• It's one of those things that sounds trivially easy until you start trying to do it.

    You could set it to remove subsets, but then you end up with Address2 = "No 6", and you end up deleting "No" out of "1234 North Main St" in Address1, so you end up with "1234 rth Main St".

    How important is this to the business you work for/with? In the US (that doesn't look like a US address, but I didn't check), you can buy software that will clean up addresses for you. It's called "CASSing", and the vendors have to be "PAVE Certified" by the USPS. Canada has a similar system available from various vendors. I believe so do most of the European countries. I haven't checked Latin American countries for that kind of thing (the address looks like it might be LATAM or Spain is why I mention those).

    If address validation and clean-up matters, I'd look into getting something like that. You can Bing/Google the companies that provide it. If you go that route (assuming it's available for this address' local), it'll clean those kinds of things up for you, and help you identify the ones that it can't auto-clean. Very efficient.

    Addresses, like human names, are a lot trickier to clean up than they look at first glance.

    - Gus "GSquared", RSVP, OODA, MAP, NMVP, FAQ, SAT, SQL, DNA, RNA, UOI, IOU, AM, PM, AD, BC, BCE, USA, UN, CF, ROFL, LOL, ETC
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