Dashboard/Fact Sheet

During this reporting period, DTM teams recorded 6,070 new arrivals across 511 settlements in the 15 districts DTM is operating in. Floods induced the majority of new displacements (75%), with the other main causes being conflict (15%), drought (7%), other causes (2%), and eviction (1%).

The IOM Afghanistan’s DTM Flow Monitoring activity is designed to provide insights into the mobility patterns at Afghanistan’s border points with the Islamic Republic of Iran and Pakistan. The activity involves two interlinked exercises: the Flow Monitoring Counting (FMC), a headcount of individuals crossing the border, and the Flow Monitoring Surveys (FMS), which collect data on the profiles and intentions of randomly selected Afghan nationals. DTM FM is operational at four main crossing points (connected to Afghanistan’s National Highway) as well as six other crossing points with Islamic Republic of Iran and Pakistan. This weekly snapshot combines information from the FM activity and various IOM sources related to cross-border movement. For a detailed explanation of the methodology used in gathering this data, the report directs readers to the section titled “IOM INFLOW DATA” on the last page.

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 juin 2024. La DTM a identifié 476 personnes affectées (95 ménages) dont 176 personnes déplacées (40 ménages) par les vents violents dans la province de Makamba.

This report is an overview of the data collected from 1 to 31 May 2024 at Mangochi FMP in Malawi along the border with Mozambique and Karonga FMP in Malawi along the border with the United Republic of Tanzania. The Flow Monitoring Registry (FMR) collects data at Flow Monitoring Points (FMPs) through direct observation and interviews with key informants, including staff working at transit stations, border patrol officers, local authorities, bus or taxi drivers and travellers themselves. The FMR gathers data on the number of travellers crossing FMPs, as well as the provenance, next destination, vulnerabilities and means of transport of travellers.

This fact sheet provides a bi-weekly update on migration-related events off the Libyan coast. During the reporting period, 226 migrants were intercepted and returned to Libya during the reporting period.

IOM Uganda is pleased to share with you it’s the third Refugee Flow Monitoring report (FMR) for the period between 20 April to 20 May 2024 which is under the EU funded project aiming at “Strengthening Uganda’s national and sub-national institutions and systems to address the challenges of forced displacement and migration in Uganda”.

Over the reporting period, a total of 7,827 movements were observed at five Flow Monitoring Points (FMPs). These locations were chosen strategically as major transit points for monitoring movements in and out of Nakivale refugee settlement from the border between Uganda and the Democratic Republic of Congo through Nyakabande Transit Center.

More than half (69%) of the migrants at the Flow Monitoring Points self-declared as Congolese, Ugandans (20%), Burudian (5%), Rwandese (4%) and Others (2%).

The majority of movement from Nakivale refugee settlement were incoming flows (59%) against outgoing flows (41%). Forty-three per cent of the observed movements were refugees at the five Flow Monitoring Points. The means of transport mostly used were by foot (38%), motor bike & bike (31%), taxi or car (18%), truck (7%), bus (5%) and others (1%).

The majority of the flows were due to family reasons (20%), forced movement due to conflict (18%) and economic reasons (18%). Most of the movements were observed at the Nakivale check point FMP (32%) followed by Busanza (31%), Bunagana (17%), Nyakabande Transit Center (12%) and Rugaaga (8%). Among the migration flows, the most vulnerable groups were children under five (8%), pregnant and/lactating mother (7%) and the elderly (<1%).

On 29 and 30 June 2024,  armed bandits attacked the communities of Sabaru, Tukurwa in Zurmi ward of Zurmi local government area (LGA) and Magezawa in Galadima Dan Galadima ward in Kaura Namoda local government area (LGA) of Zamfara State and the community Idon ruwa in Tidibale ward of Isa local government area (LGA) of Sokoto State. Ten casualties/injuries were reported. The attack affected 1, 133 individuals in 227 households. The affected individuals included 634 children, 281 women and 218 men.

Of all the needs identified, food and security were the most prevalent. Other needs included shelter and non-food items (NFI).

Following these events, DTM (Displacement Tracking Matrix) field staff conducted rapid assessments to inform the humanitarian community and Government/partners, and to enable a targeted response. 

This report provides an overview of the findings from the Transhumance Tracking Tool (TTT) feedback survey, focusing on the impact of TTT activities in Kaduna and Katsina states, particularly in conflict mitigation and peacebuilding among farmers and herders communities. It highlights the key areas where the TTT has been most effective and identifies opportunities for further improvement. The International Organization for Migration (IOM) is implementing the TTT activity through the Displacement Tracking Matrix (DTM), in line with its global methodology and framework under mobility tracking. The TTT component comprises the Early Warning and Early Response (EWER) system and Transhumance Flow Monitoring (TFM).
The survey was conducted between 05 - 15 April 2024, through Focus Group Discussions (FGDs) and direct interviews at the Local Government Area (LGA) and state levels, investigating the relevance and impact of TTT activities in communities where TTT is active. The key findings indicate a high level of awareness, with 100 per cent of respondents acknowledging TTT activities and their contribution to conflict mitigation and peacebuilding. Improved peace in the community was cited by 42 per cent of respondents, while 24 per cent noted that TTT activity supported conflict prevention, mitigation, and resolution.

This infographic presents the key findings of Round 52 of the mobility tracking and flow monitoring components of the Displacement Tracking Matrix (DTM) programme in Libya.

Between 17 and 23 June 2024, a total of 1,270 new arrivals were recorded at locations in Adamawa and Borno states. The new arrivals were recorded at locations in Askira/Uba, Bama, Biu, Damboa, Gubio, Gwoza, Mafa, Magumeri, and Ngala Local Government Areas (LGAs) of the most conflict-affected Borno State, and in Fufore, Girei, Gombi, Guyuk, Lamurde, Madagali, Maiha, Michika, Mubi North, Song, Yola North and Yola South LGAs of Adamawa State.

ETT assessments identified the following movement triggers: poor living conditions (317 individuals or 25%), seasonal farming (296 individuals or 23%), improved security (242 individuals or 19%), military operations (225 individuals or 18%), family re-unification (110 individuals or 9%), attack (50 individuals or 4%) and fear of attack (30 individuals or 2%).