A quick post on the recent CHSP data release.
One week ago the new batch of CHSP data on ownership of residential properties in British Columbia, Ontario and Nova Scocia came out, and I tweeted some quick graphs. While there has been reporting on some aspect of the numbers in the news a couple of days after, it struck me that this did not really hit all the questions that are on the public mind that the data can address.
Playing with fine geography custom tabulation back to 1971.
After our recent posts on multi-census comparisons I was pointed to a semi-custom tabulation for census timelines back to 1971 for Vancouver and Toronto. That’s data for the 1971, 1981, 1986, 1991, 1996, 2001, 2006 and 2011 censuses on a common 2016 DA geography for the two CMAs. This is really cool, not just that it eliminates the need to tongfen the geographies, but in particular because Statistics Canada does not even haven publicly available geographic boundary files for censuses before 2001.
How do we know if we have too much, the right amount, or too little housing?
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) What are the best metrics for understanding if a given place has enough housing, just the right amount, or too much? Whether you’re a potential renter or buyer or an analyst or policymaker, the answer really depends on what you’re looking for. For potential renters and buyers, if you can’t find what you’re looking for and/or it’s not in your price range, then there’s not enough housing.
A detailed look at growth in the City of Vancouver
Canadian census data is freely available, alas not in a very convenient format for older data. Census data back to 1991 are available from Statistics Canada with an open data licence, digital geographic data is only available back to 2001. Older census data is available in digital format via paid subscription services from private entities with restrictive licences. But all data is available for free as open data in paper format.
Comparing multiple censuses across fine geographies.
Two days ago I gave an example using the new (to CensusMapper) 2001 census data to mix with 2006 data on a common geography based on dissemination areas. A question came up if this works for several censuses, not just for two. Yes, the TongFen package was built with exactly that in mind. Time for a quick demo. For this we will look at the households spending between 30% and 100% of income on housing in the City of Toronto.
Too much data, too little time.
Mountain Doodles is an insomnia driven MountainMath side project, born out of random questions, trying to give partial answers through data.