Official Belgian data, explained
Sex ratio by municipality in Belgium (2026)
This page maps Sex ratio for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Population
What this indicator measures
Men divided by women × 100.
Official Statbel measure for Sex ratio.
Indicator dossier
Data passport
- Selected reference period
- 2026
- Geography
- municipalities
- Boundary set
- Statistical sectors 2026
- Measure
- Ratio
- Unit
- per 100 women
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 97.7per 100 women
- Unweighted area mean
- 97.7per 100 women
- Minimum
- 85.9per 100 women
- Maximum
- 112per 100 women
Across the valid national comparison set, the median is 97.7 per 100 women. Values extend from 85.9 to 112 per 100 women. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 82.9–94.899 areas
- 94.8–96.8110 areas
- 96.8–98.3123 areas
- 98.3–100.1125 areas
- 100.1–151.6108 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 85.9–87 | 1 |
| 87–88.1 | 2 |
| 88.1–89.2 | 3 |
| 89.2–90.3 | 2 |
| 90.3–91.4 | 4 |
| 91.4–92.5 | 15 |
| 92.5–93.5 | 15 |
| 93.5–94.6 | 50 |
| 94.6–95.7 | 52 |
| 95.7–96.8 | 66 |
| 96.8–97.9 | 90 |
| 97.9–99 | 86 |
| 99–100.1 | 71 |
| 100.1–101.2 | 41 |
| 101.2–102.2 | 25 |
| 102.2–103.3 | 21 |
| 103.3–104.4 | 7 |
| 104.4–105.5 | 3 |
| 105.5–106.6 | 4 |
| 106.6–107.7 | 2 |
| 107.7–108.8 | 2 |
| 108.8–109.9 | 1 |
| 109.9–111 | 1 |
| 111–112 | 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 | Vresse-sur-Semois | 91143 | 112 per 100 women |
|---|---|---|---|---|
| Highest | 2 | Herstappe | 73028 | 110.8 per 100 women |
| Highest | 3 | Saint-Josse-ten-Noode | 21014 | 109.7 per 100 women |
| Highest | 4 | Herbeumont | 84029 | 108.6 per 100 women |
| Highest | 5 | Hastière | 91142 | 108.3 per 100 women |
| Highest | 6 | Houffalize | 82014 | 107 per 100 women |
| Highest | 7 | Bullange | 63012 | 106.7 per 100 women |
| Highest | 8 | Faimes | 64076 | 106.3 per 100 women |
| Highest | 9 | Vleteren | 33041 | 106.2 per 100 women |
| Highest | 10 | Baarle-Hertog | 13002 | 105.9 per 100 women |
| Lowest | 565 | Watermael-Boitsfort | 21017 | 85.9 per 100 women |
| Lowest | 564 | Uccle | 21016 | 87 per 100 women |
| Lowest | 563 | Woluwe-Saint-Lambert | 21018 | 87.2 per 100 women |
| Lowest | 562 | Woluwe-Saint-Pierre | 21019 | 88.5 per 100 women |
| Lowest | 561 | Fléron | 62038 | 89.1 per 100 women |
| Lowest | 560 | Montigny-le-Tilleul | 52048 | 89.2 per 100 women |
| Lowest | 559 | Waterloo | 25110 | 89.9 per 100 women |
| Lowest | 558 | Waremme | 64074 | 90.1 per 100 women |
| Lowest | 557 | Drogenbos | 23098 | 90.3 per 100 women |
| Lowest | 556 | Nivelles | 25072 | 90.6 per 100 women |
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