South Sudan
South Sudan
Desplazados internos rastreados
Movimientos de desplazamiento
Ronda de recopilación de datos
Sobre South Sudan
Conflict and instability in South Sudan have resulted in large-scale internal and cross-border displacement since the December 2013 crisis of over 4 million individuals. In September 2018, the Revitalized Agreement for the Resolution of the Conflict in South Sudan (R-ARCSS) was signed between the major warring parties. Whilst overall there have been improvements in security since and returns are ongoing, fighting and communal clashes (frequently linked to cattle raiding) continue to trigger new displacements and the situation remains volatile.
DTM South Sudan’s toolbox is designed to meet critical information gaps during all phases of response, from preparedness, to intervention and transition/recovery. DTM South Sudan provides country-wide figures on the numbers, locations and priority needs of IDPs and returnees updated on a quarterly and ad-hoc basis. The programme undertakes biometric registration in selected parts of the country to support partners with reaching intended beneficiaries during distributions. Flow monitoring data is collected on a daily basis at displacement sites, key transit hubs and border crossing points to identify mobility dynamics of migrants including IPDs and returnees. Through ad hoc surveys, headcounts, infrastructure/service mapping exercises and other assessments, DTM provides additional information to support partners in planning their response.
Contacto
IOM South Sudan DTM Juba
ISSDTM@iom.int
Current Donors
- Switzerland
- Japan
- DFID
- ECHO
- OCHA
- OFDA
- Canada (DFATD)
- WFP
- UN Peacebuilding Fund
- World Bank
Para obtener resultados de búsqueda más avanzados, vaya a la Página de búsqueda avanzada de informes
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.
DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.
On 8 July 2020, IOM’s Displacement Tracking Matrix conducted Event Tracking through direct field visits, and observations to collect information on locations of displacement, assistance needed, and households affected by armed attacks suspected to have been waged by armed Murle youth groups.
As of 12 July 2020, the cumulative total of COVID-19 cases in South Sudan stands at 2,148 with 41 confirmed deaths and 1,135 recoveries while a total of 11,862 tests have been carried out. During the reporting period President Kiir rejected the idea of a renewed lockdown citing economic r
This report presents multi-sectoral profiles for all the 87 assessed IDP camps and camp-like settings in South Sudan, based on DTM’s Mobility Tracking Round 8 data (data collection February-March 2020). Please use the interactive table of contents to navigate the report.
In June 2020 the monthly population count was conducted at Masna collective centre where 6,016 individuals were identified and Wau PoC AA with 9 990 individuals. The population of Wau PoC AA marginally increased from 9 ,956 individuals in May 2020 (increase by 49 individuals).
IOM’s biometric registration system has been active since 2014 with 944 004 beneficiaries active in its database to date, out of which 56 per cent (529 095 individuals) are female and 59 per cent (558 863 individuals) are under 18 years old.
IOM’s biometric registration system has been active since 2014 with 943 283 beneficiaries active in its database to date, out of which 56 per cent (528,659 individuals) are female and 59 per cent (558,429 individuals) are under 18 years old.
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 June 2020 population count findings, Bentiu PoC site's population stands at 99,052 individuals (15,501 households) in 11,858 inhabited shelters (on average 8 individuals per shelter).
IOM’s Displacement Tracking Matrix conducted 4,583 interviews representing 12,009 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 May 2020.
The Government of South Sudan requested World Bank support for a project that improves local services, strengthens local governance, and increases social cohesion.
DTM’s Flow Monitoring Registry (FMR) surveys people on the move at key transit points within South Sudan (SSD) and at its borders.
By 28 June 2020, South Sudan recorded 1,989 cumulative COVID-19 confirmed cases, and 36 deaths. The overall number of tests conducted stands at 10,529. A number of efforts are underway to improve South Sudan’s ability to cope with the pandemic.
The report provides an overview of DTM activities throughout the first quarter of 2020.
DTM tracked 75 locations including 19 displacement sites and 56 transportation hubs within the country and along international borders to report on COVID-19 related measures such as temperature screening and the availability of handwashing stations.Of 19 displacement sites all were subjected to some
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.
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).
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.
Para obtener resultados de búsqueda más avanzados, vaya a la Página de búsqueda avanzada de conjuntos de datos
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.
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.
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.
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.
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.
DTM API
Making global IDPs data accessible and reliable
The Displacement Tracking Matrix application programming interface (API) accelerates secure sharing of IDPs’ data, simplifying access to data across users and partners to support action, insight and foresight.