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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 3246.
 1976 07 7045.
 1976 08 244.
 1976 09 3032.
 1976 10 8143.
 1976 11 8438·
 1976 12 7031·
 1977 01  9920·
 1977 02  1524·
 1977 03  1433.
 1977 04  5753·
 1977 05  8668·
 1977 06  8464·
 1977 07  4465·
 1977 08  7755·
 1977 09  3533·
 1977 10  6440·
 1977 11  7943.
 1977 12  6730·
 1978 01 1425·
 1978 02 5531·
 1978 03 5139·
 1978 04 9135.
 1978 05 1837·
 1978 06 8360·
 1978 07 1760.
 1978 08 3559·
 1978 09 6636·
 1978 10 9846.
 1978 11 5835·
 1978 12 1434.
 1979 01  227·
 1979 02  7521.
 1979 03  8130.
 1979 04  6532·
 1979 05  9648·
 1979 06  1549.
 1979 07  1847·
 1979 08  5135.
 1979 09  4147·
 1979 10  4431.
 1979 11  2628.
 1979 12  6027.
 1980 01 5615.
 1980 02 1121.
 1980 03 8525.
 1980 04 424·
 1980 05 8638.
 1980 06 9241·
 1980 07 337.
 1980 08 2250·
 1980 09 039.
 1980 10 8758.
 1980 11 1136·
 1980 12 7623·
 1981 01  9212.
 1981 02  2215·
 1981 03  6629.
 1981 04  5523·
 1981 05  8133·
 1981 06  4838·
 1981 07  5042·
 1981 08  7145.
 1981 09  1143.
 1981 10  3947·
 1981 11  6947·
 1981 12  6234·
 1982 01 5132.
 1982 02 9636·
 1982 03 5537.
 1982 04 9137·
 1982 05 9644.
 1982 06 4451·
 1982 07 6444·
 1982 08 4632·
 1982 09 6532.
 1982 10 3431.
 1982 11 7819.
 1982 12 4017·
 1983 01  221·
 1983 02  4123.
 1983 03  436·
 1983 04  1031·
 1983 05  7525·
 1983 06  6541.
 1983 07  7447.
 1983 08  2038·
 1983 09  8031·
 1983 10  3327·
 1983 11  4322.
 1983 12  5818.
 1984 01 3415.
 1984 02 9425.
 1984 03 9420.
 1984 04 3523.
 1984 05 8331·
 1984 06 2329.
 1984 07 3435.
 1984 08 9123·
 1984 09 9622.
 1984 10 2124·
 1984 11 9321.
 1984 12 8914.
 1985 01  6610.
 1985 02  146·
 1985 03  2921.
 1985 04  1516·
 1985 05  1319.
 1985 06  5223.
 1985 07  2323·
 1985 08  8336.
 1985 09  8120·
 1985 10  1014.
 1985 11  8215·
 1985 12  3120.
 1986 01 4019.
 1986 02 8915·
 1986 03 3816·
 1986 04 2218·
 1986 05 8223·
 1986 06 1416·
 1986 07 4732·
 1986 08 4328·
 1986 09 2822·
 1986 10 3519·
 1986 11 9016.
 1986 12 823.
 1987 01  2112.
 1987 02  2814·
 1987 03  7513·
 1987 04  5423.
 1987 05  3021·
 1987 06  9327·
 1987 07  3324.
 1987 08  4516.
 1987 09  5121.
 1987 10  56
 1987 11  2111·
 1987 12  6710.
 1988 01 114.
 1988 02 674·
 1988 03 2016·
 1988 04 3525.
 1988 05 2618·
 1988 06 121.
 1988 07 3728·
 1988 08 8625.
 1988 09 949.
 1988 10 5926·
 1988 11 412.
 1988 12 8217·
 1989 01  9913·
 1989 02  6616.
 1989 03  7711·
 1989 04  1212.
 1989 05  6019.
 1989 06  7215.
 1989 07  3812.
 1989 08  8916.
 1989 09  2215.
 1989 10  5418.
 1989 11  9416·
 1989 12  507·
 1990 01 5412.
 1990 02 103·
 1990 03 7615·
 1990 04 5915.
 1990 05 5014.
 1990 06 6815·
 1990 07 4010.
 1990 08 310·
 1990 09 297.
 1990 10 772·
 1990 11 697.
 1990 12 9513.
 1991 01  3510.
 1991 02  128·
 1991 03  695·
 1991 04  734·
 1991 05  3713·
 1991 06  7417.
 1991 07  729.
 1991 08  111.
 1991 09  3012·
 1991 10  8815·
 1991 11  3512.
 1991 12  656.
 1992 01 326·
 1992 02 54·
 1992 03 386·
 1992 04 788.
 1992 05 8813·
 1992 06 015.
 1992 07 8913·
 1992 08 809.
 1992 09 677·
 1992 10 7310·
 1992 11 2011·
 1992 12 329.
 1993 01  637·
 1993 02  517·
 1993 03  867.
 1993 04  226·
 1993 05  9611.
 1993 06  828·
 1993 07  709·
 1993 08  6414·
 1993 09  814·
 1993 10  437·
 1993 11  786·
 1993 12  946·
 1994 01 705·
 1994 02 355.
 1994 03 434·
 1994 04 774.
 1994 05 762·
 1994 06 814·
 1994 07 193·
 1994 08 03·
 1994 09 442·
 1994 10 332·
 1994 11 903.
 1994 12 761.
 1995 01  191.
 1995 02  671·
 1995 03  627.
 1995 04  424.
 1995 05  706.
 1995 06  825.
 1995 07  665·
 1995 08  62
 1995 09  916.
 1995 10  45.
 1995 11  593·
 1995 12  242.
 1996 01 21.
 1996 02 841.
 1996 03 231·
 1996 04 40
 1996 05 462.
 1996 06 963.
 1996 07 643.
 1996 08 4810.
 1996 09 9313.
 1996 10 41
 1996 11 158.
 1996 12 122·
 1997 01  365.
 1997 03  455.
 1997 04  317.
 1997 05  194.
 1997 06  95
 1997 07  585.
 1997 08  943·
 1997 09  812.
 1997 10  145·
 1997 11  557·
 1997 12  118.
 1998 01 384.
 1998 02 62
 1998 03 372.
 1998 04 143.
 1998 05 517·
 1998 06 341.
 1998 07 281.
 1998 08 593·
 1998 09 97·
 1998 10 48
 1999 01  815.
 1999 02  28
 1999 03  251.
 1999 04  484.
 1999 08  694.
 1999 09  272.
 1999 10  36
 1999 11  43.
 2000 05 932·
 2000 08 893.
 2000 09 52·
 2000 10 102.
 2001 03  790.
 2001 05  692.
 2001 08  212·
 2001 09  856·
 2001 10  784.
 2001 11  502·
 2001 12  953.
 2002 01 744.
 2002 02 632.
 2002 03 382·
 2002 04 67
 2002 05 444·
 2002 06 373·
 2002 07 640.
 2003 03  983.
 2003 04  911.
 2003 10  231·
 2003 11  861·
 2003 12  780.
 2004 01 330·
 2004 02 730·
 2004 03 850·
 2004 04 180·
 2004 09 153·
 2004 10 632.
 2004 11 672.
 2005 05  564·
 2005 06  60.
 2005 07  913·
 2005 08  653.
 2005 09  563.
 2006 05 993.
 2006 06 850·
 2006 08 354·
 2007 06  61.
 2007 07  150.
 2007 11  932.
 2007 12  582.
 2008 06 171.
 2008 07 971·
 2008 11 92
 2008 12 413.
 2009 01  294.
 2009 02  154.
 2009 03  821·
 2009 04  163.
 2009 06  40.
 2009 07  622·
 2009 08  892.
 2009 09  402·
 2009 10  290.
 2009 11  580·
 2009 12  620.
 2010 01 940·
 2010 02 194·
 2010 03 464.
 2010 04 775.
 2010 05 843.
 2010 06 100·
 2010 07 97
 2010 08 350.
 2010 09 430.
 2010 10 664.
 2010 11 32.
 2010 12 61
 2011 01  272·
 2011 02  740.
 2011 03  850.
 2011 04  50.
 2011 05  170·
 2011 06  471.
 2011 07  860·
 2011 08  423·
 2011 09  210.
 2011 10  240.
 2011 11  750·
 2011 12  740·
 2012 01 700.
 2012 02 670·
 2012 03 480.
 2012 04 250·
 2012 05 21
 2012 06 640·
 2012 07 220·
 2012 08 460.
 2012 09 543.
 2012 10 280.
 2012 11 420·
 2012 12 121.
 2013 01  781.
 2013 02  970·
 2013 03  770·
 2013 04  243.
 2013 05  230.
 2013 06  330·
 2013 07  212.
 2013 08  72·
 2013 09  464·
 2013 10  255.
 2013 11  940·
 2013 12  121·
 2014 01 291·
 2014 02 860.
 2014 03 390.
 2014 04 130.
 2014 05 790.
 2014 06 530.
 2014 07 250.
 2014 08 110·
 2014 09 261·
 2014 10 890·
 2014 11 480·
 2014 12 320·
 2015 01  282.
 2015 02  824.
 2015 03  254·
 2015 04  260.
 2015 05  670·
 2015 06  460·
 2015 07  20.
 2015 08  680·
 2015 09  490·
 2015 10  170.
 2015 11  460·
 2015 12  590.
 2016 01 50.
 2016 02 590·
 2016 03 530·
 2016 04 25
 2016 05 92
 2016 06 602.
 2016 07 422·
 2016 08 141.
 2016 09 932.
 2016 10 32
 2016 11 562·
 2016 12 40.
 2017 01  131.
 2017 02  140·
 2017 03  650.


 2017 04  940.
 2017 05  840.
 2017 06  69
 2017 07  630·
 2017 08  100·
 2017 09  630.
 2017 10  841·
 2017 11  68
 2017 12  20.
 2018 01 32
 2018 02 710.
 2018 03 260·
 2018 04 450.
 2018 05 964·
 2018 06 70
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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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