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India updates GDP methodology with new base year and price indices

India’s Ministry of Statistics and Programme Implementation has defended its recently released GDP estimates, clarifying that revisions reflect updated data and methodologies rather than an intentional boost to growth figures. The new series, with 2022-23 as the base year, incorporates a Producer Price Index (PPI), Banking Services Price Index, and additional administrative data. Growth for the first quarter of fiscal 2026-27 was reported at 7.8% in real terms.

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Published Updated 4 min read
India updates GDP methodology with new base year and price indices

KEY HIGHLIGHTS

  • The Indian government released updated GDP estimates with 2022-23 as the new base year, incorporating a Producer Price Index (PPI), Banking Services Price Index, and additional administrative data.
  • Real GDP growth for Q1 of fiscal 2026-27 was reported at 7.8% under the revised series.
  • The statistics ministry addressed concerns about negative implicit price deflators in manufacturing, attributing them to the double-deflation method used for calculating real GVA.
  • Manufacturing real GVA grew 9.2% in Q1, while nominal growth was 7.7%, resulting in an implicit GVA deflator of -1.5%.
  • Agriculture GVA estimation now uses production data at constant prices, with current-price estimates derived using the PPI, which rose about 5% in the quarter.

Revised GDP estimates and methodology

The Indian government has released an updated series of GDP estimates with 2022-23 as the new base year. According to YourStory, the revision incorporates a Producer Price Index (PPI), a Banking Services Price Index, and additional administrative data to refine economic measurements.

The statistics ministry stated that the changes aim to improve accuracy and reflect evolving economic structures, rather than artificially inflate growth figures. The update follows criticism and queries about negative implicit price deflators in manufacturing and discrepancies between production- and expenditure-side estimates.

Manufacturing GVA and the double-deflation method

The ministry addressed concerns about a negative implicit Gross Value Added (GVA) deflator for manufacturing in the first quarter of fiscal 2026-27. This outcome, it explained, results from the adoption of a double-deflation method, where output and intermediate consumption are adjusted separately for price changes before calculating real GVA.

YourStory reports that manufacturing real GVA grew 9.2% in the quarter, while nominal GVA grew 7.7%, leading to an implicit deflator of -1.5%. The ministry attributed this to sectors like textiles, basic metals, and rubber and plastic products, where input prices rose faster than output prices. It also noted that such negative deflators can occur internationally during periods of raw material price shocks.

Agriculture GVA and producer price changes

Unlike manufacturing, agricultural GVA is first estimated at constant prices using production data. Current-price estimates are then derived using the PPI for agriculture, forestry, and fishing. According to the ministry, the PPI for these sectors rose approximately 5% in the quarter, resulting in an implied inflation rate of 3.9%.

This method contrasts with the previous approach and aims to provide a clearer picture of price movements in the sector.

Clarifications on growth and data integrity

The ministry rejected claims that the current-price GDP estimate for Q1 2025-26 was deliberately lowered to make recent growth appear stronger. It emphasized that revisions are part of routine updates to incorporate new data sources and improve measurement accuracy.

The updated GDP series also addresses statistical discrepancies between production- and expenditure-side estimates, which had raised questions about data reliability. The ministry stated that such discrepancies are common in dynamic economies and are refined over time.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

The revision of India’s GDP methodology introduces significant changes in how sectoral growth, particularly in manufacturing and agriculture, is measured. For founders and operators, this means that historical growth comparisons may no longer be directly applicable, and sector-specific strategies may need adjustment. The double-deflation method for manufacturing GVA, for instance, could lead to discrepancies between nominal and real growth, which businesses must account for when assessing performance or planning expansions. Similarly, the use of PPI for agriculture shifts how inflation in the sector is interpreted, which could impact pricing strategies and input cost management. Investors, too, should reassess their models, as the new base year and methodological changes may alter perceived trends and valuations. While the government insists these updates are not designed to inflate growth, the shift in methodology alone is enough to warrant a fresh look at economic assumptions.

Key takeaways

  • Founders and operators should note the revised GDP methodology, as it may impact sectoral performance assessments, particularly in manufacturing and agriculture.
  • The introduction of double-deflation for manufacturing GVA and PPI for agriculture could alter how inflation and real growth are interpreted in these sectors.
  • The divergence between nominal and real growth highlights the importance of understanding price dynamics when evaluating business performance and market trends.
  • Investors may need to reassess historical growth comparisons, as revisions to the base year and methodology could change perceived trends.

Sources

  1. yourstory.com
    Govt defends new GDP estimates, says revisions reflect data upgrades, not higher growth by design

This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.

About the author

Editor, Lazyfounder

Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.

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