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 Series Title: Total At Work in Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
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 2012 04 42800·
 2012 03 14769·
 2012 02 17646.
 2012 01 57584.
 2011 12  70598.
 2011 11  90889.
 2011 10  55800.
 2011 09  30645·
 2011 08  65777·
 2011 07  65730.
 2011 06  93631.
 2011 05  2626·
 2011 04  76577.
 2011 03  19581·
 2011 02  46704·
 2011 01  161164·
 2010 12 80705.
 2010 11 60888.
 2010 10 51793·
 2010 09 42619·
 2010 08 76721·
 2010 07 20660.
 2010 06 70652.
 2010 05 74659.
 2010 04 90522.
 2010 03 55509·
 2010 02 911055.
 2010 01 32598.
 2009 12  72740.
 2009 11  46848.
 2009 10  28901.
 2009 09  593753·
 2009 08  98799·
 2009 07  1652.
 2009 06  18741·
 2009 05  24597.
 2009 04  68739.
 2009 03  50565·
 2009 02  24654·
 2009 01  22633·
 2008 12 8684·
 2008 11 52980.
 2008 10 35845.
 2008 09 72825·
 2008 08 67786.
 2008 07 86950·
 2008 06 62768·
 2008 05 18671·
 2008 04 21663·
 2008 03 61782·
 2008 02 441029.
 2008 01 29642.
 2007 12  72749·
 2007 11  6637·
 2007 10  44861.
 2007 09  99664.
 2007 08  43987.
 2007 07  80878.
 2007 06  49719·
 2007 05  47786.
 2007 04  86966.
 2007 03  64805·
 2007 02  731274.
 2007 01  18879·
 2006 12 75800·
 2006 11 64902.
 2006 10 53909.
 2006 09 80701.
 2006 08 12919·
 2006 07 13788.
 2006 06 52808.
 2006 05 29701.
 2006 04 211857·
 2006 03 66869.
 2006 02 59933.
 2006 01 82856·
 2005 12  53804.
 2005 11  5982·
 2005 10  86971.
 2005 09  84667.
 2005 08  84930·
 2005 07  37851·
 2005 06  70738.
 2005 05  4751.
 2005 04  13815·
 2005 03  95737·
 2005 02  76864.
 2005 01  37801.
 2004 12 67798·
 2004 11 331006.
 2004 10 90946.
 2004 09 21020·
 2004 08 95941·
 2004 07 34913.
 2004 06 26817·
 2004 05 41819.
 2004 04 731001.
 2004 03 5734.
 2004 02 21760·
 2004 01 26710.
 2003 12  1888.
 2003 11  77927.
 2003 10  381076·
 2003 09  50879·
 2003 08  51214·
 2003 07  7966.
 2003 06  66763·
 2003 05  31850.
 2003 04  35730.
 2003 03  76807·
 2003 02  181051.
 2003 01  15849.
 2002 12 671143.
 2002 11 911074·
 2002 10 30832.
 2002 09 70716·
 2002 08 0977.
 2002 07 85976.
 2002 06 66902.
 2002 05 90921·
 2002 04 61831.
 2002 03 12893.
 2002 02 141047.
 2002 01 96857.
 2001 12  99861·
 2001 11  561129.
 2001 10  871066·
 2001 09  291105·
 2001 08  911124.
 2001 07  221058.
 2001 06  221068.
 2001 05  61924.
 2001 04  362556.
 2001 03  43944.
 2001 02  831176·
 2001 01  85961·
 2000 12 591092.
 2000 11 751019.
 2000 10 571236·
 2000 09 20891·
 2000 08 131157.
 2000 07 991148·
 2000 06 581194.
 2000 05 10951.
 2000 04 70966.
 2000 03 22995·
 2000 02 221041.
 2000 01 251051.
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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 Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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