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 2020, at 77,869. Chełmsko-zamojski had the lowest, at -37,398. The median was -14,781 and the figure for Poland was -762,735. Source: Eurostat, European Commission.

Highest77,869Miasto Warszawa

Lowest-37,398Chełmsko-zamojski

Median-14,78173 areas

Poland-762,735History

Top 40 areas, 2020

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

Rank	Areas	2020 persons	Change on 2019
1	Miasto Warszawa Series break	77,869	+576.9%
2	Warszawski zachodni Series break	51,955	+567.2%
3	Warszawski wschodni Series break	32,525	+470.6%
4	Miasto Wrocław Series break	29,283	+1,151.4%
5	Poznański Series break	28,913	+271.8%
6	Wrocławski Series break	23,015	+298.2%
7	Gdański Series break	18,651	+273.5%
8	Miasto Kraków Series break	14,538	+95.2%
9	Krakowski Series break	13,822	+269.1%
10	Miasto Poznań Series break	8,744	+688.4%
11	Łódzki Series break	3,016	+61.3%
12	Trójmiejski Series break	496	-87.8%
13	Żyrardowski Series break	411	+1,010.8%
14	Tyski Series break	-5,738	-934%
15	Miasto Szczecin Series break	-6,374	-757.8%
16	Chojnicki Series break	-7,328	-1,864.6%
17	Miasto Łódź Series break	-7,647	-1,246.3%
18	Leszczyński Series break	-8,440	-4,984.3%
19	Świecki Series break	-8,828	-2,624.7%
20	Ciechanowski Series break	-9,012	-829.1%
21	Skierniewicki Series break	-9,195	-1,211.7%
22	Koszaliński Series break	-9,826	-140,271.4%
23	Opolski Series break	-10,112	-957.7%
24	Gorzowski Series break	-10,156	-9,008.8%
25	Bielski Series break	-10,915	-1,528.7%
26	Płocki Series break	-11,140	-1,460.2%
27	Siedlecki Series break	-12,011	-1,397.6%
28	Słupski Series break	-12,405	-3,414.2%
28	Suwalski Series break	-12,405	-1,705.7%
30	Ostrołęcki Series break	-12,875	-917%
31	Sieradzki Series break	-13,014	-1,255.6%
32	Nowotarski Series break	-13,322	-2,553.8%
33	Szczeciński Series break	-13,589	-1,633.7%
34	Kaliski Series break	-13,988	-2,159.8%
35	Grudziądzki Series break	-14,171	-1,122.7%
36	Legnicko-głogowski Series break	-14,528	-2,058.7%
37	Pilski Series break	-14,781	-1,035.3%
38	Bialski Series break	-15,201	-1,180.6%
39	Sosnowiecki Series break	-15,380	-1,444.2%
40	Włocławski Series break	-15,988	-1,395.6%
41	Oświęcimski Series break	-16,216	-1,625.1%
42	Inowrocławski Series break	-16,387	-1,724.8%
43	Białostocki Series break	-16,441	-2,312.8%
44	Ełcki Series break	-16,810	-2,885.8%
45	Nyski Series break	-17,054	-2,531.8%
46	Częstochowski Series break	-17,299	-52,521.2%
47	Bytomski Series break	-18,009	-10,814.5%
48	Starogardzki Series break	-18,715	-2,088.9%
49	Łomżyński Series break	-18,957	-1,098.3%
50	Bydgosko-toruński Series break	-19,034	-1,189.5%
51	Rzeszowski Series break	-19,070	-909.1%
52	Piotrkowski Series break	-19,980	-1,625.4%
53	Sandomiersko-jędrzejowski Series break	-20,393	-1,126.3%
54	Koniński Series break	-20,461	-1,835.8%
55	Lubelski Series break	-21,029	-3,108.4%
56	Tarnowski Series break	-21,285	-1,980.6%
57	Zielonogórski Series break	-21,389	-101,952.4%
58	Nowosądecki Series break	-21,503	-1,579.9%
59	Jeleniogórski Series break	-22,952	-3,101.1%
60	Rybnicki Series break	-23,037	-2,988.1%
61	Gliwicki Series break	-23,358	-2,504%
62	Przemyski Series break	-23,555	-1,449.7%
63	Puławski Series break	-24,274	-1,132.8%
64	Szczecinecko-pyrzycki Series break	-24,460	-1,194.9%
65	Krośnieński Series break	-25,039	-1,957.4%
66	Elbląski Series break	-25,079	-1,195.4%
67	Radomski Series break	-26,000	-1,160.9%
68	Katowicki Series break	-29,620	-2,982.2%
69	Olsztyński Series break	-29,641	-3,118.3%
70	Tarnobrzeski Series break	-32,921	-1,640%
71	Wałbrzyski Series break	-34,202	-2,759.7%
72	Kielecki Series break	-36,036	-2,205.6%
73	Chełmsko-zamojski Series break	-37,398	-1,228.1%

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, 2020) [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, 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-including-statistical-adjustment/poland-provinces?period=2020. 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, 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-including-statistical-adjustment/poland-provinces?period=2020.

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, 2020 [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=2020 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2020,
  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, 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-including-statistical-adjustment/poland-provinces?period=2020. 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, 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-including-statistical-adjustment/poland-provinces?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/poland-provinces?period=2020.
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 77,869 in 2020, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Chełmsko-zamojski, with -37,398 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, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.