Skip to main content
Rural tourism. Establishments and beds. By categories Catalonia
Establishments Allotjament rural independent Country house Shared country house Independent country house Masia Farm Beds Allotjament rural independent Country house Shared country house Independent country house Masia Farm
2022 2,588 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 241 759 329 1,259 20,963 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,541 5,044 3,912 9,466
2021 2,540 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 238 734 323 1,245 20,498 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,492 4,843 3,866 9,297
2020 2,514 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 236 723 314 1,241 20,190 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,468 4,734 3,758 9,230
2019 2,482 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 228 719 307 1,228 19,809 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,384 4,675 3,660 9,090
2018 2,465 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 224 718 306 1,217 19,527 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,344 4,663 3,614 8,906
2017 2,415 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 219 710 293 1,193 19,038 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,295 4,588 3,464 8,691
2016 2,403 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 218 709 289 1,187 18,938 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,283 4,586 3,475 8,594
2015 2,367 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 216 718 287 1,146 18,737 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,294 4,636 3,450 8,357
2014 2,301 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 210 713 278 1,100 18,130 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,222 4,584 3,329 7,995
2013 2,237 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 203 703 263 1,068 17,696 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,187 4,542 3,180 7,787
2012 2,157 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 202 695 251 1,009 16,972 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,170 4,440 3,051 7,311
2011 2,099 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 193 688 236 982 16,453 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,098 4,404 2,885 7,066
2010 2,029 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 197 662 228 942 15,847 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,150 4,144 2,788 6,765
2009 1,950 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 197 644 223 886 15,216 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,138 4,022 2,722 6,334
2008 1,859 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 194 614 206 845 14,199 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,087 3,761 2,467 5,884
2007 1,777 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 189 596 195 797 13,629 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,066 3,630 2,359 5,574
2006 1,669 1,265 204 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 200 .. Confidential data, low reliability or not available 12,865 8,437 2,086 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,342 .. Confidential data, low reliability or not available
2005 1,457 1,112 177 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 168 .. Confidential data, low reliability or not available 11,369 7,439 1,908 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 2,022 .. Confidential data, low reliability or not available
2004 1,283 945 176 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 162 .. Confidential data, low reliability or not available 10,131 6,295 1,891 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 1,945 .. Confidential data, low reliability or not available
2003 1,132 815 170 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 147 .. Confidential data, low reliability or not available 9,066 5,461 1,836 .. Confidential data, low reliability or not available .. Confidential data, low reliability or not available 1,769 .. Confidential data, low reliability or not available
Source:
2003-2019: Idescat, based on data from the Ministry of Labour, Social Affairs and Families.
2020-2022: Idescat, based on data from the Ministry of Business and Labour.
(..) Confidential data, low reliability or not available.

Last update: July 25, 2023.

Methodological note

Definition of concepts

Rural tourism
Form of tourism in accommodation located in the rural environment. They tend to be in contact with agricultural operations and buildings built before 1950 in accordance with the architecture of the zone. They have drinking water, electricity, heating, sanitary services and the appropriate furniture. They are classified into four groups: shared country house, independent country house, masia and masoveria.
Rural tourism. Shared country house
Single family house in a population nucleus that the owner shares with tourists and provides accommodation in the form of rooms and at least breakfast.
Rural tourism. Independent country house
Single family house in a population nucleus that provides accommodation services in the form of an entire house.
Rural tourism. Masia
Single family house outside of any population nucleus that the owner shares with tourists and provides accommodation in the form of rooms and at least breakfast.

Methodological aspects

Tourist establishments are disaggregated into hotel establishments, camp sites and rural tourism establishments, according to their category and capacity.

The information presented herein is fundamentally structural and focused on tourist offering. Given the characteristics of this sector, the information has been clustered for certain municipalities.

Until 1994 the source for this data was the General Directorate of Tourist Companies and Activities, belonging to the Ministry of Transportation, Tourism and Communications. Since 1995, the General Directorate of Tourism, belonging to the Ministry for Business and Labour of the Generalitat de Catalunya, has been in charge of publishing data on the registry of tourist establishments: hotel establishments, camp sites, rural tourism establishments and housing for tourists' use.

Until year 2003, Terres de l'Ebre tourism brand was included in Costa Daurada and Val d'Aran formed part of the Pirineus. At the end 2011, the Catalan Tourism Agency approved the creation of a new tourism brand called Costa Barcelona. This region includes the territory of the former Costa del Garraf and Costa de Barcelona-Maresme.

In 2015, two changes were made to the tourism brands, approved by the Catalan Tourist Board. The first change is that the counties El Vallès Oriental and El Vallès Occidental, which used to be a part of the Catalunya Central brand, as of 2015 will come under the Costa Barcelona brand. The second change is to the name of the brand: Catalunya Central will now be known as Paisatges de Barcelona.

On the occasion of the creation of El Moianès county, the municipalities of Castellcir, Castellterçol, Granera and Sant Quirze Safaja (which were part of the Costa Barcelona brand), from 2015 they become part of Paisatges de Barcelona brand.

Thus Catalonia is divided into 9 tourism brands:

  • Barcelona: Barcelonès.
  • Costa Brava: Alt Empordà, Baix Empordà, Gironès, Pla de l'Estany i Selva.
  • Costa Daurada: Alt Camp, Baix Camp, Baix Penedès, Conca de Barberà, Priorat i Tarragonès.
  • Costa Barcelona: Alt Penedès, Baix Llobregat, Garraf, Maresme, Vallès Occidental i Vallès Oriental.
  • Paisatges Barcelona: Anoia, Bages, Moianès i Osona.
  • Pirineus: Alt Urgell, Alta Ribagorça, Berguedà, Cerdanya, Garrotxa, Pallars Jussà, Pallars Sobirà, Ripollès i Solsonès.
  • Terres de Lleida: Garrigues, Noguera, Pla d'Urgell, Segarra, Segrià i Urgell.
  • Terres de l'Ebre: Baix Ebre, Montsià, Ribera d'Ebre i Terra Alta.
  • Aran: Val d'Aran.

Until 2011, the territorial disaggregation by tourism brands was calculated using special estimators for small areas. This methodology does not guarantee that the total amount is exactly the same as the result for the whole of Catalonia using the traditional estimator. However, the discrepancies are of little significance.

The new county of El Moianès was created on 1 May 2015 (Law 4/2015, of 23 April, on the creation of the county of El Moianès) from the aggregation of five municipalities of the county of El Bages, one from the county of Osona and four from the county of El Vallès Oriental.

You can get more information about these statistics in the methodology.