NUTS 3 areas of Poland by GDP per capita in purchasing power (EU = 100)
Miasto Warszawa had the highest GDP per capita in purchasing power (EU = 100) of 73 areas in 2022, at 207%. Przemyski had the lowest, at 40%. The median was 60% and the figure for Poland was 78%. Source: Eurostat, European Commission.
Top 40 areas, 2022
Full ranking
| Rank | Areas | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Miasto Warszawa Series break | 207 | -2 pts |
| 2 | Płocki Series break | 155 | +28 pts |
| 3 | Miasto Poznań Series break | 147 | -7 pts |
| 4 | Trójmiejski Series break | 125 | +9 pts |
| 5 | Miasto Kraków Series break | 124 | -6 pts |
| 6 | Miasto Wrocław Series break | 118 | -7 pts |
| 7 | Katowicki Series break | 109 | +2 pts |
| 8 | Gliwicki Series break | 100 | +4 pts |
| 9 | Legnicko-głogowski Series break | 97 | -7 pts |
| 9 | Tyski Series break | 97 | +9 pts |
| 11 | Miasto Łódź Series break | 96 | -4 pts |
| 12 | Warszawski zachodni Series break | 92 | -6 pts |
| 13 | Miasto Szczecin Series break | 87 | -5 pts |
| 14 | Wrocławski Series break | 85 | -1 pts |
| 15 | Poznański Series break | 83 | -3 pts |
| 16 | Bydgosko-toruński Series break | 77 | -3 pts |
| 17 | Piotrkowski Series break | 75 | 0 pts |
| 18 | Rybnicki Series break | 73 | +6 pts |
| 18 | Sosnowiecki Series break | 73 | -6 pts |
| 20 | Bielski Series break | 72 | -4 pts |
| 20 | Opolski Series break | 72 | -3 pts |
| 22 | Częstochowski Series break | 69 | -1 pts |
| 22 | Lubelski Series break | 69 | -3 pts |
| 24 | Kaliski Series break | 68 | -2 pts |
| 25 | Białostocki Series break | 67 | 0 pts |
| 25 | Leszczyński Series break | 67 | -2 pts |
| 25 | Rzeszowski Series break | 67 | -1 pts |
| 28 | Żyrardowski Series break | 66 | -4 pts |
| 29 | Zielonogórski Series break | 65 | -1 pts |
| 30 | Łódzki Series break | 64 | -4 pts |
| 30 | Świecki Series break | 64 | +1 pts |
| 32 | Ostrołęcki Series break | 63 | +3 pts |
| 33 | Ciechanowski Series break | 62 | -3 pts |
| 33 | Koszaliński Series break | 62 | -2 pts |
| 33 | Olsztyński Series break | 62 | -1 pts |
| 36 | Kielecki Series break | 61 | -2 pts |
| 37 | Gorzowski Series break | 60 | -3 pts |
| 37 | Koniński Series break | 60 | -1 pts |
| 37 | Siedlecki Series break | 60 | +1 pts |
| 37 | Starogardzki Series break | 60 | 0 pts |
| 37 | Tarnobrzeski Series break | 60 | -2 pts |
| 42 | Jeleniogórski Series break | 59 | -2 pts |
| 42 | Oświęcimski Series break | 59 | -1 pts |
| 42 | Pilski Series break | 59 | +1 pts |
| 42 | Szczeciński Series break | 59 | -2 pts |
| 46 | Grudziądzki Series break | 58 | +1 pts |
| 46 | Warszawski wschodni Series break | 58 | -2 pts |
| 48 | Sieradzki Series break | 57 | +1 pts |
| 48 | Skierniewicki Series break | 57 | -1 pts |
| 50 | Łomżyński Series break | 56 | 0 pts |
| 50 | Włocławski Series break | 56 | +2 pts |
| 52 | Radomski Series break | 55 | -2 pts |
| 52 | Słupski Series break | 55 | -5 pts |
| 52 | Wałbrzyski Series break | 55 | -2 pts |
| 55 | Bytomski Series break | 54 | -3 pts |
| 55 | Krakowski Series break | 54 | -2 pts |
| 55 | Suwalski Series break | 54 | +2 pts |
| 58 | Elbląski Series break | 53 | -1 pts |
| 58 | Inowrocławski Series break | 53 | +1 pts |
| 60 | Puławski Series break | 51 | +1 pts |
| 60 | Sandomiersko-jędrzejowski Series break | 51 | -1 pts |
| 62 | Bialski Series break | 50 | +1 pts |
| 62 | Gdański Series break | 50 | -3 pts |
| 64 | Chojnicki Series break | 49 | -2 pts |
| 65 | Nowosądecki Series break | 48 | -2 pts |
| 65 | Nyski Series break | 48 | -2 pts |
| 65 | Szczecinecko-pyrzycki Series break | 48 | -2 pts |
| 65 | Tarnowski Series break | 48 | -3 pts |
| 69 | Ełcki Series break | 47 | -2 pts |
| 70 | Krośnieński Series break | 46 | 0 pts |
| 71 | Nowotarski Series break | 44 | -2 pts |
| 72 | Chełmsko-zamojski Series break | 42 | -1 pts |
| 73 | Przemyski Series break | 40 | -2 pts |
Other periods
About this ranking
GDP per inhabitant in purchasing power standards as a percentage of the EU27 average.
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. GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). https://ec.europa.eu/eurostat/databrowser/view/nama_10r_3gdp/default/table. Retrieved 2026-10-08.Use this data in your AI agent
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Rank NUTS 3 areas of Poland by GDP per capita in purchasing power (EU = 100) using official data, and cite the source.
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Which area has the highest GDP per capita in purchasing power (EU = 100)?
Miasto Warszawa, with 207% in 2022, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Przemyski, with 40% 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, GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). Retrieved 2026-10-08.
GDP per capita in PPS (EU27 = 100): 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)