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 Series Title: Employment Level: Private Wage and Salary Workers in Transportation and Utilities Industry: NSA
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 2012 04 285493.
 2012 03 485359.
 2012 02 105333.
 2012 01 235323·
 2011 12  225343·
 2011 11  395456·
 2011 10  145443.
 2011 09  125432.
 2011 08  825620.
 2011 07  295733.
 2011 06  185675.
 2011 05  995550.
 2011 04  595414.
 2011 03  995299.
 2011 02  365026.
 2011 01  295167.
 2010 12 285338.
 2010 11 565281·
 2010 10 75417.
 2010 09 715501.
 2010 08 905568·
 2010 07 325295·
 2010 06 915555·
 2010 05 195416·
 2010 04 695274·
 2010 03 825287·
 2010 02 785062·
 2010 01 925133.
 2009 12  175425·
 2009 11  895291.
 2009 10  815116.
 2009 09  345112.
 2009 08  95040·
 2009 07  595265·
 2009 06  365417.
 2009 05  155480·
 2009 04  445466.
 2009 03  245663·
 2009 02  85610.
 2009 01  295700·
 2008 12 495862.
 2008 11 415371.
 2008 10 845260·
 2008 09 945467·
 2008 08 745649·
 2008 07 915984.
 2008 06 776085·
 2008 05 566000.
 2008 04 955892.
 2008 03 815954·
 2008 02 255926.
 2008 01 825890·
 2007 12  105975·
 2007 11  435930·
 2007 10  905847·
 2007 09  685865.
 2007 08  475826.
 2007 07  325694.
 2007 06  615596.
 2007 05  325443.
 2007 04  565456·
 2007 03  325567.
 2007 02  505665·
 2007 01  185614.
 2006 12 115745·
 2006 11 485673.
 2006 10 965554.
 2006 09 965669.
 2006 08 135670·
 2006 07 125469.
 2006 06 615480·
 2006 05 605402.
 2006 04 885409·
 2006 03 805363·
 2006 02 345430·
 2006 01 295433.
 2005 12  865422·
 2005 11  355517.
 2005 10  265460·
 2005 09  475531·
 2005 08  825525.
 2005 07  835472·
 2005 06  765273.
 2005 05  835197.
 2005 04  775206·
 2005 03  565272·
 2005 02  475382.
 2005 01  315263·
 2004 12 965131·
 2004 11 105180·
 2004 10 275199.
 2004 09 115141.
 2004 08 905112·
 2004 07 275199.
 2004 06 284996.
 2004 05 674946.
 2004 04 335032·
 2004 03 134965·
 2004 02 895041·
 2004 01 675030.
 2003 12  275061·
 2003 11  15126·
 2003 10  725157·
 2003 09  65159.
 2003 08  975092.
 2003 07  465100·
 2003 06  665125.
 2003 05  35042·
 2003 04  925174.
 2003 03  315046·
 2003 02  835116·
 2003 01  34930.
 2002 12 905098·
 2002 11 625300.
 2002 10 615357.
 2002 09 735374·
 2002 08 895446·
 2002 07 715264·
 2002 06 625320.
 2002 05 105424.
 2002 04 155337·
 2002 03 145261.
 2002 02 765463.
 2002 01 305178.
 2001 12  195236·
 2001 11  745315.
 2001 10  145222.
 2001 09  805253·
 2001 08  765513·
 2001 07  565354·
 2001 06  155398·
 2001 05  275574·
 2001 04  875244·
 2001 03  925268·
 2001 02  425324.
 2001 01  675179.
 2000 12 765211·
 2000 11 395373.
 2000 10 825335·
 2000 09 175562·
 2000 08 955682·
 2000 07 795580.
 2000 06 485522.
 2000 05 235427·
 2000 04 185403.
 2000 03 185347.
 2000 02 785364·
 2000 01 535215.
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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: Private Wage and Salary Workers in Transportation and Utilities Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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