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Official Belgian data, explained

Share: Centenarians by municipality in Belgium (2026)

This page maps Share: Centenarians for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Population

What this indicator measures

Residents in the source's age 100+ category.

Official Statbel measure for Centenarians.

Share. Matching-category residents divided by total residents in the same area and reference date × 100.

Indicator dossier

Data passport

Selected reference period
2026
Geography
municipalities
Boundary set
Statistical sectors 2026
Measure
Share
Unit
%
Comparable areas
565
Coverage
100%

Latest published slice

How to read the pattern

Median
0%
Unweighted area mean
0%
Minimum
0%
Maximum
0.2%

Across the valid national comparison set, the median is 0 %. Values extend from 0 to 0.2 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Share: Centenarians, 2026. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 0–0.2565 areas
Share: Centenarians, 2026. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.

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.0681360–0: 80 areas0–0: 72 areas0–0: 136 areas0–0: 126 areas0–0: 64 areas0–0.1: 0 areas0.1–0.1: 39 areas0.1–0.1: 22 areas0.1–0.1: 13 areas0.1–0.1: 8 areas0.1–0.1: 2 areas0.1–0.1: 0 areas0.1–0.1: 0 areas0.1–0.1: 0 areas0.1–0.1: 0 areas0.1–0.1: 0 areas0.1–0.1: 1 area0.1–0.2: 0 areas0.2–0.2: 0 areas0.2–0.2: 0 areas0.2–0.2: 1 area0.2–0.2: 0 areas0.2–0.2: 0 areas0.2–0.2: 1 areaMedian · 000.2%Number 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
0–080
0–072
0–0136
0–0126
0–064
0–0.10
0.1–0.139
0.1–0.122
0.1–0.113
0.1–0.18
0.1–0.12
0.1–0.10
0.1–0.10
0.1–0.10
0.1–0.10
0.1–0.10
0.1–0.11
0.1–0.20
0.2–0.20
0.2–0.20
0.2–0.21
0.2–0.20
0.2–0.20
0.2–0.21

Explore this exact slice in the atlas Download this data as CSV

municipalities

Highest and lowest values

From 565 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.

Highest and lowest values
Highest1Horebeke450620.2 %
Highest2Maarkedal450640.2 %
Highest3Tinlot610810.1 %
Highest4Sint-Martens-Latem440640.1 %
Highest4Bièvre910150.1 %
Highest6Woluwe-Saint-Pierre210190.1 %
Highest6Kraainem230990.1 %
Highest6Oudenburg350140.1 %
Highest6Ardooie370200.1 %
Highest6Spa630720.1 %
Lowest486Doische930180 %
Lowest486Cerfontaine930100 %
Lowest486Ohey920970 %
Lowest486Eghezée920350 %
Lowest486Assesse920060 %
Lowest486Somme-Leuze911200 %
Lowest486Onhaye911030 %
Lowest486Gedinne910540 %
Lowest486Habay850460 %
Lowest486Tintigny850390 %

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.

Reference population on 1 January.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance

Data topic · Population

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