What can't GDP see?

India's GDP for 2025-26 came to ₹357.1 lakh crore. That is the value of everything the country produced in a year, every haircut in Madurai, every tonne of steel in Jamshedpur, every flat you rent to yourself. Real growth was 7.4% last year. The number is a tally of production, built on a rule called the production boundary: an activity counts if it produces something bought and sold in a market, or if it produces a good even for your own use. Rice a farmer grows and eats is counted; a meal cooked and sold in a restaurant counts. The same meal cooked at home does not.

Where GDP draws its production boundary is a convention, not a law of nature. Feminist economist Marilyn Waring showed that this leaves most of women's unpaid care and domestic work invisible in the headline number. The UN's System of Environmental-Economic Accounting (SEEA) lets countries build satellite accounts that value natural resources and their depletion, and economists have long proposed a "green GDP" that nets out environmental damage. No major economy has adopted one as its headline number.

What sits outside that boundary? Four big things, each a blind spot that makes GDP a dangerous compass when you read it alone. It cannot tell you who got the money the production created. It ignores the unpaid work that holds society together, mostly done by women. It counts the income from cutting a forest but does not subtract the loss of the forest itself. And in a country like India, where most work is informal and unregistered, it struggles to even see a large part of the economy it claims to measure.

Source: MoSPI National Accounts

Split India's GDP by headcount and you get ₹2.5 lakh per person last year. That is an arithmetic average, not what any real person took home. GDP is silent on distribution: it can rise handsomely while the gains pool at the top. A country can post record growth while its median household sees none of it. Per capita GDP tells you the size of the cake divided by the number of plates; it does not tell you whether one plate got half the cake and the rest got crumbs.

This is not a niche worry for India. A growth surge concentrated in a handful of cities and a few high-skill sectors can lift the headline while leaving whole districts behind. The spending side of the national accounts hints at the pattern: private consumption, the purchases that ordinary households make, stood at 61.5% of GDP in 2025-26, down from nearly 90% in the 1950s. A falling consumption share does not automatically mean inequality is widening, but it does mean that as the economy grows, a smaller slice is reaching people's pockets directly. The rest goes into investment, government spending, or the net outflow of primary incomes abroad. GDP cannot tell you how that slice was shared.

The woman who gets up at five, cooks three meals, gets the children ready for school, looks after an ageing parent, and runs the house all day has produced nothing by GDP's rule. Her work falls outside the production boundary because no money changes hands. This is the invisible economy of unpaid care and domestic work. Marilyn Waring laid out the consequences in If Women Counted (1988): when a country's main scorecard erases the labour that reproduces society every day, it distorts what we value and what we choose to measure.

In India, where women do a large share of unpaid domestic and care work, that silence is especially loud. A time-use survey might record that women spend on average five hours a day on unpaid domestic work against less than one hour for men. But those hours never become a rupee figure that enters GDP. The irony is sharp: if the same woman were hired as a cook and nanny in someone else's house, her work would suddenly count. The production boundary draws a line straight through the household, separating identical work into visible and invisible. The consequence is not only statistical; it shapes policy, because what is not counted rarely gets budgeted for.

When a mine is exhausted, the ore it yielded counts as output. When a river is poisoned by effluents, the factory's products add to GDP. The depletion and the damage are not subtracted. GDP treats the planet as a free input and an infinite sink. The UN's System of Environmental-Economic Accounting (SEEA) provides a framework to track natural capital and its degradation, and economists have proposed a "green GDP" that nets out the costs. But no major economy has adopted one as its headline number. Only a handful of countries, among them China and Mexico, have experimental accounts that rarely make headlines.

The result is a number that can reward destruction. Cutting a forest and selling the timber raises GDP. The loss of the forest's flood control, its carbon storage, and its biodiversity never appears as a deduction. India's environmental accounts are still nascent. The Ministry of Statistics publishes physical supply-and-use tables for a few resources, but a comprehensive monetary green GDP remains a research project. Until it moves from the library to the front page, the headline GDP will keep cheering on growth that borrows from the future.

A large share of India's economy is informal and unregistered: the street vendor, the unwritten-contract carpenter, the family farm, the domestic worker paid in cash. The national accounts do not count their output directly; they estimate it. MoSPI's method often uses formal-sector or corporate data as a proxy for the informal segment, assuming the two move in tandem.

That assumption is fragile. When a shock hits the informal economy harder than the formal one, as during demonetisation or the 2020 lockdown, the proxy can break. GDP may show a smaller dip than people on the ground feel, because the part of the economy that suffered most was never being measured directly. The same fragility shows up in revisions: as better data trickles in years later, GDP figures get rewritten, sometimes sharply. In a country where the informal sector accounts for a large share of output and employment, the headline number is partly a best guess. It is not a lie, but it is far from a photograph.

Because no alternative has matched its simplicity and comparability. GDP is a single number produced on a quarterly schedule for almost every country, using a standardised methodology. It allows you to compare India today with India a decade ago, and India with China, Japan, or Germany. The UN's Human Development Index (HDI) adds life expectancy and years of schooling to income, capturing wellbeing that output alone misses. India ranks far lower on the HDI than it does by the sheer size of its GDP, a gap that stands for everything the production number leaves out about health and education. But HDI is published annually, not quarterly, and it requires data on health and education that many countries collect infrequently. It cannot drive the month-to-month decisions of a central bank.

Green GDP accounts require valuing natural resources in monetary terms, a task fraught with assumptions and political pushback. Feminist economists have proposed satellite accounts for unpaid household work, but these are yet to become a regular, comparable series. For all its blind spots, GDP remains the most timely, most standardised, and most widely understood summary statistic of an economy's scale and pace. The danger is not using GDP; it is using GDP alone.

An honest picture of how people are doing needs more than one number. Here is a short reading list.

• Per capita GDP and its median cousin. Per capita (₹2.5 lakh) tells you output per person. Better still is median income or consumption, though India's official median is not released regularly. The Periodic Labour Force Survey and the Consumption Expenditure Survey offer glimpses.
• An inequality measure. The Gini coefficient or the Palma ratio from the latest consumption survey can show whether growth is shared or skewed.
• The Human Development Index. HDI adds health and education to income, and India's rank (far below its GDP rank) is a quick corrective to triumphalism.
• Environmental data. Air quality indices, water-stress maps, and forest-cover data from the India State of Forest Report do the job that green GDP was meant to do.
• Employment and wages. PLFS data on the labour force participation rate and real wage growth tell you whether output growth is translating into jobs and pay.

GDP is a starting point, never the verdict. The four blind spots are not secrets; they are omissions built into the definition. Knowing them turns a monolithic number into a set of questions: Who got the money? Who did the work nobody paid for? What was used up or poisoned to produce this output? Who was never counted at all?