Fix Mexico address issues with our latest update
How to improve customer experience with address autocomplete, Mexico ZIP code data restructured around Correos de México, Monthly changes and Victorian mail sorters: Delivery without postal codes.
👋 Hi there! In this edition of The Geodata Insider, you will learn how to improve customer experience and boost conversions with accurate data for address autocomplete.
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2:30 minute read
📈 Mexico ZIP code data restructured around Correos de México
🗺️ How to improve customer experience with address autocomplete
🔎 Monthly changes
🌊 Victorian mail sorters: Delivery without postal codes |
Mexico ZIP code data restructured around the official source of Correos de México
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Mexico has long presented a challenge, as non-unique postal codes, frequent updates, and inconsistent address formats make it difficult to obtain reliable data.
We've enhanced our Mexico ZIP code database to achieve deeper structural alignment with Correos de México.
This delivers improved consistency and usability, making integration smoother and more reliable for your applications.
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How to improve customer experience with address autocomplete |
Learn how to select the right data source, overcome integration challenges, and optimize customer experience.
This comprehensive guide includes real-world implementation examples to help you avoid common pitfalls.
Read the full guide →
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In June, we updated 54,870 rows in our postal database.
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Full Postal & Street updates |
Postal database patches
(small changes) |
Paraguay (Names with accents),
Ukraine (Administrative divisions)
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Postal boundary patches (small changes) |
Victorian mail sorters: Delivery without postal codes |
It’s hard to imagine postal deliveries without postal systems or automated sorting hubs. Back in Victorian times, the mail system relied entirely on human skill, and some of it was impressive. |
Postal clerks worked with wooden sorting frames holding up to 48 boxes.
And get this: some could sort up to 30 letters per minute, all based on memory.
That’s 1,800 letters an hour, without a postal code in sight.
They trained for months, memorising thousands of delivery routes to keep the system running smoothly.
This level of precision helped build the foundation for today’s location-based sorting. |
While we’ve come a long way, it’s fun to look back and appreciate the brainpower that came before the algorithms. Follow us on LinkedIn for more geographical facts like this! |
Kind regards,
Jerome & the GeoPostcodes team
PS: Interested in previous Monthly Product Updates? Read here. |
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