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 Series Title: Percent of Total New Entrants 20 years and over, Men Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 113.7
 2012 03 5714.8
 2012 02 2017·9
 2012 01 1911.1
 2011 12  517·0
 2011 11  3111.0
 2011 10  5514.2
 2011 09  6210.2
 2011 08  1810.2
 2011 07  485.0
 2011 06  3516.3
 2011 05  4820.1
 2011 04  9321·1
 2011 03  8912·6
 2011 02  7321.4
 2011 01  2018·2
 2010 12 316.9
 2010 11 6027·7
 2010 10 521.5
 2010 09 4812·0
 2010 08 4912.9
 2010 07 9414·3
 2010 06 9716.0
 2010 05 2611·5
 2010 04 5716.9
 2010 03 4616·3
 2010 02 3421.2
 2010 01 7320·7
 2009 12  7716.5
 2009 11  9826.4
 2009 10  3120·8
 2009 09  3319·2
 2009 08  8417·1
 2009 07  5813.6
 2009 06  2412·7
 2009 05  7516·4
 2009 04  8019·4
 2009 03  5627.4
 2009 02  7726·4
 2009 01  9418.3
 2008 12 8834.8
 2008 11 5030·4
 2008 10 798.7
 2008 09 812·5
 2008 08 6019·6
 2008 07 2111·0
 2008 06 409·0
 2008 05 6210.8
 2008 04 7119·6
 2008 03 759·4
 2008 02 122·1
 2008 01 2511.0
 2007 12  2213.1
 2007 11  456.4
 2007 10  2310.0
 2007 09  903·6
 2007 08  377·0
 2007 07  8610·5
 2007 06  940·9
 2007 05  7817·1
 2007 04  6818.2
 2007 03  816·2
 2007 02  2831.2
 2007 01  3219·5
 2006 12 8911·7
 2006 11 3629·2
 2006 10 6128.7
 2006 09 2114·6
 2006 08 15·2
 2006 07 8410·0
 2006 05 5814.4
 2006 04 404·3
 2006 03 298·7
 2006 02 7912.1
 2006 01 511.8
 2005 12  819·1
 2005 11  2414.3
 2005 10  529·3
 2005 09  1719.5
 2005 08  6812·7
 2005 07  615·4
 2005 06  6712.7
 2005 05  3021·5
 2005 04  909.1
 2005 03  416·4
 2005 02  9815.6
 2005 01  717.1
 2004 12 6919·3
 2004 11 8822.3
 2004 10 5416·3
 2004 09 377.1
 2004 08 228·3
 2004 07 545.5
 2004 06 1614·5
 2004 05 3314.3
 2004 04 958.0
 2004 03 1319·7
 2004 02 9217·0
 2004 01 3111·6
 2003 12  5717.2
 2003 11  678.0
 2003 10  1214·2
 2003 09  966·8
 2003 08  19.9
 2003 07  4015.9
 2003 06  353.2
 2003 05  1523·2
 2003 04  4711·4
 2003 03  8312·5
 2003 02  4039·9
 2003 01  136·0
 2002 12 3911·2
 2002 11 714·2
 2002 10 367·5
 2002 09 9222·7
 2002 08 469·9
 2002 07 514·7
 2002 06 5310.3
 2002 05 5017.7
 2002 04 6212.7
 2002 03 1013.7
 2002 02 4816·2
 2002 01 6415.3
 2001 12  612·9
 2001 11  3634·6
 2001 10  317·1
 2001 09  4619·2
 2001 08  234.7
 2001 07  5924·8
 2001 06  243.8
 2001 05  359·6
 2001 04  8224·2
 2001 03  7914·6
 2001 02  437·7
 2001 01  936.2
 2000 12 7611·8
 2000 11 2210·6
 2000 10 1826·1
 2000 09 812·5
 2000 08 259.7
 2000 07 381·5
 2000 05 2815.2
 2000 04 9328·4
 2000 03 7424·9
 2000 02 226.8
 2000 01 8215.9
 1999 12  878·1
 1999 11  907·9
 1999 10  154.4
 1999 09  1028·8
 1999 07  5115·6
 1999 06  693·0
 1999 05  22·6
 1999 04  6926.1
 1999 03  739.3
 1999 02  301·5
 1999 01  149·9
 1998 12 417·1
 1998 11 682.1
 1998 10 153·6
 1998 08 254·9
 1998 07 3314·5
 1998 06 723·1
 1998 05 964.0
 1998 04 3716.4
 1998 03 7623.9
 1998 02 4821.9
 1998 01 6626·4
 1997 12  758.2
 1997 11  2729.0
 1997 10  8435·5
 1997 09  434·3
 1997 08  8919.0
 1997 07  6816·8
 1997 06  943.8
 1997 05  7318.0
 1997 04  5413·7
 1997 03  47·8
 1997 02  159.3
 1997 01  2414.2
 1996 12 7117.8
 1996 11 6910·7
 1996 10 107.8
 1996 09 9123·4
 1996 07 6512·6
 1996 06 175·8
 1996 05 6621·4
 1996 04 929·8
 1996 03 8719.5
 1996 02 3212.3
 1996 01 9824·1
 1995 12  7214.4
 1995 11  1212.8
 1995 10  1925·6
 1995 09  4215·0
 1995 08  07·8
 1995 07  4118.8
 1995 06  1114.6
 1995 05  6114.5
 1995 04  7016.9
 1995 03  9817·6
 1995 02  6420.9
 1995 01  4422.4
 1994 12 110.0
 1994 11 357.2
 1994 10 5918.8
 1994 09 310.3
 1994 08 3720·6
 1994 07 263.3
 1994 06 45.2
 1994 05 7616·5
 1994 04 4811.0
 1994 03 7212.0
 1994 02 2919.2
 1994 01 274·0
 1993 12  2722·1
 1993 11  9928·1
 1993 10  9210.1
 1993 09  4223·9
 1993 08  9412·5
 1993 07  565·8
 1993 06  756·3
 1993 05  3616.4
 1993 04  9313·3
 1993 03  2021.7
 1993 02  8315·0
 1993 01  4520.9
 1992 12 9329.7
 1992 11 9012.5
 1992 10 4823.2
 1992 09 3214.3
 1992 08 8815·1
 1992 07 926·4
 1992 06 285·3
 1992 05 879·9
 1992 04 987.7
 1992 03 7717.8
 1992 02 317.6
 1992 01 2015·9
 1991 12  6624.2
 1991 11  1923·5
 1991 10  8018·7
 1991 09  7114·4
 1991 08  618·9
 1991 07  207·6
 1991 06  9210·4
 1991 05  25·8
 1991 04  789·5
 1991 03  311·3
 1991 02  9418·6
 1991 01  220·9
 1990 12 3620.6
 1990 11 2123.8
 1990 10 6915.5
 1990 09 8218·4
 1990 08 796.2
 1990 07 483·4
 1990 06 239·9
 1990 05 819.7
 1990 04 767·3
 1990 03 8522.6
 1990 02 8716·9
 1990 01 6221·1
 1989 12  226·0
 1989 11  5716.3
 1989 10  1821·2
 1989 09  1217·7
 1989 08  348.3
 1989 07  1513·7
 1989 06  989.2
 1989 05  4628.2
 1989 04  5918.3
 1989 02  3311.8
 1989 01  3412·3
 1988 12 9915·1
 1988 11 6414·7
 1988 10 1210.9
 1988 09 576·6
 1988 08 3620.0
 1988 07 438.9
 1988 06 7913·7
 1988 05 2316.5
 1988 04 4415·1
 1988 03 1710.5
 1988 02 8210.6
 1988 01 169.0
 1987 12  3614.8
 1987 10  299·4
 1987 09  9720.3
 1987 08  4014·5
 1987 07  5111·6
 1987 06  485·1
 1987 05  2615.8
 1987 04  2712·3
 1987 03  5011·9
 1987 02  6915.9
 1987 01  9315.5
 1986 12 3614·9
 1986 11 226·5
 1986 10 104.7
 1986 09 488.8
 1986 08 466.5
 1986 07 796.0
 1986 06 1611·8
 1986 05 679·1
 1986 04 6414·2
 1986 03 6011·1
 1986 02 569·3
 1986 01 5116·1
 1985 12  2416·0
 1985 11  2810.7
 1985 10  2321.2
 1985 09  2411.7
 1985 08  7915·6
 1985 07  704·6
 1985 06  3811·5
 1985 05  387.3
 1985 04  1411.0
 1985 03  9915·2
 1985 02  4411·2
 1985 01  677·9
 1984 12 3421·8
 1984 11 5312.9
 1984 10 1013.5
 1984 09 1215·8
 1984 08 705·4
 1984 07 967.8
 1984 06 314·1
 1984 05 9911.4
 1984 04 807·3
 1984 03 1415.4
 1984 02 2513·3
 1984 01 7716·3
 1983 12  4521·0
 1983 11  2121.0
 1983 10  3820·9
 1983 09  2214.9
 1983 08  7210·1
 1983 07  554·8
 1983 06  3712·3
 1983 05  3515.7
 1983 04  9218.7
 1983 03  789·0
 1983 02  1714·9
 1983 01  4111.0
 1982 12 6222·2
 1982 11 7913.3
 1982 10 9816·5
 1982 09 9014.9
 1982 08 642.4
 1982 07 708.6
 1982 06 2311.0
 1982 05 5815.3
 1982 04 531·1
 1982 03 8925.6
 1982 02 6120·7
 1982 01 4519.7
 1981 12  1521.8
 1981 11  08.2
 1981 10  718.6
 1981 09  7616·6
 1981 08  5113·3
 1981 07  8911.4
 1981 06  806·6
 1981 05  211.9
 1981 04  9610.8
 1981 03  718·7
 1981 02  2416.9
 1981 01  9815·7
 1980 11 5620·0
 1980 10 8224.7
 1980 09 815·1
 1980 08 658.8
 1980 07 639.4
 1980 06 866·3
 1980 05 2616.5
 1980 03 2818·3
 1979 12  7222·7
 1979 08  711·6
 1979 07  974.5
 1979 06  3811·5
 1978 08 6719.3
 1978 07 4913·3
 1978 06 6611·5
 1978 05 6920.7
 1978 04 5237·6
 1978 03 581.2
 1978 01 218·6
 1977 12  2221·5
 1977 11  6121.5
 1977 10  6211·5
 1977 09  9820.9
 1977 08  2312·6
 1977 07  507.2
 1977 05  4814.1
 1977 04  7417.0
 1977 03  2211·5
 1977 02  04·7
 1977 01  298·2
 1976 12 7512.2
 1976 11 9513·5
 1976 10 187.9
 1976 09 435.6
 1976 06 686·5
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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: Percent of Total New Entrants 20 years and over, Men Unemployed 15-26 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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