Belgiumin Maps

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.

Human resources in science and technology (HRST) by category and NUTS 2 region. 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
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

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, 2025. Exact official boundaries; missing values remain neutral.
  1. 32.4–41.80 areas
  2. 41.8–46.180 areas
  3. 46.18–50.720 areas
  4. 50.72–55.94 areas
  5. 55.9–73.97 areas
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, 2025. Exact official boundaries; missing values remain neutral.

Categories

Distribution by official map class

Distribution by official map classOne bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.032.4–41.8041.8–46.18046.18–50.72450.72–55.9755.9–73.9LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
32.4–41.80
41.8–46.180
46.18–50.720
50.72–55.94
55.9–73.97

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.

Highest and lowest values
Position#AreaOfficial codeValue
Highest1Province du Brabant wallon2000273.9 % of the labour-force population
Highest2Région de Bruxelles-Capitale0400067.8 % of the labour-force population
Highest3Provincie Vlaams-Brabant2000166.5 % of the labour-force population
Highest4Provincie Antwerpen1000058.1 % of the labour-force population
Highest5Provincie Oost-Vlaanderen4000057.9 % of the labour-force population
Highest6Province de Namur9000057.7 % of the labour-force population
Highest7Province de Liège6000055.9 % of the labour-force population
Highest8Province du Luxembourg8000054.1 % of the labour-force population
Highest9Provincie Limburg7000053.5 % of the labour-force population
Highest10Province du Hainaut5000052.4 % of the labour-force population
Lowest11Provincie West-Vlaanderen3000052.3 % of the labour-force population

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 methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance