Actuarial topic · Climate, risk and disclosure

Climate and sustainability for actuaries

Rates, reserves and capital are built on past experience. When the climate changes, that experience no longer describes the year ahead. This guide brings together what the actuarial profession is doing around the world, verified data on physical risk in Mexico, the new disclosure framework and a methodological proposal for an Actuarial Climate Index for Mexico, with calculators to measure the effect of rising frequency.

22.9 °C
national mean temperature in 2024, a record since 1953
76.0%
of the country in drought, May 31, 2024
$39,343 M
Otis claim payments according to AMIS (pesos)
Why it mattersThe professionPhysical risk in MexicoScenariosMexico indexIndex demoCalculatorExampleRegulationIFRS S1 and S2Risk transferHealth and heatCommon mistakesFAQFurther reading
01

Why climate is an actuarial problem

Every actuarial technique rests on an assumption that is rarely written down: that the process that generated the observed data will keep generating future data. The rate for a homeowners policy uses the claims experience of recent years; the hurricane risk premium comes from a catalog calibrated on historical tracks; the IBNR reserve extrapolates development patterns. Climate change breaks that assumption of stationarity. The mean and, above all, the tails of the distribution shift, and they do so at a pace comparable to the life of many contracts.

Supervisors and professional associations group the problem into three families. Physical risk is the direct damage: more intense hurricanes, extreme rainfall, long droughts, heat that sickens and kills. Transition risk arises from the economy's response: carbon taxes and technological and regulatory changes that write down assets in emissions-intensive sectors and affect the investments of insurers and pension funds. Litigation risk appears when companies or their executives are sued for contributing to the damage, for failing to adapt or for poor disclosure; for an insurer it translates into liability and directors and officers claims.

For the Mexican actuary the issue is not abstract. Otis turned a system that had been a tropical storm the day before into a Category 5 catastrophe, and 2023 and 2024 were, in turn, the driest and the hottest years in the national record. Those facts touch property ratemaking, catastrophe risk capital under the solvency regime, mortality and morbidity assumptions, investment policy and, since 2025, sustainability disclosure.

Stationarity versus trend
\[\text{Stationary: } N_t \sim \text{Poisson}(\lambda) \qquad \text{Nonstationary: } N_t \sim \text{Poisson}\big(\lambda(t)\big),\; \lambda(t) = \lambda_0\, g(t)\]

Nt is the number of events in year t. With constant λ, the return period 1/λ is a fixed property of the risk. With increasing λ(t), the "1 in 100" is no longer a constant: it depends on the year in which it is measured, and a rate calibrated on the historical average systematically underestimates future frequency.

02

What the actuarial profession is doing

Four international initiatives serve as references for this page. They are not the only ones, but they show the range: a practical knowledge hub, a regulatory review of what actuaries are doing, and two monitoring indices built on the same logic we propose for Mexico further on.

CAS · United States

Climate Insights Hub

The Casualty Actuarial Society brings together in one place research, articles, podcasts and education on climate risk in property and casualty insurance, under its "Climate Risk in Practice" initiative. Its featured work addresses ratemaking for severe convective storms, spatial dependence in flood, the effect of climate change on typhoons and the value of wildfire mitigation, and it links to the Actuaries Climate Index.

IFoA · United Kingdom

Thematic review of climate and sustainability

In December 2025 the Institute and Faculty of Actuaries published "Actuarial involvement in climate and sustainability work", a report from its actuarial monitoring scheme. Among participants, 90% reported more climate activity in their organization than 3 to 5 years earlier, 82% more involvement by actuaries, and 60% asked for more professional guidance; no one said there was too much. The report cites the Climate Scorpion and Planetary Solvency series as influences on scenario design.

AAA · CAS · CIA · SOA

Actuaries Climate Index (ACI)

Sponsored by the American Academy of Actuaries, the CAS, the Canadian Institute of Actuaries and the Society of Actuaries, it covers the United States and Canada in 12 subregions. It combines six components standardized against the 1961 to 1990 reference period, on 2.5 degree grid cells, and is published by meteorological season. It is the direct model for the Mexican proposal.

Actuaries Institute · Australia

Australian Actuaries Climate Index (AACI)

It follows the same idea with its own choices: a 1981 to 2010 reference period, thresholds at the 99th percentile (and the 1st for cold), data from Copernicus's ERA5 reanalysis, 19 regions and a five-year moving average as the headline indicator. Its composite index averages high temperature, rainfall, wind and sea level, and leaves out extreme cold.

What they share: none of these indices predicts losses. They measure how often extremes occur today compared with a base period, in comparable units. That modesty is their strength: they are verifiable, updated every quarter and serve as a common language among actuaries, regulators and the public.
03

Physical risk in Mexico: what the data say

The Servicio Meteorológico Nacional (SMN, National Weather Service) of CONAGUA (National Water Commission) publishes an annual Reporte del Clima en México (Climate Report for Mexico) with the national mean temperature, accumulated rainfall and the evolution of drought. The figures below are taken directly from those reports. They should be read with an actuarial caveat: the SMN changed its reference normal from 1981 to 2010 to 1991 to 2020 between its 2020 and 2022 reports, so anomalies for different years are not always comparable with each other. Absolute temperature is.

YearNational mean temperatureAnomaly (reference normal)What the SMN highlighted
202022.4 °C+1.4 °C (1981 to 2010)Tied with 2017 and 2019 as the warmest year since 1953 at the time.
202222.0 °C+0.6 °C (1991 to 2020)Eighth warmest year in the historical record since 1953.
202322.7 °C+1.3 °C (1991 to 2020)Warmest year up to that point and the driest year since 1941: 589.9 mm, 21.1% below average.
202422.9 °C+1.5 °C (1991 to 2020)Warmest year since 1953; May, with an anomaly of +2.9 °C, was the warmest May on record. On May 31, 76.0% of the country was in moderate to exceptional drought.
202522.6 °C+1.2 °C (1991 to 2020)Third warmest year since 1953, with rainfall 2.9% above average, which gradually reduced the areas in drought.
Source: SMN, CONAGUA, Reporte del Clima en México, annual reports for 2020, 2022, 2023, 2024 and 2025. The SMN notes that later calculations may differ as data are updated. According to the SMN, every year since 2005 has exceeded the 1991 to 2020 normal.
Hurricane

Otis, October 2023

The US National Hurricane Center report estimates that Otis intensified by 90 knots in just 21 hours and made landfall in Acapulco around 06:45 UTC on October 25 as a 140-knot Category 5 hurricane, the most intense landfall in the eastern Pacific since 1988. In October 2024 AMIS reported payments of 39,343 million pesos on 44,653 claims: the second costliest hurricane and the third most expensive loss in Mexican insurance, after the COVID-19 pandemic and Wilma.

Drought

The 2023 to 2024 episode

In January 2024 the Monitor de Sequía de México (Mexico Drought Monitor) recorded that 61.6% of the country was in moderate to exceptional drought, the January with the largest affected area since the monitor began (late 2002). The 2024 peak came on May 31 at 76.0%. For agricultural insurance, livestock and the water supply of cities and industry, drought is a slow, cumulative risk that single-event models do not capture well.

Heat

Extreme temperatures

The SMN's 2025 annual report documents 52.7 °C at the Mexicali station on August 7, 2025, and between 70 and 90 days with highs of 40 °C or more in parts of Baja California and Sonora from July to September. Heat is the climate hazard with the most direct effect on mortality and morbidity (section 12).

Flood

Extreme rainfall

Flooding combines intense rainfall, runoff, urban drainage and storm surge. It is the risk where exposure grows faster than the hazard: settlements in riverbeds and low-lying areas. That is why the proposed index measures maximum five-day rainfall, which is associated with overflows, rather than annual rainfall.

A note for ratemaking

A ten-year claims series that includes 2023 and 2024 is neither "normal experience" nor a pair of outliers to be trimmed. The right actuarial question is how much of the increase is trend, how much is variability (El Niño and La Niña, for example) and how much is new exposure. The three are treated differently in the rate, in reinsurance and in the credibility assigned to the company's own experience.

04

Climate scenarios: IPCC and NGFS

A scenario is not a forecast. It is a coherent trajectory of emissions, policies and economics that lets us ask "what would happen to my portfolio if". Actuaries use two families. The IPCC scenarios (Sixth Assessment Report, AR6) combine shared socioeconomic pathways (SSPs) with radiative forcing levels and are the basis for physical risk. Those of the NGFS, the network of central banks and supervisors, translate those trajectories into macrofinancial variables and combine physical and transition risk; they are the ones supervisors ask for in stress tests.

IPCC scenario2021 to 20402041 to 20602081 to 2100
SSP1-1.9 (very low emissions)1.5 (1.2 to 1.7)1.6 (1.2 to 2.0)1.4 (1.0 to 1.8)
SSP1-2.6 (low)1.5 (1.2 to 1.8)1.7 (1.3 to 2.2)1.8 (1.3 to 2.4)
SSP2-4.5 (intermediate)1.5 (1.2 to 1.8)2.0 (1.6 to 2.5)2.7 (2.1 to 3.5)
SSP3-7.0 (high)1.5 (1.2 to 1.8)2.1 (1.7 to 2.6)3.6 (2.8 to 4.6)
SSP5-8.5 (very high)1.6 (1.3 to 1.9)2.4 (1.9 to 3.0)4.4 (3.3 to 5.7)
Global surface warming in °C relative to 1850 to 1900: best estimate and very likely range. Source: IPCC AR6, Working Group I, Summary for Policymakers, Table SPM.1.

For the actuary, the most useful part of AR6 is not the mean temperature but what happens to the extremes. Figure SPM.6 quantifies how many times more often an event that was rare in the 1850 to 1900 climate occurs today, and would occur with more warming. These are averages over the planet's land areas, not values for Mexico, but they show the order of magnitude of the frequency problem.

Reference event (1850 to 1900 climate)Today (+1 °C)+1.5 °C+2 °C+4 °C
1-in-10-year extreme heat2.8 times4.1 times5.6 times9.4 times
1-in-50-year extreme heat4.8 times8.6 times13.9 times39.2 times
1-in-10-year heavy one-day precipitation1.3 times1.5 times1.7 times2.7 times
1-in-10-year agricultural and ecological drought (drying regions)1.7 times2.0 times2.4 times4.1 times
Frequency multipliers (best estimate) by level of global warming. Source: IPCC AR6 WGI, Figure SPM.6. These factors feed the presets of the calculator in section 07.

In November 2024 the NGFS published version 5.0 of its long-term scenarios, organized into four categories: orderly (Net Zero 2050, Low Demand, Below 2 °C), disorderly (Delayed Transition), hot house world (NDCs, Current Policies) and too little, too late (Fragmented World). Version 5.0 introduced a new damage function that markedly raises physical risk losses. In May 2025 the NGFS also published its first generation of short-term scenarios, with a three to five year horizon, closer to an insurer's planning horizon.

Practical use: the horizon rules. For the rate on an annual property policy, what matters is frequency over the next few years (short-term scenarios, observed trends, current-climate catalogs). For pension liabilities or long-term investments, what matters are trajectories to 2050 and beyond. Mixing both horizons into a single number is the most common mistake in first exercises.
05

Actuarial Climate Index for Mexico (methodological proposal)

Mexico does not yet have an actuarial index of climate extremes equivalent to the ACI or the AACI. This section describes precisely how one could be built, which we provisionally call the ICAM (Índice Climático Actuarial México), using public Mexican data and the same architecture as the North American and Australian indices. We do not publish index values: calculating them requires processing, quality-controlling and homogenizing daily series from thousands of stations, work we have not done. What follows is the specification, designed so that a professional working group, a university or a graduate student can replicate it.

Components
CodeComponentOperational definitionRisk it proxies
T90Extreme heatPercentage of days with maximum temperature (and, on average, minimum temperature) above the 90th percentile for that calendar day in the base period, with a five-day window. Equivalent to the ETCCDI indices TX90p and TN90p.Heat-related mortality and morbidity, electricity demand, crop stress.
T10Extreme coldPercentage of days below the 10th percentile (TX10p and TN10p). Enters with a negative sign: less extreme cold raises the index, as in the ACI.Frosts, pests that survive warmer winters.
PHeavy rainfallMaximum precipitation accumulated over five consecutive days within the month or season (Rx5day).River and urban flooding, landslides.
DDroughtMaximum number of consecutive dry days (daily precipitation below 1 mm) in the year (CDD), interpolated for monthly and seasonal values.Agricultural and livestock insurance, water supply, wildfires.
WHigh windFrequency of days with wind power above the 90th percentile of the base period. Power is \(\tfrac12 \rho w^3\), where w is the mean daily wind speed and ρ the air density, because damage grows with the cube of wind speed.Hurricane and windstorm damage to property and agriculture.
SSea levelMonthly mean level recorded by tide gauges, measured relative to land (combining sea level rise and land movement). Applies only to coastal regions.Storm surge, coastal erosion, flooding of port and tourism infrastructure.
Definitions of T90, T10, Rx5day and CDD follow the list of 27 indices of the ETCCDI (Expert Team on Climate Change Detection and Indices); the component structure follows the Actuaries Climate Index.
Reference period

We propose 1961 to 1990 as the main base period, for three reasons: it is the period used by the ACI and the ETCCDI, which allows Mexico to be compared with the United States and Canada; it predates most of the recent warming, so the index measures the change rather than absorbing it; and the SMN keeps national series back to 1953. As a secondary series, the index would be recalculated against 1991 to 2020, the normal the SMN uses today, to align with its reports. Publishing both avoids the confusion seen in the table in section 03, where the same country appears to warm less or more depending on the normal used.

Standardization and aggregation
Standardized anomaly for each component
\[z_{c,r,s,y} = \frac{x_{c,r,s,y} - \bar{x}_{c,r,s}^{\,base}}{\sigma_{c,r,s}^{\,base}}\]

x is the value of component c in region r, season s and year y; the mean and standard deviation are computed from the 30 values for the same region and season in the base period. The result is unitless: z = 2 means the value is two standard deviations above normal for that region and time of year, which allows millimeters, days and knots to be added together.

Regional composite index
\[ICAM_{r,s,y} = \frac{1}{K_r}\left(z_{T90} - z_{T10} + z_{P} + z_{D} + z_{W} + \mathbb{1}_{coastal}(r)\, z_{S}\right)\]

Kr is the number of available components: 6 in coastal regions and 5 in inland regions, which have no sea level component. The negative sign on T10 makes a decline in extreme cold add to the index. As with the ACI, it would be published by meteorological season (quarters ending in February, May, August and November) and with a five-year moving average to separate signal from noise.

National aggregate
\[ICAM_{s,y}^{MX} = \sum_{r} w_r\, ICAM_{r,s,y}, \qquad \sum_r w_r = 1\]

The reference version weights by area (wr equal to the region's share of the national territory), like a physical index. An actuarial variant would weight by insured exposure or by population, bringing it closer to a risk indicator for the industry; it should be published separately and the two readings should never be mixed.

Mexican data sources

SMN and CONAGUA: conventional climatological network

The SMN makes available the historical data of more than 5,000 climatological stations in CONAGUA's national network, more than 2,000 of which are still reporting, with maximum and minimum temperature, 24-hour precipitation and evaporation from the first recorded observation. They feed T90, T10, P and D.

Automatic Weather Stations (EMA)

The conventional network does not measure wind systematically; the W component would depend on the SMN's automatic stations, whose series are shorter. Until they reach 30 years, W could be calculated from a global reanalysis (the AACI uses ERA5) and documented as a provisional component.

Tide gauges: UNAM, SEMAR and CICESE

The Servicio Mareográfico Nacional (National Tide Gauge Service) of UNAM's Institute of Geophysics operates 27 stations (12 on the Pacific and 15 on the Gulf of Mexico and the Caribbean). The Navy (SEMAR) and CICESE, the latter mainly in the northwest, maintain their own networks. S requires long, continuous series, so only stations above a completeness threshold would be included.

Quality control and homogenization

No index is better than its data. Before calculating, impossible values are removed, a minimum number of valid days per month is required (for example, 80%) and jumps due to instrument changes or station relocations are corrected. Series are interpolated to a regular grid, as the ACI does with 2.5 degree cells, so that regions with many stations do not weigh more than those with few.

Suggested regions

A natural starting point is CONAGUA's hydrological-administrative regions, or a grouping of them into climatically homogeneous zones: arid northwest, Gulf of California, central and southern Pacific, central highlands, Gulf of Mexico and the Yucatán Peninsula. The final choice should balance climatic homogeneity, station density and usefulness for the insurance market.

06

Index demonstration calculator

LabIllustrative: hypothetical data

How the ICAM combines for one region and season

The preloaded values are made up to show the mechanism; they do not describe any real region of Mexico. Change the observed value, the base period mean and the standard deviation of each component and see how it is standardized and aggregated.

ComponentObservedBase meanBase std. dev.Signed z
T90 (% of days)·
T10 (% of days)·
P, Rx5day (mm)·
D, CDD (days)·
W, P90 power (W/m²)·
S, mean level (mm)·
·
Regional ICAM (standard deviations)
·
Components averaged
·
Largest contributing component

07

Calculator: return period and premium when frequency rises

The question a board of directors asks most often about climate change is simple: if the event that used to be 1 in 100 years is now 1 in 50, how likely is it to occur during the life of a mortgage or a concession, and how much should it cost to cover? The calculator answers with a Poisson model. The presets use the IPCC frequency multipliers from section 04; applying them to a specific Mexican risk is an assumption the user must justify.

LabIllustrative

From "1 in 100" to "1 in 50"

With annual frequency \(\lambda = m/T_0\): probability of at least one event in n years \(1 - e^{-n\lambda}\) and annual pure premium \(\lambda \cdot S\), where S is the mean loss per event.

·
New return period
·
Prob. of at least one event in a year: before and now
·
Prob. of at least one event over the horizon: before and now
·
Annual pure premium (millions): before and now
·
Increase in pure premium
·
Years to 50% probability: before and now

08

Worked example: a flood that becomes twice as frequent

An insurer covers an industrial park exposed to a flood that, based on historical information, has a 100-year return period and would cause a mean loss of 500 million pesos. A hydrological study concludes that, in the current climate, the frequency has doubled. The loans financing the park mature in 30 years. Use the calculator's Poisson model.

  1. Annual frequencies: before λ0 = 1/100 = 0.01; now λ1 = 2 × 0.01 = 0.02. The new return period is 1/0.02 = 50 years.
  2. Probability of at least one event in a year: before 1 - e-0.01 = 0.995%; now 1 - e-0.02 = 1.980%. In a single year the difference looks small.
  3. Probability over 30 years: before 1 - e-0.3 = 25.92%; now 1 - e-0.6 = 45.12%. What used to be "one in four" is now almost "one in two" over the life of the loan. With the binomial formula 1 - (1 - p)30 the values would be 26.03% and 45.45%: the difference between the two models is smaller than the uncertainty in the assumption.
  4. Annual pure premium: before 0.01 × 500 = 5 million; now 0.02 × 500 = 10 million. The risk premium doubles because it is linear in frequency; capital loadings grow even more if the loss also shifts in the tail.
  5. Years for the cumulative probability to reach 50%: before ln 2 / 0.01 = 69.3 years; now ln 2 / 0.02 = 34.7 years.
  6. Contrast with extreme heat: if a 1-in-50-year event now occurs 4.8 times more often (IPCC), its return period falls to 50/4.8 = 10.4 years and the probability of seeing it at least once in 30 years rises from 45.1% to 94.4%.
Lesson: a change that looks like "one percentage point" in annual probability nearly doubles the probability of damage over the horizon of a financing and doubles the pure premium. Communicating climate risk over contract lifetimes, rather than in annual probabilities, is one of the most useful contributions an actuary can make to a board.
09

Regulation and disclosure in Mexico

Between 2023 and 2025 Mexico went from having no specific rules to a disclosure and ESG risk management framework with several pieces. For the insurance actuary, what matters is that climate risks are no longer only a catastrophe underwriting issue: they come in through investment policy, the enterprise risk management system, the RCS (solvency capital requirement) and public reporting.

CINIF Sustainability Reporting Standards (NIS)

On May 13, 2024 the Consejo Mexicano de Normas de Información Financiera y de Sostenibilidad (CINIF) published NIS A-1, the conceptual framework, and NIS B-1, which sets out 30 Basic Sustainability Indicators covering environmental, social and governance matters (including scope 1, 2 and 3 emissions, water consumption and the gender pay gap). They took effect for periods beginning on or after January 1, 2025, with early adoption permitted. CINIF presents them as a first stage toward convergence with the ISSB's IFRS S standards and announced that the second stage will begin with climate disclosure.

Mexico's Sustainable Taxonomy (SHCP, 2023)

The Ministry of Finance (SHCP) published the first edition on March 16, 2023. It is a classification system for activities with environmental objectives (climate change mitigation and adaptation) and social objectives (gender equality and access to basic services in sustainable cities), with 124 activities in six sectors, metrics, thresholds and do-no-significant-harm criteria. It is not mandatory in itself, but insurance regulation already refers to it.

CNSF: ESG criteria in the CUSF (Amending Circular 2/24)

Published in the DOF (Official Gazette) on June 5, 2024 and effective January 1, 2025, the amendment brings environmental, social and governance criteria into the CUSF (Single Insurance and Surety Circular): investment policy must analyze assets using ESG criteria and, where applicable, the SHCP Taxonomy; the enterprise risk management system must consider how risks interact with ESG factors, including their effect on the RCS; and the Solvency and Financial Condition Report must disclose the criteria applied.

CNBV: issuers and IFRS S1 and S2

On January 28, 2025 the CNBV (National Banking and Securities Commission) published in the DOF the amendment to the Circular Única de Emisoras (Single Issuers Circular) requiring securities issuers to file an annual sustainability report under IFRS S1 and S2. Independent assurance is phased in: none for fiscal year 2025, at least limited for 2026 and reasonable for 2027. Regulated financial entities were not immediately subject to it; the CNBV announced differentiated requirements for their gradual inclusion.

Banco de México

Banco de México is one of the eight founders of the NGFS, announced at the One Planet Summit in Paris in December 2017. In May 2020, together with the United Nations Environment Programme, it published a diagnostic of climate and environmental risks and opportunities in the Mexican financial system (released in English as "Climate and environmental risks and opportunities in Mexico's financial system: From diagnosis to action"), based on a survey of more than 60 institutions representing, among others, 44% of insurers' assets.

What changes for the actuarial function

If the ARSI (own risk and solvency assessment) and the risk management system must consider ESG factors and their interaction with the RCS, someone has to quantify that interaction. The actuary is the natural candidate: able to translate an NGFS scenario or a frequency multiplier into PML, risk premium and capital, and to document the assumptions with the rigor required by the actuarial standards of practice.

10

IFRS S1 and S2: the global disclosure standard

The International Sustainability Standards Board (ISSB) issued its first two standards on June 26, 2023. IFRS S1 sets general requirements for disclosing sustainability-related risks and opportunities that could affect the company's prospects in the short, medium and long term. IFRS S2 develops climate-related disclosure and is applied together with S1. Both fully incorporate the TCFD recommendations (governance, strategy, risk management, metrics and targets) and apply to annual periods beginning on or after January 1, 2024, subject to adoption by each jurisdiction; in the first year, climate-only disclosure is permitted.

S2 requires, among other things, assessing the resilience of strategy to climate change through scenario analysis, and disclosing scope 1, 2 and 3 greenhouse gas emissions. For an insurer, scope 3 emissions include those "financed" by its investments, and scenario analysis of the insurance portfolio is, in essence, an actuarial exercise: projecting claims, premiums and capital under alternative trajectories.

The link to IFRS 17 is direct. The same fulfillment cash flows projected to measure insurance contracts are the raw material for showing how they would change under a climate scenario. Consistency between the two disclosures will be scrutinized by auditors and supervisors.

Governance

Who oversees

Which body oversees climate risks and how they are built into remuneration and decisions.

Strategy

Scenarios and resilience

Current and anticipated effects on financial position, with scenario analysis proportionate to the entity's capabilities.

Metrics

Emissions and targets

Scopes 1, 2 and 3, industry-based metrics and targets, with progress against them.

11

Risk transfer: catastrophe bonds, parametric insurance and the end of FONDEN

According to the World Bank, in 2006 Mexico was the first government to use the catastrophe bond market to finance its risk, and by 2024 it had sponsored 20 bonds. In April 2024 the World Bank placed bonds for Mexico totaling 420 million dollars (earthquake and Atlantic storms), and in May another 175 million for Pacific hurricanes: 595 million in force until April 2028. The bonds are parametric: they pay if the event meets parameters of magnitude, location or central pressure, not according to measured loss.

The federal government complements the bonds with parametric insurance placed through Agroasemex. At the June 2026 renewal the parametric cover doubled to 10,000 million pesos (about 575 million dollars) for earthquake, volcanic eruption, hurricane and flood of medium to high severity, in force from June 5, 2026 to May 5, 2027. Together with the outstanding bonds, total parametric protection is around 1,170 million dollars.

The most important institutional change was the abolition of the Fondo de Desastres Naturales (FONDEN, Natural Disaster Fund). The decree published in the DOF on November 6, 2020 abolished 109 public trusts, including FONDEN's, which according to IMCO held 35,140 million pesos at the end of 2020; the SHCP formalized its dissolution in 2021. Since then, disaster funding has been allocated in the annual budget, with no ability to accumulate from one year to the next. For an actuary, this amounts to moving from a reserve fund to a pay-as-you-go scheme: risk transfer, which used to complement the fund, now carries a larger share of the protection.

Basis risk: a parametric instrument pays quickly because it does not wait for loss adjustment, but it may fail to pay when there is damage, or pay too much. With a changing climate, trigger boxes calibrated on historical tracks can become misaligned with future events. Reviewing triggers in light of rapid intensification (the Otis case) is actuarial work. More detail in catastrophe risk and reinsurance.
12

Heat-related health and mortality

The General Directorate of Epidemiology of the Ministry of Health monitors health effects of extreme natural temperatures every year. At the preliminary close of the 2023 heat season (epidemiological weeks 12 to 40), 4,306 cases and 421 deaths were reported, concentrated in Sonora (117), Nuevo León (102), Baja California (54), Tamaulipas (32) and Veracruz (31); 165 were attributed to the third heat wave, from June 1 to 22.

Those figures count confirmed heatstroke and dehydration, not total excess deaths. Much heat-related mortality is recorded as cardiovascular, renal or respiratory, so epidemiological surveillance underestimates the effect. For a life and health actuary the right tool is excess mortality: comparing observed deaths with those expected by age, sex, region and week, a technique the pandemic made familiar.

There are three practical implications. In medical expense insurance, more frequent heat waves raise hospitalization rates among older adults and outdoor workers. In life insurance, heat adds seasonal volatility to mortality that an annual table does not see. And in pensions and life annuities the net effect is uncertain: heat raises mortality among the elderly, but long-term longevity improvements depend much more on other factors. Without supporting data, longevity assumptions should not be adjusted for climate; their sensitivity should be tested.

13

Common mistakes

Treating extreme years as outliers

Trimming 2023 or 2024 from a series because they "were exceptional" understates the trend. If they are excluded, it must be with explicit justification and a separate trend adjustment.

Comparing anomalies against different normals

An anomaly of +0.6 °C against 1991 to 2020 is not "less heat" than one of +1.4 °C against 1981 to 2010. Before comparing, bring everything to the same base or use absolute values.

Using long-term scenarios for one-year decisions

A scenario to 2100 says nothing useful about the rate at the next renewal. Match the scenario horizon to the decision horizon.

Applying global multipliers without adapting them

The IPCC factors are averages over all of the planet's land areas. For a Mexican region they may be higher or lower; without regional evidence, use them as a sensitivity, not as a central assumption.

14

Frequently asked questions

Is there already an actuarial climate index for Mexico?
Not as far as we could verify. There is the Actuaries Climate Index for the United States and Canada and the Australian Actuaries Climate Index. This page proposes a methodology for Mexico using data from the SMN, CONAGUA and the tide gauge networks, but does not publish values because calculating them requires processing and homogenizing daily series from thousands of stations.
Why does the index use standardized anomalies rather than degrees or millimeters?
Because it combines variables with different units: percentage of days, millimeters, dry days, wind power and sea level. Dividing the deviation from the base period mean by that period's standard deviation produces unitless numbers that can be averaged. It is the method used by the ACI and the AACI.
If an event goes from 1 in 100 to 1 in 50 years, does the premium double?
The pure premium, which is frequency times mean loss, doubles if severity does not change. The gross premium may rise more, because required capital and the cost of reinsurance depend on the tail of the distribution, which tends to move along with frequency.
Are Mexican insurers required to disclose climate risks?
Since January 1, 2025 the CUSF has required incorporating environmental, social and governance criteria into investment policy, into enterprise risk management, considering their interaction with the RCS, and into the Solvency and Financial Condition Report. In addition, CINIF's NIS have been in force since 2025 for entities that issue financial statements under NIF, and the CNBV announced differentiated requirements for financial entities.
What happened to FONDEN?
The decree published in the DOF on November 6, 2020 abolished 109 public trusts, including FONDEN's, and the SHCP formalized its dissolution in 2021. Since then, disaster funding has depended on the annual budget, while the government maintains catastrophe bonds with the World Bank and parametric insurance placed through Agroasemex.
Which climate scenarios should I use in a stress test?
For long-term physical risk, the IPCC AR6 SSP pathways; for macrofinancial and transition analysis, the NGFS scenarios, whose version 5.0 dates from November 2024, and its May 2025 short-term scenarios when the horizon is three to five years. What matters is that the scenario horizon matches the decision horizon.
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Further reading

Sources consulted
  1. Actuaries Climate Index: About (methodology and components)
  2. Actuaries Climate Index: Component Definitions
  3. Actuaries Institute: Australian Actuaries Climate Index, FAQs
  4. Casualty Actuarial Society: Climate Insights Hub
  5. IFoA: announcement of the thematic review report on climate and sustainability (December 2025)
  6. IFoA: Actuarial involvement in climate and sustainability work (PDF)
  7. ETCCDI: definitions of the 27 climate extremes indices
  8. SMN, CONAGUA: Reporte del Clima en México (annual reports 2020 to 2025)
  9. SMN: Reporte Anual del Clima en México 2024 (PDF)
  10. SMN: Reporte Anual del Clima en México 2025 (PDF)
  11. SMN: Información Estadística Climatológica (station network)
  12. SMN: Monitor de Sequía de México (Mexico Drought Monitor)
  13. Gaceta UNAM: the Servicio Mareográfico Nacional turns 70
  14. GLOSS: Mexico national report on sea level networks (UNAM, SEMAR, CICESE)
  15. National Hurricane Center: Tropical Cyclone Report, Hurricane Otis (PDF)
  16. CNN en Español: Otis, Mexico's third costliest insured loss according to AMIS
  17. Ministry of Health: Extreme natural temperatures, 2023 heat season, week 40 (PDF)
  18. IPCC AR6, Working Group I: Summary for Policymakers (PDF)
  19. NGFS: climate scenarios portal
  20. Forvis Mazars: the NGFS Phase V scenarios and their new damage function
  21. IFRS Foundation: ISSB issues IFRS S1 and IFRS S2 (June 26, 2023)
  22. EY: effective dates and transition reliefs for IFRS S1 and S2
  23. PwC México: issuance of NIS A-1 and B-1
  24. Forvis Mazars México: the NIS and the first report in 2026
  25. Veritas: adoption of ESG criteria in the insurance sector
  26. Galicia Abogados: CUSF Amending Circular 2/24, ESG criteria (PDF)
  27. Holland & Knight: Mexico's Sustainable Taxonomy
  28. KPMG México: the CNBV adopts IFRS S1 and S2 for issuers
  29. Joint statement by the founding members of the NGFS (December 2017)
  30. UNDP: Banco de México and UNEP present a diagnostic of climate risks in the financial system (2020)
  31. World Bank: 420 million dollars in catastrophe bonds for Mexico (April 2024)
  32. World Bank: 175 million dollar catastrophe bond for Pacific hurricanes (May 2024)
  33. Artemis: Mexico doubles its parametric insurance at the 2026 renewal
  34. IDC Online: abolition of 109 public trusts published in the DOF (November 6, 2020)
  35. IMCO: the elimination of FONDEN
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