Belgiumin MapsOfficial Belgian data, explained
Effective number of parties by municipality in Belgium (2024)
This page maps Effective number of parties for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Elections
What this indicator measures
Laakso-Taagepera effective number: 1 divided by the sum of squared valid-vote shares across reviewed party families.
Effective number of parties. Laakso-Taagepera effective number: 1 divided by the sum of squared valid-vote shares across reviewed party families.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- municipalities
- Measure
- Effective number of parties
- Unit
- parties
- Comparable areas
- 581
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 5.09parties
- Unweighted area mean
- 5.09parties
- Minimum
- 2.58parties
- Maximum
- 9.66parties
Across the valid national comparison set, the median is 5.09 parties. Values extend from 2.58 to 9.66 parties. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 2.58–4.48117 areas
- 4.48–4.9112 areas
- 4.9–5.25120 areas
- 5.25–5.7112 areas
- 5.7–9.66120 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 2.58–4.48 | 117 | |
| 4.48–4.9 | 112 | |
| 4.9–5.25 | 120 | |
| 5.25–5.7 | 112 | |
| 5.7–9.66 | 120 |
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 | 9.66 parties |
| Highest | 2 | Wemmel | 23102 | 9.47 parties |
| Highest | 3 | Linkebeek | 23100 | 7.53 parties |
| Highest | 4 | Jette | 21010 | 7.45 parties |
| Highest | 5 | Bever | 23009 | 7.4 parties |
| Highest | 6 | Wezembeek-Oppem | 23103 | 7.37 parties |
| Highest | 7 | Beersel | 23003 | 7.07 parties |
| Highest | 8 | Ganshoren | 21008 | 6.94 parties |
| Highest | 9 | Berchem-Sainte-Agathe | 21003 | 6.92 parties |
| Highest | 10 | Zaventem | 23094 | 6.87 parties |
| Lowest | 581 | Lasne | 25119 | 2.58 parties |
| Lowest | 580 | Rouvroy | 85047 | 2.83 parties |
| Lowest | 579 | Bièvre | 91015 | 2.88 parties |
| Lowest | 578 | Crisnée | 64021 | 3.11 parties |
| Lowest | 577 | Jalhay | 63038 | 3.16 parties |
| Lowest | 576 | Cerfontaine | 93010 | 3.26 parties |
| Lowest | 575 | Bertrix | 84009 | 3.26 parties |
| Lowest | 574 | Bastogne | 82003 | 3.34 parties |
| Lowest | 573 | Thimister-Clermont | 63089 | 3.38 parties |
| Lowest | 572 | Libramont-Chevigny | 84077 | 3.39 parties |
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