The government is looking to tap new data for its upcoming revision to the GDP series, sources told Moneycontrol.
In addition to Goods and Services Tax (GST) data, it also plans to leverage its databases such as the Vahan portal and the eGramSwaraj portal to improve the GDP coverage. “We are exploring the use of the Vahan portal and eGramSwaraj portal data for GDP calculation,” one of the sources said.
While Vahan records the vehicle registration data, eGramSwaraj is used to track the spending of Panchayati Raj institutions.
The government is also considering the Public Finance Management System to track receipts and payments for the Centre and the states.
The government tracks sales of commercial and passenger vehicles from the Society for Indian Automobiles Manufacturers (Siam) data, while the Controller General Accounts data is used for monitoring government consumption.
The government tracks sales of commercial and passenger vehicles from the Society for Indian Automobiles Manufacturers (Siam) data, while the Controller General Accounts data is used for monitoring government consumption.
“We have written to over 65 ministries asking for more administrative data, which can be used for economic valuation,” said the source, pointing out that the goal is to increase administrative data, like UPI statistics.
The Ministry of Statistics and Programme Implementation—in charge of the revision exercise—has received inputs from the Ministry of Cooperation, Ministry of Commerce and the Department of Chemicals.
The plan also includes expanding the coverage of companies under the Ministry of Corporate Affairs database and tapping data from unlisted enterprises.
Moneycontrol had earlier reported that the new GDP series is expected to have 2022-23 as the base year, with the new series data for FY26 to be available on February 28, 2026.
The current series is based on 2011-12 and was last revised over a decade ago. The government had planned to revise the series in 2017-18, but had to abandon the idea as it junked the Household Consumption Expenditure Survey citing data quality issues.
