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Port du masque en entreprise : êtes-vous concerné

Port du masque en entreprise : êtes-vous concerné

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Port du masque en entreprise : êtes-vous concerné ?

Par Bercy Infos, le 31/08/2020 
 
 
 

Afin de freiner la circulation du virus, le port du masque devient systématique en entreprise à compter du 1er septembre. Dans quels cas devez-vous porter un masque sur votre lieu de travail ? Existe-t-il des dérogations à cette règle ? On vous répond !

Masque obligatoire en entreprise : pourquoi ?

Le port du masque en entreprise a été décidé par le Gouvernement à la suite de l’avis rendu par le Haut Conseil de la santé publique (HCSP) recommandant le port du masque dans les lieux collectifs clos.

L’objectif de cette mesure est d’éviter un rebond de l’épidémie en protégeant la santé de chacun sur son lieu de travail, mais aussi de ses proches une fois rentré à son domicile.

Dans quelles situations suis-je tenu de porter un masque au travail ?

Le port du masque en entreprise est systématique dans les lieux de travail clos réunissant plusieurs personnes.

Dans les lieux suivants notamment, le port du masque devient systématique à compter du 1er septembre :

  • open space
  • salle de réunion
  • espace de circulation
  • lieu de restauration collective
  • vestiaire etc.

Existe-il des dérogations au port du masque systématique au travail ?

Je suis seul dans mon bureau : dois-je porter un masque ?

Si vous travaillez au sein d’un bureau individuel, vous n’êtes pas tenu de porter un masque dans votre bureau.

Toutefois, lors de vos déplacements dans l’entreprise (en réunion, dans les couloirs etc.) le port du masque demeure nécessaire.

Je travaille dans un atelier : dois-je porter un masque ?

Si vous travaillez en atelier et êtes amené à effectuer des efforts physiques plus intenses que la moyenne, vous pouvez bénéficier d'une dérogation au port du masque si :

  • les conditions de ventilation et d'aération sont conformes à la réglementation
  • le nombre de personnes présentes dans la zone de travail est limité et celles-ci sont espacées et portent une visière.

Je travaille dans un bureau partagé : dois-je porter un masque toute la journée ?

Au sein des bureaux partagés, ou en open space, vous pouvez, selon certaines conditions, fixées en fonction du niveau de circulation du virus dans votre département, enlever votre masque de manière temporaire au cours de votre journée de travail.

Retrouvez l'ensemble du protocole national pour assurer la santé et la sécurité des salariés en entreprise face à l’épidémie de COVID-19

Les administrations sont-elles concernées par l’obligation du port du masque ?

Oui ! Que vous travailliez au sein d’une entreprise privée ou d’une administration publique, les mêmes règles s’appliquent.

Mon employeur doit-il me fournir un masque ?

Oui ! Sur votre lieu de travail, le masque est un équipement de protection individuelle à la charge de votre employeur.

Aller plus loin

Consulter notre FAQ sur les différents types de masques

 

Des infos 100% utiles et 100% fiables sur la fiscalité, les aides, la consommation, vos obligations, le numérique… pour vous aider au quotidien. En savoir plus sur Bercy infos.

Pour être averti chaque semaine des dernières infos, abonnez-vous aux lettres d’information Bercy infos.

For release 10:00 a.m. (ET) Friday, August 21, 2020 USDL-20-1589 Technical information: Employment: sminfo@bls.gov • www.bls.gov/sae Unemployment: lausinfo@bls.gov • www.bls.gov/lau Media contact: (202) 691-5902 • PressOffice@bls.gov STATE EMPLOYMENT AND UNEMPLOYMENT — JULY 2020 Unemployment rates were lower in July in 30 states, higher in 9 states, and stable in 11 states and the District of Columbia, the U.S. Bureau of Labor Statistics reported today. All 50 states and the District had jobless rate increases from a year earlier. The national unemployment rate fell by 0.9 percentage point over the month to 10.2 percent but was 6.5 points higher than in July 2019. Nonfarm payroll employment increased in 40 states and the District of Columbia, decreased in 1 state, and was essentially unchanged in 9 states in July 2020. Over the year, nonfarm payroll employment decreased in 49 states and the District and was essentially unchanged in 1 state. This news release presents statistics from two monthly programs. The civilian labor force and unemployment data are modeled based largely on a survey of households. These data pertain to individuals by where they reside. The employment data are from an establishment survey that measures nonfarm employment, hours, and earnings by industry. These data pertain to jobs on payrolls defined by where the establishments are located. For more information about the concepts and statistical methodologies used by these two programs, see the Technical Note. Unemployment Massachusetts had the highest unemployment rate in July, 16.1 percent, followed by New York, 15.9 percent. The rates in Connecticut (10.2 percent), New Mexico (12.7 percent), and New York (15.9 percent) set new series highs. (All state series begin in 1976.) Utah had the lowest unemployment rate, 4.5 percent, followed by Nebraska, 4.8 percent, and Idaho, 5.0 percent. In total, 28 states and the District of Columbia had jobless rates lower than the U.S. figure of 10.2 percent, 11 states had higher rates, and 11 states had rates that were not appreciably different from that of the nation. (See tables A and 1 and map 1.) In July, the largest unemployment rate decrease occurred in Michigan (-6.2 percentage points). Rates declined over the month by at least 2.0 percentage points in an additional six states. The largest overthe-month jobless rate increases occurred in New Mexico (+4.3 percentage points) and Maine (+3.2 points). (See table B.) -2- The largest unemployment rate increases from July 2019 occurred in Massachusetts (+13.2 percentage points) and New York (+12.0 points), with another three states experiencing increases of 10.0 points or more. The smallest over-the-year rate increases occurred in Kentucky (+1.4 percentage points) and Nebraska (+1.7 points). (See table C.) Nonfarm Payroll Employment Nonfarm payroll employment increased in 40 states and the District of Columbia in July 2020. The largest job gains occurred in New York (+176,600), California (+140,400), and New Jersey (+129,900). The largest percentage increases occurred in New Jersey (+3.6 percent), Rhode Island (+3.1 percent), and Michigan and Missouri (+2.7 percent each). Employment decreased in New Mexico (-6,000, or -0.8 percent). (See tables D and 3.) Over the year, nonfarm payroll employment decreased in 49 states and the District of Columbia and was essentially unchanged in Idaho. The largest job declines occurred in California (-1,643,600), New York (-1,345,800), and Texas (-694,400). The smallest declines occurred in Wyoming (-20,200), South Dakota (-20,300), and Montana (-23,600). The largest percentage declines occurred in Hawaii (-16.1 percent), New York (-13.7 percent), and Massachusetts (-12.2 percent). The smallest percentage declines occurred in Utah (-2.0 percent), Arizona (-3.6 percent), and Mississippi (-3.7 percent). (See table E and map 2.) _____________ The Metropolitan Area Employment and Unemployment news release for July is scheduled to be released on Wednesday, September 2, 2020, at 10:00 a.m. (ET). The State Employment and Unemployment news release for August is scheduled to be released on Friday, September 18, 2020, at 10:00 a.m. (ET). -3- Coronavirus (COVID-19) Pandemic Impact on July 2020 Establishment and Household Survey Data BLS has continued to review all estimation and methodological procedures for the establishment survey, which included the review of data, estimation processes, the application of the birth-death model, and seasonal adjustment. Business births and deaths cannot be adequately captured by the establishment survey as they occur. Therefore, the Current Employment Statistics (CES) program uses a model to account for the relatively stable net employment change generated by business births and deaths. Due to the impact of COVID-19, the relationship between business births and deaths is no longer stable. Typically, reports with zero employment are not included in estimation. For the June final and July preliminary estimates, CES included a portion of these reports in the estimates and made modifications to the birth-death model. In addition for both months, the establishment survey included a portion of the reports that returned to reporting positive employment from reporting zero employment. For more information, see www.bls.gov/web/empsit/cesbd.htm . In the establishment survey, workers who are paid by their employer for all or any part of the pay period including the 12th of the month are counted as employed, even if they were not actually at their jobs. Workers who are temporarily or permanently absent from their jobs and are not being paid are not counted as employed, even if they are continuing to receive benefits. The length of the reference period does vary across the respondents in the establishment survey; one-third of businesses have a weekly pay period, slightly over 40 percent a bi-weekly, about 20 percent semi-monthly, and a small amount monthly. For the July 2020 estimates of household employment and unemployment from the Local Area Unemployment Statistics (LAUS) program, BLS continued to implement level-shift outliers in the employment and/or unemployment inputs to the models, based on statistical evaluation of movements in each area's inputs. Both the Current Population Survey inputs, which serve as the primary inputs to the LAUS models, and the nonfarm payroll employment and unemployment insurance claims covariates were examined for outliers. The resulting implementation of level shifts preserved movements in the published estimates that the models otherwise would have discounted, without requiring changes to how the models create estimates at other points in the time series. To mitigate distortions due to the complex relationships between level shifts in the household survey and covariate inputs to the state models, BLS retained the same modifications to the LAUS seasonal adjustment and smoothing procedures that had been introduced during the May 2020 cycle. Specifically, level shifts were isolated from the estimation of seasonal factors, and the Reproducing Kernel Hilbert Space filter was not used to smooth the seasonally adjusted estimates. It is anticipated that these modifications will be necessary for as long as complex outlier treatments are deemed necessary for the model inputs. The "Frequently asked questions" document at www.bls.gov/covid19/employment-situation-covid19- faq-july-2020.htm extensively discusses the impact of a misclassification in the household survey on the national estimates for July 2020. Despite the considerable decline in its degree relative to prior months, this misclassification continued to be widespread geographically, with BLS analysis indicating that most states again were affected to at least some extent. However, according to usual practice, the data from the household survey are accepted as recorded. To maintain data integrity, no ad hoc actions are taken to reclassify survey responses. Hence, the household survey estimates of employed and unemployed people -4- that serve as the primary inputs to the state models were affected to varying degrees by the misclassification, which in turn affected the official LAUS estimates for July 2020. Household data for Puerto Rico are not modeled, but rather are derived from a monthly household survey similar to the Current Population Survey. Due to the effects of the pandemic and efforts to contain the virus, Puerto Rico had not been able to conduct its household survey for March or April 2020. Data collection resumed effective May 2020, and BLS resumed publication of the not seasonally adjusted data beginning with the June 2020 issuance of this news release on July 17, 2020. Publication of seasonally adjusted data for Puerto Rico will resume at a later time, pending further research. The Puerto Rico Department of Labor has reported a misclassification in its household survey since May 2020 similar in nature to the misclassification in the Current Population Survey. -5- State Rate p United States 1 ………………………………………… 10.2 Alabama ........................................................... 7.9 Alaska .............................................................. 11.6 Arkansas .......................................................... 7.1 California .......................................................... 13.3 Colorado ........................................................... 7.4 District of Columbia ........................................... 8.4 Florida .............................................................. 11.3 Georgia ............................................................ 7.6 Hawaii .............................................................. 13.1 Idaho ................................................................ 5.0 Illinois ............................................................... 11.3 Indiana ............................................................. 7.8 Iowa ................................................................. 6.6 Kansas ............................................................. 7.2 Kentucky .......................................................... 5.7 Maryland ........................................................... 7.6 Massachusetts ................................................... 16.1 Michigan ........................................................... 8.7 Minnesota ......................................................... 7.7 Missouri ............................................................ 6.9 Montana ............................................................ 6.4 Nebraska .......................................................... 4.8 Nevada ............................................................. 14.0 New Hampshire ................................................. 8.1 New Jersey ....................................................... 13.8 New Mexico ....................................................... 12.7 New York .......................................................... 15.9 North Carolina ................................................... 8.5 North Dakota ..................................................... 6.6 Ohio ................................................................. 8.9 Oklahoma .......................................................... 7.1 Pennsylvania ..................................................... 13.7 South Carolina .................................................. 8.6 South Dakota .................................................... 6.3 Texas ................................................................ 8.0 Utah ................................................................. 4.5 Vermont ............................................................ 8.3 Virginia ............................................................. 8.0 Wisconsin ......................................................... 7.0 Wyoming .......................................................... 7.1 1 Data are not preliminary. p = preliminary. Table A. States with unemployment rates significantly different from that of the U.S., July 2020, seasonally adjusted -6- Table B. States with statistically significant unemployment rate changes from June 2020 to July 2020, seasonally adjusted June 2020 July 2020 p Alaska ........................................ 12.4 11.6 -0.8 Arizona ....................................... 10.0 10.6 .6 Arkansas .................................... 8.1 7.1 -1.0 California .................................... 14.9 13.3 -1.6 Colorado ..................................... 10.6 7.4 -3.2 Delaware .................................... 12.6 10.4 -2.2 Florida ........................................ 10.3 11.3 1.0 Idaho .......................................... 5.8 5.0 -.8 Illinois ......................................... 14.5 11.3 -3.2 Indiana ....................................... 11.1 7.8 -3.3 Iowa ........................................... 8.4 6.6 -1.8 Kentucky .................................... 4.4 5.7 1.3 Maine ......................................... 6.7 9.9 3.2 Maryland ..................................... 8.3 7.6 -.7 Massachusetts ............................. 17.7 16.1 -1.6 Michigan ..................................... 14.9 8.7 -6.2 Minnesota ................................... 8.6 7.7 -.9 Mississippi .................................. 8.8 10.8 2.0 Missouri ...................................... 7.8 6.9 -.9 Montana ...................................... 7.2 6.4 -.8 Nebraska .................................... 5.5 4.8 -.7 Nevada ....................................... 15.2 14.0 -1.2 New Hampshire ........................... 9.2 8.1 -1.1 New Jersey ................................. 16.8 13.8 -3.0 New Mexico ................................. 8.4 12.7 4.3 North Carolina ............................. 7.5 8.5 1.0 North Dakota ............................... 7.4 6.6 -.8 Ohio ........................................... 11.0 8.9 -2.1 Oklahoma .................................... 6.4 7.1 .7 Oregon ....................................... 11.6 10.4 -1.2 Pennsylvania ............................... 13.2 13.7 .5 Rhode Island ............................... 12.6 11.2 -1.4 South Dakota .............................. 7.2 6.3 -.9 Texas .......................................... 8.4 8.0 -.4 Utah ........................................... 5.3 4.5 -.8 Vermont ...................................... 9.5 8.3 -1.2 West Virginia .............................. 10.5 9.9 -.6 Wisconsin ................................... 8.6 7.0 -1.6 Wyoming .................................... 7.6 7.1 -.5 p = preliminary. State Rate Over-the-month change p -7- Table C. States with statistically significant unemployment rate changes from July 2019 to July 2020, seasonally adjusted July 2019 July 2020 p Alabama ..................................... 2.8 7.9 5.1 Alaska ........................................ 6.2 11.6 5.4 Arizona ....................................... 4.7 10.6 5.9 Arkansas .................................... 3.6 7.1 3.5 California .................................... 4.0 13.3 9.3 Colorado ..................................... 2.7 7.4 4.7 Connecticut ................................. 3.7 10.2 6.5 Delaware .................................... 3.8 10.4 6.6 District of Columbia ..................... 5.4 8.4 3.0 Florida ........................................ 3.1 11.3 8.2 Georgia ...................................... 3.4 7.6 4.2 Hawaii ........................................ 2.7 13.1 10.4 Idaho .......................................... 2.9 5.0 2.1 Illinois ......................................... 3.9 11.3 7.4 Indiana ....................................... 3.2 7.8 4.6 Iowa ........................................... 2.7 6.6 3.9 Kansas ....................................... 3.1 7.2 4.1 Kentucky .................................... 4.3 5.7 1.4 Louisiana .................................... 4.7 9.4 4.7 Maine ......................................... 2.9 9.9 7.0 Maryland ..................................... 3.6 7.6 4.0 Massachusetts ............................. 2.9 16.1 13.2 Michigan ..................................... 4.1 8.7 4.6 Minnesota ................................... 3.2 7.7 4.5 Mississippi .................................. 5.5 10.8 5.3 Missouri ...................................... 3.2 6.9 3.7 Montana ...................................... 3.5 6.4 2.9 Nebraska .................................... 3.1 4.8 1.7 Nevada ....................................... 3.9 14.0 10.1 New Hampshire ........................... 2.6 8.1 5.5 New Jersey ................................. 3.3 13.8 10.5 New Mexico ................................. 4.8 12.7 7.9 New York .................................... 3.9 15.9 12.0 North Carolina ............................. 3.9 8.5 4.6 North Dakota ............................... 2.4 6.6 4.2 Ohio ........................................... 4.2 8.9 4.7 Oklahoma .................................... 3.3 7.1 3.8 Oregon ....................................... 3.7 10.4 6.7 Pennsylvania ............................... 4.4 13.7 9.3 Rhode Island ............................... 3.6 11.2 7.6 South Carolina ............................ 2.7 8.6 5.9 South Dakota .............................. 3.3 6.3 3.0 Tennessee .................................. 3.4 9.5 6.1 Texas .......................................... 3.5 8.0 4.5 Utah ........................................... 2.5 4.5 2.0 Vermont ...................................... 2.4 8.3 5.9 Virginia ....................................... 2.7 8.0 5.3 Washington ................................. 4.2 10.3 6.1 West Virginia .............................. 4.8 9.9 5.1 Wisconsin ................................... 3.4 7.0 3.6 Wyoming .................................... 3.7 7.1 3.4 p = preliminary. State Rate Over-the-year change p -8- Table D. States with statistically significant employment changes from June 2020 to July 2020, seasonally adjusted June July 2020 2020 p Level Percent Alabama ..................................... 1,953,400 1,972,300 18,900 1.0 California .................................... 15,655,700 15,796,100 140,400 .9 Connecticut ................................. 1,513,900 1,540,400 26,500 1.8 Delaware .................................... 414,800 422,100 7,300 1.8 District of Columbia ..................... 739,000 746,800 7,800 1.1 Florida ........................................ 8,387,800 8,465,700 77,900 .9 Georgia ...................................... 4,371,400 4,415,200 43,800 1.0 Idaho .......................................... 737,300 751,300 14,000 1.9 Illinois ......................................... 5,524,200 5,617,400 93,200 1.7 Indiana ....................................... 2,968,600 3,012,000 43,400 1.5 Iowa ........................................... 1,459,300 1,488,600 29,300 2.0 Kansas ....................................... 1,345,000 1,355,000 10,000 .7 Kentucky .................................... 1,764,200 1,790,600 26,400 1.5 Louisiana .................................... 1,816,900 1,835,700 18,800 1.0 Maine ......................................... 566,600 576,700 10,100 1.8 Maryland ..................................... 2,511,100 2,565,000 53,900 2.1 Massachusetts ............................. 3,171,700 3,243,800 72,100 2.3 Michigan ..................................... 3,838,200 3,941,400 103,200 2.7 Minnesota ................................... 2,690,700 2,723,200 32,500 1.2 Mississippi .................................. 1,104,600 1,115,000 10,400 .9 Missouri ...................................... 2,691,800 2,765,700 73,900 2.7 Montana ...................................... 458,100 461,100 3,000 .7 Nebraska .................................... 972,900 987,000 14,100 1.4 Nevada ....................................... 1,266,300 1,281,100 14,800 1.2 New Hampshire ........................... 607,900 621,100 13,200 2.2 New Jersey ................................. 3,622,000 3,751,900 129,900 3.6 New Mexico ................................. 792,800 786,800 -6,000 -.8 New York .................................... 8,274,100 8,450,700 176,600 2.1 North Carolina ............................. 4,229,100 4,286,300 57,200 1.4 North Dakota ............................... 400,500 403,100 2,600 .6 Ohio ........................................... 5,038,400 5,101,100 62,700 1.2 Oregon ....................................... 1,772,800 1,793,300 20,500 1.2 Pennsylvania ............................... 5,428,000 5,525,900 97,900 1.8 Rhode Island ............................... 446,000 459,800 13,800 3.1 South Carolina ............................ 2,063,200 2,071,500 8,300 .4 South Dakota .............................. 416,600 420,700 4,100 1.0 Texas .......................................... 12,087,300 12,118,700 31,400 .3 Utah ........................................... 1,518,600 1,528,800 10,200 .7 Vermont ...................................... 273,900 278,700 4,800 1.8 Washington ................................. 3,165,500 3,231,300 65,800 2.1 Wisconsin ................................... 2,691,200 2,721,700 30,500 1.1 Wyoming .................................... 266,300 270,100 3,800 1.4 p = preliminary. State Over-the-month change p -9- Table E. States with statistically significant employment changes from July 2019 to July 2020, seasonally adjusted July July 2019 2020 p Level Percent Alabama ..................................... 2,076,100 1,972,300 -103,800 -5.0 Alaska ........................................ 330,600 291,300 -39,300 -11.9 Arizona ....................................... 2,937,900 2,832,600 -105,300 -3.6 Arkansas .................................... 1,274,000 1,213,500 -60,500 -4.7 California .................................... 17,439,700 15,796,100 -1,643,600 -9.4 Colorado ..................................... 2,791,500 2,605,300 -186,200 -6.7 Connecticut ................................. 1,686,700 1,540,400 -146,300 -8.7 Delaware .................................... 466,300 422,100 -44,200 -9.5 District of Columbia ..................... 798,600 746,800 -51,800 -6.5 Florida ........................................ 8,963,400 8,465,700 -497,700 -5.6 Georgia ...................................... 4,605,300 4,415,200 -190,100 -4.1 Hawaii ........................................ 654,700 549,200 -105,500 -16.1 Illinois ......................................... 6,125,400 5,617,400 -508,000 -8.3 Indiana ....................................... 3,156,500 3,012,000 -144,500 -4.6 Iowa ........................................... 1,585,800 1,488,600 -97,200 -6.1 Kansas ....................................... 1,423,000 1,355,000 -68,000 -4.8 Kentucky .................................... 1,941,300 1,790,600 -150,700 -7.8 Louisiana .................................... 1,980,100 1,835,700 -144,400 -7.3 Maine ......................................... 634,500 576,700 -57,800 -9.1 Maryland ..................................... 2,769,200 2,565,000 -204,200 -7.4 Massachusetts ............................. 3,696,400 3,243,800 -452,600 -12.2 Michigan ..................................... 4,432,800 3,941,400 -491,400 -11.1 Minnesota ................................... 2,983,000 2,723,200 -259,800 -8.7 Mississippi .................................. 1,158,300 1,115,000 -43,300 -3.7 Missouri ...................................... 2,903,500 2,765,700 -137,800 -4.7 Montana ...................................... 484,700 461,100 -23,600 -4.9 Nebraska .................................... 1,026,800 987,000 -39,800 -3.9 Nevada ....................................... 1,419,800 1,281,100 -138,700 -9.8 New Hampshire ........................... 684,800 621,100 -63,700 -9.3 New Jersey ................................. 4,196,500 3,751,900 -444,600 -10.6 New Mexico ................................. 858,000 786,800 -71,200 -8.3 New York .................................... 9,796,500 8,450,700 -1,345,800 -13.7 North Carolina ............................. 4,578,000 4,286,300 -291,700 -6.4 North Dakota ............................... 439,000 403,100 -35,900 -8.2 Ohio ........................................... 5,596,200 5,101,100 -495,100 -8.8 Oklahoma .................................... 1,702,600 1,612,400 -90,200 -5.3 Oregon ....................................... 1,941,600 1,793,300 -148,300 -7.6 Pennsylvania ............................... 6,067,800 5,525,900 -541,900 -8.9 Rhode Island ............................... 502,600 459,800 -42,800 -8.5 South Carolina ............................ 2,192,500 2,071,500 -121,000 -5.5 South Dakota .............................. 441,000 420,700 -20,300 -4.6 Tennessee .................................. 3,124,300 2,963,700 -160,600 -5.1 Texas .......................................... 12,813,100 12,118,700 -694,400 -5.4 Utah ........................................... 1,560,600 1,528,800 -31,800 -2.0 Vermont ...................................... 316,800 278,700 -38,100 -12.0 Virginia ....................................... 4,059,100 3,775,000 -284,100 -7.0 Washington ................................. 3,478,700 3,231,300 -247,400 -7.1 West Virginia .............................. 719,000 667,300 -51,700 -7.2 Wisconsin ................................... 2,982,300 2,721,700 -260,600 -8.7 Wyoming .................................... 290,300 270,100 -20,200 -7.0 p = preliminary. State Over-the-year change p Technical Note This news release presents civilian labor force and unemployment data for states and selected substate areas from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2). Also presented are nonfarm payroll employment estimates by state and industry supersector from the Current Employment Statistics (CES) program (tables 3 and 4). The LAUS and CES programs are both federal-state cooperative endeavors. Civilian labor force and unemployment—from the LAUS program Definitions. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the official national estimates obtained from the Current Population Survey (CPS), a sample survey of households that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The LAUS program measures employed people and unemployed people on a placeof-residence basis. The universe for each is the civilian noninstitutional population 16 years of age and older. Employed people are those who did any work at all for pay or profit in the reference week (typically the week including the 12th of the month) or worked 15 hours or more without pay in a family business or farm, plus those not working who had a job from which they were temporarily absent, whether or not paid, for such reasons as bad weather, labor-management dispute, illness, or vacation. Unemployed people are those who were not employed during the reference week (based on the definition above), had actively looked for a job sometime in the 4-week period ending with the reference week, and were currently available for work; people on layoff expecting recall need not be looking for work to be counted as unemployed. The civilian labor force is the sum of employed and unemployed people. The unemployment rate is the number of unemployed as a percent of the civilian labor force. Method of estimation. Estimates for 48 states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, New York City, and the balances of California and New York State are produced using time-series models. This method, which underwent substantial enhancement at the beginning of 2015, utilizes data from several sources, including the CPS, the CES, and state unemployment insurance (UI) programs. Estimates for the state of California are derived by summing the estimates for the Los Angeles-Long Beach-Glendale metropolitan division and the balance of California. Similarly, estimates for New York State are derived by summing the estimates for New York City and the balance of New York State. Estimates for the five additional substate areas contained in this release (the Cleveland-Elyria and Detroit-Warren-Dearborn metropolitan areas and the Chicago-Naperville-Arlington Heights, Miami-Miami BeachKendall, and Seattle-Bellevue-Everett metropolitan divisions) and their respective balances of state are produced using a similar model-based approach. Each month, estimates for the nine census divisions first are modeled using inputs from the CPS only and controlled to the national totals. State estimates then are controlled to their respective census division totals. Substate and balance-of-state estimates for the five areas noted above also are controlled to their respective state totals. This tiered process of controlling model-based estimates to the U.S. totals is called real-time benchmarking. Estimates for Puerto Rico are derived from a monthly household survey similar to the CPS. A more detailed description of the estimation procedures is available from BLS upon request. Annual revisions. Civilian labor force and unemployment data for prior years reflect adjustments made after the end of each year. The adjusted estimates reflect updated population data from the U.S. Census Bureau, any revisions in the other data sources, and model re-estimation. In most years, historical data for the most recent five years are revised near the beginning of each calendar year, prior to the release of January estimates. With the introduction of a new generation of timesseries models in early 2015, historical data were re-estimated back to the series beginnings in 1976, 1990, or 1994. Seasonal adjustment. The LAUS models decompose the estimates of employed and unemployed people into trend, seasonal, and irregular components. The benchmarked signals of employed and unemployed people first are adjusted using an X-11 type of seasonal adjustment filter. The adjusted data then are smoothed using a Reproducing Kernel Hilbert Space (RKHS) filter. The smoothed-seasonally adjusted estimates of employed and unemployed people are summed to derive the civilian labor force, and the unemployment rate then is calculated as the unemployed percent of the civilian labor force. The resulting smoothed-seasonally adjusted unemployment rate estimates are analyzed in this news release and published on the BLS website. During estimation for the current year, the smoothedseasonally adjusted estimates for a given month are created using an asymmetric filter that incorporates information from previous observations only. For annual revisions, historical data are smoothed using a two-sided filter. Area definitions. The substate area data published in this release reflect the delineations that were issued by the U.S. Office of Management and Budget on April 10, 2018. A detailed list of the geographic definitions is available online at www.bls.gov/lau/lausmsa.htm. Employment—from the CES program Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2017 version of the North American Industry Classification System. Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible these data are produced using a "weighted link relative" estimation technique in which a ratio of current month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month’s employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the sample of establishments is very small or highly variable. In these cases, a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods. Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf. Seasonal adjustment. Payroll employment data are seasonally adjusted at the statewide expanded supersector level. In some cases, the seasonally adjusted payroll employment total is computed by aggregating the independently adjusted supersector series. In other cases, the seasonally adjusted payroll employment total is independently adjusted. Revisions to historical data for the most recent five years are made once a year, coincident with annual benchmark adjustments. Payroll employment data are seasonally adjusted concurrently, using all available estimates including those for the current month, to develop sample-based seasonal factors. Concurrent sample-based factors are created every month for the current month’s preliminary estimate as well as the previous month’s final estimate in order to incorporate real-time estimates. Caution on aggregating state data. State estimation procedures are designed to produce accurate data for each individual state. BLS independently develops a national employment series; state estimates are not forced to sum to national totals. Because each state series is subject to larger sampling and nonsampling errors than the national series, summing them cumulates individual state-level errors and can cause significant distortions at an aggregate level. Due to these statistical limitations, BLS does not compile a "sum-of-states" employment series, and cautions users that such a series is subject to a relatively large and volatile error structure. Reliability of the estimates The estimates presented in this release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability—that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. Use of error measures. Changes in state unemployment rates and state nonfarm payroll employment are cited in the analysis of this release only if they have been determined to be statistically significant at the 90-percent confidence level. Furthermore, state unemployment rates for the current month generally are cited only if they have been determined to be significantly different from the U.S. rate at the 90-percent confidence level. The underlying model-based standard error measures for unemployment rates and over-the-month and over-the-year changes in rates are available at www.bls.gov/lau/lastderr.htm. The underlying standard error measures for over-the-month and over-the-year changes in state payroll employment data at the total nonfarm and supersector levels are available at www.bls.gov/web/laus/790stderr.htm. Measures of nonsampling error are not available. Additional information Estimates of civilian labor force and unemployment from the LAUS program, as well as nonfarm payroll employment from the CES program, for metropolitan areas and metropolitan divisions are available in the news release Metropolitan Area Employment and Unemployment. Estimates of civilian labor force, employed people, unemployed people, and unemployment rates for approximately 7,500 subnational areas are available online at www.bls.gov/lau/. Employment data from the CES program for states and metropolitan areas are available online at www.bls.gov/sae/. 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. LABOR FORCE DATA SEASONALLY ADJUSTED Table 1. Civilian labor force and unemployment by state and selected area, seasonally adjusted State and area Civilian labor force Unemployed July 2019 May 2020 June 2020 July 2020p Number Percent of labor force July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,239,558 2,239,608 2,192,427 2,231,116 63,414 216,043 166,668 176,637 2.8 9.6 7.6 7.9 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347,947 333,394 343,599 340,749 21,539 42,378 42,709 39,662 6.2 12.7 12.4 11.6 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,555,243 3,552,457 3,509,620 3,562,146 167,232 318,985 351,156 377,307 4.7 9.0 10.0 10.6 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,361,041 1,345,509 1,314,162 1,304,752 48,529 129,260 106,405 92,133 3.6 9.6 8.1 7.1 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,380,953 18,506,781 18,971,162 18,804,037 771,612 3,043,056 2,830,936 2,510,103 4.0 16.4 14.9 13.3 Los Angeles-Long Beach-Glendale1 . . . . 5,111,534 4,737,289 4,947,979 4,926,437 223,075 998,671 958,462 862,638 4.4 21.1 19.4 17.5 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,150,271 3,069,113 3,177,090 3,079,561 84,570 313,656 336,834 228,252 2.7 10.2 10.6 7.4 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,911,681 1,777,004 1,879,811 1,895,166 70,575 170,307 189,064 192,984 3.7 9.6 10.1 10.2 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487,583 472,672 486,725 505,957 18,624 74,929 61,540 52,636 3.8 15.9 12.6 10.4 District of Columbia. . . . . . . . . . . . . . . . . . . . . 410,015 387,790 393,763 393,111 21,943 34,026 34,061 33,152 5.4 8.8 8.7 8.4 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,333,418 9,627,360 9,751,928 9,974,996 318,402 1,319,309 1,003,323 1,124,764 3.1 13.7 10.3 11.3 Miami-Miami Beach-Kendall1 . . . . . . . . . . . 1,381,628 1,222,121 1,285,905 1,327,315 31,971 139,440 148,961 184,090 2.3 11.4 11.6 13.9 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,104,207 4,892,536 4,929,291 4,989,430 174,318 460,404 373,442 378,115 3.4 9.4 7.6 7.6 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663,544 626,986 630,798 634,989 18,157 147,365 84,481 83,247 2.7 23.5 13.4 13.1 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 883,977 882,241 895,047 900,973 25,852 79,228 51,639 44,722 2.9 9.0 5.8 5.0 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,444,841 6,305,015 6,493,413 6,239,245 252,166 967,035 943,602 705,585 3.9 15.3 14.5 11.3 Chicago-Naperville-Arlington Heights1 . . . 3,718,945 3,719,003 3,812,677 3,635,589 134,639 574,128 613,354 448,075 3.6 15.4 16.1 12.3 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,376,195 3,340,305 3,393,875 3,318,134 109,252 409,414 376,581 258,598 3.2 12.3 11.1 7.8 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,740,791 1,694,125 1,644,151 1,625,172 47,543 172,971 137,650 107,277 2.7 10.2 8.4 6.6 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,486,033 1,505,828 1,482,608 1,490,796 45,920 151,293 110,813 106,798 3.1 10.0 7.5 7.2 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,074,764 2,029,333 1,920,657 1,861,723 89,618 220,314 84,561 105,870 4.3 10.9 4.4 5.7 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,090,833 2,031,725 1,995,557 2,010,006 98,370 289,495 190,530 188,048 4.7 14.2 9.5 9.4 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 691,444 665,863 669,925 697,959 20,063 62,692 44,993 68,930 2.9 9.4 6.7 9.9 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,263,140 3,115,059 3,215,066 3,228,943 117,555 310,148 265,266 243,822 3.6 10.0 8.3 7.6 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,813,991 3,540,873 3,684,255 3,671,647 109,603 586,460 653,906 590,975 2.9 16.6 17.7 16.1 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,934,220 4,762,541 4,943,134 4,816,399 202,643 1,012,746 738,476 417,981 4.1 21.3 14.9 8.7 Detroit-Warren-Dearborn2 . . . . . . . . . . . . . . 2,160,593 1,940,206 2,045,734 2,012,263 93,543 451,042 365,538 185,580 4.3 23.2 17.9 9.2 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,110,509 3,069,944 3,114,109 3,092,542 99,489 302,966 267,978 236,832 3.2 9.9 8.6 7.7 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,277,749 1,208,867 1,197,032 1,231,943 70,291 126,587 104,956 132,808 5.5 10.5 8.8 10.8 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,077,388 3,013,333 3,027,726 3,073,893 97,205 303,647 236,203 211,177 3.2 10.1 7.8 6.9 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534,199 523,851 535,115 534,933 18,514 47,259 38,288 34,374 3.5 9.0 7.2 6.4 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,035,771 1,031,135 1,044,038 1,045,993 31,904 54,822 57,731 50,537 3.1 5.3 5.5 4.8 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,545,399 1,382,809 1,501,064 1,486,429 60,185 349,545 227,426 208,450 3.9 25.3 15.2 14.0 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 774,625 734,136 724,019 735,335 19,802 113,019 66,647 59,292 2.6 15.4 9.2 8.1 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,486,272 4,531,245 4,548,773 4,561,972 149,536 695,717 766,172 628,791 3.3 15.4 16.8 13.8 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 955,251 905,243 921,812 911,029 46,108 82,751 77,432 115,297 4.8 9.1 8.4 12.7 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,488,460 9,089,160 9,379,581 9,584,448 373,266 1,318,631 1,467,832 1,527,844 3.9 14.5 15.6 15.9 New York City. . . . . . . . . . . . . . . . . . . . . . . . 4,062,599 3,670,099 3,985,038 4,003,632 157,097 670,292 810,177 794,126 3.9 18.3 20.3 19.8 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 5,084,334 4,816,235 4,787,234 4,922,157 199,494 615,512 357,100 419,812 3.9 12.8 7.5 8.5 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 403,815 402,457 403,755 401,128 9,854 36,540 29,833 26,584 2.4 9.1 7.4 6.6 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,804,123 5,755,881 5,801,502 5,656,709 241,034 797,228 635,681 502,585 4.2 13.9 11.0 8.9 Cleveland-Elyria2 . . . . . . . . . . . . . . . . . . . . . 1,041,822 1,048,570 1,050,119 996,332 41,868 178,942 141,654 113,035 4.0 17.1 13.5 11.3 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,841,427 1,823,007 1,767,340 1,805,440 59,901 230,245 113,797 128,087 3.3 12.6 6.4 7.1 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,102,460 2,124,082 2,159,459 2,059,199 78,198 303,494 249,933 213,562 3.7 14.3 11.6 10.4 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,484,491 6,502,535 6,365,347 6,453,311 282,463 874,075 842,222 886,296 4.4 13.4 13.2 13.7 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 555,092 522,456 551,766 556,776 19,907 85,781 69,364 62,308 3.6 16.4 12.6 11.2 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,374,220 2,416,098 2,438,395 2,454,797 64,300 299,668 211,612 211,965 2.7 12.4 8.7 8.6 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 464,203 464,195 468,994 466,387 15,417 43,665 33,853 29,574 3.3 9.4 7.2 6.3 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,347,516 3,292,225 3,165,539 3,144,874 113,762 363,655 305,373 300,071 3.4 11.0 9.6 9.5 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,042,579 13,498,250 13,794,279 13,821,400 487,025 1,753,204 1,154,852 1,101,083 3.5 13.0 8.4 8.0 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,609,459 1,609,768 1,619,435 1,624,542 41,035 137,811 86,314 72,925 2.5 8.6 5.3 4.5 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341,929 343,838 341,591 338,738 8,148 44,150 32,452 28,090 2.4 12.8 9.5 8.3 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,410,824 4,306,310 4,314,260 4,322,234 121,250 389,546 349,624 344,135 2.7 9.0 8.1 8.0 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,919,719 3,945,467 3,893,247 3,968,159 166,584 593,883 389,799 408,022 4.2 15.1 10.0 10.3 Seattle-Bellevue-Everett1 . . . . . . . . . . . . . . 1,733,095 1,705,561 1,720,312 1,718,083 48,786 246,601 166,331 142,765 2.8 14.5 9.7 8.3 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 797,083 780,029 765,374 759,968 38,365 100,757 80,042 75,444 4.8 12.9 10.5 9.9 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,103,095 3,103,238 3,062,803 3,022,822 105,597 376,650 264,632 211,611 3.4 12.1 8.6 7.0 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,785 294,481 295,786 294,918 10,787 25,790 22,452 21,017 3.7 8.8 7.6 7.1 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,090,423 – – – 82,251 – – – 7.5 – – – 1 Metropolitan division. 2 Metropolitan statistical area. p Preliminary – Data not available. NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month. LABOR FORCE DATA NOT SEASONALLY ADJUSTED Table 2. Civilian labor force and unemployment by state and selected area, not seasonally adjusted State and area Civilian labor force Unemployed June July Number Percent of labor force 2019 2020 2019 2020p June July June July 2019 2020 2019 2020p 2019 2020 2019 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,246,030 2,201,446 2,245,474 2,237,001 73,570 174,813 69,916 182,321 3.3 7.9 3.1 8.2 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355,191 350,803 359,113 351,838 22,261 43,221 20,150 38,096 6.3 12.3 5.6 10.8 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,542,293 3,511,432 3,550,152 3,563,645 178,750 361,607 180,844 389,677 5.0 10.3 5.1 10.9 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,376,830 1,331,793 1,379,283 1,322,768 52,458 111,111 56,737 98,992 3.8 8.3 4.1 7.5 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,325,538 18,928,353 19,465,613 18,885,235 794,837 2,852,147 857,771 2,591,029 4.1 15.1 4.4 13.7 Los Angeles-Long Beach-Glendale1 . . . . 5,079,145 4,924,463 5,130,244 4,939,994 227,731 965,541 255,995 897,512 4.5 19.6 5.0 18.2 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,162,311 3,197,104 3,171,847 3,102,029 92,508 343,630 85,711 228,922 2.9 10.7 2.7 7.4 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,925,633 1,896,444 1,945,070 1,929,934 74,192 192,941 75,777 198,522 3.9 10.2 3.9 10.3 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490,751 490,453 492,940 510,905 19,899 63,184 20,243 54,170 4.1 12.9 4.1 10.6 District of Columbia. . . . . . . . . . . . . . . . . . . . . 412,636 396,821 416,468 399,066 24,062 36,049 24,138 35,347 5.8 9.1 5.8 8.9 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,318,834 9,769,147 10,372,151 10,032,703 344,231 1,027,965 350,600 1,157,494 3.3 10.5 3.4 11.5 Miami-Miami Beach-Kendall1 . . . . . . . . . . . 1,369,579 1,278,344 1,384,625 1,332,895 34,494 150,853 35,504 188,849 2.5 11.8 2.6 14.2 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,101,635 4,936,947 5,126,399 5,018,467 193,000 392,596 196,151 400,197 3.8 8.0 3.8 8.0 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665,587 633,171 667,217 638,063 22,078 88,201 18,429 83,293 3.3 13.9 2.8 13.1 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 891,130 905,361 895,029 912,822 23,779 49,489 24,218 42,843 2.7 5.5 2.7 4.7 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,517,399 6,569,589 6,534,712 6,314,164 267,575 957,765 276,947 715,559 4.1 14.6 4.2 11.3 Chicago-Naperville-Arlington Heights1 . . . 3,778,783 3,875,459 3,776,587 3,690,126 154,332 633,237 153,302 465,248 4.1 16.3 4.1 12.6 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,413,468 3,432,097 3,412,239 3,355,888 114,185 380,662 119,491 265,346 3.3 11.1 3.5 7.9 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,750,382 1,657,047 1,763,368 1,644,385 48,303 137,349 48,724 106,148 2.8 8.3 2.8 6.5 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,498,185 1,497,192 1,508,779 1,514,277 48,792 113,748 56,697 115,911 3.3 7.6 3.8 7.7 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,099,909 1,952,575 2,090,399 1,879,153 101,143 96,680 101,089 116,765 4.8 5.0 4.8 6.2 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,116,798 2,021,155 2,116,103 2,037,928 117,592 209,370 115,749 202,464 5.6 10.4 5.5 9.9 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701,100 680,560 708,797 716,038 19,348 44,364 18,891 67,639 2.8 6.5 2.7 9.4 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,285,538 3,243,857 3,316,105 3,281,791 126,624 274,749 128,327 253,886 3.9 8.5 3.9 7.7 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,851,461 3,726,254 3,865,262 3,722,933 120,601 664,413 121,141 602,132 3.1 17.8 3.1 16.2 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,971,319 4,987,986 4,995,452 4,872,075 212,011 748,153 252,608 463,381 4.3 15.0 5.1 9.5 Detroit-Warren-Dearborn2 . . . . . . . . . . . . . . 2,159,216 2,050,504 2,192,505 2,041,892 95,839 368,458 116,168 205,978 4.4 18.0 5.3 10.1 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,126,861 3,132,255 3,142,453 3,122,326 101,099 268,067 99,631 232,475 3.2 8.6 3.2 7.4 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,292,689 1,214,977 1,294,421 1,250,601 83,202 118,980 81,327 143,336 6.4 9.8 6.3 11.5 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,108,213 3,062,094 3,117,422 3,104,813 104,362 242,693 117,030 223,884 3.4 7.9 3.8 7.2 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539,659 541,884 543,860 544,582 18,106 38,219 16,834 32,657 3.4 7.1 3.1 6.0 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,047,089 1,056,791 1,051,883 1,062,027 34,683 60,587 35,001 53,250 3.3 5.7 3.3 5.0 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,543,666 1,502,735 1,550,643 1,492,874 63,748 230,332 63,204 211,304 4.1 15.3 4.1 14.2 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 781,077 731,828 787,198 748,051 19,442 66,493 19,857 59,337 2.5 9.1 2.5 7.9 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,508,811 4,586,771 4,555,166 4,626,988 147,120 762,472 176,079 647,417 3.3 16.6 3.9 14.0 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 958,214 927,108 960,503 915,503 52,893 84,250 52,663 121,941 5.5 9.1 5.5 13.3 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,538,972 9,438,251 9,596,950 9,688,730 363,430 1,461,408 400,342 1,548,633 3.8 15.5 4.2 16.0 New York City. . . . . . . . . . . . . . . . . . . . . . . . 4,054,877 3,977,653 4,082,283 4,025,205 158,371 810,286 174,510 805,992 3.9 20.4 4.3 20.0 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 5,097,518 4,812,847 5,125,881 4,965,432 213,152 371,764 219,539 441,279 4.2 7.7 4.3 8.9 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 412,677 413,089 411,927 409,533 10,907 31,063 9,189 26,019 2.6 7.5 2.2 6.4 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,844,525 5,855,106 5,884,316 5,727,517 253,781 650,488 266,365 521,299 4.3 11.1 4.5 9.1 Cleveland-Elyria2 . . . . . . . . . . . . . . . . . . . . . 1,052,016 1,062,229 1,067,558 1,021,874 47,648 148,444 49,305 119,674 4.5 14.0 4.6 11.7 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,854,443 1,781,678 1,850,754 1,812,336 65,316 119,135 62,846 128,819 3.5 6.7 3.4 7.1 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,113,944 2,173,018 2,126,411 2,082,253 83,768 253,740 85,756 219,802 4.0 11.7 4.0 10.6 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,514,786 6,414,146 6,581,549 6,555,812 287,947 855,034 321,521 922,435 4.4 13.3 4.9 14.1 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 557,755 555,237 562,181 564,178 18,645 68,286 21,801 64,357 3.3 12.3 3.9 11.4 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,400,898 2,468,874 2,402,172 2,484,700 75,412 220,259 72,245 219,673 3.1 8.9 3.0 8.8 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 470,901 476,205 471,856 474,154 15,018 33,606 14,359 28,498 3.2 7.1 3.0 6.0 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,372,213 3,202,728 3,377,806 3,173,394 131,488 322,865 132,139 315,241 3.9 10.1 3.9 9.9 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,009,283 13,804,456 14,064,960 13,846,028 520,024 1,197,957 540,487 1,140,101 3.7 8.7 3.8 8.2 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,612,516 1,627,388 1,616,418 1,632,582 48,104 92,601 43,635 75,140 3.0 5.7 2.7 4.6 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346,954 345,686 346,705 343,764 8,577 32,872 8,209 28,096 2.5 9.5 2.4 8.2 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,434,710 4,348,216 4,465,718 4,374,802 129,920 358,528 131,979 352,026 2.9 8.2 3.0 8.0 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,919,625 3,906,162 3,944,959 3,994,934 164,802 386,218 164,164 405,529 4.2 9.9 4.2 10.2 Seattle-Bellevue-Everett1 . . . . . . . . . . . . . . 1,725,228 1,715,889 1,740,245 1,726,429 49,532 166,605 53,191 146,213 2.9 9.7 3.1 8.5 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 806,744 778,147 805,335 767,127 39,694 82,044 38,061 74,462 4.9 10.5 4.7 9.7 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,150,680 3,107,071 3,150,096 3,066,529 117,562 275,154 113,279 214,862 3.7 8.9 3.6 7.0 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297,410 300,957 298,084 299,787 10,840 22,898 10,633 20,266 3.6 7.6 3.6 6.8 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113,225 1,063,390 1,105,444 1,042,138 89,438 90,194 86,848 75,757 8.0 8.5 7.9 7.3 1 Metropolitan division. 2 Metropolitan statistical area. p Preliminary NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month. ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted [In thousands] State Total1 Construction Manufacturing July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,076.1 1,908.9 1,953.4 1,972.3 94.1 92.2 93.6 94.3 268.8 254.0 258.5 262.1 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330.6 287.6 291.8 291.3 16.2 14.8 14.9 14.5 13.3 11.0 10.1 9.7 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,937.9 2,754.7 2,830.1 2,832.6 171.6 170.4 168.9 168.8 177.9 169.7 171.4 171.1 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,274.0 1,185.1 1,211.9 1,213.5 52.3 53.4 52.7 52.3 161.5 143.6 144.5 143.0 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,439.7 15,113.2 15,655.7 15,796.1 888.9 822.1 847.9 833.1 1,318.5 1,194.5 1,216.7 1,220.4 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,791.5 2,542.1 2,599.1 2,605.3 179.8 171.8 171.4 172.1 150.3 145.8 149.6 150.5 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,686.7 1,436.6 1,513.9 1,540.4 59.7 53.5 56.4 57.4 162.4 153.2 155.2 155.8 Delaware2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466.3 395.3 414.8 422.1 22.8 20.8 21.0 21.3 27.2 23.9 24.6 24.6 District of Columbia2 . . . . . . . . . . . . . . . . . . . . . . . . . 798.6 730.8 739.0 746.8 14.7 13.8 14.8 14.7 1.3 1.2 1.2 1.2 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,963.4 8,100.9 8,387.8 8,465.7 565.7 566.3 569.7 563.4 384.2 364.4 371.4 371.3 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,605.3 4,220.1 4,371.4 4,415.2 204.6 197.8 199.9 199.5 406.7 372.3 384.2 386.6 Hawaii2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654.7 525.6 549.0 549.2 36.9 37.4 38.1 37.9 13.9 11.7 11.6 11.3 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 760.6 711.5 737.3 751.3 53.1 54.2 53.9 54.2 68.9 67.6 67.2 67.9 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,125.4 5,381.9 5,524.2 5,617.4 228.6 211.7 213.5 210.2 585.5 537.8 557.6 553.0 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,156.5 2,831.2 2,968.6 3,012.0 144.4 142.7 146.2 146.1 536.2 469.7 496.0 496.3 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,585.8 1,414.6 1,459.3 1,488.6 78.5 71.3 69.5 69.1 226.6 215.2 215.7 217.8 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423.0 1,313.9 1,345.0 1,355.0 63.2 63.7 62.6 61.8 167.5 158.1 158.1 155.0 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,941.3 1,653.1 1,764.2 1,790.6 80.4 77.1 80.7 79.4 252.8 207.3 237.0 239.0 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,980.1 1,755.4 1,816.9 1,835.7 136.8 125.2 122.9 122.2 137.7 127.9 128.0 128.7 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.5 547.0 566.6 576.7 29.7 29.3 29.2 29.6 53.3 47.5 48.4 44.9 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,769.2 2,437.2 2,511.1 2,565.0 165.2 162.3 167.5 170.1 113.2 103.3 104.5 106.0 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,696.4 3,077.1 3,171.7 3,243.8 162.0 121.0 140.6 142.5 243.6 224.9 228.4 230.7 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,432.8 3,571.9 3,838.2 3,941.4 173.6 148.6 168.6 171.2 626.2 476.0 550.3 559.7 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,983.0 2,616.0 2,690.7 2,723.2 128.8 121.5 119.3 118.9 324.5 299.7 302.2 303.1 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,158.3 1,073.5 1,104.6 1,115.0 44.6 41.1 40.2 40.1 146.8 140.1 141.3 142.9 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,903.5 2,617.6 2,691.8 2,765.7 127.0 127.1 127.1 131.5 275.4 251.1 262.3 270.5 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484.7 443.6 458.1 461.1 30.2 29.9 29.8 30.1 21.0 18.8 19.3 19.2 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026.8 956.6 972.9 987.0 53.7 54.9 54.0 54.3 99.8 97.6 96.7 97.1 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,419.8 1,167.5 1,266.3 1,281.1 96.4 98.6 95.6 94.5 59.5 56.8 56.9 58.2 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 684.8 585.4 607.9 621.1 27.9 27.2 26.7 27.1 71.6 66.6 65.3 64.6 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,196.5 3,499.5 3,622.0 3,751.9 159.5 136.9 144.1 146.5 251.8 235.7 239.0 239.3 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 858.0 768.6 792.8 786.8 50.7 49.3 49.0 46.1 28.7 24.3 26.0 26.3 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,796.5 8,000.1 8,274.1 8,450.7 405.2 295.4 340.9 354.5 439.2 372.2 389.9 391.6 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,578.0 4,061.5 4,229.1 4,286.3 231.1 218.2 220.4 221.9 477.6 430.4 442.6 437.0 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439.0 398.6 400.5 403.1 28.4 27.5 26.5 26.2 26.3 25.0 24.7 24.9 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,596.2 4,825.2 5,038.4 5,101.1 225.5 207.6 208.8 210.8 703.6 629.0 659.1 655.4 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,702.6 1,581.3 1,612.8 1,612.4 83.3 75.9 75.7 75.1 141.0 129.3 128.2 127.0 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,941.6 1,715.8 1,772.8 1,793.3 109.6 104.7 105.4 103.5 197.8 179.3 181.8 180.3 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,067.8 5,201.5 5,428.0 5,525.9 260.3 231.3 243.1 241.6 574.8 525.9 538.7 537.1 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502.6 422.6 446.0 459.8 19.9 17.9 18.0 18.4 39.7 37.6 38.4 39.4 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,192.5 1,986.9 2,063.2 2,071.5 107.0 106.9 107.4 106.9 259.6 244.8 252.3 252.7 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441.0 406.8 416.6 420.7 23.8 25.9 26.6 26.3 45.0 42.9 42.6 42.2 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,124.3 2,856.3 2,963.1 2,963.7 130.3 126.6 127.2 127.6 356.7 311.2 317.8 322.9 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,813.1 11,854.8 12,087.3 12,118.7 776.5 741.7 743.6 737.3 908.5 873.5 873.4 868.8 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,560.6 1,480.4 1,518.6 1,528.8 109.8 116.1 119.5 118.4 137.2 134.3 135.2 134.9 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.8 262.3 273.9 278.7 15.2 10.1 10.8 10.4 30.3 26.8 26.4 26.9 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,059.1 3,687.0 3,765.7 3,775.0 203.5 201.3 207.0 208.1 243.0 228.7 234.7 228.0 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,478.7 3,057.3 3,165.5 3,231.3 221.1 194.8 210.2 211.3 294.2 270.6 271.0 271.5 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719.0 631.5 667.1 667.3 35.9 31.5 32.1 33.2 46.9 45.0 46.7 46.0 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,982.3 2,589.5 2,691.2 2,721.7 124.3 119.5 120.9 123.1 484.2 452.5 450.8 456.0 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290.3 263.8 266.3 270.1 23.1 22.3 22.7 23.0 10.0 10.3 10.3 10.1 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 885.3 780.7 803.1 803.1 26.6 18.2 20.1 19.3 75.1 72.6 74.6 74.4 Virgin Islands3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.0 36.3 36.1 36.1 3.9 4.0 4.1 4.0 – – – – 1 Includes mining and logging, information, and other services (except public administration), not shown separately. 2 Mining and logging is combined with construction. 3 Missing series (denoted by ’-’) are not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted-Continued [In thousands] State Trade, transportation, and utilities Financial activities Professional and business services July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382.7 374.0 382.3 380.3 96.7 94.5 95.8 95.8 251.8 222.7 227.2 230.4 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 59.5 59.8 58.6 11.7 11.4 10.9 11.1 27.7 25.9 26.0 25.3 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542.5 533.3 546.1 547.6 230.6 229.6 230.5 230.1 447.0 413.1 416.8 415.6 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.1 246.3 253.7 253.6 62.8 61.1 60.7 60.9 144.7 138.6 141.3 142.2 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,053.9 2,682.8 2,786.0 2,826.9 842.0 826.9 831.8 835.9 2,725.1 2,504.5 2,540.7 2,557.4 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477.1 439.4 446.7 453.5 173.6 172.5 170.0 169.3 441.4 432.6 438.0 440.2 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291.8 246.8 264.5 272.3 124.1 118.7 118.2 118.5 219.6 200.3 202.5 205.5 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.0 69.5 74.3 74.6 47.6 46.4 46.2 46.2 63.6 58.4 58.4 58.3 District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . 33.2 29.5 30.1 32.0 29.8 29.6 28.8 28.6 171.0 165.7 163.1 165.1 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,807.6 1,680.5 1,735.4 1,749.1 591.5 572.8 579.7 582.3 1,396.5 1,280.3 1,304.8 1,321.8 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943.1 911.7 932.9 931.8 251.3 243.6 246.6 245.3 715.7 654.7 669.6 673.9 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.5 104.7 105.7 105.3 29.9 27.6 27.6 27.6 73.9 66.1 68.6 66.7 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.7 142.2 146.0 147.2 37.0 37.7 39.3 39.2 97.0 95.3 95.7 97.0 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,205.8 1,103.2 1,138.5 1,142.9 411.4 401.4 399.5 402.0 948.8 851.7 859.1 867.5 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 598.2 561.4 577.1 577.5 141.2 138.3 138.5 139.0 344.1 308.0 324.7 335.8 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.1 293.7 299.3 300.4 110.0 107.6 106.9 107.6 139.2 124.9 126.8 131.4 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267.0 258.5 263.2 263.4 77.4 75.8 75.8 75.4 179.2 167.7 171.6 172.6 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.8 356.2 374.5 376.6 93.6 86.8 87.4 86.9 216.8 175.6 183.9 185.2 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378.6 341.5 356.8 359.6 91.9 90.4 90.9 91.0 215.5 198.2 201.7 199.0 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.6 108.1 112.0 114.2 32.9 31.7 31.7 31.7 69.3 63.5 65.0 64.4 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468.7 413.1 429.0 437.3 143.5 138.4 138.4 139.0 463.0 433.5 434.0 431.5 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579.0 462.5 490.1 505.1 224.9 220.9 219.6 219.0 602.8 561.9 566.6 565.8 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 796.0 689.2 732.0 744.0 224.2 217.5 218.8 219.0 653.2 530.8 560.7 588.1 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 529.1 494.7 511.1 513.4 193.2 186.7 185.4 186.4 383.8 361.8 365.7 364.8 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.1 222.6 225.7 226.5 44.6 43.2 42.7 43.2 109.2 98.5 102.8 105.1 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542.8 494.6 512.7 520.9 175.6 170.8 171.2 171.4 381.8 353.5 358.6 362.7 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.0 89.4 91.0 91.4 25.8 26.0 25.9 25.8 43.4 41.7 41.5 41.1 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198.3 187.5 195.4 194.7 75.3 74.7 74.9 75.1 119.6 112.9 113.4 114.8 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.9 219.0 231.6 235.1 68.8 67.3 67.5 68.0 195.5 155.5 164.6 168.5 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.1 115.3 121.3 123.5 34.8 34.0 34.3 34.8 83.7 75.7 75.0 76.1 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 886.8 753.9 794.2 829.2 252.5 238.4 236.8 239.1 683.7 599.0 604.6 624.0 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.5 126.2 132.8 133.3 35.6 33.7 34.0 33.8 110.5 102.7 103.9 102.8 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,552.8 1,217.8 1,280.9 1,340.0 729.3 688.9 683.4 681.2 1,376.1 1,179.2 1,185.2 1,201.6 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848.5 788.3 812.6 816.2 253.1 251.5 251.5 252.2 649.3 603.0 613.8 618.6 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.6 87.9 86.4 85.5 24.7 24.4 24.5 24.3 32.7 31.9 31.7 31.9 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,028.0 929.4 964.1 962.3 310.1 295.6 294.1 294.5 737.6 642.6 652.8 667.5 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.4 290.1 294.8 291.0 79.5 78.2 79.2 79.4 194.4 174.9 177.9 176.7 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.9 336.4 342.0 346.0 103.3 97.2 98.5 99.0 253.7 235.1 237.1 239.0 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,126.3 976.6 1,020.0 1,017.7 329.4 327.2 326.8 329.9 817.0 735.1 751.1 754.6 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 66.4 69.5 70.8 35.7 34.1 34.5 35.6 68.1 59.5 60.5 61.2 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.8 388.2 398.0 392.3 105.2 102.1 103.2 103.2 298.3 268.2 280.5 286.8 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 79.9 81.9 82.1 28.9 28.9 29.0 29.0 33.2 33.2 33.3 33.3 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.2 617.4 626.9 629.5 172.9 172.0 172.5 173.8 427.7 387.0 394.4 400.7 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,512.6 2,378.7 2,418.3 2,410.6 803.7 796.1 802.1 804.1 1,798.5 1,710.9 1,730.2 1,746.6 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290.3 283.8 291.5 293.4 90.4 89.8 94.6 93.3 224.1 213.7 215.7 217.1 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.0 46.5 49.8 50.4 12.3 11.2 11.2 11.4 29.3 25.9 26.6 27.3 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 658.2 608.6 628.6 632.5 212.3 212.5 209.2 206.7 768.4 736.3 737.9 731.5 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643.4 596.6 620.3 630.7 161.2 152.5 155.7 157.8 436.8 418.7 424.7 432.4 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.4 113.7 118.0 118.1 29.2 27.0 26.5 27.5 69.4 62.6 63.9 64.5 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.5 486.7 506.7 507.3 154.4 151.3 151.6 150.9 324.6 287.5 296.8 298.2 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 50.7 51.6 51.4 11.1 10.8 10.6 10.6 19.3 17.7 17.6 17.6 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.9 145.9 152.4 156.3 44.1 43.3 43.7 43.4 123.9 104.1 106.9 108.1 Virgin Islands1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 6.3 6.3 6.3 – – – – – – – – 1 Missing series (denoted by ’-’) are not published seasonally adjusted because the seasonal component, which is small relative to the trend-cycle and irregular components, cannot be separated with sufficient precision. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA SEASONALLY ADJUSTED Table 3. Employees on nonfarm payrolls by state and selected industry sector, seasonally adjusted-Continued [In thousands] State Education and health services Leisure and hospitality Government July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p July 2019 May 2020 June 2020 July 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.2 228.8 233.2 232.0 207.9 144.6 167.1 173.5 392.6 377.4 372.9 380.8 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 45.4 47.0 47.1 36.1 21.5 23.8 24.4 80.3 71.5 72.2 74.5 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460.0 441.2 455.6 457.3 330.0 238.9 279.4 266.7 421.1 410.6 407.3 421.1 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.5 181.4 183.1 184.3 120.8 90.8 100.3 102.3 210.9 199.9 203.1 201.0 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,815.2 2,569.8 2,643.5 2,673.2 2,031.9 1,130.6 1,406.2 1,412.1 2,603.1 2,441.6 2,406.2 2,442.2 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347.0 325.0 330.7 331.9 346.6 217.7 257.6 269.4 457.1 440.4 435.0 417.8 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.0 299.7 312.8 313.4 157.8 82.4 104.1 115.7 235.8 207.6 218.2 215.6 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.1 70.0 72.0 73.4 53.5 25.2 35.2 39.5 67.0 64.3 64.5 65.1 District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . 130.7 121.3 122.2 123.1 82.0 33.6 43.1 47.2 238.2 239.9 240.8 240.1 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,341.4 1,273.8 1,297.1 1,308.2 1,255.7 812.0 964.3 1,001.3 1,122.0 1,105.6 1,110.7 1,114.5 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 607.0 585.2 602.0 609.2 499.2 335.1 405.1 421.6 688.2 664.0 667.9 681.9 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 83.1 82.9 83.4 126.7 51.0 65.4 60.8 126.5 111.6 116.2 123.3 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 103.5 106.8 108.0 83.5 58.3 72.1 74.8 126.1 119.3 120.1 126.4 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 938.2 853.8 877.9 892.0 623.8 341.6 394.5 459.8 825.0 774.4 756.3 762.6 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 482.9 439.7 454.8 460.5 312.8 222.8 268.6 291.7 428.0 407.7 407.6 410.5 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.6 211.7 221.4 225.1 144.5 84.8 104.2 112.8 260.2 233.5 241.1 249.7 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201.8 186.6 191.7 194.7 130.4 92.0 108.1 113.3 259.3 246.7 244.5 247.7 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.1 252.5 263.6 272.0 201.4 132.6 167.3 180.6 311.0 282.9 281.5 281.7 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320.4 291.5 296.7 300.3 235.7 148.6 183.7 188.4 330.7 317.2 319.9 327.3 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.2 112.2 118.2 118.9 68.8 34.9 41.7 47.3 101.2 92.7 92.3 98.1 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.1 424.8 434.7 434.2 282.8 161.2 185.8 211.9 507.2 481.9 485.5 499.1 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 811.7 721.6 726.7 734.0 378.4 156.9 187.0 222.3 459.2 422.4 426.1 430.9 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680.8 578.9 609.6 618.0 434.8 193.3 241.7 270.0 614.3 565.2 567.8 571.2 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 552.2 492.2 502.1 506.5 275.9 141.6 175.9 193.1 426.9 385.5 384.9 391.1 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.9 135.1 139.8 139.6 135.8 105.4 123.5 127.7 241.5 231.2 231.5 234.2 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485.5 464.1 459.9 466.4 309.0 194.8 230.6 249.4 437.3 408.0 409.9 433.6 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 74.1 76.4 77.3 67.0 49.1 54.8 56.2 91.3 85.3 89.3 89.9 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.5 152.0 154.3 157.4 93.4 66.7 71.2 76.6 173.3 160.3 161.3 165.1 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.4 129.0 132.8 136.6 356.1 221.1 297.6 299.5 165.2 157.6 154.6 156.9 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.0 111.7 120.9 121.4 72.9 36.6 44.4 50.3 90.7 82.0 82.7 84.9 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 716.7 603.2 632.8 648.8 393.1 175.3 209.4 256.2 609.7 576.1 572.2 555.4 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.5 132.2 134.8 136.1 99.3 62.7 74.6 73.7 188.9 184.4 184.8 181.3 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,144.2 1,909.9 1,959.9 2,000.7 959.9 370.3 448.1 538.7 1,490.4 1,402.3 1,402.1 1,334.5 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 627.9 568.6 583.6 585.5 514.7 309.4 377.8 386.3 734.6 677.3 695.1 738.5 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 64.7 65.3 64.8 40.7 26.8 31.5 33.5 82.8 75.6 76.8 78.8 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 939.2 843.6 873.2 888.9 568.0 315.4 396.0 421.1 789.6 711.4 720.1 725.0 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238.9 228.2 231.0 232.5 173.3 147.0 165.4 163.5 352.3 336.1 340.1 345.7 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.6 279.2 286.2 290.2 213.7 111.5 146.9 154.2 298.5 278.6 276.5 282.2 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,293.5 1,155.1 1,207.4 1,222.6 578.2 285.4 363.3 410.4 709.1 680.7 678.1 693.8 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.1 93.3 100.0 102.7 60.2 28.5 39.7 45.0 65.1 63.8 62.6 63.2 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.2 238.3 245.4 247.6 272.1 176.7 210.7 213.2 371.8 357.0 355.3 357.5 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.1 69.1 69.8 70.2 47.7 34.2 38.8 41.6 80.0 71.5 73.4 75.1 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442.1 419.1 430.3 430.4 348.1 251.7 290.7 298.2 437.3 418.8 441.0 418.4 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,740.3 1,643.7 1,667.2 1,677.5 1,394.9 1,027.1 1,168.8 1,147.8 1,975.2 1,902.9 1,887.4 1,931.1 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209.5 203.7 205.1 199.6 153.8 111.8 123.0 124.4 253.9 238.1 245.0 256.2 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.3 57.6 61.9 62.1 37.4 17.7 19.4 20.0 57.6 53.4 54.0 56.4 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.7 500.7 513.7 516.6 409.1 262.4 294.0 317.8 731.6 684.6 681.5 672.5 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504.5 445.2 466.9 478.2 349.1 188.8 221.7 243.4 589.3 543.2 544.5 554.7 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.3 119.3 122.7 125.0 75.1 44.2 56.7 58.5 151.1 139.6 150.8 145.3 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.0 421.4 434.7 443.7 284.2 149.7 197.0 202.8 409.0 355.4 359.5 364.5 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.6 27.5 28.2 28.4 36.9 26.6 27.8 28.8 69.2 64.7 64.6 67.5 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.2 113.0 114.8 115.3 81.5 49.1 57.4 58.8 205.5 202.4 201.2 195.1 Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 2.1 2.1 2.1 5.4 4.4 4.4 4.7 10.5 11.1 10.7 10.5 p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjusted [In thousands] State Total Mining and logging Construction June July June July June July 2019 2020 2019 2020p 2019 2020 2019 2020p 2019 2020 2019 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,076.7 1,956.5 2,069.2 1,967.4 10.2 9.9 10.3 10.0 93.7 95.6 93.9 95.4 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349.3 308.0 355.4 311.7 13.7 12.6 13.7 12.4 18.5 16.5 18.9 16.7 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,869.8 2,775.9 2,860.2 2,756.4 13.6 13.3 13.7 13.4 172.1 169.6 173.0 168.4 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,272.4 1,214.1 1,257.2 1,202.6 6.0 5.1 5.9 5.2 53.1 53.9 53.4 53.5 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,453.9 15,686.7 17,310.9 15,669.5 22.8 22.6 23.2 22.3 895.5 856.7 904.5 848.3 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,798.4 2,622.7 2,804.6 2,623.0 29.3 24.4 29.3 24.2 183.3 175.9 184.9 177.3 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,701.1 1,526.6 1,680.9 1,537.8 0.5 0.5 0.6 0.6 62.2 59.5 63.1 60.4 Delaware1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.3 419.6 470.9 427.8 – – – – 23.4 21.4 23.3 22.0 District of Columbia1 . . . . . . . . . . . . . . . . . . . . . . . . 798.9 738.7 808.2 754.4 – – – – 15.2 15.0 15.1 15.1 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,838.6 8,301.2 8,821.7 8,347.4 5.7 5.5 5.7 5.4 564.8 572.2 565.9 567.0 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,609.4 4,371.7 4,586.9 4,391.7 9.4 8.9 9.4 8.9 206.3 201.2 205.2 200.1 Hawaii1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.6 548.8 646.0 541.2 – – – – 36.9 38.0 37.3 37.4 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 769.2 748.3 767.5 761.9 3.9 3.9 4.1 4.2 55.1 56.4 55.9 57.4 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,183.8 5,585.4 6,134.9 5,637.3 8.4 7.1 8.4 6.6 240.8 228.2 243.2 229.8 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,169.0 2,969.4 3,116.5 2,987.4 6.1 5.4 6.1 5.5 152.0 152.9 151.2 152.6 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,599.6 1,474.6 1,579.2 1,485.2 2.6 2.3 2.6 2.3 84.0 75.5 85.3 75.8 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,424.1 1,347.8 1,404.6 1,339.1 6.8 6.1 6.9 6.1 66.7 65.5 65.9 65.6 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,948.8 1,775.5 1,930.2 1,779.0 9.9 7.2 10.0 7.4 82.5 82.1 83.4 82.3 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,987.6 1,819.5 1,960.3 1,822.1 37.1 30.3 37.1 30.7 142.3 124.1 137.8 123.4 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 650.8 579.5 651.3 590.4 2.1 2.1 2.3 2.2 31.4 31.5 31.6 32.7 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,799.4 2,547.6 2,778.3 2,574.7 1.3 1.2 1.3 1.2 168.4 169.7 169.1 173.5 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,747.2 3,220.1 3,726.5 3,280.4 1.1 0.9 1.1 0.9 168.8 145.9 169.9 151.8 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,485.4 3,889.6 4,411.2 3,927.2 7.6 6.4 7.7 6.7 182.5 180.3 185.4 183.3 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,022.4 2,738.5 3,003.0 2,746.9 6.8 5.5 6.9 5.5 140.4 131.7 142.1 133.9 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,155.4 1,105.3 1,143.9 1,102.9 6.8 6.1 6.8 6.0 45.8 40.9 44.9 40.7 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,925.4 2,716.2 2,886.3 2,744.4 4.5 4.2 4.5 4.2 130.5 131.0 131.9 135.7 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492.5 467.7 492.2 470.6 7.4 6.9 7.6 7.0 32.4 32.1 32.7 33.0 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,034.9 980.2 1,026.5 986.4 1.1 1.0 1.1 0.9 56.3 56.9 56.8 57.0 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,414.5 1,269.4 1,412.5 1,276.3 14.8 15.6 14.9 15.7 96.7 96.6 97.5 96.2 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689.6 612.5 684.3 619.5 1.0 1.0 1.0 1.0 28.8 27.6 29.2 28.5 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,270.8 3,685.6 4,211.1 3,758.7 1.4 1.4 1.4 1.5 163.2 149.3 164.6 152.3 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851.5 789.8 850.1 780.0 25.9 19.5 26.4 19.8 49.6 49.3 51.4 48.5 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,875.2 8,354.4 9,802.8 8,462.7 5.6 4.7 5.6 4.8 417.8 358.1 422.6 374.9 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,588.2 4,240.1 4,518.2 4,228.9 5.8 5.5 5.8 5.5 234.6 223.2 234.5 223.5 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445.4 406.3 439.1 404.6 21.9 14.1 21.9 13.9 30.9 29.9 32.1 30.0 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,623.4 5,080.0 5,609.0 5,120.7 12.2 10.2 12.3 10.0 238.1 221.5 239.2 225.3 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,699.6 1,612.3 1,686.5 1,602.1 50.2 34.5 48.5 34.1 83.7 76.4 84.6 77.3 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,955.6 1,787.2 1,931.6 1,790.9 7.0 6.1 7.1 6.2 110.6 107.7 113.1 109.5 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,073.8 5,454.4 6,040.8 5,507.8 29.6 24.0 29.6 24.1 270.8 254.8 274.1 256.7 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 508.3 450.4 503.7 461.3 0.3 0.3 0.3 0.3 20.8 18.9 21.0 19.3 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,202.9 2,081.0 2,189.8 2,077.3 4.5 4.2 4.5 4.2 107.8 109.2 107.8 107.1 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 450.4 426.6 445.4 425.9 1.1 1.2 1.1 1.2 25.5 28.6 26.2 28.7 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,104.5 2,949.6 3,092.7 2,940.1 4.5 4.0 4.6 3.9 133.1 128.6 132.6 129.4 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,821.5 12,145.7 12,765.8 12,087.8 253.4 192.7 250.7 191.5 777.0 747.5 779.6 742.9 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,558.3 1,517.7 1,544.3 1,516.8 9.6 8.6 9.6 8.5 111.6 121.6 112.9 120.8 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.4 272.7 312.1 275.3 0.8 0.8 0.9 0.8 16.3 11.9 16.6 12.3 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,087.6 3,792.7 4,066.6 3,782.9 8.1 7.2 7.7 7.1 206.1 210.2 207.6 213.8 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,498.3 3,193.2 3,493.7 3,251.5 6.0 5.3 6.1 5.2 223.6 213.0 225.8 216.4 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723.7 669.7 715.1 662.2 22.7 20.2 22.6 18.8 38.8 33.9 38.8 34.8 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,031.2 2,726.3 3,004.9 2,743.3 4.4 3.7 4.5 3.8 133.1 130.1 134.2 133.6 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298.5 275.6 297.2 276.7 21.1 15.5 20.7 15.3 23.9 23.9 24.8 24.7 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 878.5 800.2 870.3 791.8 0.6 0.4 0.5 0.4 27.2 20.1 26.5 19.2 Virgin Islands1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 35.9 37.2 36.1 – – – – 3.4 4.0 3.8 3.9 1 Mining and logging is combined with construction. p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjustedContinued [In thousands] State Manufacturing Trade, transportation, and utilities Information June July June July June July 2019 2020 2019 2020p 2019 2020 2019 2020p 2019 2020 2019 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.6 258.7 269.1 263.0 381.6 381.0 381.7 378.8 21.4 18.9 21.1 18.9 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.3 13.0 24.5 17.7 68.4 64.2 69.8 64.0 5.4 5.0 5.4 5.0 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.8 172.0 178.6 171.3 535.7 541.6 535.8 542.3 48.5 44.8 49.0 44.9 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.7 144.7 161.8 143.7 251.4 255.1 250.8 254.6 11.5 10.7 11.2 10.6 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,327.2 1,218.8 1,330.2 1,230.0 3,021.5 2,762.4 3,041.6 2,815.8 555.6 511.0 554.7 513.8 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.9 150.4 151.6 151.3 475.6 447.8 478.6 457.2 76.4 73.7 76.4 73.7 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.6 156.6 164.0 156.3 291.6 266.9 286.8 269.4 31.6 29.5 31.8 29.2 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.3 24.7 27.3 24.8 80.9 74.9 80.9 75.7 3.9 3.5 3.9 3.5 District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . 1.4 1.2 1.3 1.2 33.4 30.2 33.0 32.1 20.3 18.7 20.2 18.7 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385.2 373.0 384.5 373.5 1,784.7 1,723.1 1,787.5 1,730.0 139.4 128.2 138.5 126.9 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.5 384.4 407.7 387.4 940.1 930.1 940.3 928.4 117.6 102.6 117.5 102.8 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 11.6 13.9 11.3 123.0 105.6 123.0 105.6 7.8 7.3 8.1 7.3 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 67.6 69.5 69.3 144.7 146.2 145.2 148.8 9.0 8.0 9.0 8.0 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.1 561.4 588.4 553.8 1,209.3 1,140.9 1,205.2 1,145.3 95.3 89.4 94.6 87.7 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 546.6 500.9 537.2 499.7 601.7 579.6 598.2 579.6 29.3 25.2 29.0 25.4 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.9 218.0 228.5 220.6 311.5 300.9 311.3 302.0 21.5 20.1 21.3 19.9 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.8 159.3 167.3 155.4 265.5 263.7 266.2 264.3 18.0 16.6 18.1 16.5 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.5 237.2 252.6 237.3 402.9 374.7 403.6 377.4 21.8 18.4 21.7 18.3 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.3 128.5 137.9 129.5 377.7 357.1 376.5 360.4 22.1 18.6 21.7 18.6 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 49.0 54.1 45.1 120.1 113.5 121.6 117.3 7.2 5.7 7.2 5.6 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.6 105.1 114.2 106.1 468.2 432.1 467.6 437.7 35.7 29.2 35.7 29.2 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246.1 230.4 245.4 232.8 585.1 496.0 582.4 510.4 93.3 89.2 95.3 90.3 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 635.4 556.8 624.1 562.2 800.5 739.3 799.1 748.8 55.8 50.4 56.1 50.0 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327.1 307.1 328.9 308.8 532.6 513.3 531.1 515.2 47.1 41.2 47.5 40.1 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.9 141.9 146.2 142.6 230.4 225.9 229.8 225.5 10.8 10.2 10.8 9.4 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.4 264.7 275.8 268.4 542.1 514.9 541.9 520.7 48.2 42.7 48.1 41.8 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.1 19.3 21.2 19.3 94.9 92.0 94.8 92.5 6.2 5.3 6.2 5.3 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.8 97.2 100.0 97.6 198.4 196.2 198.1 194.8 17.5 16.0 17.3 15.9 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 57.3 59.7 58.6 260.1 230.4 260.2 234.0 15.8 14.1 15.6 13.6 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.2 65.9 72.1 65.4 140.5 123.6 139.8 125.4 12.6 11.7 12.6 11.5 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.8 240.6 253.3 240.6 889.3 797.8 883.6 824.6 68.7 62.1 67.8 62.5 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.5 26.1 28.9 26.5 135.7 132.3 136.2 133.2 11.4 9.5 11.8 9.7 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443.6 393.5 441.8 395.1 1,563.2 1,288.1 1,543.0 1,333.7 281.1 261.0 280.2 262.1 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479.1 443.4 479.5 437.8 850.2 815.1 848.8 818.1 76.5 71.3 76.2 71.4 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.7 24.9 26.5 24.8 94.0 86.5 93.7 85.7 6.1 5.5 6.1 5.5 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706.0 664.4 705.0 657.2 1,024.0 966.0 1,027.0 961.1 69.9 64.4 69.9 65.2 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.8 128.3 141.2 127.3 299.3 293.3 299.6 289.7 19.7 19.5 19.7 19.3 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.5 183.1 201.3 183.8 354.0 341.1 356.4 348.3 35.1 32.2 35.1 31.1 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579.7 543.1 579.0 540.1 1,121.3 1,020.8 1,114.6 1,010.3 88.1 73.3 88.3 75.1 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 38.8 39.3 38.8 77.6 70.2 76.3 71.1 5.8 5.2 5.9 5.2 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.4 252.3 260.4 253.5 409.3 399.0 409.6 392.8 27.9 26.4 27.2 26.4 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 43.2 45.4 42.3 87.1 83.0 87.2 83.2 5.6 5.3 5.5 5.3 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.1 319.4 356.9 324.0 635.4 627.2 634.6 628.4 46.4 43.2 46.0 42.8 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911.3 875.6 911.9 873.2 2,496.4 2,412.4 2,503.0 2,403.0 211.1 195.2 209.5 194.3 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.7 135.2 137.6 135.5 289.2 289.9 289.3 293.2 39.7 39.0 40.3 39.7 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.3 26.6 30.6 26.9 54.6 50.2 54.0 50.8 4.3 4.0 4.3 4.1 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.2 234.8 244.3 229.4 660.1 630.4 658.5 633.1 68.6 66.3 68.9 65.0 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.4 272.8 298.1 275.2 643.2 621.8 648.5 636.4 145.8 141.3 148.2 141.8 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.5 46.9 47.1 46.2 126.0 117.5 126.2 117.5 8.0 7.2 8.0 7.2 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490.4 456.9 492.2 463.5 538.6 508.8 534.8 510.8 47.2 39.5 47.6 39.5 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 10.3 10.1 10.3 53.1 52.5 53.2 52.6 3.4 3.0 3.4 2.9 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.2 74.5 74.5 74.1 173.3 151.4 171.4 154.9 16.1 15.2 16.1 15.2 Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.7 0.8 0.7 0.8 7.0 6.3 6.8 6.3 0.6 0.5 0.6 0.5 p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjustedContinued [In thousands] State Financial activities Professional and business services Education and health services June July June July June July 2019 2020 2019 2020p 2019 2020 2019 2020p 2019 2020 2019 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.5 96.3 97.2 96.5 251.1 227.8 251.4 232.0 246.9 230.8 248.9 229.9 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 11.4 12.3 11.6 28.7 27.2 29.2 27.2 50.9 47.0 50.6 47.2 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229.2 230.2 230.1 229.3 438.1 413.2 443.4 413.4 448.9 448.5 448.2 449.0 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 60.9 63.1 61.7 143.7 141.0 142.2 142.2 190.1 180.8 189.5 181.2 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 840.6 831.3 847.1 840.6 2,717.2 2,538.5 2,731.4 2,566.4 2,782.8 2,631.9 2,770.9 2,639.2 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.6 170.9 174.8 171.2 443.2 443.9 449.5 446.0 345.5 329.2 345.4 330.7 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.8 118.6 125.8 119.6 222.7 207.0 222.4 208.5 336.6 310.1 332.0 309.4 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.9 46.5 48.1 46.6 63.7 59.2 64.2 58.7 80.7 71.6 80.4 72.9 District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . 30.1 28.9 30.2 28.9 172.1 164.2 172.4 166.5 127.3 118.1 125.7 117.7 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.8 579.8 591.9 583.6 1,385.5 1,299.8 1,391.1 1,311.8 1,323.6 1,287.2 1,318.5 1,295.3 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.3 247.2 251.8 245.5 719.1 672.0 716.2 675.2 600.1 594.7 598.1 599.5 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.9 27.7 30.0 27.5 73.0 68.3 74.0 66.7 85.5 82.4 85.9 82.9 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.0 39.4 37.6 39.5 98.0 97.8 99.1 99.0 110.7 106.7 110.7 107.5 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414.8 403.3 416.6 406.1 958.2 870.1 959.9 880.9 931.1 872.2 925.0 875.6 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.1 139.1 143.1 141.1 346.9 327.0 345.2 337.5 473.8 449.0 472.4 450.6 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.8 107.9 111.0 108.7 141.0 128.9 141.6 133.4 229.1 216.5 225.0 217.5 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 76.1 78.1 75.6 180.4 172.6 180.8 174.0 201.1 191.6 200.4 192.5 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.8 87.4 94.1 87.3 215.6 184.3 215.6 185.7 282.4 262.0 280.1 268.3 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.4 90.8 92.2 91.2 215.7 201.3 214.6 198.0 318.6 296.0 315.9 297.2 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 32.1 33.6 32.3 71.0 66.2 71.2 66.2 127.6 116.8 127.1 117.2 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.4 139.2 145.4 140.0 468.7 440.6 469.5 439.3 472.7 431.0 472.4 430.5 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.9 222.7 229.0 223.1 612.4 574.8 616.2 577.4 800.7 718.6 801.2 727.1 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.1 221.5 227.8 222.2 664.0 573.3 642.2 578.3 681.8 607.3 674.1 609.6 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194.7 186.2 195.8 188.2 386.3 371.2 389.5 371.1 545.5 503.0 544.7 504.9 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 42.9 44.7 43.6 106.9 102.6 106.4 103.5 144.1 136.7 143.4 135.7 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.4 172.1 177.4 172.4 383.1 361.1 384.3 365.4 478.1 454.9 483.0 462.5 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.9 26.0 26.2 26.1 44.1 42.7 44.9 42.7 78.5 76.1 78.0 76.6 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.5 75.5 75.8 75.7 120.7 114.1 121.1 116.0 155.6 153.1 156.1 156.3 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.9 68.1 69.0 67.8 194.3 164.6 194.3 167.4 143.7 133.5 142.9 136.3 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 34.6 35.5 35.4 85.0 77.0 85.4 77.8 120.0 116.1 119.4 115.5 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.6 239.2 255.8 241.4 694.0 619.2 685.2 632.8 719.7 634.1 703.4 638.3 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 33.9 35.7 34.1 111.0 104.8 111.5 104.7 138.3 133.3 137.5 133.8 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735.7 689.0 741.0 690.0 1,392.5 1,204.8 1,396.1 1,216.0 2,105.9 1,932.0 2,074.0 1,937.9 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.6 253.3 256.3 256.1 652.7 616.7 652.6 621.6 623.4 577.4 622.4 579.0 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.8 24.7 24.7 24.4 33.8 32.4 33.8 33.4 67.1 65.4 66.6 64.9 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.9 297.9 313.0 298.1 743.0 663.5 745.1 678.5 934.3 863.5 930.0 875.7 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 79.6 79.9 80.1 195.3 180.7 195.4 180.5 238.3 230.6 237.4 232.1 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.3 98.7 104.8 99.7 254.4 237.6 256.3 242.1 296.8 282.5 293.3 283.8 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332.4 329.2 333.4 333.3 816.9 760.5 820.5 764.3 1,264.6 1,186.1 1,257.9 1,191.6 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 35.1 35.9 35.7 69.0 61.7 69.2 62.3 105.6 97.1 104.3 99.5 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.7 104.2 106.3 104.9 298.4 282.1 295.5 288.3 257.2 242.6 255.7 243.9 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.2 29.4 29.1 29.2 33.7 33.6 33.9 33.9 73.3 69.7 72.4 69.7 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.1 173.1 173.8 174.1 426.4 395.3 424.6 398.8 437.6 425.3 435.6 424.3 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 802.9 804.1 807.3 806.4 1,786.8 1,740.7 1,801.6 1,757.9 1,729.5 1,662.4 1,729.0 1,668.3 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.1 94.4 91.1 94.1 225.7 218.8 226.2 220.0 203.4 200.5 201.6 194.8 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.4 11.3 12.6 11.5 30.0 27.3 30.4 28.2 63.0 59.1 63.2 59.9 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.1 210.3 214.6 208.2 772.5 742.8 774.5 741.9 546.1 508.2 546.7 510.9 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.5 156.9 163.0 159.1 436.4 428.3 441.2 439.3 499.7 464.9 496.1 470.9 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.4 26.8 29.3 27.5 69.9 64.5 70.1 65.0 128.4 120.6 127.7 122.2 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.1 153.0 156.6 153.2 330.5 299.1 329.4 301.0 465.4 433.1 458.9 437.8 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 10.7 11.3 10.8 20.0 18.3 20.3 18.5 28.1 27.9 27.8 28.1 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.0 43.8 43.9 43.4 123.4 106.4 121.7 106.7 118.0 113.5 113.5 111.2 Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 1.8 1.9 1.8 3.8 3.8 3.7 3.7 2.2 2.1 2.1 2.1 p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. ESTABLISHMENT DATA NOT SEASONALLY ADJUSTED Table 4. Employees on nonfarm payrolls by state and selected industry sector, not seasonally adjustedContinued [In thousands] State Leisure and hospitality Other services Government June July June July June July 2019 2020 2019 2020p 2019 2020 2019 2020p 2019 2020 2019 2020p Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.9 173.4 212.9 179.2 99.8 94.3 99.2 94.5 393.0 369.8 383.5 369.2 Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 28.3 44.3 30.0 11.4 10.0 11.4 9.3 80.9 72.8 75.3 70.6 Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326.7 277.2 321.6 261.0 94.8 96.2 94.4 95.6 384.4 369.3 372.4 367.8 Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.4 104.2 122.6 105.0 60.1 57.2 59.8 57.5 208.4 200.5 196.9 187.4 California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,066.8 1,429.2 2,069.4 1,438.7 580.1 446.4 581.6 462.7 2,643.8 2,437.9 2,456.3 2,291.7 Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.7 269.3 363.0 287.2 114.5 103.1 115.2 104.0 450.4 434.1 435.9 400.2 Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.8 111.0 169.3 127.0 66.7 53.0 66.8 57.4 232.0 213.9 218.3 200.0 Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 39.9 59.4 45.2 19.0 15.4 18.9 16.0 65.3 62.5 64.5 62.4 District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . 83.6 44.0 82.5 48.2 78.2 77.0 78.7 76.9 237.3 241.4 249.1 249.1 Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,252.2 971.5 1,245.7 1,004.6 354.8 322.7 353.3 320.6 1,051.9 1,038.2 1,039.1 1,028.7 Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511.5 415.5 509.1 430.7 166.8 154.3 167.0 155.5 680.7 660.8 664.6 657.7 Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.7 66.3 127.0 61.0 28.5 25.4 28.3 25.3 126.3 116.2 118.5 116.2 Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.2 76.5 89.5 81.9 27.4 24.8 27.4 25.6 126.8 121.0 119.5 120.7 Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.6 421.6 650.7 490.4 259.0 235.6 258.1 236.9 825.2 755.6 784.8 724.2 Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.0 280.7 323.0 303.1 135.7 126.5 135.5 126.1 409.8 383.1 375.6 366.2 Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.9 112.3 152.1 122.0 59.2 52.9 59.4 54.0 259.1 239.3 241.1 229.0 Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133.6 112.0 134.0 117.2 51.2 46.6 52.2 48.0 254.4 237.7 234.7 223.9 Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209.6 177.2 208.1 186.3 66.5 63.4 66.0 63.9 311.3 281.6 295.0 264.8 Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.7 188.6 235.9 189.7 74.6 68.2 73.9 70.8 327.1 316.0 316.8 312.6 Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 48.9 88.0 61.9 22.6 20.5 23.0 20.8 101.8 93.2 91.6 89.1 Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302.9 208.6 303.6 237.0 116.3 102.2 116.4 106.6 507.2 488.7 483.1 473.6 Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.2 212.6 413.5 259.2 144.1 99.8 146.4 108.3 461.5 429.2 426.1 399.1 Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461.2 263.7 460.2 293.6 170.1 134.6 168.8 146.1 599.4 556.0 565.7 526.4 Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291.6 190.0 295.4 209.2 116.4 98.0 116.5 101.1 433.9 391.3 404.6 368.9 Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.0 126.6 137.7 128.9 40.8 40.8 40.5 40.5 239.1 230.7 232.7 226.5 Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.5 243.7 323.4 261.2 118.7 114.4 118.4 115.4 439.9 412.5 397.6 396.7 Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.2 59.9 73.9 64.1 19.6 18.2 19.5 18.4 90.2 89.2 87.2 85.6 Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 74.3 96.6 79.7 37.5 34.8 37.8 36.0 174.5 161.1 165.8 156.5 Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.6 301.5 360.3 303.7 42.1 36.4 42.1 35.1 158.9 151.3 156.0 147.9 New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.7 50.2 83.9 60.1 26.3 25.2 26.6 26.2 88.0 79.6 78.8 72.7 New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429.9 229.0 435.8 285.1 178.4 128.9 177.5 153.2 616.8 584.0 582.7 526.4 New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 76.9 102.2 77.0 31.2 25.4 30.3 25.7 183.2 178.8 178.2 167.0 New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,007.8 488.0 1,016.3 588.3 418.6 324.2 417.3 350.6 1,503.4 1,411.0 1,464.9 1,309.3 North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539.1 395.9 538.7 404.9 162.2 157.2 162.1 158.9 710.0 681.1 641.3 652.1 North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 32.5 42.0 34.8 15.7 13.7 15.4 14.0 82.6 76.7 76.3 73.2 Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 600.7 428.0 599.5 453.9 216.8 200.2 216.1 202.2 766.5 700.4 751.9 693.5 Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.3 168.2 175.8 165.9 71.5 67.0 71.4 68.6 343.7 334.2 333.0 327.2 Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.3 152.9 224.1 163.1 64.9 59.9 65.2 61.7 308.7 285.4 274.9 261.6 Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 610.0 386.8 614.2 440.0 266.3 207.8 267.4 225.4 694.1 668.0 661.8 646.9 Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 43.8 66.8 51.1 23.8 17.8 23.8 18.8 64.1 61.5 60.9 59.2 South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.8 226.2 284.9 229.0 79.9 80.9 80.4 82.4 370.0 353.9 357.5 344.8 South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 42.9 51.9 46.1 17.3 15.4 17.3 15.3 80.9 74.3 75.4 71.0 Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.1 303.1 357.3 308.0 123.1 117.6 122.5 117.4 409.7 412.8 404.2 389.0 Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,427.1 1,205.4 1,422.6 1,177.4 455.9 418.6 450.7 416.3 1,970.1 1,891.1 1,899.9 1,856.6 Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.7 124.8 157.6 127.6 42.9 41.6 43.3 45.3 251.7 243.3 234.8 237.3 Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 19.2 38.7 21.8 10.5 9.3 10.5 9.3 55.5 53.0 50.3 49.7 Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432.0 311.4 431.8 333.7 204.7 187.8 205.9 192.9 730.1 683.3 706.1 646.9 Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.6 233.7 361.5 256.3 130.4 106.1 130.4 109.3 595.7 549.1 574.8 541.6 West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 59.8 77.7 61.7 25.0 22.7 24.3 23.3 150.4 149.6 143.3 138.0 Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.1 217.3 309.3 228.3 155.1 131.1 154.2 133.3 403.3 353.7 383.2 338.5 Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 33.2 43.3 36.1 16.4 14.7 16.5 14.9 69.8 65.6 65.8 62.5 Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.4 57.7 81.2 58.7 18.2 16.6 18.0 16.6 202.1 200.6 203.0 191.4 Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 4.3 5.3 4.6 1.5 1.7 1.6 1.7 10.4 10.6 10.7 10.7 p Preliminary NOTE: Data are counts of jobs by place of work. Estimates are currently estimated from 2019 benchmark levels. Estimates subsequent to the current benchmarks are preliminary and will be revised when new information becomes available. TEXAS N.M. CALIF. NEV. MONT. ARIZ. ORE. S.D. WYO. KAN. MO. N.D. COLO. NEB. GA. UTAH ILL. MINN. LA. PA. IDAHO FLA. N.Y. KY. WIS. N.C. VA. OKLA. ALA. ARK. IOWA WASH. MISS. IND. OHIO S.C. MICH. TENN. MAINE W.VA. VT. MD. N.H. Map 1. Unemployment rates by state, seasonally adjusted, July 2020 (U.S. rate = 10.2 percent) HAWAII ALASKA D.C. ! MASS. ! CONN. ! R.I. ! DEL. ! N.J. 15.0% or higher 12.5% to 14.9% 10.0% to 12.4% 7.5% to 9.9% 7.4% or lower WASH. ORE. CALIF. IDAHO NEV. ARIZ. MONT. WYO. COLO. N.M. N.D. S.D. NEB. KAN. OKLA. TEXAS MINN. IOWA MO. ARK. LA. WIS. ILL. MICH. IND. OHIO KY. TENN. MISS. ALA. GA. S.C. N.C. VA. W.VA. PA. N.Y. MAINE N.H. VT. MASS. R.I. N.J. CONN. DEL. FLA. MD. UTAH ALASKA HAWAII D.C. Above -4.0% -6.0% to -4.0% -8.0% to -6.1% -10.0% to -8.1% Below -10.0% Map 2. Percentage change in nonfarm employment by state, seasonally adjusted, July 2019 - July 2020 Décrets, arrêtés, circulaires TEXTES GÉNÉRAUX MINISTÈRE DU TRAVAIL, DE L’EMPLOI ET DE L’INSERTION Décret no 2020-1086 du 24 août 2020 relatif à la prise en charge financière de la période de formation en centre de formation d’apprentis des personnes en recherche de contrat d’apprentissage prévue à l’article 75 de la loi no 2020-935 du 30 juillet 2020 de finances rectificative pour 2020 NOR : MTRD2020639D Publics concernés : employeurs d’apprentis, apprentis, opérateurs de compétences, organismes de formation, centres de formation d’apprentis, France compétences. Objet : modalités de prise en charge financière de la période de formation en centre de formation d’apprentis suivie par des personnes en recherche de contrat d’apprentissage. Entrée en vigueur : le texte entre en vigueur au lendemain de sa publication et s’applique aux cycles de formation en apprentissage qui ont débuté ou qui débutent entre le 1er août 2020 et le 31 décembre 2020. Notice : le texte définit les modalités de prise en charge financière de la période de formation en centre de formation d’apprentis prévue à l’article 75 de la loi no 2020-935 du 30 juillet 2020 de finances rectificative pour 2020, qui ouvre la possibilité, sous certaines conditions, de commencer un cycle de formation entre le 1er août 2020 et le 31 décembre 2020 sans avoir été engagé par un employeur. Références : le décret est pris pour l’application de l’article 75 de la loi no 2020-935 du 30 juillet 2020 de finances rectificative pour 2020. Le décret peut être consulté sur le site Légifrance (https://www.legifrance.gouv. fr). Le Premier ministre, Sur le rapport de la ministre du travail, de l’emploi et de l’insertion, Vu le code du travail, notamment ses articles L. 6222-12-1 et L. 6332-14 ; Vu la loi no 2020-935 du 30 juillet 2020 de finances rectificative pour 2020, notamment son article 75 ; Vu l’avis de la Commission nationale de la négociation collective, de l’emploi et de la formation professionnelle en date du 13 août 2020, Décrète : Art. 1er. – La prise en charge financière de la période mentionnée à l’article 75 de la loi du 30 juillet 2020 susvisée est assurée par l’opérateur de compétences désigné par arrêté du ministre chargé de la formation professionnelle, avec lequel l’Etat conclut une convention précisant les modalités de suivi, de mise en œuvre et de contrôle de cette prise en charge financière. Art. 2. – Lorsque, en application de l’article 75 de la loi du 30 juillet 2020 susvisée, un cycle de formation en centre de formation d’apprentis a débuté ou débute sans que la personne n’ait été engagée par un employeur, le centre de formation d’apprentis transmet à l’opérateur de compétences mentionné à l’article 1er dans les cinq jours suivant le début du cycle de formation les informations relatives au centre de formation et au bénéficiaire de la formation selon des modalités précisées par arrêté du ministre chargé de la formation professionnelle. Art. 3. – En l’absence de conclusion d’un contrat d’apprentissage au cours des six mois suivant le début du cycle de formation, le centre de formation d’apprentis bénéficie, au titre de l’apprenti concerné, d’une prise en charge par l’opérateur de compétences mentionné à l’article 1er du présent décret d’un montant forfaitaire mensuel de 500 euros. Chaque mois de formation débuté est dû. A l’issue du troisième mois du cycle de formation, après réception de la facture relative à la prise en charge financière de la période adressée par le centre de formation d’apprentis, l’opérateur de compétences mentionné à l’article 1er du présent décret procède au versement des montants forfaitaires correspondant à cette période. A l’issue du sixième mois, après réception de la facture relative à la prise en charge financière de la période adressée par le centre de formation d’apprentis, l’opérateur de compétences mentionné à l’article 1er du présent décret procède au versement du solde des sommes dues. Le centre de formation d’apprentis bénéficie, le cas échéant, de la prise en charge des frais annexes mentionnés aux 1o et 2o du D. 6332-83 du code du travail. 25 août 2020 JOURNAL OFFICIEL DE LA RÉPUBLIQUE FRANÇAISE Texte 16 sur 57 L’opérateur de compétences mentionné à l’article 1er du présent décret adresse au centre de formation d’apprentis, après chaque versement, une attestation récapitulant les sommes versées. Art. 4. – Lorsqu’un contrat d’apprentissage est conclu pendant la période mentionnée au premier alinéa de l’article 75 de la loi du 30 juillet 2020 susvisée, la prise en charge financière est assurée selon les modalités suivantes : 1o Lorsqu’un contrat d’apprentissage est conclu durant les trois premiers mois suivant le début du cycle de formation, le centre de formation d’apprentis informe l’opérateur de compétences mentionné à l’article 1er du présent décret de la conclusion du contrat et de sa date de début d’exécution. La prise en charge financière est assurée selon les modalités de financement prévues au troisième alinéa du VI de l’article R. 6332-25 du code du travail ; 2o Lorsqu’un contrat d’apprentissage est conclu entre le quatrième mois et la fin du sixième mois suivant le début du cycle de formation en apprentissage, l’opérateur de compétences de l’employeur verse au centre de formation d’apprentis un montant égal à la somme du niveau de prise en charge mentionné au 1o du I de l’article L. 6332-14 du code du travail et des frais annexes mentionnés au 3o du même I, selon les modalités suivantes : a) Après le dépôt du contrat d’apprentissage selon les modalités prévues à l’article D. 6224-2 du code du travail et la réception de la facture relative à la prise en charge financière de la période incluant celle effectuée et celle courant jusqu’à la fin du sixième mois du cycle de formation, l’opérateur de compétences de l’employeur verse une avance correspondant à 50 % du niveau de prise en charge mentionné au 1o du I de l’article L. 6332-14 du code du travail, déduction faite du montant versé au centre de formation d’apprentis par l’opérateur de compétences mentionné à l’article 1er du présent décret au titre des trois premiers mois du cycle de formation, à l’exception de celui versé le cas échéant au titre des frais annexes ; b) A l’issue du sixième mois suivant le début du cycle de formation et après réception de la facture relative à la prise en charge financière de la période postérieure au sixième mois du cycle de formation, l’opérateur de compétences de l’employeur verse un montant correspondant à la somme de 25 % du niveau de prise en charge mentionné au 1o du I de l’article L. 6332-14 du code du travail et du montant des frais annexes mentionnés au 3o du même I versés pour la période des six premiers mois du cycle de formation, déduction faite le cas échéant du montant versé au centre de formation d’apprentis par l’opérateur de compétences mentionné à l’article 1er du présent décret au titre des trois premiers mois des frais annexes. L’attestation de versement délivrée par l’opérateur de compétences mentionné à l’article 1er du présent décret est transmise par le centre de formation d’apprentis avec chacune des factures. Art. 5. – Les dispositions du présent décret sont applicables aux cycles de formation en apprentissage qui ont débuté ou qui débutent entre le 1er août 2020 et le 31 décembre 2020. Art. 6. – La ministre du travail, de l’emploi et de l’insertion est chargée de l’exécution du présent décret, qui sera publié au Journal officiel de la République française. Fait le 24 août 2020. JEAN CASTEX Par le Premier ministre : La ministre du travail, de l’emploi et de l’insertion, ELISABETH BORNE 25 août 2020 JOURNAL OFFICIEL DE LA RÉPUBLIQUE FRANÇAISE Texte 16 sur 57 Transmission of material in this news release is embargoed until USDL-20-1310 8:30 a.m. (ET) Thursday, July 2, 2020 Technical information: Household data: cpsinfo@bls.gov • www.bls.gov/cps Establishment data: cesinfo@bls.gov • www.bls.gov/ces Media contact: (202) 691-5902 • PressOffice@bls.gov THE EMPLOYMENT SITUATION — JUNE 2020 Total nonfarm payroll employment rose by 4.8 million in June, and the unemployment rate declined to 11.1 percent, the U.S. Bureau of Labor Statistics reported today. These improvements in the labor market reflected the continued resumption of economic activity that had been curtailed in March and April due to the coronavirus (COVID-19) pandemic and efforts to contain it. In June, employment in leisure and hospitality rose sharply. Notable job gains also occurred in retail trade, education and health services, other services, manufacturing, and professional and business services. This news release presents statistics from two monthly surveys. The household survey measures labor force status, including unemployment, by demographic characteristics. The establishment survey measures nonfarm employment, hours, and earnings by industry. For more information about the concepts and statistical methodology used in these two surveys, see the Technical Note. Household Survey Data The unemployment rate declined by 2.2 percentage points to 11.1 percent in June, and the number of unemployed persons fell by 3.2 million to 17.8 million. Although unemployment fell in May and June, the jobless rate and the number of unemployed are up by 7.6 percentage points and 12.0 million, Chart 1. Unemployment rate, seasonally adjusted, June 2018 – June 2020 Percent -25,000 -20,000 -15,000 -10,000 -5,000 0 5,000 10,000 Jun-18 Sep-18 Dec-18 Mar-19 Jun-19 Sep-19 Dec-19 Mar-20 Jun-20 Thousands Chart 2. Nonfarm payroll employment over-the-month change, seasonally adjusted, June 2018 – June 2020 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 Jun-18 Sep-18 Dec-18 Mar-19 Jun-19 Sep-19 Dec-19 Mar-20 Jun-20 -2- respectively, since February. (See table A-1. For more information about how the household survey and its measures were affected by the coronavirus pandemic, see the box note on page 5.) Among the major worker groups, the unemployment rates declined in June for adult men (10.2 percent), adult women (11.2 percent), teenagers (23.2 percent), Whites (10.1 percent), Blacks (15.4 percent), and Hispanics (14.5 percent). The jobless rate for Asians (13.8 percent) changed little over the month. (See tables A-1, A-2, and A-3.) The number of unemployed persons who were on temporary layoff decreased by 4.8 million in June to 10.6 million, following a decline of 2.7 million in May. The number of permanent job losers continued to rise, increasing by 588,000 to 2.9 million in June. The number of unemployed reentrants to the labor force rose by 711,000 to 2.4 million. (Reentrants are persons who previously worked but were not in the labor force prior to beginning their job search.) (See table A-11.) The number of unemployed persons who were jobless less than 5 weeks declined by 1.0 million to 2.8 million in June. Unemployed persons who were jobless 5 to 14 weeks numbered 11.5 million, down by 3.3 million over the month, and accounted for 65.2 percent of the unemployed. By contrast, the number of persons jobless 15 to 26 weeks and the long-term unemployed (those jobless for 27 weeks or more) saw over-the-month increases (+825,000 to 1.9 million and +227,000 to 1.4 million, respectively). (See table A-12.) The labor force participation rate increased by 0.7 percentage point in June to 61.5 percent, but is 1.9 percentage points below its February level. Total employment, as measured by the household survey, rose by 4.9 million to 142.2 million in June. The employment-population ratio, at 54.6 percent, rose by 1.8 percentage points over the month but is 6.5 percentage points lower than in February. (See table A1.) In June, the number of persons who usually work full time increased by 2.4 million to 118.9 million, and the number who usually work part time also rose by 2.4 million to 23.2 million. (See table A-9.) The number of persons employed part time for economic reasons declined by 1.6 million to 9.1 million in June but is still more than double its February level. These individuals, who would have preferred full-time employment, were working part time because their hours had been reduced or they were unable to find full-time jobs. This group includes persons who usually work full time and persons who usually work part time. (See table A-8.) The number of persons not in the labor force who currently want a job, at 8.2 million, declined by 767,000 in June but remained 3.2 million higher than in February. These individuals were not counted as unemployed because they were not actively looking for work during the last 4 weeks or were unavailable to take a job. (See table A-1.) Persons marginally attached to the labor force—a subset of persons not in the labor force who currently want a job—numbered 2.5 million in June, little different from the prior month. 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 but had not looked for work in the 4 weeks preceding the survey. Discouraged workers, a subset of the marginally attached who believed that no jobs were available for them, numbered 681,000 in June, essentially unchanged from the previous month. (See Summary table A.) -3- Establishment Survey Data Total nonfarm payroll employment increased by 4.8 million in June, following an increase of 2.7 million in May. These gains reflect a partial resumption of economic activity that had been curtailed due to the coronavirus pandemic in April and March, when employment fell by a total of 22.2 million in the 2 months combined. In June, nonfarm employment was 14.7 million, or 9.6 percent, lower than its February level. Employment in leisure and hospitality rose sharply in June. Notable job gains also occurred in retail trade, education and health services, other services, manufacturing, and professional and business services. Employment continued to decline in mining. (See table B-1. For more information about how the establishment survey and its measures were affected by the coronavirus pandemic, see the box note on page 5.) In June, employment in leisure and hospitality increased by 2.1 million, accounting for about twofifths of the gain in total nonfarm employment. Over the month, employment in food services and drinking places rose by 1.5 million, following a gain of the same magnitude in May. Despite these gains, employment in food services and drinking places is down by 3.1 million since February. Employment also rose in June in amusements, gambling, and recreation (+353,000) and in the accommodation industry (+239,000). In June, employment in retail trade rose by 740,000, after a gain of 372,000 in May and losses totaling 2.4 million in March and April combined. On net, employment in the industry is 1.3 million lower than in February. In June, notable job gains occurred in clothing and clothing accessories stores (+202,000), general merchandise stores (+108,000), furniture and home furnishings stores (+84,000), and motor vehicle and parts dealers (+84,000). Employment increased by 568,000 in education and health services in June but is 1.8 million below February’s level. Health care employment increased by 358,000 over the month, with gains in offices of dentists (+190,000), offices of physicians (+80,000), and offices of other health practitioners (+48,000). Elsewhere in health care, job losses continued in nursing care facilities (-18,000). Employment increased in the social assistance industry (+117,000), reflecting gains in child day care services (+80,000) and in individual and family services (+28,000). Employment in private education rose by 93,000 over the month. Employment increased in the other services industry in June (+357,000), with about three-fourths of the increase occurring in personal and laundry services (+264,000). Since February, employment in the other services industry is down by 752,000. In June, manufacturing employment rose by 356,000 but is down by 757,000 since February. June employment increases were concentrated in the durable goods component, with motor vehicles and parts (+196,000) accounting for over half of the job gain in manufacturing. Employment also increased over the month in miscellaneous durable goods manufacturing (+26,000) and machinery (+18,000). Within the nondurable goods component, the largest job gain occurred in plastics and rubber products (+22,000). Professional and business services added 306,000 jobs in June, but employment is 1.8 million below its February level. In June, employment rose in temporary help services (+149,000), services to buildings and dwellings (+53,000), and accounting and bookkeeping services (+18,000). By contrast, employment declined in computer systems design and related services (-20,000). -4- Construction employment increased by 158,000 in June, following a gain of 453,000 in May. These gains accounted for more than half of the decline in March and April (-1.1 million combined). Over-themonth gains occurred in specialty trade contractors (+135,000), with growth about equally split between the residential and nonresidential components. Job gains also occurred in construction of buildings (+32,000). Transportation and warehousing added 99,000 jobs in June, following declines in the prior 2 months (-588,000 in April and May combined). In June, employment rose in warehousing and storage (+61,000), couriers and messengers (+21,000), truck transportation (+8,000), and support activities for transportation (+7,000). Wholesale trade employment rose by 68,000 in June but is down by 317,000 since February. In June, job gains occurred in the durable goods (+39,000) and nondurable goods (+27,000) components. Financial activities added 32,000 jobs in June, with over half of the gain in real estate (+18,000). Since February, employment in financial activities is down by 237,000. Government employment changed little in June (+33,000), as job gains in local government education (+70,000) were partially offset by job losses in state government (-25,000). Government employment is 1.5 million below its February level. Mining continued to lose jobs in June (-10,000), with most of the decline occurring in support activities for mining (-7,000). Mining employment is down by 123,000 since a recent peak in January 2019, although nearly three-fourths of the decline has occurred since February 2020. In June, average hourly earnings for all employees on private nonfarm payrolls fell by 35 cents to $29.37. Average hourly earnings of private-sector production and nonsupervisory employees decreased by 23 cents to $24.74 in June. The decreases in average hourly earnings largely reflect job gains among lower-paid workers; these changes put downward pressure on the average hourly earnings estimates. (See tables B-3 and B-8.) The average workweek for all employees on private nonfarm payrolls decreased by 0.2 hour to 34.5 hours in June. In manufacturing, the workweek rose by 0.5 hour to 39.2 hours, and overtime was unchanged at 2.4 hours. The average workweek for production and nonsupervisory employees on private nonfarm payrolls fell by 0.2 hour to 33.9 hours. The recent employment changes, especially in industries with shorter workweeks, complicate monthly comparisons of the average weekly hours estimates. (See tables B-2 and B-7.) The change in total nonfarm payroll employment for April was revised down by 100,000, from -20.7 million to -20.8 million, and the change for May was revised up by 190,000, from +2.5 million to +2.7 million. With these revisions, employment in April and May combined was 90,000 higher 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 Employment Situation for July is scheduled to be released on Friday, August 7, 2020, at 8:30 a.m. (ET). -5- Coronavirus (COVID-19) Impact on June 2020 Establishment and Household Survey Data Data collection for both surveys was affected by the coronavirus (COVID-19) pandemic. In the establishment survey, approximately one-fifth of the data is assigned to four regional data collection centers. Although these centers were closed, interviewers at these centers worked remotely to collect data by telephone. Additionally, BLS encouraged businesses to report electronically. The collection rate for the establishment survey in June was 63 percent, lower than collection rates prior to the pandemic. The household survey is generally collected through in-person and telephone interviews, but personal interviews were not conducted for the safety of interviewers and respondents. The household survey response rate, at 65 percent, was about 18 percentage points lower than in months prior to the pandemic. In the establishment survey, workers who are paid by their employer for all or any part of the pay period including the 12th of the month are counted as employed, even if they were not actually at their jobs. Workers who are temporarily or permanently absent from their jobs and are not being paid are not counted as employed, even if they are continuing to receive benefits. In the household survey, individuals are classified as employed, unemployed, or not in the labor force based on their answers to a series of questions about their activities during the survey reference week (June 7th through June 13th). Workers who indicate they were not working during the entire survey reference week and expect to be recalled to their jobs should be classified as unemployed on temporary layoff. In June, a large number of persons were classified as unemployed on temporary layoff. As was the case in March, April, and May, household survey interviewers were instructed to classify employed persons absent from work due to temporary, coronavirus-related business closures as unemployed on temporary layoff. BLS and Census Bureau analyses of the underlying data suggest that this group still included some workers affected by the pandemic who should have been classified as unemployed on temporary layoff. The degree of misclassification declined considerably in June. BLS and Census Bureau staff have been reviewing survey responses that might have been misclassified. The misclassification hinges on a question about the main reason people were absent from their jobs. If people who were absent due to temporary, pandemic-related closures were recorded as absent due to “other reasons,” they could have been misclassified. When interviewers record a response of “other reason,” they also add a few words describing that other reason. The review of these brief descriptions found that the share of responses that may have been misclassified was much smaller in June than in prior months. BLS and the Census Bureau are continuing to investigate the misclassification and are taking additional steps to address the issue. If the workers who were recorded as employed but absent from work due to “other reasons” (over and above the number absent for other reasons in a typical June) had been classified as unemployed on temporary layoff, the overall unemployment rate would have been about 1 percentage point higher than reported (on a not seasonally adjusted basis). However, this represents the upper bound of our estimate of misclassification and probably overstates the size of the misclassification error. According to usual practice, the data from the household survey are accepted as recorded. To maintain data integrity, no ad hoc actions are taken to reclassify survey responses. More information is available at www.bls.gov/cps/employment-situation-covid19-faq-june-2020.pdf . -6- 2020 Preliminary Benchmark Revision to Establishment Survey Data to be released on August 19, 2020 Each year, the establishment survey estimates are benchmarked to comprehensive counts of employment from the Quarterly Census of Employment and Wages (QCEW) for the month of March. These counts are derived from state unemployment insurance (UI) tax records that nearly all employers are required to file. On August 19, 2020, at 10:00 a.m. (ET), the Bureau of Labor Statistics (BLS) will release the preliminary estimate of the upcoming annual benchmark revision. This is the same day that the firstquarter 2020 data from QCEW will be issued. Preliminary benchmark revisions for all major industry sectors, as well as total nonfarm and total private employment, will be available at www.bls.gov/web/empsit/cesprelbmk.htm . The final benchmark revision will be issued with the publication of the January 2021 Employment Situation news release in February 2021. HOUSEHOLD DATA Summary table A. Household data, seasonally adjusted [Numbers in thousands] Category June 2019 Apr. 2020 May 2020 June 2020 Change from: May 2020- June 2020 Employment status Civilian noninstitutional population........................................... 259,037 259,896 260,047 260,204 157 Civilian labor force........................................................... 163,133 156,481 158,227 159,932 1,705 Participation rate.......................................................... 63.0 60.2 60.8 61.5 0.7 Employed................................................................... 157,148 133,403 137,242 142,182 4,940 Employment-population ratio.......................................... 60.7 51.3 52.8 54.6 1.8 Unemployed............................................................... 5,985 23,078 20,985 17,750 -3,235 Unemployment rate.................................................... 3.7 14.7 13.3 11.1 -2.2 Not in labor force............................................................ 95,905 103,415 101,820 100,273 -1,547 Unemployment rates Total, 16 years and over...................................................... 3.7 14.7 13.3 11.1 -2.2 Adult men (20 years and over)............................................ 3.3 13.0 11.6 10.2 -1.4 Adult women (20 years and over)......................................... 3.3 15.5 13.9 11.2 -2.7 Teenagers (16 to 19 years)................................................ 12.7 31.9 29.9 23.2 -6.7 White.......................................................................... 3.3 14.2 12.4 10.1 -2.3 Black or African American.................................................. 6.0 16.7 16.8 15.4 -1.4 Asian.......................................................................... 2.1 14.5 15.0 13.8 -1.2 Hispanic or Latino ethnicity................................................. 4.3 18.9 17.6 14.5 -3.1 Total, 25 years and over...................................................... 3.0 13.1 11.6 9.7 -1.9 Less than a high school diploma.......................................... 5.3 21.2 19.9 16.6 -3.3 High school graduates, no college........................................ 3.9 17.3 15.3 12.1 -3.2 Some college or associate degree........................................ 3.0 15.0 13.3 10.9 -2.4 Bachelor’s degree and higher.............................................. 2.1 8.4 7.4 6.9 -0.5 Reason for unemployment Job losers and persons who completed temporary jobs.................. 2,744 20,626 18,291 14,272 -4,019 Job leavers...................................................................... 889 570 554 565 11 Reentrants....................................................................... 1,850 1,477 1,645 2,356 711 New entrants.................................................................... 537 389 536 563 27 Duration of unemployment Less than 5 weeks............................................................. 1,949 14,283 3,875 2,838 -1,037 5 to 14 weeks................................................................... 1,832 7,004 14,814 11,496 -3,318 15 to 26 weeks................................................................. 776 833 1,078 1,903 825 27 weeks and over............................................................. 1,413 939 1,164 1,391 227 Employed persons at work part time Part time for economic reasons.............................................. 4,350 10,887 10,633 9,062 -1,571 Slack work or business conditions........................................ 2,704 9,939 9,543 7,939 -1,604 Could only find part-time work............................................. 1,338 697 843 942 99 Part time for noneconomic reasons.......................................... 21,538 12,355 14,394 17,137 2,743 Persons not in the labor force Marginally attached to the labor force....................................... 1,555 2,281 2,394 2,471 77 Discouraged workers........................................................ 427 574 662 681 19 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 June 2019 Apr. 2020 May 2020p June 2020p EMPLOYMENT BY SELECTED INDUSTRY (Over-the-month change, in thousands) Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 -20,787 2,699 4,800 Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180 -19,835 3,232 4,767 Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 -2,388 684 504 Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -2 -53 -19 -10 Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 -1,018 453 158 Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 -1,317 250 356 Durable goods1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 -905 153 290 Motor vehicles and parts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -0.7 -354.9 43.3 195.8 Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 -412 97 66 Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 -17,447 2,548 4,263 Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 -385.2 12.3 67.6 Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -5.4 -2,299.0 371.5 739.8 Transportation and warehousing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.1 -559.8 -28.3 98.7 Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 -3.6 -1.6 -3.2 Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 -279 -39 9 Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 -261 10 32 Professional and business services1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 -2,202 160 306 Temporary help services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -4.5 -840.5 46.9 148.9 Education and health services1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 -2,603 399 568 Health care and social assistance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.9 -2,135.5 369.5 474.9 Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 -7,575 1,403 2,088 Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 -1,279 261 357 Government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 -952 -533 33 (3-month average change, in thousands) Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 -7,303 -6,487 -4,429 Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 -6,990 -5,986 -3,945 WOMEN AND PRODUCTION AND NONSUPERVISORY EMPLOYEES AS A PERCENT OF ALL EMPLOYEES2 Total nonfarm women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.9 49.3 49.2 49.5 Total private women employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.5 47.6 47.6 48.1 Total private production and nonsupervisory employees. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.3 80.4 80.6 81.0 HOURS AND EARNINGS ALL EMPLOYEES Total private Average weekly hours. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 34.2 34.7 34.5 Average hourly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $27.96 $30.03 $29.72 $29.37 Average weekly earnings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . $961.82 $1,027.03 $1,031.28 $1,013.27 Index of aggregate weekly hours (2007=100)3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 93.2 97.4 100.9 Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.1 -15.2 4.5 3.6 Index of aggregate weekly payrolls (2007=100)4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.0 133.8 138.3 141.7 Over-the-month percent change. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 -11.2 3.4 2.5 DIFFUSION INDEX (Over 1-month span)5 Total private (258 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 4.3 63.0 75.2 Manufacturing (76 industries). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 2.6 70.4 77.0 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 2019 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 145,000 businesses and government agencies, representing approximately 697,000 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 jobs. 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 active 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 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 worked or received pay for any part of the reference pay period, including persons on paid leave. Persons are counted in each job they hold. Hours and earnings data are produced for the private sector for all employees and for production and nonsupervisory employees. Production and nonsupervisory employees are defined as production and related employees in manufacturing and mining and logging, construction workers in construction, and non-supervisory employees in private service-providing industries. Industries are classified on the basis of an establishment’s principal activity in accordance with the 2017 version of the North American Industry Classification System. Additional information about the establishment survey can be found at 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. Percentage distributions of unemployment by reason and duration are derived from the sum of the independently seasonally adjusted component series, and will not necessarily match calculations made using the seasonally adjusted total unemployment level. Additional information about seasonal adjustment in the household survey can be found at www.bls.gov/cps/documentation.htm#sa. 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 110,000. 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 -60,000 to +160,000 (50,000 +/- 110,000). These figures do not mean that the sample results are off by these magnitudes, but rather that there is about a 90-percent chance that the true over-themonth change lies within this interval. Since this range includes values of less than zero, we could not say with confidence that nonfarm employment had, in fact, increased that month. If, however, the reported nonfarm employment rise was 250,000, then all of the values within the 90-percent confidence interval would be greater than zero. In this case, it is likely (at least a 90-percent chance) that nonfarm employment had, in fact, risen that month. At an unemployment rate of around 6.0 percent, the 90-percent confidence interval for the monthly change in unemployment as measured by the household survey is about +/- 300,000, and for the monthly change in the unemployment rate it is about +/- 0.2 percentage point. In general, estimates involving many individuals or establishments have lower standard errors (relative to the size of the estimate) than estimates which are based on a small number of observations. The precision of estimates also is improved when the data are cumulated over time, such as for quarterly and annual averages. The household and establishment surveys are also affected by nonsampling error, which can occur for many reasons, including the failure to sample a segment of the population, inability to obtain information for all respondents in the sample, inability or unwillingness of respondents to provide correct information on a timely basis, mistakes made by respondents, and errors made in the collection or processing of the data. For example, in the establishment survey, estimates for the most recent 2 months are based on incomplete returns; for this reason, these estimates are labeled preliminary in the tables. It is only after two successive revisions to a monthly estimate, when nearly all sample reports have been received, that the estimate is considered final. Another major source of nonsampling error in the establishment survey is the inability to capture, on a timely basis, employment generated by new firms. To correct for this systematic underestimation of employment growth, an estimation procedure with two components is used to account for business births. The first component excludes employment losses from business deaths from sample-based estimation in order to offset the missing employment gains from business births. This is incorporated into the samplebased estimation procedure by simply not reflecting sample units going out of business, but imputing to them the same employment trend as the other firms in the sample. This procedure accounts for most of the net birth/death employment. The second component is an ARIMA time series model designed to estimate the residual net birth/death employment not accounted for by the imputation. The historical time series used to create and test the ARIMA model was derived from the unemployment insurance universe micro-level database, and reflects the actual residual net of births and deaths over the past 5 years. The sample-based estimates from the establishment survey are adjusted once a year (on a lagged basis) to universe counts of payroll employment obtained from administrative records of the unemployment insurance program. The difference between the March sample-based employment estimates and the March universe counts is known as a benchmark revision, and serves as a rough proxy for total survey error. The new benchmarks also incorporate changes in the classification of industries. Over the past decade, absolute benchmark revisions for total nonfarm employment have averaged 0.2 percent, with a range from -0.7 percent to 0.3 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 adjusted1 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 TOTAL Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 259,037 260,047 260,204 259,037 259,628 259,758 259,896 260,047 260,204 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,120 157,975 160,883 163,133 164,546 162,913 156,481 158,227 159,932 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 60.7 61.8 63.0 63.4 62.7 60.2 60.8 61.5 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,828 137,461 142,811 157,148 158,759 155,772 133,403 137,242 142,182 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 60.9 52.9 54.9 60.7 61.1 60.0 51.3 52.8 54.6 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,292 20,514 18,072 5,985 5,787 7,140 23,078 20,985 17,750 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.8 13.0 11.2 3.7 3.5 4.4 14.7 13.3 11.1 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,917 102,072 99,321 95,905 95,082 96,845 103,415 101,820 100,273 Persons who currently want a job. . . . . . . . . . . . . . . . . . 5,725 9,422 8,633 5,312 4,962 5,509 9,916 8,962 8,195 Men, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 125,285 125,782 125,860 125,285 125,575 125,639 125,707 125,782 125,860 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,415 83,963 85,429 86,549 87,008 86,123 83,139 83,900 84,596 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 66.8 67.9 69.1 69.3 68.5 66.1 66.7 67.2 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,189 74,004 76,425 83,358 83,871 82,357 71,916 73,702 75,629 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 67.2 58.8 60.7 66.5 66.8 65.6 57.2 58.6 60.1 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,226 9,959 9,004 3,191 3,137 3,765 11,223 10,199 8,967 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.7 11.9 10.5 3.7 3.6 4.4 13.5 12.2 10.6 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,870 41,818 40,431 38,736 38,568 39,516 42,569 41,881 41,264 Men, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 116,843 117,410 117,492 116,843 117,181 117,254 117,330 117,410 117,492 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,837 81,240 82,203 83,568 84,001 83,176 80,461 81,057 81,995 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.8 69.2 70.0 71.5 71.7 70.9 68.6 69.0 69.8 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,173 72,076 74,002 80,780 81,202 79,832 69,977 71,672 73,641 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 69.5 61.4 63.0 69.1 69.3 68.1 59.6 61.0 62.7 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,663 9,164 8,201 2,788 2,799 3,344 10,483 9,385 8,354 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 11.3 10.0 3.3 3.3 4.0 13.0 11.6 10.2 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,006 36,170 35,289 33,275 33,180 34,078 36,870 36,352 35,497 Women, 16 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 133,753 134,265 134,344 133,753 134,053 134,119 134,189 134,265 134,344 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,705 74,011 75,454 76,584 77,538 76,790 73,343 74,327 75,336 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 55.1 56.2 57.3 57.8 57.3 54.7 55.4 56.1 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,639 63,457 66,386 73,790 74,888 73,415 61,487 63,540 66,552 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 55.1 47.3 49.4 55.2 55.9 54.7 45.8 47.3 49.5 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,066 10,554 9,068 2,793 2,651 3,375 11,855 10,787 8,783 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 14.3 12.0 3.6 3.4 4.4 16.2 14.5 11.7 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,048 60,254 58,890 57,169 56,514 57,329 60,847 59,938 59,009 Women, 20 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 125,509 126,072 126,155 125,509 125,841 125,915 125,991 126,072 126,155 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,297 71,316 72,214 73,655 74,501 73,840 70,913 71,558 72,580 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 56.6 57.2 58.7 59.2 58.6 56.3 56.8 57.5 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,714 61,630 63,925 71,209 72,179 70,886 59,947 61,638 64,426 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 56.3 48.9 50.7 56.7 57.4 56.3 47.6 48.9 51.1 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,583 9,686 8,289 2,447 2,323 2,954 10,966 9,920 8,154 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.5 13.6 11.5 3.3 3.1 4.0 15.5 13.9 11.2 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,212 54,755 53,940 51,853 51,340 52,075 55,079 54,514 53,575 Both sexes, 16 to 19 years Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 16,686 16,566 16,557 16,686 16,606 16,590 16,574 16,566 16,557 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,986 5,419 6,466 5,910 6,043 5,897 5,108 5,612 5,356 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 32.7 39.1 35.4 36.4 35.5 30.8 33.9 32.3 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,941 3,755 4,884 5,159 5,378 5,054 3,479 3,932 4,114 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 35.6 22.7 29.5 30.9 32.4 30.5 21.0 23.7 24.8 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,046 1,663 1,582 751 665 843 1,628 1,681 1,242 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 30.7 24.5 12.7 11.0 14.3 31.9 29.9 23.2 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,700 11,147 10,092 10,776 10,562 10,693 11,467 10,953 11,201 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 adjusted1 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 WHITE Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 200,746 201,154 201,233 200,746 200,968 201,023 201,082 201,154 201,233 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127,131 122,552 124,744 126,319 127,146 126,021 121,242 122,661 124,009 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 60.9 62.0 62.9 63.3 62.7 60.3 61.0 61.6 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,708 107,761 112,020 122,199 123,189 121,042 104,065 107,499 111,538 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 61.1 53.6 55.7 60.9 61.3 60.2 51.8 53.4 55.4 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,422 14,792 12,725 4,120 3,957 4,979 17,176 15,162 12,470 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.5 12.1 10.2 3.3 3.1 4.0 14.2 12.4 10.1 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,615 78,602 76,488 74,427 73,821 75,002 79,840 78,493 77,224 Men, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,203 64,294 64,888 65,942 66,153 65,522 63,645 64,125 64,688 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 69.7 70.3 71.7 71.8 71.1 69.1 69.5 70.1 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,343 57,633 59,214 64,015 64,204 63,120 55,776 57,263 58,898 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 70.0 62.5 64.2 69.6 69.7 68.5 60.5 62.1 63.8 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,860 6,661 5,674 1,928 1,950 2,402 7,869 6,862 5,790 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 10.4 8.7 2.9 2.9 3.7 12.4 10.7 9.0 Women, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,430 54,129 54,800 55,758 56,247 55,878 53,634 54,294 55,147 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 55.9 56.6 57.8 58.2 57.8 55.4 56.1 56.9 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,586 47,194 48,957 54,054 54,692 53,878 45,563 47,195 49,440 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 55.5 48.8 50.6 56.0 56.6 55.7 47.1 48.8 51.1 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,844 6,935 5,843 1,704 1,555 2,000 8,071 7,099 5,707 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.3 12.8 10.7 3.1 2.8 3.6 15.0 13.1 10.3 Both sexes, 16 to 19 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,498 4,129 5,056 4,619 4,746 4,621 3,963 4,242 4,174 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 34.0 41.6 37.7 39.0 38.0 32.6 34.9 34.4 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,780 2,934 3,848 4,131 4,294 4,043 2,727 3,041 3,201 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 39.0 24.1 31.7 33.7 35.2 33.2 22.4 25.0 26.4 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718 1,196 1,208 489 452 578 1,236 1,202 973 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 29.0 23.9 10.6 9.5 12.5 31.2 28.3 23.3 BLACK OR AFRICAN AMERICAN Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 33,014 33,294 33,323 33,014 33,211 33,238 33,267 33,294 33,323 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,581 19,815 20,134 20,439 20,946 20,596 19,487 19,858 20,010 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 59.5 60.4 61.9 63.1 62.0 58.6 59.6 60.0 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,319 16,530 17,019 19,216 19,730 19,208 16,240 16,523 16,927 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 58.5 49.6 51.1 58.2 59.4 57.8 48.8 49.6 50.8 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,262 3,285 3,115 1,223 1,216 1,387 3,247 3,334 3,083 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 16.6 15.5 6.0 5.8 6.7 16.7 16.8 15.4 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,432 13,479 13,189 12,575 12,266 12,642 13,780 13,436 13,313 Men, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,378 8,979 9,204 9,302 9,499 9,477 8,880 8,970 9,161 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 64.0 65.5 67.1 68.0 67.7 63.4 63.9 65.2 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,878 7,606 7,752 8,773 8,945 8,812 7,448 7,583 7,670 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 64.0 54.2 55.2 63.3 64.0 63.0 53.2 54.1 54.6 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500 1,373 1,453 528 554 665 1,432 1,388 1,492 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.3 15.3 15.8 5.7 5.8 7.0 16.1 15.5 16.3 Women, 20 years and over Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,359 10,065 10,082 10,404 10,721 10,374 9,995 10,097 10,113 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 59.7 59.8 62.4 63.8 61.7 59.4 59.9 60.0 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,813 8,439 8,661 9,858 10,207 9,830 8,351 8,426 8,693 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 58.8 50.1 51.4 59.1 60.8 58.5 49.6 50.0 51.6 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 546 1,627 1,422 546 514 543 1,644 1,671 1,420 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.3 16.2 14.1 5.2 4.8 5.2 16.4 16.5 14.0 Both sexes, 16 to 19 years Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 844 771 848 733 725 745 612 791 735 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.3 31.8 35.1 29.8 29.8 30.7 25.2 32.7 30.4 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 628 485 607 585 578 566 441 515 564 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 25.5 20.0 25.1 23.7 23.7 23.3 18.2 21.3 23.3 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 285 241 149 148 180 171 276 171 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 37.0 28.4 20.3 20.4 24.1 28.0 34.9 23.2 See footnotes at end of table. HOUSEHOLD DATA Table A-2. Employment status of the civilian population by race, sex, and age — Continued [Numbers in thousands] Employment status, race, sex, and age Not seasonally adjusted Seasonally adjusted1 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 ASIAN Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . 16,557 16,385 16,471 16,557 16,421 16,419 16,363 16,385 16,471 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,600 9,932 10,202 10,528 10,574 10,470 9,938 9,968 10,108 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 60.6 61.9 63.6 64.4 63.8 60.7 60.8 61.4 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,361 8,462 8,786 10,302 10,312 10,037 8,499 8,475 8,717 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . 62.6 51.6 53.3 62.2 62.8 61.1 51.9 51.7 52.9 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 1,470 1,416 225 262 433 1,438 1,493 1,392 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.3 14.8 13.9 2.1 2.5 4.1 14.5 15.0 13.8 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,958 6,453 6,269 6,030 5,848 5,948 6,425 6,417 6,362 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 adjusted1 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 HISPANIC OR LATINO ETHNICITY Civilian noninstitutional population................ 43,453 44,053 44,132 43,453 43,820 43,895 43,975 44,053 44,132 Civilian labor force................................ 28,989 28,173 29,006 28,873 29,852 29,443 27,841 28,218 28,907 Participation rate............................... 66.7 64.0 65.7 66.4 68.1 67.1 63.3 64.1 65.5 Employed....................................... 27,721 23,321 24,794 27,621 28,531 27,672 22,579 23,241 24,711 Employment-population ratio............... 63.8 52.9 56.2 63.6 65.1 63.0 51.3 52.8 56.0 Unemployed.................................... 1,268 4,852 4,212 1,252 1,322 1,771 5,263 4,977 4,195 Unemployment rate......................... 4.4 17.2 14.5 4.3 4.4 6.0 18.9 17.6 14.5 Not in labor force................................. 14,464 15,880 15,126 14,581 13,968 14,452 16,133 15,834 15,225 Men, 20 years and over Civilian labor force................................ 15,677 15,496 15,604 15,663 16,035 15,844 15,337 15,493 15,588 Participation rate............................... 79.9 77.9 78.3 79.9 81.1 80.0 77.2 77.9 78.2 Employed....................................... 15,162 13,217 13,654 15,099 15,519 15,037 12,776 13,154 13,590 Employment-population ratio............... 77.3 66.5 68.5 77.0 78.5 75.9 64.3 66.1 68.2 Unemployed.................................... 515 2,279 1,950 564 516 807 2,561 2,338 1,999 Unemployment rate......................... 3.3 14.7 12.5 3.6 3.2 5.1 16.7 15.1 12.8 Women, 20 years and over Civilian labor force................................ 11,870 11,490 11,969 11,899 12,441 12,245 11,348 11,510 11,999 Participation rate............................... 59.8 57.0 59.3 59.9 62.1 61.0 56.4 57.1 59.4 Employed....................................... 11,365 9,350 10,125 11,396 11,834 11,507 9,060 9,326 10,158 Employment-population ratio............... 57.2 46.4 50.1 57.4 59.1 57.3 45.0 46.3 50.3 Unemployed.................................... 506 2,140 1,844 503 607 738 2,288 2,184 1,841 Unemployment rate......................... 4.3 18.6 15.4 4.2 4.9 6.0 20.2 19.0 15.3 Both sexes, 16 to 19 years Civilian labor force................................ 1,442 1,187 1,434 1,311 1,377 1,354 1,157 1,216 1,319 Participation rate............................... 36.2 29.6 35.7 32.9 34.4 33.8 28.9 30.3 32.9 Employed....................................... 1,195 754 1,016 1,126 1,177 1,128 743 761 964 Employment-population ratio............... 30.0 18.8 25.3 28.2 29.4 28.2 18.6 19.0 24.0 Unemployed.................................... 247 433 418 185 199 225 414 454 355 Unemployment rate......................... 17.1 36.5 29.1 14.1 14.5 16.7 35.8 37.4 26.9 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 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 Less than a high school diploma Civilian labor force.................................. 10,181 8,450 8,537 10,017 9,710 9,251 8,595 8,212 8,342 Participation rate.................................. 46.1 43.1 43.9 45.4 47.8 45.7 42.8 41.9 42.9 Employed.......................................... 9,713 6,887 7,218 9,482 9,160 8,626 6,774 6,577 6,958 Employment-population ratio................. 44.0 35.1 37.1 43.0 45.1 42.6 33.7 33.5 35.7 Unemployed....................................... 467 1,563 1,319 535 550 625 1,821 1,634 1,385 Unemployment rate............................ 4.6 18.5 15.4 5.3 5.7 6.8 21.2 19.9 16.6 High school graduates, no college1 Civilian labor force.................................. 35,906 33,756 33,324 36,167 36,309 35,232 33,252 33,792 33,598 Participation rate.................................. 57.5 55.0 54.8 57.9 58.3 57.4 54.6 55.0 55.3 Employed.......................................... 34,586 28,708 29,355 34,761 34,986 33,687 27,505 28,605 29,519 Employment-population ratio................. 55.4 46.8 48.3 55.7 56.2 54.9 45.1 46.6 48.6 Unemployed....................................... 1,319 5,048 3,969 1,407 1,323 1,545 5,747 5,187 4,079 Unemployment rate............................ 3.7 15.0 11.9 3.9 3.6 4.4 17.3 15.3 12.1 Some college or associate degree Civilian labor force.................................. 37,216 36,278 36,615 37,234 37,325 37,381 35,860 36,381 36,661 Participation rate.................................. 64.7 63.1 63.8 64.7 64.8 64.7 62.5 63.3 63.8 Employed.......................................... 36,109 31,581 32,643 36,103 36,209 36,013 30,485 31,559 32,662 Employment-population ratio................. 62.8 54.9 56.9 62.8 62.9 62.3 53.1 54.9 56.9 Unemployed....................................... 1,107 4,697 3,972 1,131 1,116 1,368 5,376 4,821 3,999 Unemployment rate............................ 3.0 12.9 10.8 3.0 3.0 3.7 15.0 13.3 10.9 Bachelor’s degree and higher2 Civilian labor force.................................. 58,066 60,269 61,339 58,543 59,894 60,487 60,127 60,442 61,861 Participation rate.................................. 73.3 71.7 72.1 73.9 73.1 73.0 71.6 71.9 72.7 Employed.......................................... 56,780 55,933 57,043 57,308 58,736 59,000 55,084 55,992 57,614 Employment-population ratio................. 71.7 66.6 67.1 72.3 71.7 71.2 65.6 66.6 67.7 Unemployed....................................... 1,286 4,336 4,296 1,235 1,158 1,487 5,043 4,450 4,247 Unemployment rate............................ 2.2 7.2 7.0 2.1 1.9 2.5 8.4 7.4 6.9 1 Includes persons with a high school diploma or equivalent. 2 Includes persons with bachelor’s, master’s, professional, and doctoral degrees. NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to totals for those 25 years and over 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-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 June 2019 June 2020 June 2019 June 2020 June 2019 June 2020 VETERANS, 18 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,837 18,485 16,954 16,582 1,883 1,903 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,265 9,009 8,206 7,962 1,059 1,047 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.2 48.7 48.4 48.0 56.2 55.0 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,967 8,233 7,956 7,286 1,011 947 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.6 44.5 46.9 43.9 53.7 49.7 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298 776 250 675 48 101 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 8.6 3.0 8.5 4.6 9.6 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,572 9,476 8,748 8,620 824 856 Gulf War-era II veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,363 4,634 3,642 3,886 721 748 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,484 3,665 2,994 3,175 490 490 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.9 79.1 82.2 81.7 68.0 65.5 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,350 3,288 2,877 2,865 473 423 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 70.9 79.0 73.7 65.6 56.6 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 378 117 311 17 67 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.9 10.3 3.9 9.8 3.6 13.7 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 879 969 649 711 231 258 Gulf War-era I veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,029 2,922 2,523 2,408 506 514 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,277 2,117 1,951 1,796 326 322 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.2 72.5 77.3 74.6 64.4 62.6 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,219 1,990 1,902 1,689 317 301 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 68.1 75.4 70.1 62.7 58.6 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 127 49 107 9 21 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 6.0 2.5 6.0 2.7 6.4 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 804 572 612 180 192 World War II, Korean War, and Vietnam-era veterans Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,229 6,842 6,980 6,603 249 239 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,517 1,278 1,479 1,240 39 38 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.0 18.7 21.2 18.8 15.6 15.8 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,471 1,171 1,439 1,139 32 32 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.3 17.1 20.6 17.3 13.0 13.5 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 107 40 101 6 5 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1 8.3 2.7 8.2 – – Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,712 5,564 5,501 5,363 210 201 Veterans of other service periods Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,216 4,087 3,809 3,685 407 402 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,987 1,948 1,783 1,750 204 198 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.7 46.8 47.5 50.1 49.1 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,927 1,784 1,738 1,594 188 190 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 43.6 45.6 43.2 46.3 47.3 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 164 45 157 15 7 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.0 8.4 2.5 9.0 7.6 3.7 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,229 2,139 2,026 1,935 203 204 NONVETERANS, 18 years and over Civilian noninstitutional population. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,728 233,074 104,093 104,923 127,635 128,152 Civilian labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152,361 149,478 77,902 76,323 74,459 73,155 Participation rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 64.1 74.8 72.7 58.3 57.1 Employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146,826 132,834 75,151 68,261 71,675 64,573 Employment-population ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 57.0 72.2 65.1 56.2 50.4 Unemployed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,535 16,644 2,751 8,062 2,784 8,582 Unemployment rate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.6 11.1 3.5 10.6 3.7 11.7 Not in labor force. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,367 83,596 26,191 28,600 53,176 54,997 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). Updated population controls introduced with the release of January 2020 data. 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 June 2019 June 2020 June 2019 June 2020 TOTAL, 16 years and over Civilian noninstitutional population...................................................... 30,961 29,652 228,077 230,552 Civilian labor force..................................................................... 6,456 6,228 157,664 154,656 Participation rate..................................................................... 20.9 21.0 69.1 67.1 Employed............................................................................. 5,957 5,201 151,871 137,610 Employment-population ratio.................................................... 19.2 17.5 66.6 59.7 Unemployed.......................................................................... 499 1,026 5,793 17,046 Unemployment rate............................................................... 7.7 16.5 3.7 11.0 Not in labor force....................................................................... 24,505 23,424 70,413 75,897 Men, 16 to 64 years Civilian labor force..................................................................... 2,720 2,687 78,896 76,948 Participation rate..................................................................... 36.4 36.4 83.8 81.9 Employed............................................................................. 2,472 2,244 76,086 68,941 Employment-population ratio.................................................... 33.0 30.4 80.8 73.3 Unemployed.......................................................................... 248 443 2,810 8,008 Unemployment rate............................................................... 9.1 16.5 3.6 10.4 Not in labor force....................................................................... 4,760 4,686 15,244 17,055 Women, 16 to 64 years Civilian labor force..................................................................... 2,502 2,339 69,646 68,619 Participation rate..................................................................... 31.6 32.3 72.0 70.6 Employed............................................................................. 2,305 1,908 66,942 60,541 Employment-population ratio.................................................... 29.1 26.4 69.2 62.3 Unemployed.......................................................................... 197 431 2,704 8,078 Unemployment rate............................................................... 7.9 18.4 3.9 11.8 Not in labor force....................................................................... 5,427 4,901 27,086 28,508 Both sexes, 65 years and over Civilian labor force..................................................................... 1,234 1,201 9,122 9,088 Participation rate..................................................................... 7.9 8.0 24.5 23.1 Employed............................................................................. 1,180 1,050 8,843 8,128 Employment-population ratio.................................................... 7.6 7.0 23.8 20.6 Unemployed.......................................................................... 54 151 279 960 Unemployment rate............................................................... 4.4 12.6 3.1 10.6 Not in labor force....................................................................... 14,318 13,837 28,082 30,334 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 June 2019 June 2020 June 2019 June 2020 June 2019 June 2020 Foreign born, 16 years and over Civilian noninstitutional population................................... 43,216 42,198 20,842 20,107 22,374 22,090 Civilian labor force.................................................. 28,421 26,823 16,214 15,193 12,207 11,630 Participation rate.................................................. 65.8 63.6 77.8 75.6 54.6 52.6 Employed.......................................................... 27,643 23,130 15,870 13,312 11,773 9,818 Employment-population ratio................................. 64.0 54.8 76.1 66.2 52.6 44.4 Unemployed....................................................... 778 3,693 344 1,881 433 1,812 Unemployment rate............................................ 2.7 13.8 2.1 12.4 3.6 15.6 Not in labor force.................................................... 14,796 15,374 4,628 4,914 10,167 10,460 Native born, 16 years and over Civilian noninstitutional population................................... 215,821 218,007 104,442 105,753 111,379 112,254 Civilian labor force.................................................. 135,699 134,060 71,201 70,236 64,498 63,824 Participation rate.................................................. 62.9 61.5 68.2 66.4 57.9 56.9 Employed.......................................................... 130,185 119,681 68,320 63,113 61,865 56,567 Employment-population ratio................................. 60.3 54.9 65.4 59.7 55.5 50.4 Unemployed....................................................... 5,514 14,379 2,881 7,123 2,633 7,257 Unemployment rate............................................ 4.1 10.7 4.0 10.1 4.1 11.4 Not in labor force.................................................... 80,122 83,947 33,241 35,517 46,881 48,430 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 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 CLASS OF WORKER Agriculture and related industries................. 2,422 2,365 2,353 2,330 2,466 2,399 2,424 2,341 2,298 Wage and salary workers1 ...................... 1,551 1,568 1,547 1,492 1,829 1,715 1,695 1,568 1,530 Self-employed workers, unincorporated. . . . . .. 821 764 769 774 645 660 701 738 716 Unpaid family workers........................... 51 33 37 – – – – – – Nonagricultural industries.......................... 155,406 135,096 140,458 154,835 156,283 153,359 131,052 134,965 139,943 Wage and salary workers1 ...................... 146,537 127,045 131,946 146,003 147,347 144,494 123,401 126,942 131,444 Government..................................... 20,588 19,879 20,466 20,979 20,943 21,081 19,156 19,692 20,889 Private industries............................... 125,949 107,166 111,480 124,990 126,282 123,412 104,200 107,228 110,579 Private households.......................... 849 498 564 – – – – – – Other industries.............................. 125,101 106,667 110,916 124,210 125,487 122,693 103,713 106,723 110,039 Self-employed workers, unincorporated. . . . . .. 8,850 8,010 8,449 8,782 8,897 8,818 7,544 7,945 8,376 Unpaid family workers........................... 19 41 64 – – – – – – PERSONS AT WORK PART TIME2 All industries Part time for economic reasons3 .................. 4,602 10,429 9,306 4,350 4,318 5,765 10,887 10,633 9,062 Slack work or business conditions............. 2,837 9,369 8,043 2,704 2,776 4,043 9,939 9,543 7,939 Could only find part-time work.................. 1,360 892 978 1,338 1,317 1,321 697 843 942 Part time for noneconomic reasons4 .............. 20,555 14,669 16,210 21,538 22,175 20,601 12,355 14,394 17,137 Nonagricultural industries Part time for economic reasons3 .................. 4,529 10,286 9,210 4,266 4,225 5,681 10,730 10,485 8,961 Slack work or business conditions............. 2,787 9,237 7,966 2,651 2,719 3,965 9,780 9,408 7,860 Could only find part-time work.................. 1,347 888 974 1,327 1,313 1,312 695 836 941 Part time for noneconomic reasons4 .............. 20,213 14,289 15,868 21,194 21,770 20,236 11,971 14,009 16,793 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 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 AGE AND SEX Total, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,828 137,461 142,811 157,148 158,759 155,772 133,403 137,242 142,182 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,941 3,755 4,884 5,159 5,378 5,054 3,479 3,932 4,114 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,035 1,284 1,744 1,764 1,972 1,800 1,302 1,420 1,501 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,906 2,471 3,139 3,388 3,401 3,269 2,154 2,495 2,649 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,888 133,706 137,927 151,989 153,381 150,719 129,924 133,310 138,068 20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,699 10,596 11,669 14,279 14,278 13,428 10,023 10,608 11,249 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,189 123,109 126,259 137,662 139,188 137,392 119,906 122,691 126,771 25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,449 90,147 92,407 100,724 101,426 100,313 87,769 89,943 92,702 25 to 34 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,699 31,356 32,009 35,725 36,123 35,501 30,453 31,299 32,028 35 to 44 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,933 30,163 30,909 33,005 33,402 33,168 29,607 30,088 30,991 45 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,816 28,628 29,489 31,994 31,901 31,644 27,709 28,555 29,683 55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,740 32,963 33,851 36,938 37,762 37,079 32,137 32,748 34,069 Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,189 74,004 76,425 83,358 83,871 82,357 71,916 73,702 75,629 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,016 1,928 2,423 2,578 2,669 2,525 1,939 2,030 1,988 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,082 609 878 896 891 817 632 659 714 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,934 1,319 1,545 1,679 1,784 1,715 1,277 1,355 1,302 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,173 72,076 74,002 80,780 81,202 79,832 69,977 71,672 73,641 20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,533 5,475 5,997 7,266 7,272 6,818 5,222 5,445 5,726 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,641 66,601 68,005 73,469 73,982 73,159 64,758 66,271 67,865 25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,776 48,647 49,575 53,643 53,770 53,374 47,236 48,488 49,471 25 to 34 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,123 16,869 17,079 19,022 19,175 19,002 16,396 16,822 16,987 35 to 44 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,867 16,408 16,644 17,796 17,874 17,790 16,049 16,335 16,582 45 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,786 15,370 15,852 16,826 16,720 16,582 14,792 15,330 15,903 55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,865 17,954 18,430 19,825 20,213 19,785 17,522 17,783 18,394 Women, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,639 63,457 66,386 73,790 74,888 73,415 61,487 63,540 66,552 16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,924 1,827 2,461 2,581 2,709 2,529 1,541 1,902 2,126 16 to 17 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953 675 866 868 1,081 983 670 761 788 18 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,972 1,152 1,595 1,709 1,616 1,554 877 1,140 1,347 20 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,714 61,630 63,925 71,209 72,179 70,886 59,947 61,638 64,426 20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,166 5,122 5,671 7,013 7,006 6,610 4,801 5,163 5,523 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,548 56,508 58,254 64,194 65,206 64,232 55,147 56,420 58,906 25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,673 41,499 42,832 47,081 47,657 46,939 40,533 41,455 43,231 25 to 34 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,576 14,487 14,930 16,703 16,949 16,499 14,058 14,478 15,041 35 to 44 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,067 13,755 14,265 15,209 15,528 15,378 13,558 13,753 14,409 45 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,030 13,257 13,637 15,168 15,180 15,062 12,917 13,225 13,781 55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,875 15,009 15,421 17,113 17,549 17,293 14,615 14,964 15,675 MARITAL STATUS Married men, spouse present1 . . . . . . . . . . . . . . . . . . . . . . . . . . 45,749 43,039 43,717 45,712 46,067 45,920 41,683 42,822 43,702 Married women, spouse present1 . . . . . . . . . . . . . . . . . . . . . . . 35,574 33,079 33,903 36,084 36,597 36,353 31,860 32,978 34,440 Women who maintain families2 . . . . . . . . . . . . . . . . . . . . . . . . . 9,695 7,768 8,218 – – – – – – FULL- OR PART-TIME STATUS Full-time workers3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,542 116,620 120,169 130,254 131,109 129,298 114,322 116,523 118,941 Part-time workers4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26,287 20,841 22,642 26,834 27,726 26,553 19,106 20,741 23,179 MULTIPLE JOBHOLDERS Total multiple jobholders. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,987 5,509 6,114 8,174 8,070 7,268 5,451 5,598 6,279 Percent of total employed. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 4.0 4.3 5.2 5.1 4.7 4.1 4.1 4.4 SELF-EMPLOYMENT Self-employed workers, incorporated. . . . . . . . . . . . . . . . . . . 6,195 6,249 6,208 – – – – – – Self-employed workers, unincorporated. . . . . . . . . . . . . . . . . 9,671 8,773 9,218 9,556 9,542 9,478 8,245 8,682 9,092 1 Beginning with data for January 2020, refers to persons in both opposite-sex and same-sex married couples. Prior to January 2020, referred to persons in opposite-sex married couples only. 2 Beginning with data for January 2020, refers to female householders residing with one or more family members, but not a spouse of either sex. Prior to January 2020, referred 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 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 AGE AND SEX Total, 16 years and over........................... 5,985 20,985 17,750 3.7 3.5 4.4 14.7 13.3 11.1 16 to 19 years..................................... 751 1,681 1,242 12.7 11.0 14.3 31.9 29.9 23.2 16 to 17 years.................................. 302 613 470 14.6 9.8 16.4 27.6 30.1 23.8 18 to 19 years.................................. 442 1,058 771 11.6 12.0 12.8 34.3 29.8 22.5 20 years and over................................ 5,234 19,305 16,508 3.3 3.2 4.0 14.2 12.6 10.7 20 to 24 years.................................. 956 3,207 2,770 6.3 6.4 8.7 25.7 23.2 19.8 25 years and over.............................. 4,262 16,107 13,691 3.0 2.9 3.5 13.1 11.6 9.7 25 to 54 years............................... 3,150 11,708 10,072 3.0 3.0 3.6 12.8 11.5 9.8 25 to 34 years............................. 1,328 4,857 4,261 3.6 3.7 4.1 14.5 13.4 11.7 35 to 44 years............................. 948 3,414 3,108 2.8 2.8 3.4 11.5 10.2 9.1 45 to 54 years............................. 875 3,436 2,703 2.7 2.5 3.2 12.3 10.7 8.3 55 years and over........................... 1,141 4,398 3,651 3.0 2.6 3.3 13.6 11.8 9.7 Men, 16 years and over............................ 3,191 10,199 8,967 3.7 3.6 4.4 13.5 12.2 10.6 16 to 19 years..................................... 404 814 613 13.5 11.2 14.3 27.6 28.6 23.6 16 to 17 years.................................. 146 254 167 14.0 10.8 14.8 21.0 27.8 19.0 18 to 19 years.................................. 249 555 448 12.9 12.0 13.4 30.8 29.1 25.6 20 years and over................................ 2,788 9,385 8,354 3.3 3.3 4.0 13.0 11.6 10.2 20 to 24 years.................................. 583 1,576 1,339 7.4 6.7 9.1 23.5 22.4 19.0 25 years and over.............................. 2,191 7,814 6,990 2.9 3.0 3.5 12.1 10.5 9.3 25 to 54 years............................... 1,643 5,773 5,199 3.0 3.1 3.5 12.1 10.6 9.5 25 to 34 years............................. 723 2,512 2,282 3.7 3.9 4.2 14.2 13.0 11.8 35 to 44 years............................. 442 1,709 1,621 2.4 2.8 3.2 10.4 9.5 8.9 45 to 54 years............................. 478 1,552 1,296 2.8 2.5 3.1 11.4 9.2 7.5 55 years and over........................... 548 2,040 1,791 2.7 2.7 3.4 12.1 10.3 8.9 Women, 16 years and over........................ 2,793 10,787 8,783 3.6 3.4 4.4 16.2 14.5 11.7 16 to 19 years..................................... 347 867 629 11.8 10.8 14.3 36.6 31.3 22.8 16 to 17 years.................................. 155 358 303 15.2 8.9 17.8 32.9 32.0 27.8 18 to 19 years.................................. 193 503 323 10.2 12.0 12.1 38.9 30.6 19.4 20 years and over................................ 2,447 9,920 8,154 3.3 3.1 4.0 15.5 13.9 11.2 20 to 24 years.................................. 372 1,631 1,431 5.0 6.1 8.3 28.0 24.0 20.6 25 years and over.............................. 2,072 8,293 6,701 3.1 2.8 3.5 14.2 12.8 10.2 25 to 54 years............................... 1,508 5,934 4,873 3.1 2.9 3.6 13.7 12.5 10.1 25 to 34 years............................. 604 2,346 1,980 3.5 3.4 4.0 14.9 13.9 11.6 35 to 44 years............................. 506 1,705 1,487 3.2 2.8 3.6 12.7 11.0 9.4 45 to 54 years............................. 397 1,884 1,406 2.6 2.6 3.3 13.3 12.5 9.3 55 years and over........................... 576 2,358 1,842 3.3 2.4 3.3 15.5 13.6 10.5 MARITAL STATUS Married men, spouse present1 .................... 844 3,858 3,259 1.8 2.0 2.3 9.7 8.3 6.9 Married women, spouse present1 ................. 860 4,292 3,367 2.3 2.2 3.0 13.1 11.5 8.9 Women who maintain families2 .................... 521 1,461 1,242 5.1 4.1 5.3 15.9 15.8 13.1 FULL- OR PART-TIME STATUS Full-time workers3 ................................... 4,755 15,897 13,755 3.5 3.5 4.1 12.9 12.0 10.4 Part-time workers4 .................................. 1,222 5,090 4,007 4.4 3.7 6.1 24.5 19.7 14.7 1 Beginning with data for January 2020, refers to persons in both opposite-sex and same-sex married couples. Prior to January 2020, referred to persons in opposite-sex married couples only. 2 Data are not seasonally adjusted. Beginning with data for January 2020, refers to female householders residing with one or more family members, but not a spouse of either sex. Prior to January 2020, referred 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 June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 NUMBER OF UNEMPLOYED Job losers and persons who completed temporary jobs.................................... 2,703 17,834 14,198 2,744 2,723 3,946 20,626 18,291 14,272 On temporary layoff.............................. 841 15,034 10,596 805 801 1,848 18,063 15,343 10,565 Not on temporary layoff.......................... 1,862 2,801 3,602 1,939 1,922 2,099 2,563 2,948 3,707 Permanent job losers.......................... 1,315 2,206 2,825 1,355 1,279 1,456 2,000 2,295 2,883 Persons who completed temporary jobs. . .. 547 595 776 585 644 643 563 653 824 Job leavers........................................... 871 513 545 889 777 727 570 554 565 Reentrants............................................ 1,963 1,674 2,495 1,850 1,803 1,778 1,477 1,645 2,356 New entrants......................................... 754 492 834 537 505 509 389 536 563 PERCENT DISTRIBUTION Job losers and persons who completed temporary jobs.................................... 43.0 86.9 78.6 45.6 46.9 56.7 89.4 87.0 80.4 On temporary layoff.............................. 13.4 73.3 58.6 13.4 13.8 26.5 78.3 73.0 59.5 Not on temporary layoff.......................... 29.6 13.7 19.9 32.2 33.1 30.2 11.1 14.0 20.9 Job leavers........................................... 13.8 2.5 3.0 14.8 13.4 10.5 2.5 2.6 3.2 Reentrants............................................ 31.2 8.2 13.8 30.7 31.0 25.5 6.4 7.8 13.3 New entrants......................................... 12.0 2.4 4.6 8.9 8.7 7.3 1.7 2.5 3.2 UNEMPLOYED AS A PERCENT OF THE CIVILIAN LABOR FORCE Job losers and persons who completed temporary jobs.................................... 1.6 11.3 8.8 1.7 1.7 2.4 13.2 11.6 8.9 Job leavers........................................... 0.5 0.3 0.3 0.5 0.5 0.4 0.4 0.4 0.4 Reentrants............................................ 1.2 1.1 1.6 1.1 1.1 1.1 0.9 1.0 1.5 New entrants......................................... 0.5 0.3 0.5 0.3 0.3 0.3 0.2 0.3 0.4 NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to total unemployed in table A-1 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-12. Unemployed persons by duration of unemployment [Numbers in thousands] Duration Not seasonally adjusted Seasonally adjusted June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 NUMBER OF UNEMPLOYED Less than 5 weeks.................................. 2,615 3,835 3,620 1,949 2,013 3,542 14,283 3,875 2,838 5 to 14 weeks........................................ 1,635 14,401 11,300 1,832 1,803 1,794 7,004 14,814 11,496 15 weeks and over.................................. 2,042 2,278 3,152 2,189 1,927 1,971 1,772 2,242 3,294 15 to 26 weeks.................................... 737 1,146 1,867 776 825 808 833 1,078 1,903 27 weeks and over............................... 1,304 1,132 1,285 1,413 1,102 1,164 939 1,164 1,391 Average (mean) duration, in weeks............... 20.2 10.9 13.4 22.1 20.9 17.1 6.1 9.9 15.7 Median duration, in weeks......................... 7.3 8.0 11.1 9.4 9.1 7.0 2.0 7.7 13.6 PERCENT DISTRIBUTION Less than 5 weeks.................................. 41.6 18.7 20.0 32.6 35.1 48.5 61.9 18.5 16.1 5 to 14 weeks........................................ 26.0 70.2 62.5 30.7 31.4 24.5 30.4 70.8 65.2 15 weeks and over.................................. 32.5 11.1 17.4 36.7 33.6 27.0 7.7 10.7 18.7 15 to 26 weeks.................................... 11.7 5.6 10.3 13.0 14.4 11.1 3.6 5.2 10.8 27 weeks and over............................... 20.7 5.5 7.1 23.7 19.2 15.9 4.1 5.6 7.9 NOTE: Detail for the seasonally adjusted data shown in this table will not necessarily add to total unemployed in table A-1 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-13. Employed and unemployed persons by occupation, not seasonally adjusted [Numbers in thousands] Occupation Employed Unemployed Unemployment rates June 2019 June 2020 June 2019 June 2020 June 2019 June 2020 Total, 16 years and over1 ............................................. 157,828 142,811 6,292 18,072 3.8 11.2 Management, professional, and related occupations........... 63,418 63,290 1,540 4,390 2.4 6.5 Management, business, and financial operations occupations..................................................... 26,844 26,915 519 1,367 1.9 4.8 Professional and related occupations.......................... 36,574 36,375 1,020 3,022 2.7 7.7 Service occupations................................................ 27,991 21,166 1,230 4,887 4.2 18.8 Sales and office occupations...................................... 33,011 28,491 1,295 3,819 3.8 11.8 Sales and related occupations.................................. 15,391 13,464 534 2,059 3.4 13.3 Office and administrative support occupations............... 17,620 15,027 761 1,759 4.1 10.5 Natural resources, construction, and maintenance occupations........................................................ 14,407 12,779 606 1,513 4.0 10.6 Farming, fishing, and forestry occupations.................... 1,117 948 90 76 7.5 7.4 Construction and extraction occupations...................... 8,352 7,371 364 961 4.2 11.5 Installation, maintenance, and repair occupations........... 4,938 4,460 152 475 3.0 9.6 Production, transportation, and material moving occupations........................................................ 19,002 17,085 837 2,593 4.2 13.2 Production occupations.......................................... 8,785 7,198 309 889 3.4 11.0 Transportation and material moving occupations............ 10,216 9,887 528 1,704 4.9 14.7 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. Effective with January 2020 data, occupations reflect the introduction of the 2018 Census occupational classification system into the Current Population Survey, or household survey. This classification system is derived from the 2018 Standard Occupational Classification (SOC). No historical data have been revised. Data for 2020 are not strictly comparable with earlier years. 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 June 2019 June 2020 June 2019 June 2020 Total, 16 years and over1 ................................................................ 6,292 18,072 3.8 11.2 Nonagricultural private wage and salary workers.................................. 4,506 14,719 3.5 11.7 Mining, quarrying, and oil and gas extraction.................................... 24 145 3.2 17.8 Construction.......................................................................... 390 962 4.0 10.1 Manufacturing........................................................................ 450 1,383 2.8 9.1 Durable goods..................................................................... 285 872 2.8 9.2 Nondurable goods................................................................ 165 511 2.8 8.9 Wholesale and retail trade......................................................... 761 2,135 3.9 11.2 Transportation and utilities......................................................... 272 923 3.7 12.9 Information............................................................................ 70 304 2.7 12.0 Financial activities................................................................... 200 515 2.0 5.1 Professional and business services............................................... 650 1,527 3.6 8.6 Education and health services..................................................... 750 2,107 3.0 8.6 Leisure and hospitality.............................................................. 739 3,792 4.9 28.9 Other services........................................................................ 200 927 3.0 14.5 Agriculture and related private wage and salary workers......................... 96 87 5.9 5.4 Government workers................................................................... 707 1,608 3.3 7.3 Self-employed workers, unincorporated, and unpaid family workers............ 229 823 2.3 8.1 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. Effective with January 2020 data, industries reflect the introduction of the 2017 Census industry classification system into the Current Population Survey. This industry classification system is derived from the 2017 North American Industry Classification System (NAICS). No historical data have been revised. HOUSEHOLD DATA Table A-15. Alternative measures of labor underutilization [Percent] Measure Not seasonally adjusted Seasonally adjusted June 2019 May 2020 June 2020 June 2019 Feb. 2020 Mar. 2020 Apr. 2020 May 2020 June 2020 U-1 Persons unemployed 15 weeks or longer, as a percent of the civilian labor force......... 1.2 1.4 2.0 1.3 1.2 1.2 1.1 1.4 2.1 U-2 Job losers and persons who completed temporary jobs, as a percent of the civilian labor force......................................... 1.6 11.3 8.8 1.7 1.7 2.4 13.2 11.6 8.9 U-3 Total unemployed, as a percent of the civilian labor force (official unemployment rate)................................................ 3.8 13.0 11.2 3.7 3.5 4.4 14.7 13.3 11.1 U-4 Total unemployed plus discouraged workers, as a percent of the civilian labor force plus discouraged workers................. 4.1 13.3 11.6 3.9 3.8 4.7 15.1 13.6 11.5 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. . . . . . . .. 4.7 14.2 12.6 4.6 4.4 5.2 16.0 14.6 12.5 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..................................... 7.5 20.7 18.3 7.2 7.0 8.7 22.8 21.2 18.0 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 June 2019 June 2020 June 2019 June 2020 June 2019 June 2020 NOT IN THE LABOR FORCE Total not in the labor force........................................... 94,917 99,321 37,870 40,431 57,048 58,890 Persons who currently want a job................................ 5,725 8,633 2,725 4,301 3,000 4,332 Marginally attached to the labor force1 ........................ 1,571 2,486 811 1,380 759 1,106 Discouraged workers2 ......................................... 425 684 295 395 130 289 Other persons marginally attached to the labor force3 . .. 1,146 1,803 516 985 629 818 MULTIPLE JOBHOLDERS Total multiple jobholders4 ............................................. 7,987 6,114 3,893 2,986 4,094 3,128 Percent of total employed.......................................... 5.1 4.3 4.6 3.9 5.6 4.7 Primary job full time, secondary job part time................... 4,340 3,428 2,340 1,835 2,000 1,594 Primary and secondary jobs both part time..................... 2,052 1,503 684 479 1,368 1,023 Primary and secondary jobs both full time....................... 330 320 213 211 118 108 Hours vary on primary or secondary job......................... 1,186 817 623 434 563 383 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 June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Change from: May2020 - June2020p Total nonfarm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,739 130,317 133,410 138,513 150,759 130,303 133,002 137,802 4,800 Total private. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,278 108,159 111,866 117,360 128,206 108,527 111,759 116,526 4,767 Goods-producing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,367 18,540 19,413 20,156 21,076 18,698 19,382 19,886 504 Mining and logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 746 643 632 628 741 653 634 624 -10 Logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 47.6 50.0 51.6 49.8 50.5 51.2 51.4 0.2 Mining. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 696.0 595.6 581.6 576.5 691.1 602.9 582.3 572.5 -9.8 Oil and gas extraction. . . . . . . . . . . . . . . . . . . . . . . 151.0 153.1 152.7 153.0 149.6 155.4 153.1 151.9 -1.2 Mining, except oil and gas. . . . . . . . . . . . . . . . . . . 196.7 175.4 180.3 181.2 192.1 177.1 179.0 177.7 -1.3 Coal mining. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 41.6 43.8 43.8 51.9 41.9 44.4 43.8 -0.6 Metal ore mining. . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 40.8 40.5 41.4 42.5 40.9 40.5 40.9 0.4 Nonmetallic mineral mining and quarrying. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.6 93.0 96.0 96.0 97.7 94.4 94.1 93.0 -1.1 Support activities for mining. . . . . . . . . . . . . . . . . 348.3 267.1 248.6 242.3 349.4 270.4 250.2 242.9 -7.3 Construction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,699 6,465 7,073 7,359 7,497 6,556 7,009 7,167 158 Construction of buildings. . . . . . . . . . . . . . . . . . . . . . . 1,685.6 1,434.4 1,554.3 1,617.8 1,656.3 1,456.7 1,556.4 1,588.6 32.2 Residential building. . . . . . . . . . . . . . . . . . . . . . . . . . 831.9 702.0 775.7 811.3 816.6 712.8 776.3 795.4 19.1 Nonresidential building. . . . . . . . . . . . . . . . . . . . . . 853.7 732.4 778.6 806.5 839.7 743.9 780.1 793.2 13.1 Heavy and civil engineering construction. . . . . . 1,129.8 976.8 1,052.4 1,067.7 1,074.0 992.9 1,023.6 1,013.9 -9.7 Specialty trade contractors. . . . . . . . . . . . . . . . . . . . 4,883.1 4,054.0 4,466.5 4,673.3 4,766.9 4,106.6 4,429.3 4,564.7 135.4 Residential specialty trade contractors. . . . . . 2,142.1 1,772.4 1,979.3 2,075.0 2,083.9 1,796.4 1,957.1 2,021.2 64.1 Nonresidential specialty trade contractors. . . 2,741.0 2,281.6 2,487.2 2,598.3 2,683.0 2,310.2 2,472.2 2,543.5 71.3 Manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,922 11,432 11,708 12,169 12,838 11,489 11,739 12,095 356 Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,117 7,109 7,269 7,616 8,064 7,126 7,279 7,569 290 Wood products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.7 374.1 385.1 393.2 407.7 375.4 385.4 390.6 5.2 Nonmetallic mineral products. . . . . . . . . . . . . . . . 427.3 375.8 395.3 406.3 420.6 375.6 392.3 399.5 7.2 Primary metals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.8 341.7 332.9 340.8 386.9 342.9 333.5 338.9 5.4 Fabricated metal products. . . . . . . . . . . . . . . . . . . 1,502.6 1,360.9 1,387.9 1,409.9 1,492.7 1,362.8 1,389.4 1,400.5 11.1 Machinery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,137.3 1,016.8 1,036.7 1,062.3 1,129.7 1,019.2 1,037.7 1,055.2 17.5 Computer and electronic products. . . . . . . . . . . 1,083.4 1,083.9 1,079.8 1,094.6 1,078.8 1,087.4 1,083.9 1,091.2 7.3 Computer and peripheral equipment. . . . . . 162.1 169.8 169.3 171.8 162.2 170.4 169.9 171.9 2.0 Communications equipment. . . . . . . . . . . . . . . 83.5 83.1 81.2 82.5 82.9 83.1 81.4 82.3 0.9 Semiconductors and electronic components. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.3 373.4 370.6 375.6 377.0 374.9 372.6 373.8 1.2 Electronic instruments. . . . . . . . . . . . . . . . . . . . . 425.1 425.2 425.7 430.9 423.6 425.9 426.9 429.8 2.9 Miscellaneous computer and electronic products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 32.4 33.0 33.8 33.2 33.0 33.1 33.4 0.3 Electrical equipment and appliances. . . . . . . . 405.3 383.1 375.6 382.3 404.8 384.7 377.3 382.3 5.0 Transportation equipment1 . . . . . . . . . . . . . . . . . . 1,748.7 1,339.6 1,387.2 1,594.3 1,737.5 1,341.8 1,390.3 1,583.4 193.1 Motor vehicles and parts2 . . . . . . . . . . . . . . . . . 1,009.3 640.0 681.3 885.5 1,002.1 638.7 682.0 877.8 195.8 Furniture and related products. . . . . . . . . . . . . . 389.7 309.7 335.7 350.4 387.0 310.5 336.0 348.4 12.4 Miscellaneous durable goods manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 622.8 523.8 552.6 582.3 618.5 525.2 553.2 578.7 25.5 Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,805 4,323 4,439 4,553 4,774 4,363 4,460 4,526 66 Food manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . 1,646.9 1,528.8 1,558.3 1,596.8 1,635.8 1,557.5 1,580.7 1,588.3 7.6 Textile mills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.2 85.5 88.7 91.5 109.0 85.7 88.3 91.3 3.0 Textile product mills. . . . . . . . . . . . . . . . . . . . . . . . . 113.2 85.2 100.0 103.4 113.5 85.8 100.0 103.8 3.8 Apparel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 67.6 78.0 87.2 111.8 67.6 77.8 86.4 8.6 Paper and paper products. . . . . . . . . . . . . . . . . . . 366.4 354.8 353.3 355.5 364.8 354.6 352.7 354.2 1.5 Printing and related support activities. . . . . . . 426.7 335.4 356.9 360.7 425.7 337.1 357.4 360.0 2.6 Petroleum and coal products. . . . . . . . . . . . . . . . 117.8 104.7 105.7 106.2 114.6 105.7 104.5 103.0 -1.5 Chemicals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 852.3 827.8 829.0 836.2 848.9 830.0 830.4 832.9 2.5 Plastics and rubber products. . . . . . . . . . . . . . . . 741.9 672.8 697.3 723.2 736.7 673.1 696.4 718.2 21.8 Miscellaneous nondurable goods manufacturing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.9 260.5 271.5 292.3 312.9 266.0 271.4 287.5 16.1 Private service-providing. . . . . . . . . . . . . . . . . . . . . . . . . . . 107,911 89,619 92,453 97,204 107,130 89,829 92,377 96,640 4,263 Trade, transportation, and utilities. . . . . . . . . . . . . . . . 27,698 24,253 24,740 25,753 27,686 24,475 24,829 25,732 903 Wholesale trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,926.2 5,520.3 5,548.7 5,641.4 5,898.9 5,537.0 5,549.3 5,616.9 67.6 Durable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,211.8 3,011.1 3,012.1 3,063.1 3,201.2 3,018.9 3,014.6 3,053.3 38.7 Nondurable goods. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,185.8 2,013.7 2,041.8 2,078.9 2,170.4 2,020.0 2,037.9 2,064.8 26.9 See footnotes at end of table. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Industry Not seasonally adjusted Seasonally adjusted June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Change from: May2020 - June2020p Wholesale trade - Continued Electronic markets and agents and brokers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528.6 495.5 494.8 499.4 527.3 498.1 496.8 498.8 2.0 Retail trade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15,622.9 13,174.9 13,627.5 14,418.5 15,613.4 13,287.6 13,659.1 14,398.9 739.8 Motor vehicle and parts dealers. . . . . . . . . . . . . 2,042.7 1,683.4 1,775.7 1,864.5 2,030.3 1,686.4 1,769.8 1,853.8 84.0 Automobile dealers. . . . . . . . . . . . . . . . . . . . . . . . 1,301.7 1,016.8 1,109.2 1,169.5 1,298.3 1,019.9 1,109.4 1,167.5 58.1 Other motor vehicle dealers. . . . . . . . . . . . . . . 172.2 124.5 140.9 156.7 163.4 123.2 135.1 148.2 13.1 Auto parts, accessories, and tire stores. . . 568.8 542.1 525.6 538.3 568.6 543.3 525.3 538.1 12.8 Furniture and home furnishings stores. . . . . . 468.1 247.9 292.7 377.6 472.4 253.6 297.5 381.7 84.2 Electronics and appliance stores. . . . . . . . . . . . 471.2 423.5 350.0 375.6 477.4 427.0 354.4 380.8 26.4 Building material and garden supply stores. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,349.4 1,320.3 1,394.9 1,405.9 1,291.6 1,274.1 1,327.8 1,343.1 15.3 Food and beverage stores. . . . . . . . . . . . . . . . . . 3,091.8 3,024.2 3,089.9 3,147.1 3,070.9 3,047.8 3,095.5 3,127.3 31.8 Health and personal care stores. . . . . . . . . . . . 1,045.0 942.3 896.1 929.4 1,048.4 949.4 901.7 932.4 30.7 Gasoline stations. . . . . . . . . . . . . . . . . . . . . . . . . . . . 955.6 891.7 893.9 918.3 943.8 898.6 893.0 907.5 14.5 Clothing and clothing accessories stores. . . . 1,278.6 476.2 549.7 754.5 1,299.3 492.0 565.6 767.2 201.6 Sporting goods, hobby, book, and music stores. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535.5 327.4 356.0 421.8 549.3 338.7 367.2 432.7 65.5 General merchandise stores. . . . . . . . . . . . . . . . 2,974.6 2,802.7 2,900.7 3,010.2 3,027.7 2,869.3 2,953.6 3,061.7 108.1 Department stores. . . . . . . . . . . . . . . . . . . . . . . . 1,038.5 780.0 826.2 876.7 1,074.7 810.8 858.2 906.9 48.7 General merchandise stores, including warehouse clubs and supercenters. . . . . 1,936.1 2,022.7 2,074.5 2,133.5 1,952.9 2,058.5 2,095.4 2,154.8 59.4 Miscellaneous store retailers. . . . . . . . . . . . . . . . 847.4 535.5 611.8 685.6 837.3 544.0 608.5 678.6 70.1 Nonstore retailers. . . . . . . . . . . . . . . . . . . . . . . . . . . 563.0 499.8 516.1 528.0 565.0 506.7 524.5 532.1 7.6 Transportation and warehousing. . . . . . . . . . . . . . . 5,595.2 5,017.6 5,024.0 5,152.7 5,622.7 5,108.4 5,080.1 5,178.8 98.7 Air transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . . 507.6 432.7 384.7 383.0 503.3 433.1 383.2 379.6 -3.6 Rail transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . 176.0 154.9 148.0 145.5 175.8 154.4 148.3 145.8 -2.5 Water transportation. . . . . . . . . . . . . . . . . . . . . . . . . 67.2 57.9 57.4 60.5 65.2 59.1 56.8 58.5 1.7 Truck transportation. . . . . . . . . . . . . . . . . . . . . . . . . 1,548.7 1,414.6 1,430.2 1,453.5 1,535.3 1,430.6 1,432.6 1,440.7 8.1 Transit and ground passenger transportation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496.9 331.3 327.7 308.0 502.6 317.0 310.2 314.0 3.8 Pipeline transportation. . . . . . . . . . . . . . . . . . . . . . . 51.8 50.5 50.4 50.1 51.7 50.5 50.5 50.1 -0.4 Scenic and sightseeing transportation. . . . . . . 46.1 11.4 17.6 24.5 36.4 12.5 16.2 19.4 3.2 Support activities for transportation. . . . . . . . . . 756.7 666.7 661.3 671.5 756.2 668.6 664.7 671.5 6.8 Couriers and messengers. . . . . . . . . . . . . . . . . . . 767.5 785.6 823.2 874.0 808.6 861.2 883.7 904.8 21.1 Warehousing and storage. . . . . . . . . . . . . . . . . . . 1,176.7 1,112.0 1,123.5 1,182.1 1,187.6 1,121.4 1,133.9 1,194.4 60.5 Utilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.1 540.0 539.5 540.0 550.5 542.3 540.7 537.5 -3.2 Information. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,874 2,607 2,561 2,586 2,865 2,609 2,570 2,579 9 Publishing industries, except Internet. . . . . . . . . . 763.4 742.2 734.9 741.3 762.2 747.0 739.9 739.3 -0.6 Motion picture and sound recording industries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457.7 224.9 214.4 219.5 450.0 220.4 210.0 212.6 2.6 Broadcasting, except Internet. . . . . . . . . . . . . . . . . . 265.9 246.2 237.4 237.7 266.4 246.4 238.5 238.3 -0.2 Telecommunications. . . . . . . . . . . . . . . . . . . . . . . . . . . 712.7 692.2 684.2 687.5 713.0 694.7 688.4 688.1 -0.3 Data processing, hosting and related services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335.8 345.9 340.0 343.4 336.1 344.1 339.9 345.5 5.6 Other information services. . . . . . . . . . . . . . . . . . . . . 338.3 355.1 350.3 356.2 336.8 356.4 353.4 355.6 2.2 Financial activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,783 8,523 8,552 8,650 8,732 8,566 8,576 8,608 32 Finance and insurance. . . . . . . . . . . . . . . . . . . . . . . . . 6,428.9 6,419.7 6,419.0 6,459.9 6,415.3 6,442.9 6,439.7 6,449.0 9.3 Monetary authorities - central bank. . . . . . . . . . 19.7 19.6 19.7 19.9 19.6 19.7 19.8 19.8 0.0 Credit intermediation and related activities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,655.0 2,637.5 2,645.7 2,659.2 2,647.1 2,648.1 2,650.7 2,651.6 0.9 Depository credit intermediation1 . . . . . . . . . . 1,784.3 1,767.3 1,772.3 1,781.4 1,776.2 1,771.3 1,773.1 1,773.6 0.5 Commercial banking. . . . . . . . . . . . . . . . . . . . 1,397.8 1,379.3 1,384.3 1,391.1 1,392.2 1,384.0 1,385.2 1,385.6 0.4 Nondepository credit intermediation. . . . . . . 573.4 572.7 572.7 574.5 572.9 578.5 575.4 573.5 -1.9 Activities related to credit intermediation.. . 297.3 297.5 300.7 303.3 298.0 298.3 302.2 304.5 2.3 Securities, commodity contracts, investments, and funds and trusts. . . . . . . . 966.2 961.2 962.0 973.5 964.1 966.6 969.1 971.2 2.1 Insurance carriers and related activities. . . . . 2,788.0 2,801.4 2,791.6 2,807.3 2,784.5 2,808.5 2,800.1 2,806.4 6.3 Real estate and rental and leasing. . . . . . . . . . . . 2,354.0 2,103.1 2,132.5 2,190.5 2,317.1 2,123.5 2,136.1 2,158.9 22.8 Real estate. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,731.7 1,625.8 1,644.2 1,683.3 1,715.2 1,638.5 1,649.4 1,667.7 18.3 Rental and leasing services. . . . . . . . . . . . . . . . . 598.5 454.5 465.4 483.8 578.7 461.9 463.8 468.3 4.5 See footnotes at end of table. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Industry Not seasonally adjusted Seasonally adjusted June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Change from: May2020 - June2020p Real estate and rental and leasing - Continued Lessors of nonfinancial intangible assets. . . . 23.8 22.8 22.9 23.4 23.2 23.1 22.9 22.9 0.0 Professional and business services. . . . . . . . . . . . . . 21,428 19,215 19,398 19,836 21,294 19,254 19,414 19,720 306 Professional and technical services. . . . . . . . . . . . 9,520.0 9,193.2 9,142.4 9,246.0 9,534.1 9,146.8 9,213.7 9,276.0 62.3 Legal services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,159.2 1,086.7 1,096.3 1,116.7 1,148.6 1,092.3 1,099.3 1,106.8 7.5 Accounting and bookkeeping services. . . . . . 973.9 1,055.0 946.7 950.3 1,028.3 965.0 998.5 1,016.0 17.5 Architectural and engineering services. . . . . . 1,531.7 1,448.5 1,462.3 1,494.0 1,513.0 1,459.5 1,463.5 1,475.9 12.4 Specialized design services. . . . . . . . . . . . . . . . . 144.2 125.1 126.1 131.9 143.6 125.8 125.9 131.4 5.5 Computer systems design and related services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,199.1 2,164.9 2,160.5 2,141.4 2,202.2 2,172.6 2,165.5 2,145.1 -20.4 Management and technical consulting services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,525.7 1,462.3 1,475.2 1,491.1 1,523.4 1,472.5 1,481.2 1,490.6 9.4 Scientific research and development services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 733.4 726.5 729.8 744.5 726.4 730.7 731.6 737.7 6.1 Advertising and related services. . . . . . . . . . . . . 495.2 449.5 449.4 454.4 492.7 450.4 449.8 452.3 2.5 Other professional and technical services. . . 757.6 674.7 696.1 721.7 755.9 678.0 698.4 720.2 21.8 Management of companies and enterprises. . . 2,442.3 2,341.3 2,340.2 2,365.1 2,425.0 2,355.5 2,343.5 2,348.3 4.8 Administrative and waste services. . . . . . . . . . . . . 9,465.5 7,680.0 7,915.2 8,224.6 9,334.9 7,751.8 7,856.8 8,095.8 239.0 Administrative and support services. . . . . . . . . 9,007.4 7,231.8 7,461.3 7,769.6 8,883.0 7,300.6 7,403.9 7,646.6 242.7 Office administrative services. . . . . . . . . . . . . 530.9 489.7 494.0 496.3 527.1 490.9 493.3 492.7 -0.6 Facilities support services. . . . . . . . . . . . . . . . . 163.8 152.5 149.0 154.7 164.3 153.1 149.7 155.3 5.6 Employment services1 . . . . . . . . . . . . . . . . . . . . 3,629.1 2,580.0 2,675.8 2,852.3 3,627.0 2,640.7 2,691.1 2,852.3 161.2 Temporary help services. . . . . . . . . . . . . . . . 2,940.7 1,993.1 2,080.7 2,239.9 2,942.7 2,047.9 2,094.8 2,243.7 148.9 Business support services. . . . . . . . . . . . . . . . 867.8 746.1 737.8 750.5 882.0 751.0 747.7 762.5 14.8 Travel arrangement and reservation services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.2 175.8 170.6 164.3 218.2 175.9 169.1 161.5 -7.6 Investigation and security services. . . . . . . . 957.1 885.0 888.9 895.2 957.2 890.2 888.1 895.1 7.0 Services to buildings and dwellings. . . . . . . 2,293.4 1,913.7 2,055.0 2,152.0 2,170.2 1,911.1 1,975.7 2,028.8 53.1 Other support services. . . . . . . . . . . . . . . . . . . . 343.1 289.0 290.2 304.3 337.0 287.7 289.2 298.4 9.2 Waste management and remediation services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458.1 448.2 453.9 455.0 451.9 451.2 452.9 449.2 -3.7 Education and health services. . . . . . . . . . . . . . . . . . . 23,939 21,972 22,243 22,569 24,131 21,805 22,204 22,772 568 Educational services. . . . . . . . . . . . . . . . . . . . . . . . . . . 3,549.3 3,488.3 3,376.6 3,231.0 3,750.6 3,317.6 3,346.8 3,440.2 93.4 Health care and social assistance. . . . . . . . . . . . . 20,389.8 18,483.4 18,866.4 19,337.7 20,380.0 18,487.7 18,857.2 19,332.1 474.9 Health care3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,267.0 14,901.4 15,223.2 15,617.3 16,250.4 14,929.6 15,245.2 15,603.2 358.0 Ambulatory health care services. . . . . . . . . . 7,687.9 6,513.0 6,924.4 7,300.8 7,680.7 6,522.0 6,923.4 7,294.8 371.4 Offices of physicians. . . . . . . . . . . . . . . . . . . . 2,668.8 2,422.1 2,487.7 2,569.0 2,670.1 2,427.6 2,490.0 2,570.0 80.0 Offices of dentists. . . . . . . . . . . . . . . . . . . . . . . 969.4 427.3 684.2 876.8 966.7 427.9 684.2 874.6 190.4 Offices of other health practitioners. . . . . 968.0 748.9 819.8 867.9 965.7 750.7 818.2 865.7 47.5 Outpatient care centers. . . . . . . . . . . . . . . . . 960.2 901.3 912.5 936.1 961.0 900.7 913.0 937.1 24.1 Medical and diagnostic laboratories. . . . 282.4 257.6 257.5 266.0 281.8 258.6 258.7 265.7 7.0 Home health care services. . . . . . . . . . . . . 1,525.6 1,461.8 1,467.7 1,485.0 1,523.2 1,461.7 1,465.1 1,482.9 17.8 Other ambulatory health care services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.5 294.0 295.0 300.0 312.2 294.8 294.2 298.8 4.6 Hospitals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,193.6 5,132.8 5,087.4 5,113.4 5,191.6 5,139.6 5,105.1 5,111.8 6.7 Nursing and residential care facilities. . . . . 3,385.5 3,255.6 3,211.4 3,203.1 3,378.1 3,268.0 3,216.7 3,196.6 -20.1 Nursing care facilities. . . . . . . . . . . . . . . . . . . 1,601.1 1,534.1 1,505.2 1,491.8 1,599.7 1,540.8 1,508.9 1,490.6 -18.3 Residential mental health facilities. . . . . . 650.6 621.3 614.6 617.4 648.1 623.0 615.0 615.0 0.0 Community care facilities for the elderly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 969.5 941.1 932.3 933.0 967.6 944.7 932.8 931.4 -1.4 Other residential care facilities. . . . . . . . . . 164.3 159.1 159.3 160.9 162.7 159.5 160.0 159.6 -0.4 Social assistance. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,122.8 3,582.0 3,643.2 3,720.4 4,129.6 3,558.1 3,612.0 3,728.9 116.9 Individual and family services. . . . . . . . . . . . . 2,610.6 2,458.8 2,480.3 2,503.0 2,605.7 2,452.6 2,471.5 2,499.2 27.7 Emergency and other relief services. . . . . . 185.0 177.0 178.0 179.5 184.6 177.9 178.7 179.1 0.4 Vocational rehabilitation services. . . . . . . . . 325.2 258.3 261.3 272.8 321.9 259.6 261.5 270.3 8.8 Child day care services. . . . . . . . . . . . . . . . . . . 1,002.0 687.9 723.6 765.1 1,017.3 668.0 700.3 780.3 80.0 Leisure and hospitality. . . . . . . . . . . . . . . . . . . . . . . . . . . 17,219 8,485 10,107 12,556 16,526 8,549 9,952 12,040 2,088 Arts, entertainment, and recreation. . . . . . . . . . . . 2,714.5 1,114.4 1,232.4 1,752.3 2,415.4 1,143.1 1,197.3 1,563.2 365.9 Performing arts and spectator sports. . . . . . . . 553.2 273.7 275.7 288.0 518.6 268.9 259.2 270.6 11.4 Museums, historical sites, and similar institutions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.2 123.4 125.1 133.7 171.6 125.3 121.5 122.7 1.2 See footnotes at end of table. ESTABLISHMENT DATA Table B-1. Employees on nonfarm payrolls by industry sector and selected industry detail — Continued [In thousands] Industry Not seasonally adjusted Seasonally adjusted June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Change from: May2020 - June2020p Arts, entertainment, and recreation - Continued Amusements, gambling, and recreation. . . . . 1,974.1 717.3 831.6 1,330.6 1,725.2 748.9 816.6 1,169.9 353.3 Accommodation and food services. . . . . . . . . . . . 14,504.8 7,370.6 8,874.6 10,804.0 14,110.8 7,406.1 8,755.0 10,477.0 1,722.0 Accommodation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,192.7 1,130.4 1,069.1 1,412.8 2,084.6 1,179.0 1,066.2 1,304.8 238.6 Food services and drinking places. . . . . . . . . . 12,312.1 6,240.2 7,805.5 9,391.2 12,026.2 6,227.1 7,688.8 9,172.2 1,483.4 Other services. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,970 4,564 4,852 5,254 5,896 4,571 4,832 5,189 357 Repair and maintenance. . . . . . . . . . . . . . . . . . . . . . . 1,360.4 1,137.8 1,222.4 1,281.7 1,351.8 1,134.2 1,213.3 1,273.7 60.4 Personal and laundry services. . . . . . . . . . . . . . . . . 1,540.7 686.5 864.6 1,132.5 1,524.3 685.0 856.0 1,120.2 264.2 Membership associations and organizations. . . 3,069.0 2,740.1 2,764.7 2,839.3 3,019.4 2,751.3 2,762.4 2,794.6 32.2 Government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,461 22,158 21,544 21,153 22,553 21,776 21,243 21,276 33 Federal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,845.0 2,876.0 2,881.0 2,902.0 2,829.0 2,893.0 2,884.0 2,885.0 1.0 Federal, except U.S. Postal Service. . . . . . . . . . . . . 2,238.3 2,281.1 2,280.1 2,298.5 2,220.8 2,289.6 2,280.8 2,280.7 -0.1 U.S. Postal Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 606.2 595.2 601.0 603.5 608.2 602.9 603.1 604.3 1.2 State government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,898.0 5,146.0 4,929.0 4,648.0 5,157.0 4,993.0 4,940.0 4,915.0 -25.0 State government education. . . . . . . . . . . . . . . . . . . . . 2,193.0 2,444.6 2,239.6 1,948.7 2,470.1 2,290.0 2,251.0 2,232.2 -18.8 State government, excluding education. . . . . . . . . . 2,704.7 2,701.4 2,689.0 2,699.1 2,686.8 2,702.8 2,688.8 2,683.2 -5.6 Local government. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14,718.0 14,136.0 13,734.0 13,603.0 14,567.0 13,890.0 13,419.0 13,476.0 57.0 Local government education. . . . . . . . . . . . . . . . . . . . . 7,940.6 7,920.1 7,611.8 7,317.1 7,986.9 7,596.1 7,304.6 7,374.9 70.3 Local government, excluding education. . . . . . . . . . 6,777.2 6,216.1 6,122.0 6,286.1 6,580.0 6,294.3 6,114.7 6,100.9 -13.8 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 2019 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 June 2019 Apr. 2020 May 2020p June 2020p AVERAGE WEEKLY HOURS Total private............................................................................. 34.4 34.2 34.7 34.5 Goods-producing.................................................................... 40.4 38.1 38.9 39.2 Mining and logging................................................................ 46.3 43.0 42.9 43.3 Construction....................................................................... 39.3 37.8 38.8 38.9 Manufacturing..................................................................... 40.6 38.0 38.7 39.2 Durable goods.................................................................. 41.1 37.8 38.7 39.2 Nondurable goods.............................................................. 39.9 38.3 38.7 39.0 Private service-providing............................................................ 33.3 33.4 33.8 33.6 Trade, transportation, and utilities.............................................. 34.2 33.8 34.3 34.3 Wholesale trade................................................................ 38.9 37.7 38.0 38.2 Retail trade...................................................................... 30.7 30.5 31.2 31.2 Transportation and warehousing............................................. 38.4 37.2 37.7 37.8 Utilities........................................................................... 42.5 42.5 42.2 42.3 Information......................................................................... 36.4 36.5 36.6 36.5 Financial activities................................................................ 37.5 37.7 37.7 37.7 Professional and business services............................................ 36.2 35.9 36.4 36.3 Education and health services.................................................. 33.0 32.7 32.9 33.1 Leisure and hospitality........................................................... 25.9 24.2 25.9 25.5 Other services..................................................................... 31.9 32.2 32.6 32.3 AVERAGE OVERTIME HOURS Manufacturing........................................................................... 3.4 2.1 2.4 2.4 Durable goods....................................................................... 3.3 1.7 2.1 2.1 Nondurable goods................................................................... 3.5 2.7 3.0 3.0 p Preliminary NOTE: Data have been revised to reflect March 2019 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 June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Total private............................................... $27.96 $30.03 $29.72 $29.37 $961.82 $1,027.03 $1,031.28 $1,013.27 Goods-producing....................................... 28.98 30.25 30.13 29.89 1,170.79 1,152.53 1,172.06 1,171.69 Mining and logging.................................. 33.65 35.06 35.24 35.07 1,558.00 1,507.58 1,511.80 1,518.53 Construction.......................................... 30.74 31.37 31.48 31.62 1,208.08 1,185.79 1,221.42 1,230.02 Manufacturing........................................ 27.68 29.31 29.02 28.57 1,123.81 1,113.78 1,123.07 1,119.94 Durable goods.................................... 29.16 30.85 30.52 29.91 1,198.48 1,166.13 1,181.12 1,172.47 Nondurable goods................................ 25.12 26.82 26.57 26.32 1,002.29 1,027.21 1,028.26 1,026.48 Private service-providing.............................. 27.71 29.97 29.62 29.24 922.74 1,001.00 1,001.16 982.46 Trade, transportation, and utilities................. 24.20 25.66 25.40 25.18 827.64 867.31 871.22 863.67 Wholesale trade.................................. 31.38 32.53 32.50 32.31 1,220.68 1,226.38 1,235.00 1,234.24 Retail trade........................................ 19.65 21.09 20.81 20.77 603.26 643.25 649.27 648.02 Transportation and warehousing............... 24.79 25.73 25.69 25.38 951.94 957.16 968.51 959.36 Utilities............................................. 41.71 43.15 43.04 43.35 1,772.68 1,833.88 1,816.29 1,833.71 Information........................................... 41.84 43.62 43.54 43.23 1,522.98 1,592.13 1,593.56 1,577.90 Financial activities................................... 35.91 37.31 37.63 38.10 1,346.63 1,406.59 1,418.65 1,436.37 Professional and business services.............. 33.63 35.70 35.42 35.15 1,217.41 1,281.63 1,289.29 1,275.95 Education and health services..................... 27.54 28.29 28.44 28.41 908.82 925.08 935.68 940.37 Leisure and hospitality.............................. 16.55 17.92 17.39 16.99 428.65 433.66 450.40 433.25 Other services....................................... 25.18 27.49 27.21 26.61 803.24 885.18 887.05 859.50 p Preliminary NOTE: Data have been revised to reflect March 2019 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 hours1 Index of aggregate weekly payrolls2 June 2019 Apr. 2020 May 2020p June 2020p Percent change from: May 2020 - June 2020p June 2019 Apr. 2020 May 2020p June 2020p Percent change from: May 2020 - June 2020p Total private..................................... 110.7 93.2 97.4 100.9 3.6 148.0 133.8 138.3 141.7 2.5 Goods-producing............................. 97.0 81.2 85.9 88.8 3.4 127.1 111.0 117.0 120.0 2.6 Mining and logging........................ 107.8 88.2 85.5 84.9 -0.7 145.6 124.2 120.9 119.5 -1.2 Construction................................ 101.6 85.4 93.7 96.1 2.6 135.7 116.4 128.2 132.0 3.0 Manufacturing.............................. 93.8 78.5 81.7 85.3 4.4 120.7 107.1 110.3 113.3 2.7 Durable goods........................... 93.3 75.8 79.3 83.5 5.3 120.8 103.9 107.5 111.0 3.3 Nondurable goods...................... 95.1 83.4 86.2 88.1 2.2 121.2 113.5 116.2 117.7 1.3 Private service-providing.................... 114.8 96.6 100.5 104.5 4.0 154.7 140.7 144.7 148.6 2.7 Trade, transportation, and utilities....... 103.3 90.3 92.9 96.3 3.7 134.8 124.9 127.3 130.8 2.7 Wholesale trade......................... 101.2 92.1 93.0 94.6 1.7 132.9 125.3 126.4 127.9 1.2 Retail trade.............................. 97.3 82.3 86.5 91.2 5.4 126.4 114.7 119.0 125.2 5.2 Transportation and warehousing...... 124.1 109.2 110.0 112.5 2.3 156.5 142.9 143.8 145.2 1.0 Utilities.................................... 101.2 99.7 98.7 98.4 -0.3 139.5 142.2 140.4 140.9 0.4 Information................................. 95.2 87.0 85.9 86.0 0.1 141.9 135.1 133.2 132.3 -0.7 Financial activities......................... 107.3 105.8 105.9 106.3 0.4 150.3 154.0 155.5 158.0 1.6 Professional and business services..... 120.9 108.4 110.8 112.2 1.3 164.6 156.7 158.9 159.7 0.5 Education and health services........... 130.0 116.4 119.3 123.1 3.2 172.3 158.5 163.2 168.2 3.1 Leisure and hospitality.................... 122.1 59.0 73.5 87.6 19.2 163.1 85.3 103.2 120.1 16.4 Other services............................. 108.4 84.9 90.8 96.6 6.4 149.7 127.9 135.4 140.9 4.1 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 2019 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 June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Total nonfarm............................................. 75,169 64,175 65,372 68,249 49.9 49.3 49.2 49.5 Total private............................................ 62,143 51,637 53,175 56,008 48.5 47.6 47.6 48.1 Goods-producing.................................... 4,702 4,209 4,340 4,486 22.3 22.5 22.4 22.6 Mining and logging............................... 96 94 94 91 13.0 14.4 14.8 14.6 Construction....................................... 970 887 933 953 12.9 13.5 13.3 13.3 Manufacturing..................................... 3,636 3,228 3,313 3,442 28.3 28.1 28.2 28.5 Durable goods.................................. 1,934 1,723 1,748 1,840 24.0 24.2 24.0 24.3 Nondurable goods............................. 1,702 1,505 1,565 1,602 35.7 34.5 35.1 35.4 Private service-providing........................... 57,441 47,428 48,835 51,522 53.6 52.8 52.9 53.3 Trade, transportation, and utilities.............. 11,070 9,357 9,515 9,995 40.0 38.2 38.3 38.8 Wholesale trade................................ 1,773.3 1,631.9 1,645.1 1,673.6 30.1 29.5 29.6 29.8 Retail trade..................................... 7,741.6 6,342.3 6,510.3 6,937.2 49.6 47.7 47.7 48.2 Transportation and warehousing............. 1,422.9 1,250.5 1,226.8 1,251.8 25.3 24.5 24.1 24.2 Utilities........................................... 132.1 132.3 132.4 132.0 24.0 24.4 24.5 24.6 Information......................................... 1,135 1,042 1,023 1,038 39.6 39.9 39.8 40.2 Financial activities................................ 4,946 4,858 4,839 4,859 56.6 56.7 56.4 56.4 Professional and business services............ 9,703 8,730 8,791 8,970 45.6 45.3 45.3 45.5 Education and health services.................. 18,650 16,712 17,040 17,552 77.3 76.6 76.7 77.1 Leisure and hospitality........................... 8,788 4,470 5,183 6,399 53.2 52.3 52.1 53.1 Other services..................................... 3,149 2,259 2,444 2,709 53.4 49.4 50.6 52.2 Government............................................. 13,026 12,538 12,197 12,241 57.8 57.6 57.4 57.5 p Preliminary NOTE: Data have been revised to reflect March 2019 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-6. Employment of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 [In thousands] Industry June 2019 Apr. 2020 May 2020p June 2020p Total private............................................................................... 105,503 87,211 90,041 94,363 Goods-producing....................................................................... 15,093 13,052 13,608 14,091 Mining and logging.................................................................. 545 461 442 436 Construction.......................................................................... 5,580 4,760 5,154 5,285 Manufacturing........................................................................ 8,968 7,831 8,012 8,370 Durable goods..................................................................... 5,549 4,699 4,805 5,124 Nondurable goods................................................................ 3,419 3,132 3,207 3,246 Private service-providing.............................................................. 90,410 74,159 76,433 80,272 Trade, transportation, and utilities................................................. 23,420 20,520 20,815 21,627 Wholesale trade................................................................... 4,737.4 4,390.4 4,391.8 4,449.1 Retail trade........................................................................ 13,334.0 11,292.8 11,610.6 12,265.5 Transportation and warehousing................................................ 4,906.6 4,402.6 4,380.2 4,486.2 Utilities.............................................................................. 441.6 433.9 432.5 426.3 Information............................................................................ 2,307 2,070 2,029 2,034 Financial activities................................................................... 6,753 6,561 6,540 6,566 Professional and business services............................................... 17,317 15,298 15,441 15,697 Education and health services..................................................... 21,202 19,055 19,409 19,887 Leisure and hospitality.............................................................. 14,527 6,993 8,308 10,245 Other services........................................................................ 4,884 3,662 3,891 4,216 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 2019 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-7. Average weekly hours and overtime of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 Industry June 2019 Apr. 2020 May 2020p June 2020p AVERAGE WEEKLY HOURS Total private............................................................................. 33.6 33.5 34.1 33.9 Goods-producing.................................................................... 41.2 38.5 39.6 40.0 Mining and logging................................................................ 47.2 43.0 43.8 44.1 Construction....................................................................... 39.8 38.2 39.5 39.5 Manufacturing..................................................................... 41.6 38.4 39.4 40.0 Durable goods.................................................................. 41.9 38.1 39.4 40.0 Nondurable goods.............................................................. 41.2 38.9 39.3 40.0 Private service-providing............................................................ 32.4 32.6 33.1 32.9 Trade, transportation, and utilities.............................................. 33.8 33.6 34.2 34.1 Wholesale trade................................................................ 38.7 37.0 37.6 38.0 Retail trade...................................................................... 30.3 30.5 31.3 31.0 Transportation and warehousing............................................. 37.9 37.2 37.8 37.9 Utilities........................................................................... 42.2 42.3 41.8 42.4 Information......................................................................... 35.5 35.6 35.9 36.0 Financial activities................................................................ 36.7 36.8 37.0 36.8 Professional and business services............................................ 35.5 35.2 35.8 35.7 Education and health services.................................................. 32.2 31.8 32.1 32.5 Leisure and hospitality........................................................... 24.7 22.3 24.3 24.1 Other services..................................................................... 30.8 31.2 31.7 31.5 AVERAGE OVERTIME HOURS Manufacturing........................................................................... 4.2 2.8 3.1 3.2 Durable goods....................................................................... 4.2 2.5 2.9 2.9 Nondurable goods................................................................... 4.3 3.2 3.5 3.6 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 2019 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-8. Average hourly and weekly earnings of production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 Industry Average hourly earnings Average weekly earnings June 2019 Apr. 2020 May 2020p June 2020p June 2019 Apr. 2020 May 2020p June 2020p Total private............................................... $23.47 $25.12 $24.97 $24.74 $788.59 $841.52 $851.48 $838.69 Goods-producing....................................... 24.73 25.20 25.37 25.38 1,018.88 970.20 1,004.65 1,015.20 Mining and logging.................................. 29.86 31.13 30.72 30.58 1,409.39 1,338.59 1,345.54 1,348.58 Construction.......................................... 28.50 28.65 28.97 29.35 1,134.30 1,094.43 1,144.32 1,159.33 Manufacturing........................................ 22.14 22.72 22.72 22.61 921.02 872.45 895.17 904.40 Durable goods.................................... 23.07 23.55 23.60 23.55 966.63 897.26 929.84 942.00 Nondurable goods................................ 20.61 21.49 21.39 21.11 849.13 835.96 840.63 844.40 Private service-providing.............................. 23.20 25.10 24.88 24.60 751.68 818.26 823.53 809.34 Trade, transportation, and utilities................. 20.65 21.61 21.66 21.65 697.97 726.10 740.77 738.27 Wholesale trade.................................. 26.10 26.89 26.93 26.80 1,010.07 994.93 1,012.57 1,018.40 Retail trade........................................ 16.60 17.62 17.87 18.06 502.98 537.41 559.33 559.86 Transportation and warehousing............... 22.48 22.94 22.94 22.76 851.99 853.37 867.13 862.60 Utilities............................................. 36.69 38.02 37.81 38.52 1,548.32 1,608.25 1,580.46 1,633.25 Information........................................... 33.67 35.66 35.36 35.44 1,195.29 1,269.50 1,269.42 1,275.84 Financial activities................................... 27.65 28.79 29.15 29.01 1,014.76 1,059.47 1,078.55 1,067.57 Professional and business services.............. 27.75 29.75 29.59 29.32 985.13 1,047.20 1,059.32 1,046.72 Education and health services..................... 24.21 25.24 25.27 25.28 779.56 802.63 811.17 821.60 Leisure and hospitality.............................. 14.44 14.60 14.45 14.55 356.67 325.58 351.14 350.66 Other services....................................... 21.39 23.20 22.97 22.49 658.81 723.84 728.15 708.44 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 2019 benchmark levels and updated seasonal adjustment factors. ESTABLISHMENT DATA Table B-9. Indexes of aggregate weekly hours and payrolls for production and nonsupervisory employees on private nonfarm payrolls by industry sector, seasonally adjusted1 [2002=100] Industry Index of aggregate weekly hours2 Index of aggregate weekly payrolls3 June 2019 Apr. 2020 May 2020p June 2020p Percent change from: May 2020 - June 2020p June 2019 Apr. 2020 May 2020p June 2020p Percent change from: May 2020 - June 2020p Total private..................................... 118.1 97.4 102.3 106.6 4.2 185.3 163.5 170.8 176.3 3.2 Goods-producing............................. 95.0 76.8 82.3 86.1 4.6 143.9 118.5 127.9 133.9 4.7 Mining and logging........................ 136.7 105.3 102.9 102.2 -0.7 237.4 190.7 183.8 181.7 -1.1 Construction................................ 111.2 91.0 101.9 104.5 2.6 171.1 140.8 159.5 165.7 3.9 Manufacturing.............................. 85.6 69.0 72.5 76.9 6.1 124.0 102.6 107.7 113.6 5.5 Durable goods........................... 87.4 67.3 71.1 77.0 8.3 125.8 98.9 104.8 113.2 8.0 Nondurable goods...................... 83.0 71.8 74.3 76.5 3.0 120.9 109.0 112.2 114.1 1.7 Private service-providing.................... 124.8 103.0 107.8 112.5 4.4 198.6 177.3 184.0 189.9 3.2 Trade, transportation, and utilities....... 110.7 96.4 99.6 103.1 3.5 163.4 148.9 154.1 159.6 3.6 Wholesale trade......................... 108.8 96.4 98.0 100.3 2.3 167.6 153.0 155.8 158.7 1.9 Retail trade.............................. 102.2 87.2 92.0 96.2 4.6 145.4 131.6 140.8 148.9 5.8 Transportation and warehousing...... 140.7 123.9 125.3 128.7 2.7 201.4 181.0 183.0 186.4 1.9 Utilities.................................... 95.3 93.9 92.5 92.4 -0.1 146.0 149.0 145.9 148.6 1.9 Information................................. 93.5 84.1 83.1 83.6 0.6 155.8 148.5 145.5 146.6 0.8 Financial activities......................... 116.6 113.6 113.9 113.7 -0.2 198.4 201.3 204.2 203.0 -0.6 Professional and business services..... 137.5 120.4 123.6 125.3 1.4 226.8 213.0 217.5 218.5 0.5 Education and health services........... 145.6 129.2 132.8 137.8 3.8 232.6 215.2 221.6 229.9 3.7 Leisure and hospitality.................... 131.4 57.1 73.9 90.4 22.3 215.5 94.7 121.3 149.4 23.2 Other services............................. 105.5 80.1 86.5 93.1 7.6 164.4 135.4 144.8 152.6 5.4 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 2019 benchmark levels and updated seasonal adjustment factors.