EU regions (NUTS 2) by age-standardised death rate, all causes

Severozapaden had the highest age-standardised death rate, all causes of 234 regions in 2014, at 1,779.3 per 100,000 people. Community of Madrid had the lowest, at 713 per 100,000 people. The median was 971.3 per 100,000 people and the figure for the European Union (27) was 1,006.9 per 100,000 people. Source: Eurostat, European Commission.

Highest1,779.3Severozapaden

Lowest713Community of Madrid

Median971.3234 regions

European Union (27)1,006.9History

Top 40 regions, 2014

per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

Rank	Regions	2014 per 100,000 people	Change on 2013
1	Severozapaden	1,779.3	+61 pts
2	Severen tsentralen	1,738.1	+32.8 pts
3	Yugoiztochen	1,682.4	+2.8 pts
4	Severoiztochen	1,654.8	+3.7 pts
5	Észak-Magyarország	1,613.7	-23.7 pts
6	Vest	1,552.2	-72 pts
7	Yuzhen tsentralen	1,550.2	+10.9 pts
8	Sud-Vest Oltenia	1,532.4	-15.8 pts
9	Yugozapaden	1,524.7	+0.3 pts
10	Sud-Est	1,521.7	-33.8 pts
11	Nord-Vest	1,520.7	-96.6 pts
12	Sud-Muntenia	1,505.3	-45.5 pts
13	Észak-Alföld	1,496.1	-35.3 pts
14	Nord-Est	1,492.4	-57.5 pts
15	Dél-Alföld	1,491.7	-22.9 pts
16	Latvija	1,489.9	-77.5 pts
17	Dél-Dunántúl	1,467.2	-89.5 pts
18	Közép-Dunántúl	1,465.4	-84.6 pts
19	Nyugat-Dunántúl	1,442	-67.4 pts
20	Vidurio ir vakarų Lietuvos regionas	1,437.2	-86 pts
21	Pest	1,432.7	-105.2 pts
22	Sostinės regionas	1,431.9	-77.4 pts
23	Região Autónoma da Madeira	1,428.9	+159.6 pts
24	Centru	1,421.6	-73.1 pts
25	Severozápad	1,393	-121.6 pts
26	Região Autónoma dos Açores	1,376.4	-78 pts
27	Západné Slovensko	1,356.4	-92.9 pts
28	Bucureşti-Ilfov	1,354.1	-39.9 pts
29	Łódzkie	1,344.3	-88 pts
30	Stredné Slovensko	1,342.3	-129.3 pts
31	Moravskoslezsko	1,341.5	-69.4 pts
32	Východné Slovensko	1,327.9	-96.8 pts
33	Mazowiecki regionalny	1,308.8	-39.6 pts
34	Śląskie	1,277.8	-112.3 pts
35	Mayotte	1,277.4	n/a
36	Eesti	1,257.2	-47.3 pts
37	Lubuskie	1,244.9	-143.1 pts
38	Kujawsko-pomorskie	1,240.3	-103.9 pts
39	Dolnośląskie	1,235.7	-108.9 pts
40	Warmińsko-mazurskie	1,234.4	-153 pts
41	Świętokrzyskie	1,233.7	-74.1 pts
42	Střední Čechy	1,231.4	-146.3 pts
43	Lubelskie	1,226.1	-73.4 pts
44	Wielkopolskie	1,223.2	-123.6 pts
45	Budapest	1,221.9	-74.9 pts
46	Zachodniopomorskie	1,219.6	-141.5 pts
47	Jihozápad	1,215.8	-120.9 pts
48	Střední Morava	1,206.7	-123.9 pts
49	Opolskie	1,202.3	-137.2 pts
50	Severovýchod	1,195.7	-117.4 pts
51	Jadranska Hrvatska	1,194.3	+14 pts
52	Bratislavský kraj	1,191.4	-123.7 pts
53	Pomorskie	1,182.1	-74.6 pts
54	Podlaskie	1,168.8	-56.5 pts
55	Podkarpackie	1,145	-45.4 pts
56	Małopolskie	1,137.8	-100.5 pts
57	Prov. Hainaut	1,135.5	-83 pts
58	Jihovýchod	1,127.1	-102 pts
59	Sachsen-Anhalt	1,116.3	-70.1 pts
60	Praha	1,094.2	-60.8 pts
61	Prov. Namur	1,091.6	-93.7 pts
62	Warszawski stołeczny	1,090.1	-46.7 pts
63	Saarland	1,078.3	-74.9 pts
64	Arnsberg	1,074	-87.7 pts
65	Vzhodna Slovenija	1,070.6	-101.8 pts
66	Prov. Liège	1,066.5	-86.9 pts
67	Sjælland	1,063.6	-73.7 pts
68	Thüringen	1,051.6	-78.9 pts
69	Niederbayern	1,049.5	-47 pts
70	Koblenz	1,047.9	-58.4 pts
71	Mecklenburg-Vorpommern	1,044.2	-121.8 pts
72	Düsseldorf	1,042.5	-94.2 pts
73	Anatoliki Makedonia, Thraki	1,041.4	-63 pts
74	Mellersta Norrland	1,039.8	-16.3 pts
75	Oberfranken	1,038.4	-85.2 pts
76	Melilla	1,037	+12.5 pts
77	Lüneburg	1,035.7	-89.2 pts
78	Brandenburg	1,033.5	-95.8 pts
79	Oberpfalz	1,031.8	-85.1 pts
80	Braunschweig	1,029.8	-76.3 pts
81	Pohjois- ja Itä-Suomi	1,028.4	-34.3 pts
82	Chemnitz	1,027.8	-86 pts
83	Bremen	1,027.2	-95.4 pts
84	Weser-Ems	1,025.4	-104.7 pts
85	Hannover	1,024.4	-54.4 pts
86	Münster	1,020.9	-74.6 pts
87	Hovedstaden	1,018.9	-70.2 pts
88	Groningen	1,018.7	-54.5 pts
89	Nordjylland	1,018.2	-87.2 pts
90	Schleswig-Holstein	1,017.1	-86.8 pts
91	Syddanmark	1,012.2	-54.3 pts
92	Leipzig	1,010.3	-80.9 pts
93	Southern	1,010.2	-86.1 pts
94	Mittelfranken	1,010.1	-57.2 pts
95	Prov. Luxembourg (BE)	1,008.1	-113.5 pts
96	Köln	1,006.8	-80.7 pts
97	Burgenland	1,004	-62.3 pts
98	Ceuta	1,002.9	-124.9 pts
99	Gießen	999.6	-78.1 pts
100	Algarve	998.6	-50.6 pts
101	Trier	997.7	-61.8 pts
102	Övre Norrland	996.5	-61.7 pts
103	Kassel	996.2	-104.8 pts
104	Kentriki Makedonia	990.1	-26.7 pts
105	Rheinhessen-Pfalz	989.5	-93.2 pts
106	Etelä-Suomi	987.5	-48.3 pts
107	Wien	987.5	-54.2 pts
108	Nord-Pas de Calais	986.5	-90.9 pts
109	Berlin	983.6	-65.8 pts
110	Midtjylland	979.2	-60.1 pts
111	Overijssel	978.9	-77.1 pts
112	Länsi-Suomi	978.3	-4.7 pts
113	Hamburg	978	-61.6 pts
114	Niederösterreich	977.5	-76.5 pts
115	Campania	976.7	-60.8 pts
116	Ionia Nisia	975.7	-16.3 pts
117	Detmold	971.9	-72.6 pts
118	Notio Aigaio	970.7	+30.2 pts
119	Kýpros	965.4	-3.1 pts
120	Dytiki Elláda	964.3	-39.9 pts
121	Limburg (NL)	962.5	-75 pts
122	Noord-Brabant	960.1	-62.5 pts
123	Unterfranken	960	-94 pts
124	Norra Mellansverige	958.9	-48.5 pts
125	Northern and Western	958	-55.1 pts
126	Norte	957.1	-66.5 pts
127	Thessalia	955.1	-16.6 pts
128	Friesland (NL)	952.3	-71.1 pts
129	Dresden	952.2	-77.8 pts
130	Eastern and Midland	951.5	-66.5 pts
131	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	951.3	-53.4 pts
132	Picardie	949.4	-71.6 pts
133	Karlsruhe	945.7	-63.4 pts
134	Gelderland	945.1	-73.4 pts
135	Schwaben	945	-79.3 pts
136	Attiki	945	-24.7 pts
137	Voreio Aigaio	942.6	-2.5 pts
138	Darmstadt	940.1	-88.6 pts
139	Helsinki-Uusimaa	939.1	-31.5 pts
140	Sicilia	933.3	-33.9 pts
141	Noord-Holland	932	-65.3 pts
142	Prov. Brabant wallon	930.8	-24.3 pts
143	Freiburg	930.4	-52.2 pts
144	Andalusia	929.1	-47.4 pts
145	Drenthe	927	-85.3 pts
146	Steiermark	925.6	-40.9 pts
147	Sterea Elláda	923.5	-3.6 pts
148	Dytiki Makedonia	923.2	-81.4 pts
149	Kriti	922.5	-0.3 pts
150	Oberösterreich	922.1	-93.2 pts
151	Kärnten	916.9	-63.9 pts
152	Tübingen	913.3	-44.4 pts
153	Malta	912.7	-84.6 pts
154	La Réunion	912.7	-57.5 pts
155	Prov. Oost-Vlaanderen	912.1	-109 pts
156	Peloponnisos	910.9	-21.1 pts
157	Sydsverige	909.8	-49.8 pts
158	Zahodna Slovenija	909.4	-78.6 pts
159	Flevoland	909.3	-124.3 pts
160	Prov. Antwerpen	908.3	-85.5 pts
161	Stuttgart	906.9	-74.2 pts
162	Lorraine	902.3	-65.3 pts
163	Luxembourg	900.9	-57.4 pts
164	Västsverige	900.6	-43.9 pts
165	Östra Mellansverige	900	-64 pts
166	Haute-Normandie	899.2	-63.8 pts
167	Oberbayern	895.2	-68.1 pts
168	Champagne-Ardenne	887	-71.7 pts
169	Calabria	886.7	-20.9 pts
170	Småland med öarna	883.1	-52.8 pts
171	Asturias	882.7	-22.2 pts
172	Extremadura	882.3	-63.4 pts
173	Region of Murcia	879.7	-33 pts
174	Guyane	879.1	-16.1 pts
175	Prov. West-Vlaanderen	876.4	-100.7 pts
176	Stockholm	872.2	-8.3 pts
177	Canary Islands	871.5	-23.5 pts
178	Tirol	870	-52.3 pts
179	Prov. Vlaams-Brabant	869.7	-89.2 pts
180	Prov. Limburg (BE)	868.3	-101.5 pts
181	Valencian Community	868.2	-26.6 pts
182	Salzburg	866.1	-65.9 pts
183	Martinique	863.7	+72 pts
184	Åland	863	-90.3 pts
185	Basilicata	856.9	-35.4 pts
186	Bretagne	856.5	-72.6 pts
187	Balearic Islands	854.6	-28.9 pts
188	Lazio	854.4	-41 pts
189	Auvergne	853.8	-57.7 pts
190	Piemonte	853.4	-55.8 pts
191	Alsace	853.1	-68 pts
192	Puglia	844.5	-41.8 pts
193	Cantabria	844.5	+9.3 pts
194	Molise	843	-16.9 pts
195	Abruzzo	840.5	-45.7 pts
196	Basse-Normandie	839.8	-65.6 pts
197	Bourgogne	839	-61.7 pts
198	Limousin	837.9	-58.7 pts
199	Valle d’Aosta/Vallée d’Aoste	837.5	-31.2 pts
200	Franche-Comté	836.3	-40.8 pts
201	Liguria	835.4	-69.9 pts
202	Vorarlberg	833.2	-87.8 pts
203	Guadeloupe	833.1	+61.5 pts
204	Aragon	832	-6.8 pts
205	Zeeland	826.8	-104.7 pts
206	Sardegna	822.6	-49.2 pts
207	Centre - Val de Loire	819.2	-56.2 pts
208	Castilla-La Mancha	815.2	-26.8 pts
209	Languedoc-Roussillon	814.5	-41.1 pts
210	Friuli-Venezia Giulia	812.1	-72.2 pts
211	Galicia	810.5	-47.5 pts
212	Emilia-Romagna	808	-38.1 pts
213	Aquitaine	806.5	-39.7 pts
214	Ipeiros	806.2	-72.1 pts
215	Lombardia	805.4	-48.9 pts
216	Toscana	805.2	-50.7 pts
217	Catalonia	805.1	-35 pts
218	Corse	799.5	-55.2 pts
219	Veneto	799.3	-51.5 pts
220	Poitou-Charentes	794.9	-89.2 pts
221	Basque Country	791.3	-32.7 pts
222	Marche	791.2	-39.1 pts
223	Provence-Alpes-Côte d’Azur	786.8	-46.9 pts
224	Navarre	783.2	-6.8 pts
225	Umbria	781.3	-59.1 pts
226	Provincia Autonoma di Bolzano/Bozen	781.2	-29.8 pts
227	Pays de la Loire	780.1	-66.5 pts
228	La Rioja	773.9	-31.1 pts
229	Midi-Pyrénées	770	-45.6 pts
230	Castile and León	766.4	-18.6 pts
231	Rhône-Alpes	760.5	-51.8 pts
232	Provincia Autonoma di Trento	752.2	-62.6 pts
233	Ile-de-France	728.8	-49 pts
234	Community of Madrid	713	-38.7 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 A00 to Y89) 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).

For 2018 to 2021 Eurostat publishes the total under the code A-R_V-Y (all causes excluding S00 to T98, injury codes that are never an underlying cause); Invokely serves both codes as one series. For deaths per 1,000 people without age standardisation use crude_death_rate. 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 TOTAL (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

Eurostat, European Commission. (2026). Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2) (EU regions (NUTS 2) by age-standardised death rate, all causes, 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 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2014. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/standardised-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 TOTAL (hlth_cd_asdr2). EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-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 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2014 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/standardised-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 TOTAL (hlth\_cd\_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-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 TOTAL (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 TOTAL (hlth_cd_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-death-rate/eu-regions?period=2014
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/standardised-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 TOTAL (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
ER  -

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Questions

Which region has the highest age-standardised death rate, all causes?

Severozapaden, with 1,779.3 per 100,000 people in 2014, according to Eurostat, European Commission.

Which region has the lowest age-standardised death rate, all causes?

Community of Madrid, with 713 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 TOTAL (hlth_cd_asdr2). Retrieved 2026-10-12. 10 regions have no value for 2014 and are not ranked.