EU regions (NUTS 2) by long-term unemployment rate
Ceuta had the highest long-term unemployment rate of 228 regions in 2014, at 22.9%. Praha had the lowest, at 0.8%. The median was 4% and the figure for the European Union (27) was 5.4%. Source: Eurostat, European Commission.
Top 40 regions, 2014
Full ranking
| Rank | Regions | 2014 (%) | Change on 2013 |
|---|---|---|---|
| 1 | Ceuta | 22.9 | +0.2 pts |
| 2 | Dytiki Elláda | 22.1 | +1.5 pts |
| 3 | Kentriki Makedonia | 21.7 | +0.9 pts |
| 4 | Attiki | 21.2 | +1.4 pts |
| 5 | Ipeiros | 20.3 | +3.1 pts |
| 6 | Canary Islands | 19.4 | +0.7 pts |
| 6 | Sterea Elláda | 19.4 | -0.6 pts |
| 8 | Melilla | 18.9 | +0.7 pts |
| 9 | Thessalia | 18.8 | +1.8 pts |
| 10 | Andalusia | 17.4 | 0 pts |
| 10 | La Réunion | 17.4 | -2.4 pts |
| 12 | Peloponnisos | 17.3 | +1.6 pts |
| 13 | Anatoliki Makedonia, Thraki | 17.2 | -1.2 pts |
| 14 | Dytiki Makedonia | 16.6 | -4.1 pts |
| 15 | Guadeloupe | 16.4 | -4.4 pts |
| 16 | Castilla-La Mancha | 15.9 | -0.4 pts |
| 17 | Calabria | 15.8 | +1.5 pts |
| 18 | Mayotte | 15.4 | 0 pts |
| 18 | Sicilia | 15.4 | +1.7 pts |
| 20 | Kriti | 15.2 | +1.1 pts |
| 21 | Campania | 15.1 | +0.6 pts |
| 22 | Voreio Aigaio | 15 | +0.1 pts |
| 23 | Guyane | 13.9 | -2.6 pts |
| 24 | Extremadura | 13.8 | -1.5 pts |
| 24 | Puglia | 13.8 | +2.3 pts |
| 26 | Valencian Community | 13.7 | -0.1 pts |
| 27 | Region of Murcia | 13.5 | +0.3 pts |
| 28 | Ionia Nisia | 13 | +4.5 pts |
| 29 | Martinique | 12.7 | -3.5 pts |
| 30 | Východné Slovensko | 12.1 | -1.7 pts |
| 31 | Asturias | 11.8 | -1.3 pts |
| 32 | Galicia | 11.6 | +0.5 pts |
| 33 | Catalonia | 11.5 | -0.6 pts |
| 34 | Stredné Slovensko | 11.3 | -0.9 pts |
| 35 | Castile and León | 11 | +0.5 pts |
| 36 | Cantabria | 10.8 | +0.7 pts |
| 36 | Sardegna | 10.8 | +1 pts |
| 38 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 10.6 | -0.3 pts |
| 39 | Molise | 10.2 | +0.8 pts |
| 40 | Community of Madrid | 10 | +0.1 pts |
| 40 | Região Autónoma da Madeira | 10 | -1.6 pts |
| 42 | Aragon | 9.7 | -0.1 pts |
| 42 | Jadranska Hrvatska | 9.7 | +0.9 pts |
| 42 | Severozapaden | 9.7 | +0.8 pts |
| 45 | Basilicata | 9.6 | -0.2 pts |
| 45 | Norte | 9.6 | -0.7 pts |
| 47 | Basque Country | 9.2 | +1.1 pts |
| 47 | Região Autónoma dos Açores | 9.2 | -0.6 pts |
| 49 | Prov. Hainaut | 9.1 | +2 pts |
| 50 | Notio Aigaio | 9 | +1 pts |
| 51 | La Rioja | 8.8 | +0.2 pts |
| 52 | Severen tsentralen | 8.6 | -1.5 pts |
| 53 | Balearic Islands | 8.4 | -0.9 pts |
| 54 | Západné Slovensko | 7.8 | -0.1 pts |
| 55 | Kýpros | 7.7 | +1.6 pts |
| 56 | Lazio | 7.6 | +0.8 pts |
| 56 | Navarre | 7.6 | +0.6 pts |
| 58 | Abruzzo | 7.5 | +0.9 pts |
| 58 | Algarve | 7.5 | -1 pts |
| 60 | Southern | 7.1 | -1.3 pts |
| 60 | Yuzhen tsentralen | 7.1 | -0.9 pts |
| 62 | Yugoiztochen | 6.9 | +0.8 pts |
| 63 | Nord-Pas de Calais | 6.8 | -0.4 pts |
| 63 | Piemonte | 6.8 | +1.1 pts |
| 63 | Severoiztochen | 6.8 | -3 pts |
| 66 | Eastern and Midland | 6.3 | -1.4 pts |
| 66 | Prov. Liège | 6.3 | 0 pts |
| 68 | Languedoc-Roussillon | 6.2 | +0.4 pts |
| 68 | Northern and Western | 6.2 | -1.6 pts |
| 70 | Liguria | 6.1 | +1.2 pts |
| 70 | Vzhodna Slovenija | 6.1 | +0.1 pts |
| 72 | Haute-Normandie | 6 | +0.5 pts |
| 72 | Podkarpackie | 6 | +0.5 pts |
| 74 | Marche | 5.9 | +0.3 pts |
| 75 | Toscana | 5.7 | +1.7 pts |
| 75 | Umbria | 5.7 | +0.8 pts |
| 77 | Picardie | 5.5 | +0.3 pts |
| 78 | Észak-Alföld | 5.4 | -0.9 pts |
| 78 | Świętokrzyskie | 5.4 | -0.8 pts |
| 78 | Yugozapaden | 5.4 | +0.1 pts |
| 81 | Lorraine | 5.3 | +0.2 pts |
| 82 | Champagne-Ardenne | 5.2 | +1.2 pts |
| 82 | Mecklenburg-Vorpommern | 5.2 | -0.2 pts |
| 84 | Prov. Brabant wallon | 5.1 | +1 pts |
| 85 | Leipzig | 5 | -0.2 pts |
| 85 | Vidurio ir vakarų Lietuvos regionas | 5 | -0.1 pts |
| 87 | Berlin | 4.9 | -0.1 pts |
| 87 | Sachsen-Anhalt | 4.9 | -0.4 pts |
| 89 | Warmińsko-mazurskie | 4.8 | -0.4 pts |
| 90 | Alsace | 4.7 | +0.7 pts |
| 90 | Bourgogne | 4.7 | +0.4 pts |
| 90 | Észak-Magyarország | 4.7 | -1.6 pts |
| 90 | Latvija | 4.7 | -1.1 pts |
| 90 | Poitou-Charentes | 4.7 | +0.8 pts |
| 90 | Sud-Est | 4.7 | -0.4 pts |
| 96 | Lombardia | 4.6 | +0.5 pts |
| 96 | Severozápad | 4.6 | -0.2 pts |
| 98 | Flevoland | 4.5 | +0.9 pts |
| 98 | Małopolskie | 4.5 | -0.6 pts |
| 98 | Podlaskie | 4.5 | 0 pts |
| 101 | Sostinės regionas | 4.4 | -0.6 pts |
| 101 | Zahodna Slovenija | 4.4 | +0.2 pts |
| 103 | Lubelskie | 4.3 | 0 pts |
| 104 | Ile-de-France | 4.2 | +0.6 pts |
| 104 | Kujawsko-pomorskie | 4.2 | -0.8 pts |
| 104 | Łódzkie | 4.2 | -1.2 pts |
| 104 | Moravskoslezsko | 4.2 | -0.7 pts |
| 108 | Basse-Normandie | 4.1 | +0.8 pts |
| 108 | Emilia-Romagna | 4.1 | +0.3 pts |
| 108 | Limousin | 4.1 | +0.8 pts |
| 108 | Prov. Namur | 4.1 | -0.8 pts |
| 112 | Centre - Val de Loire | 4 | -0.3 pts |
| 112 | Centru | 4 | -0.8 pts |
| 112 | Dél-Alföld | 4 | -1.2 pts |
| 112 | Friuli-Venezia Giulia | 4 | +0.7 pts |
| 112 | Prov. Luxembourg (BE) | 4 | +1.1 pts |
| 112 | Provence-Alpes-Côte d’Azur | 4 | -0.4 pts |
| 112 | Veneto | 4 | +0.2 pts |
| 119 | Dolnośląskie | 3.9 | -0.9 pts |
| 119 | Śląskie | 3.9 | -0.3 pts |
| 119 | Valle d’Aosta/Vallée d’Aoste Low reliability | 3.9 | +1 pts |
| 122 | Franche-Comté | 3.8 | 0 pts |
| 122 | Sud-Muntenia | 3.8 | -0.4 pts |
| 124 | Pest | 3.7 | -1.7 pts |
| 125 | Aquitaine | 3.6 | +0.6 pts |
| 125 | Midi-Pyrénées | 3.6 | +0.4 pts |
| 125 | Pomorskie | 3.6 | -0.6 pts |
| 125 | Sud-Vest Oltenia | 3.6 | -0.6 pts |
| 129 | Brandenburg | 3.5 | -0.4 pts |
| 129 | Chemnitz | 3.5 | -0.6 pts |
| 129 | Zachodniopomorskie | 3.5 | -1 pts |
| 132 | Dél-Dunántúl | 3.3 | -1 pts |
| 132 | Dresden | 3.3 | -0.4 pts |
| 132 | Eesti | 3.3 | -0.5 pts |
| 132 | Groningen | 3.3 | +0.4 pts |
| 132 | Wielkopolskie | 3.3 | -0.7 pts |
| 137 | Auvergne | 3.2 | -0.2 pts |
| 137 | Budapest | 3.2 | -1.3 pts |
| 139 | Drenthe | 3.1 | +0.6 pts |
| 139 | Düsseldorf | 3.1 | 0 pts |
| 139 | Mazowiecki regionalny | 3.1 | -0.8 pts |
| 139 | Pays de la Loire | 3.1 | -0.1 pts |
| 139 | Wien | 3.1 | +0.3 pts |
| 144 | Friesland (NL) | 3 | +0.2 pts |
| 144 | Rhône-Alpes | 3 | +0.1 pts |
| 144 | Střední Morava | 3 | -0.7 pts |
| 147 | Corse Low reliability | 2.9 | -1.3 pts |
| 147 | Malta | 2.9 | -0.6 pts |
| 147 | Overijssel | 2.9 | +0.4 pts |
| 150 | Gelderland | 2.8 | +0.6 pts |
| 150 | Közép-Dunántúl | 2.8 | -1.3 pts |
| 150 | Saarland | 2.8 | +0.2 pts |
| 150 | Thüringen | 2.8 | -0.3 pts |
| 154 | Bratislavský kraj | 2.7 | 0 pts |
| 154 | Limburg (NL) | 2.7 | +0.3 pts |
| 154 | Noord-Holland | 2.7 | +0.3 pts |
| 154 | Opolskie Low reliability | 2.7 | -0.6 pts |
| 158 | Noord-Brabant | 2.6 | +0.4 pts |
| 159 | Arnsberg | 2.5 | -0.4 pts |
| 159 | Bremen | 2.5 | 0 pts |
| 159 | Jihovýchod | 2.5 | -0.4 pts |
| 159 | Severovýchod | 2.5 | -0.8 pts |
| 163 | Braunschweig | 2.4 | -0.4 pts |
| 163 | Bretagne | 2.4 | -0.3 pts |
| 163 | Hannover | 2.4 | 0 pts |
| 163 | Köln | 2.4 | -0.2 pts |
| 163 | Prov. Antwerpen | 2.4 | +0.2 pts |
| 163 | Provincia Autonoma di Trento | 2.4 | +0.2 pts |
| 169 | Etelä-Suomi | 2.3 | +0.4 pts |
| 169 | Jihozápad | 2.3 | 0 pts |
| 169 | Prov. Limburg (BE) | 2.3 | +0.7 pts |
| 172 | Lubuskie Low reliability | 2.2 | -0.4 pts |
| 172 | Sydsverige | 2.2 | +0.2 pts |
| 174 | Detmold | 2.1 | +0.1 pts |
| 174 | Pohjois- ja Itä-Suomi | 2.1 | +0.2 pts |
| 174 | Vest | 2.1 | 0 pts |
| 174 | Zeeland | 2.1 | -0.1 pts |
| 178 | Hamburg | 2 | -0.3 pts |
| 178 | Länsi-Suomi | 2 | +0.1 pts |
| 178 | Münster | 2 | -0.2 pts |
| 178 | Warszawski stołeczny | 2 | -0.2 pts |
| 182 | Hovedstaden | 1.9 | -0.1 pts |
| 182 | Nyugat-Dunántúl | 1.9 | -1 pts |
| 182 | Sjælland | 1.9 | -0.2 pts |
| 182 | Střední Čechy | 1.9 | +0.1 pts |
| 186 | Nord-Est | 1.8 | -0.1 pts |
| 187 | Gießen | 1.7 | -0.2 pts |
| 187 | Koblenz | 1.7 | +0.3 pts |
| 187 | Lüneburg | 1.7 | -0.3 pts |
| 187 | Nord-Vest | 1.7 | -0.3 pts |
| 187 | Prov. Vlaams-Brabant | 1.7 | -0.3 pts |
| 187 | Schleswig-Holstein | 1.7 | -0.5 pts |
| 187 | Weser-Ems | 1.7 | +0.2 pts |
| 194 | Darmstadt | 1.6 | +0.1 pts |
| 194 | Helsinki-Uusimaa | 1.6 | +0.3 pts |
| 194 | Kärnten Low reliability | 1.6 | +0.2 pts |
| 194 | Luxembourg | 1.6 | -0.2 pts |
| 194 | Norra Mellansverige | 1.6 | +0.2 pts |
| 194 | Prov. Oost-Vlaanderen | 1.6 | +0.5 pts |
| 194 | Syddanmark | 1.6 | -0.5 pts |
| 201 | Kassel | 1.5 | -0.1 pts |
| 201 | Nordjylland | 1.5 | +0.2 pts |
| 201 | Östra Mellansverige | 1.5 | -0.1 pts |
| 201 | Provincia Autonoma di Bolzano/Bozen | 1.5 | +0.3 pts |
| 205 | Midtjylland | 1.4 | -0.1 pts |
| 205 | Niederösterreich | 1.4 | +0.2 pts |
| 205 | Oberfranken | 1.4 | 0 pts |
| 205 | Rheinhessen-Pfalz | 1.4 | -0.2 pts |
| 205 | Steiermark | 1.4 | +0.2 pts |
| 210 | Prov. West-Vlaanderen | 1.3 | +0.2 pts |
| 210 | Västsverige | 1.3 | -0.1 pts |
| 212 | Karlsruhe | 1.2 | -0.1 pts |
| 212 | Mellersta Norrland | 1.2 | +0.3 pts |
| 212 | Stockholm | 1.2 | 0 pts |
| 212 | Stuttgart | 1.2 | -0.1 pts |
| 216 | Bucureşti-Ilfov | 1.1 | -0.9 pts |
| 216 | Oberpfalz | 1.1 | -0.2 pts |
| 216 | Övre Norrland | 1.1 | +0.2 pts |
| 216 | Schwaben | 1.1 | 0 pts |
| 216 | Småland med öarna | 1.1 | -0.1 pts |
| 221 | Mittelfranken | 1 | 0 pts |
| 221 | Niederbayern | 1 | -0.3 pts |
| 221 | Oberösterreich | 1 | +0.2 pts |
| 221 | Tübingen | 1 | +0.2 pts |
| 225 | Freiburg | 0.9 | 0 pts |
| 225 | Unterfranken | 0.9 | -0.1 pts |
| 227 | Oberbayern | 0.8 | -0.1 pts |
| 227 | Praha | 0.8 | -0.3 pts |
Other periods
About this ranking
People aged 15 to 74 who have been unemployed for 12 months or more, as a percentage of the labour force aged 15 to 74. Unemployment follows the ILO definition: without work, available to start within two weeks and actively seeking work.
A share of the labour force, not of the unemployed. From the EU labour force survey. Eurostat flags series breaks (most in 2021, under the new framework regulation for social statistics); they are stored as status break.
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 2014 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu). https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table. Retrieved 2026-10-18.
Citation styles
APA 7
Eurostat, European Commission. (2026). Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu) (EU regions (NUTS 2) by long-term unemployment rate, 2014) [Data set]. Retrieved October 18, 2026, from https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table
MLA 9
Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu), EU regions (NUTS 2) by long-term unemployment rate, 2014. Eurostat, European Commission, 10 Sept. 2026, https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table. Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014. Accessed 18 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu). EU regions (NUTS 2) by long-term unemployment rate, 2014. Dataset. Accessed October 18, 2026. https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table. Also distributed by Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014.
Harvard
Eurostat, European Commission (2026) Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu), EU regions (NUTS 2) by long-term unemployment rate, 2014 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table, via Invokely: https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014 (Accessed: 18 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2014,
author = {{Eurostat, European Commission}},
title = {{Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst\_r\_lfu2ltu): EU regions (NUTS 2) by long-term unemployment rate, 2014}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table},
urldate = {2026-10-18},
note = {Accessed via Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014. Publisher attribution: Eurostat. Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst\_r\_lfu2ltu). https://ec.europa.eu/eurostat/databrowser/view/lfst\_r\_lfu2ltu/default/table. Retrieved 2026-10-18.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu): EU regions (NUTS 2) by long-term unemployment rate, 2014
PY - 2026
DA - 2026/09/10
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table
L2 - https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014
Y2 - 2026/10/18
N1 - Accessed via Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2014.
N1 - Publisher attribution: Eurostat. Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu). https://ec.europa.eu/eurostat/databrowser/view/lfst_r_lfu2ltu/default/table. Retrieved 2026-10-18.
ER -
Use this data in your AI agent
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Rank EU regions by long-term unemployment rate using official data, and cite the source.
rank_places {"indicator":"long_term_unemployment_rate","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=long_term_unemployment_rate&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest long-term unemployment rate?
Ceuta, with 22.9% in 2014, according to Eurostat, European Commission.
Which region has the lowest long-term unemployment rate?
Praha, with 0.8% 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, Long-term unemployment (12 months or more) as a percentage of the labour force by NUTS 2 region, 15 to 74 years (lfst_r_lfu2ltu). Retrieved 2026-10-18. 12 regions have no value for 2014 and are not ranked.