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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 18-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 280.
 2012 03 870.
 2012 02 150.
 2012 01 78
 2011 12  652·
 2011 11  676.
 2011 10  785·
 2011 09  21
 2011 08  06.
 2011 07  773.
 2011 06  728·
 2011 05  9310·
 2011 04  82
 2011 03  983.
 2011 02  124·
 2011 01  394.
 2010 12 883.
 2010 11 37
 2010 10 349·
 2010 09 295.
 2010 08 182·
 2010 07 256·
 2010 06 310·
 2010 05 567·
 2010 04 977.
 2010 03 206·
 2010 02 55.
 2010 01 390·
 2009 12  755.
 2009 11  35.
 2009 10  535.
 2009 09  238.
 2009 08  298.
 2009 07  81
 2009 06  8716·
 2009 05  776.
 2009 04  575.
 2009 03  847·
 2009 01  676.
 2008 12 954·
 2008 11 870.
 2008 10 714·
 2008 09 834·
 2008 08 955.
 2008 07 6717.
 2008 06 2213.
 2008 05 476.
 2008 04 236·
 2008 03 743.
 2008 02 445.
 2008 01 973.
 2007 12  473·
 2007 10  8
 2007 09  697.
 2007 08  961·
 2007 07  621.
 2007 06  944.
 2007 05  53
 2007 04  321·
 2007 03  862.
 2007 02  832·
 2007 01  782.
 2006 12 183.
 2006 11 640·
 2006 08 507.
 2006 07 513·
 2006 06 912.
 2006 05 650.
 2006 04 952·
 2006 03 41.
 2006 01 15
 2005 11  830·
 2005 10  457.
 2005 09  928·
 2005 08  775·
 2005 07  379.
 2005 06  488.
 2005 05  987·
 2005 04  90
 2005 03  722.
 2005 02  816·
 2005 01  284.
 2004 12 931.
 2004 11 554.
 2004 10 442·
 2004 09 144·
 2004 08 4810·
 2004 07 838.
 2004 06 624·
 2004 05 129.
 2004 04 426.
 2004 03 736·
 2004 02 872·
 2003 12  53.
 2003 11  902·
 2003 10  703.
 2003 09  925.
 2003 08  9912·
 2003 07  2820·
 2003 06  4314·
 2003 05  79
 2003 04  252·
 2003 03  202.
 2003 01  862.
 2002 12 736.
 2002 11 405·
 2002 10 549.
 2002 09 196·
 2002 08 247.
 2002 07 263.
 2002 06 422.
 2002 05 842.
 2002 04 81.
 2002 03 892.
 2002 02 222.
 2002 01 534.
 2001 12  260·
 2001 11  610·
 2001 10  572·
 2001 08  1810.
 2001 07  10·
 2001 06  994.
 2001 04  363.
 2001 03  993·
 2001 02  864·
 2000 12 844·
 2000 11 714·
 2000 10 408.
 2000 09 5510.
 2000 08 233·
 2000 07 992·
 2000 06 100·
 2000 04 95.
 2000 03 486.
 2000 02 842.
 2000 01 36·
 1999 12  723.
 1999 11  155.
 1999 10  144.
 1999 09  394·
 1999 08  9614.
 1999 07  512·
 1999 06  112·
 1999 05  628·
 1999 04  575.
 1999 03  277·
 1999 02  846.
 1999 01  402·
 1998 12 534·
 1998 11 106·
 1998 10 2611·
 1998 09 6817·
 1998 08 1112.
 1998 07 124.
 1998 06 1313.
 1998 05 645.
 1998 04 811.
 1998 03 1512.
 1998 02 593.
 1998 01 744.
 1997 12  380·
 1997 11  250·
 1997 10  32·
 1997 09  671.
 1997 08  8411.
 1997 07  739.
 1997 06  67.
 1997 05  354·
 1997 04  429.
 1997 03  1711.
 1997 02  581.
 1997 01  02.
 1996 12 644.
 1996 11 377·
 1996 10 6910.
 1996 09 313.
 1996 08 2514·
 1996 07 4211.
 1996 06 8012·
 1996 05 1610.
 1996 04 2610.
 1996 03 6111.
 1996 02 525·
 1996 01 3211·
 1995 12  914·
 1995 11  535.
 1995 10  735.
 1995 09  693·
 1995 08  723.
 1995 07  982·
 1995 06  564.
 1995 05  738·
 1995 04  438·
 1995 03  37.
 1995 02  405.
 1995 01  135·
 1994 12 44·
 1994 11 08·
 1994 10 874.
 1994 09 827·
 1994 08 83
 1994 07 4513·
 1994 06 849.
 1994 05 999·
 1994 04 288.
 1994 03 21
 1994 02 467·
 1994 01 101·
 1993 12  155·
 1993 11  332·
 1993 10  94·
 1993 08  8215·
 1993 07  4518·
 1993 06  1416.
 1993 05  36
 1993 04  10
 1993 03  4217.
 1993 02  204.
 1993 01  1617.
 1992 12 1410.
 1992 11 5812·
 1992 10 326·
 1992 09 625·
 1992 08 3715.
 1992 07 6714.
 1992 06 5812.
 1992 05 107·
 1992 04 485.
 1992 03 716·
 1992 02 291·
 1992 01 253.
 1991 12  422.
 1991 11  94
 1991 10  14·
 1991 09  943·
 1991 08  387.
 1991 07  8713.
 1991 06  5715·
 1991 05  3011.
 1991 04  808·
 1991 03  2513·
 1991 02  28.
 1991 01  706·
 1990 12 374·
 1990 11 97.
 1990 10 696.
 1990 09 796·
 1990 08 319.
 1990 07 6415·
 1990 06 1415.
 1990 05 4312.
 1990 04 986.
 1990 03 405.
 1990 02 1911·
 1990 01 758.
 1989 12  659·
 1989 11  13
 1989 10  903·
 1989 09  14
 1989 08  7314·
 1989 07  8317.
 1989 06  6017·
 1989 05  2211·
 1989 04  1811.
 1989 03  768.
 1989 02  844.
 1989 01  8711·
 1988 12 174·
 1988 11 427.
 1988 10 448.
 1988 09 228.
 1988 08 1517·
 1988 07 5622·
 1988 06 4812·
 1988 05 6623·
 1988 04 8217.
 1988 03 1916.
 1988 02 269·
 1988 01 8015·
 1987 12  118·
 1987 11  567·
 1987 10  3513·
 1987 09  5212.
 1987 08  2122.
 1987 07  1817.
 1987 06  5822·
 1987 05  9724·
 1987 04  5718·
 1987 03  7916.
 1987 02  03.
 1987 01  51
 1986 12 8812·
 1986 11 419.
 1986 10 9311.
 1986 09 779.
 1986 08 724.
 1986 07 2924·
 1986 06 9416.
 1986 05 6313·
 1986 04 3513·
 1986 03 9221·
 1986 02 8416·
 1986 01 23
 1985 12  1510·
 1985 11  810·
 1985 10  719.
 1985 09  9414.
 1985 08  1619·
 1985 07  7526.
 1985 06  8527·
 1985 05  3923·
 1985 04  3221·
 1985 03  1917·
 1985 02  8412.
 1985 01  4512·
 1984 12 8412·
 1984 11 9116·
 1984 10 489.
 1984 09 279.
 1984 08 1426·
 1984 07 6623·
 1984 06 8617.
 1984 05 2014·
 1984 04 9112·
 1984 03 4520·
 1984 02 2816.
 1984 01 9021·
 1983 12  1122·
 1983 11  5220·
 1983 10  3022·
 1983 09  2318.
 1983 08  9235·
 1983 07  3936.
 1983 06  7648.
 1983 05  3226.
 1983 04  7920.
 1983 03  8015.
 1983 02  7014·
 1983 01  5518·
 1982 12 3915·
 1982 11 7625.
 1982 10 4620.
 1982 09 5624.
 1982 08 6926.
 1982 07 5325.
 1982 06 5935·
 1982 05 2121·
 1982 04 8617.
 1982 03 6015.
 1982 02 9121·
 1982 01 6527·
 1981 12  3516.
 1981 11  7419·
 1981 10  4913.
 1981 09  2420.
 1981 08  8535.
 1981 07  9432·
 1981 06  6436.
 1981 05  6137·
 1981 04  3024.
 1981 03  4625.
 1981 02  9416.
 1981 01  6617·
 1980 12 8925·
 1980 11 8117·
 1980 10 1931.
 1980 09 4932.
 1980 08 731.
 1980 07 7337.
 1980 06 4741.
 1980 05 5040·
 1980 04 5328·
 1980 03 2323.
 1980 02 916·
 1980 01 3116.
 1979 12  2018·
 1979 11  5717·
 1979 10  6124.
 1979 09  8132·
 1979 08  2833·
 1979 07  2528.
 1979 06  8534.
 1979 05  1125.
 1979 04  2022·
 1979 03  215·
 1979 02  8923·
 1979 01  6021.
 1978 12 6826·
 1978 11 8917·
 1978 10 319·
 1978 09 9127.
 1978 08 6338.
 1978 07 1152.
 1978 06 8444.
 1978 05 9121·
 1978 04 2623.
 1978 03 1819·
 1978 02 1515.
 1978 01 7420·
 1977 12  016.
 1977 11  8717.
 1977 10  020.
 1977 09  7818·
 1977 08  5541.
 1977 07  1657·
 1977 06  7344·
 1977 05  6540·
 1977 04  8538·
 1977 03  3322·
 1977 02  9019·
 1977 01  2334·
 1976 12 926·
 1976 11 8619·
 1976 10 3240.
 1976 09 6532·
 1976 08 7156·
 1976 07 5163·
 1976 06 648.
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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, 18-19 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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