Official Belgian data, explained

Selected party votes — Party: N-VA by municipality in Belgium (2024)

This page maps Selected party votes — 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

Valid party-list votes for the selected reviewed party family.

Indicator dossier

Data passport

Selected reference period
2024
Geography
municipalities
Boundary set
Statistical sectors 2024
Measure
Selected party votes
Unit
votes
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
880votes
Unweighted area mean
1,990.36votes
Minimum
5votes
Maximum
76,828votes

Across the valid national comparison set, the median is 880 votes. Values extend from 5 to 76,828 votes. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Selected party votes — Party: N-VA, 2024. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.
  1. 76,828circle area
  2. 880circle area
  3. 117circle area
Selected party votes — Party: N-VA, 2024. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.

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.02294575–3,205.96: 457 areas3,205.96–6,406.92: 94 areas6,406.92–9,607.88: 18 areas9,607.88–12,808.83: 6 areas12,808.83–16,009.79: 3 areas16,009.79–19,210.75: 1 area19,210.75–22,411.71: 0 areas22,411.71–25,612.67: 0 areas25,612.67–28,813.63: 1 area28,813.63–32,014.58: 0 areas32,014.58–35,215.54: 0 areas35,215.54–38,416.5: 0 areas38,416.5–41,617.46: 0 areas41,617.46–44,818.42: 0 areas44,818.42–48,019.38: 0 areas48,019.38–51,220.33: 0 areas51,220.33–54,421.29: 0 areas54,421.29–57,622.25: 0 areas57,622.25–60,823.21: 0 areas60,823.21–64,024.17: 0 areas64,024.17–67,225.13: 0 areas67,225.13–70,426.08: 0 areas70,426.08–73,627.04: 0 areas73,627.04–76,828: 1 areaMedian · 880576,828votesNumber 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
5–3,205.96457
3,205.96–6,406.9294
6,406.92–9,607.8818
9,607.88–12,808.836
12,808.83–16,009.793
16,009.79–19,210.751
19,210.75–22,411.710
22,411.71–25,612.670
25,612.67–28,813.631
28,813.63–32,014.580
32,014.58–35,215.540
35,215.54–38,416.50
38,416.5–41,617.460
41,617.46–44,818.420
44,818.42–48,019.380
48,019.38–51,220.330
51,220.33–54,421.290
54,421.29–57,622.250
57,622.25–60,823.210
60,823.21–64,024.170
64,024.17–67,225.130
67,225.13–70,426.080
70,426.08–73,627.040
73,627.04–76,8281

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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
Highest1Antwerpen1100276,828 votes
Highest2Gent4402126,823 votes
Highest3Brugge3100516,846 votes
Highest4Hasselt7102214,609 votes
Highest5Aalst4100214,067 votes
Highest6Mechelen1202512,824 votes
Highest7Leuven2406212,614 votes
Highest8Kortrijk3402212,379 votes
Highest9Sint-Niklaas4602111,717 votes
Highest10Brasschaat1100810,411 votes
Lowest581Herstappe730285 votes
Lowest580Rouvroy8504713 votes
Lowest579Stoumont6307514 votes
Lowest578Daverdisse8401618 votes
Lowest577Tinlot6108122 votes
Lowest576Wasseiges6407523 votes
Lowest575Ouffet6104824 votes
Lowest574Burdinne6101025 votes
Lowest573Faimes6407626 votes
Lowest570Onhaye9110328 votes

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