Navigate Obscurity 2019
In this interactive map you can get a glimpse on how many migrants and refugees are hosted in each country (destination of) and where they are coming from (origin of). The colours of the visualisations are based on population percentages. Use the parameters to switch between destination and origin visualisations, see data for different years, or slice them according to income levels. You can also use the slider (% of population) to exclude ranges of values and focus on the ones you want.
I have removed the Vatican from this visualisation (Holy See), as migration is stuck at 100% there. Also removed a few years’ worth of data from the Caribbean Netherlands for being an extreme outlier (over 300% migration during the 90’s, partly due to a tiny 14 thousand local population).
I was surprised by two things here. One, how most countries end up having a very similar colour shade – meaning they are quite similar in their capacity to produce and absorb migrants. I actually had to introduce multiple colours here because the usual 2 colour spectrum came out too flat. Two, how certain countries spectacularly stand out, like Lebanon, Jordan, Syria, UAE and Kuwait.
And here is a breakdown of the immigrants living in each country. The size indicates larger populations, but you can also check the exact numbers by hovering over them. The colours have been randomly assigned and don’t mean anything – just there for show.
Below you can see my puny attempt to roughly visualise the flow of migration between larger areas (otherwise it gets even more complicated). On the right (or top if you are on a mobile), the first bar chart shows how many people have emigrated from large areas (origin) with the colours indicating where they ended up (destination). The second bar chart shows the opposite – how many immigrants are living in large areas (destination) with the colours indicating where they came from (origin). The circular visualisation shows these flows with the outer bases representing the destination of immigration. Recommended way to figure it all out is to select an area from the bottom of the visualisation (Asia is currently selected), wait for parts of the visualisation to stand out, and then hover over the highlighted areas and inspect the numbers. It is slow, so bear with it.
*Source: United Nations – http://www.un.org/en/development/desa/population/migration/data/index.shtml (retrieved 02/02/2019)
Chord diagram visualisation based on amazing work by Noah Salvaterra – http://www.datablick.com/blog/2015/08/27/diy-chord-diagrams-in-tableau-by-noah-salvaterra