Why the Gini Index is wrong about India
Why in the News?
The Gini Index recently ranked India among the most equal societies globally, assigning it a score of 25.5, which falls under the ‘moderately low’ inequality category.
However, this data is in stark contrast to India’s lived reality, where wealth, gender, digital, educational, and social inequalities are deeply entrenched.
The article critiques this statistical paradox, emphasising the flaws in the Gini methodology and highlighting persistent and emerging forms of inequality in India.
Background
- The Gini Index measures income inequality on a scale from 0 (perfect equality) to 100 (perfect inequality).
- A lower Gini score typically indicates more equal income distribution.
- India’s Gini score of 25.5, as per some recent datasets, suggests low inequality.
- However, this appears misleading when juxtaposed with ground realities like urban-rural gaps, digital access issues, and skewed wealth distribution.
- The contradiction raises concerns about the data sources, informality of India’s economy, and methodological limitations in measuring inequality in developing nations.
Feature: Key Forms of Inequality in India
Wealth Inequality
- A stark disparity exists between the ultra-rich and the working poor.
- For instance, a ₹30 lakh luxury car may be driven by a person earning ₹3 lakh per annum.
- As per the study “Income and Wealth Inequality in India, 1922–2023: The Rise of the Billionaire Raj”,
- The top 1% of the population earned 22.6% of national income in 2022–23.
- Data captures wealth from only <10% of adults due to informality and tax thresholds.
Gender Inequality
- Female workforce participation stands at 35.9%.
- In leadership roles, only 12.7% are women (as of 2024).
- In startups, women-founded ventures are just 7.5% of all.
- Social norms restrict access to resources, education, and inheritance for girls.
Digital Inequality
- Only 52.7% of schools have functional computers; 53.9% have Internet access.
- Broadband access in households is just 41.8%, affecting virtual learning and e-governance participation.
- The digital divide restricts access to online education, jobs, and banking.
Educational Inequality
- Students without digital tools or Internet access fall behind, lacking key 21st-century skills.
- Pollution-related school closures push education online, benefiting only digitally connected students.
- Rural schools and low-income families are disproportionately affected.
Gendered Digital Divide
- Only 25% of women in rural India have Internet access, compared to 49% of men.
- Women’s limited digital access curbs financial autonomy and career prospects, deepening gender and digital divides.
Challenge
Flawed Measurement Tools
- Gini Index fails to account for informal economy, non-monetary inequalities, and wealth concentration in developing countries.
- India’s large untaxed, undocumented sector means many inequalities go unrecorded.
Underreporting and Data Gaps
- Only a small segment of India pays income tax or declares wealth, skewing inequality data.
- Household surveys often understate the top incomes and miss urban poverty.
Intersecting Inequalities
- One form of inequality aggravates others: e.g., digital inequality impacts educational and gender outcomes.
- Inequalities are cumulative and intersectional, not siloed.
Policy Blind Spots
- Over-reliance on aggregated macro data like the Gini score may lead to policy complacency.
- Marginalised groups remain invisible in high-level datasets but suffer disproportionately in real life.
Way Forward
Improve Data Collection & Measurement
- Adopt multidimensional indices (e.g., MPI – Multidimensional Poverty Index).
- Encourage the use of wealth surveys and consumption-based metrics rather than only income-based ones.
Formalise the Informal Economy
- Expand formal employment, universal social security, and minimum wage enforcement.
- Better tracking and inclusion of informal sector income will provide more accurate inequality metrics.
Close the Gender and Digital Divide
- Invest in women’s education, tech-skilling, and rural broadband infrastructure.
- Promote gender-responsive budgeting and digital literacy programs targeting women and girls.
Focus on Quality Education
- Improve infrastructure and digital access in government schools.
- Ensure hybrid education is inclusive and accessible to low-income households.
Redistributive Policies
- Strengthen progressive taxation and close loopholes benefiting the ultra-rich.
Promote inclusive entrepreneurship through targeted support for women and marginalised communities.
Policy Accountability and Targeting
- Shift focus from only macro indicators to lived experiences.
- Design policies with data disaggregation based on gender, caste, geography, and income levels.
Conclusion
India may appear as an egalitarian society on paper due to flawed statistical tools like the Gini Index, but in practice, it remains deeply unequal across multiple dimensions. Recognising this contradiction is the first step to meaningful reform. Unless real-life disparities are accounted for and addressed through equity-based policymaking, claims of equality will remain statistical illusions rather than social truths.
MAINS PRACTICE QUESTION
Question: India is statistically one of the most equal societies, yet visibly one of the most unequal. Critically examine the limitations of the Gini Index in capturing India’s multidimensional inequalities. Suggest reforms to make inequality measurement and policy more inclusive and grounded in reality.
