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 Series Title: Average Hours, At Work in Construction 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 4140.2
 2012 03 1640·0
 2012 02 9239·3
 2012 01 2939·0
 2011 12  1039·3
 2011 11  1939.8
 2011 10  4540·1
 2011 09  440.5
 2011 08  9440.2
 2011 07  7140·2
 2011 06  4939.9
 2011 05  2839.7
 2011 04  4539·4
 2011 03  5338·9
 2011 02  1638.6
 2011 01  4438·2
 2010 12 3939.0
 2010 11 7139.0
 2010 10 8640.0
 2010 09 2339.8
 2010 08 7539·5
 2010 07 5839.6
 2010 06 1939·5
 2010 05 5839.1
 2010 04 7839.1
 2010 03 7038.5
 2010 02 637·7
 2010 01 6738.5
 2009 12  138.3
 2009 11  8938.8
 2009 10  5738.8
 2009 09  9736·6
 2009 08  1639.4
 2009 07  2139·3
 2009 06  1238·9
 2009 05  1438·6
 2009 04  2638·6
 2009 03  9838·7
 2009 02  3338·5
 2009 01  1538.9
 2008 12 5539.1
 2008 11 7739·3
 2008 10 940.0
 2008 09 1740·2
 2008 08 5540·5
 2008 07 3940·5
 2008 06 5140.5
 2008 05 6540.5
 2008 04 9940·4
 2008 03 9040.2
 2008 02 9739·6
 2008 01 2839.7
 2007 12  8940·3
 2007 11  6341.0
 2007 10  1240.9
 2007 09  141.3
 2007 08  5041·1
 2007 07  1541·1
 2007 06  8241.3
 2007 05  141·2
 2007 04  3340.6
 2007 03  2640·4
 2007 02  2139.3
 2007 01  7439.4
 2006 12 1240·2
 2006 11 340·8
 2006 10 6641.0
 2006 09 8941.0
 2006 08 8841·6
 2006 07 7941.3
 2006 06 8041·4
 2006 05 4040.8
 2006 04 8740.3
 2006 03 940·3
 2006 02 5240·1
 2006 01 4540.3
 2005 12  6040·4
 2005 11  7641.0
 2005 10  9341·4
 2005 09  5041·2
 2005 08  8041.3
 2005 07  8641.2
 2005 06  4341·1
 2005 05  2340.7
 2005 04  4940.3
 2005 03  7040.4
 2005 02  6339·7
 2005 01  5839.6
 2004 12 9240·3
 2004 11 8640·3
 2004 10 4241·2
 2004 09 7540.9
 2004 08 6041·3
 2004 07 1541.3
 2004 06 9240·8
 2004 05 1741·1
 2004 04 2840.4
 2004 03 6340.5
 2004 02 5339·8
 2004 01 5440.2
 2003 12  9640·3
 2003 11  6240.5
 2003 10  8541.3
 2003 09  8041·0
 2003 08  9041.1
 2003 07  6940·7
 2003 06  7840.9
 2003 05  1440·7
 2003 04  6040.4
 2003 03  6640.2
 2003 02  4439·6
 2003 01  040·1
 2002 12 8239·6
 2002 11 5940.1
 2002 10 2141.0
 2002 09 741·3
 2002 08 5541·4
 2002 07 7941·2
 2002 06 7241.0
 2002 05 3040·7
 2002 04 641.0
 2002 03 8440.1
 2002 02 8540·1
 2002 01 8740·3
 2001 12  8440·8
 2001 11  5540.5
 2001 10  7241·1
 2001 09  2441.0
 2001 08  6541.6
 2001 07  9941·7
 2001 06  7341.2
 2001 05  841.4
 2001 04  5040.4
 2001 03  4740·6
 2001 02  4840.5
 2001 01  3440·7
 2000 12 6441·0
 2000 11 5640·9
 2000 10 8741·8
 2000 09 2141.8
 2000 08 5641·8
 2000 07 741·9
 2000 06 342.0
 2000 05 1441·6
 2000 04 441·0
 2000 03 840.6
 2000 02 3240·9
 2000 01 8140·7
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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 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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