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 Series Title: Of Total Unemployed 16-19 years Percent who are Job Losers on Layoff: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 483·8
 2012 03 424·0
 2012 02 45.7
 2012 01 67.5
 2011 12  435.4
 2011 11  124.7
 2011 10  152.2
 2011 09  792.8
 2011 08  173·6
 2011 07  941·9
 2011 06  391·7
 2011 05  643·5
 2011 04  204.5
 2011 03  683·6
 2011 02  905.3
 2011 01  56·2
 2010 12 275·7
 2010 11 424.6
 2010 10 52·8
 2010 09 692·9
 2010 08 404·6
 2010 07 462·3
 2010 06 463·1
 2010 05 534.5
 2010 04 833.6
 2010 03 385.5
 2010 02 37·5
 2010 01 747·6
 2009 12  76.2
 2009 11  995.5
 2009 10  885.4
 2009 09  764.0
 2009 08  874.1
 2009 07  363·8
 2009 06  383.6
 2009 05  305.9
 2009 04  235·5
 2009 03  815·8
 2009 02  174·1
 2009 01  297.0
 2008 12 427·6
 2008 11 896·8
 2008 10 133.9
 2008 09 933.7
 2008 08 934.6
 2008 07 434.4
 2008 06 382.4
 2008 05 644·7
 2008 04 516.7
 2008 03 507.8
 2008 02 307.4
 2008 01 1410.9
 2007 12  187.3
 2007 11  406·6
 2007 10  533.5
 2007 09  353.7
 2007 08  195·9
 2007 07  713.8
 2007 06  942.7
 2007 05  466·6
 2007 04  38·4
 2007 03  255·8
 2007 02  657.3
 2007 01  938.5
 2006 12 465.8
 2006 11 75.4
 2006 10 65.0
 2006 09 445·5
 2006 08 503.3
 2006 07 513·1
 2006 06 784·1
 2006 05 934·7
 2006 04 384.4
 2006 03 116.7
 2006 02 706.6
 2006 01 607.6
 2005 12  625.3
 2005 11  705·3
 2005 10  955.5
 2005 09  885.1
 2005 08  964·0
 2005 07  343·3
 2005 06  903·2
 2005 05  473·5
 2005 04  425.5
 2005 03  365.8
 2005 02  187.3
 2005 01  317·2
 2004 12 257·2
 2004 11 325.9
 2004 10 674·9
 2004 09 594.0
 2004 08 954·0
 2004 07 34·7
 2004 06 512.5
 2004 05 753·2
 2004 04 275.6
 2004 03 565.4
 2004 02 74·4
 2004 01 487·9
 2003 12  228·0
 2003 11  224.6
 2003 10  975.1
 2003 09  725·5
 2003 08  55·1
 2003 07  604·0
 2003 06  112.3
 2003 05  675·0
 2003 04  264.9
 2003 03  496.5
 2003 02  607·8
 2003 01  778·7
 2002 12 626.0
 2002 11 966·0
 2002 10 823·9
 2002 09 706.4
 2002 08 124.3
 2002 07 343.5
 2002 06 413·5
 2002 05 423.5
 2002 04 24.2
 2002 03 195·1
 2002 02 247·2
 2002 01 116.7
 2001 12  826·4
 2001 11  324.4
 2001 10  456.4
 2001 09  203·0
 2001 08  284·2
 2001 07  814·4
 2001 06  413·7
 2001 05  415.0
 2001 04  396·2
 2001 03  966·5
 2001 02  749·0
 2001 01  6513·8
 2000 12 428.0
 2000 11 356.5
 2000 10 344·1
 2000 09 144·7
 2000 08 875.6
 2000 07 793.6
 2000 06 322·5
 2000 05 303·6
 2000 04 494·9
 2000 03 354.7
 2000 02 86·1
 2000 01 839·2
 1999 12  286.1
 1999 11  347.9
 1999 10  223·8
 1999 09  676.6
 1999 08  503.2
 1999 07  332·7
 1999 06  653.9
 1999 05  24·1
 1999 04  655.4
 1999 03  146.6
 1999 02  475.1
 1999 01  319·5
 1998 12 496·2
 1998 11 833·9
 1998 10 84·6
 1998 09 235.1
 1998 08 33·5
 1998 07 724·3
 1998 06 104.0
 1998 05 734.2
 1998 04 505.3
 1998 03 385·3
 1998 02 415.2
 1998 01 010.1
 1997 12  434.9
 1997 11  624.9
 1997 10  143.6
 1997 09  472·5
 1997 08  563·5
 1997 07  514·2
 1997 06  663.5
 1997 05  853.5
 1997 04  895·3
 1997 03  365.7
 1997 02  626.2
 1997 01  78.8
 1996 12 687.6
 1996 11 745.5
 1996 10 885·0
 1996 09 333·5
 1996 08 443.5
 1996 07 484.0
 1996 06 572.2
 1996 05 54·4
 1996 04 925.0
 1996 03 625·2
 1996 02 87·1
 1996 01 959·2
 1995 12  127·8
 1995 11  506.7
 1995 10  35.6
 1995 09  952·5
 1995 08  293.9
 1995 07  683.4
 1995 06  312·8
 1995 05  254.2
 1995 04  955·4
 1995 03  967.2
 1995 02  37·5
 1995 01  299·9
 1994 12 838·6
 1994 11 433·6
 1994 10 584·8
 1994 09 774·4
 1994 08 964.2
 1994 07 403.5
 1994 06 602.1
 1994 05 622·9
 1994 04 584.4
 1994 03 427·3
 1994 02 949·3
 1994 01 39.3
 1993 12  194·2
 1993 11  332.1
 1993 10  763.1
 1993 09  452·2
 1993 08  552.4
 1993 07  182.3
 1993 06  422.2
 1993 05  563·1
 1993 04  673·7
 1993 03  304·2
 1993 02  555·2
 1993 01  325·8
 1992 12 792·7
 1992 11 243.7
 1992 10 43.3
 1992 09 903.0
 1992 08 423.0
 1992 07 832·9
 1992 06 12·0
 1992 05 762.7
 1992 04 323·1
 1992 03 135.7
 1992 02 845.8
 1992 01 584.9
 1991 12  494·9
 1991 11  453.4
 1991 10  152·7
 1991 09  303·2
 1991 08  183·4
 1991 07  373.7
 1991 06  842·9
 1991 05  124·4
 1991 04  892.8
 1991 03  715.7
 1991 02  38·6
 1991 01  486·9
 1990 12 395.6
 1990 11 513.9
 1990 10 94·9
 1990 09 73.9
 1990 08 673.4
 1990 07 123·9
 1990 06 651·6
 1990 05 833·3
 1990 04 993·9
 1990 03 85·7
 1990 02 605.6
 1990 01 946.3
 1989 12  854.1
 1989 11  214.4
 1989 10  62.2
 1989 09  873.5
 1989 08  13·4
 1989 07  592.3
 1989 06  421.2
 1989 05  282·7
 1989 04  475·0
 1989 03  536·2
 1989 02  304·5
 1989 01  148·0
 1988 12 483·8
 1988 11 604·6
 1988 10 573.0
 1988 09 612.7
 1988 08 554.7
 1988 07 603.5
 1988 06 373·6
 1988 05 164.1
 1988 04 443·6
 1988 03 614·6
 1988 02 93·8
 1988 01 476·1
 1987 12  133·0
 1987 11  953.5
 1987 10  334·4
 1987 09  482.7
 1987 08  902.4
 1987 07  182·5
 1987 06  01·9
 1987 05  382.3
 1987 04  243·3
 1987 03  124·3
 1987 02  215·0
 1987 01  625·4
 1986 12 914.4
 1986 11 834·3
 1986 10 343·0
 1986 09 882·3
 1986 08 913.3
 1986 07 632.8
 1986 06 21.9
 1986 05 112.9
 1986 04 503.5
 1986 03 84.3
 1986 02 134·9
 1986 01 506·0
 1985 12  176·4
 1985 11  13·5
 1985 10  815·5
 1985 09  494.6
 1985 08  694·4
 1985 07  483·2
 1985 06  422·0
 1985 05  773.1
 1985 04  55·0
 1985 03  815·6
 1985 02  606·5
 1985 01  288.3
 1984 12 526.0
 1984 11 564·6
 1984 10 233.6
 1984 09 224.0
 1984 08 592·7
 1984 07 544·4
 1984 06 432.1
 1984 05 22.2
 1984 04 23.3
 1984 03 835·0
 1984 02 586·5
 1984 01 387.4
 1983 12  814.5
 1983 11  743·6
 1983 10  323.5
 1983 09  232·3
 1983 08  223·9
 1983 07  843.3
 1983 06  532·0
 1983 05  784.4
 1983 04  744·7
 1983 03  954·7
 1983 02  326·3
 1983 01  469.1
 1982 12 155.3
 1982 11 126·4
 1982 10 84·8
 1982 09 965·0
 1982 08 435·4
 1982 07 684·1
 1982 06 443.8
 1982 05 223.9
 1982 04 845·3
 1982 03 205·8
 1982 02 287.5
 1982 01 4411.3
 1981 12  898·9
 1981 11  487·1
 1981 10  735.1
 1981 09  64.0
 1981 08  334·3
 1981 07  612·7
 1981 06  162·5
 1981 05  763.7
 1981 04  164·8
 1981 03  886·8
 1981 02  215·6
 1981 01  508·7
 1980 12 645.8
 1980 11 875.6
 1980 10 755.3
 1980 09 454·8
 1980 08 286·8
 1980 07 404.9
 1980 06 915.1
 1980 05 77.5
 1980 04 816.1
 1980 03 536.8
 1980 02 86.4
 1980 01 49.3
 1979 12  265·5
 1979 11  585.0
 1979 10  874.5
 1979 09  314.1
 1979 08  875·3
 1979 07  113.8
 1979 06  183.7
 1979 05  63.7
 1979 04  155.7
 1979 03  957·1
 1979 02  129·0
 1979 01  757·8
 1978 12 856.4
 1978 11 153.9
 1978 10 83.5
 1978 09 52·9
 1978 08 973.7
 1978 07 33·2
 1978 06 681.4
 1978 05 913.0
 1978 04 783.5
 1978 03 174.1
 1978 02 815·9
 1978 01 527·9
 1977 12  765.3
 1977 11  374.6
 1977 10  593.5
 1977 09  333·7
 1977 08  694.1
 1977 07  713·0
 1977 06  412.7
 1977 05  24·9
 1977 04  553·8
 1977 03  496·8
 1977 02  886.5
 1977 01  548.2
 1976 12 617.3
 1976 11 305.0
 1976 10 904·5
 1976 09 84.0
 1976 08 375.2
 1976 07 934.0
 1976 06 593.4
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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 Percent who are Job Losers on Layoff: 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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