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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Dec 10 2023 -
Dec 16 2023

La DTM a identifié 916 personnes affectées (185 ménages) dont 716 personnes déplacées (136 ménages) par les pluies torrentielles, les inondations et les glissements de terrain dans les provinces de Bujumbura Rural et Rutana.

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

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Event Tracking
Période couverte
Dec 04 2023 -
Dec 09 2023

La DTM a identifié 294 personnes affectées dont 93 personnes déplacées par les pluies torrentielles  dans les provinces de Rutana et Makamba.

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

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
  • Baseline Assessment
Période couverte
Nov 20 2023 -
Nov 26 2023
La DTM a identifié 5945 personnes affectées (1136 ménages) dont 505 personnes déplacées (82 ménages) par les pluies torrentielles et les inondations dans les provinces de Kayanza, Rutana, Muramvya, Bujumbura Mairie, Gitega, et Cankuzo.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button
Population Groups

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Nov 13 2023 -
Nov 19 2023
En dates du 13 au 19 novembre 2023. La DTM a identifié 4 944 personnes affectées (942 ménages) dont 855 personnes déplacées (150 ménages) par les vents violents et les pluies torrentielles dans les provinces de Kirundo, Makamba, Rumonge, Rutana et Ruyigi.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button
Population Groups

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Nov 06 2023 -
Nov 12 2023
La DTM a identifié 2 701 personnes affectées (470 ménages) dont 493 personnes déplacées (86 ménages) par les pluies torrentielles et les inondations dans les provinces de Bubanza, Bujumbura Mairie et Rutana.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button
Population Groups

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Community

Type of Survey or Assessment

Key Informant

Keywords

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

Jeux de données publique REQUEST ACCESS

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Oct 30 2023 -
Nov 05 2023
La DTM a identifié 91 personnes affectées dont 91 personnes déplacées par les vents violents dans les provinces de Rumonge.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button
Population Groups

IDPs

Residents

Survey Methodology

Unit of Analysis Or Observation

Admin Area 2

Admin Area 3

Site

Type of Survey or Assessment

Key Informant

Keywords

Food security & livelihoods

Health

Mobility

Protection

Shelter

WASH

Geographical Scope Partial Coverage

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

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DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Oct 23 2023 -
Oct 29 2023
La DTM a identifié 4,926 personnes affectées dont 1,493 personnes déplacées par les vents violents et des pluies torrentielles dans les provinces de Mwaro, Kirundo, Bujumbura Mairie, Bururi, Cankuzo et Makamba.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

Jeux de données publique REQUEST ACCESS

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Contacter
DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Oct 15 2023 -
Oct 22 2023
La DTM a identifié 613 personnes affectées dont 183 personnes déplacées par les vents violents et des pluies torrentielles dans les provinces de Mwaro, Kirundo, Bujumbura Mairie, Bururi, Cankuzo et Makamba.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

Jeux de données publique REQUEST ACCESS

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Contacter
DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Oct 08 2023 -
Oct 15 2023
En dates du 8 au 15 octobre 2023, la DTM a identifié 10 507 personnes affectées (2 056 ménages) dont 779 personnes déplacées (157 ménages) par les vents violents, les pluies torrentielles et les inondations dans les provinces de Mwaro, Kirundo, Bujumbura Mairie, Bururi, cankuzo et Makamba.
A more detailed version of this dataset is available, to get access kindly click on the 'Request Access' button.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries

Jeux de données publique

Share

Contacter
DTM Burundi, DTMBurundi@iom.int
Emplacement
Burundi
Activité
  • Mobility Tracking
  • Event Tracking
Période couverte
Sep 10 2023 -
Sep 16 2023
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 relies heavily on information provided by RARTs or partners within the humanitarian community about an unfolding situation. The Emergency Tracking gathers data through IOM Burundi’s extended network of key informants, who provide basic information on the new displacement, be it of IDPs or returnees, or both, including numbers, location and shelter types. While IOM DTM strives to provide best estimates, the Emergency Tracking aims to be a quick monitoring tool with real-time data turnover ranging from 24 to 72 hours following its activation.
Population Groups

Survey Methodology

Unit of Analysis Or Observation

Type of Survey or Assessment

Keywords

Geographical Scope

Administrative boundaries with available data

The current dataset covers the following administrative boundaries