Belgiumin MapsOfficial Belgian data, explained
Persons at risk of poverty… exclusion by NUTS 2 region by province in Belgium (2025)
This page maps Persons at risk of poverty or social exclusion by NUTS 2 region for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Income
What this indicator measures
Persons at risk of poverty or social exclusion by NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Persons at risk of poverty or social exclusion by NUTS 2 region. Persons at risk of poverty or social exclusion by NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Indicator dossier
Data passport
- Selected reference period
- 2025
- Geography
- provinces
- Measure
- Persons at risk of poverty or social exclusion by NUTS 2 region
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 14.2%
- Unweighted area mean
- 16.19%
- Minimum
- 8.8%
- Maximum
- 33.6%
Across the valid national comparison set, the median is 14.2 %. Values extend from 8.8 to 33.6 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 8.8–11.163 areas
- 11.16–14.162 areas
- 14.16–20.24 areas
- 20.2–23.760 areas
- 23.76–38.92 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 8.8–11.16 | 3 | |
| 11.16–14.16 | 2 | |
| 14.16–20.2 | 4 | |
| 20.2–23.76 | 0 | |
| 23.76–38.9 | 2 |
Explore this exact slice in the atlas
provinces
Highest and lowest values
From 11 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 | Région de Bruxelles-Capitale | 04000 | 33.6 % |
| Highest | 2 | Province du Hainaut | 50000 | 24.8 % |
| Highest | 3 | Province de Liège | 60000 | 19.6 % |
| Highest | 4 | Province de Namur | 90000 | 15.7 % |
| Highest | 5 | Province du Luxembourg | 80000 | 15.4 % |
| Highest | 6 | Provincie Antwerpen | 10000 | 14.2 % |
| Highest | 7 | Province du Brabant wallon | 20002 | 13.9 % |
| Highest | 8 | Provincie Oost-Vlaanderen | 40000 | 12.1 % |
| Highest | 9 | Provincie Limburg | 70000 | 10.2 % |
| Highest | 10 | Provincie West-Vlaanderen | 30000 | 9.8 % |
| Lowest | 11 | Provincie Vlaams-Brabant | 20001 | 8.8 % |
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.
Native NUTS2 value mapped only to exact province-equivalent geography; not a municipality value. Selectors define the source universe and unit.
Default-filter coverage on the exact eleven-code Belgian NUTS-2/province-equivalent domain.
Read the methodologySources, licence and provenance
Sources, licence and provenance
- Source
- Eurostat
- Licence
- Eurostat reuse policy
- Licence
- CC BY 4.0