South Sudan
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Administrative division with available number of displaced persons
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Biometric Registration sites
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Event tracking
Legend
Base map from Google and country shapes from ESRI are for illustration purposes only. Names and boundaries do not imply official endorsement or acceptance by IOM.
IOM’s Displacement Tracking Matrix conducted 3,615 interviews representing 11,232 individual movements into and out of Naivasha IDP camp site from July to September 2020.
IOM’s Displacement Tracking Matrix conducted 5,563 interviews representing 18,044 individual movements in to and out of Bentiu Protection of Civilian (PoC) site from July to September 2020. Most of the same day movements were females (80%) moving out of the site to collect firewood.
IOM’s Displacement Tracking Matrix continues to conduct Displacement Site Flow Monitoring (DSFM) in Malakal Protection of Civilian (PoC) site. During this reporting period (July to September 2020), 4,053 interviews were conducted at the site’s gate representing 5,683 individual journeys.
This reports contains summary of findings from the consultation process with affected communities in South Sudan for the UN Secretary-General's High Level Panel on Internal Displacement (HLP on IDPs) conducted through a series of focus group discussions and key informant interviews between August
IOM’s Displacement Tracking Matrix conducts a country-wide Mobility Tracking exercise in regular intervals to update a comprehensive IDP and returnee baseline.
The Bentiu Protection of Civilian (PoC) site was established in December 2013.
The Bentiu Protection of Civilian (PoC) site was established in December 2013.
In September 2020, the monthly population count was conducted at Masna collective centre where 5,11 individuals/825 households were identified and Naivasha IDP Camp (former Wau PoC AA) with 9,573 individuals/2,964 households.
In August 2020, the monthly population count was conducted at Masna collective centre where 4,925 individuals/806 households were identified and Wau PoC AA with 9,295 individuals/2,688 households.
On 16 September 2020, IOM’s Displacement Tracking Matrix (DTM) conducted Emergency Event Tracking to capture information about flood affected population in Twic East and Duk Counties of Jonglei State.
IOM’s Displacement Tracking Matrix (DTM) conducted an Emergency Event Tracking assessment to capture information about flood affected population in Tonj North County of Warrap State on 16 September 2020.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan.
Mobility tracking aims to quantify the presence and needs of internally displaced persons (IDPs), returnees and relocated individuals in displacement sites and host communities across South Sudan. The assessments are repeated at regular intervals to track mobility dynamics and needs over time.
DTM conducts ad hoc Event Tracking assessments in order to map instances of new displacement or return in short dedicated reports.
DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.
DTM focal points conducted emergency Event Tracking assessments in Adior and Malek payams of Yirol East County on 6 September 2020, to collect information on locations of displacement, urgent needs and demographic profiles of households displaced as a result of flooding.
IOM’s Displacement Tracking Matrix (DTM) conducted emergency Event Tracking on 23 September 2020 to capture information about conflict induced displacement to Juba County, Central Equatoria State.
IOM’s Displacement Tracking Matrix conducted a remote Event Tracking assessment between 14 and 21 September 2020 in Raja County, Western Bahr El Ghazal State with subsequent follow-up on the ground.
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.
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).
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