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Statistical processing

Contact info

Division of Short Term Statistics, Department of Business Statistics
Mathias Bluhme
+45 39 17 35 61

mdb@dst.dk

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Rail Transport

Data for the statistics are collected through the online data collection portal,Virk.dk quarterly from all rail operators with transport on the Danish rail network including private railways and light rail lines. Data are validated with regard to internal consistency in the report and the development in the time series on both micro (enterprise) and macro (aggregated statistics) level. No imputation (the statistics are only published when all data is collected), enumeration or seasonally adjustment are done.

Source data

The data source for passenger and goods data is questionnaires to train operators including private railways and light rail lines. The data source for investments is partly the train operators and partly infrastructure managers. Other data sources are the Danish Transport Agency. .

Frequency of data collection

Passenger and goods data are collected quarterly. Other data are collected annually.

Data collection

Data from train operators and infrastructure managers are collected through a so-called upload solution via the public data collection portal, Virk.dk.

Data from other public authorities are in some cases collected through e-mails.

Data validation

In each report, validation consists of

  • Internal consistency check: Data are checked for internal consistency, i.e. coherence between different related pieces of information within the questionnaire, e.g. with reported number of passengers, passenger-km should also be filled.
  • Development: The development in the times series for each data provider in particular from previous quarter and from the same quarter last year are checked in order to detect erroneous reports or get explanations on unusual events.

This can lead to contact of the reporting company for getting more correct data.

The compiled statistics are checked for Development: The development in the time series in particular from previous quarter and from the same quarter last year are checked in order to detect erroneous reports or get explanations on unusual events.

Data compilation

No additional data compilation are done besides data validation which can lead to corrections. There is no need for imputation (there is no missing data) or enumeration since data collection covers the full population and is complete.

Adjustment

No seasonally adjustments are made..