Belgiumin Maps

Official Belgian data, explained

Surviving VAT enterprises — Survival horizon: After 1 year by province in Belgium (2023)

This page maps Surviving VAT enterprises — 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

Surviving VAT enterprises

Surviving VAT enterprises. Surviving VAT enterprises

Indicator dossier

Data passport

Selected reference period
2023
Geography
provinces
Measure
Surviving VAT enterprises
Unit
enterprises
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
6,526enterprises
Unweighted area mean
7,806enterprises
Minimum
1,386enterprises
Maximum
16,741enterprises

Across the valid national comparison set, the median is 6,526 enterprises. Values extend from 1,386 to 16,741 enterprises. This describes geographic variation; it is not a score of local quality.

Geography

Map of Belgium

Surviving VAT enterprises — Survival horizon: After 1 year, 2023. Exact official boundaries; missing values remain neutral.
  1. 586–2,3221 area
  2. 2,322–3,7962 areas
  3. 3,796–5,1660 areas
  4. 5,166–7,2603 areas
  5. 7,260–18,8025 areas
Surviving VAT enterprises — Survival horizon: After 1 year, 2023. 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.1586–2,32222,322–3,79603,796–5,16635,166–7,26057,260–18,802LowerHigher
One bar per catalogue-owned map class. The x-axis is the indicator value range; bar height is the number of areas.
ValueAreasCategories
586–2,3221
2,322–3,7962
3,796–5,1660
5,166–7,2603
7,260–18,8025

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
Highest1Provincie Antwerpen1000016,741 enterprises
Highest2Provincie Oost-Vlaanderen4000011,782 enterprises
Highest3Provincie Vlaams-Brabant2000111,549 enterprises
Highest4Provincie West-Vlaanderen300009,942 enterprises
Highest5Région de Bruxelles-Capitale040009,445 enterprises
Highest6Province du Hainaut500006,526 enterprises
Highest7Province de Liège600006,457 enterprises
Highest8Provincie Limburg700005,555 enterprises
Highest9Province du Brabant wallon200023,282 enterprises
Highest10Province de Namur900003,196 enterprises
Lowest11Province du Luxembourg800001,386 enterprises

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.

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