Abstract
This report examines extreme heat and air pollution as a single compound hazard. It combines three kinds of evidence. First, a new analysis of 149 large cities in 126 countries pairs daily 2024 temperatures from the ERA5 reanalysis with modelled daily PM2.5 and ozone from the Copernicus Atmosphere Monitoring Service for each city's hottest three months. Second, it synthesises physiological and epidemiological evidence on how heat and pollution interact, led by a study of 22.6 million deaths in 620 cities. Third, it maps national exposure, vulnerability and health capacity using satellite-derived PM2.5, ERA5 warm-season temperatures and World Bank indicators.
Heat and pollution coincide. Ozone was higher on locally hot days than on other days of the hot season in 131 of the 149 cities, and fine particles in 113, each by a median of 13%. Weighted by population, 85% of hot days exceeded a WHO daily guideline for particles or ozone, against 75% of other hot-season days. The contrast is sharpest in high-income cities, where heat is what turns usually clean air bad; in the most polluted cities of South Asia and the Sahel almost every hot day is also a polluted one. The hazards also interact in the body: heat strains the heart, lungs and kidneys through thermoregulation and inflammation, and particles and ozone act through oxidative stress, inflammation and autonomic and clotting pathways. Moving from the 75th to the 99th percentile of city temperature raised daily mortality by 5.3% when PM10 was 10 µg/m³ and by 12.8% when it was 90; for ozone the corresponding figures were 2.9% and 12.5%.
The burden is unequal. About 2.6 billion people live in countries whose largest cities had at least 30 days at or above 35 °C in 2024 and whose population-weighted PM2.5 is at least 25 µg/m³ — 74% of the population of lower-middle-income countries, 24% in low-income, 9% in upper-middle-income and 4% in high-income countries. Averaged over their populations, the largest cities of lower-middle-income countries also had 105 nights at or above 25 °C in 2024, against 13 in high-income countries. Vulnerability takes different forms — an older population in rich countries, outdoor work and young populations in poor ones — but the capacity to respond, measured by median health spending per person, is 32 times higher in high-income than in low-income countries.
The report concludes that heat and air pollution should be managed as one risk: with combined warnings and health advice, protection for outdoor workers and older adults on days when both hazards peak, cool and filtered refuges, and cuts in ozone precursors, solid-fuel burning and smoke that lower the pollution that makes heat deadlier. An interactive city explorer, physiology map, joint-effect calculator, double-exposure scatter and atlas with a vulnerability lens accompany the analysis.
Overview
Heat and polluted air are usually studied, warned about and managed separately. Bodies experience them together, often on the same days, and the combination does more harm than either alone.
Extreme heat and air pollution are two of the largest environmental threats to health. The 2025 Lancet Countdown puts heat-related deaths at an average of 546,000 a year in 2012–2021 and attributes 2.5 million deaths a year to air pollution from burning fossil fuels; the State of Global Air report links 7.9 million deaths in 2023 to air pollution of all kinds. These burdens are usually counted separately. But the hazards overlap in place and time: the hottest countries are often among the most polluted, ozone forms fastest in hot sunshine, and stagnant heatwaves trap particles near the ground. And they act on the same organs, through overlapping pathways of inflammation, cardiovascular strain and impaired breathing.
This dashboard measures that overlap at three scales. At the scale of days, it combines 2024 daily temperatures with modelled particle and ozone levels for 149 of the world's largest cities to see how often hot days are also polluted. At the scale of the body, it maps the physiological pathways and the epidemiological evidence that heat amplifies the effect of pollution. At the scale of populations, it combines exposure with who is most sensitive — older adults, children and outdoor workers — and with the health systems' capacity to respond, to show where the compound burden is heaviest and least protected.
The argument in brief
Heat and air pollution are a compound hazard, not two separate ones. They arrive together: in 2024 ozone was higher on locally hot days in 131 of 149 large cities, and particles in 113. They act together: across 620 cities, a very hot day raised deaths by 12.8% when particle pollution was high, against 5.3% when it was low. And they fall on the same people: about 2.6 billion people live in countries that are both hot and polluted, three-quarters of the population of lower-middle-income countries against 4% in high-income ones, where nights stay hot, work is outdoors and health spending is a fraction of rich-country levels. Protection should be joined up in the same way — combined warnings, protected workers and cool, filtered refuges — while the hazards are cut at source.
The city measures come from the ERA5 reanalysis for temperature and the Copernicus Atmosphere Monitoring Service (CAMS) model for particles and ozone, via the Open-Meteo service. They describe conditions in the grid cell around each city centre, not exposure at street level or indoors, and the CAMS model's levels can differ substantially from ground monitors. National particle levels are the satellite-based, population-weighted SatPM estimates used elsewhere in this series. The epidemiological estimates are from published studies and are reported as their authors give them.
Section 1 looks at how often heat and pollution coincide in cities. Section 2 traces the physiology and the evidence for synergy. Section 3 maps double exposure across countries, and section 4 asks who bears it, comparing vulnerability and health capacity across income groups. Section 5 follows the warming of the hot season since the 1960s, and section 6 sets out how protection can be joined up.
1. The Same Days
In most large cities the hottest days of the year are also among the most polluted. Where air is usually clean, heat is when it turns bad; where it is usually dirty, heat arrives on top.
For each of 149 large cities, the analysis takes the three hottest months of 2024 and compares the days that were locally hot — at or above the city's own 90th percentile of daily maximum temperature — with the other days of the same season. In 131 cities the mean daily maximum 8-hour ozone level was higher on hot days, by a median of 13%; in 113 cities fine particles were higher too, also by a median of 13%. Ozone forms faster in hot sunshine, and the stagnant, high-pressure weather that brings heatwaves also traps pollution near the ground, so the pattern is expected; the data show how general it is.
Measured against the WHO's daily guidelines — 15 µg/m³ for PM2.5 and 100 µg/m³ for the 8-hour ozone maximum — 85% of hot days were polluted across the cities, weighted by population, against 75% of other hot-season days. The contrast is sharpest in high-income cities, where only half of ordinary summer days broke a guideline but 78% of hot days did: in Berlin 84% of hot days against 5% of other days, in Zurich 85% against 5%, in Madrid 81% against 35%. Heat is the trigger that turns clean air bad. Against the stricter interim targets of 37.5 µg/m³ for particles and 160 µg/m³ for ozone, 37% of hot days exceeded at least one, against 28% of other days.
In the most polluted cities the overlap is near-total: in Delhi, Lahore, Kano and Beijing every locally hot day exceeded a guideline, and Delhi had 91 days at or above 35 °C and 121 nights that never fell below 25 °C. There the problem is not that heat creates pollution but that heat lands on air that is already harmful. The CAMS model used here is a coarse global model whose levels can differ substantially from ground monitors, so absolute values in individual cities are uncertain; the comparison of hot and other days within each city is more robust. Choose a city below to see its season day by day.
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Days ≥ 35 °C · nights ≥ 25 °C in 2024
Locally hot days with PM2.5 > 15 or ozone > 100 µg/m³
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PM2.5 on hot vs other days of the hot season (µg/m³)
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Ozone, max 8-hour, on hot vs other days (µg/m³)
Ozone on hot days vs other days
Fine particles on hot days vs other days
2. The Body
Heat and pollution converge on the heart, lungs and kidneys through shared pathways — and the epidemiology shows that each makes the other deadlier.
Heat strains the body as it works to stay cool. Blood is pushed to the skin and the heart beats harder; sweating depletes fluids; breathing patterns change. The World Health Organization notes that this strain stresses the heart and kidneys, worsens cardiovascular, respiratory and other chronic conditions, and can cause acute kidney injury. A systematic review by Anenberg and colleagues adds that heat increases systemic and pulmonary inflammation as a consequence of thermoregulation and promotes blood clotting. Air pollution acts on the same systems from the other side. Fine particles trigger oxidative stress and inflammation in the lungs that can spread to the whole body, disturb the autonomic control of heart rhythm, and activate clotting; ozone, a powerful oxidant, inflames and damages the airways.
Where pathways converge, effects can compound. The largest study of the question, by Stafoggia and colleagues, analysed 22.6 million deaths in 620 cities in 36 countries during each city's six warmest months. Moving from the 75th to the 99th percentile of a city's temperature raised daily mortality by 8.9% on average — but by 5.3% when PM10 was at 10 µg/m³ and 12.8% when it was at 90, and by 2.9% when ozone was at 40 µg/m³ against 12.5% at 160. Read the other way, each 10 µg/m³ of PM10 raised mortality by 0.54% on cool days and 1.21% on the hottest; ozone had no detectable effect on cool days but 0.53% per 10 µg/m³ on the hottest. The authors call this suggestive evidence of effect modification; results for PM2.5 and nitrogen dioxide were similar but slightly weaker.
The wider literature points the same way. Anenberg and colleagues reviewed 56 studies, 39 of them on heat and air pollution together, and judged the evidence for synergistic effects of heat and air pollution to be of moderate quality and sufficient, while noting that nearly all studies risk exposure-measurement error. The groups most at risk overlap too: the WHO and the US Environmental Protection Agency both single out older adults, children, people with heart and lung disease, and people active outdoors, especially outdoor workers. Select a box in the diagram to trace its pathways and the evidence behind each link, and use the explorer to see how the heat effect grows with pollution.
Evidence
Select a box
Hover or tap any exposure, mechanism or outcome to highlight its pathways and read the evidence for each link.
How pollution changes the danger of a very hot day
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at the low level
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at the chosen level (interpolated)
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at the high level
Dots and whiskers are the published estimates and 95% confidence intervals at the two reported pollutant levels; the curve interpolates between them on the log scale, consistent with the study's product-term model. It is an average across cities, not a prediction for any one place.
3. Double Exposure
About 2.6 billion people live in countries that are both hot and polluted, in a belt from the Sahel through the Middle East to South Asia and mainland Southeast Asia.
At the scale of countries, double exposure can be defined by two thresholds: a hot climate, here at least 30 days at or above 35 °C in 2024 in the largest cities, and polluted air, here a national population-weighted PM2.5 of at least 25 µg/m³, the WHO's second interim target. On those definitions 25 countries with 2.6 billion people — a third of humanity — are doubly exposed. They include India, Pakistan and Bangladesh; Egypt, Iraq, Iran and Saudi Arabia; Niger, Mali, Chad, Burkina Faso and Sudan; and Myanmar and Vietnam. The sliders let readers set their own thresholds and watch the count change.
Heat adds a second, quieter dimension: the night. When minimum temperatures stay at or above 25 °C, the body gets no chance to recover from the heat of the day. Averaged over the population of each income group, the largest cities of lower-middle-income countries had 105 such nights in 2024, against 13 in high-income countries; Cotonou, Bangkok and Lagos each had more than 200. In the same cities, the days themselves were hotter — 56 days at or above 35 °C in lower-middle-income countries against 13 in high-income ones — and Khartoum, Juba and Niamey had more than 190.
The map can also show a compound burden index that adds vulnerability and capacity to exposure. It averages each country's percentile rank on hot days, particle pollution, the share of a chosen vulnerable group — older adults, children or people working in farms and industry — and low health spending. The index is a screening tool, not an estimate of deaths: it shows where the overlap of hazard, sensitivity and weak protection is greatest, and how that picture shifts depending on whose vulnerability is in view.
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People in doubly exposed countries
Share of the population covered
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Lower-middle-income population doubly exposed
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High-income population doubly exposed
Countries of 5 million people or more with city data (125 countries with national data, about 99% of humanity). Heat is the population-weighted count for the largest cities; PM2.5 is the national population-weighted average. Click a bubble to select a country on the map.
Country profile
Hover or tap a country
See its heat, pollution and vulnerability.
4. Unequal Burden
Rich and poor countries are vulnerable in different ways — through age in one, through work, crowding and thin health systems in the other — but the hazards and the gaps in protection pile up in the poorer.
Vulnerability to heat and pollution has two broad profiles. In high-income countries it is mainly a matter of age: 20% of people are 65 or older, and older adults are the group most consistently identified as at risk from both heat and air pollution. In low- and lower-middle-income countries the population is young — 3% and 6% are over 65 — but far more people work outdoors or in hot workplaces: 56% of workers in low-income countries and 39% in lower-middle-income countries are in agriculture alone, against 3% in high-income countries. Children, whose share of the population is highest in poor countries, are a third group singled out by the WHO and the US Environmental Protection Agency.
Exposure, meanwhile, runs the other way from age. The hottest and most polluted cities are concentrated in lower-middle-income countries, and so are the hot nights. The capacity to respond follows income: median health spending per person is about $130 a year in low-income countries, $270 in lower-middle-income countries, $1,180 in upper-middle-income countries and $4,130 in high-income countries, a 32-fold gap. Cooling at home, filtered and air-conditioned clinics, ambulance response and treatment for heart and kidney emergencies all depend on that spending.
The compound burden index combines these strands, and its ranking depends on the lens. Through the lens of older adults, South Asia leads — Bangladesh, Pakistan and India — followed by Niger, Sudan, Syria and Myanmar: the elderly share there is modest, but heat, pollution and thin health spending are extreme. Through the lens of children or outdoor workers, the Sahel rises to the top — Niger, Chad and Mali — followed by Sudan, the Central African Republic, Burkina Faso and Pakistan. The point is not the precise order, which depends on the chosen indicators, but that whichever group is in view, the heaviest combined burden falls on countries that are hot, polluted and under-resourced — and that these are seldom the countries where most research on heat and air pollution has been done.
Exposure and sensitivity by income group
Capacity to respond: health spending
Highest compound burden, by vulnerability lens
5. A Hotter Season
The hot season has warmed by about 1.2 °C since 1961–1990 for the average person, and 2024 ran far above that. Warming is fastest in Europe; the danger is greatest where seasons were already hot.
Taking each country's three hottest months in the ERA5 record and weighting by population, the average person's hot season in 2015–2024 was about 1.2 °C warmer than in 1961–1990, and in 2024 it was 1.8 °C warmer. The rise has not been even. High-income countries, led by central and south-eastern Europe, warmed most, by 1.6 °C over the decade on average; low-income countries by 1.5 °C; upper-middle-income countries by 1.3 °C; and lower-middle-income countries, dominated by South Asia, least, by 0.9 °C on this national, area-weighted measure.
Rates of warming are not the same as danger, however. A degree added to a mild European summer and a degree added to a pre-monsoon summer already near 40 °C have very different consequences, and the second also lands on populations with less cooling, more outdoor work and weaker health services. The Lancet Countdown estimates that in 2024 the average person experienced a record 16 extra health-threatening hot days because of climate change, and that infants and people over 65 experienced an average of 20 heatwave days, increases of 389% and 304% over the 1986–2005 average.
Warming also feeds the pollution side of the burden. Higher temperatures speed the chemistry that makes ozone — the ozone–climate penalty — and hotter, drier conditions fuel the fires whose smoke caused a record 154,000 deaths in 2024. The hot season is therefore lengthening and intensifying at the same time as the pollution that accompanies it, which is why the overlap documented in this report should be expected to grow unless both hazards are reduced.
Warm-season temperature anomaly by income group, 1961–2024
6. Joined-up Protection
If the hazards arrive together, warnings, clinics, workplaces and cities should treat them together.
Most health systems warn about heat and air quality through separate channels, with separate thresholds, often run by different agencies. Yet the evidence above shows that the risk on a hot day depends on the air, and the risk on a polluted day depends on the temperature. The first step is therefore joined-up warning: alerts that combine forecast temperature, ozone and particles, and advice that covers both — staying cool and limiting exertion, but also keeping windows closed during smoke or ozone peaks and using filtered, cooled spaces. The WHO stresses that the health impacts of heat are predictable and largely preventable with public health measures; the same is true of their interaction.
The second step is protecting the groups who sit at the intersection. For older adults and people with heart, lung or kidney disease, that means outreach during combined episodes and access to cooled, filtered rooms in homes, clinics and community centres. For outdoor workers — 2.41 billion people are exposed to excessive heat at work, according to the ILO, which attributes 18,970 deaths and 22.85 million injuries a year to it — it means enforceable rules on rest, shade, water and working hours, extended to bad-air days. For children, it means schools that stay cool and clean when the season peaks.
The third step is cutting the hazards at source, together. Reducing methane and the nitrogen oxides and volatile organic compounds that form ozone lowers the peak that hot days bring; cleaner cooking and heating cut the particles that make poor cities' hot seasons so dangerous; fire management reduces smoke. Cooling needs to grow too, but efficiently and powered cleanly, so that the response to heat does not add to the air pollution that makes heat deadlier. Urban trees and shade cool streets, although some species emit ozone-forming compounds, a reminder that measures should be judged on both hazards at once.
Measures that address both hazards
| Measure | Heat harm | Pollution harm | Who benefits most |
|---|---|---|---|
| Combined heat and air-quality alerts, with health advice for both | ++ | ++ | Older adults, people with heart and lung disease |
| Heat-health action plans that include ozone and smoke episodes | ++ | + | Everyone in heat-exposed cities |
| Workplace rules: rest, shade, water, shifted hours and respiratory protection on bad days | ++ | + | Outdoor and farm workers |
| Cut methane and ozone precursors (NOx, VOCs) | + | ++ | Everyone; lowers the hot-day ozone peak |
| Clean cooking and heating | 0 | ++ | Women and children in low-income homes |
| Efficient cooling with filtration in homes, clinics and schools | ++ | + | Older adults, infants, patients |
| Urban trees, shade and cool surfaces | ++ | ± | Dense, low-income neighbourhoods |
| Fire management and smoke preparedness | 0 | ++ | Communities downwind of fire regions |
7. Method
Data, definitions and caveats.
Cities: for every country of 5 million people or more, the largest city in the GeoNames database plus, for the most populous countries, up to seven further cities of over a million people at least one degree apart — 149 cities in 126 countries. Daily maximum and minimum 2-metre temperature for 2024 come from the ERA5 reanalysis via the Open-Meteo archive API. Hourly PM2.5 and ozone for each city's hottest three consecutive months of 2024 come from the Copernicus Atmosphere Monitoring Service global model via the Open-Meteo air-quality API; daily PM2.5 is the 24-hour mean and daily ozone the maximum 8-hour running mean. A day is locally hot if its maximum temperature is at or above the city's 90th percentile for 2024, and polluted if PM2.5 exceeds the WHO 24-hour guideline of 15 µg/m³ or ozone exceeds the 8-hour guideline of 100 µg/m³.
National measures: population-weighted PM2.5 from SatPM (Washington University in St. Louis) via Our World in Data; the warm season as each country's three hottest months in ERA5 national monthly means (area-weighted) via Our World in Data, compared with 1961–1990; and World Bank indicators for population, age structure, employment in agriculture and industry, current health expenditure per person, income and electricity access. Country heat values are the population-weighted averages of their cities. The burden index averages four percentile ranks — days at or above 35 °C, PM2.5, the chosen vulnerable group's share of the population, and low health spending — and is a screening tool, not a risk estimate.
Caveats: city grid cells do not capture street-level or indoor exposure, urban heat islands, or humidity; CAMS levels can differ substantially from ground monitors, and the satellite and model products are not directly comparable; 2024 was an exceptionally hot year; and national averages hide the large differences in heat and pollution exposure within cities by income, housing and work. The joint-effect curve is interpolated between published estimates. Related reports: the unequal geography of air pollution exposure, the pollution–climate feedback system and human exposure across the polycrisis century.
Sources
Data and literature consulted in October 2026.
- Environment InternationalStafoggia et al. (2023), Joint effect of heat and air pollution on mortality in 620 cities of 36 countries.
- Environmental HealthAnenberg et al. (2020), Synergistic health effects of air pollution, temperature, and pollen exposure: a systematic review.
- WHOHeat and health fact sheet.
- CirculationBrook et al., Air pollution and cardiovascular disease: AHA scientific statement.
- US EPAHealth effects of ozone pollution.
- Lancet Countdown2025 report findings.
- Health Effects InstituteState of Global Air 2025.
- ILO / GHHINILO extreme heat action profile (2025): 2.41 billion workers exposed to excessive heat.
- Open-Meteo / ECMWF / CAMSHistorical weather API (ERA5) and air-quality API (CAMS), CC BY 4.0.
- SatPM / ERA5 / OWIDPM2.5 exposure and monthly surface temperature.
- World BankWorld Development Indicators.
- GeoNamescities15000, CC BY 4.0; Natural Earth / world-atlas world-atlas 2.0.2.
Metadata
- Keywords
- extreme heatair pollutioncompound exposureozonePM2.5effect modificationheat-healthhot nightsoutdoor workersolder adultshealth inequalityERA5CAMSdashboard
- JEL classification
- I14, I18, Q53, Q54, J81 — health and inequality; public health policy; air pollution; climate and natural disasters; working conditions
- Data and method
- Cities: the largest city of every country with at least 5 million people (GeoNames cities15000), plus up to seven further cities of over one million at least one degree apart for the most populous countries — 149 cities in 126 countries. Daily maximum and minimum temperature for 2024 come from the ERA5 reanalysis via the Open-Meteo archive API; hourly PM2.5 and ozone for each city's hottest three consecutive months come from the CAMS global model via the Open-Meteo air-quality API. Daily PM2.5 is the 24-hour mean and daily ozone the maximum 8-hour running mean. A day is locally hot if its maximum temperature is at or above the city's 2024 90th percentile, and polluted if PM2.5 exceeds 15 µg/m³ or ozone exceeds 100 µg/m³ (WHO 2021 guidelines); stricter interim targets of 37.5 and 160 µg/m³ are also reported. National PM2.5 is population-weighted SatPM (Washington University in St. Louis) via Our World in Data; warm-season temperature is the mean of each country's three hottest months in ERA5 national monthly means (area-weighted) via Our World in Data, compared with 1961–1990. Vulnerability and capacity use World Bank indicators of age structure, employment in agriculture and industry, and current health expenditure per person. Country heat values are population-weighted city averages. Double exposure is defined as at least 30 days at or above 35 °C and PM2.5 of at least 25 µg/m³ (adjustable in the dashboard). The compound burden index is the mean of percentile ranks for hot days, PM2.5, the chosen vulnerable group's population share and low health spending. Epidemiological estimates are as published. Grid-cell model data do not capture street-level, indoor or within-city differences.
- Report
- H Heuristics Digital Report № 2026-38 · Published 20 October 2026
- Licence
- CC BY-NC-ND 4.0
- Cite as
- Hunter Hughes (2026). The Compounding Burden of Heat and Air Pollution: Understanding overlapping exposure, physiological stress and climate-sensitive health inequalities. H Heuristics Digital Report 2026-38. https://digitalreports.hheuristics.com/reports/heat-air-pollution-compound-burden/