Author: Nathan Lauster

A Brief History of Vancouver Planning & Development Regimes

~ Nathan Lauster ~ 2 Comments

(co-authored with Jens von Bergmann and cross-posted at MountainMath)

Say you want to construct some multi-family housing in Vancouver. How long will it take? The answer is simple: it depends. There are many factors upon which it depends. Here we want to highlight one in particular: when you started.

As it turns out, it used to take a lot less time to build multi-family housing. There is reason to believe we could reduce that time again, but getting there involves gathering a better understanding of our current development regime, and placing it in historical perspective. We begin this process below, before diving deeper into two case studies of developments along Alma Street, located very near one another in space, but separated by some fifty years in start time. We’re going to look at the 14 storey rental building currently under construction at the intersection of Alma and Broadway, and the 12 storey rental building built in 1970 two blocks to the north at 3707 W 7th Ave.

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Analyzing Ballot Composition in Vancouver

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(Co-authored with Jens von Bergmann and cross-posted at MountainMath)

So we recently had an election in the City of Vancouver. Citizens elected a new mayor, ten council members, park board and school board, giving a majority to the centre-right leaning new ABC (A Better City) Party candidates for each (full results posted by the City). There are a variety of narratives out there about how it all went down. Here we’re interested in examining a couple of them in further detail using the recently released individual ballot data (all ballots remain anonymous, of course). Of note, the mayoral vote is straight-forward, each voter got to vote for one mayoral candidate. The council votes are more interesting. There voters could choose up to 10 candidates. For this post we will focus on council votes, but we’ll return to examining how they relate to mayoral votes.

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New Premier New Housing Policy

~ Nathan Lauster ~ 1 Comment

(Joint with Jens von Bergmann and cross-posted at MountainMath)

In this post, we take a moment to appreciate the first housing policy announcements from BC’s new Premier, offered up just days into his term. David Eby comes to the post fresh from his joint roles as Attorney General and Minister Responsible for Housing. In these roles, he was central to fashioning the teeth behind BC’s housing policy. Initially these teeth were directed at the private sector, with a special focus on rooting out the “toxic demand” thought to be leaving too many dwellings empty. The Speculation and Vacancy Tax (SVT) remains the most visible legacy of this approach, as we’ve written about before and we provide a brief update of SVT results based upon the latest release in our appendix below. But other legacies include things like BC’s beneficial ownership registry, insuring better transparency for private corporations.

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Still Short: Suppressed Households in 2021

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(Joint with Jens von Bergmann and cross-posted at MountainMath)

In May we estimated suppressed household formation across Canada using what we called the Montréal Method, finding strong evidence for suppression across many parts of Canada. As a reminder, we designed the Montréal Method to estimate housing shortfalls related to constraints upon current residents who might wish to form independent households but are forced to share by local housing markets. Now that we’ve got 2021 Census data out, it’s time to update our estimates. Given the data available, currently we can only estimate metro area effects of our previous Model 1 (crude household maintainer rates) and Model 2 (age-adjusted household maintainer rates). But that’s a start, and we’re also now enabled to extend the long timelines for Toronto, Montréal and Vancouver from our previous post to include 2021. Overall, current suppression of households alone suggests a shortfall of over 400,000 dwellings in Metro Toronto, and 130,000-200,000 across Metro Vancouver.

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Where did all the cheap rents go?

~ Nathan Lauster ~ 1 Comment

(Joint with Jens von Bergmann and cross-posted at MountainMath)

It can be really useful to count things, but sometimes numbers end up causing confusion and misunderstanding rather than helping. Often this has to do with how the number is presented and attached to claims. Other times it has to do with problematic procedures used to obtain the number. Here we want to explore these problems more in detail concerning a claim that “Canada lost 322,000 affordable homes” between 2011 and 2016. This stat is generally made in reference to “private” rentals, and is contrasted to the number of non-market units built between 2011 and 2016, pegged at 60k units.

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Rent Growth in GDP

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(Joint with Jens von Bergmann and cross-posted at MountainMath)

Every now and then the topic of the GDP share of the “Real Estate Industry” comes up, often linked to the suggestion that an economy has become too dependent upon real estate. But this usually involves a fundamental misreading of the data. As people who pay attention know, the NAICS sector [53] “Real Estate Industry” of the expenditure based GDP produced by StatCan is mostly just rent and imputed rent.

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25 Years of Structural Change

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(Joint with Jens von Bergmann and cross-posted at MountainMath)

How are big Canadian Metros growing? Can we see different patterns? Here we want to provide a brief look back at the last 25 years, exploring change over time from 1996 to our most recent Census in 2021. This is also a test of R skills for one of us, who began this post as a learning exercise drawing upon Jens’ excellent CanCensus package and recent data updates.

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Tumbling Turnover

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(Written jointly with Jens von Bergmann and cross-posted at MountainMath)

We’re increasingly gathering lots of different measures of residential mobility in Canada. Which is great! Especially insofar as we want up-to-date information about demographic response through the pandemic. Here we want to add the CMHC Rental Market Survey (RMS) to the mix, comparing to Census and CHS (Housing Survey) results. Adding it in reveals a general decline in tenant mobility only recently (and partially) reversed. But it also raises a mystery worth solving about divergent CHS results and points toward the value of triangulation.

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A Brief History of Canadian Real Estate Investors

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(Written jointly with Jens von Bergmann and cross-posted at MountainMath)

The newest trend in the search for reasons for rising home prices is to look toward investors. The Bank of Canada released a report showing that the share of investors has risen over time. For this they took mortgage data from federally regulated financial institutions and matched them with credit history to determine if some of the buyers already owned property before they bought (during roughly the past 10 years) and kept it after they bought.

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