(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) The “real estate has swallowed Vancouver’s economy” zombie is back, with wild claims by a City Councillor that “If you look at the long-form census data going back to 1986 every 5 years, […] we went from selling logs to selling real estate […], major shift from resource extraction to real estate property development and construction as the primary driver in the local economy.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) How did early planners envision Vancouver’s future growth? Fortunately for us, they left a prediction in dot-density map form! Here we compare their prediction to a dot-density map from today. Let’s check out how our dot destiny unfolded! Vancouver grew rapidly from its incorporation in 1886 right up to the great crash of 1913, followed by WWI and a raging influenza epidemic (which we all know way too much about now).
COVID-19 got me thinking about trend lines and the different ways people generate and interpret them. This is a question that’s of course more general than just COVID-19, but let me use this as an example to explain some very basic principles. This post is motivated by discussions I have had with a number of journalists, including Chad Skelton who nerd-sniped me into writing a post on trend lines and a thread discussing trend lines with Roberto Rocha and Tom Cardoso.
(Joint with Nathan Lauster and cross-posted at HomeFreeSociology) TLDR: Combining our two major sources of data on the “foreignness” of property owners suggests at least half of those owning property in high demand parts of BC but living outside of Canada are Canadian citizens or permanent residents. How Foreign Are You? BC housing discussions have often focused on various aspects of “foreignness” – foreign buyers, foreign owners, non-resident owners, foreign capital, home owners with non-anglicized last names, out of province buyers, buyers on 10-year entry program, foreign landlords – the list goes on in bewildering variety, and each category comes with it’s own range of interpretations and definitions.
We have previously look at T1FF tax data which is an extremely rich annual administrative data source. The cansim tables have a range of variables to inform about incomes of individuals, families (sliced by number of children, including zero children), low income statistics, and just statistics about the number of taxfilers and dependants by age. It’s available on cansim for Canada overall, the provinces and CMAs/CAs. That’s great, but sometimes it’s nice to have finer geographic detail.