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 Series Title: Persons At Work in Nonagricultural Industries, Men, 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 71424·
 2012 03 751292·
 2012 02 951305.
 2012 01 211321.
 2011 12  301433.
 2011 11  01370·
 2011 10  121346.
 2011 09  771413·
 2011 08  881430·
 2011 07  921509·
 2011 06  981484.
 2011 05  11361.
 2011 04  311381·
 2011 03  331393·
 2011 02  681415·
 2011 01  361466.
 2010 12 351449.
 2010 11 301507.
 2010 10 571380.
 2010 09 521330.
 2010 08 11493·
 2010 07 141573.
 2010 06 301504.
 2010 05 431444.
 2010 04 531471.
 2010 03 411439.
 2010 02 741438.
 2010 01 281404.
 2009 12  421396·
 2009 11  941401.
 2009 10  21471.
 2009 09  511590.
 2009 08  441591.
 2009 07  791832·
 2009 06  521721·
 2009 05  811615.
 2009 04  581597·
 2009 03  281608.
 2009 02  871607·
 2009 01  121523.
 2008 12 111684·
 2008 11 971610.
 2008 10 951671.
 2008 09 641736·
 2008 08 521819.
 2008 07 681864.
 2008 06 891925.
 2008 05 811871·
 2008 04 571827.
 2008 03 481702·
 2008 02 61630·
 2008 01 321671·
 2007 12  271702·
 2007 11  681688.
 2007 10  91772·
 2007 09  101779·
 2007 08  861779·
 2007 07  851897.
 2007 06  871953·
 2007 05  361786.
 2007 04  861818·
 2007 03  801790.
 2007 02  521851.
 2007 01  531911.
 2006 12 12063·
 2006 11 612028·
 2006 10 421945.
 2006 09 301864.
 2006 08 321873·
 2006 07 581964·
 2006 06 211965·
 2006 05 622061.
 2006 04 41827.
 2006 03 291873·
 2006 02 751915.
 2006 01 671776·
 2005 12  691964·
 2005 11  551947.
 2005 10  181903·
 2005 09  911820·
 2005 08  01827.
 2005 07  431848.
 2005 06  871743·
 2005 05  11891·
 2005 04  991864.
 2005 03  241935.
 2005 02  471821·
 2005 01  921758.
 2004 12 901833·
 2004 11 551968·
 2004 10 831876.
 2004 09 831783·
 2004 08 251864.
 2004 07 181950·
 2004 06 111934.
 2004 05 191871·
 2004 04 791829.
 2004 03 191800.
 2004 02 661869·
 2004 01 691862·
 2003 12  521925.
 2003 11  901907.
 2003 10  121971.
 2003 09  261874.
 2003 08  691885·
 2003 07  881902·
 2003 06  381890·
 2003 05  101846.
 2003 04  811826.
 2003 03  941821·
 2003 02  551903·
 2003 01  641952.
 2002 12 631960.
 2002 11 152015·
 2002 10 32026·
 2002 09 591980.
 2002 08 161823·
 2002 07 822001·
 2002 06 421965·
 2002 05 881993·
 2002 04 651966.
 2002 03 521979.
 2002 02 632044·
 2002 01 701867.
 2001 12  602037.
 2001 11  82067·
 2001 10  772049·
 2001 09  502087·
 2001 08  781805·
 2001 07  542093.
 2001 06  222131·
 2001 05  972172·
 2001 04  172159.
 2001 03  242247·
 2001 02  622172·
 2001 01  42045·
 2000 12 42202.
 2000 11 742162·
 2000 10 842227.
 2000 09 912146·
 2000 08 891911·
 2000 07 852061·
 2000 06 12125.
 2000 05 22353.
 2000 04 472353·
 2000 03 632327·
 2000 02 512282.
 2000 01 72212·
 1999 12  792269.
 1999 11  422269·
 1999 10  962367·
 1999 09  992201·
 1999 08  111967.
 1999 07  772167.
 1999 06  262170·
 1999 05  972368·
 1999 04  912287.
 1999 03  492252.
 1999 02  522190·
 1999 01  462094.
 1998 12 972215·
 1998 11 672241·
 1998 10 122128·
 1998 09 142380·
 1998 08 281878·
 1998 07 602088.
 1998 06 702130.
 1998 05 972152.
 1998 04 102096.
 1998 03 872159·
 1998 02 132051.
 1998 01 122022.
 1997 12  932212.
 1997 11  272213.
 1997 10  552159·
 1997 09  51982.
 1997 08  521964·
 1997 07  891953·
 1997 06  322031·
 1997 05  442144.
 1997 04  882054.
 1997 03  42076.
 1997 02  92073·
 1997 01  241892.
 1996 12 272044.
 1996 11 282047·
 1996 10 722109.
 1996 09 631974·
 1996 08 181862·
 1996 07 431948.
 1996 06 351994.
 1996 05 62060·
 1996 04 372072·
 1996 03 561935·
 1996 02 351952.
 1996 01 211931·
 1995 12  852005.
 1995 11  982014·
 1995 10  361947.
 1995 09  42014.
 1995 08  861843.
 1995 07  261996·
 1995 06  261928·
 1995 05  732009.
 1995 04  921951.
 1995 03  221898.
 1995 02  171904·
 1995 01  721885·
 1994 12 771978.
 1994 11 922021·
 1994 10 472035.
 1994 09 711922·
 1994 08 431922.
 1994 07 681893·
 1994 06 791886·
 1994 05 631945.
 1994 04 141873.
 1994 03 61899·
 1994 02 12011·
 1994 01 681903.
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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, Men, 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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