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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 553·
 2012 03 211·
 2012 02 372.
 2012 01 738.
 2011 12  268·
 2011 11  939.
 2011 10  7412.
 2011 09  9913·
 2011 08  7720.
 2011 07  7711.
 2011 06  2511.
 2011 05  3515.
 2011 04  5618·
 2011 03  52
 2011 02  29.
 2011 01  277.
 2010 12 413.
 2010 11 286.
 2010 10 4421·
 2010 09 4312.
 2010 08 3013·
 2010 07 3323.
 2010 06 1232·
 2010 05 7814.
 2010 04 4914.
 2010 03 2710·
 2010 02 966·
 2010 01 514·
 2009 12  509·
 2009 11  9011·
 2009 10  79.
 2009 09  59·
 2009 08  614.
 2009 07  2823.
 2009 06  8431.
 2009 05  1014·
 2009 04  2012·
 2009 03  748.
 2009 02  896.
 2009 01  6110·
 2008 12 1511.
 2008 11 846·
 2008 10 1212·
 2008 09 766.
 2008 08 4216.
 2008 07 4027·
 2008 06 6335·
 2008 05 9918·
 2008 04 7717·
 2008 03 4812.
 2008 02 8212·
 2008 01 012.
 2007 12  2112.
 2007 11  408·
 2007 10  3113·
 2007 09  7314·
 2007 08  985.
 2007 07  739·
 2007 06  997·
 2007 05  367.
 2007 04  581.
 2007 03  284.
 2007 02  977.
 2007 01  345·
 2006 12 7911·
 2006 11 1211·
 2006 10 644.
 2006 09 37
 2006 08 5813.
 2006 07 568.
 2006 06 6310.
 2006 05 385·
 2006 04 235.
 2006 03 184.
 2006 02 81
 2006 01 565·
 2005 12  240·
 2005 11  79
 2005 10  3214.
 2005 09  3613·
 2005 08  3512.
 2005 07  4522.
 2005 06  5415·
 2005 05  4612.
 2005 04  5710.
 2005 03  489·
 2005 02  910·
 2005 01  826·
 2004 12 174·
 2004 11 4611.
 2004 10 856·
 2004 09 6113.
 2004 08 6323·
 2004 07 1820.
 2004 06 9522·
 2004 05 2816·
 2004 04 7115.
 2004 03 7310.
 2004 02 778.
 2004 01 537·
 2003 12  436.
 2003 11  414.
 2003 10  945.
 2003 09  2913.
 2003 08  224.
 2003 07  8032.
 2003 06  3428·
 2003 05  7611.
 2003 04  15·
 2003 03  7011.
 2003 02  104·
 2003 01  377·
 2002 12 139·
 2002 11 1915·
 2002 10 5916.
 2002 09 828.
 2002 08 4014·
 2002 07 5911·
 2002 06 4417·
 2002 05 511.
 2002 04 68.
 2002 03 45
 2002 02 545.
 2002 01 2511·
 2001 12  637·
 2001 11  604.
 2001 10  18.
 2001 09  874.
 2001 08  8517.
 2001 07  1013.
 2001 06  2412.
 2001 05  584.
 2001 04  73
 2001 03  278.
 2001 02  84
 2001 01  357·
 2000 12 5213·
 2000 11 686.
 2000 10 7017.
 2000 09 3519·
 2000 08 7416.
 2000 07 1327·
 2000 06 9514.
 2000 05 26·
 2000 04 127.
 2000 03 7111·
 2000 02 97
 2000 01 710.
 1999 12  6811.
 1999 11  7110.
 1999 10  389·
 1999 09  4311·
 1999 08  6624·
 1999 07  7226·
 1999 06  721·
 1999 05  2919.
 1999 04  589·
 1999 03  5414·
 1999 02  1614.
 1999 01  96.
 1998 12 197.
 1998 11 2512·
 1998 10 316.
 1998 09 5324.
 1998 08 4915·
 1998 07 167.
 1998 06 3220.
 1998 05 5514·
 1998 04 736·
 1998 03 8316.
 1998 02 898·
 1998 01 339.
 1997 12  427·
 1997 11  88.
 1997 10  8914.
 1997 09  3215.
 1997 08  3228·
 1997 07  9925·
 1997 06  6817·
 1997 05  2213.
 1997 04  4121·
 1997 03  8625·
 1997 02  901·
 1997 01  9516·
 1996 12 978.
 1996 11 2614.
 1996 10 4314·
 1996 09 7231·
 1996 08 5031·
 1996 07 025.
 1996 06 3919·
 1996 05 9722·
 1996 04 7415.
 1996 03 1721.
 1996 02 169·
 1996 01 3814.
 1995 12  7114.
 1995 11  612.
 1995 10  3811·
 1995 09  896.
 1995 08  6510.
 1995 07  258.
 1995 06  9215.
 1995 05  7116·
 1995 04  622·
 1995 03  5518.
 1995 02  9112·
 1995 01  2715·
 1994 12 7211.
 1994 11 417·
 1994 10 7311.
 1994 09 2619·
 1994 08 6118·
 1994 07 227·
 1994 06 020.
 1994 05 6216·
 1994 04 9911.
 1994 03 612.
 1994 02 6210.
 1994 01 5512.
 1993 12  3716.
 1993 11  9810·
 1993 10  7011.
 1993 09  4811.
 1993 08  5035.
 1993 07  8542·
 1993 06  6237·
 1993 05  1123.
 1993 04  3821.
 1993 03  9833.
 1993 02  220·
 1993 01  3825·
 1992 12 2725·
 1992 11 9426.
 1992 10 7717·
 1992 09 4818.
 1992 08 6637.
 1992 07 5439.
 1992 06 138.
 1992 05 8625·
 1992 04 3321·
 1992 03 8616·
 1992 02 1016.
 1992 01 1913·
 1991 12  2618·
 1991 11  2020.
 1991 10  6925.
 1991 09  4323.
 1991 08  7242·
 1991 07  1444·
 1991 06  6443·
 1991 05  7723·
 1991 04  2019·
 1991 03  4832·
 1991 02  917·
 1991 01  6412·
 1990 12 4611·
 1990 11 3120.
 1990 10 4211.
 1990 09 7515.
 1990 08 5137·
 1990 07 9332·
 1990 06 2537.
 1990 05 223.
 1990 04 5921.
 1990 03 9019.
 1990 02 4620·
 1990 01 6521·
 1989 12  2220.
 1989 11  515.
 1989 10  1920.
 1989 09  921·
 1989 08  1544.
 1989 07  4544·
 1989 06  8138.
 1989 05  218.
 1989 04  3725·
 1989 03  4016.
 1989 02  9514.
 1989 01  3924·
 1988 12 1516·
 1988 11 4817·
 1988 10 4922.
 1988 09 3927.
 1988 08 9843.
 1988 07 5049·
 1988 06 5641.
 1988 05 4538·
 1988 04 6335·
 1988 03 5327.
 1988 02 5421·
 1988 01 2729.
 1987 12  1020·
 1987 11  8924.
 1987 10  530.
 1987 09  8023·
 1987 08  6343.
 1987 07  1345·
 1987 06  9847·
 1987 05  2248.
 1987 04  7437.
 1987 03  832.
 1987 02  4620·
 1987 01  9716·
 1986 12 1720.
 1986 11 8126·
 1986 10 8526·
 1986 09 7524.
 1986 08 9455.
 1986 07 6358.
 1986 06 8054.
 1986 05 4940·
 1986 04 2939·
 1986 03 1034.
 1986 02 1829.
 1986 01 4020.
 1985 12  7320.
 1985 11  416·
 1985 10  1226·
 1985 09  9031·
 1985 08  146.
 1985 07  5353·
 1985 06  062.
 1985 05  6947.
 1985 04  1448·
 1985 03  8732.
 1985 02  4441.
 1985 01  7227·
 1984 12 3729.
 1984 11 6340.
 1984 10 3425·
 1984 09 1728.
 1984 08 2163·
 1984 07 6365·
 1984 06 8057·
 1984 05 4949.
 1984 04 4040.
 1984 03 9439·
 1984 02 2332·
 1984 01 3736·
 1983 12  9641.
 1983 11  8750·
 1983 10  2354·
 1983 09  7446.
 1983 08  1387·
 1983 07  9885.
 1983 06  7093·
 1983 05  8058.
 1983 04  4343·
 1983 03  1041·
 1983 02  7639.
 1983 01  9952.
 1982 12 5949.
 1982 11 2964·
 1982 10 7953.
 1982 09 152.
 1982 08 6476.
 1982 07 8794·
 1982 06 4198.
 1982 05 7965·
 1982 04 8262·
 1982 03 4055·
 1982 02 5259·
 1982 01 5366.
 1981 12  6340.
 1981 11  7058.
 1981 10  2357·
 1981 09  6668.
 1981 08  8484.
 1981 07  8493·
 1981 06  93111.
 1981 05  8883.
 1981 04  4470.
 1981 03  1359·
 1981 02  2445·
 1981 01  1348·
 1980 12 6859.
 1980 11 1458·
 1980 10 580.
 1980 09 6080.
 1980 08 899.
 1980 07 68132.
 1980 06 48125·
 1980 05 73102·
 1980 04 3979.
 1980 03 8371·
 1980 02 9147.
 1980 01 2249.
 1979 12  6054·
 1979 11  8950.
 1979 10  9776·
 1979 09  079·
 1979 08  9899·
 1979 07  4497.
 1979 06  54104.
 1979 05  2770.
 1979 04  268.
 1979 03  2961.
 1979 02  7460.
 1979 01  4752.
 1978 12 4859.
 1978 11 5143·
 1978 10 9760·
 1978 09 2972·
 1978 08 37117·
 1978 07 41129·
 1978 06 84120.
 1978 05 6675·
 1978 04 9464·
 1978 03 5653·
 1978 02 2351.
 1978 01 7967·
 1977 12  7063.
 1977 11  7862·
 1977 10  2870·
 1977 09  1263·
 1977 08  38116·
 1977 07  13138.
 1977 06  36140·
 1977 05  33114·
 1977 04  1101.
 1977 03  9369.
 1977 02  1054.
 1977 01  3661·
 1976 12 8450.
 1976 11 7559·
 1976 10 3995.
 1976 09 4187·
 1976 08 36137·
 1976 07 40147.
 1976 06 34133.
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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, 16-19 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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