Belgiumin MapsOfficial 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.
Party fragmentation. 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
- 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
- 61.3–77.7117 areas
- 77.7–79.6113 areas
- 79.6–81122 areas
- 81–82.5118 areas
- 82.5–89.6111 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 61.3–77.7 | 117 | |
| 77.7–79.6 | 113 | |
| 79.6–81 | 122 | |
| 81–82.5 | 118 | |
| 82.5–89.6 | 111 |
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.
| Position | # | Area | Official code | Value |
|---|---|---|---|---|
| Highest | 1 | Drogenbos | 23098 | 89.6 % |
| Highest | 2 | Wemmel | 23102 | 89.4 % |
| Highest | 3 | Linkebeek | 23100 | 86.7 % |
| Highest | 4 | Jette | 21010 | 86.6 % |
| Highest | 5 | Bever | 23009 | 86.5 % |
| Highest | 6 | Wezembeek-Oppem | 23103 | 86.4 % |
| Highest | 7 | Beersel | 23003 | 85.8 % |
| Highest | 8 | Ganshoren | 21008 | 85.6 % |
| Highest | 9 | Berchem-Sainte-Agathe | 21003 | 85.6 % |
| Highest | 10 | Zaventem | 23094 | 85.4 % |
| Lowest | 581 | Lasne | 25119 | 61.3 % |
| Lowest | 580 | Rouvroy | 85047 | 64.6 % |
| Lowest | 579 | Bièvre | 91015 | 65.3 % |
| Lowest | 578 | Crisnée | 64021 | 67.8 % |
| Lowest | 577 | Jalhay | 63038 | 68.4 % |
| Lowest | 576 | Cerfontaine | 93010 | 69.3 % |
| Lowest | 575 | Bertrix | 84009 | 69.3 % |
| Lowest | 574 | Bastogne | 82003 | 70 % |
| Lowest | 573 | Thimister-Clermont | 63089 | 70.4 % |
| Lowest | 572 | Libramont-Chevigny | 84077 | 70.5 % |
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 methodologySources, licence and provenance
Sources, licence and provenance
- Licence
- CC BY 4.0