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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 269·
 2012 03 1112·
 2012 02 486.
 2012 01 630·
 2011 12  100·
 2011 11  4112.
 2011 10  137.
 2011 09  1112.
 2011 08  315.
 2011 07  124.
 2011 06  2212.
 2011 05  23·
 2011 04  570.
 2011 03  81·
 2011 02  891·
 2011 01  793.
 2010 12 475·
 2010 11 349·
 2010 10 52
 2010 09 125·
 2010 08 736·
 2010 07 2211·
 2010 06 7310·
 2010 05 946.
 2010 04 604.
 2010 03 292.
 2010 02 403.
 2010 01 465.
 2009 12  603·
 2009 11  361·
 2009 10  660·
 2009 09  100·
 2009 08  475.
 2009 07  509·
 2009 06  897.
 2009 05  575.
 2009 04  229·
 2009 03  312·
 2009 02  727.
 2009 01  814.
 2008 10 100.
 2008 09 524.
 2008 08 34.
 2008 07 991.
 2008 06 6211.
 2008 05 771.
 2008 04 954·
 2007 11  582·
 2007 08  531.
 2007 07  8610·
 2007 06  857.
 2007 05  254.
 2007 04  836.
 2007 03  107·
 2007 02  36
 2006 11 968.
 2006 10 78
 2006 09 76.
 2006 08 374·
 2006 07 887.
 2006 06 8811·
 2006 05 56
 2006 04 16.
 2006 03 474.
 2006 02 8911.
 2006 01 664·
 2005 12  644.
 2005 11  418.
 2005 10  818·
 2005 09  684.
 2005 08  902·
 2005 07  6412.
 2005 06  8910.
 2005 05  18
 2005 04  674·
 2005 03  376.
 2005 01  630·
 2004 12 987.
 2004 11 85.
 2004 10 28.
 2004 09 8010.
 2004 08 156.
 2004 07 51
 2004 06 299·
 2004 05 396.
 2004 04 13·
 2004 02 585·
 2003 12  123.
 2003 11  673.
 2003 10  113·
 2003 09  18
 2003 08  701·
 2003 07  126·
 2003 06  288.
 2003 05  430·
 2003 04  483·
 2003 03  51
 2003 02  594·
 2003 01  724·
 2002 10 140·
 2002 09 851.
 2002 08 341.
 2002 07 662.
 2002 06 634·
 2002 05 3710·
 2002 04 112.
 2002 03 152.
 2002 01 1312.
 2001 12  607.
 2001 11  723.
 2001 10  302.
 2001 09  101.
 2001 06  287·
 2001 05  2212·
 2001 04  5014·
 2001 03  216.
 2001 02  41
 2001 01  936·
 2000 12 396·
 2000 11 426.
 2000 10 263·
 2000 09 435·
 2000 08 824·
 2000 07 913.
 2000 06 327.
 2000 05 536.
 2000 04 946.
 2000 03 137·
 2000 02 3412·
 2000 01 299·
 1999 12  134·
 1999 11  768.
 1999 10  344·
 1999 09  36.
 1999 08  05·
 1999 07  756.
 1999 06  572.
 1999 05  323.
 1999 04  452.
 1999 03  292.
 1999 02  524.
 1999 01  97
 1998 12 609·
 1998 11 8216·
 1998 10 965·
 1998 09 55.
 1998 08 83
 1998 07 48·
 1998 06 899·
 1998 05 885·
 1998 04 771.
 1998 01 87
 1997 12  566.
 1997 11  24.
 1997 10  2911·
 1997 09  527·
 1997 08  476.
 1997 07  296.
 1997 06  533·
 1997 05  435·
 1997 04  3810·
 1997 03  757·
 1997 01  876.
 1996 12 288.
 1996 11 305·
 1996 10 730.
 1996 09 9311·
 1996 08 38.
 1996 07 4715.
 1996 06 794·
 1996 05 592.
 1996 04 85
 1996 03 407.
 1996 02 746·
 1996 01 988·
 1995 12  195.
 1995 11  853·
 1995 10  65
 1995 09  494·
 1995 08  7511.
 1995 07  829·
 1995 06  843·
 1995 05  738.
 1995 04  477·
 1995 03  567·
 1995 02  883·
 1995 01  606·
 1994 12 524·
 1994 11 587.
 1994 10 574.
 1994 09 218.
 1994 08 3713.
 1994 07 639·
 1994 06 999·
 1994 05 9411·
 1994 04 70
 1994 03 713·
 1994 02 469.
 1994 01 4315.
 1993 12  442.
 1993 11  8
 1993 10  533·
 1993 09  564·
 1993 08  8018.
 1993 07  2411.
 1993 06  313.
 1993 05  4513·
 1993 04  217·
 1993 03  9510.
 1993 02  28·
 1993 01  487.
 1992 12 362.
 1992 11 2120.
 1992 10 8210.
 1992 09 2814·
 1992 08 2014·
 1992 07 2710·
 1992 06 016.
 1992 05 737.
 1992 04 92
 1992 03 658·
 1992 02 37
 1992 01 963·
 1991 12  963·
 1991 11  88·
 1991 10  09.
 1991 09  3510·
 1991 08  013.
 1991 07  5816·
 1991 06  2015.
 1991 05  528.
 1991 04  05·
 1991 03  40
 1991 02  548.
 1991 01  368·
 1990 12 148·
 1990 11 47.
 1990 10 8411.
 1990 09 02.
 1990 08 8715·
 1990 07 2614.
 1990 06 167.
 1990 05 807.
 1990 04 873·
 1990 03 63.
 1990 02 8311·
 1990 01 41
 1989 12  915.
 1989 11  699·
 1989 10  4012.
 1989 09  708·
 1989 08  7119·
 1989 07  6711·
 1989 06  6919.
 1989 05  803.
 1989 04  198.
 1989 03  7416.
 1989 02  7710·
 1989 01  910·
 1988 12 2110·
 1988 11 907·
 1988 10 9611·
 1988 09 199.
 1988 08 7119·
 1988 07 4213.
 1988 06 8213.
 1988 05 013·
 1988 04 8815.
 1988 03 7913.
 1988 02 174·
 1988 01 623.
 1987 12  176·
 1987 11  7712·
 1987 10  75·
 1987 09  4610.
 1987 08  2726.
 1987 07  3615·
 1987 06  8520·
 1987 05  1216·
 1987 04  116.
 1987 03  8212·
 1987 02  6
 1987 01  5013.
 1986 12 909·
 1986 11 6518.
 1986 10 5317·
 1986 09 7215.
 1986 08 727.
 1986 07 6022.
 1986 06 3216.
 1986 05 1614.
 1986 04 3015.
 1986 03 697.
 1986 02 74
 1986 01 458.
 1985 12  5613·
 1985 11  1515.
 1985 10  3719.
 1985 09  4625.
 1985 08  131.
 1985 07  5028.
 1985 06  233·
 1985 05  3322.
 1985 04  1222·
 1985 03  4923·
 1985 02  7520.
 1985 01  4415.
 1984 12 5615.
 1984 11 1215·
 1984 10 8910.
 1984 09 4120·
 1984 08 2931.
 1984 07 6543·
 1984 06 035·
 1984 05 1328·
 1984 04 4813.
 1984 03 5911·
 1984 02 8913·
 1984 01 7223·
 1983 12  5926.
 1983 11  6820.
 1983 10  6330·
 1983 09  5628.
 1983 08  3036·
 1983 07  9251·
 1983 06  5445.
 1983 05  2834·
 1983 04  5532.
 1983 03  5928.
 1983 02  1915·
 1983 01  7622·
 1982 12 5424.
 1982 11 1720.
 1982 10 3927.
 1982 09 1346.
 1982 08 7137.
 1982 07 4245·
 1982 06 2034·
 1982 05 7622·
 1982 04 7522.
 1982 03 3427.
 1982 02 9533·
 1982 01 2932.
 1981 12  6025.
 1981 11  2025.
 1981 10  2032·
 1981 09  6027·
 1981 08  4538·
 1981 07  4834·
 1981 06  7737·
 1981 05  8027.
 1981 04  7530·
 1981 03  9622.
 1981 02  7226·
 1981 01  2918·
 1980 12 1819.
 1980 11 6230.
 1980 10 3736·
 1980 09 7028·
 1980 08 6935·
 1980 07 7339.
 1980 06 2841·
 1980 05 8931·
 1980 04 4727.
 1980 03 7925.
 1980 02 2821.
 1980 01 021.
 1979 12  9524.
 1979 11  5533·
 1979 10  4227·
 1979 09  4123.
 1979 08  8447·
 1979 07  252.
 1979 06  348·
 1979 05  7544.
 1979 04  627·
 1979 03  4422.
 1979 02  6816·
 1979 01  8923.
 1978 12 8221.
 1978 11 3320·
 1978 10 1725·
 1978 09 9727.
 1978 08 5638.
 1978 07 4454.
 1978 06 5754.
 1978 05 3631.
 1978 04 9622·
 1978 03 7716.
 1978 02 2111·
 1978 01 6921·
 1977 12  9720·
 1977 11  5822.
 1977 10  6410.
 1977 09  8525·
 1977 08  7838·
 1977 07  3733.
 1977 06  6858·
 1977 05  9637.
 1977 04  8322.
 1977 03  8916·
 1977 02  4119.
 1977 01  3919.
 1976 12 8119·
 1976 11 1521·
 1976 10 1324.
 1976 09 7932.
 1976 08 6739·
 1976 07 4047·
 1976 06 4250·
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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.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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