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 Series Title: Employment Level: Construction and Extraction Occupations in Mining, quarrying, and oil and gas extraction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 11352.
 2012 03 11344·
 2012 02 28343·
 2012 01 71300·
 2011 12  74352.
 2011 11  71384·
 2011 10  0350·
 2011 09  28360.
 2011 08  3347·
 2011 07  30313.
 2011 06  74325.
 2011 05  84315.
 2011 04  49339.
 2011 03  69294·
 2011 02  61311·
 2011 01  83315·
 2010 12 87282·
 2010 11 94270.
 2010 10 99268.
 2010 09 93266.
 2010 08 17288·
 2010 07 38263·
 2010 06 53241.
 2010 05 10258.
 2010 04 65276.
 2010 03 58266·
 2010 02 9285.
 2010 01 52268.
 2009 12  82252.
 2009 11  33260.
 2009 10  80251.
 2009 09  63236.
 2009 08  42238.
 2009 07  72199·
 2009 06  4187·
 2009 05  13196·
 2009 04  47202.
 2009 03  6254.
 2009 02  45261.
 2009 01  95292·
 2008 12 20311·
 2008 11 92313.
 2008 10 90380.
 2008 09 29340·
 2008 08 14316.
 2008 07 11293.
 2008 06 51274.
 2008 05 59242.
 2008 04 3257·
 2008 03 69244.
 2008 02 68208.
 2008 01 55236.
 2007 12  88232.
 2007 11  0230·
 2007 10  2260·
 2007 09  9298·
 2007 08  93264.
 2007 07  58273·
 2007 06  41260.
 2007 05  42252·
 2007 04  70274.
 2007 03  26265.
 2007 02  0241.
 2007 01  97233·
 2006 12 94236·
 2006 11 11230.
 2006 10 14220·
 2006 09 44221.
 2006 08 65239·
 2006 07 43227.
 2006 06 48246.
 2006 05 77276·
 2006 04 9268.
 2006 03 81298.
 2006 02 89263·
 2006 01 14248.
 2005 12  75241·
 2005 11  5222.
 2005 10  50207.
 2005 09  1227.
 2005 08  40224·
 2005 07  21199·
 2005 06  69225·
 2005 05  6245.
 2005 04  4219·
 2005 03  63187.
 2005 02  9182.
 2005 01  23166·
 2004 12 92190.
 2004 11 86185·
 2004 10 57176·
 2004 09 71185·
 2004 08 54201·
 2004 07 71187·
 2004 06 27196.
 2004 05 96187.
 2004 04 67203·
 2004 03 26201·
 2004 02 57156.
 2004 01 65167.
 2003 12  29163·
 2003 11  83147.
 2003 10  9157·
 2003 09  73162.
 2003 08  68172.
 2003 07  97171·
 2003 06  71139·
 2003 05  38152.
 2003 04  32132·
 2003 03  51152·
 2003 02  57185·
 2003 01  7185.
 2002 12 98188·
 2002 11 50178·
 2002 10 4168·
 2002 09 46150.
 2002 08 66150.
 2002 07 28156·
 2002 06 74155·
 2002 05 51167.
 2002 04 61166.
 2002 03 40163·
 2002 02 56138.
 2002 01 40138.
 2001 12  34146.
 2001 11  68165.
 2001 10  64175.
 2001 09  59162.
 2001 08  60174·
 2001 07  19185.
 2001 06  33156·
 2001 05  75178·
 2001 04  39157.
 2001 03  24154·
 2001 02  28147·
 2001 01  83156·
 2000 12 97164.
 2000 11 40195.
 2000 10 37158·
 2000 09 2155·
 2000 08 85131·
 2000 07 48137·
 2000 06 72142.
 2000 05 77148.
 2000 04 77156·
 2000 03 56155.
 2000 02 71153·
 2000 01 76164.
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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 Mining, quarrying, and oil and gas extraction: 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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