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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 30·
 2012 03 990·
 2012 02 450.
 2012 01 440.
 2011 12  224·
 2011 11  84·
 2011 10  335·
 2011 09  592.
 2011 08  2610.
 2011 07  344.
 2011 06  410.
 2011 05  912·
 2011 04  650.
 2011 03  590.
 2011 02  812·
 2011 01  850.
 2010 12 16
 2010 11 890.
 2010 10 92
 2010 09 90·
 2010 08 773·
 2010 07 563.
 2010 06 3615.
 2010 05 593.
 2010 04 75
 2010 03 177·
 2010 02 14.
 2010 01 521·
 2009 12  612·
 2009 11  540·
 2009 10  00·
 2009 09  340.
 2009 08  82·
 2009 07  732·
 2009 06  716·
 2009 05  723·
 2009 04  191·
 2009 03  54·
 2009 02  775·
 2009 01  623.
 2008 12 18
 2008 11 8
 2008 10 63·
 2008 09 233.
 2008 08 556·
 2008 07 629.
 2008 06 7112·
 2008 05 984.
 2008 04 63.
 2008 03 766.
 2008 02 9
 2008 01 586.
 2007 12  726.
 2007 11  793·
 2007 10  846.
 2007 09  959.
 2007 08  782·
 2007 07  303.
 2007 06  831.
 2007 05  291·
 2007 04  731.
 2007 03  92.
 2007 02  197.
 2007 01  45.
 2006 12 344.
 2006 11 234.
 2006 10 301·
 2006 08 903.
 2006 07 625·
 2006 06 45.
 2006 05 803.
 2006 04 811·
 2006 03 802·
 2005 11  80·
 2005 10  556.
 2005 09  957·
 2005 08  406·
 2005 07  187.
 2005 06  694·
 2005 05  776·
 2005 04  182·
 2005 03  39
 2005 02  602.
 2004 09 955.
 2004 08 1312.
 2004 07 413.
 2004 06 9016·
 2004 05 4511.
 2004 04 50
 2004 03 693.
 2004 02 482.
 2004 01 453·
 2003 11  811.
 2003 10  153.
 2003 09  465.
 2003 08  4022·
 2003 07  8125·
 2003 06  5015·
 2003 05  226.
 2003 04  981·
 2003 03  503.
 2003 02  51.
 2003 01  40
 2002 12 134.
 2002 11 134·
 2002 10 362.
 2002 07 872.
 2002 06 66·
 2002 05 212.
 2002 03 265·
 2002 02 755·
 2002 01 197·
 2001 12  505.
 2001 10  80
 2001 08  437·
 2001 07  222·
 2001 06  994.
 2001 05  310·
 2001 03  540.
 2001 02  104·
 2001 01  942.
 2000 12 353·
 2000 10 96
 2000 09 14.
 2000 08 854.
 2000 07 747.
 2000 06 810·
 2000 05 391.
 2000 04 492.
 2000 03 542·
 1999 12  485.
 1999 09  951.
 1999 08  846.
 1999 07  86.
 1999 06  599.
 1999 05  606.
 1999 04  17
 1999 03  913·
 1999 02  13.
 1999 01  56
 1998 11 98
 1998 10 857.
 1998 09 899·
 1998 08 261·
 1998 07 3
 1998 06 982.
 1998 05 602·
 1998 04 392·
 1998 03 313.
 1998 02 600.
 1997 12  772·
 1997 11  893·
 1997 10  87.
 1997 09  28
 1997 08  285.
 1997 07  967.
 1997 06  854.
 1997 05  84
 1997 04  256·
 1997 03  46.
 1997 01  376·
 1996 12 351·
 1996 11 63.
 1996 10 813·
 1996 09 643.
 1996 08 124.
 1996 07 351·
 1996 06 221.
 1996 05 928.
 1996 04 725.
 1996 03 08·
 1996 02 46
 1996 01 712·
 1995 12  973·
 1995 11  122.
 1995 10  97
 1995 09  761.
 1995 08  923.
 1995 07  113·
 1995 06  452·
 1995 05  82·
 1995 04  903·
 1995 03  583.
 1995 01  834·
 1994 11 93
 1994 10 482.
 1994 09 426.
 1994 08 312.
 1994 07 80
 1994 06 474.
 1994 05 762·
 1994 04 323.
 1994 03 46
 1994 02 932.
 1994 01 986·
 1993 12  575·
 1993 11  894.
 1993 10  191.
 1993 09  703.
 1993 08  988·
 1993 07  3715.
 1993 06  8110·
 1993 05  81
 1993 03  753.
 1993 01  396.
 1992 12 606.
 1992 11 437.
 1992 10 334.
 1992 09 705·
 1992 08 6410.
 1992 07 9410·
 1992 06 4010.
 1992 05 326.
 1992 04 233.
 1992 03 972.
 1992 02 916.
 1992 01 495.
 1991 12  956.
 1991 11  405.
 1991 10  58.
 1991 09  716.
 1991 08  618·
 1991 07  3615.
 1991 06  258·
 1991 05  759·
 1991 04  283·
 1991 03  235.
 1991 02  222.
 1991 01  611·
 1990 12 281.
 1990 11 642·
 1990 09 882·
 1990 08 539·
 1990 07 1613.
 1990 06 463·
 1990 05 443.
 1990 04 36·
 1990 03 754.
 1990 02 824.
 1990 01 344·
 1989 12  854.
 1989 11  124·
 1989 10  115.
 1989 09  255.
 1989 08  1
 1989 07  5813·
 1989 06  949.
 1989 05  146·
 1989 04  759.
 1989 03  693·
 1989 01  216·
 1988 12 185·
 1988 11 586·
 1988 10 286.
 1988 09 48.
 1988 08 8310.
 1988 07 2512·
 1988 06 4014·
 1988 05 819.
 1988 04 765·
 1988 03 788.
 1988 02 386·
 1988 01 156·
 1987 12  934·
 1987 11  404.
 1987 10  792.
 1987 08  9310.
 1987 07  5216·
 1987 06  6214·
 1987 05  4310.
 1987 04  295.
 1987 03  984·
 1987 02  21
 1987 01  385·
 1986 11 601·
 1986 10 03.
 1986 09 165·
 1986 08 9416.
 1986 07 5013.
 1986 06 5124·
 1986 05 726·
 1986 04 707.
 1986 03 869.
 1986 02 719·
 1986 01 415·
 1985 12  466.
 1985 11  815.
 1985 10  5
 1985 09  967·
 1985 08  298.
 1985 07  7313·
 1985 06  2016·
 1985 05  406·
 1985 04  5110.
 1985 03  257·
 1985 02  13
 1985 01  972·
 1984 12 68
 1984 11 248·
 1984 10 02·
 1984 09 186.
 1984 08 6220·
 1984 07 8519·
 1984 06 2713·
 1984 05 778.
 1984 04 404.
 1984 03 439·
 1984 02 648.
 1984 01 767·
 1983 12  333·
 1983 11  643·
 1983 10  3
 1983 09  408·
 1983 08  9819.
 1983 07  337.
 1983 06  6419.
 1983 05  1911.
 1983 04  166.
 1983 03  654.
 1983 02  914·
 1983 01  887.
 1982 12 954.
 1982 11 97
 1982 10 544.
 1982 09 48
 1982 08 6519·
 1982 07 9219·
 1982 06 4620·
 1982 05 253.
 1982 04 847·
 1982 03 386·
 1982 02 879.
 1982 01 698·
 1981 12  335·
 1981 11  4813·
 1981 10  2114.
 1981 09  5422·
 1981 08  1916.
 1981 07  6020·
 1981 06  1724.
 1981 05  8218·
 1981 04  7313.
 1981 03  369·
 1981 02  698.
 1981 01  787·
 1980 12 5314·
 1980 11 648·
 1980 10 9614·
 1980 09 9316·
 1980 08 3913·
 1980 07 5839.
 1980 06 4238·
 1980 05 029.
 1980 04 3820.
 1980 03 5511·
 1980 02 774.
 1980 01 34.
 1979 12  828.
 1979 11  187.
 1979 10  9510.
 1979 09  2421.
 1979 08  2823·
 1979 07  3618·
 1979 06  148.
 1979 05  1512.
 1979 04  5712.
 1979 03  2011.
 1979 02  799·
 1979 01  523.
 1978 12 769.
 1978 11 98.
 1978 10 608.
 1978 09 3412.
 1978 08 1637·
 1978 07 6645·
 1978 06 4930.
 1978 05 8721·
 1978 04 3411·
 1978 03 7810.
 1978 02 6713.
 1978 01 6215·
 1977 12  1311·
 1977 11  5910.
 1977 10  5713.
 1977 09  3413·
 1977 08  5827.
 1977 07  4644·
 1977 06  8925.
 1977 05  220·
 1977 04  014·
 1977 03  311.
 1977 02  575·
 1977 01  935·
 1976 12 980·
 1976 10 1613.
 1976 09 8016.
 1976 08 5831.
 1976 07 3238.
 1976 06 023.
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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







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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years, Women: 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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