Back to top
National reference metadata

Hungary

Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

For more information, please consult our metadata website section.

Close

Railway transport measurement - passengers (rail_pa)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Hungarian Central Statistical Office (HCSO)

Need help? Contact the Eurostat user support


Short metadata
Full metadata

Mandatory data collection at EU level is based on legal act, the Regulation EU 2018 / 643 and covers goods and passengers.
Data is collected as following:

  • Annex I (annual data) –goods transport ,
  • Annex II (annual data)–passenger transport,
  • Annex III – (quarterly data) goods and passengers,
  • Annex IV and V( data every five years) regional statistics on goods and passengers and rail network
20 February 2024

The main concepts used in rail domain are:


Rail passenger means any person, excluding members of the train crew, who makes a trip by rail. For accident statistics, passengers trying to embark/disembark onto/from a moving train are included.
Passenger-km means the unit of measure representing the transport of one passenger by rail over a distance of one kilometer. Only the distance on the national territory of the reporting country shall be taken into account.
Weight means the quantity of goods in tonnestones (1 000 kilograms). The weight to be taken into consideration includes, in addition to the weight of the goods transported, the weight of packaging and the tare weight of containers, swap bodies, pallets as well as road vehicles transported by rail in the course of combined transport operations. If the goods are transported using the services of more than one railway undertaking, when possible the weight of goods shall not be counted more than once.
Tonne-km means the unit of measure of goods transport which represents the transport of one tonne (1 000 kilograms) of goods by rail over a distance of one kilometer. Only the distance on the national territory of the reporting country shall be taken into account.
Train means one or more railway vehicles hauled by one or more locomotives or railcars, or one railcar travelling alone, running under a given number or specific designation from an initial fixed point to a terminal fixed point. A light engine, that is to say, a locomotive travelling on its own, is not considered to be a train.
Train-km means the unit of measure representing the movement of a train over one kilometre. The distance used is the distance actually run, if available, otherwise the standard network distance between the origin and destination shall be used. Only the distance on the national territory of the reporting country shall be taken into account.

Statistical units for rail transport statistics are all railway stations.

Data on passenger and freight transport are collected from the railway undertakings operating at national territory within thresholds mentioned in the rail regulation.
Data on traffic are collected from infrastructure managers and railway undertakings.

Operational railway network on national territory.

The tables consist mostly of annual data. There are some tables providing quarterly and quinquennial (every five years) data.


According to the Rail regulation (EU) 2018/643 data is collected as following: Annual data
– Annex I –goods transport collected for a reference period of one year with a deadline for data transmission as 5 months after the reference period,
– Annex II –passenger transport, yearly data with eight months deadline after the end of reference period
– Annex III – quarterly data for goods and passengers with a deadline of three months after the end of the reference period,
– Annex IV and V data every five years on regional statistics on goods and passengers and rail network with deadline of 12 respectively 18 months after the end of reference period

Warning email letters will be sent (before deadline)and warning phone calls will be conducted to the data providers (after the deadline) in order to increase the response rate.

The volume and performance of rail freight traffic are measured in tonnes (mass) and tonne-kilometres. Passenger transport by rail is measured in the number of passengers and in passenger-kilometres. Information on the number of train kilometres is also available.
Traffic flows on the rail network are measured in number of trains - passenger, freight and others (optional)

European aggregates are compiled by Eurostat.
The railway undertakings base their data collection on loading, inloading and movement of goods registered in their databases as "consignment notes".
Ticket sales  can be used for passenger data.

The rail license list is sent by Ministry for Innovation and Technology.The data on traffic are mostly collected from the infrastructure managers or/ and from the railway undertakings.

Rail transport statistics is published quarterly 60 days (about two months) after the reference quarter within the quarterly publication of the statistical  performances. Annual publication of the statistical performances is published about 9 months after the reference year.

Eurostat receives the quarterly data three months and annual data 5-12 months after the end of the refernce period. After reception, the data are validated and (if there are no errors or inconsistencies to be clarified with the data providers) uploaded to Eurostat's dissemination tables.

There could be problems of comparability for rail transport data collection. Comparisons of the data regarding freight declared by partner reporting destination country (so-called mirror checks) by Eurostat allow further the detection of possible inconsistencies. Sameness of the data depend (in regards of countries) on the punctuality of data providers.

Data for the current period are compared to the same period of the previous year per data provider and we try to filter out the data providers that make an magnitude error.