Back in 2010 & 2011 I conducted several studies to detect underrepresented regions a.k.a. “unmapped” places in OpenStreetMap (OSM). More than five years later, some people asked if I could rerun the analysis. Based on the latest OSM planet dump file and Taginfo, almost 1 million places have been tagged as villages. Furthermore, around 59 million streets have a residential, unclassified or service highway value. My algorithm to find unmapped places, works as follows:

1. Use every place node of the OSM dataset which has a village-tag (place=village).
2. Search in a radius of ca. 700 m for a street with one of the following highway-values: residential, unclassified or service.
3. If no street can be found, mark the place as “unmapped”!

My results for the entire OSM planet can be found under the following webpage.

Overall we have more than 440,000 unmapped places in OSM. As you can see in the picture above, most of the places are around Central Africa, Saudi Arabia or China. However, I hope that this analysis helps to complete some of the missing areas or to revise some incorrect map data. Some remarks about “false=positives” or why your village is marked as unmapped? Some possible reasons: Is the used tag for your place correct? Compare the wiki page for further information. Sometimes “hamlet” could be the correct tag value. Are the nearby highways tagged correctly? (OSM wiki)

Amount of unmapped places for each continent:

• Africa 119,084
• Asia 241,833
• Australia 212
• Europe 44,819
• North America 16,464
• Oceania 837
• South America 15,576

Technical Stuff: The OSM data for the analysis is prepared by a custom OSM PBF reader. The webpage, which shows the results, is based on Leaflet 1.0.0-rc1 and the really fast PruneCluster plugin.

*Update*: You’ll find the date of the latest data update in the header -> “(Date: Apr. 9th, 2018)”

Thanks to maɪˈæmɪ Dennis.

The last unmapped places analysis for OpenStreetMap that I conducted is nearly eight months ago. So I figured it was about time to create a new one. You can read in the last blog post how my algorithm exactly works.

However, at the moment (Nov. 4th. 2011) we have (according to the Geofabrik extract) about 597 000 entries in OSM for places that are located within “Europe“. This means we have an overall increase of about 90 000 places within the past eight months. We can separate them into several types with different values:

• City: 1093 (as of March 11th, 2011 it was 1055 ; +3.6%)
• Town: 16213 (as of March 11th, 2011 it was 16106 ; +0.7%)
• Suburb: 29642 (as of March 11th, 2011 it was 24913 ; +19.0%)
• Village: 301638 (as of March 11th, 2011 it was 278691 ; +8.2%)
• Hamlet: 238717 (as of March 11th, 2011 it was 184326 ; 29.5%)
• Isolated dwelling: 9064 (new in my stats)

The results showed that of the total 301638 village entries for Europe in the database, about 154445 (51%) (in March 2011 it was 55%) have not been detected or mapped yet. Further it is possible that the places are tagged incorrectly (e.g. villages vs. hamlet). Anyway, the following figures show the distribution of the values for each country (in different scales).

It is nice to see, that Austria (-688), Czech Republic (-633), France (-1978), Georgia (-721), Germany (-1192), Italy (-926), Poland (-2364), Spain (-1472) and the United Kingdom (-829) were able to reduce their “unmapped places” in a quite solid way. As usual you can find my results as a GPX-overlay here: http://resultmaps.neis-one.org

(Remarks for http://resultmaps.neis-one.org: Not each and every country is available as an overlay. Some countries such as France or Poland showed longer browser loading times to display the GPX-overlays!)

UPDATE: Download the complete GPX-files of this analysis here.

thx @ maɪˈæmɪ Dennis