keyboard_backspace Back
|
All Articles & Blogs

Parametric Insurance for Extreme Heat: Setting right expectations

edit Sonali Gokhale | Aditya Chunekar | Ritu Parchure
grid_view Energy Demand, Efficiency & Access

Extreme heat is emerging as one of the major climate risks in India. Outdoor and informal workers are especially vulnerable. In this context, Parametric Insurance (PI) is increasingly being discussed as a potential heat adaptation intervention by offering a digital solution of quick, small payouts to insured individuals once temperatures cross a certain threshold. While parametric insurance offers certain advantages, it also has some conceptual limitations and operational challenges. In this article, we discuss both the strengths and limitations of parametric insurance highlighting the need to set realistic expectations about its role and impact.

Extreme heat is emerging as one of the major climate risks in India. Outdoor and informal workers are especially vulnerable. They have to choose between working under extreme heat and risking health consequences, or stop working and lose their income. It is a hard choice because their daily wages are necessary to meet basic household needs, and most of them have little or no savings to fall back on.

In this context, Parametric Insurance (PI) is increasingly being discussed as a potential heat adaptation intervention1. Philanthropic organizations and governments are exploring PI as an instrument to help vulnerable populations cope with the income-loss occurring due to extreme heat. Several insurance companies in India have launched weather-triggered insurance products, including policies linked to extreme heat2.

While parametric insurance offers certain advantages, it also has some conceptual limitations and operational challenges. These must be carefully examined before it can be regarded as an effective and scalable adaptation tool for extreme heat. In this article, we discuss both the strengths and limitations of parametric insurance highlighting the need to set realistic expectations about its role and impact.

Understanding parametric insurance

We first discuss parametric insurance in general, before turning to its application to extreme heat. PI is a non-traditional form of insurance designed to provide quick financial relief during rare and severe events3. Unlike conventional indemnity-based insurance, it does not assess individual losses. Instead, it makes automatic payments when a pre-defined threshold, such as a specific rainfall level, is crossed. These payouts are triggered using data from independent sources such as meteorological agencies. The payment amount is fixed in advance and is not meant to cover the full loss suffered by the policyholder.

It is important to note that parametric insurance was designed to complement, not replace, traditional indemnity-based insurance4. It provides rapid payouts triggered by predefined parameters to help businesses manage immediate financial stress after rare and severe events, offering short-term liquidity until actual losses are assessed and compensated under conventional insurance

Parametric insurance covers correlated risks i.e. risks that affect many policyholders simultaneously. For example, if a predefined rainfall threshold is crossed, the insurer must make payouts to all insured parties in that area simultaneously. Because losses occur together rather than independently, the scope for traditional risk pooling is limited. As a result, payout thresholds are usually set at relatively high levels and are determined based on the statistical probability of extreme events, rather than the possibility of actual damage occurring in individual cases. To manage the corelated risks, re-insurers are also usually involved, through which risks are spread across different geographies or diversified across various types of hazards.

Besides protecting businesses, parametric insurance has been used to protect communities against natural disasters that can be measured through a single index, such as rainfall levels or wind speed during storms5. More recently, parametric insurance models are being explored as a way to strengthen the financial resilience of workers exposed to extreme heat6,7. Under such arrangements, workers are covered by an insurance policy against predefined heat triggers. The premium may be paid by the workers themselves or by third parties such as philanthropic organisations. Payouts are triggered automatically when specified thresholds are crossed. In most cases, these triggers are based on temperature levels, though in some cases a composite index of temperature and humidity may be used. In some cases, the payouts increase progressively as heat intensity rises, for example, a smaller payout at the first trigger level and larger payouts as more severe thresholds are exceeded. The total payout amount is capped at a pre-specified limit under the policy.

Two critical aspects of the use of parametric insurance for extreme heat require further deliberation.

The threshold dilemma

Parametric insurance requires a clear and standardised threshold to trigger payouts. In India, heatwave alerts are currently issued by the India Meteorological Department (IMD) and are based primarily on absolute temperature levels8. However, scientific evidence shows that health risks from extreme heat depend on multiple factors beyond temperature alone9. These risks increase sharply beyond certain temperature levels but are also influenced by humidity, age, underlying health conditions, degree of exposure, and the nature of work performed. Vulnerability therefore varies across regions and population groups, and even individuals within the same city may face significantly different levels of heat exposure and health risk.

Heat indices that combine temperature and humidity can better reflect actual heat stress, and more refined indices may account for variations in exposure and vulnerability10. However, such context-specific indices are not yet well developed or standardised in India. Moreover, designing differentiated triggers for different categories of workers could improve risk alignment and pooling, but it would substantially increase product complexity and make communication more challenging, particularly in explaining why certain groups qualify for payouts at lower thresholds than others.

A related challenge concerns the level at which thresholds are set. If triggers are aligned closely with health impact data, they may be crossed frequently during Indian summers. This could result in repeated payouts and raise concerns about the financial sustainability of the product for private insurers. Conversely, if thresholds are determined using probabilistic models that focus only on rare and extreme events, payouts may occur only a few times in a season. In such a scenario, workers would remain exposed to harmful heat conditions on most days, with limited financial protection.

For example, we examined a parametric insurance product linked to extreme heat offered by a private insurance company in India. The policy can be purchased digitally, with premiums determined by an algorithm developed by the company’s AI technology partner. For a location in Pune, the payout threshold for April 2026 was set at 38°C. An analysis of temperature data over the past 10 years shows that this threshold was exceeded in 6 of those years. However, within those years, the number of days when temperatures actually crossed the threshold was relatively low, typically between 2 and 4 days.   During this period, the total net annual payout (after accounting for the premium paid that year) would come to Rs. 1100 in a couple of years and Rs 100 in others. These amounts appear insufficient to meaningfully offset the economic losses associated with extreme heat. Additionally, there would be 4 years in which premiums were paid but there were no payouts.

So, by design, parametric insurance is likely to provide limited protection, that too primarily during extremely severe heat days, rather than providing coverage throughout the entire summer season when workers are exposed to sustained heat stress. It is also assumed that when the threshold is crossed and a payout occurs, workers will take a break from work, thereby reducing health risks. However, whether workers actually forgo income and rest depends on multiple factors, including household financial stress. Without strong awareness campaigns and behavioural support, payouts may not necessarily translate into health protection.

Who pays the premium?

The second critical aspect in the use of parametric insurance for extreme heat concerns the question of who should bear the premium cost. Broadly, there are two possibilities. Either workers themselves pay the premium, or it is financed by a third party such as a philanthropic organisation, welfare board, employer where applicable, or the government. Each option presents distinct challenges.

Expecting financially vulnerable workers to pay premiums is likely to be difficult. Many of these workers already face significant income insecurity, and even the uptake of general health insurance remains low. The adoption of a specialised heat insurance product would therefore be even more challenging, despite the emergence of some products targeted at informal and outdoor workers.

The alternative is for a third party to pay the premium. In pilot initiatives undertaken in India so far, premiums have been supported by philanthropic organisations. In the future, welfare boards, employers, or government agencies may assume this responsibility. In certain sectors, such as construction or platform-based gig work, identifiable employers exist who could potentially purchase coverage for their workers. However, many heat-exposed workers are part of the informal economy and lack formal registration, which complicates enrolment. In some states this challenge may be partially addressed through existing welfare board databases or digital registries such as the e-Shram portal, which maintain records and bank account details of informal workers.

As the concept of parametric insurance is developed further, some issues will need careful consideration to ensure that any program is both effective and widely accepted. These include how subsidies for parametric insurance should be designed, who should provide them, and how costs should be shared among stakeholders. There are also challenges related to building trust at the community level, especially if individuals are expected to contribute a portion of the premium themselves.

A more fundamental concern relates to whether premium financing represents the most effective use of limited public or philanthropic resources. Funds allocated toward insurance premiums might alternatively be invested in systemic and preventive measures, such as workplace modifications, cooling infrastructure, urban design improvements, or strengthened public health responses. There is also a risk that the introduction of an insurance product may create the perception that the problem of extreme heat has been adequately addressed, thereby diverting attention from longer-term structural solutions. It is therefore essential to assess the costs of premium financing relative to the expected benefits and to compare this intervention carefully with alternative policy measures. So far, there has been limited work on quantifying the public health impacts of preventive measures for extreme heat. Developing a more nuanced understanding of these impacts could help inform more rational and effective allocation of limited public and philanthropic resources in responding to heat-related health risks.

Government and regulatory stewardship

State government intervention is a critical success factor if parametric insurance is to play a complementary role in addressing extreme heat exposure among informal workers in India. The design of any scheme should therefore be government-led, transparent, and open to public scrutiny. It should follow a consultative process with all the relevant stakeholders to determine key parameters such as trigger thresholds, payout structures, and exclusions. Equally important is sustained engagement with the communities intended to be covered. Close coordination with community members and their representatives can help build trust, improve scheme design, and ensure more effective outcomes.

In the example discussed earlier, the product page shows that the 38°C threshold was crossed each year over the past decade, but it does not indicate how often this occurred during the insured 30-day period. This limits a buyer’s ability to assess whether payouts will be meaningful after accounting for the premium. Therefore, alongside government oversight, the Insurance Regulatory and Development Authority of India (IRDAI) should more closely review how premiums are determined and how such products are marketed, especially those targeting low-income workers.

Conclusion

In summary, parametric insurance can provide some relief during extreme heat events, particularly by offering timely financial support on the most severe days. However, its protection is inherently limited to predefined trigger events and quantum of payout ratios, whereas workers experience heat related stress and income loss more regularly throughout the summer. It should therefore not be viewed as a comprehensive solution. It may also serve as a focal point for building awareness about heat related health risks, especially given evidence that many individuals underestimate the health impacts of extreme heat.

At the same time, careful regulatory oversight is essential, particularly for commercial products targeted at low-income workers. Existing administrative databases and worker registries can facilitate identification, enrolment, and benefit transfers. Government-backed schemes should involve close consultation with communities and use an open, transparent process to determine thresholds, premiums, exclusions, and other terms.

However, an important policy consideration remains whether premium financing represents the most effective use of limited resources. If public or philanthropic funds are constrained, it may be more impactful to invest in systemic and preventive measures that reduce heat exposure and vulnerability more broadly. Parametric insurance can play a constructive role, but it should be evaluated alongside alternative interventions to ensure that resources are allocated in the most efficient and equitable manner.

Suggested citation: Prayas (2026, April), ‘Parametric Insurance for Extreme Heat: Setting right expectations

 

We thank our colleagues Shantanu Dixit and Vinay Kulkarni for substantial inputs on the article. We would also like to thank Tanya Kak from Rohini Nilekani Philanthropies for reviewing the article and providing valuable comments.

 

Endnotes