Official Belgian data, explained

VAT enterprise survival… Survival horizon: After 1 year by province in Belgium (2023)

This page maps VAT enterprise survival rate — Survival horizon: After 1 year for one nationally comparable 2023 slice. Every figure below uses the same disclosed definition, unit, geography and source.

Business

What this indicator measures

VAT enterprise survival rate

Indicator dossier

Data passport

Selected reference period
2023
Geography
provinces
Boundary set
Statistical sectors 2024
Measure
VAT enterprise survival rate
Unit
%
Comparable areas
11
Coverage
100%

Indicator dossier

Selected slice

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

Survival horizon
After 1 year

Latest published slice

How to read the pattern

Median
89.6%
Unweighted area mean
89.7%
Minimum
88%
Maximum
91.9%

Across the valid national comparison set, the median is 89.6 %. Values extend from 88 to 91.9 %. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

VAT enterprise survival rate — Survival horizon: After 1 year, 2023. Catalogue-owned colour classes are drawn on exact official boundaries; missing values remain neutral.
  1. 55.4–67.50 areas
  2. 67.5–730 areas
  3. 73–800 areas
  4. 80–88.11 area
  5. 88.1–93.310 areas
VAT enterprise survival rate — Survival horizon: After 1 year, 2023. 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.02488–89.3: 4 areas489.3–90.6: 4 areas490.6–91.9: 3 areas3Median · 89.68891.9%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
88–89.34
89.3–90.64
90.6–91.93

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

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
Highest1Province de Namur9000091.9 %
Highest2Province du Brabant wallon2000291.2 %
Highest3Province du Luxembourg8000090.8 %
Highest4Province de Liège6000090.1 %
Highest5Provincie West-Vlaanderen3000090 %
Highest6Région de Bruxelles-Capitale0400089.6 %
Highest7Provincie Vlaams-Brabant2000189.4 %
Highest8Province du Hainaut5000089.3 %
Highest9Provincie Oost-Vlaanderen4000088.4 %
Highest10Provincie Antwerpen1000088.2 %
Lowest11Provincie Limburg7000088 %

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.

Rates are recomputed as summed survivors divided by summed cohort registrations. Registration rows repeat by horizon, so the horizon filter is mandatory and cohort-size metrics fix horizon 1.

Enterprise registration cohort; survival horizon is a required single-select filter.

Read the methodology

Sources, licence and provenance

Sources, licence and provenance

Sources, licence and provenance