Belgiumin MapsOfficial Belgian data, explained
Blank/invalid ballot share by municipality in Belgium (2024)
This page maps Blank/invalid ballot share for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Elections
What this indicator measures
API blank-vote field divided by valid party-list votes plus that field, times 100.
Blank/invalid ballot share. API blank-vote field divided by valid party-list votes plus that field, times 100.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- municipalities
- Measure
- Blank/invalid ballot share
- Unit
- %
- Comparable areas
- 575
- Coverage
- 99%
Latest published slice
How to read the pattern
- Median
- 5.1%
- Unweighted area mean
- 6.1%
- Minimum
- 1.3%
- Maximum
- 23.2%
Across the valid national comparison set, the median is 5.1 %. Values extend from 1.3 to 23.2 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 1.3–3.9118 areas
- 3.9–4.6103 areas
- 4.6–6122 areas
- 6–8.4115 areas
- 8.4–23.2117 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 1.3–3.9 | 118 | |
| 3.9–4.6 | 103 | |
| 4.6–6 | 122 | |
| 6–8.4 | 115 | |
| 8.4–23.2 | 117 |
Explore this exact slice in the atlas
municipalities
Highest and lowest values
From 575 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 | Burg-Reuland | 63087 | 23.2 % |
| Highest | 2 | Amblève | 63001 | 19.1 % |
| Highest | 3 | Saint-Vith | 63067 | 18.8 % |
| Highest | 4 | Butgenbach | 63013 | 18.1 % |
| Highest | 5 | Bullange | 63012 | 17.7 % |
| Highest | 6 | Comines-Warneton | 57097 | 15.4 % |
| Highest | 7 | Colfontaine | 53082 | 15.3 % |
| Highest | 8 | Daverdisse | 84016 | 14.8 % |
| Highest | 9 | Raeren | 63061 | 14.4 % |
| Highest | 10 | Aubange | 81004 | 13.5 % |
| Lowest | 575 | Hove | 11021 | 1.3 % |
| Lowest | 574 | Schilde | 11039 | 1.6 % |
| Lowest | 573 | Sint-Martens-Latem | 44064 | 1.9 % |
| Lowest | 572 | De Pinte | 44012 | 2 % |
| Lowest | 571 | Lint | 11025 | 2.2 % |
| Lowest | 570 | Zoersel | 11055 | 2.2 % |
| Lowest | 569 | Kontich | 11024 | 2.2 % |
| Lowest | 568 | Lubbeek | 24066 | 2.2 % |
| Lowest | 567 | Edegem | 11013 | 2.3 % |
| Lowest | 566 | Lasne | 25119 | 2.4 % |
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