NUTS 3 areas of Italy by net migration rate including statistical adjustment

Pavia had the highest net migration rate including statistical adjustment of 107 areas in 2023, at 11.5 per 1,000 inhabitants. Caltanissetta had the lowest, at -4.3 per 1,000 inhabitants. The median was 5.3 per 1,000 inhabitants and the figure for Italy was 4.5 per 1,000 inhabitants. Source: Eurostat, European Commission.

Highest11.5Pavia
Lowest-4.3Caltanissetta
Median5.3107 areas
Italy4.5History

Top 40 areas, 2023

Pavia: 11.5 per 1,000 inhabitantsPavia11.5Savona: 10.8 per 1,000 inhabitantsSavona10.8Genova: 9.8 per 1,000 inhabitantsGenova9.8Piacenza: 9.8 per 1,000 inhabitantsPiacenza9.8Ferrara: 9.6 per 1,000 inhabitantsFerrara9.6Parma: 9.4 per 1,000 inhabitantsParma9.4Lodi: 9.3 per 1,000 inhabitantsLodi9.3Alessandria: 9.2 per 1,000 inhabitantsAlessandria9.2Imperia: 9.2 per 1,000 inhabitantsImperia9.2La Spezia: 9 per 1,000 inhabitantsLa Spezia9Milano: 8.8 per 1,000 inhabitantsMilano8.8Ravenna: 8.8 per 1,000 inhabitantsRavenna8.8Bologna: 8.6 per 1,000 inhabitantsBologna8.6Gorizia: 8.3 per 1,000 inhabitantsGorizia8.3Forlì-Cesena: 8 per 1,000 inhabitantsForlì-Cesena8Novara: 8 per 1,000 inhabitantsNovara8Mantova: 7.8 per 1,000 inhabitantsMantova7.8Vercelli: 7.8 per 1,000 inhabitantsVercelli7.8Cremona: 7.6 per 1,000 inhabitantsCremona7.6Trieste: 7.4 per 1,000 inhabitantsTrieste7.4Modena: 7.3 per 1,000 inhabitantsModena7.3Ragusa: 7.3 per 1,000 inhabitantsRagusa7.3Reggio nell’Emilia: 7.2 per 1,000 inhabitantsReggio nell’Emilia7.2Rimini: 7.2 per 1,000 inhabitantsRimini7.2Verbano-Cusio-Ossola: 7 per 1,000 inhabitantsVerbano-Cusio-Ossola7Livorno: 6.9 per 1,000 inhabitantsLivorno6.9Bergamo: 6.8 per 1,000 inhabitantsBergamo6.8Monza e della Brianza: 6.8 per 1,000 inhabitantsMonza e della Brianza6.8Pistoia: 6.8 per 1,000 inhabitantsPistoia6.8Cuneo: 6.7 per 1,000 inhabitantsCuneo6.7Pesaro e Urbino: 6.6 per 1,000 inhabitantsPesaro e Urbino6.6Biella: 6.5 per 1,000 inhabitantsBiella6.5Lucca: 6.5 per 1,000 inhabitantsLucca6.5Prato: 6.5 per 1,000 inhabitantsPrato6.5Torino: 6.5 per 1,000 inhabitantsTorino6.5Trento: 6.5 per 1,000 inhabitantsTrento6.5Pisa: 6.4 per 1,000 inhabitantsPisa6.4Pordenone: 6.4 per 1,000 inhabitantsPordenone6.4Massa-Carrara: 6.2 per 1,000 inhabitantsMassa-Carrara6.2Bolzano-Bozen: 6.1 per 1,000 inhabitantsBolzano-Bozen6.1
per 1,000 inhabitants. Source: Eurostat, Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankAreas2023
per 1,000 inhabitants
Change on 2022
1Pavia11.50 pts
2Savona10.8+2.4 pts
3Genova9.8+0.6 pts
3Piacenza9.8+0.8 pts
5Ferrara9.6+0.4 pts
6Parma9.4-1.6 pts
7Lodi9.3+1.7 pts
8Alessandria9.2+0.4 pts
8Imperia9.2-1.7 pts
10La Spezia9+0.6 pts
11Milano8.8+0.7 pts
11Ravenna8.8-0.5 pts
13Bologna8.6-0.4 pts
14Gorizia8.3-0.1 pts
15Forlì-Cesena8+1.3 pts
15Novara80 pts
17Mantova7.8-2.3 pts
17Vercelli7.8-0.5 pts
19Cremona7.6-0.1 pts
20Trieste7.4-1.3 pts
21Modena7.3-0.6 pts
21Ragusa7.3-0.6 pts
23Reggio nell’Emilia7.2+0.2 pts
23Rimini7.2+0.1 pts
25Verbano-Cusio-Ossola7-1.3 pts
26Livorno6.9-0.4 pts
27Bergamo6.80 pts
27Monza e della Brianza6.8-0.5 pts
27Pistoia6.8-1.1 pts
30Cuneo6.7-0.5 pts
31Pesaro e Urbino6.6+0.8 pts
32Biella6.5+1 pts
32Lucca6.5-0.8 pts
32Prato6.5-3.1 pts
32Torino6.5+1.1 pts
32Trento6.5+0.1 pts
37Pisa6.4-0.4 pts
37Pordenone6.4-0.7 pts
39Massa-Carrara6.2+0.8 pts
40Bolzano-Bozen6.1+2.7 pts
40Firenze6.1-1.6 pts
40Udine6.1+0.6 pts
43Teramo6+1.5 pts
44Ancona5.9-1.2 pts
45Lecco5.8-0.4 pts
46Belluno5.70 pts
46Viterbo5.7-0.5 pts
48Brescia5.6-1.1 pts
48Padova5.6-0.2 pts
48Rovigo5.6-0.1 pts
51Como5.5-3.3 pts
52Rieti5.4+0.6 pts
52Sondrio5.4-0.1 pts
54Varese5.3-2.3 pts
55Venezia4.9-0.5 pts
56Grosseto4.8-2.6 pts
56Verona4.8-0.7 pts
58Roma4.6-2.3 pts
59Arezzo4.5-0.4 pts
59Asti4.5-3.3 pts
59Siena4.5-1 pts
62Vicenza4.2-0.4 pts
63Campobasso4.1-0.6 pts
63Fermo4.1-0.4 pts
65Treviso4-0.8 pts
66Latina3.8+0.4 pts
66Sassari3.8+0.2 pts
68Chieti3.7-0.8 pts
68L’Aquila3.7+0.2 pts
70Ascoli Piceno3.4+0.1 pts
71Macerata3.3-0.7 pts
71Valle d’Aosta/Vallée d’Aoste3.3-0.9 pts
73Perugia3.2-1.9 pts
73Terni3.2-1.5 pts
75Vibo Valentia3.1+3.5 pts
76Messina3+0.5 pts
76Pescara3-1.4 pts
78Cagliari2.7-0.7 pts
79Caserta2.5-0.4 pts
80Cosenza2.40 pts
81Siracusa2.2-0.6 pts
82Sud Sardegna2+1.3 pts
83Salerno1.30 pts
84Lecce1-0.1 pts
84Oristano1-0.7 pts
86Bari0.9-1.4 pts
87Avellino0.8+0.6 pts
87Catanzaro0.8+0.5 pts
89Catania0.6+0.4 pts
90Palermo0.5+0.9 pts
91Trapani0.4-0.5 pts
92Isernia0.3-0.8 pts
93Nuoro0.2+0.6 pts
94Brindisi0-1.1 pts
95Benevento-0.1+0.7 pts
95Frosinone-0.1-0.7 pts
97Matera-0.3-4.1 pts
98Foggia-0.5+0.6 pts
98Taranto-0.5-0.2 pts
100Agrigento-0.8+0.3 pts
101Napoli-1.2-0.6 pts
102Barletta-Andria-Trani-1.5-1.1 pts
103Crotone-1.8-0.5 pts
104Potenza-2.2-1 pts
105Enna-2.3+1.4 pts
106Reggio Calabria-2.7-1.1 pts
107Caltanissetta-4.3-0.9 pts

Other periods

About this ranking

Net migration including statistical adjustment during the year per 1,000 average residents (Eurostat crude rate of net migration plus statistical adjustment).

Comparable across EU countries and regions. Eurostat derives the net figure as a residual of population change, so it includes census revisions and other statistical adjustments.

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 net migration plus statistical adjustment, 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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

Eurostat, European Commission. (2026). Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023) [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 net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/net-migration-rate/italy-provinces?period=2023. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023. 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/net-migration-rate/italy-provinces?period=2023.

Harvard

Eurostat, European Commission (2026) Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-rate/italy-provinces?period=2023 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2023,
  author = {{Eurostat, European Commission}},
  title = {{Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023}},
  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/net-migration-rate/italy-provinces?period=2023. Publisher attribution: Eurostat. Population change, crude rate of net migration plus statistical adjustment, 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 net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Italy by net migration rate including statistical adjustment, 2023
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/net-migration-rate/italy-provinces?period=2023
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/italy-provinces?period=2023.
N1  - Publisher attribution: Eurostat. Population change, crude rate of net migration plus statistical adjustment, 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  - 
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Questions

Which area has the highest net migration rate including statistical adjustment?

Pavia, with 11.5 per 1,000 inhabitants in 2023, according to Eurostat, European Commission.

Which area has the lowest net migration rate including statistical adjustment?

Caltanissetta, with -4.3 per 1,000 inhabitants in 2023.

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 net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Net migration rate including statistical adjustment: other rankings

NUTS 3 areas of Italy: more rankings