Down gradation Resulted In Rs 42 Lakh Crore Cut In Nominal GDP Between FY23-26
“Indeed, there is a high possibility that even GDP numbers FY12 onwards may also undergo significant cuts": Systematix Group
CHENNAI: The shift from the 2011–12 base to a 2022–23 base has resulted in a uniform down gradation of past nominal GDP estimates by 3.3 percentage points for FY23–FY26, aggregating Rs 42 lakh crore or an annual average of Rs 10 lakh crore, finds Systematix Group. The down gradation has continued in the new series as well with Rs 6 lakh crore in Q1FY27.
“Indeed, there is a high possibility that even GDP numbers FY12 onwards may also undergo significant cuts. Adding to the cumulative cutback of Rs 42 lakh crore for FY23-FY26, when the recast of back years for 2022-23 series is made available eventually, the cumulative haircut during the FY16-FY26 decade could be close to Rs 100 lakh crore,” finds Systematix.
This downgrade for FY23-FY26 is across all major domestic demand aggregating—household consumption, government spending, and fixed capital formation—suggesting a systematic revision rather than isolated adjustments.
“The NSO has not explicitly explained the drivers behind the large, consistent downgrades in the new series, nor has it published a fully comparable historical series. A close reading of the NSO’s documentation on the base revision, however, indicates that informal-sector data has now been incorporated into the 2022–23 series using the Annual Survey of Unincorporated Sector Enterprises (ASUSE) and other surveys that restarted after a long gap,” said the report.
The GVA of the unorganised sector in the 2011–12 series relied on static, fixed ratios extrapolated from formal-sector growth. Under the 2011–12 series, initial GVA estimates for unorganized enterprises were built by combining per-worker productivity. But survey-based tracking of the informal economy was discontinued after 2012–13. For every year since, unorganized-sector growth was estimated indirectly — by extrapolating the 2011–12 benchmark using formal-sector proxies.
The series never captured how demonetisation, GST-related disruptions, global protectionism, and the pandemic lockdown affected the informal economy in real time. Given that the unincorporated enterprises contributed a substantial 62% of GVA in their respective sectors - 26% in manufacturing, 86% in trade and 72% in other services- their exclusion created a structural upward bias in GDP estimation, as measured activity shifted in favour of the organized sector at the expense of a shrinking unorganized sector.
When the withheld 2017–18 PLFS data eventually surfaced, it revealed unemployment at 6.1% — a 45-year high. The response was to reclassify a significant number of disguised-unemployed persons as productively employed within the PLFS framework itself, distorting the unemployment situation, wage estimates and value-addition calculations.
“The downscaling of nominal GDP in the 2022–23 series relative to the earlier 2011–12 series is best understood as the cumulative effect of long-accumulated distortions and overstated economic performance — not a one-off statistical quirk. It also carries a troubling implication: a fully comparable back-cast series may be unattainable, as informal-sector data was not collected for an extended period. Until missing data and linking factors are released, the practical approach is to use the 2011-12 nominal GDP series alongside the new 2022-23 series, with interim years relying on interpolation,” opines Systematix.
Viewed over the long term, average nominal GDP growth has decelerated secularly to 9%— the lowest since FY1972 outside of COVID-19 shock, and a sharp fall from the recent peak of 16% in FY12. Applying an average inflation rate of roughly 5%, the underlying structural real growth rate is realistically closer to 4–5%.