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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 18-19 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 30.
 2012 02 660·
 2012 01 930.
 2011 12  132.
 2011 11  533·
 2011 10  443.
 2011 09  490.
 2011 08  74.
 2011 07  190·
 2011 06  43
 2011 05  220·
 2011 04  370.
 2011 03  840.
 2011 02  730.
 2011 01  560.
 2010 12 780.
 2010 11 550·
 2010 10 750.
 2010 09 210·
 2010 08 300.
 2010 07 630.
 2010 06 90·
 2010 05 110·
 2010 04 19
 2010 03 65
 2010 02 653·
 2010 01 450·
 2009 12  950.
 2009 11  420·
 2009 10  550·
 2009 09  670.
 2009 08  331.
 2009 07  21·
 2009 06  172·
 2009 05  473.
 2009 04  351.
 2009 03  754·
 2008 10 133.
 2008 09 773.
 2008 08 244.
 2008 07 18
 2008 06 334·
 2007 09  796·
 2007 06  520.
 2007 05  131·
 2007 04  880.
 2007 02  952·
 2007 01  94
 2006 04 670.
 2006 03 171·
 2005 10  94
 2005 09  50
 2005 08  113.
 2005 07  824.
 2005 06  724.
 2005 05  461.
 2005 03  20·
 2004 09 723.
 2004 08 476.
 2004 07 333·
 2004 06 224·
 2004 05 996.
 2004 04 630.
 2004 03 840.
 2003 11  771.
 2003 09  11·
 2003 08  9010·
 2003 07  214·
 2003 06  985·
 2003 05  412.
 2003 03  212·
 2003 01  112·
 2002 12 442·
 2002 05 60.
 2002 03 752.
 2002 02 622·
 2002 01 943·
 2001 08  11
 2001 06  984·
 2001 02  304·
 2000 08 560·
 2000 07 920.
 2000 06 570·
 1999 06  165.
 1999 05  611·
 1999 04  13
 1999 03  483·
 1999 02  443·
 1999 01  672.
 1998 11 622.
 1998 10 885.
 1998 09 665.
 1998 08 540.
 1998 03 510·
 1997 11  230·
 1997 10  560·
 1997 09  290·
 1997 08  180.
 1997 07  220·
 1997 06  160.
 1997 05  240.
 1997 04  260.
 1997 03  780·
 1997 02  700·
 1997 01  961·
 1996 12 631·
 1996 11 113.
 1996 10 683.
 1996 09 263.
 1996 08 423·
 1996 07 650.
 1996 06 871.
 1996 05 214.
 1996 04 13.
 1996 03 9
 1996 02 272.
 1996 01 132·
 1995 12  32·
 1995 11  370.
 1995 10  130.
 1995 09  580.
 1995 08  351.
 1995 07  691.
 1995 05  951·
 1995 01  372.
 1994 12 110·
 1994 11 481·
 1994 10 490·
 1994 09 580.
 1994 08 680·
 1994 07 440.
 1994 06 751·
 1994 05 522.
 1994 04 703·
 1994 03 502·
 1994 02 982.
 1993 12  763·
 1993 11  31·
 1993 08  872·
 1993 07  703·
 1993 06  111.
 1993 01  825.
 1992 12 975.
 1992 11 653.
 1992 10 64
 1992 09 432.
 1992 08 514·
 1992 07 844.
 1992 06 674·
 1992 05 512.
 1992 01 421.
 1991 08  522·
 1991 07  764.
 1991 06  923·
 1991 05  893.
 1991 03  192.
 1991 02  732·
 1990 08 796.
 1990 07 376·
 1990 06 623.
 1990 05 64
 1990 04 52
 1990 02 552.
 1990 01 802·
 1989 11  821.
 1989 10  71
 1989 09  372.
 1989 08  984·
 1989 07  828.
 1989 06  265.
 1989 05  24.
 1989 04  686.
 1989 01  473·
 1988 12 293.
 1988 11 933.
 1988 10 643.
 1988 09 84
 1988 08 183.
 1988 07 823·
 1988 06 874.
 1988 05 22
 1988 04 572.
 1988 03 607·
 1988 02 624·
 1988 01 213.
 1987 12  315.
 1987 11  492·
 1987 10  402·
 1987 08  60
 1987 07  563·
 1987 06  913.
 1987 05  963·
 1987 04  471.
 1987 03  68
 1987 01  563.
 1986 11 30
 1986 10 14
 1986 09 311.
 1986 08 388·
 1986 07 684.
 1986 06 165·
 1986 04 331·
 1986 03 564·
 1986 02 612·
 1985 12  364·
 1985 11  855.
 1985 10  547.
 1985 09  835.
 1985 08  802.
 1985 07  278·
 1985 06  29.
 1985 05  354.
 1985 04  802.
 1985 03  214·
 1985 02  942.
 1984 11 423.
 1984 10 931.
 1984 09 541.
 1984 08 4811.
 1984 07 568.
 1984 06 05.
 1984 05 411.
 1984 03 97.
 1984 02 506·
 1984 01 76·
 1983 12  183.
 1983 11  463.
 1983 10  264·
 1983 09  474·
 1983 08  5012·
 1983 07  53
 1983 06  912·
 1983 05  765·
 1983 04  222.
 1983 03  501.
 1983 02  501·
 1983 01  763.
 1982 12 492.
 1982 11 80
 1982 10 234.
 1982 09 546.
 1982 08 686.
 1982 07 125.
 1982 06 297·
 1982 05 403·
 1982 04 434.
 1982 03 412.
 1982 02 945.
 1982 01 925.
 1981 12  612.
 1981 11  864·
 1981 10  68
 1981 09  914.
 1981 08  344·
 1981 07  91
 1981 06  269.
 1981 05  447.
 1981 04  24·
 1981 03  263·
 1981 02  684·
 1981 01  832·
 1980 12 2610.
 1980 11 833.
 1980 10 219.
 1980 09 649.
 1980 08 954·
 1980 07 8311·
 1980 06 3410.
 1980 05 6910.
 1980 04 214·
 1980 03 694.
 1980 02 831·
 1980 01 41.
 1979 12  435.
 1979 11  123.
 1979 10  695.
 1979 09  113.
 1979 08  237·
 1979 07  34.
 1979 05  165.
 1979 04  183·
 1979 03  502·
 1979 02  641.
 1978 12 753.
 1978 10 341.
 1978 09 362·
 1978 08 3812.
 1978 07 2115.
 1978 06 5811.
 1978 05 187·
 1978 04 957·
 1978 03 564.
 1978 02 202.
 1978 01 614.
 1977 12  272·
 1977 11  32.
 1977 10  783.
 1977 09  51
 1977 08  569.
 1977 07  1514·
 1977 06  137·
 1977 05  27·
 1977 04  246.
 1977 03  65
 1977 02  314.
 1976 10 516·
 1976 09 0
 1976 08 5411.
 1976 07 6514.
 1976 06 62
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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, 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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