The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data The data collected in 2024 has now been endorsed for use.

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.