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 Series Title: Of Total Unemployed 20-24 years, 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 8323.5
 2012 03 1517·7
 2012 02 4617.7
 2012 01 4923·4
 2011 12  1720.7
 2011 11  5018·8
 2011 10  4622·4
 2011 09  3623.2
 2011 08  3025·9
 2011 07  9622·7
 2011 06  6028·2
 2011 05  3524·9
 2011 04  7217·2
 2011 03  3417.4
 2011 02  9918.0
 2011 01  9022·6
 2010 12 1924.1
 2010 11 7120.1
 2010 10 317·5
 2010 09 6824·5
 2010 08 7119·8
 2010 07 4020.9
 2010 06 3425·8
 2010 05 6620.3
 2010 04 5320.1
 2010 03 9616.8
 2010 02 8019.6
 2010 01 126·5
 2009 12  1620.7
 2009 11  2118·7
 2009 10  5423·8
 2009 09  1820.7
 2009 08  3521·5
 2009 07  2220·5
 2009 06  9327·0
 2009 05  8627.8
 2009 04  1020·5
 2009 03  3023·6
 2009 02  6223.3
 2009 01  9933.6
 2008 12 6831·3
 2008 11 336.3
 2008 10 4635.5
 2008 09 7636.3
 2008 08 5841.6
 2008 07 2132.9
 2008 06 6043·0
 2008 05 6245.2
 2008 04 5632·0
 2008 03 9233·3
 2008 02 4233·6
 2008 01 2537·7
 2007 12  6237·7
 2007 11  4635·7
 2007 10  5336.4
 2007 09  6043·3
 2007 08  134·9
 2007 07  4237·8
 2007 06  8343.2
 2007 05  8644.2
 2007 04  2430·5
 2007 03  5930·4
 2007 02  4432·9
 2007 01  4740·7
 2006 12 744·4
 2006 11 635·5
 2006 10 7342·7
 2006 09 1248.0
 2006 08 4938·3
 2006 07 1342·6
 2006 06 3548·2
 2006 05 7543.9
 2006 04 7730·8
 2006 03 3732·9
 2006 02 1635·1
 2006 01 5638·5
 2005 12  3940·6
 2005 11  6037·5
 2005 10  2940.5
 2005 09  9839·6
 2005 08  1337·6
 2005 07  8937.4
 2005 06  1345·6
 2005 05  7135.8
 2005 04  9836.3
 2005 03  5528·5
 2005 02  3133·3
 2005 01  6938·3
 2004 12 2040.0
 2004 11 1535.6
 2004 10 6937.4
 2004 09 1148.6
 2004 08 2937.1
 2004 07 5036·8
 2004 06 4246.7
 2004 05 4142.3
 2004 04 038·1
 2004 03 6729.6
 2004 02 8726·4
 2004 01 2839·9
 2003 12  3434·4
 2003 11  9734·8
 2003 10  6629.9
 2003 09  6738·4
 2003 08  5632.2
 2003 07  9933·3
 2003 06  6940·5
 2003 05  7642·3
 2003 04  1732·8
 2003 03  5230·6
 2003 02  731·0
 2003 01  039·5
 2002 12 9136.0
 2002 11 6339·6
 2002 10 1832.9
 2002 09 743.0
 2002 08 8142.1
 2002 07 6540·0
 2002 06 6638.5
 2002 05 9350.5
 2002 04 932.1
 2002 03 1434·4
 2002 02 3936·3
 2002 01 7545.2
 2001 12  2938.3
 2001 11  9239·4
 2001 10  4849·7
 2001 09  9945.9
 2001 08  1348.1
 2001 07  443.2
 2001 06  3356.4
 2001 05  3446·6
 2001 04  6440·1
 2001 03  8446·3
 2001 02  5650·3
 2001 01  7247.5
 2000 12 640.3
 2000 11 8741.9
 2000 10 556.0
 2000 09 3549.2
 2000 08 8941.0
 2000 07 9545.6
 2000 06 9257.5
 2000 05 6549.9
 2000 04 9049.5
 2000 03 1546.0
 2000 02 5643.0
 2000 01 3249.8
 1999 12  953·3
 1999 11  7845.5
 1999 10  6046·8
 1999 09  3152·8
 1999 08  7052.6
 1999 07  4154.1
 1999 06  9152.5
 1999 05  7951.3
 1999 04  2441.8
 1999 03  8639.4
 1999 02  6343·7
 1999 01  2250.2
 1998 12 4755·4
 1998 11 1941·3
 1998 10 1343·8
 1998 09 2845·7
 1998 08 4040.2
 1998 07 7245·2
 1998 06 451·6
 1998 05 9250.6
 1998 04 2636·6
 1998 03 237.8
 1998 02 2435·1
 1998 01 3340·2
 1997 12  5836·5
 1997 11  9036·5
 1997 10  8643.3
 1997 09  9542.0
 1997 08  1034·9
 1997 07  4335·6
 1997 06  2850.4
 1997 05  4749.8
 1997 04  8234·7
 1997 03  9231·3
 1997 02  1233.4
 1997 01  8347·2
 1996 12 134·8
 1996 11 9540.0
 1996 10 2735.8
 1996 09 2256·0
 1996 08 1640·9
 1996 07 3249.2
 1996 06 8641.9
 1996 05 944.0
 1996 04 235·0
 1996 03 1134·1
 1996 02 2634.6
 1996 01 1345·5
 1995 12  6134·8
 1995 11  6240·3
 1995 10  1038·8
 1995 09  2744·4
 1995 08  1833.4
 1995 07  4440.5
 1995 06  2645·6
 1995 05  7139.5
 1995 04  2230·6
 1995 03  3737·8
 1995 02  8831·2
 1995 01  9048.5
 1994 12 5040.1
 1994 11 4843·4
 1994 10 3228.2
 1994 09 5148·8
 1994 08 234.4
 1994 07 839.7
 1994 06 2245·8
 1994 05 5037·2
 1994 04 340.0
 1994 03 7531·2
 1994 02 4627·4
 1994 01 545.9
 1993 12  342·5
 1993 11  3044.3
 1993 10  1743·7
 1993 09  6144·4
 1993 08  7844·1
 1993 07  7944·6
 1993 06  7251.0
 1993 05  8748·5
 1993 04  2941.2
 1993 03  5530·9
 1993 02  7436·4
 1993 01  7641.1
 1992 12 8034·6
 1992 11 1339·1
 1992 10 1241·6
 1992 09 4945·9
 1992 08 8237.6
 1992 07 3640·6
 1992 06 9845.1
 1992 05 4847·0
 1992 04 1135·0
 1992 03 3030·4
 1992 02 7029·8
 1992 01 4440·7
 1991 12  6740.3
 1991 11  2745.3
 1991 10  9144·4
 1991 09  3145.3
 1991 08  7545.1
 1991 07  8344·4
 1991 06  4948.9
 1991 05  2749.3
 1991 04  8637.5
 1991 03  8034·6
 1991 02  5633.9
 1991 01  7747·0
 1990 12 7443.6
 1990 11 2550·9
 1990 10 5147·0
 1990 09 5055·1
 1990 08 4250.1
 1990 07 4947.2
 1990 06 9758.9
 1990 05 4053·4
 1990 04 1345.7
 1990 03 947·3
 1990 02 8142.5
 1990 01 6649·8
 1989 12  3850·8
 1989 11  8747·6
 1989 10  1645.8
 1989 09  7253·9
 1989 08  9346.5
 1989 07  8951.8
 1989 06  4163.4
 1989 05  2754.4
 1989 04  7845·0
 1989 03  4745.6
 1989 02  1747.3
 1989 01  2751·0
 1988 12 1854.4
 1988 11 1751·8
 1988 10 3454·3
 1988 09 8955.5
 1988 08 6450·4
 1988 07 8244·1
 1988 06 350·0
 1988 05 5850·7
 1988 04 9149.1
 1988 03 4741·6
 1988 02 6438.5
 1988 01 245·3
 1987 12  046.7
 1987 11  4550·0
 1987 10  7754.2
 1987 09  1754.3
 1987 08  1643.0
 1987 07  3245.5
 1987 06  3346·5
 1987 05  2245·3
 1987 04  8936.2
 1987 03  9035.1
 1987 02  4339·9
 1987 01  6040.0
 1986 12 9545.6
 1986 11 2542.8
 1986 10 4544·8
 1986 09 046.7
 1986 08 3446·2
 1986 07 6945.6
 1986 06 244.9
 1986 05 3745·3
 1986 04 3240.2
 1986 03 7931·0
 1986 02 336.8
 1986 01 9043.4
 1985 12  3836·7
 1985 11  3641·8
 1985 10  5941.8
 1985 09  344·5
 1985 08  2937·1
 1985 07  4743.4
 1985 06  944·0
 1985 05  4544·1
 1985 04  535.3
 1985 03  4332·3
 1985 02  1637·3
 1985 01  1043.5
 1984 12 9040·0
 1984 11 8242.9
 1984 10 6843·1
 1984 09 1838·7
 1984 08 3638.3
 1984 07 4538·6
 1984 06 7747·4
 1984 05 1237·9
 1984 04 1834.8
 1984 03 3828·8
 1984 02 8230·7
 1984 01 6237·9
 1983 12  3734.0
 1983 11  9335·7
 1983 10  4537·1
 1983 09  6241.9
 1983 08  1630.2
 1983 07  6731.1
 1983 06  5436.3
 1983 05  3029·4
 1983 04  822.9
 1983 03  4220.8
 1983 02  2325·8
 1983 01  1232·2
 1982 12 8828·3
 1982 11 2332·3
 1982 10 8830·2
 1982 09 7635·1
 1982 08 5533·0
 1982 07 4336.9
 1982 06 1439·5
 1982 05 1733.4
 1982 04 3527·7
 1982 03 5926·7
 1982 02 8729·5
 1982 01 5338.5
 1981 12  7937.1
 1981 11  5136.6
 1981 10  2039·5
 1981 09  2942.3
 1981 08  6238.7
 1981 07  2838·5
 1981 06  5343.6
 1981 05  1341.2
 1981 04  8531·9
 1981 03  1931·2
 1981 02  4631·3
 1981 01  137·6
 1980 12 7234·7
 1980 11 8233.0
 1980 10 9039.1
 1980 09 1038·3
 1980 08 7436·0
 1980 07 9937·2
 1980 06 9546.7
 1980 05 8643.4
 1980 04 6733·6
 1980 03 7636.3
 1980 02 035·8
 1980 01 9747·1
 1979 12  5143·4
 1979 11  4548·6
 1979 10  6947.0
 1979 09  3850.7
 1979 08  5150·9
 1979 07  6348.7
 1979 06  8858.3
 1979 05  2746.3
 1979 04  1847.9
 1979 03  1037·5
 1979 02  7140.3
 1979 01  1046.3
 1978 12 2744.6
 1978 11 9448·3
 1978 10 5647·5
 1978 09 5452.4
 1978 08 7845·1
 1978 07 4746·7
 1978 06 654.5
 1978 05 5444·1
 1978 04 9834·7
 1978 03 2531·2
 1978 02 834·3
 1978 01 3042.8
 1977 12  3536·5
 1977 11  940.5
 1977 10  7539.9
 1977 09  2446.8
 1977 08  6741.1
 1977 07  739·2
 1977 06  4653.7
 1977 05  840.2
 1977 04  9233·9
 1977 03  4929·9
 1977 02  8234.0
 1977 01  7437.7
 1976 12 3734·9
 1976 11 9439.1
 1976 10 7339.4
 1976 09 4242·6
 1976 08 5234·7
 1976 07 2136·1
 1976 06 3144.5
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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 20-24 years, Men, 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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