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 2019, at 235.6 per 100,000 people. Länsi-Suomi had the lowest, at 30.1 per 100,000 people. The median was 75.1 per 100,000 people and the figure for the European Union (27) was 75.5 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2019
Full ranking
| Rank | Regions | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Região Autónoma da Madeira | 235.6 | -58.4 pts |
| 2 | Região Autónoma dos Açores | 139.6 | -47.9 pts |
| 3 | Dytiki Elláda | 131.8 | +18.3 pts |
| 4 | Prov. Liège | 126.5 | -15.2 pts |
| 5 | Észak-Magyarország | 125.9 | +5.6 pts |
| 6 | Ionia Nisia | 124.9 | -3 pts |
| 7 | Prov. Hainaut | 123.4 | -18.1 pts |
| 8 | Nordjylland | 123.3 | -18.7 pts |
| 9 | Prov. Namur | 123.1 | +2 pts |
| 10 | Peloponnisos | 118.9 | +2.1 pts |
| 11 | Canary Islands | 118.8 | -9.8 pts |
| 12 | Southern | 118.6 | -10.2 pts |
| 13 | Sjælland | 117.7 | -17 pts |
| 14 | Eastern and Midland | 117.5 | -11.3 pts |
| 15 | Centru | 116.8 | +3 pts |
| 16 | Prov. Limburg (BE) | 116.6 | -0.2 pts |
| 17 | Hovedstaden | 116.4 | -17.7 pts |
| 18 | Norte | 113.6 | -7.9 pts |
| 19 | Malta | 113.4 | +12.1 pts |
| 20 | Syddanmark | 112.3 | -13.9 pts |
| 21 | Extremadura | 109.3 | -4.1 pts |
| 22 | Melilla | 108.2 | -10 pts |
| 23 | Northern and Western | 108 | -9.3 pts |
| 24 | Prov. Luxembourg (BE) | 107.8 | -28.2 pts |
| 25 | Észak-Alföld | 107.6 | +7.5 pts |
| 26 | Kriti | 107.3 | +2.8 pts |
| 27 | Kýpros | 107 | +13 pts |
| 28 | Warmińsko-mazurskie | 106.9 | -0.1 pts |
| 29 | Attiki | 106.1 | +3.8 pts |
| 30 | Region of Murcia | 104.3 | -19.2 pts |
| 31 | Vest | 104 | -3.9 pts |
| 32 | Łódzkie | 103.9 | -1.1 pts |
| 33 | Sud-Est | 103 | +10.4 pts |
| 34 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 102.3 | -10.5 pts |
| 35 | Severozápad | 101.4 | +4.3 pts |
| 36 | Ceuta | 101.1 | +2.8 pts |
| 37 | Castilla-La Mancha | 100.8 | -12.5 pts |
| 38 | Nord-Est | 99.7 | -7.8 pts |
| 39 | Midtjylland | 99.5 | -12.7 pts |
| 40 | Algarve | 99.4 | -30.4 pts |
| 41 | Warszawski stołeczny | 99.4 | -8.7 pts |
| 42 | Notio Aigaio | 98.6 | +10.2 pts |
| 43 | Moravskoslezsko | 97.7 | +2 pts |
| 43 | Prov. Brabant wallon | 97.7 | -6.2 pts |
| 45 | Thessalia | 96.9 | +4 pts |
| 46 | Pomorskie | 96.6 | -10.3 pts |
| 47 | Andalusia | 95.7 | -15.3 pts |
| 48 | Sterea Elláda | 94.8 | +8 pts |
| 49 | Podlaskie | 93.5 | +2.9 pts |
| 50 | Nord-Vest | 93.4 | -5.1 pts |
| 51 | Community of Madrid | 93.1 | -7.5 pts |
| 52 | Prov. Antwerpen | 92.4 | -8.3 pts |
| 53 | Prov. Oost-Vlaanderen | 92.2 | -8.7 pts |
| 54 | Dél-Dunántúl | 91.8 | +7.1 pts |
| 54 | Dolnośląskie | 91.8 | +3 pts |
| 56 | Sud-Muntenia | 91.7 | +6.9 pts |
| 57 | Prov. West-Vlaanderen | 91.5 | -6.7 pts |
| 58 | Jihozápad | 90.7 | -5 pts |
| 59 | Pest | 89.7 | -6.4 pts |
| 60 | Mayotte | 89.7 | +29.6 pts |
| 61 | Limburg (NL) | 88.1 | -9.2 pts |
| 62 | Weser-Ems | 88.1 | -9.8 pts |
| 63 | Střední Čechy | 87.9 | +3 pts |
| 64 | Kujawsko-pomorskie | 87.2 | -4 pts |
| 65 | Severovýchod | 86.9 | -5 pts |
| 66 | Anatoliki Makedonia, Thraki | 86.7 | -4.6 pts |
| 67 | Groningen | 86.7 | -3.1 pts |
| 68 | Asturias | 86.5 | -12.3 pts |
| 69 | Prov. Vlaams-Brabant | 86.4 | -8.5 pts |
| 70 | Wielkopolskie | 86 | -9.6 pts |
| 71 | Zachodniopomorskie | 85.6 | -14.9 pts |
| 72 | Valencian Community | 85.5 | -22.1 pts |
| 73 | Bucureşti-Ilfov | 85.5 | +11.7 pts |
| 74 | Gelderland | 85.2 | -8.5 pts |
| 75 | Voreio Aigaio | 85.2 | -10.9 pts |
| 76 | Kassel | 85 | -2.7 pts |
| 77 | Severozapaden | 85 | +4 pts |
| 78 | Stredné Slovensko | 84.7 | -8.5 pts |
| 79 | Overijssel | 84.5 | -18.8 pts |
| 80 | Kentriki Makedonia | 84.4 | -4.2 pts |
| 81 | Luxembourg | 84.2 | -1.9 pts |
| 82 | Východné Slovensko | 84 | -9.1 pts |
| 83 | Mazowiecki regionalny | 83.7 | -15.7 pts |
| 84 | Jihovýchod | 82.8 | -2.1 pts |
| 85 | Castile and León | 81.6 | -10.9 pts |
| 86 | Sud-Vest Oltenia | 81.5 | +0.2 pts |
| 87 | Galicia | 81.4 | -19 pts |
| 88 | Arnsberg | 81 | -8 pts |
| 89 | Dytiki Makedonia | 80.8 | +22.1 pts |
| 90 | Noord-Brabant | 80 | -16.4 pts |
| 91 | Catalonia | 79.9 | -14.6 pts |
| 92 | Bremen | 79.9 | -23.2 pts |
| 93 | Střední Morava | 79.8 | -11.2 pts |
| 94 | Małopolskie | 79.6 | +4 pts |
| 95 | Hannover | 79.4 | -4.4 pts |
| 96 | Budapest | 78.8 | -5.2 pts |
| 97 | Közép-Dunántúl | 78.4 | +4.9 pts |
| 98 | Münster | 77.9 | -9.2 pts |
| 99 | Oberfranken | 77.7 | -12.5 pts |
| 100 | Berlin | 77.4 | -9 pts |
| 101 | Dél-Alföld | 76.7 | +1.1 pts |
| 102 | Gießen | 76.5 | -7.7 pts |
| 103 | Oberpfalz | 76.3 | -7.6 pts |
| 104 | Západné Slovensko | 76.3 | -7.3 pts |
| 105 | Campania | 76.1 | +2.8 pts |
| 106 | Ipeiros | 76.1 | +0.9 pts |
| 107 | Valle d’Aosta/Vallée d’Aoste | 76 | +13.7 pts |
| 108 | Noord-Holland | 75.9 | -8.9 pts |
| 109 | Schleswig-Holstein | 75.8 | -12.8 pts |
| 110 | Darmstadt | 75.8 | -2.3 pts |
| 111 | Düsseldorf | 75.6 | -7.1 pts |
| 112 | Aragon | 75.6 | -12.1 pts |
| 113 | Lüneburg | 75.4 | -8.5 pts |
| 114 | Nord-Pas de Calais | 75.3 | -4.3 pts |
| 115 | Wien | 75.3 | -1 pts |
| 116 | Braunschweig | 75.3 | -5.2 pts |
| 117 | Koblenz | 75.1 | -10.8 pts |
| 118 | Mittelfranken | 75.1 | -6.2 pts |
| 119 | Thüringen | 74.8 | -4.5 pts |
| 120 | Sicilia | 74.5 | +1.8 pts |
| 121 | Lorraine | 74 | -5.3 pts |
| 122 | Lazio | 73.9 | +4.7 pts |
| 123 | Detmold | 73.8 | -6.2 pts |
| 124 | Basilicata | 73.7 | +4.3 pts |
| 124 | Köln | 73.7 | -4.7 pts |
| 126 | La Rioja | 73.4 | -12 pts |
| 127 | Balearic Islands | 73.4 | -15.5 pts |
| 128 | Opolskie | 73 | +10.9 pts |
| 129 | Basque Country | 72.9 | -7.2 pts |
| 130 | Rheinhessen-Pfalz | 72.5 | -2.4 pts |
| 131 | Niederbayern | 72.4 | -8.4 pts |
| 132 | Friesland (NL) | 71.9 | -21.8 pts |
| 133 | Piemonte | 71.6 | -4.8 pts |
| 134 | Friuli-Venezia Giulia | 71.6 | +3.2 pts |
| 135 | Podkarpackie | 71.4 | +0.4 pts |
| 136 | Cantabria | 71 | -29.7 pts |
| 137 | Drenthe | 70.9 | -20.4 pts |
| 138 | Severoiztochen | 70.7 | +11.3 pts |
| 139 | Picardie | 70.3 | -5.3 pts |
| 140 | Flevoland | 70 | -20.4 pts |
| 141 | Praha | 69.1 | -10.5 pts |
| 142 | La Réunion | 69 | -2.7 pts |
| 143 | Lubuskie | 68.5 | -8.2 pts |
| 144 | Puglia | 67.9 | -0.1 pts |
| 145 | Schwaben | 67.8 | +1 pts |
| 146 | Yugozapaden | 67.7 | -43.1 pts |
| 147 | Mecklenburg-Vorpommern | 67.6 | -0.5 pts |
| 148 | Hamburg | 67.4 | -2.6 pts |
| 149 | Emilia-Romagna | 67.3 | +2 pts |
| 150 | Calabria | 66.3 | +4.4 pts |
| 151 | Navarre | 65.8 | -19.2 pts |
| 152 | Karlsruhe | 65.6 | -7.7 pts |
| 153 | Umbria | 65.5 | +4.4 pts |
| 154 | Liguria | 65.3 | -0.6 pts |
| 155 | Nyugat-Dunántúl | 65 | -2.6 pts |
| 156 | Alsace | 64.9 | -0.2 pts |
| 157 | Molise | 64.5 | +4.4 pts |
| 158 | Toscana | 64.4 | -0.8 pts |
| 159 | Brandenburg | 64.2 | -7 pts |
| 160 | Zeeland | 64.2 | -10.9 pts |
| 161 | Lombardia | 63.6 | -1.6 pts |
| 162 | Oberösterreich | 63.4 | -6.4 pts |
| 163 | Trier | 63.2 | -11.6 pts |
| 164 | Franche-Comté | 63 | -0.1 pts |
| 165 | Mellersta Norrland | 63 | -4.6 pts |
| 166 | Oberbayern | 62.8 | -1.4 pts |
| 167 | Śląskie | 62.7 | -0.6 pts |
| 168 | Marche | 62.6 | +1.9 pts |
| 169 | Unterfranken | 62.4 | -7.2 pts |
| 170 | Sydsverige | 62.4 | -9.2 pts |
| 171 | Saarland | 62.1 | -7.3 pts |
| 172 | Norra Mellansverige | 62 | -4.2 pts |
| 173 | Champagne-Ardenne | 61.9 | -4.2 pts |
| 174 | Abruzzo | 60.8 | -2.2 pts |
| 175 | Haute-Normandie | 60.6 | -0.2 pts |
| 176 | Småland med öarna | 60.6 | -10.5 pts |
| 177 | Provence-Alpes-Côte d’Azur | 60.5 | +1.5 pts |
| 178 | Freiburg | 60.4 | -7 pts |
| 179 | Leipzig | 60.4 | -12 pts |
| 180 | Kärnten | 60.3 | -5 pts |
| 181 | Bretagne | 60.2 | -4.4 pts |
| 182 | Västsverige | 60.1 | -6.6 pts |
| 183 | Veneto | 59.9 | +1.1 pts |
| 184 | Övre Norrland | 59.7 | -11.8 pts |
| 185 | Stuttgart | 59.5 | -6.2 pts |
| 186 | Provincia Autonoma di Bolzano/Bozen | 59.4 | -0.7 pts |
| 187 | Vzhodna Slovenija | 59.3 | -5.3 pts |
| 188 | Auvergne | 59.3 | +1.8 pts |
| 189 | Yugoiztochen | 59 | +3.1 pts |
| 190 | Östra Mellansverige | 58.9 | -13.7 pts |
| 191 | Basse-Normandie | 58.7 | +0.4 pts |
| 192 | Sardegna | 58.7 | +0.3 pts |
| 193 | Tirol | 58.4 | +4.4 pts |
| 194 | Niederösterreich | 58 | +0.1 pts |
| 195 | Tübingen | 57.4 | -11.4 pts |
| 196 | Poitou-Charentes | 57.3 | -0.5 pts |
| 197 | Bratislavský kraj | 57.2 | -12 pts |
| 198 | Limousin | 56 | +1.5 pts |
| 199 | Bourgogne | 55.7 | +0.8 pts |
| 200 | Languedoc-Roussillon | 55.5 | -2.8 pts |
| 201 | Sachsen-Anhalt | 54.8 | -10.7 pts |
| 202 | Severen tsentralen | 54.3 | +2.7 pts |
| 203 | Aquitaine | 53.7 | -1.9 pts |
| 204 | Salzburg | 53.1 | -6.2 pts |
| 205 | Chemnitz | 52.9 | -4.4 pts |
| 206 | Midi-Pyrénées | 52.8 | -1.5 pts |
| 207 | Stockholm | 52.4 | -11.5 pts |
| 208 | Centre - Val de Loire | 52.4 | -1.9 pts |
| 209 | Pays de la Loire | 52.4 | -2 pts |
| 210 | Rhône-Alpes | 52.2 | -2 pts |
| 211 | Dresden | 51.2 | -3.5 pts |
| 212 | Vorarlberg | 50.8 | -17.9 pts |
| 213 | Ile-de-France | 50.7 | -1 pts |
| 214 | Provincia Autonoma di Trento | 49.6 | -1.4 pts |
| 215 | Steiermark | 49 | -8.2 pts |
| 216 | Guyane | 48.8 | +11.4 pts |
| 217 | Lubelskie | 48.2 | -3.5 pts |
| 218 | Corse | 47.4 | -0.4 pts |
| 219 | Świętokrzyskie | 46.6 | +0.8 pts |
| 220 | Jadranska Hrvatska | 44.9 | -1.7 pts |
| 221 | Zahodna Slovenija | 44.7 | +1.7 pts |
| 222 | Martinique | 44.2 | +4.3 pts |
| 223 | Eesti | 43.8 | -4.9 pts |
| 224 | Burgenland | 43.1 | -15 pts |
| 225 | Vidurio ir vakarų Lietuvos regionas | 42.8 | -5.9 pts |
| 226 | Guadeloupe | 39.7 | +11.7 pts |
| 227 | Latvija | 39.2 | -7.6 pts |
| 228 | Helsinki-Uusimaa | 37.5 | +2.3 pts |
| 229 | Åland | 37 | -47.6 pts |
| 230 | Sostinės regionas | 36.1 | -10.5 pts |
| 231 | Pohjois- ja Itä-Suomi | 33.8 | -5 pts |
| 232 | Yuzhen tsentralen | 32.1 | -4.9 pts |
| 233 | Etelä-Suomi | 30.7 | -8.8 pts |
| 234 | Länsi-Suomi | 30.1 | -8.7 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 2019 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), 2019) [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), 2019. 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=2019. 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), 2019. 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=2019.
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), 2019 [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=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2019,
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), 2019}},
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=2019. 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), 2019
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=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2019.
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 235.6 per 100,000 people in 2019, according to Eurostat, European Commission.
Which region has the lowest death rate from respiratory diseases (age-standardised)?
Länsi-Suomi, with 30.1 per 100,000 people in 2019.
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 2019 and are not ranked.