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 Series Title: Persons At Work in Mining, quarrying, and oil and gas extraction, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9747·
 2012 03 8673·
 2012 02 8593.
 2012 01 467·
 2011 12  7756.
 2011 11  3881.
 2011 10  2573·
 2011 09  449·
 2011 08  2373·
 2011 07  8977.
 2011 06  6546·
 2011 05  258·
 2011 04  8651·
 2011 03  2050·
 2011 02  1967.
 2011 01  4386·
 2010 12 4146.
 2010 11 3868.
 2010 10 2582·
 2010 09 9545.
 2010 08 8972.
 2010 07 7446.
 2010 06 4651·
 2010 05 5436.
 2010 04 5531.
 2010 03 8544·
 2010 02 6946·
 2010 01 3827.
 2009 12  8855.
 2009 11  5374·
 2009 10  751.
 2009 09  92123.
 2009 08  6667·
 2009 07  8586·
 2009 06  9955·
 2009 05  8433.
 2009 04  8772.
 2009 03  1183.
 2009 02  769.
 2009 01  862.
 2008 12 7840.
 2008 11 8958·
 2008 10 1979.
 2008 09 85111·
 2008 08 8963·
 2008 07 039.
 2008 06 4767·
 2008 05 5735.
 2008 04 9552·
 2008 03 5044·
 2008 02 3147·
 2008 01 9449.
 2007 12  9748·
 2007 11  7341.
 2007 10  3245·
 2007 09  9158·
 2007 08  2057.
 2007 07  2351·
 2007 06  3952.
 2007 05  6645·
 2007 04  1458.
 2007 03  8440·
 2007 02  6574·
 2007 01  6354·
 2006 12 5561.
 2006 11 6147.
 2006 10 4650·
 2006 09 5248·
 2006 08 4368·
 2006 07 8555.
 2006 06 4744.
 2006 05 2734.
 2006 04 472·
 2006 03 1569·
 2006 02 5646·
 2006 01 749.
 2005 12  8870.
 2005 11  3141·
 2005 10  8420.
 2005 09  3630.
 2005 08  7052.
 2005 07  4036.
 2005 06  7053.
 2005 05  8338.
 2005 04  5136.
 2005 03  7440·
 2005 02  7742·
 2005 01  4247·
 2004 12 5678.
 2004 11 8847·
 2004 10 9344.
 2004 09 3355·
 2004 08 3635.
 2004 07 6648.
 2004 06 3043·
 2004 05 9925·
 2004 04 6539.
 2004 03 1426.
 2004 02 2722.
 2004 01 1136·
 2003 12  4531.
 2003 11  6229.
 2003 10  4647.
 2003 09  6132·
 2003 08  140·
 2003 07  6952.
 2003 06  7640·
 2003 05  6934.
 2003 04  8252·
 2003 03  1451·
 2003 02  2842·
 2003 01  7947.
 2002 12 6640·
 2002 11 639·
 2002 10 4244·
 2002 09 6151.
 2002 08 5147·
 2002 07 7637.
 2002 06 8027.
 2002 05 857·
 2002 04 6336.
 2002 03 8030·
 2002 02 2928·
 2002 01 3935.
 2001 12  5350·
 2001 11  175·
 2001 10  468.
 2001 09  045·
 2001 08  9634·
 2001 07  4353·
 2001 06  4023.
 2001 05  5849.
 2001 04  9263·
 2001 03  4145·
 2001 02  329.
 2001 01  836.
 2000 12 6849·
 2000 11 4951·
 2000 10 7939·
 2000 09 7031·
 2000 08 7229·
 2000 07 5032.
 2000 06 8153.
 2000 05 8732·
 2000 04 8225.
 2000 03 5029.
 2000 02 4720·
 2000 01 2834.
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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: Persons At Work in Mining, quarrying, and oil and gas extraction, Wage and Salary Workers, Worked 1-34 Hours: 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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