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 Series Title: Number Unemployed for 15-26 Weeks 65 years and over, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4129.
 2012 03 5320.
 2012 02 6422·
 2012 01 7828.
 2011 12  2226·
 2011 11  2436·
 2011 10  1537·
 2011 09  5621.
 2011 08  8914.
 2011 07  1222.
 2011 06  8514.
 2011 05  5118·
 2011 04  9124.
 2011 03  9931·
 2011 02  8835·
 2011 01  731·
 2010 12 315.
 2010 11 9222.
 2010 10 6114·
 2010 09 9428.
 2010 08 2731.
 2010 07 229·
 2010 06 6714·
 2010 05 616·
 2010 04 8815·
 2010 03 4623·
 2010 02 9538.
 2010 01 6228.
 2009 12  3629.
 2009 11  4530.
 2009 10  5642.
 2009 09  622.
 2009 08  4622.
 2009 07  2644·
 2009 06  9046·
 2009 05  733·
 2009 04  1917.
 2009 03  2115·
 2009 02  5919.
 2009 01  6022·
 2008 12 8017·
 2008 11 8614·
 2008 10 5024·
 2008 09 8319·
 2008 08 8016·
 2008 07 325.
 2008 06 778·
 2008 05 218.
 2008 04 9417.
 2008 03 7922·
 2008 02 7822·
 2008 01 4216·
 2007 12  2212.
 2007 11  454.
 2007 10  1510.
 2007 09  4222·
 2007 08  9012·
 2007 07  5816·
 2007 06  7716·
 2007 05  397·
 2007 04  489·
 2007 03  9916.
 2007 02  75
 2007 01  775·
 2006 12 724·
 2006 11 7621.
 2006 10 499.
 2006 09 2512.
 2006 08 6210·
 2006 07 2020.
 2006 06 6113·
 2006 05 78
 2006 04 4310·
 2006 03 876·
 2006 02 9915.
 2006 01 545·
 2005 12  6613·
 2005 11  5913·
 2005 10  7523·
 2005 09  999·
 2005 08  52·
 2005 07  4311.
 2005 06  2910.
 2005 05  8013.
 2005 04  6315.
 2005 03  707.
 2005 02  211·
 2005 01  927·
 2004 12 633.
 2004 11 976·
 2004 10 426·
 2004 09 5517.
 2004 08 573·
 2004 07 617.
 2004 06 2
 2004 05 126.
 2004 04 1915.
 2004 03 324.
 2004 02 4112·
 2004 01 3215·
 2003 12  5030·
 2003 11  217.
 2003 10  2120·
 2003 09  1017.
 2003 08  7614·
 2003 07  1412.
 2003 06  3010.
 2003 05  6511·
 2003 04  479·
 2003 03  6616·
 2003 02  82
 2003 01  4113.
 2002 12 3814.
 2002 11 8315.
 2002 10 1211·
 2002 09 711.
 2002 08 4914.
 2002 07 979.
 2002 06 86
 2002 05 577.
 2002 04 711.
 2002 03 6317·
 2002 02 904.
 2002 01 119·
 2001 12  6114·
 2001 11  659.
 2001 10  3810.
 2001 09  124·
 2001 08  861.
 2001 07  72·
 2001 06  679.
 2001 05  2913.
 2001 04  849.
 2001 03  2312.
 2001 02  406·
 2001 01  5710.
 2000 12 801·
 2000 11 693.
 2000 09 4514·
 2000 08 163.
 2000 07 238·
 2000 06 267.
 2000 05 9611·
 2000 03 4812.
 2000 02 904.
 2000 01 18·
 1999 12  291·
 1999 11  247.
 1999 10  817.
 1999 09  25
 1999 08  91·
 1999 07  363.
 1999 06  2116·
 1999 05  563.
 1999 04  2212·
 1999 03  611·
 1999 02  607.
 1999 01  755.
 1998 12 8110.
 1998 11 768·
 1998 10 744.
 1998 09 8924·
 1998 08 2510·
 1998 06 154·
 1998 05 644.
 1998 04 28
 1998 03 179·
 1998 02 190.
 1998 01 540·
 1997 12  514·
 1997 11  446.
 1997 10  68·
 1997 09  9613·
 1997 08  3714·
 1997 07  1912.
 1997 06  1912·
 1997 05  648·
 1997 04  957.
 1997 03  809·
 1997 02  308·
 1997 01  5911·
 1996 12 5613.
 1996 11 9010.
 1996 10 306.
 1996 09 66.
 1996 08 768.
 1996 07 368·
 1996 06 403.
 1996 05 5614.
 1996 04 3815·
 1996 03 336.
 1996 02 410·
 1996 01 835·
 1995 12  472·
 1995 11  173·
 1995 10  912.
 1995 09  9011·
 1995 08  3515.
 1995 07  5217·
 1995 06  955·
 1995 05  014.
 1995 04  593·
 1995 03  25
 1995 02  358.
 1995 01  64
 1994 12 16·
 1994 11 4914.
 1994 10 5510.
 1994 09 5810·
 1994 08 677·
 1994 07 637·
 1994 06 253·
 1994 05 822.
 1994 04 896·
 1994 03 2910·
 1994 02 3822·
 1994 01 6112·
 1993 12  237·
 1993 11  343·
 1993 10  146.
 1993 09  4711·
 1993 08  527.
 1993 07  938·
 1993 06  978·
 1993 05  136.
 1993 04  826·
 1993 03  423·
 1993 02  566.
 1993 01  614·
 1992 12 446.
 1992 11 454.
 1992 10 854·
 1992 09 166.
 1992 08 959.
 1992 07 8912·
 1992 06 47.
 1992 05 2814·
 1992 04 164.
 1992 03 882.
 1992 02 567·
 1992 01 7315.
 1991 12  155.
 1991 11  8010.
 1991 09  103·
 1991 08  5110·
 1991 07  2410.
 1991 06  269.
 1991 05  613.
 1991 04  882.
 1991 03  972.
 1991 02  159.
 1991 01  285·
 1990 12 337.
 1990 11 182.
 1990 10 612·
 1990 08 554.
 1990 07 632.
 1990 06 944·
 1990 05 0
 1990 04 114·
 1990 03 788.
 1990 01 544·
 1989 12  96
 1989 11  905·
 1989 10  2
 1989 09  578·
 1989 08  372.
 1989 07  122·
 1989 06  885·
 1989 05  8411·
 1989 04  3611.
 1989 03  2013·
 1989 02  9
 1989 01  411.
 1988 12 29
 1988 11 843·
 1988 10 661·
 1988 09 606·
 1988 08 818.
 1988 07 984.
 1988 06 853.
 1988 05 983·
 1988 04 806.
 1988 03 81
 1988 02 164.
 1988 01 37
 1987 12  378·
 1987 11  772.
 1987 10  346.
 1987 09  827.
 1987 08  923.
 1987 07  554·
 1987 06  403.
 1987 05  676·
 1987 04  63.
 1987 01  105·
 1986 12 601.
 1986 11 462·
 1986 10 684·
 1986 09 603·
 1986 08 434.
 1986 07 34·
 1986 06 911·
 1986 05 50
 1986 04 655.
 1986 03 435·
 1986 02 12
 1986 01 4812·
 1985 12  263·
 1985 10  995.
 1985 09  953.
 1985 08  504.
 1985 07  531.
 1985 06  264.
 1985 05  275.
 1985 04  731.
 1985 03  945·
 1985 02  74.
 1985 01  222·
 1984 12 631.
 1984 11 263·
 1984 10 488.
 1984 09 165.
 1984 08 894.
 1984 07 49
 1984 06 819·
 1984 05 745.
 1984 04 4311·
 1984 03 889.
 1984 02 6310·
 1984 01 825·
 1983 12  478.
 1983 11  94
 1983 10  742.
 1983 09  553·
 1983 07  432·
 1983 06  42
 1983 05  238.
 1983 04  29
 1983 03  1
 1983 02  32
 1983 01  394·
 1982 12 674.
 1982 11 16
 1982 10 919·
 1982 09 8111.
 1982 08 586.
 1982 07 510.
 1982 06 688.
 1982 05 294.
 1982 04 1411·
 1982 03 147.
 1982 02 382·
 1982 01 914.
 1981 12  744.
 1981 11  121.
 1981 10  37·
 1981 09  983.
 1981 08  0
 1981 07  921.
 1981 06  87
 1981 05  67·
 1981 04  808·
 1981 03  745·
 1981 02  417·
 1981 01  971·
 1980 12 264.
 1980 11 11.
 1980 10 403.
 1980 09 794·
 1980 08 784.
 1980 07 449·
 1980 06 846·
 1980 05 822·
 1980 04 977·
 1980 03 96
 1980 02 05.
 1980 01 632.
 1979 12  724·
 1979 11  77
 1979 10  376.
 1979 09  4
 1979 08  158·
 1979 07  302.
 1979 06  711.
 1979 05  115.
 1979 04  654.
 1979 03  243·
 1979 02  2
 1979 01  163·
 1978 12 840·
 1978 11 541·
 1978 10 561·
 1978 09 766·
 1978 08 604.
 1978 07 403.
 1978 06 834.
 1978 05 7314.
 1978 04 63.
 1978 03 247.
 1978 02 5811·
 1978 01 127.
 1977 12  6110·
 1977 11  7612·
 1977 10  827.
 1977 09  265·
 1977 08  864·
 1977 07  917·
 1977 06  8011.
 1977 05  719·
 1977 04  6911·
 1977 03  877·
 1977 02  37·
 1977 01  303.
 1976 12 258·
 1976 11 919.
 1976 10 253·
 1976 09 89.
 1976 08 8912·
 1976 07 269·
 1976 06 486.
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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, 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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