Rent-to-Price Ratio: The One Number That Screens a Market

If you could know only one number about a rental market before deciding whether to look closer, it should be the rent to price ratio: median monthly rent divided by median home price. A market where a $180,000 house rents for $1,440 has a ratio of 0.80%. A market where a $650,000 house rents for $2,600 has a ratio of 0.40%. Before you know anything about jobs, taxes or tenant law, you know the first market collects twice as much rent per dollar of purchase price.

Treat that as a screen and stop short of calling it a verdict. The ratio sorts thousands of places into a short list worth real work, and it does that job better than any other single figure. It also has blind spots that can flip a ranking once real costs go in. This post covers how to compute it, why it holds up against the alternatives, how it relates to cap rate, and where it stops being useful.

What rent-to-price measures and how to compute it for a market

The ratio measures gross rental income per dollar of asset price. For a market, the formula is:

median monthly rent / median home price

Expressed as a percentage, the example above is $1,440 divided by $180,000, which is 0.80%. Multiply by 12 and you have gross rental yield: 9.6% per year. The monthly form and the annual form carry identical information. Investors who grew up on the 1% rule use the monthly form, and anyone comparing against bond yields or cap rates will find the annual form more natural.

Three details decide whether your ratio means anything:

• Match the housing stock. Median rent often reflects apartments while median price reflects houses. Where you can, pair a rent figure for single family homes or for a bedroom count with a price for the same kind of property.
• Match the geography and the date. A county rent against a metro price, or this year's rent against a two year old price, produces noise.
• Know asking from contract. Most published rent series track asking rents on new listings. Sitting tenants usually pay less. That is fine for ranking markets, as long as every market uses the same series.

For a single property you use its actual rent and price, and the 1% rule reality check covers how that property-level test holds up. This post is about the market-level version, which answers a different question: where should I be looking at all?

Why it beats price alone, rent alone, and most composite scores

Price alone tells you what it costs to get in. Cheap markets can be cheap because rents are weak, and then the low price buys you nothing. A $90,000 house that rents for $700 has a ratio of 0.78%, slightly worse than the $180,000 house above.

Rent alone tells you the revenue and hides the cost of acquiring it. The $2,600 rent in the second example market is 81% higher than the $1,440 rent in the first, and it takes 261% more capital to buy.

Composite scores blend many inputs with weights chosen by whoever built the score. They are useful for a final sort among candidates, and the overall score on our rankings is one of them. As a first screen they have two weaknesses. You cannot tell which input drove the result without opening it up, and the weights encode someone else's priorities. A ratio built from two public numbers has no weights to argue about, and anyone can check it.

The ratio also resists the most common failure in market selection, which is falling for a story. Population growth, a new employer and a revived downtown are all real factors, and all of them are usually already in the price. The ratio shows what the income stream costs after the story has been priced.

The national spread: what high and low look like in 2026

We will not quote figures for specific places in a blog post, because rents and prices move and the numbers would be stale within a quarter. The live values for every county with rent data are on the best markets rankings, refreshed from current data. What stays stable is the shape of the spread, and that is what you need to read those tables.

Expensive coastal and high-amenity markets sit at the bottom, with ratios so low that a rental bought with a conventional loan cannot cover its own payment. Older, slower-growing, lower-priced markets sit at the top. The large middle is where most of the population lives. As rough reading bands, which are rules of thumb and not statistics:

Two things to look up when you open the rankings. First, where the ratio of your own home market falls, since that tells you what you are giving up or gaining by investing locally. Second, how steep the top of the list is. When the top twenty counties are separated by a few hundredths of a percentage point, rank order within that group is noise and you should treat them as a tier.

The last row of the table deserves its warning. A very high ratio is a price, and prices carry information. Buyers in that market are demanding a high yield to hold property there, usually because they expect weak growth, higher vacancy, heavier maintenance on old housing stock or some mix of those.

Rent-to-price vs cap rate: the same ranking wearing two names

Cap rate is net operating income divided by price. At the market level nobody has real operating statements for a median house, so every market-wide cap rate estimate assumes operating costs as a share of rent. Our cap rate ranking assumes 35%. Under that assumption:

cap rate = (monthly rent x 12 x 0.65) / price = ratio x 7.8

So the estimated cap rate is the monthly rent to price ratio multiplied by a constant.

Check one row. Market B collects $1,800 times 12, or $21,600 per year. Operating costs at 35% are $7,560, leaving net operating income of $14,040. Divided by $300,000, that is 4.68%, the same as 0.60% times 7.8.

Multiplying every market by the same constant cannot change their order. Under proportional expense assumptions, a cap rate ranking and a rent to price ranking are the same list. The same logic applies to cash-on-cash return computed with a uniform down payment percentage and rate: every term scales with price, so the ordering does not change. If someone shows you three market rankings by three yield metrics, all built from median rent and median price, you are looking at one ranking three times.

This matters for how you use the tools. Pick whichever unit you think in. It also tells you what would produce a different ranking: an input that does not scale with price.

What the ratio misses: taxes, insurance, and growth

The 35% cost assumption is the weak point. Real operating costs are not a constant share of rent, and the two biggest departures are property taxes and insurance. Effective property tax rates vary several-fold between states and between counties inside a state. Insurance varies with wind, flood, hail and wildfire exposure. Neither appears in the ratio.

Here is an example with two markets that screen identically. Both have a $200,000 median price and $1,700 median rent, a ratio of 0.85%. Financing is the same: 25% down, a $150,000 loan at an example rate of 7% for 30 years, which is $998 per month or $11,976 per year. Vacancy, maintenance and management are set at 25% of rent in both.

Same ratio, same financing, and a $5,300 per year gap in cash flow. The gap is exactly the $3,200 difference in taxes plus the $2,100 difference in insurance. Market D is a modest cash flow deal and Market E loses $356 per month.

The ratio has two other blind spots.

Fixed costs. A water heater, a roof and a turnover cost about the same on a $90,000 house as on a $300,000 one. In very cheap markets those fixed dollars consume a larger share of rent, so the highest ratios overstate what the owner keeps. This is why a ranking by dollars of monthly cash flow is a useful complement. Because it subtracts an absolute mortgage payment rather than dividing by price, it does not collapse into the same list, and it favors markets where the dollars are large enough to absorb a repair. The cash flow view on the best markets page ranks on that basis.

Growth. The ratio is a snapshot of today's income against today's price. It says nothing about where rent and value will be in ten years. Low-ratio markets are often low because buyers expect growth and pay for it in advance. Whether they are right is a separate analysis, using population, jobs and supply. The ratio cannot tell you, and you should not ask it to.

Screen 3,000 counties in one map

Use the ratio for what it does well, then bring in the inputs it cannot see. A workable sequence:

1. Set a floor. Decide the minimum ratio that can work with your financing. At an example 7% rate with 25% down, the Market D arithmetic shows that 0.85% with low taxes clears by about $85 per month, so a floor near there is reasonable for that financing. With more cash down or a lower rate, your floor drops.
2. Apply it everywhere at once. The market map colors roughly 3,000 counties by rent to price, cash flow and the other metrics in this post, so the screen described here takes one click and you can see which regions clear your floor and which clusters are isolated outliers.
3. Cross-check against dollars. Compare the ratio ranking with the dollar cash flow ranking. Markets near the top of both are your candidates. Markets high on ratio and low on dollars are the very cheap ones where fixed costs bite.
4. Open the county. Each candidate has a page under county market data with its price, rent, growth and score detail. This is where you look for the tax and insurance story and the population trend.
5. Replace medians with a real property. A market passes the screen when the median works. A deal passes when a specific house with a real tax bill and a real insurance quote works.

Expect the list to shrink at each step. A first screen that leaves you with 200 counties, a dollar cross-check that leaves 40 and a tax and insurance check that leaves 10 is the process working as designed. The ratio earned its place by getting you from 3,000 to 200 in a minute, with two numbers anyone can verify.