NUTS 3 areas of Italy by natural change rate
Bolzano-Bozen had the highest natural change rate of 107 areas in 2018, at 1.7 per 1,000 inhabitants. Savona had the lowest, at -9.2 per 1,000 inhabitants. The median was -4.1 per 1,000 inhabitants and the figure for Italy was -3.2 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 areas, 2018
Full ranking
| Rank | Areas | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Bolzano-Bozen | 1.7 | -0.1 pts |
| 2 | Napoli | 0 | 0 pts |
| 3 | Caserta | -0.2 | +0.1 pts |
| 4 | Crotone | -0.3 | +0.8 pts |
| 5 | Catania | -0.7 | +0.3 pts |
| 6 | Barletta-Andria-Trani | -0.8 | 0 pts |
| 7 | Latina | -1.2 | -0.2 pts |
| 7 | Trento | -1.2 | -0.2 pts |
| 9 | Bergamo | -1.3 | -0.3 pts |
| 10 | Bari | -1.5 | +0.1 pts |
| 10 | Palermo | -1.5 | +0.3 pts |
| 12 | Ragusa | -1.6 | -0.5 pts |
| 12 | Verona | -1.6 | +0.1 pts |
| 14 | Brescia | -1.7 | -0.4 pts |
| 14 | Milano | -1.7 | -0.2 pts |
| 16 | Monza e della Brianza | -1.8 | -0.7 pts |
| 16 | Treviso | -1.8 | -0.4 pts |
| 18 | Reggio Calabria | -1.9 | +0.3 pts |
| 19 | Vicenza | -2.1 | -0.1 pts |
| 20 | Roma | -2.3 | 0 pts |
| 20 | Salerno | -2.3 | +0.3 pts |
| 22 | Foggia | -2.4 | +0.2 pts |
| 22 | Modena | -2.4 | +0.2 pts |
| 24 | Lodi | -2.5 | -0.9 pts |
| 24 | Padova | -2.5 | -0.2 pts |
| 26 | Cagliari | -2.6 | +0.1 pts |
| 26 | Vibo Valentia | -2.6 | 0 pts |
| 28 | Siracusa | -2.7 | 0 pts |
| 29 | Cosenza | -2.8 | +0.6 pts |
| 29 | Reggio nell’Emilia | -2.8 | -0.6 pts |
| 31 | Como | -2.9 | -0.4 pts |
| 31 | Lecco | -2.9 | -0.8 pts |
| 31 | Prato | -2.9 | -1.4 pts |
| 31 | Rimini | -2.9 | +0.1 pts |
| 35 | Taranto | -3.1 | -0.4 pts |
| 35 | Varese | -3.1 | -0.4 pts |
| 37 | Catanzaro | -3.2 | -0.5 pts |
| 37 | Pordenone | -3.2 | -0.4 pts |
| 37 | Trapani | -3.2 | +0.7 pts |
| 40 | Caltanissetta | -3.3 | +0.4 pts |
| 40 | Matera | -3.3 | +0.1 pts |
| 40 | Parma | -3.3 | +0.3 pts |
| 43 | Agrigento | -3.5 | +0.5 pts |
| 43 | Teramo | -3.5 | +0.5 pts |
| 45 | Sassari | -3.6 | -0.4 pts |
| 46 | Forlì-Cesena | -3.7 | +0.3 pts |
| 46 | Lecce | -3.7 | +0.6 pts |
| 48 | Brindisi | -3.8 | 0 pts |
| 48 | Sondrio | -3.8 | -0.5 pts |
| 50 | Avellino | -4 | -0.1 pts |
| 50 | Pescara | -4 | -0.2 pts |
| 52 | Bologna | -4.1 | +0.2 pts |
| 52 | Firenze | -4.1 | +0.3 pts |
| 52 | Frosinone | -4.1 | +0.2 pts |
| 52 | Macerata | -4.1 | +1.2 pts |
| 52 | Mantova | -4.1 | -0.3 pts |
| 52 | Pesaro e Urbino | -4.1 | -0.2 pts |
| 58 | Messina | -4.2 | +0.6 pts |
| 58 | Venezia | -4.2 | -0.3 pts |
| 60 | Perugia | -4.3 | +0.3 pts |
| 60 | Pisa | -4.3 | -0.5 pts |
| 60 | Pistoia | -4.3 | +0.7 pts |
| 63 | Enna | -4.4 | +0.6 pts |
| 64 | Cremona | -4.5 | -0.4 pts |
| 64 | Cuneo | -4.5 | -0.5 pts |
| 66 | Valle d’Aosta/Vallée d’Aoste | -4.6 | -0.3 pts |
| 67 | Ancona | -4.7 | +0.4 pts |
| 67 | Benevento | -4.7 | +0.4 pts |
| 67 | L’Aquila | -4.7 | +0.1 pts |
| 67 | Novara | -4.7 | -1 pts |
| 71 | Fermo | -4.9 | +1.6 pts |
| 71 | Nuoro | -4.9 | -0.2 pts |
| 71 | Ravenna | -4.9 | +0.1 pts |
| 71 | Torino | -4.9 | -0.5 pts |
| 75 | Arezzo | -5.2 | -0.4 pts |
| 75 | Chieti | -5.2 | +0.2 pts |
| 75 | Potenza | -5.2 | -0.3 pts |
| 78 | Piacenza | -5.3 | +0.4 pts |
| 78 | Rieti | -5.3 | +1.2 pts |
| 78 | Sud Sardegna | -5.3 | +0.4 pts |
| 81 | Siena | -5.6 | +0.2 pts |
| 81 | Udine | -5.6 | -0.1 pts |
| 81 | Viterbo | -5.6 | +0.4 pts |
| 84 | Ascoli Piceno | -5.7 | -0.1 pts |
| 85 | Pavia | -5.8 | +0.3 pts |
| 86 | Campobasso | -5.9 | -0.4 pts |
| 86 | Isernia | -5.9 | +0.1 pts |
| 88 | Belluno | -6 | +0.5 pts |
| 89 | Grosseto | -6.3 | +0.7 pts |
| 89 | Livorno | -6.3 | -0.2 pts |
| 89 | Lucca | -6.3 | -0.1 pts |
| 92 | Terni | -6.6 | +0.7 pts |
| 93 | Gorizia | -6.7 | -0.9 pts |
| 93 | Oristano | -6.7 | -0.7 pts |
| 95 | Verbano-Cusio-Ossola | -6.9 | +0.1 pts |
| 96 | Massa-Carrara | -7.5 | -0.5 pts |
| 96 | Rovigo | -7.5 | -0.7 pts |
| 98 | Asti | -7.6 | -0.7 pts |
| 98 | Trieste | -7.6 | +0.2 pts |
| 100 | La Spezia | -7.8 | -0.7 pts |
| 101 | Ferrara | -8 | +0.6 pts |
| 102 | Vercelli | -8.2 | +0.2 pts |
| 103 | Imperia | -8.5 | -0.8 pts |
| 104 | Genova | -8.6 | -0.3 pts |
| 105 | Alessandria | -8.8 | -0.3 pts |
| 106 | Biella | -8.9 | -0.8 pts |
| 107 | Savona | -9.2 | -0.3 pts |
Other periods
About this ranking
Live births minus deaths during the year per 1,000 average residents (Eurostat crude rate of natural change).
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 change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Italy by natural change rate, 2018) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
MLA 9
Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by natural change rate, 2018. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Italy by natural change rate, 2018. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018.
Harvard
Eurostat, European Commission (2026) Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by natural change rate, 2018 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2018,
author = {{Eurostat, European Commission}},
title = {{Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Italy by natural change rate, 2018}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018. Publisher attribution: Eurostat. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo\_r\_gind3/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Italy by natural change rate, 2018
PY - 2026
DA - 2026/07/21
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
L2 - https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/italy-provinces?period=2018.
N1 - Publisher attribution: Eurostat. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.
ER -
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 natural change rate using official data, and cite the source.
rank_places {"indicator":"natural_change_rate","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_rate&level=province&within=Italy&limit=10
Questions
Which area has the highest natural change rate?
Bolzano-Bozen, with 1.7 per 1,000 inhabitants in 2018, according to Eurostat, European Commission.
Which area has the lowest natural change rate?
Savona, with -9.2 per 1,000 inhabitants in 2018.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.
Natural change rate: other rankings
- NUTS 3 areas of Portugal
- NUTS 3 areas of Romania
- NUTS 3 areas of Hungary
- Regions of Poland (NUTS 2)
- Regions of Bulgaria (NUTS 2)
- Regions of Germany (NUTS 2)