Document title: RBI launches November 2026 round of Inflation Expectations Survey of Households
Issuing authority: Reserve Bank of India
Reference number: Press Release 2026-2027/1429
Date: November 03, 2026
Macroeconomic Outlook
The Reserve Bank of India (RBI) continues its regular practice of conducting the Inflation Expectations Survey of Households (IESH) to capture subjective assessments of price movements and inflation expectations. The survey collects both qualitative judgments on price changes and quantitative expectations for current, three‑month‑ahead and one‑year‑ahead inflation rates. These household‑level expectations are intended to serve as useful inputs for the formulation of monetary policy.
Regulatory and Policy Measures
The November 2026 round of the IESH is being launched covering nineteen cities: Ahmedabad, Bengaluru, Bhopal, Bhubaneswar, Chandigarh, Chennai, Delhi, Guwahati, Hyderabad, Jaipur, Jammu, Kolkata, Lucknow, Mumbai, Nagpur, Patna, Raipur, Ranchi and Thiruvananthapuram. The survey seeks qualitative responses on price changes for the next three months and one year, as well as quantitative responses on current, three‑month‑ahead and one‑year‑ahead inflation rates.
M/s Hansa Research Group Pvt. Ltd., Mumbai, has been engaged by the RBI to conduct this round of the survey. Selected households will be approached by the agency, but any individual not approached may also participate by completing the linked online survey schedule. Completed schedules may be emailed to the contact details provided.
For queries, respondents are directed to contact the Director, Division of Household Surveys, Department of Statistics and Information Management, RBI, located at C‑8, 2nd Floor, Bandra‑Kurla Complex, Bandra (East), Mumbai‑400 051. Phone numbers are 022‑2657 8398 and 022‑2657 8332, and email communication can be sent to dhs@rbi.org.in. The press release is signed by Ajit Prasad (Communications) and a Deputy General Manager.
Overall, the launch underscores the RBI’s commitment to regularly gauge inflation expectations at the household level, thereby enriching the data foundation for its monetary policy deliberations.