
IMF Welcomes India’s Modernisation of Macroeconomic Statistical Framework
Why in News?
India statistical framework 2026: The International Monetary Fund (IMF) welcomed India’s efforts to modernise its macroeconomic statistical framework on 10 September 2026. IMF Communications Department Director Julie Kozack said that incorporating the new Index of Industrial Production (IIP) and Producer Price Index (PPI) series should improve the accuracy of India’s GDP estimates. India’s latest GDP series uses 2022–23 as the base year and incorporates updated data sources and methods.
India’s New GDP Series
The Ministry of Statistics and Programme Implementation (MoSPI) introduced the new GDP series in February 2026. The base year was changed to 2022–23 to better reflect the current structure of the Indian economy. MoSPI selected 2022–23 as a normal economic year and used updated survey and administrative data. The new framework also incorporates:
- New IIP series with 2022–23 as the base year
- New PPI series
- Updated administrative databases
- Improved sectoral data
- Double deflation for manufacturing
Learn More about Double Deflation Here
Under double deflation, output and intermediate consumption are separately adjusted for price changes. This provides a more accurate estimate of real manufacturing value added.
What are IIP and PPI?
Index of Industrial Production
The Index of Industrial Production (IIP) measures changes in the volume of industrial production over time. It covers major sectors such as:
- Mining
- Manufacturing
- Electricity
The IIP is an important high-frequency indicator of industrial activity.
Producer Price Index
The Producer Price Index (PPI) measures changes in prices received by producers for their output. PPI provides price information at the producer level and can improve the measurement of real economic activity when used as a deflator.
India’s Q1 FY2026–27 GDP
MoSPI estimated India’s real GDP at ₹81.36 lakh crore in the April–June quarter of FY2026–27. This represented a 7.8% year-on-year growth, compared with ₹75.46 lakh crore in Q1 FY2025–26. Nominal GDP reached ₹88.27 lakh crore, recording 10.3% growth. Real GVA grew by 8.2%, while nominal GVA increased by 11.5%. The IMF said the 7.8% growth outcome was above its staff expectations and highlighted the resilience of the Indian economy.
IMF on India’s Statistical Reforms
The IMF welcomed the incorporation of the new IIP and PPI series. Kozack also encouraged Indian authorities to continue strengthening the country’s statistical framework and data quality. The IMF’s comments are significant because reliable macroeconomic statistics are essential for economic policymaking, fiscal planning, monetary policy, investment decisions, and international comparisons.
Importance of the New Framework
The modernised GDP framework can improve India’s economic measurement in several ways:
- Better price measurement: PPI provides updated producer-level price information.
- Improved industrial data: The new IIP reflects the changing industrial structure.
- Better real GDP estimates: Double deflation improves the measurement of manufacturing value added.
- Updated economic structure: The 2022–23 base year better represents the present economy.
- Greater data integration: Administrative databases and newer data sources strengthen national accounts.
MoSPI has clarified that incorporating the new IIP and PPI does not constitute a mid-series change in the GDP methodology. The GDP base year remains 2022–23 and the underlying National Accounts framework remains unchanged.
India statistical framework 2026: Important Facts for Competitive Exams
| Particular | Details |
|---|---|
| Institution commenting | International Monetary Fund |
| IMF official | Julie Kozack |
| New GDP base year | 2022–23 |
| Statistical agency | MoSPI |
| New industrial indicator | IIP |
| New price indicator | PPI |
| Q1 FY2026–27 real GDP | ₹81.36 lakh crore |
| Q1 real GDP growth | 7.8% |
| Q1 nominal GDP | ₹88.27 lakh crore |
| Real GVA growth | 8.2% |
| Key methodological improvement | Double deflation in manufacturing |