Exploring SimplyMap Data: Walking to Work in the US
In this quick SimplyMap report, we use Census data to help us identify which city in the United States has the highest percentage of residents who reported walking to work as their mode of transportation. Have any cities in mind? Let’s find out!
First, click New Ranking from the top of your SimplyMap screen.
For the variable, follow this path: Census Data » People and Households » Employment » Travel to Work » Mode.
The variable we are looking for is, “% Employment, Walked to Work, 2014”. Picture below for reference.
Click on the Locations panel and select USA as your geography. By default, your report will generate with the Analyze Data By dropdown set to USA. As a good reference point, the USA shows a total of 2.78% of residents who walk to work. Before we analyze the US by city, let’s take a quick look at the US analyzed by top 10 states:
DC coming in with the highest percentage of residents who walk to work, at 12.27%, does not seem too surprising given the relative small land area and highly dense population (over 10,000 people per square mile!). Ranked second, Alaska was surprising to us, and we would be interested in researching more about that - if you know why, feel free to leave a comment below.
Now let’s look at large cities. Switch the Analyze Data By dropdown to Cities and apply a filter to only show cities with a population greater than 100,000. Results are shown below:
At 26.37%, more than a quarter of Cambridge, MA residents walk to work! We think this might be due to Harvard and MIT being the top employers in the city and within such close proximity to each other.
Honorable mention, and rounding out the top 5:
Berkeley - 17.97%
Boston - 15.45%
Ann Arbor - 14.93%
Provo - 13.66%
That’s it for this week’s SimplyMap report. If there is a particular variable or data package you want to see more of, let us know in the comments below or send us an email or tweet.
More from SimplyAnalytics
Posted on Mar 10, 2011 by Admin
The GRI team is looking forward to exhibiting at ACRL 2011 at the PA Convention Center in Philadelphia, March 30 - April 1, 2011. Every other year, ACRL offers its premier professional d...
Posted on May 23, 2019 by Admin
Come visit the SimplyAnalytics team at the Special Library Association's Annual Conference in Cleveland. Special librarians and other information professionals come together at SLA’s annu...
Posted on Sep 08, 2016 by Admin
One of our favorite uses of SimplyMap is to find data that validates our general assumptions and observations. For example, in a previous blog we wrote about the growth of tablet ownershi...
Posted on Aug 20, 2015 by Admin
Is there a specific age group and income bracket you are specifically interested in researching for a target location? Our Life Stages module has the information you need. Life Stages, by...
Posted on May 02, 2016 by Admin
Inspired by a recent support desk question, this week’s SimplyMap report will demonstrate how a user would run a business search that consists of multiple names. In short, the user was at...
Posted on Oct 29, 2015 by Admin
Did you know that SimplyMap allows you to search for businesses by NAICS or SIC codes? Searching by these codes is a great alternative to the general keyword search. Using the keyword sea...
Posted on May 06, 2016 by Admin
Visit us at booth #775 at the ALA 2016 annual conference to meet the SimplyMap team and learn more about the features and functions behind SimplyMap. Have a Ghirardelli Chocolate while we...
Posted on Jan 16, 2026 by Admin
We are excited to be exhibiting at the Public Library Association (PLA) 2026 Conference in Minneapolis this April 1-3!
Posted on Nov 20, 2015 by Admin
In a previous blog we demonstrated the power of utilizing multiple years for the same variable. We found that the usage of Amazon.com had grown substationally from 2008-2014. In this week...
Posted on Sep 15, 2016 by Admin
While creating a radius location is the fastest and easiest method for creating a custom location, there may be situations that require a more specific and targeted locale. Let’s say for ...



