There is a LOT of TIGER data, most of it still not even glanced at. And each TIGER road comes with a bunch of metadata tags.
Taginfo has the following statistics on common TIGER tags (as of Oct 6 2018):
In the OSM XML format, each tag is structured like so:
<tag k="KEY" v="VALUE"/>
where KEY and VALUE are the key/value pair for the tag of course. For example, a simple highway tagged with highway=residential + name=Cole Mill Road + surface=asphalt is:
highway=residential + name=Cole Mill Road + surface=asphalt
Excluding all other metadata and node references needed to make an actual way this comes out to 119 bytes, with 34, 34, and 30 bytes for each tag.
Applying this to all of the above TIGER tags, total sizes come out as follows.
That all adds up to over 4 GB of data, just from extraneous import tags (I’ll bet NHD imports are even larger … oh boy).
With the current planet.osm (uncompressed) sitting at around 960 GB, all these TIGER tags make up a whopping 0.42% of all OpenStreetMap data! Wow such large.
This doesn’t really conclude much, but it was a fun experiment. I had expected the number to be much larger, but even the vastness of TIGER doesn’t compare to the rest of the world.
Still, most TIGER data is misaligned, low-resolution, incorrectly classified, inconsistent and straight up wrong.
Help us cut down on bad TIGER data!
The City of Raleigh, NC has also released data on ArcGIS. http://data-ral.opendata.arcgis.com/datasets
I recently discovered the Durham County Open Data site. Licensed under ODbL 1.0, it is a large collection of various data sources from election result data to bike racks. Some of the datasets are a few years old but most of it seems up-to-date.
Hopefully someone will be able to use this; enjoy!
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