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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 years, Men: NSA
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 1976 06 9411·
 1976 07 8915·
 1976 08 4111·
 1976 09 507·
 1976 10 4610·
 1976 11 563·
 1976 12 116·
 1977 01  731.
 1977 02  835.
 1977 03  407.
 1977 04  218·
 1977 05  1312·
 1977 06  5516·
 1977 07  2214·
 1977 08  259.
 1977 09  153.
 1977 10  384·
 1977 11  103·
 1977 12  184·
 1978 01 4713.
 1978 02 339.
 1978 03 3513.
 1978 04 45
 1978 05 46·
 1978 06 648.
 1978 07 547·
 1978 08 937·
 1978 09 6
 1978 11 823.
 1978 12 498·
 1979 01  757.
 1979 02  95
 1979 03  628·
 1979 04  257.
 1979 05  2910.
 1979 06  416.
 1979 07  512·
 1979 08  1511·
 1979 09  186·
 1979 10  393.
 1979 11  375.
 1979 12  767.
 1980 01 3012.
 1980 02 86·
 1980 03 7
 1980 04 8810·
 1980 05 7718.
 1980 06 9115.
 1980 07 9115·
 1980 08 5916.
 1980 09 9821·
 1980 10 5818.
 1980 11 90
 1980 12 2113·
 1981 01  5519·
 1981 02  38·
 1981 03  289.
 1981 04  293.
 1981 05  375.
 1981 06  454.
 1981 07  57
 1981 08  663·
 1981 09  564.
 1981 10  285·
 1981 11  514·
 1981 12  386·
 1982 01 505·
 1982 02 2214·
 1982 03 1110.
 1982 04 7712·
 1982 05 8212.
 1982 06 205·
 1982 07 628·
 1982 08 398.
 1982 09 416·
 1982 10 4213.
 1982 11 556·
 1982 12 69.
 1983 01  3712.
 1983 02  3112·
 1983 03  65
 1983 05  865·
 1983 06  117.
 1983 08  58
 1983 09  939.
 1983 10  88.
 1983 11  2422.
 1983 12  1620·
 1984 01 6311·
 1984 02 3115.
 1984 03 6511.
 1984 04 2411·
 1984 05 2713·
 1984 06 3512·
 1984 07 4617·
 1984 08 2610.
 1984 09 6014.
 1984 10 288.
 1984 11 5
 1984 12 928.
 1985 01  62
 1985 02  4014.
 1985 03  513.
 1985 04  158.
 1985 05  583.
 1985 06  295.
 1985 07  356·
 1985 08  153.
 1985 10  991.
 1985 11  775·
 1985 12  62·
 1986 01 364.
 1986 03 601.
 1986 04 895·
 1986 05 572.
 1986 07 489·
 1986 08 4213.
 1986 09 975.
 1986 10 514.
 1986 11 437·
 1986 12 705·
 1987 01  593.
 1987 02  765.
 1987 03  423.
 1987 04  944.
 1987 05  563·
 1987 06  445.
 1987 07  885·
 1987 08  905.
 1987 09  94
 1987 10  938.
 1987 11  513·
 1987 12  583·
 1988 01 53.
 1988 02 865.
 1988 03 252.
 1988 04 246.
 1988 05 46
 1988 06 1216·
 1988 07 28
 1988 08 3810·
 1988 09 998.
 1988 10 831·
 1988 11 65.
 1988 12 751.
 1989 01  694.
 1989 02  377.
 1989 03  273·
 1989 04  366.
 1989 05  895·
 1989 06  361.
 1989 07  852.
 1989 08  469.
 1989 09  151.
 1989 10  701·
 1989 12  01.
 1990 01 562·
 1990 02 296.
 1990 03 506.
 1990 04 154.
 1990 05 41
 1990 06 385·
 1990 07 1410.
 1990 08 06·
 1990 09 06.
 1990 10 732·
 1990 11 265.
 1990 12 494·
 1991 01  614·
 1991 02  902·
 1991 03  735.
 1991 04  811·
 1991 05  731.
 1991 06  73
 1991 07  684·
 1991 08  407.
 1991 09  116·
 1991 10  261.
 1991 11  493.
 1992 01 957·
 1992 03 76
 1992 04 827.
 1992 05 808.
 1992 06 412·
 1992 07 944·
 1992 08 9810.
 1992 09 475·
 1992 11 972·
 1992 12 142·
 1993 01  5414·
 1993 02  6417·
 1993 03  64.
 1993 04  128·
 1993 05  587·
 1993 06  683.
 1993 07  3813.
 1993 08  886·
 1993 09  425.
 1993 10  231·
 1993 11  879.
 1993 12  691·
 1994 01 612.
 1994 02 170·
 1994 03 724.
 1994 04 47·
 1994 06 995·
 1994 07 619·
 1994 08 3811·
 1994 09 684.
 1994 10 603·
 1994 11 953.
 1994 12 533·
 1995 01  625·
 1995 02  773·
 1995 03  812·
 1995 04  121.
 1995 05  122·
 1995 06  70·
 1995 07  71·
 1995 08  330.
 1995 09  676.
 1995 10  312·
 1995 11  862·
 1996 01 612.
 1996 02 45·
 1996 03 561·
 1996 04 565.
 1996 05 664.
 1996 06 2211·
 1996 07 132.
 1996 08 791.
 1996 09 400.
 1996 10 470.
 1996 11 590·
 1996 12 445·
 1997 02  45.
 1997 03  307.
 1997 04  76
 1997 05  634·
 1997 06  11.
 1997 07  456·
 1997 08  7115.
 1997 10  745.
 1997 11  1
 1997 12  940·
 1998 02 74
 1998 03 419.
 1998 04 974·
 1998 05 15.
 1998 06 434.
 1998 07 514.
 1998 10 92·
 1999 01  175.
 1999 02  601.
 1999 03  171.
 1999 04  811·
 1999 06  17
 1999 07  307·
 1999 08  765·
 1999 09  839.
 1999 10  24.
 1999 11  863.
 1999 12  934·
 2000 06 710.
 2000 07 976.
 2000 08 846·
 2000 09 545·
 2000 10 755.
 2000 11 529·
 2000 12 6
 2001 01  7311·
 2001 02  287·
 2001 03  4310.
 2001 04  593·
 2001 06  878·
 2001 07  375·
 2001 08  712.
 2001 09  733·
 2001 11  59
 2001 12  97
 2002 02 601.
 2002 03 71.
 2002 04 785·
 2002 05 252·
 2002 10 614.
 2002 11 415.
 2002 12 561.
 2003 02  661.
 2003 03  503·
 2003 04  823·
 2003 05  303.
 2003 06  892·
 2003 08  271·
 2003 09  614.
 2003 11  651.
 2003 12  895·
 2004 01 16
 2004 02 368.
 2004 03 471.
 2004 04 850.
 2004 05 702.
 2004 06 885.
 2004 07 910·
 2004 12 202·
 2005 01  623.
 2005 02  242.
 2005 03  323·
 2005 04  641.
 2005 05  941.
 2005 06  755·
 2005 10  353.
 2005 11  114.
 2005 12  903.
 2006 01 973·
 2006 02 883·
 2006 06 804.
 2006 07 22·
 2006 08 74
 2006 09 32·
 2006 12 152.
 2007 01  48.
 2007 02  106·
 2007 03  176.
 2007 04  856·
 2007 05  980.
 2007 06  387.
 2007 07  958·
 2007 08  865.
 2007 09  70.
 2007 10  152.
 2007 11  242.
 2007 12  341·
 2008 01 832·
 2008 02 225·
 2008 03 172.
 2008 04 767·
 2008 05 2
 2008 06 661.
 2008 08 115.
 2008 09 803.
 2008 10 633.
 2008 11 783.
 2008 12 706·
 2009 02  394·
 2009 05  915.
 2009 06  154·
 2009 07  812·
 2009 08  745·
 2009 09  384.
 2009 10  58
 2009 11  583·
 2009 12  281.
 2010 01 79
 2010 02 150·
 2010 03 380.
 2010 04 714·
 2010 05 142.
 2010 06 1713.
 2010 07 8411.
 2010 08 964.
 2010 09 681.
 2010 10 212.
 2010 11 842.
 2010 12 240.
 2011 01  934.
 2011 02  80.
 2011 03  510.
 2011 04  977.
 2011 05  623.
 2011 06  845.
 2011 07  232.
 2011 08  851.
 2011 09  771.
 2011 10  83
 2011 11  620.
 2011 12  823·
 2012 01 632·
 2012 02 595.
 2012 03 584.
 2012 04 810.
 2012 05 71
 2012 06 955.
 2012 07 214·
 2012 08 67.
 2012 09 7510.
 2012 10 980·
 2012 11 91
 2012 12 460·
 2013 01  763.
 2013 02  980.
 2013 03  31
 2013 04  220·
 2013 05  00.
 2013 06  544.
 2013 07  274.
 2013 08  523·
 2013 09  97
 2013 10  450.
 2013 11  948.
 2013 12  8211·
 2014 01 4316·
 2014 02 8019.
 2014 03 6812.
 2014 04 794·
 2014 05 374.
 2014 06 89
 2014 07 135.
 2014 08 404·
 2014 09 50·
 2014 10 300.
 2014 11 170·
 2014 12 810·
 2015 01  980.
 2015 02  840.
 2015 03  930·
 2015 04  483·
 2015 05  910·
 2015 06  571.
 2015 07  783.
 2015 08  104·
 2015 09  840.
 2015 10  810.
 2015 11  364.
 2015 12  610.
 2016 01 30.
 2016 02 131.
 2016 03 531.
 2016 04 202.
 2016 05 985·
 2016 06 353.


 2016 07 440.
 2016 08 313·
 2016 09 440.
 2016 10 534.
 2016 11 464.
 2016 12 644·
 2017 01  438·
 2017 02  985.
 2017 03  223.
 2017 04  113.
 2017 05  180.
 2017 06  280·
 2017 07  60
 2017 08  944·
 2017 09  22
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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

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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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