http://www.openstreetmap.org/images/osm_logo.png" alt=""/> OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

Browse the map of London on OpenStreetMap.org

Downloads:

The whole of England updated daily:

• england.osm.bz2 ~185M - .osm formatted raw XML data (compressed)
• england.shp.zip ~156M - ESRI shapefiles

For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

Data access APIs:

Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:
http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:
http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

The .osm format

The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

• .osm - About the raw XML data format of OpenStreetMap
• Downloading data - More details of the API and extract download options
• Xapi - The extended api for filtering by tag
• Map Features - A list of tags, and what map features they represent
• Converting map data between formats - catalogue of tools for converting from .osm to other formats

Simple embedded maps

Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

Help build the map!

The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

Español:Este shapefile contiene la red de carreteras de Panamá, basadas en la capa pública de Open Street Map. Esta capa se puede utilizar para analizar patrones o desarollos humanos. Para obtener un mapa base, por favor utilizar la capa de Openstreet Map.La actualización utilizada fue la de marzo del 2018.English:This shapefile contains the Panama's road network based on Open Street Map layer. This layer maybe used to analyze human patterns and development. For a basemap, we recommend using the OpenStreepmap Layer.The latest update used was of March, 2018.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')

Features may have these attributes:

• name
• covered
• source
• width
• natural
• depth
• layer
• waterway
• water
• blockage
• tunnel

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for 21 Pacific Island Countries, in a GIS-friendly format. The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly and contains data for Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Republic of the Marshall Islands, Nauru, Niue, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu, Guam, Northern Mariana Islands, French Polynesia, Wallis and Futuna, Tokelau, American Samoa as well as data on the Pacific region. The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

This data can be imported to GIS software, such as Quantum GIS or ESRI. Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response

This road network dataset was created from data extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to represent motor-vehicle traversable public roads within Australia. Note, however, as the original dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. This road network has been topologically corrected for the purposes of network analysis for motor vehicles. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020. AURIN has filtered the original data and omitted features to present the topologically correct, motor-vehicle traversable road network.

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display all building outlines as an area (polygon) within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

highway IS NOT NULL

Features may have these attributes:

• smoothness
• name
• surface
• bridge
• source
• width
• oneway
• lanes
• layer
• highway

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

OpenStreetMap is a project founded in 2004 with the aim of creating a free world map. Volunteers from many countries work on the further development of the software as well as the collection and processing of geodata. Data is collected about roads, railways, rivers, forests, houses and everything else that is commonly seen on maps. The OpenStreetMap data may be used free of charge and processed as long as the source is mentioned (see also: https://www.openstreetmap.org/copyright). This data set contains an excerpt from the OpenStreetMaps “Planet-File”, which contains the relevant data for the administrative district of Münster. Other formats such as OSM-XML, shapefiles, SVG, Adobe Illustrator, Garmin GPS, GPX, GML, KML, Manifold GIS or raster graphics can be exported at http://wiki.openstreetmap.org/wiki/Export. For questions about OpenStreetMap data, there is a German-speaking user forum: http://forum.openstreetmap.org/viewforum.php?id=14

OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for Papua New Guinea in a GIS-friendly format.

The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.

The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

BETA Map of each municipality extracted from Open Street Map, updated weekly. NB: The regions are also available. #Content Each department is delivered as a ZIP archive that contains several map layers to the fomat shapefile (mapping.doc): — places.shp: names of cities or neighbourhoods — roads.shp: all routes from highway to pedestrian path — buildings.shp: built space — raillways.shp: railway tracks — waterways.shp:the hydrolic network — paragraphs.shp: a list of points of interest — natural.shp: green areas — landuse.shp: land occupancy — admin-department.shp: the department In addition, a very summary project file QGis is provided in the archive, in order to visualise the layer overlay in a free tool. Screenshot of the open map under QGis #Origin The data come from the community and free cartographic database OpenStreetMap. The division by department comes from Contours of the French departments from OpenStreetMap. Shapefiles are extracted according to the method shown by Maxime Résibois’ excellent article on PortailSIG: http://www.portailsig.org/content/recuperer-des-donnees-openstreetmap-gdalogr The sources of automatic extraction processing are available on github. They rely on tuttle, a build system for data. # License This data is derived from crowdsourcing carried out by the contributors to the OpenStreetMap project and is under ODbL license which imposes an identical sharing and the mandatory attribution statement must be “© the ODbL-licensed OpenStreetMap contributors” in accordance with http://osm.org/copyright # Modification history

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

highway IS NOT NULL

Features may have these attributes:

• highway
• surface
• name
• smoothness
• lanes
• width
• source
• layer
• oneway
• bridge

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Content Map of each department extracted from Open Street Map, updated weekly. NB: The regions are also available. Each department is delivered in the form of a ZIP archive containing several map layers in the shapefile fomat (cartography le.doc): — places.shp: Names of cities or neighbourhoods — roads.shp: All roads from the motorway to the pedestrian path Buildings.shp: The built space — Raillways.shp: Railway tracks — waterways.shp: the hydrolic network — paragraphs.shp: A list of points of interest — Natal.shp: Green areas — landuse.shp: Land cover — admin-departement.shp: The Department In addition, a very brief project file QGIS is provided in the archive in order to view the overlay of the layers in a free tool. screenshot of the card open under QGIS # Origin The data come from the Community and Free Mapping Database OpenStreetMap. The breakdown by department comes from Contours des départements français from OpenStreetMap. Shapefiles are extracted in accordance with the method set out in the excellent article by Maxime Résibois on PortailSGI: Http://www.portailsig.org/content/recuperer-des-donnees-openstreetmap-gdalogr The sources of automatic extraction processing are available on GitHub. They are based on Tuttle, a data building system. # Licence These data come from crowdsourcing carried out by the contributors to the OpenStreetMap project and are under an ODbL licence, which requires identical sharing and the mandatory assignment endorsement must be ‘© OpenStreetMap contributors under ODbL licence’ in accordance with http://osm.org/copyright # Historical history of changes * * 7 April 2018 * * * correction of a bug that could remove part of the data on coastal departments * update the QGIS file so that the card is more joined-up # Departments and covid If your department is subject to the health pass, order your bank card format on card sanitaire.fr

This datatset contains a land use classification of Dakar (Senegal) at the street block level. It was created following the methodology presented in [1].

Description of the files:

• "Dakar_landuse_shapefile.zip" : Shapefile of the street blocks extracted from OpenStreetMap using [2] with classification results in the attribute table.
• "Dakar_landuse_style.zip" : Files for style of the shapefile.

Attribute table content:

• "CAT", "GID" : ID of the street block
• "PROB_ACS" : Probability to belong to class ACS
• "PROB_AGRI" : Probability to belong to class AGRI
• "PROB_BARE" : Probability to belong to class BARE
• "PROB_DEPR" : Probability to belong to class DEPR
• "PROB_PLAN" : Probability to belong to class PLAN
• "PROB_VEG" : Probability to belong to class VEG
• "FIRST_LABE" : Class with the highest classification probability
• "SEC_LABEL" : Class with the second highest classification probability
• "FIRST_PROB" : Value of the highest classification probability
• "SEC_PROB" : Value of the second highest classification probability
• "UNCERTAIN" : Difference between "FIRST_PROB" and "SEC_PROB"
• "BUILT_PERC" : Percentage of the street blocks covered by built-up (from land cover map)
• "MAP_LABEL" : Final classification label with uncertainty and different density classes

Legend classes label:

• "AGRI" : Agricultural vegetation
• "VEG" : Natural vegetation
• "BARE" : Bare soils
• "ACS" : Non-residential built-up (administrative, commercial, services, etc.)
• "PLAN" : Planned residential built-up
• "PLAN_LD" : Planned residential low density built-up
• "DEPR" : Deprived residential built-up
• "UNCERT" : Uncertain classification

References:

[1] Grippa, Tais, 2018, "Mapping urban land use at street block level using OpenStreetMap, remote sensing data and spatial metrics", ISPRS Int. J. Geo-Inf. 2018, 7(7), 246. https://doi.org/10.3390/ijgi7070246

[2] Grippa, Tais. 2018. “Osm Street Blocks Extraction.” Zenodo. https://doi.org/10.5281/zenodo.1290637.

Funding:

This dataset was produced in the frame of two research project : MAUPP (http://maupp.ulb.ac.be) and REACT (http://react.ulb.be), funded by the Belgian Federal Science Policy Office (BELSPO).

This feature layer provides access to OpenStreetMap (OSM) buildings data for Africa, which is updated every 1 minute with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

Anguilla OSM places | OpenStreetMap places shapefile provided by MAPZEN

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')

Features may have these attributes:

• depth
• name
• natural
• covered
• blockage
• water
• tunnel
• width
• source
• layer
• waterway

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This dataset includes an OpenStreetMap extracts for buildings in Haiti. Also see the Haiti OpenStreetMap extract, Roads and Haiti OpenStreetMap extract, POIs datasets on HDX.

The shapefiles include all building features in the OpenStreetMap database for Haiti, including the following tags:

• building=*
• building:levels=*
• building:material=*

See the Humanitarian OpenStreetMap Team website for more information on the response.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

highway IS NOT NULL

Features may have these attributes:

• layer
• name
• source
• bridge
• surface
• smoothness
• width
• oneway
• lanes
• highway

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

These ArcGIS shapefiles are derived from OpenStreetMap.org. OpenStreetMap is open data, licensed under the Open Data Commons Open Database License (ODbL).