Lynchburg, Virginia: The Most Typical City in America

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Creating Context for Cities

Data is nothing without context. How can we understand a city without first understanding the characteristics of a normal or typical city? I crunched the numbers on eight measures of 917 cities to learn what constitutes a typical city in America. Here’s what I found.


Population; population density; median age; median income; poverty rate; commuting by car; high school graduates; postgraduate degrees. Of course, this is something of an arbitrary selection of metrics. The American Community Survey (the source of this data, vintage 2015) provides over 1,200 tables of measures of cities alone. Each table has one to dozens of different measures. Consider, too, the hundreds, if not thousands of other data sources, public and private, that could provide data germane to understanding a “typical” city. Let’s accept that, while we could spend a lifetime investigating the makeup of a typical city, these eight measures are, at the very least, a good start.

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How to Sell the Smart City

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To find out more, visit the Nominet survey here.

I am intrigued by the potential that connectivity and sensors can offer municipal governments. There are lots of opportunities to make cities more efficient, and there is also a tremendous amount of data that could really upset the status quo (The deep dive on Palantir’s work in New York City is a good example of this.)

Cities also represent a messy environment to sell systems. The buyers are very cost-conscious and may not be as sophisticated about data rights and ownership as other customers, and there are usually many competing organizations involved in a system installed at scale.

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