Grenada Real Estate: The Real Problems — Post 2 of 14.
Ask how a home is priced in most markets and the answer is comparable sales: what
similar properties nearby actually sold for recently, adjusted for size, condition, and
location. It’s not perfect, but it’s grounded in real transactions.
Ask the same question in Grenada and there’s often no real answer at all. Grenada has no
multiple listing service — no shared database of what’s for sale, what’s sold, when, or for
how much. Without that, comparable sales analysis simply can’t happen the way it does
elsewhere.
Where the price actually comes from?
With no sold data to check against, pricing collapses to a single input: what the seller feels
the property is worth. That number might be grounded in something real — what they
paid, what they’ve invested, genuine local knowledge. It might also be entirely aspirational,
based on what they’d like to walk away with rather than what the market would actually
support.
Either way, the agent taking the listing has little basis to push back. Arguing the price
down risks losing the listing to the next agent who’ll take it at whatever number the seller
wants. So the number goes up on the website unchallenged.
The square-footage problem.
In markets with real data, price per square foot is the first sanity check anyone runs — a
quick way to see if an asking price is in the right neighborhood before digging deeper. In
Grenada, that number is barely part of the conversation, because there’s no reliable
dataset to calculate it against. You’ll see two comparable homes in the same area listed
hundreds of thousands apart, with neither price obviously wrong, because there’s no
shared benchmark to measure either one against.
What this does to buyers.
A buyer here can’t do the thing buyers normally do first: check the ask against recent
sales. They’re left triangulating from asking prices alone, which are exactly the numbers
most in need of scrutiny. Overpriced listings and fairly priced listings sit side by side,
indistinguishable without real digging — appraisals, direct comparisons pieced together
manually, or local knowledge built up over years.
What this does to sellers.
It cuts both ways. A seller with a fairly priced, well-positioned property has no way to
demonstrate that to a skeptical buyer. Every seller’s number looks equally unsupported,
because none of them are supported by anything but the seller’s own opinion. Fair pricing
and wishful pricing get treated the same by a market that has no way to tell them apart.
Why this is fixable.
An MLS system isn’t a mystery to build. It’s a shared database and an agreement among agencies
to populate it honestly. Recorded property transfers already sit with the Registry — turning
that into a usable, even partial, sold-price reference is a solvable problem, not a
technological one. The barrier isn’t capability. It’s that no group of agencies has yet found
it worth their while to cooperate on it, in a market where cooperation isn’t the norm to
begin with — which is exactly the subject of the next post in this series.
Next: Post 3 — why open listings with no exclusivity turn marketing into a race to the
bottom