Marsh supports Ukraine recovery with risk mapping tool

The Government of Ukraine has today launched a data platform allowing insurers, investors and governments to analyse war risks in the country.

Designed with support from Marsh McLennan, the data platform aggregates data from the police, military, security services, rescue services, transport services and government institutions, to deliver detailed maps of war-related incidents in Ukraine (defined as individual events relating to Russian hostilities such as missile, drone or shelling attacks) since the Russian invasion in February 2022.

This includes granular insight into the frequency and type of attacks by location over time, as well as information on the types of assets targeted, and damage levels sustained.

According to the data, some 76% of communities saw no war-related incidents in 2023 up to 1st October. The equivalent figure since the invasion began is 66%, demonstrating the progress made by Ukraine over the past year.

A further 9% of communities were low-incident communities in 2023, having experienced only one war-related incident. The analysis shows that hostilities have been concentrated on a focused set of Ukrainian communities: 9% of communities have been subject to intense shelling; 6% are communities away from the frontline that have been targeted by Russian attacks. It also shows that 101 once-occupied communities have been recovered from Russia by Ukraine since the invasion began.

Oleksiy Danilov, Secretary of the National Security and Defence Council of Ukraine which operates the platform said: “76% of communities in Ukraine have had no war related incidents this year. This demonstrates that much of Ukraine is open for investment now.”

John Doyle, president and CEO of Marsh McLennan, added: “Today marks a milestone in Ukraine’s road to recovery and reconstruction from the ongoing effects of this brutal conflict. Ukraine’s data platform – the first of its kind – empowers the global insurance and investment community as well as governments with data to evaluate risks much more accurately to create greater confidence for investment.”

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