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 Series Title: Unemployment Level: Mining, quarrying, and oil and gas extraction: NSA
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 2012 04 643.
 2012 03 762.
 2012 02 6166·
 2012 01 5678·
 2011 12  959.
 2011 11  3476.
 2011 10  5169·
 2011 09  855·
 2011 08  3453·
 2011 07  1653.
 2011 06  9947·
 2011 05  1632.
 2011 04  3328.
 2011 03  3546.
 2011 02  1841·
 2011 01  2266·
 2010 12 8085·
 2010 11 9668·
 2010 10 4489·
 2010 09 9666·
 2010 08 7693.
 2010 07 3279·
 2010 06 4064·
 2010 05 3346.
 2010 04 4669.
 2010 03 9973.
 2010 02 9679·
 2010 01 5168.
 2009 12  4089·
 2009 11  7996.
 2009 10  2385·
 2009 09  9581.
 2009 08  3597.
 2009 07  7999.
 2009 06  60100.
 2009 05  3398.
 2009 04  29125·
 2009 03  30105.
 2009 02  6963·
 2009 01  6159.
 2008 12 5046.
 2008 11 8832·
 2008 10 3815·
 2008 09 9625.
 2008 08 4619·
 2008 07 3713·
 2008 06 8128.
 2008 05 8428·
 2008 04 9428·
 2008 03 8128·
 2008 02 3416.
 2008 01 9328·
 2007 12  9424·
 2007 11  5316.
 2007 10  629.
 2007 09  1725.
 2007 08  7133.
 2007 07  1033.
 2007 06  5133.
 2007 05  7622·
 2007 04  7617.
 2007 03  3224·
 2007 02  1533·
 2007 01  1435.
 2006 12 8425·
 2006 11 2722.
 2006 10 9215.
 2006 09 014·
 2006 08 9532.
 2006 07 2725.
 2006 06 4431·
 2006 05 2720·
 2006 04 3617.
 2006 03 8814.
 2006 02 6025·
 2006 01 1626·
 2005 12  5523·
 2005 11  9118·
 2005 10  522·
 2005 09  1012.
 2005 08  2912.
 2005 07  4322.
 2005 06  5825·
 2005 05  7916·
 2005 04  5819·
 2005 03  7632.
 2005 02  4225·
 2005 01  1629·
 2004 12 6816·
 2004 11 4720·
 2004 10 9015·
 2004 09 418·
 2004 08 810.
 2004 07 3728·
 2004 06 1627.
 2004 05 9822.
 2004 04 5434·
 2004 03 5322.
 2004 02 5824.
 2004 01 5531·
 2003 12  732.
 2003 11  2634.
 2003 10  7831·
 2003 09  825.
 2003 08  9220·
 2003 07  1443.
 2003 06  6536.
 2003 05  7540·
 2003 04  6041.
 2003 03  9746·
 2003 02  3241.
 2003 01  154·
 2002 12 8545·
 2002 11 8232·
 2002 10 1636·
 2002 09 5442·
 2002 08 6832.
 2002 07 219·
 2002 06 8035·
 2002 05 2926.
 2002 04 3533·
 2002 03 1228.
 2002 02 1235·
 2002 01 4533.
 2001 12  3527.
 2001 11  9420.
 2001 10  2532·
 2001 09  4623·
 2001 08  4518·
 2001 07  5617.
 2001 06  5726·
 2001 05  134.
 2001 04  6524·
 2001 03  2814·
 2001 02  7027.
 2001 01  411.
 2000 12 2020·
 2000 11 6711·
 2000 10 5439.
 2000 09 7425.
 2000 08 6023·
 2000 07 5516·
 2000 06 2013·
 2000 05 5627·
 2000 04 6120·
 2000 03 9819·
 2000 02 625.
 2000 01 1919·
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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: Unemployment Level: 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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