What's The Most Popular Instagram Filter in Your State?
What filter you use says a lot about you. If you use Moon or Inkwell, you're one of those deep, moody types who likes to make their feed look all cool and artsy with its greyscale-ness, like Harry Styles. And if you use Valencia, you're all about looking natural, but with a touch of summer warmth. Then there's Lo-fi for those people who just want their pics to pop, pop, POP.
If you're wondering which filter defines your state, Canva.com did the important work of looking at the filter and geolocation data for more than 1 million recent Instagram photos to figure out the most popular filter by state. The results are seriously going to shock you. Check it out.
Basically, every state - every. single. one. - uses Clarendon the most. Either this means that every state in the U.S. has freakishly similar taste in selfies, or they're just lazy. Because if you look at your Instagram app, you'll notice that Clarendon is first on the list of filters, which means everyone just taps the first filter and decides it's good enough and not worth looking through the rest.
Once you look at the second most popular filters, some personality starts peeking through for each state though.
As you can see, a large amount of states (16 to be exact) do sometimes work up the strength to make it to the second filter on the list, Gingham. Juno seems to be pretty popular amongst several states for its actual qualities since it's sixth on Insta's filter list, which means folks in 14 states actually go out of their way to choose it.
But if you want to talk about outliers, Nebraska and Arkansas have some real personality. Nebraska is the only state who uses Walden most (outside of Clarendon) and Nebraska has a special place for Sierra in their hearts.
But don't go kicking yourself if you think your state is void of all personality. As it turns out, the entire world (with very few exceptions) is all about Clarendon.
Guess Instagram should start putting their filter options on rotation if we ever want to discover what filters everyone actually likes.
