NUTS 3 areas of Poland by population density
Miasto Warszawa had the highest population density of 73 areas in 2023, at 3,693.9 inhabitants per km². Szczecinecko-pyrzycki had the lowest, at 37.8 inhabitants per km². The median was 99.3 inhabitants per km² and the figure for Poland was 119.4 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2023
Full ranking
| Rank | Areas | 2023 | Change on 2022 |
|---|---|---|---|
| 1 | Miasto Warszawa Estimated | 3,693.9 | 0% |
| 2 | Miasto Kraków Estimated | 2,488.3 | +0.2% |
| 3 | Miasto Wrocław Estimated | 2,346.3 | 0% |
| 4 | Miasto Łódź Estimated | 2,217.7 | -1% |
| 5 | Miasto Poznań Estimated | 2,084.9 | -0.5% |
| 6 | Trójmiejski Estimated | 1,856.2 | -0.2% |
| 7 | Katowicki Estimated | 1,797.6 | -0.9% |
| 8 | Miasto Szczecin Estimated | 1,653.5 | -0.7% |
| 9 | Gliwicki Estimated | 492.1 | -0.7% |
| 10 | Rybnicki Estimated | 443.2 | -0.6% |
| 11 | Tyski Estimated | 430.1 | -0.2% |
| 12 | Sosnowiecki Estimated | 355.1 | -0.9% |
| 13 | Warszawski zachodni Estimated | 295.4 | +1% |
| 14 | Bielski Estimated | 278.3 | -0.4% |
| 15 | Bydgosko-toruński Estimated | 260.9 | -0.4% |
| 16 | Oświęcimski Estimated | 259.6 | -0.7% |
| 17 | Bytomski Estimated | 257.2 | -0.7% |
| 18 | Warszawski wschodni Estimated | 223.9 | +0.7% |
| 19 | Krakowski Estimated | 186.9 | +0.5% |
| 20 | Łódzki Estimated | 175.1 | -0.1% |
| 21 | Rzeszowski Estimated | 174.5 | +0.1% |
| 22 | Tarnowski Estimated | 164.5 | -0.4% |
| 23 | Lubelski Estimated | 163 | -0.2% |
| 24 | Częstochowski Estimated | 157.1 | -0.7% |
| 25 | Gdański Estimated | 149.1 | +1% |
| 26 | Poznański Estimated | 146.8 | +0.8% |
| 27 | Nowosądecki Estimated | 146.5 | -0.1% |
| 28 | Wałbrzyski Estimated | 139.1 | -1.1% |
| 29 | Kielecki Estimated | 138.4 | -0.8% |
| 30 | Tarnobrzeski Estimated | 125.8 | -0.4% |
| 31 | Nowotarski Estimated | 122 | -0.1% |
| 32 | Legnicko-głogowski Estimated | 121.9 | -0.6% |
| 33 | Kaliski Estimated | 111.4 | -0.4% |
| 34 | Opolski Estimated | 106.1 | -0.5% |
| 35 | Żyrardowski Estimated | 101.6 | -0.3% |
| 36 | Starogardzki Estimated | 99.5 | -0.5% |
| 37 | Wrocławski Estimated | 99.3 | +0.7% |
| 38 | Koniński Estimated | 98.8 | -0.4% |
| 39 | Radomski Estimated | 98.7 | -0.6% |
| 40 | Białostocki Estimated | 95.3 | 0% |
| 41 | Płocki Estimated | 92.9 | -0.7% |
| 42 | Jeleniogórski Estimated | 92.1 | -0.9% |
| 43 | Piotrkowski Estimated | 91.9 | -0.6% |
| 43 | Włocławski Estimated | 91.9 | -0.9% |
| 45 | Leszczyński Estimated | 91.8 | -0.2% |
| 46 | Grudziądzki Estimated | 90.5 | -0.7% |
| 47 | Inowrocławski Estimated | 85.2 | -0.7% |
| 48 | Skierniewicki Estimated | 83.1 | -0.8% |
| 49 | Nyski Estimated | 82.7 | -1% |
| 50 | Przemyski Estimated | 82.4 | -0.7% |
| 51 | Krośnieński Estimated | 79.2 | -0.6% |
| 52 | Puławski Estimated | 77.9 | -0.9% |
| 53 | Koszaliński Estimated | 77.6 | -0.5% |
| 54 | Zielonogórski Estimated | 75.5 | -0.5% |
| 55 | Sieradzki Estimated | 74.3 | -0.7% |
| 56 | Elbląski Estimated | 67.2 | -0.7% |
| 57 | Szczeciński Estimated | 66.7 | -0.3% |
| 58 | Siedlecki Estimated | 66.3 | -0.5% |
| 59 | Sandomiersko-jędrzejowski Estimated | 65.6 | -1.1% |
| 60 | Ciechanowski Estimated | 61.3 | -0.5% |
| 60 | Słupski Estimated | 61.3 | -0.3% |
| 62 | Gorzowski Estimated | 60.1 | -0.7% |
| 63 | Pilski Estimated | 60 | -0.5% |
| 64 | Chełmsko-zamojski Estimated | 59.7 | -1% |
| 65 | Olsztyński Estimated | 56.5 | -0.5% |
| 66 | Ostrołęcki Estimated | 55.7 | -0.5% |
| 67 | Chojnicki Estimated | 53.7 | -0.2% |
| 68 | Świecki Estimated | 53 | -0.6% |
| 69 | Bialski Estimated | 46.3 | -0.9% |
| 70 | Ełcki Estimated | 43.9 | -0.9% |
| 71 | Suwalski Estimated | 40 | -0.7% |
| 72 | Łomżyński Estimated | 39.8 | -1% |
| 73 | Szczecinecko-pyrzycki Estimated | 37.8 | -1% |
Other periods
About this ranking
Resident population divided by land area in km². World Bank figures use mid-year population and land area excluding inland water.
United States: Census Bureau population estimates for 1 July divided by land area (water excluded) from the latest Census Gazetteer files. US tables often give people per square mile; multiply persons per km² by 2.59 to compare.
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 density by NUTS 3 region (demo_r_d3dens). https://ec.europa.eu/eurostat/databrowser/view/demo_r_d3dens/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 population density using official data, and cite the source.
rank_places {"indicator":"population_density","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_density&level=province&within=Poland&limit=10Questions
Which area has the highest population density?
Miasto Warszawa, with 3,693.9 inhabitants per km² in 2023, according to Eurostat, European Commission.
Which area has the lowest population density?
Szczecinecko-pyrzycki, with 37.8 inhabitants per km² 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 density by NUTS 3 region (demo_r_d3dens). Retrieved 2026-10-08.
Population density: other rankings
- Countries
- EU countries
- US states
- EU regions (NUTS 2)
- US counties
- Autonomous communities of Spain
- Provinces of Spain
- Municipalities of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)