Official Belgian data, explained
Cars by household type by municipality in Belgium (2024)
This page maps Cars by household type for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Mobility
What this indicator measures
Car counts by household type and number of cars per household.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- municipalities
- Boundary set
- Statistical sectors 2019
- Measure
- Cars
- Unit
- count
- Comparable areas
- 581
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 6,767count
- Unweighted area mean
- 9,411count
- Minimum
- 43count
- Maximum
- 174,708count
Across the valid national comparison set, the median is 6,767 count. Values extend from 43 to 174,708 count. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 174,708circle area
- 6,767circle area
- 4,185circle area
Areas
Value distribution
| Value | Areas |
|---|---|
| 43–7,321 | 311 |
| 7,321–14,598 | 189 |
| 14,598–21,876 | 50 |
| 21,876–29,154 | 12 |
| 29,154–36,432 | 8 |
| 36,432–43,709 | 5 |
| 43,709–50,987 | 1 |
| 50,987–58,265 | 1 |
| 58,265–65,542 | 0 |
| 65,542–72,820 | 1 |
| 72,820–80,098 | 0 |
| 80,098–87,376 | 1 |
| 87,376–94,653 | 0 |
| 94,653–101,931 | 1 |
| 101,931–109,209 | 0 |
| 109,209–116,486 | 0 |
| 116,486–123,764 | 0 |
| 123,764–131,042 | 0 |
| 131,042–138,319 | 0 |
| 138,319–145,597 | 0 |
| 145,597–152,875 | 0 |
| 152,875–160,153 | 0 |
| 160,153–167,430 | 0 |
| 167,430–174,708 | 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 | 174,708 count |
|---|---|---|---|---|
| Highest | 2 | Gent | 44021 | 96,774 count |
| Highest | 3 | Charleroi | 52011 | 81,077 count |
| Highest | 4 | Liège | 62063 | 71,404 count |
| Highest | 5 | Brugge | 31005 | 53,694 count |
| Highest | 6 | Namur | 92094 | 49,696 count |
| Highest | 7 | Mons | 53053 | 42,183 count |
| Highest | 8 | Aalst | 41002 | 41,870 count |
| Highest | 9 | Hasselt | 71022 | 40,883 count |
| Highest | 10 | Bruxelles | 21004 | 40,728 count |
| Lowest | 581 | Herstappe | 73028 | 43 count |
| Lowest | 580 | Mesen | 33016 | 485 count |
| Lowest | 579 | Daverdisse | 84016 | 737 count |
| Lowest | 578 | Herbeumont | 84029 | 888 count |
| Lowest | 577 | Martelange | 81013 | 981 count |
| Lowest | 576 | Rouvroy | 85047 | 1,143 count |
| Lowest | 575 | Spiere-Helkijn | 34043 | 1,148 count |
| Lowest | 574 | Horebeke | 45062 | 1,150 count |
| Lowest | 573 | Vresse-sur-Semois | 91143 | 1,274 count |
| Lowest | 572 | Bever | 23009 | 1,291 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