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 Series Title: Employed: Wage and salary workers, Mining, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 60873·
 2012 03 21825·
 2012 02 93740.
 2012 01 49671.
 2011 12  85695·
 2011 11  96752.
 2011 10  84730·
 2011 09  78741·
 2011 08  88754.
 2011 07  82707·
 2011 06  88738·
 2011 05  17693·
 2011 04  21699.
 2011 03  61644·
 2011 02  18623·
 2011 01  12627.
 2010 12 58610·
 2010 11 39612.
 2010 10 13654·
 2010 09 32631·
 2010 08 0676.
 2010 07 49625.
 2010 06 34636.
 2010 05 70605·
 2010 04 73575·
 2010 03 45552.
 2010 02 71559.
 2010 01 45602·
 2009 12  27585·
 2009 11  11619.
 2009 10  35602.
 2009 09  3540·
 2009 08  36607.
 2009 07  53578·
 2009 06  65557.
 2009 05  11554.
 2009 04  3539.
 2009 03  2626.
 2009 02  24669.
 2009 01  65693·
 2008 12 51749.
 2008 11 15738.
 2008 10 99762·
 2008 09 83749.
 2008 08 31733·
 2008 07 74736.
 2008 06 4723.
 2008 05 10691.
 2008 04 20663.
 2008 03 85663.
 2008 02 76612.
 2008 01 14593.
 2007 12  16607.
 2007 11  80587.
 2007 10  78616·
 2007 09  89635·
 2007 08  46577.
 2007 07  16643·
 2007 06  99636·
 2007 05  56628·
 2007 04  60657.
 2007 03  74642.
 2007 02  50601.
 2007 01  57605·
 2006 12 33608.
 2006 11 61641.
 2006 10 70592.
 2006 09 63574.
 2006 08 66615·
 2006 07 9583.
 2006 06 22597.
 2006 05 67601.
 2006 04 84577·
 2006 03 74588·
 2006 02 94552.
 2006 01 88560.
 2005 12  38567·
 2005 11  38535.
 2005 10  98533·
 2005 09  71528·
 2005 08  2528.
 2005 07  7494.
 2005 06  73523·
 2005 05  85575.
 2005 04  78583.
 2005 03  14506·
 2005 02  81535·
 2005 01  23512·
 2004 12 90570·
 2004 11 14526·
 2004 10 10497·
 2004 09 6481·
 2004 08 90478.
 2004 07 89455·
 2004 06 73464.
 2004 05 76443.
 2004 04 51454·
 2004 03 47438.
 2004 02 9410·
 2004 01 4457·
 2003 12  76455·
 2003 11  19458·
 2003 10  79460·
 2003 09  83463·
 2003 08  89438.
 2003 07  60417.
 2003 06  72415·
 2003 05  33411.
 2003 04  40420·
 2003 03  54457.
 2003 02  0465·
 2003 01  97482·
 2002 12 5478.
 2002 11 6479.
 2002 10 3475.
 2002 09 45431·
 2002 08 85428.
 2002 07 49404·
 2002 06 41391.
 2002 05 72417.
 2002 04 5432·
 2002 03 39432.
 2002 02 4393·
 2002 01 95410·
 2001 12  15440.
 2001 11  57473.
 2001 10  5471·
 2001 09  59432·
 2001 08  90443.
 2001 07  10454.
 2001 06  80453.
 2001 05  34474·
 2001 04  31434·
 2001 03  30415.
 2001 02  94430·
 2001 01  14441·
 2000 12 64434·
 2000 11 73457·
 2000 10 33405.
 2000 09 17357.
 2000 08 38369·
 2000 07 22408·
 2000 06 11428.
 2000 05 88438·
 2000 04 29436.
 2000 03 83393.
 2000 02 66382.
 2000 01 96410.
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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, Men: 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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