Belgiumin Maps

Official Belgian data, explained

Gender employment gap by NUTS 2 region by province in Belgium (2025)

This page maps Gender employment gap by NUTS 2 region for one nationally comparable 2025 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Labour

What this indicator measures

Gender employment gap by NUTS 2 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.

Gender employment gap by NUTS 2 region. Gender employment gap by 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
Gender employment gap by NUTS 2 region
Unit
%
Comparable areas
11
Coverage
100%

Latest published slice

How to read the pattern

Median
6.6%
Unweighted area mean
6.51%
Minimum
1.6%
Maximum
10.6%

Across the valid national comparison set, the median is 6.6 %. Values extend from 1.6 to 10.6 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Gender employment gap by NUTS 2 region, 2025. Exact official boundaries; missing values remain neutral.
  1. 1.6–6.86 areas
  2. 6.8–8.91 area
  3. 8.9–10.84 areas
  4. 10.8–13.20 areas
  5. 13.2–18.70 areas
Gender employment gap by NUTS 2 region, 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.61.6–6.816.8–8.948.9–10.8010.8–13.2013.2–18.7LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
1.6–6.86
6.8–8.91
8.9–10.84
10.8–13.20
13.2–18.70

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 Hainaut5000010.6 %
Highest2Région de Bruxelles-Capitale0400010.1 %
Highest3Provincie Antwerpen100009.4 %
Highest4Province de Liège600009.1 %
Highest5Province du Luxembourg800008.3 %
Highest6Provincie West-Vlaanderen300006.6 %
Highest7Provincie Oost-Vlaanderen400005.4 %
Highest8Provincie Limburg700004.1 %
Highest9Province du Brabant wallon200023.7 %
Highest10Provincie Vlaams-Brabant200012.7 %
Lowest11Province de Namur900001.6 %

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