Belgiumin MapsOfficial Belgian data, explained
Fatalities within 30 days by municipality in Belgium (2025)
This page maps Fatalities within 30 days for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Road safety
What this indicator measures
Fatalities within 30 days
Additive count from Statbel field MS_DEAD_30_DAYS; zero is retained as data.
Count. Fatalities within 30 days
Indicator dossier
Data passport
- Selected reference period
- 2025
- Geography
- municipalities
- Measure
- Count
- Unit
- persons
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 0persons
- Unweighted area mean
- 1persons
- Minimum
- 0persons
- Maximum
- 11persons
Across the valid national comparison set, the median is 0 persons. Values extend from 0 to 11 persons. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 0–1300 areas
- 1–2161 areas
- 2–11104 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 0–1 | 300 | |
| 1–2 | 161 | |
| 2–11 | 104 |
Explore this exact slice in the atlas
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.
| Position | # | Area | Official code | Value |
|---|---|---|---|---|
| Highest | 1 | Antwerpen | 11002 | 11 persons |
| Highest | 1 | Bruxelles | 21004 | 11 persons |
| Highest | 3 | Gent | 44021 | 8 persons |
| Highest | 3 | Tournai | 57081 | 8 persons |
| Highest | 5 | Beveren-Kruibeke-Zwijndrecht | 46030 | 7 persons |
| Highest | 5 | Charleroi | 52011 | 7 persons |
| Highest | 5 | Mons | 53053 | 7 persons |
| Highest | 8 | Temse | 46025 | 6 persons |
| Highest | 8 | Zonhoven | 71066 | 6 persons |
| Highest | 10 | Ath | 51004 | 5 persons |
| Lowest | 266 | Viroinval | 93090 | 0 persons |
| Lowest | 266 | Doische | 93018 | 0 persons |
| Lowest | 266 | Couvin | 93014 | 0 persons |
| Lowest | 266 | Cerfontaine | 93010 | 0 persons |
| Lowest | 266 | La Bruyère | 92141 | 0 persons |
| Lowest | 266 | Ohey | 92097 | 0 persons |
| Lowest | 266 | Fosses-la-Ville | 92048 | 0 persons |
| Lowest | 266 | Floreffe | 92045 | 0 persons |
| Lowest | 266 | Vresse-sur-Semois | 91143 | 0 persons |
| Lowest | 266 | Rochefort | 91114 | 0 persons |
Method and limitations
Method and limitations
No missing value is imputed. Classification breaks and colours come from the catalogue, and 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