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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 16-17 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8536.
 2012 03 7511.
 2012 02 46489·
 2012 01 43486.
 2011 12  35508·
 2011 11  64519.
 2011 10  74546.
 2011 09  37577·
 2011 08  9597.
 2011 07  1726.
 2011 06  83628·
 2011 05  12503.
 2011 04  82442·
 2011 03  99527·
 2011 02  87509.
 2011 01  11519·
 2010 12 28579.
 2010 11 66556·
 2010 10 25542·
 2010 09 3592·
 2010 08 47695.
 2010 07 32740.
 2010 06 58633.
 2010 05 82587.
 2010 04 66553·
 2010 03 54554·
 2010 02 75530·
 2010 01 68549·
 2009 12  34556.
 2009 11  14568·
 2009 10  88616.
 2009 09  4691.
 2009 08  27844.
 2009 07  19897·
 2009 06  36829·
 2009 05  60690.
 2009 04  46644.
 2009 03  0631.
 2009 02  82662·
 2009 01  30639.
 2008 12 15736.
 2008 11 14699·
 2008 10 12802·
 2008 09 33833·
 2008 08 85910·
 2008 07 421014.
 2008 06 41902·
 2008 05 13817.
 2008 04 32790·
 2008 03 91802.
 2008 02 6752.
 2008 01 40729.
 2007 12  56850.
 2007 11  94856.
 2007 10  70988·
 2007 09  7924·
 2007 08  821076·
 2007 07  51260·
 2007 06  211184.
 2007 05  34908·
 2007 04  61966·
 2007 03  8907·
 2007 02  71879·
 2007 01  64959·
 2006 12 671053·
 2006 11 81096·
 2006 10 591052.
 2006 09 671060.
 2006 08 31232·
 2006 07 381355.
 2006 06 481308.
 2006 05 371025.
 2006 04 92923·
 2006 03 53915·
 2006 02 25857·
 2006 01 94839·
 2005 12  85943.
 2005 11  37959.
 2005 10  3941.
 2005 09  81953.
 2005 08  581118.
 2005 07  941136·
 2005 06  211030·
 2005 05  67880·
 2005 04  11894.
 2005 03  58911·
 2005 02  40875·
 2005 01  46866·
 2004 12 69910·
 2004 11 83996.
 2004 10 50964·
 2004 09 39921.
 2004 08 831042.
 2004 07 541183·
 2004 06 62980.
 2004 05 88808.
 2004 04 28831·
 2004 03 74799·
 2004 02 16860·
 2004 01 64882·
 2003 12  5980·
 2003 11  781007·
 2003 10  72979·
 2003 09  59988·
 2003 08  391207·
 2003 07  201287.
 2003 06  211139.
 2003 05  94935.
 2003 04  80871·
 2003 03  83871·
 2003 02  74935.
 2003 01  12912.
 2002 12 4927.
 2002 11 74943.
 2002 10 691023·
 2002 09 831062.
 2002 08 111153.
 2002 07 231355·
 2002 06 691196·
 2002 05 0972·
 2002 04 27915.
 2002 03 89909.
 2002 02 62895·
 2002 01 84866.
 2001 12  11039·
 2001 11  511056.
 2001 10  621113.
 2001 09  771165.
 2001 08  101213·
 2001 07  181537.
 2001 06  51350·
 2001 05  501142·
 2001 04  531101.
 2001 03  201096·
 2001 02  551101.
 2001 01  951019.
 2000 12 571143·
 2000 11 141149.
 2000 10 01184.
 2000 09 331248.
 2000 08 711443.
 2000 07 821512.
 2000 06 521499·
 2000 05 81271·
 2000 04 711206.
 2000 03 311258·
 2000 02 501241.
 2000 01 891173·
 1999 12  571228.
 1999 11  911188.
 1999 10  561311.
 1999 09  691272.
 1999 08  551497.
 1999 07  211653.
 1999 06  581412·
 1999 05  681266·
 1999 04  151170.
 1999 03  11118·
 1999 02  691132·
 1999 01  301093.
 1998 12 121213.
 1998 11 381174.
 1998 10 281169·
 1998 09 251233.
 1998 08 471397·
 1998 07 631513·
 1998 06 961350.
 1998 05 461179.
 1998 04 451167.
 1998 03 351141·
 1998 02 621087.
 1998 01 121106·
 1997 12  571181.
 1997 11  331207.
 1997 10  391269.
 1997 09  691231.
 1997 08  581394·
 1997 07  641487·
 1997 06  641347·
 1997 05  841144.
 1997 04  491082·
 1997 03  611023·
 1997 02  11074·
 1997 01  52974.
 1996 12 541115·
 1996 11 801132.
 1996 10 371234.
 1996 09 921183·
 1996 08 241297.
 1996 07 21421.
 1996 06 851270.
 1996 05 481085·
 1996 04 351008.
 1996 03 35987·
 1996 02 84970.
 1996 01 90966·
 1995 12  871107·
 1995 11  91091·
 1995 10  951119.
 1995 09  111155.
 1995 08  51336.
 1995 07  821454·
 1995 06  71330·
 1995 05  311060.
 1995 04  401017·
 1995 03  35958.
 1995 02  34984·
 1995 01  93968·
 1994 12 671132·
 1994 11 751136.
 1994 10 111163.
 1994 09 681110·
 1994 08 861389.
 1994 07 331426·
 1994 06 41223.
 1994 05 491044.
 1994 04 23959.
 1994 03 66866·
 1994 02 99900·
 1994 01 55920·
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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, Private Industries Wage and Salary Workers, 16-17 years, Men: 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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