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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years, Women: NSA
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 1976 06 9817.
 1976 07 5519.
 1976 08 9517·
 1976 09 4111·
 1976 10 3711·
 1976 11 326·
 1976 12 765·
 1977 01  474·
 1977 02  65.
 1977 03  71
 1977 04  19
 1977 05  1419.
 1977 06  5326·
 1977 07  5218·
 1977 08  4018·
 1977 09  868.
 1977 10  557·
 1977 11  8311.
 1977 12  748·
 1978 01 338.
 1978 02 136·
 1978 03 949·
 1978 04 8511.
 1978 05 4812·
 1978 06 5025.
 1978 07 4322·
 1978 08 6216.
 1978 09 5111·
 1978 10 199.
 1978 11 113.
 1978 12 164·
 1979 01  867·
 1979 02  933.
 1979 03  57.
 1979 04  869.
 1979 05  2214·
 1979 06  7421.
 1979 07  5722·
 1979 08  3418.
 1979 09  539·
 1979 10  879.
 1979 11  2214.
 1979 12  506.
 1980 01 986.
 1980 02 836.
 1980 03 839·
 1980 04 4415.
 1980 05 27·
 1980 06 3615.
 1980 07 4712.
 1980 08 568·
 1980 09 337.
 1980 10 4716·
 1980 11 459·
 1980 12 484·
 1981 01  866.
 1981 02  428·
 1981 03  33
 1981 04  8
 1981 05  806·
 1981 06  7112.
 1981 07  9312.
 1981 08  5013·
 1981 09  597.
 1981 10  912·
 1981 11  333.
 1981 12  107·
 1982 01 928.
 1982 02 5713.
 1982 03 8312·
 1982 04 515.
 1982 05 737·
 1982 06 4016·
 1982 07 016·
 1982 08 6323·
 1982 09 2224.
 1982 10 85.
 1982 11 667.
 1982 12 5710·
 1983 01  829.
 1983 02  377.
 1983 03  88
 1983 04  7113.
 1983 05  2310.
 1983 06  2818·
 1983 07  9715.
 1983 08  6913·
 1983 09  39
 1983 10  59.
 1983 11  493.
 1983 12  388·
 1984 01 4913·
 1984 02 195.
 1984 03 273.
 1984 04 913.
 1984 05 9611·
 1984 06 468.
 1984 07 3711.
 1984 08 6714·
 1984 09 5210.
 1984 12 852·
 1985 02  114.
 1985 03  2710.
 1985 04  88·
 1985 05  638.
 1985 06  59.
 1985 07  6014·
 1985 08  8511.
 1985 09  299.
 1985 10  1
 1985 11  784.
 1985 12  275·
 1986 01 592·
 1986 02 61.
 1986 03 203.
 1986 04 2
 1986 05 544.
 1986 06 515.
 1986 07 497.
 1986 08 68.
 1986 09 38
 1986 10 9310.
 1986 11 52
 1986 12 572·
 1987 01  634.
 1987 02  132·
 1987 03  423.
 1987 04  991.
 1987 05  33.
 1987 06  192.
 1987 07  573.
 1987 08  16·
 1987 09  592·
 1987 10  411.
 1987 11  602.
 1987 12  582.
 1988 01 562.
 1988 02 374.
 1988 03 392·
 1988 04 887.
 1988 05 462·
 1988 06 883.
 1988 07 73.
 1988 08 361·
 1988 09 25.
 1988 10 13.
 1988 11 22·
 1988 12 714.
 1989 01  264.
 1989 02  7
 1989 03  865.
 1989 04  88
 1989 05  422·
 1989 06  636·
 1989 07  487.
 1989 08  48.
 1989 09  2
 1989 10  515.
 1989 11  05.
 1989 12  655.
 1990 01 813.
 1990 02 774·
 1990 04 801.
 1990 06 392·
 1990 07 791.
 1990 08 731.
 1990 10 523·
 1991 01  21
 1991 02  213.
 1991 03  966·
 1991 04  21·
 1991 05  301·
 1991 06  582·
 1991 08  272.
 1991 09  45
 1991 10  101.
 1991 11  652·
 1992 01 732.
 1992 02 172.
 1992 03 303.
 1992 04 431·
 1992 06 653.
 1992 07 821.
 1992 08 848·
 1992 09 174·
 1992 10 613.
 1992 11 2711.
 1992 12 912.
 1993 01  373·
 1993 02  41
 1993 03  674·
 1993 04  964.
 1993 05  807·
 1993 06  137·
 1993 07  375.
 1993 08  678·
 1993 11  442.
 1993 12  7
 1994 01 26.
 1994 02 02.
 1994 05 563·
 1994 06 82
 1994 08 485·
 1994 09 120·
 1994 10 660.
 1994 11 184.
 1994 12 903.
 1995 01  48
 1995 02  490.
 1995 03  220·
 1995 04  651.
 1995 07  780·
 1995 08  62·
 1995 11  250.
 1995 12  360.
 1996 01 940.
 1996 02 632.
 1996 03 856.
 1996 04 903.
 1996 07 184.
 1996 08 68
 1996 09 83
 1996 11 41
 1996 12 915.
 1997 01  99
 1997 02  250.
 1997 03  270.
 1997 04  852·
 1997 05  551·
 1997 06  430·
 1997 07  101·
 1997 08  93
 1997 09  625.
 1997 10  957·
 1997 11  781·
 1997 12  330.
 1998 05 704·
 1998 07 613.
 1998 08 44
 1998 09 511.
 1998 10 542.
 1998 11 473.
 1999 03  47
 1999 04  152.
 1999 07  153.
 1999 08  873.
 1999 09  484.
 1999 10  191·
 1999 11  796.
 1999 12  363·
 2000 01 36
 2000 02 837.
 2000 03 951.
 2000 04 763·
 2000 11 243.
 2000 12 51
 2001 01  393.
 2001 02  143.
 2001 04  503·
 2001 05  923.
 2001 06  123.
 2001 10  811·
 2001 11  761·
 2001 12  02·
 2002 01 387.
 2002 05 351·
 2002 08 900·
 2002 09 940.
 2002 10 690·
 2003 02  550·
 2003 03  60.
 2003 06  183.
 2003 07  793.
 2003 08  500.
 2003 09  610·
 2004 05 421·
 2004 06 700.
 2004 08 510·
 2004 09 183.
 2004 12 594·
 2005 03  66
 2005 06  152·
 2005 07  652.
 2005 08  892·
 2006 02 176·
 2006 03 223·
 2006 04 153·
 2006 05 76
 2006 07 02.
 2006 11 813.
 2007 04  62.
 2007 05  883.
 2007 06  143.
 2007 08  210.
 2007 11  0
 2008 06 215.
 2009 03  864.
 2009 04  11·
 2009 06  864.
 2009 07  944·
 2009 08  640·
 2009 09  20.
 2009 10  770.
 2009 11  490.
 2009 12  260.
 2010 01 300.
 2010 02 90·
 2010 03 580.
 2010 04 704.
 2010 05 176·
 2010 06 476.
 2010 07 1310·
 2010 08 234·
 2010 09 203.
 2010 10 783.
 2010 11 343.
 2010 12 350.
 2011 01  203·
 2011 02  151·
 2011 03  641·
 2011 04  810.
 2011 05  240.
 2011 06  964.
 2011 07  740.
 2011 08  623.
 2011 09  633.
 2011 10  83
 2011 11  583·
 2011 12  30.
 2012 01 950·
 2012 02 652.
 2012 03 333·
 2012 04 550.
 2012 05 13·
 2012 06 550·
 2012 07 451.
 2012 08 920.
 2012 09 870·
 2012 10 901·
 2012 11 630·
 2012 12 160·
 2013 01  850.
 2013 02  340.
 2013 03  813.
 2013 04  510.
 2013 05  520.
 2013 06  735.
 2013 07  184·
 2013 08  491·
 2013 09  691.
 2013 10  220.
 2013 11  180·
 2013 12  84
 2014 01 440.
 2014 02 180.
 2014 03 500·
 2014 04 560.
 2014 05 72.
 2014 06 240·
 2014 07 80.
 2014 08 920.
 2014 09 161.
 2014 10 270.
 2014 11 120.
 2014 12 420.
 2015 01  510.
 2015 02  420.
 2015 03  60·
 2015 04  800·
 2015 05  202·
 2015 06  46.
 2015 07  586.
 2015 08  8
 2015 09  554·
 2015 10  790.
 2015 11  640.
 2015 12  501·
 2016 01 110·
 2016 02 520·
 2016 03 414·
 2016 04 580·
 2016 05 710.
 2016 06 380·
 2016 07 350.
 2016 08 7
 2016 09 410·
 2016 10 74
 2016 11 140.
 2016 12 960.
 2017 01  53
 2017 02  230.
 2017 03  73


 2017 04  510.
 2017 05  630·
 2017 06  731.
 2017 07  312.
 2017 08  24
 2017 09  544.
 2017 10  370·
 2017 11  310·
 2017 12  881·
 2018 01 311.
 2018 02 521.
 2018 03 43
 2018 04 450·
 2018 05 260·
 2018 06 820.
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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: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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