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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 25-34 years, Women: NSA
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Go to end of data set
 1976 06 6646.
 1976 07 3945·
 1976 08 7044·
 1976 09 1432·
 1976 10 4643.
 1976 11 4638.
 1976 12 9531·
 1977 01  320·
 1977 02  6224.
 1977 03  2133.
 1977 04  8953·
 1977 05  6068·
 1977 06  6364·
 1977 07  4565·
 1977 08  6655.
 1977 09  2833·
 1977 10  2540·
 1977 11  2543·
 1977 12  6330.
 1978 01 7625.
 1978 02 4931·
 1978 03 9239.
 1978 04 4435·
 1978 05 037.
 1978 06 5960·
 1978 07 260·
 1978 08 9659.
 1978 09 1836.
 1978 10 646.
 1978 11 3835·
 1978 12 3234.
 1979 01  7327·
 1979 02  6521.
 1979 03  630·
 1979 04  9032.
 1979 05  3648·
 1979 06  3749.
 1979 07  3747·
 1979 08  3335.
 1979 09  147·
 1979 10  4831·
 1979 11  8928·
 1979 12  4827.
 1980 01 8515.
 1980 02 4721.
 1980 03 4325·
 1980 04 5024·
 1980 05 3538·
 1980 06 1041.
 1980 07 537.
 1980 08 7550·
 1980 09 1839·
 1980 10 3758·
 1980 11 836.
 1980 12 8623.
 1981 01  3012·
 1981 02  5415.
 1981 03  829.
 1981 04  7223.
 1981 05  8833.
 1981 06  1238·
 1981 07  8642.
 1981 08  4545.
 1981 09  3843.
 1981 10  8547.
 1981 11  5047.
 1981 12  4334·
 1982 01 4832.
 1982 02 7436·
 1982 03 3037.
 1982 04 2937.
 1982 05 1244·
 1982 06 451.
 1982 07 8344.
 1982 08 9132.
 1982 09 5132.
 1982 10 2631·
 1982 11 9219.
 1982 12 4117·
 1983 01  721.
 1983 02  1523·
 1983 03  6336·
 1983 04  1931·
 1983 05  5025.
 1983 06  7241·
 1983 07  2747.
 1983 08  8638.
 1983 09  7431·
 1983 10  2127.
 1983 11  4122.
 1983 12  3118·
 1984 01 9815·
 1984 02 1425.
 1984 03 8620·
 1984 04 6523.
 1984 05 6731·
 1984 06 2529.
 1984 07 7035·
 1984 08 2923·
 1984 09 4922.
 1984 10 5624·
 1984 11 2421.
 1984 12 8314·
 1985 01  3910·
 1985 02  316.
 1985 03  521·
 1985 04  1616·
 1985 05  5519·
 1985 06  123·
 1985 07  9423.
 1985 08  4136.
 1985 09  4320·
 1985 10  4114·
 1985 11  9715.
 1985 12  9620.
 1986 01 7119·
 1986 02 5215.
 1986 03 4716·
 1986 04 4418·
 1986 05 3223·
 1986 06 5816.
 1986 07 132·
 1986 08 7328.
 1986 09 4822·
 1986 10 1119.
 1986 11 3916·
 1986 12 9423.
 1987 01  6012·
 1987 02  8614·
 1987 03  6813·
 1987 04  4823·
 1987 05  4021·
 1987 06  8427.
 1987 07  2124·
 1987 08  9516·
 1987 09  8021.
 1987 10  288·
 1987 11  5311.
 1987 12  2510.
 1988 01 014·
 1988 02 714.
 1988 03 4716.
 1988 04 5025·
 1988 05 4418·
 1988 06 8721.
 1988 07 928.
 1988 08 725·
 1988 09 819.
 1988 10 7726·
 1988 11 7012·
 1988 12 6117·
 1989 01  513.
 1989 02  6616.
 1989 03  8811.
 1989 04  9812.
 1989 05  3719.
 1989 06  515.
 1989 07  4312.
 1989 08  3216.
 1989 09  1815.
 1989 10  6818.
 1989 11  4316.
 1989 12  07.
 1990 01 2012·
 1990 02 573.
 1990 03 1915·
 1990 04 6615.
 1990 05 3514.
 1990 06 9715·
 1990 07 2910.
 1990 08 1710·
 1990 09 837.
 1990 10 372·
 1990 11 527·
 1990 12 6613·
 1991 01  910.
 1991 02  558·
 1991 03  97
 1991 04  514.
 1991 05  8113·
 1991 06  4917.
 1991 07  949·
 1991 08  3511.
 1991 09  9312.
 1991 10  4515.
 1991 11  112·
 1991 12  66.
 1992 01 656.
 1992 02 94
 1992 03 996·
 1992 04 778·
 1992 05 4113.
 1992 06 7115·
 1992 07 9513.
 1992 08 869·
 1992 09 897.
 1992 10 7610·
 1992 11 2011·
 1992 12 959·
 1993 01  57.
 1993 02  367·
 1993 03  317.
 1993 04  926.
 1993 05  611.
 1993 06  99
 1993 07  99.
 1993 08  9014.
 1993 09  3814.
 1993 10  437.
 1993 11  626·
 1993 12  286.
 1994 01 705.
 1994 02 665.
 1994 03 214.
 1994 04 684.
 1994 05 952.
 1994 06 94
 1994 07 423·
 1994 08 983·
 1994 09 332·
 1994 10 792·
 1994 11 73·
 1994 12 311·
 1995 01  271.
 1995 02  941.
 1995 03  247·
 1995 04  44.
 1995 05  486.
 1995 06  415·
 1995 07  225·
 1995 08  814.
 1995 09  89
 1995 10  465·
 1995 11  603.
 1995 12  502.
 1996 01 691.
 1996 02 571.
 1996 03 19
 1996 04 234·
 1996 05 322.
 1996 06 513·
 1996 07 43.
 1996 08 3910.
 1996 09 4913·
 1996 10 299.
 1996 11 49
 1996 12 592·
 1997 01  115.
 1997 03  145·
 1997 04  107.
 1997 05  73
 1997 06  406.
 1997 07  595.
 1997 08  683.
 1997 09  932.
 1997 10  795·
 1997 11  387.
 1997 12  298.
 1998 01 564.
 1998 02 964·
 1998 03 522.
 1998 04 273·
 1998 05 277.
 1998 06 871·
 1998 07 26
 1998 08 163.
 1998 09 927.
 1998 10 714.
 1999 01  105·
 1999 02  800.
 1999 03  641.
 1999 04  914.
 1999 08  814·
 1999 09  242·
 1999 10  822·
 1999 11  173·
 2000 05 372.
 2000 08 803.
 2000 09 92.
 2000 10 422·
 2001 03  50.
 2001 05  42.
 2001 08  312·
 2001 09  876·
 2001 10  35
 2001 11  802·
 2001 12  633.
 2002 01 944·
 2002 02 32·
 2002 03 122·
 2002 04 41
 2002 05 344.
 2002 06 83.
 2002 07 330·
 2003 03  303.
 2003 04  11·
 2003 10  771.
 2003 11  991.
 2003 12  160.
 2004 01 12
 2004 02 590.
 2004 03 930.
 2004 04 13
 2004 09 143·
 2004 10 312.
 2004 11 202.
 2005 05  594.
 2005 06  740.
 2005 07  913.
 2005 08  123·
 2005 09  16
 2006 05 883·
 2006 06 670·
 2006 08 264.
 2007 06  72
 2007 07  730.
 2007 11  72·
 2007 12  442·
 2008 06 411·
 2008 07 751.
 2008 11 88
 2008 12 723.
 2009 01  604.
 2009 02  624·
 2009 03  111.
 2009 04  413.
 2009 06  920.
 2009 07  28
 2009 08  992.
 2009 09  102·
 2009 10  240.
 2009 11  930.
 2009 12  40.
 2010 01 580.
 2010 02 714.
 2010 03 14.
 2010 04 15.
 2010 05 933·
 2010 06 690.
 2010 07 212·
 2010 08 91
 2010 09 460.
 2010 10 824.
 2010 11 472·
 2010 12 992·
 2011 01  752.
 2011 02  970·
 2011 03  99
 2011 04  750.
 2011 05  600.
 2011 06  271·
 2011 07  190·
 2011 08  953.
 2011 09  80.
 2011 10  110·
 2011 11  780.
 2011 12  580·
 2012 01 520·
 2012 02 110.
 2012 03 700.
 2012 04 92
 2012 05 470·
 2012 06 150·
 2012 07 140.
 2012 08 450.
 2012 09 753·
 2012 10 360·
 2012 11 530·
 2012 12 931.
 2013 01  431.
 2013 02  120.
 2013 03  580·
 2013 04  373.
 2013 05  820·
 2013 06  60·
 2013 07  222.
 2013 08  22.
 2013 09  504.
 2013 10  55.
 2013 11  640.
 2013 12  381·
 2014 01 281.
 2014 02 220.
 2014 03 280.
 2014 04 21
 2014 05 220·
 2014 06 960·
 2014 07 850·
 2014 08 520.
 2014 09 641.
 2014 10 890.
 2014 11 270.
 2014 12 550.
 2015 01  112.
 2015 02  904.
 2015 03  744.
 2015 04  810.
 2015 05  440.
 2015 06  100.
 2015 07  70
 2015 08  50·
 2015 09  700·
 2015 10  880.
 2015 11  840.
 2015 12  280.
 2016 01 210.
 2016 02 880.
 2016 03 100.
 2016 04 750.
 2016 05 534·
 2016 06 962·
 2016 07 682.
 2016 08 971·
 2016 09 48


 2016 10 252·
 2016 11 22.
 2016 12 690·
 2017 01  121.
 2017 02  140·
 2017 03  800.
 2017 04  910·
 2017 05  780.
 2017 06  250.
 2017 07  970.
 2017 08  89
 2017 09  10·
 2017 10  471.
 2017 11  731.
 2017 12  13
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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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