NUTS 3 areas of Poland by population density
Miasto Warszawa had the highest population density of 73 areas in 2022, at 3,692.9 inhabitants per km². Szczecinecko-pyrzycki had the lowest, at 38.2 inhabitants per km². The median was 99.3 inhabitants per km² and the figure for Poland was 119.8 inhabitants per km². Source: Eurostat, European Commission.
Top 40 areas, 2022
Full ranking
| Rank | Areas | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Miasto Warszawa Estimated | 3,692.9 | +4.3% |
| 2 | Miasto Kraków Estimated | 2,483.7 | +2% |
| 3 | Miasto Wrocław Estimated | 2,345.5 | +4.5% |
| 4 | Miasto Łódź Estimated | 2,239.1 | -3.1% |
| 5 | Miasto Poznań Estimated | 2,096.3 | +1% |
| 6 | Trójmiejski Estimated | 1,859.8 | -0.5% |
| 7 | Katowicki Estimated | 1,813.2 | -5.8% |
| 8 | Miasto Szczecin Estimated | 1,664.6 | -2.9% |
| 9 | Gliwicki Estimated | 495.8 | -6.5% |
| 10 | Rybnicki Estimated | 445.9 | -4.9% |
| 11 | Tyski Estimated | 431.1 | -2% |
| 12 | Sosnowiecki Estimated | 358.5 | -4.3% |
| 13 | Warszawski zachodni Estimated | 292.4 | +9.1% |
| 14 | Bielski Estimated | 279.3 | -2.4% |
| 15 | Bydgosko-toruński Estimated | 261.9 | -3.4% |
| 16 | Oświęcimski Estimated | 261.3 | -4.1% |
| 17 | Bytomski Estimated | 259 | -5.5% |
| 18 | Warszawski wschodni Estimated | 222.4 | +5.9% |
| 19 | Krakowski Estimated | 186 | +2.4% |
| 20 | Łódzki Estimated | 175.3 | -0.1% |
| 21 | Rzeszowski Estimated | 174.3 | -2.9% |
| 22 | Tarnowski Estimated | 165.1 | -5.7% |
| 23 | Lubelski Estimated | 163.4 | -3.7% |
| 24 | Częstochowski Estimated | 158.2 | -5% |
| 25 | Gdański Estimated | 147.6 | +4.5% |
| 26 | Nowosądecki Estimated | 146.6 | -4.1% |
| 27 | Poznański Estimated | 145.6 | +5.4% |
| 28 | Wałbrzyski Estimated | 140.7 | -7.4% |
| 29 | Kielecki Estimated | 139.5 | -6.4% |
| 30 | Tarnobrzeski Estimated | 126.3 | -6.5% |
| 31 | Legnicko-głogowski Estimated | 122.6 | -4.3% |
| 32 | Nowotarski Estimated | 122.1 | -4.8% |
| 33 | Kaliski Estimated | 111.9 | -2.8% |
| 34 | Opolski Estimated | 106.6 | -2.9% |
| 35 | Żyrardowski Estimated | 101.9 | -0.8% |
| 36 | Starogardzki Estimated | 100 | -5.2% |
| 37 | Radomski Estimated | 99.3 | -5.6% |
| 38 | Koniński Estimated | 99.2 | -4% |
| 39 | Wrocławski Estimated | 98.6 | +4.4% |
| 40 | Białostocki Estimated | 95.3 | -3.6% |
| 41 | Płocki Estimated | 93.6 | -4.8% |
| 42 | Jeleniogórski Estimated | 92.9 | -5.9% |
| 43 | Włocławski Estimated | 92.7 | -6.1% |
| 44 | Piotrkowski Estimated | 92.5 | -4.9% |
| 45 | Leszczyński Estimated | 92 | -1.9% |
| 46 | Grudziądzki Estimated | 91.1 | -4.9% |
| 47 | Inowrocławski Estimated | 85.8 | -5.8% |
| 48 | Skierniewicki Estimated | 83.8 | -4.2% |
| 49 | Nyski Estimated | 83.5 | -6.3% |
| 50 | Przemyski Estimated | 83 | -7.4% |
| 51 | Krośnieński Estimated | 79.7 | -6.5% |
| 52 | Puławski Estimated | 78.6 | -6.7% |
| 53 | Koszaliński Estimated | 78 | -4.2% |
| 54 | Zielonogórski Estimated | 75.9 | -4.5% |
| 55 | Sieradzki Estimated | 74.8 | -4.1% |
| 56 | Elbląski Estimated | 67.7 | -6.1% |
| 57 | Szczeciński Estimated | 66.9 | -3.3% |
| 58 | Siedlecki Estimated | 66.6 | -3.9% |
| 59 | Sandomiersko-jędrzejowski Estimated | 66.3 | -6.1% |
| 60 | Ciechanowski Estimated | 61.6 | -4% |
| 61 | Słupski Estimated | 61.5 | -4.7% |
| 62 | Gorzowski Estimated | 60.5 | -4.1% |
| 63 | Chełmsko-zamojski Estimated | 60.3 | -8.1% |
| 63 | Pilski Estimated | 60.3 | -4.6% |
| 65 | Olsztyński Estimated | 56.8 | -6% |
| 66 | Ostrołęcki Estimated | 56 | -4.3% |
| 67 | Chojnicki Estimated | 53.8 | -3.8% |
| 68 | Świecki Estimated | 53.3 | -5.7% |
| 69 | Bialski Estimated | 46.7 | -6.4% |
| 70 | Ełcki Estimated | 44.3 | -7.1% |
| 71 | Suwalski Estimated | 40.3 | -6.3% |
| 72 | Łomżyński Estimated | 40.2 | -6.7% |
| 73 | Szczecinecko-pyrzycki Estimated | 38.2 | -7.5% |
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 3,692.9 inhabitants per km² in 2022, according to Eurostat, European Commission.
Which area has the lowest population density?
Szczecinecko-pyrzycki, with 38.2 inhabitants per km² in 2022.
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)