Mobility Tracking

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Contact
iomkenya@iom.int
Language
English
Location
Kenya
Snapshot Date
May 02 2024
Activity
  • Mobility Tracking
  • Baseline Assessment

To assess drought-induced mobility and identify the most urgent sectoral needs experienced by the community, the IOM
Displacement Tracking Matrix (DTM) Mobility Tracking and Multi-Sectoral Location Assessment (MSLA) baseline assessment
was deployed in 2022 in Turkana County. A second round of data collection for mobility tracking took place between May
and June 2023, presented here. Key findings from this assessment included: 

• Between November 2022 and May 2023, the reported primary driver of displacement shifted from drought to
forced displacement due to resource -based conflict and ethnic clashes.
• Almost all arrival households (96% or 15,024 households) arrived at sub-locations in May 2023 that already
struggled with the severe effects of drought, resource-based conflict, and ethnic clashes.
• 78 per cent of returnees temporarily resided in Turkana in a location outside their immediate area of
origin, suggesting prevalent internal migration within the county.
• 19,515 child-headed households were identified. Of these, 1,622 (8%) had no relatives or community members
living near them and were separated from their legal or customary guardians.
• 6,216 children were without permanent sources of support.
• Almost half (48%) of the assessed sub-locations that reported loss of livestock reported child labour (whether
within or outside the ward) as a coping strategy, while around one quarter (24%) of sub-locations reported early
marriage of boys and girls as a key coping strategy.

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Contact
DTM Burundi, DTMBurundi@iom.int
Language
English
Location
Burundi
Period Covered
Apr 22 2024
Apr 28 2024
Activity
  • Mobility Tracking
  • Event Tracking

Le rapport DTM indique qu'entre le 22 et le 28 avril 2024, au Burundi, 44 202 personnes ont été affectées et 3 455 déplacées suite à des pluies torrentielles, des glissements de terrain, et des inondations nécessitant une réponse immédiate de la communauté humanitaire. Parmi les affectés, 23 043 sont des femmes et 21 159 sont des hommes.

La répartition par type d'urgence montre que les inondations ont affecté 24 891 personnes et en ont déplacé 2 539, les pluies torrentielles ont affecté 19 033 personnes et en ont déplacé 804, et les glissements de terrain ont affecté 278 personnes et en ont déplacé 112. Les groupes vulnérables comprennent 40 femmes enceintes ou allaitantes, 10 hommes seuls chefs de ménage, 9 femmes seuls chefs de ménage, 7 personnes avec une maladie chronique, et 7 personnes âgées vivant seules. Les dommages incluent de nombreuses habitations ainsi que des infrastructures telles que des écoles, des églises et des bâtiments administratifs. Cette situation met en lumière la nécessité d'une aide humanitaire continue et ciblée dans la région.

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Contact
DTM Libya, DTMLibya@iom.int
Language
English
Location
Libya
Period Covered
Jan 01 2024
Feb 29 2024
Activity
  • Flow Monitoring
  • Mobility Tracking
  • Baseline Assessment

This infographic presents the key findings of Round 51 of the mobility tracking and flow monitoring components of the Displacement Tracking Matrix (DTM) programme in Libya.

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Contact
dtmmozambique@iom.int
Language
English
Location
Mozambique
Period Covered
Apr 17 2024
Apr 29 2024
Activity
  • Mobility Tracking
  • Event Tracking

Between 17 to 29 April 2024, sporadic attacks, and fear of attacks by Non-state Armed Groups in Ancuabe and Chiúre triggered the cumulative displacement of 41,251 individuals/9,775 families. The current Movement Alert #108 reports on most recent attacks in southern Cabo Delgado. For more information on displacements between February and March, please see {Emergency Tracking Online Dashboard}.

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Contact
DTM Libya, DTMLibya@iom.int
Language
English
Location
Libya
Period Covered
Jan 01 2024
Feb 29 2024
Activity
  • Mobility Tracking
  • Baseline Assessment

The number of migrants in Libya has been increasing since September 2023 and stands at its highest since DTM started operating in Libya. Previously, the number of migrants in Libya had declined as a result of the COVID-19 pandemic and its socioeconomic impact. Some factors that may explain the increase in the number of migrants includes a rise in the number of Sudanese nationals, particularly in Alkufra and other locations in eastern Libya because of the ongoing conflict in their country of origin. In parallel, DTM Libya also observed an increase in the number of nationals, particularly from Egypt and Sudan, in some municipalities in the east and southwest as a result of greater livelihood opportunities, including in the construction and agricultural sectors.

Public Dataset

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Contact
dtmlibya@iom.int
Location
Libya
Activity
  • Mobility Tracking
  • Baseline Assessment
Period Covered
Jan 01 2024 -
Feb 29 2024

Libya Migrants baseline assessment Round 51

Population Groups

Migrants Present

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Admin Area 4

Type of Survey or Assessment

Key Informant

Keywords

Geographical Scope Full Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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Contact
DTMMozambique@iom.int
Language
English
Location
Mozambique
Period Covered
Apr 17 2024
Apr 28 2024
Activity
  • Mobility Tracking
  • Event Tracking

Between 17 to 28 April 2024, sporadic attacks, and fear of attacks by Non-state Armed Groups in Ancuabe and Chiúre triggered the cumulative displacement of 35,948 individuals/8,427 families. The current Movement Alert #107 reports on most recent attacks in southern Cabo Delgado. For more information on displacements between February and March, please see {Emergency Tracking Online Dashboard}.

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Contact
DTM Pakistan, iomisbdtmremapteam@iom.int; DTM Libya, DTMLibya@iom.int
Language
English
Location
Libya
Period Covered
Oct 01 2023
Dec 31 2023
Activity
  • Survey
  • Flow Monitoring Survey
  • Mobility Tracking
  • Baseline Assessment

This snapshot on Pakistani migrants’ presence in Libya is part of the outputs of IOM’s EU-funded Displacement Tracking Matrix - Regional Evidence for Migration Analysis and Policy (DTM REMAP) project. Data collected through the Mobility Tracking assessment in Libya identified 5,852 Pakistani nationals in the country between October and December 20231. In addition, 94 flow monitoring surveys have been conducted. Mobility Tracking in Libya gathers data through key informant interviews at both the municipality and community levels on a bi-monthly basis. All 100 municipalities were assessed during the data collection period. Of the total migrants identified by key informants in the country in October and December 2023, Pakistani migrants comprised only one per cent of total migrants in the country; however, Pakistani nationals accounted for 10 per cent of all migrants, including refugees, from Asia and the Middle East. Ninety-five per cent of Pakistani migrants used air travel as their means of transportation to Libya. In addition, the average cost of their migration was 2,333 USD2. Eighty-four per cent of Pakistani migrants were identified in eastern Libya. However, the highest concentration was in Benghazi (74%) in the east, followed by Sirt (9%) in the west and Ejdabia (7%) in the east.

Apr 29 2024 Print

Environmental degradation and climate change are increasingly impacting migration and displacement throughout the East and Horn of Africa (EHoA). As drivers of human mobility, climatic events and changes intersect with other types of drivers in the region, such as conflict, creating a complex mobility dynamic. For example, droughts, extreme heat, and floods may lead to bio-diversity loss, reduced food production, increased economic stress, resource scarcity, and intensified conflict

To better understand and address these issues, IOM’s Displacement Tracking Matrix (DTM), in collaboration with UCL’s Institute for Risk and Disaster Reduction and Snowflake, held a two-part hackathon in London on 6-7 October 2023, and in Nairobi on 23-26 October 2023. The hackathons presented a unique opportunity for IOM to enhance key technical processes related to data collation, compilation, and analysis, with direct implications for future use of IOM’s mobility data for climate mobility research. This event brought together youth voices, technical experts from diverse backgrounds, and human mobility data specialists to evaluate the intersection of climate change, disasters, environmental degradation, and human mobility in the East and Horn of Africa region.

As the winners of the London hackathon, DTM conducted an interview with Peniel Adanna Ibe, Giulia Brutti, Nowsha Farha, Chen Yunxi Wynsey, and Denisa Armeilia Tami to further explore their research idea, process, and the result of their work. Particularly, their research, which adopted a data-driven, mixed methods approach, sought to explore how a gendered perspective can help explain the nexus between climatic factors and migration decisions in Ethiopia. As stated in their work:

“Understanding sex differences vis-à-vis mobility related to climate change and decision-making processes can offer critical insights for developing effective, sex-sensitive interventions and policies. Research shows that the climate crisis disproportionately impacts women and girls due to myriad socioeconomic factors that are often unique to their respective contexts but result in similar negative impacts by extreme weather events caused by climate change (Goh, 2012). By further understanding the gendered nature of climate mobility, we can provide gender-sensitive and transformative support to climate migrants, which the UN estimates predicts will be predominantly women and girls (UN WOMEN, 2023). With Ethiopia experiencing significant climate stressors and migration patterns, exploring this nexus is particularly relevant and insightful.”

To find out more about their research, please refer to the interview linked below.

If you wish to further explore the nexus on climate mobility in the East and Horn of Africa please check out the report that was prepared by IOM in collaboration with Snowflake and the participants of the London and Nairobi hackathon: Bridging Climate Change and Human Mobility— Collective analysis for a deeper understanding of climate mobility in the East and Horn of Africa

Participating Students

Chen Yunxi Wynsey

BSc Global Health and Humanitarian Studies, University College London

Wynsey is a final-year student at UCL reading Politics and International Relations. Her academic interests are in using quantitative data analysis to improve public policy implementation.

Denisa Armeilia Tami

BSc Politics and International Relations, University College London

Denisa Armeilia Tami is a final-year BSc Global Humanitarian Studies student at the Institute of Risk and Disaster Reduction (IRDR) at University College London (UCL). Denisa is interested in diaspora-related issues and risk modelling.

Giulia Brutti

PhD Civil, Environmental and Geomatic Engineering, University College London

Giulia is a PhD student in the Department of Civil, Environmental, and Geomatic Engineering at UCL. Her research focuses on understanding the drivers of migration in communities affected by natural disasters, particularly floods and droughts.

Prior to her PhD, Giulia worked as a software developer and researcher at the Grantham Research Institute on Climate Change & the Environment (LSE) on natural capital accounting for the Congo Basin Forest.

Nowsha Farh

PhD Education, University of Cambridge (MSc LSE- Social Research Methods; MSc UCL- Social Policy & Social Research)

Nowsha is a PhD student at the University of Cambridge on Artificial Intelligence (AI) in Education with a methodological and policy research background from University College London (UCL) and the London School of Economics and Political Science (LSE).

As the Head Director of Cambridge Development Initiative and an active member of the DEFI, CEDiR and the Centre for Climate Engagement, her research interests lay in effective utilisation of AI, Digital Ethics and Dialogic Cyber Wellness Intervention using Design-Based Research Implementation.

Peniel Adanna Ibe

MSc in Disaster Risk and Resilience, Univesity College London

Peniel Ibe is currently studying for an MSc in Risk, Disaster and Resilience at the Institute of Risk and Disaster Resilience (IRDR) at the University College London (UCL). Peniel has over 5 years of experience in immigration, climate, and economic justice policy advocacy campaigns at the U.S federal and international level.

She is particularly interested in how societies include the lived experience and expertise of vulnerable and marginalized communities in climate disaster mitigation and adaptation.

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Contact
DTMUKRAINE@IOM.INT
Location
Ukraine
Activity
  • Mobility Tracking
Period Covered
Mar 01 2024 -
Mar 31 2024

IOM's Data and Analytics (D&A) Unit developed the Mobility and Needs Assessment (MaNA), a monthly, multi-sectoral assessment designed to systematically monitor the estimated current presence of key population groups, including de facto Internally Displaced Persons (IDPs), returnees and non-displaced residents, at the hromada level. MaNA also offers a regular baseline for evaluating population needs at a granular level, with a specific focus on hard-to-reach areas. It utilizes sector specific indicators, serving as a compass to steer humanitarian programming and response efforts.

This dataset presents the primary findings from the seventh round of MaNA, conducted in March 2024 across 255 hromadas located in 23 oblasts and Kyiv City. Assessed hromadas were selected based on their relevance to humanitarian programming, pre-war population size, and known displacement trends.

This is a restricted dataset. To get access, kindly click on the 'Request Access' button.
Population Groups

IDPs

Residents

Returnee (Previously Internally Displaced)

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Site or Location

Type of Survey or Assessment

Key Informant

Keywords

Education

Food security & livelihoods

Health

Mobility

Protection

Shelter

SNFI

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries