EU regions (NUTS 2) by transport accident death rate (age-standardised)
Świętokrzyskie had the highest transport accident death rate (age-standardised) of 236 regions in 2020, at 25.2 per 100,000 people. Eastern and Midland had the lowest, at 1.5 per 100,000 people. The median was 4.6 per 100,000 people and the figure for the European Union (27) was 4.9 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Świętokrzyskie | 25.2 | +7.1 pts |
| 2 | Lubelskie | 24.8 | +9.2 pts |
| 3 | Vest | 15.2 | -2.8 pts |
| 4 | Mazowiecki regionalny | 13.3 | -0.6 pts |
| 5 | Nord-Est | 12.8 | -1.1 pts |
| 6 | Podlaskie | 12.1 | -1.4 pts |
| 7 | Sud-Muntenia | 11.2 | -1.3 pts |
| 8 | Sud-Est | 11.2 | -2.7 pts |
| 9 | Sud-Vest Oltenia | 11 | -0.3 pts |
| 10 | Dolnośląskie | 11 | -0.9 pts |
| 11 | Lubuskie | 10 | -0.9 pts |
| 12 | Centru | 10 | -0.8 pts |
| 13 | Łódzkie | 9.9 | -0.3 pts |
| 13 | Nord-Vest | 9.9 | -0.6 pts |
| 15 | Wielkopolskie | 9.9 | -1.8 pts |
| 16 | Guadeloupe | 9.8 | -3.7 pts |
| 17 | Panonska Hrvatska | 9.7 | |
| 18 | Warmińsko-mazurskie | 9.7 | +0.2 pts |
| 19 | Dytiki Elláda | 9.3 | +0.3 pts |
| 20 | Peloponnisos | 9 | -0.9 pts |
| 21 | Prov. Luxembourg (BE) | 8.8 | -5.3 pts |
| 22 | Algarve | 8.7 | -6.1 pts |
| 23 | Latvija | 8.5 | -0.4 pts |
| 24 | Közép-Dunántúl | 8.4 | -1.9 pts |
| 25 | Notio Aigaio | 8.3 | -1.8 pts |
| 26 | Vidurio ir vakarų Lietuvos regionas | 8.2 | +0.7 pts |
| 27 | Severozapaden | 8.1 | -0.4 pts |
| 28 | Kujawsko-pomorskie | 8 | -3.1 pts |
| 28 | Podkarpackie | 8 | -1.1 pts |
| 30 | Região Autónoma dos Açores | 8 | -1.2 pts |
| 31 | Opolskie | 7.9 | -1.4 pts |
| 32 | Pomorskie | 7.9 | -0.9 pts |
| 33 | Jadranska Hrvatska | 7.7 | -1.3 pts |
| 34 | Molise | 7.7 | -0.3 pts |
| 35 | Dél-Alföld | 7.7 | -0.7 pts |
| 36 | Severen tsentralen | 7.6 | -0.6 pts |
| 37 | Yugoiztochen | 7.5 | -2.1 pts |
| 38 | Bratislavský kraj | 7.4 | -0.3 pts |
| 39 | Severozápad | 7.4 | +0.2 pts |
| 40 | Jihozápad | 7.3 | -1.2 pts |
| 41 | Martinique | 7.2 | +0.5 pts |
| 42 | Ipeiros | 7.2 | 0 pts |
| 43 | Dél-Dunántúl | 7.2 | -1.4 pts |
| 44 | Észak-Magyarország | 7 | -0.5 pts |
| 45 | Moravskoslezsko | 6.9 | +1 pts |
| 46 | Észak-Alföld | 6.8 | -2.1 pts |
| 47 | Západné Slovensko | 6.8 | -1 pts |
| 48 | Severoiztochen | 6.8 | -2.9 pts |
| 49 | Střední Čechy | 6.7 | -0.5 pts |
| 50 | Pest | 6.7 | -2.5 pts |
| 51 | Sterea Elláda | 6.6 | -1.4 pts |
| 52 | Stredné Slovensko | 6.6 | -1.2 pts |
| 53 | Kýpros | 6.4 | +0.1 pts |
| 54 | Severovýchod | 6.4 | -1.2 pts |
| 54 | Warszawski stołeczny | 6.4 | -1.6 pts |
| 56 | Sostinės regionas | 6.3 | -1.5 pts |
| 57 | Ionia Nisia | 6.3 | -3.5 pts |
| 58 | Pohjois- ja Itä-Suomi | 6.3 | +0.7 pts |
| 59 | Guyane | 6.3 | -6.9 pts |
| 60 | Prov. Brabant wallon | 6.3 | +0.2 pts |
| 61 | Drenthe | 6.2 | -1 pts |
| 62 | Sjeverna Hrvatska | 6.2 | |
| 63 | Jihovýchod | 6.2 | -1.5 pts |
| 64 | Attiki | 6.2 | -0.8 pts |
| 65 | Prov. Namur | 6.2 | -0.9 pts |
| 66 | Anatoliki Makedonia, Thraki | 5.9 | -0.3 pts |
| 66 | Střední Morava | 5.9 | -2 pts |
| 68 | Bucureşti-Ilfov | 5.9 | -1.3 pts |
| 69 | Vzhodna Slovenija | 5.9 | 0 pts |
| 70 | Thessalia | 5.8 | -0.3 pts |
| 71 | Prov. Hainaut | 5.7 | -0.4 pts |
| 72 | Niederbayern | 5.7 | -0.4 pts |
| 73 | Śląskie | 5.7 | -0.1 pts |
| 74 | Zahodna Slovenija | 5.6 | -0 pts |
| 75 | Friesland (NL) | 5.6 | -0 pts |
| 76 | Kärnten | 5.6 | -0.6 pts |
| 77 | Sardegna | 5.6 | +0.3 pts |
| 78 | Nyugat-Dunántúl | 5.5 | -2.2 pts |
| 79 | Poitou-Charentes | 5.5 | +0.2 pts |
| 79 | Zachodniopomorskie | 5.5 | -1.4 pts |
| 81 | Zeeland | 5.4 | +1.3 pts |
| 82 | Marche | 5.4 | -1.7 pts |
| 83 | Mellersta Norrland | 5.4 | -2.8 pts |
| 84 | Abruzzo | 5.3 | -0.4 pts |
| 84 | Eesti | 5.3 | +1 pts |
| 86 | Länsi-Suomi | 5.3 | +0.7 pts |
| 87 | Kentriki Makedonia | 5.3 | -0.8 pts |
| 88 | Niederösterreich | 5.2 | -1 pts |
| 89 | Yuzhen tsentralen | 5.2 | -2.7 pts |
| 90 | Norte | 5.2 | -1.7 pts |
| 91 | Sachsen-Anhalt | 5.2 | -0.4 pts |
| 92 | Yugozapaden | 5.1 | -1.9 pts |
| 93 | Gießen | 5.1 | -0.3 pts |
| 94 | Aragon | 5.1 | +0.7 pts |
| 94 | Galicia | 5.1 | -0.5 pts |
| 96 | Emilia-Romagna | 5 | -2 pts |
| 97 | Steiermark | 5 | -0.1 pts |
| 98 | Schwaben | 5 | +1.1 pts |
| 99 | Syddanmark | 4.9 | +0.3 pts |
| 100 | Mecklenburg-Vorpommern | 4.9 | -0.5 pts |
| 100 | Umbria | 4.9 | -0.8 pts |
| 102 | Overijssel | 4.9 | +0.3 pts |
| 103 | Východné Slovensko | 4.9 | -2.4 pts |
| 104 | Grad Zagreb | 4.9 | |
| 105 | Prov. Limburg (BE) | 4.9 | -2.1 pts |
| 105 | Salzburg | 4.9 | -0.4 pts |
| 105 | Veneto | 4.9 | -1.8 pts |
| 108 | Lüneburg | 4.8 | -1.5 pts |
| 109 | Brandenburg | 4.8 | +0.2 pts |
| 109 | Prov. Liège | 4.8 | -0.8 pts |
| 111 | Weser-Ems | 4.8 | -0.8 pts |
| 112 | Kriti | 4.7 | -4 pts |
| 112 | La Réunion | 4.7 | +0.8 pts |
| 114 | Franche-Comté | 4.7 | +0.6 pts |
| 114 | Voreio Aigaio | 4.7 | -3.9 pts |
| 116 | Castile and León | 4.7 | -0 pts |
| 116 | Piemonte | 4.7 | -0.8 pts |
| 118 | Groningen | 4.6 | +0.5 pts |
| 119 | Basse-Normandie | 4.6 | -0.4 pts |
| 119 | Castilla-La Mancha | 4.6 | -0.4 pts |
| 121 | Provincia Autonoma di Bolzano/Bozen | 4.5 | -2.2 pts |
| 122 | Oberpfalz | 4.5 | -0.2 pts |
| 123 | Etelä-Suomi | 4.5 | -1.4 pts |
| 124 | Prov. West-Vlaanderen | 4.4 | -0.7 pts |
| 125 | Dresden | 4.3 | +1.8 pts |
| 126 | Melilla | 4.3 | +3.3 pts |
| 127 | Toscana | 4.3 | -1.2 pts |
| 128 | Oberbayern | 4.3 | -0.2 pts |
| 129 | Auvergne | 4.3 | -1.5 pts |
| 129 | Limburg (NL) | 4.3 | +0.8 pts |
| 131 | Praha | 4.3 | +1.5 pts |
| 132 | Bourgogne | 4.3 | -0.8 pts |
| 132 | Languedoc-Roussillon | 4.3 | -1.2 pts |
| 132 | Oberösterreich | 4.3 | -1.2 pts |
| 135 | Dytiki Makedonia | 4.2 | -1.4 pts |
| 136 | Champagne-Ardenne | 4.2 | -1.1 pts |
| 136 | Noord-Brabant | 4.2 | -1.5 pts |
| 138 | Lazio | 4.2 | -1.1 pts |
| 139 | La Rioja | 4.1 | -1.1 pts |
| 140 | Mayotte | 4.1 | -1 pts |
| 141 | Trier | 4.1 | +0.6 pts |
| 142 | Midtjylland | 4.1 | -0.4 pts |
| 143 | Valle d’Aosta/Vallée d’Aoste | 4.1 | +2 pts |
| 144 | Thüringen | 4 | -0.3 pts |
| 145 | Burgenland | 4 | -3 pts |
| 146 | Sicilia | 4 | -1 pts |
| 147 | Andalusia | 4 | -0.1 pts |
| 147 | Puglia | 4 | -1.1 pts |
| 149 | Picardie | 4 | -0.1 pts |
| 150 | Leipzig | 3.9 | -0.3 pts |
| 151 | Região Autónoma da Madeira | 3.9 | -1.4 pts |
| 152 | Kassel | 3.9 | -0.9 pts |
| 153 | Region of Murcia | 3.9 | -0.8 pts |
| 153 | Schleswig-Holstein | 3.9 | -0 pts |
| 155 | Gelderland | 3.9 | -0.9 pts |
| 155 | Provincia Autonoma di Trento | 3.9 | -0.3 pts |
| 157 | Flevoland | 3.8 | -1.7 pts |
| 157 | Prov. Oost-Vlaanderen | 3.8 | -0.7 pts |
| 159 | Oberfranken | 3.8 | 0 pts |
| 160 | Norra Mellansverige | 3.8 | +0.9 pts |
| 161 | Friuli-Venezia Giulia | 3.8 | -1.9 pts |
| 162 | Małopolskie | 3.7 | -2.3 pts |
| 163 | Extremadura | 3.7 | +0.2 pts |
| 164 | Freiburg | 3.7 | -0.7 pts |
| 164 | Tirol | 3.7 | -0.7 pts |
| 166 | Hannover | 3.7 | -0.8 pts |
| 167 | Navarre | 3.7 | -1.6 pts |
| 168 | Midi-Pyrénées | 3.7 | -0.7 pts |
| 169 | Canary Islands | 3.6 | +0.4 pts |
| 169 | Karlsruhe | 3.6 | -0.3 pts |
| 169 | Nordjylland | 3.6 | -2 pts |
| 172 | Luxembourg | 3.6 | -0.4 pts |
| 172 | Unterfranken | 3.6 | -0.7 pts |
| 174 | Budapest | 3.6 | -0.7 pts |
| 175 | Ceuta | 3.6 | +1.4 pts |
| 175 | Prov. Antwerpen | 3.6 | -0.7 pts |
| 177 | Koblenz | 3.5 | -0.5 pts |
| 178 | Noord-Holland | 3.5 | +0.3 pts |
| 179 | Centre - Val de Loire | 3.5 | -1.2 pts |
| 180 | Vorarlberg | 3.4 | +0.4 pts |
| 181 | Bremen | 3.4 | +1.4 pts |
| 182 | Aquitaine | 3.4 | -0.8 pts |
| 182 | Provence-Alpes-Côte d’Azur | 3.4 | -1.1 pts |
| 184 | Mittelfranken | 3.3 | -0.4 pts |
| 185 | Lombardia | 3.3 | -1.7 pts |
| 185 | Southern | 3.3 | +0.9 pts |
| 187 | Detmold | 3.3 | -1.4 pts |
| 188 | Braunschweig | 3.3 | -1.2 pts |
| 189 | Tübingen | 3.2 | -1.5 pts |
| 189 | Valencian Community | 3.2 | -1.1 pts |
| 191 | Rhône-Alpes | 3.2 | -0.5 pts |
| 192 | Balearic Islands | 3.2 | -1.8 pts |
| 193 | Corse | 3.1 | -3.5 pts |
| 193 | Pays de la Loire | 3.1 | -0.6 pts |
| 195 | Cantabria | 3.1 | -1.6 pts |
| 195 | Helsinki-Uusimaa | 3.1 | -0.3 pts |
| 197 | Calabria | 3.1 | -2.2 pts |
| 197 | Catalonia | 3.1 | -1.1 pts |
| 199 | Arnsberg | 3.1 | +0.4 pts |
| 199 | Lorraine | 3.1 | -0.8 pts |
| 201 | Limousin | 3.1 | -1.3 pts |
| 201 | Münster | 3.1 | -0.7 pts |
| 203 | Basilicata | 3.1 | -3 pts |
| 204 | Stuttgart | 3 | -0.6 pts |
| 205 | Liguria | 3 | -0.8 pts |
| 206 | Småland med öarna | 2.9 | -0.4 pts |
| 207 | Northern and Western | 2.9 | +1.3 pts |
| 208 | Bretagne | 2.9 | -1 pts |
| 209 | Chemnitz | 2.9 | -1.7 pts |
| 210 | Darmstadt | 2.8 | -1.1 pts |
| 210 | Övre Norrland | 2.8 | -3.4 pts |
| 210 | Saarland | 2.8 | 0 pts |
| 210 | Sydsverige | 2.8 | +0.3 pts |
| 214 | Sjælland | 2.8 | -2.8 pts |
| 215 | Basque Country | 2.7 | -0.4 pts |
| 216 | Berlin | 2.6 | +1 pts |
| 217 | Düsseldorf | 2.6 | -0.1 pts |
| 217 | Malta | 2.6 | -1.2 pts |
| 219 | Haute-Normandie | 2.6 | -1.4 pts |
| 220 | Rheinhessen-Pfalz | 2.6 | -0.6 pts |
| 221 | Östra Mellansverige | 2.6 | -0.3 pts |
| 222 | Prov. Vlaams-Brabant | 2.5 | -1.9 pts |
| 223 | Alsace | 2.4 | -0.5 pts |
| 224 | Köln | 2.4 | -0.5 pts |
| 225 | Hovedstaden | 2.3 | -0.5 pts |
| 226 | Asturias | 2.3 | -1.9 pts |
| 227 | Västsverige | 2.2 | +0.5 pts |
| 228 | Ile-de-France | 2.1 | +0.1 pts |
| 229 | Community of Madrid | 2 | -0.9 pts |
| 230 | Campania | 1.9 | -0.4 pts |
| 231 | Wien | 1.9 | -0.4 pts |
| 232 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 1.8 | -0.5 pts |
| 233 | Nord-Pas de Calais | 1.8 | -1.2 pts |
| 234 | Stockholm | 1.6 | +0.2 pts |
| 235 | Hamburg | 1.5 | -0.9 pts |
| 236 | Eastern and Midland | 1.5 | +0.2 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. 8 regions with data in other periods have no value for 2020 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), 2020) [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), 2020. 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=2020. 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), 2020. 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=2020.
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), 2020 [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=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
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), 2020}},
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=2020. 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), 2020
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=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/transport-accident-death-rate/eu-regions?period=2020.
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=10Questions
Which region has the highest transport accident death rate (age-standardised)?
Świętokrzyskie, with 25.2 per 100,000 people in 2020, according to Eurostat, European Commission.
Which region has the lowest transport accident death rate (age-standardised)?
Eastern and Midland, with 1.5 per 100,000 people in 2020.
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. 8 regions have no value for 2020 and are not ranked.
Transport accident death rate (age-standardised): other rankings
EU regions (NUTS 2): more rankings
- Physicians per 10,000 people
- Alzheimer disease death rate (age-standardised)
- Death rate from stroke and other cerebrovascular diseases (age-standardised)
- Cancer death rate (age-standardised)
- Adults without upper secondary education, ages 25 to 64
- Road deaths per million inhabitants
- Population density
- Average net income per person