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Accuracy and reliability

Contact info

Business Dynamics, Business Statistics
Emil Tappe Bang-Mortensen
+45 24 67 85 25

ebm@dst.dk

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General Enterprise Statistics

Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations. The possible uncertainties of the statistics are associated with the quality of the sources of the statistic. Especially Accounts Statistics for Non-Agricultural Private Sector.

Overall accuracy

The reliability of the statistics is considered to be high.

Sampling error

Not relevant for this statistics.

Non-sampling error

The uncertainty, which is associated with the The general enterprise statistics, is connected to the uncertainty of the source statistics. In particular the Accounts Statistics for Non-Agricultural Private Sector.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

Quality assurance

Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

Quality assessment

The quality of the statistic is associated with the quality of the sources of the statistic.

In few cases there can be errors in the sector classification of the unit. These have limited impact on an aggregated level.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

From the reference year 2016 both preliminary and final figures are published. Final and preliminary figures are published in separate tables.