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 Series Title: Employment Level: Private Wage and Salary Workers in 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 80980.
 2012 03 89921·
 2012 02 97846.
 2012 01 13751·
 2011 12  69796.
 2011 11  1839·
 2011 10  46817.
 2011 09  72829.
 2011 08  25863·
 2011 07  12823.
 2011 06  96844·
 2011 05  29806.
 2011 04  97780.
 2011 03  2737·
 2011 02  60695.
 2011 01  29702·
 2010 12 62687.
 2010 11 79730·
 2010 10 75770·
 2010 09 41741.
 2010 08 19766.
 2010 07 75702·
 2010 06 5721·
 2010 05 60704·
 2010 04 94668.
 2010 03 46652·
 2010 02 38664.
 2010 01 3683.
 2009 12  37667.
 2009 11  73701·
 2009 10  85693.
 2009 09  16636·
 2009 08  24696·
 2009 07  63657·
 2009 06  87633.
 2009 05  67640.
 2009 04  55652.
 2009 03  49730·
 2009 02  4765.
 2009 01  51783·
 2008 12 55837.
 2008 11 86835·
 2008 10 25890.
 2008 09 87879·
 2008 08 75876·
 2008 07 57853·
 2008 06 63819·
 2008 05 19774·
 2008 04 91739·
 2008 03 67737.
 2008 02 56705·
 2008 01 15675.
 2007 12  2687·
 2007 11  49687·
 2007 10  67700.
 2007 09  71733.
 2007 08  34685.
 2007 07  59745·
 2007 06  83726.
 2007 05  6703.
 2007 04  38748·
 2007 03  78718·
 2007 02  18689·
 2007 01  62700·
 2006 12 88693·
 2006 11 14733·
 2006 10 9670·
 2006 09 11646·
 2006 08 86700·
 2006 07 99683·
 2006 06 19696.
 2006 05 45676.
 2006 04 56657·
 2006 03 88656.
 2006 02 37630.
 2006 01 84637·
 2005 12  49641·
 2005 11  63613·
 2005 10  74597.
 2005 09  72597.
 2005 08  40610.
 2005 07  31574·
 2005 06  70613·
 2005 05  79653·
 2005 04  31652·
 2005 03  24596·
 2005 02  86604·
 2005 01  98563·
 2004 12 45645·
 2004 11 99586.
 2004 10 11566·
 2004 09 48548·
 2004 08 34525·
 2004 07 36494·
 2004 06 58508.
 2004 05 73482·
 2004 04 73492·
 2004 03 42477·
 2004 02 64460·
 2004 01 44504·
 2003 12  62533·
 2003 11  50543.
 2003 10  93517.
 2003 09  54524.
 2003 08  27499.
 2003 07  16500.
 2003 06  32493.
 2003 05  21491·
 2003 04  18495.
 2003 03  21518.
 2003 02  94535.
 2003 01  91548.
 2002 12 11538·
 2002 11 73550.
 2002 10 17529.
 2002 09 32485.
 2002 08 5478·
 2002 07 2459.
 2002 06 64459·
 2002 05 38483·
 2002 04 27504·
 2002 03 65497·
 2002 02 23435.
 2002 01 29441.
 2001 12  26479·
 2001 11  45551.
 2001 10  7565·
 2001 09  49523·
 2001 08  79532·
 2001 07  47544·
 2001 06  53525·
 2001 05  67541.
 2001 04  85489.
 2001 03  4468.
 2001 02  25486·
 2001 01  76492·
 2000 12 69500·
 2000 11 72533·
 2000 10 10461·
 2000 09 97399·
 2000 08 83422·
 2000 07 32447·
 2000 06 21481·
 2000 05 73479.
 2000 04 2469.
 2000 03 91445.
 2000 02 97433·
 2000 01 74468.
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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: Employment Level: Private Wage and Salary Workers in 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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