Official Belgian data, explained
Administrative monetary poverty rate by municipality in Belgium (2023)
This page maps Administrative monetary poverty rate 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.
Indicator dossier
Data passport
- Selected reference period
- 2023
- Geography
- municipalities
- Boundary set
- Statistical sectors 2019
- 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
Areas
Value distribution
| Value | Areas |
|---|---|
| 3.4–4.6 | 61 |
| 4.6–5.9 | 131 |
| 5.9–7.1 | 110 |
| 7.1–8.3 | 67 |
| 8.3–9.5 | 65 |
| 9.5–10.8 | 38 |
| 10.8–12 | 30 |
| 12–13.2 | 18 |
| 13.2–14.4 | 13 |
| 14.4–15.6 | 9 |
| 15.6–16.9 | 8 |
| 16.9–18.1 | 5 |
| 18.1–19.3 | 6 |
| 19.3–20.5 | 5 |
| 20.5–21.8 | 2 |
| 21.8–23 | 1 |
| 23–24.2 | 4 |
| 24.2–25.4 | 2 |
| 25.4–26.7 | 2 |
| 26.7–27.9 | 0 |
| 27.9–29.1 | 1 |
| 29.1–30.3 | 0 |
| 30.3–31.6 | 1 |
| 31.6–32.8 | 1 |
Explore this exact slice in the atlas Download this data as CSV
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.
| 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. 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.
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