Belgiumin Maps

Official Belgian data, explained

New apartments by municipality in Belgium (Jan–Apr 2026 (YTD))

This page maps New apartments for one nationally comparable Jan–Apr 2026 (YTD) slice. Every figure below uses the same disclosed definition, unit, geography and source.

Construction

What this indicator measures

Official building-permit total.

New apartments. Official building-permit total.

Indicator dossier

Data passport

Selected reference period
Jan–Apr 2026 (YTD)
Geography
municipalities
Measure
New apartments
Unit
count
Comparable areas
540
Coverage
95.6%

Latest published slice

How to read the pattern

Median
0count
Unweighted area mean
13count
Minimum
0count
Maximum
574count

Across the valid national comparison set, the median is 0 count. Values extend from 0 to 574 count. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

New apartments, Jan–Apr 2026 (YTD). Exact official boundaries; missing values remain neutral.
  1. 0–2272 areas
  2. 2–454 areas
  3. 4–1077 areas
  4. 10–2867 areas
  5. 28–57470 areas
New apartments, Jan–Apr 2026 (YTD). 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.2720–2542–4774–106710–287028–574LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
0–2272
2–454
4–1077
10–2867
28–57470

Explore this exact slice in the atlas

municipalities

Highest and lowest values

From 540 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
Highest1Bruxelles21004574 count
Highest2Oostende35013433 count
Highest3Gent44021304 count
Highest4Brugge31005260 count
Highest5Vilvoorde23088222 count
Highest6Antwerpen11002199 count
Highest7Liège62063172 count
Highest8Boom11005164 count
Highest9Evere21006135 count
Highest10Beauvechain25005132 count
Lowest269Viroinval930900 count
Lowest269Walcourt930880 count
Lowest269Philippeville930560 count
Lowest269Florennes930220 count
Lowest269Doische930180 count
Lowest269Jemeppe-sur-Sambre921400 count
Lowest269Fernelmont921380 count
Lowest269Sambreville921370 count
Lowest269Ohey920970 count
Lowest269Mettet920870 count

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.

Sum of the four published monthly observations January-April 2026; deliberately labelled YTD, not a complete year.

Year to date through month 4; not comparable with complete calendar years.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance