This post was already post on the Fee Fighters blog here: Feefighters blog
According to Paul Graham, startup density is what saves startups in places like Silicon Valley, as it provides:
- An environment that encourages startups
- Chance meetings with helpful people
- A social norm of optimism
Now, the idea that high startup density (a large number of startups relative to your city size), increases your startups’ chances of success isn’t groundbreaking. In fact, the absolute belief in high startup density (HSD) is the reason why a lot of people leave places like Detroit and Cleveland to go to Chicago or San Francisco. HSD is also the same reason why Brad Feld argues that Boulder is such a vibrant entrepreneurial community. The issue is though, that recent data suggests that living in a city with a higher startup density does not necessarily guarantee a higher rate of startup success.”
In order to test out the startup density idea, we used a cool website called Startup Data Trends, made by Bocoup and Atlas Ventures. Startup Data Trends allows you to browse startups from the siteAngelList and learn more about different cities, market segments, average valuations and amounts raised- like a Yahoo Finance for startups. Using Startup Data Trends we can take a data driven look at the idea that startup hubs are the best place to be. (Hint, the data seems to say they aren’t).
In the series of graphs below, we compare the success of startup hubs by using two metrics, as well as compare the startup density using two different measurements. For the success of startup hubs, we used the average valuation and average money raised per startup by city. While, to compare the size of the startup hubs, we used two different measurements: startup density, the number of startups per 100K residents, and the number of total startups per city. We chose the cities that had at least 150 data points for valuations, so places like Boulder didn’t quite qualify (sorry Brad). Now, if Graham and Feld were right and HSD does lead to better startup success, the average valuation and average amount raised would decrease as the startup density goes from higher to lower. However, you don’t see this trend- the success values consistently go up and down, and in no particular order.
Success of Startup Hubs by Startup Density
The following graphs show the success of different startup hubs in terms of average valuation and amount raised by startups, measured against the startup density (startups per 100K residents).
The far left of this graph is not surprising at all, as Silicon Valley has twice the startup density of it’s nearest competitor, Boston. What is relatively surprising though, is how New York City and Chicago rank near the bottom in terms of density. However, it seems many great new startups are coming out of these cities (Tumblr and GroupMe in NYC, Groupon and Grubhub in Chicago to name a few), while the startup density of Chicago and New York City is really decreased by the fact that these are huge cities with other stuff going on.
This is where the data really gets interesting, as the graph doesn’t show the expected answer of higher startup density leading to higher valuation, especially when you don’t count Silicon Valley. Since the cities are ranked from highest startup density to smallest, you might expect the highest valuation on the left and the lowest on the right, however, this is not what you see. For example, Boston and Atlanta have very high startup density, but have relatively lower valuations, while New York City has a relatively high valuation, but a low startup density.
Startup Hub success by Number of Startups in Each City
The following graphs show the success of different startup hubs in terms of average valuation and amount raised by startups, measured against the number of startups per city.
Just to make sure that our measurement of startup density isn’t to blame for the inconclusive evidence, we took a look at the number of startups per city. The top five is as expected though it’s a bit interesting that Boston, a much smaller city, has more startups than Chicago, but I guess that is what happens when you get a high density of top research institutions.
In this last chart you can see the cities in order of most startups to least, and the measurements of success on the two y axises, average valuation and average amount raised. Even when we change the measure of the startup hub from startup density to straight number of startups, you still don’t see the left to right downward slope that Brad Feld and Paul Graham might expect you to see. In fact, the data seems to be very inconsistent and it doesn’t seem to show that having more startups in a city leads to more startup success.
Overall, I agree that having more entrepreneurs around you is awesome, since entrepreneurs are generally fun, intelligent, encouraging people. However, if you take away the fun of an environment of entrepreneurs, the data doesn’t seem to support the idea that higher startup density actually leads to more startup success. So before you pack up your bags and join the flock down the yellow brick road to Silicon Valley, take a minute to consider whether or not you actually need to surround yourself with other startups, because the data seems to suggest your startup success doesn’t necessarily depend on your proximity to other like-minded individuals.