What I Found When I Went Through My Facebook Location Data

Some visualizations and stats on my facebook location data and the results, well you could say are not very pleasant.

Image Source: www.cpomagazine.com CPO Magazine

For some time Facebook has been allowing users to download the data it has on them, so one curious night I went ahead and downloaded all of my location data that Facebook has.

Screen Capture: Facebook, Download Your Information Page

Facebook allows you to download your data as browser viewable HTML, but that view isn’t really interesting and doesn’t reveal much (as Facebook would probably want 🤷‍♂️). The HTML view just gives you a boring list of coordinates like this.

Screen Capture: Facebook User Location Data

I downloaded the data in JSON which is another of the supported formats and did some basic stats & visualizations.

I have been a Facebook user since 2011 but started using the Facebook app on my phone 3–4 years later. All of the stats and visualizations here are from location data ranging from January 2015–April 2019.

Number of Times Facebook Stored My Location

Facebook accessed and stored my location for a total of 2818 times in the period from start of 2015 to April of 2019 averaging almost 650 times a year, 54 times a month 🙀 or twice every day 😮. When you think about these numbers for a moment, it almost feels like basically being tracked literally all the time!

Stored Locations By Year

Facebook’s location collection seems to be tied with how often your location changes and obviously having your phone’s location turned on is a prerequisite. This graph shows a trend of location entries by each year.

My location data on Facebook by year

The reason for the huge spike in data collection from 2016 to 2017 is maybe due to some change in Facebook’s location collection policy or probably I just bought a good smartphone in 2017 and started having the location turned on all the time on my Android smartphone.

Busiest Location Collection Days

Digging deeper into the data, I went ahead and filtered out the ten days which had the highest location collection frequency. Can you guess how many times at maximum my location got stored on Facebook on any given day?

50, 100? Nope, Two Hundred and Thirty-Eight times!

Top 10 Highest Location Collection Days

Turns out I was traveling on that particular day and was on the road for the most part of my day and Facebook like any worried parent would do, checked on me for 238 times…

What would all of this data look like on a map?

Naturally I wanted to put all of this latitude and longitude data on an actual map to visualize where I have been moving around in all these years!

My location data from Facebook on my hometown’s map

So this above is a visual representation of my location data that Facebook has almost in a 15km radius of my house in my hometown (Lahore, PK). Each blue dot represents one instance of a location captured and stored by Facebook.

For some of the locations marked here I didn’t even remember visiting that area but thanks to Facebook for providing hard evidence I recalled everywhere I’ve been in the past 4 years 🙃

With the location data, timings for each location capture and Facebook’s resources it is very easy to infer any Facebook app user’s home address, workplace, where do they go on weekends regularly, which restaurants they eat at and so on. All of this definitely makes targeting ads easier and of course classifying specific user personas for political and social purposes.

Considering the latest speculation about Facebook launching a dating service of their own, this data could be of a lot more use in 👫 bringing people together”!

So, next time when you meet someone and the next thing is that they start appearing in your ‘Suggested Friends’ list don’t get surprised 😆

You can find detailed analysis on my Facebook data here on Kaggle

https://www.kaggle.com/helahi/facebook-messages-analysis


Thank you for making it through! If you liked what you just read, leave a few claps and also let me know your thoughts on this as well. If you think I should dig in some more into this data to find any other stats or patterns, let me know in the comments!

Also I plan to explore my Facebook data more in terms of apps and websites that have access to my data and a very interesting concept of ‘ads interests’ — a list of interests Facebook has created for each user which actually is the source of the weird ads we see on our timeline. Please give a “follow” if you think you’d be interested in reading that as well.

My twitter, github and personal website if you want to get in touch!