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 Series Title: Of Total Unemployed 55-64 years 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 04 310·5
 2012 03 3813·3
 2012 02 7413.0
 2012 01 4415.0
 2011 12  616.7
 2011 11  2112·5
 2011 10  5014.7
 2011 09  8613·4
 2011 08  115.6
 2011 07  2718·6
 2011 06  5217.1
 2011 05  5111.9
 2011 04  3812.6
 2011 03  3810·3
 2011 02  9211·8
 2011 01  8517·4
 2010 12 9214.5
 2010 11 6113·7
 2010 10 1012.0
 2010 09 5512.1
 2010 08 6414·5
 2010 07 2715.6
 2010 06 6716·8
 2010 05 5710.8
 2010 04 788.3
 2010 03 949.6
 2010 02 5114.4
 2010 01 816·5
 2009 12  8517·3
 2009 11  4215.9
 2009 10  7616.1
 2009 09  5413.7
 2009 08  6215.1
 2009 07  7819·3
 2009 06  7916.7
 2009 05  6420.2
 2009 04  721.3
 2009 03  3418·0
 2009 02  2323·3
 2009 01  3127·9
 2008 12 4723·3
 2008 11 6721.8
 2008 10 9626·1
 2008 09 7527·5
 2008 08 3225.6
 2008 07 5832·3
 2008 06 1130·5
 2008 05 4033·5
 2008 04 3722.3
 2008 03 1424.4
 2008 02 624.4
 2008 01 9533·6
 2007 12  6233.8
 2007 11  6727·9
 2007 10  4427.9
 2007 09  3425·7
 2007 08  3423.2
 2007 07  7235·4
 2007 06  1235·4
 2007 05  7630·9
 2007 04  228·8
 2007 03  1323·9
 2007 02  2424·2
 2007 01  6731.0
 2006 12 4237·3
 2006 11 9433·4
 2006 10 1730.3
 2006 09 7332·4
 2006 08 5424·3
 2006 07 4933.6
 2006 06 5434·1
 2006 05 9134.8
 2006 04 6331.3
 2006 03 3428.1
 2006 02 2326.0
 2006 01 3834·3
 2005 12  2128.1
 2005 11  3036·1
 2005 10  3826.6
 2005 09  5929.6
 2005 08  221·4
 2005 07  4436.8
 2005 06  3629·5
 2005 05  2426.1
 2005 04  724·1
 2005 03  822·9
 2005 02  7920.8
 2005 01  2634·3
 2004 12 6123.7
 2004 11 7823.7
 2004 10 5631·0
 2004 09 8429.3
 2004 08 1424.3
 2004 07 3626·9
 2004 06 8026·3
 2004 05 4328.3
 2004 04 4227·1
 2004 03 8821.4
 2004 02 8821·6
 2004 01 7225·6
 2003 12  4623·5
 2003 11  6724·6
 2003 10  4326·2
 2003 09  6521.6
 2003 08  5019.4
 2003 07  2824.1
 2003 06  3429.9
 2003 05  4027.6
 2003 04  624.8
 2003 03  5422·7
 2003 02  7319·1
 2003 01  4327·6
 2002 12 8824·5
 2002 11 5120·9
 2002 10 9827.6
 2002 09 4226·1
 2002 08 9730.3
 2002 07 5128.5
 2002 06 7222·3
 2002 05 3224·0
 2002 04 5821.4
 2002 03 1023·4
 2002 02 8328.3
 2002 01 3131.9
 2001 12  2228·4
 2001 11  1130·2
 2001 10  4431.9
 2001 09  8425·2
 2001 08  6430·7
 2001 07  5932·4
 2001 06  9235.7
 2001 05  6038.0
 2001 04  8441·8
 2001 03  8631.5
 2001 02  9131·1
 2001 01  5344.5
 2000 12 825.9
 2000 11 4932.5
 2000 10 2840.0
 2000 09 8239.5
 2000 08 8740·3
 2000 07 3035.9
 2000 06 1644.3
 2000 05 9236.8
 2000 04 9535·8
 2000 03 3525.5
 2000 02 9430.9
 2000 01 5038.0
 1999 12  3334.6
 1999 11  9633·1
 1999 10  2430.0
 1999 09  5337·1
 1999 08  2631·7
 1999 07  7040·4
 1999 06  9437·4
 1999 05  1835·3
 1999 04  2536.2
 1999 03  3829·7
 1999 02  1634.9
 1999 01  9041.7
 1998 12 633·3
 1998 11 639.4
 1998 10 3033·8
 1998 09 3834.0
 1998 08 6831.6
 1998 07 742.8
 1998 06 9633.1
 1998 05 5629.2
 1998 04 3730.8
 1998 03 9732.0
 1998 02 530·0
 1998 01 6337·9
 1997 12  6333.5
 1997 11  5835·7
 1997 10  6838·4
 1997 09  428.1
 1997 08  2229·8
 1997 07  9631·8
 1997 06  2331.5
 1997 05  4833·6
 1997 04  1423.7
 1997 03  4329.4
 1997 02  3425·5
 1997 01  8834·9
 1996 12 6528·5
 1996 11 5640.7
 1996 10 8721·5
 1996 09 4426·6
 1996 08 2529·8
 1996 07 1629.3
 1996 06 9726·1
 1996 05 6026.0
 1996 04 6923·8
 1996 03 3119·0
 1996 02 021·8
 1996 01 530·4
 1995 12  9729.0
 1995 11  3040.3
 1995 10  6027·4
 1995 09  7324.9
 1995 08  3627.1
 1995 07  7230.8
 1995 06  6538·9
 1995 05  8431.2
 1995 04  3523·0
 1995 03  3823.0
 1995 02  2823.5
 1995 01  8238·6
 1994 12 7029·4
 1994 11 3431.3
 1994 10 8626.1
 1994 09 3525.1
 1994 08 4225.7
 1994 07 9335·9
 1994 06 230.9
 1994 05 3824.5
 1994 04 7526.0
 1994 03 7018.9
 1994 02 6419·4
 1994 01 933·6
 1993 12  2022.2
 1993 11  4722·5
 1993 10  8626·6
 1993 09  9423.4
 1993 08  5223.0
 1993 07  3228.2
 1993 06  423·6
 1993 05  6221·6
 1993 04  7220.4
 1993 03  5521.8
 1993 02  8321.5
 1993 01  532.5
 1992 12 621.3
 1992 11 7422.6
 1992 10 925·0
 1992 09 4420·8
 1992 08 320·6
 1992 07 7025.2
 1992 06 9624·0
 1992 05 2321.1
 1992 04 3920.3
 1992 03 4917.2
 1992 02 8122·7
 1992 01 1128·5
 1991 12  1529·6
 1991 11  4430.6
 1991 10  2825·1
 1991 09  228.4
 1991 08  5533·6
 1991 07  1030.0
 1991 06  2427·3
 1991 05  1425·7
 1991 04  1023.1
 1991 03  3030.0
 1991 02  8327.7
 1991 01  9332·5
 1990 12 5631.6
 1990 11 1033·3
 1990 10 4137.0
 1990 09 831.8
 1990 08 9341.4
 1990 07 8234·9
 1990 06 6331·5
 1990 05 5233.3
 1990 04 4630·7
 1990 03 332·5
 1990 02 3535·1
 1990 01 4441·9
 1989 12  6642.2
 1989 11  5344.6
 1989 10  7243·1
 1989 09  2933·3
 1989 08  2933.5
 1989 07  4134·9
 1989 06  1036·2
 1989 05  7731·6
 1989 04  3336.8
 1989 03  9731.6
 1989 02  1236.5
 1989 01  8029.5
 1988 12 639.7
 1988 11 7730.2
 1988 10 6737·3
 1988 09 5942.0
 1988 08 9737·2
 1988 07 6525.9
 1988 06 8840·6
 1988 05 5737.5
 1988 04 8129·5
 1988 03 6626.2
 1988 02 1228·2
 1988 01 4334·3
 1987 12  6035·6
 1987 11  1134·0
 1987 10  138·0
 1987 09  1229·2
 1987 08  5830.4
 1987 07  5929.0
 1987 06  4534.7
 1987 05  8329·4
 1987 04  2626.2
 1987 03  8929.0
 1987 02  5628.5
 1987 01  036·5
 1986 12 3934.1
 1986 11 1028·9
 1986 10 7235·2
 1986 09 3233.5
 1986 08 9832·3
 1986 07 5233.0
 1986 06 5530·4
 1986 05 7326·2
 1986 04 2729·9
 1986 03 7224·8
 1986 02 9425·8
 1986 01 4338·1
 1985 12  7934.0
 1985 11  5239.7
 1985 10  134·3
 1985 09  8532·7
 1985 08  2730.5
 1985 07  9833·2
 1985 06  1532·6
 1985 05  6830.9
 1985 04  7232.4
 1985 03  4231·8
 1985 02  9833·8
 1985 01  8838·1
 1984 12 4028.3
 1984 11 4131·4
 1984 10 3829.7
 1984 09 6228·8
 1984 08 8134.3
 1984 07 7732·6
 1984 06 4932·9
 1984 05 3525·4
 1984 04 7023.2
 1984 03 5528.2
 1984 02 6727·3
 1984 01 7726·0
 1983 12  833·1
 1983 11  830·1
 1983 10  5630.6
 1983 09  8134.6
 1983 08  2029·4
 1983 07  9328·4
 1983 06  424·0
 1983 05  6618.8
 1983 04  5620.8
 1983 03  9018.9
 1983 02  2325.0
 1983 01  7727·9
 1982 12 9328.7
 1982 11 730·4
 1982 10 5229·8
 1982 09 8331·6
 1982 08 3031·3
 1982 07 7530.1
 1982 06 5326·9
 1982 05 7732·6
 1982 04 9229.7
 1982 03 5128.1
 1982 02 1531.2
 1982 01 8039·0
 1981 12  3135·8
 1981 11  1637.3
 1981 10  4935.3
 1981 09  3535.3
 1981 08  2137.1
 1981 07  7838·1
 1981 06  9535.0
 1981 05  1132·7
 1981 04  6326·8
 1981 03  6731·0
 1981 02  1529.7
 1981 01  227.0
 1980 12 8334·2
 1980 11 4136.4
 1980 10 9634.7
 1980 09 2932·4
 1980 08 3034.7
 1980 07 8143·5
 1980 06 5335·4
 1980 05 3442.0
 1980 04 8033·3
 1980 03 9327·0
 1980 02 2228·0
 1980 01 8640.8
 1979 12  3337.5
 1979 11  1049.3
 1979 10  6647.6
 1979 09  8140·7
 1979 08  1641·0
 1979 07  8841·9
 1979 06  7442·8
 1979 05  3735.2
 1979 04  7725.8
 1979 03  827·6
 1979 02  5831.0
 1979 01  9934·2
 1978 12 9441·1
 1978 11 7843·1
 1978 10 5739·9
 1978 09 3439.5
 1978 08 6535·5
 1978 07 2834.2
 1978 06 3236.5
 1978 05 3932·6
 1978 04 1735·0
 1978 03 1630·7
 1978 02 7234.0
 1978 01 3135·2
 1977 12  9933.3
 1977 11  2334.4
 1977 10  9133.2
 1977 09  5532.8
 1977 08  8835·5
 1977 07  5635.2
 1977 06  2531.4
 1977 05  8026·8
 1977 04  8324.6
 1977 03  4722.5
 1977 02  3732.7
 1977 01  031·4
 1976 12 1030.2
 1976 11 5131·4
 1976 10 1729.0
 1976 09 3433·9
 1976 08 1930.7
 1976 07 5234·0
 1976 06 7530·0
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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 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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