NUTS 3 areas of France by population density
Paris had the highest population density of 101 areas in 2019, at 20,965.4 inhabitants per km². Guyane had the lowest, at 3.4 inhabitants per km². The median was 86 inhabitants per km² and the figure for France was 106.1 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Paris | 20,965.4 | -0.5% |
| 2 | Hauts-de-Seine | 9,456.8 | +0.3% |
| 3 | Seine-Saint-Denis | 6,998.6 | +0.8% |
| 4 | Val-de-Marne | 5,818.3 | +0.5% |
| 5 | Val-d’Oise | 1,005.5 | +0.6% |
| 6 | Mayotte | 750.8 | +3.6% |
| 7 | Essonne | 721.8 | +0.5% |
| 8 | Yvelines | 636.8 | +0.3% |
| 9 | Rhône | 581.5 | +0.6% |
| 10 | Nord | 454.3 | -0.1% |
| 11 | Bouches-du-Rhône | 429.7 | +0.2% |
| 12 | La Réunion | 345.7 | +0.1% |
| 13 | Martinique | 328.6 | -1.2% |
| 14 | Alpes-Maritimes | 253.5 | +0.1% |
| 15 | Guadeloupe | 247 | -1.1% |
| 16 | Seine-et-Marne | 242.3 | +0.5% |
| 17 | Bas-Rhin | 240 | +0.4% |
| 18 | Territoire de Belfort | 233.6 | -0.7% |
| 19 | Haute-Garonne | 221.7 | +1% |
| 20 | Pas-de-Calais | 218.6 | -0.3% |
| 21 | Haut-Rhin | 217.9 | 0% |
| 22 | Loire-Atlantique | 210.3 | +1.1% |
| 23 | Seine-Maritime | 200.2 | -0.1% |
| 24 | Hérault | 194 | +1.1% |
| 25 | Haute-Savoie | 181.2 | +0.9% |
| 26 | Var | 179.2 | +0.5% |
| 27 | Moselle | 168.7 | -0.1% |
| 28 | Gironde | 164.6 | +1.1% |
| 29 | Isère | 162.3 | +0.2% |
| 30 | Loire | 160.8 | +0.1% |
| 31 | Ille-et-Vilaine | 158.8 | +0.8% |
| 32 | Vaucluse | 157.6 | +0.1% |
| 33 | Oise | 141.4 | +0.1% |
| 34 | Meurthe-et-Moselle | 139.6 | -0.1% |
| 35 | Finistère | 135.2 | +0.1% |
| 36 | Gard | 129.2 | +0.2% |
| 37 | Calvados | 123.9 | 0% |
| 38 | Pyrénées-Orientales | 117.1 | +0.3% |
| 39 | Ain | 116.6 | +0.8% |
| 40 | Maine-et-Loire | 114 | +0.2% |
| 41 | Morbihan | 110.8 | +0.4% |
| 42 | Doubs | 103.6 | +0.1% |
| 43 | Vendée | 101.5 | +0.5% |
| 44 | Loiret | 100.9 | +0.3% |
| 45 | Eure | 99.9 | -0.3% |
| 46 | Indre-et-Loire | 99.8 | +0.1% |
| 47 | Charente-Maritime | 94.3 | +0.3% |
| 48 | Somme | 92.7 | -0.1% |
| 49 | Sarthe | 90.5 | -0.2% |
| 50 | Pyrénées-Atlantiques | 89.2 | +0.3% |
| 51 | Côtes-d’Armor | 86 | 0% |
| 52 | Puy-de-Dôme | 83.1 | +0.6% |
| 53 | Manche | 82.2 | -0.4% |
| 54 | Drôme | 79.6 | +0.6% |
| 55 | Eure-et-Loir | 72.7 | -0.3% |
| 56 | Aisne | 71.7 | -0.4% |
| 57 | Savoie | 70.5 | +0.4% |
| 58 | Tarn-et-Garonne | 70.4 | +0.4% |
| 59 | Marne | 69.5 | -0.3% |
| 60 | Tarn | 67.5 | 0% |
| 61 | Haute-Vienne | 67.2 | -0.3% |
| 62 | Saône-et-Loire | 64.3 | -0.3% |
| 63 | Vienne | 62.5 | +0.2% |
| 64 | Deux-Sèvres | 62.1 | 0% |
| 65 | Lot-et-Garonne | 61.9 | -0.2% |
| 66 | Vosges | 61.6 | -0.6% |
| 67 | Côte-d’Or | 60.8 | 0% |
| 68 | Aude | 60.1 | +0.5% |
| 69 | Ardèche | 59.1 | +0.2% |
| 70 | Charente | 58.8 | -0.2% |
| 70 | Mayenne | 58.8 | -0.2% |
| 72 | Aube | 52 | 0% |
| 73 | Jura | 51.7 | -0.2% |
| 74 | Loir-et-Cher | 51.6 | -0.4% |
| 75 | Ardennes | 51.4 | -1% |
| 76 | Hautes-Pyrénées | 50.9 | 0% |
| 77 | Allier | 45.6 | -0.4% |
| 77 | Haute-Loire | 45.6 | +0.2% |
| 79 | Orne | 45.3 | -0.9% |
| 80 | Yonne | 45.1 | -0.4% |
| 81 | Dordogne | 44.8 | -0.2% |
| 81 | Landes | 44.8 | +0.7% |
| 83 | Haute-Saône | 43.8 | -0.2% |
| 84 | Cher | 41.3 | -0.7% |
| 85 | Corrèze | 40.9 | -0.2% |
| 86 | Corse-du-Sud | 40 | +1% |
| 87 | Haute-Corse | 39.3 | +1% |
| 88 | Lot | 33.5 | 0% |
| 89 | Indre | 32.1 | -0.6% |
| 90 | Aveyron | 32 | 0% |
| 91 | Ariège | 31.3 | 0% |
| 92 | Gers | 30.4 | 0% |
| 93 | Nièvre | 29.7 | -1% |
| 94 | Meuse | 29.4 | -1% |
| 95 | Haute-Marne | 27.5 | -1.1% |
| 96 | Cantal | 25.1 | -0.4% |
| 97 | Hautes-Alpes | 24.8 | 0% |
| 98 | Alpes-de-Haute-Provence | 23.7 | +0.4% |
| 99 | Creuse | 20.8 | -1% |
| 100 | Lozère | 14.8 | 0% |
| 101 | Guyane | 3.4 | +3% |
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. 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 20,965.4 inhabitants per km² in 2019, according to Eurostat, European Commission.
Which area has the lowest population density?
Guyane, with 3.4 inhabitants per km² 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, Population density by NUTS 3 region (demo_r_d3dens). Retrieved 2026-10-08.
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)