East and the Horn of Africa
DTM East and the Horn of Africa
DTM Operations in the region
- Active DTM operation
- Past DTM operation
L'objectif de ce rapport est de consolider et de présenter les informations recueillies par l'Organisation Internationale pour les Migrations (OIM) au cours des discussions de groupe (Focus Group Discussion—FGD) et des entretiens avec les informateurs clés (Key Informants Interviews—KII) à Ali Sa
On the 23rd of November 2021, the Federal Government of Somalia declared a state of emergency due to drought. Three failed consecutive rainy seasons have resulted in 90% of the country experiencing severe drought conditions.
In January 2023, a total of 33,109 movements were observed across five of Ethiopia's flow monitoring points (FMPs). This represents a 3.5% increase in daily average movements in comparison with December 2022 when an average of 1,031 movements per day were observed.
The objective of this report is to consolidate and present the information collected by the International Organization for Migration (IOM) during focus group discussions (FGDs) and key informants interviews (KIIs) in Ali Sabieh and Dikhil in order to inform programmatic interventions to assist vu
Over the reporting period, a total of 50,166 movements were observed at nine (9) Flow Monitoring Points (FMPs) at the Ugandan border with Kenya, the Democratic Republic of Congo, the United Republic of Tanzania, Rwanda and South Sudan.
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.
In January 2023, three districts were reported to be hit by disasters. Floods were reported in Kampala while Kanungu was ravaged by heavy storms and wildfires in Kotido.
Entre le 12 et le 18 Février 2023, la DTM a identifié 3 184 personnes affectées dont 1 289 personnes déplacées. Les types d'urgences reportées comprennent Grêle, Vents violents et Pluies torrentielles.
As per January 2023 population count findings, the Bentiu IDP camp population stands at 100,356 individuals (16,821 households) in 11,988 inhabited shelters (on average of 8 individuals per shelter). This represents a two per cent decrease compared to October 2022.
In January 2023, the monthly population count was conducted at Masna Collective Centre where 2,909 individuals/ 598 households were identified and Naivasha IDP Camp where 6,713 individuals/ 1,726 households were counted.
A total of 30,220 movements were observed in December 2022, representing a 27% increase compared to 2021 when 27,779 movements were observed during the same period.
There are 315,076 individuals currently displaced by drought in Gedo region.
Migration picked up significantly across the three migratory corridors in the East and Horn of Africa region in 2022, thus marking the end of the impact of COVID-19-related restrictions on mobility flows.
Aweil South is one of five counties located in Northern Bahr el Ghazal State, in the north-west of South Sudan. Aweil South borders Aweil Centre to the west, Aweil East to the north, Warrap State (Gogrial West County) to the east and Western Bahr el Ghazal (Jur River County) to the south.
A total of 15,347 individuals (2,600 households) were reported to be residing at the site, at the time the exercise was conducted, of whom 56 per cent were women and girls. Around 38 per cent of households were composed of more than seven individuals.
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.
Marsabit County is the second largest county in Kenya covering 70,961.2 square kilometers(km)2, located in the upper Northern region of Kenya. It has an international boundary with Ethiopia to the north,
Tonj South is one of six counties in Warrap State, located in the north of South Sudan. Tonj South borders Tonj North to the north-west, Tonj East to the north-east, Lakes State to the east and south, Western Equatoria to the south-west, and Western Bahr el Ghazal to the west.
Entre le 29 Janvier 2022 et le 5 Février 2023, la DTM a identifié 28 473 personnes affectées dont 1 029 personnes déplacées. Les types d'urgences reportées comprennent Grêle, Vents violents, Pluies torrentielles et Inondations.
There are 314,160 individuals currently displaced by drought in Gedo region.
There are 315,281 individuals currently displaced by drought in Gedo region.
There are 312,915 individuals currently displaced by drought in Gedo region.
To assess the drought-induced mobility and identify the most urgent sectoral needs experienced by drought-affected communities, the IOM’s Displacement Tracking Matrix (DTM)-Mobility Tracking and Multi-sectoral Location Assessment (MSLA) has been rolled out in Isiolo County.
Entre le 22 au 28 Janvier 2023, la DTM a identifié 1 948 personnes affectées dont 418 personnes déplacées.
Burundi — Baseline Assessment — Round 50
Mar 18 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 — January 2020
Mar 17 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.
Burundi — Données de Suivi des Urgences — 02 au 08 Mars 2020
Mar 10 2020
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
Burundi — Données de Suivi des Urgences — 24 Février - 01 Mars 2020
Mar 03 2020
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
Ethiopia — Village Assessment Survey 3
Feb 26 2020
A village assessment survey (VAS) is a sub-component of mobility tracking. It collects data on returning IDPs, IDPs, returned migrants and host community members. VAS evaluates the absorption capacity of villages to receive returning IDPs with a focus on accessibility of services, livelihoods and…
Ethiopia - Site Assessment Round 20
Feb 26 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.
Burundi — Données de Suivi des Urgences — 17 - 23 Février 2020
Feb 24 2020
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
South Sudan - Baseline Assessment Round 7 - IDP and Returnee
Feb 21 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. The dataset contains summary by period of arrival (IDPs and returnees), reasons for displacement of IDPs by year of…
Burundi — Baseline Assessment — Round 49
Feb 21 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.
Burundi — Données de Suivi des Urgences — 19 - 25 Januray 2020
Jan 29 2020
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
South Sudan — Mobility Tracking Round 7 Initial data release
Jan 23 2020
The data-set contains mobility tracking round 7 data on IDPs and returnees on a state, county, payam and location level disaggregated by IDPs previously displaced abroad, IDPs not previously displaced abroad, returnees previously displaced abroad and returnees from within South Sudan.
Burundi — Baseline Assessment — Round 48
Jan 17 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.
Burundi — Données de Suivi des Urgences — 05 - 11 Janvier 2020
Jan 14 2020
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
Burundi — Baseline Assessment — Round 47
Jan 13 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 19
Jan 09 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.
Burundi — Données de Suivi des Urgences — Du 22 Au 28 Décembre 2019
Dec 31 2019
Activated on an ad hoc basis, the DTM Emergency Tracking provides early field reports at the beginning of a complex crisis, allowing IOM to gather, consolidate and disseminate baseline information on displacement and return figures at the onset of a newly emerging crisis. The DTM Emergency Tracking…
Djibouti - Flow monitoring - March 2019
Apr 30 2019
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.
Burundi - Baseline Assessment - Round 39
Apr 25 2019
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.
Djibouti - Flow monitoring - Février 2019
Apr 08 2019
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 - Village / Neighborhood Assessment - Round 4
Dec 31 2018
This dataset contains multisctoral data on 1,192 villages and neighbourhoods included in round 4 of DTM's mobility tracking.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggreagated data about COVID-19 cases in South Sudan and neighbouring countries compiled by UNICEF, with the aim of mapping population flows that may be vulnerable to COVID-19 transmission. Data on individuals travelling from areas with COVID-19 cases includes both those entering from neighbouring countries as well as internal movements within South Sudan.The data reflects the situation as of 31 May
This map displays the number of IDPs by county as of March 2020 (round 8 of mobility tracking).
This map displays the number of returnees by county as of March 2020 (round 8 of mobility tracking).
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. Data on individuals travelling from areas with COVID-19 cases includes both those entering from neighbouring countries as well as internal movements within South Sudan. The reported volume of individuals entering South Sudan from neighbouring countries has decreased considerably in April compared to March due to several factors:a reduction of population flows due to regional COVID-19 preventive measuresa reduction of flow monitoring pointsmore precise geographic data on areas with confirmed COVID-19 casesData reflects the situation as of 30 April.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggreagated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. Data on individuals travelling from areas with COVID-19 cases includes both those entering from neighbouring countries as well as internal movements within South Sudan. The reported volume of individuals entering South Sudan from neighboring countries has decreased considerably in April compared to March due to several factors:a reduction of population flows due to regional COVID-19 preventative measuresa reduction of flow monitoring pointsmore precise geographic data on areas with confirmed COVID-19 casesData reflects the situation as of 30 April.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows inflows from COVID-19 affected areas in neighbouring countries in March 2020. COVID-19 cases in neighbouring countries are mapped at the first administrative level in Kenya, the Democratic Republic of Congo and the Central African Republic, and at the second administrative level in Uganda, Sudan and Ethiopia.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows inflows from affected areas in neighbouring countries in March 2020. Cases are mapped at the first administrative level for Kenya, the Central African Republic and the Democratic Republic of Congo, and at the second administrative level for Ethiopia, Uganda and Sudan.
IOM DTM, UNHCR and REACH combined their flow monitoring data for South Sudan with geographically disaggregated data about COVID-19 cases in neighbouring countries compiled by UNICEF, with the aim of mapping population inflows at risk of COVID-19 transmission. The analysis is indicative of incoming movements 73 flow monitoring points at South Sudan’s borders and internal transport hubs, of which 65 recorded incoming cross-border travel in March 2020. This map shows overall inflows from neighbouring countries in March 2020.
These maps display IDP and returnee numbers by state on individual state maps (A4).
The map displays displacement locations, their data source and flooding in Leer County, Unity State as of November 2019.
The map displays displacement locations, their data source and flooding as of November 2019.
This map shows 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 39 Flow Monitoring Points between 01/02/2020 and 25/03/2020. 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 displays IDP and returnee locations in Western Equatoria for round 7 (November 2019).
This map displays IDP and returnee locations in Western Bahr el Ghazal for round 7 (November 2019).
This map displays IDP and returnee locations in Warrap for round 7 (November 2019).
This map displays IDP and returnee locations in Upper Nile for round 7 (November 2019).
This map displays IDP and returnee locations in Upper Nile for round 7 (November 2019).
This map displays IDP and returnee locations in Northern Bahr el Ghazal for round 7 (November 2019).
This map displays IDP and returnee locations in Lakes for round 7 (November 2019).
This map displays IDP and returnee locations in Jonglei for round 7 (November 2019).
This map displays IDP and returnee locations in Central Equatoria for round 7 (November 2019).
This map displays IDP and returnee locations in Eastern Equatoria for round 7 (November 2019).
This maps displays the shelter status of returnees thrughout South Sudan based on Mobility Tracking data round 7 (Nov 2019).
Mobility Tracking round 7: displacement due to natural disasters for IDP arrivals between 2014 and 2019.
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.