Official Belgian data, explained

Unable to afford a protein-rich meal every second day by province in Belgium (2025)

This page maps Unable to afford a protein-rich meal every second day 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 afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day 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 afford a meal with meat, chicken, fish (or vegetarian equivalent) every second day by NUTS 2 region
Unit
%
Comparable areas
11
Coverage
100%

Latest published slice

How to read the pattern

Median
2.8%
Unweighted area mean
4.56%
Minimum
0.9%
Maximum
12.8%

Across the valid national comparison set, the median is 2.8 %. Values extend from 0.9 to 12.8 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Unable to afford a protein-rich meal every second day, 2025. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 0.7–1.281 area
  2. 1.28–2.43 areas
  3. 2.4–5.14 areas
  4. 5.1–7.260 areas
  5. 7.26–12.83 areas
Unable to afford a protein-rich meal every second day, 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.0480.9–3.88: 8 areas83.88–6.85: 0 areas06.85–9.83: 1 area19.83–12.8: 2 areas2Median · 2.80.912.8%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
0.9–3.888
3.88–6.850
6.85–9.831
9.83–12.82

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-Capitale0400012.8 %
Highest2Province du Hainaut5000011.7 %
Highest3Province de Liège600007.5 %
Highest4Province du Luxembourg800003.8 %
Highest5Provincie Antwerpen100002.9 %
Highest6Province du Brabant wallon200022.8 %
Highest7Provincie Vlaams-Brabant200012.5 %
Highest8Province de Namur900001.9 %
Highest9Provincie Limburg700001.8 %
Highest10Provincie West-Vlaanderen300001.6 %
Lowest11Provincie Oost-Vlaanderen400000.9 %

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