EU regions (NUTS 2) by people using social networks, 2025
Nordjylland had the highest people using social networks of 190 regions in 2025, at 91.1%. Calabria had the lowest, at 45.5%. The median was 69.4% and the figure for the European Union (27) was 67.3%. Source: Eurostat, European Commission.
Top 40 regions, 2025
Full ranking
| Rank | Regions | 2025 (%) | Change on 2024 |
|---|---|---|---|
| 1 | Nordjylland | 91.1 | -0.4 pts |
| 2 | Hovedstaden | 90.7 | -0.2 pts |
| 3 | Syddanmark | 90.5 | +1 pts |
| 4 | Midtjylland | 89.2 | -0.2 pts |
| 5 | Kýpros | 86.5 | -0.3 pts |
| 6 | Sjælland | 85.9 | -3 pts |
| 7 | Drenthe | 84.5 | +3.4 pts |
| 8 | Helsinki-Uusimaa | 84.5 | +0.4 pts |
| 9 | Nord-Est | 83.2 | +7.2 pts |
| 10 | Zeeland | 83.2 | +4.3 pts |
| 11 | Limburg (NL) | 83 | +5.1 pts |
| 12 | Noord-Holland | 82.8 | +1.5 pts |
| 13 | Zuid-Holland | 82.7 | +1 pts |
| 14 | Malta | 82.4 | +5.2 pts |
| 15 | Budapest | 81.7 | -0.2 pts |
| 16 | Länsi-Suomi | 81.6 | +5 pts |
| 17 | Közép-Dunántúl | 81.4 | -0.6 pts |
| 18 | Centru | 81.1 | +4.1 pts |
| 19 | Bucureşti-Ilfov | 81 | +12.1 pts |
| 20 | Noord-Brabant | 80.7 | +1.1 pts |
| 21 | Etelä-Suomi | 80.4 | +3.6 pts |
| 22 | Overijssel | 80.2 | +0.4 pts |
| 23 | Eastern and Midland | 80.2 | +5.6 pts |
| 24 | Gelderland | 79.9 | +2.5 pts |
| 25 | Sud-Muntenia | 79.8 | +0.5 pts |
| 26 | Southern | 79.7 | +5.1 pts |
| 27 | Northern and Western | 79.6 | +5.3 pts |
| 28 | Severoiztochen | 79.5 | +6.8 pts |
| 29 | Latvija | 79.3 | +5.2 pts |
| 30 | Groningen | 78.8 | -1.8 pts |
| 31 | Nord-Vest | 78.7 | -1.4 pts |
| 32 | Flevoland | 78.4 | -4.6 pts |
| 33 | Észak-Magyarország | 78.3 | -2 pts |
| 34 | Praha | 78.1 | +6.1 pts |
| 35 | Utrecht | 78 | -1.3 pts |
| 36 | Pest | 77.9 | -2.5 pts |
| 37 | Dél-Alföld | 77.5 | -1.2 pts |
| 37 | Sud-Vest Oltenia | 77.5 | +10.4 pts |
| 39 | Dél-Dunántúl | 77.4 | -5.4 pts |
| 40 | Friesland (NL) | 77.4 | -0.2 pts |
| 41 | Sud-Est | 77.4 | +5 pts |
| 42 | Pohjois- ja Itä-Suomi | 77.3 | +1.1 pts |
| 43 | Észak-Alföld | 77.2 | -2.9 pts |
| 44 | Nord-Pas de Calais Low reliability | 77.2 | |
| 45 | Nyugat-Dunántúl | 76.4 | -6.2 pts |
| 46 | Stockholm | 76 | +0.1 pts |
| 47 | Sydsverige | 75.5 | +2.2 pts |
| 48 | Övre Norrland | 75.5 | +8.1 pts |
| 49 | Mellersta Norrland | 75.3 | +4.1 pts |
| 50 | Moravskoslezsko | 75.2 | +2.7 pts |
| 51 | Grande Lisboa | 75.1 | +0.1 pts |
| 52 | Vest | 74.9 | -0.4 pts |
| 53 | Västsverige | 74.4 | +0.5 pts |
| 54 | Região Autónoma dos Açores | 74.3 | +3.1 pts |
| 55 | Östra Mellansverige | 74.2 | +2.4 pts |
| 56 | Pays de la Loire Low reliability | 74.1 | |
| 57 | Wien | 74.1 | +2 pts |
| 58 | Norra Mellansverige | 74 | +4 pts |
| 59 | Yugoiztochen | 74 | +7.6 pts |
| 60 | Península de Setúbal | 73.8 | +0.4 pts |
| 61 | Sostinės regionas | 73.6 | +3.1 pts |
| 62 | Centre - Val de Loire Low reliability | 73.5 | |
| 63 | Ceuta | 73.4 | +9.2 pts |
| 64 | Haute-Normandie Low reliability | 73.4 | |
| 65 | Provence-Alpes-Côte d’Azur Low reliability | 72.9 | |
| 65 | Warszawski stołeczny | 72.9 | +7.1 pts |
| 67 | Balearic Islands | 72.9 | +6 pts |
| 68 | Prov. Oost-Vlaanderen | 72.8 | -2.9 pts |
| 69 | Oeste e Vale do Tejo | 72.8 | +4.4 pts |
| 70 | Severozapaden | 72.6 | +5.4 pts |
| 71 | Eesti | 72.6 | +4.1 pts |
| 72 | Yugozapaden | 72.6 | +6 pts |
| 73 | Aquitaine Low reliability | 72.5 | |
| 74 | Bratislavský kraj | 72.4 | +10.1 pts |
| 75 | Catalonia | 72.3 | +4.7 pts |
| 76 | Corse Low reliability | 72.3 | |
| 77 | Ile-de-France Low reliability | 72.2 | |
| 78 | Småland med öarna | 72.1 | -1.3 pts |
| 79 | Region of Murcia | 72.1 | +6.3 pts |
| 80 | Střední Morava | 71.7 | +4.7 pts |
| 81 | Severovýchod | 71.3 | +0.2 pts |
| 82 | Valencian Community | 71.1 | +5.3 pts |
| 83 | Community of Madrid | 70.9 | +3.6 pts |
| 84 | Basse-Normandie Low reliability | 70.9 | |
| 85 | Dolnośląskie | 70.8 | +10.3 pts |
| 86 | Aragon | 70.5 | +9.8 pts |
| 87 | Champagne-Ardenne Low reliability | 70.3 | |
| 88 | Tirol | 70.3 | +9.6 pts |
| 89 | Rhône-Alpes Low reliability | 70.2 | |
| 90 | Prov. Luxembourg (BE) | 69.8 | -3 pts |
| 91 | Algarve | 69.7 | -3.6 pts |
| 91 | Severozápad | 69.7 | -1.6 pts |
| 93 | Andalusia | 69.7 | +3.4 pts |
| 94 | Bretagne Low reliability | 69.6 | |
| 95 | Severen tsentralen | 69.4 | -0.1 pts |
| 96 | Alsace Low reliability | 69.3 | |
| 97 | Picardie Low reliability | 69.3 | |
| 98 | Prov. Limburg (BE) | 69.1 | -6.5 pts |
| 99 | Vidurio ir vakarų Lietuvos regionas | 68.8 | -0.8 pts |
| 100 | Lorraine Low reliability | 68.8 | |
| 101 | Poitou-Charentes Low reliability | 68.7 | |
| 102 | Norte | 68.7 | -0.9 pts |
| 103 | Extremadura | 68.6 | +4.6 pts |
| 104 | Prov. Antwerpen | 68.6 | -4.6 pts |
| 105 | Mazowiecki regionalny | 68.6 | +3.2 pts |
| 106 | Região Autónoma da Madeira | 68.5 | +0.1 pts |
| 107 | Auvergne Low reliability | 68.5 | |
| 108 | La Réunion Low reliability | 68.5 | |
| 108 | Prov. Namur | 68.5 | +0.1 pts |
| 110 | Castilla-La Mancha | 68.4 | +3.9 pts |
| 111 | Oberösterreich | 68.3 | +3.6 pts |
| 112 | Midi-Pyrénées Low reliability | 67.8 | |
| 113 | Kujawsko-pomorskie | 67.7 | +5.2 pts |
| 114 | Cantabria | 67.7 | +8.1 pts |
| 115 | Alentejo | 67.5 | -2 pts |
| 116 | Prov. Liège | 67.5 | -3.1 pts |
| 117 | Prov. Vlaams-Brabant | 67.4 | -7.8 pts |
| 118 | Luxembourg | 67.3 | -0.4 pts |
| 119 | La Rioja | 67.2 | +6 pts |
| 120 | Jihozápad | 67 | -1.5 pts |
| 121 | Castile and León | 66.6 | +7.9 pts |
| 122 | Centro (PT) | 66.6 | +0.4 pts |
| 123 | Canary Islands | 66.6 | +1.8 pts |
| 124 | Asturias | 66.5 | +6.2 pts |
| 125 | Zahodna Slovenija | 66.4 | +3.4 pts |
| 126 | Prov. Brabant wallon | 66.4 | -7.7 pts |
| 127 | Bourgogne Low reliability | 66.3 | |
| 128 | Prov. West-Vlaanderen | 66.3 | -4.3 pts |
| 129 | Steiermark | 66 | +5.9 pts |
| 130 | Wielkopolskie | 66 | +0.9 pts |
| 131 | Vorarlberg | 65.7 | -1.5 pts |
| 132 | Galicia | 65.7 | +4.5 pts |
| 133 | Warmińsko-mazurskie | 65.7 | +8.7 pts |
| 134 | Grad Zagreb | 65.7 | +1.5 pts |
| 134 | Jihovýchod | 65.7 | -3.1 pts |
| 136 | Niederösterreich | 65.6 | +2.5 pts |
| 137 | Languedoc-Roussillon Low reliability | 64.7 | |
| 138 | Vzhodna Slovenija | 64.5 | -1.4 pts |
| 139 | Střední Čechy | 64.5 | -6.5 pts |
| 140 | Limousin Low reliability | 64.4 | |
| 141 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 64.3 | -3.6 pts |
| 142 | Sjeverna Hrvatska | 63.7 | +3.2 pts |
| 143 | Prov. Hainaut | 63.7 | -6.2 pts |
| 144 | Guyane Low reliability | 63.5 | |
| 145 | Východné Slovensko | 63.4 | +5.5 pts |
| 146 | Łódzkie | 63.4 | +3.4 pts |
| 147 | Zachodniopomorskie | 63.3 | +6.1 pts |
| 148 | Guadeloupe Low reliability | 63.3 | |
| 149 | Navarre | 63.2 | +4.4 pts |
| 150 | Burgenland | 63 | +6 pts |
| 151 | Salzburg | 62.6 | -1.4 pts |
| 152 | Śląskie | 62.4 | -6.8 pts |
| 153 | Basque Country | 62.4 | +8.4 pts |
| 154 | Martinique Low reliability | 61.8 | |
| 155 | Opolskie | 61.6 | +10.6 pts |
| 156 | Yuzhen tsentralen | 61.4 | +8.3 pts |
| 157 | Západné Slovensko | 61.1 | +4.2 pts |
| 158 | Kärnten | 61 | -1 pts |
| 159 | Emilia-Romagna | 60.9 | +2.1 pts |
| 160 | Małopolskie | 60.6 | +1.5 pts |
| 161 | Franche-Comté Low reliability | 60.4 | |
| 162 | Lazio | 59.9 | +0.9 pts |
| 163 | Lubuskie | 59.7 | +3.4 pts |
| 164 | Lombardia | 59.6 | +1.1 pts |
| 165 | Lubelskie | 59.4 | +0.2 pts |
| 166 | Toscana | 58.5 | -0.3 pts |
| 167 | Melilla | 57.7 | -2.3 pts |
| 168 | Liguria | 57.6 | +1.4 pts |
| 169 | Jadranska Hrvatska | 57.5 | -3.3 pts |
| 170 | Podkarpackie | 57.4 | +6.4 pts |
| 171 | Sardegna | 57.3 | +2.9 pts |
| 172 | Pomorskie | 56.9 | -4 pts |
| 173 | Marche | 56.9 | +0.4 pts |
| 174 | Friuli-Venezia Giulia | 56.4 | +1 pts |
| 175 | Provincia Autonoma di Trento | 56.2 | +1.3 pts |
| 176 | Stredné Slovensko | 55.4 | +1.1 pts |
| 177 | Abruzzo | 54.9 | -1.7 pts |
| 178 | Piemonte | 54.8 | -0.8 pts |
| 178 | Puglia | 54.8 | -0.4 pts |
| 180 | Podlaskie | 54.4 | +0.3 pts |
| 181 | Umbria | 54.3 | -1.5 pts |
| 182 | Sicilia | 53.9 | +3.7 pts |
| 183 | Świętokrzyskie | 53.8 | -0.1 pts |
| 184 | Campania | 53.7 | +1.1 pts |
| 185 | Veneto | 53.6 | -3.9 pts |
| 186 | Valle d’Aosta/Vallée d’Aoste | 53.6 | +1.3 pts |
| 187 | Provincia Autonoma di Bolzano/Bozen | 53.2 | -2.6 pts |
| 188 | Molise | 51.1 | +0.5 pts |
| 189 | Basilicata | 50.7 | -3 pts |
| 190 | Calabria | 45.5 | -2.5 pts |
Other periods
- 2025
- 2023
About this ranking
Share of people aged 16 to 74 who took part in social networks (creating a user profile, posting messages or other contributions) in the 3 months before the survey (Eurostat ICT usage survey).
A share of all people aged 16 to 74, not only of internet users. France changed its questionnaire in 2025 and Eurostat marks a break there.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. Equal values share a rank.
How to cite
Eurostat. Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i). https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i) (EU regions (NUTS 2) by people using social networks, 2025) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table
MLA 9
Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i), EU regions (NUTS 2) by people using social networks, 2025. Eurostat, European Commission, 17 Apr. 2026, https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table. Invokely, https://invokely.ai/rankings/social-network-use/eu-regions. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i). EU regions (NUTS 2) by people using social networks, 2025. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table. Also distributed by Invokely, https://invokely.ai/rankings/social-network-use/eu-regions.
Harvard
Eurostat, European Commission (2026) Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i), EU regions (NUTS 2) by people using social networks, 2025 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table, via Invokely: https://invokely.ai/rankings/social-network-use/eu-regions (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2025,
author = {{Eurostat, European Commission}},
title = {{Individuals who used the internet for participating in social networks by NUTS 2 region (isoc\_r\_iuse\_i): EU regions (NUTS 2) by people using social networks, 2025}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/social-network-use/eu-regions. Publisher attribution: Eurostat. Individuals who used the internet for participating in social networks by NUTS 2 region (isoc\_r\_iuse\_i). https://ec.europa.eu/eurostat/databrowser/view/isoc\_r\_iuse\_i/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i): EU regions (NUTS 2) by people using social networks, 2025
PY - 2026
DA - 2026/04/17
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/default/table
L2 - https://invokely.ai/rankings/social-network-use/eu-regions
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/social-network-use/eu-regions.
N1 - Publisher attribution: Eurostat. Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i). https://ec.europa.eu/eurostat/databrowser/view/isoc_r_iuse_i/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 people using social networks using official data, and cite the source.
rank_places {"indicator":"social_network_use_share","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=social_network_use_share&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest people using social networks?
Nordjylland, with 91.1% in 2025, according to Eurostat, European Commission.
Which region has the lowest people using social networks?
Calabria, with 45.5% in 2025.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Individuals who used the internet for participating in social networks by NUTS 2 region (isoc_r_iuse_i). Retrieved 2026-10-12.