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 Series Title: Persons At Work in Nonagricultural Industries, Men, 18-19 years Worked 1-34 Hours: NSA
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 2012 04 83902.
 2012 03 11811.
 2012 02 24848·
 2012 01 37883.
 2011 12  90968·
 2011 11  23892·
 2011 10  81829.
 2011 09  37837·
 2011 08  44897·
 2011 07  15906.
 2011 06  20919.
 2011 05  16893.
 2011 04  96936.
 2011 03  68911.
 2011 02  54926·
 2011 01  19952·
 2010 12 22900.
 2010 11 89959·
 2010 10 21865.
 2010 09 16794·
 2010 08 21890·
 2010 07 10949·
 2010 06 84937·
 2010 05 0929.
 2010 04 19928.
 2010 03 87935.
 2010 02 31964.
 2010 01 90882·
 2009 12  67901.
 2009 11  2870.
 2009 10  74916·
 2009 09  31939·
 2009 08  40900.
 2009 07  611065·
 2009 06  52978·
 2009 05  92959.
 2009 04  38980·
 2009 03  97986·
 2009 02  27986·
 2009 01  67947.
 2008 12 87985·
 2008 11 65979.
 2008 10 87925.
 2008 09 75942·
 2008 08 371009·
 2008 07 481041.
 2008 06 461131.
 2008 05 601121.
 2008 04 641097.
 2008 03 52992·
 2008 02 40933·
 2008 01 91991.
 2007 12  67932·
 2007 11  9919.
 2007 10  34893·
 2007 09  62897·
 2007 08  73931.
 2007 07  76955·
 2007 06  14982·
 2007 05  94946·
 2007 04  31972·
 2007 03  33951·
 2007 02  941002.
 2007 01  29989·
 2006 12 181071·
 2006 11 881003.
 2006 10 12974.
 2006 09 37882.
 2006 08 33895.
 2006 07 72916.
 2006 06 30883.
 2006 05 121076.
 2006 04 1967.
 2006 03 431031.
 2006 02 371127·
 2006 01 73979·
 2005 12  741048.
 2005 11  801069.
 2005 10  451001.
 2005 09  64946.
 2005 08  27956·
 2005 07  93969·
 2005 06  92921·
 2005 05  551057·
 2005 04  591002·
 2005 03  111064·
 2005 02  42982.
 2005 01  39951·
 2004 12 97985.
 2004 11 911018·
 2004 10 81972·
 2004 09 37904.
 2004 08 911010.
 2004 07 161059·
 2004 06 231092·
 2004 05 911082.
 2004 04 161068·
 2004 03 921039.
 2004 02 61043·
 2004 01 711003·
 2003 12  73989.
 2003 11  50953·
 2003 10  921044.
 2003 09  71918.
 2003 08  86894.
 2003 07  47896·
 2003 06  70901.
 2003 05  10969.
 2003 04  7997·
 2003 03  651020·
 2003 02  531027·
 2003 01  331076·
 2002 12 111080·
 2002 11 101094·
 2002 10 781058.
 2002 09 91019·
 2002 08 97964·
 2002 07 14999·
 2002 06 8981·
 2002 05 311134·
 2002 04 921120.
 2002 03 341166·
 2002 02 311211·
 2002 01 191047.
 2001 12  471068.
 2001 11  511096.
 2001 10  601046.
 2001 09  171016.
 2001 08  35871.
 2001 07  721025·
 2001 06  331069.
 2001 05  941123·
 2001 04  581196.
 2001 03  291261·
 2001 02  131213.
 2001 01  441141·
 2000 12 421144·
 2000 11 781111·
 2000 10 871126.
 2000 09 87997.
 2000 08 35852.
 2000 07 11028.
 2000 06 69975.
 2000 05 671201·
 2000 04 151286·
 2000 03 41235.
 2000 02 961168.
 2000 01 521122.
 1999 12  811101.
 1999 11  191118.
 1999 10  321123.
 1999 09  371045.
 1999 08  58848.
 1999 07  4954.
 1999 06  641031·
 1999 05  411198.
 1999 04  981193·
 1999 03  381174.
 1999 02  51118·
 1999 01  81050·
 1998 12 751062·
 1998 11 301163·
 1998 10 931030.
 1998 09 71187·
 1998 08 90844.
 1998 07 10989.
 1998 06 911077.
 1998 05 331090·
 1998 04 681070·
 1998 03 361104.
 1998 02 871022.
 1998 01 41018·
 1997 12  591122·
 1997 11  891083·
 1997 10  93976.
 1997 09  65830·
 1997 08  40889.
 1997 07  75818·
 1997 06  48951·
 1997 05  841065·
 1997 04  101040·
 1997 03  271115.
 1997 02  141080.
 1997 01  57994·
 1996 12 951016·
 1996 11 0997.
 1996 10 80988.
 1996 09 2898.
 1996 08 45887·
 1996 07 77904·
 1996 06 58961.
 1996 05 631044.
 1996 04 351118.
 1996 03 651005.
 1996 02 861026.
 1996 01 91039.
 1995 12  67961·
 1995 11  94997·
 1995 10  27910·
 1995 09  35946·
 1995 08  65822·
 1995 07  21897·
 1995 06  69879·
 1995 05  601022·
 1995 04  791039.
 1995 03  291001·
 1995 02  25964.
 1995 01  27971.
 1994 12 86901·
 1994 11 23956.
 1994 10 33954.
 1994 09 6858.
 1994 08 85844.
 1994 07 36838.
 1994 06 55928·
 1994 05 92972·
 1994 04 2993.
 1994 03 241044·
 1994 02 801129.
 1994 01 2999·
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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, 18-19 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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