How Mapbox moves the world
Mapbox technologies create and combine data to provide continuously updated maps, navigation, and location search services on a developer-friendly cloud platform.
Suggest an update
Click on the ‘Contribute’ button to recommend a change to an address, road, business, or point of interest.
700M+
end users touch Mapbox every month
30K+
people contribute feedback monthly
1M+
map and navigation data updates every day
Mapbox data sources
Mapbox maps, navigation, search, and data services are based on a living location platform, fueled by global sensor data and backed by AI. Neural networks and deep learning algorithms interpret petabytes of data collected daily from hundreds of millions of location-enabled vehicles and devices. Live data signals integrate with carefully curated data sources to power reliable and continuously updating location experiences.

Location telemetry
In a typical week, Mapbox ingests over two billion miles of anonymized data aggregated from 45,000+ mobile applications and millions of vehicles’ sensors.

Vehicle vision
Computer vision algorithms running in regular cars on the road detect features like road signs, traffic signals, and other objects and send the detection events to Mapbox.

Aerial imagery
Machine learning pipelines extract road lanes, turn restrictions, buildings, and more from high-definition aerial imagery.

User feedback
Over 30,000 users worldwide provide feedback to Mapbox every month, which is then triaged by human reviewers with AI assistance.

Third-party data
Mapbox meticulously combines its data with over 150 high-quality commercial, government, and open data sources from around the world to produce comprehensive global datasets.
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Discover how Mapbox data is displayed in the Mapbox Standard map style.
Mapbox in action
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Frequently Asked Questions
Mapbox is a location platform that provides developers with maps, navigation, search, and geospatial data services. Companies use Mapbox to build custom location experiences for mobile apps, websites, vehicles, logistics systems, and more.
A location platform combines maps, geospatial data, navigation, search, routing, and developer tools into a single system that helps applications understand and interact with the physical world. A location platform combines the concept of a geospatial data service with the concept of a ‘developer platform’ which refers to a centralized system that unifies tools, documentation, and processes to streamline software development, deployment, and management, reducing complexity and accelerating delivery.
A living location platform describes a developer platform of location-based services such as maps, navigation, and places search that continuously updates the underlying geospatial data that powers the services. Data sources include sensor data or telemetry, imagery, and user contributions.
A GIS (Geographic Information System) is primarily designed for spatial analysis and data management. A location platform is built to power live, interactive location experiences inside applications, including navigation, search, routing, current traffic conditions, and customizable maps for end users.
Mapbox is better thought of as a Platform as a Service (PaaS) company. Software as a Service (SaaS) delivers ready-to-use applications over the internet, while Platform as a Service (PaaS) provides a platform for developers to build, deploy, and manage applications without handling underlying infrastructure.
Mapbox processes over 1 million map and navigation data updates on a typical day using AI, sensor data, imagery, and user feedback.
Mapbox combines data from user feedback, anonymized telemetry, aerial imagery, commercial providers, government sources, and open datasets worldwide.
You can recommend updates to roads, road details, navigation incidents, addresses, businesses, and points of interest by clicking the “Contribute” button on a Mapbox map. User feedback helps improve Mapbox data and supports continuous map updates worldwide.
Yes. Businesses and users can submit updates for addresses, roads, and points of interest through Mapbox feedback tools.
POI updates are changes to businesses, landmarks, addresses, and locations that help keep search and navigation results current.
Mapbox ingests anonymized location telemetry from mobile applications and connected vehicles that use Mapbox services to help improve its maps and navigation services.
Mapbox uses aerial imagery, computer vision, telemetry, and AI models to identify lane geometry, turn restrictions, and road network changes.
Yes. Mapbox uses live traffic signals and telemetry data to support traffic-aware routing, estimated arrival times, and navigation updates.
User-submitted feedback is reviewed using AI-assisted workflows and human moderation to validate and prioritize map updates.
Mapbox uses AI, machine learning, computer vision, and neural networks to process billions of miles of anonymized telemetry data, interpret imagery, identify map changes, evaluate user feedback, improve navigation guidance, and continuously update geospatial datasets.
Mapbox uses AI and machine learning to detect map changes at scale, while human reviewers help validate complex or sensitive updates.
Mapbox combines anonymized location telemetry, aerial imagery, computer vision data, user feedback, commercial datasets, government data, and open data to build its maps, navigation, and search services.
Location telemetry is anonymized geographic data generated by devices and vehicles, such as GPS traces, speed, and movement patterns.
Mapbox uses aggregated and anonymized telemetry data designed to help improve services while protecting individual user privacy. Learn more about Mapbox privacy at https://www.mapbox.com/legal/privacy.
Computer vision algorithms analyze imagery to identify roads, signs, traffic signals, lane markings, and other map features automatically.
Yes. Mapbox incorporates open data sources, including OpenStreetMap, alongside commercial, government, and proprietary datasets.
Mapbox uses high-definition aerial and satellite imagery alongside machine learning pipelines to identify roads, buildings, turn restrictions, lane geometry, and other map features that help keep maps current and accurate. Mapbox also provides imagery-based map styles for developers to use when building applications.
Aerial imagery refers to photographs or image data captured from aircraft or drones that provide a detailed view of an area from above.
Mapbox is used to power maps, navigation, search, logistics, mobility, automotive systems, travel applications, business intelligence tools, and geospatial visualization experiences across mobile apps, websites, and connected devices.
Mapbox is used by companies across every industry, including automotive, logistics, mobility, retail, travel, delivery, business intelligence, and consumer application industries.
Mapbox powers location experiences for thousands of applications and reaches over 700 million end users every month.
Yes. Mapbox powers in-vehicle navigation and location experiences for automotive manufacturers and mobility platforms worldwide.
Yes. Developers can customize map styles, routing logic, navigation interfaces, voice guidance, and branded experiences using Mapbox SDKs and APIs.
Mapbox gives developers greater flexibility to customize maps, navigation, and search experiences while supporting large-scale, continuously updated location data.
Mapbox offers free usage tiers for many products, allowing developers and companies to build and test applications at no cost. Pricing scales based on usage, products, and features. Details are available on the Mapbox pricing page.
Mapbox allows developers to fully customize maps by changing the styling of map features, colors, fonts, icons, 3D buildings, terrain, satellite imagery, and more. Creating customized, branded map experiences is a popular reason for building with Mapbox APIs and SDKs.
Developers can customize navigation experiences by adjusting map styling, routing profiles, voice instructions, EV routing features, tailored user interfaces and more using Mapbox Navigation SDKs.
Data Licenses
Licensed under our Terms of Service.
Mapbox Streets contains data from OpenStreetMap. OpenStreetMap contributors create and improve OpenStreetMap data, which is licensed under the ODbL.
For certain customers using Mapbox Streets, the Road Traffic Information Data has been provided by JARTIC. © Japan Road Traffic Information Center
For certain customers, Mapbox Streets contains Zenrin data in Japan:
- “Japan Data provided by ZENRIN CO., LTD. Copyright ©2019, All Rights Reserved”.
- Notice concerning approval from the Geospatial Information Authority of Japan:
「この地図の作成にあたっては、国土地理院長の承認を得て、同院発行の 2 万 5 千分の 1 地形図を使用した。(測量法に基づく国土地理院長承認(使用) R 5JHs 167-B40号)」
-Notice concerning approval from Japan Digital Road Map Association:
「この地図の作成に当たっては、一般財団法人日本デジタル道路地図協会発行の全国デジタル道路地図データベースを使用しています。(測量法第 44 条に基づく成果使用承認 12-2010)」.
- Japan Digital Road Map Association Copyright notice:
「©2017-2019 一般財団法人日本デジタル道路地図協会」
Includes Geoportal Berlin data (modified) from Berlin Open Data, Datenlizenz Deutschland – Namensnennung – Version 2.0
Includes data from the City of Calgary, Canada licensed under the Open Government Licence – City of Calgary
Includes data from Ville de Québec, Creative Commons Attribution 4.0 (CC BY 4.0)
Includes data from the Comune di Milano licensed under the Creative Commons Attribuzione 4.0 Internazionale
Includes data from the GEBCO Compilation Group (2021) GEBCO 2021 Grid (doi:10.5285/c6612cbe-50b3-0cff-e053-6c86abc09f8f).
Includes speed camera data from SCDB.info.
Includes data from Esri Community Maps contributors. Available under CC BY 4.0.
Includes data from Google Open Buildings. Available under CC BY 4.0.
Includes data from USGS 3D Elevation Program Digital Elevation Program.
Includes data from Microsoft.
Includes data from MapsPeople.
Licensed under our Terms of Service.
Includes commercial imagery acquired and processed by Maxar; Vexcel Imaging; NASA; USGS; USDA; IGN (Institut Géographique National); Centro Nacional de Información Geográfica (CNIG); Bundesamt für Landestopografie swisstopo; Ortofoto České Republiky; Forårsbilleder Ortofoto - GeoDanmark; Kadaster / Beeldmateriaal.nl, CC BY 4.0; LINZ Data Service (CC BY 4.0); Direção-Geral do Território; City of Melbourne; Datenquelle: Stadt Wien - https://data.wien.gv.at; Land Tirol - data.tirol.gv.at; Government of Bermuda; Town of Banff Open Data Imagery; City of Kamloops Open Data Imagery (Open Government License - Kamloops); © Geoportal Berlin, dl-de/by-2-0; Freie und Hansestadt Hamburg, Landesbetrieb Geoinformation und Vermessung (LGV); © LGLN; GeoSN, dl-de / by-2-0; Geobasis NRW; © GeoBasis-DE/LGB, dl-de/by-2-0; Geobasisdaten © Hessische Verwaltung für Bodenmanagement und Geoinformation; Główny Urząd Geodezji i Kartografii.
Licensed under our Terms of Service.
Includes commercial terrain data from Geographx. Includes open data from l'Institut national de l'information géographique et forestière, 2013; the Government of Canada (Open Government Licence – Canada); The National Land Survey of Finland Topographic Database, 2013 (NLS ODL); © Norwegian Mapping Authority (CC-BY 3.0 NO); Ordnance Survey data © Crown copyright and database right 2013; INEGI; Geodatastyrelsen, DHM / Terrain (1.6 m grid), 2014; The National Dynamic Land Cover Dataset © Geoscience Australia (CC-BY 2.5 AU); United States Geological Survey; NASA/JPL. Geospatial Information Authority of Japan (国土地理院) 測量法に基づく国土地理院長承認(使用)R 3JHs 223
Licensed under our Terms of Service.
Contains information from the New Jersey Office of Information Technology, Office of Geographic Information Systems (NJOIT - OGIS).
Contains information licensed under the GeoNB Open Data Licence.
Includes place data from Quattroshapes (CC-BY); US Census TIGER; Flickr Shapefiles Public Dataset 2.0; Japanese Ministry of Land, Infrastructure & Transport; Australian Bureau of Statistics; Austrian Address Register (2015-07-15 release); Government of Nova Scotia; Canvec Product licensed under the Open Government Licence – Canada; Norwegian Mapping Authority, ©Kartverket (CC-BY); INEGI; CNIGS; IBGE; IGN; Estonian Land Board.
Adapted from Statistics Canada, Census Boundaries, 2010. This does not constitute an endorsement by Statistics Canada of this product.
Incorporates or developed using G-NAF ©PSMA Australia Limited licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.
Includes place data supplied by GfK GeoMarketing. Australian dataset is partially based on ABS data which is used with permission from the Australian Bureau of Statistics. Brazilian dataset is partially based on IBGE data which is used with permission from the Instituto Brasileiro de Geografia e Estatística. Canadian dataset is partially based on Department of Natural Resources Canada data. Democratic Republic of the Congo dataset is partially based on Référentiel Géographique Commun data. Estonian dataset is partially based on Estonian Land Board data 2008. Portuguese dataset is partially based on Instituto Geográfico Português data. South African dataset is partially based on data from the Department of Water Affairs, the Municipal Demarcation Board, and National Geospatial Information.
This website / product / service contains information that is copied or extracted from data made available by the Government of Hong Kong Special Administrative Region (the "Government") at https://DATA.GOV.HK ("DATA.GOV.HK"). The provision of information copied or extracted from or a link to DATA.GOV.HK at this website or in relation to the product or service shall not constitute any form of co-operation or affiliation by the Government with any person in relation to this website, the product or the service or any contents herein. Nothing in this website, the product or the service shall give rise to any representation, warranty or implication that the Government agrees with, approves of, recommends or endorses any contents of this website or the product or the service. The Government does not have any liability, obligation or responsibility whatsoever for any loss, destruction or damage (including without limitation consequential loss, destruction or damage) howsoever arising from or in respect of your use or misuse of or reliance on or inability to use any contents herein.
Includes neighborhood data from Zillow.
Contains neighborhood information Quartiers administratifs, which is available from Paris Data under the Open Database License (ODbL).
Includes Marseille neighborhood data Quartiers de Marseille, data.gouv.fr, Creative Commons Attribution 2.0 (CC-BY 2.0).
Includes Ireland Townlands data, Ordnance Survey Ireland, Creative Commons Attribution 4.0 (CC-BY 4.0).
Contains OS data © Crown copyright and database right 2017.Includes district, place and postcode data that are Copyright © TAA «Kantynent Infarmatsyynyya Tekhnalogii», 2010-2017
Includes "Postal code polygons" published by Correos de México. Data obtained from Ubicacion y poligonos geograficos de los codigos postales en la republica mexicanaon 2019-01-30.
Includes locality data Dane z państwowego rejestru granic i powierzchni jednostek podziałów terytorialnych kraju - PRG, Główny Urząd Geodezji i Kartografii (Poland Head Office of Geodesy and Cartography), Creative Commons Uznanie Autorstwa 3.0 Polska.
Contains information by OpenStreetMap contributors, which OpenStreetMap makes available under the Open Database License (ODbL).
Includes data from GeoNames (CC-BY).
Contains information from the OneMap Singapore Search API accessed on October 14th, 2019 from onemap.sg which is made available under the terms of the Singapore Open Data License version 1.0.
Includes Netherlands Wijk- en buurtkaart 2020 data, from CBS (Statistics Netherlands) and Basis Registratie Kadaster - BRK (Land Registry), Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes US address data from Oregon Metro, Yuba County, Mesa County, Shelby County, Marin County, Amador County, City of Fort Collins, Madera County, Copyright © 2015 Kenai Peninsula Borough, Jefferson County, Hillsborough County, Mono County, City of Baltimore, Highlands County, Arapahoe County, Pubelo County, City of Berkeley, City of Nashville, Los Angeles County, City of Aurora, Kings County, Fresno County, City of Honolulu, San Joaquin County, Archuleta County, Charlotte County, City of Boulder, City of Manchester, Santa Barbara County, Mariposa County, City of Mesa, Solano County, Tuolumne County, Talladega County, Sumter County, Gilpin County, Town of Fairfield, Suffolk County Dept. of Information Technology - GIS Unit., Monterey County, City of Greeley, Lassen County, Stanislaus County, Santa Clara County, Merced County, City of Fayetteville, City of Avon, Matanuska-Susitna Borough, Clay County, Orange County, Mendocino County, Municipality of Anchorage, City of Fullerton, City of Glendale, Oklahoma and Logan Counties - Association of Central Oklahoma Governments, Office of Geographic Information (MassGIS), Modoc County, Alpine County, City of Montgomery, City of Orange, Frederick County, Anne Arundel County, Calhoun County, City of Savannah, El Dorando County, VT Enhanced 911 Board, Santa Cruz County, City of Watertown, Yolo County, Humboldt County, Gunnison County, Sonoma County, Alameda County, City of Westminster, Mississippi Department of Environmental Quality, Pitkin County, City of Mountain View, Capital Area Council of Governments, Metro Louisville, Shasta County, San Luis Obispo County, San Mateo County, Vernon County, City of Carson, County of Placer, Kern County, San Bernardino County, Ciy of Hartford, Putnam County, City of Arvada, City of Lyme, Larimer County, Clayton County, City of Sunnyvale, San Miguel County, Contra Costa County, Town of New Milford, Lake County, City of Bakersfield, Citrus County, Sacramento County, Gordon County, Imperial County, San Diego Geographic Information Source - JPA, Cooke, Arkansas Geographic Information Office, City of Loveland, City of Washington, Muscogee County, County of Nevada, City of Huntsville, Bay County, City of Hayward and Fairview. Licensed for Public Use, Napa County, City of Cupertino, Butte County, Brevard County.
Includes Censos 2011 - Importação dos principais dados alfanuméricos e geográficos (BGRI) data from Instituto Nacional de Estatística – Portugal (Statistics Portugal) made available under Creative Commons Attribution 4.0 (CC-BY 4.0) terms.
Includes Località italiane 2011 data, Istituto nazionale di statistics (Istat), Creative Commons Attribution 3.0 (CC-BY 3.0).
Includes swissNAMES3D data from Federal Office of Topography swisstopo made available under free geodata and geoservices terms (OGD).
Includes Áreas de población - España v0 (2016), Instituto Geográfico Nacional (IGN), Creative Commons Attribution 4.0 (CC-BY 4.0).
Contains Distribution of population units by Autonomous Community and province information from Instituto Nacional de Estadística (INE) dated 2020-12-29 made available under these reuse terms.
Includes Administrative units of the city of Barcelona, Barcelona City Council, Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes Barrios de Sevilla, Datos Abiertos de Sevilla, Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes Barrios. Población año 2019, Ayuntamiento de Santa Cruz de Tenerife, Creative Commons Attribution (CC-BY).
Includes Barrios estadísticos de la Comunidad Autónoma del País Vasco, Comunidad Autónoma de País Vasco, Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes Barrios Cáceres, Ayuntamiento de Cáceres, Creative Commons Attribution 4.0 (CC-BY 3.0) obtained on 2021-03-23.
Includes Sistema de Información Cartográfica - Distrito Municipal, Ayuntamiento de Málaga, Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes Delimitación de Juntas en el año 2017 data from Ayuntamiento de Zaragoza dated 25 octubre 2017 and made available under these reuse terms.
Includes Callejero Municipal de Las Palmas de Gran Canaria data from Ayuntamiento de Las Palmas de Gran Canaria updated 02/20/2019 and made available under these reuse terms.
Includes distritos barrios data from Ayuntamiento de Madrid updated on November 02, 2020 and made available under these reuse terms.
Includes barrios data from Ajuntament de València made available under these reuse terms.
Includes data from Open Charge Map Contributors licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0), from NOBIL by Enova licensed under the Creative Commons Attribution 4.0 (CC BY 4.0), from the UK National Charge Point Registry which contains public sector information licensed under the Open Government License 3.0, data provided by Etalab which is a department of the interministerial digital directorate (DINUM) of France, licensed under the Open License, and from Bundesnetzagentur.de licensed under the Creative Commons Attribution 4.0 (CC-BY 4.0), which includes disclaimers of warranties. © Bundesnetzagentur - 2019
Includes points of interest (POIs) from Gurunavi Inc. ©︎楽天ぐるなび
Includes data from MapsPeople.
Contains ArcticDEM terrain data DEM(s) that was created from Maxar, Inc., imagery and funded under National Science Foundation awards 1043681, 1559691, and 1542736; Australia terrain data © Commonwealth of Australia (Geoscience Australia) 2017; Austria terrain data © offene Daten Österreichs – Digitales Geländemodell (DGM) Österreich; Canada terrain data contains information licensed under the Open Government Licence – Canada; Europe terrain data produced using Copernicus data and information funded by the European Union - EU-DEM layers; Global ETOPO1 terrain data U.S. National Oceanic and Atmospheric Administration; Mexico terrain data source: INEGI, Continental relief, 2016; New Zealand terrain data Copyright 2011 Crown copyright (c) Land Information New Zealand and the New Zealand Government (All rights reserved); Norway terrain data © Kartverket; United Kingdom terrain data © Environment Agency copyright and/or database right 2015. All rights reserved; and United States 3DEP (formerly NED) and global GMTED2010 and SRTM terrain data courtesy of the U.S. Geological Survey.
Includes terrain data from HRSCview, Freie Universitaet Berlin and DLR Berlin; NASA/JPL; place data from the International Astronomical Union Working Group for Planetary System Nomenclature, Gazetteer of Planetary Nomenclature; imagery from NASA/JPL/Malin Space Science Systems.
Contains information from OneMap Singapore Electoral divisions dataset accessed on December 12, 2019 from https://data.gov.sg/ which is made available under the terms of the Singapore Open Data Licence version 1.0.
India village-level boundaries, Meiyappan, P., P.S. Roy, A. Soliman, T. Li, P. Mondal, S. Wang, and A. K. Jain. 2018. India Village-Level Geospatial Socio-Economic Data Set: 1991, 2001. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CN71ZJ. Accessed 22 June 2020.
Includes Netherlands Wijk- en buurtkaart 2020 data, from CBS (Statistics Netherlands) and Basis Registratie Kadaster - BRK (Land Registry), Creative Commons Attribution 4.0 (CC-BY 4.0).
Includes boundary data from Afghanistan Geodesy and Cartography Head Office (AGCHO) (CC-BY 3.0 IGO), Ukraine Kartografia (CC-BY 3.0 IGO), OCHA Field Information Services Section (FISS) (CC-BY 3.0 IGO)
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