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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 65 years and over, Men: NSA
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 1976 06 14.
 1976 07 356·
 1976 08 585.
 1976 09 984·
 1976 10 67.
 1976 11 364·
 1976 12 455·
 1977 01  185.
 1977 02  2110.
 1977 03  8016·
 1977 04  766·
 1977 05  809·
 1977 06  9710·
 1977 07  478.
 1977 08  656.
 1977 09  298.
 1977 10  9
 1977 11  454·
 1977 12  502.
 1978 01 343·
 1978 02 573.
 1978 03 515·
 1978 04 929·
 1978 05 8814·
 1978 06 6613.
 1978 07 837.
 1978 08 814·
 1978 09 115·
 1978 10 887·
 1978 11 634.
 1978 12 292.
 1979 01  483.
 1979 03  976·
 1979 04  49
 1979 05  7510.
 1979 06  674·
 1979 07  94
 1979 08  744.
 1979 09  808·
 1979 10  625·
 1979 11  43·
 1979 12  944.
 1980 01 324.
 1980 02 537.
 1980 03 776.
 1980 04 914·
 1980 05 464.
 1980 06 83
 1980 07 903·
 1980 08 725.
 1980 09 581.
 1980 10 22
 1980 11 425.
 1980 12 688·
 1981 01  319·
 1981 02  653.
 1981 03  597.
 1981 04  364·
 1981 05  545.
 1981 06  298.
 1981 07  913.
 1981 08  581.
 1981 09  394.
 1981 10  593.
 1981 11  132.
 1981 12  402·
 1982 01 244.
 1982 02 255·
 1982 03 2717.
 1982 04 1312.
 1982 05 725.
 1982 06 212.
 1982 07 572·
 1982 08 351·
 1982 09 714·
 1982 10 651·
 1982 11 531.
 1982 12 881·
 1983 01  342·
 1983 02  23·
 1983 03  925·
 1983 04  774.
 1983 05  996·
 1983 06  14.
 1983 07  739·
 1983 08  344.
 1983 09  283.
 1983 10  565·
 1983 11  22
 1983 12  164.
 1984 02 102.
 1984 03 86
 1984 04 902·
 1984 05 54·
 1984 06 576·
 1984 07 357.
 1984 08 516.
 1984 09 86.
 1984 10 73.
 1984 11 73
 1984 12 68·
 1985 01  558.
 1985 02  233·
 1985 03  94
 1985 04  801·
 1985 05  4
 1985 06  94
 1985 07  177.
 1985 08  25
 1985 09  363.
 1985 10  31
 1985 11  853.
 1985 12  152·
 1986 01 583·
 1986 02 734.
 1986 04 685·
 1986 05 501·
 1986 06 13·
 1986 07 833·
 1986 08 614·
 1986 09 568·
 1986 10 237·
 1986 11 497·
 1986 12 827·
 1987 01  845.
 1987 02  49.
 1987 03  839·
 1987 04  7610.
 1987 05  96.
 1987 06  523.
 1987 07  239·
 1987 08  117·
 1987 09  318·
 1987 10  984·
 1987 11  331.
 1987 12  822·
 1988 01 75
 1988 02 992.
 1988 03 992·
 1988 04 815.
 1988 05 9220·
 1988 06 366.
 1988 07 365.
 1988 08 33
 1988 09 582·
 1988 10 163·
 1988 11 814.
 1989 01  265·
 1989 02  736.
 1989 03  7110·
 1989 04  9710.
 1989 05  814.
 1989 06  6110.
 1989 07  577.
 1989 08  715.
 1989 09  187.
 1989 10  74
 1989 11  565.
 1989 12  174.
 1990 01 8010.
 1990 02 883·
 1990 03 749·
 1990 04 726.
 1990 05 389·
 1990 06 1
 1990 07 4412·
 1990 08 05.
 1990 09 843·
 1990 10 406·
 1990 11 2112.
 1990 12 885.
 1991 01  3813·
 1991 02  557·
 1991 03  884.
 1991 04  493.
 1991 05  455.
 1991 06  225.
 1991 08  514.
 1991 09  229.
 1991 10  726.
 1991 11  4113.
 1991 12  427·
 1992 01 688·
 1992 02 156·
 1992 03 377·
 1992 04 178.
 1992 05 768.
 1992 06 939·
 1992 07 605·
 1992 08 5910.
 1992 09 598.
 1992 10 502·
 1992 11 877·
 1992 12 734·
 1993 01  555.
 1993 02  545.
 1993 03  174·
 1993 04  9111.
 1993 05  2610.
 1993 06  1
 1993 07  769.
 1993 08  7014.
 1993 09  6015.
 1993 10  8
 1993 11  149·
 1993 12  9211·
 1994 01 718.
 1994 02 213.
 1994 03 74·
 1994 04 633·
 1994 05 963.
 1994 06 8
 1994 07 552·
 1994 08 154·
 1994 09 984.
 1994 10 643·
 1994 11 835.
 1994 12 54·
 1995 01  652.
 1995 02  83.
 1995 03  423.
 1995 04  141.
 1995 05  106·
 1995 06  83
 1995 07  74·
 1995 08  48
 1995 09  703.
 1995 10  603.
 1995 11  792.
 1995 12  402·
 1996 01 92.
 1996 02 322·
 1996 03 831·
 1996 04 46
 1996 05 152.
 1996 07 184.
 1996 08 692·
 1996 09 482.
 1996 10 02.
 1996 11 621.
 1996 12 131.
 1997 01  520.
 1997 02  31·
 1997 03  344.
 1997 04  154·
 1997 05  916·
 1997 06  8610·
 1997 07  281·
 1997 08  02.
 1997 09  201·
 1997 10  372·
 1997 11  62
 1998 01 191·
 1998 02 213·
 1998 03 683·
 1998 04 827·
 1998 05 48
 1998 06 11.
 1998 07 194·
 1998 08 552.
 1998 09 872·
 1998 11 926.
 1998 12 518.
 1999 01  773.
 1999 02  606.
 1999 03  495·
 1999 04  546.
 1999 05  664.
 1999 06  194·
 1999 07  569·
 1999 08  387.
 1999 09  674·
 1999 10  394·
 1999 11  185·
 1999 12  433·
 2000 01 493·
 2000 02 203.
 2000 03 685·
 2000 04 326.
 2000 05 57.
 2000 06 886·
 2000 07 61
 2000 08 911.
 2000 09 561.
 2000 11 92
 2000 12 800·
 2001 01  356·
 2001 02  4414·
 2001 03  109·
 2001 04  308.
 2001 05  120.
 2001 06  4015·
 2001 07  405.
 2001 08  454·
 2001 09  523·
 2001 10  376.
 2002 01 83·
 2002 02 795.
 2002 03 755.
 2002 04 5510·
 2002 05 657.
 2002 06 164.
 2002 07 844·
 2002 08 372.
 2002 10 863·
 2002 11 61
 2003 07  17
 2003 08  538.
 2003 09  713.
 2003 10  471·
 2003 12  365·
 2004 01 973·
 2004 02 465·
 2004 04 301.
 2004 05 301.
 2004 06 891.
 2004 09 611.
 2004 11 9110·
 2004 12 106·
 2005 01  719.
 2005 02  929.
 2005 03  373·
 2005 04  167·
 2005 05  144·
 2005 06  393.
 2005 07  06.
 2005 08  10
 2005 09  119.
 2005 10  278.
 2005 11  369·
 2005 12  807·
 2006 01 83
 2006 02 71·
 2006 03 283.
 2006 05 393·
 2006 06 713·
 2006 08 533.
 2006 09 815.
 2006 10 245·
 2006 11 475·
 2006 12 687.
 2007 01  283·
 2007 02  995·
 2007 03  45·
 2007 04  752·
 2007 05  251.
 2007 06  517·
 2007 07  618·
 2007 08  26
 2007 09  534.
 2007 10  947·
 2007 11  631·
 2007 12  951.
 2008 01 205·
 2008 02 655·
 2008 03 784.
 2008 04 832·
 2008 05 573.
 2008 06 275·
 2008 07 00·
 2008 10 164.
 2008 11 203.
 2009 02  685.
 2009 03  502.
 2009 04  444.
 2009 05  922.
 2009 06  1
 2009 07  702·
 2009 08  424.
 2009 09  784·
 2009 10  644.
 2009 11  313.
 2009 12  103·
 2010 01 113·
 2010 02 196.
 2010 03 256.
 2010 04 752·
 2010 05 470·
 2010 06 565.
 2010 07 734·
 2010 08 860·
 2010 09 680.
 2010 10 853·
 2010 11 193·
 2010 12 192·
 2011 01  811·
 2011 02  464.
 2011 03  314·
 2011 04  740.
 2011 05  163.
 2011 06  23·
 2011 07  43·
 2011 08  763.
 2011 09  310·
 2011 10  391.
 2011 11  560·
 2011 12  779.
 2012 01 86·
 2012 02 723.
 2012 03 3310.
 2012 04 519·
 2012 05 527.
 2012 06 378·
 2012 07 32·
 2012 08 994·
 2012 09 962·
 2012 10 982.
 2012 11 612·
 2012 12 453.
 2013 01  973·
 2013 02  43
 2013 03  256·
 2013 04  424.
 2013 05  352.
 2013 06  85
 2013 07  39
 2013 08  633.
 2013 09  181·
 2013 10  61
 2013 11  730.
 2013 12  101.
 2014 01 7712·
 2014 02 3514.
 2014 03 218.
 2014 04 712.
 2014 05 691.
 2014 06 941.
 2014 07 36.
 2014 08 66.
 2014 09 757.
 2014 10 513.
 2014 11 610.
 2014 12 812.
 2015 01  3
 2015 02  4410.
 2015 03  66
 2015 04  325·
 2015 05  831·
 2015 06  361.
 2015 07  115·
 2015 08  874.
 2015 09  734.
 2015 10  14
 2015 11  166·
 2015 12  934·
 2016 01 540.
 2016 02 934·
 2016 03 240·
 2016 04 280.
 2016 05 320·
 2016 06 90.
 2016 07 57.
 2016 08 923·
 2016 09 409·
 2016 10 263.
 2016 11 543·
 2016 12 90.
 2017 01  340.
 2017 02  313.
 2017 03  88


 2017 04  300.
 2017 05  950·
 2017 06  38
 2017 07  531.
 2017 08  310.
 2017 09  311·
 2017 10  830.
 2017 11  173.
 2017 12  120.
 2018 01 724·
 2018 02 318.
 2018 03 756·
 2018 04 983·
 2018 05 763·
 2018 06 691.
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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







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 65 years and over, 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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