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 Series Title: Number Unemployed for Less than 5 Weeks, 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 04 378·
 2012 03 4013.
 2012 02 6514·
 2012 01 9726.
 2011 12  4316·
 2011 11  1214·
 2011 10  1917.
 2011 09  419·
 2011 08  906.
 2011 07  587.
 2011 06  4812.
 2011 05  845·
 2011 04  292.
 2011 03  5915·
 2011 02  663·
 2011 01  828·
 2010 12 3512·
 2010 11 2216.
 2010 10 1122.
 2010 09 6711·
 2010 08 915.
 2010 07 7816.
 2010 06 45
 2010 05 349.
 2010 04 765.
 2010 03 848·
 2010 02 5613.
 2010 01 021·
 2009 12  8615·
 2009 11  2214·
 2009 10  5914·
 2009 09  1112·
 2009 08  159·
 2009 07  9829·
 2009 06  8912.
 2009 05  3516.
 2009 04  6220.
 2009 03  4433·
 2009 02  1028.
 2009 01  6835·
 2008 12 5429·
 2008 11 1710·
 2008 10 118·
 2008 09 2611.
 2008 08 4110·
 2008 07 980·
 2008 06 311.
 2008 05 5612·
 2008 04 9915.
 2008 03 9414·
 2008 02 263.
 2008 01 269.
 2007 12  277·
 2007 11  3612·
 2007 10  410.
 2007 09  3012.
 2007 08  513.
 2007 07  827.
 2007 06  368·
 2007 05  8718·
 2007 04  217·
 2007 03  126.
 2007 02  2517·
 2007 01  4212·
 2006 12 1316.
 2006 11 3411·
 2006 10 466.
 2006 09 648.
 2006 08 2817.
 2006 07 7910.
 2006 06 6017.
 2006 05 4610.
 2006 04 906.
 2006 03 30·
 2006 02 576.
 2006 01 89.
 2005 12  4918.
 2005 11  89
 2005 10  491·
 2005 09  947.
 2005 08  833·
 2005 07  435·
 2005 06  745·
 2005 05  744.
 2005 04  903.
 2005 03  964·
 2005 02  9412.
 2005 01  4017.
 2004 12 966.
 2004 11 65.
 2004 10 99
 2004 09 147.
 2004 08 522·
 2004 07 5415·
 2004 06 014.
 2004 05 3711.
 2004 04 3313.
 2004 03 467.
 2004 02 356·
 2004 01 8110·
 2003 12  39
 2003 11  159.
 2003 10  68
 2003 09  3910·
 2003 08  955·
 2003 07  168·
 2003 06  865.
 2003 05  2917·
 2003 04  538·
 2003 03  32
 2003 02  315.
 2003 01  9720.
 2002 12 8818·
 2002 11 699.
 2002 10 5511.
 2002 09 1119·
 2002 08 999.
 2002 07 586·
 2002 06 713.
 2002 05 653.
 2002 04 1211.
 2002 03 578·
 2002 02 455.
 2002 01 8011.
 2001 12  7810.
 2001 11  489·
 2001 10  8314.
 2001 09  973·
 2001 08  733·
 2001 07  3515.
 2001 06  5816·
 2001 05  8817·
 2001 04  9511.
 2001 03  533.
 2001 02  3513.
 2001 01  465·
 2000 12 727·
 2000 11 562·
 2000 10 998·
 2000 09 90
 2000 08 536·
 2000 07 269.
 2000 06 657·
 2000 05 64
 2000 04 136·
 2000 03 719.
 2000 02 7010.
 2000 01 3818.
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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: Number Unemployed for Less than 5 Weeks, 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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