Somalia population data

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Somalia Sub-national level dependency ratios: Africa 2010  Gridded, spatial datasets for Africa providing version 1.0 estimates for dependency ratios at sub-national level. Ratios are based on sub-national estimates for 5-year age group proportions. The series is comprised of 3 raster datasets: 1) The ratio of dependents (both young, 0 to 14, and old, 65 ) upon the working age population; 2) The ratio of young dependents upon the working age population; 3) The ratio of older dependents upon the working age population.   REGION: Africa   DATA RESOLUTION: Sub-national administrative areas   SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)   PROJECTION: Geographic, WGS84   UNITS: Sub-national dependency ratios   FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)   DATASET CONSTRUCTION DETAILS: This dataset is derived from the WorldPop Whole Continent Age Structures data series, described here:   http://www.worldpop.org.uk/data/data_sources/. The Population count raster datasets for the relevant age groups were combined using spatial analytical tools in a GIS system, in order to derive the dependency ratios. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/   DATE OF PRODUCTION: Dec 2016

Population density (in agriculture: standing stock or plant density) is a measurement of population per unit land area.

A 1-kilometre raster of population for Somalia for 2020, where each cell value represents the number of people. Published by Orion Terrametrics.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay region in Somalia. Using a Worlview-2 satellite image collected on 21 April 2017, UNOSAT analyzed the town of Baidoa and its outskirts areas and identified 272 locations where displaced person shelters are visible. A total of approximately 33,467 shelter structures are estimated to be within the ~149 hectares of settlement area. This represent an increase of 143% in shelter structures compared with the last UNOSAT analysis performed using imagery collected on 22 January 2017, where a total of 13,766 shelters, inside 144 locations, within 96 hectares of settlement area were detected. Note that also 1,288 additional shelters were detected in the previous analysis but were not detected in the current one as they are obscured by clouds in the image from 21 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Summary: The settlement data was derived from both the UNDP 1998 and UNDP 2005 datasets along with that of GTZ 2002, FSNAU, KEMRI and OCHA.. This data was cleaned by FAO-SWALIM and OCHA and was updated in 2022. Abstract: Point data of over 10,000 settlements within Somalia, not including IDP settlements. This dataset was compiled by various sources, GTZ, FSNAU, OCHA, Kemri and UNDP and is maintained and updated by OCHA Somalia.

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