Social Indicators
of Development
HDI · PQLI · IHDI · GII · GDI · MPI · Health & Education metrics — India’s 2025 social scorecard, all UNDP indices decoded, latest data from NFHS-5 & SRS, with exam-ready analysis.
🎯 Relevant For: UPSC CSERBI Grade BNABARD Grade AState PSCCUET PGUGC NETIESIIT JAM
🎯 What You Will Learn
- Why GDP alone is insufficient as a measure of development
- Define and calculate HDI — three dimensions, formula, India data
- Understand PQLI (Morris, 1976) — three indicators, formula, limitations
- Explain IHDI, GDI, GII, MPI — all UNDP composite indices
- Analyse India’s health indicators: IMR, MMR, U5MR, life expectancy
- Assess India’s education indicators: literacy, mean & expected years of schooling
- Evaluate India’s gender gap using GII and GDI (HDR 2025 data)
- Compare India’s social indicators with neighbours and SDG targets
In 1990, Pakistani economist Mahbub ul Haq and Indian Nobel Laureate Amartya Sen changed global development discourse forever. Their insight: a country where people are long-lived, educated, and have decent incomes is more developed than one with merely high GDP. Hence the Human Development Index (HDI) was born.
India in 2025: 4th largest economy by nominal GDP — but only 130th in HDI out of 193 nations. Life expectancy has risen from 58.6 years (1990) to 72 years (2023) — a remarkable achievement. India’s MMR fell from 570 (1990) to 88 (2023) — an 86% decline outpacing the global 48%. Yet women’s labour force participation remains just 28.3% and the gender gap in development persists.
Why Social Indicators? — Beyond GDP
Measures that capture the quality of human well-being beyond mere economic output. They assess dimensions like health, education, gender equality, poverty, and life quality — that GDP entirely misses. Social indicators answer the question: “Is economic growth actually translating into better human lives?”
| GDP’s Blind Spot | What It Misses | Better Measured By |
|---|---|---|
| Health outcomes | A country can have high GDP but poor healthcare — high infant mortality, low life expectancy | IMR, MMR, life expectancy, U5MR; HDI health dimension |
| Education quality | GDP doesn’t measure whether people are educated, literate, or skilled | Literacy rate, mean years of schooling, expected years of schooling; HDI education dimension |
| Distribution/Inequality | GDP averages hide severe inequality — a few billionaires can inflate GDP while masses remain poor | Gini coefficient, IHDI, income quintile ratios, MPI |
| Gender gaps | GDP doesn’t measure whether women share equally in development | GII (Gender Inequality Index), GDI (Gender Development Index), FLFPR |
| Multidimensional poverty | GDP-based poverty line misses non-income deprivations in health, education, living standards | MPI (Multidimensional Poverty Index) |
| Environmental sustainability | GDP counts pollution cleanup as positive; ignores natural resource depletion; no green accounting | PHDI (Planetary Pressures-Adjusted HDI); Green GDP; Environmental Performance Index |
| Political freedom | GDP says nothing about civil liberties, political rights, or democratic participation | Freedom House Index; Democracy Index; Governance indicators |
Kerala’s PQLI (Physical Quality of Life Index) has historically been among India’s highest — comparable to developed nations — despite its per-capita income being lower than many richer states. Kerala achieved near-universal literacy, very low IMR (~6/1000), and high life expectancy through sustained investment in public health and education over decades. This “Kerala Model” demonstrates that social indicators can diverge dramatically from income measures, and that policy choices matter as much as income levels.
PQLI — Physical Quality of Life Index
Developed by Morris David Morris (1976–79) of the Overseas Development Council (ODC), USA. It was the first major composite social indicator to measure basic human well-being without income. Each indicator is standardised on a scale of 0–100 (0=worst, 100=best) and then averaged equally. PQLI Formula: (LEI + IMI + BLI) ÷ 3 — where LEI = Life Expectancy Index, IMI = Infant Mortality Index, BLI = Basic Literacy Index. Range: 0 to 100.
📐 PQLI Formula
Each component is standardised: worst performing country = 0, best = 100. Then simple average. Final PQLI ranges from 0–100. Score above 77 generally considered acceptable. (Note: uses life expectancy at age 1, NOT birth.)
| Feature | PQLI (Morris, 1976) | HDI (UNDP, 1990) |
|---|---|---|
| Developed by | M.D. Morris, Overseas Development Council | Mahbub ul Haq + Amartya Sen, UNDP |
| Year | 1976 | 1990 |
| Components | 3 — Life expectancy (at age 1), Infant mortality rate, Basic literacy rate | 3 — Life expectancy (at birth), Education (mean+expected years), GNI per capita |
| Includes income? | NO — purely social/physical | YES — GNI per capita (logarithmic) |
| Aggregation | Simple average (equal weights) | Geometric mean of normalised indices |
| Scale | 0 to 100 | 0 to 1 |
| Limitation | No income; equal weights arbitrary; no gender dimension; static | No inequality, no gender detail, no environmental dimension (addressed by IHDI, GII, PHDI) |
| India’s status | Regional variation: Kerala ~90+ vs Bihar ~65; national average around 65-70 | India HDI 0.685; rank 130/193 (HDR 2025) |
(1) Omits income — cannot distinguish between poor countries with good social programmes and rich countries with poor ones; (2) Equal weights arbitrary — why should literacy count equally with infant mortality? No theoretical basis; (3) No gender dimension — men and women may have very different outcomes; (4) Life expectancy at age 1 (not birth) — unusual choice; (5) Static — doesn’t capture structural changes or sustainability; (6) Later superseded by HDI and MPI, which are more comprehensive.
HDI — Human Development Index
A composite index measuring average achievements in three key dimensions of human development: (1) Health — life expectancy at birth; (2) Education — mean years of schooling + expected years of schooling; (3) Living Standards — GNI per capita (2017 PPP $). Published annually by UNDP (except 2012). Uses geometric mean of three normalised sub-indices — so poor performance in any dimension reduces the overall HDI (unlike arithmetic mean which allows substitution). Introduced by Mahbub ul Haq (Pakistan) and Amartya Sen (India) in 1990.
📐 HDI Formula
Key: Geometric mean penalises imbalances. A country that improves health but neglects education gets a lower HDI than one that improves both. This embeds the idea that human development must be balanced across dimensions.
| Category | HDI Range | Example Countries | India’s Status |
|---|---|---|---|
| Very High HD | ≥ 0.800 | Iceland (0.972), Norway (0.970), Switzerland (0.966), Germany, Australia, Singapore | Far above India |
| High HD | 0.700 – 0.799 | China (0.788, rank 78), Sri Lanka (rank 89), Brazil, Russia | India approaching threshold |
| Medium HD ← India | 0.550 – 0.699 | India (0.685, rank 130), Bangladesh (130, shared rank), Vietnam, Ghana | India is here; threshold for High HD = 0.700 |
| Low HD | < 0.550 | Pakistan (rank 168), Afghanistan (rank 181), Niger (last), many sub-Saharan Africa | India’s neighbours Pakistan and Afghanistan here |
📊 India’s HDI Scorecard — HDR 2025 (Assessment Year 2023)
India shares 130th rank with Bangladesh (HDI 0.685). Neighbouring ranks: Bhutan (125th), Nepal (145th), Pakistan (168th), Afghanistan (181st). China: 78th (0.788) — in HIGH Human Development category. Sri Lanka: 89th. Globally, Iceland tops (0.972). India is approaching the threshold for High HD (0.700) — it needs 0.700 to cross into the High HD category. The gap is just 0.015 points.
UNDP’s Full Family of Development Indices
The UNDP has expanded beyond HDI to capture dimensions that HDI misses — inequality, gender disparity, poverty, and environmental sustainability.
IHDI — Inequality-Adjusted HDI
Reduces HDI based on the degree of inequality in health, education, and income. The “loss” = (HDI − IHDI) ÷ HDI × 100. Perfect equality = IHDI equals HDI. The greater the inequality, the bigger the discount.
GDI — Gender Development Index
Measures gender gaps in three HDI dimensions — health, knowledge, and living standards. GDI = Female HDI ÷ Male HDI. Value of 1.0 = perfect gender parity. India: female HDI = 0.631; male HDI = 0.722. Placed in Group 5 (high gender gap group).
GII — Gender Inequality Index
Measures gender-based disadvantages in reproductive health (MMR + adolescent birth rate), empowerment (parliamentary seats + secondary education), and labour market (LFPR). Range 0 (no inequality) to 1 (maximum inequality). India: ranks 102nd on GII with score 0.403 (HDR 2025) — improvement from 108th (2022).
MPI — Multidimensional Poverty Index
Measures simultaneous deprivations in health (nutrition, child mortality), education (years of schooling, school attendance), and living standards (cooking fuel, sanitation, drinking water, electricity, housing, assets). A household is “MPI poor” if deprived in ≥ one-third (33.33%) of weighted indicators.
PHDI — Planetary Pressures-Adjusted HDI
Adjusts HDI for a country’s per capita CO₂ emissions and material footprint. Rich countries with high HDI but high emissions see significant PHDI discounts. For India, where emissions per capita are low relative to income, PHDI is close to HDI — one of India’s few advantages.
GSNI — Gender Social Norms Index
Measures the percentage of people who hold biases against gender equality in political, educational, economic, and physical integrity dimensions. Based on World Values Survey. India has high social norm barriers against gender equality — significant constraint on women’s advancement.
India’s Health Indicators — Progress & Gaps
Health indicators are the core of social development measurement. India has made remarkable strides since independence, but inter-state disparities and the SDG 2030 deadline create urgency.
| Indicator | 1990 | 2014 | Latest (2021–23) | SDG 2030 Target | Kerala (Best) | UP/Bihar (Gap) |
|---|---|---|---|---|---|---|
| Life Expectancy at Birth | 58.6 yrs | ~66 yrs | 72 years (2023) | Not specified | ~75 years | ~66 years |
| IMR (Infant Mortality Rate) | 80/1000 | 39/1000 | 25/1000 (2023, SRS) | 12/1000 (SDG 3.2) | 6/1000 | 37/1000 |
| MMR (Maternal Mortality Ratio) | 570/lakh LB | 130/lakh LB | 88/lakh LB (2023, SRS) | <70/lakh LB (SDG 3.1) | 19/lakh | ~150/lakh |
| U5MR (Under-5 Mortality) | ~115/1000 | 45/1000 | 31/1000 (2021, SRS) | 25/1000 (SDG 3.2) | ~10/1000 | ~48/1000 |
| NMR (Neonatal Mortality) | ~52/1000 | 26/1000 | 19/1000 (2021) | 12/1000 | ~4/1000 | ~28/1000 |
| Total Fertility Rate (TFR) | 3.6 | 2.3 | 2.0 (2021, SRS) — at replacement | ~2.1 (replacement) | 1.8 | 2.7 (Bihar 2021) |
| Anaemia in Women (15-49 yrs) | — | 53% (NFHS-4) | 57% (NFHS-5, 2019-21) — WORSENED | Reduction | ~44% | ~68% |
| Institutional Deliveries | ~26% | 78.8% (NFHS-4) | 88.6% (NFHS-5) | 90%+ | ~99% | ~75% |
India’s Maternal Mortality Ratio (MMR) fell from 570 per lakh live births (1990) to 88 (2023) — an 86% reduction against the global 48% average. This is one of the greatest public health achievements in history, driven by Janani Suraksha Yojana (JSY — cash incentives for institutional delivery), Ayushman Bharat, NRHM, ASHA workers, and rising institutional births (88.6%). However: India still has not met the SDG 3.1 target of below 70 per lakh live births by 2030. Eight states (Kerala, Maharashtra, Telangana, AP, Tamil Nadu, Jharkhand, Gujarat, Karnataka) have already met the SDG target. High-burden states — Bihar, UP, MP, Assam — continue to account for disproportionate maternal deaths. (MoHFW PIB, April 2025; SRS MMR Bulletin 2021-23)
India’s Education Indicators — The Human Capital Gap
| Indicator | 1950/1990 | 2011 | Latest (2023-25) | SDG/Target | Key Issue |
|---|---|---|---|---|---|
| Literacy Rate | 12% (1947) / 52% (1990) | 74.04% (Census 2011) | ~80%+ (estimates 2021+) | Universal by 2030 (SDG 4) | Gender gap: Male ~84%, Female ~70%; state gap: Kerala 94% vs Bihar 64% |
| Expected Years of Schooling | 8.2 yrs (1990) | ~11 yrs | 13.0 yrs (HDR 2025) | — | Access is improving but quality and learning outcomes lag |
| Mean Years of Schooling | 3.0 yrs (1990) | ~5.4 yrs | 6.2 yrs (HDR 2025) | — | Still low — adults average only 6.2 years of actual schooling |
| Gross Enrolment Ratio — Primary | Low | ~95% | ~99% (near-universal) | 100% | Near-universal access achieved; learning outcomes (ASER) remain poor |
| ASER Learning Outcomes | — | Poor | ASER 2022: only 20% of Class 5 students can read a Class 2 text in rural areas | Basic literacy+numeracy for all | India’s “learning crisis” — enrolment ≠ learning |
| Higher Education GER | ~0.7% (1950) | ~17% | 28.4% (2021-22, AISHE) | 50% by 2035 (NEP 2020) | 47% graduates unemployable; skill-job mismatch |
| Female Literacy Gender Gap | 8.6% female literacy (1947) | 65.46% female (Census 2011) | ~70-72% female vs ~84% male | Gender parity in literacy | ~14 percentage point gap persists between male and female literacy |
India’s Annual Status of Education Report (ASER) consistently reveals a troubling gap between school enrolment and actual learning. ASER 2022: Only 20% of Class 5 rural students can read a Class 2 text; only 25% can do basic division. This “learning crisis” means India has massively expanded access to schooling (near-universal enrolment) but quality and learning outcomes remain deeply inadequate. NEP 2020 addresses this through Foundational Literacy and Numeracy (FLN) Mission (NIPUN Bharat) — aiming to ensure all Grade 3 children achieve basic reading and maths by 2026-27.
Gender Indicators — India’s Most Critical Development Gap
India’s gender indicators reveal one of its sharpest development paradoxes: rapid economic growth coexisting with deep, persistent gender inequality.
| Indicator | India (2023-25) | Global Average | South Asia | SDG Target |
|---|---|---|---|---|
| GII (Gender Inequality Index) | 0.403, rank 102/193 (improved from 0.437, rank 108 in 2022) | 0.462 | 0.478 | Close to 0 (full equality) |
| GDI (Gender Development Index) | 0.874 (Group 5: high gender gap) | ~0.95 | ~0.87 | Close to 1 (parity) |
| Female HDI | 0.631 | — | — | Equal to male |
| Male HDI | 0.722 | — | — | — |
| Female LFPR (Urban) | 25.6% (Q1 FY26, PLFS) | ~46% | ~25% | Gender parity by 2030 |
| Male-Female LFPR Gap | 47.8 percentage points (male 76.1% vs female 28.3%) — one of world’s largest | ~25 pp | ~50 pp | Reduce significantly |
| Women in Parliament | ~15% Lok Sabha (2024) | ~27% | ~20% | 50% (SDG 5.5) |
| Adolescent Birth Rate | 16.3/1000 women 15-19 yrs (2022) | 42/1000 | — | End child marriage |
| Child Marriage | 23.3% of women 20-24 married before 18 (NFHS-5) | Lower | Higher | End by 2030 (SDG 5.3) |
| Spousal Violence | ~29.3% of women experienced spousal violence (NFHS-5) | — | — | Eliminate (SDG 5.2) |
India’s GII score (0.403) is actually better than the global average (0.462) and South Asian average (0.478) — reflecting India’s relatively good performance on reproductive health indicators (low MMR compared to South Asia). However, India scores poorly on: labour force participation (male-female gap of 47.8 pp — one of the world’s largest), parliamentary representation (only ~15%), and women’s educational attainment. The Women’s Reservation Act (33% legislative seats for women) was passed in 2023 but implementation awaits the next delimitation exercise — not before 2029. This policy-implementation gap is a critical exam point.
Regional Disparities in Social Indicators — The Two Indias
| Indicator | Kerala (Best) | Tamil Nadu | National Average | Bihar | UP/MP/Rajasthan |
|---|---|---|---|---|---|
| Life Expectancy | ~75 yrs | ~73 yrs | 72 yrs (2023) | ~68 yrs | ~65-67 yrs |
| IMR (/1000 live births) | 6 | 12 | 25 (2023) | ~38 | 37 (UP/MP) |
| MMR (/lakh live births) | 19 | 54 | 88 (2023) | ~118 | ~150 |
| Literacy Rate | 94% | 82% | ~80% | 64% | 68% (UP 2011) |
| Female LFPR | ~35% | ~40% | 41.7% (overall; 25.6% urban) | ~30% | ~18% (UP urban) |
| TFR | 1.8 | 1.8 | 2.0 (2021) | 3.0 | 2.3 (UP 2021) |
The “BIMARU” states (Bihar, Madhya Pradesh, Rajasthan, Uttar Pradesh — coined by demographer Ashish Bose) continue to lag on most social indicators. These four states account for roughly 37% of India’s population but contribute disproportionately to national figures on IMR, MMR, child malnutrition, and child marriage. Despite improvements, the gap between Kerala (or Tamil Nadu) and Bihar on IMR is 37 deaths per 1000 live births vs 6 — a difference comparable to developed vs developing nations. Targeted social investment in these states is essential for India to meet SDG targets.
⚠️ Common Exam Mistakes
💡 Chapter 16 — Key Takeaways
- 1Social indicators capture what GDP misses: health (IMR, MMR, life expectancy), education (literacy, years of schooling), gender equity, and multidimensional poverty. They answer: “Is growth improving actual human lives?”
- 2PQLI (M.D. Morris, 1976): (LEI + IMI + BLI) ÷ 3. Three components — life expectancy at age 1, infant mortality rate, basic literacy at age 15. No income component. Scale 0–100. Superseded by HDI. Kerala ~90+; Bihar ~65.
- 3HDI (Mahbub ul Haq + Amartya Sen, UNDP, 1990): Geometric mean of Health (life expectancy at birth), Education (mean + expected years of schooling), and Income (GNI per capita). Scale 0–1. India 2025: 0.685, rank 130/193 — Medium HD category. Approaching 0.700 (High HD threshold).
- 4UNDP family: IHDI (adjusts for inequality; India loses 30.7% → 0.475) · GDI (female/male HDI ratio; India 0.874) · GII (reproductive health + empowerment + labour; India 0.403, rank 102) · MPI (10 indicators; India 11.28% in 2022-23) · PHDI (carbon-adjusted HDI; India: small discount).
- 5India health wins (2025): Life expectancy 72 years; IMR 25/1000; MMR 88/lakh LB (86% decline since 1990); U5MR 31/1000; TFR 2.0 (at replacement). 8 states already at SDG MMR target. 88.6% institutional deliveries (NFHS-5).
- 6India health gaps: MMR still above SDG target (need <70); anaemia in women WORSENED (57%, NFHS-5); massive state disparities (Kerala IMR 6 vs Bihar IMR 37–38); 22,500 maternal deaths per year still.
- 7Education: Literacy ~80%; expected schooling 13 yrs; near-universal primary enrolment. But ASER 2022 learning crisis — only 20% Class 5 students can read Class 2 text. ASER reveals “access without learning.” NEP 2020 targets Foundational Literacy & Numeracy (NIPUN Bharat) by 2026-27.
- 8Gender: GII 0.403 (rank 102) — better than global/South Asian averages. But male-female LFPR gap 47.8 pp (world’s largest). Women in parliament ~15% (target 33% under Women’s Reservation Act 2023 — awaiting delimitation/2029). Child marriage 23.3% (NFHS-5). Anaemia 57% in women.
⚡ Rapid Recall — Exam Facts
🎯 Chapter 16 Assessment — Social Indicators of Development
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