NUTS 3 areas of France by population density
Paris had the highest population density of 100 areas in 2013, at 21,110.4 inhabitants per km². Guyane had the lowest, at 3 inhabitants per km². The median was 85.5 inhabitants per km² and the figure for France was 103.9 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2013
Full ranking
| Rank | Areas | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Paris | 21,110.4 | -0.5% |
| 2 | Hauts-de-Seine | 9,080.3 | +0.4% |
| 3 | Seine-Saint-Denis | 6,612 | +1% |
| 4 | Val-de-Marne | 5,548.4 | +0.9% |
| 5 | Val-d’Oise | 963.2 | +0.8% |
| 6 | Essonne | 698.9 | +1.2% |
| 7 | Yvelines | 621.6 | +0.3% |
| 8 | Rhône | 551.2 | +1.1% |
| 9 | Nord | 452.7 | +0.3% |
| 10 | Bouches-du-Rhône | 393 | +0.5% |
| 11 | Martinique | 340.6 | -0.7% |
| 12 | La Réunion | 335.5 | +0.7% |
| 13 | Guadeloupe | 328.7 | |
| 14 | Alpes-Maritimes | 251.7 | 0% |
| 15 | Territoire de Belfort | 236.8 | +0.1% |
| 16 | Bas-Rhin | 233.7 | +0.4% |
| 17 | Seine-et-Marne | 231.9 | +0.9% |
| 18 | Pas-de-Calais | 220.2 | +0.3% |
| 19 | Haut-Rhin | 215.4 | +0.3% |
| 20 | Haute-Garonne | 207.3 | +1.5% |
| 21 | Seine-Maritime | 200.1 | +0.2% |
| 22 | Loire-Atlantique | 196.3 | +1.3% |
| 23 | Hérault | 180.3 | +1.4% |
| 24 | Haute-Savoie | 176.9 | +1.7% |
| 25 | Var | 173 | +0.8% |
| 26 | Moselle | 168.3 | -0.1% |
| 27 | Isère | 166.8 | +0.8% |
| 28 | Loire | 158.4 | +0.3% |
| 29 | Vaucluse | 154.8 | +0.7% |
| 30 | Gironde | 151.6 | +1.4% |
| 31 | Ille-et-Vilaine | 151.5 | +1.2% |
| 32 | Meurthe-et-Moselle | 139.5 | -0.1% |
| 33 | Oise | 139.4 | +0.5% |
| 34 | Finistère | 134.4 | +0.2% |
| 35 | Gard | 125.5 | +0.7% |
| 36 | Calvados | 124.5 | +0.2% |
| 37 | Pyrénées-Orientales | 112.9 | +1% |
| 38 | Maine-et-Loire | 112.1 | +0.7% |
| 39 | Morbihan | 108.4 | +0.6% |
| 40 | Ain | 108.1 | +1.1% |
| 41 | Doubs | 102 | +0.3% |
| 42 | Eure | 98.8 | +0.6% |
| 43 | Loiret | 98.5 | +0.5% |
| 44 | Indre-et-Loire | 98.3 | +0.6% |
| 45 | Vendée | 98 | +0.9% |
| 46 | Charente-Maritime | 92.6 | +0.8% |
| 46 | Somme | 92.6 | 0% |
| 48 | Sarthe | 91.7 | +0.1% |
| 49 | Pyrénées-Atlantiques | 87.1 | +0.5% |
| 50 | Côtes-d’Armor | 86.8 | +0.1% |
| 51 | Manche | 84.2 | +0.1% |
| 52 | Puy-de-Dôme | 80.6 | +0.5% |
| 53 | Drôme | 76.1 | +0.8% |
| 54 | Eure-et-Loir | 73.7 | +0.1% |
| 55 | Aisne | 73.3 | 0% |
| 56 | Savoie | 70.6 | +0.7% |
| 57 | Marne | 69.9 | +0.1% |
| 58 | Haute-Vienne | 68.1 | 0% |
| 59 | Tarn-et-Garonne | 67.6 | +1% |
| 60 | Tarn | 66.6 | +0.8% |
| 61 | Saône-et-Loire | 64.8 | 0% |
| 62 | Vosges | 63.7 | -0.6% |
| 63 | Lot-et-Garonne | 62.2 | +0.2% |
| 64 | Deux-Sèvres | 62.1 | +0.3% |
| 65 | Vienne | 61.8 | +0.3% |
| 66 | Côte-d’Or | 60.5 | +0.3% |
| 67 | Aude | 59.5 | +0.5% |
| 68 | Charente | 59.4 | 0% |
| 68 | Mayenne | 59.4 | 0% |
| 70 | Ardèche | 58.1 | +0.5% |
| 71 | Ardennes | 53.6 | -0.6% |
| 72 | Loir-et-Cher | 52.5 | +0.4% |
| 73 | Jura | 52.1 | -0.2% |
| 74 | Hautes-Pyrénées | 51.3 | 0% |
| 75 | Aube | 51.2 | +0.4% |
| 76 | Orne | 47.2 | -0.4% |
| 77 | Allier | 46.8 | 0% |
| 78 | Dordogne | 46 | 0% |
| 78 | Yonne | 46 | 0% |
| 80 | Haute-Loire | 45.5 | +0.2% |
| 81 | Haute-Saône | 44.5 | -0.4% |
| 82 | Landes | 43.2 | +1.2% |
| 83 | Cher | 43 | -0.2% |
| 84 | Corrèze | 41.2 | 0% |
| 85 | Corse-du-Sud | 37.5 | +2.2% |
| 86 | Haute-Corse | 36.8 | +0.5% |
| 87 | Indre | 33.4 | -0.6% |
| 88 | Lot | 33.3 | -0.3% |
| 89 | Aveyron | 31.8 | +0.3% |
| 90 | Nièvre | 31.5 | -0.6% |
| 91 | Ariège | 31.2 | 0% |
| 92 | Meuse | 30.9 | -0.3% |
| 93 | Gers | 30.4 | 0% |
| 94 | Haute-Marne | 29.2 | -0.3% |
| 95 | Cantal | 25.6 | -0.4% |
| 96 | Hautes-Alpes | 25.2 | +0.4% |
| 97 | Alpes-de-Haute-Provence | 23.4 | +0.4% |
| 98 | Creuse | 21.7 | -0.5% |
| 99 | Lozère | 14.8 | -0.7% |
| 100 | Guyane | 3 | +3.4% |
Other periods
About this ranking
Resident population divided by land area in km². World Bank figures use mid-year population and land area excluding inland water.
United States: Census Bureau population estimates for 1 July divided by land area (water excluded) from the latest Census Gazetteer files. US tables often give people per square mile; multiply persons per km² by 2.59 to compare.
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. Population density by NUTS 3 region (demo_r_d3dens). https://ec.europa.eu/eurostat/databrowser/view/demo_r_d3dens/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 population density using official data, and cite the source.
rank_places {"indicator":"population_density","level":"province","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_density&level=province&within=France&limit=10Questions
Which area has the highest population density?
Paris, with 21,110.4 inhabitants per km² in 2013, according to Eurostat, European Commission.
Which area has the lowest population density?
Guyane, with 3 inhabitants per km² 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, Population density by NUTS 3 region (demo_r_d3dens). Retrieved 2026-10-08. 1 areas have no value for 2013 and are not ranked.
Population density: other rankings
- Countries
- EU countries
- US states
- EU regions (NUTS 2)
- US counties
- Autonomous communities of Spain
- Provinces of Spain
- Municipalities of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)