EU regions (NUTS 2) by suicide death rate (age-standardised)
Vidurio ir vakarų Lietuvos regionas had the highest suicide death rate (age-standardised) of 232 regions in 2013, at 39.4 per 100,000 people. Melilla had the lowest, at 1.3 per 100,000 people. The median was 12.5 per 100,000 people and the figure for the European Union (27) was 12.2 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Vidurio ir vakarų Lietuvos regionas | 39.4 | +5 pts |
| 2 | Dél-Alföld | 28.4 | -4.7 pts |
| 3 | Észak-Alföld | 27.5 | -4.8 pts |
| 4 | Sostinės regionas | 26.4 | +6.1 pts |
| 5 | Basse-Normandie | 25.6 | +0.8 pts |
| 6 | Bretagne | 25.3 | -0.6 pts |
| 7 | Vzhodna Slovenija | 25.1 | |
| 8 | Észak-Magyarország | 22.5 | +0.4 pts |
| 9 | Prov. Liège | 22.3 | -1.4 pts |
| 10 | Poitou-Charentes | 22.3 | +2.7 pts |
| 11 | Lubuskie | 22.2 | +4.4 pts |
| 12 | Dolnośląskie | 22.1 | +3.9 pts |
| 13 | Prov. Namur | 22 | -1.3 pts |
| 14 | Pays de la Loire | 21.6 | +1.9 pts |
| 15 | Pohjois- ja Itä-Suomi | 21.4 | +2.5 pts |
| 16 | Prov. West-Vlaanderen | 21.3 | +1.1 pts |
| 17 | Kujawsko-pomorskie | 21.1 | +0.7 pts |
| 18 | Dél-Dunántúl | 21 | -0.2 pts |
| 18 | Prov. Hainaut | 21 | -1.8 pts |
| 20 | Közép-Dunántúl | 20.1 | -1.6 pts |
| 21 | Mazowiecki regionalny | 19.9 | |
| 22 | Picardie | 19.4 | -0.1 pts |
| 23 | Nord-Pas de Calais | 19.3 | -2.7 pts |
| 24 | Lubelskie | 19.2 | |
| 25 | Latvija | 19 | -2.8 pts |
| 25 | Pest | 19 | -5.3 pts |
| 27 | Steiermark | 18.7 | -0 pts |
| 28 | Świętokrzyskie | 18.7 | |
| 29 | Podkarpackie | 18.6 | |
| 30 | Łódzkie | 18.6 | |
| 31 | Champagne-Ardenne | 18.5 | +0.6 pts |
| 32 | Centre - Val de Loire | 18.4 | -0.6 pts |
| 32 | Zachodniopomorskie | 18.4 | +1.5 pts |
| 34 | Kärnten | 18.4 | +1.7 pts |
| 35 | Prov. Luxembourg (BE) | 18.2 | -3.2 pts |
| 36 | Auvergne | 18.1 | -1.2 pts |
| 37 | Bourgogne | 18 | -0.2 pts |
| 37 | Severozápad | 18 | +0.3 pts |
| 39 | Střední Čechy | 17.9 | +0.8 pts |
| 40 | Pomorskie | 17.9 | +2.5 pts |
| 41 | Limousin | 17.7 | -2 pts |
| 42 | Zahodna Slovenija | 17.5 | |
| 43 | Algarve | 17.3 | +4.2 pts |
| 44 | Budapest | 17 | -1.6 pts |
| 45 | Eesti | 17 | -1.4 pts |
| 46 | Franche-Comté | 16.9 | -2.3 pts |
| 47 | Střední Morava | 16.5 | -0.5 pts |
| 48 | Länsi-Suomi | 16.4 | +1.2 pts |
| 49 | Centru | 16.2 | -3 pts |
| 50 | Chemnitz | 16 | +2.1 pts |
| 51 | Prov. Oost-Vlaanderen | 16 | -3.4 pts |
| 52 | Severovýchod | 15.9 | -0.4 pts |
| 53 | Aquitaine | 15.9 | -1 pts |
| 53 | Wielkopolskie | 15.9 | -1.9 pts |
| 55 | Haute-Normandie | 15.8 | +0.2 pts |
| 56 | Oberösterreich | 15.8 | +1.7 pts |
| 57 | Prov. Vlaams-Brabant | 15.7 | -0.1 pts |
| 58 | Małopolskie | 15.4 | -1.7 pts |
| 59 | Niederbayern | 15.3 | +0.5 pts |
| 60 | Etelä-Suomi | 15.2 | -1.6 pts |
| 61 | Groningen | 15.1 | +2.5 pts |
| 62 | Lorraine | 15.1 | -0.7 pts |
| 63 | Podlaskie | 15 | |
| 64 | Prov. Brabant wallon | 15 | -2.6 pts |
| 65 | Niederösterreich | 14.9 | -1 pts |
| 66 | Languedoc-Roussillon | 14.9 | -1 pts |
| 67 | Oberfranken | 14.8 | +2.2 pts |
| 68 | Prov. Antwerpen | 14.7 | -1.7 pts |
| 69 | Jihovýchod | 14.5 | +1.3 pts |
| 70 | Provence-Alpes-Côte d’Azur | 14.4 | +0.1 pts |
| 71 | Östra Mellansverige | 14.3 | +0.6 pts |
| 71 | Sachsen-Anhalt | 14.3 | +0.6 pts |
| 73 | Salzburg | 14.3 | -5.5 pts |
| 74 | Nord-Est | 14.2 | -0.5 pts |
| 75 | Leipzig | 14 | +0.5 pts |
| 76 | Moravskoslezsko | 13.9 | -1.1 pts |
| 77 | Valle d’Aosta/Vallée d’Aoste | 13.9 | +4.3 pts |
| 78 | Wien | 13.9 | +1.8 pts |
| 79 | Oberpfalz | 13.8 | +0.3 pts |
| 80 | Nord-Vest | 13.8 | -0.9 pts |
| 81 | Helsinki-Uusimaa | 13.7 | -0.3 pts |
| 82 | Freiburg | 13.5 | +0.4 pts |
| 82 | Mellersta Norrland | 13.5 | +3.6 pts |
| 84 | Schwaben | 13.5 | +0.4 pts |
| 85 | Gießen | 13.5 | -0.8 pts |
| 86 | Jihozápad | 13.5 | -2.6 pts |
| 87 | Midi-Pyrénées | 13.5 | +0.1 pts |
| 88 | Hannover | 13.4 | -0.3 pts |
| 88 | Mittelfranken | 13.4 | +0.8 pts |
| 90 | Dresden | 13.4 | -1.2 pts |
| 91 | Sjælland | 13.4 | -1.4 pts |
| 92 | Oberbayern | 13.2 | -0.6 pts |
| 93 | Friesland (NL) | 13.2 | +3 pts |
| 94 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 13.2 | -0.3 pts |
| 95 | Opolskie | 13.2 | -1.2 pts |
| 96 | Västsverige | 13.1 | +0.8 pts |
| 97 | Tirol | 13 | -1.4 pts |
| 98 | Nyugat-Dunántúl | 13 | -3.9 pts |
| 98 | Stockholm | 13 | +1.2 pts |
| 100 | Northern and Western | 12.9 | |
| 101 | Darmstadt | 12.9 | +1.5 pts |
| 102 | Koblenz | 12.9 | +0.7 pts |
| 103 | Sydsverige | 12.9 | +1.1 pts |
| 104 | Småland med öarna | 12.9 | -1.5 pts |
| 105 | Vorarlberg | 12.8 | +1.3 pts |
| 106 | Prov. Limburg (BE) | 12.8 | -1.6 pts |
| 107 | La Réunion | 12.8 | +1.6 pts |
| 108 | Sud-Est | 12.8 | -0.8 pts |
| 109 | Severen tsentralen | 12.7 | -3.1 pts |
| 109 | Southern | 12.7 | |
| 111 | Stredné Slovensko | 12.7 | +2.7 pts |
| 111 | Tübingen | 12.7 | -0.4 pts |
| 113 | Bremen | 12.7 | +1 pts |
| 114 | Jadranska Hrvatska | 12.6 | -0.4 pts |
| 115 | Norra Mellansverige | 12.6 | +0.5 pts |
| 116 | Rhône-Alpes | 12.5 | -0 pts |
| 116 | Schleswig-Holstein | 12.5 | +0.2 pts |
| 118 | Kassel | 12.4 | -0.5 pts |
| 119 | Lüneburg | 12.4 | +1 pts |
| 120 | Karlsruhe | 12.2 | +0.6 pts |
| 121 | Stuttgart | 12.2 | +0.5 pts |
| 122 | Noord-Brabant | 12.2 | +0.9 pts |
| 123 | Saarland | 12.1 | +0.9 pts |
| 124 | Corse | 12.1 | +1.5 pts |
| 125 | Thüringen | 12.1 | -1.7 pts |
| 126 | Asturias | 12.1 | +1.4 pts |
| 127 | Rheinhessen-Pfalz | 12.1 | +0.7 pts |
| 128 | Burgenland | 12 | +0.9 pts |
| 129 | Praha | 11.9 | -4 pts |
| 130 | Yugoiztochen | 11.9 | -1.6 pts |
| 131 | Flevoland | 11.9 | -1.3 pts |
| 132 | Syddanmark | 11.8 | -0.4 pts |
| 133 | Brandenburg | 11.7 | +1.2 pts |
| 134 | Hamburg | 11.7 | -1 pts |
| 135 | Západné Slovensko | 11.7 | -0.5 pts |
| 135 | Zeeland | 11.7 | +0.5 pts |
| 137 | Alsace | 11.6 | +0.2 pts |
| 138 | Noord-Holland | 11.5 | +0.4 pts |
| 139 | Região Autónoma dos Açores | 11.5 | -0.4 pts |
| 140 | Hovedstaden | 11.5 | +0.5 pts |
| 140 | Trier | 11.5 | -1.4 pts |
| 142 | Drenthe | 11.4 | +1.6 pts |
| 142 | Nordjylland | 11.4 | -0.6 pts |
| 144 | Vest | 11.4 | +0.8 pts |
| 145 | Východné Slovensko | 11.3 | +1.1 pts |
| 146 | Mecklenburg-Vorpommern | 11.3 | +0.7 pts |
| 147 | Gelderland | 11.3 | 0 pts |
| 148 | Sud-Muntenia | 11.2 | +0.6 pts |
| 149 | Galicia | 11.1 | +0.1 pts |
| 150 | Braunschweig | 10.7 | -0.4 pts |
| 151 | Övre Norrland | 10.7 | -0.5 pts |
| 152 | Limburg (NL) | 10.7 | +0.9 pts |
| 153 | Yuzhen tsentralen | 10.6 | -2.7 pts |
| 154 | Detmold | 10.6 | +2.3 pts |
| 155 | Overijssel | 10.6 | -0.8 pts |
| 156 | Sud-Vest Oltenia | 10.4 | -0.5 pts |
| 157 | Unterfranken | 10.4 | -1.2 pts |
| 158 | Bratislavský kraj | 10.2 | +1.3 pts |
| 159 | Śląskie | 10.2 | -1.1 pts |
| 160 | Balearic Islands | 10.2 | +1.9 pts |
| 161 | Andalusia | 10.1 | +0.4 pts |
| 162 | Sardegna | 10.1 | +0.9 pts |
| 163 | Weser-Ems | 10 | +0.7 pts |
| 164 | Berlin | 9.9 | +0.3 pts |
| 165 | Provincia Autonoma di Bolzano/Bozen | 9.6 | -0.5 pts |
| 165 | Warszawski stołeczny | 9.6 | |
| 167 | Arnsberg | 9.5 | -0.4 pts |
| 168 | Luxembourg | 9.4 | -1.3 pts |
| 169 | Düsseldorf | 9.4 | +0.3 pts |
| 170 | Köln | 9.3 | -0.7 pts |
| 171 | Friuli-Venezia Giulia | 9.2 | +0.5 pts |
| 172 | Guadeloupe | 9.2 | -0.3 pts |
| 173 | Midtjylland | 9.1 | -3 pts |
| 174 | Severozapaden | 9 | -2.5 pts |
| 175 | Canary Islands | 9 | +0.1 pts |
| 176 | Castilla-La Mancha | 9 | +1.4 pts |
| 177 | Eastern and Midland | 9 | |
| 178 | Umbria | 8.9 | -0.2 pts |
| 179 | Ile-de-France | 8.5 | +0.1 pts |
| 180 | Piemonte | 8.5 | +0.1 pts |
| 181 | Münster | 8.3 | -0.8 pts |
| 182 | Marche | 8.3 | +0.8 pts |
| 183 | Provincia Autonoma di Trento | 8.3 | +1.6 pts |
| 184 | Severoiztochen | 8.1 | -2.7 pts |
| 185 | Navarre | 8 | +0.7 pts |
| 186 | Valencian Community | 7.9 | -0.1 pts |
| 187 | Basque Country | 7.8 | +0.1 pts |
| 188 | Emilia-Romagna | 7.7 | -1.1 pts |
| 189 | Kriti | 7.6 | +0.7 pts |
| 189 | Yugozapaden | 7.6 | -2 pts |
| 191 | Veneto | 7.6 | +0.5 pts |
| 192 | Guyane | 7.6 | -1.9 pts |
| 193 | Castile and León | 7.6 | +0.3 pts |
| 193 | Martinique | 7.6 | +1.9 pts |
| 195 | Dytiki Elláda | 7.5 | |
| 196 | La Rioja | 7.4 | -1.8 pts |
| 197 | Region of Murcia | 7.4 | -0.3 pts |
| 198 | Catalonia | 7.4 | +0.2 pts |
| 199 | Toscana | 7.1 | -0.2 pts |
| 200 | Warmińsko-mazurskie | 7 | -5.9 pts |
| 201 | Aragon | 6.9 | -0.1 pts |
| 202 | Abruzzo | 6.9 | -1 pts |
| 203 | Região Autónoma da Madeira | 6.8 | -1.5 pts |
| 204 | Lombardia | 6.8 | 0 pts |
| 205 | Basilicata | 6.7 | -2 pts |
| 206 | Extremadura | 6.4 | -0.2 pts |
| 207 | Bucureşti-Ilfov | 6.1 | +1.2 pts |
| 208 | Ipeiros | 6 | |
| 209 | Peloponnisos | 5.9 | |
| 210 | Lazio | 5.9 | +0.9 pts |
| 211 | Norte | 5.7 | -0.3 pts |
| 212 | Sicilia | 5.5 | -0.9 pts |
| 213 | Puglia | 5.4 | +0.4 pts |
| 214 | Voreio Aigaio | 5.3 | +1.1 pts |
| 215 | Community of Madrid | 5.2 | +3.7 pts |
| 216 | Kýpros | 5.2 | +1.4 pts |
| 217 | Cantabria | 5.1 | -1 pts |
| 218 | Thessalia | 5 | |
| 219 | Malta | 5 | -1.4 pts |
| 220 | Liguria | 4.9 | 0 pts |
| 221 | Ionia Nisia | 4.8 | |
| 222 | Calabria | 4.8 | +0.4 pts |
| 223 | Dytiki Makedonia | 4.7 | |
| 224 | Attiki | 4.6 | +0.2 pts |
| 225 | Ceuta | 4.6 | +0.8 pts |
| 226 | Anatoliki Makedonia, Thraki | 4.4 | |
| 227 | Notio Aigaio | 4.2 | +1 pts |
| 228 | Campania | 4 | -0.1 pts |
| 229 | Molise | 3.9 | -1.6 pts |
| 230 | Sterea Elláda | 3.9 | |
| 231 | Kentriki Makedonia | 3 | |
| 232 | Melilla | 1.3 | -9.8 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 X60 to X84 and Y87.0) 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).
suicide_rate (WHO) is a crude rate adjusted by WHO for under-reporting, so the two series differ. 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. 12 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 X60-X84_Y870 (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 X60-X84_Y870 (hlth_cd_asdr2) (EU regions (NUTS 2) by suicide 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 X60-X84_Y870 (hlth_cd_asdr2), EU regions (NUTS 2) by suicide 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/suicide-death-rate-age-standardised/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 X60-X84_Y870 (hlth_cd_asdr2). EU regions (NUTS 2) by suicide 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/suicide-death-rate-age-standardised/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 X60-X84_Y870 (hlth_cd_asdr2), EU regions (NUTS 2) by suicide 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/suicide-death-rate-age-standardised/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 X60-X84\_Y870 (hlth\_cd\_asdr2): EU regions (NUTS 2) by suicide 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/suicide-death-rate-age-standardised/eu-regions?period=2013. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84\_Y870 (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 X60-X84_Y870 (hlth_cd_asdr2): EU regions (NUTS 2) by suicide 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/suicide-death-rate-age-standardised/eu-regions?period=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/suicide-death-rate-age-standardised/eu-regions?period=2013.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84_Y870 (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 suicide death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_suicide","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_suicide&level=region&within=European%20Union%20(27)&limit=10Questions
Which region has the highest suicide death rate (age-standardised)?
Vidurio ir vakarų Lietuvos regionas, with 39.4 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest suicide death rate (age-standardised)?
Melilla, with 1.3 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 X60-X84_Y870 (hlth_cd_asdr2). Retrieved 2026-10-12. 12 regions have no value for 2013 and are not ranked.
Suicide death rate (age-standardised): other rankings
EU regions (NUTS 2): more rankings
- Physicians per 10,000 people
- Death rate from external causes (age-standardised)
- Cancer death rate (age-standardised)
- Infant mortality rate
- Average annual household spending, total (Spain)
- Net migration rate including statistical adjustment
- Average annual household spending on housing, water, electricity, gas and other fuels (Spain)
- Average annual household spending on restaurants and accommodation services (Spain)