Official Belgian data, explained
Human resources in science… in science and technology by province in Belgium (2025)
This page maps Human resources in science and technology (HRST) by category and NUTS 2 region — Science and technology category: Persons with tertiary education (ISCED) and/or employed in science and technology for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Society
What this indicator measures
Human resources in science and technology (HRST) 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
- 2025
- Geography
- provinces
- Boundary set
- Statistical sectors 2024
- Measure
- Human resources in science and technology (HRST) by category and NUTS 2 region
- Unit
- % of the labour-force population
- Comparable areas
- 11
- Coverage
- 100%
Indicator dossier
Selected slice
Exact catalogue filters applied to the map, statistics and comparison.
- Science and technology category
- Persons with tertiary education (ISCED) and/or employed in science and technology
Latest published slice
How to read the pattern
- Median
- 57.7% of the labour-force population
- Unweighted area mean
- 59.1% of the labour-force population
- Minimum
- 52.3% of the labour-force population
- Maximum
- 73.9% of the labour-force population
Across the valid national comparison set, the median is 57.7 % of the labour-force population. Values extend from 52.3 to 73.9 % of the labour-force population. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 32.4–41.80 areas
- 41.8–46.180 areas
- 46.18–50.720 areas
- 50.72–55.94 areas
- 55.9–73.97 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 52.3–59.5 | 8 |
| 59.5–66.7 | 1 |
| 66.7–73.9 | 2 |
Explore this exact slice in the atlas Download this data as CSV
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.
| Highest | 1 | Province du Brabant wallon | 20002 | 73.9 % of the labour-force population |
|---|---|---|---|---|
| Highest | 2 | Région de Bruxelles-Capitale | 04000 | 67.8 % of the labour-force population |
| Highest | 3 | Provincie Vlaams-Brabant | 20001 | 66.5 % of the labour-force population |
| Highest | 4 | Provincie Antwerpen | 10000 | 58.1 % of the labour-force population |
| Highest | 5 | Provincie Oost-Vlaanderen | 40000 | 57.9 % of the labour-force population |
| Highest | 6 | Province de Namur | 90000 | 57.7 % of the labour-force population |
| Highest | 7 | Province de Liège | 60000 | 55.9 % of the labour-force population |
| Highest | 8 | Province du Luxembourg | 80000 | 54.1 % of the labour-force population |
| Highest | 9 | Provincie Limburg | 70000 | 53.5 % of the labour-force population |
| Highest | 10 | Province du Hainaut | 50000 | 52.4 % of the labour-force population |
| Lowest | 11 | Provincie West-Vlaanderen | 30000 | 52.3 % of the labour-force population |
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.
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