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  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-February 28, 2025 ... More
    Modified [?]: 19 February 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 200+ Downloads
    Time Period of the Dataset [?]: February 18, 2025-February 18, 2025 ... More
    Modified [?]: 19 February 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 80+ Downloads
    Time Period of the Dataset [?]: August 23, 2024-February 19, 2025 ... More
    Modified [?]: 19 February 2025
    Dataset Added on HDX [?]: 14 December 2023
    This dataset updates: Every day
    This dataset is part of the data series [?]: IDMC - Internal Displacement Updates
    Conflict and disaster population movement (flows) data for Mayotte. The data is the most recent available and covers a 180 day time period. Internally displaced persons are defined according to the 1998 Guiding Principles as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1999-August 31, 2024 ... More
    Modified [?]: 16 February 2025
    Dataset Added on HDX [?]: 20 December 2021
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for Mayotte. Contains data from the FAOSTAT bulk data service.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2002-December 31, 2023 ... More
    Modified [?]: 15 February 2025
    Dataset Added on HDX [?]: 16 May 2023
    This dataset updates: Every month
    This dataset is part of the data series [?]: WHO - WHO Health Indicators
    This dataset contains data from WHO's data portal covering the following categories: Adolescent, Ageing, Air pollution, Assistive technology, Child, Child mortality, Cross-cutting, Dementia diagnosis, treatment and care, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, Global strategy, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and newborn, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics. For links to individual indicator metadata, see resource descriptions.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-February 07, 2025 ... More
    Modified [?]: 13 February 2025
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Mayotte. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 10+ Downloads
    Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Buildings
    OpenStreetMap contains roughly 93.6 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 100% of the total buildings.The average age of data for this region is 1 year, 5 months ( Last edited 15 days ago ) and 51% buildings 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['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    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:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Financial Services
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 2.2 million km of roads in this region. Based on AI-mapped estimates, this is approximately 105 % of the total road length in the dataset region. The average age of data for the region is 1 year, 5 months ( Last edited 15 days ago ) and 35% 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:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    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 This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Sea Ports
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Airports
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Waterways
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: February 12, 2025-February 12, 2025 ... More
    Modified [?]: 12 February 2025
    Dataset Added on HDX [?]: 15 May 2020
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Points of Interest
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source name:fr This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 4900+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-September 05, 2024 ... More
    Modified [?]: 3 February 2025
    Dataset Added on HDX [?]: 11 January 2024
    This dataset updates: Every month
    The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas. More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps
  • 30000+ Downloads
    Time Period of the Dataset [?]: October 13, 2021-March 15, 2024 ... More
    Modified [?]: 14 January 2025
    Dataset Added on HDX [?]: 2 June 2020
    This dataset updates: As needed
    We use an anonymized snapshot of all active Facebook users and their friendship networks to measure the intensity of connectedness between locations. The Social Connectedness Index (SCI) is a measure of the social connectedness between different geographies. Specifically, it measures the relative probability that two individuals across two locations are friends with each other on Facebook. Details on the underlying data and the construction of the index are provided in the “Facebook Social Connectedness Index - Data Notes.pdf” file. Please also see https://dataforgood.facebook.com/ as well as the associated research paper “Social Connectedness: Measurement, Determinants and Effects,” published in the Journal of Economic Perspectives (https://www.aeaweb.org/articles?id=10.1257/jep.32.3.259). Region identifiers are taken from GADM v2.8 https://gadm.org/download_country_v2.html. Future versions will update IDs to be compatible with the newest GADM version.
  • Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 9 January 2025
    Dataset Added on HDX [?]: 9 January 2025
    This dataset updates: Every year
    Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.
  • 10+ Downloads
    Time Period of the Dataset [?]: December 09, 2024-December 09, 2024 ... More
    Modified [?]: 8 January 2025
    Dataset Added on HDX [?]: 8 January 2025
    This dataset updates: Never
    We ran our damage assessment AI models on images provided by Planet and have mapped out the affected buildings. The images cover Passamainty in Mayotte. We assessed 3,875 buildings in the area, with damage levels as follows: 1,426 buildings are between 0% and 20% damaged 136 buildings are between 20% and 40% damaged 92 buildings are between 40% and 60% damaged 62 buildings are between 60% and 80% damaged 2,159 buildings are between 80% and 100% damaged
  • Time Period of the Dataset [?]: January 01, 2016-December 31, 2023 ... More
    Modified [?]: 25 November 2024
    Dataset Added on HDX [?]: 25 November 2024
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    The GRID3 MYT - Settlement Extents v3.0 consists of a geographic representation of settlements in Mayotte, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MYT - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].
  • 400+ Downloads
    Time Period of the Dataset [?]: May 18, 2012-July 11, 2024 ... More
    Modified [?]: 25 November 2024
    Dataset Added on HDX [?]: 20 November 2017
    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
  • Time Period of the Dataset [?]: November 07, 2024-November 07, 2024 ... More
    Modified [?]: 19 November 2024
    Dataset Added on HDX [?]: 19 November 2024
    This dataset updates: Every six months
    This dataset is part of the data series [?]: Heidelberg Institute for Geoinformation Technology - Road Surface Data
    This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between **paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the [paper](http://arxiv.org/abs/2410.19874) Roughly 0.0 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.0 and 0.0 (in million kms), corressponding to nan% and nan% respectively of the total road length in the dataset region. 0.0 million km or nan% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0 million km of information (corressponding to nan% of total missing information on road surface) It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications. This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications. AI features: pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved." pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved). osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved." combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved." combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved." n_of_predictions_used: Number of predictions used for the feature length estimation. predicted_length: Predicted length based on the DL model’s estimations, in meters. DL_mean_timestamp: Mean timestamp of the predictions used, for comparison. OSM features may have these attributes(Learn what tags mean here): name: Name of the feature, if available in OSM. name:en: Name of the feature in English, if available in OSM. name:* (in local language): Name of the feature in the local official language, where available. highway: Road classification based on OSM tags (e.g., residential, motorway, footway). surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt). smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad). width: Width of the road, where available. lanes: Number of lanes on the road. oneway: Indicates if the road is one-way (yes or no). bridge: Specifies if the feature is a bridge (yes or no). layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels). source: Source of the data, indicating the origin or authority of specific attributes. Urban classification features may have these attributes: continent: The continent where the data point is located (e.g., Europe, Asia). country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States). urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban) urban_area: Name of the urban area or city where the data point is located. osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature. osm_type: Type of OSM element (e.g., node, way, relation). The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer. This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information. We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More
    Modified [?]: 16 August 2024
    Dataset Added on HDX [?]: 22 September 2019
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UNESCO - Education Indicators
    Education indicators for Mayotte. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2024 February), Other Policy Relevant Indicators (made 2024 February), Demographic and Socio-economic (made 2024 February)