Belgiumin Maps
EN

Official Belgian data, explained

Age dependency ratio by district in Belgium (2100)

This page maps Age dependency ratio for one nationally comparable 2100 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Population

What this indicator measures

Population structure indicators by type of projection and NUTS3 region. Complete annual Eurostat source dimensions, units and observation flags are retained in one compact cube.

Indicator dossier

Data passport

Selected reference period
2100
Geography
administrative districts
Boundary set
Statistical sectors 2024
Measure
Population structure indicators by type of projection and NUTS3 region
Unit
%
Comparable areas
42
Coverage
97.7%

Indicator dossier

Selected slice

Exact catalogue filters applied to the map, statistics and comparison.

Demographic indicator
Age dependency ratio, 1st variant (population 0 to 14 years and 65 years or over to population 15 to 64 years)

Latest published slice

How to read the pattern

Median
83.15%
Unweighted area mean
84.42%
Minimum
72.8%
Maximum
120.9%

Across the valid national comparison set, the median is 83.15 %. Values extend from 72.8 to 120.9 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Age dependency ratio, 2100. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 43.6–63.10 areas
  2. 63.1–68.940 areas
  3. 68.94–75.561 area
  4. 75.56–81.6811 areas
  5. 81.68–122.730 areas
Age dependency ratio, 2100. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.

Areas

Value distribution

Value distributionHistogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.061272.8–75.33: 1 area75.33–77.86: 1 area77.86–80.39: 6 areas80.39–82.93: 12 areas82.93–85.46: 11 areas85.46–87.99: 6 areas87.99–90.52: 2 areas90.52–93.05: 1 area93.05–95.58: 0 areas95.58–98.12: 1 area98.12–100.65: 0 areas100.65–103.18: 0 areas103.18–105.71: 0 areas105.71–108.24: 0 areas108.24–110.77: 0 areas110.77–113.31: 0 areas113.31–115.84: 0 areas115.84–118.37: 0 areas118.37–120.9: 1 areaMedian · 83.1572.8120.9%Number of areas
Histogram of published values. The x-axis is the actual indicator value; bar height is the number of areas. The line marks the median.
ValueAreas
72.8–75.331
75.33–77.861
77.86–80.396
80.39–82.9312
82.93–85.4611
85.46–87.996
87.99–90.522
90.52–93.051
93.05–95.580
95.58–98.121
98.12–100.650
100.65–103.180
103.18–105.710
105.71–108.240
108.24–110.770
110.77–113.310
113.31–115.840
115.84–118.370
118.37–120.91

Explore this exact slice in the atlas Download this data as CSV

administrative districts

Highest and lowest values

From 42 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.

Highest and lowest values
Highest1Arrondissement Veurne38000120.9 %
Highest2Arrondissement Oostende3500097.5 %
Highest3Arrondissement Brugge3100092.4 %
Highest4Arrondissement Maaseik7200089.5 %
Highest5Arrondissement Diksmuide3200089.3 %
Highest6Arrondissement Oudenaarde4500087.7 %
Highest7Arrondissement Eeklo4300087.6 %
Highest8Arrondissement Ieper3300087 %
Highest9Arrondissement Turnhout1300086.8 %
Highest10Arrondissement Tongeren7300086.6 %
Lowest42Arrondissement de Bruxelles-Capitale2100072.8 %
Lowest41Arrondissement de Bastogne8200077.8 %
Lowest40Arrondissement Antwerpen1100078.1 %
Lowest39Arrondissement de Charleroi5200078.6 %
Lowest38Arrondissement de Liège6200078.8 %
Lowest37Arrondissement Gent4400079.3 %
Lowest36Arrondissement d’Arlon8100079.6 %
Lowest35Arrondissement Halle-Vilvoorde2300080 %
Lowest34Arrondissement de Huy6100081.3 %
Lowest33Arrondissement de Neufchâteau8400081.4 %

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 NUTS3 value mapped only to exact district geography; not a municipality value. Selectors define the source universe and unit.

Default-filter coverage on exact native geography. Verviers is intentionally unavailable for NUTS-3 datasets because the two source parts are never generically rolled up.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance

Data topic · Population

Related indicators

All indicators →