Biggest price evolution in Wallonia
Top 50 municipalities with the strongest real estate price evolution in Wallonia.
| # | Municipality | Median house price |
|---|---|---|
| 1 | Lasne | €810,000 |
| 2 | Chaumont-Gistoux | €570,000 |
| 3 | La Hulpe | €515,000 |
| 4 | Rixensart | €500,000 |
| 5 | Waterloo | €495,000 |
| 6 | Attert | €485,000 |
| 7 | Walhain | €472,500 |
| 8 | Grez-Doiceau | €460,000 |
| 9 | Incourt | €427,750 |
| 10 | Messancy | €425,000 |
| 11 | Beauvechain | €412,000 |
| 12 | Braine-le-Chateau | €410,000 |
| 13 | Ittre | €395,000 |
| 14 | Neupre | €395,000 |
| 15 | Nandrin | €390,000 |
| 16 | Court-Saint-Etienne | €385,000 |
| 17 | Gesves | €380,000 |
| 18 | Braine-l'Alleud | €373,750 |
| 19 | Ottignies-Louvain-la-Neuve | €370,000 |
| 20 | Villers-la-Ville | €360,000 |
| 21 | Chastre | €355,000 |
| 22 | Silly | €355,000 |
| 23 | Jalhay | €350,000 |
| 24 | Profondeville | €345,000 |
| 25 | Aubel | €345,000 |
| 26 | Olne | €343,500 |
| 27 | Mont-Saint-Guibert | €343,000 |
| 28 | Donceel | €334,000 |
| 29 | Heron | €331,500 |
| 30 | Verlaine | €330,000 |
| 31 | Jurbise | €330,000 |
| 32 | Geer | €330,000 |
| 33 | Eghezee | €330,000 |
| 34 | Perwez | €330,000 |
| 35 | Wavre | €329,000 |
| 36 | Lontzen | €326,500 |
| 37 | Assesse | €325,000 |
| 38 | Amel | €325,000 |
| 39 | Arlon | €320,000 |
| 40 | Hamois | €320,000 |
| 41 | Tintigny | €312,500 |
| 42 | Mont-de-l'Enclus | €312,000 |
| 43 | Ham-sur-Heure-Nalinnes | €310,000 |
| 44 | Ramillies | €310,000 |
| 45 | Nivelles | €310,000 |
| 46 | La Roche-en-Ardenne | €302,250 |
| 47 | Ohey | €301,000 |
| 48 | Orp-Jauche | €300,750 |
| 49 | Tubize | €300,000 |
| 50 | Houffalize | €299,500 |
Methodology
This ranking is based on official Statbel data (Directorate-General Statistics). Prices are medians of recorded transactions. Neighborhood scores are calculated from public data on transport, schools, shops, green spaces, and safety.
FAQ
This ranking is based on official Statbel data (Directorate-General Statistics). Prices are medians of recorded transactions. Neighborhood scores are calculated from public data on transport, schools, shops, green spaces, and safety.
Data is updated quarterly based on the latest Statbel publications.