France GIS data
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Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).
GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.
Ce jeu de données comporte l’ensemble des lignes et itinéraires commerciaux régulièrs et virtuels (transport sur réservation utilisant le même véhicule qu’une ligne régulière) du réseau de transport régional Rémi, c’est-à-dire des territoires du 18, 28, 36, 37, 41 et 45.
Le géostandard "Véloroutes et voies vertes" décrit les véloroutes comme un réseau cyclable. Le réseau des véloroutes est constitué de différents éléments cyclables localisés :l'itinéraire cyclable : éléments structurant du réseau, les itinéraires cyclables représentent les véloroutes inscrites dans un schéma de développement du réseau cyclable de niveau européen (EV), national (SN3V) ou départemental la portion cyclable : chaque itinéraire cyclable est tronçonné en un certain nombre de portions cyclables. Ces portions cyclables indiquent les étapes, variantes, déviations d'un itinéraire cyclable le segment cyclable : élément le plus fin du réseau des véloroutes, c'est un tronçon cyclable identifiable par sa géométrie, son niveau d'avancement et son niveau d'équipement. le point de repère cyclable : il identifie les nœuds caractéristiques du réseau le point d'intérêt : il identifie les points d'intérêt touristique, les points d'accès aux autres moyens de transport et les point de services.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Country Boundary provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Region Postcodes2 Department Arrondissement Canton Postcodes5 Commune IRIS
Natural Earth admin 0 countries fra at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Postcodes2 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Department Arrondissement Canton Postcodes5 Commune IRIS
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Canton Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Department Arrondissement Postcodes5 Commune IRIS
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Arrondissement Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Department Canton Postcodes5 Commune IRIS
Ce jeu de données comporte l’ensemble des lignes du réseau de transport régional Rémi : lignes scolaires, régulières et virtuelles (transport sur réservation), c’est-à-dire des territoires du 18, 28, 36, 37, 41 et 45.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Postcodes5 Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Department Arrondissement Canton Commune IRIS
geoBoundaries ADM5 boundaries for France: 35010 units, representing 2020. Source: Republic of France, Regulatory Authority for Electronic Communications, Posts and Press Distribution (ARCEP).
geoBoundaries ADM3 boundaries for France: 320 units, representing 2022. Source: Institut national de l'information géographique et forestière (IGN-F).
Nombre d'espèces de faune recensées par maille régulière de 5 × 5 km. Cette couche donne une lecture de la richesse faunistique par maille, à comparer avec les hotspots, qui sont des polygones construits à partir des stations et non d'un découpage fixe. Il faut garder à l'esprit que le nombre d'espèces dépend aussi de l'effort de prospection.
GIS data released under Presumption to Publish and the OGL. Horsham District Council Tree Preservation Orders A Tree Preservation Order (TPO) is a legally enforceable order made by the Local Planning Authority to protect trees and woodland in the interests of public amenity. The power to make a TPO is contained in the Town and Country Planning Act 1990 and the Town and Country (Tree Preservation)(England) Regulations 2012. The principal effect of a TPO is to prohibit the cutting down, uprooting, topping, lopping, uprooting, wilful damage to or wilful destruction of protected trees or woodlands unless permission has been given by the Local Planning Authority. This dataset depicts individual, groups of trees, areas and woodlands as POLYGONS. Data has been captured against the Ordnance Survey Mastermap basemap. Attribute fields include: 1. REFERENCE = Unique Identifier for Polygon; 2. NAME = Name, Reference or Address of Tree Preservation Order; 3. TREE_PRESERVATION_ORDER = The Tree Preservation Order reference that affects this tree; 4. TNUM = Individual reference for Tree, Area or Woodland; 5. TREE_PRESERVATION_ZONE_TYPE = The type of order - Area, Group, Woodland or Individual Tree; 6. NOTES = Comments or Description relating to the Tree Preservation Order; 7. START_DATE = The date the Tree Preservation Order came into force (yyyy/mm/dd); 8. ENTRY_DATE = Date the entity was last updated (yyyy/mm/dd); 9. STATUS = The status of the Tree Preservation Order; 7. Documentation URL = Link to published documentation on our website This Data is formatted for the Open Digital Planning Hub project.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Commune Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Department Arrondissement Canton Postcodes5 IRIS
Microsoft AI for Good Lab ran their damage assessment AI model for the Saumos fire.
uav imagery by jlc, acquired 2025-05-06 to 2025-05-07, 1.0 cm per pixel, published on OpenAerialMap.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France IRIS Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Department Arrondissement Canton Postcodes5 Commune
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Department Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Region Postcodes2 Arrondissement Canton Postcodes5 Commune IRIS
geoBoundaries ADM2 boundaries for France: 96 units, representing 2022. Source: Institut national de l'information géographique et forestière (IGN-F).
Flood risk and hazard zone data for Ethiopia showing areas prone to flooding and inundation. Use this layer for disaster risk reduction planning, infrastructure siting, climate adaptation, and emergency preparedness.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. France Region Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from INSEE/IGN. These were published in March 2024. Other administrative boundaries for this country are also available: Country Postcodes2 Department Arrondissement Canton Postcodes5 Commune IRIS
geoBoundaries ADM4 boundaries for France: 2054 units, representing 2015. Source: OpenStreetMap, Data.gouv.fr (http//data.gouv.fr). Open Data Commons Open Database License 1.0
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.
This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between paved and unpaved roads across the region. Surface information is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name: "France: **Planet** Road Surface". The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 15.7615 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 6.2742 million km (39.8068%) - Unpaved roads: 1.0159 million km (6.4456%) About 9.1728 million km (58.1974%) of roads lack surface information in OSM. To reduce this gap, the Mapillary-derived surface dataset provides an additional 0.6775 million km (7.3862%) of surface information. Intended Use This dataset supports transportation planning, infrastructure assessment, climate emissions analysis, and GIS applications. AI Features - pred_class: Model-predicted surface class ("paved" or "unpaved") - pred_label: Binary label (0 = paved, 1 = unpaved) - osm_surface_class: Surface classification derived from OSM tags - combined_surface_osm_priority: Combined classification prioritizing OSM - combined_surface_DL_priority: Combined classification prioritizing DL prediction - n_of_predictions_used: Number of predictions used for estimation - predicted_length: DL-estimated length (meters) - DL_mean_timestamp: Mean timestamp of predictions OSM Attributes - name - name:en - name:* (local language) - highway - surface - smoothness - width - lanes - oneway - bridge - layer - source Urban Classification Attributes - continent - country_iso_a2 - urban (0 = rural, 1 = urban) - urban_area - osm_id - osm_type Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org
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Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT
Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT