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In the span of a few days, Himachal Pradesh was battered by over 20 flash floods, series of landslides, and cloudbursts, events that upended daily life and damaged critical infrastructure in the State. Events like these are now part of an unsettling pattern. The return period for such catastrophic weather events is shortening, making them more frequent, and far less predictable.
India recorded 764 major natural disasters since 1900 with almost half of them occurring after 2000. A clear pattern is emerging: climate volatility and global warming are accelerating and with them, scale and complexity of economic disruption.
Between 2019 and 2023 alone, India suffered over $56 billion in losses from weather-related disasters. That’s nearly a quarter of all climate losses in the Asia-Pacific during the same period and the highest in South Asia by far.
As extreme events become both more frequent and harder to predict, conventional insurance models need a fundamentally different approach
Parametric insurance offers an alternative built for speed and clarity. It pays out the moment a predefined threshold is breached — rainfall crossing a certain mark, seismic activity above a set magnitude or wind speed crossing destructive limits. Payouts are triggered automatically, based on independently-verified data, and given within hours.
How it works
At its core, parametric insurance is a simple proposition: it pays out when a pre-agreed index threshold is breached.
These thresholds, such as rainfall below a certain level or temperatures above a critical mark, are based on verified data from sources like the India Meteorological Department, NASA MERRA or other accredited global satellite systems. Everything, from trigger to payout, is defined upfront.
This is finding application across transportation, manufacturing and even livestock farming where claim delays can hugely compound financial stress.
A microfinance institution in Jharkhand, for instance, could structure a parametric policy that automatically covers loan repayments for small farmers if rainfall during the sowing season falls below 300 mm or temperatures cross 40°C.
This would help protect income during weather extremes, without requiring damage inspections.
Even in emerging sectors like renewable energy, such insurance has a role to play. A solar power firm operating in Rajasthan can link its policy to solar irradiance data. If sunlight hours drop significantly below expected levels for a given month, payouts will compensate for lost output. When climate-linked disruptions strike, liquidity is needed immediately—to buy seeds, cover interest costs, and quickly restore working capital. Parametric models remove subjectivity and replace it with automation.
Where it’s working
Parametric insurance is already being deployed across India and beyond. In parts of Rajasthan and U.P, a pilot protected thousands of women small-holder farmers from drought. It used a water balance index and delivered payouts automatically when water availability dropped below a defined threshold. When sowing conditions fail on rainfall deficits or extreme temperatures, the policy triggers loan support — aiding borrowers avoid defaults and maintain livelihoods. Globally, countries in Africa, the Pacific Islands, and even the U.K. have used parametric products to cover everything from droughts and floods to cyclone winds and flood depths. The examples prove such insurance works across contexts.
What India needs next
Parametric insurance has demonstrated its ability to deliver fast, transparent relief when climate volatility strikes. The building blocks are already in place—robust climate data, digital delivery platforms, and early success stories across agriculture, energy, and disaster-prone geographies. What’s needed now is scale — and a clear framework to finance it.
In 2024, Nagaland became the first Indian state to purchase multi-year parametric cover for landslides and extreme rainfall, using disaster mitigation funds. Other States now have the green light to act pre-emptively.
India must treat parametric insurance as essential climate infrastructure, much like UPI did for payments. That means expanding data networks, encouraging State-level adoption, and embedding smart cover into public disaster response. In a future shaped by climate uncertainty, it offers something rare viz. speed, trust and financial resilience when it matters most.
(The writer is co-founder & CBO, Policybazaar for Business)
Published – July 28, 2025 06:02 am IST
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