Health insurance premiums don’t scale the way most people expect – a Rs 1 crore cover often costs only marginally more than a Rs 10 lakh cover for the same person, since claim probability doesn’t rise proportionally with sum insured. This calculator uses that real, non-linear pricing pattern rather than a naive per-lakh multiplication.
Why Sum Insured Doesn’t Drive Your Premium the Way You’d Expect
It’s natural to assume a Rs 1 crore health policy costs roughly ten times a Rs 10 lakh policy, since the cover is ten times larger. In practice, it often costs only marginally more. This is because the probability of a claim reaching extremely high amounts is low regardless of your sum insured – most hospitalisations cost a few lakh rupees at most, so insurers price the bulk of the risk into the first tier of cover, and additional cover beyond that mainly protects against rare, catastrophic events. This calculator reflects that real-world, non-linear pricing pattern rather than a naive straight-line multiplication.
What Actually Moves Your Premium the Most
| Factor | Typical Impact |
|---|---|
| Age | The single biggest factor – premiums rise sharply after 45, and again after 60 |
| City Tier | Metro cities typically cost 15% to 30% more than smaller cities, reflecting higher treatment costs |
| Pre-Existing Conditions | Adds roughly 20% to 50%, and often triggers a waiting period before those conditions are covered |
| Family Floater vs Individual | Usually cheaper per person than separate individual policies, if family members are similar in age |
| Sum Insured | Increases premium, but at a shrinking rate as cover gets larger – not proportionally |
Individual Policy vs Family Floater
An individual policy gives each person their own dedicated sum insured – if you claim Rs 5 lakh from a Rs 10 lakh individual policy, your remaining Rs 5 lakh stays untouched regardless of what happens to anyone else in your family. A family floater pools one sum insured across everyone covered, which is usually cheaper overall since not every member is likely to fall seriously ill in the same year – but it also means one member’s large claim can exhaust the shared cover, leaving less available for anyone else in that same policy year.
Why Pre-Existing Conditions Cost So Much More
A pre-existing condition – most commonly diabetes, hypertension, or thyroid disorders in India – signals a materially higher likelihood of a claim to the insurer, which is reflected directly in a higher premium, commonly 20% to 50% above the standard rate. Beyond the cost increase, pre-existing conditions typically come with a waiting period of 2 to 4 years before the insurer will actually pay claims related to that specific condition, so buying health cover before a condition develops, rather than after, meaningfully improves both your cost and your actual coverage.
Rising Medical Inflation Means Today’s Cover May Not Be Enough Tomorrow
Healthcare costs in India have been rising at roughly 10% to 14% a year, noticeably faster than general inflation. A sum insured that feels generous today can feel meaningfully thinner in real terms within just 5 to 7 years if it isn’t periodically reviewed and increased. Many policies offer a No Claim Bonus that automatically grows your sum insured – often by 10% to 50% – for every claim-free year, which is a genuinely useful, free way to keep your effective cover growing ahead of medical inflation.
Buying Early Locks In More Than Just a Lower Premium
Beyond the immediate cost saving, buying health insurance while young and healthy starts your waiting period clock running immediately, so any pre-existing condition waiting periods and the overall moratorium period clear well before you’re statistically more likely to need them. Waiting until you’re older, or until after a health issue has already appeared, means paying more, facing longer effective waiting periods relative to your actual health needs, and in some cases risking outright rejection for certain conditions.
Frequently Asked Questions
Tabassum is a government document researcher and writer with over 5 years of experience exclusively dedicated to tracking and simplifying Central and State Government document processes across India. She has researched and published detailed guides on 100+ government documents and certificates – including Aadhaar Card, PAN Card, Ration Card, Domicile Certificate, and Birth Certificate – covering all states and the Central Government, helping lakhs of Indian citizens successfully complete their paperwork in simple, easy-to-understand language.