SRI-Hitotsubashi consumer purchase indices, are calculated based on the POS data of 4000 stores, such as supermarkets, convenience stores, drug stores, and large retail stores. In SRI-Hitotsubashi consumer purchase indices, we break down changes in consumer expenditures into price, quantity, and the effect of product turnover, which are shown in "Consumer-purchase Expenditure Index", to see the change in the price of consumer purchases, which are shown in "Consumer-purchase Price Index ", to see the change in the quantity of consumer purchases "Consumer-purchase Quantity Index ", to see the effect of products turnover in consumer purchases, which are shown in " Consumer-purchase Turnover-effect Index ".
From May 28, 2015, we published "Unit Value Price Index (Preliminary)". The indexes can capture the impact of capacity changes and replacement of new products and the old products on the price inflation.
Note: Both expenditure and price indices are net of tax (Value Added Tax). Information of perishable food, lunch, convenience store coffee, etc. are not included.
More detailed explanation on SRI-Hitotsubashi Consumer Purchase Indices is here.
The SRI‐Hitotsubashi Consumer Purchase Indices have been developed as a collaborative project among The Research Center for Economic and Social Risks, New Supermarket Association of Japan, and INTAGE HOLDINGS Inc. The index may be revised in the future. The Research Center for Economic and Social Risks, New Supermarket Association of Japan, and INTAGE HOLDINGS Inc. shall have no liability for any loss or damage resulting from the use of these data for any reason whatsoever.
The SRI-Hitotsubashi Consumer Decomposition Indices and all content included on the RCESR (Research Center for Economic and Social Risks, Hitotsubashi University) website are the copyrights of RCESR, New Supermarket Association of Japan, and, INTAGE HOLDINGS Inc. As such, they are protected by Japanese and other international copyright laws. Please indicate the sources (SRI-Hitotsubashi Consumer Decomposition Indices) when you quote or reprint the data provided on this site. When doing so, please notify RCESR in Hitotsubashi University (E-mail: email@example.com).