Belgiumin Maps

Official Belgian data, explained

Inability to keep home adequately warm by NUTS 2 region by province in Belgium (2025)

This page maps Inability to keep home adequately warm 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

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.

Inability to keep home adequately warm by NUTS 2 region. 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
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

Inability to keep home adequately warm by NUTS 2 region, 2025. 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
Inability to keep home adequately warm by NUTS 2 region, 2025. Exact official boundaries; missing values remain neutral.

Categories

Distribution by official map class

Distribution by official map classOne bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.40.4–1.931.9–2.612.6–5.9415.94–9.4229.42–14.6LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
0.4–1.94
1.9–2.63
2.6–5.941
5.94–9.421
9.42–14.62

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.

Highest and lowest values
Position#AreaOfficial codeValue
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. 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 methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance