Comments (2)
We are using the GeoNames database for postal codes. From their readme, http://download.geonames.org/export/zip/
For many countries lat/lng are determined with an algorithm that searches the place names in the main geonames database
using administrative divisions and numerical vicinity of the postal codes as factors in the disambiguation of place names.
For postal codes and place name for which no corresponding toponym in the main geonames database could be found an average
lat/lng of 'neighbouring' postal codes is calculated.
it also lists the 3 codes you mentioned. From an earlier forum post,
Accuracy is an integer, the higher the better :
1 : estimated as average from numerically neighboring postal codes
3 : same postal code, other name
4 : place name from geonames db
6 : postal code area centroid
maybe asking on the Geonames mailing list would help getting more information as well.
from pgeocode.
As mentioned
Accuracy seems to describe where the values have been taken rather than the accuracy of the coordinated for postal code.
Can you @rth please give more details on the same and order according to the more precise and accurate values which can be used for query_postal_code
from pgeocode.
Related Issues (20)
- Inconsistency in "country code" column name HOT 5
- Throwing HTTP 404 error HOT 8
- Add a fallback data source when https://download.geonames.org/export/zip/{country}.zip fails HOT 3
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- Pgeocode | HTTPError: HTTP Error 404: Not Found HOT 4
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- Include a requirements.txt HOT 2
- Slow performance for Portugal (PT) HOT 1
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- How can i convert different country code? HOT 2
- country code DZ is not responding HOT 1
- Please Update Countries HOT 1
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- ValueError: country=NL_FULL is not a known country code. See the README for a list of supported countries HOT 1
- KeyError: "There is no item named 'DE.txt' in the archive"
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from pgeocode.