EU regions (NUTS 2) by real GDP growth
Prov. Brabant wallon had the highest real GDP growth of 244 regions in 2018, at 11%. Åland had the lowest, at -7.5%. The median was 2% and the figure for the European Union (27) was 2.1%. Source: Eurostat, European Commission.
Top 40 regions, 2018
Full ranking
| Rank | Regions | 2018 (%) | Change on 2017 |
|---|---|---|---|
| 1 | Prov. Brabant wallon Estimated | 11 | +7.8 pts |
| 2 | Eastern and Midland Estimated | 10.9 | +0.8 pts |
| 3 | Severozapaden Estimated | 9.8 | +5.2 pts |
| 4 | Warszawski stołeczny Estimated | 9.1 | +2.3 pts |
| 5 | Bucureşti-Ilfov Estimated | 8.2 | -4.8 pts |
| 5 | Vest Estimated | 8.2 | +0.7 pts |
| 7 | Dél-Alföld Estimated | 7.4 | +4.9 pts |
| 8 | Sostinės regionas Estimated | 7.3 | +2.3 pts |
| 9 | Malta Estimated | 7.2 | -5.8 pts |
| 9 | Podkarpackie Estimated | 7.2 | +2.4 pts |
| 11 | Małopolskie Estimated | 7 | +0.8 pts |
| 12 | Centru Estimated | 6.8 | -0.1 pts |
| 12 | Pomorskie Estimated | 6.8 | +1.9 pts |
| 14 | Świętokrzyskie Estimated | 6.6 | +2.7 pts |
| 15 | Pest Estimated | 6.5 | +2.5 pts |
| 16 | Kujawsko-pomorskie Estimated | 6.3 | +2.1 pts |
| 16 | Kýpros Estimated | 6.3 | +0.5 pts |
| 18 | Észak-Alföld Estimated | 6.2 | +1.6 pts |
| 19 | Budapest Estimated | 6.1 | +0.8 pts |
| 19 | Śląskie Estimated | 6.1 | +1.6 pts |
| 21 | Zachodniopomorskie Estimated | 5.8 | +0.6 pts |
| 22 | Dél-Dunántúl Estimated | 5.6 | +1 pts |
| 22 | Podlaskie Estimated | 5.6 | 0 pts |
| 24 | Dolnośląskie Estimated | 5.5 | +0.5 pts |
| 24 | Východné Slovensko Estimated | 5.5 | -0.5 pts |
| 24 | Wielkopolskie Estimated | 5.5 | 0 pts |
| 27 | Opolskie Estimated | 5.2 | +0.5 pts |
| 28 | Łódzkie Estimated | 5.1 | +0.5 pts |
| 29 | Közép-Dunántúl Estimated | 4.8 | +3.3 pts |
| 29 | Zahodna Slovenija Estimated | 4.8 | -0.6 pts |
| 31 | Praha Estimated | 4.7 | +0.1 pts |
| 31 | Stredné Slovensko Estimated | 4.7 | +2.2 pts |
| 33 | Nord-Vest Estimated | 4.6 | -8.8 pts |
| 34 | Latvija Estimated | 4.5 | +1 pts |
| 34 | Lubuskie Estimated | 4.5 | +0.4 pts |
| 36 | Észak-Magyarország Estimated | 4.4 | -1.6 pts |
| 36 | Sjeverna Hrvatska Estimated | 4.4 | -0.3 pts |
| 38 | Braunschweig Estimated | 4.3 | +6.7 pts |
| 38 | Península de Setúbal | 4.3 | -0.6 pts |
| 40 | Sud-Vest Oltenia Estimated | 4.2 | -2.3 pts |
| 41 | Grad Zagreb Estimated | 4.1 | +0.5 pts |
| 41 | Northern and Western Estimated | 4.1 | +0.8 pts |
| 43 | Sterea Elláda Estimated | 4 | +0.5 pts |
| 44 | Stockholm Estimated | 3.9 | +3.2 pts |
| 44 | Warmińsko-mazurskie Estimated | 3.9 | -0.1 pts |
| 46 | Sud-Est Estimated | 3.8 | -1.9 pts |
| 46 | Vzhodna Slovenija Estimated | 3.8 | -1.1 pts |
| 46 | Yuzhen tsentralen Estimated | 3.8 | +1.8 pts |
| 49 | Eesti Estimated | 3.7 | -1.9 pts |
| 49 | Noord-Holland Estimated | 3.7 | -0.1 pts |
| 49 | Norte | 3.7 | +0.3 pts |
| 49 | Southern Estimated | 3.7 | -7.9 pts |
| 53 | Lubelskie Estimated | 3.6 | -0.6 pts |
| 53 | Západné Slovensko Estimated | 3.6 | +2.2 pts |
| 55 | Mazowiecki regionalny Estimated | 3.5 | -0.1 pts |
| 55 | Thessalia Estimated | 3.5 | +3.2 pts |
| 57 | Provincia Autonoma di Bolzano/Bozen Estimated | 3.3 | +1.5 pts |
| 57 | Severoiztochen Estimated | 3.3 | +1.1 pts |
| 57 | Vidurio ir vakarų Lietuvos regionas Estimated | 3.3 | -1 pts |
| 60 | Berlin Estimated | 3.2 | -0.7 pts |
| 60 | Flevoland Estimated | 3.2 | +0.6 pts |
| 60 | Kärnten Estimated | 3.2 | -0.2 pts |
| 60 | Oberösterreich Estimated | 3.2 | +0.4 pts |
| 64 | Bratislavský kraj Estimated | 3.1 | +0.7 pts |
| 64 | Jihovýchod Estimated | 3.1 | -1.4 pts |
| 66 | Balearic Islands | 3 | 0 pts |
| 66 | Centro (PT) | 3 | +0.1 pts |
| 66 | Community of Madrid | 3 | -0.8 pts |
| 66 | Grande Lisboa | 3 | -0.1 pts |
| 66 | Hovedstaden Estimated | 3 | -0.8 pts |
| 66 | Kentriki Makedonia Estimated | 3 | +2.3 pts |
| 72 | Castile and León | 2.9 | +1.7 pts |
| 72 | Midi-Pyrénées | 2.9 | +1.2 pts |
| 72 | Notio Aigaio Estimated | 2.9 | +2 pts |
| 72 | Provincia Autonoma di Trento Estimated | 2.9 | +1.6 pts |
| 72 | Tirol Estimated | 2.9 | +0.3 pts |
| 72 | Wien Estimated | 2.9 | +2.9 pts |
| 78 | Castilla-La Mancha | 2.8 | +0.8 pts |
| 78 | Corse | 2.8 | -0.2 pts |
| 78 | Rhône-Alpes | 2.8 | +0.5 pts |
| 78 | Utrecht Estimated | 2.8 | -2 pts |
| 78 | Zeeland Estimated | 2.8 | +0.4 pts |
| 83 | Noord-Brabant Estimated | 2.7 | -1.2 pts |
| 83 | Prov. Hainaut Estimated | 2.7 | +2.2 pts |
| 83 | Stuttgart Estimated | 2.7 | -2.2 pts |
| 86 | Aragon | 2.6 | +0.1 pts |
| 86 | Overijssel Estimated | 2.6 | -0.2 pts |
| 88 | Andalusia | 2.5 | 0 pts |
| 88 | Moravskoslezsko Estimated | 2.5 | -0.6 pts |
| 88 | Nyugat-Dunántúl Estimated | 2.5 | +0.4 pts |
| 88 | Střední Čechy Estimated | 2.5 | -4.8 pts |
| 92 | Basilicata Estimated | 2.4 | +2.2 pts |
| 92 | Canary Islands | 2.4 | -1.3 pts |
| 92 | Drenthe Estimated | 2.4 | +0.7 pts |
| 92 | Gelderland Estimated | 2.4 | +0.5 pts |
| 92 | Ipeiros Estimated | 2.4 | +2.9 pts |
| 92 | Lüneburg Estimated | 2.4 | +0.3 pts |
| 92 | Melilla | 2.4 | 0 pts |
| 92 | Severovýchod Estimated | 2.4 | -5.1 pts |
| 100 | Algarve | 2.3 | -2.7 pts |
| 100 | Aquitaine | 2.3 | +0.4 pts |
| 100 | Catalonia | 2.3 | -0.5 pts |
| 100 | Jihozápad Estimated | 2.3 | -4 pts |
| 100 | Prov. Antwerpen Estimated | 2.3 | +1.2 pts |
| 100 | Sud-Muntenia Estimated | 2.3 | +2.2 pts |
| 106 | Alsace | 2.2 | +0.1 pts |
| 106 | Cantabria | 2.2 | -0.8 pts |
| 106 | Niederösterreich Estimated | 2.2 | -0.9 pts |
| 106 | Salzburg Estimated | 2.2 | -0.3 pts |
| 106 | Severen tsentralen Estimated | 2.2 | -0.1 pts |
| 106 | Valencian Community | 2.2 | -1.2 pts |
| 112 | Basque Country | 2.1 | -0.3 pts |
| 112 | Ceuta | 2.1 | -0.2 pts |
| 112 | Galicia | 2.1 | -0.4 pts |
| 112 | Helsinki-Uusimaa Estimated | 2.1 | -1.2 pts |
| 112 | Ile-de-France | 2.1 | +0.2 pts |
| 112 | Mittelfranken Estimated | 2.1 | -1.3 pts |
| 112 | Prov. Luxembourg (BE) Estimated | 2.1 | +1.1 pts |
| 119 | Anatoliki Makedonia, Thraki Estimated | 2 | +2.7 pts |
| 119 | Ionia Nisia Estimated | 2 | +1.4 pts |
| 119 | Köln Estimated | 2 | -1.5 pts |
| 119 | Tübingen Estimated | 2 | -0.6 pts |
| 123 | Attiki Estimated | 1.9 | 0 pts |
| 123 | Freiburg Estimated | 1.9 | -1.2 pts |
| 123 | Karlsruhe Estimated | 1.9 | -1.6 pts |
| 123 | La Rioja | 1.9 | +1.1 pts |
| 123 | Navarre | 1.9 | -1.7 pts |
| 123 | Prov. Limburg (BE) Estimated | 1.9 | -0.4 pts |
| 123 | Prov. Namur Estimated | 1.9 | +1.7 pts |
| 123 | Sydsverige Estimated | 1.9 | -1 pts |
| 131 | Pays de la Loire | 1.8 | -0.5 pts |
| 131 | Umbria Estimated | 1.8 | +0.3 pts |
| 133 | Jadranska Hrvatska Estimated | 1.7 | -2.1 pts |
| 133 | Limburg (NL) Estimated | 1.7 | -0.1 pts |
| 133 | Panonska Hrvatska Estimated | 1.7 | +1.1 pts |
| 133 | Prov. Liège Estimated | 1.7 | +0.1 pts |
| 137 | Asturias | 1.6 | -0.5 pts |
| 137 | Basse-Normandie | 1.6 | +2.7 pts |
| 137 | Extremadura | 1.6 | -2.1 pts |
| 137 | Lombardia Estimated | 1.6 | -0.5 pts |
| 137 | Luxembourg Estimated | 1.6 | +0.3 pts |
| 137 | Poitou-Charentes | 1.6 | -0.8 pts |
| 137 | Prov. Vlaams-Brabant Estimated | 1.6 | +0.6 pts |
| 137 | Střední Morava Estimated | 1.6 | -4.2 pts |
| 137 | Vorarlberg Estimated | 1.6 | -1.5 pts |
| 137 | Voreio Aigaio Estimated | 1.6 | +1.9 pts |
| 147 | Dresden Estimated | 1.5 | -0.8 pts |
| 147 | Midtjylland Estimated | 1.5 | -1.5 pts |
| 147 | Molise Estimated | 1.5 | -0.4 pts |
| 150 | Arnsberg Estimated | 1.4 | -1.1 pts |
| 150 | Friesland (NL) Estimated | 1.4 | -0.3 pts |
| 150 | Gießen Estimated | 1.4 | -2.4 pts |
| 150 | Languedoc-Roussillon | 1.4 | -0.7 pts |
| 150 | Provence-Alpes-Côte d’Azur | 1.4 | -0.7 pts |
| 150 | Região Autónoma dos Açores | 1.4 | +0.4 pts |
| 150 | Sjælland Estimated | 1.4 | -2.4 pts |
| 157 | Bourgogne | 1.3 | -1.9 pts |
| 157 | Detmold Estimated | 1.3 | -0.8 pts |
| 157 | Emilia-Romagna Estimated | 1.3 | -1 pts |
| 157 | Friuli-Venezia Giulia Estimated | 1.3 | -0.4 pts |
| 157 | Kriti Estimated | 1.3 | -1.7 pts |
| 157 | Oberfranken Estimated | 1.3 | -2.2 pts |
| 157 | Oeste e Vale do Tejo | 1.3 | -1.4 pts |
| 157 | Região Autónoma da Madeira | 1.3 | -3.6 pts |
| 157 | Yugozapaden Estimated | 1.3 | -1.9 pts |
| 166 | Auvergne | 1.2 | -3.4 pts |
| 166 | Burgenland Estimated | 1.2 | -1.6 pts |
| 166 | Düsseldorf Estimated | 1.2 | -1.6 pts |
| 166 | Kassel Estimated | 1.2 | +1.4 pts |
| 166 | Östra Mellansverige Estimated | 1.2 | -1.7 pts |
| 166 | Steiermark Estimated | 1.2 | -2.6 pts |
| 166 | Toscana Estimated | 1.2 | -0.3 pts |
| 166 | Trier Estimated | 1.2 | +1.5 pts |
| 166 | Zuid-Holland Estimated | 1.2 | -0.3 pts |
| 175 | Champagne-Ardenne | 1.1 | -1.6 pts |
| 175 | Guadeloupe | 1.1 | +0.9 pts |
| 175 | Syddanmark Estimated | 1.1 | -1.2 pts |
| 175 | Västsverige Estimated | 1.1 | -0.5 pts |
| 179 | Mayotte | 1 | -15.9 pts |
| 179 | Nord-Pas de Calais | 1 | -1 pts |
| 179 | Prov. West-Vlaanderen Estimated | 1 | -0.1 pts |
| 182 | Länsi-Suomi Estimated | 0.9 | -2.1 pts |
| 182 | Leipzig Estimated | 0.9 | -2.6 pts |
| 182 | Nord-Est Estimated | 0.9 | -4.1 pts |
| 182 | Nordjylland Estimated | 0.9 | -2.5 pts |
| 182 | Peloponnisos Estimated | 0.9 | -1.6 pts |
| 182 | Veneto Estimated | 0.9 | -1.2 pts |
| 188 | Hannover Estimated | 0.8 | -0.9 pts |
| 188 | Koblenz Estimated | 0.8 | -2.6 pts |
| 188 | La Réunion | 0.8 | -1.7 pts |
| 188 | Piemonte Estimated | 0.8 | -2.1 pts |
| 188 | Pohjois- ja Itä-Suomi Estimated | 0.8 | -1.8 pts |
| 188 | Valle d’Aosta/Vallée d’Aoste Estimated | 0.8 | -1.7 pts |
| 194 | Bretagne | 0.7 | -2.4 pts |
| 194 | Darmstadt Estimated | 0.7 | -1.6 pts |
| 194 | Puglia Estimated | 0.7 | +0.3 pts |
| 194 | Schleswig-Holstein Estimated | 0.7 | -2.5 pts |
| 198 | Centre - Val de Loire | 0.6 | -1.1 pts |
| 198 | Oberpfalz Estimated | 0.6 | -4 pts |
| 198 | Prov. Oost-Vlaanderen Estimated | 0.6 | -1.7 pts |
| 198 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Estimated | 0.6 | -1.1 pts |
| 202 | Alentejo | 0.5 | -3 pts |
| 202 | Marche Estimated | 0.5 | -1.2 pts |
| 202 | Schwaben Estimated | 0.5 | -1.7 pts |
| 205 | Hamburg Estimated | 0.4 | -1.2 pts |
| 205 | Weser-Ems Estimated | 0.4 | -2 pts |
| 207 | Brandenburg Estimated | 0.3 | -2.7 pts |
| 207 | Campania Estimated | 0.3 | -0.8 pts |
| 207 | Chemnitz Estimated | 0.3 | -1.3 pts |
| 207 | Etelä-Suomi Estimated | 0.3 | -4.2 pts |
| 207 | Lorraine | 0.3 | -1.7 pts |
| 207 | Norra Mellansverige Estimated | 0.3 | -1 pts |
| 213 | Bremen Estimated | 0.2 | -0.8 pts |
| 213 | Lazio Estimated | 0.2 | -0.6 pts |
| 213 | Oberbayern Estimated | 0.2 | -3.9 pts |
| 213 | Unterfranken Estimated | 0.2 | -2.7 pts |
| 217 | Sardegna Estimated | 0.1 | -0.5 pts |
| 217 | Yugoiztochen Estimated | 0.1 | -1.5 pts |
| 219 | Dytiki Elláda Estimated | -0.1 | -0.7 pts |
| 219 | Münster Estimated | -0.1 | -3.1 pts |
| 219 | Övre Norrland Estimated | -0.1 | -3.3 pts |
| 219 | Thüringen Estimated | -0.1 | -1.8 pts |
| 223 | Limousin | -0.2 | -2.6 pts |
| 223 | Region of Murcia | -0.2 | -3.3 pts |
| 225 | Abruzzo Estimated | -0.4 | -0.8 pts |
| 225 | Dytiki Makedonia Estimated | -0.4 | -0.1 pts |
| 225 | Franche-Comté | -0.4 | -1.7 pts |
| 225 | Niederbayern Estimated | -0.4 | -4.3 pts |
| 229 | Mellersta Norrland Estimated | -0.5 | -2.5 pts |
| 229 | Rheinhessen-Pfalz Estimated | -0.5 | -1.1 pts |
| 229 | Saarland Estimated | -0.5 | -2.9 pts |
| 232 | Haute-Normandie | -0.6 | -1.9 pts |
| 232 | Sachsen-Anhalt Estimated | -0.6 | -2.1 pts |
| 234 | Liguria Estimated | -0.7 | -2 pts |
| 234 | Severozápad Estimated | -0.7 | -2.8 pts |
| 234 | Småland med öarna Estimated | -0.7 | -4.3 pts |
| 237 | Martinique | -0.8 | -1.7 pts |
| 237 | Picardie | -0.8 | -3.9 pts |
| 239 | Calabria Estimated | -1.1 | -1.5 pts |
| 239 | Sicilia Estimated | -1.1 | -1.5 pts |
| 241 | Guyane | -1.5 | +1.9 pts |
| 242 | Mecklenburg-Vorpommern Estimated | -1.6 | -6.2 pts |
| 243 | Groningen Estimated | -3.2 | -3.8 pts |
| 244 | Åland Estimated | -7.5 | -8.1 pts |
Other periods
About this ranking
Annual percentage change of GDP in chain-linked volumes, or at constant prices in the World Bank series.
Each value comes from one official source for that place: national statistics offices, Eurostat, for the United States the Bureau of Economic Analysis or, for other countries and the World, the World Bank. Annual values compare one calendar year with the previous one; quarterly values compare a quarter with the same quarter a year earlier. Past values can be revised. United States figures come from BEA tables SAGDP11 for the nation and states and CAGDP11 for counties. Growth in small counties can swing widely from year to year.
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. GDP in volume by NUTS 2 region, percentage change on previous year (nama_10r_2gvagr). https://ec.europa.eu/eurostat/databrowser/view/nama_10r_2gvagr/default/table. Retrieved 2026-10-09.
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 real GDP growth using official data, and cite the source.
rank_places {"indicator":"gdp_growth","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=gdp_growth&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest real GDP growth?
Prov. Brabant wallon, with 11% in 2018, according to Eurostat, European Commission.
Which region has the lowest real GDP growth?
Åland, with -7.5% in 2018.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, GDP in volume by NUTS 2 region, percentage change on previous year (nama_10r_2gvagr). Retrieved 2026-10-09.
Real GDP growth: other rankings
- Countries
- EU countries
- US states
- US counties
- Autonomous communities of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)
- Regions of Greece (NUTS 2)
- Regions of Netherlands (NUTS 2)
- Regions of Belgium (NUTS 2)
EU regions (NUTS 2): more rankings
- Active companies
- Activity rate
- At-risk-of-poverty rate
- Average age
- Average home mortgage amount
- Live births
- New companies created
- Inflation (CPI annual change)
- Consumer price index (CPI)
- Crude birth rate
- Crude death rate
- Deaths
- Dependency ratio
- Age dependency ratio (ages 15 to 64 base)
- Employment rate
- Enterprises using artificial intelligence