Measuring Development

The Challenge of Measurement

Development is a multidimensional concept encompassing economic progress, social well-being, environmental sustainability, political freedom, and quality of life. No single indicator captures all dimensions, and the choice of indicator shapes both our understanding of development and the policy prescriptions that follow. Selecting appropriate indicators requires awareness of what each measure captures, what it omits, and how it can be misinterpreted.

Single Economic Indicators

Gross Domestic Product (GDP) and Gross National Income (GNI)

GDP measures the total monetary value of all final goods and services produced within a country's borders in a given year. GNI adjusts GDP by adding income earned by residents from abroad and subtracting income earned by foreigners domestically.

Per capita figures (GDP per capita, GNI per capita) are standardised by population and are the most widely used indicators for comparing economic development across countries.

Measure	Formula	Strengths	Limitations
GDP per capita (current USD)	GDP / population	Widely available; standardised; facilitates international comparison	Does not account for income distribution; ignores non-market activities (subsistence farming, unpaid domestic labour); affected by exchange rate fluctuations
GNI per capita (PPP)	GNI / population, adjusted for purchasing power parity	Accounts for differences in price levels between countries; reflects income of residents including remittances	Still does not capture distribution; PPP adjustments are imprecise for rapidly changing economies
GDP growth rate	$(\mathrm{GDP}_t - \mathrm{GDP}_{t-1}) / \mathrm{GDP}_{t-1} \times 100$	Measures economic dynamism	Growth may not be inclusive; environmental costs not deducted

The World Bank Income Classification

The World Bank classifies countries into four income groups based on GNI per capita (2023 thresholds):

Classification	GNI per Capita (USD)	Examples
Low income	$\lt{1145}$	Afghanistan, Burundi, South Sudan, Mozambique
Lower-middle income	1145--4465	India, Nigeria, Bangladesh, Kenya
Upper-middle income	4466--13 845	China, Brazil, South Africa, Mexico
High income	$\gt{13 845}$	USA, UK, Japan, Germany, South Korea

Limitations of GDP as a Development Measure

1. Does not measure distribution. GDP per capita is an average that conceals inequality. Equatorial Guinea has a GNI per capita of approximately USD 8000 (upper-middle income), yet over 70% of its population lives below the national poverty line, because oil revenues accrue to a small elite.
2. Ignores non-market activities. Subsistence agriculture (which supports approximately 2 billion people globally), unpaid domestic labour (predominantly performed by women), and the informal economy (estimated at 60--80% of employment in Sub-Saharan Africa) are not captured by GDP.
3. Counts negative outcomes as positive. Environmental degradation (oil spills increase cleanup spending, raising GDP), traffic accidents (medical and repair costs increase GDP), and crime (security expenditure increases GDP) all contribute positively to GDP despite reducing well-being.
4. Does not account for sustainability. A country can achieve high GDP growth by depleting its natural capital (deforestation, overfishing, mineral extraction without reinvestment), which may undermine long-term development.
5. Affected by exchange rate distortions. GDP per capita at current exchange rates can be misleading for countries with undervalued or overvalued currencies.

Common Pitfalls: Using GDP per Capita Without Qualification

GDP per capita is the most commonly cited development indicator in examination responses, but it is also the most commonly misused. When using GDP per capita, always acknowledge its limitations (distribution, non-market activities, sustainability) and complement it with other indicators. A strong answer will use multiple indicators to construct a nuanced picture of development. For example, "Nigeria has a GDP per capita of approximately USD 2100 (World Bank, 2023), classifying it as lower-middle income. However, this average conceals extreme inequality (Gini coefficient approximately 35), and Nigeria's HDI of 0.535 places it in the medium human development category. The Multidimensional Poverty Index shows that approximately 47% of Nigerians experience overlapping deprivations in health, education, and living standards."

Composite Indicators

Human Development Index (HDI)

The HDI, created by the UN Development Programme (UNDP) in 1990, combines three dimensions into a single index ranging from 0 to 1:

$\mathrm{HDI} = \frac{I_{\mathrm{health}} + I_{\mathrm{education}} + I_{\mathrm{income}}}{3}$

where $I_{\mathrm{health}}$ is measured by life expectancy at birth, $I_{\mathrm{education}}$ is the geometric mean of mean years of schooling and expected years of schooling, and $I_{\mathrm{income}}$ is measured by GNI per capita (PPP).

HDI Category	Range	Number of Countries (2023)	Examples
Very high	$\geq{0.800}$	66	Switzerland (0.962), Norway (0.966), Australia (0.946)
High	0.700--0.799	53	China (0.788), Brazil (0.760), Turkey (0.838)
Medium	0.550--0.699	46	India (0.644), Kenya (0.601), Bangladesh (0.670)
Low	$\lt{0.550}$	34	South Sudan (0.385), Chad (0.394), Niger (0.394)

Critique of the HDI

Strengths: broader than GDP alone; captures health and education as well as income; widely recognised and used; facilitates cross-country comparison; has stimulated debate about the meaning of development.

Limitations:

1. Does not capture inequality. The HDI uses national averages, which can mask large internal disparities. Two countries with the same HDI may have very different distributions of health, education, and income. The Inequality-Adjusted HDI (IHDI) corrects for this by discounting each dimension according to its level of inequality.
2. Ignores environmental sustainability. A country can achieve a high HDI while degrading its environment and exceeding its ecological footprint. The Planetary pressures-adjusted HDI (PHDI) adjusts the HDI for $\mathrm{CO_2}$ emissions and material footprint.
3. Averages can obscure deprivation. A country with moderate average life expectancy but high infant mortality (and correspondingly low old-age mortality) can achieve the same health index as a country with low infant mortality and moderate old-age mortality, despite very different population experiences.
4. Limited dimensions. The HDI does not capture political freedom, gender equality, personal security, social cohesion, mental health, or environmental quality.

Gender-Related Indices

Gender Inequality Index (GII). Measures gender-based inequality across three dimensions: reproductive health (maternal mortality ratio, adolescent birth rate), empowerment (seats in parliament, secondary and higher education attainment), and labour market participation. GII values range from 0 (no inequality) to 1 (maximum inequality). As of 2023, the lowest GII values (least inequality) are found in Denmark (0.039), Switzerland (0.038), and the Netherlands (0.040); the highest (most inequality) in Yemen (0.835), Afghanistan (0.738), and Chad (0.707).

Gender Development Index (GDI). Compares female and male HDI values. A GDI of 1.00 indicates full gender parity in human development. Globally, the female HDI is approximately 5% lower than the male HDI.

Multidimensional Poverty Index (MPI)

The MPI, developed by the Oxford Poverty and Human Development Initiative (OPHI) and the UNDP, identifies overlapping deprivations across three dimensions using ten indicators:

Dimension	Indicators
Health	Nutrition (undernourishment), child mortality
Education	Years of schooling (no household member has completed at least 6 years), school attendance (any school-aged child not attending)
Living standards	Cooking fuel (dung, wood, charcoal), sanitation (unimproved or shared), drinking water (unimproved or long walk), electricity, housing (inadequate materials), assets (lack of more than one of: radio, TV, telephone, computer, bicycle, motorbike, refrigerator, car)

A person is classified as multidimensionally poor if deprived in at least one-third of the weighted indicators. As of 2023, approximately 1.1 billion people (approximately 14% of the global population) live in multidimensional poverty. The highest rates are in Sub-Saharan Africa (approximately 579 million people) and South Asia (approximately 385 million people).

Advantages of the MPI over income-based poverty measures:

• Captures the non-income dimensions of poverty (health, education, living standards).
• Reveals the pattern of overlapping deprivations (a person may have adequate income but lack sanitation, clean water, and electricity).
• Identifies specific deprivations that policy can target.

Alternative Measures of Development

Gross National Happiness (GNH)

Gross National Happiness, developed by Bhutan, is a holistic measure of development that encompasses nine domains: psychological well-being, health, education, time use, cultural resilience, good governance, community vitality, ecological diversity, and living standards. Bhutan uses GNH as a guide for policy-making, screening all new government policies through a GNH impact assessment.

Strengths: broadens the concept of development beyond economic metrics; integrates environmental sustainability and cultural values.

Limitations: difficult to quantify and compare across countries; some domains (psychological well-being, cultural resilience) are inherently subjective; the relevance of Bhutanese cultural values to other contexts is questionable.

Happy Planet Index (HPI)

The Happy Planet Index, developed by the New Economics Foundation, combines three indicators:

$\mathrm{HPI} = \frac{\mathrm{Experienced well-being} \times \mathrm{Life expectancy}}{\mathrm{Ecological footprint}}$

The HPI measures the ecological efficiency with which countries achieve well-being. Countries with high well-being and long life expectancy but low ecological footprints score highest.

Results: Costa Rica consistently ranks first (high life expectancy of approximately 80 years, high reported well-being, and a relatively low ecological footprint). High-income countries typically score poorly because their high well-being is achieved at the cost of large ecological footprints. The USA, despite high GDP per capita, ranks approximately 122nd out of approximately 140 countries because of its very high ecological footprint.

Social Progress Index (SPI)

The Social Progress Index measures social and environmental outcomes independently of economic indicators, across three dimensions: basic human needs (nutrition, water, shelter, safety), foundations of wellbeing (basic education, health, ecosystem sustainability), and opportunity (personal rights, personal freedom, choice, inclusiveness, access to advanced education).

Key finding: there is not a perfect correlation between economic development (GDP per capita) and social progress. Some countries achieve high social progress at moderate income levels (Costa Rica, Uruguay, New Zealand), while others achieve low social progress despite high income (Kuwait, Saudi Arabia). This suggests that social progress depends on policy choices and institutional quality, not just income.

Common Pitfalls: Comparing Indices Without Understanding Their Methodology

Each composite index uses a specific methodology (choice of dimensions, indicators, weights, normalisation procedures) that shapes the results. Comparing countries' rankings across different indices without understanding these methodological differences can lead to misleading conclusions. For example, a country may rank high on the HDI (because it has high income) but low on the HPI (because its ecological footprint is large), or high on the HDI but low on the IHDI (because income is highly unequal). When using composite indices in examination responses, briefly explain what the index measures and how it is constructed, and use the index that is most relevant to the specific aspect of development being discussed.

For related topics, see ./trade-and-aid and ./sustainable-development-goals. The parent topic page is at ../economic-development.