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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 18-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 942676·
 2012 03 802682.
 2012 02 342680·
 2012 01 912611.
 2011 12  92755·
 2011 11  482619.
 2011 10  712594.
 2011 09  692498.
 2011 08  152927.
 2011 07  403092.
 2011 06  343025·
 2011 05  702746.
 2011 04  632700.
 2011 03  372700.
 2011 02  352602.
 2011 01  402523·
 2010 12 282576·
 2010 11 462563.
 2010 10 132494.
 2010 09 462439·
 2010 08 102931·
 2010 07 983222·
 2010 06 312977.
 2010 05 832713.
 2010 04 352727·
 2010 03 512703.
 2010 02 762567.
 2010 01 712462.
 2009 12  542641.
 2009 11  852619·
 2009 10  622622·
 2009 09  532585.
 2009 08  412976.
 2009 07  73398.
 2009 06  263307·
 2009 05  982900·
 2009 04  972922.
 2009 03  492859·
 2009 02  312854·
 2009 01  12920·
 2008 12 483048.
 2008 11 682975·
 2008 10 653044·
 2008 09 813081.
 2008 08 443534·
 2008 07 453839·
 2008 06 413789.
 2008 05 823470·
 2008 04 603379.
 2008 03 873176.
 2008 02 973099·
 2008 01 733128.
 2007 12  963267·
 2007 11  253227·
 2007 10  963175·
 2007 09  483139·
 2007 08  793428·
 2007 07  173957.
 2007 06  253702·
 2007 05  273191.
 2007 04  583149·
 2007 03  433298·
 2007 02  973274·
 2007 01  533229·
 2006 12 93365·
 2006 11 113279·
 2006 10 513249.
 2006 09 953111.
 2006 08 323757.
 2006 07 524069·
 2006 06 503896.
 2006 05 483430·
 2006 04 523327.
 2006 03 223407·
 2006 02 803279·
 2006 01 323273·
 2005 12  213379.
 2005 11  43330·
 2005 10  563312.
 2005 09  893263·
 2005 08  133794·
 2005 07  44004·
 2005 06  143809·
 2005 05  903359.
 2005 04  283237.
 2005 03  543233.
 2005 02  183088.
 2005 01  273152·
 2004 12 933373.
 2004 11 103341·
 2004 10 563298.
 2004 09 223228.
 2004 08 573803.
 2004 07 543946.
 2004 06 413845.
 2004 05 173442·
 2004 04 973243.
 2004 03 923197·
 2004 02 103126·
 2004 01 813105·
 2003 12  113210.
 2003 11  573202.
 2003 10  273275·
 2003 09  103107·
 2003 08  273455.
 2003 07  43687.
 2003 06  783609.
 2003 05  223283·
 2003 04  933197.
 2003 03  163197·
 2003 02  783221.
 2003 01  603201·
 2002 12 863519.
 2002 11 993486.
 2002 10 643619·
 2002 09 963463.
 2002 08 63851.
 2002 07 854151.
 2002 06 994065·
 2002 05 213722·
 2002 04 783545·
 2002 03 303584·
 2002 02 713561.
 2002 01 563502·
 2001 12  533680.
 2001 11  163688·
 2001 10  933645.
 2001 09  453518·
 2001 08  63918.
 2001 07  504447·
 2001 06  24277·
 2001 05  573687·
 2001 04  373767.
 2001 03  633910.
 2001 02  623838.
 2001 01  863842.
 2000 12 723989·
 2000 11 133905.
 2000 10 603918.
 2000 09 513727·
 2000 08 614345·
 2000 07 794722.
 2000 06 94512.
 2000 05 964071.
 2000 04 804005·
 2000 03 703882·
 2000 02 483814·
 2000 01 913798·
 1999 12  294012·
 1999 11  173893.
 1999 10  383848·
 1999 09  293651·
 1999 08  344260.
 1999 07  774609.
 1999 06  694340.
 1999 05  304077·
 1999 04  443820.
 1999 03  313878.
 1999 02  533799.
 1999 01  383712.
 1998 12 353900.
 1998 11 853817·
 1998 10 273656·
 1998 09 223662.
 1998 08 84262·
 1998 07 724523.
 1998 06 554391·
 1998 05 763885·
 1998 04 883688·
 1998 03 483741·
 1998 02 243656.
 1998 01 203620·
 1997 12  253698.
 1997 11  953626.
 1997 10  483486·
 1997 09  973368·
 1997 08  953952.
 1997 07  194232.
 1997 06  643934.
 1997 05  763652·
 1997 04  983504·
 1997 03  523510·
 1997 02  363361·
 1997 01  523307·
 1996 12 603384·
 1996 11 513329·
 1996 10 503373·
 1996 09 443373.
 1996 08 313838·
 1996 07 974159·
 1996 06 213854.
 1996 05 963448·
 1996 04 853301.
 1996 03 973263·
 1996 02 853224·
 1996 01 773183·
 1995 12  253335.
 1995 11  833300·
 1995 10  63324·
 1995 09  813273.
 1995 08  753915.
 1995 07  104006.
 1995 06  723785·
 1995 05  283357.
 1995 04  853355.
 1995 03  623371.
 1995 02  953187·
 1995 01  613196·
 1994 12 313207·
 1994 11 443176.
 1994 10 143078·
 1994 09 503022·
 1994 08 133640.
 1994 07 893845·
 1994 06 913727·
 1994 05 893201.
 1994 04 573183·
 1994 03 523076.
 1994 02 153106·
 1994 01 973074.
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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: 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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