OSM DataHub (ohsome)
ohsome is an OSM analytics platform for understanding how OpenStreetMap data has evolved over time in any area — useful for data quality assessment, contributor analysis, and measuring mapping progress.
Format
JSON (API) / CSV
Geometry
Statistical aggregates
Coverage
Global (any OSM-mapped area)
Resolution
Temporal analysis at user-defined spatial granularity
About this dataset
OSM history analytics platform offering statistical analysis of OpenStreetMap data quality and evolution over time by geographic area.
The ohsome (OpenStreetMap History Analytics) platform by Heidelberg University provides tools and APIs for analyzing the history and quality of OpenStreetMap data over time. Rather than raw data downloads, ohsome offers statistical insights such as building density trends, road network growth, and contributor activity within any user-defined area. It is powered by the OSM history database (OSHDB) and is widely used in OSM quality assurance and research.
How to download
- 1 Open the ohsome platform dashboard to explore OSM data quality and trends.
- 2 Define your area of interest and time range for analysis.
- 3 Use the ohsome API to query statistical metrics such as feature counts, contributor counts, or data density over time.
- 4 Export results as JSON or CSV for further analysis or visualization.
FAQ
Is ohsome for downloading raw OSM data?
No. ohsome provides statistical analysis and aggregated metrics about OSM data over time, not raw feature downloads. For raw data, use Geofabrik, BBBike, or the OSM Planet File.
What kind of analyses can I run with ohsome?
You can analyze feature counts, road density, building coverage, contributor activity, data freshness, and other quality metrics over any time range and geographic area. The API supports filtering by OSM tags for topic-specific analyses.