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 Series Title: Of Total Unemployed 20 years and over, 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 04 817.0
 2012 03 3616·4
 2012 02 4516·7
 2012 01 3820.9
 2011 12  4120.3
 2011 11  8417.2
 2011 10  9717.8
 2011 09  4219·4
 2011 08  5917·8
 2011 07  4918·6
 2011 06  6923.0
 2011 05  6318·5
 2011 04  1316.5
 2011 03  1314.4
 2011 02  7314·7
 2011 01  4620.5
 2010 12 7718.6
 2010 11 8217.8
 2010 10 4816.4
 2010 09 6018.7
 2010 08 5317.1
 2010 07 8919·4
 2010 06 5619.5
 2010 05 9816·9
 2010 04 6514·6
 2010 03 8914·3
 2010 02 8515·7
 2010 01 8120·4
 2009 12  6519·0
 2009 11  6417.1
 2009 10  4819·5
 2009 09  5118·4
 2009 08  2618·5
 2009 07  2221·1
 2009 06  8422.1
 2009 05  7921.2
 2009 04  5120·6
 2009 03  9421·2
 2009 02  5423·1
 2009 01  5831·6
 2008 12 6428·7
 2008 11 3530.0
 2008 10 4730.0
 2008 09 829.7
 2008 08 1532·0
 2008 07 2930·8
 2008 06 7533.8
 2008 05 7236·8
 2008 04 8027·7
 2008 03 8131·4
 2008 02 7831.2
 2008 01 2034·9
 2007 12  6035·1
 2007 11  2434·0
 2007 10  1634·0
 2007 09  4735.2
 2007 08  8033.5
 2007 07  1433.6
 2007 06  7938.5
 2007 05  7035·0
 2007 04  9031.5
 2007 03  3229·4
 2007 02  8032·1
 2007 01  3436.3
 2006 12 6537.3
 2006 11 8534.1
 2006 10 5537·8
 2006 09 937.6
 2006 08 633·5
 2006 07 538·5
 2006 06 6941.6
 2006 05 8935·5
 2006 04 3932.3
 2006 03 4831·9
 2006 02 830.7
 2006 01 9236.4
 2005 12  1333.8
 2005 11  9733·9
 2005 10  8635·4
 2005 09  6336·8
 2005 08  431.9
 2005 07  5834.2
 2005 06  4138.5
 2005 05  7134·1
 2005 04  1329·7
 2005 03  6126·4
 2005 02  3529·5
 2005 01  1033·6
 2004 12 6532.5
 2004 11 6530·8
 2004 10 5733·5
 2004 09 9934.6
 2004 08 1030·6
 2004 07 5134.5
 2004 06 1934·6
 2004 05 8232·5
 2004 04 2428·9
 2004 03 2525·6
 2004 02 6024·4
 2004 01 2932·0
 2003 12  727·5
 2003 11  1828·2
 2003 10  4130·1
 2003 09  3429·9
 2003 08  8429·9
 2003 07  8930·1
 2003 06  5233·0
 2003 05  1532·9
 2003 04  727.3
 2003 03  1726.8
 2003 02  526·8
 2003 01  1832·5
 2002 12 4929.4
 2002 11 1132·1
 2002 10 3732.1
 2002 09 1033.3
 2002 08 1233.3
 2002 07 133.7
 2002 06 1233.4
 2002 05 8732.8
 2002 04 2128.8
 2002 03 4430.4
 2002 02 1831.2
 2002 01 6737·9
 2001 12  2732.5
 2001 11  2237.1
 2001 10  6739.9
 2001 09  9439·8
 2001 08  440.8
 2001 07  4140·6
 2001 06  9846·5
 2001 05  3943·1
 2001 04  5441.3
 2001 03  3436.6
 2001 02  7340·7
 2001 01  9444.5
 2000 12 140·0
 2000 11 5642.4
 2000 10 8043.9
 2000 09 7845·4
 2000 08 9641.6
 2000 07 8944.0
 2000 06 3250.3
 2000 05 3743.8
 2000 04 1438·9
 2000 03 4139·9
 2000 02 6738·3
 2000 01 3946·1
 1999 12  5743·1
 1999 11  4242.0
 1999 10  4742.8
 1999 09  7944.3
 1999 08  4841.9
 1999 07  4943·3
 1999 06  6244.2
 1999 05  7543·2
 1999 04  3939·8
 1999 03  4534·7
 1999 02  2336.2
 1999 01  7142.3
 1998 12 540.0
 1998 11 3540.2
 1998 10 6942·4
 1998 09 3741·6
 1998 08 4638·8
 1998 07 5141·4
 1998 06 6243.9
 1998 05 6841.8
 1998 04 8838.5
 1998 03 5035.6
 1998 02 9034.7
 1998 01 8142.9
 1997 12  8136.8
 1997 11  1337·4
 1997 10  6738·1
 1997 09  2137·0
 1997 08  035·9
 1997 07  4834.4
 1997 06  2939.5
 1997 05  5836.7
 1997 04  4730·0
 1997 03  8529.8
 1997 02  4130.1
 1997 01  8541.0
 1996 12 4533.2
 1996 11 8238.3
 1996 10 8933·0
 1996 09 2236·6
 1996 08 4733.5
 1996 07 2036·6
 1996 06 8738·3
 1996 05 1236·1
 1996 04 2629.6
 1996 03 527.3
 1996 02 7330.9
 1996 01 2639.4
 1995 12  8431.9
 1995 11  7035·2
 1995 10  935·4
 1995 09  5638.6
 1995 08  4633.7
 1995 07  7135.9
 1995 06  8440.3
 1995 05  2333.8
 1995 04  6130.2
 1995 03  8929.0
 1995 02  1029.5
 1995 01  6939·6
 1994 12 732·2
 1994 11 3234.4
 1994 10 2530.2
 1994 09 6634·0
 1994 08 8331.9
 1994 07 3035.5
 1994 06 9237.2
 1994 05 631.4
 1994 04 1329.4
 1994 03 4225.6
 1994 02 025.3
 1994 01 837.7
 1993 12  5033.8
 1993 11  4733.4
 1993 10  6034·2
 1993 09  1835.1
 1993 08  6833.1
 1993 07  5335.5
 1993 06  1136.0
 1993 05  333.9
 1993 04  6831·3
 1993 03  9127.9
 1993 02  1529.7
 1993 01  5933.7
 1992 12 7429.4
 1992 11 1932.7
 1992 10 6133·7
 1992 09 434·1
 1992 08 3832.8
 1992 07 1733·5
 1992 06 6134·8
 1992 05 8233·1
 1992 04 3429·5
 1992 03 9328.8
 1992 02 5427.7
 1992 01 6335.0
 1991 12  6434.2
 1991 11  7838·0
 1991 10  237·8
 1991 09  4140.4
 1991 08  5238·6
 1991 07  2838·1
 1991 06  9339·8
 1991 05  3439.2
 1991 04  4933.7
 1991 03  2633.2
 1991 02  4035.8
 1991 01  8841.4
 1990 12 3139.6
 1990 11 7743.6
 1990 10 8143.7
 1990 09 7044·0
 1990 08 9745·6
 1990 07 1443.2
 1990 06 7947.2
 1990 05 7642.5
 1990 04 7341.7
 1990 03 9439.9
 1990 02 2140.2
 1990 01 2545·8
 1989 12  1045.5
 1989 11  9747.5
 1989 10  2147.9
 1989 09  6049·1
 1989 08  8345·9
 1989 07  3146·2
 1989 06  1749.7
 1989 05  5045·3
 1989 04  9140·9
 1989 03  2739.7
 1989 02  7042.5
 1989 01  9044·1
 1988 12 6241·0
 1988 11 4146·4
 1988 10 7047·0
 1988 09 048·5
 1988 08 4443·9
 1988 07 5642·5
 1988 06 2947.0
 1988 05 2242.7
 1988 04 1440·4
 1988 03 7935.4
 1988 02 8536.7
 1988 01 2742.2
 1987 12  7241·8
 1987 11  3942.9
 1987 10  143.9
 1987 09  845.3
 1987 08  4341·5
 1987 07  9643·0
 1987 06  6542.0
 1987 05  8540·1
 1987 04  7835.8
 1987 03  2934.4
 1987 02  8935·4
 1987 01  140.2
 1986 12 5137.3
 1986 11 4639.0
 1986 10 1241·7
 1986 09 2641.8
 1986 08 6439·9
 1986 07 7839·6
 1986 06 9640·4
 1986 05 5538·5
 1986 04 4237.2
 1986 03 8233·9
 1986 02 3034.7
 1986 01 540.9
 1985 12  3536·1
 1985 11  3940·7
 1985 10  2640·8
 1985 09  2142.9
 1985 08  1940·1
 1985 07  5740·5
 1985 06  2242·3
 1985 05  7338.6
 1985 04  9335·7
 1985 03  6733·9
 1985 02  8134.2
 1985 01  5441.6
 1984 12 8435·9
 1984 11 2539·6
 1984 10 9141·0
 1984 09 8540·6
 1984 08 4140.4
 1984 07 1339.6
 1984 06 6539·6
 1984 05 734.7
 1984 04 4132.5
 1984 03 3830·2
 1984 02 4131·0
 1984 01 9234.9
 1983 12  8333.0
 1983 11  3134·2
 1983 10  8134.7
 1983 09  3337·6
 1983 08  9332.4
 1983 07  4931.9
 1983 06  7332·4
 1983 05  4928·1
 1983 04  2125.0
 1983 03  7424.2
 1983 02  3126.8
 1983 01  8530·8
 1982 12 4329.1
 1982 11 1232·1
 1982 10 9333.2
 1982 09 936·8
 1982 08 5934.5
 1982 07 9635·8
 1982 06 2035.7
 1982 05 1533·8
 1982 04 9531.9
 1982 03 8031.3
 1982 02 132.3
 1982 01 2441.4
 1981 12  038.1
 1981 11  4841.4
 1981 10  5042.2
 1981 09  7844·0
 1981 08  5139.6
 1981 07  640.3
 1981 06  343·0
 1981 05  4738·4
 1981 04  4733.8
 1981 03  8633·6
 1981 02  2332.8
 1981 01  2639.4
 1980 12 1535·0
 1980 11 4337.5
 1980 10 039·8
 1980 09 3339.8
 1980 08 338·4
 1980 07 6139.8
 1980 06 4543.8
 1980 05 1243·4
 1980 04 8939·7
 1980 03 4538.5
 1980 02 9639.0
 1980 01 3447.8
 1979 12  7241·2
 1979 11  2647·3
 1979 10  1747·5
 1979 09  9048·5
 1979 08  7748·7
 1979 07  6345·8
 1979 06  9451·5
 1979 05  243·5
 1979 04  5541.6
 1979 03  3637·1
 1979 02  4239·3
 1979 01  1344·9
 1978 12 8242.7
 1978 11 5246·4
 1978 10 9846·1
 1978 09 9249·4
 1978 08 5744·6
 1978 07 4347.3
 1978 06 2447.2
 1978 05 3343·8
 1978 04 737.6
 1978 03 6535·9
 1978 02 1035.6
 1978 01 5641·4
 1977 12  8137·8
 1977 11  9940·2
 1977 10  6641·6
 1977 09  543·4
 1977 08  5538·8
 1977 07  5440·1
 1977 06  3344.9
 1977 05  4836·1
 1977 04  3035.4
 1977 03  5932.1
 1977 02  7233.1
 1977 01  8037·7
 1976 12 3033.3
 1976 11 7335.7
 1976 10 7138.1
 1976 09 2042·2
 1976 08 635·5
 1976 07 7637.2
 1976 06 4338.0
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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 20 years and over, 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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