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Official Belgian data, explained

Housing cost overburden rate by NUTS 2 region by province in Belgium (2025)

This page maps Housing cost overburden rate 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

Housing cost overburden rate 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
Boundary set
Statistical sectors 2024
Measure
Housing cost overburden rate by NUTS 2 region
Unit
%
Comparable areas
11
Coverage
100%

Latest published slice

How to read the pattern

Median
5.7%
Unweighted area mean
7.07%
Minimum
4.3%
Maximum
16.6%

Across the valid national comparison set, the median is 5.7 %. Values extend from 4.3 to 16.6 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Housing cost overburden rate by NUTS 2 region, 2025. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 3.4–4.82 areas
  2. 4.8–5.984 areas
  3. 5.98–7.042 areas
  4. 7.04–9.421 area
  5. 9.42–17.32 areas
Housing cost overburden rate by NUTS 2 region, 2025. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.

Areas

Value distribution

Value distributionHistogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.0364.3–6.35: 6 areas66.35–8.4: 3 areas38.4–10.45: 0 areas010.45–12.5: 1 area112.5–14.55: 0 areas014.55–16.6: 1 area1Median · 5.74.316.6%Number of areas
Histogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.
ValueAreas
4.3–6.356
6.35–8.43
8.4–10.450
10.45–12.51
12.5–14.550
14.55–16.61

Explore this exact slice in the atlas Download this data as CSV

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.

Highest and lowest values
Highest1Région de Bruxelles-Capitale0400016.6 %
Highest2Province du Brabant wallon2000210.7 %
Highest3Province du Luxembourg800007.9 %
Highest4Province de Liège600007 %
Highest5Province du Hainaut500006.7 %
Highest6Province de Namur900005.7 %
Highest7Provincie Vlaams-Brabant200014.8 %
Highest7Provincie West-Vlaanderen300004.8 %
Highest7Provincie Oost-Vlaanderen400004.8 %
Highest10Provincie Antwerpen100004.5 %
Lowest11Provincie Limburg700004.3 %

Method and limitations

Method and limitations

No missing value is imputed. Where colour classes are used, their breaks and colours come from the catalogue; 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 methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance

Data topic · Society

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