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 2019, at 318%. Mayotte had the lowest, at 26%. The median was 81% and the figure for France was 105%. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 (%) | Change on 2018 |
|---|---|---|---|
| 1 | Paris | 318 | +11 pts |
| 2 | Hauts-de-Seine | 308 | +13 pts |
| 3 | Rhône | 140 | +2 pts |
| 4 | Haute-Garonne | 127 | +2 pts |
| 5 | Yvelines | 124 | +3 pts |
| 6 | Essonne | 120 | +3 pts |
| 7 | Seine-Saint-Denis | 118 | +2 pts |
| 8 | Val-de-Marne | 117 | +2 pts |
| 9 | Alpes-Maritimes | 116 | +2 pts |
| 10 | Savoie | 113 | +2 pts |
| 11 | Loire-Atlantique | 110 | +3 pts |
| 12 | Côte-d’Or | 106 | +1 pts |
| 13 | Gironde | 105 | +1 pts |
| 14 | Bas-Rhin | 104 | +2 pts |
| 14 | Ille-et-Vilaine | 104 | +1 pts |
| 16 | Isère | 102 | +2 pts |
| 17 | Bouches-du-Rhône | 101 | 0 pts |
| 17 | Marne | 101 | 0 pts |
| 19 | Corse-du-Sud | 98 | +1 pts |
| 19 | Drôme | 98 | +3 pts |
| 19 | Haute-Savoie | 98 | +1 pts |
| 19 | Puy-de-Dôme | 98 | +2 pts |
| 23 | Vaucluse | 97 | +2 pts |
| 24 | Loiret | 96 | +1 pts |
| 25 | Pyrénées-Atlantiques | 95 | +4 pts |
| 26 | Seine-Maritime | 94 | +1 pts |
| 26 | Val-d’Oise | 94 | +3 pts |
| 28 | Seine-et-Marne | 92 | +4 pts |
| 29 | Calvados | 91 | +1 pts |
| 29 | Charente | 91 | +2 pts |
| 29 | Hérault | 91 | +1 pts |
| 29 | Indre-et-Loire | 91 | +1 pts |
| 33 | Doubs | 90 | +1 pts |
| 34 | Nord | 89 | +1 pts |
| 34 | Vienne | 89 | +2 pts |
| 36 | Mayenne | 88 | +1 pts |
| 37 | Haut-Rhin | 87 | +1 pts |
| 37 | Hautes-Alpes | 87 | +3 pts |
| 39 | Finistère | 86 | +3 pts |
| 39 | Haute-Vienne | 86 | +5 pts |
| 39 | Lot | 86 | +2 pts |
| 39 | Var | 86 | +2 pts |
| 39 | Vendée | 86 | +1 pts |
| 44 | Deux-Sèvres | 85 | +2 pts |
| 45 | Loire | 84 | +1 pts |
| 46 | Maine-et-Loire | 83 | +3 pts |
| 47 | Somme | 82 | +1 pts |
| 48 | Charente-Maritime | 81 | +2 pts |
| 48 | Cher | 81 | +2 pts |
| 48 | Meurthe-et-Moselle | 81 | +1 pts |
| 48 | Saône-et-Loire | 81 | +1 pts |
| 48 | Territoire de Belfort | 81 | +5 pts |
| 53 | Alpes-de-Haute-Provence | 80 | +1 pts |
| 53 | Corrèze | 80 | +2 pts |
| 53 | Haute-Corse | 80 | +1 pts |
| 53 | Loir-et-Cher | 80 | +1 pts |
| 53 | Morbihan | 80 | +2 pts |
| 58 | Aube | 79 | 0 pts |
| 58 | Eure-et-Loir | 79 | +2 pts |
| 58 | Lot-et-Garonne | 79 | +2 pts |
| 58 | Manche | 79 | +2 pts |
| 58 | Sarthe | 79 | +2 pts |
| 63 | Ain | 78 | +2 pts |
| 63 | Côtes-d’Armor | 78 | +2 pts |
| 63 | Landes | 78 | +2 pts |
| 63 | Oise | 78 | +1 pts |
| 67 | Ardennes | 77 | +2 pts |
| 67 | Aveyron | 77 | +1 pts |
| 67 | Haute-Marne | 77 | +1 pts |
| 67 | Hautes-Pyrénées | 77 | +1 pts |
| 67 | Jura | 77 | +2 pts |
| 72 | Pyrénées-Orientales | 76 | +2 pts |
| 72 | Yonne | 76 | 0 pts |
| 74 | Eure | 75 | +2 pts |
| 74 | Lozère | 75 | 0 pts |
| 74 | Moselle | 75 | 0 pts |
| 74 | Vosges | 75 | 0 pts |
| 78 | Allier | 74 | +1 pts |
| 78 | Gard | 74 | +2 pts |
| 78 | Indre | 74 | +2 pts |
| 78 | Nièvre | 74 | +1 pts |
| 78 | Orne | 74 | +2 pts |
| 83 | Cantal | 72 | +1 pts |
| 83 | Martinique | 72 | 0 pts |
| 85 | Guadeloupe | 71 | +2 pts |
| 85 | Pas-de-Calais | 71 | +2 pts |
| 87 | Dordogne | 70 | +1 pts |
| 87 | Haute-Loire | 70 | +2 pts |
| 87 | Tarn | 70 | +2 pts |
| 90 | Ardèche | 69 | +2 pts |
| 91 | Ariège | 68 | +2 pts |
| 92 | Aisne | 67 | +1 pts |
| 92 | Aude | 67 | +1 pts |
| 94 | Haute-Saône | 66 | +3 pts |
| 94 | La Réunion | 66 | +1 pts |
| 94 | Meuse | 66 | +2 pts |
| 94 | Tarn-et-Garonne | 66 | +1 pts |
| 98 | Gers | 65 | 0 pts |
| 99 | Creuse | 64 | +2 pts |
| 100 | Guyane | 51 | +2 pts |
| 101 | Mayotte | 26 | +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.
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Rank NUTS 3 areas of France by GDP per capita in purchasing power (EU = 100) using official data, and cite the source.
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Questions
Which area has the highest GDP per capita in purchasing power (EU = 100)?
Paris, with 318% in 2019, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Mayotte, with 26% 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 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)