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When we map development indicators across the world, clear patterns emerge. Some parts of the world are wealthy, healthy, and well-educated, while others face extreme poverty, poor health, and limited opportunities. This lesson explores those global patterns, the classification systems used to group countries, and the key concept of the development gap.
If you plot indicators like GNI per capita or HDI on a world map, a striking pattern appears:
This broad pattern has remained remarkably consistent over decades, though some countries have experienced dramatic improvements (particularly in East and South-East Asia).
In 1980, German politician Willy Brandt proposed a simple line dividing the world into the wealthy "North" and the poorer "South." This is known as the Brandt Line.
| Feature | The "North" | The "South" |
|---|---|---|
| Location | North America, Europe, Russia, Japan, Australia, New Zealand | Africa, Latin America, most of Asia |
| GNI per capita | Generally above $12,000 | Generally below $12,000 |
| HDI | Typically above 0.800 | Varies widely (0.350–0.800) |
| Life expectancy | 75–85 years | 50–75 years |
| Economy | Service-based, high-tech, diversified | Often agriculture-based, resource-dependent |
The Brandt Line is a simplification that is increasingly outdated:
Exam Tip: The Brandt Line is a useful starting point, but always acknowledge its limitations in exam answers. Saying "the pattern is more complex than the Brandt Line suggests" shows evaluative thinking.
Geographers and international organisations classify countries into groups based on their level of development. The most commonly used system in the Edexcel B specification groups countries into three categories:
| Classification | Full Name | Characteristics | Examples |
|---|---|---|---|
| HIC | High-Income Country | High GNI per capita (>$13,205), diversified economy, high HDI, good infrastructure | UK, USA, Japan, Germany, Australia |
| NEE | Newly Emerging Economy | Rapidly growing economy, increasing industrialisation, rising living standards, attracting foreign investment | India, China, Brazil, Nigeria, Mexico |
| LIC | Low-Income Country | Low GNI per capita (<$1,135), economy dependent on primary sector, low HDI, limited infrastructure | Chad, Niger, Malawi, Afghanistan, South Sudan |
graph LR
A[Country Classifications] --> B[LIC]
A --> C[NEE]
A --> D[HIC]
B --> B1[Low income]
B --> B2[Primary sector dominant]
B --> B3[Low HDI]
C --> C1[Rapidly growing income]
C --> C2[Industrialising]
C --> C3[Rising HDI]
D --> D1[High income]
D --> D2[Service sector dominant]
D --> D3[High HDI]
The World Bank uses a four-tier income classification based on GNI per capita:
| World Bank Category | GNI per Capita (2023) |
|---|---|
| Low-income | $1,135 or less |
| Lower-middle-income | 1,136–4,465 |
| Upper-middle-income | 4,466–13,845 |
| High-income | $13,846 or more |
The UN also uses the term Least Developed Country (LDC) for the world's poorest and most vulnerable nations — currently 46 countries, mostly in Africa.
It is important to understand that development varies enormously within countries, not just between them:
| Country | Wealthy Region | Poorer Region | Key Contrast |
|---|---|---|---|
| UK | London and South-East | Parts of Wales, Northern England | London's GVA per head is nearly double the national average |
| India | Maharashtra (Mumbai), Karnataka (Bangalore) | Bihar, Uttar Pradesh | Bihar's HDI is 0.574 while Kerala's is 0.782 |
| China | Eastern coastal cities (Shanghai, Shenzhen) | Western provinces (Gansu, Guizhou) | Coastal GDP per capita is 3–4x higher than inland |
| Brazil | South and South-East (São Paulo) | North-East (Maranhão) | The South-East produces over 50% of Brazil's GDP |
| Nigeria | Lagos (South-West) | North-East (Borno) | Lagos accounts for over 30% of Nigeria's GDP |
Exam Tip: Always be prepared to discuss variations within a country. Examiners reward answers that go beyond national-level generalisations to discuss regional contrasts.
The development gap is the difference in levels of development between the world's richest and poorest countries. Key statistics illustrate the scale of this gap:
| Indicator | Richest Countries (HIC average) | Poorest Countries (LIC average) | Gap |
|---|---|---|---|
| GNI per capita | ~$45,000 | ~$700 | 64x |
| Life expectancy | ~80 years | ~55 years | 25 years |
| Infant mortality | ~4 per 1,000 | ~60 per 1,000 | 15x |
| Literacy rate | ~99% | ~40–60% | 40–60 percentage points |
| Access to clean water | ~100% | ~50–70% | 30–50 percentage points |
This is a matter of debate:
Evidence the gap is narrowing:
Evidence the gap is widening:
There is no single reason. Development levels are the result of complex interactions between physical, historical, economic, and political factors. These will be explored in detail in the next lesson, but the key categories include:
Exam Tip: When explaining why a country is at a particular level of development, always use a combination of factors. Single-factor explanations will not reach the highest mark bands.
Development data is often presented using choropleth maps, which use shading to show different values across areas. For example, a world map shading countries by HDI score uses darker colours for higher values and lighter colours for lower values.
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