DLD completes first phase of building classification project

DLD completes first phase of building classification project
HE Sultan bin Mejren (centre) with DLD top management.
Published: 23 January 2018 - 5:12 a.m.
By: Rajiv Ravindran Pillai

Dubai Land Department (DLD) recently announced the completion of the first phase of its building classification project, an initiative from DLD to survey real estate projects across Dubai.

After a comprehensive survey of the empty land plots, villas, commercial and residential buildings, factories and shopping centers, all types of buildings in Dubai were incorporated into the project's database. Phase one focuses on (non-freehold) old areas in Dubai.

HE Sultan Butti bin Mejren, director general of DLD, said: “This important project aims to enhance the transparency in real estate transactions by ensuring accurate data is available to government and private real estate customers.

"Our target was to complete the project by the end of 2017 which we have successfully done, and today we are pleased to announce that all parties in the real estate sector are now able to benefit from the survey data”.

The survey examined 100% of land plots outside freehold areas, with the data collected focusing on the current state of the plot, whether there was a building or just vacant land, as well as determining the number of buildings, floors and units (apartments), and the nature of the property’s use (residential or commercial purposes). 

Moreover, the specifications of the property were also listed according to 64 criteria, which includes the availability of parking spaces, the age of the building, the existence of facilities and services such as lifts, as well as the profile of its location such as sea view. 

The survey revealed that 79,280 plots of land are now located in non-freehold areas, compared to 69,982 plots located in freehold areas bringing the total up to 149,262 plots.

The project will be a useful tool for government decision makers as it provides them with important data for planning governmental services and ensuring the optimal delivery to the public.

 

 

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