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 Series Title: Men, employed government wage and salary workers in Construction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 68348.
 2012 03 99359.
 2012 02 47376.
 2012 01 21411·
 2011 12  56414.
 2011 11  84410·
 2011 10  44366.
 2011 09  4349.
 2011 08  10367.
 2011 07  68353·
 2011 06  43331.
 2011 05  84318·
 2011 04  80375.
 2011 03  32372.
 2011 02  55417·
 2011 01  8402.
 2010 12 43406.
 2010 11 82340·
 2010 10 19356.
 2010 09 44355.
 2010 08 99380.
 2010 07 51426·
 2010 06 97414·
 2010 05 85404.
 2010 04 72413·
 2010 03 95418.
 2010 02 78439·
 2010 01 52457.
 2009 12  14444.
 2009 11  96379.
 2009 10  74375.
 2009 09  88372·
 2009 08  99436.
 2009 07  60451·
 2009 06  23453.
 2009 05  63461.
 2009 04  28403.
 2009 03  19409.
 2009 02  89443·
 2009 01  71419·
 2008 12 27415.
 2008 11 30422.
 2008 10 59423·
 2008 09 30413·
 2008 08 46422.
 2008 07 74403·
 2008 06 45378.
 2008 05 85382·
 2008 04 60354.
 2008 03 57379·
 2008 02 87375·
 2008 01 5369.
 2007 12  69326·
 2007 11  13341·
 2007 10  46367.
 2007 09  84357.
 2007 08  0404·
 2007 07  96404.
 2007 06  11425.
 2007 05  42440.
 2007 04  2471.
 2007 03  89453·
 2007 02  94426.
 2007 01  22421.
 2006 12 51461·
 2006 11 99430.
 2006 10 33412.
 2006 09 94407.
 2006 08 47406.
 2006 07 56377.
 2006 06 92395·
 2006 05 52368.
 2006 04 15365·
 2006 03 19401.
 2006 02 58390.
 2006 01 15374.
 2005 12  7375·
 2005 11  68376.
 2005 10  44377.
 2005 09  26382·
 2005 08  97401·
 2005 07  9424·
 2005 06  88402.
 2005 05  56420.
 2005 04  86430.
 2005 03  76437.
 2005 02  53438.
 2005 01  98445.
 2004 12 99426·
 2004 11 23476.
 2004 10 26459.
 2004 09 72435.
 2004 08 86444.
 2004 07 34469.
 2004 06 22443.
 2004 05 21435·
 2004 04 23432.
 2004 03 14400.
 2004 02 76399·
 2004 01 15418·
 2003 12  11415·
 2003 11  96475.
 2003 10  53481.
 2003 09  48465.
 2003 08  74519·
 2003 07  35531.
 2003 06  41524·
 2003 05  39489·
 2003 04  64418.
 2003 03  13363.
 2003 02  51382·
 2003 01  32414·
 2002 12 55391·
 2002 11 38440·
 2002 10 23418·
 2002 09 96408.
 2002 08 48416·
 2002 07 41461·
 2002 06 18456.
 2002 05 26422.
 2002 04 68408.
 2002 03 78411.
 2002 02 26400.
 2002 01 41423·
 2001 12  66399.
 2001 11  31379·
 2001 10  58390.
 2001 09  84387.
 2001 08  16391·
 2001 07  7385·
 2001 06  52385.
 2001 05  25365·
 2001 04  21364.
 2001 03  37380·
 2001 02  73373.
 2001 01  58389.
 2000 12 4400·
 2000 11 78392·
 2000 10 6399.
 2000 09 3395.
 2000 08 16396·
 2000 07 11441.
 2000 06 66463.
 2000 05 2485·
 2000 04 33451·
 2000 03 44392.
 2000 02 90376·
 2000 01 26394.
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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: Men, employed government wage and salary workers in Construction: 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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