The Reserve Bank of India has been conducting Inflation Expectations Survey of Households (IESH) on a quarterly basis since September 2005. The 32^nd round of the Survey with April-June 2013 as the current reference period has been launched today. The Survey seeks qualitative responses from households on price changes (general prices as well as prices of specific product groups) in the next three months as well as in the next one year and quantitative responses on current, three-month ahead and one-year ahead inflation rates. The results of this Survey are being used by Reserve Bank as one of the important inputs to the monetary policy formulation.

Inflation expectations are subjective assessments of around 5,000 households across 16 cities proposed to be covered in the Survey round and are based on households’ individual consumption baskets.

The agency M/s Beaumont Consultancy Services, Mumbai has been engaged to conduct this round of the Survey on behalf of the Reserve Bank of India. For this purpose, the households will be approached by the agency during the quarter and the selected households are requested to provide their response. Other individuals that are not approached by the agency can also participate in this survey round by downloading the survey schedule from the link. The filled in survey schedule may be e-mailed as per contact details given below. In case of any query/clarification, kindly contact at the following address:

The Director, Division of Household Surveys, Department of Statistics and Information Management, Reserve Bank of India, C-8, 6^th Floor, Bandra-Kurla Complex, Bandra (East), Mumbai-400051; Phone: 022-26578398, 022-26578332, Fax: 022-26571327

Sangeeta Das

Director

Press Release : 2012-2013/2084

Inflation Expectations Survey of Households launched to gather household price expectations informing monetary policy inputs. The Inflation Expectations Survey of Households (IESH) is a quarterly exercise gathering qualitative and quantitative household assessments of short and medium term price changes to serve as an input for monetary policy, using a sample across multiple cities and households' individual consumption baskets.