NUTS 3 areas of Italy by natural population change
Bolzano-Bozen had the highest natural population change of 102 areas in 2019, at 780. Roma had the lowest, at -11,993. The median was -1,671 and the figure for Italy was -214,333. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Bolzano-Bozen | 780 | -12.1% |
| 2 | Crotone | -203 | -290.4% |
| 3 | Vibo Valentia | -464 | -13.4% |
| 4 | Lodi | -484 | +14.5% |
| 5 | Caserta | -488 | -123.9% |
| 6 | Barletta-Andria-Trani | -502 | -61.9% |
| 7 | Isernia | -512 | -2.8% |
| 8 | Ragusa | -543 | -10.8% |
| 9 | Valle d’Aosta/Vallée d’Aoste | -551 | +3.8% |
| 10 | Napoli | -660 | -1,300% |
| 11 | Prato | -678 | +9.6% |
| 12 | Sondrio | -735 | -7.6% |
| 13 | Matera | -744 | -15.2% |
| 14 | Enna | -790 | -8.8% |
| 15 | Trento | -835 | -26.3% |
| 16 | Latina | -901 | -35.1% |
| 17 | Pordenone | -905 | +8.8% |
| 18 | Gorizia | -926 | -0.3% |
| 19 | Rieti | -958 | -16.3% |
| 20 | Fermo | -1,027 | -20.5% |
| 21 | Lecco | -1,062 | -10.9% |
| 22 | Catanzaro | -1,073 | +4.5% |
| 23 | Verbano-Cusio-Ossola | -1,095 | -0.6% |
| 24 | Ascoli Piceno | -1,097 | +6.8% |
| 25 | Caltanissetta | -1,151 | -32.8% |
| 26 | Rimini | -1,173 | -19% |
| 27 | Pescara | -1,182 | +6.6% |
| 28 | Campobasso | -1,224 | +6.6% |
| 29 | Siracusa | -1,258 | -17.1% |
| 30 | Belluno | -1,289 | -5.8% |
| 31 | Teramo | -1,304 | -20.7% |
| 32 | Benevento | -1,308 | -1% |
| 33 | Catania | -1,333 | -72.4% |
| 34 | Vercelli | -1,368 | +3% |
| 35 | Reggio Calabria | -1,370 | -35.1% |
| 36 | Piacenza | -1,421 | +6.8% |
| 37 | Biella | -1,447 | +7.6% |
| 38 | Pistoia | -1,454 | -15.6% |
| 39 | Cremona | -1,490 | +6.9% |
| 40 | Reggio nell’Emilia | -1,518 | -1.8% |
| 41 | Macerata | -1,545 | -20.8% |
| 41 | Massa-Carrara | -1,545 | -6.1% |
| 43 | La Spezia | -1,590 | +6.7% |
| 44 | Monza e della Brianza | -1,611 | -3.6% |
| 45 | Trapani | -1,624 | -18.3% |
| 46 | Parma | -1,635 | -10% |
| 47 | Brindisi | -1,637 | -12% |
| 48 | Terni | -1,638 | -9.9% |
| 49 | Imperia | -1,653 | +7.3% |
| 50 | Novara | -1,663 | +3.5% |
| 51 | Asti | -1,670 | -2.4% |
| 52 | Grosseto | -1,671 | -20.2% |
| 53 | L’Aquila | -1,678 | -19.5% |
| 54 | Siena | -1,690 | -12.7% |
| 55 | Foggia | -1,699 | -13% |
| 56 | Pesaro e Urbino | -1,712 | -16.1% |
| 57 | Rovigo | -1,715 | +2.9% |
| 58 | Arezzo | -1,802 | -1.3% |
| 59 | Verona | -1,804 | -25.5% |
| 60 | Forlì-Cesena | -1,806 | -24.7% |
| 61 | Mantova | -1,817 | -8.7% |
| 62 | Viterbo | -1,843 | -6.2% |
| 63 | Trieste | -1,858 | -4.6% |
| 64 | Agrigento | -1,862 | -25.2% |
| 65 | Avellino | -1,867 | -12.5% |
| 66 | Como | -1,886 | -7% |
| 67 | Bergamo | -1,909 | -33.5% |
| 68 | Chieti | -1,948 | +2.3% |
| 69 | Vicenza | -1,955 | -9.5% |
| 70 | Taranto | -1,995 | -12.4% |
| 71 | Pisa | -2,022 | -12.1% |
| 72 | Treviso | -2,042 | -28.3% |
| 73 | Potenza | -2,092 | -10.8% |
| 74 | Palermo | -2,158 | -12.9% |
| 75 | Frosinone | -2,216 | -13.2% |
| 76 | Livorno | -2,260 | -8.2% |
| 77 | Modena | -2,273 | -35% |
| 78 | Lucca | -2,368 | +1.7% |
| 79 | Ravenna | -2,372 | -25.5% |
| 80 | Ancona | -2,394 | -7.8% |
| 81 | Savona | -2,406 | +4.8% |
| 82 | Brescia | -2,514 | -19.8% |
| 83 | Bari | -2,550 | -33.7% |
| 84 | Cosenza | -2,561 | -29.3% |
| 85 | Padova | -2,622 | -11.8% |
| 86 | Ferrara | -2,686 | +3.4% |
| 87 | Cuneo | -2,737 | -3.3% |
| 88 | Salerno | -2,806 | -9.8% |
| 89 | Varese | -2,957 | -9.3% |
| 90 | Perugia | -3,048 | -9% |
| 91 | Messina | -3,070 | -16.6% |
| 92 | Udine | -3,134 | -6.1% |
| 93 | Lecce | -3,171 | -7.4% |
| 94 | Pavia | -3,347 | -6.1% |
| 95 | Alessandria | -3,834 | -2.8% |
| 96 | Venezia | -3,917 | -8.9% |
| 97 | Bologna | -4,468 | -8.4% |
| 98 | Firenze | -4,736 | -14.1% |
| 99 | Genova | -6,958 | +3.1% |
| 100 | Milano | -7,054 | -24.5% |
| 101 | Torino | -11,351 | -3.5% |
| 102 | Roma | -11,993 | -20.5% |
Other periods
About this ranking
Live births minus deaths during the year. A negative value means more deaths than births (Eurostat).
Every value in the ranking comes from the same publisher and the same period, so the areas are compared on one definition. 5 areas with data in other periods have no value for 2019 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Population change, 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, natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Italy by natural population change, 2019) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
MLA 9
Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by natural population change, 2019. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/natural-population-change/italy-provinces?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Italy by natural population change, 2019. 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-population-change/italy-provinces?period=2019.
Harvard
Eurostat, European Commission (2026) Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by natural population change, 2019 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/natural-population-change/italy-provinces?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
author = {{Eurostat, European Commission}},
title = {{Population change, natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Italy by natural population change, 2019}},
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-population-change/italy-provinces?period=2019. Publisher attribution: Eurostat. Population change, 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, natural change of population, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Italy by natural population change, 2019
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-population-change/italy-provinces?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-population-change/italy-provinces?period=2019.
N1 - Publisher attribution: Eurostat. Population change, 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
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Rank NUTS 3 areas of Italy by natural population change using official data, and cite the source.
rank_places {"indicator":"natural_change","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change&level=province&within=Italy&limit=10
Questions
Which area has the highest natural population change?
Bolzano-Bozen, with 780 in 2019, according to Eurostat, European Commission.
Which area has the lowest natural population change?
Roma, with -11,993 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 change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12. 5 areas have no value for 2019 and are not ranked.
Natural population change: other rankings
- NUTS 3 areas of Latvia
- NUTS 3 areas of Ireland
- NUTS 3 areas of Croatia
- Regions of Bulgaria (NUTS 2)
- Regions of Romania (NUTS 2)
- Regions of Portugal (NUTS 2)