Belgiumin MapsOfficial 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
Centenarians
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
- 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
- 0–0.2565 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 0–0.2 | 565 |
Explore this exact slice in the atlas
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.
| Position | # | Area | Official code | Value |
|---|---|---|---|---|
| Highest | 1 | Horebeke | 45062 | 0.2 % |
| Highest | 2 | Maarkedal | 45064 | 0.2 % |
| Highest | 3 | Tinlot | 61081 | 0.1 % |
| Highest | 4 | Sint-Martens-Latem | 44064 | 0.1 % |
| Highest | 4 | Bièvre | 91015 | 0.1 % |
| Highest | 6 | Woluwe-Saint-Pierre | 21019 | 0.1 % |
| Highest | 6 | Kraainem | 23099 | 0.1 % |
| Highest | 6 | Oudenburg | 35014 | 0.1 % |
| Highest | 6 | Ardooie | 37020 | 0.1 % |
| Highest | 6 | Spa | 63072 | 0.1 % |
| Lowest | 486 | Doische | 93018 | 0 % |
| Lowest | 486 | Cerfontaine | 93010 | 0 % |
| Lowest | 486 | Ohey | 92097 | 0 % |
| Lowest | 486 | Eghezée | 92035 | 0 % |
| Lowest | 486 | Assesse | 92006 | 0 % |
| Lowest | 486 | Somme-Leuze | 91120 | 0 % |
| Lowest | 486 | Onhaye | 91103 | 0 % |
| Lowest | 486 | Gedinne | 91054 | 0 % |
| Lowest | 486 | Habay | 85046 | 0 % |
| Lowest | 486 | Tintigny | 85039 | 0 % |
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.
Reference population on 1 January.
Read the methodologySources, licence and provenance