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Display™ Campaign results update

There are currently 114 cities from 19 countries involved in the Display™ Campaign of which 99 are registered on the website. More than 1950 buildings representing 11 building types have been entered. The results of the most recent statistical analysis are presented below.


Distribution of Building Types

The choice of building types within the calculation tool has evolved since the start of the project: Initially ‘general school’ was the only building type available, while in March 2004 there were four building classes available to the users of the tool, by June 2005 the choice had increased to 11 types ranging from rescue centres to multi-residential. The results can easily be seen when comparing the two graphs from March 2005 and October 2005. While in March, 83% of the buildings registered were educational, this number had decreased to 65% in October. As the numbers of buildings entered increases by building type it will become easier to fix precise benchmarks per building type before the end of the year.


Number of Members and Buildings per Country

Member cities per country

Austria 1 Greece 2
Belgium 1 Ireland 12
Bulgaria 2 Italy 7
Switzerland 9 Netherlands 3
Germany 6 Poland 1
Denmark 1 Portugal 3
Spain 2 Romania 1
Finland 1 Sweden 1
France 51 Slovakia 1
Great Britain 11

Currently more than 2050 buildings have been entered. This constitutes a remarkable increase from the 1350 buildings registered at the end of May this year. Forerunner is the municipality of Durham in Great Britain with more than 400 buildings entered. This is also the reason why Great Britain has a high percentage of buildings per country, as can be seen in the graph above, even though they have 11 cities involved compared to the 51 in France.


Distribution of Buildings According to Class

As there is insufficient data for all building types it was considered more suitable to show a selection of building types with sufficient data, namely administrative and educational, rather than put all the building types into one graph.

These two graphs indicate that in general the statistics follow a classic bell curve. However, there is consistently a peak in the G category thus showing the need for a ‘towards Class A’ help centre where municipalities can seek advice on practical measures to improve the rating of their buildings.

 
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