Aaron Licker asked a good question about this very interesting dataset. twitter-verse where is the data that forms this amazing table from @CMHC_ca: cc @vb_jens @LausterNa @rwittstock pic.twitter.com/iRD65KQdz3 — Aaron Licker (@LGeospatial) November 28, 2018 Unfortunately it is not obvious where to get the raw data, but Keith Stewart at the Vancouver CMHC office was kind enough the share the dataset. So read on to follow my quick look at the data, or just download it if you want to tinker yourself.
Today the new CMHC Rental Market Survey data came out, which is a good opportunity to refine my musings on the rental vacancy rate and rent increases. I view this as the renter version of the relationship between months of inventory and changes in resale prices in the for sale market. CMHC surveys purpose-built (market) rental apartments every October and reports on a variety of metrics, including statistics about the total stock, median and average rents, vacancy rates, and fixed-sample average rent change among others.
When trying to understand the income makeup of regions in Canada we need to take the income distribution and simplify in a way that is accessible. This is no easy task. Simplification is an essential part of this, but we need to take care not to over-simplify but instead still retain the essential parts. How to measure income? To start we have to select an income measure. Partially this is constrained by data availability, but there are choices.
Now three people have asked me about the purported explosion of Canadians 18 and over in Downtown Vancouver, and in particular the claim that eligible voters in the Downtown and West End grew by a combined 70%. And I had to explain three times that while that population grew strongly, it grew by much less than reported. In fact, the number of Canadian citizens 18 years and older in the downtown peninsula only grew by 17.
The other day the New Your Times did a really fun story on buildings in the US, and I was chatting about that with someone at the VPL last night. Which reminded me that I wanted to replicate that for Vancouver. So here we go. There are several datasets for building data, and we have worked quite a bit with the City of Vancouver LIDAR generated data of 2009. We have mapped this on several occasions in the past, for example to show building heights, or just residential buildings to map building values, and have used the building heights data in Vancouver and Toronto to make building heights profiles by distance from downtown.