The Globe and Mail has published a “data-driven ranking” that places Yellowknife second on a list of Canada’s 100 most renter-friendly cities.

In the ranking, published this week, the NWT capital is behind only Edmonton in a tool designed to help people “find the best cities to rent.”

Grande Prairie, Lloydminster and London are the next three on the list.

The prevailing narrative in Yellowknife tends not to be how great the city is for renters. So: What do you think?

Read the article and use the form below to send us your thoughts. You can also read the newspaper’s analysis of why Edmonton came out on top, though it doesn’t mention Yellowknife.

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Here is The Globe and Mail’s headline data for Yellowknife:

The Globe and Mail’s methodology – the approach it used to get these results – includes using data from Rentals.ca to rank cities, plus data from the federal Canada Mortgage and Housing Corporation where needed.

As far as we can tell, Rentals.ca ignores the NWT – its website wouldn’t even recognize “Yellowknife” as a place to search for, unlike its big list of southern cities – which suggests the newspaper was relying on CMHC data and 2021 census data.

The Globe and Mail says it looked at these four criteria:

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Affordability: Compares the average rent of all property and bedroom types in a city to the median income of that community and its surrounding neighbours.

Availability: Measures the number of available rental units (active listings) per capita.

Stability: Looks at how rent prices and availability have fluctuated over the past five years.

Livability: The neighbourhood score examines walkability, car-friendliness, and proximity to everyday amenities, such as grocery stores and shopping.

The extent to which factors like rent control legislation, private versus public rental share, subsidized rentals, and housing condition were studied is not clear.

More: Read Cabin Radio’s coverage of housing in the NWT

Below, use our form to get in touch with us about your view of renting in Yellowknife. Do you agree with the data-driven assessment or disagree, and why?

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