Displacement Tracking Matrix (DTM) Haiti - Hurricane Matthew Response, February 2017

Situation Report
Originally published
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On the morning of Tuesday 4 October 2016, Hurricane Matthew made landfall in the Grand Anse and Southern Peninsula as a Category 4 hurricane, with heavy rain, strong winds and flooding. Winds up to 150 mph (240 km/h) barrelled into southern coastal towns including Jeremie, Les Cayes, Port Salut, Dame Marie and Jacmel causing major damage to tin-roof homes, schools and other public buildings. Between 20 and 40 inches of rain were recorded across the southern Peninsula, which combined with important storm surge, caused major flooding across the entire region. As a result of the hurricane, many households have taken refuge in locally designated evacuation centers as well as other buildings which have served as evacuation centers.

Following a request from the Ministry of Interior (MICT) and due to the emergency of the situation and the multitude of needs, IOM tailored its Displacement Tracking Matrix process to respond to hurricane Matthew. The objective of the DTM is to acquire timely and accurate information on the displaced population living in the hurricane affected departments (Grand Anse, Sudand Nippes). Furthermore, DTM data aims to assist and advise both the Government of Haiti and humanitarian response actors in order to implement an effective recovery strategy. IOM uses various DTM tools to collect, analyze and disseminate information. The information produced by the DTM is shared with all relevant stakeholders through regular reports, factsheet, maps and tables and includes data on:

  1. Overall situation and damage assessment of the areas affected by hurricane Matthew
  2. Shelter assessments and registration of displaced population (inventory of all evacuation shelters in use and registration of their population)
  3. Mapping of affected areas with building inventory and status (damaged, partially damaged, severely damaged, destroyed or not damaged)
  4. Demographics, vulnerabilities, and socio-economic profile of the displaced populations linked to the inventoried buildings.
  5. Population movement trends and tracking of the displacement
  6. Sectoral needs, gaps, and service provisions to the displaced populations