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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-17 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 243.
 2012 03 151·
 2012 02 982·
 2012 01 235.
 2011 12  684·
 2011 11  122·
 2011 10  365·
 2011 09  519·
 2011 08  488.
 2011 07  765·
 2011 06  453·
 2011 05  474.
 2011 04  1312.
 2011 03  902.
 2011 02  363.
 2011 01  543·
 2010 12 390.
 2010 11 582·
 2010 10 4710·
 2010 09 427·
 2010 08 277.
 2010 07 1413·
 2010 06 427·
 2010 05 4
 2010 04 14.
 2010 03 130.
 2010 02 80.
 2010 01 612·
 2009 12  122.
 2009 11  386·
 2009 10  583.
 2009 09  561·
 2009 08  35
 2009 07  9514·
 2009 06  3011·
 2009 05  588·
 2009 04  727.
 2009 03  161.
 2009 02  870·
 2009 01  61
 2008 12 463.
 2008 11 573.
 2008 10 168·
 2008 09 853·
 2008 08 9
 2008 07 998·
 2008 06 3213.
 2008 05 748·
 2008 04 368·
 2008 03 513.
 2008 02 714.
 2008 01 963·
 2007 12  283·
 2007 11  435·
 2007 10  96
 2007 09  464·
 2007 08  92·
 2007 07  325.
 2007 06  96
 2007 05  441.
 2007 04  310.
 2006 12 994·
 2006 11 83
 2006 10 33
 2006 09 68
 2006 08 513.
 2006 07 951.
 2006 06 824·
 2006 05 202.
 2006 04 212.
 2006 03 952.
 2006 02 855.
 2006 01 153.
 2005 12  630.
 2005 11  714.
 2005 10  634.
 2005 09  11.
 2005 08  614·
 2005 07  369·
 2005 06  586.
 2005 04  543·
 2005 03  214·
 2005 02  272.
 2005 01  402·
 2004 12 753.
 2004 11 747.
 2004 10 94.
 2004 09 36.
 2004 08 886.
 2004 07 77
 2004 06 67
 2004 05 661.
 2004 04 455.
 2004 03 121.
 2004 02 164.
 2004 01 744·
 2003 12  213.
 2003 11  852·
 2003 09  933·
 2003 08  951·
 2003 07  152·
 2003 06  284·
 2003 05  620.
 2003 04  242.
 2003 03  548·
 2003 02  973.
 2003 01  9
 2002 12 800.
 2002 11 886·
 2002 10 755.
 2002 09 482.
 2002 08 77·
 2002 07 926.
 2002 06 688.
 2002 05 177·
 2002 04 73
 2002 03 672.
 2002 01 72.
 2001 12  793·
 2001 11  744.
 2001 10  386·
 2001 09  494·
 2001 08  226·
 2001 07  2810.
 2001 06  558·
 2001 05  774.
 2001 04  585·
 2001 03  804.
 2001 02  944.
 2001 01  955·
 2000 12 256.
 2000 11 982.
 2000 10 556.
 2000 09 375.
 2000 08 879.
 2000 07 7818·
 2000 06 6413.
 2000 05 585.
 2000 03 303·
 2000 02 372·
 2000 01 715·
 1999 12  413.
 1999 11  695.
 1999 10  205.
 1999 09  516·
 1999 08  924·
 1999 07  418·
 1999 06  964·
 1999 05  55·
 1999 04  424.
 1999 03  87.
 1999 02  608.
 1999 01  584.
 1998 12 492.
 1998 11 604·
 1998 10 303.
 1998 09 613·
 1998 08 932.
 1998 07 71.
 1998 06 51
 1998 05 897.
 1998 04 83
 1998 03 901.
 1998 02 914.
 1998 01 426·
 1997 12  48
 1997 11  704.
 1997 10  455.
 1997 09  45
 1997 08  4612·
 1997 07  359·
 1997 06  336.
 1997 05  506.
 1997 04  597.
 1997 03  988·
 1997 02  970.
 1997 01  319.
 1996 12 934.
 1996 11 976.
 1996 10 84.
 1996 09 8918.
 1996 08 7915·
 1996 07 9512.
 1996 06 60
 1996 05 509.
 1996 04 753.
 1996 03 81
 1996 02 711.
 1996 01 633.
 1995 12  629·
 1995 11  656·
 1995 10  85
 1995 09  42.
 1995 08  475.
 1995 07  885.
 1995 06  738.
 1995 05  736·
 1995 04  6111·
 1995 03  117·
 1995 02  28
 1995 01  977.
 1994 12 618·
 1994 11 229.
 1994 10 68
 1994 09 245·
 1994 08 289.
 1994 07 3511·
 1994 06 407.
 1994 05 32
 1994 04 703·
 1994 03 872·
 1994 02 102.
 1994 01 194.
 1993 12  189·
 1993 11  41
 1993 10  746.
 1993 09  11
 1993 08  2815.
 1993 07  8512.
 1993 06  5112.
 1993 05  6015·
 1993 04  8313·
 1993 03  3213.
 1993 02  8515.
 1993 01  408.
 1992 12 8813.
 1992 11 1911·
 1992 10 448.
 1992 09 5110·
 1992 08 7617·
 1992 07 1019·
 1992 06 2421·
 1992 05 1914·
 1992 04 313.
 1992 03 938.
 1992 02 438.
 1992 01 945·
 1991 12  5010.
 1991 11  8010·
 1991 10  4613·
 1991 09  5314·
 1991 08  2528·
 1991 07  1020·
 1991 06  124.
 1991 05  947·
 1991 04  598·
 1991 03  4417·
 1991 02  39.
 1991 01  44
 1990 12 96·
 1990 11 7211·
 1990 10 716.
 1990 09 53
 1990 08 5516·
 1990 07 69.
 1990 06 4923·
 1990 05 9610·
 1990 04 610·
 1990 03 849.
 1990 02 58.
 1990 01 7411.
 1989 12  93
 1989 11  687.
 1989 10  3514.
 1989 09  1210·
 1989 08  7126·
 1989 07  4721.
 1989 06  5818.
 1989 05  605.
 1989 04  2412·
 1989 03  345.
 1989 02  179.
 1989 01  9510.
 1988 12 579·
 1988 11 667·
 1988 10 8211·
 1988 09 1514.
 1988 08 220.
 1988 07 618.
 1988 06 4619.
 1988 05 479·
 1988 04 1616·
 1988 03 439·
 1988 02 3010.
 1988 01 4211·
 1987 12  8013·
 1987 11  8814·
 1987 10  7718.
 1987 09  7311.
 1987 08  115.
 1987 07  8115.
 1987 06  5614.
 1987 05  4318.
 1987 04  1115.
 1987 03  8415.
 1987 02  619·
 1987 01  756.
 1986 12 678.
 1986 11 8417.
 1986 10 1213.
 1986 09 2210·
 1986 08 4922.
 1986 07 9525.
 1986 06 5319·
 1986 05 5720·
 1986 04 6521·
 1986 03 55
 1986 02 526.
 1986 01 828·
 1985 12  477.
 1985 11  266.
 1985 10  414·
 1985 09  2116.
 1985 08  5022.
 1985 07  9722·
 1985 06  2929.
 1985 05  2622.
 1985 04  5720.
 1985 03  7911.
 1985 02  6928·
 1985 01  7113·
 1984 12 7413·
 1984 11 1219.
 1984 10 9515.
 1984 09 5714·
 1984 08 3228.
 1984 07 5832.
 1984 06 132·
 1984 05 1029.
 1984 04 9025·
 1984 03 517.
 1984 02 514.
 1984 01 7913·
 1983 12  2719·
 1983 11  6529.
 1983 10  5228·
 1983 09  4023.
 1983 08  5146·
 1983 07  7744.
 1983 06  1138.
 1983 05  9427·
 1983 04  9320.
 1983 03  422.
 1983 02  7722·
 1983 01  6629.
 1982 12 1133·
 1982 11 3437·
 1982 10 6733·
 1982 09 625.
 1982 08 8537·
 1982 07 7855·
 1982 06 2750.
 1982 05 9044.
 1982 04 2342.
 1982 03 7637·
 1982 02 2533.
 1982 01 1837.
 1981 12  5520.
 1981 11  9030.
 1981 10  5634·
 1981 09  1530.
 1981 08  3937.
 1981 07  848·
 1981 06  3859·
 1981 05  3236.
 1981 04  5638·
 1981 03  4328.
 1981 02  1726.
 1981 01  4426·
 1980 12 1329.
 1980 11 3335·
 1980 10 6044·
 1980 09 5241.
 1980 08 4258.
 1980 07 4165.
 1980 06 6355·
 1980 05 8141·
 1980 04 9935.
 1980 03 5440·
 1980 02 4428·
 1980 01 8230·
 1979 12  6633.
 1979 11  8529·
 1979 10  4847·
 1979 09  2938.
 1979 08  4949.
 1979 07  7353.
 1979 06  4359·
 1979 05  2438.
 1979 04  8037·
 1979 03  8135·
 1979 02  2527.
 1979 01  9127·
 1978 12 1625.
 1978 11 9517.
 1978 10 1135·
 1978 09 8135.
 1978 08 3854·
 1978 07 3046.
 1978 06 4656.
 1978 05 6940·
 1978 04 5337.
 1978 03 2227·
 1978 02 9924.
 1978 01 5635·
 1977 12  9337·
 1977 11  3537·
 1977 10  6440.
 1977 09  6832.
 1977 08  1457·
 1977 07  5750.
 1977 06  6278.
 1977 05  5362.
 1977 04  9856.
 1977 03  142.
 1977 02  3433·
 1977 01  8921·
 1976 12 5223·
 1976 11 439·
 1976 10 5249·
 1976 09 7542.
 1976 08 660.
 1976 07 2959.
 1976 06 871.
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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, 16-17 years, Men: 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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