EU regions (NUTS 2) by long-term unemployment rate
Mayotte had the highest long-term unemployment rate of 231 regions in 2016, at 24.1%. Tübingen had the lowest, at 0.7%. The median was 3.3% and the figure for the European Union (27) was 4.3%. Source: Eurostat, European Commission.
Top 40 regions, 2016
Full ranking
| Rank | Regions | 2016 (%) | Change on 2015 |
|---|---|---|---|
| 1 | Mayotte | 24.1 | +5.2 pts |
| 2 | Dytiki Elláda | 22.5 | +0.8 pts |
| 3 | Dytiki Makedonia | 20.7 | +1.2 pts |
| 4 | Melilla | 19.6 | -1.6 pts |
| 5 | Sterea Elláda | 19.4 | -0.4 pts |
| 6 | Ipeiros | 18.9 | +1 pts |
| 7 | Thessalia | 18.7 | -1.1 pts |
| 8 | Kentriki Makedonia | 18.6 | -0.8 pts |
| 9 | Guadeloupe | 17 | +0.5 pts |
| 10 | Attiki | 16.9 | -2.4 pts |
| 11 | Guyane | 16 | +1.5 pts |
| 12 | Anatoliki Makedonia, Thraki | 15.8 | -0.3 pts |
| 13 | Ceuta | 15.2 | -3.3 pts |
| 14 | Calabria | 15 | -0.4 pts |
| 15 | Peloponnisos | 14.5 | -2.7 pts |
| 16 | Sicilia | 14.3 | +0.2 pts |
| 17 | Canary Islands | 14.2 | -3.2 pts |
| 18 | La Réunion | 14.1 | -1.1 pts |
| 19 | Campania | 14 | +0.4 pts |
| 20 | Kriti | 12.7 | -0.8 pts |
| 21 | Andalusia | 12.6 | -2.2 pts |
| 22 | Voreio Aigaio | 12.3 | -0.6 pts |
| 23 | Puglia | 12.2 | 0 pts |
| 24 | Extremadura | 12.1 | -1.2 pts |
| 25 | Castilla-La Mancha | 11.8 | -2.1 pts |
| 26 | Martinique | 11.5 | -0.6 pts |
| 27 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 10.2 | -0.9 pts |
| 28 | Asturias | 9.9 | -0.6 pts |
| 28 | Valencian Community | 9.9 | -1.7 pts |
| 30 | Sardegna | 9.6 | +0.2 pts |
| 31 | Panonska Hrvatska | 9.2 | |
| 31 | Region of Murcia | 9.2 | -2.8 pts |
| 33 | Galicia | 8.9 | -1.7 pts |
| 34 | Catalonia | 8.4 | -2 pts |
| 35 | Molise | 8.3 | -1.6 pts |
| 36 | Basilicata | 8.2 | -0.8 pts |
| 36 | Ionia Nisia | 8.2 | -4.7 pts |
| 38 | Severozapaden | 8.1 | -1 pts |
| 39 | Východné Slovensko | 8 | -1.9 pts |
| 40 | Community of Madrid | 7.9 | -1.6 pts |
| 41 | Notio Aigaio | 7.8 | +1.3 pts |
| 41 | Região Autónoma da Madeira | 7.8 | -1.3 pts |
| 43 | Castile and León | 7.6 | -1.6 pts |
| 44 | Prov. Hainaut | 7.3 | -0.5 pts |
| 45 | Norte | 7.2 | -1.3 pts |
| 45 | Stredné Slovensko | 7.2 | -1.5 pts |
| 47 | Cantabria | 7.1 | -2 pts |
| 47 | Jadranska Hrvatska | 7.1 | -3.3 pts |
| 49 | Abruzzo | 6.9 | -0.8 pts |
| 50 | Aragon | 6.7 | -0.8 pts |
| 51 | Nord-Pas de Calais | 6.6 | -0.5 pts |
| 52 | Basque Country | 6.5 | -1.4 pts |
| 53 | Prov. Liège | 6.4 | -1.1 pts |
| 53 | Região Autónoma dos Açores | 6.4 | -1.1 pts |
| 55 | Severen tsentralen | 6.2 | -0.6 pts |
| 56 | Lazio | 6.1 | -0.4 pts |
| 57 | Navarre | 6 | -0.3 pts |
| 58 | Haute-Normandie | 5.9 | +1.3 pts |
| 59 | Kýpros | 5.8 | -1 pts |
| 59 | Languedoc-Roussillon | 5.8 | -0.5 pts |
| 61 | Lorraine | 5.7 | +0.2 pts |
| 62 | La Rioja | 5.6 | -1.8 pts |
| 62 | Picardie | 5.6 | +0.9 pts |
| 64 | Sud-Muntenia | 5.5 | -0.1 pts |
| 65 | Marche | 5.4 | +0.7 pts |
| 65 | Sjeverna Hrvatska | 5.4 | |
| 67 | Severoiztochen | 5.3 | -0.2 pts |
| 68 | Piemonte | 5 | -0.9 pts |
| 68 | Umbria | 5 | -0.5 pts |
| 70 | Alsace | 4.9 | +1.1 pts |
| 70 | Balearic Islands | 4.9 | -1.8 pts |
| 70 | Toscana | 4.9 | +0.1 pts |
| 73 | Champagne-Ardenne | 4.8 | -0.8 pts |
| 74 | Sud-Vest Oltenia | 4.7 | -0.1 pts |
| 74 | Vzhodna Slovenija | 4.7 | -0.8 pts |
| 76 | Liguria | 4.6 | +0.1 pts |
| 76 | Prov. Namur | 4.6 | -1.7 pts |
| 76 | Provence-Alpes-Côte d’Azur | 4.6 | +0.1 pts |
| 79 | Grad Zagreb | 4.5 | |
| 79 | Southern | 4.5 | -1.6 pts |
| 79 | Sud-Est | 4.5 | +0.1 pts |
| 82 | Centre - Val de Loire | 4.4 | 0 pts |
| 82 | Northern and Western | 4.4 | -1.1 pts |
| 82 | Sachsen-Anhalt | 4.4 | -0.2 pts |
| 82 | Wien | 4.4 | +0.6 pts |
| 82 | Západné Slovensko | 4.4 | -2.3 pts |
| 87 | Ile-de-France | 4.3 | 0 pts |
| 88 | Aquitaine | 4.1 | +0.1 pts |
| 88 | Corse Low reliability | 4.1 | -2.2 pts |
| 90 | Algarve | 4 | -2.1 pts |
| 90 | Bourgogne | 4 | +0.3 pts |
| 90 | Eastern and Midland | 4 | -0.8 pts |
| 90 | Észak-Alföld | 4 | -0.4 pts |
| 90 | Latvija | 4 | -0.5 pts |
| 90 | Lombardia | 4 | -0.4 pts |
| 90 | Valle d’Aosta/Vallée d’Aoste Low reliability | 4 | +0.2 pts |
| 97 | Poitou-Charentes | 3.9 | -0.9 pts |
| 97 | Yuzhen tsentralen | 3.9 | -1.6 pts |
| 99 | Yugoiztochen | 3.8 | -1.8 pts |
| 99 | Zahodna Slovenija | 3.8 | 0 pts |
| 101 | Basse-Normandie | 3.7 | +0.1 pts |
| 101 | Flevoland | 3.7 | -0.1 pts |
| 101 | Moravskoslezsko | 3.7 | -0.8 pts |
| 104 | Prov. Brabant wallon | 3.6 | -0.4 pts |
| 105 | Berlin | 3.5 | -1.2 pts |
| 105 | Franche-Comté | 3.5 | -0.7 pts |
| 105 | Świętokrzyskie Series break | 3.5 | -0.7 pts |
| 105 | Veneto | 3.5 | -0.1 pts |
| 109 | Emilia-Romagna | 3.4 | -0.3 pts |
| 109 | Friuli-Venezia Giulia | 3.4 | -0.3 pts |
| 109 | Podkarpackie Series break | 3.4 | -0.9 pts |
| 109 | Vidurio ir vakarų Lietuvos regionas | 3.4 | -0.7 pts |
| 113 | Dél-Dunántúl | 3.3 | -0.4 pts |
| 113 | Groningen | 3.3 | -0.7 pts |
| 113 | Limousin | 3.3 | -0.2 pts |
| 113 | Lubelskie Series break | 3.3 | -0.8 pts |
| 113 | Midi-Pyrénées | 3.3 | +0.1 pts |
| 113 | Pays de la Loire | 3.3 | +0.2 pts |
| 119 | Bretagne | 3.2 | +0.8 pts |
| 119 | Rhône-Alpes | 3.2 | -0.2 pts |
| 119 | Yugozapaden | 3.2 | -1.1 pts |
| 122 | Auvergne | 3 | -0.5 pts |
| 122 | Mecklenburg-Vorpommern | 3 | -1.5 pts |
| 122 | Vest | 3 | +0.6 pts |
| 125 | Kujawsko-pomorskie Series break | 2.9 | -0.2 pts |
| 125 | Leipzig | 2.9 | -0.9 pts |
| 127 | Drenthe | 2.8 | -0.6 pts |
| 127 | Észak-Magyarország | 2.8 | -1 pts |
| 127 | Friesland (NL) | 2.8 | -0.7 pts |
| 127 | Podlaskie Low reliability | 2.8 | -0.7 pts |
| 127 | Prov. Antwerpen | 2.8 | +0.1 pts |
| 127 | Prov. Luxembourg (BE) Low reliability | 2.8 | -1.6 pts |
| 133 | Dresden | 2.7 | -0.5 pts |
| 133 | Warmińsko-mazurskie Series break | 2.7 | -1.6 pts |
| 135 | Etelä-Suomi | 2.6 | -0.1 pts |
| 135 | Länsi-Suomi | 2.6 | +0.2 pts |
| 135 | Overijssel | 2.6 | -0.2 pts |
| 135 | Pohjois- ja Itä-Suomi | 2.6 | +0.3 pts |
| 135 | Provincia Autonoma di Trento | 2.6 | +0.1 pts |
| 140 | Dél-Alföld | 2.5 | -1 pts |
| 140 | Severozápad | 2.5 | -1.8 pts |
| 142 | Centru | 2.4 | -0.5 pts |
| 142 | Malta | 2.4 | -0.3 pts |
| 142 | Thüringen | 2.4 | -0.3 pts |
| 145 | Bratislavský kraj | 2.3 | +0.2 pts |
| 145 | Budapest | 2.3 | -0.3 pts |
| 145 | Chemnitz | 2.3 | -0.9 pts |
| 145 | Gelderland | 2.3 | -0.4 pts |
| 145 | Luxembourg | 2.3 | +0.4 pts |
| 150 | Arnsberg | 2.2 | -0.3 pts |
| 150 | Brandenburg | 2.2 | -0.9 pts |
| 150 | Düsseldorf | 2.2 | -0.8 pts |
| 150 | Eesti | 2.2 | -0.3 pts |
| 150 | Łódzkie Series break | 2.2 | -1 pts |
| 150 | Noord-Brabant | 2.2 | -0.5 pts |
| 150 | Noord-Holland | 2.2 | -0.4 pts |
| 150 | Sostinės regionas | 2.2 | -1.2 pts |
| 150 | Zachodniopomorskie Series break | 2.2 | -0.7 pts |
| 159 | Hannover | 2.1 | 0 pts |
| 159 | Limburg (NL) | 2.1 | -0.4 pts |
| 159 | Małopolskie Series break | 2.1 | -1.1 pts |
| 159 | Mazowiecki regionalny Series break | 2.1 | -0.5 pts |
| 159 | Prov. Limburg (BE) | 2.1 | 0 pts |
| 159 | Prov. Vlaams-Brabant | 2.1 | +0.1 pts |
| 165 | Śląskie Series break | 2 | -1.1 pts |
| 165 | Wielkopolskie Series break | 2 | -0.8 pts |
| 167 | Braunschweig | 1.9 | -0.4 pts |
| 167 | Nord-Vest | 1.9 | -0.2 pts |
| 167 | Zeeland | 1.9 | -0.1 pts |
| 170 | Bremen | 1.8 | -0.2 pts |
| 170 | Münster | 1.8 | +0.1 pts |
| 170 | Niederösterreich | 1.8 | +0.3 pts |
| 170 | Sydsverige | 1.8 | -0.5 pts |
| 174 | Dolnośląskie Series break | 1.7 | -1.1 pts |
| 174 | Helsinki-Uusimaa | 1.7 | -0.3 pts |
| 174 | Pomorskie Series break | 1.7 | -0.5 pts |
| 174 | Rheinhessen-Pfalz | 1.7 | +0.3 pts |
| 174 | Saarland | 1.7 | -1.2 pts |
| 179 | Detmold | 1.6 | -0.5 pts |
| 179 | Köln | 1.6 | -0.5 pts |
| 179 | Pest | 1.6 | -1.8 pts |
| 182 | Darmstadt | 1.5 | -0.1 pts |
| 182 | Hamburg | 1.5 | -0.4 pts |
| 182 | Hovedstaden Series break | 1.5 | -0.3 pts |
| 182 | Jihovýchod | 1.5 | -0.7 pts |
| 182 | Kärnten Low reliability | 1.5 | -0.3 pts |
| 182 | Norra Mellansverige | 1.5 | +0.1 pts |
| 182 | Östra Mellansverige | 1.5 | 0 pts |
| 182 | Prov. Oost-Vlaanderen | 1.5 | +0.1 pts |
| 182 | Severovýchod | 1.5 | -0.8 pts |
| 182 | Sjælland Series break | 1.5 | -0.2 pts |
| 182 | Střední Morava | 1.5 | -1.1 pts |
| 193 | Koblenz | 1.4 | +0.4 pts |
| 193 | Nordjylland Series break | 1.4 | -0.2 pts |
| 193 | Schleswig-Holstein | 1.4 | -0.3 pts |
| 193 | Steiermark | 1.4 | +0.2 pts |
| 197 | Gießen | 1.3 | -0.2 pts |
| 197 | Közép-Dunántúl | 1.3 | -0.8 pts |
| 197 | Lüneburg | 1.3 | -0.3 pts |
| 197 | Nord-Est | 1.3 | -0.2 pts |
| 197 | Oberpfalz | 1.3 | +0.2 pts |
| 202 | Jihozápad | 1.2 | -0.6 pts |
| 202 | Lubuskie Low reliability | 1.2 | -0.2 pts |
| 202 | Oberösterreich | 1.2 | +0.4 pts |
| 202 | Prov. West-Vlaanderen | 1.2 | -0.3 pts |
| 202 | Stockholm | 1.2 | -0.2 pts |
| 202 | Weser-Ems | 1.2 | -0.4 pts |
| 208 | Kassel | 1.1 | -0.3 pts |
| 208 | Nyugat-Dunántúl | 1.1 | -0.3 pts |
| 208 | Oberfranken | 1.1 | -0.5 pts |
| 208 | Provincia Autonoma di Bolzano/Bozen | 1.1 | -0.3 pts |
| 212 | Bucureşti-Ilfov Low reliability | 1 | +0.3 pts |
| 212 | Karlsruhe | 1 | -0.3 pts |
| 212 | Mellersta Norrland Low reliability | 1 | -0.2 pts |
| 212 | Midtjylland Series break | 1 | -0.4 pts |
| 212 | Schwaben | 1 | +0.1 pts |
| 212 | Střední Čechy | 1 | -0.2 pts |
| 212 | Syddanmark Series break | 1 | -0.5 pts |
| 212 | Västsverige | 1 | -0.1 pts |
| 220 | Freiburg | 0.9 | +0.2 pts |
| 220 | Övre Norrland | 0.9 | -0.2 pts |
| 220 | Småland med öarna | 0.9 | -0.1 pts |
| 220 | Stuttgart | 0.9 | -0.1 pts |
| 220 | Warszawski stołeczny Low reliability | 0.9 | -0.3 pts |
| 225 | Mittelfranken | 0.8 | 0 pts |
| 225 | Niederbayern | 0.8 | -0.1 pts |
| 225 | Praha | 0.8 | 0 pts |
| 225 | Tirol Low reliability | 0.8 | |
| 225 | Unterfranken | 0.8 | |
| 230 | Oberbayern | 0.7 | -0.1 pts |
| 230 | Tübingen | 0.7 | -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. 9 regions with data in other periods have no value for 2016 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, 2016) [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, 2016. 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=2016. 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, 2016. 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=2016.
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, 2016 [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=2016 (Accessed: 18 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2016,
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, 2016}},
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=2016. 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, 2016
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=2016
Y2 - 2026/10/18
N1 - Accessed via Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions?period=2016.
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
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 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?
Mayotte, with 24.1% in 2016, according to Eurostat, European Commission.
Which region has the lowest long-term unemployment rate?
Tübingen, with 0.7% in 2016.
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. 9 regions have no value for 2016 and are not ranked.