NUTS 3 areas of Poland by net migration rate including statistical adjustment

Poznański had the highest net migration rate including statistical adjustment of 73 areas in 2016, at 8.7 per 1,000 inhabitants. Miasto Poznań had the lowest, at -4.5 per 1,000 inhabitants. The median was -0.8 per 1,000 inhabitants and the figure for Poland was 0.3 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest8.7Poznański
Lowest-4.5Miasto Poznań
Median-0.873 areas
Poland0.3History

Top 40 areas, 2016

Poznański: 8.7 per 1,000 inhabitantsPoznański8.7Warszawski zachodni: 7.7 per 1,000 inhabitantsWarszawski zachodni7.7Gdański: 6.6 per 1,000 inhabitantsGdański6.6Wrocławski: 6.4 per 1,000 inhabitantsWrocławski6.4Warszawski wschodni: 6.3 per 1,000 inhabitantsWarszawski wschodni6.3Krakowski: 4.9 per 1,000 inhabitantsKrakowski4.9Miasto Wrocław: 4.5 per 1,000 inhabitantsMiasto Wrocław4.5Miasto Warszawa: 4.4 per 1,000 inhabitantsMiasto Warszawa4.4Łódzki: 3.5 per 1,000 inhabitantsŁódzki3.5Rzeszowski: 2.8 per 1,000 inhabitantsRzeszowski2.8Miasto Kraków: 2.6 per 1,000 inhabitantsMiasto Kraków2.6Szczeciński: 1.6 per 1,000 inhabitantsSzczeciński1.6Bydgosko-toruński: 1.5 per 1,000 inhabitantsBydgosko-toruński1.5Trójmiejski: 1.5 per 1,000 inhabitantsTrójmiejski1.5Białostocki: 1.3 per 1,000 inhabitantsBiałostocki1.3Lubelski: 1.2 per 1,000 inhabitantsLubelski1.2Tyski: 1.2 per 1,000 inhabitantsTyski1.2Gorzowski: 1.1 per 1,000 inhabitantsGorzowski1.1Bielski: 0.8 per 1,000 inhabitantsBielski0.8Żyrardowski: 0.6 per 1,000 inhabitantsŻyrardowski0.6Opolski: 0 per 1,000 inhabitantsOpolski0Tarnobrzeski: -0.1 per 1,000 inhabitantsTarnobrzeski-0.1Sieradzki: -0.2 per 1,000 inhabitantsSieradzki-0.2Kielecki: -0.3 per 1,000 inhabitantsKielecki-0.3Częstochowski: -0.5 per 1,000 inhabitantsCzęstochowski-0.5Tarnowski: -0.5 per 1,000 inhabitantsTarnowski-0.5Ciechanowski: -0.6 per 1,000 inhabitantsCiechanowski-0.6Szczecinecko-pyrzycki: -0.6 per 1,000 inhabitantsSzczecinecko-pyrzycki-0.6Kaliski: -0.7 per 1,000 inhabitantsKaliski-0.7Koszaliński: -0.7 per 1,000 inhabitantsKoszaliński-0.7Miasto Łódź: -0.7 per 1,000 inhabitantsMiasto Łódź-0.7Nowosądecki: -0.7 per 1,000 inhabitantsNowosądecki-0.7Oświęcimski: -0.7 per 1,000 inhabitantsOświęcimski-0.7Słupski: -0.7 per 1,000 inhabitantsSłupski-0.7Starogardzki: -0.7 per 1,000 inhabitantsStarogardzki-0.7Jeleniogórski: -0.8 per 1,000 inhabitantsJeleniogórski-0.8Nowotarski: -0.8 per 1,000 inhabitantsNowotarski-0.8Świecki: -0.8 per 1,000 inhabitantsŚwiecki-0.8Zielonogórski: -0.8 per 1,000 inhabitantsZielonogórski-0.8Legnicko-głogowski: -0.9 per 1,000 inhabitantsLegnicko-głogowski-0.9Poznański: 8.7 per 1,000 inhabitantsPoznański8.7Warszawski zachodni: 7.7 per 1,000 inhabitantsWarszawski zachodni7.7Gdański: 6.6 per 1,000 inhabitantsGdański6.6Wrocławski: 6.4 per 1,000 inhabitantsWrocławski6.4Warszawski wschodni: 6.3 per 1,000 inhabitantsWarszawski wschodni6.3Krakowski: 4.9 per 1,000 inhabitantsKrakowski4.9Miasto Wrocław: 4.5 per 1,000 inhabitantsMiasto Wrocław4.5Miasto Warszawa: 4.4 per 1,000 inhabitantsMiasto Warszawa4.4Łódzki: 3.5 per 1,000 inhabitantsŁódzki3.5Rzeszowski: 2.8 per 1,000 inhabitantsRzeszowski2.8Miasto Kraków: 2.6 per 1,000 inhabitantsMiasto Kraków2.6Szczeciński: 1.6 per 1,000 inhabitantsSzczeciński1.6Bydgosko-toruński: 1.5 per 1,000 inhabitantsBydgosko-toruński1.5Trójmiejski: 1.5 per 1,000 inhabitantsTrójmiejski1.5Białostocki: 1.3 per 1,000 inhabitantsBiałostocki1.3Lubelski: 1.2 per 1,000 inhabitantsLubelski1.2Tyski: 1.2 per 1,000 inhabitantsTyski1.2Gorzowski: 1.1 per 1,000 inhabitantsGorzowski1.1Bielski: 0.8 per 1,000 inhabitantsBielski0.8Żyrardowski: 0.6 per 1,000 inhabitantsŻyrardowski0.6Opolski: 0 per 1,000 inhabitantsOpolski0Tarnobrzeski: -0.1 per 1,000 inhabitantsTarnobrzeski-0.1Sieradzki: -0.2 per 1,000 inhabitantsSieradzki-0.2Kielecki: -0.3 per 1,000 inhabitantsKielecki-0.3Częstochowski: -0.5 per 1,000 inhabitantsCzęstochowski-0.5Tarnowski: -0.5 per 1,000 inhabitantsTarnowski-0.5Ciechanowski: -0.6 per 1,000 inhabitantsCiechanowski-0.6Szczecinecko-pyrzycki: -0.6 per 1,000 inhabitantsSzczecinecko-pyrzycki-0.6Kaliski: -0.7 per 1,000 inhabitantsKaliski-0.7Koszaliński: -0.7 per 1,000 inhabitantsKoszaliński-0.7Miasto Łódź: -0.7 per 1,000 inhabitantsMiasto Łódź-0.7Nowosądecki: -0.7 per 1,000 inhabitantsNowosądecki-0.7Oświęcimski: -0.7 per 1,000 inhabitantsOświęcimski-0.7Słupski: -0.7 per 1,000 inhabitantsSłupski-0.7Starogardzki: -0.7 per 1,000 inhabitantsStarogardzki-0.7Jeleniogórski: -0.8 per 1,000 inhabitantsJeleniogórski-0.8Nowotarski: -0.8 per 1,000 inhabitantsNowotarski-0.8Świecki: -0.8 per 1,000 inhabitantsŚwiecki-0.8Zielonogórski: -0.8 per 1,000 inhabitantsZielonogórski-0.8Legnicko-głogowski: -0.9 per 1,000 inhabitantsLegnicko-głogowski-0.9
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

RankAreas2016
per 1,000 inhabitants
Change on 2015
1Poznański8.7+0.2 pts
2Warszawski zachodni7.7+0.5 pts
3Gdański6.6+1.3 pts
4Wrocławski6.4+1 pts
5Warszawski wschodni6.3+0.1 pts
6Krakowski4.9+0.5 pts
7Miasto Wrocław4.5+0.6 pts
8Miasto Warszawa4.40 pts
9Łódzki3.5-0.1 pts
10Rzeszowski2.8+1.2 pts
11Miasto Kraków2.6+2.3 pts
12Szczeciński1.6+2.5 pts
13Bydgosko-toruński1.5+0.8 pts
13Trójmiejski1.5+0.1 pts
15Białostocki1.3+1 pts
16Lubelski1.2+1.2 pts
16Tyski1.2+1 pts
18Gorzowski1.1+2.7 pts
19Bielski0.8+0.5 pts
20Żyrardowski0.6+0.8 pts
21Opolski0+1.9 pts
22Tarnobrzeski-0.1+0.4 pts
23Sieradzki-0.2+0.6 pts
24Kielecki-0.3+1.5 pts
25Częstochowski-0.5+0.6 pts
25Tarnowski-0.5+0.3 pts
27Ciechanowski-0.6+0.8 pts
27Szczecinecko-pyrzycki-0.6+3.8 pts
29Kaliski-0.7+0.3 pts
29Koszaliński-0.7+1.3 pts
29Miasto Łódź-0.7+0.5 pts
29Nowosądecki-0.7-0.2 pts
29Oświęcimski-0.7+0.3 pts
29Słupski-0.7+1.1 pts
29Starogardzki-0.7+1.7 pts
36Jeleniogórski-0.8+1.5 pts
36Nowotarski-0.8-0.7 pts
36Świecki-0.8+0.7 pts
36Zielonogórski-0.8+0.7 pts
40Legnicko-głogowski-0.9+1 pts
40Leszczyński-0.9+0.3 pts
40Rybnicki-0.9+1.1 pts
43Bytomski-1+0.4 pts
43Pilski-1+1.2 pts
43Piotrkowski-1+0.8 pts
46Chojnicki-1.1+0.6 pts
46Płocki-1.1+1 pts
48Inowrocławski-1.2+1.2 pts
49Nyski-1.3+1.6 pts
49Skierniewicki-1.3+0.6 pts
51Grudziądzki-1.4+1.7 pts
51Sosnowiecki-1.4+0.4 pts
53Ełcki-1.5+1 pts
53Krośnieński-1.5-0.1 pts
53Siedlecki-1.5+0.9 pts
53Wałbrzyski-1.5+1.3 pts
57Olsztyński-1.6-0.1 pts
58Koniński-1.7-0.3 pts
58Sandomiersko-jędrzejowski-1.7+0.1 pts
60Katowicki-1.8+0.8 pts
60Radomski-1.8+0.4 pts
62Włocławski-2.2-0.4 pts
63Ostrołęcki-2.3+0.9 pts
64Bialski-2.4+0.8 pts
65Przemyski-2.50 pts
65Suwalski-2.5+0.6 pts
67Gliwicki-2.6-0.3 pts
68Łomżyński-2.7+0.6 pts
69Chełmsko-zamojski-2.8+0.5 pts
70Puławski-3.1+0.3 pts
71Elbląski-3.9-1.2 pts
72Miasto Szczecin-4.3-6.1 pts
73Miasto Poznań-4.50 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

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) (NUTS 3 areas of Poland 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), NUTS 3 areas of Poland 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-provinces?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). NUTS 3 areas of Poland 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-provinces?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), NUTS 3 areas of Poland 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-provinces?period=2016 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_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): NUTS 3 areas of Poland 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-provinces?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): NUTS 3 areas of Poland 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-provinces?period=2016
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/poland-provinces?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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

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

Poznański, with 8.7 per 1,000 inhabitants in 2016, according to Eurostat, European Commission.

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

Miasto Poznań, with -4.5 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

NUTS 3 areas of Poland: more rankings