Data / Rankings / Age dependency ratio (ages 15 to 64 base) / NUTS 3 areas of Poland

NUTS 3 areas of Poland by age dependency ratio (ages 15 to 64 base)

Miasto Warszawa had the highest age dependency ratio (ages 15 to 64 base) of 73 areas in 2017, at 52.9%. Szczeciński had the lowest, at 42.6%. The median was 45.5% and the figure for Poland was 46.3%. Source: Eurostat, European Commission.

Highest52.9Miasto Warszawa
Lowest42.6Szczeciński
Median45.573 areas
Poland46.3History

Top 40 areas, 2017

CSVChart (SVG)

Miasto WarszawaMiasto Warszawa: 52.9 %52.9Miasto ŁódźMiasto Łódź: 51.2 %51.2TrójmiejskiTrójmiejski: 51 %51Miasto PoznańMiasto Poznań: 49.5 %49.5Miasto WrocławMiasto Wrocław: 48.9 %48.9Miasto KrakówMiasto Kraków: 48.7 %48.7Warszawski zachodniWarszawski zachodni: 48.2 %48.2PuławskiPuławski: 48.1 %48.1Miasto SzczecinMiasto Szczecin: 47.9 %47.9ŁódzkiŁódzki: 47.7 %47.7SiedleckiSiedlecki: 47.6 %47.6Warszawski wschodniWarszawski wschodni: 47.6 %47.6BielskiBielski: 47.4 %47.4ŁomżyńskiŁomżyński: 47.4 %47.4SkierniewickiSkierniewicki: 47.4 %47.4KatowickiKatowicki: 47.3 %47.3Sandomiersko-jędrzejowskiSandomiersko-jędrzejowski: 47.1 %47.1ŻyrardowskiŻyrardowski: 46.9 %46.9SosnowieckiSosnowiecki: 46.5 %46.5LubelskiLubelski: 46.4 %46.4NowosądeckiNowosądecki: 46.4 %46.4SieradzkiSieradzki: 46.4 %46.4Bydgosko-toruńskiBydgosko-toruński: 46.3 %46.3BytomskiBytomski: 46.3 %46.3PiotrkowskiPiotrkowski: 46.3 %46.3CzęstochowskiCzęstochowski: 46.2 %46.2KieleckiKielecki: 46.2 %46.2NowotarskiNowotarski: 46.2 %46.2OświęcimskiOświęcimski: 46.1 %46.1RybnickiRybnicki: 46.1 %46.1GliwickiGliwicki: 45.9 %45.9KaliskiKaliski: 45.9 %45.9ChojnickiChojnicki: 45.8 %45.8BialskiBialski: 45.7 %45.7Chełmsko-zamojskiChełmsko-zamojski: 45.6 %45.6PłockiPłocki: 45.6 %45.6GdańskiGdański: 45.5 %45.5KrakowskiKrakowski: 45.5 %45.5LeszczyńskiLeszczyński: 45.5 %45.5OpolskiOpolski: 45.5 %45.5
%. Source: Eurostat. Retrieved 2026-10-09.

Full ranking

RankAreas2017 (%)Change on 2016
1Miasto Warszawa52.9+2 pts
2Miasto Łódź51.2+2.3 pts
3Trójmiejski51+2.2 pts
4Miasto Poznań49.5+2.2 pts
5Miasto Wrocław48.9+2.2 pts
6Miasto Kraków48.7+1.9 pts
7Warszawski zachodni48.2+1.4 pts
8Puławski48.1+1 pts
9Miasto Szczecin47.9+2.5 pts
10Łódzki47.7+1.5 pts
11Siedlecki47.6+1.1 pts
11Warszawski wschodni47.6+1.3 pts
13Bielski47.4+1.4 pts
13Łomżyński47.4+0.7 pts
13Skierniewicki47.4+1.4 pts
16Katowicki47.3+1.7 pts
17Sandomiersko-jędrzejowski47.1+1 pts
18Żyrardowski46.9+1.2 pts
19Sosnowiecki46.5+2 pts
20Lubelski46.4+1.3 pts
20Nowosądecki46.4+0.5 pts
20Sieradzki46.4+1.1 pts
23Bydgosko-toruński46.3+1.5 pts
23Bytomski46.3+1.4 pts
23Piotrkowski46.3+1.3 pts
26Częstochowski46.2+1.4 pts
26Kielecki46.2+1.3 pts
26Nowotarski46.2+0.6 pts
29Oświęcimski46.1+1.2 pts
29Rybnicki46.1+1.7 pts
31Gliwicki45.9+1.6 pts
31Kaliski45.9+1.2 pts
33Chojnicki45.8+1.1 pts
34Bialski45.7+0.9 pts
35Chełmsko-zamojski45.6+0.8 pts
35Płocki45.6+1.2 pts
37Gdański45.5+1 pts
37Krakowski45.5+1 pts
37Leszczyński45.5+1.2 pts
37Opolski45.5+1.4 pts
37Wałbrzyski45.5+1.6 pts
42Grudziądzki45.4+1 pts
43Radomski45.3+1.1 pts
44Legnicko-głogowski45.2+2 pts
44Ostrołęcki45.2+0.9 pts
44Rzeszowski45.2+1 pts
47Koniński45.1+1.2 pts
47Koszaliński45.1+1.7 pts
47Poznański45.1+1.4 pts
47Tarnowski45.1+0.7 pts
51Krośnieński44.9+0.9 pts
51Włocławski44.9+1.2 pts
53Ciechanowski44.8+0.8 pts
53Nyski44.8+1.4 pts
55Białostocki44.7+1.1 pts
55Suwalski44.7+0.8 pts
55Świecki44.7+1 pts
58Gorzowski44.6+1.4 pts
58Zielonogórski44.6+1.6 pts
60Słupski44.5+1.4 pts
61Tyski44.3+1.6 pts
61Wrocławski44.3+1.5 pts
63Jeleniogórski44.2+1.7 pts
63Pilski44.2+1.1 pts
63Przemyski44.2+0.7 pts
66Starogardzki44.1+1.1 pts
66Szczecinecko-pyrzycki44.1+1.4 pts
68Tarnobrzeski43.9+0.9 pts
69Elbląski43.7+1.1 pts
69Ełcki43.7+0.9 pts
69Inowrocławski43.7+1.2 pts
72Olsztyński43+1.3 pts
73Szczeciński42.6+1.5 pts

Other periods

About this ranking

Population aged 0 to 14 plus population aged 65 and over, divided by population aged 15 to 64, times 100, on 1 January (Eurostat).

Eurostat age bands. dependency_ratio (INE, Spain) splits the ages at 16, so values for Spanish places differ between the two.

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, age dependency ratio (demo_r_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Retrieved 2026-10-09.

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 age dependency ratio (ages 15 to 64 base) using official data, and cite the source.
rank_places {"indicator":"dependency_ratio_15_64","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=dependency_ratio_15_64&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 age dependency ratio (ages 15 to 64 base)?

Miasto Warszawa, with 52.9% in 2017, according to Eurostat, European Commission.

Which area has the lowest age dependency ratio (ages 15 to 64 base)?

Szczeciński, with 42.6% 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 2 and 3 region, age dependency ratio (demo_r_pjanind3). Retrieved 2026-10-09.

Age dependency ratio (ages 15 to 64 base): other rankings

NUTS 3 areas of Poland: more rankings