Data / Rankings / Natural change rate / NUTS 3 areas of Poland

NUTS 3 areas of Poland by natural change rate

Gdański had the highest natural change rate of 73 areas in 2018, at 5.6 per 1,000 inhabitants. Miasto Łódź had the lowest, at -5.6 per 1,000 inhabitants. The median was -1 per 1,000 inhabitants and the figure for Poland was -0.7 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest5.6Gdański
Lowest-5.6Miasto Łódź
Median-173 areas
Poland-0.7History

Top 40 areas, 2018

Gdański: 5.6 per 1,000 inhabitantsGdański5.6Nowosądecki: 4 per 1,000 inhabitantsNowosądecki4Poznański: 3.9 per 1,000 inhabitantsPoznański3.9Chojnicki: 2.8 per 1,000 inhabitantsChojnicki2.8Rzeszowski: 2.8 per 1,000 inhabitantsRzeszowski2.8Warszawski wschodni: 2.3 per 1,000 inhabitantsWarszawski wschodni2.3Leszczyński: 2.1 per 1,000 inhabitantsLeszczyński2.1Miasto Kraków: 2.1 per 1,000 inhabitantsMiasto Kraków2.1Krakowski: 2 per 1,000 inhabitantsKrakowski2Nowotarski: 1.5 per 1,000 inhabitantsNowotarski1.5Tyski: 1.2 per 1,000 inhabitantsTyski1.2Warszawski zachodni: 1.1 per 1,000 inhabitantsWarszawski zachodni1.1Wrocławski: 1.1 per 1,000 inhabitantsWrocławski1.1Tarnowski: 1 per 1,000 inhabitantsTarnowski1Miasto Warszawa: 0.9 per 1,000 inhabitantsMiasto Warszawa0.9Miasto Wrocław: 0.8 per 1,000 inhabitantsMiasto Wrocław0.8Siedlecki: 0.8 per 1,000 inhabitantsSiedlecki0.8Starogardzki: 0.8 per 1,000 inhabitantsStarogardzki0.8Miasto Poznań: 0.7 per 1,000 inhabitantsMiasto Poznań0.7Słupski: 0.6 per 1,000 inhabitantsSłupski0.6Białostocki: 0.5 per 1,000 inhabitantsBiałostocki0.5Ostrołęcki: 0.5 per 1,000 inhabitantsOstrołęcki0.5Świecki: 0.3 per 1,000 inhabitantsŚwiecki0.3Tarnobrzeski: 0.3 per 1,000 inhabitantsTarnobrzeski0.3Krośnieński: 0.2 per 1,000 inhabitantsKrośnieński0.2Pilski: 0 per 1,000 inhabitantsPilski0Lubelski: -0.1 per 1,000 inhabitantsLubelski-0.1Koniński: -0.3 per 1,000 inhabitantsKoniński-0.3Bielski: -0.4 per 1,000 inhabitantsBielski-0.4Kaliski: -0.4 per 1,000 inhabitantsKaliski-0.4Trójmiejski: -0.4 per 1,000 inhabitantsTrójmiejski-0.4Przemyski: -0.5 per 1,000 inhabitantsPrzemyski-0.5Rybnicki: -0.6 per 1,000 inhabitantsRybnicki-0.6Olsztyński: -0.7 per 1,000 inhabitantsOlsztyński-0.7Bydgosko-toruński: -0.8 per 1,000 inhabitantsBydgosko-toruński-0.8Ełcki: -0.9 per 1,000 inhabitantsEłcki-0.9Grudziądzki: -1 per 1,000 inhabitantsGrudziądzki-1Suwalski: -1 per 1,000 inhabitantsSuwalski-1Szczeciński: -1.1 per 1,000 inhabitantsSzczeciński-1.1Żyrardowski: -1.1 per 1,000 inhabitantsŻyrardowski-1.1Gdański: 5.6 per 1,000 inhabitantsGdański5.6Nowosądecki: 4 per 1,000 inhabitantsNowosądecki4Poznański: 3.9 per 1,000 inhabitantsPoznański3.9Chojnicki: 2.8 per 1,000 inhabitantsChojnicki2.8Rzeszowski: 2.8 per 1,000 inhabitantsRzeszowski2.8Warszawski wschodni: 2.3 per 1,000 inhabitantsWarszawski wschodni2.3Leszczyński: 2.1 per 1,000 inhabitantsLeszczyński2.1Miasto Kraków: 2.1 per 1,000 inhabitantsMiasto Kraków2.1Krakowski: 2 per 1,000 inhabitantsKrakowski2Nowotarski: 1.5 per 1,000 inhabitantsNowotarski1.5Tyski: 1.2 per 1,000 inhabitantsTyski1.2Warszawski zachodni: 1.1 per 1,000 inhabitantsWarszawski zachodni1.1Wrocławski: 1.1 per 1,000 inhabitantsWrocławski1.1Tarnowski: 1 per 1,000 inhabitantsTarnowski1Miasto Warszawa: 0.9 per 1,000 inhabitantsMiasto Warszawa0.9Miasto Wrocław: 0.8 per 1,000 inhabitantsMiasto Wrocław0.8Siedlecki: 0.8 per 1,000 inhabitantsSiedlecki0.8Starogardzki: 0.8 per 1,000 inhabitantsStarogardzki0.8Miasto Poznań: 0.7 per 1,000 inhabitantsMiasto Poznań0.7Słupski: 0.6 per 1,000 inhabitantsSłupski0.6Białostocki: 0.5 per 1,000 inhabitantsBiałostocki0.5Ostrołęcki: 0.5 per 1,000 inhabitantsOstrołęcki0.5Świecki: 0.3 per 1,000 inhabitantsŚwiecki0.3Tarnobrzeski: 0.3 per 1,000 inhabitantsTarnobrzeski0.3Krośnieński: 0.2 per 1,000 inhabitantsKrośnieński0.2Pilski: 0 per 1,000 inhabitantsPilski0Lubelski: -0.1 per 1,000 inhabitantsLubelski-0.1Koniński: -0.3 per 1,000 inhabitantsKoniński-0.3Bielski: -0.4 per 1,000 inhabitantsBielski-0.4Kaliski: -0.4 per 1,000 inhabitantsKaliski-0.4Trójmiejski: -0.4 per 1,000 inhabitantsTrójmiejski-0.4Przemyski: -0.5 per 1,000 inhabitantsPrzemyski-0.5Rybnicki: -0.6 per 1,000 inhabitantsRybnicki-0.6Olsztyński: -0.7 per 1,000 inhabitantsOlsztyński-0.7Bydgosko-toruński: -0.8 per 1,000 inhabitantsBydgosko-toruński-0.8Ełcki: -0.9 per 1,000 inhabitantsEłcki-0.9Grudziądzki: -1 per 1,000 inhabitantsGrudziądzki-1Suwalski: -1 per 1,000 inhabitantsSuwalski-1Szczeciński: -1.1 per 1,000 inhabitantsSzczeciński-1.1Żyrardowski: -1.1 per 1,000 inhabitantsŻyrardowski-1.1
per 1,000 inhabitants. Source: Eurostat, Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankAreas2018
per 1,000 inhabitants		Change on 2017
1Gdański5.6-1.3 pts
2Nowosądecki4-0.2 pts
3Poznański3.9-1.4 pts
4Chojnicki2.8-0.9 pts
4Rzeszowski2.80 pts
6Warszawski wschodni2.3-0.1 pts
7Leszczyński2.1-0.6 pts
7Miasto Kraków2.1+0.1 pts
9Krakowski20 pts
10Nowotarski1.5-1.1 pts
11Tyski1.2-0.8 pts
12Warszawski zachodni1.1-0.9 pts
12Wrocławski1.1-0.5 pts
14Tarnowski1-0.2 pts
15Miasto Warszawa0.9-0.4 pts
16Miasto Wrocław0.8+0.3 pts
16Siedlecki0.8-0.4 pts
16Starogardzki0.8-0.9 pts
19Miasto Poznań0.7-0.8 pts
20Słupski0.6-0.4 pts
21Białostocki0.5-0.6 pts
21Ostrołęcki0.5-0.5 pts
23Świecki0.3-0.5 pts
23Tarnobrzeski0.3-0.7 pts
25Krośnieński0.2-0.3 pts
26Pilski0-1.2 pts
27Lubelski-0.1-0.3 pts
28Koniński-0.3-1.1 pts
29Bielski-0.4-0.5 pts
29Kaliski-0.4-1.1 pts
29Trójmiejski-0.4-0.5 pts
32Przemyski-0.5-0.5 pts
33Rybnicki-0.6-1.3 pts
34Olsztyński-0.7-0.9 pts
35Bydgosko-toruński-0.8-1 pts
36Ełcki-0.9-0.9 pts
37Grudziądzki-1-1.5 pts
37Suwalski-1-0.8 pts
39Szczeciński-1.1-1 pts
39Żyrardowski-1.1-0.8 pts
41Elbląski-1.2-1.1 pts
41Legnicko-głogowski-1.2-0.8 pts
43Koszaliński-1.3-0.8 pts
43Oświęcimski-1.3-0.8 pts
45Zielonogórski-1.4-1.3 pts
46Ciechanowski-1.5-0.5 pts
46Radomski-1.5-0.8 pts
48Bialski-1.6-1 pts
48Gorzowski-1.6-1.7 pts
50Gliwicki-1.7-0.8 pts
50Opolski-1.7-0.6 pts
52Inowrocławski-1.8-1.7 pts
53Puławski-2-0.8 pts
54Piotrkowski-2.2-0.6 pts
55Sieradzki-2.4-0.6 pts
56Katowicki-2.5-0.3 pts
56Szczecinecko-pyrzycki-2.5-1 pts
58Kielecki-2.6-0.4 pts
58Płocki-2.6-1.4 pts
60Miasto Szczecin-2.7-1 pts
61Bytomski-2.9-1.1 pts
62Łódzki-3.1-0.5 pts
62Łomżyński-3.1-0.5 pts
62Nyski-3.1+0.1 pts
65Włocławski-3.3-1.1 pts
66Chełmsko-zamojski-3.4-0.3 pts
66Skierniewicki-3.4-0.9 pts
68Sandomiersko-jędrzejowski-4-0.4 pts
69Częstochowski-4.4-0.6 pts
69Jeleniogórski-4.4-1.1 pts
71Sosnowiecki-4.8-0.4 pts
72Wałbrzyski-5.3-0.9 pts
73Miasto Łódź-5.6-0.1 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

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 natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Poland by natural change rate, 2018) [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, 2018. 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=2018. 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, 2018. 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=2018.

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, 2018 [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=2018 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2018,
  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, 2018}},
  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=2018. 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, 2018
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=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/poland-provinces?period=2018.
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  -
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 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

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

Questions

Which area has the highest natural change rate?

Gdański, with 5.6 per 1,000 inhabitants in 2018, according to Eurostat, European Commission.

Which area has the lowest natural change rate?

Miasto Łódź, with -5.6 per 1,000 inhabitants in 2018.

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 Poland: more rankings