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Countries
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Data and Analysis
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Special Focus
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Crisis Responses
Event Tracking
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
May 01 2024
May 31 2024
Activity
- Mobility Tracking
- Event Tracking
This report presents data from the early warning tool for the month of May 2024 in Katsina State. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGA) based team leads were used for data collection.
In May 2024, the TTT early warning tool captured 95 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts recorded events (93%) and movements (7%) were recorded during the period. The event alerts were spread across 83 per cent of the wards in the four operational LGAs. Batsari, Dan Alhaji Yangayya and Dan Musa A wards in Batsari and Dan Musa LGAs, shared the highest number of recorded event alerts.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Apr 01 2024
Apr 30 2024
Activity
- Mobility Tracking
- Event Tracking
This report presents results from the early warning tool for the month of April 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGAs) - based team leads, were employed for data collection.
In April 2024, the TTT early warning tool captured 58 alerts in Faskari and Kaita LGAs of Katsina State, Kachia and Kaura LGAs of Kaduna State. The triangulated alerts included events (21%) and sudden movements (79%) during the period. Bondog Ward located in Kaura LGA and Gidan Tagwai Ward located in Kachia LGA shared the highest number of recorded event alerts in these locations.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Apr 01 2024
Apr 30 2024
Activity
- Mobility Tracking
- Event Tracking
This report presents data from the early warning tool for the month of April 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area-based team leads were used for data collection.
In April 2024, the TTT Early Warning tool captured 29 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts included events (97%) and movements (3%) were recorded during the period. The event alerts spread across 83 per cent of the wards in the four operational LGAs. Batsari , Gurbi and Mazanya wards in Jibia and Batsari LGAs, shared the highest number of recorded event alerts.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Mar 01 2024
Mar 31 2024
Activity
- Mobility Tracking
- Event Tracking
This report presents results from the early warning tool for the month of March 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area (LGAs) - based team leads, were employed for data collection.
In March 2024, the TTT early warning tool captured 112 alerts in Faskari and Kaita LGAs of Katsina State, Kachia and Kaura LGAs of Kaduna State. The triangulated alerts included events (42%) and sudden movements (58%) during the period. Bondog ward located in Kaura LGA and Gidan Tagwai ward located in Kachia LGA shared the highest number of recorded event alerts in these locations.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Mar 01 2024
Mar 31 2024
Activity
- Mobility Tracking
- Event Tracking
This report presents data from the early warning tool for the month of March 2024. A network of key informants selected from members of the Community Response Networks (CRNs) and Local Government Area-based team leads were used for data collection.
In March 2024, the TTT Early Warning tool captured 91 alerts in Batsari, Dan Musa, Jibia and Kanakara LGAs of Katsina State. The triangulated alerts included events (8%) and massive/sudden movements (92%) were recorded during the period. The event alerts spread across 74 per cent of the wards in the four operational LGAs. Batsari, Rumah and Dan Alhaji Yangaiya wards in Kankara and Batsari LGAs, shared the highest number of recorded event alerts.
Contact
DTM Support — iomdrcdtm@iom.int
Language
French
Location
Democratic Republic of the Congo
Period Covered
Jul 10 2024
Jul 15 2024
Activity
- Mobility Tracking
- Event Tracking
L’évaluation rapide de l’OIM (Emergency Event Tracking, EET) est un outil mis en place dans le but de collecter des informations sur les mouvements importants et soudains des populations. Ces informations sont collectées à la suite de visites terrain et/ou d’entretiens téléphoniques avec les informateurs clés des sites de déplacement ou des communautés d’accueil. Les informations sont ensuite recueillies dans les outils ERM. Ce rapport synthétique présente les résultats des évaluations réalisées du 10 – 15 juillet 2024 à travers des évaluations menées sur terrain avec les informateurs clé.
Entre le 20 et le 23 juin 2024, les affrontements entre les groupes armés CODECO et ZAIRE ont été signalés dans les villages de Bianda, Gangala, Dubele (du groupement de Mabilinde dans la chefferie de Banyali Kilo). 13 juillet 2024, une nouvelle attaque menée par le groupe armé CODECO a eu lieu dans les villages de Sokomange, Kpangba et Barriere dans l’aire de santé de Plito (du groupement Tchibi-Tchibi, dans la chefferie de Banyali Kilo, dans le territoire de Djugu).
Ces attaques ont provoqué un mouvement significatif de la population de ces villages ainsi que des villages voisins (Yalala et Camp Mine). La majorité des familles ont trouvé refuge à Mungwalu Centre dans la zone de santé de Mungwalu (de la chefferie de Banyali Kilo dans le territoire de Djugu). D’autres personnes déplacées sont parties à Dala dans la zone de santé de Bambu (du groupement de Londroma, dans la chefferie de Mambisa). Certaines personnes sont parties vers le centre de Iga-Barrière dans la zone de santé de Nizi) ou ont choisi de rejoindre leurs membres de familles dans la ville de Bunia.
Contact
DTM Support — iomdrcdtm@iom.int
Language
French
Location
Democratic Republic of the Congo
Period Covered
Jul 08 2024
Jul 15 2024
Activity
- Mobility Tracking
- Event Tracking
L’évaluation rapide de l’OIM (Emergency Event Tracking, EET) est un outil mis en place dans le but de collecter des informations sur les mouvements importants et soudains des populations. Ces informations sont collectées à la suite de visites terrain et/ou d’entretiens téléphoniques avec les informateurs clés des sites de déplacement ou des communautés d’accueil. Les informations sont ensuite recueillies dans les outils ERM. Ce rapport synthétique présente les résultats des évaluations réalisées du 8 – 15 juillet 2024 à travers des évaluations menées sur terrain avec les informateurs clé.
Le territoire de Djugu fait face à une crise humanitaire aggravée par divers conflits armés. En date du 30 juin 2024 des éléments du groupe armé CODECO ont attaqués les forces armées congolaises (FARDC) dans les villages de Lysey. 2 juillet 2024, les FARDC a fait une incursion dans le centre de Kilo-Etat dans la zone de santé de Kilo (du groupement Agonema dans la chefferie de Banyali Kilo).
Ce conflit récurrent a été accompagné par plusieurs blessés et a déplacé la plupart de la population locale vers les villages de Mulenda (du groupement Agonema) et de Bunzenzele (du groupement Bunzenzele dans le territoire de Djugu), et la ville de Bunia. La situation de Mulenda se caractérise par une détérioration d’accès à tous les moyens de subsistances tant pour la population déplacée que pour la communauté hôte.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Jun 01 2024
Jun 30 2024
Activity
- Mobility Tracking
- Event Tracking
In June, 259 alerts were recorded. Of these, 198 alerts (76%) were event-related, while 61 alerts (24%) were related to movements. In Adamawa state, all alerts in Demsa, Girei, Lamurde, Numan, and Shelleng LGAs were event-related. In Mayo-Belwa LGA, 92% were event-related and 8% were movement-related. Guyuk LGA reported 3% event-related alerts and 97% movement-related. In Taraba state, Lau and Zing LGAs reported 48% and 52% event-related alerts, and 70% and 30% movement-related alerts, respectively. Disaggregated ward-level data indicates that Bodeno ward in Guyuk LGA and Kodomti ward in Numan LGA of Adamawa state reported the highest percentage of events of 10 and 7 per cent of the total alerts respectively. Followed by Zing and Monkin wards in Zing LGA, each at 5 per cent.
The alerts reported across all LGAs suggested a population displacement rate of 1 per cent, with 16 per cent of the event alerts resulting in casualties or injuries.
Contact
DTM Yemen, iomyemendtm@iom.int
Location
Yemen
Activity
- Mobility Tracking
- Event Tracking
Period Covered
Jul 21 2024 -Jul 27 2024
From 1 January to 27 July 2024, IOM Yemen DTM tracked 1,881 households (HH) (11,286 Individuals) who experienced displacement at least once.
Between 21 and 27 July 2024, IOM Yemen DTM tracked 28 households (168 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:
- Ma’rib (17 HHs) – Ma’rib City (14 HHs), Ma’rib (3 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Ma’rib.
- Ta’iz (5 HHs) – Jabal Habashi (4 HHs), Al Qahirah (1 HH) districts. Most displacements in the governorate were internal.
- Al Hodeidah (4 HHs) – Al Khukhah (4 HHs) district. All displacements in the governorate were internal.
The majority of people moved from the following governorates and districts:
- Al Hodeidah (11 HHs) – Al Mina (9 HHs), Ad Dohi (1 HH), Al Hali (1 HH) districts.
- Ta’iz (8 HHs) – Al Maafer (4 HHs), Mawiyah (2 HHs), Sami (1 HH) districts.
- Ma’rib (2 HH) – Majzar (1 HH), Al Jubah (1 HH) districts.
Population Groups
IDPs
Returnee (Previously Displaced Abroad)
Survey Methodology
Unit of Analysis Or Observation
Admin Area 2
Household
Type of Survey or Assessment
Household
Key Informant
Keywords
Geographical Scope Partial Coverage
Administrative boundaries with available data
The current dataset covers the following administrative boundaries
Contact
DTM Yemen, iomyemendtm@iom.int
Language
English
Location
Yemen
Period Covered
Jul 21 2024
Jul 27 2024
Activity
- Mobility Tracking
- 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 27 July 2024, IOM Yemen DTM tracked 1,881 households (HH) (11,286 Individuals) who experienced displacement at least once.
Between 21 and 27 July 2024, IOM Yemen DTM tracked 28 households (168 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:
- Ma’rib (17 HHs) – Ma’rib City (14 HHs), Ma’rib (3 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Ma’rib.
- Ta’iz (5 HHs) – Jabal Habashi (4 HHs), Al Qahirah (1 HH) districts. Most displacements in the governorate were internal.
- Al Hodeidah (4 HHs) – Al Khukhah (4 HHs) district. All displacements in the governorate were internal.
The majority of people moved from the following governorates and districts:
- Al Hodeidah (11 HHs) – Al Mina (9 HHs), Ad Dohi (1 HH), Al Hali (1 HH) districts.
- Ta’iz (8 HHs) – Al Maafer (4 HHs), Mawiyah (2 HHs), Sami (1 HH) districts.
- Ma’rib (2 HH) – Majzar (1 HH), Al Jubah (1 HH) districts.
IOM identified 32 additional households displaced in the previous reporting period, which covered 14 - 20 July 2024, in the governorates of Ta’iz (12 HHs), Al Hodeidah (10 HHs), Ma’rib (7 HHs), and Lahj (3 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.
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