NUTS 3 areas of Poland by natural change rate
Gdański had the highest natural change rate of 73 areas in 2020, at 3.2 per 1,000 inhabitants. Wałbrzyski had the lowest, at -8.5 per 1,000 inhabitants. The median was -3.6 per 1,000 inhabitants and the figure for Poland was -3.3 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 areas, 2020
Full ranking
| Rank | Areas | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Gdański Series break | 3.2 | -2.2 pts |
| 2 | Poznański Series break | 2.3 | -1.4 pts |
| 3 | Nowosądecki Series break | 0.9 | -2.4 pts |
| 4 | Warszawski wschodni Series break | 0.1 | -1.9 pts |
| 5 | Miasto Kraków Series break | -0.1 | -2.1 pts |
| 5 | Rzeszowski Series break | -0.1 | -2.2 pts |
| 7 | Chojnicki Series break | -0.3 | -2.6 pts |
| 7 | Krakowski Series break | -0.3 | -1.7 pts |
| 9 | Leszczyński Series break | -0.5 | -1.9 pts |
| 10 | Warszawski zachodni Series break | -0.6 | -1.7 pts |
| 11 | Miasto Warszawa Series break | -0.8 | -2.1 pts |
| 11 | Nowotarski Series break | -0.8 | -2.4 pts |
| 13 | Miasto Wrocław Series break | -1 | -1.9 pts |
| 13 | Wrocławski Series break | -1 | -2.1 pts |
| 15 | Miasto Poznań Series break | -1.5 | -2.1 pts |
| 15 | Tyski Series break | -1.5 | -2.1 pts |
| 17 | Białostocki Series break | -1.6 | -2.1 pts |
| 18 | Starogardzki Series break | -1.7 | -2.2 pts |
| 19 | Trójmiejski Series break | -2.1 | -2 pts |
| 20 | Świecki Series break | -2.3 | -2.2 pts |
| 21 | Pilski Series break | -2.4 | -2.2 pts |
| 22 | Lubelski Series break | -2.5 | -2.6 pts |
| 22 | Słupski Series break | -2.5 | -1.9 pts |
| 22 | Tarnowski Series break | -2.5 | -2.5 pts |
| 25 | Siedlecki Series break | -2.7 | -3 pts |
| 25 | Tarnobrzeski Series break | -2.7 | -2.7 pts |
| 27 | Kaliski Series break | -2.8 | -2.4 pts |
| 28 | Koniński Series break | -2.9 | -2.9 pts |
| 28 | Ostrołęcki Series break | -2.9 | -2.8 pts |
| 30 | Bydgosko-toruński Series break | -3.1 | -2.2 pts |
| 30 | Olsztyński Series break | -3.1 | -1.6 pts |
| 32 | Krośnieński Series break | -3.2 | -2.3 pts |
| 33 | Bielski Series break | -3.3 | -2.5 pts |
| 33 | Ełcki Series break | -3.3 | -1.9 pts |
| 35 | Grudziądzki Series break | -3.4 | -2.5 pts |
| 36 | Rybnicki Series break | -3.5 | -2.4 pts |
| 37 | Szczeciński Series break | -3.6 | -2.2 pts |
| 38 | Elbląski Series break | -3.8 | -2.4 pts |
| 39 | Legnicko-głogowski Series break | -3.9 | -2.4 pts |
| 40 | Zielonogórski Series break | -4 | -1.9 pts |
| 40 | Żyrardowski Series break | -4 | -2.6 pts |
| 42 | Gorzowski Series break | -4.1 | -2.2 pts |
| 42 | Inowrocławski Series break | -4.1 | -2.4 pts |
| 42 | Przemyski Series break | -4.1 | -3.3 pts |
| 45 | Ciechanowski Series break | -4.2 | -2.7 pts |
| 46 | Gliwicki Series break | -4.3 | -2.1 pts |
| 46 | Oświęcimski Series break | -4.3 | -2.7 pts |
| 48 | Radomski Series break | -4.4 | -2.7 pts |
| 49 | Opolski Series break | -4.5 | -3 pts |
| 49 | Suwalski Series break | -4.5 | -3.4 pts |
| 51 | Koszaliński Series break | -4.6 | -2.7 pts |
| 52 | Bialski Series break | -4.7 | -2.9 pts |
| 52 | Miasto Szczecin Series break | -4.7 | -2 pts |
| 54 | Puławski Series break | -4.9 | -2.9 pts |
| 54 | Sieradzki Series break | -4.9 | -2.4 pts |
| 56 | Szczecinecko-pyrzycki Series break | -5.2 | -1.9 pts |
| 57 | Płocki Series break | -5.5 | -3.6 pts |
| 58 | Łomżyński Series break | -5.7 | -2.8 pts |
| 58 | Piotrkowski Series break | -5.7 | -3.1 pts |
| 58 | Włocławski Series break | -5.7 | -2.5 pts |
| 61 | Bytomski Series break | -5.8 | -3 pts |
| 62 | Łódzki Series break | -5.9 | -2.8 pts |
| 62 | Skierniewicki Series break | -5.9 | -2.4 pts |
| 64 | Katowicki Series break | -6 | -2.7 pts |
| 65 | Nyski Series break | -6.3 | -2.6 pts |
| 66 | Chełmsko-zamojski Series break | -6.5 | -2.8 pts |
| 66 | Kielecki Series break | -6.5 | -3.2 pts |
| 68 | Częstochowski Series break | -6.7 | -2.4 pts |
| 69 | Sandomiersko-jędrzejowski Series break | -6.8 | -2.9 pts |
| 70 | Jeleniogórski Series break | -6.9 | -2.2 pts |
| 71 | Sosnowiecki Series break | -7.7 | -2.5 pts |
| 72 | Miasto Łódź Series break | -7.8 | -2.2 pts |
| 73 | Wałbrzyski Series break | -8.5 | -2.6 pts |
Other periods
About this ranking
Live births minus deaths during the year per 1,000 average residents (Eurostat crude rate of natural change).
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 natural change of population, 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 natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Poland by natural change rate, 2020) [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 natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Poland by natural change rate, 2020. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/natural-change-rate/poland-provinces?period=2020. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). NUTS 3 areas of Poland by natural change rate, 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/natural-change-rate/poland-provinces?period=2020.
Harvard
Eurostat, European Commission (2026) Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Poland by natural change rate, 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/natural-change-rate/poland-provinces?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_nuts_3_areas_of_2020,
author = {{Eurostat, European Commission}},
title = {{Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Poland by natural change rate, 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/natural-change-rate/poland-provinces?period=2020. Publisher attribution: Eurostat. Population change, crude rate of natural change of population, 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 natural change of population, by NUTS 2 and 3 region (demo_r_gind3): NUTS 3 areas of Poland by natural change rate, 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/natural-change-rate/poland-provinces?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/poland-provinces?period=2020.
N1 - Publisher attribution: Eurostat. Population change, crude rate of natural change of population, 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 natural change rate using official data, and cite the source.
rank_places {"indicator":"natural_change_rate","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_rate&level=province&within=Poland&limit=10
Questions
Which area has the highest natural change rate?
Gdański, with 3.2 per 1,000 inhabitants in 2020, according to Eurostat, European Commission.
Which area has the lowest natural change rate?
Wałbrzyski, with -8.5 per 1,000 inhabitants 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, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.
Natural change rate: other rankings
- NUTS 3 areas of Latvia
- Provinces of Spain
- NUTS 3 areas of Belgium
- Regions of Hungary (NUTS 2)
- Regions of Denmark (NUTS 2)
- Regions of France (NUTS 2)