings stores

482.8 497.0 503.8 488.1 476.5 479.8 480.7 481.3 0.6

Electronics and appliance stores

528.5 512.2 513.5 507.6 513.8 490.2 494.1 493.6 -0.5

Building material and garden supply stores

1,205.1 1,266.7 1,260.7 1,237.5 1,267.3 1,293.9 1,296.5 1,299.9 3.4

Food and beverage stores

3,080.8 3,118.7 3,125.5 3,085.2 3,097.4 3,097.5 3,100.3 3,100.2 -0.1

Health and personal care stores

1,078.6 1,081.2 1,089.5 1,068.2 1,074.1 1,066.0 1,066.6 1,063.7 -2.9

Gasoline stations

915.2 938.4 929.0 920.1 928.7 934.9 931.9 933.3 1.4

Clothing and clothing accessories stores

1,402.7 1,478.8 1,481.2 1,372.1 1,390.7 1,353.4 1,343.5 1,358.6 15.1

Sporting goods, hobby, book, and music stores

621.1 671.4 674.1 598.2 610.1 607.9 598.2 592.0 -6.2

General merchandise stores

3,190.8 3,325.0 3,352.3 3,151.2 3,167.4 3,149.0 3,131.3 3,129.0 -2.3

Department stores

1,226.6 1,288.8 1,333.0 1,209.6 1,203.0 1,186.2 1,186.3 1,186.6 0.3

General merchandise stores, including warehouse clubs and supercenters

1,964.2 2,036.2 2,019.3 1,941.6 1,964.4 1,962.8 1,945.1 1,942.4 -2.7

Miscellaneous store retailers

806.3 833.4 835.8 800.0 828.7 819.7 820.9 821.4 0.5

Nonstore retailers

557.5 601.9 607.6 579.8 557.8 576.2 576.9 580.4 3.5

Transportation and warehousing

5,071.0 5,329.9 5,466.8 5,230.6 5,101.5 5,227.5 5,239.1 5,250.2 11.1

Air transportation

481.5 497.6 498.4 494.6 485.7 499.3 499.8 499.2 -0.6

Rail transportation

214.9 212.6 211.8 211.8 217.3 212.4 212.5 213.8 1.3

Water transportation

62.8 64.7 64.5 62.5 64.9 65.4 65.5 64.7 -0.8

Truck transportation

1,418.8 1,467.3 1,458.5 1,432.8 1,446.2 1,456.7 1,457.8 1,460.0 2.2

Transit and ground passenger transportation

495.5 511.3 511.2 502.9 484.4 494.7 495.6 493.1 -2.5

Pipeline transportation

48.9 47.9 47.8 47.2 49.0 48.0 47.6 47.3 -0.3

Scenic and sightseeing transportation

24.7 30.8 30.0 24.0 34.8 35.2 35.5 34.3 -1.2

Support activities for transportation

674.0 698.2 703.9 697.6 679.8 696.9 700.0 702.8 2.8

Couriers and messengers

679.4 758.3 900.8 746.0 662.3 705.3 713.6 718.5 4.9

Warehousing and storage

970.5 1,041.2 1,039.9 1,011.2 977.1 1,013.6 1,011.2 1,016.5 5.3

Utilities

554.8 553.3 555.3 550.9 556.7 554.3 554.6 553.2 -1.4

Information

2,778 2,799 2,784 2,738 2,810 2,780 2,779 2,773 -6

Publishing industries, except Internet

727.7 721.1 720.7 713.4 730.8 718.7 717.4 716.2 -1.2

Motion picture and sound recording industries

404.5 433.2 414.0 388.8 430.1 418.1 419.3 417.0 -2.3

Broadcasting, except Internet

268.7 265.1 264.6 261.3 269.5 263.7 262.9 262.1 -0.8

Telecommunications

792.7 775.7 777.8 771.8 792.2 774.7 774.6 771.5 -3.1

Data processing, hosting and related services

310.9 320.5 320.0 318.7 312.2 320.6 319.3 320.4 1.1

Other information services

273.5 283.8 286.5 283.8 274.8 284.3 285.8 285.3 -0.5

Financial activities

8,345 8,499 8,518 8,464 8,397 8,503 8,509 8,518 9

Finance and insurance

6,218.0 6,289.4 6,303.2 6,280.2 6,228.3 6,286.3 6,289.7 6,291.8 2.1

Monetary authorities - central bank

19.1 18.9 19.0 18.9 18.9 18.8 18.9 18.9 0.0

Credit intermediation and related
activities

2,638.2 2,654.0 2,661.3 2,653.9 2,641.0 2,655.4 2,656.4 2,656.7 0.3

Depository credit intermediation(1)

1,710.8 1,712.6 1,714.4 1,714.5 1,712.0 1,716.5 1,715.8 1,715.6 -0.2

Commercial banking

1,322.2 1,319.9 1,321.0 1,320.1 1,321.0 1,323.2 1,322.4 1,319.5 -2.9

Nondepository credit intermediation

622.8 628.0 629.9 624.4 622.5 625.9 624.9 624.3 -0.6

Activities related to credit intermediation

304.6 313.4 317.0 315.0 306.5 313.0 315.8 316.8 1.0

Securities, commodity contracts, investments, and funds and trusts

928.1 949.2 952.7 949.9 932.2 949.0 950.6 954.1 3.5

Insurance carriers and related activities

2,632.6 2,667.3 2,670.2 2,657.5 2,636.2 2,663.1 2,663.8 2,662.1 -1.7

Real estate and rental and leasing

2,127.4 2,209.4 2,214.5 2,184.2 2,169.1 2,216.6 2,219.2 2,225.7 6.5

Real estate

1,564.2 1,611.5 1,617.2 1,593.1 1,586.8 1,612.3 1,612.4 1,615.0 2.6

Rental and leasing services

539.5 573.5 572.9 566.8 558.2 580.1 582.6 586.1 3.5

Lessors of nonfinancial intangible assets

23.7 24.4 24.4 24.3 24.1 24.2 24.2 24.6 0.4

Professional and business services

19,875 20,864 20,770 20,313 20,246 20,646 20,671 20,694 23

Professional and technical services

8,915.3 9,090.7 9,107.5 9,080.9 8,912.6 9,068.2 9,077.6 9,085.1 7.5

Legal services

1,125.5 1,138.5 1,143.3 1,127.7 1,132.5 1,135.8 1,136.6 1,135.5 -1.1

Accounting and bookkeeping services

1,057.5 966.4 980.4 1,039.2 980.6 987.3 981.7 971.6 -10.1

Architectural and engineering services

1,395.8 1,452.0 1,453.2 1,437.6 1,417.0 1,451.2 1,455.0 1,458.9 3.9

Specialized design services

138.3 141.0 140.6 136.1 140.3 139.2 138.6 138.2 -0.4

Computer systems design and related services

2,021.6 2,073.4 2,065.5 2,069.1 2,022.5 2,060.4 2,064.3 2,068.8 4.5

Management and technical consulting services

1,351.1 1,436.0 1,438.6 1,404.9 1,373.2 1,419.9 1,422.5 1,427.1 4.6

Scientific research and development services

656.0 662.8 661.2 661.3 660.1 662.8 661.8 665.1 3.3

Advertising and related services

486.2 491.4 493.2 483.5 491.8 488.8 490.7 489.3 -1.4

Other professional and technical services

683.3 729.2 731.5 721.5 694.5 722.7 726.6 730.6 4.0

Management of companies and enterprises

2,269.4 2,305.4 2,312.7 2,301.0 2,276.6 2,304.7 2,308.0 2,308.2 0.2

Administrative and waste services

8,690.3 9,468.0 9,350.2 8,930.6 9,056.5 9,272.8 9,285.6 9,300.2 14.6

Administrative and support services

8,285.9 9,052.5 8,933.4 8,517.1 8,645.5 8,856.2 8,867.2 8,880.8 13.6

Office administrative services

494.6 520.5 518.5 514.8 497.7 517.5 518.0 518.7 0.7

Facilities support services

145.9 155.1 155.3 151.2 146.7 154.2 155.5 152.8 -2.7

Employment services(1)

3,401.7 3,829.7 3,803.7 3,522.7 3,558.6 3,671.1 3,674.9 3,680.6 5.7

Temporary help services

2,768.6 3,144.8 3,116.1 2,864.0 2,901.8 2,999.1 2,997.6 2,999.4 1.8

Business support services

912.2 930.6 931.3 915.8 911.6 907.9 908.1 914.0 5.9

Travel arrangement and reservation services

213.9 214.6 213.8 211.8 219.2 215.9 216.1 216.8 0.7

Investigation and security services

898.5 930.3 933.7 917.3 909.1 922.5 926.6 928.0 1.4

Services to buildings and dwellings

1,907.0 2,144.2 2,051.7 1,958.8 2,085.7 2,136.4 2,136.8 2,139.5 2.7

Other support services

312.1 327.5 325.4 324.7 316.9 330.6 331.3 330.4 -0.9

Waste management and remediation services

404.4 415.5 416.8 413.5 411.0 416.6 418.4 419.4 1.0

Education and health services

22,766 23,609 23,570 23,227 22,957 23,350 23,389 23,427 38

Educational services

3,494.3 3,894.7 3,816.3 3,577.7 3,624.8 3,696.9 3,700.2 3,711.9 11.7

Health care and social assistance

19,271.6 19,713.8 19,753.3 19,649.6 19,331.8 19,653.5 19,689.1 19,714.9 25.8

Health care(3)

15,540.4 15,881.5 15,921.3 15,834.0 15,593.5 15,835.0 15,867.8 15,888.4 20.6

Ambulatory health care services

7,171.9 7,404.5 7,417.7 7,362.0 7,201.8 7,372.7 7,387.2 7,394.9 7.7

Offices of physicians

2,551.4 2,619.6 2,626.0 2,599.8 2,558.5 2,610.3 2,609.8 2,608.7 -1.1

Offices of dentists

926.5 939.5 943.4 934.2 928.8 936.5 942.4 937.3 -5.1

Offices of other health practitioners

869.8 906.9 908.6 906.9 876.3 901.8 906.1 912.3 6.2

Outpatient care centers

874.6 914.3 916.5 917.4 877.2 913.2 914.4 919.5 5.1

Medical and diagnostic laboratories

268.0 273.6 274.4 272.6 268.4 272.6 272.8 273.2 0.4

Home health care services

1,385.2 1,440.0 1,439.2 1,423.9 1,392.9 1,429.0 1,432.6 1,433.3 0.7

Other ambulatory health care services

296.4 310.6 309.6 307.2 299.8 309.2 309.2 310.6 1.4

Hospitals

5,042.9 5,118.9 5,136.5 5,130.7 5,052.5 5,110.2 5,126.1 5,138.8 12.7

Nursing and residential care facilities

3,325.6 3,358.1 3,367.1 3,341.3 3,339.2 3,352.1 3,354.5 3,354.7 0.2

Nursing care facilities

1,632.8 1,626.0 1,625.1 1,611.7 1,636.7 1,621.9 1,618.3 1,616.2 -2.1

Residential mental health facilities

621.2 632.7 636.1 631.7 624.2 632.6 635.3 634.4 -0.9

Community care facilities for the elderly

907.2 929.3 934.8 927.9 911.7 927.6 930.1 932.3 2.2

Other residential care facilities

164.4 170.1 171.1 170.0 166.7 169.9 170.9 171.8 0.9

Social assistance

3,731.2 3,832.3 3,832.0 3,815.6 3,738.3 3,818.5 3,821.3 3,826.5 5.2

Individual and family services

2,300.0 2,369.8 2,367.9 2,360.8 2,307.2 2,366.5 2,366.3 2,370.0 3.7

Emergency and other relief services

167.9 169.6 172.0 171.5 167.6 170.3 170.5 171.0 0.5

Vocational rehabilitation services

335.5 344.2 343.8 340.6 340.3 343.9 344.5 345.5 1.0

Child day care services

927.8 948.7 948.3 942.7 923.2 937.7 940.0 940.1 0.1

Leisure and hospitality

15,124 15,877 15,864 15,454 15,906 16,176 16,213 16,248 35

Arts, entertainment, and recreation

2,029.0 2,172.2 2,174.5 2,077.5 2,300.5 2,343.7 2,352.5 2,354.8 2.3

Performing arts and spectator sports

420.0 477.4 476.0 429.2 478.9 494.0 496.8 492.6 -4.2

Museums, historical sites, and similar institutions

146.9 163.7 163.1 155.2 162.0 169.8 171.5 171.5 0.0

Amusements, gambling, and recreation

1,462.1 1,531.1 1,535.4 1,493.1 1,659.6 1,679.9 1,684.2 1,690.7 6.5

Accommodation and food services

13,094.7 13,704.9 13,689.5 13,376.9 13,605.7 13,832.6 13,860.6 13,893.1 32.5

Accommodation

1,882.6 1,955.2 1,948.8 1,913.8 1,983.5 2,013.3 2,014.1 2,015.5 1.4

Food services and drinking places

11,212.1 11,749.7 11,740.7 11,463.1 11,622.2 11,819.3 11,846.5 11,877.6 31.1

Other services

5,656 5,809 5,804 5,755 5,729 5,817 5,825 5,831 6

Repair and maintenance

1,283.7 1,312.2 1,310.4 1,299.4 1,299.3 1,316.9 1,317.6 1,315.7 -1.9

Personal and laundry services

1,440.9 1,507.6 1,510.0 1,493.1 1,462.6 1,505.6 1,510.0 1,515.8 5.8

Membership associations and organizations

2,931.1 2,989.1 2,983.8 2,962.1 2,967.4 2,994.7 2,997.7 2,999.4 1.7

Government

22,171 22,813 22,673 22,181 22,313 22,330 22,324 22,328 4

Federal

2,800.0 2,796.0 2,810.0 2,792.0 2,814.0 2,803.0 2,797.0 2,802.0 5.0

Federal, except U.S. Postal Service

2,188.6 2,182.2 2,180.1 2,177.7 2,198.1 2,186.8 2,182.4 2,185.2 2.8

U.S. Postal Service

611.1 613.3 630.2 614.0 616.0 616.2 614.5 617.1 2.6

State government

5,059.0 5,316.0 5,238.0 5,013.0 5,153.0 5,129.0 5,125.0 5,114.0 -11.0

State government education

2,384.7 2,655.4 2,581.3 2,372.1 2,467.9 2,462.2 2,459.9 2,459.7 -0.2

State government, excluding education

2,674.0 2,660.9 2,656.2 2,641.3 2,684.9 2,667.1 2,664.6 2,654.7 -9.9

Local government

14,312.0 14,701.0 14,625.0 14,376.0 14,346.0 14,398.0 14,402.0 14,412.0 10.0

Local government education

8,013.3 8,283.7 8,239.8 8,032.5 7,910.0 7,934.0 7,933.4 7,933.1 -0.3

Local government, excluding education

6,298.9 6,416.9 6,385.3 6,343.8 6,436.4 6,464.4 6,468.6 6,478.4 9.8

Footnotes
(1) Includes other industries, not shown separately.
(2) 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.


ESTABLISHMENT DATA
Table B-2. Average weekly hours and overtime of all employees on private nonfarm payrolls by industry sector, seasonally adjusted
Industry Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

AVERAGE WEEKLY HOURS

Total private

34.4 34.5 34.5 34.3

Goods-producing

40.3 40.5 40.5 40.2

Mining and logging

43.9 45.5 45.7 45.2

Construction

39.1 39.1 39.4 39.0

Manufacturing

40.8 40.9 40.8 40.6

Durable goods

41.3 41.4 41.3 41.0

Nondurable goods

40.0 40.3 39.9 39.9

Private service-providing

33.2 33.3 33.3 33.2

Trade, transportation, and utilities

34.3 34.7 34.5 34.2

Wholesale trade

38.9 39.2 39.3 39.0

Retail trade

30.9 31.3 31.1 30.6

Transportation and warehousing

38.7 38.9 38.6 38.6

Utilities

42.5 42.1 41.9 41.9

Information

36.4 36.0 36.2 35.7

Financial activities

37.3 37.6 37.6 37.6

Professional and business services

36.1 36.1 36.0 36.0

Education and health services

32.9 32.9 33.0 33.0

Leisure and hospitality

26.0 26.1 26.2 26.0

Other services

31.8 31.7 31.8 31.6

AVERAGE OVERTIME HOURS

Manufacturing

3.3 3.5 3.5 3.5

Durable goods

3.3 3.4 3.5 3.5

Nondurable goods

3.2 3.6 3.4 3.5

Footnotes
(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
Industry Average hourly earnings Average weekly earnings
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

Total private

$25.99 $26.54 $26.65 $26.74 $894.06 $915.63 $919.43 $917.18

Goods-producing

27.27 27.77 27.86 27.89 1,098.98 1,124.69 1,128.33 1,121.18

Mining and logging

32.24 32.23 32.24 32.35 1,415.34 1,466.47 1,473.37 1,462.22

Construction

28.51 29.20 29.30 29.33 1,114.74 1,141.72 1,154.42 1,143.87

Manufacturing

26.33 26.72 26.80 26.83 1,074.26 1,092.85 1,093.44 1,089.30

Durable goods

27.59 28.02 28.06 28.09 1,139.47 1,160.03 1,158.88 1,151.69

Nondurable goods

24.19 24.53 24.65 24.68 967.60 988.56 983.54 984.73

Private service-providing

25.70 26.25 26.37 26.47 853.24 874.13 878.12 878.80

Trade, transportation, and utilities

22.59 22.92 23.04 23.10 774.84 795.32 794.88 790.02

Wholesale trade

29.94 30.19 30.30 30.21 1,164.67 1,183.45 1,190.79 1,178.19

Retail trade

18.01 18.25 18.34 18.41 556.51 571.23 570.37 563.35

Transportation and warehousing

23.54 24.12 24.24 24.29 911.00 938.27 935.66 937.59

Utilities

38.99 39.55 39.55 39.73 1,657.08 1,665.06 1,657.15 1,664.69

Information

37.56 38.57 38.73 38.94 1,367.18 1,388.52 1,402.03 1,390.16

Financial activities

32.62 33.72 33.94 33.99 1,216.73 1,267.87 1,276.14 1,278.02

Professional and business services

31.23 31.87 32.00 32.18 1,127.40 1,150.51 1,152.00 1,158.48

Education and health services

25.99 26.58 26.67 26.78 855.07 874.48 880.11 883.74

Leisure and hospitality

15.23 15.63 15.70 15.73 395.98 407.94 411.34 408.98

Other services

23.52 24.17 24.22 24.24 747.94 766.19 770.20 765.98

Footnotes
(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]
Industry Index of aggregate weekly hours(1) Index of aggregate weekly payrolls(2)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Percent change from:
Dec.
2017 - Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Percent change from:
Dec.
2017 - Jan.
2018(p)

Total private

106.5 108.3 108.5 108.0 -0.5 132.4 137.5 138.2 138.1 -0.1

Goods-producing

91.3 93.4 93.7 93.2 -0.5 112.5 117.3 118.0 117.5 -0.4

Mining and logging

89.1 99.7 100.2 100.0 -0.2 115.3 129.0 129.7 129.9 0.2

Construction

92.6 94.8 95.9 95.4 -0.5 114.8 120.2 122.1 121.6 -0.4

Manufacturing

90.8 92.1 92.0 91.7 -0.3 111.2 114.5 114.7 114.4 -0.3

Durable goods

89.5 90.8 90.8 90.4 -0.4 109.7 113.0 113.2 112.7 -0.4

Nondurable goods

93.2 95.1 94.2 94.1 -0.1 114.4 118.4 117.8 117.9 0.1

Private service-providing

110.5 112.4 112.5 112.3 -0.2 138.1 143.3 144.1 144.4 0.2

Trade, transportation, and utilities

102.4 104.2 103.6 102.8 -0.8 124.5 128.5 128.4 127.8 -0.5

Wholesale trade

99.8 101.5 101.9 101.3 -0.6 124.7 127.9 128.9 127.7 -0.9

Retail trade

99.9 101.0 100.2 98.7 -1.5 118.9 121.9 121.5 120.1 -1.2

Transportation and warehousing

113.0 116.4 115.7 116.0 0.3 135.0 142.5 142.4 143.0 0.4

Utilities

102.4 101.0 100.5 100.3 -0.2 131.9 131.9 131.4 131.6 0.2

Information

93.4 91.4 91.9 90.4 -1.6 124.9 125.5 126.7 125.4 -1.0

Financial activities

102.6 104.7 104.8 104.9 0.1 130.5 137.7 138.7 139.1 0.3

Professional and business services

115.0 117.2 117.0 117.2 0.2 145.4 151.4 151.7 152.8 0.7

Education and health services

123.3 125.4 126.0 126.2 0.2 154.2 160.4 161.7 162.6 0.6

Leisure and hospitality

118.0 120.5 121.2 120.5 -0.6 145.0 151.9 153.5 153.0 -0.3

Other services

105.0 106.3 106.8 106.2 -0.6 135.4 140.8 141.8 141.1 -0.5

Footnotes
(1) 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
Industry Women employees (in thousands) Percent of all employees
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

Total nonfarm

72,213 73,031 73,116 73,238 49.6 49.5 49.5 49.5

Total private

59,419 60,207 60,286 60,404 48.2 48.1 48.1 48.1

Goods-producing

4,355 4,452 4,459 4,470 21.9 22.0 22.0 22.0

Mining and logging

92 92 91 93 14.2 13.2 13.0 13.2

Construction

863 897 901 908 12.6 12.8 12.8 12.8

Manufacturing

3,400 3,463 3,467 3,469 27.5 27.7 27.6 27.6

Durable goods

1,804 1,828 1,831 1,832 23.4 23.5 23.4 23.4

Nondurable goods

1,596 1,635 1,636 1,637 34.2 34.6 34.6 34.6

Private service-providing

55,064 55,755 55,827 55,934 53.2 53.2 53.2 53.2

Trade, transportation, and utilities

11,106 11,056 11,052 11,060 40.5 40.1 40.0 40.0

Wholesale trade

1,737.0 1,752.2 1,755.9 1,760.9 29.5 29.5 29.5 29.6

Retail trade

7,989.4 7,892.4 7,884.1 7,887.1 50.2 49.7 49.7 49.7

Transportation and warehousing

1,250.6 1,283.6 1,284.8 1,285.6 24.5 24.6 24.5 24.5

Utilities

128.9 127.6 127.3 126.4 23.2 23.0 23.0 22.8

Information

1,122 1,096 1,095 1,091 39.9 39.4 39.4 39.3

Financial activities

4,766 4,800 4,798 4,804 56.8 56.5 56.4 56.4

Professional and business services

9,099 9,313 9,319 9,336 44.9 45.1 45.1 45.1

Education and health services

17,696 17,964 17,989 18,033 77.1 76.9 76.9 77.0

Leisure and hospitality

8,261 8,447 8,486 8,516 51.9 52.2 52.3 52.4

Other services

3,014 3,079 3,088 3,094 52.6 52.9 53.0 53.1

Government

12,794 12,824 12,830 12,834 57.3 57.4 57.5 57.5

Footnotes
(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 adjusted(1)
[In thousands]
Industry Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

Total private

101,690 103,119 103,239 103,403

Goods-producing

14,329 14,559 14,615 14,677

Mining and logging

461 511 517 521

Construction

5,192 5,255 5,289 5,324

Manufacturing

8,676 8,793 8,809 8,832

Durable goods

5,296 5,348 5,361 5,386

Nondurable goods

3,380 3,445 3,448 3,446

Private service-providing

87,361 88,560 88,624 88,726

Trade, transportation, and utilities

23,080 23,307 23,308 23,341

Wholesale trade

4,702.0 4,757.3 4,767.1 4,774.4

Retail trade

13,503.3 13,550.0 13,527.7 13,539.6

Transportation and warehousing

4,427.7 4,553.7 4,567.2 4,581.6

Utilities

447.3 445.5 446.4 445.3

Information

2,269 2,235 2,236 2,231

Financial activities

6,533 6,609 6,611 6,612

Professional and business services

16,569 16,840 16,840 16,845

Education and health services

20,154 20,511 20,538 20,577

Leisure and hospitality

14,012 14,250 14,277 14,301

Other services

4,744 4,808 4,814 4,819

Footnotes
(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 adjusted(1)
Industry Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

AVERAGE WEEKLY HOURS

Total private

33.6 33.7 33.7 33.6

Goods-producing

41.2 41.3 41.3 41.1

Mining and logging

45.5 46.6 46.6 46.7

Construction

39.5 39.6 40.0 39.6

Manufacturing

41.9 41.9 41.7 41.7

Durable goods

42.3 42.3 42.1 42.1

Nondurable goods

41.3 41.4 41.1 41.1

Private service-providing

32.4 32.5 32.4 32.4

Trade, transportation, and utilities

33.6 34.0 33.9 33.8

Wholesale trade

38.8 39.2 39.1 38.9

Retail trade

29.9 30.4 30.3 30.3

Transportation and warehousing

38.6 38.4 38.3 38.2

Utilities

43.2 42.5 42.3 42.6

Information

35.9 35.6 35.8 35.4

Financial activities

36.9 36.9 36.9 36.9

Professional and business services

35.4 35.4 35.3 35.1

Education and health services

32.2 32.3 32.2 32.2

Leisure and hospitality

24.8 24.9 25.0 24.9

Other services

30.8 30.7 30.8 30.6

AVERAGE OVERTIME HOURS

Manufacturing

4.2 4.5 4.4 4.5

Durable goods

4.3 4.5 4.5 4.6

Nondurable goods

4.0 4.5 4.3 4.3

Footnotes
(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 adjusted(1)
Industry Average hourly earnings Average weekly earnings
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)

Total private

$21.81 $22.23 $22.31 $22.34 $732.82 $749.15 $751.85 $750.62

Goods-producing

22.86 23.41 23.54 23.60 941.83 966.83 972.20 969.96

Mining and logging

27.39 27.47 27.82 27.89 1,246.25 1,280.10 1,296.41 1,302.46

Construction

26.36 26.99 27.08 27.12 1,041.22 1,068.80 1,083.20 1,073.95

Manufacturing

20.63 21.12 21.22 21.31 864.40 884.93 884.87 888.63

Durable goods

21.63 22.11 22.19 22.28 914.95 935.25 934.20 937.99

Nondurable goods

19.02 19.56 19.67 19.77 785.53 809.78 808.44 812.55

Private service-providing

21.59 21.99 22.05 22.08 699.52 714.68 714.42 715.39

Trade, transportation, and utilities

19.17 19.50 19.54 19.55 644.11 663.00 662.41 660.79

Wholesale trade

24.47 24.82 24.84 24.87 949.44 972.94 971.24 967.44

Retail trade

15.22 15.45 15.50 15.47 455.08 469.68 469.65 468.74

Transportation and warehousing

20.94 21.56 21.56 21.65 808.28 827.90 825.75 827.03

Utilities

36.10 36.10 36.15 36.46 1,559.52 1,534.25 1,529.15 1,553.20

Information

30.37 31.03 30.95 31.00 1,090.28 1,104.67 1,108.01 1,097.40

Financial activities

26.32 26.65 26.84 26.75 971.21 983.39 990.40 987.08

Professional and business services

25.75 26.22 26.29 26.35 911.55 928.19 928.04 924.89

Education and health services

22.81 23.23 23.30 23.41 734.48 750.33 750.26 753.80

Leisure and hospitality

13.15 13.52 13.61 13.61 326.12 336.65 340.25 338.89

Other services

19.74 20.41 20.44 20.44 607.99 626.59 629.55 625.46

Footnotes
(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 adjusted(1)
[2002=100]
Industry Index of aggregate weekly hours(2) Index of aggregate weekly payrolls(3)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Percent change from:
Dec.
2017 - Jan.
2018(p)
Jan.
2017
Nov.
2017
Dec.
2017(p)
Jan.
2018(p)
Percent change from:
Dec.
2017 - Jan.
2018(p)

Total private

113.8 115.8 115.9 115.8 -0.1 165.9 172.0 172.8 172.8 0.0

Goods-producing

90.2 91.9 92.2 92.2 0.0 126.3 131.7 132.9 133.2 0.2

Mining and logging

111.5 126.5 128.0 129.3 1.0 177.6 202.2 207.1 209.7 1.3

Construction

102.7 104.2 105.9 105.6 -0.3 146.2 151.9 154.9 154.6 -0.2

Manufacturing

83.4 84.6 84.3 84.5 0.2 112.6 116.8 117.0 117.8 0.7

Durable goods

84.2 85.0 84.8 85.2 0.5 113.7 117.4 117.5 118.5 0.9

Nondurable goods

82.2 84.0 83.5 83.4 -0.1 110.5 116.2 116.1 116.6 0.4

Private service-providing

120.5 122.6 122.3 122.4 0.1 178.5 184.8 184.9 185.4 0.3

Trade, transportation, and utilities

108.1 110.5 110.2 110.0 -0.2 147.8 153.7 153.5 153.4 -0.1

Wholesale trade

107.4 109.8 109.8 109.4 -0.4 154.9 160.6 160.6 160.2 -0.2

Retail trade

102.2 104.3 103.8 103.8 0.0 133.3 138.1 137.8 137.7 -0.1

Transportation and warehousing

128.7 131.6 131.7 131.7 0.0 170.9 180.0 180.1 180.9 0.4

Utilities

98.8 96.8 96.6 97.0 0.4 148.9 145.9 145.7 147.6 1.3

Information

93.0 90.8 91.4 90.1 -1.4 139.8 139.5 140.0 138.3 -1.2

Financial activities

113.5 114.8 114.8 114.9 0.1 183.8 188.2 189.6 189.0 -0.3

Professional and business services

131.5 133.6 133.2 132.5 -0.5 201.4 208.5 208.4 207.8 -0.3

Education and health services

138.4 141.3 141.0 141.3 0.2 208.3 216.6 216.8 218.3 0.7

Leisure and hospitality

127.3 130.0 130.7 130.4 -0.2 190.1 199.6 202.1 201.6 -0.2

Other services

102.5 103.5 104.0 103.4 -0.6 147.4 153.9 154.9 154.0 -0.6

Footnotes
(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.
(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.


Last Modified Date: February 02, 2018