What insurance numbers do not reveal

IIndia is often described as an “underinsured” country. This claim is often supported by two figures that appear regularly in official speeches, policy documents, and media commentary: life insurance penetration and density. Low values ​​of these indicators are considered as evidence that insurance coverage in India is inadequate and a large segment of the population is vulnerable.

The problem is not that these numbers are wrong. The problem is that these are misunderstood and then used during public discourse to draw incorrect conclusions.

In everyday economics parlance, penetration refers to how widely a product is used. For example, mobile phone penetration tells us how many people or households have access to a phone. Density generally means how much of something is present per person.

However, in life insurance these terms mean something quite different. Insurance penetration is defined as the percentage of gross domestic product (GDP) of total premiums collected by insurance companies. Insurance density is the average premium paid per capita and is usually expressed in US dollars. These definitions are accepted internationally and are useful for comparing the size of insurance markets between countries.

But these measures don’t tell us what most people assume they are doing. They do not explain how many families are insured, whether those families will be financially secure if the primary earner dies, or whether it serves the most important social purpose of insurance: to protect households against sudden loss of income.

What do the numbers show?

For example, the premium to GDP ratio is essentially a measure of industry income relative to the size of the economy. It can move up or down for many reasons that have little to do with home protection. If the economy is growing rapidly due to infrastructure spending or increased exports, insurance penetration may decline even as more people buy insurance.

On the other hand, insurers may push high-premium products and increase penetration figures without meaningfully improving protection.

Regulatory changes could further distort the picture. When product rules or commission structures are changed, premium growth often slows temporarily as insurers readjust. Penetration may then appear to decrease. This does not mean that fewer families are insured; it simply reflects a shift in the way insurance is sold and priced. Treating such movements as evidence of poor coverage leads to confused diagnoses and poor decision making.

Insurance density has similar limitations. It is often used to compare India with richer countries, concluding that Indians are underinsured because they spend less on insurance. But such comparisons ignore income levels and costs of living. A family paying a modest premium in India can make a much larger financial commitment relative to income than a family paying a higher premium in a developed economy.

Premium and protection

More importantly, both penetration and intensity confound how much protection is received with how much is paid. In India, insurance products have long been sold as savings tools rather than pure protection. As a result, premiums can be high even if the life insurance provided is modest. Premiums are increasing, but dependents’ financial security is not increasing at the same rate.

This gap between premiums and protection becomes even clearer when damage data is examined. According to the IRDAI Annual Report 2024-25, life insurers settled just over 10 lakh individual death claims during the year and paid out a total of around ₹33,000 crore. This translates into an average payout of roughly ₹3.3 lakh per claim, indicating a claim settlement rate of 97%.

While this reflects the effective resolution of claims, it also indicates the level of financial support that life insurance typically provides to bereaved families. For most households, such an amount will only replace income for a short period of time. However, these claim payments are fully included in insurance penetration and density. Although basic protection is generally weak, the numbers look reassuring. That’s why headline indicators can point to progress while households remain financially vulnerable.

This confusion is important because it shapes how the problem is framed.

Rethinking competence

When India is labeled as “underinsured” based on these metrics, the implication is that people lack awareness or access. In reality, many households, especially in the formal and semi-formal sectors, already have at least one life insurance policy, either individually or through employers. The real issue is not access, but competence. Families may have insurance, but not enough to replace lost income if something goes wrong.

This is not an argument for abandoning influence and intensity altogether. These indicators are useful for monitoring the growth of the insurance industry and making broad international comparisons. But they are ill-suited to guide public policy aimed at protecting households. When income-based measures are considered as indicators of social security, they hide more than they reveal.

A more meaningful approach could start with simpler, more direct questions: How many households have some form of life insurance—whether individual, employer-provided, or through government programs? And for those who do, how much life insurance do they have based on their income? These questions focus on protection, not premium collection.

Such measures are often overlooked because they are difficult to calculate. In reality, most of the necessary data already exists; in regulatory filings, household censuses, and enrollment in group insurance plans. The goal doesn’t have to be perfect precision. From a public policy perspective, understanding the wide gaps in protection is far more important than precisely tracking premium flows.

As long as India continues to rely on penetration and density as shortcuts to insurance adequacy, the debate will remain mixed. Premium growth risks being confused with progress, and industry expansion will be equated with social security.

Clear thinking starts with clear measurement. In life insurance, this means shifting the focus from how much money is collected to how well families are protected.

(TC Suseel Kumar is former Managing Director of LIC and R. Sudhakar is former Managing Director of LIC)

It was published – 22 March 2026 23:05 IST