Population and Development / Quality of Life
This section covers Population and Development / Quality of Life. The exam tests how demographic change links to resources, health, education, gender and sustainable development, and how to interpret indicators such as the Human Development Index and dependency ratio.
Core rules
- Development is multi-dimensional: income, health, education, gender equality and environmental quality all matter. HDI combines life expectancy, education and gross national income per capita; it is not a pure income measure.
- Carrying capacity is the maximum population an environment can support sustainably given technology and consumption patterns.
- The demographic dividend is the potential economic gain from a large working-age population. It becomes real only with jobs, education, health and female labour participation; otherwise it is only a window.
- Quality-of-life indicators include infant mortality rate, maternal mortality ratio, literacy, life expectancy, sanitation, nutrition and inequality.
- Population impact depends on numbers, per-capita consumption and technology, often summarised as Impact = Population × Affluence × Technology.
- Girls' education tends to delay marriage, lower fertility and improve child health.
Worked example
A population has 30% aged 0-14, 60% aged 15-59 and 10% aged 60 and above. Dependency ratio = (30 + 10) ÷ 60 × 100 = 66.7 dependents per 100 working-age people. The reasoning is that the young and old are usually outside the labour force, so they are in the numerator. A high ratio can strain schools and health services; a low ratio is an opportunity, not a guarantee of growth.
Traps
- HDI is not just GDP per capita.
- A demographic dividend is not automatic; without jobs and education it can become a burden.
- Correlation between population growth and poverty does not prove that one causes the other.
- Population control alone does not raise quality of life if distribution and consumption are ignored.
In Odisha, tribal districts, labour migration, urban slums and women's self-help groups show how population and development interact locally.