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 Series Title: Of Total Unemployed 45-54 years 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 04 371.9
 2012 03 4765·7
 2012 02 9761.2
 2012 01 8458.5
 2011 12  5759.4
 2011 11  7165.8
 2011 10  8366·6
 2011 09  7769.2
 2011 08  2163.5
 2011 07  3864.0
 2011 06  1365.2
 2011 05  1371.7
 2011 04  4569.3
 2011 03  2967·5
 2011 02  064·9
 2011 01  3562.7
 2010 12 566.0
 2010 11 5066·9
 2010 10 8369.9
 2010 09 1365.1
 2010 08 163·0
 2010 07 3466·3
 2010 06 2468.3
 2010 05 4172.0
 2010 04 5976.0
 2010 03 3669.5
 2010 02 1162.2
 2010 01 3861·9
 2009 12  2964·5
 2009 11  3865.8
 2009 10  5867.6
 2009 09  4863·9
 2009 08  8758·9
 2009 07  4855·0
 2009 06  157·2
 2009 05  4058·4
 2009 04  3260.2
 2009 03  9651·5
 2009 02  546·1
 2009 01  941.7
 2008 12 9144.2
 2008 11 4040.7
 2008 10 5647.0
 2008 09 7347·0
 2008 08 1346.4
 2008 07 6144·8
 2008 06 6843·9
 2008 05 7748·5
 2008 04 7450·4
 2008 03 6542·8
 2008 02 7838·3
 2008 01 8938·5
 2007 12  7440·6
 2007 11  8541.1
 2007 10  5040·4
 2007 09  542.8
 2007 08  4039·4
 2007 07  7636.8
 2007 06  7140·6
 2007 05  4345·8
 2007 04  2044·4
 2007 03  2144·9
 2007 02  5538·2
 2007 01  4736.5
 2006 12 9137·4
 2006 11 2639.4
 2006 10 3834·6
 2006 09 8641.6
 2006 08 5340.9
 2006 07 2337.1
 2006 06 8538·1
 2006 05 5543.3
 2006 04 3142·7
 2006 03 6943·8
 2006 02 8344·3
 2006 01 7336.8
 2005 12  7637·9
 2005 11  4442·4
 2005 10  4441.1
 2005 09  8340.3
 2005 08  6344·6
 2005 07  5737.5
 2005 06  742.5
 2005 05  5549.9
 2005 04  9348.6
 2005 03  3846.7
 2005 02  3543.5
 2005 01  8443.1
 2004 12 9042.7
 2004 11 4347.1
 2004 10 1547.4
 2004 09 8745·4
 2004 08 643·6
 2004 07 5641·4
 2004 06 6046.0
 2004 05 1050·4
 2004 04 1652·7
 2004 03 8254.6
 2004 02 950.5
 2004 01 2246.5
 2003 12  1949·6
 2003 11  5253·8
 2003 10  2452·1
 2003 09  1649·5
 2003 08  4242.8
 2003 07  2542.6
 2003 06  9248.6
 2003 05  1252·7
 2003 04  3553.4
 2003 03  8047·1
 2003 02  2848·0
 2003 01  5443.2
 2002 12 7446·6
 2002 11 2646.2
 2002 10 6947.7
 2002 09 1048·9
 2002 08 5741.2
 2002 07 9342.7
 2002 06 7741·8
 2002 05 7749·7
 2002 04 1245.8
 2002 03 3844·8
 2002 02 4139.9
 2002 01 7135·7
 2001 12  8835.1
 2001 11  4338·1
 2001 10  7434·1
 2001 09  3832.3
 2001 08  6131·6
 2001 07  1430.7
 2001 06  1231.0
 2001 05  4736·3
 2001 04  3233.3
 2001 03  8332·9
 2001 02  2034·6
 2001 01  9130·5
 2000 12 2433·0
 2000 11 729·3
 2000 10 8632·2
 2000 09 9027.9
 2000 08 9027.5
 2000 07 6826.6
 2000 06 2126.4
 2000 05 8934.7
 2000 04 439.1
 2000 03 7134·8
 2000 02 6427·3
 2000 01 5529·0
 1999 12  6732·1
 1999 11  4930.3
 1999 10  7828.7
 1999 09  8431.3
 1999 08  432·6
 1999 07  5930·3
 1999 06  5137·5
 1999 05  9440·6
 1999 04  6640.4
 1999 03  8132·3
 1999 02  9528·9
 1999 01  3032.0
 1998 12 2830·6
 1998 11 2330.7
 1998 10 4933.0
 1998 09 6130.9
 1998 08 9030·7
 1998 07 1629.1
 1998 06 7534·9
 1998 05 8142·9
 1998 04 7733.7
 1998 03 1740.8
 1998 02 6236.6
 1998 01 833·0
 1997 12  4137·4
 1997 11  841·0
 1997 10  2240.8
 1997 09  8841·3
 1997 08  5637·7
 1997 07  9440.8
 1997 06  9240·5
 1997 05  8946.2
 1997 04  2341·1
 1997 03  834·7
 1997 02  3734.6
 1997 01  633.5
 1996 12 6839·1
 1996 11 736.9
 1996 10 4444.0
 1996 09 5738.3
 1996 08 4040·1
 1996 07 7240.2
 1996 06 2542.0
 1996 05 8745·9
 1996 04 1551.9
 1996 03 952.4
 1996 02 1940·0
 1996 01 6535·6
 1995 12  9337·4
 1995 11  5137.3
 1995 10  8840.3
 1995 09  8539·6
 1995 08  140·9
 1995 07  5439·6
 1995 06  2140.4
 1995 05  6650.5
 1995 04  8751·5
 1995 03  9945.6
 1995 02  3040·6
 1995 01  5240.8
 1994 12 2842.5
 1994 11 9441.5
 1994 10 5448·3
 1994 09 1348.7
 1994 08 2542·0
 1994 07 6946.5
 1994 06 5447·1
 1994 05 4249·2
 1994 04 150·1
 1994 03 8249·9
 1994 02 2048·5
 1994 01 5942·7
 1993 12  947.1
 1993 11  1450.8
 1993 10  6349·8
 1993 09  848·4
 1993 08  2244.1
 1993 07  7247·5
 1993 06  2247.9
 1993 05  5853.8
 1993 04  4350·5
 1993 03  8847.8
 1993 02  6045.2
 1993 01  347·5
 1992 12 9549·1
 1992 11 1746·9
 1992 10 6446.8
 1992 09 6347.0
 1992 08 2949·7
 1992 07 4350.3
 1992 06 4853.6
 1992 05 8152·2
 1992 04 2151·1
 1992 03 7047·3
 1992 02 4940.9
 1992 01 2641.7
 1991 12  7242.6
 1991 11  3241·6
 1991 10  3040.5
 1991 09  9337.5
 1991 08  637·1
 1991 07  8437.5
 1991 06  7942·2
 1991 05  141.9
 1991 04  7446.8
 1991 03  939.4
 1991 02  933.3
 1991 01  9433.2
 1990 12 5130·9
 1990 11 1231·8
 1990 10 5828·5
 1990 09 4133.7
 1990 08 3833·8
 1990 07 2735·7
 1990 06 8933·7
 1990 05 3633·1
 1990 04 6038.3
 1990 03 834.1
 1990 02 9030.0
 1990 01 9927·6
 1989 12  6728.1
 1989 11  3830.0
 1989 10  7324.1
 1989 09  7331·5
 1989 08  3530.6
 1989 07  2432·8
 1989 06  7631.2
 1989 05  2837·7
 1989 04  6534·4
 1989 03  9733·3
 1989 02  6331·6
 1989 01  5827·6
 1988 12 8133·3
 1988 11 1329·7
 1988 10 2135.3
 1988 09 8230.1
 1988 08 3434·0
 1988 07 5532·4
 1988 06 6438·7
 1988 05 4440.5
 1988 04 036.8
 1988 03 2942.2
 1988 02 2836·3
 1988 01 1330·9
 1987 12  7833·0
 1987 11  6733·0
 1987 10  7735.9
 1987 09  8442·7
 1987 08  9537.8
 1987 07  2538.7
 1987 06  9945.4
 1987 05  7542·7
 1987 04  043·2
 1987 03  8640.3
 1987 02  638.7
 1987 01  3133·9
 1986 12 7034.0
 1986 11 5434.9
 1986 10 3833·4
 1986 09 2037·5
 1986 08 336.4
 1986 07 6336.9
 1986 06 5544·9
 1986 05 3845.5
 1986 04 2741.6
 1986 03 6937·9
 1986 02 4733·9
 1986 01 333·7
 1985 12  9034·2
 1985 11  5438·0
 1985 10  2636.2
 1985 09  5937.1
 1985 08  7036·2
 1985 07  2336.2
 1985 06  3141·8
 1985 05  7539.1
 1985 04  6543.7
 1985 03  1040.7
 1985 02  2341·2
 1985 01  4637.2
 1984 12 133.7
 1984 11 7034.4
 1984 10 9141·7
 1984 09 9037·2
 1984 08 2937.4
 1984 07 8533.8
 1984 06 4844·0
 1984 05 5342.1
 1984 04 2545.7
 1984 03 6244.3
 1984 02 3244.2
 1984 01 244·4
 1983 12  8842·7
 1983 11  3245·7
 1983 10  546.8
 1983 09  3245.8
 1983 08  4347.7
 1983 07  5251.4
 1983 06  5656·4
 1983 05  6357·4
 1983 04  4252·2
 1983 03  451.9
 1983 02  9747.4
 1983 01  3847·7
 1982 12 6045.3
 1982 11 9443.5
 1982 10 6743.2
 1982 09 2639.8
 1982 08 9739·6
 1982 07 5537·6
 1982 06 2745.5
 1982 05 2241·2
 1982 04 7842·2
 1982 03 4137·6
 1982 02 6731.7
 1982 01 4526.8
 1981 12  5430·8
 1981 11  3630·8
 1981 10  9829·7
 1981 09  3934·1
 1981 08  134·5
 1981 07  4629.7
 1981 06  5937·7
 1981 05  7342·2
 1981 04  1840·1
 1981 03  340·7
 1981 02  1334.8
 1981 01  4137.0
 1980 12 3140·1
 1980 11 6237.2
 1980 10 4837·1
 1980 09 6239.5
 1980 08 9030.1
 1980 07 630.0
 1980 06 7631·4
 1980 05 8132·4
 1980 04 7134.2
 1980 03 4230·0
 1980 02 3623·3
 1980 01 6723·0
 1979 12  7524.7
 1979 11  127.0
 1979 10  8926·7
 1979 09  1326.7
 1979 08  2629·6
 1979 07  4023·5
 1979 06  2526.1
 1979 05  3938·2
 1979 04  7531.4
 1979 03  4036.5
 1979 02  5627·9
 1979 01  8925·3
 1978 12 9725·3
 1978 11 829·0
 1978 10 2031·2
 1978 09 3334·3
 1978 08 9327·0
 1978 07 7530·6
 1978 06 8030.3
 1978 05 6437.2
 1978 04 8940.9
 1978 03 9939.0
 1978 02 2332.1
 1978 01 130.8
 1977 12  3336·5
 1977 11  6134·3
 1977 10  6335.1
 1977 09  8935·0
 1977 08  333·6
 1977 07  6736·7
 1977 06  3839·2
 1977 05  9744·8
 1977 04  9846.2
 1977 03  5041·3
 1977 02  1040·4
 1977 01  1837.3
 1976 12 4435.5
 1976 11 6539.6
 1976 10 6743·4
 1976 09 7341·1
 1976 08 9141·9
 1976 07 9541.9
 1976 06 2344.5
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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 45-54 years 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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