Official Belgian data, explained

Residential renovation buildings by municipality in Belgium (Jan–Apr 2026)

This page maps Residential renovation buildings for one nationally comparable Jan–Apr 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Construction

What this indicator measures

Official building-permit total.

Indicator dossier

Data passport

Selected reference period
Jan–Apr 2026
Geography
municipalities
Boundary set
Statistical sectors 2025
Measure
Residential renovation buildings
Unit
count
Comparable areas
540
Coverage
95.6%

Latest published slice

How to read the pattern

Median
10count
Unweighted area mean
15count
Minimum
0count
Maximum
333count

Across the valid national comparison set, the median is 10 count. Values extend from 0 to 333 count. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Residential renovation buildings, Jan–Apr 2026. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.
  1. 333circle area
  2. 10circle area
  3. 6circle area
Residential renovation buildings, Jan–Apr 2026. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.

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.01713410–14: 341 areas14–28: 139 areas28–42: 34 areas42–56: 11 areas56–69: 5 areas69–83: 3 areas83–97: 2 areas97–111: 0 areas111–125: 1 area125–139: 1 area139–153: 0 areas153–167: 1 area167–180: 0 areas180–194: 0 areas194–208: 0 areas208–222: 0 areas222–236: 0 areas236–250: 0 areas250–264: 0 areas264–278: 0 areas278–291: 0 areas291–305: 1 area305–319: 0 areas319–333: 1 areaMedian · 100333countNumber 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
0–14341
14–28139
28–4234
42–5611
56–695
69–833
83–972
97–1110
111–1251
125–1391
139–1530
153–1671
167–1800
180–1940
194–2080
208–2220
222–2360
236–2500
250–2640
264–2780
278–2910
291–3051
305–3190
319–3331

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

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
Highest1Gent44021333 count
Highest2Antwerpen11002304 count
Highest3Brugge31005153 count
Highest4Leuven24062132 count
Highest5Liège62063118 count
Highest6Mechelen1202593 count
Highest7Kortrijk3402288 count
Highest8Hasselt7107283 count
Highest9Charleroi5201181 count
Highest10Beveren-Kruibeke-Zwijndrecht4603079 count
Lowest528Hastière911420 count
Lowest528Rouvroy850470 count
Lowest528Tintigny850390 count
Lowest528Tellin840680 count
Lowest528Martelange810130 count
Lowest528Herstappe730280 count
Lowest528Lincent640470 count
Lowest528Berloz640080 count
Lowest528Ouffet610480 count
Lowest528Erquelinnes560220 count

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.

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