The Geography of Facebook

July 18th, 2007by Sean Gorman

There have been several interesting blog posts of late on the demographics of Facebook and comparison to the demographics of sites like MySpace and LinkedIn. A few folks have looked at the international growth of Facebook, but I have not to date seen any discussion of the geography of Facebook. We all know it is big, but where is it hottest?

David here at FortiusOne decided to do some investigation and build out a dataset the number of members in the different regional networks on Facebook. When you register on Facebook you can join one regional network for the place you consider home. David tallied up the numbers for all the regional networks and geo-referenced the data set, and the top cities ranked out as such:

1. New York, NY = 273530

2. Chicago, IL = 246759

3. Washington, DC = 210160

4. Boston, MA = 171837

5. Atlanta, GA = 156643

6. Los Angeles, CA = 144718

7. Dallas / Fort Worth, TX = 120602

8. Minneapolis / St. Paul, MN =114404

9. Philadelphia, PA = 112495

10, Detroit, MI = 110704

The fascinating bit of this is how few west coast cities there are on the top ten list - only Los Angeles. The trend is even more striking when mapped out:

The Boston Washington corridor is flaming and Chicago definitely stands out in the midwest. So, why is Facebook not as big on the West Coast? Does the West Coast use other services, are there fewer universities, or are they on to the next new new thing.

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7 Responses to “The Geography of Facebook”

  1. Eric Anondson Says:

    Didn’t Facebook start in an Ivy League school? Harvard I think? That would explain the concentration in the northeast.

    Also interesting is the high placement of the Twin Cities. Something like the 12-15th largest metro showing up as the 8th most represented in facebook.

  2. seagor Says:

    Ya - Zuckerburg was a Harvard student when it started. Fascinating that the geography of the innovation has played such a big role in its diffusion. We are working on normalizing the data by the population of the region, which should highlight the densest Facebook locations. It will be fun to see if anyone trumps the Twin Cities - I’d guess some of the college towns.

  3. Jeremy Says:

    I’m curious how the made was map, and how exactly the data was applied to it. From the map, it would appear that the vast majority of Facebook users are in Kentucky, though I’m not quite sure that’s the case. While I understand the statistical differences between eastern/midwestern cities and western cities, it seems that the map over-dramatizes the gap.

  4. seagor Says:

    Hi Jeremy,

    Good observation and correct. We did an upgrade to GeoCommons on Monday and it effected the mashups. Looks like the search radius on the heatmaps was increased quite a bit causing things to look askew. I went back and fixed the Facebook map so it should more accurately reflect the data. In general the heatmaps use an averaging algorithm , so the further away you zoom the more blurred together things get. Vice versa as you zoom in you get more detail and it becomes less blurry.

  5. amit Says:

    In Canada, it seems that it is everywhere except Quebec

    http://geographyoffacebook.wordpress.com/

  6. martin Says:

    I think more intersting thean normalising the data as a population density, would be a study of linking a persons Facebook friends , With Toblers first law fo geography, “Everything is related to everything else, and near things are more related than distant things”. While the results would appear to be obvoius I would enjoy seeing them plotted and I may attempt to get my classes this year to plot their results for homework or an assessment

  7. Sean Gorman Says:

    Unfortunately the data available from Facebook only has the total number of users in each regional network and not a map of how a users social network maps to this. Back in GMU we played around with writing bots that would scare the social graph and the regional network, but never got around to it. Some of this may be available now through API’s or OpenSocial, but have not looked into at all.

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