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 Series Title: Employment Level: Transportation and Material Moving Occupations, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 979.
 2012 03 4381.
 2012 02 336·
 2012 01 1737.
 2011 12  3750·
 2011 11  1670·
 2011 10  1174·
 2011 09  868·
 2011 08  7445·
 2011 07  3145.
 2011 06  6574.
 2011 05  4387.
 2011 04  7168.
 2011 03  7155·
 2011 02  7658·
 2011 01  6380.
 2010 12 561·
 2010 11 4078.
 2010 10 8276.
 2010 09 4061.
 2010 08 7557·
 2010 07 7242.
 2010 06 4654.
 2010 05 6665·
 2010 04 683·
 2010 03 2388·
 2010 02 5783·
 2010 01 6284·
 2009 12  5070.
 2009 11  7475·
 2009 10  2786·
 2009 09  7068.
 2009 08  80109.
 2009 07  3265·
 2009 06  9462.
 2009 05  6164·
 2009 04  9964·
 2009 03  2943.
 2009 02  2170·
 2009 01  2883·
 2008 12 3166·
 2008 11 2176.
 2008 10 9674·
 2008 09 9053.
 2008 08 2760·
 2008 07 9076.
 2008 06 3179.
 2008 05 9383.
 2008 04 61100·
 2008 03 4387·
 2008 02 6574·
 2008 01 492.
 2007 12  3598·
 2007 11  1188·
 2007 10  6070·
 2007 09  1869·
 2007 08  7460·
 2007 07  5170.
 2007 06  573·
 2007 05  5485.
 2007 04  2881·
 2007 03  4478·
 2007 02  1264·
 2007 01  5669.
 2006 12 7274·
 2006 11 9869·
 2006 10 1973·
 2006 09 9460·
 2006 08 774.
 2006 07 4385.
 2006 06 8972·
 2006 05 6279.
 2006 04 5962.
 2006 03 3772·
 2006 02 1079·
 2006 01 7886.
 2005 12  7873·
 2005 11  6179.
 2005 10  9571.
 2005 09  8677·
 2005 08  3899.
 2005 07  2283.
 2005 06  8184.
 2005 05  5765·
 2005 04  4154·
 2005 03  5163.
 2005 02  3274·
 2005 01  8462.
 2004 12 1271·
 2004 11 574·
 2004 10 3673·
 2004 09 8668.
 2004 08 253.
 2004 07 6648.
 2004 06 442·
 2004 05 734.
 2004 04 8442·
 2004 03 4048·
 2004 02 7748·
 2004 01 1746.
 2003 12  6149.
 2003 11  6045·
 2003 10  1544.
 2003 09  1044.
 2003 08  5831·
 2003 07  8032·
 2003 06  740·
 2003 05  436.
 2003 04  2447·
 2003 03  8439.
 2003 02  6640·
 2003 01  4439.
 2002 12 3646.
 2002 11 7840·
 2002 10 3047.
 2002 09 040·
 2002 08 9337·
 2002 07 9447·
 2002 06 6244·
 2002 05 6432.
 2002 04 2125·
 2002 03 8734·
 2002 02 5022·
 2002 01 5737·
 2001 12  7149.
 2001 11  4053.
 2001 10  557·
 2001 09  2336·
 2001 08  1861.
 2001 07  6065·
 2001 06  6872.
 2001 05  3069.
 2001 04  6156.
 2001 03  7863·
 2001 02  9951.
 2001 01  7363·
 2000 12 2757·
 2000 11 5166.
 2000 10 8866.
 2000 09 7038·
 2000 08 6763.
 2000 07 6053·
 2000 06 4664·
 2000 05 6761·
 2000 04 5458.
 2000 03 1157.
 2000 02 1335·
 2000 01 3235·
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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, Cuban: 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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