Compare renting vs buying by net worth — not just monthly cost — over your own time horizon
Varies by state — typically 5–7% of the property value, paid upfront and not financed by the loan.
Society charges, repairs, and property tax combined — a common rule of thumb is 1% of current property value per year.
The return a renter is assumed to earn by investing the down payment, stamp duty, and any monthly savings elsewhere instead of buying.
Disclaimer: This model compares net worth outcomes using the opportunity-cost method — it assumes a renter invests the money saved by not buying (down payment, stamp duty, and any monthly cash-flow surplus) at the return rate you specify. It does not account for capital gains tax on investment growth, income tax benefits on home loan interest/principal (Sections 24b/80C), rental yield if the property were let out, or moving/brokerage costs. Treat this as a directional guide, not a precise forecast.
The most common argument for buying — "rent is money down the drain" — ignores what the alternative actually looks like. Buying a home ties up a large sum as a down payment and stamp duty, money that could otherwise be invested. A fair comparison isn't rent vs. EMI; it's home equity vs. what that same money could have grown into elsewhere.
Buying carries large one-time costs (stamp duty, registration, brokerage) that only pay off if spread over enough years. Short horizons almost always favour renting; longer ones tilt toward buying.
In cities where annual rent is a small fraction of the home price (common in India's metros), renting and investing the difference often wins on pure numbers — even though it doesn't feel that way.
The renting side only wins if the money not spent on a down payment is actually invested — and earns a return higher than property appreciation. Be honest about what you'd actually do with that money.
Past appreciation in your specific micro-market is the best guide — city-wide averages can be misleading. A modest, realistic assumption produces a far more useful answer than an optimistic one.
This calculator runs a month-by-month simulation over your chosen horizon, tracking two separate outcomes:
| Side | What Grows | At What Rate |
|---|---|---|
| Buy | Home value | Your property appreciation assumption, monthly |
| Buy | Loan balance | Reduces via standard EMI amortization |
| Rent | Invested corpus | Your investment return assumption, monthly |
| Rent | Monthly contribution | Any month the buyer's EMI + maintenance exceeds rent, that surplus is added to the renter's investment |
This is the same opportunity-cost method used by most reputable rent-vs-buy tools internationally. It deliberately does not model home loan tax deductions (Sections 24b/80C) or capital gains tax on investment growth — both would modestly change the numbers on either side. Use it to understand the shape of the trade-off, not as a precise forecast.
Buy scenario: ₹60,00,000 home, 20% down payment (₹12,00,000), 7% stamp duty (₹4,20,000), remaining ₹48,00,000 financed at 8.5% over 20 years. EMI works out to roughly ₹41,600/month, plus 1% annual maintenance.
Rent scenario: ₹25,000/month rent, rising 5% every year. The renter instead invests the ₹16,20,000 upfront (down payment + stamp duty) plus any month their would-be EMI+maintenance exceeds rent, assumed to earn 10% annually.
After 10 years: the home (appreciating at 6% p.a.) is worth roughly ₹1.07 crore, against a remaining loan balance of about ₹34 lakh — home equity of ~₹73 lakh. The renter's invested corpus, compounding at 10% with regular top-ups, grows to roughly ~₹58–65 lakh depending on exactly how the monthly surplus behaves as rent climbs.
In this illustrative case, buying edges ahead — but flip the appreciation and return assumptions (say, 4% appreciation vs 12% investment return) and the outcome reverses. This is exactly why the assumptions you enter matter more than the framework itself — run your own numbers rather than trusting an example.
The single input that most often flips the verdict isn't appreciation or investment return — it's how long you'll actually stay. Here's why:
The rent-to-price ratio (annual rent ÷ property price) is a quick sanity check on whether a specific property leans toward favouring renting or buying — and it varies enormously even within the same city, not just between cities.
| Annual Rent ÷ Price | What It Typically Suggests |
|---|---|
| Below 2% | Property price is high relative to rent — often favours renting and investing the difference |
| 2% – 3.5% | Fairly balanced — the verdict usually comes down to your horizon and assumptions |
| Above 3.5% | Rent is high relative to price — buying (or even investing in the property as a rental) often looks more attractive |
There's no universal answer — it depends on your specific numbers. Generally, renting and investing the difference tends to win in expensive metros with low rent-to-price ratios and shorter stay horizons, while buying tends to win over longer horizons and in markets with higher rental yields, because leverage on the full home value works in the buyer's favour. Run your own figures rather than relying on general advice.
It uses the opportunity-cost method: it compares the net worth you'd have at the end of your chosen horizon under each scenario. For buying, that's your home equity (property value minus remaining loan). For renting, it's the corpus you'd build by investing the down payment, stamp duty, and any monthly savings versus the buyer's EMI and maintenance costs.
Because that money isn't spent — it's an alternative use of capital. Comparing rent against EMI alone ignores that a buyer also ties up a large lump sum (down payment plus stamp duty) that a renter is free to invest instead. Including this is what makes the comparison a genuine net-worth comparison rather than a monthly cash-flow one.
No — Section 24(b) interest deduction and Section 80C principal deduction are not modelled, and neither is capital gains tax on investment growth for the renting side. Both would modestly narrow the gap between the two outcomes. This calculator is meant to show the shape of the trade-off rather than an exact after-tax figure.
Stamp duty and registration charges vary by state in India, typically ranging from around 5% to 7% of the property value, with some states offering concessions for women buyers or first-time buyers. Check your specific state's current rate before finalising your decision — the default of 7% is a reasonable planning estimate but not universal.
Use your realistic expected stay length, not an arbitrary number. Because buying involves large one-time costs, shorter horizons (under 5 years) usually favour renting regardless of other assumptions, while horizons of 10+ years give appreciation and loan paydown more time to work in the buyer's favour.
Use a return you could realistically and consistently achieve — a diversified equity mutual fund portfolio has historically returned in the 10–12% range over long periods in India, though this varies and isn't guaranteed. If you're not a disciplined investor who would actually invest the difference, using a lower, more conservative rate gives a more honest comparison.
There's no fixed threshold, but as a rough guide, an annual rent-to-price ratio below roughly 2% often favours renting and investing the difference, while a ratio above 3.5% often favours buying. Most Indian metro markets have historically sat toward the lower end of this range. Check the actual achievable rent for a comparable property in your specific area rather than relying on a city-wide average.
It can improve the percentage return on your own capital, because you're gaining appreciation on the full home value while only funding a fraction of it — this is leverage. But it also means a larger loan, more total interest paid, and higher risk if the property doesn't appreciate as expected or if you need to sell during a market dip. A smaller down payment amplifies both the upside and the downside.
Quite sensitive, especially over long horizons — a 1–2 percentage point change in either assumption, compounded over 10 or 20 years, can meaningfully shift or even flip the verdict. This is a genuine limitation of any long-horizon projection, not just this calculator. It's worth testing your inputs across a realistic range (not just your single best guess) to see how robust the verdict actually is.
Other tools that pair well with this one.