NUTS 3 areas of Poland by population
Miasto Warszawa had the highest population of 73 areas in 2022, at 1.87 million. Świecki had the lowest, at 175,188. The median was 483,141 and the figure for Poland was 36.89 million. Source: Eurostat, European Commission.
Top 40 areas, 2022
Full ranking
| Rank | Areas | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Miasto Warszawa Estimated | 1,868,018 | +0.1% |
| 2 | Miasto Kraków Estimated | 791,939 | +0.2% |
| 3 | Bydgosko-toruński Estimated | 747,601 | -0.5% |
| 4 | Krakowski Estimated | 747,568 | +0.5% |
| 5 | Trójmiejski Estimated | 746,755 | -0.3% |
| 6 | Poznański Estimated | 706,509 | +1% |
| 7 | Warszawski zachodni Estimated | 706,197 | +1% |
| 8 | Kielecki Estimated | 701,880 | -1% |
| 9 | Katowicki Estimated | 688,521 | -1.1% |
| 10 | Lubelski Estimated | 684,656 | -0.5% |
| 11 | Warszawski wschodni Estimated | 682,578 | +0.8% |
| 12 | Miasto Wrocław Estimated | 670,438 | 0% |
| 13 | Miasto Łódź Estimated | 659,112 | -1.3% |
| 14 | Kaliski Estimated | 646,066 | -0.5% |
| 15 | Bielski Estimated | 645,522 | -0.4% |
| 16 | Sosnowiecki Estimated | 642,334 | -1.2% |
| 17 | Koniński Estimated | 626,025 | -0.5% |
| 18 | Wrocławski Estimated | 622,507 | +0.7% |
| 19 | Gdański Estimated | 617,801 | +1.1% |
| 20 | Rzeszowski Estimated | 616,786 | +0.1% |
| 21 | Zielonogórski Estimated | 593,736 | -0.7% |
| 22 | Rybnicki Estimated | 591,269 | -0.8% |
| 23 | Wałbrzyski Estimated | 589,688 | -1.3% |
| 24 | Radomski Estimated | 569,326 | -0.9% |
| 25 | Olsztyński Estimated | 568,874 | -0.8% |
| 26 | Opolski Estimated | 563,374 | -0.8% |
| 27 | Chełmsko-zamojski Estimated | 561,415 | -1.4% |
| 28 | Tarnobrzeski Estimated | 558,601 | -0.8% |
| 29 | Piotrkowski Estimated | 550,213 | -0.9% |
| 30 | Leszczyński Estimated | 544,388 | -0.3% |
| 31 | Miasto Poznań Estimated | 540,458 | -0.4% |
| 32 | Oświęcimski Estimated | 522,161 | -0.7% |
| 33 | Jeleniogórski Estimated | 516,978 | -1.1% |
| 34 | Nowosądecki Estimated | 513,097 | -0.2% |
| 35 | Szczeciński Estimated | 489,432 | -0.3% |
| 36 | Białostocki Estimated | 487,896 | -0.2% |
| 37 | Elbląski Estimated | 483,141 | -0.9% |
| 38 | Częstochowski Estimated | 482,129 | -1.1% |
| 39 | Sandomiersko-jędrzejowski Estimated | 440,838 | -1.1% |
| 40 | Krośnieński Estimated | 439,214 | -0.9% |
| 41 | Puławski Estimated | 438,994 | -1.1% |
| 42 | Gliwicki Estimated | 431,463 | -1% |
| 43 | Tarnowski Estimated | 426,294 | -0.7% |
| 44 | Legnicko-głogowski Estimated | 422,618 | -0.6% |
| 45 | Sieradzki Estimated | 422,292 | -0.8% |
| 46 | Bytomski Estimated | 406,324 | -0.7% |
| 47 | Starogardzki Estimated | 402,846 | -0.6% |
| 48 | Siedlecki Estimated | 401,044 | -0.7% |
| 49 | Miasto Szczecin Estimated | 389,103 | -0.9% |
| 50 | Pilski Estimated | 386,428 | -0.7% |
| 51 | Tyski Estimated | 386,273 | -0.2% |
| 52 | Łódzki Estimated | 386,039 | -0.3% |
| 53 | Szczecinecko-pyrzycki Estimated | 384,399 | -1.1% |
| 54 | Gorzowski Estimated | 364,545 | -1% |
| 55 | Ostrołęcki Estimated | 363,618 | -0.7% |
| 56 | Grudziądzki Estimated | 363,319 | -0.8% |
| 57 | Łomżyński Estimated | 355,302 | -1.2% |
| 58 | Przemyski Estimated | 354,015 | -0.9% |
| 59 | Skierniewicki Estimated | 341,811 | -1.1% |
| 60 | Nyski Estimated | 339,070 | -1% |
| 61 | Inowrocławski Estimated | 337,250 | -0.9% |
| 62 | Koszaliński Estimated | 335,325 | -0.9% |
| 63 | Włocławski Estimated | 331,420 | -1% |
| 64 | Ciechanowski Estimated | 323,742 | -0.8% |
| 65 | Nowotarski Estimated | 319,903 | -0.6% |
| 66 | Słupski Estimated | 313,412 | -0.6% |
| 67 | Płocki Estimated | 308,637 | -0.8% |
| 68 | Bialski Estimated | 277,011 | -1.1% |
| 69 | Ełcki Estimated | 259,828 | -0.8% |
| 70 | Żyrardowski Estimated | 256,324 | -0.5% |
| 71 | Suwalski Estimated | 246,187 | -1% |
| 72 | Chojnicki Estimated | 214,696 | -0.3% |
| 73 | Świecki Estimated | 175,188 | -0.6% |
Other periods
About this ranking
Resident population. Spain and the EU: 1 January, with Spanish figures from the official municipal register (Padrón). United States: Census Bureau population estimates for 1 July. Other countries and the World: World Bank mid-year estimates, which count all residents regardless of legal status or citizenship.
For Denmark, Statistics Denmark counts the registered resident population on 1 January. Greenland and the Faroe Islands are excluded. The annual series selects the first-quarter reference date from FOLK1A. The World Bank series exists for every country, so use it (through compare) to rank countries on one basis.
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 on 1 January by NUTS 3 region (demo_r_pjanaggr3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanaggr3/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 using official data, and cite the source.
rank_places {"indicator":"population","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population&level=province&within=Poland&limit=10
Questions
Which area has the highest population?
Miasto Warszawa, with 1.87 million in 2022, according to Eurostat, European Commission.
Which area has the lowest population?
Świecki, with 175,188 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 on 1 January by NUTS 3 region (demo_r_pjanaggr3). Retrieved 2026-10-08.
Population: 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)
NUTS 3 areas of Poland: more rankings
- Live births
- Crude birth rate
- Crude death rate
- Deaths
- Age dependency ratio (ages 15 to 64 base)
- Total fertility rate
- Gross domestic product (GDP)
- GDP per capita
- GDP per capita in PPS (EU27 = 100)
- Median age
- Population aged 15 to 64
- Population aged 65 and over
- Population density
- Nights spent in tourist accommodation