Official Belgian data, explained
Old-age dependency ratio by municipality in Belgium (2026)
This page maps Old-age dependency ratio for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Population
What this indicator measures
Residents aged 65+ divided by residents aged 15-64 × 100.
Official Statbel measure for Old-age dependency ratio.
Indicator dossier
Data passport
- Selected reference period
- 2026
- Geography
- municipalities
- Boundary set
- Statistical sectors 2026
- Measure
- Ratio
- Unit
- %
- Comparable areas
- 565
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 34.6%
- Unweighted area mean
- 34.8%
- Minimum
- 13.1%
- Maximum
- 99.8%
Across the valid national comparison set, the median is 34.6 %. Values extend from 13.1 to 99.8 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 10.5–25.238 areas
- 25.2–28.125 areas
- 28.1–30.655 areas
- 30.6–33.8128 areas
- 33.8–99.8319 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 13.1–16.7 | 7 |
| 16.7–20.4 | 6 |
| 20.4–24 | 12 |
| 24–27.6 | 31 |
| 27.6–31.2 | 85 |
| 31.2–34.8 | 148 |
| 34.8–38.4 | 155 |
| 38.4–42 | 78 |
| 42–45.6 | 18 |
| 45.6–49.3 | 15 |
| 49.3–52.9 | 2 |
| 52.9–56.5 | 1 |
| 56.5–60.1 | 0 |
| 60.1–63.7 | 0 |
| 63.7–67.3 | 1 |
| 67.3–70.9 | 2 |
| 70.9–74.5 | 1 |
| 74.5–78.2 | 1 |
| 78.2–81.8 | 1 |
| 81.8–85.4 | 0 |
| 85.4–89 | 0 |
| 89–92.6 | 0 |
| 92.6–96.2 | 0 |
| 96.2–99.8 | 1 |
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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 | 1 | Koksijde | 38014 | 99.8 % |
|---|---|---|---|---|
| Highest | 2 | Nieuwpoort | 38016 | 81.1 % |
| Highest | 3 | Knokke-Heist | 31043 | 75.6 % |
| Highest | 4 | De Haan | 35029 | 74.5 % |
| Highest | 5 | Middelkerke | 35011 | 70.3 % |
| Highest | 6 | De Panne | 38008 | 68.9 % |
| Highest | 7 | Blankenberge | 31004 | 65.6 % |
| Highest | 8 | Vresse-sur-Semois | 91143 | 53 % |
| Highest | 9 | Oostende | 35013 | 52.6 % |
| Highest | 10 | Sint-Martens-Latem | 44064 | 52.2 % |
| Lowest | 565 | Saint-Josse-ten-Noode | 21014 | 13.1 % |
| Lowest | 564 | Saint-Gilles | 21013 | 13.8 % |
| Lowest | 563 | Etterbeek | 21005 | 14.9 % |
| Lowest | 562 | Ixelles | 21009 | 15 % |
| Lowest | 561 | Schaerbeek | 21015 | 15.3 % |
| Lowest | 560 | Bruxelles | 21004 | 16 % |
| Lowest | 559 | Koekelberg | 21011 | 16.5 % |
| Lowest | 558 | Léglise | 84033 | 17.7 % |
| Lowest | 557 | Molenbeek-Saint-Jean | 21012 | 18 % |
| Lowest | 556 | Anderlecht | 21001 | 18.3 % |
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 methodologySources, licence and provenance