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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 16-17 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 640·
 2012 03 100·
 2012 02 680·
 2012 01 730.
 2011 12  83
 2011 11  581·
 2011 10  600·
 2011 09  810.
 2011 08  940.
 2011 07  302.
 2011 06  770·
 2011 05  120·
 2011 04  460.
 2011 03  6
 2011 02  330·
 2011 01  110.
 2010 12 160·
 2010 11 950·
 2010 10 660.
 2010 09 47
 2010 08 30·
 2010 07 27
 2010 06 390·
 2010 05 140.
 2010 04 330.
 2010 03 593.
 2010 02 391.
 2010 01 311.
 2009 12  561.
 2009 11  720.
 2009 10  790.
 2009 09  43
 2009 08  484·
 2009 07  740·
 2009 06  980·
 2009 01  183·
 2008 07 95·
 2008 06 96
 2008 05 582.
 2008 04 51
 2008 03 654·
 2008 01 95
 2007 07  467·
 2007 06  61
 2007 05  651.
 2007 04  512.
 2007 03  77
 2007 02  917.
 2007 01  86
 2006 12 736.
 2006 11 882·
 2006 10 120.
 2006 05 273.
 2006 01 910·
 2005 11  413.
 2005 07  166·
 2005 06  144·
 2005 03  623·
 2005 02  2510·
 2004 12 254·
 2004 09 982.
 2004 07 693.
 2004 06 524.
 2004 05 807.
 2004 04 53
 2003 10  16
 2003 08  616.
 2003 06  523.
 2003 05  813.
 2003 04  371·
 2002 11 143.
 2002 10 360·
 2002 09 60·
 2002 08 871.
 2002 07 991.
 2002 06 480·
 2002 03 792.
 2001 10  495.
 2001 09  293·
 2001 07  362.
 2000 06 762·
 2000 05 286·
 2000 04 423.
 2000 03 662·
 2000 02 962.
 2000 01 572·
 1999 08  13.
 1999 07  333.
 1999 06  66
 1999 05  933.
 1999 03  942·
 1999 02  572.
 1998 10 354·
 1998 09 173.
 1998 06 3310.
 1998 05 824.
 1997 12  793.
 1997 09  3510·
 1997 08  577·
 1997 07  766·
 1997 06  983·
 1997 05  792.
 1997 04  283.
 1996 10 355·
 1996 09 184·
 1996 08 65·
 1996 07 355·
 1996 06 767·
 1996 05 893·
 1996 04 980·
 1996 03 890.
 1995 11  441·
 1995 10  871.
 1995 09  602.
 1995 08  301.
 1995 07  9
 1995 06  117·
 1995 05  265.
 1995 04  207·
 1995 03  655.
 1995 02  880.
 1995 01  511.
 1994 12 46
 1994 11 294·
 1994 10 682·
 1994 08 172·
 1994 07 226.
 1994 06 48
 1993 12  251·
 1993 11  301·
 1993 08  861.
 1993 06  901.
 1993 05  612·
 1993 04  234.
 1992 12 12.
 1992 08 481·
 1992 07 12.
 1992 06 525·
 1992 05 53
 1992 04 43
 1992 01 952.
 1991 12  996.
 1991 10  572.
 1991 07  182.
 1991 05  191.
 1991 04  692.
 1991 03  511.
 1991 02  421.
 1991 01  72
 1990 12 962·
 1990 11 965.
 1990 10 101·
 1990 08 813·
 1990 07 351·
 1990 06 822·
 1990 05 413·
 1990 04 96
 1990 03 685.
 1990 02 201.
 1990 01 791·
 1989 12  923.
 1989 11  33.
 1989 10  495.
 1989 09  923·
 1989 08  703.
 1989 07  695·
 1989 06  313·
 1989 03  761·
 1989 02  542.
 1989 01  252.
 1988 12 551·
 1988 11 492·
 1988 10 961·
 1988 09 511.
 1988 08 343·
 1988 06 561·
 1988 05 71
 1988 04 555·
 1988 03 51·
 1988 02 651.
 1988 01 792.
 1987 12  683.
 1987 11  316·
 1987 10  703.
 1987 09  451.
 1987 08  472·
 1987 07  03.
 1987 06  922·
 1987 05  202.
 1987 04  721·
 1987 03  255.
 1987 02  74
 1987 01  806·
 1986 12 521.
 1986 11 443.
 1986 10 843.
 1986 09 246.
 1986 08 173.
 1986 07 205·
 1986 06 182.
 1986 05 791·
 1986 04 252.
 1986 01 411.
 1985 12  952.
 1985 11  933·
 1985 10  561.
 1985 09  192·
 1985 08  5812·
 1985 07  449·
 1985 06  185·
 1985 05  921.
 1985 04  765·
 1985 03  311.
 1985 02  425.
 1985 01  242·
 1984 12 454·
 1984 11 802·
 1984 10 852.
 1984 09 24.
 1984 08 827·
 1984 07 4015.
 1984 06 2813·
 1984 05 394.
 1984 04 332.
 1984 03 886.
 1983 12  781·
 1983 09  732·
 1983 08  66
 1983 07  241·
 1983 06  675·
 1983 05  672.
 1983 04  75
 1983 03  73
 1983 02  522.
 1983 01  93.
 1982 12 805.
 1982 11 863·
 1982 10 133.
 1982 09 123.
 1982 08 2519·
 1982 07 3810.
 1982 06 5812.
 1982 05 1311.
 1982 04 7811·
 1982 03 292.
 1982 02 182·
 1982 01 752.
 1981 12  341·
 1981 11  853.
 1981 10  502·
 1981 09  874.
 1981 08  125.
 1981 07  5614.
 1981 06  365·
 1981 05  611.
 1981 04  571.
 1981 03  184·
 1981 02  822.
 1981 01  355.
 1980 12 376.
 1980 11 706·
 1980 10 1911.
 1980 09 738.
 1980 08 474.
 1980 07 39
 1980 06 65.
 1980 05 615.
 1980 04 54·
 1980 03 754.
 1980 02 22
 1980 01 132·
 1979 12  564.
 1979 11  525·
 1979 10  753·
 1979 09  667.
 1979 08  6910·
 1979 07  7310·
 1979 06  9617.
 1979 05  855.
 1979 04  388.
 1979 03  616.
 1979 02  435·
 1979 01  552·
 1978 12 823.
 1978 11 677·
 1978 10 962·
 1978 09 915.
 1978 08 4510·
 1978 07 6711·
 1978 06 624·
 1978 05 316.
 1978 04 984.
 1978 03 6210·
 1978 02 735·
 1978 01 364·
 1977 12  321·
 1977 11  752.
 1977 10  861.
 1977 09  962.
 1977 08  695.
 1977 07  5911.
 1977 06  839·
 1977 05  224·
 1977 04  515·
 1977 02  884·
 1977 01  694.
 1976 12 534.
 1976 11 496·
 1976 10 6214·
 1976 09 767.
 1976 08 5214.
 1976 07 5612·
 1976 06 811.
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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: Nonagriculture, Unpaid Family Workers, 16-17 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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