LICs vs HICs: Why the Same Hazard Hits Differently
Part of Natural Hazards Overview — GCSE Geography
This comparison covers LICs vs HICs: Why the Same Hazard Hits Differently within Natural Hazards Overview for GCSE Geography. Revise Natural Hazards Overview in The Challenge of Natural Hazards for GCSE Geography with 15 exam-style questions and 18 flashcards. This is a high-frequency topic, so it is worth revising until the explanation feels precise and repeatable. It is section 8 of 15 in this topic. Use this comparison to connect the idea to the wider topic before moving on to questions and flashcards.
Topic position
Section 8 of 15
Practice
15 questions
Recall
18 flashcards
⚖️ LICs vs HICs: Why the Same Hazard Hits Differently
The most important comparison in natural hazards geography is between low-income countries (LICs) and high-income countries (HICs). The same physical hazard — the same earthquake magnitude, the same category of tropical storm — produces vastly different disaster outcomes depending on which type of country it strikes.
| Factor | Low-Income Countries (LICs) | High-Income Countries (HICs) |
|---|---|---|
| Building quality | Low — few building codes; codes that exist are rarely enforced; most urban housing built informally with no seismic design. In Haiti 2010, entire apartment blocks collapsed because steel reinforcement had been omitted to cut costs. | High — strict building regulations enforced through planning permission and inspections. New Zealand's earthquake codes require buildings to withstand intense shaking without collapse. Chile's post-1960 codes are among the strictest in the world. |
| Early warning systems | Limited — few seismometers, limited Doppler radar coverage, unreliable power grids mean warnings cannot be broadcast. Bangladesh has improved its cyclone warning system significantly since the 1991 cyclone (138,000 dead) but many LICs still lack reliable systems. | Advanced — dense networks of seismometers, tide gauges for tsunami detection, meteorological satellites tracking storms 5–7 days ahead. Japan's J-Alert system can send earthquake warnings to all mobile phones within seconds of detecting P-waves. |
| Emergency services | Under-resourced — limited specialist rescue teams, few helicopters, inadequate medical facilities. After Nepal 2015, search-and-rescue teams from over 30 countries were deployed because Nepal's own capacity was overwhelmed within hours. | Well-equipped and trained — specialist urban search-and-rescue teams, helicopter fleets, well-stocked hospitals. New Zealand's Civil Defence system mobilised trained teams to Christchurch within 90 minutes. |
| Insurance coverage | Rare — most households and businesses in LICs are uninsured. Without insurance payouts, reconstruction depends entirely on government funds (often depleted by the disaster itself) and international aid, which may be slow and insufficient. | Common — high rates of household and business insurance fund rapid private-sector reconstruction. After the 2011 Christchurch earthquake, insurance covered a significant portion of the $40 billion rebuild. |
| Governance and institutions | Often weak — corruption may divert reconstruction funds; government institutions may themselves be damaged. After Haiti 2010, Haiti's government buildings (including the president's palace) were among those destroyed, causing governmental paralysis at the moment it was most needed. | Generally strong — capable of coordinating a complex national response, allocating reconstruction budgets, and enforcing rebuilt building codes. Chile's government deployed 14,000 military personnel within 12 hours of the 2010 earthquake. |
| Death toll pattern | High — 90% of all disaster deaths occur in LICs despite LICs having lower absolute numbers of people in hazard zones. Haiti 2010: ~316,000. Nepal 2015: ~9,000. Typhoon Haiyan (Philippines) 2013: ~6,300. | Low — Christchurch 2011: 185. Chile 2010: ~550. Kobe earthquake (Japan) 1995: ~6,400 — notable as Kobe was a major HIC disaster, but even here recovery was complete within 5 years. |
| Economic damage pattern | High as % of GDP — Haiti earthquake: losses equivalent to 120% of annual GDP. Nepal earthquake: losses equivalent to ~50% of annual GDP. Recovery takes decades and may never be complete without sustained international support. | High absolute value, low as % of GDP — Chile 2010: $30 billion loss, but only ~18% of GDP. Kobe 1995: $100 billion, but Japan's economy absorbed this within a few years. HICs can borrow, insure, and rebuild. |