Accuracy and reliability

Overall accuracy

These statistics are based on basic data that has been validated and corrected when compiling other statistics products and is therefore considered to be of good quality. For an assessment of overall accuracy, refer to the relevant statistical documentation.

An description of the method of data collection and processing of the results regarding household consumption is referred to the documentation Household Budget Survey.

It is important to point out that the level of detail of the consumption groups included in the calculation of sports consumption is very high (at the 8-digit level) - which is why there is a greater uncertainty in the consumption estimates than for the uncertainty in the various product groups available at https://www.dst.dk/consumption at a five-digit level. The more detailed consumer product groups, the greater the uncertainty associated with the estimates. For example the following groups are not included in the estimates as they are associated with very high uncertainty and can also have a major impact on overall sports consumption:

• 09214111 Horses, ponies and accessories
• 09213111 boats, dinghy, all kinds, buy / sell

The sample size becomes smaller when the sample is divided by socio-economic status, households, total income, type of housing, region and age. The distribution within the individual groups, as far as possible, follows the real distribution in the population, subject to deviations. As a result, some sample groups become very small or under-represented, creating greater variance and uncertainty associated with the estimate of sports consumption. IDRFU02 is a good example where the sample for unemployed is approx. 20 respondents compared to, for example, a pensioner, an early retirement pensioner, which includes a sample of over 600 respondents.

The purpose of the consumption tables is to elucidate the relationship between the average sport consumption and the total consumption in the consumption survey for different household types. It is not appropriate to consider the actual amounts as accurate estimates of sports consumption, as this is a sample associated with statistical uncertainty. This uncertainty can be significant for small sample sizes and for distribution / analysis variables with small coherence / variance with sports consumption.

For precision in sports employment, refer to the documentation for [Quarterly Statistics for the Workforce](https://www.dst.dk/en/Statistik/dokumentation/statistikdokumentation/kvartalsopdelt- Labor Force Statistics).

Sampling error

There will be uncertainty associated with the sample in the Consumer Survey.

Non-sampling error

For an assessment of other uncertainties, refer to the relevant documentation.

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

These statistics are based on validated registry data, which is considered to be of high quality. There is no definite quality measurement of the statistics, as well as no uncertainty calculations. For an assessment of the quality of the underlying data sources, refer to the relevant documentation.

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.