South Sudan

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Displaced population tracked by DTM in South Sudan
Latest IDP estimates from IDMC
1,352,000
In South Sudan, IDMC GRID Dec 2019
Total population in South Sudan
As of 2018 World Bank
Region
East Africa and the Horn of Africa

    Legend

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

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.

In February 2021, the monthly population count was conducted at Masna Collective Centre where 3,823 individuals/ 866 households were identified and Naivasha IDP Camp where 8,642 individuals/430 households were counted.

During the second half of 2020, the International Organization for Migration’s Displacement Tracking Matrix (IOM DTM) and the World Food Programme’s Vulnerability Analysis and Mapping (WFP VAM) units undertook a joint household-level assessment of selected urban areas and camps for internally dis

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

IOM’s Displacement Tracking Matrix continued operating Displacement Site Flow Monitoring (DSFM) at the gates of Bentiu Protection of Civilians (PoC) site.

IOM’s Displacement Tracking Matrix (DTM) continued operating Displacement Site Flow Monitoring (DSFM) at the gates of Malakal Protection of Civilians (PoC) site. During this period, 3,270 interviews were conducted representing 4,964 individual movements in to and out of the site.

IOM’s Displacement Tracking Matrix (DTM) continued operating Displacement Site Flow Monitoring (DSFM) at the gates of Wau Masna Collective Centre. In the last quarter of 2020 (October - December), 1,804 interviews were conducted, representing 4,465 individual movements.

IOM’s Displacement Tracking Matrix (DTM) continued operating Displacement Site Flow Monitoring (DSFM) at the gates of Naivasha IDP camp. During this period, 2,111 interviews representing 8,296 individual movements in to and out of the camp were conducted.

This joint dashboard on health care access for internally displaced persons (IDPs) and returnees in South Sudan is the result of an ongoing collaboration between IOM’s Displacement Tracking Matrix (DTM) and WHO's Health Service Functionality (HSF) teams.

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

The International Organization for Migration’s Displacement Tracking Matrix (IOM DTM), Protection and Mental Health and Psycho-Social Support teams joined efforts with Humanity & Inclusion (HI) to undertake an assessment of the level of access to services and the barriers faced by persons wit

Building on its global expertise in emergency data collection systems, including in response to previous infectious disease outbreaks, IOM’s Displacement Tracking Matrix (DTM) has been monitoring the impact of COVID-19 travel restrictions on human mobility on a global scale.

Severe flooding across South Sudan has caused temporary displacement and disruption in service provision to more than 1 million individuals in 2020 (OCHA).

This summary presents initial findings from the ninth round of Mobility Tracking conducted across South Sudan through key-informant based assessment at payam and location level between July and September 2020.

IOM's Displacement Tracking Matrix conducts a country-wide Mobility Tracking exercise in regular intervals to update a comprehensive IDP and returnee baseline.

At the onset of the 2020 dry season, the consequences of flooding in various areas of South Sudan continue to be deeply felt. Many people are still displaced after moving from lowland to highland areas.

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.

In December 2020, the monthly population count was conducted at Masna collective centre where 3,737 individuals/775 households were identified and Naivasha IDP Camp with 8,939 individuals/2,651 households.

In October 2020, the monthly population count was conducted at Masna collective centre where 4,012 individuals/849 households were identified and Naivasha IDP Camp with 9,110 individuals/2,694 households.

This map shows a picture of return and relocation flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 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 shows a picture of long / medium term migration flows tracked by DTM's Flow Monitoring Registry in South Sudan and between South Sudan and neighbouring countries, based on interviews carried out at 34 Flow Monitoring Points between October and December 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 shows a picture of 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 34 Flow Monitoring Points between October and December 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.

Seasonal Flood Analysis for Koch County in Unity State as of 28 and 29 December 2020.

Seasonal Flood Analysis for Panyijar County in Unity State as of 29 September 2020.

Seasonal Flood Analysis for Ayod County in Jonglei State as of 29 September 2020.

Seasonal Flood Analysis for Twic East County in Jonglei State as of 28 December 2020.

Seasonal Flood Analysis for Tonj East County in Warrap State as of 29 October 2020.

Seasonal Flood Analysis for Twic East County in Jonglei State as of 29 October 2020.

Seasonal Flood Analysis for Terekeka County in Central Equatoria State as of 29 October 2020.

This document contains country-level overview of location types assessed during Mobility Tracking Round 9 conducted between July and September 2020.

This document contains payam/sub-area level overview of assessed locations with confirmed presence of IDPs and returnees (Mobility Tracking Round 9, September 2020). 

This document contains state-level maps with indicated location types (IDP, returnee) as per Mobility Tracking Round 9 assessment (September 2020).

This map displays assessed locations with confirmed presence of IDPs and Returnees (Mobility Tracking Round 9, September 2020).

This map displays the number of returnees by county as of September 2020, Round 9 of Mobility Tracking. 

This map displays the number of IDPs by county as of September 2020, Round 9 of Mobility Tracking. 

Seasonal Flood Analysis for Duk County in Jonglei State as of 29 September 2020. 

Seasonal Flood Analysis for Bor South County in Jonglei State and Awerial County in Lakes State as of 29 September 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. This indicative map of population inflows aims to inform public health measures to reduce the risk of COVID-19 transmission and enable safe mobility. The map shows the total number of incoming individual movements recorded across all flow monitoring points.Data reflects the situation as of 31 July. 

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. This indicative map of population inflows aims to inform public health measures to reduce the risk of COVID-19 transmission and enable safe mobility. The map shows the total number of incoming individual movements recorded across all flow monitoring points.Data reflects the situation as of 30 June. 

IOM DTM has ben collaborating with South Sudan's National Bureau of Statistics to develop updated enumeration areas for Juba Town and map shelter density using remote sensing data. The aim of this work is to inform the COVID-19 response and enable the roll-out of representative household surveys in collaboration with humanitarian and development partners.

Seasonal Floods Analysis for Twic East and Duk, Jonglei State, with imagery as of 11 September 2020.

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.

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.

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DTM South Sudan

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