MoSPI may pilot digital spending diaries for affluent households in 2027-28 HCES
India’s statistics ministry is considering self-reported digital spending records for high-income gated-community households, where survey non-response has risen. The pilot could improve visibility into affluent urban consumption and eventually inform CPI basket weights and retail demand analysis.
What happened
MoSPI may pilot self-reported digital diary spending records for affluent gated-community households in the 2027-28 HCES, addressing rising survey non-response. The survey shapes consumer-spending analysis and CPI basket weights, making methodology changes relevant to Indian retail demand intelligence.
Key facts
- HCES 2027-28 expected to begin in mid-2027 and run about one year
- 2023-24 HCES surveyed 2.6 lakh households
- Survey covered 405 goods and services
- Urban non-response rate rose to 9.8% in 2022-23 from 2.8% in 2017-18
- Affluent urban non-response rate was 11%
- RBI CPI inflation target is 4%, with a 2-6% band
Why this matters
The proposed diary model may create partnership opportunities in consented transaction-data, fintech analytics and consumer-insight platforms serving affluent urban households.
What to watch
- MoSPI pilot design, city coverage, sample size and whether diaries are app-based, receipt-based or linked to digital-payment records.
- Official statements on using pilot results in HCES estimation, CPI basket revision or non-response adjustment.
- Participation and completion rates among affluent households versus conventional interviewer-led collection.
- Evidence that reported digital spending materially exceeds existing survey estimates in e-commerce, delivery, subscriptions or premium services.
- Release timing and methodology of the next CPI basket/weight revision following 2027-28 HCES.
- Privacy, consent and data-governance rules governing use of transaction or platform data in official statistics.
- Build a separate affluent-urban demand index using loyalty, payments, marketplace and delivery-platform proxies rather than relying solely on HCES-derived benchmarks.
- Stress-test premium category forecasts for higher baseline consumption in top metros, especially beauty, wellness, electronics, travel, premium food, dining and home improvement.
- Ask consumer-insights vendors to disclose how they adjust for non-response among gated-community and high-income households.
- Prepare dual planning cases for CPI-linked price and wage assumptions if urban consumption weights are revised after the 2027-28 survey.
- Prioritize first-party data capture among high-income omnichannel customers, with explicit privacy controls and incentives for receipt or purchase-history sharing.