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The 1% Rule in Real Estate: What It Screens For, and Where It Breaks

1%of purchase price, the monthly-rent screening test
The 1% rule is defined as a screening test where monthly rent should equal at least 1% of a property’s purchase price: a $200,000 house should rent for about $2,000 a month. It filters listings in seconds, ignores taxes, rates and condition, and my own $470,000 duplex failed it while still cutting my housing cost to a fraction of the full payment.

The 1% rule is the most repeated piece of real estate shorthand on the internet. The rule says a rental property should bring in monthly rent equal to at least 1% of its purchase price. A $200,000 house should rent for $2,000 a month. A $350,000 duplex should bring in $3,500 across its units.

What the rule was built to do

It is a useful idea that gets used badly. The rule was built to be a ten-second filter, a way to decide which listings deserve real analysis. Somewhere along the way people started treating it as the analysis itself, and that misuse rejects good properties, approves bad ones, and confuses a lot of first-time buyers whose entire local market fails the test.

My own duplex failed it by a wide margin, and buying that building is still the best financial decision I have made. Both of those things are true, and by the end of this post the reason will be obvious. If you are new to the owner-occupied strategy behind that story, start with the house hacking guide.

What the 1% rule tests

Divide the expected monthly rent by the purchase price. At 1% or above, the property earns a closer look. Below it, the property has to justify itself some other way.

PropertyPriceMonthly rentRent ÷ priceVerdict
Midwest single-family$150,000$1,5501.03%Passes, analyze fully
Regional-city duplex$300,000$2,6000.87%Close, maybe
Coastal condo$600,000$3,3000.55%Fails badly
Three example listings against the 1% line Monthly rent as a share of purchase price. The dashed line is the 1% threshold. 0% 0.5% 1.0% 1.03%Midwest single-family 0.87%Regional-city duplex 0.55%Coastal condo Hypothetical listings with round numbers. The ratio sorts attention; it does not compute profit.

What the ratio really measures is rent relative to price, which is the raw material cash flow is made from. Expenses scale loosely with price (taxes, insurance) while income is the rent, so when rent is high relative to price, there is more room for everything to go wrong and still break even. That is all the rule knows.

Stock photo flat-lay of a monthly budget planner and calculator

What the 1% rule ignores

The 1% rule is blind to every line item that turns rent into profit or loss. Each blind spot breaks the rule in a specific, predictable place:

The rule ignoresWhere that breaks it
Property taxesHigh-tax states: a property can pass at 1% and still lose money every month
Interest ratesThe same building flips between profitable and unprofitable as rates move; the ratio never changes
Condition and ageA passing property needing a roof and a furnace is worse than a failing one that needs nothing
Owner-paid utilitiesCommon in duplexes; water, trash, and heat can consume the margin the ratio implied
Insurance costsRising sharply in some regions; invisible to the ratio
Neighborhood trajectoryA 1.4% ratio in a declining area is often a tenant-turnover machine, not a bargain

One of these deserves special attention: interest rates. The 1% threshold became popular in an era of one set of borrowing costs, and the monthly payment on the same loan amount changes dramatically as rates move. A screen calibrated to one rate environment does not automatically make sense in another. The ratio is a constant; your payment is not. Whatever rates are when you read this, run the payment math fresh instead of trusting the threshold.

Stock photo of a printed lease agreement with a pen and a small key

Why whole housing markets fail the 1% rule

Divide the country by this ratio and a pattern appears immediately: lower-priced metros pass constantly, expensive coastal metros essentially never do. That does not mean every cheap market is a good investment and every expensive one is bad. Prices in expensive metros carry expectations of appreciation and deep rental demand; prices in cheap metros often carry the opposite. The rule compresses all of that into a single ratio and calls it a verdict.

If you live in a market where nothing passes, ownership can still work there. The pure-rental math and the owner-occupied math are different calculations, which is the next section.

The 1% rule and house hacking: my duplex failed it

I bought my duplex for $470,000. To pass the 1% rule, the building would have needed to rent for $4,700 a month. It did not come close, and I knew that going in.

What the rule could not see on my duplex

Here is what the rule could not see. I was not buying a pure rental; I was buying the place I live. My full monthly payment came to about $2,880. The upstairs tenant pays roughly $1,200, and the basement produces short-term rental income on top of that. My effective housing cost, the payment minus what the building pays me, landed at a fraction of the full payment, in a metro where renting a one-bedroom costs far more.

Why a house hacker is running a different comparison

The 1% rule compares the building’s rent to a hypothetical investor’s price. A house hacker is running a different equation: what does this property cost me to live in, compared to what I am paying now? A building can fail the investor screen and win the housing-cost comparison decisively, because the alternative it competes against is your current rent, not a bond yield. That distinction is most of why house hacking works in markets where conventional rental investing does not.

The flip side

The flip side: while I live here, my building is not a passing rental, and I do not pretend otherwise. When I eventually move out and both units rent, the numbers get re-run as a pure rental, with documented figures instead of a ratio.

Stock photo of a printed contract with a pen and stamp on a wooden desk

How to use the 1% rule as a screen

Used as designed, the rule is a sorting mechanism for your attention, and it earns its keep in about ten seconds per listing.

  1. Screen. Rent estimate ÷ asking price. Above 1%, promising. Between about 0.7% and 1%, possible, and for a house hack this range is often where the livable, decent-neighborhood deals sit. Far below that, the property needs a strong non-cash-flow reason.
  2. Analyze the survivors. Run the full monthly math: full payment, taxes, insurance, vacancy, repairs, reserves, then subtract from realistic rent. The step-by-step version is in how to calculate cash flow on a rental property, or you can let the free calculator do the arithmetic.
  3. Verify before you offer. Replace estimates with documents: signed leases, county tax records, twelve months of utility bills. The full checklist is in how to run the numbers on a rental before you buy.

The failure mode at every step is the same: letting a ratio make a decision that belongs to the full calculation.

Next step

Screen a listing in seconds, then run the whole calculation.

The free house hacking calculator. Enter a price, a rent and your loan terms, and it returns the full monthly math the 1% rule skips.

Frequently asked questions

Is the 1% rule still relevant?

The 1% rule is a screening shortcut, not a purchase criterion, and as a shortcut it still works. The threshold cannot be trusted across every market and every rate environment, so treat the 1% line as adjustable rather than sacred, and let the full monthly math make the decision.

What is the 2% rule?

The 2% rule is the same ratio with a stricter bar, inherited from very cheap markets and a different era. Properties that clear 2% today usually come with condition, vacancy, or neighborhood problems the ratio cannot show. If something passes it, look harder, not faster.

Should a house hack pass the 1% rule?

A house hack is judged by effective housing cost, your payment minus the rent the other unit produces, rather than by the 1% rule. Passing is a bonus. Plenty of excellent house hacks fail the investor screen, mine included.

Keep going

For what the rule misses, and what my 83-metro screen shows about the listings that pass it most easily, see why some cash-flowing deals are bad purchases.

Where my figures come from

The three screening examples are hypothetical listings with deliberately round figures; they are not properties for sale. Purchase price, payment and rent figures for my own duplex are from my closing documents and monthly statements.

If you are staring at a listing and wondering which side of the line it lands on, run it through the free house hacking calculator. It does the whole calculation the ratio skips, free, no account, no email wall. And if you want a second opinion on a specific deal, send it over. I read every one.

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