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 Series Title: Number Unemployed for 52 Weeks and over 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 7596·
 2012 03 979.
 2012 02 50111·
 2012 01 3289.
 2011 12  1281.
 2011 11  5083.
 2011 10  970.
 2011 09  8193.
 2011 08  3990.
 2011 07  1492.
 2011 06  9465.
 2011 05  5585·
 2011 04  958.
 2011 03  8356.
 2011 02  1747·
 2011 01  9668·
 2010 12 9679.
 2010 11 6378.
 2010 10 1765.
 2010 09 7461.
 2010 08 078.
 2010 07 8887·
 2010 06 5755.
 2010 05 8365·
 2010 04 4760.
 2010 03 1278.
 2010 02 2460.
 2010 01 4359·
 2009 12  8851.
 2009 11  1842.
 2009 10  3243.
 2009 09  9751·
 2009 08  9753·
 2009 07  1239·
 2009 06  1841·
 2009 05  1444·
 2009 04  7529.
 2009 03  2624.
 2009 02  4528·
 2009 01  8913·
 2008 12 4824·
 2008 11 1615·
 2008 10 132.
 2008 09 4117.
 2008 08 6519.
 2008 07 658.
 2008 06 989.
 2008 05 144·
 2008 04 32.
 2008 03 7914·
 2008 02 7612.
 2008 01 7610·
 2007 12  614.
 2007 11  897·
 2007 10  97
 2007 08  2310.
 2007 07  665.
 2007 06  538.
 2007 05  483·
 2007 04  747·
 2007 03  677.
 2007 02  5112.
 2007 01  425.
 2006 12 718.
 2006 11 3921.
 2006 10 9117·
 2006 09 1814.
 2006 08 865·
 2006 07 849.
 2006 05 48·
 2006 04 384·
 2006 03 116.
 2006 02 27
 2006 01 465·
 2005 12  904·
 2005 11  6615.
 2005 10  1717.
 2005 09  012.
 2005 08  8826.
 2005 07  95
 2005 06  316·
 2005 05  727.
 2005 04  6818·
 2005 03  6818.
 2005 02  6833·
 2005 01  9316·
 2004 12 9423·
 2004 11 7817·
 2004 10 557.
 2004 09 216·
 2004 08 5414·
 2004 07 4417.
 2004 06 4123·
 2004 05 379.
 2004 04 6115.
 2004 03 1115.
 2004 02 216·
 2004 01 4712·
 2003 12  5210.
 2003 11  479.
 2003 10  3913·
 2003 09  8319.
 2003 08  909.
 2003 07  488.
 2003 06  764·
 2003 05  312.
 2003 04  647·
 2003 03  318.
 2003 02  6410.
 2003 01  8625·
 2002 12 8510·
 2002 11 4213.
 2002 10 7915·
 2002 09 4116·
 2002 08 9312·
 2002 07 4915·
 2002 06 2120.
 2002 05 99
 2002 04 505.
 2002 03 467.
 2002 02 159.
 2001 12  1613.
 2001 11  448·
 2001 10  53
 2001 09  128.
 2001 08  7410.
 2001 07  873.
 2001 06  142·
 2001 05  864.
 2001 04  805·
 2001 03  188.
 2001 02  98
 2001 01  393·
 2000 12 652.
 2000 11 04.
 2000 10 995.
 2000 08 966·
 2000 07 867.
 2000 05 203·
 2000 03 352.
 2000 02 83.
 2000 01 2511.
 1999 12  913.
 1999 11  536·
 1999 10  481·
 1999 09  884·
 1999 08  527·
 1999 07  195.
 1999 06  1912.
 1999 05  72.
 1999 04  641.
 1999 03  304.
 1999 02  4611·
 1999 01  387.
 1998 12 1710.
 1998 11 28.
 1998 10 7815.
 1998 09 6411.
 1998 08 2210·
 1998 07 828.
 1998 06 916·
 1998 05 908.
 1998 04 18
 1998 03 386.
 1998 02 86
 1998 01 496·
 1997 12  68
 1997 11  64
 1997 10  8711·
 1997 09  9711.
 1997 08  608·
 1997 07  7912·
 1997 06  4610·
 1997 05  15
 1997 04  513·
 1997 03  283·
 1997 02  384.
 1997 01  1110.
 1996 12 437·
 1996 11 799.
 1996 10 6312.
 1996 09 1622·
 1996 08 3710·
 1996 07 274·
 1996 06 471.
 1996 05 8714·
 1996 04 738.
 1996 03 9116.
 1996 02 3913·
 1996 01 520·
 1995 12  6515·
 1995 11  1518.
 1995 10  165·
 1995 09  773·
 1995 08  529·
 1995 07  686.
 1995 06  7712.
 1995 05  347.
 1995 04  953.
 1995 03  44
 1995 02  499·
 1995 01  346.
 1994 12 821·
 1994 11 635.
 1994 10 818·
 1994 09 5816·
 1994 08 2714·
 1994 07 687·
 1994 06 499.
 1994 05 1215·
 1994 04 6816.
 1994 03 298·
 1994 02 5311.
 1994 01 2810.
 1993 12  676·
 1993 11  3910.
 1993 10  197·
 1993 09  635·
 1993 08  127.
 1993 07  197.
 1993 06  978.
 1993 05  989·
 1993 04  177·
 1993 03  123.
 1993 02  6217.
 1993 01  4119.
 1992 12 1812.
 1992 11 8713·
 1992 10 1513.
 1992 09 228.
 1992 08 7914·
 1992 07 3819·
 1992 06 8114.
 1992 05 9811.
 1992 04 8815.
 1992 03 859·
 1992 02 116·
 1992 01 52
 1991 12  5813.
 1991 11  728.
 1991 10  808·
 1991 09  897·
 1991 08  266·
 1991 07  675.
 1991 06  895.
 1991 05  417.
 1991 04  565.
 1991 03  664.
 1991 02  622.
 1991 01  664.
 1990 12 352.
 1990 11 865·
 1990 10 503·
 1990 09 444.
 1990 08 7610.
 1990 07 734.
 1990 06 292.
 1990 05 824·
 1990 04 188·
 1990 03 952.
 1990 02 984.
 1990 01 11
 1989 12  224·
 1989 11  474.
 1989 10  852·
 1989 09  903.
 1989 08  77
 1989 07  471.
 1989 06  373.
 1989 05  984·
 1989 04  971·
 1989 03  41
 1989 02  323.
 1989 01  43
 1988 12 17
 1988 11 963.
 1988 10 703·
 1988 09 574.
 1988 08 33·
 1988 07 73·
 1988 06 751·
 1988 05 963.
 1988 04 41
 1988 03 934.
 1988 02 99
 1988 01 415.
 1987 12  446.
 1987 11  997·
 1987 10  164.
 1987 09  998·
 1987 08  505.
 1987 07  932·
 1987 05  271.
 1987 04  31.
 1987 03  231·
 1986 12 703·
 1986 11 581.
 1986 09 84·
 1986 07 50
 1986 06 492.
 1986 05 591.
 1986 04 963.
 1986 03 436.
 1986 02 742.
 1986 01 51.
 1985 12  753·
 1985 11  423·
 1985 10  134.
 1985 09  973.
 1985 08  747.
 1985 07  83.
 1985 06  622.
 1985 05  595·
 1985 04  527·
 1985 03  301·
 1985 02  404·
 1985 01  431·
 1984 12 904.
 1984 11 207·
 1984 10 893.
 1984 09 249·
 1984 08 9410.
 1984 07 167.
 1984 06 815·
 1984 05 2
 1984 04 964.
 1984 03 82
 1984 02 8
 1984 01 36·
 1983 12  538·
 1983 11  56·
 1983 10  905·
 1983 09  767.
 1983 08  477·
 1983 07  985·
 1983 06  713.
 1983 05  982.
 1983 04  836.
 1983 03  999.
 1983 02  213·
 1983 01  695·
 1982 12 941·
 1982 11 713·
 1982 10 327·
 1982 09 144·
 1982 08 364·
 1982 07 22·
 1982 06 254·
 1982 05 847·
 1982 04 913·
 1982 03 4
 1982 02 441.
 1981 12  536·
 1981 11  665.
 1981 10  162·
 1981 09  586.
 1981 08  236.
 1981 07  926·
 1981 06  08.
 1981 05  601·
 1981 04  183.
 1981 03  261.
 1981 02  442·
 1981 01  713.
 1980 12 901·
 1980 11 492.
 1980 10 623.
 1980 09 332·
 1980 08 134.
 1980 07 683·
 1980 06 903·
 1980 05 17
 1980 04 872·
 1980 03 15
 1980 02 933.
 1980 01 173.
 1979 12  403·
 1979 11  472·
 1979 10  570.
 1979 09  512.
 1979 08  192.
 1979 07  442.
 1979 06  961.
 1979 05  632.
 1979 04  23.
 1979 03  152.
 1979 02  480·
 1979 01  24
 1978 12 890·
 1978 11 893.
 1978 10 754·
 1978 09 278.
 1978 08 43.
 1978 07 255·
 1978 06 6611·
 1978 05 916·
 1978 04 988·
 1978 03 39·
 1978 02 337.
 1978 01 605.
 1977 12  477.
 1977 11  304.
 1977 10  149.
 1977 09  39·
 1977 08  51
 1977 07  3912·
 1977 06  728·
 1977 05  166.
 1977 04  365·
 1977 03  848.
 1977 02  969·
 1977 01  158.
 1976 12 5110.
 1976 11 4910·
 1976 10 979·
 1976 09 4713.
 1976 08 734.
 1976 07 408.
 1976 06 1410·
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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 52 Weeks and over 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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