Modern Indicators: HDI
GII & the
Multidimensional Poverty Index
Recognising the limits of GDP as a sole measure of well-being, the UN uses richer indicators. As per HDR 2025, India ranks 130/193 on the HDI (value 0.685), 102/193 on the GII, and 66/109 on the Global MPI — having lifted 415 million people out of poverty between 2005-06 and 2019-21.
Recognising the limitations of GDP as a sole measure of well-being, several alternative indicators have been developed. These indicators — the Human Development Index (HDI), the Gender Inequality Index (GII), and the Multidimensional Poverty Index (MPI) — provide a far more holistic view of development by capturing what GDP misses: health, education, equity, and the lived experience of deprivation.
GDP tells you how much an economy produces; HDI, GII and MPI tell you whether that production reaches people as longer lives, real schooling, dignity for women, and freedom from deprivation. In the exam, these indices are how you operationalise "development beyond growth." — Legacy IAS Faculty
Recent Update — Human Development Report 2025
The Human Development Report (HDR) 2025, released by UNDP in May 2025 and titled "A Matter of Choice: People and Possibilities in the Age of AI," assesses 2023 data. It records the slowest pace of human-development progress since 1990 and warns that inequality between low- and very-high-HDI countries has widened for a fourth straight year.
- Category: India remains in the "medium human development" band, approaching the high-development threshold (HDI ≥ 0.700). Iceland tops the index (0.972); South Sudan is last (0.388).
- Indicator gains (2022 → 2023): life expectancy at birth 71.7 → 72.0 years; expected years of schooling ≈ 13 years; mean years of schooling ≈ 6.9 years; GNI per capita (PPP) $8,476 → $9,047.
- Neighbourhood: China (78), Sri Lanka (89) and Bhutan (125) rank above India; Bangladesh is on par at 130; Nepal (145) and Pakistan (168) rank lower.
- AI focus: The 2025 report frames AI as "a matter of choice" — India retains about 20% of its AI researchers (up from near zero in 2019) and reports the highest self-reported AI-skill prevalence globally.
Human Development Index (HDI)
The HDI is a composite index measuring average achievement in three key dimensions: a long and healthy life, knowledge, and a decent standard of living. First published in 1990 by the UNDP, it was developed by Pakistani economist Mahbub ul Haq and embodies Amartya Sen's "capabilities" approach — emphasising ends (like a decent standard of living) over means (like income per capita).
Alongside the HDI, the Human Development Report also presents the Multidimensional Poverty Index (MPI), the Inequality-adjusted HDI (IHDI), the Gender Inequality Index (GII, since 2010), and the Gender Development Index (GDI, since 2014).
How the HDI Is Built — Dimensions → Indicators → Index
| Dimension | Indicator(s) | Dimension Index |
|---|---|---|
| ❤️ Long & Healthy Life | Life expectancy at birth | Life expectancy index |
| 📚 Knowledge | Expected years of schooling; Mean years of schooling | Education index |
| 🪙 Decent Standard of Living | GNI per capita (PPP $) | GNI index |
The three dimension indices are combined (geometric mean) into a single HDI value between 0 and 1, sorting countries into four development bands:
Low Human Development
HDI less than 0.550.
Medium Human Development
HDI 0.550 – 0.699 (India: 0.685).
High Human Development
HDI 0.700 – 0.799.
Very High Human Development
HDI more than 0.800.
Gender Inequality Index (GII)
The GII measures gender inequalities in three important aspects of human development — reproductive health, empowerment, and the labour market (economic status). Its value ranges from 0 (perfect equality) to 1 (extreme inequality); a lower value is better.
- India's rank (HDR 2025): 102nd out of 193 countries, with a GII value of 0.403 — a steady improvement on its earlier trajectory (122nd in 2021 → 108th in 2022 → 102nd).
- Reproductive health: India performs better than other medium-development and South Asian countries; the adolescent birth rate improved to 16.3 births per 1,000 women aged 15-19 (from 17.1).
- The big gap — labour market: India has one of the largest gender gaps in labour-force participation — a 47.8 percentage-point gap, with female participation around 41.7% (HDR) against 76.1% for men.
- Empowerment: political representation lags, though the 106th Constitutional Amendment (2023) reserving one-third of legislative seats for women promises change. India's GDI stands at 0.874.
Multidimensional Poverty Index (MPI)
The MPI is an international measure of poverty developed by the UNDP and the Oxford Poverty and Human Development Initiative (OPHI). Unlike monetary poverty, which measures income alone, the MPI identifies people who are deprived in multiple aspects of life — education, health, and standard of living. The value ranges from 0 to 1, where a lower value indicates better performance. It captures both the incidence and intensity of poverty.
The Three Dimensions & Ten Indicators
The MPI measures deprivation through three equally-weighted dimensions, each containing weighted indicators. A household is multidimensionally poor when deprived in at least one-third (33%) of the weighted indicators.
Health (⅓ weight)
Two indicators, each weighted 1/6:
Education (⅓ weight)
Two indicators, each weighted 1/6:
Standard of Living (⅓ weight)
Six indicators, each weighted 1/18:
How the MPI Is Calculated
- Identification of Deprivations: each household is assessed across the ten indicators.
- Scoring: each indicator is given its weight and households are scored by deprivation status.
- Cut-off Point: if the cumulative deprivation score is 33% or more, the household is multidimensionally poor.
- Headcount Ratio (H): the proportion of people identified as poor.
- Intensity (A): the average proportion of indicators in which poor people are deprived.
- MPI Value (H × A): the final score is the Headcount Ratio multiplied by Intensity.
Global MPI 2025 — Key Findings
The Global MPI Report 2025, titled "Overlapping Hardships: Poverty and Climate Hazards" and released on 17 October 2025, evaluates data from 109 countries (with subnational estimates for 1,359 regions across 101 nations). It is a milestone in combining climate-hazard data with poverty measurement.
- 1.1 billion people (of 6.3 billion) live in acute multidimensional poverty.
- More than 50% of the poor are children, highlighting generational vulnerability.
- Around 740 million (≈64.5%) of the poor live in middle-income countries.
- 887 million poor people are exposed to at least one of four major climate hazards — high heat, drought, floods, air pollution; 309 million face three or four concurrent hazards.
- Common deprivations include lack of clean cooking fuel, housing, sanitation, nutrition, and electricity.
India's MPI Performance
India's multidimensional poverty reduction has been a global success story. India's Global MPI 2025 rank is 66th out of 109 countries, with a national MPI value of 0.069.
The headcount ratio of 16.4% means about 16 of every 100 Indians experience multidimensional poverty, with deprivation intensity at 42%. India lifted 415 million people out of poverty between 2005-06 and 2019-21, and about 135 million between 2015-16 and 2019-21. Deprivation by dimension:
- Standard of living: 39.7%
- Health: 32.2%
- Education: 28.2%
States like Bihar, Jharkhand, Uttar Pradesh, and Madhya Pradesh still record higher MPI values, while Kerala, Tamil Nadu, and Goa perform far better. India's National MPI (NMPI), developed by NITI Aayog, adds two indicators beyond the global set — Maternal Health and Bank Account — to better reflect the national context.
On 1 November 2025, Kerala became the first Indian state officially declared free from extreme poverty. Its Extreme Poverty Eradication Programme (launched 2021) identified 64,006 extremely poor families; by 2025, 59,277 had been uplifted through family-level micro-plans. Kerala's poverty rate of just 0.7% (NITI Aayog, 2021) is the lowest in India.
Related Indices — IHDI, GDI & GNI
- Inequality-adjusted HDI (IHDI): a summary measure that "discounts" each HDI dimension (health, education, income) according to its level of inequality. For India, inequality lowers the HDI by 30.7% — one of the highest losses in the region.
- Gender Development Index (GDI): the ratio of female to male HDI; India's GDI is 0.874.
- Gross National Income (GNI): measures the total value added claimed by a country's residents over a period — essentially the same as Gross National Product (GNP).
Challenges in Tackling Multidimensional Poverty
Despite global progress, multidimensional poverty remains a critical challenge — increasingly intertwined with climate vulnerability.
- Climate & Environmental Risks: 887 million poor live in regions facing at least one major climate hazard, 309 million face multiple — droughts, floods, and extreme heat push millions back into poverty.
- Unequal Access to Resources: rural areas lag in sanitation, drinking water, and energy access; infrastructure development remains incomplete.
- Child Poverty: children are more than half the global multidimensionally poor; malnutrition and low attendance threaten long-term development.
- Data Gaps: many low-income countries lack regular data collection, hampering accurate monitoring.
- Policy Fragmentation: poverty policies often operate in silos, missing the interconnected nature of deprivations.
Way Forward
- Integrated Development: combine poverty reduction with climate-adaptation strategies.
- Education & Skills: the critical tool for breaking poverty cycles.
- Inclusive Growth: equitable access to healthcare, housing, and sanitation.
- Community Participation: local empowerment and decentralised planning.
- Data-Driven Decisions: expand data collection and sharing across regions.
- International Cooperation: richer nations and global institutions must provide financial and technical assistance.
Keep the latest HDR 2025 trio handy: HDI 130/193 (0.685), GII 102/193 (0.403), Global MPI 66/109 (0.069). Remember the architects — Mahbub ul Haq (HDI) and Amartya Sen (capabilities approach) — and that the MPI is a UNDP–OPHI product, while India's NMPI is by NITI Aayog with Maternal Health and Bank Account added.
UPSC Relevance — Mains PYQs
- Mains 2019 (GS1): Despite consistent experience of high growth, India still goes with the lowest indicators of human development. Examine the issues that make balanced and inclusive development elusive.
- Mains 2016 (GS3): Comment on the challenges for inclusive growth which include careless and useless manpower in the Indian context. Suggest measures to be taken for facing these challenges.
Probable Prelims MCQs (Application-Based)
UPSC-standard practice questions on these indicators. Tap to reveal the answer and reasoning.
Q1. With reference to the Human Development Index (HDI), consider the following indicators:
2. Per capita Gross National Income (PPP)
3. Mean years of schooling
4. Infant mortality rate
(b) 1 and 4 only
(c) 2, 3 and 4 only
(d) 1, 2, 3 and 4
Show Answer
Q2. The value of the Multidimensional Poverty Index (MPI) is obtained as the product of:
(b) Headcount ratio and the intensity of deprivation
(c) Intensity of deprivation and the Gini coefficient
(d) Incidence of poverty and per capita income
Show Answer
Q3. Consider the following statements regarding the global Multidimensional Poverty Index (MPI):
2. Its three dimensions — health, education and standard of living — carry equal weight.
3. A household is identified as multidimensionally poor only if it is deprived in at least one-half of the weighted indicators.
(b) 2 and 3 only
(c) 1 and 3 only
(d) 1, 2 and 3
Show Answer
Q4. Which of the following dimensions are used to compute the Gender Inequality Index (GII)?
2. Empowerment
3. Labour market participation
4. Command over economic resources (income)
(b) 1, 3 and 4 only
(c) 2 and 4 only
(d) 1, 2, 3 and 4
Show Answer
Q5. A hypothetical country reports an HDI value of 0.685, a sharp fall in this value to 0.475 once adjusted for inequality, and a steadily rising per capita GNI. Which one of the following inferences is most valid?
(b) Rising income has been accompanied by significant inequality in its distribution
(c) The fall to 0.475 reflects a decline in average life expectancy
(d) The country has no gender-based disparities
Show Answer
Q6. Consider the following pairs:
1. Human Development Index — UNDP
2. Global Multidimensional Poverty Index — UNDP and OPHI
3. National Multidimensional Poverty Index (India) — NITI Aayog
(b) 2 and 3 only
(c) 1 and 3 only
(d) 1, 2 and 3
Show Answer
Frequently Asked Questions
Q1. Why can a country post high GDP growth yet still rank low on the HDI?
GDP measures aggregate output, while HDI measures whether that output reaches people as longer lives, real schooling, and a decent income. If growth is uneven or under-invested in health and education, HDI lags — exactly the paradox the HDR flags for India, which combines fast growth with a "medium" HDI.
Q2. What is the difference between the GII and the GDI?
The Gender Inequality Index (GII) measures the loss in human development from gender gaps in reproductive health, empowerment, and the labour market. The Gender Development Index (GDI) is the ratio of female to male HDI across health, education, and command over economic resources. GII captures inequality; GDI compares achievement levels.
Q3. How does India's National MPI (NMPI) differ from the global MPI?
The global MPI (UNDP–OPHI) uses 10 indicators across three dimensions. India's NMPI, prepared by NITI Aayog, retains these and adds two India-specific indicators — Maternal Health and Bank Account — to better reflect national priorities like financial inclusion and maternal care.
Q4. What does the Inequality-adjusted HDI (IHDI) tell us that the HDI does not?
The IHDI "discounts" each HDI dimension by its level of inequality, showing the human development actually realised once distribution is accounted for. For India, inequality lowers the HDI by 30.7% — meaning nearly a third of potential human development is lost to unequal distribution.
Q5. Why does the Global MPI 2025 link poverty with climate hazards?
The 2025 report ("Overlapping Hardships") shows that deprivation and climate vulnerability increasingly coincide: about 887 million poor people face at least one major climate hazard and 309 million face multiple, so droughts, floods, and extreme heat can push families back into poverty — making integrated poverty-plus-climate policy essential.
Key Takeaways
- Why these indices: GDP measures output; HDI, GII and MPI measure well-being, equity, and deprivation — the human side GDP ignores.
- HDI (HDR 2025): India 130/193, value 0.685, up from 133/0.676 — built on health, knowledge, and standard of living; conceived by Mahbub ul Haq on Amartya Sen's capabilities approach.
- GII: India 102/193 (0.403), improving from 122→108→102, but held back by a 47.8-pp gender gap in labour-force participation.
- MPI (UNDP–OPHI): three dimensions, ten indicators, 33% cut-off; MPI = H × A. India's value 0.069 (rank 66/109), with 415 million lifted out (2005-06 → 2019-21).
- Global MPI 2025 ("Overlapping Hardships") links poverty with climate — 887 million poor face at least one major climate hazard.
- India specifics: NITI Aayog's NMPI adds Maternal Health & Bank Account; Kerala became the first extreme-poverty-free state on 1 Nov 2025.
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