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Comment by codetrotter | Hacker News Reader

> you can get pretty granular on wifi as some ISPs have their IPs as granular as a neighborhood

I’ve heard that this might be the case in some places in the USA. Meanwhile, I have not seen that level of granularity for residential IP addresses in Norway for example.

The MaxMind GeoIP databases include information about how accurate (granular) the location data is for each entry in their db according to https://support.maxmind.com/hc/en-us/articles/4407630607131-...

Has anyone done analysis on the MaxMind GeoIP data to see how the granularity of the data differs between different cities and countries and published anything about that online?

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I'm in the US and my current IP address puts me in an area about 30 miles away currently. However, last year up until a few weeks ago my IP would place me in my current ZIP code (using ipinfo).

My city is comprised of several ZIP codes so you could have figured out where I live within a ~1.5 mile radius.

The granularity may not matter that much though. You can infer a fair bit of data. If you remove mobile network IP addresses, which tend to be quite vague here, you can sort of tell how often someone leaves the house, goes on vacation, or if they visit a friend/family member often.

Meanwhile, working on legitimate GPS requests in an app, my fiber optic ISP has the GPS of my IP about 2 streets up from where I live. I took a stroll and sure enough there's a big ol' grey communications box there.

You know, I'm totally okay with that.

>I'm in the US and my current IP address puts me in an area about 30 miles away currently. However, last year up until a few weeks ago my IP would place me in my current ZIP code (using ipinfo).

>My city is comprised of several ZIP codes so you could have figured out where I live within a ~1.5 mile radius.

How do you know that it accurately knows your location down to the zip code level, and not just that your zip code just happened to match up? After all, a broken clock is right twice a day.

>The granularity may not matter that much though. You can infer a fair bit of data. If you remove mobile network IP addresses, which tend to be quite vague here, you can sort of tell how often someone leaves the house, goes on vacation, or if they visit a friend/family member often.

That might be useful for stalker-ish reasons, but it requires work to implement, and it's unclear why advertisers would care about this sort of stuff. You go to work 9-5 and visit your friends on weekends, how can you turn that into money? "people with a job and friends" isn't exactly a very lucrative marketing demographic.

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