NUTS 3 areas of Italy by population density
Napoli had the highest population density of 102 areas in 2019, at 2,606.2 inhabitants per km². Valle d’Aosta/Vallée d’Aoste had the lowest, at 38.6 inhabitants per km². The median was 182 inhabitants per km² and the figure for Italy was 201.5 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Napoli | 2,606.2 | -1.1% |
| 2 | Monza e della Brianza | 2,158.6 | -0.1% |
| 3 | Milano | 2,088.3 | +0.5% |
| 4 | Trieste | 1,093.8 | -0.7% |
| 5 | Varese | 818.3 | -0.3% |
| 6 | Roma | 814 | -1.2% |
| 7 | Prato | 705.2 | +0.2% |
| 8 | Como | 514.1 | -0.1% |
| 9 | Lecco | 456.1 | -0.7% |
| 10 | Genova | 455.3 | -1.1% |
| 11 | Padova | 445.2 | -0.2% |
| 12 | Venezia | 441.2 | -0.3% |
| 13 | Bergamo | 410.1 | -0.1% |
| 14 | Rimini | 391.5 | -0.1% |
| 15 | Gorizia | 362.8 | -0.6% |
| 16 | Treviso | 359.6 | -0.2% |
| 17 | Caserta | 348.2 | -0.5% |
| 18 | Torino | 331 | -0.8% |
| 19 | Bari | 321.4 | -1.1% |
| 20 | Verona | 318.3 | +0.1% |
| 21 | Vicenza | 315.8 | -0.4% |
| 22 | Catania | 305.9 | -1.7% |
| 23 | Pistoia | 305.5 | -0% |
| 24 | Lodi | 298.7 | -0.5% |
| 25 | Firenze | 287.5 | -0.9% |
| 26 | Lecce | 283.3 | -1% |
| 27 | Novara | 281.4 | -0.6% |
| 28 | Brescia | 278.1 | -0.3% |
| 29 | Bologna | 276.9 | +0.5% |
| 29 | Livorno | 276.9 | -0.6% |
| 31 | Modena | 263.6 | +0.3% |
| 32 | Barletta-Andria-Trani | 259.8 | -0.8% |
| 33 | Pescara | 258.5 | -0.5% |
| 34 | Latina | 256.2 | -1.1% |
| 35 | La Spezia | 248.8 | -0.6% |
| 36 | Palermo | 248.4 | -1.5% |
| 37 | Ancona | 239.5 | -0.5% |
| 38 | Taranto | 233.3 | -1.4% |
| 39 | Reggio nell’Emilia | 232.6 | -0.3% |
| 40 | Lucca | 220.4 | -0.9% |
| 41 | Salerno | 220.2 | -0.9% |
| 42 | Ravenna | 217.3 | -0.4% |
| 43 | Brindisi | 209.8 | -1.2% |
| 44 | Cremona | 204.9 | -0.4% |
| 45 | Fermo | 200.4 | -0.7% |
| 46 | Ragusa | 196.2 | -0.9% |
| 47 | Biella | 193 | -0.8% |
| 48 | Messina | 190.4 | -1.3% |
| 49 | Siracusa | 187.9 | -1.5% |
| 50 | Pavia | 186.2 | -0.5% |
| 51 | Imperia | 183.4 | -1.1% |
| 52 | Mantova | 180.6 | -0.6% |
| 53 | Savona | 177.3 | -1.1% |
| 54 | Trapani | 174 | -1.3% |
| 55 | Pisa | 172.4 | -0.3% |
| 56 | Ascoli Piceno | 168.4 | -0.5% |
| 57 | Reggio Calabria | 168.2 | -1.8% |
| 58 | Massa-Carrara | 167.5 | -1.1% |
| 59 | Forlì-Cesena | 166.2 | +0.1% |
| 60 | Teramo | 156.7 | -0.7% |
| 61 | Frosinone | 149.1 | -1.3% |
| 62 | Avellino | 148.1 | -1.3% |
| 63 | Rovigo | 147.9 | -0.9% |
| 64 | Chieti | 147.3 | -1.1% |
| 65 | Catanzaro | 146.7 | -1.6% |
| 66 | Asti | 141.6 | -0.9% |
| 66 | Ferrara | 141.6 | -0.4% |
| 68 | Agrigento | 141.3 | -1.7% |
| 69 | Pordenone | 140.3 | -0.2% |
| 70 | Pesaro e Urbino | 139.6 | -0.5% |
| 71 | Vibo Valentia | 137.3 | -1.9% |
| 72 | Benevento | 132.2 | -1.3% |
| 72 | Parma | 132.2 | +0.5% |
| 74 | Caltanissetta | 121.6 | -2% |
| 75 | Alessandria | 118.6 | -0.8% |
| 76 | Macerata | 112.7 | -0.9% |
| 77 | Piacenza | 111.9 | -0.1% |
| 78 | Udine | 111 | -0.3% |
| 79 | Terni | 106.5 | -0.7% |
| 80 | Arezzo | 106 | -0.7% |
| 81 | Perugia | 105.1 | -0.8% |
| 82 | Cosenza | 104.5 | -1.3% |
| 83 | Crotone | 99.2 | -1.9% |
| 84 | Viterbo | 90.1 | -1.3% |
| 85 | Foggia | 89.6 | -1.4% |
| 86 | Trento | 88.2 | +0.5% |
| 87 | Cuneo | 85.2 | -0.2% |
| 88 | Vercelli | 82.2 | -0.8% |
| 89 | Campobasso | 75.4 | -1.3% |
| 90 | Verbano-Cusio-Ossola | 72.7 | -0.8% |
| 91 | Bolzano-Bozen | 72.2 | +0.6% |
| 92 | Siena | 70 | -0.4% |
| 93 | Enna | 63.5 | -1.9% |
| 94 | L’Aquila | 59 | -1% |
| 95 | Sondrio | 57.2 | -0.3% |
| 96 | Matera | 56.8 | -1% |
| 97 | Rieti | 56.3 | -1.2% |
| 98 | Belluno | 55.4 | -0.9% |
| 99 | Potenza | 55.1 | -1.4% |
| 100 | Isernia | 54.6 | -1.3% |
| 101 | Grosseto | 49.7 | -0.6% |
| 102 | Valle d’Aosta/Vallée d’Aoste | 38.6 | -0.5% |
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 Italy by population density using official data, and cite the source.
rank_places {"indicator":"population_density","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_density&level=province&within=Italy&limit=10Questions
Which area has the highest population density?
Napoli, with 2,606.2 inhabitants per km² in 2019, according to Eurostat, European Commission.
Which area has the lowest population density?
Valle d’Aosta/Vallée d’Aoste, with 38.6 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)