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 Series Title: Employment Level: Nonagriculture, Other Industries Private 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 812656.
 2012 03 812650·
 2012 02 582660.
 2012 01 982600·
 2011 12  82731.
 2011 11  982603·
 2011 10  822555·
 2011 09  02466.
 2011 08  762874·
 2011 07  903030.
 2011 06  812976·
 2011 05  752713·
 2011 04  352669.
 2011 03  362661·
 2011 02  692572·
 2011 01  692496·
 2010 12 622552·
 2010 11 442548.
 2010 10 842473.
 2010 09 502416·
 2010 08 562889·
 2010 07 453188·
 2010 06 892951.
 2010 05 112694·
 2010 04 432703.
 2010 03 972687.
 2010 02 712552·
 2010 01 732439·
 2009 12  732629·
 2009 11  802593·
 2009 10  432602·
 2009 09  792558·
 2009 08  222932.
 2009 07  13362·
 2009 06  443264.
 2009 05  992887.
 2009 04  902910.
 2009 03  932849·
 2009 02  362830.
 2009 01  262884·
 2008 12 23016.
 2008 11 112948.
 2008 10 73021.
 2008 09 803057.
 2008 08 103477.
 2008 07 373757·
 2008 06 693750·
 2008 05 53445.
 2008 04 873363·
 2008 03 783156·
 2008 02 623074.
 2008 01 703102.
 2007 12  363218.
 2007 11  663200.
 2007 10  473146·
 2007 09  703116.
 2007 08  803399.
 2007 07  573899·
 2007 06  133653.
 2007 05  223154·
 2007 04  713114·
 2007 03  323269·
 2007 02  723248·
 2007 01  733202·
 2006 12 833342·
 2006 11 993252·
 2006 10 633224.
 2006 09 893095.
 2006 08 183702·
 2006 07 893993.
 2006 06 483861.
 2006 05 673394.
 2006 04 03306.
 2006 03 593377·
 2006 02 153244·
 2006 01 243240.
 2005 12  803347.
 2005 11  903292·
 2005 10  773264.
 2005 09  63225.
 2005 08  343743·
 2005 07  903946·
 2005 06  733751·
 2005 05  813319·
 2005 04  613220·
 2005 03  893222.
 2005 02  643052·
 2005 01  433114.
 2004 12 883326.
 2004 11 443292.
 2004 10 383276.
 2004 09 113205.
 2004 08 643740.
 2004 07 373885.
 2004 06 103779·
 2004 05 303413.
 2004 04 653201·
 2004 03 743156.
 2004 02 153082·
 2004 01 693074·
 2003 12  913185·
 2003 11  883163·
 2003 10  193227·
 2003 09  223062.
 2003 08  683397.
 2003 07  353626·
 2003 06  73553·
 2003 05  83261·
 2003 04  473174.
 2003 03  963176.
 2003 02  943197·
 2003 01  713172·
 2002 12 13479·
 2002 11 783447.
 2002 10 173576.
 2002 09 803434.
 2002 08 333813.
 2002 07 134097.
 2002 06 384039.
 2002 05 303703.
 2002 04 673518.
 2002 03 573567·
 2002 02 473540.
 2002 01 403488.
 2001 12  533641·
 2001 11  933651·
 2001 10  553606·
 2001 09  533495.
 2001 08  683883·
 2001 07  264416.
 2001 06  14256.
 2001 05  393655·
 2001 04  113729.
 2001 03  883875·
 2001 02  473807.
 2001 01  923807.
 2000 12 73972.
 2000 11 373886.
 2000 10 823902·
 2000 09 313710·
 2000 08 94316.
 2000 07 534698·
 2000 06 184471.
 2000 05 14032·
 2000 04 893978.
 2000 03 433845.
 2000 02 943783.
 2000 01 703756·
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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

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      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, 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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