To understand the future of real estate, it’s important to understand it’s past. This usually means lots and lots of graphs and charts. Here I’ve used Google Doc’s Motion Charts (ex. Gapminder) to show some metrics for three cities: Edmonton, Calgary and Toronto. It’s broken down by year, and the metrics are average price, GDP and population. Push play and see what happens. (You can see the full screen version here)
The housing price data is taken from each cities respective real estate board, and I had values for every year. The GDP and population data were taken from a number of sources, both direct (e.g. Statistics Canada) and anecdotal. I didn’t have values for every year, so the motion of the chart is a little jerky. If you look at the underlying data, I’ve bolded the original data, and the filled values are below that.
Hans Roslings’ presentation at TED here is one of the best uses of a motion chart I’ve ever seen.
Please let me know what other metrics we should add to the graphs.