Official Belgian data, explained

Unable to keep the home adequately warm by province in Belgium (2025)

This page maps Unable to keep the home adequately warm for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Society

What this indicator measures

Inability to keep home adequately warm 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
Inability to keep home adequately warm by NUTS 2 region
Unit
%
Comparable areas
11
Coverage
100%

Latest published slice

How to read the pattern

Median
2.4%
Unweighted area mean
4.12%
Minimum
0.4%
Maximum
10.5%

Across the valid national comparison set, the median is 2.4 %. Values extend from 0.4 to 10.5 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Unable to keep the home adequately warm, 2025. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 0.4–1.94 areas
  2. 1.9–2.63 areas
  3. 2.6–5.941 area
  4. 5.94–9.421 area
  5. 9.42–14.62 areas
Unable to keep the home adequately warm, 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.0470.4–3.77: 7 areas73.77–7.13: 1 area17.13–10.5: 3 areas3Median · 2.40.410.5%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
0.4–3.777
3.77–7.131
7.13–10.53

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
Highest1Province du Hainaut5000010.5 %
Highest2Région de Bruxelles-Capitale040009.6 %
Highest3Province de Liège600009.3 %
Highest4Province du Brabant wallon200024.3 %
Highest5Provincie Vlaams-Brabant200012.4 %
Highest5Province de Namur900002.4 %
Highest7Province du Luxembourg800002 %
Highest8Provincie Oost-Vlaanderen400001.7 %
Highest9Provincie Limburg700001.4 %
Highest10Provincie West-Vlaanderen300001.3 %
Lowest11Provincie Antwerpen100000.4 %

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