trailmap
An analysis of how OpenStreetMap mapping developed in Finland 2007–2025. Partly written by AI, checked and edited by a human.
When you open the Trailmap app and see thousands of mountain bike trails all over Finland, you might wonder: where did all this come from? Who has mapped all these trails, marked their difficulty levels and added the details about surfaces and width?
The answer is both simple and astonishing: this is the work of the community. Of volunteer mappers who have, gradually, trail by trail, built a comprehensive map of Finland's mountain bike trails into the OpenStreetMap database.
But how did it actually happen? This piece is based on a thorough analysis of the change history of OpenStreetMap data relating to MTB-classified trails in Finland, and tells the story of how community mapping grew to its present scale over 12 active years (2013–2025).
The length of MTB-classified trails in Finland: growth over the years
Let's start with the numbers that tell the story:
| mtb:scale | Trails | % | Kilometres |
|---|---|---|---|
| 1 | 61198 | 42,9% | 12735 km |
| 2 | 36963 | 26,0% | 7704 km |
| 0 | 23232 | 16,3% | 4589 km |
| 3 | 8328 | 5,8% | 1695 km |
| 0+ | 2370 | 1,7% | 522 km |
| 0- | 1768 | 1,2% | 465 km |
| 4 | 1526 | 1,0% | 307 km |
Difficulty 1 (a fairly easy "yellow" trail) is the most common at 42.9 %, but a significant share (26.0 %) is the more technical scale 2 class (orange). In total 85.2 % of all trails are in the 0-2 range (including 0+/0-).
But sheer quantity does not tell the whole story. What is more interesting is how this was achieved.
New MTB-classified trails per year
The history of MTB mapping in Finland divides clearly into three phases:
The first years were quiet pioneer work. A small group of mappers laid the groundwork:
OpenStreetMap ("OSM") was founded in the UK in 2004 and spread from there to other countries fairly quickly. In every country the starting point was a "blank map", i.e. absolutely all the map data had to be created from scratch. The work of these pioneers was central above all to developing the overall base of OSM data, and along the way some MTB-classified trails began to appear on the map too.
In 2013 came the first significant rise — annual new tags climbed above 2000. This corresponds to the period when Finnish mappers started to organise:
2020 was the turning point. The numbers tell of a dramatic change:
| Metric | 2019 | 2020 | Change |
|---|---|---|---|
| New mtb:scale tags | 8672 | 32868 | +279 % |
| Active MTB mappers | 114 | 328 | +188 % |
| Top 200 active | 47 | 123 | +162 % |
What caused the 2020 explosion?
This was not a passing boom. Since 2020 mapping has settled at a sustainable level:
The number of active mappers per year
The number of active MTB mappers took a significant jump in 2020 and has stayed at a high level ever since.
Annual edits to MTB trails, including new trails
The number of edits grew in the same proportion as the number of active MTB mappers: mapping spread to many new cities and, for instance, in the Helsinki region it really got going for the first time. Once mapping started in trail-rich areas, results began to appear very fast.
Finland's OSM trail mapping is quite exceptional even on a global scale: in Europe I know of only Italy being some 5000 km ahead of us, and the other countries are far behind, our Nordic neighbours included. Relative to population we are simply in a class of our own. What explains this exceptional performance?
My own assessment of the explanatory factors is as follows:
OSM mapping is done for many motives; mapping as a hobby and supporting open data as a principle are probably at least part of the motive for many mappers — possibly a very significant part, especially where the mapping work done is not all that easy to trace to a concrete benefit.
For trail mapping the situation appears to differ from the OSM mainstream. Based both on discussion and on observation, for a significant share of trail mappers the key motivation is their own direct benefit and the benefit that comes from the trail mapping community doing things together. They feel more of a connection to fellow riders, i.e. MTB enthusiasts, than to the wider OSM and open data communities. The benefit of the mapping is very concrete and immediate: you get information about the trails you need for MTB riding — information that is not really available from any other channel.
For those reasons I believe that discussing OSM trail mapping on MTB enthusiasts' forums, rather than on general OSM forums, and the roles of the MTB map and later the Bikemap & Trailmap app, have been critical to the success of OSM trail mapping.
A good comparison is what happened in Sweden, where OSM trail mapping got started around the same time as in Finland (MTB mapping was level until 2016) but never took off, once the Trailforks app and its closed mapping platform became popular among MTB enthusiasts. The rapid growth in Trailforks's users, and with them mappers, made it the dominant solution and pushed the competing options aside. Today Sweden has some 5000 km of MTB-classified trail in OSM, and only around 1000 km has been added in the last 5 years — while Trailforks reports some 42000 km of MTB-classified trail in Sweden.
The top mappers' share of all edits to MTB-classified trails
One of the most interesting findings of the data analysis is the extreme concentration of trail mapping:
The same pattern is found in many other successful open / crowdsourcing projects (Wikipedia, Linux).
Concentration is not a problem but a common phenomenon in open, crowdsourcing-based projects. It also shows in the fact that contributors (mappers) are a very small group (clearly under 1%) relative to the users of the map. Enough mappers are needed, but concentration has its advantages too:
Mapping is not evenly distributed:
This is a natural result of mappers finding and marking trails in their own riding areas. Often even a single very active mapper in a new area gets that area's mapping to a good level within a few years.
The success of a community project depends on whether people stick around.
A very significant share of the all-time top mappers are still active, even though community projects typically see significant natural churn as people's interests and available time change over the years.
Note: Top XX means the most active MTB mappers across all edits made between 2007 and 2025.
| Era | Started | Still active | Continuity |
|---|---|---|---|
| pre-start (before 2013) | 11 | 7 | 63,6 % |
| Start (2013-2017) | 16 | 5 | 31,2 % |
| Bikemap (2018-2019) | 13 | 8 | 61,5 % |
| Trailmap (2020-2023) | 55 | 34 | 61,8 % |
| Trailmap v2 (2024-2025) | 5 | 5 | 100 % |
The top 290 covers 90 % of the mapping. The next 200 mappers (top 290-500) represent an active middle tier — regular regional mapping without peak volume. This layer is important for regional coverage.
In addition, 243 low-contribution mappers (≤5 edits) and 1878 non-MTB mappers add details and make edits to geometry.
August has 5x more tags than February (19814 vs 4013). Winter mapping is nonetheless surprisingly significant: no good explanation for this has been found yet, though mtb:winter, i.e. the winter MTB classification, remains unexamined.
Thanks to all the mappers, both those active today and those who over the years have made the OSM database better. Together we have achieved a rather valuable result!
If some question about mapping and mappers is nagging at you, drop an email to markus at trailmap.fi.
This analysis is based on a comprehensive analysis of OpenStreetMap history in Finland, covering all mtb:scale-tagged trails from 2007–2025. In total 430672 version changes and 166759 individual trail/path segments were analysed in order to understand how Finland's MTB trail map came to be.
All usernames have been left out to protect privacy, even though OSM data is public.