Belgiumin Maps

Official Belgian data, explained

Share: Women by municipality in Belgium (2026)

This page maps Share: Women for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Population

What this indicator measures

Women

Official Statbel measure for Women.

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
Measure
Share
Unit
%
Comparable areas
565
Coverage
100%

Latest published slice

How to read the pattern

Median
50.6%
Unweighted area mean
50.6%
Minimum
47.2%
Maximum
53.8%

Across the valid national comparison set, the median is 50.6 %. Values extend from 47.2 to 53.8 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Share: Women, 2026. Exact official boundaries; missing values remain neutral.
  1. 39.7–50112 areas
  2. 50–50.4112 areas
  3. 50.4–50.8126 areas
  4. 50.8–51.3109 areas
  5. 51.3–54.7106 areas
Share: Women, 2026. Exact official boundaries; missing values remain neutral.

Categories

Distribution by official map class

Distribution by official map classOne bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.11239.7–5011250–50.412650.4–50.810950.8–51.310651.3–54.7LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
39.7–50112
50–50.4112
50.4–50.8126
50.8–51.3109
51.3–54.7106

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.

Highest and lowest values
Position#AreaOfficial codeValue
Highest1Watermael-Boitsfort2101753.8 %
Highest2Uccle2101653.5 %
Highest3Woluwe-Saint-Lambert2101853.4 %
Highest4Woluwe-Saint-Pierre2101953.1 %
Highest5Fléron6203852.9 %
Highest6Montigny-le-Tilleul5204852.9 %
Highest7Waterloo2511052.7 %
Highest8Waremme6407452.6 %
Highest9Drogenbos2309852.6 %
Highest10Nivelles2507252.5 %
Lowest565Vresse-sur-Semois9114347.2 %
Lowest564Herstappe7302847.4 %
Lowest563Saint-Josse-ten-Noode2101447.7 %
Lowest562Herbeumont8402948 %
Lowest561Hastière9114248 %
Lowest560Houffalize8201448.3 %
Lowest559Bullange6301248.4 %
Lowest558Faimes6407648.5 %
Lowest557Vleteren3304148.5 %
Lowest556Baarle-Hertog1300248.6 %

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.

Reference population on 1 January.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance