Last update: 1 June 2023

Tourist accommodation establishments: all commercial, private and other accommodation establishments.

Commercial accommodation: a building (hotel, boarding house, camping site, bungalow complex, community hostel, holiday boat) created or used for the purpose of providing accommodation services, excluding private accommodation and other accommodation. Data on holiday boats are not provided by the HCSO for data protection reasons.

Private and other accommodation: independent building or a delimited part thereof used for the purpose of providing accommodation, not belonging to the accommodation type of hotel, boarding house, camping site, bungalow complex and community hostel, not exclusively designed for the provision of accommodation.

Accommodation establishments in operation: units with a guest flow during the survey period. Capacity data for the reference period refer in each case to accommodation establishments in operation during the month.

Revenues in accommodation establishments: the revenues that were realised during the period under review. Types: accommodation, catering and other revenues. Contrary to the data previously reported by the HCSO, these revenues do not include items extending over the reference period that were subsequently recorded.

Revenues from catering services: revenues that only include amounts linked to rooms payable for food and drink consumption in catering establishments. Unlike previously reported by the HCSO, they do not include items charged for consumption by external guests in hotels.

Other revenue: includes the amounts paid by guests for spa and wellness services and other charges (excluding accommodation, catering fees and tourist tax).

Comparability is ensured during the calculation of indices.

The sums of individual figures – due to rounding – may differ from the total figures.

Monthly data for commercial accommodation in the first release are provisional.

Data correction: data may differ from those previously published due to the retrospective correction of erroneous data and the ex-post inclusion of data submitted late.

When territorial (regional, county) data are examined, the phenomenon may occur that moving towards more and more detailed data, extreme indices are generated in the breakdown of an observation variable due to a decline in the number of reporting units.