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 Series Title: Number Unemployed for 15 Weeks and over, 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 4423·
 2012 03 7624.
 2012 02 5526.
 2012 01 230·
 2011 12  6232·
 2011 11  8241·
 2011 10  1431·
 2011 09  3533·
 2011 08  844·
 2011 07  4941.
 2011 06  3625.
 2011 05  3121.
 2011 04  3419·
 2011 03  5822.
 2011 02  3422.
 2011 01  3137.
 2010 12 1451·
 2010 11 1740.
 2010 10 4646·
 2010 09 649·
 2010 08 4957.
 2010 07 5752.
 2010 06 3646.
 2010 05 4930.
 2010 04 6547·
 2010 03 3447.
 2010 02 9049.
 2010 01 8033·
 2009 12  1158·
 2009 11  3067·
 2009 10  2345.
 2009 09  4345.
 2009 08  6465.
 2009 07  5244.
 2009 06  7152.
 2009 05  752.
 2009 04  2345.
 2009 03  3130·
 2009 02  989.
 2009 01  6713.
 2008 12 1512.
 2008 11 250.
 2008 10 913.
 2008 09 409·
 2008 08 88
 2008 07 148·
 2008 06 647.
 2008 05 7210.
 2008 04 1911·
 2008 03 67.
 2008 02 545.
 2008 01 313.
 2007 12  95·
 2007 11  324.
 2007 10  246·
 2007 09  139.
 2007 08  8214.
 2007 07  487.
 2007 06  621.
 2007 05  352·
 2007 04  895.
 2007 03  3710·
 2007 02  819.
 2007 01  420.
 2006 12 51·
 2006 11 54.
 2006 10 201·
 2006 09 33.
 2006 08 314·
 2006 07 836.
 2006 06 405·
 2006 05 127·
 2006 04 92
 2006 03 288.
 2006 02 2911·
 2006 01 89
 2005 12  384·
 2005 11  225.
 2005 10  10.
 2005 09  776·
 2005 08  466·
 2005 07  729·
 2005 06  9410.
 2005 05  46
 2005 04  1413·
 2005 03  925.
 2005 02  70
 2005 01  904·
 2004 12 704·
 2004 11 906.
 2004 10 1710.
 2004 09 281.
 2004 08 625.
 2004 07 9610.
 2004 06 485.
 2004 05 47.
 2004 04 6719·
 2004 03 3411.
 2004 02 212.
 2004 01 8710·
 2003 12  8420.
 2003 11  3622·
 2003 10  4020.
 2003 09  72
 2003 08  405.
 2003 07  5823·
 2003 06  5120.
 2003 05  7716.
 2003 04  8423.
 2003 03  8220.
 2003 02  4711.
 2003 01  4718.
 2002 12 9313·
 2002 11 1512·
 2002 10 6812.
 2002 09 513.
 2002 08 6511·
 2002 07 888.
 2002 06 7411·
 2002 05 8216·
 2002 04 2812·
 2002 03 5813.
 2002 02 5512.
 2002 01 616.
 2001 12  314·
 2001 11  76·
 2001 10  2413.
 2001 09  3113·
 2001 08  495.
 2001 07  411.
 2001 06  175·
 2001 05  6213·
 2001 04  838·
 2001 03  914.
 2001 02  985.
 2001 01  464·
 2000 12 59
 2000 11 155.
 2000 10 5620.
 2000 09 59.
 2000 08 2611·
 2000 07 944.
 2000 06 20·
 2000 05 8110·
 2000 04 603.
 2000 03 355.
 2000 02 743.
 2000 01 45
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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 15 Weeks and over, 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

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