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Accuracy and reliability

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Short Term Statistics, Business Statistics
Majbrit Holst and Nanna Nikander Nonboe-Nygaard
+45 20 56 39 57

turist@dst.dk

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Nights spent at hotels, holiday resorts and youth hostels

The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data.

Overall accuracy

In the monthly survey the number of nights spent might be a bit underestimated in relation to the actual number of nights spent at hotels, holiday resorts and hostels etc. in Denmark as a cut-off limit of at least 40 bed places is used. Every year a survey on hotels, holiday resorts and hostels etc. with 10-39 bed places is made. Hotels, holiday resorts and hostels etc. with 10-39 bed places have a share of approx. 5 per cent of the total number of nights spent at hotels, holiday resorts and hostels etc. As a consequence, the underestimation is not regarded significant.

A possible systematic source of uncertainty may be the difficulty distinguishing between the concepts of nights spent and arrivals. The statistics do not include accommodation enterprises with 1-9 bed places and nights spent in facilities such as Airbnb.

Sampling error

Not relevant for these statistics.

Non-sampling error

The statistics is a census, but the response rate for the monthly data is not a 100 per cent and there will therefore be a lack of reliability in terms of imputed values from hotels, holiday centers and hostels etc. that have not disseminated information in time for a given month or year of reference. The respondents may have difficulties distinguishing between the concept of nights spent versus the concept of arrivals and this may lead to reporting errors.

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 statistics are a census based on data collected every month of all Danish hotels, holiday resorts and hostels etc. with 40 bed places or more and on a yearly basis hotels, holiday centers and hostels etc. with 10-39 bed places. The census is based on hotels with sector code 55.10 in The Danish Business Register and on holiday centers with sector code 55.20. However, a few enterprises may be registered under another sector code when the enterprises are operated as a secondary business, e.g. in relation to a conference center. Thus, it is not certain that all relevant companies are represented in the census, but the population is thoroughly reviewed on an annual basis in order to find any newly opened businesses that are not registered yet or registered under another sector code than 55.20 and 55.10. Since the population is relatively constant from year to year, the data are believed to be comparable from year to year.

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

The preliminary monthly data do not deviate significantly from the final data. There may be revisions in data as a result of imputations made in missing values.