EU regions (NUTS 2) by lung cancer death rate (age-standardised)
Észak-Alföld had the highest lung cancer death rate (age-standardised) of 233 regions in 2013, at 97 per 100,000 people. Guadeloupe had the lowest, at 12.5 per 100,000 people. The median was 51.9 per 100,000 people and the figure for the European Union (27) was 53.8 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Észak-Alföld | 97 | -2.5 pts |
| 2 | Pest | 93.1 | +3.4 pts |
| 3 | Dél-Dunántúl | 92.8 | -3.7 pts |
| 4 | Warmińsko-mazurskie | 91.8 | +2.1 pts |
| 5 | Észak-Magyarország | 91.1 | -1.8 pts |
| 6 | Dél-Alföld | 90 | -6.8 pts |
| 7 | Közép-Dunántúl | 89.2 | +1.9 pts |
| 8 | Budapest | 84.8 | -7 pts |
| 9 | Região Autónoma dos Açores | 81 | +5.9 pts |
| 10 | Mazowiecki regionalny | 80.3 | |
| 11 | Kujawsko-pomorskie | 79.9 | -2.9 pts |
| 12 | Zachodniopomorskie | 78.5 | +1.3 pts |
| 13 | Syddanmark | 77.5 | +3.2 pts |
| 14 | Severozápad | 76.9 | +1.6 pts |
| 15 | Nordjylland | 76.6 | +2.4 pts |
| 15 | Sjælland | 76.6 | -2.7 pts |
| 17 | Pomorskie | 75.9 | -3.8 pts |
| 18 | Nyugat-Dunántúl | 75.6 | -5 pts |
| 19 | Prov. Namur | 75.3 | +11.3 pts |
| 20 | Prov. Liège | 75.3 | +1.9 pts |
| 21 | Warszawski stołeczny | 72.4 | |
| 22 | Noord-Brabant | 71.9 | -2 pts |
| 23 | Flevoland | 71.2 | +1.5 pts |
| 24 | Groningen | 71.1 | -10 pts |
| 25 | Dolnośląskie | 71.1 | -2.7 pts |
| 26 | Łódzkie | 70.3 | |
| 27 | Lubuskie | 69.4 | -4.4 pts |
| 28 | Limburg (NL) | 69.4 | -2.4 pts |
| 29 | Dytiki Elláda | 69.3 | |
| 30 | Hovedstaden | 68.8 | -6.3 pts |
| 31 | Bucureşti-Ilfov | 68.5 | +1.1 pts |
| 32 | Düsseldorf | 67.9 | +0.6 pts |
| 33 | Prov. Luxembourg (BE) | 67.9 | -6.1 pts |
| 34 | Prov. Limburg (BE) | 67.8 | +1.6 pts |
| 35 | Midtjylland | 67.7 | -6.5 pts |
| 36 | Prov. Hainaut | 67.6 | +0.2 pts |
| 37 | Noord-Holland | 67.6 | +0.3 pts |
| 38 | Eastern and Midland | 67 | |
| 39 | Bremen | 67 | +5.4 pts |
| 40 | Wielkopolskie | 66.4 | -1.1 pts |
| 41 | Drenthe | 66.3 | -0.9 pts |
| 42 | Střední Čechy | 65.9 | +0.5 pts |
| 43 | Śląskie | 65.4 | -0.8 pts |
| 44 | Anatoliki Makedonia, Thraki | 65.1 | |
| 45 | Gelderland | 65.1 | -3.5 pts |
| 46 | Arnsberg | 65 | +1.2 pts |
| 47 | Ceuta | 65 | +13.1 pts |
| 48 | Overijssel | 64.6 | -0 pts |
| 49 | Attiki | 64.5 | +1.3 pts |
| 50 | Saarland | 64.4 | -3.4 pts |
| 51 | Opolskie | 64.3 | +1.1 pts |
| 52 | Vest | 63.3 | +0.2 pts |
| 53 | Corse | 63.2 | -1.1 pts |
| 54 | Hamburg | 62.9 | -2.1 pts |
| 55 | Berlin | 62.9 | -1.5 pts |
| 56 | Świętokrzyskie | 62.9 | |
| 57 | Kriti | 62.7 | +3.4 pts |
| 58 | Kentriki Makedonia | 62.5 | |
| 59 | Jadranska Hrvatska | 62.3 | -3.1 pts |
| 60 | Podlaskie | 61.9 | |
| 61 | Lazio | 61.8 | +1.2 pts |
| 62 | Münster | 61.7 | +1.4 pts |
| 63 | Prov. Antwerpen | 61.5 | +1.9 pts |
| 64 | Köln | 61.3 | -1.5 pts |
| 65 | Campania | 60.9 | +1.8 pts |
| 66 | Małopolskie | 60.7 | -0.6 pts |
| 67 | Extremadura | 60.3 | 0 pts |
| 68 | Trier | 60.1 | +5.7 pts |
| 69 | Prov. Oost-Vlaanderen | 59.8 | +2.6 pts |
| 70 | Voreio Aigaio | 59.6 | +13.6 pts |
| 71 | Ionia Nisia | 59.5 | |
| 72 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 59.1 | +3.3 pts |
| 73 | Friesland (NL) | 59 | -2.9 pts |
| 74 | Koblenz | 58.6 | +3.2 pts |
| 75 | Zahodna Slovenija | 58.2 | |
| 76 | Asturias | 58 | -1 pts |
| 77 | Lorraine | 58 | -3.3 pts |
| 78 | Schleswig-Holstein | 57.6 | +3.8 pts |
| 79 | Mecklenburg-Vorpommern | 57.4 | +3.4 pts |
| 80 | Moravskoslezsko | 57.3 | -3 pts |
| 81 | Champagne-Ardenne | 57.1 | -1.7 pts |
| 82 | Dytiki Makedonia | 57 | |
| 83 | Wien | 57 | -2.4 pts |
| 84 | Nord-Pas de Calais | 56.7 | -1.2 pts |
| 85 | Notio Aigaio | 56.3 | -4.8 pts |
| 86 | Thessalia | 56.2 | |
| 87 | Sterea Elláda | 56.1 | |
| 88 | Sachsen-Anhalt | 56 | +3.4 pts |
| 89 | Ipeiros | 55.9 | |
| 90 | Southern | 55.8 | |
| 91 | Lubelskie | 55.6 | |
| 92 | Zeeland | 55.5 | -5.8 pts |
| 93 | Haute-Normandie | 55.4 | +1.9 pts |
| 94 | Sud-Est | 55.3 | +3.1 pts |
| 95 | Picardie | 55.3 | -1.1 pts |
| 96 | Lombardia | 54.8 | -1 pts |
| 96 | Prov. West-Vlaanderen | 54.8 | +2.5 pts |
| 98 | Northern and Western | 54.6 | |
| 99 | Západné Slovensko | 54.5 | -0.4 pts |
| 100 | Languedoc-Roussillon | 53.7 | -1.5 pts |
| 101 | Praha | 53.7 | -3.7 pts |
| 102 | Aragon | 53.6 | +1.8 pts |
| 103 | Hannover | 53.4 | -1.6 pts |
| 104 | Brandenburg | 53.3 | +1.2 pts |
| 105 | Braunschweig | 53.2 | -1.1 pts |
| 106 | Valle d’Aosta/Vallée d’Aoste | 53.1 | +6.1 pts |
| 107 | Severovýchod | 53.1 | -3 pts |
| 108 | Cantabria | 53.1 | -2.2 pts |
| 109 | Jihozápad | 52.9 | -3.3 pts |
| 110 | Lüneburg | 52.9 | -5.6 pts |
| 111 | Vzhodna Slovenija | 52.6 | |
| 112 | Aquitaine | 52.4 | +1.5 pts |
| 113 | Piemonte | 52.4 | +1.2 pts |
| 114 | Navarre | 52.3 | +2.6 pts |
| 115 | Stredné Slovensko | 52.1 | -0.8 pts |
| 116 | Liguria | 52.1 | -2.1 pts |
| 117 | Emilia-Romagna | 51.9 | -1.5 pts |
| 118 | Sud-Muntenia | 51.8 | +0.8 pts |
| 118 | Weser-Ems | 51.8 | -2.2 pts |
| 120 | Eesti | 51.7 | -2.2 pts |
| 121 | Provence-Alpes-Côte d’Azur | 51.6 | +1.7 pts |
| 122 | Yuzhen tsentralen | 51.6 | +0.5 pts |
| 123 | Poitou-Charentes | 51.5 | 0 pts |
| 124 | Severoiztochen | 51.5 | -1.3 pts |
| 125 | Centre - Val de Loire | 51.5 | +1.2 pts |
| 126 | Leipzig | 51.4 | +2.5 pts |
| 127 | Bourgogne | 51.3 | -0.7 pts |
| 128 | Peloponnisos | 51.3 | |
| 129 | Bretagne | 51.3 | +3.4 pts |
| 129 | Canary Islands | 51.3 | +1.5 pts |
| 129 | Prov. Vlaams-Brabant | 51.3 | -2 pts |
| 132 | Rheinhessen-Pfalz | 51.1 | -1 pts |
| 133 | Nord-Vest | 51 | -2 pts |
| 134 | Východné Slovensko | 50.8 | -0.8 pts |
| 135 | Franche-Comté | 50.8 | -4.5 pts |
| 136 | Centru | 50.8 | -1 pts |
| 136 | Toscana | 50.8 | -1.1 pts |
| 138 | Basque Country | 50.7 | +3.1 pts |
| 139 | Sardegna | 50.6 | +2 pts |
| 140 | Catalonia | 50.5 | +0.5 pts |
| 141 | Kassel | 50.5 | +2 pts |
| 142 | Valencian Community | 50.3 | +0.1 pts |
| 143 | Åland | 49.8 | +8.3 pts |
| 144 | Castilla-La Mancha | 49.7 | +0.4 pts |
| 145 | Friuli-Venezia Giulia | 49.6 | -5 pts |
| 145 | Veneto | 49.6 | +0.3 pts |
| 147 | Gießen | 49.5 | +4 pts |
| 147 | Limousin | 49.5 | +3.9 pts |
| 149 | Jihovýchod | 49.5 | -2.5 pts |
| 150 | Prov. Brabant wallon | 49.5 | -10.6 pts |
| 151 | Latvija | 49.4 | +0.4 pts |
| 152 | Andalusia | 49.4 | -1.3 pts |
| 153 | Bratislavský kraj | 49.2 | +3 pts |
| 154 | Nord-Est | 49.2 | +0.2 pts |
| 155 | Galicia | 49.1 | +0.3 pts |
| 156 | Detmold | 49.1 | -2.8 pts |
| 157 | Auvergne | 49 | +0.9 pts |
| 158 | Darmstadt | 48.9 | +2 pts |
| 159 | Region of Murcia | 48.8 | +2.1 pts |
| 160 | Alsace | 48.7 | -3 pts |
| 161 | Podkarpackie | 48.6 | |
| 162 | Severen tsentralen | 48.5 | +4.2 pts |
| 163 | Balearic Islands | 48.4 | -6.8 pts |
| 164 | Ile-de-France | 47.9 | -1.7 pts |
| 165 | Luxembourg | 47.7 | -9.3 pts |
| 166 | Melilla | 47.6 | -16.7 pts |
| 167 | Rhône-Alpes | 47.6 | -0.7 pts |
| 168 | Kärnten | 47.4 | -1.7 pts |
| 169 | Vorarlberg | 47.3 | +4.3 pts |
| 170 | Vidurio ir vakarų Lietuvos regionas | 47.3 | -1.8 pts |
| 171 | Sicilia | 47.2 | -0.3 pts |
| 172 | Severozapaden | 47 | +0.4 pts |
| 173 | Burgenland | 46.8 | +3.4 pts |
| 174 | Niederösterreich | 46.8 | +1.6 pts |
| 175 | Castile and León | 46.6 | +2.7 pts |
| 176 | Tirol | 46.5 | +4.2 pts |
| 177 | Sydsverige | 46.2 | +0.5 pts |
| 178 | Basse-Normandie | 46.1 | -6.7 pts |
| 179 | Community of Madrid | 46 | -1.3 pts |
| 180 | Provincia Autonoma di Trento | 45.6 | -0.8 pts |
| 181 | Helsinki-Uusimaa | 44.8 | -4.9 pts |
| 182 | Yugozapaden | 44.3 | +1.8 pts |
| 183 | Střední Morava | 44.3 | -4.3 pts |
| 184 | Yugoiztochen | 44 | -3.5 pts |
| 185 | Etelä-Suomi | 44 | +6.2 pts |
| 186 | Pays de la Loire | 43.8 | +1.2 pts |
| 187 | Niederbayern | 43.7 | +4.2 pts |
| 188 | Umbria | 43.5 | -0.1 pts |
| 189 | Puglia | 43.4 | -2.7 pts |
| 190 | Mittelfranken | 43.3 | +1.5 pts |
| 191 | Midi-Pyrénées | 43.1 | -1.8 pts |
| 192 | Karlsruhe | 43.1 | -4.6 pts |
| 193 | Östra Mellansverige | 42.8 | +2.5 pts |
| 194 | Algarve | 42.2 | +2.8 pts |
| 195 | Oberpfalz | 42.1 | -4.6 pts |
| 196 | La Rioja | 42.1 | -8.1 pts |
| 197 | Steiermark | 41.9 | -1.5 pts |
| 198 | Chemnitz | 41.9 | 0 pts |
| 199 | Provincia Autonoma di Bolzano/Bozen | 41.8 | -4.8 pts |
| 200 | Sud-Vest Oltenia | 41.8 | -1.1 pts |
| 201 | Marche | 41.6 | -1.5 pts |
| 202 | Thüringen | 41.5 | -3.2 pts |
| 203 | Região Autónoma da Madeira | 41.4 | +1.3 pts |
| 204 | Stuttgart | 41.3 | +2 pts |
| 205 | Malta | 41.1 | -8.3 pts |
| 206 | Oberfranken | 41 | +1.2 pts |
| 207 | Stockholm | 40.7 | -1.6 pts |
| 208 | Pohjois- ja Itä-Suomi | 40.5 | -0.9 pts |
| 209 | Freiburg | 40.4 | +2.4 pts |
| 210 | Abruzzo | 39.7 | +2 pts |
| 211 | Norte | 39.3 | +2.6 pts |
| 212 | Sostinės regionas | 39.2 | -1.1 pts |
| 213 | Oberbayern | 39 | -0.1 pts |
| 214 | Salzburg | 38.5 | +2.2 pts |
| 215 | Oberösterreich | 38.2 | -1 pts |
| 216 | Schwaben | 38.1 | +0.4 pts |
| 217 | Norra Mellansverige | 37.9 | +5.1 pts |
| 218 | Unterfranken | 37.5 | -0.6 pts |
| 219 | Länsi-Suomi | 37.3 | +2.3 pts |
| 220 | Tübingen | 37 | -1.4 pts |
| 221 | Kýpros | 36.7 | -3.5 pts |
| 222 | Dresden | 36 | -1.7 pts |
| 222 | Västsverige | 36 | -1.2 pts |
| 224 | Småland med öarna | 34.5 | -3.3 pts |
| 225 | La Réunion | 34.5 | -1.7 pts |
| 226 | Calabria | 33.9 | -3.8 pts |
| 227 | Basilicata | 32.4 | -3.5 pts |
| 228 | Mellersta Norrland | 32.2 | +1.8 pts |
| 229 | Övre Norrland | 32 | -1 pts |
| 230 | Molise | 26.8 | -4.1 pts |
| 231 | Martinique | 19.6 | +5.6 pts |
| 232 | Guyane | 15.8 | -21.4 pts |
| 233 | Guadeloupe | 12.5 | -0.5 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 C33 and C34) 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. 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 C33_C34 (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 C33_C34 (hlth_cd_asdr2) (EU regions (NUTS 2) by lung cancer death rate (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 C33_C34 (hlth_cd_asdr2), EU regions (NUTS 2) by lung cancer death rate (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/lung-cancer-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 C33_C34 (hlth_cd_asdr2). EU regions (NUTS 2) by lung cancer death rate (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/lung-cancer-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 C33_C34 (hlth_cd_asdr2), EU regions (NUTS 2) by lung cancer death rate (age-standardised), 2013 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/lung-cancer-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 C33\_C34 (hlth\_cd\_asdr2): EU regions (NUTS 2) by lung cancer death rate (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/lung-cancer-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 C33\_C34 (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 C33_C34 (hlth_cd_asdr2): EU regions (NUTS 2) by lung cancer death rate (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/lung-cancer-death-rate/eu-regions?period=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/lung-cancer-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 C33_C34 (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 lung cancer death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_lung_cancer","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_lung_cancer&level=region&within=European%20Union%20(27)&limit=10Questions
Which region has the highest lung cancer death rate (age-standardised)?
Észak-Alföld, with 97 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest lung cancer death rate (age-standardised)?
Guadeloupe, with 12.5 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 C33_C34 (hlth_cd_asdr2). Retrieved 2026-10-12. 11 regions have no value for 2013 and are not ranked.