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 Series Title: Employment Level: Construction and Extraction Occupations in Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 74286.
 2012 03 83307·
 2012 02 95342.
 2012 01 31283·
 2011 12  37321·
 2011 11  59293.
 2011 10  49273·
 2011 09  85274.
 2011 08  28254.
 2011 07  96262·
 2011 06  66274.
 2011 05  1277·
 2011 04  99256·
 2011 03  76319.
 2011 02  60326.
 2011 01  21295.
 2010 12 25322.
 2010 11 5271·
 2010 10 67285·
 2010 09 16304.
 2010 08 5339.
 2010 07 15333·
 2010 06 52290.
 2010 05 80265·
 2010 04 66251·
 2010 03 62294·
 2010 02 2295·
 2010 01 32302.
 2009 12  58273.
 2009 11  29290·
 2009 10  30277.
 2009 09  15277.
 2009 08  56307·
 2009 07  21303.
 2009 06  73277.
 2009 05  99273.
 2009 04  61308.
 2009 03  71295·
 2009 02  95350.
 2009 01  79355.
 2008 12 97332·
 2008 11 35281·
 2008 10 84308.
 2008 09 72247.
 2008 08 16305·
 2008 07 95353.
 2008 06 52371.
 2008 05 25345.
 2008 04 93307.
 2008 03 57325.
 2008 02 37348·
 2008 01 4342·
 2007 12  28331·
 2007 11  53318.
 2007 10  3323·
 2007 09  6356·
 2007 08  46347·
 2007 07  39359·
 2007 06  36353.
 2007 05  48408.
 2007 04  98335.
 2007 03  98398.
 2007 02  51361.
 2007 01  76356.
 2006 12 60366.
 2006 11 36346.
 2006 10 84350·
 2006 09 57360·
 2006 08 31332.
 2006 07 85328·
 2006 06 0350·
 2006 05 87320.
 2006 04 37287.
 2006 03 0338·
 2006 02 85329.
 2006 01 84333.
 2005 12  29382·
 2005 11  65388·
 2005 10  52372.
 2005 09  93322·
 2005 08  82349·
 2005 07  85338·
 2005 06  40320.
 2005 05  82287.
 2005 04  96264·
 2005 03  92318·
 2005 02  11295.
 2005 01  46328.
 2004 12 96357·
 2004 11 43357.
 2004 10 54354·
 2004 09 4387·
 2004 08 34385.
 2004 07 20359·
 2004 06 80319·
 2004 05 1321.
 2004 04 84287.
 2004 03 28293.
 2004 02 29315·
 2004 01 4325·
 2003 12  47334·
 2003 11  0306·
 2003 10  62309·
 2003 09  9376.
 2003 08  48375.
 2003 07  93363.
 2003 06  69355·
 2003 05  35340.
 2003 04  37331.
 2003 03  87380·
 2003 02  61379.
 2003 01  25358.
 2002 12 91387·
 2002 11 91372·
 2002 10 76384.
 2002 09 49390·
 2002 08 9397.
 2002 07 34422.
 2002 06 78439.
 2002 05 1437.
 2002 04 17401·
 2002 03 74421.
 2002 02 55405·
 2002 01 0369.
 2001 12  65411·
 2001 11  93376.
 2001 10  18345·
 2001 09  90388·
 2001 08  29421·
 2001 07  97446·
 2001 06  7497.
 2001 05  41473.
 2001 04  8470·
 2001 03  18447.
 2001 02  83408·
 2001 01  46403.
 2000 12 29400·
 2000 11 12356.
 2000 10 36388·
 2000 09 25425.
 2000 08 42454.
 2000 07 62485·
 2000 06 77528.
 2000 05 22530·
 2000 04 21496.
 2000 03 73444·
 2000 02 46458·
 2000 01 5412·
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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: Employment Level: Construction and Extraction Occupations in Manufacturing Industry: 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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