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 Series Title: Average Hours, At Work in Mining Industries, Wage and Salary Workers, Persons Who Usually Work Full Time: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3951.5
 2012 03 4450·3
 2012 02 6450·7
 2012 01 8450·0
 2011 12  1250.7
 2011 11  5850.6
 2011 10  3552·3
 2011 09  8353·0
 2011 08  2751·4
 2011 07  4649·6
 2011 06  8151·2
 2011 05  5650.0
 2011 04  3351·0
 2011 03  9051·1
 2011 02  1651·0
 2011 01  4649.9
 2010 12 750·5
 2010 11 9450.2
 2010 10 7850·2
 2010 09 2451·9
 2010 08 4851.0
 2010 07 9350.6
 2010 06 2947.5
 2010 05 8249.8
 2010 04 8250·2
 2010 03 4148.8
 2010 02 5847.9
 2010 01 4149·8
 2009 12  5949.6
 2009 11  2149.5
 2009 10  7746.8
 2009 09  4445·4
 2009 08  5546.8
 2009 07  4045.8
 2009 06  2546·1
 2009 05  6047·8
 2009 04  6947.0
 2009 03  2848·2
 2009 02  6448.9
 2009 01  8450·2
 2008 12 2949.7
 2008 11 4349·1
 2008 10 8150.3
 2008 09 3548·8
 2008 08 8351·0
 2008 07 6650·7
 2008 06 9151.1
 2008 05 5750.7
 2008 04 850.9
 2008 03 450·8
 2008 02 3050·3
 2008 01 1950.6
 2007 12  349·1
 2007 11  8849.1
 2007 10  6350.8
 2007 09  1648.5
 2007 08  9450.8
 2007 07  7649·0
 2007 06  7549.7
 2007 05  6551.1
 2007 04  3149·3
 2007 03  4950·6
 2007 02  8249.7
 2007 01  1248·1
 2006 12 9149.3
 2006 11 1250.7
 2006 10 1952.2
 2006 09 2650·6
 2006 08 7250·9
 2006 07 9950.2
 2006 06 5149·8
 2006 05 052·2
 2006 04 150·9
 2006 03 6649·0
 2006 02 6549.8
 2006 01 5548.9
 2005 12  2950·2
 2005 11  9450.1
 2005 10  7451·8
 2005 09  3350·4
 2005 08  2949·0
 2005 07  9050·4
 2005 06  1649.9
 2005 05  550.6
 2005 04  350·1
 2005 03  8649.9
 2005 02  5450.8
 2005 01  6448·8
 2004 12 7750.1
 2004 11 3850·0
 2004 10 7650.0
 2004 09 2950·5
 2004 08 050·4
 2004 07 2850.4
 2004 06 9451·8
 2004 05 4551.6
 2004 04 4850.9
 2004 03 6249·4
 2004 02 4648.6
 2004 01 8149·1
 2003 12  2149·8
 2003 11  7349.6
 2003 10  9748.0
 2003 09  3150·5
 2003 08  4550.5
 2003 07  1648·9
 2003 06  3248.8
 2003 05  1347·0
 2003 04  7046.5
 2003 03  7448.7
 2003 02  6548.9
 2003 01  7348·3
 2002 12 7148·9
 2002 11 5447·8
 2002 10 3548·5
 2002 09 7948·4
 2002 08 5047.6
 2002 07 8550.2
 2002 06 447.9
 2002 05 2646.4
 2002 04 3048·9
 2002 03 2747.9
 2002 02 5950·5
 2002 01 3250·1
 2001 12  6448.9
 2001 11  5948.2
 2001 10  1449.0
 2001 09  4248·7
 2001 08  2549·9
 2001 07  8948.9
 2001 06  750·5
 2001 05  2549·6
 2001 04  1548.4
 2001 03  4847·9
 2001 02  049·9
 2001 01  7549.6
 2000 12 5950.0
 2000 11 9451·7
 2000 10 8251·0
 2000 09 1152·7
 2000 08 749·8
 2000 07 750·6
 2000 06 6549.2
 2000 05 7849·1
 2000 04 3449.8
 2000 03 9448·4
 2000 02 8748.7
 2000 01 4448·4
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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: Average Hours, At Work in Mining Industries, Wage and Salary Workers, Persons Who Usually Work Full Time: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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