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 2019, at 11,504. Chełmsko-zamojski had the lowest, at -2,816. The median was -701 and the figure for Poland was 20,081. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Miasto Warszawa | 11,504 | -12.1% |
| 2 | Warszawski zachodni | 7,787 | +19.2% |
| 3 | Poznański | 7,777 | +4.4% |
| 4 | Miasto Kraków | 7,446 | +66.1% |
| 5 | Wrocławski | 5,780 | +14.2% |
| 6 | Warszawski wschodni | 5,700 | +22.8% |
| 7 | Gdański | 4,993 | +1.1% |
| 8 | Trójmiejski | 4,055 | +37.5% |
| 9 | Krakowski | 3,745 | +7.6% |
| 10 | Rzeszowski | 2,357 | +11.7% |
| 11 | Miasto Wrocław | 2,340 | +10% |
| 12 | Łódzki | 1,870 | -8.3% |
| 13 | Bydgosko-toruński | 1,747 | +36.1% |
| 14 | Miasto Szczecin | 969 | +143.5% |
| 15 | Szczeciński | 886 | -16.4% |
| 16 | Bielski | 764 | -33.3% |
| 17 | Białostocki | 743 | +42.1% |
| 18 | Lubelski | 699 | +11.7% |
| 19 | Tyski | 688 | -10.1% |
| 20 | Gorzowski | 114 | -68.9% |
| 21 | Żyrardowski | 37 | +122.2% |
| 22 | Częstochowski | 33 | -87.4% |
| 23 | Zielonogórski | 21 | -93.7% |
| 24 | Koszaliński | -7 | +95.9% |
| 25 | Bytomski | -165 | +41.9% |
| 26 | Leszczyński | -166 | -1,283.3% |
| 27 | Świecki | -324 | +31.9% |
| 28 | Słupski | -353 | +16.9% |
| 29 | Chojnicki | -373 | +6.8% |
| 30 | Nowotarski | -502 | -17.6% |
| 31 | Ełcki | -563 | +14.4% |
| 32 | Miasto Łódź | -568 | +33.7% |
| 33 | Kaliski | -619 | -447.8% |
| 34 | Nyski | -648 | -343.8% |
| 35 | Legnicko-głogowski | -673 | +5.7% |
| 36 | Suwalski | -687 | -5.2% |
| 37 | Skierniewicki | -701 | -36.9% |
| 38 | Płocki | -714 | -0.4% |
| 39 | Jeleniogórski | -717 | -37.1% |
| 40 | Rybnicki | -746 | -61.8% |
| 41 | Siedlecki | -802 | +32.6% |
| 42 | Starogardzki | -855 | +15.8% |
| 43 | Gliwicki | -897 | +39.6% |
| 44 | Inowrocławski | -898 | -37.1% |
| 45 | Olsztyński | -921 | -29.7% |
| 46 | Oświęcimski | -940 | -53.3% |
| 47 | Opolski | -956 | -86.4% |
| 48 | Sieradzki | -960 | -66.7% |
| 49 | Katowicki | -961 | +27.4% |
| 50 | Ciechanowski | -970 | -44.3% |
| 51 | Sosnowiecki | -996 | -8.1% |
| 52 | Tarnowski | -1,023 | -76.4% |
| 53 | Koniński | -1,057 | -86.4% |
| 54 | Włocławski | -1,069 | -45.6% |
| 55 | Piotrkowski | -1,158 | -44% |
| 56 | Grudziądzki | -1,159 | -19.4% |
| 57 | Bialski | -1,187 | -27.2% |
| 58 | Wałbrzyski | -1,196 | -15.2% |
| 59 | Krośnieński | -1,217 | -16.5% |
| 60 | Ostrołęcki | -1,266 | -5.8% |
| 61 | Nowosądecki | -1,280 | -85% |
| 62 | Pilski | -1,302 | -77.4% |
| 63 | Miasto Poznań | -1,486 | +29.6% |
| 64 | Przemyski | -1,520 | -16.1% |
| 65 | Kielecki | -1,563 | -28.7% |
| 66 | Łomżyński | -1,582 | -7.4% |
| 67 | Sandomiersko-jędrzejowski | -1,663 | -151.6% |
| 68 | Szczecinecko-pyrzycki | -1,889 | -26.9% |
| 69 | Tarnobrzeski | -1,892 | -35.6% |
| 70 | Elbląski | -1,936 | -46.7% |
| 71 | Puławski | -1,969 | -13.9% |
| 72 | Radomski | -2,062 | -29.4% |
| 73 | Chełmsko-zamojski | -2,816 | -11.3% |
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
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, 2019) [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, 2019. 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=2019. 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, 2019. 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=2019.
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, 2019 [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=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
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, 2019}},
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=2019. 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, 2019
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=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/poland-provinces?period=2019.
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 -
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 Poland by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=province&within=Poland&limit=10Questions
Which area has the highest net migration including statistical adjustment?
Miasto Warszawa, with 11,504 in 2019, according to Eurostat, European Commission.
Which area has the lowest net migration including statistical adjustment?
Chełmsko-zamojski, with -2,816 in 2019.
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 Slovenia
- NUTS 3 areas of Greece
- NUTS 3 areas of Estonia
- Regions of Belgium (NUTS 2)
- EU countries
- Regions of Italy (NUTS 2)