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India's data collection needs to go local to capture finer details

22 Apr 2026
3 min

India's GDP and Economic Measurement Challenges

The discourse surrounding India's gross domestic product (GDP) is ongoing, focusing on methodologies, revisions, and what various indicators reveal about the economy. GDP is not a singular truth but a constructed measure from partial and sometimes conflicting data, forming a coherent picture at the national level but becoming less clear at finer geographic levels.

Uneven Economic Growth

  • Growth in India is uneven and concentrated in specific corridors, such as technology hubs like Bengaluru and Hyderabad, manufacturing centers in Tamil Nadu and Western India, and urban regions around Delhi.
  • A few regions contribute disproportionately to new investments and formal job creation.
  • Recent Budget statements emphasize cities as "economic regions," indicating a policy focus on local economies.

Challenges in Observing Local Dynamics

The capacity to observe local economic dynamics is limited due to structural issues.

  • In formal economies, local activities are recorded in dense administrative records. However, in India, much output and employment remain informal, relying on surveys and approximations, which are not consistent for local measurement.
  • India's statistical architecture is robust at national and state levels but faces constraints at finer spatial levels, often relying on proxy-based allocations and assumptions.

Efforts to Improve Data Collection and Interpretation

  • Efforts are underway to enhance GDP estimation through richer surveys and administrative data, aiming to strengthen regional estimates.
  • Large surveys like the Periodic Labour Force Survey (PLFS) and the Annual Survey of Industries provide insights but are not designed for local analysis due to small sample sizes at district or city levels.
  • Some states are expanding survey efforts, but challenges of sample size and surveying capacity persist.

Utilizing Administrative and Alternative Data

Administrative data such as GST filings, payroll systems, and electricity distribution are increasingly used to fill data gaps. However, challenges in interpreting this data exist as it is not initially intended for economic measurement.

  • These datasets provide traces of the economy, leading to interest in alternative data like digital payments and satellite imagery, which are granular and high-frequency but risk misinterpretation.
  • The task is to interpret and combine these data fragments systematically to form a coherent view of the local economy, not to measure everything perfectly.

Implications for Policy

Developing a grounded understanding of local economic change is crucial as policy increasingly shapes at the local level. National and state averages might not accurately represent where growth occurs.

  • Districts like Pune and Nashik, comparable in population to Switzerland and Denmark, are large economic regions that remain partially visible in current data systems.
  • The shift towards place-based policy could remain incomplete without a clear view of local economies.
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Place-based policy

Place-based policy refers to government interventions or strategies that are specifically designed to address the economic and social challenges of particular geographic regions or localities, rather than applying uniform policies nationwide.

GST

Goods and Services Tax. An indirect tax levied on the supply of goods and services, implemented in India to simplify the tax structure and create a unified national market.

Annual Survey of Industries

The Annual Survey of Industries (ASI) is a major source of statistics on the manufacturing sector in India. It collects data on various aspects of registered factory sector enterprises, including production, employment, and capital.

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