Official Belgian data, explained
New single-family houses by municipality in Belgium (Jan–Apr 2026)
This page maps New single-family houses for one nationally comparable Jan–Apr 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Construction
What this indicator measures
Official building-permit total.
Indicator dossier
Data passport
- Selected reference period
- Jan–Apr 2026
- Geography
- municipalities
- Boundary set
- Statistical sectors 2025
- Measure
- New single-family houses
- Unit
- count
- Comparable areas
- 540
- Coverage
- 95.6%
Latest published slice
How to read the pattern
- Median
- 8count
- Unweighted area mean
- 13count
- Minimum
- 0count
- Maximum
- 299count
Across the valid national comparison set, the median is 8 count. Values extend from 0 to 299 count. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 299circle area
- 8circle area
- 3circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 0–12 | 358 |
| 12–25 | 108 |
| 25–37 | 45 |
| 37–50 | 14 |
| 50–62 | 9 |
| 62–75 | 2 |
| 75–87 | 0 |
| 87–100 | 0 |
| 100–112 | 1 |
| 112–125 | 1 |
| 125–137 | 0 |
| 137–150 | 1 |
| 150–162 | 0 |
| 162–174 | 0 |
| 174–187 | 0 |
| 187–199 | 0 |
| 199–212 | 0 |
| 212–224 | 0 |
| 224–237 | 0 |
| 237–249 | 0 |
| 249–262 | 0 |
| 262–274 | 0 |
| 274–287 | 0 |
| 287–299 | 1 |
Explore this exact slice in the atlas Download this data as CSV
municipalities
Highest and lowest values
From 540 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Highest | 1 | Koksijde | 38014 | 299 count |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 144 count |
| Highest | 3 | Willebroek | 12040 | 113 count |
| Highest | 4 | Brugge | 31005 | 101 count |
| Highest | 5 | De Panne | 38008 | 65 count |
| Highest | 6 | Hasselt | 71072 | 63 count |
| Highest | 7 | Deinze | 44083 | 62 count |
| Highest | 8 | Beveren-Kruibeke-Zwijndrecht | 46030 | 57 count |
| Highest | 9 | Geel | 13008 | 56 count |
| Highest | 10 | Beringen | 71004 | 55 count |
| Lowest | 503 | Viroinval | 93090 | 0 count |
| Lowest | 503 | Onhaye | 91103 | 0 count |
| Lowest | 503 | Rouvroy | 85047 | 0 count |
| Lowest | 503 | Habay | 85046 | 0 count |
| Lowest | 503 | Virton | 85045 | 0 count |
| Lowest | 503 | Florenville | 85011 | 0 count |
| Lowest | 503 | Herstappe | 73028 | 0 count |
| Lowest | 503 | Lincent | 64047 | 0 count |
| Lowest | 503 | Crisnée | 64021 | 0 count |
| Lowest | 503 | Berloz | 64008 | 0 count |
Method and limitations
Method and limitations
No missing value is imputed. Where colour classes are used, their breaks and colours come from the catalogue; source-declared suppression remains missing.
The area mean gives every published geographic area equal weight. It is not weighted by population, exposure or area size.
Sum of the four published monthly observations January-April 2026; deliberately labelled YTD, not a complete year.
Year to date through month 4; not comparable with complete calendar years.
Read the methodologySources, licence and provenance