Statistical processing
Contact info
Division of Short Term Statistics, Department of Business StatisticsMathias Bluhme
+45 40 22 56 37
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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..