Dashboard/Fact Sheet

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DTM Pakistan, DTMPakistan@iom.int
Language
English
Location
Pakistan
Period Covered
Jun 01 2024
Jun 15 2024
Activity
  • Flow Monitoring

The International Organization for Migration (IOM) in Pakistan collects data on the outflows of Afghans at the Torkham (Khyber Pakhtunkhwa), Badini, Bahramcha and Chaman (Balochistan) border crossing points (BCPs) to better understand the movements of Afghans returning to Afghanistan.

The data presented below is harmonised with those from the United Nations High Commissioner for Refugees (UNHCR), who also cover Ghulam Khan (Khyber Pakhtunkhwa).

On 26 September 2023, the Ministry of Interior in Pakistan announced its decision to enact its “Illegal Foreigners’ Repatriation Plan (IFRP)”. Between 1 and 15 June 2024, 22,167 Afghan nationals returned to Afghanistan, including 18,367 through the Torkham BCP, 3,439 through the Chaman BCP, 361 through the Ghulam Khan BCP, while no Afghan nationals returned through the Badini and Bahramcha BCPs. In addition, border authorities deported 404 individuals due to a lack of valid documentation. Since 1 January 2024, IOM identified 141,089 returns at the four BCPs.

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DTMAfghanistan@iom.int
Language
English
Location
Afghanistan
Period Covered
Jun 16 2024
Jun 22 2024
Activity
  • Survey
  • Flow Monitoring Survey
  • Flow Monitoring

The IOM Afghanistan’s DTM Flow Monitoring activity is designed to provide insights into the mobility patterns at Afghanistan’s border points with the Islamic Republic of Iran and Pakistan. The activity involves two interlinked exercises: the Flow Monitoring Counting (FMC), a headcount of individuals crossing the border, and the Flow Monitoring Surveys (FMS), which collect data on the profiles and intentions of randomly selected Afghan nationals. DTM FM is operational at four main crossing points (connected to Afghanistan’s National Highway) as well as five 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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DTM Somalia, IOMSomaliaDTM@iom.int
Language
English
Location
Somalia
Period Covered
Jun 15 2024
Jun 19 2024
Activity
  • Mobility Tracking
  • Baseline Assessment

This latest round of Emergency Trends Tracking was initiated in April 2024 to monitor displacements movements during the Gu rainy season. Districts covered in this round include Afgooye, Afmadow, Baardheere, Baidoa, Balcad, Belet Weyne, Dayniile, Gaalkacyo, Hodan, Jamaame, Jowhar, Kahda, Kismaayo, Luuq.

ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. The objective of ETT is to help prioritize humanitarian response and to enable partners to deliver rapid assistance. Based on previous shock induced displacement patterns, the humanitarian community expects that people will continue to move toward urban areas in search of humanitarian services. Consequently, the ETT coverage focuses on the main urban centers and surrounding villages for each assessed district. The data is collected through Key Informant Interviews (KIIs) at the location level, from Sunday to Wednesday every week. It includes information on new arrivals, numbers and demographic of IDPs, reasons for displacement, intentions, humanitarian assistance and priority needs among others.

The ETT tool also adapts to regional contexts: because of the very high number of IDP sites in Khada and Daynile districts in Banadir region and in Baidoa district in Bay region, a zonal approach has been adopted for these areas. Each week, KIIs are first conducted at the zone level to indicate to the field teams which locations have received the most new arrivals and which need to be assessed. To facilitate the joint analysis of the CCCM (Camp Coordination and Camp Management) Cluster’s New Arrivals Tracker (NAT) and ETT data, the assistance and needs indicators are identical in both tools.

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iomnigeriadtm@iom.int
Language
English
Location
Nigeria
Period Covered
Jun 17 2024
Jun 23 2024
Activity
  • Mobility Tracking
  • Event Tracking

On 22 June 2024,  heavy rainfall caused damages in  Achusa, Logo, Madonna Hospital, Wadata, Wurukun, and Zone 4 communities in Ankpa, Bar, Fildi and Wailomayo wards of  Makurdi LGA in Benue State. There was also a report of communal clashes in the communities of Abbatoir and Angwuan Jukun in North Bank Ward. The reasons for the clash were unknown. Sixty-one fatalities and injuries were reported. The rainfall/attack affected 19,900 individuals in 3,401 households. The affected individuals included 9,091 children, 5,842 women, and 4,967 men.


Of all the needs identified, food and security were the most prevalent. Other needs included shelter and non-food items (NFI).

Following these events, DTM (Displacement Tracking Matrix) field staff conducted rapid assessments to inform the humanitarian community and Government/partners, and to enable a targeted response. 

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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 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.

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Contact
DTMAfghanistan@iom.int
Language
Pashto
Location
Afghanistan
Period Covered
Jun 09 2024
Jun 15 2024
Activity
  • Survey
  • Flow Monitoring Survey
  • Flow Monitoring

د افغانستان آي اُو اِم د (ډي تي اِم) پروګرام د خلکو د تګ راتګ د جریان څارنې فعالیت د لپاره ډیزاین شوي ترڅو د ایران اسلامی جمهوریت او پاکستان سره په سرحدی پولو کې په سرحدونو کې د خوځښت او تګ راتګ په اړه ښه پوه شي. په دی فعالیت کې به دوه یو له بل سره تړلي یا اړوند فعالیتونه ترسره کیږي. لومړی د ټولو هغو کسانو شمیرل دي چې افغانستان ته راځي او یا د افغانستان څخه بهر وځي، چې د جریان د څارنې د شمیر په نوم هم بلل کیږي، ترڅو افغانستان ته د تګ او راتګ شمیر معلوم کړي. دوهم د نمونې په ډول د ځینو کساو یا ډلو سروې ده چې افغانستان ته د راتللو یا وتلو په حال کې ترسره کیږي، چې د جریان د څارنې سروې په نوم هم یادیږي، ترڅو د تلونکو او راتلونکو خلکو د ځانګړتیاوو، هڅو په اړه پوه شي. ډي ټي اِم دا فعالیت په څلورو هغه سرحدي پولو کې چې د عمومي لارو سره وصل دي او همدارنګه دا فعالیت د ایران  اسلامی جمهوریت او پاکستان سره په دریو نورو سرحدي پولو کې هم ترسره کیږي. په دی اونیز راپور کې د آي اُو اِم د مختلفو سرچینو څخه معلومات راټول شوي. د معلوماتو د راټولولو د میتودولوژۍ او په دی اړه د ډیرو معلوماتو لپاره ددې راپور آخري پاڼې ته د (افغانستان ته د راتګ په اړه د آي اُو اِم معلومات) عنوان ته مراجعه وکړئ 

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Contact
DTMAfghanistan@iom.int
Language
English
Location
Afghanistan
Period Covered
Jun 09 2024
Jun 15 2024
Activity
  • Survey
  • Flow Monitoring Survey
  • Flow Monitoring

The IOM Afghanistan’s DTM Flow Monitoring activity is designed to provide insights into the mobility patterns at Afghanistan’s border points with the Islamic Republic of Iran and Pakistan. The activity involves two interlinked exercises: the Flow Monitoring Counting (FMC), a headcount of individuals crossing the border, and the Flow Monitoring Surveys (FMS), which collect data on the profiles and intentions of randomly selected Afghan nationals. DTM FM is operational at four main crossing points (connected to Afghanistan’s National Highway) as well as three 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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RO Dakar, RODakar-DataResearch@iom.int
Language
English
Location
Period Covered
Jan 01 2023
Dec 31 2023
Activity
  • Other
  • Flow Monitoring

This document is a compilation of data collected by IOM from FRONTEX as well as the Italian, Spanish, Greek, and Maltese interior ministries on migratory movements from Africa to Europe between 2017 and 2023. IOM works closely with a wide range of actors, including government and non-government partners, to collect and compile this data every quarter. This document presents the situation of migrant arrivals in Europe based on data between 2017 and 2023 from the point of view of movements from West and Central Africa (WCA).

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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%).