Want to build a house in Namur, but have no idea what land prices look like? Using this example, you’ll discover how to analyse the market in just a few minutes with the SmartBlock – Market Explorer tool.
➡️ Step 1: Filter buildable plots
- Access Market Explorer via our SmartBlock website.
- Select “Land” (“Terrains”) in the property type menu.
- Apply two filters:
- Buildable plots only;
- Surface area under 10,000 m².
This step lets you target only the plots relevant for standard residential construction.
➡️ Step 2: Target a specific area
Use the lasso tool on the map to manually draw the geographic area you’re interested in, in Namur.
This isolates the plots in the neighbourhood you’re really interested in.
➡️ Step 3: Look at the prices
Once the selection is made, the tool immediately gives you the median price per square metre.
Example: in the video, the median price here is €116/m².
But beware, this price varies significantly depending on the surface area. Hence the next step…
➡️ Step 4: Export the data to Excel
- Click on “Export data” (in the app: “Exporter les données”) to retrieve the list of selected plots.
- Open the file in Microsoft Excel or any other spreadsheet tool.
➡️ Step 5: Analyse the relationship between surface area and price
- Select two columns:
- Plot surface area
- Price per m²
- Create a scatter plot chart.
- Add a trend line:
- Choose a logarithmic curve, since the relationship between price and surface area is often logarithmic or exponential in nature.
- (Optional but recommended) Switch the X axis to a logarithmic scale to better visualise the trend.
➡️ Step 6: Interpret the results
You’ll see a clear trend:
- 1,000 m² plots: around €125/m²
- 4,000 m² plots: around €50/m²
👉 The larger the surface area, the lower the price per square metre.
✅ Conclusion
With Market Explorer + Excel , you’re now able to:
✅ Spot interesting plots
✅ Understand how surface area impacts price
✅ Base your purchasing decisions on reliable, visual data
This tool is a genuine time-saver and helps you better grasp the complexity of the real estate market.