H Heuristics Digital Reports

H Heuristics · Digital Report № 2026-46 · October 2026

Human Survivability Under the Global Polycrisis

Mapping exposure, adaptive capacity, and systemic threats across the century

Humanity's death toll from natural disasters has fallen more than tenfold per person since the 1960s, not because hazards eased but because people became better able to survive them. This dashboard measures that capacity, sets it against the exposure and hazard growth projected for the rest of the century, and shows in which worlds — and which places — capacity keeps winning the race, and where it loses.

AuthorHunter Hughes
InstitutionH Heuristics
Published21 October 2026
Report №2026-46
Reading time18 min

Abstract

This report asks whether humanity's capacity to survive hazards can keep pace with rising exposure and climate-driven hazard over the rest of the century. It combines EM-DAT disaster records (via Our World in Data) for 1900–2024, adult educational attainment reconstructed and projected by the Wittgenstein Centre for five Shared Socioeconomic Pathways, the IPCC Sixth Assessment Report's assessed warming trajectories and extreme-event frequency multipliers, and INFORM hazard scores for 157 countries.

The historical record shows capacity outpacing threat. Recorded disaster deaths averaged about 520,000 a year in the 1920s and 45,000 in the 2010s, while world population quadrupled; per million people, the toll fell from 99 a year in the 1960s to 6 in the 2010s, even as the number of people recorded as affected rose into the hundreds of millions. In a panel of 147 countries since the 1970s, each additional year of adult schooling within a country is associated with about 32% fewer deaths per 1,000 people affected (country and decade fixed effects), an effect that survives controlling for income.

Projected forward, expected disaster deaths depend on three forces: population exposure, hazard frequency — a former 1-in-10-year heat extreme becomes 4.1 times as frequent at 1.5 °C and 9.4 times at 4 °C — and capacity. If schooling's historical protective effect holds, expected deaths fall by two-thirds to four-fifths by 2100 in sustainability (SSP1), middle-of-the-road (SSP2) and fossil-fuelled (SSP5) worlds. In a fragmented SSP3 world they stay near today's level overall but rise in 107 of 157 countries and fourfold in sub-Saharan Africa, because population growth and hazard outrun schooling gains of only 1.7 years. Under the weakest effect consistent with the data, deaths nearly double in SSP3.

Disasters are only part of the polycrisis: air pollution, pandemics, armed conflict, famine and debt kill or impoverish far more people and are not reduced by local capacity alone. The report closes with the investments that keep capacity ahead — universal education, early warning, health and social protection, heat-health systems where schooling has saturated — and the systemic threats that require collective action. A century-long seismogram, capacity evidence, hazard curves, a scenario race with an adjustable capacity effect, a regional breakdown, an atlas and a threat register accompany the analysis.


Overview

Survivability is a race between threat and capacity. For seventy years capacity has been winning. Whether it keeps winning depends on which century we choose.

The polycrisis is often described as a set of rising threats: hotter extremes, heavier floods, deeper droughts, more people in harm's way, and shocks that spread through tightly coupled systems. Each of these is real. But the number of people killed by natural hazards depends as much on what people can do to protect themselves as on the hazards themselves — warnings that reach them, homes and hospitals that stand, governments that evacuate and relieve, and the knowledge to act in time. Over the past seventy years that capacity has grown faster than the threat. Per person, disasters now kill a fraction of what they did in the mid-twentieth century, even as far more people are recorded as affected.

This dashboard measures that race and runs it forward. It uses the long record of disaster deaths and people affected, the Wittgenstein Centre's reconstruction and projections of educational attainment — a strong and well-measured marker of adaptive capacity — and the IPCC's assessments of how warming changes the frequency of hot extremes, heavy rainfall and drought. It estimates how much capacity has protected people within countries, projects expected disaster deaths to 2100 under four Shared Socioeconomic Pathways, and maps where capacity falls behind. It then steps back to the systemic threats that local capacity alone cannot meet.

99 → 6
Recorded disaster deaths per million people a year, 1960s against the 2010s, while people recorded as affected rose to about 180–230 million a year
EM-DAT via Our World in Data
−32%
Deaths per 1,000 people affected for each additional year of adult schooling, comparing each country with itself across decades
Wittgenstein Centre · EM-DAT · author's analysis
×9.4
Frequency of a former 1-in-10-year hot extreme over land at 4 °C of warming (×4.1 at 1.5 °C); heavy rainfall ×2.7, farm drought ×4.1
IPCC AR6 WGI, Figure SPM.6
−69%
Change in expected disaster deaths by 2100 in a middle-of-the-road SSP2 world (2.7 °C) if schooling's historical protective effect holds
Author's projection
107 of 157
Countries where expected disaster deaths rise by 2100 in a fragmented, high-warming SSP3 world, despite schooling gains
Author's projection
×4.1
Expected disaster deaths in sub-Saharan Africa by 2100 under SSP3, as population grows fivefold in exposure terms and hazards double
Author's projection
2.1 vs 1.7
Years of extra adult schooling the world needs by 2100 to hold disaster deaths steady under SSP3, against the 1.7 years that world delivers
Author's projection
8.1 m
Deaths from air pollution in 2021 — over a hundred times the yearly toll of recorded disasters, and one of several systemic threats local capacity alone cannot meet
State of Global Air 2024

The argument in brief

Capacity has been winning. Disaster deaths per person have fallen more than tenfold since the 1960s, and within countries each extra year of adult schooling has cut deaths among the people affected by about a third. The threat is rising: extremes become several times more frequent with each degree of warming, and population grows fastest where hazards and poverty overlap. Run forward, capacity keeps winning in most futures — expected deaths fall by two-thirds or more by 2100 in SSP1, SSP2 and SSP5 — but not in a fragmented SSP3 world, where slow education, fast population growth and high warming push deaths up in two-thirds of countries and fourfold in sub-Saharan Africa. And disasters are the smaller part of the polycrisis: pollution, pandemics, conflict and famine kill far more, and need collective as well as local capacity.

Three caveats frame everything that follows. Disaster records undercount, especially heat deaths outside Europe and deaths in places without functioning statistics, and a handful of mega-disasters — the 2004 Indian Ocean tsunami, the 2010 Haiti earthquake, Cyclone Nargis — dominate the totals. Schooling is a marker rather than the whole of capacity: it travels with income, health systems, warning systems and better institutions, and its estimated effect has a wide uncertainty range, which the dashboard lets you vary. And the projection models only what it can measure — population, hazard frequency and capacity — not sea-level rise, storm intensification, compound events or the collapse of capacity in war.

Section 1 shows the century-long record. Section 2 measures what capacity buys, section 3 the rising threat, and section 4 runs the race to 2100. Section 5 shows where it is lost, section 6 maps it, section 7 turns to the systemic threats beyond disasters, and section 8 sets out how to keep capacity ahead.


1. A Century of Survival

The deadliest disasters are mostly behind us — not because nature calmed, but because people learned to survive it.

The record kept by the EM-DAT international disaster database stretches back to 1900. Its early decades are dominated by catastrophes of a scale that has not been repeated: the Chinese floods of 1931, which EM-DAT records as killing about 3.7 million people, recurring droughts and famines, and earthquakes that levelled cities. Recorded deaths averaged about 520,000 a year in the 1920s and 330,000 in the 1960s. By the 2010s the average had fallen to about 45,000 a year, and in 2020–24 it was about 60,000, inflated by the 2023 earthquakes in Türkiye and Syria.

Population quadrupled over the same century, so the decline per person is steeper still: from about 99 deaths per million people a year in the 1960s to 25 in the 1970s, 8 in the 1990s and 6 in the 2010s. Meanwhile, the number of people recorded as affected by disasters rose from a few million a year in the 1950s to around 180–230 million a year in the 1990s–2010s. Part of that rise reflects better reporting, but part is real: more people live in floodplains, coastal cities and drylands. More people are hit; far fewer die.

The record should be read with care. Reporting improved enormously, which makes early totals uncertain in both directions; heat deaths are badly under-recorded outside Europe; and a single event can dominate a decade. But the direction is not in doubt, and it is the starting point for any discussion of survivability: the gap between exposure and death is where capacity lives. The masthead trace shows the record year by year, with this report's projections to 2100 for four scenarios.

Recorded disaster deaths, 1900–2024

EM-DAT via Our World in Data · red = years with more than 100,000 deaths

Show

2. What Capacity Buys

Comparing each country with itself, every additional year of adult schooling has cut deaths among people hit by disasters by about a third.

Capacity is hard to measure directly, but education is a strong proxy. Educated populations understand and act on warnings, build and maintain safer homes, earn the incomes that buy protection, use health services and demand competent governments. Lutz, Muttarak and Striessnig argued in 2014 that universal education is key to climate adaptation, based on evidence that education reduces disaster vulnerability. This report tests the relationship with current data, using the Wittgenstein Centre's estimates of mean years of schooling among adults aged 25 and over, weighted by population across age groups.

The measure of vulnerability is deaths per 1,000 people affected by floods, storms, earthquakes, landslides, heat, wildfires and volcanoes — excluding droughts, for which deaths are rarely recorded alongside the very large numbers affected. Across 147 countries and six decades since the 1970s, the median country's fatality ratio fell from about 0.7 per 1,000 affected in the 1970s–1990s to 0.3 in the 2010s, while its adults' schooling rose from about 3 years to more than 8.

Comparing each country with itself, and removing changes common to all countries in each decade, one more year of adult schooling is associated with about 32% fewer deaths per 1,000 affected (t = −2.4). The estimate barely changes when income is added, and income itself adds nothing once schooling is included. The uncertainty is wide — the 95% range runs from about 7% to 50% per year — and schooling stands in for the broader capacity it helps create. But it is the most robust lever in the data, and it can be projected, because the Wittgenstein Centre projects schooling for every country under each scenario.

Fewer deaths among those affected

Median across countries by decade · deaths per 1,000 affected (excl. drought) and adult schooling

Within countries: more schooling, fewer deaths

147 countries, 1970s–2020s · both axes net of country and decade averages · ten equal bins


3. The Rising Threat

Each increment of warming makes yesterday's rare extremes routine — heat fastest of all.

The IPCC's Sixth Assessment Report quantified how the frequency of extremes rises with global warming. A hot extreme over land that occurred once a decade in the late nineteenth century is now about 2.8 times as frequent at roughly 1 °C of warming; it becomes 4.1 times as frequent at 1.5 °C, 5.6 times at 2 °C and 9.4 times at 4 °C. A once-a-decade heavy daily rainfall becomes 1.5 times as frequent at 1.5 °C and 2.7 times at 4 °C, and a once-a-decade agricultural drought in drying regions 2.0 and 4.1 times. These are median estimates, with uncertainty ranges shown in the IPCC figure.

The warming those multipliers apply to depends on the path. Using the IPCC's assessed central projections, warming averages about 1.8 °C in 2081–2100 under SSP1-2.6, 2.7 °C under SSP2-4.5, 3.6 °C under SSP3-7.0 and 4.4 °C under SSP5-8.5, and keeps rising to 2100 in all but the first. Each country's hazard in the projection is weighted by its own mix of disaster deaths since 2000: heat-dominated tolls, as in Europe, rise fastest; flood and drought tolls rise more slowly; and deaths from earthquakes, volcanoes and storms are held constant, since warming does not change earthquake frequency and the IPCC projects more intense rather than more frequent tropical cyclones.

Exposure is the third force. The Wittgenstein Centre's projections show world population peaking within the century in most scenarios, but growing strongly in the poorest and most hazard-exposed countries under SSP3, where fertility stays high and education spreads slowly. In that world, the population of sub-Saharan Africa in particular grows several-fold in exposure-weighted terms — more people, in the places where disasters are deadliest, at the time hazards are most frequent.

How often former 1-in-10-year extremes occur

IPCC AR6 WGI Figure SPM.6 · median frequency multiplier vs 1850–1900

Warming by scenario

IPCC AR6 WGI Figure SPM.8 · assessed mean global surface air temperature change


4. The Race to 2100

If capacity keeps protecting people as it has, it outruns rising hazard in most futures — but not in a fragmented world.

The projection multiplies each country's average yearly disaster deaths in 2000–24 by three factors: its population relative to 2020 under each scenario, its hazard frequency relative to 2020 at each year's warming, and the protective effect of its projected gain in adult schooling. In the sustainability scenario SSP1, schooling rises from a population-weighted 8.1 years to 13.6 by 2100, warming stays below 2 °C and population shrinks slightly; expected deaths fall by more than 80%. In the middle-of-the-road SSP2 they fall by about 69%, and in the fossil-fuelled SSP5 — fast growth and education, but 4.7 °C of warming by 2100 — by about two-thirds, because capacity rises so fast.

The fragmented SSP3 world, with high warming, slow development and rapid population growth in the poorest countries, is different. Schooling rises only from 8.1 to 9.8 years, population exposure grows by about half and hazard frequency by almost as much. Expected deaths stay near today's level worldwide but rise in 107 of 157 countries, and the race is lost decisively in sub-Saharan Africa. To hold world disaster deaths steady in SSP3 would take about 2.1 additional years of adult schooling — more than that world delivers. Without any capacity gains, deaths would rise by half in SSP2 and SSP5 and more than double in SSP3.

Everything hinges on the capacity effect, so the slider lets you change it. At the weakest effect consistent with the data, about 7% per year of schooling, expected deaths fall only modestly in SSP1, rise by about a tenth in SSP2 and SSP5 and nearly double in SSP3. At the central estimate the picture is optimistic for all but SSP3. Either way, the ranking of futures does not change: the worlds that invest in people and limit warming keep survivability rising; the fragmented world does not.

Scenario (warming in 2100)

Deaths per 1,000 affected, per extra year of adult schooling · estimate −32% (95% range −7% to −50%)

—

Expected disaster deaths a year in 2100 ·

—

Adult schooling, 2020 → 2100 (population-weighted)

—

Schooling gain needed to hold deaths at today's level

≈ 62,000

Today: average disaster deaths a year, 2000–24, in these 157 countries

Exposure (people)
Hazard frequency
Capacity (schooling)
Net, 2100 vs today

Bars show each force's multiplier on expected deaths by 2100, on a log scale centred on ×1. Factors multiply: exposure × hazard × capacity = net.


5. Where the Race Is Lost

In a fragmented world, Africa's population and Europe's heat outrun capacity — for very different reasons.

Under SSP3, expected disaster deaths in sub-Saharan Africa rise about fourfold by 2100. Its exposure-weighted population grows roughly fivefold, hazards nearly double, and schooling gains, though real, are too slow to offset them. The Middle East and North Africa and North America also see rising tolls, and Europe and Central Asia — whose recorded toll is dominated by heatwaves — rises by about a third, because heat extremes multiply fastest with warming and its adults are already so well educated that further schooling buys little extra protection.

That European result exposes a limit of the education proxy and a real policy point: in rich, highly educated societies, capacity has to grow through other channels — heat-health warning systems, cooling for the vulnerable, urban design, health care for the old — because the historical gains from education are largely banked. Europe's heat deaths in 2003 and 2022 were the products of societies with very high schooling and income. South and East Asia and Latin America, by contrast, see declines even under SSP3, because large schooling gains outweigh rising hazard.

In the other scenarios, every region's expected toll falls by 2100 except North America, where it rises under SSP2 and SSP5, and Europe and Central Asia, which stays roughly flat under SSP5's 4.7 °C. The regional chart follows the scenario and capacity effect chosen in section 4, and the atlas below shows the same picture country by country, including the schooling shortfall: the years of schooling a country would need to gain to hold its disaster deaths at today's level, minus the years it is projected to gain.

Expected disaster deaths by region, today and 2100

Follows the scenario and capacity effect chosen in section 4 · World Bank regions


6. Survivability Atlas

Where capacity outruns threat, and where it falls short, country by country.

The atlas follows the scenario and capacity effect chosen in section 4. Its default layer shows the projected change in expected disaster deaths by 2100. The shortfall layer shows where projected schooling gains fall short of the gains needed to hold deaths at today's level; under SSP3 the largest shortfalls are in Somalia, Niger, the Democratic Republic of the Congo, the Central African Republic, Burkina Faso and Uganda, along with several heat-exposed, already highly educated countries.

The schooling layer shows adult educational attainment in 2100 under the chosen scenario, and the last layer today's disaster death rate. The country card lists each country's baseline toll and rate, population and hazard change, schooling path, the gain it would need, its projected toll in 2100, and the mix of hazards behind its baseline — heat, floods, drought, or earthquakes and storms, which the projection holds constant.

Country results inherit the noise of the disaster record. A country whose 2000–24 toll was dominated by one event — an earthquake or a cyclone — carries that event into its baseline, and countries with very small tolls can show large percentage changes from small numbers. Countries with fewer than 1 million people, including many small island states with high exposure, are not included.

Map shows
World map of the race between adaptive capacity and disaster threat Choropleth of 157 countries coloured by the selected measure under the chosen scenario: projected change in expected disaster deaths by 2100, the schooling gap between the capacity needed to offset rising exposure and hazard and the capacity projected, adult schooling, or today's disaster death rate. The capacity gap is widest across the Sahel, Central and East Africa and parts of South Asia under the fragmented SSP3 world. Afghanistan Angola Albania United Arab Emirates Argentina Armenia Australia Austria Azerbaijan Burundi Belgium Benin Burkina Faso Bangladesh Bulgaria Bahamas Bosnia and Herzegovina Belarus Belize Bolivia Brazil Brunei Darussalam Bhutan Botswana Central African Republic Canada Switzerland Chile China Côte d'Ivoire Cameroon Congo DR Congo Colombia Comoros Cabo Verde Costa Rica Cuba Cyprus Czech Republic Germany Djibouti Denmark Dominican Republic Algeria Ecuador Egypt Eritrea Spain Estonia Ethiopia Finland Fiji France Gabon United Kingdom Georgia Ghana Guinea Gambia Guinea-Bissau Equatorial Guinea Greece Guatemala Guyana Honduras Croatia Haiti Hungary Indonesia India Ireland Iran Iraq Iceland Israel Italy Jamaica Jordan Japan Kazakhstan Kenya Kyrgyzstan Cambodia Korea Republic of Kuwait Lao PDR Lebanon Liberia Libya Sri Lanka Lesotho Lithuania Luxembourg Latvia Morocco Moldova Republic of Madagascar Mexico North Macedonia Mali Myanmar Montenegro Mongolia Mozambique Mauritania Mauritius Malawi Malaysia Namibia Niger Nigeria Nicaragua Netherlands Norway Nepal New Zealand Oman Pakistan Panama Peru Philippines Papua New Guinea Poland Korea DPR Portugal Paraguay Palestine Qatar Romania Russian Federation Rwanda Saudi Arabia Sudan Senegal Solomon Islands Sierra Leone El Salvador Somalia Serbia South Sudan Sao Tome and Principe Suriname Slovakia Slovenia Sweden Eswatini Syria Chad Togo Thailand Tajikistan Turkmenistan Timor-Leste Trinidad and Tobago Tunisia Türkiye Tanzania Uganda Ukraine Uruguay United States of America Uzbekistan Venezuela Viet Nam Vanuatu Samoa Yemen South Africa Zambia Zimbabwe Antigua and Barbuda Bahrain Bahamas Barbados Brunei Darussalam Comoros Cabo Verde Cyprus Dominica Micronesia Gambia Grenada Jamaica Kiribati Saint Kitts and Nevis Lebanon Saint Lucia Liechtenstein Luxembourg Maldives Marshall Islands Malta Montenegro Mauritius Nauru Palau Palestine Qatar Singapore Sao Tome and Principe Seychelles Tonga Trinidad and Tobago Tuvalu Saint Vincent and the Grenadines Vanuatu Samoa Equal Earth · scenario and capacity effect from section 4

Country

Hover or tap a country

hazard mix of baseline deaths: heat · floods · drought · quakes & storms


7. Beyond Disasters

Recorded disasters are the smaller part of the survivability problem. The larger threats are systemic and cannot be met by local capacity alone.

Disasters are visible and countable, which is why they dominate discussion of survivability. But they are far from the largest threats to life. Air pollution caused about 8.1 million deaths in 2021, according to the State of Global Air report — more than a hundred times the annual toll of recorded disasters. The World Health Organization estimated 14.9 million excess deaths associated with the COVID-19 pandemic in 2020–2021. Heat kills far more than the disaster records capture: the Lancet Countdown reports that heat-related deaths have risen by 63% since the 1990s.

Other threats are systemic in a second sense: they spread across borders and systems and undo capacity itself. The UCDP recorded 65 state-based armed conflicts in 2025, the most since 1946, and organised violence killed about 245,000 people that year. Conflict is also the main driver of famine: the 2026 Global Report on Food Crises mid-year update projects about 327,000 people in catastrophic food insecurity in 2026 and a risk of famine in Somalia, South Sudan, Sudan and Gaza. And debt erodes the fiscal capacity on which protection depends: 3.4 billion people live in countries that spend more on interest than on health or education.

These threats change what survivability means. Schooling, warnings and safe buildings protect people against floods and storms; they do far less against a pandemic, a war or a debt crisis that empties health budgets. Capacity against systemic threats is collective — global health security, conflict prevention, clean air policy, crisis finance — and its absence is what turns a hazard into a catastrophe. The table summarises the scale of each threat and the kind of capacity it requires.

A threat register

Scale of selected threats to human survival, latest data · and the capacity each requires

ThreatScaleSourceCapacity that protects
Natural disasters≈ 60,000 / yrEM-DAT, 2000–24 averageLocal: education, early warning, safe buildings, evacuation, relief
Air pollution8.1 m (2021)State of Global Air 2024National and collective: clean energy, transport and cooking
Pandemics14.9 m (2020–21)WHO excess-mortality estimateCollective: surveillance, health systems, vaccines, finance
Extreme heat+63% since 1990sLancet Countdown 2025Heat-health systems, cooling, urban design, work rules
Armed conflict65 conflicts · ≈ 245,000 dead (2025)UCDP 26.1Political: settlements, inclusive institutions, prevention
Famine327,000 in catastrophe (2026)GRFC 2026 mid-year updateAccess, peace, social protection, food reserves
Debt and fiscal collapse3.4 bn peopleUNCTAD 2025International: restructuring, liquidity, concessional finance

8. Keeping Capacity Ahead

Survivability is chosen, not given. The futures in which capacity wins are those that invest in people and limit warming at the same time.

The projection's clearest message is that the scenarios differ less in their hazards than in their capacity. SSP5 warms the world far more than SSP3 by 2100, yet expected disaster deaths fall by two-thirds in SSP5 and stagnate in SSP3, because SSP5 educates its people. Investing in human capacity — above all universal, good-quality secondary education, especially for girls in the countries where populations grow fastest — is therefore one of the most powerful survivability policies available, with returns that compound over decades.

But capacity is not a substitute for limiting warming. Every scenario's toll is higher with more warming than it would otherwise be, heat extremes multiply fastest of all, and the protective returns to education flatten in societies that are already well educated, as Europe's heat record shows. Beyond schooling, the most direct capacity investments are early warning for everyone, health systems that can absorb surges, social protection that scales up in shocks, safe buildings and land use, and heat-health action plans with cooling for the vulnerable.

Finally, survivability depends on capacity that no country can build alone. The systemic threats in section 7 — pandemics, conflict, famine, pollution and debt — require shared institutions: global health security, conflict prevention and humanitarian access, clean-air and climate cooperation, and an international financial architecture that keeps fiscal space for protection in a crisis. A world that fragments, as SSP3 imagines, loses on every count at once.

Capacity

Universal secondary education

The strongest projectable protector: each extra year of adult schooling has cut deaths among the affected by about a third. Fastest returns where populations grow fastest.

Threat

Hold warming down

Hot extremes become 4.1 times as frequent at 1.5 °C and 9.4 times at 4 °C. Every tenth of a degree avoided keeps more of capacity's gains.

Capacity

Warnings and protection for all

Early warning, safe buildings, evacuation and relief turn education into survival; social protection keeps a disaster from becoming destitution.

Saturation

Heat-health where schooling is banked

In highly educated, ageing societies, protection must grow through heat warnings, cooling, health care and urban design.

Exposure

Avoid the fragmented future

SSP3's combination of slow education, rapid population growth and high warming is the one in which capacity loses the race.

Systemic

Collective capacity

Pandemics, conflict, famine, pollution and debt need shared institutions — health security, prevention, access and crisis finance.


9. Method

Data, model and caveats.

Disaster deaths and people affected by country, year and hazard come from EM-DAT via Our World in Data (1900–2024); population from the UN World Population Prospects 2024 via Our World in Data. Adult schooling is the population-weighted mean years of schooling of people aged 25 and over from the Wittgenstein Centre Human Capital Data Explorer v3.3, read directly from the centre's published data files, for the 1950–2020 reconstruction and SSP1, SSP2, SSP3 and SSP5 projections. Warming trajectories are the assessed means for SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 behind IPCC AR6 WGI Figure SPM.8, and frequency multipliers the medians behind Figure SPM.6.

The capacity elasticity comes from a country-decade panel, 1970s–2020s, of log deaths per 1,000 affected (excluding droughts) regressed on adult schooling with country and decade fixed effects and standard errors clustered by country (147 countries, 684 country-decades): −0.38 (s.e. 0.16), or −0.35 with log GDP per person added. Projected expected deaths for each of 157 countries with at least 1 million people equal average yearly deaths in 2000–24 × population ratio × hazard ratio × exp(β × schooling change since 2020). The hazard ratio weights heat (heat and wildfire deaths), heavy-rainfall (floods and landslides) and drought multipliers by each country's 2000–24 death mix, holding earthquake, volcano and storm deaths constant.

Limitations: EM-DAT under-records heat deaths and deaths in data-poor places, and the baseline carries the noise of a few mega-disasters; schooling is a proxy for broader capacity and its elasticity is uncertain; the model omits sea-level rise, cyclone intensification, compound and cascading events, conflict-driven collapses of capacity, and adaptation beyond schooling. Related reports: the geography of human survivability under climate stress, wet-bulb temperatures and unsurvivable heat and cumulative exposure across the polycrisis century.


Sources

Data and literature consulted in October 2026.


Metadata

Keywords
survivabilityadaptive capacitydisaster mortalityeducationShared Socioeconomic PathwaysWittgenstein CentreEM-DATIPCC AR6extreme eventspolycrisisexposuresystemic riskdashboard
Topics
Systemic Risk Climate Adaptation Human Capital Public Health
JEL classification
Q54, I25, J11, Q56, O15 — climate and natural disasters; education and development; demographic projections; environment and development; human resources
Data and method
Disaster deaths and people affected: EM-DAT via Our World in Data, 1900–2024, by country and hazard type. Capacity: adult (25+) mean years of schooling, population-weighted across age groups from the Wittgenstein Centre Human Capital Data Explorer v3.3 (reconstruction 1950–2020, SSP projections to 2100). Elasticity: log deaths per 1,000 affected (drought excluded) on mean years of schooling, country-decade panel 1970–2024, 147 countries, country and decade fixed effects, standard errors clustered by country: −0.38 (s.e. 0.16). Projection for 157 countries with ≥ 1 million people: expected deaths(t) = 2000–24 average deaths × population ratio (Wittgenstein SSP) × hazard ratio × exp(β × change in schooling since 2020). Hazard ratio = country-specific mix of heat, flood and drought deaths × IPCC AR6 SPM.6 median frequency multipliers for 10-year events at each year's warming (AR6 SPM.8 assessed mean for SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5); earthquake, volcano and storm deaths held constant. Caveats: EM-DAT under-records heat deaths outside Europe and the baseline is dominated by a few mega-disasters; schooling stands in for the broader capacity it helps create; storm intensification, sea-level rise, compound events and non-climate threats are not modelled.
Report
H Heuristics Digital Report № 2026-46 · Published 21 October 2026
Licence
CC BY-NC-ND 4.0
Cite as
Hunter Hughes (2026). Human Survivability Under the Global Polycrisis: Mapping exposure, adaptive capacity, and systemic threats across the century. H Heuristics Digital Report 2026-46. https://digitalreports.hheuristics.com/reports/survivability-capacity-race/
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