You may recall a few weeks ago there was a hurricane named Florence that slammed into the Carolina before stalling and dumping voluminous amounts of rain that inundated inland communities in addition to the damage by the storm surge in the coastal communities. At the time I wrote about a New York Times piece that explored housing density in coastal areas, specifically around the Florence impact area.
Well today the New York Times has a print graphic about something similar. It uses the same colours and styles, but swaps in a different data set and then uses a small multiple setup to include the Florida Panhandle. Of course the Florida Panhandle was just struck by Hurricane Michael, a Category 4 storm when it made landfall.
This one instead looks at median income per zip code to highlight the disparity between those living directly on the coast and those inland. In these two most recent landfall areas, the reader can clearly see that the zip codes along the coast have far greater incomes and, by proxy, wealth than those just a few zip codes further inland.
The problem is that rebuilding lives, communities, and infrastructure not only takes time, but also money. And with lower incomes, some of the hardest hit areas over the past several weeks could have a very difficult time recovering.
Regardless, the recoveries on the continental mainlands of the Carolinas and Florida will likely be far quicker and more comprehensive than they have been thus far for Puerto Rico.
The only downside with this graphic is the registration shift, which is why the graphic appears fuzzy as colours are ever so slightly offset whereas the single ink black text in the upper right looks clear and crisp.
Credit for the piece goes to the New York Times graphics department.
Even the Washington Post admits there sort of is no such thing, because standards vary across the world. But broadly speaking, you have enough for the essentials and then a little extra to spend discretionarily. The concept really allows us to instead benchmark global progress in development. Regardless, yesterday the Post published a calculator that allows you to compare household income across the world to that global middle class.
The catch, however, is that income is priced in US dollars, which is the currency of very few countries. But thankfully, the Post gives the methodology behind the calculator at the end of the piece so you can understand that and the other little quirks, like rural vs. urban China.
From a design standpoint, there is not much to quibble with. I probably would not have opted for red vs. green to showcase global middle and global lower-than-middle class. But the concept certainly works.
Credit for the piece goes to Leslie Shapiro and Heather Long.
Last week I covered a lot of Red Sox data. And your feedback has been fantastic. I think you can look forward to more visualisation of sportsball data. But since this is not a sports blog, let us dive back into some other topics. Like today’s piece on economic growth.
It comes from the Economist and explores the development history of national economies relative to that of the United States. The point of the chart was to illustrate what the researchers determined was the middle income trap, a space in which countries develop and become semi-rich, but then can never quite escape.
The Economist makes the point that the definition of middle income matters. The range is enormous and one statistic says that it could take 48 years to graduate at a healthy rate of economic growth. I wonder is this bit, however, could also have been charted. The show don’t tell mantra works well here for setting up the problem, but a chart or two showing that exact range could have supplemented the text and perhaps made it more digestible.
Credit for the piece goes to the Economist Data Team.
On the lighter side of things we have today’s post on income inequality. Always a lighter subject, no? Thanks to Jonathan Fairman for the link.
Herwig Scherabon designed the Atlas of Gentrification as a project at the Glasgow School of Art and it was picked up by Creative Review. It displays income as height and so creates a new cityscape of skyscrapers for the wealthy and leaves lower income residents looking straight up. His work covered the US cities of New York, Los Angeles, and Chicago. The image below is of Chicago. I probably was living in a cluster of mid-rise buildings despite living in a five-story building.
How much does a gallon of milk cost? That, of course, is one of the classic election questions asked of candidates to see how in touch they are with the common man. But the same can be understood by enquiring whether or not they know how much a gallon of petrol or gasoline costs. And Bloomberg asked that very same question of the United States relative to the rest of the world. And as it turns out, here in the States, fueling our automobiles is, broadly speaking, not as painful as it would be in other countries.
The piece includes the below dot plot, where different countries are plotted on the three different metrics and the dots are colour coded by the country’s geographic region. But as is usually the case with data on geographies, the question of geographic pattern arises. And so the same three metrics presented in the dot plot are also presented on a geographic map. Those three maps are toggled on/off by buttons above the map.
A really nice touch that makes the piece applicable to an audience broader than the United States is the three controls in the upper-right of the dot plot. They allow you to control the date, but more importantly the currency and the volume. For most of the world, petrol is priced in litres in local currencies. And the piece allows the user to switch between gallons and litres and from US dollars to the koruna of the Czech Republic.
Credit for the piece goes to Tom Randall, Alex McIntyre, and Jeremy Scott Diamond.
One of the things that irritates me about when people complain about government spending is the comparison against household budgeting. The two are very different. I mean on the surface, I suppose yes, both have income and both spend on stuff and services. But, to put it all in context there is this nice piece from the Washington Post that shows what US federal government monthly spending looks like from the perspective of a household earning $64k.
I wish I could get away with that level of spending on housing and transportation…
Credit for the piece goes to the Washington Post graphics department.