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Vessels arriving in main EU ports by type of vessels (estimates) - experimental statistics (mar_v_est)

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Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: [4D0] European Commission (including Eurostat)

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This table contains experimental data of quarterly estimates on vessels arriving in the EU main ports, based on data sources provided by the European Maritime Safety Agency (EMSA).

The data are presented for the EU aggregate.

Vessels arriving in the EU main ports have been estimated by Eurostat by using an autoregressive integrated moving average model with exogenous variables (ARIMAX). The model is based on Eurostat’s quarterly data of previous quarters and EMSA data sources (automatic identification system (AIS) and other administrative data).

The data are presented by vessel type according to the annex VI Type of ship classification (ICST-COM) of the Directive 2009/42/EC on statistical returns in respect of carriage of goods and passengers by sea.

10 August 2026

The concepts used in this domain are the following:

Port

A place having facilities for merchant ships to moor and to load and/or unload cargo or to disembark and/or embark passengers to or from vessels, usually directly to a pier.

Statistical Port

A statistical port consists of one or more ports, normally controlled by a single port authority, which is able to record ship, passenger and cargo movements.

Reporting Port

A statistical port for which statistics of inward and outward maritime transport flows are compiled.

Main port

A main port is a statistical port which has annual movements of no less than 200 000 passengers or recording more than one million tonnes of cargo. For ports selected on the basis of only one of these cargo or passenger criteria, detailed statistics are required only for that transport.

Seagoing vessel

Floating marine structure with one or more surface displacement hulls.

In the context of the Directive, sea-going vessels are vessels other than those which navigate exclusively in inland waters or in waters within, or closely adjacent to, sheltered waters or areas where port regulations apply.

For more information on the concepts and methodology, please consult the Reference Manual on Maritime Transport Statistics on Transport/Publications/Additional Methdological publications section on the website of Eurostat.

The data on maritime vessels used in the domain are collected at port level.

The statistical population is maritime vessel above 100 Gross Tonnage entering EU main ports.

The data are available for the EU aggregates (calculated excluding Czechia, Luxembourg, Hungary, Austria and Slovakia that are not having maritime ports).

Quarterly data

The data are estimates and their overall accuracy is considered to be good at EU level, where results are considered reliable.

The results are based on an estimation method (ARIMAX) combining several data series (Eurostat dataset and two datasets of EMSA). The precision of the estimates of the total number of vessels for the period 2017-2019 is calculated between -6% and 4%, based on the deviation with the data reported to Eurostat (available data in July 2026). The precision of estimates of the total number of vessels for the period of 2020-2024 varies mostly in the range of -5% and 7%, with three quarters having larger margin of differences, such as 14% (2021Q1), 10% (2021Q4) and 16% (2020Q2) (available data in July  2026). The accuracy for the different types of vessels varies, specifically for passenger and cruise vessels.

Analysis based on initial estimates done for 2015-2019 are available in the document in the annex. To be noted that meanwhile improvement in the filtering of MARINFO data was done by excluding double counting of vessels (anchoring).  

The data sources are in general considered highly reliable, e.g., due to the administrative obligations (SafeSeaNet) and exhaustive method of observation (AIS records based on vessels transmitters).

Number of vessels

ARIMAX is a statistical method used for forecasting time-series data. It predicts results, such as the number of vessels, based on past data and additional influencing factors. For these estimates, the ARIMAX model uses historical data from the Eurostat F2 dataset and EMSA data sources (as exogenous variables). The data were grouped by vessel type and period at EU level to create time-series for prediction. The weights assigned to the exogenous variables (vessels of SafeSeaNet and MARINFO) are determined for each type of vessel to ensure that the specific impacts of external factors on forecast outcomes are accurately recognized. For each vessel category, distinct models are developed, reflecting the unique characteristics and trends of each type in the forecasted results. The models are systematically updated with each new set of data to ensure the accuracy and relevance of the forecasts.

The use of the latest EMSA data in this method in addition to Eurostat previous quarters statistics, give assurance on capturing changes in vessel traffic (port calls) timely that may arise due to certain economic events.

Data on maritime vessels entering the main EU ports 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, or shipping agents. These data are provided to Eurostat as dataset F2 of the relevant legal act Directive 2009/42/EC.

EMSA provide data from two sources:

SafeSeaNet (SSN) is a vessel traffic monitoring and information system. It was set up as a network for maritime data exchange, linking together maritime authorities across Europe. It enables European Union Member States, Norway, and Iceland, to provide and receive information on vessels, vessel movements, and hazardous cargoes.

MARINFO dataset is built on Automatic Identification System (AIS) data from several commercial sources. The port calls are identified using algorithms and AIS data.

Quarterly

Quarterly estimates on maritime vessels are planned to be disseminated within few weeks after the reference quarter.

Geographical comparability is obtained via the application of common concepts and validation rules. The harmonised interpretation of the methodology is enhanced by the organisation of regular meetings of the Working Group on Maritime Transport Statistics, where all reporting countries are represented.

There are no major changes in the methodology used to collect and process the data in this domain since the first period of estimated data in 2017.