NUTS 3 areas of Poland by population aged 0 to 14

Gdański had the highest population aged 0 to 14 of 73 areas in 2020, at 19.9%. Miasto Łódź had the lowest, at 12.8%. The median was 15.2% and the figure for Poland was 15.4%. Source: Eurostat, European Commission.

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Highest19.9Gdański
Lowest12.8Miasto Łódź
Median15.273 areas
Poland15.4History

Top 40 areas, 2020

Gdański: 19.9 %Gdański19.9Poznański: 18.9 %Poznański18.9Warszawski wschodni: 18.4 %Warszawski wschodni18.4Nowosądecki: 18.2 %Nowosądecki18.2Chojnicki: 17.9 %Chojnicki17.9Warszawski zachodni: 17.9 %Warszawski zachodni17.9Leszczyński: 17.3 %Leszczyński17.3Krakowski: 17.2 %Krakowski17.2Nowotarski: 16.9 %Nowotarski16.9Starogardzki: 16.9 %Starogardzki16.9Siedlecki: 16.8 %Siedlecki16.8Wrocławski: 16.8 %Wrocławski16.8Tyski: 16.7 %Tyski16.7Świecki: 16.5 %Świecki16.5Ostrołęcki: 16.4 %Ostrołęcki16.4Rzeszowski: 16.4 %Rzeszowski16.4Żyrardowski: 16.3 %Żyrardowski16.3Pilski: 16.2 %Pilski16.2Grudziądzki: 16.1 %Grudziądzki16.1Miasto Warszawa: 16.1 %Miasto Warszawa16.1Słupski: 16.1 %Słupski16.1Bielski: 15.9 %Bielski15.9Kaliski: 15.9 %Kaliski15.9Koniński: 15.9 %Koniński15.9Ełcki: 15.8 %Ełcki15.8Ciechanowski: 15.6 %Ciechanowski15.6Elbląski: 15.6 %Elbląski15.6Gorzowski: 15.6 %Gorzowski15.6Bialski: 15.5 %Bialski15.5Rybnicki: 15.5 %Rybnicki15.5Tarnowski: 15.5 %Tarnowski15.5Lubelski: 15.3 %Lubelski15.3Piotrkowski: 15.3 %Piotrkowski15.3Radomski: 15.3 %Radomski15.3Białostocki: 15.2 %Białostocki15.2Legnicko-głogowski: 15.2 %Legnicko-głogowski15.2Szczeciński: 15.2 %Szczeciński15.2Zielonogórski: 15.2 %Zielonogórski15.2Inowrocławski: 15.1 %Inowrocławski15.1Olsztyński: 15.1 %Olsztyński15.1Gdański: 19.9 %Gdański19.9Poznański: 18.9 %Poznański18.9Warszawski wschodni: 18.4 %Warszawski wschodni18.4Nowosądecki: 18.2 %Nowosądecki18.2Chojnicki: 17.9 %Chojnicki17.9Warszawski zachodni: 17.9 %Warszawski zachodni17.9Leszczyński: 17.3 %Leszczyński17.3Krakowski: 17.2 %Krakowski17.2Nowotarski: 16.9 %Nowotarski16.9Starogardzki: 16.9 %Starogardzki16.9Siedlecki: 16.8 %Siedlecki16.8Wrocławski: 16.8 %Wrocławski16.8Tyski: 16.7 %Tyski16.7Świecki: 16.5 %Świecki16.5Ostrołęcki: 16.4 %Ostrołęcki16.4Rzeszowski: 16.4 %Rzeszowski16.4Żyrardowski: 16.3 %Żyrardowski16.3Pilski: 16.2 %Pilski16.2Grudziądzki: 16.1 %Grudziądzki16.1Miasto Warszawa: 16.1 %Miasto Warszawa16.1Słupski: 16.1 %Słupski16.1Bielski: 15.9 %Bielski15.9Kaliski: 15.9 %Kaliski15.9Koniński: 15.9 %Koniński15.9Ełcki: 15.8 %Ełcki15.8Ciechanowski: 15.6 %Ciechanowski15.6Elbląski: 15.6 %Elbląski15.6Gorzowski: 15.6 %Gorzowski15.6Bialski: 15.5 %Bialski15.5Rybnicki: 15.5 %Rybnicki15.5Tarnowski: 15.5 %Tarnowski15.5Lubelski: 15.3 %Lubelski15.3Piotrkowski: 15.3 %Piotrkowski15.3Radomski: 15.3 %Radomski15.3Białostocki: 15.2 %Białostocki15.2Legnicko-głogowski: 15.2 %Legnicko-głogowski15.2Szczeciński: 15.2 %Szczeciński15.2Zielonogórski: 15.2 %Zielonogórski15.2Inowrocławski: 15.1 %Inowrocławski15.1Olsztyński: 15.1 %Olsztyński15.1
%. Source: Eurostat, Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). Retrieved 2026-10-12.

Full ranking

RankAreas2020 (%)Change on 2019
1Gdański19.9+0.1 pts
2Poznański18.9+0.1 pts
3Warszawski wschodni18.4+0.2 pts
4Nowosądecki18.2+0.1 pts
5Chojnicki17.9+0.1 pts
5Warszawski zachodni17.9+0.1 pts
7Leszczyński17.3+0.1 pts
8Krakowski17.2+0.1 pts
9Nowotarski16.90 pts
9Starogardzki16.90 pts
11Siedlecki16.8+0.1 pts
11Wrocławski16.8+0.2 pts
13Tyski16.7+0.1 pts
14Świecki16.5+0.1 pts
15Ostrołęcki16.40 pts
15Rzeszowski16.4+0.2 pts
17Żyrardowski16.3+0.1 pts
18Pilski16.2-0.1 pts
19Grudziądzki16.10 pts
19Miasto Warszawa16.1+0.3 pts
19Słupski16.1+0.1 pts
22Bielski15.9+0.1 pts
22Kaliski15.90 pts
22Koniński15.90 pts
25Ełcki15.80 pts
26Ciechanowski15.6+0.1 pts
26Elbląski15.6-0.1 pts
26Gorzowski15.60 pts
29Bialski15.50 pts
29Rybnicki15.5+0.1 pts
29Tarnowski15.50 pts
32Lubelski15.3+0.1 pts
32Piotrkowski15.30 pts
32Radomski15.30 pts
35Białostocki15.2+0.2 pts
35Legnicko-głogowski15.2+0.1 pts
35Szczeciński15.20 pts
35Zielonogórski15.20 pts
39Inowrocławski15.10 pts
39Olsztyński15.10 pts
39Oświęcimski15.1+0.1 pts
42Krośnieński150 pts
42Miasto Kraków15+0.3 pts
42Płocki15+0.1 pts
42Suwalski150 pts
46Bydgosko-toruński14.9+0.1 pts
46Łódzki14.9+0.1 pts
46Miasto Wrocław14.9+0.4 pts
46Puławski14.90 pts
46Sieradzki14.90 pts
46Tarnobrzeski14.90 pts
52Przemyski14.8-0.1 pts
52Skierniewicki14.80 pts
52Szczecinecko-pyrzycki14.8-0.2 pts
52Trójmiejski14.8+0.3 pts
56Miasto Poznań14.7+0.2 pts
57Koszaliński14.60 pts
58Łomżyński14.5+0.1 pts
59Bytomski14.4+0.2 pts
59Włocławski14.4-0.1 pts
61Gliwicki14.3+0.1 pts
62Katowicki14.1+0.2 pts
63Opolski14+0.2 pts
64Kielecki13.9+0.1 pts
65Chełmsko-zamojski13.80 pts
65Nyski13.80 pts
65Sandomiersko-jędrzejowski13.80 pts
68Miasto Szczecin13.7+0.2 pts
69Częstochowski13.6+0.1 pts
69Jeleniogórski13.6-0.1 pts
71Sosnowiecki13.20 pts
71Wałbrzyski13.2+0.1 pts
73Miasto Łódź12.8+0.1 pts

Other periods

About this ranking

Residents aged 0 to 14 as a percentage of total population.

More on how it is measured
  • Eurostat figures for the EU, its countries and NUTS regions refer to 1 January; Statistics Finland figures for Finnish municipalities refer to 31 December; World Bank figures for other countries and the World refer to mid-year.

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 structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/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 structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3) (NUTS 3 areas of Poland by population aged 0 to 14, 2020) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table

MLA 9

Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3), NUTS 3 areas of Poland by population aged 0 to 14, 2020. Eurostat, European Commission, 10 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). NUTS 3 areas of Poland by population aged 0 to 14, 2020. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020.

Harvard

Eurostat, European Commission (2026) Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3), NUTS 3 areas of Poland by population aged 0 to 14, 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table, via Invokely: https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2020,
  author = {{Eurostat, European Commission}},
  title = {{Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo\_r\_pjanind3): NUTS 3 areas of Poland by population aged 0 to 14, 2020}},
  year = {2026},
  howpublished = {Data set},
  url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020. Publisher attribution: Eurostat. Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo\_r\_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo\_r\_pjanind3/default/table. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - Eurostat, European Commission
TI  - Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3): NUTS 3 areas of Poland by population aged 0 to 14, 2020
PY  - 2026
DA  - 2026/07/10
PB  - Eurostat, European Commission
DB  - Invokely
UR  - https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table
L2  - https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2020.
N1  - Publisher attribution: Eurostat. Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Retrieved 2026-10-12.
ER  - 
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Questions

Which area has the highest population aged 0 to 14?

Gdański, with 19.9% in 2020, according to Eurostat, European Commission.

Which area has the lowest population aged 0 to 14?

Miasto Łódź, with 12.8% 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 structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). Retrieved 2026-10-12.

Population aged 0 to 14: other rankings

NUTS 3 areas of Poland: more rankings