Official Belgian data, explained
Seriously injured persons by municipality in Belgium (2025)
This page maps Seriously injured persons 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 seriously injured persons, filterable by the published accident context dimensions.
Additive count from Statbel field MS_SERLY_INJ; zero is retained as data.
Count. Seriously injured persons
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
- 3persons
- Unweighted area mean
- 6persons
- Minimum
- 0persons
- Maximum
- 161persons
Across the valid national comparison set, the median is 3 persons. Values extend from 0 to 161 persons. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 161circle area
- 3circle area
- 1circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 0–7 | 417 |
| 7–13 | 105 |
| 13–20 | 23 |
| 20–27 | 11 |
| 27–34 | 2 |
| 34–40 | 1 |
| 40–47 | 1 |
| 47–54 | 2 |
| 54–60 | 0 |
| 60–67 | 1 |
| 67–74 | 0 |
| 74–81 | 0 |
| 81–87 | 0 |
| 87–94 | 0 |
| 94–101 | 1 |
| 101–107 | 0 |
| 107–114 | 0 |
| 114–121 | 0 |
| 121–127 | 0 |
| 127–134 | 0 |
| 134–141 | 0 |
| 141–148 | 0 |
| 148–154 | 0 |
| 154–161 | 1 |
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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 | 161 persons |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 95 persons |
| Highest | 3 | Bruxelles | 21004 | 62 persons |
| Highest | 4 | Sint-Niklaas | 46021 | 51 persons |
| Highest | 5 | Brugge | 31005 | 47 persons |
| Highest | 6 | Beveren-Kruibeke-Zwijndrecht | 46030 | 45 persons |
| Highest | 7 | Anderlecht | 21001 | 34 persons |
| Highest | 8 | Tournai | 57081 | 31 persons |
| Highest | 9 | Charleroi | 52011 | 29 persons |
| Highest | 10 | Kortrijk | 34022 | 26 persons |
| Lowest | 488 | La Bruyère | 92141 | 0 persons |
| Lowest | 488 | Ohey | 92097 | 0 persons |
| Lowest | 488 | Hastière | 91142 | 0 persons |
| Lowest | 488 | Somme-Leuze | 91120 | 0 persons |
| Lowest | 488 | Onhaye | 91103 | 0 persons |
| Lowest | 488 | Havelange | 91064 | 0 persons |
| Lowest | 488 | Bièvre | 91015 | 0 persons |
| Lowest | 488 | Anhée | 91005 | 0 persons |
| Lowest | 488 | Habay | 85046 | 0 persons |
| Lowest | 488 | Tintigny | 85039 | 0 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