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 Series Title: Employment Level: Sales and Related 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 1421·
 2012 03 4216.
 2012 02 6522.
 2012 01 7922.
 2011 12  518·
 2011 11  658·
 2011 10  846.
 2011 09  175·
 2011 08  9918·
 2011 07  2315·
 2011 06  4215·
 2011 05  9219.
 2011 04  4816.
 2011 03  016.
 2011 02  5010.
 2011 01  4618·
 2010 12 2612·
 2010 11 02·
 2010 10 482.
 2010 09 503.
 2010 08 3511.
 2010 07 5616.
 2010 06 9813·
 2010 05 9812.
 2010 04 984.
 2010 03 254.
 2010 02 89
 2010 01 94·
 2009 12  68
 2009 11  888.
 2009 10  3110.
 2009 09  2610·
 2009 08  196·
 2009 07  527.
 2009 06  658.
 2009 05  195.
 2009 04  518.
 2009 03  497.
 2009 02  520·
 2009 01  835.
 2008 12 9015·
 2008 11 3411·
 2008 10 8116·
 2008 09 3520.
 2008 08 8714·
 2008 07 9014.
 2008 06 643·
 2008 05 226·
 2008 04 166.
 2008 03 247·
 2008 02 408·
 2008 01 1010·
 2007 12  795.
 2007 11  666.
 2007 10  716.
 2007 09  962·
 2007 08  01·
 2007 07  744.
 2007 06  458·
 2007 05  9723.
 2007 04  3022.
 2007 03  3020·
 2007 02  7515.
 2007 01  5811·
 2006 12 44
 2006 11 399.
 2006 10 986.
 2006 09 4910·
 2006 08 437.
 2006 07 348·
 2006 06 798.
 2006 05 621·
 2006 04 526·
 2006 03 7114·
 2006 02 410·
 2006 01 1913.
 2005 12  2112.
 2005 11  322·
 2005 10  873.
 2005 09  614·
 2005 08  2712.
 2005 07  2413·
 2005 06  6510·
 2005 05  6013·
 2005 04  6914.
 2005 03  787.
 2005 02  17.
 2005 01  80.
 2004 12 722.
 2004 11 505·
 2004 10 8411·
 2004 09 2514·
 2004 08 8717·
 2004 07 2315.
 2004 06 2617·
 2004 05 5513·
 2004 04 906·
 2004 03 36·
 2004 02 651.
 2004 01 682.
 2003 12  814.
 2003 11  224·
 2003 10  635·
 2003 09  57
 2003 08  843.
 2003 07  366·
 2003 06  1010.
 2003 05  416.
 2003 04  52
 2003 03  278·
 2003 02  175·
 2003 01  655.
 2002 12 585·
 2002 11 1
 2002 10 23
 2002 09 982.
 2002 08 41·
 2002 07 913·
 2002 06 903·
 2002 05 348.
 2002 04 159·
 2002 03 5310·
 2002 02 712·
 2002 01 9211.
 2001 12  408·
 2001 11  686·
 2001 10  8510·
 2001 09  17
 2001 08  5710·
 2001 07  448.
 2001 06  6416·
 2001 05  7616·
 2001 04  6410.
 2001 03  1111.
 2001 02  6
 2001 01  6610.
 2000 12 8710·
 2000 11 277.
 2000 10 99
 2000 09 32.
 2000 08 787.
 2000 07 734·
 2000 06 563.
 2000 05 343·
 2000 04 101·
 2000 03 568·
 2000 02 1410.
 2000 01 279.
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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: Sales and Related 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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