Belgiumin MapsOfficial Belgian data, explained
Impact of social transfers… by sex and NUTS 2 region by province in Belgium (2025)
This page maps Impact of social transfers (excluding pensions) on poverty reduction by sex and 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
Impact of social transfers (excluding pensions) on poverty reduction by sex and NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Impact of social transfers (excluding pensions) on poverty reduction by sex and NUTS 2 region. Impact of social transfers (excluding pensions) on poverty reduction by sex and 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
- Impact of social transfers (excluding pensions) on poverty reduction by sex and NUTS 2 region
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 51.82%
- Unweighted area mean
- 53.66%
- Minimum
- 44.91%
- Maximum
- 65.22%
Across the valid national comparison set, the median is 51.82 %. Values extend from 44.91 to 65.22 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 37.09–45.31 area
- 45.3–51.153 areas
- 51.15–56.122 areas
- 56.12–60.344 areas
- 60.34–66.881 area
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 37.09–45.3 | 1 | |
| 45.3–51.15 | 3 | |
| 51.15–56.12 | 2 | |
| 56.12–60.34 | 4 | |
| 60.34–66.88 | 1 |
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 | Provincie West-Vlaanderen | 30000 | 65.22 % |
| Highest | 2 | Provincie Oost-Vlaanderen | 40000 | 59.87 % |
| Highest | 3 | Province du Hainaut | 50000 | 59.38 % |
| Highest | 4 | Provincie Vlaams-Brabant | 20001 | 58.57 % |
| Highest | 5 | Provincie Limburg | 70000 | 57.86 % |
| Highest | 6 | Province du Luxembourg | 80000 | 51.82 % |
| Highest | 7 | Province du Brabant wallon | 20002 | 51.23 % |
| Highest | 8 | Province de Namur | 90000 | 50 % |
| Highest | 9 | Région de Bruxelles-Capitale | 04000 | 45.94 % |
| Highest | 10 | Provincie Antwerpen | 10000 | 45.5 % |
| Lowest | 11 | Province de Liège | 60000 | 44.91 % |
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