11.4 Characteristics of countries at different levels of development

Syllabus
9708–2026–2027
Topic
11.4
Level
A2

Learning objectives

Population change must be measured before its structure can be evaluated

Indicator Standard measurement
Birth rate Live births per year / total population x 1000
Death rate Deaths per year / total population x 1000
Infant mortality rate Deaths before age 1 / live births in the year x 1000
Net migration Immigrants - emigrants; net migration rate divides this by population x 1000
Population change Births - deaths + net migration (ignoring statistical adjustment)
Urbanisation level Urban population / total population x 100
Change Important causes and structural effects
Birth/fertility falls Female education/employment, contraception, urban child costs, pensions and lower infant mortality; youth share later falls
Death/infant mortality falls Nutrition, sanitation, clean water, vaccines/healthcare and income; population may initially grow faster and later age
Net inward migration Wage/job/security/education pull and conflict/poverty push; labour/AD/tax base rise but housing/services face pressure
Net outward migration Remittances may improve current transfers, but brain drain/worker loss can reduce capacity
Longer life expectancy/ageing Larger old-age dependency, health/pension demand and possible saving/labour-supply changes

Optimum population is the population size that maximises real output/income per head given the current natural resources, capital and technology. Below it, more labour/specialisation may raise output per head; above it, congestion and scarce factors may lower it. Better technology, capital, productivity or usable resources shift the optimum upward; a higher birth rate alone does not.

Urbanisation rises through rural-urban migration, natural increase in towns and reclassification of settlements. It can improve agglomeration, jobs and service access, but rapid unplanned growth can create congestion, housing/infrastructure shortages, pollution and informal employment while rural areas lose workers.

A falling population-growth rate does not mean population is falling while the rate remains positive. Read absolute numbers separately from percentages, and distinguish total dependency/age structure from a single birth or death rate.

Lorenz geometry turns income shares into a Gini coefficient

A Lorenz curve plots the cumulative percentage of households/people, ordered poorest to richest, on the horizontal axis against their cumulative percentage of income (or wealth) on the vertical axis. The 45-degree line is perfect equality; the Lorenz curve lies on/below it.

Gini = A / (A + B)

A is the area between the equality line and Lorenz curve; B is the area under the Lorenz curve within the equality triangle. If source areas are labelled X and Y, identify geometry rather than letters: numerator is the inequality gap and denominator is the whole triangle below equality.

Change Interpretation
Curve moves closer to equality line Distribution becomes more equal; Gini falls toward 0
Curve bows farther away Distribution becomes more unequal; Gini rises toward 1
Gini = 0 Perfect equality in the measured distribution
Gini = 1 Theoretical perfect inequality: one unit receives all measured income/wealth

More progressive direct taxes, targeted transfers, minimum wages or broader education/asset access may reduce post-policy inequality; regressive indirect taxes, weaker inheritance/capital-gains taxation or long-term unemployment may increase it. The observed effect depends on behavioural responses and whether data are pre/post tax and income or wealth.

Gini measures relative distribution, not average income or poverty. Two countries can share a Gini with different Lorenz shapes and income levels, and wealth is usually distributed differently from income. State population, income definition, tax/transfer treatment and year before comparing.

Development changes employment sectors and the composition of trade

Sector Main activity Examples
Primary Extract/cultivate natural resources Agriculture, fishing, forestry, mining
Secondary Transform materials/build capital and structures Manufacturing, processing, construction
Tertiary Provide market/public services Retail, transport, finance, health, education, tourism, digital services
Broad development pattern Employment/productivity mechanism Typical risk
Lower-income High primary employment, often labour-intensive/subsistence and underemployment Low productivity, volatile commodity income and limited formal jobs
Industrialising/emerging Labour shifts toward manufacturing/construction and urban services; capital/skills raise productivity Displacement, urban pressure, pollution and unequal regional gains
Higher-income Lower primary employment share and larger/high-value tertiary plus advanced manufacturing Service-sector size can hide low-paid work/deindustrialisation; output shares differ from employment shares
Development context Common trade pattern Consequences/conditions
Commodity-dependent lower-income Export primary commodities; import machinery, manufactures and some services Price volatility, deteriorating terms/foreign exchange risk; resource endowment can still generate high income
Industrialising Rising manufactured exports, imported capital/intermediate inputs and participation in global value chains Learning/jobs/export diversification versus import dependence and low value capture
Higher-income/diversified More high-value manufactures/services, intra-industry trade, capital/technology and complex value-chain flows Greater diversification but exposure to financial/service/global shocks

Mechanisation can reduce agricultural employment while farm output rises; released workers may enter manufacturing/logistics. A falling primary employment share therefore does not prove primary output fell, and an expanding service share must be evaluated by productivity and job quality.

These are common patterns, not a ranking rule. Geography, natural resources, institutions, technology, policy and trade agreements can produce exceptions. Use sector shares and trade composition alongside income, productivity, informality and human-development evidence.