Event Tracking

IOM Yemen DTM’s Rapid Displacement Tracking (RDT) tool collects data on estimated numbers of households forced to flee on a daily basis from their locations of origin or displacement, allowing for regular reporting of new displacements in terms of estimated numbers, geography, and needs. It also tracks returnees who returned to their location of origin.

From 1 January to 30 March 2024, IOM Yemen DTM tracked 904 households (HH) (5,424 Individuals) who experienced displacement at least once.

Between 24 and 30 March 2024, IOM Yemen DTM tracked 18 households (108 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Ma’rib (12 HHs) – Ma’rib City (6 HHs), Ma’rib (4 HHs), Harib (2 HHs) districts. Most displacements in the governorate originated from Ma’rib and Dhamar.
• Ta’iz (3 HHs) – Al Makha (3 HHs) district. All displacements in the governorate were internal.
• Al Hodeidah (2 HHs) – Hays (2 HHs) district. All displacements in the governorate were internal.

The majority of people moved from the following governorates and districts:

• Ta’iz (4 HHs) – Mawza (3 HHs), Ash Shamayatayn (1 HH) districts.
• Al Hodeidah (3 HHs) – Al Jarrahi (2 HHs), Al Marawiah (1 HH) districts.
• Ibb (2 HHs) – Ar Radmah (1 HH), Al Qafr (1 HH) districts.

IOM identified 7 households displaced in the previous reporting period, which covered 17 - 23 March 2024, in the governorates of Ta’iz (4 HHs), and Ma’rib (3 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.

La DTM a identifié 5,209 personnes affectées, dont 1,168 personnes déplacées par les vents violents, les inondations, et les pluies torrentielles dans les provinces de Makamba, Cankuzo, Rutana, Rumonge, et Bujumbura Maie.  

La DTM a identifié 14,613 personnes affectées, dont 4,881 personnes déplacées par les Inondations, la grêle, les vents violents, et les pluies torrentielles dans les provinces de Bujumbura Rural, Ngozi, Rutana, Makamba, Kirundo, Cankuzo, et Makamba.

To monitor El Niño-related displacements, DTM Somalia runs ETT activities in 23 districts within four regions in Somalia. 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.

To monitor El Niño-related displacements, DTM Somalia runs ETT activities in 43 districts within eleven regions in Somalia. 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.

La DTM Burundi a le plaisir de vous partager (dans le lien ci-dessus) des informations sur les urgences qui se sont produites au Burundi en dates du 17 au 23 mars 2024. La DTM a identifié 3 349 personnes affectées (901 ménages) dont 2 429 personnes déplacées (627 ménages) par les inondations, les vents violents et les pluies torrentielles dans les provinces de Bujumbura Rural, Cibitoke, Makamba, Rumonge et Kirundo.

IOM Yemen DTM’s Rapid Displacement Tracking (RDT) tool collects data on estimated numbers of households forced to flee on a daily basis from their locations of origin or displacement, allowing for regular reporting of new displacements in terms of estimated numbers, geography, and needs. It also tracks returnees who returned to their location of origin.

From 1 January to 23 March 2024, IOM Yemen DTM tracked 879 households (HH) (5,274 Individuals) who experienced displacement at least once.

Between 17 and 23 March 2024, IOM Yemen DTM tracked 34 households (204 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Ma’rib (22 HHs) – Ma’rib (11 HHs), Ma’rib City (10 HHs), Harib (1 HH) districts. Most displacements in the governorate originated from Ma’rib and Al Hodeidah.
• Al Hodeidah (5 HHs) – Al Khukhah (5 HHs) district. Most displacements in the governorate originated from Ta’iz and Al Hodeidah.
• Ta’iz (5 HHs) – As Silw (2 HHs), Al Maafer (1 HH), Al Misrakh (1 HH) districts. Most displacements in the governorate originated from Ta’iz and Aden.

The majority of people moved from the following governorates and districts:

• Al Hodeidah (8 HHs) – Bajil (3 HHs), At Tuhayta (2 HHs), Bayt Al Faqih (1 HH) districts.
•  Ta’iz (8 HHs) – Jabal Habashi (3 HHs), Al Makha (2 HHs), As Silw (2 HHs) districts.
• Ma’rib (6 HHs) – Al Jubah (3 HHs), Harib (2 HHs), Raghwan (1 HH) districts.

IOM identified 15 households displaced in the previous reporting period, which covered 10 - 16 March 2024, in the governorates of Ma'rib (5 HHs), Al Hodeidah (5 HHs), Ta’iz (3 HHs), and Ad Dali (2 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.

Between 08 February and 22 March 2024, sporadic attacks and fear of attacks by Non-state Armed Groups in Quissanga and Ibo triggered the cumulative displacement of 465 individuals (corresponding to 189 families). [For more see Mozambique - Event Tracking Tool Dashboard].

In February 2024, there were 277 alerts reported alerts, with 238 (86%) classified as events and 39 (14%) as movement alerts. In Adamawa state, Demsa, Lamurde, Girei, and Shelleng LGAs reported event alerts in all instances of reported alerts in the LGAs. Conversely, no movement alerts were reported in these LGAs. In Mayo-Belwa LGA, 83 per cent of reported alerts were events-related, while 17 per cent of alerts were attributed to movements. In Guyuk LGA, 41 per cent of alerts were associated with events, while 59 per cent were linked to movements. In Taraba state, Zing LGA predominantly reported 79 per cent of event alerts, while movements-related alerts constituted 21 per cent of the total. Similarly, Lua LGA reported 40 per cent of alerts as events-related and 60 per cent as movements-related. Disaggregated ward-level data reveals that Kodompti ward in Numan LGA of Adamawa state reported the highest percentage of events, accounting for 9 per cent of the total incidents across the LGAs.