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 2020, at 308%. Mayotte had the lowest, at 28%. The median was 82% and the figure for France was 104%. Source: Eurostat, European Commission.
Top 40 areas, 2020
Full ranking
| Rank | Areas | 2020 (%) | Change on 2019 |
|---|---|---|---|
| 1 | Paris | 308 | -10 pts |
| 2 | Hauts-de-Seine | 295 | -13 pts |
| 3 | Rhône | 138 | -2 pts |
| 4 | Essonne | 123 | +3 pts |
| 5 | Yvelines | 119 | -5 pts |
| 6 | Haute-Garonne | 117 | -10 pts |
| 7 | Val-de-Marne | 114 | -3 pts |
| 8 | Savoie | 111 | -2 pts |
| 9 | Alpes-Maritimes | 110 | -6 pts |
| 10 | Loire-Atlantique | 108 | -2 pts |
| 11 | Côte-d’Or | 106 | 0 pts |
| 11 | Mayenne | 106 | +18 pts |
| 13 | Seine-Saint-Denis | 105 | -13 pts |
| 14 | Gironde | 104 | -1 pts |
| 15 | Bas-Rhin | 103 | -1 pts |
| 15 | Bouches-du-Rhône | 103 | +2 pts |
| 15 | Ille-et-Vilaine | 103 | -1 pts |
| 15 | Isère | 103 | +1 pts |
| 19 | Marne | 100 | -1 pts |
| 20 | Drôme | 99 | +1 pts |
| 21 | Vaucluse | 98 | +1 pts |
| 22 | Loiret | 97 | +1 pts |
| 22 | Puy-de-Dôme | 97 | -1 pts |
| 24 | Haute-Savoie | 96 | -2 pts |
| 25 | Corse-du-Sud | 95 | -3 pts |
| 26 | Charente | 94 | +3 pts |
| 27 | Pyrénées-Atlantiques | 93 | -2 pts |
| 27 | Seine-Maritime | 93 | -1 pts |
| 29 | Calvados | 92 | +1 pts |
| 29 | Hérault | 92 | +1 pts |
| 31 | Indre-et-Loire | 91 | 0 pts |
| 32 | Val-d’Oise | 90 | -4 pts |
| 33 | Doubs | 89 | -1 pts |
| 33 | Hautes-Alpes | 89 | +2 pts |
| 33 | Lot | 89 | +3 pts |
| 33 | Nord | 89 | 0 pts |
| 33 | Vendée | 89 | +3 pts |
| 38 | Deux-Sèvres | 88 | +3 pts |
| 38 | Haute-Vienne | 88 | +2 pts |
| 40 | Finistère | 87 | +1 pts |
| 40 | Vienne | 87 | -2 pts |
| 42 | Var | 86 | 0 pts |
| 43 | Haut-Rhin | 85 | -2 pts |
| 43 | Loire | 85 | +1 pts |
| 43 | Maine-et-Loire | 85 | +2 pts |
| 43 | Seine-et-Marne | 85 | -7 pts |
| 47 | Meurthe-et-Moselle | 83 | +2 pts |
| 47 | Somme | 83 | +1 pts |
| 47 | Territoire de Belfort | 83 | +2 pts |
| 50 | Charente-Maritime | 82 | +1 pts |
| 50 | Saône-et-Loire | 82 | +1 pts |
| 52 | Alpes-de-Haute-Provence | 81 | +1 pts |
| 52 | Corrèze | 81 | +1 pts |
| 52 | Loir-et-Cher | 81 | +1 pts |
| 52 | Morbihan | 81 | +1 pts |
| 56 | Côtes-d’Armor | 80 | +2 pts |
| 56 | Eure-et-Loir | 80 | +1 pts |
| 56 | Lot-et-Garonne | 80 | +1 pts |
| 59 | Aveyron | 79 | +2 pts |
| 59 | Cher | 79 | -2 pts |
| 59 | Haute-Corse | 79 | -1 pts |
| 59 | Jura | 79 | +2 pts |
| 59 | Lozère | 79 | +4 pts |
| 59 | Manche | 79 | 0 pts |
| 59 | Sarthe | 79 | 0 pts |
| 66 | Ain | 78 | 0 pts |
| 66 | Aube | 78 | -1 pts |
| 66 | Yonne | 78 | +2 pts |
| 69 | Ardennes | 77 | 0 pts |
| 69 | Gard | 77 | +3 pts |
| 69 | Landes | 77 | -1 pts |
| 69 | Oise | 77 | -1 pts |
| 69 | Pyrénées-Orientales | 77 | +1 pts |
| 69 | Vosges | 77 | +2 pts |
| 75 | Allier | 76 | +2 pts |
| 75 | Eure | 76 | +1 pts |
| 75 | Haute-Marne | 76 | -1 pts |
| 78 | Orne | 75 | +1 pts |
| 79 | Cantal | 74 | +2 pts |
| 79 | Hautes-Pyrénées | 74 | -3 pts |
| 79 | Nièvre | 74 | 0 pts |
| 82 | Haute-Loire | 73 | +3 pts |
| 82 | Indre | 73 | -1 pts |
| 82 | Moselle | 73 | -2 pts |
| 85 | Martinique | 72 | 0 pts |
| 85 | Pas-de-Calais | 72 | +1 pts |
| 85 | Tarn | 72 | +2 pts |
| 88 | Dordogne | 71 | +1 pts |
| 88 | Guadeloupe | 71 | 0 pts |
| 90 | Ardèche | 70 | +1 pts |
| 91 | Tarn-et-Garonne | 69 | +3 pts |
| 92 | Aisne | 68 | +1 pts |
| 92 | Ariège | 68 | 0 pts |
| 92 | Aude | 68 | +1 pts |
| 92 | Haute-Saône | 68 | +2 pts |
| 92 | Meuse | 68 | +2 pts |
| 97 | Gers | 67 | +2 pts |
| 97 | La Réunion | 67 | +1 pts |
| 99 | Creuse | 65 | +1 pts |
| 100 | Guyane | 52 | +1 pts |
| 101 | Mayotte | 28 | +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=10
Questions
Which area has the highest GDP per capita in purchasing power (EU = 100)?
Paris, with 308% in 2020, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Mayotte, with 28% in 2020.
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)