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 Series Title: Employment Level: Nonagriculture, Other Industries Private 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 12529·
 2012 03 80511·
 2012 02 44485·
 2012 01 94486.
 2011 12  44508·
 2011 11  12519.
 2011 10  14542·
 2011 09  1575.
 2011 08  0593·
 2011 07  98721·
 2011 06  42627.
 2011 05  62498·
 2011 04  28442·
 2011 03  21522·
 2011 02  40506·
 2011 01  23519.
 2010 12 5579·
 2010 11 87555·
 2010 10 45542.
 2010 09 52592·
 2010 08 30691.
 2010 07 28740·
 2010 06 22630.
 2010 05 44584·
 2010 04 30549·
 2010 03 0554·
 2010 02 57530·
 2010 01 16548·
 2009 12  54551·
 2009 11  85568.
 2009 10  64613·
 2009 09  15680·
 2009 08  78833·
 2009 07  89887·
 2009 06  80819·
 2009 05  8687·
 2009 04  2641·
 2009 03  44626·
 2009 02  69658.
 2009 01  90633.
 2008 12 52732·
 2008 11 8699.
 2008 10 18797·
 2008 09 80829·
 2008 08 79899.
 2008 07 611002.
 2008 06 40894.
 2008 05 23808·
 2008 04 56790·
 2008 03 10798.
 2008 02 74748·
 2008 01 86724.
 2007 12  86846.
 2007 11  87855·
 2007 10  81978.
 2007 09  65915.
 2007 08  931074·
 2007 07  481257.
 2007 06  501181.
 2007 05  79908.
 2007 04  27960·
 2007 03  75905.
 2007 02  94869.
 2007 01  72953.
 2006 12 651050.
 2006 11 751090·
 2006 10 501049·
 2006 09 121054.
 2006 08 61224.
 2006 07 791352·
 2006 06 821301·
 2006 05 941015·
 2006 04 76917.
 2006 03 45907.
 2006 02 78852·
 2006 01 38835.
 2005 12  25943.
 2005 11  52953.
 2005 10  49938.
 2005 09  87947.
 2005 08  291116.
 2005 07  101134.
 2005 06  351023.
 2005 05  10874.
 2005 04  87892.
 2005 03  47911.
 2005 02  98872·
 2005 01  2863·
 2004 12 27910·
 2004 11 23996.
 2004 10 26962·
 2004 09 81919.
 2004 08 961029·
 2004 07 181177·
 2004 06 32971·
 2004 05 93802·
 2004 04 73828.
 2004 03 38792.
 2004 02 53846.
 2004 01 5868.
 2003 12  55975.
 2003 11  161000·
 2003 10  54975·
 2003 09  13985.
 2003 08  701199·
 2003 07  81273·
 2003 06  201127·
 2003 05  35932·
 2003 04  67869.
 2003 03  96871·
 2003 02  67933·
 2003 01  15908·
 2002 12 22919.
 2002 11 86935·
 2002 10 301020.
 2002 09 231057.
 2002 08 351152.
 2002 07 101345·
 2002 06 741183·
 2002 05 53968.
 2002 04 31913·
 2002 03 25908.
 2002 02 85890·
 2002 01 23865·
 2001 12  611038·
 2001 11  121055.
 2001 10  781110.
 2001 09  791159.
 2001 08  11205·
 2001 07  781527.
 2001 06  901339·
 2001 05  881139·
 2001 04  501096.
 2001 03  551096.
 2001 02  831101.
 2001 01  461015.
 2000 12 351143·
 2000 11 991149·
 2000 10 461182·
 2000 09 711244.
 2000 08 51439·
 2000 07 911507·
 2000 06 921482·
 2000 05 81266·
 2000 04 351199·
 2000 03 401247·
 2000 02 581238.
 2000 01 261165·
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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.
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      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, Other Industries Private 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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