As much as I like trains…we need to get back to Trumpcare. As you probably know, it will cover fewer people than Obamacare. Just how many fewer people? Somewhere in the ten to twenty million range. The poor, the elderly, and the sick are those who will be worse off. Because the poor, the elderly, and the sick are the ones who clearly do not need healthcare. Higher-income young people, your subsidies are about to go up.
But I digress, the Los Angeles Times looked at county electoral and tax data to see just where the pain falls geographically, and more importantly where it falls politically. So they took a look specifically at the bracket that will be hurt the most: the poor and elderly, 60 and earning $30,000.
Well, it looks like all those people who voted against the idea of Obamacare just voted themselves to get even less assistance. Trumpcare’s going to be great, guys. Unless you’re old. Or poor. Or sick.
We are going to have a busy week this week. From the CBO release on Trumpcare costs and coverage to the elections in the Netherlands. Oh, and it might snow a wee bit here in Philadelphia and the East Coast. So let’s dive straight into today’s post, an article all the way from the West Coast and the LA Times.
It looks at a comparison between Trumpcare and Obamacare.
The clearest takeaway is that they are using some pretty good colours here. Because purple.
But in all seriousness, the takeaway from this graphic is that Trumpcare as proposed will cost more for the poor and the elderly. And it will cost especially more for those who live in rural and more isolated areas. And that basically comes down to the fact that Trumpcare will not factor in the local cost of insurance, which generally costs more in non-urban areas.
But for the fullest understanding of the differences, you should read the full piece as it offers a point-by-point comparison.
Credit for the piece goes to Noam N. Levey and Kyle Kim.
Well, so about that whole Michael Flynn furore thing I wrote about yesterday…. Time to add another name to the list of people to be appointed—as I said, that post isn’t confirmed, merely appointed.
But today is Valentine’s Day. So for all you lovebirds out there, here are some graphics showing how rate of marriages has declined in the United States.
It does a real nice job of presenting the overall national view, but then breaking that down into a state-by-state comparison over time, the small multiples shown below.
My critique would be the labelling. Note how the state label appears above the chart, but how when stacked in a row, the label for the state below appears far closer to the chart above. The first few times I looked at this, I saw the label for the chart as being below. And I was therefore curious why Kansas was so different from the rest of the plains state. It just goes to show you how important spacing and layout can be on the page.
Well, we are one day away now. And I’ve been saving this piece from the New York Times for today. They call it simply 2016 in Charts, but parts of it look further back while other parts try to look ahead to new policies. But all of it is well done.
I chose the below set of bar charts depicting deaths by terrorism to show how well the designers paid attention to their content and its placement. Look how the scale for each chart matches up so that the total can fit neatly to the left, along with the totals for the United States, Canada, and the EU. What it goes to show you is best summarised by the author, whom I quote “those 63 [American] deaths, while tragic, are about the same as the number of Americans killed annually by lawn mowers.”
I propose a War on Lawn Mowers.
The rest of the piece goes on to talk about the economy—it’s doing well; healthcare—not perfect, but reasonably well; stock market—also well; proposed tax cuts—good for the already wealthy; proposed spending—bad for public debt; and other things.
The commonality is that the charts work really well for communicating the stories. And it does all through a simple, limited, and consistent palette.
I stumbled upon this article last night on philly.curbed.com that takes a look at the growth and slowdown in said growth in Philadelphia. For the purposes of this blog, that included an animated .gif that showed the expansion in the metro area since the 1940s.
My quibble with the piece is that the lighter blue loses out to the darker. And so one really sees the presence of the city at the expense of the growth. I wonder if reversing the two colours or in some other way de-emphasising the areas built up would allow the new growth areas to come to the forefront of the map.
Alternatively known as the zombie food map. Sorry, but I couldn’t resist that one. Today we look at a piece from Bloomberg that maps brain drain across the country. What is brain drain? Basically it is the exodus of people with advanced degrees and education employed in science-y industries and fields. So this map shows us where the brains are moving from and where they are moving to.
Credit for the piece goes to Vincent Del Giudice and Wei Lu.
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.
Today’s post is a choropleth map from the Washington Post examining diversity in the United States and how fast or slow diversity is expanding. Normally with two variables one goes instantly to the scatter plot. But here the Post explored the two variables geographically. And it holds up.
The colours are perhaps the only part holding me up on the piece’s design. Are blue and yellow the best two colours to represent level of diversity and growth? I lose some of the gradation in the yellows, especially between the big increases in diversity. Can I offer a better solution? No, and maybe there is not. But I would love the chance to explore different palette options.
As you well know, I am not a big fan of always plotting things on maps. I call them the silver bullet. However, in this instance, there are clear geographic patterns to the four different scenarios. Of course this soon after the election I would love adding a third variable: how the counties voted in the presidential election. Maybe next time.
Credit for the piece goes to Dan Keating and Laris Karklis.
So following on from my Wednesday post, let’s take another look at the “problem” of Mexican immigration. Because as these graphics from the Pew Research Center show, it’s not really a problem these days.
Instead, immigration is down.
Credit for the piece goes to the Pew Research Center graphics department.
I was not sure if I wanted to file this under either my humourous Friday posts or my regular weekday posts, but I ultimately decided to go with the weekly postings. Why?
It’s simply a different way of visualising the election results, by separating the two camps into two separate Americas. One is the geography connected by Trump’s victory, the other are those disconnected cities and geographies united around Clinton. A collection of almost Greek-like city states.
And what I can say as someone who often drove from the Chicago Sea to the Acela Channel, the United States is very much divided by economics and by culture. But in theory that is the great advantage of the pluralist, multicultural society—it allows for all people of all different types to cohabit an entire continent. Well, in theory at least.