NUTS 3 areas of France by GDP per capita in purchasing power (EU = 100)
Hauts-de-Seine had the highest GDP per capita in purchasing power (EU = 100) of 100 areas in 2013, at 321%. Guyane had the lowest, at 57%. The median was 86% and the figure for France was 109%. Source: Eurostat, European Commission.
Top 40 areas, 2013
Full ranking
| Rank | Areas | 2013 (%) | Change on 2012 |
|---|---|---|---|
| 1 | Hauts-de-Seine | 321 | +9 pts |
| 2 | Paris | 308 | +7 pts |
| 3 | Rhône | 142 | 0 pts |
| 4 | Haute-Garonne | 129 | +4 pts |
| 4 | Yvelines | 129 | +4 pts |
| 6 | Essonne | 125 | +9 pts |
| 7 | Val-de-Marne | 120 | +3 pts |
| 8 | Alpes-Maritimes | 117 | +2 pts |
| 9 | Seine-Saint-Denis | 115 | +3 pts |
| 10 | Bouches-du-Rhône | 113 | -2 pts |
| 11 | Marne | 112 | +1 pts |
| 11 | Savoie | 112 | +2 pts |
| 13 | Côte-d’Or | 111 | +2 pts |
| 14 | Loire-Atlantique | 110 | +2 pts |
| 15 | Bas-Rhin | 109 | +2 pts |
| 16 | Gironde | 107 | -1 pts |
| 16 | Seine-Maritime | 107 | +3 pts |
| 18 | Ille-et-Vilaine | 106 | +1 pts |
| 18 | Loiret | 106 | +1 pts |
| 20 | Isère | 105 | 0 pts |
| 21 | Drôme | 104 | +1 pts |
| 21 | Val-d’Oise | 104 | 0 pts |
| 23 | Pyrénées-Atlantiques | 103 | +3 pts |
| 24 | Corse-du-Sud | 102 | +2 pts |
| 25 | Calvados | 101 | +1 pts |
| 26 | Haute-Savoie | 99 | +2 pts |
| 26 | Vaucluse | 99 | +3 pts |
| 28 | Hérault | 98 | -1 pts |
| 29 | Puy-de-Dôme | 97 | +2 pts |
| 30 | Indre-et-Loire | 95 | +2 pts |
| 31 | Seine-et-Marne | 94 | -1 pts |
| 31 | Vienne | 94 | +1 pts |
| 33 | Charente | 93 | +1 pts |
| 33 | Mayenne | 93 | +5 pts |
| 33 | Nord | 93 | +1 pts |
| 36 | Deux-Sèvres | 92 | +2 pts |
| 36 | Doubs | 92 | +2 pts |
| 38 | Haut-Rhin | 91 | +2 pts |
| 39 | Hautes-Alpes | 90 | +3 pts |
| 40 | Loire | 89 | 0 pts |
| 40 | Maine-et-Loire | 89 | +2 pts |
| 40 | Meurthe-et-Moselle | 89 | +3 pts |
| 43 | Aube | 88 | 0 pts |
| 43 | Finistère | 88 | +2 pts |
| 43 | Somme | 88 | +2 pts |
| 43 | Territoire de Belfort | 88 | -8 pts |
| 43 | Vendée | 88 | +1 pts |
| 48 | Haute-Vienne | 87 | +4 pts |
| 48 | Var | 87 | +1 pts |
| 50 | Alpes-de-Haute-Provence | 86 | +4 pts |
| 50 | Sarthe | 86 | +1 pts |
| 52 | Loir-et-Cher | 85 | +1 pts |
| 52 | Saône-et-Loire | 85 | +1 pts |
| 54 | Ain | 84 | +1 pts |
| 54 | Cher | 84 | +1 pts |
| 54 | Corrèze | 84 | 0 pts |
| 54 | Eure-et-Loir | 84 | +1 pts |
| 54 | Haute-Corse | 84 | 0 pts |
| 54 | Oise | 84 | 0 pts |
| 60 | Manche | 83 | +4 pts |
| 61 | Charente-Maritime | 82 | +1 pts |
| 61 | Haute-Marne | 82 | +3 pts |
| 61 | Hautes-Pyrénées | 82 | +3 pts |
| 61 | Landes | 82 | 0 pts |
| 61 | Morbihan | 82 | +1 pts |
| 61 | Yonne | 82 | -1 pts |
| 67 | Jura | 81 | +2 pts |
| 67 | Lozère | 81 | +4 pts |
| 67 | Moselle | 81 | +1 pts |
| 70 | Lot | 80 | +3 pts |
| 70 | Lot-et-Garonne | 80 | +1 pts |
| 72 | Côtes-d’Armor | 79 | +2 pts |
| 72 | Nièvre | 79 | +2 pts |
| 72 | Orne | 79 | +2 pts |
| 72 | Pyrénées-Orientales | 79 | 0 pts |
| 76 | Allier | 78 | +1 pts |
| 76 | Ardennes | 78 | +4 pts |
| 76 | Aveyron | 78 | 0 pts |
| 76 | Cantal | 78 | +3 pts |
| 76 | Eure | 78 | +1 pts |
| 76 | Gard | 78 | 0 pts |
| 76 | Indre | 78 | 0 pts |
| 83 | Guadeloupe | 77 | +1 pts |
| 83 | Vosges | 77 | +2 pts |
| 85 | Dordogne | 74 | +2 pts |
| 85 | Martinique | 74 | +1 pts |
| 85 | Tarn | 74 | 0 pts |
| 88 | Aisne | 73 | +1 pts |
| 88 | Aude | 73 | +1 pts |
| 88 | Pas-de-Calais | 73 | +1 pts |
| 91 | Ardèche | 71 | +2 pts |
| 91 | Haute-Loire | 71 | +2 pts |
| 91 | Tarn-et-Garonne | 71 | +1 pts |
| 94 | Ariège | 69 | +3 pts |
| 94 | Gers | 69 | -2 pts |
| 94 | Meuse | 69 | +2 pts |
| 97 | La Réunion | 68 | +1 pts |
| 98 | Haute-Saône | 67 | +2 pts |
| 99 | Creuse | 66 | +3 pts |
| 100 | Guyane | 57 | 0 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. 1 areas with data in other periods have no value for 2013 and are left out rather than filled from another source. 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)?
Hauts-de-Seine, with 321% in 2013, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Guyane, with 57% in 2013.
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. 1 areas have no value for 2013 and are not ranked.
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)