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 Series Title: Total At Work in Nonagricultural Industries, Men, 16-19 years Worked 35 Hours or More: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 31503.
 2012 03 7497·
 2012 02 94454.
 2012 01 0426.
 2011 12  61457.
 2011 11  9468·
 2011 10  83531·
 2011 09  50480·
 2011 08  57706.
 2011 07  10832.
 2011 06  74740·
 2011 05  98518·
 2011 04  70437·
 2011 03  91451.
 2011 02  78430·
 2011 01  89363.
 2010 12 75430·
 2010 11 59449.
 2010 10 34489·
 2010 09 91499.
 2010 08 73687.
 2010 07 45885·
 2010 06 5711.
 2010 05 0522·
 2010 04 88491.
 2010 03 7444·
 2010 02 78378.
 2010 01 34354·
 2009 12  72436.
 2009 11  24457·
 2009 10  66484·
 2009 09  38480.
 2009 08  99774.
 2009 07  6844·
 2009 06  8821.
 2009 05  80563·
 2009 04  71536.
 2009 03  82452·
 2009 02  65506.
 2009 01  54531·
 2008 12 12637·
 2008 11 10672·
 2008 10 27772·
 2008 09 81778·
 2008 08 731043·
 2008 07 711122·
 2008 06 61067.
 2008 05 3789.
 2008 04 29709.
 2008 03 72725.
 2008 02 40713.
 2008 01 90638·
 2007 12  81823·
 2007 11  44829·
 2007 10  91859·
 2007 09  37830.
 2007 08  541155·
 2007 07  451445·
 2007 06  481214.
 2007 05  62824.
 2007 04  98761.
 2007 03  55814.
 2007 02  23715·
 2007 01  9715·
 2006 12 89797·
 2006 11 82792.
 2006 10 55885.
 2006 09 48904·
 2006 08 271320·
 2006 07 571524·
 2006 06 61352·
 2006 05 73762·
 2006 04 38816.
 2006 03 36841.
 2006 02 64714·
 2006 01 3810.
 2005 12  72870.
 2005 11  2773.
 2005 10  42791.
 2005 09  82845·
 2005 08  41270·
 2005 07  611484·
 2005 06  781315.
 2005 05  79719·
 2005 04  35676.
 2005 03  45662.
 2005 02  35640·
 2005 01  88724.
 2004 12 90839·
 2004 11 10823·
 2004 10 1853.
 2004 09 29831.
 2004 08 191264.
 2004 07 371447.
 2004 06 891136·
 2004 05 45776.
 2004 04 99720·
 2004 03 35720.
 2004 02 35633.
 2004 01 7704.
 2003 12  29811.
 2003 11  33759·
 2003 10  5713.
 2003 09  7791·
 2003 08  341172.
 2003 07  901371.
 2003 06  841174·
 2003 05  65797.
 2003 04  66679·
 2003 03  85634·
 2003 02  87677·
 2003 01  25618.
 2002 12 99816.
 2002 11 27866·
 2002 10 51958.
 2002 09 57974·
 2002 08 341369·
 2002 07 471599·
 2002 06 381368·
 2002 05 54952.
 2002 04 96835·
 2002 03 1839·
 2002 02 38796.
 2002 01 35847·
 2001 12  36896·
 2001 11  72901·
 2001 10  62967.
 2001 09  46987.
 2001 08  301557.
 2001 07  651868.
 2001 06  491463·
 2001 05  54961·
 2001 04  76891·
 2001 03  12965·
 2001 02  61932.
 2001 01  551004.
 2000 12 11110.
 2000 11 701051·
 2000 10 871079·
 2000 09 661108·
 2000 08 561841·
 2000 07 212037·
 2000 06 391756·
 2000 05 331145.
 2000 04 151015·
 2000 03 711024.
 2000 02 56960·
 2000 01 24929·
 1999 12  791072·
 1999 11  52975·
 1999 10  991075·
 1999 09  341077·
 1999 08  741751.
 1999 07  201974.
 1999 06  581561.
 1999 05  811057·
 1999 04  49888·
 1999 03  58871·
 1999 02  44915·
 1999 01  11938·
 1998 12 811077·
 1998 11 71958.
 1998 10 96999.
 1998 09 91738·
 1998 08 691698.
 1998 07 921857·
 1998 06 771485.
 1998 05 17980.
 1998 04 39888.
 1998 03 77841.
 1998 02 74908.
 1998 01 7849·
 1997 12  42885·
 1997 11  8936·
 1997 10  0960.
 1997 09  51022·
 1997 08  521494.
 1997 07  911817·
 1997 06  941372·
 1997 05  81924·
 1997 04  70808·
 1997 03  58733.
 1997 02  18786.
 1997 01  28779.
 1996 12 22797.
 1996 11 66828·
 1996 10 61878·
 1996 09 67981.
 1996 08 581486·
 1996 07 961720.
 1996 06 341366·
 1996 05 40863.
 1996 04 53734.
 1996 03 55781.
 1996 02 76734.
 1996 01 18649.
 1995 12  8889.
 1995 11  75838·
 1995 10  50906.
 1995 09  94928.
 1995 08  481605.
 1995 07  121720.
 1995 06  431402·
 1995 05  87760.
 1995 04  23778·
 1995 03  47788·
 1995 02  69738·
 1995 01  42751·
 1994 12 9825·
 1994 11 89782.
 1994 10 66785.
 1994 09 27827·
 1994 08 71502.
 1994 07 671631.
 1994 06 961340·
 1994 05 37772.
 1994 04 41704·
 1994 03 39609·
 1994 02 47547·
 1994 01 92654.
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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: Total At Work in Nonagricultural Industries, Men, 16-19 years Worked 35 Hours or More: 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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