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 Series Title: Men, employed government wage and salary workers in Transportation and warehousing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 53625.
 2012 03 12646·
 2012 02 48684·
 2012 01 52713·
 2011 12  37689·
 2011 11  20689·
 2011 10  20711.
 2011 09  85730.
 2011 08  44746·
 2011 07  84750.
 2011 06  50653·
 2011 05  73698·
 2011 04  24687·
 2011 03  83637·
 2011 02  49700·
 2011 01  61681.
 2010 12 52609.
 2010 11 26661·
 2010 10 56682·
 2010 09 16706·
 2010 08 29718·
 2010 07 43731·
 2010 06 34714·
 2010 05 34705·
 2010 04 80743·
 2010 03 91707·
 2010 02 71708·
 2010 01 34688·
 2009 12  56621·
 2009 11  53639.
 2009 10  79681·
 2009 09  59736.
 2009 08  32779·
 2009 07  34792·
 2009 06  97770.
 2009 05  79739.
 2009 04  7727·
 2009 03  66721·
 2009 02  88686.
 2009 01  87706·
 2008 12 9773.
 2008 11 6766.
 2008 10 38722.
 2008 09 4767.
 2008 08 87779·
 2008 07 35867·
 2008 06 62823·
 2008 05 73751·
 2008 04 16702·
 2008 03 61709·
 2008 02 97747·
 2008 01 63811·
 2007 12  97818.
 2007 11  14811.
 2007 10  6778·
 2007 09  69780·
 2007 08  56790.
 2007 07  52778.
 2007 06  76784.
 2007 05  9755·
 2007 04  42700·
 2007 03  56671.
 2007 02  22645.
 2007 01  28676·
 2006 12 31668·
 2006 11 32697·
 2006 10 80755.
 2006 09 95765.
 2006 08 24767·
 2006 07 13760·
 2006 06 13784.
 2006 05 4732·
 2006 04 45725.
 2006 03 55690.
 2006 02 10688·
 2006 01 74699·
 2005 12  46726.
 2005 11  39711.
 2005 10  84745·
 2005 09  49801·
 2005 08  1812·
 2005 07  73817·
 2005 06  71800·
 2005 05  99810.
 2005 04  11744.
 2005 03  87777·
 2005 02  35755·
 2005 01  18706.
 2004 12 2737.
 2004 11 40689.
 2004 10 65702·
 2004 09 24728.
 2004 08 24802·
 2004 07 11798.
 2004 06 72820.
 2004 05 62813·
 2004 04 51752.
 2004 03 8765·
 2004 02 95770.
 2004 01 1822.
 2003 12  85810.
 2003 11  62717.
 2003 10  97737.
 2003 09  35704.
 2003 08  52726·
 2003 07  31693.
 2003 06  65690.
 2003 05  83739.
 2003 04  0805·
 2003 03  95782·
 2003 02  13793·
 2003 01  90802·
 2002 12 7734·
 2002 11 62776·
 2002 10 78774.
 2002 09 25771·
 2002 08 71758.
 2002 07 63798·
 2002 06 23761.
 2002 05 81791·
 2002 04 19842·
 2002 03 54800.
 2002 02 37786·
 2002 01 78752.
 2001 12  1764.
 2001 11  18784·
 2001 10  31744.
 2001 09  60770·
 2001 08  92728·
 2001 07  60807·
 2001 06  44807·
 2001 05  96864·
 2001 04  93823·
 2001 03  14817.
 2001 02  39777.
 2001 01  80697·
 2000 12 29786.
 2000 11 34731.
 2000 10 4752.
 2000 09 32754·
 2000 08 50825·
 2000 07 3832.
 2000 06 51849.
 2000 05 96858.
 2000 04 33820·
 2000 03 28805.
 2000 02 19804.
 2000 01 40769.
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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: Men, employed government wage and salary workers in Transportation and warehousing: 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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