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 Series Title: Number Unemployed for 15-26 Weeks 65 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4034·
 2012 03 743.
 2012 02 8829·
 2012 01 1021·
 2011 12  2614·
 2011 11  897.
 2011 10  5614·
 2011 09  1213.
 2011 08  2328·
 2011 07  147·
 2011 06  6926.
 2011 05  5544·
 2011 04  8043·
 2011 03  6341.
 2011 02  3920.
 2011 01  8533·
 2010 12 7326·
 2010 11 4222.
 2010 10 450.
 2010 09 7140·
 2010 08 241·
 2010 07 8359.
 2010 06 2827·
 2010 05 715·
 2010 04 9322.
 2010 03 4339.
 2010 02 9932·
 2010 01 1226·
 2009 12  9646.
 2009 11  328·
 2009 10  2846.
 2009 09  2943.
 2009 08  8639·
 2009 07  7141·
 2009 06  5433.
 2009 05  2932.
 2009 04  6439·
 2009 03  7750.
 2009 02  4138·
 2009 01  627.
 2008 12 5526·
 2008 11 7940.
 2008 10 7516·
 2008 09 7824·
 2008 08 1021·
 2008 07 5722.
 2008 06 6912·
 2008 05 9021.
 2008 04 419.
 2008 03 1920·
 2008 02 6215·
 2008 01 1021·
 2007 12  379·
 2007 11  9719·
 2007 10  1721.
 2007 09  3311·
 2007 08  3519·
 2007 07  4623.
 2007 06  2112·
 2007 05  7910.
 2007 04  4930·
 2007 03  4911·
 2007 02  8819·
 2007 01  9118.
 2006 12 5311·
 2006 11 1210.
 2006 09 54
 2006 08 387·
 2006 07 475·
 2006 06 6716·
 2006 05 83
 2006 04 1522.
 2006 03 5818.
 2006 02 7012.
 2006 01 6412.
 2005 12  4020·
 2005 11  363.
 2005 10  314.
 2005 09  86.
 2005 08  587·
 2005 07  567.
 2005 06  735.
 2005 05  5419·
 2005 04  3817.
 2005 03  198.
 2005 02  124.
 2005 01  6424.
 2004 12 7411.
 2004 11 4921·
 2004 10 767.
 2004 09 2720.
 2004 08 8613.
 2004 07 9813·
 2004 06 4620·
 2004 05 5514·
 2004 04 1721·
 2004 03 4025·
 2004 02 2922.
 2004 01 8716.
 2003 12  3614.
 2003 11  768·
 2003 10  584.
 2003 09  8410.
 2003 08  3816.
 2003 07  3215·
 2003 06  8817·
 2003 05  3616·
 2003 04  4215·
 2003 03  5823.
 2003 02  210.
 2003 01  5520·
 2002 12 9114·
 2002 11 297.
 2002 10 57.
 2002 09 7818·
 2002 08 564.
 2002 07 459·
 2002 06 3015·
 2002 05 6924.
 2002 04 3018·
 2002 03 3313.
 2002 02 3215.
 2002 01 1611.
 2001 12  329.
 2001 11  4212·
 2001 10  9511·
 2001 09  312·
 2001 08  72.
 2001 07  4816·
 2001 06  249·
 2001 05  536.
 2001 04  2311·
 2001 03  5118.
 2001 02  5114.
 2001 01  448·
 2000 12 764·
 2000 11 7713.
 2000 10 33
 2000 09 9217.
 2000 08 8312.
 2000 07 7521.
 2000 06 52
 2000 05 1010.
 2000 04 89
 2000 03 228·
 2000 02 13
 2000 01 363.
 1999 12  636.
 1999 11  186.
 1999 10  4917·
 1999 09  3311.
 1999 08  09.
 1999 07  8816.
 1999 06  167·
 1999 05  887.
 1999 04  1814.
 1999 03  822·
 1999 02  964.
 1999 01  153.
 1998 12 625.
 1998 11 779·
 1998 10 966·
 1998 09 5219.
 1998 08 014.
 1998 07 7113·
 1998 06 471·
 1998 05 613.
 1998 04 283.
 1998 03 9216.
 1998 02 66.
 1998 01 308.
 1997 12  635.
 1997 11  881·
 1997 10  547·
 1997 09  73
 1997 08  5113·
 1997 07  366·
 1997 06  986.
 1997 05  278·
 1997 04  604·
 1997 03  3612.
 1997 02  70
 1997 01  5414.
 1996 12 8410·
 1996 11 1312.
 1996 10 2717·
 1996 09 4310·
 1996 08 439·
 1996 07 1812.
 1996 06 4913·
 1996 05 812·
 1996 04 8110.
 1996 03 2614.
 1996 02 4525·
 1996 01 8412·
 1995 12  677.
 1995 11  3810.
 1995 10  4411·
 1995 09  3721·
 1995 08  9420·
 1995 07  7812·
 1995 06  510·
 1995 05  5220.
 1995 04  837·
 1995 03  979·
 1995 02  812.
 1995 01  4410.
 1994 12 776.
 1994 11 7116.
 1994 10 6012·
 1994 09 5111.
 1994 08 4617·
 1994 07 020.
 1994 06 9416·
 1994 05 3412.
 1994 04 8322·
 1994 03 1018.
 1994 02 649.
 1994 01 8213.
 1993 12  815·
 1993 11  5012.
 1993 10  5411.
 1993 09  815·
 1993 08  654.
 1993 07  968·
 1993 06  70
 1993 05  5010.
 1993 04  238·
 1993 03  4916.
 1993 02  4414·
 1993 01  7010.
 1992 12 754.
 1992 11 345·
 1992 10 318·
 1992 09 586·
 1992 08 43
 1992 07 21·
 1992 06 1411.
 1992 05 2416.
 1992 04 6815·
 1992 03 2720·
 1992 02 999.
 1992 01 88.
 1991 12  2113·
 1991 11  105.
 1991 10  1913.
 1991 09  7211.
 1991 08  9613·
 1991 07  778·
 1991 06  297·
 1991 05  49.
 1991 04  1218.
 1991 03  777.
 1991 02  1112·
 1991 01  173.
 1990 12 132·
 1990 11 876.
 1990 10 7315·
 1990 09 497.
 1990 08 687.
 1990 07 73.
 1990 06 45
 1990 05 6311·
 1990 04 715.
 1990 03 62
 1990 02 8410.
 1990 01 4611·
 1989 12  423.
 1989 11  29.
 1989 10  726.
 1989 09  125·
 1989 08  246.
 1989 07  38.
 1989 06  151.
 1989 05  985.
 1989 04  863·
 1989 03  658·
 1989 02  4610.
 1989 01  686·
 1988 12 249.
 1988 11 1411·
 1988 10 216.
 1988 08 94.
 1988 07 564.
 1988 06 06·
 1988 05 203·
 1988 04 34
 1988 03 264.
 1988 02 995·
 1988 01 525.
 1987 12  817.
 1987 11  35.
 1987 10  108.
 1987 09  483·
 1987 08  132·
 1987 07  813·
 1987 06  60
 1987 05  6416.
 1987 04  1715·
 1987 03  8013.
 1987 02  985.
 1987 01  823·
 1986 12 84.
 1986 11 43
 1986 10 010·
 1986 09 87·
 1986 08 222·
 1986 07 419·
 1986 06 669·
 1986 05 755.
 1986 04 2212.
 1986 03 6615·
 1986 02 2311.
 1986 01 397·
 1985 12  973·
 1985 11  395·
 1985 10  195·
 1985 09  81
 1985 08  598.
 1985 07  39.
 1985 06  316·
 1985 05  98.
 1985 04  46
 1985 03  2714·
 1985 02  594.
 1985 01  5310·
 1984 12 21
 1984 11 513.
 1984 10 285.
 1984 09 716·
 1984 08 723.
 1984 06 589·
 1984 05 8910·
 1984 04 4413·
 1984 03 123·
 1984 02 285·
 1984 01 189·
 1983 12  7811·
 1983 11  7914·
 1983 10  857·
 1983 09  13
 1983 08  6
 1983 07  35
 1983 06  238.
 1983 05  218·
 1983 04  8418.
 1983 03  6810·
 1983 02  619.
 1983 01  3417·
 1982 12 9415.
 1982 11 9223·
 1982 10 447.
 1982 09 844.
 1982 08 4214·
 1982 07 455.
 1982 06 4013·
 1982 05 5411·
 1982 04 6020.
 1982 03 8815·
 1982 02 4414.
 1982 01 686.
 1981 12  57·
 1981 11  109·
 1981 10  757·
 1981 09  779.
 1981 08  583·
 1981 07  25
 1981 06  779.
 1981 05  564.
 1981 04  258.
 1981 03  692.
 1981 02  1810·
 1981 01  615.
 1980 12 408·
 1980 11 6
 1980 10 942.
 1980 09 526.
 1980 08 577.
 1980 07 235·
 1980 06 23
 1980 05 445.
 1980 04 596·
 1980 03 346.
 1980 02 507·
 1980 01 586.
 1979 12  534.
 1979 11  764·
 1979 10  439·
 1979 09  9410.
 1979 08  699·
 1979 07  1311.
 1979 06  9813·
 1979 05  7817·
 1979 04  6615.
 1979 03  3116·
 1979 02  32
 1979 01  6015.
 1978 12 2313.
 1978 11 459.
 1978 10 9010·
 1978 09 150·
 1978 08 498·
 1978 07 929.
 1978 06 419.
 1978 05 4417.
 1978 04 7516·
 1978 03 3414.
 1978 02 8012.
 1978 01 7215·
 1977 12  5611.
 1977 11  6117·
 1977 10  2516·
 1977 09  5013.
 1977 08  767.
 1977 07  848·
 1977 06  208.
 1977 05  525.
 1977 04  405.
 1977 03  4128·
 1977 02  364·
 1977 01  8027.
 1976 12 8013·
 1976 11 9628.
 1976 10 6517·
 1976 09 598.
 1976 08 549.
 1976 07 3615·
 1976 06 2825·
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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: Number Unemployed for 15-26 Weeks 65 years and over, Men: 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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