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 Series Title: Of Total Unemployed 16-19 years, Men, Percent 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 5237.5
 2012 03 5742.2
 2012 02 5347·7
 2012 01 5144·6
 2011 12  8441.8
 2011 11  8647·3
 2011 10  9540·7
 2011 09  7734·2
 2011 08  8232·2
 2011 07  1325.6
 2011 06  3728·0
 2011 05  241.8
 2011 04  9653·6
 2011 03  2142.2
 2011 02  9345·9
 2011 01  6945·6
 2010 12 344·5
 2010 11 1543·4
 2010 10 042.1
 2010 09 4935·9
 2010 08 233·3
 2010 07 2831·7
 2010 06 2235·6
 2010 05 3443·8
 2010 04 1950·2
 2010 03 1649.2
 2010 02 4752.6
 2010 01 4545·7
 2009 12  548.3
 2009 11  6048·1
 2009 10  8745·3
 2009 09  2538.1
 2009 08  3431·7
 2009 07  6825.3
 2009 06  8029·6
 2009 05  4340.7
 2009 04  744·9
 2009 03  7138·6
 2009 02  8942·2
 2009 01  9439·0
 2008 12 4931·5
 2008 11 2529.1
 2008 10 328.2
 2008 09 9725·0
 2008 08 1220.4
 2008 07 1314.9
 2008 06 3314·8
 2008 05 9620·0
 2008 04 6929.8
 2008 03 4027.2
 2008 02 1830.0
 2008 01 6027.1
 2007 12  2324·6
 2007 11  3922.6
 2007 10  2124·1
 2007 09  8323·0
 2007 08  9715.3
 2007 07  6713·4
 2007 06  3014.1
 2007 05  8526·4
 2007 04  4330·0
 2007 03  325·3
 2007 02  5627.9
 2007 01  923·7
 2006 12 3523·5
 2006 11 5724.0
 2006 10 4025·6
 2006 09 2422.4
 2006 08 7517.5
 2006 07 5815·4
 2006 06 4213.2
 2006 05 2620.6
 2006 04 8826.7
 2006 03 6429·2
 2006 02 5227.6
 2006 01 3220.7
 2005 12  2327.4
 2005 11  5724.4
 2005 10  8223·2
 2005 09  8726·4
 2005 08  5721.6
 2005 07  4216.7
 2005 06  7017.3
 2005 05  6122.9
 2005 04  8924·0
 2005 03  5332.3
 2005 02  7827.0
 2005 01  4728.5
 2004 12 4631·8
 2004 11 4427.1
 2004 10 9525·9
 2004 09 6419·6
 2004 08 7718.8
 2004 07 9814·6
 2004 06 3417·5
 2004 05 5728.0
 2004 04 5828.2
 2004 03 2227·3
 2004 02 3328.0
 2004 01 9531·9
 2003 12  8928.6
 2003 11  4721·7
 2003 10  5425.0
 2003 09  7218.6
 2003 08  9619.2
 2003 07  3020.4
 2003 06  8521·5
 2003 05  630·6
 2003 04  3031.2
 2003 03  5327.8
 2003 02  3927.5
 2003 01  4324.2
 2002 12 6426·4
 2002 11 2121·6
 2002 10 5424.2
 2002 09 5116·5
 2002 08 115·9
 2002 07 6812.4
 2002 06 9314.9
 2002 05 2522.3
 2002 04 6522.3
 2002 03 4831·9
 2002 02 4530.2
 2002 01 8329·4
 2001 12  721·9
 2001 11  4516·9
 2001 10  2017.4
 2001 09  7015.7
 2001 08  114·9
 2001 07  6515·6
 2001 06  5911.7
 2001 05  5520.6
 2001 04  4921.5
 2001 03  3822·7
 2001 02  2318·2
 2001 01  3211.6
 2000 12 7614·7
 2000 11 2312.5
 2000 10 016.4
 2000 09 2011·0
 2000 08 3213·5
 2000 07 110·0
 2000 06 412.8
 2000 05 6312.5
 2000 04 9315.2
 2000 03 7713·2
 2000 02 7218·5
 2000 01 3115.9
 1999 12  5912.9
 1999 11  858·4
 1999 10  6714·8
 1999 09  1813.5
 1999 08  5512.5
 1999 07  8011.6
 1999 06  7713.8
 1999 05  4217.9
 1999 04  3220.0
 1999 03  4417.8
 1999 02  1519.0
 1999 01  4816·6
 1998 12 6517.9
 1998 11 8412.7
 1998 10 1817·0
 1998 09 517.8
 1998 08 5513.5
 1998 07 3213·3
 1998 06 519.6
 1998 05 712·8
 1998 04 2719.0
 1998 03 4319.9
 1998 02 9920.1
 1998 01 7318.4
 1997 12  3124·1
 1997 11  020·2
 1997 10  7718.5
 1997 09  4817·5
 1997 08  4214.6
 1997 07  1011.7
 1997 06  2312·9
 1997 05  124·3
 1997 04  6227.7
 1997 03  421.1
 1997 02  9920.4
 1997 01  2524.0
 1996 12 1615.1
 1996 11 3815.8
 1996 10 9217·4
 1996 09 4019·1
 1996 08 5319·4
 1996 07 9515·4
 1996 06 1717·4
 1996 05 9022·6
 1996 04 5025·4
 1996 03 8019.0
 1996 02 1121.3
 1996 01 4423·8
 1995 12  619.3
 1995 11  2721·3
 1995 10  3620·3
 1995 09  9619·6
 1995 08  4816.7
 1995 07  9012.8
 1995 06  8112.5
 1995 05  6625·5
 1995 04  2524·9
 1995 03  5226.4
 1995 02  5926.1
 1995 01  9723.3
 1994 12 1219·4
 1994 11 2021·1
 1994 10 723.6
 1994 09 5921.1
 1994 08 1116.7
 1994 07 2518.9
 1994 06 8915·7
 1994 05 4623.3
 1994 04 4727.5
 1994 03 2333·9
 1994 02 9126.0
 1994 01 7726.0
 1993 12  7021.8
 1993 11  9815.8
 1993 10  2815.4
 1993 09  9615·4
 1993 08  558·6
 1993 07  548.9
 1993 06  3710.3
 1993 05  7218.3
 1993 04  320·5
 1993 03  2322·0
 1993 02  8017·3
 1993 01  015·9
 1992 12 3920·3
 1992 11 6417.9
 1992 10 4717·9
 1992 09 9814.3
 1992 08 1412·2
 1992 07 569.3
 1992 06 4912.5
 1992 05 1120.8
 1992 04 321·6
 1992 03 721.2
 1992 02 2422.5
 1992 01 718.0
 1991 12  614·9
 1991 11  4816·5
 1991 10  3716·3
 1991 09  8212·1
 1991 08  499.6
 1991 07  369·0
 1991 06  739·0
 1991 05  5414·7
 1991 04  8217·4
 1991 03  5216·2
 1991 02  4716.5
 1991 01  6716·0
 1990 12 8113·7
 1990 11 415·5
 1990 10 968·1
 1990 09 908·3
 1990 08 467.8
 1990 07 223.9
 1990 06 824.0
 1990 05 1811.3
 1990 04 215·6
 1990 03 6414·1
 1990 02 959.4
 1990 01 709·9
 1989 12  011·6
 1989 11  1111.7
 1989 10  477.7
 1989 09  896.6
 1989 08  144.9
 1989 07  704·1
 1989 06  755·7
 1989 05  4511·5
 1989 04  4714·9
 1989 03  7316·7
 1989 02  4314·2
 1989 01  3213.4
 1988 12 2213.9
 1988 11 7512·0
 1988 10 3813·3
 1988 09 708.0
 1988 08 915·2
 1988 07 596·5
 1988 06 745·5
 1988 05 213.9
 1988 04 2818·7
 1988 03 3114·3
 1988 02 8817.9
 1988 01 9715.4
 1987 12  3415.7
 1987 11  2311·5
 1987 10  4310·2
 1987 09  518·9
 1987 08  358·3
 1987 07  928·0
 1987 06  2710.2
 1987 05  8016·5
 1987 04  8118·2
 1987 03  1915·6
 1987 02  5318.0
 1987 01  3121·2
 1986 12 4716·0
 1986 11 1116·5
 1986 10 5915.0
 1986 09 7211·8
 1986 08 3310·5
 1986 07 9911·4
 1986 06 711·6
 1986 05 9715·2
 1986 04 6620·3
 1986 03 4118·3
 1986 02 8716.7
 1986 01 2614·8
 1985 12  9517·3
 1985 11  1715·6
 1985 10  916·4
 1985 09  212·2
 1985 08  959·0
 1985 07  356.6
 1985 06  137·3
 1985 05  9415·9
 1985 04  6819.0
 1985 03  2618·5
 1985 02  6117.8
 1985 01  9818.1
 1984 12 3916·4
 1984 11 4713.8
 1984 10 4217·7
 1984 09 3117·4
 1984 08 5713·2
 1984 07 799.9
 1984 06 6711.1
 1984 05 3822·0
 1984 04 9929·5
 1984 03 2922.5
 1984 02 7623.3
 1984 01 8924·1
 1983 12  6522·8
 1983 11  2821.6
 1983 10  3018.4
 1983 09  7719.5
 1983 08  8014·8
 1983 07  3415.8
 1983 06  1814·7
 1983 05  2131·1
 1983 04  9428.5
 1983 03  2834.6
 1983 02  5335·2
 1983 01  6633·1
 1982 12 8327.7
 1982 11 1625.0
 1982 10 7226.8
 1982 09 8121.3
 1982 08 4817.1
 1982 07 3114.0
 1982 06 3814·9
 1982 05 5925·2
 1982 04 1325·6
 1982 03 2823·9
 1982 02 4022.2
 1982 01 2123·1
 1981 12  3018·8
 1981 11  9015·9
 1981 10  9019.6
 1981 09  1018·1
 1981 08  7316.2
 1981 07  2312·2
 1981 06  2612.1
 1981 05  9521.7
 1981 04  4328.0
 1981 03  5926.2
 1981 02  1122·5
 1981 01  7019.9
 1980 12 6522.6
 1980 11 5413.5
 1980 10 3317·9
 1980 09 5615.0
 1980 08 9012.4
 1980 07 9011·4
 1980 06 49.9
 1980 05 9520·7
 1980 04 9222.4
 1980 03 7417.5
 1980 02 6415.8
 1980 01 5613·8
 1979 12  7413.0
 1979 11  389·7
 1979 10  7311.9
 1979 09  359.6
 1979 08  596.5
 1979 07  376.5
 1979 06  217·2
 1979 05  5016.4
 1979 04  9820·1
 1979 03  5418.3
 1979 02  2116.8
 1979 01  4615.5
 1978 12 6713.0
 1978 11 9510.8
 1978 10 914.2
 1978 09 909.3
 1978 08 6611·0
 1978 07 927.9
 1978 06 508·8
 1978 05 7917·4
 1978 04 2019·6
 1978 03 118·0
 1978 02 3122·1
 1978 01 3018·8
 1977 12  8118·3
 1977 11  514.2
 1977 10  6417.0
 1977 09  8812.1
 1977 08  229·9
 1977 07  911.2
 1977 06  8910.9
 1977 05  2225·2
 1977 04  4523·5
 1977 03  4619.8
 1977 02  6623·2
 1977 01  2621·0
 1976 12 7516·1
 1976 11 7218.0
 1976 10 8617·7
 1976 09 1915.0
 1976 08 6211·1
 1976 07 6910.3
 1976 06 6014·4
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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 16-19 years, Men, Percent 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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