Infocomm Media Development Authority (IMDA) household survey data on online shopping among Singapore residents. CSV datasets include overall Online Shoppers, breakdowns by age group, and by value of purchase from the Annual Survey on Infocomm Usage in Households. Digital economy researchers track e-commerce adoption trends from 2002 through the years published on data.gov.sg. Methodology notes describe face-to-face interviews with nationally representative household samples.
Official description
#Definition:
Proportion of Singapore residents who bought or ordered goods, services or made transaction over the internet before
#Introduction:
The Annual Survey on Infocomm Usage in Households (“Survey”) has been conducted by IDA since the 1990s. The objective of the Survey is to assess the extent of infocomm adoption in Singapore resident households1 and residents.
#Methodology:
Data was collected from about 3,500 households and about 3,500 residents via face-to-face interviews. The sample of addresses was provided by the Singapore Department of Statistics based on a random selection using a two-stage stratified design by geographical location and housing type.
Info-communications Media Development Authority CSV tracking the adoption of online shopping in Singapore from 2002 through 2018. Each row gives the year and the percentage of individuals who shopped online. Digital-economy analysts, e-commerce researchers, and policymakers use the series to chart the rise of internet retail and consumer digital behaviour over more than a decade.
Info-communications Media Development Authority CSV tracking the share of online shoppers in Singapore by value-of-purchase band from 2006 through 2015. Digital-economy researchers study e-commerce adoption and spending behaviour over the pre-pandemic decade.
Percentage of online shoppers by age group in Singapore from 2007 through 2018, published by the Info-communications Media Development Authority in CSV. Tracks e-commerce adoption across cohorts, supporting digital economy research and retail channel shift analysis.