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.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- municipalities
- Boundary set
- Statistical sectors 2019
- 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
- 245,014circle area
- 5,444circle area
- 3,218circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 27–10,235 | 455 |
| 10,235–20,443 | 91 |
| 20,443–30,650 | 13 |
| 30,650–40,858 | 10 |
| 40,858–51,066 | 1 |
| 51,066–61,274 | 6 |
| 61,274–71,482 | 0 |
| 71,482–81,689 | 0 |
| 81,689–91,897 | 0 |
| 91,897–102,105 | 3 |
| 102,105–112,313 | 0 |
| 112,313–122,521 | 0 |
| 122,521–132,728 | 1 |
| 132,728–142,936 | 0 |
| 142,936–153,144 | 0 |
| 153,144–163,352 | 0 |
| 163,352–173,559 | 0 |
| 173,559–183,767 | 0 |
| 183,767–193,975 | 0 |
| 193,975–204,183 | 0 |
| 204,183–214,391 | 0 |
| 214,391–224,598 | 0 |
| 224,598–234,806 | 0 |
| 234,806–245,014 | 1 |
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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 | 1 | Antwerpen | 11002 | 245,014 count |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 123,574 count |
| Highest | 3 | Liège | 62063 | 98,774 count |
| Highest | 4 | Bruxelles | 21004 | 95,203 count |
| Highest | 5 | Charleroi | 52011 | 92,495 count |
| Highest | 6 | Brugge | 31005 | 56,424 count |
| Highest | 7 | Schaerbeek | 21015 | 56,049 count |
| Highest | 8 | Anderlecht | 21001 | 54,164 count |
| Highest | 9 | Namur | 92094 | 53,858 count |
| Highest | 10 | Leuven | 24062 | 51,969 count |
| Lowest | 581 | Herstappe | 73028 | 27 count |
| Lowest | 580 | Mesen | 33016 | 475 count |
| Lowest | 579 | Daverdisse | 84016 | 607 count |
| Lowest | 578 | Herbeumont | 84029 | 755 count |
| Lowest | 577 | Horebeke | 45062 | 796 count |
| Lowest | 576 | Spiere-Helkijn | 34043 | 888 count |
| Lowest | 575 | Martelange | 81013 | 894 count |
| Lowest | 574 | Rouvroy | 85047 | 899 count |
| Lowest | 573 | Bever | 23009 | 926 count |
| Lowest | 572 | Fauvillers | 82009 | 977 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.
All source years use the same complete 581-code municipality domain matching the 2019 boundary pack.
Read the methodologySources, licence and provenance