NUTS 3 areas of Poland by net migration including statistical adjustment

Miasto Warszawa had the highest net migration including statistical adjustment of 73 areas in 2018, at 13,085. Chełmsko-zamojski had the lowest, at -2,531. The median was -567 and the figure for Poland was 22,147. Source: Eurostat, European Commission.

Highest13,085Miasto Warszawa
Lowest-2,531Chełmsko-zamojski
Median-56773 areas
Poland22,147History

Top 40 areas, 2018

Miasto Warszawa: 13,085 personsMiasto Warszawa13,085Poznański: 7,448 personsPoznański7,448Warszawski zachodni: 6,530 personsWarszawski zachodni6,530Wrocławski: 5,063 personsWrocławski5,063Gdański: 4,939 personsGdański4,939Warszawski wschodni: 4,640 personsWarszawski wschodni4,640Miasto Kraków: 4,482 personsMiasto Kraków4,482Krakowski: 3,480 personsKrakowski3,480Trójmiejski: 2,949 personsTrójmiejski2,949Miasto Wrocław: 2,127 personsMiasto Wrocław2,127Rzeszowski: 2,110 personsRzeszowski2,110Łódzki: 2,040 personsŁódzki2,040Bydgosko-toruński: 1,284 personsBydgosko-toruński1,284Bielski: 1,146 personsBielski1,146Szczeciński: 1,060 personsSzczeciński1,060Tyski: 765 personsTyski765Lubelski: 626 personsLubelski626Białostocki: 523 personsBiałostocki523Miasto Szczecin: 398 personsMiasto Szczecin398Gorzowski: 366 personsGorzowski366Zielonogórski: 331 personsZielonogórski331Częstochowski: 261 personsCzęstochowski261Leszczyński: -12 personsLeszczyński-12Kaliski: -113 personsKaliski-113Nyski: -146 personsNyski-146Żyrardowski: -167 personsŻyrardowski-167Koszaliński: -172 personsKoszaliński-172Bytomski: -284 personsBytomski-284Chojnicki: -400 personsChojnicki-400Słupski: -425 personsSłupski-425Nowotarski: -427 personsNowotarski-427Rybnicki: -461 personsRybnicki-461Świecki: -476 personsŚwiecki-476Skierniewicki: -512 personsSkierniewicki-512Opolski: -513 personsOpolski-513Jeleniogórski: -523 personsJeleniogórski-523Koniński: -567 personsKoniński-567Sieradzki: -576 personsSieradzki-576Tarnowski: -580 personsTarnowski-580Oświęcimski: -613 personsOświęcimski-613
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

RankAreas2018
persons
Change on 2017
1Miasto Warszawa13,085+49.4%
2Poznański7,448+26.6%
3Warszawski zachodni6,530+27.1%
4Wrocławski5,063+20.3%
5Gdański4,939+21.8%
6Warszawski wschodni4,640+19.6%
7Miasto Kraków4,482+212.6%
8Krakowski3,480-3.9%
9Trójmiejski2,949+559.7%
10Miasto Wrocław2,127+35.3%
11Rzeszowski2,110+16.4%
12Łódzki2,040+18%
13Bydgosko-toruński1,284-7.1%
14Bielski1,146+11.8%
15Szczeciński1,060+49.7%
16Tyski765+13.7%
17Lubelski626+3,030%
18Białostocki523+36.6%
19Miasto Szczecin398+306.2%
20Gorzowski366+312.8%
21Zielonogórski331+154.4%
22Częstochowski261+160.8%
23Leszczyński-12+96.8%
24Kaliski-113+78.3%
25Nyski-146-87.2%
26Żyrardowski-167-208.4%
27Koszaliński-172-252.2%
28Bytomski-284+40.1%
29Chojnicki-400-103%
30Słupski-425-112.5%
31Nowotarski-427-33.4%
32Rybnicki-461+11%
33Świecki-476-67.6%
34Skierniewicki-512+7.2%
35Opolski-513-1,800%
36Jeleniogórski-523+26%
37Koniński-567+27.1%
38Sieradzki-576-46.9%
39Tarnowski-580-42.9%
40Oświęcimski-613-31.3%
41Suwalski-653+24.9%
42Inowrocławski-655-17.6%
43Ełcki-658-1,504.9%
44Sandomiersko-jędrzejowski-661+42%
45Ciechanowski-672+29.5%
46Nowosądecki-692-45.1%
47Olsztyński-710+7.9%
48Płocki-711-30.7%
49Legnicko-głogowski-714+3.6%
50Pilski-734+17.9%
50Włocławski-734-77.7%
52Piotrkowski-804+15.6%
53Miasto Łódź-857+46.9%
54Sosnowiecki-921+10%
55Bialski-933+2.5%
56Grudziądzki-971-61%
57Starogardzki-1,015-25.3%
58Wałbrzyski-1,038+33.2%
59Krośnieński-1,045+4%
60Siedlecki-1,190-84.2%
61Ostrołęcki-1,197-21.8%
62Kielecki-1,214-28.1%
63Przemyski-1,309-34.4%
64Elbląski-1,320+13.4%
65Katowicki-1,324+3.8%
66Tarnobrzeski-1,395-16.6%
67Łomżyński-1,473-30.1%
68Gliwicki-1,484-33.7%
69Szczecinecko-pyrzycki-1,4890%
70Radomski-1,594-48.8%
71Puławski-1,729+4.4%
72Miasto Poznań-2,112+10.8%
73Chełmsko-zamojski-2,531-22.2%

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 Poland by net migration including statistical adjustment, 2018) [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 Poland by net migration including statistical adjustment, 2018. 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/poland-provinces?period=2018. 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 Poland by net migration including statistical adjustment, 2018. 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/poland-provinces?period=2018.

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 Poland by net migration including statistical adjustment, 2018 [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/poland-provinces?period=2018 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2018,
  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 Poland by net migration including statistical adjustment, 2018}},
  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/poland-provinces?period=2018. 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 Poland by net migration including statistical adjustment, 2018
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/poland-provinces?period=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/poland-provinces?period=2018.
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?

Miasto Warszawa, with 13,085 in 2018, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Chełmsko-zamojski, with -2,531 in 2018.

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.

Net migration including statistical adjustment: other rankings

NUTS 3 areas of Poland: more rankings