I am looking for comprehensive address data (incl. house numbers) for Germany. Is there some kind of government agency that provides free downloads?

I know that the BEV (Bundesamt für Eich- und Vermessungswesen) provides this service for Austria.

Are other countries also that generous with their data?

As mentioned. I am particularly interested in a dataset for Germany, but also information about other countries.

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    I’m voting to close this question because this topic is a part of Open Data SE, and I would like it to be migrated – Taras Sep 8 '20 at 11:38

I don't know whether this a desired answer but OpenStreetMap has a very good record for Germany! You can use nominatim in prob. 90% of your addresses and it will result in a coordinate based on house numbers!

This plugin is deprecated! There is also a plugin for QGIS called OSMroute which can be used for this purpose!

When it comes to official data I would search on the open data portal for Germany.

I've seen data for:

and probably some more. But there seems to be no open single point of truth.

Another possibility is to pay for the data. GfK will sell it for sure.

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    Thanks for the reply, but I currently use OSM and it is only good enough down to the street level. House numbers are missing in most remote areas. – Chris Feb 10 '16 at 14:43
  • as you said: most remote areas... when it comes do dense areas it is well covered. But I think you hit a pain point in German federalism: The data is distributed and not stored in a single database – Riccardo Feb 10 '16 at 14:51
  • @Chris I altered my answer and added a link to a data portal. – Riccardo Feb 10 '16 at 14:57

For Europe I may suggest investigating INSPIRE's Addresses resource:


For Germany check ESRI's source for addresses:


For Saxony (Free State of Saxony) in Germany, a list with addresses in zip-format can be downloaded from here:


The inside of the archive includes the following files:


A file with addresses "adressen.txt" looks as following:


More about the structure of txt-file with house coordinates can be found in the PDF document attached below.

Columns (#12 and #13) that represent coordinates are projected in EPSG:25833.


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