Why a ‘Cheaper’ Insurance Premium May Cost You More Over Time
In financial decisions, people are naturally drawn to the smallest visible number. Whether it appears as a lower monthly payment or a lower total outgo, this focus can be misleading over long horizons. Once inflation, income growth, and forgone investment returns are considered, what looks cheaper today may turn out to be more expensive over time.
The recent move by the Union government to rationalise Goods and Services Tax (GST), including the removal of GST on certain insurance products, has renewed attention on the role of insurance in household financial planning. While such policy changes make insurance more accessible, a larger question remains: how do households structure their choices within insurance itself?
In particular, the way premiums are paid can significantly alter the real cost and long-term affordability of protection.
As lives become more complex, the risks households face are also growing, ranging from health uncertainties to legal disputes and financial shocks. Just as health awareness helps people manage physical risks, financial understanding equips them to deal with economic vulnerabilities. In practice, this means being able to evaluate savings, loans, investments, and insurance not only in nominal terms, but in terms of their real value over time. These choices are no longer occasional. They shape household security across generations.
Among them, term insurance occupies a special place because it is directly linked to financial protection in the face of unforeseen risks. Term insurance is often described as the most basic instrument of protection. It is relatively inexpensive compared to other financial products and ensures that dependents are not left vulnerable in the event of the policyholder’s death. For households with limited financial buffers, it can mean the difference between stability and disruption. Yet, the way premiums are structured reveals how strongly nominal figures influence decisions with long-term consequences.
On popular insurance aggregator platforms such as PolicyBazaar, nearly 60% of buyers appear to choose limited pay plans over regular pay plans. The difference lies in how long premiums are paid. Regular pay requires smaller premiums spread across the full term. Limited pay compresses payments into a shorter period with much higher monthly amounts.
At first glance, limited pay appears more attractive because the total nominal outgo is lower. For example, one leading insurer offers:
- Regular pay: Rs 1,526 per month for 30 years (total Rs 6.25 lakh)
- Limited pay: Rs 3,143 per month for 10 years (total Rs 4.37 lakh)
On paper, limited pay seems cheaper, saving nearly Rs 1.9 lakh. But nominal figures can be misleading.
Once inflation, salary growth, and the opportunity cost of money are taken into account, the picture changes. Inflation steadily reduces the purchasing power of money over time. A payment due decades later may look large today, but its real burden will be much smaller relative to future income levels.
Figure 1: Limited Pay Vs. Regular Pay Trajectories in Term Insurance Premium
When premiums are adjusted for an average inflation rate of 6%, the present value of regular pay premiums is around Rs 2.6 lakh, while limited pay costs about Rs 2.9 lakh. Despite the higher headline figure, spreading payments over time reduces the real burden.
The opportunity cost of funds reinforces this conclusion. Under regular pay, households save roughly Rs 1,600 per month during the first ten years compared to limited pay. If households are able to invest this difference at a modest return of 8%, it can grow to nearly Rs 15 lakh over 30 years. That amount alone exceeds the total premium outgo, highlighting how payment structure affects long-term wealth.
Income growth also matters. For someone earning Rs 1 lakh per month with average annual increments of 8%, the regular pay premium falls from about 1.5% of income in the first year to less than 0.2 % by year 30. Limited pay, in contrast, absorbs more than 3% of income during the initial decade, when expenses on housing, childcare, and other obligations are typically highest.
In practical household budgets, therefore, regular pay becomes less intrusive over time, while limited pay places greater pressure precisely when liquidity is most valuable.
These observations point to a broader lesson. Financial decisions cannot be evaluated solely on visible totals. What appears cheaper today may turn out to be costlier once time, inflation, and forgone investment returns are considered.
When households focus only on figures such as Rs 4.37 lakh versus Rs 6.25 lakh, they risk overlooking how money evolves over time. The form of payments can be as important as the amount itself.
This has wider implications. Just as basic health awareness enables preventive choices, understanding real value calculations allows households to structure their finances more effectively. Insurance premiums offer one illustration, but the same logic applies to loan repayments, pension contributions, and long-term investments. For lower- and middle-income households, such mis-judgments can have lasting consequences for consumption, savings, and intergenerational security.
In each case, the central question is not merely how much is paid, but when it is paid and what that money could have earned in the meantime.
The widespread preference for limited pay plans, even among educated salaried professionals, highlights how strongly nominal figures shape financial behaviour. The issue is not about making the “right” or “wrong” choice, but about recognising the real costs embedded in long-term financial commitments.
This also raises questions about how insurers, digital platforms, and regulators present long-term costs to consumers, and whether current disclosures adequately reflect real economic burdens.
As financial inclusion expands in India, the next challenge lies not only in access, but in strengthening financial literacy around time, income growth, and opportunity costs. Whether in insurance, loans, or retirement savings, long-term planning requires looking beyond headline numbers to understand how money evolves over time. Only then can households align their financial decisions with lasting security rather than short-term convenience.
Hausla is a PhD scholar at the Indian Institute of Management Kashipur, and is associated with the National Centre for Good Governance, New Delhi.
Lokesh Posti is assistant professor at the Azim Premji University, Bhopal campus.
This article went live on March fifth, two thousand twenty six, at fifty-five minutes past three in the afternoon.The Wire is now on WhatsApp. Follow our channel for sharp analysis and opinions on the latest developments.




