Thanks for the suggestion!

In situations like this, we usually build a script to do the work, document it thoroughly so we can run it in the future, and then put it in https://github.com/openaddresses/openaddresses/tree/master/scripts. We don't have automation to run these scripts at this point, so someone runs the script manually, we post the output data somewhere (we can store it in our S3 bucket) and add a source JSON to this repository to incorporate the data into our overall output.

If you're up for it, can you write a pull request to add the script+documentation? You can upload the output data you have to https://www.dropbox.com/request/rUcmasTnxZkiDR6rJc4l and I will move it over to S3, too.

i could have done this wrong, but does this look right @pheersink

Pretty much what I get so yes it is ok. Coverage is inconsistent but there should be around 16.5 million addresses on the map.
@justinelliotmeyers

Nice, looks like Canada!

@iandees you mean it looks like Canada 'eh!

@pheersink in the past we have collaborated with statcan to fill in gaps. I'd love to explore that option for them as well as ESRI and openaddresses. Little tricky with different municipal legal hoops, but we do this stuff a lot, so not hard, but takes effort. Thoughts about trying to fill in gaps up there 'eh?

I work with @pheersink on some of the address work.

I built a script to download and process the National Address Register data and opened PR #7224 with a script for it. It joins the address and locations files together on the LOC_GUID field and adds the REPPOINT_LATITUDE and REPPOINT_LONGITUDE fields to the addresses, and zips that up. I uploaded the result file to the Dropbox link that @iandees posted above with file canada-nar-combined.csv.gz

Thanks @jwass

The data is available at https://data.openaddresses.io/cache/uploads/iandees/760039/canada-nar-combined.csv.gz