EU regions (NUTS 2) by net migration including statistical adjustment

Grande Lisboa had the highest net migration including statistical adjustment of 244 regions in 2022, at 216,799. Berlin had the lowest, at -40,776. The median was 7,203 and the figure for the European Union (27) was 3.16 million. Source: Eurostat, European Commission.

Highest216,799Grande Lisboa

Lowest-40,776Berlin

Median7,203244 regions

European Union (27)3,156,367History

Top 40 regions, 2022

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	Regions	2022 persons	Change on 2021
1	Grande Lisboa Series break	216,799	+36,521.5%
2	Catalonia	154,461	+552.4%
3	Community of Madrid	128,823	+751.8%
4	Valencian Community	122,300	+125.7%
5	Andalusia	88,957	+122%
6	Praha	81,202	+430.9%
7	Norte Series break	79,839	+283%
8	Lombardia	78,072	+22,079.5%
9	Algarve Series break	74,609	+3,939.5%
10	Střední Čechy	53,451	+237.6%
11	Península de Setúbal Series break	53,364	+983.8%
12	Centro (PT) Series break	52,596	+196.1%
13	Provence-Alpes-Côte d’Azur	50,707	+12.8%
14	Wien	49,403	+427.2%
15	Düsseldorf Series break	48,453	+256.9%
16	Zuid-Holland	47,324	+118.5%
17	Jihovýchod	45,532	+608.7%
18	Jihozápad	44,455	+573.2%
19	Severovýchod	41,864	+1,023.6%
20	Noord-Holland	40,278	+145.7%
21	Eesti	39,757	+464.5%
22	Eastern and Midland	39,468	+19.1%
23	Vidurio ir vakarų Lietuvos regionas	38,619	+351.1%
24	Emilia-Romagna	37,596	+217.2%
25	Aquitaine	37,477	-7.2%
26	Saarland Series break	37,138	+764.9%
27	Noord-Brabant	35,220	+84.9%
28	Bretagne	34,567	+3.8%
29	Southern	34,317	+76.7%
30	Latvija	34,259	+12,078.7%
31	Schleswig-Holstein Series break	34,022	+50.4%
32	Lazio	33,901	+203.1%
33	Canary Islands	33,900	+205.4%
34	Sostinės regionas	33,478	+201.8%
35	Oeste e Vale do Tejo Series break	32,728	+89.1%
36	Castilla-La Mancha	31,832	+173%
37	Languedoc-Roussillon	31,299	-9.1%
38	Alentejo Series break	30,377	+464.7%
39	Thüringen Series break	28,631	+254.4%
40	Rhône-Alpes	28,222	-1.9%
41	Pays de la Loire	27,980	+24.4%
42	Piemonte	27,891	+150.8%
43	Severozápad	27,603	+1,923.7%
44	Brandenburg Series break	27,254	+8.3%
45	Galicia	27,096	+113.1%
46	Koblenz Series break	26,758	+226.7%
47	Karlsruhe Series break	26,652	+213.6%
48	Toscana	26,083	+647.8%
49	Castile and León	25,999	+295.9%
50	Veneto	25,526	+1,964.6%
51	Gelderland	25,154	+74.9%
52	Bucureşti-Ilfov Estimated	25,059	+150.9%
53	Freiburg Series break	24,662	+141.7%
54	Niederösterreich	24,560	+98.6%
55	Prov. Antwerpen	24,233	+179.6%
56	Northern and Western	23,922	+179%
57	Balearic Islands	23,104	+694%
58	Arnsberg Series break	22,720	+209%
59	Midi-Pyrénées	22,442	-25.8%
60	Region of Murcia	21,804	+112.7%
61	Malta	21,798	+471.1%
62	Bremen Series break	21,468	+973.4%
63	Basque Country	21,014	+945.5%
64	Střední Morava	19,801	+2,300.1%
65	Hovedstaden	19,512	+237.2%
66	Detmold Series break	19,503	+172.2%
67	Aragon	19,463	+1,361.2%
68	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	18,641	+510.2%
69	Prov. Oost-Vlaanderen	18,625	+70.6%
70	Oberösterreich	18,121	+91%
71	Münster Series break	17,874	+52.7%
72	Nord-Vest Estimated	17,119	+991.1%
73	Helsinki-Uusimaa	17,103	+119.1%
74	Dresden Series break	16,428	+242.9%
75	Kýpros	16,418	+34.8%
76	Warszawski stołeczny	16,050	-21.6%
77	Pest	15,870	-20.8%
78	Centru Estimated	15,865	+202%
79	Moravskoslezsko	15,834	+15,325%
80	Steiermark	15,761	+96.5%
81	Midtjylland	15,637	+125%
82	Utrecht	15,002	+252.2%
83	Stockholm	14,726	+51.7%
84	Prov. West-Vlaanderen	14,383	+75.6%
85	Limburg (NL)	14,164	+104.7%
86	Tübingen Series break	14,151	+63.2%
87	Prov. Vlaams-Brabant	14,099	+44.9%
88	Weser-Ems Series break	13,928	-10.1%
89	Liguria	13,844	+192.2%
90	Västsverige	13,737	+54.1%
91	Luxembourg	13,366	+57.9%
92	Poitou-Charentes	13,295	-8.6%
93	Overijssel	12,841	+136.2%
94	Nord-Est Estimated	12,128	-84%
95	Leipzig Series break	11,859	+33.6%
96	Syddanmark	11,589	+105.6%
97	Vest Estimated	11,073	+114.9%
98	Prov. Limburg (BE)	10,893	+76.7%
99	Yugozapaden	10,799	-24.1%
100	Sydsverige	10,588	+5.9%
101	Mittelfranken Series break	10,558	+131.5%
102	Östra Mellansverige	10,541	-12.6%
103	Asturias	10,292	+622.2%
104	Basse-Normandie	9,924	+14.3%
105	Jadranska Hrvatska	9,818	+2,797.3%
106	Alsace	9,723	+184.3%
107	Chemnitz Series break	9,413	+123.2%
108	Centre - Val de Loire	9,374	-19.2%
109	Sjælland	9,211	+32.7%
110	Navarre	9,199	+193%
111	Sud-Muntenia Estimated	8,574	-48.7%
112	Prov. Hainaut	8,532	+27.3%
113	Länsi-Suomi	8,525	+33.5%
114	Friuli-Venezia Giulia	8,200	+238.1%
115	Marche	7,975	+1,479.8%
116	Nyugat-Dunántúl	7,954	+23.9%
117	Flevoland	7,708	+78.8%
118	Yuzhen tsentralen	7,707	-20.4%
119	Vzhodna Slovenija	7,635	+224.2%
120	Prov. Liège	7,606	+128.8%
121	Bourgogne	7,592	-0.3%
122	Sud-Est Estimated	7,303	-77.5%
123	Groningen	7,103	+72.1%
124	Braunschweig Series break	7,053	+0.3%
125	Zahodna Slovenija	7,022	+5,517.6%
126	Friesland (NL)	6,829	+104.8%
127	Kärnten	6,781	+58.1%
128	Tirol	6,733	+150.4%
129	Cantabria	6,479	+84.6%
130	Drenthe	6,302	+43.1%
131	Budapest	6,238	+170.4%
132	Közép-Dunántúl	6,167	+44.5%
133	Salzburg	5,620	+281.8%
134	Limousin	5,501	+15.7%
134	Sud-Vest Oltenia Estimated	5,501	+241.5%
136	Abruzzo	5,434	+86.5%
137	Zeeland	5,302	+111.4%
138	Corse	5,205	+13.9%
139	Burgenland	5,201	+77.3%
140	Região Autónoma da Madeira Series break	5,137	+167%
141	Dolnośląskie	5,048	+9.7%
142	Etelä-Suomi	4,926	+29.6%
143	Pomorskie	4,698	+2.6%
144	Bratislavský kraj	4,492	-90.4%
145	Vorarlberg	4,368	+186.8%
146	Nordjylland	4,290	+146%
147	Umbria	4,276	+1,196.4%
148	Severoiztochen	4,214	-38.4%
149	Auvergne	4,201	-43.1%
150	Småland med öarna	4,079	-7.1%
151	Grad Zagreb	3,980	+362.3%
152	La Rioja	3,938	+182.9%
153	Região Autónoma dos Açores Series break	3,828	+155%
154	Sachsen-Anhalt Series break	3,761	-61.8%
155	Prov. Namur	3,758	+20.9%
156	Sjeverna Hrvatska	3,724	+118.7%
157	Prov. Brabant wallon	3,613	+71.2%
158	Sardegna	3,583	-53.6%
159	Provincia Autonoma di Trento	3,461	+346,200%
160	Yugoiztochen	3,400	-43.7%
161	Pohjois- ja Itä-Suomi	3,372	-22.2%
162	Sicilia	3,343	-84.2%
163	Lorraine	3,284	+43.8%
164	Małopolskie	3,217	-16.6%
165	Prov. Luxembourg (BE)	3,119	+26.5%
166	Puglia	3,117	-65.6%
167	Extremadura	3,071	+1,163.8%
168	Anatoliki Makedonia, Thraki	2,726	+515.3%
169	Övre Norrland	2,369	+29.5%
170	Norra Mellansverige	2,287	-15%
171	Campania	2,106	-88.1%
172	Haute-Normandie	2,073	-64.2%
173	Rheinhessen-Pfalz Series break	2,041	-74.4%
174	Dél-Alföld	1,955	-0.8%
175	Wielkopolskie	1,901	-53.3%
176	Ipeiros	1,868	+128.9%
177	Dél-Dunántúl	1,855	+47.3%
178	Provincia Autonoma di Bolzano/Bozen	1,840	+173.9%
179	Sterea Elláda	1,711	+177%
180	Ile-de-France	1,558	+107.5%
181	La Réunion	1,516	-38.6%
182	Severen tsentralen	1,442	-58.3%
183	Kentriki Makedonia	1,354	+120.4%
184	Mayotte	1,126	0%
185	Molise	1,087	+123.2%
186	Köln Series break	959	-75.2%
187	Mellersta Norrland	906	-20%
188	Západné Slovensko	870	-72.3%
189	Voreio Aigaio	862	+138.8%
190	Calabria	644	-84.9%
191	Valle d’Aosta/Vallée d’Aoste	519	+1,630%
192	Peloponnisos	515	+129.8%
193	Basilicata	314	+169.2%
194	Martinique	307	-76.1%
195	Melilla	151	+108%
196	Åland	71	-61.6%
197	Attiki	61	+100.4%
198	Ceuta	-115	+89.2%
199	Severozapaden	-118	-126.9%
200	Thessalia	-137	+90.7%
201	Guadeloupe	-239	+68.2%
202	Kriti	-380	+75.2%
203	Zachodniopomorskie	-437	+68.7%
204	Dytiki Elláda	-595	+68.1%
205	Guyane	-894	+82.1%
206	Lubuskie	-923	+45.3%
207	Ionia Nisia	-966	-24%
208	Franche-Comté	-1,071	-144.7%
209	Opolskie	-1,118	+42.9%
210	Notio Aigaio	-1,144	+44.5%
211	Podkarpackie	-1,161	+45%
212	Podlaskie	-1,217	+20.1%
213	Łódzkie	-1,252	+58.7%
214	Észak-Magyarország	-1,415	-46%
215	Dytiki Makedonia	-1,634	+2.3%
216	Stredné Slovensko	-1,989	+89.2%
217	Świętokrzyskie	-1,991	+4.8%
218	Warmińsko-mazurskie	-2,242	+17.5%
219	Stuttgart Series break	-2,262	-677.3%
220	Észak-Alföld	-2,333	+27.3%
221	Východné Slovensko	-2,378	+94%
222	Kujawsko-pomorskie	-2,458	+11.4%
223	Champagne-Ardenne	-2,604	+0.9%
224	Mazowiecki regionalny	-3,399	+10.9%
225	Śląskie	-3,455	+30.2%
226	Picardie	-3,572	-237%
227	Oberfranken Series break	-3,797	-175.5%
228	Lubelskie	-3,970	+22.6%
229	Unterfranken Series break	-5,197	-184.2%
230	Panonska Hrvatska	-5,837	+13.1%
231	Oberpfalz Series break	-5,842	-185.7%
232	Niederbayern Series break	-5,915	-164.5%
233	Lüneburg Series break	-5,931	-139.5%
234	Nord-Pas de Calais	-6,738	-2,323.7%
235	Trier Series break	-9,524	-346.5%
236	Gießen Series break	-9,737	-287.1%
237	Schwaben Series break	-11,235	-183.9%
238	Kassel Series break	-12,212	-327.8%
239	Darmstadt Series break	-18,132	-994.1%
240	Hamburg Series break	-20,437	-2,754.3%
241	Mecklenburg-Vorpommern Series break	-20,554	-261.9%
242	Hannover Series break	-22,016	-329.7%
243	Oberbayern Series break	-22,820	-527.9%
244	Berlin Series break	-40,776	-442%

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 regions 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) (EU regions (NUTS 2) by net migration 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, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration 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-including-statistical-adjustment/eu-regions?period=2022. 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). EU regions (NUTS 2) by net migration 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-including-statistical-adjustment/eu-regions?period=2022.

Harvard

Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration 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-including-statistical-adjustment/eu-regions?period=2022 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_eu_regions_nuts_2_2022,
  author = {{Eurostat, European Commission}},
  title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): EU regions (NUTS 2) by net migration 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-including-statistical-adjustment/eu-regions?period=2022. 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): EU regions (NUTS 2) by net migration 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-including-statistical-adjustment/eu-regions?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2022.
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 region has the highest net migration including statistical adjustment?

Grande Lisboa, with 216,799 in 2022, according to Eurostat, European Commission.

Which region has the lowest net migration including statistical adjustment?

Berlin, with -40,776 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, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.