Belgiumin MapsOfficial Belgian data, explained
Outdoor 5G population coverage by municipality in Belgium (Jan 2026)
This page maps Outdoor 5G population coverage for one nationally comparable Jan 2026 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Digital connectivity
What this indicator measures
Modeled mobile coverage by operator, technology, population/household/territory basis and reception layer.
BIPT-published modeled coverage fraction × 100; it is not a customer-experience measurement.
Mobile network coverage. BIPT-published modeled coverage fraction × 100; it is not a customer-experience measurement.
Indicator dossier
Data passport
- Selected reference period
- Jan 2026
- Geography
- municipalities
- Measure
- Mobile network coverage
- Unit
- %
- Comparable areas
- 565
- Coverage
- 100%
Indicator dossier
Selected slice
Exact catalogue filters applied to the map, statistics and comparison.
- Operator
- ALL
- Technology
- 5G
- Coverage basis
- Population
- Reception layer
- Outdoor
Latest published slice
How to read the pattern
- Median
- 100%
- Unweighted area mean
- 100%
- Minimum
- 100%
- Maximum
- 100%
Across the valid national comparison set, the median is 100 %. Values extend from 100 to 100 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 100–100565 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 100–100 | 565 |
Explore this exact slice in the atlas
municipalities
Highest and lowest values
From 565 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 | Aartselaar | 11001 | 100 % |
| Highest | 1 | Antwerpen | 11002 | 100 % |
| Highest | 1 | Boechout | 11004 | 100 % |
| Highest | 1 | Boom | 11005 | 100 % |
| Highest | 1 | Brasschaat | 11008 | 100 % |
| Highest | 1 | Brecht | 11009 | 100 % |
| Highest | 1 | Edegem | 11013 | 100 % |
| Highest | 1 | Essen | 11016 | 100 % |
| Highest | 1 | Hemiksem | 11018 | 100 % |
| Highest | 1 | Hove | 11021 | 100 % |
| Lowest | 565 | Sivry-Rance | 56088 | 100 % |
| Lowest | 564 | Raeren | 63061 | 100 % |
| Lowest | 1 | Viroinval | 93090 | 100 % |
| Lowest | 1 | Walcourt | 93088 | 100 % |
| Lowest | 1 | Philippeville | 93056 | 100 % |
| Lowest | 1 | Florennes | 93022 | 100 % |
| Lowest | 1 | Doische | 93018 | 100 % |
| Lowest | 1 | Couvin | 93014 | 100 % |
| Lowest | 1 | Cerfontaine | 93010 | 100 % |
| Lowest | 1 | Gembloux | 92142 | 100 % |
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.
Exact BIPT NIS codes are joined to the matching annual Statbel boundary pack; cross-vintage comparison is not inferred.
Read the methodologySources, licence and provenance
Sources, licence and provenance
- Source
BIPT Atlas Mobile
- Source
- Belgian Institute for Postal Services and Telecommunications (BIPT/IBPT)
- Reuse terms
- Public source; explicit reuse terms were not stated by the publisher.
- Licence
- CC BY 4.0