Holiday houses
How many tourists stay overnight in Danish holiday homes? Where in the country are there the most tourists in holiday homes? The statistics on holiday homes cover, among other things, the number of overnight stays in Danish holiday homes, broken down by nationality, geographic area, as well as future booked house weeks.
Selected statistics on Holiday houses
Year-to-date overnight stays in holiday homes
Overnight stays up to and including the most recent month, compared with the same period over the past ten years. The overnight stays are divided into Danish and foreign tourists
Data is collected from holiday house rental agencies with a minimum of 25 houses available, which are registered in the CVR register.
Overnight stays in holiday homes by nationality
Overnight stays up to and including the most recent month, compared with the same period over the past five years. The overnight stays are broken down by the following nationalities: Denmark, Germany, Sweden, Norway, the Netherlands, and Unknown country.
Data is collected from holiday house rental agencies with a minimum of 25 houses available, which are registered in the CVR register.
On the statistics – documentation, sources and method
See the documentation of statistics to learn more:
The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping.
Need more data on Holiday houses?
You can continue your search in the StatBank. Find more detailed figures on tourists in Denmark, for example, broken down by nationality and geography.