This latest round of Emergency Trends Tracking was initiated in April 2024 to monitor displacements movements during the Gu rainy season. Districts covered in this round include Afgooye, Afmadow, Baardheere, Baidoa, Balcad, Belet Weyne, Belet Xaawo, Cabudwaaq, Dayniile, Dhuusamarreeb, Doolow, Gaalkacyo, Garoowe, Hodan, Jamaame, Jowhar, Kahda, Kismaayo, and Luuq. 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 Sunday 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.

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 14 September 2024, IOM Yemen DTM tracked 2,633 households (HH) (15,798 Individuals) who experienced displacement at least once.

Between 8 and 14 September 2024, IOM Yemen DTM tracked 86 households (516 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Lahj (59 HHs) – Al Musaymir (59 HHs) district. All displacements in the governorate were internal.
• Ma’rib (14 HHs) – Ma’rib City (8 HHs), Ma’rib (6 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Al Mahwit.
• Ta’iz (7 HHs) – Al Maafer (5 HHs), Al Misrakh (2 HHs) districts.. Most displacements in the governorate originated from Ta’iz and Al Hodeidah.

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

• Lahj (63 HHs) – Al Musaymir (63 HHs) district.
• Al Hodeidah (7 HHs) – Ad Dohi (2 HHs), Al Qanawis (2 HHs), Al Hali (1 HH) districts.
• Ta’iz (7 HHs) – Maqbanah (5 HHs), Mawiyah (1 HH), Al Qahirah (1 HH) districts.

IOM identified 186 additional households displaced in the previous reporting period, which covered 01 - 07 September 2024, in the governorates of Lahj (168 HHs), Al Hodeidah (9 HHs), Ma’rib (7 HHs), and Ta’iz (2 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.

This report is an overview of the data collected from 1 to 31 July 2024 at Mangochi FMP in Malawi along the border with Mozambique. 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 report is an overview of the data collected from 1 to 31 July 2024 at 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.

South Sudan is currently facing a complex humanitarian crisis characterized by extensive internal displacement. This situation is driven by a variety of factors, including communal conflicts, land disputes, insecurity, violence, natural disasters, and cross-border movements. Each of these elements contributes to ongoing instability and increased vulnerabilities experienced by the population. Between 16 and 31 August 2024, the Displacement Tracking Matrix (DTM) recorded significant displacement events affecting a total of 76,233 individuals. The majority of these displacements occurred in Upper Nile state, where 39,736 individuals were affected in Renk County. Additionally, Jonglei state experienced the displacement of 10,816 individuals in Fangak and Pochalla counties, while Northern Bahr el Ghazal recorded 8,160 displaced persons in Aweil West and Aweil North counties. Information from key informants revealed that these displacements were primarily due to disasters associated with flooding. The consequences of these displacements have led to an urgent need for humanitarian assistance among the affected populations. Those who have been displaced have identified their most pressing requirements as food, non-food items, and shelter. These priorities underscore the critical need for immediate humanitarian intervention to address the basic survival needs of those impacted by this crisis.

Following the release of the first edition of PROGRESS 2023 report, the Displacement Tracking Matrix (DTM) carried out focus group discussions to understand the nuances of the effects of displacement from the perspectives of individuals who were displaced, had returned or were part of non-displaced communities which hosted IDPs. The focus group discussions served as a forum to share viewpoints that are not often captured by traditional data collection exercises, including affected communities' perceptions of cultural and gendered effects of displacement in their communities. The discussions were conducted in local languages and translated by IOM DTM staff.

This report presents a deeper country-specific dive into the findings of the qualitative analysis of six focus group discussions conducted between 1 and 15 August 2023 in South West Ethiopia People’s region and Afar region with 59 representatives from the IDP, returning IDP and non-displaced resident communities. Sixty per cent of respondents were male and the remaining 40 per cent were female. Seventy-three per cent of respondents were between the ages of 18 and 59, the remaining 22 per cent were older than 60 years, and 5 per cent were youth.

Following the release of the first edition of PROGRESS 2023 report, the Displacement Tracking Matrix (DTM) has compiled a series of National Displacement Profiles based on end of year 2023 figures. These profiles offer insights into the latest end-of-year 2023 figures, aligning with the objectives outlined by the Data for Solutions to Internal Displacement Taskforce (DSID).

The profile provides a comprehensive overview of the demographic breakdowns and geographical distribution of internally displaced persons (IDPs) in Ethiopia as of the end of 2023. It delves into the primary areas of origin and displacement for IDPs, shedding light on the factors influencing their decision-making processes regarding the selection of solutions locations.

This compilation underscores the critical role of data in addressing internal displacement challenges and highlights the ongoing efforts to leverage data-driven solutions through collaborative initiatives like DSID.

Entre juin 2022 et juin 2024, la Matrice de Suivi des Déplacements (Displacement Tracking Matrix, DTM en anglais) de l’Organisation internationale pour les migrations (OIM) et le Joint IDP Profiling Service (JIPS) a mis en oeuvre et contrôlent le projet financé par ECHO : Dégradation de l’environnement et déplacements : utiliser les données centrées sur les citoyens pour améliorer la programmation humanitaire. Au cours du projet, deux cycles de collecte de données ont été réalisés. Le premier a eu lieu entre le 11 et le 22 décembre 2023 et le second
entre le 4 et le 29 avril 2024 dans 6 communes (65 Collines) à travers 4 provinces du Burundi. Ce rapport présente un résumé des données
collectées dans les 65 collines, en indiquant le sexe et l’âge des répondants ainsi que les catégories de vulnérabilité dans chaque colline. Le rapport décrit une analyse des risques, des conséquences, des facteurs contributifs et des solutions au niveau des collines.

Les résultats présentés ici ont été recueillis à l'aide de l'approche d'intelligence collective créée au cours du projet. Pour en savoir plus sur cette approche, consultez l'étude de cas du projet : 'L'utilisation des Méthodes d'Intelligence Collective : Cartographie participative et données générées par les citoyens pour lutter contre la dégradation de l'environnement et les déplacements de population'.

Si vous avez eu l'occasion de lire ou d'utiliser ce rapport, nous vous invitons à répondre à une courte enquête en français (lien ici) ou en anglais (lien ici). Nous apprécions beaucoup votre retour d'information.  

Since June 2022, the International Organization for Migration (IOM) Displacement Tracking Matrix (DTM) and the Joint IDP Profiling Service (JIPS) have been collaborating on the ECHO-funded project titled “Environmental Degradation and Displacement: Leveraging Citizen-Centered Data to Enhance Humanitarian Programming.” This initiative aims to address the growing challenge of displacement driven by environmental factors. To address this, IOM and JIPS are spearheading a Collective Intelligence (CI) initiative focused on Disaster Displacement and Anticipatory Action, particularly in Humanitarian Implementation Plan (HIP) priority areas in the East and Horn of Africa. The study’s findings will contribute to strengthening early warning systems already operational in Burundi.

Collective Intelligence to Address Environmental Degradation and Displacement 

Collective Intelligence can be understood as the enhanced capability that emerges when groups of people work together, pooling their knowledge, skills, and insights to solve problems and make decisions more effectively than individuals working alone (UNDP, 2021). Using analytical tools to process and synthesise this information, CI can reveal patterns and insights that might not be evident otherwise and ensures that solutions and decisions reflect the collective input of the group, creating effective and inclusive outcomes.

Collective Intelligence Project 

The project, as described below, included Community Consultations in nine collines with 115 Focus Group Discussions (FGDs) participants (51% male, 49% female). Data collection using the CI tool covered 65 collines in six communes across four provinces in Burundi, three of which border Lake Tanaganyika, which included 3,373 survey respondents (59% male, 42% female). Throughout the project 2,520 incidences of damage or impacts of weather-related disasters as well as 2,311 prevention and mitigation measures were mapped. The project closed with Community Validation Sessions held in nine collines with 144 FGD participants (52% male, 48% female). This case study can be used to replicate this CI approach in other regions facing similar challenges. As such, this approach will contribute to global efforts in disaster risk reduction (DRR) and enhance community resilience, demonstrating how leveraging the collective knowledge of affected populations can lead to sustainable and impactful solutions.

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