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VISTAR will expand surveys and count businesses to improve official statistics

First brief 5 Nov, 1:56 pm IST Updated 5 Nov, 1:56 pm IST 0 developments 2 min read
Shops at Janpath, Delhi; file photo
Pinakpani · CC BY 4.0

Where it stands

The Cabinet has approved VISTAR, a five-year programme to improve how India collects and uses official statistics. Its full name is Viksit Bharat Initiative for Statistical Transformation, Analytics & Research. The decision was announced on 4 November 2026. The Ministry of Statistics and Programme Implementation will run it during 2026–27 to 2030–31. The approved outlay is ₹4,371.10 crore. The programme includes 59 planned surveys and the 8th Economic Census. That census will count non-farm establishments and record information about their activities and workers. It will reach down to gram panchayats and urban wards, helping show where economic activity takes place. States and Union Territories will also receive support to strengthen their statistical systems. The aim is to produce more useful district-level and large-city estimates. This local detail can give policymakers a clearer basis for decisions about employment or household conditions.

Background

Governments need information about jobs, spending, production and businesses to decide where services and investment are needed. Collecting this information involves different methods. A survey studies selected households or enterprises and uses their responses to estimate a wider picture. An economic census builds a fuller list of establishments and their activities. That list can then help officials select businesses for more focused surveys. Small and unorganised enterprises matter because economic activity extends beyond large registered companies. VISTAR brings statistical operations, support for state systems and the Economic Census into one programme. It also proposes digital processing and more consistent ways to organise and share data. Comparable definitions and usable local detail help different government bodies work from information they can interpret together.

How it developed

  1. 4 November 2026
    How it started

    The approved programme links national operations with stronger state systems

    VISTAR has three components: statistical operations, support for state statistical systems, and the Economic Census. The 8th Economic Census will help build a Statistical Business Register for future enterprise surveys. The ministry also plans greater use of digital collection and artificial intelligence for processing, checking and analysing data. State support will follow a framework linked to agreed outputs. These measures aim to improve both the detail and timeliness of official statistics.

Why it matters for UPSC

GS3 · Economic statisticsGS2 · Governance

For GS3, explain how surveys and an economic census support economic measurement. For GS2, connect reliable local data with policy design and cooperation between the Centre and states.

Key terms

VISTARViksit Bharat Initiative for Statistical Transformation, Analytics & Research. This programme covers official statistical operations, support for state systems and the Economic Census. Its funding period runs from 2026–27 to 2030–31.
Sample surveyA study that collects information from selected members of a larger group, such as households or enterprises. Statisticians use the responses to estimate characteristics of that group. How the sample is chosen affects how well it represents the wider group.
Economic CensusA count of establishments engaged in economic activities within its defined scope. The planned 8th edition will cover non-farm establishments and workers. It supplies a detailed base for understanding businesses and designing later surveys.
Statistical Business RegisterAn organised record of establishments used for statistical work. It helps identify and select enterprises for surveys. VISTAR’s Economic Census is intended to help build this register.
District-level estimateA statistical estimate describing conditions within a district. National or state averages can hide local differences. More detailed estimates can help officials compare the places where policy must operate.
Sources (3)
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