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Official 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

Official Statbel fatalities within 30 days, filterable by the published accident context dimensions.

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
Boundary set
Statistical sectors 2025
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

Fatalities within 30 days, 2025. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.
  1. 11circle area
Fatalities within 30 days, 2025. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.

Areas

Value distribution

Value distributionHistogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.01503000–0: 300 areas0–1: 0 areas1–1: 161 areas1–2: 0 areas2–2: 67 areas2–3: 0 areas3–3: 16 areas3–4: 0 areas4–4: 10 areas4–5: 0 areas5–5: 2 areas5–6: 0 areas6–6: 0 areas6–6: 2 areas6–7: 0 areas7–7: 3 areas7–8: 0 areas8–8: 2 areas8–9: 0 areas9–9: 0 areas9–10: 0 areas10–10: 0 areas10–11: 0 areas11–11: 2 areasMedian · 0011personsNumber of areas
Histogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.
ValueAreas
0–0300
0–10
1–1161
1–20
2–267
2–30
3–316
3–40
4–410
4–50
5–52
5–60
6–60
6–62
6–70
7–73
7–80
8–82
8–90
9–90
9–100
10–100
10–110
11–112

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 and lowest values
Highest1Antwerpen1100211 persons
Highest1Bruxelles2100411 persons
Highest3Gent440218 persons
Highest3Tournai570818 persons
Highest5Beveren-Kruibeke-Zwijndrecht460307 persons
Highest5Charleroi520117 persons
Highest5Mons530537 persons
Highest8Temse460256 persons
Highest8Zonhoven710666 persons
Highest10Ath510045 persons
Lowest266Viroinval930900 persons
Lowest266Doische930180 persons
Lowest266Couvin930140 persons
Lowest266Cerfontaine930100 persons
Lowest266La Bruyère921410 persons
Lowest266Ohey920970 persons
Lowest266Fosses-la-Ville920480 persons
Lowest266Floreffe920450 persons
Lowest266Vresse-sur-Semois911430 persons
Lowest266Rochefort911140 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 methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance

Data topic · Road safety

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