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Official Belgian data, explained

Party fragmentation by municipality in Belgium (2024)

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

Elections

What this indicator measures

Rae fractionalisation: one minus the sum of squared valid-vote shares across reviewed party families, times 100.

Indicator dossier

Data passport

Selected reference period
2024
Geography
municipalities
Boundary set
Statistical sectors 2024
Measure
Party fragmentation
Unit
%
Comparable areas
581
Coverage
100%

Latest published slice

How to read the pattern

Median
80.3%
Unweighted area mean
79.9%
Minimum
61.3%
Maximum
89.6%

Across the valid national comparison set, the median is 80.3 %. Values extend from 61.3 to 89.6 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Party fragmentation, 2024. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 61.3–77.7117 areas
  2. 77.7–79.6113 areas
  3. 79.6–81122 areas
  4. 81–82.5118 areas
  5. 82.5–89.6111 areas
Party fragmentation, 2024. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.

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.05110261.3–62.5: 1 area62.5–63.6: 0 areas63.6–64.8: 1 area64.8–66: 1 area66–67.2: 0 areas67.2–68.4: 1 area68.4–69.6: 3 areas69.6–70.7: 5 areas70.7–71.9: 5 areas71.9–73.1: 6 areas73.1–74.3: 11 areas74.3–75.5: 20 areas75.5–76.6: 27 areas76.6–77.8: 41 areas77.8–79: 72 areas79–80.2: 88 areas80.2–81.4: 102 areas81.4–82.6: 94 areas82.6–83.7: 60 areas83.7–84.9: 23 areas84.9–86.1: 14 areas86.1–87.3: 4 areas87.3–88.5: 0 areas88.5–89.6: 2 areasMedian · 80.361.389.6%Number 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
61.3–62.51
62.5–63.60
63.6–64.81
64.8–661
66–67.20
67.2–68.41
68.4–69.63
69.6–70.75
70.7–71.95
71.9–73.16
73.1–74.311
74.3–75.520
75.5–76.627
76.6–77.841
77.8–7972
79–80.288
80.2–81.4102
81.4–82.694
82.6–83.760
83.7–84.923
84.9–86.114
86.1–87.34
87.3–88.50
88.5–89.62

Explore this exact slice in the atlas Download this data as CSV

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
Highest1Drogenbos2309889.6 %
Highest2Wemmel2310289.4 %
Highest3Linkebeek2310086.7 %
Highest4Jette2101086.6 %
Highest5Bever2300986.5 %
Highest6Wezembeek-Oppem2310386.4 %
Highest7Beersel2300385.8 %
Highest8Ganshoren2100885.6 %
Highest9Berchem-Sainte-Agathe2100385.6 %
Highest10Zaventem2309485.4 %
Lowest581Lasne2511961.3 %
Lowest580Rouvroy8504764.6 %
Lowest579Bièvre9101565.3 %
Lowest578Crisnée6402167.8 %
Lowest577Jalhay6303868.4 %
Lowest576Cerfontaine9301069.3 %
Lowest575Bertrix8400969.3 %
Lowest574Bastogne8200370 %
Lowest573Thimister-Clermont6308970.4 %
Lowest572Libramont-Chevigny8407770.5 %

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.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance

Data topic · Elections

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