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 2014, at 10,003. Katowicki had the lowest, at -2,400. The median was -699 and the figure for Poland was -10,935. Source: Eurostat, European Commission.
Top 40 areas, 2014
Full ranking
| Rank | Areas | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Miasto Warszawa | 10,003 | -4.9% |
| 2 | Poznański | 4,921 | -19.6% |
| 3 | Warszawski zachodni | 4,782 | |
| 4 | Warszawski wschodni | 3,782 | |
| 5 | Gdański | 3,553 | -1.9% |
| 6 | Wrocławski | 3,109 | -15% |
| 7 | Krakowski | 2,900 | -17.9% |
| 8 | Miasto Wrocław | 2,631 | +108.8% |
| 9 | Miasto Kraków | 2,555 | +359.5% |
| 10 | Łódzki | 1,613 | 0% |
| 11 | Rzeszowski | 975 | +5.3% |
| 12 | Trójmiejski | 653 | -13.6% |
| 13 | Bydgosko-toruński | 485 | +1,202.3% |
| 14 | Szczeciński | 232 | -46.7% |
| 15 | Bielski | 199 | +64.5% |
| 16 | Białostocki | 145 | -40.1% |
| 17 | Miasto Szczecin | 67 | +245.7% |
| 18 | Żyrardowski | 19 | |
| 19 | Tyski | -7 | +97.9% |
| 20 | Nowotarski | -172 | +58.2% |
| 21 | Tarnowski | -232 | +62.4% |
| 22 | Ełcki | -338 | +38% |
| 23 | Świecki | -350 | +7.9% |
| 24 | Częstochowski | -356 | +44.3% |
| 25 | Gorzowski | -358 | +20.6% |
| 26 | Tarnobrzeski | -431 | +75.2% |
| 27 | Leszczyński | -458 | -18.3% |
| 28 | Słupski | -487 | +55.8% |
| 29 | Płocki | -491 | +42.1% |
| 30 | Sieradzki | -516 | -3.2% |
| 31 | Krośnieński | -580 | +59.8% |
| 32 | Chojnicki | -634 | -5.1% |
| 33 | Nowosądecki | -660 | +8.5% |
| 34 | Skierniewicki | -661 | +24.6% |
| 35 | Piotrkowski | -664 | +38.6% |
| 36 | Ciechanowski | -682 | -4.8% |
| 37 | Nyski | -699 | +46.4% |
| 38 | Kaliski | -716 | +27.3% |
| 39 | Oświęcimski | -717 | +0.7% |
| 40 | Bytomski | -722 | +51.7% |
| 41 | Koszaliński | -776 | -222% |
| 42 | Inowrocławski | -782 | +25.4% |
| 43 | Starogardzki | -827 | +30.7% |
| 44 | Sandomiersko-jędrzejowski | -828 | +20.7% |
| 45 | Grudziądzki | -834 | +19.7% |
| 46 | Przemyski | -838 | +19.6% |
| 47 | Pilski | -888 | +18.2% |
| 48 | Suwalski | -898 | +18.4% |
| 49 | Zielonogórski | -927 | +26.3% |
| 50 | Legnicko-głogowski | -966 | -13% |
| 51 | Lubelski | -982 | -15.4% |
| 52 | Rybnicki | -1,000 | +47.9% |
| 53 | Koniński | -1,003 | +35.2% |
| 54 | Włocławski | -1,093 | +0.3% |
| 55 | Ostrołęcki | -1,094 | +5.1% |
| 56 | Bialski | -1,109 | +0.8% |
| 56 | Siedlecki | -1,109 | -101% |
| 58 | Sosnowiecki | -1,307 | +48% |
| 59 | Olsztyński | -1,323 | +28.8% |
| 60 | Kielecki | -1,391 | +11.9% |
| 61 | Opolski | -1,399 | +46.1% |
| 62 | Jeleniogórski | -1,476 | +29.2% |
| 63 | Łomżyński | -1,504 | +21.9% |
| 64 | Miasto Poznań | -1,550 | +42.4% |
| 65 | Radomski | -1,644 | -6.3% |
| 66 | Szczecinecko-pyrzycki | -1,688 | +3.4% |
| 67 | Puławski | -1,752 | +7.5% |
| 68 | Miasto Łódź | -1,766 | +5.7% |
| 69 | Gliwicki | -1,768 | -25.9% |
| 70 | Wałbrzyski | -1,803 | +37.5% |
| 71 | Elbląski | -1,922 | +0.5% |
| 72 | Chełmsko-zamojski | -1,981 | -4.8% |
| 73 | Katowicki | -2,400 | +28.3% |
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
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, 2014) [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, 2014. 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=2014. 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, 2014. 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=2014.
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, 2014 [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=2014 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2014,
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, 2014}},
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=2014. 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, 2014
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=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/poland-provinces?period=2014.
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 -
Use this data in your AI agent
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Rank NUTS 3 areas of Poland by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=province&within=Poland&limit=10Questions
Which area has the highest net migration including statistical adjustment?
Miasto Warszawa, with 10,003 in 2014, according to Eurostat, European Commission.
Which area has the lowest net migration including statistical adjustment?
Katowicki, with -2,400 in 2014.
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.
Net migration including statistical adjustment: other rankings
- NUTS 3 areas of Slovenia
- NUTS 3 areas of Greece
- NUTS 3 areas of Estonia
- Regions of Belgium (NUTS 2)
- EU countries
- Regions of Italy (NUTS 2)