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  • Time Period of the Dataset [?]: January 01, 2007-November 30, 2024 ... More
    Modified [?]: 7 December 2024
    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.
  • 90+ Downloads
    Time Period of the Dataset [?]: December 06, 2024-December 06, 2024 ... More
    Modified [?]: 7 December 2024
    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.
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-November 30, 2024 ... More
    Modified [?]: 7 December 2024
    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.
  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-December 31, 2023 ... More
    Modified [?]: 7 December 2024
    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.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2007-December 31, 2023 ... More
    Modified [?]: 5 December 2024
    Dataset Added on HDX [?]: 30 July 2020
    This dataset updates: Every six months
    This dataset is part of the data series [?]: UNHCR - Data on forcibly displaced populations and stateless persons
    Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-November 29, 2024 ... More
    Modified [?]: 5 December 2024
    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 Vatican City. 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.
  • 4100+ Downloads
    Time Period of the Dataset [?]: December 01, 2022-September 05, 2024 ... More
    Modified [?]: 4 December 2024
    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
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1999-August 31, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 17 October 2022
    This dataset updates: Every year
    This dataset is part of the data series [?]: FAO - Food Prices
    Food Prices for Holy See. Contains data from the FAOSTAT bulk data service.
  • 20+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Railways
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Financial Services
    OpenStreetMap exports for use in GIS applications. 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:it name:la 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 [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Populated Places
    OpenStreetMap exports for use in GIS applications. 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:it name:la 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 [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 169.6 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 99 % of the total road length in the dataset region. The average age of data for the region is 6 months ( Last edited 5 months ago ) and 23% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Buildings
    OpenStreetMap contains roughly 2.1 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 92% of the total buildings.The average age of data for this region is 6 months ( Last edited 5 months ago ) and 3% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Sea Ports
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Airports
    OpenStreetMap exports for use in GIS applications. 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:it name:la 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 [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Waterways
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 9 March 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Points of Interest
    OpenStreetMap exports for use in GIS applications. 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:it name:la This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 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 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 0.0001 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 35.7427% and 8.463% respectively of the total road length in the dataset region. 0.0 million km or 55.7943% 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 0.4493% 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.
  • 600+ Downloads
    Time Period of the Dataset [?]: January 01, 1970-December 31, 2023 ... More
    Modified [?]: 16 August 2024
    Dataset Added on HDX [?]: 3 April 2020
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UNESCO - Education Indicators
    Education indicators for Holy See. 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)
  • Time Period of the Dataset [?]: August 18, 2015-September 29, 2023 ... More
    Modified [?]: 12 April 2024
    Dataset Added on HDX [?]: 12 April 2024
    This dataset updates: Every year
    This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
  • 60+ Downloads
    Time Period of the Dataset [?]: September 27, 2023-March 25, 2024 ... More
    Modified [?]: 25 March 2024
    Dataset Added on HDX [?]: 14 December 2023
    This dataset updates: Every day
    This dataset is part of the data series [?]: IDMC - Internal Displacement Updates
    Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Holy See in the last 180 days. Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) 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), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
  • Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Holy See population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • 10+ Downloads
    Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More
    Modified [?]: 10 July 2023
    Dataset Added on HDX [?]: 13 April 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population
    Holy See (Vatican City State) administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population