India's GDP credibility crisis: From respected data to political theater

India's statistical apparatus, once a model of rigor that commanded international respect, has become a flashpoint for a deeper crisis of trust. Last week, when the government announced 7.8% GDP growth for the latest quarter—exceeding the forecast of 7%—the response was not celebration but immediate skepticism. Subhash Garg, a former finance secretary who served under Narendra Modi and has since become a vocal critic, went on television to argue that the numbers were engineered. He claimed the government had deliberately revised downward the previous year's figures to create an optical illusion of growth, suggesting the actual expansion was closer to 2.6%. The assertion rippled through op-eds and social media, but it crystallized something larger than a single quarterly dispute: a fundamental question about whether India's economic data can be believed at all.

The erosion of credibility did not happen overnight. Over the past decade, according to economists and former officials, the government has systematically altered the infrastructure that produces India's most important statistics. Methodologies have been changed without clear justification. Critical surveys have been delayed or shelved. Officials who produced inconvenient findings have been removed. In November, the International Monetary Fund assigned India's national accounts data a grade of 'C' on a four-point scale—the second-lowest ranking. The IMF cited outdated methodologies, reliance on an old base year for calculations, unexplained gaps between GDP figures derived from production versus expenditure approaches, and the absence of seasonal adjustments. These are not minor technical quibbles. They are the foundations upon which policy rests.

The most vivid example of this breakdown came in 2019, when a Business Standard journalist revealed that the government had suppressed an official report showing unemployment at a 45-year high of 6.1%. Two expert members of the National Statistical Commission resigned in protest. The government initially denied the report existed, calling it merely a draft. The figures were released only months later, after the damage to institutional credibility was done. R Nagaraj, an economist who taught at the Indira Gandhi Institute of Development Research, has witnessed the manipulation firsthand. He served on a subcommittee in 2014 whose work fed into GDP calculations. When the final published report emerged, he found that one figure had been inflated by 108% from what the committee had actually discussed. He raised a red flag, but the number stayed in the official record.

The consequences of corrupted data are not abstract. Census figures, which should have been updated in 2021, were delayed for the first time since Indian independence. The first phase of the new census only began in April 2026. In the meantime, the government continues to allocate welfare entitlements—including food subsidies—based on demographic data that is now years out of date. Economist Reetika Khera estimates that approximately 100 million Indians who should qualify for food assistance are being excluded because the population figures used to determine eligibility are wrong. At the same time, nearly 40% of graduates under 25 are unemployed, according to research by Azim Premji University. A government think tank reported last month that an estimated 87 million Indians between 15 and 29 are neither working, studying, nor receiving skill training. Young people have taken to the streets in protest, their frustration crystallized by leaked examination papers but rooted in a broader sense that the system has failed them.

Government economists defend the numbers. Shamika Ravi, a member of the Economic Advisory Council to the prime minister, dismissed the criticism as a "noisy and very ill-informed debate" driven by political bias rather than genuine data concerns. She noted that the IMF's 'C' rating for India matches China's rating, and that many large developing economies face similar data challenges. The revisions the government made, she argued, were precisely the kinds of adjustments the IMF itself had recommended. But the sticking point, as former chief statistician Pronab Sen and others have pointed out, is not the methodology itself but the trustworthiness of the underlying data and the independence of those who produce it. When officials are removed for inconvenient findings, when reports are suppressed, when calculations are revised in ways that consistently flatter the government's narrative, the numbers lose their anchor to reality.

The debate has begun to ripple beyond India's borders. In Sri Lanka, where second-quarter GDP figures are expected, the Daily FT newspaper published a pointed warning: "One hopes Sri Lankan policymakers and experts are not watching the theatrics in India with watering mouths and dreaming up smart arguments. Spare us such theatre!" The concern is not merely about India's credibility but about a contagion effect—the idea that if one major economy can reshape its statistics for political purposes, others might follow. What began as a technical dispute about growth rates has become a question about the integrity of institutions themselves, and whether data—the foundation of informed policymaking—can still be trusted to tell the truth.