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DTM Chad, dtmtchad@iom.int
Language
English
Location
Chad
Period Covered
Oct 26 2024
Nov 08 2024
Activity
  • Mobility Tracking
  • Baseline Assessment
  • Site Assessment

An estimated 910,000 people have crossed into Chad since the onset of the crisis in Sudan, of which 209,153 are Chadian returnees as of beginning of November 2024. IOM expects this number to rise to 240,000 through to December 2024 due to ongoing conflict and food insecurity in Darfur.

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dtmlebanon@iom.int
Location
Lebanon
Activity
  • Flow Monitoring
  • Mobility Tracking
  • Baseline Assessment
  • Migrants presence
Period Covered
Oct 10 2023 -
Dec 18 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.

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Population Groups

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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DTMUkraine@iom.int
Language
English
Location
Ukraine
Period Covered
Oct 01 2024
Nov 30 2024
Activity
  • Return Intention
  • Mobility Tracking

The Conditions of Return Assessment (CoRA) provides granular and actionable data on the conditions of returns in Ukraine, using a multisectoral location-level assessment (MSLA) methodology conducted with local authority key informants in areas of return across Ukraine. CoRA presents an analysis of the situation and needs of returnees in Ukraine, exploring the circumstances under which returns are taking place, and settlement-level conditions for all population groups, aiming to support evidence-based interventions that address the specific needs of returnees. Data collection for Round 9 took place between 1 October and 30 November 2024 across 1,238 locations in 356 hromadas in 23 oblasts in Ukraine.  

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DTMAfghanistan@iom.int
Language
English
Location
Afghanistan
Period Covered
Dec 15 2024
Dec 21 2024
Activity
  • Survey
  • Flow Monitoring Survey
  • Flow Monitoring

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.

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dtmlebanon@iom.int
Language
English
Location
Lebanon
Period Covered
Oct 10 2023
Dec 25 2024
Activity
  • Mobility Tracking
  • Baseline Assessment

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.

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DTM Sudan; dtmsudan@iom.int
Language
English
Location
Sudan
Period Covered
Dec 03 2024
Dec 17 2024
Activity
  • Mobility Tracking
  • Baseline Assessment

Overview:  
This report provides an overview of the total population of internally displaced persons (IDPs) in Sudan, including those displaced both before and after the onset of the conflict on 15 April 2023.    
 
Key Findings:  

  • An estimated total of 11,532,774 IDPs were displaced to 10,043 locations, in 184 localities, across all 18 states in Sudan.  
  • An estimated 8,795,874 individuals were displaced internally within Sudan since 15 April 2023. 
  • An estimated 28 per cent of IDPs who were initially displaced prior to the onset of the current conflict experienced secondary displacement since 15 April 2023.   
  • Approximately 3,352,418 individuals crossed borders into neighbouring countries since 15 April 2023.   
  • The top states of origin were Khartoum (32%), South Darfur (18%), and North Darfur (14%).   
  • The highest proportion of IDPs were hosted in South Darfur (16%), North Darfur (14%), and Gedaref (10%) states. 
  • Over half (52%) of IDPs were reportedly children under the age of 18-years-old.   

Annex 1 includes an operational matrix with a table of estimated IDPs per state, disaggregated by displacement before versus after 15 April 2023.   

Note: The number of IDPs displaced post 15 April 2023 (8,795,874 IDPs) includes the estimated 1,083,872 IDPs who were initially displaced prior to 15 April 2023 and experienced secondary displacement since 15 April 2023. DTM Sudan defines an internally displaced person as any person who has been forced or obliged to flee from their habitual residence due to an event dating from 2003 onwards.

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DTMMozambique@iom.int
Language
English
Location
Mozambique
Period Covered
Dec 16 2024
Dec 22 2024
Activity
  • Mobility Tracking
  • Event Tracking

Between 13 and 14 December 2024, escalating attacks and heightened fear of violence by Non-State Armed Groups (NSAGs) in Miengueleua, Muidumbe district, led to the displacement of approximately 4,254 individuals (1,096 households) as of 22 December 2024. Many displaced individuals have sought safety within other postos in Muidumbe, while others have moved to Macomia and Mocimboa da Praia districts. Displaced populations are sheltering in resettlement sites, temporary centers, and host communities across these areas.

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DTM Mozambique, DTMMozambique@iom.int
Location
Mozambique
Activity
  • Mobility Tracking
  • Event Tracking
Period Covered
Dec 17 2024 -
Dec 17 2024

Tropical Cyclone Chido made landfall in Mozambique on 15 December 2024, bringing intense winds and heavy rainfall that caused widespread destruction of housing, livelihoods, and critical infrastructure across Cabo Delgado, Nampula, and Niassa provinces. This report presents preliminary findings from six affected districts (Erati, Memba, Mecuburi, Mongicual, Nacala Porto, Lalaua) in Nampula province and seven of the affected districts in Niassa province (Nipepe, Lago, Metarica, Maua, Cuamba, Majune and Mandimba).

According to the National Institute for Disaster Management (INGD) of Mozambique, 20,178 households, comprising 104,220 individuals, have been affected. As of 17 December 2024, INGD data indicates that 18,854 houses have been partially damaged, while 2,259 houses have been completely destroyed, totaling 21,113 damaged shelters in Nampula and Niassa provinces. Shelter, food and non-food items (NFIs) remain the most critical needs for the affected population accross Nampula and Niassa provinces. Prioritised NFI needs include Hygiene kits, Dinginity kits soap and mosquito nets. Joint multi-sectoral needs assessments, led by INGD and humanitarian partners, are ongoing to evaluate the evolving needs and living conditions of affected populations. 

Population Groups

IDPs

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Household

Individual

Type of Survey or Assessment

Key Informant

Keywords

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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iomkenyadru@iom.int
Language
English
Location
Kenya
Period Covered
Aug 16 2024
Sep 16 2024
Activity
  • Flow Monitoring Survey
  • Flow Monitoring

Between 16 August and 16 September 2024, 354 migratory movements were tracked through IOM’s Displacement Tracking Matrix (DTM) Flow Monitoring Registry (FMR) at four flow monitoring points in and around Nairobi: Eastleigh, Kangemi, the Roysombu-Thika road and Athi River. Around two thirds (67%) of migrants were male, and over half of them (53%) were in the 18 to 29 age group (Figure 2.2). There were a variety of migrants from 11 different nationalities (Figure 2), with Burundians (32%), Ethiopians (26%) and Somalis (13%) being the most represented nationalities. Most of the migrants interviewed departed from Burundi (41%), followed by Ethiopia (25%) and the Democratic Republic of the Congo (12%). More than two thirds of respondents reported (69%) Kenya as their final destination.

From the 354 migrants tracked through FMR, a non-statistically representative sample of 175 migrants (58% males and 42% females; Figure 2) responded to further questions to the Flow Monitoring Survey (FMS). Although most migrants were either married (45%) or single (43%), the data collected illustrated (Figure 14) that males were more likely to be married (49%) or single (45%) than females (38% and 40% respectively). However, females were more likely to report being separated (12%) or widowed (7%) than males (2% for each of the marital status). The findings on marital status may indicate that women who are single or unmarried may be in more precarious financial circumstances and therefore be more willing to risk travel in pursuit of opportunities. Or it may indicate that the same group of women have more autonomy to pursue alternative opportunities.

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Contact
DTM Mozambique, DTMMozambique@iom.int
Location
Mozambique
Activity
  • Mobility Tracking
  • Event Tracking
Period Covered
Dec 16 2024 -
Dec 16 2024

This dataset provides preliminary findings from six affected districts (Mongicual, Erati, Lalaua, Mecuburi, Nacala Porto, Memba) in Nampula and four affected districts (Majuni, Metarica, Nipepe, Maua) in Niassa provinces. Data collection is still ongoing in several districts, including those in Cabo Delgado. According to the National Institute for Disaster Management (INGD) of Mozambique, 8,624 households, comprising 46,631 individuals, have been impacted by the landfall of Tropical Cyclone Chido in these provinces.

As of 16 December 2024, INGD data indicates that 7,458 houses have been partially damaged, while 2,073 houses have been completely destroyed, totaling 9,531 damaged shelters in Nampula and Niassa provinces. Shelter and non-food items (NFIs) remain the most critical needs for the affected population across these provinces, where significant shelter destruction has occurred. Additional priority needs include agriculture and food security, water, sanitation, and hygiene (WASH), and health services. With continued rainfall and the risk of flooding, joint needs assessments, led by INGD and humanitarian partners, are ongoing to evaluate the evolving needs and living conditions of affected populations.

Population Groups

IDPs

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Household

Individual

Type of Survey or Assessment

Key Informant

Keywords

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries