Senegal GIS data
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Administrative level 3 boundaries for Senegal, with names and codes for the country, regions, departments, and arrondissements. Each feature represents one arrondissement, such as Almadies or Grand Dakar, and includes area and validity dates. Published by Orion Terrametrics.
Administrative boundary lines for Senegal, published by Orion Terrametrics. Each line feature represents a boundary segment with attributes for administrative level, validity dates, and version. The dataset covers Senegal and includes 385 features.
A single point feature representing the country boundary of Senegal, published by Orion Terrametrics. It includes attributes such as country name, ISO codes, area, and center coordinates. The dataset covers Senegal.
Railway and rail transport network of Senegal showing the extent and classification of rail infrastructure. Includes passenger and freight lines. Use this layer for rail transport planning, freight logistics analysis, infrastructure assessment, and multimodal transport mapping.
A raster of population for Senegal, published by Orion Terrametrics. Each cell value represents the population at that location.
Point locations of named places in Senegal, including administrative areas, valleys and other features. Each point records a name, coordinates, feature class and code, country, administrative unit, population and timezone. Published by Orion Terrametrics.
Administrative level 1 boundaries for Senegal, with names and codes for the country and regions. Each feature represents one region, such as Dakar or Diourbel, and includes area and validity dates. Published by Orion Terrametrics.
Locations of seaports, harbours and maritime infrastructure in Mauritania. Includes commercial ports, fishing harbours and ferry terminals. Use this layer for maritime transport planning, trade logistics analysis, coastal zone management, and shipping route mapping.
Highway, Main asphalted road, Secondary asphalted road and tracks
Road and transport network of Senegal showing the classification and extent of road infrastructure. Includes primary roads, secondary roads, tracks and footpaths where available. Use this layer for route planning, accessibility analysis, transport modelling, and logistics planning.
Locations of seaports, harbours and maritime infrastructure in Senegal. Includes commercial ports, fishing harbours and ferry terminals. Use this layer for maritime transport planning, trade logistics analysis, coastal zone management, and shipping route mapping.
Point locations of health facilities in Senegal including hospitals, health centres, clinics, dispensaries and health posts. Each feature records the facility name, type and ownership. Use this layer to map healthcare coverage, identify service gaps, plan facility distribution, and support health sector analysis.
Spatial distribution of estimated births across Senegal at 1km resolution. Each grid cell shows the estimated number of live births. Use this layer for maternal health planning, antenatal care facility siting, health resource allocation, and reproductive health programme design.
Point locations of educational facilities across Senegal, including primary schools, secondary schools and other learning institutions. Each feature records the facility name, type and administrative location. Use this layer to map education access, identify underserved areas, plan school placement, and analyse catchment areas and travel distances to schools.
Gridded population density of Senegal for the year 2020 at 1km resolution, adjusted to match UN national population estimates. Each grid cell shows the estimated number of people per square kilometre. Use this layer for settlement pattern analysis, infrastructure planning, service delivery optimisation, and identifying high and low density areas.
Retirement Notice: This item is in mature support as of October 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Senegal Region Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. These were published in October 2023. Other administrative boundaries for this country are also available: Country
Administrative level 2 boundaries for Senegal, with names and codes for the country, regions, and departments. Each feature represents one department, such as Dakar or Guédiawaye, and includes area and validity dates. Published by Orion Terrametrics.
Point locations of named places in Senegal, including wadis, administrative divisions and other features. Each row is one place with its name, coordinates, feature class and code, administrative units, population, elevation and timezone. Published by Orion Terrametrics.
Point locations of airports, airstrips and airfields in Senegal. Each feature includes the facility name, type, elevation and runway information where available. Use this layer for aviation planning, accessibility analysis, emergency response logistics, and transport network mapping.
Spatial distribution of estimated pregnancies across Senegal at 1km resolution. Each grid cell shows the estimated number of pregnancies including live births, stillbirths and abortions. Use this layer for maternal health planning, antenatal care programme design, health facility placement, and reproductive health analysis.
Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
This data is about all national and International airports, aerodrome
The dataset represents public universities and some main schools in western Senegal.
Settlements COD datasets for SEN endorsedby Dakar IMWG on August 2017; see metadata for description of cleaning and processing performed by ITOS. Capitals (national, regional, departemental) The dataset represents the regions capitals of Senegal. This is a zipped file for administrative region capitals. Scale: 1/1,000,000 Last update August 2017
Senegal administrative level 0 edge-matched gazetteer, shapefiles, and geodatabase. COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats. These layers are suitable for database or GIS linkage to the Senegal- Subnational Population Statistics tables. Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.
The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
Disaster loss and damage dataset for Senegal
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.
**UNOSAT code: FL20241022SEN** This application provides geospatial information regarding the floods in Senegal Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.
**UNOSAT code: FL20241022SEN** This map illustrates floodwater depth in in Saint-Louis and Matam Regions, Senegal observed from VIIRS flood depth data as of 23 October 2024. Important note: This map is prepared with a 30-m VIIRS satellite-derived Floodwater Depth product. It has been downscaled with software that uses VIIRS daily composite flood products at 375-m resolution as a basis. Products are under development and processed in near real-time at the Cooperative Institute for Meteorological Satellite Studies (CIMSS). This is a preliminary analysis intended to be used for guidance purposes and has yet to be validated with ground truth data. Please send field observations to United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20241022SEN** Cette carte illustre l'étendue des eaux d'inondations détectées par satellite en utilisant une image optique Sentinel-2 acquise le 20 octobre 2024 dans les départements de Matam et Kanel, Région de Matam. Dans la zone analysée d'environ 2,700 km², un total d'environ 500 km² de terres semblent être inondées. D'après les données démographique de Worldpop et les eaux d'inondations détectées par imagerie satellite, environ 45,000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées. D'après les prévisions de débit du 24 octobre 2024 provenant de l'ECMWF à la station hydrométrique Senegal A Matam le long du fleuve Sénégal, le débit moyen actuel a tendance à diminuer au cours des 10 prochains jours. Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
**UNOSAT code: FL20241022SEN** Cette carte illustre l'étendue des eaux d'inondations détectées par satellite en utilisant une image optique Sentinel-2 acquise le 25 octobre 2024 dans les départements de Matam et Kanel, Région de Matam. Dans la zone analysée d'environ 2,700 km², un total d'environ 570 km² de terres semblent être inondées. Les eaux d'inondations semblent avoiur augmenté d'environ 70 km² depuis la dernière analyse du 20 octobre 2024. D'après les données démographique de Worldpop et les eaux d'inondations détectées par imagerie satellite, environ 50,000 personnes sont potentiellement exposées ou vivent à proximité de zones inondées. Prière de bien vouloir noter que ceci est une analyse préliminaire qui n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Senegal. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming driving speeds of local public transport options on all-weather roads/asphalt roads and walking speeds on all other roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all
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