“If everyone is going left, look right." -Sam Zell
The right time to buy things is usually when other's aren't, which is why I've felt that this year was a great time to buy a centrally located condo. Cities aren't going anywhere. This isn't their first pandemic. Downtown demand will return as soon as urban life returns and the majority of people are back in their offices next year.
I've also been predicting that the run-up in single-family home prices that we have seen this past year here in Toronto will eventually lead to a surge in demand for condos (and perhaps even for larger suites). It's a question of relative affordability. And so it was interesting to see Shaun Hildebrand of Urbanation predicting the same thing for 2021 in this recent Toronto Star article.
“If everyone is going left, look right." -Sam Zell
The right time to buy things is usually when other's aren't, which is why I've felt that this year was a great time to buy a centrally located condo. Cities aren't going anywhere. This isn't their first pandemic. Downtown demand will return as soon as urban life returns and the majority of people are back in their offices next year.
I've also been predicting that the run-up in single-family home prices that we have seen this past year here in Toronto will eventually lead to a surge in demand for condos (and perhaps even for larger suites). It's a question of relative affordability. And so it was interesting to see Shaun Hildebrand of Urbanation predicting the same thing for 2021 in this recent Toronto Star article.
Hildebrand thinks the soaring prices of single-family homes will also push more buyers back to the condo market.
As of November, the average price gap between condos and detached houses was $596,000. The gap between a condo and a semi-detached or townhome was about $217,000. Both of those were at their second-highest levels since the market peaked in late 2016-early 2017, he said.
“This could really start to swing demand towards condos in the second half of the year,” said Hildebrand.
Realosophy data shows condo sales were already up year over year prior to the holidays — 23 per cent the first week of December, 31 per cent the second week and 72 per cent the week of Dec. 14. That means 727 condos sold that week, compared to 418 in the same week last year.
Today was a historic day for Toronto, for Canada, and for the game of basketball in this country. The Toronto Raptors are world champions for the first time since their founding in 1995. Soak it in. Here is a photo that I took of the parade coming through the Financial District at around 2:30pm:
Today, Microsoft announced that it will be moving its Canadian headquarters from Mississauga to the new CIBC Square development that is currently under construction in downtown Toronto (and rendered above).
According to RENX, Microsoft will occupy 132,000 square feet across 4 floors in the first tower. Occupancy is scheduled for September 2020.
I love this project. The design architect is WilkinsonEyre. And there’s going to be an elevated one-acre park spanning the rail corridor between the project’s two towers.
But it’s also noteworthy because it is an example of a major suburban tenant deciding to relocate to a transit-oriented urban environment. (I have a post on this somewhere.)
Hildebrand thinks the soaring prices of single-family homes will also push more buyers back to the condo market.
As of November, the average price gap between condos and detached houses was $596,000. The gap between a condo and a semi-detached or townhome was about $217,000. Both of those were at their second-highest levels since the market peaked in late 2016-early 2017, he said.
“This could really start to swing demand towards condos in the second half of the year,” said Hildebrand.
Realosophy data shows condo sales were already up year over year prior to the holidays — 23 per cent the first week of December, 31 per cent the second week and 72 per cent the week of Dec. 14. That means 727 condos sold that week, compared to 418 in the same week last year.
Today was a historic day for Toronto, for Canada, and for the game of basketball in this country. The Toronto Raptors are world champions for the first time since their founding in 1995. Soak it in. Here is a photo that I took of the parade coming through the Financial District at around 2:30pm:
Today, Microsoft announced that it will be moving its Canadian headquarters from Mississauga to the new CIBC Square development that is currently under construction in downtown Toronto (and rendered above).
According to RENX, Microsoft will occupy 132,000 square feet across 4 floors in the first tower. Occupancy is scheduled for September 2020.
I love this project. The design architect is WilkinsonEyre. And there’s going to be an elevated one-acre park spanning the rail corridor between the project’s two towers.
But it’s also noteworthy because it is an example of a major suburban tenant deciding to relocate to a transit-oriented urban environment. (I have a post on this somewhere.)
Some of the estimates going around are that 1 to 2 million people attended today's championship parade. But 2 million seems like a lot, even though today was frenetic (see above photo, again). I mean, that's 1/3 of the population of the Greater Toronto Area.
The fact that some of the "official" estimates also have a 1 million person spread tells me that, as of right now, we actually have no idea how many people were at today's parade.
So that got me thinking: How do people count crowds? And are we using drones to do it, yet? Subway and rail ridership for the day -- which surely spiked -- will give us some indication. But definitely not the full picture.
It turns out that the typical approach to counting crowds is known as Jacobs' Method. It was invented in the 1960s by a professor at UC, Berkeley, named Herbert Jacobs. He came up with the method while trying to count the number of students protesting the Vietnam War.
The concept is simple: It's area x density. And permutations of his method usually use this same principle. What you do is take the area filled with people, break it up into a smaller grid, and then come up with a population density estimate for each square.
He had some rules of thumb for that. A light crowd was about 1 person per 10 square feet. And a dense crowd (such as a mosh pit or an NBA championship parade in Toronto) was about 1 person per 2.5 square feet.
Using this method and aerial photos of today's parade, I would imagine that we could eventually get to a more precise estimate than 1 to 2 million people. But surely somebody has figured out how to program a drone (or other UAV) and do this even more accurately.
Crowd data is valuable information, particularly for political rallies and protests (I would imagine). If you know of a company doing this, please leave it in the comment section below. And if it doesn't yet exist, well then, now you have a new business idea.
Some of the estimates going around are that 1 to 2 million people attended today's championship parade. But 2 million seems like a lot, even though today was frenetic (see above photo, again). I mean, that's 1/3 of the population of the Greater Toronto Area.
The fact that some of the "official" estimates also have a 1 million person spread tells me that, as of right now, we actually have no idea how many people were at today's parade.
So that got me thinking: How do people count crowds? And are we using drones to do it, yet? Subway and rail ridership for the day -- which surely spiked -- will give us some indication. But definitely not the full picture.
It turns out that the typical approach to counting crowds is known as Jacobs' Method. It was invented in the 1960s by a professor at UC, Berkeley, named Herbert Jacobs. He came up with the method while trying to count the number of students protesting the Vietnam War.
The concept is simple: It's area x density. And permutations of his method usually use this same principle. What you do is take the area filled with people, break it up into a smaller grid, and then come up with a population density estimate for each square.
He had some rules of thumb for that. A light crowd was about 1 person per 10 square feet. And a dense crowd (such as a mosh pit or an NBA championship parade in Toronto) was about 1 person per 2.5 square feet.
Using this method and aerial photos of today's parade, I would imagine that we could eventually get to a more precise estimate than 1 to 2 million people. But surely somebody has figured out how to program a drone (or other UAV) and do this even more accurately.
Crowd data is valuable information, particularly for political rallies and protests (I would imagine). If you know of a company doing this, please leave it in the comment section below. And if it doesn't yet exist, well then, now you have a new business idea.
