Belgiumin MapsOfficial Belgian data, explained
Persons living in… (population aged 0 to 64 years) by province in Belgium (2025)
This page maps Persons living in households with very low work intensity by NUTS 2 region (population aged 0 to 64 years) for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Labour
What this indicator measures
Persons living in households with very low work intensity by NUTS 2 region (population aged 0 to 64 years). Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Persons living in households with very low work intensity by NUTS 2 region (population aged 0 to 64 years). Persons living in households with very low work intensity by NUTS 2 region (population aged 0 to 64 years). Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.
Indicator dossier
Data passport
- Selected reference period
- 2025
- Geography
- provinces
- Measure
- Persons living in households with very low work intensity by NUTS 2 region (population aged 0 to 64 years)
- Unit
- %
- Comparable areas
- 11
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 8.6%
- Unweighted area mean
- 10.74%
- Minimum
- 5.4%
- Maximum
- 22.1%
Across the valid national comparison set, the median is 8.6 %. Values extend from 5.4 to 22.1 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 3.8–6.182 areas
- 6.18–8.463 areas
- 8.46–11.883 areas
- 11.88–16.561 area
- 16.56–23.72 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| 3.8–6.18 | 2 | |
| 6.18–8.46 | 3 | |
| 8.46–11.88 | 3 | |
| 11.88–16.56 | 1 | |
| 16.56–23.7 | 2 |
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 | Région de Bruxelles-Capitale | 04000 | 22.1 % |
| Highest | 2 | Province du Hainaut | 50000 | 18.6 % |
| Highest | 3 | Province de Liège | 60000 | 14.7 % |
| Highest | 4 | Province de Namur | 90000 | 11.6 % |
| Highest | 5 | Province du Brabant wallon | 20002 | 10.2 % |
| Highest | 6 | Provincie Oost-Vlaanderen | 40000 | 8.6 % |
| Highest | 7 | Province du Luxembourg | 80000 | 7.6 % |
| Highest | 8 | Provincie West-Vlaanderen | 30000 | 7 % |
| Highest | 9 | Provincie Limburg | 70000 | 6.2 % |
| Highest | 10 | Provincie Antwerpen | 10000 | 6.1 % |
| Lowest | 11 | Provincie Vlaams-Brabant | 20001 | 5.4 % |
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