India’s New CPI–GDP Series Resets the Lens on Growth and Inflation

For years, India’s GDP and inflation numbers often struggled to pass the simplest credibility test: whether they matched the lived economy. The 2012 GDP series relied on questionable deflators and thin data for the informal sector, often extrapolating activity from the formal economy.

The result was a disconnect. Reported growth looked robust even as bank credit, corporate sales, exports, savings and investment rates, and industrial output told a far weaker story.

Inflation measurement had its own distortions. The CPI 2011-12 series placed an outsized weight on food, amplifying volatility and failing to reflect the steady shift of Indian consumption towards services and digital goods. The consequences were not merely statistical.

When growth is overstated and inflation is misread, policy misfires. Apparent output gaps can mislead policymakers into treating inflation as demand-driven, triggering unnecessarily tight monetary and fiscal responses. Expectations become distorted and policy targets harder to meet.

Against this backdrop, the introduction of the CPI 2024 and GDP 2022-23 series is not just a statistical update. It is a reset of India’s macroeconomic lens.

CPI Recast
The CPI 2024 series introduces a new base year, revised weights and greater data granularity. It adopts the COICOP-2018 classification, grouping goods and services by household usage, and incorporates newer price sources, including e-commerce platforms, air and rail fares, streaming services, mobile plans and digital products. Crucially, item weights are updated using the 2023-24 Household Consumption Expenditure Survey.

The changes reflect a clear structural shift in consumption. The weight of food and beverages falls sharply from 45.86% in the 2012 series to 36.75%. Services, housing and digital goods gain prominence.

This matters because food prices are highly volatile and sensitive to supply shocks such as the monsoon. Lower food weights should reduce headline CPI volatility. Services inflation, which is more demand-driven and typically steadier, will now carry greater influence.

As a result, headline inflation should increasingly mirror underlying demand conditions rather than transient supply disruptions. For the RBI, this offers greater clarity. Temporary food spikes will exert less pressure on policy rates, while the inclusion of high-frequency spending categories such as digital services improves the tracking of demand. One hopes that this helps RBI to nowcast and forecast output and inflation using high frequency indicators and anchor inflation expectations better.

GDP Reset
The GDP 2022-23 series introduces methodological upgrades in both expenditure and production estimates. On the expenditure side, private final consumption expenditure now follows the COICOP-2018 classification instead of the older COICOP-1999 framework. Estimates draw on HCES data and integrate multiple survey databases including PLFS, ASI, ASUSE and E-Vahan, capturing shifts towards digital consumption, e-commerce and IoT-related services.

PFCE components are now deflated using item-level CPIs rather than broader group indices, improving precision. However, these revisions reduce PFCE estimates by about 9.7%.

Government final consumption expenditure also sees methodological refinement. Compensation of employees is now deflated using CPI-IW rather than CPI-General, producing increases of 4.8% in 2022-23 and 2.8% in 2024-25.

Gross fixed capital formation estimation improves through a clearer institutional-sector breakdown — general government, departmental enterprises, non-departmental enterprises, private corporations and households — supported by ASUSE and ASI data. These revisions raise GFCF marginally by around 1–2%.

Production-side estimates also become more granular. Value added within multi-activity enterprises is now disaggregated instead of being assigned to a single principal activity. MCA-21 MGT-7/7A filings help allocate turnover across activities, with multipliers applied at the activity level.

These methodological shifts produce notable sectoral revisions. Primary sector GVA rises due to improved measurement of household and unorganised activities using ASUSE and PLFS data.

Secondary sector GVA declines by over 2%, as GST and MCA-21 corporate filings provide a more accurate estimate of manufacturing output, correcting earlier overestimation. Double deflation further reduces net value added.

The sharpest revision occurs in the tertiary sector. GVA falls by more than 7.5%, particularly in trade, hospitality, transport and communications, where earlier proxy indicators such as sales tax collections and commodity flows are replaced by GST-based enterprise data and trade-margin measures.

Survey-based estimates also temper previously inflated informal-sector activity.

Some service segments move the other way. Financial services, real estate, ownership of dwellings and professional services record increases of 7–10% thanks to better corporate data coverage. Even so, overall tertiary GVA declines by more than 3.6%.

Combined, these revisions lower estimated GDP by 2.9% in 2022-23 and by 3.8% in both 2023-24 and 2024-25. Nominal GDP is roughly 3–4% smaller than in the earlier series.

This mechanical adjustment raises key macro ratios — including debt-to-GDP and fiscal deficit-to-GDP — even if borrowing levels remain unchanged. Sustaining fiscal consolidation will therefore require stronger nominal growth, which may prove challenging as double-deflation methods tend to produce lower value-added estimates.

Sectoral growth patterns also shift. Primary sector GVA rises by 4.5% in 2023-24 though growth edges down slightly. Mining and quarrying show nearly a 9% divergence between the two series due to dynamic state-level data.

Secondary sector GVA declines but growth improves modestly. Meanwhile, tertiary sector growth sees revisions of –2 percentage points in 2023-24 and +0.7 percentage points in 2024-25.

India’s statistical overhaul does more than tidy up old data. By aligning CPI and GDP measurement with modern consumption patterns, enterprise data and global statistical standards, the new series reduces long-standing distortions in how prices and output are recorded.

Better measurement will not solve economic challenges on its own. But it does something just as important: it gives policymakers a clearer map of the terrain they are navigating. 

*With contrbution from Rishu Kumar