Regions of Poland (NUTS 2) by net migration rate including statistical adjustment

Warszawski stołeczny had the highest net migration rate including statistical adjustment of 17 regions in 2016, at 5.5 per 1,000 inhabitants. Warmińsko-mazurskie had the lowest, at -2.4 per 1,000 inhabitants. The median was -0.4 per 1,000 inhabitants and the figure for Poland was 0.3 per 1,000 inhabitants. Source: Eurostat, European Commission.

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Median-0.417 regions
Poland0.3History

All regions, 2016

Warszawski stołeczny: 5.5 per 1,000 inhabitantsWarszawski stołeczny5.5Pomorskie: 1.8 per 1,000 inhabitantsPomorskie1.8Dolnośląskie: 1.6 per 1,000 inhabitantsDolnośląskie1.6Małopolskie: 1.2 per 1,000 inhabitantsMałopolskie1.2Wielkopolskie: 0.2 per 1,000 inhabitantsWielkopolskie0.2Lubuskie: 0 per 1,000 inhabitantsLubuskie0Podkarpackie: 0 per 1,000 inhabitantsPodkarpackie0Łódzkie: -0.1 per 1,000 inhabitantsŁódzkie-0.1Kujawsko-pomorskie: -0.4 per 1,000 inhabitantsKujawsko-pomorskie-0.4Opolskie: -0.5 per 1,000 inhabitantsOpolskie-0.5Śląskie: -0.8 per 1,000 inhabitantsŚląskie-0.8Świętokrzyskie: -0.8 per 1,000 inhabitantsŚwiętokrzyskie-0.8Zachodniopomorskie: -0.8 per 1,000 inhabitantsZachodniopomorskie-0.8Podlaskie: -0.9 per 1,000 inhabitantsPodlaskie-0.9Mazowiecki regionalny: -1.3 per 1,000 inhabitantsMazowiecki regionalny-1.3Lubelskie: -1.5 per 1,000 inhabitantsLubelskie-1.5Warmińsko-mazurskie: -2.4 per 1,000 inhabitantsWarmińsko-mazurskie-2.4Warszawski stołeczny: 5.5 per 1,000 inhabitantsWarszawski stołeczny5.5Pomorskie: 1.8 per 1,000 inhabitantsPomorskie1.8Dolnośląskie: 1.6 per 1,000 inhabitantsDolnośląskie1.6Małopolskie: 1.2 per 1,000 inhabitantsMałopolskie1.2Wielkopolskie: 0.2 per 1,000 inhabitantsWielkopolskie0.2Lubuskie: 0 per 1,000 inhabitantsLubuskie0Podkarpackie: 0 per 1,000 inhabitantsPodkarpackie0Łódzkie: -0.1 per 1,000 inhabitantsŁódzkie-0.1Kujawsko-pomorskie: -0.4 per 1,000 inhabitantsKujawsko-pomorskie-0.4Opolskie: -0.5 per 1,000 inhabitantsOpolskie-0.5Śląskie: -0.8 per 1,000 inhabitantsŚląskie-0.8Świętokrzyskie: -0.8 per 1,000 inhabitantsŚwiętokrzyskie-0.8Zachodniopomorskie: -0.8 per 1,000 inhabitantsZachodniopomorskie-0.8Podlaskie: -0.9 per 1,000 inhabitantsPodlaskie-0.9Mazowiecki regionalny: -1.3 per 1,000 inhabitantsMazowiecki regionalny-1.3Lubelskie: -1.5 per 1,000 inhabitantsLubelskie-1.5Warmińsko-mazurskie: -2.4 per 1,000 inhabitantsWarmińsko-mazurskie-2.4
per 1,000 inhabitants. Source: Eurostat, Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankRegions2016
per 1,000 inhabitants
Change on 2015
1Warszawski stołeczny5.5+0.1 pts
2Pomorskie1.8+0.9 pts
3Dolnośląskie1.6+1.1 pts
4Małopolskie1.2+0.6 pts
5Wielkopolskie0.2+0.3 pts
6Lubuskie0+1.5 pts
6Podkarpackie0+0.4 pts
8Łódzkie-0.1+0.5 pts
9Kujawsko-pomorskie-0.4+0.8 pts
10Opolskie-0.5+1.8 pts
11Śląskie-0.8+0.6 pts
11Świętokrzyskie-0.8+1 pts
11Zachodniopomorskie-0.8+0.6 pts
14Podlaskie-0.9+0.8 pts
15Mazowiecki regionalny-1.3+0.8 pts
16Lubelskie-1.5+0.7 pts
17Warmińsko-mazurskie-2.4-0.2 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 regions 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

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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016) [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), Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016. 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-regions?period=2016. 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). Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016. 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-regions?period=2016.

Harvard

Eurostat, European Commission (2026) Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016 [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-regions?period=2016 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_poland_nuts_2016,
  author = {{Eurostat, European Commission}},
  title = {{Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016}},
  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-regions?period=2016. 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): Regions of Poland (NUTS 2) by net migration rate including statistical adjustment, 2016
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-regions?period=2016
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/poland-regions?period=2016.
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  - 
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Questions

Which region has the highest net migration rate including statistical adjustment?

Warszawski stołeczny, with 5.5 per 1,000 inhabitants in 2016, according to Eurostat, European Commission.

Which region has the lowest net migration rate including statistical adjustment?

Warmińsko-mazurskie, with -2.4 per 1,000 inhabitants in 2016.

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

Regions of Poland (NUTS 2): more rankings