OCHA Syria

Syrian Arab Republic administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 1960 NOTE: The current boundaries were established on an unknown date in the 1960s. This COD-AB was most recently reviewed for accuracy and necessary changes in April 2024. The COD-AB does not require any update. Sourced from United Nations Cartographic Section (UNCS) and partners 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. There is no suitable population statistics dataset (COD-PS) for linkage to this COD-AB.. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 14 feature(s). The normal administrative level 1 feature type is ""Governorate"". Administrative level 2 contains 62 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 272 feature(s). The normal administrative level 3 feature type is ""Sub-district"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 9, 2025.

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. The data collected from the clusters and organizations involved in the response is consolidated by OCHA Damascus.

This dataset contains Syrian Arab Republic Airports provided by the logistics cluster.

Lakes and Rivers Open Street Map data clipped Dec 2012

Syrian Arab Republic populated places

This dataset contains information on the total population in the Syrian Arab Republic, disaggregated by sex and age, as well as administrate levels 1 through 4.

This dataset provides the populated places in the Syrian Arab Republic.

Access severity levels in Syria by admin 3 as defined by humanitarian partners.

This dataset contains information on the GAM rate of children and pregnant lactating women (PLW) in Syria.

This dataset contains tabular data representing the severity classification of the Food Security & Agriculture (FSA) People in Need (PiN) by admin1 extracted from the Humanitarian Needs Overview (HNO) by year.

Eight Geojson spatial layer of Syria power line and generator and power plant and substation Two Geojson spatial layer of Syria Natural Water and waterway dam Four Geojson spatial layer of Syria highway /motorway / link /primary / trunk

Eight spatial layer of Syria power line and generator and power plant and substation. Two spatial layer of Syria Natural Water and waterway dam. Four spatial layer of Syria highway /motorway / link /primary / trunk.