12ial-Global Hazard Trends 2

​Topic: 1.3.3 Global Hazard Trends


Enquiry Question: How have the impacts of natural hazards changed over time, and why do those patterns differ between countries?

By Aimee Cooper

​Changing Impacts of Natural Hazards

​Welcome back. In Lesson 1, we looked at global trends in hazard frequency. Today, we’ll focus on how the impacts of disasters have changed over time.

​Learning objectives By the end of this lesson, you should be able to: Describe global patterns in deaths, people affected, and economic losses. Explain why deaths are decreasing but losses are increasing. Evaluate how vulnerability and development shape these trends.

Open Ended

What patterns do you notice?

​Why Impacts Matter

​Measuring disaster impacts helps us understand global progress in resilience and preparedness.

Fewer deaths suggest improved capacity to cope, while higher financial losses reveal growing exposure in high-value environments.

Geographers use this data to track where human vulnerability is falling – and where it remains high.

​Defining Key Indicators

​There are three main impact indicators: Deaths: number of fatalities caused directly or indirectly by a hazard event. People affected: those injured, displaced, or in need of aid. Economic losses: total financial cost of damage to property, infrastructure, and GDP.

​Skills Focus: Describing Data

​When describing impacts, always: 1️⃣ Identify the direction of change (trend). 2️⃣ Support with data evidence. 3️⃣ Note any anomalies.

Open Ended

Describe the trend and suggest reasons

​Global Trend 1: Disaster Deaths

​Figure 3.7 shows that global disaster deaths have declined sharply since the 1970s. In the early 20th century, some decades exceeded 3 million deaths (mainly drought and famine). Today, global annual averages are closer to 80,000–100,000. Model interpretation: Mortality is decreasing even though total events are rising.

​Reasons for Fewer Deaths

​Improved early warning systems – satellite tracking, mobile alerts, radar forecasting. Better emergency planning – evacuations, drills, disaster education. Medical advances – faster rescue, treatment, and disease control. International aid – quicker humanitarian response post-disaster. However, mortality remains high where poverty, conflict, or weak governance limit these advantages.

Open Ended

Describe the trend and suggest reasons

​Global Trend 2: People Affected

​According to Figure 3.8, the number of people affected rose steeply until the 1990s, peaking around 400 million per year, then fluctuated.


This reflects growing exposure due to urbanisation and population growth but lower vulnerability because survival rates improved.

​Why More People Are Affected

​The global population tripled since 1950, placing more people in hazard zones. Rapid urbanisation has expanded cities into floodplains and coastal areas.

Climate change increases the spread of drought-prone and cyclone-prone regions.

Better reporting systems mean more people are counted. Model answer: More people experience hazard impacts, but fewer die because of stronger resilience.

​Mini Case Study: Flood Exposure in Asia

​Between 1980 and 2020, the number of people living in flood-prone areas of South and East Asia doubled. Urbanisation, poor planning, and climate change have driven exposure. However, death rates per flood have fallen due to improved warnings and embankments. Conclusion: Exposure ↑; mortality ↓; resilience ↑ slightly.

Open Ended

Describe the trend. Suggest reasons why.

​Global Trend 3: Economic Losses

​Figure 3.9 shows global economic losses from disasters rising dramatically since 1950. Losses grew from around $10 billion per year in 1950 to over $250 billion by 2020. The steepest increases align with rapid industrialisation and the growth of global insurance reporting.

​Why Economic Losses Rise

​More valuable infrastructure (ports, ICT, housing) in hazard zones.

Insurance data now captures smaller disasters that were once ignored.

High-income countries record losses more accurately.


Climate change increases damage intensity (flooding, storms).

​Introducing the Disaster Gap

​The disaster gap describes how deaths have declined while costs have risen. This widening gap shows progress in human safety but increasing economic exposure. It also highlights global inequality: wealthier countries lose money, poorer countries lose lives.

Open Ended

Why might a wealthy country appear “worse off” in global data despite good resilience?

​Why might a wealthy country appear “worse off” in global data despite good resilience?


Answer: Economic losses are higher and better recorded, exaggerating their share of total cost.

​Skill Extension: Reliability of Disaster Data

​Disaster data is not always straightforward or reliable, and interpreting global trends requires careful evaluation of the sources.

Global databases such as EM-DAT (Emergency Events Database) compile information from governments, the UN, insurers, and NGOs.


However, these data can be incomplete, inconsistent, and sometimes politically influenced.

​Reasons for unreliability:

​Inconsistent definitions: Some countries classify “natural disasters” differently. For example, one flood might be counted as a single national event, while another is recorded as multiple local incidents.

Incomplete reporting: Smaller or rural disasters are often missed entirely, especially before 1980, when global reporting improved.

Political bias: Governments may under-report deaths or losses to appear more resilient, or over-report them to attract international aid.

Insurance bias: High-income countries have widespread insurance coverage, so financial losses are carefully recorded; in low-income regions, uninsured losses go uncounted.

Population data uncertainty: In some LICs, census data is outdated, making it difficult to calculate “people affected.”

​Impact on interpretation:

​These inconsistencies can make global comparisons misleading. It might appear that disasters are increasing simply because reporting has improved, or that some regions are safer when data is just missing.

​Thinking like a geographer:

​When analysing trends, always question: Who collected the data and why? What qualifies as a disaster in that dataset? Are richer countries over-represented because their data is better recorded?

​Case Focus: Bangladesh vs Myanmar

​Bangladesh’s investment in cyclone shelters and flood embankments has saved thousands of lives. Myanmar’s lack of openness during Cyclone Nargis limited aid and cost over 130,000 lives. Lesson: Similar hazards, different outcomes – development matters more than hazard type.

​The Role of Development

​Development level determines: Quality of infrastructure and housing Access to healthcare and education Functioning of government and early warning systems Recovery capacity

​Population Pressure

​Global population has tripled since 1950. More people now live in high-risk coastal and urban zones.

Population growth alone doesn’t cause disasters – but it multiplies exposure.


Exam tip: Use the phrase “rising exposure” instead of “more disasters.”

​Global Vulnerability Hotspots

​High vulnerability persists in: Sub-Saharan Africa (drought, flood, famine) South and Southeast Asia (cyclones, floods) Small Island Developing States (sea-level rise, storms) These regions combine high hazard frequency with low adaptive capacity.

Open Ended

1️⃣ Which impact indicator is falling globally?
2️⃣ Which indicator shows the greatest financial increase?
3️⃣ Why are more people affected?
4️⃣ Why do richer countries appear “worse off”?
5️⃣ Which region remains most vulnerable?

​1️⃣ Which impact indicator is falling globally? (Deaths) 2️⃣ Which indicator shows the greatest financial increase? (Economic losses) 3️⃣ Why are more people affected? (Population growth, exposure) 4️⃣ Why do richer countries appear “worse off”? (Higher insured assets) 5️⃣ Which region remains most vulnerable? (Sub-Saharan Africa)

​Learning objectives By the end of this lesson, you should be able to: Describe global patterns in deaths, people affected, and economic losses. Explain why deaths are decreasing but losses are increasing. Evaluate how vulnerability and development shape these trends.

Open Ended

Assess the extent to which global disaster impacts have decreased since 1950.

Command word: Assess → make a balanced argument, with evidence for and against, then reach a judgement.

Focus: Global disaster impacts → include deaths, people affected, and economic losses.

Time scale: Since 1950 → refer to long-term change using data trends.

Key phrase: Extent to which → it’s partly true, but not entirely — your job is to show how far.