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 Series Title: Employment Level: Transportation and Material Moving Occupations in Mining, quarrying, and oil and gas extraction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 49130·
 2012 03 80114·
 2012 02 30102.
 2012 01 6594·
 2011 12  7379.
 2011 11  4781.
 2011 10  8088.
 2011 09  9575.
 2011 08  9678.
 2011 07  4492·
 2011 06  62104.
 2011 05  5597.
 2011 04  6699·
 2011 03  5377·
 2011 02  8994·
 2011 01  88107·
 2010 12 59115·
 2010 11 80103·
 2010 10 99128.
 2010 09 65120.
 2010 08 76115·
 2010 07 5689·
 2010 06 5589.
 2010 05 8080.
 2010 04 4367·
 2010 03 3864.
 2010 02 4468.
 2010 01 5177.
 2009 12  979.
 2009 11  8117.
 2009 10  8198·
 2009 09  2283·
 2009 08  5077·
 2009 07  7381.
 2009 06  1100·
 2009 05  64114.
 2009 04  6688·
 2009 03  65102.
 2009 02  6996.
 2009 01  6984.
 2008 12 83116.
 2008 11 39106·
 2008 10 73103.
 2008 09 5787·
 2008 08 5194·
 2008 07 77103·
 2008 06 24138.
 2008 05 72153.
 2008 04 45146.
 2008 03 87152.
 2008 02 62130·
 2008 01 84106.
 2007 12  67136·
 2007 11  99122·
 2007 10  48112·
 2007 09  86101.
 2007 08  4092·
 2007 07  71108.
 2007 06  72107.
 2007 05  98119.
 2007 04  17121·
 2007 03  83127.
 2007 02  45121·
 2007 01  63117.
 2006 12 71105.
 2006 11 4499·
 2006 10 587.
 2006 09 5260.
 2006 08 485.
 2006 07 8498.
 2006 06 1793.
 2006 05 57112.
 2006 04 40117.
 2006 03 60112·
 2006 02 66111.
 2006 01 99107·
 2005 12  31114·
 2005 11  53118.
 2005 10  67102.
 2005 09  2189.
 2005 08  5278·
 2005 07  7183·
 2005 06  5899·
 2005 05  92105.
 2005 04  2121.
 2005 03  4491.
 2005 02  0113·
 2005 01  7126.
 2004 12 8131.
 2004 11 30119·
 2004 10 8287·
 2004 09 8487·
 2004 08 2097.
 2004 07 1091.
 2004 06 17111·
 2004 05 6998·
 2004 04 1371·
 2004 03 9185.
 2004 02 4387·
 2004 01 2991·
 2003 12  8889·
 2003 11  591·
 2003 10  2287·
 2003 09  6077.
 2003 08  6979.
 2003 07  888·
 2003 06  4374·
 2003 05  8077.
 2003 04  891·
 2003 03  81101·
 2003 02  1991.
 2003 01  3383.
 2002 12 7987.
 2002 11 3282.
 2002 10 8788·
 2002 09 8984·
 2002 08 8491.
 2002 07 9188.
 2002 06 1082·
 2002 05 4284.
 2002 04 4782.
 2002 03 1770·
 2002 02 7670·
 2002 01 1177·
 2001 12  1984·
 2001 11  8994·
 2001 10  98103.
 2001 09  39105·
 2001 08  7690.
 2001 07  1692·
 2001 06  1481·
 2001 05  9769·
 2001 04  1776·
 2001 03  2862·
 2001 02  8688.
 2001 01  7886.
 2000 12 68100.
 2000 11 8291·
 2000 10 477.
 2000 09 161·
 2000 08 8055.
 2000 07 6187.
 2000 06 7999·
 2000 05 1198.
 2000 04 27110·
 2000 03 6982·
 2000 02 4972·
 2000 01 7662.
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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: Employment Level: Transportation and Material Moving Occupations in Mining, quarrying, and oil and gas extraction: 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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