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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 270·
 2012 03 70
 2012 02 67
 2012 01 370·
 2011 12  270·
 2011 11  843·
 2011 10  583·
 2011 09  29
 2011 08  563.
 2011 07  590.
 2011 06  134.
 2011 05  820.
 2011 04  650·
 2011 03  761·
 2011 02  441·
 2011 01  403.
 2010 12 280.
 2010 11 423.
 2010 10 893·
 2010 09 723.
 2010 08 46
 2010 07 9010.
 2010 06 116·
 2010 05 74
 2010 04 444·
 2010 03 75
 2010 02 990.
 2010 01 630.
 2009 12  740.
 2009 11  790.
 2009 10  64
 2009 09  830·
 2009 08  90.
 2009 07  84·
 2009 06  454·
 2009 04  51·
 2009 03  51
 2008 06 965.
 2007 11  42·
 2007 08  220.
 2007 06  253·
 2007 05  973.
 2007 04  302.
 2006 11 543·
 2006 07 822·
 2006 05 941.
 2006 04 363·
 2006 03 433.
 2006 02 966.
 2005 08  942.
 2005 07  592·
 2005 06  60
 2005 03  680.
 2004 12 274.
 2004 09 623·
 2004 08 990·
 2004 06 240.
 2004 05 521·
 2003 09  330·
 2003 08  790.
 2003 07  143·
 2003 06  483·
 2003 03  850.
 2003 02  440.
 2002 10 130·
 2002 09 240·
 2002 08 560.
 2002 05 631.
 2002 01 217.
 2001 12  102.
 2001 11  91.
 2001 10  301·
 2001 06  653·
 2001 05  633.
 2001 04  313.
 2001 02  653·
 2001 01  94
 2000 12 653.
 2000 11 36
 2000 04 113.
 2000 03 851·
 2000 02 227.
 2000 01 626.
 1999 12  383.
 1999 11  366·
 1999 10  671.
 1999 09  714.
 1999 08  403·
 1999 07  743.
 1999 04  56
 1999 03  512.
 1998 11 35
 1998 10 492·
 1998 09 701.
 1998 08 155.
 1998 07 69
 1998 05 374·
 1997 12  160·
 1997 11  11·
 1997 10  107·
 1997 09  37
 1997 08  251.
 1997 07  721·
 1997 06  530·
 1997 05  761.
 1997 04  55
 1997 03  15
 1997 02  160·
 1997 01  31.
 1996 12 875·
 1996 11 453.
 1996 09 439·
 1996 08 944·
 1996 07 284.
 1996 04 983.
 1996 03 56.
 1996 02 502.
 1996 01 90·
 1995 12  370·
 1995 11  940.
 1995 08  952.
 1995 07  87
 1995 04  511·
 1995 03  310.
 1995 02  800.
 1995 01  431.
 1994 12 523.
 1994 11 594·
 1994 10 810.
 1994 09 850.
 1994 08 785·
 1994 06 471·
 1994 05 993.
 1994 02 43
 1994 01 936.
 1993 12  902·
 1993 11  572.
 1993 08  758·
 1993 07  835·
 1993 06  67·
 1993 05  77.
 1993 04  624.
 1993 03  624.
 1993 02  403.
 1993 01  243.
 1992 12 102·
 1992 11 6711·
 1992 10 613·
 1992 09 94.
 1992 08 528·
 1992 07 621.
 1992 06 643·
 1992 04 861.
 1992 03 453·
 1992 02 352.
 1992 01 662·
 1991 11  72.
 1991 10  681·
 1991 09  982·
 1991 08  132.
 1991 06  472·
 1991 05  301.
 1991 04  891·
 1991 03  736.
 1991 02  63·
 1991 01  634.
 1990 10 723·
 1990 08 411.
 1990 07 9
 1990 06 212.
 1990 04 331·
 1990 02 364·
 1990 01 73·
 1989 12  885.
 1989 11  875.
 1989 10  15.
 1989 09  752.
 1989 08  708·
 1989 07  707.
 1989 06  76.
 1989 05  142·
 1989 04  986.
 1989 03  465·
 1989 02  475·
 1989 01  494·
 1988 12 294·
 1988 11 22.
 1988 10 403.
 1988 09 305.
 1988 08 461·
 1988 07 523·
 1988 06 31
 1988 05 332.
 1988 04 537·
 1988 03 332.
 1988 02 894·
 1988 01 592·
 1987 12  842·
 1987 11  92.
 1987 10  71.
 1987 09  312·
 1987 08  956·
 1987 07  673·
 1987 06  52·
 1987 05  23.
 1987 04  661·
 1987 03  203.
 1987 02  272.
 1987 01  474.
 1986 12 62·
 1986 11 67·
 1986 10 4210.
 1986 09 655·
 1986 08 468·
 1986 07 877·
 1986 06 455·
 1986 05 824·
 1986 04 41
 1986 03 523.
 1986 02 54
 1986 01 482·
 1985 12  755.
 1985 11  14
 1985 10  143·
 1985 09  409·
 1985 08  5311·
 1985 07  1114·
 1985 06  949.
 1985 05  57
 1985 04  88·
 1985 03  510·
 1985 02  874.
 1984 12 252.
 1984 09 9510.
 1984 08 8414.
 1984 07 1411·
 1984 06 948.
 1984 05 9711.
 1984 04 613.
 1984 03 173·
 1984 02 395·
 1984 01 1913·
 1983 12  74
 1983 11  673·
 1983 10  619.
 1983 09  959.
 1983 08  8713·
 1983 07  5815·
 1983 06  8518.
 1983 05  8010.
 1983 04  8613.
 1983 03  88.
 1983 02  637·
 1983 01  569·
 1982 12 8510·
 1982 11 627.
 1982 10 685·
 1982 09 3024·
 1982 08 2123·
 1982 07 8816·
 1982 06 116.
 1982 05 337·
 1982 04 585·
 1982 03 8212·
 1982 02 8913.
 1982 01 228·
 1981 12  847.
 1981 11  623.
 1981 10  8012.
 1981 09  797·
 1981 08  1113·
 1981 07  7212.
 1981 06  5212·
 1981 05  106·
 1981 04  777·
 1981 03  817·
 1981 02  38·
 1981 01  476·
 1980 12 454·
 1980 11 859·
 1980 10 6016·
 1980 09 46
 1980 08 38.
 1980 07 112.
 1980 06 7215.
 1980 05 897.
 1980 04 6315.
 1980 03 739.
 1980 02 166.
 1980 01 846.
 1979 12  65
 1979 11  7214·
 1979 10  919·
 1979 09  609·
 1979 08  7018.
 1979 07  9122.
 1979 06  2421·
 1979 05  7614·
 1979 04  679.
 1979 03  497·
 1979 02  633.
 1979 01  137·
 1978 12 684·
 1978 11 913·
 1978 10 859.
 1978 09 7711.
 1978 08 1216.
 1978 07 8522·
 1978 06 9125.
 1978 05 012.
 1978 04 6111.
 1978 03 269.
 1978 02 56.
 1978 01 398.
 1977 12  38·
 1977 11  3311·
 1977 10  787·
 1977 09  758·
 1977 08  5018.
 1977 07  5018·
 1977 06  8526.
 1977 05  1419.
 1977 04  426·
 1977 03  464.
 1977 02  275.
 1977 01  904.
 1976 12 415·
 1976 11 156.
 1976 10 2911·
 1976 09 5811.
 1976 08 3417·
 1976 07 7619.
 1976 06 4117·
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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, 20-24 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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