A $/sq.ft. number can look remarkably precise. The harder question is whether the properties behind that number deserve to be compared in the first place.

Real estate has a fascination with price per square foot.

It is easy to understand, easy to calculate and easy to compare. One property sold for $900 per square foot. Another sold for $1,150. A third is listed at $1,300.

Within seconds, it can feel as though we know exactly where a property should be priced.

But price per square foot has an important limitation:

It tells us the relationship between a sale price and a property's size. It does not tell us why the market paid that price.

That distinction becomes particularly important in condominium and other highly segmented residential markets.

A 1,500-square-foot residence with an unobstructed ocean view and a 1,500-square-foot residence facing another building produce equally simple price-per-square-foot calculations.

The market may not consider them equally desirable.

The arithmetic is straightforward.

The comparison is not.

A precise number can still carry imprecise context

Suppose five nearby condominium sales closed at:

$850, $925, $1,025, $1,180 and $1,350 per square foot.

The average is easy to calculate.

But before using that number to understand another residence, we need to know what produced the spread.

Were the residences in the same building?

Were they comparable in size?

Were some renovated and others original?

Were they on materially different floors?

Did they have different exposures?

Did one face the ocean while another faced the parking structure?

Were association costs materially different?

Did the buildings compete for the same buyer?

Until those questions are answered, the arithmetic may be more precise than the underlying comparison.

This isn't simply a consumer-marketing argument. Fannie Mae's current appraisal guidance says an appraiser is responsible for identifying the best and most appropriate comparables, considering physical, legal and external characteristics rather than selecting properties merely because they are close. Fannie also says comparables should be competitive and appeal to the same market participants who would consider the subject property. (Fannie Mae Selling Guide)

That is an important distinction for anyone trying to understand the value of a home.

The newest sale isn't automatically the best sale either

Recency matters in real estate because markets change.

But it does not follow that the newest transaction is always the strongest comparison.

Fannie Mae explicitly recognizes this. Its guidance says that while comparable sales from the previous 12 months should generally be used, an older sale can be more appropriate than a very recent one when the older property is more comparable and market-condition differences can be addressed. (Fannie Mae Selling Guide)

Imagine a condo owner trying to understand a corner residence with a particular floor plan and exposure.

A nearly identical unit may have sold nine months ago.

Another unit sold last month, but it is substantially smaller, faces the opposite direction and has a different layout.

The fact that the second transaction is newer does not automatically make it more informative.

This is why comparable selection is not simply:

closest + newest = best.

The objective is relevance.

Condominiums make this especially visible

A condominium is unusual because the property being valued is simultaneously an individual residence and part of a larger project.

Fannie Mae's condo appraisal requirements reflect this explicitly. They require consideration of both the individual unit and the condominium project itself, including the unit's location within the project, project amenities and association assessments. (Fannie Mae Selling Guide)

That matters because buyers are rarely buying square footage alone.

They are buying a particular combination of residence, building, location, amenities, carrying costs and experience.

Consider two 2,000-square-foot condominiums.

They may be the same distance from the beach.

They may have the same number of bedrooms.

They may even sit across the street from one another.

Yet one building may offer private elevators, larger terraces, newer construction and extensive amenities, while the other has materially higher association costs and a different product position.

The two $/sq.ft. numbers remain mathematically comparable.

The underlying real estate may not be.

That is why the first question shouldn't be:

“What is the average price per square foot nearby?”

A more useful question is:

“Price per square foot of what?”

Same building does not automatically mean identical either

Starting with the same building can remove a great deal of unnecessary variation, particularly in high-rise markets.

But even that does not end the analysis.

A building may contain several different product experiences.

Floor plans change.

Corner units can differ from interior units.

Exposure changes.

Views change.

Floor level can matter.

Renovation and condition matter.

Parking, storage and other rights may differ.

And the way buyers respond to those characteristics may change with price tier and market conditions.

Fannie Mae's broader appraisal rules acknowledge this principle: the best comparable would ideally require no adjustment, but in practice properties are rarely identical, so differences need to be analyzed according to the market's reaction to them. (Fannie Mae Selling Guide)

This is an important concept for homeowners because it explains why two professionals can begin with the same database and still arrive at different comparable sets.

Comparable selection is itself part of the analysis.

It isn't merely the raw material that comes before it.

There is another number homeowners often overlook: active competition

Closed sales tell us what buyers agreed to pay in the past.

But if you are considering selling today, buyers aren't choosing between your home and transactions that have already closed.

They are choosing between your home and the properties available to them now.

Fannie Mae's sales-comparison guidance recognizes that current listings and contract offerings can be useful supporting data alongside closed comparables. (Fannie Mae Selling Guide)

For a homeowner, this introduces an important distinction.

Closed comparables help explain value evidence.

Active competition helps explain today's choice environment.

A building could have excellent historical sales while simultaneously having eight similar residences competing for three active buyers.

Another building could have the same historical $/sq.ft. but almost no competing inventory.

The number looks similar.

The seller's position may be very different.

This is why understanding a market requires more than producing a number.

It requires understanding the choices surrounding the property.

The useful question is not “What is the average?”

It is tempting to collect as many transactions as possible because a larger dataset feels safer.

Sometimes it is.

Sometimes it simply blends together several different stories.

A broad average may combine waterfront and non-waterfront properties, newer and older buildings, different price tiers, different ownership costs or communities serving different buyers.

The result isn't necessarily incorrect.

It may be perfectly accurate for the collection of properties that went into it.

It simply may not answer the question the homeowner thinks it answers.

There is a big difference between:

“The average condo around here sells for $900 per square foot.”

and:

“The residences most comparable to yours have recently traded between $1,080 and $1,160 per square foot, while the units buyers can choose from today are asking between $1,125 and $1,225.”

The second statement tells a seller much more.

Not because it contains more data.

Because it contains more relevant data.

What should a homeowner actually look for?

Before accepting a comparable-sales analysis or a price-per-square-foot number, try to understand the story behind the properties selected.

Start with whether the homes serve a similar market.

Then look at how closely the residences themselves match.

For condos, consider the building before assuming another nearby tower belongs in the comparison. Within the building, consider unit type, size, layout, floor, exposure, view and condition where the data supports those distinctions.

Then separate closed evidence from active competition.

And finally, ask why each property was included.

A good comparable shouldn't be present merely because software found it.

There should be a reason it belongs in the analysis.

That is the practical outcome.

You don't need to become an appraiser.

You don't need to build your own valuation model.

You simply need to become more skeptical of numbers that arrive without context.

Use price per square foot as a question, not an answer

Price per square foot is useful.

It can reveal patterns.

It can expose outliers.

It can help compare pricing across similar residences.

And within a properly defined competitive set, it can become a powerful way to understand market positioning.

But it should not be asked to do something it was never designed to do.

It does not know the view.

It does not know the building.

It does not know the buyer.

It does not know which other properties are genuine alternatives.

It simply divides price by area.

The intelligence comes from deciding which properties deserve to be placed next to one another before that division becomes meaningful.

So the next time you see a beautifully precise number like:

$1,247 / sq.ft.

don't begin by asking whether the calculation is correct.

Begin with the more important question:

$1,247 per square foot compared with what?

That one question can tell you far more about the quality of the analysis than the number itself.