Belgiumin MapsOfficial Belgian data, explained
International-employment household share by municipality in Belgium (2023)
This page maps International-employment household share for one nationally comparable 2023 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Income
What this indicator measures
Share of persons living in a household with international employment.
Persons in an internationally employed household. Share of persons living in a household with international employment.
Indicator dossier
Data passport
- Selected reference period
- 2023
- Geography
- municipalities
- Measure
- Persons in an internationally employed household
- Unit
- %
- Comparable areas
- 580
- Coverage
- 99.8%
Latest published slice
How to read the pattern
- Median
- 0.2%
- Unweighted area mean
- 0.8%
- Minimum
- 0%
- Maximum
- 20.7%
Across the valid national comparison set, the median is 0.2 %. Values extend from 0 to 20.7 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 0–0.194 areas
- 0.1–0.2176 areas
- 0.2–0.5168 areas
- 0.5–20.7142 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 0–0.1 | 94 | |
| 0.1–0.2 | 176 | |
| 0.2–0.5 | 168 | |
| 0.5–20.7 | 142 |
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 | Woluwe-Saint-Pierre | 21019 | 20.7 % |
| Highest | 2 | Kraainem | 23099 | 19.1 % |
| Highest | 3 | Woluwe-Saint-Lambert | 21018 | 17.4 % |
| Highest | 4 | Etterbeek | 21005 | 16.7 % |
| Highest | 5 | Ixelles | 21009 | 13.9 % |
| Highest | 6 | Auderghem | 21002 | 13.3 % |
| Highest | 7 | Wezembeek-Oppem | 23103 | 12.7 % |
| Highest | 8 | Tervuren | 24104 | 10.8 % |
| Highest | 9 | Uccle | 21016 | 10.5 % |
| Highest | 10 | Jurbise | 53044 | 9.1 % |
| Lowest | 487 | Doische | 93018 | 0 % |
| Lowest | 487 | Couvin | 93014 | 0 % |
| Lowest | 487 | Bièvre | 91015 | 0 % |
| Lowest | 487 | Herbeumont | 84029 | 0 % |
| Lowest | 487 | Erezée | 83013 | 0 % |
| Lowest | 487 | Durbuy | 83012 | 0 % |
| Lowest | 487 | Voeren | 73109 | 0 % |
| Lowest | 487 | Wellen | 73098 | 0 % |
| Lowest | 487 | Kortessem | 73040 | 0 % |
| Lowest | 487 | Borgloon | 73009 | 0 % |
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