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 2014, at 288.9 per 100,000 people. Etelä-Suomi had the lowest, at 30.9 per 100,000 people. The median was 67.1 per 100,000 people and the figure for the European Union (27) was 71.1 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2014
Full ranking
| Rank | Regions | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Região Autónoma da Madeira | 288.9 | +15.2 pts |
| 2 | Região Autónoma dos Açores | 215.8 | +4.6 pts |
| 3 | Northern and Western | 128.5 | -2.7 pts |
| 4 | Southern | 127.4 | -9 pts |
| 5 | Eastern and Midland | 122.8 | -15.1 pts |
| 6 | Nordjylland | 122.6 | -20.2 pts |
| 7 | Prov. Hainaut | 121.6 | -17.7 pts |
| 8 | Kriti | 119.6 | +11.8 pts |
| 9 | Attiki | 119.2 | +11.6 pts |
| 10 | Hovedstaden | 118.6 | -7.7 pts |
| 11 | Prov. Liège | 118.2 | -17.3 pts |
| 12 | Ionia Nisia | 116 | +7.4 pts |
| 13 | Dytiki Elláda | 114.7 | +18.6 pts |
| 14 | Syddanmark | 113.3 | -20.3 pts |
| 15 | Prov. Namur | 112.8 | -22.6 pts |
| 16 | Algarve | 112.4 | -5.4 pts |
| 17 | Melilla | 112.1 | +32 pts |
| 18 | Sjælland | 111.7 | -18.6 pts |
| 19 | Norte | 111.3 | -10.9 pts |
| 20 | Peloponnisos | 111 | +14 pts |
| 21 | Notio Aigaio | 110.4 | +21.4 pts |
| 22 | Region of Murcia | 109.6 | -7.5 pts |
| 23 | Észak-Magyarország | 109.3 | -0.1 pts |
| 24 | Midtjylland | 107.6 | -10.8 pts |
| 25 | Canary Islands | 106.2 | -1.1 pts |
| 26 | Voreio Aigaio | 106 | +15.2 pts |
| 27 | Castilla-La Mancha | 102.7 | +5.5 pts |
| 28 | Community of Madrid | 102.5 | -4.7 pts |
| 29 | Prov. Luxembourg (BE) | 101.4 | -33.8 pts |
| 30 | Cantabria | 101.1 | +11.6 pts |
| 31 | Warszawski stołeczny | 100 | -6 pts |
| 32 | Extremadura | 98.1 | -20.6 pts |
| 33 | Andalusia | 97.1 | -6 pts |
| 34 | Thessalia | 96.8 | +7.8 pts |
| 35 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 95.3 | -12.6 pts |
| 36 | Pomorskie | 94.6 | -15.6 pts |
| 37 | Malta | 93.6 | -23 pts |
| 38 | Kentriki Makedonia | 93.4 | +8.4 pts |
| 39 | Ceuta | 93.1 | -22 pts |
| 40 | Vest | 92.9 | +3.3 pts |
| 41 | Moravskoslezsko | 92.1 | -6.8 pts |
| 42 | Sterea Elláda | 92.1 | +9.2 pts |
| 43 | Prov. Brabant wallon | 92 | -9.9 pts |
| 44 | Prov. Limburg (BE) | 91.6 | -19.2 pts |
| 45 | Arnsberg | 91.2 | -15.5 pts |
| 46 | Jihozápad | 90.2 | -2.1 pts |
| 47 | Asturias | 89.8 | +1.9 pts |
| 48 | Düsseldorf | 88.6 | -10.2 pts |
| 49 | Prov. Antwerpen | 86.8 | -7.9 pts |
| 50 | Münster | 86.8 | -9.8 pts |
| 51 | Anatoliki Makedonia, Thraki | 86.4 | -3.5 pts |
| 52 | Valencian Community | 86.4 | -5.4 pts |
| 53 | Balearic Islands | 86.2 | -2.5 pts |
| 54 | Mazowiecki regionalny | 85.6 | -15 pts |
| 55 | Sud-Est | 84.9 | +0.8 pts |
| 56 | Kýpros | 84.6 | -1.2 pts |
| 57 | Galicia | 83.7 | -2.8 pts |
| 58 | Prov. West-Vlaanderen | 82.6 | -17.5 pts |
| 59 | Köln | 82.6 | -13.2 pts |
| 60 | Észak-Alföld | 82.6 | -11.1 pts |
| 61 | Nord-Est | 82.4 | -3.8 pts |
| 62 | Łódzkie | 81.9 | -13.3 pts |
| 63 | Navarre | 81.8 | +2.2 pts |
| 64 | Catalonia | 81.3 | -2.7 pts |
| 65 | Castile and León | 81.3 | 0 pts |
| 66 | Aragon | 80.5 | +3.9 pts |
| 67 | Severozápad | 80.3 | -9.6 pts |
| 68 | Dél-Dunántúl | 80 | -13.5 pts |
| 69 | Overijssel | 79.9 | -25.2 pts |
| 70 | Stredné Slovensko | 79.8 | -11.8 pts |
| 71 | Prov. Oost-Vlaanderen | 78.8 | -26.1 pts |
| 72 | Prov. Vlaams-Brabant | 78.8 | -8.9 pts |
| 73 | Bremen | 78.6 | -22 pts |
| 74 | Východné Slovensko | 78.5 | -1.3 pts |
| 75 | Limburg (NL) | 78.2 | -29.2 pts |
| 76 | Warmińsko-mazurskie | 78.2 | -21.3 pts |
| 77 | Gelderland | 77.8 | -16.3 pts |
| 78 | Ipeiros | 77.7 | +4.5 pts |
| 79 | Detmold | 77.5 | -8.6 pts |
| 80 | Berlin | 77.5 | -9.4 pts |
| 81 | Sud-Muntenia | 77.3 | +3.9 pts |
| 82 | Groningen | 77.2 | -14.8 pts |
| 83 | Budapest | 76.3 | -1 pts |
| 84 | Noord-Brabant | 75.7 | -21.7 pts |
| 85 | Centru | 75.3 | -1.3 pts |
| 86 | Vzhodna Slovenija | 75.1 | -19.8 pts |
| 87 | Wielkopolskie | 74.9 | -13.4 pts |
| 88 | Nord-Vest | 74.7 | +3 pts |
| 89 | Dolnośląskie | 74.6 | -1 pts |
| 90 | Weser-Ems | 74.6 | -17.5 pts |
| 91 | La Réunion | 73.8 | -2.8 pts |
| 92 | Schleswig-Holstein | 73.8 | -26.8 pts |
| 93 | Podlaskie | 73.1 | -11.6 pts |
| 94 | Åland | 72.8 | -9.2 pts |
| 95 | Thüringen | 71.7 | -6.3 pts |
| 96 | La Rioja | 71.5 | +0.6 pts |
| 97 | Basque Country | 71.4 | -5.7 pts |
| 98 | Valle d’Aosta/Vallée d’Aoste | 71.2 | -15.3 pts |
| 99 | Hannover | 71.1 | -7.9 pts |
| 100 | Střední Čechy | 70.8 | -9.6 pts |
| 101 | Yugoiztochen | 70.8 | +10 pts |
| 102 | Střední Morava | 70.7 | -10.5 pts |
| 103 | Drenthe | 70.6 | -17.6 pts |
| 104 | Sud-Vest Oltenia | 70.4 | +6.1 pts |
| 105 | Pest | 70.3 | -15.2 pts |
| 106 | Közép-Dunántúl | 69.7 | +0.3 pts |
| 107 | Friesland (NL) | 69.7 | -27.9 pts |
| 108 | Oberfranken | 69.5 | -11.4 pts |
| 109 | Braunschweig | 69.3 | -13.1 pts |
| 110 | Zachodniopomorskie | 68.7 | -10.2 pts |
| 111 | Mittelfranken | 68.6 | -3.2 pts |
| 112 | Noord-Holland | 68.6 | -12.6 pts |
| 113 | Nord-Pas de Calais | 67.9 | -13.9 pts |
| 114 | Lüneburg | 67.7 | -16.8 pts |
| 115 | Niederbayern | 67.7 | -1.8 pts |
| 116 | Brandenburg | 67.7 | -18.4 pts |
| 117 | Západné Slovensko | 67.1 | -16.9 pts |
| 118 | Nyugat-Dunántúl | 67 | -1.7 pts |
| 119 | Severen tsentralen | 66.7 | +16.5 pts |
| 120 | Severovýchod | 66.1 | -24.1 pts |
| 121 | Lubelskie | 65.7 | -4.8 pts |
| 122 | Trier | 65.5 | -1.8 pts |
| 123 | Bratislavský kraj | 65.5 | -34.9 pts |
| 124 | Koblenz | 65.5 | -9.3 pts |
| 125 | Kassel | 65.4 | -14.9 pts |
| 126 | Lorraine | 65.3 | -7.1 pts |
| 127 | Flevoland | 65.3 | -29.8 pts |
| 128 | Dytiki Makedonia | 65 | -7.9 pts |
| 129 | Mayotte | 64.8 | |
| 130 | Picardie | 64.5 | -5.6 pts |
| 131 | Oberpfalz | 64.5 | -11.1 pts |
| 132 | Gießen | 64.4 | -11.9 pts |
| 133 | Dél-Alföld | 63.7 | +1.4 pts |
| 134 | Provincia Autonoma di Bolzano/Bozen | 62.9 | +1.2 pts |
| 135 | Piemonte | 62.9 | -6.1 pts |
| 136 | Friuli-Venezia Giulia | 62.8 | -4.6 pts |
| 137 | Luxembourg | 62.6 | -11.6 pts |
| 138 | Severoiztochen | 62.5 | +10.2 pts |
| 139 | Norra Mellansverige | 61.7 | -0.3 pts |
| 140 | Darmstadt | 61.6 | -11.5 pts |
| 141 | Saarland | 60.4 | -7 pts |
| 142 | Praha | 59.9 | -12.2 pts |
| 143 | Basilicata | 59.6 | -8.2 pts |
| 144 | Oberbayern | 59.6 | -2.8 pts |
| 144 | Sydsverige | 59.6 | -10.8 pts |
| 146 | Schwaben | 59.6 | -8.6 pts |
| 147 | Bucureşti-Ilfov | 59.5 | -4.6 pts |
| 148 | Campania | 59.5 | -6 pts |
| 149 | Bretagne | 59.3 | -4.7 pts |
| 150 | Rheinhessen-Pfalz | 59 | -9.1 pts |
| 151 | Sicilia | 58.7 | +0.1 pts |
| 152 | Övre Norrland | 58.6 | -3.4 pts |
| 153 | Jihovýchod | 58.6 | -8.3 pts |
| 154 | Lazio | 58.1 | -1.5 pts |
| 155 | Puglia | 58.1 | -0.8 pts |
| 156 | Emilia-Romagna | 57.5 | -3.6 pts |
| 157 | Mellersta Norrland | 57.4 | -10.5 pts |
| 158 | Unterfranken | 57.3 | -8.7 pts |
| 159 | Lombardia | 57.2 | -4.2 pts |
| 160 | Sardegna | 57.2 | +1.4 pts |
| 161 | Karlsruhe | 57.1 | -9.4 pts |
| 162 | Severozapaden | 57.1 | +0.1 pts |
| 163 | Stockholm | 56.9 | -2.8 pts |
| 164 | Västsverige | 56.6 | -10.2 pts |
| 165 | Alsace | 56.4 | -6.7 pts |
| 166 | Östra Mellansverige | 56.3 | -5.8 pts |
| 167 | Toscana | 56.1 | -3.9 pts |
| 168 | Umbria | 55.2 | -4.7 pts |
| 169 | Abruzzo | 55.2 | -3.9 pts |
| 170 | Kujawsko-pomorskie | 55 | -27.7 pts |
| 171 | Hamburg | 54.8 | -11.6 pts |
| 172 | Marche | 54.8 | -3.2 pts |
| 173 | Liguria | 54.5 | -7.4 pts |
| 174 | Småland med öarna | 54.3 | -13.2 pts |
| 175 | Auvergne | 54 | -3.4 pts |
| 176 | Tübingen | 53.6 | -2.2 pts |
| 177 | Zahodna Slovenija | 53.3 | -14.8 pts |
| 178 | Haute-Normandie | 53.3 | -4.9 pts |
| 179 | Champagne-Ardenne | 53.2 | -8.2 pts |
| 180 | Veneto | 53.2 | -4.9 pts |
| 181 | Yuzhen tsentralen | 52.9 | +2.3 pts |
| 182 | Languedoc-Roussillon | 52.7 | -3.6 pts |
| 183 | Freiburg | 52.5 | -10.7 pts |
| 184 | Zeeland | 51.9 | -17.5 pts |
| 185 | Corse | 51.7 | -2.7 pts |
| 185 | Limousin | 51.7 | -0.1 pts |
| 187 | Opolskie | 51.5 | -11.6 pts |
| 188 | Calabria | 51.2 | -2.9 pts |
| 189 | Provence-Alpes-Côte d’Azur | 51.1 | -7.4 pts |
| 190 | Mecklenburg-Vorpommern | 51.1 | -19.2 pts |
| 191 | Franche-Comté | 51 | -4.5 pts |
| 192 | Śląskie | 50.5 | -11 pts |
| 193 | Sachsen-Anhalt | 50.5 | -11.3 pts |
| 194 | Tirol | 50.2 | -4.6 pts |
| 195 | Oberösterreich | 49.9 | -4 pts |
| 196 | Midi-Pyrénées | 49.6 | -1 pts |
| 197 | Yugozapaden | 49 | -4.6 pts |
| 198 | Leipzig | 48.9 | -7.7 pts |
| 199 | Basse-Normandie | 48.7 | -11 pts |
| 200 | Małopolskie | 48.6 | -9.6 pts |
| 201 | Guyane | 48.3 | +3.6 pts |
| 202 | Aquitaine | 48.1 | -5.5 pts |
| 203 | Salzburg | 47.5 | -0.7 pts |
| 204 | Kärnten | 47.1 | -5.9 pts |
| 205 | Provincia Autonoma di Trento | 47 | -8.2 pts |
| 206 | Bourgogne | 46.9 | -10.5 pts |
| 207 | Stuttgart | 46.9 | -4.3 pts |
| 208 | Wien | 46.8 | -3.2 pts |
| 209 | Molise | 46 | -6.3 pts |
| 210 | Ile-de-France | 46 | -4.4 pts |
| 211 | Dresden | 45.9 | -14.3 pts |
| 212 | Jadranska Hrvatska | 45.2 | +1.8 pts |
| 213 | Pays de la Loire | 45 | -6.5 pts |
| 214 | Poitou-Charentes | 44.9 | -11.3 pts |
| 215 | Niederösterreich | 44.8 | -13.2 pts |
| 216 | Vidurio ir vakarų Lietuvos regionas | 44.6 | -11.5 pts |
| 217 | Rhône-Alpes | 44.5 | -7.7 pts |
| 218 | Eesti | 43.5 | +0.2 pts |
| 219 | Steiermark | 43.1 | +0.3 pts |
| 220 | Centre - Val de Loire | 42.7 | -8.8 pts |
| 221 | Podkarpackie | 42.6 | -6.3 pts |
| 222 | Lubuskie | 42.2 | -35.7 pts |
| 223 | Chemnitz | 41.9 | -11.9 pts |
| 224 | Guadeloupe | 41.9 | +8.8 pts |
| 225 | Martinique | 38.7 | +1.6 pts |
| 226 | Helsinki-Uusimaa | 38.6 | +1.9 pts |
| 227 | Vorarlberg | 36.6 | -4.1 pts |
| 228 | Latvija | 35.8 | -7.6 pts |
| 229 | Świętokrzyskie | 35.8 | -21.8 pts |
| 230 | Länsi-Suomi | 33.8 | -7.2 pts |
| 231 | Burgenland | 32.8 | -9.4 pts |
| 232 | Sostinės regionas | 32.7 | -7.1 pts |
| 233 | Pohjois- ja Itä-Suomi | 31.9 | -3.2 pts |
| 234 | Etelä-Suomi | 30.9 | -1.7 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 2014 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), 2014) [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), 2014. 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=2014. 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), 2014. 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=2014.
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), 2014 [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=2014 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2014,
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), 2014}},
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=2014. 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), 2014
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=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2014.
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 288.9 per 100,000 people in 2014, according to Eurostat, European Commission.
Which region has the lowest death rate from respiratory diseases (age-standardised)?
Etelä-Suomi, with 30.9 per 100,000 people in 2014.
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 2014 and are not ranked.