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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
Sep 04 2024
Sep 08 2024
Activity
- Mobility Tracking
- Event Tracking
Between 4 and 8 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the National Emergency Management Agency (NEMA), the Plateau State Emergency Management Agency (SEMA) and the Nigerian Red Cross Society (NRCS), identified 8 locations in Plateau State that were impacted by floods or received internally displaced persons (IDPs) due to the flooding.
In the two local government areas (LGAs) of Plateau State that were assessed, DTM identified 5,717 individuals in 1,129 households affected by the floods. These individuals included IDPs displaced by the floods and residents impacted by the floods but remained in their communities. Twenty-nine per cent (29%) of the affected houses are habitable but need repairs, 18 per cent were partially damaged but need repairs, and 6 per cent were completely destroyed. In 88 per cent of the locations assessed, crop farming was among the primary sources of income.
Contact
DTM Chad, dtmtchad@iom.int
Language
English
Location
Chad
Period Covered
Aug 01 2024
Aug 31 2024
Activity
- Mobility Tracking
- Event Tracking
The purpose of the emergency tracking tool is to collect information on sudden and significant displacements mainly triggered by security and climatic emergencies. The information is collected through key informant interviews and direct observations.
This dashboard presents a summary of information on confirmed movements of people during the period from August 1 to 31, 2024 in the Lake province.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Sep 10 2024
Sep 15 2024
Activity
- Mobility Tracking
- Event Tracking
Between 10 and 15 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the National Emergency Management Agency (NEMA), the Kano State Emergency Management Agency (SEMA), and the Nigerian Red Cross Society (NRCS), identified 68 locations in Kano State that were impacted by floods or received internally displaced persons (IDPs) due to the flooding.
In the 20 local government areas (LGAs) of Kano State that were assessed, DTM identified 75,095 individuals in 16,422 households affected by the floods. These individuals included IDPs displaced by the floods and residents impacted by the floods but remained in their communities. The affected population included 18,643 displaced individuals.
Twenty per cent (20%) of the affected houses are habitable but need repair, 21 per cent are partially damaged but need repairs, and 29 per cent are destroyed. In 88 per cent of the locations assessed, crop/vegetable farming was among the primary sources of income.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Sep 04 2024
Sep 08 2024
Activity
- Mobility Tracking
- Event Tracking
Between 4 and 8 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the National Emergency Management Agency (NEMA), the Sokoto State Emergency Management Agency (SSEMA), and the Nigerian Red Cross Society (NRCS), identified 53 locations in Sokoto State that were impacted by floods or received internally displaced persons (IDPs) due to the flooding.
In the 10 local government areas (LGAs) of Sokoto State that were assessed, DTM identified 56,308 individuals in 10,808 households affected by the floods. These individuals included IDPs who were displaced by the floods and residents who were impacted by the floods but remained in their communities. The affected population included 14,994 displaced individuals.
Forty-three per cent (43%) of the affected houses were habitable but need repair, thirty-one per cent were partially damaged, and 26 per cent were totally destroyed. In 60 per cent (60%) of the locations assessed, crop farming was among the primary sources of income.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Sep 04 2024
Sep 09 2024
Activity
- Mobility Tracking
- Event Tracking
Between 4 and 8 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the National Emergency Management Agency (NEMA), the Zamfara State Emergency Management Agency (ZSEMA), and the Nigerian Red Cross Society (NRCS) identified 51 locations in Zamfara State that were impacted by floods or received internally displaced persons (IDPs) due to the flooding.
In the eleven (11) local government areas (LGAs) of Zamfara State that were assessed, DTM identified 70,819 individuals in 13,965 households affected by the floods. These individuals included IDPs displaced by the floods and residents impacted by the floods but remained in their communities. The affected population included 17,623 displaced individuals and 1,238 returnees. forty-nine per cent (49%) of the affected houses are habitable but need repair, twenty-eight per cent of the houses are partially damaged and sixteen per cent are completely destroyed. In 31 per cent (31%) of the locations assessed, crop farming was among the primary sources of income.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Sep 04 2024
Sep 08 2024
Activity
- Mobility Tracking
- Event Tracking
Between 4 and 9 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the Benue State Emergency Management Agency (BENSEMA), identified 22 locations in Benue State that were impacted by floods.
In the twenty-two (22) local government areas (LGAs) of Benue State that were assessed, DTM identified 7,092 individuals in 1,089 households affected by the floods. The floods displaced many residents, while some remained in their affected communities. All the affected population were residents. Twenty-three per cent (23%) of the affected houses are habitable but need repair, 13 per cent of the houses are partially damaged and two per cent of the houses are totally destroyed. In 45 per cent (45%) of the locations assessed, crop farming was among the primary sources of income.
Contact
DTM Nigeria, iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Sep 04 2024
Sep 08 2024
Activity
- Mobility Tracking
- Event Tracking
Between 4 and 8 September 2024, the Displacement Tracking Matrix (DTM), in collaboration with the National Emergency Management Agency (NEMA), the Katsina State Emergency Management Agency (SEMA), and the Nigerian Red Cross Society (NRCS), identified 234 locations in Katsina State that were impacted by floods or received internally displaced persons (IDPs) due to the flooding.
In the seventeen (17) local government areas (LGAs) of Katsina State that were assessed, DTM identified 123,377 individuals in 16,563 households affected by the floods. These individuals included IDPs displaced by the floods and residents impacted by the floods but remained in their communities. The affected population included 12,927 displaced individuals and 473 returnees.
Thirty-two per cent (32%) of the affected houses are habitable but need repair, 17 per cent are partially damaged and 10 per cent are totally destroyed. In 70 per cent (70%) of the locations assessed, crop farming was among the primary sources of income.
Contact
DTM Yemen, iomyemendtm@iom.int
Location
Yemen
Activity
- Mobility Tracking
- Event Tracking
Period Covered
Sep 08 2024 -Sep 14 2024
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.
Population Groups
IDPs
Returnee (Previously Internally Displaced)
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
Sep 08 2024
Sep 14 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 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.
Contact
DTM South Sudan, SouthSudanDTM@iom.int
Language
English
Location
South Sudan
Period Covered
Aug 16 2024
Aug 31 2024
Activity
- Mobility Tracking
- Event Tracking
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.
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