Accuracy and reliability

Overall accuracy

It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 140,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty.

For the overall index on country level the uncertainty is assessed to be limited. The more detailed the indices are shown the more uncertain are the indices.

Sampling error

It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn. However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty.

The sample is compared with the population of rented dwellings once a year with an eye on e.g. geographical distribution, type of housing and ownership of the rented dwellings (private, social etc.).

Non-sampling error

The sample behind the rent indices for housing is kept up to date against BBR. To the extent that registrations in BBR are incorrect, it could result in coverage errors. Improvements to the individual lease are handled in accordance with fixed rules for so-called quality correction. These rules are based on estimates and may give measurement errors in relation to the real "pure" rent development, where the significance of improvements for the rent is subtracted from the calculated rent developments.

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

There are no uncertainty calculations, but overall the uncertainty is assessed to be limited.

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

Only final figures are published.