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 Series Title: Persons At Work in Nonagricultural Industries, 16-19 years Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 503070.
 2012 03 162955.
 2012 02 923024.
 2012 01 252998·
 2011 12  853196.
 2011 11  463180·
 2011 10  813133.
 2011 09  953168.
 2011 08  743172.
 2011 07  613364.
 2011 06  583360.
 2011 05  523102·
 2011 04  683164·
 2011 03  453120·
 2011 02  363073·
 2011 01  383101.
 2010 12 413197·
 2010 11 23246·
 2010 10 543073·
 2010 09 253007·
 2010 08 933325·
 2010 07 653349.
 2010 06 733248.
 2010 05 43178·
 2010 04 523298.
 2010 03 913161·
 2010 02 833218·
 2010 01 973149.
 2009 12  663226·
 2009 11  613234·
 2009 10  953219.
 2009 09  463398.
 2009 08  113567.
 2009 07  823974.
 2009 06  483823·
 2009 05  213604·
 2009 04  883562.
 2009 03  863600.
 2009 02  53723.
 2009 01  173554·
 2008 12 223751.
 2008 11 283698.
 2008 10 543760·
 2008 09 523813.
 2008 08 633793.
 2008 07 913990.
 2008 06 64025.
 2008 05 704015.
 2008 04 874021·
 2008 03 823876·
 2008 02 23793·
 2008 01 413828.
 2007 12  944095·
 2007 11  314029.
 2007 10  24051·
 2007 09  583951.
 2007 08  93928·
 2007 07  974206·
 2007 06  954220·
 2007 05  423964.
 2007 04  843914·
 2007 03  593922·
 2007 02  954087.
 2007 01  354062.
 2006 12 934435.
 2006 11 254364.
 2006 10 384316·
 2006 09 74101.
 2006 08 364087.
 2006 07 274431.
 2006 06 884403.
 2006 05 534385.
 2006 04 404073.
 2006 03 224066·
 2006 02 334198.
 2006 01 914024.
 2005 12  544241·
 2005 11  904284.
 2005 10  854177·
 2005 09  664074·
 2005 08  544095·
 2005 07  384200.
 2005 06  834028·
 2005 05  464178·
 2005 04  404073·
 2005 03  994152·
 2005 02  894096.
 2005 01  273907·
 2004 12 384123·
 2004 11 294239·
 2004 10 914118·
 2004 09 263938·
 2004 08 974043·
 2004 07 94169.
 2004 06 24122·
 2004 05 884125.
 2004 04 953982·
 2004 03 463952.
 2004 02 614104·
 2004 01 834045.
 2003 12  304053.
 2003 11  714210.
 2003 10  294120.
 2003 09  44077.
 2003 08  284116.
 2003 07  424173·
 2003 06  954115.
 2003 05  704044.
 2003 04  404045·
 2003 03  404076·
 2003 02  724227.
 2003 01  264237.
 2002 12 414349.
 2002 11 724386.
 2002 10 974345.
 2002 09 414238.
 2002 08 314086.
 2002 07 694319.
 2002 06 344264·
 2002 05 94234.
 2002 04 374243.
 2002 03 884273·
 2002 02 704351.
 2002 01 494127.
 2001 12  74449.
 2001 11  104548·
 2001 10  184439.
 2001 09  64351·
 2001 08  183942·
 2001 07  434355·
 2001 06  164507.
 2001 05  474480·
 2001 04  694469.
 2001 03  174569·
 2001 02  284682.
 2001 01  694419.
 2000 12 884799·
 2000 11 904706.
 2000 10 404670·
 2000 09 894506.
 2000 08 224251·
 2000 07 434470·
 2000 06 664605.
 2000 05 514826·
 2000 04 494927.
 2000 03 834718·
 2000 02 444802.
 2000 01 264703·
 1999 12  694797·
 1999 11  414767.
 1999 10  374782.
 1999 09  74563.
 1999 08  64212·
 1999 07  744607·
 1999 06  324508.
 1999 05  134868·
 1999 04  124841·
 1999 03  644829·
 1999 02  424855·
 1999 01  884648.
 1998 12 614917.
 1998 11 174819.
 1998 10 54660·
 1998 09 25014.
 1998 08 554185·
 1998 07 654460·
 1998 06 854587.
 1998 05 484690·
 1998 04 184487·
 1998 03 644608·
 1998 02 694545.
 1998 01 464530·
 1997 12  04673·
 1997 11  974607·
 1997 10  694449·
 1997 09  414228·
 1997 08  784210·
 1997 07  704277·
 1997 06  254323·
 1997 05  04498.
 1997 04  524512·
 1997 03  144344.
 1997 02  984389.
 1997 01  184207·
 1996 12 474464.
 1996 11 874507.
 1996 10 774515.
 1996 09 154331·
 1996 08 134101.
 1996 07 694322·
 1996 06 744206.
 1996 05 354326·
 1996 04 264273.
 1996 03 684189·
 1996 02 284154.
 1996 01 454135.
 1995 12  864313.
 1995 11  154356·
 1995 10  14183·
 1995 09  424206.
 1995 08  184116.
 1995 07  664275.
 1995 06  814125.
 1995 05  444283.
 1995 04  744133·
 1995 03  44185.
 1995 02  814221.
 1995 01  944137·
 1994 12 284285.
 1994 11 354275·
 1994 10 394239.
 1994 09 633995.
 1994 08 814076.
 1994 07 904134.
 1994 06 184083·
 1994 05 454192.
 1994 04 584038.
 1994 03 273966·
 1994 02 54132.
 1994 01 573992·
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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: Persons At Work in Nonagricultural Industries, 16-19 years Worked 1-34 Hours: 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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