Official Belgian data, explained
Income interquartile asymmetry by municipality in Belgium (2023)
This page maps Income interquartile asymmetry for one nationally comparable 2023 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Income
What this indicator measures
Published Statbel interquartile asymmetry coefficient.
Official Statbel measure for Income interquartile asymmetry.
Indicator dossier
Data passport
- Selected reference period
- 2023
- Geography
- municipalities
- Boundary set
- Statistical sectors 2023
- Measure
- Value
- Unit
- %
- Comparable areas
- 581
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 30.1%
- Unweighted area mean
- 30.2%
- Minimum
- 11.6%
- Maximum
- 43.2%
Across the valid national comparison set, the median is 30.1 %. Values extend from 11.6 to 43.2 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- -57–-380 areas
- -38–-190 areas
- -19–-0.10 areas
- -0.1–0.10 areas
- 0.1–193 areas
- 19–38564 areas
- 38–5714 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 11.6–13 | 1 |
| 13–14.3 | 0 |
| 14.3–15.6 | 0 |
| 15.6–16.9 | 0 |
| 16.9–18.2 | 0 |
| 18.2–19.5 | 2 |
| 19.5–20.9 | 1 |
| 20.9–22.2 | 7 |
| 22.2–23.5 | 12 |
| 23.5–24.8 | 22 |
| 24.8–26.1 | 42 |
| 26.1–27.4 | 39 |
| 27.4–28.8 | 69 |
| 28.8–30.1 | 94 |
| 30.1–31.4 | 69 |
| 31.4–32.7 | 80 |
| 32.7–34 | 60 |
| 34–35.3 | 39 |
| 35.3–36.6 | 21 |
| 36.6–38 | 9 |
| 38–39.3 | 5 |
| 39.3–40.6 | 5 |
| 40.6–41.9 | 2 |
| 41.9–43.2 | 2 |
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municipalities
Highest and lowest values
From 581 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Highest | 1 | Dour | 53020 | 43.2 % |
|---|---|---|---|---|
| Highest | 2 | Vresse-sur-Semois | 91143 | 42.8 % |
| Highest | 3 | Hastière | 91142 | 41.8 % |
| Highest | 4 | Viroinval | 93090 | 40.7 % |
| Highest | 5 | Comblain-au-Pont | 62026 | 40.1 % |
| Highest | 5 | Dinant | 91034 | 40.1 % |
| Highest | 7 | Lo-Reninge | 32030 | 40.1 % |
| Highest | 8 | Boussu | 53014 | 39.8 % |
| Highest | 9 | Beaumont | 56005 | 39.4 % |
| Highest | 10 | Bouillon | 84010 | 39.2 % |
| Lowest | 581 | Saint-Josse-ten-Noode | 21014 | 11.6 % |
| Lowest | 580 | Hechtel-Eksel | 72038 | 18.8 % |
| Lowest | 579 | Musson | 85026 | 18.9 % |
| Lowest | 578 | Houthalen-Helchteren | 72039 | 20.7 % |
| Lowest | 577 | Heusden-Zolder | 71070 | 20.9 % |
| Lowest | 576 | Bocholt | 72003 | 21.2 % |
| Lowest | 575 | Pelt | 72043 | 21.6 % |
| Lowest | 574 | Kinrooi | 72018 | 21.7 % |
| Lowest | 573 | Wellen | 73098 | 21.9 % |
| Lowest | 572 | Zelzate | 43018 | 21.9 % |
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.
Income year: the calendar year in which the taxable income was earned.
Read the methodologySources, licence and provenance