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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.

If you’ve had the chance to read or use this case study, please fill out a short survey in English (link here) or French (link here). We greatly appreciate your feedback. 

DTM Flow Monitoring, conducted by IOM Afghanistan, is designed to provide insights into the mobility patterns at Afghanistan’s border points with the Islamic Republic of Iran and Pakistan. This activity involves two interlinked exercises: Flow Monitoring Counting (FMC), which monitors the number of movements across the border, and Flow Monitoring Surveys (FMS), which collect data on the profiles of randomly selected Afghan nationals crossing the border including documentation held, reasons for travel, and the intended period of stay/ travel. It is important to note that DTM collects information on total movements at a given border point, not the number of unique individuals entering or leaving the country. As a result, if one individual both left and re-entered Afghanistan during the reporting period, this would count as one outflow movement and one inflow movement. Movements can be attributed to a wide variety of reasons, including returnees coming back to Afghanistan after living abroad, people visiting family, deportees, those travelling for economic reasons, medical patients, students, or Afghans moving abroad for different reasons. Circular movements, which include those who frequently and regularly travel back and forth across the border for trade and other reasons, are also common. This monitoring offers a clear picture of population movements in and out of the country. 

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.
 

This summary presents findings of Mobility Tracking Assessments round 21 (previously known as Baseline Assessments) conducted across Central and Southern Mozambique through key-informant and group interviews at location level between May and June 2024. Mobility Tracking assessments provides a geographical overview of demographic and mobility profiles of internally displaced persons (IDPs) and returnees across Mozambique. During this round, IOM DTM mapped a total of 28,116 households hosting 139,333 IDPs in 107 locations. Ninety eight per cent of the IDPs were identified in 93 displacement sites whilst two per cent are living in host communities. The period of displacement being considered spans from 2017 to 2024 and 99 per cent of the displacements were due to climatic conditions. Sofala hosts 64 per cent of the overall IDP figure followed by Manica (20%). Comparing to the previous round, there is a 10 per cent increase in the number of IDPs in Central attributable to widened coverage and recent drought related displacements in Manica province.

This summary presents findings of Mobility Tracking Assessments round 21 (previously known as Baseline Assessments) conducted across Central and Southern Mozambique through key-informant and group interviews at location level between May and June 2024. Mobility Tracking assessments provides a geographical overview of demographic and mobility profiles of internally displaced persons (IDPs) and returnees across Mozambique. During this round, IOM DTM mapped a total of 28,116 households hosting 139,333 IDPs in 107 locations. Ninety eight per cent of the IDPs were identified in 93 displacement sites whilst two per cent are living in host communities. The period of displacement being considered spans from 2017 to 2024 and 99 per cent of the displacements were due to climatic conditions. Sofala hosts 64 per cent of the overall IDP figure followed by Manica (20%). Comparing to the previous round, there is a 10 per cent increase in the number of IDPs in Central attributable to widened coverage and recent drought related displacements in Manica province.

In July 2024, a total of 42,688 movements were observed across the six flow monitoring points (FMPs) in Ethiopia. This represents a 30.1% increase in daily average movements in comparison with June 2024 when an average of 1,058 movements per day were observed.

The ratio between outgoing movements (58.9% or 25,123 individuals) during July and incoming movements (41.1% or 17,565 individuals) shows a higher share of outgoing movements compared to the month of June. Historically, recorded outflows have been higher than inflows.

The Flood Displacement Summary summarizes DTM updates on incidents of flood-induced displacement across Sudan. 

Between 01 June and 13 September 2024, DTM Sudan reported 119 incidents of heavy rain and floods that triggered sudden displacement in Sudan. Rain and floods displaced an estimated 178,460 individuals (35,692 households) from locations across 15 different states in Sudan. 

This report outlines incidents of flood-induced displacement between 05 September and 13 September 2024. Further information on earlier reported incidents is available on the DTM-IOM Sudan website. 

Highlights  

• DTM observed eight incidents of flood-induced displacement between 05 September and 13 September 2024.  
• These reported incidents triggered the displacement of an estimated 5,940 individuals (1,188 households).  
• Approximately 1,349 structures were either destroyed or partially damaged due to rain or floods. 
• An estimated 44 per cent of individuals displaced due to floods were already displaced due to conflict prior to the onset of floods.