Belgiumin Maps

Official Belgian data, explained

Households by car ownership by municipality in Belgium (2024)

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

Mobility

What this indicator measures

Household counts by household type and number of cars.

Households. Household counts by household type and number of cars.

Indicator dossier

Data passport

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

Latest published slice

How to read the pattern

Median
5,444count
Unweighted area mean
8,898count
Minimum
27count
Maximum
245,014count

Across the valid national comparison set, the median is 5,444 count. Values extend from 27 to 245,014 count. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Households by car ownership, 2024. Exact official boundaries; missing values remain neutral.
  1. 27–2,628113 areas
  2. 2,628–4,431108 areas
  3. 4,431–6,396116 areas
  4. 6,396–10,571122 areas
  5. 10,571–245,014122 areas
Households by car ownership, 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.11327–2,6281082,628–4,4311164,431–6,3961226,396–10,57112210,571–245,014LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
27–2,628113
2,628–4,431108
4,431–6,396116
6,396–10,571122
10,571–245,014122

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
Highest1Antwerpen11002245,014 count
Highest2Gent44021123,574 count
Highest3Liège6206398,774 count
Highest4Bruxelles2100495,203 count
Highest5Charleroi5201192,495 count
Highest6Brugge3100556,424 count
Highest7Schaerbeek2101556,049 count
Highest8Anderlecht2100154,164 count
Highest9Namur9209453,858 count
Highest10Leuven2406251,969 count
Lowest581Herstappe7302827 count
Lowest580Mesen33016475 count
Lowest579Daverdisse84016607 count
Lowest578Herbeumont84029755 count
Lowest577Horebeke45062796 count
Lowest576Spiere-Helkijn34043888 count
Lowest575Martelange81013894 count
Lowest574Rouvroy85047899 count
Lowest573Bever23009926 count
Lowest572Fauvillers82009977 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.

All source years use the same complete 581-code municipality domain matching the 2019 boundary pack.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance