Quality policy

Statistics Denmark is a professionally and politically independent institution developing, producing and publishing statistics on society. Statistics Denmark produces impartial and objective statistics in accordance with recognised methods and statistical procedures. Furthermore, Statistics Denmark ensures statistical confidentiality. Our goal is for the statistics to be accurate and reliable, coherent and comparable.

Statistics Denmark defines the statistics on the basis of users’ needs, publish them timely and punctually and aim to present them in a clear and understandable way. To this end, Statistics Denmark’s professional independence is specified by law, cf. Act on Statistics Denmark, and it is ensured that the staff has adequate education, training and experience to accommodate the current statistical requirements.

Statistics Denmark produces and disseminates official statistics and ensures coherence within and between the statistics, including comparability over time and geographical areas. To the widest extent possible, existing administrative sources are used to minimise the reporting burden on enterprises and citizens.

Statistics Denmark emphasises good service, efficiency and cost-effectiveness to fulfil the increasing national and international requests. Statistics Denmark participates in the international cooperation and meets the requirements to the European statistical system.

Statistics Denmark is working according to well-defined methods and plans. Quality indicators and other important factors concerning processes and products are well-defined, and outputs are monitored in accordance with these. If the quality indicators are not satisfactory, changes and improvements of processes and procedures will be implemented.

Statistics Denmark’s quality system is based on the 16 principles in the European statistics Code of Practice, as published by Eurostat:

1. Professional independence
   1bis Coordination and cooperation
2. Mandate for data collection and access to data
3. Adequacy of resources
4. Commitment to quality
5. Statistical confidentiality and data protection
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