OCHA South Sudan

South Sudan administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2020 NOTE: Ages disaggregated into only four cohorts. No COD-PS record for Abyei Region. See COD-PS caveat about data rounding. The geoservice layer and the pak_admbndl_admALL_ocha_itos_20230308 lines shapefile contains the following special 'admLevel' codes: 76 = Northern boundary of the disputed area known as the Ilemi Triangle between South Sudan and Kenya (not a boundary fo any administrative polygon) 77 = Remainder of the boundary between South Sudan and Sudan 78 = That part of the Abyei region bouhndary that borders Sudan 79 = That part of the Abyei region boundary that borders the rest of South Sudan (not included in the polygons layers) This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB requires improvements. Sourced from South Sudan Information Management Working Group (IMWG), National Bureau of Statistics (NBS), International Organization for Migration (IOM) and OCHA Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the South Sudan COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 10 feature(s). The normal administrative level 1 feature type is ""State"". Administrative level 2 contains 79 feature(s). The normal administrative level 2 feature type is ""County"". Administrative level 3 contains 512 feature(s). The normal administrative level 3 feature type is ""Payam"". Recommended cartographic projection: UTM zone 36 (mainly) but partly zone 35 This metadata was last updated on January 9, 2025.

South Sudan Inter-Sector Needs Assessment (ISNA) data includes demographic and cluster indicator data (provided by ICCG clusters). Data disaggregated by cluster indicator, by counties and by population groups (IDPs, IDP-returnees, host-communities). The ISNA processes follow the IASC guided multi-sector Need assessment approach. The ISNA process consists of qualitative and quantitative components. IOM led the quantitative data collection and REACH led the qualitative data collection (qualitative data not included in this dataset). Entire process ISNA process managed by the ISAN technical working group (TWG) consists of IOM, REACH and OCHA. OCHA provided the overall coordination and engagement with the ICCG as guided by the Humanitarian coordinator and the HCT.

The Who does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in South Sudan at admin 2 level.

South Sudan administrative level 0-2 2023 population estimates. SEE CAVEATS REFERENCE YEAR: 2023 Waiting for inputs REFERENCE YEAR: 2022 Dataset updated by OCHA 2020. This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020. These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.

Reported number of flood-affected people by county and state in South Sudan.

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Administrative boundaries (Level 1 - States), (Level 2 - Counties including disputed Abyei region) and Undetermined boundary lines. Digitised from Russian Topo maps 200k (1970). Also includes a list of Admin level 3 - Payams. Data source: South Sudan Inter Cluster Information Management Working Group (ICIWG), National Bureau of Statistics (NBS), and MapAction. PCodes and cleaned by MapAction, OCHA and ITOS.

The health facilities dataset outlines the types of health facilities present at the Payam level.

This dataset includes data on the proxy GAM at ADM2 for South Sudan.

South Sudan poverty rates 2016-2017.

The data coming from MapAction South Sudan Pilot Integrated Humanitarian Data Package. The data coming from a compilation of WFP and OSM datasets. The South Sudan pilot Integrated Humanitarian Data Package (IHDP) is a package of cleaned, checked and enriched data. For more information, please visit: https://maps.mapaction.org/dataset/south-sudan-pilot-integrated-humanitarian-data-package

South Sudan flood locations as per end of October 2019

The Inter-Sectoral Needs Assessment aims to understand demographics, multi-sectoral needs (including the level of severity) and barriers to assistance as well as displacement patterns one a more representative, household-level scale.

The Relief and Rehabilitation Commission (RRC), UNHCR and IOM dataset tracks the movement of people from Sudan to South Sudan. The data is collected daily through a number of points of entry along the border of Sudan to South Sudan. Since 16 April 2023, South Sudan has received thousands of new arrivals.

The dataset contains information on the number of humanitarian access incidents in South Sudan. Humanitarian access concerns humanitarian actors’ ability to reach people affected by the crisis, as well as affected people’s ability to access humanitarian assistance and services.

South Sudan settlement data at the subnational level (admin 3).

Name, coordinates and size of airstrips in South Sudan by the United Nations Humanitarian Air Service.

South Sudan Ministry of Health and WorldBank Health Facility Mapping, 2009

The shp database file includes the following fields: Name: Name of water feature where known Descrip: Alphanumeric description of Seasonality of the water feature Type: Alphanumeric Classification: • Fresh water marsh • Salt pan • Lake

South Sudan most major rivers.

Data from Water Information Management System (WIMS) developed by Ministry of Water Resources and Irrigation, South Sudan.

List of public schools & Enrolment data by class and gender (South Sudan Schools’ Attendance Monitoring System (SSSAMS)), developed as part of the Girls’ Education South Sudan (GESS) programme by Ministry of Education Science and Technology Project, for the Republic of South Sudan.

South Sudan Resilience Capacity Index. The dataset combines Food Security, Health, Education, Protection and other sectors to determine a level of vulnerability.

The dataset contains the number of access incidents, including number of attacks on humanitarian convoys and number of aid workers killed at the sub-national level.