NUTS 3 areas of Poland by net migration rate including statistical adjustment
Warszawski zachodni had the highest net migration rate including statistical adjustment of 73 areas in 2020, at 77.1 per 1,000 inhabitants. Przemyski had the lowest, at -63.7 per 1,000 inhabitants. The median was -34.5 per 1,000 inhabitants and the figure for Poland was -20.3 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 areas, 2020
Full ranking
| Rank | Areas | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Warszawski zachodni Series break | 77.1 | +65 pts |
| 2 | Warszawski wschodni Series break | 49.2 | +40.3 pts |
| 3 | Miasto Wrocław Series break | 44.6 | +40.9 pts |
| 4 | Miasto Warszawa Series break | 42.6 | +36.1 pts |
| 5 | Poznański Series break | 42.3 | +30.6 pts |
| 6 | Wrocławski Series break | 37.9 | +28.1 pts |
| 7 | Gdański Series break | 31 | +22.5 pts |
| 8 | Krakowski Series break | 18.8 | +13.7 pts |
| 9 | Miasto Kraków Series break | 18.6 | +8.9 pts |
| 10 | Miasto Poznań Series break | 16.2 | +19 pts |
| 11 | Łódzki Series break | 7.8 | +3 pts |
| 12 | Żyrardowski Series break | 1.6 | +1.5 pts |
| 13 | Trójmiejski Series break | 0.7 | -4.7 pts |
| 14 | Miasto Łódź Series break | -11.3 | -10.5 pts |
| 15 | Tyski Series break | -14.7 | -16.5 pts |
| 16 | Leszczyński Series break | -15.3 | -15 pts |
| 17 | Miasto Szczecin Series break | -16.1 | -18.5 pts |
| 18 | Bielski Series break | -16.7 | -17.9 pts |
| 19 | Opolski Series break | -17.6 | -16 pts |
| 20 | Kaliski Series break | -21.3 | -20.4 pts |
| 21 | Sosnowiecki Series break | -23.3 | -21.8 pts |
| 22 | Bydgosko-toruński Series break | -25 | -27.3 pts |
| 23 | Skierniewicki Series break | -26.2 | -24.2 pts |
| 24 | Ciechanowski Series break | -27.2 | -24.3 pts |
| 24 | Gorzowski Series break | -27.2 | -27.5 pts |
| 26 | Szczeciński Series break | -27.3 | -29.1 pts |
| 27 | Koszaliński Series break | -28.6 | -28.6 pts |
| 28 | Siedlecki Series break | -29.3 | -27.4 pts |
| 29 | Sieradzki Series break | -30 | -27.8 pts |
| 30 | Lubelski Series break | -30.1 | -31.1 pts |
| 31 | Oświęcimski Series break | -30.3 | -28.6 pts |
| 32 | Rzeszowski Series break | -30.5 | -34.2 pts |
| 33 | Koniński Series break | -31.9 | -30.3 pts |
| 34 | Białostocki Series break | -33 | -34.5 pts |
| 35 | Chojnicki Series break | -33.4 | -31.7 pts |
| 36 | Legnicko-głogowski Series break | -33.5 | -32 pts |
| 37 | Ostrołęcki Series break | -34.5 | -31.2 pts |
| 38 | Częstochowski Series break | -34.8 | -34.9 pts |
| 39 | Płocki Series break | -35.1 | -32.9 pts |
| 39 | Zielonogórski Series break | -35.1 | -35.1 pts |
| 41 | Piotrkowski Series break | -35.3 | -33.3 pts |
| 42 | Pilski Series break | -37.2 | -34 pts |
| 43 | Grudziądzki Series break | -37.9 | -34.9 pts |
| 43 | Rybnicki Series break | -37.9 | -36.7 pts |
| 45 | Słupski Series break | -38.6 | -37.5 pts |
| 46 | Nowotarski Series break | -40.5 | -39 pts |
| 47 | Nowosądecki Series break | -41 | -38.6 pts |
| 48 | Katowicki Series break | -41.5 | -40.2 pts |
| 49 | Jeleniogórski Series break | -42.8 | -41.5 pts |
| 50 | Bytomski Series break | -42.9 | -42.5 pts |
| 51 | Radomski Series break | -44.2 | -40.8 pts |
| 52 | Sandomiersko-jędrzejowski Series break | -44.6 | -41.1 pts |
| 53 | Starogardzki Series break | -45.1 | -43.1 pts |
| 54 | Włocławski Series break | -46.5 | -43.5 pts |
| 55 | Inowrocławski Series break | -46.9 | -44.4 pts |
| 56 | Tarnowski Series break | -48.3 | -46 pts |
| 57 | Nyski Series break | -48.4 | -46.6 pts |
| 58 | Suwalski Series break | -48.5 | -45.9 pts |
| 59 | Świecki Series break | -48.8 | -47.1 pts |
| 60 | Kielecki Series break | -49.4 | -47.3 pts |
| 61 | Elbląski Series break | -50 | -46.2 pts |
| 62 | Olsztyński Series break | -50.3 | -48.8 pts |
| 63 | Łomżyński Series break | -51.2 | -47.1 pts |
| 64 | Gliwicki Series break | -52.1 | -50.2 pts |
| 65 | Bialski Series break | -52.7 | -48.7 pts |
| 66 | Puławski Series break | -53.1 | -48.9 pts |
| 67 | Krośnieński Series break | -54.9 | -52.3 pts |
| 68 | Wałbrzyski Series break | -55.4 | -53.5 pts |
| 69 | Tarnobrzeski Series break | -56.7 | -53.5 pts |
| 70 | Szczecinecko-pyrzycki Series break | -60.9 | -56.4 pts |
| 71 | Ełcki Series break | -62.1 | -60.1 pts |
| 72 | Chełmsko-zamojski Series break | -63.4 | -58.8 pts |
| 73 | Przemyski Series break | -63.7 | -59.7 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
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 Poland by net migration rate including statistical adjustment, 2020) [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 Poland by net migration rate including statistical adjustment, 2020. 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/poland-provinces?period=2020. 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 Poland by net migration rate including statistical adjustment, 2020. 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/poland-provinces?period=2020.
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 Poland by net migration rate including statistical adjustment, 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-rate/poland-provinces?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2020,
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 Poland by net migration rate including statistical adjustment, 2020}},
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/poland-provinces?period=2020. 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 Poland by net migration rate including statistical adjustment, 2020
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/poland-provinces?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/poland-provinces?period=2020.
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 -
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 rate including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment_rate","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=province&within=Poland&limit=10
Questions
Which area has the highest net migration rate including statistical adjustment?
Warszawski zachodni, with 77.1 per 1,000 inhabitants in 2020, according to Eurostat, European Commission.
Which area has the lowest net migration rate including statistical adjustment?
Przemyski, with -63.7 per 1,000 inhabitants in 2020.
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
- Provinces of Spain
- NUTS 3 areas of Croatia
- NUTS 3 areas of France
- Regions of Netherlands (NUTS 2)
- Regions of Belgium (NUTS 2)
- Regions of Denmark (NUTS 2)