MarketExpress

Counting Consumption, Missing Welfare

Rising consumption is increasingly a reflection of rising private costs, not rising well-being—making aggregates a fragile guide to lived welfare.

India’s latest consumption numbers tell a comforting story. Household spending is rising, rural–urban gaps are narrowing, and inequality appears to be falling. These figures are increasingly used to signal that growth is finally translating into broad-based well-being. It is an attractive narrative: after years of anxiety, the economy seems to be delivering. Yet beneath this optimism lies a quieter, more troubling possibility. Consumption is easier to count than welfare is to feel.

The problem is not with the data. India’s statistical systems have improved markedly, and the recent release of household consumption estimates is a welcome step toward transparency. The danger lies in interpretation. We are beginning to treat spending as a proxy for security, and rising averages as proof of social comfort. But in an economy where essential services are increasingly financed by households themselves, higher consumption can just as easily signal rising costs as rising prosperity.

To see this, one must look not only at how much households spend, but what they spend on and why. Over the past decade, the composition of consumption has shifted sharply. Spending on non-food items—medical care, transport, education, communication, and a range of services—has grown much faster than food expenditure. This is often read as a sign of structural transformation: as incomes rise, people diversify their consumption. But for millions of families, this shift reflects not choice, but necessity.

Healthcare offers the clearest example. A household that spends more on medical treatment is not necessarily healthier; it may simply be paying to cope with illness in the absence of reliable public care. Similarly, rising education spending often reflects the need to supplement overcrowded or uneven public provision with private coaching, tuition, or transport. What shows up in consumption data as “higher spending” often represents the price of managing risk in an uncertain environment.

This distinction matters because consumption is increasingly used to infer welfare. Rising per capita expenditure is taken as evidence that households are better off; declining measured inequality is read as proof that growth is becoming inclusive. But these conclusions rest on a fragile assumption—that spending accurately captures well-being. In reality, households often spend more precisely because they feel insecure: because public services are unreliable, because future risks loom large, or because essential needs must be privately purchased.

Recent improvements in survey design make this problem more visible. Household surveys now include the imputed value of goods received free of cost through government schemes, such as foodgrains or selected durables. This improves statistical completeness, but it also blurs the line between spending and support. Some forms of welfare are monetised, others are not. Health and education services, for example, are difficult to value and often excluded, even though they dominate household anxiety. The result is a partial monetisation of welfare: consumption rises on paper even when households’ command over cash, choice, and security remains constrained.

At the macro level, national accounts go further. They assign full economic value to health, education, housing, and institutional services, regardless of quality or access. This is essential for measuring output, but risky for judging well-being. When such aggregates are used to assess living standards, they can overstate welfare, particularly for poorer households who rely on overstretched public systems or must supplement them with private spending. Accounting values, however precise, do not capture lived experience.

There is also a distributional blind spot. Consumption surveys tend to under-represent the very rich and under-capture financialised spending—subscriptions, digital services, insurance, and asset accumulation. At the top, visible consumption may grow slowly even as wealth expands rapidly. At the bottom, imputed transfers inflate consumption without increasing liquidity. The result is a compression of measured inequality even when economic distance remains wide. Numbers converge; lives do not.

These measurement choices are not merely technical. They shape policy narratives. Consumption aggregates are now used to justify claims of declining poverty, reduced need for universal entitlements, and tighter targeting of welfare schemes. When macro consumption growth becomes the lens through which social progress is judged, the burden of proof quietly shifts onto households: those who still struggle must explain why growth has not reached them.
This is a subtle but important shift. Welfare becomes something that must be inferred from spending rather than ensured through provision. The state’s role moves from guaranteeing security to counting outcomes. In such a framework, rising costs borne by households can be mistaken for rising comfort, and economic anxiety can be misread as economic success.

India’s economy today is services-driven, digitally mediated, and increasingly privately financed. Growth is real, but so are risks. A family that spends more on transport is not necessarily more mobile; it may simply be travelling farther to work. A household that spends more on education is not necessarily more confident; it may be hedging against an uncertain future. In such an economy, consumption is a noisy signal of welfare. It tells us what is paid, not what is gained.

This does not mean consumption data are useless—far from it. They are indispensable for understanding economic change. But they must be read with restraint and humility. Policy must distinguish between spending that reflects prosperity and spending that reflects necessity. Without this distinction, we risk mistaking rising costs for rising well-being, and adaptation for advancement.

A more careful reading of consumption would ask different questions. Are households spending more because they have more choice, or because they have fewer alternatives? Are rising averages masking rising insecurity? Are falling inequality numbers hiding new forms of vulnerability? These questions cannot be answered by aggregates alone; they require attention to institutions, services, and lived experience.

Welfare is about security, dignity, and the freedom to choose—not merely the ability to spend. Numbers can help us see trends, but they cannot tell us what it feels like to live through them. If policy is to remain grounded in reality, it must remember a simple truth that economics often forgets: what can be counted is not always what counts.