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  • Nepal Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    900+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 22 September 2017
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    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 280.7 million km of roads in this region. Based on AI-mapped estimates, this is approximately 84 % of the total road length in the dataset region. The average age of data for the region is 3 years ( Last edited 5 months ago ) and 7% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:ne This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Nepal Railways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    200+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 5 December 2019
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Railways
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:ne This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Taiwan Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    500+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 3 April 2020
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 182.4 million km of roads in this region. Based on AI-mapped estimates, this is approximately 92 % of the total road length in the dataset region. The average age of data for the region is 1 year, 10 months ( Last edited 5 months ago ) and 17% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Taiwan Railways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    200+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 3 April 2020
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Railways
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:zh This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • State of Palestine Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    300+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 11 July 2017
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 45.9 million km of roads in this region. Based on AI-mapped estimates, this is approximately 76 % of the total road length in the dataset region. The average age of data for the region is 2 years ( Last edited 5 months ago ) and 15% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:ar This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • State of Palestine Railways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    100+ Downloads
    Time Period of the Dataset [?]: December 11, 2024-December 11, 2024 ... More
    Modified [?]: 11 December 2024
    Dataset Added on HDX [?]: 5 December 2019
    Less
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Railways
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source name:ar This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Zimbabwe 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Zimbabwe. 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
  • Zambia 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Zambia. 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
  • United Republic of Tanzania 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in United Republic of Tanzania. 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
  • Tunisia 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Tunisia. 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
  • Tunisia 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Tunisia. 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
  • Togo 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Togo. 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
  • Togo 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Togo. 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
  • Sudan 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Sudan. 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
  • Sudan 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Sudan. 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
  • South Sudan 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in South Sudan. 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
  • South Sudan 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in South Sudan. 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
  • South Africa 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in South Africa. 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
  • Somalia 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Somalia. 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
  • Somalia 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Somalia. 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
  • Sierra Leone 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Sierra Leone. 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
  • Sierra Leone 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Sierra Leone. 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
  • Seychelles 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Seychelles. 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
  • Seychelles 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
    Less
    This dataset updates: Every year
    A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Seychelles. 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
  • Senegal 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
    Less
    This dataset updates: Every year
    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