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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 611151·
 2012 03 171101.
 2012 02 521067·
 2012 01 171087.
 2011 12  901139·
 2011 11  491257·
 2011 10  751322.
 2011 09  791284·
 2011 08  541347·
 2011 07  471486·
 2011 06  681323.
 2011 05  91074·
 2011 04  31009·
 2011 03  951043.
 2011 02  431058.
 2011 01  511084.
 2010 12 141263·
 2010 11 971254·
 2010 10 391281·
 2010 09 731284.
 2010 08 861443.
 2010 07 871451.
 2010 06 181373.
 2010 05 701257.
 2010 04 441215·
 2010 03 211159·
 2010 02 681216.
 2010 01 611239·
 2009 12  391281·
 2009 11  811263·
 2009 10  31315.
 2009 09  901449·
 2009 08  471709·
 2009 07  721823·
 2009 06  591724·
 2009 05  271521·
 2009 04  681420.
 2009 03  271444·
 2009 02  01562.
 2009 01  641438·
 2008 12 271633·
 2008 11 21647·
 2008 10 141799·
 2008 09 231841·
 2008 08 741959.
 2008 07 792091.
 2008 06 141904.
 2008 05 461744·
 2008 04 861780·
 2008 03 651768.
 2008 02 371739·
 2008 01 31742.
 2007 12  621964.
 2007 11  922006·
 2007 10  472110.
 2007 09  872030.
 2007 08  272308.
 2007 07  152540·
 2007 06  312366·
 2007 05  191974.
 2007 04  331964.
 2007 03  161906·
 2007 02  31910.
 2007 01  422014·
 2006 12 552293·
 2006 11 32303.
 2006 10 992327·
 2006 09 262255.
 2006 08 922473·
 2006 07 72705.
 2006 06 842562·
 2006 05 642145.
 2006 04 712034·
 2006 03 841956·
 2006 02 442020.
 2006 01 761933·
 2005 12  412133.
 2005 11  162097·
 2005 10  932088.
 2005 09  52119.
 2005 08  782397.
 2005 07  102508·
 2005 06  692291.
 2005 05  211925·
 2005 04  841874·
 2005 03  981958.
 2005 02  351948·
 2005 01  191947·
 2004 12 812020.
 2004 11 352031.
 2004 10 782004·
 2004 09 171966.
 2004 08 232177.
 2004 07 42450·
 2004 06 112095·
 2004 05 591832.
 2004 04 831860·
 2004 03 121801·
 2004 02 731927·
 2004 01 141968·
 2003 12  622022.
 2003 11  892122·
 2003 10  252039.
 2003 09  782123·
 2003 08  852451·
 2003 07  932607.
 2003 06  572357.
 2003 05  682035·
 2003 04  31951·
 2003 03  51916·
 2003 02  811948.
 2003 01  291979·
 2002 12 922006·
 2002 11 322010·
 2002 10 342148·
 2002 09 302202·
 2002 08 512392·
 2002 07 62658.
 2002 06 802396.
 2002 05 651945.
 2002 04 61927·
 2002 03 832003·
 2002 02 71970.
 2002 01 541903.
 2001 12  82177·
 2001 11  442258·
 2001 10  282302·
 2001 09  402329·
 2001 08  312473·
 2001 07  972934.
 2001 06  792674.
 2001 05  932324.
 2001 04  772217.
 2001 03  732196·
 2001 02  252244·
 2001 01  62201·
 2000 12 702528·
 2000 11 292460.
 2000 10 532418.
 2000 09 02505.
 2000 08 612860.
 2000 07 462987.
 2000 06 762898.
 2000 05 172407·
 2000 04 262397·
 2000 03 312386.
 2000 02 322348·
 2000 01 282366·
 1999 12  642513.
 1999 11  162430·
 1999 10  842564·
 1999 09  262500.
 1999 08  22881.
 1999 07  573186·
 1999 06  202732·
 1999 05  302456.
 1999 04  892379.
 1999 03  362295.
 1999 02  522315.
 1999 01  852251.
 1998 12 12531.
 1998 11 592394·
 1998 10 192407·
 1998 09 602525·
 1998 08 382819.
 1998 07 593019.
 1998 06 832706·
 1998 05 492364·
 1998 04 262343.
 1998 03 922337·
 1998 02 332271·
 1998 01 712287.
 1997 12  152389.
 1997 11  392379.
 1997 10  802416.
 1997 09  702385·
 1997 08  812703.
 1997 07  72896.
 1997 06  642646·
 1997 05  152249·
 1997 04  232211.
 1997 03  282112·
 1997 02  472137.
 1997 01  12093.
 1996 12 682367·
 1996 11 582382·
 1996 10 162476.
 1996 09 462418·
 1996 08 652755.
 1996 07 802924·
 1996 06 852630.
 1996 05 952250.
 1996 04 912131.
 1996 03 992088.
 1996 02 922038·
 1996 01 172058·
 1995 12  452275.
 1995 11  472264·
 1995 10  992262·
 1995 09  62295.
 1995 08  522731.
 1995 07  822819.
 1995 06  952608.
 1995 05  812173·
 1995 04  642037·
 1995 03  841981·
 1995 02  922023.
 1995 01  872023.
 1994 12 562290·
 1994 11 602226.
 1994 10 292259.
 1994 09 922180.
 1994 08 282718·
 1994 07 422749·
 1994 06 672432·
 1994 05 902109·
 1994 04 51933.
 1994 03 871822.
 1994 02 951862·
 1994 01 11921·
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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: 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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