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 Series Title: Unemployment Level: Mining, quarrying, and oil and gas extraction, Nonagricultural Private Wage and Salary Workers: NSA
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 2012 04 943·
 2012 03 9062.
 2012 02 6366·
 2012 01 578·
 2011 12  1959·
 2011 11  876·
 2011 10  7869.
 2011 09  6655.
 2011 08  8853.
 2011 07  1753.
 2011 06  8946·
 2011 05  2032·
 2011 04  6728.
 2011 03  146·
 2011 02  641.
 2011 01  1066·
 2010 12 3383.
 2010 11 6568.
 2010 10 7089.
 2010 09 666·
 2010 08 8593·
 2010 07 4279.
 2010 06 4164.
 2010 05 246·
 2010 04 4869·
 2010 03 8773.
 2010 02 979.
 2010 01 1768.
 2009 12  7489.
 2009 11  8296.
 2009 10  8684.
 2009 09  9576.
 2009 08  3793.
 2009 07  3595.
 2009 06  10100.
 2009 05  598.
 2009 04  37125·
 2009 03  76105·
 2009 02  4463.
 2009 01  4259·
 2008 12 146·
 2008 11 6332.
 2008 10 7615.
 2008 09 2425·
 2008 08 7917·
 2008 07 7713·
 2008 06 1828·
 2008 05 9628.
 2008 04 4628·
 2008 03 2428·
 2008 02 916·
 2008 01 2628.
 2007 12  124·
 2007 11  3716·
 2007 10  11
 2007 09  1025·
 2007 08  7233·
 2007 07  7133·
 2007 06  1333.
 2007 05  6622·
 2007 04  817·
 2007 03  924.
 2007 02  2733.
 2007 01  3735·
 2006 12 8525·
 2006 11 5722.
 2006 10 9115·
 2006 09 9514·
 2006 08 232·
 2006 07 4725.
 2006 06 6831.
 2006 05 3220·
 2006 04 8617.
 2006 03 3614.
 2006 02 4625·
 2006 01 6726.
 2005 12  8623.
 2005 11  418.
 2005 10  382.
 2005 09  4512·
 2005 08  7912.
 2005 07  6022.
 2005 06  8125·
 2005 05  3616.
 2005 04  6419.
 2005 03  3332.
 2005 02  3925·
 2005 01  3229.
 2004 12 6716.
 2004 11 8220·
 2004 10 015·
 2004 09 548·
 2004 08 3810.
 2004 07 8828.
 2004 06 7627·
 2004 05 4522·
 2004 04 5334.
 2004 03 5622.
 2004 02 524.
 2004 01 7431·
 2003 12  1232·
 2003 11  2034·
 2003 10  5031·
 2003 09  3625·
 2003 08  4120·
 2003 07  3543.
 2003 06  036·
 2003 05  5040.
 2003 04  8941.
 2003 03  8446.
 2003 02  6641·
 2003 01  6054.
 2002 12 3345.
 2002 11 7232.
 2002 10 8736·
 2002 09 3542.
 2002 08 7232·
 2002 07 3219.
 2002 06 2635.
 2002 05 6925·
 2002 04 3233.
 2002 03 2028·
 2002 02 7035·
 2002 01 8133.
 2001 12  6427·
 2001 11  1820.
 2001 10  3332·
 2001 09  1623.
 2001 08  4318·
 2001 07  3217·
 2001 06  5226.
 2001 05  4334.
 2001 04  6824.
 2001 03  9514·
 2001 02  9127·
 2001 01  5511·
 2000 12 6720.
 2000 11 6211·
 2000 10 3739·
 2000 09 7225.
 2000 08 8823.
 2000 07 1516·
 2000 06 213.
 2000 05 3927.
 2000 04 720·
 2000 03 6217·
 2000 02 2625.
 2000 01 2319.
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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, Nonagricultural Private Wage and Salary Workers: 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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