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 Series Title: Average Hours, At Work in 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 2641.7
 2012 03 6641·6
 2012 02 6641.9
 2012 01 942·0
 2011 12  442·4
 2011 11  6042·1
 2011 10  9142·2
 2011 09  3742·3
 2011 08  2341.8
 2011 07  2841.6
 2011 06  9242·0
 2011 05  4042·2
 2011 04  3442.0
 2011 03  5142·2
 2011 02  8241·7
 2011 01  6041·1
 2010 12 1241.8
 2010 11 3541.7
 2010 10 9842.1
 2010 09 6742·0
 2010 08 5841·8
 2010 07 1341·8
 2010 06 441·8
 2010 05 5542.0
 2010 04 9642.0
 2010 03 4241·9
 2010 02 8841.3
 2010 01 4341·6
 2009 12  7841·7
 2009 11  141.4
 2009 10  6241.3
 2009 09  7638.5
 2009 08  7940·8
 2009 07  9941.2
 2009 06  6440·8
 2009 05  2241.0
 2009 04  9840.9
 2009 03  6741.2
 2009 02  5741·0
 2009 01  7641·1
 2008 12 6241·5
 2008 11 6241.3
 2008 10 3041.8
 2008 09 5742·1
 2008 08 2142.1
 2008 07 6541·8
 2008 06 9442·4
 2008 05 942·5
 2008 04 5042·6
 2008 03 8242·6
 2008 02 8842·1
 2008 01 042·4
 2007 12  5042.6
 2007 11  4742·8
 2007 10  7542·9
 2007 09  2643.0
 2007 08  4642·6
 2007 07  1442·4
 2007 06  4242.7
 2007 05  542.5
 2007 04  8842.1
 2007 03  6642.5
 2007 02  341·9
 2007 01  8241·9
 2006 12 5242·5
 2006 11 1042·7
 2006 10 9642.5
 2006 09 2543.0
 2006 08 3942·4
 2006 07 7642·5
 2006 06 8242.7
 2006 05 3042·5
 2006 04 7341.2
 2006 03 2342·4
 2006 02 5142.2
 2006 01 1442.3
 2005 12  442.8
 2005 11  3042.7
 2005 10  1542.5
 2005 09  2242·8
 2005 08  1042.3
 2005 07  641.9
 2005 06  1142.4
 2005 05  2342·1
 2005 04  8842.0
 2005 03  8242·6
 2005 02  442.1
 2005 01  1242.3
 2004 12 6742.5
 2004 11 1342·4
 2004 10 8042.5
 2004 09 742·3
 2004 08 9442.1
 2004 07 8342.0
 2004 06 5342.3
 2004 05 5242.4
 2004 04 4742·2
 2004 03 9742·8
 2004 02 6142.5
 2004 01 1842.6
 2003 12  2542.8
 2003 11  8742.3
 2003 10  6542.3
 2003 09  9742.5
 2003 08  5341·6
 2003 07  1141·7
 2003 06  5542.2
 2003 05  1042·1
 2003 04  8342.1
 2003 03  4842.1
 2003 02  4441.7
 2003 01  9942·0
 2002 12 8942·0
 2002 11 742.3
 2002 10 6842.5
 2002 09 3542·7
 2002 08 7242.1
 2002 07 1942.1
 2002 06 9142·3
 2002 05 1242·3
 2002 04 5842.4
 2002 03 4042·2
 2002 02 141·8
 2002 01 4841.8
 2001 12  9642.1
 2001 11  5241·7
 2001 10  1141.9
 2001 09  8741·9
 2001 08  6242·0
 2001 07  6142·0
 2001 06  5942.2
 2001 05  042.3
 2001 04  5640.6
 2001 03  042.2
 2001 02  741·9
 2001 01  8042·0
 2000 12 542.6
 2000 11 2542.3
 2000 10 4342·4
 2000 09 4542.7
 2000 08 5742.6
 2000 07 1842.5
 2000 06 8142·3
 2000 05 4142·8
 2000 04 9042.8
 2000 03 8542·9
 2000 02 5843·0
 2000 01 3742.6
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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 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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