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<\/p>\nWashington, DC…Total nonfarm payroll employment increased by 304,000 in January, and the unemployment rate edged up to 4.0 percent, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in several industries, including leisure and hospitality, construction, health care, and transportation and warehousing. <\/p>\n
<\/p>\n
\t\t THE EMPLOYMENT SITUATION — JANUARY 2019<\/p>\n
Total nonfarm payroll employment increased by 304,000 in January, and the
\nunemployment rate edged up to 4.0 percent, the U.S. Bureau of Labor Statistics
\nreported today. Job gains occurred in several industries, including leisure
\nand hospitality, construction, health care, and transportation and warehousing. <\/p>\n
_____________________________________________________________________________
\n| \t\t\t\t\t\t\t\t\t |
\n| Changes to The Employment Situation Data\t\t |
\n|\t\t\t\t\t\t\t\t\t |
\n| Establishment survey data have been revised as a result of the annual |
\n| benchmarking process and the updating of seasonal adjustment factors. |
\n| Also, household survey data for January 2019 reflect updated population |
\n| estimates. See the notes beginning at the end of this news release for |
\n| more information about these changes.\t\t\t\t |
\n|_____________________________________________________________________________|<\/p>\n
Household Survey Data<\/p>\n
Both the unemployment rate, at 4.0 percent, and the number of unemployed persons,
\nat 6.5 million, edged up in January. The impact of the partial federal government
\nshutdown contributed to the uptick in these measures. Among the unemployed, the
\nnumber who reported being on temporary layoff increased by 175,000. This figure
\nincludes furloughed federal employees who were classified as unemployed on
\ntemporary layoff under the definitions used in the household survey. (See tables
\nA-1 and A-11. For information about annual population adjustments to the household
\nsurvey estimates, see the note at the end of this release and tables B and C. For
\nmore information on the classification of workers affected by the partial federal
\ngovernment shutdown, see the box note at the end of this news release.) <\/p>\n
Among the major worker groups, the unemployment rate for Hispanics increased to
\n4.9 percent in January. The jobless rates for adult men (3.7 percent), adult
\nwomen (3.6 percent), teenagers (12.9 percent), Whites (3.5 percent), Blacks
\n(6.8 percent), and Asians (3.1 percent) showed little change over the month. (See
\ntables A-1, A-2, and A-3.)<\/p>\n
In January, the number of long-term unemployed (those jobless for 27 weeks or more)
\nwas little changed at 1.3 million and accounted for 19.3 percent of the unemployed.
\n(See table A-12.)<\/p>\n
The labor force participation rate, at 63.2 percent, and the employment-population
\nratio, at 60.7 percent, changed little over the month; both measures were up by 0.5
\npercentage point over the year. (See table A-1.)<\/p>\n
The number of persons employed part time for economic reasons (sometimes referred
\nto as involuntary part-time workers) increased by about one-half million to 5.1
\nmillion in January. Nearly all of this increase occurred in the private sector and
\nmay reflect the impact of the partial federal government shutdown. (Persons employed
\npart time for economic reasons would have preferred full-time employment but were
\nworking part time because their hours had been reduced or they were unable to find
\nfull-time jobs.) (See table A-8.)<\/p>\n
In January, 1.6 million persons were marginally attached to the labor force,
\nessentially unchanged from a year earlier. (Data are not seasonally adjusted.) These
\nindividuals were not in the labor force, wanted and were available for work, and
\nhad looked for a job sometime in the prior 12 months. They were not counted as
\nunemployed because they had not searched for work in the 4 weeks preceding the
\nsurvey. (See table A-16.)<\/p>\n
Among the marginally attached, there were 426,000 discouraged workers in January,
\nlittle different than a year earlier. (Data are not seasonally adjusted.)
\nDiscouraged workers are persons not currently looking for work because they
\nbelieve no jobs are available for them. The remaining 1.2 million persons
\nmarginally attached to the labor force in January had not searched for work for
\nreasons such as school attendance or family responsibilities. (See table A-16.)<\/p>\n
Establishment Survey Data<\/p>\n
Total nonfarm payroll employment increased by 304,000 in January, compared with
\nan average monthly gain of 223,000 in 2018. In January, employment grew in several
\nindustries, including leisure and hospitality, construction, health care, and
\ntransportation and warehousing. There were no discernible impacts of the partial
\nfederal government shutdown on the estimates of employment, hours, and earnings
\nfrom the establishment survey. (See table B-1. For information about the annual
\nbenchmark process, see the note at the end of this release and table A. For more
\ninformation on the classification of workers affected by the partial federal
\ngovernment shutdown, see the box note at the end of this news release.) <\/p>\n
In January, employment in leisure and hospitality rose by 74,000. Within the
\nindustry, job gains occurred in food services and drinking places (+37,000) and in
\namusements, gambling, and recreation (+32,000). Over the year, leisure and
\nhospitality has added 410,000 jobs. <\/p>\n
Construction employment rose by 52,000 in January. Job gains occurred among
\nspecialty trade contractors, with increases in both the nonresidential (+19,000)
\nand residential (+15,000) components. Employment also rose in heavy and civil
\nengineering construction (+10,000) and residential building (+9,000). Construction
\nhas added 338,000 jobs over the past 12 months.<\/p>\n
Employment in health care increased by 42,000 in January. Within the industry, job
\ngains occurred in ambulatory health care services (+22,000) and hospitals (+19,000).
\nHealth care has added 368,000 jobs over the past year.<\/p>\n
Over the month, employment in transportation and warehousing rose by 27,000,
\nfollowing little change in December. In January, job gains occurred in warehousing
\nand storage (+15,000) and among couriers and messengers (+7,000). Over the year,
\nemployment in transportation and warehousing has increased by 219,000.<\/p>\n
In January, retail trade employment edged up by 21,000. Job gains occurred in
\nsporting goods, hobby, book, and music stores (+17,000), while general merchandise
\nstores lost jobs (-12,000). Employment in retail trade has shown little net change
\nover the past 12 months (+26,000). <\/p>\n
Mining employment increased by 7,000 in January. The industry has added 64,000 jobs
\nover the year, almost entirely in support activities for mining.<\/p>\n
Employment in professional and business services continued to trend up over the
\nmonth (+30,000) and has increased by 546,000 in the past 12 months.<\/p>\n
Employment in manufacturing continued to trend up in January (+13,000). Over-the-
\nmonth job gains occurred in durable goods (+20,000), while employment in nondurable
\ngoods changed little (-7,000). Manufacturing employment has increased by 261,000
\nover the year, with more than four-fifths of the gain in durable goods industries.<\/p>\n
Employment in federal government was essentially unchanged in January (+1,000).
\nFederal employees on furlough during the partial government shutdown were counted as
\nemployed in the establishment survey because they worked or received pay (or will
\nreceive pay) for the pay period that included the 12th of the month. <\/p>\n
Employment showed little change over the month in other major industries, including
\nwholesale trade, information, and financial activities.<\/p>\n
The average workweek for all employees on private nonfarm payrolls was unchanged at
\n34.5 hours in January. In manufacturing, both the workweek and overtime decreased by
\n0.1 hour to 40.8 hours and 3.5 hours, respectively. The average workweek for
\nproduction and nonsupervisory employees on private nonfarm payrolls held at 33.7
\nhours. (See tables B-2 and B-7.)<\/p>\n
In January, average hourly earnings for all employees on private nonfarm payrolls
\nrose by 3 cents to $27.56, following a 10-cent gain in December. Over the year,
\naverage hourly earnings have increased by 85 cents, or 3.2 percent. Average hourly
\nearnings of private-sector production and nonsupervisory employees increased by 3
\ncents to $23.12 in January. (See tables B-3 and B-8.)<\/p>\n
The change in total nonfarm payroll employment for November was revised up from
\n+176,000 to +196,000, and the change for December was revised down from +312,000 to
\n+222,000. With these revisions, employment gains in November and December combined
\nwere 70,000 less than previously reported. After revisions, job gains have averaged
\n241,000 per month over the last 3 months. (Monthly revisions result from additional
\nreports received from businesses and government agencies since the last published
\nestimates and from the recalculation of seasonal factors. The annual benchmark process
\nalso contributed to the November and December revisions.) <\/p>\n
_____________
\nThe Employment Situation for February is scheduled to be released on Friday,
\nMarch 8, 2019, at 8:30 a.m. (EST).<\/p>\n
_____________________________________________________________________________
\n |\t\t\t\t\t\t\t\t\t |
\n | Partial Federal Government Shutdown\t\t |
\n |\t\t\t\t\t\t\t\t\t\t|
\n | Some federal government agencies were shut down or operating at reduced\t|
\n | staffing levels during a lapse in appropriations from December 22, 2018,\t|
\n | through January 25, 2019. The Bureau of Labor Statistics (BLS) was\t\t|
\n | funded during the shutdown period and was operating as usual. Data\t\t|
\n | collection for the household and establishment surveys occurred as\t\t|
\n | scheduled.\t\t\t\t\t\t\t\t\t|
\n |\t\t\t\t\t\t\t\t\t\t|
\n | In the household survey, individuals are classified as employed,\t\t|
\n | unemployed, or not in the labor force based on their answers to a series\t|
\n | of questions about their activities during the survey reference week.\t|
\n | Workers who indicated that they were not working during the entire\t\t|
\n | survey reference week and expected to be recalled to their jobs should\t|
\n | be classified as unemployed on temporary layoff. In January 2019, there\t|
\n | was an increase in the number of federal workers who were classified as\t|
\n | unemployed on temporary layoff. However, there also was an increase in\t|
\n | the number of federal workers who were classified as employed but absent\t|
\n | from work. BLS analysis of the underlying data indicates that this group\t|
\n | included federal workers affected by the shutdown who also should have\t|
\n | been classified as unemployed on temporary layoff. Such a\t\t\t|
\n | misclassification is an example of nonsampling error and can occur when\t|
\n | respondents misunderstand questions or interviewers record answers\t\t|
\n | incorrectly. If the federal workers who were recorded as employed but\t|
\n | absent from work had been classified as unemployed on temporary layoff,\t|
\n | the overall unemployment rate would have been slightly higher than\t\t|
\n | reported. However, according to usual practice, the data from the\t\t|
\n | household survey are accepted as recorded. To maintain data integrity,\t|
\n | no ad hoc actions are taken to reassign survey responses. \t\t\t|
\n |\t\t\t\t\t\t\t\t\t\t|
\n | In the establishment survey, businesses and government agencies report the |
\n | number of people on payrolls during the pay period that includes the 12th |
\n | of the month. Individuals who work or receive pay for any part of the pay |
\n | period are\tdefined as employed. Federal employees on furlough during the |
\n | partial federal government shutdown were considered employed in the |
\n | establishment survey because they worked or received pay (or will receive |
\n | pay) for the pay period that included the 12th of the month. Other workers |
\n | (including\tfederal contractors) who did not work or receive pay during the |
\n | partial federal government shutdown were not counted among the employed.\t|
\n |\t\t\t\t\t\t\t\t\t\t|
\n | Additional information is available online at\t\t\t\t|
\n | www.bls.gov\/bls\/shutdown_2019_empsit_qa.pdf.\t\t\t\t|
\n |_____________________________________________________________________________|\t<\/p>\n
\t Revisions to Establishment Survey Data<\/p>\n
In accordance with annual practice, the establishment survey data released today
\nhave been benchmarked to reflect comprehensive counts of payroll jobs for March
\n2018. These counts are derived principally from the Quarterly Census of Employment
\nand Wages (QCEW), which counts jobs covered by the Unemployment Insurance (UI) tax
\nsystem. The benchmark process results in revisions to not seasonally adjusted data
\nfrom April 2017 forward. Seasonally adjusted data from January 2014 forward are
\nsubject to revision. In addition, data for some series prior to 2014, both
\nseasonally adjusted and unadjusted, incorporate other revisions. <\/p>\n
The total nonfarm employment level for March 2018 was revised downward by 1,000
\n(-16,000 on a not seasonally adjusted basis, or less than -0.05 percent). The
\nabsolute average benchmark revision over the past 10 years is 0.2 percent. <\/p>\n
The effect of these revisions on the underlying trend in nonfarm payroll employment
\nwas minor. For example, the over-the-year change in total nonfarm employment for 2018
\nwas revised from +2,638,000 to +2,674,000 (seasonally adjusted). Table A presents
\nrevised total nonfarm employment data on a seasonally adjusted basis from January to
\nDecember 2018.<\/p>\n
All revised historical establishment survey data are available on the BLS website at
\nwww.bls.gov\/ces\/data.htm. In addition, an article that discusses the benchmark and
\npost-benchmark revisions and other technical issues is available at
\nwww.bls.gov\/web\/empsit\/cesbmart.htm. <\/p>\n
Table A. Revisions to total nonfarm employment, January to December 2018, seasonally
\nadjusted
\n(Numbers in thousands)
\n—————————————————————————————
\n | |
\n | Level | Over-the-month change
\n |———————————————————————
\n Year and month | As | | | As | |
\n |previously | As | Difference |previously| As | Difference
\n |published | revised | |published | revised |
\n—————————————————————————————
\n | | | | | |
\n 2018 | | | | | |
\n | | | | | |
\n January………| 147,801 | 147,767 | -34 | 176 | 171 | -5
\n February……..| 148,125 | 148,097 | -28 | 324 | 330 | 6
\n March………..| 148,280 | 148,279 | -1 | 155 | 182 | 27
\n April………..| 148,455 | 148,475 | 20 | 175 | 196 | 21
\n May………….| 148,723 | 148,745 | 22 | 268 | 270 | 2
\n June…………| 148,931 | 149,007 | 76 | 208 | 262 | 54
\n July…………| 149,096 | 149,185 | 89 | 165 | 178 | 13
\n August……….| 149,382 | 149,467 | 85 | 286 | 282 | -4
\n September…….| 149,501 | 149,575 | 74 | 119 | 108 | -11
\n October………| 149,775 | 149,852 | 77 | 274 | 277 | 3
\n November……..| 149,951 | 150,048 | 97 | 176 | 196 | 20
\n December (p)….| 150,263 | 150,270 | 7 | 312 | 222 | -90
\n—————————————————————————————
\n (p) = preliminary.<\/p>\n
Adjustments to Population Estimates for the Household Survey<\/p>\n
Effective with data for January 2019, updated population estimates were incorporated into
\nthe household survey. Population estimates for the household survey are developed by the
\nU.S. Census Bureau. Each year, the Census Bureau updates the estimates to reflect new
\ninformation and assumptions about the growth of the population since the previous decennial
\ncensus. The change in population reflected in the new estimates results from adjustments
\nfor net international migration, updated vital statistics, and estimation methodology
\nimprovements. <\/p>\n
In accordance with usual practice, BLS will not revise the official household survey
\nestimates for December 2018 and earlier months. To show the impact of the population
\nadjustments, however, differences in selected December 2018 labor force series based on
\nthe old and new population estimates are shown in table B.<\/p>\n
The adjustments decreased the estimated size of the civilian noninstitutional population
\nin December by 800,000, the civilian labor force by 506,000, employment by 488,000,
\nunemployment by 18,000 and the number of persons not in the labor force was by 294,000.
\nThe total unemployment rate, employment-population ratio, and labor force participation
\nrate were unaffected.<\/p>\n
Data users are cautioned that these annual population adjustments can affect the comparability
\nof household data series over time. Table C shows the effect of the introduction of new
\npopulation estimates on the comparison of selected labor force measures between December 2018
\nand January 2019. Additional information on the population adjustments and their effect on
\nnational labor force estimates is available at
\nhttps:\/\/www.bls.gov\/web\/empsit\/cps-pop-control-adjustments.pdf.<\/p>\n
Table B. Effect of the updated population controls on December 2018 estimates by sex, race, and Hispanic or Latino ethnicity, not seasonally adjusted
\n(Numbers in thousands)
\nCategory\tTotal\tMen\tWomen\tWhite\tBlack or
\n African
\n Ameri-
\n can\tAsian\tHispanic or
\n Latino
\n ethnicity
\nCivilian noninstitutional population<\/p>\n
\t-800\t-412\t-389\t-455\t-119\t-224\t-275
\n Civilian labor force<\/p>\n
\t-506\t-281\t-226\t-303\t-67\t-134\t-183
\n Participation rate<\/p>\n
0\t0\t0\t0\t0\t0.1\t0
\n Employed<\/p>\n
\t-488\t-270\t-217\t-292\t-62\t-131\t-176
\n Employment-population ratio<\/p>\n
\t0\t0\t0\t0\t0\t0.1\t0
\n Unemployed<\/p>\n
\t\t-18\t-11\t-8\t-12\t-4\t-4\t-8
\n Unemployment rate<\/p>\n
\t0\t0\t0\t0\t0\t0\t0
\n Not in labor force<\/p>\n
\t-294\t-131\t-164\t-153\t-53\t-90\t-91<\/p>\n
\t\t\t\t\tNOTE: 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.<\/p>\n
Table C. December 2018-January 2019 changes in selected labor force measures, with adjustments for population control effects
\n(Numbers in thousands)
\nCategory\tDec.-Jan.
\n change, as
\n published\t2019
\n population
\n control effect\tDec.-Jan. change, after
\n removing the
\n population control
\n effect(1)
\nCivilian noninstitutional population<\/p>\n
\t-649\t-800\t151
\n Civilian labor force<\/p>\n
\t-11\t-506\t495
\n Participation rate<\/p>\n
0.1\t0\t0.1
\n Employed<\/p>\n
\t-251\t-488\t237
\n Employment-population ratio<\/p>\n
\t0.1\t0\t0.1
\n Unemployed<\/p>\n
\t\t241\t-18\t259
\n Unemployment rate<\/p>\n
\t0.1\t0\t0.1
\n Not in labor force<\/p>\n
\t-639\t-294\t-345<\/p>\n
\t\t\t\t\t\t(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.<\/p>\n
\t\t\t\t\tNOTE: Detail may not sum to totals because of rounding.<\/p>\n
Employment Situation Summary Table A. Household data, seasonally adjusted
\nEmployment Situation Summary Table B. Establishment data, seasonally adjusted
\nEmployment Situation Frequently Asked Questions
\nEmployment Situation Technical Note
\nTable A-1. Employment status of the civilian population by sex and age
\nTable A-2. Employment status of the civilian population by race, sex, and age
\nTable A-3. Employment status of the Hispanic or Latino population by sex and age
\nTable A-4. Employment status of the civilian population 25 years and over by educational attainment
\nTable A-5. Employment status of the civilian population 18 years and over by veteran status, period of service, and sex, not seasonally adjusted
\nTable A-6. Employment status of the civilian population by sex, age, and disability status, not seasonally adjusted
\nTable A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted
\nTable A-8. Employed persons by class of worker and part-time status
\nTable A-9. Selected employment indicators
\nTable A-10. Selected unemployment indicators, seasonally adjusted
\nTable A-11. Unemployed persons by reason for unemployment
\nTable A-12. Unemployed persons by duration of unemployment
\nTable A-13. Employed and unemployed persons by occupation, not seasonally adjusted
\nTable A-14. Unemployed persons by industry and class of worker, not seasonally adjusted
\nTable A-15. Alternative measures of labor underutilization
\nTable A-16. Persons not in the labor force and multiple jobholders by sex, not seasonally adjusted
\nTable B-1. Employees on nonfarm payrolls by industry sector and selected industry detail
\nTable B-2. Average weekly hours and overtime of all employees on private nonfarm payrolls by industry sector, seasonally adjusted
\nTable B-3. Average hourly and weekly earnings of all employees on private nonfarm payrolls by industry sector, seasonally adjusted
\nTable B-4. Indexes of aggregate weekly hours and payrolls for all employees on private nonfarm payrolls by industry sector, seasonally adjusted
\nTable B-5. Employment of women on nonfarm payrolls by industry sector, seasonally adjusted
\nTable B-6. Employment of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)
\nTable B-7. Average weekly hours and overtime of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)
\nTable B-8. Average hourly and weekly earnings of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)
\nTable B-9. Indexes of aggregate weekly hours and payrolls for production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted(1)<\/p>\n
Access to historical data for the “A” tables of the Employment Situation News Release
\nAccess to historical data for the “B” tables of the Employment Situation News Release
\nHTML version of the entire news release
\nThe PDF version of the news release
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\nTable of Contents
\nLast Modified Date: February 01, 2019
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\nwww.bls.gov\/CES | Telephone: 1-202-691-6555 | Contact CES<\/p>\n","protected":false},"excerpt":{"rendered":"
Washington, DC…Total nonfarm payroll employment increased by 304,000 in January, and the unemployment rate edged up to 4.0 percent, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in several industries, including leisure and hospitality, construction, health care, and transportation and warehousing. THE EMPLOYMENT SITUATION — JANUARY 2019 Total nonfarm payroll employment increased […]<\/p>\n","protected":false},"author":1,"featured_media":6322,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_cbd_carousel_blocks":"[]","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3,20,149,5,1],"tags":[],"class_list":["post-73841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-featured","category-financial","category-government","category-news","last_archivepost"],"jetpack_featured_media_url":"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2015\/07\/blslogo.jpg","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/73841","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=73841"}],"version-history":[{"count":0,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/73841\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/media\/6322"}],"wp:attachment":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=73841"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=73841"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=73841"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}