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Production of reliable and comparable statistical information in EMSA:

This presentation discusses the production of reliable and comparable statistical information in the European Maritime Safety Agency (EMSA), covering the process from raw data to maritime knowledge. It explores the scope of raw data collected by EMSA, data purchased from commercial providers, and the methodology used to produce statistical information. The presentation also touches on the various areas of maritime knowledge, including coding, vessels, movements, and cargo.

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Production of reliable and comparable statistical information in EMSA:

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  1. Production of reliable and comparable statistical information in EMSA: from raw data to maritime knowledge Béatrice Comby Project Officer - Production and development of maritime statistics International Maritime Statistics Forum Gdansk, 28-30 April 2008

  2. Raw data Statistical information Maritime knowledge

  3. 1 - Raw data

  4. Scope • Data collected by EMSA belong to Member States (“Top up”) • Safe Sea Net => index server • Port State Control => Paris MoU Secretariat • Data purchased with restricted use • Non commercial • Internal • Other data processed with limited mandate • Equasis • Pilot projects with Member States (HNS)

  5. Type 1 – Information systems managed by EMSA • Vessel Traffic Monitoring (Safe Sea Net) • Port State Control (THETIS) • LRIT EU Data Center • Accident investigation • Satellite monitoring (Clean Sea Net) • AIS (STIRES) 2 - Data purchased from commercial providers Mainly: • Ship particulars • Ship movements

  6. Use Example: calculation of risk profile SIRENAC (current) THETIS (after 2010) At the time of the LAST INSPECTION At the time of the CALL

  7. Scenario 1 history factor = 0

  8. + 16 + 1 X 2,8 compared to scenario1 Scenario 2 Scenario 1 + Flag change

  9. + 3 + 1 + 2 X 3,5 compared to scenario1 Scenario 3 Scenario 2 + Class change

  10. X 5,8 compared to scenario 1 Scenario 4 Scenario 3 + History change + 20

  11. 2 – Statistical information

  12. Methodology Avoid double counting • Flag: the sum of each Member State total does not equals the EU total • Late reporting = possible overlaps (ex conflict MMSI/flag) Ensure correct definitions apply • Ex: build year = 4 different definitions according to regulations Audit quality Document methodology

  13. Products Yearly statistics • EQUASIS Publication • Report to COM (RoRo Ferry surveys, banned ships, etc..) Monthly statistics • EU waters • EU fleet • Key indicators Ad-hoc • Impact studies • Preparation of visits to Member States • Technical reports

  14. 3 – Maritime knowledge

  15. Main areas • Coding • Vessels • Movements • Cargo

  16. Coding Example: flag • EU fleet? • Difference between flag and registers. Ex: GB possible registers : • Isle of Man • Bermuda • Gibraltar • Cayman Islands • Falkland Islands • British Virgin Islands • St Helena • Antigua • Turks and Caicos Islands • Jersey • Guernsey • Montserrat

  17. Vessels Example: MMSI / Flag SafeSeaNet National administrations LRIT Checks / Validation rules THETIS STIRES Other sources

  18. Movements Example: UNLOCODES

  19. Cargo Example: Pilot project on HNS transportation • Top up approach at the request of MS • Data collected by national administration • Risk assessment / anti pollution preparedness

  20. Thank you www.emsa.europa.eu

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