A recent Reserve Bank of India research study proposes using satellite night-time lights and Google Trends to estimate quarterly state economic activity. This model aims to reduce the 12-18 month lag typically seen in official state-level growth reporting, potentially allowing for faster economic analysis.
The Reserve Bank of India (RBI) recently featured a study in its October 2026 bulletin that explores using satellite imagery and internet search behavior to track economic growth at the state level. The research, titled 'Nowcasting State-Level Economic Activity in India with Night-Time Light and Google Trends,' suggests a new way to overcome the long delays that currently hold back official state-level statistics.
In India, data on Gross State Value Added (GSVA) often comes with a significant time lag of 12 to 18 months, making it difficult for policymakers and analysts to understand current economic conditions in specific regions. The study, authored by researchers Bipul Ghosh, Narendra Singh, and Sandhya Kuruganti, introduces a 'nowcasting' framework—a technique used to estimate current or near-future economic indicators using available real-time data.
To build this model, the authors combined two specific data streams: satellite-based night-time light intensity from NASA’s 'Black Marble' dataset and internet search trends from Google Trends. The logic behind using satellite light is simple: as economic activity and infrastructure expand, electricity usage and lighting intensity generally increase. By pairing this with Google Trends data related to categories like finance, jobs, and real estate, the model aims to create a high-frequency proxy for actual economic output.
The pilot application of this framework in three states—Gujarat, Karnataka, and Maharashtra—yielded promising results in the study. The model demonstrated that it could significantly reduce estimation errors, known as Root Mean Square Error (RMSE), when compared to traditional reporting methods. Specifically, the framework reduced these errors by up to 62% in Gujarat, 54% in Karnataka, and 38% in Maharashtra.
While these findings offer a potential path toward more agile economic tracking, the authors clarified that these views are their own and not the official stance of the Reserve Bank of India. For investors and market analysts, the findings highlight the growing importance of alternative data. However, the study also notes critical limitations. Satellite data and internet search trends serve as proxies, not replacements for official GDP or GSVA figures. Factors such as energy efficiency improvements can decouple light usage from actual economic output, meaning that electricity intensity might not always rise in perfect lockstep with growth.
Furthermore, the methodology is currently experimental and based on a limited sample of industrial states. Whether these results can be replicated across all Indian states with the same level of accuracy remains to be seen. The next steps for this type of research will involve testing the model’s reliability over longer periods and across states with different economic structures, which will determine if it becomes a standard tool for economic monitoring in India.