The Government of India has released a revised Gross Domestic Product (GDP) series with the base year shifted to 2022–23, marking a major reform in the country’s national accounting system. The revision was announced on 27 February 2026 by the Ministry of Statistics and Programme Implementation.
The main purpose of this revision is to replace the outdated 2011–12 base year and provide a more accurate, realistic, and up-to-date representation of India’s economy. It also incorporates modern statistical techniques and improved data sources aligned with international standards.
Overview of New GDP Estimates
The revised estimates show India’s GDP at current prices as:
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₹261.18 lakh crore in 2022–23
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₹289.84 lakh crore in 2023–24
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₹318.07 lakh crore in 2024–25
These figures are about 3–4% lower than earlier estimates, indicating that the revision is a recalibration of data rather than a downward correction of economic performance.
Sectoral Composition of GDP
The structure of the Indian economy remains broadly stable under the new series:
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The services sector remains dominant at 52.9%, highlighting India’s transition toward a service-led economy.
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The industrial sector contributes 25.8%, reflecting steady manufacturing and construction activity.
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The agriculture sector accounts for 21.4%, showing its continued importance despite structural transformation.
A key highlight is the strong growth in the manufacturing sector, where real Gross Value Added (GVA) increased by 12.7% in 2023–24 and 9.3% in 2024–25, indicating industrial recovery and expansion.
On the demand side, Private Final Consumption Expenditure (PFCE) remains the largest driver of growth, contributing nearly 56% of GDP, which reflects the importance of domestic consumption in sustaining economic growth.
Key Methodological Improvements
The new GDP series introduces several important methodological refinements to improve accuracy and reliability.
1. Better Allocation of Economic Activity
The series introduces the segregation of multi-activity enterprises, which allows more accurate allocation of output across different sectors. Earlier, the entire output of a firm was assigned to its main activity, which often distorted sectoral contributions.
This change improves sector-wise accuracy of GDP estimation.
2. Improved Coverage of Corporate Sector
The methodology now uses differentiated scaling factors based on firm size, which helps estimate contributions from non-reporting companies more accurately. Additionally, the inclusion of Limited Liability Partnerships (LLPs) ensures wider coverage of the formal business sector.
This leads to a more complete and realistic representation of corporate activity.
3. Improved Measurement of Household Sector
A major improvement is seen in the estimation of the informal and household sector, which plays a significant role in India’s economy.
The new method combines:
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Data from the Annual Survey of Unincorporated Sector Enterprises (ASUSE)
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Employment estimates from the Periodic Labour Force Survey (PLFS)
This replaces older extrapolation-based methods and allows more dynamic and updated measurement of informal sector output.
This significantly improves the accuracy of informal sector contribution, which was earlier underestimated.
4. Adoption of Advanced Statistical Methods
The new series uses double deflation techniques and volume extrapolation methods, which are globally accepted standards for real GDP estimation. These methods help separate price effects from real growth.
Additionally, data from the Household Consumption Expenditure Survey (HCES 2022–23) has been incorporated to improve the measurement of private consumption, especially for essential goods.
hese changes bring India’s GDP estimation closer to international best practices.
Persistent Structural Challenges
Despite improvements, certain challenges remain in the GDP estimation process.
1. State-Level GDP Estimation Issues
One of the major challenges is the allocation of national GDP to states (GSVA estimation). Since company-level data from the Ministry of Corporate Affairs is not geographically detailed, estimates rely on proxy indicators such as:
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Annual Survey of Industries (ASI)
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Goods and Services Tax (GST) data
However, the ASI has a limited sampling frame, covering only a fraction of enterprises. This can lead to inaccurate state-level GDP estimates.
Weak state-level data reduces the precision of regional economic comparisons.
2. Volatility in Household Sector Estimates
The estimates derived from ASUSE show significant year-to-year fluctuations, especially across industries and states. This raises concerns about data stability and reliability.
Although smoothing techniques like a three-year moving average are used, they do not fully resolve the issue. A more effective solution suggested is a rotating panel survey design, similar to the PLFS.
Survey design limitations affect the consistency of informal sector data.
Conclusion
The introduction of the 2022–23 base year GDP series is a major milestone in improving India’s national accounting system. It enhances accuracy, transparency, and global comparability by incorporating better data sources and advanced statistical methods.
However, challenges such as state-level GDP estimation issues and volatility in household sector data highlight the need for further refinement. Strengthening surveys like ASI and ASUSE and integrating administrative datasets more effectively will be crucial for improving future estimates.