Belgiumin MapsOfficial Belgian data, explained
At-risk-of-poverty rate… transfers) by NUTS 2 region by province in Belgium (2025)
This page maps At-risk-of-poverty rate before social transfers (pensions excluded from social transfers) 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
At-risk-of-poverty rate before social transfers (pensions excluded from social transfers) by NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
At-risk-of-poverty rate before social transfers (pensions excluded from social transfers) by NUTS 2 region. At-risk-of-poverty rate before social transfers (pensions excluded from social transfers) 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
- At-risk-of-poverty rate before social transfers (pensions excluded from social transfers) by NUTS 2 region
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 20.3%
- Unweighted area mean
- 23.04%
- Minimum
- 14%
- Maximum
- 43.1%
Across the valid national comparison set, the median is 20.3 %. Values extend from 14 to 43.1 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 14–16.824 areas
- 16.82–20.181 area
- 20.18–24.883 areas
- 24.88–33.841 area
- 33.84–46.72 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 14–16.82 | 4 | |
| 16.82–20.18 | 1 | |
| 20.18–24.88 | 3 | |
| 24.88–33.84 | 1 | |
| 33.84–46.7 | 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 | 43.1 % |
| Highest | 2 | Province du Hainaut | 50000 | 35.7 % |
| Highest | 3 | Province de Liège | 60000 | 26.5 % |
| Highest | 4 | Province du Luxembourg | 80000 | 24.7 % |
| Highest | 5 | Province de Namur | 90000 | 23 % |
| Highest | 6 | Province du Brabant wallon | 20002 | 20.3 % |
| Highest | 7 | Provincie Antwerpen | 10000 | 18.9 % |
| Highest | 8 | Provincie West-Vlaanderen | 30000 | 16.1 % |
| Highest | 9 | Provincie Limburg | 70000 | 15.9 % |
| Highest | 10 | Provincie Oost-Vlaanderen | 40000 | 15.2 % |
| Lowest | 11 | Provincie Vlaams-Brabant | 20001 | 14 % |
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