Mobility Tracking

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iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Jun 10 2024
Jun 16 2024
Activity
  • Registration
  • Mobility Tracking
  • Event Tracking

Between 10 and 16 June 2024, a total of 3,013 new arrivals were recorded at locations in Adamawa, Borno, and Yobe states. The new arrivals were recorded at locations in Askira/Uba, Bama, Gwoza, Kaga, Mafa, and Ngala Local Government Areas (LGAs) of the most conflict-affected Borno State, in Demsa, Fufore, Girei, Gombi, Hong, Lamurde, Madagali, Maiha, Mayo Belwa, Michika, Mubi South, Numan, Song, Yola North and Yola South LGAs of Adamawa State and in Bade, Damaturu, Geidam, Potiskum, Tarmua and Yunusari LGAs of Yobe State.


ETT assessments identified the following movement triggers: fear of attack (1,176 individuals or 39%), military operations (576 individuals or 19%), poor living conditions (507 individuals or 17%), improved security (390 individuals or 13%), family re-unification (194 individuals or 6%) and seasonal farming (170 individuals or 6%).

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DTM Yemen, iomyemendtm@iom.int
Location
Yemen
Activity
  • Mobility Tracking
  • Event Tracking
Period Covered
Jun 16 2024 -
Jun 22 2024

From 1 January to 22 June 2024, IOM Yemen DTM tracked 1,564 households (HH) (9,384 Individuals) who experienced displacement at least once.

Between 16 and 22 June 2024, IOM Yemen DTM tracked 7 households (42 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

  • Ma’rib (7 HHs) – Marib City (4 HHs), Marib (3 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Dhamar.

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

  • Al Hodeidah (2 HHs) – At Tuhayta (1 HHs), Ad Durayhimi (1 HHs) districts.
  • Dhamar (2 HHs) – Otmah (2 HHs) district.
  • Ta’iz (1 HH) – Al Qahirah (1 HHs) district.
Population Groups

IDPs

Returnee (Previously Internally Displaced)

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Type of Survey or Assessment

Household

Key Informant

Keywords

Mobility

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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Contact
DTM Yemen, iomyemendtm@iom.int
Language
English
Location
Yemen
Period Covered
Jun 16 2024
Jun 22 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 22 June 2024, IOM Yemen DTM tracked 1,564 households (HH) (9,384 Individuals) who experienced displacement at least once.

Between 16 and 22 June 2024, IOM Yemen DTM tracked 7 households (42 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

  • Ma’rib (7 HHs) – Marib City (4 HHs), Marib (3 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Dhamar.

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

  • Al Hodeidah (2 HHs) – At Tuhayta (1 HHs), Ad Durayhimi (1 HHs) districts.
  • Dhamar (2 HHs) – Otmah (2 HHs) district.
  • Ta’iz (1 HH) – Al Qahirah (1 HHs) district.
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DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
May 01 2024
May 31 2024
Activity
  • Survey
  • Mobility Tracking
  • Event Tracking

Conflicts between farmers and herders in North-East Nigeria and other Sahel regions are driven by a combination of environmental and demographic factors, including desertification, climate change impacts, and low rainfall which reduces the availability of suitable land for farming and transhumance activities. Rapid population growth further exacerbates these issues by increasing the demand for food, shelter, and security for both humans and livestock. This heightened competition for scarce natural resources often leads to incidents like farming on cattle routes, crop destruction, farm damage, and water pollution, which often escalate into violent confrontations between farming and herding communities.
The Transhumance Tracking Tool (TTT), a component of IOM's Displacement Tracking Matrix (DTM with the support of community key informants) operationalized the Early Warning System in nine selected Local Government Areas (LGAs) in Adamawa and Taraba states. This system collects alerts related to farmer-herder conflicts.Of the 212 alerts recorded in May, 180 alerts (85%) were event-related, while 32 (15%) were related to movements. In Demsa, Lamurde, Girei, Shelleng, and Numan LGAs in Adamawa state, all instances of alerts were event-related. In Mayo-Belwa LGA, 92 per cent were event-related and 8 per cent were movement-related. Also, Guyuk LGA reported 17 per cent event-related alerts and 83 per cent movement-related. In Taraba state, Zing and Lau LGAs reported 83 per cent and 55 per cent event-related alerts, and 17 per cent and 45 per cent movement-related alerts, respectively. Disaggregated ward-level data indicates that Zing ward in Zing LGA in Taraba state and Kodompti ward in Numan LGA of Adamawa state reported the highest percentage of events, 8 and 7 per cent of the total alerts respectively.

Public Dataset

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DTM Yemen, iomyemendtm@iom.int
Location
Yemen
Activity
  • Mobility Tracking
  • Event Tracking
Period Covered
Jun 09 2024 -
Jun 15 2024

From 1 January to 15 June 2024, IOM Yemen DTM tracked 1,557 households (HH) (9,342 Individuals) who experienced displacement at least once.

Between 9 and 15 June 2024, IOM Yemen DTM tracked 15 households (90 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

  • Ma’rib (15 HHs) – Ma’rib (10 HHs), Ma’rib City (4 HHs), Harib (1 HH) districts. Most displacements in the governorate originated from Al Hodeidah and Hajjah.

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

  • Al Hodeidah (10 HHs) – Hays (3 HHs), Az Zaydiah (2 HHs), Al Mansuriyah (1 HH) districts.
  • Hajjah (2 HHs) – Aflah Ash Sham (1 HH), Harad (1 HH) districts.
  • Sana’a (1 HH) – Arhab (1 HH) district.
Population Groups

IDPs

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Type of Survey or Assessment

Household

Key Informant

Keywords

Mobility

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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Contact
DTM Yemen, iomyemendtm@iom.int
Language
English
Location
Yemen
Period Covered
Jun 09 2024
Jun 15 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 15 June 2024, IOM Yemen DTM tracked 1,557 households (HH) (9,342 Individuals) who experienced displacement at least once.

Between 9 and 15 June 2024, IOM Yemen DTM tracked 15 households (90 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

  • Ma’rib (15 HHs) – Ma’rib (10 HHs), Ma’rib City (4 HHs), Harib (1 HH) districts. Most displacements in the governorate originated from Al Hodeidah and Hajjah.

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

  • Al Hodeidah (10 HHs) – Hays (3 HHs), Az Zaydiah (2 HHs), Al Mansuriyah (1 HH) districts.
  • Hajjah (2 HHs) – Aflah Ash Sham (1 HH), Harad (1 HH) districts.
  • Sana’a (1 HH) – Arhab (1 HH) district.

IOM identified 12 additional households displaced in the previous reporting period, which covered 02 - 08 June 2024, in the governorates of Al Hodeidah (6 HHs), Ma’rib (4 HHs), Ta’iz (2 HHs). These figures have been added to the cumulative displacement total recorded since the beginning of the year.

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dtmlebanon@iom.int
Location
Lebanon
Activity
  • Mobility Tracking
  • Baseline Assessment
Period Covered
Oct 10 2023 -
Jun 11 2024

Since October 8 there has been an increase in cross-border incidents between Israel and Lebanon, resulting in the displacement of people both within the South and elsewhere within the country. Since October 10, the Displacement Tracking Matrix (DTM) has been conducting the daily monitoring of population movements. The objective of the exercise is to inform preparedness and response planning.

Population Groups

IDPs

Returnee (Previously Internally Displaced)

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Household

Individual

Type of Survey or Assessment

Key Informant

Keywords

Mobility

Geographical Scope Full Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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Contact
RO Dakar, RODakar-DataResearch@iom.int
Language
English
Location
Period Covered
Jan 01 2024
Mar 31 2024
Activity
  • Mobility Tracking

The GRANIT was conceived in 2021 in Dakar at the initiative of OCHA, IOM and REACH with the support of the Regional Sectoral Groups, UN agencies and NGOs. GRANIT seeks to create a forum of technical experts and information managers to pave the way for a regional, holistic and cross-sectoral analytical approach to inform the crisis preparedness and response phases. The aim of the monitoring tool is to track developments in the context in the target countries, using a multi-hazard approach. To this end, 15 indicators have been selected by the regional group of experts in emergency preparedness and response and GRANIT members. This report presents the evolution of the situation in Benin, Côte d'Ivoire, Ghana and Togo, as of 31 March 2024. 

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Contact
iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Jun 03 2024
Jun 09 2024
Activity
  • Registration
  • Rapid Emergency Registration
  • Mobility Tracking

Between 3 June and 9 June 2024, a total of 1,593 new arrivals were recorded at locations in Adamawa and Borno states. The new arrivals were recorded at locations in Askira/Uba, Bama, Gubio, Gwoza, Kaga, Kala Balge, Mafa, Magumeri, Monguno and Ngala Local Government Areas (LGAs) of the most conflict-affected Borno State and in Demsa, Fufore, Girei, Gombi, Guyuk, Hong, Lamurde, Madagali, Maiha, Michika, Mubi North, Mubi South, Numan, Song, Yola North and Yola South LGAs of Adamawa State.
ETT assessments identified the following movement triggers: military operations (358 individuals or 22%), poor living conditions (349 individuals or 22%), seasonal farming (318 individuals or 20%), improved security (191 individuals or 12%), family re-unification (131 individuals or 8%), fear of attack (119 individuals or 8%), access to humanitarian support (67 individuals or 4%) and attack (60 individuals or 4%).

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DTM Chad, dtmtchad@iom.int
Language
English
Location
Chad
Period Covered
Jun 18 2024
Jun 18 2024
Activity
  • Mobility Tracking
  • Event Tracking

Over 780,000 people have crossed into Chad since the onset of the crisis in Sudan. IOM estimates that 201,379 among them are Chadian returnees and expects this number to rise to 240,000 through to December 2024. This is due to ongoing conflict and food insecurity in Darfur, owing to the current suspension of the humanitarian corridor between Chad and Darfur.

Returnees are Chadian nationals who were living in Sudan and have been displaced back to their home country where they lack the resources to rebuild their lives. Returnees are living either in displacement sites or within host communities. They are in urgent need of food, water, sanitation and hygiene shelter, household items, health, and protection. IOM is the lead agency for the returnee response, in close coordination with the Government of Chad, local authorities, UN agencies, and local and international NGOs.