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 Series Title: Number Unemployed for 27 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 59126·
 2012 03 33104·
 2012 02 51128·
 2012 01 52102.
 2011 12  0105·
 2011 11  61103·
 2011 10  591.
 2011 09  30119.
 2011 08  14111·
 2011 07  94118.
 2011 06  6788·
 2011 05  13104·
 2011 04  5184.
 2011 03  1391.
 2011 02  4883.
 2011 01  45104·
 2010 12 86113·
 2010 11 25107.
 2010 10 8792·
 2010 09 9594·
 2010 08 2084·
 2010 07 62104·
 2010 06 4769.
 2010 05 5788.
 2010 04 7878·
 2010 03 8097.
 2010 02 1676·
 2010 01 5195·
 2009 12  1188·
 2009 11  6195.
 2009 10  782·
 2009 09  21102·
 2009 08  9488·
 2009 07  1160.
 2009 06  5753.
 2009 05  3566·
 2009 04  2756.
 2009 03  6346·
 2009 02  2945·
 2009 01  8836·
 2008 12 3534·
 2008 11 7323.
 2008 10 1250.
 2008 09 9929.
 2008 08 7026·
 2008 07 2220.
 2008 06 1818.
 2008 05 138·
 2008 04 65·
 2008 03 1714.
 2008 02 8416.
 2008 01 9816.
 2007 12  4511.
 2007 11  9018.
 2007 10  758.
 2007 08  4816·
 2007 07  107·
 2007 06  9714.
 2007 05  785·
 2007 04  837.
 2007 03  537·
 2007 02  2014·
 2007 01  5
 2006 12 4610·
 2006 11 4921·
 2006 10 6630·
 2006 09 9519·
 2006 08 815·
 2006 07 9910·
 2006 06 673.
 2006 05 1113·
 2006 04 616.
 2006 03 2711·
 2006 02 786.
 2006 01 409.
 2005 12  2610·
 2005 11  8520.
 2005 10  8221.
 2005 09  9517·
 2005 08  4630·
 2005 07  477·
 2005 06  8512·
 2005 05  158.
 2005 04  9025.
 2005 03  1530.
 2005 02  1937·
 2005 01  6120.
 2004 12 5327.
 2004 11 1322.
 2004 10 4111.
 2004 09 238.
 2004 08 5426·
 2004 07 9118·
 2004 06 3226·
 2004 05 1215·
 2004 04 3618·
 2004 03 2628.
 2004 02 9827·
 2004 01 6733·
 2003 12  7015·
 2003 11  1715·
 2003 10  7217·
 2003 09  5124.
 2003 08  4811·
 2003 07  9013.
 2003 06  106·
 2003 05  5116·
 2003 04  9115.
 2003 03  9615·
 2003 02  9426·
 2003 01  8131·
 2002 12 4315.
 2002 11 916.
 2002 10 3127·
 2002 09 7836·
 2002 08 7222·
 2002 07 3129·
 2002 06 5134.
 2002 05 522·
 2002 04 7215.
 2002 03 8614·
 2002 02 1224.
 2002 01 51
 2001 12  6419·
 2001 11  258.
 2001 10  955·
 2001 09  2716·
 2001 08  9125·
 2001 07  2312.
 2001 06  78.
 2001 05  725·
 2001 04  2113·
 2001 03  8112·
 2001 02  803.
 2001 01  493.
 2000 12 502·
 2000 11 246.
 2000 10 7010.
 2000 08 466.
 2000 07 967.
 2000 06 22.
 2000 05 595.
 2000 04 755.
 2000 03 4
 2000 02 929.
 2000 01 5311.
 1999 12  753.
 1999 11  4315·
 1999 10  9211·
 1999 09  845·
 1999 08  87·
 1999 07  65·
 1999 06  3012.
 1999 05  92.
 1999 04  625·
 1999 03  1410·
 1999 02  5418·
 1999 01  1011.
 1998 12 5013.
 1998 11 99.
 1998 10 4116.
 1998 09 9313·
 1998 08 1110.
 1998 07 6211.
 1998 06 909.
 1998 05 8911.
 1998 04 612·
 1998 03 669·
 1998 02 281·
 1998 01 567·
 1997 12  246·
 1997 11  4112.
 1997 10  512·
 1997 09  7513·
 1997 08  7713.
 1997 07  3016.
 1997 06  9510.
 1997 05  525.
 1997 04  515·
 1997 03  48.
 1997 02  011·
 1997 01  2013.
 1996 12 6810·
 1996 11 5510.
 1996 10 4415.
 1996 09 3431·
 1996 08 5615·
 1996 07 39·
 1996 06 7911.
 1996 05 7721·
 1996 04 827.
 1996 03 9317·
 1996 02 7912.
 1996 01 5622.
 1995 12  8214·
 1995 11  9317.
 1995 10  4614.
 1995 09  15.
 1995 08  2022·
 1995 07  9714.
 1995 06  320.
 1995 05  6913.
 1995 04  857·
 1995 03  2511.
 1995 02  210.
 1995 01  438.
 1994 12 885·
 1994 11 216.
 1994 10 1920·
 1994 09 2822.
 1994 08 6823·
 1994 07 5414·
 1994 06 5310.
 1994 05 5725·
 1994 04 8721·
 1994 03 1813·
 1994 02 3014·
 1994 01 8614.
 1993 12  3411.
 1993 11  3214.
 1993 10  0
 1993 09  967.
 1993 08  219.
 1993 07  4011.
 1993 06  399.
 1993 05  9510·
 1993 04  8711·
 1993 03  1210.
 1993 02  4623.
 1993 01  1424.
 1992 12 9321.
 1992 11 4222·
 1992 10 4922·
 1992 09 916·
 1992 08 2927.
 1992 07 4932·
 1992 06 9627.
 1992 05 6322.
 1992 04 724.
 1992 03 7619·
 1992 02 6312.
 1992 01 8113·
 1991 12  6425.
 1991 11  9311.
 1991 10  5213·
 1991 09  969.
 1991 08  6410.
 1991 07  9510.
 1991 06  869·
 1991 05  6511·
 1991 04  959·
 1991 03  08.
 1991 02  165.
 1991 01  677·
 1990 12 695.
 1990 11 538.
 1990 10 18
 1990 09 125·
 1990 08 2512·
 1990 07 224.
 1990 06 93
 1990 05 298·
 1990 04 2414·
 1990 03 26.
 1990 02 658.
 1990 01 764·
 1989 12  568·
 1989 11  127·
 1989 10  854·
 1989 09  353.
 1989 08  342·
 1989 07  956·
 1989 06  29
 1989 05  124·
 1989 04  942.
 1989 03  225·
 1989 02  966.
 1989 01  387·
 1988 12 993.
 1988 11 873.
 1988 10 124·
 1988 09 708.
 1988 08 395·
 1988 07 83·
 1988 06 281·
 1988 05 91
 1988 04 257·
 1988 03 294·
 1988 02 19
 1988 01 55.
 1987 12  968·
 1987 11  2110·
 1987 10  856.
 1987 09  478·
 1987 08  1410.
 1987 07  765.
 1987 05  524.
 1987 04  712·
 1987 03  672·
 1987 02  142.
 1987 01  706.
 1986 12 595.
 1986 11 691.
 1986 09 797.
 1986 08 152.
 1986 07 196.
 1986 06 564.
 1986 05 41
 1986 04 86
 1986 03 817.
 1986 02 934·
 1986 01 931.
 1985 12  10
 1985 11  33·
 1985 10  664.
 1985 09  556·
 1985 08  3610.
 1985 07  66
 1985 06  895·
 1985 05  706.
 1985 04  408.
 1985 03  764.
 1985 02  05.
 1985 01  91·
 1984 12 239·
 1984 11 669·
 1984 10 618.
 1984 09 6410.
 1984 08 1011.
 1984 07 9210·
 1984 06 619·
 1984 05 5612.
 1984 04 517.
 1984 03 3510·
 1984 02 12
 1984 01 286.
 1983 12  218·
 1983 11  39.
 1983 10  529·
 1983 09  4912.
 1983 08  2213·
 1983 07  267·
 1983 06  447.
 1983 05  149.
 1983 04  7814.
 1983 03  6216·
 1983 02  776·
 1983 01  4218.
 1982 12 405.
 1982 11 9210·
 1982 10 629.
 1982 09 766·
 1982 08 83
 1982 07 239.
 1982 06 384.
 1982 05 8713.
 1982 04 74.
 1982 03 876.
 1982 02 672.
 1982 01 671.
 1981 12  385.
 1981 11  406·
 1981 10  382.
 1981 09  376·
 1981 08  278.
 1981 07  638.
 1981 06  6310.
 1981 05  406.
 1981 04  497.
 1981 03  645.
 1981 02  812.
 1981 01  465.
 1980 12 43·
 1980 11 734·
 1980 10 54
 1980 09 496.
 1980 08 177.
 1980 07 499.
 1980 06 707.
 1980 05 685.
 1980 04 392.
 1980 03 714.
 1980 02 424.
 1980 01 466·
 1979 12  455·
 1979 11  484.
 1979 10  81·
 1979 09  542.
 1979 08  362.
 1979 07  103·
 1979 06  313.
 1979 05  852.
 1979 04  384.
 1979 03  154·
 1979 01  982·
 1978 11 583.
 1978 10 994.
 1978 09 437.
 1978 08 235·
 1978 07 186.
 1978 06 9714.
 1978 05 26.
 1978 04 449.
 1978 03 3311·
 1978 02 3110.
 1978 01 2212·
 1977 12  2214.
 1977 11  9915·
 1977 10  2619·
 1977 09  6213.
 1977 08  4711·
 1977 07  3317.
 1977 06  3417·
 1977 05  211·
 1977 04  3111·
 1977 03  8117·
 1977 02  2914·
 1977 01  4917.
 1976 12 1214.
 1976 11 1018·
 1976 10 1215.
 1976 09 3523·
 1976 08 5311.
 1976 07 1624.
 1976 06 814.
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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 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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