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 Series Title: Median Weeks Unemployed, 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 04 110·0
 2012 03 360·0
 2012 02 140·0
 2012 01 6510·1
 2011 12  370.0
 2011 11  7517·1
 2011 06  3016.3
 2011 05  8219.0
 2011 04  9121·0
 2011 03  7514·3
 2011 02  1024·2
 2011 01  6018·3
 2010 12 2423·7
 2010 11 1722·5
 2010 10 6616.1
 2010 09 4333.4
 2010 08 1335.2
 2010 07 829.5
 2010 06 3626.8
 2010 05 121.5
 2010 04 5647.3
 2010 03 8133.4
 2010 02 8428.7
 2010 01 2714.1
 2009 12  7924.6
 2009 11  9123.0
 2009 10  9616·7
 2009 09  4119·5
 2009 08  3323·0
 2009 07  2013.0
 2009 06  8615·4
 2009 05  8715·2
 2009 04  9411.8
 2009 03  748.5
 2009 02  925·1
 2009 01  343.7
 2008 12 613.3
 2008 11 877·4
 2008 10 774.2
 2008 09 7611·6
 2008 08 604.0
 2008 07 1336·8
 2008 06 285.7
 2008 05 325.7
 2008 04 414.4
 2008 03 356.6
 2008 02 5812.6
 2008 01 478.3
 2007 12  815.5
 2007 11  603·5
 2007 10  620·6
 2007 09  897·0
 2007 08  7813·1
 2007 07  188·8
 2007 06  346.9
 2007 05  532.4
 2007 04  595.6
 2007 03  6812.5
 2007 02  304·5
 2007 01  586·3
 2006 12 733·0
 2006 11 897·1
 2006 10 77·5
 2006 09 484.0
 2006 08 974·2
 2006 07 905·2
 2006 06 33.9
 2006 05 924.4
 2006 04 319·6
 2006 03 117·8
 2006 02 8113·3
 2006 01 848.2
 2005 12  03.3
 2005 11  798·6
 2005 10  296·8
 2005 09  434·2
 2005 08  5414·5
 2005 07  611·6
 2005 06  5911.5
 2005 05  1513.4
 2005 04  6924·8
 2005 03  8822.8
 2005 02  99·1
 2005 01  664·1
 2004 12 468.5
 2004 11 5811.5
 2004 10 4339.1
 2004 09 932.0
 2004 08 910·4
 2004 07 724·3
 2004 06 484.3
 2004 05 144·3
 2004 04 925·3
 2004 03 1112.5
 2004 02 3714.6
 2004 01 7310·0
 2003 12  2122·5
 2003 11  8218·9
 2003 10  4820.9
 2003 09  3910·9
 2003 08  479.5
 2003 07  1623·8
 2003 06  4416.0
 2003 05  69.5
 2003 04  1017·2
 2003 03  7112.5
 2003 02  139.3
 2003 01  947.3
 2002 12 6311.1
 2002 11 2812·2
 2002 10 679.2
 2002 09 476·0
 2002 08 7910·6
 2002 07 946.4
 2002 06 4510·8
 2002 05 3317.8
 2002 04 5912.3
 2002 03 013·9
 2002 02 1010.2
 2002 01 487·4
 2001 12  306·0
 2001 11  36·1
 2001 10  4811.6
 2001 09  926·1
 2001 08  408.6
 2001 07  843·1
 2001 06  754.0
 2001 05  624·5
 2001 04  667.0
 2001 03  5111·8
 2001 02  265.2
 2001 01  757.8
 2000 12 812·8
 2000 11 3412.6
 2000 10 6515·3
 2000 09 439.1
 2000 08 9213·8
 2000 07 914.2
 2000 06 802·9
 2000 05 8511·1
 2000 04 677.7
 2000 03 38·4
 2000 02 846.7
 2000 01 443.1
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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: Median Weeks Unemployed, 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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