# Refugee data

At an assembly in the fall at Washington International School had a guest speaker from the organization Free Syria speak to our students about the current crisis. She gave the students more of a background the crisis and referenced data on the amount of refugees. This inspired me to do some research and to encourage a student to do a mathematical paper on the topic.

I looked for the data on the amount of Syrian refugees leaving as well as the amount of refugees that other countries have historically accepted and registered. I found raw data from the World Bank on countries from 1990 to 2014. (If you have not looked at the World Bank’s data, I highly recommend seeing what they have based on topics). In my spare time, I have been sorting the data and looking for trends, as any math teacher would do. Recently I sorted the countries by income level based on the World Bank’s definition and already stated in the data sheet. The graphs of the totals since 1990 of the countries based on income is displayed in the following graph using Excel.

I find it rather surprising that the High Income countries admit fewer refugees than most other countries. When looking at the data of the High Income countries closer, Quartile 1 and median are relatively close.

I made another graph of individual High Income countries: USA, France, Germany, Canada, Sweden, and UK.

With the exception of Germany, most of the graphs gradually increase or decrease. When looking at the graphs of the 5 statistical measures, we can see that Germany’s data influences the standard deviation. For the graph of the USA there is an interesting spike in 2006. What explains that spike in USA’s policy?

I am going to continue to run different statistics in preparation for my grade 9 statistics unit. I am curious what is happening with the Low & Middle Income countries that allows them to admit more refugees.