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Global inequality does not just mean that some countries are richer than others. It has real, measurable consequences for billions of people in terms of health, education, life expectancy, and quality of life. In this lesson, you will explore the wide-ranging consequences of inequality, understand how the development gap affects people's daily lives, and examine how inequality drives migration patterns across the world.
The gap in health outcomes between HICs and LICs is one of the starkest consequences of global inequality.
| Health Indicator | HICs (average) | LICs (average) | Significance |
|---|---|---|---|
| Life expectancy | 78–84 years | 50–65 years | Up to 30 years difference |
| Infant mortality rate | 3–5 per 1,000 | 50–80 per 1,000 | Up to 20x higher in LICs |
| Maternal mortality ratio | 5–15 per 100,000 | 500–1,000 per 100,000 | Up to 100x higher in LICs |
| Doctors per 10,000 people | 25–45 | 1–5 | Severe shortage in LICs |
| Access to clean water | 99–100% | 40–70% | Millions lack safe drinking water |
| HIV/AIDS prevalence | <0.5% | 2–25% (sub-Saharan Africa) | Devastating in poorest regions |
| Indicator | Sierra Leone | United Kingdom |
|---|---|---|
| Life expectancy | 55 years | 81 years |
| Infant mortality | 78 per 1,000 | 3.5 per 1,000 |
| Maternal mortality | 1,120 per 100,000 | 10 per 100,000 |
| Doctors per 10,000 | 0.3 | 30 |
| Health spending per capita | $86 | $5,138 |
| HIV prevalence (adults) | 1.5% | 0.16% |
Exam Tip: When discussing health disparities in an exam, always use specific data and name the countries you are comparing. "LICs have worse health" is too vague — "Sierra Leone's infant mortality rate is 78 per 1,000, compared to just 3.5 in the UK" is much better.
Education is both a cause and a consequence of inequality. Countries that fail to educate their populations remain trapped in poverty, while poverty makes it harder to invest in education.
| Indicator | HICs | LICs |
|---|---|---|
| Primary school enrolment | ~99% | 60–85% |
| Secondary school enrolment | ~95% | 30–50% |
| Adult literacy rate | ~99% | 40–65% |
| Mean years of schooling | 12–14 years | 3–6 years |
| Gender gap in education | Minimal | Significant — girls often disadvantaged |
Investing in education yields enormous benefits:
Global inequality is a powerful driver of migration. People move from areas of low opportunity to areas of high opportunity, seeking better lives for themselves and their families.
graph TD
subgraph Push Factors - reasons to leave
A[Poverty and unemployment]
B[Conflict and persecution]
C[Natural hazards]
D[Poor healthcare and education]
E[Environmental degradation]
end
subgraph Pull Factors - reasons to move to
F[Better job opportunities]
G[Higher wages]
H[Safety and stability]
I[Better healthcare and education]
J[Family connections]
end
A --> F
B --> H
D --> I
| Type | Description | Example |
|---|---|---|
| Rural-to-urban | Movement from countryside to cities within the same country | Millions moving from rural India to Mumbai and Delhi |
| International economic | Movement to another country for work and higher wages | Mexicans migrating to the USA; Poles migrating to the UK |
| Forced migration (refugees) | Fleeing conflict, persecution, or disaster | Syrians fleeing civil war (6.8 million refugees by 2023) |
| Brain drain | Skilled workers leaving LICs for HICs | African doctors and nurses emigrating to the UK, USA, and Canada |
For the source country (country of origin):
For the destination country:
Exam Tip: Migration questions often ask you to discuss impacts on both the source and destination country. Always cover both sides and use specific examples with data.
Global inequality is reflected in dramatically different demographic profiles between HICs and LICs.
| Indicator | HICs | LICs |
|---|---|---|
| Birth rate (per 1,000) | 8–12 | 30–50 |
| Death rate (per 1,000) | 9–12 | 8–15 |
| Natural increase rate | 0–0.5% | 2–3.5% |
| Total fertility rate | 1.5–2.0 | 4.0–7.0 |
| Population growth rate | 0–0.5% | 2–3% |
| Median age | 38–45 years | 15–20 years |
| Dependency ratio | Lower (ageing population) | Higher (young population) |
Most LICs are in Stage 2 or early Stage 3 of the demographic transition — with high birth rates and falling death rates, leading to rapid population growth. HICs are in Stage 4 or Stage 5, with low birth and death rates and stable or declining populations.
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