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 Series Title: Of Total Unemployed 55-64 years, Women, Percent Unemployed 15 Weeks 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 3171·2
 2012 03 1770·2
 2012 02 9367.3
 2012 01 1263·4
 2011 12  5169·0
 2011 11  8975·8
 2011 10  670.2
 2011 09  1570·6
 2011 08  565·4
 2011 07  2861.4
 2011 06  9067·2
 2011 05  8572.0
 2011 04  4672·9
 2011 03  1671·6
 2011 02  5666.1
 2011 01  6763.5
 2010 12 4772·1
 2010 11 5971·3
 2010 10 4272·5
 2010 09 3069·2
 2010 08 963.4
 2010 07 9064·1
 2010 06 1270.8
 2010 05 6874·6
 2010 04 5874.9
 2010 03 6464·4
 2010 02 5365.0
 2010 01 065·2
 2009 12  4469·8
 2009 11  6467·5
 2009 10  7866·5
 2009 09  6966.5
 2009 08  4357·4
 2009 07  9652·1
 2009 06  2558.9
 2009 05  4651.9
 2009 04  5455.3
 2009 03  9250.7
 2009 02  5748.1
 2009 01  2542·2
 2008 12 352.7
 2008 11 852·1
 2008 10 6150·8
 2008 09 2447.4
 2008 08 4240·2
 2008 07 2631·0
 2008 06 5234.1
 2008 05 8749.6
 2008 04 4445.8
 2008 03 5234.4
 2008 02 6642.6
 2008 01 8539·9
 2007 12  1043·9
 2007 11  1952.1
 2007 10  6645.8
 2007 09  1037·2
 2007 08  6635.1
 2007 07  8328·5
 2007 06  4137·6
 2007 05  8340.8
 2007 04  6345·1
 2007 03  2536.4
 2007 02  336·7
 2007 01  4630.4
 2006 12 7540·8
 2006 11 5340.2
 2006 10 9047·3
 2006 09 7047.2
 2006 08 347.9
 2006 07 9741·0
 2006 06 6536·6
 2006 05 4938·0
 2006 04 7243.3
 2006 03 1541·9
 2006 02 1638.4
 2006 01 139.9
 2005 12  3340·6
 2005 11  8846.5
 2005 10  5646·8
 2005 09  7242·2
 2005 08  6143.1
 2005 07  2232·8
 2005 06  2237·1
 2005 05  2946.1
 2005 04  5754.2
 2005 03  5053·3
 2005 02  7955·8
 2005 01  6740.7
 2004 12 4656·5
 2004 11 2848.9
 2004 10 1239.3
 2004 09 547.5
 2004 08 7744·2
 2004 07 3837.1
 2004 06 3641.2
 2004 05 8842.1
 2004 04 2845·3
 2004 03 8652·0
 2004 02 8846.8
 2004 01 8456·5
 2003 12  9848·6
 2003 11  445·9
 2003 10  3249·5
 2003 09  8850·6
 2003 08  1246·2
 2003 07  4942·7
 2003 06  5441·4
 2003 05  1945.6
 2003 04  2145.5
 2003 03  151·5
 2003 02  6853·9
 2003 01  2046.7
 2002 12 044·3
 2002 11 6947.0
 2002 10 1241·9
 2002 09 6245.7
 2002 08 4938.4
 2002 07 8341.0
 2002 06 4953.5
 2002 05 3850.1
 2002 04 9546.3
 2002 03 137.0
 2002 02 6731.6
 2002 01 6738·9
 2001 12  8830·9
 2001 11  337·5
 2001 10  7834·6
 2001 09  9439·5
 2001 08  235·0
 2001 07  9636·6
 2001 06  2032·8
 2001 05  8728·9
 2001 04  3821.8
 2001 03  1328·3
 2001 02  5631.6
 2001 01  4130·4
 2000 12 2236·7
 2000 11 938·9
 2000 10 7544·0
 2000 09 7535·3
 2000 08 421.2
 2000 07 6723.1
 2000 06 8924.4
 2000 05 3334·8
 2000 04 5926·4
 2000 03 9336·2
 2000 02 3629·4
 2000 01 8530.7
 1999 12  8823·0
 1999 11  1830·3
 1999 10  7839·7
 1999 09  2324.7
 1999 08  1628.7
 1999 07  028·2
 1999 06  431·3
 1999 05  6837.9
 1999 04  9334.4
 1999 03  2030.7
 1999 02  2739.9
 1999 01  6427.8
 1998 12 9636.1
 1998 11 8426·5
 1998 10 8532·7
 1998 09 8058·3
 1998 08 2439·0
 1998 07 2437·3
 1998 06 4048·4
 1998 05 947.8
 1998 04 322.7
 1998 03 9740.2
 1998 02 8034·7
 1998 01 7127.9
 1997 12  8227·8
 1997 11  8534.7
 1997 10  1837.6
 1997 09  1141·3
 1997 08  3834·0
 1997 07  9443.5
 1997 06  9247·9
 1997 05  9750.7
 1997 04  7249·0
 1997 03  5536.1
 1997 02  6540·2
 1997 01  2339·2
 1996 12 739·9
 1996 11 2633·1
 1996 10 2547.9
 1996 09 943·4
 1996 08 9544·9
 1996 07 8832·4
 1996 06 8534·8
 1996 05 9943·3
 1996 04 1148·0
 1996 03 4852.9
 1996 02 8349.3
 1996 01 6238·9
 1995 12  5631·9
 1995 11  3732.6
 1995 10  8137.8
 1995 09  9142·1
 1995 08  5434·0
 1995 07  1238.4
 1995 06  6729.3
 1995 05  739·2
 1995 04  5740.9
 1995 03  5539.6
 1995 02  5537·0
 1995 01  5333·2
 1994 12 3937.2
 1994 11 7241·8
 1994 10 8252.0
 1994 09 9946·3
 1994 08 137.7
 1994 07 9430·9
 1994 06 1144.1
 1994 05 3848.7
 1994 04 6950·7
 1994 03 8047·4
 1994 02 3046.9
 1994 01 9041.9
 1993 12  9257.8
 1993 11  945·6
 1993 10  5143.8
 1993 09  9846·3
 1993 08  4741·1
 1993 07  8946.1
 1993 06  1445.9
 1993 05  3345·7
 1993 04  3347·6
 1993 03  5247·2
 1993 02  8039.4
 1993 01  8837·0
 1992 12 7643·6
 1992 11 5451·9
 1992 10 3845·5
 1992 09 8250.7
 1992 08 2741.7
 1992 07 7645·8
 1992 06 046·9
 1992 05 6054.0
 1992 04 6059.0
 1992 03 2648·8
 1992 02 544.4
 1992 01 9044·8
 1991 12  7752·5
 1991 11  3557.7
 1991 10  1449.9
 1991 09  6742.6
 1991 08  137·0
 1991 07  6033.1
 1991 06  1742.0
 1991 05  935·2
 1991 04  8532.4
 1991 03  8227·5
 1991 02  2628.5
 1991 01  6233.2
 1990 12 334.2
 1990 11 722·4
 1990 10 7822.3
 1990 09 9431·8
 1990 08 5619·2
 1990 07 6927.6
 1990 06 3826·8
 1990 05 9924.9
 1990 04 6924.6
 1990 03 2230.2
 1990 02 9227·3
 1990 01 9718·0
 1989 12  9326·5
 1989 11  5011·9
 1989 10  5418·8
 1989 09  3117·9
 1989 08  216·5
 1989 07  5824·1
 1989 06  6131.4
 1989 05  7130.2
 1989 04  9832.6
 1989 03  7831·5
 1989 02  7629·1
 1989 01  1028.7
 1988 12 533·2
 1988 11 6733.4
 1988 10 8829·8
 1988 09 6927.5
 1988 08 7422.0
 1988 07 631.1
 1988 06 834·3
 1988 05 9040.8
 1988 04 8140.6
 1988 03 326.8
 1988 02 7635·6
 1988 01 4435·7
 1987 12  2528.7
 1987 11  8837·3
 1987 10  5439.3
 1987 09  2536·0
 1987 08  3332.0
 1987 07  1832·9
 1987 06  2928.3
 1987 05  5137.4
 1987 04  5432.4
 1987 03  7523·5
 1987 02  1530.8
 1987 01  6630.3
 1986 12 6530·9
 1986 11 6742·0
 1986 10 5037.2
 1986 09 4139.4
 1986 08 6438·4
 1986 07 2330·9
 1986 06 9631.1
 1986 05 6835·5
 1986 04 7939·2
 1986 03 139·6
 1986 02 4139.6
 1986 01 6733.2
 1985 12  5835.0
 1985 11  8323.8
 1985 10  9934.6
 1985 09  8336.3
 1985 08  7933.8
 1985 07  7537·2
 1985 06  744·0
 1985 05  8442·1
 1985 04  4032·8
 1985 03  836.7
 1985 02  2824·9
 1985 01  6532·4
 1984 12 6737.4
 1984 11 4133.1
 1984 10 5036·4
 1984 09 4448.0
 1984 08 1132.3
 1984 07 5337.2
 1984 06 8540.8
 1984 05 6650.5
 1984 04 4849·6
 1984 03 5238·5
 1984 02 7237·7
 1984 01 047·0
 1983 12  7734.6
 1983 11  7033·7
 1983 10  7439·5
 1983 09  4038·0
 1983 08  2342.2
 1983 07  6248.0
 1983 06  7852.5
 1983 05  656·0
 1983 04  3856.7
 1983 03  1153·7
 1983 02  9841.3
 1983 01  4041·4
 1982 12 9740·2
 1982 11 2444.7
 1982 10 7141.6
 1982 09 1331·5
 1982 08 035.6
 1982 07 3137.3
 1982 06 6040·1
 1982 05 1938.4
 1982 04 7233.1
 1982 03 9032·2
 1982 02 5333·2
 1982 01 7724·6
 1981 12  6428·6
 1981 11  8242.5
 1981 10  6330.7
 1981 09  3032.2
 1981 08  5231.6
 1981 07  1538.2
 1981 06  2836.4
 1981 05  4940.0
 1981 04  3537.2
 1981 03  1828.9
 1981 02  1142·1
 1981 01  2736·7
 1980 12 3922·9
 1980 11 5027·7
 1980 10 9926·8
 1980 09 8332·5
 1980 08 1427.7
 1980 07 9233·8
 1980 06 534·5
 1980 05 6227·0
 1980 04 3728.0
 1980 03 5019.6
 1980 02 6830·1
 1980 01 3224·9
 1979 12  627.8
 1979 11  5623·3
 1979 10  5121.2
 1979 09  8824.9
 1979 08  4818.9
 1979 07  6726·2
 1979 06  4029·1
 1979 05  4927·3
 1979 04  1334·3
 1979 03  6433.9
 1979 02  4926.9
 1979 01  5928·7
 1978 12 7624.5
 1978 11 5428.1
 1978 10 1742.5
 1978 09 8828·9
 1978 08 3936·8
 1978 07 6942.9
 1978 06 530.3
 1978 05 2846.2
 1978 04 2536.8
 1978 03 6532.1
 1978 02 226.1
 1978 01 031·0
 1977 12  8629.6
 1977 11  2433·9
 1977 10  2139.2
 1977 09  4834.9
 1977 08  9733.7
 1977 07  5340·6
 1977 06  9941.1
 1977 05  4044.0
 1977 04  5843.4
 1977 03  8341·8
 1977 02  9929·6
 1977 01  7237.5
 1976 12 9541·7
 1976 11 7042·2
 1976 10 1039.8
 1976 09 6136.8
 1976 08 5745·1
 1976 07 9735.4
 1976 06 4445.5
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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 15 Weeks 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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