NUTS 3 areas of Poland by population aged 15 to 64
Miasto Warszawa had the highest population aged 15 to 64 of 73 areas in 2022, at 1.22 million. Świecki had the lowest, at 114,311. The median was 316,597 and the figure for Poland was 24.01 million. Source: Eurostat, European Commission.
Top 40 areas, 2022
Full ranking
| Rank | Areas | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Miasto Warszawa Estimated | 1,223,144 | -0.2% |
| 2 | Miasto Kraków Estimated | 527,416 | -0.3% |
| 3 | Krakowski Estimated | 489,248 | 0% |
| 4 | Bydgosko-toruński Estimated | 485,534 | -1.2% |
| 5 | Trójmiejski Estimated | 480,892 | -0.9% |
| 6 | Poznański Estimated | 467,653 | +0.5% |
| 7 | Warszawski zachodni Estimated | 460,510 | +0.6% |
| 8 | Kielecki Estimated | 448,544 | -1.8% |
| 9 | Katowicki Estimated | 448,413 | -1.6% |
| 10 | Miasto Wrocław Estimated | 445,331 | -0.6% |
| 11 | Warszawski wschodni Estimated | 444,939 | +0.4% |
| 12 | Lubelski Estimated | 443,024 | -1% |
| 13 | Kaliski Estimated | 421,357 | -1.1% |
| 14 | Miasto Łódź Estimated | 415,535 | -2.2% |
| 15 | Bielski Estimated | 415,491 | -1% |
| 16 | Koniński Estimated | 409,738 | -1.2% |
| 17 | Wrocławski Estimated | 408,880 | 0% |
| 18 | Sosnowiecki Estimated | 408,831 | -2.2% |
| 19 | Gdański Estimated | 408,222 | +0.6% |
| 20 | Rzeszowski Estimated | 403,267 | -0.3% |
| 21 | Zielonogórski Estimated | 387,071 | -1.5% |
| 22 | Rybnicki Estimated | 385,505 | -1.2% |
| 23 | Wałbrzyski Estimated | 377,929 | -2.2% |
| 24 | Olsztyński Estimated | 374,336 | -1.5% |
| 25 | Opolski Estimated | 369,918 | -1.5% |
| 26 | Radomski Estimated | 368,522 | -1.6% |
| 27 | Tarnobrzeski Estimated | 364,341 | -1.5% |
| 28 | Chełmsko-zamojski Estimated | 362,339 | -2% |
| 29 | Miasto Poznań Estimated | 356,320 | -0.9% |
| 30 | Leszczyński Estimated | 356,093 | -0.9% |
| 31 | Piotrkowski Estimated | 354,825 | -1.6% |
| 32 | Oświęcimski Estimated | 337,641 | -1.4% |
| 33 | Nowosądecki Estimated | 334,936 | -0.6% |
| 34 | Jeleniogórski Estimated | 334,780 | -2.1% |
| 35 | Szczeciński Estimated | 322,299 | -1.3% |
| 36 | Białostocki Estimated | 318,155 | -0.9% |
| 37 | Elbląski Estimated | 316,597 | -1.7% |
| 38 | Częstochowski Estimated | 310,203 | -1.9% |
| 39 | Krośnieński Estimated | 285,530 | -1.5% |
| 40 | Sandomiersko-jędrzejowski Estimated | 282,297 | -1.8% |
| 41 | Gliwicki Estimated | 281,574 | -1.8% |
| 42 | Puławski Estimated | 279,917 | -1.7% |
| 43 | Tarnowski Estimated | 278,540 | -1.2% |
| 44 | Sieradzki Estimated | 273,677 | -1.4% |
| 45 | Legnicko-głogowski Estimated | 272,468 | -1.5% |
| 46 | Bytomski Estimated | 265,449 | -1.4% |
| 47 | Starogardzki Estimated | 264,826 | -1.3% |
| 48 | Siedlecki Estimated | 257,269 | -1.3% |
| 49 | Pilski Estimated | 253,325 | -1.4% |
| 50 | Tyski Estimated | 252,843 | -1.1% |
| 51 | Miasto Szczecin Estimated | 251,411 | -1.7% |
| 52 | Szczecinecko-pyrzycki Estimated | 249,412 | -2% |
| 53 | Łódzki Estimated | 248,722 | -0.8% |
| 54 | Gorzowski Estimated | 239,382 | -1.6% |
| 55 | Grudziądzki Estimated | 237,768 | -1.5% |
| 56 | Ostrołęcki Estimated | 237,546 | -1.3% |
| 57 | Przemyski Estimated | 231,453 | -1.5% |
| 58 | Łomżyński Estimated | 228,666 | -1.8% |
| 59 | Inowrocławski Estimated | 220,836 | -1.6% |
| 60 | Nyski Estimated | 219,869 | -1.9% |
| 61 | Skierniewicki Estimated | 219,630 | -1.8% |
| 62 | Koszaliński Estimated | 217,254 | -1.8% |
| 63 | Włocławski Estimated | 216,024 | -1.7% |
| 64 | Ciechanowski Estimated | 212,294 | -1.5% |
| 65 | Nowotarski Estimated | 209,677 | -1.1% |
| 66 | Słupski Estimated | 203,873 | -1.4% |
| 67 | Płocki Estimated | 201,507 | -1.3% |
| 68 | Bialski Estimated | 180,141 | -1.6% |
| 69 | Ełcki Estimated | 171,330 | -1.5% |
| 70 | Żyrardowski Estimated | 166,124 | -1.1% |
| 71 | Suwalski Estimated | 161,957 | -1.6% |
| 72 | Chojnicki Estimated | 139,655 | -1.1% |
| 73 | Świecki Estimated | 114,311 | -1.3% |
Other periods
About this ranking
Resident population aged 15 to 64 on 1 January (Eurostat).
The working-age band Eurostat uses for EU comparisons. population_16_64 (INE, Spain) starts at 16, so the two series differ.
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 broad age group, 15 to 64, by NUTS 2 and 3 region (demo_r_pjanaggr3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanaggr3/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 population aged 15 to 64 using official data, and cite the source.
rank_places {"indicator":"population_15_64","level":"province","within":"Poland","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_15_64&level=province&within=Poland&limit=10Questions
Which area has the highest population aged 15 to 64?
Miasto Warszawa, with 1.22 million in 2022, according to Eurostat, European Commission.
Which area has the lowest population aged 15 to 64?
Świecki, with 114,311 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 broad age group, 15 to 64, by NUTS 2 and 3 region (demo_r_pjanaggr3). Retrieved 2026-10-09.
Population aged 15 to 64: other rankings
- EU countries
- EU regions (NUTS 2)
- Autonomous communities of Spain
- Provinces of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)
- Regions of Greece (NUTS 2)
- Regions of Netherlands (NUTS 2)
- Regions of Belgium (NUTS 2)
- Regions of Austria (NUTS 2)