Belgiumin MapsOfficial Belgian data, explained
Stock of electric vehicles… coaches, and trolley buses by province in Belgium (2024)
This page maps Stock of electric vehicles by category and NUTS 2 region — Vehicle category: Buses, motor coaches, and trolley buses for one nationally comparable 2024 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Mobility
What this indicator measures
Stock of electric vehicles by category and NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Stock of electric vehicles by category and NUTS 2 region. Stock of electric vehicles by category and NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Indicator dossier
Data passport
- Selected reference period
- 2024
- Geography
- provinces
- Measure
- Stock of electric vehicles by category and NUTS 2 region
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Indicator dossier
Selected slice
Exact catalogue filters applied to the map, statistics and comparison.
- Vehicle category
- Buses, motor coaches, and trolley buses
Latest published slice
How to read the pattern
- Median
- 1.52%
- Unweighted area mean
- 2.24%
- Minimum
- 0%
- Maximum
- 5.3%
Across the valid national comparison set, the median is 1.52 %. Values extend from 0 to 5.3 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 0–0.072 areas
- 0.07–0.140 areas
- 0.14–0.490 areas
- 0.49–2.065 areas
- 2.06–5.34 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 0–0.07 | 2 | |
| 0.07–0.14 | 0 | |
| 0.14–0.49 | 0 | |
| 0.49–2.06 | 5 | |
| 2.06–5.3 | 4 |
Explore this exact slice in the atlas
provinces
Highest and lowest values
From 11 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Position | # | Area | Official code | Value |
|---|---|---|---|---|
| Highest | 1 | Provincie Antwerpen | 10000 | 5.3 % |
| Highest | 2 | Provincie Vlaams-Brabant | 20001 | 4.94 % |
| Highest | 3 | Région de Bruxelles-Capitale | 04000 | 4.89 % |
| Highest | 4 | Provincie Limburg | 70000 | 3.99 % |
| Highest | 5 | Provincie Oost-Vlaanderen | 40000 | 2.02 % |
| Highest | 6 | Provincie West-Vlaanderen | 30000 | 1.52 % |
| Highest | 7 | Province du Brabant wallon | 20002 | 0.89 % |
| Highest | 8 | Province du Hainaut | 50000 | 0.63 % |
| Highest | 9 | Province de Liège | 60000 | 0.5 % |
| Highest | 10 | Province du Luxembourg | 80000 | 0 % |
| Lowest | 10 | Province de Namur | 90000 | 0 % |
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.
Native NUTS2 value mapped only to exact province-equivalent geography; not a municipality value. Selectors define the source universe and unit.
Default-filter coverage on the exact eleven-code Belgian NUTS-2/province-equivalent domain.
Read the methodologySources, licence and provenance
Sources, licence and provenance
- Source
- Eurostat
- Licence
- Eurostat reuse policy
- Licence
- CC BY 4.0