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Over 23,000 homes 'at risk of climate change flooding'


Flood defences in Clontarf, which is vulnerable

Flood defences in Clontarf, which is vulnerable

Flood defences in Clontarf, which is vulnerable

More than 23,000 homes and premises in Dublin are in danger of coastal flooding caused by climate change, data compiled for the insurance industry has shown.

In a worst-case scenario, with sea level rise exacerbated by high tide and an extreme weather event, some properties could be hit by storm surges up to five metres high.

A total of 23,435 properties, 21,513 of them homes, fall within the flood zone. That is nearly 4pc of all addresses in Dublin.

Baldoyle, Sutton, Portmarnock, Clontarf, East Wall, Ringsend, Irishtown, Sandymount, Booterstown and Blackrock are the most vulnerable.

The forecast was compiled by Irish firm Gamma Location Intelligence, which specialises in data mapping and insurance risk models.

Senior spatial data scientist Richard Cantwell said that, based on average flood claims, the financial impact of coastal flooding caused by climate change on properties alone would be more than €616m in Dublin.


Current claims average around €21,000 for damage to homes and nearly €81,000 for commercial properties.

That does not include loss of vehicles, belongings, disruption to business or the cost to the State of clean-ups and repairs to infrastructure.

Nationally, more than 70,000 homes and businesses would be affected.

Dublin, Louth and Clare would suffer the greatest damage in terms of numbers of properties affected, but the impact would be felt in all 14 coastal counties.

Louth would be the most vulnerable, with 19pc of all the county's addresses under threat.

In Clare, 13pc of homes and premises would be hit, and in Limerick, nearly 6pc would be under water.

"Global warming is already having an impact on our lives, but the effects will become more tangible and extreme in years to come," Mr Cantwell said.

The forecast uses flood modelling carried out for the Office of Public Works, temperature predictions from the UN's Intergovernmental Panel on Climate Change and Eircode data to map out at-risk properties.


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