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 Series Title: Number Unemployed for 15-26 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 2815·
 2012 03 7512·
 2012 02 547.
 2012 01 309·
 2011 12  93
 2011 11  3311.
 2011 10  454.
 2011 09  5112.
 2011 08  5610·
 2011 07  2111·
 2011 06  6711.
 2011 05  18.
 2011 04  677·
 2011 03  20
 2011 02  358.
 2011 01  2610·
 2010 12 116.
 2010 11 3713·
 2010 10 8610.
 2010 09 9414.
 2010 08 591·
 2010 07 410.
 2010 06 8213·
 2010 05 99
 2010 04 661.
 2010 03 77
 2010 02 126.
 2010 01 605.
 2009 12  7219.
 2009 11  3830.
 2009 10  8915.
 2009 09  2210.
 2009 08  5418.
 2009 07  9418·
 2009 06  5037·
 2009 05  5438.
 2009 04  1028·
 2009 03  7622·
 2009 02  595.
 2009 01  508.
 2008 12 687·
 2008 11 400.
 2008 10 3
 2008 09 292.
 2008 08 770·
 2008 07 690.
 2008 06 951.
 2008 05 356.
 2008 04 12
 2008 03 694·
 2008 02 732·
 2008 01 373·
 2007 12  744.
 2007 11  721.
 2007 10  12.
 2007 09  303·
 2007 08  8810·
 2007 07  357.
 2007 06  651.
 2007 05  320·
 2007 04  50·
 2007 03  386·
 2007 02  787.
 2007 01  880·
 2006 12 01.
 2006 11 893·
 2006 10 800.
 2006 09 671·
 2006 08 731·
 2006 07 20
 2006 06 320.
 2006 05 634·
 2006 04 513·
 2006 03 863.
 2006 02 2210·
 2006 01 964.
 2005 12  824·
 2005 11  702·
 2005 10  640·
 2005 09  80·
 2005 08  433·
 2005 07  786·
 2005 06  944·
 2005 05  700·
 2005 04  358.
 2005 03  4312·
 2005 02  779.
 2005 01  763·
 2004 12 813·
 2004 11 190·
 2004 10 00·
 2004 09 440·
 2004 08 330·
 2004 07 901.
 2004 06 762.
 2004 05 190.
 2004 04 675·
 2004 03 624.
 2004 02 424.
 2004 01 702.
 2003 12  8210.
 2003 11  6610·
 2003 10  62
 2003 09  910.
 2003 08  45.
 2003 07  597·
 2003 06  2410.
 2003 05  24.
 2003 04  846.
 2003 03  237·
 2003 02  40
 2003 01  4610.
 2002 12 968.
 2002 11 646.
 2002 10 489.
 2002 09 931.
 2002 08 41
 2002 07 151.
 2002 06 124·
 2002 05 368.
 2002 04 459.
 2002 03 317.
 2002 02 1912.
 2002 01 95
 2001 12  582.
 2001 11  943·
 2001 10  813.
 2001 09  144·
 2001 08  550·
 2001 07  111.
 2001 06  385.
 2001 05  6212·
 2001 04  374.
 2001 03  144.
 2001 02  515·
 2001 01  342.
 2000 12 282.
 2000 11 591·
 2000 10 99·
 2000 09 48
 2000 08 814.
 2000 07 28
 2000 06 250.
 2000 05 489.
 2000 04 693.
 2000 03 272.
 2000 02 36
 2000 01 40.
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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 15-26 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

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