EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised)
Região Autónoma da Madeira had the highest death rate from respiratory diseases (age-standardised) of 234 regions in 2015, at 304.4 per 100,000 people. Etelä-Suomi had the lowest, at 31.1 per 100,000 people. The median was 79.3 per 100,000 people and the figure for the European Union (27) was 81 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2015
Full ranking
| Rank | Regions | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Região Autónoma da Madeira | 304.4 | +15.5 pts |
| 2 | Região Autónoma dos Açores | 177.5 | -38.3 pts |
| 3 | Attiki | 139 | +19.8 pts |
| 4 | Eastern and Midland | 137.8 | +15 pts |
| 5 | Kriti | 137.7 | +18.1 pts |
| 6 | Northern and Western | 137 | +8.4 pts |
| 7 | Southern | 136.9 | +9.5 pts |
| 8 | Dytiki Elláda | 136.8 | +22.1 pts |
| 9 | Region of Murcia | 132.2 | +22.7 pts |
| 10 | Prov. Liège | 131.5 | +13.3 pts |
| 11 | Prov. Hainaut | 129.9 | +8.3 pts |
| 12 | Peloponnisos | 129.3 | +18.3 pts |
| 13 | Norte | 128 | +16.6 pts |
| 14 | Nordjylland | 127.2 | +4.6 pts |
| 15 | Ionia Nisia | 127 | +11 pts |
| 16 | Észak-Magyarország | 124.7 | +15.4 pts |
| 17 | Hovedstaden | 124.3 | +5.7 pts |
| 18 | Prov. Namur | 124 | +11.2 pts |
| 19 | Algarve | 123.4 | +11.1 pts |
| 20 | Canary Islands | 121.6 | +15.4 pts |
| 21 | Castilla-La Mancha | 120 | +17.4 pts |
| 22 | Melilla | 119.8 | +7.7 pts |
| 23 | Andalusia | 119.6 | +22.4 pts |
| 24 | Community of Madrid | 117.6 | +15.1 pts |
| 25 | Extremadura | 117.5 | +19.4 pts |
| 26 | Voreio Aigaio | 116.8 | +10.8 pts |
| 27 | Syddanmark | 115.4 | +2.1 pts |
| 28 | Prov. Limburg (BE) | 114.6 | +23 pts |
| 29 | Sjælland | 114 | +2.2 pts |
| 30 | Ceuta | 111.7 | +18.6 pts |
| 31 | Prov. Luxembourg (BE) | 111.1 | +9.7 pts |
| 32 | Prov. Brabant wallon | 110.3 | +18.3 pts |
| 33 | Thessalia | 109.9 | +13 pts |
| 34 | Jihozápad | 108.6 | +18.4 pts |
| 35 | Kýpros | 108.4 | +23.8 pts |
| 36 | Midtjylland | 108.1 | +0.5 pts |
| 37 | Cantabria | 107.8 | +6.7 pts |
| 38 | Észak-Alföld | 107.6 | +25 pts |
| 39 | Pomorskie | 107.4 | +12.9 pts |
| 40 | Warszawski stołeczny | 107 | +6.9 pts |
| 41 | Valencian Community | 106.8 | +20.5 pts |
| 42 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 106.6 | +11.3 pts |
| 43 | Łódzkie | 106.5 | +24.6 pts |
| 44 | Kentriki Makedonia | 104.3 | +10.9 pts |
| 45 | Asturias | 104.3 | +14.4 pts |
| 46 | Prov. Antwerpen | 103.9 | +17.1 pts |
| 47 | Notio Aigaio | 103.9 | -6.5 pts |
| 48 | Malta | 103.3 | +9.7 pts |
| 49 | Mazowiecki regionalny | 102.1 | +16.5 pts |
| 50 | Sterea Elláda | 102.1 | +9.9 pts |
| 51 | Balearic Islands | 102 | +15.9 pts |
| 52 | Východné Slovensko | 101.7 | +23.2 pts |
| 53 | Stredné Slovensko | 100.4 | +20.6 pts |
| 54 | Anatoliki Makedonia, Thraki | 100.3 | +13.9 pts |
| 55 | Vest | 99.8 | +6.8 pts |
| 56 | Galicia | 99.7 | +16 pts |
| 57 | Nord-Est | 99.5 | +17 pts |
| 58 | Pest | 98.7 | +28.4 pts |
| 59 | Arnsberg | 98.3 | +7.1 pts |
| 60 | Prov. Oost-Vlaanderen | 97.9 | +19.1 pts |
| 61 | Overijssel | 97.3 | +17.4 pts |
| 62 | Düsseldorf | 95.5 | +6.9 pts |
| 63 | Prov. West-Vlaanderen | 95.4 | +12.8 pts |
| 64 | Budapest | 95.3 | +19 pts |
| 65 | Dél-Dunántúl | 95.2 | +15.3 pts |
| 66 | Limburg (NL) | 95.2 | +17 pts |
| 67 | Gelderland | 95.1 | +17.3 pts |
| 68 | Opolskie | 95 | +43.5 pts |
| 69 | Berlin | 94.8 | +17.3 pts |
| 70 | Sud-Est | 94.7 | +9.8 pts |
| 71 | Bremen | 93.8 | +15.3 pts |
| 72 | Castile and León | 93.2 | +12 pts |
| 73 | Dytiki Makedonia | 92.8 | +27.9 pts |
| 74 | Prov. Vlaams-Brabant | 92.8 | +14 pts |
| 75 | Noord-Brabant | 92.1 | +16.5 pts |
| 76 | Münster | 91.6 | +4.8 pts |
| 77 | Severozápad | 91.5 | +11.3 pts |
| 78 | Centru | 91 | +15.7 pts |
| 79 | Catalonia | 90.3 | +9 pts |
| 80 | Aragon | 90 | +9.5 pts |
| 81 | Wielkopolskie | 89.1 | +14.2 pts |
| 82 | Weser-Ems | 88.9 | +14.4 pts |
| 83 | Moravskoslezsko | 88.2 | -4 pts |
| 84 | Zachodniopomorskie | 88.2 | +19.5 pts |
| 85 | Valle d’Aosta/Vallée d’Aoste | 88 | +16.8 pts |
| 86 | Schleswig-Holstein | 87.7 | +14 pts |
| 87 | Dolnośląskie | 87.1 | +12.5 pts |
| 88 | Ipeiros | 87 | +9.3 pts |
| 88 | Severovýchod | 87 | +20.9 pts |
| 90 | Köln | 86.4 | +3.8 pts |
| 91 | Groningen | 86.2 | +9 pts |
| 92 | Drenthe | 85.7 | +15.1 pts |
| 93 | Warmińsko-mazurskie | 85.6 | +7.4 pts |
| 94 | Thüringen | 85.3 | +13.6 pts |
| 95 | Bratislavský kraj | 84.7 | +19.2 pts |
| 96 | Flevoland | 84.1 | +18.8 pts |
| 97 | Navarre | 84.1 | +2.3 pts |
| 98 | Közép-Dunántúl | 83.3 | +13.5 pts |
| 99 | Noord-Holland | 83.2 | +14.6 pts |
| 100 | Dél-Alföld | 83.2 | +19.6 pts |
| 101 | Nord-Vest | 83.1 | +8.4 pts |
| 102 | Lorraine | 82.9 | +17.6 pts |
| 103 | Střední Morava | 82.5 | +11.8 pts |
| 104 | Nord-Pas de Calais | 82.1 | +14.2 pts |
| 105 | Střední Čechy | 81.5 | +10.7 pts |
| 106 | Vzhodna Slovenija | 81.4 | +6.4 pts |
| 107 | Sud-Muntenia | 81 | +3.8 pts |
| 108 | Detmold | 81 | +3.4 pts |
| 109 | Západné Slovensko | 80.8 | +13.7 pts |
| 110 | Luxembourg | 80.6 | +18 pts |
| 111 | Oberfranken | 80.5 | +11 pts |
| 112 | Lüneburg | 80.1 | +12.4 pts |
| 113 | Oberpfalz | 80.1 | +15.5 pts |
| 114 | Praha | 79.5 | +19.7 pts |
| 115 | Gießen | 79.5 | +15.1 pts |
| 116 | Basque Country | 79.5 | +8.1 pts |
| 117 | Podlaskie | 79.4 | +6.3 pts |
| 118 | Picardie | 79.2 | +14.7 pts |
| 119 | Braunschweig | 79 | +9.8 pts |
| 120 | Hannover | 78.9 | +7.8 pts |
| 121 | Mittelfranken | 78.7 | +10.1 pts |
| 122 | Kassel | 78.5 | +13 pts |
| 123 | Niederbayern | 78.4 | +10.7 pts |
| 124 | Darmstadt | 78.3 | +16.7 pts |
| 125 | Jihovýchod | 77 | +18.4 pts |
| 126 | Koblenz | 76.8 | +11.3 pts |
| 127 | Friesland (NL) | 76.6 | +6.9 pts |
| 128 | Brandenburg | 76.5 | +8.9 pts |
| 129 | Mellersta Norrland | 76.2 | +18.7 pts |
| 130 | Övre Norrland | 75.5 | +16.9 pts |
| 131 | Sud-Vest Oltenia | 74.8 | +4.4 pts |
| 132 | Trier | 73.9 | +8.3 pts |
| 133 | Piemonte | 73.8 | +10.9 pts |
| 134 | Unterfranken | 73.2 | +15.9 pts |
| 135 | Yugozapaden | 72.9 | +23.9 pts |
| 136 | Friuli-Venezia Giulia | 72.7 | +9.8 pts |
| 137 | Lubelskie | 72.4 | +6.7 pts |
| 138 | La Rioja | 72.1 | +0.7 pts |
| 139 | La Réunion | 71.5 | -2.3 pts |
| 140 | Rheinhessen-Pfalz | 71.3 | +12.3 pts |
| 141 | Bretagne | 70.8 | +11.5 pts |
| 142 | Zeeland | 70.4 | +18.5 pts |
| 143 | Saarland | 70.1 | +9.7 pts |
| 144 | Champagne-Ardenne | 70 | +16.7 pts |
| 145 | Provincia Autonoma di Bolzano/Bozen | 69.7 | +6.8 pts |
| 146 | Nyugat-Dunántúl | 69.5 | +2.5 pts |
| 147 | Norra Mellansverige | 68.8 | +7.2 pts |
| 148 | Emilia-Romagna | 68.6 | +11.1 pts |
| 149 | Puglia | 68.6 | +10.5 pts |
| 150 | Tübingen | 68.4 | +14.8 pts |
| 151 | Oberbayern | 68.2 | +8.6 pts |
| 152 | Basilicata | 67.5 | +7.9 pts |
| 153 | Campania | 66.9 | +7.4 pts |
| 154 | Freiburg | 66.6 | +14.1 pts |
| 155 | Lombardia | 66.4 | +9.3 pts |
| 156 | Västsverige | 66.3 | +9.7 pts |
| 157 | Lazio | 66.2 | +8.1 pts |
| 158 | Toscana | 66.2 | +10.1 pts |
| 159 | Karlsruhe | 66 | +8.9 pts |
| 159 | Sydsverige | 66 | +6.3 pts |
| 161 | Alsace | 66 | +9.5 pts |
| 162 | Schwaben | 65.9 | +6.3 pts |
| 163 | Kujawsko-pomorskie | 65.2 | +10.2 pts |
| 164 | Sicilia | 65 | +6.2 pts |
| 165 | Umbria | 64.6 | +9.4 pts |
| 166 | Mecklenburg-Vorpommern | 63.7 | +12.6 pts |
| 167 | Veneto | 63.4 | +10.2 pts |
| 168 | Sardegna | 63.4 | +6.2 pts |
| 169 | Molise | 63.4 | +17.3 pts |
| 170 | Östra Mellansverige | 63.3 | +7 pts |
| 171 | Bucureşti-Ilfov | 62.7 | +3.2 pts |
| 172 | Tirol | 62.6 | +12.4 pts |
| 173 | Oberösterreich | 62.5 | +12.5 pts |
| 174 | Hamburg | 62.1 | +7.3 pts |
| 175 | Śląskie | 61.9 | +11.3 pts |
| 176 | Liguria | 61.7 | +7.2 pts |
| 177 | Marche | 61.2 | +6.4 pts |
| 178 | Franche-Comté | 61.2 | +10.1 pts |
| 179 | Limousin | 61.1 | +9.4 pts |
| 180 | Småland med öarna | 60.9 | +6.6 pts |
| 181 | Sachsen-Anhalt | 60.8 | +10.4 pts |
| 182 | Basse-Normandie | 60.6 | +11.9 pts |
| 182 | Provence-Alpes-Côte d’Azur | 60.6 | +9.5 pts |
| 184 | Stockholm | 60.2 | +3.4 pts |
| 185 | Zahodna Slovenija | 60.1 | +6.8 pts |
| 186 | Yugoiztochen | 60.1 | -10.7 pts |
| 187 | Åland | 59.5 | -13.4 pts |
| 188 | Severoiztochen | 59.3 | -3.3 pts |
| 189 | Calabria | 58.5 | +7.2 pts |
| 190 | Stuttgart | 58.3 | +11.4 pts |
| 191 | Languedoc-Roussillon | 58 | +5.3 pts |
| 192 | Abruzzo | 58 | +2.9 pts |
| 193 | Vorarlberg | 57.9 | +21.3 pts |
| 194 | Auvergne | 57.8 | +3.8 pts |
| 195 | Pays de la Loire | 57.6 | +12.6 pts |
| 196 | Mayotte | 57.4 | -7.4 pts |
| 197 | Aquitaine | 57 | +8.9 pts |
| 198 | Dresden | 56.4 | +10.5 pts |
| 199 | Haute-Normandie | 56.2 | +2.9 pts |
| 200 | Bourgogne | 56.1 | +9.1 pts |
| 200 | Kärnten | 56.1 | +9 pts |
| 202 | Poitou-Charentes | 55.6 | +10.7 pts |
| 203 | Leipzig | 55.3 | +6.5 pts |
| 204 | Centre - Val de Loire | 55.2 | +12.5 pts |
| 205 | Yuzhen tsentralen | 55 | +2.1 pts |
| 206 | Rhône-Alpes | 55 | +10.5 pts |
| 207 | Małopolskie | 54.8 | +6.2 pts |
| 208 | Midi-Pyrénées | 54.4 | +4.8 pts |
| 209 | Guyane | 54.3 | +6 pts |
| 210 | Jadranska Hrvatska | 53.2 | +8.1 pts |
| 211 | Salzburg | 52.9 | +5.3 pts |
| 212 | Niederösterreich | 52.2 | +7.4 pts |
| 213 | Burgenland | 52 | +19.2 pts |
| 214 | Ile-de-France | 51.8 | +5.8 pts |
| 215 | Severen tsentralen | 51.4 | -15.4 pts |
| 216 | Podkarpackie | 51.2 | +8.5 pts |
| 217 | Vidurio ir vakarų Lietuvos regionas | 50.6 | +6 pts |
| 218 | Wien | 50.4 | +3.6 pts |
| 219 | Lubuskie | 49.8 | +7.7 pts |
| 220 | Steiermark | 49.3 | +6.2 pts |
| 221 | Severozapaden | 49.1 | -8 pts |
| 222 | Provincia Autonoma di Trento | 48.2 | +1.2 pts |
| 223 | Chemnitz | 47.2 | +5.2 pts |
| 224 | Świętokrzyskie | 46.2 | +10.4 pts |
| 225 | Corse | 45.4 | -6.3 pts |
| 226 | Eesti | 42.9 | -0.6 pts |
| 227 | Martinique | 42 | +3.3 pts |
| 228 | Sostinės regionas | 37.7 | +5 pts |
| 229 | Helsinki-Uusimaa | 37.7 | -1 pts |
| 230 | Pohjois- ja Itä-Suomi | 37.3 | +5.4 pts |
| 231 | Latvija | 36.8 | +1 pts |
| 232 | Länsi-Suomi | 34.8 | +1 pts |
| 233 | Guadeloupe | 32.6 | -9.3 pts |
| 234 | Etelä-Suomi | 31.1 | +0.2 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 J00 to J99) per 100,000 inhabitants, age-standardised to the revised European Standard Population of 2013. Both sexes, all ages, by place of residence (Eurostat causes of death statistics).
COVID-19 is coded separately (U07) and is not included. Age standardisation removes the effect of different age structures, so EU countries and regions can be compared with each other. US age-adjusted rates use the 2000 US standard population and are not comparable with these. Death certification and cause coding differ between countries, and Eurostat flags some values as following a different definition. Eurostat publishes these rates about two and a half years after the reference year.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. 10 regions with data in other periods have no value for 2015 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2) (EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
MLA 9
Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2). EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Also distributed by Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015.
Harvard
Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2015,
author = {{Eurostat, European Commission}},
title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth\_cd\_asdr2): EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth\_cd\_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth\_cd\_asdr2/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2): EU regions (NUTS 2) by death rate from respiratory diseases (age-standardised), 2015
PY - 2026
DA - 2026/06/08
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
L2 - https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2015.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank EU regions by death rate from respiratory diseases (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_respiratory","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_respiratory&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest death rate from respiratory diseases (age-standardised)?
Região Autónoma da Madeira, with 304.4 per 100,000 people in 2015, according to Eurostat, European Commission.
Which region has the lowest death rate from respiratory diseases (age-standardised)?
Etelä-Suomi, with 31.1 per 100,000 people in 2015.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2). Retrieved 2026-10-12. 10 regions have no value for 2015 and are not ranked.