Belgiumin Maps

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

Income interquartile asymmetry

Official Statbel measure for Income interquartile asymmetry.

Value. Published Statbel interquartile asymmetry coefficient.

Indicator dossier

Data passport

Selected reference period
2023
Geography
municipalities
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

Income interquartile asymmetry, 2023. Exact official boundaries; missing values remain neutral.
  1. -57–-380 areas
  2. -38–-190 areas
  3. -19–-0.10 areas
  4. -0.1–0.10 areas
  5. 0.1–193 areas
  6. 19–38564 areas
  7. 38–5714 areas
Income interquartile asymmetry, 2023. Exact official boundaries; missing values remain neutral.

Categories

Distribution by official map class

Distribution by official map classOne bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.0-57–-380-38–-190-19–-0.10-0.1–0.130.1–1956419–381438–57LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
-57–-380
-38–-190
-19–-0.10
-0.1–0.10
0.1–193
19–38564
38–5714

Explore this exact slice in the atlas

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 and lowest values
Position#AreaOfficial codeValue
Highest1Dour5302043.2 %
Highest2Vresse-sur-Semois9114342.8 %
Highest3Hastière9114241.8 %
Highest4Viroinval9309040.7 %
Highest5Comblain-au-Pont6202640.1 %
Highest5Dinant9103440.1 %
Highest7Lo-Reninge3203040.1 %
Highest8Boussu5301439.8 %
Highest9Beaumont5600539.4 %
Highest10Bouillon8401039.2 %
Lowest581Saint-Josse-ten-Noode2101411.6 %
Lowest580Hechtel-Eksel7203818.8 %
Lowest579Musson8502618.9 %
Lowest578Houthalen-Helchteren7203920.7 %
Lowest577Heusden-Zolder7107020.9 %
Lowest576Bocholt7200321.2 %
Lowest575Pelt7204321.6 %
Lowest574Kinrooi7201821.7 %
Lowest573Wellen7309821.9 %
Lowest572Zelzate4301821.9 %

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.

Income year: the calendar year in which the taxable income was earned.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance