Context: Recent policy shifts, such as the implementation of new Labour Codes and the Viksit Bharat-Guarantee for Rozgar and Ajeevika Mission (Gramin) Bill, 2025, have sparked intense debate over rural welfare.
- Concurrently, new analysis of the HCES 2023-24 suggests that consumption inequality remains a significant challenge, contradicting official narratives of a sharp decline.
About Understanding Inequality in India’s Growth Story:
What is Inequality?
- Inequality refers to the disparate distribution of resources—specifically income, wealth, or consumption expenditure—across a population. In the Indian context, it is assessed along various axes, including caste, class, gender, and religion, and is often measured using the Gini index, where a higher value represents greater disparity.
Key Data & Statistics:
- Gini Index Disparity: Recent estimates from the HCES 2023-24 place the consumption Gini index at 0.29, which is higher than the World Bank’s estimate of 0.25.
- The Urban-Rural Gap: Average urban non-food monthly per capita expenditure (MPCE) is approximately 1.5 times higher than the all-India average.
- Extreme Decile Ratios: The mean MPCE of the topmost urban decile is nine times that of the bottom-most rural decile.
- Concentrated Spending: In urban India, the top 10% of the population alone accounts for 27% of total non-food expenditure.
Reasons for Inequality Rise in Indian Growth:
- Urban-Centric Growth: Most growth-inducing activities are concentrated in cities, leaving the rural sector behind.
Example: Urban areas show much higher affluence and higher inequality than rural counterparts due to concentrated non-food spending.
- Persistent Agricultural Distress: While cities boom, the rural agricultural sector continues to struggle, widening the income gap.
Example: Rural MPCE remains significantly lower than the all-India average compared to urban centers.
- Disproportionate Class Gains: Since the 1980s, urban owners, managers, and professionals have gained the most from economic shifts.
Example: Between-class inequality has increased as these groups drive the consumption boom while laborers lag.
- Stagnant Informal Sector: Urban informal workers and agricultural laborers have not seen systemic changes to their economic status over the last decade.
Example: These groups have lagged markedly behind the manager-professional class in per-capita spending.
- Superrich Exclusion in Data: Standard surveys often fail to capture the highest segment of the population, leading to a gross underestimation of true inequality.
Example: The NSS surveys (HCES) rarely capture the consumption or wealth of the superrich segment.
Initiatives Taken So Far:
- Viksit Bharat-GRAMIN Act, 2025: Replaces MGNREGA with a new framework for rural employment and livelihoods.
- Pradhan Mantri Garib Kalyan Yojana (PMGKY): Provides food security and welfare support to a large segment of the population, including some in the top deciles.
- New Labour Codes: Aimed at streamlining labor regulations, though they raise concerns about the welfare of informal workers.
- BPL Ration Card System: Continues to provide subsidized food to those identified as living below the poverty line.
Implications of Inequality on Growth:
- Misleading Policy Foundations: Policies based on the assumption of lower disparity can lead to unintended adverse welfare consequences.
Example: Using a Gini index of 0.25 vs 0.29 may lead to under-funding essential rural support systems.
- Debt-Led Consumption: A large share of the population relies on borrowing to maintain consumption, which is unsustainable for long-term growth.
Example: Informal workers often engage in debt-led spending because their actual income gains remain stagnant.
- Weakened Rural Demand: Persistent rural-urban disparities stifle the growth of a broader domestic market.
Example: Average rural spending is much lower than the all-India average, limiting the reach of the consumption boom.
- Erosion of Social Mobility: Increasing between-class inequality makes it harder for the bottom deciles to move up.
Example: The gap between urban professionals and agricultural laborers has only widened since the 1980s.
- Ineffective Welfare Targeting: Data issues result in welfare benefits reaching the relatively affluent while missing the most vulnerable.
Example: One-fourth of the richest 10% in India still benefit from schemes like PMGKY.
Way Ahead:
- Improve Data Comparability: Address methodological issues in surveys to ensure accurate inequality measurements.
- Focus on Class-Based Disparity: Move beyond inter-personal inequality to analyze gaps between socio-economic groups like caste and class.
- Address the Non-Food Gap: Implement targeted interventions to bridge the massive disparity in non-food monthly per capita expenditure.
- Strengthen Informal Labor Welfare: Ensure the new Labour Codes and GRAMIN Bill provide robust protections for the most vulnerable workers.
- Capture the Superrich: Reform data collection methods to accurately reflect the wealth and consumption of India’s top economic tier.
Conclusion:
India’s growth story is marked by a deepening urban-rural divide and concentrated gains within the professional and managerial classes. While official narratives suggest declining disparity, the high Gini index and persistent agricultural distress indicate that inequality remains a structural barrier. True economic progress will require a shift from debt-led consumption to systemic welfare reforms that address class and sectoral gaps.
