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Data & licences

Where every number comes from

Places of Earth is built only from open datasets, downloaded from their publishers and processed by us. This page lists each source, its licence, and the method behind the 4,917,084 place guides.

Climate normals

DatasetWhat we use it forPublisherLicence
CHELSA V2.1 climatologies, 1981–2010Monthly mean daily maximum and minimum temperature, precipitation and cloud cover at 30 arc-seconds (~1 km), downscaled from ERA5 reanalysis with terrain-aware methods.Karger, D.N. et al. (2017, 2021), WSL, SwitzerlandCreative Commons CC0 1.0 (dedicated to the public domain by the authors)
NOAA U.S. Climate Normals, 1991–2020Monthly mean daily maximum temperature at about 6,600 U.S. weather stations, used to correct the gridded daytime highs near each station (see Methodology).NOAA National Centers for Environmental Information (NCEI)Public domain (U.S. Government work)
WMO Climatological Standard Normals, 1991–2020Station normals submitted by national weather services, archived by NOAA NCEI (accession 0253808). About 2,100 stations in Europe and neighbouring countries are used for the same station correction.WMO Member national meteorological services; NOAA NCEICreative Commons CC0 1.0 (as published in the NOAA data catalog)
DWD Climate Data Center: CLIMAT station normals, 1991–2020Monthly mean daily maximum and minimum temperature for stations worldwide from CLIMAT reports: the 1991–2020 averages and, where those are missing, the monthly series. Used for the station correction where the WMO collection has no station, for example in Portugal, Greece and Croatia.Deutscher Wetterdienst (DWD)Creative Commons Attribution 4.0 (source: Deutscher Wetterdienst)
National climate networks, 1991–2020Monthly means of the daily maximum and minimum at the climate stations of national weather services, averaged by us over 1991–2020 (at least ten years per month): Germany (DWD), Austria (GeoSphere Austria), Switzerland (MeteoSwiss), France (Météo-France), the Netherlands (KNMI), the United Kingdom (Met Office historic stations) and Ireland (Met Éireann). They make the station correction denser where the WMO set has one station every 50–100 km.Deutscher Wetterdienst; GeoSphere Austria; MeteoSwiss; Météo-France; KNMI; Met Office; Met ÉireannCC BY 4.0 (DWD, GeoSphere Austria, MeteoSwiss, KNMI, Met Éireann); Licence Ouverte / Etalab 2.0 (Météo-France); Open Government Licence v3.0 (Met Office)
Regional climate networks in Italy and Spain, 1991–2020Monthly means of the daily maximum and minimum at regional weather stations, averaged by us over 1991–2020 (at least ten years per month): Tuscany (Settore Idrologico Regionale), Emilia-Romagna (Arpae, from 2006), South Tyrol (Landeswetterdienst), the Basque Country (Atlas climático: AEMET and Euskalmet stations to 2015) and Galicia (MeteoGalicia). Italy has no open national network beyond the synoptic stations, so the regional services fill the gaps.Regione Toscana – Settore Idrologico Regionale; Arpae Emilia-Romagna; Autonome Provinz Bozen – Landeswetterdienst; Gobierno Vasco; MeteoGalicia – Xunta de GaliciaCC BY 4.0 (Tuscany, Emilia-Romagna, Basque Country); CC0 1.0 (South Tyrol); MeteoGalicia: free reuse naming MeteoGalicia and the Consellería de Medio Ambiente e Cambio Climático (Xunta de Galicia) as the source
AEMET OpenData: Spanish climate stations, 1991–2020Monthly means of the daily maximum and minimum at the climatological stations of Spain's national weather service, averaged by us over 1991–2020 (at least ten years per month). They make the station correction dense across Spain, the Balearic and the Canary Islands.Agencia Estatal de Meteorología (AEMET)Free reuse, commercial use included, with attribution (Fuente: AEMET), as set out in AEMET's legal notice
NASA POWER daily precipitation, 2001–2020Used to count wet days (≥ 1 mm) per month on a 0.5° × 0.625° grid. Data are averaged over the twenty years.NASA Langley Research Center, POWER projectPublic domain (NASA open data policy); attribution requested
NOAA OISST v2.1 long-term monthly means, 1991–2020Sea surface temperature at 0.25°. A place counts as coastal within 12 km of the sea (Natural Earth coastline) and uses the nearest ocean cell.NOAA Physical Sciences LaboratoryPublic domain (U.S. Government work)

Forecasts

DatasetWhat we use it forPublisherLicence
ECMWF open data (IFS 0.25°)Our own forecasts for days 1–10: temperature, precipitation, wind, cloud cover and humidity from the latest run of the ECMWF global model, per 0.25° cell, adjusted to each place's own climate (its normal minus the cell's average), 3-hourly for the next 48 hours.European Centre for Medium-Range Weather ForecastsCreative Commons Attribution 4.0
MET Norway Locationforecast 2.0Point forecasts (temperature, wind, humidity, cloud, precipitation, weather symbol) based on the ECMWF global model, with altitude correction for mountain heights. Responses are cached until their published expiry time.Norwegian Meteorological InstituteCreative Commons Attribution 4.0 and Norwegian Licence for Open Government Data (NLOD) 2.0

Air quality and pollen

DatasetWhat we use it forPublisherLicence
Copernicus Atmosphere Monitoring Service (CAMS)Forecasts of PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide (Europe and the US) and of six pollen types (Europe), turned into the European Air Quality Index and the US AQI for each place, and the daily maximum UV index from the global forecast (biologically effective UV dose × 40). The dust row of the climate tables comes from the CAMS global reanalysis (EAC4): monthly averages for 2015–2024 of the dust aerosol optical depth at 550 nm at the nearest grid cell (about 80 km), shown where desert dust is noticeable. The Canaries and the Azores lie outside the European model and use the global forecast, without pollen.Generated using Copernicus Atmosphere Monitoring Service informationCC BY 4.0 (free use, commercial use included, with attribution)

Places, regions and airports

DatasetWhat we use it forPublisherLicence
GeoNamesPlace names, coordinates, feature classes, first-level administrative regions, time zones and population figures.GeoNames.orgCreative Commons Attribution 4.0
WikidataIdentifiers, English labels and descriptions, population with year, links to Wikipedia articles and Commons images, monuments and their designations, dates, architects and styles; mountains with elevation, prominence and range.Wikidata contributorsCreative Commons CC0 1.0
OurAirportsAirports with IATA/ICAO codes and coordinates (large and medium airports with scheduled service).OurAirports contributorsPublic domain
HydroLAKESSurface area and elevation of lakes from 10 ha, matched to our lakes by their shoreline and used where Wikidata gives no area.Messager, Lehner et al. (2016), Nature Communications 7: 13603 · www.hydrosheds.orgCC BY 4.0
Copernicus DEM GLO-90Elevation model (about 90 m) from which we compute the prominence of summits that Wikidata gives none for: the height of the summit above the highest col leading to higher ground. Shown only where the summit in the model matches the listed summit and the prominence is at least 100 m, rounded to 10 m; tested on summits with a known prominence, 96% came within 20%.© DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018, provided under COPERNICUS by the European Union and ESACopernicus DEM licence (free use, commercial use included, with attribution)
Waterfall heights: Wikipedia and OpenStreetMapWhere Wikidata has no height, the total height from the infobox of the waterfall's English Wikipedia article, otherwise the height tagged on the waterfall in OpenStreetMap (within 500 m of it).Wikipedia contributors · OpenStreetMap contributorsCC BY-SA 4.0 (Wikipedia) · ODbL 1.0 (OpenStreetMap)

Nature and wildlife

DatasetWhat we use it forPublisherLicence
Wikidata — lakes, waterfalls, glaciers, national parks, mountain hutsNames, coordinates, elevation, surface area and height of falls; how widely each place, monument and summit is documented (number of Wikipedia language editions), used to order lists.Wikidata contributorsCreative Commons CC0 1.0
Wikidata — museums, works of art, festivalsMuseums with their kind, founding year, collection size and visitors per year; the best-known works in their collections (titles in seven languages, artist, date), shown with their Commons photograph, portraits included; festivals with the month Wikidata gives (exact dates are not shown).Wikidata contributorsCreative Commons CC0 1.0
GBIF — Global Biodiversity Information FacilityCounts of published species records per country and calendar month (birds, mammals, reptiles, amphibians, butterflies and moths) and density maps of records. We show aggregated counts only, never individual sightings.GBIF.org and the publishing institutionsRecords under CC0, CC BY or CC BY-NC as set by each dataset; aggregated counts and maps via the GBIF API
Natural EarthCountry outlines for the maps (climate atlas, travel advice) and the 1:10m coastline that decides which places are by the sea.Natural EarthPublic domain
OpenStreetMap (Geofabrik extracts)Ski areas with their pistes and lifts, railway stations, ferry ports and routes, dive sites, the lines of rivers and the outlines of islands, read from the country extracts.© OpenStreetMap contributors; extracts by GeofabrikOpen Database License (ODbL)
UN World Population Prospects 2024Population of every country each year 1950–2050 (medium variant after 2023), for the population curve of the country pages.United Nations, Department of Economic and Social Affairs, Population DivisionCC BY 3.0 IGO
US Department of State travel advisoriesThe advisory level (1–4) for each country and the date it was issued, with a link to the full advisory; the text itself is not reproduced.U.S. Department of State, Bureau of Consular AffairsPublic domain (work of the U.S. government)
UK Foreign, Commonwealth & Development Office travel adviceWhether the FCDO advises against all or all but essential travel to a country or parts of it, and the date of the advice, with a link to it; the text itself is not reproduced.Foreign, Commonwealth & Development Office (GOV.UK Content API)Open Government Licence v3.0
GHSL Urban Centre Database R2024AResidents of the built-up urban area of a town every five years 1975–2030 (2030 projected), from satellite-based population grids.European Commission, Joint Research Centre (© European Union)CC BY 4.0
NOAA GEFS (Global Ensemble Forecast System)Days 11–35 of the outlook: the average and the spread of the ensemble's daily highs and lows, rain, cloud and wind, at 0.5°.NOAA National Centers for Environmental Prediction (NOAA Open Data Dissemination)Public domain (U.S. government data)
GFZ Kp index (1932–)Three-hourly Kp and ap: the monthly odds of the northern and southern lights for every place (1996–2025), the solar cycle and the storm archive. Matzka et al. (2021), doi:10.5880/Kp.0001.GFZ Helmholtz Centre for Geosciences, PotsdamCC BY 4.0
NOAA SWPC (OVATION, Kp, alerts)The auroral oval for the next half hour, the observed and forecast three-hourly Kp and the space-weather messages, refreshed every 15 minutes.NOAA Space Weather Prediction CenterPublic domain (U.S. government data)
USGS Earthquake Hazards ProgramEarthquakes of the last 30 days, refreshed every 15 minutes, and every magnitude 5+ earthquake since 1950 (ComCat).U.S. Geological SurveyPublic domain (U.S. government data)
NCEI/WDS Global Significant Earthquake DatabaseSignificant earthquakes on record with deaths, damage and tsunamis (doi:10.7289/V5TD9V7K).NOAA National Centers for Environmental InformationPublic domain (U.S. government data)
NASA FIRMS (VIIRS NOAA-20)Active fires of the last 24 hours seen by the VIIRS instrument on NOAA-20. We acknowledge the use of data from NASA's Fire Information for Resource Management System (FIRMS), part of NASA's ESDIS.NASA Earth Science Data and Information System (ESDIS)NASA open data
NOAA IBTrACS · National Hurricane CenterTropical cyclones of every basin with their tracks (IBTrACS ACTIVE) and the Atlantic and eastern Pacific storms of the National Hurricane Center; the archive of every tropical storm since 1980 with its track, peak wind, landfalls and the towns near it (IBTrACS v04r01 since 1980). Knapp et al. (2010), doi:10.25921/82ty-9e16.NOAA NCEI · NOAA NHCPublic domain (U.S. government data)
NCEI/WDS Global Historical Tsunami DatabaseEvery tsunami on record from 2100 BC to now, where and why it started, its highest wave and toll, and the places on the coast where it was measured or seen (doi:10.7289/V5PN93H7).NOAA National Centers for Environmental InformationPublic domain (U.S. government data)
Paleobiology Database (PBDB)Every fossil collection with its place and age, and the finds of dinosaurs, marine reptiles, mammoths and mastodons, early humans, trilobites and ammonites, for the fossil pages and the fossil sites near each town.The Paleobiology Database contributorsCC BY 4.0
GeoNames postal codesThe postal codes of each town (UK outward codes only; Royal Mail data © Royal Mail copyright and database right).GeoNamesCC BY 4.0
World Bank Open DataGDP per person (PPP), life expectancy, children per woman, urban share, internet use and forest cover of every country since 1960, with its rank among countries (World Development Indicators).The World BankCC BY 4.0
Research Organization Registry (ROR)Universities, colleges and research institutes of each town, with the year they were founded.ROR (California Digital Library, Crossref, DataCite)CC0 1.0
PleiadesCities, forts, temples and sanctuaries, theatres, villas, tombs, aqueducts, bridges and mines of the ancient world with the era each first appears in, for the ancient-site pages and the ancient sites near each town.Ancient World Mapping Center · Institute for the Study of the Ancient World (NYU) · Pleiades contributorsCC BY 3.0
MusicBrainzConcerts, festivals and music venues with their dates, artists and coordinates (event and place data).MetaBrainz FoundationCC0 1.0
holidays (Python)Public holidays of every country and its regions, including the days moved to a working day.vacanza/holidaysMIT
openfootball (football.json)This season's fixtures and results of the top football leagues (Premier League, Championship, Bundesliga, LaLiga, Ligue 1, Serie A, Eredivisie, Liga Portugal), placed in the home team's town.openfootball contributorsPublic domain
OpenStreetMap (OpenStreetMap France extracts)Camp sites, mountain huts, viewpoints, hot springs, climbing, surf spots, golf courses, theme parks, zoos, aquariums and water parks, read from the continent and country extracts.© OpenStreetMap contributors · extracts by OpenStreetMap FranceODbL 1.0
ECMWF wave model (open data)Wave height, period and direction for the next six days at the surf spots, from the open data of ECMWF's global wave model (0.25°).European Centre for Medium-Range Weather Forecasts (ECMWF)CC BY 4.0
AACGM-v2 (aacgmv2)The magnetic latitude of every place, from which the Kp needed to see the lights is computed.Shepherd (2014); A. G. Burrell et al.MIT
astronomy-engineOur own calculation of every eclipse (2026–2040) with local times for each place, moonrise and moonset, the phases of the moon and the meteor showers' peaks and radiant heights (VSOP87 and ELP theories).Don Cross (cosinekitty)MIT

Photographs

DatasetWhat we use it forPublisherLicence
Wikimedia CommonsPhotographs are displayed by linking to Wikimedia's own image servers at standard sizes; we do not copy or store them. Each photo is the image Wikidata gives for the place or, where there is none, the lead image of its English Wikipedia article; for some towns without either we show a well-known monument there, named in the caption. Every photo shows its author, licence and source under the ⓘ button. We only use JPEG/WebP photographs at least 800 px on the short side, under licences that allow reuse (CC0, public domain, CC BY, CC BY-SA), and we exclude maps, logos, diagrams and portraits.Individual authors as credited on each photoAs shown on each photo

Maps and imagery

DatasetWhat we use it forPublisherLicence
OpenFreeMap / OpenStreetMapBase map vector tiles with labels.OpenFreeMap; map data © OpenStreetMap contributorsOpen Database License (ODbL); attribution on every map
Sentinel-2 cloudless 2016 by EOXSatellite mosaic shown on maps and as a fallback image where no suitable photograph exists. Contains modified Copernicus Sentinel data 2016.EOX IT Services GmbHCreative Commons Attribution 4.0
Terrain Tiles on AWSElevation tiles for hillshading and 3D terrain.Mapzen and the contributing elevation datasets (SRTM, GMTED, ETOPO1, national datasets)Open data with attribution as listed by the provider

Hiking and cycling routes

DatasetWhat we use it forPublisherLicence
OpenStreetMap route relations (Geofabrik extracts)Hiking, cycling and mountain-bike routes as mapped: their ways, names, numbers and networks, path grades (sac_scale) and surfaces, and the huts, springs, viewpoints, passes, stops and car parks along them. Read from the regional extracts Geofabrik publishes, not from live map servers.OpenStreetMap contributors · extracts by Geofabrik GmbHOpen Database License (ODbL) 1.0
Copernicus DEM GLO-30Elevation model (about 30 m) read every 20 m along each route for the elevation profile, the total climb and descent and the highest and lowest points.© DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018, provided under COPERNICUS by the European Union and ESAFree use, including commercial, with this attribution
Wanderland SchweizSwitzerland's official signposted hiking routes (national, regional and local) and their stages, with the official length, climb and walking time; matched to the OpenStreetMap routes.Federal Roads Office (FEDRO), SchweizMobil foundation and the cantons, via geo.admin.chSwiss open government data: free use, the source must be named
swissTLM3D hiking trailsThe class of every signposted path segment (hiking trail, mountain trail, alpine route), from which Swiss routes get their grade, and the surface where OpenStreetMap has none.Federal Office of Topography swisstopoSwiss open government data: free use, the source must be named
ESA WorldCover 2021 (10 m)Land cover read every 50 m along each route; the share under tree cover is shown as the route's forest share.© ESA WorldCover project 2021 / Contains modified Copernicus Sentinel data (2021) processed by ESA WorldCover consortiumCreative Commons Attribution 4.0
iMethodology

How the numbers are made

Sampling

Each place, monument and summit is sampled at its own coordinates. Temperatures, precipitation and cloud cover come from the 1 km CHELSA grid cell containing the point. CHELSA temperature and precipitation continue across the coastline; for cloud cover, where a coastal point falls outside the land grid, the nearest land cells within a 7 × 7 window are averaged. Mountain summits use the cell around the summit, which represents the summit area; on sharp peaks the very top is usually a little colder than the cell average.

Station correction of highs and lows

CHELSA's average daytime highs run cooler than weather-station records in much of Europe and the United States: in July by 1.6 °C on average at the stations in our European countries and by 0.9 °C in the U.S. We therefore compare CHELSA with the 1991–2020 normals of about 13,300 stations, including the national climate networks of Germany, Austria, Switzerland, France, the Netherlands, the United Kingdom, Ireland and Spain and regional networks in Italy and Spain, and carry each station's difference over to the places and summits around it. The closest stations count most, stations at a very different height count little, a station also counts little where its grid value differs strongly from the place's own (so the sea-cooled cell of an island station does not warm towns on the mainland), and the adjustment fades to zero at 150 km; places farther than that from any station keep the CHELSA value. Tested by leaving out each station in turn and predicting it from the others, the typical July error falls from 1.5 °C to 0.6 °C. The national and regional networks matter most in towns and valleys: at their 4,500 stations the remaining July error drops from 0.82 °C with the synoptic stations alone to 0.59 °C, in Italy from 1.22 °C to 0.68 °C and in Spain from 1.15 °C to 0.84 °C. The Emilia-Romagna series start in 2006 and the Basque series end in 2015, so their averages lean slightly towards a warmer and a cooler part of 1991–2020. Because the station normals cover 1991–2020, adjusted values reflect that more recent period. Night-time lows are adjusted the same way; in the U.S., where CHELSA nights run about 1.8 °C warm, the typical error falls from about 2 °C to under 1 °C. Where a station's ready-made 1991–2020 average is missing (for example Porto, Faro or the Azores), we average its monthly reports for 1991–2020 when at least ten years are available. On low-lying islands and coasts the CHELSA cell is largely sea and can be several degrees too cool in summer (Zakynthos +7.9 °C in July), so differences of up to 8 °C are accepted there, against 6 °C elsewhere.

Month score

The sightseeing score (0–100) combines three parts: temperature comfort (42%), which is full for average daytime highs between 18 °C and 25 °C (64–77 °F) and falls to zero at 10 °C and 35 °C; dry days (33%), equal to 1 − wet days ÷ 14 (or 1 − precipitation ÷ 120 mm where wet days are not available); and clear skies (25%), equal to (90 − cloud cover %) ÷ 60, capped between 0 and 1.

The beach score uses comfort for highs between 25 °C and 31 °C (35%), sea temperature between 21 °C and 28 °C (25%), dry days (25%) and clear skies (15%). It is only calculated where we have a sea temperature. The best months shown for each place are its three highest-scoring months.

Climate type

The Köppen–Geiger class is computed from the same monthly normals using the standard thresholds (Peel et al., 2007 variant with a 0 °C boundary between temperate and continental climates).

Similar climates

Places are compared on their twelve monthly highs, lows and cloud cover. The closest matches at least 150 km away are listed, with a match percentage derived from the root-mean-square difference.

Which places have a page

A place gets a guide when it has at least 1,000 inhabitants (or 300 with an encyclopaedia article, or a documented village with a photograph and a monument or summit nearby) and enough data to be useful: population, a photograph, monuments or summits nearby, or an airport within 100 km. Separate climate guides and month-by-month pages are created for the places travellers look up most: towns above 50,000 people, and well-documented smaller towns and coastal resorts. Monuments need a recorded protected status, a photograph and at least one documented fact such as a date, an architect or a style (World Heritage sites always qualify when documented). In continental Europe this includes monuments described only in the country's own Wikipedia, so some names appear in the local language. Lakes, waterfalls, glaciers, national parks and mountain huts need a name and either an encyclopaedia article or a photograph with a recorded size or height; surface areas and heights use the unit-normalised values, and lakes that no longer exist are left out. Mountains need climate data and an article, a photograph or 300 m of prominence.

Daylight

Sunrise, sunset and day length are calculated by us with the NOAA solar position algorithm for the 15th of each month, using the official 90.833° zenith.

Mountains: snow and freezing level

Snow months are those in which the summit's mean temperature is at or below +1 °C with at least 10 mm of precipitation. The average freezing level is estimated from the summit's monthly mean temperature with a standard lapse rate of 6.5 °C per kilometre. Topographic isolation is the distance to the nearest higher summit in the atlas, left blank above 300 km where a higher peak outside our countries may be closer.

Wildlife

For each country we take the most recorded species of each group and count published records per calendar month. Months with the most records are shown as the best time to look. Record counts reflect both the animals and the people recording them, so busy holiday months can be over-represented.

Routes: line, profile and walking time

Each route's line is put together from its OpenStreetMap ways, following their shared end points; where the mapped route has a gap, the pieces are joined and the gap is left out of the length. The two Portuguese ways to Santiago are mapped in many separate sections, so their line is found through the ways of all Portuguese Camino routes, by way of the towns each way is known for. Heights come from Copernicus DEM GLO-30, read every 20 m and smoothed with a three-point running median; climb and descent count only changes of more than 2 m. Checked against 890 official Swiss stages, the climb was off by a median of 7.7%.

Walking time follows DIN 33466: 4 km an hour on the level, 300 m an hour uphill and 500 m downhill, taking the larger of the horizontal and vertical times and adding half the smaller, without breaks. Official Swiss routes show their official time and climb. For cycle routes we assume a relaxed 16 km an hour plus 8 minutes for every 100 m of climb.

Routes: grade, effort and months

The technical grade uses the SAC hiking scale (T1–T6): the highest grade mapped in OpenStreetMap on at least 5% of the route or, in Switzerland, the official path class (hiking trail T1, mountain trail T2 or T3, alpine route T4). Effort combines time and climb: easy below 2 hours and 300 m of climb, moderate below 4½ hours and 800 m, demanding below 7 hours and 1,400 m, very demanding beyond that; more than 10 hours of walking counts as a multi-day route.

Each month is rated with the climate at the route's highest point: the nearest atlas place or summit with climate data, adjusted to that height by 6.5 °C per kilometre. A month is good when the average high is 8–26 °C and it is no wetter than the route's median month, good but wetter when only the rain is above it, possible with highs of 3–8 °C or 26–30 °C, and unsuitable otherwise. On routes that climb above 1,800 m only June to October can be good, because of snow.

Suggested stages on the Camino de Santiago

The Camino has no fixed daily stages. We cut each way at villages within 1 km of it that have an albergue or hostel in OpenStreetMap or at least 1,000 inhabitants (GeoNames), aiming at about 23 km a day and keeping between 18 and 28 km where the villages allow it; every 300 m of climb counts as one extra kilometre, and larger towns are preferred as stage ends.

Direction, country and lists

A route runs the way its OpenStreetMap from and to tags say (or Wanderland's start and end); otherwise it starts at the end near the better-known place, a station, a stop or a car park. Its country is where most of its length lies. A town's list of hikes holds the hiking routes that start within 10 km of it or pass within 3 km; a park's or a lake's list holds the routes linked to it.

Photos on route pages are the atlas photos of the summits, huts, lakes, waterfalls, sights and villages the route passes; where there are fewer than three, Wikimedia Commons files within 200 m of the line are added after the same licence and quality checks. At most eight per route, spread along it.

Which routes are indexed

Every named route has a page. Search engines are asked to index it only when it is at least 3 km long (10 km for cycle routes, 5 km for stages), its line has no real gaps, and at least two of these apply: an official, national or regional network; a Wikidata or Wikipedia entry; photos; at least three atlas places, summits, sights or nature areas along the way; a start within 3 km of a town with a page. A town's list needs at least five such routes, a park's or a lake's at least three. GPX files carry the line, our heights and the drinking water and huts along the way. France's GR® routes have no GPX download, as their tracks are kept by the Fédération française de la randonnée pédestre.

Units

Pages for the United States show °F, miles, feet and inches; all other pages use metric units. The °C/°F switch at the top of every page changes temperatures everywhere and is remembered on your device.