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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  |  Excel file  |  Self-updating Excel file
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 2012 04 142.3
 2012 03 1041.9
 2012 02 5342.1
 2012 01 8242·4
 2011 12  7642·8
 2011 11  1242.6
 2011 10  7142.2
 2011 09  6542.3
 2011 08  8541·9
 2011 07  8042.0
 2011 06  5942·4
 2011 05  1542·5
 2011 04  8042·3
 2011 03  9842.5
 2011 02  3041.9
 2011 01  7741.2
 2010 12 3641.9
 2010 11 7141·8
 2010 10 2142·0
 2010 09 2042·2
 2010 08 5341.9
 2010 07 3242·0
 2010 06 9542.1
 2010 05 3742.4
 2010 04 5742·3
 2010 03 3642.2
 2010 02 4141.5
 2010 01 4841·8
 2009 12  9741·8
 2009 11  6541·5
 2009 10  7141·5
 2009 09  9838.3
 2009 08  5040·8
 2009 07  2741·2
 2009 06  2240.8
 2009 05  5440.9
 2009 04  1640·9
 2009 03  5241.3
 2009 02  5941.2
 2009 01  1341·2
 2008 12 2141·7
 2008 11 9841.3
 2008 10 6842·0
 2008 09 9142·2
 2008 08 1342·5
 2008 07 4642·0
 2008 06 6342.7
 2008 05 3442.6
 2008 04 7042.6
 2008 03 242.7
 2008 02 8242·4
 2008 01 1242·6
 2007 12  9142·8
 2007 11  9842·9
 2007 10  8743.1
 2007 09  1743.1
 2007 08  242·7
 2007 07  9242.4
 2007 06  6643·0
 2007 05  6942.7
 2007 04  5442·4
 2007 03  6442·6
 2007 02  3341.9
 2007 01  1242.1
 2006 12 2042.8
 2006 11 2142.7
 2006 10 2542·6
 2006 09 1643·2
 2006 08 342.4
 2006 07 9542.7
 2006 06 543·0
 2006 05 7442.7
 2006 04 2741·3
 2006 03 4242.5
 2006 02 6142.5
 2006 01 642.5
 2005 12  4342·8
 2005 11  4542·9
 2005 10  542.7
 2005 09  5643·0
 2005 08  2542.5
 2005 07  942·2
 2005 06  7642.9
 2005 05  9342·5
 2005 04  7642.4
 2005 03  6742.9
 2005 02  3742·6
 2005 01  1142·8
 2004 12 1942.8
 2004 11 7542·5
 2004 10 7542·6
 2004 09 2942.5
 2004 08 542·4
 2004 07 1442·3
 2004 06 442·6
 2004 05 9142.5
 2004 04 1142·3
 2004 03 9243·0
 2004 02 6142·7
 2004 01 6742·9
 2003 12  3543·1
 2003 11  4042·6
 2003 10  942·5
 2003 09  5142·8
 2003 08  441·7
 2003 07  1442.0
 2003 06  3642.5
 2003 05  6142.4
 2003 04  6742.3
 2003 03  9642.2
 2003 02  5541·8
 2003 01  4242.2
 2002 12 142·3
 2002 11 9442.5
 2002 10 442.6
 2002 09 6442·9
 2002 08 642.3
 2002 07 3842.1
 2002 06 4542·5
 2002 05 1942·5
 2002 04 642·6
 2002 03 8542·4
 2002 02 6741·9
 2002 01 2842.0
 2001 12  5342.2
 2001 11  1641.7
 2001 10  8342.0
 2001 09  3542·1
 2001 08  2242·4
 2001 07  4042.2
 2001 06  3042.3
 2001 05  842.3
 2001 04  1340·5
 2001 03  8642·3
 2001 02  7142.1
 2001 01  4242·0
 2000 12 5142.8
 2000 11 1242·4
 2000 10 9542.8
 2000 09 5543·1
 2000 08 8842.9
 2000 07 042·8
 2000 06 1342·5
 2000 05 9343·1
 2000 04 9843·1
 2000 03 5543·2
 2000 02 6543.3
 2000 01 2442·9
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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: 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
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