Belgiumin MapsOfficial Belgian data, explained
Arrears (mortgage or rent,… hire purchase) by NUTS 2 region by province in Belgium (2025)
This page maps Arrears (mortgage or rent, utility bills or hire purchase) by NUTS 2 region for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Society
What this indicator measures
Arrears (mortgage or rent, utility bills or hire purchase) by NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Arrears (mortgage or rent, utility bills or hire purchase) by NUTS 2 region. Arrears (mortgage or rent, utility bills or hire purchase) 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
- Arrears (mortgage or rent, utility bills or hire purchase) by NUTS 2 region
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 3.9%
- Unweighted area mean
- 5%
- Minimum
- 1.9%
- Maximum
- 15%
Across the valid national comparison set, the median is 3.9 %. Values extend from 1.9 to 15 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 1.2–2.283 areas
- 2.28–3.161 area
- 3.16–4.743 areas
- 4.74–6.542 areas
- 6.54–152 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 1.2–2.28 | 3 | |
| 2.28–3.16 | 1 | |
| 3.16–4.74 | 3 | |
| 4.74–6.54 | 2 | |
| 6.54–15 | 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 | Province du Hainaut | 50000 | 15 % |
| Highest | 2 | Région de Bruxelles-Capitale | 04000 | 7.4 % |
| Highest | 3 | Province de Liège | 60000 | 6.4 % |
| Highest | 4 | Province de Namur | 90000 | 5.7 % |
| Highest | 5 | Province du Brabant wallon | 20002 | 4.5 % |
| Highest | 6 | Province du Luxembourg | 80000 | 3.9 % |
| Highest | 7 | Provincie Oost-Vlaanderen | 40000 | 3.4 % |
| Highest | 8 | Provincie Antwerpen | 10000 | 2.6 % |
| Highest | 9 | Provincie Limburg | 70000 | 2.2 % |
| Highest | 10 | Provincie Vlaams-Brabant | 20001 | 2 % |
| Lowest | 11 | Provincie West-Vlaanderen | 30000 | 1.9 % |
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.
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