Tag Archives: demographics

Indoor Plumbing

Today’s post is a small interactive map—nothing fancy there—about indoor plumbing. As it turns out not every home in the United States has it. Of course, last weekend I ended up driving through those dark counties in western Pennsylvania. And I can believe it. And I can definitely say I saw a few outhouses.

Lack of indoor plumbing in western Pennsylvania

Lack of indoor plumbing in western Pennsylvania

Credit for the piece goes to Christopher Ingraham.

Baseball Nation

Baseball is back. And thankfully the New York Times has mapped out most of Major League Baseball’s fans. The glaring exception is, of course the omission of Canada/Ontario, home to the Toronto Blue Jays. The piece maps the data of Facebook likes down to the zip code and then offers details on a few border regions in particular.

Baseball nation, except Canada

Baseball nation, except Canada

And apparently back home, I am not the only person cheering for Boston.

I go for Boston, but most everyone else here is a Phillies phan

I go for Boston, but most everyone else here is a Phillies phan

Credit for the piece goes to Kevin Quealy, Josh Katz, David Leonhardt, and Tom Giratikanon.

There’s No Diversity in Baseball!

Well, okay, actually there is. But the cultural reference would have made even less sense if I omitted the negative. Anyway, in honour of the two baseball games I am seeing this week—last night’s and tonight’s Red Sox games—here comes this piece from Pew Research Center.

It’s a simple but fairly clear graphic. We are looking at the ethnic breakdown of baseball since 1947, when Jackie Robinson broke the colour barrier. My only qualm, as ever, with this stacked area chart is that while you can see the clear trend upward in white share, it is a bit more difficult to see the directions the other ethnicities are moving.

Diversity in baseball

Diversity in baseball

Credit for the piece goes to Pew Research Council.

Comparing Urban Statistics

Sometimes when you are considering moving, you want to look at some broad statistics on the area in which you want to move. In Boston, the Boston Globe has put together a neat little application that does just that. Type in two settlements in the metro area and then get a quick comparison of the two.

Comparing Boston metro cities

Comparing Boston metro cities

Credit for the piece goes to Catherine Cloutier, Andrew Tran, Russell Goldenberg, Corinne Winthrop.

Chicago’s Disappearing Middle Class

President Obama has made a big deal recently about income inequality. The story in short is that the rich in the country are getting rich; the poor are getting poorer; and the people in the middle are fewer in number. Here in Chicago, this has meant that over the last few decades, many of the former middle-class neighbourhoods have been gutted of, well, the middle class. Daniel Kay Hertz has created a series of maps to show just how drastic the change has been since 1970.

Chicago's disappearing middle class

Chicago’s disappearing middle class

Credit for the piece goes to Daniel Kay Hertz.

Smoking in the US

Today’s piece comes from the New York Times. It fits within a broader article about smoking in the United States. The map is a choropleth that compares the smoking rate across counties and states in 1996 and 2012. However, as the article talks about how difficult it has been to decrease the smoking rates among the poor, I wonder if even just a third map would be useful. This map could have shown the actual decline, perhaps in percentage points, of counties between 1996 and 2012. Or another related graphic could have tried to correlate income and said change.

Map of Smoking in 2012

Map of Smoking in 2012

Credit for the piece goes to the New York Times graphics department.

Income vs. Life Expectancy

Today’s post comes via the New York Times. It’s a simple concept, but shown clearly in this collection of scatter plots. Growth in income for many counties has meant a growth in life expectancy. Unfortunately, not all counties are prospering and so the gap between rich and poor, and therefore the long-lived and shorter-lived, has grown.

Household income vs. life expectancy for men

Household income vs. life expectancy for men

Perhaps the only criticism I have about this piece is that for the highlighting of Fairfax County, Virginia and McDowell Country, West Virginia, an additional component could have summarised the growing gap between the two. For example, a bar chart along the axes of each could measure the growth in income disparity and the growth in life expectancy disparity.

Credit for the piece goes to Alicia Parlapiano.

Answering Some More Questions About Ukraine

So Ukraine is even more of a mess and in less than a week’s time, the Crimean people will vote in a referendum on whether they want to remain a part of Ukraine or rejoin Russia. This graphic of mine is an attempt to answer some questions—though hardly all I wanted—about Ukraine, Crimea, and about what the Russians have been doing. (To be fair, the Russians still don’t admit that the troops and soldiers are theirs. But really, I mean come on, we all know they are.)

Why Crimea?

Why Crimea?