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 Series Title: Of Total Unemployed 65 years and over, Men, Percent Unemployed 15 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4269·8
 2012 03 1261·4
 2012 02 6258.1
 2012 01 6958·8
 2011 12  3563·3
 2011 11  6468·4
 2011 10  6269.7
 2011 09  6567.9
 2011 08  8971.6
 2011 07  866·3
 2011 06  5762·2
 2011 05  5371·6
 2011 04  5370.9
 2011 03  2766.5
 2011 02  5968·0
 2011 01  7867·4
 2010 12 362.2
 2010 11 2574.3
 2010 10 775·4
 2010 09 870.7
 2010 08 3959·3
 2010 07 3670.8
 2010 06 6369.1
 2010 05 3872·0
 2010 04 8772·7
 2010 03 1563.9
 2010 02 1562.0
 2010 01 8853.6
 2009 12  9757·6
 2009 11  4566.6
 2009 10  7664·0
 2009 09  068.8
 2009 08  4457.4
 2009 07  3262·7
 2009 06  8560.5
 2009 05  4452·0
 2009 04  2952·1
 2009 03  853.7
 2009 02  351.9
 2009 01  1546.3
 2008 12 7742.3
 2008 11 2947.9
 2008 10 1949·5
 2008 09 3238·6
 2008 08 3947·3
 2008 07 7740.0
 2008 06 4628.2
 2008 05 3835.0
 2008 04 9044·8
 2008 03 5931.9
 2008 02 2137·2
 2008 01 341·4
 2007 12  3137.6
 2007 11  645·0
 2007 10  848·2
 2007 09  2133.1
 2007 08  8637.6
 2007 07  7443.9
 2007 06  9430·6
 2007 05  1135·0
 2007 04  642·7
 2007 03  4734.0
 2007 02  9246.3
 2007 01  1826·9
 2006 12 6730.1
 2006 11 2940.8
 2006 10 4135·6
 2006 09 929.2
 2006 08 6933.0
 2006 07 5416·3
 2006 06 234.8
 2006 05 8027.4
 2006 04 3744.2
 2006 03 7741·3
 2006 02 6437.0
 2006 01 5039·5
 2005 12  2252.5
 2005 11  8038·1
 2005 10  4151·4
 2005 09  6341·4
 2005 08  9941·4
 2005 07  6942·3
 2005 06  6839·9
 2005 05  8853.3
 2005 04  6849·2
 2005 03  7734·9
 2005 02  1129.6
 2005 01  1847.8
 2004 12 5645·9
 2004 11 6151.0
 2004 10 5636.4
 2004 09 7443.9
 2004 08 1132·9
 2004 07 038·9
 2004 06 1649·8
 2004 05 047.9
 2004 04 1166·4
 2004 03 344.4
 2004 02 3049.4
 2004 01 6349.3
 2003 12  5450.0
 2003 11  229·6
 2003 10  5939.6
 2003 09  6040·2
 2003 08  6746·8
 2003 07  5136.9
 2003 06  9343·8
 2003 05  846.6
 2003 04  051·7
 2003 03  3447.4
 2003 02  4440·1
 2003 01  5239·9
 2002 12 2845·6
 2002 11 5729.6
 2002 10 4926·5
 2002 09 6243·2
 2002 08 5133.4
 2002 07 5150.8
 2002 06 7246.4
 2002 05 3039·9
 2002 04 9653.1
 2002 03 7442·5
 2002 02 127.9
 2002 01 7740.7
 2001 12  1227·4
 2001 11  625·1
 2001 10  4826.1
 2001 09  4626.9
 2001 08  7541.1
 2001 07  5450.6
 2001 06  5236·4
 2001 05  746·3
 2001 04  8543·3
 2001 03  5137·1
 2001 02  7546·5
 2001 01  5431.6
 2000 12 6838.7
 2000 11 5340·7
 2000 10 531·2
 2000 09 638·8
 2000 08 7356·2
 2000 07 4146.3
 2000 06 5524.3
 2000 05 638·4
 2000 04 7739·0
 2000 03 2139·0
 2000 02 6326·1
 2000 01 2535·8
 1999 12  8023.8
 1999 11  2730·1
 1999 10  9243·8
 1999 09  5638.1
 1999 08  738·3
 1999 07  1453·7
 1999 06  2948·8
 1999 05  1936.2
 1999 04  854.1
 1999 03  6316·8
 1999 02  8924.9
 1999 01  5726.1
 1998 12 6023·5
 1998 11 8238.1
 1998 10 736·1
 1998 09 4048.9
 1998 08 6238·2
 1998 07 329.0
 1998 06 4818·6
 1998 05 6235.3
 1998 04 3923·5
 1998 03 8143.1
 1998 02 037·2
 1998 01 4234.5
 1997 12  4353.6
 1997 11  9919·6
 1997 10  7460.5
 1997 09  2434.5
 1997 08  4845·8
 1997 07  6344.2
 1997 06  1025·1
 1997 05  7831.1
 1997 04  5547.6
 1997 03  446·3
 1997 02  7036.3
 1997 01  9733.1
 1996 12 8932·0
 1996 11 8045.5
 1996 10 4141.4
 1996 09 049.0
 1996 08 146·7
 1996 07 7353.1
 1996 06 3745·6
 1996 05 3345.3
 1996 04 6639.8
 1996 03 8750.1
 1996 02 9651.3
 1996 01 6338·0
 1995 12  8452.3
 1995 11  5643.9
 1995 10  8039.8
 1995 09  8547·2
 1995 08  8149.0
 1995 07  3743·9
 1995 06  7838.5
 1995 05  1941·3
 1995 04  826·9
 1995 03  940.0
 1995 02  237·9
 1995 01  741·8
 1994 12 3938.9
 1994 11 8144.8
 1994 10 9039·3
 1994 09 2052·9
 1994 08 7539.8
 1994 07 8457.1
 1994 06 646·8
 1994 05 5262.8
 1994 04 4162·5
 1994 03 7441·6
 1994 02 3633.7
 1994 01 2139.0
 1993 12  8953.9
 1993 11  3441·8
 1993 10  9450·5
 1993 09  7350·8
 1993 08  9245.5
 1993 07  6948·4
 1993 06  1853·3
 1993 05  7567.4
 1993 04  5261.2
 1993 03  1252.9
 1993 02  7062·2
 1993 01  2245.0
 1992 12 9442·2
 1992 11 1945·9
 1992 10 4050·5
 1992 09 3433.0
 1992 08 6849.8
 1992 07 7258.0
 1992 06 3855·6
 1992 05 5451·5
 1992 04 5145.6
 1992 03 7773·6
 1992 02 448.9
 1992 01 5231·7
 1991 12  4149·4
 1991 11  6644·9
 1991 10  065·4
 1991 09  2248·5
 1991 08  6536·4
 1991 07  9539.5
 1991 06  1425.5
 1991 05  8238.5
 1991 04  7242.7
 1991 03  4737.3
 1991 02  5938.4
 1991 01  7721.0
 1990 12 3932·4
 1990 11 2833·8
 1990 10 7358.6
 1990 09 7741·0
 1990 08 6632·8
 1990 07 7011·8
 1990 06 1934.7
 1990 05 7428.4
 1990 04 7820·4
 1990 03 2835·7
 1990 02 8438·2
 1990 01 8942·9
 1989 12  2521.9
 1989 11  8621·5
 1989 10  8224.0
 1989 09  6622·0
 1989 08  8327·8
 1989 07  4929·5
 1989 06  5026.3
 1989 05  7329·6
 1989 04  5217.1
 1989 03  4936·8
 1989 02  5226.2
 1989 01  647·5
 1988 12 5840·6
 1988 11 4337.4
 1988 10 7549·8
 1988 09 8233.9
 1988 08 5227·6
 1988 07 1213·7
 1988 06 3216·1
 1988 05 4627.9
 1988 04 716.2
 1988 03 6428·3
 1988 02 6126.2
 1988 01 6833.5
 1987 12  2535·0
 1987 11  2926·1
 1987 10  2542·2
 1987 09  4036.3
 1987 08  3233·5
 1987 07  6427·2
 1987 06  1241.2
 1987 05  8445·7
 1987 04  7749.6
 1987 03  5230.6
 1987 02  3428.5
 1987 01  4237·0
 1986 12 3632.2
 1986 11 9832·8
 1986 10 3024·6
 1986 09 8439.5
 1986 08 1029·9
 1986 07 3443.1
 1986 06 6329.4
 1986 05 430·5
 1986 04 2334·6
 1986 03 1833·4
 1986 02 2028.6
 1986 01 2130·7
 1985 12  2749.5
 1985 11  3039·2
 1985 10  1431.5
 1985 09  7929.3
 1985 08  9636·5
 1985 07  7743·5
 1985 06  8332.0
 1985 05  4827·6
 1985 04  3124.2
 1985 03  9045.8
 1985 02  9047.0
 1985 01  2142·6
 1984 12 5741·7
 1984 11 2852·6
 1984 10 2354·2
 1984 09 1837.5
 1984 08 2525.9
 1984 07 7029.4
 1984 06 9560.1
 1984 05 8348.6
 1984 04 1048·8
 1984 03 2428·0
 1984 02 4323.7
 1984 01 8452.1
 1983 12  1345.2
 1983 11  2252·2
 1983 10  3245.8
 1983 09  1725·8
 1983 08  5823.5
 1983 07  1932·4
 1983 06  4741.5
 1983 05  062·0
 1983 04  9750.5
 1983 03  9947·0
 1983 02  345·3
 1983 01  7743·5
 1982 12 544.0
 1982 11 6644·2
 1982 10 3743.7
 1982 09 1827·2
 1982 08 8137·1
 1982 07 5433·8
 1982 06 1347.2
 1982 05 1623.6
 1982 04 5333·3
 1982 03 1832·8
 1982 02 1743·8
 1982 01 9118·5
 1981 12  6917·7
 1981 11  4027·7
 1981 10  6421.5
 1981 09  8846·0
 1981 08  531.6
 1981 07  2742·9
 1981 06  9037·5
 1981 05  7436.7
 1981 04  6247.4
 1981 03  1143·6
 1981 02  5929.8
 1981 01  4429·7
 1980 12 6432·5
 1980 11 4824·2
 1980 10 5828.6
 1980 09 1829.7
 1980 08 6425·6
 1980 07 2022.4
 1980 06 126·5
 1980 05 3918.4
 1980 04 3522.7
 1980 03 3329.6
 1980 02 2526·6
 1980 01 7720.9
 1979 12  7829·6
 1979 11  1932·7
 1979 10  9433·7
 1979 09  2631.8
 1979 08  1932·6
 1979 07  3535.8
 1979 06  9544·8
 1979 05  448.2
 1979 04  839.5
 1979 03  6231.1
 1979 02  4021.4
 1979 01  5728·7
 1978 12 2030.5
 1978 11 821.9
 1978 10 6948·1
 1978 09 5335.5
 1978 08 5633.3
 1978 07 238.5
 1978 06 4442·5
 1978 05 8648.2
 1978 04 4142.1
 1978 03 451·5
 1978 02 5244·9
 1978 01 7642.0
 1977 12  2637.7
 1977 11  9341.4
 1977 10  745.1
 1977 09  6641·8
 1977 08  8532·4
 1977 07  7638.7
 1977 06  4642·5
 1977 05  2642·1
 1977 04  2044·0
 1977 03  8656·7
 1977 02  3332·0
 1977 01  5052·2
 1976 12 5653.0
 1976 11 7958·6
 1976 10 5544·1
 1976 09 5738.4
 1976 08 4341·6
 1976 07 3642·2
 1976 06 2657.0
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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: Of Total Unemployed 65 years and over, Men, Percent Unemployed 15 Weeks and over: 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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