IEEE Big Data Knowledge Base – Semantic...

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Section URL Topic Specific URL URL 1. Story Story Narrativ 2. Slides http://se Slides Graphic http://semanticomm 2.1. Slide 1 Data Science for Tackli http://se Slides Graphic http://se http://ww 2.2. Slide 2 Overview http://se Slides Graphic http://semanticomm 2.3. Slide 3 MITProfessionalX 6.BDx http://se Slides Graphic https://m http://se 2.4. Slide 4 MITProfessionalX 6.BDx http://se Slides Graphic https://m http://se 2.5. Slide 5 MITProfessionalX 6.BDx http://se Slides Graphic https://m http://se 2.6. Slide 6 MITProfessionalX 6.BDx http://se Slides Graphic https://m http://se 2.7. Slide 7 Courseware: Big Data St http://se Slides Graphic http://se http://se 2.8. Slide 8 Selected Slides: Profes http://se Slides Graphic http://se http://se 2.9. Slide 9 Selected Slides: Profes http://se Slides Graphic http://se http://se 2.10. Slide 10 Selected Slides: Prof http://se Slides Graphic http://se http://se 2.11. Slide 11 Google Search: Singap http://se Slides Graphic http://semanticomm 2.12. Slide 12 Think Business: Why c http://se Slides Graphic http://th http://se 2.13. Slide 13 Labor Supply Decision http://se Slides Graphic http://ww http://se 2.14. Slide 14 MIT Big Data Knowledg http://se Slides Graphic http://se http://se 2.15. Slide 15 Singapore Land Transp http://se Slides Graphic http://ww http://se 2.16. Slide 16 Singapore Land Transp http://se Slides Graphic http://ww http://se 2.17. Slide 17 Singapore Land Transp http://se Slides Graphic http://se http://se 2.18. Slide 18 MIT Big Data Knowledg http://se Slides Graphic http://se http://se 2.19. Slide 19 MIT Big Data: Knowled http://se Slides Graphic http://se http://se 2.20. Slide 20 MIT Big Data: Course http://se Slides Graphic http://se http://se 2.21. Slide 21 MIT Big Data: Spotfir http://se Slides Graphic https://s http://se 2.22. Slide 22 MIT Big Data: Student http://se Slides Graphic https://s http://se 2.23. Slide 23 MIT Big Data: Singapo http://se Slides Graphic https://s http://se 2.24. Slide 24 New York City Open Da http://se Slides Graphic https://n http://se 2.25. Slide 25 New York City Open Da http://se Slides Graphic https://n http://se 2.26. Slide 26 New York City Open Da http://se Slides Graphic https://d http://se 2.27. Slide 27 Visualizing NYC’s Ope http://se Slides Graphic https://n http://se 2.28. Slide 28 MIT Big Data Assessme http://se Slides Graphic http://semanticomm 3. Spotfire Dashboard Dashboar Interact 4. Why can’t I find a taxi when I re Story Narrativ 5. Labor Supply Decisions of Singapo Paper PDF 5.1. Abstract Paper PDF 5.2. 1. Introduction Paper PDF 5.3. 2. Cab Drivers and Operators in Paper PDF 5.4. 3. Data Description Paper PDF 5.4.1. a. Real time trip data from g Paper PDF 5.4.1.1. Table 1: Comparison of the Paper PDF 5.4.2. b. Summary Statistics Paper PDF 5.4.2.1. Table 2: Summary Statistics Paper PDF 5.4.2.2. Inter-day/Intra-day variati Paper PDF 5.4.2.3. Figure 1: Distributions of Paper PDF 5.4.3. c. Inter-day Demand and Suppl Paper PDF http://se http://se http://se http://se https://spotfire.c http://se http://th http://ww http://se http://pa http://se http://se http://se http://semanticomm http://se http://semanticomm http://se http://semanticomm http://se http://se http://se http://se http://semanticomm http://se http://semanticomm http://se http://semanticomm http://se http://se http://semanticomm http://se

Transcript of IEEE Big Data Knowledge Base – Semantic...

Page 1: IEEE Big Data Knowledge Base – Semantic Communitysemanticommunity.info/@api/deki/files/31458/MITBigData.… · XLS file · Web view89. 1. 33. 93. 108. 614. 28. 22. 1. 40. 3. 765.

Section URL Topic Specific URL URL URL1. Story Story Narrative2. Slides http://sem Slides Graphic http://semanticommunity.info/@api/deki/files/31463/BrandNiemann11142014.pptx2.1. Slide 1 Data Science for Tackling the Challen http://sem Slides Graphic http://semahttp://wwwhttp://sem2.2. Slide 2 Overview http://sem Slides Graphic http://semanticommunity.info/@api/deki/files/31466/BrandNiemann11142014Slide2.PNG2.3. Slide 3 MITProfessionalX 6.BDx Tackling the http://sem Slides Graphic https://mi http://semanticommunity.info/@api/deki/files/31467/BrandNiemann11142014Slide3.PNG2.4. Slide 4 MITProfessionalX 6.BDx Tackling the http://sem Slides Graphic https://mi http://semanticommunity.info/@api/deki/files/31468/BrandNiemann11142014Slide4.PNG2.5. Slide 5 MITProfessionalX 6.BDx Tackling the http://sem Slides Graphic https://mi http://semanticommunity.info/@api/deki/files/31469/BrandNiemann11142014Slide5.PNG2.6. Slide 6 MITProfessionalX 6.BDx Tackling the http://sem Slides Graphic https://mi http://semanticommunity.info/@api/deki/files/31470/BrandNiemann11142014Slide6.PNG2.7. Slide 7 Courseware: Big Data Storage http://sem Slides Graphic http://sem http://sem http://semanticommunity.info/@api/deki/files/31471/BrandNiemann11142014Slide7.PNG2.8. Slide 8 Selected Slides: Professor Sam Madd http://sem Slides Graphic http://sem http://sem http://semanticommunity.info/@api/deki/files/31472/BrandNiemann11142014Slide8.PNG2.9. Slide 9 Selected Slides: Professor David Karg http://sem Slides Graphic http://sem http://sem http://semanticommunity.info/@api/deki/files/31473/BrandNiemann11142014Slide9.PNG2.10. Slide 10 Selected Slides: Professor Daniela http://sem Slides Graphic http://sem http://sem http://semanticommunity.info/@api/deki/files/31475/BrandNiemann11142014Slide10.PNG2.11. Slide 11 Google Search: Singapore Taxi Dat http://sem Slides Graphic http://semanticommunity.info/@api/deki/files/31474/BrandNiemann11142014Slide11.PNG2.12. Slide 12 Think Business: Why can’t I find a http://sem Slides Graphic http://thi http://semanticommunity.info/@api/deki/files/31476/BrandNiemann11142014Slide12.PNG2.13. Slide 13 Labor Supply Decisions of Singaporhttp://sem Slides Graphic http://www http://semanticommunity.info/@api/deki/files/31479/BrandNiemann11142014Slide13.PNG2.14. Slide 14 MIT Big Data Knowledge Base: Tabhttp://sem Slides Graphic http://semahttp://semanticommunity.info/@api/deki/files/31477/BrandNiemann11142014Slide14.PNG2.15. Slide 15 Singapore Land Transport Authority:http://sem Slides Graphic http://www.http://semanticommunity.info/@api/deki/files/31478/BrandNiemann11142014Slide15.PNG2.16. Slide 16 Singapore Land Transport Authorithttp://sem Slides Graphic http://www http://semanticommunity.info/@api/deki/files/31480/BrandNiemann11142014Slide16.PNG2.17. Slide 17 Singapore Land Transport Authorithttp://sem Slides Graphic http://semahttp://semanticommunity.info/@api/deki/files/31481/BrandNiemann11142014Slide17.PNG2.18. Slide 18 MIT Big Data Knowledge Base: Mi http://sem Slides Graphic http://sem http://semanticommunity.info/@api/deki/files/31483/BrandNiemann11142014Slide18.PNG2.19. Slide 19 MIT Big Data: Knowledge Base Spr http://sem Slides Graphic http://semahttp://semanticommunity.info/@api/deki/files/31487/BrandNiemann11142014Slide19.PNG2.20. Slide 20 MIT Big Data: Course Participant http://sem Slides Graphic http://semahttp://semanticommunity.info/@api/deki/files/31482/BrandNiemann11142014Slide20.PNG2.21. Slide 21 MIT Big Data: Spotfire Cover Page http://sem Slides Graphic https://sp http://semanticommunity.info/@api/deki/files/31484/BrandNiemann11142014Slide21.PNG2.22. Slide 22 MIT Big Data: Student Enrollment http://sem Slides Graphic https://sp http://semanticommunity.info/@api/deki/files/31485/BrandNiemann11142014Slide22.PNG2.23. Slide 23 MIT Big Data: Singaporean Cab Dri http://sem Slides Graphic https://sp http://semanticommunity.info/@api/deki/files/31486/BrandNiemann11142014Slide23.PNG2.24. Slide 24 New York City Open Data: Socrata http://sem Slides Graphic https://ny http://semanticommunity.info/@api/deki/files/31491/BrandNiemann11142014Slide24.PNG2.25. Slide 25 New York City Open Data: Search Rhttp://sem Slides Graphic https://n http://semanticommunity.info/@api/deki/files/31489/BrandNiemann11142014Slide25.PNG2.26. Slide 26 New York City Open Data: Data Tabhttp://sem Slides Graphic https://dat http://semahttp://semanticommunity.info/@api/deki/files/31490/BrandNiemann11142014Slide26.PNG2.27. Slide 27 Visualizing NYC’s Open Data: Socrahttp://sem Slides Graphic https://nyc http://semanticommunity.info/@api/deki/files/31492/BrandNiemann11142014Slide27.PNG2.28. Slide 28 MIT Big Data Assessment: Questio http://sem Slides Graphic http://semanticommunity.info/@api/deki/files/31488/BrandNiemann11142014Slide28.PNG3. Spotfire Dashboard DashboardInteractive4. Why can’t I find a taxi when I really need one? Story Narrative5. Labor Supply Decisions of Singaporean Cab Dri Paper PDF5.1. Abstract Paper PDF5.2. 1. Introduction Paper PDF5.3. 2. Cab Drivers and Operators in Singapore Paper PDF5.4. 3. Data Description Paper PDF5.4.1. a. Real time trip data from global positio Paper PDF5.4.1.1. Table 1: Comparison of the Cabdriver Da Paper PDF5.4.2. b. Summary Statistics Paper PDF5.4.2.1. Table 2: Summary Statistics Paper PDF5.4.2.2. Inter-day/Intra-day variations in activitie Paper PDF5.4.2.3. Figure 1: Distributions of Cabs per minu Paper PDF5.4.3. c. Inter-day Demand and Supply Elasticity Paper PDF

http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Storyhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Coursewarehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Slideshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Course_Updates_.26_News

http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Spotfire_Dashboardhttps://spotfire.cloud.tibco.com/public/ViewAnalysis.aspx?file=/users/bniemann/Public/MITBigData-Spotfire&waid=f741d730b9c8d5391e43d-121830a3b1f74bhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Why_can.E2.80.99t_I_find_a_taxi_when_I_really_need_one.3Fhttp://thinkbusiness.nus.edu/smart-finance/item/131-why-can%E2%80%99t-i-find-a-taxi-when-i-really-need-onehttp://www.ushakrisna.com/http://www.ushakrisna.com/Cabdrivers.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Labor_Supply_Decisions_of_Singaporean_Cab_Drivershttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=2338476http://semanticommunity.info/@api/deki/files/31437/[email protected]://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Abstracthttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1._Introductionhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2._Cab_Drivers_and_Operators_in_Singaporehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#3._Data_Descriptionhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#3http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#a._Real_time_trip_data_from_global_positioning_system_(GPS)_enabled_cabs_in_Singaporehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#4http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#5http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_1:_Comparison_of_the_Cabdriver_Data_Used_in_Related_Studieshttp://semanticommunity.info/@api/deki/files/31449/Table_1_Comparison_of_the_Cabdriver_Data_Used_in_Related_Studies.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#b._Summary_Statisticshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#6http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_2:_Summary_Statisticshttp://semanticommunity.info/@api/deki/files/31450/Table_2_Summary_Statistics.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Inter-day.2FIntra-day_variations_in_activitieshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_1:_Distributions_of_Cabs_per_minutes_by_Status_for_the_week_of_August_15-21.2C_2010http://semanticommunity.info/@api/deki/files/31440/Figure_1_Distributions_of_Cabs_per_minutes_by_Status_for_the_week_of_August_15-21%2C_2010.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#c._Inter-day_Demand_and_Supply_Elasticity_for_Cab

Page 2: IEEE Big Data Knowledge Base – Semantic Communitysemanticommunity.info/@api/deki/files/31458/MITBigData.… · XLS file · Web view89. 1. 33. 93. 108. 614. 28. 22. 1. 40. 3. 765.

5.4.3.1. Figure 2: Distributions of Day-by-Day S Paper PDF5.4.4. d. Shift-level Work hours and Wage Measu Paper PDF5.4.4.1. Figure 3: Distributions of Cabdrivers’ activ Paper PDF5.5. 4. Empirical Tests of Cabdriver Labor Supply E Paper PDF5.5.1. Figure 4: Distribution of Shift Length for Paper PDF5.5.2. Figure 5: Distribution of Wage Rate of Cab Paper PDF5.5.3. a. Pairwise Relationships between shift le Paper PDF5.5.3.1. Figure 6: Scatter Plot and Local Polynomi Paper PDF5.5.3.2. Figure 7: Differences between Single-Shi Paper PDF5.5.3.3. Reduced form models of cabdriver labor Paper PDF5.5.3.4. Table 3: OLS Models of Worked Hours on Paper PDF5.5.3.5. Table 4: Labor Supply Models with Cabdri Paper PDF5.5.3.6. Figure 8: Relationship between Shift Le Paper PDF5.5.4. b. Supply shocks and the labor supply elast Paper PDF5.5.4.1. Table 5: Shocks to Taxi Driver Labor Supp Paper PDF5.5.5. c. Heterogeneity in Cabdrivers’ Labor Supply Paper PDF5.5.5.1. Table 6: Heterogeneity of Cabdrivers Paper PDF5.5.6. d. Reference-Dependence Preferences in L Paper PDF5.5.6.1. Table 7: Reference Dependence Hypothes Paper PDF5.5.6.2. Table 8: Reference Dependence Hypothe Paper PDF5.5.7. e. Constancy in Labor Supply of Cabdrivers Paper PDF5.5.7.1. Table 9: Income Targets of Cabdrivers Paper PDF5.5.8. f. Testing the Importance of Daily Targets Paper PDF5.5.8.1. Figure 9: Distribution of Income Ratio of Paper PDF5.5.9. g. Effects of Different Reference Points on Paper PDF5.5.9.1. Table 10: Reference Dependence and Labo Paper PDF5.6. 5. Conclusion Paper PDF5.7. Footnotes Paper PDF5.7.1. 1 Paper PDF5.7.2. 2 Paper PDF5.7.3. 3 Paper PDF5.7.4. 4 Paper PDF5.7.5. 5 Paper PDF5.7.6. 6 Paper PDF5.7.7. 7 Paper PDF5.7.8. 8 Paper PDF5.8. References Paper PDF5.9. Appendix: Fares and Rates of one of the lar Paper PDF6. Course Emails Course Email6.1. December 16, 2014 Course Email6.2. December 15, 2014 http://sem Course Email6.3. December 9, 2014 http://sem Course Email6.4. December 2, 2014 http://sem Course Email6.5. November 25, 2014 http://sem Course Email6.6. November 24, 2014 http://sem Course Email

http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_2:_Distributions_of_Day-by-Day_Supply_and_Demand_of_Cab_Services_and_Utilization_Rate_for_the_Week_of_August_15-21.2C_2010http://semanticommunity.info/@api/deki/files/31443/Figure_2_Distributions_of_Day-by-Day_Supply_and_Demand_of_Cab_Services_and_Utilization_Rate_for_the_Week_of_August_15-21%2C_2010.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#d._Shift-level_Work_hours_and_Wage_Measureshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_3:_Distributions_of_Cabdrivers.E2.80.99_activities_by_shifthttp://semanticommunity.info/@api/deki/files/31442/Figure_3_Distributions_of_Cabdrivers%E2%80%99_activities_by_shift.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#4._Empirical_Tests_of_Cabdriver_Labor_Supply_Elasticityhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#7http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_4:_Distribution_of_Shift_Length_for_the_Month_of_August_2010http://semanticommunity.info/@api/deki/files/31441/Figure_4_Distribution_of_Shift_Length_for_the_Month_of_August_2010.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_5:_Distribution_of_Wage_Rate_of_Cabdrivershttp://semanticommunity.info/@api/deki/files/31445/Figure_5_Distribution_of_Wage_Rate_of_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#a._Pairwise_Relationships_between_shift_length_and_wage_ratehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_6:_Scatter_Plot_and_Local_Polynomial_Regression_Fitting_of_the_Relationship_between_Shift_Length_and_Wage_Rate_for_all_Shiftshttp://semanticommunity.info/@api/deki/files/31444/Figure_6_Scatter_Plot_and_Local_Polynomial_Regression_Fitting_of_the_Relationship_between_Shift_Length_and_Wage_Rate_for_all_Shifts.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_7:_Differences_between_Single-Shift_and_Two-Shift_Cabdrivershttp://semanticommunity.info/@api/deki/files/31446/Figure_7_Differences_between_Single-Shift_and_Two-Shift_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Reduced_form_models_of_cabdriver_labor_supplyhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_3:_OLS_Models_of_Worked_Hours_on_Wage_Rate_for_Cabdrivershttp://semanticommunity.info/@api/deki/files/31451/Table_3_OLS_Models_of_Worked_Hours_on_Wage_Rate_for_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_4:_Labor_Supply_Models_with_Cabdriver_Fixed_Effectshttp://semanticommunity.info/@api/deki/files/31452/Table_4_Labor_Supply_Models_with_Cabdriver_Fixed_Effects.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_8:_Relationship_between_Shift_Length_and_Wage_Rate_based_on_a_Calibrated_Polynomial_Functionhttp://semanticommunity.info/@api/deki/files/31447/Figure_8_Relationship_between_Shift_Length_and_Wage_Rate_based_on_a_Calibrated_Polynomial_Function.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#b._Supply_shocks_and_the_labor_supply_elasticity_of_cabdrivershttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_5:_Shocks_to_Taxi_Driver_Labor_Supplyhttp://semanticommunity.info/@api/deki/files/31453/Table_5_Shocks_to_Taxi_Driver_Labor_Supply.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#c._Heterogeneity_in_Cabdrivers.E2.80.99_Labor_Supply_Elasticitieshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_6:_Heterogeneity_of_Cabdrivershttp://semanticommunity.info/@api/deki/files/31454/Table_6_Heterogeneity_of_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#d._Reference-Dependence_Preferences_in_Labor_Supplyhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_7:_Reference_Dependence_Hypothesis_with_Driver_Average_Targetshttp://semanticommunity.info/@api/deki/files/31455/Table_7_Reference_Dependence_Hypothesis_with_Driver_Average_Targets.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_8:_Reference_Dependence_Hypothesis_with_Driver.2FDay-of-the-Week_Average_Targetshttp://semanticommunity.info/@api/deki/files/31457/Table_8_Reference_Dependence_Hypothesis_with_Driver_Day-of-the-Week_Average_Targets.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#e._Constancy_in_Labor_Supply_of_Cabdrivershttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#8http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_9:_Income_Targets_of_Cabdrivershttp://semanticommunity.info/@api/deki/files/31456/Table_9_Income_Targets_of_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#f._Testing_the_Importance_of_Daily_Targets_using_Cabdrivers.E2.80.99_Response_Earnings_Shocks_in_the_Previous_Dayhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Figure_9:_Distribution_of_Income_Ratio_of_Cabdrivershttp://semanticommunity.info/@api/deki/files/31448/Figure_9_Distribution_of_Income_Ratio_of_Cabdrivers.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#g._Effects_of_Different_Reference_Points_on_Labor_Supplyhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Table_10:_Reference_Dependence_and_Labor_Supply_Elasticityhttp://semanticommunity.info/@api/deki/files/31438/Table_10_Reference_Dependence_and_Labor_Supply_Elasticity.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#5._Conclusionhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Footnoteshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#3http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#4http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#5http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#6http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#7http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#8http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Referenceshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Appendix:_Fares_and_Rates_of_one_of_the_largest_Cab_Operators_in_Singaporehttp://www.cdgtaxi.com.sg/commuters_services_rates.mvn?cid=2214322http://semanticommunity.info/@api/deki/files/31439/Appendix_Fares_and_Rates_of_one_of_the_largest_Cab_Operators_in_Singapore.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Course_Emailshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#December_16.2C_2014

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6.7. November 18, 2014 http://sem Course Email6.8. November 11, 2014 Course Email6.9. November 4, 2014 Course Email6.10. October 29, 2014 Course Email6.11. October 28, 2014 Course Email http://r2 http://r2 http://r26.12. October 3, 2014 Course Email7. The CancerMath.net Web Calculators Paper PDF7.1. Research Summary Paper PDF7.2. Databases http://sem Paper PDF7.3. Medical Usage and Cost Paper PDF7.4. A Mathematical Approach To Cancer Lethalithttp://sem Paper PDF7.5. CancerMath.net Calculators http://sem Paper PDF7.6. Notes Paper PDF7.7. References Paper PDF7.8. Laboratory of Quantitative Medicine Technic Paper PDF8. Courseware CoursewarWiki8.1. Course Survey http://sem CoursewarWiki8.2. Welcome to the Course CoursewarWiki8.2.1. How To Participate in the Course CoursewarWiki8.2.1.1. How to Use the Discussion Forum CoursewarWiki8.2.1.1.1. Meet Your Course TAs! CoursewarWiki8.2.1.1.2. Brian Bell CoursewarWiki8.2.1.1.3. Manasi Vartak CoursewarWiki8.2.1.2. Discussion and Community Guidelines CoursewarWiki8.2.1.3. Certificates and CEUs CoursewarWiki8.2.2. Technical Assistance and Contacts CoursewarWiki8.2.3. Introduction: Big Data Challenges CoursewarWiki8.2.4. Assessment 1 CoursewarWiki8.3. Introduction and Use Cases CoursewarWiki8.3.1. 1.0 Introduction: Uses Cases CoursewarWiki8.3.1.1. 1.1 Case Study: Transportation CoursewarWiki8.3.1.2. 1.2 Case Study: Visualizing Twiitter CoursewarWiki8.3.1.3. Assessment 2 CoursewarWiki8.3.1.4. Discussion 1 CoursewarWiki8.4. Big Data Collection CoursewarWiki8.4.1. 2.0 Introduction: Big Data Collection CoursewarWiki8.4.1.1. Overview CoursewarWiki8.4.1.2. Goals CoursewarWiki8.4.1.3. Objectives: Students should be able to... CoursewarWiki8.4.2. 2.1 Data Cleaning and Integration CoursewarWiki8.4.3. 2.2 Hosted Data Platforms and the Cloud CoursewarWiki8.4.4. Assessment 3 CoursewarWiki8.4.5. Discussion 2 CoursewarWiki8.5. Big Data Storage CoursewarWiki8.5.1. 3.0 Introduction to Big Data Storage CoursewarWiki

http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#November_11.2C_2014http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#November_4.2C_2014https://mitprofessionalx.edx.org/https://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/infohttps://studio.edx.org/c4x/MITProfessionalX/6.BDX/asset/Rus.jpghttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#October_29.2C_2014http://www.worldtimeserver.com/current_time_in_UTC.aspxhttps://mitprofessionalx.edx.org/https://www.edx.org/course/edx/edx-demox-1-demox-4116#.VFFLz_nF_6qhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#October_28.2C_2014http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#October_3.2C_2014http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#The_CancerMath.net_Web_Calculatorshttp://semanticommunity.info/@api/deki/files/31421/MICHAELSON_CancerMath%26CancerDatabases__Feb_2013.pdfhttp://www.lifemath.net/quantmed/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Research_Summary

http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Medical_Usage_and_Cost

http://www.lifemath.net/cancer/sarcoma/outcome/index.phphttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Noteshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Referenceshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Laboratory_of_Quantitative_Medicine_Technical_Reportshttp://www.lifemath.net/cancer/about/techreports/index.phphttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Courseware

https://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/surveyhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Welcome_to_the_Coursehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#How_To_Participate_in_the_Coursehttps://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/discussion/forumhttps://mitprofessionalx.edx.org/c4x/MITProfessionalX/6.BDX/asset/How_to_use_the_discussion_forum.pdfhttps://mitprofessionalx.edx.org/c4x/MITProfessionalX/6.BDX/asset/Discussion_and_Community_Guidelines_10.10.14.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#How_to_Use_the_Discussion_Forumhttps://mitprofessionalx.edx.org/c4x/MITProfessionalX/6.BDX/asset/How_to_use_the_discussion_forum.pdfhttp://semanticommunity.info/@api/deki/files/31433/How_to_use_the_discussion_forum.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Meet_Your_Course_TAs!http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Brian_Bellhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Manasi_Vartakhttp://www.mit.edu/~mvartak/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Discussion_and_Community_Guidelineshttps://mitprofessionalx.edx.org/c4x/MITProfessionalX/6.BDX/asset/Discussion_and_Community_Guidelines_10.10.14.pdfhttp://semanticommunity.info/@api/deki/files/31432/Discussion_and_Community_Guidelines_10.10.14.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Certificates_and_CEUshttps://mitprofessionalx.edx.org/c4x/MITProfessionalX/6.BDX/asset/Certificate_CEUs_handout.pdfhttp://semanticommunity.info/@api/deki/files/31435/Certificate_CEUs_handout.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#[email protected]://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Introduction:_Big_Data_Challengeshttps://www.edx.org/course/edx/edx-demox-1-demox-4116#.VE5oT_nF_6qhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Assessment_1http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Introduction_and_Use_Caseshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1.0_Introduction:_Uses_Caseshttps://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/discussion/forumhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1.1_Case_Study:_Transportationhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#1.2_Case_Study:_Visualizing_Twiitterhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Assessment_2http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Discussion_1https://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/discussion/forum/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Big_Data_Collectionhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2.0_Introduction:_Big_Data_Collectionhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Overviewhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Goalshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Objectives:_Students_should_be_able_to…http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2.1_Data_Cleaning_and_Integrationhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#2.2_Hosted_Data_Platforms_and_the_Cloudhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Assessment_3http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Discussion_2https://mitprofessionalx.edx.org/courses/MITProfessionalX/6.BDX/2T2014/discussion/forum/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Big_Data_Storagehttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#3.0_Introduction_to_Big_Data_Storage

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8.5.1.1. Overview CoursewarWiki8.5.1.2. Goals CoursewarWiki8.5.1.3. Objectives: Students should be able to... CoursewarWiki8.5.2. 3.1 Modern Databases CoursewarWiki8.5.3. 3.2 Distributed Computing Platforms CoursewarWiki8.5.4. 3.3 NoSQL NewSQL CoursewarWiki8.5.5. Assessment 4 CoursewarWiki8.5.6. Discussion 3 CoursewarWiki8.6. Big Data Systems CoursewarWiki8.6.1. 4.0 Introduction: Big Data Systems CoursewarWiki8.6.1.1. Overview CoursewarWiki8.6.1.2. Goals (4.1 Security) CoursewarWiki8.6.1.3. Objectives: Students should be able to... CoursewarWiki8.6.1.4. Goals (4.2 Multicore Scalability) CoursewarWiki8.6.1.5. Objectives: Students should be able to... CoursewarWiki8.6.1.6. Goals (4.3 Interfaces and Visualization) CoursewarWiki8.6.1.7. Objectives: Students should be able to... CoursewarWiki8.6.2. 4.1 Security CoursewarWiki8.6.3. 4.2 Multicore Scalability CoursewarWiki8.6.4. 4.3 Visualization and User Interfaces CoursewarWiki8.6.5. Assessment 5 CoursewarWiki8.6.6. Discussion 4 CoursewarWiki8.7. Big Data Analytics CoursewarWiki8.7.1. 5.0 Introduction: Big Data Analytics CoursewarWiki8.7.1.1. Overview CoursewarWiki8.7.1.2. Goals CoursewarWiki8.7.1.3. Objectives: Students should be able to... CoursewarWiki8.7.2. 5.1 Fast Algorithms I CoursewarWiki8.7.3. 5.2 Fast Algorithms II CoursewarWiki8.7.4. 5.3 Data Compression CoursewarWiki8.7.5. 5.4 Machine Learning Tools CoursewarWiki8.7.6. 5.5 Case Study: Information Summarizatio CoursewarWiki8.7.7. 5.6 Applications: Medicine CoursewarWiki8.7.8. 5.7 Applications: Finance CoursewarWiki8.7.9. Assessment 6 CoursewarWiki8.7.10. Discussion 5 CoursewarWiki9. Slides Slides Graphic9.1. 1.0_introduction-to-bigdata Slides Graphic9.1.1. What Is This Course Going to Cover? Slides Graphic9.2. 1.1_transportation Slides Graphic9.2.1. Case Study: Transportation in Singapore Slides Graphic9.3. 1.2_visualizing-twitter Slides Graphic9.3.1. Spatial Correlations Slides Graphic9.3.2. Other Techniques We'll Cover Slides Graphic9.4. 2.1_data-cleaning-integration Slides Graphic

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9.4.1. Data Curation Slides Graphic9.4.2. Startups in This Space Slides Graphic9.4.3. Data Tamer Future Slides Graphic9.4.4. The Way Forward 1 Slides Graphic9.4.5. The Way Forward 2 Slides Graphic9.5. 2.2_hosted-data-platforms Slides Graphic9.5.1. Examples Slides Graphic9.5.2. Summary Slides Graphic9.5.3. Examples Slides Graphic9.5.4. Conclusions Slides Graphic9.6. 3.1_modern-databases Slides Graphic9.6.1. History Lesson Slides Graphic9.6.2. My Thesis Slides Graphic9.6.3. Rest of This Module Slides Graphic9.6.4. Data Warehouse Marketplace Slides Graphic9.6.5. The Participants Slides Graphic9.6.6. Roughly Speaking Slides Graphic9.6.7. OLTP Data Bases -- 3 Big Decisions Slides Graphic9.6.8. Summary Slides Graphic9.6.9. Everything Else Slides Graphic9.6.10. Array DBMSs--e.g. SciDB Slides Graphic9.6.11. Array DBMSs--Summary Slides Graphic9.6.12. Graph DBMSs Slides Graphic9.6.13. What Is Hadoop? Slides Graphic9.6.14. What Is Happening Now? Slides Graphic9.6.15. Most Likely Future Slides Graphic9.6.16. Thoughts While Shaving 1 Slides Graphic9.6.17. Thoughts While Shaving 2 Slides Graphic9.6.18. Thoughts While Shaving 3 Slides Graphic9.6.19. The Curse--May You Live in Interesting Ti Slides Graphic9.6.20. The Curse--May You Live in Interesting Ti Slides Graphic9.7. 3.2_distributed-computing-platforms Slides Graphic9.7.1. Motivation Slides Graphic9.7.2. Software in This Space Slides Graphic9.7.3. Applications Slides Graphic9.7.4. This Lecture Slides Graphic9.8. 3.3_NoSQL-NewSQL Slides Graphic9.8.1. What Does a Traditional Database Provide Slides Graphic9.8.2. A Thousand Flowers Bloom Slides Graphic9.8.3. Rest of the Module Slides Graphic9.9. 4.1_security Slides Graphic9.9.1. Security is a Negative Goal Slides Graphic9.9.2. Multiple Encryption Schemes Slides Graphic9.9.3. Conclusion Slides Graphic9.10. 4.2_multicore-scalability Slides Graphic

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9.10.1. Goal: Scalability Slides Graphic9.10.2. Outline Slides Graphic9.10.3. Conclusion: Multicore Scalability Slides Graphic9.11. 4.3_visualization-user-interfaces Slides Graphic9.11.1. My Research Group Slides Graphic9.11.2. Why User Interfaces? 1 Slides Graphic9.11.3. Why User Interfaces? 2 Slides Graphic9.11.4. The Value of Interfaces Slides Graphic9.11.5. User Interfaces for Data Slides Graphic9.11.6. Spectrum of Interface Capabilities Slides Graphic9.11.7. Overview Slides Graphic9.11.8. Small Multiples Slides Graphic9.11.9. What Is Visualization? Slides Graphic9.11.10. Why Visualizations? Slides Graphic9.11.11. John Tukey 1 Slides Graphic9.11.12. Challenger Disaster Slides Graphic9.11.13. Morton Thiokol Slides Graphic9.11.14. Make a Decision: Challenger 1 Slides Graphic9.11.15. Make a Decision: Challenger 2 Slides Graphic9.11.16. Information Visualization Slides Graphic9.11.17. How Not To Lie Slides Graphic9.11.18. Tufte: Graphical Integrity 1 Slides Graphic9.11.19. Tufte: Graphical Integrity 2 Slides Graphic9.11.20. Summary Slides Graphic9.11.21. Interactivity Slides Graphic9.11.22. Why? Slides Graphic9.11.23. Plan Slides Graphic9.11.24. John Tukey 2 Slides Graphic9.11.25. Exploratory Versus Confirmatory Slides Graphic9.11.26. John Tukey 3 Slides Graphic9.11.27. Summary Slides Graphic9.11.28. Goal Slides Graphic9.11.29. Spectrum of Interface Capabilities Slides Graphic9.11.30. Interaction Strategy Slides Graphic9.12. 5.1_fast-algorithms-1 Slides Graphic9.12.1. What To Do About REALLY Big Data? Slides Graphic9.12.2. No Time Slides Graphic9.12.3. Really Big Data Slides Graphic9.12.4. What Can We Hope To Do Without Viewin Slides Graphic9.12.5. What Types of Approximation? Slides Graphic9.12.6. Conclusion Slides Graphic9.13. 5.2_fast-algorithms-2 Slides Graphic9.13.1. Streaming and Sampling Slides Graphic9.13.2. Streaming Versus Sampling Slides Graphic9.13.3. Rest of This Lecture Slides Graphic

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9.13.4. Computing Fourier Transform Slides Graphic9.13.5. Idea: Leverage Sparsity Slides Graphic9.13.6. Benefits of Sparse Fourier Transform Slides Graphic9.14. 5.3_data-compression Slides Graphic9.14.1. Learning Big Data Patterns From Tiny Cor Slides Graphic9.14.2. Data Challenge Slides Graphic9.14.3. Challenges Slides Graphic9.14.4. Outline Slides Graphic9.14.5. Coreset and Data Compression Technique Slides Graphic9.14.6. References for Compression Slides Graphic9.14.7. Example: Coresets for Life Logging Slides Graphic9.14.8. System Overview Slides Graphic9.14.9. Coresets for Latent Semantic Analysis Slides Graphic9.14.10. Wrapping Up Slides Graphic9.15. 5.4_machine-learning-tools Slides Graphic9.15.1. Our Research Group Slides Graphic9.15.2. Machine Learning 1 Slides Graphic9.15.3. Machine Learning 2 Slides Graphic9.15.4. Structured Prediction Slides Graphic9.16. 5.5_information-summarization Slides Graphic9.16.1. My Research Slides Graphic9.16.2. Need in Information Extraction Slides Graphic9.16.3. Information Extraction for Big Data Slides Graphic9.16.4. Data Set 1 Slides Graphic9.16.5. Data Set 2 Slides Graphic9.16.6. Conclusion Slides Graphic9.17. 5.6_applications-medicine Slides Graphic9.17.1. My Research Group Slides Graphic9.17.2. Medical Analytics Slides Graphic9.17.3. The Good News Slides Graphic9.17.4. Problems Posed by Increase in Available Slides Graphic9.17.5. Problems Posed by Increase in Available Slides Graphic9.17.6. Using ML to Make Useful Predictions Slides Graphic9.17.7. Accurate Predictions Can Help Slides Graphic9.17.8. The Big Data Challenge Slides Graphic9.17.9. What Is Machine Learning? 1 Slides Graphic9.17.10. What Is Machine Learning? 2 Slides Graphic9.17.11. How Are Things Learned? Slides Graphic9.17.12. Machine Learning Methods Slides Graphic9.17.13. More Not Always Better Slides Graphic9.17.14. Approach Slides Graphic9.17.15. The Data Slides Graphic9.17.16. Variables Considered Slides Graphic9.17.17. Two Step Approach Slides Graphic9.17.18. Results Slides Graphic

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9.17.19. Wrapping Up Slides Graphic9.18. 5.7_applications-finance Slides Graphic9.18.1. Consumer Credit Risk Management Slides Graphic9.18.2. MIT Laboratory for Financial Engineering Slides Graphic9.18.3. Anonymized Data From Large U.S. Comme Slides Graphic9.18.4. Objectives Slides Graphic9.18.5. Machine Learning Objectives Slides Graphic9.18.6. Empirical Results Slides Graphic9.18.7. Macro Forecasts of Credit Losses Slides Graphic9.18.8. Conclusions Slides Graphic10. Course Updates & News Course Inf Wiki10.1. November 4, 2014 http://sem Course Inf Wiki10.1.1. Review the course Syllabus, Wiki, and C Course Inf Wiki10.1.2. Join the course networking groups Course Inf Wiki11. Course Syllabus for Tackling the Challenges o Syllabus Wiki11.1. Time Requirement/Commitment http://sem Syllabus Wiki11.2. Who Should Participate? http://sem Syllabus Wiki11.3. Learning Objectives http://sem Syllabus Wiki11.4. Course Staff http://sem Syllabus Wiki11.5. Course Requirements http://sem Syllabus Wiki11.6. Course Schedule http://sem Syllabus Wiki11.6.1. Week 1 - MODULE ONE: INTRODUCTION Syllabus Wiki11.6.1.1. Introduction: Big Data Challenges (Sa Syllabus Wiki11.6.1.2. Case Study: Transportation (Daniela Rus Syllabus Wiki11.6.1.3. Case Study: Visualizing Twitter (Sam M Syllabus Wiki11.6.1.4. Recommended weekly activities Syllabus Wiki11.6.2. Week 2 - MODULE TWO: BIG DATA COLL Syllabus Wiki11.6.2.1. Data Cleaning and Integration (Michael Syllabus Wiki11.6.2.2. Hosted Data Platforms and the Cloud (M Syllabus Wiki11.6.2.3. Recommended weekly activities Syllabus Wiki11.6.3. Week 3 - MODULE THREE: BIG DATA STO Syllabus Wiki11.6.3.1. Modern Databases (Michael Stonebrake Syllabus Wiki11.6.3.2. Distributed Computing Platforms (Matei Syllabus Wiki11.6.3.3. NoSQL, NewSQL (Sam Madden) Syllabus Wiki11.6.3.4. Recommended weekly activities Syllabus Wiki11.6.4. Week 4 - MODULE FOUR: BIG DATA SYST Syllabus Wiki11.6.4.1. Security (Nickolai Zeldovich) Syllabus Wiki11.6.4.2. Multicore Scalability (Nickolai Zeldovich Syllabus Wiki11.6.4.3. User Interfaces for Data (David Karger) Syllabus Wiki11.6.4.4. Recommended weekly activities Syllabus Wiki11.6.5. Week 5 - MODULE FIVE, PART I: BIG DAT Syllabus Wiki11.6.5.1. Fast Algorithms I (Ronitt Rubinfeld) Syllabus Wiki11.6.5.2. Fast Algorithms II (Piotr Indyk) Syllabus Wiki11.6.5.3. Data Compression (Daniela Rus) Syllabus Wiki11.6.5.4. Recommended weekly activities Syllabus Wiki

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http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Week_1_-_MODULE_ONE:_INTRODUCTION_AND_USE_CASEShttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Introduction:_Big_Data_Challenges_(Sam_Madden)http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Case_Study:_Transportation_(Daniela_Rus)http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Case_Study:_Visualizing_Twitter_(Sam_Madden)http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Recommended_weekly_activitieshttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Week_2_-_MODULE_TWO:_BIG_DATA_COLLECTIONhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Data_Cleaning_and_Integration_(Michael_Stonebraker)https://www.csail.mit.edu/user/1547http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Hosted_Data_Platforms_and_the_Cloud_(Matei_Zaharia)http://www.cs.berkeley.edu/~matei/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Recommended_weekly_activities_2http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Week_3_-_MODULE_THREE:_BIG_DATA_STORAGEhttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Modern_Databases_(Michael_Stonebraker)https://www.csail.mit.edu/user/1547http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Distributed_Computing_Platforms_(Matei_Zaharia)http://www.cs.berkeley.edu/~matei/http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#NoSQL.2C_NewSQL_(Sam_Madden)https://www.csail.mit.edu/user/877http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Recommended_weekly_activities_3http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Week_4_-_MODULE_FOUR:_BIG_DATA_SYSTEMShttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Security_(Nickolai_Zeldovich)http://www.csail.mit.edu/user/1705http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Multicore_Scalability_(Nickolai_Zeldovich)http://www.csail.mit.edu/user/1705http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#User_Interfaces_for_Data_(David_Karger)http://www.csail.mit.edu/user/1542http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Recommended_weekly_activities_4http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Week_5_-_MODULE_FIVE.2C_PART_I:_BIG_DATA_ANALYTICShttp://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Fast_Algorithms_I_(Ronitt_Rubinfeld)https://www.csail.mit.edu/user/896http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Fast_Algorithms_II_(Piotr_Indyk)https://www.csail.mit.edu/user/1540http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Data_Compression_(Daniela_Rus)https://www.csail.mit.edu/user/876http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data#Recommended_weekly_activities_5

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11.6.6. Week 6 - MODULE FIVE, PART II: BIG DA Syllabus Wiki11.6.6.1. Machine Learning Tools (Tommi Jaakko Syllabus Wiki11.6.6.2. Case Study: Information Summarization Syllabus Wiki11.6.6.3. Applications: Medicine (John Guttag) Syllabus Wiki11.6.6.4. Applications: Finance (Andrew Lo) Syllabus Wiki11.6.6.5. Recommended weekly activities Syllabus Wiki11.6.6.6. Completing the course Syllabus Wiki11.6.6.7. Post-course Syllabus Wiki12. Wiki Wiki Wiki12.1. Networking Wiki Wiki12.2. Readings and Resources Wiki Wiki12.3. Resources by Module Wiki Wiki12.3.1. 1.0 Introduction: Big Data Challenges - P Wiki Wiki12.3.1.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.2. 1.1 Case Study: Transportation - PDF of P Wiki Wiki12.3.2.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.3. 1.2 Case Study: Visualizing Twitter - PDF Wiki Wiki12.3.3.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.4. 2.0 Introduction: Big Data Collection Wiki Wiki12.3.5. 2.1 Data Cleaning and Integration - PDF o Wiki Wiki12.3.5.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.6. 2.2 Hosted Data Platforms and the Cloud Wiki Wiki12.3.6.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.7. 3.0 Introduction: Big Data Storage Wiki Wiki12.3.8. 3.1 Modern Databases - PDF of Presentat Wiki Wiki12.3.8.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.9. 3.2 Distributed Computing Platforms - PDF Wiki Wiki12.3.9.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.10. 3.3 NoSQL, NewSQL - PDF of Presentat Wiki Wiki12.3.10.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.11. 4.0 Introduction: Big Data Systems Wiki Wiki12.3.12. 4.1 Security - PDF of Presentation slides Wiki Wiki12.3.12.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.13. 4.2 Multicore Scalability - PDF of Presen Wiki Wiki12.3.13.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.14. 4.3 Visualization and User Interfaces - P Wiki Wiki12.3.14.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.15. 5.0 Introduction: Big Data Analytics Wiki Wiki12.3.16. 5.1 Fast Algorithms I - PDF of Presentati Wiki Wiki12.3.16.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.17. 5.2 Fast Algorithms II - PDF of Presentat Wiki Wiki12.3.17.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.18. 5.3 Data Compression - PDF of Presentat Wiki Wiki12.3.18.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.19. 5.4 Machine Learning Tools - PDF of Pre Wiki Wiki

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12.3.19.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.20. 5.5 Case Study: Information Summarizati Wiki Wiki12.3.20.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.21. 5.6 Applications: Medicine - PDF of Pres Wiki Wiki12.3.21.1. STUDENT-ADDED RESOURCES Wiki Wiki12.3.22. 5.7 Applications: Finance - PDF of Presen Wiki Wiki12.3.22.1. STUDENT-ADDED RESOURCES Wiki Wiki13. NEXT

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http://semanticommunity.info/@api/deki/files/31443/Figure_2_Distributions_of_Day-by-Day_Supply_and_Demand_of_Cab_Services_and_Utilization_Rate_for_the_Week_of_August_15-21%2C_2010.png

http://semanticommunity.info/@api/deki/files/31444/Figure_6_Scatter_Plot_and_Local_Polynomial_Regression_Fitting_of_the_Relationship_between_Shift_Length_and_Wage_Rate_for_all_Shifts.png

http://semanticommunity.info/@api/deki/files/31447/Figure_8_Relationship_between_Shift_Length_and_Wage_Rate_based_on_a_Calibrated_Polynomial_Function.png

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http://semanticommunity.info/@api/deki/files/31439/Appendix_Fares_and_Rates_of_one_of_the_largest_Cab_Operators_in_Singapore.png

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https://nycopendata.socrata.com/http://www.hubcab.org/http://www.mirrorlink.com/https://www.youtube.com/watch?v=fH80C73dz7shttp://en.wikipedia.org/wiki/Linear_regressionhttp://www.directionsmag.com/articles/making-location-work-for-smart-cities-the-case-for-location-standards/421359

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https://community.voltdb.com/downloads/media/navigating-the-database-universe-full-resentation.pdfhttp://usamadar.com/2013/03/02/anti-caching-a-better-way-to-do-memory-management-for-database-systems/http://www.vldb.org/pvldb/vol6/p1942-debrabant.pdfhttp://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1B7F0CA2887BB1B78F7BA92BE84A0615?doi=10.1.1.297.9987&rep=rep1&type=pdfhttp://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdfhttp://scidb.org/http://searchbusinessanalytics.techtarget.com/feature/In-memory-applications-take-on-big-data-analytics-challengehttp://en.wikipedia.org/wiki/FoundationDBhttp://cs-www.cs.yale.edu/homes/dna/talks/abadi-sigmod08-slides.pdfhttp://istc-bigdata.org/index.php/anti-caching-and-non-volatile-memory-for-transactional-dbms/

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http://www.ibm.com/smarterplanet/global/files/in_idea_smarter_computing_to_big-data-analytics_and_path_from_insights-to-value.pdf

http://www.directionsmag.com/articles/making-location-work-for-smart-cities-the-case-for-location-standards/421359

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http://www.techgig.com/tech-news/editors-pick/Big-Data-Cloud-Social-Networks-and-Mobility-IBM-Key-Trends-for-2014-22685?mailer_id=1833&utm_source=Mailer&utm_medium=TG_batch&utm_campaign=digest_news_2014-03-15&[email protected]&activity_name=tgdailynews_2014-03-15&dt=&auto_login=bmFiZWVsYWFyc2hhZEBob3RtYWlsLmNvbUAjJEAjJDQyNjk5MkAjJEAjJDEzODQ0NjExODM=&src_type=autoLogin

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http://www.techgig.com/tech-news/editors-pick/Big-Data-Cloud-Social-Networks-and-Mobility-IBM-Key-Trends-for-2014-22685?mailer_id=1833&utm_source=Mailer&utm_medium=TG_batch&utm_campaign=digest_news_2014-03-15&[email protected]&activity_name=tgdailynews_2014-03-15&dt=&auto_login=bmFiZWVsYWFyc2hhZEBob3RtYWlsLmNvbUAjJEAjJDQyNjk5MkAjJEAjJDEzODQ0NjExODM=&src_type=autoLogin

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Section URL Topic Specific URL URL1. Story Story Narrative2. Slides Slides Graphic2.1. Panel on Big Data Challenges and Opportunities Slides Graphic2.2. NSF’s Perspective and Role Slides Graphic2.3. NSF: Research to Infrastructure Continuum Slides Graphic2.4. Big Data in the CISE Context Slides Graphic2.5. 2013: Core Techniques and Technologies for Advan Slides Graphic2.6. 2014: Critical Techniques and Technologies for Ad Slides Graphic2.7. Data Infrastructure Building Blocks Slides Graphic2.8. NSF Research Traineeship (NRT) Slides Graphic2.9. Initiatives underway…need your inputs Slides Graphic2.10. CISE RFI: Big Data Regional Innovation Hubs Slides Graphic2.11. Big Data Hubs examples… Slides Graphic2.12. RFI National Big Data R&D Initiative Slides Graphic2.13. Increase the Nation’s Data Science Capacity – An Slides Graphic2.14. Thank You! Slides Graphic3. Accelerating the Big Data Innovation Ecosystem Slides Graphic4. Spotfire Dashboard DashboardInteractive5. Research Notes Research Notes5.1. Definition: NAICS 31-33, Manufacturing http://semResearch Web5.1.1. Guide to Data Sources for Manufacturing from t http://semResearch Web5.2. Manufacturers’ Shipments, Inventories, & Orders http://semResearch Web5.2.1. Overview http://semResearch Web5.2.2. 2014-2015 Release Schedule http://semResearch Web5.2.3. Annual Survey of Manufactures: Geographic Area Shttp://semResearch Web5.3. Peter Morosoff http://semResearch Email6. The 2014 IEEE International Conference on Big Data7. Main Page Main PageCopyright8. Main Conference Main Conf PDF8.1. Cover Page Main Conf PDF8.2. Copyright Information & Catalog Numbers Main Conf PDF8.3. Preface Main Conf PDF8.4. Organization Team Members Main Conf Web8.4.1. Big Data Steering Committee Main Conf Web8.4.2. Conference Co-Chairs Main Conf Web8.4.3. Program Co-Chairs Main Conf Web8.4.4. Industry and Government Program Co-Chairs Main Conf Web8.4.5. Workshop Co-Chairs Main Conf Web8.4.6. Poster Co-Chairs Main Conf Web8.4.7. Publicity Co-chairs Main Conf Web8.4.8. Proceedings Co-Chairs Main Conf Web8.4.9. Sponsorship Co-Chairs Main Conf Web8.4.10. Tutorial Co-Chairs Main Conf Web8.4.11. Registration Co-Chairs Main Conf Web

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8.4.12. Student Travel Award Co-Chairs Main Conf Web8.5. Program Committee List Main Conf Web8.5.1. Senior Program Committee Members Main Conf Web8.5.2. Program Committee Members Main Conf Web8.5.3. Industy & Government Program Committee Me Main Conf Web8.6. Keynote Speeches Main Conf Web8.6.1. Never-Ending Language Learning Main Conf Web8.6.1.1. Abstract Main Conf Web8.6.1.2. Biography Main Conf Web8.6.1.3. Never Ending Language Learning Main Conf Graphic8.6.1.4. Rationale Main Conf Graphic8.6.1.5. NELL: Never-Ending Language Learner Main Conf Graphic8.6.1.6. NELL Today Main Conf Graphic8.6.1.7. Summary Main Conf Graphic8.6.1.8. Thank You Main Conf Graphic8.6.2. Smart Data - How you and I will exploit Big Data Main Conf Web8.6.2.1. Abstract Main Conf Web8.6.2.2. Biography Main Conf Web8.6.2.3. Smart Data - How you and I will exploit Big Dat Main Conf Graphic8.6.2.4. Thanks: My Team Main Conf Graphic8.6.2.5. I Will Use Applications in 3 Domains to Demons Main Conf Graphic8.6.2.6. My 2004-2005 Fomulation of SMART DATA-Se Main Conf Graphic8.6.2.7. In Process, Engaging Both Top and Bottom Brai Main Conf Graphic8.6.2.8. W3C Semantic Sensor Network Ontology Main Conf Graphic8.6.2.9. Personalized Digital Health Research and Applic Main Conf Graphic8.6.2.10. Semantic Annotation Using Background Know Main Conf Graphic8.6.2.11. Matching Requests With Offers Main Conf Graphic8.6.2.12. Wrapping Up: Two Excellent Videos Main Conf Graphic8.6.2.13. Wrapping Up: Take Away 1 Main Conf Graphic8.6.2.14. Wrapping Up: Take Away 2 Main Conf Graphic8.6.2.15. Special Thanks Main Conf Graphic8.6.2.16. Kno.e.sis Main Conf Graphic8.6.3. Addressing Human Bottlenecks in Big Data Main Conf Web8.6.3.1. Abstract Main Conf Web8.6.3.2. Biography Main Conf Web8.6.3.3. Addressing Human Bottlenecks in Big Data Main Conf Graphic8.6.3.4. Outline Main Conf Graphic8.6.3.5. I Can Give You Power Main Conf Graphic8.6.3.6. Data Distributed Programming Main Conf Graphic8.6.3.7. Where Does Time Go? Main Conf Graphic8.6.3.8. Wangler 2011: Add Intelligence Main Conf Graphic8.6.3.9. Technical Philosophy Main Conf Graphic8.6.3.10. Takeaways Main Conf Graphic8.7. Sessions Main Conf Web8.7.1. 1. Big Data Foundations Main Conf Web

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or_IEEE_Big_Data#Wrapping_Up:_Two_Excellent_Videoshttps://www.youtube.com/watch?v=XPxjVv98Vgchttps://www.youtube.com/watch?v=NdkVDKWrmOQhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Wrapping_Up:_Take_Away_1http://semanticommunity.info/@api/deki/files/31615/AmitSheth10292014Slide11.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Wrapping_Up:_Take_Away_2http://semanticommunity.info/@api/deki/files/31616/AmitSheth10292014Slide12.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Special_Thankshttp://semanticommunity.info/@api/deki/files/31617/AmitSheth10292014Slide13.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Kno.e.sishttp://knoesis.org/http://semanticommunity.info/@api/deki/files/31605/AmitSheth10292014Slide14.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Addressing_Human_Bottlenecks_in_Big_Datahttp://semanticommunity.info/@api/deki/files/31549/ieeebigdata-keynote-hellerstein.pptx.pdfhttp://www.eecs.berkeley.edu/Faculty/Homepages/hellerstein.htmlhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Abstract_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Biography_3http://www.trifacta.com/company/people/http://cci.drexel.edu/bigdata/bigdata2014/ieeebigdata-keynote-hellerstein.pptx.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Addressing_Human_Bottlenecks_in_Big_Data_2http://semanticommunity.info/@api/deki/files/31598/JosephHellerstein10292014Slide1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Outlinehttp://semanticommunity.info/@api/deki/files/31599/JosephHellerstein10292014Slide2.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#I_Can_Give_You_Powerhttp://semanticommunity.info/@api/deki/files/31600/JosephHellerstein10292014Slide3.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_Distributed_Programminghttp://semanticommunity.info/@api/deki/files/31597/JosephHellerstein10292014Slide4.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Where_Does_Time_Go.3Fhttp://semanticommunity.info/@api/deki/files/31601/JosephHellerstein10292014Slide5.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Wangler_2011:_Add_Intelligencehttp://semanticommunity.info/@api/deki/files/31603/JosephHellerstein10292014Slide6.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Technical_Philosophyhttp://semanticommunity.info/@api/deki/files/31602/JosephHellerstein10292014Slide7.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Takeawayshttp://semanticommunity.info/@api/deki/files/31596/JosephHellerstein10292014Slide8.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Sessionshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#1._Big_Data_Foundations

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8.7.1.1. Regular Papers Main Conf Web8.7.1.1.1. BASIC: an Alternative to BASE for Large-Sc Main Conf Web8.7.1.1.2. BayesWipe: A Multimodal System for Data C Main Conf Web8.7.1.2. Short Papers Main Conf Web8.7.1.2.1. Scaling up M-estimation via sampling design Main Conf Web8.7.1.2.2. Metadata Capital: Simulating the Predictive Main Conf Web8.7.1.2.3. Representative Subsets For Big Data Learnin Main Conf Web8.7.1.2.4. Towards Building and Evaluating a Persona Main Conf Web8.7.1.2.5. On the Performance of MapReduce: A Stocha Main Conf Web8.7.1.2.6. PGMHD: A Scalable Probabilistic Graphical M Main Conf Web8.7.2. 2. Big Data Infrastructure Main Conf Web8.7.2.1. Regular Papers Main Conf Web8.7.2.1.1. FusionFS: Toward Supporting Data-Intensive Main Conf Web

Main Conf Web8.7.2.1.3. Partial Rollback-based Scheduling on In-mem Main Conf Web8.7.2.1.4. Detecting and Identifying System Changes in Main Conf Web

Main Conf Web8.7.2.1.6. Parallel Breadth First Search on GPU Clusters Main Conf Web8.7.2.1.7. Optimizing Load Balancing and Data-Locality Main Conf Web8.7.2.2. Short Papers Main Conf Web8.7.2.2.1. Online Temporal-Spatial Analysis for Detectio Main Conf Web

Main Conf Web8.7.2.2.3. Scheduling MapReduce Tasks on Virtual Map Main Conf Web

Main Conf WebMain Conf WebMain Conf Web

8.7.2.2.7. Large-Scale Network Traffic Monitoring with Main Conf WebMain Conf WebMain Conf WebMain Conf WebMain Conf Web

8.7.2.2.12. Automated Workload-aware Elasticity of No Main Conf WebMain Conf WebMain Conf Web

8.7.2.2.15. In-Memory I/O and Replication for HDFS w Main Conf Web8.7.2.2.16. Enabling Composite Applications through Main Conf Web8.7.2.2.17. k-balanced sorting and skew join in MPI a Main Conf Web8.7.3. 3. Big Data Management Main Conf Web8.7.3.1. Regular Papers Main Conf Web8.7.3.1.1. Virtual Chunks: On Supporting Random Access Main Conf Web8.7.3.1.2. Examination of Data, Rule Generation and De Main Conf Web8.7.3.1.3. Main Memory Evaluation of Recursive Queri Main Conf Web8.7.3.1.4. Predicting Glaucoma Progression using Mult Main Conf Web8.7.3.1.5. Provenance-Based Object Storage Prediction Main Conf Web8.7.3.1.6. Synergistic Partitioning in Multiple Large Sca Main Conf Web

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Regular_Papershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BASIC:_an_Alternative_to_BASE_for_Large-Scale_Data_Management_Systemhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BayesWipe:_A_Multimodal_System_for_Data_Cleaning_and_Consistent_Query_Answering_on_Structured_BigDatahttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Short_Papershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Scaling_up_M-estimation_via_sampling_designs:_the_Horvitz-Thompson_stochastic_gradient_descenthttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Metadata_Capital:_Simulating_the_Predictive_Value_of_Self-Generated_Heatlh_Information_(SGHI)http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Representative_Subsets_For_Big_Data_Learning_using_k-NN_graphshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Towards_Building_and_Evaluating_a_Personalized_Location-Based_Recommender_Systemhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#On_the_Performance_of_MapReduce:_A_Stochastic_Approachhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#PGMHD:_A_Scalable_Probabilistic_Graphical_Model_for_Massive_Hierarchical_Data_Problemshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#2._Big_Data_Infrastructurehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Regular_Papers_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#FusionFS:_Toward_Supporting_Data-Intensive_Scientific_Applications_on_Extreme-Scale_High-Performance_Computing_Systems

8.7.2.1.2. BurstMem: A High-Performance Burst Buffer System for Scientific Applicationshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BurstMem:_A_High-Performance_Burst_Buffer_System_for_Scientific_Applicationshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Partial_Rollback-based_Scheduling_on_In-memory_Transactional_Data_Gridshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Detecting_and_Identifying_System_Changes_in_the_Cloud_via_Discovery_by_Example

8.7.2.1.5. PigOut: Making Multiple Hadoop Clusters Work Togetherhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#PigOut:_Making_Multiple_Hadoop_Clusters_Work_Togetherhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Parallel_Breadth_First_Search_on_GPU_Clustershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Optimizing_Load_Balancing_and_Data-Locality_with_Data-aware_Schedulinghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Short_Papers_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Online_Temporal-Spatial_Analysis_for_Detection_of_Critical_Events_in_Cyber-Physical_Systems

8.7.2.2.2. A Cross-job Framework for MapReduce Schedulinghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#A_Cross-job_Framework_for_MapReduce_Schedulinghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Scheduling_MapReduce_Tasks_on_Virtual_MapReduce_Clusters_from_a_Tenant.E2.80.99s_Perspective

8.7.2.2.4. FlexDAS: A Flexible Direct Attached Storage for I/O Intensive Applicationshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#FlexDAS:_A_Flexible_Direct_Attached_Storage_for_I.2FO_Intensive_Applications8.7.2.2.5. A Two-Sided Market Mechanism for Trading Big Data Computing Commoditieshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#A_Two-Sided_Market_Mechanism_for_Trading_Big_Data_Computing_Commodities8.7.2.2.6. MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mappinghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#MMap:_Fast_Billion-Scale_Graph_Computation_on_a_PC_via_Memory_Mapping

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Large-Scale_Network_Traffic_Monitoring_with_DBStream.2C_a_System_for_Rolling_Big_Data_Analysis8.7.2.2.8. Synthetic Data Generation for the Internet of Thingshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Synthetic_Data_Generation_for_the_Internet_of_Things8.7.2.2.9. Evaluating the Performance and Scalability of the Ceph Distributed Storage Systemhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Evaluating_the_Performance_and_Scalability_of_the_Ceph_Distributed_Storage_System8.7.2.2.10. Incremental Window Aggregates over Array Databasehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Incremental_Window_Aggregates_over_Array_Database8.7.2.2.11. BigCache for Big-data Systems http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BigCache_for_Big-data_Systems

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Automated_Workload-aware_Elasticity_of_NoSQL_Clusters_in_the_Cloud8.7.2.2.13. Distributed Class Dependent Feature Analysis - A Big Data Approachhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Distributed_Class_Dependent_Feature_Analysis_-_A_Big_Data_Approach8.7.2.2.14. VENU: Orchestrating SSDs in Hadoop Storagehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#VENU:_Orchestrating_SSDs_in_Hadoop_Storage

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#In-Memory_I.2FO_and_Replication_for_HDFS_with_Memcached:_Early_Experienceshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Enabling_Composite_Applications_through_an_Asynchronous_Shared_Memory_Interfacehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#k-balanced_sorting_and_skew_join_in_MPI_and_MapReducehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#3._Big_Data_Managementhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Regular_Papers_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Virtual_Chunks:_On_Supporting_Random_Accesses_to_Scientific_Data_in_Compressible_Storage_Systemshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Examination_of_Data.2C_Rule_Generation_and_Detection_of_Phishing_URLs_using_Online_Logistic_Regressionhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Main_Memory_Evaluation_of_Recursive_Queries_on_Multicore_Machineshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Predicting_Glaucoma_Progression_using_Multi-task_Learning_with_Heterogeneous_Featureshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Provenance-Based_Object_Storage_Prediction_Scheme_for_Scientific_Big_Data_Applicationshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Synergistic_Partitioning_in_Multiple_Large_Scale_Social_Networks

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8.7.3.1.7. TRISTAN: Real-Time Analytics on Massive Ti Main Conf Web8.7.3.1.8. Performance Modeling in CUDA Streams - A Main Conf Web8.7.3.2. Short Papers Main Conf Web8.7.3.2.1. Minimizing Data Movement through Query T Main Conf Web8.7.3.2.2. Multilevel Partitioning of Large Unstructured Main Conf Web8.7.3.2.3. Low Complexity Sensing for Big Spatio-Temp Main Conf Web8.7.3.2.4. In-advance Data Analytics for Reducing Time Main Conf Web8.7.4. 4. Big Data Search and Mining Main Conf Web8.7.4.1. Regular Papers Main Conf Web8.7.4.1.1. Learning to Estimate Pairwise Distances in L Main Conf Web8.7.4.1.2. Distributed Adaptive Model Rules for Mining Main Conf Web8.7.4.1.3. Sparse computation for large-scale data mini Main Conf Web8.7.4.1.4. Topic Similarity Networks: Visual Analytics Main Conf Web8.7.4.1.5. Efficient Breadth-First Search on a Heteroge Main Conf Web8.7.4.1.6. Web-based Visual Analytics for Extreme Scal Main Conf Web8.7.4.1.7. Geotagging One Hundred Million Twitter Acc Main Conf Web8.7.4.1.8. Meeting Predictable Buffer Limits in the Par Main Conf Web8.7.4.1.9. Metadata Extraction and Correction for Large Main Conf Web8.7.4.1.10. Facilitating Twitter Data Analytics: Platfor Main Conf Web8.7.4.1.11. Visual Fusion of Mega-City Big Data: An App Main Conf Web8.7.4.1.12. GRAPHiQL: A Graph Intuitive Query Languag Main Conf Web8.7.4.1.13. Evaluating Density-based Motion for Big Dat Main Conf Web8.7.4.1.14. Regression Trees for Streaming Data with Main Conf Web8.7.4.1.15. Distributed Algorithms for k-truss Decompo Main Conf Web8.7.4.1.16. PULP: Scalable Multi-Objective Multi-Const Main Conf Web8.7.4.1.17. Effective Caching Techniques for Accelerat Main Conf Web8.7.4.1.18. Clique Guided Community Detection Main Conf Web8.7.4.1.19. Large-scale Distributed Sorting for GPU- Main Conf Web8.7.4.1.20. Large-scale Logistic Regression and Linear Main Conf Web8.7.4.1.21. NVM-based Hybrid BFS with Memory Efficie Main Conf Web8.7.4.1.22. Identification of SNP Interactions Using Dat Main Conf Web8.7.4.2. Short Papers Main Conf Web8.7.4.2.1. Random Walks on Adjacency Graphs for Minin Main Conf Web8.7.4.2.2. Entity Resolution Using Inferred Relationshi Main Conf Web8.7.4.2.3. Rainbow: A Distributed and Hierarchical RDF Main Conf Web8.7.4.2.4. In-Situ Visualization and Computational Ste Main Conf Web8.7.4.2.5. Building k-nn graphs from large text data Main Conf Web8.7.4.2.6. Learning to Predict Subject-Line Opens for L Main Conf Web8.7.4.2.7. MAGE: Matching Approximate Patterns in Ric Main Conf Web8.7.4.2.8. Bootstrapping K-means for Big data analysis Main Conf Web8.7.4.2.9. Distributed Adaptive Importance Sampling Main Conf Web8.7.4.2.10. Knowledge-based Clustering of Ship Trajec Main Conf Web8.7.4.2.11. Immersive and collaborative data visualizati Main Conf Web8.7.4.2.12. The Adaptive Projection Forest: Using Adjus Main Conf Web8.7.4.2.13. Scaling Up Prioritized Grammar Enumeration Main Conf Web

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8.7.5. 5. Big Data Security & Privacy Main Conf Web8.7.5.1. Regular Papers Main Conf Web8.7.5.1.1. MR-TRIAGE: Scalable Multi-Criteria Clustering Main Conf Web8.7.5.1.2. Increasing the Veracity of Event Detection Main Conf Web8.7.5.2. Short Papers Main Conf Web8.7.5.2.1. Empowering users of social networks to assess Main Conf Web8.7.5.2.2. A Unified Approach to Network Anomaly Det Main Conf Web8.7.6. 6. Big Data Applications Main Conf Web8.7.6.1. Regular Papers Main Conf Web8.7.6.1.1. E-Sketch: Gathering Large-scale Energy Co Main Conf Web8.7.6.1.2. Hierarchical Management of Large-Scale Ma Main Conf Web8.7.6.1.3. Random Projection Based Clustering for Pop Main Conf Web8.7.6.1.4. Structure Recognition from High Resolution Main Conf Web8.7.6.1.5. Combining Hadoop and GPU to Preprocess La Main Conf Web8.7.6.1.6. Content-Based Access Control: Use Data Cont Main Conf Web8.7.6.1.7. Locating Visual Storm Signatures from Satell Main Conf Web8.7.6.1.8. Accurate and Efficient Selection of the Bes Main Conf Web8.7.6.2. Short Papers Main Conf Web8.7.6.2.1. Visualizations for Sense-Making in Financial Main Conf Web8.7.6.2.2. Big Automotive Data - Leveraging large vol Main Conf Web8.7.6.2.3. On the Impact of Socio-economic Factors on Main Conf Web8.7.6.2.4. Toward Personalized and Scalable Voice-Ena Main Conf Web8.7.6.2.5. MaPLE: A MapReduce Pipeline for Lattice-ba Main Conf Web8.7.6.2.6. Dynamic Pre-training of Deep Recurrent Neu Main Conf Web8.7.6.2.7. Perldoop: Efficient Execution of Perl Scripts Main Conf Web8.7.6.2.8. Department of Energy Strategic Roadmap for Main Conf Web8.7.6.2.9. Analyzing the Language of Food on Social Me Main Conf Web8.7.6.2.10. Using Geometric Structures to Improve th Main Conf Web8.7.6.2.11. Empowering Personalized Medicine with Bi Main Conf Web8.7.6.2.12. On Scaling Time Dependent Shortest Path Main Conf Web8.7.6.2.13. High Volume Geospatial Mapping for Inter Main Conf Web8.7.7. 7. Industry and Government Papers Main Conf PDF8.7.7.1. Crowdsourced Query Augmentation through Se Main Conf PDF8.7.7.2. Spatial Computations over Terabyte-Sized Im Main Conf PDF8.7.7.3. Recall Estimation for Rare Topic Retrieval fro Main Conf PDF8.7.7.4. Lightweight Approximate Top-k for Distributed Main Conf PDF8.7.7.5. Query Revision During Cluster Based Search o Main Conf PDF8.7.7.6. Astro: A Predictive Model for Anomaly Detec Main Conf PDF8.7.7.7. Automating Data Integration with HiperFuse Main Conf PDF8.7.7.8. Recommending Similar Items in Large-scale On Main Conf PDF8.7.7.9. SE-CDA: A Scalable and Efficient Community D Main Conf PDF8.7.7.10. Increasing the Accessibility to Big Data Syst Main Conf PDF8.7.7.11. Big Data Predictive Analytics for Proactive Main Conf PDF8.7.7.12. Future Directions of Humans in Big Data Rese Main Conf PDF8.7.7.13. ALOJA: a Systematic Study of Hadoop Deploym Main Conf PDF

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8.7.7.14. Heterogeneous Stream Processing for Disaste Main Conf PDF8.7.7.15. Identifying top Chinese network buzzwords fr Main Conf PDF8.7.7.16. Bridging High Velocity and High Volume Indus Main Conf PDF8.7.7.17. Explore Efficient Data Organization for Large Main Conf PDF8.7.7.18. An Initial Study of Predictive Machine Learni Main Conf PDF8.7.7.19. In Unity There is Strength: Showcasing a Uni Main Conf PDF8.8. Author Index Main Conf PDF9. Panel with Program Directors: Big Data Challenges a Panel Program Di9.1. Dr. Chaitanya Baru (NSF) Panel Program Di9.2. Dr. Yuan Liu (NIH) Panel Program Di9.2.1. Big Data NIH Funding Opportunities Panel Program Di9.2.2. BD2K Funded Phase I Panel Program Di9.2.3. BISTI Funding Opportunities Panel Program Di9.2.4. Seven High Priority Research Areas http://semPanel Program Di9.3. Dr. David Kuehn (DoT) Panel Program Di9.3.1. Data Science Challenges and Opportunities in H Panel Program Di9.3.2. Presentation Outline Panel Program Di9.3.3. Program Status Panel Program Di9.3.4. Connected Highway Systems Panel Program Di9.3.5. Opportunities Panel Program Di9.3.6. Thank You Panel Program Di9.4. Dr.Tsengdar Lee (NASA) Panel Program Di9.4.1. NASA's Big Data Challenges in Climate Science Panel Program Di9.4.2. Projected Data Holdings Panel Program Di9.4.3. Turning Observations into Knowledge and Decisi Panel Program Di9.4.4. Future Directions and Challenges Panel Program Di9.4.5. Research Opportunities Panel Program Di9.4.6. Thank You! Panel Program Di9.5. Dr. Sudarsan Rachuri (NIST) Panel Program Di9.5.1. From Data to Insight: Big Data and Analytics fo Panel Program Di9.5.2. Outline Panel Program Di9.5.3. Smart Manufacturing Systems Design and Analys Panel Program Di9.5.4. Manufacturing Big Data Analytics Panel Program Di9.6. Mr. Matti Vakkuri (DIGILE) Panel Program Di9.6.1. Data to Intelligence Research Program Panel Program Di9.6.2. Data to Intelligence Program Implementation Fac Panel Program Di9.6.3. Data to Intelligence-Main Results Obtained Panel Program Di9.6.4. Oulu Traffic Pilot Panel Program Di9.6.5. Forest Big Data Panel Program Di9.6.6. Remote and HIghly Automated Services Panel Program Di10. Tutorials Tutorials Web10.1. Tutorial 1: Big Data Stream Mining Tutorials Web10.1.1. Presenters Tutorials Web10.1.2. Summary Tutorials Web10.1.3. Content Tutorials Web

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Heterogeneous_Stream_Processing_for_Disaster_Detection_and_Alarminghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Identifying_top_Chinese_network_buzzwords_from_social_media_big_data_set_based_on_time-distribution_featureshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Bridging_High_Velocity_and_High_Volume_Industrial_Big_Data_Through_Distributed_In-Memory_Storage_.26_Analyticshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Explore_Efficient_Data_Organization_for_Large_Scale_Graph_Analytics_and_Storagehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#An_Initial_Study_of_Predictive_Machine_Learning_Analytics_on_Large_Volumes_of_Historical_Data_for_Power_System_Applicationshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#In_Unity_There_is_Strength:_Showcasing_a_Unified_Big_Data_Platform_with_MapReduce_Over_both_Object_and_File_Storagehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Author_Indexhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Panel_with_Program_Directors:_Big_Data_Challenges_and_Opportunitieshttp://cci.drexel.edu/bigdata/bigdata2014/panel.htmhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Dr._Chaitanya_Baru_(NSF)http://cci.drexel.edu/bigdata/bigdata2014/Baru%20IEEE%20BigData%202014%20Panel.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Slideshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Dr._Yuan_Liu_(NIH)http://cci.drexel.edu/bigdata/bigdata2014/NIH%20Funding%20Opportunities%20(2014-10%20IEEE)-Liu.pdfhttp://semanticommunity.info/@api/deki/files/31559/NIH_Funding_Opportunities_(2014-10_IEEE)-Liu.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Big_Data_NIH_Funding_Opportunitieshttp://semanticommunity.info/@api/deki/files/31565/YuanLiu11292014Slide1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BD2K_Funded_Phase_Ihttp://www.nih.gov/news/health/oct2014/od-09.htmhttp://www.whitehouse.gov/blog/2014/10/09/big-data-big-deal-first-recipients-biomedical-big-data-grants-0http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#BISTI_Funding_Opportunitieshttp://www.bisti.nih.gov/funding/http://semanticommunity.info/@api/deki/files/31564/YuanLiu11292014Slide3.png

http://semanticommunity.info/@api/deki/files/31563/YuanLiu11292014Slide4.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Dr._David_Kuehn_(DoT)http://cci.drexel.edu/bigdata/bigdata2014/EAR%20Program%20Presentation%20IEEE%20Big%20Data%2029%20Oct%202014.pdfhttp://semanticommunity.info/@api/deki/files/31583/EAR_Program_Presentation_IEEE_Big_Data_29_Oct_2014.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_Science_Challenges_and_Opportunities_in_Highway_Transportationhttp://semanticommunity.info/@api/deki/files/31584/DavidKuehn10292014Slide1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Presentation_Outlinehttp://semanticommunity.info/@api/deki/files/31586/DavidKuehn10292014Slide2.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Program_Statushttp://semanticommunity.info/@api/deki/files/31587/DavidKuehn10292014Slide3.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Connected_Highway_Systemshttp://semanticommunity.info/@api/deki/files/31588/DavidKuehn10292014Slide4.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Opportunitieshttp://semanticommunity.info/@api/deki/files/31589/DavidKuehn10292014Slide5.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Thank_You_2http://www.fhwa.dot.gov/advancedresearch/[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Dr.Tsengdar_Lee_(NASA)http://cci.drexel.edu/bigdata/bigdata2014/IEEE_BigData2014-Lee.pdfhttp://semanticommunity.info/@api/deki/files/31562/IEEE_BigData2014-Lee.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#NASA's_Big_Data_Challenges_in_Climate_Sciencehttp://semanticommunity.info/@api/deki/files/31576/TsengdarLee10292014Slide1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Projected_Data_Holdingshttp://www.wikiprogress.org/index.php/Main_Pagehttps://redmine.dkrz.de//http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Turning_Observations_into_Knowledge_and_Decision_Productshttp://semanticommunity.info/@api/deki/files/31575/TsengdarLee10292014Slide3.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Future_Directions_and_Challengeshttp://semanticommunity.info/@api/deki/files/31577/TsengdarLee10292014Slide4.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_Opportunitieshttp://nspires.nasaprs.com/external/index.do;jsessionid=tRC9vZIumrewDMZXByiOljd5NHM0O-56lqODhLOWVoZQbWxpTenW!340820084!cassini3.nasaprs.com!7006!9008!39831202!cassini2.nasaprs.com!7006!9007http://semanticommunity.info/@api/deki/files/31578/TsengdarLee10292014Slide5.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#[email protected]://semanticommunity.info/@api/deki/files/31573/TsengdarLee10292014Slide6.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Dr._Sudarsan_Rachuri_(NIST)http://cci.drexel.edu/bigdata/bigdata2014/IEEE%20Panel%20Remarks-Sudarsan.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#From_Data_to_Insight:_Big_Data_and_Analytics_for_Smart_Manufacturing_Systemssudarsan@nist.govhttp://semanticommunity.info/@api/deki/files/31582/SudarsanRachuri10292014Slide_1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Outline_2http://semanticommunity.info/@api/deki/files/31580/SudarsanRachuri10292014Slide_2.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Smart_Manufacturing_Systems_Design_and_Analysishttp://semanticommunity.info/@api/deki/files/31581/SudarsanRachuri10292014Slide_3.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Manufacturing_Big_Data_Analyticshttp://semanticommunity.info/@api/deki/files/31579/SudarsanRachuri10292014Slide_4.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Mr._Matti_Vakkuri_(DIGILE)http://cci.drexel.edu/bigdata/bigdata2014/IEEE_Digile_Big%20Data_Matti_Vakkuri.pdfhttp://semanticommunity.info/@api/deki/files/31560/IEEE_Digile_Big_Data_Matti_Vakkuri.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_to_Intelligence_Research_Programhttp://www.datatointelligence.fi/http://semanticommunity.info/@api/deki/files/31567/MattiVakkuri10292014Slide1.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_to_Intelligence_Program_Implementation_Factshttp://semanticommunity.info/@api/deki/files/31569/MattiVakkuri10292014Slide2.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_to_Intelligence-Main_Results_Obtainedhttp://semanticommunity.info/@api/deki/files/31572/MattiVakkuri10292014Slide3.pnghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Oulu_Traffic_Pilothttp://beta.oulutraffoc/fihttp://semanticommunity.info/@api/deki/files/3157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10.1.4. Short Profiles Tutorials Web10.2. Tutorial 2: Big ML Software for Modern ML Algor Tutorials Web10.2.1. Presenters Tutorials Web10.2.2. Summary Tutorials Web10.2.3. Content Tutorials Web10.2.4. Petuum Tutorials Web10.2.5. Spark Tutorials Web10.2.6. GraphLab Tutorials Web10.3. Tutorial 3: Large-scale Heterogeneous Learning in Tutorials Web10.3.1. Presenter Tutorials Web10.3.2. Summary Tutorials Web10.3.3. Content Tutorials Web10.3.4. Short Profile Tutorials Web10.4. Tutorial 4: Big Data Benchmarking Tutorials Web10.4.1. Presenters Tutorials Web10.4.2. Summary Tutorials Web10.4.3. Content Tutorials Web10.4.4. Short Profile Tutorials Web11. Special Session Special SesWord11.1. Special Session 1: From Data to Insight: Big Dat Special SesWord11.1.1. Overview Special SesWord11.1.2. Organizers Special SesWord11.1.3. Papers Special SesWord11.1.3.1. Toward Smart Manufacturing Using Decision A Special SesWord

Special SesWordSpecial SesWordSpecial SesWordSpecial SesWordSpecial SesWord

11.1.3.7. A System Architecture for Manufacturing Pro Special SesWord11.2. Special Session 2: Special Session on Big Data Re Special SesWord11.2.1. Overview Special SesWord11.2.2. Organizers Special SesWord11.2.3. Papers Special SesWord11.2.3.1. Researching Persons & Organizations AWAKE: Special SesWord

Special SesWordSpecial SesWordSpecial SesWord

11.2.3.5. Data mining and sharing tool for high content Special SesWordSpecial SesWordSpecial SesWordSpecial SesWord

12. Workshops WorkshopsWord12.1. 1. Challenges and Issues on Scholarly Big Data D WorkshopsWord12.1.1. Introduction to workshop WorkshopsWord

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Short_Profileshttps://sites.google.com/site/bigdatastreamminingtutorial/http://cci.drexel.edu/bigdata/bigdata2014/big-data-stream-mining-tutorial.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Tutorial_2:_Big_ML_Software_for_Modern_ML_Algorithmshttp://semanticommunity.info/@api/deki/files/31558/Ho_Xing_BigData2014_Tutorial.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Presenters_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Summary_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Content_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Petuumhttp://www.cs.cmu.edu/~epxing/papers/2013/SSPTable_NIPS2013.pdfhttp://www.cs.cmu.edu/~epxing/papers/2014/Cui_etal_ATC14.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Sparkhttp://www.cs.berkeley.edu/~matei/papers/2010/hotcloud_spark.pdfhttp://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#GraphLabhttp://www.select.cs.cmu.edu/publications/paperdir/uai2010-low-gonzalez-kyrola-bickson-guestrin-hellerstein.pdfhttp://www.select.cs.cmu.edu/publications/paperdir/osdi2012-gonzalez-low-gu-bickson-guestrin.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Tutorial_3:_Large-scale_Heterogeneous_Learning_in_Big_Data_Analyticshttp://semanticommunity.info/@api/deki/files/31557/MTL_BigData_14.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Presenterhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Summary_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Content_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Short_Profilehttp://cci.drexel.edu/bigdata/bigdata2014/MTL_BigData_14.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Tutorial_4:_Big_Data_Benchmarkinghttp://semanticommunity.info/@api/deki/files/31555/IEEE2014TutorialBaruRabl.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Presenters_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Summary_5http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Content_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Short_Profile_2http://online.liebertpub.com/toc/big/1/1http://link.springer.com/chapter/10.1007/978-3-642-36727-4_14http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Special_Sessionhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Special_Session_1:_From_Data_to_Insight:_Big_Data_and_Analytics_for_Smart_Manufacturing_Systemshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Overviewhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Toward_Smart_Manufacturing_Using_Decision_Analytics

11.1.3.2. An Intelligent Machine Monitoring System Using Gaussian Process Regression for Energy Predictionhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#An_Intelligent_Machine_Monitoring_System_Using_Gaussian_Process_Regression_for_Energy_Prediction11.1.3.3. Towards a Domain-Specific Framework for Predictive Analytics in Manufacturinghttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Towards_a_Domain-Specific_Framework_for_Predictive_Analytics_in_Manufacturing11.1.3.4. Uncertainty Quantification in Performance Evaluation of Manufacturing Processeshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Uncertainty_Quantification_in_Performance_Evaluation_of_Manufacturing_Processes11.1.3.5. CloudMan: A Platform for Portable Cloud Manufacturing Serviceshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#CloudMan:_A_Platform_for_Portable_Cloud_Manufacturing_Services11.1.3.6. Building a Rigorous Foundation for Performance Assurance Assessment Techniques for “Smart” Manufacturing Systemshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Building_a_Rigorous_Foundation_for_Performance_Assurance_Assessment_Techniques_for_.E2.80.9CSmart.E2.80.9D_Manufacturing_Systems

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#A_System_Architecture_for_Manufacturing_Process_Analysis_based_on_Big_Data_and_Process_Mining_Techniqueshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Special_Session_2:_Special_Session_on_Big_Data_Representation_and_Processing_in_Data_Sciencehttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Overview_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Researching_Persons_.26_Organizations_AWAKE:_From_Text_to_an_Entity-Centric_Knowledge_Base

11.2.3.2. Integrating Existing Large Scale Medical Laboratory Data Into the Semantic Web Frameworkhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Integrating_Existing_Large_Scale_Medical_Laboratory_Data_Into_the_Semantic_Web_Framework11.2.3.3. Path Knowledge Discovery: Association Mining Based on Multi-Category Lexiconshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Path_Knowledge_Discovery:_Association_Mining_Based_on_Multi-Category_Lexicons11.2.3.4. Stochastic Finite Automata for the Translation of DNA to Proteinhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Stochastic_Finite_Automata_for_the_Translation_of_DNA_to_Protein

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Data_mining_and_sharing_tool_for_high_content_screening_large_scale_biological_image_data11.2.3.6. A Building Performance Evaluation & Visualization Systemhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#A_Building_Performance_Evaluation_.26_Visualization_System11.2.3.7. Statistical Technique for Online Anomaly Detection Using Spark Over Heterogeneous Data from Multi-source VMware Performance Datahttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Statistical_Technique_for_Online_Anomaly_Detection_Using_Spark_Over_Heterogeneous_Data_from_Multi-source_VMware_Performance_Data11.2.3.8. Extracting Discriminative Shapelets from Heterogeneous Sensor Datahttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Extracting_Discriminative_Shapelets_from_Heterogeneous_Sensor_Data

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#1._Challenges_and_Issues_on_Scholarly_Big_Data_Discovery_and_Collaboration_(SBD_2014)http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop

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12.1.2. Research topics included in the workshop WorkshopsWord12.1.3. Organizers WorkshopsWord12.1.4. Papers WorkshopsWord

WorkshopsWord12.2. 2. The 2nd Workshop on Scalable Machine Learni WorkshopsWord12.2.1. Introduction to workshop WorkshopsWord12.2.2. Research topics included in the workshop WorkshopsWord12.2.3. Organizers WorkshopsWord12.2.4. Papers WorkshopsWord12.3. 3. 1st International Workshop on High Performa WorkshopsWord12.3.1. Introduction to workshop WorkshopsWord12.3.2. Research topics included in the workshop WorkshopsWord12.3.3. Organizers WorkshopsWord12.3.4. Papers WorkshopsWord12.4. 6. The Second Workshop on Distributed Storage S WorkshopsWord12.4.1. Introduction to workshop WorkshopsWord12.4.2. Research topics included in the workshop WorkshopsWord12.4.3. Organizers WorkshopsWord12.4.4. Program Committee Members WorkshopsWord12.4.5. Papers WorkshopsWord12.5. 7. First IEEE International Workshop on Big Data WorkshopsWord12.5.1. Introduction to workshop WorkshopsWord12.5.2. Research topics included in the workshop WorkshopsWord12.5.3. Organizers WorkshopsWord12.5.4. Papers WorkshopsWord12.6. 8. The 2nd Workshop on Big Data in Bioinformati WorkshopsWord12.6.1. Introduction to workshop WorkshopsWord12.6.2. Research topics included in the workshop WorkshopsWord12.6.3. Organizers WorkshopsWord12.6.4. Papers WorkshopsWord12.7. 9. 1st Workshop on Management, Search and Mini WorkshopsWord12.7.1. Introduction to workshop WorkshopsWord12.7.2. Research topics included in the workshop WorkshopsWord12.7.3. Organizers WorkshopsWord12.7.4. Papers WorkshopsWord12.8. 10. Using Big Data to Understand Spatial Connecti WorkshopsWord12.8.1. Introduction to workshop WorkshopsWord12.8.2. Research topics included in the workshop WorkshopsWord12.8.3. Organizers WorkshopsWord12.8.4. Papers WorkshopsWord12.9. 15. Workshop on Advances in Software and Hardw WorkshopsWord12.9.1. Introduction to workshop WorkshopsWord12.9.2. Research topics included in the workshop WorkshopsWord12.9.3. Organizers WorkshopsWord12.9.4. Papers WorkshopsWord

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshophttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_3

12.1.5. Sponsors http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Sponsorshttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#2._The_2nd_Workshop_on_Scalable_Machine_Learning-_Theory_and_Applicationszenglin@gmail.comhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#3._1st_International_Workshop_on_High_Performance_Big_Graph_Data_Management_Analysis.2C_and_Miningfgsong@cs.iupui.eduhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_3http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_5http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_5http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#6._The_Second_Workshop_on_Distributed_Storage_Systems_and_Coding_for_Big_Datazhubing@sz.pku.edu.cnhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_4http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_6http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Program_Committee_Members_2http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_6http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#7._First_IEEE_International_Workshop_on_Big_Data_Security_and_Privacy_(BDSP_2014)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_5http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_5http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_7http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_7http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#8._The_2nd_Workshop_on_Big_Data_in_Bioinformatics_and_Health_Care_Informaticsjhuan@ku.eduhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_6http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_6http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_8http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_8http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#9._1st_Workshop_on_Management.2C_Search_and_Mining_of_Massive_Repositories_of_Solar_Astronomy_Data_(SABID'14)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_7http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_7http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_9http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_9http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#10._Using_Big_Data_to_Understand_Spatial_Connectivityclio@mit.eduhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_8http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_8http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_10http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_10http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#15._Workshop_on_Advances_in_Software_and_Hardware_for_Big_Data_to_Knowledge_Discovery_(ASH_2014)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_9http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_9http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_11http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_11

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12.10. 16. IEEE Big Data Workshop on Semantics for Bi WorkshopsWord12.10.1. Introduction to workshop WorkshopsWord12.10.2. Research topics included in the workshop WorkshopsWord12.10.3. Organizers WorkshopsWord12.10.4. Papers WorkshopsWord12.11. 17. Big Data in Computational Epidemiology WorkshopsWord12.11.1. Introduction to workshop WorkshopsWord12.11.2. Research topics included in the workshop WorkshopsWord12.11.3. Organizers WorkshopsWord12.11.4. Papers WorkshopsWord12.12. 18. Large Scale Data Analytics in Transportat WorkshopsWord12.12.1. Introduction to workshop WorkshopsWord12.12.2. Research topics included in the workshop WorkshopsWord12.12.3. Organizers WorkshopsWord12.12.4. Papers WorkshopsWord12.13. 19. 2nd Workshop on Scalable Cloud Data Man WorkshopsWord12.13.1. Introduction to workshop WorkshopsWord12.13.2. Research topics included in the workshop WorkshopsWord12.13.3. Organizers WorkshopsWord12.13.4. Papers WorkshopsWord12.14. 20. Big Humanities Data WorkshopsWord12.14.1. Introduction to workshop WorkshopsWord12.14.2. Research topics included in the workshop WorkshopsWord12.14.3. Organizers WorkshopsWord12.14.4. Papers WorkshopsWord12.15. 21. Complexity for Big Data WorkshopsWord12.15.1. Introduction to workshop WorkshopsWord12.15.2. Research topics included in the workshop WorkshopsWord12.15.3. Organizers WorkshopsWord12.15.4. Papers WorkshopsWord12.16. 23. IEEE NIST Big Data PWG Workshop on Big Dat WorkshopsWord12.16.1. Introduction to workshop WorkshopsWord12.16.2. The candidate list of panels is: WorkshopsWord12.16.3. Organizers WorkshopsWord12.16.4. Papers WorkshopsWord13. Posters Posters13.1. Addressing Data Veracity in Big Data Applications Posters PDF13.2. Machine Learning and Interactive Visualization ap Posters PDF13.3. Big Data: a new challenge for tourism Posters PDF13.4. OME: A tool for generating and managing metada Posters PDF13.5. The EMBERS Architecture for Streaming Predictive Posters PDF13.6. A Novel Approach to Determine Docking Location Posters PDF13.7. Linked Open Data Mining for Democratization of Posters PDF13.8. Building Wrangler: A Transformational Data Int Posters PDF13.9. CELAR: Automated Application Elasticity Platform Posters PDF

http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#16._IEEE_Big_Data_Workshop_on_Semantics_for_Big_Data_on_the_Internet_of_Things_(SemBIoT_2014)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_10http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_10http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_12http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_12http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_11http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_11http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_13http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_13http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#18._Large_Scale_Data_Analytics_in_Transportation_and_Railway_Infrastructure_(BIGDATA-TRANSPORTATION_2014)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_12http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_12http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_14http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_14http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#19._2nd_Workshop_on_Scalable_Cloud_Data_Management_(SCDM_2014)[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_13http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_13http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_15http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_15http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_14http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_14http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_16http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_16http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#[email protected]://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_15http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Research_topics_included_in_the_workshop_15http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_17http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_17http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#23._IEEE_NIST_Big_Data_PWG_Workshop_on_Big_Data-_Challenges.2C_Practices_and_TechnologiesNANCY.W.GRADY@saic.comhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Introduction_to_workshop_16http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#The_candidate_list_of_panels_is:http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Organizers_18http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Papers_18http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Postershttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Addressing_Data_Veracity_in_Big_Data_Applicationshttp://semanticommunity.info/@api/deki/files/31524/P230_4754.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Machine_Learning_and_Interactive_Visualization_applied_to_TB-sized_Images_of_Stem_Cellshttp://semanticommunity.info/@api/deki/files/31516/P222_6003.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Big_Data:_a_new_challenge_for_tourismhttp://semanticommunity.info/@api/deki/files/31527/P223_1967.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#OME:_A_tool_for_generating_and_managing_metadata_to_handle_BigDatahttp://semanticommunity.info/@api/deki/files/31507/P210_3886.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#The_EMBERS_Architecture_for_Streaming_Predictive_Analyticshttp://semanticommunity.info/@api/deki/files/31529/P237_3482.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#A_Novel_Approach_to_Determine_Docking_Locations_Using_Fuzzy_Logic_and_Shape_Determinationhttp://semanticommunity.info/@api/deki/files/31531/P235_1278.pdfhttp://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Li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13.10. Semantic HMC for Big Data Analysis Posters PDF13.11. A Layer Based Architecture for Provenance in Bi Posters PDF13.12. B-dIDS: Mining Anomalies in a Big-distributed I Posters PDF13.13. Enabling Genomic Analysis on Federated Clouds Posters PDF13.14. Challenges of Data Integration and Interoperabili Posters PDF13.15. Large Scale Author Name Disambiguation in Digit Posters PDF13.16. Real-Time Traffic Incident Detection Using Pro Posters PDF13.17. Differentially Private Models of Tollgate Usage Posters PDF13.18. MoDisSENSE: A Distributed Platform for Social Posters PDF13.19. A Challenge of Authorship Identification for Te Posters PDF13.20. Cognitive Map of Tourist Behavior based on Trip Posters PDF13.21. Biclustering using Spark-MapReduce Posters PDF13.22. A Summarization Paradigm for Big Data Posters PDF13.23. An open source framework to add spatial extent a Posters PDF13.24. Developing a Cloud Computing Platform for Big Posters PDF13.25. Cultural Influences and Intelligence in Historica Posters PDF13.26. The Bot Will Serve You Now: Automating Access Posters PDF13.27. Incremental and Parallel Spatial Association Min Posters PDF13.28. Sharding for Literature Search via Cutting Citati Posters PDF13.29. Repair Efficient Storage Codes via Combinatorial Posters PDF14. Sponsors Sponsors Sponsors14.1. IEEE Sponsors IEEE14.2. IEEE Computer Society Sponsors IEEE Compu14.3. Elsevier Sponsors Elsevier14.4. Paradigm4 Sponsors Paradigm414.5. NSF Sponsors NSF14.6. Cisco Sponsors Cisco14.7. CCF Sponsors CCF15. NEXT

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http://hadoop.bsc.es/

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[email protected]

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https://spotfire.cloud.tibco.com/public/ViewAnalysis.aspx?file=/users/bniemann/Public/IEEEManufacturingBigData-Spotfire&waid=dbf92f9941b05610d266c-200515a3b0be17

http://semanticommunity.info/@api/deki/files/31618/Pub_-_Digital_Mockup_-_DMU_-_with_Ship_Fuel_System_Example.PDF

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Frequency Title URLMonthly Manufacturers' Shipments, Inventories, and Orders http:

Manufacturing and Trade Inventory and Sales http:Monthly, quarterCurrent Industrial Reports http:Quarterly Quarterly Financial Report http:

Quarterly Plant Capacity Utilization http:

Quarterly Workforce Indicators http:Annual Annual Survey of Manufactures http:

Business R & D and Innovation Survey http:

Exports from Manufacturing Establishments http:

Profile of U.S. Exporting Companies http:

Annual Capital Expenditures Survey http:

Information and Communication Technology Survey http:

Business Dynamics Statistics http:

County Business Patterns http:

E-Stats (E-Commerce Statistics) http:

Nonemployer Statistics http:

Statistics of U.S. Businesses http:

Statistics of U.S. Businesses -- Employment Change http:

Management and Organizational Practices Survey http:Every 5 years Economic Census http:

Economic Census of Island Areas http:

Survey of Business Owners http:Irregular Pollution Abatement Costs and Expenditures Survey http:

Manufacturing Energy Consumption Survey http:

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Contents URL Number of Industry CategoriesValue of shipments, inventories, new orders and unfilled orders 89Sales, inventories, and inventory/sales ratios 1Value of shipments and/or quantity of production for selected 10-digit p N/AIncome, retained earnings, balance sheets, and related financial and op 33Utilization rate relative to full production capacity and national emerge 93Employment, job creation, separations, turnover, average monthly earni 108Value of shipments, cost of materials, employment, payroll for industries 614Current and projected R&D spending and employment. Data are publish 28Value of shipments and employment related to direct exports and suppor 22Number of exporters and value of exports by employment size of compan 1Capital expenditures for structures and equipment for companies with 40Non-capitalized expenditures for information and communication tech 3Number of establishments and year-to-year change in employments for birAnnualEmployees; payroll; number of establishments with paid employees by 765Total value of shipments and e-commerce value of shipments 22Number of establishments and sales of firms with no paid employees 59Number of firms, employees, payroll, (and revenue, for 2002 only) by em 765Number of establishments and year-to-year change in employment for bir 108The Management and Organizational Practices Survey provides informatio 614

765Number of establishments, sales, employees, and payroll for establishme VariesNumber of firms, sales, employees, and payroll for all businesses and fo 22Capital expenditures and operating costs for pollution prevention and tr 631Energy consumed by use, value of shipments, employment size Irregular

Number of establishments, sales, employees, and payroll (for additional topics available, see Economic Census details)http://www.census.gov/econ/census/guide/g07items.htm

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GeographyU.S.U.S.U.S.U.S.U.S.

States, metro areas, countiesU.S., states

U.S.U.S., statesU.S., states

U.S.U.S.

U.S., statesU.S., states, metro areas, counties, ZIP codes, Puerto Rico

U.S.U.S., states, metro areas, counties

U.S., states, metro areasU.S., states, metro areas, counties

U.S., statesU.S., states, metro areas, counties, places, island areas

Puerto Rico, U.S. Virgin Islands, Guam, Northern Mariana Islands, American SamoaU.S., states, metro areas

U.S.U.S

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Survey month Advance Report (8:30 a.m. release time)October 2014 November 26, 2014November 2014 December 23, 2014December 2014 January 27, 2015January 2015 February 26, 2015February 2015 March 25, 2015March 2015 April 24, 2015April 2015 May 26, 2015May 2015 June 23, 2015June 2015 July 27, 2015July 2015 August 26, 2015August 2015 September 24, 2015September 2015 October 27, 2015October 2015 November 25, 2015November 2015 December 23, 2015

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Full Report (10:00 a.m. release time)December 5, 2014January 6, 2015February 3, 2015March 5, 2015April 2, 2015May 4, 2015June 2, 2015July 2, 2015August 4, 2015September 2, 2015October 2, 2015November 3, 2015December 3, 2015Not available at this time

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Geographic2007 NAICSMeaning ofYear Number of paidRelative st Annual payrollProductionProduction woUnited Sta 31-33 Manufactur2011 10596479.00 1 557,142,848 7,402,625 312,303,512United Sta 311 Food manuf2011 1346165 1 52,512,681 1,063,096 35,857,872United Sta 3111 Animal foo2011 41833 2 2,079,072 28,819 1,265,009United Sta 3112 Grain and o2011 50254 2 2,848,205 37,247 1,919,634United Sta 3113 Sugar and 2011 64,699 1 2,838,499 48,955 1,921,235United Sta 3114 Fruit and v2011 159,213 1 6,248,065 132,411 4,518,724United Sta 3115 Dairy prod2011 129,814 1 6,287,190 94,768 4,154,221United Sta 3116 Animal sla2011 473,419 1 15,096,701 413,814 11,827,841United Sta 3117 Seafood pr2011 29,595 3 1,132,166 24,791 778,662United Sta 3118 Bakeries an2011 242,988 1 9,132,175 167,484 5,472,133United Sta 3119 Other food2011 154,350 1 6,850,607 114,808 4,000,413United Sta 312 Beverage a2011 139,313 1 7,190,210 83,854 3,966,639United Sta 3121 Beverage m2011 125,370 1 6,286,147 72,856 3,388,295United Sta 3122 Tobacco ma2011 13,943 1 904,063 10,998 578,344United Sta 313 Textile mill2011 101,883 2 3,749,919 83,742 2,550,581United Sta 3131 Fiber, yarn2011 24,452 3 749,184 22,416 614,726United Sta 3132 Fabric mills2011 47,991 2 1,862,665 38,778 1,244,004United Sta 3133 Textile and2011 29,441 4 1,138,071 22,548 691,851United Sta 314 Textile pro2011 106,437 2 3,541,600 82,181 2,213,255United Sta 3141 Textile furn2011 54,554 2 1,711,764 43,535 1,121,463United Sta 3149 Other texti2011 51,883 4 1,829,836 38,646 1,091,792United Sta 315 Apparel ma2011 93,892 3 2,610,294 74,650 1,663,661United Sta 3151 Apparel kni2011 13,208 5 358,470 11,122 258,711United Sta 3152 Cut and se2011 72,232 4 2,001,870 57,015 1,262,790United Sta 3159 Apparel ac2011 8,452 3 249,954 6,513 142,159United Sta 316 Leather an2011 27,112 2 868,642 20,237 506,391United Sta 3161 Leather and2011 3,385 1 132,010 2,600 85,036United Sta 3162 Footwear m2011 11,207 1 357,391 8,817 233,843United Sta 3169 Other leat 2011 12,520 4 379,241 8,820 187,511United Sta 321 Wood prod2011 323,301 1 11,808,102 261,818 8,331,771United Sta 3211 Sawmills a 2011 73,271 2 2,918,768 61,775 2,221,368United Sta 3212 Veneer, pl 2011 56,708 3 2,269,662 45,342 1,596,998United Sta 3219 Other wood2011 193,323 2 6,619,673 154,701 4,513,405United Sta 322 Paper manu2011 346,527 1 19,268,406 269,240 13,086,089United Sta 3221 Pulp, paper2011 107,976 1 7,574,921 85,487 5,617,167United Sta 3222 Converted 2011 238,551 1 11,693,485 183,753 7,468,921United Sta 323 Printing an2011 455,650 1 19,681,715 324,312 12,014,710United Sta 3231 Printing an2011 455,650 1 19,681,715 324,312 12,014,710United Sta 324 Petroleum 2011 99,030 1 8,790,063 65,793 5,216,268United Sta 3241 Petroleum 2011 99,030 1 8,790,063 65,793 5,216,268United Sta 325 Chemical m2011 686,712 1 49,251,365 413,939 23,337,125United Sta 3251 Basic chem2011 139,337 1 10,867,250 87,716 6,203,350United Sta 3252 Resin, synt2011 79,404 1 5,527,009 54,930 3,247,895United Sta 3253 Pesticide, 2011 26,933 2 1,679,522 17,138 962,103United Sta 3254 Pharmaceut2011 219,540 1 18,053,546 112,582 6,563,498United Sta 3255 Paint, coa 2011 50,822 2 2,992,794 31,075 1,397,571United Sta 3256 Soap, clea 2011 89,564 2 5,362,954 58,869 2,577,470

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United Sta 3259 Other chem2011 81,112 2 4,768,291 51,628 2,385,238United Sta 326 Plastics a 2011 676,671 1 29,336,605 523,525 18,739,246United Sta 3261 Plastics p 2011 553,806 1 23,343,244 426,909 14,674,074United Sta 3262 Rubber pro2011 122,865 1 5,993,361 96,615 4,065,172United Sta 327 Nonmetalli2011 332,937 1 15,694,495 257,239 10,656,716United Sta 3271 Clay produ2011 31,496 3 1,372,962 24,308 918,080United Sta 3272 Glass and 2011 76,236 2 3,868,421 60,327 2,694,710United Sta 3273 Cement and2011 151,641 2 6,766,266 117,524 4,680,432United Sta 3274 Lime and g2011 11,816 1 645,822 9,722 477,951United Sta 3279 Other nonm2011 61,748 2 3,041,024 45,358 1,885,544United Sta 331 Primary me2011 372,906 1 21,736,867 296,072 15,592,293United Sta 3311 Iron and st2011 102,474 1 7,389,049 82,941 5,753,908United Sta 3312 Steel prod 2011 41,176 3 2,266,325 32,219 1,533,115United Sta 3313 Alumina an2011 50,625 1 2,821,730 40,106 1,998,812United Sta 3314 Nonferrous2011 56,959 1 3,356,917 41,642 2,108,270United Sta 3315 Foundries 2011 121,671 1 5,902,846 99,164 4,198,188United Sta 332 Fabricated2011 1,275,573 1 62,285,239 937,979 38,636,654United Sta 3321 Forging an2011 103,391 1 5,137,859 76,270 3,173,277United Sta 3322 Cutlery an 2011 34,814 6 1,707,618 25,482 1,010,695United Sta 3323 Architectur2011 296,755 1 13,672,577 212,849 8,199,980United Sta 3324 Boiler, tan 2011 76,301 1 4,292,875 56,712 2,773,104United Sta 3325 Hardware m2011 24,062 3 1,158,084 16,715 597,594United Sta 3326 Spring and2011 39,842 2 1,684,047 30,611 1,040,863United Sta 3327 Machine sh2011 338,942 1 16,880,014 257,582 11,319,378United Sta 3328 Coating, en2011 113,993 2 5,062,395 87,436 3,293,054United Sta 3329 Other fabr 2011 247,474 1 12,689,770 174,322 7,228,710United Sta 333 Machinery 2011 963,602 1 54,137,762 620,562 27,750,879United Sta 3331 Agricultur 2011 182,121 2 9,992,410 123,995 5,740,609United Sta 3332 Industrial 2011 101,074 1 6,862,637 54,367 2,671,439United Sta 3333 Commercial2011 74,519 1 4,353,292 42,002 1,785,713United Sta 3334 Ventilation2011 121,994 2 5,537,760 87,484 3,094,184United Sta 3335 Metalworki2011 134,576 1 7,459,811 96,197 4,569,423United Sta 3336 Engine, tu 2011 93,799 1 5,339,117 62,029 2,987,363United Sta 3339 Other gene2011 255,519 1 14,592,735 154,487 6,902,147United Sta 334 Computer a2011 807,335 1 59,373,658 379,804 18,988,316United Sta 3341 Computer a2011 54,121 6 4,144,808 17,412 839,838United Sta 3342 Communica2011 98,932 5 8,424,379 43,135 2,857,990United Sta 3343 Audio and 2011 7,709 9 407,765 3,972 132,275United Sta 3344 Semiconduc2011 265,633 2 16,249,929 166,975 7,475,744United Sta 3345 Navigation2011 365,643 1 29,503,920 137,727 7,306,055United Sta 3346 Manufactur2011 15,297 3 642,857 10,583 376,415United Sta 335 Electrical 2011 324,313 1 16,822,201 219,904 8,893,416United Sta 3351 Electric li 2011 41,699 3 2,013,603 28,247 1,033,141United Sta 3352 Household 2011 42,717 1 1,786,658 36,335 1,318,898United Sta 3353 Electrical 2011 113,092 2 6,116,983 71,497 2,964,525United Sta 3359 Other elec 2011 126,805 2 6,904,958 83,824 3,576,851United Sta 336 Transporta2011 1,238,895 1 77,743,343 839,938 44,848,496United Sta 3361 Motor vehi2011 149,599 2 10,060,883 128,160 8,055,677

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United Sta 3362 Motor vehi2011 97,728 1 4,101,669 76,305 2,773,623United Sta 3363 Motor vehi2011 405,353 1 20,616,517 308,323 13,839,879United Sta 3364 Aerospace 2011 403,128 1 32,727,130 207,863 14,549,252United Sta 3365 Railroad ro2011 27,476 1 1,588,103 18,663 903,411United Sta 3366 Ship and bo2011 121,391 2 6,593,215 79,014 3,691,073United Sta 3369 Other tran2011 34,220 1 2,055,825 21,609 1,035,581United Sta 337 Furniture 2011 321,531 1 12,141,320 237,625 7,270,477United Sta 3371 Household a2011 191,336 2 6,570,615 145,124 4,220,383United Sta 3372 Office furn2011 99,437 2 4,432,360 70,188 2,381,075United Sta 3379 Other furn2011 30,758 2 1,138,346 22,313 669,020United Sta 339 Miscellane2011 556,693 2 28,598,362 347,115 12,182,658United Sta 3391 Medical eq2011 288,238 4 16,699,208 175,472 6,470,402United Sta 3399 Other misc2011 268,455 2 11,899,154 171,643 5,712,256Alabama 31-33 Manufactur2011 213,968 1 10,035,886 161,638 6,480,360Alabama 311 Food manuf2011 28,313 4 870,297 23,155 616,626Alabama 3111 Animal foo2011 1,513 12 68,915 1,032 40,375Alabama 3116 Animal sla2011 18,872 6 493,482 16,824 402,848Alabama 3118 Bakeries an2011 2,238 7 86,536 1,317 46,357Alabama 3119 Other food2011 3,450 2 132,168 2,238 67,429Alabama 312 Beverage a2011 1,340 1 62,738 754 23,924Alabama 3121 Beverage m2011 g S D D DAlabama 313 Textile mill2011 3,352 1 97,083 2,813 71,593Alabama 3131 Fiber, yarn2011 1,506 1 46,486 1,387 39,114Alabama 3132 Fabric mills2011 1,787 1 48,669 1,380 31,255Alabama 314 Textile pro2011 4,582 4 143,821 3,732 91,500Alabama 3141 Textile furn2011 3,290 4 101,836 2,698 62,602Alabama 3149 Other texti2011 1,292 8 41,986 1,033 28,898Alabama 315 Apparel ma2011 2,084 29 49,763 1,773 35,900Alabama 3151 Apparel kni2011 1,129 19 D 1,057 DAlabama 3152 Cut and se2011 f S 25,958 D 14,752Alabama 321 Wood prod2011 12,823 4 439,206 10,753 324,100Alabama 3211 Sawmills a 2011 3,823 9 157,268 3,180 117,956Alabama 3212 Veneer, pl 2011 2,311 2 85,158 1,933 63,899Alabama 3219 Other wood2011 6,689 6 196,780 5,639 142,245Alabama 322 Paper manu2011 11,266 2 792,057 9,074 604,090Alabama 3221 Pulp, paper2011 8,431 1 661,421 6,805 515,998Alabama 3222 Converted 2011 2,835 8 130,636 2,269 88,092Alabama 323 Printing an2011 3,349 13 117,064 2,304 57,064 (s)Alabama 3231 Printing an2011 3,349 13 117,064 2,304 57,064 (s)Alabama 324 Petroleum 2011 1,888 1 130,624 1,335 76,661Alabama 3241 Petroleum 2011 1,888 1 130,624 1,335 76,661Alabama 325 Chemical m2011 10,486 5 669,693 6,928 390,225Alabama 3251 Basic chem2011 3,107 2 271,367 1,866 154,750Alabama 3252 Resin, synt2011 3,965 5 190,952 3,360 148,769Alabama 3253 Pesticide, 2011 1,065 1 66,277 449 24,246Alabama 3254 Pharmaceut2011 1,052 1 50,902 666 25,518Alabama 326 Plastics a 2011 15,640 2 692,356 12,856 500,464Alabama 3261 Plastics p 2011 10,588 3 418,293 8,575 284,876

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Alabama 3262 Rubber pro2011 5,052 2 274,063 4,281 215,588Alabama 327 Nonmetalli2011 6,144 5 289,033 4,782 200,789Alabama 3271 Clay produ2011 966 13 43,087 764 30,875Alabama 3272 Glass and 2011 971 1 49,395 645 31,185Alabama 3273 Cement and2011 2,940 8 133,485 2,378 93,316Alabama 331 Primary me2011 15,115 2 931,175 12,028 696,129Alabama 3311 Iron and st2011 5,531 1 417,554 4,355 334,909Alabama 3312 Steel prod 2011 1,298 1 76,194 962 42,689Alabama 3313 Alumina an2011 1,955 1 106,417 1,686 86,855Alabama 3314 Nonferrous2011 1,274 16 80,262 1,090 62,929Alabama 3315 Foundries 2011 5,058 6 250,748 3,935 168,748Alabama 332 Fabricated2011 20,711 5 903,170 15,063 558,345Alabama 3321 Forging an2011 1,287 18 58,504 995 29,801Alabama 3323 Architectur2011 7,435 5 311,385 5,389 194,242Alabama 3324 Boiler, tan 2011 1,100 1 52,418 873 37,467Alabama 3327 Machine sh2011 4,549 19 190,325 3,226 117,574Alabama 3328 Coating, en2011 1,084 17 54,055 790 31,973Alabama 3329 Other fabr 2011 3,948 2 188,429 2,777 116,242Alabama 333 Machinery 2011 9,915 2 462,913 7,052 278,865Alabama 3331 Agricultur 2011 1,025 1 47,267 566 24,724Alabama 3334 Ventilation2011 1,383 7 55,986 1,087 36,326Alabama 3335 Metalworki2011 1,035 11 44,452 813 32,772Alabama 3336 Engine, tu 2011 1,640 1 83,658 1,290 59,722Alabama 3339 Other gene2011 3,463 4 162,551 2,388 84,026Alabama 334 Computer a2011 9,893 1 596,961 5,217 191,833Alabama 3341 Computer a2011 g S 99,212 D 36,215Alabama 3342 Communica2011 2,973 1 225,471 845 (s) 28,859 (s)Alabama 3344 Semiconduc2011 1,811 7 D 1,194 DAlabama 3345 Navigation2011 2,076 3 142,535 1,019 45,074Alabama 3346 Manufactur2011 g S D D DAlabama 335 Electrical 2011 5,604 2 240,710 4,292 157,576Alabama 3352 Household 2011 g S D D DAlabama 3353 Electrical 2011 1,621 1 61,981 942 29,450Alabama 3359 Other elec 2011 1,734 8 84,138 1,368 53,703Alabama 336 Transporta2011 38,209 2 2,041,271 27,803 1,298,908Alabama 3361 Motor vehi2011 9,640 1 616,376 7,187 435,445Alabama 3362 Motor vehi2011 3,316 8 150,892 2,581 94,762Alabama 3363 Motor vehi2011 14,484 3 636,280 11,263 426,223Alabama 3364 Aerospace 2011 5,687 6 383,324 3,168 180,987Alabama 3366 Ship and bo2011 3,549 6 176,085 2,448 114,730Alabama 3369 Other tran2011 1,087 1 55,414 801 33,592Alabama 337 Furniture 2011 6,331 22 235,417 4,700 142,646Alabama 3371 Household a2011 2,935 (s) 48 (s) 115,022 2,022 (s) 64,311 (s)Alabama 3372 Office furn2011 3,120 2 110,442 2,480 72,540Alabama 339 Miscellane2011 6,868 17 268,940 5,186 162,154Alabama 3391 Medical eq2011 2,777 38 108,550 2,299 (s) 72,818Alabama 3399 Other misc2011 4,091 12 160,390 2,888 89,336Alaska 31-33 Manufactur2011 10,770 7 467,268 8,987 331,338

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Alaska 311 Food manuf2011 7,885 9 297,776 6,890 223,756Alaska 3117 Seafood pr2011 7,567 9 286,168 6,696 217,885Arizona 31-33 Manufactur2011 126,098 2 7,784,745 71,071 3,172,204Arizona 311 Food manuf2011 8,936 3 352,406 6,962 249,037Arizona 3115 Dairy prod2011 1,522 1 85,365 1,040 56,904Arizona 3116 Animal sla2011 1,464 1 48,349 1,233 38,857Arizona 3118 Bakeries an2011 3,058 7 102,788 2,474 77,280Arizona 3119 Other food2011 1,936 7 71,668 1,495 46,154Arizona 312 Beverage a2011 2,285 6 82,396 1,178 37,557Arizona 3121 Beverage m2011 g S D D DArizona 314 Textile pro2011 952 13 28,956 466 (s) 14,560Arizona 321 Wood prod2011 3,735 13 119,866 2,806 79,686Arizona 3219 Other wood2011 3,073 14 97,640 2,328 66,776Arizona 322 Paper manu2011 2,036 3 103,388 1,612 70,616Arizona 3222 Converted 2011 1,914 3 95,054 1,508 64,340Arizona 323 Printing an2011 3,850 20 157,951 2,826 99,613Arizona 3231 Printing an2011 3,850 20 157,951 2,826 99,613Arizona 325 Chemical m2011 3,666 4 255,334 1,936 89,456Arizona 3256 Soap, clea 2011 978 5 87,221 270 8,928Arizona 326 Plastics a 2011 5,862 14 254,132 4,253 159,504Arizona 3261 Plastics p 2011 5,520 15 237,143 3,985 146,919Arizona 327 Nonmetalli2011 4,715 12 223,850 3,658 148,203Arizona 3273 Cement and2011 2,629 19 124,433 1,872 74,621Arizona 331 Primary me2011 3,010 3 143,157 2,250 92,289Arizona 3314 Nonferrous2011 977 5 49,166 658 27,673Arizona 3315 Foundries 2011 965 7 40,173 761 28,445Arizona 332 Fabricated2011 16,921 4 897,079 10,794 448,772Arizona 3323 Architectur2011 4,351 11 176,568 3,137 106,895Arizona 3327 Machine sh2011 4,758 8 241,866 3,424 164,365Arizona 3328 Coating, en2011 1,164 8 45,032 865 28,876Arizona 3329 Other fabr 2011 4,959 2 345,579 2,110 91,898Arizona 333 Machinery 2011 6,559 7 315,276 4,123 141,116Arizona 3331 Agricultur 2011 1,198 13 49,425 741 23,638Arizona 3332 Industrial 2011 1,034 6 52,187 691 23,265Arizona 3334 Ventilation2011 1,068 36 41,391 819 28,557Arizona 3335 Metalworki2011 1,440 8 69,417 722 27,482Arizona 334 Computer a2011 21,190 7 1,685,207 8,794 453,153Arizona 3344 Semiconduc2011 8,529 12 574,122 5,515 267,118Arizona 3345 Navigation2011 11,707 1 1,062,996 2,839 159,621Arizona 335 Electrical 2011 2,230 18 110,285 1,554 53,580Arizona 336 Transporta2011 28,477 1 2,427,339 11,014 793,440Arizona 3363 Motor vehi2011 2,192 1 112,099 1,390 57,659Arizona 3364 Aerospace 2011 25,478 1 2,282,092 9,020 715,569Arizona 337 Furniture 2011 2,109 (s) 63 (s) 86,452 (s) 1,433 (s) 42,171 (s)Arizona 3371 Household a2011 1,272 (s) 87 (s) 45,574 (s) S SArizona 339 Miscellane2011 8,477 11 498,751 4,597 172,502Arizona 3391 Medical eq2011 5,444 2 363,138 2,842 117,263Arizona 3399 Other misc2011 3,032 30 135,613 1,755 55,239

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Arkansas 31-33 Manufactur2011 145,339 2 5,953,523 116,318 4,211,109Arkansas 311 Food manuf2011 39,800 8 1,255,081 34,695 981,127Arkansas 3112 Grain and o2011 2,542 5 101,647 2,044 70,154Arkansas 3114 Fruit and v2011 4,010 1 154,260 3,530 122,259Arkansas 3116 Animal sla2011 28,224 11 792,055 25,343 656,242Arkansas 3118 Bakeries an2011 1,782 1 69,330 1,217 39,529Arkansas 3119 Other food2011 1,367 1 58,972 1,218 44,858Arkansas 316 Leather an2011 1,749 1 34,472 1,365 20,621Arkansas 3162 Footwear m2011 976 1 19,475 D 14,648Arkansas 321 Wood prod2011 8,578 3 333,193 7,323 259,829Arkansas 3211 Sawmills a 2011 3,353 2 129,870 2,964 105,119Arkansas 3212 Veneer, pl 2011 2,264 5 101,433 1,882 78,539Arkansas 3219 Other wood2011 2,961 8 101,889 2,478 76,170Arkansas 322 Paper manu2011 7,672 1 433,045 6,238 322,460Arkansas 3221 Pulp, paper2011 3,196 1 232,684 2,581 172,031Arkansas 3222 Converted 2011 4,476 2 200,361 3,657 150,429Arkansas 323 Printing an2011 3,155 10 144,336 1,972 83,781Arkansas 3231 Printing an2011 3,155 10 144,336 1,972 83,781Arkansas 325 Chemical m2011 4,121 9 205,142 2,578 97,877Arkansas 3251 Basic chem2011 1,265 15 61,648 (s) 575 SArkansas 3256 Soap, clea 2011 1,150 1 58,198 756 35,905Arkansas 326 Plastics a 2011 11,010 4 481,300 8,984 365,889Arkansas 3261 Plastics p 2011 7,152 6 282,212 5,801 205,802Arkansas 3262 Rubber pro2011 3,858 1 199,088 3,183 160,087Arkansas 327 Nonmetalli2011 2,535 11 113,526 1,941 77,406Arkansas 3273 Cement and2011 1,236 22 54,658 969 40,310Arkansas 331 Primary me2011 7,624 1 456,046 6,358 364,360Arkansas 3311 Iron and st2011 2,561 1 208,883 2,130 177,345Arkansas 3312 Steel prod 2011 2,799 1 148,286 2,276 110,450Arkansas 3315 Foundries 2011 1,093 1 44,289 974 34,013Arkansas 332 Fabricated2011 13,202 4 593,511 10,183 390,747Arkansas 3323 Architectur2011 3,599 6 174,372 2,512 102,039Arkansas 3327 Machine sh2011 1,234 39 62,305 971 43,286Arkansas 3329 Other fabr 2011 5,213 2 220,994 4,048 144,401Arkansas 333 Machinery 2011 13,800 5 560,172 10,091 320,200Arkansas 3331 Agricultur 2011 4,057 16 143,381 3,068 82,282Arkansas 3334 Ventilation2011 4,187 1 158,659 3,259 97,575Arkansas 3339 Other gene2011 2,476 7 116,441 1,600 61,939Arkansas 334 Computer a2011 2,619 1 103,921 2,035 70,181Arkansas 3345 Navigation2011 1,496 1 62,922 1,363 53,885Arkansas 335 Electrical 2011 7,521 1 312,527 6,103 233,291Arkansas 3352 Household 2011 f S D D DArkansas 3353 Electrical 2011 3,521 1 142,004 2,821 110,870Arkansas 3359 Other elec 2011 2,807 1 125,934 2,263 90,322Arkansas 336 Transporta2011 11,288 4 532,570 8,497 374,433Arkansas 3362 Motor vehi2011 1,039 34 35,178 888 27,261Arkansas 3363 Motor vehi2011 4,418 2 193,620 3,435 135,625Arkansas 3364 Aerospace 2011 4,071 1 232,621 2,840 163,926

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Arkansas 337 Furniture 2011 4,132 1 133,283 3,202 85,650Arkansas 3371 Household a2011 2,808 2 89,142 2,206 58,059Arkansas 3372 Office furn2011 1,247 1 41,975 937 26,341Arkansas 339 Miscellane2011 3,986 5 141,669 2,923 83,974Arkansas 3391 Medical eq2011 1,638 3 54,506 1,308 38,446Arkansas 3399 Other misc2011 2,348 8 87,163 1,615 45,528California 31-33 Manufactur2011 1,101,221 1 66,006,073 687,334 29,580,139California 311 Food manuf2011 146,150 1 6,006,499 111,635 3,863,924California 3111 Animal foo2011 2,659 14 141,884 1,712 78,653California 3112 Grain and o2011 3,869 11 209,979 2,855 132,948California 3113 Sugar and 2011 7,173 3 343,210 5,152 210,784California 3114 Fruit and v2011 33,209 1 1,300,053 26,932 871,984California 3115 Dairy prod2011 17,586 2 960,626 12,888 633,485California 3116 Animal sla2011 19,244 3 642,600 16,409 484,986California 3117 Seafood pr2011 2,008 1 62,441 1,679 37,008California 3118 Bakeries an2011 31,451 4 1,123,083 21,646 656,418California 3119 Other food2011 28,950 2 1,222,624 22,362 757,658California 312 Beverage a2011 34,455 3 1,848,064 16,682 829,421California 3121 Beverage m2011 k S D D DCalifornia 313 Textile mill2011 7,533 6 232,761 6,168 152,884California 3132 Fabric mills2011 1,444 14 46,549 1,157 30,449California 3133 Textile and2011 5,670 6 173,124 4,619 111,182California 314 Textile pro2011 8,658 7 290,981 6,502 177,239California 3141 Textile furn2011 4,190 9 140,919 3,324 87,315California 3149 Other texti2011 4,467 10 150,062 3,179 89,924California 315 Apparel ma2011 36,708 5 1,068,893 27,919 648,779California 3151 Apparel kni2011 968 4 38,305 775 26,201California 3152 Cut and se2011 34,386 6 971,818 26,252 600,527California 3159 Apparel ac2011 1,354 13 58,770 892 22,050California 316 Leather an2011 3,961 7 115,845 2,574 56,259California 3169 Other leat 2011 3,238 9 96,423 1,973 42,446California 321 Wood prod2011 18,047 7 690,872 14,056 461,029California 3211 Sawmills a 2011 2,881 5 120,864 2,468 95,668California 3212 Veneer, pl 2011 1,763 25 61,281 1,235 36,761California 3219 Other wood2011 13,404 8 508,727 10,354 328,601California 322 Paper manu2011 20,811 3 1,130,506 15,973 726,867California 3221 Pulp, paper2011 1,692 1 122,318 1,389 94,499California 3222 Converted 2011 19,119 4 1,008,188 14,584 632,368California 323 Printing an2011 41,622 5 1,671,874 30,134 980,964California 3231 Printing an2011 41,622 5 1,671,874 30,134 980,964California 324 Petroleum 2011 11,193 9 1,173,922 6,869 697,336California 3241 Petroleum 2011 11,193 9 1,173,922 6,869 697,336California 325 Chemical m2011 67,094 2 5,357,149 37,360 2,009,161California 3251 Basic chem2011 3,986 6 287,381 2,586 172,651California 3252 Resin, synt2011 4,241 14 208,165 2,841 116,744California 3253 Pesticide, 2011 1,692 4 90,513 933 42,050California 3254 Pharmaceut2011 40,082 4 3,805,888 20,160 1,241,505California 3255 Paint, coa 2011 2,929 10 194,876 1,915 94,976

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California 3256 Soap, clea 2011 8,177 2 454,143 5,157 196,167California 3259 Other chem2011 5,988 3 316,183 3,767 145,067California 326 Plastics a 2011 51,985 2 2,226,284 38,754 1,284,279California 3261 Plastics p 2011 46,265 2 1,980,016 34,442 1,148,502California 3262 Rubber pro2011 5,720 5 246,267 4,312 135,777California 327 Nonmetalli2011 24,913 6 1,265,034 19,472 888,174California 3271 Clay produ2011 1,313 35 64,187 933 43,492California 3272 Glass and 2011 6,613 13 362,273 5,246 259,560California 3273 Cement and2011 12,524 7 598,736 9,883 426,600California 3279 Other nonm2011 3,806 15 205,404 2,891 134,792California 331 Primary me2011 16,171 2 846,618 12,802 559,003California 3311 Iron and st2011 2,478 1 157,150 2,111 121,513California 3312 Steel prod 2011 1,829 5 109,553 1,349 60,963California 3313 Alumina an2011 2,662 4 131,440 2,081 85,064California 3314 Nonferrous2011 2,615 4 154,888 1,904 90,663California 3315 Foundries 2011 6,585 4 293,588 5,358 200,799California 332 Fabricated2011 122,773 2 6,021,444 89,539 3,765,814California 3321 Forging an2011 7,023 6 372,913 5,154 225,619California 3322 Cutlery an 2011 2,329 9 117,362 1,587 66,737California 3323 Architectur2011 29,762 3 1,359,117 20,441 785,123California 3324 Boiler, tan 2011 3,894 9 254,553 2,984 184,474California 3325 Hardware m2011 2,746 6 124,558 1,931 67,203California 3326 Spring and2011 2,057 8 82,512 1,555 48,688California 3327 Machine sh2011 41,700 3 2,094,156 32,179 1,443,226California 3328 Coating, en2011 14,957 7 654,138 11,757 438,962California 3329 Other fabr 2011 18,306 2 962,135 11,951 505,781California 333 Machinery 2011 61,463 3 4,266,967 36,258 1,785,812California 3331 Agricultur 2011 3,661 31 205,341 2,414 112,540California 3332 Industrial 2011 9,281 4 894,035 4,125 228,286California 3333 Commercial2011 8,843 6 585,913 5,142 248,409California 3334 Ventilation2011 7,360 8 480,640 4,716 206,799California 3335 Metalworki2011 9,359 2 518,466 6,800 305,234California 3336 Engine, tu 2011 8,076 1 692,933 4,382 284,042California 3339 Other gene2011 14,884 4 889,639 8,679 400,502California 334 Computer a2011 172,917 2 14,494,188 79,222 4,602,017California 3341 Computer a2011 10,609 10 1,088,480 2,784 148,316California 3342 Communica2011 38,543 4 3,882,331 14,319 1,278,201California 3343 Audio and 2011 1,760 30 109,422 662 (s) 28,717California 3344 Semiconduc2011 62,423 4 4,049,066 39,430 1,879,934California 3345 Navigation2011 56,926 2 5,253,203 20,001 1,198,225California 3346 Manufactur2011 2,656 11 111,685 2,026 68,624California 335 Electrical 2011 29,425 5 1,813,942 17,016 739,544California 3351 Electric li 2011 6,451 9 298,570 4,375 144,849California 3353 Electrical 2011 8,281 14 522,369 4,305 180,936California 3359 Other elec 2011 13,967 3 958,595 7,889 397,054California 336 Transporta2011 112,449 2 9,400,076 49,751 2,991,411California 3361 Motor vehi2011 1,985 1 184,936 998 64,863California 3362 Motor vehi2011 4,662 11 186,556 3,613 119,452

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California 3363 Motor vehi2011 15,423 4 687,850 10,367 396,419California 3364 Aerospace 2011 76,918 2 7,599,792 26,198 1,970,498California 3366 Ship and bo2011 9,502 6 446,255 6,502 355,731California 3369 Other tran2011 3,254 4 249,659 1,579 60,389California 337 Furniture 2011 30,515 6 1,110,297 22,154 641,379California 3371 Household a2011 17,842 10 605,805 13,177 361,305California 3372 Office furn2011 8,932 5 363,617 6,376 200,741California 3379 Other furn2011 3,742 5 140,875 2,601 79,333California 339 Miscellane2011 82,378 2 4,973,857 46,495 1,718,843California 3391 Medical eq2011 50,392 2 3,451,045 26,238 1,025,417California 3399 Other misc2011 31,986 5 1,522,812 20,258 693,427Colorado 31-33 Manufactur2011 109,281 2 6,025,133 73,088 3,170,490Colorado 311 Food manuf2011 16,393 2 627,040 12,925 435,719Colorado 3113 Sugar and 2011 1,147 1 43,381 797 24,840Colorado 3115 Dairy prod2011 1,578 9 69,926 1,060 44,124Colorado 3116 Animal sla2011 7,478 1 254,312 6,474 209,103Colorado 3118 Bakeries an2011 3,170 7 121,624 2,298 74,769Colorado 3119 Other food2011 1,359 2 54,928 1,029 29,349Colorado 312 Beverage a2011 3,439 2 206,856 2,259 132,634Colorado 3121 Beverage m2011 h S D D DColorado 314 Textile pro2011 1,752 1 76,669 1,252 41,533Colorado 3149 Other texti2011 1,596 1 72,815 1,137 39,277Colorado 321 Wood prod2011 3,163 9 107,858 2,469 71,061Colorado 3219 Other wood2011 2,487 8 80,867 1,984 53,631Colorado 322 Paper manu2011 1,293 11 67,286 930 43,529Colorado 3222 Converted 2011 1,293 11 67,286 930 43,529Colorado 323 Printing an2011 5,655 8 233,254 3,910 141,668Colorado 3231 Printing an2011 5,655 8 233,254 3,910 141,668Colorado 325 Chemical m2011 4,410 15 319,919 3,092 176,950Colorado 3254 Pharmaceut2011 1,670 38 184,046 1,333 101,463Colorado 3259 Other chem2011 1,206 14 60,085 889 36,617Colorado 326 Plastics a 2011 3,699 20 176,870 2,797 111,709Colorado 3261 Plastics p 2011 3,595 20 172,768 2,721 109,341Colorado 327 Nonmetalli2011 6,930 4 341,940 5,428 238,551Colorado 3271 Clay produ2011 1,524 5 78,183 1,258 59,559Colorado 3273 Cement and2011 3,441 6 165,903 2,638 107,617Colorado 3279 Other nonm2011 969 10 D 764 DColorado 331 Primary me2011 1,962 1 104,726 1,679 76,655Colorado 3311 Iron and st2011 g S D D DColorado 332 Fabricated2011 13,383 5 642,551 9,638 411,381Colorado 3323 Architectur2011 3,962 12 179,255 3,071 113,229Colorado 3324 Boiler, tan 2011 971 14 70,527 721 52,736Colorado 3327 Machine sh2011 4,375 11 191,670 3,038 127,845Colorado 3329 Other fabr 2011 1,476 9 78,749 794 33,770Colorado 333 Machinery 2011 9,483 5 564,871 5,504 243,254Colorado 3332 Industrial 2011 1,009 2 63,979 595 24,543Colorado 3333 Commercial2011 1,079 36 87,373 (s) 722 33,345Colorado 3334 Ventilation2011 1,027 1 49,448 757 27,795

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Colorado 3336 Engine, tu 2011 2,657 1 157,204 1,290 63,556Colorado 3339 Other gene2011 2,501 4 147,208 1,246 56,224Colorado 334 Computer a2011 16,128 2 1,203,625 6,925 345,905Colorado 3341 Computer a2011 1,538 4 107,014 591 27,552Colorado 3342 Communica2011 1,272 19 96,269 329 (s) 23,403Colorado 3344 Semiconduc2011 5,166 2 356,204 3,355 173,374Colorado 3345 Navigation2011 8,013 2 637,358 2,566 118,629Colorado 335 Electrical 2011 1,408 6 86,574 979 51,228Colorado 336 Transporta2011 6,403 7 486,252 4,709 331,328Colorado 3364 Aerospace 2011 4,864 9 415,776 3,688 288,935Colorado 337 Furniture 2011 3,402 13 132,783 2,459 79,372Colorado 3371 Household a2011 1,707 25 59,790 1,377 40,865Colorado 3372 Office furn2011 1,249 9 57,055 711 25,896Colorado 339 Miscellane2011 8,762 9 556,453 5,039 186,893Colorado 3391 Medical eq2011 6,374 3 429,957 3,137 115,432Colorado 3399 Other misc2011 2,388 34 126,496 1,901 71,461Connecticu31-33 Manufactur2011 153,462 1 9,452,822 94,176 4,482,273Connecticu311 Food manuf2011 5,978 2 249,930 4,197 142,100Connecticu3118 Bakeries an2011 3,104 3 120,386 2,063 73,751Connecticu3119 Other food2011 1,255 6 58,513 973 25,941Connecticu314 Textile pro2011 962 11 34,689 794 24,473Connecticu321 Wood prod2011 1,045 24 38,542 654 19,550Connecticu322 Paper manu2011 3,332 7 194,687 2,373 122,039Connecticu3221 Pulp, paper2011 1,215 1 86,514 860 61,637Connecticu3222 Converted 2011 2,117 11 108,173 1,513 60,402Connecticu323 Printing an2011 6,642 5 308,847 4,389 167,292Connecticu3231 Printing an2011 6,642 5 308,847 4,389 167,292Connecticu325 Chemical m2011 5,936 8 385,184 3,374 167,691Connecticu3256 Soap, clea 2011 1,785 27 89,912 1,159 46,665 (s)Connecticu3259 Other chem2011 1,483 1 103,771 754 37,453Connecticu326 Plastics a 2011 6,199 5 309,267 4,738 197,785Connecticu3261 Plastics p 2011 5,393 6 270,619 4,084 171,126Connecticu327 Nonmetalli2011 3,110 2 172,337 2,036 80,863Connecticu3272 Glass and 2011 998 1 63,326 500 19,345Connecticu3273 Cement and2011 1,260 5 68,954 883 41,436Connecticu331 Primary me2011 3,219 4 189,765 2,313 118,421Connecticu3314 Nonferrous2011 1,145 11 67,248 726 35,170Connecticu332 Fabricated2011 30,162 2 1,594,076 21,993 964,422Connecticu3321 Forging an2011 4,275 6 231,925 3,219 126,923Connecticu3322 Cutlery an 2011 2,168 1 125,931 1,511 64,644Connecticu3323 Architectur2011 2,511 9 133,551 1,814 79,151Connecticu3325 Hardware m2011 1,508 3 76,493 946 41,996Connecticu3326 Spring and2011 1,007 7 49,005 795 30,857Connecticu3327 Machine sh2011 9,627 4 519,205 7,300 357,401Connecticu3328 Coating, en2011 3,537 3 160,415 2,670 105,062Connecticu3329 Other fabr 2011 5,212 1 282,328 3,489 148,450Connecticu333 Machinery 2011 12,659 3 837,284 7,223 367,407Connecticu3332 Industrial 2011 3,028 5 262,942 1,300 83,866

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Connecticu3333 Commercial2011 1,729 1 73,307 1,266 41,710Connecticu3335 Metalworki2011 2,996 4 176,452 1,836 92,333Connecticu3336 Engine, tu 2011 1,602 5 104,626 1,076 64,049Connecticu3339 Other gene2011 2,749 13 189,920 1,394 69,939Connecticu334 Computer a2011 15,333 2 1,052,325 7,845 355,438Connecticu3342 Communica2011 2,101 1 137,205 961 37,882Connecticu3344 Semiconduc2011 4,170 2 216,707 2,885 120,225Connecticu3345 Navigation2011 8,632 4 665,167 3,913 192,948Connecticu335 Electrical 2011 8,181 5 477,893 4,829 207,873Connecticu3351 Electric li 2011 g S D D DConnecticu3353 Electrical 2011 2,172 10 125,897 1,367 63,197Connecticu3359 Other elec 2011 4,878 7 293,711 2,708 117,840Connecticu336 Transporta2011 38,853 1 3,027,332 19,763 1,264,576Connecticu3363 Motor vehi2011 h S D 2,102 DConnecticu3364 Aerospace 2011 27,039 2 2,140,082 15,205 1,026,905Connecticu3366 Ship and bo2011 i S D D DConnecticu337 Furniture 2011 2,368 9 99,615 1,613 54,289Connecticu339 Miscellane2011 7,338 7 386,375 4,600 175,282Connecticu3391 Medical eq2011 5,400 7 298,287 3,345 131,960Connecticu3399 Other misc2011 1,937 16 88,088 1,255 43,322Delaware 31-33 Manufactur2011 26,735 2 1,421,683 18,358 759,090Delaware 311 Food manuf2011 8,084 1 242,886 6,916 185,020Delaware 3116 Animal sla2011 6,540 1 170,893 5,681 137,397Delaware 325 Chemical m2011 4,288 1 345,332 1,991 142,162Delaware 3254 Pharmaceut2011 2,086 1 184,086 639 47,686Delaware 326 Plastics a 2011 1,987 6 98,722 1,364 55,195Delaware 3261 Plastics p 2011 1,847 6 91,190 1,264 51,279Delaware 332 Fabricated2011 2,205 4 115,177 1,615 73,012Delaware 3323 Architectur2011 1,149 7 59,009 850 38,729Delaware 334 Computer a2011 2,212 1 194,494 667 30,519Delaware 3345 Navigation2011 2,011 1 183,957 563 26,768Delaware 335 Electrical 2011 1,185 1 69,774 750 31,902Delaware 3359 Other elec 2011 1,002 1 59,492 627 26,485Delaware 339 Miscellane2011 1,666 1 86,526 1,172 53,523Delaware 3391 Medical eq2011 1,286 1 64,012 900 37,744District of 31-33 Manufactur2011 969 19 40,490 652 22,248Florida 31-33 Manufactur2011 252,754 4 12,797,021 168,334 6,452,636Florida 311 Food manuf2011 23,137 6 1,048,958 17,326 679,224Florida 3113 Sugar and 2011 2,127 4 109,855 1,433 84,631Florida 3114 Fruit and v2011 5,762 1 275,403 4,493 200,689Florida 3115 Dairy prod2011 2,071 5 95,369 1,557 67,847Florida 3116 Animal sla2011 3,148 10 97,133 2,683 73,323Florida 3117 Seafood pr2011 1,083 1 45,071 823 21,463Florida 3118 Bakeries an2011 5,290 24 240,286 3,767 131,024Florida 3119 Other food2011 3,219 4 166,567 2,231 86,025Florida 312 Beverage a2011 5,761 4 328,021 3,912 193,379Florida 3121 Beverage m2011 4,488 5 235,807 2,976 149,131Florida 3122 Tobacco ma2011 1,273 1 92,214 936 44,248

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Florida 314 Textile pro2011 3,167 8 106,478 2,157 53,921Florida 3141 Textile furn2011 1,292 9 33,436 1,100 23,374Florida 3149 Other texti2011 1,876 13 73,043 1,057 30,547Florida 315 Apparel ma2011 2,874 11 67,371 2,457 47,717Florida 3152 Cut and se2011 2,240 14 50,204 1,984 38,855Florida 321 Wood prod2011 7,209 12 267,176 5,950 191,647Florida 3211 Sawmills a 2011 1,843 7 61,753 1,504 43,439Florida 3212 Veneer, pl 2011 1,547 34 64,463 1,273 49,285Florida 3219 Other wood2011 3,819 18 140,960 3,174 98,923Florida 322 Paper manu2011 7,440 4 441,178 5,696 296,985Florida 3221 Pulp, paper2011 3,559 1 254,904 2,880 190,159Florida 3222 Converted 2011 3,881 8 186,274 2,816 106,826Florida 323 Printing an2011 13,848 10 550,530 9,647 337,147Florida 3231 Printing an2011 13,848 10 550,530 9,647 337,147Florida 324 Petroleum 2011 1,522 3 75,605 1,196 53,796Florida 3241 Petroleum 2011 1,522 3 75,605 1,196 53,796Florida 325 Chemical m2011 16,586 6 1,063,186 9,612 498,367Florida 3252 Resin, synt2011 1,736 1 128,178 1,313 78,561Florida 3253 Pesticide, 2011 3,392 2 215,017 2,289 133,672Florida 3254 Pharmaceut2011 5,677 18 409,973 2,506 146,148Florida 3255 Paint, coa 2011 1,001 15 50,244 549 21,607Florida 3256 Soap, clea 2011 2,487 6 131,078 1,471 49,551Florida 3259 Other chem2011 1,409 4 74,617 898 36,431Florida 326 Plastics a 2011 10,198 3 411,613 7,372 239,914Florida 3261 Plastics p 2011 9,215 4 367,124 6,768 217,580Florida 3262 Rubber pro2011 983 10 44,490 605 22,334Florida 327 Nonmetalli2011 13,132 7 530,675 10,449 376,977Florida 3272 Glass and 2011 1,681 3 72,096 1,249 49,350Florida 3273 Cement and2011 8,983 6 355,236 7,263 258,857Florida 3279 Other nonm2011 2,035 37 82,735 1,588 (s) 54,579Florida 331 Primary me2011 3,044 7 149,063 2,350 94,598Florida 332 Fabricated2011 24,464 4 1,074,851 17,810 654,439Florida 3321 Forging an2011 1,194 15 49,564 945 32,079Florida 3323 Architectur2011 10,306 7 420,643 7,076 236,158Florida 3324 Boiler, tan 2011 1,224 8 69,786 905 47,076Florida 3327 Machine sh2011 4,799 9 219,147 3,718 144,615Florida 3328 Coating, en2011 1,249 16 47,565 865 28,698Florida 3329 Other fabr 2011 4,449 11 211,089 3,404 134,369Florida 333 Machinery 2011 17,970 2 1,054,554 10,323 437,970Florida 3331 Agricultur 2011 1,341 1 85,013 858 49,972Florida 3332 Industrial 2011 1,405 8 88,312 594 32,790Florida 3333 Commercial2011 5,078 2 394,986 2,186 112,189Florida 3334 Ventilation2011 3,118 5 129,266 2,313 67,641Florida 3335 Metalworki2011 1,313 11 56,031 916 36,347Florida 3339 Other gene2011 4,778 5 250,463 2,945 114,721Florida 334 Computer a2011 33,601 10 2,486,699 13,405 710,779Florida 3341 Computer a2011 1,812 1 134,860 731 24,971Florida 3342 Communica2011 6,513 10 514,630 4,170 277,075

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Florida 3344 Semiconduc2011 6,065 29 333,201 3,706 168,399Florida 3345 Navigation2011 19,063 14 1,479,784 4,698 232,110Florida 335 Electrical 2011 6,739 12 314,759 4,773 173,634Florida 3351 Electric li 2011 1,266 14 46,344 858 23,075Florida 3353 Electrical 2011 2,310 24 125,824 1,415 61,990Florida 3359 Other elec 2011 3,122 18 140,828 2,472 87,505Florida 336 Transporta2011 21,167 8 1,155,179 14,170 603,078Florida 3362 Motor vehi2011 2,211 13 92,878 1,487 55,233Florida 3363 Motor vehi2011 2,802 17 124,792 2,219 83,614Florida 3364 Aerospace 2011 9,196 4 633,743 5,296 255,419Florida 3366 Ship and bo2011 5,813 27 253,859 4,497 182,181Florida 337 Furniture 2011 6,925 18 235,804 5,001 138,270Florida 3371 Household a2011 3,299 38 115,937 2,298 (s) 64,651 (s)Florida 3372 Office furn2011 1,685 11 62,035 1,233 35,988Florida 3379 Other furn2011 1,941 2 57,831 1,470 37,631Florida 339 Miscellane2011 32,566 30 1,385,053 23,698 645,201Florida 3391 Medical eq2011 22,744 (s) 42 (s) 1,008,402 17,450 (s) 451,338Florida 3399 Other misc2011 9,823 15 376,652 6,248 193,862Georgia 31-33 Manufactur2011 311,691 1 14,282,819 239,227 9,041,605Georgia 311 Food manuf2011 57,421 1 1,969,296 48,019 1,415,847Georgia 3111 Animal foo2011 1,292 12 72,544 1,039 48,199Georgia 3112 Grain and o2011 1,888 1 102,941 1,338 67,928Georgia 3113 Sugar and 2011 1,677 27 81,217 1,238 50,575Georgia 3116 Animal sla2011 34,047 2 964,814 30,890 795,224Georgia 3117 Seafood pr2011 971 1 38,728 719 20,807Georgia 3118 Bakeries an2011 11,262 3 439,697 7,902 263,330Georgia 3119 Other food2011 4,641 2 204,884 3,496 121,471Georgia 312 Beverage a2011 3,012 7 162,851 2,232 107,443Georgia 3121 Beverage m2011 h S D D DGeorgia 313 Textile mill2011 15,331 4 513,457 13,592 392,706Georgia 3131 Fiber, yarn2011 7,168 6 206,459 6,522 170,373Georgia 3132 Fabric mills2011 5,418 5 197,140 4,771 147,424Georgia 3133 Textile and2011 2,745 9 109,858 2,299 74,910Georgia 314 Textile pro2011 26,167 3 914,604 21,315 624,519Georgia 3141 Textile furn2011 20,907 1 720,906 17,103 492,108Georgia 3149 Other texti2011 5,261 15 193,699 4,212 132,411Georgia 315 Apparel ma2011 1,685 21 40,242 1,421 27,688Georgia 3152 Cut and se2011 1,560 22 36,932 1,323 25,620Georgia 321 Wood prod2011 12,428 6 441,243 10,335 329,304Georgia 3211 Sawmills a 2011 5,359 3 204,302 4,488 153,503Georgia 3212 Veneer, pl 2011 1,826 20 76,622 1,536 59,507Georgia 3219 Other wood2011 5,243 11 160,320 4,311 116,294Georgia 322 Paper manu2011 17,239 2 1,065,361 13,893 759,638Georgia 3221 Pulp, paper2011 7,834 1 585,997 6,266 425,712Georgia 3222 Converted 2011 9,405 3 479,364 7,627 333,926Georgia 323 Printing an2011 12,689 8 593,445 8,831 363,542Georgia 3231 Printing an2011 12,689 8 593,445 8,831 363,542Georgia 324 Petroleum 2011 1,087 6 61,871 790 38,664

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Georgia 3241 Petroleum 2011 1,087 6 61,871 790 38,664Georgia 325 Chemical m2011 17,798 2 1,054,554 12,145 609,038Georgia 3251 Basic chem2011 3,294 3 229,383 2,101 124,147Georgia 3252 Resin, synt2011 3,261 5 174,988 2,443 123,766Georgia 3253 Pesticide, 2011 1,273 4 57,097 826 31,322Georgia 3254 Pharmaceut2011 1,975 1 165,823 1,039 71,628Georgia 3255 Paint, coa 2011 1,971 5 105,915 1,535 71,235Georgia 3256 Soap, clea 2011 2,412 8 145,496 1,680 83,670Georgia 3259 Other chem2011 3,613 1 175,852 2,522 103,270Georgia 326 Plastics a 2011 19,958 11 867,021 15,760 562,742Georgia 3261 Plastics p 2011 15,018 14 641,982 11,876 416,955Georgia 3262 Rubber pro2011 4,940 2 225,038 3,884 145,787Georgia 327 Nonmetalli2011 11,363 7 555,586 8,918 393,222Georgia 3271 Clay produ2011 1,784 10 77,148 1,330 48,216Georgia 3272 Glass and 2011 1,624 18 95,578 1,378 73,418Georgia 3273 Cement and2011 3,226 18 142,439 2,676 108,976Georgia 3279 Other nonm2011 4,441 9 224,998 3,313 152,897Georgia 331 Primary me2011 4,310 1 196,294 3,576 151,272Georgia 3313 Alumina an2011 1,641 1 70,338 1,308 52,127Georgia 3315 Foundries 2011 1,344 1 47,917 1,221 40,475Georgia 332 Fabricated2011 19,999 10 896,634 14,858 558,764Georgia 3321 Forging an2011 1,350 13 59,113 898 31,560Georgia 3323 Architectur2011 8,341 6 341,471 6,134 205,417Georgia 3324 Boiler, tan 2011 2,007 3 98,522 1,511 62,706Georgia 3326 Spring and2011 1,079 4 42,278 822 25,633Georgia 3327 Machine sh2011 4,213 14 201,690 2,872 122,010Georgia 3328 Coating, en2011 1,060 12 46,334 809 27,519Georgia 3329 Other fabr 2011 3,023 7 123,112 2,422 79,126Georgia 333 Machinery 2011 18,067 2 915,275 11,757 451,528Georgia 3331 Agricultur 2011 3,444 6 172,963 2,275 87,708Georgia 3332 Industrial 2011 2,539 9 134,892 1,534 55,629Georgia 3333 Commercial2011 1,264 4 59,699 805 26,358Georgia 3334 Ventilation2011 5,225 3 248,881 3,665 133,830Georgia 3336 Engine, tu 2011 1,206 1 56,609 814 34,005Georgia 3339 Other gene2011 3,651 5 207,040 2,070 89,596Georgia 334 Computer a2011 5,606 9 378,151 2,476 94,147Georgia 3341 Computer a2011 956 1 58,436 393 15,263Georgia 3342 Communica2011 1,376 22 130,782 427 18,174Georgia 3345 Navigation2011 2,484 6 148,131 1,113 42,820Georgia 335 Electrical 2011 10,934 3 524,656 8,064 312,771Georgia 3351 Electric li 2011 1,001 1 36,853 811 25,890Georgia 3352 Household 2011 1,650 2 56,643 1,518 45,404Georgia 3353 Electrical 2011 3,979 2 231,547 2,452 113,016Georgia 3359 Other elec 2011 4,304 6 199,614 3,282 128,461Georgia 336 Transporta2011 36,803 1 2,330,453 26,702 1,360,220Georgia 3361 Motor vehi2011 h S D D DGeorgia 3362 Motor vehi2011 1,537 17 65,347 1,267 40,383Georgia 3363 Motor vehi2011 9,160 4 429,447 6,914 288,766

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Georgia 3364 Aerospace 2011 17,735 1 1,381,044 12,728 794,656Georgia 3366 Ship and bo2011 1,417 15 59,632 1,080 38,598Georgia 3369 Other tran2011 3,072 1 181,247 1,489 49,576Georgia 337 Furniture 2011 9,696 5 324,052 7,637 222,793Georgia 3371 Household a2011 5,046 6 156,126 3,977 107,309Georgia 3372 Office furn2011 3,523 9 133,071 2,810 92,999Georgia 3379 Other furn2011 1,126 12 34,855 850 22,485Georgia 339 Miscellane2011 9,995 8 473,677 6,850 264,353Georgia 3391 Medical eq2011 4,429 13 259,611 3,109 159,086Georgia 3399 Other misc2011 5,566 9 214,066 3,741 105,267Hawaii 31-33 Manufactur2011 10,544 3 426,331 6,586 228,990Hawaii 311 Food manuf2011 4,428 3 140,157 2,863 76,131Hawaii 3118 Bakeries an2011 2,083 3 48,637 1,526 33,012Idaho 31-33 Manufactur2011 48,749 2 2,391,846 36,715 1,486,426Idaho 311 Food manuf2011 14,577 2 525,140 11,928 389,922Idaho 3113 Sugar and 2011 g S D D DIdaho 3114 Fruit and v2011 7,465 2 228,990 6,059 170,319Idaho 3115 Dairy prod2011 2,405 1 101,011 2,157 87,871Idaho 3116 Animal sla2011 1,181 1 40,008 983 27,041Idaho 321 Wood prod2011 4,858 7 189,384 4,167 148,714Idaho 3211 Sawmills a 2011 2,283 4 91,803 2,051 77,382Idaho 3219 Other wood2011 2,249 11 86,787 1,856 63,171Idaho 322 Paper manu2011 1,709 1 127,418 1,435 83,704Idaho 3221 Pulp, paper2011 g S D D DIdaho 323 Printing an2011 1,093 12 40,630 754 23,030Idaho 3231 Printing an2011 1,093 12 40,630 754 23,030Idaho 325 Chemical m2011 1,941 1 114,240 1,458 79,048Idaho 326 Plastics a 2011 1,554 4 52,384 1,275 35,860Idaho 3261 Plastics p 2011 1,518 4 50,880 1,245 34,787Idaho 327 Nonmetalli2011 1,092 5 46,617 831 33,578Idaho 332 Fabricated2011 4,644 6 195,359 3,558 130,146Idaho 3327 Machine sh2011 1,231 22 50,560 932 35,403Idaho 3329 Other fabr 2011 1,840 1 75,188 1,470 52,067Idaho 333 Machinery 2011 2,799 13 133,005 1,966 76,687Idaho 3331 Agricultur 2011 1,151 32 47,673 803 27,930Idaho 334 Computer a2011 7,990 5 703,115 4,631 325,942Idaho 3344 Semiconduc2011 7,322 6 D 4,290 DIdaho 336 Transporta2011 g S 82,395 D 47,713Idaho 337 Furniture 2011 1,267 (s) 63 (s) 42,048 (s) 1,000 (s) 30,930 (s)Idaho 339 Miscellane2011 1,245 12 55,642 949 35,994Illinois 31-33 Manufactur2011 534,894 1 28,927,188 365,303 15,589,447Illinois 311 Food manuf2011 70,328 2 3,010,751 53,905 1,973,194Illinois 3111 Animal foo2011 1,359 1 67,458 D 27,857Illinois 3112 Grain and o2011 5,899 1 349,521 4,307 231,991Illinois 3113 Sugar and 2011 7,233 1 344,206 5,853 240,213Illinois 3114 Fruit and v2011 5,430 5 215,778 4,043 132,348Illinois 3115 Dairy prod2011 3,102 3 166,222 2,328 115,483Illinois 3116 Animal sla2011 17,961 4 660,490 15,427 485,377

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Illinois 3118 Bakeries an2011 17,500 4 666,268 12,624 428,406Illinois 3119 Other food2011 11,472 4 525,970 8,294 302,348Illinois 312 Beverage a2011 3,769 1 178,476 2,142 101,231Illinois 3121 Beverage m2011 h S D D DIllinois 314 Textile pro2011 3,150 5 91,597 2,500 57,694Illinois 3141 Textile furn2011 1,139 5 30,677 883 19,452Illinois 3149 Other texti2011 2,012 8 60,920 1,617 38,241Illinois 315 Apparel ma2011 1,534 22 47,276 1,093 25,369Illinois 3152 Cut and se2011 1,201 27 37,374 848 19,054Illinois 321 Wood prod2011 6,269 8 214,826 5,028 146,058Illinois 3219 Other wood2011 4,983 9 158,923 4,091 115,086Illinois 322 Paper manu2011 14,747 7 714,495 11,473 465,702Illinois 3222 Converted 2011 14,271 7 680,924 11,158 444,903Illinois 323 Printing an2011 30,501 4 1,494,353 21,358 873,880Illinois 3231 Printing an2011 30,501 4 1,494,353 21,358 873,880Illinois 324 Petroleum 2011 4,743 1 425,561 2,965 233,211Illinois 3241 Petroleum 2011 4,743 1 425,561 2,965 233,211Illinois 325 Chemical m2011 47,712 1 4,169,209 22,820 1,328,449Illinois 3251 Basic chem2011 6,174 1 434,605 3,697 236,385Illinois 3252 Resin, synt2011 3,465 1 248,339 2,442 139,318Illinois 3254 Pharmaceut2011 21,015 1 2,314,174 6,082 460,703Illinois 3255 Paint, coa 2011 4,807 4 273,205 3,119 140,003Illinois 3256 Soap, clea 2011 7,472 3 627,751 4,409 218,494Illinois 3259 Other chem2011 4,028 7 217,927 2,676 114,609Illinois 326 Plastics a 2011 42,067 2 1,918,228 31,683 1,191,255Illinois 3261 Plastics p 2011 35,761 2 1,572,472 27,045 976,691Illinois 3262 Rubber pro2011 6,306 5 345,756 4,638 214,564Illinois 327 Nonmetalli2011 12,105 4 644,028 9,472 427,167Illinois 3272 Glass and 2011 1,958 4 110,514 1,557 79,899Illinois 3273 Cement and2011 5,748 7 272,794 4,586 199,770Illinois 3279 Other nonm2011 3,420 8 215,275 2,571 115,189Illinois 331 Primary me2011 21,952 5 1,271,808 16,938 847,045Illinois 3311 Iron and st2011 5,711 1 380,155 4,763 288,154Illinois 3312 Steel prod 2011 3,579 28 196,940 2,665 135,989Illinois 3313 Alumina an2011 1,833 3 85,083 1,446 52,658Illinois 3314 Nonferrous2011 4,335 7 286,881 2,747 137,025Illinois 3315 Foundries 2011 6,494 3 322,750 5,317 233,218Illinois 332 Fabricated2011 83,324 2 4,303,910 61,926 2,632,558Illinois 3321 Forging an2011 8,865 8 496,232 6,319 284,728Illinois 3322 Cutlery an 2011 2,547 20 107,705 2,173 75,758Illinois 3323 Architectur2011 12,337 3 601,999 8,570 345,482Illinois 3324 Boiler, tan 2011 4,748 1 252,354 3,657 171,659Illinois 3325 Hardware m2011 1,214 30 61,978 816 27,077Illinois 3326 Spring and2011 3,438 11 184,671 2,460 102,226Illinois 3327 Machine sh2011 25,389 4 1,315,426 19,486 859,714Illinois 3328 Coating, en2011 7,307 8 328,813 5,573 202,617Illinois 3329 Other fabr 2011 17,480 2 954,732 12,872 563,297Illinois 333 Machinery 2011 76,384 2 3,921,412 46,906 2,083,424

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Illinois 3331 Agricultur 2011 20,875 2 995,385 13,506 605,592Illinois 3332 Industrial 2011 6,495 2 385,127 3,909 179,652Illinois 3333 Commercial2011 5,525 5 295,178 3,129 121,170Illinois 3334 Ventilation2011 5,227 16 223,396 3,883 123,436Illinois 3335 Metalworki2011 11,171 3 625,660 7,889 369,399Illinois 3336 Engine, tu 2011 11,046 2 471,528 5,100 250,627Illinois 3339 Other gene2011 16,044 4 925,138 9,489 433,547Illinois 334 Computer a2011 25,389 4 1,618,951 12,952 523,635Illinois 3341 Computer a2011 2,571 1 211,247 670 26,889Illinois 3342 Communica2011 4,134 2 262,335 2,169 97,629Illinois 3344 Semiconduc2011 8,204 9 322,344 5,590 174,696Illinois 3345 Navigation2011 9,932 7 797,549 4,249 215,609Illinois 335 Electrical 2011 16,958 4 975,101 11,305 471,800Illinois 3351 Electric li 2011 3,557 7 167,105 2,319 84,308Illinois 3352 Household 2011 2,025 1 113,534 1,632 69,168Illinois 3353 Electrical 2011 6,442 8 410,669 4,187 184,772Illinois 3359 Other elec 2011 4,934 7 283,792 3,167 133,552Illinois 336 Transporta2011 36,295 3 2,165,234 27,129 1,395,338Illinois 3361 Motor vehi2011 6,724 1 499,930 6,201 438,800Illinois 3362 Motor vehi2011 2,532 3 116,009 1,882 70,433Illinois 3363 Motor vehi2011 17,785 7 880,868 13,467 574,237Illinois 3364 Aerospace 2011 4,871 2 391,373 2,671 171,308Illinois 3365 Railroad ro2011 2,758 3 196,927 1,708 86,461Illinois 3369 Other tran2011 1,181 2 63,368 847 42,785Illinois 337 Furniture 2011 10,655 7 420,292 8,104 260,840Illinois 3371 Household a2011 4,989 15 178,405 3,828 121,328Illinois 3372 Office furn2011 4,799 3 209,536 3,573 118,389Illinois 339 Miscellane2011 25,492 4 1,272,330 14,480 514,265Illinois 3391 Medical eq2011 8,537 6 414,278 5,644 195,928Illinois 3399 Other misc2011 16,955 5 858,053 8,836 318,337Indiana 31-33 Manufactur2011 427,276 1 21,440,737 319,934 14,002,164Indiana 311 Food manuf2011 31,080 1 1,307,639 23,439 887,434Indiana 3111 Animal foo2011 1,376 6 63,935 943 41,007Indiana 3112 Grain and o2011 2,693 1 170,193 2,016 122,056Indiana 3113 Sugar and 2011 1,361 1 52,490 1,069 34,770Indiana 3114 Fruit and v2011 2,920 4 134,405 2,224 81,872Indiana 3115 Dairy prod2011 2,640 5 143,164 1,882 104,031Indiana 3116 Animal sla2011 8,586 1 272,266 7,608 217,539Indiana 3118 Bakeries an2011 7,380 5 280,665 4,607 168,352Indiana 3119 Other food2011 4,123 1 190,520 3,089 117,805Indiana 312 Beverage a2011 2,153 2 100,765 1,406 63,324Indiana 3121 Beverage m2011 g S D D DIndiana 314 Textile pro2011 1,745 13 55,008 1,382 35,403Indiana 316 Leather an2011 1,020 1 40,876 D DIndiana 3169 Other leat 2011 g S D D DIndiana 321 Wood prod2011 12,643 7 450,681 10,518 324,353Indiana 3211 Sawmills a 2011 1,542 4 56,404 1,313 43,795Indiana 3212 Veneer, pl 2011 3,135 4 121,633 2,423 79,710

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Indiana 3219 Other wood2011 7,967 11 272,644 6,782 200,848Indiana 322 Paper manu2011 9,934 2 468,996 7,810 316,331Indiana 3222 Converted 2011 9,409 2 437,809 7,398 293,260Indiana 323 Printing an2011 14,605 4 569,021 10,833 380,370Indiana 3231 Printing an2011 14,605 4 569,021 10,833 380,370Indiana 324 Petroleum 2011 3,589 1 319,004 2,571 188,767Indiana 3241 Petroleum 2011 3,589 1 319,004 2,571 188,767Indiana 325 Chemical m2011 18,845 1 1,275,194 11,019 622,508Indiana 3251 Basic chem2011 2,412 1 153,264 1,581 93,573Indiana 3252 Resin, synt2011 2,763 1 202,528 1,933 124,372Indiana 3254 Pharmaceut2011 8,048 1 630,336 3,909 255,678Indiana 3255 Paint, coa 2011 1,171 12 67,291 763 36,262Indiana 3256 Soap, clea 2011 1,337 10 74,661 943 41,184Indiana 3259 Other chem2011 2,911 1 139,002 1,732 67,129Indiana 326 Plastics a 2011 35,087 2 1,411,254 27,782 947,356Indiana 3261 Plastics p 2011 28,392 2 1,121,774 22,363 741,184Indiana 3262 Rubber pro2011 6,695 2 289,481 5,419 206,172Indiana 327 Nonmetalli2011 12,415 4 574,879 9,682 412,319Indiana 3272 Glass and 2011 3,708 6 177,644 3,096 136,738Indiana 3273 Cement and2011 5,317 7 227,777 4,021 155,304Indiana 3279 Other nonm2011 2,250 10 107,880 1,676 76,988Indiana 331 Primary me2011 41,013 1 2,717,163 32,947 2,074,938Indiana 3311 Iron and st2011 20,556 1 1,650,162 16,190 1,292,583Indiana 3312 Steel prod 2011 2,523 1 129,071 2,071 91,908Indiana 3313 Alumina an2011 5,333 2 313,868 4,166 220,492Indiana 3314 Nonferrous2011 2,880 4 156,786 2,352 113,383Indiana 3315 Foundries 2011 9,720 2 467,277 8,169 356,572Indiana 332 Fabricated2011 48,792 3 2,207,141 37,224 1,479,388Indiana 3321 Forging an2011 5,083 5 232,810 3,959 155,617Indiana 3323 Architectur2011 8,627 6 365,795 6,351 235,574Indiana 3324 Boiler, tan 2011 2,135 5 106,614 1,675 76,300Indiana 3325 Hardware m2011 1,555 38 79,995 1,055 (s) 39,977Indiana 3326 Spring and2011 3,495 12 129,418 2,575 80,880Indiana 3327 Machine sh2011 11,643 5 534,283 9,163 378,463Indiana 3328 Coating, en2011 6,495 7 314,167 5,067 228,216Indiana 3329 Other fabr 2011 8,980 2 413,073 6,825 264,336Indiana 333 Machinery 2011 33,140 3 1,683,002 23,347 983,215Indiana 3331 Agricultur 2011 3,525 2 168,150 2,328 91,791Indiana 3332 Industrial 2011 2,250 10 127,263 1,342 64,895Indiana 3333 Commercial2011 1,646 11 83,345 1,144 47,497Indiana 3334 Ventilation2011 5,385 2 250,210 4,032 149,908Indiana 3335 Metalworki2011 5,039 7 261,490 3,859 174,719Indiana 3336 Engine, tu 2011 7,012 13 395,037 5,149 245,152Indiana 3339 Other gene2011 8,284 3 397,507 5,493 209,252Indiana 334 Computer a2011 14,045 6 780,978 7,950 326,628Indiana 3342 Communica2011 2,158 1 105,431 858 38,898Indiana 3344 Semiconduc2011 3,361 16 170,945 2,092 77,913Indiana 3345 Navigation2011 6,251 12 413,268 3,410 150,240

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Indiana 3346 Manufactur2011 1,632 1 71,548 1,229 50,400Indiana 335 Electrical 2011 6,822 5 316,809 4,997 195,107Indiana 3351 Electric li 2011 1,170 2 44,104 860 26,894Indiana 3353 Electrical 2011 2,414 12 130,894 1,705 78,144Indiana 3359 Other elec 2011 2,537 8 109,850 1,786 65,317Indiana 336 Transporta2011 96,636 2 5,328,448 74,466 3,683,768Indiana 3361 Motor vehi2011 13,062 1 865,973 11,201 723,234Indiana 3362 Motor vehi2011 27,022 2 1,190,565 21,759 838,818Indiana 3363 Motor vehi2011 44,138 4 2,436,714 33,626 1,676,810Indiana 3364 Aerospace 2011 7,124 1 561,355 3,596 235,946Indiana 3366 Ship and bo2011 2,982 2 132,652 2,518 107,008Indiana 3369 Other tran2011 1,920 4 121,208 1,454 87,893Indiana 337 Furniture 2011 17,681 6 614,066 14,311 419,510Indiana 3371 Household a2011 10,039 9 350,318 8,195 242,769Indiana 3372 Office furn2011 6,056 4 216,931 4,946 146,514Indiana 3379 Other furn2011 1,586 12 46,817 1,170 30,226Indiana 339 Miscellane2011 25,001 4 1,185,427 16,799 622,275Indiana 3391 Medical eq2011 15,540 4 790,808 10,086 391,079Indiana 3399 Other misc2011 9,461 7 394,620 6,713 231,196Iowa 31-33 Manufactur2011 191,574 1 9,483,597 139,642 5,695,605Iowa 311 Food manuf2011 47,688 2 1,996,439 38,892 1,465,201Iowa 3111 Animal foo2011 2,452 5 145,655 1,777 92,355Iowa 3112 Grain and o2011 6,137 10 397,982 4,271 249,883Iowa 3114 Fruit and v2011 2,347 1 92,266 2,142 77,023Iowa 3115 Dairy prod2011 3,361 3 162,531 2,575 115,376Iowa 3116 Animal sla2011 26,930 2 957,240 23,206 760,138Iowa 3118 Bakeries an2011 1,835 5 62,539 1,449 50,596Iowa 3119 Other food2011 4,030 6 158,853 2,986 105,490Iowa 315 Apparel ma2011 1,352 9 30,175 1,137 21,224Iowa 321 Wood prod2011 8,135 3 379,056 6,090 217,571Iowa 3219 Other wood2011 7,223 2 343,853 5,453 198,107Iowa 322 Paper manu2011 3,298 9 165,192 2,692 110,941Iowa 3222 Converted 2011 h S D D DIowa 323 Printing an2011 6,404 9 247,177 5,206 168,684Iowa 3231 Printing an2011 6,404 9 247,177 5,206 168,684Iowa 325 Chemical m2011 9,236 2 554,178 5,778 306,537Iowa 3251 Basic chem2011 3,285 1 190,814 2,144 102,492Iowa 3253 Pesticide, 2011 1,104 1 66,828 697 49,421Iowa 3254 Pharmaceut2011 1,995 9 128,155 1,007 50,061Iowa 3259 Other chem2011 1,120 9 61,760 556 30,351Iowa 326 Plastics a 2011 12,460 5 542,645 10,002 377,312Iowa 3261 Plastics p 2011 8,601 6 343,141 6,920 234,076Iowa 3262 Rubber pro2011 3,859 6 199,504 3,082 143,237Iowa 327 Nonmetalli2011 4,694 6 201,983 3,814 145,644Iowa 3273 Cement and2011 2,449 12 104,121 1,984 78,085Iowa 331 Primary me2011 7,329 1 421,209 6,101 317,234Iowa 3313 Alumina an2011 2,505 1 D 2,074 DIowa 3315 Foundries 2011 3,184 2 146,691 2,637 101,641

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Iowa 332 Fabricated2011 17,451 3 770,287 12,634 489,538Iowa 3321 Forging an2011 1,153 11 48,523 962 34,659Iowa 3323 Architectur2011 4,957 6 209,883 3,646 133,283Iowa 3327 Machine sh2011 4,156 8 180,871 3,330 122,433Iowa 3329 Other fabr 2011 4,231 8 195,000 2,397 106,543Iowa 333 Machinery 2011 35,006 1 2,026,099 24,048 1,200,028Iowa 3331 Agricultur 2011 20,002 1 1,269,327 13,751 777,187Iowa 3332 Industrial 2011 1,454 1 86,746 824 37,848Iowa 3333 Commercial2011 2,294 1 89,033 1,513 42,108Iowa 3334 Ventilation2011 1,425 19 67,494 D DIowa 3335 Metalworki2011 1,096 24 55,912 D DIowa 3336 Engine, tu 2011 2,339 1 124,555 1,819 76,404Iowa 3339 Other gene2011 6,395 4 333,032 4,189 185,546Iowa 334 Computer a2011 12,493 1 978,915 3,539 164,386Iowa 3345 Navigation2011 11,318 1 916,668 D DIowa 335 Electrical 2011 5,828 1 275,307 4,115 150,690Iowa 3352 Household 2011 h S D D DIowa 3353 Electrical 2011 1,177 1 61,272 731 24,942Iowa 336 Transporta2011 10,000 13 454,348 7,701 275,942Iowa 3362 Motor vehi2011 4,809 9 198,110 3,754 126,737Iowa 3363 Motor vehi2011 3,396 36 157,865 2,720 102,845 (s)Iowa 337 Furniture 2011 4,875 3 194,118 4,035 145,886Iowa 3371 Household a2011 1,968 6 67,828 1,532 47,634Iowa 3372 Office furn2011 2,689 3 117,942 2,333 93,164Iowa 339 Miscellane2011 3,305 14 160,331 2,473 87,811Iowa 3391 Medical eq2011 960 32 42,000 652 18,368Iowa 3399 Other misc2011 2,345 15 118,331 1,821 69,444Kansas 31-33 Manufactur2011 150,009 1 7,599,073 107,034 4,601,323Kansas 311 Food manuf2011 27,596 1 1,014,939 23,034 754,974Kansas 3111 Animal foo2011 1,932 1 90,326 1,421 58,773Kansas 3112 Grain and o2011 1,109 4 53,275 814 33,028Kansas 3113 Sugar and 2011 g S D D DKansas 3114 Fruit and v2011 1,798 1 54,689 1,550 42,671Kansas 3116 Animal sla2011 17,098 1 591,881 15,244 485,070Kansas 3118 Bakeries an2011 2,479 7 98,938 1,601 57,013Kansas 3119 Other food2011 1,864 1 82,017 1,400 47,758Kansas 321 Wood prod2011 1,714 9 57,374 1,292 34,202Kansas 3219 Other wood2011 1,528 10 49,047 1,187 30,460Kansas 322 Paper manu2011 1,568 2 81,418 1,099 49,234Kansas 3222 Converted 2011 g S D D DKansas 323 Printing an2011 7,668 8 285,120 5,492 175,843Kansas 3231 Printing an2011 7,668 8 285,120 5,492 175,843Kansas 324 Petroleum 2011 2,069 3 173,413 1,449 110,796Kansas 3241 Petroleum 2011 2,069 3 173,413 1,449 110,796Kansas 325 Chemical m2011 7,115 2 409,691 4,718 241,599Kansas 3251 Basic chem2011 1,372 7 86,487 1,112 63,041Kansas 3254 Pharmaceut2011 2,657 3 155,854 1,424 76,436Kansas 3259 Other chem2011 1,839 2 85,804 1,206 45,367

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Kansas 326 Plastics a 2011 10,802 4 489,250 9,168 339,993Kansas 3261 Plastics p 2011 7,622 5 338,471 6,454 219,337Kansas 3262 Rubber pro2011 3,180 2 150,779 2,714 120,656Kansas 327 Nonmetalli2011 4,805 6 219,118 3,598 154,264Kansas 3273 Cement and2011 2,676 11 115,238 1,988 78,796Kansas 3279 Other nonm2011 1,031 1 48,348 657 29,389Kansas 331 Primary me2011 1,918 5 95,451 1,449 63,474Kansas 3315 Foundries 2011 1,327 7 65,686 1,040 47,063Kansas 332 Fabricated2011 13,315 6 594,199 9,182 360,804Kansas 3323 Architectur2011 4,782 4 192,899 3,590 123,389Kansas 3324 Boiler, tan 2011 1,516 3 65,914 1,020 40,466Kansas 3327 Machine sh2011 2,842 27 153,914 1,770 (s) 96,028Kansas 3329 Other fabr 2011 1,838 15 85,159 1,327 48,529Kansas 333 Machinery 2011 16,713 2 839,220 11,369 437,202Kansas 3331 Agricultur 2011 6,978 1 345,967 5,162 204,011Kansas 3332 Industrial 2011 1,494 12 94,419 598 26,074Kansas 3334 Ventilation2011 2,288 1 95,874 1,761 55,538Kansas 3339 Other gene2011 3,727 4 172,944 2,428 83,259Kansas 334 Computer a2011 6,641 2 417,479 2,220 98,436Kansas 3345 Navigation2011 4,954 3 317,735 1,266 69,001Kansas 335 Electrical 2011 3,298 3 157,258 2,476 114,297Kansas 3359 Other elec 2011 1,778 3 82,575 1,444 63,529Kansas 336 Transporta2011 36,457 1 2,477,219 24,531 1,501,781Kansas 3361 Motor vehi2011 h S D D DKansas 3362 Motor vehi2011 1,936 6 74,524 1,453 47,133Kansas 3363 Motor vehi2011 g S D D DKansas 3364 Aerospace 2011 28,082 2 2,009,043 17,490 1,125,533Kansas 337 Furniture 2011 2,356 30 81,149 1,724 51,193Kansas 3371 Household a2011 1,538 (s) 45 (s) 47,646 (s) 1,130 (s) 30,678 (s)Kansas 339 Miscellane2011 3,878 8 136,060 2,752 76,499Kansas 3391 Medical eq2011 1,438 11 47,178 1,149 32,819Kansas 3399 Other misc2011 2,440 11 88,881 1,603 43,680Kentucky 31-33 Manufactur2011 200,800 2 9,201,747 154,858 6,287,271Kentucky 311 Food manuf2011 25,544 1 969,468 20,032 660,972Kentucky 3114 Fruit and v2011 3,808 1 147,534 3,170 104,481Kentucky 3115 Dairy prod2011 2,493 1 102,895 1,472 57,829Kentucky 3116 Animal sla2011 9,538 1 291,796 8,345 229,485Kentucky 3118 Bakeries an2011 5,740 4 220,410 4,308 150,977Kentucky 3119 Other food2011 2,377 1 123,562 1,640 71,920Kentucky 312 Beverage a2011 4,659 1 203,483 2,657 112,567Kentucky 3121 Beverage m2011 3,887 1 171,178 2,060 92,428Kentucky 313 Textile mill2011 983 1 36,565 845 26,638Kentucky 315 Apparel ma2011 1,163 6 24,046 1,273 24,243Kentucky 3152 Cut and se2011 f S D D DKentucky 321 Wood prod2011 9,542 3 276,881 8,256 215,556Kentucky 3211 Sawmills a 2011 2,127 3 71,614 1,895 57,753Kentucky 3219 Other wood2011 6,803 3 187,018 5,810 143,149Kentucky 322 Paper manu2011 8,995 4 461,975 6,921 301,215

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Kentucky 3221 Pulp, paper2011 1,592 1 118,767 1,218 84,487Kentucky 3222 Converted 2011 7,403 4 343,208 5,703 216,728Kentucky 323 Printing an2011 8,468 21 363,469 7,677 298,259Kentucky 3231 Printing an2011 8,468 21 363,469 7,677 298,259Kentucky 324 Petroleum 2011 1,123 1 100,124 654 52,492Kentucky 3241 Petroleum 2011 1,123 1 100,124 654 52,492Kentucky 325 Chemical m2011 12,338 2 815,934 8,338 506,282Kentucky 3251 Basic chem2011 4,351 4 338,291 2,730 205,041Kentucky 3252 Resin, synt2011 3,010 1 195,799 1,933 116,240Kentucky 3255 Paint, coa 2011 1,665 4 90,920 1,167 53,713Kentucky 3256 Soap, clea 2011 1,342 1 90,322 1,142 74,372Kentucky 3259 Other chem2011 1,333 1 70,101 921 40,985Kentucky 326 Plastics a 2011 18,194 14 632,024 13,580 408,722Kentucky 3261 Plastics p 2011 16,489 15 561,623 12,220 362,060Kentucky 3262 Rubber pro2011 1,705 2 70,401 1,359 46,661Kentucky 327 Nonmetalli2011 6,822 4 303,673 5,218 210,621Kentucky 3272 Glass and 2011 2,050 1 110,283 1,579 74,914Kentucky 3273 Cement and2011 2,209 10 82,266 1,607 52,678Kentucky 3279 Other nonm2011 1,121 7 39,298 805 22,723Kentucky 331 Primary me2011 11,403 1 669,146 9,282 497,731Kentucky 3311 Iron and st2011 3,602 1 241,237 3,020 191,703Kentucky 3313 Alumina an2011 4,339 1 266,942 3,382 187,106Kentucky 3315 Foundries 2011 1,891 1 78,816 1,581 61,171Kentucky 332 Fabricated2011 20,082 3 865,702 15,177 562,938Kentucky 3321 Forging an2011 2,206 8 104,590 1,680 71,812Kentucky 3323 Architectur2011 4,724 4 195,231 3,601 131,028Kentucky 3324 Boiler, tan 2011 1,303 5 65,635 779 27,755Kentucky 3326 Spring and2011 3,116 3 126,144 2,550 86,724Kentucky 3327 Machine sh2011 3,926 12 171,657 2,914 121,362Kentucky 3328 Coating, en2011 1,164 19 38,384 940 27,699Kentucky 3329 Other fabr 2011 2,908 8 127,337 2,185 77,180Kentucky 333 Machinery 2011 15,084 1 706,094 10,525 398,128Kentucky 3331 Agricultur 2011 2,149 1 97,506 1,472 51,695Kentucky 3334 Ventilation2011 2,621 6 119,967 1,908 74,159Kentucky 3335 Metalworki2011 1,943 3 89,916 1,329 48,915Kentucky 3336 Engine, tu 2011 1,672 1 50,890 1,335 34,302Kentucky 3339 Other gene2011 5,440 2 289,343 3,697 161,315Kentucky 334 Computer a2011 2,648 1 126,500 1,437 49,714Kentucky 335 Electrical 2011 5,065 6 258,504 4,111 187,513Kentucky 3351 Electric li 2011 1,061 1 63,768 829 48,175Kentucky 3352 Household 2011 g S D D DKentucky 3359 Other elec 2011 1,625 1 73,840 1,295 60,271Kentucky 336 Transporta2011 39,135 3 2,042,980 31,810 1,568,628Kentucky 3361 Motor vehi2011 13,730 1 879,631 12,982 805,691Kentucky 3362 Motor vehi2011 1,153 13 47,878 865 30,425Kentucky 3363 Motor vehi2011 21,267 5 945,630 15,443 601,079Kentucky 3364 Aerospace 2011 1,454 1 101,182 1,220 81,109Kentucky 337 Furniture 2011 3,429 5 115,587 2,699 79,147

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Kentucky 3371 Household a2011 1,850 9 56,282 1,438 37,327Kentucky 3372 Office furn2011 1,274 4 46,351 1,009 31,708Kentucky 339 Miscellane2011 4,592 4 182,140 3,129 95,419Kentucky 3391 Medical eq2011 1,900 7 76,149 1,351 39,988Kentucky 3399 Other misc2011 2,692 5 105,990 1,777 55,431Louisiana 31-33 Manufactur2011 123,280 1 7,516,919 89,116 4,704,071Louisiana 311 Food manuf2011 14,565 3 557,332 11,014 357,270Louisiana 3113 Sugar and 2011 1,926 3 90,409 1,693 72,717Louisiana 3114 Fruit and v2011 994 21 36,313 853 24,558Louisiana 3115 Dairy prod2011 1,181 1 43,513 662 22,787Louisiana 3116 Animal sla2011 4,132 8 108,568 3,406 80,101Louisiana 3118 Bakeries an2011 2,097 7 91,844 1,064 33,440Louisiana 3119 Other food2011 2,280 2 103,221 1,714 59,925Louisiana 321 Wood prod2011 5,759 6 232,641 5,064 181,998Louisiana 3211 Sawmills a 2011 1,998 14 75,588 1,657 54,888Louisiana 3212 Veneer, pl 2011 2,839 7 121,655 2,499 101,345Louisiana 322 Paper manu2011 6,714 1 445,946 5,336 330,458Louisiana 3221 Pulp, paper2011 4,070 1 317,694 3,275 242,453Louisiana 3222 Converted 2011 2,644 3 128,252 2,061 88,005Louisiana 323 Printing an2011 3,096 11 110,492 2,166 66,582Louisiana 3231 Printing an2011 3,096 11 110,492 2,166 66,582Louisiana 324 Petroleum 2011 9,443 1 989,765 5,604 536,921Louisiana 3241 Petroleum 2011 9,443 1 989,765 5,604 536,921Louisiana 325 Chemical m2011 19,056 7 1,772,759 12,976 1,093,641Louisiana 3251 Basic chem2011 13,199 1 1,244,953 8,088 713,596Louisiana 3252 Resin, synt2011 2,351 1 207,408 1,733 142,406Louisiana 3253 Pesticide, 2011 1,993 1 172,595 1,485 122,223Louisiana 3256 Soap, clea 2011 1,182 8 100,777 818 60,459Louisiana 326 Plastics a 2011 4,152 1 181,369 3,285 109,140Louisiana 3261 Plastics p 2011 2,881 2 116,782 2,432 84,024Louisiana 3262 Rubber pro2011 1,271 1 64,587 852 25,116Louisiana 327 Nonmetalli2011 4,490 8 206,890 3,493 143,998Louisiana 3272 Glass and 2011 1,268 1 67,870 1,039 54,353Louisiana 3273 Cement and2011 2,620 14 113,322 2,030 73,298Louisiana 331 Primary me2011 2,460 1 147,741 1,954 109,835Louisiana 332 Fabricated2011 18,569 4 1,034,870 14,384 696,850Louisiana 3323 Architectur2011 6,416 6 358,388 5,006 250,461Louisiana 3324 Boiler, tan 2011 1,589 8 87,242 1,312 62,693Louisiana 3327 Machine sh2011 4,521 13 269,841 3,658 189,844Louisiana 3329 Other fabr 2011 4,903 2 264,112 3,506 159,797Louisiana 333 Machinery 2011 8,060 3 456,786 5,539 283,305Louisiana 3331 Agricultur 2011 4,282 2 261,880 2,937 173,035Louisiana 3333 Commercial2011 1,157 1 56,741 799 32,952Louisiana 3339 Other gene2011 1,096 21 55,505 752 31,882Louisiana 334 Computer a2011 978 8 56,308 547 25,432Louisiana 335 Electrical 2011 1,322 1 70,014 982 44,271Louisiana 336 Transporta2011 18,142 1 1,005,781 12,875 596,905Louisiana 3361 Motor vehi2011 f S D D D

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Louisiana 3363 Motor vehi2011 1,099 1 35,236 854 DLouisiana 3364 Aerospace 2011 h S D D DLouisiana 3366 Ship and bo2011 11,054 2 602,002 8,413 403,811Louisiana 337 Furniture 2011 973 22 28,805 737 19,113Louisiana 339 Miscellane2011 3,410 6 124,663 2,121 62,405Louisiana 3399 Other misc2011 2,825 7 101,947 1,706 48,351Maine 31-33 Manufactur2011 47,549 2 2,311,654 33,336 1,441,141Maine 311 Food manuf2011 5,730 2 237,787 3,221 104,691Maine 3114 Fruit and v2011 1,899 1 67,433 1,408 42,462Maine 3118 Bakeries an2011 2,262 6 102,312 811 26,820Maine 312 Beverage a2011 1,024 1 59,102 716 43,682Maine 3121 Beverage m2011 1,024 1 59,102 716 43,682Maine 316 Leather an2011 1,527 1 49,566 1,324 37,494Maine 3162 Footwear m2011 1,295 1 41,091 1,146 32,766Maine 321 Wood prod2011 3,382 11 130,127 2,700 93,786Maine 3211 Sawmills a 2011 1,210 25 51,854 1,031 41,405Maine 3219 Other wood2011 1,703 12 59,268 1,309 39,867Maine 322 Paper manu2011 6,798 1 432,225 5,512 325,321Maine 3221 Pulp, paper2011 5,552 1 373,335 4,480 280,098Maine 3222 Converted 2011 1,246 1 58,890 1,032 45,223Maine 323 Printing an2011 1,587 10 61,798 1,103 38,587Maine 3231 Printing an2011 1,587 10 61,798 1,103 38,587Maine 325 Chemical m2011 1,442 1 79,317 746 31,621Maine 326 Plastics a 2011 2,288 6 88,828 1,692 54,304Maine 3261 Plastics p 2011 2,131 6 83,083 1,612 51,519Maine 327 Nonmetalli2011 1,039 11 42,620 743 24,252Maine 332 Fabricated2011 4,719 4 234,367 3,358 149,900Maine 3323 Architectur2011 1,139 16 48,734 749 27,529Maine 3327 Machine sh2011 1,963 3 115,088 1,503 78,914Maine 333 Machinery 2011 2,027 6 106,695 1,408 61,919Maine 334 Computer a2011 3,537 1 172,868 2,196 88,611Maine 3342 Communica2011 1,110 1 40,074 470 9,678Maine 3344 Semiconduc2011 1,415 1 74,640 1,097 51,564Maine 3345 Navigation2011 956 1 54,967 592 26,167Maine 336 Transporta2011 8,057 5 431,100 5,543 279,901Maine 3364 Aerospace 2011 g S D D DMaine 3366 Ship and bo2011 6,160 7 349,417 4,101 DMaine 339 Miscellane2011 2,119 10 80,003 1,520 46,602Maine 3391 Medical eq2011 1,143 4 39,147 925 27,564Maine 3399 Other misc2011 976 22 40,856 595 19,039Maryland 31-33 Manufactur2011 103,473 3 5,978,114 65,116 2,763,061Maryland 311 Food manuf2011 14,040 2 563,662 10,614 354,965Maryland 3115 Dairy prod2011 2,036 1 108,360 1,559 81,876Maryland 3116 Animal sla2011 3,593 2 91,861 3,204 76,444Maryland 3118 Bakeries an2011 3,195 8 110,972 2,022 59,837Maryland 3119 Other food2011 2,509 3 137,107 1,902 71,415Maryland 312 Beverage a2011 1,399 1 74,707 925 45,263Maryland 3121 Beverage m2011 1,399 1 74,707 925 45,263

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Maryland 321 Wood prod2011 1,766 21 64,614 1,391 45,478Maryland 322 Paper manu2011 3,042 5 138,863 2,502 101,472Maryland 3221 Pulp, paper2011 1,019 1 61,465 798 45,030Maryland 3222 Converted 2011 2,023 8 77,398 1,704 56,442Maryland 323 Printing an2011 12,281 15 536,413 9,122 332,859Maryland 3231 Printing an2011 12,281 15 536,413 9,122 332,859Maryland 324 Petroleum 2011 971 (s) 47 (s) 60,712 812 (s) 48,223 (s)Maryland 3241 Petroleum 2011 971 (s) 47 (s) 60,712 812 (s) 48,223 (s)Maryland 325 Chemical m2011 9,222 2 604,787 5,653 312,538Maryland 3251 Basic chem2011 1,306 2 104,171 858 62,687Maryland 3254 Pharmaceut2011 4,258 1 284,289 2,027 96,672Maryland 3255 Paint, coa 2011 1,242 1 68,527 978 47,735Maryland 3256 Soap, clea 2011 1,445 10 97,135 1,078 72,117Maryland 326 Plastics a 2011 4,346 40 256,490 3,831 145,978Maryland 3261 Plastics p 2011 3,816 (s) 45 (s) 235,126 3,536 138,215Maryland 327 Nonmetalli2011 3,944 6 192,429 2,894 132,704Maryland 3273 Cement and2011 2,456 8 122,894 1,799 84,030Maryland 331 Primary me2011 2,500 1 128,247 2,415 120,826Maryland 3311 Iron and st2011 g S D D DMaryland 332 Fabricated2011 8,023 6 408,427 5,437 241,516Maryland 3323 Architectur2011 2,412 15 128,772 1,585 67,119Maryland 3327 Machine sh2011 2,136 14 111,219 1,533 74,144Maryland 3329 Other fabr 2011 1,018 1 48,236 593 25,848Maryland 333 Machinery 2011 6,462 4 406,297 3,625 177,131Maryland 3334 Ventilation2011 1,925 1 106,027 1,112 42,428Maryland 3336 Engine, tu 2011 g S D D DMaryland 3339 Other gene2011 1,550 11 97,229 833 34,959Maryland 334 Computer a2011 18,420 6 1,656,999 5,554 312,336Maryland 3342 Communica2011 3,345 17 311,105 1,173 57,756Maryland 3344 Semiconduc2011 2,251 3 129,541 1,452 59,676Maryland 3345 Navigation2011 11,895 7 1,148,730 2,509 177,133Maryland 335 Electrical 2011 1,974 2 112,891 1,133 42,525Maryland 336 Transporta2011 5,233 6 335,114 3,017 132,560Maryland 3364 Aerospace 2011 3,728 1 252,831 2,044 90,318Maryland 337 Furniture 2011 3,861 7 166,437 2,538 87,019Maryland 3371 Household a2011 1,231 20 51,350 845 30,407Maryland 3372 Office furn2011 1,298 7 61,810 795 27,679Maryland 3379 Other furn2011 1,332 1 53,276 899 28,933Maryland 339 Miscellane2011 3,591 18 176,386 2,048 89,414Maryland 3391 Medical eq2011 1,046 (s) 58 (s) 60,330 (s) 895 47,616Maryland 3399 Other misc2011 2,546 10 116,055 1,153 41,798Massachuse31-33 Manufactur2011 221,144 2 13,599,753 135,745 6,169,830Massachuse311 Food manuf2011 18,895 3 802,351 13,007 449,013Massachuse3113 Sugar and 2011 1,444 20 48,792 776 25,455Massachuse3114 Fruit and v2011 1,042 1 46,006 811 31,567Massachuse3115 Dairy prod2011 2,562 1 134,919 1,536 69,550Massachuse3116 Animal sla2011 2,540 15 93,740 1,933 60,796Massachuse3117 Seafood pr2011 1,804 7 84,360 1,339 45,625

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Massachuse3118 Bakeries an2011 5,850 6 222,153 4,275 136,922Massachuse3119 Other food2011 3,296 3 153,363 2,108 67,856Massachuse312 Beverage a2011 2,391 15 141,104 975 55,438Massachuse3121 Beverage m2011 2,391 15 141,104 975 55,438Massachuse313 Textile mill2011 2,952 6 143,771 1,956 72,318Massachuse3133 Textile and2011 2,251 4 114,930 1,428 54,360Massachuse314 Textile pro2011 1,114 (s) 83 (s) 41,111 (s) 852 (s) 25,864 (s)Massachuse315 Apparel ma2011 1,332 (s) 63 (s) 54,502 961 (s) 31,393Massachuse3152 Cut and se2011 1,087 (s) 77 (s) 46,270 810 (s) 28,042Massachuse316 Leather an2011 1,213 1 41,618 939 24,656Massachuse321 Wood prod2011 2,516 9 102,221 1,728 56,604Massachuse3219 Other wood2011 2,061 11 86,059 1,412 45,902Massachuse322 Paper manu2011 7,556 9 426,660 5,681 269,340Massachuse3221 Pulp, paper2011 1,747 1 110,271 1,362 74,259Massachuse3222 Converted 2011 5,809 12 316,389 4,319 195,081Massachuse323 Printing an2011 11,097 7 504,996 7,496 305,108Massachuse3231 Printing an2011 11,097 7 504,996 7,496 305,108Massachuse325 Chemical m2011 14,110 2 1,033,090 7,873 401,647Massachuse3251 Basic chem2011 980 14 80,142 467 28,172Massachuse3252 Resin, synt2011 1,759 1 107,185 1,141 48,671Massachuse3254 Pharmaceut2011 7,116 3 577,920 3,718 202,727Massachuse3255 Paint, coa 2011 1,091 14 75,709 625 38,613Massachuse3259 Other chem2011 2,336 4 146,686 1,378 64,609Massachuse326 Plastics a 2011 13,581 3 675,619 9,849 359,325Massachuse3261 Plastics p 2011 12,548 3 622,034 9,171 337,639Massachuse3262 Rubber pro2011 1,033 3 53,586 678 21,686Massachuse327 Nonmetalli2011 4,585 8 239,757 3,310 149,948Massachuse3272 Glass and 2011 1,028 1 46,672 788 31,127Massachuse3273 Cement and2011 1,492 12 67,944 1,105 46,359Massachuse3279 Other nonm2011 1,451 15 89,906 1,011 53,900Massachuse331 Primary me2011 2,978 2 157,697 2,167 99,911Massachuse3314 Nonferrous2011 1,245 4 66,965 868 41,731Massachuse332 Fabricated2011 29,407 3 1,638,091 20,692 961,342Massachuse3321 Forging an2011 2,466 2 138,923 1,574 71,108Massachuse3322 Cutlery an 2011 3,060 3 186,517 2,277 123,282Massachuse3323 Architectur2011 4,591 4 245,988 3,261 133,866Massachuse3327 Machine sh2011 9,040 6 483,765 6,757 320,597Massachuse3328 Coating, en2011 3,670 11 166,085 2,791 109,114Massachuse3329 Other fabr 2011 5,002 6 335,706 2,851 153,157Massachuse333 Machinery 2011 17,041 3 1,185,583 9,089 440,165Massachuse3332 Industrial 2011 5,657 4 473,671 2,310 129,350Massachuse3333 Commercial2011 2,994 4 184,688 1,863 89,025Massachuse3334 Ventilation2011 1,167 10 60,880 683 24,887Massachuse3335 Metalworki2011 2,873 7 174,833 1,761 82,575Massachuse3336 Engine, tu 2011 1,369 3 88,102 895 37,107Massachuse3339 Other gene2011 2,947 12 201,659 1,551 76,235Massachuse334 Computer a2011 47,487 9 3,851,192 21,034 1,157,671Massachuse3341 Computer a2011 2,310 17 205,559 652 (s) 66,099

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Massachuse3342 Communica2011 3,913 11 305,080 1,982 129,495Massachuse3344 Semiconduc2011 11,343 38 755,977 (s) 7,824 385,244Massachuse3345 Navigation2011 29,308 3 2,555,516 10,196 560,669Massachuse335 Electrical 2011 9,480 4 591,105 5,494 242,382Massachuse3351 Electric li 2011 1,271 24 57,308 897 34,404Massachuse3353 Electrical 2011 1,741 3 96,118 1,051 38,990Massachuse3359 Other elec 2011 6,197 2 424,940 3,377 163,371Massachuse336 Transporta2011 5,609 2 420,122 4,396 314,161Massachuse3363 Motor vehi2011 1,655 8 85,133 1,284 54,567Massachuse3364 Aerospace 2011 2,715 1 267,532 2,322 227,227Massachuse337 Furniture 2011 3,417 13 151,466 2,461 84,159Massachuse3371 Household a2011 1,375 28 54,117 1,043 34,269Massachuse3372 Office furn2011 1,601 11 79,385 1,045 37,356Massachuse339 Miscellane2011 23,627 4 1,344,373 15,233 632,551Massachuse3391 Medical eq2011 11,478 6 746,664 7,096 311,574Massachuse3399 Other misc2011 12,150 4 597,709 8,137 320,977Michigan 31-33 Manufactur2011 460,991 1 25,193,080 335,317 15,629,301Michigan 311 Food manuf2011 24,395 6 1,053,403 19,174 733,907Michigan 3112 Grain and o2011 1,632 (s) 47 (s) 115,124 1,067 (s) 87,240Michigan 3113 Sugar and 2011 2,092 1 86,718 1,779 65,822Michigan 3114 Fruit and v2011 4,854 2 186,197 4,326 144,264Michigan 3115 Dairy prod2011 4,056 3 222,573 2,584 127,569Michigan 3116 Animal sla2011 5,027 1 191,834 4,238 148,529Michigan 3118 Bakeries an2011 3,738 33 120,748 3,121 93,543Michigan 3119 Other food2011 2,679 1 114,466 1,870 58,904Michigan 312 Beverage a2011 3,954 22 194,166 2,373 109,780Michigan 3121 Beverage m2011 3,954 22 194,166 2,373 109,780Michigan 314 Textile pro2011 1,960 4 58,621 1,541 36,482Michigan 3149 Other texti2011 1,079 5 32,345 818 19,245Michigan 321 Wood prod2011 8,596 13 320,975 6,688 221,152Michigan 3211 Sawmills a 2011 1,815 8 68,817 1,484 49,625Michigan 3212 Veneer, pl 2011 2,087 12 87,862 1,764 65,003Michigan 3219 Other wood2011 4,694 23 164,295 3,440 106,525Michigan 322 Paper manu2011 10,812 2 566,530 8,454 385,758Michigan 3221 Pulp, paper2011 4,073 1 285,801 3,218 212,419Michigan 3222 Converted 2011 6,739 4 280,729 5,236 173,339Michigan 323 Printing an2011 12,944 5 603,967 8,386 334,846Michigan 3231 Printing an2011 12,944 5 603,967 8,386 334,846Michigan 324 Petroleum 2011 1,544 3 117,916 1,001 63,964Michigan 3241 Petroleum 2011 1,544 3 117,916 1,001 63,964Michigan 325 Chemical m2011 26,738 3 1,864,455 14,808 824,334Michigan 3251 Basic chem2011 5,905 12 483,160 2,795 189,142Michigan 3252 Resin, synt2011 2,829 1 195,970 1,596 87,239Michigan 3254 Pharmaceut2011 8,054 2 545,825 5,010 307,906Michigan 3255 Paint, coa 2011 3,317 12 193,798 1,788 71,542Michigan 3256 Soap, clea 2011 2,645 3 160,975 1,622 69,934Michigan 3259 Other chem2011 3,687 2 266,002 1,805 89,864Michigan 326 Plastics a 2011 37,318 3 1,526,476 28,262 923,108

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Michigan 3261 Plastics p 2011 33,027 3 1,328,776 25,178 817,709Michigan 3262 Rubber pro2011 4,291 7 197,700 3,084 105,399Michigan 327 Nonmetalli2011 10,524 3 549,604 7,676 333,278Michigan 3272 Glass and 2011 4,689 4 252,511 3,156 123,649Michigan 3273 Cement and2011 3,477 6 172,862 2,719 123,298Michigan 3279 Other nonm2011 1,487 11 87,216 1,139 59,436Michigan 331 Primary me2011 21,184 2 1,252,713 16,695 863,548Michigan 3311 Iron and st2011 5,630 1 406,073 4,450 303,484Michigan 3312 Steel prod 2011 1,392 13 82,061 1,083 50,340Michigan 3313 Alumina an2011 2,291 3 115,911 1,718 72,972Michigan 3314 Nonferrous2011 2,203 6 150,278 1,351 65,813Michigan 3315 Foundries 2011 9,667 3 498,390 8,093 370,939Michigan 332 Fabricated2011 64,151 2 3,085,880 47,830 1,916,229Michigan 3321 Forging an2011 5,970 3 293,970 4,230 170,843Michigan 3322 Cutlery an 2011 1,459 17 68,988 939 34,763Michigan 3323 Architectur2011 6,864 7 342,339 5,007 208,277Michigan 3325 Hardware m2011 1,955 6 89,621 1,246 42,983Michigan 3326 Spring and2011 1,821 14 81,241 1,418 47,853Michigan 3327 Machine sh2011 23,612 4 1,168,956 18,133 773,240Michigan 3328 Coating, en2011 10,434 6 466,302 8,007 293,893Michigan 3329 Other fabr 2011 11,436 2 540,488 8,496 325,398Michigan 333 Machinery 2011 60,143 2 3,665,308 39,912 2,004,989Michigan 3331 Agricultur 2011 2,229 5 105,519 1,445 59,506Michigan 3332 Industrial 2011 4,413 3 266,337 2,615 130,492Michigan 3333 Commercial2011 2,019 2 115,173 1,038 39,210Michigan 3334 Ventilation2011 2,568 16 123,967 1,703 70,029Michigan 3335 Metalworki2011 29,041 3 1,754,414 21,629 1,121,186Michigan 3336 Engine, tu 2011 4,983 4 288,276 3,816 198,334Michigan 3339 Other gene2011 14,890 3 1,011,623 7,665 386,232Michigan 334 Computer a2011 15,173 2 935,442 9,541 505,905Michigan 3344 Semiconduc2011 4,994 1 253,795 3,119 118,624Michigan 3345 Navigation2011 8,056 3 589,032 5,207 352,596Michigan 335 Electrical 2011 8,808 3 442,843 5,909 238,786Michigan 3352 Household 2011 1,347 1 65,108 1,134 50,129Michigan 3353 Electrical 2011 2,921 7 153,872 1,865 76,563Michigan 3359 Other elec 2011 4,149 3 207,761 2,684 104,095Michigan 336 Transporta2011 121,104 2 7,283,410 97,556 5,427,757Michigan 3361 Motor vehi2011 28,588 4 2,064,597 26,193 1,800,930Michigan 3362 Motor vehi2011 2,283 4 96,376 1,632 58,949Michigan 3363 Motor vehi2011 82,313 2 4,679,527 64,694 3,330,813Michigan 3364 Aerospace 2011 4,464 1 257,591 2,691 140,303Michigan 3369 Other tran2011 2,482 5 138,913 1,693 73,050Michigan 337 Furniture 2011 17,566 3 968,881 10,486 401,481Michigan 3371 Household a2011 4,227 8 181,142 2,919 99,068Michigan 3372 Office furn2011 12,960 4 771,279 7,288 294,851Michigan 339 Miscellane2011 13,087 4 669,594 8,106 279,232Michigan 3391 Medical eq2011 7,002 5 395,959 4,033 139,488Michigan 3399 Other misc2011 6,085 7 273,635 4,073 139,744

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Minnesota31-33 Manufactur2011 289,230 1 15,269,170 191,725 7,829,669Minnesota311 Food manuf2011 46,359 1 1,864,721 37,050 1,288,135Minnesota3111 Animal foo2011 g S D D DMinnesota3112 Grain and o2011 2,721 1 157,620 2,281 122,724Minnesota3113 Sugar and 2011 2,630 3 126,347 2,265 87,251Minnesota3114 Fruit and v2011 4,565 2 173,770 3,842 127,825Minnesota3115 Dairy prod2011 5,469 1 248,772 4,557 184,175Minnesota3116 Animal sla2011 16,523 1 591,654 14,324 453,627Minnesota3118 Bakeries an2011 5,279 3 186,245 3,569 116,190Minnesota3119 Other food2011 6,954 7 269,552 4,766 142,730Minnesota312 Beverage a2011 1,270 1 67,483 887 39,469Minnesota3121 Beverage m2011 1,270 1 67,483 887 39,469Minnesota314 Textile pro2011 1,279 8 37,209 858 21,659Minnesota316 Leather an2011 1,508 1 66,787 959 36,259Minnesota3162 Footwear m2011 f S D D DMinnesota321 Wood prod2011 10,161 5 445,793 7,647 288,083Minnesota3212 Veneer, pl 2011 1,164 18 52,573 920 35,309Minnesota3219 Other wood2011 8,756 4 372,764 6,690 244,214Minnesota322 Paper manu2011 11,264 2 676,044 8,355 409,331Minnesota3221 Pulp, paper2011 3,547 1 234,067 2,834 178,255Minnesota3222 Converted 2011 7,717 3 441,977 5,521 231,076Minnesota323 Printing an2011 24,307 4 1,127,565 16,870 636,859Minnesota3231 Printing an2011 24,307 4 1,127,565 16,870 636,859Minnesota324 Petroleum 2011 1,741 3 170,263 1,293 117,607Minnesota3241 Petroleum 2011 1,741 3 170,263 1,293 117,607Minnesota325 Chemical m2011 9,111 3 547,440 5,329 217,747Minnesota3251 Basic chem2011 1,222 4 69,583 919 48,027Minnesota3254 Pharmaceut2011 2,713 8 182,909 1,191 51,758Minnesota3255 Paint, coa 2011 1,133 2 59,205 852 27,099Minnesota3256 Soap, clea 2011 1,441 6 83,564 809 28,782Minnesota3259 Other chem2011 1,666 1 101,711 949 36,112Minnesota326 Plastics a 2011 12,362 6 593,420 9,027 341,299Minnesota3261 Plastics p 2011 11,086 7 540,802 8,142 314,577Minnesota3262 Rubber pro2011 1,276 3 52,619 885 26,722Minnesota327 Nonmetalli2011 7,827 4 377,932 5,818 247,409Minnesota3272 Glass and 2011 2,186 2 94,617 1,842 74,251Minnesota3273 Cement and2011 2,964 10 154,608 1,960 95,045Minnesota3279 Other nonm2011 2,525 3 124,161 1,889 74,707Minnesota331 Primary me2011 6,314 3 337,509 5,097 227,151Minnesota3315 Foundries 2011 4,460 5 214,356 3,660 149,562Minnesota332 Fabricated2011 37,928 1 2,034,085 26,935 1,187,159Minnesota3321 Forging an2011 4,501 3 248,926 3,255 161,448Minnesota3322 Cutlery an 2011 1,636 1 103,209 869 35,598Minnesota3323 Architectur2011 6,111 4 291,793 4,175 166,042Minnesota3324 Boiler, tan 2011 1,949 2 106,138 1,432 71,500Minnesota3327 Machine sh2011 11,602 3 604,508 9,089 415,599Minnesota3328 Coating, en2011 3,432 6 143,740 2,596 97,976Minnesota3329 Other fabr 2011 6,952 2 438,445 4,257 192,602Minnesota333 Machinery 2011 32,152 1 1,806,230 19,614 899,876

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Minnesota3331 Agricultur 2011 5,862 1 296,132 4,339 180,078Minnesota3332 Industrial 2011 2,839 5 175,170 1,549 77,273Minnesota3333 Commercial2011 1,909 1 135,246 805 44,492Minnesota3334 Ventilation2011 3,778 1 180,446 2,143 82,845Minnesota3335 Metalworki2011 4,895 6 302,228 3,091 159,716Minnesota3336 Engine, tu 2011 1,497 2 70,650 1,086 40,711Minnesota3339 Other gene2011 11,373 2 646,360 6,600 314,761Minnesota334 Computer a2011 38,003 2 2,590,663 16,245 708,604Minnesota3341 Computer a2011 8,837 1 700,229 2,255 102,290Minnesota3342 Communica2011 968 5 58,115 449 18,850Minnesota3344 Semiconduc2011 9,097 6 491,205 5,757 236,378Minnesota3345 Navigation2011 18,125 3 1,301,455 7,152 334,190Minnesota335 Electrical 2011 9,208 3 490,712 5,710 273,504Minnesota3352 Household 2011 g S D D DMinnesota3353 Electrical 2011 4,983 4 286,544 2,641 145,711Minnesota3359 Other elec 2011 2,257 4 126,162 1,461 71,968Minnesota336 Transporta2011 10,866 2 487,350 8,149 320,955Minnesota3361 Motor vehi2011 1,929 1 88,275 1,604 67,736Minnesota3362 Motor vehi2011 2,659 2 124,484 1,903 82,097Minnesota3363 Motor vehi2011 2,305 7 103,356 1,663 63,153Minnesota3364 Aerospace 2011 1,001 1 52,950 541 21,561Minnesota3366 Ship and bo2011 1,102 1 39,949 856 26,170Minnesota3369 Other tran2011 1,723 1 71,039 1,494 56,785Minnesota337 Furniture 2011 7,840 5 313,237 5,323 183,417Minnesota3371 Household a2011 5,310 5 185,664 3,724 114,118Minnesota3372 Office furn2011 2,332 13 120,693 1,465 65,148Minnesota339 Miscellane2011 18,690 16 1,203,467 9,772 365,381Minnesota3391 Medical eq2011 12,991 23 942,818 5,999 235,870Minnesota3399 Other misc2011 5,699 4 260,649 3,774 129,511Mississippi31-33 Manufactur2011 127,771 1 5,460,425 99,773 3,594,340Mississippi311 Food manuf2011 20,758 1 575,386 18,187 446,151Mississippi3116 Animal sla2011 15,550 1 409,234 14,084 340,407Mississippi3117 Seafood pr2011 2,209 3 52,273 1,960 33,546Mississippi314 Textile pro2011 1,139 6 34,932 977 26,694Mississippi315 Apparel ma2011 997 27 21,143 825 12,730 (s)Mississippi321 Wood prod2011 8,269 8 290,008 6,854 216,191Mississippi3211 Sawmills a 2011 3,844 5 148,910 3,313 119,853Mississippi3212 Veneer, pl 2011 2,573 3 94,020 2,070 65,949Mississippi3219 Other wood2011 1,852 32 47,077 (s) 1,471 30,389Mississippi322 Paper manu2011 3,639 2 223,465 2,718 142,464Mississippi3221 Pulp, paper2011 1,550 1 124,386 1,187 81,858Mississippi3222 Converted 2011 2,089 4 99,079 1,531 60,606Mississippi323 Printing an2011 1,620 20 62,879 1,260 42,460Mississippi3231 Printing an2011 1,620 20 62,879 1,260 42,460Mississippi324 Petroleum 2011 2,039 4 163,116 1,384 105,035Mississippi3241 Petroleum 2011 2,039 4 163,116 1,384 105,035Mississippi325 Chemical m2011 5,263 2 300,401 3,820 190,335Mississippi3251 Basic chem2011 1,323 1 91,757 954 60,752

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Mississippi3254 Pharmaceut2011 1,040 11 51,898 699 25,751Mississippi326 Plastics a 2011 6,447 4 257,787 5,199 184,278Mississippi3261 Plastics p 2011 4,430 5 159,593 3,460 102,254Mississippi3262 Rubber pro2011 2,016 4 98,193 1,739 82,024Mississippi327 Nonmetalli2011 2,419 19 113,535 1,997 81,858Mississippi3273 Cement and2011 1,450 24 67,622 1,103 47,121Mississippi331 Primary me2011 3,135 1 170,530 2,561 121,977Mississippi3312 Steel prod 2011 958 1 40,265 762 27,303Mississippi332 Fabricated2011 9,098 4 401,741 7,284 261,054Mississippi3323 Architectur2011 3,041 12 127,291 2,378 78,857Mississippi3324 Boiler, tan 2011 1,492 1 78,430 1,271 53,050Mississippi3327 Machine sh2011 1,449 9 65,831 1,093 40,153Mississippi3329 Other fabr 2011 1,557 7 67,393 1,233 42,103Mississippi333 Machinery 2011 9,627 1 404,910 7,090 251,682Mississippi3331 Agricultur 2011 1,293 1 45,540 987 31,016Mississippi3333 Commercial2011 1,132 1 49,509 866 28,693Mississippi3334 Ventilation2011 2,514 1 90,350 2,019 60,702Mississippi3336 Engine, tu 2011 1,340 1 54,784 1,078 39,820Mississippi3339 Other gene2011 2,830 2 138,506 1,765 76,080Mississippi334 Computer a2011 1,774 1 83,175 1,102 37,921Mississippi335 Electrical 2011 6,122 2 267,567 4,592 153,670Mississippi3351 Electric li 2011 1,092 1 38,642 881 25,892Mississippi3353 Electrical 2011 3,721 4 173,210 2,658 95,333Mississippi336 Transporta2011 22,711 5 1,358,150 15,570 811,430Mississippi3361 Motor vehi2011 h S D D DMississippi3363 Motor vehi2011 1,661 (s) 74 (s) 92,571 1,312 (s) 59,385 (s)Mississippi3366 Ship and bo2011 16,949 1 1,040,438 D DMississippi337 Furniture 2011 17,411 2 511,784 14,787 388,552Mississippi3371 Household a2011 14,967 2 436,623 12,798 338,108Mississippi3372 Office furn2011 2,062 8 60,656 1,710 41,246Mississippi339 Miscellane2011 3,598 16 150,110 2,190 70,553Mississippi3391 Medical eq2011 1,464 (s) 40 (s) 68,539 684 22,424Mississippi3399 Other misc2011 2,134 3 81,571 1,506 48,129Missouri 31-33 Manufactur2011 230,219 1 11,389,738 170,243 7,197,082Missouri 311 Food manuf2011 36,160 3 1,340,823 29,915 974,244Missouri 3111 Animal foo2011 1,743 8 91,672 1,255 59,525Missouri 3112 Grain and o2011 2,097 3 82,808 1,815 55,659Missouri 3113 Sugar and 2011 g S D D DMissouri 3114 Fruit and v2011 1,891 1 73,391 1,645 57,928Missouri 3115 Dairy prod2011 5,030 3 236,730 4,168 187,706Missouri 3116 Animal sla2011 17,428 5 520,112 15,567 401,128Missouri 3118 Bakeries an2011 4,542 1 161,103 2,929 97,521Missouri 3119 Other food2011 1,886 39 101,402 1,238 (s) 58,397Missouri 312 Beverage a2011 3,400 2 168,371 2,283 99,639Missouri 3121 Beverage m2011 h S D D DMissouri 314 Textile pro2011 2,125 27 61,314 1,683 39,767Missouri 3149 Other texti2011 1,646 35 48,510 1,281 30,525Missouri 315 Apparel ma2011 1,963 5 47,578 1,691 31,415

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Missouri 3152 Cut and se2011 1,685 6 42,205 1,452 27,390Missouri 316 Leather an2011 1,195 1 32,737 1,003 23,930Missouri 321 Wood prod2011 5,958 5 192,648 4,620 130,650Missouri 3211 Sawmills a 2011 1,316 1 47,567 988 32,996Missouri 3219 Other wood2011 4,048 7 125,387 3,195 86,407Missouri 322 Paper manu2011 7,975 4 388,704 6,191 271,258Missouri 3221 Pulp, paper2011 g S D D DMissouri 3222 Converted 2011 i S D D DMissouri 323 Printing an2011 13,458 5 575,094 9,416 346,897Missouri 3231 Printing an2011 13,458 5 575,094 9,416 346,897Missouri 324 Petroleum 2011 1,108 1 69,937 760 32,458Missouri 3241 Petroleum 2011 1,108 1 69,937 760 32,458Missouri 325 Chemical m2011 16,768 3 1,076,526 10,578 534,195Missouri 3251 Basic chem2011 2,236 1 123,918 1,651 81,310Missouri 3253 Pesticide, 2011 2,144 16 141,215 1,091 59,312Missouri 3254 Pharmaceut2011 3,861 9 338,665 1,961 134,243Missouri 3255 Paint, coa 2011 1,839 1 106,357 1,095 48,592Missouri 3256 Soap, clea 2011 4,634 1 260,660 3,346 150,876Missouri 3259 Other chem2011 1,392 17 72,265 926 37,490Missouri 326 Plastics a 2011 13,057 7 550,142 10,292 361,456Missouri 3261 Plastics p 2011 9,945 10 426,526 7,806 275,424Missouri 3262 Rubber pro2011 3,112 2 123,616 2,486 86,032Missouri 327 Nonmetalli2011 7,358 5 367,889 5,399 231,470Missouri 3272 Glass and 2011 1,139 1 53,257 921 37,140Missouri 3273 Cement and2011 3,280 12 159,950 2,404 99,277Missouri 3279 Other nonm2011 1,602 7 77,227 1,024 42,110Missouri 331 Primary me2011 7,188 2 340,382 5,545 229,785Missouri 3312 Steel prod 2011 1,524 1 64,794 1,079 41,022Missouri 3313 Alumina an2011 1,470 1 88,091 1,188 66,748Missouri 3314 Nonferrous2011 1,011 1 59,669 D 36,010Missouri 3315 Foundries 2011 3,121 4 124,440 2,430 82,825Missouri 332 Fabricated2011 27,828 3 1,306,581 20,506 815,180Missouri 3321 Forging an2011 1,082 (s) 41 (s) 55,798 842 34,607Missouri 3323 Architectur2011 7,466 6 364,202 5,371 214,606Missouri 3324 Boiler, tan 2011 2,481 8 129,995 1,584 76,839Missouri 3326 Spring and2011 1,874 4 70,032 1,550 49,969Missouri 3327 Machine sh2011 5,656 7 254,685 4,374 167,413Missouri 3328 Coating, en2011 1,504 12 71,041 997 41,458Missouri 3329 Other fabr 2011 6,792 8 322,826 5,054 206,410Missouri 333 Machinery 2011 28,268 5 1,372,921 18,948 724,081Missouri 3331 Agricultur 2011 1,002 7 52,640 634 28,354Missouri 3332 Industrial 2011 1,818 7 98,959 996 44,321Missouri 3333 Commercial2011 2,094 6 111,272 1,314 49,060Missouri 3334 Ventilation2011 8,574 1 328,769 6,823 225,695Missouri 3335 Metalworki2011 2,410 5 123,961 1,701 73,975Missouri 3336 Engine, tu 2011 2,400 8 87,416 1,972 59,881Missouri 3339 Other gene2011 9,970 12 569,904 5,507 242,794Missouri 334 Computer a2011 6,299 2 347,824 3,649 129,396

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Missouri 3342 Communica2011 1,286 5 85,286 539 17,774Missouri 3344 Semiconduc2011 2,180 4 81,878 1,467 37,203Missouri 3345 Navigation2011 2,657 3 172,163 1,546 70,461Missouri 335 Electrical 2011 8,665 15 417,107 6,325 249,544Missouri 3353 Electrical 2011 4,311 20 193,417 3,332 122,756Missouri 3359 Other elec 2011 3,951 24 202,296 2,694 114,710Missouri 336 Transporta2011 28,424 2 2,175,896 21,912 1,642,218Missouri 3361 Motor vehi2011 i S D D DMissouri 3362 Motor vehi2011 1,861 6 67,677 1,447 46,215Missouri 3363 Motor vehi2011 8,926 7 398,735 6,497 249,065Missouri 3364 Aerospace 2011 8,350 1 1,117,098 5,686 DMissouri 3366 Ship and bo2011 2,194 1 92,495 1,811 60,868Missouri 337 Furniture 2011 4,911 7 186,599 3,899 119,375Missouri 3371 Household a2011 3,704 8 130,641 3,050 88,450Missouri 3372 Office furn2011 1,145 17 53,912 809 29,723Missouri 339 Miscellane2011 7,907 12 362,869 5,478 205,173Missouri 3391 Medical eq2011 4,308 18 224,100 3,047 131,834Missouri 3399 Other misc2011 3,599 17 138,770 2,430 73,339Montana 31-33 Manufactur2011 13,067 6 626,516 9,480 396,397Montana 311 Food manuf2011 2,094 5 80,369 1,309 40,393Montana 321 Wood prod2011 2,080 16 83,417 1,922 DMontana 3211 Sawmills a 2011 1,147 7 42,699 1,027 DMontana 324 Petroleum 2011 986 1 93,036 676 57,154Montana 3241 Petroleum 2011 986 1 93,036 676 57,154Montana 332 Fabricated2011 1,389 11 61,461 993 39,531Montana 333 Machinery 2011 1,196 1 60,625 927 37,767Montana 339 Miscellane2011 1,304 4 51,825 888 30,786Nebraska 31-33 Manufactur2011 89,804 1 3,793,948 68,899 2,620,836Nebraska 311 Food manuf2011 34,191 2 1,283,708 27,953 984,666Nebraska 3111 Animal foo2011 1,674 6 86,068 1,115 54,011Nebraska 3112 Grain and o2011 1,369 33 96,919 881 (s) 69,849Nebraska 3116 Animal sla2011 26,267 2 903,279 22,374 737,973Nebraska 3118 Bakeries an2011 2,128 1 91,194 1,355 51,459Nebraska 3119 Other food2011 1,031 7 34,034 865 22,850Nebraska 321 Wood prod2011 1,612 6 55,935 1,227 35,737Nebraska 3219 Other wood2011 1,406 6 46,860 1,112 31,737Nebraska 322 Paper manu2011 1,495 1 73,622 1,166 49,623Nebraska 3222 Converted 2011 g S D D DNebraska 323 Printing an2011 3,057 5 127,807 2,251 78,616Nebraska 3231 Printing an2011 3,057 5 127,807 2,251 78,616Nebraska 325 Chemical m2011 4,226 1 247,876 3,003 154,709Nebraska 3251 Basic chem2011 2,089 1 111,281 1,501 72,126Nebraska 3254 Pharmaceut2011 1,864 1 121,900 1,313 73,497Nebraska 326 Plastics a 2011 5,048 5 203,342 4,040 134,756Nebraska 3261 Plastics p 2011 3,192 8 121,025 2,457 70,578Nebraska 3262 Rubber pro2011 1,856 1 82,317 1,583 64,178Nebraska 327 Nonmetalli2011 2,371 2 97,671 1,906 70,986Nebraska 3273 Cement and2011 1,994 3 82,471 1,631 62,161

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Nebraska 331 Primary me2011 1,121 1 74,435 942 62,138Nebraska 332 Fabricated2011 7,617 3 339,653 5,415 213,641Nebraska 3323 Architectur2011 2,976 7 129,013 1,976 72,596Nebraska 3327 Machine sh2011 1,225 3 49,012 954 34,017Nebraska 3328 Coating, en2011 1,049 1 47,364 730 24,071Nebraska 3329 Other fabr 2011 1,382 2 65,485 1,182 52,167Nebraska 333 Machinery 2011 8,430 5 414,958 5,863 260,087Nebraska 3331 Agricultur 2011 5,895 4 297,794 4,208 192,451Nebraska 3339 Other gene2011 1,243 17 55,814 794 34,666Nebraska 334 Computer a2011 4,441 1 188,241 3,130 107,557Nebraska 3342 Communica2011 1,155 1 43,347 960 34,411Nebraska 3344 Semiconduc2011 1,762 1 69,036 1,141 35,303Nebraska 3345 Navigation2011 1,333 1 71,400 889 34,729Nebraska 335 Electrical 2011 1,707 1 73,401 1,211 43,821Nebraska 3359 Other elec 2011 993 1 38,653 718 24,072Nebraska 336 Transporta2011 6,816 5 303,021 5,396 221,365Nebraska 3362 Motor vehi2011 1,637 5 62,124 1,317 44,932Nebraska 3363 Motor vehi2011 3,320 11 130,019 2,613 97,984Nebraska 337 Furniture 2011 1,725 9 69,799 1,241 47,789Nebraska 3372 Office furn2011 1,044 14 44,139 D 32,278Nebraska 339 Miscellane2011 4,668 11 192,604 3,372 130,818Nebraska 3391 Medical eq2011 4,333 10 181,925 3,148 121,870Nevada 31-33 Manufactur2011 37,789 4 2,052,383 25,377 1,046,727Nevada 311 Food manuf2011 3,636 4 158,369 2,413 88,804Nevada 3118 Bakeries an2011 1,132 12 41,025 549 14,908Nevada 3119 Other food2011 1,015 5 43,253 850 26,761Nevada 322 Paper manu2011 1,055 11 52,453 856 35,413Nevada 323 Printing an2011 3,534 11 139,761 2,534 88,392Nevada 3231 Printing an2011 3,534 11 139,761 2,534 88,392Nevada 325 Chemical m2011 1,425 1 80,977 951 45,701Nevada 326 Plastics a 2011 2,565 13 109,249 2,152 71,833Nevada 3261 Plastics p 2011 2,447 13 104,700 2,062 69,103Nevada 327 Nonmetalli2011 3,182 5 146,749 2,395 98,322Nevada 3273 Cement and2011 1,926 6 86,181 1,447 57,476Nevada 331 Primary me2011 1,243 1 70,520 972 47,048Nevada 332 Fabricated2011 4,604 9 210,328 3,448 125,414Nevada 3323 Architectur2011 2,443 8 104,190 1,940 55,813Nevada 3327 Machine sh2011 1,095 24 50,567 832 31,322Nevada 333 Machinery 2011 1,815 3 90,334 1,259 51,055Nevada 334 Computer a2011 3,436 24 302,473 2,057 156,184 (s)Nevada 3342 Communica2011 1,842 (s) 45 (s) 217,745 (s) 1,115 (s) 123,348 (s)Nevada 335 Electrical 2011 1,083 1 53,814 653 21,711Nevada 336 Transporta2011 1,008 1 48,554 759 27,630Nevada 337 Furniture 2011 1,109 30 40,914 (s) 886 29,523Nevada 339 Miscellane2011 6,001 11 451,574 2,357 89,000Nevada 3399 Other misc2011 5,136 12 414,291 1,753 71,600New Hamps31-33 Manufactur2011 68,569 1 3,863,864 41,837 1,713,888

New Hamps311 Food manuf2011 2,640 3 114,952 1,514 53,044

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New Hamps313 Textile mill2011 1,374 1 68,626 1,102 43,110

New Hamps321 Wood prod2011 2,030 10 78,828 1,462 46,223New Hamps3219 Other wood2011 1,477 10 50,660 1,028 26,303New Hamps323 Printing an2011 2,460 8 100,582 1,736 63,296New Hamps3231 Printing an2011 2,460 8 100,582 1,736 63,296New Hamps325 Chemical m2011 2,021 1 116,212 1,433 72,766New Hamps3254 Pharmaceut2011 1,271 1 76,203 893 47,845New Hamps326 Plastics a 2011 4,268 5 191,376 3,272 120,316New Hamps3261 Plastics p 2011 3,004 7 136,551 2,287 83,383New Hamps3262 Rubber pro2011 1,264 1 54,825 985 36,933New Hamps327 Nonmetalli2011 1,701 9 82,997 1,259 49,856New Hamps331 Primary me2011 1,822 7 86,074 1,441 53,824New Hamps3315 Foundries 2011 1,462 9 66,499 1,175 42,414New Hamps332 Fabricated2011 11,017 4 599,245 7,947 340,050New Hamps3323 Architectur2011 1,561 17 70,253 1,061 39,506New Hamps3327 Machine sh2011 3,127 11 198,226 2,366 115,166New Hamps3329 Other fabr 2011 4,532 3 247,857 3,230 135,330New Hamps333 Machinery 2011 9,424 3 585,016 5,202 254,458New Hamps3332 Industrial 2011 1,784 7 125,543 852 49,104New Hamps3333 Commercial2011 2,636 1 167,819 1,410 68,853New Hamps3339 Other gene2011 3,547 1 217,694 1,943 93,057New Hamps334 Computer a2011 14,055 1 1,025,607 5,176 223,425New Hamps3344 Semiconduc2011 4,840 4 254,925 2,826 113,216New Hamps3345 Navigation2011 7,846 1 681,597 1,867 89,327New Hamps335 Electrical 2011 4,485 1 265,267 2,777 125,998New Hamps3359 Other elec 2011 2,866 1 166,440 1,868 87,838New Hamps336 Transporta2011 1,979 1 111,104 1,598 79,719New Hamps337 Furniture 2011 1,373 1 55,298 907 29,307New Hamps3371 Household a2011 1,100 1 41,905 719 21,711New Hamps339 Miscellane2011 5,874 6 284,840 3,571 108,106New Hamps3391 Medical eq2011 3,078 8 163,399 1,735 54,075New Hamps3399 Other misc2011 2,796 9 121,441 1,836 54,031New Jersey31-33 Manufactur2011 231,787 1 14,218,793 148,245 6,478,511New Jersey311 Food manuf2011 25,394 5 1,152,049 18,042 671,523New Jersey3113 Sugar and 2011 1,417 7 69,557 739 35,554New Jersey3114 Fruit and v2011 3,544 3 184,206 2,783 112,040New Jersey3115 Dairy prod2011 2,152 34 111,210 1,593 64,513New Jersey3116 Animal sla2011 3,207 2 130,202 2,604 90,766New Jersey3118 Bakeries an2011 9,014 10 343,032 5,893 200,582New Jersey3119 Other food2011 4,597 14 240,636 3,488 131,825New Jersey312 Beverage a2011 2,366 1 129,264 1,568 75,620New Jersey3121 Beverage m2011 2,366 1 129,264 1,568 75,620New Jersey313 Textile mill2011 1,317 29 69,181 982 39,088New Jersey314 Textile pro2011 1,888 11 75,596 1,301 38,719New Jersey3149 Other texti2011 998 18 39,791 621 20,268New Jersey315 Apparel ma2011 2,685 9 75,462 2,252 51,088New Jersey3152 Cut and se2011 2,485 10 69,684 2,101 48,115New Jersey321 Wood prod2011 2,580 10 100,414 1,895 62,941

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New Jersey3219 Other wood2011 2,147 12 82,213 1,584 51,158New Jersey322 Paper manu2011 8,655 3 437,974 6,502 266,572New Jersey3222 Converted 2011 7,719 3 384,803 5,815 227,953New Jersey323 Printing an2011 16,504 4 791,938 11,703 452,613New Jersey3231 Printing an2011 16,504 4 791,938 11,703 452,613New Jersey324 Petroleum 2011 2,894 2 258,507 1,950 150,348New Jersey3241 Petroleum 2011 2,894 2 258,507 1,950 150,348New Jersey325 Chemical m2011 41,104 1 3,503,305 20,506 1,105,539New Jersey3251 Basic chem2011 4,968 3 426,838 2,931 211,373New Jersey3252 Resin, synt2011 1,460 9 99,105 951 53,333New Jersey3254 Pharmaceut2011 18,760 3 1,968,741 6,946 401,293New Jersey3255 Paint, coa 2011 1,694 6 96,289 1,133 50,437New Jersey3256 Soap, clea 2011 11,813 1 759,184 6,992 311,198New Jersey3259 Other chem2011 2,101 11 139,280 1,425 72,558New Jersey326 Plastics a 2011 17,398 2 762,785 13,316 458,664New Jersey3261 Plastics p 2011 15,290 2 669,538 11,644 400,193New Jersey3262 Rubber pro2011 2,108 3 93,247 1,672 58,471New Jersey327 Nonmetalli2011 9,602 3 518,501 7,123 327,385New Jersey3272 Glass and 2011 4,516 5 256,571 3,466 175,293New Jersey3273 Cement and2011 3,155 7 165,750 2,353 99,434New Jersey3279 Other nonm2011 1,339 8 69,275 874 34,959New Jersey331 Primary me2011 4,250 8 228,236 3,206 153,190New Jersey3314 Nonferrous2011 1,375 8 67,714 1,034 49,009New Jersey3315 Foundries 2011 1,202 26 65,399 877 40,566New Jersey332 Fabricated2011 20,816 5 1,046,439 14,845 587,079New Jersey3321 Forging an2011 2,618 15 121,649 2,099 69,742New Jersey3323 Architectur2011 5,552 4 262,168 3,878 142,599New Jersey3324 Boiler, tan 2011 1,158 3 63,466 892 42,480New Jersey3326 Spring and2011 1,346 2 67,716 896 28,965New Jersey3327 Machine sh2011 3,981 15 222,343 2,780 138,136New Jersey3328 Coating, en2011 1,849 9 84,112 1,488 54,626New Jersey3329 Other fabr 2011 4,217 4 225,902 2,699 109,516New Jersey333 Machinery 2011 12,630 4 730,890 7,488 323,680New Jersey3332 Industrial 2011 2,088 5 123,127 1,144 50,252New Jersey3333 Commercial2011 1,891 1 115,160 779 35,659New Jersey3334 Ventilation2011 1,783 4 81,443 1,375 53,259New Jersey3335 Metalworki2011 1,410 12 83,674 1,074 48,539New Jersey3339 Other gene2011 4,383 10 255,778 2,547 107,049New Jersey334 Computer a2011 22,968 4 1,939,612 12,193 812,628New Jersey3342 Communica2011 3,203 9 264,152 1,365 62,159New Jersey3344 Semiconduc2011 4,649 19 346,833 3,203 151,923New Jersey3345 Navigation2011 13,766 2 1,253,208 6,872 563,789New Jersey335 Electrical 2011 6,832 5 376,509 4,816 191,837New Jersey3351 Electric li 2011 1,739 6 99,127 1,150 37,353New Jersey3353 Electrical 2011 1,998 6 117,648 1,376 68,877New Jersey3359 Other elec 2011 2,762 12 148,253 2,024 78,448New Jersey336 Transporta2011 2,986 8 157,775 2,062 92,041New Jersey3364 Aerospace 2011 981 1 67,792 639 36,324New Jersey337 Furniture 2011 5,063 8 225,380 3,696 115,741

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New Jersey3371 Household a2011 1,912 19 67,091 1,402 44,702New Jersey3372 Office furn2011 2,441 8 129,681 1,722 54,311New Jersey339 Miscellane2011 23,719 4 1,634,454 12,706 499,655New Jersey3391 Medical eq2011 16,179 5 1,282,457 7,772 338,714New Jersey3399 Other misc2011 7,540 7 351,997 4,933 160,941New Mexic31-33 Manufactur2011 25,450 2 1,291,122 17,136 731,733New Mexic311 Food manuf2011 4,821 1 170,804 3,606 111,972New Mexic3114 Fruit and v2011 998 2 33,323 796 21,703New Mexic3115 Dairy prod2011 1,374 1 61,795 979 40,838New Mexic325 Chemical m2011 994 1 78,666 761 60,350New Mexic327 Nonmetalli2011 1,406 11 67,444 1,092 50,947New Mexic3273 Cement and2011 994 13 51,458 803 40,691New Mexic332 Fabricated2011 2,347 8 102,708 1,754 60,102New Mexic333 Machinery 2011 1,620 8 104,722 1,093 50,479New Mexic334 Computer a2011 5,398 8 382,213 3,004 176,632New Mexic3344 Semiconduc2011 3,663 12 260,774 2,311 145,732New Mexic3345 Navigation2011 1,412 9 104,508 456 21,812New Mexic335 Electrical 2011 1,259 10 54,203 727 26,568New Mexic339 Miscellane2011 2,401 6 89,584 1,699 55,482New Mexic3399 Other misc2011 1,463 10 45,087 958 25,353New York 31-33 Manufactur2011 417,346 1 22,213,521 276,602 11,341,373New York 311 Food manuf2011 41,709 2 1,661,894 31,583 1,083,629New York 3111 Animal foo2011 1,910 4 97,734 1,228 57,275New York 3112 Grain and o2011 1,003 4 65,687 677 42,567New York 3113 Sugar and 2011 2,482 2 107,386 1,924 63,955New York 3114 Fruit and v2011 5,024 2 203,745 4,167 147,515New York 3115 Dairy prod2011 7,332 3 349,209 5,973 250,712New York 3116 Animal sla2011 3,565 6 132,586 2,925 89,410New York 3118 Bakeries an2011 14,488 4 452,892 10,253 298,085New York 3119 Other food2011 5,662 5 232,245 4,275 128,246New York 312 Beverage a2011 5,706 12 258,746 3,984 154,136New York 3121 Beverage m2011 5,648 12 254,634 3,944 151,797New York 313 Textile mill2011 2,151 18 100,887 1,556 59,295New York 3132 Fabric mills2011 1,366 3 69,832 975 39,520New York 314 Textile pro2011 4,270 9 152,404 3,204 79,922New York 3141 Textile furn2011 1,141 22 45,200 780 21,227New York 3149 Other texti2011 3,129 9 107,204 2,423 58,694New York 315 Apparel ma2011 8,437 14 285,613 6,567 174,125New York 3152 Cut and se2011 6,571 18 230,963 4,970 133,288New York 3159 Apparel ac2011 1,491 7 44,725 1,281 33,670New York 316 Leather an2011 1,453 7 48,852 992 26,243New York 321 Wood prod2011 6,445 9 228,359 4,947 153,719New York 3219 Other wood2011 5,305 7 183,796 4,126 123,669New York 322 Paper manu2011 13,966 3 737,656 10,809 483,882New York 3221 Pulp, paper2011 4,535 1 284,272 3,479 189,004New York 3222 Converted 2011 9,431 5 453,384 7,330 294,878New York 323 Printing an2011 22,843 10 1,035,800 15,821 627,731New York 3231 Printing an2011 22,843 10 1,035,800 15,821 627,731

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New York 324 Petroleum 2011 1,579 5 86,695 1,165 59,975New York 3241 Petroleum 2011 1,579 5 86,695 1,165 59,975New York 325 Chemical m2011 37,718 5 2,366,566 23,589 1,112,662New York 3251 Basic chem2011 4,937 4 366,949 3,423 210,271New York 3252 Resin, synt2011 968 10 70,820 545 (s) 38,905New York 3254 Pharmaceut2011 18,367 2 1,122,308 11,218 480,459New York 3255 Paint, coa 2011 1,256 9 58,538 769 26,157New York 3256 Soap, clea 2011 4,005 (s) 44 (s) 217,699 2,837 108,229New York 3259 Other chem2011 7,640 1 502,848 4,411 233,063New York 326 Plastics a 2011 22,261 4 1,013,543 17,051 601,035New York 3261 Plastics p 2011 19,758 5 871,653 15,032 504,598New York 3262 Rubber pro2011 2,503 4 141,890 2,019 96,437New York 327 Nonmetalli2011 14,483 3 709,842 11,036 469,031New York 3271 Clay produ2011 1,706 7 D D DNew York 3272 Glass and 2011 4,000 5 188,665 3,115 133,087New York 3273 Cement and2011 5,266 3 256,508 3,864 165,076New York 3279 Other nonm2011 3,371 9 187,472 2,730 121,377New York 331 Primary me2011 10,007 2 604,756 7,511 396,989New York 3311 Iron and st2011 1,415 1 87,904 1,143 66,062New York 3313 Alumina an2011 2,567 1 167,204 1,847 110,954New York 3314 Nonferrous2011 4,018 2 239,908 3,007 154,912New York 3315 Foundries 2011 1,673 11 88,603 1,295 55,132New York 332 Fabricated2011 49,408 2 2,406,871 35,991 1,495,169New York 3321 Forging an2011 2,594 13 116,409 1,905 72,924New York 3322 Cutlery an 2011 1,512 10 69,746 1,269 50,480New York 3323 Architectur2011 11,247 4 528,491 7,670 305,590New York 3324 Boiler, tan 2011 4,284 1 247,178 3,205 154,959New York 3325 Hardware m2011 1,210 1 56,739 887 34,322New York 3327 Machine sh2011 13,927 6 654,287 10,723 454,501New York 3328 Coating, en2011 4,388 6 186,909 3,292 119,052New York 3329 Other fabr 2011 9,475 2 514,563 6,521 287,344New York 333 Machinery 2011 38,874 2 2,300,595 23,105 1,127,160New York 3331 Agricultur 2011 1,942 2 104,855 1,255 58,792New York 3332 Industrial 2011 5,136 5 304,961 2,941 149,801New York 3333 Commercial2011 3,176 6 202,941 1,712 80,064New York 3334 Ventilation2011 3,540 2 156,781 2,428 84,319New York 3335 Metalworki2011 4,448 8 263,052 2,884 140,152New York 3336 Engine, tu 2011 4,893 7 325,212 3,727 215,025New York 3339 Other gene2011 15,739 1 942,793 8,158 399,006New York 334 Computer a2011 49,684 4 3,727,343 20,499 1,036,381New York 3341 Computer a2011 3,896 39 273,860 (s) S 15,080 (s)New York 3342 Communica2011 6,086 1 424,629 3,303 203,001New York 3344 Semiconduc2011 23,349 4 1,743,246 11,052 487,314New York 3345 Navigation2011 15,259 4 1,233,334 5,992 311,503New York 335 Electrical 2011 14,094 4 748,197 8,886 324,229New York 3351 Electric li 2011 h S D D DNew York 3353 Electrical 2011 4,723 5 247,750 2,951 100,703New York 3359 Other elec 2011 6,357 2 349,835 3,784 149,643

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New York 336 Transporta2011 21,516 2 1,378,549 14,608 721,844New York 3363 Motor vehi2011 10,221 4 613,308 7,790 407,317New York 3364 Aerospace 2011 7,048 4 527,399 3,837 202,397New York 3365 Railroad ro2011 2,182 1 142,691 1,420 52,299New York 337 Furniture 2011 15,302 3 615,408 11,010 361,073New York 3371 Household a2011 8,017 4 298,490 5,674 175,585New York 3372 Office furn2011 4,972 8 227,473 3,852 140,744New York 3379 Other furn2011 2,313 2 89,445 1,485 44,744New York 339 Miscellane2011 35,440 4 1,744,945 22,688 793,140New York 3391 Medical eq2011 15,689 2 830,200 10,038 357,509New York 3399 Other misc2011 19,751 6 914,745 12,650 435,631North Caro31-33 Manufactur2011 387,121 1 17,278,952 291,640 10,769,252North Caro311 Food manuf2011 48,629 2 1,624,665 41,409 1,218,676North Caro3111 Animal foo2011 1,174 1 53,458 889 36,302North Caro3112 Grain and o2011 1,073 1 56,094 803 37,619North Caro3114 Fruit and v2011 3,975 6 144,017 3,596 114,383North Caro3115 Dairy prod2011 1,138 1 41,407 983 30,465North Caro3116 Animal sla2011 30,790 2 896,264 27,845 753,898North Caro3118 Bakeries an2011 7,478 6 297,446 4,972 167,594North Caro3119 Other food2011 2,766 9 130,290 2,064 72,604North Caro312 Beverage a2011 9,875 3 549,571 7,043 345,332North Caro3121 Beverage m2011 3,249 9 159,370 1,695 77,639North Caro3122 Tobacco ma2011 6,626 1 390,201 5,348 267,693North Caro313 Textile mill2011 24,390 4 855,927 20,584 604,972North Caro3131 Fiber, yarn2011 8,094 8 253,886 7,582 207,816North Caro3132 Fabric mills2011 9,826 5 374,198 8,235 260,339North Caro3133 Textile and2011 6,470 11 227,843 4,768 136,817North Caro314 Textile pro2011 8,123 4 228,057 6,229 157,830North Caro3141 Textile furn2011 4,422 6 108,279 3,259 74,893North Caro3149 Other texti2011 3,701 5 119,778 2,970 82,937North Caro315 Apparel ma2011 10,166 6 261,495 8,557 182,624North Caro3151 Apparel kni2011 7,348 9 194,631 6,183 137,262North Caro3152 Cut and se2011 2,233 7 53,729 1,910 37,075North Caro321 Wood prod2011 17,490 4 637,582 13,836 432,708North Caro3211 Sawmills a 2011 4,300 4 171,114 3,667 133,781North Caro3212 Veneer, pl 2011 4,275 6 167,602 3,348 112,479North Caro3219 Other wood2011 8,915 6 298,866 6,821 186,448North Caro322 Paper manu2011 15,656 9 807,602 12,393 564,885North Caro3221 Pulp, paper2011 3,171 1 215,912 2,561 161,102North Caro3222 Converted 2011 12,485 11 591,690 9,832 403,783North Caro323 Printing an2011 9,508 13 418,386 6,406 256,399North Caro3231 Printing an2011 9,508 13 418,386 6,406 256,399North Caro325 Chemical m2011 34,472 1 2,214,138 20,896 1,130,398North Caro3251 Basic chem2011 3,576 5 251,908 2,051 127,603North Caro3252 Resin, synt2011 3,971 3 239,550 2,772 133,130North Caro3253 Pesticide, 2011 1,555 4 104,311 1,124 71,186North Caro3254 Pharmaceut2011 15,083 1 1,070,909 8,308 537,800North Caro3255 Paint, coa 2011 1,955 1 123,957 1,135 53,972

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North Caro3256 Soap, clea 2011 5,231 2 275,175 3,243 124,305North Caro3259 Other chem2011 3,101 1 148,328 2,263 82,400North Caro326 Plastics a 2011 26,845 14 1,207,894 20,942 779,543North Caro3261 Plastics p 2011 17,966 21 754,798 13,841 469,133North Caro3262 Rubber pro2011 8,879 2 453,097 7,101 310,410North Caro327 Nonmetalli2011 13,319 3 585,972 10,694 417,739North Caro3271 Clay produ2011 g S D D DNorth Caro3272 Glass and 2011 4,818 3 269,510 4,024 199,417North Caro3273 Cement and2011 5,100 6 193,103 4,184 140,328North Caro3279 Other nonm2011 1,829 9 68,293 1,198 37,363North Caro331 Primary me2011 5,983 1 346,751 4,778 249,734North Caro3311 Iron and st2011 962 1 75,194 731 56,601North Caro3314 Nonferrous2011 2,915 1 175,795 2,297 121,647North Caro3315 Foundries 2011 1,173 3 55,145 961 41,307North Caro332 Fabricated2011 32,002 3 1,474,646 23,877 936,763North Caro3321 Forging an2011 2,163 6 97,572 1,646 61,631North Caro3322 Cutlery an 2011 1,251 1 49,683 961 32,055North Caro3323 Architectur2011 8,173 9 354,062 5,777 207,674North Caro3324 Boiler, tan 2011 2,219 11 141,007 1,825 98,338North Caro3325 Hardware m2011 1,386 3 53,277 1,068 32,436North Caro3326 Spring and2011 1,288 9 43,711 1,042 26,965North Caro3327 Machine sh2011 5,777 9 276,806 4,237 179,801North Caro3328 Coating, en2011 1,530 3 66,462 1,224 44,775North Caro3329 Other fabr 2011 8,215 1 392,066 6,097 253,089North Caro333 Machinery 2011 27,550 2 1,407,203 18,325 726,712North Caro3331 Agricultur 2011 3,827 4 163,610 2,379 80,579North Caro3332 Industrial 2011 3,064 8 184,282 1,805 78,303North Caro3333 Commercial2011 2,339 1 145,028 1,115 54,035North Caro3334 Ventilation2011 3,447 6 126,761 2,609 73,904North Caro3335 Metalworki2011 1,740 9 84,623 1,424 63,892North Caro3336 Engine, tu 2011 4,554 2 253,430 3,392 154,080North Caro3339 Other gene2011 8,580 4 449,469 5,601 221,919North Caro334 Computer a2011 13,977 10 863,553 8,606 354,279North Caro3344 Semiconduc2011 7,862 11 558,052 5,212 233,409North Caro3345 Navigation2011 3,588 4 187,713 1,858 69,497North Caro3346 Manufactur2011 1,447 1 66,427 1,070 41,820North Caro335 Electrical 2011 14,422 5 701,067 9,856 385,573North Caro3351 Electric li 2011 1,440 34 73,971 827 DNorth Caro3352 Household 2011 1,392 1 49,079 1,022 DNorth Caro3353 Electrical 2011 4,950 8 244,554 3,126 127,287North Caro3359 Other elec 2011 6,640 2 333,463 4,881 208,122North Caro336 Transporta2011 25,568 2 1,321,746 19,585 870,800North Caro3361 Motor vehi2011 h S D D DNorth Caro3362 Motor vehi2011 2,808 5 131,777 2,189 84,375North Caro3363 Motor vehi2011 13,491 4 677,141 9,706 413,166North Caro3364 Aerospace 2011 3,146 1 234,470 2,025 138,219North Caro3366 Ship and bo2011 1,998 12 73,054 D DNorth Caro337 Furniture 2011 34,246 2 1,134,691 27,258 792,008North Caro3371 Household a2011 27,930 3 901,043 22,620 651,635

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North Caro3372 Office furn2011 5,245 7 192,563 3,830 116,661North Caro3379 Other furn2011 1,071 10 41,085 808 23,712North Caro339 Miscellane2011 13,424 9 573,712 9,114 311,866North Caro3391 Medical eq2011 5,939 20 302,141 3,915 153,376North Caro3399 Other misc2011 7,485 6 271,571 5,200 158,490North Dako31-33 Manufactur2011 21,451 2 964,369 16,213 626,321North Dako311 Food manuf2011 4,751 2 197,710 3,450 132,223North Dako3113 Sugar and 2011 f S D D DNorth Dako3118 Bakeries an2011 1,319 6 46,921 813 30,557North Dako321 Wood prod2011 1,595 1 53,409 1,407 37,882North Dako3219 Other wood2011 1,135 1 35,941 1,041 25,827North Dako326 Plastics a 2011 1,042 6 39,513 779 23,590North Dako327 Nonmetalli2011 1,063 1 45,504 853 32,859North Dako332 Fabricated2011 2,037 8 81,977 1,650 58,449North Dako3323 Architectur2011 1,039 7 44,888 832 30,220North Dako333 Machinery 2011 4,113 9 230,509 3,427 169,389North Dako3331 Agricultur 2011 3,328 11 189,683 2,812 141,935North Dako334 Computer a2011 1,530 1 81,622 762 24,572North Dako3344 Semiconduc2011 1,300 1 67,186 616 18,798North Dako336 Transporta2011 1,635 1 65,807 1,342 45,143Ohio 31-33 Manufactur2011 595,202 1 30,757,633 429,562 18,825,063Ohio 311 Food manuf2011 48,825 2 2,110,227 38,294 1,450,510Ohio 3111 Animal foo2011 2,200 1 116,916 1,381 73,991Ohio 3112 Grain and o2011 2,162 1 127,862 1,497 84,242Ohio 3113 Sugar and 2011 g S D D DOhio 3114 Fruit and v2011 9,831 1 437,795 8,217 322,912Ohio 3115 Dairy prod2011 5,096 1 269,030 3,658 174,737Ohio 3116 Animal sla2011 9,812 5 335,281 8,523 246,987Ohio 3118 Bakeries an2011 10,388 5 413,502 7,851 284,736Ohio 3119 Other food2011 7,923 2 362,768 6,205 236,507Ohio 312 Beverage a2011 4,689 2 220,415 2,919 131,303Ohio 3121 Beverage m2011 4,689 2 220,415 2,919 131,303Ohio 313 Textile mill2011 1,627 12 74,947 1,306 50,202Ohio 314 Textile pro2011 2,154 16 78,419 1,684 44,258Ohio 3141 Textile furn2011 1,101 3 37,795 834 21,548Ohio 3149 Other texti2011 1,053 33 40,624 850 22,711Ohio 315 Apparel ma2011 1,015 1 23,073 849 16,434Ohio 316 Leather an2011 1,136 1 29,979 927 19,085Ohio 3169 Other leat 2011 1,083 1 27,716 888 17,699Ohio 321 Wood prod2011 9,962 6 347,714 8,091 249,395Ohio 3211 Sawmills a 2011 1,501 8 55,888 1,205 41,832Ohio 3219 Other wood2011 7,677 7 261,039 6,330 188,623Ohio 322 Paper manu2011 18,699 2 939,224 14,306 619,642Ohio 3221 Pulp, paper2011 3,453 1 229,922 2,738 169,854Ohio 3222 Converted 2011 15,246 2 709,302 11,568 449,788Ohio 323 Printing an2011 22,201 4 939,458 15,146 557,316Ohio 3231 Printing an2011 22,201 4 939,458 15,146 557,316Ohio 324 Petroleum 2011 4,841 5 365,883 3,394 224,351

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Ohio 3241 Petroleum 2011 4,841 5 365,883 3,394 224,351Ohio 325 Chemical m2011 33,704 2 2,154,484 22,054 1,191,669Ohio 3251 Basic chem2011 5,734 3 408,800 3,737 242,741Ohio 3252 Resin, synt2011 4,553 4 298,034 3,059 172,176Ohio 3253 Pesticide, 2011 1,336 7 80,446 820 44,636Ohio 3254 Pharmaceut2011 4,843 6 311,093 3,707 231,586Ohio 3255 Paint, coa 2011 6,660 2 420,318 3,426 151,431Ohio 3256 Soap, clea 2011 6,086 6 381,326 4,396 211,380Ohio 3259 Other chem2011 4,492 5 254,466 2,909 137,720Ohio 326 Plastics a 2011 57,387 2 2,477,296 44,044 1,577,786Ohio 3261 Plastics p 2011 44,055 2 1,827,308 34,106 1,185,560Ohio 3262 Rubber pro2011 13,331 3 649,989 9,938 392,226Ohio 327 Nonmetalli2011 20,202 3 950,547 15,805 641,117Ohio 3271 Clay produ2011 3,963 2 176,792 2,978 107,560Ohio 3272 Glass and 2011 5,942 7 288,589 4,981 210,558Ohio 3273 Cement and2011 5,218 6 218,902 4,044 148,917Ohio 3279 Other nonm2011 4,395 5 224,703 3,185 137,981Ohio 331 Primary me2011 38,371 2 2,319,880 31,021 1,709,778Ohio 3311 Iron and st2011 13,529 4 933,627 11,325 746,039Ohio 3312 Steel prod 2011 4,790 4 308,292 3,843 213,179Ohio 3313 Alumina an2011 2,907 11 156,686 2,326 113,349Ohio 3314 Nonferrous2011 4,533 2 274,172 3,184 178,604Ohio 3315 Foundries 2011 12,612 5 647,103 10,342 458,608Ohio 332 Fabricated2011 97,197 2 4,730,466 71,777 3,007,776Ohio 3321 Forging an2011 11,970 4 600,766 8,841 377,416Ohio 3322 Cutlery an 2011 3,855 10 203,261 2,394 93,038Ohio 3323 Architectur2011 14,380 4 665,175 10,225 398,800Ohio 3324 Boiler, tan 2011 6,266 3 344,647 4,630 231,324Ohio 3325 Hardware m2011 1,207 7 68,968 761 31,034Ohio 3326 Spring and2011 2,429 4 103,379 1,878 63,830Ohio 3327 Machine sh2011 28,808 3 1,415,879 21,779 956,030Ohio 3328 Coating, en2011 8,834 7 378,832 6,609 242,970Ohio 3329 Other fabr 2011 19,449 2 949,558 14,658 613,334Ohio 333 Machinery 2011 62,377 1 3,490,834 39,974 1,802,003Ohio 3331 Agricultur 2011 5,188 5 242,805 3,711 146,551Ohio 3332 Industrial 2011 7,814 6 463,716 4,280 197,645Ohio 3333 Commercial2011 2,982 9 172,991 1,523 65,281Ohio 3334 Ventilation2011 6,087 2 301,761 4,063 133,006Ohio 3335 Metalworki2011 15,142 4 830,610 10,756 519,267Ohio 3336 Engine, tu 2011 4,388 2 259,423 2,792 129,055Ohio 3339 Other gene2011 20,775 2 1,219,529 12,849 611,199Ohio 334 Computer a2011 20,251 2 1,236,043 9,838 380,772Ohio 3341 Computer a2011 1,235 1 65,858 583 23,791Ohio 3342 Communica2011 1,126 2 76,649 274 10,920Ohio 3344 Semiconduc2011 6,407 4 299,349 3,891 137,422Ohio 3345 Navigation2011 11,268 2 783,653 4,991 205,881Ohio 335 Electrical 2011 22,362 3 1,105,991 16,933 717,273Ohio 3351 Electric li 2011 h S D D D

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Ohio 3352 Household 2011 i S D D DOhio 3353 Electrical 2011 5,052 10 276,190 3,325 136,046Ohio 3359 Other elec 2011 5,613 2 263,888 3,633 131,476Ohio 336 Transporta2011 93,545 3 5,661,520 68,811 3,679,655Ohio 3361 Motor vehi2011 19,552 11 1,327,667 16,416 1,029,390Ohio 3362 Motor vehi2011 3,831 9 174,258 2,869 112,390Ohio 3363 Motor vehi2011 53,340 3 2,931,068 41,580 2,051,853Ohio 3364 Aerospace 2011 14,532 2 1,077,890 6,391 393,242Ohio 3369 Other tran2011 1,832 2 129,993 1,240 81,146Ohio 337 Furniture 2011 12,632 3 526,278 8,663 284,696Ohio 3371 Household a2011 9,464 2 386,776 6,435 214,654Ohio 3372 Office furn2011 2,459 12 109,322 1,709 51,777Ohio 339 Miscellane2011 22,028 3 974,956 13,727 470,039Ohio 3391 Medical eq2011 9,687 3 466,139 6,016 233,617Ohio 3399 Other misc2011 12,340 5 508,817 7,710 236,422Oklahoma 31-33 Manufactur2011 125,357 1 5,960,953 93,498 3,807,415Oklahoma 311 Food manuf2011 15,997 1 586,329 13,550 424,860Oklahoma 3111 Animal foo2011 1,328 1 63,758 998 43,402Oklahoma 3116 Animal sla2011 8,804 1 293,969 8,034 236,688Oklahoma 3118 Bakeries an2011 3,308 4 128,071 2,626 80,285Oklahoma 3119 Other food2011 962 1 29,598 799 21,758Oklahoma 312 Beverage a2011 1,452 6 53,838 481 17,201Oklahoma 3121 Beverage m2011 1,452 6 53,838 481 17,201Oklahoma 321 Wood prod2011 1,636 6 56,311 1,333 40,193Oklahoma 3219 Other wood2011 982 8 28,376 786 19,488Oklahoma 322 Paper manu2011 3,269 2 198,219 2,661 146,390Oklahoma 3221 Pulp, paper2011 1,966 1 135,707 1,633 107,542Oklahoma 3222 Converted 2011 1,303 6 62,512 1,028 38,848Oklahoma 323 Printing an2011 3,514 4 131,073 2,447 87,044Oklahoma 3231 Printing an2011 3,514 4 131,073 2,447 87,044Oklahoma 324 Petroleum 2011 2,791 1 238,105 1,951 149,234Oklahoma 3241 Petroleum 2011 2,791 1 238,105 1,951 149,234Oklahoma 325 Chemical m2011 3,562 8 207,480 2,179 105,269Oklahoma 326 Plastics a 2011 10,164 3 474,862 8,498 356,540Oklahoma 3261 Plastics p 2011 5,000 7 194,771 4,005 125,513Oklahoma 3262 Rubber pro2011 5,163 1 280,091 4,493 231,027Oklahoma 327 Nonmetalli2011 7,493 9 283,030 6,248 217,045Oklahoma 3271 Clay produ2011 1,104 2 45,930 933 34,999Oklahoma 3272 Glass and 2011 1,393 17 72,294 1,171 58,997Oklahoma 3273 Cement and2011 4,220 15 127,059 3,485 94,813Oklahoma 331 Primary me2011 4,754 1 226,141 3,950 171,073Oklahoma 3312 Steel prod 2011 1,410 1 74,667 1,127 48,477Oklahoma 3315 Foundries 2011 1,743 4 63,509 1,456 51,217Oklahoma 332 Fabricated2011 21,397 3 1,111,637 15,917 681,704Oklahoma 3323 Architectur2011 4,962 10 242,285 3,571 143,066Oklahoma 3324 Boiler, tan 2011 4,676 6 297,693 3,369 171,848Oklahoma 3327 Machine sh2011 4,220 9 209,520 3,399 145,752Oklahoma 3328 Coating, en2011 1,382 9 62,415 1,097 41,452Oklahoma 3329 Other fabr 2011 4,547 2 231,548 3,322 140,748

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Oklahoma 333 Machinery 2011 24,366 1 1,208,939 16,411 677,008Oklahoma 3331 Agricultur 2011 7,731 3 372,553 5,596 230,350Oklahoma 3332 Industrial 2011 1,940 3 133,035 977 43,908Oklahoma 3333 Commercial2011 1,043 5 59,124 448 18,921Oklahoma 3334 Ventilation2011 5,078 1 197,204 3,757 122,659Oklahoma 3339 Other gene2011 7,083 2 373,546 4,557 215,886Oklahoma 334 Computer a2011 3,079 7 175,857 1,778 65,806Oklahoma 3344 Semiconduc2011 1,181 9 51,974 774 23,859Oklahoma 3345 Navigation2011 1,128 18 83,485 534 24,811Oklahoma 335 Electrical 2011 3,323 4 144,310 2,565 89,937Oklahoma 3352 Household 2011 f S D D DOklahoma 3353 Electrical 2011 1,846 7 89,159 1,417 53,398Oklahoma 336 Transporta2011 11,686 2 617,128 8,590 430,274Oklahoma 3361 Motor vehi2011 970 1 40,528 D DOklahoma 3362 Motor vehi2011 2,149 6 82,364 1,737 60,994Oklahoma 3363 Motor vehi2011 2,569 2 107,093 1,750 60,731Oklahoma 3364 Aerospace 2011 5,589 3 371,164 4,003 268,615Oklahoma 337 Furniture 2011 1,646 15 58,284 1,334 41,826Oklahoma 3371 Household a2011 1,023 14 34,058 778 19,812Oklahoma 339 Miscellane2011 4,232 1 162,459 2,875 88,678Oklahoma 3399 Other misc2011 3,429 1 126,543 2,391 69,308Oregon 31-33 Manufactur2011 128,817 4 6,512,739 91,369 3,663,640Oregon 311 Food manuf2011 19,481 3 737,521 14,479 458,017Oregon 3114 Fruit and v2011 7,671 2 264,284 6,390 195,139Oregon 3115 Dairy prod2011 2,377 1 104,138 1,652 60,009Oregon 3116 Animal sla2011 1,509 13 49,759 1,135 32,593Oregon 3118 Bakeries an2011 4,459 8 183,259 2,716 86,141Oregon 3119 Other food2011 1,740 6 73,154 1,165 39,480Oregon 312 Beverage a2011 2,553 4 98,759 1,183 45,784Oregon 3121 Beverage m2011 2,553 4 98,759 1,183 45,784Oregon 321 Wood prod2011 16,739 8 695,616 14,282 529,599Oregon 3211 Sawmills a 2011 4,223 28 214,599 3,549 162,730Oregon 3212 Veneer, pl 2011 6,713 7 280,672 5,976 219,678Oregon 3219 Other wood2011 5,802 7 200,345 4,757 147,191Oregon 322 Paper manu2011 4,128 6 278,272 3,286 195,689Oregon 3221 Pulp, paper2011 2,719 1 203,238 2,214 151,146Oregon 3222 Converted 2011 1,409 17 75,034 1,072 44,543Oregon 323 Printing an2011 5,574 18 216,772 3,384 115,675Oregon 3231 Printing an2011 5,574 18 216,772 3,384 115,675Oregon 325 Chemical m2011 3,851 3 218,294 2,521 105,651Oregon 3259 Other chem2011 1,158 7 57,725 851 32,862Oregon 326 Plastics a 2011 3,854 30 190,510 2,939 124,130Oregon 3261 Plastics p 2011 4,030 17 161,215 3,272 103,076Oregon 327 Nonmetalli2011 3,640 18 179,638 2,810 124,312Oregon 3273 Cement and2011 1,670 11 70,215 1,193 44,146Oregon 331 Primary me2011 7,431 1 474,071 5,356 292,873Oregon 3311 Iron and st2011 f S D D DOregon 3314 Nonferrous2011 g S D D D

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Oregon 3315 Foundries 2011 4,705 1 294,885 3,574 181,742Oregon 332 Fabricated2011 14,494 6 677,313 10,992 439,136Oregon 3322 Cutlery an 2011 2,341 3 113,998 1,760 67,184Oregon 3323 Architectur2011 3,900 7 187,647 2,927 120,371Oregon 3326 Spring and2011 971 15 38,977 775 27,557Oregon 3327 Machine sh2011 3,532 5 166,730 2,652 114,414Oregon 3328 Coating, en2011 1,171 14 53,694 897 34,840Oregon 3329 Other fabr 2011 1,151 (s) 73 (s) 53,878 (s) 957 (s) 37,896 (s)Oregon 333 Machinery 2011 10,897 4 753,860 6,143 313,389Oregon 3331 Agricultur 2011 1,614 2 76,681 990 39,700Oregon 3332 Industrial 2011 2,880 12 275,280 1,124 68,011Oregon 3333 Commercial2011 1,207 1 61,213 754 29,867Oregon 3339 Other gene2011 3,084 5 229,886 1,779 107,099Oregon 334 Computer a2011 12,442 32 909,864 6,651 273,067Oregon 3341 Computer a2011 2,014 1 153,275 826 23,445Oregon 3344 Semiconduc2011 8,359 3 552,269 5,502 253,883Oregon 3345 Navigation2011 4,998 4 409,486 1,447 64,077Oregon 335 Electrical 2011 1,664 1 86,986 1,082 43,657Oregon 336 Transporta2011 8,530 4 438,441 6,206 285,943Oregon 3361 Motor vehi2011 g S D D DOregon 3362 Motor vehi2011 2,087 12 80,330 1,669 57,036Oregon 3363 Motor vehi2011 1,412 2 71,730 853 24,997Oregon 3364 Aerospace 2011 2,259 2 162,506 1,601 112,732Oregon 337 Furniture 2011 3,924 8 136,057 3,045 89,432Oregon 3371 Household a2011 2,296 14 71,747 1,864 51,301Oregon 3372 Office furn2011 1,248 2 49,329 900 28,126Oregon 339 Miscellane2011 7,035 10 329,056 4,907 159,747Oregon 3391 Medical eq2011 3,185 4 187,843 1,961 78,658Oregon 3399 Other misc2011 3,849 17 141,213 2,947 81,088Pennsylvan31-33 Manufactur2011 528,602 1 27,100,080 370,435 15,742,816Pennsylvan311 Food manuf2011 65,286 1 2,748,183 48,813 1,803,185Pennsylvan3111 Animal foo2011 3,147 2 149,277 2,100 93,244Pennsylvan3112 Grain and o2011 g S D D DPennsylvan3113 Sugar and 2011 9,228 3 413,803 6,928 303,089Pennsylvan3114 Fruit and v2011 6,093 6 260,044 5,113 198,846Pennsylvan3115 Dairy prod2011 6,901 2 330,012 4,587 210,363Pennsylvan3116 Animal sla2011 15,290 3 534,350 12,473 365,879Pennsylvan3118 Bakeries an2011 12,381 3 501,679 8,682 310,001Pennsylvan3119 Other food2011 10,955 3 482,140 7,945 265,280Pennsylvan312 Beverage a2011 5,137 5 264,969 3,533 168,217Pennsylvan3121 Beverage m2011 4,207 6 220,109 2,745 136,355Pennsylvan313 Textile mill2011 5,177 4 201,358 4,010 121,054Pennsylvan3132 Fabric mills2011 3,692 4 152,968 2,858 93,212Pennsylvan314 Textile pro2011 h S 122,475 2,904 69,530Pennsylvan3141 Textile furn2011 1,857 7 65,480 1,483 41,293Pennsylvan3149 Other texti2011 g S 56,995 1,421 28,237Pennsylvan315 Apparel ma2011 3,650 16 86,732 3,010 53,404Pennsylvan3152 Cut and se2011 3,205 18 73,794 2,694 46,407

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Pennsylvan321 Wood prod2011 17,577 4 598,158 13,779 392,602Pennsylvan3211 Sawmills a 2011 3,712 8 125,251 2,948 86,809Pennsylvan3212 Veneer, pl 2011 1,736 11 71,078 1,284 44,025Pennsylvan3219 Other wood2011 12,129 6 401,829 9,546 261,767Pennsylvan322 Paper manu2011 21,386 3 1,157,976 16,458 782,462Pennsylvan3221 Pulp, paper2011 5,951 3 365,579 4,663 285,900Pennsylvan3222 Converted 2011 15,435 3 792,397 11,795 496,562Pennsylvan323 Printing an2011 29,325 5 1,230,851 21,274 815,725Pennsylvan3231 Printing an2011 29,325 5 1,230,851 21,274 815,725Pennsylvan324 Petroleum 2011 5,896 2 425,023 4,268 269,392Pennsylvan3241 Petroleum 2011 5,896 2 425,023 4,268 269,392Pennsylvan325 Chemical m2011 30,957 1 2,241,804 18,759 1,002,971Pennsylvan3251 Basic chem2011 3,721 5 258,363 2,592 157,121Pennsylvan3252 Resin, synt2011 3,286 3 218,984 2,062 117,676Pennsylvan3254 Pharmaceut2011 12,359 3 1,168,582 6,202 435,605Pennsylvan3255 Paint, coa 2011 2,890 2 184,559 1,434 69,453Pennsylvan3256 Soap, clea 2011 5,073 1 185,420 4,108 108,048Pennsylvan3259 Other chem2011 3,107 2 193,538 1,990 96,494Pennsylvan326 Plastics a 2011 35,496 2 1,499,870 27,260 954,424Pennsylvan3261 Plastics p 2011 31,422 3 1,318,144 24,397 845,225Pennsylvan3262 Rubber pro2011 4,073 2 181,726 2,862 109,199Pennsylvan327 Nonmetalli2011 18,845 2 907,027 14,168 592,666Pennsylvan3271 Clay produ2011 2,517 5 132,221 1,822 82,014Pennsylvan3272 Glass and 2011 5,210 5 256,484 4,132 172,243Pennsylvan3273 Cement and2011 7,741 4 339,266 5,782 226,963Pennsylvan3279 Other nonm2011 2,808 7 149,071 1,954 87,757Pennsylvan331 Primary me2011 38,361 1 2,324,484 29,877 1,667,283Pennsylvan3311 Iron and st2011 17,107 1 1,232,213 13,192 903,667Pennsylvan3312 Steel prod 2011 3,881 2 205,086 2,998 138,806Pennsylvan3313 Alumina an2011 2,369 1 138,456 1,922 108,308Pennsylvan3314 Nonferrous2011 6,362 7 354,416 4,732 239,760Pennsylvan3315 Foundries 2011 8,641 3 394,313 7,034 276,743Pennsylvan332 Fabricated2011 71,845 2 3,476,572 52,275 2,139,987Pennsylvan3321 Forging an2011 10,729 2 510,744 8,015 324,983Pennsylvan3322 Cutlery an 2011 1,968 5 83,835 1,532 52,516Pennsylvan3323 Architectur2011 17,223 4 802,147 12,358 499,291Pennsylvan3324 Boiler, tan 2011 4,351 2 231,025 3,034 137,862Pennsylvan3326 Spring and2011 2,920 4 127,532 2,272 84,164Pennsylvan3327 Machine sh2011 18,134 6 902,788 13,605 582,018Pennsylvan3328 Coating, en2011 4,941 9 223,985 3,674 140,076Pennsylvan3329 Other fabr 2011 10,732 7 546,748 7,297 299,705Pennsylvan333 Machinery 2011 48,960 2 2,797,757 30,564 1,406,676Pennsylvan3331 Agricultur 2011 8,796 5 520,856 5,837 280,890Pennsylvan3332 Industrial 2011 6,103 2 386,241 2,914 139,959Pennsylvan3333 Commercial2011 2,885 6 156,159 1,698 80,627Pennsylvan3334 Ventilation2011 4,872 5 249,547 2,971 132,304Pennsylvan3335 Metalworki2011 8,951 7 486,565 6,605 317,101Pennsylvan3336 Engine, tu 2011 2,018 12 114,416 1,340 54,098Pennsylvan3339 Other gene2011 15,334 2 883,971 9,198 401,698

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Pennsylvan334 Computer a2011 28,047 8 1,746,221 13,636 528,095Pennsylvan3341 Computer a2011 2,105 1 153,457 916 41,924Pennsylvan3342 Communica2011 2,939 21 200,060 1,205 53,807Pennsylvan3344 Semiconduc2011 7,401 24 334,849 5,142 180,501Pennsylvan3345 Navigation2011 14,500 9 1,027,221 5,641 232,643Pennsylvan3346 Manufactur2011 1,007 1 25,281 680 17,940Pennsylvan335 Electrical 2011 23,414 3 1,225,830 15,693 697,206Pennsylvan3351 Electric li 2011 2,301 9 118,114 1,680 70,137Pennsylvan3353 Electrical 2011 5,147 3 277,887 3,078 132,938Pennsylvan3359 Other elec 2011 15,119 4 796,585 10,308 472,362Pennsylvan336 Transporta2011 35,000 2 2,155,189 24,382 1,373,541Pennsylvan3361 Motor vehi2011 g S D D DPennsylvan3362 Motor vehi2011 5,048 4 193,748 4,074 139,823Pennsylvan3363 Motor vehi2011 7,062 9 303,372 5,341 177,230Pennsylvan3364 Aerospace 2011 6,144 8 568,726 4,177 400,003Pennsylvan3365 Railroad ro2011 10,984 2 700,279 6,972 431,434Pennsylvan3366 Ship and bo2011 g S D D DPennsylvan3369 Other tran2011 3,307 1 234,951 1,889 111,197Pennsylvan337 Furniture 2011 14,836 6 636,116 9,737 328,005Pennsylvan3371 Household a2011 8,354 11 313,737 5,819 181,401Pennsylvan3372 Office furn2011 4,906 4 264,439 2,898 114,223Pennsylvan3379 Other furn2011 1,576 5 57,940 1,020 32,382Pennsylvan339 Miscellane2011 24,940 5 1,227,085 15,404 560,656Pennsylvan3391 Medical eq2011 12,061 5 617,732 7,363 264,286Pennsylvan3399 Other misc2011 12,879 9 609,353 8,040 296,370Rhode Isla 31-33 Manufactur2011 35,635 3 1,981,882 23,079 976,135Rhode Isla 311 Food manuf2011 2,152 9 80,608 1,412 45,689Rhode Isla 3118 Bakeries an2011 1,071 17 38,369 596 20,463Rhode Isla 313 Textile mill2011 1,380 15 62,539 1,025 38,898Rhode Isla 323 Printing an2011 1,900 13 93,444 1,115 36,225Rhode Isla 3231 Printing an2011 1,900 13 93,444 1,115 36,225Rhode Isla 325 Chemical m2011 2,814 1 237,682 1,780 145,957Rhode Isla 3254 Pharmaceut2011 1,160 1 116,002 778 DRhode Isla 326 Plastics a 2011 2,770 8 147,883 1,851 73,277Rhode Isla 3261 Plastics p 2011 2,669 8 143,201 1,771 70,641Rhode Isla 332 Fabricated2011 7,382 6 383,073 5,583 244,727Rhode Isla 3323 Architectur2011 2,783 8 166,021 2,289 119,208Rhode Isla 3327 Machine sh2011 1,544 6 69,852 1,212 41,999Rhode Isla 3328 Coating, en2011 1,021 37 46,455 682 (s) 27,395Rhode Isla 333 Machinery 2011 2,341 6 129,409 1,501 64,665Rhode Isla 3339 Other gene2011 999 1 61,298 597 25,896Rhode Isla 334 Computer a2011 3,120 5 226,909 1,279 47,798Rhode Isla 3345 Navigation2011 2,212 7 174,897 798 31,260Rhode Isla 337 Furniture 2011 1,296 6 61,307 903 30,702Rhode Isla 339 Miscellane2011 5,660 14 308,713 3,289 122,689Rhode Isla 3391 Medical eq2011 1,859 1 128,646 1,006 33,010Rhode Isla 3399 Other misc2011 3,802 21 180,067 2,283 89,678South Caro31-33 Manufactur2011 194,228 1 9,381,969 146,437 6,059,835

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South Caro311 Food manuf2011 16,876 2 532,278 14,318 394,726South Caro3114 Fruit and v2011 1,403 1 54,360 1,234 45,277South Caro3116 Animal sla2011 11,305 1 298,673 10,034 241,016South Caro3118 Bakeries an2011 1,948 20 90,666 1,398 51,923South Caro3119 Other food2011 1,238 1 41,900 1,032 29,024South Caro313 Textile mill2011 14,088 4 496,242 12,062 366,018South Caro3131 Fiber, yarn2011 2,970 1 97,817 2,684 80,914South Caro3132 Fabric mills2011 7,457 4 263,496 6,384 192,989South Caro3133 Textile and2011 3,661 15 134,929 2,995 92,115South Caro314 Textile pro2011 3,739 24 108,305 2,772 66,932South Caro3141 Textile furn2011 2,601 9 64,996 2,004 41,343South Caro3149 Other texti2011 1,139 (s) 75 (s) 43,309 S 25,590 (s)South Caro315 Apparel ma2011 1,005 4 20,610 878 14,415South Caro3152 Cut and se2011 952 4 19,125 839 13,612South Caro321 Wood prod2011 6,040 9 254,096 5,120 184,055South Caro3211 Sawmills a 2011 2,298 4 90,959 1,947 69,137South Caro3212 Veneer, pl 2011 1,835 13 82,828 1,533 62,378South Caro3219 Other wood2011 1,907 25 80,309 1,641 52,540South Caro322 Paper manu2011 11,307 2 683,268 8,922 487,510South Caro3221 Pulp, paper2011 5,476 1 396,557 4,211 307,391South Caro3222 Converted 2011 5,831 4 286,711 4,711 180,119South Caro323 Printing an2011 3,645 12 149,304 2,575 100,937South Caro3231 Printing an2011 3,645 12 149,304 2,575 100,937South Caro325 Chemical m2011 18,158 1 1,085,506 12,584 645,046South Caro3251 Basic chem2011 4,549 3 325,339 2,862 169,143South Caro3252 Resin, synt2011 6,388 1 329,372 5,028 239,816South Caro3254 Pharmaceut2011 3,078 1 177,781 2,040 88,070South Caro3259 Other chem2011 2,260 2 139,860 1,390 88,130South Caro326 Plastics a 2011 17,937 3 881,616 13,986 631,128South Caro3261 Plastics p 2011 11,622 4 529,372 8,620 356,986South Caro3262 Rubber pro2011 6,316 7 352,244 5,366 274,143South Caro327 Nonmetalli2011 5,400 9 246,254 4,123 164,445South Caro3271 Clay produ2011 1,045 1 47,211 782 29,931South Caro3272 Glass and 2011 1,279 1 65,379 961 43,829South Caro3273 Cement and2011 2,553 19 111,483 2,016 76,976South Caro331 Primary me2011 5,015 1 325,076 4,086 252,838South Caro3311 Iron and st2011 2,187 1 167,816 1,858 141,820South Caro332 Fabricated2011 20,559 4 977,622 15,307 627,194South Caro3323 Architectur2011 3,195 7 142,877 2,195 81,482South Caro3327 Machine sh2011 4,007 8 202,363 2,881 140,287South Caro3328 Coating, en2011 1,149 22 62,049 647 (s) 31,278South Caro3329 Other fabr 2011 9,244 7 421,850 7,390 279,256South Caro333 Machinery 2011 19,121 1 889,781 12,276 441,251South Caro3331 Agricultur 2011 2,950 1 79,716 1,949 25,756South Caro3332 Industrial 2011 1,666 1 93,751 1,011 44,852South Caro3333 Commercial2011 1,352 1 72,852 761 30,369South Caro3334 Ventilation2011 1,732 4 76,289 1,185 38,816South Caro3335 Metalworki2011 2,387 5 120,474 1,769 79,618

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South Caro3336 Engine, tu 2011 5,314 1 247,235 3,162 125,535South Caro3339 Other gene2011 3,720 5 199,464 2,439 96,305South Caro334 Computer a2011 5,239 1 282,430 3,151 141,219South Caro3344 Semiconduc2011 2,327 3 105,357 1,401 46,509South Caro3345 Navigation2011 2,110 1 140,151 1,207 75,280South Caro335 Electrical 2011 8,029 2 403,029 6,256 252,141South Caro3352 Household 2011 g S D D DSouth Caro3353 Electrical 2011 2,904 5 144,457 2,236 97,489South Caro3359 Other elec 2011 3,531 1 200,473 2,584 108,836South Caro336 Transporta2011 29,396 2 1,705,808 21,932 1,092,995South Caro3361 Motor vehi2011 h S D D DSouth Caro3363 Motor vehi2011 12,910 4 629,350 9,563 367,278South Caro3364 Aerospace 2011 5,226 1 404,905 3,832 281,763South Caro3365 Railroad ro2011 1,066 1 50,733 627 24,869South Caro3366 Ship and bo2011 2,121 8 89,873 1,660 56,802South Caro3369 Other tran2011 2,436 1 173,697 1,418 65,032South Caro337 Furniture 2011 2,145 13 74,979 1,493 43,946South Caro3371 Household a2011 1,109 24 33,107 736 21,384South Caro339 Miscellane2011 5,193 2 213,029 3,863 126,572South Caro3391 Medical eq2011 2,628 4 110,175 2,116 75,962South Caro3399 Other misc2011 2,565 2 102,854 1,747 50,610South Dako31-33 Manufactur2011 38,842 2 1,619,071 28,348 1,018,125South Dako311 Food manuf2011 7,831 4 298,207 6,444 225,476South Dako3115 Dairy prod2011 1,179 1 51,740 764 28,884South Dako3116 Animal sla2011 5,462 1 192,343 4,918 164,149South Dako321 Wood prod2011 951 25 40,099 750 27,530South Dako323 Printing an2011 1,426 3 58,159 1,036 39,050South Dako3231 Printing an2011 1,426 3 58,159 1,036 39,050South Dako325 Chemical m2011 1,366 1 72,953 988 45,883South Dako326 Plastics a 2011 1,716 15 66,357 1,424 41,806South Dako3261 Plastics p 2011 1,674 16 64,691 1,388 40,505South Dako327 Nonmetalli2011 1,351 6 60,572 1,024 42,949South Dako3273 Cement and2011 1,156 6 52,237 908 38,159South Dako332 Fabricated2011 3,562 6 156,233 2,487 90,272South Dako3323 Architectur2011 1,758 4 77,882 1,159 41,329South Dako333 Machinery 2011 5,844 1 249,197 4,407 159,075South Dako3331 Agricultur 2011 2,046 3 95,080 1,456 57,124South Dako3339 Other gene2011 1,761 2 78,123 1,293 46,186South Dako334 Computer a2011 2,330 1 101,731 1,126 33,115South Dako3344 Semiconduc2011 1,193 1 44,873 788 22,949South Dako3345 Navigation2011 1,123 1 56,057 332 9,930South Dako336 Transporta2011 3,410 4 147,259 2,615 96,316South Dako3362 Motor vehi2011 1,093 12 46,156 887 32,695South Dako3363 Motor vehi2011 1,399 1 62,253 1,043 37,852South Dako337 Furniture 2011 1,869 3 61,428 1,502 41,390South Dako3371 Household a2011 1,717 4 54,236 1,383 37,045South Dako339 Miscellane2011 4,034 5 171,666 2,023 85,163South Dako3399 Other misc2011 3,169 7 123,344 1,363 61,103

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Tennessee31-33 Manufactur2011 276,840 1 13,242,224 203,454 8,068,455Tennessee311 Food manuf2011 34,134 2 1,410,652 26,338 943,598Tennessee3112 Grain and o2011 1,878 1 129,690 1,369 90,398Tennessee3113 Sugar and 2011 2,598 16 110,329 2,259 90,089Tennessee3114 Fruit and v2011 3,011 1 147,579 2,574 111,012Tennessee3115 Dairy prod2011 1,718 1 80,905 983 43,509Tennessee3116 Animal sla2011 10,296 1 310,134 9,106 239,329Tennessee3118 Bakeries an2011 11,294 3 478,252 7,351 262,063Tennessee3119 Other food2011 2,854 1 126,680 2,345 90,914Tennessee312 Beverage a2011 2,879 1 158,415 2,160 110,948Tennessee3121 Beverage m2011 2,017 2 107,811 1,491 76,397Tennessee313 Textile mill2011 2,972 2 119,268 2,524 89,271Tennessee3131 Fiber, yarn2011 1,110 1 37,027 1,014 30,759Tennessee3132 Fabric mills2011 1,023 1 56,033 780 39,469Tennessee314 Textile pro2011 2,706 7 80,017 2,204 51,433Tennessee3149 Other texti2011 1,914 6 62,910 1,492 38,938Tennessee315 Apparel ma2011 3,793 8 89,481 3,056 58,523Tennessee3152 Cut and se2011 2,892 11 65,917 2,256 40,088Tennessee321 Wood prod2011 9,739 6 300,991 8,363 217,559Tennessee3211 Sawmills a 2011 1,613 24 49,245 1,706 44,366Tennessee3219 Other wood2011 7,280 6 224,808 6,029 157,094Tennessee322 Paper manu2011 10,753 4 558,331 8,532 396,589Tennessee3221 Pulp, paper2011 2,902 1 212,603 2,351 162,645Tennessee3222 Converted 2011 7,851 5 345,728 6,181 233,944Tennessee323 Printing an2011 10,638 7 471,539 7,211 272,283Tennessee3231 Printing an2011 10,638 7 471,539 7,211 272,283Tennessee324 Petroleum 2011 1,025 9 69,281 693 39,992Tennessee3241 Petroleum 2011 1,025 9 69,281 693 39,992Tennessee325 Chemical m2011 25,370 3 1,669,696 15,430 874,187Tennessee3251 Basic chem2011 13,011 1 905,609 7,100 477,588Tennessee3252 Resin, synt2011 2,200 1 131,373 1,698 85,807Tennessee3254 Pharmaceut2011 2,594 4 237,639 1,407 85,076Tennessee3256 Soap, clea 2011 2,506 4 115,162 1,840 70,119Tennessee3259 Other chem2011 4,101 13 221,812 2,764 126,275Tennessee326 Plastics a 2011 22,838 2 962,141 18,288 650,454Tennessee3261 Plastics p 2011 15,063 2 598,158 11,748 372,503Tennessee3262 Rubber pro2011 7,775 3 363,983 6,540 277,952Tennessee327 Nonmetalli2011 9,810 7 439,142 7,182 286,046Tennessee3271 Clay produ2011 959 (s) 47 (s) 40,411 625 (s) 16,622 (s)Tennessee3272 Glass and 2011 3,591 4 165,891 2,772 115,537Tennessee3273 Cement and2011 3,515 13 159,245 2,526 109,422Tennessee3279 Other nonm2011 1,527 10 62,588 1,083 37,582Tennessee331 Primary me2011 8,800 4 506,313 6,834 354,727Tennessee3311 Iron and st2011 1,416 1 110,379 1,110 79,876Tennessee3312 Steel prod 2011 1,149 12 65,111 997 53,692Tennessee3313 Alumina an2011 2,394 6 141,238 1,836 97,184Tennessee3314 Nonferrous2011 1,484 3 76,060 1,077 43,904Tennessee3315 Foundries 2011 2,357 10 113,524 1,814 80,071Tennessee332 Fabricated2011 31,262 5 1,611,216 21,487 838,846

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Tennessee3321 Forging an2011 2,586 5 111,318 1,943 76,835Tennessee3322 Cutlery an 2011 1,095 4 46,687 934 35,359Tennessee3323 Architectur2011 6,157 7 272,144 4,737 166,942Tennessee3324 Boiler, tan 2011 1,899 6 119,865 1,379 61,967Tennessee3325 Hardware m2011 1,201 1 48,260 894 23,550Tennessee3326 Spring and2011 1,411 7 51,134 1,173 36,164Tennessee3327 Machine sh2011 5,400 5 251,429 4,183 171,702Tennessee3328 Coating, en2011 2,377 8 98,288 1,994 64,249Tennessee3329 Other fabr 2011 9,137 16 612,092 4,249 202,078Tennessee333 Machinery 2011 21,941 2 999,822 16,057 600,751Tennessee3331 Agricultur 2011 4,257 6 205,617 2,839 118,027Tennessee3332 Industrial 2011 1,087 6 54,799 751 30,459Tennessee3334 Ventilation2011 6,988 4 283,301 5,714 187,112Tennessee3335 Metalworki2011 3,572 9 159,749 2,652 102,728Tennessee3336 Engine, tu 2011 1,194 1 61,653 850 31,419Tennessee3339 Other gene2011 4,037 6 193,438 2,734 110,846Tennessee334 Computer a2011 5,682 5 313,930 3,291 127,730Tennessee3344 Semiconduc2011 2,377 7 116,739 1,545 56,659Tennessee3345 Navigation2011 2,231 11 141,134 1,318 53,549Tennessee335 Electrical 2011 13,495 1 514,354 10,811 350,091Tennessee3352 Household 2011 7,399 1 250,253 6,315 192,067Tennessee3353 Electrical 2011 2,579 6 117,108 1,941 70,552Tennessee3359 Other elec 2011 2,717 3 114,245 2,010 70,544Tennessee336 Transporta2011 36,735 5 1,995,790 27,564 1,326,995Tennessee3361 Motor vehi2011 5,755 1 521,628 3,902 292,143Tennessee3362 Motor vehi2011 1,586 9 64,902 1,263 43,428Tennessee3363 Motor vehi2011 24,603 8 1,156,328 18,776 831,597Tennessee3364 Aerospace 2011 1,661 1 122,435 1,150 71,928Tennessee3366 Ship and bo2011 2,517 1 100,496 2,035 70,047Tennessee337 Furniture 2011 8,358 8 284,236 6,425 196,878Tennessee3371 Household a2011 5,353 11 179,066 4,229 129,836Tennessee3372 Office furn2011 2,319 10 84,411 1,622 52,491Tennessee339 Miscellane2011 13,184 5 662,444 8,479 268,900Tennessee3391 Medical eq2011 7,953 8 446,544 4,468 135,201Tennessee3399 Other misc2011 5,231 2 215,901 4,011 133,699Texas 31-33 Manufactur2011 697,308 1 38,344,789 486,411 21,830,211Texas 311 Food manuf2011 83,313 1 3,007,069 66,466 2,090,247Texas 3111 Animal foo2011 2,876 3 122,901 2,093 75,713Texas 3112 Grain and o2011 2,093 3 99,167 1,652 69,962Texas 3113 Sugar and 2011 2,541 8 85,579 1,749 56,933Texas 3114 Fruit and v2011 6,810 2 254,757 5,739 193,623Texas 3115 Dairy prod2011 6,896 1 305,593 4,015 157,284Texas 3116 Animal sla2011 39,227 2 1,260,520 34,470 1,002,612Texas 3117 Seafood pr2011 1,170 5 28,519 950 18,366Texas 3118 Bakeries an2011 15,041 5 524,831 10,889 333,984Texas 3119 Other food2011 6,659 1 325,203 4,910 181,770Texas 312 Beverage a2011 8,186 2 425,372 5,287 260,944Texas 3121 Beverage m2011 i S D D D

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Texas 313 Textile mill2011 2,708 1 92,128 2,206 62,639Texas 3132 Fabric mills2011 2,149 1 71,792 1,831 52,743Texas 314 Textile pro2011 4,595 12 135,760 3,256 71,913Texas 3141 Textile furn2011 1,799 16 45,113 1,380 27,432Texas 3149 Other texti2011 2,796 17 90,646 1,877 44,482Texas 315 Apparel ma2011 2,429 20 69,788 1,777 42,427Texas 3152 Cut and se2011 1,476 33 43,588 1,095 (s) 26,824Texas 316 Leather an2011 2,525 1 85,903 1,892 51,338Texas 3162 Footwear m2011 1,600 1 57,705 1,177 35,171Texas 321 Wood prod2011 18,399 4 615,913 14,871 431,830Texas 3211 Sawmills a 2011 2,624 12 114,737 2,277 87,948Texas 3212 Veneer, pl 2011 2,746 8 104,431 2,232 72,959Texas 3219 Other wood2011 13,030 6 396,745 10,363 270,923Texas 322 Paper manu2011 13,964 3 710,506 10,315 458,602Texas 3221 Pulp, paper2011 2,453 1 181,770 1,819 131,171Texas 3222 Converted 2011 11,511 3 528,736 8,496 327,431Texas 323 Printing an2011 23,128 5 1,039,572 16,610 596,594Texas 3231 Printing an2011 23,128 5 1,039,572 16,610 596,594Texas 324 Petroleum 2011 20,921 1 2,091,959 13,410 1,225,790Texas 3241 Petroleum 2011 20,921 1 2,091,959 13,410 1,225,790Texas 325 Chemical m2011 60,720 2 5,124,654 38,356 2,846,901Texas 3251 Basic chem2011 23,386 1 2,213,457 14,871 1,316,190Texas 3252 Resin, synt2011 15,443 1 1,548,293 9,405 805,007Texas 3253 Pesticide, 2011 1,532 11 104,605 940 58,726Texas 3254 Pharmaceut2011 5,888 1 348,716 4,021 204,185Texas 3255 Paint, coa 2011 4,588 6 248,936 3,123 131,022Texas 3256 Soap, clea 2011 3,487 22 243,411 2,143 121,475Texas 3259 Other chem2011 6,397 16 417,235 3,852 210,295Texas 326 Plastics a 2011 38,698 3 1,587,785 30,398 1,028,569Texas 3261 Plastics p 2011 36,007 2 1,479,426 28,193 970,485Texas 3262 Rubber pro2011 2,691 22 108,359 2,204 58,084Texas 327 Nonmetalli2011 26,170 4 1,197,583 20,776 842,734Texas 3271 Clay produ2011 2,890 11 114,838 2,461 88,540Texas 3272 Glass and 2011 3,041 2 146,601 2,518 99,876Texas 3273 Cement and2011 14,009 7 635,159 11,276 461,363Texas 3274 Lime and g2011 1,165 1 61,106 941 45,197Texas 3279 Other nonm2011 5,066 7 239,879 3,580 147,758Texas 331 Primary me2011 19,277 2 1,044,649 15,876 745,538Texas 3311 Iron and st2011 3,704 8 238,116 3,215 190,300Texas 3312 Steel prod 2011 4,062 7 230,623 3,378 167,916Texas 3313 Alumina an2011 2,880 4 139,928 2,348 97,702Texas 3314 Nonferrous2011 2,680 1 145,752 2,040 90,605Texas 3315 Foundries 2011 5,951 4 290,231 4,895 199,014Texas 332 Fabricated2011 106,701 2 5,348,772 81,659 3,456,325Texas 3321 Forging an2011 7,077 3 367,462 5,245 227,975Texas 3322 Cutlery an 2011 1,389 5 60,704 1,131 40,693Texas 3323 Architectur2011 29,508 4 1,408,993 21,945 854,305Texas 3324 Boiler, tan 2011 7,228 5 399,365 5,682 277,101

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Texas 3326 Spring and2011 2,756 6 109,547 2,207 66,518Texas 3327 Machine sh2011 25,101 4 1,321,303 19,559 916,841Texas 3328 Coating, en2011 9,433 4 443,842 7,684 295,564Texas 3329 Other fabr 2011 23,616 5 1,210,879 17,708 759,377Texas 333 Machinery 2011 69,433 5 4,390,863 44,651 2,236,731Texas 3331 Agricultur 2011 27,352 11 1,943,967 17,590 1,026,429Texas 3332 Industrial 2011 3,745 3 347,349 2,139 115,410Texas 3333 Commercial2011 2,455 9 132,557 1,300 55,248Texas 3334 Ventilation2011 10,028 3 446,364 6,722 231,526Texas 3335 Metalworki2011 3,043 5 145,890 2,186 89,853Texas 3336 Engine, tu 2011 4,758 4 316,515 3,012 168,587Texas 3339 Other gene2011 18,052 2 1,058,222 11,701 549,678Texas 334 Computer a2011 56,419 5 3,957,863 29,043 1,528,063Texas 3341 Computer a2011 4,206 (s) 54 (s) 264,858 (s) 1,410 (s) 75,635 (s)Texas 3342 Communica2011 6,315 17 475,282 3,270 206,899Texas 3344 Semiconduc2011 18,760 4 1,085,528 12,971 606,812Texas 3345 Navigation2011 26,496 3 2,104,703 10,987 624,881Texas 335 Electrical 2011 15,633 8 830,679 9,534 377,468Texas 3351 Electric li 2011 1,421 22 61,434 984 29,992Texas 3353 Electrical 2011 8,176 2 470,564 4,569 199,079Texas 3359 Other elec 2011 5,167 25 269,438 3,300 129,997Texas 336 Transporta2011 74,756 2 4,566,239 45,264 2,432,145Texas 3361 Motor vehi2011 6,879 1 463,439 6,171 382,225Texas 3362 Motor vehi2011 6,712 6 260,111 5,243 184,741Texas 3363 Motor vehi2011 11,238 8 518,004 8,477 312,301Texas 3364 Aerospace 2011 43,461 2 3,007,822 20,749 1,359,443Texas 3365 Railroad ro2011 1,661 1 55,127 1,446 DTexas 3366 Ship and bo2011 3,154 1 160,724 2,463 109,898Texas 3369 Other tran2011 1,650 1 101,011 715 DTexas 337 Furniture 2011 18,756 7 669,637 13,773 373,095Texas 3371 Household a2011 11,128 8 362,867 8,275 213,404Texas 3372 Office furn2011 4,411 19 206,676 2,971 98,067Texas 3379 Other furn2011 3,217 11 100,094 2,527 61,624Texas 339 Miscellane2011 30,575 2 1,352,097 20,992 670,317Texas 3391 Medical eq2011 12,223 4 610,936 8,560 295,168Texas 3399 Other misc2011 18,352 3 741,161 12,432 375,150Utah 31-33 Manufactur2011 99,914 2 5,245,059 65,167 2,718,991Utah 311 Food manuf2011 14,090 2 572,768 10,844 394,851Utah 3114 Fruit and v2011 2,183 1 88,288 1,926 74,929Utah 3115 Dairy prod2011 3,360 1 153,431 2,484 108,863Utah 3116 Animal sla2011 1,822 1 62,037 1,447 46,398Utah 3118 Bakeries an2011 3,561 6 139,423 2,356 69,320Utah 321 Wood prod2011 1,317 34 42,112 1,275 30,948Utah 322 Paper manu2011 2,043 32 108,961 1,738 82,892Utah 3222 Converted 2011 g S D D DUtah 323 Printing an2011 3,886 15 158,390 2,425 90,479Utah 3231 Printing an2011 3,886 15 158,390 2,425 90,479Utah 324 Petroleum 2011 1,063 1 100,482 698 64,459

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Utah 3241 Petroleum 2011 1,063 1 100,482 698 64,459Utah 325 Chemical m2011 6,645 6 364,266 3,722 164,855Utah 3254 Pharmaceut2011 3,909 10 215,572 1,839 76,785Utah 3256 Soap, clea 2011 1,289 1 63,860 917 38,400Utah 326 Plastics a 2011 4,630 5 177,137 3,458 107,116Utah 3261 Plastics p 2011 4,249 5 159,642 3,198 96,340Utah 327 Nonmetalli2011 3,385 6 149,691 2,513 102,976Utah 3273 Cement and2011 1,552 12 68,858 1,091 46,541Utah 3279 Other nonm2011 1,398 5 59,780 1,104 43,136Utah 331 Primary me2011 3,870 1 223,710 2,622 151,682Utah 3314 Nonferrous2011 1,962 1 130,194 1,194 78,327Utah 332 Fabricated2011 10,196 5 496,581 6,913 286,543Utah 3323 Architectur2011 3,696 13 184,781 2,446 96,923Utah 3327 Machine sh2011 2,773 3 136,759 1,974 83,286Utah 3329 Other fabr 2011 2,171 3 99,936 1,548 64,863Utah 333 Machinery 2011 5,226 4 319,075 3,040 134,658Utah 3333 Commercial2011 1,137 1 72,241 351 15,889Utah 3339 Other gene2011 1,607 11 122,056 887 40,863Utah 334 Computer a2011 15,535 1 1,091,441 7,334 372,341Utah 3344 Semiconduc2011 3,620 5 225,959 2,823 162,430Utah 3345 Navigation2011 10,158 1 760,441 3,792 182,696Utah 335 Electrical 2011 1,281 1 65,939 893 36,677Utah 336 Transporta2011 9,179 3 616,470 6,071 305,922Utah 3362 Motor vehi2011 1,271 9 49,319 1,110 38,528Utah 3363 Motor vehi2011 3,337 9 173,378 3,013 158,520Utah 3364 Aerospace 2011 4,370 1 381,029 D DUtah 337 Furniture 2011 4,058 20 146,619 2,885 90,876Utah 3371 Household a2011 2,529 32 81,328 (s) 1,836 57,741 (s)Utah 339 Miscellane2011 11,544 11 537,909 7,495 264,808Utah 3391 Medical eq2011 4,976 25 305,434 2,957 138,801Utah 3399 Other misc2011 6,568 3 232,475 4,538 126,007Vermont 31-33 Manufactur2011 27,948 3 1,532,557 18,019 744,434Vermont 311 Food manuf2011 4,010 3 194,421 2,979 126,617Vermont 3115 Dairy prod2011 1,464 1 70,246 1,215 53,493Vermont 3119 Other food2011 1,207 1 75,867 840 DVermont 321 Wood prod2011 1,588 8 54,671 1,238 35,673Vermont 3219 Other wood2011 951 5 29,908 768 20,661Vermont 323 Printing an2011 953 5 39,643 676 25,057Vermont 3231 Printing an2011 953 5 39,643 676 25,057Vermont 325 Chemical m2011 1,054 1 53,776 681 26,413Vermont 326 Plastics a 2011 987 11 41,550 931 25,236Vermont 327 Nonmetalli2011 1,306 11 62,097 980 38,424Vermont 332 Fabricated2011 1,441 32 81,871 1,051 (s) 51,834Vermont 333 Machinery 2011 2,763 1 151,166 1,710 69,746Vermont 3335 Metalworki2011 1,255 2 66,508 893 36,778Vermont 334 Computer a2011 7,505 1 535,587 3,111 143,841Vermont 3344 Semiconduc2011 5,601 1 D D DVermont 3345 Navigation2011 1,843 1 D 594 D

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Vermont 335 Electrical 2011 1,370 1 65,119 998 38,018Vermont 3359 Other elec 2011 953 1 47,064 694 28,008Vermont 336 Transporta2011 1,679 1 111,365 1,317 80,082Vermont 3364 Aerospace 2011 g S D D DVermont 339 Miscellane2011 967 (s) 56 (s) 44,789 (s) 544 (s) 20,340 (s)Virginia 31-33 Manufactur2011 221,558 1 11,187,932 157,297 6,491,779Virginia 311 Food manuf2011 24,779 2 949,727 20,344 669,237Virginia 3113 Sugar and 2011 1,052 1 D 965 DVirginia 3114 Fruit and v2011 1,417 1 49,526 1,153 38,091Virginia 3115 Dairy prod2011 2,170 1 123,025 1,495 75,610Virginia 3116 Animal sla2011 13,267 1 405,730 11,497 312,598Virginia 3118 Bakeries an2011 3,113 15 143,998 2,202 90,251Virginia 3119 Other food2011 2,027 14 103,547 1,662 65,673Virginia 312 Beverage a2011 6,252 2 417,023 4,638 268,856Virginia 3121 Beverage m2011 h S D D DVirginia 3122 Tobacco ma2011 h S D D DVirginia 313 Textile mill2011 5,449 3 182,100 4,103 117,356Virginia 3131 Fiber, yarn2011 1,088 1 33,009 1,000 27,905Virginia 3132 Fabric mills2011 3,731 5 126,686 2,615 74,676Virginia 314 Textile pro2011 2,955 10 94,995 2,606 67,389Virginia 3141 Textile furn2011 1,667 15 51,360 1,406 37,424Virginia 3149 Other texti2011 1,288 13 43,636 1,200 29,965Virginia 315 Apparel ma2011 978 1 21,778 821 14,315Virginia 321 Wood prod2011 12,424 8 439,154 10,259 309,969Virginia 3211 Sawmills a 2011 3,702 5 140,230 3,141 100,901Virginia 3212 Veneer, pl 2011 2,145 37 83,906 1,553 (s) 53,380 (s)Virginia 3219 Other wood2011 6,578 8 215,018 5,565 155,688Virginia 322 Paper manu2011 6,871 2 395,312 5,325 270,024Virginia 3221 Pulp, paper2011 2,389 1 174,735 1,901 129,951Virginia 3222 Converted 2011 4,482 3 220,577 3,424 140,073Virginia 323 Printing an2011 12,535 5 547,738 9,408 357,743Virginia 3231 Printing an2011 12,535 5 547,738 9,408 357,743Virginia 325 Chemical m2011 12,459 7 852,010 8,731 488,622Virginia 3251 Basic chem2011 1,596 1 130,133 1,136 87,708Virginia 3252 Resin, synt2011 1,935 (s) 45 (s) 131,952 1,708 90,840Virginia 3254 Pharmaceut2011 2,629 2 224,241 1,784 127,666Virginia 3256 Soap, clea 2011 1,349 1 68,003 874 26,820Virginia 3259 Other chem2011 3,858 1 239,810 2,564 122,707Virginia 326 Plastics a 2011 17,225 2 807,441 13,395 554,869Virginia 3261 Plastics p 2011 12,039 3 542,425 9,268 355,257Virginia 3262 Rubber pro2011 5,187 3 265,016 4,127 199,612Virginia 327 Nonmetalli2011 9,089 5 410,705 6,934 269,986Virginia 3272 Glass and 2011 1,245 18 55,336 1,013 40,133Virginia 3273 Cement and2011 4,907 7 212,902 3,766 140,371Virginia 3279 Other nonm2011 1,516 10 76,904 1,059 46,392Virginia 331 Primary me2011 4,631 1 254,628 3,767 186,938Virginia 3311 Iron and st2011 1,358 1 94,520 1,099 72,429Virginia 3315 Foundries 2011 1,554 1 76,944 1,267 57,079

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Virginia 332 Fabricated2011 18,078 4 903,990 12,839 538,782Virginia 3323 Architectur2011 6,104 9 271,065 4,179 159,477Virginia 3324 Boiler, tan 2011 3,983 1 270,658 2,471 139,822Virginia 3327 Machine sh2011 3,648 9 168,691 2,877 115,414Virginia 3329 Other fabr 2011 2,058 6 87,988 1,713 63,949Virginia 333 Machinery 2011 16,414 4 881,025 11,288 493,548Virginia 3331 Agricultur 2011 4,698 11 246,926 3,203 140,986Virginia 3332 Industrial 2011 1,277 12 70,109 603 28,698Virginia 3334 Ventilation2011 4,053 1 170,038 3,291 123,319Virginia 3339 Other gene2011 4,051 6 229,224 2,794 120,381Virginia 334 Computer a2011 11,865 8 924,438 5,374 308,609Virginia 3342 Communica2011 1,352 5 117,411 547 24,381Virginia 3344 Semiconduc2011 4,248 2 284,526 2,755 176,099Virginia 3345 Navigation2011 6,207 4 539,551 1,928 104,925Virginia 335 Electrical 2011 7,155 1 397,369 4,439 187,283Virginia 3353 Electrical 2011 4,853 1 276,893 2,966 131,267Virginia 3359 Other elec 2011 1,847 5 100,462 1,182 44,104Virginia 336 Transporta2011 36,954 1 2,089,900 22,159 1,039,797Virginia 3361 Motor vehi2011 g S D D DVirginia 3362 Motor vehi2011 2,037 5 71,214 1,785 DVirginia 3363 Motor vehi2011 4,765 7 216,823 3,761 144,242Virginia 3364 Aerospace 2011 2,166 1 221,546 975 69,691Virginia 3366 Ship and bo2011 25,517 1 1,436,427 13,686 665,337Virginia 337 Furniture 2011 7,916 6 283,090 5,987 182,946Virginia 3371 Household a2011 5,499 8 178,870 4,128 116,437Virginia 3372 Office furn2011 1,492 6 67,541 1,081 40,357Virginia 339 Miscellane2011 6,934 4 310,727 4,421 150,998Virginia 3391 Medical eq2011 2,560 3 134,041 1,493 61,773Virginia 3399 Other misc2011 4,374 7 176,686 2,928 89,225Washingto31-33 Manufactur2011 229,409 1 13,277,426 152,364 7,354,423Washingto311 Food manuf2011 31,180 2 1,246,567 25,517 886,739Washingto3113 Sugar and 2011 1,077 14 42,950 803 26,532Washingto3114 Fruit and v2011 9,880 3 349,890 8,564 268,885Washingto3115 Dairy prod2011 1,204 1 58,623 1,114 53,944Washingto3116 Animal sla2011 4,948 1 172,037 4,460 127,978Washingto3117 Seafood pr2011 5,694 7 258,167 4,988 218,894Washingto3118 Bakeries an2011 4,576 7 183,312 2,771 79,357Washingto3119 Other food2011 2,792 12 129,983 2,106 80,448Washingto312 Beverage a2011 2,876 4 127,921 1,650 58,820Washingto3121 Beverage m2011 2,876 4 127,921 1,650 58,820Washingto314 Textile pro2011 2,235 17 85,573 1,593 45,566Washingto3149 Other texti2011 2,116 18 82,934 1,497 43,322Washingto321 Wood prod2011 10,878 7 466,620 9,178 354,164Washingto3211 Sawmills a 2011 5,222 7 250,848 4,471 193,547Washingto3212 Veneer, pl 2011 2,198 8 90,012 1,790 67,087Washingto3219 Other wood2011 3,458 21 125,760 2,917 93,530Washingto322 Paper manu2011 9,034 2 623,185 7,181 424,114Washingto3221 Pulp, paper2011 4,957 1 405,658 4,005 282,261

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Washingto3222 Converted 2011 4,077 4 217,527 3,176 141,853Washingto323 Printing an2011 6,665 10 275,821 4,614 159,704Washingto3231 Printing an2011 6,665 10 275,821 4,614 159,704Washingto324 Petroleum 2011 2,454 1 247,386 1,660 137,879Washingto3241 Petroleum 2011 2,454 1 247,386 1,660 137,879Washingto325 Chemical m2011 6,066 15 402,487 4,053 227,064Washingto3251 Basic chem2011 1,160 9 130,175 852 102,308Washingto3254 Pharmaceut2011 3,076 28 163,578 2,034 69,255Washingto326 Plastics a 2011 8,867 5 370,123 6,682 232,699Washingto3261 Plastics p 2011 8,475 5 355,029 6,388 223,001Washingto327 Nonmetalli2011 6,709 4 305,734 5,359 212,520Washingto3272 Glass and 2011 1,813 4 82,794 1,470 59,277Washingto3273 Cement and2011 3,519 6 165,364 2,767 112,844Washingto331 Primary me2011 6,593 2 398,376 5,332 294,299Washingto3313 Alumina an2011 1,979 1 D D DWashingto3314 Nonferrous2011 1,445 1 94,546 1,114 66,698Washingto3315 Foundries 2011 2,371 4 107,921 1,947 79,327Washingto332 Fabricated2011 18,139 3 869,452 13,283 555,652Washingto3323 Architectur2011 5,540 8 255,256 3,739 150,540Washingto3327 Machine sh2011 6,085 3 293,188 4,781 203,448Washingto3328 Coating, en2011 2,499 6 126,551 1,897 80,881Washingto3329 Other fabr 2011 2,209 7 103,259 1,636 63,353Washingto333 Machinery 2011 13,799 2 781,554 8,925 407,053Washingto3331 Agricultur 2011 1,369 5 75,567 941 39,996Washingto3332 Industrial 2011 3,389 3 226,188 1,963 95,534Washingto3334 Ventilation2011 1,075 1 51,772 704 26,219Washingto3335 Metalworki2011 2,008 3 112,080 1,265 63,186Washingto3339 Other gene2011 5,168 3 269,785 3,485 159,127Washingto334 Computer a2011 17,258 4 1,151,567 8,116 351,933Washingto3342 Communica2011 1,295 (s) 44 (s) 96,509 S 19,082 (s)Washingto3344 Semiconduc2011 6,476 3 398,230 3,910 177,751Washingto3345 Navigation2011 8,775 1 605,730 3,659 139,232Washingto335 Electrical 2011 2,769 6 155,773 1,506 67,658Washingto3359 Other elec 2011 1,463 3 85,436 849 45,626Washingto336 Transporta2011 69,404 1 5,128,510 38,532 2,630,675Washingto3363 Motor vehi2011 2,292 4 102,264 1,527 54,540Washingto3364 Aerospace 2011 60,488 1 4,673,731 31,997 2,341,292Washingto3366 Ship and bo2011 5,294 5 279,901 4,048 184,213Washingto337 Furniture 2011 4,768 8 181,764 3,272 100,742Washingto3371 Household a2011 3,041 9 108,106 2,140 62,997Washingto3372 Office furn2011 1,413 20 61,506 921 31,356Washingto339 Miscellane2011 8,743 5 422,451 5,172 181,908Washingto3391 Medical eq2011 3,740 9 193,729 2,257 80,855Washingto3399 Other misc2011 5,002 6 228,722 2,915 101,053West Virgin31-33 Manufactur2011 48,737 1 2,508,116 36,812 1,664,357West Virgin311 Food manuf2011 2,994 10 83,819 2,389 DWest Virgin3116 Animal sla2011 g S D D DWest Virgin321 Wood prod2011 5,753 4 190,979 4,997 151,555West Virgin3211 Sawmills a 2011 2,016 9 67,624 1,812 55,468

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West Virgin3219 Other wood2011 2,934 6 90,116 2,518 70,789West Virgin323 Printing an2011 2,176 11 67,412 1,757 65,405West Virgin3231 Printing an2011 2,176 11 67,412 1,757 65,405West Virgin325 Chemical m2011 8,475 2 675,179 5,431 383,887West Virgin3251 Basic chem2011 3,247 5 263,092 2,203 164,074West Virgin3252 Resin, synt2011 1,641 1 155,258 1,316 115,388West Virgin3254 Pharmaceut2011 h S D D DWest Virgin326 Plastics a 2011 2,895 1 117,130 2,512 88,172West Virgin3261 Plastics p 2011 2,312 2 88,573 2,085 71,860West Virgin327 Nonmetalli2011 3,277 3 128,192 2,705 93,366West Virgin3271 Clay produ2011 1,287 1 43,506 1,064 30,016West Virgin3273 Cement and2011 1,262 7 52,158 1,046 40,341West Virgin331 Primary me2011 5,124 1 321,439 4,059 242,041West Virgin3311 Iron and st2011 2,166 1 137,458 1,882 118,696West Virgin3313 Alumina an2011 1,287 1 84,150 1,006 59,130West Virgin3314 Nonferrous2011 1,285 1 83,219 868 52,580West Virgin332 Fabricated2011 6,210 3 279,537 4,754 190,897West Virgin3323 Architectur2011 1,677 4 62,983 1,302 41,397West Virgin3327 Machine sh2011 1,683 11 87,918 1,244 61,250West Virgin3328 Coating, en2011 1,108 1 49,453 869 36,011West Virgin333 Machinery 2011 2,386 2 134,211 1,594 70,508West Virgin3331 Agricultur 2011 1,392 4 91,999 987 48,966West Virgin336 Transporta2011 4,424 1 258,098 2,971 165,194West Virgin3363 Motor vehi2011 1,636 1 98,755 1,307 81,602West Virgin3364 Aerospace 2011 2,398 1 143,881 1,346 71,527West Virgin339 Miscellane2011 1,490 10 75,510 1,282 52,390West Virgin3391 Medical eq2011 1,187 5 61,464 1,045 42,992Wisconsin 31-33 Manufactur2011 427,611 1 21,178,553 309,489 12,343,484Wisconsin 311 Food manuf2011 62,374 1 2,607,723 50,079 1,772,758Wisconsin 3111 Animal foo2011 2,001 1 93,341 1,343 54,342Wisconsin 3113 Sugar and 2011 1,571 6 67,965 1,108 39,051Wisconsin 3114 Fruit and v2011 9,954 2 388,595 8,666 302,607Wisconsin 3115 Dairy prod2011 18,853 2 866,425 15,247 603,344Wisconsin 3116 Animal sla2011 18,152 1 698,852 15,136 483,943Wisconsin 3118 Bakeries an2011 4,756 9 159,829 3,543 104,680Wisconsin 3119 Other food2011 6,270 5 292,271 4,436 158,477Wisconsin 312 Beverage a2011 2,832 2 144,057 2,184 101,836Wisconsin 3121 Beverage m2011 2,832 2 144,057 2,184 101,836Wisconsin 313 Textile mill2011 1,104 1 50,791 833 34,154Wisconsin 314 Textile pro2011 1,184 2 42,270 900 26,464Wisconsin 316 Leather an2011 1,381 1 42,993 1,089 27,224Wisconsin 321 Wood prod2011 17,134 4 577,437 13,154 403,819Wisconsin 3211 Sawmills a 2011 2,239 2 80,829 1,800 60,306Wisconsin 3212 Veneer, pl 2011 1,822 21 74,229 1,372 51,980Wisconsin 3219 Other wood2011 13,073 5 422,379 9,982 291,533Wisconsin 322 Paper manu2011 30,493 2 1,737,447 23,444 1,175,506Wisconsin 3221 Pulp, paper2011 12,497 3 782,626 9,871 581,747Wisconsin 3222 Converted 2011 17,997 3 954,820 13,573 593,759

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Wisconsin 323 Printing an2011 26,391 3 1,148,844 20,621 790,671Wisconsin 3231 Printing an2011 26,391 3 1,148,844 20,621 790,671Wisconsin 325 Chemical m2011 12,861 5 737,116 8,427 373,401Wisconsin 3251 Basic chem2011 2,106 1 114,806 1,612 68,507Wisconsin 3252 Resin, synt2011 1,633 1 79,822 1,049 42,274Wisconsin 3254 Pharmaceut2011 2,820 25 169,806 1,956 (s) 88,245 (s)Wisconsin 3255 Paint, coa 2011 1,990 1 113,221 998 42,678Wisconsin 3256 Soap, clea 2011 2,477 6 159,485 1,543 74,944Wisconsin 3259 Other chem2011 1,468 2 79,216 1,050 47,193Wisconsin 326 Plastics a 2011 29,673 2 1,244,713 23,165 802,853Wisconsin 3261 Plastics p 2011 27,137 2 1,123,942 21,231 733,634Wisconsin 3262 Rubber pro2011 2,535 14 120,771 1,934 69,219Wisconsin 327 Nonmetalli2011 7,858 4 357,419 6,209 242,759Wisconsin 3272 Glass and 2011 2,647 4 111,850 2,213 83,332Wisconsin 3273 Cement and2011 3,048 9 137,262 2,333 94,182Wisconsin 3279 Other nonm2011 1,577 10 78,288 1,208 44,394Wisconsin 331 Primary me2011 18,382 2 941,383 14,790 677,246Wisconsin 3312 Steel prod 2011 1,501 1 85,683 1,099 54,061Wisconsin 3313 Alumina an2011 1,103 1 48,474 952 37,901Wisconsin 3315 Foundries 2011 14,629 3 738,245 11,944 543,790Wisconsin 332 Fabricated2011 62,968 1 2,942,464 46,901 1,862,653Wisconsin 3321 Forging an2011 7,059 4 332,707 5,288 220,350Wisconsin 3322 Cutlery an 2011 2,278 3 98,719 1,844 57,283Wisconsin 3323 Architectur2011 14,190 3 639,329 10,077 393,450Wisconsin 3324 Boiler, tan 2011 4,024 9 221,907 3,181 148,125Wisconsin 3325 Hardware m2011 1,003 1 60,308 579 25,851Wisconsin 3326 Spring and2011 1,459 6 64,832 1,141 39,156Wisconsin 3327 Machine sh2011 17,150 3 827,055 12,753 529,380Wisconsin 3328 Coating, en2011 7,008 4 275,458 5,569 187,864Wisconsin 3329 Other fabr 2011 8,798 2 422,148 6,469 261,195Wisconsin 333 Machinery 2011 57,112 4 3,230,302 37,900 1,743,951Wisconsin 3331 Agricultur 2011 11,663 3 676,734 8,038 363,923Wisconsin 3332 Industrial 2011 7,216 7 472,683 4,268 240,529Wisconsin 3333 Commercial2011 5,040 2 218,556 3,393 120,070Wisconsin 3334 Ventilation2011 6,618 29 322,559 4,586 175,601Wisconsin 3335 Metalworki2011 6,944 5 398,307 4,987 259,953Wisconsin 3336 Engine, tu 2011 7,064 2 420,530 5,000 248,270Wisconsin 3339 Other gene2011 12,567 2 720,932 7,628 335,605Wisconsin 334 Computer a2011 21,388 3 1,629,419 10,796 463,034Wisconsin 3341 Computer a2011 2,909 1 160,057 1,827 DWisconsin 3342 Communica2011 g S D 1,142 76,176Wisconsin 3344 Semiconduc2011 6,311 4 259,162 4,181 123,959Wisconsin 3345 Navigation2011 9,999 4 907,026 3,381 176,515Wisconsin 335 Electrical 2011 19,553 3 1,053,783 12,318 494,110Wisconsin 3351 Electric li 2011 2,347 1 98,637 1,490 40,750Wisconsin 3352 Household 2011 3,108 1 166,915 2,204 96,559Wisconsin 3353 Electrical 2011 10,984 1 622,627 6,622 260,403Wisconsin 3359 Other elec 2011 3,114 20 165,604 2,002 96,398Wisconsin 336 Transporta2011 25,463 3 1,252,626 17,759 742,619

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Wisconsin 3361 Motor vehi2011 i S D D DWisconsin 3362 Motor vehi2011 2,963 1 124,884 2,006 81,779Wisconsin 3363 Motor vehi2011 9,312 7 380,282 7,136 236,584Wisconsin 3366 Ship and bo2011 g S D D DWisconsin 3369 Other tran2011 4,054 3 216,987 2,687 144,794Wisconsin 337 Furniture 2011 13,560 5 535,201 9,663 304,019Wisconsin 3371 Household a2011 8,223 7 302,154 5,985 174,476Wisconsin 3372 Office furn2011 3,914 8 156,972 2,943 91,123Wisconsin 3379 Other furn2011 1,424 1 76,075 735 38,420Wisconsin 339 Miscellane2011 14,689 12 843,726 8,440 273,553Wisconsin 3391 Medical eq2011 6,638 26 511,823 (s) 3,261 106,055Wisconsin 3399 Other misc2011 8,051 3 331,904 5,179 167,498Wyoming 31-33 Manufactur2011 8,299 16 551,564 5,829 346,098Wyoming 324 Petroleum 2011 983 1 88,672 703 53,359Wyoming 3241 Petroleum 2011 983 1 88,672 703 53,359Wyoming 325 Chemical m2011 2,580 1 225,771 1,710 132,352Wyoming 3251 Basic chem2011 1,493 1 124,563 1,155 93,000Wyoming 333 Machinery 2011 1,406 1 75,090 1,150 57,125

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Production wTotal cost of maTotal value of s Value added ($1RelaTotal capital Relative standard error of total capital expenditures (new and used) (%)14,800,726 3,237,468,162 5,481,368,133 2,281,045,567 1 146,319,354 12,156,969 446,912,939 708,682,666 264,192,399 1 15,738,466 159,120 37,793,598 53,793,268 16,097,145 1 802,178 280,888 65,293,489 94,300,435 29,225,238 1 1,610,694 195,323 17,133,706 32,304,488 15,316,734 1 1,187,912 1268,600 35,098,749 64,349,388 29,264,240 1 2,262,528 3195,988 74,484,846 106,096,675 32,303,755 1 2,623,060 2862,276 142,132,943 195,596,789 54,210,569 1 2,499,353 149,590 6,630,392 10,554,929 3,919,280 2 308,404 3319,335 26,413,956 61,610,392 35,407,997 1 1,826,517 5225,850 41,931,259 90,076,301 48,447,440 1 2,617,820 1163,496 52,830,269 134,764,856 82,341,544 1 3,059,207 6143,289 46,744,802 95,906,480 49,570,580 1 2,743,260 720,207 6,085,467 38,858,376 32,770,964 1 315,947 1164,270 17,954,462 30,890,058 13,012,244 5 719,943 243,344 5,712,865 7,780,757 2,077,664 3 156,620 576,604 7,902,440 15,268,619 7,387,177 1 418,802 244,322 4,339,157 7,840,682 3,547,404 17 144,521 7156,040 12,872,589 22,368,279 9,690,578 2 497,709 383,907 7,873,081 12,824,194 5,063,244 2 240,610 272,133 4,999,508 9,544,086 4,627,334 3 257,099 6139,939 6,500,593 12,783,781 6,374,185 2 195,678 221,544 1,049,205 2,085,921 1,061,311 6 50,618 4105,761 4,780,431 9,255,201 4,533,139 3 134,705 312,634 670,956 1,442,659 779,734 2 10,354 338,021 3,277,081 5,665,079 2,507,238 1 107,602 15,321 1,389,361 1,749,161 395,305 1 16,891 216,664 953,389 1,893,556 956,071 1 44,968 116,036 934,331 2,022,362 1,155,862 2 45,743 3516,381 41,763,343 70,091,234 28,348,436 1 1,787,080 3128,713 13,772,883 21,466,467 7,690,046 2 626,103 592,961 8,669,796 13,895,338 5,253,943 2 315,281 6294,707 19,320,664 34,729,429 15,404,447 2 845,697 4554,420 94,089,711 175,551,991 81,880,671 1 6,586,650 1181,456 40,384,031 82,334,583 42,015,884 1 3,692,861 1372,964 53,705,680 93,217,408 39,864,787 1 2,893,789 2622,156 34,110,449 82,379,606 48,345,048 1 2,790,850 2622,156 34,110,449 82,379,606 48,345,048 1 2,790,850 2143,490 717,357,234 838,083,140 127,237,511 1 10,463,417 1143,490 717,357,234 838,083,140 127,237,511 1 10,463,417 1837,484 405,891,737 773,080,017 372,114,007 1 22,104,764 1181,134 169,384,652 266,390,410 98,974,741 1 8,327,400 1112,159 73,447,004 102,263,436 29,443,656 1 4,083,455 136,631 18,471,213 34,819,439 16,800,730 3 1,239,668 2224,116 56,547,529 192,605,477 137,287,792 1 4,581,196 463,376 17,861,221 33,215,551 15,438,101 2 449,514 4116,156 42,696,769 96,311,230 53,868,962 1 2,086,987 1

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103,912 27,483,350 47,474,474 20,300,025 2 1,336,544 21,049,699 113,688,421 203,757,306 91,163,513 1 6,955,881 1852,868 87,970,829 160,309,391 73,249,959 1 5,658,541 1196,831 25,717,592 43,447,914 17,913,554 1 1,297,340 2517,998 42,285,126 92,584,541 50,788,172 1 3,951,038 247,691 2,899,715 7,032,415 4,172,145 2 196,486 2123,720 9,362,666 21,812,735 12,634,911 2 1,446,148 2236,192 19,038,503 38,545,235 19,522,518 2 1,397,735 419,731 2,927,014 5,348,386 2,466,300 2 208,457 190,663 8,057,228 19,845,770 11,992,299 1 702,211 5616,562 190,093,143 278,728,612 91,671,927 1 8,084,566 3177,135 81,351,161 115,230,696 35,295,381 1 2,644,830 166,739 19,085,977 26,325,235 7,872,144 2 1,320,709 1584,287 29,120,683 38,046,386 9,091,370 1 928,854 184,432 45,783,698 68,292,173 23,142,117 1 1,973,416 1203,968 14,751,624 30,834,123 16,270,915 1 1,216,757 51,905,210 155,191,053 323,664,158 171,459,303 1 10,310,970 1156,313 18,376,412 33,147,400 15,348,234 1 1,232,876 251,519 3,626,452 10,460,171 6,877,440 2 288,352 4425,594 37,723,698 70,620,861 33,273,836 1 1,592,299 2117,995 18,766,141 32,017,384 13,431,477 1 912,343 132,476 3,256,842 6,771,825 3,548,717 2 111,546 261,266 4,547,418 8,977,446 4,501,998 2 224,541 5527,597 24,414,811 62,478,989 38,752,074 1 3,041,303 3179,180 11,129,401 26,867,887 16,000,480 1 963,534 6353,270 33,349,878 72,322,194 39,725,046 1 1,944,176 21,239,398 191,892,072 365,009,749 177,341,667 1 10,577,640 1246,765 59,187,643 103,051,540 45,318,672 2 3,989,356 1108,646 15,896,127 35,278,772 19,376,135 1 820,569 583,848 11,248,770 22,755,670 11,529,991 2 655,220 4170,339 20,584,407 38,649,718 18,085,016 2 747,701 2197,103 11,398,843 27,583,681 16,766,537 1 1,132,772 6122,506 27,918,360 46,408,440 19,083,567 1 1,502,228 2310,190 45,657,923 91,281,927 47,181,748 1 1,729,794 2752,749 131,265,040 338,046,600 208,409,034 1 16,716,059 134,857 15,929,858 28,582,187 12,777,718 3 1,449,892 1181,568 22,882,859 43,833,198 20,908,465 5 1,701,653 27,229 1,200,063 2,713,855 1,517,933 6 22,578 3331,789 38,780,245 124,814,965 87,255,319 1 10,667,647 1276,543 51,387,987 135,204,779 84,137,125 1 2,753,232 220,762 1,084,029 2,897,616 1,812,474 7 121,058 5437,751 61,212,886 118,500,116 58,118,442 1 2,615,424 156,962 5,734,289 11,795,554 6,090,477 2 246,498 470,492 10,021,417 17,978,175 7,905,677 1 479,285 1144,009 19,194,646 38,209,770 19,330,716 1 747,344 2166,288 26,262,534 50,516,616 24,791,572 1 1,142,297 11,659,882 434,363,633 691,936,996 264,738,351 1 17,688,496 1245,848 178,923,145 234,153,213 55,455,127 1 6,480,072 1

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148,647 18,107,655 26,812,629 8,904,991 2 334,317 3623,288 123,019,351 185,374,641 63,007,776 1 5,633,770 1410,715 84,589,088 183,738,548 105,208,491 1 3,849,788 237,259 8,041,767 13,196,690 5,293,737 1 354,807 1150,284 10,324,187 28,066,819 17,742,631 1 699,760 243,840 11,358,439 20,594,455 9,125,598 1 335,982 3457,995 29,221,627 62,285,470 32,901,869 3 960,226 2275,962 15,591,271 31,918,954 16,166,446 4 450,256 4140,358 9,537,922 21,680,952 12,139,835 4 413,152 341,675 4,092,434 8,685,564 4,595,589 1 96,818 2670,815 54,694,753 152,513,877 98,409,429 1 4,407,687 2335,585 27,474,012 89,203,546 61,857,775 2 2,755,588 3335,230 27,220,741 63,310,331 36,551,653 2 1,652,099 3327,968 71,373,487 114,125,828 43,692,066 1 3,515,953 148,108 7,342,175 10,510,378 3,308,169 3 193,929 32,293 1,296,851 1,620,909 343,582 11 18,109 2035,005 3,157,641 4,627,003 1,527,047 6 81,326 42,439 156,991 441,727 285,889 3 12,282 94,694 794,210 1,240,732 457,599 9 32,985 81,485 D D D S 15,205 9D D D D S D S5,350 610,463 929,647 333,974 1 27,457 12,736 442,431 562,505 129,958 1 23,948 12,519 162,616 357,960 200,098 2 3,458 86,966 648,558 906,083 225,937 4 13,970 34,987 400,349 540,453 106,737 6 12,356 41,979 248,209 365,630 119,201 6 1,615 63,409 D 346,190 D S 5,126 42,009 D D D S D SD D D D S D S20,814 1,739,181 2,960,359 1,243,856 7 57,230 76,393 833,471 1,374,363 555,288 14 34,512 113,830 278,733 472,152 200,615 5 9,060 410,591 626,977 1,113,844 487,953 5 13,658 519,803 4,090,696 8,218,786 4,167,844 1 372,432 114,935 3,283,777 7,030,127 3,786,104 1 350,602 14,868 806,919 1,188,659 381,740 10 21,830 73,446 (s) 181,662 376,688 197,003 25 17,383 163,446 (s) 181,662 376,688 197,003 25 17,383 162,906 3,662,908 7,574,144 4,005,988 1 67,117 12,906 3,662,908 7,574,144 4,005,988 1 67,117 114,349 6,275,457 11,884,965 5,630,008 1 385,132 14,080 3,929,352 6,002,799 2,117,998 1 181,096 16,999 1,373,585 3,353,993 1,984,510 1 133,735 1955 291,783 805,078 483,941 1 D S1,059 89,722 421,580 336,476 1 15,265 126,554 2,594,453 4,568,278 2,007,503 3 194,491 1017,460 1,460,428 2,855,128 1,419,016 2 124,184 15

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9,094 1,134,024 1,713,149 588,487 8 70,307 39,708 869,976 1,877,411 1,022,928 9 55,913 41,562 109,634 235,123 129,913 8 4,352 61,152 109,804 271,865 164,052 1 8,424 14,957 405,527 838,752 430,491 21 22,395 1126,260 9,413,946 13,963,571 4,885,382 1 722,309 19,589 5,388,664 7,935,599 2,705,901 1 189,467 12,131 858,647 1,194,565 479,125 1 D S3,823 1,570,179 2,056,294 504,249 1 70,718 12,255 746,541 1,211,253 484,152 4 45,505 48,462 849,915 1,565,860 711,955 5 D S29,825 2,676,901 5,106,266 2,481,169 4 154,933 91,845 240,060 344,868 108,981 11 10,688 2010,735 923,576 1,676,965 757,593 5 33,577 221,876 267,138 400,314 154,629 2 22,687 16,346 308,924 675,760 363,569 20 25,064 111,808 96,280 352,808 271,410 11 22,715 (s) 49 (s)5,202 617,047 1,300,658 694,405 2 32,029 414,471 2,303,326 3,903,183 1,619,603 2 80,691 31,087 264,765 391,307 134,555 1 18,883 12,132 217,192 442,789 217,362 2 4,401 151,747 96,084 217,679 123,574 9 5,562 42,752 1,076,961 1,588,459 502,882 1 31,523 14,996 513,177 939,587 454,829 5 14,170 710,893 1,444,881 3,469,122 2,061,899 1 166,332 11,716 394,487 1,043,684 653,698 1 D SD D D 696,586 1 14,372 72,369 D 584,803 D S D S2,101 308,662 656,314 339,620 1 13,874 1D D D D S D S8,022 1,236,560 2,161,839 944,471 3 40,249 1D D D D S D S1,686 205,675 414,324 207,718 1 11,141 12,510 582,984 967,203 399,125 6 8,822 155,948 24,290,359 31,584,755 7,440,165 1 898,703 114,121 15,145,344 18,026,988 2,903,662 1 398,537 15,072 791,240 1,136,668 353,551 4 18,546 122,501 6,613,087 8,938,818 2,377,060 1 413,553 16,873 1,025,461 1,947,942 993,626 1 31,299 124,877 330,934 692,678 361,744 10 33,414 31,794 D D 358,849 1 1,904 19,470 679,112 1,529,765 846,162 9 18,337 104,161 (s) 311,655 709,605 393,767 18 8,319 74,914 329,553 740,241 410,346 2 8,943 2010,107 559,149 1,323,573 762,255 11 28,985 54,422 (s) 209,737 527,330 318,439 22 9,021 155,685 349,412 796,242 443,815 10 19,964 219,236 6,595,626 8,317,098 1,745,325 4 146,131 5

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15,024 1,712,552 2,486,326 782,981 8 83,363 814,658 1,692,368 2,435,880 750,268 9 81,630 9143,859 23,070,728 49,679,282 26,924,108 1 1,359,400 414,784 3,603,155 5,927,113 2,346,514 2 122,466 22,224 1,662,846 2,619,765 971,758 1 29,310 12,847 D D 134,353 1 6,823 15,032 244,209 647,434 404,439 9 16,154 133,147 296,725 867,447 573,686 2 55,902 12,480 1,019,759 1,612,723 605,787 2 33,223 3D D D D S D S710 (s) D D D S 4,408 305,369 313,740 563,949 245,298 14 9,629 194,491 236,048 435,684 194,666 15 7,523 243,346 381,242 767,537 377,613 8 16,828 113,106 344,483 D D S 14,275 135,597 225,908 656,646 428,805 18 19,858 155,597 225,908 656,646 428,805 18 19,858 153,883 1,706,420 4,435,142 2,717,166 2 96,038 2560 D D D S 42,815 18,725 870,621 1,660,538 804,729 11 69,464 168,157 830,751 1,581,042 764,953 12 68,131 166,870 742,067 1,505,422 762,597 10 57,284 83,547 474,297 958,128 481,175 16 27,753 104,936 1,501,607 2,585,695 1,098,070 4 73,419 51,370 1,071,974 1,885,812 820,117 5 43,570 71,837 63,607 168,773 105,921 13 15,766 821,134 2,101,166 4,092,608 1,988,838 5 149,622 126,050 601,888 999,198 420,966 14 26,690 217,078 341,327 831,366 483,541 9 29,070 351,665 33,422 135,311 100,734 17 8,660 123,902 813,870 1,604,560 757,582 9 59,450 228,588 1,053,284 2,091,205 1,035,327 5 81,797 71,430 263,125 635,014 369,384 7 36,851 11,461 97,810 253,754 158,568 4 2,333 211,911 314,669 (s) 427,540 (s) 110,630 33 2,517 11,525 91,639 209,668 123,122 5 23,411 2318,277 2,441,408 7,313,080 4,875,127 5 221,069 411,077 950,979 2,777,866 1,788,096 3 126,811 45,930 1,352,846 4,200,030 2,896,436 2 79,437 102,915 213,034 545,639 358,986 9 57,263 523,492 5,660,173 12,284,709 6,841,005 1 255,514 193,034 257,743 656,089 402,847 1 17,900 119,278 5,261,055 11,390,839 6,336,970 1 233,852 212,657 (s) 258,199 493,245 235,143 31 9,936 14S 116,704 232,165 (s) 114,004 (s) 48 (5,802 248,493 488,140 2,379,774 1,923,981 6 72,227 64,899 210,173 1,695,970 1,494,508 1 47,648 23,594 277,967 683,805 429,473 26 24,579 16

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231,035 36,311,191 59,850,719 23,769,020 1 1,443,949 268,900 10,271,487 15,516,227 5,274,451 4 283,868 34,517 1,739,636 2,119,271 436,026 1 52,132 167,634 818,785 1,452,935 631,182 1 62,219 149,485 4,807,108 8,060,856 3,226,665 7 109,489 32,429 206,602 399,320 193,074 1 7,141 22,246 627,703 1,125,089 498,517 1 35,351 12,175 D 131,727 D S 2,339 11,399 35,566 83,872 47,956 1 D S15,383 1,196,471 2,042,593 840,675 3 47,798 56,550 520,581 845,234 322,945 6 22,409 93,992 375,511 612,073 235,628 5 12,674 34,842 300,379 585,286 282,102 5 12,716 1212,725 2,091,363 4,568,889 2,479,488 1 167,268 15,626 1,078,194 2,457,655 1,383,912 1 82,095 17,099 1,013,169 2,111,234 1,095,576 1 85,173 13,914 214,363 505,397 291,580 12 19,471 103,914 214,363 505,397 291,580 12 19,471 105,056 1,758,484 3,022,982 1,183,776 13 159,430 31,261 D 1,599,128 D S 122,756 41,383 D 454,014 D S 14,296 118,267 1,992,406 3,785,677 1,791,805 1 111,782 411,362 1,297,991 2,254,829 967,450 3 84,536 56,905 694,415 1,530,848 824,355 1 27,246 13,830 360,060 731,204 375,181 7 56,668 251,853 154,497 295,146 147,976 17 26,721 (s) 54 (s)13,906 4,472,409 6,515,399 2,122,819 1 159,809 14,749 2,558,268 4,244,736 1,741,331 1 34,289 15,086 950,414 996,053 73,894 1 108,548 11,920 171,364 309,628 139,939 1 6,834 120,012 2,428,667 4,777,068 2,378,661 2 77,245 54,956 482,178 919,428 440,444 5 13,601 112,060 (s) 94,920 272,855 185,833 14 11,392 297,740 1,109,825 2,546,422 1,461,336 2 34,970 618,662 2,217,096 3,931,822 1,796,409 3 181,489 145,188 851,460 1,289,634 511,072 8 122,341 216,010 619,535 1,190,324 572,899 1 17,318 53,326 280,273 625,258 349,289 7 11,724 63,900 252,287 649,863 393,128 1 8,940 12,640 178,872 470,933 293,042 1 3,189 112,167 1,219,582 2,548,618 1,293,196 1 48,796 1D D D D S D S6,319 476,034 1,065,809 577,866 3 19,600 14,004 590,522 1,009,675 425,224 1 27,585 116,994 3,030,037 4,931,284 1,980,062 2 60,590 42,038 D 369,586 D S 2,688 146,976 711,501 1,234,035 518,470 1 28,779 15,540 1,625,028 2,690,461 1,132,693 1 17,856 13

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6,070 379,196 662,008 275,500 5 7,894 84,233 224,830 421,262 193,806 7 4,537 71,719 148,779 229,292 75,787 9 2,975 195,384 295,290 709,891 422,846 3 16,320 112,303 97,221 174,373 77,497 11 4,750 333,081 198,069 535,518 345,349 3 11,570 81,363,704 268,788,897 495,368,517 229,817,140 1 13,197,917 1222,907 43,112,062 70,784,473 28,103,073 1 1,745,111 43,628 3,308,297 4,067,041 785,014 7 57,129 55,731 3,381,574 5,111,794 1,765,057 3 66,208 39,699 1,420,985 2,588,877 1,196,515 4 74,233 853,225 6,771,100 12,971,001 6,185,543 2 444,396 1226,572 11,771,690 15,999,931 4,366,038 3 329,602 1136,003 5,517,546 7,893,770 2,386,611 6 128,903 123,213 569,815 815,787 245,380 9 10,090 1740,274 3,142,408 7,334,375 4,217,953 2 149,217 644,563 7,228,647 14,001,897 6,954,962 3 485,333 433,231 9,322,931 20,144,798 11,080,840 2 753,639 5D D D D S D S11,902 893,972 1,421,777 542,911 10 24,490 102,252 160,336 264,475 107,687 13 6,592 18,850 691,467 1,093,636 413,920 12 16,999 1512,032 939,721 1,600,879 669,421 7 32,139 106,377 622,854 999,159 390,211 10 12,959 105,655 316,867 601,720 279,210 12 19,180 1552,197 2,991,516 5,523,050 2,569,451 4 84,444 31,553 286,688 466,774 182,811 5 5,068 348,735 2,531,518 4,702,354 2,204,056 5 78,351 41,909 173,310 353,922 182,584 3 1,025 14,708 265,738 589,883 342,389 2 20,258 13,604 200,257 473,544 288,516 2 18,858 127,395 2,241,245 3,939,890 1,681,076 4 78,784 234,982 597,089 991,495 380,340 4 14,822 22,366 246,490 393,234 148,976 18 29,788 (s) 61 (s)20,047 1,397,666 2,555,161 1,151,760 5 34,174 632,166 5,033,504 9,648,768 4,637,289 7 236,080 63,050 688,178 2,032,339 1,346,423 1 34,502 129,116 4,345,326 7,616,429 3,290,866 10 201,578 756,286 2,674,771 6,651,511 3,972,646 5 273,155 856,286 2,674,771 6,651,511 3,972,646 5 273,155 816,191 86,670,818 96,592,300 10,780,434 5 1,094,785 616,191 86,670,818 96,592,300 10,780,434 5 1,094,785 674,674 15,103,895 50,747,906 36,034,262 1 1,357,007 15,314 1,550,768 3,359,790 1,831,812 3 143,518 85,488 858,551 1,426,981 538,098 24 92,865 101,898 580,638 1,162,103 571,898 4 24,042 740,402 8,291,116 36,219,114 28,277,782 1 870,193 14,142 888,325 2,016,594 1,101,589 11 28,675 11

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9,941 1,825,560 4,411,282 2,649,640 2 139,015 27,488 1,108,936 2,152,043 1,063,443 11 58,699 1078,738 7,026,329 13,475,494 6,557,941 3 422,081 370,260 6,282,828 12,047,487 5,859,869 3 384,440 48,478 743,500 1,428,007 698,071 5 37,641 839,931 3,378,694 7,082,024 3,737,985 6 287,828 52,054 75,635 221,229 143,626 28 6,526 711,235 803,859 1,925,989 1,148,626 8 100,423 1219,484 1,834,866 3,485,195 1,658,642 11 133,362 76,124 501,561 1,199,742 699,908 7 37,827 525,217 6,167,555 8,507,233 2,487,492 2 254,499 24,276 2,630,905 2,910,208 330,974 1 53,282 12,740 716,111 992,025 305,271 5 21,230 123,746 850,929 1,208,753 398,204 2 38,608 13,711 1,435,791 2,129,147 712,358 3 87,088 110,743 533,819 1,267,101 740,685 5 54,291 8183,877 10,884,915 26,360,457 15,694,410 1 891,740 510,916 1,025,030 2,320,876 1,368,342 2 88,500 43,014 188,627 465,601 280,289 10 15,497 2740,545 2,945,270 6,325,770 3,412,043 3 108,756 76,585 1,317,100 2,293,428 939,663 4 54,705 33,733 195,523 559,900 359,282 7 10,458 33,048 180,281 413,770 236,810 7 9,781 1867,011 2,429,995 7,235,502 4,881,807 3 419,134 1024,218 584,773 2,144,775 1,569,026 5 85,531 1124,806 2,018,315 4,600,834 2,647,147 2 99,378 673,099 9,609,105 20,515,440 11,113,218 3 633,245 25,008 1,024,319 2,048,964 1,079,431 10 158,259 18,419 1,276,207 3,008,857 1,748,913 4 151,753 610,404 1,734,607 3,411,729 1,684,440 3 78,399 99,372 953,645 2,046,190 1,077,719 21 31,513 913,605 897,433 2,364,065 1,493,151 3 70,377 98,515 1,622,965 3,149,909 1,540,178 1 63,139 117,776 2,099,929 4,485,726 2,489,386 4 79,805 6153,883 31,406,492 68,708,961 37,289,254 1 2,997,033 15,499 3,188,356 4,532,605 1,331,190 12 775,295 126,595 10,463,678 15,908,083 5,225,893 3 391,033 41,447 (s) 298,735 645,690 352,724 23 7,256 177,246 9,335,889 22,523,385 13,439,308 2 1,348,800 139,185 7,865,511 24,425,108 16,519,066 2 448,762 23,911 254,322 674,089 421,073 28 25,886 2134,618 4,743,905 9,559,142 5,082,437 3 220,996 29,099 643,337 1,401,062 751,417 6 30,253 38,837 1,089,176 2,333,417 1,276,071 10 66,797 615,819 2,900,956 5,615,609 2,955,313 2 107,325 398,199 16,206,836 43,507,974 27,326,819 1 1,096,594 22,018 848,728 1,155,935 318,007 1 D S6,645 683,771 D D S D S

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20,274 3,498,261 5,803,125 2,359,850 7 130,654 852,556 9,344,399 31,645,857 22,239,618 2 570,708 212,587 1,056,522 2,327,152 1,270,631 5 D S3,115 589,606 1,262,579 687,786 6 41,946 1241,211 2,333,344 5,255,435 2,906,041 5 71,365 823,727 1,297,125 2,754,007 1,440,814 9 34,180 1412,526 594,372 1,505,500 913,101 7 28,065 114,958 441,847 995,928 552,126 3 9,120 891,243 7,781,550 24,751,121 17,207,751 1 622,646 251,428 4,524,558 17,233,963 12,824,783 2 482,979 239,815 3,256,992 7,517,158 4,382,968 3 139,667 5147,448 26,111,632 49,120,411 23,260,962 2 1,319,012 227,769 6,620,283 8,817,567 2,220,676 1 76,233 21,486 278,926 429,163 153,571 1 4,858 62,075 537,547 764,815 230,032 3 4,929 1615,226 4,534,850 5,172,506 656,467 1 16,236 44,367 229,318 576,615 347,656 6 11,177 41,996 212,334 623,386 410,505 1 15,566 13,977 1,456,966 3,692,651 2,232,863 1 79,195 1D D D D S D S2,420 D D 297,779 1 7,228 32,192 D D 290,636 1 6,966 34,420 286,945 523,495 238,371 6 11,057 123,513 173,734 343,876 169,231 7 5,138 222,090 D 427,603 D S 3,567 242,090 D 427,603 D S 3,567 247,546 475,280 1,104,212 630,750 10 30,776 97,546 475,280 1,104,212 630,750 10 30,776 96,348 2,290,934 5,607,495 3,272,283 9 142,352 82,700 1,340,190 D D S 71,851 101,850 297,849 955,697 654,434 4 10,802 65,699 484,291 861,629 387,025 11 30,041 65,549 468,222 836,858 377,940 12 29,298 611,298 707,714 1,672,314 968,414 4 71,376 132,770 83,520 240,311 161,883 5 D S5,409 398,082 871,777 473,489 7 40,366 221,576 D D D S 3,716 243,505 880,127 1,259,778 381,050 1 20,064 1D D D D S D S19,580 1,890,436 3,723,945 1,861,845 6 126,732 66,151 600,380 1,104,595 500,318 11 19,649 6D 581,238 1,020,040 461,942 15 56,207 16,360 279,650 707,103 444,883 12 28,417 271,687 168,219 347,262 166,243 18 11,069 1510,826 1,615,992 3,451,112 1,913,893 6 304,701 11,165 105,750 281,629 174,018 4 D S1,496 121,562 (s) 336,899 221,557 34 D S1,471 258,707 518,115 259,491 1 12,772 1

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2,324 490,863 923,345 474,333 1 D S2,496 466,143 1,046,774 605,225 14 11,917 414,300 1,847,401 5,634,737 3,810,277 1 181,817 31,177 171,354 371,036 207,339 13 5,268 20550 (s) 238,850 531,176 269,942 9 14,660 347,216 542,012 2,022,374 1,506,262 1 105,098 15,193 882,707 2,678,337 1,807,138 1 55,814 51,969 201,782 536,516 341,843 16 22,600 268,729 1,341,833 2,234,901 958,925 8 57,855 136,828 1,100,880 1,830,073 787,078 9 37,727 14,787 266,206 574,573 311,373 10 6,492 142,597 97,330 222,122 124,258 22 3,323 201,497 89,084 206,992 121,100 9 1,917 279,975 807,174 3,333,014 2,511,649 2 68,924 86,107 609,650 2,762,800 2,142,310 1 60,418 93,868 197,524 570,213 369,339 13 8,506 5184,051 21,715,376 51,555,069 29,710,892 1 1,265,240 27,820 931,943 2,554,357 1,632,609 2 63,731 33,778 289,855 954,811 667,747 2 19,025 91,665 232,527 869,999 644,890 4 22,607 11,455 D D 74,012 29 2,645 141,037 (s) 76,438 146,019 65,025 18 2,773 224,857 822,342 1,560,332 736,982 4 42,357 71,763 470,881 951,136 480,583 1 27,152 13,094 351,461 609,196 256,399 10 15,205 188,796 456,560 1,188,774 739,005 5 49,113 128,796 456,560 1,188,774 739,005 5 49,113 126,848 1,253,326 2,492,157 1,250,248 2 87,253 82,306 262,791 519,302 259,787 1 27,165 241,507 303,589 584,686 280,035 3 16,864 39,394 774,395 1,579,665 813,253 6 43,455 68,018 674,252 1,357,191 689,346 6 38,087 63,879 297,232 805,206 503,708 5 18,255 8D 74,544 299,048 225,623 1 D S1,723 133,799 315,689 181,660 13 6,962 204,730 1,084,293 1,780,739 690,909 4 31,138 11,489 466,510 723,572 258,864 10 9,910 144,416 2,749,067 7,017,842 4,304,783 3 230,363 56,382 459,604 995,215 541,174 13 34,555 102,951 267,088 1,036,558 765,082 1 25,619 13,649 368,435 615,235 255,474 13 12,094 111,858 175,949 412,649 236,878 3 6,037 11,514 108,126 250,918 144,808 16 5,477 3614,782 650,991 1,776,099 1,172,720 6 81,096 125,452 205,507 566,876 361,695 5 16,323 127,320 473,625 1,287,307 790,441 2 38,459 314,181 1,713,019 3,422,149 1,600,743 4 130,272 62,343 673,995 1,028,661 232,916 20 46,916 13

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2,471 238,206 389,641 153,047 1 8,175 13,578 296,789 686,700 393,260 4 17,814 132,089 101,990 322,974 225,280 5 11,152 312,978 317,564 829,759 515,994 8 39,848 415,183 2,187,203 5,000,921 2,846,652 3 123,282 51,911 354,926 847,856 496,603 1 7,841 15,618 406,406 961,339 555,140 3 37,942 57,484 1,397,849 3,094,564 1,725,814 6 73,790 89,562 1,231,923 2,733,298 1,501,714 6 45,790 5D D D D S 12,283 102,622 379,484 838,598 459,937 20 D S5,463 728,066 1,582,211 856,204 4 25,370 737,081 6,512,125 17,131,488 10,463,897 1 299,935 5D 427,015 D D S D S27,454 5,961,723 12,662,281 6,540,707 1 227,533 3D 111,060 D D S D S2,874 152,743 386,402 238,281 8 5,021 189,280 846,864 2,532,427 1,702,226 3 65,366 116,895 688,104 2,024,138 1,346,914 3 56,084 132,384 158,760 508,289 355,311 5 9,281 1037,376 13,641,214 20,434,800 7,282,827 1 718,348 214,466 1,761,390 2,959,895 1,201,247 1 82,062 111,957 853,996 1,536,077 684,437 1 67,083 14,135 6,710,034 10,417,519 3,690,170 1 111,627 11,284 D D 3,055,599 1 54,986 12,538 277,586 640,209 367,409 5 18,890 172,352 258,426 588,809 335,154 5 D S3,308 156,144 435,490 282,746 5 14,920 361,818 74,585 221,703 146,014 7 4,096 111,396 324,045 843,690 519,951 2 17,883 (s) 49 (s)1,196 274,302 786,637 507,874 2 16,757 (s) 52 (s)1,429 131,402 391,233 269,562 1 6,164 11,213 111,631 351,397 248,801 1 5,285 12,176 147,202 534,446 393,586 1 12,428 11,623 128,057 396,421 272,159 1 7,131 11,182 79,109 181,912 103,665 20 5,814 1330,817 46,235,203 91,439,013 45,458,693 2 2,847,503 336,491 7,224,171 12,486,207 5,393,847 2 445,528 53,178 497,524 1,127,979 602,824 1 51,548 19,448 2,384,996 3,703,417 1,435,285 1 189,748 13,273 935,840 1,414,751 480,538 6 28,548 16,022 779,380 1,180,838 425,362 6 16,442 61,631 296,643 551,082 254,254 1 5,699 17,971 505,872 1,551,017 1,049,527 12 52,625 374,278 1,474,122 2,433,309 968,652 3 95,508 138,023 3,308,894 6,709,721 3,434,622 1 162,274 66,129 3,162,882 D D S 144,910 61,894 146,012 D D S 17,364 1

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4,356 294,093 521,695 226,311 17 10,956 81,967 133,554 235,811 96,639 6 1,925 52,389 160,538 (s) 285,884 129,673 29 9,031 104,547 172,113 307,663 131,717 16 6,021 73,612 144,116 246,488 98,973 21 4,257 1012,375 1,089,809 1,941,810 836,202 25 54,501 393,118 349,369 523,207 171,152 6 8,301 72,840 172,594 318,222 146,001 20 3,798 56,416 567,846 1,100,381 519,048 (s) 40 (42,402 (s) 50 (s)12,250 2,285,584 4,470,113 2,174,473 2 241,665 36,358 1,282,130 2,993,705 1,703,653 1 196,786 15,892 1,003,454 1,476,408 470,820 7 44,879 1518,575 1,179,348 2,428,701 1,240,620 10 78,225 1718,575 1,179,348 2,428,701 1,240,620 10 78,225 172,138 533,524 755,896 230,948 3 13,470 32,138 533,524 755,896 230,948 3 13,470 319,829 7,297,162 13,742,864 6,587,601 3 315,642 152,974 1,469,215 2,321,338 858,684 1 32,825 164,886 3,999,928 6,306,857 2,338,666 1 90,637 14,905 382,533 2,262,411 1,944,172 10 91,507 (s) 50 (s)1,058 257,825 512,639 260,637 15 7,133 232,944 409,079 1,017,755 633,567 4 51,884 81,810 282,683 528,595 243,420 10 9,578 415,062 1,495,480 2,775,876 1,309,352 4 85,788 1013,791 1,369,851 2,552,589 1,211,256 5 82,657 111,270 125,628 223,286 98,095 10 3,131 2520,487 1,910,480 3,298,808 1,400,132 8 125,185 242,461 162,309 349,116 191,799 2 9,283 1914,087 1,051,445 1,893,104 845,749 11 97,023 313,182 (s) 568,946 (s) 884,619 (s) 318,055 20 14,342 34,445 1,210,293 1,835,690 640,973 1 73,837 135,655 2,634,533 5,238,788 2,636,087 4 145,925 61,950 147,781 246,026 105,205 18 20,828 1014,165 1,284,838 2,135,274 872,996 9 51,553 71,806 491,476 815,636 299,866 9 20,076 87,393 272,166 749,502 485,630 9 22,985 341,586 42,929 164,432 122,982 14 3,906 126,885 322,499 917,007 609,138 8 23,512 620,776 2,940,026 5,244,073 2,365,957 4 155,293 51,942 327,691 514,324 205,475 4 20,026 181,043 191,372 351,680 171,123 12 12,367 44,497 1,081,548 1,765,375 534,766 4 42,247 44,678 554,471 783,624 234,007 36 29,332 31,892 68,542 185,254 125,185 8 4,068 215,748 573,572 1,266,965 705,467 4 23,336 827,398 5,161,788 12,920,411 7,640,210 10 485,344 71,367 591,534 989,277 374,314 1 13,106 38,749 599,449 2,641,704 2,076,593 4 197,484 3

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7,401 1,091,784 2,013,754 887,082 15 126,804 279,774 2,841,493 7,145,726 4,208,602 18 141,915 69,309 733,311 1,643,068 901,101 15 48,988 101,697 144,369 310,807 153,630 14 5,851 192,733 284,279 632,272 353,590 15 19,000 204,827 296,614 684,854 386,793 31 23,643 1228,184 3,379,417 6,781,830 3,392,675 5 188,785 72,904 372,796 672,595 309,607 7 6,732 74,383 535,425 845,227 322,883 21 20,393 510,810 1,320,847 3,114,488 1,751,515 5 65,862 139,054 900,751 1,745,446 844,696 13 83,580 119,184 521,832 1,123,938 595,872 13 15,528 134,184 (s) 246,934 520,684 274,377 28 9,454 212,408 96,706 219,440 116,807 18 2,786 162,592 178,192 383,814 204,689 6 3,287 1139,703 2,738,373 6,979,243 4,212,980 3 192,086 826,744 1,890,455 5,137,898 3,207,506 3 160,925 912,958 847,919 1,841,344 1,005,475 9 31,161 6485,437 79,940,306 144,439,389 65,294,558 1 4,784,288 198,348 16,302,964 28,801,370 12,611,861 1 518,963 12,161 1,932,880 2,616,788 689,993 12 29,802 32,807 2,898,980 4,538,360 1,641,945 1 53,721 22,232 761,192 1,559,040 761,897 3 20,867 265,044 6,596,360 9,476,324 2,977,301 1 146,218 41,446 336,110 499,501 163,416 1 11,250 114,602 1,409,747 3,438,461 2,047,095 2 86,336 37,336 1,842,255 5,922,643 4,103,173 1 152,276 24,319 D D 1,942,945 1 72,268 3D D D D S D S26,062 3,120,671 4,806,929 1,690,322 3 73,715 312,567 1,605,327 2,373,360 768,720 3 29,309 79,060 1,116,609 1,776,679 656,161 8 36,876 24,435 398,735 656,889 265,442 7 7,530 543,484 4,878,155 8,027,069 3,316,824 2 156,772 234,473 4,278,778 6,872,503 2,717,842 2 120,986 29,011 599,377 1,154,566 598,982 3 35,786 93,081 D D D S D S2,897 D 98,645 D S 611 1821,245 2,109,138 3,125,530 1,019,374 6 145,732 69,755 1,115,969 1,607,530 507,276 4 61,683 143,367 366,871 562,835 197,216 6 6,849 108,123 626,298 955,165 314,882 16 77,201 329,856 5,486,175 11,128,381 5,665,870 1 533,729 113,868 2,722,553 5,994,414 3,275,006 1 400,021 115,988 2,763,622 5,133,967 2,390,864 2 133,708 317,599 1,300,048 2,746,378 1,437,988 9 83,617 817,599 1,300,048 2,746,378 1,437,988 9 83,617 81,708 1,245,305 1,757,868 517,039 7 71,903 7

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1,708 1,245,305 1,757,868 517,039 7 71,903 724,629 8,084,084 15,200,610 7,239,477 2 467,475 14,443 1,991,616 3,486,961 1,557,185 2 97,001 44,945 1,488,413 2,255,672 789,856 19 89,023 41,636 545,374 1,067,560 539,116 2 81,589 12,107 235,135 1,138,400 913,681 1 38,466 13,179 942,232 1,645,639 697,504 6 23,267 23,328 915,105 2,793,521 1,889,222 2 73,824 44,991 1,966,209 2,812,857 852,912 3 64,305 232,884 4,813,643 8,186,630 3,459,015 5 199,534 724,998 3,466,655 5,835,832 2,418,635 7 162,149 87,886 1,346,988 2,350,797 1,040,380 1 37,385 1018,000 1,814,141 3,772,508 2,009,733 5 172,911 172,935 194,162 528,400 330,239 4 7,950 12,726 358,061 662,114 302,496 5 37,168 35,266 439,524 888,303 453,818 13 27,481 106,618 717,866 1,529,661 863,484 9 98,550 307,568 4,514,665 5,273,768 772,837 3 68,577 22,696 760,819 965,285 213,954 1 16,414 12,653 152,691 237,595 81,766 30 8,721 130,601 2,823,531 5,699,405 2,856,992 5 140,864 131,682 249,130 404,012 151,149 6 15,065 2412,297 1,137,176 2,258,791 1,128,647 5 42,707 152,873 473,266 877,008 399,400 1 10,998 61,607 124,008 226,744 95,924 10 3,914 136,297 247,948 685,771 430,244 14 20,745 271,514 143,640 247,880 105,028 11 4,420 194,680 418,859 1,003,166 590,837 6 37,455 (s) 44 (s)23,827 5,224,536 8,691,740 3,463,162 2 291,506 64,545 2,310,532 3,427,186 1,097,389 3 66,055 33,325 300,545 599,526 302,481 7 27,488 (s) 59 (s)1,642 131,354 290,423 159,739 8 3,390 57,450 1,039,599 1,866,648 791,076 4 47,461 21,664 589,429 784,115 222,588 1 120,415 14,164 769,380 1,544,523 788,716 4 20,092 54,932 858,469 1,963,852 1,130,302 7 45,110 2710 137,441 335,166 198,473 1 11,533 1862 359,461 646,730 291,867 22 17,690 22,245 238,361 752,608 530,902 7 7,212 1116,398 3,370,321 5,328,907 2,039,482 3 80,953 11,633 133,731 D D S 1,915 12,676 412,604 D D S 15,666 15,193 1,402,461 2,111,343 765,388 2 20,499 16,895 1,421,526 2,305,620 921,360 7 42,872 252,386 10,553,146 22,128,851 11,699,454 1 1,590,999 1D D D D S D S2,539 217,605 D D S 5,644 214,294 3,620,293 4,854,683 1,272,542 3 D S

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23,817 4,886,664 8,985,586 4,166,141 1 186,881 72,195 D D D S 10,022 92,939 1,065,157 1,602,783 523,785 1 27,809 114,774 802,272 1,784,039 980,632 6 12,295 67,534 373,305 765,816 386,914 6 4,299 65,726 289,846 699,042 414,281 13 6,397 111,514 139,121 319,180 179,437 7 1,599 713,625 826,024 2,177,843 1,366,369 7 56,108 26,212 449,270 1,196,081 749,354 10 39,446 17,413 376,754 981,762 617,015 8 16,662 612,693 6,311,436 7,635,049 1,438,536 2 99,705 45,165 538,488 1,013,392 484,124 3 28,891 102,574 79,137 190,290 110,946 8 4,576 872,336 11,758,100 22,953,057 11,434,735 2 857,772 123,452 5,156,169 7,751,121 2,603,394 1 231,926 3D D D D S D S11,497 1,231,134 2,213,757 952,475 3 84,886 74,428 2,325,698 2,940,639 652,043 1 60,122 11,725 485,403 625,138 134,562 1 6,558 18,322 827,563 1,270,210 456,499 5 D S4,250 413,208 634,330 229,666 6 D S3,540 368,733 564,851 200,399 5 D S3,269 606,624 956,005 350,063 1 D SD D D D S D S1,435 50,924 D D S 2,247 31,435 50,924 D D S 2,247 33,115 708,784 1,304,867 603,285 1 D S2,556 156,454 375,995 218,906 3 6,436 82,492 152,216 368,393 215,471 3 6,278 81,629 D 200,918 D S D S6,875 474,645 976,297 504,444 9 28,214 241,819 81,757 (s) 221,493 141,161 32 11,085 (s) 61 (s)2,712 207,796 421,781 224,610 1 12,212 13,955 355,817 786,985 443,026 17 139,560 31,594 172,577 347,543 (s) 178,838 (s) 41 (41,045 118,481 1,243,944 D D S D S7,805 1,163,373 D D S D S2,593 287,622 504,662 221,772 6 8,300 12,119 (s) D 251,901 D S 3,580 (s) 44 (s)1,712 D D D S 3,149 19741,692 161,026,448 274,461,716 114,856,338 1 7,823,286 3109,168 26,322,023 42,254,785 16,023,963 1 934,932 31,452 595,681 1,034,744 440,895 7 17,475 209,291 8,353,742 13,052,198 4,687,045 1 238,031 111,863 1,898,648 4,209,040 2,338,481 1 118,807 48,229 1,119,617 2,140,051 1,012,857 12 75,566 314,981 1,862,458 2,657,079 811,309 17 55,575 1133,779 7,024,498 9,357,067 2,377,548 4 115,358 5

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23,013 1,937,210 3,886,130 1,960,369 5 155,627 615,980 3,446,725 5,742,901 2,303,088 2 153,429 94,402 1,197,904 2,597,919 1,404,064 1 51,792 5D D D D S D S4,800 186,103 388,845 200,420 8 5,485 51,555 77,891 165,990 84,055 15 1,499 13,245 108,213 222,856 116,365 8 3,987 72,141 70,455 219,973 149,759 11 3,642 221,642 47,154 172,304 131,409 11 3,193 259,758 717,792 1,284,824 570,812 6 21,128 117,781 485,008 925,527 450,025 7 15,372 1523,961 2,864,300 5,281,374 2,424,664 7 137,473 623,277 2,602,169 4,806,591 2,213,333 8 127,646 741,097 2,401,434 5,816,722 3,447,458 3 158,152 841,097 2,401,434 5,816,722 3,447,458 3 158,152 86,626 35,516,124 43,528,276 8,198,060 1 964,892 16,626 35,516,124 43,528,276 8,198,060 1 964,892 146,856 18,842,570 39,854,654 21,202,128 1 1,148,059 17,935 5,543,947 9,313,495 3,747,655 1 277,928 15,187 2,994,482 4,417,709 1,415,959 1 124,669 412,339 4,047,661 12,749,123 8,858,661 1 395,344 16,640 1,751,157 3,340,941 1,590,379 2 35,485 58,753 2,588,885 6,660,792 4,073,371 4 193,644 55,240 1,076,593 1,867,823 803,257 4 82,785 265,146 8,159,317 14,218,938 6,112,486 1 634,086 455,680 6,255,402 11,420,281 5,221,094 2 473,892 59,466 1,903,915 2,798,657 891,392 2 160,194 118,329 1,746,451 3,715,214 2,004,929 4 133,137 63,262 312,498 697,845 391,707 2 28,112 18,526 721,684 1,554,555 846,693 7 57,944 94,990 491,176 1,154,623 677,724 7 40,440 1634,103 9,937,913 13,971,601 4,222,622 4 444,876 (s) 44 (s)9,851 3,109,091 4,780,534 1,719,824 1 58,329 15,845 3,048,087 (s) 3,711,106 (s) 708,526 16 261,154 (s) 74 (s)2,775 875,094 1,059,909 190,110 (s) 43 (30,189 125,183 2,171,490 2,868,802 759,596 4 36,589 710,449 734,152 1,551,250 844,566 4 58,616 10128,399 10,819,805 21,927,242 11,394,341 2 782,405 413,239 1,469,695 2,746,211 1,316,977 5 88,050 74,091 141,692 (s) 388,241 246,308 22 22,470 1317,404 1,302,797 3,012,935 1,706,931 5 107,949 77,714 1,193,947 2,075,744 911,048 1 39,667 61,639 245,388 493,800 253,653 19 9,171 125,521 350,520 799,477 458,841 6 25,431 1240,755 2,186,084 5,178,183 3,083,035 3 208,467 810,888 731,055 1,623,234 910,571 7 88,001 1427,148 3,198,627 5,609,418 2,506,978 2 193,199 1294,838 15,777,573 32,931,267 17,456,991 1 839,434 1

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26,680 7,652,805 16,980,298 9,556,889 2 413,960 18,019 900,350 1,941,680 1,032,698 2 41,344 116,180 855,925 1,779,330 950,221 7 36,492 127,471 572,101 1,200,599 633,279 10 16,186 716,098 987,296 2,290,940 1,364,413 3 78,214 1011,027 2,088,500 3,574,249 1,489,476 2 172,512 119,364 2,720,596 5,164,171 2,430,015 7 80,726 426,955 3,812,360 9,577,176 5,741,421 2 228,472 21,348 435,596 1,005,161 566,909 1 13,834 14,513 1,023,430 2,882,412 1,854,209 1 23,060 611,724 760,176 1,538,810 769,676 12 108,834 38,848 1,548,284 4,004,178 2,448,353 3 81,106 523,260 3,025,274 6,051,867 3,072,226 2 179,798 84,679 D D 530,202 5 11,294 33,331 D D 433,211 1 30,200 18,638 1,128,164 2,115,435 995,288 5 66,360 146,613 1,001,523 2,093,627 1,113,525 4 71,944 1555,412 15,491,655 21,505,538 6,021,478 3 824,938 211,259 8,963,822 10,143,958 1,117,757 1 417,310 13,678 401,774 596,878 178,241 20 10,103 128,622 3,792,541 6,265,036 2,491,700 5 212,340 35,524 677,804 1,623,414 958,625 2 51,995 193,794 1,325,909 2,314,379 1,041,118 2 123,349 31,843 257,817 (s) 444,898 (s) 189,050 (s) 45 (6,965 (s) 48 (s)16,095 983,270 2,051,296 1,077,425 9 36,092 67,426 245,436 614,135 366,179 25 14,127 147,328 645,704 1,237,159 602,789 4 19,572 628,091 2,838,575 6,766,509 3,933,358 5 285,885 1410,602 706,643 1,843,333 1,141,726 12 40,896 2017,489 2,131,931 4,923,176 2,791,632 5 244,988 16643,388 136,139,159 229,798,793 95,283,700 1 5,068,390 146,436 12,579,586 20,334,423 7,881,007 1 326,269 31,878 948,873 1,575,568 627,821 2 19,808 64,610 4,305,662 6,380,092 2,127,437 1 72,626 12,188 230,049 346,970 129,554 1 6,071 114,471 766,290 1,341,386 567,064 11 30,144 173,867 1,292,516 2,101,559 812,281 2 33,861 1514,246 2,767,753 3,760,847 1,023,572 3 38,508 29,437 1,107,435 2,154,156 1,071,918 2 48,265 85,739 1,161,009 2,673,844 1,521,361 1 76,985 12,900 1,347,760 2,436,866 1,086,479 4 39,845 4D D D D S D S2,791 125,260 248,512 126,997 8 4,891 41,092 D D D S D SD D D D S D S21,180 1,499,571 2,362,701 865,917 6 47,162 72,688 219,565 319,919 101,068 24 9,488 205,051 497,732 719,507 227,871 3 18,761 7

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13,442 782,275 1,323,275 536,978 9 18,913 1215,871 2,457,553 3,901,279 1,450,497 2 95,892 514,956 2,210,347 3,481,617 1,277,378 2 60,367 821,165 1,227,138 2,807,036 1,593,581 3 76,199 1121,165 1,227,138 2,807,036 1,593,581 3 76,199 114,963 14,390,476 19,839,664 5,714,463 1 183,161 14,963 14,390,476 19,839,664 5,714,463 1 183,161 122,796 11,521,459 28,518,045 17,213,075 1 587,530 23,383 2,761,206 3,874,394 1,153,972 2 222,445 14,083 1,789,283 2,176,452 418,222 7 112,232 78,067 5,109,237 18,696,642 13,733,325 1 191,180 31,489 261,689 484,294 217,326 18 13,810 (s) 42 (s)1,902 426,941 1,448,319 1,020,346 1 24,413 13,583 1,124,120 1,752,728 632,210 1 21,383 154,200 5,598,060 9,099,001 3,548,745 2 299,417 743,462 4,389,573 7,584,381 3,226,785 2 237,274 910,739 1,208,487 1,514,620 321,961 4 62,142 619,543 1,616,181 3,318,744 1,732,885 3 148,411 36,422 471,165 940,833 474,611 4 82,348 28,053 619,587 1,317,447 700,126 5 39,286 123,196 254,727 625,639 391,410 9 14,404 570,151 25,178,142 34,381,672 9,606,137 1 544,455 235,853 17,566,339 23,202,220 5,983,316 1 261,021 14,125 885,181 1,269,699 402,626 6 35,070 108,859 2,762,942 3,993,615 1,247,991 1 75,361 54,976 2,562,026 3,246,019 704,055 7 72,157 816,338 1,401,653 2,670,119 1,268,149 2 100,846 1073,948 6,968,456 13,864,000 7,026,979 2 340,434 37,768 1,052,900 1,772,052 740,254 6 43,318 1012,426 1,234,036 2,053,364 831,793 7 39,595 163,591 659,614 1,033,064 362,120 5 34,394 31,753 (s) 316,918 722,449 411,651 10 7,091 85,270 362,609 676,858 321,791 15 14,320 1118,075 854,459 2,023,833 1,199,717 6 81,574 810,272 1,084,049 2,615,932 1,554,449 2 59,895 713,646 1,350,529 2,819,295 1,509,657 2 58,300 447,144 6,824,567 11,964,395 5,240,343 2 582,354 74,748 754,542 1,195,005 452,999 5 192,849 12,658 257,947 546,124 304,261 15 12,835 202,192 191,252 413,648 231,617 15 7,132 127,869 967,622 1,822,406 868,230 1 44,496 27,999 300,802 829,118 531,996 6 59,976 (s) 46 (s)10,606 2,561,671 4,126,412 1,586,350 6 204,897 1311,071 1,790,731 3,031,681 1,264,890 4 60,170 516,261 3,019,881 5,483,194 2,500,844 3 95,524 161,860 684,675 862,014 247,715 1 10,624 14,541 D 1,000,705 D S 27,183 106,683 911,355 1,887,558 939,099 7 41,395 37

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2,455 D D D S 13,601 110,011 1,271,748 2,419,048 1,157,052 7 27,503 51,742 225,466 313,201 88,649 4 2,943 53,943 241,609 776,864 550,421 14 11,214 133,444 682,346 1,106,654 420,067 6 10,482 3149,999 35,444,336 55,487,279 20,183,231 1 1,248,722 121,699 13,669,139 20,922,502 7,261,849 2 498,069 140,649 6,092,592 8,283,456 2,209,759 4 69,484 272,229 13,062,559 20,725,408 7,745,264 2 569,523 17,294 889,181 2,857,167 1,986,900 1 88,229 54,253 494,284 794,352 300,068 2 2,222 103,252 1,130,912 1,739,647 619,125 2 16,355 2927,752 1,868,699 3,598,696 1,700,990 4 44,739 515,739 1,132,797 2,113,819 955,993 5 29,133 49,918 595,584 1,242,873 645,061 7 14,533 132,094 140,318 242,005 99,937 5 1,073 533,582 2,902,949 9,119,723 6,315,387 2 361,190 120,479 2,143,395 7,379,189 5,335,445 1 320,956 113,103 759,553 1,740,534 979,942 8 40,234 7282,172 63,139,221 102,190,641 39,374,152 1 2,230,714 182,680 26,850,148 37,816,817 11,044,811 1 661,993 23,615 2,491,924 3,732,993 1,250,482 4 80,955 99,247 10,155,131 14,206,398 4,012,732 1 248,353 34,425 637,084 863,438 226,808 1 21,009 15,704 1,622,011 2,231,162 620,721 5 41,102 1050,093 10,530,024 13,987,276 3,545,804 1 173,720 12,825 203,589 487,786 280,887 1 13,222 65,835 1,166,587 2,214,880 1,055,970 3 78,804 71,997 D D D S 1,216 2811,205 710,512 1,468,670 757,565 3 19,041 610,103 611,591 1,275,913 664,785 2 D S5,618 639,767 1,633,589 1,009,389 3 37,772 3D D D D S D S9,760 461,390 1,132,513 676,329 5 31,079 149,760 461,390 1,132,513 676,329 5 31,079 1412,176 9,310,024 16,841,806 7,574,496 1 354,689 54,565 7,270,242 10,415,257 3,177,928 1 184,008 91,561 461,480 996,699 545,596 6 51,781 11,971 D 903,563 D S 36,019 201,119 D 639,066 D S 21,563 2520,260 2,551,716 4,341,340 1,813,320 3 153,986 1114,016 1,386,671 2,451,890 1,078,326 5 90,808 196,243 1,165,045 1,889,450 734,994 3 63,178 57,511 688,034 1,575,243 885,214 5 44,281 63,748 352,132 643,815 285,252 14 19,614 1312,432 3,188,590 4,635,164 1,528,681 1 146,118 14,314 998,206 D D S 29,873 15,383 364,376 794,037 445,119 2 29,476 1

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24,922 2,081,092 4,062,836 2,012,763 4 122,512 71,898 142,592 266,372 126,419 9 6,870 137,182 634,642 1,238,894 619,965 5 24,901 66,359 368,591 768,160 407,899 12 35,062 254,553 457,290 872,411 413,708 12 24,100 648,345 10,743,930 16,727,851 6,141,543 1 384,277 228,591 7,877,082 11,854,387 4,067,633 1 282,540 21,647 215,455 442,721 231,593 5 7,066 42,745 232,418 461,511 232,396 3 5,974 5D 304,848 637,526 331,787 6 3,581 1D 83,352 202,778 113,964 22 8,166 153,479 966,228 1,112,846 183,330 1 25,449 18,472 1,064,546 2,016,082 980,841 2 51,501 127,297 1,074,756 3,040,550 1,902,341 1 81,846 46,046 931,262 2,758,810 1,772,911 1 70,224 17,240 1,149,604 2,061,986 825,050 1 66,852 1D D D D S D S1,345 216,653 386,856 171,227 1 7,642 114,749 1,843,583 3,128,809 1,313,125 9 70,906 68,022 740,716 1,140,536 419,575 5 18,618 164,356 (s) 496,107 1,233,286 742,552 16 40,588 78,371 527,882 1,236,455 714,827 2 19,115 72,894 D D 170,560 6 2,541 105,145 366,160 860,334 500,252 1 15,581 94,860 327,080 972,302 641,894 9 17,069 161,326 41,660 (s) 152,919 (s) 112,827 (s) 44 (2,569 223,534 285,420 819,384 529,067 5 14,500 18214,977 53,447,910 84,006,054 31,394,393 2 2,492,856 148,634 15,976,446 21,550,981 5,620,247 2 209,022 12,933 944,235 1,866,998 921,150 1 24,020 21,743 1,642,781 1,953,942 316,011 6 49,166 3D D D D S D S2,859 319,662 410,612 90,982 1 12,029 133,022 12,002,590 14,318,884 2,354,736 6 75,221 23,253 376,988 1,125,950 753,304 1 5,377 12,830 463,067 1,444,195 979,376 3 37,526 32,427 268,776 407,686 129,886 12 4,089 132,227 245,478 372,764 128,375 12 3,525 152,267 365,002 537,810 173,232 2 16,641 11D D D D S D S10,180 514,561 1,430,825 912,616 7 50,226 3010,180 514,561 1,430,825 912,616 7 50,226 302,732 10,599,149 12,761,945 2,597,665 2 417,677 12,732 10,599,149 12,761,945 2,597,665 2 417,677 19,635 2,957,758 6,551,332 3,653,507 2 191,647 22,120 1,292,136 1,940,852 690,781 8 51,614 22,996 546,597 1,709,148 1,172,072 3 67,089 42,445 402,719 945,801 546,988 2 27,973 6

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19,150 1,754,615 3,231,771 1,497,460 3 96,098 313,496 1,312,954 2,393,739 1,097,094 4 62,956 45,654 441,660 838,032 400,367 1 33,142 47,333 537,602 1,100,455 568,417 5 54,484 63,937 303,914 559,791 260,376 10 26,623 121,361 93,404 256,750 160,732 1 16,825 12,792 461,379 734,018 286,320 2 24,132 11,952 161,938 347,735 192,147 2 8,480 418,601 1,589,865 3,128,634 1,570,544 4 105,546 57,157 673,063 1,167,650 506,140 5 17,046 111,949 223,673 417,193 198,646 2 6,804 43,951 232,357 587,566 356,692 12 23,765 202,550 233,726 506,963 279,495 9 35,750 222,062 3,249,292 5,875,543 2,676,893 17 209,060 89,667 1,828,471 3,427,662 1,637,005 27 137,311 121,211 189,554 361,511 173,667 18 18,303 43,516 575,926 725,555 153,841 1 20,144 14,802 374,223 811,127 434,000 4 15,313 54,382 2,011,174 3,472,190 1,438,858 1 39,453 22,609 1,457,622 2,400,910 913,911 2 26,061 15,013 474,192 1,050,046 582,119 5 20,111 62,689 345,681 583,415 241,054 5 9,644 848,234 11,878,791 20,578,978 8,907,466 1 1,032,538 1D D D D S D S2,871 419,170 D D S 7,113 16D D D D S D S34,002 6,107,081 12,436,069 6,522,712 1 D S3,590 169,353 415,574 242,939 17 8,099 222,400 (s) 84,931 234,121 146,216 28 5,346 305,112 226,911 554,084 321,241 9 7,438 92,061 58,080 186,578 127,492 19 867 83,051 168,831 367,506 193,749 9 6,571 10306,814 81,177,653 118,157,959 37,451,040 1 3,288,857 140,075 6,922,560 11,803,211 4,936,501 2 343,489 76,556 1,131,951 2,076,846 944,936 1 105,467 12,986 791,258 1,135,246 346,117 1 42,494 116,821 1,866,679 3,083,729 1,236,494 4 36,064 28,511 923,888 1,802,969 884,394 7 109,230 233,079 812,851 1,544,797 738,490 1 26,660 85,106 1,336,180 3,826,989 2,523,429 1 102,510 14,005 D D D S 88,330 11,644 D D D S 5,894 12,119 60,802 112,563 49,729 22 749 (s) 68 (s)D D D D S D S15,390 960,360 1,569,942 617,019 5 41,774 63,851 D 475,634 D S 11,220 1610,594 630,088 1,044,678 415,259 6 28,118 513,911 2,921,330 5,013,754 2,130,402 1 106,030 7

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2,504 900,719 1,786,652 892,913 1 24,184 111,407 2,020,611 3,227,102 1,237,489 2 81,846 915,570 698,537 1,766,589 1,057,140 23 56,247 1615,570 698,537 1,766,589 1,057,140 23 56,247 161,361 D D 1,144,142 1 D S1,361 D D 1,144,142 1 D S17,091 7,723,089 12,415,354 4,817,691 1 391,535 15,588 2,869,926 5,598,668 2,750,934 1 235,130 23,891 2,705,065 3,137,035 470,337 1 76,076 12,262 928,573 1,489,353 588,345 2 16,084 72,591 719,686 1,266,109 583,339 1 31,966 11,956 438,667 717,300 279,391 1 26,776 127,527 2,590,027 4,441,183 1,883,076 6 194,430 1225,003 2,331,612 4,002,252 1,697,329 6 185,433 122,523 258,415 438,931 185,747 5 8,997 1010,331 973,981 1,813,461 861,078 4 266,485 23,239 397,728 663,352 271,676 1 D S3,182 217,317 398,283 184,825 17 21,236 121,592 95,254 219,318 127,385 7 15,932 3619,575 11,152,483 13,981,581 2,837,568 1 249,038 16,489 4,813,494 6,040,902 1,224,556 1 46,331 17,227 4,972,541 6,103,773 1,136,640 1 141,437 13,182 227,276 438,934 209,794 1 22,228 130,404 2,678,464 5,172,164 2,515,259 3 169,264 63,697 460,030 845,692 386,922 3 32,679 47,129 578,125 1,102,234 562,220 5 34,878 211,662 194,702 386,762 194,473 2 9,629 45,052 588,241 900,864 321,867 4 39,038 45,819 397,685 817,908 429,116 12 23,922 211,817 42,075 139,926 98,757 18 4,887 254,259 314,445 751,805 397,629 6 21,243 1619,783 3,167,895 5,567,177 2,463,071 1 137,117 12,574 712,965 1,366,649 672,466 1 74,483 13,688 275,865 676,432 417,968 3 8,806 92,547 194,997 366,063 181,078 4 9,809 122,268 339,040 455,500 130,286 1 15,846 17,165 1,472,145 2,371,832 903,328 2 22,316 32,569 D D D S 9,705 178,173 1,390,382 2,380,010 1,001,879 3 55,178 11,663 192,203 378,924 188,999 1 9,626 1D D D D S D S2,566 656,934 928,171 271,726 1 11,876 162,829 27,441,368 34,732,006 7,376,265 2 1,053,095 125,015 17,595,938 21,308,766 3,741,475 1 699,771 11,862 232,244 331,308 101,334 10 3,445 230,918 8,860,322 11,871,361 3,076,731 5 313,796 32,297 547,205 865,994 325,580 1 26,948 14,874 D D D S 8,208 15

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2,497 D D 199,380 7 2,794 131,878 D D 92,799 22 4,841 246,116 360,569 803,141 448,724 4 15,275 32,598 124,651 297,542 171,779 8 4,385 53,518 235,918 505,598 276,945 4 10,890 3183,011 208,996,418 269,457,727 61,378,222 1 3,785,277 122,251 5,308,702 8,834,844 3,488,335 2 211,690 33,675 1,134,605 1,499,141 380,748 5 104,440 61,958 386,954 607,429 211,762 9 9,603 111,410 340,532 477,856 139,342 1 4,990 16,919 469,872 837,487 378,909 7 19,920 81,789 107,367 299,310 193,317 5 6,714 43,184 1,289,615 3,165,374 1,817,449 4 32,100 1110,816 982,695 1,501,141 528,853 4 60,622 113,645 336,122 540,449 207,388 6 20,022 175,397 571,256 814,098 248,280 6 38,289 1511,635 2,692,850 5,300,006 2,613,749 1 232,584 17,267 1,946,822 4,140,338 2,203,870 1 210,925 14,368 746,028 1,159,668 409,879 2 21,659 63,982 145,727 378,162 231,592 13 18,877 233,982 145,727 378,162 231,592 13 18,877 2313,012 148,030,211 165,598,355 18,043,903 1 1,047,904 113,012 148,030,211 165,598,355 18,043,903 1 1,047,904 127,535 41,516,185 68,285,373 27,054,583 1 1,719,256 117,047 29,881,722 44,682,074 15,021,474 1 988,125 13,643 5,228,706 7,971,452 2,742,385 1 121,006 13,333 2,699,296 4,846,293 2,162,411 1 385,673 11,773 D D D S 171,455 36,865 701,642 1,303,459 612,221 3 40,793 65,034 597,272 921,092 328,579 5 28,457 91,831 104,369 382,367 283,643 1 12,336 17,225 476,814 1,154,415 725,122 7 39,048 162,296 83,445 284,438 201,631 1 14,418 14,082 307,927 625,525 318,960 17 20,713 303,879 983,948 1,729,575 803,732 1 52,740 130,338 2,058,846 4,461,885 2,430,170 3 137,610 910,402 642,575 1,361,838 707,274 9 32,178 53,096 183,399 370,480 198,285 8 8,114 67,612 235,356 846,147 619,412 6 51,716 227,336 675,556 1,366,831 704,701 1 32,332 210,951 1,676,178 3,088,772 1,445,120 5 88,264 75,952 1,164,921 1,980,073 852,553 6 59,970 41,408 119,925 301,794 181,665 1 2,460 11,531 113,248 238,647 127,808 33 4,642 61,115 83,668 273,898 188,186 18 D S1,921 270,762 529,650 237,566 5 14,007 924,092 2,956,127 5,186,346 2,258,627 1 86,017 1D D D D S D S

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1,622 171,918 285,208 114,385 1 D SD D D D S D S15,929 1,214,582 2,384,367 1,169,784 3 39,849 31,298 74,066 162,090 86,385 18 D S3,926 423,278 719,780 302,293 6 8,501 203,158 D 652,266 D S 7,252 2365,321 8,005,699 15,784,952 7,834,152 1 641,289 16,520 871,150 1,752,548 890,766 2 52,194 22,869 277,320 577,802 302,006 1 26,695 21,634 130,539 446,005 320,364 4 8,431 71,441 322,001 1,138,026 814,466 9 20,499 161,441 322,001 1,138,026 814,466 9 20,499 162,293 134,720 281,840 149,221 1 2,976 11,975 103,759 232,525 128,884 1 D S5,600 412,366 762,678 350,529 8 32,308 32,286 201,250 360,393 157,265 17 10,863 102,591 145,214 287,133 144,407 8 19,248 110,975 2,589,339 4,028,140 1,471,608 1 328,326 18,967 2,364,687 3,325,176 993,242 1 301,180 12,008 224,652 702,964 478,366 1 27,146 12,111 88,537 210,174 119,182 11 10,658 102,111 88,537 210,174 119,182 11 10,658 101,434 229,119 586,389 354,836 1 20,019 63,415 343,570 687,754 342,775 6 18,901 143,250 325,176 655,073 329,197 7 18,720 141,572 117,435 233,558 115,694 12 8,667 146,628 495,791 1,183,922 686,670 3 32,195 121,466 142,726 269,266 128,478 13 3,438 (s) 42 (s)3,049 147,148 398,252 251,494 2 17,778 152,692 241,314 534,826 305,429 8 24,314 34,291 385,991 1,095,451 705,555 1 33,334 1665 44,485 108,126 62,311 1 D S2,330 109,506 348,358 236,938 1 20,903 11,220 228,437 629,353 400,362 1 D S10,187 1,278,165 2,417,823 1,146,334 4 29,940 1D D D D S D S7,409 651,124 1,415,803 764,680 5 13,831 33,040 162,860 321,627 167,040 11 12,111 291,867 73,812 148,494 81,742 9 1,931 181,173 89,048 173,133 85,298 20 10,180 35127,092 19,066,052 41,799,730 22,807,818 1 1,516,205 322,092 4,193,876 7,521,612 3,352,757 2 116,878 23,117 725,850 1,042,856 319,410 1 27,594 17,247 453,267 958,003 511,007 4 8,139 13,978 244,647 811,408 567,721 2 13,656 33,918 1,043,908 2,466,789 1,445,891 3 32,135 32,349 951,963 1,392,286 441,089 1 19,536 122,349 951,963 1,392,286 441,089 1 19,536 12

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2,634 248,329 440,859 191,601 11 6,146 205,194 613,565 1,055,576 438,933 7 21,963 31,608 250,260 D D S 15,947 13,586 363,305 D D S 6,016 1216,891 740,568 1,833,790 1,092,770 9 55,856 2416,891 740,568 1,833,790 1,092,770 9 55,856 241,710 (s) 571,770 954,653 389,041 13 11,882 81,710 (s) 571,770 954,653 389,041 13 11,882 811,428 2,784,837 7,488,719 4,734,295 1 169,840 31,870 595,659 898,464 321,956 6 44,357 73,956 604,166 2,697,530 2,093,651 1 79,809 32,045 580,224 1,042,726 469,432 1 9,615 12,257 683,282 2,236,095 1,549,509 3 20,037 136,747 751,962 1,587,159 855,877 17 52,921 176,158 695,298 1,472,854 797,129 18 50,274 185,685 610,348 1,215,595 606,713 6 38,017 93,636 351,660 789,158 436,152 9 27,142 123,863 686,086 1,124,585 498,054 1 13,951 1D D D D S D S10,496 930,825 1,973,107 1,035,159 3 116,976 (s) 41 (s)2,746 270,298 593,667 327,155 8 16,519 213,061 94,607 334,443 235,304 10 12,253 291,204 172,699 362,871 183,331 1 6,266 17,207 1,626,030 2,968,416 1,307,465 7 38,669 152,155 215,792 499,409 283,896 1 6,898 7D D D D S D S1,638 269,319 570,521 310,464 7 8,626 1410,175 2,209,058 7,561,056 5,338,998 4 754,277 12,165 636,490 1,966,103 1,321,864 9 D S2,817 177,396 460,224 283,325 3 D S4,379 1,299,434 4,887,632 3,581,068 4 141,918 12,259 212,629 462,425 251,647 3 12,015 106,645 819,551 1,701,719 891,763 3 26,540 14,671 460,919 1,087,056 629,242 1 D S4,888 413,488 889,316 481,924 4 9,158 131,562 156,109 334,588 182,721 8 3,228 211,530 69,884 202,257 131,345 8 3,609 261,797 187,495 352,471 167,858 1 2,321 14,006 D 1,004,458 D S 30,900 71,930 D 493,214 D S 22,391 32,077 218,760 511,244 279,244 7 8,509 22272,256 35,411,461 80,487,970 45,264,370 1 3,208,064 226,981 4,144,920 7,084,019 2,937,187 2 230,421 61,454 171,851 333,500 142,648 7 9,559 71,720 179,548 457,139 285,296 1 13,388 13,406 968,902 1,557,629 590,731 1 21,049 14,280 547,126 825,835 282,231 7 32,605 282,853 823,691 1,172,575 348,701 7 22,630 4

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8,383 513,871 1,061,377 548,417 7 40,723 134,407 776,121 1,445,390 672,558 2 84,751 132,115 799,778 1,475,045 682,389 4 63,032 72,115 799,778 1,475,045 682,389 4 63,032 73,960 488,701 794,697 298,401 7 27,270 62,993 413,123 656,102 238,828 4 17,274 91,466 (s) 109,930 210,689 98,302 39 3,875 102,236 91,745 201,600 105,238 12 4,326 111,990 D 145,632 D S 4,041 121,714 103,525 231,677 130,485 1 8,993 13,500 264,278 450,658 186,934 6 13,066 222,825 187,884 334,874 149,185 7 9,637 3011,435 1,816,486 2,896,100 1,088,179 9 72,258 82,892 473,608 806,951 336,263 1 17,953 18,543 1,342,878 2,089,149 751,916 14 54,305 1114,940 778,807 2,082,989 1,309,997 5 64,733 814,940 778,807 2,082,989 1,309,997 5 64,733 815,455 3,387,134 9,027,230 5,488,492 3 867,135 2876 358,318 738,012 378,269 6 D S2,170 767,018 1,003,658 240,025 17 D S7,230 839,160 4,471,860 3,469,593 2 103,678 111,318 600,526 (s) 1,106,777 500,687 32 22,326 (s) 58 (s)2,756 611,707 1,112,770 515,763 3 36,664 1219,742 1,743,422 3,623,233 1,880,789 3 103,956 418,355 1,645,835 3,408,610 1,762,140 3 98,209 41,387 97,587 214,623 118,649 4 5,746 176,819 549,552 1,210,615 668,566 5 30,474 51,580 D 214,836 D S 7,715 12,111 152,256 332,535 183,079 12 10,813 92,160 222,511 502,592 280,489 7 8,619 124,397 824,949 1,453,238 635,849 11 36,432 231,802 436,748 696,635 259,463 20 22,420 3843,134 2,915,917 8,321,505 5,476,387 2 295,778 93,299 465,714 882,161 459,800 2 12,281 75,015 373,146 2,138,714 1,768,300 1 84,366 46,723 456,365 951,953 499,159 5 22,051 1414,124 571,186 1,625,054 1,064,050 6 93,022 265,868 145,447 578,933 433,481 6 22,471 285,898 693,260 1,704,542 1,016,988 3 41,054 618,009 2,787,486 6,151,014 3,365,764 2 181,744 54,578 1,297,400 2,890,276 1,573,170 3 42,116 103,880 336,025 793,616 459,383 4 48,434 121,360 181,111 353,326 171,130 7 D S3,397 401,106 752,520 357,911 7 27,108 221,741 233,319 475,877 259,386 13 22,099 102,999 330,421 863,418 530,595 7 22,952 1141,428 8,683,271 21,623,605 13,083,882 3 794,587 41,268 (s) 2,499,324 3,940,724 1,531,089 8 94,907 16

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3,865 417,402 1,105,077 683,733 4 26,248 615,177 1,327,849 (s) 5,722,817 4,318,925 7 420,710 320,385 4,352,022 10,556,266 6,343,024 5 247,323 1111,156 1,705,279 3,172,117 1,491,574 9 92,768 41,987 182,957 324,756 138,232 34 10,721 11,938 260,926 568,165 308,097 4 7,294 156,891 1,206,490 2,190,301 1,010,816 12 70,619 59,044 1,122,465 2,052,490 932,218 2 64,122 52,445 323,125 595,116 274,756 5 18,923 175,078 635,977 1,135,918 501,630 1 39,856 14,864 287,586 689,253 398,306 7 18,198 211,982 99,181 208,923 108,015 20 5,142 172,146 125,010 318,496 191,940 9 11,678 3228,725 2,395,217 7,034,114 4,715,527 8 207,359 1213,542 1,011,239 3,561,326 2,609,070 14 107,205 1815,182 1,383,979 3,472,788 2,106,457 2 100,155 15677,944 138,097,878 220,698,333 83,918,703 1 6,824,346 339,094 7,937,847 15,106,738 7,239,980 2 444,209 22,488 1,005,072 2,135,404 1,128,409 8 64,016 133,661 545,967 1,039,454 496,036 1 42,212 18,799 913,371 1,553,036 658,785 16 112,842 25,449 2,060,777 5,240,557 3,212,382 1 104,787 58,907 2,131,458 2,684,173 566,582 1 48,801 25,699 475,971 1,065,556 590,055 17 45,642 33,731 566,669 1,079,089 516,097 1 22,668 155,204 1,220,311 2,462,175 1,241,233 17 227,740 (s) 79 (s)5,204 1,220,311 2,462,175 1,241,233 17 227,740 (s) 79 (s)2,919 127,794 336,811 209,456 23 4,149 31,488 74,554 147,367 75,320 4 3,005 413,749 1,173,636 1,903,008 718,191 7 D S2,948 355,445 528,406 170,259 13 9,614 113,823 359,673 549,802 193,408 6 9,729 66,978 458,518 824,800 354,524 13 D S17,290 3,146,706 4,970,893 1,853,173 3 124,279 66,878 1,673,664 2,704,996 1,057,114 1 76,062 110,412 1,473,042 2,265,897 796,059 7 48,217 1516,409 1,005,865 2,378,654 1,382,134 4 99,258 916,409 1,005,865 2,378,654 1,382,134 4 99,258 92,178 4,755,142 6,185,261 1,422,324 5 D S2,178 4,755,142 6,185,261 1,422,324 5 D S31,457 8,971,061 15,513,053 6,696,014 4 548,078 45,978 3,009,021 4,083,586 1,151,349 14 200,284 13,300 1,417,461 2,152,485 716,922 1 73,005 111,055 1,665,051 3,871,656 2,260,398 4 156,032 143,735 941,363 1,879,233 954,075 4 25,196 53,263 724,349 1,375,122 666,000 21 26,450 163,741 1,063,951 1,880,870 815,460 3 55,501 455,771 5,567,261 9,834,196 4,326,453 2 283,773 4

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49,727 4,926,947 8,676,238 3,799,697 2 262,340 46,044 640,314 1,157,957 526,756 3 21,433 1315,284 1,610,025 3,486,352 1,868,789 3 130,245 36,103 716,681 1,524,713 809,643 2 61,678 35,655 485,497 1,058,842 563,680 8 39,711 102,268 252,090 631,298 382,545 4 20,906 636,111 8,125,315 13,359,274 5,432,416 2 865,528 110,788 3,863,097 5,690,351 1,904,495 1 373,079 12,174 368,081 601,443 231,949 11 19,002 93,644 813,075 1,132,497 344,292 3 D S2,548 1,636,882 2,980,562 1,417,355 6 D S16,957 1,444,181 2,954,421 1,534,324 2 107,038 396,109 7,139,774 15,234,793 8,280,342 2 585,044 48,740 1,026,502 1,769,998 770,625 4 72,129 91,740 124,316 272,055 148,668 17 3,622 169,669 952,977 1,774,859 876,752 6 58,518 72,505 290,188 455,407 170,303 9 7,127 12,893 180,745 375,354 200,193 9 12,522 2636,354 2,514,686 5,501,058 3,016,239 3 244,229 616,211 550,315 1,954,081 1,419,338 4 95,761 1917,362 1,414,857 2,975,253 1,604,855 6 83,668 382,109 8,668,293 17,982,390 9,721,924 2 533,094 102,778 522,611 1,038,403 517,074 21 43,392 114,873 572,605 1,218,707 686,495 3 18,190 101,999 298,829 614,181 338,291 7 16,885 173,543 270,302 568,277 310,158 13 25,215 3245,108 2,489,706 6,072,626 3,735,699 2 279,082 197,774 1,639,957 2,848,776 1,069,867 4 63,882 616,035 2,874,283 5,621,420 3,064,341 2 86,448 818,880 2,441,225 4,300,681 1,881,512 4 110,265 55,998 563,074 1,059,383 502,691 7 27,599 210,959 1,673,303 2,835,688 1,176,963 5 76,485 511,959 1,868,028 3,473,776 1,626,829 3 88,895 102,660 D D 483,676 1 4,153 13,458 569,889 937,828 369,811 8 38,020 115,388 948,252 1,666,418 727,916 5 43,291 19194,863 70,711,287 95,008,733 24,443,960 1 1,954,072 153,348 41,646,684 52,314,124 10,727,301 3 845,506 13,353 383,366 564,153 186,263 5 12,708 1127,812 27,597,376 39,963,032 12,434,935 1 1,006,526 25,322 562,711 1,249,721 705,541 2 63,156 23,725 344,645 671,926 337,630 9 22,043 1920,679 2,210,321 5,379,025 3,187,163 13 122,651 75,858 327,290 692,371 371,966 8 10,222 1414,313 1,840,272 4,600,980 2,772,285 15 109,495 815,992 1,291,342 3,555,570 2,284,160 2 59,025 88,070 703,576 2,242,365 1,541,737 2 27,109 87,922 587,767 1,313,205 742,422 6 31,915 13

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381,623 68,245,706 120,796,093 53,214,498 1 2,928,114 175,660 18,438,486 26,811,708 8,427,402 2 518,471 4D 1,177,120 1,550,651 381,069 6 27,285 204,798 4,385,865 6,038,237 1,655,889 3 145,351 33,977 903,113 1,586,443 694,445 17 53,303 37,779 924,733 1,374,709 434,607 8 32,146 149,050 3,992,603 5,322,245 1,364,825 2 71,988 631,592 5,257,222 7,407,504 2,163,333 2 90,559 96,608 D D 535,685 2 51,360 338,943 1,179,017 2,348,350 1,168,754 3 43,495 71,903 661,493 1,038,976 381,583 1 29,343 11,903 661,493 1,038,976 381,583 1 29,343 11,694 D D D S D S1,959 D D D S 11,093 1D D D D S D S13,995 1,207,019 2,398,020 1,199,197 3 53,019 51,777 165,641 300,845 137,643 8 8,337 611,593 908,722 1,888,911 987,209 3 40,804 616,274 2,572,633 5,853,034 3,287,285 1 179,193 35,217 1,238,456 2,279,162 1,036,757 1 69,405 111,057 1,334,177 3,573,872 2,250,528 2 109,788 432,292 1,822,542 4,421,237 2,601,863 3 143,189 332,292 1,822,542 4,421,237 2,601,863 3 143,189 32,877 D D 3,715,742 1 D S2,877 D D 3,715,742 1 D S10,496 3,960,537 7,015,068 3,089,542 4 127,380 31,880 2,547,267 3,134,248 605,479 1 32,378 32,409 347,659 1,274,503 921,374 8 24,000 91,622 188,158 593,240 404,921 1 9,386 91,558 248,964 918,053 680,585 8 28,931 71,927 363,920 648,290 283,284 2 19,972 1318,527 1,682,200 3,231,388 1,564,254 6 111,756 716,890 1,548,062 2,946,395 1,411,705 7 106,055 81,636 134,139 284,993 152,549 9 5,701 812,030 838,714 1,936,525 1,113,511 3 64,315 53,891 147,372 370,842 224,760 3 16,201 54,016 379,277 747,037 370,595 9 29,496 103,898 307,648 801,322 499,597 3 18,446 310,750 1,266,702 2,252,780 1,006,161 5 81,320 207,747 376,111 1,017,207 646,456 7 57,810 2854,812 4,792,427 10,215,292 5,526,242 1 351,633 56,630 709,207 1,629,587 933,403 3 108,036 81,770 379,461 808,711 439,269 2 5,463 108,369 734,137 1,383,125 650,242 6 38,780 73,162 635,111 918,728 295,268 2 22,001 1918,518 762,530 2,054,934 1,328,809 3 109,467 135,396 162,821 477,209 318,321 7 15,585 288,396 1,153,353 2,395,450 1,250,706 3 40,977 339,385 5,328,641 10,313,009 5,074,677 2 352,379 2

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8,526 1,655,704 2,410,843 793,450 9 175,594 43,072 482,264 846,323 371,811 9 14,072 91,645 324,735 674,729 354,873 1 11,559 44,266 563,201 1,111,568 536,896 2 13,659 36,487 430,190 1,071,520 658,311 7 40,381 132,049 256,535 464,681 215,519 1 11,360 113,341 1,616,013 3,733,345 2,143,816 1 85,755 232,640 4,362,852 11,454,592 7,105,771 2 379,140 44,560 1,119,321 2,353,875 1,255,484 2 92,503 2891 118,312 348,933 232,158 7 D S11,533 1,161,652 2,394,262 1,262,807 4 127,771 1114,722 1,873,979 6,168,818 4,255,939 3 153,562 210,851 1,878,349 3,717,848 1,871,453 2 95,167 1D D D D S D S4,858 1,161,118 2,042,584 904,028 3 70,134 22,861 360,672 1,033,010 682,052 1 13,505 514,849 4,604,213 6,783,862 2,156,963 1 65,334 42,746 2,090,125 D D S D S3,005 475,455 647,102 203,141 12 11,202 23,433 365,525 656,589 292,108 4 19,979 121,040 159,084 297,583 130,900 1 1,614 11,678 156,265 279,044 122,779 1 5,371 122,778 1,330,160 D D S 25,261 110,600 D 1,359,903 D S 31,297 57,003 D 663,487 D S 11,420 33,365 310,021 634,264 325,077 11 19,056 718,529 1,464,671 5,384,577 3,949,521 8 181,358 711,228 1,008,217 4,184,484 3,208,212 9 143,546 77,302 456,454 1,200,093 741,309 4 37,812 20194,046 40,339,309 60,418,041 20,282,207 2 1,412,763 235,391 3,321,564 5,563,915 2,262,947 1 124,073 228,345 2,132,187 3,710,995 1,594,958 1 76,155 22,975 244,053 430,791 186,111 6 9,327 51,767 D D 135,725 5 11,719 121,732 D D 34,732 (s) 60 (487 2514,309 961,040 1,654,727 712,438 8 41,060 217,259 503,397 888,823 393,425 11 29,662 294,344 312,791 526,892 216,651 4 4,029 172,706 144,852 239,011 102,362 34 7,369 55,553 1,142,965 2,312,620 1,166,541 1 75,118 62,504 594,983 1,466,690 865,714 1 58,076 13,049 547,982 845,930 300,827 4 17,042 262,118 D 451,564 D S D S2,118 D 451,564 D S D S3,058 D D D S D S3,058 D D D S D S7,821 3,346,820 5,600,071 2,296,553 4 143,225 12,006 970,298 1,919,666 954,998 3 83,321 1

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1,363 89,507 309,223 219,680 37 7,566 19,907 1,245,794 2,529,246 1,287,327 3 57,355 46,501 866,984 1,323,966 460,528 8 36,804 63,406 378,810 1,205,280 826,799 1 20,550 24,827 324,638 689,771 371,911 12 12,266 122,463 152,789 349,039 189,603 20 7,538 195,191 1,561,430 2,727,654 1,190,520 1 85,968 11,481 234,644 389,839 154,973 1 12,493 114,350 1,331,828 2,522,771 1,179,426 3 60,387 74,535 476,159 779,691 289,252 11 15,433 182,756 369,625 686,308 306,739 1 16,214 12,168 80,553 224,176 146,677 6 7,520 382,179 154,584 394,405 248,747 6 10,790 1414,803 2,403,083 4,557,670 2,071,393 1 71,021 12,081 487,775 592,656 77,630 1 26,863 11,830 209,406 416,520 205,972 1 8,558 14,181 372,753 590,021 220,761 1 11,348 12,437 D D D S 7,568 13,620 851,973 1,951,013 1,097,484 1 14,436 12,071 D D D S 12,762 19,592 1,188,843 2,162,260 988,979 3 50,349 31,778 243,008 D D S 5,392 15,691 642,905 1,114,331 482,174 6 38,484 527,546 4,373,002 7,142,663 2,769,311 2 222,687 1D D D D S D S2,838 (s) D D 302,949 21 140,622 118,171 839,251 2,432,160 1,592,909 1 D S26,931 2,275,843 3,492,456 1,213,737 2 39,998 3223,275 2,009,988 2,976,281 962,768 2 30,011 (s) 42 (s)3,062 195,156 390,682 194,812 7 9,009 184,414 497,899 (s) 1,274,067 (s) 777,988 (s) 52 (43,134 (s) 69 (s)1,420 385,289 (s) 914,435 (s) 530,049 (s) 76 (35,317 (s) 84 (s)2,995 112,609 359,632 247,939 3 7,818 7330,407 62,838,873 107,622,640 45,345,817 1 2,309,354 355,864 14,080,664 21,424,167 7,443,527 2 302,729 22,531 1,756,620 2,680,672 926,451 5 17,282 63,364 2,875,923 3,505,846 634,484 1 20,565 62,552 D D 811,033 1 D S3,588 D 669,423 D S D S8,605 2,915,742 3,549,258 691,299 4 91,207 427,272 3,878,150 5,871,540 2,021,044 5 53,459 45,678 711,669 1,528,044 825,546 1 24,346 2D 943,527 2,358,707 1,415,964 3 36,244 164,029 1,183,473 3,103,725 1,916,415 1 110,598 2D D D D S D S3,039 135,834 273,839 137,383 27 6,169 62,262 79,966 186,445 105,565 36 4,674 72,971 D 174,725 D S 2,677 1

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2,554 D 138,695 D S D S1,901 181,186 310,316 133,562 1 7,598 18,983 529,251 998,390 480,186 8 20,398 62,052 190,636 284,735 96,980 17 6,100 66,082 290,871 626,751 343,144 11 13,384 912,299 2,075,437 4,886,256 2,814,236 2 149,263 6D D D D S D SD D D D S D S18,388 1,097,125 2,720,299 1,634,098 4 100,126 1818,388 1,097,125 2,720,299 1,634,098 4 100,126 181,474 781,898 1,074,944 294,382 3 38,034 41,474 781,898 1,074,944 294,382 3 38,034 421,847 8,130,476 15,437,663 7,441,868 7 465,679 33,411 1,059,585 1,692,808 628,702 3 78,638 42,472 1,644,057 3,395,907 1,868,309 25 80,446 193,826 660,297 2,022,082 1,351,226 7 123,991 12,294 396,814 952,995 558,002 1 19,470 27,026 3,734,635 6,399,954 2,692,943 1 133,177 21,873 457,814 720,302 266,402 23 22,263 920,874 2,013,444 3,702,782 1,724,454 5 132,129 415,934 1,588,866 2,902,510 1,361,720 6 120,961 44,940 424,578 800,272 362,734 2 11,168 510,876 898,333 2,022,136 1,116,704 4 118,552 21,772 104,004 315,789 212,371 1 D S4,729 428,737 748,314 311,168 13 53,909 31,999 219,577 545,518 324,219 4 23,899 211,020 2,763,269 4,159,273 1,405,634 1 92,745 12,073 392,571 616,166 224,366 1 11,632 12,318 778,992 1,111,644 335,908 1 29,305 11,666 1,205,138 1,743,327 537,012 1 16,406 14,829 281,960 574,917 296,649 5 33,321 340,917 3,332,157 6,557,088 3,265,899 3 149,183 81,542 (s) 247,075 413,637 188,675 16 8,176 510,815 862,582 1,706,988 850,947 4 32,772 43,258 595,461 927,342 346,457 6 29,414 82,959 290,532 521,746 219,217 8 3,907 58,792 300,851 790,857 505,068 10 27,543 162,058 68,775 234,446 166,728 10 6,485 1810,077 866,491 1,767,887 902,049 5 38,149 2936,490 3,488,064 7,613,832 4,292,982 8 198,178 91,337 321,625 527,528 218,724 13 65,086 31,462 179,162 374,845 196,865 7 11,851 (s) 57 (s)2,701 242,278 712,231 471,391 23 6,815 1213,111 1,178,620 2,187,491 1,019,185 1 48,843 53,613 130,192 401,301 274,152 5 13,880 93,752 466,087 837,419 394,574 34 12,598 1710,514 970,100 2,573,017 1,718,090 17 39,106 (s) 43 (s)7,029 766,955 2,600,508 1,858,736 1 60,094 4

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1,015 203,258 447,987 246,422 4 7,746 252,879 160,572 1,080,760 931,340 1 35,746 22,937 389,234 1,039,560 662,367 2 15,212 412,365 1,781,010 3,795,550 2,037,216 3 44,254 77,026 746,005 1,460,374 727,052 7 14,648 54,612 (s) 965,909 2,183,678 1,227,722 2 26,634 1242,199 18,546,167 24,368,786 5,806,833 1 213,117 8D D D D S D S2,659 274,453 420,931 150,393 7 12,148 212,403 2,721,589 3,752,005 1,054,809 4 79,810 512,486 D D 1,569,889 1 40,540 (s) 41 (s)3,341 342,120 638,278 296,158 1 39,820 16,802 326,283 764,249 438,755 4 10,417 235,126 229,115 554,556 325,297 4 7,830 301,597 91,195 198,039 107,776 12 2,534 1110,743 616,161 1,583,244 976,114 10 86,389 (s) 56 (s)5,904 403,085 1,050,934 659,633 12 73,783 (s) 65 (s)4,839 213,076 532,310 316,481 20 12,605 1218,535 8,583,564 11,659,388 3,309,452 3 276,613 52,358 557,824 872,879 313,004 1 12,773 13,761 424,885 614,337 215,017 12 11,015 102,003 183,695 263,478 82,036 10 D S1,517 5,544,109 6,567,756 1,185,363 1 139,633 11,517 5,544,109 6,567,756 1,185,363 1 139,633 11,984 168,340 316,379 152,270 11 6,385 161,902 159,518 350,909 200,325 1 39,922 11,783 81,170 199,220 118,550 7 4,692 10142,468 34,015,699 52,769,171 19,121,032 1 879,682 160,350 20,202,744 26,689,951 6,535,947 2 287,396 22,299 1,628,405 2,414,988 792,762 2 51,694 82,011 3,141,265 4,645,436 1,518,912 6 66,155 248,795 14,368,318 17,902,223 3,548,188 1 125,350 32,621 151,834 373,032 221,365 2 17,539 51,881 202,191 345,654 147,980 12 8,046 112,375 D 266,816 D S D S2,131 D 200,653 D S D S2,423 334,794 592,183 264,012 1 11,935 1D D D D S D S4,111 289,091 590,079 301,838 9 16,563 274,111 289,091 590,079 301,838 9 16,563 275,769 4,946,228 8,437,012 3,595,514 2 152,282 23,126 4,174,065 5,763,994 1,615,965 4 95,149 22,234 261,940 1,488,653 1,250,713 3 45,298 28,127 519,812 1,185,852 664,098 5 35,536 84,814 359,702 742,676 379,496 8 29,287 93,313 160,110 443,176 284,602 1 6,249 13,922 277,210 544,255 264,627 9 11,251 223,360 256,473 484,179 225,513 10 7,680 33

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2,146 708,671 1,028,636 330,153 1 15,063 111,743 1,118,094 2,113,258 1,034,246 2 59,354 104,206 532,626 885,026 367,348 4 26,117 171,822 58,841 175,314 118,149 7 5,364 321,863 66,691 193,608 133,196 1 4,265 12,589 242,114 448,387 212,345 7 19,687 1911,981 2,494,374 4,727,486 2,346,784 2 85,741 58,538 2,022,387 3,876,833 1,954,812 1 66,256 51,816 179,121 355,300 182,205 21 11,229 225,373 327,101 806,483 476,272 1 29,203 11,580 118,272 184,133 61,565 1 D S1,749 106,708 272,067 164,701 1 14,206 11,763 96,239 332,045 237,691 1 D S2,172 219,335 457,492 231,576 1 12,476 11,192 86,872 186,294 90,884 1 8,233 110,675 1,360,524 2,222,954 926,163 10 52,823 12,539 304,173 475,815 171,750 3 D S5,255 595,304 1,076,537 481,821 19 25,324 12,641 D 350,257 D S 5,947 71,737 D D D S D S7,241 477,214 2,150,291 1,665,839 6 86,657 2D 447,440 2,097,152 1,640,316 6 84,266 251,460 6,753,473 14,708,023 8,027,290 5 516,560 34,900 709,303 1,576,197 854,272 3 38,409 121,026 48,357 182,475 134,540 10 2,194 11,729 299,882 719,215 422,805 5 20,841 221,883 245,671 438,946 194,668 4 16,440 64,790 279,383 595,062 316,414 7 12,109 94,790 279,383 595,062 316,414 7 12,109 91,959 504,488 944,752 450,035 1 91,379 14,378 610,123 908,274 308,203 13 19,183 34,211 599,663 885,756 295,803 13 18,290 34,662 436,647 915,249 487,065 9 26,072 32,871 223,885 442,403 221,464 19 12,510 51,943 520,841 533,248 32,470 1 30,900 16,844 418,365 1,019,166 612,060 8 22,446 143,266 201,417 484,307 281,821 12 4,843 171,887 59,397 157,455 104,542 29 8,866 302,479 258,770 500,400 245,699 3 15,071 24,401 681,747 1,763,882 1,115,493 33 44,751 362,589 (s) 454,576 (s) 1,245,417 (s) 815,225 (s) 46 (26,811 (s) 57 (s)1,287 136,835 296,388 163,033 1 5,066 11,526 171,530 353,073 177,900 1 4,709 11,847 59,813 164,431 98,603 22 3,262 125,234 1,050,944 3,542,321 2,496,709 1 166,250 14,075 1,012,639 3,414,873 2,405,921 2 164,631 183,054 8,839,576 19,141,379 10,376,549 1 577,382 4

2,621 621,967 1,302,611 660,549 1 23,212 3

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2,190 131,090 283,045 149,249 1 17,046 1

2,687 211,366 401,018 189,474 18 6,143 361,789 126,050 225,445 100,338 9 2,639 263,297 202,739 412,025 211,904 14 20,338 213,297 202,739 412,025 211,904 14 20,338 212,872 266,865 594,206 330,661 1 32,058 11,765 127,922 328,020 205,258 1 21,842 16,371 489,130 998,043 510,893 5 48,454 144,384 339,848 710,796 371,134 7 39,000 171,987 149,282 287,247 139,759 1 9,454 12,537 182,991 454,455 273,176 4 13,957 73,169 194,163 423,543 229,186 1 14,831 62,620 79,133 257,569 179,500 1 10,078 915,810 940,603 2,431,457 1,492,770 5 84,031 102,071 152,450 321,982 170,680 14 5,504 124,894 172,766 569,763 380,637 15 42,325 196,365 460,476 1,211,757 767,538 3 24,014 210,406 1,545,561 2,939,955 1,458,899 2 110,053 71,786 435,711 835,252 414,388 4 23,360 62,936 372,429 699,674 370,799 1 22,306 323,748 582,400 1,063,580 482,946 1 19,309 410,602 1,789,903 4,159,465 2,383,632 1 103,792 45,818 493,575 1,011,854 523,524 3 35,119 123,804 1,076,412 2,654,817 1,592,861 1 59,922 15,848 864,131 1,633,002 778,138 1 18,459 33,952 542,662 1,058,770 526,755 1 14,585 33,165 188,147 432,423 224,875 1 D S1,872 75,631 190,431 113,890 2 D S1,500 58,472 146,417 86,552 3 D S6,958 419,326 1,255,006 833,168 11 24,294 153,286 148,460 660,689 508,573 16 12,506 243,672 270,866 594,317 324,596 12 11,788 16297,822 60,209,481 106,209,474 46,877,161 1 2,652,026 336,196 7,037,477 11,654,950 4,638,769 4 384,562 71,324 (s) 525,115 817,614 297,834 3 39,958 75,360 992,762 1,915,575 914,900 4 48,837 113,378 1,131,442 1,623,840 495,701 14 36,468 165,998 804,496 1,200,223 401,471 1 13,596 610,989 957,630 1,956,740 1,006,350 4 83,375 297,107 1,486,478 2,688,985 1,193,354 15 133,241 103,002 1,132,149 2,257,790 1,124,516 1 35,020 13,002 1,132,149 2,257,790 1,124,516 1 35,020 12,296 255,846 440,139 180,403 13 7,998 82,571 219,783 388,926 165,926 19 11,223 211,155 114,418 202,646 87,645 35 7,776 284,307 78,416 207,853 124,439 14 3,408 14,041 66,689 187,574 115,923 15 3,168 23,641 241,957 447,501 204,484 6 9,203 9

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3,003 195,872 363,029 167,132 7 7,078 1213,806 1,504,733 2,587,794 1,088,541 2 47,026 312,225 1,327,217 D D S 37,315 422,228 1,309,520 2,991,446 1,686,404 5 92,460 622,228 1,309,520 2,991,446 1,686,404 5 92,460 64,040 21,180,034 22,805,606 2,055,340 1 246,592 14,040 21,180,034 22,805,606 2,055,340 1 246,592 141,971 10,620,677 25,419,968 15,145,488 1 721,343 26,011 2,555,454 4,455,659 1,974,021 4 186,765 22,020 635,301 1,078,343 455,770 7 60,267 1814,515 2,647,996 9,231,348 6,814,788 1 244,554 12,270 579,634 1,083,845 508,024 4 24,254 3513,867 3,509,723 8,065,439 4,580,685 1 169,276 43,059 538,782 1,053,332 514,279 8 34,592 626,746 2,531,783 4,723,750 2,189,320 1 123,340 323,223 2,197,776 4,125,160 1,918,224 1 112,976 33,523 334,008 598,590 271,096 1 10,364 1814,546 1,285,420 2,705,541 1,404,613 6 132,952 127,305 545,847 1,226,327 668,697 9 85,555 184,637 447,692 862,800 412,931 12 27,889 41,672 211,232 430,094 216,332 7 18,733 16,392 1,474,440 2,226,174 742,258 4 70,740 11,993 599,760 894,314 271,959 4 12,447 11,698 161,631 332,855 173,957 14 10,518 129,794 2,086,165 4,617,028 2,616,789 4 127,453 154,359 224,214 500,067 312,171 19 14,452 277,440 701,981 1,299,291 598,132 3 25,802 191,906 234,356 385,763 156,929 6 11,263 101,796 115,210 243,271 131,236 2 5,453 (s) 41 (s)5,775 267,764 701,865 448,265 13 42,131 (s) 40 (s)2,925 90,501 322,556 232,894 9 10,209 325,299 443,259 1,116,955 691,166 6 16,649 1214,554 1,685,185 3,708,347 2,063,470 3 87,811 82,249 289,087 592,349 307,211 10 11,839 191,373 242,003 585,740 348,351 2 6,591 12,383 254,966 568,750 309,057 5 11,848 (s) 50 (s)2,060 90,633 241,370 151,198 14 7,813 215,377 548,370 1,220,723 695,879 6 23,525 325,537 3,009,091 8,046,381 5,132,381 4 319,231 232,752 320,532 830,761 519,307 11 17,294 16,243 673,586 1,820,212 1,172,917 15 196,091 3715,008 1,821,014 4,965,104 3,199,909 1 97,954 29,900 1,062,312 2,256,159 1,189,988 7 54,318 92,372 306,673 684,444 382,945 8 5,615 (s) 48 (s)2,952 214,933 506,765 311,364 9 11,909 104,191 477,807 958,272 450,686 15 33,186 113,970 384,532 786,797 410,383 3 17,498 11,364 119,906 297,979 180,740 1 D S7,255 431,972 983,541 538,819 8 16,727 20

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2,726 137,234 299,658 155,324 18 6,213 (s) 41 (s)3,562 184,597 473,553 290,547 9 8,661 2424,882 2,658,281 6,921,993 4,161,466 3 143,038 915,238 1,915,198 5,398,824 3,372,625 3 115,112 119,644 743,083 1,523,169 788,841 6 27,926 1334,455 10,984,874 28,584,814 18,406,986 1 1,188,146 17,277 2,412,913 3,164,221 726,112 1 76,606 11,580 108,079 218,662 109,841 3 6,382 12,216 1,690,540 1,874,893 188,187 1 19,756 11,321 D 505,490 D S D S2,619 192,770 363,781 177,162 16 20,089 (s) 61 (s)2,040 144,151 247,596 108,396 26 17,828 (s) 68 (s)3,384 277,292 473,655 211,739 12 8,349 142,072 D D D S 19,584 66,784 D D D S D S5,359 602,571 D D S D S954 D D D S 4,208 11,339 93,544 258,205 165,328 1 3,885 13,119 654,427 857,374 206,616 3 12,628 81,788 D D D S D S541,418 74,111,620 150,444,775 76,970,909 1 5,264,699 162,791 11,428,042 18,433,679 7,051,747 2 491,723 22,538 1,436,156 1,980,945 539,670 5 32,757 41,478 1,071,032 1,798,670 735,355 2 34,027 53,768 545,411 872,662 340,760 1 23,208 18,878 1,359,083 2,264,707 909,211 4 41,857 1012,169 3,920,141 5,371,479 1,470,111 2 196,510 25,938 810,238 1,336,598 526,885 3 20,639 919,349 1,148,057 2,491,946 1,344,779 5 65,259 98,305 1,059,896 2,215,391 1,161,651 5 75,787 97,208 1,603,627 2,953,022 1,371,263 6 92,001 127,137 1,588,652 2,873,998 1,307,935 6 90,334 122,944 447,927 743,029 303,960 10 21,813 71,942 301,476 497,884 203,439 6 19,018 85,546 413,655 750,915 343,451 6 14,520 111,373 164,952 263,831 105,636 15 4,997 244,173 248,703 487,084 237,816 6 9,523 1211,948 900,328 1,676,024 788,866 8 21,251 38,914 665,521 1,166,696 512,613 12 14,394 42,443 204,288 464,926 263,743 3 2,893 11,971 136,018 259,892 126,557 10 4,379 209,252 531,963 1,100,513 559,514 11 32,485 107,595 423,971 835,844 404,848 7 25,341 1221,983 3,339,094 5,659,025 2,296,579 2 150,466 57,398 1,655,615 2,614,772 930,119 1 56,740 114,585 1,683,479 3,044,253 1,366,460 3 93,726 829,399 1,651,784 4,348,701 2,673,844 5 127,588 629,399 1,651,784 4,348,701 2,673,844 5 127,588 6

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2,227 827,732 1,196,205 375,520 6 27,047 132,227 827,732 1,196,205 375,520 6 27,047 1345,200 10,475,426 29,709,006 19,187,063 1 858,183 66,596 1,234,598 3,749,354 2,523,410 1 200,165 2D 143,582 (s) 336,772 186,476 3 64,887 (s) 76 (s)21,926 4,744,503 15,677,460 10,847,527 1 325,039 11,571 266,136 562,366 300,987 9 9,551 85,626 845,343 3,408,333 2,591,260 5 117,826 18,311 2,986,227 5,582,892 2,592,063 3 134,158 633,739 2,789,863 5,684,790 2,887,254 3 225,599 1330,060 2,454,468 5,034,016 2,567,447 3 167,777 113,680 335,395 650,773 319,807 4 57,823 3721,962 1,576,272 3,831,973 2,263,094 4 260,843 3D D D D S D S6,441 347,071 979,573 642,729 10 148,055 57,887 651,421 1,447,449 801,115 4 44,007 85,018 420,932 1,058,678 630,493 5 57,237 716,080 7,745,769 8,816,226 1,145,318 3 594,960 22,464 854,520 1,209,056 383,157 1 48,168 14,348 3,618,468 2,893,045 S X 79,204 16,118 3,041,403 4,189,329 1,192,610 1 436,143 12,674 117,996 338,546 222,833 14 24,875 (s) 40 (s)72,836 5,056,592 10,737,771 5,768,580 2 331,822 53,834 258,719 534,606 283,110 10 21,761 152,596 174,172 339,028 159,123 5 6,619 1415,714 1,107,971 2,198,870 1,097,615 4 46,845 96,685 940,761 1,656,411 714,235 1 64,740 11,925 101,392 244,936 143,979 1 1,329 121,237 825,129 2,201,505 1,422,055 7 94,434 126,670 319,218 786,608 470,696 8 31,802 2513,126 1,282,973 2,651,675 1,400,678 2 62,374 1145,634 6,892,863 13,559,209 7,027,595 1 350,306 22,476 370,510 651,674 302,897 8 89,806 15,898 1,059,762 1,916,540 860,029 3 22,756 73,381 352,767 865,904 527,096 6 33,295 174,634 361,144 749,676 387,315 5 8,363 16,273 360,207 958,825 663,188 7 29,605 117,070 2,095,857 3,613,409 1,618,727 2 55,010 415,903 2,292,615 4,803,180 2,668,344 1 111,471 339,181 6,382,832 15,731,639 9,333,979 3 1,059,621 3S 637,839 1,262,618 606,082 (s) 40 (14,868 276,250 1,258,976 2,624,878 1,343,298 1 98,308 121,463 1,847,053 6,524,589 4,672,579 2 821,898 111,233 2,558,895 5,100,947 2,572,655 5 120,242 2217,453 2,137,023 4,232,652 2,105,012 4 106,079 7D D D D S D S5,509 840,855 1,414,919 561,598 8 41,981 157,827 938,208 2,032,688 1,108,448 2 31,498 5

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28,780 4,521,316 8,772,123 4,271,077 1 251,349 215,386 2,121,644 3,441,615 1,328,621 2 164,571 17,852 1,009,794 3,230,081 2,215,443 2 54,747 112,706 734,075 1,212,172 503,710 1 25,517 121,914 989,111 2,467,921 1,473,652 2 30,137 911,172 445,824 1,132,605 681,800 4 13,670 148,040 318,250 813,068 496,482 4 10,052 182,701 225,037 522,248 295,370 1 6,415 143,371 4,264,384 9,780,460 5,616,984 1 212,527 319,912 1,371,894 3,539,695 2,185,105 2 85,794 523,459 2,892,490 6,240,765 3,431,879 2 126,733 4578,331 98,041,984 199,846,936 103,001,080 1 4,136,573 286,090 12,278,204 21,086,584 8,863,116 1 437,850 21,841 2,377,377 3,155,471 771,532 2 40,623 21,704 1,916,413 2,389,013 452,003 9 58,929 27,533 700,617 1,967,905 1,272,849 1 48,136 62,095 652,843 843,199 191,922 1 31,823 158,548 5,119,228 8,830,205 3,777,504 2 157,088 510,222 727,853 2,129,846 1,408,183 2 40,100 53,708 752,144 1,726,313 975,924 3 55,952 612,515 4,477,175 19,483,120 15,006,808 1 209,594 23,421 1,095,713 2,155,750 1,065,117 2 76,409 49,094 3,381,462 17,327,370 13,941,691 1 133,185 140,222 4,702,221 7,518,485 2,810,898 3 129,870 714,845 2,178,969 2,773,962 575,479 9 46,653 1616,201 1,750,741 3,295,784 1,561,755 3 51,125 39,176 772,511 1,448,740 673,664 9 32,092 1211,972 827,114 1,331,085 522,014 8 54,570 216,628 377,032 646,939 280,054 15 16,748 85,344 450,082 684,146 241,960 4 37,822 2916,630 614,542 1,281,037 694,987 8 21,617 812,173 478,501 990,879 544,214 11 18,888 93,555 95,847 217,117 117,718 7 2,191 227,678 2,579,706 4,061,072 1,472,333 4 97,185 67,641 834,703 1,204,331 368,450 11 35,940 96,937 769,850 1,202,685 431,435 4 23,054 213,100 975,153 1,654,057 672,449 6 38,190 1226,591 3,863,583 6,643,716 2,815,434 5 241,808 35,580 1,007,600 1,692,199 688,566 1 132,181 121,011 2,855,983 4,951,517 2,126,868 6 109,627 713,360 765,160 1,826,888 1,064,956 8 88,777 1013,360 765,160 1,826,888 1,064,956 8 88,777 1041,829 24,195,033 56,606,079 32,758,806 1 668,043 14,373 2,447,375 4,279,238 1,872,953 1 90,256 35,482 2,543,534 3,279,241 781,519 12 115,479 52,668 815,310 1,512,049 731,850 6 20,412 816,031 7,954,555 31,074,280 23,392,317 1 277,644 12,365 727,810 1,234,429 503,050 1 10,980 2

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6,174 8,522,196 13,030,700 4,457,398 1 116,655 14,737 1,184,254 2,196,141 1,019,719 1 36,616 240,954 5,064,254 9,330,575 4,311,358 5 363,014 826,359 3,552,847 6,274,763 2,743,712 8 281,465 1014,595 1,511,407 3,055,812 1,567,646 1 81,549 221,257 1,194,458 3,349,873 2,195,043 3 159,659 4D D D D S 7,004 28,162 392,384 1,639,627 1,281,781 1 112,166 18,507 550,256 1,062,970 511,331 9 33,022 192,248 134,563 303,398 170,869 6 7,069 2010,169 3,357,546 4,847,917 1,537,284 3 81,496 21,601 1,023,224 D D S 4,298 14,808 1,677,198 2,362,749 723,784 7 37,175 32,113 259,147 404,667 149,674 6 31,368 349,690 4,140,051 8,571,115 4,495,141 2 202,964 63,288 252,087 503,578 257,043 6 19,422 61,855 166,226 396,725 230,491 1 2,109 312,453 1,137,843 2,111,161 990,209 9 45,903 113,681 556,823 1,003,596 465,130 7 18,925 112,055 158,712 280,843 125,807 3 4,962 192,096 123,000 235,013 111,412 7 6,382 169,054 282,970 786,818 516,785 7 39,087 202,580 90,951 269,934 179,936 8 12,557 (s) 40 (s)12,628 1,371,440 2,983,447 1,618,328 2 53,618 736,400 7,062,997 13,995,049 7,259,517 1 428,216 34,852 2,177,369 4,177,847 2,095,500 1 131,505 93,663 366,100 789,212 416,464 8 19,974 92,260 318,703 665,433 352,263 1 6,117 94,792 567,189 1,087,743 527,277 5 68,317 12,837 125,515 342,408 221,541 10 11,971 66,609 2,034,644 3,630,553 1,808,151 1 117,935 211,388 1,473,478 3,301,854 1,838,322 4 72,397 414,438 3,196,323 5,731,230 2,610,423 13 206,609 19,928 1,551,434 2,692,619 1,182,146 4 169,215 13,687 295,896 799,407 503,519 4 13,860 72,148 D D 162,490 1 12,023 119,182 3,606,037 6,900,501 3,317,433 3 92,701 51,399 (s) 228,508 D D S 8,192 221,763 328,452 D D S 7,545 16,414 978,337 1,906,358 939,423 9 28,975 139,606 2,070,741 4,035,182 1,975,235 1 47,989 337,717 11,332,942 16,674,080 5,447,059 6 428,542 11D D D D S D S4,161 748,144 1,060,497 323,997 4 11,525 420,696 5,492,087 8,388,601 2,986,156 12 310,821 164,251 2,382,800 3,656,419 1,367,185 1 83,138 13,240 D D 119,285 28 4,496 1151,282 2,742,380 5,482,275 2,712,980 3 64,880 742,575 2,245,132 4,401,611 2,123,814 2 44,183 7

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7,296 363,195 805,422 447,684 12 16,503 191,411 134,052 275,241 141,482 12 4,195 3117,822 1,536,510 4,305,745 2,790,411 7 148,795 47,915 806,096 2,825,207 2,031,997 9 43,778 119,907 730,414 1,480,538 758,414 6 105,016 332,031 9,282,963 13,378,012 4,215,161 1 287,249 27,123 2,887,488 4,215,106 1,386,098 3 94,194 2D D D D S D S1,765 242,393 362,616 141,841 12 5,553 352,520 136,703 289,946 154,714 1 D S1,725 107,282 231,243 125,366 1 D S1,492 149,492 268,016 118,071 4 5,076 11,801 125,702 283,865 158,062 1 10,233 13,083 269,297 498,740 229,298 14 19,721 61,573 167,193 303,896 135,722 15 14,196 27,000 1,839,739 2,888,453 1,055,345 2 71,132 65,861 1,758,239 2,707,332 956,727 3 57,659 71,552 295,985 495,305 209,409 1 19,872 11,279 273,275 448,230 184,675 1 18,819 12,354 354,868 397,835 48,197 1 D S864,626 175,298,002 291,628,102 118,581,569 1 7,334,345 276,443 15,945,833 28,348,818 12,474,089 1 753,170 32,760 1,178,724 2,405,442 1,227,388 1 69,981 53,319 2,596,003 3,559,248 979,591 1 59,159 1D D D D S D S16,855 2,319,235 5,305,091 2,984,964 1 212,175 27,617 2,684,276 4,491,717 1,852,018 2 116,129 317,103 3,614,035 4,457,625 845,149 10 108,556 1115,077 1,656,256 3,682,700 2,027,744 4 96,164 1711,877 1,748,004 4,132,342 2,388,171 3 83,116 85,576 2,071,543 4,530,090 2,452,837 1 45,049 125,576 2,071,543 4,530,090 2,452,837 1 45,049 122,626 254,440 477,695 221,849 18 13,937 363,515 248,288 462,095 221,352 14 8,180 71,642 155,622 267,913 110,100 8 2,453 221,874 92,666 194,181 111,252 26 5,727 51,526 56,869 126,714 68,309 1 374 11,666 88,985 165,192 81,694 2 1,002 11,580 D D D S D S16,512 1,080,041 2,005,380 934,779 8 49,963 92,552 206,490 376,619 180,149 22 8,109 2712,844 797,744 1,506,619 707,507 9 37,016 929,112 4,289,369 7,433,436 3,161,215 3 199,862 105,776 791,578 1,725,675 931,835 1 65,954 123,336 3,497,791 5,707,761 2,229,380 4 133,908 1529,565 1,692,722 4,114,310 2,422,821 3 116,871 629,565 1,692,722 4,114,310 2,422,821 3 116,871 67,423 19,744,471 29,051,203 10,041,364 1 443,296 1

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7,423 19,744,471 29,051,203 10,041,364 1 443,296 145,033 18,339,231 32,248,828 14,115,441 1 931,592 158,176 3,818,564 6,114,068 2,375,437 3 214,414 46,416 2,811,136 4,474,369 1,706,933 2 151,447 101,845 658,236 1,484,138 831,829 6 45,604 36,951 1,966,266 3,917,211 2,039,731 1 259,105 (s) 54 (s)6,552 2,531,415 4,520,559 2,004,736 1 51,661 39,048 5,157,424 9,425,296 4,221,803 1 148,608 36,045 1,396,191 2,313,187 934,971 5 60,754 487,590 9,293,675 16,770,834 7,608,884 2 672,830 267,415 6,878,587 12,231,889 5,432,936 2 575,633 220,174 2,415,087 4,538,945 2,175,948 5 97,197 831,471 2,295,334 5,155,394 2,883,432 2 192,594 25,409 403,756 888,660 483,589 4 19,033 910,274 644,620 1,452,546 831,932 1 74,856 18,131 606,203 1,220,362 609,000 6 40,852 106,378 475,328 1,264,977 795,756 3 49,166 364,392 21,356,137 30,557,818 9,396,544 1 775,019 123,508 10,038,025 14,743,107 4,757,042 1 288,057 27,942 2,212,238 3,279,722 1,148,398 3 174,662 14,752 1,280,050 1,804,829 504,123 3 62,402 56,598 5,937,716 6,983,079 1,118,407 2 143,190 121,593 1,888,108 3,747,081 1,868,574 1 106,708 5147,302 15,191,948 28,653,242 13,897,153 2 917,420 418,394 3,496,336 5,435,426 2,006,339 3 155,025 34,714 492,419 1,191,553 707,971 7 25,314 3320,860 2,141,129 3,855,361 1,760,561 4 107,720 69,613 1,844,474 2,949,969 1,090,493 3 62,470 41,470 228,890 492,443 275,874 2 5,608 173,788 294,180 620,162 334,331 5 14,625 845,418 2,089,074 5,255,068 3,223,825 3 323,476 1113,454 2,199,111 3,732,503 1,568,140 4 77,351 629,591 2,406,335 5,120,757 2,929,620 5 145,831 979,200 9,865,815 19,322,176 9,726,994 2 573,457 57,415 1,344,507 2,327,981 988,315 7 152,922 18,789 797,102 1,947,019 1,167,464 10 73,348 373,079 480,192 938,201 465,255 3 16,226 117,769 977,315 1,914,369 929,574 3 40,765 821,672 1,388,966 3,073,192 1,773,415 3 130,534 75,627 1,592,789 2,204,484 658,743 3 27,026 224,848 3,284,945 6,916,930 3,744,227 1 132,637 219,481 2,379,521 5,462,135 3,069,103 7 277,172 81,167 159,050 289,416 154,180 2 16,109 1550 97,678 304,989 198,972 4 18,118 257,856 573,940 1,227,824 654,522 5 151,329 29,730 1,531,649 3,592,351 2,031,266 11 90,778 2334,542 4,803,173 8,872,941 4,144,922 2 167,532 5D D D D S 27,023 24

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D D D D S 68,497 16,454 712,641 1,489,223 804,142 5 34,344 117,285 985,693 1,791,350 813,981 5 37,668 5137,933 42,863,552 60,340,405 17,607,830 4 1,024,402 330,614 22,825,663 27,199,387 4,458,913 15 120,258 165,655 516,194 922,962 408,134 10 4,907 685,454 15,293,242 22,316,694 7,079,148 2 727,914 312,801 3,615,018 8,764,156 5,182,833 1 157,013 52,787 519,466 971,562 406,700 3 11,670 117,073 1,357,851 2,721,884 1,322,128 10 47,753 512,909 961,504 1,914,134 911,028 15 34,843 43,215 273,553 535,739 261,305 8 9,967 2026,645 2,079,207 4,807,511 2,728,829 2 122,871 1211,703 929,037 2,366,272 1,439,311 3 68,952 2014,942 1,150,170 2,441,239 1,289,518 3 53,919 12192,253 46,890,124 69,875,726 23,746,397 1 1,718,191 528,600 5,011,427 7,330,015 2,348,190 1 231,749 322,196 1,178,488 1,569,450 393,314 1 21,905 517,219 2,540,783 3,532,992 1,002,487 1 37,864 15,169 409,021 785,916 379,641 3 119,915 (s) 62 (s)1,604 131,294 207,157 76,183 1 2,224 1892 413,522 811,258 398,874 5 22,315 2892 413,522 811,258 398,874 5 22,315 22,540 174,161 318,601 143,366 16 6,048 111,539 70,340 124,052 52,975 11 D S5,744 1,143,761 2,375,976 1,232,744 1 68,612 13,695 904,462 1,953,180 1,049,373 1 60,555 12,049 239,299 422,796 183,371 6 8,057 125,004 212,671 536,070 322,802 4 13,007 125,004 212,671 536,070 322,802 4 13,007 124,421 20,766,527 23,865,983 3,290,545 1 246,861 14,421 20,766,527 23,865,983 3,290,545 1 246,861 14,319 1,207,020 2,889,172 1,721,975 2 194,887 818,003 2,267,573 3,346,588 1,081,083 4 128,251 17,918 915,556 1,581,604 662,556 7 32,609 210,085 1,352,017 1,764,984 418,527 1 95,642 111,661 686,838 1,747,211 1,070,090 6 88,922 261,705 78,591 310,994 234,942 3 10,281 52,430 133,887 400,778 273,120 9 27,092 16,216 289,366 692,815 407,233 9 47,763 (s) 48 (s)8,502 1,254,578 1,870,510 647,920 6 63,784 42,533 345,296 592,095 263,394 1 D S3,147 171,268 351,446 179,411 20 D S33,612 3,639,632 6,922,762 3,383,214 3 206,574 47,765 890,669 1,627,052 766,458 7 32,942 67,344 1,193,425 1,894,430 728,109 9 65,453 27,011 252,728 801,511 547,215 7 48,222 172,292 119,906 366,189 242,053 6 10,403 206,934 963,015 1,788,471 862,826 7 36,843 6

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32,072 5,995,125 9,617,654 3,872,148 2 300,108 110,820 2,657,402 3,745,746 1,155,115 3 125,037 31,930 357,568 728,451 375,661 1 6,106 2947 209,869 313,144 111,408 4 17,154 97,557 625,661 1,111,496 491,594 2 51,075 18,912 1,820,098 3,170,188 1,560,594 4 93,132 23,686 536,956 1,340,136 819,712 4 19,161 131,493 129,058 233,496 108,152 15 10,860 201,224 85,522 (s) 266,405 193,371 16 6,093 195,004 571,926 992,915 430,738 7 23,126 7D D D D S D S2,794 216,636 491,471 276,029 10 6,628 2318,340 2,477,545 4,699,753 2,300,695 1 76,618 4D D D D S D S3,333 293,507 D D S 4,464 23,791 631,762 981,026 376,848 6 21,613 58,686 755,534 1,520,001 801,395 1 37,149 72,650 123,309 255,780 133,022 12 6,461 131,512 41,695 110,551 68,505 10 4,251 165,748 356,048 847,659 491,375 1 20,064 54,788 248,444 678,300 428,441 1 19,435 5180,700 22,563,340 59,339,640 37,050,689 2 1,333,162 227,727 4,057,204 7,318,065 3,237,377 2 159,775 212,452 1,242,689 2,296,532 979,340 4 72,718 13,110 1,078,234 1,737,606 699,586 2 31,849 92,347 356,618 618,937 263,577 1 11,961 114,801 425,960 1,035,676 611,447 7 16,988 62,344 427,008 888,315 461,834 6 13,937 52,212 460,364 966,046 498,486 8 43,280 262,212 460,364 966,046 498,486 8 43,280 2629,042 3,014,451 4,689,270 1,690,070 7 101,981 37,186 1,225,112 1,818,848 583,167 17 58,049 412,489 1,276,316 1,930,400 672,607 4 28,609 19,367 513,023 940,022 434,296 9 15,323 76,595 1,567,718 3,096,681 1,553,699 4 77,932 44,649 1,355,036 2,517,052 1,188,223 1 63,640 11,946 212,682 579,629 365,476 19 14,292 216,663 463,238 1,037,477 572,708 19 34,883 226,663 463,238 1,037,477 572,708 19 34,883 224,890 1,047,550 2,125,736 1,094,298 11 64,523 141,709 273,371 607,688 336,861 14 4,047 166,742 550,781 1,184,728 642,483 7 37,614 105,639 449,052 967,703 526,888 7 32,985 115,713 403,462 1,164,993 783,606 23 36,667 102,191 180,937 392,512 222,576 31 14,111 2411,752 1,774,676 3,294,618 1,625,541 1 60,899 1D D D D S D SD D D D S D S

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8,129 374,551 1,278,579 928,671 1 24,798 321,662 1,212,846 2,723,922 1,526,772 7 78,777 73,578 165,754 456,286 293,819 2 17,564 15,997 438,843 869,460 429,560 9 20,606 101,413 50,050 130,151 84,587 7 4,502 335,240 211,670 559,244 349,641 8 17,456 241,690 31,964 165,887 133,882 11 5,893 221,690 (s) 167,961 267,978 (s) 102,632 (s) 92 (8,080 1612,423 1,692,010 3,519,130 1,902,267 4 110,497 62,045 262,162 447,044 193,137 9 36,035 12,346 486,094 1,072,424 620,817 10 31,289 81,250 113,942 315,113 204,651 1 7,233 13,541 627,306 1,202,174 586,689 5 22,542 1312,897 3,183,671 22,430,883 19,277,464 4 368,735 11,681 980,915 1,786,912 802,280 1 20,870 110,872 1,658,601 19,639,405 17,998,044 1 284,712 12,875 575,305 1,569,394 991,702 5 59,015 82,177 281,821 608,227 327,619 2 10,100 410,887 1,740,246 2,617,963 852,573 8 100,563 3D D D D S 1,728 13,114 344,509 486,882 136,256 13 3,155 91,692 227,685 393,750 166,776 6 19,895 123,068 D 511,918 D S 68,157 25,805 244,156 563,397 319,391 9 6,360 63,599 130,088 295,132 165,466 18 3,846 101,694 67,939 164,636 96,756 6 1,660 109,432 483,952 1,358,192 889,959 4 25,854 103,621 236,716 790,311 565,329 1 13,151 15,811 247,236 567,881 324,631 11 12,703 20735,215 138,251,052 236,605,714 99,855,026 1 6,379,685 196,295 19,017,864 32,006,570 13,074,101 1 912,327 24,251 2,970,157 3,948,845 983,522 6 65,020 2D D D D S D S12,559 2,505,149 4,438,153 1,972,078 4 270,556 110,518 1,692,662 2,569,299 870,347 8 74,649 89,533 2,973,157 4,296,018 1,323,151 5 168,336 324,887 4,807,407 6,657,789 1,862,943 5 85,116 916,387 1,386,590 3,762,648 2,398,517 1 112,914 1615,968 1,976,991 4,769,337 2,801,873 1 114,740 27,150 1,718,967 4,740,167 3,008,886 4 127,137 25,442 1,617,025 4,035,248 2,405,697 5 99,309 28,093 682,415 1,235,225 542,557 4 32,055 65,782 503,264 946,611 434,799 4 28,956 65,386 349,261 646,588 297,324 9 15,200 102,730 250,139 425,942 174,040 11 9,200 132,656 99,122 220,646 123,284 16 6,000 165,205 324,214 528,559 210,808 16 9,579 74,600 291,150 472,393 190,256 17 5,667 1

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25,580 1,909,251 3,260,292 1,344,365 5 56,461 86,118 625,596 961,251 330,625 12 19,920 192,520 231,315 376,849 146,830 18 9,041 1416,942 1,052,340 1,922,193 866,910 5 27,499 832,963 5,503,996 11,581,311 6,065,935 3 272,143 29,415 1,895,588 5,614,754 3,686,458 1 137,503 323,549 3,608,409 5,966,557 2,379,477 7 134,640 339,896 2,249,915 5,494,740 3,241,392 4 181,103 539,896 2,249,915 5,494,740 3,241,392 4 181,103 58,948 29,521,378 31,014,896 1,400,703 3 252,294 88,948 29,521,378 31,014,896 1,400,703 3 252,294 837,501 9,367,582 21,549,193 12,518,926 2 930,952 55,652 1,451,717 3,247,078 1,837,197 2 143,273 54,242 1,997,688 2,967,308 993,651 4 88,055 913,330 2,751,331 7,617,280 5,105,598 4 520,308 92,869 992,271 1,887,561 903,223 1 25,073 56,299 784,643 3,233,320 2,457,906 1 103,468 24,264 1,124,838 2,104,441 990,311 2 36,485 854,967 5,467,635 10,341,603 4,974,719 2 391,011 349,120 4,875,246 8,934,683 4,135,364 2 357,742 35,847 592,389 1,406,921 839,356 2 33,269 328,357 2,337,022 4,963,516 2,659,937 2 210,898 53,679 366,799 723,811 363,669 3 15,618 28,203 665,816 1,340,433 681,386 4 93,314 911,715 795,285 1,769,439 979,013 4 59,352 73,802 364,455 839,186 482,702 8 21,814 861,848 19,590,907 30,076,143 10,830,506 1 1,069,308 528,345 12,145,127 17,939,390 6,010,867 1 700,517 15,826 1,484,717 2,206,705 775,146 6 70,851 133,991 1,355,399 2,010,525 654,649 1 25,454 19,344 3,733,467 6,025,619 2,365,754 3 112,278 614,342 872,197 1,893,904 1,024,090 3 160,208 32106,324 9,199,129 18,720,791 9,669,098 3 612,506 416,640 1,536,025 3,055,550 1,547,092 6 121,074 72,802 193,019 423,588 248,121 11 10,863 1924,590 2,392,465 4,521,184 2,138,370 3 85,417 46,000 883,224 1,419,228 560,142 2 48,788 44,648 345,134 777,539 437,459 4 11,578 628,604 1,184,544 3,362,787 2,202,141 5 155,931 107,683 1,036,930 1,700,470 679,667 7 48,553 1214,655 1,530,690 3,227,791 1,726,724 14 123,381 1461,884 8,267,670 16,234,264 8,274,479 2 372,170 411,356 2,413,779 4,151,011 1,875,307 2 120,634 75,931 589,129 1,599,072 1,011,541 10 30,485 123,734 386,401 790,204 409,199 6 18,741 176,008 803,723 1,640,979 846,005 10 36,579 1414,049 780,489 1,875,825 1,106,516 6 71,806 142,288 491,670 856,914 384,377 14 13,539 1018,517 2,802,479 5,320,259 2,641,533 1 80,385 4

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27,131 4,092,228 9,761,436 5,841,339 11 224,013 21,766 321,894 628,012 266,333 1 19,274 12,428 349,044 849,969 459,954 24 25,668 510,516 864,297 1,737,053 896,790 21 70,102 211,017 2,514,015 6,402,873 4,117,196 15 101,470 51,295 32,044 117,719 85,897 1 D S30,604 3,886,712 7,333,100 3,497,208 3 176,678 23,252 361,479 754,711 397,739 8 D S5,791 883,244 1,768,764 908,574 4 26,882 820,137 2,467,638 4,551,809 2,108,200 3 134,956 146,937 10,992,119 17,180,221 6,226,763 2 342,443 1D D D S X D S7,994 740,946 1,198,159 442,195 4 18,103 69,994 1,380,719 2,461,069 1,048,602 7 58,463 57,450 2,584,409 3,670,903 1,293,761 4 62,053 113,888 2,641,185 4,712,793 2,087,872 3 119,392 1D D D 240,938 1 D S4,101 1,919,220 3,167,890 1,143,087 1 64,866 118,516 1,209,735 3,090,359 1,874,589 4 54,726 810,982 573,359 1,424,746 852,031 7 19,383 115,546 447,420 1,259,066 807,914 2 32,164 131,989 188,956 406,547 214,643 8 3,180 730,469 2,445,535 6,666,580 4,234,965 14 133,705 714,794 1,207,223 3,373,496 2,170,863 4 79,889 1115,675 1,238,312 3,293,084 2,064,102 29 53,816 847,110 5,525,022 11,067,950 5,570,675 2 385,865 33,131 228,699 459,078 232,779 7 17,728 61,334 37,044 129,993 92,876 18 5,172 222,046 219,297 359,475 136,083 8 10,762 372,130 113,258 280,727 167,471 14 8,378 302,130 113,258 280,727 167,471 14 8,378 303,690 592,162 1,435,952 836,515 1 93,953 11,627 D D 514,796 1 D S3,923 433,484 875,159 447,631 6 26,632 33,758 D D 438,692 6 26,014 311,681 1,305,655 1,974,616 681,014 6 101,387 34,750 631,915 635,886 S A D S2,313 77,612 216,096 140,969 15 D S1,845 D 661,801 D S 31,403 63,003 310,861 654,813 345,159 7 15,752 51,212 124,520 328,734 208,892 2 10,582 23,024 282,551 713,757 434,406 6 38,539 202,070 (s) 181,811 474,801 294,493 9 20,301 381,666 93,183 203,512 109,439 10 3,818 286,358 770,994 1,716,395 953,667 7 18,810 71,728 167,818 620,672 447,718 1 6,639 24,630 603,176 1,095,724 505,949 12 12,171 11292,710 54,608,206 90,470,072 37,402,698 2 2,913,412 1

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28,748 3,519,101 6,342,649 2,857,073 4 119,365 62,425 D D 437,363 1 13,343 120,056 1,370,890 2,537,159 1,195,151 1 33,626 22,893 443,268 945,174 510,184 25 31,492 222,008 519,968 819,434 304,522 1 16,939 123,727 2,336,955 4,133,464 1,836,623 33 108,956 85,039 576,893 788,074 227,728 1 40,526 112,797 1,281,141 1,943,942 667,933 5 38,591 35,891 478,921 1,401,448 (s) 940,961 (s) 64 (29,839 275,014 406,773 638,267 243,279 10 17,846 203,557 195,552 308,015 119,324 13 14,433 24S 211,222 330,252 123,955 16 3,413 151,670 D 120,706 D S D S1,599 55,015 111,221 57,031 10 603 2210,879 1,271,435 1,882,773 601,409 8 99,165 14,065 529,565 723,836 191,523 4 21,103 43,333 391,458 634,916 239,322 7 30,879 13,481 350,412 524,021 170,564 25 47,183 218,212 3,923,050 7,138,009 3,238,801 1 667,436 18,975 2,292,951 4,586,023 2,319,359 1 148,281 19,237 1,630,099 2,551,986 919,442 2 519,155 15,168 347,391 705,533 358,914 12 37,716 195,168 347,391 705,533 358,914 12 37,716 1925,505 9,443,979 15,346,169 6,159,747 1 321,555 25,860 2,871,428 5,119,569 2,387,362 1 132,574 49,775 3,928,100 5,467,109 1,608,166 1 63,375 14,249 768,416 1,538,445 786,551 1 43,973 52,992 926,657 1,530,161 627,218 3 42,957 327,906 5,909,324 9,297,576 3,373,378 2 250,859 517,502 2,240,399 D D S 126,219 410,403 3,668,925 D D S 124,640 108,091 693,905 1,539,182 838,267 7 109,200 81,549 D 195,253 D S 6,383 11,963 299,256 625,015 334,935 2 67,093 23,845 264,166 575,803 295,537 20 33,164 288,814 3,965,416 5,384,376 1,433,423 1 71,657 14,036 2,793,759 3,520,805 728,767 1 38,981 132,270 3,101,805 5,899,164 2,830,753 4 224,635 44,470 441,310 791,173 340,896 6 8,118 86,547 307,828 710,420 381,189 11 30,974 231,388 (s) 251,070 392,939 149,940 8 13,737 515,484 1,215,205 2,642,034 1,447,850 7 116,516 222,751 4,737,613 7,871,678 3,160,869 1 259,749 41,990 842,205 1,284,401 448,585 1 89,353 12,043 206,083 457,550 245,651 1 9,271 21,736 181,543 339,022 158,945 1 14,202 12,506 398,125 718,835 304,327 3 7,857 163,475 218,512 462,992 251,414 6 18,639 11

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5,901 1,864,448 2,997,921 1,152,737 1 60,201 35,100 1,026,697 1,610,957 599,211 3 60,226 186,095 1,068,115 1,914,710 860,741 1 29,542 12,564 297,090 639,716 361,475 1 15,766 12,500 434,626 801,167 362,982 1 12,263 112,882 2,178,103 4,476,950 2,336,426 1 77,705 1D D D D S D S4,386 546,760 1,271,965 734,790 2 12,566 15,337 1,132,215 2,391,792 1,287,008 1 56,296 143,186 10,382,797 15,212,615 5,915,708 1 438,620 3D D D D S D S18,771 4,608,561 7,392,310 2,809,242 3 195,187 68,050 531,377 1,020,289 1,549,056 1 D S1,128 305,263 D D S 10,962 13,543 319,887 594,240 274,354 2 10,948 192,439 759,345 1,266,381 514,998 1 11,808 12,768 267,020 632,747 366,150 7 11,546 381,244 55,836 109,043 51,224 (s) 45 (6,523 (s) 64 (s)7,737 389,377 1,146,252 755,550 3 39,775 74,305 187,666 694,840 503,344 1 30,199 53,432 201,712 451,412 252,206 8 9,576 2656,695 9,872,602 15,942,065 6,139,644 1 332,458 212,591 3,389,355 4,474,516 1,114,216 1 71,058 41,619 969,328 1,130,072 183,281 1 19,679 19,349 1,582,765 1,925,738 348,585 1 16,064 11,530 159,049 230,534 65,889 (s) 58 (12,947 191,906 93,276 220,256 128,555 3 10,319 191,906 93,276 220,256 128,555 3 10,319 192,001 2,750,230 3,496,605 751,452 1 40,276 12,775 273,754 447,135 172,408 18 14,496 392,700 265,565 431,483 165,123 18 14,319 (s) 40 (s)2,209 162,001 310,959 153,818 5 9,045 11,965 141,397 267,846 128,727 6 7,711 24,959 335,713 764,895 429,662 6 16,712 142,317 162,406 345,759 180,876 5 4,303 159,072 830,131 1,841,248 1,028,338 2 51,609 12,936 406,570 725,769 323,074 6 40,616 12,635 262,321 708,491 454,701 3 8,217 12,148 237,765 458,240 221,676 1 11,444 11,471 131,554 225,409 94,005 1 D S666 104,069 228,261 125,221 1 6,483 15,370 662,954 937,707 286,358 6 30,090 11,931 148,998 271,767 127,322 13 4,867 52,159 219,033 474,409 260,940 1 22,611 13,001 110,684 262,057 152,632 2 6,397 12,753 98,493 235,879 138,651 2 D S3,954 339,399 1,316,767 973,451 2 32,718 22,623 182,295 D D S D S

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408,024 79,330,169 133,056,109 54,490,675 1 4,779,724 153,749 10,207,745 17,847,265 7,687,874 1 609,340 23,353 2,390,437 3,742,235 1,354,011 1 57,675 14,759 702,796 1,416,004 716,326 5 96,375 35,798 1,032,288 1,964,755 935,043 3 59,030 12,104 615,721 908,970 293,185 1 107,330 118,207 2,480,635 3,224,336 761,022 10 50,527 1114,276 1,566,330 3,789,428 2,233,774 2 105,215 54,542 921,813 2,137,003 1,227,026 1 120,012 14,634 1,435,823 5,651,442 4,217,262 1 131,324 23,190 D D D S 58,592 44,927 609,862 916,888 308,725 2 22,992 22,034 218,312 309,945 99,619 1 1,474 11,680 266,019 406,580 127,520 1 16,090 13,925 D 598,993 D S 10,537 42,835 D D D S 9,651 45,426 D D D S D S3,851 D D D S D S16,788 950,971 1,705,032 761,695 4 46,156 153,588 186,127 (s) 331,657 148,617 12 16,705 3911,877 685,424 1,235,809 554,821 5 28,440 817,762 2,777,829 5,205,066 2,478,268 2 279,578 35,064 1,220,315 2,547,682 1,338,787 1 219,864 112,698 1,557,514 2,657,384 1,139,481 3 59,714 1614,531 776,437 2,217,333 1,455,433 3 87,581 314,531 776,437 2,217,333 1,455,433 3 87,581 31,417 D D 466,869 4 D S1,417 D D 466,869 4 D S30,076 9,253,741 17,588,378 8,573,491 3 537,251 513,012 3,836,757 7,587,032 3,909,688 1 301,472 13,501 1,656,149 2,104,532 498,816 1 16,773 12,936 707,515 3,310,431 2,626,169 1 77,581 13,582 703,899 1,270,176 575,723 1 64,545 195,789 1,896,729 (s) 2,581,664 682,984 35 67,164 3335,816 4,791,300 7,390,875 2,589,522 4 214,641 923,610 2,729,503 4,570,544 1,851,558 3 153,724 1212,206 2,061,797 2,820,332 737,963 12 60,917 515,092 1,268,090 2,659,057 1,403,205 4 107,578 61,202 (s) 85,279 235,637 147,787 23 9,495 205,905 546,504 1,036,328 499,106 3 59,738 25,481 446,682 954,672 511,439 5 30,718 192,156 136,106 345,956 212,052 8 D S14,462 5,193,149 7,478,204 2,354,870 3 184,705 12,287 1,394,905 1,920,024 537,085 1 46,334 12,485 1,330,102 (s) 1,533,062 (s) 259,705 22 22,655 13,919 1,413,054 2,154,505 733,125 1 45,433 12,216 519,100 799,877 277,913 8 34,949 23,555 535,988 1,070,736 547,042 5 35,333 643,296 3,883,532 8,361,574 4,564,448 2 202,596 5

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4,011 488,035 785,326 320,420 4 29,358 101,955 123,347 350,090 222,337 2 13,388 19,187 1,015,865 1,690,676 687,493 9 31,432 82,834 501,851 812,102 318,442 9 18,859 71,771 187,966 417,379 235,160 1 4,729 12,334 167,581 290,997 129,755 6 4,211 168,180 374,189 863,191 516,515 5 34,571 233,961 108,815 346,952 235,691 16 15,737 359,063 915,883 2,804,861 1,898,635 4 50,312 430,110 4,679,575 7,986,778 3,414,023 2 125,644 35,655 1,546,466 2,085,516 573,910 5 36,708 21,504 104,994 217,922 108,028 13 6,693 289,844 1,655,677 2,834,584 1,228,386 2 38,998 15,048 173,246 509,644 354,499 6 19,718 171,596 310,952 576,287 288,261 1 6,582 15,412 528,724 1,174,844 634,796 7 13,855 56,858 2,316,579 3,109,412 794,578 9 31,707 33,517 D 797,699 D S 11,551 42,529 703,736 1,145,917 434,495 11 10,926 720,586 2,450,348 4,898,112 2,473,992 1 197,746 211,564 1,490,461 2,648,483 1,160,960 1 102,482 23,885 376,472 833,934 462,277 4 13,681 274,062 440,001 1,162,757 738,638 3 76,149 157,208 19,200,763 26,461,092 7,353,839 3 1,762,412 28,121 8,580,746 10,675,914 2,163,652 1 D S2,671 420,756 626,792 215,940 9 D S38,816 9,447,991 13,602,685 4,157,193 6 462,307 82,487 234,742 597,881 373,745 1 16,734 14,201 421,076 756,861 335,785 1 D S13,136 727,864 1,361,417 624,666 6 13,106 68,775 458,929 816,698 347,180 10 5,423 23,238 176,016 359,122 184,771 8 3,821 2017,177 1,162,387 3,669,264 2,502,373 3 97,240 98,259 686,176 2,583,208 1,889,088 3 71,736 108,918 476,211 1,086,056 613,286 9 25,504 20990,977 458,301,270 669,794,238 216,081,056 1 17,634,833 1137,385 27,894,621 43,164,176 15,366,276 1 630,450 24,307 2,281,800 3,456,321 1,181,970 3 41,594 63,791 1,666,055 2,485,343 860,567 4 35,100 63,415 493,532 1,569,640 1,077,617 1 18,861 1911,714 1,276,454 2,686,536 1,406,370 1 98,295 18,317 2,479,963 3,670,471 1,204,962 3 97,926 373,358 15,659,120 19,193,040 3,550,715 5 182,818 41,983 214,675 356,799 142,065 1 13,042 621,163 1,522,105 3,436,939 1,916,303 2 71,527 119,337 2,300,917 6,309,086 4,025,707 1 71,288 610,160 D D 4,381,184 2 190,652 5D D D D S 190,652 5

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4,521 414,549 690,290 277,972 2 16,405 63,820 266,073 478,872 217,829 3 14,258 75,524 414,205 691,468 277,055 11 20,192 302,414 166,636 266,423 98,047 22 2,873 93,110 247,569 425,044 179,007 12 17,319 343,250 D D 152,224 15 4,604 71,910 (s) 135,107 256,223 121,170 18 2,319 73,601 443,605 641,289 199,207 2 8,701 22,151 108,971 238,516 127,387 1 7,507 229,940 2,233,525 3,692,851 1,445,677 5 99,537 64,744 472,255 751,250 278,891 10 28,932 114,340 351,796 583,428 231,294 9 8,440 220,856 1,409,473 2,358,173 935,492 7 62,165 820,946 3,805,888 6,732,260 2,951,938 2 213,296 43,955 959,493 1,992,305 1,029,372 1 96,347 116,991 2,846,395 4,739,955 1,922,566 3 116,949 832,184 1,607,852 3,965,835 2,369,957 5 133,632 632,184 1,607,852 3,965,835 2,369,957 5 133,632 630,269 203,645,133 241,929,442 39,220,630 1 2,595,421 130,269 203,645,133 241,929,442 39,220,630 1 2,595,421 179,255 110,869,962 163,238,210 53,638,088 1 4,933,486 131,237 69,264,948 103,707,121 35,203,462 1 2,838,172 119,593 33,109,005 41,677,461 8,880,026 1 1,677,559 12,129 907,356 1,279,687 410,668 17 57,595 188,097 866,107 4,770,121 3,914,449 1 80,504 16,405 1,689,741 3,101,387 1,417,536 2 35,685 13,886 (s) 1,298,774 3,325,927 2,037,925 6 74,784 67,908 3,734,031 5,376,506 1,774,022 7 169,185 361,653 7,478,839 13,036,062 5,666,731 1 348,859 457,578 7,100,569 12,421,289 5,441,859 1 327,816 44,075 378,270 614,774 224,871 16 21,042 2344,204 4,100,578 8,221,769 4,177,769 3 299,169 34,974 205,367 617,622 410,933 7 25,201 64,797 451,732 912,856 475,448 4 46,045 525,179 2,494,208 4,535,981 2,052,430 6 136,714 62,054 229,859 492,626 261,563 20 19,022 67,199 719,412 1,662,683 977,396 3 72,188 433,825 11,942,299 17,665,555 5,898,953 1 347,343 36,802 2,868,941 4,180,478 1,386,426 3 50,678 16,594 1,898,715 2,732,624 915,281 2 84,508 45,471 1,482,323 1,796,418 321,117 3 63,016 24,587 5,190,943 7,488,484 2,312,624 1 102,186 310,370 501,376 1,467,552 963,505 5 46,954 17167,236 13,190,886 28,301,072 15,495,197 2 1,014,775 610,598 1,483,598 2,630,185 1,209,688 2 149,367 22,404 115,655 269,014 155,140 7 7,962 1644,270 4,031,742 7,269,544 3,270,452 5 135,198 611,809 1,422,275 2,612,036 1,231,939 3 103,404 1

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4,441 345,180 637,691 291,235 3 8,699 539,953 1,874,526 5,056,599 3,272,325 7 308,317 1916,190 510,296 2,360,128 1,924,249 2 66,131 1036,603 3,320,083 7,311,177 4,071,338 3 232,712 691,661 21,562,747 39,552,591 18,192,629 1 797,629 236,498 7,851,994 14,131,196 6,423,706 3 444,357 24,151 2,184,313 5,730,240 3,509,153 1 17,407 42,683 267,746 581,136 288,863 11 9,747 513,393 2,567,246 4,887,626 2,279,679 1 62,955 54,571 269,169 601,438 335,294 3 30,839 206,156 2,632,480 3,524,135 927,905 3 52,290 624,209 5,789,800 10,096,821 4,428,029 1 180,034 659,246 12,584,108 28,914,207 16,494,492 4 5,022,653 43,179 (s) 138,703 (s) 312,628 169,166 15 171,286 (s) 95 (s)6,312 3,608,877 5,857,500 2,321,184 21 63,452 1026,767 5,116,411 11,569,381 6,518,940 3 4,588,219 222,157 3,636,307 11,002,038 7,394,018 6 198,698 319,283 2,807,107 5,410,470 2,651,192 6 87,520 52,248 287,333 514,146 231,502 14 7,500 99,444 1,143,365 2,455,261 1,344,749 2 28,994 26,283 1,165,396 2,089,746 929,026 15 47,663 988,650 24,474,419 44,320,498 20,979,098 1 619,944 111,767 D 20,792,387 D S 83,457 110,659 1,162,538 1,711,196 565,884 5 22,883 817,424 2,855,298 4,536,275 1,712,339 6 106,565 439,231 6,798,747 14,854,609 9,090,712 1 380,364 13,099 550,904 767,951 216,835 1 5,073 14,993 D D D S 14,397 11,476 D D 327,777 1 7,204 127,302 1,653,880 3,861,615 2,208,475 29 57,024 816,413 842,926 2,213,723 1,373,824 (s) 47 (22,079 76,135 443,763 898,841 442,029 13 17,899 234,754 367,191 749,052 392,622 5 17,045 440,882 2,821,428 6,883,516 4,036,312 2 193,541 1016,634 1,305,784 3,269,318 1,866,867 4 100,065 1824,248 1,515,645 3,614,198 2,169,445 3 93,477 6129,377 25,345,599 50,598,382 25,155,181 5 1,814,388 222,107 4,982,807 7,524,246 2,548,009 1 191,596 53,656 560,571 961,885 400,942 1 12,211 15,485 2,224,974 2,854,092 631,474 1 69,038 13,391 1,003,148 1,183,927 191,766 1 46,103 14,207 355,430 1,002,058 655,211 2 26,185 192,085 101,099 167,131 66,908 34 3,739 113,218 704,720 1,402,832 702,967 7 161,301 6D D D D S D S5,206 259,648 718,380 452,920 6 29,876 165,206 259,648 718,380 452,920 6 29,876 161,588 6,101,297 7,365,617 1,312,755 1 104,706 1

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1,588 6,101,297 7,365,617 1,312,755 1 104,706 17,526 1,415,678 4,780,561 3,164,646 40 77,217 83,625 722,794 3,320,289 (s) 2,390,071 (s) 53 (32,948 191,880 323,040 656,283 342,132 1 25,035 17,046 696,823 1,335,026 644,945 4 41,739 76,556 642,273 1,243,528 607,751 4 38,727 84,876 367,421 959,181 572,330 8 62,887 22,041 187,189 386,694 181,027 25 9,372 112,179 122,802 436,139 311,440 3 26,754 25,601 2,637,376 7,705,615 5,091,407 1 150,377 12,588 D D 4,730,186 1 121,808 113,391 1,140,210 2,366,867 1,247,396 3 85,581 334,293 534,366 921,884 387,705 8 21,501 84,068 182,887 458,204 283,844 9 43,739 (s) 64 (s)3,012 231,587 565,825 340,956 1 13,890 16,036 D 1,578,388 D S 45,407 5728 201,432 303,281 103,438 2 10,084 11,699 322,962 608,680 212,572 6 13,635 1414,603 1,776,348 5,012,540 3,271,150 1 431,238 15,234 462,505 1,900,734 1,456,063 1 D S7,996 1,188,759 2,791,260 1,615,947 1 66,081 21,783 476,994 809,521 342,221 1 50,611 111,801 1,636,301 3,615,138 1,992,406 1 107,965 12,416 208,952 410,654 214,158 2 D S5,546 1,048,665 D D S 33,966 23,630 362,872 1,387,427 1,029,274 1 D S5,413 541,520 1,206,753 666,988 9 12,595 63,603 300,515 597,519 299,274 20 8,733 715,309 1,365,433 3,533,654 2,193,403 3 237,702 26,169 511,558 1,921,562 1,423,874 3 210,108 29,141 853,875 1,612,092 769,530 4 27,593 936,666 5,651,374 10,534,438 5,007,835 2 376,577 16,004 1,476,773 2,434,257 969,355 1 58,554 12,422 706,414 1,183,741 488,714 1 26,207 11,838 D D D S D S2,404 127,221 229,248 104,205 31 8,640 291,439 91,303 162,205 69,691 8 2,882 41,275 D 125,207 D S 2,552 251,275 D 125,207 D S 2,552 251,511 D 241,967 D S 11,881 11,818 119,168 229,902 113,767 14 11,373 241,969 D D D S 6,969 132,321 D 284,372 D S 7,609 183,494 243,169 595,304 361,742 3 21,555 61,899 80,234 231,137 153,366 7 9,565 146,681 2,429,698 D D S 154,984 15,397 D D D S D S1,226 D 588,685 D S D S

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1,942 169,825 404,846 239,316 1 12,791 11,379 145,534 335,683 193,567 1 7,591 12,545 310,915 502,131 200,644 1 29,578 1D 81,797 200,754 126,281 1 D S1,149 (s) 98,540 294,511 199,310 26 11,200 18312,289 40,270,078 94,400,738 54,459,197 1 2,596,953 241,166 6,856,015 12,352,182 5,584,565 1 235,651 11,788 D D D S D S2,174 324,321 474,838 149,970 1 20,748 13,383 1,226,374 2,621,300 1,407,940 1 34,969 123,211 1,971,843 3,673,447 1,722,824 1 82,005 14,316 600,972 1,221,717 615,409 5 24,838 43,362 980,048 1,850,269 903,803 2 25,991 18,699 3,081,735 18,330,178 15,245,965 1 83,149 1D D D D S D SD D D D S D S8,175 1,038,318 2,482,849 1,472,935 1 113,513 11,979 324,969 427,040 101,993 1 4,552 15,086 608,881 1,899,207 1,312,781 1 106,641 14,872 281,627 585,603 299,123 9 18,750 92,555 195,971 259,491 66,518 34 12,239 52,317 85,656 326,113 232,605 6 6,510 231,382 D D D S 971 120,581 1,678,148 2,786,193 1,110,159 6 91,536 56,685 661,112 1,012,695 365,444 7 54,343 53,179 (s) 341,528 568,110 210,215 22 10,486 1710,718 675,508 1,205,388 534,499 8 26,707 1011,126 2,025,825 3,490,363 1,461,559 1 283,786 14,051 989,233 1,907,987 898,169 1 218,781 17,075 1,036,592 1,582,376 563,390 3 65,005 116,815 902,155 2,113,066 1,207,356 4 66,797 2016,815 902,155 2,113,066 1,207,356 4 66,797 2016,952 4,131,642 9,707,797 5,575,012 1 274,607 32,525 726,840 1,680,793 934,027 2 98,962 33,409 1,265,051 1,885,661 647,153 9 65,977 53,479 736,845 3,402,322 2,620,515 1 27,937 221,887 214,328 578,837 369,218 1 8,782 14,267 667,698 1,297,274 642,201 1 65,545 227,710 3,070,219 5,616,039 2,597,998 1 239,559 119,109 1,997,506 4,160,045 2,205,641 2 169,375 28,602 1,072,712 1,455,994 392,358 1 70,183 214,435 1,026,714 2,476,018 1,463,599 3 65,230 52,117 147,665 346,938 199,848 3 10,919 47,896 450,887 1,097,201 637,787 8 26,064 132,236 218,018 621,126 405,574 3 13,911 37,468 1,728,789 2,443,905 746,071 1 57,484 12,274 932,652 1,244,275 336,371 1 15,884 12,315 180,885 319,962 141,119 1 23,748 1

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26,172 2,085,991 4,634,394 2,551,709 3 141,383 78,300 749,300 1,422,310 667,066 11 55,504 115,464 566,013 1,453,488 899,006 1 23,648 15,801 340,206 715,661 370,381 9 29,420 263,169 254,928 623,449 369,627 3 17,520 222,656 3,839,230 7,191,752 3,427,294 23 224,118 186,191 2,214,642 3,718,735 (s) 1,562,218 (s) 50 (97,586 341,278 101,137 280,731 166,905 10 5,768 146,515 603,678 1,115,235 514,133 1 10,455 15,790 593,418 1,220,692 652,627 6 16,421 610,198 1,382,644 3,784,342 2,402,242 4 317,400 1897 119,982 255,237 134,810 29 4,061 395,173 471,264 1,026,842 515,835 1 268,409 13,930 647,716 2,265,644 1,661,012 4 37,806 49,057 1,341,243 2,739,268 1,394,136 1 37,327 76,001 892,399 1,883,764 981,571 1 26,468 72,451 379,589 699,851 325,835 2 9,498 1743,549 4,184,598 10,376,167 6,212,205 1 295,275 1D D D D S D S3,549 D D D S 11,460 38,036 583,976 1,229,881 656,306 6 46,326 11,987 D 762,273 D S 31,350 126,032 983,149 5,151,700 4,168,551 1 196,375 111,889 792,421 1,540,749 760,343 4 19,464 68,131 405,089 817,063 427,897 7 12,824 82,315 98,398 223,022 123,359 7 2,433 148,479 584,144 1,393,026 824,529 3 20,450 82,760 169,713 541,992 368,894 1 7,507 105,719 414,431 851,035 455,635 5 12,943 11302,154 66,022,180 114,738,822 52,506,507 1 2,433,392 151,621 6,988,806 12,299,971 5,323,458 2 425,306 31,686 124,636 329,049 203,573 (s) 42 (8,053 717,328 1,630,482 2,956,502 1,345,327 1 66,363 72,367 1,087,772 1,332,936 246,452 2 15,003 59,222 1,349,177 1,972,070 615,221 11 45,724 219,813 974,770 1,808,690 825,245 6 72,346 95,339 432,832 1,165,829 739,163 4 17,995 194,306 776,925 1,762,449 984,996 2 179,931 13,115 902,353 1,635,444 762,587 6 77,190 113,115 902,353 1,635,444 762,587 6 77,190 112,959 217,762 370,254 155,362 21 9,863 182,795 219,822 366,163 149,991 22 9,712 1817,925 2,024,142 3,198,769 1,172,049 5 69,441 299,052 1,237,352 1,919,103 681,887 5 31,777 53,555 331,512 531,560 193,591 7 5,219 35,318 455,278 748,106 296,571 14 32,444 (s) 61 (s)14,883 3,104,571 5,388,957 2,312,180 1 140,938 28,491 2,180,981 3,720,795 1,557,598 1 105,717 1

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6,392 923,590 1,668,162 754,582 3 35,221 98,762 335,748 955,838 634,599 5 27,226 118,762 335,748 955,838 634,599 5 27,226 113,437 20,927,161 23,669,052 3,015,222 1 363,786 13,437 20,927,161 23,669,052 3,015,222 1 363,786 17,167 1,038,105 2,741,522 1,763,942 16 113,226 71,618 311,013 750,878 468,665 3 26,760 232,967 248,402 928,187 682,753 39 37,926 413,348 1,131,137 2,149,743 1,032,632 6 68,021 512,797 1,086,070 2,052,597 980,709 6 65,724 610,507 702,037 1,643,025 937,415 4 43,285 53,018 185,092 482,670 301,217 4 10,249 15,447 385,181 863,554 469,122 8 29,022 811,345 2,264,857 3,799,729 1,624,526 1 136,961 3D D D 412,619 1 D S2,273 448,038 1,130,570 721,098 1 77,475 24,069 206,525 439,790 248,570 6 18,363 2225,972 1,693,395 4,220,167 2,565,000 5 118,335 67,213 607,546 1,212,532 612,434 13 30,078 169,456 383,452 1,052,830 689,431 4 38,473 83,670 158,225 827,265 693,715 1 19,744 223,191 187,720 393,988 188,300 (s) 44 (14,253 117,867 2,059,187 5,214,874 3,181,185 2 135,000 101,896 208,315 438,246 233,468 1 49,206 13,751 369,970 908,795 555,731 1 19,673 181,451 133,066 285,801 153,945 8 4,504 82,610 169,259 449,334 284,304 2 18,807 27,068 1,084,044 2,927,079 1,840,235 3 38,788 3515,994 2,024,416 5,218,985 3,158,288 3 171,223 3540 (s) 130,309 310,556 170,120 (s) 49 (31,802 148,097 727,332 1,779,173 1,051,305 3 90,286 26,732 1,069,356 2,898,508 1,803,427 2 43,629 32,756 400,236 765,575 390,770 7 22,800 151,528 257,130 443,587 209,469 5 9,877 576,791 19,081,677 38,800,495 22,934,021 1 449,663 13,205 D D D S 16,392 1463,300 D D D S 409,776 18,204 D D 659,874 3 15,301 16,124 308,634 737,239 416,760 11 20,150 183,878 150,157 380,183 224,708 13 6,878 291,835 107,450 240,426 126,230 26 11,468 2610,135 717,785 1,749,932 1,045,423 2 37,572 54,248 250,492 720,555 471,072 4 15,040 35,887 467,293 1,029,377 574,352 3 22,532 772,308 13,994,898 23,966,642 10,175,998 10 711,796 44,784 706,632 881,299 179,137 17 20,389 1D D D D S D S9,799 669,498 1,173,205 506,367 7 53,296 (s) 51 (s)3,683 310,192 483,278 166,817 14 37,445 (s) 72 (s)

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4,803 229,305 452,852 232,928 10 9,844 53,077 140,666 306,545 162,437 6 4,938 (s) 41 (s)3,077 140,666 306,545 162,437 6 4,938 (s) 41 (s)10,452 3,945,032 8,156,752 4,290,488 24 250,043 24,253 1,748,045 3,914,785 2,185,158 (s) 46 (148,697 32,942 1,444,853 2,159,644 697,068 1 57,134 1D D D D S D S5,180 417,778 828,717 408,904 1 23,529 64,262 321,698 643,089 319,051 1 16,892 94,720 345,256 818,681 474,957 3 26,297 161,441 81,334 269,792 190,901 1 2,778 12,077 176,352 332,322 153,063 11 12,946 338,413 2,277,134 3,338,316 1,091,824 1 84,697 13,676 894,369 1,321,128 457,369 1 21,358 12,162 593,483 828,878 224,351 1 18,252 11,928 705,640 1,071,276 376,440 1 41,254 19,418 1,513,284 2,198,828 701,962 6 37,279 112,484 207,262 351,657 152,066 11 3,282 222,599 170,431 353,156 191,519 13 10,674 351,708 799,778 955,186 157,017 1 12,169 13,342 419,108 707,271 306,158 8 32,491 82,167 282,229 500,837 239,122 2 27,335 65,925 1,953,704 2,899,475 971,619 1 88,000 12,607 1,331,619 D D S 68,905 12,644 315,150 774,875 464,092 1 14,907 12,656 D 397,133 D S 38,374 12,168 D 335,145 D S D S611,510 91,086,511 163,060,570 72,992,733 1 4,413,565 2101,868 26,856,590 39,273,284 12,603,504 1 1,098,110 42,537 1,352,775 1,945,236 597,266 2 25,929 42,010 788,592 1,005,247 219,045 3 16,067 118,475 2,246,412 3,877,583 1,651,144 3 186,490 530,655 13,406,026 17,622,690 4,364,540 3 569,779 531,483 6,528,939 9,536,819 3,041,674 1 112,696 26,515 D D D S 70,408 378,901 1,387,080 3,276,482 1,886,924 3 100,315 24,161 897,716 2,041,770 1,138,500 1 44,544 144,161 897,716 2,041,770 1,138,500 1 44,544 141,614 238,761 442,500 201,622 1 6,866 11,754 79,431 171,342 92,790 3 4,788 32,204 146,234 264,514 118,492 1 4,238 125,000 1,963,051 3,324,286 1,360,448 3 64,344 53,671 414,291 620,168 205,179 5 12,359 162,795 286,186 467,542 182,372 14 6,280 918,535 1,262,574 2,236,575 972,897 4 45,705 647,593 7,868,435 14,464,532 6,577,860 3 413,677 419,989 3,774,602 7,321,572 3,514,088 5 181,742 127,604 4,093,833 7,142,959 3,063,772 2 231,935 6

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40,148 2,216,367 5,082,958 2,877,836 2 212,383 840,148 2,216,367 5,082,958 2,877,836 2 212,383 817,343 5,399,601 9,534,325 4,235,345 2 269,069 153,226 1,654,378 2,492,531 889,193 1 43,482 12,212 568,276 884,947 317,453 2 36,063 13,973 (s) 192,431 684,407 519,486 16 90,195 (s) 46 (s)1,983 410,740 720,445 315,206 2 9,545 23,383 1,816,699 3,509,151 1,693,173 3 68,851 52,121 529,036 890,509 367,365 3 14,971 742,204 4,147,000 7,523,298 3,405,531 2 283,702 438,310 3,899,179 6,946,409 3,074,752 2 267,416 43,894 247,821 576,889 330,779 6 16,286 2912,044 848,276 2,605,942 1,784,373 3 73,754 54,377 334,817 694,087 365,140 2 27,708 14,299 239,364 638,988 415,781 14 21,518 152,462 194,307 1,101,299 909,128 1 18,535 829,121 3,400,882 5,824,094 2,492,868 2 157,913 42,211 394,592 649,632 254,301 1 10,715 12,021 360,854 481,630 129,758 1 D S23,503 2,067,943 3,704,331 1,663,606 3 122,588 693,567 6,904,658 14,320,971 7,509,440 1 460,715 610,667 851,088 1,760,968 928,624 4 76,293 63,436 174,221 472,062 303,289 2 8,521 520,026 1,595,874 2,979,442 1,384,988 4 61,702 106,535 1,172,215 1,844,509 667,836 2 41,838 21,168 169,863 289,533 122,009 1 7,393 12,119 106,992 256,063 150,083 5 14,035 (s) 61 (s)25,273 1,587,482 3,549,979 1,986,860 3 146,529 911,154 319,236 986,558 670,057 3 53,924 3913,189 927,688 2,181,857 1,295,693 3 50,479 875,535 11,024,717 21,013,111 10,355,128 3 643,841 416,360 3,831,846 6,524,141 2,833,972 2 244,463 38,845 973,538 2,116,078 1,149,917 8 67,678 106,525 761,648 1,369,947 630,504 2 20,296 168,626 1,269,636 2,315,811 1,058,517 29 22,552 810,523 440,828 1,268,350 852,139 4 85,685 1910,050 1,533,677 3,072,154 1,576,062 7 107,014 1014,606 2,213,544 4,346,630 2,254,017 2 96,153 821,806 3,609,135 8,770,689 5,253,016 2 193,489 53,709 587,318 1,785,765 1,235,250 1 31,751 12,535 D D 1,090,032 3 D S8,115 685,807 1,227,518 542,035 10 49,033 186,909 1,984,791 4,329,163 2,335,827 3 57,407 624,557 3,868,552 7,368,357 3,539,182 2 101,437 12,741 326,506 603,680 292,051 1 6,944 14,492 595,607 1,365,113 762,791 1 21,163 113,241 2,328,698 4,390,165 2,086,136 1 60,972 14,083 617,741 1,009,399 398,204 16 12,358 434,329 7,943,860 12,311,591 4,402,878 2 180,734 3

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D D D D S D S4,094 D D D S 9,375 313,171 1,980,227 3,509,505 1,533,162 4 65,398 8D D D D S D S5,342 857,208 2,379,038 1,511,715 1 28,090 118,975 1,329,740 2,633,131 1,291,270 4 61,364 311,439 810,709 1,471,921 655,364 7 40,146 45,884 375,779 840,382 460,894 7 12,273 121,652 143,251 320,828 175,012 1 8,945 116,073 1,232,490 3,454,282 2,218,793 27 112,895 (s) 52 (s)6,221 348,764 1,575,538 (s) 1,225,221 (s) 48 (80,022 (s) 73 (s)9,852 883,725 1,878,744 993,572 3 32,873 610,650 5,770,408 8,766,163 3,186,132 2 291,531 11,531 3,806,263 4,587,974 931,500 1 70,323 11,531 3,806,263 4,587,974 931,500 1 70,323 13,515 970,692 2,494,670 1,549,677 1 158,601 12,319 385,593 1,308,771 932,082 1 95,964 12,398 290,819 486,292 196,668 1 15,909 1

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Relative standard error of total capital expenditures (new and used) (%)

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Geographic area 2007 NAICS codes Meaning of 2007 NYearNumber of paid emRelative standard Annual payroll ($1Production workerProduction workerProduction workerTotal cost of mateTotal value of shiValue added ($1,0Relative standard Total capital expeRelative standard

CodeDSgf(s)khiXA

Table NameReleaseDateUniverseGeographyCoverageIndustryCoverageData ItemsandOtherIdentifyingRecords

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Sort OrderFTP DownloadContactInformation

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DescriptionThe North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives ...The North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives .

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ...This item includes the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such ...This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ..."Production workers" refers to workers up through the line-supervisor level engaged in fabricating, processing, assembling, inspecting, receiving, packing, warehoursing, shipping (but not delivering) maintenance, repair, janitorial, guard services, product development, auxiliary production for the ...This item covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment. Note: Beginning with the 2006 ASM, for ...

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this .

DescriptionWithheld to avoid disclosing data for individual companies; data are included in higher level totalsWithheld because estimate did not meet publication standards.1,000 to 2,499 employees500 to 999 employeesSampling error exceeds 40 percent25,000 to 49,999 employees2,500 to 4,999 employees5,000 to 9,999 employeesNot applicable (for the Commodity Flow Survey, not applicable or comparison data unavailable)Standard error of 100 percent or more

Annual Survey of Manufactures: Geographic Area Statistics: Statistics for All Manufacturing by State: 2011 (REFRESH)

12/17/2013

The universe is a sample of manufacturing establishments classified in sectors 31-33 with one or more paid employees at any time during the year.

Data are shown at the U.S. and state levels.

Data are shown at the three- and four-digit North American Industry Classification System (NAICS) levels.

This file contains data on:Total employmentRelative standard error of total employment (%)Average annual production workersTotal annual payroll ($1,000)Production workers wages ($1,000)Production workers hours (1,000)Total cost of materials ($1,000)Value added ($1,000)Relative standard error of value added (%)Total value of shipments ($1,000)

The reference year for the data. This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ...

This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased ... This item covers the received or receivable net selling values, f.o.b. plant (exclusive of freight and taxes), of all products shipped as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought ... This measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the ... This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ... Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. These data include expenditures for: Permanent additions and major alterations to manufacturing and mining establishments. New and used machinery and equipment ...

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Total capital expenditures (new and used) ($1,000)Relative standard error of total capital expenditures (new and used) (%)Data are presented in ascending geography (U.S. x ST) by NAICS code sequence.Download the entire table athttp://www2.census.gov/econ2011/AM/sector31/AM1131AS201.zipU.S. Census Bureau, Manufacturing & Construction Division Information Services Center Washington, DC. 20233-6900 Tel: (301)763-4673 ask.census.gov

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The North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives ...The North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives .

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ...This item includes the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such ...This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ..."Production workers" refers to workers up through the line-supervisor level engaged in fabricating, processing, assembling, inspecting, receiving, packing, warehoursing, shipping (but not delivering) maintenance, repair, janitorial, guard services, product development, auxiliary production for the ...This item covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment. Note: Beginning with the 2006 ASM, for ...

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this .

This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ...

This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased ... This item covers the received or receivable net selling values, f.o.b. plant (exclusive of freight and taxes), of all products shipped as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought ... This measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the ... This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ... Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. These data include expenditures for: Permanent additions and major alterations to manufacturing and mining establishments. New and used machinery and equipment ...

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The North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives ...The North American Industrial Classification System (NAICS) codes are a combination of Census NAICS codes and NAICS-based rollup codes. The NAICS-based roullup codes are comprised of two or more NAICS industry codes. The North American Industry Classification System was developed by representatives .

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ...This item includes the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such ...This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ..."Production workers" refers to workers up through the line-supervisor level engaged in fabricating, processing, assembling, inspecting, receiving, packing, warehoursing, shipping (but not delivering) maintenance, repair, janitorial, guard services, product development, auxiliary production for the ...This item covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment. Note: Beginning with the 2006 ASM, for ...

This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this .

This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not ...

This term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased ... This item covers the received or receivable net selling values, f.o.b. plant (exclusive of freight and taxes), of all products shipped as well as all miscellaneous receipts, such as receipts for contract work performed for others, installation and repair, sales of scrap, and sales of products bought ... This measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the ... This is expressed as a percent of this item's estimate. Since the estimate is based on a sample, rather than a complete census, it is subject to sampling variability and may differ from results that would have been obtained from a complete census. The relative standard error is a measure of this ... Represents the total new and used capital expenditures reported by establishments in operation and any known plants under construction. These data include expenditures for: Permanent additions and major alterations to manufacturing and mining establishments. New and used machinery and equipment ...

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Timestamp First Name Last Name Country10/15/2014 9:43:45 Matt Romero United States of America10/16/2014 7:37:41 tavish baker United States of America

11/4/2014 0:13:36 Hemant Malhotra United States of America11/4/2014 0:20:48 Marek Stój Poland11/4/2014 0:26:05 Vinay Nayak India11/4/2014 0:26:40 Venkatarahavan Nagarajan India11/4/2014 1:27:25 Gaurav Achra India11/4/2014 1:30:27 Walid Zayed United Arab Emirates11/4/2014 1:42:38 Clement Fagon France11/4/2014 2:14:05 Katja Špehar Slovenia11/4/2014 3:33:47 Ricardo Merino Spain11/4/2014 4:10:42 Rasmus Kristensen Denmark11/4/2014 5:14:43 Sivasubramanian Ramachandran India11/4/2014 5:27:22 Ashish Soni Sweden11/4/2014 5:48:21 María Arsuaga-Ríos Switzerland11/4/2014 5:55:18 Laurent Vincent France11/4/2014 5:58:28 Conor Roche China11/4/2014 6:44:56 Panagiotis Papapanagiotou Greece11/4/2014 7:13:23 Nik Ho New Zealand11/4/2014 7:21:16 Sungyong Kim South Korea11/4/2014 7:45:30 Neeraj Singh United States of America11/4/2014 7:51:09 Igor Santos Spain11/4/2014 8:42:43 Nagihan Altunkaya Kurtoglu Turkey11/4/2014 9:05:02 Remco Frijling Netherlands11/4/2014 9:12:28 Helena Garbarino Uruguay11/4/2014 9:13:59 Aleksey Kovalyov United States of America11/4/2014 9:14:10 Jacob Guggenheim United States of America

11/4/2014 10:04:26 Jeffrey Wells United States of America11/4/2014 10:12:18 Marcelo Santos Brazil11/4/2014 10:17:42 Zeeshan Shah United States of America11/4/2014 10:28:19 Pavan Kristipati United States of America11/4/2014 10:38:26 Anilkumar Chavda United States of America11/4/2014 10:39:13 Mohan Swamy United States of America11/4/2014 10:58:38 Neo Chiu Taiwan11/4/2014 11:34:59 Adnan Masood United States of America11/4/2014 11:58:16 Myung Choi United States of America11/4/2014 11:59:37 Annamaria Genero Spain11/4/2014 12:00:00 sameer singhal United States of America11/4/2014 12:02:32 Daniel Barbosa Brazil11/4/2014 12:04:41 Jeff Hollan United States of America11/4/2014 12:19:35 Cyril Dever France11/4/2014 12:32:35 Alina Scarlett United States of America11/4/2014 12:36:08 Alexandr Borichevsky Belarus11/4/2014 12:39:47 duy huynh United States of America11/4/2014 13:02:39 Cody Fletcher United States of America11/4/2014 13:08:06 Deyvid William Angioletti Evaristo Canada

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11/4/2014 13:16:38 Nitin Nayak United States of America11/4/2014 13:17:04 Erick Gonzalez Mexico11/4/2014 13:21:44 Sridhara (Sri) Gutti United States of America11/4/2014 13:28:46 Christian Rivero United States of America11/4/2014 14:23:54 Ramakrishna Kaja United States of America11/4/2014 13:51:49 Theo Goda United States of America11/4/2014 14:30:01 Subrat Nanda United States of America11/4/2014 14:30:29 Steny Sebastian Australia11/4/2014 14:30:57 Steny Sebastian Australia11/4/2014 15:09:31 Max Li United States of America11/4/2014 15:30:51 George Brenckle United States of America11/4/2014 15:30:51 George Brenckle United States of America11/4/2014 15:30:51 George Brenckle United States of America11/4/2014 15:40:12 Florent Dotto France11/4/2014 15:59:52 Kevin Gallagher United States of America11/4/2014 16:17:58 Kristin Lancaster United States of America11/4/2014 16:27:04 Violeta Carrion United States of America11/4/2014 16:42:23 Anand Bonthu United States of America11/4/2014 16:50:37 Doychin Damyanov Bulgaria11/4/2014 17:02:38 Arvinder Khosla United States of America11/4/2014 17:04:17 beny prabowo Indonesia11/4/2014 18:00:17 Iana Dankova United States of America11/4/2014 18:44:31 Felipe Andrade Brazil11/4/2014 19:20:09 Myung Choi United States of America11/4/2014 19:55:28 Anna Poukchanski United States of America11/4/2014 19:35:38 Clara Piloto United States of America11/4/2014 20:36:25 Dan Nguyen Vietnam11/4/2014 20:40:00 Angel Valarezo Unda Spain11/4/2014 20:46:40 Martin von Wyss Australia11/4/2014 21:56:02 Dave Russo United States of America11/4/2014 22:35:17 Igor Bobriakov Thailand11/4/2014 22:40:08 Adriano Carezzato Brazil11/4/2014 22:40:26 Wat Hughes United States of America11/4/2014 23:17:56 Shahdad Moradi Tabrizi Canada

11/5/2014 0:00:53 Abhishek Varshney India11/5/2014 0:06:21 Krishna Kodeboyena United States of America11/5/2014 1:11:32 Tom Christian United States of America11/5/2014 2:08:50 Md. Abdullah Al Qayum Bangladesh11/5/2014 7:10:21 Sylvain Emeric Australia11/5/2014 7:38:21 Paolo Vaona Italy11/5/2014 7:52:48 Maureen Walsh United States of America11/5/2014 8:17:33 michael fokke Netherlands11/5/2014 8:47:27 Sripriya Moorthy United States of America11/5/2014 9:02:10 Frank Mitchell United States of America11/5/2014 9:05:50 Pradeep Pachigolla India11/5/2014 9:08:52 Pradeep Pachigolla Malaysia11/5/2014 9:11:04 Pradeep Pachigolla Malaysia11/5/2014 9:49:36 Brand Niemann United States of America

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11/5/2014 10:37:42 MaryKay Plantes United States of America11/5/2014 11:29:48 Maria Nieva Canada11/5/2014 11:43:47 Michale Bailey Jamaica11/5/2014 12:13:14 Bharathi Selvaraj United States of America11/5/2014 13:46:08 Chuxing Chen United States of America11/5/2014 16:31:05 Didier Lucotte Isle of Man11/5/2014 16:45:56 Beth Graham United States of America11/5/2014 19:34:11 Erwann de La Serve France11/5/2014 19:49:31 Erwann de La Serve Australia11/5/2014 19:55:17 Alexander Vaai Samoa11/5/2014 20:10:09 Lourdes Engel United States of America11/5/2014 20:25:44 Gaurav Garg United States of America11/5/2014 20:52:54 Jamie Little Canada11/5/2014 21:08:47 Arun Nair United States of America11/5/2014 22:02:21 Zeeshan Mehdi United Kingdom11/5/2014 22:24:23 Yazmin Vallejo United States of America

11/6/2014 2:06:53 Shahdad Moradi Tabrizi Canada11/6/2014 3:39:41 David Torne Spain11/6/2014 5:28:50 Rob Stupay France11/6/2014 6:00:07 Santosh Rao United States of America

11/6/2014 12:40:11 Kevin Ashton United States of America11/6/2014 14:30:10 Claudinei Walker Brazil11/6/2014 14:31:24 Ganesh Krishnan India11/6/2014 15:38:11 Andres Osorio Colombia11/6/2014 15:54:56 Babar Bhutta United States of America11/6/2014 17:06:59 Daniel Seiderer United Kingdom11/6/2014 17:14:41 Amer Yusuf Malik Pakistan11/6/2014 19:33:47 Cynthia Cauthern United States of America11/6/2014 20:26:40 Patric Brown United States of America11/6/2014 20:37:39 Anthony Quivers United States of America11/6/2014 20:40:00 Anthony Quivers United States of America11/6/2014 20:58:07 Marie-Pier Duchesne Canada11/6/2014 21:04:57 Scott Barnard United States of America11/6/2014 23:02:24 Chetan Sukuru United States of America

11/7/2014 0:19:19 Mohammad Oli Ahad Bangladesh11/7/2014 8:47:21 Abey Varughese United States of America11/7/2014 9:36:46 Nova Bhojwani United States of America

11/7/2014 10:13:17 Ken Corless United States of America11/7/2014 12:01:51 Nagender Akula India11/7/2014 12:38:38 Jim Shand United States of America11/7/2014 13:07:52 Scott Zimmerman United States of America11/7/2014 14:17:53 Philip Stockton United Kingdom11/7/2014 15:45:23 Katherine Goodier United States of America11/7/2014 17:08:19 Rob Dies United States of America11/7/2014 17:34:59 Doru Manase Canada11/7/2014 18:14:45 Rakesh Moza United States of America11/7/2014 20:14:45 Harrison Roberts United States of America11/7/2014 20:42:02 Juan Murillo Mexico

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11/8/2014 1:38:22 Jason Sherman United States of America11/8/2014 1:45:16 Michael Jenkins United States of America11/8/2014 2:35:42 Mark Qin Canada11/8/2014 6:07:52 Ronak Sutaria India11/8/2014 6:09:48 Ronak Sutaria India11/8/2014 7:11:19 Hesamedin Kamalan Malaysia11/8/2014 7:38:09 Ka Lok Katherine Lau Hong Kong

11/8/2014 10:06:11 Adrian C. Prelpicean Sweden11/8/2014 10:49:25 Mohammad Karim Canada11/8/2014 11:03:03 Bertrand Desmarest Mexico11/8/2014 14:20:39 Jacek Lukasik Poland11/8/2014 14:36:57 lakshmikanth kamath mangalore United States of America11/8/2014 14:55:38 Andrew Reynolds United States of America11/8/2014 15:14:16 Naji Almahmoud Germany11/8/2014 16:53:46 Rick Osterberg United States of America11/8/2014 17:13:31 sarabjit mann United States of America11/8/2014 17:15:23 Dustin Verity United States of America11/8/2014 19:00:15 James Bullock United States of America11/8/2014 19:48:57 Kotesh Rao United States of America

11/9/2014 0:44:14 Mike Wierzbinski United States of America11/9/2014 1:22:49 Li Ma Singapore11/9/2014 3:27:50 Annie Liao Taiwan11/9/2014 9:58:23 James Spencer United States of America

11/9/2014 10:49:23 Daniel Williams United States of America11/9/2014 15:20:23 Adedamola Ibironke Nigeria11/9/2014 15:27:01 grigoriy kostyaev United States of America11/9/2014 15:40:18 Kyrylo Iun United States of America11/9/2014 16:43:51 Nelson Garzeri Brazil11/9/2014 17:39:41 Maixent ASSI Ivory Coast11/9/2014 18:32:32 Huan Dao Singapore11/9/2014 20:06:44 Kesney Fontes United States of America11/9/2014 20:41:37 Jeff Seeley United States of America11/9/2014 21:17:15 Sajid Sheikh Canada11/9/2014 21:26:35 Neel Kumar United States of America11/9/2014 22:54:32 Phares Parayno Philippines11/10/2014 1:56:51 SUNIL SEN United Kingdom

11/10/2014 10:35:49 Richard Swakla United States of America11/10/2014 15:57:06 Ramakrishna Kaja United States of America11/10/2014 18:45:40 Walid Touijri Switzerland11/10/2014 18:46:47 Irina Sedenko Canada11/10/2014 19:53:40 Farhan Baaqri United States of America

11/11/2014 1:02:28 Jayanta Guha India11/11/2014 9:53:46 Anugoon Leelaphattarakij Thailand

11/11/2014 10:24:13 Haifeng Bi United States of America11/11/2014 10:40:05 kamesh vemu United States of America11/11/2014 13:23:33 Venkataramesh Kommoju India11/11/2014 15:02:44 Celeste Long United States of America11/11/2014 15:47:45 Joe Rock United States of America

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11/11/2014 15:48:44 Rodrigo Navarro Mexico11/11/2014 15:49:54 Farhan Siddiqui United States of America11/11/2014 15:49:54 Emily White United States of America11/11/2014 15:51:30 Anupam Gupta United States of America11/11/2014 15:53:56 Giuseppe Sinicropi Italy11/11/2014 15:56:00 Frédéric HENRI France11/11/2014 15:58:21 Jay Mason United States of America11/11/2014 16:00:01 Sunil Ramaiah United States of America11/11/2014 16:00:19 Sarabjit Mann United States of America11/11/2014 16:01:22 Alfredo Gomez United States of America11/11/2014 16:03:36 Alejandro Rojas Chile11/11/2014 16:13:04 Edmund Greaves United States of America11/11/2014 16:30:44 Pradeep Kumar Balasubramanian Germany11/11/2014 16:54:13 Adam Siegel United States of America11/11/2014 16:56:36 Bertrand Jaffrès France11/11/2014 18:36:54 Rajesh Krishna United States of America11/11/2014 19:51:06 Scott Moccia Canada11/11/2014 20:13:34 Balakrishna Mekala China11/11/2014 20:51:54 Chuxing Chen United States of America11/11/2014 21:10:36 Theodoro Ramos Brazil11/11/2014 21:33:40 Revathi Kollegala United States of America11/11/2014 22:12:32 Zubair Suri United States of America11/11/2014 22:21:04 Zubair Suri United States of America

11/12/2014 1:15:24 Shamim Ramputh Mauritius11/12/2014 1:15:38 Sohail Alam India11/12/2014 2:36:54 Kevin Hendricks United States of America11/12/2014 2:38:16 Sumit Ranjan United States of America11/12/2014 3:38:39 Fabrizio Antonelli Italy11/12/2014 3:48:51 Andrew Pyke United Kingdom11/12/2014 4:04:38 Maria Gomez Germany11/12/2014 4:36:44 Oliver Darga Germany11/12/2014 5:23:49 Bram De Sutter Belgium

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https://www.linkedin.com/profile/view?id=5478443&trk=nav_responsive_tab_profileca.linkedin.com/pub/maria-sandra-nieva/8/911/270/

Oil & Energy http://www.linkedin.com/in/bharathiselvaraj/

https://www.linkedin.com/profile/view?id=36357106fr.linkedin.com/pub/erwann-de-la-serve/b/a4b/b76/fr.linkedin.com/pub/erwann-de-la-serve/b/a4b/b76/

www.linkedin.com/in/lourdesengel/www.linkedin.com/pub/gaurav-garg/2/9b4/a9/

uk.linkedin.com/in/zmehdi/https://www.linkedin.com/profile/view?id=64479335&trk=nav_responsive_tab_profileca.linkedin.com/pub/shahdad-moradi-tabrizi/3/431/463/

www.linkedin.com/in/kevinashton/https://www.linkedin.com/pub/claudinei-walker-ph-d/23/214/7a0http://in.linkedin.com/pub/ganesh-krishnan/2b/6a3/864http://co.linkedin.com/in/andres0sorio/

http://uk.linkedin.com/in/danielseiderer

http://linkedin.com/in/cynthiacauthernhttp://www.linkedin.com/in/patricbrown/

ca.linkedin.com/pub/marie-pier-duchesne/3a/1ab/b16/Internet https://www.linkedin.com/in/phisqb

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www.linkedin.com/in/novabhojwani/www.linkedin.com/in/kencorless/

www.linkedin.com/in/jimshand/www.linkedin.com/in/zimmy266

E99
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Shear Blue Managing PartnerData Analyst Information Technology and Services

In Vancouver, BC, Canada Software Engineer in Test Information Technology and ServicesUrban Patterns Chief ScientistUrban Patterns FounderMyTeksi Android Engineer Computer SoftwareNielsen Company Research Analyst Market Research Katherine LauKTH, Royal Institute of Tec PhD Student Research

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Computer SoftwareKesney Fontes Enterprise Applications M Law PracticeE-MAPS COO Information Technology and ServicesDaffron Canada Sr. Programmer Analyst UtilitiesFerro Corp Manager, SAP BI and FinanInformation Technology anMiriam College Professor Education ManagementWIPRO TECH LEAD BankingEMC Cloud Business Director Computer Hardware

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Payback Sr. Manager Database AdmiMarket ResearchUnited Nations System Analyst Government Relations

Cummins Inc Director Corporate StrategyWellsFargo Technology Lead WholesaleCycle30 Enterprise Architect Information Technology anPhilips Product Manager Health, Wellness and Fitne

Internet www.linkedin.com/in/jasonrsherman/

Internet http://in.linkedin.com/in/rsutariaInternet http://in.linkedin.com/in/rsutaria

https://www.linkedin.com/profile/view?id=66291670

http://se.linkedin.com/in/adrianprelipcean/ca.linkedin.com/in/mzaidulkarim/www.linkedin.com/in/desmarest

Internet https://www.linkedin.com/profile/view?id=14631558&trk=nav_responsive_tab_profilehttps://www.linkedin.com/in/atreynoldsde.linkedin.com/in/najialmahmoudhttp://www.linkedin.com/in/rickosterbergca.linkedin.com/in/sarabmann/https://www.linkedin.com/in/dustinverity

Oil & Energy http://www.linkedin.com/in/jimbullock/Oil & Energy

http://www.linkedin.com/in/mwierzbinski/http://sg.linkedin.com/pub/li-ma/22/840/138

Internet http://lnkd.in/dSyGPy5

br.linkedin.com/pub/nelson-garzeri/0/64/603/www.linkedin.com/in/maixentgemeri/http://lnkd.in/b64S8qFhttps://www.linkedin.com/profile/view?id=26552174

ca.linkedin.com/in/sajidsheikhhttps://www.linkedin.com/pub/nalin-neel-kumar/a/629/363ph.linkedin.com/pub/phares-parayno/34/6a7/47a/ie.linkedin.com/pub/sunil-sen/1b/aaa/183/www.linkedin.com/pub/richard-swakla/1/5b0/2b2/www.linkedin.com/in/kajark/https://www.linkedin.com/profile/view?id=5504795&trk=nav_responsive_tab_profileca.linkedin.com/in/irinasedenko

in.linkedin.com/pub/jayenthaa-gguha-ocp-oce/13/7a1/909/https://www.linkedin.com/profile/view?id=47591931https://www.linkedin.com/profile/view?id=187974099&trk=nav_responsive_tab_profilehttps://www.linkedin.com/in/kameshvemuin.linkedin.com/pub/venkataramesh-kommoju/1a/513/285/www.linkedin.com/pub/celeste-long/9/149/561/www.linkedin.com/pub/joe-rock/3/1a8/964/

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Laureate International UnivEnterprise Architect Education Management Rodrigo NavarroActavis Associate Director, BusinesPharmaceuticalsGE Sr Manager Data ModelingHospital & Health CareAvenues International Inc. Director Information Technology an

DWH & BI Manager BankingFHSolution Freelance Computer SoftwareM&S Consulting Directory, Business Intell Information Technology anApple Principle Software EngineeComputer SoftwareRefrek CEO Computer SoftwareHavas Media Group SVP, Data Platforms Archit Marketing and AdvertisingTRIXandTRAX LLC CEO EntertainmentGE Healthcare Senior Systems Engineer Medical DevicesTCS Senior business analyst Financial ServicesRetail Industry Leaders AssVP, Sustainability & Compl RetailBull Manager Information Technology anInfosys Limited Sr Technology Architect Information Technology and ServicesUniversity of Guelph Information Officer VeterinaryGE Healthcare Lead Service Integrator Hospital & Health Care

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www.linkedin.com/in/fsiddiqu/www.linkedin.com/in/emilyzwhite/https://www.linkedin.com/in/anupamgupta01ch.linkedin.com/in/giuseppesinicropi/fr.linkedin.com/in/frederichenri/www.linkedin.com/pub/jay-mason/4/557/b3b/www.linkedin.com/in/sunilramaiah/ca.linkedin.com/in/sarabmannhttps://www.linkedin.com/profile/view?id=12229842&trk=nav_responsive_tab_profilehttps://www.linkedin.com/pub/alejandro-rojas/0/1a7/58awww.linkedin.com/pub/edmund-greaves/b/725/733/de.linkedin.com/in/pradeepkumarbalahttps://www.linkedin.com/in/adammsiegelhttp://fr.linkedin.com/in/bertrandjaffres/

https://www.linkedin.com/profile/view?id=46084019www.linkedin.com/in/chuxingchenbr.linkedin.com/in/theodororamos/enhttps://www.linkedin.com/profile/view?id=13400955

https://www.linkedin.com/in/zubairsurihttp://www.linkedin.com/pub/shamim-ramputh/7/7/93a/http://in.linkedin.com/in/alamsohailhttps://www.linkedin.com/profile/view?id=52810719https://www.linkedin.com/in/ranjansumithttp://it.linkedin.com/pub/fabrizio-antonelli/8/b72/480/https://www.linkedin.com/profile/view?id=46159696&trk=nav_responsive_tab_profile

https://www.linkedin.com/profile/view?id=185257443

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[email protected]@[email protected]

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https://www.linkedin.com/profile/view?id=36357106

https://www.linkedin.com/in/chetansukuru

I97
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Date Day Taxies Drivers Points Free POB Oncall1-Aug Sunday 15,305 23,437 13,835,333 218 357 21 2-Aug Monday 15,390 25,592 17,096,870 306 391 23 3-Aug Tuesday 15,393 25,266 17,738,104 331 403 23 4-Aug Wednesda 15,416 25,531 17,731,631 324 416 26 5-Aug Thursday 15,413 25,577 17,725,409 318 426 26 6-Aug Friday 15,416 25,746 17,319,151 280 462 31 7-Aug Saturday 15,384 25,504 16,431,043 303 414 20 8-Aug Sunday 15,313 23,337 13,918,396 252 363 18 9-Aug Monday 15,197 23,894 14,009,361 282 299 14

10-Aug Tuesday 15,369 24,911 16,913,423 299 398 24 11-Aug Wednesda 15,406 25,317 17,646,680 318 406 25 12-Aug Thursday 15,420 25,514 17,827,659 329 416 25 13-Aug Friday 15,427 25,767 17,197,322 298 449 30 14-Aug Saturday 15,686 25,733 16,645,242 323 402 20 15-Aug Sunday 15,315 23,680 15,031,228 276 341 18 16-Aug Monday 15,382 25,664 17,515,041 316 390 25 17-Aug Tuesday 15,381 25,215 17,772,021 332 401 26 18-Aug Wednesda 15,381 25,418 18,040,192 342 398 26 19-Aug Thursday 15,401 25,490 18,302,104 349 401 25 20-Aug Friday 15,423 25,727 17,277,778 283 454 34 21-Aug Saturday 15,396 25,568 16,356,668 304 419 21 22-Aug Sunday 15,308 23,553 14,439,076 260 341 18 23-Aug Monday 15,359 25,481 17,219,693 307 389 27 24-Aug Tuesday 15,445 25,117 17,671,728 325 390 24 25-Aug Wednesda 15,422 25,438 18,146,962 341 398 24 26-Aug Thursday 15,468 25,562 18,065,342 327 418 26 27-Aug Friday 15,569 25,763 17,322,698 286 451 32 28-Aug Saturday 15,455 25,734 16,106,636 296 426 21 29-Aug Sunday 15,411 23,657 14,402,482 258 347 19 30-Aug Monday 15,469 25,758 17,279,287 311 390 24 31-Aug Tuesday 15,457 25,466 17,622,960 316 415 25

9,410

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Arrived Noshow Payment Break Busy STC Offline Poweroff 2 0 10 305 70 3 408 0 3 0 9 288 70 4 340 5 3 0 9 278 70 4 317 2 3 0 10 276 71 4 307 3 3 0 10 277 72 4 303 2 3 0 10 280 71 4 297 2 3 0 9 287 69 3 331 1 2 0 10 320 70 3 401 1 2 0 8 315 73 3 442 2 3 0 10 287 71 4 337 7 3 0 9 278 72 4 319 5 3 0 9 271 73 4 307 2 3 0 10 274 73 4 297 2 2 0 9 276 69 3 327 7 2 0 10 317 71 3 401 1 3 0 9 281 72 4 334 4 3 0 9 274 72 4 317 2 3 0 9 272 73 4 310 2 3 0 10 266 72 4 307 3 4 0 10 275 73 4 302 3 3 0 10 285 71 3 324 1 2 0 10 323 73 3 309 1 3 0 9 284 73 4 340 5 3 0 9 286 72 4 324 4 3 0 10 272 71 4 312 6 3 0 10 271 72 4 306 3 3 0 10 277 74 4 299 3 2 0 10 283 69 3 327 1 2 0 10 321 72 3 404 3 3 0 9 283 70 4 339 7 3 0 10 280 70 4 315 2

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Number123456789

1011

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DescriptionVehicle is free to take a passenger Passenger is on board Vehicle is “on call”. Not available for street hire.Vehicle has reached the pickup location of a booking job and driver has pressed arrived button.Driver has pressed “no show” button since the passenger who has booked job did not turn up at the pickup location.Cashless payment is in progressVehicle is not to free to take a passengerVehicle is not to free to take a passengerSoon to Clear. Vehicle will become free in short time.Driver has logged off from the MDT.The radio signal is switched off

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Status Working Status Monthly Total (min) Daily Average (min)Free Yes 144,991,325 304POB Yes 190,637,213 399Oncall Yes 11,396,500 24Arrived Yes 1,389,675 3Noshow Yes 478 0Payment Yes 4,545,621 10Break No 136,537,356 286Busy No 34,090,694 71STC No 1,740,376 4Offline No 160,228,126 336Poweroff No 1,450,434 3

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Ttile Data DescrLast UpdatFrequencyFile TypeMyTransport.sgAnnual Age Distribution of Motor Vehicle All vehicle 2014 Yearly PDF, XLSAnnual Bus Population By Passenger Capacity All buses r 2014 Yearly PDF, XLSAnnual Car Population by CC Rating All passeng 2013 Yearly PDF, XLSAnnual Car Population by Make All passeng 2014 Yearly PDF, XLSAnnual Goods Vehicle and Bus Population By Make All goods 2014 Yearly PDF, XLSAnnual Goods and Other Vehicles Population by Type of Bo All goods v 2013 Yearly PDF, XLSAnnual Motor Vehicle De-registered by Quota Categories All vehicle 2013 Yearly PDF, XLSAnnual Motor Vehicle Population by Type of Vehicles All vehicle 2013 Yearly PDF, XLSAnnual Motor Vehicle Population by Vehicle Quota Categorie All vehicle 2014 Yearly PDF, XLSAnnual Motor Vehicle Transferred All vehicles 2013 Yearly PDF, XLSAnnual Motorcycle Population by CC Rating Data Descri 2013 Yearly PDF, XLSAnnual Motorcycle and Scooter Population by Make All motorcy 2014 Yearly PDF, XLSAnnual New Registration of Cars by Make All cars ne 2014 Yearly PDF, XLSAnnual New Registration of Goods Vehicles and Buses by M All goods v 2014 Yearly PDF, XLSAnnual New Registration of Motor Vehicle by Quota Categori All vehicle 2013 Yearly PDF, XLSAnnual New Registration of Motorcycles by Make All Motorcy 2013 Yearly PDF, XLSAnnual Vehicle Inspection - Passing Rate of Motor Vehicles onMotor vehic 2014 Yearly PDF, XLSAnnual Vehicle Population by Type of Fuel Used All vehicle By the 12t Yearly PDF, XLSAnnual Vehicle Registration - Car Prefix (Identification Marks Car Prefix By the 12t Yearly PDF, XLSBus Service Info All info rel Aug-12 Adhoc TXTBus Stop Location A symbolic May-13 Half YearlySHPCarpark Lots Availability Carpark lot- Realtime TXTCarpark Rates Rates and May-12 Quarterly TXTCommuter Facilities All bus sto 2014 Yearly PDF, XLSInformation on Pedestrian Facilities Pedestrian 2014 Yearly PDF, XLSInformation on Road Facilities Road facili 2014 Yearly PDF, XLSInformation on Street Lighting Facilities All street 2014 Yearly PDF, XLSLTA Arrow Marking Arrow marki May-13 Half YearlySHPLTA Bollard A point rep May-13 Half YearlySHPLTA Control Box A box conta 2013 Half YearlySHPLTA Convex Mirror A convex mi 2013 Half YearlySHPLTA Cycling Paths LTA Cyclin Jun-14 Quarterly SHPLTA Detector Loop An electron May-13 Half YearlySHPLTA Emergency Gate A gate foun May-13 Half YearlySHPLTA Gantry A raised me May-13 Half YearlySHPLTA Guardrail Rail that p May-13 Half YearlySHPLTA Lamp Post A symbolic May-13 Half YearlySHPLTA Lane Marking Lines paint May-13 Half YearlySHPLTA Passenger Pickup Bay The area al May-13 Half YearlySHPLTA Pedestrian Crossing A line repr May-13 Half YearlySHPLTA Pedestrian Overhead Bridges and Underpasses A polygon r May-13 Half YearlySHPLTA Railing A metallic May-13 Half YearlySHPLTA Retaining Wall A wall buil May-13 Half YearlySHPLTA Road Hump A raised se May-13 Half YearlySHPLTA Speed Regulating Strip Raised pain May-13 Half YearlySHPLTA Street Paint A polygon r May-13 Half YearlySHPLTA Traffic Signal Aspect Traffic lig May-13 Half YearlySHPLTA Word Marking Words paint May-13 Half YearlySHPMonthly Age Distribution of Motor Vehicles All vehicle By the 12t Monthly PDF, XLSMonthly Effective Transfer of Car Ownership by Make All effecti 2013 Yearly PDF, XLSMonthly Motor Vehicle Population by Type of Vehicles All vehicle By the 12t Monthly PDF, XLS

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Monthly Motor Vehicle Population under Vehicle Quota Syst All vehicle By the 12t Monthly PDF, XLSMonthly Motor Vehicles De-Registered under Vehicle Quota All vehicle By the 12t Monthly PDF, XLSMonthly New Registration of Cars by Make All cars ne By the 12t Monthly PDF, XLSMonthly New Registration of Goods Vehicles & Buses by MakAll goods vBy the 12t Monthly PDF, XLSMonthly New Registration of Motor Vehicles under Vehicle Q All vehicle By the 12t Monthly PDF, XLSMonthly New Registration of Motorcycles by Make All motorcyBy the 12t Monthly PDF, XLSMonthly New Registration of Off Peak Cars (Including Popul All OPC (i By the 12t Monthly PDF, XLSMonthly Type and Number of Vehicles Transferred All vehiclesBy the 12t Monthly PDF, XLSMonthly Vehicle Population Statistics by Type of Fuel Used All vehicle By the 12t Monthly PDF, XLSMonthly Vehicle Quota - COE Bidding Results COE biddingBy the 12t Monthly PDF, XLSMonthly Vehicle Quota - Prevailing Quota Premium Prevailing By the 12t Monthly PDF, XLSMotor Vehicle Annual Mileage Monthly sur 2014 Yearly PDF, XLSNumber of Traffic Lights All Traffic 2014 Yearly PDF, XLSPark & Ride Location Park and Ri Aug-12 Adhoc TXTPremium Bus Route Premium Bus Aug-12 Adhoc TXTPublic Transport Capacity - Average Daily Km Travelled and Public tran 2014 Yearly PDF, XLSPublic Transport Capacity - Registered Bus Fleet Bus populat 2014 Yearly PDF, XLSPublic Transport Capacity - Taxi Supply Taxi supplyBy the 12t Monthly PDF, XLSPublic Transport Journeys Passenger 2014 Yearly PDF, XLSPublic Transport Utilisation - Average Public Transport RidersAverage da 2014 Yearly PDF, XLSPublic Transport Utilisation - Average Trip Distance Average tr 2014 Yearly PDF, XLSRapid Transit System - Number of MRT / LRT Station MRT and LRT 2014 Yearly PDF, XLSRapid Transit System - Rail Length MRT and LRT 2014 Yearly PDF, XLSRoad Section Line Line drawn May-13 Half YearlySHPTaxi Stand Location A point rep May-13 Half YearlySHPTotal Lane - km of Roads Maintained By LTA Whole Road 2014 Yearly PDF, XLSTraffic Images Webcam ima- Realtime JPEGTraffic Information This includ- Realtime TXTTraffic Sign A point rep May-13 Half YearlySHPTraffic Speed Band Traffic spe - Realtime XMLTraffic Trends Daily traf 2014 Yearly PDF, XLS

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