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 233 regions in 2013, at 273.7 per 100,000 people. Etelä-Suomi had the lowest, at 32.7 per 100,000 people. The median was 74.7 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, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Região Autónoma da Madeira | 273.7 | +1.8 pts |
| 2 | Região Autónoma dos Açores | 211.1 | +22.9 pts |
| 3 | Nordjylland | 142.8 | +7.8 pts |
| 4 | Prov. Hainaut | 139.3 | +10.1 pts |
| 5 | Eastern and Midland | 137.9 | |
| 6 | Southern | 136.4 | |
| 7 | Prov. Liège | 135.5 | +2.6 pts |
| 8 | Prov. Namur | 135.4 | +9.5 pts |
| 9 | Prov. Luxembourg (BE) | 135.2 | +20.3 pts |
| 10 | Syddanmark | 133.5 | +11.7 pts |
| 11 | Northern and Western | 131.2 | |
| 12 | Sjælland | 130.3 | +5.5 pts |
| 13 | Hovedstaden | 126.2 | -1.5 pts |
| 14 | Norte | 122.2 | -19.6 pts |
| 15 | Extremadura | 118.7 | -10.1 pts |
| 16 | Midtjylland | 118.4 | +2.2 pts |
| 17 | Algarve | 117.7 | -21.1 pts |
| 18 | Region of Murcia | 117.1 | -22.1 pts |
| 19 | Malta | 116.6 | +21 pts |
| 20 | Ceuta | 115.1 | +1.3 pts |
| 21 | Prov. Limburg (BE) | 110.8 | -8.8 pts |
| 22 | Pomorskie | 110.2 | +19.9 pts |
| 23 | Észak-Magyarország | 109.4 | +5.6 pts |
| 24 | Ionia Nisia | 108.6 | |
| 25 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 107.9 | -2 pts |
| 26 | Kriti | 107.8 | -14.7 pts |
| 27 | Attiki | 107.6 | -3 pts |
| 28 | Limburg (NL) | 107.3 | -17.5 pts |
| 29 | Canary Islands | 107.2 | +1.5 pts |
| 30 | Community of Madrid | 107.2 | -9.5 pts |
| 31 | Arnsberg | 106.7 | +8.6 pts |
| 32 | Warszawski stołeczny | 106 | |
| 33 | Overijssel | 105 | -15.9 pts |
| 34 | Prov. Oost-Vlaanderen | 105 | -2.5 pts |
| 35 | Andalusia | 103.1 | -17.2 pts |
| 36 | Prov. Brabant wallon | 101.9 | +10.3 pts |
| 37 | Mazowiecki regionalny | 100.6 | |
| 38 | Bremen | 100.6 | +20.7 pts |
| 39 | Schleswig-Holstein | 100.5 | +12.4 pts |
| 40 | Bratislavský kraj | 100.4 | +16.6 pts |
| 41 | Prov. West-Vlaanderen | 100.1 | +1.3 pts |
| 42 | Warmińsko-mazurskie | 99.5 | +9.1 pts |
| 43 | Moravskoslezsko | 99 | +17.1 pts |
| 44 | Düsseldorf | 98.8 | +8.1 pts |
| 45 | Friesland (NL) | 97.6 | -6.8 pts |
| 46 | Noord-Brabant | 97.3 | -14.8 pts |
| 47 | Castilla-La Mancha | 97.2 | -24 pts |
| 48 | Peloponnisos | 97 | |
| 49 | Münster | 96.6 | +2.9 pts |
| 50 | Dytiki Elláda | 96.1 | |
| 51 | Köln | 95.8 | +7.7 pts |
| 52 | Łódzkie | 95.2 | |
| 53 | Flevoland | 95 | -29.2 pts |
| 54 | Vzhodna Slovenija | 94.9 | |
| 55 | Prov. Antwerpen | 94.7 | -11.2 pts |
| 56 | Gelderland | 94.1 | -18 pts |
| 57 | Észak-Alföld | 93.7 | -1.6 pts |
| 58 | Dél-Dunántúl | 93.5 | +8.5 pts |
| 59 | Jihozápad | 92.3 | +10.3 pts |
| 60 | Weser-Ems | 92.1 | +13.8 pts |
| 61 | Groningen | 92 | -15.8 pts |
| 62 | Valencian Community | 91.7 | -9.9 pts |
| 63 | Stredné Slovensko | 91.6 | -8.2 pts |
| 64 | Voreio Aigaio | 90.8 | -17.3 pts |
| 65 | Severovýchod | 90.2 | +9.7 pts |
| 66 | Anatoliki Makedonia, Thraki | 89.9 | |
| 67 | Severozápad | 89.8 | +20.7 pts |
| 68 | Vest | 89.6 | -15.1 pts |
| 69 | Cantabria | 89.5 | +0.6 pts |
| 70 | Notio Aigaio | 89 | -3.8 pts |
| 71 | Thessalia | 89 | |
| 72 | Balearic Islands | 88.7 | -18.6 pts |
| 73 | Drenthe | 88.3 | -14.6 pts |
| 74 | Wielkopolskie | 88.2 | +21 pts |
| 75 | Asturias | 87.9 | -12.4 pts |
| 76 | Prov. Vlaams-Brabant | 87.7 | -7.2 pts |
| 77 | Berlin | 86.9 | +7.9 pts |
| 78 | Galicia | 86.5 | -10 pts |
| 79 | Valle d’Aosta/Vallée d’Aoste | 86.5 | +20.2 pts |
| 80 | Nord-Est | 86.2 | -9.8 pts |
| 81 | Detmold | 86.1 | +1.1 pts |
| 82 | Brandenburg | 86 | +9.8 pts |
| 83 | Kýpros | 85.8 | -3.7 pts |
| 84 | Pest | 85.5 | +8.8 pts |
| 85 | Kentriki Makedonia | 84.9 | |
| 86 | Podlaskie | 84.8 | |
| 87 | Lüneburg | 84.6 | +12.2 pts |
| 88 | Sud-Est | 84.1 | +1.1 pts |
| 89 | Západné Slovensko | 84.1 | -4 pts |
| 90 | Catalonia | 84 | -10.8 pts |
| 91 | Sterea Elláda | 82.9 | |
| 92 | Kujawsko-pomorskie | 82.7 | -2.7 pts |
| 93 | Braunschweig | 82.4 | +8.5 pts |
| 94 | Åland | 82.1 | +45.4 pts |
| 95 | Nord-Pas de Calais | 81.8 | -2.8 pts |
| 96 | Castile and León | 81.2 | -13.8 pts |
| 97 | Noord-Holland | 81.2 | -18.8 pts |
| 97 | Střední Morava | 81.2 | +13 pts |
| 99 | Oberfranken | 80.9 | +8.8 pts |
| 100 | Střední Čechy | 80.4 | +4.1 pts |
| 101 | Kassel | 80.4 | +2.1 pts |
| 102 | Melilla | 80.1 | -82.1 pts |
| 103 | Východné Slovensko | 79.9 | +3.6 pts |
| 104 | Navarre | 79.6 | -13.6 pts |
| 105 | Hannover | 79.1 | +2 pts |
| 106 | Zachodniopomorskie | 78.9 | +11.4 pts |
| 107 | Thüringen | 78 | +3.7 pts |
| 108 | Lubuskie | 77.9 | +26.9 pts |
| 109 | Budapest | 77.3 | +3.5 pts |
| 110 | Basque Country | 77.1 | -3.6 pts |
| 111 | Aragon | 76.6 | -16.5 pts |
| 111 | La Réunion | 76.6 | +1.3 pts |
| 113 | Centru | 76.6 | -7.4 pts |
| 114 | Gießen | 76.3 | -3.2 pts |
| 115 | Oberpfalz | 75.6 | +0.9 pts |
| 116 | Dolnośląskie | 75.5 | +22.2 pts |
| 117 | Koblenz | 74.7 | +4 pts |
| 118 | Luxembourg | 74.2 | -1.5 pts |
| 119 | Sud-Muntenia | 73.3 | +2.1 pts |
| 120 | Ipeiros | 73.2 | |
| 121 | Darmstadt | 73.1 | +2.3 pts |
| 122 | Dytiki Makedonia | 72.9 | |
| 123 | Lorraine | 72.4 | +0.7 pts |
| 124 | Praha | 72.1 | +7.2 pts |
| 125 | Mittelfranken | 71.8 | -10.3 pts |
| 126 | Nord-Vest | 71.8 | -1.8 pts |
| 127 | La Rioja | 70.8 | -6.2 pts |
| 128 | Lubelskie | 70.4 | |
| 128 | Sydsverige | 70.4 | -1.7 pts |
| 130 | Mecklenburg-Vorpommern | 70.3 | -7.7 pts |
| 131 | Picardie | 70.1 | -3.1 pts |
| 132 | Niederbayern | 69.5 | -1.7 pts |
| 133 | Zeeland | 69.5 | -6.6 pts |
| 134 | Közép-Dunántúl | 69.4 | -2.8 pts |
| 135 | Piemonte | 69 | -2.5 pts |
| 136 | Nyugat-Dunántúl | 68.7 | +3.7 pts |
| 137 | Schwaben | 68.2 | +7.6 pts |
| 138 | Rheinhessen-Pfalz | 68.2 | +2.8 pts |
| 138 | Zahodna Slovenija | 68.2 | |
| 140 | Mellersta Norrland | 67.9 | +2.6 pts |
| 141 | Basilicata | 67.8 | +1.3 pts |
| 142 | Småland med öarna | 67.5 | -0 pts |
| 143 | Friuli-Venezia Giulia | 67.4 | -2.4 pts |
| 144 | Saarland | 67.3 | +5.4 pts |
| 144 | Trier | 67.3 | +8.2 pts |
| 146 | Jihovýchod | 66.8 | +5.9 pts |
| 147 | Västsverige | 66.8 | -3.5 pts |
| 148 | Karlsruhe | 66.5 | +1.1 pts |
| 149 | Hamburg | 66.3 | +4 pts |
| 150 | Unterfranken | 66 | +1.8 pts |
| 151 | Campania | 65.5 | -1.1 pts |
| 152 | Sud-Vest Oltenia | 64.3 | -11.2 pts |
| 153 | Bucureşti-Ilfov | 64.1 | -0.5 pts |
| 154 | Bretagne | 64.1 | -3.3 pts |
| 155 | Freiburg | 63.2 | +4.2 pts |
| 156 | Alsace | 63.1 | +1.8 pts |
| 157 | Opolskie | 63.1 | +10.6 pts |
| 158 | Oberbayern | 62.4 | -0.9 pts |
| 159 | Dél-Alföld | 62.3 | -6 pts |
| 160 | Östra Mellansverige | 62 | -3.2 pts |
| 160 | Övre Norrland | 62 | -2 pts |
| 162 | Liguria | 61.9 | -0.1 pts |
| 162 | Norra Mellansverige | 61.9 | -5.8 pts |
| 164 | Sachsen-Anhalt | 61.7 | +7.9 pts |
| 165 | Provincia Autonoma di Bolzano/Bozen | 61.7 | -4.6 pts |
| 166 | Śląskie | 61.5 | +3.2 pts |
| 167 | Champagne-Ardenne | 61.4 | -3.2 pts |
| 168 | Lombardia | 61.4 | -4.4 pts |
| 169 | Emilia-Romagna | 61.1 | -2.4 pts |
| 170 | Yugoiztochen | 60.8 | -0.5 pts |
| 171 | Dresden | 60.2 | +9.2 pts |
| 172 | Toscana | 60 | -6.4 pts |
| 173 | Umbria | 59.9 | +0.9 pts |
| 174 | Basse-Normandie | 59.8 | +0.5 pts |
| 175 | Stockholm | 59.7 | +4 pts |
| 176 | Lazio | 59.6 | -3.8 pts |
| 177 | Abruzzo | 59.1 | +0.5 pts |
| 178 | Puglia | 58.9 | -7 pts |
| 179 | Sicilia | 58.6 | -5.7 pts |
| 180 | Provence-Alpes-Côte d’Azur | 58.5 | -2.6 pts |
| 181 | Małopolskie | 58.2 | +4.2 pts |
| 182 | Haute-Normandie | 58.2 | +0.8 pts |
| 183 | Veneto | 58.1 | -3.8 pts |
| 184 | Niederösterreich | 58 | -2.7 pts |
| 185 | Marche | 57.9 | +1 pts |
| 186 | Świętokrzyskie | 57.6 | |
| 187 | Auvergne | 57.4 | -4.5 pts |
| 187 | Bourgogne | 57.4 | +2.8 pts |
| 189 | Severozapaden | 57 | -11.9 pts |
| 190 | Leipzig | 56.6 | +4.5 pts |
| 191 | Languedoc-Roussillon | 56.3 | -3.4 pts |
| 192 | Poitou-Charentes | 56.2 | +1.3 pts |
| 193 | Vidurio ir vakarų Lietuvos regionas | 56 | +9.4 pts |
| 194 | Sardegna | 55.8 | -3.9 pts |
| 195 | Tübingen | 55.8 | -2.5 pts |
| 196 | Franche-Comté | 55.6 | -6.2 pts |
| 197 | Provincia Autonoma di Trento | 55.2 | +1.8 pts |
| 198 | Tirol | 54.8 | +7.4 pts |
| 199 | Corse | 54.4 | +12.9 pts |
| 200 | Calabria | 54.1 | -2.2 pts |
| 201 | Oberösterreich | 54 | +3 pts |
| 202 | Chemnitz | 53.8 | +7.7 pts |
| 203 | Yugozapaden | 53.6 | -15.4 pts |
| 204 | Aquitaine | 53.5 | -0.7 pts |
| 205 | Kärnten | 53 | -6.3 pts |
| 206 | Molise | 52.4 | -8.1 pts |
| 207 | Severoiztochen | 52.3 | -11.1 pts |
| 208 | Rhône-Alpes | 52.2 | -3.8 pts |
| 209 | Limousin | 51.8 | -0.6 pts |
| 210 | Pays de la Loire | 51.5 | -4 pts |
| 211 | Centre - Val de Loire | 51.5 | -0.9 pts |
| 212 | Stuttgart | 51.2 | -0.7 pts |
| 213 | Yuzhen tsentralen | 50.7 | +5.3 pts |
| 214 | Midi-Pyrénées | 50.6 | -6.8 pts |
| 215 | Ile-de-France | 50.4 | -2.4 pts |
| 216 | Severen tsentralen | 50.2 | -10.6 pts |
| 217 | Wien | 50 | +1.3 pts |
| 218 | Podkarpackie | 48.9 | |
| 219 | Salzburg | 48.2 | -0.9 pts |
| 220 | Guyane | 44.7 | -22.6 pts |
| 221 | Jadranska Hrvatska | 43.4 | -0.5 pts |
| 222 | Latvija | 43.4 | +6.6 pts |
| 223 | Eesti | 43.3 | +6.2 pts |
| 224 | Steiermark | 42.9 | -4.4 pts |
| 225 | Burgenland | 42.2 | -6.2 pts |
| 226 | Länsi-Suomi | 41 | -1.4 pts |
| 227 | Vorarlberg | 40.7 | -2.6 pts |
| 228 | Sostinės regionas | 39.8 | +1.3 pts |
| 229 | Martinique | 37.1 | +12.4 pts |
| 230 | Helsinki-Uusimaa | 36.7 | -2.9 pts |
| 231 | Pohjois- ja Itä-Suomi | 35.1 | -4.8 pts |
| 232 | Guadeloupe | 33.2 | -4.3 pts |
| 233 | Etelä-Suomi | 32.7 | -4 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. 11 regions with data in other periods have no value for 2013 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), 2013) [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), 2013. 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=2013. 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), 2013. 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=2013.
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), 2013 [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=2013 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2013,
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), 2013}},
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=2013. 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), 2013
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=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/eu-regions?period=2013.
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=10Questions
Which region has the highest death rate from respiratory diseases (age-standardised)?
Região Autónoma da Madeira, with 273.7 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest death rate from respiratory diseases (age-standardised)?
Etelä-Suomi, with 32.7 per 100,000 people in 2013.
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. 11 regions have no value for 2013 and are not ranked.