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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 5746.
 1976 07 9945.
 1976 08 4944·
 1976 09 6632·
 1976 10 3343.
 1976 11 3538·
 1976 12 6031.
 1977 01  2420·
 1977 02  2624·
 1977 03  2033.
 1977 04  2253·
 1977 05  3168.
 1977 06  8564·
 1977 07  3565.
 1977 08  4755·
 1977 09  3033.
 1977 10  8640·
 1977 11  8643.
 1977 12  7430.
 1978 01 9225·
 1978 02 3031·
 1978 03 639.
 1978 04 6635·
 1978 05 937·
 1978 06 4160.
 1978 07 5160.
 1978 08 1059·
 1978 09 236·
 1978 10 7146·
 1978 11 235·
 1978 12 1934·
 1979 01  1427·
 1979 02  9521.
 1979 03  6730·
 1979 04  3232.
 1979 05  1448·
 1979 06  1249·
 1979 07  7747.
 1979 08  1135.
 1979 09  9747·
 1979 10  4931·
 1979 11  8828.
 1979 12  4427·
 1980 01 8215·
 1980 02 5621.
 1980 03 8325·
 1980 04 4424·
 1980 05 1338·
 1980 06 941.
 1980 07 6737·
 1980 08 4850·
 1980 09 5939.
 1980 10 658·
 1980 11 7336·
 1980 12 2123.
 1981 01  1412·
 1981 02  7515·
 1981 03  5829·
 1981 04  4923.
 1981 05  9833·
 1981 06  6638·
 1981 07  142.
 1981 08  4545·
 1981 09  5443.
 1981 10  5347.
 1981 11  1247·
 1981 12  4834·
 1982 01 5232·
 1982 02 3736·
 1982 03 2037·
 1982 04 2037.
 1982 05 8544.
 1982 06 4451·
 1982 07 8444.
 1982 08 5032·
 1982 09 7332·
 1982 10 2431·
 1982 11 8319·
 1982 12 4917·
 1983 01  6121.
 1983 02  5223.
 1983 03  2636·
 1983 04  5631·
 1983 05  1625·
 1983 06  2941·
 1983 07  4347·
 1983 08  3438·
 1983 09  3431·
 1983 10  8027·
 1983 11  9122·
 1983 12  7118·
 1984 01 3415·
 1984 02 5625·
 1984 03 5320.
 1984 04 7923·
 1984 05 5931.
 1984 06 3229·
 1984 07 3435·
 1984 08 9723.
 1984 09 7922.
 1984 10 724·
 1984 11 6621·
 1984 12 8814.
 1985 01  8710·
 1985 02  96.
 1985 03  621.
 1985 04  3816.
 1985 05  419.
 1985 06  8723·
 1985 07  3523·
 1985 08  6236·
 1985 09  7320·
 1985 10  1614·
 1985 11  6115·
 1985 12  9720·
 1986 01 6319·
 1986 02 9715.
 1986 03 1416.
 1986 04 618·
 1986 05 6923·
 1986 06 5616.
 1986 07 5232.
 1986 08 7628.
 1986 09 922·
 1986 10 4219·
 1986 11 5616.
 1986 12 2223.
 1987 01  2812·
 1987 02  3114·
 1987 03  3213·
 1987 04  8023.
 1987 05  9521.
 1987 06  2427·
 1987 07  1324·
 1987 08  1316.
 1987 09  421·
 1987 10  458.
 1987 11  5511.
 1987 12  1010·
 1988 01 7414·
 1988 02 464.
 1988 03 3916.
 1988 04 8425·
 1988 05 4918·
 1988 06 121·
 1988 07 7328·
 1988 08 7125·
 1988 09 999.
 1988 10 1126.
 1988 11 8712·
 1988 12 3517·
 1989 01  1813.
 1989 02  216.
 1989 03  4011.
 1989 04  6512·
 1989 05  2419.
 1989 06  2415·
 1989 07  1112.
 1989 08  7216.
 1989 09  6215·
 1989 10  5118.
 1989 11  816·
 1989 12  957.
 1990 01 112.
 1990 02 853.
 1990 03 6215.
 1990 04 9715.
 1990 05 3514.
 1990 06 5215·
 1990 07 3110.
 1990 08 6510.
 1990 09 837.
 1990 10 0
 1990 11 957·
 1990 12 1313·
 1991 01  9010·
 1991 02  78·
 1991 03  625·
 1991 04  784.
 1991 05  2513·
 1991 06  7117.
 1991 07  63
 1991 08  2311.
 1991 09  8112·
 1991 10  1915·
 1991 11  5412.
 1991 12  376·
 1992 01 786.
 1992 02 14.
 1992 03 186·
 1992 04 318.
 1992 05 6013·
 1992 06 9215·
 1992 07 6013·
 1992 08 449·
 1992 09 96
 1992 10 9310·
 1992 11 1411.
 1992 12 399.
 1993 01  807·
 1993 02  297.
 1993 03  347.
 1993 04  46.
 1993 05  3211·
 1993 06  508·
 1993 07  39.
 1993 08  5114.
 1993 09  9614.
 1993 10  337·
 1993 11  286.
 1993 12  196.
 1994 01 405.
 1994 02 765·
 1994 03 404.
 1994 04 70
 1994 05 592.
 1994 06 74·
 1994 07 963.
 1994 08 92
 1994 09 712.
 1994 10 742.
 1994 11 773·
 1994 12 981·
 1995 01  221·
 1995 02  541·
 1995 03  907·
 1995 04  264.
 1995 05  816·
 1995 06  465.
 1995 07  675.
 1995 08  394·
 1995 09  40
 1995 10  775·
 1995 11  643·
 1995 12  252·
 1996 01 211.
 1996 02 961.
 1996 03 631·
 1996 04 974.
 1996 05 65
 1996 06 80
 1996 07 713.
 1996 08 9210·
 1996 09 4413·
 1996 10 279·
 1996 11 198·
 1996 12 742.
 1997 01  51
 1997 03  655.
 1997 04  647.
 1997 05  30
 1997 06  56.
 1997 07  435·
 1997 08  883·
 1997 09  73
 1997 10  505.
 1997 11  367.
 1997 12  968·
 1998 01 414·
 1998 02 554.
 1998 03 452.
 1998 04 223·
 1998 05 987.
 1998 06 151·
 1998 07 961·
 1998 08 213.
 1998 09 307·
 1998 10 484.
 1999 01  385.
 1999 02  75
 1999 03  511.
 1999 04  04.
 1999 08  474.
 1999 09  91
 1999 10  992.
 1999 11  383.
 2000 05 24
 2000 08 03·
 2000 09 362.
 2000 10 572·
 2001 03  940.
 2001 05  602.
 2001 08  512·
 2001 09  77
 2001 10  74·
 2001 11  512.
 2001 12  563·
 2002 01 414·
 2002 02 392.
 2002 03 80
 2002 04 906·
 2002 05 194·
 2002 06 903·
 2002 07 790·
 2003 03  15
 2003 04  41.
 2003 10  851.
 2003 11  51·
 2003 12  180·
 2004 01 160·
 2004 02 750.
 2004 03 39
 2004 04 140·
 2004 09 983.
 2004 10 362·
 2004 11 882.
 2005 05  394.
 2005 06  210·
 2005 07  673.
 2005 08  833.
 2005 09  573·
 2006 05 793.
 2006 06 940.
 2006 08 824·
 2007 06  561.
 2007 07  890·
 2007 11  672·
 2007 12  652.
 2008 06 48
 2008 07 971·
 2008 11 635·
 2008 12 403.
 2009 01  724.
 2009 02  724·
 2009 03  801.
 2009 04  383.
 2009 06  890·
 2009 07  72·
 2009 08  452.
 2009 09  162.
 2009 10  890.
 2009 11  220.
 2009 12  80·
 2010 01 550.
 2010 02 84
 2010 03 624.
 2010 04 455.
 2010 05 62
 2010 06 120.
 2010 07 942·
 2010 08 550.
 2010 09 680·
 2010 10 364.
 2010 11 142·
 2010 12 642·
 2011 01  312.
 2011 02  440.
 2011 03  400·
 2011 04  23
 2011 05  320.
 2011 06  481·
 2011 07  170·
 2011 08  73.
 2011 09  780·
 2011 10  860·
 2011 11  140.
 2011 12  160.
 2012 01 990·
 2012 02 220.
 2012 03 25
 2012 04 760.
 2012 05 540·
 2012 06 440·
 2012 07 680·
 2012 08 370·
 2012 09 233·
 2012 10 630.
 2012 11 890·
 2012 12 751·
 2013 01  131.
 2013 02  190·
 2013 03  560.
 2013 04  893.
 2013 05  550·
 2013 06  730·
 2013 07  642·
 2013 08  62·
 2013 09  84·
 2013 10  155.
 2013 11  310·
 2013 12  751·
 2014 01 511.
 2014 02 560·
 2014 03 20·
 2014 04 720·
 2014 05 920·
 2014 06 340.
 2014 07 460·
 2014 08 980·
 2014 09 621·
 2014 10 140.
 2014 11 570.
 2014 12 780.
 2015 01  182·
 2015 02  814·
 2015 03  544·
 2015 04  61
 2015 05  420.
 2015 06  500.
 2015 07  810.
 2015 08  250.
 2015 09  400.
 2015 10  580·
 2015 11  80·
 2015 12  680·
 2016 01 440.
 2016 02 690·
 2016 03 29
 2016 04 170.
 2016 05 114.
 2016 06 692·
 2016 07 622·
 2016 08 22
 2016 09 222·
 2016 10 722·
 2016 11 522.
 2016 12 580.


 2017 01  831.
 2017 02  160.
 2017 03  680.
 2017 04  250.
 2017 05  270·
 2017 06  630·
 2017 07  40·
 2017 08  500.
 2017 09  100·
 2017 10  21.
 2017 11  791·
 2017 12  820.
 2018 01 141·
 2018 02 460·
 2018 03 380.
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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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