Measures of Economic Development
& Their Trends
Beyond GDP — every index, every formula, every India-specific trend across HDI, MPI, GII, PQLI, Gini Coefficient, and Green GDP in one comprehensive chapter.
🎯 Relevant For: UPSC CSERBI Grade BNABARD Grade ASEBIState PSCCUET PGUGC NETIESIIT JAM
🎯 What You Will Learn
- Explain why GDP/per capita income is insufficient as a development measure
- Master HDI: components, formula, India’s score and trend (HDR 2025)
- Understand IHDI, GDI, GII — gender and inequality-adjusted indices
- Explain MPI — dimensions, India’s poverty reduction, NITI Aayog data
- Define PQLI — Morris Morris, three components, India comparisons
- Interpret Gini Coefficient and Lorenz Curve — inequality measurement
- Analyse India’s global index rankings across all measures
- Understand Green GDP, Sustainable Development, SDG progress
In 2024, India was the world’s 4th largest economy by nominal GDP. Yet in the same year, India ranked 130th out of 193 countries on the Human Development Index, 105th on the Global Hunger Index, and had the world’s largest number of multidimensionally poor people (234 million). How can a country be simultaneously one of the world’s most powerful economies and home to one-sixth of the world’s poorest?
The answer is simple: GDP measures the size of the economy — not the quality of people’s lives. This is why economists, the UN, and policymakers have developed a rich toolkit of alternative measures of development. This chapter is about mastering that toolkit — every index, every formula, every India trend.
Why GDP & Per Capita Income Are Insufficient
GDP and per capita income are the most commonly used economic measures — but they systematically miss several important aspects of well-being. Before understanding the alternatives, we must understand exactly what GDP fails to capture.
| Limitation | What GDP Misses | India Example |
|---|---|---|
| Income Inequality | GDP can grow while the rich get richer and the poor get poorer. Average hides distribution. | India’s GDP grows 7.6% (FY26) yet top 1% own 40%+ of national wealth (WID.world estimate) |
| Non-Market Production | Household work, childcare, unpaid labour — all excluded despite creating real value | Women’s unpaid household work in India estimated at 3.1% of GDP (McKinsey 2015) |
| Environmental Degradation | Pollution, deforestation, soil erosion increase GDP (clean-up costs) but reduce welfare | 13 of 20 most polluted cities globally are in India (World Air Quality Report 2024) |
| Black/Informal Economy | India’s large informal sector (~50% of GDP) is underrecorded; GDP understates activity | 90% of workforce in informal sector (PLFS 2023-24) — much of their output unrecorded |
| Quality of Life Dimensions | Health, education, freedom, happiness, social security — not captured in GDP | India ranks 126th on World Happiness Report (2024) despite being 4th in GDP |
| Sustainability | GDP treats resource depletion as income, not as running down the capital stock | India’s natural capital degradation reduces true wealth faster than GDP growth suggests |
| Price Level Differences | Comparing nominal GDP across countries ignores price differences — PPP adjustment needed | India’s per capita income ($2,934 nominal) vs $10,000+ in PPP terms — very different pictures |
Simon Kuznets, who developed the national income accounting system and won the Nobel Prize in 1971, himself warned: “The welfare of a nation can scarcely be inferred from a measurement of national income.” The man who created GDP told us not to use it as the sole welfare measure — a fact that competition exam setters love to test.
Human Development Index (HDI) — The Gold Standard
The HDI is the most widely used alternative to GDP for measuring development. It was conceptualised by Pakistani economist Mahbub ul Haq and Indian Nobel Laureate Amartya Sen, and has been published annually by UNDP since 1990.
A composite statistic combining three dimensions of human development: (1) a long and healthy life, (2) knowledge, and (3) a decent standard of living. The HDI is the geometric mean of normalised indices of these three dimensions. Scale: 0 to 1.
Dimension 2 — Education: Mean Years of Schooling + Expected Years of Schooling
Dimension 3 — Living Standards: GNI per capita (PPP, 2017 US$)
Each dimension is normalised → Index = (Actual − Min) ÷ (Max − Min)
HDI = ∛(Health Index × Education Index × Income Index)
i.e., Geometric Mean of the three dimension indices
| Dimension | Indicator | Minimum (floor) | Maximum (ceiling) | India Value (2023) |
|---|---|---|---|---|
| Health | Life Expectancy at Birth | 20 years | 85 years | 72.0 years |
| Education | Expected Years of Schooling | 0 years | 18 years | 13.0 years |
| Mean Years of Schooling | 0 years | 15 years | 6.9 years | |
| Living Standards | GNI per capita (PPP, 2017 $) | $100 | $75,000 | $9,047 (2023) |
| HDI Category | Score Range | India’s Status | Notable Countries |
|---|---|---|---|
| 🟢 Very High HDI | ≥ 0.800 | — | Switzerland (0.967), Norway, Germany, Japan |
| 🔵 High HDI | 0.700 – 0.799 | India approaching (0.685 in 2023) | China (0.788), Sri Lanka (0.780), Brazil (0.760) |
| 🟡 Medium HDI | 0.550 – 0.699 | India: 0.685 (Rank 130/193) | Bangladesh, Vietnam, Egypt |
| 🔴 Low HDI | < 0.550 | — | Several Sub-Saharan African nations |
The UNDP Human Development Report 2025 (titled “A Matter of Choice: People and Possibilities in the Age of AI”, released May 2025) shows India at Rank 130/193, HDI Score 0.685 (based on 2023 data). This is up from Rank 133 (2022 data). India’s life expectancy reached a record 72 years. India’s HDI has grown by 53%+ since 1990 (from 0.434 to 0.685). The threshold for High HDI is ≥ 0.700 — India is close but hasn’t crossed it yet. (India is STILL in the Medium HDI category.)
The HDI Family — IHDI, GDI, GII & Beyond
UNDP publishes four complementary indices alongside HDI to capture inequality, gender, and poverty dimensions. Each is separately tested in exams — know all four cold.
IHDI
GDI
GII
MPI
| Index | What It Measures | Key Formula/Method | India Latest | Source |
|---|---|---|---|---|
| HDI | Life + Education + Income (average achievement) | Geometric mean of 3 dimension indices | 0.685, Rank 130/193 | HDR 2025 (UNDP) |
| IHDI | HDI adjusted for internal inequality | HDI × (1 − Inequality A coefficient) | ~0.475 (30.7% loss) | HDR 2025 (UNDP) |
| GDI | Gender gap in HDI dimensions | Female HDI ÷ Male HDI | 0.874, Group 5 | HDR 2025 (UNDP) |
| GII | Gender disadvantage (reproductive health + empowerment + labour) | Harmonic mean approach; higher = worse | 0.403, Rank 102/193 | HDR 2025 (UNDP) |
| MPI | Multiple overlapping deprivations simultaneously | Incidence (H) × Intensity (A) of poverty | 11.28% poor (2022-23) | NITI Aayog |
| PHDI | HDI adjusted for planetary pressures (CO₂ + material footprint) | HDI × (1 − planet pressure index) | India PHDI < HDI (carbon-intensive growth) | HDR 2025 (UNDP) |
India’s HDI (0.685) falls to ~0.475 when adjusted for inequality (IHDI) — a 30.7% drop. This means inequality erases nearly one-third of India’s human development gains. This is among the highest “inequality penalties” in the Asia-Pacific region. The culprit: stark income inequality (top 1% own ~40% of wealth), unequal access to quality healthcare, and large education disparities between rich and poor. (Source: UNDP HDR 2025, ForumIAS analysis)
Physical Quality of Life Index (PQLI) — Morris Morris’s Measure
Before the HDI was created in 1990, the PQLI was the most popular non-GDP measure of development. It is still tested extensively in competitive exams — especially UPSC, IES, and UGC NET.
An index created by Morris David Morris in the mid-1970s for the Overseas Development Council. It measures basic human well-being using three equally-weighted components — all on a scale of 1–100. It was developed due to dissatisfaction with GNP as a development indicator. (Note: The full name is Morris D. Morris — sometimes written as “Morris Morris” in Indian textbooks.)
LEI = Life Expectancy Index (rated 1–100)
IMI = Infant Mortality Index (rated 1–100; lower IMR = higher score)
BLI = Basic Literacy Index (rated 1–100)
Each indicator rated on 1–100 scale. Equal weight given to all three. Average = PQLI.
| Feature | PQLI (Morris Morris) | HDI (UNDP) |
|---|---|---|
| Developed by | Morris David Morris, 1970s | Mahbub ul Haq + Amartya Sen, 1990 |
| Published by | Overseas Development Council (not updated regularly) | UNDP — annual Human Development Report |
| Components | Life Expectancy (at age 1) + IMR + Literacy Rate | Life Expectancy (at birth) + Education (mean + expected years) + GNI per capita |
| Income Included? | ❌ No — deliberately excludes income | ✅ Yes — GNI per capita included |
| Scale | 1 to 100 (simple average) | 0 to 1 (geometric mean) |
| Weighting | Equal weight (1/3 each) | Geometric mean (not simple average) |
| India State Best | Kerala (highest PQLI) | Kerala / Goa (highest state HDI) |
| India State Worst | UP / MP (lowest PQLI) | Bihar (lowest state HDI) |
| Current Relevance | Historical; largely superseded by HDI | Global standard; most widely used |
PQLI key exam facts: (1) Developed by Morris David Morris — not “Morris Morris” (that’s a common textbook error for his name); (2) Published in 1976 for the Overseas Development Council; (3) Does NOT include income/GDP — this is its biggest difference from HDI; (4) Uses life expectancy at age 1 (not birth like HDI); (5) Scale is 1–100 (not 0–1 like HDI); (6) Sri Lanka famously had a very high PQLI despite low per capita income — showing welfare doesn’t always follow income.
Gini Coefficient & Lorenz Curve — Measuring Inequality
While HDI and PQLI measure average development, neither directly measures how unequally development is distributed. The Gini Coefficient and Lorenz Curve are the standard tools for measuring income/wealth inequality.
A graphical representation of income/wealth distribution, plotting the cumulative share of income (Y-axis) against the cumulative share of population (X-axis). The further the Lorenz Curve bows from the 45° “line of perfect equality,” the greater the inequality.
The grey area between the Line of Equality and the Lorenz Curve = Gini Coefficient numerically
A numerical measure of inequality derived from the Lorenz Curve. Gini = Area between Line of Equality and Lorenz Curve ÷ Total area under Line of Equality. Scale: 0 (perfect equality — everyone earns the same) to 1 (maximum inequality — one person earns everything). Developed by Italian statistician Corrado Gini (1912).
| Gini Value | Interpretation | Country Examples |
|---|---|---|
| 0.20 – 0.30 | Low inequality — highly egalitarian | Slovakia (0.24), Slovenia (0.25), Scandinavian nations |
| 0.30 – 0.40 | Moderate inequality | India (~0.35), Germany (0.32), France (0.33) |
| 0.40 – 0.50 | High inequality | USA (0.41), China (0.38–0.46), Brazil (0.48) |
| >0.50 | Very high inequality | South Africa (0.63) — world’s most unequal major country |
India’s Gini Coefficient of ~0.35 (World Bank estimate) understates the true picture. Wealth inequality is far more severe than income inequality — the top 1% of Indians hold approximately 40% of national wealth, and the top 10% hold ~77% (World Inequality Report 2022). Income inequality has been rising since liberalisation in 1991, though absolute poverty has fallen. This shows India is growing richer as a nation while becoming more unequal in its distribution.
Multidimensional Poverty Index (MPI) — Beyond Income Poverty
Traditional poverty measurement uses a monetary threshold (e.g., Below Poverty Line income). But poverty is multidimensional — a person can have income above the poverty line but still lack clean water, electricity, or education. The MPI captures this.
Developed by OPHI (Oxford Poverty and Human Development Initiative) with UNDP support in 2010. It identifies the poor as those who are deprived in 3 or more out of 10 indicators spanning three dimensions: Health, Education, and Living Standards. MPI = Incidence (H) × Intensity (A), where H = proportion of population that is MPI-poor and A = average share of deprivations they face.
| Dimension (Weight) | Indicator | Deprivation Threshold |
|---|---|---|
| Health (1/3) | Nutrition | Any adult or child under 5 is malnourished |
| Child Mortality | Any child has died in the family in the last 5 years | |
| Education (1/3) | Years of Schooling | No household member ≥ 10 years with 6+ years of schooling |
| School Attendance | Any school-age child not attending school up to Class 8 | |
| Living Standards (1/3) | Cooking Fuel | Uses dung, wood, charcoal, or coal (solid fuels) |
| Sanitation | Toilet doesn’t meet minimum standards (open defecation) | |
| Drinking Water | No clean water within 30-minute round trip | |
| Electricity | No electricity access | |
| Housing | Inadequate floor, roof, or walls | |
| Assets | Household lacks at least one modern asset (radio, TV, phone, bike, car…) |
🇮🇳 India’s MPI Progress — A Remarkable Achievement
Other Important Development Measures
Green GDP
GNH
NNW / MEW
SDG Index
| Index | Publisher | India’s Rank | India’s Score/Value | Year of Data |
|---|---|---|---|---|
| HDI | UNDP | 130 / 193 | 0.685 | HDR 2025 (2023 data) |
| GII (Gender Inequality) | UNDP | 102 / 193 | 0.403 | HDR 2025 (2023 data) |
| GDI | UNDP | Group 5 | 0.874 | HDR 2025 |
| Global MPI | OPHI + UNDP | ~70th (234M poor — largest) | MPI poverty 11.28% | 2023-24 / NITI Aayog |
| Global Hunger Index | Welthungerhilfe + Concern | 105 / 127 | Score: 27.3 (serious) | GHI 2024 |
| World Happiness Report | UN SDSN | 118 / 147 | — | 2025 |
| Global Innovation Index | WIPO | 38 / 133 | — | GII 2025 |
| IMD World Competitiveness | IMD | 39 / 67 | — | 2024 |
| CCPI (Climate) | Germanwatch + CAN | 10th | — | 2025 |
| Press Freedom Index | RSF | 151 / 180 | — | 2025 |
| Corruption Perceptions Index | Transparency Int’l | 96 / 180 | Score: 39 | 2023 |
| Ease of Doing Business | World Bank | 63 / 190 (last) | — | 2020 (discontinued) |
India’s Development Trends — Progress & Persistent Gaps
India’s development story is one of remarkable achievement and persistent structural challenges. Let’s examine the trends across all measures.
✅ What India Has Achieved (Positive Trends)
| Indicator | 1990/Earlier | Latest (2023-25) | % Improvement |
|---|---|---|---|
| HDI Score | 0.434 (1990) | 0.685 (2023) | +57.6% |
| Life Expectancy | 58.6 years (1990) | 72 years (2023) | +13.4 years |
| Expected Schooling | 7.8 years (1990) | 13.0 years (2023) | +66.7% |
| GNI per capita (PPP) | $2,167 (1990) | $9,047 (2023) | +317% |
| MPI Poverty | ~55% (2005-06) | 11.28% (2022-23) | Massive reduction |
| IMR | 88 (1990) | 27 (SRS 2021) | -69.3% |
| Literacy Rate | 52.2% (1991) | ~80%+ (est. 2023) | +50%+ |
| Access to Electricity | ~55% households (2000) | >99% (Saubhagya scheme) | Near-universal |
⚠️ Persistent Challenges (Where India Lags)
| Challenge Area | Data Point | Policy Response |
|---|---|---|
| Income Inequality | Top 1% own ~40% of national wealth; Gini ~0.35 (rising post-1991) | Progressive taxation, PM-KISAN, MGNREGA |
| Gender Inequality | GII rank 102; Female LFPR ~37%; 1 in 3 women anaemic (NFHS-5) | Beti Bachao Beti Padhao, Women Reservation Act 2023 |
| Malnutrition | GHI rank 105/127 (serious); 36% children stunted (NFHS-5) | POSHAN Abhiyaan, Mid-Day Meal, ICDS |
| Air Pollution | 13 of 20 most polluted cities globally are in India | National Clean Air Programme (NCAP), BS-VI fuel norms |
| Education Quality | High enrolment but poor learning outcomes (ASER reports); India’s R&D only 0.64% of GDP | NEP 2020, PM-SHRI Schools |
| Regional Disparities | Kerala HDI ≈ Thailand; Bihar HDI ≈ Sub-Saharan Africa | PM Gati Shakti, Aspirational Districts Programme |
⚠️ Common Exam Mistakes
💡 Chapter 5 — Key Takeaways
- 1GDP fails as a sole welfare measure — it ignores inequality, environmental degradation, non-market work, quality of life, and sustainability.
- 2HDI = Geometric Mean of (Life Expectancy Index + Education Index + Income Index). Developed by Mahbub ul Haq + Amartya Sen, published by UNDP since 1990.
- 3India HDR 2025: Rank 130/193, HDI Score 0.685 (Medium category). Threshold for High HDI: ≥ 0.700 — India hasn’t crossed yet. IHDI: ~0.475 (30.7% inequality loss).
- 4PQLI: Created by Morris David Morris (1970s) for Overseas Development Council. Components: Life Expectancy (age 1) + IMR + Literacy. Scale 1–100. DOES NOT include income.
- 5Gini Coefficient: 0 = perfect equality; 1 = maximum inequality. India ~0.35. South Africa (0.63) most unequal. Lorenz Curve: further from 45° line = more inequality.
- 6MPI = H × A (Incidence × Intensity). 10 indicators across Health, Education, Living Standards. India: 135 million escaped MPI poverty (2015-21); 11.28% still MPI-poor (2022-23).
- 7GNH: Bhutan’s alternative (King Jigme, 1972). Green GDP adjusts GDP for environmental costs. SDG Index tracks progress on 17 UN Sustainable Development Goals (Agenda 2030).
- 8India’s paradox: 4th largest economy (GDP) but 130th on HDI, 105th on GHI, 118th on Happiness — showcasing that economic growth alone does not guarantee human development.
⚡ Rapid Recall — Exam MCQ Facts
🎯 Chapter 5 Assessment — Development Measures
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