NUTS 3 areas of Poland by population aged 0 to 14

Gdański had the highest population aged 0 to 14 of 73 areas in 2019, at 19.8%. Miasto Łódź had the lowest, at 12.7%. The median was 15.1% and the figure for Poland was 15.4%. Source: Eurostat, European Commission.

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Highest19.8Gdański
Lowest12.7Miasto Łódź
Median15.173 areas
Poland15.4History

Top 40 areas, 2019

Gdański: 19.8 %Gdański19.8Poznański: 18.8 %Poznański18.8Warszawski wschodni: 18.2 %Warszawski wschodni18.2Nowosądecki: 18.1 %Nowosądecki18.1Chojnicki: 17.8 %Chojnicki17.8Warszawski zachodni: 17.8 %Warszawski zachodni17.8Leszczyński: 17.2 %Leszczyński17.2Krakowski: 17.1 %Krakowski17.1Nowotarski: 16.9 %Nowotarski16.9Starogardzki: 16.9 %Starogardzki16.9Siedlecki: 16.7 %Siedlecki16.7Tyski: 16.6 %Tyski16.6Wrocławski: 16.6 %Wrocławski16.6Ostrołęcki: 16.4 %Ostrołęcki16.4Świecki: 16.4 %Świecki16.4Pilski: 16.3 %Pilski16.3Rzeszowski: 16.2 %Rzeszowski16.2Żyrardowski: 16.2 %Żyrardowski16.2Grudziądzki: 16.1 %Grudziądzki16.1Słupski: 16 %Słupski16Kaliski: 15.9 %Kaliski15.9Koniński: 15.9 %Koniński15.9Bielski: 15.8 %Bielski15.8Ełcki: 15.8 %Ełcki15.8Miasto Warszawa: 15.8 %Miasto Warszawa15.8Elbląski: 15.7 %Elbląski15.7Gorzowski: 15.6 %Gorzowski15.6Bialski: 15.5 %Bialski15.5Ciechanowski: 15.5 %Ciechanowski15.5Tarnowski: 15.5 %Tarnowski15.5Rybnicki: 15.4 %Rybnicki15.4Piotrkowski: 15.3 %Piotrkowski15.3Radomski: 15.3 %Radomski15.3Lubelski: 15.2 %Lubelski15.2Szczeciński: 15.2 %Szczeciński15.2Zielonogórski: 15.2 %Zielonogórski15.2Inowrocławski: 15.1 %Inowrocławski15.1Legnicko-głogowski: 15.1 %Legnicko-głogowski15.1Olsztyński: 15.1 %Olsztyński15.1Białostocki: 15 %Białostocki15Gdański: 19.8 %Gdański19.8Poznański: 18.8 %Poznański18.8Warszawski wschodni: 18.2 %Warszawski wschodni18.2Nowosądecki: 18.1 %Nowosądecki18.1Chojnicki: 17.8 %Chojnicki17.8Warszawski zachodni: 17.8 %Warszawski zachodni17.8Leszczyński: 17.2 %Leszczyński17.2Krakowski: 17.1 %Krakowski17.1Nowotarski: 16.9 %Nowotarski16.9Starogardzki: 16.9 %Starogardzki16.9Siedlecki: 16.7 %Siedlecki16.7Tyski: 16.6 %Tyski16.6Wrocławski: 16.6 %Wrocławski16.6Ostrołęcki: 16.4 %Ostrołęcki16.4Świecki: 16.4 %Świecki16.4Pilski: 16.3 %Pilski16.3Rzeszowski: 16.2 %Rzeszowski16.2Żyrardowski: 16.2 %Żyrardowski16.2Grudziądzki: 16.1 %Grudziądzki16.1Słupski: 16 %Słupski16Kaliski: 15.9 %Kaliski15.9Koniński: 15.9 %Koniński15.9Bielski: 15.8 %Bielski15.8Ełcki: 15.8 %Ełcki15.8Miasto Warszawa: 15.8 %Miasto Warszawa15.8Elbląski: 15.7 %Elbląski15.7Gorzowski: 15.6 %Gorzowski15.6Bialski: 15.5 %Bialski15.5Ciechanowski: 15.5 %Ciechanowski15.5Tarnowski: 15.5 %Tarnowski15.5Rybnicki: 15.4 %Rybnicki15.4Piotrkowski: 15.3 %Piotrkowski15.3Radomski: 15.3 %Radomski15.3Lubelski: 15.2 %Lubelski15.2Szczeciński: 15.2 %Szczeciński15.2Zielonogórski: 15.2 %Zielonogórski15.2Inowrocławski: 15.1 %Inowrocławski15.1Legnicko-głogowski: 15.1 %Legnicko-głogowski15.1Olsztyński: 15.1 %Olsztyński15.1Białostocki: 15 %Białostocki15
%. 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

RankAreas2019 (%)Change on 2018
1Gdański19.8+0.2 pts
2Poznański18.8+0.2 pts
3Warszawski wschodni18.2+0.1 pts
4Nowosądecki18.10 pts
5Chojnicki17.80 pts
5Warszawski zachodni17.8+0.2 pts
7Leszczyński17.2+0.2 pts
8Krakowski17.1+0.1 pts
9Nowotarski16.90 pts
9Starogardzki16.90 pts
11Siedlecki16.7+0.2 pts
12Tyski16.6+0.3 pts
12Wrocławski16.6+0.2 pts
14Ostrołęcki16.4+0.1 pts
14Świecki16.40 pts
16Pilski16.30 pts
17Rzeszowski16.2+0.1 pts
17Żyrardowski16.2+0.1 pts
19Grudziądzki16.10 pts
20Słupski16+0.1 pts
21Kaliski15.9+0.1 pts
21Koniński15.9+0.1 pts
23Bielski15.8+0.2 pts
23Ełcki15.80 pts
23Miasto Warszawa15.8+0.3 pts
26Elbląski15.7+0.1 pts
27Gorzowski15.60 pts
28Bialski15.5+0.1 pts
28Ciechanowski15.50 pts
28Tarnowski15.5+0.1 pts
31Rybnicki15.4+0.1 pts
32Piotrkowski15.3+0.1 pts
32Radomski15.3+0.1 pts
34Lubelski15.2+0.1 pts
34Szczeciński15.20 pts
34Zielonogórski15.20 pts
37Inowrocławski15.10 pts
37Legnicko-głogowski15.1+0.1 pts
37Olsztyński15.10 pts
40Białostocki15+0.3 pts
40Krośnieński150 pts
40Oświęcimski15+0.1 pts
40Suwalski150 pts
40Szczecinecko-pyrzycki150 pts
45Płocki14.90 pts
45Przemyski14.90 pts
45Puławski14.90 pts
45Sieradzki14.9+0.1 pts
45Tarnobrzeski14.90 pts
50Bydgosko-toruński14.8+0.1 pts
50Łódzki14.8+0.2 pts
50Skierniewicki14.8+0.2 pts
53Miasto Kraków14.7+0.3 pts
54Koszaliński14.6+0.1 pts
55Miasto Poznań14.5+0.2 pts
55Miasto Wrocław14.5+0.4 pts
55Trójmiejski14.5+0.2 pts
55Włocławski14.50 pts
59Łomżyński14.4+0.1 pts
60Bytomski14.2+0.1 pts
60Gliwicki14.2+0.2 pts
62Katowicki13.9+0.2 pts
63Chełmsko-zamojski13.8-0.1 pts
63Kielecki13.80 pts
63Nyski13.8+0.1 pts
63Opolski13.8+0.1 pts
63Sandomiersko-jędrzejowski13.8-0.1 pts
68Jeleniogórski13.7+0.1 pts
69Częstochowski13.50 pts
69Miasto Szczecin13.5+0.1 pts
71Sosnowiecki13.2+0.1 pts
72Wałbrzyski13.10 pts
73Miasto Łódź12.7+0.2 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, 2019) [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, 2019. 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=2019. 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, 2019. 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=2019.

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, 2019 [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=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
  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, 2019}},
  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=2019. 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, 2019
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=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2019.
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 19.8% in 2019, according to Eurostat, European Commission.

Which area has the lowest population aged 0 to 14?

Miasto Łódź, with 12.7% in 2019.

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