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 Series Title: Employment Level: Nonagriculture, Other Industries Private Wage and Salary Workers, 16-19 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 631862.
 2012 03 961766·
 2012 02 571700.
 2012 01 611702·
 2011 12  501846.
 2011 11  621778·
 2011 10  431823.
 2011 09  661791.
 2011 08  832020.
 2011 07  92196·
 2011 06  122074.
 2011 05  501778·
 2011 04  151686.
 2011 03  161803.
 2011 02  761771·
 2011 01  581740.
 2010 12 201826.
 2010 11 921863.
 2010 10 721801·
 2010 09 591769.
 2010 08 992103·
 2010 07 682293·
 2010 06 652080.
 2010 05 481886·
 2010 04 781843·
 2010 03 991806·
 2010 02 411736·
 2010 01 431694.
 2009 12  51793.
 2009 11  691804.
 2009 10  141901·
 2009 09  881942·
 2009 08  582260·
 2009 07  832499.
 2009 06  212407.
 2009 05  542052·
 2009 04  362031·
 2009 03  731952·
 2009 02  262015.
 2009 01  331955·
 2008 12 642231·
 2008 11 962191·
 2008 10 162326·
 2008 09 462398.
 2008 08 942690·
 2008 07 342871.
 2008 06 52787.
 2008 05 352542.
 2008 04 02472.
 2008 03 932361.
 2008 02 292242.
 2008 01 712232·
 2007 12  832446.
 2007 11  52435.
 2007 10  522542.
 2007 09  482500.
 2007 08  692814.
 2007 07  253201·
 2007 06  623011.
 2007 05  842525·
 2007 04  72533·
 2007 03  382563·
 2007 02  722479.
 2007 01  232545.
 2006 12 732771.
 2006 11 472723·
 2006 10 192729.
 2006 09 362652·
 2006 08 673119·
 2006 07 863347.
 2006 06 673199·
 2006 05 162718·
 2006 04 162604.
 2006 03 112640·
 2006 02 42515.
 2006 01 812491·
 2005 12  682722.
 2005 11  42664.
 2005 10  422597.
 2005 09  772570.
 2005 08  12976·
 2005 07  713134·
 2005 06  182902·
 2005 05  732493·
 2005 04  132431.
 2005 03  432503.
 2005 02  972398·
 2005 01  622423·
 2004 12 312573.
 2004 11 792682·
 2004 10 662616·
 2004 09 642513.
 2004 08 42949.
 2004 07 583220·
 2004 06 382949·
 2004 05 232547.
 2004 04 92484.
 2004 03 882444·
 2004 02 512416·
 2004 01 72452·
 2003 12  452590·
 2003 11  12555.
 2003 10  672609·
 2003 09  122548·
 2003 08  382933.
 2003 07  533100.
 2003 06  752935·
 2003 05  562549.
 2003 04  392411.
 2003 03  262408.
 2003 02  872480·
 2003 01  842487.
 2002 12 222677·
 2002 11 252721·
 2002 10 412892.
 2002 09 642815·
 2002 08 883091·
 2002 07 843405.
 2002 06 13173·
 2002 05 912828·
 2002 04 632667.
 2002 03 592757·
 2002 02 542743.
 2002 01 842652.
 2001 12  972866.
 2001 11  312879·
 2001 10  132956.
 2001 09  863010.
 2001 08  653264·
 2001 07  73822·
 2001 06  153519.
 2001 05  683028·
 2001 04  683034.
 2001 03  183136.
 2001 02  253041.
 2001 01  233017·
 2000 12 313221·
 2000 11 223144·
 2000 10 293203·
 2000 09 713146.
 2000 08 43660·
 2000 07 993991·
 2000 06 403829·
 2000 05 553384·
 2000 04 643269.
 2000 03 573263.
 2000 02 973152.
 2000 01 453068.
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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, Other Industries Private Wage and Salary Workers, 16-19 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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