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 2017, at 21.6%. Gdański had the lowest, at 11.9%. The median was 16% and the figure for Poland was 16.5%. Source: Eurostat, European Commission.

Highest21.6Miasto Łódź
Lowest11.9Gdański
Median1673 areas
Poland16.5History

Top 40 areas, 2017

CSVChart (SVG)

Miasto ŁódźMiasto Łódź: 21.6 %21.6TrójmiejskiTrójmiejski: 19.8 %19.8Miasto WarszawaMiasto Warszawa: 19.5 %19.5Miasto PoznańMiasto Poznań: 19.2 %19.2Miasto SzczecinMiasto Szczecin: 19.2 %19.2Miasto WrocławMiasto Wrocław: 19.1 %19.1Miasto KrakówMiasto Kraków: 18.8 %18.8SosnowieckiSosnowiecki: 18.8 %18.8KatowickiKatowicki: 18.6 %18.6WałbrzyskiWałbrzyski: 18.3 %18.3CzęstochowskiCzęstochowski: 18.2 %18.2Sandomiersko-jędrzejowskiSandomiersko-jędrzejowski: 18.1 %18.1KieleckiKielecki: 17.9 %17.9ŁomżyńskiŁomżyński: 17.9 %17.9ŁódzkiŁódzki: 17.8 %17.8BytomskiBytomski: 17.7 %17.7GliwickiGliwicki: 17.7 %17.7OpolskiOpolski: 17.7 %17.7SkierniewickiSkierniewicki: 17.7 %17.7PuławskiPuławski: 17.5 %17.5Chełmsko-zamojskiChełmsko-zamojski: 17.4 %17.4NyskiNyski: 17.2 %17.2Bydgosko-toruńskiBydgosko-toruński: 17.1 %17.1JeleniogórskiJeleniogórski: 17.1 %17.1SieradzkiSieradzki: 17 %17LubelskiLubelski: 16.8 %16.8BielskiBielski: 16.7 %16.7KoszalińskiKoszaliński: 16.7 %16.7OświęcimskiOświęcimski: 16.7 %16.7PiotrkowskiPiotrkowski: 16.5 %16.5PłockiPłocki: 16.5 %16.5WłocławskiWłocławski: 16.5 %16.5BiałostockiBiałostocki: 16.4 %16.4RybnickiRybnicki: 16.4 %16.4Legnicko-głogowskiLegnicko-głogowski: 16.2 %16.2ŻyrardowskiŻyrardowski: 16.1 %16.1BialskiBialski: 16 %16KrośnieńskiKrośnieński: 16 %16RadomskiRadomski: 16 %16SiedleckiSiedlecki: 15.9 %15.9
%. Source: Eurostat. Retrieved 2026-10-08.

Full ranking

RankAreas2017 (%)Change on 2016
1Miasto Łódź21.6+0.8 pts
2Trójmiejski19.8+0.7 pts
3Miasto Warszawa19.5+0.5 pts
4Miasto Poznań19.2+0.7 pts
4Miasto Szczecin19.2+0.9 pts
6Miasto Wrocław19.1+0.6 pts
7Miasto Kraków18.8+0.5 pts
7Sosnowiecki18.8+0.8 pts
9Katowicki18.6+0.7 pts
10Wałbrzyski18.3+0.9 pts
11Częstochowski18.2+0.7 pts
12Sandomiersko-jędrzejowski18.1+0.6 pts
13Kielecki17.9+0.7 pts
13Łomżyński17.9+0.4 pts
15Łódzki17.8+0.6 pts
16Bytomski17.7+0.6 pts
16Gliwicki17.7+0.7 pts
16Opolski17.7+0.5 pts
16Skierniewicki17.7+0.6 pts
20Puławski17.5+0.5 pts
21Chełmsko-zamojski17.4+0.5 pts
22Nyski17.2+0.6 pts
23Bydgosko-toruński17.1+0.7 pts
23Jeleniogórski17.1+0.9 pts
25Sieradzki17+0.6 pts
26Lubelski16.8+0.5 pts
27Bielski16.7+0.6 pts
27Koszaliński16.7+0.8 pts
27Oświęcimski16.7+0.6 pts
30Piotrkowski16.5+0.6 pts
30Płocki16.5+0.6 pts
30Włocławski16.5+0.6 pts
33Białostocki16.4+0.4 pts
33Rybnicki16.4+0.7 pts
35Legnicko-głogowski16.2+0.9 pts
36Żyrardowski16.1+0.6 pts
37Bialski16+0.5 pts
37Krośnieński16+0.6 pts
37Radomski16+0.6 pts
40Siedlecki15.9+0.4 pts
40Suwalski15.9+0.4 pts
42Kaliski15.8+0.6 pts
42Zielonogórski15.8+0.7 pts
44Przemyski15.7+0.4 pts
44Tarnowski15.7+0.4 pts
46Szczecinecko-pyrzycki15.6+0.8 pts
46Tarnobrzeski15.6+0.5 pts
48Ciechanowski15.5+0.4 pts
49Gorzowski15.4+0.7 pts
49Inowrocławski15.4+0.6 pts
51Koniński15.3+0.6 pts
52Grudziądzki15.2+0.5 pts
52Rzeszowski15.2+0.4 pts
54Olsztyński15.1+0.7 pts
54Warszawski zachodni15.1+0.5 pts
56Słupski15+0.7 pts
57Ostrołęcki14.9+0.5 pts
58Elbląski14.8+0.6 pts
58Szczeciński14.8+0.8 pts
60Nowotarski14.7+0.3 pts
61Ełcki14.6+0.5 pts
61Tyski14.6+0.6 pts
63Wrocławski14.5+0.6 pts
64Krakowski14.4+0.4 pts
64Leszczyński14.4+0.5 pts
64Pilski14.4+0.6 pts
64Świecki14.4+0.5 pts
64Warszawski wschodni14.4+0.5 pts
69Starogardzki13.8+0.6 pts
70Chojnicki13.7+0.6 pts
71Nowosądecki13.6+0.3 pts
72Poznański12.7+0.5 pts
73Gdański11.9+0.5 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 21.6% in 2017, according to Eurostat, European Commission.

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

Gdański, with 11.9% in 2017.

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