Skip to main content

Election Results with Census Data

I normally focus on Higher Education data on this blog, and in fact, this visualization started out as a higher education post: I wanted to look at presidential election results from 2012 to see if education played a part in how people voted.  But since I had a large census file anyway, with lots of interesting information like income, ethnic groups, and other data, I decided to take it one step farther.  OK, may steps farther.  And to me, almost everything is ultimately about education.

If you don't like to interact with these visualizations, stop right now.  You'll have to play with this to see how it works.

On the top view, you see every county as a dot, color-coded by region, and arranged on a grid.  Hover over any dot for details, if you'd like.  Counties voting more heavily for Obama are on the right; Romney counties are on the left.  Wealthier counties are on top (higher median family income), and poorer are at the bottom.  Note the reference line at $53,046, the national median.

If you want to look at a specific state or region, you can do that using the filters.  But you can also look only at counties that meet certain demographic criteria, of your choice.

For instance, you could find counties that are at least 15% Hispanic and where at least 10% of the adults have a Bachelor's degree.  Once you apply the filters, only the counties that meet those criteria are displayed.  Use filters in an combination.  (Of course, you can't find any county that's 51% White and 51% African-American; the filters aren't magic.)

The data also shows up on the map at bottom; it's pretty self-explanatory: Each county is colored blue (Obama won) or orange (Romney won.)

As always, the reset button is at bottom.

I find this very interesting, and I hope you do too.  And I hope you vote in November; I need you for my next visualization!


Comments

Popular posts from this blog

The Highly Rejective Colleges

If you're not following Akil Bello on Twitter, you should be.  His timeline is filled with great insights about standardized testing, and he takes great effort to point out racism (both subtle and not-so-subtle) in higher education, all while throwing in references to the Knicks and his daughter Enid, making the experience interesting, compelling, and sometimes, fun. Recently, he created the term " highly rejective colleges " as a more apt description for what are otherwise called "highly selective colleges."  As I've said before, a college that admits 15% of applicants really has a rejections office, not an admissions office.  The term appears to have taken off on Twitter, and I hope it will stick. So I took a look at the highly rejectives (really, that's all I'm going to call them from now on) and found some interesting patterns in the data. Take a look:  The 1,132 four-year, private colleges and universities with admissions data in IPEDS are incl

On Rankings, 1911, and Economic Mobility

If you're alive today, you have lived your whole life with college rankings.  Yes, even you.  You may not have knows you were living in the time of college rankings, but indeed, you have been, unless you were born before 1911 (or maybe earlier.)  If you're interested, you can read this Twitter thread from 2020 where I discuss them and include snippets of those 1911 rankings as well as those from 1957, written by Chesley Manly. You can read for yourself, or you can trust me, that in fact the rankings as we know them have been surprisingly consistent over time, and most people would have only minor quibbles with the ratings from 1911.  Perhaps that's because they have always tended to measure the same thing. But what if we did different rankings?  No, not like the Princeton Review where they make an attempt to measure best party school, or best cafeteria food, or worst social life.  Something more quantifiable and concrete, although still, admittedly, a hard thing to get rig

Freshman Migration, 1986 to 2020

(Note: I discovered that in IPEDS, Penn State Main Campus now reports with "The Pennsylvania State University" as one system.  So when you'd look at things over time, Penn State would have data until 2018, and then The Penn....etc would show up in 2020.  I found out Penn State main campus still reports its own data on the website, so I went there, and edited the IPEDS data by hand.  So if you noticed that error, it should be corrected now, but I'm not sure what I'll do in years going forward.) Freshman migration to and from the states is always a favorite visualization of mine, both because I find it a compelling and interesting topic, and because I had a few breakthroughs with calculated variables the first time I tried to do it. If you're a loyal reader, you know what this shows: The number of freshman and their movement between the states.  And if you're a loyal viewer and you use this for your work in your business, please consider supporting the costs