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 Series Title: Number Unemployed for 27-51 Weeks 65 years 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 2159·
 2012 03 651·
 2012 02 2442·
 2012 01 9834·
 2011 12  7355.
 2011 11  9646·
 2011 10  1761.
 2011 09  1656.
 2011 08  5443·
 2011 07  4745·
 2011 06  7348.
 2011 05  9654.
 2011 04  1462·
 2011 03  4174.
 2011 02  661·
 2011 01  8155.
 2010 12 2860·
 2010 11 8457·
 2010 10 5366.
 2010 09 4086·
 2010 08 9846·
 2010 07 846·
 2010 06 7745·
 2010 05 6846·
 2010 04 4843.
 2010 03 6949.
 2010 02 6661.
 2010 01 8397·
 2009 12  2971.
 2009 11  5082.
 2009 10  3276.
 2009 09  3080.
 2009 08  1679.
 2009 07  5659·
 2009 06  1561·
 2009 05  7957·
 2009 04  1063·
 2009 03  2043.
 2009 02  7642·
 2009 01  2252.
 2008 12 3531·
 2008 11 9827.
 2008 10 433·
 2008 09 8025·
 2008 08 4321.
 2008 07 7231·
 2008 06 1117.
 2008 05 9614·
 2008 04 919.
 2008 03 48
 2008 02 357·
 2008 01 4013·
 2007 12  3319·
 2007 11  5819·
 2007 10  4015.
 2007 09  69·
 2007 08  4010·
 2007 07  5919.
 2007 06  1216·
 2007 05  129·
 2007 04  813·
 2007 03  321.
 2007 02  6610.
 2007 01  41·
 2006 12 322.
 2006 11 846.
 2006 10 3912·
 2006 09 495·
 2006 08 9217·
 2006 07 461.
 2006 06 935·
 2006 05 435·
 2006 04 8810·
 2006 03 76
 2006 02 171.
 2006 01 420.
 2005 12  6814.
 2005 11  5512·
 2005 10  248·
 2005 09  777.
 2005 08  106·
 2005 07  8911·
 2005 06  5112.
 2005 05  306.
 2005 04  1319·
 2005 03  1027·
 2005 02  6117.
 2005 01  5916·
 2004 12 310.
 2004 11 7510.
 2004 10 4211·
 2004 09 817·
 2004 08 2918.
 2004 07 6611.
 2004 06 817.
 2004 05 419.
 2004 04 6826.
 2004 03 8820.
 2004 02 9620.
 2004 01 933·
 2003 12  206.
 2003 11  75
 2003 10  6813.
 2003 09  7815.
 2003 08  1116.
 2003 07  8122.
 2003 06  149.
 2003 05  676·
 2003 04  8924.
 2003 03  9020.
 2003 02  4538·
 2003 01  2213·
 2002 12 3220.
 2002 11 710·
 2002 10 9915·
 2002 09 1030.
 2002 08 3918.
 2002 07 6427.
 2002 06 4018·
 2002 05 2619.
 2002 04 3621·
 2002 03 1913·
 2002 02 5619·
 2002 01 8917·
 2001 12  7313·
 2001 11  528·
 2001 10  588·
 2001 09  4312·
 2001 08  2632.
 2001 07  7014.
 2001 06  867·
 2001 05  5813·
 2001 04  9415.
 2001 03  5
 2001 02  22.
 2001 01  278.
 2000 12 417·
 2000 11 13
 2000 10 9311.
 2000 09 7010·
 2000 08 610·
 2000 07 773.
 2000 06 745.
 2000 05 3111·
 2000 04 757.
 2000 02 2
 1999 12  814·
 1999 11  7911·
 1999 10  1116.
 1999 09  2114·
 1999 08  7810.
 1999 07  711.
 1999 06  404.
 1999 04  894.
 1999 03  526.
 1999 02  367.
 1999 01  134.
 1998 12 903.
 1998 11 172·
 1998 10 105·
 1998 09 47.
 1998 07 283·
 1998 06 92.
 1998 05 976·
 1998 04 147·
 1998 03 372·
 1998 02 938·
 1998 01 9112.
 1997 12  6922.
 1997 11  7212·
 1997 10  568·
 1997 09  128.
 1997 08  1813·
 1997 07  15
 1997 06  112·
 1997 05  52.
 1997 04  385.
 1997 03  7410.
 1997 02  9613·
 1997 01  3712.
 1996 12 2810·
 1996 11 795.
 1996 10 7413·
 1996 09 313.
 1996 08 1517.
 1996 07 8711·
 1996 06 3215.
 1996 05 2312·
 1996 04 483·
 1996 03 796·
 1996 02 834.
 1996 01 415·
 1995 12  26.
 1995 11  64
 1995 10  6613.
 1995 09  2515·
 1995 08  7916·
 1995 07  7114.
 1995 06  4319.
 1995 05  698·
 1995 04  45·
 1995 03  5812·
 1995 02  34.
 1995 01  949·
 1994 12 2613·
 1994 11 67·
 1994 10 5718.
 1994 09 4311·
 1994 08 2220·
 1994 07 2315.
 1994 06 447.
 1994 05 8517.
 1994 04 9211.
 1994 03 397.
 1994 02 2710·
 1994 01 1410.
 1993 12  6017.
 1993 11  116.
 1993 10  949.
 1993 09  5012.
 1993 08  7916·
 1993 07  217·
 1993 06  5810.
 1993 05  369·
 1993 04  22
 1993 03  7620.
 1993 02  5610.
 1993 01  426·
 1992 12 9013.
 1992 11 714.
 1992 10 5119·
 1992 09 6211·
 1992 08 1020·
 1992 07 7123.
 1992 06 3217.
 1992 05 1514.
 1992 04 3014.
 1992 03 4919·
 1992 02 1113·
 1992 01 4614.
 1991 12  2720·
 1991 11  48
 1991 10  2618·
 1991 09  2215·
 1991 08  110.
 1991 07  110.
 1991 06  408·
 1991 05  3913.
 1991 04  7711.
 1991 03  6210.
 1991 02  409·
 1991 01  165.
 1990 12 511.
 1990 11 157·
 1990 10 417·
 1990 09 961.
 1990 08 6211.
 1990 07 653.
 1990 06 794·
 1990 05 497.
 1990 04 4710·
 1990 03 4514.
 1990 02 1814.
 1990 01 694·
 1989 12  865.
 1989 11  118.
 1989 10  452.
 1989 09  761.
 1989 07  298.
 1989 06  445.
 1989 05  731.
 1989 04  136.
 1989 03  52
 1989 02  5110.
 1989 01  407.
 1988 12 491.
 1988 11 553.
 1988 10 654.
 1988 09 104·
 1988 08 792.
 1988 07 632.
 1988 04 412.
 1988 03 703.
 1988 02 215·
 1988 01 285.
 1987 12  618·
 1987 11  325·
 1987 10  209.
 1987 09  233.
 1987 08  3111.
 1987 07  356·
 1987 06  463.
 1987 05  50
 1987 04  85
 1987 03  423·
 1987 02  913·
 1987 01  3311.
 1986 12 774·
 1986 11 405·
 1986 10 761·
 1986 09 256·
 1986 08 90
 1986 07 43
 1986 06 446.
 1986 05 983·
 1986 04 311·
 1986 03 888.
 1986 02 653·
 1986 01 553.
 1985 12  313·
 1985 11  394·
 1985 10  324.
 1985 09  21
 1985 08  463·
 1985 07  8212.
 1985 06  66
 1985 05  462.
 1985 04  586.
 1985 03  3110.
 1985 02  910.
 1985 01  411.
 1984 12 758·
 1984 11 254.
 1984 10 3213·
 1984 09 984·
 1984 08 27
 1984 07 259.
 1984 06 279.
 1984 05 519.
 1984 04 715·
 1984 03 194·
 1984 01 156.
 1983 12  158.
 1983 11  8910.
 1983 10  228·
 1983 09  4010.
 1983 08  6512·
 1983 07  8810.
 1983 06  6911·
 1983 05  7118.
 1983 04  114·
 1983 03  9816.
 1983 02  2521·
 1983 01  126·
 1982 12 4910·
 1982 11 7815·
 1982 10 7819.
 1982 09 5012·
 1982 08 597·
 1982 07 816·
 1982 06 39
 1982 05 629.
 1982 04 7
 1982 03 959·
 1982 02 476.
 1982 01 72·
 1981 12  92
 1981 11  714·
 1981 10  66
 1981 09  782.
 1981 08  405.
 1981 07  922.
 1981 06  82
 1981 05  9413·
 1981 04  216.
 1981 03  4019.
 1981 02  88.
 1981 01  12·
 1980 12 535.
 1980 11 218.
 1980 10 847.
 1980 09 668·
 1980 08 9310·
 1980 07 6810·
 1980 06 707·
 1980 05 846.
 1980 04 482.
 1980 03 372·
 1980 02 5610·
 1980 01 747·
 1979 12  697·
 1979 11  95.
 1979 10  555.
 1979 09  802·
 1979 08  292·
 1979 07  924.
 1979 06  36·
 1979 05  722.
 1979 04  316·
 1979 03  163·
 1979 02  652.
 1979 01  431.
 1978 12 990·
 1978 10 3910.
 1978 09 2711·
 1978 08 1315·
 1978 07 8413.
 1978 06 4221.
 1978 05 319·
 1978 04 2611·
 1978 03 6113.
 1978 02 329·
 1978 01 3115·
 1977 12  5019.
 1977 11  3118.
 1977 10  4018·
 1977 09  7315.
 1977 08  8115.
 1977 07  1813·
 1977 06  2315.
 1977 05  1825.
 1977 04  3726.
 1977 03  7432.
 1977 02  6326·
 1977 01  7931.
 1976 12 6225.
 1976 11 7316.
 1976 10 6614.
 1976 09 9223.
 1976 08 2616·
 1976 07 1625.
 1976 06 6420.
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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 27-51 Weeks 65 years 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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