Should You Buy in an Expensive City? The Math Says Usually Not

In high price-to-rent metros our model has renting ahead by six figures, and no realistic mortgage rate closes the gap. Here is where the line actually sits.

Written by Jonathan Nyst Updated July 2026 4 min read The math Every figure re-runnable

In the metros where a house costs 24 times its annual rent — coastal California, Seattle, much of the New York area — our model has renting and investing the difference ahead by roughly $185,000 over ten years, and a drop to a 4% mortgage still leaves renting ahead by about $79,000. That is the part most rent-vs-buy advice will not tell you plainly: in an expensive city the rate is not the problem, the ratio is, and a rate cut you can realistically hope for does not fix it.

What counts as an expensive city, in ratio terms?

Price-to-rent ratio, not price. A $900,000 house is not expensive if it rents for $4,500 a month (a ratio of 16.7); a $500,000 house renting for $1,600 is (a ratio of 26). The ratio is what decides the rent-versus-buy math, because it is the only number that compares the two things you are actually choosing between.

Measure your own market rather than trusting a metro league table: divide the price of a home you’d actually buy by twelve times the rent of a genuinely comparable rental. A ratio above about 20 is what this guide means by expensive — the territory most large coastal metros have occupied for years, while much of the Midwest and inland South sits well below the buy band. We don’t publish per-metro ratio figures, because we can’t verify them the way we verify every other number on this site. Compute yours on the price-to-rent ratio calculator, and the ratio-by-rate chart there shows who wins in every combination.

Does a lower mortgage rate rescue buying in a high-ratio market?

No — and this is the load-bearing finding. Rate cuts move the buy-favorable ratio line by only one to two points each, so a market at 24 stays on the renting side of it across the entire realistic rate range. At a ratio of 24, renting wins by about $79,000 at a 4% mortgage and about $251,000 at 8%. The rate changes the size of the loss, not its sign.

Compare that with a market at 14, where the verdict genuinely hangs on financing: buying wins by roughly $112,000 at 4% but loses by about $60,000 at 8%. Those are the markets where waiting for rates is a real strategy. In an expensive city it is not a strategy, it is a hope — and one that needs the ratio to fall, which means either rents rising sharply or prices falling, not the Fed.

Why does the gap get so large?

Because every cost of ownership scales with the price while the benefit you are comparing against scales with the rent. In a high-ratio market you are buying a large, expensive asset to avoid a small rent bill.

Three mechanisms do most of the work. The down payment is proportional to price, so a high ratio means more capital taken out of the market — and at our model’s 7% return that forgone compounding is the single biggest line in the comparison. Unrecoverable carrying costs — property tax, insurance, maintenance — run at roughly 2.7% of value a year in our defaults, so they too scale with price rather than rent. And round-trip transaction costs, about 3% to buy and 6% to sell, are charged on the large number. Meanwhile the rent you avoid is, by definition, small relative to all of it.

There is a tax wrinkle that cuts against buying here too, counterintuitively. Expensive homes are exactly where the $750,000 mortgage-interest cap and the $40,400 SALT cap bite, so the deduction that is supposed to reward expensive purchases is capped precisely where it would matter most. Our methodology models both caps rather than applying a flat deduction.

When does buying in an expensive city still make sense?

Buying in an expensive city still makes sense when something the price-to-rent ratio cannot see is doing the deciding: a very long stay in a market already near the tipping line, a comparable rent that is not genuinely comparable, control you are consciously paying for, or a stated forecast that the ratio itself will compress. Price each honestly.

• You are staying a very long time. Time amplifies whichever side is winning rather than switching sides, so this only helps if your ratio is near the line to begin with.
• Your rent is not the market rent. If you would be renting something materially worse than what you would buy, the comparison the ratio makes is not the comparison you face.
• You are buying control, not returns. The right to renovate, stay put, and not be moved by a landlord is worth real money to some people. Name the number and check it against the gap above.
• You expect the ratio to compress. A defensible view, but it is a forecast about local rents and prices, not about rates — and it should be stated as one.

What does not make it make sense: the belief that rent is wasted while a mortgage is not. In our default scenario the owner’s first-year payment retires only about $304 a month of principal; the rest is as gone as rent. In a high-ratio market that ratio of gone-to-retained is worse, not better.

How should you actually check your own city?

Take the home you would realistically buy and the rental you would realistically live in, and get one ratio. Then read across the chart at the rate you have actually been quoted, not the rate you hope for.

If the answer lands near a flip, run the full model with your own numbers — the calculator prefilled with the default scenario is the place to start, and swapping in your price and rent takes about a minute. In our default $420,000 scenario at 6.5%, buying needs rent above $2,468 a month to win; the equivalent question in your market is whether your rent clears your own threshold. If the answer is not close, the honest conclusion is that renting is the better financial decision where you live, and the remaining question is whether the non-financial reasons are worth what they cost.

Jonathan Nyst

Jonathan Nyst built RentVsBuyMath as an independent project — for himself first. He spent fifteen years marketing financial products, in banking, fintech and payments at CMO level, which is exactly how he knows what a lead-generation calculator looks like from the inside. This is the calculator without the funnel: he is not a lender, broker or agent, the site takes no referral fees, and nobody is paid more if you decide to buy. The whole model is public — every formula documented on the methodology page, the engine MIT-licensed, covered by automated tests including scenarios computed by hand to check it.