Official Belgian data, explained
Selected party vote share — Party: N-VA by municipality in Belgium (2024)
This page maps Selected party vote share — Party: N-VA for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Elections
What this indicator measures
Selected reviewed party-family votes divided by all valid party-list votes in the same native geography.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- municipalities
- Boundary set
- Statistical sectors 2024
- Measure
- Selected party vote share
- Unit
- %
- Comparable areas
- 581
- Coverage
- 100%
Indicator dossier
Selected slice
Exact catalogue filters applied to the map, statistics and comparison.
- Party
- N-VA
Latest published slice
How to read the pattern
- Median
- 15.5%
- Unweighted area mean
- 14.2%
- Minimum
- 0.7%
- Maximum
- 48.9%
Across the valid national comparison set, the median is 15.5 %. Values extend from 0.7 to 48.9 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 0–0.81 area
- 0.8–2.3199 areas
- 2.3–7.184 areas
- 7.1–16.815 areas
- 16.8–58.9282 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 0.7–6 | 284 |
| 6–11.4 | 2 |
| 11.4–16.8 | 12 |
| 16.8–22.1 | 62 |
| 22.1–27.5 | 123 |
| 27.5–32.8 | 65 |
| 32.8–38.2 | 21 |
| 38.2–43.6 | 11 |
| 43.6–48.9 | 1 |
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 | 1 | Schilde | 11039 | 48.9 % |
|---|---|---|---|---|
| Highest | 2 | Sint-Martens-Latem | 44064 | 42.3 % |
| Highest | 3 | Hove | 11021 | 42.1 % |
| Highest | 4 | Edegem | 11013 | 41.7 % |
| Highest | 5 | Brasschaat | 11008 | 41.5 % |
| Highest | 6 | Aartselaar | 11001 | 41.1 % |
| Highest | 7 | Zoersel | 11055 | 40.6 % |
| Highest | 8 | Kontich | 11024 | 39.8 % |
| Highest | 9 | Boechout | 11004 | 39.5 % |
| Highest | 10 | Knokke-Heist | 31043 | 39.2 % |
| Lowest | 581 | Stoumont | 63075 | 0.7 % |
| Lowest | 580 | Comblain-au-Pont | 62026 | 0.9 % |
| Lowest | 579 | Faimes | 64076 | 0.9 % |
| Lowest | 578 | Rouvroy | 85047 | 1 % |
| Lowest | 577 | Olne | 63057 | 1 % |
| Lowest | 576 | Herve | 63035 | 1.1 % |
| Lowest | 575 | Burdinne | 61010 | 1.1 % |
| Lowest | 574 | Ottignies-Louvain-la-Neuve | 25121 | 1.2 % |
| Lowest | 573 | Floreffe | 92045 | 1.2 % |
| Lowest | 572 | Theux | 63076 | 1.2 % |
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 methodologySources, licence and provenance
Sources, licence and provenance
- Licence
- CC BY 4.0