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NaPTAN Data quality

Published: 02/10/2025

Data quality in NaPTAN

Improving the quality of data in NaPTAN is a focus of the DfT team.

We are identifying fields in NaPTAN which have serious data quality issues and are working with the ecosystem to identify and resolve these.

This was the focus of the October public meetings – recordings up on our YouTube channel

From these meetings there are three fields that we advise data consumers to ignore, and we will be investigating how to remove these fields from publication.

  1. Modification – this is inconsistently applied by software across the entire LA ecosystem. For example, all of the stops in London are listed as “New”, when some of them have been edited over 700 times since 2005.
  2. Revision Number - this is inconsistently applied by software across the entire LA ecosystem. For example, during the call Central Bedfordshire made an update to a stop, and the revision number did not increment.
  3. Cleardown Code – this technology is no longer used. This field should be empty, as it no longer has any value.