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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 543·
 2012 03 111·
 2012 02 492.
 2012 01 355.
 2011 12  575·
 2011 11  73.
 2011 10  777·
 2011 09  9310.
 2011 08  5715.
 2011 07  328.
 2011 06  383.
 2011 05  815.
 2011 04  512.
 2011 03  682.
 2011 02  435.
 2011 01  433·
 2010 12 770·
 2010 11 232.
 2010 10 3112·
 2010 09 487·
 2010 08 7211·
 2010 07 2716.
 2010 06 6522.
 2010 05 917.
 2010 04 178.
 2010 03 384·
 2010 02 332·
 2010 01 90
 2009 12  613.
 2009 11  366.
 2009 10  473·
 2009 09  891.
 2009 08  806.
 2009 07  3015.
 2009 06  4615·
 2009 05  598·
 2009 04  747·
 2009 03  491.
 2009 02  926.
 2009 01  924.
 2008 12 697.
 2008 11 516·
 2008 10 738·
 2008 09 83.
 2008 08 1511.
 2008 07 17
 2008 06 322.
 2008 05 5211.
 2008 04 8810.
 2008 03 559.
 2008 02 197·
 2008 01 929·
 2007 12  889.
 2007 11  968.
 2007 10  8312.
 2007 09  227.
 2007 08  394·
 2007 07  969.
 2007 06  852·
 2007 05  621.
 2007 04  941·
 2007 03  362·
 2007 02  364·
 2007 01  553.
 2006 12 268·
 2006 11 2511·
 2006 10 75
 2006 09 723.
 2006 08 376.
 2006 07 935·
 2006 06 648.
 2006 05 55·
 2006 04 522.
 2006 03 973.
 2006 02 925·
 2006 01 753.
 2005 12  210.
 2005 11  185.
 2005 10  717·
 2005 09  255·
 2005 08  207.
 2005 07  6412.
 2005 06  397·
 2005 05  255.
 2005 04  485·
 2005 03  667.
 2005 02  604.
 2005 01  682.
 2004 12 323.
 2004 11 807·
 2004 10 204·
 2004 09 739.
 2004 08 2213·
 2004 07 8812.
 2004 06 3318·
 2004 05 866·
 2004 04 939.
 2004 03 984.
 2004 02 376·
 2004 01 757·
 2003 12  46
 2003 11  393.
 2003 10  953·
 2003 09  338.
 2003 08  613·
 2003 07  7012.
 2003 06  9414·
 2003 05  815.
 2003 04  223·
 2003 03  719.
 2003 02  484·
 2003 01  63
 2002 12 72
 2002 11 5010·
 2002 10 947.
 2002 09 472.
 2002 08 557·
 2002 07 388·
 2002 06 9515·
 2002 05 28
 2002 04 96
 2002 03 915.
 2002 02 393·
 2002 01 247.
 2001 12  477.
 2001 11  924·
 2001 10  39
 2001 09  814.
 2001 08  817·
 2001 07  4712.
 2001 06  338·
 2001 05  674.
 2001 04  05.
 2001 03  875·
 2001 02  844·
 2001 01  767.
 2000 12 309.
 2000 11 702.
 2000 10 799.
 2000 09 279·
 2000 08 2013·
 2000 07 7624.
 2000 06 3213.
 2000 05 656.
 2000 04 452·
 2000 03 135·
 2000 02 81
 2000 01 595.
 1999 12  78.
 1999 11  125·
 1999 10  885·
 1999 09  27·
 1999 08  3110.
 1999 07  3014.
 1999 06  419.
 1999 05  1510.
 1999 04  664.
 1999 03  487·
 1999 02  538·
 1999 01  414.
 1998 12 902.
 1998 11 736.
 1998 10 625.
 1998 09 487·
 1998 08 03.
 1998 07 374·
 1998 06 317.
 1998 05 339.
 1998 04 255.
 1998 03 974.
 1998 02 484.
 1998 01 126·
 1997 12  127.
 1997 11  337.
 1997 10  2512·
 1997 09  3213·
 1997 08  3916.
 1997 07  5316·
 1997 06  111.
 1997 05  60
 1997 04  512·
 1997 03  8814.
 1997 01  3914.
 1996 12 914·
 1996 11 366·
 1996 10 954·
 1996 09 2618.
 1996 08 4517·
 1996 07 8213·
 1996 06 567.
 1996 05 7512·
 1996 04 645.
 1996 03 1911·
 1996 02 774.
 1996 01 243·
 1995 12  1910.
 1995 11  468·
 1995 10  896·
 1995 09  363.
 1995 08  46·
 1995 07  906.
 1995 06  5111.
 1995 05  997.
 1995 04  3714.
 1995 03  111·
 1995 02  427.
 1995 01  2610·
 1994 12 638.
 1994 11 549·
 1994 10 707·
 1994 09 5512.
 1994 08 5110·
 1994 07 4914·
 1994 06 6610·
 1994 05 488.
 1994 04 953.
 1994 03 124·
 1994 02 882·
 1994 01 9411·
 1993 12  1411·
 1993 11  938.
 1993 10  168·
 1993 09  511·
 1993 08  5320.
 1993 07  6924·
 1993 06  5721.
 1993 05  1916·
 1993 04  8013.
 1993 03  3816·
 1993 02  4316.
 1993 01  08·
 1992 12 9014·
 1992 11 2714·
 1992 10 3111.
 1992 09 3414.
 1992 08 122.
 1992 07 8525·
 1992 06 326·
 1992 05 3618.
 1992 04 5916·
 1992 03 8910·
 1992 02 6415·
 1992 01 4210·
 1991 12  3116·
 1991 11  3815.
 1991 10  4621·
 1991 09  1619·
 1991 08  1335·
 1991 07  5931·
 1991 06  729·
 1991 05  4513·
 1991 04  2311.
 1991 03  120·
 1991 02  279·
 1991 01  436·
 1990 12 67·
 1990 11 3913.
 1990 10 146·
 1990 09 489·
 1990 08 3019·
 1990 07 7517.
 1990 06 9923.
 1990 05 2211·
 1990 04 9015·
 1990 03 3415.
 1990 02 3910.
 1990 01 5213.
 1989 12  511·
 1989 11  6510.
 1989 10  1517.
 1989 09  5312·
 1989 08  1931·
 1989 07  4527.
 1989 06  3422.
 1989 05  627.
 1989 04  114·
 1989 03  738·
 1989 02  2810.
 1989 01  4214·
 1988 12 4512·
 1988 11 769·
 1988 10 5314·
 1988 09 8019·
 1988 08 7126.
 1988 07 327.
 1988 06 9129.
 1988 05 9015.
 1988 04 2318·
 1988 03 3011.
 1988 02 4912·
 1988 01 1013·
 1987 12  6913·
 1987 11  5817·
 1987 10  5718.
 1987 09  112.
 1987 08  520.
 1987 07  1128.
 1987 06  7425·
 1987 05  5425·
 1987 04  4819·
 1987 03  4116·
 1987 02  8017.
 1987 01  798.
 1986 12 438·
 1986 11 2118·
 1986 10 8214.
 1986 09 1514·
 1986 08 6030·
 1986 07 5434.
 1986 06 1238·
 1986 05 2627·
 1986 04 9226·
 1986 03 6413·
 1986 02 2613·
 1986 01 9812·
 1985 12  599·
 1985 11  2
 1985 10  717·
 1985 09  4517.
 1985 08  527.
 1985 07  4227·
 1985 06  6035.
 1985 05  524.
 1985 04  9828.
 1985 03  8715.
 1985 02  1729.
 1985 01  4015·
 1984 12 3417·
 1984 11 6023.
 1984 10 3516.
 1984 09 3819·
 1984 08 3037.
 1984 07 1243·
 1984 06 9640.
 1984 05 1335·
 1984 04 3229·
 1984 03 1919.
 1984 02 715·
 1984 01 215·
 1983 12  919·
 1983 11  8130.
 1983 10  9832·
 1983 09  6827·
 1983 08  5452.
 1983 07  2349.
 1983 06  2645·
 1983 05  9932.
 1983 04  8624·
 1983 03  9626·
 1983 02  7424.
 1983 01  833·
 1982 12 5135·
 1982 11 7540.
 1982 10 4833.
 1982 09 3328.
 1982 08 1650.
 1982 07 6169·
 1982 06 7963·
 1982 05 3644.
 1982 04 7746·
 1982 03 7940.
 1982 02 2438·
 1982 01 639.
 1981 12  5223.
 1981 11  7938.
 1981 10  6544.
 1981 09  5548.
 1981 08  8650.
 1981 07  3761·
 1981 06  874.
 1981 05  2247·
 1981 04  4746·
 1981 03  5334.
 1981 02  8629.
 1981 01  6831.
 1980 12 2933.
 1980 11 5240.
 1980 10 5349.
 1980 09 8349.
 1980 08 5368·
 1980 07 8694·
 1980 06 9483.
 1980 05 7962·
 1980 04 6252·
 1980 03 2948.
 1980 02 1331.
 1980 01 9432.
 1979 12  2436·
 1979 11  8133·
 1979 10  4352.
 1979 09  9048.
 1979 08  3566·
 1979 07  6968.
 1979 06  4069.
 1979 05  5745.
 1979 04  1447.
 1979 03  4246·
 1979 02  8537.
 1979 01  530·
 1978 12 431·
 1978 11 7525·
 1978 10 8742·
 1978 09 7546·
 1978 08 7480·
 1978 07 7177.
 1978 06 7576·
 1978 05 2755·
 1978 04 2042.
 1978 03 5234·
 1978 02 736·
 1978 01 5145.
 1977 12  5946·
 1977 11  7144·
 1977 10  6550.
 1977 09  5946.
 1977 08  3776.
 1977 07  381·
 1977 06  5597.
 1977 05  8875.
 1977 04  2164·
 1977 03  4748·
 1977 02  834·
 1977 01  327.
 1976 12 824.
 1976 11 2940.
 1976 10 8256.
 1976 09 9155.
 1976 08 1482.
 1976 07 085·
 1976 06 5886·
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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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      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: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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