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

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 HIV Estimates Dataset for Ethiopia (2024) provides a comprehensive analysis of the HIV epidemic at the zonal level, offering critical insights into trends, intervention impacts, and projections. This dataset is a vital resource for policymakers, researchers, and public health professionals seeking to understand and address the HIV/AIDS situation in Ethiopia. Developed through rigorous validation and consultation with key stakeholders—including the Ethiopian Ministry of Health, UNAIDS, USAID, WHO, and the CDC—this dataset serves as a crucial tool in the ongoing fight against HIV/AIDS in Ethiopia. It facilitates targeted interventions, policy formulation, and progress tracking toward epidemic control.

The dataset available at IGME provides national estimates of neonatal mortality rates in Ethiopia. These estimates are part of the United Nations Inter-agency Group for Child Mortality Estimation's (UN IGME) efforts to assess child mortality trends at more localized levels, offering insights into regional disparities and progress.​

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.

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

Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science. This large-scale open dataset contains the outlines of buildings derived from high-resolution satellite imagery in order to support these types of uses. For each building in this dataset we include the polygon describing its footprint on the ground, a confidence score indicating how sure we are that this is a building, and a Plus Code corresponding to the centre of the building. There is no information about the type of building, its street address, or any details other than its geometry. More information at Google Open Buildings

Información de tablas de hogares y viviendas del Censo Nacional de Población y Vivienda - CNPV en Colombia- 2018

La base de datos contiene información sobre los procesos abiertos por el ICBF en 2023 para niños, niñas y adolescentes en Colombia, relacionados con diversas situaciones de vulneración de derechos. Incluye variables como conductas sexuales entre menores, violencia sexual, física y psicológica, abandono, desnutrición, omisión o negligencia, violencia intrafamiliar, trata de personas, trabajo infantil y otros motivos. También registra datos demográficos como centro zonal, región, grupo étnico, nacionalidad, rango de edad, sexo, zona geográfica y la cantidad de procesos iniciados, permitiendo analizar la situación de esta población vulnerable y las acciones de protección emprendidas.

La Gran Encuesta Integrada de Hogares (GEIH) 2023 es una de las fuentes de datos más completas y relevantes para el análisis socioeconómico en Colombia. Esta base de datos, desarrollada por el Departamento Administrativo Nacional de Estadística (DANE), ofrece una visión detallada y actualizada sobre las dinámicas del mercado laboral y los ingresos de los hogares en el país. Con una cobertura anual que incluye aproximadamente 315,000 hogares a nivel nacional, la GEIH permite realizar análisis profundos y diversos que pueden informar tanto políticas públicas como investigaciones en áreas clave como la pobreza, el empleo, y la distribución de ingresos. Los datos recolectados permiten caracterizar a la población según sexo, edad, nivel educativo, afiliación al sistema de seguridad social, y otros indicadores demográficos y socioeconómicos. Además, se abordan temas cruciales como las condiciones de empleo, desempleo, y la población fuera de la fuerza de trabajo. Esta base de datos es esencial no solo para análisis humanitarios, como la identificación de poblaciones vulnerables y la evaluación de la pobreza monetaria, sino también para estudios más amplios que buscan entender las tendencias económicas y sociales en Colombia.