Inner-city suburbs continue to top the list of Melbourne’s most liveable new analysis shows.
Ever-popular Fitzroy was deemed most the liveable suburb in the top 50 list for its walkability, numerous shops and proximity to health facilities.
The data compiled by onthehouse.com.au, rates Fitzroy, Carlton, East Melbourne, North Fitzroy and North Melbourne as the top five locations for liveability.
Princes Hill, Collingwood, Cremorne, Carlton North and Melbourne round out the top 10.
According to propella.ai’s liveability ratings system, Melbourne’s top 50 most liveable suburbs range in score from 7.8 for Preston in 50th spot in the city’s north to 9.8 for Fitzroy, 3km north-east of the CBD.
The new system, which rates areas within Greater Melbourne for ‘liveability’, convenience and connectivity, is designed to help house hunters identify areas to live that would suit their needs.
The system, which applies a score out of 10 using geospatial data from PropTech firm propella.ai, measures the connectivity of a local area in relation to a range of amenities such as shops, schools, parks, public transport, health facilities and footpath network.
CoreLogic’s Head of Data Products James Vaughan says users identified ‘liveability’ as a valuable insight that would help them assess various locations when looking for a property.
“Liveability has been identified as a key factor in determining the appeal of an area, and providing these insights to users is designed to help them make more informed decisions, amongst many other factors, about where to buy, rent or invest,” Mr Vaughan said.
Propella.ai Managing Director Gus McLennan said the liveability scores reflected what it means to live within a 20-minute neighbourhood and have easy access to facilities and essential services.
“The scores are largely comprised of two main elements, walking time to a local facility and the number of facilities within a 20-minute walk,” Mr McLennan said.
“These scores easily demonstrate the liveability of an area.
“By looking at each of the different criteria that make up those scores, users can get a deeper understanding of those features that may be more or less important to them.”
