3iSolution

This dataset provides information about hydroelectric dams in Ethiopia, focusing on their installed generation capacity (in megawatts - MW) and their geographical location (latitude and longitude). Source: Ethiopian Electricity Power - EEP

The Ethiopia Market Center dataset provides comprehensive information on market centers across Ethiopia. It includes spatial data that outlines the locations and attributes of these centers, facilitating analyses related to trade, commerce, and economic planning. Detailed information in Ethiopia Market Center

This shapefile provides information about the extent and availability of aerial photograph coverage across Ethiopia. This dataset is valuable for professionals and researchers involved in cartography, land use planning, environmental monitoring, and infrastructure development, as it helps identify areas with existing aerial imagery and potential gaps where additional coverage may be needed.​ For more detailed information: Ethiopia Arial Photo Coverage

The dataset titled "Addis Ababa City Administration Woreda Boundary" provides detailed geographic information on the administrative divisions within Addis Ababa, Ethiopia. It includes shapefiles delineating the boundaries of both subcities and woredas (districts) within the city. Each feature in the dataset is attributed with identifiers and names corresponding to specific subcities and woredas, facilitating spatial analysis and mapping of Addis Ababa's administrative structure.​ This dataset is particularly useful for urban planning, resource allocation, and various analyses requiring precise administrative boundary data within Addis Ababa. Original source: Addis Ababa City Administration Woreda Boundary

The dataset available at the Ethiopian Health Data Analytics and Visualization Hub provides information on under-five mortality rates across various regions (Adm 1) in Ethiopia from 1990 to 2020.

This dataset represents populated places in Ethiopia at the locality level, including villages, kebeles, towns, and other administrative divisions. Each entry is associated with XY coordinates and is integrated with Ethiopian administrative boundaries. The data originates from the National Geospatial-Intelligence Agency (NGA) and is accessible through their GeoNames platform(https://geonames.nga.mil/geonames/GNSData/).The dataset includes various types of populated areas such as: villages, kebeles and towns. This dataset is crucial for various applications, including urban planning to assist in the development of infrastructure and services based on population distribution, for research, and on disaster management to support humanitarian efforts by identifying populated areas during crises.

This dataset includes the spatial locations of health facilities across Ethiopia, along with their associated attribute information.

HydroBASINS represents a series of vectorized polygon layers that depict sub-basin boundaries at a global scale. The goal of this product is to provide a seamless global coverage of consistently sized and hierarchically nested sub-basins at different scales (from tens to millions of square kilometers), supported by a coding scheme that allows for analysis of catchment topology such as up- and downstream connectivity. HydroBASINS has been extracted from the gridded HydroSHEDS core layers at 15 arc-second resolution. More info: HydroBASINS

This dataset represents the Level 5 delineation of the Tekeze River Basin in Ethiopia, as defined by the HydroBASINS framework. The Level 5 (L5) subdivision provides a mid-scale segmentation of the Tekeze Basin, capturing key hydrological structures while maintaining computational efficiency. More information at Hydrosheds - Hydrobasins

This dataset represents the Level 5 delineation of the Shabelle River Basin in Ethiopia, as defined by the HydroBASINS framework. The Level 5 (L5) subdivision provides a mid-scale segmentation of the Shabelle Basin, capturing key hydrological structures while maintaining computational efficiency. More information at Hydrosheds - Hydrobasins

The dataset "Ethiopia - Rivers" represents the river lines of Ethiopia, sourced from DIVA-GIS. It provides vector data indicating the locations of rivers across the country. The dataset falls under the Inland Waters category, which includes features related to drainage systems, water utilization plans, and hydrological characteristics. The data is available for public access. The dataset was published on August 14, 2017, and it can be downloaded or viewed through the ICPAC Geoportal.

This dataset contains the population distribution of primary and secondary schools in Ethiopia, disaggregated by sex.

These datasets and maps show the number of IDP sites per woreda in the Somali region, using DTM Site Assessment Round 36 as a reference. These IDP sites include various settlement types: collective centers, dispersed settlements, host communities, planned camps, and spontaneous camps/sites. More detailed information can be found at the following link: https://dtm.iom.int/ethiopia#producttabs.

This dataset encompasses a collection of water points across Ethiopia, each annotated with administrative region tags (Admin 1, Admin 2, and Admin 3) to facilitate detailed geographic analysis. Sourced as secondary data from mWater, the dataset compiles information from multiple sources collected at various times. It provides insights into water accessibility, infrastructure types, and management across different regions. However, users are advised to exercise caution as the dataset may include water points that are no longer available or may omit new ones due to the nature of data collection. The degree of confidence in the accuracy and completeness of the data is moderate, reflecting the variability in source data and the dynamic nature of water point status. This resource is particularly useful for stakeholders in humanitarian response, development planning, and resource management, offering a broad overview but requiring validation for precision-critical applications.

[Initial analysis] The database contains information about buildings identified by Google outside of settlements recognized by GRID3. It serves as a proxy for identifying potential new settlements or areas of urban growth. The analysis incorporates two levels of clustering: one at a distance of 500 meters and another at 100 meters. The 500-meter clustering helps identify broader areas where multiple buildings are concentrated, potentially indicating the presence of a new settlement or an expansion of an existing one. This distance threshold allows for the initial identification of potential new settlement areas. The 100-meter clustering provides a more granular view, highlighting tighter clusters of buildings within the broader 500-meter areas. This finer level of clustering aids in distinguishing individual settlement units or neighborhoods within the larger potential settlement areas. By combining these two levels of clustering, the database facilitates a comprehensive analysis of potential new settlements or urban growth areas. It enables researchers, urban planners, and policymakers to identify and prioritize areas for further investigation, resource allocation, or development planning.

The GRID3 ETH - Settlement Extents v3.0 consists of a geographic representation of settlements in Ethiopia. Data inputs and methodology are described in data release notes available at GRID3 ETH - Settlement Extents v3.0 3iS has enhanced the settlement dataset by integrating administrative attributes from a shapefile at the Admin 3 level. This process involved associating settlements with the corresponding administrative divisions, including the following attributes: Admin 1 (Region) Names and P-codes: Identifying the broader regions where settlements are located. Admin 2 (Zone) Names and P-codes: Associating zones within regions to each settlement. Admin 3 (Woreda) Names and P-codes: Providing detailed locality-level information.