NUTS 3 areas of Poland by population aged 0 to 14

Gdański had the highest population aged 0 to 14 of 73 areas in 2023, at 19.8%. Miasto Łódź had the lowest, at 12.5%. The median was 15.2% and the figure for Poland was 15.4%. Source: Eurostat, European Commission.

Highest19.8Gdański

Lowest12.5Miasto Łódź

Median15.273 areas

Poland15.4History

Top 40 areas, 2023

%. 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

Rank	Areas	2023 (%)	Change on 2022
1	Gdański Estimated	19.8	-0.2 pts
2	Poznański Estimated	18.9	-0.2 pts
3	Nowosądecki Estimated	18.7	-0.1 pts
4	Warszawski wschodni Estimated	18.5	-0.3 pts
5	Warszawski zachodni Estimated	18.1	-0.1 pts
6	Krakowski Estimated	18	-0.2 pts
7	Chojnicki Estimated	17.7	-0.2 pts
8	Wrocławski Estimated	17.5	-0.1 pts
9	Leszczyński Estimated	17.3	-0.2 pts
10	Nowotarski Estimated	17.2	-0.2 pts
10	Rzeszowski Estimated	17.2	-0.1 pts
12	Siedlecki Estimated	17.1	-0.1 pts
13	Tyski Estimated	16.7	-0.2 pts
14	Ostrołęcki Estimated	16.6	-0.2 pts
14	Starogardzki Estimated	16.6	-0.3 pts
16	Świecki Estimated	16.4	-0.3 pts
17	Żyrardowski Estimated	16.2	-0.1 pts
18	Bielski Estimated	16	-0.1 pts
18	Kaliski Estimated	16	-0.2 pts
18	Pilski Estimated	16	-0.3 pts
18	Tarnowski Estimated	16	-0.1 pts
22	Grudziądzki Estimated	15.9	-0.2 pts
22	Słupski Estimated	15.9	-0.2 pts
24	Białostocki Estimated	15.8	0 pts
24	Koniński Estimated	15.8	-0.3 pts
26	Ciechanowski Estimated	15.7	-0.1 pts
27	Lubelski Estimated	15.5	-0.1 pts
27	Rybnicki Estimated	15.5	-0.2 pts
29	Bialski Estimated	15.4	-0.3 pts
29	Elbląski Estimated	15.4	-0.2 pts
29	Ełcki Estimated	15.4	-0.2 pts
29	Radomski Estimated	15.4	-0.2 pts
29	Tarnobrzeski Estimated	15.4	-0.1 pts
34	Oświęcimski Estimated	15.3	-0.2 pts
34	Suwalski Estimated	15.3	-0.2 pts
36	Inowrocławski Estimated	15.2	-0.2 pts
36	Krośnieński Estimated	15.2	-0.2 pts
36	Miasto Warszawa Estimated	15.2	0 pts
36	Piotrkowski Estimated	15.2	-0.3 pts
40	Przemyski Estimated	15.1	-0.2 pts
41	Gorzowski Estimated	15	-0.3 pts
41	Łódzki Estimated	15	-0.2 pts
41	Puławski Estimated	15	-0.2 pts
41	Sieradzki Estimated	15	-0.2 pts
41	Zielonogórski Estimated	15	-0.2 pts
46	Bydgosko-toruński Estimated	14.9	-0.1 pts
46	Legnicko-głogowski Estimated	14.9	-0.2 pts
46	Łomżyński Estimated	14.9	-0.1 pts
46	Olsztyński Estimated	14.9	-0.2 pts
46	Szczeciński Estimated	14.9	-0.2 pts
51	Płocki Estimated	14.8	-0.2 pts
51	Skierniewicki Estimated	14.8	-0.1 pts
53	Bytomski Estimated	14.7	-0.1 pts
54	Szczecinecko-pyrzycki Estimated	14.4	-0.3 pts
55	Gliwicki Estimated	14.3	-0.1 pts
55	Opolski Estimated	14.3	+0.1 pts
55	Włocławski Estimated	14.3	-0.2 pts
58	Koszaliński Estimated	14.2	-0.2 pts
58	Miasto Kraków Estimated	14.2	+0.1 pts
60	Kielecki Estimated	14.1	-0.1 pts
61	Nyski Estimated	14	-0.1 pts
61	Trójmiejski Estimated	14	0 pts
63	Miasto Wrocław Estimated	13.9	+0.1 pts
63	Sandomiersko-jędrzejowski Estimated	13.9	-0.2 pts
65	Chełmsko-zamojski Estimated	13.8	-0.2 pts
65	Katowicki Estimated	13.8	-0.1 pts
67	Częstochowski Estimated	13.6	-0.1 pts
68	Miasto Poznań Estimated	13.4	0 pts
68	Miasto Szczecin Estimated	13.4	0 pts
70	Jeleniogórski Estimated	13.3	-0.2 pts
71	Sosnowiecki Estimated	13.1	-0.2 pts
72	Wałbrzyski Estimated	12.8	-0.1 pts
73	Miasto Łódź Estimated	12.5	+0.1 pts

Other periods

About this ranking

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

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, 2023) [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, 2023. 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=2023. 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, 2023. 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=2023.

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, 2023 [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=2023 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2023,
  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, 2023}},
  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=2023. 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, 2023
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=2023
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/poland-provinces?period=2023.
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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rank_places {"indicator":"population_0_14_share","level":"province","within":"Poland","limit":10}
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Questions

Which area has the highest population aged 0 to 14?

Gdański, with 19.8% in 2023, according to Eurostat, European Commission.

Which area has the lowest population aged 0 to 14?

Miasto Łódź, with 12.5% in 2023.

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.