Railway transport measurement - passengers (rail_pa)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: GUS (Główny Urząd Statystyczny) - Statistics Poland


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

GUS (Główny Urząd Statystyczny) - Statistics Poland

1.2. Contact organisation unit

Statistics Centre for Transport and Communication

1.5. Contact mail address

Urząd Statystyczny w Szczecinie

ul. Jana Matejki 22

70-530 Szczecin, Poland


2. Metadata update Top
2.1. Metadata last certified 03/06/2024
2.2. Metadata last posted 03/06/2024
2.3. Metadata last update 03/06/2024


3. Statistical presentation Top
3.1. Data description

Data collection at EU level is based on the legal act Regulation EU 2018/643 and covers goods and passenger transport by rail.
The statistics are set out in 6 annexes (datasets):

  • Annex I (A) - annual statistics on goods transport,
  • Annex II (C) - annual statistics on passenger transport,
  • Annex III (E) - quarterly statistics on goods and passenger transport,
  • Annex IV (F) - quinquennial regional statistics on goods and passenger transport,
  • Annex V (G) - quinquennial regional statistics on traffic flows on the rail network,
  • Annex VIII (L) - level activity in goods and passenger transport (annual; it covers simplified statistics on transport for undertakings for which the total volume of goods or passenger transport is less than 200 million tonne-km or 500 000 tonnes, or less than 100 million passenger-km).

Data in the annexes are broken down by different categories, e.g. in annex A: by type of transport (total, national, international - total, outgoing, incoming, transit), by type of goods, by category of dangerous goods, etc. See for details: part 1 of the Reference Manual on Rail Transport Statistics

Data on passenger or goods transport cover national and international transport performed by Polish railway undertakings.

3.2. Classification system

Statistics on goods transport by railway apply the following statistical classifications:

  • for the type of goods

- until reference year 2007 (including), 24 groups of goods defined by NST/R according to the Regulation (EC) No. 91/2003;

- from reference year 2008 onwards (see: Glossary - NST 2007), 20 divisions of goods following the 'Standard Goods Classification for Transport Statistics 2007’;

  • for the type of dangerous goods

- until reference year 2018 (including), 9 groups of dangerous goods by RID according to the Regulation (EC) No. 91/2003;

- from reference year 2019 onwards, 9 groups of dangerous goods by RID according to Regulation (EU) 2018/643;

  • for the regional (country) coding

according to European legislation: "NUTS Nomenclature of territorial units for statistics" (see also RAMON/NUTS).

The NUTS2 classification which is in force at the time when data collection takes place is used, and ISO-3166 alpha-2 for the rest countries (e.g. for the countries/regions outside EAA). In regional statistics, if NUTS2 region is unknown, ISO-3166 alpha-2 code followed by XX is used. If the place is completely unknown (i.e. unknown country), the code XXXX is used.

 

 

3.3. Coverage - sector

Railway sector:

  • rail infrastructure managers

entities of the national economy or national bodies responsible, in particular, for establishing, managing and maintaining railway infrastructure, including traffic management and control-command and signalling. The entities managing solely sidings are excluded;

  • railway undertakings providing transport of passengers or goods

entities of the national economy licensed to transport by the Polish Office of Rail Transport. Included are all transport operators that dispose of/provide traction. Excluded are railway transport operators which operate entirely or mainly within industrial and similar installations, including harbours, and railway transport operators which mainly provide local tourist services, such as preserved historical steam railways. Undertakings whose only business is to provide services for the transport of passengers by metro, tram and/or light rail are excluded;

  • integrated companies

railway undertakings also being rail infrastructure managers.

 

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 kilometre. Only the distance on the national territory of the reporting country shall be taken into account.
Weight (gross-gross) means the weight of goods in tonnes (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.
Tonne-km means the unit of measurement of goods transport which represents the transport of one tonne (1 000 kilograms) of goods by rail over a distance of one kilometre. 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 is taken into account.

Other concepts and definitions are available in the part A of the Glossary for transport statistics - 5th edition - 2019

3.5. Statistical unit

The reporting units for railway transport statistics are the entities:

  • licensed to transport by rail or share traction vehicles,
  • managing railway infrastructure,
  • disposing of/providing traction.
3.6. Statistical population

Data on passenger and freight transport are collected from the railway undertakings being the entities of the national economy, operating in the national territory. Data from the undertakings operating in the Polish territory but being foreign railway companies (not registered in Poland) are not collected.
Data on infrastructure and traffic are collected from infrastructure managers and railway undertakings.

Annex L is used as an alternative to the normal detailed reporting set out in Annexes A and C, for undertakings for which:

  • the total volume of goods is at least 200,000,000 tonne-km or at least 500,000 tonnes,
  • the total volume of passengers is at least 100,000,000 passenger-km.
3.7. Reference area

Operational railway network on the national territory.

 

3.8. Coverage - Time

Data on passengers and goods transport by rail are covered from 2004 onwards.

All data sets are available since 2004.

 

3.9. Base period

Not applicable.


4. Unit of measure Top

There are the following units of measure:

  • tonnes - for the weight of goods,
  • thousand tonne-km - for the performance of rail goods transport on the national territory,
  • number of passengers - for the movements of passengers using railway vehicles between the place of embarkation and the place of disembarkation (in other words, for the number of trips),
  • thousand passenger-km - for the performance of rail passenger transport on the national territory,
  • thousand train-km - for the train (passenger, goods and other (optional) trains) movements on the national territory,
  • number of trains - for train (passenger, goods and other (optional) trains) traffic flows on the national rail network.

 


5. Reference Period Top

The reference period is a year for the data covered by:

  • Annex I (A),
  • Annex II (C),
  • Annex IV (F),
  • Annex V (G),
  • Annex VIII (L),

or a quarter for the data covered by:

  • Annex III (E).

 


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

National level:

European level: 

6.2. Institutional Mandate - data sharing

Not applicable.

 


7. Confidentiality Top
7.1. Confidentiality - policy

National level:

 European level:

  • Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
7.2. Confidentiality - data treatment

The procedures with regard to statistical confidentiality follows the Handbook on Statistical Disclosure Control (2010) and the Act of June 29, 1995 on official statistics, with later amendments (article 10 and 38).

Railway transport microdata are treated as confidential. The data are aggregated before publication.

Data are treated on a secured server, to which access is restricted and strictly controlled.

Staff working on the railway transport microdata make a commitment to respect the rules of the treatment of confidential data.

Data transmission to Eurostat takes place in encrypted format using the eDAMIS data transmission tool.


8. Release policy Top
8.1. Release calendar

The statistics are published in Eurostat Database (Database by themes/Transport/Rail transport).

They are also presented in databases or publications available on the website Statistics Poland,

e.g.:

Relase calendar is publicly available on the website Statistics Poland calendar.

 

8.2. Release calendar access

Release Calendar can be found here.

8.3. Release policy - user access

Railway transport statistics are available free of charge to users. However, more detailed information or other layouts, in compliance with confidentiality rules, can be made for a fee. The policy provides for the disseminaton of statistical data to all users at the same time. The users are informed about the release dates in the Statistical Survey Programs of Official Statistics.


9. Frequency of dissemination Top

Quarterly, e.g. Macroeconomic Data Bank, International Transport Forum

Annually, e.g. transport publications


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

Transport of goods and passengers - news release - annual edition

10.2. Dissemination format - Publications

List of regular publications containing rail transport data:

 The rail data are available on the above-mentioned websites in pdf and xlsx format, for a wide range of years (see: Archive available on each of the websites).

10.3. Dissemination format - online database

List of online databases:

10.4. Dissemination format - microdata access

Microdata is not available to users due to statistical confidentiality.

10.5. Dissemination format - other

Not applicable

10.6. Documentation on methodology

The methodological notes (basic information) are included in publications. Some terms are explained in dictionary Statistics Poland. The methodology is based on the Reference Manual for Rail Transport Statistics (see also: point 11.2).

10.7. Quality management - documentation

There are national procedures applied for quality management, e.g. annual quality analysis (quality report; not available for the public).

 


11. Quality management Top
11.1. Quality assurance

There are procedures in place to plan, monitor and improve the quality of the statistical processes.

To improve the quality, the data are collected via IT tool equipped with internal consistency and counting checks preventing from delivering inconsistent information within a questionnaire. The questionnaires include guidelines which are improved systematically if needed (on the basis of the feedback given by respondents). There are additional checks made by the CSO staff, the data providers are asked to explain or/and revise the figures if needed.

The datasets are systematically validated by Eurostat. Check results are analysed and the data are corrected if needed, or explanations are given in the country specific notes.

There are several rules that the CSO applies when conducting statistical surveys:

  • utility,
  • timeliness and punctuality,
  • accessibility and transparency,
  • comparability,
  • cohesion.
11.2. Quality management - assessment

Data quality can be assessed as high.

However, in case of goods transport one should note that:

  • regarding dataset A: the reporting units (railway undertakings) count goods (incl. those transported via seaports) according to the place of origin or destination of goods (please note that it is not always the same as the place of loading onto and unloading from a railway vehicle as indicated on the consignment note on the basis of which an undertaking perform transport - see: Reference Manual on Rail Transport Statistics). The method was imposed on the railway undertakings by the Polish rail regulatory body and it is used in their statistics. The railway undertaking systems are adapted to the methodology and they use the same methodology when compiling data for annex A. On the basis of the figures and country of origin/destination provided by the undertakings, as well as information if and how much of these goods were transported via seaports, the CSO compiles dataset A, i.e. goods transport by land is presented as international income, outcome or transit (the last position also includes transit of goods transported via seaports), respectively, whereas goods imported or exported via seaports are included in national rail transport. Summarizing, the data in dataset A should be considered rather as estimated.

 

  • regarding dataset F: the reporting units (railway undertakings) count goods taking into account the place of loading onto and unloading from a railway vehicle as indicated on the consignment notes on the basis of which they perform transports (in agreement with Reference Manual on Rail Transport Statistics).

Regarding the inconsistency between the methodology of dataset A and the one presented in the Reference Manual, the CSO is going to standardise the dataset A collection in the coming years in accordance with the Reference Manual.


12. Relevance Top
12.1. Relevance - User Needs

The purpose of the data collection is to provide information on the level and structure of transport services and on the transport potential for shaping economic policy as well as transport market analysis and research.

Data are collected for national and European strategies and programs, e.g.:

  • European Green Deal,
  • Sustainable and Smart Mobility Strategy.

Users:

  • Eurostat and other foreign statistical institutions,
  • central government administration,
  • scientific/research bodies,
  • universities - students, academic teachers,
  • individual foreign recipients,
  • international organisations,
  • local government administration - voivodeships.

 

12.2. Relevance - User Satisfaction

Not applicable  - opinions are not collected

12.3. Completeness

The data collection on rail transport statistics follows the provisions of the Regulation 2018/643. All variables in all data sets are provided.

However, in case of goods transport one should note that:

  • regarding dataset A: the reporting units (railway undertakings) count goods (incl. those transported via seaports) according to the place of origin or destination of goods (please note that it is not always the same as the place of loading onto and unloading from a railway vehicle as indicated on the consignment note on the basis of which an undertaking perform transport - see: Reference Manual on Rail Transport Statistics). The method was imposed on the railway undertakings by the Polish rail regulatory body and it is used in their statistics. The railway undertaking systems are adapted to the methodology and they use the same methodology when compiling data for annex A. On the basis of the figures and country of origin/destination provided by the undertakings, as well as information if and how much of these goods were transported via seaports, the CSO compiles dataset A, i.e. goods transport by land is presented as international income, outcome or transit (the last position also includes transit of goods transported via seaports), respectively, whereas goods imported or exported via seaports are included in national rain transport. Summarizing, the data in dataset A should be considered rather as estimated.

 

  • regarding dataset F: the reporting units (railway undertakings) count goods taking into account the place of loading onto and unloading from a railway vehicle as indicated on the consignment notes on the basis of which they perform transports (in agreement with Reference Manual on Rail Transport Statistics).

 

 


13. Accuracy Top
13.1. Accuracy - overall

Overall accuracy of the railway transport of passengers and goods statistics is good.

13.2. Sampling error

Not applicable

13.3. Non-sampling error

The population is composed of the entities of the national economy (rail sector). The undertakings offering rail transport services on the territory of Poland which are not registered in Poland, do not take part in the surveys. The CSO monitors their share in the Polish rail market taking into account the data available on the Polish Office of Rail Transport website. So far their share can be considered negligible (e.g. regarding passenger rail transport, it is less than 0.5%).

Within the population, the response rate can be assessed as high (close to 100%). The respondents hardly ever deliver incomplete questionnaires. If a variable is not delivered by a respondent, it is estimated on the basis of information available (other sources).

To reduce different types of errors, the following actions are undertaken:

- IT tool consistency and counting checks are systematically analysed and improved,

- guidelines are improved,

- the data providers are contacted and asked for completion / explanation / corrections if needed.

 

 

 


14. Timeliness and punctuality Top
14.1. Timeliness

Data are provided to Eurostat:

  • 5 months after the end of a reference period for Annex I (A) and Annex VIII (L) table L1,
  • 8 months after the end of a reference period for Annex II (C) and Annex VIII (L) table L2,
  • 3 months after the end of a reference period for Annex III (E),
  • 12 months after the end of a reference period for Annex IV (F),
  • 18 months after the end of a reference period for Annex V (G).
14.2. Punctuality

Datasets are usually transmitted on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

Some non-comparability in rail goods transport may follow from adopting a slightly different metodology than the one described in the Reference Manual on Rail Transport Statistics. See: point 11.2.

15.2. Comparability - over time

As from 2004 the statistics on the railway transport are comparable over time. Time series checks are regularly made to detect inconsistencies in the data. There were no time series breaks.

 

 

15.3. Coherence - cross domain

The data are compared with other sources for operational reasons. However, the analysis of coherence with other sources is not usually made.

15.4. Coherence - internal

Statistics are consistent within a given data set.

 


16. Cost and Burden Top

Cost of production of a railway transport statistics is estimated and presented in Statistical Survey Program of Official Statistics (Program Badań Statystycznych Statystyki Publicznej; see for details: PBSSP)

The average time of data collection by a respondent – 120 min.

The average time for completion of a questionnaire by a respondent – 30 min.

 


17. Data revision Top
17.1. Data revision - policy

Respondents are asked to verify data on a regular basis during the survey or checks.  If some errors are detected after the time of data publication, they are corrected in on-line databases (or in following publications - if possible) as soon as possible. Systematic data revisions are not made.

17.2. Data revision - practice

See: point 17.1.


18. Statistical processing Top
18.1. Source data

Datasets are based on surveys (full). Administrative data sources are used additionally for population determination only (e.g. licensed rail transport undertakings)

18.2. Frequency of data collection

Data is collected quarterly and annually.

18.3. Data collection

Reporting units submit data on-line via IT system - Reporting Portal. In exceptional cases other ways (email, postal service) of data delivery is acceptable (the data are transferred into the system by the CSO staff).

The questionnaires available in the IT system are improved and tested every year before the beginning of the survey. The on-line questionnaire is equipped with internal consistency and counting checks preventing from delivering inconsistent information within the questionnaire. The system authomatically generates notifications about deadlines, the notifications are delivered to respondents via email. The CSO staff monitors the progress of completing the questionnaires in the IT system. If there is no reply from a respondent despite of notifications, the CSO staff makes contact with them by phone.

18.4. Data validation

National level:

  • completeness control
  • consistency and counting checks in a dedicated system

Eurostat level:

Since 1999, micro-data from the reporting countries are submitted according to Commission Regulation 2018/643. The data are then checked and validated by EUROSTAT. Detected errors are then reported back to the data providers with the request for correction, this is an iterative process until at least 99.5% of all data records validated and loaded in the database.

18.5. Data compilation

The datasets are delivered to Eurostat after verification and aggregation.

18.6. Adjustment

Not applicable


19. Comment Top

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Related metadata Top


Annexes Top