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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 18-19 years, Men: NSA
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Go to end of data set
 1976 06 4139·
 1976 07 4950.
 1976 08 3245.
 1976 09 5729.
 1976 10 1134.
 1976 11 8722·
 1976 12 7827.
 1977 01  735·
 1977 02  7816·
 1977 03  5416·
 1977 04  5530.
 1977 05  8732·
 1977 06  9437·
 1977 07  3344·
 1977 08  7732.
 1977 09  4117·
 1977 10  3316.
 1977 11  3015·
 1977 12  8315.
 1978 01 3917.
 1978 02 9514·
 1978 03 7615·
 1978 04 3415·
 1978 05 7313·
 1978 06 732.
 1978 07 2937·
 1978 08 1926.
 1978 09 6425·
 1978 10 1818.
 1978 11 7018.
 1978 12 5025.
 1979 01  5622·
 1979 02  423.
 1979 03  513.
 1979 04  6618·
 1979 05  1819.
 1979 06  6635·
 1979 07  6726.
 1979 08  2926·
 1979 09  4320·
 1979 10  2819·
 1979 11  1114.
 1979 12  2814·
 1980 01 5216·
 1980 02 4114·
 1980 03 2019.
 1980 04 7523·
 1980 05 8830.
 1980 06 8131·
 1980 07 9927.
 1980 08 827.
 1980 09 2023·
 1980 10 4822.
 1980 11 8215.
 1980 12 9016·
 1981 01  4215·
 1981 02  6712.
 1981 03  2422.
 1981 04  819.
 1981 05  7429.
 1981 06  8827·
 1981 07  725.
 1981 08  7731.
 1981 09  6016·
 1981 10  888·
 1981 11  3815.
 1981 12  3314.
 1982 01 6922·
 1982 02 6616.
 1982 03 4813.
 1982 04 3913·
 1982 05 9418·
 1982 06 4828·
 1982 07 9420.
 1982 08 8420·
 1982 09 5618·
 1982 10 8516·
 1982 11 5819·
 1982 12 8113.
 1983 01  9815.
 1983 02  5013.
 1983 03  4615.
 1983 04  6617·
 1983 05  9021.
 1983 06  4636.
 1983 07  9034.
 1983 08  423·
 1983 09  2514·
 1983 10  9718·
 1983 11  4618.
 1983 12  8119·
 1984 01 2315·
 1984 02 5511·
 1984 03 9713·
 1984 04 1211·
 1984 05 2813.
 1984 06 9312.
 1984 07 4814.
 1984 08 3315.
 1984 09 98.
 1984 10 138·
 1984 11 3213·
 1984 12 811.
 1985 01  6012.
 1985 02  3910·
 1985 03  513.
 1985 04  2419.
 1985 05  019·
 1985 06  2317.
 1985 07  4818.
 1985 08  9516·
 1985 09  749·
 1985 10  403·
 1985 11  695.
 1985 12  587.
 1986 01 508.
 1986 02 9014.
 1986 03 9917.
 1986 04 7612.
 1986 05 2313.
 1986 06 9911.
 1986 07 9520·
 1986 08 3717.
 1986 09 128.
 1986 10 1610.
 1986 11 388.
 1986 12 5512·
 1987 01  615.
 1987 02  184.
 1987 03  3514.
 1987 04  6617.
 1987 05  3821·
 1987 06  419.
 1987 07  1814.
 1987 08  3418·
 1987 09  4012·
 1987 10  111.
 1987 11  426.
 1987 12  47
 1988 01 8312·
 1988 02 585·
 1988 03 919·
 1988 04 1715·
 1988 05 1319.
 1988 06 519·
 1988 07 7019.
 1988 08 8314·
 1988 09 995·
 1988 10 805.
 1988 11 115.
 1988 12 72.
 1989 01  35
 1989 02  714·
 1989 03  718·
 1989 04  775.
 1989 05  407·
 1989 06  7411·
 1989 07  319·
 1989 08  610·
 1989 09  577.
 1989 10  64
 1989 11  994·
 1989 12  328.
 1990 01 586.
 1990 02 428.
 1990 03 55.
 1990 04 195.
 1990 05 349.
 1990 06 3312.
 1990 07 710.
 1990 08 5313·
 1990 09 67·
 1990 10 886.
 1990 11 85
 1990 12 474.
 1991 01  186.
 1991 02  826·
 1991 03  4710.
 1991 04  418.
 1991 05  387·
 1991 06  1611.
 1991 07  259·
 1991 08  955·
 1991 09  623·
 1991 10  144.
 1991 11  745.
 1991 12  992.
 1992 01 73.
 1992 02 271·
 1992 03 776·
 1992 04 665.
 1992 05 194.
 1992 06 317.
 1992 07 4010.
 1992 08 3211·
 1992 09 663·
 1992 10 256.
 1992 11 958·
 1992 12 616.
 1993 01  4311.
 1993 02  365·
 1993 03  9818.
 1993 04  428·
 1993 05  68
 1993 06  1414·
 1993 07  3115.
 1993 08  8613·
 1993 09  861·
 1993 10  344·
 1993 12  22.
 1994 01 321.
 1994 02 666.
 1994 03 976·
 1994 04 405·
 1994 05 427.
 1994 06 38.
 1994 07 2712.
 1994 08 47.
 1994 09 57.
 1994 10 144·
 1994 11 767.
 1994 12 74
 1995 01  333.
 1995 02  455·
 1995 03  18
 1995 04  588.
 1995 05  657·
 1995 06  645.
 1995 07  540.
 1995 08  862·
 1995 09  633·
 1995 10  665·
 1995 11  105.
 1995 12  16
 1996 01 149.
 1996 02 70
 1996 03 368.
 1996 04 307.
 1996 05 336.
 1996 06 1912·
 1996 07 711·
 1996 08 3311.
 1996 09 5611.
 1996 10 847.
 1996 11 244.
 1996 12 582·
 1997 01  471·
 1997 02  581·
 1997 03  1110·
 1997 04  618·
 1997 05  944·
 1997 06  607.
 1997 07  209.
 1997 08  2311·
 1997 09  91·
 1997 10  352.
 1997 11  260.
 1997 12  520·
 1998 01 31
 1998 02 523·
 1998 03 2911·
 1998 04 801·
 1998 05 225.
 1998 06 413·
 1998 07 554·
 1998 08 6211·
 1998 09 7012·
 1998 10 116.
 1998 11 534·
 1998 12 804·
 1999 02  883·
 1999 03  173·
 1999 04  04.
 1999 05  418.
 1999 06  147.
 1999 07  9112·
 1999 08  9614·
 1999 09  774.
 1999 10  114·
 1999 11  285.
 1999 12  663·
 2000 01 44
 2000 02 662·
 2000 03 466.
 2000 04 605.
 2000 07 242·
 2000 08 93
 2000 09 9010.
 2000 10 558.
 2000 11 24
 2000 12 304·
 2001 03  283.
 2001 04  503.
 2001 07  750·
 2001 08  394·
 2001 10  562.
 2001 11  700·
 2001 12  340.
 2002 01 91·
 2002 04 911.
 2002 05 672.
 2002 06 822.
 2002 07 513.
 2002 08 79
 2002 09 156.
 2002 10 269.
 2002 11 55·
 2002 12 884·
 2003 03  140·
 2003 04  982·
 2003 05  32
 2003 06  129.
 2003 07  926·
 2003 08  551·
 2003 09  224.
 2003 10  713·
 2003 11  96
 2003 12  783.
 2004 02 862.
 2004 03 96.
 2004 04 4
 2004 05 734·
 2004 06 620.
 2004 07 954·
 2004 08 164·
 2004 09 722·
 2004 10 152.
 2004 11 22
 2004 12 561.
 2005 01  334·
 2005 02  306.
 2005 03  112·
 2005 04  755.
 2005 05  366.
 2005 06  22
 2005 07  56.
 2005 08  49
 2005 09  885·
 2005 10  294·
 2005 11  740·
 2006 01 782·
 2006 03 22
 2006 04 122·
 2006 05 110·
 2006 06 882·
 2006 07 933.
 2006 08 60
 2006 11 36
 2006 12 283.
 2007 03  832.
 2007 04  860·
 2007 05  934.
 2007 06  754.
 2007 07  981·
 2007 08  281·
 2007 09  510·
 2007 10  281·
 2007 12  723·
 2008 01 493·
 2008 02 45.
 2008 03 133.
 2008 04 596·
 2008 05 366·
 2008 06 719·
 2008 07 8010.
 2008 08 421.
 2008 09 20·
 2008 10 961·
 2008 11 50·
 2008 12 284.
 2009 01  86
 2009 03  503·
 2009 04  885·
 2009 05  474.
 2009 06  5013·
 2009 07  257.
 2009 08  557·
 2009 09  578·
 2009 10  825·
 2009 11  405.
 2009 12  555·
 2010 01 400·
 2010 02 95
 2010 03 413·
 2010 04 657·
 2010 05 1
 2010 06 2710·
 2010 07 966.
 2010 08 852·
 2010 09 735.
 2010 10 419.
 2010 11 994.
 2010 12 403.
 2011 01  124.
 2011 02  244.
 2011 03  703.
 2011 04  806·
 2011 05  010.
 2011 06  907.
 2011 07  52
 2011 08  81
 2011 09  442.
 2011 10  762·
 2011 11  153·
 2011 12  430.
 2012 01 743.


 2012 02 460.
 2012 03 520.
 2012 04 920.
 2012 05 490.
 2012 06 871.
 2012 07 841.
 2012 08 791.
 2012 09 491·
 2012 10 121.
 2012 11 54
 2012 12 773.
 2013 01  806.
 2013 02  595·
 2013 03  312.
 2013 04  88
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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

Input your search text below.
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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 18-19 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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