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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 45-54 years, Men: NSA
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 1976 06 626.
 1976 07 5013·
 1976 08 862.
 1976 09 801·
 1976 10 641.
 1976 12 741.
 1977 01  47
 1977 02  513.
 1977 03  323.
 1977 04  971.
 1977 05  106·
 1977 06  215.
 1977 07  174.
 1977 08  01.
 1977 09  864.
 1977 10  332.
 1977 11  943.
 1977 12  901·
 1978 01 142.
 1978 02 582.
 1978 03 63
 1978 04 981·
 1978 05 563·
 1978 06 893.
 1978 07 517·
 1978 08 817.
 1978 09 12·
 1978 10 450·
 1978 12 7
 1979 01  212.
 1979 03  614.
 1979 06  700.
 1979 07  60.
 1979 08  241.
 1979 09  753·
 1979 10  345.
 1979 11  491.
 1979 12  223.
 1980 01 54·
 1980 02 302.
 1980 03 62
 1980 04 721·
 1980 06 381.
 1980 07 790.
 1980 08 950·
 1980 09 543.
 1980 10 891.
 1980 11 233·
 1980 12 233·
 1981 01  772·
 1981 02  944.
 1981 03  323·
 1981 04  473.
 1981 05  712·
 1981 08  184·
 1981 10  06.
 1981 11  911.
 1981 12  942.
 1982 01 463·
 1982 02 474.
 1982 03 75·
 1982 04 263.
 1982 05 943.
 1982 06 171.
 1982 07 704.
 1982 08 7511·
 1982 09 973.
 1982 10 777·
 1982 11 805·
 1982 12 723.
 1983 01  203.
 1983 02  242.
 1983 03  634.
 1983 04  733.
 1983 05  502.
 1983 06  764.
 1983 07  694·
 1983 08  61
 1983 09  02·
 1983 10  776.
 1983 11  735·
 1983 12  423·
 1984 02 82.
 1984 03 953.
 1984 04 755.
 1984 05 475·
 1984 06 378.
 1984 07 272.
 1984 08 25·
 1984 09 343·
 1984 10 756.
 1984 11 894·
 1984 12 49.
 1985 01  842.
 1985 02  34
 1985 04  284.
 1985 05  554·
 1985 06  38.
 1985 07  535.
 1985 08  115.
 1985 09  572·
 1985 10  234.
 1985 11  944.
 1985 12  334.
 1986 03 342·
 1986 04 12·
 1986 05 455.
 1986 06 133.
 1986 07 382.
 1986 08 192.
 1986 09 206·
 1986 10 954.
 1987 02  431·
 1987 03  833·
 1987 04  558·
 1987 05  487.
 1987 06  502.
 1987 07  257·
 1987 08  156·
 1987 09  676·
 1987 10  842·
 1987 12  12.
 1988 01 86
 1988 02 717.
 1988 03 968·
 1988 04 933.
 1988 05 838.
 1988 06 33.
 1988 07 612.
 1988 08 81.
 1988 09 411·
 1988 10 331.
 1988 11 798.
 1988 12 774·
 1989 01  262.
 1989 02  554·
 1989 03  777.
 1989 04  57
 1989 05  231·
 1989 06  892.
 1989 07  32·
 1989 08  303·
 1989 09  477.
 1989 10  782.
 1989 11  341.
 1989 12  12·
 1990 01 361.
 1990 03 916·
 1990 04 702.
 1990 05 41·
 1990 06 511.
 1990 07 222.
 1990 08 37
 1990 09 954·
 1990 10 811·
 1990 11 924·
 1990 12 843.
 1991 03  543·
 1991 05  395.
 1991 06  434·
 1991 07  874.
 1991 08  905.
 1991 09  633.
 1991 10  45
 1991 11  471.
 1991 12  323.
 1992 01 164.
 1992 02 931.
 1992 04 891.
 1992 05 392·
 1992 07 851.
 1992 08 56.
 1992 09 641.
 1992 11 926.
 1992 12 833.
 1993 01  25
 1993 02  464.
 1993 03  976.
 1993 04  49
 1993 05  223·
 1993 06  36
 1993 07  862·
 1993 08  454.
 1993 09  926·
 1993 10  60
 1993 11  163.
 1993 12  596·
 1994 01 527.
 1994 02 687.
 1994 03 673.
 1994 04 4
 1994 06 47
 1994 07 35
 1994 08 481·
 1994 09 183·
 1994 10 47
 1994 11 615·
 1994 12 906·
 1995 01  64
 1995 02  458·
 1995 03  736·
 1995 04  494.
 1995 05  291.
 1995 06  607.
 1995 07  202.
 1995 08  611.
 1995 09  272·
 1995 10  365·
 1995 11  78
 1995 12  690·
 1996 01 961·
 1996 02 440.
 1996 03 480.
 1996 04 694·
 1996 05 986·
 1996 06 764.
 1996 07 545·
 1996 08 633·
 1996 09 202.
 1996 10 524.
 1996 11 47
 1996 12 337.
 1997 01  786.
 1997 02  166.
 1997 03  23.
 1997 04  845.
 1997 05  7
 1997 06  384.
 1997 07  216·
 1997 08  49
 1997 09  713.
 1997 10  115.
 1997 11  277·
 1997 12  855.
 1998 01 573·
 1998 02 543.
 1998 03 723.
 1998 05 722.
 1998 06 803·
 1998 07 127.
 1998 08 325.
 1998 09 186.
 1998 10 767.
 1998 11 545.
 1998 12 56·
 1999 01  552·
 1999 03  83·
 1999 05  740.
 1999 06  182·
 1999 07  387·
 1999 08  653·
 1999 09  917·
 1999 10  223.
 2000 03 503.
 2000 04 59
 2000 05 503.
 2000 06 913·
 2000 07 973·
 2000 08 283·
 2000 09 18
 2000 10 263.
 2000 11 118·
 2000 12 353·
 2001 01  913·
 2001 02  522·
 2001 03  482·
 2001 04  682.
 2001 05  882·
 2001 06  203.
 2001 07  903·
 2001 08  405·
 2001 09  536.
 2001 10  55·
 2001 11  45
 2001 12  895·
 2002 01 557·
 2002 02 86.
 2002 03 427·
 2002 04 775·
 2002 05 874·
 2002 06 544.
 2002 07 402·
 2002 09 937·
 2002 10 709.
 2002 11 937.
 2002 12 197.
 2003 02  493.
 2003 03  471·
 2003 04  01.
 2003 05  873.
 2003 06  83
 2003 07  886.
 2003 08  7710·
 2003 09  746.
 2003 10  5813·
 2003 11  8713.
 2003 12  489·
 2004 01 38
 2004 02 6310·
 2004 03 626·
 2004 04 647·
 2004 05 615·
 2004 06 9
 2004 07 586.
 2004 08 04.
 2004 09 486.
 2004 10 359.
 2004 11 446·
 2004 12 576.
 2005 01  3111·
 2005 02  46·
 2005 03  159.
 2005 04  605·
 2005 06  680·
 2005 07  3
 2005 08  88
 2005 09  592·
 2005 10  402.
 2006 01 463.
 2006 02 105.
 2006 03 303.
 2006 04 5310·
 2006 05 713.
 2006 06 470·
 2006 10 734·
 2006 11 394.
 2006 12 394.
 2007 01  964.
 2007 02  141·
 2007 03  558·
 2007 04  404.
 2007 05  758.
 2007 06  37.
 2007 07  8311.
 2007 08  8611·
 2007 09  273·
 2007 11  153.
 2007 12  281·
 2008 01 152.
 2008 02 235·
 2008 03 512.
 2008 04 236·
 2008 05 899.
 2008 06 567.
 2008 07 364.
 2008 08 243·
 2008 09 974.
 2008 10 46
 2009 02  210.
 2009 05  13
 2009 06  525·
 2009 07  36
 2009 08  810·
 2009 09  974·
 2009 10  924.
 2009 11  960·
 2009 12  16
 2010 01 70·
 2010 02 793.
 2010 03 203·
 2010 04 513.
 2010 05 990.
 2010 06 11.
 2010 07 274.
 2010 08 383·
 2010 09 570.
 2010 10 710.
 2010 11 610.
 2010 12 51
 2011 01  850.
 2011 02  273.
 2011 03  923·
 2011 04  910·
 2011 05  16
 2011 06  336.
 2011 07  137.
 2011 08  844·
 2011 09  74·
 2011 10  750.
 2011 11  434.
 2011 12  794.
 2012 01 3810.
 2012 02 6712.
 2012 03 27
 2012 04 527.
 2012 05 175.
 2012 06 465.
 2012 07 346.
 2012 08 4
 2012 09 767.
 2012 10 767.
 2012 11 596.
 2012 12 5910·
 2013 01  703·
 2013 02  443.
 2013 03  1910·
 2013 04  697.
 2013 05  8310.
 2013 06  644.
 2013 07  600.
 2013 08  83.
 2013 09  19
 2013 10  7310·
 2013 11  503·
 2013 12  770.
 2014 01 11
 2014 02 347.
 2014 03 833·
 2014 04 20.
 2014 05 160.
 2014 06 350.
 2014 07 802·
 2014 08 332·
 2014 09 152·
 2014 10 892.
 2014 11 830.
 2014 12 440·
 2015 01  151·
 2015 02  340.
 2015 03  620.
 2015 04  370·
 2015 05  470.
 2015 06  320.
 2015 07  120·
 2015 08  381.
 2015 09  681.
 2015 10  721.
 2015 11  501·
 2015 12  954·
 2016 01 603.
 2016 02 660.
 2016 03 220·
 2016 04 854.
 2016 05 304·
 2016 06 520.


 2016 07 970·
 2016 08 93·
 2016 09 8
 2016 10 940.
 2016 11 684·
 2016 12 910.
 2017 01  520.
 2017 02  790.
 2017 03  562.
 2017 04  824·
 2017 05  444·
 2017 06  207.
 2017 07  37.
 2017 08  574.
 2017 09  894.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 45-54 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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