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 Series Title: Average Hours, At Work in Construction and Extraction Occupations, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5640·3
 2012 03 5139·6
 2012 02 3439·0
 2012 01 738.3
 2011 12  9638·9
 2011 11  3239.4
 2011 10  4439.4
 2011 09  9339.9
 2011 08  2239.5
 2011 07  2939·5
 2011 06  7339.5
 2011 05  9739.0
 2011 04  8338·9
 2011 03  2638·4
 2011 02  3537·8
 2011 01  6337.5
 2010 12 5637.9
 2010 11 2838·4
 2010 10 6839·1
 2010 09 6038·8
 2010 08 3938·9
 2010 07 6738.5
 2010 06 3338·4
 2010 05 8138.1
 2010 04 5938.3
 2010 03 036·9
 2010 02 2036.3
 2010 01 4637·3
 2009 12  6636·9
 2009 11  937·5
 2009 10  4237·4
 2009 09  9936·0
 2009 08  3638.5
 2009 07  9938·4
 2009 06  3538.3
 2009 05  1037.8
 2009 04  6837·7
 2009 03  437·5
 2009 02  6337·3
 2009 01  7237·6
 2008 12 8938·0
 2008 11 7838.4
 2008 10 1339.6
 2008 09 539·9
 2008 08 4840.3
 2008 07 540·4
 2008 06 040·2
 2008 05 5240·0
 2008 04 2139.7
 2008 03 9039·7
 2008 02 6038·8
 2008 01 8339.1
 2007 12  939·7
 2007 11  6540.1
 2007 10  5640.6
 2007 09  9240.8
 2007 08  3640·8
 2007 07  8840·6
 2007 06  7740.6
 2007 05  9840·9
 2007 04  5440.3
 2007 03  3840.5
 2007 02  3539·0
 2007 01  4539.1
 2006 12 3739·8
 2006 11 2540.1
 2006 10 6940·5
 2006 09 340.6
 2006 08 8641.1
 2006 07 7741.0
 2006 06 4041·4
 2006 05 6540.7
 2006 04 2640·3
 2006 03 5440·2
 2006 02 3739·8
 2006 01 5140·0
 2005 12  839.9
 2005 11  3540.5
 2005 10  7340.9
 2005 09  540·8
 2005 08  840·7
 2005 07  2841.0
 2005 06  8640·8
 2005 05  9540·4
 2005 04  2440·3
 2005 03  6540.2
 2005 02  3839·6
 2005 01  1739.3
 2004 12 8440·0
 2004 11 239.9
 2004 10 1740·6
 2004 09 8940.7
 2004 08 3740·9
 2004 07 2040·9
 2004 06 3740·5
 2004 05 5540.6
 2004 04 5939·9
 2004 03 2740.0
 2004 02 3639·3
 2004 01 8539·9
 2003 12  4939.8
 2003 11  5340.0
 2003 10  7540.5
 2003 09  7340.5
 2003 08  3540.7
 2003 07  5640.4
 2003 06  4440.1
 2003 05  3739·9
 2003 04  6539.5
 2003 03  1839.6
 2003 02  5438.9
 2003 01  2239·3
 2002 12 1539·0
 2002 11 4439·9
 2002 10 4440·8
 2002 09 9841.0
 2002 08 8641.1
 2002 07 6740·9
 2002 06 7740.6
 2002 05 5740.3
 2002 04 340·5
 2002 03 4339.4
 2002 02 4139.5
 2002 01 2039·9
 2001 12  1640·4
 2001 11  5440·2
 2001 10  4840·6
 2001 09  3040·5
 2001 08  141.4
 2001 07  641.2
 2001 06  3641.2
 2001 05  5741.1
 2001 04  5840·2
 2001 03  3140·4
 2001 02  6940.1
 2001 01  9539·9
 2000 12 1340.5
 2000 11 8640·8
 2000 10 3441·2
 2000 09 6341·4
 2000 08 1641.1
 2000 07 5241·6
 2000 06 4441·6
 2000 05 441·0
 2000 04 4340.9
 2000 03 3740·5
 2000 02 3640.4
 2000 01 8940·5
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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 Construction and Extraction Occupations, Men: 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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