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 Series Title: Total At Work in Nonagricultural Industries, Men, 18-19 years Worked 35 Hours or More: NSA
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 2012 04 73454·
 2012 03 93460.
 2012 02 9414.
 2012 01 39386·
 2011 12  20406·
 2011 11  95411·
 2011 10  7489·
 2011 09  29434.
 2011 08  15598·
 2011 07  77670·
 2011 06  87621·
 2011 05  99458.
 2011 04  8411.
 2011 03  21382·
 2011 02  61387·
 2011 01  93313·
 2010 12 74382.
 2010 11 33418.
 2010 10 69440.
 2010 09 80441·
 2010 08 14570.
 2010 07 44695.
 2010 06 72595·
 2010 05 55443.
 2010 04 53442·
 2010 03 12394·
 2010 02 60334·
 2010 01 36327·
 2009 12  42385.
 2009 11  17420·
 2009 10  43438·
 2009 09  67424.
 2009 08  55588·
 2009 07  67642·
 2009 06  62690·
 2009 05  19486.
 2009 04  94468.
 2009 03  94412.
 2009 02  77459·
 2009 01  84476.
 2008 12 83590.
 2008 11 53594·
 2008 10 78694·
 2008 09 83693·
 2008 08 74880·
 2008 07 26910·
 2008 06 78887·
 2008 05 58694·
 2008 04 41643.
 2008 03 21630·
 2008 02 13635·
 2008 01 80572.
 2007 12  85729.
 2007 11  69729·
 2007 10  47730.
 2007 09  42744·
 2007 08  32900.
 2007 07  261093.
 2007 06  68962·
 2007 05  64737·
 2007 04  31651.
 2007 03  74730·
 2007 02  89665·
 2007 01  90639·
 2006 12 58718·
 2006 11 19695·
 2006 10 47773.
 2006 09 88803.
 2006 08 131064·
 2006 07 941165·
 2006 06 61095·
 2006 05 54674.
 2006 04 23740.
 2006 03 55737·
 2006 02 54610·
 2006 01 6737·
 2005 12  36787.
 2005 11  84690.
 2005 10  2718.
 2005 09  88740.
 2005 08  29999.
 2005 07  861171.
 2005 06  901053·
 2005 05  69639·
 2005 04  2594·
 2005 03  95586.
 2005 02  80567.
 2005 01  44642·
 2004 12 81749.
 2004 11 66755.
 2004 10 60773.
 2004 09 32765.
 2004 08 151057.
 2004 07 821148·
 2004 06 43961·
 2004 05 77711.
 2004 04 81644·
 2004 03 48656.
 2004 02 66579·
 2004 01 47650·
 2003 12  78729.
 2003 11  97686·
 2003 10  93647.
 2003 09  38714·
 2003 08  32944.
 2003 07  841042·
 2003 06  12980·
 2003 05  68716.
 2003 04  94613.
 2003 03  93566·
 2003 02  35600·
 2003 01  82573.
 2002 12 38749.
 2002 11 29804·
 2002 10 0878·
 2002 09 48837.
 2002 08 651067·
 2002 07 241189·
 2002 06 711110.
 2002 05 61827.
 2002 04 1721·
 2002 03 34721·
 2002 02 35703.
 2002 01 39782.
 2001 12  96820.
 2001 11  42816.
 2001 10  4864.
 2001 09  28896·
 2001 08  251256·
 2001 07  541394.
 2001 06  181146·
 2001 05  96831.
 2001 04  89777.
 2001 03  1849·
 2001 02  38801.
 2001 01  37899.
 2000 12 131012.
 2000 11 40943·
 2000 10 53970·
 2000 09 70995·
 2000 08 471416.
 2000 07 541497·
 2000 06 761388.
 2000 05 401007.
 2000 04 67869.
 2000 03 48882.
 2000 02 44838.
 2000 01 16833·
 1999 12  74982.
 1999 11  54897·
 1999 10  20960.
 1999 09  91946·
 1999 08  921375.
 1999 07  291490·
 1999 06  931263.
 1999 05  86945.
 1999 04  72810.
 1999 03  54797·
 1999 02  74827.
 1999 01  44845.
 1998 12 90982.
 1998 11 36868.
 1998 10 3917.
 1998 09 34686·
 1998 08 451315.
 1998 07 71385·
 1998 06 421186.
 1998 05 50864.
 1998 04 64778·
 1998 03 24745·
 1998 02 78832·
 1998 01 12754.
 1997 12  96789.
 1997 11  67860.
 1997 10  25874·
 1997 09  63920·
 1997 08  171138·
 1997 07  441377·
 1997 06  211071·
 1997 05  73847·
 1997 04  28745.
 1997 03  86666.
 1997 02  28691·
 1997 01  37701·
 1996 12 53706·
 1996 11 50728·
 1996 10 34772.
 1996 09 72874.
 1996 08 441150.
 1996 07 181284·
 1996 06 531057·
 1996 05 24754.
 1996 04 75649.
 1996 03 96710·
 1996 02 21674.
 1996 01 61598.
 1995 12  47803.
 1995 11  16769.
 1995 10  3825.
 1995 09  77825·
 1995 08  861245.
 1995 07  341259·
 1995 06  861042·
 1995 05  93673·
 1995 04  41696·
 1995 03  32706·
 1995 02  82667.
 1995 01  51684.
 1994 12 88744.
 1994 11 17694.
 1994 10 31689·
 1994 09 21744.
 1994 08 281134·
 1994 07 201206.
 1994 06 931050.
 1994 05 97664·
 1994 04 86621.
 1994 03 99560·
 1994 02 59501.
 1994 01 98594.
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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, 18-19 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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