Belgiumin MapsOfficial Belgian data, explained
Cause-specific standardized mortality ratio by district by district in Belgium (2022)
This page maps Cause-specific standardized mortality ratio by district for one nationally comparable 2022 slice. Every figure below uses the same disclosed definition, unit, geography and source.
Health
What this indicator measures
Observed divided by expected deaths from Belgian reference rates, multiplied by 100, for the selected terminal ICD-10 cause; observed/expected deaths and the 95% confidence interval are retained.
Cause-specific standardized mortality ratio by district. Observed divided by expected deaths from Belgian reference rates, multiplied by 100, for the selected terminal ICD-10 cause; observed/expected deaths and the 95% confidence interval are retained.
Indicator dossier
Data passport
- Selected reference period
- 2022
- Geography
- administrative districts
- Measure
- Cause-specific standardized mortality ratio by district
- Unit
- index (reference = 100)
- Comparable areas
- 43
- Coverage
- 100%
Indicator dossier
Selected slice
Exact catalogue filters applied to the map, statistics and comparison.
- Cause of death (ICD-10)
- All natural death (ICD-10=A00-R99,U07)
- Sex
- All sexes
Latest published slice
How to read the pattern
- Median
- 98.9index (reference = 100)
- Unweighted area mean
- 103.62index (reference = 100)
- Minimum
- 88.18index (reference = 100)
- Maximum
- 126.35index (reference = 100)
Across the valid national comparison set, the median is 98.9 index (reference = 100). Values extend from 88.18 to 126.35 index (reference = 100). This describes geographic variation; it is not a score of local quality.
Geography
Map of Belgium
- -126.35–-84.230 areas
- -84.23–-42.120 areas
- -42.12–-0.010 areas
- -0.01–0.010 areas
- 0.01–42.120 areas
- 42.12–84.230 areas
- 84.23–126.3543 areas
Categories
Distribution by official map class
| Value | Areas | Categories |
|---|---|---|
| -126.35–-84.23 | 0 | |
| -84.23–-42.12 | 0 | |
| -42.12–-0.01 | 0 | |
| -0.01–0.01 | 0 | |
| 0.01–42.12 | 0 | |
| 42.12–84.23 | 0 | |
| 84.23–126.35 | 43 |
Explore this exact slice in the atlas
administrative districts
Highest and lowest values
From 43 comparable areas, the table shows a concise descriptive high-and-low sample. Equal values do not imply equal local circumstances.
| Position | # | Area | Official code | Value |
|---|---|---|---|---|
| Highest | 1 | Arrondissement de Charleroi | 52000 | 126.35 index (reference = 100) |
| Highest | 2 | Arrondissement de Mons | 53000 | 123.86 index (reference = 100) |
| Highest | 3 | Arrondissement de Thuin | 56000 | 122.73 index (reference = 100) |
| Highest | 4 | Arrondissement de La Louvière | 58000 | 121.02 index (reference = 100) |
| Highest | 5 | Arrondissement de Huy | 61000 | 120.91 index (reference = 100) |
| Highest | 6 | Arrondissement de Virton | 85000 | 120.04 index (reference = 100) |
| Highest | 7 | Arrondissement de Soignies | 55000 | 119.03 index (reference = 100) |
| Highest | 8 | Arrondissement de Waremme | 64000 | 118.83 index (reference = 100) |
| Highest | 9 | Arrondissement de Philippeville | 93000 | 118.24 index (reference = 100) |
| Highest | 10 | Arrondissement de Tournai-Mouscron | 57000 | 117.15 index (reference = 100) |
| Lowest | 43 | Arrondissement Maaseik | 72000 | 88.18 index (reference = 100) |
| Lowest | 42 | Arrondissement Halle-Vilvoorde | 23000 | 90.01 index (reference = 100) |
| Lowest | 41 | Arrondissement Veurne | 38000 | 90.38 index (reference = 100) |
| Lowest | 40 | Arrondissement Roeselare | 36000 | 90.4 index (reference = 100) |
| Lowest | 39 | Arrondissement Brugge | 31000 | 90.52 index (reference = 100) |
| Lowest | 38 | Arrondissement Oudenaarde | 45000 | 90.87 index (reference = 100) |
| Lowest | 37 | Arrondissement Leuven | 24000 | 90.88 index (reference = 100) |
| Lowest | 36 | Arrondissement Kortrijk | 34000 | 91.01 index (reference = 100) |
| Lowest | 35 | Arrondissement Mechelen | 12000 | 91.55 index (reference = 100) |
| Lowest | 34 | Arrondissement Gent | 44000 | 91.95 index (reference = 100) |
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.
Source-native district observations; no higher-grain value is assigned to a lower geography.
Read the methodologySources, licence and provenance
Sources, licence and provenance
- Source
- Sciensano
- Licence
- CC BY 4.0