NUTS 3 areas of France by GDP per capita (euros)
Paris had the highest GDP per capita (euros) of 101 areas in 2019, at €109,500. Mayotte had the lowest, at €9,100. The median was €27,800 and the figure for France was €36,090. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Paris | 109,500 | +4.5% |
| 2 | Hauts-de-Seine | 106,100 | +5.3% |
| 3 | Rhône | 48,200 | +2.1% |
| 4 | Haute-Garonne | 43,800 | +2.6% |
| 5 | Yvelines | 42,800 | +3.1% |
| 6 | Essonne | 41,300 | +3% |
| 7 | Seine-Saint-Denis | 40,400 | +2% |
| 8 | Val-de-Marne | 40,100 | +2.3% |
| 9 | Alpes-Maritimes | 40,000 | +2.8% |
| 10 | Savoie | 39,000 | +2.4% |
| 11 | Loire-Atlantique | 38,000 | +3.8% |
| 12 | Côte-d’Or | 36,500 | +1.7% |
| 13 | Gironde | 36,200 | +2% |
| 14 | Ille-et-Vilaine | 35,800 | +2.3% |
| 15 | Bas-Rhin | 35,700 | +2% |
| 16 | Isère | 35,000 | +2.6% |
| 17 | Bouches-du-Rhône | 34,900 | +1.2% |
| 18 | Marne | 34,800 | +1.2% |
| 19 | Corse-du-Sud | 33,900 | +2.4% |
| 19 | Puy-de-Dôme | 33,900 | +3.4% |
| 21 | Drôme | 33,700 | +3.7% |
| 21 | Haute-Savoie | 33,700 | +1.8% |
| 23 | Vaucluse | 33,400 | +2.8% |
| 24 | Loiret | 33,200 | +1.8% |
| 25 | Pyrénées-Atlantiques | 32,500 | +4.5% |
| 26 | Val-d’Oise | 32,300 | +3.5% |
| 27 | Seine-Maritime | 32,200 | +1.6% |
| 28 | Seine-et-Marne | 31,600 | +5.7% |
| 29 | Charente | 31,500 | +3.6% |
| 30 | Calvados | 31,400 | +1.9% |
| 31 | Hérault | 31,300 | +2% |
| 31 | Indre-et-Loire | 31,300 | +2% |
| 33 | Doubs | 31,100 | +2.6% |
| 34 | Vienne | 30,600 | +3.4% |
| 35 | Nord | 30,500 | +1.3% |
| 36 | Mayenne | 30,400 | +2.7% |
| 37 | Haut-Rhin | 30,000 | +1.7% |
| 38 | Hautes-Alpes | 29,900 | +3.8% |
| 39 | Haute-Vienne | 29,700 | +6.8% |
| 39 | Lot | 29,700 | +3.5% |
| 39 | Vendée | 29,700 | +2.4% |
| 42 | Var | 29,600 | +2.8% |
| 43 | Finistère | 29,400 | +3.9% |
| 44 | Deux-Sèvres | 29,100 | +2.5% |
| 45 | Loire | 28,900 | +2.1% |
| 46 | Maine-et-Loire | 28,400 | +3.3% |
| 47 | Somme | 28,300 | +2.5% |
| 48 | Meurthe-et-Moselle | 28,000 | +2.6% |
| 49 | Saône-et-Loire | 27,900 | +1.8% |
| 49 | Territoire de Belfort | 27,900 | +7.7% |
| 51 | Charente-Maritime | 27,800 | +2.6% |
| 51 | Cher | 27,800 | +2.6% |
| 53 | Loir-et-Cher | 27,600 | +3% |
| 54 | Alpes-de-Haute-Provence | 27,500 | +1.5% |
| 55 | Corrèze | 27,400 | +2.6% |
| 55 | Haute-Corse | 27,400 | +1.9% |
| 55 | Morbihan | 27,400 | +2.6% |
| 58 | Manche | 27,200 | +3.4% |
| 59 | Aube | 27,100 | 0% |
| 59 | Eure-et-Loir | 27,100 | +3% |
| 59 | Lot-et-Garonne | 27,100 | +3.4% |
| 62 | Sarthe | 27,000 | +1.9% |
| 63 | Côtes-d’Armor | 26,900 | +3.5% |
| 64 | Oise | 26,800 | +2.3% |
| 65 | Ain | 26,700 | +2.3% |
| 65 | Landes | 26,700 | +2.7% |
| 67 | Hautes-Pyrénées | 26,500 | +2.7% |
| 68 | Ardennes | 26,400 | +3.5% |
| 68 | Aveyron | 26,400 | +2.3% |
| 68 | Haute-Marne | 26,400 | +2.3% |
| 71 | Jura | 26,300 | +2.3% |
| 72 | Pyrénées-Orientales | 26,200 | +3.1% |
| 72 | Yonne | 26,200 | +0.8% |
| 74 | Vosges | 26,000 | +2% |
| 75 | Lozère | 25,900 | +1.6% |
| 75 | Moselle | 25,900 | +1.2% |
| 77 | Eure | 25,800 | +3.2% |
| 78 | Gard | 25,600 | +4.1% |
| 79 | Allier | 25,400 | +2.4% |
| 79 | Indre | 25,400 | +2.8% |
| 79 | Nièvre | 25,400 | +2.4% |
| 82 | Orne | 25,300 | +2.4% |
| 83 | Cantal | 24,800 | +2.1% |
| 84 | Martinique | 24,700 | -0.4% |
| 85 | Guadeloupe | 24,400 | +3.8% |
| 85 | Pas-de-Calais | 24,400 | +3.4% |
| 87 | Haute-Loire | 24,200 | +3.4% |
| 88 | Dordogne | 24,100 | +1.7% |
| 89 | Tarn | 24,000 | +3.4% |
| 90 | Ardèche | 23,800 | +3.5% |
| 91 | Ariège | 23,200 | +3.1% |
| 91 | Aude | 23,200 | +2.7% |
| 93 | Aisne | 23,100 | +3.1% |
| 94 | Meuse | 22,900 | +4.6% |
| 95 | La Réunion | 22,700 | +2.7% |
| 95 | Tarn-et-Garonne | 22,700 | +1.3% |
| 97 | Gers | 22,500 | +0.9% |
| 97 | Haute-Saône | 22,500 | +4.7% |
| 99 | Creuse | 21,900 | +3.3% |
| 100 | Guyane | 17,500 | +4.2% |
| 101 | Mayotte | 9,100 | +5.8% |
Other periods
About this ranking
GDP at current market prices divided by population, EUR per inhabitant.
In euros, for Spain and the EU. For the United States, its states and counties, and for other countries and the World, in US dollars use gdp_per_capita_usd.
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 at current market prices by NUTS 3 region, EUR per inhabitant (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 (euros) using official data, and cite the source.
rank_places {"indicator":"gdp_per_capita","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=gdp_per_capita&level=province&within=France&limit=10Questions
Which area has the highest GDP per capita (euros)?
Paris, with €109,500 in 2019, according to Eurostat, European Commission.
Which area has the lowest GDP per capita (euros)?
Mayotte, with €9,100 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, GDP at current market prices by NUTS 3 region, EUR per inhabitant (nama_10r_3gdp). Retrieved 2026-10-08.
GDP per capita: 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)