EU regions (NUTS 2) by death rate from circulatory diseases (age-standardised)
Severozapaden had the highest death rate from circulatory diseases (age-standardised) of 234 regions in 2014, at 1,244.1 per 100,000 people. Ile-de-France had the lowest, at 159.4 per 100,000 people. The median was 364.1 per 100,000 people and the figure for the European Union (27) was 388.7 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2014
Full ranking
| Rank | Regions | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Severozapaden | 1,244.1 | +45.7 pts |
| 2 | Severen tsentralen | 1,216.1 | +24.3 pts |
| 3 | Yugoiztochen | 1,214.8 | +21.2 pts |
| 4 | Severoiztochen | 1,119.9 | +24.3 pts |
| 5 | Sud-Vest Oltenia | 1,044.6 | -44.8 pts |
| 6 | Yugozapaden | 1,030.6 | +12.9 pts |
| 7 | Yuzhen tsentralen | 1,016.2 | +7.9 pts |
| 8 | Nord-Vest | 988.1 | -98.1 pts |
| 9 | Sud-Muntenia | 972.4 | -58.5 pts |
| 10 | Vest | 954.5 | -70.7 pts |
| 11 | Sud-Est | 912.3 | -53.8 pts |
| 12 | Nord-Est | 891.8 | -54.4 pts |
| 13 | Latvija | 871.9 | -57.2 pts |
| 14 | Észak-Magyarország | 867.5 | -21.6 pts |
| 15 | Centru | 849 | -79.3 pts |
| 16 | Vidurio ir vakarų Lietuvos regionas | 844.4 | -65.5 pts |
| 17 | Észak-Alföld | 827.9 | -10.5 pts |
| 18 | Sostinės regionas | 821.1 | -64.1 pts |
| 19 | Bucureşti-Ilfov | 810.1 | -24.6 pts |
| 20 | Dél-Alföld | 792.2 | -19.2 pts |
| 21 | Közép-Dunántúl | 765.4 | -57.8 pts |
| 22 | Pest | 762.1 | -64.2 pts |
| 23 | Nyugat-Dunántúl | 760.9 | -51.5 pts |
| 24 | Dél-Dunántúl | 724.6 | -57.4 pts |
| 25 | Severozápad | 699.2 | -81.4 pts |
| 26 | Eesti | 690.5 | -43 pts |
| 27 | Moravskoslezsko | 685.8 | -53.3 pts |
| 28 | Mazowiecki regionalny | 675.7 | -27.9 pts |
| 29 | Stredné Slovensko | 657.3 | -76.5 pts |
| 30 | Východné Slovensko | 655.1 | -99.7 pts |
| 31 | Śląskie | 654.8 | -61.5 pts |
| 32 | Západné Slovensko | 649.7 | -82.6 pts |
| 33 | Świętokrzyskie | 647.4 | -50.3 pts |
| 34 | Łódzkie | 622.7 | -37.7 pts |
| 35 | Střední Morava | 621.9 | -94.5 pts |
| 36 | Střední Čechy | 614.7 | -86 pts |
| 37 | Severovýchod | 604.8 | -67.9 pts |
| 38 | Zachodniopomorskie | 602.2 | -79.4 pts |
| 39 | Lubelskie | 600.3 | -52.8 pts |
| 40 | Budapest | 593.9 | -44.3 pts |
| 41 | Małopolskie | 589.8 | -31.1 pts |
| 42 | Dolnośląskie | 589.8 | -91.7 pts |
| 43 | Jadranska Hrvatska | 584.7 | +8.1 pts |
| 44 | Opolskie | 562.2 | -65.9 pts |
| 45 | Jihovýchod | 561.3 | -76.4 pts |
| 46 | Bratislavský kraj | 554.6 | -42.6 pts |
| 47 | Jihozápad | 553.9 | -108.7 pts |
| 48 | Podkarpackie | 552.9 | -80.3 pts |
| 49 | Warmińsko-mazurskie | 539.7 | -96.9 pts |
| 50 | Pomorskie | 529.8 | -41.6 pts |
| 51 | Podlaskie | 526.8 | -5.5 pts |
| 52 | Kujawsko-pomorskie | 522.5 | -98.9 pts |
| 53 | Wielkopolskie | 522.2 | -85.9 pts |
| 54 | Praha | 517 | -50 pts |
| 55 | Lubuskie | 515.3 | -134.3 pts |
| 56 | Sachsen-Anhalt | 510.6 | -30.3 pts |
| 57 | Warszawski stołeczny | 495 | -20.7 pts |
| 58 | Vzhodna Slovenija | 482.6 | -20.5 pts |
| 59 | Região Autónoma dos Açores | 475.7 | +13.3 pts |
| 60 | Chemnitz | 472.3 | -47.9 pts |
| 61 | Anatoliki Makedonia, Thraki | 466.5 | -18.7 pts |
| 62 | Burgenland | 462.2 | -37.5 pts |
| 63 | Leipzig | 457.6 | -39 pts |
| 64 | Thüringen | 457.2 | -42.6 pts |
| 65 | Oberfranken | 451.5 | -55.3 pts |
| 66 | Mecklenburg-Vorpommern | 446.5 | -53.7 pts |
| 67 | Wien | 445.2 | -38.1 pts |
| 68 | Brandenburg | 435.9 | -51 pts |
| 69 | Koblenz | 433.6 | -27.9 pts |
| 70 | Niederbayern | 432.1 | -23.8 pts |
| 71 | Oberpfalz | 429.1 | -34.7 pts |
| 72 | Hannover | 426.3 | -26.3 pts |
| 73 | Região Autónoma da Madeira | 423.6 | +79.6 pts |
| 74 | Braunschweig | 420.7 | -38.7 pts |
| 75 | Lüneburg | 420.6 | -45.8 pts |
| 76 | Mittelfranken | 420.3 | -45.5 pts |
| 77 | Dresden | 416.6 | -47.7 pts |
| 78 | Pohjois- ja Itä-Suomi | 415.2 | -23.7 pts |
| 79 | Niederösterreich | 415.2 | -48.5 pts |
| 80 | Weser-Ems | 414.5 | -53.6 pts |
| 81 | Unterfranken | 414.5 | -41.7 pts |
| 82 | Bremen | 410.1 | -34.8 pts |
| 83 | Saarland | 407.2 | -33.9 pts |
| 84 | Campania | 406 | -27.4 pts |
| 85 | Gießen | 405.7 | -41.4 pts |
| 86 | Oberösterreich | 405.4 | -56.2 pts |
| 87 | Kentriki Makedonia | 405.1 | -26 pts |
| 88 | Steiermark | 404.3 | -19.2 pts |
| 89 | Kassel | 397.4 | -61.3 pts |
| 90 | Arnsberg | 397 | -46 pts |
| 91 | Rheinhessen-Pfalz | 395.1 | -48.4 pts |
| 92 | Sterea Elláda | 394.8 | -22.9 pts |
| 93 | Kärnten | 392.2 | -31.5 pts |
| 94 | Trier | 391.8 | -51.2 pts |
| 95 | Mellersta Norrland | 391.7 | -12.4 pts |
| 96 | Schwaben | 389 | -33.8 pts |
| 97 | Zahodna Slovenija | 388.2 | -21.9 pts |
| 98 | Schleswig-Holstein | 387.6 | -65.1 pts |
| 99 | Mayotte | 386.8 | |
| 100 | Notio Aigaio | 385.7 | -4.1 pts |
| 101 | Dytiki Makedonia | 381.9 | -61.2 pts |
| 102 | Detmold | 380.5 | -42 pts |
| 103 | Etelä-Suomi | 375 | -37.3 pts |
| 104 | Åland | 374.9 | +31.7 pts |
| 105 | Sicilia | 373.7 | -20.3 pts |
| 106 | Köln | 372.6 | -47.1 pts |
| 107 | Ceuta | 371.8 | -31.7 pts |
| 108 | Düsseldorf | 371.1 | -44.2 pts |
| 109 | Dytiki Elláda | 369.6 | -56.6 pts |
| 110 | Karlsruhe | 369.5 | -32.8 pts |
| 111 | Münster | 369.4 | -50.6 pts |
| 112 | Thessalia | 368.6 | -30.5 pts |
| 113 | Tirol | 368.1 | -29.2 pts |
| 114 | Calabria | 368.1 | -12.6 pts |
| 115 | Molise | 365.1 | -2.9 pts |
| 116 | Övre Norrland | 364.7 | -39.6 pts |
| 117 | Ionia Nisia | 364.4 | -45.4 pts |
| 118 | Länsi-Suomi | 363.8 | -13.7 pts |
| 119 | Norra Mellansverige | 361.4 | -28.9 pts |
| 120 | Malta | 361.1 | -54.5 pts |
| 121 | Attiki | 360.5 | -30.4 pts |
| 122 | Tübingen | 359.1 | -28.6 pts |
| 123 | Stuttgart | 358.6 | -44 pts |
| 124 | Vorarlberg | 358.2 | -32.9 pts |
| 125 | Salzburg | 357.1 | -30.8 pts |
| 126 | Freiburg | 355.6 | -19.8 pts |
| 127 | Peloponnisos | 355.1 | -45.4 pts |
| 128 | Darmstadt | 352 | -43.5 pts |
| 129 | Voreio Aigaio | 349.7 | -1.4 pts |
| 130 | Oberbayern | 348.2 | -39 pts |
| 131 | Kýpros | 346.3 | -1.5 pts |
| 132 | Småland med öarna | 343.1 | -22.6 pts |
| 133 | Melilla | 341.3 | +8 pts |
| 134 | Basilicata | 339.8 | -19.4 pts |
| 135 | Helsinki-Uusimaa | 337.4 | -8.3 pts |
| 136 | Östra Mellansverige | 334.6 | -24.5 pts |
| 137 | Southern | 332.8 | -50.8 pts |
| 138 | Västsverige | 331.9 | -23.2 pts |
| 139 | Abruzzo | 330.4 | -28.7 pts |
| 140 | Kriti | 328.9 | -14 pts |
| 141 | Sydsverige | 326.9 | -21.2 pts |
| 142 | Hamburg | 326.6 | -37.2 pts |
| 143 | Prov. Hainaut | 323.9 | -28.4 pts |
| 144 | Lazio | 314.9 | -14.9 pts |
| 145 | Andalusia | 313.9 | -17 pts |
| 146 | Berlin | 313.7 | -50.1 pts |
| 147 | Ipeiros | 311.8 | -51.6 pts |
| 148 | Northern and Western | 310.7 | -47.7 pts |
| 149 | Puglia | 309.5 | -17.8 pts |
| 150 | Prov. Namur | 307.7 | -14.1 pts |
| 151 | Piemonte | 303.7 | -22.3 pts |
| 152 | Groningen | 301.8 | -11.2 pts |
| 153 | Prov. Liège | 300.8 | -28.6 pts |
| 154 | Stockholm | 300.5 | -7.7 pts |
| 155 | Liguria | 293.9 | -19 pts |
| 156 | Norte | 293.5 | -11.6 pts |
| 157 | Luxembourg | 291.1 | -25.6 pts |
| 158 | Umbria | 290.7 | -33.8 pts |
| 159 | Provincia Autonoma di Bolzano/Bozen | 290.3 | -17.2 pts |
| 160 | Eastern and Midland | 289.4 | -39.5 pts |
| 161 | Prov. Luxembourg (BE) | 286.8 | -37.2 pts |
| 162 | Marche | 285.6 | -24.3 pts |
| 163 | Friesland (NL) | 280.4 | -8.9 pts |
| 164 | Veneto | 280.3 | -17.7 pts |
| 165 | Limburg (NL) | 279.2 | -25.3 pts |
| 166 | Toscana | 277.4 | -30.4 pts |
| 167 | Friuli-Venezia Giulia | 276 | -27.2 pts |
| 168 | Prov. Oost-Vlaanderen | 276 | -29.2 pts |
| 169 | Overijssel | 275.9 | -20.9 pts |
| 170 | Emilia-Romagna | 273.6 | -23.8 pts |
| 171 | Noord-Brabant | 272.9 | -15.7 pts |
| 172 | Prov. Brabant wallon | 272.3 | -10.3 pts |
| 173 | Extremadura | 271.7 | -16.2 pts |
| 174 | Gelderland | 271.5 | -24.2 pts |
| 175 | Asturias | 269.5 | -18.4 pts |
| 176 | Valle d’Aosta/Vallée d’Aoste | 269.4 | -3 pts |
| 177 | Lombardia | 268.6 | -23.6 pts |
| 178 | Valencian Community | 267.6 | -17.4 pts |
| 179 | Algarve | 267.1 | +4.3 pts |
| 180 | Prov. Antwerpen | 266.5 | -31.3 pts |
| 181 | Nordjylland | 265.6 | -7.4 pts |
| 182 | Flevoland | 264.8 | -31.4 pts |
| 183 | Drenthe | 262.7 | -29.2 pts |
| 184 | Prov. West-Vlaanderen | 261.7 | -30.4 pts |
| 185 | Region of Murcia | 261.7 | -24.3 pts |
| 186 | Prov. Limburg (BE) | 261.4 | -33.9 pts |
| 187 | Sjælland | 261.2 | -13 pts |
| 188 | Syddanmark | 259.1 | -5.4 pts |
| 189 | Noord-Holland | 257.3 | -14.5 pts |
| 190 | Prov. Vlaams-Brabant | 256.5 | -28 pts |
| 191 | Sardegna | 254.8 | -27.1 pts |
| 192 | Zeeland | 254.5 | -40.8 pts |
| 193 | Balearic Islands | 252.5 | -24.1 pts |
| 194 | Midtjylland | 249.9 | -35.3 pts |
| 195 | Galicia | 247.5 | -31.4 pts |
| 196 | Provincia Autonoma di Trento | 244.4 | -26.6 pts |
| 197 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 244.2 | -15.1 pts |
| 198 | Aragon | 243.2 | -12.4 pts |
| 199 | Hovedstaden | 240.9 | -16.8 pts |
| 200 | Nord-Pas de Calais | 239.3 | -26.9 pts |
| 201 | La Réunion | 233.6 | -26.8 pts |
| 202 | La Rioja | 231.6 | -19.1 pts |
| 203 | Castilla-La Mancha | 226.1 | -18.8 pts |
| 204 | Cantabria | 226 | -4.5 pts |
| 205 | Picardie | 223.2 | -29.1 pts |
| 206 | Bretagne | 221.2 | -25.1 pts |
| 207 | Lorraine | 221.2 | -11.1 pts |
| 208 | Limousin | 220.9 | -17.2 pts |
| 209 | Alsace | 218.8 | -26.6 pts |
| 210 | Catalonia | 218.3 | -14.9 pts |
| 211 | Canary Islands | 218.2 | +5.9 pts |
| 212 | Auvergne | 217.4 | -21.3 pts |
| 213 | Haute-Normandie | 217.3 | -20.3 pts |
| 214 | Franche-Comté | 216.2 | -9.7 pts |
| 215 | Castile and León | 214 | -9.4 pts |
| 216 | Basse-Normandie | 212.2 | -24.8 pts |
| 217 | Champagne-Ardenne | 212 | -17.8 pts |
| 218 | Martinique | 210.5 | +20.3 pts |
| 219 | Basque Country | 207.4 | -16.6 pts |
| 220 | Aquitaine | 206 | -12.7 pts |
| 221 | Corse | 204.8 | -27.9 pts |
| 222 | Navarre | 203.8 | -24.6 pts |
| 223 | Centre - Val de Loire | 201.2 | -11.7 pts |
| 224 | Guadeloupe | 200.9 | +9.4 pts |
| 225 | Bourgogne | 200.4 | -21.4 pts |
| 226 | Guyane | 199.2 | -23.2 pts |
| 227 | Languedoc-Roussillon | 197.7 | -16.3 pts |
| 228 | Poitou-Charentes | 197.6 | -23.4 pts |
| 229 | Pays de la Loire | 194 | -22.3 pts |
| 230 | Midi-Pyrénées | 191.3 | -5.7 pts |
| 231 | Community of Madrid | 187.4 | -10.3 pts |
| 232 | Provence-Alpes-Côte d’Azur | 186.5 | -14.6 pts |
| 233 | Rhône-Alpes | 185.3 | -12.3 pts |
| 234 | Ile-de-France | 159.4 | -14.2 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 I00 to I99) 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).
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 I (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 I (hlth_cd_asdr2) (EU regions (NUTS 2) by death rate from circulatory 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 I (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from circulatory 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/circulatory-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 I (hlth_cd_asdr2). EU regions (NUTS 2) by death rate from circulatory 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/circulatory-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 I (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from circulatory 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/circulatory-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 I (hlth\_cd\_asdr2): EU regions (NUTS 2) by death rate from circulatory 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/circulatory-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 I (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 I (hlth_cd_asdr2): EU regions (NUTS 2) by death rate from circulatory 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/circulatory-disease-death-rate/eu-regions?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/circulatory-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 I (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 circulatory diseases (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_circulatory","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_circulatory&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest death rate from circulatory diseases (age-standardised)?
Severozapaden, with 1,244.1 per 100,000 people in 2014, according to Eurostat, European Commission.
Which region has the lowest death rate from circulatory diseases (age-standardised)?
Ile-de-France, with 159.4 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 I (hlth_cd_asdr2). Retrieved 2026-10-12. 10 regions have no value for 2014 and are not ranked.
Death rate from circulatory diseases (age-standardised): other rankings
EU regions (NUTS 2): more rankings
- Transport accident death rate (age-standardised)
- Lung cancer death rate (age-standardised)
- Infant mortality rate
- Death rate from ischaemic heart disease (age-standardised)
- Age dependency ratio (ages 15 to 64 base)
- Robberies with violence or intimidation (Spain)
- Natural change rate
- Population with higher education, aged 15 and over (Spain)