Railway transport measurement - passengers (rail_pa)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Lithuania


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistics Lithuania

1.2. Contact organisation unit

Transport and Tourism Statistics Division.

1.5. Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania


2. Metadata update Top
2.1. Metadata last certified 28/03/2024
2.2. Metadata last posted 29/03/2024
2.3. Metadata last update 28/03/2024


3. Statistical presentation Top
3.1. Data description

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 and
  • Annex VIII (annual data) goods and passengers transport for small undertakings.
3.2. Classification system

Goods transported by rail are classified according to the 20 divisions of goods following the 'Standard Goods Classification for Transport Statistics 2007’ with effect from reference year 2008.

The codes of regions used in the region-to-region statistics are indicated in Regulation (EC) 1059/2003 of the European Parliament and of the Council.

3.3. Coverage - sector

Railway undertakings providing transport of passengers or goods.

3.4. Statistical concepts and definitions

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.

3.5. Statistical unit

The survey covers rail transport company. 

3.6. Statistical population

The survey covers rail transport companies licensed to carry passengers and freight within the territory of the Republic of Lithuania and/or along international routes, having safety certificates.

3.7. Reference area

Operational railway network on national territory.

3.8. Coverage - Time

Data on passengers and goods are covered from 2004 onwards.

3.9. Base period

Not applicable.


4. Unit of measure Top

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).


5. Reference Period Top

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 and
– Annex VIII goods and passengers transport for small undertakings with 5 respectively 8 months deadline after the end of reference period.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Statistics on rail transport are compiled according to Regulation (EU) 2018/643 of the European Parliament and the Council of 18 April 2018 on rail transport statistics.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2. Confidentiality - data treatment

Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of Statistics Lithuania;

The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.


8. Release policy Top
8.1. Release calendar

Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar.

8.2. Release calendar access

Official Statistics Calendar

8.3. Release policy - user access

Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania.


9. Frequency of dissemination Top

The frequency of data dissemination is monthly, quarterly and annual.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

A news release on goods transport is published on the 82st day, after the end of the reference quarter.

10.2. Dissemination format - Publications

Statistical information is published in the statistical publication Lithuania in figures.

10.3. Dissemination format - online database

Database of Indicators (Transport and communications -> Rail transport).

10.4. Dissemination format - microdata access

Statistics Lithuania may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision.

10.5. Dissemination format - other

Data on passenger and goods transport are provided to and published by Eurostat.

10.6. Documentation on methodology

Definitions used in data compilation are available in Regulation (EU) 2018/643 and in the Glossary for transport statistics.

10.7. Quality management - documentation

Railway transport


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings. More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.

11.2. Quality management - assessment

Results are compared against those obtained in the previous period and the respective period of the previous year. Trends in goods and passenger transport time series are analysed. In case of significant discrepancies, data providers are contacted and reasons are determined. The data provider checks the statistical data and, if needed, sends back corrections or new, revised datasets.


12. Relevance Top
12.1. Relevance - User Needs

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

12.2. Relevance - User Satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website.

12.3. Completeness

All statistical indicators established by the legislation and their components are published.


13. Accuracy Top
13.1. Accuracy - overall

Exhaustive statistical surveys of different periodicity are conducted.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

Monthly statistics on goods transport are published on the 21st, quarterly – on the 52nd calendar day after the end of the reference quarter. Monthly statistics on passenger transport are published on the 52nd calendar day after the end of the reference month. Annual statistics on the length of railway lines, rolling stock, passenger arrivals and departures by country, railway accidents are published in the 6th month after the end of reference year.

14.2. Punctuality

Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.


15. Coherence and comparability Top
15.1. Comparability - geographical

Statistical information is comparable across the EU.

15.2. Comparability - over time

Comparability over time is fully ensured.

15.3. Coherence - cross domain

Not applicable.

15.4. Coherence - internal

Monthly, quarterly and annual information is internally coherent.


16. Cost and Burden Top

In 2022, one respondent, on average, spends 1 hour on the filling in of the statistical questionnaire on goods transport by rail (TG-01, monthly), 20 min. – passenger transport by rail (TG-06, monthly), 8 hours – goods transport by rail (TG-03, quarterly), 3 hours – rail transport (TG-02, annual).


17. Data revision Top
17.1. Data revision - policy

The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.

17.2. Data revision - practice

The results published are final and not revised later.


18. Statistical processing Top
18.1. Source data

Statistical data source: monthly and quarterly statistical survey on goods transport by rail, monthly statistical survey on passenger transport by rail, annual statistical survey on the rail, quinquennial (every five years) statistical survey on international goods and passenger transport by rail by EU region.

Administrative data sources: annual railway accidents statistics from the State Railway Inspectorate under the Ministry of Transport and Communications.

18.2. Frequency of data collection

Yearly, quarterly, monthly.

18.3. Data collection

The data are collected on the statistical questionnaires: monthly and quarterly statistical survey on goods transport by rail (TG-01, TG-03), monthly statistical survey on passenger transport by rail (TG-06), annual statistical survey on the rail (TG-02), quinquennial (every five years) statistical survey on international goods and passenger transport by rail by EU region (TG-07). Statistical report form is tested on a regular basis and, if necessary, upgraded in order to reduce statistical reporting burden to respondents.

The data are collected via the electronic statistical data preparation and transfer system e-Statistics.

18.4. Data validation

To ensure the quality of statistical data, the data are compared with the data of the previous year. Statistical analysis is performed. The trends of the time series are analyzed, the differing values of the statistical indicators are identified, the significant changes in the trends and their causes, as well as the correlations between the indicators and in case of significant deviations, the causes of the deviations and errors are corrected. 

18.5. Data compilation

The compilation of quarterly statistics on rail goods transport and tonne-kilometres summarizes the data in the monthly statistical survey on freight transport by rail (TG-01). Data are revised after the submission of the quarterly statistical survey on goods transport by rail (TG-03). On the basis of the quarterly survey, annual data on goods transport and tonne-kilometres are calculated. On the basis of the monthly statistical survey on passenger transport by rail (TG-06), quarterly and annual statistics on passenger transport and passenger -kilometres are calculated. The process of compiling statistical indicators is described in more detail in the Rail transport statistical survey methodology (only in Lithuania).

18.6. Adjustment

Rail transport data are not seasonally adjusted.


19. Comment Top

No comment.


Related metadata Top


Annexes Top