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 Series Title: Employment Level: Transportation and Material Moving Occupations in Nondurable Goods Manufacturing Industry: NSA
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 2012 04 78566.
 2012 03 73591.
 2012 02 51580·
 2012 01 34597·
 2011 12  68504·
 2011 11  0540.
 2011 10  81578.
 2011 09  90559.
 2011 08  86621·
 2011 07  89607·
 2011 06  75586·
 2011 05  7496.
 2011 04  84507·
 2011 03  20489.
 2011 02  45495.
 2011 01  29493·
 2010 12 36541·
 2010 11 1634·
 2010 10 29641·
 2010 09 25647.
 2010 08 43599.
 2010 07 62609·
 2010 06 91531.
 2010 05 91496.
 2010 04 31545·
 2010 03 61540.
 2010 02 17548·
 2010 01 44573·
 2009 12  49536·
 2009 11  79585·
 2009 10  21583.
 2009 09  29638.
 2009 08  74538·
 2009 07  23531.
 2009 06  41498·
 2009 05  15483·
 2009 04  5524.
 2009 03  25562.
 2009 02  40607·
 2009 01  96537.
 2008 12 68536·
 2008 11 40515.
 2008 10 5524·
 2008 09 91509.
 2008 08 13589.
 2008 07 51565·
 2008 06 50520·
 2008 05 45539.
 2008 04 16556.
 2008 03 65586·
 2008 02 12613.
 2008 01 26558.
 2007 12  78621·
 2007 11  12610.
 2007 10  54585·
 2007 09  29646·
 2007 08  23605.
 2007 07  51606·
 2007 06  64527·
 2007 05  73506·
 2007 04  1508.
 2007 03  61565·
 2007 02  55590.
 2007 01  2610·
 2006 12 89580·
 2006 11 51534·
 2006 10 65583·
 2006 09 85637·
 2006 08 87581.
 2006 07 51558.
 2006 06 57571·
 2006 05 16585.
 2006 04 20550.
 2006 03 18576·
 2006 02 18586·
 2006 01 15613.
 2005 12  38592.
 2005 11  34539·
 2005 10  62562·
 2005 09  25576·
 2005 08  18616·
 2005 07  6696·
 2005 06  27639·
 2005 05  16584·
 2005 04  58599·
 2005 03  65625·
 2005 02  75653.
 2005 01  82591.
 2004 12 85628·
 2004 11 67646·
 2004 10 94632·
 2004 09 42657·
 2004 08 49638.
 2004 07 95578.
 2004 06 97643.
 2004 05 39704.
 2004 04 26653·
 2004 03 55654.
 2004 02 22673·
 2004 01 45640·
 2003 12  16722.
 2003 11  79741·
 2003 10  32706.
 2003 09  51715.
 2003 08  43646.
 2003 07  23584.
 2003 06  15595.
 2003 05  78703.
 2003 04  59684.
 2003 03  69724.
 2003 02  83733.
 2003 01  70666.
 2002 12 40676.
 2002 11 24694·
 2002 10 76614.
 2002 09 95594·
 2002 08 84591.
 2002 07 19582·
 2002 06 54561·
 2002 05 49592·
 2002 04 19591.
 2002 03 11585.
 2002 02 7660·
 2002 01 50616·
 2001 12  93632.
 2001 11  81640.
 2001 10  47602·
 2001 09  41652·
 2001 08  83639·
 2001 07  37628·
 2001 06  12600.
 2001 05  94648·
 2001 04  89664.
 2001 03  9642.
 2001 02  66728·
 2001 01  1732·
 2000 12 37676·
 2000 11 55701·
 2000 10 95662.
 2000 09 81683.
 2000 08 76722·
 2000 07 56724.
 2000 06 13714·
 2000 05 79654.
 2000 04 82661.
 2000 03 19778·
 2000 02 57813.
 2000 01 64850.
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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 Nondurable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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