100+ datasets found
  1. a

    Chinese Projects in Africa

    • aiddata.org
    Updated Apr 15, 2013
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    (2013). Chinese Projects in Africa [Dataset]. https://www.aiddata.org/data/aiddatas-chinese-official-finance-to-africa-dataset-2000-2012-version-1-1
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    Dataset updated
    Apr 15, 2013
    Area covered
    China
    Description

    The 1.1 version of AidData's Chinese Official Finance to Africa dataset tracks 1,955 development finance activities in Africa from 2000 to 2012. The data includes both Chinese aid and non-concessional official financing.

  2. Reddit users in Africa 2020-2028

    • statista.com
    Updated Jan 10, 2024
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    Statista Research Department (2024). Reddit users in Africa 2020-2028 [Dataset]. https://www.statista.com/topics/9922/social-media-in-africa/
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Africa
    Description

    The number of Reddit users in Africa was forecast to continuously increase between 2024 and 2028 by in total 4.7 million users (+66.67 percent). After the eighth consecutive increasing year, the Reddit user base is estimated to reach 11.78 million users and therefore a new peak in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like North America and Asia.

  3. o

    Africa RISING - Data Management Plan - Dataset - openAFRICA

    • open.africa
    Updated Aug 17, 2019
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    (2019). Africa RISING - Data Management Plan - Dataset - openAFRICA [Dataset]. https://open.africa/dataset/africarising-data-management-plan
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    Dataset updated
    Aug 17, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data management plan is developed to provide guidance on data management practices and standards for research institutions and teams working on Africa RISING program. The document is organized as follows: Section 2 discusses open data access, Africa RISING Program data sources and types, metadata management, and data standardization. Section 3 discusses Program data management and access tools. Section 4 discusses internal and external diffusion of Program data. Section 5 discusses data storage and transmission.

  4. I

    Groundwater storage in Africa

    • ihp-wins.unesco.org
    • data.dev-wins.com
    • +2more
    json, tiff
    Updated Aug 24, 2024
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    Intergovernmental Hydrological Programme (2024). Groundwater storage in Africa [Dataset]. https://ihp-wins.unesco.org/dataset/groundwater-storage-in-africa
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    tiff, jsonAvailable download formats
    Dataset updated
    Aug 24, 2024
    Dataset provided by
    Intergovernmental Hydrological Programme
    Description

    This 5 km resolution grid presents groundwater storage in Africa (in mm). This parameter was estimated by combining the saturated aquifer thickness and effective porosity of aquifers across Africa. For each aquifer flow/storage type an effective porosity range was assigned based on a series of studies across Africa and surrogates in other parts of the world. Groundwater storage is given in millimeters. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdfThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html

  5. U

    Data from: West Africa Land Use Land Cover Time Series

    • data.usgs.gov
    • catalog.data.gov
    Updated Nov 9, 2016
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    William Cushing; G. Tappan; Stefanie Herrmann; Suzanne Cotillon (2016). West Africa Land Use Land Cover Time Series [Dataset]. http://doi.org/10.5066/F73N21JF
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    Dataset updated
    Nov 9, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    William Cushing; G. Tappan; Stefanie Herrmann; Suzanne Cotillon
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1975 - 2013
    Area covered
    Africa, West Africa
    Description

    This series of three-period land use land cover (LULC) datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation using Esri’s ArcGIS Desktop ArcMap software. Citation: Trochain, J.-L., 1957, Accord interafricain sur la définition des types de végétation de l’Afrique tropicale: Institut d’études centrafricaines.

  6. T

    PRECIPITATION by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 17, 2017
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    TRADING ECONOMICS (2017). PRECIPITATION by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/precipitation?continent=africa
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 17, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Africa
    Description

    This dataset provides values for PRECIPITATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  7. s

    Africa Soil Profiles Database, version 1.2

    • repository.soilwise-he.eu
    • data.moa.gov.et
    • +4more
    Updated Jul 14, 2021
    + more versions
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    (2021). Africa Soil Profiles Database, version 1.2 [Dataset]. https://repository.soilwise-he.eu/cat/collections/metadata:main/items/b88870b4-6af8-4e78-a3ac-38871d757525
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    Dataset updated
    Jul 14, 2021
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    Africa
    Description

    The Africa Soil Profiles Database, Version 1.2, is compiled by ISRIC - World Soil Information (World Data Center for Soils) as a project activity for the Globally integrated- Africa Soil Information Service (AfSIS) project (www.africasoils.net/data/legacyprofile). It replaces version 1.1.

    The Africa Soil Profiles Database is a compilation of georeferenced and standardised legacy soil profile data for Sub-Saharan Africa. Version 1.2 (November 2014) identifies 18,532 unique soil profiles inventoried from a wide variety of data sources and includes profile site and layer attribute data. Soil analytical data are available for 15,564 profiles of which 14,197 are georeferenced, including the attributes as specified by GlobalSoilMap.net. Soil attribute values are standardized according to SOTER conventions and are validated according to routine rules. Odd values are flagged. The degree of validation, and associated reliability of the data, varies because reference soil profile data, that are previously and thoroughly validated, are compiled together with non-reference soil profile data of lesser inherent representativeness.

  8. Pinterest users in Africa 2019-2028

    • statista.com
    Updated Jan 10, 2024
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    Statista Research Department (2024). Pinterest users in Africa 2019-2028 [Dataset]. https://www.statista.com/topics/9922/social-media-in-africa/
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Africa
    Description

    The number of Pinterest users in Africa was forecast to continuously increase between 2024 and 2028 by in total 15 million users (+68.81 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 36.81 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Pinterest users in countries like Europe and Australia & Oceania.

  9. d

    Mobility Data | AFRICA | GPS Data | Foot Traffic Data | Reliable, Compliant,...

    • datarade.ai
    .csv
    Updated May 31, 2022
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    Veraset (2022). Mobility Data | AFRICA | GPS Data | Foot Traffic Data | Reliable, Compliant, Precise Mobile Location Data [Dataset]. https://datarade.ai/data-products/veraset-movement-africa-gps-mobility-data-reliable-c-veraset
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    .csvAvailable download formats
    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Veraset
    Area covered
    Africa
    Description

    Leverage the most reliable and compliant mobile device location/foot traffic dataset on the market!

    Veraset Movement (GPS Mobility Data) offers unparalleled insights into footfall traffic patterns across nearly four dozen countries in Africa.

    Covering 46+ countries, Veraset's Mobility Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement.

    Ideal for ad tech, planning, retail, and transportation logistics, Veraset's Movement data (Mobility data) helps shape strategy and make impactful data-driven decisions.

    Veraset’s Africa Movement Panel includes the following countries: - algeria-DZ - angola-AO - benin-BJ - botswana-BW - burkina faso-BF - burundi-BI - cameroon-CM - central african republic-CF - chad-TD - comoros-KM - congo-brazzaville-CG - congo-kinshasa-CD - djibouti-DJ - egypt-EG - eritrea-ER - ethiopia-ET - gabon-GA - gambia-GM - ghana-GH - guinea-bissau-GW - kenya-KE - lesotho-LS - liberia-LR - libya-LY - madagascar-MG - malawi-MW - mali-ML - mauritius-MU - morocco-MA - mozambique-MZ - namibia-NA - nigeria-NG - rwanda-RW - senegal-SN - seychelles-SC - sierra leone-SL - somalia-SO - south africa-ZA - south sudan-SS - tanzania-TZ - togo-TG - tunisia-TN - uganda-UG - zambia-ZM - zimbabwe-ZW

    Companies use Veraset's Mobility Data for: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

  10. T

    GROSS NATIONAL PRODUCT by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). GROSS NATIONAL PRODUCT by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/gross-national-product?continent=africa
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Africa
    Description

    This dataset provides values for GROSS NATIONAL PRODUCT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  11. Africa Surficial Lithology

    • rwanda-africa.hub.arcgis.com
    • morocco.africageoportal.com
    • +5more
    Updated May 22, 2014
    + more versions
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    Esri (2014). Africa Surficial Lithology [Dataset]. https://rwanda-africa.hub.arcgis.com/datasets/34ca8e39933e4725b9a68f538abaa565
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    Dataset updated
    May 22, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Created as part of the USGS’s Africa Ecosystems Mapping project, the Africa Surficial Lithology layer maps the geology of Africa into 20 classes based bedrock type and the distribution of unconsolidated surface material. The data available through this layer map the key geological features that affect the distribution of plants and ecosystems in Africa.This layer provides access to a 100m cell sized raster compiled from multiple sources. The data covers Africa, Madagascar, and other Islands near Africa. It was published by the U.S. Geological Survey and The Nature Conservancy in 2009. Link to source metadata Dataset SummaryAnalysis: Restricted single source analysis. Maximum size of analysis is 24,000 x 24,000 pixels. What can you do with this layer?This layer has query, identify, and export image services available. The layer is restricted to a 24,000 x 24,000 pixel limit for these services, which represents an area roughly 2,400 kilometers on a side. The source data are available here. Restricted single source analysis means this layer has size constraints for analysis and it is not recommended for use with other layers in multisource analysis. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks

  12. Mali Africa RISING: Integrated Intensification Options for Livestock Feeding...

    • data.iita.org
    Updated Jan 1, 2015
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    data.iita.org (2015). Mali Africa RISING: Integrated Intensification Options for Livestock Feeding - Datasets - IITA [Dataset]. https://data.iita.org/dataset/africarising-3039395
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    Dataset updated
    Jan 1, 2015
    Dataset provided by
    International Institute of Tropical Agriculturehttp://www.iita.org/
    Area covered
    Mali
    Description

    This data study contains data on the sheep feeding trials conducted in Yorobougoula, Sibirila, and Dieba in Mali. About the project Project title: Mali Africa RISING: Integrated Intensification Options for Livestock Feeding Project abstract Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government’s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. Project website: http://africa-rising.net Project start date: 01/01/2012 Project end date : 01/01/2014 Citation APA Harvard MLA Vancouver Chicago IEEE CSE AMA NLM Turabian

  13. T

    TOURIST ARRIVALS by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). TOURIST ARRIVALS by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/tourist-arrivals?continent=africa
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Africa
    Description

    This dataset provides values for TOURIST ARRIVALS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  14. d

    Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa [Dataset]. https://catalog.data.gov/dataset/digital-elevation-model-dem-from-the-hydrologic-derivatives-for-modeling-and-analysis-hdma
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.

  15. h

    IWI-Africa-Multimodal

    • huggingface.co
    Updated Aug 7, 2025
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    AI & Global Development Lab (2025). IWI-Africa-Multimodal [Dataset]. https://huggingface.co/datasets/theaidevlab/IWI-Africa-Multimodal
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    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    AI & Global Development Lab
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    NOTICE: By requesting access to this dataset, you are affirming and certifying that you have obtained the necessary approval from The Demographic and Health Surveys (DHS) Program to access and use the underlying DHS microdata upon which this dataset is based. Such approval requires registration as a user on The DHS Program's official website, submission of a detailed research project description for review, and explicit agreement to the program's data access and usage terms. These terms… See the full description on the dataset page: https://huggingface.co/datasets/theaidevlab/IWI-Africa-Multimodal.

  16. T

    GDP FROM TRANSPORT by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). GDP FROM TRANSPORT by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/gdp-from-transport?continent=africa
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Africa
    Description

    This dataset provides values for GDP FROM TRANSPORT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  17. e

    Sub-Saharan Africa - Power Plants Locations - Dataset - ENERGYDATA.INFO

    • energydata.info
    Updated Apr 16, 2020
    + more versions
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    (2020). Sub-Saharan Africa - Power Plants Locations - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/sub-saharan-africa-power-plants-locations-2007
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    Dataset updated
    Apr 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Africa, Sub-Saharan Africa
    Description

    The Africa Infrastructure Country Diagnostic (AICD) was an unprecedented knowledge program on Africa’s infrastructure that grew out of the pledge by the G8 Summit of 2005 at Gleneagles to substantially increase ODA assistance to Africa, particularly to the infrastructure sector, and the subsequent formation of the Infrastructure Consortium for Africa (ICA). The AICD study was founded on the recognition that sub-Saharan Africa (SSA) suffers from a very weak infrastructural base, and that this is a key factor in the SSA region failing to realize its full potential for economic growth, international trade, and poverty reduction. The study broke new ground, with primary data collection efforts covering network service infrastructures (ICT, power, water & sanitation, road transport, rail transport, sea transport, and air transport) from 2001 to 2006 in 24 selected African countries AICD has been implemented by the World Bank on behalf of a steering committee representing the African Union, the New Partnership for Africa’s Development (NEPAD), Africa’s regional economic communities, the African Development Bank, and major infrastructure donors.

  18. Africa Satellite-based Earth Observation Market Size & Share Analysis -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Mar 3, 2025
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    Mordor Intelligence (2025). Africa Satellite-based Earth Observation Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/africa-satellite-based-earth-observation-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Africa
    Description

    The Africa Satellite-Based Earth Observation Market report segments the industry into By Type (Earth Observation Data, Value Added Services), By Satellite Orbit (Low Earth Orbit, Medium Earth Orbit, Geostationary Orbit), By End-User (Urban Development and Cultural Heritage, Agriculture, Climate Services, Energy and Raw Materials, Infrastructure, Others), and By Country (South Africa, Nigeria, Kenya, Others).

  19. G

    Forest area, sq.km in Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 28, 2019
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    Globalen LLC (2019). Forest area, sq.km in Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/forest_area_sq_km/Africa/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 28, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1990 - Dec 31, 2022
    Area covered
    World, Africa
    Description

    The average for 2021 based on 53 countries was 117869 sq. km. The highest value was in Democratic Republic of the Congo: 1250538.6 sq. km and the lowest value was in Djibouti: 58.7 sq. km. The indicator is available from 1990 to 2022. Below is a chart for all countries where data are available.

  20. o

    Africa from

    • opencontext.org
    Updated Nov 26, 2021
    + more versions
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    Open Context (2021). Africa from [Dataset]. https://opencontext.org/subjects/2334627d-5db7-4ff8-b61c-49f51aaaf9f8
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    Dataset updated
    Nov 26, 2021
    Dataset authored and provided by
    Open Context
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Africa
    Description

    An Open Context "subjects" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Region" record is part of the "Open Context" data publication.

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(2013). Chinese Projects in Africa [Dataset]. https://www.aiddata.org/data/aiddatas-chinese-official-finance-to-africa-dataset-2000-2012-version-1-1

Chinese Projects in Africa

Explore at:
138 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 15, 2013
Area covered
China
Description

The 1.1 version of AidData's Chinese Official Finance to Africa dataset tracks 1,955 development finance activities in Africa from 2000 to 2012. The data includes both Chinese aid and non-concessional official financing.

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