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 Series Title: Of Total Unemployed 55-64 years, Women, Percent Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4611.3
 2012 03 3711·8
 2012 02 1812·3
 2012 01 7415.0
 2011 12  1318·2
 2011 11  4512·6
 2011 10  8213.9
 2011 09  6713·8
 2011 08  2214.2
 2011 07  2720.2
 2011 06  2316·8
 2011 05  3311.4
 2011 04  2212·7
 2011 03  6413·0
 2011 02  519·2
 2011 01  1815·5
 2010 12 8911.6
 2010 11 6313.8
 2010 10 710.5
 2010 09 899·5
 2010 08 2415·2
 2010 07 5515·6
 2010 06 5217.5
 2010 05 4111.9
 2010 04 519·6
 2010 03 9710.6
 2010 02 7516.8
 2010 01 9318.1
 2009 12  2217·1
 2009 11  7113·5
 2009 10  8815.5
 2009 09  9014·5
 2009 08  1214·2
 2009 07  8322·3
 2009 06  2917·5
 2009 05  020·1
 2009 04  2119.9
 2009 03  6519.2
 2009 02  6223.3
 2009 01  1830.4
 2008 12 7421.7
 2008 11 7323·2
 2008 10 7329·6
 2008 09 6329·5
 2008 08 2226.2
 2008 07 9031.4
 2008 06 7642·1
 2008 05 7927.0
 2008 04 4021·8
 2008 03 2226.2
 2008 02 1031·3
 2008 01 3535·5
 2007 12  2933·5
 2007 11  025.0
 2007 10  3625.2
 2007 09  2426·4
 2007 08  1424·8
 2007 07  8239.4
 2007 06  4242·5
 2007 05  6834.4
 2007 04  4533.2
 2007 03  4830·5
 2007 02  4230.4
 2007 01  938.9
 2006 12 9831.5
 2006 11 632.9
 2006 10 7326.7
 2006 09 1632.4
 2006 08 7323.3
 2006 07 8631·6
 2006 06 9935.9
 2006 05 8433·5
 2006 04 9637.6
 2006 03 4729.9
 2006 02 735·4
 2006 01 3235.7
 2005 12  1725·7
 2005 11  6933·4
 2005 10  1024·9
 2005 09  425·7
 2005 08  1120.1
 2005 07  5837.2
 2005 06  4533·7
 2005 05  7026.7
 2005 04  7922.5
 2005 03  4824·3
 2005 02  7722.1
 2005 01  2330.9
 2004 12 4718.1
 2004 11 9419·2
 2004 10 9225.8
 2004 09 8232.9
 2004 08 6326·3
 2004 07 7729.0
 2004 06 430.3
 2004 05 9131.4
 2004 04 529·3
 2004 03 625.5
 2004 02 5123·5
 2004 01 2121·6
 2003 12  7218.9
 2003 11  1025.9
 2003 10  9527.5
 2003 09  6421.7
 2003 08  9020.5
 2003 07  4727·0
 2003 06  2430.3
 2003 05  4133·3
 2003 04  833·0
 2003 03  9926.9
 2003 02  5117.7
 2003 01  9528·0
 2002 12 431·3
 2002 11 7216.5
 2002 10 1428·6
 2002 09 9526.7
 2002 08 7630·4
 2002 07 9728.2
 2002 06 7724·6
 2002 05 3528.6
 2002 04 5022·9
 2002 03 3227·5
 2002 02 2633.8
 2002 01 3529·9
 2001 12  7736.9
 2001 11  5933·0
 2001 10  7530.7
 2001 09  3926.9
 2001 08  3334·4
 2001 07  8234.2
 2001 06  6151·1
 2001 05  1641.1
 2001 04  1650·5
 2001 03  3540·3
 2001 02  4833.7
 2001 01  5940.5
 2000 12 5423.5
 2000 11 7429.6
 2000 10 2442.8
 2000 09 8930.6
 2000 08 9537·2
 2000 07 8143·9
 2000 06 053.6
 2000 05 4935.0
 2000 04 1741·1
 2000 03 6225.6
 2000 02 1626·5
 2000 01 941·0
 1999 12  1838.6
 1999 11  4940·2
 1999 10  3430.7
 1999 09  6245·4
 1999 08  2529.5
 1999 07  9841.6
 1999 06  4241.2
 1999 05  2838.5
 1999 04  8735·1
 1999 03  9237.7
 1999 02  5337.6
 1999 01  5146·4
 1998 12 8124.5
 1998 11 3643·0
 1998 10 533·7
 1998 09 9924·1
 1998 08 627·5
 1998 07 6336·7
 1998 06 6035·8
 1998 05 6828.7
 1998 04 8837·6
 1998 03 2928.7
 1998 02 731.4
 1998 01 7745.9
 1997 12  7834·0
 1997 11  1539·8
 1997 10  5840.3
 1997 09  6831·4
 1997 08  5039·1
 1997 07  2932·7
 1997 06  5237.1
 1997 05  1233·7
 1997 04  629·9
 1997 03  234.9
 1997 02  5125·0
 1997 01  336.7
 1996 12 7028·2
 1996 11 9131·7
 1996 10 4220·5
 1996 09 6027·6
 1996 08 9323.7
 1996 07 7733·6
 1996 06 4036.3
 1996 05 2737.1
 1996 04 5030·9
 1996 03 6718·0
 1996 02 8217·7
 1996 01 7326.4
 1995 12  4226·5
 1995 11  9239.8
 1995 10  3031·7
 1995 09  9220.2
 1995 08  9426.8
 1995 07  1033·0
 1995 06  7445·4
 1995 05  432·4
 1995 04  5629·2
 1995 03  137·5
 1995 02  2426·5
 1995 01  5242·0
 1994 12 533·3
 1994 11 7333·3
 1994 10 2029·4
 1994 09 626·0
 1994 08 3926·2
 1994 07 5842.9
 1994 06 2533·2
 1994 05 5927.4
 1994 04 8631.0
 1994 03 1122.9
 1994 02 2526·9
 1994 01 3234·2
 1993 12  9416.6
 1993 11  1427·9
 1993 10  3531.5
 1993 09  6828·1
 1993 08  4030.5
 1993 07  7431.2
 1993 06  9236.7
 1993 05  3628.1
 1993 04  2325.4
 1993 03  2421.3
 1993 02  5924·5
 1993 01  3043.6
 1992 12 7028·0
 1992 11 1823·4
 1992 10 2324·8
 1992 09 7025·7
 1992 08 3029·7
 1992 07 3929·7
 1992 06 9831·2
 1992 05 026.8
 1992 04 8020·8
 1992 03 9519.2
 1992 02 2225·0
 1992 01 8824·6
 1991 12  1821·1
 1991 11  1527.8
 1991 10  5724.4
 1991 09  3027.1
 1991 08  7238.0
 1991 07  5734.6
 1991 06  9235·5
 1991 05  4333.4
 1991 04  9129.2
 1991 03  336.7
 1991 02  3935.8
 1991 01  7339·9
 1990 12 5018·5
 1990 11 5926.5
 1990 10 3536·2
 1990 09 8837·1
 1990 08 5051.3
 1990 07 5741.0
 1990 06 4538·5
 1990 05 8334·9
 1990 04 1739.9
 1990 03 5344·6
 1990 02 5644.0
 1990 01 7647.0
 1989 12  042·0
 1989 11  3051.0
 1989 10  8145.4
 1989 09  1241.6
 1989 08  7536·1
 1989 07  9343.4
 1989 06  5742·4
 1989 05  6033·9
 1989 04  4338·3
 1989 03  7436·9
 1989 02  4849.8
 1989 01  1433·0
 1988 12 2944·5
 1988 11 3128·5
 1988 10 4141.5
 1988 09 9456.0
 1988 08 8345·6
 1988 07 4440·2
 1988 06 5049.0
 1988 05 4238.7
 1988 04 8132·9
 1988 03 2132.6
 1988 02 1236·8
 1988 01 3044.4
 1987 12  2343.6
 1987 11  9236·4
 1987 10  9040.1
 1987 09  5035·2
 1987 08  3442·4
 1987 07  1537·4
 1987 06  7241·2
 1987 05  2136.0
 1987 04  6635·7
 1987 03  7137·4
 1987 02  7138·5
 1987 01  8942·4
 1986 12 9238.3
 1986 11 6830.6
 1986 10 2535·1
 1986 09 2237·8
 1986 08 1439.0
 1986 07 3537·4
 1986 06 9740·8
 1986 05 1430.4
 1986 04 5728·3
 1986 03 3130·4
 1986 02 7432·9
 1986 01 8442·5
 1985 12  7241·0
 1985 11  3747·3
 1985 10  7036.1
 1985 09  7739·2
 1985 08  3333.4
 1985 07  5935.5
 1985 06  2238·0
 1985 05  6137.9
 1985 04  4139.8
 1985 03  2940·1
 1985 02  9342.8
 1985 01  3139·2
 1984 12 2326·8
 1984 11 432.5
 1984 10 7240.8
 1984 09 626·5
 1984 08 2737.8
 1984 07 6536.9
 1984 06 7039·2
 1984 05 3029·7
 1984 04 2935·7
 1984 03 2030·1
 1984 02 2740.1
 1984 01 7329·4
 1983 12  3037·6
 1983 11  9942.1
 1983 10  437·6
 1983 09  2744.6
 1983 08  5640.2
 1983 07  5932·4
 1983 06  9032·7
 1983 05  1324.9
 1983 04  5622.2
 1983 03  8219.0
 1983 02  9832.6
 1983 01  7534.5
 1982 12 531.5
 1982 11 7529.4
 1982 10 6531.8
 1982 09 8235.5
 1982 08 635·9
 1982 07 6834·0
 1982 06 5428.3
 1982 05 2736.4
 1982 04 8235.7
 1982 03 2034.2
 1982 02 5434·2
 1982 01 3044·9
 1981 12  8441·9
 1981 11  1131·9
 1981 10  7734.5
 1981 09  3640·2
 1981 08  8736·6
 1981 07  4943·2
 1981 06  6136.2
 1981 05  1337·3
 1981 04  9230.8
 1981 03  6436·0
 1981 02  6930.8
 1981 01  5528·0
 1980 12 2532.4
 1980 11 1341·9
 1980 10 8941·0
 1980 09 8231·9
 1980 08 3539·7
 1980 07 7940.3
 1980 06 3433.2
 1980 05 3846·3
 1980 04 9935.6
 1980 03 6742·5
 1980 02 4134·8
 1980 01 9242·4
 1979 12  1635·3
 1979 11  948.9
 1979 10  7450.6
 1979 09  3742·5
 1979 08  1149.9
 1979 07  6351·4
 1979 06  2049.3
 1979 05  9438·9
 1979 04  3631·2
 1979 03  929·8
 1979 02  9236·7
 1979 01  642·5
 1978 12 6646·3
 1978 11 5451.6
 1978 10 2940·4
 1978 09 4345·9
 1978 08 039.5
 1978 07 3135·3
 1978 06 9341.7
 1978 05 9833.0
 1978 04 6538.4
 1978 03 9535.1
 1978 02 7145.8
 1978 01 9142·0
 1977 12  1136·7
 1977 11  2838·6
 1977 10  7832·0
 1977 09  6633.4
 1977 08  1343·7
 1977 07  3631.5
 1977 06  5034·8
 1977 05  9131·8
 1977 04  7130·9
 1977 03  5326.5
 1977 02  5141·8
 1977 01  6236·1
 1976 12 1231·7
 1976 11 3334.5
 1976 10 6927.6
 1976 09 9741·1
 1976 08 8432.3
 1976 07 5943.2
 1976 06 1631.0
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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: Of Total Unemployed 55-64 years, Women, Percent Unemployed Less than 5 Weeks: 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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