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 Series Title: Total At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: NSA
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 2000 01 60118.
 2000 02 23100.
 2000 03 57101.
 2000 04 4897.
 2000 05 3122·
 2000 06 32151.
 2000 07 48133·
 2000 08 92149·
 2000 09 8880.
 2000 10 16119·
 2000 11 15131·
 2000 12 10119·
 2001 01  65250·
 2001 02  54191.
 2001 03  70217.
 2001 04  46172·
 2001 05  9198.
 2001 06  55254·
 2001 07  53180.
 2001 08  69150.
 2001 09  20211·
 2001 10  48251.
 2001 11  24201·
 2001 12  73255·
 2002 01 24210·
 2002 02 92218·
 2002 03 73254.
 2002 04 77175.
 2002 05 72165.
 2002 06 67149.
 2002 07 13162·
 2002 08 25190·
 2002 09 38170·
 2002 10 81198·
 2002 11 81166.
 2002 12 87185.
 2003 01  23201·
 2003 02  65233.
 2003 03  40237.
 2003 04  56175·
 2003 05  53186·
 2003 06  75141.
 2003 07  78156.
 2003 08  53167.
 2003 09  77162·
 2003 10  93143·
 2003 11  8127·
 2003 12  20142.
 2004 01 72170.
 2004 02 27130.
 2004 03 68160·
 2004 04 27132·
 2004 05 37156.
 2004 06 6139·
 2004 07 20145.
 2004 08 69134·
 2004 09 99165·
 2004 10 89138·
 2004 11 53156·
 2004 12 64123.
 2005 01  7140·
 2005 02  57150.
 2005 03  80119.
 2005 04  56116·
 2005 05  36165.
 2005 06  16152·
 2005 07  38162.
 2005 08  15120·
 2005 09  8895.
 2005 10  99104·
 2005 11  9082·
 2005 12  35127.
 2006 01 88156.
 2006 02 61148.
 2006 03 24134·
 2006 04 34102.
 2006 05 85151·
 2006 06 84103·
 2006 07 53109.
 2006 08 58141·
 2006 09 56113·
 2006 10 75149.
 2006 11 16124·
 2006 12 75130.
 2007 01  1155·
 2007 02  66134·
 2007 03  74174.
 2007 04  79150·
 2007 05  44131·
 2007 06  14102.
 2007 07  16126·
 2007 08  90140·
 2007 09  38116.
 2007 10  99123·
 2007 11  54173.
 2007 12  51116·
 2008 01 56188.
 2008 02 29180.
 2008 03 27182.
 2008 04 32192·
 2008 05 99208·
 2008 06 35167·
 2008 07 98194.
 2008 08 27177·
 2008 09 94195·
 2008 10 73270.
 2008 11 53351·
 2008 12 56333·
 2009 01  89476·
 2009 02  27529.
 2009 03  7540·
 2009 04  61492.
 2009 05  61573·
 2009 06  1482·
 2009 07  97414.
 2009 08  12417·
 2009 09  10336·
 2009 10  28313·
 2009 11  86345.
 2009 12  4310·
 2010 01 61323·
 2010 02 65280·
 2010 03 62266.
 2010 04 56256·
 2010 05 64198·
 2010 06 93217·
 2010 07 37241·
 2010 08 11243.
 2010 09 96276.
 2010 10 18223·
 2010 11 50210·
 2010 12 39254·
 2011 01  56269.
 2011 02  73225·
 2011 03  64202·
 2011 04  35195·
 2011 05  70229·
 2011 06  13234.
 2011 07  66227.
 2011 08  16180·
 2011 09  88186.
 2011 10  21198.
 2011 11  69160.
 2011 12  28190.
 2012 01 86205.
 2012 02 4237.
 2012 03 12188.
 2012 04 39157·
 2012 05 64127·
 2012 06 92143.
 2012 07 56152.
 2012 08 44154.
 2012 09 47181·
 2012 10 43186·
 2012 11 91171·
 2012 12 61151.
 2013 01  87204.
 2013 02  38215·
 2013 03  28123·
 2013 04  36152.
 2013 05  57146.
 2013 06  84140.
 2013 07  7150.
 2013 08  36158.
 2013 09  59163.
 2013 10  13166.
 2013 11  88163.
 2013 12  56187.
 2014 01 17169·
 2014 02 80180.
 2014 03 62138·
 2014 04 16109.
 2014 05 84121·
 2014 06 68113·
 2014 07 40127·
 2014 08 59168.
 2014 09 32148·
 2014 10 84145.
 2014 11 60158.
 2014 12 55100.
 2015 01  64146·
 2015 02  58154.
 2015 03  85172.
 2015 04  9888·
 2015 05  5123·
 2015 06  48114·
 2015 07  3110·
 2015 08  6132.
 2015 09  4101·
 2015 10  36135.
 2015 11  28113.
 2015 12  24137.
 2016 01 38158.
 2016 02 27115·
 2016 03 96161.
 2016 04 22120.
 2016 05 7155·
 2016 06 5490.
 2016 07 71136·
 2016 08 93133·
 2016 09 35111·
 2016 10 74119.
 2016 11 41133.
 2016 12 56134.
 2017 01  74139.
 2017 02  67138.


 2017 03  18146·
 2017 04  55107.
 2017 05  99112·
 2017 06  40134.
 2017 07  4195.
 2017 08  6158·
 2017 09  1080·
 2017 10  2660·
 2017 11  7287.
 2017 12  6693.
 2018 01 33130.
 2018 02 81116·
 2018 03 99109·
 2018 04 90110·
 2018 05 18105.
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Similar Series

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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Economic Reasons: 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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