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 Series Title: Employment Level: Nonagriculture, Private Industries 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 313827.
 2012 03 663783.
 2012 02 33747·
 2012 01 643698·
 2011 12  943894·
 2011 11  423876.
 2011 10  573916.
 2011 09  183782.
 2011 08  864274.
 2011 07  794578.
 2011 06  744348·
 2011 05  333820·
 2011 04  573709·
 2011 03  593743·
 2011 02  683660.
 2011 01  543607·
 2010 12 833839.
 2010 11 883817.
 2010 10 753774·
 2010 09 493723·
 2010 08 634373.
 2010 07 984674.
 2010 06 604350·
 2010 05 133970·
 2010 04 243942.
 2010 03 453862.
 2010 02 103783.
 2010 01 643701.
 2009 12  163923·
 2009 11  123881.
 2009 10  383937·
 2009 09  484034·
 2009 08  144685·
 2009 07  45221·
 2009 06  815031.
 2009 05  324421.
 2009 04  194342·
 2009 03  544302·
 2009 02  34416.
 2009 01  114357.
 2008 12 554681·
 2008 11 184623.
 2008 10 924844·
 2008 09 54923.
 2008 08 745493·
 2008 07 775930.
 2008 06 605693.
 2008 05 575214·
 2008 04 515159.
 2008 03 394944·
 2008 02 454838.
 2008 01 374871.
 2007 12  855231·
 2007 11  355234·
 2007 10  115285·
 2007 09  395169·
 2007 08  45736·
 2007 07  226496.
 2007 06  446068·
 2007 05  815164.
 2007 04  565113.
 2007 03  815204.
 2007 02  595184.
 2007 01  85243.
 2006 12 175659.
 2006 11 195582.
 2006 10 925576.
 2006 09 905365.
 2006 08 896230.
 2006 07 686774.
 2006 06 86458.
 2006 05 205574.
 2006 04 955361.
 2006 03 835363.
 2006 02 935299·
 2006 01 175206.
 2005 12  875512·
 2005 11  485427.
 2005 10  605400.
 2005 09  255382·
 2005 08  396192·
 2005 07  686512.
 2005 06  486101.
 2005 05  155284.
 2005 04  535112.
 2005 03  755191.
 2005 02  195036·
 2005 01  795099.
 2004 12 545393·
 2004 11 265372.
 2004 10 625302.
 2004 09 375194·
 2004 08 925980·
 2004 07 36396·
 2004 06 885940.
 2004 05 335274.
 2004 04 425103.
 2004 03 114998·
 2004 02 375053.
 2004 01 375073·
 2003 12  45232·
 2003 11  835324.
 2003 10  705313.
 2003 09  425230.
 2003 08  65906.
 2003 07  766294·
 2003 06  775966.
 2003 05  675318.
 2003 04  955148.
 2003 03  705113.
 2003 02  695169.
 2003 01  585180.
 2002 12 495525·
 2002 11 735496.
 2002 10 845767.
 2002 09 825665·
 2002 08 676243.
 2002 07 176809·
 2002 06 866461·
 2002 05 345667.
 2002 04 755472·
 2002 03 575587.
 2002 02 625531.
 2002 01 335404.
 2001 12  235858·
 2001 11  765946·
 2001 10  265947·
 2001 09  235847·
 2001 08  866391·
 2001 07  807380.
 2001 06  156951.
 2001 05  746011.
 2001 04  665984.
 2001 03  16106·
 2001 02  916082.
 2001 01  796043.
 2000 12 876518·
 2000 11 956365·
 2000 10 446336.
 2000 09 586232.
 2000 08 997204.
 2000 07 457709.
 2000 06 857411.
 2000 05 546479·
 2000 04 796403.
 2000 03 566268·
 2000 02 536162.
 2000 01 386164.
 1999 12  266525.
 1999 11  606323·
 1999 10  116411·
 1999 09  36151.
 1999 08  667141·
 1999 07  157796.
 1999 06  467072.
 1999 05  686533·
 1999 04  506198·
 1999 03  16173·
 1999 02  726114·
 1999 01  775963.
 1998 12 526431.
 1998 11 266211.
 1998 10 256062.
 1998 09 06187·
 1998 08 737082.
 1998 07 217542·
 1998 06 707098.
 1998 05 306248·
 1998 04 396031·
 1998 03 426078.
 1998 02 945927.
 1998 01 885907.
 1997 12  996087·
 1997 11  716005.
 1997 10  105902·
 1997 09  165754·
 1997 08  306655·
 1997 07  157128·
 1997 06  566579·
 1997 05  845901.
 1997 04  315715.
 1997 03  65622·
 1997 02  945498·
 1997 01  865399·
 1996 12 295751.
 1996 11 05711.
 1996 10 135849·
 1996 09 425791.
 1996 08 726593·
 1996 07 797083·
 1996 06 266484·
 1996 05 955697·
 1996 04 385432·
 1996 03 495352.
 1996 02 705261·
 1996 01 155242.
 1995 12  265610.
 1995 11  425564·
 1995 10  85586.
 1995 09  965568·
 1995 08  616646·
 1995 07  156826·
 1995 06  286394.
 1995 05  575531.
 1995 04  955391.
 1995 03  495351·
 1995 02  435210·
 1995 01  415220·
 1994 12 15497.
 1994 11 525402.
 1994 10 925337·
 1994 09 195201·
 1994 08 826357·
 1994 07 546594.
 1994 06 366159·
 1994 05 845310.
 1994 04 625116.
 1994 03 124898·
 1994 02 644969.
 1994 01 564995·
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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, 16-19 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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