Figures from the accommodation statistics show that there were approximately 1.2 million notice the difference between “guest nights” and “guest”. One guest may have several guest nights. at Norwegian the numbers refer to hotels, short-term holiday dwellings, camping sites, and youth hostels. in January 2022, 401 000 more than in January last year. This represented a 51 per cent increase.

Norwegian guest nights increased by 36 per cent compared to the same month last year, while foreign guest nights more than doubled. There were very few foreign guests in January last year and despite the increase, two in five foreign guest nights remain absent compared to January 2020.

Hotel guest nights increased by 51 per cent from January 2021. There were 90 000 more foreign guest nights at hotels, a 97 per cent increase. Nearly half of all hotel guest nights were in the A tourism region is a regional classification for a level between county and municipality. The main purpose of the classification is to constitute an appropriate level for the publishing of statistics.Oslo, Bergensregion, Tromsø, Stavangerregion, Romerike, and Trondheim.

Figure 1. Hotel guest nights for tourism regions with most guest nights in January 2022. January 2020 to 2022

Seasonally adjusted figures published for the first time

The demand in tourism vary considerably during a year, and this pattern repeats itself every year. The accommodation statistics are now seasonally adjusted, which gives us a clearer picture of the time series.

The seasonally adjusted figures show a decrease by 49 per cent from December 2021 to January 2022. Seasonally adjusted figures are available in tables 13474 and 13475 in Statbank.

Figure 2. Guest nights in Norway, sesonally adjusted and smoothed seasonally adjusted. 2016-2022¹

¹March 2020 and following months are defined as extreme values in the seasonal adjustment routine. Smoothed adjusted values have therefeore been excluded from March 2020.

Seasonally adjusted figures for accommodation statistics were first introduced with the publication of the January 2022 statistics. Monthly time series are often characterized by considerable seasonal variations, which might complicate their interpretation. Seasonal adjustment removes the effects of these fluctuations, giving a clearer picture of the time series

The Norwegian government introduced actions against the spreading of the Corona-virus in Norway on Thursday 12th of March 2020. This has severely affected the accommodation industry and has led to a change in the the accommodation pattern since March 2020 compared to what we usually observe. The seasonal adjustment routine during the Corona- crisis is done in such a way that the figures from the start of and during the crisis (from March 2020), are not included in the calculation of the seasonal pattern. Technically, in the seasonal adjustment routine, this is done by specifying March and following months as outliers.

This means that the smoothed seasonally adjusted and seasonal adjusted figures will follow each other. One important exception is the last observation, where the smoothed adjusted figure is only a projected value and the last observation is therefore not included. The smoothed adjusted figures from March 2020 will therefore be difficult to interpret.

The seasonal adjustment routine of Statistics Norway is in line with the recommendations of Eurostat

The Government introduced new travel restrictions on 13th December 2021. The quarantine hotel program was extended for travelers and others without suitable accommodation. For more information, see the government’s webpage.

In accordance with Eurostat, quarantine hotels are not included in the accommodation statistics even when there is economic activity at the hotel. Quarantine guest nights cannot be assigned by purpose as holiday, occupation or course, conference. It was not possible to extract all quarantine guest nights and some stays at quarantine hotels are included in the statistics for January. Hotels that are exclusively quarantine hotels are not included in the statistics.