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 Series Title: Average Hours, At Work in Nondurable 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 3042·2
 2000 02 5942.6
 2000 03 5342.2
 2000 04 3342·2
 2000 05 4642.3
 2000 06 3842·1
 2000 07 6042·0
 2000 08 9142·1
 2000 09 9142.0
 2000 10 7941.9
 2000 11 3042.2
 2000 12 942·2
 2001 01  1541·8
 2001 02  6141·5
 2001 03  7741·9
 2001 04  3340·7
 2001 05  9442·2
 2001 06  9342·0
 2001 07  3841·7
 2001 08  3141.5
 2001 09  2841·6
 2001 10  641.7
 2001 11  7641·7
 2001 12  9842·0
 2002 01 4241·6
 2002 02 5741·5
 2002 03 7941.9
 2002 04 5342·1
 2002 05 8742.1
 2002 06 2741.9
 2002 07 6042.1
 2002 08 3941.9
 2002 09 3842·5
 2002 10 2242·3
 2002 11 5642·0
 2002 12 2741.6
 2003 01  9541.8
 2003 02  7541·6
 2003 03  3141·9
 2003 04  941.9
 2003 05  8541·7
 2003 06  4241·7
 2003 07  7341·2
 2003 08  641·5
 2003 09  5741·9
 2003 10  541·8
 2003 11  9441.8
 2003 12  6242.3
 2004 01 8742·0
 2004 02 7042.1
 2004 03 3342.4
 2004 04 4442.0
 2004 05 7542.2
 2004 06 6941·8
 2004 07 5141·6
 2004 08 4941.6
 2004 09 4642·0
 2004 10 5942.3
 2004 11 3842.2
 2004 12 9542.1
 2005 01  5241.6
 2005 02  2141.3
 2005 03  642·0
 2005 04  2541·4
 2005 05  6641.4
 2005 06  6241·7
 2005 07  9341.4
 2005 08  1042·0
 2005 09  9142.4
 2005 10  1442.1
 2005 11  6142.3
 2005 12  4242.7
 2006 01 5041·9
 2006 02 3341·7
 2006 03 9942·1
 2006 04 4341.2
 2006 05 9542.2
 2006 06 042.1
 2006 07 2042.1
 2006 08 5442.4
 2006 09 142.6
 2006 10 2442.3
 2006 11 6142·6
 2006 12 4742.0
 2007 01  6841·6
 2007 02  3441·7
 2007 03  8542.4
 2007 04  1441.7
 2007 05  2142·2
 2007 06  8842·2
 2007 07  8142.4
 2007 08  7642.4
 2007 09  1242·9
 2007 10  6842·6
 2007 11  6042.7
 2007 12  7542.2
 2008 01 1542·0
 2008 02 7941.6
 2008 03 6242.4
 2008 04 8242.5
 2008 05 3142.2
 2008 06 5541.9
 2008 07 4941.4
 2008 08 9041.4
 2008 09 8541·9
 2008 10 5041·3
 2008 11 841·2
 2008 12 1941.3
 2009 01  2840.8
 2009 02  4840·7
 2009 03  5341·1
 2009 04  1240.9
 2009 05  3541·2
 2009 06  5440·8
 2009 07  2241·2
 2009 08  3940.9
 2009 09  638.8
 2009 10  140·9
 2009 11  7741·1
 2009 12  9441.3
 2010 01 6741·3
 2010 02 4440·9
 2010 03 641·5
 2010 04 9641·5
 2010 05 6841.3
 2010 06 6641·2
 2010 07 2341·5
 2010 08 9041.6
 2010 09 8541.7
 2010 10 7342·2
 2010 11 6541.5
 2010 12 4341.7
 2011 01  1840·8
 2011 02  9741.5
 2011 03  9541·7
 2011 04  5241·4
 2011 05  9241·7
 2011 06  9541·4
 2011 07  041.0
 2011 08  3441·6
 2011 09  5742.3
 2011 10  4742·1
 2011 11  9541·3
 2011 12  3441·7
 2012 01 9041·3
 2012 02 6241.4
 2012 03 1641.1
 2012 04 2040·8
 2012 05 9141·5
 2012 06 6941.4
 2012 07 2741.5
 2012 08 8841·7
 2012 09 8441.9
 2012 10 2741.8
 2012 11 1541·3
 2012 12 5641·8
 2013 01  2041.5
 2013 02  1641·4
 2013 03  9441.2
 2013 04  6941·6
 2013 05  7641·6
 2013 06  4441.3
 2013 07  141·5
 2013 08  9542·0
 2013 09  5041.8
 2013 10  4241·6
 2013 11  9941·5
 2013 12  2840·9
 2014 01 6941·6
 2014 02 6640·5
 2014 03 7641.6
 2014 04 8941·7
 2014 05 8241·7
 2014 06 9941.7
 2014 07 4541·7
 2014 08 2041.8
 2014 09 6642·3
 2014 10 4641·8
 2014 11 4442.1
 2014 12 9142·4
 2015 01  2142·0
 2015 02  4041.6
 2015 03  3542·0
 2015 04  9741.8
 2015 05  7141·8
 2015 06  3741.9
 2015 07  742.0
 2015 08  5641.6
 2015 09  6839·6
 2015 10  1942.1
 2015 11  7341·6
 2015 12  1241.6
 2016 01 8741·4
 2016 02 9241·0
 2016 03 7041.1
 2016 04 3541·4
 2016 05 2841·9
 2016 06 8841·9
 2016 07 6141.9
 2016 08 1942·0
 2016 09 1642.1
 2016 10 6441.8
 2016 11 3541.9
 2016 12 8341.7
 2017 01  341·9
 2017 02  241·7
 2017 03  341.5
 2017 04  7140.9
 2017 05  6342.2
 2017 06  742.3


 2017 07  442·4
 2017 08  5242·0
 2017 09  9642·1
 2017 10  1242·2
 2017 11  242.0
 2017 12  2041.9
 2018 01 2941.5
 2018 02 7441.6
 2018 03 8341.9
 2018 04 9541.7
 2018 05 1142·0
 2018 06 7341·7
 2018 07 6041·7
 2018 08 2041·9
 2018 09 1941·9
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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 Nondurable 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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