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 2019, at 12.1 per 1,000 inhabitants. Chełmsko-zamojski had the lowest, at -4.6 per 1,000 inhabitants. The median was -1.6 per 1,000 inhabitants and the figure for Poland was 0.5 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Warszawski zachodni | 12.1 | +1.8 pts |
| 2 | Poznański | 11.7 | +0.3 pts |
| 3 | Wrocławski | 9.8 | +1.2 pts |
| 4 | Miasto Kraków | 9.7 | +3.8 pts |
| 5 | Warszawski wschodni | 8.9 | +1.6 pts |
| 6 | Gdański | 8.5 | 0 pts |
| 7 | Miasto Warszawa | 6.5 | -0.9 pts |
| 8 | Trójmiejski | 5.4 | +1.4 pts |
| 9 | Krakowski | 5.1 | +0.3 pts |
| 10 | Łódzki | 4.8 | -0.5 pts |
| 11 | Miasto Wrocław | 3.7 | +0.4 pts |
| 11 | Rzeszowski | 3.7 | +0.3 pts |
| 13 | Miasto Szczecin | 2.4 | +1.4 pts |
| 14 | Bydgosko-toruński | 2.3 | +0.6 pts |
| 15 | Szczeciński | 1.8 | -0.3 pts |
| 15 | Tyski | 1.8 | -0.2 pts |
| 17 | Białostocki | 1.5 | +0.5 pts |
| 18 | Bielski | 1.2 | -0.5 pts |
| 19 | Lubelski | 1 | +0.1 pts |
| 20 | Gorzowski | 0.3 | -0.7 pts |
| 21 | Częstochowski | 0.1 | -0.4 pts |
| 21 | Żyrardowski | 0.1 | +0.7 pts |
| 23 | Koszaliński | 0 | +0.5 pts |
| 23 | Zielonogórski | 0 | -0.5 pts |
| 25 | Leszczyński | -0.3 | -0.3 pts |
| 26 | Bytomski | -0.4 | +0.3 pts |
| 27 | Miasto Łódź | -0.8 | +0.4 pts |
| 28 | Kaliski | -0.9 | -0.7 pts |
| 29 | Słupski | -1.1 | +0.2 pts |
| 30 | Rybnicki | -1.2 | -0.5 pts |
| 31 | Jeleniogórski | -1.3 | -0.4 pts |
| 31 | Katowicki | -1.3 | +0.5 pts |
| 33 | Legnicko-głogowski | -1.5 | +0.1 pts |
| 33 | Nowotarski | -1.5 | -0.2 pts |
| 33 | Olsztyński | -1.5 | -0.3 pts |
| 33 | Sosnowiecki | -1.5 | -0.1 pts |
| 37 | Koniński | -1.6 | -0.7 pts |
| 37 | Opolski | -1.6 | -0.7 pts |
| 39 | Chojnicki | -1.7 | +0.1 pts |
| 39 | Oświęcimski | -1.7 | -0.6 pts |
| 39 | Świecki | -1.7 | +0.9 pts |
| 42 | Nyski | -1.8 | -1.4 pts |
| 43 | Gliwicki | -1.9 | +1.3 pts |
| 43 | Siedlecki | -1.9 | +0.9 pts |
| 43 | Wałbrzyski | -1.9 | -0.3 pts |
| 46 | Ełcki | -2 | +0.3 pts |
| 46 | Piotrkowski | -2 | -0.6 pts |
| 46 | Skierniewicki | -2 | -0.6 pts |
| 46 | Starogardzki | -2 | +0.4 pts |
| 50 | Kielecki | -2.1 | -0.5 pts |
| 51 | Płocki | -2.2 | 0 pts |
| 51 | Sieradzki | -2.2 | -0.9 pts |
| 53 | Tarnowski | -2.3 | -1 pts |
| 54 | Nowosądecki | -2.4 | -1.1 pts |
| 55 | Inowrocławski | -2.5 | -0.7 pts |
| 56 | Krośnieński | -2.6 | -0.4 pts |
| 56 | Suwalski | -2.6 | -0.1 pts |
| 58 | Miasto Poznań | -2.8 | +1.1 pts |
| 59 | Ciechanowski | -2.9 | -0.9 pts |
| 60 | Grudziądzki | -3 | -0.5 pts |
| 60 | Włocławski | -3 | -0.9 pts |
| 62 | Pilski | -3.2 | -1.4 pts |
| 62 | Tarnobrzeski | -3.2 | -0.9 pts |
| 64 | Ostrołęcki | -3.3 | -0.2 pts |
| 65 | Radomski | -3.4 | -0.8 pts |
| 66 | Sandomiersko-jędrzejowski | -3.5 | -2.1 pts |
| 67 | Elbląski | -3.8 | -1.3 pts |
| 68 | Bialski | -4 | -0.9 pts |
| 68 | Przemyski | -4 | -0.6 pts |
| 70 | Łomżyński | -4.1 | -0.3 pts |
| 71 | Puławski | -4.2 | -0.6 pts |
| 72 | Szczecinecko-pyrzycki | -4.5 | -1 pts |
| 73 | Chełmsko-zamojski | -4.6 | -0.5 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, 2019) [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, 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-rate/poland-provinces?period=2019. 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, 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-rate/poland-provinces?period=2019.
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, 2019 [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=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
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, 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-rate/poland-provinces?period=2019. 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, 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-rate/poland-provinces?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/poland-provinces?period=2019.
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 12.1 per 1,000 inhabitants in 2019, according to Eurostat, European Commission.
Which area has the lowest net migration rate including statistical adjustment?
Chełmsko-zamojski, with -4.6 per 1,000 inhabitants 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, 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)