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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 4717·
 1976 07 9819·
 1976 08 8217.
 1976 09 2611·
 1976 10 8211·
 1976 11 46.
 1976 12 485·
 1977 01  04.
 1977 02  275·
 1977 03  524·
 1977 04  596.
 1977 05  1819·
 1977 06  3226·
 1977 07  2418.
 1977 08  2818·
 1977 09  21
 1977 10  747.
 1977 11  2711.
 1977 12  928.
 1978 01 808.
 1978 02 51
 1978 03 919.
 1978 04 1511·
 1978 05 9012·
 1978 06 9125.
 1978 07 7522·
 1978 08 8316.
 1978 09 6811.
 1978 10 429·
 1978 11 593·
 1978 12 114·
 1979 01  597.
 1979 02  81
 1979 03  507.
 1979 04  369.
 1979 05  3214.
 1979 06  721.
 1979 07  7922·
 1979 08  2018·
 1979 09  829·
 1979 10  479·
 1979 11  414·
 1979 12  536·
 1980 01 286·
 1980 02 506·
 1980 03 69.
 1980 04 4615·
 1980 05 137·
 1980 06 9315.
 1980 07 9212·
 1980 08 388.
 1980 09 77·
 1980 10 7416·
 1980 11 939.
 1980 12 914·
 1981 01  46.
 1981 02  218.
 1981 03  657.
 1981 04  937·
 1981 05  236.
 1981 06  8312.
 1981 07  9212·
 1981 08  5813·
 1981 09  87.
 1981 10  3512.
 1981 11  783.
 1981 12  237·
 1982 01 288.
 1982 02 7813·
 1982 03 5612·
 1982 04 515·
 1982 05 797.
 1982 06 3816.
 1982 07 8316.
 1982 08 3023.
 1982 09 7724.
 1982 10 645.
 1982 11 407·
 1982 12 7210·
 1983 01  69
 1983 02  327·
 1983 03  348·
 1983 04  1613·
 1983 05  2310·
 1983 06  4318·
 1983 07  9615·
 1983 08  2513·
 1983 09  32
 1983 10  229.
 1983 11  833·
 1983 12  878.
 1984 01 1713.
 1984 02 195·
 1984 03 763.
 1984 04 133·
 1984 05 2111.
 1984 06 108·
 1984 07 8311·
 1984 08 4314.
 1984 09 1410.
 1984 12 952·
 1985 02  354.
 1985 03  3910·
 1985 04  898.
 1985 05  998.
 1985 06  899.
 1985 07  8914.
 1985 08  6711·
 1985 09  739·
 1985 10  263·
 1985 11  64·
 1985 12  905.
 1986 01 922·
 1986 02 521.
 1986 03 283.
 1986 04 285·
 1986 05 574·
 1986 06 05·
 1986 07 187.
 1986 08 758·
 1986 09 935.
 1986 10 2710·
 1986 11 637.
 1986 12 512·
 1987 01  514·
 1987 02  132·
 1987 03  773·
 1987 04  991.
 1987 05  53.
 1987 06  66
 1987 07  973.
 1987 08  896.
 1987 09  572·
 1987 10  161·
 1987 11  86
 1987 12  152·
 1988 01 312.
 1988 02 224.
 1988 03 332·
 1988 04 957.
 1988 05 782.
 1988 06 633.
 1988 07 493.
 1988 08 751·
 1988 09 735·
 1988 10 483.
 1988 11 732·
 1988 12 224.
 1989 01  184.
 1989 02  75·
 1989 03  695·
 1989 04  336·
 1989 05  36
 1989 06  986.
 1989 07  237.
 1989 08  248.
 1989 09  792.
 1989 10  25.
 1989 11  485.
 1989 12  415·
 1990 01 22
 1990 02 254·
 1990 04 831·
 1990 06 532.
 1990 07 651·
 1990 08 991·
 1990 10 913.
 1991 01  544.
 1991 02  343.
 1991 03  816.
 1991 04  591.
 1991 05  631·
 1991 06  782.
 1991 08  532.
 1991 09  02.
 1991 10  241·
 1991 11  752.
 1992 01 212.
 1992 02 522·
 1992 03 73.
 1992 04 23
 1992 06 163·
 1992 07 781.
 1992 08 48.
 1992 09 494.
 1992 10 963.
 1992 11 6611.
 1992 12 372.
 1993 01  23.
 1993 02  423.
 1993 03  284.
 1993 04  484.
 1993 05  597·
 1993 06  617·
 1993 07  35·
 1993 08  78.
 1993 11  182.
 1993 12  842.
 1994 01 546.
 1994 02 82.
 1994 05 73.
 1994 06 681·
 1994 08 685.
 1994 09 710·
 1994 10 750.
 1994 11 95
 1994 12 593·
 1995 01  381·
 1995 02  970.
 1995 03  700·
 1995 04  63
 1995 07  80
 1995 08  752.
 1995 11  27
 1995 12  450.
 1996 01 910.
 1996 02 332·
 1996 03 216.
 1996 04 923.
 1996 07 894.
 1996 08 214.
 1996 09 359.
 1996 11 163.
 1996 12 195.
 1997 01  161.
 1997 02  740·
 1997 03  570·
 1997 04  512.
 1997 05  181.
 1997 06  710·
 1997 07  751.
 1997 08  771.
 1997 09  515·
 1997 10  827·
 1997 11  611.
 1997 12  180·
 1998 05 674·
 1998 07 883·
 1998 08 265·
 1998 09 171·
 1998 10 402·
 1998 11 97
 1999 03  82.
 1999 04  432·
 1999 07  723·
 1999 08  403·
 1999 09  70
 1999 10  921.
 1999 11  876.
 1999 12  733.
 2000 01 16·
 2000 02 817.
 2000 03 361·
 2000 04 793.
 2000 11 123.
 2000 12 553.
 2001 01  953.
 2001 02  643.
 2001 04  43
 2001 05  833.
 2001 06  633.
 2001 10  591·
 2001 11  551.
 2001 12  602·
 2002 01 667.
 2002 05 221.
 2002 08 370·
 2002 09 40·
 2002 10 550·
 2003 02  340.
 2003 03  10.
 2003 06  593.
 2003 07  43·
 2003 08  00.
 2003 09  860·
 2004 05 961.
 2004 06 150·
 2004 08 550.
 2004 09 543·
 2004 12 74.
 2005 03  120·
 2005 06  522.
 2005 07  932·
 2005 08  122·
 2006 02 476·
 2006 03 763·
 2006 04 173.
 2006 05 551·
 2006 07 942.
 2006 11 313·
 2007 04  622.
 2007 05  63.
 2007 06  533·
 2007 08  500.
 2007 11  932·
 2008 06 575.
 2009 03  514.
 2009 04  901·
 2009 06  964·
 2009 07  304.
 2009 08  380.
 2009 09  310·
 2009 10  850.
 2009 11  670.
 2009 12  880·
 2010 01 810.
 2010 02 970·
 2010 03 380·
 2010 04 34·
 2010 05 716.
 2010 06 966.
 2010 07 3710.
 2010 08 84·
 2010 09 583·
 2010 10 69
 2010 11 82
 2010 12 530.
 2011 01  243·
 2011 02  301.
 2011 03  201.
 2011 04  130.
 2011 05  750.
 2011 06  154·
 2011 07  170·
 2011 08  903·
 2011 09  43
 2011 10  893·
 2011 11  693.
 2011 12  80.
 2012 01 840.
 2012 02 382·
 2012 03 953.
 2012 04 170·
 2012 05 80
 2012 06 760·
 2012 07 39
 2012 08 940.
 2012 09 380.
 2012 10 411·
 2012 11 690.
 2012 12 380.
 2013 01  900.
 2013 02  960.
 2013 03  81
 2013 04  750.
 2013 05  910·
 2013 06  285.
 2013 07  924.
 2013 08  551·
 2013 09  251·
 2013 10  500·
 2013 11  490·
 2013 12  540.
 2014 01 96
 2014 02 1
 2014 03 18
 2014 04 720·
 2014 05 372·
 2014 06 430.
 2014 07 960·
 2014 08 350·
 2014 09 51·
 2014 10 640·
 2014 11 00·
 2014 12 92
 2015 01  820·
 2015 02  760·
 2015 03  75
 2015 04  190.
 2015 05  732.
 2015 06  196·
 2015 07  90
 2015 08  184.
 2015 09  104·
 2015 10  54
 2015 11  390.
 2015 12  121.
 2016 01 510.
 2016 02 700·
 2016 03 424.
 2016 04 53
 2016 05 770.
 2016 06 79


 2016 07 42
 2016 08 150·
 2016 09 940.
 2016 10 200·
 2016 11 9
 2016 12 00·
 2017 01  340.
 2017 02  550.
 2017 03  360.
 2017 04  320.
 2017 05  540.
 2017 06  721.
 2017 07  442·
 2017 08  620.
 2017 09  35
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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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