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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Men: NSA
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 1976 06 357717·
 1976 07 947777·
 1976 08 997735·
 1976 09 397702·
 1976 10 307714.
 1976 11 887701·
 1976 12 327749.
 1977 01  97841.
 1977 02  487904·
 1977 03  377934·
 1977 04  227859.
 1977 05  337854.
 1977 06  397728·
 1977 07  237827·
 1977 08  827756.
 1977 09  567740·
 1977 10  787937·
 1977 11  517978·
 1977 12  508020·
 1978 01 487899.
 1978 02 667889·
 1978 03 557875·
 1978 04 897948·
 1978 05 27823.
 1978 06 287748.
 1978 07 897747.
 1978 08 877777·
 1978 09 377755·
 1978 10 157848·
 1978 11 367828·
 1978 12 567896·
 1979 01  987752·
 1979 02  27797.
 1979 03  37778.
 1979 04  357851·
 1979 05  547911.
 1979 06  887740·
 1979 07  217754.
 1979 08  877667.
 1979 09  987760·
 1979 10  17864.
 1979 11  477812·
 1979 12  987789.
 1980 01 517781.
 1980 02 907886.
 1980 03 637876.
 1980 04 837924·
 1980 05 567908.
 1980 06 307892·
 1980 07 747830.
 1980 08 797599.
 1980 09 827691.
 1980 10 227799·
 1980 11 137810·
 1980 12 487875·
 1981 01  237905.
 1981 02  917784·
 1981 03  377907·
 1981 04  807805.
 1981 05  07774.
 1981 06  887585.
 1981 07  277621·
 1981 08  867394.
 1981 09  557471.
 1981 10  897546·
 1981 11  897566.
 1981 12  57755·
 1982 01 577728·
 1982 02 927666·
 1982 03 567711·
 1982 04 07666·
 1982 05 27663·
 1982 06 247570.
 1982 07 847465.
 1982 08 587425·
 1982 09 87520.
 1982 10 367542.
 1982 11 547598.
 1982 12 927624·
 1983 01  207531·
 1983 02  27599.
 1983 03  747666·
 1983 04  407662·
 1983 05  57673·
 1983 06  237537·
 1983 07  747670·
 1983 08  667615·
 1983 09  607568·
 1983 10  257653·
 1983 11  127693.
 1983 12  567614·
 1984 01 27601.
 1984 02 587776·
 1984 03 697705.
 1984 04 247686·
 1984 05 767583.
 1984 06 967561·
 1984 07 527611·
 1984 08 87596.
 1984 09 517830.
 1984 10 418013·
 1984 11 937887.
 1984 12 717798.
 1985 01  217768·
 1985 02  197855·
 1985 03  477787·
 1985 04  07680.
 1985 05  57578.
 1985 06  787559.
 1985 07  987669·
 1985 08  97660.
 1985 09  487830.
 1985 10  957917.
 1985 11  507927.
 1985 12  357857·
 1986 01 198062·
 1986 02 717955.
 1986 03 377866.
 1986 04 417928·
 1986 05 117877.
 1986 06 307697·
 1986 07 147806·
 1986 08 157643.
 1986 09 447620.
 1986 10 227674.
 1986 11 647739·
 1986 12 717791.
 1987 01  627766.
 1987 02  258022·
 1987 03  938031·
 1987 04  457945.
 1987 05  348015·
 1987 06  368034·
 1987 07  328001·
 1987 08  17881·
 1987 09  548065.
 1987 10  838125·
 1987 11  388135·
 1987 12  268136.
 1988 01 428029·
 1988 02 168064·
 1988 03 938049·
 1988 04 348044.
 1988 05 418094.
 1988 06 98111·
 1988 07 48041.
 1988 08 638100·
 1988 09 218051·
 1988 10 648102·
 1988 11 28107.
 1988 12 758102.
 1989 01  768109·
 1989 02  58187.
 1989 03  438266.
 1989 04  588110.
 1989 05  258051.
 1989 06  838036.
 1989 07  108000·
 1989 08  257975·
 1989 09  128033·
 1989 10  748183·
 1989 11  108231.
 1989 12  148274.
 1990 01 68136.
 1990 02 778206·
 1990 03 728319·
 1990 04 888321·
 1990 05 18398·
 1990 06 198222·
 1990 07 568177·
 1990 08 358135.
 1990 09 188035·
 1990 10 498304.
 1990 11 418347·
 1990 12 688340·
 1991 01  988312.
 1991 02  438278.
 1991 03  348300.
 1991 04  248417.
 1991 05  138212.
 1991 06  28206.
 1991 07  688270·
 1991 08  678229.
 1991 09  568168·
 1991 10  518509.
 1991 11  998356.
 1991 12  838340·
 1992 01 458357·
 1992 02 398294.
 1992 03 98206·
 1992 04 888183.
 1992 05 268249·
 1992 06 438288·
 1992 07 48431.
 1992 08 178482.
 1992 09 678498.
 1992 10 648561.
 1992 11 158385·
 1992 12 348236.
 1993 01  638412.
 1993 02  258458·
 1993 03  08484·
 1993 04  288460·
 1993 05  338465.
 1993 06  788409·
 1993 07  408393.
 1993 08  108493·
 1993 09  208407·
 1993 10  998488.
 1993 11  428410.
 1993 12  188346·
 1994 01 948049.
 1994 02 868159·
 1994 03 378471.
 1994 04 178373·
 1994 05 508474.
 1994 06 678371·
 1994 07 828318·
 1994 08 928262·
 1994 09 58319·
 1994 10 918379.
 1994 11 598396·
 1994 12 588356·
 1995 01  58169.
 1995 02  348312.
 1995 03  748506.
 1995 04  538327·
 1995 05  198374·
 1995 06  968386·
 1995 07  608385.
 1995 08  388276.
 1995 09  408176·
 1995 10  28149·
 1995 11  718102·
 1995 12  38050·
 1996 01 887880.
 1996 02 38016.
 1996 03 918066·
 1996 04 598199·
 1996 05 68331.
 1996 06 748185·
 1996 07 268212.
 1996 08 468100.
 1996 09 658045.
 1996 10 168101·
 1996 11 88143.
 1996 12 258047·
 1997 01  588079.
 1997 02  548091.
 1997 03  927986·
 1997 04  848088·
 1997 05  57911.
 1997 06  397985·
 1997 07  628146.
 1997 08  387993.
 1997 09  497883·
 1997 10  457889.
 1997 11  228023.
 1997 12  228106.
 1998 01 598285.
 1998 02 748279.
 1998 03 68038.
 1998 04 18153·
 1998 05 318006·
 1998 06 508154.
 1998 07 708184.
 1998 08 628012·
 1998 09 827987·
 1998 10 248205·
 1998 11 958389.
 1998 12 188443.
 1999 01  578541.
 1999 02  718399·
 1999 03  888110·
 1999 04  78106.
 1999 05  268116.
 1999 06  928277·
 1999 07  808337·
 1999 08  918420.
 1999 09  818297.
 1999 10  128194·
 1999 11  298319·
 1999 12  608217.
 2000 01 448263.
 2000 02 828450.
 2000 03 168442·
 2000 04 258356.
 2000 05 578403.
 2000 06 778214·
 2000 07 478233.
 2000 08 248084.
 2000 09 898293.
 2000 10 978232.
 2000 11 558336.
 2000 12 218406·
 2001 01  368191.
 2001 02  688478.
 2001 03  958421.
 2001 04  48454·
 2001 05  158335·
 2001 06  408093.
 2001 07  508315.
 2001 08  848238.
 2001 09  728371.
 2001 10  888378.
 2001 11  268401·
 2001 12  08429.
 2002 01 758324.
 2002 02 148429·
 2002 03 558388.
 2002 04 168463.
 2002 05 198659.
 2002 06 418535.
 2002 07 938568·
 2002 08 188396.
 2002 09 228486.
 2002 10 218335.
 2002 11 228317.
 2002 12 208340·
 2003 01  298389.
 2003 02  308261·
 2003 03  498203.
 2003 04  608378.
 2003 05  98371.
 2003 06  668437.
 2003 07  58371·
 2003 08  08222·
 2003 09  568320·
 2003 10  578525·
 2003 11  478396·
 2003 12  298538·
 2004 01 898570.
 2004 02 528448·
 2004 03 578652·
 2004 04 598572.
 2004 05 528402.
 2004 06 268483·
 2004 07 418446.
 2004 08 288548·
 2004 09 158753.
 2004 10 818855.
 2004 11 318800.
 2004 12 998861.
 2005 01  718818·
 2005 02  418696.
 2005 03  848850.
 2005 04  608857.
 2005 05  408951.
 2005 06  568940·
 2005 07  808779·
 2005 08  248723.
 2005 09  668650.
 2005 10  38765·
 2005 11  288566.
 2005 12  298520.
 2006 01 188483·
 2006 02 818431.
 2006 03 588828·
 2006 04 378850·
 2006 05 908852·
 2006 06 178757.
 2006 07 278692.
 2006 08 378662.
 2006 09 18658·
 2006 10 598725·
 2006 11 168731.
 2006 12 418680.
 2007 01  968753·
 2007 02  858840·
 2007 03  338960.
 2007 04  889127·
 2007 05  439207·
 2007 06  939154·
 2007 07  109080.
 2007 08  409227.
 2007 09  379133·
 2007 10  119008·
 2007 11  18937.
 2007 12  858841.
 2008 01 978965·
 2008 02 879031·
 2008 03 909045·
 2008 04 369129.
 2008 05 679238.
 2008 06 979160.
 2008 07 839106·
 2008 08 319079·
 2008 09 168994·
 2008 10 429261·
 2008 11 129078·
 2008 12 328982.
 2009 01  389042.
 2009 02  478990.
 2009 03  338918·
 2009 04  289052·
 2009 05  539080.
 2009 06  639092·
 2009 07  279072.
 2009 08  328997.
 2009 09  48858·
 2009 10  649099.
 2009 11  38979.
 2009 12  828977.
 2010 01 619080·
 2010 02 529105.
 2010 03 909150.
 2010 04 399339·
 2010 05 189143·
 2010 06 518940·
 2010 07 469036·
 2010 08 938939·
 2010 09 949101.
 2010 10 139099·
 2010 11 528873·
 2010 12 568902·
 2011 01  338848·
 2011 02  129039.
 2011 03  168991.
 2011 04  668990·
 2011 05  49001·
 2011 06  488772.
 2011 07  688824·
 2011 08  868789·
 2011 09  18951·
 2011 10  489092·
 2011 11  668859·
 2011 12  38913·
 2012 01 458787·


 2012 02 628804.
 2012 03 918758·
 2012 04 318641.
 2012 05 778680.
 2012 06 648512.
 2012 07 498518·
 2012 08 88568.
 2012 09 698894·
 2012 10 569005.
 2012 11 728906.
 2012 12 979051.
 2013 01  139078.
 2013 02  639022·
 2013 03  189148.
 2013 04  848891·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
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      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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