Reliable official statistics are the foundation of evidence-based policymaking. In this context, examine the significance of the VISTAR scheme for India's statistical system.

Official numbers such as GDP, inflation and employment data decide where public money goes. The Union Cabinet's VISTAR is a ₹4,371.10 crore Central Sector Scheme for 2026-27 to 2030-31 [1]. It is a major step towards credible data, but only if its funding pays for data actually produced.

Significance for India's statistical system

• Unified architecture: one scheme with three components covers all of MoSPI's statistical and data-management work [1].
• Survey depth: MoSPI plans 59 surveys under Component 1 [1]. These give fresher evidence on consumption, jobs and enterprises, so welfare can reach the right people.
• Economic Census built in: it renews the list of enterprises that surveys and GDP estimates draw their samples from [1].
• Cooperative federalism: the Support for Statistical Strengthening (SSS) component sends 100% Centre-funded grants to State statistical directorates through PFMS [3]. This builds data for State and district planning.
• Analytics and research: the scheme moves MoSPI from collecting data towards analysing it. A fixed Advance Release Calendar [5] makes releases predictable and builds public trust.

Gaps VISTAR must close

• Input-based financing: MoSPI told Parliament that SSS released funds without a clear link to outputs [2].
• Funding stress: MoSPI's FY27 allocation was ₹4,522.25 crore against a projected need of ₹5,826.11 crore. The Committee warned this could cost the detail of State- and district-level data [2].
• Uneven State capacity: some States finished their SSS projects while others lagged, and small grants to some UTs lapsed unused [4].
• Flexibility risk: the Cabinet allows resources to be shifted as policy needs change [1]. State support could quietly shrink to pay for other components.

Way forward

• Use the planned SSS redesign [2] to pay grants for deliverables: specific datasets released on fixed dates, in the style of MoSPI's release calendar [5].
• Fund staff and training in lagging States before judging them on output targets [4].
• Report spending for each component every year to the Standing Committee on Finance [2].

VISTAR brings surveys, the Economic Census and State support into one five-year framework. Its real test is whether it pays for data produced rather than money spent. With output-linked grants and help for weaker States, it can serve SDG 17.18 (timely, high-quality data) and give Viksit Bharat @2047 a sound, accountable evidence base.