Official Belgian data, explained
Accidents with serious injury by municipality in Belgium (2025)
This page maps Accidents with serious injury 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 accidents with serious injury, filterable by the published accident context dimensions.
Additive count from Statbel field MS_ACCT_WITH_SERLY_INJ; zero is retained as data.
Count. Accidents with serious injury
Indicator dossier
Data passport
- Selected reference period
- 2025
- Geography
- municipalities
- Boundary set
- Statistical sectors 2025
- Measure
- Count
- Unit
- accidents
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 3accidents
- Unweighted area mean
- 5accidents
- Minimum
- 0accidents
- Maximum
- 149accidents
Across the valid national comparison set, the median is 3 accidents. Values extend from 0 to 149 accidents. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 149circle area
- 3circle area
- 1circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 0–6 | 432 |
| 6–12 | 87 |
| 12–19 | 24 |
| 19–25 | 10 |
| 25–31 | 5 |
| 31–37 | 1 |
| 37–43 | 1 |
| 43–50 | 2 |
| 50–56 | 0 |
| 56–62 | 1 |
| 62–68 | 0 |
| 68–75 | 0 |
| 75–81 | 0 |
| 81–87 | 0 |
| 87–93 | 1 |
| 93–99 | 0 |
| 99–106 | 0 |
| 106–112 | 0 |
| 112–118 | 0 |
| 118–124 | 0 |
| 124–130 | 0 |
| 130–137 | 0 |
| 137–143 | 0 |
| 143–149 | 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 | 149 accidents |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 92 accidents |
| Highest | 3 | Bruxelles | 21004 | 61 accidents |
| Highest | 4 | Sint-Niklaas | 46021 | 48 accidents |
| Highest | 5 | Brugge | 31005 | 44 accidents |
| Highest | 6 | Beveren-Kruibeke-Zwijndrecht | 46030 | 43 accidents |
| Highest | 7 | Anderlecht | 21001 | 34 accidents |
| Highest | 8 | Charleroi | 52011 | 27 accidents |
| Highest | 8 | Tournai | 57081 | 27 accidents |
| Highest | 10 | Mechelen | 12025 | 25 accidents |
| Lowest | 483 | Florennes | 93022 | 0 accidents |
| Lowest | 483 | La Bruyère | 92141 | 0 accidents |
| Lowest | 483 | Ohey | 92097 | 0 accidents |
| Lowest | 483 | Hastière | 91142 | 0 accidents |
| Lowest | 483 | Yvoir | 91141 | 0 accidents |
| Lowest | 483 | Somme-Leuze | 91120 | 0 accidents |
| Lowest | 483 | Onhaye | 91103 | 0 accidents |
| Lowest | 483 | Havelange | 91064 | 0 accidents |
| Lowest | 483 | Bièvre | 91015 | 0 accidents |
| Lowest | 483 | Anhée | 91005 | 0 accidents |
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