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 Series Title: Employed: Mining, White: NSA
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 2012 04 99919.
 2012 03 32838.
 2012 02 42768·
 2012 01 51692.
 2011 12  6751.
 2011 11  52789.
 2011 10  40783·
 2011 09  49783·
 2011 08  41809·
 2011 07  33784.
 2011 06  1787.
 2011 05  9755.
 2011 04  56737·
 2011 03  56674.
 2011 02  38617·
 2011 01  73621·
 2010 12 25593.
 2010 11 29657·
 2010 10 90716·
 2010 09 12707.
 2010 08 50749.
 2010 07 82684.
 2010 06 18698·
 2010 05 19669·
 2010 04 54616.
 2010 03 73620.
 2010 02 12625·
 2010 01 15633·
 2009 12  90623.
 2009 11  84658.
 2009 10  83650.
 2009 09  42612·
 2009 08  32668·
 2009 07  20631·
 2009 06  70599·
 2009 05  70598·
 2009 04  80620.
 2009 03  13696.
 2009 02  36737.
 2009 01  93742.
 2008 12 60780·
 2008 11 21779·
 2008 10 68829·
 2008 09 31830.
 2008 08 23810·
 2008 07 25777.
 2008 06 80725.
 2008 05 27704.
 2008 04 43684·
 2008 03 30685·
 2008 02 9686·
 2008 01 50650.
 2007 12  22657.
 2007 11  70655·
 2007 10  19654.
 2007 09  95676·
 2007 08  84655·
 2007 07  1678·
 2007 06  96680·
 2007 05  81679.
 2007 04  80696.
 2007 03  3718·
 2007 02  54682.
 2007 01  52678.
 2006 12 85667·
 2006 11 85702.
 2006 10 32626·
 2006 09 78618·
 2006 08 0654·
 2006 07 77629.
 2006 06 91625·
 2006 05 51607·
 2006 04 50601·
 2006 03 37604.
 2006 02 19601.
 2006 01 92609.
 2005 12  86595·
 2005 11  45564.
 2005 10  31555·
 2005 09  44555·
 2005 08  82554·
 2005 07  9533·
 2005 06  62573·
 2005 05  78600.
 2005 04  40611.
 2005 03  60559.
 2005 02  77576.
 2005 01  85536·
 2004 12 84606.
 2004 11 55554.
 2004 10 63507·
 2004 09 87507.
 2004 08 65501·
 2004 07 75480.
 2004 06 34502·
 2004 05 27470·
 2004 04 59467·
 2004 03 27473·
 2004 02 26445·
 2004 01 75464·
 2003 12  66490·
 2003 11  43488·
 2003 10  3479.
 2003 09  24489.
 2003 08  11465.
 2003 07  79485.
 2003 06  53474.
 2003 05  93469.
 2003 04  44481·
 2003 03  17502·
 2003 02  89517.
 2003 01  27520·
 2002 12 41506.
 2002 11 64518.
 2002 10 48490·
 2002 09 94457.
 2002 08 3458·
 2002 07 51439.
 2002 06 94439.
 2002 05 90456.
 2002 04 55486·
 2002 03 36476·
 2002 02 14429.
 2002 01 33453.
 2001 12  47466·
 2001 11  98519.
 2001 10  21552·
 2001 09  67495.
 2001 08  54506.
 2001 07  46534·
 2001 06  54497.
 2001 05  61507·
 2001 04  77482.
 2001 03  11475·
 2001 02  74491·
 2001 01  10490·
 2000 12 42477.
 2000 11 49480·
 2000 10 71400.
 2000 09 33364.
 2000 08 98376.
 2000 07 42415.
 2000 06 56439·
 2000 05 73438·
 2000 04 22444.
 2000 03 97439.
 2000 02 68436.
 2000 01 1469·
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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: Mining, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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