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 Series Title: Employment Level: Transportation and Material Moving Occupations, White: NSA
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 2000 01 406862.
 2000 02 586774.
 2000 03 566757.
 2000 04 756800.
 2000 05 796694·
 2000 06 336919·
 2000 07 76847.
 2000 08 06872.
 2000 09 896865.
 2000 10 136963·
 2000 11 667088.
 2000 12 307052·
 2001 01  236856·
 2001 02  796612.
 2001 03  446617.
 2001 04  86801.
 2001 05  556907·
 2001 06  386838.
 2001 07  806920·
 2001 08  56845.
 2001 09  866875.
 2001 10  216924·
 2001 11  376745·
 2001 12  156662·
 2002 01 416433·
 2002 02 866801·
 2002 03 36654·
 2002 04 566742·
 2002 05 716831.
 2002 06 146936·
 2002 07 906890·
 2002 08 726826·
 2002 09 506925·
 2002 10 116837.
 2002 11 376941·
 2002 12 336746·
 2003 01  806479.
 2003 02  106604·
 2003 03  66543·
 2003 04  336577.
 2003 05  866561.
 2003 06  666521.
 2003 07  866547.
 2003 08  916504·
 2003 09  176715·
 2003 10  626737.
 2003 11  886734·
 2003 12  526982.
 2004 01 516837·
 2004 02 46592·
 2004 03 526735.
 2004 04 836811.
 2004 05 866834.
 2004 06 246800·
 2004 07 406771.
 2004 08 806720·
 2004 09 486698·
 2004 10 786625·
 2004 11 396742.
 2004 12 626787.
 2005 01  886812·
 2005 02  486961.
 2005 03  646838·
 2005 04  726861·
 2005 05  816746.
 2005 06  416892·
 2005 07  517050.
 2005 08  816985·
 2005 09  286996·
 2005 10  886892.
 2005 11  636887.
 2005 12  816784·
 2006 01 536680·
 2006 02 476739·
 2006 03 896825.
 2006 04 936877.
 2006 05 86952.
 2006 06 977094·
 2006 07 417010.
 2006 08 597173·
 2006 09 677147·
 2006 10 477066.
 2006 11 577077.
 2006 12 517052.
 2007 01  316693·
 2007 02  286580·
 2007 03  16537.
 2007 04  606470.
 2007 05  266792·
 2007 06  976990.
 2007 07  597118·
 2007 08  87082.
 2007 09  16966.
 2007 10  356935·
 2007 11  457140.
 2007 12  377051.
 2008 01 336739.
 2008 02 486804.
 2008 03 976986·
 2008 04 187034.
 2008 05 217186·
 2008 06 697111.
 2008 07 787086·
 2008 08 436933·
 2008 09 916815·
 2008 10 546642.
 2008 11 756630·
 2008 12 336941.
 2009 01  936682·
 2009 02  856687·
 2009 03  26672·
 2009 04  326571.
 2009 05  46653·
 2009 06  686630·
 2009 07  966477.
 2009 08  76285.
 2009 09  226534.
 2009 10  356601.
 2009 11  206703.
 2009 12  556549·
 2010 01 746222.
 2010 02 436047.
 2010 03 626069·
 2010 04 936304·
 2010 05 106313·
 2010 06 736341·
 2010 07 356363·
 2010 08 676578.
 2010 09 56697.
 2010 10 326834.
 2010 11 786681·
 2010 12 446409.
 2011 01  596271.
 2011 02  516173·
 2011 03  516242.
 2011 04  206506·
 2011 05  996654·
 2011 06  886752.
 2011 07  456680·
 2011 08  136555·
 2011 09  756528.
 2011 10  246597.
 2011 11  716615.
 2011 12  686549.
 2012 01 616480·


 2012 02 656413.
 2012 03 686586.
 2012 04 546765.
 2012 05 596749.
 2012 06 436837·
 2012 07 976888.
 2012 08 646540·
 2012 09 936673.
 2012 10 156683·
 2012 11 486811·
 2012 12 186810.
 2013 01  146557.
 2013 02  636451·
 2013 03  346526·
 2013 04  616644.
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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, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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