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 Series Title: Average Hours, At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 2842·9
 2000 02 8943·3
 2000 03 8143·2
 2000 04 3943.1
 2000 05 2143.1
 2000 06 8642·5
 2000 07 9642.8
 2000 08 4542·9
 2000 09 543·1
 2000 10 642·8
 2000 11 3742·4
 2000 12 7542·8
 2001 01  3142·0
 2001 02  3142.1
 2001 03  1742·3
 2001 04  7240.5
 2001 05  7442.3
 2001 06  6842.3
 2001 07  7342·2
 2001 08  742·4
 2001 09  3442·1
 2001 10  4842·0
 2001 11  6941.7
 2001 12  7242·2
 2002 01 3842.0
 2002 02 2941.9
 2002 03 9342·4
 2002 04 8842.6
 2002 05 3442.5
 2002 06 9142·5
 2002 07 5742.1
 2002 08 9842.3
 2002 09 042.9
 2002 10 4142.6
 2002 11 9942·5
 2002 12 7242·3
 2003 01  3442·2
 2003 02  1141.8
 2003 03  8242·2
 2003 04  342·3
 2003 05  6342.4
 2003 06  5842.5
 2003 07  9442·0
 2003 08  1141.7
 2003 09  3742.8
 2003 10  6342·5
 2003 11  4842·6
 2003 12  4043·1
 2004 01 3142·9
 2004 02 3442.7
 2004 03 8243·0
 2004 04 5942·3
 2004 05 4542·5
 2004 06 042·6
 2004 07 5942.3
 2004 08 6242.4
 2004 09 642·5
 2004 10 2042.6
 2004 11 6642.5
 2004 12 6942·8
 2005 01  6342·8
 2005 02  7442·6
 2005 03  1742·9
 2005 04  2342·4
 2005 05  9242.5
 2005 06  7042·9
 2005 07  4942·2
 2005 08  9342·5
 2005 09  9343.0
 2005 10  3942.7
 2005 11  2542.9
 2005 12  7542·8
 2006 01 9242.5
 2006 02 3842.5
 2006 03 3442·5
 2006 04 8641·3
 2006 05 3842.7
 2006 06 4843·0
 2006 07 8842.7
 2006 08 7242·4
 2006 09 943.2
 2006 10 7642.6
 2006 11 2442·7
 2006 12 042·8
 2007 01  242·1
 2007 02  5441·9
 2007 03  742·6
 2007 04  6642.4
 2007 05  4542.7
 2007 06  3843.0
 2007 07  2342.4
 2007 08  8942·7
 2007 09  8843·1
 2007 10  1043.1
 2007 11  8542.9
 2007 12  1242.8
 2008 01 542.6
 2008 02 7642·4
 2008 03 3342·7
 2008 04 542.6
 2008 05 9842.6
 2008 06 6942.7
 2008 07 2742.0
 2008 08 6142.5
 2008 09 9142·2
 2008 10 4542.0
 2008 11 5741·3
 2008 12 141·7
 2009 01  3641.2
 2009 02  8541.2
 2009 03  3541.3
 2009 04  6840·9
 2009 05  740·9
 2009 06  9640.8
 2009 07  9941.2
 2009 08  3140.8
 2009 09  538·3
 2009 10  1041.5
 2009 11  1241·5
 2009 12  8541·8
 2010 01 5541·8
 2010 02 8341.5
 2010 03 6242.2
 2010 04 4842·3
 2010 05 842·4
 2010 06 9742.1
 2010 07 6242·0
 2010 08 6541·9
 2010 09 3942.2
 2010 10 5942.0
 2010 11 4941·8
 2010 12 541.9
 2011 01  4841·2
 2011 02  141·9
 2011 03  8742.5
 2011 04  6242·3
 2011 05  6242.5
 2011 06  7842·4
 2011 07  6342.0
 2011 08  5641.9
 2011 09  2942·3
 2011 10  7342.2
 2011 11  9142.6
 2011 12  2942·8
 2012 01 2642.4
 2012 02 9242·1
 2012 03 841·9
 2012 04 5242.3
 2012 05 5342·6
 2012 06 6742.6
 2012 07 7742.4
 2012 08 1842.0
 2012 09 3642·2
 2012 10 5542.3
 2012 11 8542·6
 2012 12 4742·7
 2013 01  2442.0
 2013 02  3742·4
 2013 03  4742.5
 2013 04  8442.7
 2013 05  9442.8
 2013 06  1942.8
 2013 07  9942·2
 2013 08  9642.2
 2013 09  4542.5
 2013 10  3442.4
 2013 11  542.4
 2013 12  7842·2
 2014 01 342·4
 2014 02 3941.8
 2014 03 5342.8
 2014 04 4942·4
 2014 05 1842·7
 2014 06 1342·6
 2014 07 5542.2
 2014 08 5442.3
 2014 09 6642.9
 2014 10 6642.5
 2014 11 4942.6
 2014 12 6242.8
 2015 01  4742.5
 2015 02  2742·2
 2015 03  9942·5
 2015 04  6642.7
 2015 05  8742·4
 2015 06  5442·4
 2015 07  9142.2
 2015 08  8642.4
 2015 09  3639.4
 2015 10  2842·2
 2015 11  4042·2
 2015 12  6642.8
 2016 01 6942·2
 2016 02 5642·2
 2016 03 8342.2
 2016 04 7542.6
 2016 05 8742.5
 2016 06 7042·4
 2016 07 8242·2
 2016 08 842.2
 2016 09 1442·4
 2016 10 2642·1
 2016 11 2642.0
 2016 12 8342.3
 2017 01  341.9
 2017 02  642·3


 2017 03  2742·2
 2017 04  4441·1
 2017 05  2742·4
 2017 06  1642·4
 2017 07  2442.1
 2017 08  6142·3
 2017 09  8742·6
 2017 10  8942.6
 2017 11  7942.5
 2017 12  2842.5
 2018 01 942·2
 2018 02 8042·4
 2018 03 8142·3
 2018 04 6442·5
 2018 05 4342.6
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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: Average Hours, At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers: 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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