Evaluate the role of the National Sample Survey (NSS) rounds in strengthening India's statistical system, with reference to newly introduced surveys like DTES and NHTS.

Conducted in periodic "rounds" by the National Statistics Office (NSO), the NSS supplies the household-level evidence that administrative records cannot. The 80th Round's two new surveys — the Domestic Tourism Expenditure Survey (DTES) and the National Household Travel Survey (NHTS) — show both the system's adaptive strength and its persisting lags.

Strengths of the NSS round system

• Demand-driven design: DTES is conducted for the Ministry of Tourism's Tourism Satellite Account (TSA), and NHTS was introduced on the Ministry of Railways' requirement — surveys built to a user-ministry's stated need [1][2].
• Methodological continuity: DTES retains Schedule 21.1, the same instrument as the 2008-09 domestic tourism enquiry, enabling comparison across rounds [3][4].
• Credible design: a full-year field period (1 July 2025–30 June 2026) averages out India's seasonal travel; trips are bounded as overnight journeys up to 180 days within the last 365 days [1][5].
• Institutional capacity-building: a trainer cascade from the All-India Workshop of Trainers at ISB Hyderabad down to field enumerators standardises collection nationwide [6].
• New policy insight: interim findings show roughly 48 of every 100 overnight trips are for pilgrimage, and 30 for health and medical reasons — directly usable for PRASHAD, Swadesh Darshan and health-infrastructure planning [5].

Limitations

• Long latency: no comparable domestic tourism survey existed between 2008-09 and 2025-26, while the operative TSA still rests on a 2015-16 base year [4][7].
• Recall dependence: year-long recall under-reports short, cheap trips; same-day religious travel falls outside the overnight frame altogether [5].
• Under-utilised richness: origin and destination States are recorded, yet only all-India percentages are published [5].

On balance, the NSS rounds remain the backbone of India's statistical system, and DTES and NHTS demonstrate its capacity to generate new public goods on demand. Shortening the gap between rounds, and releasing disaggregated origin–destination tables, would convert this strength into genuinely real-time, evidence-based policymaking.