Belgiumin Maps

Official Belgian data, explained

Winning party share by municipality in Belgium (2024)

This page maps Winning party share for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Elections

What this indicator measures

Largest reviewed party-family vote total divided by all valid party-list votes, times 100.

Winning party share. Largest reviewed party-family vote total divided by all valid party-list votes, times 100.

Indicator dossier

Data passport

Selected reference period
2024
Geography
municipalities
Measure
Winning party share
Unit
%
Comparable areas
581
Coverage
100%

Latest published slice

How to read the pattern

Median
30.2%
Unweighted area mean
31.1%
Minimum
18.9%
Maximum
58.9%

Across the valid national comparison set, the median is 30.2 %. Values extend from 18.9 to 58.9 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Winning party share, 2024. Exact official boundaries; missing values remain neutral.
  1. 18.9–26.3118 areas
  2. 26.3–28.6113 areas
  3. 28.6–31.7119 areas
  4. 31.7–35.7112 areas
  5. 35.7–58.9119 areas
Winning party share, 2024. 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.11818.9–26.311326.3–28.611928.6–31.711231.7–35.711935.7–58.9LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
18.9–26.3118
26.3–28.6113
28.6–31.7119
31.7–35.7112
35.7–58.9119

Explore this exact slice in the atlas

municipalities

Highest and lowest values

From 581 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
Highest1Lasne2511958.9 %
Highest2Rouvroy8504755.4 %
Highest3Bièvre9101555 %
Highest4Crisnée6402152.5 %
Highest5Jalhay6303852.2 %
Highest6Cerfontaine9301050.7 %
Highest7Schilde1103948.9 %
Highest8Bertrix8400948.4 %
Highest9Waterloo2511048.2 %
Highest10Thimister-Clermont6308948 %
Lowest581Bever2300918.9 %
Lowest580Wemmel2310219.2 %
Lowest579Jette2101019.6 %
Lowest578Forest2100720 %
Lowest577Ronse4504120.2 %
Lowest576Drogenbos2309820.8 %
Lowest575Schaerbeek2101521.1 %
Lowest574Zaventem2309421.1 %
Lowest573Brugge3100521.1 %
Lowest572Spiere-Helkijn3404321.5 %

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.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance