Data / Rankings / Population aged 65 and over / NUTS 3 areas of Poland

NUTS 3 areas of Poland by share of population aged 65 and over

Miasto Łódź had the highest share of population aged 65 and over of 73 areas in 2018, at 22.4%. Gdański had the lowest, at 12.3%. The median was 16.5% and the figure for Poland was 17.1%. Source: Eurostat, European Commission.

Highest22.4Miasto Łódź
Lowest12.3Gdański
Median16.573 areas
Poland17.1History

Top 40 areas, 2018

CSVChart (SVG)

Miasto ŁódźMiasto Łódź: 22.4 %22.4TrójmiejskiTrójmiejski: 20.4 %20.4Miasto SzczecinMiasto Szczecin: 20 %20Miasto WarszawaMiasto Warszawa: 19.9 %19.9Miasto PoznańMiasto Poznań: 19.8 %19.8Miasto WrocławMiasto Wrocław: 19.7 %19.7SosnowieckiSosnowiecki: 19.6 %19.6Miasto KrakówMiasto Kraków: 19.3 %19.3KatowickiKatowicki: 19.1 %19.1WałbrzyskiWałbrzyski: 19.1 %19.1CzęstochowskiCzęstochowski: 18.9 %18.9Sandomiersko-jędrzejowskiSandomiersko-jędrzejowski: 18.7 %18.7KieleckiKielecki: 18.5 %18.5ŁódzkiŁódzki: 18.4 %18.4GliwickiGliwicki: 18.3 %18.3BytomskiBytomski: 18.2 %18.2ŁomżyńskiŁomżyński: 18.2 %18.2OpolskiOpolski: 18.2 %18.2SkierniewickiSkierniewicki: 18.2 %18.2PuławskiPuławski: 18.1 %18.1Chełmsko-zamojskiChełmsko-zamojski: 17.9 %17.9JeleniogórskiJeleniogórski: 17.9 %17.9NyskiNyski: 17.8 %17.8Bydgosko-toruńskiBydgosko-toruński: 17.7 %17.7KoszalińskiKoszaliński: 17.4 %17.4LubelskiLubelski: 17.4 %17.4SieradzkiSieradzki: 17.4 %17.4BielskiBielski: 17.3 %17.3OświęcimskiOświęcimski: 17.2 %17.2PiotrkowskiPiotrkowski: 17.1 %17.1PłockiPłocki: 17.1 %17.1WłocławskiWłocławski: 17.1 %17.1Legnicko-głogowskiLegnicko-głogowski: 17 %17RybnickiRybnicki: 17 %17BiałostockiBiałostocki: 16.8 %16.8BialskiBialski: 16.5 %16.5KrośnieńskiKrośnieński: 16.5 %16.5RadomskiRadomski: 16.5 %16.5ZielonogórskiZielonogórski: 16.5 %16.5ŻyrardowskiŻyrardowski: 16.5 %16.5
%. Source: Eurostat. Retrieved 2026-10-08.

Full ranking

RankAreas2018 (%)Change on 2017
1Miasto Łódź22.4+0.8 pts
2Trójmiejski20.4+0.6 pts
3Miasto Szczecin20+0.8 pts
4Miasto Warszawa19.9+0.4 pts
5Miasto Poznań19.8+0.6 pts
6Miasto Wrocław19.7+0.6 pts
7Sosnowiecki19.6+0.8 pts
8Miasto Kraków19.3+0.5 pts
9Katowicki19.1+0.5 pts
9Wałbrzyski19.1+0.8 pts
11Częstochowski18.9+0.7 pts
12Sandomiersko-jędrzejowski18.7+0.6 pts
13Kielecki18.5+0.6 pts
14Łódzki18.4+0.6 pts
15Gliwicki18.3+0.6 pts
16Bytomski18.2+0.5 pts
16Łomżyński18.2+0.3 pts
16Opolski18.2+0.5 pts
16Skierniewicki18.2+0.5 pts
20Puławski18.1+0.6 pts
21Chełmsko-zamojski17.9+0.5 pts
21Jeleniogórski17.9+0.8 pts
23Nyski17.8+0.6 pts
24Bydgosko-toruński17.7+0.6 pts
25Koszaliński17.4+0.7 pts
25Lubelski17.4+0.6 pts
25Sieradzki17.4+0.4 pts
28Bielski17.3+0.6 pts
29Oświęcimski17.2+0.5 pts
30Piotrkowski17.1+0.6 pts
30Płocki17.1+0.6 pts
30Włocławski17.1+0.6 pts
33Legnicko-głogowski17+0.8 pts
33Rybnicki17+0.6 pts
35Białostocki16.8+0.4 pts
36Bialski16.5+0.5 pts
36Krośnieński16.5+0.5 pts
36Radomski16.5+0.5 pts
36Zielonogórski16.5+0.7 pts
36Żyrardowski16.5+0.4 pts
41Siedlecki16.4+0.5 pts
42Kaliski16.3+0.5 pts
42Suwalski16.3+0.4 pts
42Szczecinecko-pyrzycki16.3+0.7 pts
45Przemyski16.2+0.5 pts
45Tarnobrzeski16.2+0.6 pts
47Gorzowski16.1+0.7 pts
47Tarnowski16.1+0.4 pts
49Ciechanowski16+0.5 pts
49Inowrocławski16+0.6 pts
51Koniński15.9+0.6 pts
52Grudziądzki15.7+0.5 pts
52Olsztyński15.7+0.6 pts
52Słupski15.7+0.7 pts
55Rzeszowski15.6+0.4 pts
55Warszawski zachodni15.6+0.5 pts
57Elbląski15.5+0.7 pts
57Szczeciński15.5+0.7 pts
59Ostrołęcki15.3+0.4 pts
60Ełcki15.2+0.6 pts
60Nowotarski15.2+0.5 pts
60Tyski15.2+0.6 pts
63Pilski15.1+0.7 pts
63Wrocławski15.1+0.6 pts
65Świecki15+0.6 pts
66Leszczyński14.9+0.5 pts
67Krakowski14.8+0.4 pts
67Warszawski wschodni14.8+0.4 pts
69Starogardzki14.4+0.6 pts
70Chojnicki14.3+0.6 pts
71Nowosądecki14+0.4 pts
72Poznański13.2+0.5 pts
73Gdański12.3+0.4 pts

Other periods

About this ranking

Residents aged 65 or over as a percentage of total population. Spain: 1 January, INE annual census. United States: 1 July, Census Bureau population estimates. 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 3 region (demo_r_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Retrieved 2026-10-08.

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 share of population aged 65 and over using official data, and cite the source.
rank_places {"indicator":"population_65_plus_share","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_65_plus_share&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 share of population aged 65 and over?

Miasto Łódź, with 22.4% in 2018, according to Eurostat, European Commission.

Which area has the lowest share of population aged 65 and over?

Gdański, with 12.3% 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 structure indicators by NUTS 3 region (demo_r_pjanind3). Retrieved 2026-10-08.

Population aged 65 and over: other rankings

NUTS 3 areas of Poland: more rankings