أيرلندا

The dataset presents the liner shipping bilateral connectivity index (LSBCI), which indicates a country pair's integration level into global liner shipping networks. The LSBCI is an extension of UNCTAD’s country-level Liner Shipping Connectivity Index (LSCI) and based on a proper bilateralization transformation.  

The dataset presents the liner shipping connectivity index (LSCI), which indicates a country's integration level into global liner shipping networks. The index base year is 2004, and the base value is on a country showing a maximum figure for 2004.

This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT).The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).   This table contains consolidated time series from various issues of the UNCTAD Review of Maritime Transport. The Review reports on the worldwide evolution of shipping, ports and multimodal transport related to the major traffics of liquid bulk, dry bulk and containers. Please see http://unctad.org/rmt.   The data refer to the beginning of an indicated year.   The figures cover seagoing propelled merchant ships of 100 gross tons and above, excluding inland waterway vessels, fishing vessels (from 2011 onwards only), military vessels, yachts, and offshore fixed and mobile platforms and barges (with the exception of FPSO - floating production, storage and offloading vessels - and drillships). Break in series: from 2011 onwards - (a) data also include the United States and Canada Great Lakes fleets; and (b) figures no longer cover the fishing vessels.

Major change in coverage in 2011. Consult About the statisticsOnly vessels at or above 1,000 gross tonnage. No fishing vessels.

This dataset briefly shows how the EU Member States and EEA Countries have organized their maritime administrations and how the respective competent bodies implement their obligations under the international Conventions and EU legislation, relating to Safety at Sea and Pollution prevention from ships. The document also presents the performance record until 2006, of the different EU Member States fleets in terms of Port State Control detentions in the three main areas and related trends (Paris MoU, Tokyo MoU, US Coast guard program).   Data cited at: European Maritime safety Agency

The maritime transport domain contains quarterly and annual data. Maritime transport data refer to gross weight of goods (in tonnes), passenger movements (in number of passengers) as well as for vessel traffic (in number of vessels and in gross tonnage of vessels). Data for transport of goods transported on Ro-Ro units or in containers are also expressed in number of units or number of TEUs (20 foot equivalent units). Data at regional level (NUTS 2, 1 and 0) are also available. The statistics on maritime transport are collected within Directive 2009/42/EC and Commission Decision 2008/861/EC, as amended by Commission Decision 2010/216/EU of the European Parliament and of the Council of 14 April 2010, by Regulation 1090/2010 of the European Parliament and of the Council of 24 November 2010 and by Commission Delegated Decision 2012/186/EU of 3 February 2012. Data are collected by the national competent authorities in the reporting countries using a variety of data sources, such as port administration systems, national maritime databases, customs databases or questionnaires to ports or shipping agents (see section 20.1). The maritime transport data have been calculated using data collected at port level. The data are displayed at port level, regional level, Maritime Coastal Area (MCA) level and country level. The data are presented in six collections, displaying main annual results, short sea shipping, passengers, goods vessel traffic and regional statistics.