NUTS 3 areas of France by GDP per capita in purchasing power (EU = 100), 2024
Paris had the highest GDP per capita in purchasing power (EU = 100) of 101 areas in 2024, at 308%. Mayotte had the lowest, at 30%. The median was 78% and the figure for France was 98%. Source: Eurostat, European Commission.
Top 40 areas, 2024
Full ranking
| Rank | Areas | 2024 (%) | Change on 2023 |
|---|---|---|---|
| 1 | Paris Provisional | 308 | +7 pts |
| 2 | Hauts-de-Seine Provisional | 276 | -2 pts |
| 3 | Rhône Provisional | 133 | -1 pts |
| 4 | Haute-Garonne Provisional | 113 | -1 pts |
| 4 | Val-de-Marne Provisional | 113 | 0 pts |
| 6 | Seine-Saint-Denis Provisional | 111 | 0 pts |
| 7 | Essonne Provisional | 109 | -3 pts |
| 7 | Savoie Provisional | 109 | -1 pts |
| 9 | Yvelines Provisional | 108 | -2 pts |
| 10 | Alpes-Maritimes Provisional | 106 | -2 pts |
| 10 | Bouches-du-Rhône Provisional | 106 | 0 pts |
| 12 | Marne Provisional | 103 | -1 pts |
| 13 | Côte-d’Or Provisional | 99 | 0 pts |
| 14 | Gironde Provisional | 98 | -2 pts |
| 14 | Loire-Atlantique Provisional | 98 | -1 pts |
| 16 | Ille-et-Vilaine Provisional | 97 | 0 pts |
| 17 | Corse-du-Sud Provisional | 96 | +1 pts |
| 18 | Bas-Rhin Provisional | 95 | -1 pts |
| 18 | Isère Provisional | 95 | -2 pts |
| 20 | Drôme Provisional | 94 | -2 pts |
| 21 | Haute-Savoie Provisional | 90 | -1 pts |
| 21 | Loiret Provisional | 90 | -1 pts |
| 21 | Puy-de-Dôme Provisional | 90 | -1 pts |
| 24 | Indre-et-Loire Provisional | 89 | -2 pts |
| 24 | Seine-Maritime Provisional | 89 | -1 pts |
| 26 | Mayenne Provisional | 87 | -1 pts |
| 26 | Pyrénées-Atlantiques Provisional | 87 | -1 pts |
| 26 | Val-d’Oise Provisional | 87 | +2 pts |
| 29 | Vaucluse Provisional | 86 | -1 pts |
| 29 | Vienne Provisional | 86 | -2 pts |
| 31 | Calvados Provisional | 85 | -1 pts |
| 31 | Charente Provisional | 85 | -3 pts |
| 31 | Hérault Provisional | 85 | -3 pts |
| 31 | Seine-et-Marne Provisional | 85 | -1 pts |
| 35 | Hautes-Alpes Provisional | 82 | 0 pts |
| 35 | Nord Provisional | 82 | -2 pts |
| 35 | Vendée Provisional | 82 | -2 pts |
| 38 | Deux-Sèvres Provisional | 80 | -2 pts |
| 38 | Finistère Provisional | 80 | 0 pts |
| 38 | Haut-Rhin Provisional | 80 | -3 pts |
| 38 | Manche Provisional | 80 | -2 pts |
| 38 | Morbihan Provisional | 80 | -1 pts |
| 38 | Somme Provisional | 80 | 0 pts |
| 44 | Lot Provisional | 79 | -1 pts |
| 44 | Maine-et-Loire Provisional | 79 | -1 pts |
| 46 | Aube Provisional | 78 | -2 pts |
| 46 | Doubs Provisional | 78 | -1 pts |
| 46 | Loir-et-Cher Provisional | 78 | -2 pts |
| 46 | Meurthe-et-Moselle Provisional | 78 | -1 pts |
| 46 | Saône-et-Loire Provisional | 78 | 0 pts |
| 46 | Var Provisional | 78 | -1 pts |
| 52 | Haute-Corse Provisional | 77 | -1 pts |
| 52 | Haute-Vienne Provisional | 77 | -2 pts |
| 52 | Loire Provisional | 77 | -1 pts |
| 55 | Corrèze Provisional | 76 | -2 pts |
| 55 | Jura Provisional | 76 | -1 pts |
| 55 | Territoire de Belfort Provisional | 76 | -1 pts |
| 58 | Charente-Maritime Provisional | 75 | -2 pts |
| 58 | Cher Provisional | 75 | -2 pts |
| 58 | Lot-et-Garonne Provisional | 75 | 0 pts |
| 61 | Alpes-de-Haute-Provence Provisional | 74 | -1 pts |
| 61 | Ardennes Provisional | 74 | -2 pts |
| 63 | Ain Provisional | 73 | -2 pts |
| 63 | Côtes-d’Armor Provisional | 73 | -2 pts |
| 63 | Eure-et-Loir Provisional | 73 | -1 pts |
| 63 | Haute-Marne Provisional | 73 | -1 pts |
| 63 | Oise Provisional | 73 | -1 pts |
| 63 | Sarthe Provisional | 73 | -1 pts |
| 63 | Yonne Provisional | 73 | -1 pts |
| 70 | Gard Provisional | 72 | -1 pts |
| 70 | Hautes-Pyrénées Provisional | 72 | 0 pts |
| 70 | Vosges Provisional | 72 | -1 pts |
| 73 | Allier Provisional | 71 | -2 pts |
| 73 | Aveyron Provisional | 71 | -2 pts |
| 73 | Landes Provisional | 71 | -2 pts |
| 73 | Lozère Provisional | 71 | -3 pts |
| 77 | Eure Provisional | 70 | -1 pts |
| 77 | Moselle Provisional | 70 | -1 pts |
| 77 | Pyrénées-Orientales Provisional | 70 | -2 pts |
| 80 | Martinique Provisional | 69 | +1 pts |
| 81 | Cantal Provisional | 68 | -2 pts |
| 81 | Haute-Loire Provisional | 68 | -1 pts |
| 81 | Nièvre Provisional | 68 | -1 pts |
| 81 | Orne Provisional | 68 | -1 pts |
| 81 | Pas-de-Calais Provisional | 68 | 0 pts |
| 86 | Guadeloupe Provisional | 67 | +1 pts |
| 86 | Indre Provisional | 67 | -2 pts |
| 88 | Aisne Provisional | 66 | -1 pts |
| 88 | Ardèche Provisional | 66 | -2 pts |
| 88 | Dordogne Provisional | 66 | -2 pts |
| 88 | Tarn Provisional | 66 | -2 pts |
| 92 | Tarn-et-Garonne Provisional | 65 | -2 pts |
| 93 | Ariège Provisional | 63 | -1 pts |
| 93 | Aude Provisional | 63 | -1 pts |
| 93 | La Réunion Provisional | 63 | -1 pts |
| 96 | Meuse Provisional | 62 | -1 pts |
| 97 | Gers Provisional | 61 | 0 pts |
| 98 | Creuse Provisional | 60 | -1 pts |
| 98 | Haute-Saône Provisional | 60 | -2 pts |
| 100 | Guyane Provisional | 41 | -1 pts |
| 101 | Mayotte Provisional | 30 | +1 pts |
Other periods
About this ranking
GDP per inhabitant in purchasing power standards as a percentage of the EU27 average.
Every value in the ranking comes from the same publisher and the same period, so the areas are compared on one definition. Equal values share a rank.
How to cite
Eurostat. GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). https://ec.europa.eu/eurostat/databrowser/view/nama_10r_3gdp/default/table. Retrieved 2026-10-08.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 NUTS 3 areas of France by GDP per capita in purchasing power (EU = 100) using official data, and cite the source.
rank_places {"indicator":"gdp_per_capita_pps","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=gdp_per_capita_pps&level=province&within=France&limit=10Questions
Which area has the highest GDP per capita in purchasing power (EU = 100)?
Paris, with 308% in 2024, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Mayotte, with 30% in 2024.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). Retrieved 2026-10-08.
GDP per capita in PPS (EU27 = 100): other rankings
- EU countries
- EU regions (NUTS 2)
- Autonomous communities of Spain
- Provinces 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)
- Regions of Austria (NUTS 2)