EU regions (NUTS 2) by nights spent in tourist accommodation
Canary Islands had the highest nights spent in tourist accommodation of 231 regions in 2017, at 104.38 million. Mayotte had the lowest, at 83,946. The median was 6.34 million and the figure for the European Union (27) was 2.72 billion. Source: Eurostat, European Commission.
Top 40 regions, 2017
Full ranking
| Rank | Regions | 2017 | Change on 2016 |
|---|---|---|---|
| 1 | Canary Islands | 104,382,580 | +1.7% |
| 2 | Catalonia | 83,048,742 | +4% |
| 3 | Jadranska Hrvatska | 81,860,833 | +10.3% |
| 4 | Ile-de-France | 80,148,624 | +12.6% |
| 5 | Balearic Islands | 70,697,652 | +1.1% |
| 6 | Veneto | 69,184,094 | +5.8% |
| 7 | Andalusia | 68,717,603 | +3.9% |
| 8 | Provence-Alpes-Côte d’Azur | 55,009,954 | |
| 9 | Rhône-Alpes | 50,716,631 | |
| 10 | Valencian Community | 49,881,433 | +5.2% |
| 11 | Toscana | 45,935,063 | +3.7% |
| 12 | Emilia-Romagna | 40,095,054 | +6% |
| 13 | Lombardia | 39,385,960 | +5.9% |
| 14 | Tirol | 37,356,125 | +2.2% |
| 15 | Oberbayern | 37,294,795 | +6.3% |
| 16 | Languedoc-Roussillon | 36,494,757 | |
| 17 | Aquitaine | 35,127,899 | |
| 18 | Lazio | 33,808,209 | +5.2% |
| 19 | Provincia Autonoma di Bolzano/Bozen | 32,400,662 | +3.5% |
| 20 | Berlin | 30,959,445 | +0.2% |
| 21 | Noord-Holland | 29,965,073 | +9.4% |
| 22 | Kriti | 29,800,441 | +6.6% |
| 23 | Notio Aigaio | 28,913,636 | +10.9% |
| 24 | Community of Madrid | 27,144,384 | +8% |
| 25 | Mecklenburg-Vorpommern | 26,534,830 | -2.2% |
| 26 | Schleswig-Holstein | 26,424,911 | +6.7% |
| 27 | Salzburg | 23,341,866 | +3% |
| 28 | Bretagne | 23,216,369 | |
| 29 | Pays de la Loire | 23,050,909 | |
| 30 | Algarve | 22,209,935 | +6.1% |
| 31 | Campania | 20,449,600 | +2.9% |
| 32 | Darmstadt | 19,377,584 | +5.7% |
| 33 | Midi-Pyrénées | 18,058,187 | |
| 34 | Praha | 18,055,838 | +7.5% |
| 35 | Provincia Autonoma di Trento | 17,776,030 | +5% |
| 36 | Kýpros | 16,780,913 | +9.3% |
| 37 | Weser-Ems | 16,467,452 | +3.1% |
| 38 | Poitou-Charentes | 15,796,296 | |
| 39 | Liguria | 15,531,610 | +3.2% |
| 40 | Puglia | 15,190,865 | +5.2% |
| 41 | Wien | 15,093,839 | +2.3% |
| 42 | Freiburg | 15,017,608 | +1.4% |
| 43 | Piemonte | 14,900,497 | +6.3% |
| 44 | Kentriki Makedonia | 14,848,911 | +5.9% |
| 45 | Sicilia | 14,704,926 | +7.3% |
| 46 | Ionia Nisia | 14,700,308 | +7% |
| 47 | Schwaben | 14,340,572 | +5.3% |
| 48 | Sardegna | 14,222,332 | +5.5% |
| 49 | Zachodniopomorskie | 14,057,523 | +5% |
| 50 | Stockholm | 13,994,879 | +4.5% |
| 51 | Hamburg | 13,788,350 | +3.4% |
| 52 | Köln | 13,579,080 | +6% |
| 53 | Małopolskie | 13,165,713 | +6.6% |
| 54 | Västsverige | 12,284,687 | +1.6% |
| 55 | Stuttgart | 12,059,396 | +3% |
| 56 | Prov. West-Vlaanderen | 11,776,860 | +1.1% |
| 57 | Düsseldorf | 11,712,951 | +3.7% |
| 58 | Gelderland | 11,646,006 | +5.6% |
| 59 | Limburg (NL) | 11,565,732 | +3.7% |
| 60 | Kärnten | 11,310,192 | +2.4% |
| 61 | Castile and León | 11,280,921 | +5.3% |
| 62 | Brandenburg | 11,163,579 | +2% |
| 63 | Marche | 11,131,617 | -8% |
| 64 | Corse | 11,035,499 | |
| 65 | Steiermark | 10,971,252 | +3.9% |
| 66 | Hovedstaden | 10,948,698 | +2.1% |
| 67 | Galicia | 10,693,873 | +6% |
| 68 | Karlsruhe | 10,436,632 | +2.6% |
| 69 | Noord-Brabant | 10,207,288 | -6.2% |
| 70 | Budapest | 10,144,476 | +8.2% |
| 71 | Zeeland | 10,089,457 | -0.3% |
| 72 | Niederbayern | 10,030,043 | +1.6% |
| 73 | Yugoiztochen | 9,968,379 | +2.1% |
| 74 | Norte | 9,872,573 | +11.1% |
| 75 | Alsace | 9,864,323 | |
| 76 | Centre - Val de Loire | 9,838,879 | |
| 77 | Attiki | 9,600,041 | +10.1% |
| 78 | Malta | 9,580,329 | +6.8% |
| 79 | Basse-Normandie | 9,359,302 | |
| 80 | Pomorskie | 9,306,686 | +6.7% |
| 81 | Lüneburg | 9,057,879 | +0.8% |
| 82 | Calabria | 8,973,630 | +5.4% |
| 83 | Syddanmark | 8,816,382 | -1.3% |
| 84 | Friuli-Venezia Giulia | 8,729,955 | +5.1% |
| 85 | Arnsberg | 8,604,755 | +5.5% |
| 86 | Dresden | 8,588,019 | +3.7% |
| 87 | Dolnośląskie | 8,490,516 | +4.7% |
| 88 | Severovýchod | 8,304,338 | +7.8% |
| 89 | Nord-Pas de Calais | 8,287,596 | |
| 90 | Koblenz | 8,146,320 | +2.6% |
| 91 | Aragon | 7,956,122 | +7.5% |
| 92 | Região Autónoma da Madeira | 7,951,310 | +3.1% |
| 93 | Thüringen | 7,943,541 | +2.5% |
| 94 | Severoiztochen | 7,925,542 | +4% |
| 95 | Zahodna Slovenija | 7,850,319 | +15.9% |
| 96 | Pohjois- ja Itä-Suomi | 7,767,132 | +4.5% |
| 97 | Warszawski stołeczny | 7,601,661 | |
| 98 | Basque Country | 7,578,408 | +6.2% |
| 99 | Mittelfranken | 7,577,394 | +2.8% |
| 100 | Tübingen | 7,339,422 | +1% |
| 101 | Lorraine | 7,222,371 | |
| 102 | Sachsen-Anhalt | 7,003,678 | +5.5% |
| 103 | Bourgogne | 6,985,462 | |
| 104 | Kassel | 6,954,168 | +5.5% |
| 105 | Auvergne | 6,952,263 | |
| 106 | Vorarlberg | 6,892,247 | +1.6% |
| 107 | Oberösterreich | 6,888,592 | +4.1% |
| 108 | Drenthe | 6,872,039 | +3.7% |
| 109 | Overijssel | 6,856,821 | +9.5% |
| 110 | Severozápad | 6,721,835 | +6.9% |
| 111 | Sydsverige | 6,575,436 | -0.1% |
| 112 | Eesti | 6,509,299 | +4.5% |
| 113 | Niederösterreich | 6,491,384 | +4.5% |
| 114 | Helsinki-Uusimaa | 6,449,086 | +17.1% |
| 115 | Norra Mellansverige | 6,433,878 | +1% |
| 116 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 6,335,177 | +21.6% |
| 117 | Abruzzo | 6,193,473 | +1.2% |
| 118 | Småland med öarna | 6,140,432 | +3.5% |
| 119 | Hannover | 6,094,037 | +2.9% |
| 120 | Östra Mellansverige | 6,069,678 | +2.9% |
| 121 | Braunschweig | 5,933,484 | -0% |
| 122 | Jihozápad | 5,868,896 | +3.1% |
| 123 | Centru | 5,832,949 | +9.5% |
| 124 | Nyugat-Dunántúl | 5,819,675 | +7.8% |
| 125 | Śląskie | 5,810,348 | +6.6% |
| 126 | Trier | 5,794,226 | +0.3% |
| 127 | Asturias | 5,678,417 | +6.7% |
| 128 | Friesland (NL) | 5,662,640 | +5.6% |
| 129 | Sud-Est | 5,593,943 | +5.3% |
| 130 | Rheinhessen-Pfalz | 5,484,928 | +2.8% |
| 131 | Umbria | 5,483,138 | -8.4% |
| 132 | Picardie | 5,465,291 | |
| 133 | Cantabria | 5,323,145 | +4.5% |
| 134 | Unterfranken | 5,320,270 | +2.2% |
| 135 | Region of Murcia | 5,308,400 | +2.8% |
| 136 | Jihovýchod | 5,156,502 | +12.5% |
| 137 | Castilla-La Mancha | 5,071,040 | +4.6% |
| 138 | Haute-Normandie | 5,068,017 | |
| 139 | Vidurio ir vakarų Lietuvos regionas | 4,995,818 | +6.7% |
| 140 | Latvija | 4,950,929 | +12.1% |
| 141 | Midtjylland | 4,937,336 | +3.1% |
| 142 | Oberpfalz | 4,917,590 | +2.5% |
| 143 | Vzhodna Slovenija | 4,609,765 | +7.6% |
| 144 | Nordjylland | 4,484,628 | -0.6% |
| 145 | Stredné Slovensko | 4,446,391 | +4% |
| 146 | Peloponnisos | 4,431,608 | +3% |
| 147 | Prov. Antwerpen | 4,333,706 | +2.2% |
| 148 | Yugozapaden | 4,309,369 | +6.6% |
| 149 | Kujawsko-pomorskie | 4,271,410 | +9.2% |
| 150 | Franche-Comté | 4,213,688 | |
| 151 | Övre Norrland | 4,201,714 | +4.8% |
| 152 | Champagne-Ardenne | 4,182,228 | |
| 153 | Oberfranken | 4,160,016 | +0.7% |
| 154 | Leipzig | 4,159,684 | +8.4% |
| 155 | Střední Morava | 4,135,092 | +3.7% |
| 156 | Prov. Limburg (BE) | 4,105,887 | -0.9% |
| 157 | Länsi-Suomi | 4,082,713 | +3.6% |
| 158 | Chemnitz | 4,052,658 | +3.3% |
| 159 | Detmold | 4,026,514 | +5% |
| 160 | Münster | 3,948,279 | +4.4% |
| 161 | Wielkopolskie | 3,688,113 | +2.2% |
| 162 | Közép-Dunántúl | 3,653,564 | +11.1% |
| 163 | Západné Slovensko | 3,643,250 | +11.9% |
| 164 | Bucureşti-Ilfov | 3,600,639 | +7.3% |
| 165 | Valle d’Aosta/Vallée d’Aoste | 3,599,402 | +3.8% |
| 166 | Thessalia | 3,570,940 | +8.2% |
| 167 | Východné Slovensko | 3,482,845 | +3.2% |
| 168 | Podkarpackie | 3,384,948 | |
| 169 | Extremadura | 3,317,570 | +4.1% |
| 170 | Nord-Vest | 3,310,646 | +8.2% |
| 171 | Luxembourg | 3,233,979 | -1.1% |
| 172 | Etelä-Suomi | 3,211,274 | +5.1% |
| 173 | Dél-Dunántúl | 3,180,016 | +0.2% |
| 174 | Anatoliki Makedonia, Thraki | 3,137,952 | +9.7% |
| 175 | Warmińsko-mazurskie | 3,131,890 | -3.3% |
| 176 | Navarre | 3,125,413 | +5.9% |
| 177 | Bratislavský kraj | 3,095,451 | +3.5% |
| 178 | Mellersta Norrland | 2,982,497 | +0.7% |
| 179 | Sjælland | 2,970,750 | +1% |
| 180 | Észak-Magyarország | 2,903,993 | +9.6% |
| 181 | Burgenland | 2,781,046 | -0.2% |
| 182 | Limousin | 2,623,480 | |
| 183 | Voreio Aigaio | 2,609,168 | +9.1% |
| 184 | Moravskoslezsko | 2,551,815 | +8.6% |
| 185 | Észak-Alföld | 2,535,453 | +6.4% |
| 186 | Yuzhen tsentralen | 2,530,985 | +3% |
| 187 | Flevoland | 2,513,585 | +9.2% |
| 188 | Basilicata | 2,497,581 | +6.5% |
| 189 | Střední Čechy | 2,425,079 | +5.5% |
| 190 | Sterea Elláda | 2,423,657 | +10.7% |
| 191 | Prov. Luxembourg (BE) | 2,417,871 | -5.8% |
| 192 | Ipeiros | 2,413,753 | +17.1% |
| 193 | Prov. Liège | 2,412,971 | +3% |
| 194 | Sostinės regionas | 2,369,106 | +2.5% |
| 195 | Bremen | 2,357,916 | +2.5% |
| 196 | Łódzkie | 2,342,874 | |
| 197 | Vest | 2,289,826 | +0.7% |
| 198 | Nord-Est | 2,279,767 | +5.2% |
| 199 | Prov. Oost-Vlaanderen | 2,264,035 | +12.3% |
| 200 | Gießen | 2,256,170 | +4.9% |
| 201 | Saarland | 2,255,042 | +3.7% |
| 202 | Dytiki Elláda | 2,210,892 | +5.7% |
| 203 | Lubelskie | 2,149,371 | |
| 204 | Dél-Alföld | 2,116,192 | +14.5% |
| 205 | Sud-Muntenia | 2,046,686 | +3.3% |
| 206 | Prov. Vlaams-Brabant | 2,030,847 | +10.1% |
| 207 | Sud-Vest Oltenia | 1,961,117 | +8.8% |
| 208 | Região Autónoma dos Açores | 1,921,951 | +15.1% |
| 209 | Świętokrzyskie | 1,674,397 | |
| 210 | La Rioja | 1,654,361 | +5.3% |
| 211 | Groningen | 1,506,206 | +3.6% |
| 212 | Lubuskie | 1,361,214 | -1.9% |
| 213 | La Réunion | 1,352,687 | |
| 214 | Martinique | 1,296,175 | |
| 215 | Prov. Namur | 1,295,569 | +5.4% |
| 216 | Mazowiecki regionalny | 1,278,291 | |
| 217 | Pest | 1,255,350 | +7.4% |
| 218 | Podlaskie | 1,245,273 | |
| 219 | Guadeloupe | 1,236,724 | |
| 220 | Prov. Hainaut | 1,225,305 | +3.5% |
| 221 | Opolskie | 920,687 | +5.1% |
| 222 | Severen tsentralen | 759,511 | +0.3% |
| 223 | Severozapaden | 560,310 | +2.2% |
| 224 | Prov. Brabant wallon | 479,080 | +11.5% |
| 225 | Molise | 435,457 | -5.3% |
| 226 | Åland | 403,949 | -0.6% |
| 227 | Guyane | 371,167 | |
| 228 | Dytiki Makedonia | 347,707 | +8.6% |
| 229 | Ceuta | 182,114 | -1.7% |
| 230 | Melilla | 157,550 | -2.5% |
| 231 | Mayotte | 83,946 |
Other periods
About this ranking
Nights spent at hotels, holiday accommodation, campsites and similar establishments (Eurostat). Comparable across EU countries and regions.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. 13 regions with data in other periods have no value for 2017 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Nights spent at tourist accommodation establishments by NUTS 2 and 3 region (tour_occ_nin2). https://ec.europa.eu/eurostat/databrowser/view/tour_occ_nin2/default/table. Retrieved 2026-10-07.
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Rank EU regions by nights spent in tourist accommodation using official data, and cite the source.
rank_places {"indicator":"tourist_nights","level":"region","within":"European Union (27)","limit":10}
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Questions
Which region has the highest nights spent in tourist accommodation?
Canary Islands, with 104.38 million in 2017, according to Eurostat, European Commission.
Which region has the lowest nights spent in tourist accommodation?
Mayotte, with 83,946 in 2017.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Nights spent at tourist accommodation establishments by NUTS 2 and 3 region (tour_occ_nin2). Retrieved 2026-10-07. 13 regions have no value for 2017 and are not ranked.
Nights spent in tourist accommodation: other rankings
- EU countries
- Autonomous communities of Spain
- Provinces of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)
- Regions of Greece (NUTS 2)
- Regions of Netherlands (NUTS 2)
- Regions of Belgium (NUTS 2)
- Regions of Austria (NUTS 2)
- Regions of Portugal (NUTS 2)
EU regions (NUTS 2): more rankings
- Active companies
- Activity rate
- At-risk-of-poverty rate
- Average age
- Average home mortgage amount
- Live births
- New companies created
- Inflation (CPI annual change)
- Consumer price index (CPI)
- Crude birth rate
- Crude death rate
- Deaths
- Dependency ratio
- Age dependency ratio (ages 15 to 64 base)
- Employment rate
- Enterprises using artificial intelligence