Albania

albania quake 2019
On the 26th of November 2019, Albania was struck by a strong 6.3 magnitude earthquake. The earthquake caused extensive damage in 11 municipalities, including the two most populous, urbanized and developed, Tirana and Durres. The Balkan Peninsula and
Albania
Following the November 2019 earthquake in Albania, which killed 51 people, injured more than 900, and left 17,000 people displaced, the UNDRR Regional Office for Europe reached out to the former Sendai Framework Focal point for Albania, Mr. Maksimiljan

This report is the result of a compendium undertaken as part of the ‘Building Resilience to Disasters in Western Balkans and Turkey’ project, initiated by United Nations Office for Disaster Risk Reduction (UNISDR) and the World Meteorological Organization

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European Commission
World Meteorological Organization
United Nations Office for Disaster Risk Reduction - Regional Office for Europe
Europa Reinsurance Facility Ltd.
Swiss State Secretariat for Economic Affairs
Belgrade
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Durrës
The earthquake insurance workshops were attended by over 100 participants.
A major step towards implementation of a disaster risk financing framework in South Eastern Europe has been taken with the completion of a first round of training workshops on new approaches to earthquake insurance last month.
(l. to r.) Demetrio Innocenti, UNISDR Europe Office, Enno Bodzo, the vice mayor of Tirana,  and Albana Myftari, Director, Directorate of Foreign Investment Promotion, Municipality of Tirana.
This time two years ago half of Albania was covered in snow and the country appealed for international assistance. The country and the capital Tirana (pop. 418,000) also lives with the threats of earthquakes, floods, heat waves and drought.
United Nations Office for Disaster Risk Reduction
Municipality of Tirana
Tirana

This report describes the methodology used in Albania for historical disaster loss collection, the sources of data used and an analyze of the losses divided in different category groups. The historical collection of loss data is a concrete example on how