Official Belgian data, explained
Share: Men by municipality in Belgium (2026)
This page maps Share: Men for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Population
What this indicator measures
Residents in Statbel's M sex category.
Official Statbel measure for Men.
Share. Matching-category residents divided by total residents in the same area and reference date × 100.
Indicator dossier
Data passport
- Selected reference period
- 2026
- Geography
- municipalities
- Boundary set
- Statistical sectors 2026
- Measure
- Share
- Unit
- %
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 49.4%
- Unweighted area mean
- 49.4%
- Minimum
- 46.2%
- Maximum
- 52.8%
Across the valid national comparison set, the median is 49.4 %. Values extend from 46.2 to 52.8 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 45.3–48.7105 areas
- 48.7–49.2108 areas
- 49.2–49.6125 areas
- 49.6–50112 areas
- 50–60.3115 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 46.2–46.5 | 1 |
| 46.5–46.8 | 2 |
| 46.8–47 | 1 |
| 47–47.3 | 2 |
| 47.3–47.6 | 4 |
| 47.6–47.9 | 8 |
| 47.9–48.2 | 16 |
| 48.2–48.4 | 19 |
| 48.4–48.7 | 53 |
| 48.7–49 | 52 |
| 49–49.3 | 70 |
| 49.3–49.5 | 89 |
| 49.5–49.8 | 87 |
| 49.8–50.1 | 65 |
| 50.1–50.4 | 39 |
| 50.4–50.6 | 21 |
| 50.6–50.9 | 19 |
| 50.9–51.2 | 4 |
| 51.2–51.5 | 4 |
| 51.5–51.7 | 4 |
| 51.7–52 | 1 |
| 52–52.3 | 1 |
| 52.3–52.6 | 2 |
| 52.6–52.8 | 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 | Vresse-sur-Semois | 91143 | 52.8 % |
|---|---|---|---|---|
| Highest | 2 | Herstappe | 73028 | 52.6 % |
| Highest | 3 | Saint-Josse-ten-Noode | 21014 | 52.3 % |
| Highest | 4 | Herbeumont | 84029 | 52.1 % |
| Highest | 5 | Hastière | 91142 | 52 % |
| Highest | 6 | Houffalize | 82014 | 51.7 % |
| Highest | 7 | Bullange | 63012 | 51.6 % |
| Highest | 8 | Faimes | 64076 | 51.5 % |
| Highest | 9 | Vleteren | 33041 | 51.5 % |
| Highest | 10 | Baarle-Hertog | 13002 | 51.4 % |
| Lowest | 565 | Watermael-Boitsfort | 21017 | 46.2 % |
| Lowest | 564 | Uccle | 21016 | 46.5 % |
| Lowest | 563 | Woluwe-Saint-Lambert | 21018 | 46.6 % |
| Lowest | 562 | Woluwe-Saint-Pierre | 21019 | 46.9 % |
| Lowest | 561 | Fléron | 62038 | 47.1 % |
| Lowest | 560 | Montigny-le-Tilleul | 52048 | 47.1 % |
| Lowest | 559 | Waterloo | 25110 | 47.3 % |
| Lowest | 558 | Waremme | 64074 | 47.4 % |
| Lowest | 557 | Drogenbos | 23098 | 47.5 % |
| Lowest | 556 | Nivelles | 25072 | 47.5 % |
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.
Reference population on 1 January.
Read the methodologySources, licence and provenance