Internal displacement

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displacement.iom.int
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DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Apr 01 2024
Apr 30 2024
Activity
  • Other

Conflicts between farmers and herders in North-East Nigeria and other Sahel regions are rooted in many factors such as desertification, climate change impacts, low rainfall, and competition over suitable land for farming and transhumance activities. These issues are exacerbated by rapid population growth, which drives demand for food, shelter, and security for both humans and livestock. Consequently, competition for scarce natural resources intensifies, leading to incidents like farming on cattle routes, crop destruction, farm damage, and water pollution among others, which often escalate into violent confrontations between the farmer and herder communities.

The Transhumance Tracking Tool (TTT) as a component of the IOM's Displacement Tracking Matrix (DTM), with the support of community key informants, operationalized the Early Warning System in the selected 9 Local Government Area (LGA) in the adjoining states of Adamawa and Taraba to collect alerts that are related to farmer-herder conflicts.

Of the 288 alerts recorded in April, 260 (90%) are event-related while 28 (10%) are related to movements. Specifically, Demsa, Girei, Lamurde, Numan and Shelleng LGAs in Adamawa state reported solely event-related alerts, while in Guyuk LGA, 89 per cent were event-related and 11 per cent were movement-related. Similarly, Mayo-belwa LGA reported 73 per cent event-related alerts and 27 per cent movement-related. Also in Taraba state, Lau LGA reported 74 per cent of event-related alerts and 26 per cent are movement-related alerts while Zing LGA reported 72 per cent of movement-related alerts and 28 per cent are event-related. Disaggregated ward-level data indicates that Kodompti, Talum and Demsa wards in Numan, Shelleng and Demsa LGAs of Adamawa state reported the highest percentage of events, cumulatively encompassing 20 per cent of the total alerts.

The event alerts reported across all LGAs suggested a population displacement rate of 2 per cent, with 17 per cent of instances of alerts resulting in casualties or injuries.

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DTM Ukraine, dtmukraine@iom.int
Language
English
Location
Ukraine
Snapshot Date
Apr 30 2024
Activity
  • Other

Після повномасштабного вторгнення в Україну в лютому 2022 року країна зіткнулася з глибокими економічними потрясіннями та масовим переміщенням населення. Мільйони людей прагнуть безпеки та стабільності, тому проблеми збереження засобів до існування, забезпечення зайнятості та доступу до соціального захисту є першочерговими, що вимагає цілеспрямованих заходів для пом'якшення економічних труднощів.

У цьому звіті розглядаються економічні наслідки війни в Україні, зокрема зміни в рівнях доходів, тенденції зайнятості та заходи соціальної допомоги. Спираючись на дані Опитування загального населення МОМ, цей звіт має на меті сприяти розробці програм на основі фактичних даних, формуванню політики, адвокації та подальшим дослідженням на цю тему.

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DTM Mozambique, DTMMozambique@iom.int
Language
English
Location
Mozambique
Period Covered
Apr 22 2024
Apr 24 2024
Activity
  • Other
  • Mobility Tracking
  • Site Assessment
  • Event Tracking

The Displacement Tracking Matrix (DTM), in collaboration with Mozambique’s National Institute for Disaster Management (INGD), conducted assessments in Maringue, Chemba, and Barue to record displacements caused by severe El Niño induced drought conditions. Mozambique's National Meteorological Institute (INAM) project decreased precipitation levels and drought conditions across districts in Central and Southern Mozambique - potentially impacting over 20 million people. El- Niño induced drought, land degradation and increased salinity in important water sources continue to place a strain on the agriculture, livestock herding and fishing industries, with many families unable to guarantee sufficient and sustainable livelihoods in rural areas.

DTM’s tracking of climate-induced displacement aims to provide data on the number and location of vulnerable families forced into displacement due to climatic and environmental factors. Joint assessments conducted between 22-24 April estimate 342 individuals (58 families) displaced from Northern Sofala and Tete districts to host communities of Manica (Barue district). Priority needs identified by IDPs include food security, access to clean water, adequate shelter, and agricultural inputs. Additionally, there is a pressing demand for non-food items such as hygiene kits, blankets, mosquito nets, and kitchen sets.

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DTMMozambique@iom.int
Language
English
Location
Mozambique
Period Covered
May 10 2024
May 17 2024
Activity
  • Mobility Tracking
  • Event Tracking

Between 10 to 17 May 2024, attacks, and fear of attacks by Non-state Armed Groups in Macomia triggered the cumulative displacement of 3,106 individuals/ 1,021 families. The current Movement Alert #113 reports on most recent attacks in Northen Cabo Delgado. For more information on displacements between January and April, please see {Emergency Tracking Online Dashboard}.

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DTM Uganda, dtmuganda@iom.int
Language
English
Location
Uganda
Period Covered
Apr 01 2024
Apr 30 2024
Activity
  • Mobility Tracking
  • April marked the mid of the first rainy season in Uganda and this triggered natural hazards like landslides/Mudslides in the Elgon and Rwenzori mountain ranges, floods, heavy storms and lightning. Other reported hazards include Human epidemics and disease outbreaks, famine/food insecurity and transport related accidents.
  • The hazards affected 37,866 individuals (11,015 households), with 12,731 people from 3,717 households internally displaced due to the adverse weather conditions.
  • Adults between 18 and 64 years were the most affected age group (56%), followed by children below the age of 18 (31%) and elderly above 64 (13%). Notably, more than half of affected people were female (54%).
  • Urgent needs have emerged, with Shelter, NFI and food assistance as critical priorities in the aftermath of the hazards.
  • Infrastructure damage was significant, with 1,721 houses completely destroyed, 1,401 houses partially damaged, and 147
    water facilities and 16 schools affected.
Public Dataset REQUEST ACCESS

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Contact
dtmuganda@iom.int vwabwire@iom.in
Location
Uganda
Activity
  • Mobility Tracking
  • Baseline Assessment
Period Covered
Apr 01 2024 -
May 03 2024

In April 2024, the hazards affected 37,866 individuals (11,015 households), with 12,731 people from 3,717 households internally displaced due to the adverse weather conditions.

A more detailed version of this dataset, including the number of the vulnerabilities, is available. To get access, kindly click on the 'Request Access' button.
Population Groups

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Education

Food security & livelihoods

Health

Mobility

Nutrition

Protection

Shelter

SNFI

WASH

Geographical Scope Full Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Yemen, iomyemendtm@iom.int
Language
English
Location
Yemen
Period Covered
Jul 29 2023
Sep 20 2023
Activity
  • Mobility Tracking
  • Baseline Assessment

This summary presents the findings of the second round of Area Assessment (mobility Tracking) undertaken by IOM’s Displacement Tracking Matrix in its new format to establish a new baseline on the number of Internally Displaced Persons (IDPs), IDP returnees, and migrants in Yemen.
Findings are currently limited to the country’s south controlled by the internationally recognized government (IRG). Data was collected by 154 enumerators through extensive network of Key Informants (KIs) within the operational area. DTM deployed enumerators who are in regular communication with the KIs network throughout each month and work continuously to maintain and expand this network to further triangulate the displacement statistics collected. DTM field staff, along with KIs, use the Sub-Area Assessment tool to capture locations, which are matched to identified locations in the OCHA’s Common Operational Dataset (P-Codes). 
This round 4,512 KIs were interviewed to collect the data, of whom seven per cent or 295 were females and 93 per cent were male. In a total of 403 sub-districts, IOM recorded a presence of IDPs in 372 sub-districts (92%), a presence of IDP returnees in 209 sub-districts (52%) and a presence of migrants in 79 sub-districts (20%). 
In the Yemen context, the practice for field teams is to select KIs representatives of both the host and target communities while adhering to the humanitarian principles of humanity, neutrality, impartiality, and operational independence. This ensures that the selected KIs are the most relevant and appropriate individuals to ensure the successful implementation of the exercise. Among the main outputs of the sub-Area Assessment is a list of locations where IDPs, returnees, and/or migrants are present that can be used to inform more detailed assessments at the locations level, including the annual Multi-Cluster Location Assessment (MCLA). Using a standardized and structured approach to the selection of KIs is a key step to ensuring that data collected in Sub-Area Assessment is comprehensive and comparable across the different teams. The Sub-Area Assessment tool is used to verify and update the baseline information in regular intervals (round). 
IOM DTM implemented round 39 area assessment in coordination with the Ministry of Planning and International Cooperation Central (MoPIC), Statistical Organization (CSO), and Executive Unit for IDP Camps Management (ExU) in 13 governorates under the Government of Yemen. The number of migrants indicated in this report represents a snapshot in time for a transient population located in areas data collection teams could access.
 

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Contact
DTM Support — iomdrcdtm@iom.int
Language
French
Period Covered
May 04 2024
May 12 2024
Activity
  • Mobility Tracking
  • Event Tracking

Depuis le début d’avril 2024, la région des Hauts-Plateaux du territoire de Fizi, située dans la province du Sud-Kivu, est le théâtre d’un conflit persistant opposant deux factions du groupe armé Biloze Bishambuke. Les habitants des villages de cette zone, tels que Bishaka, Bishakara, Kabanja, Kitumba, Kwamashaka et Ruhemba, ont été contraints de quitter de force leurs foyers en raison de ces événements. Après avoir temporairement trouvé refuge dans le groupement de Basikalanga, ces personnes déplacées ont malheureusement dû fuir une nouvelle fois en raison de la persistance du conflit. Depuis la fin d’avril 2024, cette population déplacée se retrouve désormais dans les villages des groupements de Babungwe Sud, Basimukuma Sud, Balala Nord et Balala Sud, toujours dans le territoire de Fizi.

Le déplacement de population a touché 5 759 ménages, soit un total de 29 946 individus répartis dans quatre villages/localités d’accueil. Parmi eux, on compte 2 078 ménages déplacés, regroupant 10x806 individus à Sebele, 602 ménages avec 3 130 individus à Malinde, 2 727 ménages comprenant 14 180 individus à Katanga et enfin, 352 ménages abritant 1 830 individus à Lusenda. Ces villages sont situés dans les secteurs de Mutambala et Tanganyika, dans le territoire de Fizi, province du Sud-Kivu.

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DTM Support — iomdrcdtm@iom.int
Language
French
Period Covered
May 04 2024
May 11 2024
Activity
  • Mobility Tracking
  • Event Tracking

Depuis le début de l’année 2024, la partie côtière du territoire de Fizi a été touchée par des inondations causées par la montée des eaux du lac Tanganyika et le débordement des rivières Mutambala et Luke, entraînant le déplacement de nombreuses personnes. La situation s’est aggravée au début du mois d’avril en raison de fortes pluies, provoquant des inondations qui ont affecté plusieurs villages du groupement de Basimukinji dans le territoire de Fizi. Ces événements ont engendré d’importantes destructions matérielles, des pertes considérables et ont malheureusement entraîné des décès signalés. En conséquence, environ 4 038 ménages et 25 383 individus ont été contraints de chercher refuge dans les villages d’accueil de Baraka et Mwangaza du groupement Basimukinji, ainsi que dans ceux de Mboko et Makobola du groupement de Babungwe Nord.

La situation a provoqué d’importantes perturbations sur la Route Nationale N°5 (axe Kikongo – Makobola), entraînant une forte congestion du trafic routier. De plus, elle a eu un impact significatif sur la sécurité alimentaire des zones d’accueil, avec environ 12 pour cent des terres agricoles de la région touchées par les inondations. Les voies d’approvisionnement vers les grandes agglomérations comme Bukavu et Uvira sont de plus en plus perturbées, engendrant ainsi une pénurie alimentaire dans ces régions.

Public Dataset

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Contact
DTM Nigeria, AllUsersInDTMNigeria@iom.int
Location
Nigeria
Activity
  • Mobility Tracking
  • Site Assessment
Period Covered
Sep 13 2023 -
Oct 24 2023

Round 12 of DTM data collection in Nigeria’s north-west and north-central regions was conducted between 13 September and 24 October 2023. During the activity, DTM deployed teams of enumerators to conduct assessments in 826 wards (down from the 881 wards assessed in Round 11 of DTM assessments), located in 172 LGAs (down from 180 LGAs in Round 11). Eight states were covered: Benue, Nasarawa and Plateau (north-central) and Kaduna, Kano, Sokoto, Katsina and Zamfara (north-west).


DTM enumerators conducted assessments in 1,637 locations (a decrease of 121 locations compared to Round 11), including 1,549 (95%) locations where IDPs were residing among host communities and 88 (5%) locations categorized as camps/camp-like settings. The reason for the decrease owed to the inaccessibility of some locations caused by security. During these assessments, data was collected on population demographics, living conditions and multisectoral needs of displaced populations.

Population Groups

IDPs

Survey Methodology

Unit of Analysis Or Observation

Site

Type of Survey or Assessment

Key Informant

Keywords

Food security & livelihoods

Health

Shelter

SNFI

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries