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 Series Title: Percent of Total New Entrants 20 years and over, Men 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 2879·1
 2012 03 972·9
 2012 02 8177·9
 2012 01 2382·9
 2011 12  3787·9
 2011 11  2670·7
 2011 10  9769·7
 2011 09  8563.1
 2011 08  662.6
 2011 07  3652.0
 2011 06  769·1
 2011 05  3967·4
 2011 04  8670.8
 2011 03  2067·4
 2011 02  2576.1
 2011 01  2973·5
 2010 12 5269.9
 2010 11 8478.1
 2010 10 8871.2
 2010 09 2559·4
 2010 08 367·9
 2010 07 6168.8
 2010 06 6065.5
 2010 05 2166·3
 2010 04 6773·6
 2010 03 669.2
 2010 02 2867.3
 2010 01 3669.6
 2009 12  9271.6
 2009 11  169.5
 2009 10  559.5
 2009 09  1460.0
 2009 08  5553.9
 2009 07  5449.8
 2009 06  2938.6
 2009 05  2468.5
 2009 04  5672·1
 2009 03  9570·9
 2009 02  6365.9
 2009 01  6063.3
 2008 12 2065·3
 2008 11 8255.6
 2008 10 9449·6
 2008 09 4340·2
 2008 08 9833·4
 2008 07 9629·7
 2008 06 3731·1
 2008 05 1429.6
 2008 04 6452·1
 2008 03 4339·7
 2008 02 2844·2
 2008 01 4534.0
 2007 12  2036·8
 2007 11  5542·7
 2007 10  3040·5
 2007 09  2942·7
 2007 08  9154·7
 2007 07  9055·0
 2007 06  3228.1
 2007 05  8461·3
 2007 04  2765.9
 2007 03  2852·6
 2007 02  4679.0
 2007 01  5657·7
 2006 12 360.5
 2006 11 7660·5
 2006 10 1063·0
 2006 09 1441·0
 2006 08 2146·6
 2006 07 6635.3
 2006 06 8734.9
 2006 05 5039·7
 2006 04 438.6
 2006 03 5444.6
 2006 02 6562·5
 2006 01 8649.8
 2005 12  552.7
 2005 11  2344·9
 2005 10  5770.0
 2005 09  6465·2
 2005 08  9845.4
 2005 07  7838.0
 2005 06  041·8
 2005 05  5570.6
 2005 04  8359.2
 2005 03  5258.6
 2005 02  5854·4
 2005 01  5152.0
 2004 12 8662.1
 2004 11 151·9
 2004 10 1954·9
 2004 09 7244·0
 2004 08 5741·6
 2004 07 643.9
 2004 06 9535·1
 2004 05 6341·6
 2004 04 7250.1
 2004 03 7570.6
 2004 02 2448.4
 2004 01 9348·2
 2003 12  3180·4
 2003 11  3947·4
 2003 10  6937·6
 2003 09  5537·9
 2003 08  6045·0
 2003 07  5439·7
 2003 06  1839·7
 2003 05  6956·5
 2003 04  861.9
 2003 03  353.9
 2003 02  8570·7
 2003 01  7959.4
 2002 12 5247.9
 2002 11 9141.1
 2002 10 643·5
 2002 09 5368.0
 2002 08 9146·6
 2002 07 5152.0
 2002 06 4549·0
 2002 05 8841·4
 2002 04 5153.7
 2002 03 3968·1
 2002 02 8933·3
 2002 01 055.1
 2001 12  8349·6
 2001 11  3762.6
 2001 10  5266·6
 2001 09  3542.2
 2001 08  6135·7
 2001 07  5143·3
 2001 06  7133.9
 2001 05  6250.2
 2001 04  8754.5
 2001 03  1335·3
 2001 02  1032·5
 2001 01  7438·9
 2000 12 8551.6
 2000 11 8040·3
 2000 10 5540·4
 2000 09 9134.1
 2000 08 724.5
 2000 07 3424·8
 2000 06 2128.0
 2000 05 5743.3
 2000 04 2649·1
 2000 03 8050·3
 2000 02 4543.4
 2000 01 4253.8
 1999 12  4556.3
 1999 11  5162·0
 1999 10  8950·8
 1999 09  3970·2
 1999 08  8749.0
 1999 07  440.5
 1999 06  425·7
 1999 05  6724.0
 1999 04  426·1
 1999 03  199·3
 1999 02  1717.4
 1999 01  7140.0
 1998 12 7153·0
 1998 11 467·0
 1998 10 5232·4
 1998 09 2046·2
 1998 08 8948·9
 1998 07 9035.2
 1998 06 823·2
 1998 05 756·4
 1998 04 8266.9
 1998 03 3447.4
 1998 02 7564.7
 1998 01 5351.6
 1997 12  139·5
 1997 11  1764·7
 1997 10  6673·2
 1997 09  149.1
 1997 08  2242·4
 1997 07  4727·3
 1997 06  1719·2
 1997 05  2053·1
 1997 04  4449·0
 1997 03  5450.2
 1997 02  9251.4
 1997 01  443·2
 1996 12 9439.5
 1996 11 9648.4
 1996 10 7934·8
 1996 09 7462·4
 1996 08 2131.8
 1996 07 5342.9
 1996 06 9135.8
 1996 05 7159.4
 1996 04 251.5
 1996 03 3441·4
 1996 02 6547.9
 1996 01 6747·1
 1995 12  3642.9
 1995 11  6935·0
 1995 10  6552·3
 1995 09  5555.8
 1995 08  4946·0
 1995 07  1444·6
 1995 06  7948·9
 1995 05  5461·6
 1995 04  9154·8
 1995 03  5377.3
 1995 02  1856.1
 1995 01  861·6
 1994 12 3835.1
 1994 11 9038.8
 1994 10 2272·1
 1994 09 8754·6
 1994 08 8949·9
 1994 07 5929·3
 1994 06 5336·9
 1994 05 8458.4
 1994 04 7178.7
 1994 03 1562.8
 1994 02 9958.7
 1994 01 2040·9
 1993 12  3454.6
 1993 11  4051·4
 1993 10  7337·5
 1993 09  3649.3
 1993 08  5322·0
 1993 07  4115·7
 1993 06  1224·7
 1993 05  432.7
 1993 04  2926·7
 1993 03  4939·6
 1993 02  8042·4
 1993 01  1748.5
 1992 12 8747·8
 1992 11 2232.7
 1992 10 6548.2
 1992 09 9533.7
 1992 08 7733.3
 1992 07 4034.9
 1992 06 7925·2
 1992 05 8131.8
 1992 04 7442·8
 1992 03 1146·8
 1992 02 6048·9
 1992 01 4446·6
 1991 12  8043·2
 1991 11  6544·0
 1991 10  7239.4
 1991 09  7926·9
 1991 08  2022·5
 1991 07  6022·3
 1991 06  232.4
 1991 05  524.7
 1991 04  4338·6
 1991 03  7838·4
 1991 02  6342·1
 1991 01  6642·9
 1990 12 2637.3
 1990 11 2538·0
 1990 10 9232·4
 1990 09 3132.3
 1990 08 6823·9
 1990 07 3214.0
 1990 06 5417·1
 1990 05 9428.6
 1990 04 9542·8
 1990 03 5649·1
 1990 02 3528·1
 1990 01 7547·0
 1989 12  5831·0
 1989 11  7941.4
 1989 10  4843.0
 1989 09  1734·7
 1989 08  3227·2
 1989 07  829·5
 1989 06  3223·6
 1989 05  9034·5
 1989 04  1742.6
 1989 02  7422·1
 1989 01  5037·4
 1988 12 8823·5
 1988 11 3937·9
 1988 10 3346.9
 1988 09 8823.5
 1988 08 3032.9
 1988 07 4718.6
 1988 06 6829·8
 1988 05 6132.1
 1988 04 6022.7
 1988 03 1834·4
 1988 02 8532.9
 1988 01 543·5
 1987 12  4737·5
 1987 10  5229·6
 1987 09  1633·1
 1987 08  8524·6
 1987 07  8519·4
 1987 06  7524.1
 1987 05  1737·3
 1987 04  8747·5
 1987 03  9533·9
 1987 02  3546·7
 1987 01  7040·7
 1986 12 2526·4
 1986 11 1832·3
 1986 10 1038·7
 1986 09 8236.1
 1986 08 3728.5
 1986 07 2635.9
 1986 06 9932.8
 1986 05 8430·8
 1986 04 8543.1
 1986 03 1141.5
 1986 02 2845.7
 1986 01 3352·1
 1985 12  5849·7
 1985 11  9444.9
 1985 10  4754.5
 1985 09  1040·8
 1985 08  6739·3
 1985 07  1827.3
 1985 06  3241·2
 1985 05  2322.8
 1985 04  5232.2
 1985 03  5246·0
 1985 02  8344·3
 1985 01  343·3
 1984 12 7548·5
 1984 11 9141.5
 1984 10 2532.9
 1984 09 542·1
 1984 08 2332.5
 1984 07 5431.9
 1984 06 829.0
 1984 05 1448.0
 1984 04 1146.8
 1984 03 8449.5
 1984 02 948.4
 1984 01 3345.5
 1983 12  7552.2
 1983 11  5148.7
 1983 10  2747.4
 1983 09  9634.3
 1983 08  7929·3
 1983 07  4923·6
 1983 06  8938·8
 1983 05  6041·9
 1983 04  1057·0
 1983 03  9872.2
 1983 02  4361.4
 1983 01  549·1
 1982 12 8247.9
 1982 11 4147.6
 1982 10 6644·9
 1982 09 3831·6
 1982 08 3224·9
 1982 07 4726·2
 1982 06 5828.5
 1982 05 9134.9
 1982 04 2349·4
 1982 03 1147.2
 1982 02 4533·7
 1982 01 2143.7
 1981 12  4337·2
 1981 11  5225·1
 1981 10  7741·4
 1981 09  928·1
 1981 08  532.7
 1981 07  1439.2
 1981 06  2918·4
 1981 05  6132·1
 1981 04  4643·4
 1981 03  6634.3
 1981 02  134·8
 1981 01  1140·4
 1980 11 3144·5
 1980 10 240·8
 1980 09 2030·9
 1980 08 1327.1
 1980 07 4616·6
 1980 06 4114·6
 1980 05 3432·6
 1980 03 5145.8
 1979 12  543.7
 1979 08  2812·3
 1979 07  2116·2
 1979 06  2926·9
 1978 08 4538.6
 1978 07 3230·6
 1978 06 8014·9
 1978 05 8144·8
 1978 04 2960.0
 1978 03 4631·8
 1978 01 3741.2
 1977 12  6350·5
 1977 11  4552·7
 1977 10  9039.7
 1977 09  4137·2
 1977 08  5628·4
 1977 07  723·4
 1977 06  824.6
 1977 05  6956.1
 1977 04  6747·2
 1977 03  5141.4
 1977 02  7034·6
 1977 01  2143·5
 1976 12 2745.9
 1976 11 4143·8
 1976 10 6937·6
 1976 09 2132.6
 1976 06 9420.6
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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: Percent of Total New Entrants 20 years and over, Men 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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