Belgiumin Maps

Official Belgian data, explained

Workers affected by bankruptcies by municipality in Belgium (2024)

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

Economy

What this indicator measures

Reported workers affected by bankruptcies.

All workers. Reported workers affected by bankruptcies.

Indicator dossier

Data passport

Selected reference period
2024
Geography
municipalities
Measure
All workers
Unit
count
Comparable areas
581
Coverage
100%

Latest published slice

How to read the pattern

Median
19count
Unweighted area mean
56count
Minimum
0count
Maximum
2,581count

Across the valid national comparison set, the median is 19 count. Values extend from 0 to 2,581 count. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Workers affected by bankruptcies, 2024. Exact official boundaries; missing values remain neutral.
  1. 0–477 areas
  2. 4–11124 areas
  3. 11–23121 areas
  4. 23–50134 areas
  5. 50–3,137125 areas
Workers affected by bankruptcies, 2024. 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.770–41244–1112111–2313423–5012550–3,137LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
0–477
4–11124
11–23121
23–50134
50–3,137125

Explore this exact slice in the atlas

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
Position#AreaOfficial codeValue
Highest1Antwerpen110022,581 count
Highest2Lier120212,530 count
Highest3Bruxelles210041,287 count
Highest4Gent44021895 count
Highest5Liège62063717 count
Highest6Uccle21016657 count
Highest7Anderlecht21001602 count
Highest8Charleroi52011524 count
Highest9Oudenaarde45035486 count
Highest10Zaventem23094454 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. 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.

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