VISTAR Scheme 2026-31: Cabinet Approves ₹4,371.10 Crore for Statistical Transformation

VISTAR Scheme 2026-31: Cabinet Approves ₹4,371.10 Crore for Statistical Transformation

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VISTAR Scheme 2026-31: Cabinet Approves ₹4,371.10 Crore for Statistical Transformation
Particular
Details
Scheme name
VISTAR
Full form
Viksit Bharat Initiative for Statistical Transformation, Analytics & Research
Approved by
Union Cabinet
Approval date
4 November 2026
Total outlay
₹4,371.10 crore
Duration
2026–27 to 2030–31
Type
Central Sector Scheme
Nodal Ministry
Ministry of Statistics and Programme Implementation (MoSPI)
Main objective
Modernisation of India's statistical system
2. Three Major Components
1. Comprehensive Statistical Operations and Strengthening of Ecosystem
  • Conduct 59 surveys instead of 43 major surveys previously.
  • Use AI and Machine Learning for data processing and analysis.
  • Introduce new economic indicators.
  • Use mobile phone, scanner and e-commerce data.
2. Support for Statistical Strengthening (SSS 2.0)
  • Financial and technical support to States and UTs.
  • Improve district-level GDP estimates.
  • Improve statistical infrastructure.
  • Develop million-plus city-level estimates.
3. Economic Census (EC)
  • Conduct the 8th Economic Census.
  • Collect information about non-farm establishments and workers.
  • Data collection up to Gram Panchayat and Ward level.
  • Establish a baseline for the National Statistical Business Register (SBR).
3. New Statistical Indicators
  • Headline Index of Services Production.
  • Index of Unincorporated Sector Enterprises.
 
Bharat VISTAAR vs VISTAR Scheme: Key Differences
 
Bharat VISTAAR
VISTAR Scheme
Agriculture and AI
Statistical transformation
Farmer-focused
Statistical system-focused
Ministry of Agriculture
MoSPI
Agricultural advisory platform
Statistical modernisation scheme
 
Bharat VISTAAR (2026)
Bharat VISTAAR stands for Virtually Integrated System to Access Agricultural Resources.
  • Launched by: Government of India.
  • Ministry: Ministry of Agriculture and Farmers Welfare.
  • Type: AI-powered multilingual digital platform.
  • Main objective: To provide farmers with easy access to agricultural information and advisory services.
  • Technology: Artificial Intelligence (AI) and Digital Public Infrastructure.
  • Language support: Multilingual access for farmers.
  • Key features:
    • Provides AI-based agricultural advice.
    • Offers crop-specific recommendations.
    • Provides weather-related information.
    • Helps farmers access government schemes.
    • Provides information about agricultural markets.
    • Supports informed farming decisions.
  • Main beneficiaries: Indian farmers.
  • Aim: To improve agricultural productivity, efficiency and farmers' income.

 

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