Strong statistical framework key to achieving Viksit Bharat goal by 2047: PM's Principal Secretary PK Mishra

PK Mishra said a strong statistical system must help governments measure development progress across states and districts. It must also assess policy outcomes, identify gaps, and check whether public resources are producing the intended results. This makes statistics a practical tool for governance, not merely a record of past events.

For example, comparable data can show whether a programme is reaching different districts equally. Officials can compare outcomes, spot areas falling behind, and examine whether a policy is delivering its promised benefits. Reliable measures allow decisions to rest on evidence rather than assumptions.

This matters for India’s Viksit Bharat vision for 2047. Mishra linked statistics with data harmonisation and technology-enabled governance. He also said methods must keep pace with the economy’s digitalisation, formalisation, and interconnectedness. Updated systems can support better planning and more accountable use of public funds.

A statistical framework is the set of concepts, definitions, methods, data sources, and quality checks used to describe society and the economy. It matters because raw data is not automatically meaningful. Information must be classified, checked, combined, and compared before policymakers can use it reliably.

For instance, records on production, employment, incomes, businesses, or public services can be collected from surveys and administrative systems. Statisticians standardise categories, remove errors, apply suitable methods, and calculate indicators such as growth rates or employment levels. Harmonised definitions allow results from different places and periods to be compared.

The article connects this framework to evidence-based policymaking. Mishra said India needs statistics that can measure progress across states and districts, assess policies, and reveal gaps. As the economy becomes more digital and interconnected, the framework must also update its methods and use technology effectively.

India’s nationwide comparison covers 28 states, 8 union territories, and more than 800 districts in current administrative listings. The article does not provide these counts, and district numbers can change when governments create or reorganise districts. The key challenge is therefore not only scale, but consistency.

To compare development fairly, governments need common definitions, methods, and indicators across every level. A measure of progress should mean the same thing in one state or district as it does in another. Data can then reveal regional differences, show where outcomes are weaker, and help officials target resources.

Mishra said a robust statistical system must measure progress across states and districts, assess policy outcomes, and identify gaps. For India’s Viksit Bharat ambition, reliable subnational comparisons can support more precise planning. They can also help governments test whether public spending is delivering intended results in different areas.

India’s methods for measuring economic activity must change because the economy is becoming more digital, formal, and interconnected. Older approaches may not fully capture activity recorded through digital systems, newly formal businesses, or links between different sectors. If measurement lags behind reality, economic indicators can become less complete or less useful.

For example, business activity may leave evidence across digital payments, tax records, bank systems, and connected supply chains. Updated methods can combine and harmonise these sources with established statistical processes. The aim is not simply to collect more information, but to represent production, income, and business activity more accurately.

Mishra stressed that India’s statistical framework must keep pace with these economic changes. Better measurement can improve policy design, comparisons, and assessments of outcomes. It can also support the broader goal of evidence-based governance as India works toward Viksit Bharat by 2047.

When statistics are reliable, comparable, and regularly updated, governments can base decisions on a clearer picture of development. They can measure progress, test whether policies are working, and identify communities or districts that are being left behind. This reduces dependence on assumptions or incomplete information.

Suppose two districts receive similar public support but report different outcomes. Comparable data can help officials investigate the difference, examine implementation, and decide whether a programme needs correction or expansion. Updated measures also show whether conditions have changed, so resources are not guided by outdated evidence.

Mishra said a strong statistical system should ensure that public resources deliver their intended results. Reliable information can therefore improve planning, evaluation, and accountability. It supports technology-enabled governance and the wider objective of achieving Viksit Bharat by 2047 through policies linked to measurable results.

Sources such as GST records, bank statements, payment data, and digital platforms can complement traditional surveys and administrative statistics by adding detailed evidence about real business activity. They can show transactions, revenues, account movements, and payment behaviour that may be difficult to capture through periodic surveys alone.

The article gives a clear lending example. Banks can use GST returns, bank statements, payment records, account aggregator data, and digital lending infrastructure to assess a business. This creates a fuller picture of cash flows and revenue-generating capacity. Lenders can then judge creditworthiness using better information rather than relying mainly on collateral.

Mishra stressed that this does not mean lowering credit standards. It means improving credit appraisal. Wider use of such data could expand access to finance, support the next generation of Indian businesses, and help capital markets finance ideas, design, and innovation as well as factories.

Economic activity means the production, exchange, and use of goods and services, together with the jobs, incomes, and business transactions connected to them. Measuring it matters because governments need to know whether the economy is expanding, where activity is occurring, and whether people and businesses are benefiting.

Statisticians estimate economic activity by gathering information from surveys, administrative records, business reports, tax systems, and other sources. They organise data on production, spending, incomes, employment, and investment, then apply consistent definitions and methods. GDP combines major parts of economic output into an overall measure, while employment and income indicators show other dimensions of performance.

The article says India must update its methods as the economy becomes more digital, formal, and interconnected. This means measurement systems should capture newer forms of activity and link information more effectively. Better estimates can strengthen planning, policy evaluation, and resource allocation.