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 Series Title: Employment Level: Nonagriculture, Other Industries Private 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 263798·
 2012 03 43742·
 2012 02 13715.
 2012 01 783682.
 2011 12  183852.
 2011 11  53846.
 2011 10  283856·
 2011 09  23735.
 2011 08  264192.
 2011 07  564480.
 2011 06  54266·
 2011 05  743775.
 2011 04  13671.
 2011 03  363690.
 2011 02  463612·
 2011 01  393569·
 2010 12 183799.
 2010 11 533777.
 2010 10 893733·
 2010 09 663674.
 2010 08 774288.
 2010 07 384602·
 2010 06 964294.
 2010 05 493934.
 2010 04 43905·
 2010 03 493837·
 2010 02 563756·
 2010 01 83662·
 2009 12  503890·
 2009 11  663833.
 2009 10  813892·
 2009 09  853984.
 2009 08  894585·
 2009 07  965136·
 2009 06  94932·
 2009 05  514389·
 2009 04  224319·
 2009 03  724270.
 2009 02  44364·
 2009 01  04304.
 2008 12 754624·
 2008 11 494571·
 2008 10 524784.
 2008 09 514859·
 2008 08 975390.
 2008 07 95801.
 2008 06 685611.
 2008 05 475164·
 2008 04 655127·
 2008 03 594895·
 2008 02 884785·
 2008 01 594818.
 2007 12  795143·
 2007 11  315171.
 2007 10  765220.
 2007 09  805117.
 2007 08  635661.
 2007 07  816390.
 2007 06  205981·
 2007 05  295111·
 2007 04  695050.
 2007 03  905147·
 2007 02  325112.
 2007 01  515194·
 2006 12 725584·
 2006 11 665504·
 2006 10 505510.
 2006 09 145313·
 2006 08 726104.
 2006 07 406627·
 2006 06 386361.
 2006 05 135505.
 2006 04 945298·
 2006 03 695294.
 2006 02 835208.
 2006 01 675120.
 2005 12  905431.
 2005 11  345341.
 2005 10  985307.
 2005 09  205318·
 2005 08  346085·
 2005 07  426376·
 2005 06  215978·
 2005 05  415193·
 2005 04  265066·
 2005 03  255139·
 2005 02  144961.
 2005 01  255033·
 2004 12 935310.
 2004 11 395287·
 2004 10 675229.
 2004 09 905131·
 2004 08 845832·
 2004 07 666250.
 2004 06 915807·
 2004 05 805197·
 2004 04 765011.
 2004 03 134912.
 2004 02 244936.
 2004 01 664966.
 2003 12  675167·
 2003 11  115245.
 2003 10  305231.
 2003 09  405149·
 2003 08  855793.
 2003 07  166130·
 2003 06  975836·
 2003 05  225251·
 2003 04  785090.
 2003 03  115071·
 2003 02  365115·
 2003 01  575131.
 2002 12 235469·
 2002 11 35423·
 2002 10 865704·
 2002 09 135615.
 2002 08 206181·
 2002 07 226713·
 2002 06 116385.
 2002 05 845616·
 2002 04 945422·
 2002 03 255542.
 2002 02 975478·
 2002 01 905370·
 2001 12  955804.
 2001 11  945894.
 2001 10  585884.
 2001 09  755802.
 2001 08  06323·
 2001 07  377301·
 2001 06  326880.
 2001 05  75953·
 2001 04  85919·
 2001 03  836055.
 2001 02  816027·
 2001 01  825990.
 2000 12 456482·
 2000 11 906333·
 2000 10 946302.
 2000 09 176186.
 2000 08 627146·
 2000 07 407650.
 2000 06 827325·
 2000 05 586418·
 2000 04 336340·
 2000 03 406191·
 2000 02 856108.
 2000 01 746092·
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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, Other Industries Private 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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