Somaliya: DTM-ba Waddooyinka Qaxootiga ee El Niño iyo Dagaalka Ku Saabsan Baaritaano Ku Samaysay 5 Gobol
Maamulka DTM ayaa 14-kii June 2026-kii bilaabay baaritaan cusub oo ku saabsan qaxootiga Soomaaliya, kaas oo ujeedkiisu yahay in la raadiyo saameynta dagaalka iyo xaaladda cimilada El Niño, iyadoo todobaadkii 14-aad la baaray 5 gobol oo kaliya.
Qorshaha Baaritaanka Cusub
Maamulka DTM ayaa 14-kii June 2026-kii bilaabay baaritaan cusub oo ku saabsan qaxootiga Soomaaliya, kaas oo ujeedkiisu yahay in la raadiyo saameynta dagaalka iyo xaaladda cimilada El Niño, iyadoo todobaadkii 14-aad la baaray 5 gobol oo kaliya.
Tani waa qalab caqabad ku ah, kaas oo raadiya qaxootiga ku yimaada xaalado degdeg ah oo ka dhasha dhibaatooyin gaar ah ama dhibaatooyin cusub oo soo baxaya, iyadoo ujeeddu tahay in la taageero go'aaminta tallaabooyinka caafimaadka.
Gobollada La Baaray iyo Xaaladda Maaliyadeed
Tillabada maalinlaha ah ee todobaadkii 14-aad waxaa la baaray gobollada Baidoa, Dayniile, Diinsoor, Doolow, iyo Kahda, iyadoo la sheegay in maalgelinta hooseysa ay u saameysay in la baaro gobollada kale ee la filayay.
DTM wuxuu xaqiijiyay in kooxihii June 2026-kii ay soo ururiyeen macluumaad ka badan 13 gobol oo Soomaaliya ah, iyadoo la filayo in qaxootigu sii wado inay u gudbaan meelaha magaalada si ay u helaan adeegyada.
Macluumaadka Qaxootiga iyo Ujeeddooyinka
Bogga baaritaanka waxaa ku jira macluumaad ku saabsan dadka cusub ee yimaada, tirada iyo noocyada qaxootiga, sababaha qaxootiga, iyo baahida ugu sarreeya ee ay u baahan yihiin, iyadoo la raadiyo in la siiso caawinaad degdeg ah.
Qorshaha baaritaanka wuxuu diiradda saaraa magaalooyinka waaweyn iyo deegaannada ku dhow, iyadoo la filayo in qaxootigu sii wado inay u gudbaan meelaha magaalada si ay u helaan adeegyada.
The Displacement Tracking Matrix (DTM) assessed five districts in Somalia during Week 14 (13–16 September 2026), a reduced scope from its usual 13-district coverage due to limited funding. The tool monitors sudden displacement driven by conflict and the climatic impacts of the very strong El Niño phenomenon, which is expected to trigger significant displacement toward the end of 2026.
Scope and Methodology of the Emergency Trend Tracking
DTM launched a new round of Emergency Trend Tracking (ETT) on 14 June 2026 using an updated methodology to monitor displacement driven by conflict, as well as the climatic impacts of the very strong El Niño phenomenon, which is expected to trigger significant displacement toward the end of the year. Since June 2026, DTM teams collected data in up to 13 districts across Somalia: Baidoa, Dayniile, Diinsoor, Doolow, Kahda, Baki, Borama, Burco, Hargeisa, Bossaso, Caluula, Qandala, and Qardho.
For week 14, only 5 districts were assessed due to limited funding: Baidoa, Dayniile, Diinsoor, Doolow, and Kahda. ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises, and its objective is to support the prioritization of humanitarian response and enable partners to deliver rapid assistance.
Data Collected and Humanitarian Priorities
The ETT framework includes information on new arrivals, the number and demographics of IDPs, reasons for displacement, intentions, humanitarian assistance received, and priority needs, among others. Based on previous shock induced displacement patterns, the humanitarian community expects continued movement toward urban areas in search of services.
Consequently, ETT coverage focuses on main urban centers and surrounding villages within each assessed district. This targeted approach ensures that humanitarian partners can respond quickly to the most vulnerable populations affected by both conflict and climate shocks.
Looking Ahead: Anticipated Displacement Trends
The convergence of conflict-driven instability and the intensifying El Niño phenomenon positions Somalia for a critical displacement surge in the coming months. Humanitarian actors are urged to prepare for increased pressure on urban centers and surrounding rural areas.
As the ETT data continues to accumulate, stakeholders will gain a clearer picture of displacement flows, enabling more effective resource allocation and intervention planning across the affected regions.
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