Government datasets
Official statistics, administrative data, survey tables, and public-data portals.
Sources & methodology
Our research can draw from many source types, but every conclusion is judged by the quality, relevance, and limits of its evidence.
Official statistics, administrative data, survey tables, and public-data portals.
Filings, annual reports, investor presentations, earnings calls, and operating disclosures.
Clearly scoped questionnaires, interviews, observation, transaction evidence, and field research.
Peer-reviewed papers, working papers, institutional studies, and academic datasets.
Consulting reports, trade bodies, market studies, specialist publications, and category data.
Credible reporting and public statements used for context, leads, and contemporaneous evidence.
Published work should identify the source close to the claim it supports, link to the original material wherever possible, state the relevant time period, and distinguish an observed fact from our interpretation.
Definitions matter. Terms such as middle class, affluent, rural, urban, or city tier can vary by source. We will state the definition used rather than imply a universal boundary.
No single dataset fully describes Indian consumption. We compare sources, check whether they measure the same thing, and note conflicts or coverage gaps. A precise number is not useful if the underlying definition, sample, or date does not fit the question.
SampleDemonstrates structure or a framework; does not claim new empirical findings.
ExploratoryEarly signal with limited evidence and explicit questions for further work.
AnalysisSynthesises cited sources around a defined consumer or market question.
Primary researchUses a disclosed original method, sample, fieldwork process, and limitations.
Every article carries publication and last-updated dates. Material corrections should be noted in the article. Source links are preserved wherever possible so readers can inspect the evidence directly.