Official Belgian data, explained
Known education coverage, age 25+ by municipality in Belgium (2017)
This page maps Known education coverage, age 25+ for one nationally comparable 2017 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Education
What this indicator measures
Known education coverage, age 25+
Indicator dossier
Data passport
- Selected reference period
- 2017
- Geography
- municipalities
- Boundary set
- Statistical sectors 2011-2017
- Measure
- Known education coverage, age 25+
- Unit
- %
- Comparable areas
- 589
- Coverage
- 100%
Latest published slice
How to read the pattern
- Median
- 93.1%
- Unweighted area mean
- 91.3%
- Minimum
- 55%
- Maximum
- 100%
Across the valid national comparison set, the median is 93.1 %. Values extend from 55 to 100 %. This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- 55–90121 areas
- 90–92.4116 areas
- 92.4–93.7119 areas
- 93.7–94.6115 areas
- 94.6–100118 areas
Areas
Value distribution
| Value | Areas |
|---|---|
| 55–56.8 | 1 |
| 56.8–58.7 | 0 |
| 58.7–60.6 | 3 |
| 60.6–62.5 | 0 |
| 62.5–64.3 | 1 |
| 64.3–66.2 | 2 |
| 66.2–68.1 | 0 |
| 68.1–70 | 3 |
| 70–71.9 | 5 |
| 71.9–73.7 | 2 |
| 73.7–75.6 | 1 |
| 75.6–77.5 | 4 |
| 77.5–79.4 | 3 |
| 79.4–81.2 | 10 |
| 81.2–83.1 | 9 |
| 83.1–85 | 7 |
| 85–86.9 | 14 |
| 86.9–88.7 | 29 |
| 88.7–90.6 | 48 |
| 90.6–92.5 | 104 |
| 92.5–94.4 | 198 |
| 94.4–96.2 | 139 |
| 96.2–98.1 | 5 |
| 98.1–100 | 1 |
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municipalities
Highest and lowest values
From 589 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Highest | 1 | Herstappe | 73028 | 100 % |
|---|---|---|---|---|
| Highest | 2 | Donceel | 64023 | 96.6 % |
| Highest | 3 | Oosterzele | 44052 | 96.5 % |
| Highest | 4 | Olne | 63057 | 96.4 % |
| Highest | 5 | Lierde | 45063 | 96.4 % |
| Highest | 6 | Zwalm | 45065 | 96.3 % |
| Highest | 7 | Verlaine | 61063 | 96.2 % |
| Highest | 8 | Héron | 61028 | 96 % |
| Highest | 9 | Zingem | 45057 | 96 % |
| Highest | 10 | Fexhe-le-Haut-Clocher | 64025 | 95.9 % |
| Lowest | 589 | Saint-Josse-ten-Noode | 21014 | 55 % |
| Lowest | 588 | Ixelles | 21009 | 59.2 % |
| Lowest | 587 | Etterbeek | 21005 | 59.3 % |
| Lowest | 586 | Saint-Gilles | 21013 | 60.1 % |
| Lowest | 585 | Bruxelles | 21004 | 63.4 % |
| Lowest | 584 | Schaerbeek | 21015 | 65.2 % |
| Lowest | 583 | Raeren | 63061 | 65.4 % |
| Lowest | 582 | Anderlecht | 21001 | 68.6 % |
| Lowest | 581 | Molenbeek-Saint-Jean | 21012 | 69 % |
| Lowest | 580 | Baarle-Hertog | 13002 | 69.7 % |
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.
Education shares use only age-25+ LOW/MIDDLE/HIGH as the known denominator. UNK is excluded from attainment shares and exposed through the known-coverage KPI. District components are summed through explicit municipality districtCode and shares are recomputed after selection.
Statbel DataLab reference year 2017.
Read the methodologySources, licence and provenance