🚨 India’s consumption puzzle: Why do two official datasets tell different stories about how we spend? PFCE (top-down; macro-consumption) vs. HCES (bottom-up; micro-consumption) 🔹 Gap has widened from 5% in 1972–73 to ~45% today. 🔹 Free/subsidised services (education, healthcare, meals) inflate PFCE but barely appear in HCES 🔹 Food share in household budgets is falling; non-food (transport, healthcare, rent, education) dominates This divergence isn’t just statistical—it affects how we measure poverty, prosperity, and the impact of policy. 📊 Latest piece by Ashish Kumar and Payal Seth from Pahlé India Foundation (PIF) in businessline unpacks the data divide and calls for urgent reforms (https://lnkd.in/dJWjyCQe)
Its a very good read! Insightful.
Very well articulated, wonderful reading and very informative.. Awareness for us .
Is there any methodological plan to synthesize HCES with FISIM, which as a notional entity forms part of PCFE?
Very informative, Sir. Similar reconciliation issue persists in area estimation of agricultural land. Regards.
Governance, Policy, Law, Sustainability Deep Tech Development and Deployment Specialist. Delivering Ecological Cities using Nature Based Solutions
1moWe analyzed GST burden on 3 tiers of population: bottom 50% B50, Middle 30% M30, Top 20% T20 https://docs.google.com/document/d/1HxPB5Kp2K9vtjEapPunEX6UC-aYFbBL-7u0-bMeBVs0/edit?usp=drivesdk