How Much Term Insurance Cover Is Enough in India

What Term Cover Is and Is Not #

Term cover is rented protection. The premium pays for a promise that the family receives a set sum if the breadwinner dies within the policy term and the policy simply expires if they survive it. Nothing builds up inside it, which is exactly why a large cover costs so little.

Everything sold as life insurance with a maturity benefit or a guaranteed return is something else wearing the same label. Endowment plans, money-back policies, ULIPs and term plans with return of premium all fold an investment into the cover. The bundle feels reassuring because money comes back. It also delivers a fraction of the protection per rupee and a thin return on the savings portion, which is the worst of both halves.

Who Needs It and Who Can Skip It #

The test is simple. Term cover is for anyone whose death would leave a person or a loan stranded. A single income supporting a family, a home loan shared with a spouse, ageing parents who lean on the earner, a co-signed debt that would pass to someone else. Each of those is a reason to hold cover.

The mirror image matters just as much and is missing from most guides. Someone with no financial dependents and no liabilities does not need life insurance at all. A single person with no debt, a couple who both earn and owe nothing, a household whose savings already cover every obligation. Buying term cover here insures a loss that would never land on anyone. Children do not need it, because a child has no dependents. A homemaker without an income to replace usually does not, though a loan in their name can change that.

How Much Cover and for How Long #

Two numbers set the cover. The income replacement, commonly 15 to 20 times annual income, leans to 20 times for someone young with a long earning runway, loans or several dependents and eases toward 15 times later in a career. On top of that sits every outstanding liability, the home loan and any other debt, so the payout clears the borrowings outright and still replaces the income.

The arithmetic is worth seeing plainly. The cover is simply annual income multiplied by the chosen multiple, before loans are added.

Any home loan or other outstanding debt sits on top of these figures, so the payout clears the borrowing and still leaves the income replacement intact.

The cleaner method behind the rule of thumb is Human Life Value. It starts from annual income, subtracts the earner's own spending and taxes, then values the remaining stream over the years left to retirement. An earner of 32 on ₹18 lakh a year who keeps about ₹12 lakh after personal spending and tax, with 28 years to retirement, illustrates it. Valuing that ₹12 lakh a year over the remaining career lands the cover near ₹2 to ₹3 crore, the same zone the 15 to 20 times rule points to. The two methods rarely match to the rupee and the higher figure is the safer one.

The term should run to retirement, around 60 or 65, not to 99 or 100. Income stops at retirement, so the dependency the cover protects stops with it and the corpus built on the steps above stands in for the salary by then. A policy stretched to 100 mostly stretches the premium.

The Rules People Ask About #

Search for a cover amount and every page returns a different multiple. The spread is not really a contradiction. Each number is a shortcut aimed at a slightly different situation. Here is what each one is saying.

The 15 to 20 times rule is the income-replacement version and the one this page leans on. Fifteen to twenty years of income, invested sensibly, can throw off enough to stand in for the salary the family loses. The lower end suits an older earner with fewer years left to protect and the higher end a young earner with a long runway and dependents.

The 10 times rule is the older and lower floor, still quoted by some insurers. It tends to under-cover a young single earner whose family would lean on the payout for decades and it ignores loans entirely. Ten times income is a starting point that usually needs topping up.

The 30 times expenses rule sizes the cover against annual spending rather than income. It fits a household that saves a large share of what it earns, where lost income would overstate the real gap. The cover only has to replace what the family actually spends, plus the loans.

The Human Life Value method is the calculation the thumb rules approximate. It values the future income the family would lose, net of the earner's own spending and taxes, over the years to retirement. It is more work and more accurate and it usually lands back in the same 15 to 20 times zone.

The one crore default is a round number, not a method. A crore of cover is right for some incomes and badly short for others. The multiple, not the headline figure, is what decides the cover.

Pure Term vs ULIP, Endowment and Return of Premium #

The bundled alternatives all rest on the same pitch, that getting money back beats getting nothing. Running the maths is what dissolves it.

A term plan with return of premium or TROP, hands the premiums back if the holder survives, for a premium roughly two to three times the pure-term cost. Those extra rupees, invested instead, comfortably beat the refund. The effective return baked into the refund works out around 3 to 5 percent, below even PPF at 7.1 percent and far below the roughly 10 to 12 percent that diversified equity has returned over long historical periods, though past returns are never a promise of future ones.

Endowment and ULIP plans tell the same story. They quietly earn somewhere near 4 to 6 percent, because a large slice of the early premiums goes to cover and commission, while locking the holder in for years.

The pattern is consistent. Separating the two jobs, pure term for protection and a low-cost fund for growth, beats every product that tries to do both at once.

Why the Wrong Product Gets Sold #

If pure term is so clearly better, the question is why the counter keeps pushing the bundle. The answer is incentives, not coincidence.

A pure term plan pays the seller a slim commission. An endowment or ULIP can pay many times that in the first year, so the product that protects the family least rewards the seller most. Banks sit at the centre of this. Close to half of private insurers' new business now comes through bank counters, where a relationship manager carrying an insurance target meets a customer who trusts the bank. A 2025 survey of 1,655 bank relationship managers found 57 percent saying they are pushed to sell whatever meets the target, suitability aside. The complaint trail is growing with it. Unfair business practice complaints against life insurers rose to 26,667 in the year to March 2025, up about 14 percent in twelve months, by the IRDAI annual report.

One myth does real damage, the idea that insurers routinely deny claims and that a refund is therefore safer than a pure-term promise. The data says otherwise. By the IRDAI Handbook on Indian Insurance Statistics for 2023-24, life insurers settled 96.82 percent of individual death claims within 30 days and the private insurers most people buy term from sat near 99 percent. A ratio counted by number of policies flatters an insurer that sells many tiny plans, so the share of the claimed amount actually paid is the more honest cross-check, but on either measure the rejection rate is small. The rare rejection almost always traces to non-disclosure, a hidden illness or habit left off the application, not to insurer bad faith.

The law tilts further toward the honest policyholder. Under Section 45 of the Insurance Act, once a policy has run for three years no insurer can question it for a misstatement or an omission, only for proven fraud. A pure-term policy bought with full disclosure and held past that mark is about as solid a promise as Indian finance offers. Properly understood, the settlement record is an argument for honest disclosure on a cheap pure-term policy, not for an expensive bundled one.

This is the same incentive that drives fund mis-selling, examined in detail in the FinSet take on whether NFOs are worth it. The defence is the same too. A product that has to be sold hard is usually being sold for the seller's benefit.

Online vs Offline, Riders and Common Mistakes #

Buying direct online is materially cheaper than buying through an agent, often by 30 to 40 percent for the same cover from the same insurer, because the distribution commission falls away. A healthy 30-year-old non-smoker can usually hold ₹1 crore of cover to age 65 for somewhere around ₹10,000 to ₹15,000 a year online.

Two riders tend to earn their cost. Critical illness pays a lump sum on diagnosis of a listed condition. Waiver of premium keeps the policy alive by covering future premiums if illness or disability stops the income. Return of premium offered as a rider simply repeats the bundling mistake and is best left off.

A few errors recur. Under-insuring to keep the premium low, which defeats the point. Hiding a medical history or a smoking habit, which is the one thing that genuinely endangers a claim. Delaying the purchase, since premiums only climb with age. And dropping a pure-term policy because a bundled one has been sold as a replacement, which trades real cover for a worse product.

FAQ #