NUTS 3 areas of Italy by net migration including statistical adjustment

Roma had the highest net migration including statistical adjustment of 107 areas in 2013, at 43,843. Napoli had the lowest, at -4,180. The median was 515 and the figure for Italy was 155,044. Source: Eurostat, European Commission.

Highest43,843Roma

Lowest-4,180Napoli

Median515107 areas

Italy155,044History

Top 40 areas, 2013

persons. Source: Eurostat, Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

Rank	Areas	2013 persons	Change on 2012
1	Roma	43,843	-32.4%
2	Milano	38,508	+24.4%
3	Bologna	8,258	-20.6%
4	Firenze	7,413	-25.7%
5	Parma	4,257	-11.4%
6	Torino	3,870	-70%
7	Trento	3,107	-16.1%
8	Modena	3,082	-16.2%
9	Varese	2,990	-42.3%
10	Verona	2,950	-43.9%
11	Venezia	2,670	-0.8%
12	Bolzano-Bozen	2,539	+6.1%
13	Monza e della Brianza	2,505	-66.6%
14	Pavia	2,457	-47.2%
15	Reggio nell’Emilia	2,411	-36.9%
16	Alessandria	2,387	+2.2%
17	Rimini	2,320	-30.8%
18	Como	2,287	-28.8%
19	Latina	2,286	-62%
20	Padova	2,285	-39.8%
21	Bergamo	2,205	-55.1%
22	Pisa	2,048	-33.4%
23	Udine	1,990	-26.8%
24	Ravenna	1,904	-29.7%
25	Sassari	1,873	-14.1%
26	Trieste	1,754	+14.5%
27	Cuneo	1,716	-38.3%
28	Prato	1,695	-39.2%
29	Forlì-Cesena	1,685	-3%
30	La Spezia	1,490	+13.6%
31	Piacenza	1,402	-27.8%
32	Genova	1,297	-65.4%
33	Brescia	1,294	-74.9%
34	Terni	1,177	-30.4%
35	Ferrara	1,170	-26%
36	Perugia	929	-73.2%
37	Savona	917	-45%
38	Ancona	859	-61.2%
39	Viterbo	836	-70%
40	Mantova	834	-64.1%
41	Gorizia	784	+68.2%
42	Pistoia	728	-6.2%
43	Pescara	703	-45.1%
44	Siena	675	-36.3%
45	Sondrio	628	+74%
46	Rieti	607	-60.6%
47	Palermo	606	-59.5%
48	Campobasso	587	+16.7%
49	Macerata	567	-63.1%
50	Asti	556	-62.9%
51	Lecco	542	-54.5%
52	Valle d’Aosta/Vallée d’Aoste	522	-30.6%
52	Vicenza	522	-74.4%
54	Fermo	515	+13.2%
55	Lodi	483	-65.8%
56	L’Aquila	465	-54.5%
57	Novara	463	-75.9%
58	Crotone	457	+288.8%
59	Grosseto	396	-57.4%
60	Ascoli Piceno	366	-56.7%
61	Cremona	349	-78.7%
62	Livorno	282	-72.1%
63	Verbano-Cusio-Ossola	279	-23.1%
64	Lucca	273	-79.4%
64	Pordenone	273	-77.5%
66	Vercelli	208	-56.9%
67	Isernia	194	-31.7%
68	Rovigo	176	-81.1%
69	Ragusa	127	-87.3%
70	Matera	112	-50.4%
71	Teramo	75	-93.6%
72	Biella	52	-78.5%
73	Cagliari	44	-96.5%
74	Belluno	38	+132.5%
75	Treviso	30	-98.6%
76	Potenza	13	+102.5%
77	Massa-Carrara	-10	-116.9%
78	Imperia	-15	-102.3%
79	Arezzo	-38	-102.9%
80	Oristano	-110	-289.7%
81	Nuoro	-252	+34.7%
82	Frosinone	-254	-135.9%
83	Pesaro e Urbino	-260	-149.2%
84	Sud Sardegna	-266	+38.9%
85	Catanzaro	-270	-24.4%
86	Chieti	-284	-134.5%
87	Trapani	-394	-515.6%
88	Benevento	-523	-15.5%
89	Vibo Valentia	-607	+44.7%
90	Reggio Calabria	-697	+26.1%
91	Enna	-774	+14.3%
92	Catania	-778	-251.7%
93	Caserta	-849	-4.7%
94	Salerno	-869	-580.1%
95	Cosenza	-1,017	+24.2%
96	Caltanissetta	-1,037	+15.9%
97	Barletta-Andria-Trani	-1,084	-2%
98	Siracusa	-1,202	-14.8%
99	Brindisi	-1,221	-42.8%
100	Taranto	-1,421	+24.3%
101	Agrigento	-1,517	-6.8%
102	Messina	-1,670	+8.3%
103	Bari	-1,700	+23.7%
104	Avellino	-1,792	-14.7%
105	Lecce	-2,390	-48.4%
106	Foggia	-2,672	+9%
107	Napoli	-4,180	+40.7%

Other periods

About this ranking

Population change during the year minus natural change (live births minus deaths), including statistical adjustment. A negative value means the population fell by more than natural change explains (Eurostat demographic balance).

Eurostat calculates this as a residual, not by counting immigrants and emigrants, so it also absorbs census revisions and other statistical adjustments. For the EU it reflects migration to and from countries outside the EU. net_migration (World Bank, UN estimate) uses a different method, so the two series differ.

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, 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, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Italy by net migration including statistical adjustment, 2013) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table

MLA 9

Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by net migration including statistical adjustment, 2013. 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-including-statistical-adjustment/italy-provinces?period=2013. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Italy by net migration including statistical adjustment, 2013. 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-including-statistical-adjustment/italy-provinces?period=2013.

Harvard

Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Italy by net migration including statistical adjustment, 2013 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-including-statistical-adjustment/italy-provinces?period=2013 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2013,
  author = {{Eurostat, European Commission}},
  title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Italy by net migration including statistical adjustment, 2013}},
  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-including-statistical-adjustment/italy-provinces?period=2013. Publisher attribution: Eurostat. Population change, 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, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Italy by net migration including statistical adjustment, 2013
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-including-statistical-adjustment/italy-provinces?period=2013
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/italy-provinces?period=2013.
N1  - Publisher attribution: Eurostat. Population change, 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 including statistical adjustment?

Roma, with 43,843 in 2013, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Napoli, with -4,180 in 2013.

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