IP Geolocation accuracy
10/6/2022 Daily accuracy report - The Bahamas

Based on ground truth data collected over a 24 hours period ended at Thu, 06 Oct 2022 00:00:00 GMT
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Why and how do we do that?

It is difficult to overestimate the importance of a precise IP address geolocation. Often, it is the only entirely non-intrusive tool available to indicate where our online customers/visitors are coming from and learn how we can serve them better by catering to their geographical properties.

However, IP geolocation cannot be 100% accurate, and it has its limitations. Some of which we've described in our How accurate can IP Geolocation get? blog post.

Moreover, estimating an overall IP Geolocation accuracy is a complex problem. We have to put it up to test against a massive range of IP addresses with diverse locations, sources, and providers to comprehensively test the accuracy. Ideally, we should try it against our potential customers base, where IP addresses are associated with the real people, just like our visitors are. Typically, this ground-truth reference data is rare and must be harvested thoughtfully.

So, where are we getting our reference data from?

  1. First, we kindly ask our website visitors to share their location with us. You may have noticed it when you visited our What is my IP Address? page.
  2. Then we provide a range of iOS and Android apps, such as App store badge Google play badge . These apps are the best in range and must-have tools for every network professional and enthusiast. We provide these apps for absolutely free and without ads. In exchange and only with the user's consent, we collect location information associated with the public IP address used. 
  3. We also offer a FREE Client-side reverse geocoding APIIt is an industry-first free reverse geocoding and IP Geolocation API without access rate or volume limitations. We only enforce a strict client-side use policy, ensuring that the location requested is likely to reflect the caller's IP address and actual service location.

 

In all cases, BigDataCloud strictly ignores and never collects any data that can potentially link the IP address or location to the actual user. We don't want to know who the end-users are and what they do. We do not spy on them and don't keep any personal related information associated with the IP addresses, even for internal use. We obviously don't sell any of this data, which we don't have.

 

What do we do with the received data?

Whenever an IP address/location pair is received on any collection channels, we instantly carry out the IP Geolocation check against our latest dataset and store the accuracy results. We also perform the same check against the competitive datasets and automatically generate a comprehensive report presented below.

Noticeable, the data we collect is perfectly suitable to represent real-life internet users, website visitors, mobile app users and IoT devices around the world. However, it is less likely to include infrastructural segments such as network routers or public websites.

We also go to great lengths to make sure we exclude abusers. However, we allow VPN and other anonymisers, likely in the same way and proportion one would expect from the traffic hitting a random website or another public service. 

Often, we're getting several location samples for the same IP address, for example, when the user is on the move. We take the best hit point accuracy record to report, so it is based on distinct IP addresses regardless of the number of occurrences.

We operate precisely the same algorithm and samples categorisation for all datasets, constantly comparing apples to apples.

The Scope

This report can be customised to represent IP addresses reported from a selected country or territory only. 

IP Address Geolocation Service Providers

We are aiming to include as many IP Geolocation original data vendors as possible. We guarantee that we're making absolutely no use of another provider's data beyond the scope of this report. 

If you are an IP Geolocation provider, please get in touch with us and let us access your data, API access is prefered, and we will happily include it in our automated report. We promise to handle your data with great respect and confidentiality expected. 

Included vendors
adjusted to represent records associated with The Bahamas only
Legend
BDC
Product / website link
Blocks Count*
26,108
Distinct lat/lng locations
556
Dataset
10/5/2022
Legend
IP2Location
Product / website link
Blocks Count*
300
Distinct lat/lng locations
13
Dataset
8/11/2022
Legend
MaxMind GeoLite2
Product / website link
Blocks Count*
285
Distinct lat/lng locations
21
Dataset
10/3/2022
Legend
db-ip
Product / website link
Blocks Count*
347
Distinct lat/lng locations
89
Dataset
10/1/2022
Legend
WhoisXmlApi
Product / website link
Blocks Count*
385
Distinct lat/lng locations
27
Dataset
10/3/2022

* The blocks count field represents the total number of unique records presented in the dataset. This value is generally applicable to flat data sources. However, the BigDataCloud database does not have such a metric available as we get down to a single IP address resolution. Therefore, we offer a total number of network segments detected by the likelihood of serving the same territory and purpose.

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Confidence area accuracy

IP addresses are often deployed to serve a geographical area rather than a particular fixed spot or a device. With BigDataCloud's unique patent-pending technology, you can estimate this area with high accuracy. We call this area a confidence area, and a polygon represents it. Other providers may call it an accuracy radius represented by a circle.

 

The chart below illustrates the accuracy of that area. If the ground-truth location data received lies within the confidence area or the accuracy radius of the IP address, then we call it a hit. Hence, the Hit Ratio is the percentage of location data that have hit within the area.

Confidence area accuracy (The Bahamas)
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Country accuracy

The chart below represents the country estimation accuracy of the IP geolocation data providers.

Country level accuracy (The Bahamas)
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Point accuracy

The point accuracy data represents the actual error in the straight distance detected between the actual location reported to the one estimated by an IP Geolocation.

All networks combined (The Bahamas)
104 distinct IPv4 addresses
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Wired consumers

Wired consumers' chart data primarily represents fixed network installations such as wired WiFi, home and office consumers.

Fixed network detection is a complex issue therefore we must assume that some false-positive cases are included.

Wired consumers (The Bahamas)
79 distinct IPv4 addresses
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Cellular consumers

Cellular consumers classification represents the network IP addresses that were detected as servicing cellular networks.

Cellular consumers (The Bahamas)
24 distinct IPv4 addresses
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Hosting and mixed network consumers

This category represents the IP addresses that were detected as servicing hosting networks, VPNs, proxies and mixed networks. The mixed networks are the network subnets that serve legit customers like cellular users and are also subleased to host some VPN or proxy services.

In addition, this category also usually includes residential proxies.

Hosting and mixed network consumers (The Bahamas)
23 distinct IPv4 addresses
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