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 2018, at 307%. Mayotte had the lowest, at 25%. The median was 79% and the figure for France was 103%. Source: Eurostat, European Commission.
Top 40 areas, 2018
Full ranking
| Rank | Areas | 2018 (%) | Change on 2017 |
|---|---|---|---|
| 1 | Paris | 307 | +6 pts |
| 2 | Hauts-de-Seine | 295 | +2 pts |
| 3 | Rhône | 138 | +2 pts |
| 4 | Haute-Garonne | 125 | +2 pts |
| 5 | Yvelines | 121 | -1 pts |
| 6 | Essonne | 117 | -1 pts |
| 7 | Seine-Saint-Denis | 116 | -1 pts |
| 8 | Val-de-Marne | 115 | -2 pts |
| 9 | Alpes-Maritimes | 114 | -1 pts |
| 10 | Savoie | 111 | 0 pts |
| 11 | Loire-Atlantique | 107 | 0 pts |
| 12 | Côte-d’Or | 105 | 0 pts |
| 13 | Gironde | 104 | +1 pts |
| 14 | Ille-et-Vilaine | 103 | -1 pts |
| 15 | Bas-Rhin | 102 | -1 pts |
| 16 | Bouches-du-Rhône | 101 | -2 pts |
| 16 | Marne | 101 | -1 pts |
| 18 | Isère | 100 | 0 pts |
| 19 | Corse-du-Sud | 97 | +3 pts |
| 19 | Haute-Savoie | 97 | 0 pts |
| 21 | Puy-de-Dôme | 96 | 0 pts |
| 22 | Drôme | 95 | -1 pts |
| 22 | Loiret | 95 | -2 pts |
| 22 | Vaucluse | 95 | -1 pts |
| 25 | Seine-Maritime | 93 | -3 pts |
| 26 | Pyrénées-Atlantiques | 91 | -1 pts |
| 26 | Val-d’Oise | 91 | -2 pts |
| 28 | Calvados | 90 | 0 pts |
| 28 | Hérault | 90 | 0 pts |
| 28 | Indre-et-Loire | 90 | 0 pts |
| 31 | Charente | 89 | 0 pts |
| 31 | Doubs | 89 | -1 pts |
| 33 | Nord | 88 | -1 pts |
| 33 | Seine-et-Marne | 88 | -1 pts |
| 35 | Mayenne | 87 | +1 pts |
| 35 | Vienne | 87 | -2 pts |
| 37 | Haut-Rhin | 86 | 0 pts |
| 38 | Vendée | 85 | 0 pts |
| 39 | Hautes-Alpes | 84 | 0 pts |
| 39 | Lot | 84 | 0 pts |
| 39 | Var | 84 | 0 pts |
| 42 | Deux-Sèvres | 83 | 0 pts |
| 42 | Finistère | 83 | -2 pts |
| 42 | Loire | 83 | 0 pts |
| 45 | Haute-Vienne | 81 | -1 pts |
| 45 | Somme | 81 | 0 pts |
| 47 | Maine-et-Loire | 80 | -2 pts |
| 47 | Meurthe-et-Moselle | 80 | -1 pts |
| 47 | Saône-et-Loire | 80 | -1 pts |
| 50 | Alpes-de-Haute-Provence | 79 | +1 pts |
| 50 | Aube | 79 | 0 pts |
| 50 | Charente-Maritime | 79 | 0 pts |
| 50 | Cher | 79 | -1 pts |
| 50 | Haute-Corse | 79 | -2 pts |
| 50 | Loir-et-Cher | 79 | -1 pts |
| 56 | Corrèze | 78 | -1 pts |
| 56 | Morbihan | 78 | -1 pts |
| 58 | Eure-et-Loir | 77 | -2 pts |
| 58 | Lot-et-Garonne | 77 | 0 pts |
| 58 | Manche | 77 | +1 pts |
| 58 | Oise | 77 | -3 pts |
| 58 | Sarthe | 77 | -2 pts |
| 63 | Ain | 76 | -1 pts |
| 63 | Aveyron | 76 | -1 pts |
| 63 | Côtes-d’Armor | 76 | -2 pts |
| 63 | Haute-Marne | 76 | -1 pts |
| 63 | Hautes-Pyrénées | 76 | 0 pts |
| 63 | Landes | 76 | 0 pts |
| 63 | Territoire de Belfort | 76 | -5 pts |
| 63 | Yonne | 76 | 0 pts |
| 71 | Ardennes | 75 | +1 pts |
| 71 | Jura | 75 | -3 pts |
| 71 | Lozère | 75 | -1 pts |
| 71 | Moselle | 75 | -2 pts |
| 71 | Vosges | 75 | 0 pts |
| 76 | Pyrénées-Orientales | 74 | -1 pts |
| 77 | Allier | 73 | -2 pts |
| 77 | Eure | 73 | 0 pts |
| 77 | Nièvre | 73 | -1 pts |
| 80 | Gard | 72 | -2 pts |
| 80 | Indre | 72 | -1 pts |
| 80 | Martinique | 72 | -1 pts |
| 80 | Orne | 72 | -2 pts |
| 84 | Cantal | 71 | -2 pts |
| 85 | Dordogne | 69 | -1 pts |
| 85 | Guadeloupe | 69 | 0 pts |
| 85 | Pas-de-Calais | 69 | -1 pts |
| 88 | Haute-Loire | 68 | -2 pts |
| 88 | Tarn | 68 | -2 pts |
| 90 | Ardèche | 67 | -1 pts |
| 91 | Aisne | 66 | -1 pts |
| 91 | Ariège | 66 | -1 pts |
| 91 | Aude | 66 | -2 pts |
| 94 | Gers | 65 | 0 pts |
| 94 | La Réunion | 65 | -1 pts |
| 94 | Tarn-et-Garonne | 65 | -1 pts |
| 97 | Meuse | 64 | -1 pts |
| 98 | Haute-Saône | 63 | -1 pts |
| 99 | Creuse | 62 | -2 pts |
| 100 | Guyane | 49 | 0 pts |
| 101 | Mayotte | 25 | -2 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 307% in 2018, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Mayotte, with 25% 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 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)