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 Series Title: Total At Work in Construction and Extraction Occupations, Men, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: NSA
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 2012 04 82431·
 2012 03 4352.
 2012 02 74419.
 2012 01 7511.
 2011 12  42463.
 2011 11  20724.
 2011 10  84520·
 2011 09  10368.
 2011 08  49335·
 2011 07  14412·
 2011 06  77406·
 2011 05  92440·
 2011 04  54422.
 2011 03  71416.
 2011 02  64534·
 2011 01  99627·
 2010 12 33445·
 2010 11 95575.
 2010 10 84467.
 2010 09 98387.
 2010 08 85412.
 2010 07 19504·
 2010 06 0449·
 2010 05 85506·
 2010 04 37408·
 2010 03 99472.
 2010 02 0676.
 2010 01 79410·
 2009 12  38618·
 2009 11  17771·
 2009 10  96780.
 2009 09  231750.
 2009 08  64410·
 2009 07  79403·
 2009 06  27398.
 2009 05  87390·
 2009 04  15447·
 2009 03  18405.
 2009 02  55494.
 2009 01  65526.
 2008 12 17597·
 2008 11 90756·
 2008 10 69614.
 2008 09 76628.
 2008 08 20574·
 2008 07 76535.
 2008 06 80534.
 2008 05 64593.
 2008 04 0450·
 2008 03 83454·
 2008 02 28676.
 2008 01 98645·
 2007 12  57677.
 2007 11  43622·
 2007 10  75645.
 2007 09  73481.
 2007 08  15545·
 2007 07  12640·
 2007 06  8533.
 2007 05  7429·
 2007 04  27661.
 2007 03  73502·
 2007 02  41906·
 2007 01  45744·
 2006 12 66661·
 2006 11 31818·
 2006 10 12764·
 2006 09 56643·
 2006 08 34518.
 2006 07 19566.
 2006 06 84484.
 2006 05 35550.
 2006 04 56750·
 2006 03 92671·
 2006 02 44781·
 2006 01 99582.
 2005 12  82801·
 2005 11  33799·
 2005 10  5730·
 2005 09  93517·
 2005 08  88637.
 2005 07  48600·
 2005 06  5579·
 2005 05  87525·
 2005 04  74500·
 2005 03  70654.
 2005 02  7726.
 2005 01  75767.
 2004 12 65603.
 2004 11 53923·
 2004 10 0757·
 2004 09 75646.
 2004 08 12628.
 2004 07 81520·
 2004 06 95705·
 2004 05 32549.
 2004 04 90582·
 2004 03 60529·
 2004 02 31716·
 2004 01 15464.
 2003 12  99680·
 2003 11  21695·
 2003 10  71564·
 2003 09  19478·
 2003 08  66640·
 2003 07  21624·
 2003 06  2626·
 2003 05  61596.
 2003 04  40555.
 2003 03  42562.
 2003 02  37700.
 2003 01  87520·
 2002 12 97876·
 2002 11 91813·
 2002 10 15557.
 2002 09 66471.
 2002 08 37519·
 2002 07 98532.
 2002 06 99557.
 2002 05 91484·
 2002 04 85501.
 2002 03 21553.
 2002 02 75558·
 2002 01 82547·
 2001 12  92555·
 2001 11  41712.
 2001 10  57619·
 2001 09  84646.
 2001 08  34558·
 2001 07  66534·
 2001 06  83532·
 2001 05  64471·
 2001 04  10768·
 2001 03  25571.
 2001 02  16621.
 2001 01  17716·
 2000 12 46540·
 2000 11 77636·
 2000 10 43647·
 2000 09 63453.
 2000 08 93583·
 2000 07 3517.
 2000 06 78496·
 2000 05 46528.
 2000 04 26574·
 2000 03 10568·
 2000 02 59541.
 2000 01 34544·
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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: Total At Work in Construction and Extraction Occupations, Men, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Full Time: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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