OpenStreetMap
Might depend on what exactly one considers a point of interest, but looking at some common keys:
- http://taginfo.openstreetmap.org/keys/amenity
- http://taginfo.openstreetmap.org/keys/shop
- http://taginfo.openstreetmap.org/keys/historic
- http://taginfo.openstreetmap.org/keys/tourism
- http://taginfo.openstreetmap.org/keys/craft
- http://taginfo.openstreetmap.org/keys/office
- http://taginfo.openstreetmap.org/keys/leisure
- http://taginfo.openstreetmap.org/tags/natural=peak
- http://taginfo.openstreetmap.org/tags/highway=bus_stop
- http://taginfo.openstreetmap.org/tags/railway=station
- http://taginfo.openstreetmap.org/tags/aeroway=aerodrome
we get around 20 million features that could be potential landmarks or points of interest.
Just counting points that have names, we get around 12.9 million features.
Addresses
- https://taginfo.openstreetmap.org/keys/addr:housenumber
- https://taginfo.openstreetmap.org/keys/addr:postcode
70 million individual addresses and 49 million postcode locations
Maybe there is a better way of finding out, but here’s a new conversation starter at your next mapping party!
讨论
Zverik 于 2016年10月 1日 09:32 的评论
By counting features in maps.me maps, I found around 11.2 million POIs with names, quite close to your estimate.
escada 于 2016年10月 1日 10:12 的评论
And then you forgot to look at the tourism tag (hotel, museum, etc.) :-)
jonwit 于 2016年10月 3日 13:22 的评论
That’s a lot of Pokémon go stops
robbieonsea 于 2016年10月 4日 23:48 的评论
Some other POIs:
Nearly 7.4 million individual trees
over 0.4 million peaks
PlaneMad 于 2016年10月 4日 23:57 的评论
Thank you escada and robbieonsea, updated! Not included tree’s though.