Official Belgian data, explained

Bankruptcies by municipality in Belgium (2024)

This page maps Bankruptcies for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Economy

What this indicator measures

Bankruptcies by month, company characteristics and NACE section.

Indicator dossier

Data passport

Selected reference period
2024
Geography
municipalities
Boundary set
Statistical sectors 2019
Measure
Bankruptcies
Unit
count
Comparable areas
581
Coverage
100%

Latest published slice

How to read the pattern

Median
8count
Unweighted area mean
19count
Minimum
0count
Maximum
933count

Across the valid national comparison set, the median is 8 count. Values extend from 0 to 933 count. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Bankruptcies, 2024. Circle area is proportional to the published value; neutral polygons preserve the exact official boundaries, and missing values have no symbol.
  1. 933circle area
  2. 8circle area
  3. 4circle area
Bankruptcies, 2024. 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.02635250–39: 525 areas39–78: 34 areas78–117: 11 areas117–156: 2 areas156–194: 4 areas194–233: 1 area233–272: 1 area272–311: 0 areas311–350: 1 area350–389: 0 areas389–428: 0 areas428–467: 0 areas467–505: 1 area505–544: 0 areas544–583: 0 areas583–622: 0 areas622–661: 0 areas661–700: 0 areas700–739: 0 areas739–778: 0 areas778–816: 0 areas816–855: 0 areas855–894: 0 areas894–933: 1 areaMedian · 80933countNumber 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
0–39525
39–7834
78–11711
117–1562
156–1944
194–2331
233–2721
272–3110
311–3501
350–3890
389–4280
428–4670
467–5051
505–5440
544–5830
583–6220
622–6610
661–7000
700–7390
739–7780
778–8160
816–8550
855–8940
894–9331

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

municipalities

Highest and lowest values

From 581 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.

Highest and lowest values
Highest1Antwerpen11002933 count
Highest2Bruxelles21004494 count
Highest3Gent44021333 count
Highest4Liège62063248 count
Highest5Anderlecht21001233 count
Highest6Ixelles21009187 count
Highest7Charleroi52011186 count
Highest8Zaventem23094181 count
Highest9Schaerbeek21015158 count
Highest10Hasselt71022130 count
Lowest556Rouvroy850470 count
Lowest556Habay850460 count
Lowest556Saint-Léger850340 count
Lowest556Meix-devant-Virton850240 count
Lowest556Etalle850090 count
Lowest556Wellin840750 count
Lowest556Herbeumont840290 count
Lowest556Daverdisse840160 count
Lowest556Rendeux830440 count
Lowest556Erezée830130 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.

Every source municipality code is contained in the fixed 581-code 2019 domain; the source provides explicit municipality, province and region parents.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance