India Launches VISTAR Scheme for Enhanced Statistical Capacities
The Union Cabinet, led by Prime Minister Narendra Modi, has unveiled the ‘Viksit Bharat Initiative for Statistical Transformation, Analytics & Research (VISTAR).’ This ambitious scheme is set to span from FY 2026-27 to FY 2030-31, with a substantial budget of Rs. 4,371.10 crore. VISTAR aims to create a modern statistical framework that is real-time and adaptable, in alignment with the Viksit Bharat 2047 vision.
The primary goal of the VISTAR Scheme is to revolutionize the official statistical architecture in India, enhancing timeliness, data detail, and compatibility with AI-ready datasets. This initiative is expected to provide the necessary flexibility for dynamic resource allocation based on pressing policy requirements, ensuring a comprehensive approach to conducting extensive surveys, methodological research, and national data governance.
Three Pillars of the VISTAR Scheme
The VISTAR Scheme is structured around three key components:
- Component 1: Comprehensive Statistical Operations and Strengthening of Ecosystem
- Component 2: Support for Statistical Strengthening (SSS)
- Component 3: Economic Census (EC)
In the first component, the Ministry of Statistics and Programme Implementation (MoSPI) aims to conduct 59 surveys during the 16th Finance Commission cycle. This marks a significant increase from the 43 major surveys previously conducted, addressing vital data gaps across various sectors. By leveraging recent advancements in digital technology, the MoSPI plans to undertake full digitalization of statistical processes while incorporating Artificial Intelligence and Machine Learning for efficient data processing, validation, and analysis.
Innovative Metrics and Tools for Policymaking
The Ministry is set to introduce new metrics such as the Headline Index of Services Production and the Index of Unincorporated Sector Enterprises. Efforts will focus on data harmonization through cataloging, interoperability, and privacy protocols to enhance data usage and reduce redundancies. This strategy will facilitate AI-informed decision-making across government levels.
MoSPI plans to integrate alternative data sources—like mobile and e-commerce data—into traditional surveys to minimize the burden on respondents while strengthening data-driven policymaking. Additionally, the Internship Scheme for students and research proposals from academic institutions will support capacity building among youth and researchers.
Empowering States and Enhancing Economic Insights
The Support for Statistical Strengthening (SSS) component will channel resources to State and Union Territory governments, aiming to improve statistical capabilities at local levels. Focus areas include the generation of high-quality, detailed data at the district level and indigenous data processing capabilities to inform localized policymaking.
Lastly, the Economic Census (EC) will facilitate the 8th Economic Census in partnership with States and UTs, collecting crucial data about non-farm establishments and their workers down to the Gram Panchayat and Ward levels. This data aims to assess the unorganized sector in the economy, serving as a baseline for developing the National Statistical Business Register (SBR). Such insights will be invaluable for national and regional planners, enhancing the understanding of the unorganized sector’s contributions to the Gross Domestic Product (GDP).
