South Sudan
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Administrative division with available number of displaced persons
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Site assessed by DTM
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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.
The report provides an overview of DTM activities throughout the first quarter of 2020.
On 30 May 2020, IOM’s Displacement Tracking Matrix (DTM) conducted Emergency Event Tracking to capture information about flood related displacement in Bor South County.
Between 24 and 28 May 2020, IOM’s Displacement Tracking Matrix (DTM) recorded the arrival of 630 South Sudan nationals (90 households) from Soba Arada (Khartoum, Sudan).
IOM’s Displacement Tracking Matrix (DTM) conducted Emergency Tracking in Uror County, Jonglei State on 19 May 2020 and recorded information related to communal clashes.
The Ministry of Health (MoH) announced 188 new cases on 27 May 2020, 17 of which were imported with a total of 994 positive cases, 6 recoveries, and 10 deaths.
As of 24 May 2020 the number of confirmed COVID-19 cases in South Sudan stands at 655 of which 95 per cent were recorded in Juba.
In May 2020, the monthly population count was conducted at Masna collective centre where 6,127 individuals were identified and Wau PoC AA with 9,956 individuals. On 9 April 2020, the Diocesan Major Response Team on COVID-19 requested to close several Wau collective centres.
This summary presents initial findings from the eighth round of Mobility Tracking conducted across South Sudan through key-informant based assessment at payam and location level between February and March 2020.
As per the May 2020 population count, the population stands at 111,766 individuals (15,959 households) in 12,054 inhabited shelters (on average 9 individuals per shelter).
IOM’s Displacement Tracking Matrix conducted 5,172 interviews representing 15,228 individual movements into and out of Bentiu Protection of Civilian (PoC) site, Malakal PoC site, Wau PoC Adjacent Area (AA) and Wau collective centres.
DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.
As per the April 2020 population count, the population stands at 117,727 individuals (16,210 households) in 12,054 inhabited shelters (on average 10 individuals per shelter).
IOM’s biometric registration system has been active since 2014, with 919,098 beneficiaries active in its database to date, out of which 56 per cent (514,351 individuals) are female.
On 24 April 2020, DTM conducted a field visit to Jezira site in Yei County to verify information about the recent displacement linked to armed clashes and tensions between the South Sudan People’s Defense Forces (SSPDF) and the National Salvation Front (NAS) in Mukaya Payam, Lainya County.
IOM’s Displacement Tracking Matrix (DTM) conducted an Emergency Event Tracking through interviews with key informants and direct observations in order to gather information on locations of displacement, key needs, and demographic profiles of displaced households affected by clashes between cattle
As of 17 May 2020, the High-Level Task Force (HLTF) on COVID-19 has confirmed 347 cases of the virus in South Sudan. The first death was recorded on 14 May, rising to six by the end of the reporting period. On 17 May 2020, South Sudan’s first vice president and chairman of the HLTF, Dr.
By 10 May 2020 the number of confirmed COVID-19 cases has increased to 156 according to the Ministry of Health. Two COVID-19 patients reportedly recovered as of 4 May 2020.
This atlas contains 17 individual maps as part of the Wau, Rubkona And Bor South Village Assessment Survey (August - November 2019).
This atlas contains 17 individual maps as part of the Wau, Rubkona And Bor South Village Assessment Survey (August
This atlas contains 17 individual maps as part of the Wau, Rubkona And Bor South Village Assessment Survey (August
IOM’s Displacement Tracking Matrix (DTM) and WHO's Health Service Functionality (HSF) teams collaborated to produce this joint analysis on health care access for internally displaced persons (IDPs) and returnees in South Sudan.
As part of IOM’s Ebola Virus Disease (EVD) preparedness activities, DTM operates Flow Monitoring Points (FMPs) on the borders with Uganda (UGA), the Democratic Republic of Congo (DRC) and the Central African Republic (CAR).
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.
Mobility Tracking round 7: displacement due to communal clashes for IDP arrivals between 2014 and 2019.
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