Official Belgian data, explained
Uninjured persons by municipality in Belgium (2025)
This page maps Uninjured 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 uninjured persons, filterable by the published accident context dimensions.
Additive count from Statbel field MS_VIC_OK; zero is retained as data.
Count. Uninjured 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
- 33persons
- Unweighted area mean
- 67persons
- Minimum
- 0persons
- Maximum
- 3,262persons
Across the valid national comparison set, the median is 33 persons. Values extend from 0 to 3,262 persons. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 3,262circle area
- 33circle area
- 15circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 0–136 | 516 |
| 136–272 | 30 |
| 272–408 | 11 |
| 408–544 | 2 |
| 544–680 | 1 |
| 680–816 | 1 |
| 816–951 | 1 |
| 951–1,087 | 0 |
| 1,087–1,223 | 1 |
| 1,223–1,359 | 1 |
| 1,359–1,495 | 0 |
| 1,495–1,631 | 0 |
| 1,631–1,767 | 0 |
| 1,767–1,903 | 0 |
| 1,903–2,039 | 0 |
| 2,039–2,175 | 0 |
| 2,175–2,311 | 0 |
| 2,311–2,447 | 0 |
| 2,447–2,582 | 0 |
| 2,582–2,718 | 0 |
| 2,718–2,854 | 0 |
| 2,854–2,990 | 0 |
| 2,990–3,126 | 0 |
| 3,126–3,262 | 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 | 3,262 persons |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 1,318 persons |
| Highest | 3 | Bruxelles | 21004 | 1,165 persons |
| Highest | 4 | Liège | 62063 | 859 persons |
| Highest | 5 | Charleroi | 52011 | 780 persons |
| Highest | 6 | Brugge | 31005 | 570 persons |
| Highest | 7 | Anderlecht | 21001 | 446 persons |
| Highest | 8 | Sint-Niklaas | 46021 | 425 persons |
| Highest | 9 | Leuven | 24062 | 394 persons |
| Highest | 10 | Namur | 92094 | 385 persons |
| Lowest | 565 | Herstappe | 73028 | 0 persons |
| Lowest | 562 | Hamoir | 61024 | 1 persons |
| Lowest | 562 | Mesen | 33016 | 1 persons |
| Lowest | 562 | Bever | 23009 | 1 persons |
| Lowest | 559 | Rouvroy | 85047 | 2 persons |
| Lowest | 559 | Meix-devant-Virton | 85024 | 2 persons |
| Lowest | 559 | Kortenaken | 24054 | 2 persons |
| Lowest | 553 | Rendeux | 83044 | 3 persons |
| Lowest | 553 | Wasseiges | 64075 | 3 persons |
| Lowest | 553 | Lierneux | 63045 | 3 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