Belgiumin Maps

Official Belgian data, explained

Cars per household by sector in Belgium (2024)

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

Mobility

What this indicator measures

Cars per household

Official Statbel measure for Cars per household.

Value. Sum of cars divided by sum of households; sector ratios are never averaged.

Indicator dossier

Data passport

Selected reference period
2024
Geography
statistical sectors
Measure
Value
Unit
cars/household
Comparable areas
19387
Coverage
97.9%

Latest published slice

How to read the pattern

Median
1.29cars/household
Unweighted area mean
1.25cars/household
Minimum
0cars/household
Maximum
5cars/household

Across the valid national comparison set, the median is 1.29 cars/household. Values extend from 0 to 5 cars/household. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Cars per household, 2024. Exact official boundaries; missing values remain neutral.
  1. 0–1.013779 areas
  2. 1.01–1.223821 areas
  3. 1.22–1.343652 areas
  4. 1.34–1.474038 areas
  5. 1.47–84097 areas
Cars per household, 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.37790–1.0138211.01–1.2236521.22–1.3440381.34–1.4740971.47–8LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
0–1.013779
1.01–1.223821
1.22–1.343652
1.34–1.474038
1.47–84097

Explore this exact slice in the atlas

statistical sectors

Highest and lowest values

From 19387 comparable sectors, the table shows a concise high-and-low sample; the complete sector table remains in the atlas.

Highest and lowest values
Position#AreaOfficial codeValue
Highest1SART BASTIN63001D4825 cars/household
Highest292094E11292094E1124.5 cars/household
Highest3MELLERY-HABITATIONS DISP.25107C09-4.17 cars/household
Highest4BOIS LOWET25119B1904 cars/household
Highest4DENDERLEEUW4102413PQ4 cars/household
Highest4RIEME - INDUSTRIE44019C1724 cars/household
Highest4LA HAINE DE NIMY53053E0824 cars/household
Highest824107J29-24107J29-3.67 cars/household
Lowest19334FONTAINE DU ROY93090C0620 cars/household
Lowest19334PARC DE LATHUY92142A6930 cars/household
Lowest19334BONNIERS92094W0810 cars/household
Lowest19334BAN92094G1900 cars/household
Lowest19334LES DOLIMARTS91143D1620 cars/household
Lowest19334DION - ENCLAVE91013E19-0 cars/household
Lowest19334GROSSE HAIE84059C3820 cars/household
Lowest19334POIX - HABITATIONS DISPERSEES84059C19-0 cars/household

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.

Statbel identifies CD_YEAR but does not declare a finer reference date on the open-data landing page.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance