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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 3917·
 1976 07 3019.
 1976 08 3917.
 1976 09 3711·
 1976 10 2111·
 1976 11 88
 1976 12 37
 1977 01  994.
 1977 02  835.
 1977 03  574·
 1977 04  496·
 1977 05  7119.
 1977 06  7326·
 1977 07  1918.
 1977 08  8718·
 1977 09  998.
 1977 10  687.
 1977 11  8011.
 1977 12  898·
 1978 01 518·
 1978 02 696·
 1978 03 729·
 1978 04 1911·
 1978 05 2212·
 1978 06 9925·
 1978 07 5122·
 1978 08 6316.
 1978 09 3011·
 1978 10 109·
 1978 11 03.
 1978 12 354·
 1979 01  217.
 1979 02  783.
 1979 03  247.
 1979 04  739.
 1979 05  6214.
 1979 06  221.
 1979 07  5622.
 1979 08  4018.
 1979 09  499.
 1979 10  89·
 1979 11  5214·
 1979 12  236.
 1980 01 996·
 1980 02 476.
 1980 03 949·
 1980 04 3615·
 1980 05 597.
 1980 06 9315·
 1980 07 8812.
 1980 08 158.
 1980 09 957.
 1980 10 4716·
 1980 11 66
 1980 12 264.
 1981 01  46·
 1981 02  358.
 1981 03  857·
 1981 04  547·
 1981 05  36.
 1981 06  712.
 1981 07  2612·
 1981 08  1313·
 1981 09  387.
 1981 10  3812.
 1981 11  963·
 1981 12  41
 1982 01 768.
 1982 02 2813·
 1982 03 2612.
 1982 04 15.
 1982 05 137·
 1982 06 416.
 1982 07 7416.
 1982 08 8023.
 1982 09 6724·
 1982 10 155.
 1982 11 207.
 1982 12 9210.
 1983 01  839·
 1983 02  387.
 1983 03  738·
 1983 04  7513·
 1983 05  2910·
 1983 06  7118.
 1983 07  6215.
 1983 08  9013.
 1983 09  09.
 1983 10  41
 1983 11  453·
 1983 12  278.
 1984 01 1613·
 1984 02 985.
 1984 03 33·
 1984 04 993.
 1984 05 1911.
 1984 06 188.
 1984 07 4411·
 1984 08 4214.
 1984 09 8010.
 1984 12 02.
 1985 02  984.
 1985 03  2010.
 1985 04  928·
 1985 05  718·
 1985 06  239.
 1985 07  2014.
 1985 08  7411.
 1985 09  809·
 1985 10  993·
 1985 11  574.
 1985 12  715.
 1986 01 32·
 1986 02 341·
 1986 03 673·
 1986 04 525.
 1986 05 414.
 1986 06 605·
 1986 07 147·
 1986 08 118·
 1986 09 18
 1986 10 3210·
 1986 11 847.
 1986 12 672.
 1987 01  864.
 1987 02  332.
 1987 03  923.
 1987 04  651·
 1987 05  193·
 1987 06  692.
 1987 07  763·
 1987 08  726·
 1987 09  182.
 1987 10  721.
 1987 11  972.
 1987 12  852·
 1988 01 82.
 1988 02 984·
 1988 03 442·
 1988 04 217.
 1988 05 412.
 1988 06 303·
 1988 07 303·
 1988 08 24
 1988 09 905.
 1988 10 73
 1988 11 932·
 1988 12 654·
 1989 01  564·
 1989 02  605·
 1989 03  955·
 1989 04  376·
 1989 05  662·
 1989 06  466.
 1989 07  24
 1989 08  59
 1989 09  692.
 1989 10  155.
 1989 11  955.
 1989 12  755.
 1990 01 413·
 1990 02 71
 1990 04 43
 1990 06 552·
 1990 07 811.
 1990 08 48
 1990 10 323·
 1991 01  924·
 1991 02  17
 1991 03  16.
 1991 04  511.
 1991 05  71·
 1991 06  972.
 1991 08  122·
 1991 09  112·
 1991 10  421·
 1991 11  972.
 1992 01 892·
 1992 02 51
 1992 03 673.
 1992 04 181·
 1992 06 613.
 1992 07 341·
 1992 08 778·
 1992 09 854·
 1992 10 87
 1992 11 4811.
 1992 12 892·
 1993 01  483.
 1993 02  483.
 1993 03  54·
 1993 04  504.
 1993 05  837.
 1993 06  507.
 1993 07  435·
 1993 08  278.
 1993 11  912.
 1993 12  262.
 1994 01 266·
 1994 02 14
 1994 05 953·
 1994 06 311.
 1994 08 415·
 1994 09 320·
 1994 10 480·
 1994 11 474·
 1994 12 13.
 1995 01  241.
 1995 02  250.
 1995 03  810·
 1995 04  431.
 1995 07  590·
 1995 08  252.
 1995 11  650·
 1995 12  320·
 1996 01 310.
 1996 02 742·
 1996 03 566.
 1996 04 543.
 1996 07 604.
 1996 08 234.
 1996 09 349.
 1996 11 23
 1996 12 895.
 1997 01  461.
 1997 02  60·
 1997 03  770.
 1997 04  882.
 1997 05  451·
 1997 06  50·
 1997 07  781.
 1997 08  51
 1997 09  455·
 1997 10  877·
 1997 11  141.
 1997 12  970.
 1998 05 964.
 1998 07 333.
 1998 08 985·
 1998 09 701·
 1998 10 732.
 1998 11 513.
 1999 03  692.
 1999 04  402.
 1999 07  773·
 1999 08  713.
 1999 09  884·
 1999 10  01.
 1999 11  346·
 1999 12  513·
 2000 01 446.
 2000 02 697.
 2000 03 931.
 2000 04 713.
 2000 11 50
 2000 12 933·
 2001 01  303.
 2001 02  393·
 2001 04  443·
 2001 05  393·
 2001 06  463·
 2001 10  871·
 2001 11  881.
 2001 12  22·
 2002 01 657·
 2002 05 711·
 2002 08 700.
 2002 09 10·
 2002 10 390·
 2003 02  720·
 2003 03  40·
 2003 06  813.
 2003 07  423.
 2003 08  970.
 2003 09  270.
 2004 05 101.
 2004 06 760·
 2004 08 790.
 2004 09 23·
 2004 12 834.
 2005 03  640.
 2005 06  732.
 2005 07  172·
 2005 08  182.
 2006 02 596.
 2006 03 613.
 2006 04 853·
 2006 05 611.
 2006 07 352·
 2006 11 493.
 2007 04  442·
 2007 05  793.
 2007 06  923·
 2007 08  710.
 2007 11  562·
 2008 06 675.
 2009 03  564·
 2009 04  811·
 2009 06  104·
 2009 07  454.
 2009 08  780.
 2009 09  620.
 2009 10  180.
 2009 11  560.
 2009 12  32
 2010 01 21
 2010 02 190.
 2010 03 700·
 2010 04 204·
 2010 05 886.
 2010 06 746.
 2010 07 8110·
 2010 08 664·
 2010 09 223·
 2010 10 733.
 2010 11 73.
 2010 12 210.
 2011 01  23·
 2011 02  281·
 2011 03  931.
 2011 04  600·
 2011 05  360·
 2011 06  77
 2011 07  90·
 2011 08  843.
 2011 09  563·
 2011 10  823.
 2011 11  473·
 2011 12  180.
 2012 01 190·
 2012 02 322.
 2012 03 283·
 2012 04 130·
 2012 05 53.
 2012 06 400·
 2012 07 961.
 2012 08 43
 2012 09 210.
 2012 10 431·
 2012 11 190.
 2012 12 100·
 2013 01  00.
 2013 02  50.
 2013 03  933.
 2013 04  380.
 2013 05  970·
 2013 06  135.
 2013 07  354.
 2013 08  781.
 2013 09  951·
 2013 10  790.
 2013 11  900·
 2013 12  60.
 2014 01 00.
 2014 02 430.
 2014 03 280.
 2014 04 220.
 2014 05 442·
 2014 06 67
 2014 07 420.
 2014 08 500.
 2014 09 831·
 2014 10 380.
 2014 11 510.
 2014 12 430·
 2015 01  990.
 2015 02  710.
 2015 03  00·
 2015 04  740.
 2015 05  992·
 2015 06  16.
 2015 07  586.
 2015 08  45
 2015 09  144·
 2015 10  940·
 2015 11  190.
 2015 12  811·
 2016 01 00·
 2016 02 35
 2016 03 24.
 2016 04 310.
 2016 05 410.
 2016 06 390.
 2016 07 520.
 2016 08 730.


 2016 09 410·
 2016 10 43
 2016 11 360·
 2016 12 50.
 2017 01  340.
 2017 02  100·
 2017 03  500.
 2017 04  530·
 2017 05  74
 2017 06  281.
 2017 07  132·
 2017 08  690.
 2017 09  454.
 2017 10  90·
 2017 11  690.
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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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