NUTS 3 areas of France by population density
Paris had the highest population density of 101 areas in 2014, at 21,490 inhabitants per km². Guyane had the lowest, at 3.1 inhabitants per km². The median was 85.8 inhabitants per km² and the figure for France was 104.6 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2014
Full ranking
| Rank | Areas | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Paris | 21,490 | +1.8% |
| 2 | Hauts-de-Seine | 9,300.4 | +2.4% |
| 3 | Seine-Saint-Denis | 6,702.7 | +1.4% |
| 4 | Val-de-Marne | 5,655.8 | +1.9% |
| 5 | Val-d’Oise | 973.8 | +1.1% |
| 6 | Essonne | 702.9 | +0.6% |
| 7 | Yvelines | 626.7 | +0.8% |
| 8 | Mayotte | 624.5 | |
| 9 | Rhône | 561.3 | +1.8% |
| 10 | Nord | 454.6 | +0.4% |
| 11 | Bouches-du-Rhône | 423.3 | +7.7% |
| 12 | Martinique | 347 | +1.9% |
| 13 | La Réunion | 341.7 | +1.8% |
| 14 | Guadeloupe | 258.6 | -21.3% |
| 15 | Alpes-Maritimes | 252.4 | +0.3% |
| 16 | Territoire de Belfort | 240.3 | +1.5% |
| 17 | Seine-et-Marne | 235.7 | +1.6% |
| 18 | Bas-Rhin | 234.5 | +0.3% |
| 19 | Pas-de-Calais | 220.4 | +0.1% |
| 20 | Haut-Rhin | 216.9 | +0.7% |
| 21 | Haute-Garonne | 209.7 | +1.2% |
| 22 | Seine-Maritime | 200.9 | +0.4% |
| 23 | Loire-Atlantique | 198.6 | +1.2% |
| 24 | Hérault | 183.4 | +1.7% |
| 25 | Var | 173.8 | +0.5% |
| 26 | Haute-Savoie | 172.5 | -2.5% |
| 27 | Moselle | 169.2 | +0.5% |
| 28 | Isère | 159.7 | -4.3% |
| 29 | Loire | 159.4 | +0.6% |
| 30 | Vaucluse | 156.4 | +1% |
| 31 | Gironde | 155.4 | +2.5% |
| 32 | Ille-et-Vilaine | 152.3 | +0.5% |
| 33 | Oise | 140 | +0.4% |
| 34 | Meurthe-et-Moselle | 139.9 | +0.3% |
| 35 | Finistère | 134.3 | -0.1% |
| 36 | Gard | 127.3 | +1.4% |
| 37 | Calvados | 123.7 | -0.6% |
| 38 | Pyrénées-Orientales | 114.7 | +1.6% |
| 39 | Maine-et-Loire | 112.6 | +0.4% |
| 40 | Ain | 111.9 | +3.5% |
| 41 | Morbihan | 108.4 | 0% |
| 42 | Doubs | 102.3 | +0.3% |
| 43 | Eure | 100.3 | +1.5% |
| 44 | Loiret | 99.4 | +0.9% |
| 45 | Indre-et-Loire | 99.1 | +0.8% |
| 46 | Vendée | 98.4 | +0.4% |
| 47 | Somme | 93.1 | +0.5% |
| 48 | Charente-Maritime | 92.6 | 0% |
| 49 | Sarthe | 91.2 | -0.5% |
| 50 | Pyrénées-Atlantiques | 87.2 | +0.1% |
| 51 | Côtes-d’Armor | 85.8 | -1.2% |
| 52 | Manche | 83.2 | -1.2% |
| 53 | Puy-de-Dôme | 80.8 | +0.2% |
| 54 | Drôme | 76.9 | +1.1% |
| 55 | Eure-et-Loir | 73.3 | -0.5% |
| 56 | Aisne | 73 | -0.4% |
| 57 | Marne | 70.3 | +0.6% |
| 58 | Savoie | 69.1 | -2.1% |
| 59 | Tarn-et-Garonne | 68.6 | +1.5% |
| 60 | Haute-Vienne | 68 | -0.1% |
| 61 | Tarn | 67 | +0.6% |
| 62 | Saône-et-Loire | 65 | +0.3% |
| 63 | Vosges | 63.3 | -0.6% |
| 64 | Lot-et-Garonne | 62.3 | +0.2% |
| 65 | Deux-Sèvres | 62 | -0.2% |
| 66 | Vienne | 61.9 | +0.2% |
| 67 | Côte-d’Or | 60.7 | +0.3% |
| 68 | Charente | 59.3 | -0.2% |
| 69 | Mayenne | 59.1 | -0.5% |
| 70 | Aude | 58.6 | -1.5% |
| 71 | Ardèche | 58.4 | +0.5% |
| 72 | Ardennes | 53.4 | -0.4% |
| 73 | Loir-et-Cher | 52.4 | -0.2% |
| 74 | Jura | 52.1 | 0% |
| 75 | Aube | 51.7 | +1% |
| 76 | Hautes-Pyrénées | 50.8 | -1% |
| 77 | Orne | 46.8 | -0.8% |
| 78 | Allier | 46.7 | -0.2% |
| 79 | Yonne | 45.9 | -0.2% |
| 80 | Haute-Loire | 45.4 | -0.2% |
| 81 | Dordogne | 45.3 | -1.5% |
| 82 | Haute-Saône | 44.4 | -0.2% |
| 83 | Landes | 43.5 | +0.7% |
| 84 | Cher | 42.6 | -0.9% |
| 85 | Corrèze | 41.2 | 0% |
| 86 | Corse-du-Sud | 38 | +1.3% |
| 87 | Haute-Corse | 37.2 | +1.1% |
| 88 | Lot | 33.4 | +0.3% |
| 89 | Indre | 33 | -1.2% |
| 90 | Aveyron | 31.9 | +0.3% |
| 91 | Ariège | 31.1 | -0.3% |
| 91 | Nièvre | 31.1 | -1.3% |
| 93 | Meuse | 30.8 | -0.3% |
| 94 | Gers | 30.3 | -0.3% |
| 95 | Haute-Marne | 28.9 | -1% |
| 96 | Cantal | 25.5 | -0.4% |
| 97 | Hautes-Alpes | 24.8 | -1.6% |
| 98 | Alpes-de-Haute-Provence | 23.2 | -0.9% |
| 99 | Creuse | 21.6 | -0.5% |
| 100 | Lozère | 14.8 | 0% |
| 101 | Guyane | 3.1 | +3.3% |
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 21,490 inhabitants per km² in 2014, according to Eurostat, European Commission.
Which area has the lowest population density?
Guyane, with 3.1 inhabitants per km² in 2014.
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)