Data Datasets [5] | Archived Datasets[1] [?]
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  • Rwanda Health Facilities (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    400+ Downloads
    Time Period of the Dataset [?]: May 01, 2025-May 01, 2025 ... More
    Modified [?]: 1 May 2025
    Dataset Added on HDX [?]: 5 December 2019
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source name:fr name:rw name:sw This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Rwanda Healthsites
    Global Healthsites Mapping Project
    600+ Downloads
    Time Period of the Dataset [?]: August 12, 2011-April 08, 2025 ... More
    Modified [?]: 10 April 2025
    Dataset Added on HDX [?]: 16 May 2016
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    This dataset updates: Every three months
    This dataset is part of the data series [?]: Global Healthsites Mapping Project - Healthsites
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Rwanda Motorised Travel Time (in seconds) to nearest health centre
    Data for Children Collaborative
    Time Period of the Dataset [?]: August 01, 2024-August 01, 2024 ... More
    Modified [?]: 9 December 2024
    Dataset Added on HDX [?]: 9 December 2024
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    This dataset updates: Every year
    This dataset is part of the data series [?]: Data for Children Collaborative - Travel Time to Nearest Health Centre
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Rwanda. 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
  • Rwanda Walking Travel Time to nearest Level IV health centre
    Data for Children Collaborative
    Time Period of the Dataset [?]: August 01, 2024-August 01, 2024 ... More
    Modified [?]: 9 December 2024
    Dataset Added on HDX [?]: 9 December 2024
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    This dataset updates: Every year
    This dataset is part of the data series [?]: Data for Children Collaborative - Travel Time to Nearest Health Centre
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Rwanda. 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 walking speeds on all 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
  • Health Facilities in Sub-Saharan Africa
    HDX
    4100+ Downloads
    Time Period of the Dataset [?]: July 25, 2019-July 25, 2019 ... More
    Modified [?]: 13 December 2022
    Dataset Added on HDX [?]: 10 February 2020
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    This dataset updates: Every year
    This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format. This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.