High-frequency indicators like the PMI often diverge from official industrial production data. Explain the reasons and discuss their relative utility for policymaking.
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The HSBC India Manufacturing PMI eased to 54.7 in October 2026 from 55.1 [1]. Official data such as the IIP often moves at a different pace. The PMI has stayed above 50 since March 2023, while IIP growth has gone up and down from month to month [2]. The two differ because they measure different things, not because either is wrong, so they should be used together.
Reasons for divergence
- Breadth vs volume: PMI is a diffusion index built from how many firms report "better" or "worse". A reading of 54.7 means more firms improved; it does not mean output grew 4.7% [1]. IIP measures the physical volume of output.
- Base of comparison: PMI compares with the previous month. IIP is year-on-year, so base effects can push it up or down.
- Coverage and weights: PMI draws on a private panel of purchasing managers [1]. IIP uses a fixed basket of items with value weights, so a few fast-growing segments can lift the headline. For example, computer and electronic products grew 34.9% in December 2025 [2].
- Orders vs output: PMI captures new orders, such as export orders at a six-month high [1]. These show up as measured output only weeks later.
- Revisions: PMI is final when released. IIP is revised; November 2025's 7.2% is a revised estimate [2].
Relative utility for policymaking
| PMI | Official data (IIP, Core Index, GVA) | |
|---|---|---|
| Timeliness | Out at start of next month | Released with a lag; revised |
| Strength | Early turning-point signal; input-price sub-index flags inflation pressure | Measures magnitude and sector detail; feeds GDP estimates |
| Weakness | Private, sentiment-based, no magnitude | Backward-looking; dated weights |
| Best use | Monetary-policy timing, demand tracking | Fiscal planning, scheme evaluation (PLI) |
- Official surveys bridge the two: RBI's Industrial Outlook Survey records manufacturers' sentiment within the official system [2].
- Neither index captures structural change: The Economic Survey finds that manufacturing's share looks flat largely because of relative prices and rising input use [3]. Only GVA data can answer this question. It matters for NITI Aayog's target of 25% of GDP by 2035 [4].
PMI and official data are complementary tools. PMI shows the direction and speed of change, while official data shows its size and composition. Policymakers should combine both in a high-frequency dashboard. More timely official statistics with updated base years would narrow the gap and support evidence-based policy for manufacturing-led growth.
Sources
- 1"Manufacturing PMI eases in Oct., export orders hit high", The Hindu, 3 November 2026October PMI 54.7 vs 55.1; export orders at six-month high; private survey
- 2PIB Backgrounder: Union Budget FY 2026-27: Manufacturing Sector Driving India's Next Growth Phase (12 Feb 2026)PMI in expansion since March 2023; IIP 7.8% (Dec 2025) and 7.2% (RE, Nov 2025); electronics growth 34.9%; RBI Industrial Outlook Survey
- 3Economic Survey 2025-26, Chapter 1: State of the Economymanufacturing share looks flat because of relative prices and higher intermediate consumption
- 4NITI Aayog, *Reimagining Manufacturing: India's Roadmap to Global Leadership in Advanced Manufacturing* (2025)target of 25% manufacturing share of GDP by 2035