Mobility Tracking

The dataset presents findings from surveys conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management. 9 regions were covered, 45 rayons were assessed, and 1,228 returned migrants were interviewed.

Population Groups

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Other

Survey Methodology

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Geographical Scope Full Coverage

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The dataset presents findings from key informant interviews conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management. 9 regions were covered, 45 rayons were assessed, and 48,130 individuals were identified as having returned from abroad.

Population Groups

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Migrants Present

Other

Survey Methodology

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Geographical Scope Full Coverage

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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 report presents the primary findings from the sixth round of MaNA, conducted in February 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.

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Population Groups

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IDPs

Residents

Returnee (Previously Internally Displaced)

Survey Methodology

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Keywords

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Geographical Scope Partial Coverage

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IOM Afghanistan launched the first round of the DTM Baseline Area Assessment B1 in January 2024 as part of its ongoing efforts to collect crucial data on population mobility dynamics, specifically displacement and returns. In particular, the B1 activity seeks to map the presence of mobile population groups, such as Internally Displaced Persons (IDPs), returnees, and internal migrants, to enable further understanding of conditions, vulnerabilities, and humanitarian needs through targeted data collection and analysis.

The community-level dataset is available based on request only, to get access kindly click on the 'Request Access' button.

Population Groups

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IDPs

Returnee (Previously Displaced Abroad)

Returnee (Previously Internally Displaced)

Survey Methodology

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Keywords

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Geographical Scope Partial Coverage

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• DTM Sudan estimates that 6,552,118 individuals (1,308,617 households) have been recently internally displaced.
• IOM DTM also reports that an estimated 2,019,027 mixed cross-border movements have been made into neighbouring countries.
• Since 15 April 2023, 46 per cent of the IDP caseload sought refuge in the Darfur and Kordofan regions, whereas 53 per cent were observed across the Northern, Eastern, and Central states.
• The majority of the IDP caseload (66%) were seeking shelter with the host community.
• While food remains the highest priority need, health and non-food items are also growing concerns.

A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button

Population Groups

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IDPs

Survey Methodology

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Keywords

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Geographical Scope Partial Coverage

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• DTM Sudan estimates that 6,622,565 individuals (1,320,273 households) were recently internally displaced.
• The IDP caseload was observed in 7,076 locations across all of Sudan’s 18 states. 
• The highest proportions of IDPs were observed across South Darfur (11%), River Nile (11%), and East Darfur (10%).
• Field teams reported that the IDPs observed were originally displaced from twelve states. The majority (3,570,032 IDPs, 54%) were reportedly displaced from Khartoum state; followed by South Darfur (15%), Aj Jazirah (9%), North Darfur (9%), Central Darfur (4%), West Darfur (4%), South Kordofan (2%), East Darfur (1%), West Kordofan (1%), North Kordofan (1%), Sennar (1%) and White Nile (<1%).
• IOM-DTM also reported that an estimated 2,031,858 mixed cross-border movements were made into neighbouring countries.
• This product provides brief insights into those displaced in Sudan post-15 April 2023. For more granular information on the IDP caseload and the displacement context, please see IOM-DTM's Monthly Displacement Overview 07. 

A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button

Population Groups

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IDPs

Survey Methodology

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Keywords

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Geographical Scope Partial Coverage

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From 1 January to 6 April 2024, IOM Yemen DTM tracked 947 households (HH) (5,682 Individuals) who experienced displacement at least once.

Between 31 March and 6 April 2024, IOM Yemen DTM tracked 34 households (204 individuals) displaced at least once. The majority of people moved into/within the following governorates and districts:

• Ma’rib (32 HHs) – Ma’rib City (17 HHs), Ma’rib (10 HHs), Harib (5 HHs) districts. Most displacements in the governorate originated from Al Hodeidah and Ma’rib.
• Al Hodeidah (2 HHs) – Hays (2 HHs) district. All displacements in the governorate originated from Ta’iz.

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

• Al Hodeidah (9 HHs) – Bajil (5 HHs), Az Zaydiah (2 HHs), At Tuhayta (2 HHs) districts.
• Ta’iz (5 HHs) – Maqbanah (2 HHs), Jabal Habashi (1 HH), Sharab As Salam (1 HH) districts.
• Ma’rib (5 HHs) – Al Abdiyah (3 HHs), Harib (1 HH), Raghwan (1 HH) districts.

Population Groups

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Geographical Scope

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