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India New GDP Series Adopts Double Deflation Across 28 Manufacturing Sectors to Sharpen Economic Growth Numbers

By Raju Saha 22/9/2026

India official statistics machinery has taken a major technical step toward aligning national economic accounting with international practices by overhauling how factory production numbers are calculated. The Ministry of Statistics and Programme Implementation published its comprehensive Sources and Methods document, detailing the inner workings of the revised Gross Domestic Product series. The document reveals that the national accounts division implemented the sophisticated double deflation statistical method across 28 of the 30 recognized manufacturing categories, directly tackling one of the longest standing criticisms regarding Indian macroeconomic data accuracy.

To understand why this change matters so much to economists and policymakers, one must look at how value created by factories is measured in real life. When calculating the Gross Value Added by a factory or industry, statisticians take the total value of finished goods sold and subtract the cost of raw materials and energy used to produce them. The resulting figure represents nominal value added. However, prices of raw materials and final goods change constantly due to market fluctuations. To find real value added, which removes price effects to reveal genuine physical output growth, economists must adjust both numbers for inflation.

Under the previous national accounts framework, India used a simpler and less accurate shortcut known as single deflation for almost all manufacturing activities. Double deflation was reserved almost exclusively for agriculture and mining operations. For other manufacturing sectors, statisticians adjusted input and output figures using a single common price yardstick taken from the Wholesale Price Index or Consumer Price Index. The problem with single deflation is that it assumes raw material costs and finished factory selling prices rise and fall at the exact same speed. When global crude oil, metals, or raw chemical prices drop quickly while retail selling prices remain sticky, single deflation can artificially inflate profit margins and make economic growth appear much stronger than it really is.

The adoption of double deflation solves this distortion by deflating input costs and output prices separately using their own dedicated price indexes. Under the new series, which uses 2022-23 as its base year, the ministry has mapped elementary item-level Producer Price Index metrics against individual industry inputs and finished products. Government statistical authorities emphasized that shifting 28 factory categories onto double deflation marks an essential leap forward in capturing genuine physical industrial output, preventing raw material price swings from misleading national planning.

The methodology document explains that only two specific manufacturing segments continue to operate under single extrapolation rather than double deflation. These two sectors are the production, processing, and preservation of food items like meat, fish, fruits, vegetables, oils, and fats, alongside the manufacturing of pharmaceuticals, medicinal chemicals, and botanical formulations. The primary reason for excluding them is their heavy dependence on imported raw ingredients, such as active pharmaceutical ingredients sourced from overseas markets. Because domestic factory price tracking does not capture overseas import price swings directly, mapping foreign inputs to local producer price indexes proved technically challenging, though statistical teams are working to bring them under double deflation soon.

The release of the methodology manual comes seven months after the initial debut of the base year revision in February, representing the fastest turnaround time recorded by the statistics ministry. Historically, complete technical source documents took between two and three years to reach the public domain. Publishing the granular definitions and compilation standards quickly is intended to build international investor trust, giving credit rating agencies, researchers, and global financial organizations clear visibility into how India calculates headline economic expansions.

Alongside the factory adjustments, the new series has introduced significant revisions to the size and structure of the informal economy, tracked under the household sector. The nominal gross value added attributed to households in the base year of 2022-23 was revised downward by rupees 2.9 lakh crore, representing a 2.7 percent decline compared to older series estimates. The shift was led by the construction sector, where the household share fell from 79 percent to 59 percent, suggesting that real estate and infrastructure activities have formalized much faster than previously believed. Conversely, segments like road transport, local repair shops, and small eateries showed higher levels of informality.

Household financial behaviour also revealed striking changes under the updated figures. The nominal value of household savings parked in physical gold and silver ornaments for the 2022-23 base year was revised upward to rupees 1.65 lakh crore, more than double the earlier estimate of rupees 64504 crore. Driven by sharp rallies in precious metal valuations, bullion savings expanded further to rupees 1.72 lakh crore in 2023-24 before jumping to rupees 2.18 lakh crore in 2025-26, illustrating how Indian families consistently rely on physical bullion as a primary household wealth buffer.

While the methodological upgrade has earned praise from technical economists for removing price bias from industrial metrics, the timing of the base changes has prompted healthy debate among independent market analysts. Some observers noted that lowering historical nominal base levels can make recent quarterly growth numbers appear stronger in comparison. Nevertheless, institutional analysts widely agree that bringing 28 major manufacturing industries under modern double deflation provides a far more credible, robust, and transparent mirror of India actual industrial engine.

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