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 Series Title: Persons At Work in Nonagricultural Industries, Men, 16-17 years Worked 1-34 Hours: NSA
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 2012 04 1521.
 2012 03 79480.
 2012 02 80458·
 2012 01 78438·
 2011 12  67465·
 2011 11  45478·
 2011 10  11517.
 2011 09  97576·
 2011 08  11533·
 2011 07  21604.
 2011 06  56566·
 2011 05  27468.
 2011 04  84445.
 2011 03  91482.
 2011 02  27489.
 2011 01  12514·
 2010 12 62549.
 2010 11 60548·
 2010 10 62515·
 2010 09 22536.
 2010 08 45603.
 2010 07 60624·
 2010 06 24567·
 2010 05 51515·
 2010 04 58543.
 2010 03 47505·
 2010 02 1474.
 2010 01 17522·
 2009 12  52495·
 2009 11  3531·
 2009 10  6555·
 2009 09  65651.
 2009 08  3691·
 2009 07  35767.
 2009 06  77743.
 2009 05  65656·
 2009 04  10617.
 2009 03  75622.
 2009 02  76621·
 2009 01  9576.
 2008 12 99699.
 2008 11 79631.
 2008 10 92746·
 2008 09 18794·
 2008 08 20811.
 2008 07 28823·
 2008 06 38794·
 2008 05 35750.
 2008 04 49730.
 2008 03 30710·
 2008 02 50697.
 2008 01 29680·
 2007 12  86770·
 2007 11  16769.
 2007 10  93879.
 2007 09  96881.
 2007 08  56848.
 2007 07  43942·
 2007 06  54971·
 2007 05  53839.
 2007 04  11845·
 2007 03  91838.
 2007 02  46849·
 2007 01  45923.
 2006 12 25992.
 2006 11 691024.
 2006 10 7970·
 2006 09 41982.
 2006 08 98978·
 2006 07 81048.
 2006 06 01082.
 2006 05 36985·
 2006 04 57859·
 2006 03 63841·
 2006 02 12788·
 2006 01 48797·
 2005 12  51915.
 2005 11  18877.
 2005 10  57902·
 2005 09  21874.
 2005 08  56871.
 2005 07  77879.
 2005 06  72822.
 2005 05  25834.
 2005 04  72862·
 2005 03  75871·
 2005 02  21838·
 2005 01  55806·
 2004 12 25849.
 2004 11 65950·
 2004 10 91904.
 2004 09 28880·
 2004 08 65854·
 2004 07 32891·
 2004 06 94842.
 2004 05 89789.
 2004 04 68761.
 2004 03 80761.
 2004 02 70826.
 2004 01 7858.
 2003 12  33936.
 2003 11  42954.
 2003 10  81927·
 2003 09  77956·
 2003 08  86991.
 2003 07  741005·
 2003 06  15989.
 2003 05  17877.
 2003 04  78829·
 2003 03  59801.
 2003 02  84876·
 2003 01  72876·
 2002 12 84880.
 2002 11 2921.
 2002 10 27968.
 2002 09 11961·
 2002 08 5858·
 2002 07 351001.
 2002 06 6984.
 2002 05 28859.
 2002 04 65846·
 2002 03 15813·
 2002 02 10833.
 2002 01 42820·
 2001 12  15969.
 2001 11  24971.
 2001 10  511003.
 2001 09  971070·
 2001 08  31933·
 2001 07  681068·
 2001 06  671062.
 2001 05  631049·
 2001 04  13963·
 2001 03  78986·
 2001 02  21959.
 2001 01  33905·
 2000 12 861058.
 2000 11 131051.
 2000 10 11101.
 2000 09 261149.
 2000 08 11059.
 2000 07 521032.
 2000 06 201150·
 2000 05 881152.
 2000 04 331067·
 2000 03 31091·
 2000 02 151114.
 2000 01 861090.
 1999 12  831168·
 1999 11  971151.
 1999 10  501244·
 1999 09  161156.
 1999 08  751119·
 1999 07  921213·
 1999 06  131139.
 1999 05  961171·
 1999 04  611094·
 1999 03  681078.
 1999 02  151072.
 1999 01  701044.
 1998 12 161153·
 1998 11 321078.
 1998 10 971098.
 1998 09 71192.
 1998 08 391033·
 1998 07 171098·
 1998 06 191053·
 1998 05 31062.
 1998 04 571026·
 1998 03 781056·
 1998 02 701029.
 1998 01 751004.
 1997 12  201090·
 1997 11  971130.
 1997 10  631183·
 1997 09  681152.
 1997 08  31076.
 1997 07  811135·
 1997 06  361080·
 1997 05  511079.
 1997 04  71013·
 1997 03  62961.
 1997 02  52993.
 1997 01  18898·
 1996 12 561028.
 1996 11 951050.
 1996 10 981121·
 1996 09 891077·
 1996 08 3975·
 1996 07 641044.
 1996 06 881033.
 1996 05 71016.
 1996 04 20954.
 1996 03 74930·
 1996 02 59926.
 1996 01 42892·
 1995 12  111043·
 1995 11  571017·
 1995 10  751037·
 1995 09  871068.
 1995 08  981020·
 1995 07  701100.
 1995 06  231048·
 1995 05  63987.
 1995 04  34912.
 1995 03  94897·
 1995 02  15940.
 1995 01  12915.
 1994 12 931077·
 1994 11 361065·
 1994 10 911081.
 1994 09 51064·
 1994 08 761079.
 1994 07 281055.
 1994 06 12958.
 1994 05 35973.
 1994 04 8880.
 1994 03 26855.
 1994 02 67883.
 1994 01 22904·
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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, 16-17 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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