East and the Horn of Africa
DTM East and the Horn of Africa
DTM Operations in the region
- Active DTM operation
- Past DTM operation
In April 2023, 26,746 migratory movements were observed at flow monitoring points (FMP) in Djibouti with a daily average of 892 migratory movements. The migratory flows observed on all the FMPs increased by 13% compared to March 2023 during which 23,711 movements had been recorded.
La DTM a identifié 978 personnes affectées dont 69 personnes déplacées par les pluies torrentielles et les vents violents dans le province de Cibitoke.
There are 358,620 individuals currently displaced by drought in Gedo region.
There are 355,360 individuals currently displaced by drought in Gedo region.
This snapshot provides an overview of the impact of drought on human mobility in the region, with a focus on Djibouti, Ethiopia, Kenya and Somalia.
La DTM a identifié 411 personnes affectées dont 350 personnes déplacées par les pluies torrentielles et les glissements de terrain dans les provinces de Makamba et Bujumbura Rural.
A total of 27,201 movements were observed in February 2023, representing a -5% decrease compared to 2022 when 28,717 movements were observed during the same period.
A total of 34,554 movements were observed in January 2023, representing a 8% increase compared to 2022 when 31,960 movements were observed during the same period.
La DTM a identifié 43 794 personnes affectées dont 326 personnes déplacées par les inondations, les pluies torrentielles et les glissements de terrain dans les provinces de Bubanza, Kirundo et Ruyigi.
There are 351,698 individuals currently displaced by drought in Gedo region.
The Horn of Africa and Yemen is one of the busiest and riskiest migration corridors in the world travelled by hundreds of thousands of migrants, the majority of whom travel in an irregular manner, often relying on smugglers to facilitate movement along the Eastern Route.
In March 2023, a total of 37,846 movements were observed across five of Ethiopia's flow monitoring points (FMPs). This represents a 10% increase in daily average movements in comparison with February 2023 when an average of 1,114 movements per day were observed.
Floods, accidents, drought, landslides and heavy winds accompanied by hailstorms were the major hazard events reported in the month of April. The disasters affected a total of 19,311 individuals, representing 3,857 households while 552 individuals from 394 households were interna
Floods, accidents, drought, landslides and heavy winds accompanied by hailstorms were the major hazard events reported in the month of April. The disasters affected a total of 19,311 individuals, representing 3,857 households while 552 individuals from 394 households were internally displaced.
La DTM a identifié 6 742 personnes affectées dont 327 personnes déplacées par les pluies torrentielles et les vents violents dans les provinces de Cibitoke, Muyinga et Kirundo.
There are 347,679 individuals currently displaced by drought in Gedo region. Since round 59 an estimated 4,985 IDPs arrived at the assessed settlements.
There are 343,213 individuals currently displaced by drought in Gedo region.
There are 339,342 individuals currently displaced by drought in Gedo region. Since round 57 an estimated 3,437 IDPs arrived at the assessed settlements.
La DTM a identifié 805 personnes affectées par les pluies torrentielles et les vents violents dans les provinces de Makamba, Giteha et Cankuzo.
In March 2023, 23,711 migratory movements were observed at flow monitoring points (FMP) in Djibouti with a daily average of 765 migratory movements. The migratory flows observed in all FMPs increased by 17% compared to February 2023 during which 20,237 movements were recorded.
En mars 2023, 23 711 mouvements migratoires ont été observés aux points de suivi des flux (FMP) à Djibouti avec une moyenne quotidienne de 765 mouvements migratoires.
There are 340,375 individuals currently displaced by drought in Gedo region. Since round 56 an estimated 7,598 IDPs arrived at the assessed settlements.
The Horn of Africa and Yemen is one of the busiest and riskiest migration corridors in the world travelled by hundreds of thousands of migrants, the majority of whom travel in an irregular manner, often relying on smugglers to facilitate movement along the Eastern Route.
La DTM a identifié 19 683 personnes affectées (3 616 ménages) dont 312 personnes déplacées (57 ménages) par la grêle, les pluies torrentielles et les vents violents dans les provinces de Bubanza, Rumonge, Ngozi, Muyinga et Kirundo.
Uganda — Baseline Assessment — May 2020 — Round 1
Oct 19 2020
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.
Ethiopia - Site Assessment Round 22
Sep 25 2020
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community. A total of 1,297 IDPs sites were assessed this round.
Burundi — Baseline Assessment — Round 54
Sep 23 2020
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.
Somalia - Baseline Assessment (B2) - Pilot Round 0
Sep 15 2020
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.
South Sudan — Flow Monitoring Registry — July 2020
Sep 01 2020
Flow monitoring aims to derive quantitative estimates of the flow of individuals through specific locations and to collect information about the profile, intentions and vulnerabilities of the people moving. It aims to quantify highly mobile populations by providing a picture of complex mobility…
South Sudan — COVID-19 Mobility Update 15 (27 July - 9 August 2020)
Aug 25 2020
Dataset for COVID-19 Mobility Update 15
South Sudan - Village Assessment Survey - Wau, Rubkona, Bor South, Aweil Centre, Malakal, Magwi and Torit, Boma Multisectoral Service Availability (August 2019 - March 2020)
Aug 25 2020
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal…
South Sudan - Village Assessment Survey - Wau, Rubkona, Bor South, Aweil Centre, Malakal, Magwi and Torit, FIS (August 2019 - March 2020)
Aug 25 2020
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal…
South Sudan - Village Assessment Survey - Wau, Rubkona, Bor South, Aweil Centre, Malakal, Magwi and Torit, Education Facility Assessment (August 2019 - March 2020)
Aug 25 2020
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal…
South Sudan - Village Assessment Survey - Wau, Rubkona, Bor South, Aweil Centre, Malakal, Magwi and Torit, Health Facility Assessment (August 2019 - March 2020)
Aug 25 2020
Since the beginning of the exercise in the last quarter of 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) across 7 counties covering 182 out of 219 bomas (achieving 83 per cent coverage) in Wau, Rubkona, Bor South, Torit, Magwi, Aweil Centre and Malakal…
South Sudan — Site Assessment - Round 8
Aug 03 2020
A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
South Sudan — Flow Monitoring Registry — June 2020
Aug 03 2020
Flow monitoring aims to derive quantitative estimates of the flow of individuals through specific locations and to collect information about the profile, intentions and needs of the people moving and to quantify highly mobile populations by providing a picture of complex mobility dynamics.
South Sudan — COVID-19 Mobility Update 13 (29 June - 12 July 2020)
Aug 01 2020
Dataset for COVID-19 Mobility Update 13
Burundi — Baseline Assessment — Round 53
Jul 27 2020
A baseline assessment is a sub-component of mobility tracking. It aims to collect data on IDP, migrant or returnee population presence in a defined administrative area of the country.
South Sudan — Flow Monitoring Registry — May 2020
Jul 15 2020
Flow monitoring aims to derive quantitative estimates of the flow of individuals through specific locations and to collect information about the profile, intentions and vulnerabilities of the people moving. It aims to quantify highly mobile populations by providing a picture of complex mobility…
South Sudan — COVID-19 Mobility Update 12 (15-28 June 2020)
Jul 03 2020
Dataset for COVID-19 Mobility Update 12 (15-28 June 2020)
South Sudan — COVID-19 Mobility Update 11 (1-14 June 2020)
Jun 26 2020
Dataset for COVID-19 Mobility Update 11 (1-14 June 2020)
South Sudan — COVID-19 Mobility Update Week 10 (25-31 May 2020)
Jun 17 2020
Dataset for COVID-19 Mobility Update 10
South Sudan — COVID-19 Mobility Update Week 9 (18-24 May 2020)
Jun 11 2020
Dataset for COVID-19 Mobility Update 9
This map shows a picture of return and relocation flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions.
This map shows a picture of long / medium term migration flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions.
This map shows a picture of the human mobility network tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 2020. Figures are only indicative of existing trends among respondents at the active FMPs since DTM does not have full coverage of cross-border or internal flows. Participation in the survey is voluntary and anonymous.Flows are mapped at the second administrative level for neighbouring countries and at the county or payam level for South Sudan. Flows to and from camps are mapped using UNHCR or IOM camp coordinates where available.The map is best visualized in Adobe Acrobat or Chrome, other PDF readers may result in graphic distortions.
Seasonal Flood Analysis for Koch County in Unity State as of 28 and 29 December 2020.
Seasonal Flood Analysis for Panyijar County in Unity State as of 29 September 2020.
Seasonal Flood Analysis for Ayod County in Jonglei State as of 29 September 2020.
Seasonal Flood Analysis for Twic East County in Jonglei State as of 28 December 2020.
Seasonal Flood Analysis for Tonj East County in Warrap State as of 29 October 2020.
Seasonal Flood Analysis for Twic East County in Jonglei State as of 29 October 2020.
Seasonal Flood Analysis for Terekeka County in Central Equatoria State as of 29 October 2020.
This document contains country-level overview of location types assessed during Mobility Tracking Round 9 conducted between July and September 2020.
This document contains payam/sub-area level overview of assessed locations with confirmed presence of IDPs and returnees (Mobility Tracking Round 9, September 2020).
This document contains state-level maps with indicated location types (IDP, returnee) as per Mobility Tracking Round 9 assessment (September 2020).
This map displays assessed locations with confirmed presence of IDPs and Returnees (Mobility Tracking Round 9, September 2020).
This map displays the number of returnees by county as of September 2020, Round 9 of Mobility Tracking.
This map displays the number of IDPs by county as of September 2020, Round 9 of Mobility Tracking.
Seasonal Flood Analysis for Duk County in Jonglei State as of 29 September 2020.
Seasonal Flood Analysis for Bor South County in Jonglei State and Awerial County in Lakes State as of 29 September 2020.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in South Sudan and neighbouring countries compiled by UNICEF. This indicative map of population inflows aims to inform public health measures to reduce the risk of COVID-19 transmission and enable safe mobility. The map shows the total number of incoming individual movements recorded across all flow monitoring points.Data reflects the situation as of 31 July.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in South Sudan and neighbouring countries compiled by UNICEF. This indicative map of population inflows aims to inform public health measures to reduce the risk of COVID-19 transmission and enable safe mobility. The map shows the total number of incoming individual movements recorded across all flow monitoring points.Data reflects the situation as of 30 June.
IOM DTM has ben collaborating with South Sudan's National Bureau of Statistics to develop updated enumeration areas for Juba Town and map shelter density using remote sensing data. The aim of this work is to inform the COVID-19 response and enable the roll-out of representative household surveys in collaboration with humanitarian and development partners.
DTM API
Making global IDPs data accessible and reliable
The Displacement Tracking Matrix application programming interface (API) accelerates secure sharing of IDPs’ data, simplifying access to data across users and partners to support action, insight and foresight.