Unemployment in America, Mapped Over Time

Watch the regional changes across the country from 1990 to 2016.
By Nathan Yau  /  Posted to Data Underload  /  Tags:

We often hear about shifting unemployment rate at the national scale. It went up. It went down. It changes month-to-month. But unemployment is very regional, more common in some areas of the country than others. In many areas, unemployment rates remain relatively high despite the decreases in the national average.

The Bureau of Labor Statistics estimates county-level unemployment on a monthly basis. You can also get annual averages that go back to 1990. In the animated map above, I used the datasets to show the shifts over the past few decades.

Watch out for the big shift between 2008 and 2011 — and then the decrease in unemployment leading up to the present.

Of course, this rise and fall is obvious through the national average, shown in the chart below.
 

Unemployment Rate, National Average
 

While the line chart is more succinct, the map shows more complexity and feels more real.

Mapping Irregular Data with Interpolation in R

This is how to make this kind of map with your own data.

Nerd Notes

  • This was largely an excuse to try out the steps that David Sparks outlined to make his election map. BLS provides county estimates, so I interpolate to fill in the gaps and use basic linear transitions between years. As with all smoothing, this method has its advantages and disadvantages.
  • I made the bulk of this video in R.

Learn to visualize your data. Become a member.

Join Today

Membership

This is for people who want to learn to make and design data graphics. Your support goes directly to FlowingData, an independently run site.

What You Get

  • Instant access to tutorials on how to make and design data graphics
  • Source code and files to use with your own data
  • Four-week course on visualization in R
  • Hand-picked links and resources from around the web

Favorites

The Changing American Diet

See what we ate on an average day, for the past several decades.

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

Who is Older and Younger than You

Here’s a chart to show you how long you have until you start to feel your age.