(Joint with Nathan Lauster and cross-posted at HomeFreeSociology)
Wealth and income are different things. Wealth is measured in terms of assets minus debts at any given point in time. It can accumulate or deplete over a lifetime and across generations. By contrast, income represents some variation of how much money one makes over a given time period (usually a year). Most people get this on some level. But since both income and wealth deal with people and their money, the terms are also often used interchangeably.
To help deal with the response effort in the recent Newfoundland and Labrador show storm, StatCan created vulnerability maps of the most affected areas. It’s great to see StatCan putting their data to use. After seeing this fly by on twitter and then flagged by Simon on Linkedin I had some thoughts on this that might be worth a quick blog post.
I am biased in how I think of these kind of disaster response maps via the tools that I have developed for working with StatCan census data, namely CensusMapper interactive mapping platform and the the cancensus R package.
It’s been over two years now since the news media reported on John Rose claiming that Vancouver has a surplus of housing and Rose shared his Working Paper, Version 1 detailing his claims of some mythical oversupply of housing in Vancouver.
We have written about this on several occasions, but we were missing a piece of data that can greatly simplify our arguments: Cross-tabulations of structural type by document type (whether a dwelling was occupied by usual residents, or occupied by temporarily present persons, or unoccupied) for the censuses 2001-2016.
Cities like Vancouver and Toronto talk a lot about unoccupied dwellings. We have a whole category for empty homes themed posts on this blog. Do we need one more? Probably not, except that we were able to open up an empty-homes related cross-tabulation that we needed through current work for CMHC. Yay, and big thanks to CMHC for making this available to the general public. Open data FTW!
Possibly more useful is the classification of the entire building stock by structural type that this data contains, when in the past many have used the classification of the stock occupied by usual residents as a proxy that comes with the standard release census data.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology)
More results from the new Canadian Housing Survey dropped earlier this week! And they provide new insights into why Canadians move.
Last time we only got provincial results. Now we can break down reasons for the last move by metro area and current tenure, but this time around we looking at the last move no matter when it happend, as opposed to only considering moves in the past five years as in the previous data release.
