EU regions (NUTS 2) by transport accident death rate (age-standardised)
Vest had the highest transport accident death rate (age-standardised) of 234 regions in 2018, at 17.5 per 100,000 people. Melilla had the lowest, at 1.2 per 100,000 people. The median was 5.4 per 100,000 people and the figure for the European Union (27) was 5.8 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2018
Full ranking
| Rank | Regions | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Vest | 17.5 | -0.6 pts |
| 2 | Świętokrzyskie | 17.4 | +5.3 pts |
| 3 | Lubelskie | 15.4 | +4.2 pts |
| 4 | Guyane | 14.4 | +2.2 pts |
| 5 | Mazowiecki regionalny | 13.7 | +0.7 pts |
| 6 | Sud-Est | 12.5 | +0.3 pts |
| 7 | Warmińsko-mazurskie | 12.4 | +2.5 pts |
| 8 | Nord-Vest | 12.4 | +1.1 pts |
| 9 | Algarve | 11.7 | +1.9 pts |
| 10 | Nord-Est | 11.3 | -0.3 pts |
| 11 | Notio Aigaio | 11.3 | -0.1 pts |
| 12 | Sud-Muntenia | 11.3 | +0.6 pts |
| 13 | Sud-Vest Oltenia | 11.1 | -3.5 pts |
| 14 | Łódzkie | 11 | +0.8 pts |
| 15 | Dytiki Elláda | 10.9 | +0.1 pts |
| 16 | Közép-Dunántúl | 10.8 | +2.6 pts |
| 17 | Centru | 10.5 | -0.8 pts |
| 18 | Severozapaden | 10.3 | +1 pts |
| 19 | Sterea Elláda | 10.3 | -0.4 pts |
| 20 | Wielkopolskie | 10.3 | -1.4 pts |
| 21 | Peloponnisos | 10.2 | -1.6 pts |
| 22 | Kriti | 10.2 | +2 pts |
| 23 | Lubuskie | 10.1 | +0.5 pts |
| 24 | Severoiztochen | 9.9 | +0.2 pts |
| 25 | Jadranska Hrvatska | 9.9 | -0.2 pts |
| 26 | Dél-Alföld | 9.8 | -0.3 pts |
| 27 | Podlaskie | 9.8 | -0.7 pts |
| 28 | Jihozápad | 9.8 | +0.4 pts |
| 29 | Pest | 9.6 | +1.3 pts |
| 30 | Dolnośląskie | 9.5 | -0.9 pts |
| 31 | Kujawsko-pomorskie | 9.5 | +1.4 pts |
| 32 | Yugoiztochen | 9.4 | -0.2 pts |
| 33 | Latvija | 9.3 | +1.1 pts |
| 34 | Észak-Magyarország | 9.3 | -0.3 pts |
| 35 | Prov. Luxembourg (BE) | 9.2 | -1.3 pts |
| 36 | Ipeiros | 9.1 | +2 pts |
| 37 | Opolskie | 8.8 | +0.9 pts |
| 38 | Prov. Namur | 8.7 | -0.6 pts |
| 39 | Střední Čechy | 8.7 | +3.4 pts |
| 40 | Zachodniopomorskie | 8.7 | +0.4 pts |
| 41 | Valle d’Aosta/Vallée d’Aoste | 8.6 | +1.6 pts |
| 42 | Dél-Dunántúl | 8.6 | +0.1 pts |
| 43 | Sostinės regionas | 8.5 | +0.6 pts |
| 44 | Severen tsentralen | 8.3 | -0.8 pts |
| 45 | Nyugat-Dunántúl | 8.2 | 0 pts |
| 46 | Észak-Alföld | 8.2 | -0.7 pts |
| 47 | Pomorskie | 8.2 | +0.8 pts |
| 48 | Podkarpackie | 7.9 | +0.5 pts |
| 49 | Vidurio ir vakarų Lietuvos regionas | 7.6 | -1.3 pts |
| 50 | Yuzhen tsentralen | 7.5 | -0.2 pts |
| 51 | Východné Slovensko | 7.5 | +0.9 pts |
| 52 | Ionia Nisia | 7.5 | -7 pts |
| 53 | Região Autónoma dos Açores | 7.5 | +0.2 pts |
| 54 | Guadeloupe | 7.4 | -3.9 pts |
| 55 | Małopolskie | 7.4 | +0.7 pts |
| 56 | Moravskoslezsko | 7.3 | +0.9 pts |
| 57 | Niederbayern | 7.3 | +0.5 pts |
| 58 | Attiki | 7.2 | -0.1 pts |
| 59 | Warszawski stołeczny | 7.2 | -0.9 pts |
| 60 | Severozápad | 7.1 | -0.5 pts |
| 61 | Střední Morava | 7 | +0.6 pts |
| 62 | Západné Slovensko | 6.9 | -0.4 pts |
| 63 | Övre Norrland | 6.9 | +2.3 pts |
| 63 | Pohjois- ja Itä-Suomi | 6.9 | +0.9 pts |
| 65 | Calabria | 6.8 | +1.6 pts |
| 65 | Emilia-Romagna | 6.8 | -1.2 pts |
| 67 | Mellersta Norrland | 6.6 | +0.7 pts |
| 68 | Bucureşti-Ilfov | 6.6 | -2.8 pts |
| 69 | Dytiki Makedonia | 6.6 | +2.3 pts |
| 70 | Friuli-Venezia Giulia | 6.6 | +2.2 pts |
| 71 | Piemonte | 6.5 | -0.1 pts |
| 71 | Śląskie | 6.5 | -0.4 pts |
| 73 | Marche | 6.5 | -0.3 pts |
| 74 | Aragon | 6.5 | +0.3 pts |
| 75 | Lüneburg | 6.5 | +0.1 pts |
| 76 | Veneto | 6.4 | +0.3 pts |
| 77 | Galicia | 6.4 | +0.9 pts |
| 78 | Anatoliki Makedonia, Thraki | 6.3 | -1.5 pts |
| 79 | Eesti | 6.3 | +1.3 pts |
| 80 | Stredné Slovensko | 6.3 | -1.3 pts |
| 81 | Limousin | 6.2 | +1.8 pts |
| 82 | Prov. Hainaut | 6.2 | -0.4 pts |
| 83 | Norte | 6.2 | -0.4 pts |
| 84 | Corse | 6.1 | -0.6 pts |
| 84 | Sardegna | 6.1 | -0.3 pts |
| 86 | Mecklenburg-Vorpommern | 6 | +1 pts |
| 87 | Jihovýchod | 6 | -0.4 pts |
| 87 | Niederösterreich | 6 | +0.6 pts |
| 89 | Länsi-Suomi | 5.9 | +0.5 pts |
| 90 | Lazio | 5.9 | -0.6 pts |
| 91 | Abruzzo | 5.9 | -0.9 pts |
| 91 | Provincia Autonoma di Bolzano/Bozen | 5.9 | -0.6 pts |
| 93 | Sachsen-Anhalt | 5.9 | +0.3 pts |
| 94 | Severovýchod | 5.8 | -1.8 pts |
| 95 | Languedoc-Roussillon | 5.8 | -0.5 pts |
| 96 | Castile and León | 5.7 | -0.3 pts |
| 97 | Steiermark | 5.7 | -0.7 pts |
| 98 | Toscana | 5.7 | -1.3 pts |
| 99 | Prov. Limburg (BE) | 5.7 | +0.3 pts |
| 100 | Leipzig | 5.6 | +1 pts |
| 101 | Voreio Aigaio | 5.6 | -0.8 pts |
| 102 | La Réunion | 5.6 | 0 pts |
| 103 | Noord-Brabant | 5.6 | +1.2 pts |
| 103 | Oberösterreich | 5.6 | +0.7 pts |
| 105 | Prov. Liège | 5.6 | -0.7 pts |
| 106 | Navarre | 5.6 | -0.5 pts |
| 106 | Umbria | 5.6 | 0 pts |
| 106 | Weser-Ems | 5.6 | +0.4 pts |
| 106 | Zeeland | 5.6 | -0.4 pts |
| 110 | Vzhodna Slovenija | 5.5 | -0.8 pts |
| 111 | Molise | 5.5 | -3 pts |
| 112 | Kýpros | 5.5 | -1.5 pts |
| 113 | Basilicata | 5.4 | +0.7 pts |
| 114 | Praha | 5.4 | +1.7 pts |
| 114 | Yugozapaden | 5.4 | 0 pts |
| 116 | Chemnitz | 5.4 | +1.7 pts |
| 116 | Kärnten | 5.4 | -0.5 pts |
| 118 | Martinique | 5.4 | -2.7 pts |
| 119 | Centre - Val de Loire | 5.4 | -0.7 pts |
| 120 | Asturias | 5.4 | +0.7 pts |
| 121 | Mittelfranken | 5.3 | +1.4 pts |
| 121 | Region of Murcia | 5.3 | -1 pts |
| 123 | Overijssel | 5.3 | -0.3 pts |
| 124 | Brandenburg | 5.3 | +2.5 pts |
| 124 | Poitou-Charentes | 5.3 | -0.1 pts |
| 126 | Budapest | 5.3 | +0.6 pts |
| 127 | Bratislavský kraj | 5.3 | -1.1 pts |
| 127 | Oberfranken | 5.3 | +0.5 pts |
| 129 | Auvergne | 5.3 | -0.4 pts |
| 130 | Bourgogne | 5.2 | -1.3 pts |
| 131 | Puglia | 5.2 | -0.8 pts |
| 131 | Região Autónoma da Madeira | 5.2 | +0.8 pts |
| 133 | Drenthe | 5.1 | -0.2 pts |
| 134 | Lombardia | 5.1 | +0.4 pts |
| 135 | Kentriki Makedonia | 5 | -1 pts |
| 136 | Schwaben | 5 | -1 pts |
| 137 | Sicilia | 4.9 | +0.1 pts |
| 138 | Champagne-Ardenne | 4.9 | -0.4 pts |
| 139 | Prov. West-Vlaanderen | 4.9 | -0.7 pts |
| 139 | Trier | 4.9 | +0.2 pts |
| 141 | Catalonia | 4.9 | +0.4 pts |
| 142 | Thüringen | 4.8 | -0.4 pts |
| 143 | Basse-Normandie | 4.8 | -0.6 pts |
| 143 | Cantabria | 4.8 | +0.7 pts |
| 143 | Luxembourg | 4.8 | +1.4 pts |
| 146 | Koblenz | 4.8 | +0.3 pts |
| 147 | La Rioja | 4.8 | -1 pts |
| 148 | Friesland (NL) | 4.7 | -0.9 pts |
| 148 | Groningen | 4.7 | +1.2 pts |
| 148 | Midtjylland | 4.7 | -0 pts |
| 151 | Provence-Alpes-Côte d’Azur | 4.7 | -0.6 pts |
| 152 | Castilla-La Mancha | 4.7 | -1.7 pts |
| 153 | Lorraine | 4.7 | -0.6 pts |
| 154 | Thessalia | 4.7 | -4.3 pts |
| 155 | Zahodna Slovenija | 4.7 | -1.2 pts |
| 156 | Hannover | 4.6 | -0.4 pts |
| 157 | Picardie | 4.6 | -1.5 pts |
| 158 | Salzburg | 4.5 | -2.8 pts |
| 159 | Gelderland | 4.5 | -0.3 pts |
| 160 | Oberbayern | 4.4 | +0.1 pts |
| 161 | Prov. Oost-Vlaanderen | 4.4 | -0.1 pts |
| 162 | Nordjylland | 4.4 | +1.3 pts |
| 163 | Tübingen | 4.4 | -1.1 pts |
| 164 | Extremadura | 4.4 | -1.1 pts |
| 165 | Gießen | 4.4 | -1.3 pts |
| 166 | Aquitaine | 4.3 | -1 pts |
| 167 | Kassel | 4.3 | -0.4 pts |
| 168 | Norra Mellansverige | 4.3 | +1.1 pts |
| 169 | Stuttgart | 4.3 | +0.8 pts |
| 170 | Midi-Pyrénées | 4.3 | -0.6 pts |
| 171 | Dresden | 4.2 | +0.5 pts |
| 171 | Provincia Autonoma di Trento | 4.2 | -0.7 pts |
| 173 | Franche-Comté | 4.2 | -4.3 pts |
| 174 | Haute-Normandie | 4.2 | +0.4 pts |
| 175 | Schleswig-Holstein | 4.2 | +0.8 pts |
| 176 | Köln | 4.2 | +0.8 pts |
| 177 | Rheinhessen-Pfalz | 4.2 | +0.3 pts |
| 178 | Balearic Islands | 4.2 | -1.2 pts |
| 178 | Vorarlberg | 4.2 | -0 pts |
| 180 | Etelä-Suomi | 4.1 | -1.4 pts |
| 181 | Alsace | 4.1 | 0 pts |
| 182 | Oberpfalz | 4 | -0.7 pts |
| 183 | Darmstadt | 4 | +0.5 pts |
| 183 | Valencian Community | 4 | +0.1 pts |
| 185 | Pays de la Loire | 4 | -0.5 pts |
| 186 | Småland med öarna | 3.9 | +0.4 pts |
| 187 | Limburg (NL) | 3.9 | -0.1 pts |
| 188 | Prov. Brabant wallon | 3.8 | -0.1 pts |
| 188 | Unterfranken | 3.8 | -0.6 pts |
| 190 | Karlsruhe | 3.8 | -0.3 pts |
| 190 | Noord-Holland | 3.8 | +0.4 pts |
| 190 | Prov. Antwerpen | 3.8 | -0.8 pts |
| 190 | Sydsverige | 3.8 | +1.4 pts |
| 194 | Andalusia | 3.8 | -0.4 pts |
| 195 | Bretagne | 3.8 | -1.1 pts |
| 195 | Malta | 3.8 | -0.7 pts |
| 197 | Braunschweig | 3.7 | -1 pts |
| 197 | Detmold | 3.7 | 0 pts |
| 199 | Helsinki-Uusimaa | 3.7 | +0.4 pts |
| 199 | Münster | 3.7 | +0.1 pts |
| 201 | Västsverige | 3.6 | +1.3 pts |
| 202 | Syddanmark | 3.5 | -0.7 pts |
| 203 | Rhône-Alpes | 3.5 | -0.7 pts |
| 204 | Sjælland | 3.5 | +0.6 pts |
| 205 | Burgenland | 3.5 | -0.7 pts |
| 206 | Freiburg | 3.4 | -0.6 pts |
| 206 | Tirol | 3.4 | +0.1 pts |
| 208 | Östra Mellansverige | 3.4 | +1 pts |
| 209 | Liguria | 3.4 | +0.2 pts |
| 210 | Åland | 3.2 | -12.4 pts |
| 211 | Arnsberg | 3.2 | +0.2 pts |
| 212 | Prov. Vlaams-Brabant | 3.1 | -0.5 pts |
| 213 | Basque Country | 3.1 | -0.2 pts |
| 214 | Nord-Pas de Calais | 2.9 | +0.1 pts |
| 215 | Canary Islands | 2.9 | +0.3 pts |
| 216 | Hamburg | 2.9 | -0.2 pts |
| 217 | Berlin | 2.7 | +1 pts |
| 218 | Ile-de-France | 2.6 | -0.2 pts |
| 218 | Saarland | 2.6 | -0.1 pts |
| 220 | Düsseldorf | 2.6 | 0 pts |
| 221 | Campania | 2.5 | -0.5 pts |
| 222 | Community of Madrid | 2.5 | -0.1 pts |
| 223 | Northern and Western | 2.4 | -1.8 pts |
| 224 | Flevoland | 2.2 | +0.9 pts |
| 225 | Stockholm | 2.2 | -0.2 pts |
| 226 | Ceuta | 2.2 | +1.1 pts |
| 227 | Southern | 2.1 | -0.5 pts |
| 228 | Hovedstaden | 2.1 | -0.3 pts |
| 229 | Mayotte | 2 | -5.7 pts |
| 230 | Wien | 1.9 | -0.7 pts |
| 231 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 1.8 | -1.5 pts |
| 232 | Eastern and Midland | 1.7 | -1 pts |
| 233 | Bremen | 1.5 | -2 pts |
| 234 | Melilla | 1.2 | -3.4 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 V01 to V99 and Y85) 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).
Counted from death certificates by place of residence, so values differ from police counts of road deaths. road_traffic_death_rate (WHO) is an estimate without age standardisation. 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 2018 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 V_Y85 (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 V_Y85 (hlth_cd_asdr2) (EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018) [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 V_Y85 (hlth_cd_asdr2), EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/transport-accident-death-rate/eu-regions?period=2018. 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 V_Y85 (hlth_cd_asdr2). EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018. 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/transport-accident-death-rate/eu-regions?period=2018.
Harvard
Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V_Y85 (hlth_cd_asdr2), EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/transport-accident-death-rate/eu-regions?period=2018 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2018,
author = {{Eurostat, European Commission}},
title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V\_Y85 (hlth\_cd\_asdr2): EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018}},
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/transport-accident-death-rate/eu-regions?period=2018. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V\_Y85 (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 V_Y85 (hlth_cd_asdr2): EU regions (NUTS 2) by transport accident death rate (age-standardised), 2018
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/transport-accident-death-rate/eu-regions?period=2018
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/transport-accident-death-rate/eu-regions?period=2018.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V_Y85 (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 transport accident death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_transport_accidents","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_transport_accidents&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest transport accident death rate (age-standardised)?
Vest, with 17.5 per 100,000 people in 2018, according to Eurostat, European Commission.
Which region has the lowest transport accident death rate (age-standardised)?
Melilla, with 1.2 per 100,000 people in 2018.
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 V_Y85 (hlth_cd_asdr2). Retrieved 2026-10-12. 10 regions have no value for 2018 and are not ranked.
Transport accident death rate (age-standardised): other rankings
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