EU regions (NUTS 2) by long-term unemployment rate, 2019
Mayotte had the highest long-term unemployment rate of 220 regions in 2019, at 25.4%. Střední Čechy had the lowest, at 0.3%. The median was 1.9% and the figure for the European Union (27) was 2.7%. Source: Eurostat, European Commission.
Top 40 regions, 2019
Full ranking
| Rank | Regions | 2019 (%) | Change on 2018 |
|---|---|---|---|
| 1 | Mayotte | 25.4 | -3.3 pts |
| 2 | Dytiki Elláda | 18.2 | +0.7 pts |
| 3 | Dytiki Makedonia | 17 | -2.3 pts |
| 4 | Melilla | 16.7 | +0.7 pts |
| 5 | Guadeloupe | 15.3 | -0.8 pts |
| 6 | Ceuta | 14.7 | -4.1 pts |
| 7 | Sicilia | 13.7 | -1 pts |
| 8 | La Réunion | 13.5 | -1.1 pts |
| 9 | Calabria | 13.4 | -1.8 pts |
| 9 | Campania | 13.4 | -0.4 pts |
| 11 | Kentriki Makedonia | 13.2 | -0.8 pts |
| 12 | Guyane | 13 | +0.6 pts |
| 13 | Sterea Elláda | 12.8 | -1.3 pts |
| 14 | Attiki | 12.7 | -2.4 pts |
| 14 | Thessalia | 12.7 | -0.4 pts |
| 16 | Ipeiros | 12.2 | -3.3 pts |
| 17 | Anatoliki Makedonia, Thraki | 12.1 | +1.2 pts |
| 18 | Voreio Aigaio | 11.5 | -3.7 pts |
| 19 | Martinique | 9.8 | -0.7 pts |
| 20 | Extremadura | 9.2 | -0.5 pts |
| 21 | Peloponnisos | 9 | -1.5 pts |
| 22 | Puglia | 8.8 | -1 pts |
| 22 | Severozapaden Series break | 8.8 | +0.1 pts |
| 24 | Canary Islands | 8.7 | -0.9 pts |
| 25 | Sardegna | 8 | -0.3 pts |
| 26 | Molise | 7.8 | -1.1 pts |
| 27 | Andalusia | 7.7 | -1.7 pts |
| 28 | Asturias | 7 | +0.8 pts |
| 29 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 6.9 | -0.6 pts |
| 30 | Castilla-La Mancha | 6.5 | -1.3 pts |
| 31 | Basilicata | 6.2 | -1.5 pts |
| 32 | Abruzzo | 5.7 | -0.4 pts |
| 32 | Ionia Nisia | 5.7 | -3 pts |
| 32 | Kriti | 5.7 | -1 pts |
| 35 | Východné Slovensko | 5.6 | -1 pts |
| 36 | Lazio | 5.5 | -1 pts |
| 37 | Valencian Community | 5.2 | -1.2 pts |
| 38 | Nord-Pas de Calais | 5.1 | -1 pts |
| 39 | Liguria | 5 | -0.1 pts |
| 40 | Region of Murcia | 4.9 | -1.1 pts |
| 41 | Prov. Hainaut | 4.7 | -1.2 pts |
| 42 | Castile and León | 4.6 | -0.3 pts |
| 42 | Galicia | 4.6 | -1.3 pts |
| 42 | Languedoc-Roussillon | 4.6 | -0.4 pts |
| 42 | Notio Aigaio | 4.6 | -0.9 pts |
| 46 | Umbria | 4.2 | -0.7 pts |
| 47 | Catalonia | 4.1 | -0.6 pts |
| 47 | Community of Madrid | 4.1 | -1.2 pts |
| 47 | Haute-Normandie | 4.1 | 0 pts |
| 47 | Marche | 4.1 | -0.4 pts |
| 47 | Piemonte | 4.1 | -0.3 pts |
| 52 | Península de Setúbal | 4 | |
| 52 | Picardie | 4 | +0.4 pts |
| 52 | Região Autónoma dos Açores | 4 | +0.1 pts |
| 55 | Panonska Hrvatska | 3.9 | -1.5 pts |
| 55 | Stredné Slovensko | 3.9 | -1.1 pts |
| 57 | Basque Country | 3.7 | -1 pts |
| 57 | Basse-Normandie | 3.7 | +0.7 pts |
| 57 | Provence-Alpes-Côte d’Azur | 3.7 | -0.2 pts |
| 57 | Região Autónoma da Madeira | 3.7 | -0.7 pts |
| 61 | Aragon | 3.6 | -0.4 pts |
| 62 | Alentejo | 3.5 | |
| 62 | Cantabria | 3.5 | -1.3 pts |
| 62 | Poitou-Charentes | 3.5 | -0.1 pts |
| 62 | Prov. Namur | 3.5 | -1 pts |
| 66 | Aquitaine | 3.3 | -0.7 pts |
| 66 | Champagne-Ardenne | 3.3 | -0.4 pts |
| 68 | Ile-de-France | 3.2 | -0.4 pts |
| 68 | Limousin Low reliability | 3.2 | +0.7 pts |
| 68 | Lorraine | 3.2 | -1.7 pts |
| 68 | Prov. Liège | 3.2 | -1.4 pts |
| 72 | Norte | 3 | -0.4 pts |
| 72 | Severen tsentralen Series break | 3 | -1.3 pts |
| 72 | Toscana | 3 | -0.5 pts |
| 75 | Centre - Val de Loire | 2.9 | -0.4 pts |
| 75 | La Rioja Low reliability | 2.9 | -0.6 pts |
| 77 | Balearic Islands | 2.8 | 0 pts |
| 77 | Friuli-Venezia Giulia | 2.8 | -0.4 pts |
| 77 | Wien | 2.8 | -0.6 pts |
| 80 | Alsace | 2.7 | -0.4 pts |
| 80 | Franche-Comté | 2.7 | +0.3 pts |
| 80 | Grande Lisboa | 2.7 | |
| 80 | Lombardia | 2.7 | -0.4 pts |
| 80 | Severoiztochen Series break | 2.7 | -1.4 pts |
| 80 | Sud-Vest Oltenia | 2.7 | -0.9 pts |
| 86 | Bourgogne | 2.6 | -0.8 pts |
| 87 | Pays de la Loire | 2.5 | -0.1 pts |
| 87 | Sachsen-Anhalt | 2.5 | -0.5 pts |
| 87 | Sud-Est | 2.5 | -0.1 pts |
| 90 | Auvergne | 2.4 | -1.2 pts |
| 90 | Latvija | 2.4 | -0.7 pts |
| 90 | Leipzig | 2.4 | +0.1 pts |
| 90 | Veneto | 2.4 | -0.6 pts |
| 94 | Centru | 2.3 | +0.5 pts |
| 94 | Prov. Brabant wallon Low reliability | 2.3 | -1 pts |
| 96 | Emilia-Romagna | 2.2 | -0.3 pts |
| 96 | Jadranska Hrvatska | 2.2 | -1.4 pts |
| 96 | Kýpros | 2.2 | -0.5 pts |
| 96 | Navarre | 2.2 | -1.7 pts |
| 96 | Prov. Luxembourg (BE) Low reliability | 2.2 | -0.7 pts |
| 96 | Vidurio ir vakarų Lietuvos regionas | 2.2 | 0 pts |
| 96 | Vzhodna Slovenija | 2.2 | -0.3 pts |
| 103 | Rhône-Alpes | 2.1 | -0.4 pts |
| 103 | Sud-Muntenia | 2.1 | -0.6 pts |
| 103 | Západné Slovensko | 2.1 | -0.1 pts |
| 106 | Algarve | 2 | |
| 106 | Berlin | 2 | -0.6 pts |
| 106 | Észak-Alföld | 2 | -0.8 pts |
| 106 | Midi-Pyrénées | 2 | -0.9 pts |
| 110 | Bretagne | 1.9 | -0.1 pts |
| 110 | Grad Zagreb Low reliability | 1.9 | -0.6 pts |
| 110 | Southern | 1.9 | -0.5 pts |
| 110 | Yugoiztochen Series break | 1.9 | -0.8 pts |
| 114 | Centro (PT) | 1.8 | |
| 114 | Chemnitz | 1.8 | 0 pts |
| 114 | Mecklenburg-Vorpommern | 1.8 | -0.4 pts |
| 114 | Northern and Western | 1.8 | -0.5 pts |
| 114 | Sjeverna Hrvatska Low reliability | 1.8 | -0.3 pts |
| 119 | Arnsberg | 1.7 | -0.2 pts |
| 119 | Bremen | 1.7 | +0.2 pts |
| 119 | Dresden | 1.7 | -0.4 pts |
| 119 | Lubelskie Series break | 1.7 | -1.1 pts |
| 119 | Oeste e Vale do Tejo | 1.7 | |
| 119 | Podkarpackie Low reliability | 1.7 | -0.9 pts |
| 125 | Brandenburg | 1.6 | -0.6 pts |
| 125 | Dél-Dunántúl | 1.6 | -0.3 pts |
| 125 | Düsseldorf | 1.6 | -0.3 pts |
| 125 | Észak-Magyarország | 1.6 | -0.2 pts |
| 125 | Groningen | 1.6 | -0.2 pts |
| 125 | Thüringen | 1.6 | -0.3 pts |
| 125 | Zahodna Slovenija | 1.6 | -0.2 pts |
| 132 | Helsinki-Uusimaa | 1.5 | -0.4 pts |
| 132 | Köln | 1.5 | -0.1 pts |
| 132 | Provincia Autonoma di Trento | 1.5 | 0 pts |
| 132 | Saarland | 1.5 | -0.2 pts |
| 136 | Braunschweig | 1.4 | -0.4 pts |
| 136 | Detmold | 1.4 | +0.1 pts |
| 136 | Friesland (NL) | 1.4 | -0.5 pts |
| 136 | Hamburg | 1.4 | -0.5 pts |
| 136 | Hannover | 1.4 | -0.5 pts |
| 136 | Luxembourg | 1.4 | 0 pts |
| 136 | Moravskoslezsko | 1.4 | 0 pts |
| 136 | Sostinės regionas | 1.4 | -0.1 pts |
| 144 | Eastern and Midland | 1.3 | -0.5 pts |
| 144 | Münster | 1.3 | -0.2 pts |
| 144 | Nord-Vest | 1.3 | +0.2 pts |
| 144 | Norra Mellansverige Low reliability | 1.3 | +0.4 pts |
| 144 | Prov. Vlaams-Brabant | 1.3 | 0 pts |
| 144 | Yuzhen tsentralen Series break | 1.3 | -0.8 pts |
| 144 | Zuid-Holland | 1.3 | |
| 151 | Bucureşti-Ilfov | 1.2 | +0.1 pts |
| 151 | Dél-Alföld | 1.2 | 0 pts |
| 151 | Gießen | 1.2 | -0.3 pts |
| 151 | Östra Mellansverige | 1.2 | -0.3 pts |
| 151 | Pohjois- ja Itä-Suomi | 1.2 | -0.2 pts |
| 151 | Prov. Antwerpen | 1.2 | -0.4 pts |
| 151 | Severozápad | 1.2 | +0.1 pts |
| 151 | Świętokrzyskie Low reliability | 1.2 | -0.5 pts |
| 151 | Sydsverige | 1.2 | -0.6 pts |
| 160 | Etelä-Suomi | 1.1 | -0.4 pts |
| 160 | Flevoland | 1.1 | -0.6 pts |
| 160 | Kassel | 1.1 | +0.3 pts |
| 160 | Nordjylland Low reliability | 1.1 | +0.1 pts |
| 160 | Rheinhessen-Pfalz | 1.1 | -0.1 pts |
| 160 | Weser-Ems | 1.1 | +0.2 pts |
| 160 | Yugozapaden Series break | 1.1 | -0.3 pts |
| 167 | Gelderland | 1 | -0.3 pts |
| 167 | Länsi-Suomi | 1 | -0.6 pts |
| 167 | Malta | 1 | -0.9 pts |
| 167 | Niederösterreich | 1 | -0.2 pts |
| 167 | Overijssel | 1 | -0.4 pts |
| 167 | Schleswig-Holstein | 1 | -0.1 pts |
| 167 | Vest Low reliability | 1 | -0.7 pts |
| 167 | Warmińsko-mazurskie Low reliability | 1 | -0.4 pts |
| 175 | Darmstadt | 0.9 | -0.1 pts |
| 175 | Drenthe Low reliability | 0.9 | -0.5 pts |
| 175 | Eesti | 0.9 | -0.4 pts |
| 175 | Lüneburg | 0.9 | -0.2 pts |
| 175 | Mazowiecki regionalny Low reliability | 0.9 | -0.4 pts |
| 175 | Noord-Brabant | 0.9 | -0.4 pts |
| 175 | Noord-Holland | 0.9 | -0.5 pts |
| 175 | Syddanmark | 0.9 | -0.1 pts |
| 175 | Utrecht | 0.9 | |
| 175 | Zeeland Low reliability | 0.9 | -0.1 pts |
| 185 | Bratislavský kraj Low reliability | 0.8 | -0.6 pts |
| 185 | Hovedstaden | 0.8 | -0.2 pts |
| 185 | Karlsruhe | 0.8 | -0.1 pts |
| 185 | Koblenz | 0.8 | -0.2 pts |
| 185 | Kujawsko-pomorskie Low reliability | 0.8 | -0.4 pts |
| 185 | Limburg (NL) | 0.8 | -0.2 pts |
| 185 | Łódzkie Low reliability | 0.8 | -0.7 pts |
| 185 | Midtjylland | 0.8 | 0 pts |
| 185 | Pest | 0.8 | -0.2 pts |
| 185 | Prov. Limburg (BE) Low reliability | 0.8 | -0.1 pts |
| 185 | Provincia Autonoma di Bolzano/Bozen Low reliability | 0.8 | +0.1 pts |
| 185 | Sjælland Low reliability | 0.8 | -0.4 pts |
| 185 | Småland med öarna Low reliability | 0.8 | +0.1 pts |
| 185 | Västsverige | 0.8 | 0 pts |
| 199 | Budapest | 0.7 | -0.4 pts |
| 199 | Nord-Est | 0.7 | -0.2 pts |
| 199 | Prov. Oost-Vlaanderen Low reliability | 0.7 | -0.2 pts |
| 199 | Prov. West-Vlaanderen Low reliability | 0.7 | -0.2 pts |
| 199 | Schwaben | 0.7 | 0 pts |
| 199 | Stockholm | 0.7 | -0.3 pts |
| 199 | Střední Morava | 0.7 | 0 pts |
| 206 | Mittelfranken | 0.6 | |
| 206 | Oberbayern | 0.6 | -0.1 pts |
| 206 | Oberösterreich Low reliability | 0.6 | 0 pts |
| 206 | Śląskie Low reliability | 0.6 | +0.2 pts |
| 206 | Steiermark Low reliability | 0.6 | -0.4 pts |
| 211 | Freiburg | 0.5 | -0.2 pts |
| 211 | Jihovýchod | 0.5 | -0.2 pts |
| 211 | Jihozápad Low reliability | 0.5 | 0 pts |
| 211 | Közép-Dunántúl Low reliability | 0.5 | -0.2 pts |
| 211 | Małopolskie Low reliability | 0.5 | -0.3 pts |
| 211 | Stuttgart | 0.5 | -0.3 pts |
| 211 | Wielkopolskie Low reliability | 0.5 | +0.1 pts |
| 218 | Severovýchod Low reliability | 0.4 | -0.1 pts |
| 219 | Praha Low reliability | 0.3 | 0 pts |
| 219 | Střední Čechy Low reliability | 0.3 | -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. 20 regions with data in other periods have no value for 2019 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, 2019) [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, 2019. 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. 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, 2019. 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.
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, 2019 [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 (Accessed: 18 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2019,
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, 2019}},
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. 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, 2019
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
Y2 - 2026/10/18
N1 - Accessed via Invokely, https://invokely.ai/rankings/long-term-unemployment-rate/eu-regions.
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 25.4% in 2019, according to Eurostat, European Commission.
Which region has the lowest long-term unemployment rate?
Střední Čechy, with 0.3% in 2019.
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. 20 regions have no value for 2019 and are not ranked.