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 Series Title: Employed: Wage and salary workers, Mining: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 96983·
 2012 03 0924·
 2012 02 5846·
 2012 01 44752·
 2011 12  75797.
 2011 11  58846.
 2011 10  56827.
 2011 09  60832·
 2011 08  45869.
 2011 07  39824.
 2011 06  33844·
 2011 05  1806.
 2011 04  57780·
 2011 03  25737·
 2011 02  48695.
 2011 01  9705·
 2010 12 85687·
 2010 11 23731.
 2010 10 41776.
 2010 09 55744·
 2010 08 32772·
 2010 07 64708·
 2010 06 73724·
 2010 05 31705·
 2010 04 21671.
 2010 03 6652·
 2010 02 32664.
 2010 01 58683·
 2009 12  4667·
 2009 11  29705.
 2009 10  32693.
 2009 09  79639.
 2009 08  55699·
 2009 07  40660.
 2009 06  10633·
 2009 05  63644.
 2009 04  76652.
 2009 03  71730.
 2009 02  29765·
 2009 01  6784.
 2008 12 90843·
 2008 11 79839.
 2008 10 77894.
 2008 09 25883·
 2008 08 50876·
 2008 07 45853·
 2008 06 67819.
 2008 05 64774·
 2008 04 30739·
 2008 03 76737·
 2008 02 37708·
 2008 01 94680.
 2007 12  31695·
 2007 11  4691.
 2007 10  50704.
 2007 09  9741.
 2007 08  77688.
 2007 07  84749.
 2007 06  93731.
 2007 05  26708·
 2007 04  20756.
 2007 03  0729·
 2007 02  79697.
 2007 01  91710.
 2006 12 35708.
 2006 11 57741.
 2006 10 47676·
 2006 09 73648.
 2006 08 22703.
 2006 07 87683·
 2006 06 60696·
 2006 05 65676·
 2006 04 7657.
 2006 03 46656·
 2006 02 4630·
 2006 01 88639·
 2005 12  39650·
 2005 11  17618·
 2005 10  94604·
 2005 09  84604.
 2005 08  95613.
 2005 07  6575·
 2005 06  66616·
 2005 05  23656·
 2005 04  75662·
 2005 03  45596.
 2005 02  85607.
 2005 01  0566.
 2004 12 4648.
 2004 11 90588·
 2004 10 37566.
 2004 09 34550.
 2004 08 32530·
 2004 07 23494·
 2004 06 35508.
 2004 05 68482.
 2004 04 36492.
 2004 03 50480·
 2004 02 19460·
 2004 01 72504.
 2003 12  14533·
 2003 11  4544.
 2003 10  49518·
 2003 09  39525.
 2003 08  94499.
 2003 07  40500·
 2003 06  15493·
 2003 05  90491.
 2003 04  24495·
 2003 03  41518·
 2003 02  29535.
 2003 01  68548·
 2002 12 81538.
 2002 11 13551.
 2002 10 29529·
 2002 09 42485.
 2002 08 65478.
 2002 07 88459.
 2002 06 78459·
 2002 05 7491.
 2002 04 1505.
 2002 03 22499·
 2002 02 64440.
 2002 01 81444.
 2001 12  40482.
 2001 11  98551·
 2001 10  0567·
 2001 09  9525·
 2001 08  57534.
 2001 07  21546·
 2001 06  23525.
 2001 05  60541·
 2001 04  52494.
 2001 03  23470.
 2001 02  97488·
 2001 01  28493·
 2000 12 52500.
 2000 11 61533·
 2000 10 9461·
 2000 09 32403.
 2000 08 5425·
 2000 07 17450.
 2000 06 72486·
 2000 05 16480·
 2000 04 88470·
 2000 03 97446.
 2000 02 25435.
 2000 01 50468·
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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: Employed: Wage and salary workers, Mining: 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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