South Sudan

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Displaced population tracked by DTM in South Sudan
Latest IDP estimates from IDMC
1,436,000
In South Sudan, IDMC GRID Dec 2019
Region
East Africa and the Horn of Africa

    Legend

  • Administrative division with available number of displaced persons
  • Site assessed by DTM
Operations

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.

DTM mapped four locations (neighbourhoods) of Internally Displaced Persons (IDPs) displaced by floods in Akobo County of Jonglei State on 15 September 2020 in coordination with other humanitarian partners and authorities.

IOM’s Displacement Tracking Matrix conducted Emergency Event Tracking on 16 September 2020 through interviews with key informants in order to gather information on locations of displacement, key needs and demographic profiles of displaced households affected by natural disaster (flooding).

On 10 September 2020, IOM’s Displacement Tracking Matrix joined an inter-agency flood assessment team in Mankien Town and Ruathnyibol to assess displacement dynamics, settlements and needs of flood affected populations. The floods displaced 3,015 individuals (425 households) in both locations.

IOM’s Displacement Tracking Matrix conducted 4,700 interviews representing 11,661 individual movements into and out of Bentiu Protection of Civilian (PoC) site, Malakal PoC site, Wau PoC Adjacent Area (AA) and Wau Masna Collective Centre in June 2020.

The first half of 2020 was marked by an escalation in sub-national and localized violence throughout the country and Jonglei State and the Greater Pibor Administrative Area (GPAA) have been major hotspots for such violence.

On 10 September 2020, IOM’s Displacement Tracking Matrix (DTM) conducted Emergency Event Tracking to capture information about localized conflict induced displacement in Tonj North County of Warrap State.

On 16 September 2020, IOM’s Displacement Tracking Matrix (DTM) conducted Emergency Event Tracking to capture information about flood induced displacement in Tonj East County of Warrap State.

Persistent rainfall in Uror County of Jonglei State throughout July and August 2020 led to the flooding of the Fulus / Shwal River causing temporary displacement and disruption in service provision to more than 32,197 individuals (5,840 households).

On 20 and 21 August 2020, clashes between NAS and SSPSF forces in Juba and Lainya Counties led to the displacement of people living in the surrounding areas.

Severe flooding caused by heavy rainfall in Unity State caused temporary displacement and disruption in service provision to more than 4,702 individuals (608 households).

Renk County of Upper Nile State recorded heavy and persistent rainfall throughout late July and early August 2020.In addition to the rain, the co

In July 2020, the monthly population count was conducted at Masna collective centre where 5,496 individuals were identified and Wau PoC AA with 9,393 individuals. The population of Wau PoC AA marginally decreased from 9,990 individuals in June 2020 (decreased by 597 individuals).

As of 7 August 2020, the cumulative total of confirmed COVID-19 cases in South Sudan stands at 2,472 with 47 deaths and 1,252 recoveries according to the Republic of South Sudan’s Ministry of Health.

As of 7 August 2020, the cumulative total of confirmed COVID-19 cases in South Sudan stands at 2,472 with 47 deaths and 1,252 recoveries according to the Republic of South Sudan’s Ministry of Health.

As of 26 July 2020, the Public Health Laboratory and the UN Clinic have tested 13,423 samples.

Seasonal Floods Analysis in Unity State for 5, 11 and 12 August 2020

Seasonal Floods Analysis in Jonglei State for12, 14 and 19 August 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. 

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). 

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