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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 25-34 years, Women: NSA
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 1976 06 2546·
 1976 07 9145·
 1976 08 6544·
 1976 09 3832.
 1976 10 2443.
 1976 11 3938.
 1976 12 131.
 1977 01  6020.
 1977 02  4524.
 1977 03  4133.
 1977 04  9553.
 1977 05  3868.
 1977 06  3964.
 1977 07  7965·
 1977 08  5855.
 1977 09  1433·
 1977 10  8140·
 1977 11  6143·
 1977 12  2930·
 1978 01 5925.
 1978 02 7231.
 1978 03 1739·
 1978 04 7235.
 1978 05 6637·
 1978 06 3760.
 1978 07 560.
 1978 08 7359·
 1978 09 5436.
 1978 10 2746·
 1978 11 535·
 1978 12 4534·
 1979 01  6827.
 1979 02  1721·
 1979 03  2530·
 1979 04  2732.
 1979 05  7748·
 1979 06  749·
 1979 07  9647·
 1979 08  8135·
 1979 09  7547.
 1979 10  2231.
 1979 11  7628·
 1979 12  9627.
 1980 01 8115.
 1980 02 1421·
 1980 03 4425.
 1980 04 8424.
 1980 05 3938·
 1980 06 5841·
 1980 07 937.
 1980 08 8350.
 1980 09 1839.
 1980 10 5358.
 1980 11 136.
 1980 12 5623·
 1981 01  1312·
 1981 02  2515.
 1981 03  7829.
 1981 04  9023·
 1981 05  4233·
 1981 06  2538.
 1981 07  2142.
 1981 08  045.
 1981 09  5043.
 1981 10  2947·
 1981 11  3647.
 1981 12  2234·
 1982 01 632·
 1982 02 3536.
 1982 03 5637.
 1982 04 1937.
 1982 05 444.
 1982 06 7151.
 1982 07 3744.
 1982 08 8132.
 1982 09 6332·
 1982 10 8531·
 1982 11 6119.
 1982 12 1817·
 1983 01  2821.
 1983 02  5523.
 1983 03  3336·
 1983 04  6931.
 1983 05  6725·
 1983 06  7941·
 1983 07  8747.
 1983 08  9838·
 1983 09  7431.
 1983 10  8427·
 1983 11  7822.
 1983 12  9118.
 1984 01 6915.
 1984 02 2025.
 1984 03 8820.
 1984 04 6323.
 1984 05 9631.
 1984 06 6129·
 1984 07 2535·
 1984 08 5023.
 1984 09 2422.
 1984 10 1024·
 1984 11 1821.
 1984 12 1614·
 1985 01  4810·
 1985 02  906.
 1985 03  2621·
 1985 04  4816·
 1985 05  8519·
 1985 06  5323.
 1985 07  2923.
 1985 08  6036.
 1985 09  8120·
 1985 10  7314·
 1985 11  3515·
 1985 12  8920.
 1986 01 519·
 1986 02 5115·
 1986 03 7516·
 1986 04 9818·
 1986 05 5023.
 1986 06 1316·
 1986 07 532·
 1986 08 7628.
 1986 09 3622·
 1986 10 919·
 1986 11 816·
 1986 12 3423·
 1987 01  712·
 1987 02  1514·
 1987 03  9013.
 1987 04  1123.
 1987 05  3221.
 1987 06  3027·
 1987 07  8224.
 1987 08  7016·
 1987 09  621.
 1987 10  808.
 1987 11  4111.
 1987 12  9910·
 1988 01 4714·
 1988 02 15
 1988 03 5016.
 1988 04 1025·
 1988 05 9918.
 1988 06 1221·
 1988 07 1428·
 1988 08 4225·
 1988 09 329·
 1988 10 6926.
 1988 11 6512.
 1988 12 5717·
 1989 01  4013.
 1989 02  1416.
 1989 03  5911.
 1989 04  4312.
 1989 05  4219·
 1989 06  9515.
 1989 07  7912.
 1989 08  1416·
 1989 09  8215.
 1989 10  8918.
 1989 11  3216·
 1989 12  67·
 1990 01 2912.
 1990 02 953·
 1990 03 4815·
 1990 04 8315·
 1990 05 7814·
 1990 06 4015.
 1990 07 8410.
 1990 08 3310.
 1990 09 477·
 1990 10 742·
 1990 11 227·
 1990 12 6913.
 1991 01  8110.
 1991 02  718.
 1991 03  695.
 1991 04  284.
 1991 05  4913·
 1991 06  3317.
 1991 07  569.
 1991 08  7411.
 1991 09  4512·
 1991 10  8415·
 1991 11  4012·
 1991 12  946.
 1992 01 886·
 1992 02 764.
 1992 03 36.
 1992 04 18.
 1992 05 2213.
 1992 06 8415.
 1992 07 5113·
 1992 08 349·
 1992 09 167.
 1992 10 710·
 1992 11 1511·
 1992 12 549·
 1993 01  657.
 1993 02  717·
 1993 03  537·
 1993 04  506·
 1993 05  8811·
 1993 06  288.
 1993 07  479.
 1993 08  3614·
 1993 09  2814.
 1993 10  517.
 1993 11  16.
 1993 12  476.
 1994 01 565.
 1994 02 42
 1994 03 504·
 1994 04 494·
 1994 05 642.
 1994 06 264.
 1994 07 483.
 1994 08 283.
 1994 09 73
 1994 10 532.
 1994 11 783·
 1994 12 971·
 1995 01  261·
 1995 02  991.
 1995 03  477.
 1995 04  954·
 1995 05  926.
 1995 06  645.
 1995 07  855.
 1995 08  834·
 1995 09  676.
 1995 10  735.
 1995 11  503·
 1995 12  512.
 1996 01 67
 1996 02 781·
 1996 03 231.
 1996 04 114·
 1996 05 392·
 1996 06 523.
 1996 07 113·
 1996 08 010.
 1996 09 5113.
 1996 10 979.
 1996 11 458·
 1996 12 822·
 1997 01  985.
 1997 03  385.
 1997 04  837·
 1997 05  45
 1997 06  97
 1997 07  265.
 1997 08  63.
 1997 09  12·
 1997 10  945.
 1997 11  357.
 1997 12  198.
 1998 01 894.
 1998 02 584·
 1998 03 672·
 1998 04 56
 1998 05 717·
 1998 06 821·
 1998 07 461·
 1998 08 733·
 1998 09 357.
 1998 10 874·
 1999 01  235.
 1999 02  51
 1999 03  941.
 1999 04  154.
 1999 08  744·
 1999 09  972·
 1999 10  862.
 1999 11  373.
 2000 05 982.
 2000 08 433·
 2000 09 742·
 2000 10 462.
 2001 03  210·
 2001 05  452·
 2001 08  452.
 2001 09  616·
 2001 10  944.
 2001 11  852·
 2001 12  133.
 2002 01 274·
 2002 02 922.
 2002 03 692.
 2002 04 166·
 2002 05 134.
 2002 06 153.
 2002 07 300·
 2003 03  163·
 2003 04  131.
 2003 10  891.
 2003 11  231·
 2003 12  10.
 2004 01 450·
 2004 02 640·
 2004 03 310·
 2004 04 850·
 2004 09 553.
 2004 10 162.
 2004 11 612·
 2005 05  54·
 2005 06  110·
 2005 07  443.
 2005 08  423·
 2005 09  233·
 2006 05 8
 2006 06 750·
 2006 08 344·
 2007 06  291·
 2007 07  640·
 2007 11  582·
 2007 12  162·
 2008 06 341·
 2008 07 241.
 2008 11 70
 2008 12 963.
 2009 01  774·
 2009 02  574.
 2009 03  101·
 2009 04  53.
 2009 06  200.
 2009 07  572.
 2009 08  32·
 2009 09  12·
 2009 10  520.
 2009 11  430·
 2009 12  10.
 2010 01 640.
 2010 02 854·
 2010 03 604·
 2010 04 795.
 2010 05 13·
 2010 06 570.
 2010 07 762.
 2010 08 360.
 2010 09 44
 2010 10 314.
 2010 11 852·
 2010 12 992·
 2011 01  492.
 2011 02  950.
 2011 03  70.
 2011 04  180.
 2011 05  990·
 2011 06  621.
 2011 07  860.
 2011 08  683·
 2011 09  00.
 2011 10  700.
 2011 11  910.
 2011 12  500·
 2012 01 830·
 2012 02 820.
 2012 03 170.
 2012 04 880·
 2012 05 50.
 2012 06 850.
 2012 07 810.
 2012 08 340.
 2012 09 483.
 2012 10 920.
 2012 11 290.
 2012 12 621.
 2013 01  181·
 2013 02  420.
 2013 03  290.
 2013 04  743.
 2013 05  470·
 2013 06  97
 2013 07  772·
 2013 08  94
 2013 09  924.
 2013 10  455.
 2013 11  900.
 2013 12  741.
 2014 01 341·
 2014 02 990·
 2014 03 130.
 2014 04 870.
 2014 05 810·
 2014 06 970.
 2014 07 150.
 2014 08 350·
 2014 09 621·
 2014 10 20.
 2014 11 900·
 2014 12 440·
 2015 01  362.
 2015 02  14·
 2015 03  584.
 2015 04  620·
 2015 05  840·
 2015 06  8
 2015 07  62
 2015 08  67
 2015 09  120.
 2015 10  610.
 2015 11  720·
 2015 12  58
 2016 01 530.
 2016 02 210.
 2016 03 82
 2016 04 600.
 2016 05 624·
 2016 06 78


 2016 07 112·
 2016 08 25
 2016 09 212.
 2016 10 442.
 2016 11 32.
 2016 12 270·
 2017 01  381·
 2017 02  570.
 2017 03  280.
 2017 04  670.
 2017 05  440·
 2017 06  800.
 2017 07  780·
 2017 08  70
 2017 09  94
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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, 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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