Poverty & Income Inequality

Poverty & Income Inequality

Concept Explanation

Let me give you the clearest explanation of this topic, because it’s one of those areas where exam candidates get confused between different poverty lines, different measurement methods, and what Gini Coefficient actually means.

Poverty measurement in India — the committees that matter:

India doesn’t have a single, universally accepted poverty line. It has competing methodologies, and for the RBI Grade B exam, you need to know the two that matter most: the Suresh Tendulkar Committee and the Rangarajan Committee.

The Suresh Tendulkar Committee was set up in 2005 by the UPA government and submitted its report in 2011. It fundamentally changed how poverty was measured. Before Tendulkar, poverty was measured purely on caloric intake — the assumption was that if you got enough calories (2,400 kcal in rural areas, 2,100 in urban), you were not poor. Tendulkar said that’s too narrow: poverty includes spending on education, health, clothing, and transport — not just food. Under Tendulkar, the poverty line was set at monthly per capita consumption expenditure of ₹816 in rural areas and ₹1,000 in urban areas (at 2011-12 prices). Based on this, about 22% of India’s population was poor in 2011-12 — roughly 270 million people.

The Rangarajan Committee was set up in 2012 by the UPA government (ironically, before the Tendulkar lines were fully implemented) and submitted its report in 2014. It went back to a more comprehensive calorie-based approach with much higher thresholds: Rural poverty line at ₹1,407/month and Urban at ₹3,719/month (at 2011-12 prices). This would have placed the poverty ratio at about 30% — much higher than Tendulkar. The Rangarajan committee was never officially adopted as the basis for government welfare schemes, but its numbers are used academically and in policy debates.

The Multidimensional Poverty Index (MPI) — the headline number:

In 2021, NITI Aayog adopted the UN Development Programme’s Multidimensional Poverty Index (MPI) for India. This is not just about income — it measures poverty across three dimensions (health, education, and standard of living) with 12 indicators: nutrition, child mortality, educational attainment, school attendance, years of schooling, cooking fuel, sanitation, drinking water, electricity, housing, assets, and bank accounts.

The MPI headcount ratio — the proportion of people who are multidimensionally poor — fell from 29% in 2013-14 to 11.3% in 2023-24. This means approximately 415 million people exited multidimensional poverty in a decade. This is the most impressive poverty reduction in human history in absolute numbers. It happened due to a combination of direct benefit transfers (PM-KISAN, Ujjwala gas connections, Jal Jeevan Mission), infrastructure build-up, and economic growth.

Gini Coefficient and Lorenz Curve — measuring inequality:

Gini Coefficient is a number between 0 and 1 (or 0 and 100%) that measures income inequality in a society. 0 means perfect equality — everyone earns exactly the same. 1 (or 100%) means perfect inequality — one person earns everything, everyone else earns nothing.

India’s Gini Coefficient has been rising. In the early 1990s, it was around 0.30-0.32. Today, it stands at approximately 0.35-0.36 for consumption-based Gini and is higher (around 0.50+) for income-based measures. The top 10% of India’s population holds approximately 39% of national income, while the bottom 50% holds about 6-7%. This rising inequality is the dark side of India’s growth story.

The Lorenz Curve is the visual representation of this. Draw a 45-degree diagonal line from (0,0) to (1,1) — this is the line of perfect equality. Now draw the actual income distribution curve below it. The further the Lorenz Curve bows from the diagonal, the greater the inequality. The Gini Coefficient is the ratio of the area between the Lorenz Curve and the diagonal to the total area below the diagonal (which is 0.5). If the Lorenz Curve exactly follows the diagonal, Gini = 0. If the Lorenz Curve follows the x-axis until the end and then shoots up vertically (L-shape), Gini = 1 (perfect inequality).

Key Terms & Definitions

Term	Definition
Poverty Line	Monthly consumption expenditure below which a person is considered poor; differs by committee and by rural/urban designation
Suresh Tendulkar Committee (2011)	Set poverty line at ₹816/month (rural) and ₹1,000/month (urban) at 2011-12 prices using mixed methodology (calorie + non-food expenditure)
Rangarajan Committee (2014)	Set higher poverty lines at ₹1,407/month (rural) and ₹3,719/month (urban); not officially adopted
Gini Coefficient	A measure of income inequality ranging from 0 (perfect equality) to 1 (perfect inequality); India ~0.35-0.36 (consumption-based)
Lorenz Curve	Graphical depiction of income distribution — actual curve vs. 45-degree line of perfect equality
Multidimensional Poverty Index (MPI)	UNDP-developed measure covering health, education, and living standards across 12 indicators; adopted by NITI Aayog for India
MPI Headcount Ratio	Proportion of population identified as multidimensionally poor; India: 29% (2013-14) to 11.3% (2023-24)
Direct Benefit Transfer (DBT)	Direct cash transfers to beneficiaries’ bank accounts — PM-KISAN (farmers), MGNREGA (rural employment), PM-SYM (pension)
Inclusive Growth	Economic growth that reduces poverty and inequality — access to opportunities broadly shared across population

Real-World Example (RBI Context)

In 2020, when COVID-19 lockdowns destroyed informal sector incomes, the government used the JAM trinity (Jan Dhan + Aadhaar + Mobile) to transfer ₹1.7 lakh crore in relief directly to bank accounts of 800 million people within 3 weeks — PM-KISAN transferred ₹5,000 each to 87 million farmers, MGNREGA wages were credited to accounts, and free food grain was distributed. This would have been impossible without the financial inclusion infrastructure built over the preceding decade. Jan Dhan accounts alone — over 500 million accounts opened since 2014 — meant that 99.9% of Indian households now have at least one bank account. This is how poverty alleviation reaches people — not through bank loans, but through direct transfers enabled by financial inclusion.

Exam Pattern / How It Appears

• Facts MCQs: Tendulkar vs Rangarajan poverty lines (which is higher? Rangarajan), MPI headcount reduction figures, India’s Gini range
• Numerical questions: Gini Coefficient calculation from Lorenz Curve data, or calculating percentage of population below poverty line
• Conceptual questions: Why did India adopt the MPI? What are its advantages over income-based poverty measurement?
• Case-based: COVID-19 relief transfers via JAM trinity — linking financial inclusion to poverty reduction

Step-by-Step Example

Q: In a village of 1,000 people, the top 10% earn 50% of all income, and the bottom 50% earn 5% of all income. Draw a rough Lorenz Curve and explain what this tells us about inequality.

Answer: A Lorenz Curve below the diagonal confirms inequality. The top 10% earning 50% while the bottom 50% earn only 5% shows extreme concentration of income. In perfect equality, the top 10% would earn 10% and bottom 50% would earn 50%. The shaded area between the diagonal and this Lorenz Curve would be large, giving a high Gini — probably in the 0.4-0.5 range. This means significant income disparity within the village.

Q: The Tendulkar Committee poverty line was ₹816/month per capita in rural areas. A family of 5 below this line has a monthly consumption expenditure of ₹4,000. Is this family poor under Tendulkar definition? Answer: Per capita expenditure = ₹4,000 / 5 = ₹800 per person per month. This is below ₹816 — so YES, this family is classified as poor under Tendulkar methodology.