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 Series Title: Of Total Unemployed 20 years and over, Men, 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 5217·2
 2012 03 6416.0
 2012 02 817.3
 2012 01 8520.8
 2011 12  2221·2
 2011 11  5017.6
 2011 10  9719.1
 2011 09  2619.0
 2011 08  7818·7
 2011 07  5218·1
 2011 06  621.7
 2011 05  8518·3
 2011 04  6915·9
 2011 03  5314.5
 2011 02  4814·7
 2011 01  520.2
 2010 12 7120.3
 2010 11 6018·3
 2010 10 6016.2
 2010 09 5619·2
 2010 08 8416·7
 2010 07 418.8
 2010 06 619.1
 2010 05 3215.5
 2010 04 3413.8
 2010 03 4213·4
 2010 02 7215.1
 2010 01 5220.3
 2009 12  7119·5
 2009 11  5517·9
 2009 10  7319.2
 2009 09  6019.0
 2009 08  7018.1
 2009 07  5019.7
 2009 06  4620·4
 2009 05  2620.6
 2009 04  3220·2
 2009 03  5921·0
 2009 02  5423·0
 2009 01  4231·5
 2008 12 8231.1
 2008 11 3831.0
 2008 10 8431.4
 2008 09 3031.0
 2008 08 7132·4
 2008 07 6931·3
 2008 06 5032.8
 2008 05 3137.5
 2008 04 7426·9
 2008 03 5931·1
 2008 02 9029.7
 2008 01 1736.0
 2007 12  9136·6
 2007 11  3932.9
 2007 10  6636·1
 2007 09  8134·6
 2007 08  4831.9
 2007 07  6633·1
 2007 06  6734.9
 2007 05  4234.2
 2007 04  9630·0
 2007 03  2226.1
 2007 02  531.2
 2007 01  4437·0
 2006 12 841·3
 2006 11 1334.9
 2006 10 1739.4
 2006 09 5638·6
 2006 08 8734·3
 2006 07 7037.1
 2006 06 6838·9
 2006 05 7334·8
 2006 04 5730·5
 2006 03 5130·2
 2006 02 4529.1
 2006 01 1437.1
 2005 12  6935.6
 2005 11  3833.6
 2005 10  6136.7
 2005 09  2237.3
 2005 08  9833.1
 2005 07  3633·0
 2005 06  5335·9
 2005 05  6732·3
 2005 04  4429·7
 2005 03  7724.5
 2005 02  8529·4
 2005 01  4433·8
 2004 12 3435·1
 2004 11 1832.1
 2004 10 4434·0
 2004 09 7034.5
 2004 08 1633.1
 2004 07 4134·9
 2004 06 4434.3
 2004 05 9131·5
 2004 04 6828.0
 2004 03 5223·9
 2004 02 2222.1
 2004 01 7633·1
 2003 12  8828·9
 2003 11  8427·8
 2003 10  4130.7
 2003 09  1829·4
 2003 08  329.2
 2003 07  9229·6
 2003 06  8931.4
 2003 05  3729.7
 2003 04  6325.6
 2003 03  5826.0
 2003 02  7925·0
 2003 01  7731.9
 2002 12 4329.4
 2002 11 8934·0
 2002 10 4932.2
 2002 09 731.7
 2002 08 4334.3
 2002 07 1633·6
 2002 06 6231.5
 2002 05 2133·1
 2002 04 9027·2
 2002 03 9729·6
 2002 02 529·6
 2002 01 3936.8
 2001 12  3331.7
 2001 11  1236.1
 2001 10  9240·8
 2001 09  440·7
 2001 08  4840·8
 2001 07  6937·7
 2001 06  6043.0
 2001 05  8541·5
 2001 04  3539·6
 2001 03  9937·0
 2001 02  7239.7
 2001 01  7844.9
 2000 12 1940·4
 2000 11 5942.0
 2000 10 1745.5
 2000 09 048.1
 2000 08 5243·2
 2000 07 3043.1
 2000 06 647.4
 2000 05 9641·9
 2000 04 837·7
 2000 03 1937·2
 2000 02 7935·0
 2000 01 3645.7
 1999 12  8843·7
 1999 11  5740·9
 1999 10  9741·5
 1999 09  1342.6
 1999 08  1642·4
 1999 07  242.5
 1999 06  4938·3
 1999 05  4642·7
 1999 04  4538.1
 1999 03  3533.4
 1999 02  4836·8
 1999 01  8040·7
 1998 12 4843·0
 1998 11 6339.5
 1998 10 3141.6
 1998 09 8442.6
 1998 08 2735.9
 1998 07 1641·3
 1998 06 6242.0
 1998 05 5240.8
 1998 04 635·8
 1998 03 5333.4
 1998 02 2731·5
 1998 01 240.5
 1997 12  3736.1
 1997 11  5436·7
 1997 10  4136·3
 1997 09  8036.1
 1997 08  9434·6
 1997 07  2634·3
 1997 06  4240.5
 1997 05  5436·6
 1997 04  7829·4
 1997 03  126·2
 1997 02  9128.8
 1997 01  1940·5
 1996 12 1433·9
 1996 11 3538·8
 1996 10 7632·3
 1996 09 9335·8
 1996 08 5332·6
 1996 07 1033.7
 1996 06 1232·5
 1996 05 2132.7
 1996 04 7028·4
 1996 03 3326.6
 1996 02 3530·3
 1996 01 7238.0
 1995 12  6533·8
 1995 11  3636·8
 1995 10  932.6
 1995 09  4037.1
 1995 08  6429·8
 1995 07  7434.8
 1995 06  2136.2
 1995 05  4433.0
 1995 04  1827.5
 1995 03  3026·3
 1995 02  8527.3
 1995 01  2938·5
 1994 12 132·7
 1994 11 1034·7
 1994 10 3728·5
 1994 09 6231.5
 1994 08 1430·4
 1994 07 4633.2
 1994 06 4234.7
 1994 05 4027·6
 1994 04 8228.3
 1994 03 9423·2
 1994 02 8723.5
 1994 01 8035·9
 1993 12  5632·3
 1993 11  3730.9
 1993 10  8531.9
 1993 09  2732·3
 1993 08  1230·5
 1993 07  8132·5
 1993 06  7332·8
 1993 05  5030·1
 1993 04  4927.3
 1993 03  5724.1
 1993 02  1525·8
 1993 01  4330·4
 1992 12 9326·4
 1992 11 2229.9
 1992 10 9832.0
 1992 09 2630·2
 1992 08 9428·4
 1992 07 5829.6
 1992 06 3630·6
 1992 05 4129·6
 1992 04 2826·5
 1992 03 7125.3
 1992 02 6724.8
 1992 01 6032·8
 1991 12  9532·7
 1991 11  9336.7
 1991 10  5235.0
 1991 09  7535·2
 1991 08  2135.6
 1991 07  8134.6
 1991 06  8134.4
 1991 05  634·2
 1991 04  5529·6
 1991 03  1629·6
 1991 02  6530.9
 1991 01  9737·7
 1990 12 7437·4
 1990 11 542.1
 1990 10 4440·8
 1990 09 1739·6
 1990 08 7840.1
 1990 07 8039.0
 1990 06 7943.6
 1990 05 6137.6
 1990 04 9237·6
 1990 03 9735.1
 1990 02 5934.3
 1990 01 4641·0
 1989 12  6644.2
 1989 11  3743.0
 1989 10  9642.9
 1989 09  1942.9
 1989 08  7640·6
 1989 07  942·0
 1989 06  2945.4
 1989 05  4739·5
 1989 04  2236·6
 1989 03  4234.6
 1989 02  2037.5
 1989 01  2541.1
 1988 12 3038·8
 1988 11 9442.7
 1988 10 5742.6
 1988 09 7240.3
 1988 08 5038·8
 1988 07 4735.6
 1988 06 5440·6
 1988 05 3138·2
 1988 04 5835.0
 1988 03 731.7
 1988 02 4732·0
 1988 01 7435.9
 1987 12  5340.5
 1987 11  539.6
 1987 10  140·6
 1987 09  9239.2
 1987 08  6236·1
 1987 07  9937·7
 1987 06  236.5
 1987 05  734.4
 1987 04  3430.6
 1987 03  6929·3
 1987 02  6431·9
 1987 01  6035·9
 1986 12 4536.0
 1986 11 2435·8
 1986 10 2438·5
 1986 09 2337.0
 1986 08 9535.1
 1986 07 9336.0
 1986 06 4634.1
 1986 05 8934.7
 1986 04 1132.4
 1986 03 3528.9
 1986 02 1729·7
 1986 01 7636·2
 1985 12  4133.3
 1985 11  3037.2
 1985 10  5135.9
 1985 09  3036.9
 1985 08  6234.0
 1985 07  8535·4
 1985 06  8537.1
 1985 05  2034·1
 1985 04  7430·5
 1985 03  3227·3
 1985 02  8129.7
 1985 01  3937.4
 1984 12 235.5
 1984 11 2736·9
 1984 10 2936.6
 1984 09 635·5
 1984 08 9735·4
 1984 07 5335·8
 1984 06 4036.2
 1984 05 6729.2
 1984 04 3427.3
 1984 03 1525.7
 1984 02 5326·8
 1984 01 8931·0
 1983 12  1428·5
 1983 11  4628·7
 1983 10  3129.8
 1983 09  6731.4
 1983 08  6226·8
 1983 07  227·1
 1983 06  6126.4
 1983 05  2122.3
 1983 04  2720·8
 1983 03  6419·3
 1983 02  5622.3
 1983 01  9426·5
 1982 12 8726·0
 1982 11 4029·4
 1982 10 5529·5
 1982 09 5531.8
 1982 08 4130·3
 1982 07 6132·4
 1982 06 2032·5
 1982 05 9929·5
 1982 04 1426·8
 1982 03 8326.8
 1982 02 3928·6
 1982 01 4537.1
 1981 12  5636.7
 1981 11  8938.1
 1981 10  2438.6
 1981 09  3738.7
 1981 08  4535.9
 1981 07  8436.2
 1981 06  1540·0
 1981 05  4434·9
 1981 04  7829.4
 1981 03  128.3
 1981 02  7329.4
 1981 01  6033·7
 1980 12 8332.3
 1980 11 9634·4
 1980 10 8733.3
 1980 09 533.1
 1980 08 932.6
 1980 07 5136·3
 1980 06 7039·3
 1980 05 2240.2
 1980 04 3335.0
 1980 03 7232.8
 1980 02 5833.6
 1980 01 8044.3
 1979 12  5340.1
 1979 11  9244·9
 1979 10  1644.1
 1979 09  7542·8
 1979 08  9644·4
 1979 07  6642·4
 1979 06  3247·2
 1979 05  2438·5
 1979 04  1137.5
 1979 03  7631.3
 1979 02  1732·7
 1979 01  7241.8
 1978 12 7640.7
 1978 11 3042.6
 1978 10 1043·8
 1978 09 8941.9
 1978 08 8841·2
 1978 07 5842·1
 1978 06 7442·2
 1978 05 6838.0
 1978 04 7632.7
 1978 03 1730.5
 1978 02 9730.2
 1978 01 2837.5
 1977 12  8735.7
 1977 11  9035.7
 1977 10  9137.3
 1977 09  1437.9
 1977 08  9936.1
 1977 07  8237.8
 1977 06  9541.6
 1977 05  9532·0
 1977 04  1130·5
 1977 03  2527.5
 1977 02  7129.0
 1977 01  6433·7
 1976 12 4832·0
 1976 11 7634.2
 1976 10 833·9
 1976 09 4234.7
 1976 08 6230·8
 1976 07 1632·8
 1976 06 1834.4
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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, Men, 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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