Belgiumin MapsOfficial Belgian data, explained
Share: Administrative monetary poverty risk by municipality in Belgium (2023)
This page maps Share: Administrative monetary poverty risk for one nationally comparable 2023 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Income
What this indicator measures
Statbel administrative poverty-risk estimate by 2019 municipality code.
Monetary poverty risk. Statbel administrative poverty-risk estimate by 2019 municipality code.
Indicator dossier
Data passport
- Selected reference period
- 2023
- Geography
- municipalities
- Measure
- Monetary poverty risk
- Unit
- %
- Comparable areas
- 580
- Coverage
- 99.8%
Latest published slice
How to read the pattern
- Median
- 7%
- Unweighted area mean
- 8.2%
- Minimum
- 3.4%
- Maximum
- 32.8%
Across the valid national comparison set, the median is 7 %. Values extend from 3.4 to 32.8 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 3.1–5.6164 areas
- 5.6–6.9120 areas
- 6.9–8.6107 areas
- 8.6–11.6102 areas
- 11.6–42.687 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 3.1–5.6 | 164 | |
| 5.6–6.9 | 120 | |
| 6.9–8.6 | 107 | |
| 8.6–11.6 | 102 | |
| 11.6–42.6 | 87 |
Explore this exact slice in the atlas
municipalities
Highest and lowest values
From 580 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 | Saint-Josse-ten-Noode | 21014 | 32.8 % |
| Highest | 2 | Molenbeek-Saint-Jean | 21012 | 31.3 % |
| Highest | 3 | Anderlecht | 21001 | 28 % |
| Highest | 4 | Koekelberg | 21011 | 26.2 % |
| Highest | 5 | Schaerbeek | 21015 | 26 % |
| Highest | 6 | Charleroi | 52011 | 24.4 % |
| Highest | 7 | Bruxelles | 21004 | 24.3 % |
| Highest | 8 | Dison | 63020 | 24.1 % |
| Highest | 9 | Saint-Gilles | 21013 | 23.7 % |
| Highest | 10 | Liège | 62063 | 23.5 % |
| Lowest | 579 | Zemst | 23096 | 3.4 % |
| Lowest | 579 | Galmaarden | 23023 | 3.4 % |
| Lowest | 576 | Horebeke | 45062 | 3.5 % |
| Lowest | 576 | Rotselaar | 24094 | 3.5 % |
| Lowest | 576 | Herne | 23032 | 3.5 % |
| Lowest | 574 | Hoegaarden | 24041 | 3.6 % |
| Lowest | 574 | Begijnendijk | 24007 | 3.6 % |
| Lowest | 570 | De Pinte | 44012 | 3.7 % |
| Lowest | 570 | Zedelgem | 31040 | 3.7 % |
| Lowest | 570 | Holsbeek | 24043 | 3.7 % |
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.
Municipality-only: published poverty rates and income quantiles cannot be validly reconstructed for parent areas from municipal percentages or quantiles.
Read the methodologySources, licence and provenance