Official Belgian data, explained
Share: Unmarried by municipality in Belgium (2026)
This page maps Share: Unmarried for one nationally comparable 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Population
What this indicator measures
Residents recorded with civil-status code 1.
Official Statbel measure for Unmarried.
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
- 49.9%
- Unweighted area mean
- 50%
- Minimum
- 29.8%
- Maximum
- 70.5%
Across the valid national comparison set, the median is 49.9 %. Values extend from 29.8 to 70.5 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 29.6–42.414 areas
- 42.4–44.958 areas
- 44.9–47.4127 areas
- 47.4–50.7108 areas
- 50.7–70.5258 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 29.8–31.6 | 1 |
| 31.6–33.4 | 0 |
| 33.4–35.1 | 3 |
| 35.1–36.9 | 1 |
| 36.9–38.7 | 2 |
| 38.7–40.4 | 1 |
| 40.4–42.2 | 4 |
| 42.2–44 | 18 |
| 44–45.7 | 95 |
| 45.7–47.5 | 82 |
| 47.5–49.3 | 56 |
| 49.3–51.1 | 53 |
| 51.1–52.8 | 71 |
| 52.8–54.6 | 89 |
| 54.6–56.4 | 50 |
| 56.4–58.1 | 22 |
| 58.1–59.9 | 9 |
| 59.9–61.7 | 1 |
| 61.7–63.4 | 2 |
| 63.4–65.2 | 2 |
| 65.2–67 | 0 |
| 67–68.7 | 1 |
| 68.7–70.5 | 2 |
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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 | Ixelles | 21009 | 70.5 % |
|---|---|---|---|---|
| Highest | 2 | Saint-Gilles | 21013 | 69.9 % |
| Highest | 3 | Etterbeek | 21005 | 67.5 % |
| Highest | 4 | Saint-Josse-ten-Noode | 21014 | 63.7 % |
| Highest | 5 | Forest | 21007 | 63.6 % |
| Highest | 6 | Bruxelles | 21004 | 62.4 % |
| Highest | 7 | Schaerbeek | 21015 | 62.1 % |
| Highest | 8 | Liège | 62063 | 60.6 % |
| Highest | 9 | Leuven | 24062 | 59.8 % |
| Highest | 10 | Colfontaine | 53082 | 59.4 % |
| Lowest | 565 | Koksijde | 38014 | 29.8 % |
| Lowest | 564 | Nieuwpoort | 38016 | 33.5 % |
| Lowest | 563 | Knokke-Heist | 31043 | 34.2 % |
| Lowest | 562 | De Haan | 35029 | 35.1 % |
| Lowest | 561 | Middelkerke | 35011 | 35.6 % |
| Lowest | 560 | De Panne | 38008 | 37.7 % |
| Lowest | 559 | Herstappe | 73028 | 38.5 % |
| Lowest | 558 | Blankenberge | 31004 | 39 % |
| Lowest | 557 | Zuienkerke | 31042 | 41.4 % |
| Lowest | 556 | Bredene | 35002 | 41.5 % |
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