CANSIM
Today StatCan released four more tables of data from the Canadian Housing Survey, all around the concept of Core Housing Need. Core housing need aims to measure housing stress based on affordability, suitability (crowding) and adequacy (disrepair). It applies to all households with shelter-cost-to-income ratio less than 100%, excluding non-family student-lead households, that aren’t able to afford an adequate and suitable home in their region.
We want to give a quick overview what’s in the new data release.
At the end of June StatCan released an interesting census tract level metric, dubbed the D-index, measuring how much the income distribution in each census tract differs from the metro-wide distribution, and we decided to take it for a test drive.
We are a bit of a sucker for this kind of fine-geography index. Condensing our wealth of information into a single number is an interesting exercise that involves lots of attention to detail.
I was browsing the Canadian Perspectives Survey Series 3 on Resuming Economic and Social Activities During COVID-19 and thought that some of the results were interesting. I don’t have time to do a detailed post on this, but thought that others might enjoy a quick series of graphs highlighting some of the result. The survey is only released as microdata, and I have not seen much uptake or reporting other than the high-level results put out by StatCan in The Daily.
Recently we added a cross-tabulation of Structural type by Document type to CensusMapper for mapping and API use, including in our {cancensus} R package. Today we added another datasets to this.
Taxfiler data at the census tract level for tax years 2000 through 2017 Both of these datasets come through a project we are currently doing with CMHC, and we are excited to be able to turn these into open data, free for anyone to use.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology)
Unfortunately, more and more people are dying due to COVID-19. We won’t know the full toll from COVID-19 for quite some time. But we can at least start to get a sense of its impact. One useful way of assessing the impact, of course, is just to plot deaths attributed to COVID-19. This highlights the real loss of human lives associated with outbreaks.
