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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 18-19 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 151334·
 2012 03 941255.
 2012 02 281215·
 2012 01 571219·
 2011 12  471338·
 2011 11  621259·
 2011 10  731283.
 2011 09  761220·
 2011 08  511430·
 2011 07  361478·
 2011 06  251450.
 2011 05  991283·
 2011 04  791248.
 2011 03  951285.
 2011 02  971269·
 2011 01  721221·
 2010 12 51251·
 2010 11 481308·
 2010 10 261259·
 2010 09 631185·
 2010 08 291420·
 2010 07 251559·
 2010 06 771450·
 2010 05 661308·
 2010 04 781298·
 2010 03 841255·
 2010 02 371206.
 2010 01 01146·
 2009 12  21242·
 2009 11  61236.
 2009 10  181288.
 2009 09  111263.
 2009 08  751428.
 2009 07  971614·
 2009 06  581590·
 2009 05  651365.
 2009 04  991390·
 2009 03  891325·
 2009 02  211356.
 2009 01  591322.
 2008 12 981499·
 2008 11 391493·
 2008 10 951530·
 2008 09 111570.
 2008 08 231797.
 2008 07 291879.
 2008 06 911896·
 2008 05 651736.
 2008 04 501685.
 2008 03 641569.
 2008 02 481500.
 2008 01 911511.
 2007 12  791604.
 2007 11  781583·
 2007 10  301566·
 2007 09  811587.
 2007 08  351748.
 2007 07  261954.
 2007 06  231832.
 2007 05  571620·
 2007 04  691581·
 2007 03  901659.
 2007 02  411613.
 2007 01  611599·
 2006 12 561721.
 2006 11 771636.
 2006 10 221681·
 2006 09 631598.
 2006 08 961895.
 2006 07 181999·
 2006 06 281898.
 2006 05 571709.
 2006 04 151689.
 2006 03 701739·
 2006 02 481668·
 2006 01 621657.
 2005 12  631780·
 2005 11  141715·
 2005 10  941668·
 2005 09  231623.
 2005 08  161862.
 2005 07  582013·
 2005 06  41883.
 2005 05  81619·
 2005 04  741539.
 2005 03  331592.
 2005 02  411526·
 2005 01  121563.
 2004 12 631671.
 2004 11 951695.
 2004 10 931661.
 2004 09 531601.
 2004 08 321928.
 2004 07 262045.
 2004 06 731981·
 2004 05 761745.
 2004 04 571660·
 2004 03 331652·
 2004 02 191573·
 2004 01 501585.
 2003 12  391620.
 2003 11  481565.
 2003 10  931646.
 2003 09  691570·
 2003 08  31741·
 2003 07  271841·
 2003 06  841817·
 2003 05  531622·
 2003 04  991547.
 2003 03  511546.
 2003 02  51553·
 2003 01  451583.
 2002 12 31763.
 2002 11 281790.
 2002 10 921880·
 2002 09 151764.
 2002 08 151944.
 2002 07 892074.
 2002 06 101995·
 2002 05 561868·
 2002 04 611763·
 2002 03 911852·
 2002 02 461854.
 2002 01 881788.
 2001 12  901829.
 2001 11  141828·
 2001 10  131854·
 2001 09  551858.
 2001 08  792064.
 2001 07  672306.
 2001 06  492186.
 2001 05  271891·
 2001 04  281944·
 2001 03  812040.
 2001 02  171943·
 2001 01  962006.
 2000 12 612078.
 2000 11 111995·
 2000 10 42022·
 2000 09 831904·
 2000 08 312222·
 2000 07 412486·
 2000 06 242352·
 2000 05 322120.
 2000 04 112076·
 2000 03 762021·
 2000 02 141918·
 2000 01 111907·
 1999 12  22022·
 1999 11  481950·
 1999 10  382011·
 1999 09  151919.
 1999 08  302160·
 1999 07  132364·
 1999 06  822243.
 1999 05  632082·
 1999 04  451959.
 1999 03  551941.
 1999 02  611861·
 1999 01  991822·
 1998 12 221939.
 1998 11 781963.
 1998 10 121843·
 1998 09 931818.
 1998 08 622134.
 1998 07 152273.
 1998 06 982237.
 1998 05 371947.
 1998 04 911867·
 1998 03 221817.
 1998 02 71787.
 1998 01 531761·
 1997 12  581862.
 1997 11  821886·
 1997 10  511815·
 1997 09  831724·
 1997 08  391964·
 1997 07  02117·
 1997 06  691973·
 1997 05  971864.
 1997 04  341726·
 1997 03  81724.
 1997 02  231691·
 1997 01  891669·
 1996 12 691676·
 1996 11 631648·
 1996 10 21705.
 1996 09 771736.
 1996 08 951996·
 1996 07 472135·
 1996 06 181980.
 1996 05 81770·
 1996 04 861717·
 1996 03 661659·
 1996 02 91656·
 1996 01 481634.
 1995 12  421694·
 1995 11  511696·
 1995 10  381686.
 1995 09  931699.
 1995 08  911984·
 1995 07  612029.
 1995 06  931865.
 1995 05  621676·
 1995 04  811697·
 1995 03  751672·
 1995 02  861607.
 1995 01  981612.
 1994 12 881590.
 1994 11 11601.
 1994 10 571592·
 1994 09 721571.
 1994 08 121895·
 1994 07 701926.
 1994 06 671862·
 1994 05 761565·
 1994 04 801568·
 1994 03 401542.
 1994 02 41572.
 1994 01 311535·
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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, 18-19 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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