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Countries
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Data and Analysis
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Special Focus
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Crisis Responses
Somalia — Emergency Trend Tracking Dataset — (since April, 2024)
Contact
DTM Somalia Location
Somalia
Activity
- Mobility Tracking
- Event Tracking
Period Covered
Mar 30 2024 -Dec 04 2024
This latest round of Emergency Trends Tracking was initiated in April 2024 to monitor displacement movements during the Gu rainy season. From April to September 2024, DTM teams collected data in up to 22 districts: Afgooye, Afmadow, Baardheere, Baidoa, Balcad, Belet Weyne, Belet Xaawo, Cabudwaaq, Dayniile, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hobyo, Hodan, Jamaame, Jowhar, Kahda, Kismaayo, Luuq, Waajid, and Xudur. Starting week 28, data collection occurred in the 4 districts: Waajid and Xudur districts in Bakool region and Gaalkacyo and Hobyo districts in Mudug region.
ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance. Based on previous shock-induced displacement patterns, the humanitarian community expects that people will continue to move toward urban areas in search of humanitarian services. Consequently, the ETT coverage focuses on the main urban centers and surrounding villages for each assessed district. The data is collected through Key Informant Interviews (KIIs) at the location level, from Saturday to Wednesday, every week. It includes information on new arrivals, numbers and demographic of IDPs, reasons for displacement, intentions, humanitarian assistance and priority needs among others.
To facilitate the joint analysis of the CCCM (Camp Coordination and Camp Management) Cluster’s New Arrivals Tracker (NAT) and ETT data, the assistance and needs indicators are identical in both tools.
Population Groups
IDPs
Survey Methodology
Unit of Analysis Or Observation
Site or Location
Type of Survey or Assessment
Key Informant
Keywords
Geographical Scope Partial Coverage
Administrative boundaries with available data
The current dataset covers the following administrative boundaries