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Countries
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Data and Analysis
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Special Focus
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Crisis Responses
East and the Horn of Africa
DTM East and the Horn of Africa
DTM Operations in the region
- Active DTM operation
- Past DTM operation
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Somalia — Emergency Trend Tracking Round 56 — Gedo region — (Mar 25 — Mar 29, 2023)
There are 337,581 individuals currently displaced by drought in Gedo region.
Burundi — Suivi des urgences (26 - 31 Mars)
Entre le 26 et le 31 mars 2023, la DTM a identifié 472 personnes affectées, dont 221 personnes déplacées.
Apr 04 2023
Burundi — Suivi des urgences (26 - 31 Mars)
Somalia – Transhumance Tracking Tool – Overview (February 2023)
IOM Somalia is piloting the Displacement Tracking Matrix (DTM) Transhumance Tracking Tool (TTT) system to provide regular and transparent data on pastoral mobility to contribute to the prod
Somalia – Countrywide Baseline 2 Atlas – Round 1 (Feb 2020 – Jan 2022)
Between February 2020 and January 2022, IOM DTM implemented its first round of Baseline 2 exercise in Somalia. Baseline 2, an area-based assessment, is the second step of Mobility Tracking implemented at settlement level and aims to quantify presence of population categories.
Somalia — Emergency Trend Tracking Round 55 — Gedo region — (Mar 18 — Mar 22, 2023)
There are 332,117 individuals currently displaced by drought in Gedo region.
Djibouti — Rapport sur les Points de suivi des flux (janvier 2023)
En janvier 2023, 24 001 mouvements migratoires ont été observés aux points de suivi des flux (FMP) à Djibouti avec une moyenne quotidienne de 774 mouvements migratoires.
Djibouti — Migration Trends Dashboard (January 2023)
In January 2023, 24,001 migratory movements were observed at flow monitoring points (FMP) in Djibouti with a daily average of 774 migratory movements. The migratory flows observed on all FMPs increased by 25 percent compared to December 2022, during which 19,156 movements were recorded.
Djibouti — Rapport sur les Points de suivi des flux (Février 2023)
En février 2023, 20 237 mouvements migratoires ont été observés aux points de suivi des flux (FMP) à Djibouti avec une moyenne quotidienne de 778 mouvements migratoires.
Ethiopia — Flow Monitoring Dashboard 41 (February 2023)
In February 2023, a total of 31,178 movements were observed across five of Ethiopia's flow monitoring points (FMPs).
Djibouti — Migration Trends Dashboard (February 2023)
In February 2023, 20,237 migratory movements were observed at flow monitoring points (FMP) in Djibouti with a daily average of 778 migratory movements. The migratory flows observed on all the FMPs decreased by 16% compared to January 2023 during which 24,001 movements were recorded.
Somalia — Emergency Trend Tracking Round 54 — Gedo region — (Mar 11 — Mar 15, 2023)
There are 326,128 individuals currently displaced by drought in Gedo region.
South Sudan — Bentiu Town Sites Population Count (January 2023)
As per January 2023 population count findings, the Bentiu Town Sites (A, B, C, D, and E) population stands at 63,022 individuals / 9,089 households (on average 6 individuals per household). This represents one per cent decrease (5,563 individuals/237 households) compared to October 2022.
Burundi — Suivi des urgences 25 (12 - 18 mars)
Entre le 12 et le 18 mars 2023, la DTM a identifié 15 personnes affectées, dont 15 personnes déplacées par les vents violents dans la province de Rutana.
Mar 20 2023
Burundi — Suivi des urgences 25 (12 - 18 mars)
Uganda - Info Sheet: Multi-Hazard Response/DRR Platform (February 2023)
During the reporting period, drought was reported in the Teso subregion mainly in Katakwi, Amuria and Kapelabyong districts. Fires were experienced in Amuria, Wakiso and Ntungamo while hailstorms were reported in Tororo. Disasters in February affected a total of 2,890 i
Uganda – Info Sheet: Multi-Hazard Response/DRR Platform (16 March 2023)
During the reporting period, drought was reported in the Teso subregion mainly in Katakwi, Amuria and Kapelabyong districts. Fires were experienced in Amuria, Wakiso and Ntungamo while hailstorms were reported in Tororo.
Somalia — Emergency Trend Tracking Round 53 — Gedo region — (Mar 04 — Mar 08, 2023)
There are 322,060 individuals currently displaced by drought in Gedo region.
Somalia — Emergency Trend Tracking Round 52 — Gedo region — (Feb 25 — Mar 02, 2023)
There are 320,439 individuals currently displaced by drought in Gedo region.
Burundi — Suivi des urgences 20 (6 - 11 février)
Entre le 6 et le 11 février 2023, le DTM a identifié 4 699 personnes affectées, dont 637 personnes déplacées par la grêle, les vents violents, les pluies torrentielles et les inondations dans les provinces de Bujumbura, Muyinga et Cankuzo.
Mar 14 2023
Burundi — Suivi des urgences 20 (6 - 11 février)
Burundi — Suivi des urgences 24 (05 - 11 mars)
Entre le 5 et le 11 mars 2023, la DTM a identifié 13 284 personnes affectées, dont 120 personnes déplacées par la grêle, les pluies torrentielles et les glissements de terrain dans les provinces de Bujumbura, Bubanza, Kayanza et Muyinga.
Mar 13 2023
Burundi — Suivi des urgences 24 (05 - 11 mars)
Somalia — Emergency Trend Tracking Round 51 — Gedo region — (Feb 18 — Feb 23, 2023)
There are 315,976 individuals currently displaced by drought in Gedo region.
Migration Along the Eastern Corridor (January 2023)
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.
South Sudan — Return and Reintegration Survey in South Sudan’s Former Breadbasket
A quantitative and qualitative survey was carried out within four counties in Central Equatoria State: Kajo-Keji, Lainya, Morobo and Yei.
South Sudan — Mobility Tracking Round 13 Initial Data Release
This summary presents initial findings from Round 13 of Mobility Tracking conducted across South Sudan through key-informant assessments at location-level in August 2022.
Burundi — Suivi des urgences 23 (26 février - 04 mars)
Entre le 26 février et le 4 mars 2023, dans la province de Bujumbura Rural, la DTM a identifié 37 personnes affectées, dont 11 ont été déplacées par des glissements de terrain. Parmi ces personnes, deux personnes sont blessées.
Pagination
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South Sudan - Village Assessment Survey - Wau, Rubkona and Bor South, FIS (August - November 2019)
May 06 2020
Between August and November 2019, IOM’s Displacement Tracking Matrix (DTM) conducted Village Assessment Survey (VAS) in Rubkona, Wau and Bor South Counties assessing a total of 63 bomas (13 in Bor South, 11 in Rubkona and 39 in Wau) and carrying key informant interviews at 191 educational…
Burundi — Baseline Assessment — Round 51
Apr 28 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 — 16 au 22 Mars 2020
Mar 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…
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.
Pagination
South Sudan - Wau County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Torit County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Rubkona County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Malakal County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Magwi County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Bor South County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan - Aweil Centre County_Village Assessment Survey_Facilities Infrastructure and Services
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 counties. Additional 9 focus group discussions were conducted, due to varying perspectives on boma boundaries. To supplement the findings from the boma questionnaire, key informant interviews were conducted at 560 educational facilities and 150 health facilities. In addition to this, Facility, Infrastructure and Service mapping component geo referenced 3,227 facilities including administrative buildings, education facilities, healthcare facilities, markets, religious buildings, transport points and water points.
South Sudan — Unity State Flooding (August 2020)
Seasonal Floods Analysis in Unity State for 5, 11 and 12 August 2020
South Sudan — Jonglei State Flooding (August 2020)
Seasonal Floods Analysis in Jonglei State for12, 14 and 19 August 2020
South Sudan — COVID-19 — Inflows from neighbouring countries (May 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, with the aim of mapping population inflows at risk of COVID-19 transmission. This map shows the total number of incoming individual movements recorded across all flow monitoring points.Data reflects the situation as of 31 May.
South Sudan — COVID-19 — Flows From Affected Areas (May 2020)
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
South Sudan — Mobility Tracking Round 8 IDPs by County (March 2020)
This map displays the number of IDPs by county as of March 2020 (round 8 of mobility tracking).
South Sudan — Mobility Tracking Round 8 Returnees by County (March 2020)
This map displays the number of returnees by county as of March 2020 (round 8 of mobility tracking).
South Sudan — COVID-19 - Inflows Flow Neighbouring Countries (April 2020)
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.
South Sudan — COVID-19 - Inflows From Affected Areas in Neighbouring Countries (April 2020)
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.
South Sudan — COVID-19 — Inflows From Affected Areas in Neighbouring Countries (March 2020)
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.
South Sudan — COVID-19 — Inflows From Affected Areas in Neighbouring Countries (March 2020)
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.
South Sudan — COVID-19 — Inflows from neighbouring countries (March 2020)
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.