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Quality Policy of Statistics Denmark

Statistics Denmark is a professionally independent institution that develops, produces and disseminates statistics about society. Statistics Denmark’s policy is to work according to sound methodology and appropriate statistical procedures and with impartiality and objectivity while assuring statistical confidentiality. Our aim is to produce statistics that are accurate and reliable, coherent and comparable.

The statistics are defined according to users’ needs and released in a timely and punctual manner. We strive to present the statistics in a clear and understandable form.
In order to realise this, Statistics Denmark‘s professional independence is specified in law and it is ensured that staff has adequate training and experience to meet current statistical needs.

Statistics Denmark is responsible for official statistics in Denmark and needs to ensure that statistics are internally coherent and comparable; business and administrative sources are used when possible in order to avoid excessive burden on respondents.

Statistics Denmark puts emphasis on good service, efficiency and cost effectiveness to meet increasing domestic and international demands. Statistics Denmark takes part in international cooperation and is fully compliant with the demands of the European Statistical System.

Statistics Denmark works according to well-defined processes and according to plan. Quality indicators and other important factors regarding processes and outputs are well-defined and results are checked accordingly. If quality indicators are not satisfactory, changes will be carried out and improvements made on processes and procedures.

The quality system of Statistics Denmark is based on the 15 principles of the European Statistics Code of Practice (CoP) published by Eurostat:

  1.  Professional independence
  2. Mandate for data collection
  3. Adequacy of resources
  4. Commitment to quality
  5. Statistical confidentiality
  6. Impartiality and objectivity
  7. Sound methodology
  8. Appropriate statistical procedures
  9. Non-excessive burden on respondents
  10. Cost effectiveness
  11. Relevance
  12. Accuracy and reliability
  13. Timeliness and punctuality
  14. Coherence and comparability
  15. Accessibility and clarity