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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 144019·
 2012 03 643974.
 2012 02 423905·
 2012 01 973846.
 2011 12  974038·
 2011 11  174018·
 2011 10  304079.
 2011 09  403971·
 2011 08  354509.
 2011 07  564928.
 2011 06  54650.
 2011 05  703997.
 2011 04  773903.
 2011 03  623915·
 2011 02  823854.
 2011 01  303789.
 2010 12 983992·
 2010 11 434001.
 2010 10 983959·
 2010 09 903909.
 2010 08 994636.
 2010 07 305036·
 2010 06 164625.
 2010 05 434166·
 2010 04 64167.
 2010 03 794063.
 2010 02 244017.
 2010 01 93921.
 2009 12  684140·
 2009 11  734100.
 2009 10  354147.
 2009 09  324256·
 2009 08  625018.
 2009 07  175630·
 2009 06  865342·
 2009 05  814682·
 2009 04  874626·
 2009 03  444566·
 2009 02  414665·
 2009 01  504603.
 2008 12 704917·
 2008 11 104865.
 2008 10 885090.
 2008 09 585124.
 2008 08 595809·
 2008 07 976368·
 2008 06 396056.
 2008 05 505457·
 2008 04 325358·
 2008 03 115209·
 2008 02 335092.
 2008 01 945120·
 2007 12  875526·
 2007 11  845479.
 2007 10  325533·
 2007 09  855437.
 2007 08  516049·
 2007 07  726934·
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 2007 04  745358.
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 2006 08 236548.
 2006 07 737189.
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 2006 05 735800.
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 2006 01 855459·
 2005 12  385791·
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 2005 07  556983·
 2005 06  26452·
 2005 05  875542·
 2005 04  215356·
 2005 03  395425.
 2005 02  65257·
 2005 01  415335.
 2004 12 675643.
 2004 11 925638.
 2004 10 75572·
 2004 09 135431·
 2004 08 756347.
 2004 07 956808·
 2004 06 176251·
 2004 05 495480·
 2004 04 215336.
 2004 03 565254.
 2004 02 735302.
 2004 01 175328.
 2003 12  45520.
 2003 11  55566.
 2003 10  405520·
 2003 09  115446.
 2003 08  516278·
 2003 07  996769·
 2003 06  46283.
 2003 05  515533·
 2003 04  125407.
 2003 03  215339·
 2003 02  805475·
 2003 01  815439·
 2002 12 615785·
 2002 11 765760.
 2002 10 36025·
 2002 09 695927·
 2002 08 06640·
 2002 07 967260.
 2002 06 396796.
 2002 05 115913.
 2002 04 535755.
 2002 03 385909.
 2002 02 735826·
 2002 01 245683.
 2001 12  726096.
 2001 11  846157·
 2001 10  206196·
 2001 09  546101·
 2001 08  316749·
 2001 07  407862.
 2001 06  177330·
 2001 05  696284·
 2001 04  316231.
 2001 03  386394.
 2001 02  276386·
 2001 01  646306·
 2000 12 986826.
 2000 11 346651·
 2000 10 376642.
 2000 09 576506.
 2000 08 817600·
 2000 07 118167.
 2000 06 627829.
 2000 05 936819.
 2000 04 576729.
 2000 03 746578.
 2000 02 386470·
 2000 01 416459·
 1999 12  256830·
 1999 11  556626·
 1999 10  296722.
 1999 09  966447·
 1999 08  107562.
 1999 07  128299·
 1999 06  237464.
 1999 05  756814.
 1999 04  656499.
 1999 03  256483·
 1999 02  316452.
 1999 01  246254.
 1998 12 626769·
 1998 11 26511.
 1998 10 936393·
 1998 09 116449·
 1998 08 47509.
 1998 07 738085·
 1998 06 717460.
 1998 05 316496·
 1998 04 166299·
 1998 03 966330·
 1998 02 536214·
 1998 01 36192.
 1997 12  476373·
 1997 11  536296·
 1997 10  536169.
 1997 09  706000·
 1997 08  737095.
 1997 07  497660.
 1997 06  66937·
 1997 05  36136·
 1997 04  955953.
 1997 03  175886·
 1997 02  785774·
 1997 01  955670.
 1996 12 386041.
 1996 11 135999·
 1996 10 556111·
 1996 09 656030·
 1996 08 536969·
 1996 07 187569.
 1996 06 516820.
 1996 05 585914.
 1996 04 145694.
 1996 03 405604.
 1996 02 35545.
 1996 01 425488.
 1995 12  235873.
 1995 11  105843·
 1995 10  745827.
 1995 09  125806·
 1995 08  47040·
 1995 07  857327.
 1995 06  536738.
 1995 05  875727·
 1995 04  85596.
 1995 03  475607.
 1995 02  515445·
 1995 01  125463·
 1994 12 105766·
 1994 11 15667·
 1994 10 85579.
 1994 09 545408·
 1994 08 126806·
 1994 07 807140.
 1994 06 856534·
 1994 05 95539.
 1994 04 375331.
 1994 03 405166·
 1994 02 715206·
 1994 01 955223.
 1993 12  375434.
 1993 11  635420.
 1993 10  795325.
 1993 09  565299.
 1993 08  876588.
 1993 07  566977.
 1993 06  466096.
 1993 05  635231.
 1993 04  874959.
 1993 03  504923·
 1993 02  354923·
 1993 01  84851.
 1992 12 635222·
 1992 11 15136.
 1992 10 355209·
 1992 09 125122·
 1992 08 656353·
 1992 07 936661.
 1992 06 585847.
 1992 05 175048·
 1992 04 684897·
 1992 03 304804·
 1992 02 424914.
 1992 01 944961·
 1991 12  745231.
 1991 11  455288·
 1991 10  505344.
 1991 09  375263·
 1991 08  66347.
 1991 07  946799·
 1991 06  706235·
 1991 05  645321·
 1991 04  175355·
 1991 03  605313.
 1991 02  155334.
 1991 01  195302·
 1990 12 805735.
 1990 11 485659·
 1990 10 225723·
 1990 09 735741·
 1990 08 976975·
 1990 07 917661.
 1990 06 556986.
 1990 05 196082·
 1990 04 926109·
 1990 03 446116·
 1990 02 15985·
 1990 01 756025·
 1989 12  176118·
 1989 11  906213·
 1989 10  736198·
 1989 09  886053·
 1989 08  477596·
 1989 07  367929.
 1989 06  107184.
 1989 05  246126·
 1989 04  815996.
 1989 03  125932·
 1989 02  745826.
 1989 01  795789.
 1988 12 466277·
 1988 11 766223·
 1988 10 536159.
 1988 09 726162·
 1988 08 927669·
 1988 07 98146·
 1988 06 597368.
 1988 05 476091·
 1988 04 945879·
 1988 03 185756.
 1988 02 315886·
 1988 01 735908·
 1987 12  526262·
 1987 11  346132.
 1987 10  326070·
 1987 09  436006·
 1987 08  937679·
 1987 07  147808.
 1987 06  506902.
 1987 05  796073·
 1987 04  665769.
 1987 03  405685.
 1987 02  975624·
 1987 01  225596.
 1986 12 465889.
 1986 11 195869.
 1986 10 115966.
 1986 09 435821.
 1986 08 357242.
 1986 07 817639·
 1986 06 566819·
 1986 05 365915.
 1986 04 575719·
 1986 03 845693.
 1986 02 185529·
 1986 01 205439·
 1985 12  635772.
 1985 11  105781·
 1985 10  125700·
 1985 09  395726.
 1985 08  296999·
 1985 07  647528·
 1985 06  746553·
 1985 05  625808·
 1985 04  545705.
 1985 03  795665.
 1985 02  685540·
 1985 01  835555.
 1984 12 645777·
 1984 11 115707·
 1984 10 825735·
 1984 09 215678·
 1984 08 107041.
 1984 07 427627.
 1984 06 286941.
 1984 05 215770·
 1984 04 665618.
 1984 03 785422.
 1984 02 455385·
 1984 01 525434.
 1983 12  345793.
 1983 11  525743·
 1983 10  955623.
 1983 09  85652.
 1983 08  387046.
 1983 07  197393·
 1983 06  676681·
 1983 05  75467·
 1983 04  305339·
 1983 03  625263·
 1983 02  725220·
 1983 01  955371·
 1982 12 845652.
 1982 11 875626.
 1982 10 505673·
 1982 09 405667·
 1982 08 17035.
 1982 07 267408·
 1982 06 626665.
 1982 05 365957·
 1982 04 65766.
 1982 03 355681.
 1982 02 975610·
 1982 01 35743·
 1981 12  496169.
 1981 11  966235·
 1981 10  686300·
 1981 09  856251·
 1981 08  77889·
 1981 07  158287.
 1981 06  137320.
 1981 05  506582.
 1981 04  796543.
 1981 03  256358·
 1981 02  946318·
 1981 01  946432·
 1980 12 916866·
 1980 11 826765·
 1980 10 996835.
 1980 09 346652·
 1980 08 928159·
 1980 07 678759.
 1980 06 417924.
 1980 05 166914.
 1980 04 606850.
 1980 03 876858·
 1980 02 596795.
 1980 01 86971·
 1979 12  937504.
 1979 11  757369·
 1979 10  147305·
 1979 09  57149.
 1979 08  188597.
 1979 07  859220.
 1979 06  968421.
 1979 05  257210·
 1979 04  857167·
 1979 03  17130.
 1979 02  166974.
 1979 01  137097·
 1978 12 687429·
 1978 11 297378.
 1978 10 137419.
 1978 09 387172·
 1978 08 699005·
 1978 07 09245·
 1978 06 508524·
 1978 05 947323.
 1978 04 136994·
 1978 03 716714.
 1978 02 146641·
 1978 01 06747·
 1977 12  517255.
 1977 11  247122·
 1977 10  187117.
 1977 09  16743.
 1977 08  578619.
 1977 07  658831.
 1977 06  17973.
 1977 05  656805·
 1977 04  326645.
 1977 03  266430.
 1977 02  256295.
 1977 01  876181.
 1976 12 16609·
 1976 11 636550·
 1976 10 786618.
 1976 09 866366·
 1976 08 168012.
 1976 07 598530.
 1976 06 727468·
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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: Employment Level: Nonagriculture, Wage and Salary Workers, 16-19 years: 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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