13 Comments
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amit's avatar

giving me more to read and its 9 pm 🫩🫩🫩🫩

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Peter Banks's avatar

Your welcome

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Brendon's avatar

Smart idea starting with laying down a common starting point. All too often now days, especially on social media, people tend to talk past each other!

Looking forward to the next post on the historical trend of southern housing prices. I think it’s a growing region with huge potential

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Peter Banks's avatar

Glad you enjoyed it!

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Aaron's avatar

Any chance you could get all the city-level maps you made assembled in one place?

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The Boyd Institute's avatar

Not as of now! But if you have any city you would like to see feel free to ask.

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Sachit Puntambekar's avatar

I don’t understand the point of this article.

You’re basically saying housing on the coasts is expensive cities, cheap surrounding areas vs Midwest and south is the opposite?

What does this have to do with how you started off the article of “demistifying housing prices”? Doesn’t everyone know that already?

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The Boyd Institute's avatar

Thanks for the comment Sachit. We're basically in due diligence/discovery mode and in the process of building out dataframes and iterating from there. Stay tuned!

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Sachit Puntambekar's avatar

Got it! Will stay tuned. Thought this was a standalone article

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Aaron's avatar

What difference did you notice moving to DC from the Bay Area?

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Peter Banks's avatar

I feel like DC suburbs are ~30% cheaper per square foot and have more variance in terms of quality. More older and more newer stuff. All of this is anecdotal of course.

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forumposter123@protonmail.com's avatar

The dc area, especially nova, had a lot of empty space to fill. Disney even considered adding another Disneyland in loudoun a generation ago. It was the same with north jersey in the 50s, my dad grew up on a farm.

The value of my nova house utterly collapsed due to trumps layoffs. The entire region is a giant grift.

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LV's avatar

Is the price and rent data per square foot or per housing unit? I feel New York and especially Manhattan don’t pop out in these charts the way that they should, particularly if the former measurement were used?

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