Official Belgian data, explained
Road casualties by municipality in Belgium (2025)
This page maps Road casualties for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Road safety
What this indicator measures
Official Statbel road casualties, filterable by the published accident context dimensions.
Additive count from Statbel field MS_VICT; zero is retained as data.
Count. Road casualties
Indicator dossier
Data passport
- Selected reference period
- 2025
- Geography
- municipalities
- Boundary set
- Statistical sectors 2025
- Measure
- Count
- Unit
- persons
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 79persons
- Unweighted area mean
- 148persons
- Minimum
- 0persons
- Maximum
- 6,701persons
Across the valid national comparison set, the median is 79 persons. Values extend from 0 to 6,701 persons. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 6,701circle area
- 79circle area
- 39circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 0–279 | 511 |
| 279–558 | 32 |
| 558–838 | 13 |
| 838–1,117 | 3 |
| 1,117–1,396 | 1 |
| 1,396–1,675 | 1 |
| 1,675–1,954 | 1 |
| 1,954–2,234 | 0 |
| 2,234–2,513 | 0 |
| 2,513–2,792 | 1 |
| 2,792–3,071 | 1 |
| 3,071–3,351 | 0 |
| 3,351–3,630 | 0 |
| 3,630–3,909 | 0 |
| 3,909–4,188 | 0 |
| 4,188–4,467 | 0 |
| 4,467–4,747 | 0 |
| 4,747–5,026 | 0 |
| 5,026–5,305 | 0 |
| 5,305–5,584 | 0 |
| 5,584–5,863 | 0 |
| 5,863–6,143 | 0 |
| 6,143–6,422 | 0 |
| 6,422–6,701 | 1 |
Explore this exact slice in the atlas Download this data as CSV
municipalities
Highest and lowest values
From 565 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Highest | 1 | Antwerpen | 11002 | 6,701 persons |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 2,823 persons |
| Highest | 3 | Bruxelles | 21004 | 2,702 persons |
| Highest | 4 | Liège | 62063 | 1,869 persons |
| Highest | 5 | Charleroi | 52011 | 1,573 persons |
| Highest | 6 | Brugge | 31005 | 1,203 persons |
| Highest | 7 | Sint-Niklaas | 46021 | 954 persons |
| Highest | 8 | Anderlecht | 21001 | 923 persons |
| Highest | 9 | Leuven | 24062 | 838 persons |
| Highest | 10 | Beveren-Kruibeke-Zwijndrecht | 46030 | 835 persons |
| Lowest | 565 | Herstappe | 73028 | 0 persons |
| Lowest | 564 | Mesen | 33016 | 2 persons |
| Lowest | 563 | Bever | 23009 | 4 persons |
| Lowest | 562 | Spiere-Helkijn | 34043 | 6 persons |
| Lowest | 560 | Meix-devant-Virton | 85024 | 7 persons |
| Lowest | 560 | Rendeux | 83044 | 7 persons |
| Lowest | 558 | Rouvroy | 85047 | 8 persons |
| Lowest | 558 | Daverdisse | 84016 | 8 persons |
| Lowest | 557 | Lierneux | 63045 | 9 persons |
| Lowest | 556 | Lint | 11025 | 10 persons |
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.
The source code domain matches the official boundary snapshot used by the map.
Read the methodologySources, licence and provenance
Sources, licence and provenance
- Licence
- CC BY 4.0