NUTS 3 areas of France by GDP per capita in purchasing power (EU = 100)
Paris had the highest GDP per capita in purchasing power (EU = 100) of 101 areas in 2022, at 308%. Mayotte had the lowest, at 27%. The median was 75% and the figure for France was 97%. Source: Eurostat, European Commission.
Top 40 areas, 2022
Full ranking
| Rank | Areas | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Paris Provisional | 308 | +2 pts |
| 2 | Hauts-de-Seine Provisional | 270 | -13 pts |
| 3 | Bouches-du-Rhône Provisional | 130 | +4 pts |
| 4 | Rhône Provisional | 129 | -7 pts |
| 5 | Val-de-Marne Provisional | 111 | +3 pts |
| 6 | Haute-Garonne Provisional | 110 | -4 pts |
| 7 | Essonne Provisional | 109 | -8 pts |
| 8 | Yvelines Provisional | 108 | -6 pts |
| 9 | Alpes-Maritimes Provisional | 105 | 0 pts |
| 9 | Savoie Provisional | 105 | +8 pts |
| 11 | Seine-Saint-Denis Provisional | 104 | -2 pts |
| 12 | Marne Provisional | 100 | +3 pts |
| 13 | Loire-Atlantique Provisional | 99 | -5 pts |
| 14 | Côte-d’Or Provisional | 98 | -4 pts |
| 15 | Gironde Provisional | 97 | -5 pts |
| 16 | Ille-et-Vilaine Provisional | 95 | -5 pts |
| 17 | Bas-Rhin Provisional | 94 | -5 pts |
| 17 | Isère Provisional | 94 | -5 pts |
| 19 | Corse-du-Sud Provisional | 91 | -5 pts |
| 20 | Drôme Provisional | 90 | -4 pts |
| 21 | Haute-Savoie Provisional | 88 | -1 pts |
| 21 | Loiret Provisional | 88 | -5 pts |
| 21 | Puy-de-Dôme Provisional | 88 | -5 pts |
| 21 | Seine-Maritime Provisional | 88 | -3 pts |
| 25 | Charente Provisional | 87 | -3 pts |
| 26 | Pyrénées-Atlantiques Provisional | 86 | -4 pts |
| 27 | Hérault Provisional | 85 | -5 pts |
| 27 | Mayenne Provisional | 85 | -4 pts |
| 27 | Vaucluse Provisional | 85 | -4 pts |
| 30 | Val-d’Oise Provisional | 84 | -2 pts |
| 31 | Calvados Provisional | 83 | -3 pts |
| 31 | Indre-et-Loire Provisional | 83 | -5 pts |
| 33 | Nord Provisional | 82 | -4 pts |
| 33 | Seine-et-Marne Provisional | 82 | 0 pts |
| 35 | Vendée Provisional | 81 | -4 pts |
| 36 | Deux-Sèvres Provisional | 80 | -4 pts |
| 36 | Finistère Provisional | 80 | -3 pts |
| 38 | Haut-Rhin Provisional | 79 | -2 pts |
| 38 | Hautes-Alpes Provisional | 79 | +1 pts |
| 38 | Vienne Provisional | 79 | -3 pts |
| 41 | Doubs Provisional | 78 | -6 pts |
| 41 | Maine-et-Loire Provisional | 78 | -4 pts |
| 41 | Somme Provisional | 78 | -1 pts |
| 44 | Morbihan Provisional | 77 | -3 pts |
| 44 | Saône-et-Loire Provisional | 77 | -2 pts |
| 44 | Var Provisional | 77 | -4 pts |
| 47 | Aube Provisional | 76 | +1 pts |
| 47 | Haute-Vienne Provisional | 76 | -8 pts |
| 47 | Loire Provisional | 76 | -5 pts |
| 47 | Lot Provisional | 76 | -10 pts |
| 51 | Charente-Maritime Provisional | 75 | -4 pts |
| 51 | Haute-Marne Provisional | 75 | +1 pts |
| 51 | Jura Provisional | 75 | +1 pts |
| 51 | Meurthe-et-Moselle Provisional | 75 | -3 pts |
| 55 | Eure-et-Loir Provisional | 74 | -2 pts |
| 55 | Loir-et-Cher Provisional | 74 | -4 pts |
| 55 | Manche Provisional | 74 | -5 pts |
| 58 | Alpes-de-Haute-Provence Provisional | 73 | -1 pts |
| 58 | Corrèze Provisional | 73 | -4 pts |
| 58 | Haute-Corse Provisional | 73 | -4 pts |
| 58 | Lot-et-Garonne Provisional | 73 | -4 pts |
| 58 | Lozère Provisional | 73 | -3 pts |
| 58 | Yonne Provisional | 73 | -1 pts |
| 64 | Côtes-d’Armor Provisional | 72 | -3 pts |
| 64 | Landes Provisional | 72 | -2 pts |
| 64 | Oise Provisional | 72 | -2 pts |
| 64 | Sarthe Provisional | 72 | -3 pts |
| 64 | Territoire de Belfort Provisional | 72 | -5 pts |
| 69 | Ardennes Provisional | 71 | -4 pts |
| 69 | Aveyron Provisional | 71 | -5 pts |
| 69 | Cher Provisional | 71 | -6 pts |
| 69 | Pyrénées-Orientales Provisional | 71 | -3 pts |
| 69 | Vosges Provisional | 71 | -2 pts |
| 74 | Gard Provisional | 70 | -4 pts |
| 75 | Ain Provisional | 69 | -4 pts |
| 75 | Allier Provisional | 69 | -4 pts |
| 75 | Eure Provisional | 69 | -2 pts |
| 75 | Hautes-Pyrénées Provisional | 69 | -3 pts |
| 75 | Nièvre Provisional | 69 | -2 pts |
| 75 | Orne Provisional | 69 | -1 pts |
| 81 | Martinique Provisional | 68 | 0 pts |
| 81 | Moselle Provisional | 68 | -4 pts |
| 83 | Cantal Provisional | 67 | -3 pts |
| 83 | Indre Provisional | 67 | -3 pts |
| 85 | Dordogne Provisional | 66 | -3 pts |
| 85 | Guadeloupe Provisional | 66 | -2 pts |
| 85 | Haute-Loire Provisional | 66 | -3 pts |
| 85 | Pas-de-Calais Provisional | 66 | -2 pts |
| 89 | Aisne Provisional | 64 | -1 pts |
| 89 | La Réunion Provisional | 64 | -2 pts |
| 89 | Tarn Provisional | 64 | -5 pts |
| 92 | Aude Provisional | 63 | -2 pts |
| 92 | Meuse Provisional | 63 | -2 pts |
| 94 | Haute-Saône Provisional | 62 | -3 pts |
| 94 | Tarn-et-Garonne Provisional | 62 | -5 pts |
| 96 | Ardèche Provisional | 61 | -5 pts |
| 96 | Ariège Provisional | 61 | -3 pts |
| 98 | Gers Provisional | 60 | -5 pts |
| 99 | Creuse Provisional | 59 | -2 pts |
| 100 | Guyane Provisional | 45 | -3 pts |
| 101 | Mayotte Provisional | 27 | -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 2022, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Mayotte, with 27% in 2022.
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)