Persistency Ratio
The persistency ratio measures the percentage of policyholders who continue paying premiums for their insurance policies over a specific period, indicating customer retention and policy performance in India's insurance market.
Understanding Persistency Ratio
In India, the persistency ratio is a critical metric used by insurers to evaluate the stickiness of their customer base. It is calculated by dividing the number of policies still active at the end of a period by the total number of policies issued during that period. For example, an insurer with 10,000 policies issued in 2020 and 8,000 still active in 2023 would have a 3-year persistency ratio of 80%.<br><br>
Regulated by the Insurance Regulatory and Development Authority of India (IRDAI), persistency ratios are tracked across intervals like 13th, 25th, 37th, and 55th months to align with premium payment cycles. Higher ratios suggest better policyholder satisfaction, lower lapses, and stronger financial health of the insurer. Conversely, lower ratios may indicate mis-selling, affordability issues, or inadequate claim settlement experiences.<br><br>
The metric is particularly relevant for traditional life insurance policies (e.g., endowment plans) where surrender rates can significantly impact the insurer's liquidity and profitability. For unit-linked insurance plans (ULIPs), persistency ratios also reflect investor confidence in market-linked returns. IRDAI mandates insurers to disclose persistency data publicly, enabling retail investors to compare performance across providers.<br><br>
From a tax perspective, policies lapsing due to non-payment of premiums lose their tax benefits under Section 80C of the Income Tax Act, 1961. Thus, persistency ratios indirectly influence the tax efficiency of insurance investments for Indian taxpayers.
Why it matters
For Indian retail investors, a high persistency ratio signals an insurer's ability to retain customers, which often correlates with better claim settlement ratios and financial stability. It helps policyholders assess the reliability of their chosen insurer and avoid lapses that could forfeit tax benefits or leave them underinsured. For borrowers, persistency in loan-linked insurance (e.g., home loan term plans) ensures uninterrupted coverage during EMIs.
Example
Rajesh, a 35-year-old from Mumbai, purchased a ₹10 lakh term life insurance policy in 2021 with annual premiums of ₹12,000. In 2023, he missed his second premium payment (₹12,000) due to a job loss. The insurer's persistency ratio for 25th-month policies (2021 cohort) was 78% in 2023. Rajesh's policy lapsed, and he forfeited ₹24,000 in premiums. Had he availed the 30-day grace period, he could have avoided lapse. Calculation: (Total active policies in 2023 / Total policies issued in 2021) × 100 = (78,000 / 1,00,000) × 100 = 78%.
Rohan, a 28-year-old software engineer in Bengaluru, bought a ₹50 lakh endowment plan in 2020 with 15-year premiums of ₹1.5 lakh annually. In 2023, he considered surrendering the policy due to financial constraints but learned that surrendering after 3 years would yield only ₹3.5 lakh (a 2.3% annual return). Instead, he opted for a premium holiday under the insurer's in-force policy, maintaining coverage while reducing expenses. By 2024, the insurer's 37th-month persistency ratio improved to 82%, reflecting Rohan's decision to persist with the policy.
How to use it
To leverage persistency ratios, compare insurers using IRDAI's annual reports or platforms like InvestingPro.in. Focus on ratios for your policy's tenure (e.g., 13th month for yearly premiums). A ratio above 80% for 25th-month policies is generally considered healthy in India. For term plans, prioritize insurers with persistency ratios >90% to minimize lapse risks.<br><br>
If your policy's persistency ratio drops, proactively contact your insurer to explore premium holidays, reduced paid-up options, or loan facilities against policies (for traditional plans). Avoid surrendering policies prematurely, as lapses forfeit tax benefits under Section 80C and may leave dependents unprotected.
Common mistakes
- ·Ignoring persistency ratios when comparing insurers
- ·Assuming all policies with high persistency are profitable
- ·Not utilizing grace periods to avoid lapses
- ·Overlooking tax implications of lapsed policies