Data / Rankings / Net migration rate including statistical adjustment / NUTS 3 areas of Italy

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 2022, at 11.5 per 1,000 inhabitants. Enna had the lowest, at -3.7 per 1,000 inhabitants. The median was 5.5 per 1,000 inhabitants and the figure for Italy was 4.9 per 1,000 inhabitants. Source: Eurostat, European Commission.

Highest11.5Pavia
Lowest-3.7Enna
Median5.5107 areas
Italy4.9History

Top 40 areas, 2022

Pavia: 11.5 per 1,000 inhabitantsPavia11.5Parma: 11 per 1,000 inhabitantsParma11Imperia: 10.9 per 1,000 inhabitantsImperia10.9Mantova: 10.1 per 1,000 inhabitantsMantova10.1Prato: 9.6 per 1,000 inhabitantsPrato9.6Ravenna: 9.3 per 1,000 inhabitantsRavenna9.3Ferrara: 9.2 per 1,000 inhabitantsFerrara9.2Genova: 9.2 per 1,000 inhabitantsGenova9.2Bologna: 9 per 1,000 inhabitantsBologna9Piacenza: 9 per 1,000 inhabitantsPiacenza9Alessandria: 8.8 per 1,000 inhabitantsAlessandria8.8Como: 8.8 per 1,000 inhabitantsComo8.8Trieste: 8.7 per 1,000 inhabitantsTrieste8.7Gorizia: 8.4 per 1,000 inhabitantsGorizia8.4La Spezia: 8.4 per 1,000 inhabitantsLa Spezia8.4Savona: 8.4 per 1,000 inhabitantsSavona8.4Verbano-Cusio-Ossola: 8.3 per 1,000 inhabitantsVerbano-Cusio-Ossola8.3Vercelli: 8.3 per 1,000 inhabitantsVercelli8.3Milano: 8.1 per 1,000 inhabitantsMilano8.1Novara: 8 per 1,000 inhabitantsNovara8Modena: 7.9 per 1,000 inhabitantsModena7.9Pistoia: 7.9 per 1,000 inhabitantsPistoia7.9Ragusa: 7.9 per 1,000 inhabitantsRagusa7.9Asti: 7.8 per 1,000 inhabitantsAsti7.8Cremona: 7.7 per 1,000 inhabitantsCremona7.7Firenze: 7.7 per 1,000 inhabitantsFirenze7.7Lodi: 7.6 per 1,000 inhabitantsLodi7.6Varese: 7.6 per 1,000 inhabitantsVarese7.6Grosseto: 7.4 per 1,000 inhabitantsGrosseto7.4Livorno: 7.3 per 1,000 inhabitantsLivorno7.3Lucca: 7.3 per 1,000 inhabitantsLucca7.3Monza e della Brianza: 7.3 per 1,000 inhabitantsMonza e della Brianza7.3Cuneo: 7.2 per 1,000 inhabitantsCuneo7.2Ancona: 7.1 per 1,000 inhabitantsAncona7.1Pordenone: 7.1 per 1,000 inhabitantsPordenone7.1Rimini: 7.1 per 1,000 inhabitantsRimini7.1Reggio nell’Emilia: 7 per 1,000 inhabitantsReggio nell’Emilia7Roma: 6.9 per 1,000 inhabitantsRoma6.9Bergamo: 6.8 per 1,000 inhabitantsBergamo6.8Pisa: 6.8 per 1,000 inhabitantsPisa6.8
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

RankAreas2022
per 1,000 inhabitants		Change on 2021
1Pavia11.5+6.3 pts
2Parma11+8.1 pts
3Imperia10.9+4.5 pts
4Mantova10.1+8 pts
5Prato9.6+31.4 pts
6Ravenna9.3+4.6 pts
7Ferrara9.2+6.3 pts
7Genova9.2+7.7 pts
9Bologna9+7.9 pts
9Piacenza9+3.7 pts
11Alessandria8.8+4.3 pts
11Como8.8+6.7 pts
13Trieste8.7+6.8 pts
14Gorizia8.4+8.6 pts
14La Spezia8.4+3.3 pts
14Savona8.4+4.4 pts
17Verbano-Cusio-Ossola8.3+5.2 pts
17Vercelli8.3+2.1 pts
19Milano8.1+13.3 pts
20Novara8+5.2 pts
21Modena7.9+6.6 pts
21Pistoia7.9+3.4 pts
21Ragusa7.9+1.7 pts
24Asti7.8+4 pts
25Cremona7.7+4.2 pts
25Firenze7.7+13.2 pts
27Lodi7.6+4.3 pts
27Varese7.6+5.4 pts
29Grosseto7.4+3.2 pts
30Livorno7.3+4.6 pts
30Lucca7.3+3.5 pts
30Monza e della Brianza7.3+3.8 pts
33Cuneo7.2+4.6 pts
34Ancona7.1+5.7 pts
34Pordenone7.1+5.9 pts
34Rimini7.1-0.2 pts
37Reggio nell’Emilia7+6 pts
38Roma6.9+6 pts
39Bergamo6.8+5 pts
39Pisa6.8+3.4 pts
41Brescia6.7+5.2 pts
41Forlì-Cesena6.7+3.5 pts
43Trento6.4+6.4 pts
44Lecco6.2+4.6 pts
44Viterbo6.2-0.6 pts
46Padova5.8+5.3 pts
46Pesaro e Urbino5.8+9.7 pts
48Belluno5.7+4 pts
48Rovigo5.7+4.6 pts
50Biella5.5-0.2 pts
50Siena5.5+7.9 pts
50Sondrio5.5+0.9 pts
50Udine5.5+2.4 pts
50Verona5.5+6.5 pts
55Massa-Carrara5.4+3.7 pts
55Torino5.4+3.8 pts
55Venezia5.4+7.4 pts
58Perugia5.1+6.1 pts
59Arezzo4.9+2.6 pts
60Rieti4.8-2 pts
60Treviso4.8+4.4 pts
62Campobasso4.7+1.8 pts
62Terni4.7+3.6 pts
64Vicenza4.6+4.9 pts
65Chieti4.5+1.7 pts
65Fermo4.5+4.8 pts
65Teramo4.5+3.8 pts
68Pescara4.4-0.4 pts
69Valle d’Aosta/Vallée d’Aoste4.2+4 pts
70Macerata4+4.7 pts
71Matera3.8+4.4 pts
72Sassari3.6-2.5 pts
73L’Aquila3.5+3 pts
74Bolzano-Bozen3.4+8.1 pts
74Cagliari3.4-1.7 pts
74Latina3.4-2 pts
77Ascoli Piceno3.3+1.3 pts
78Caserta2.9-2.7 pts
79Siracusa2.8-1.9 pts
80Messina2.5-2.9 pts
81Cosenza2.4-1 pts
82Bari2.3+0.4 pts
83Oristano1.7-2.2 pts
84Salerno1.3-1.6 pts
85Brindisi1.1-2.3 pts
85Isernia1.1+2.7 pts
85Lecce1.1-3.8 pts
88Trapani0.9-2 pts
89Sud Sardegna0.7-4.5 pts
90Frosinone0.6-2.3 pts
91Catanzaro0.3-2 pts
92Avellino0.2-2.2 pts
92Catania0.2-5.9 pts
94Taranto-0.3-2.6 pts
95Barletta-Andria-Trani-0.4-2 pts
95Nuoro-0.4-2.2 pts
95Palermo-0.4-4.2 pts
95Vibo Valentia-0.4-1.2 pts
99Napoli-0.6-3.4 pts
100Benevento-0.8-1.4 pts
101Agrigento-1.1-6.2 pts
101Foggia-1.1-0.7 pts
103Potenza-1.2-0.2 pts
104Crotone-1.3-2 pts
105Reggio Calabria-1.6-3.4 pts
106Caltanissetta-3.4-1.5 pts
107Enna-3.7-4.4 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, 2022) [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, 2022. 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=2022. 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, 2022. 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=2022.

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, 2022 [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=2022 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2022,
  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, 2022}},
  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=2022. 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, 2022
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=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/italy-provinces?period=2022.
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  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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 net migration rate including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment_rate","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=province&within=Italy&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

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

Pavia, with 11.5 per 1,000 inhabitants in 2022, according to Eurostat, European Commission.

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

Enna, with -3.7 per 1,000 inhabitants in 2022.

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