India's Government Won't Use UPI for GDP Stats
India’s Ministry of Statistics has declined to include UPI data in official GDP calculations for now. The agency cited issues with data duplication, unaccounted cash transactions, and the difficulty of separating consumption from peer-to-peer transfers, highlighting persistent data blind spots in the massive payments network.
The decision stems from a core statistical challenge: UPI data is not yet clean enough for the precise task of calculating Private Final Consumption Expenditure (PFCE), the household spending component that makes up over half of India's GDP. The Ministry's sub-committee concluded that using the currently available data would introduce new errors into the national accounts. A major hurdle is the "supermarket problem." UPI transactions are tagged with broad Merchant Category Codes, like 'Grocery Stores, Supermarkets' (code 5411). This single category, which accounted for 25% of merchant transaction volume in January 2026, bundles together disparate items like food, electronics, and clothing, making it impossible to break down spending into the specific categories needed for accurate GDP itemization. Furthermore, the UPI data stream includes significant "non-consumption" financial flows that would contaminate consumption estimates. For instance, payments to "debt collection agencies" represented a mere 1.4% of transaction volume in January but a substantial 7.2% of the total value, illustrating how financial transfers get mixed with spending on goods and services. The ministry also cited data "stability" as a key concern, noting that many people are still transitioning from cash to digital payments. Until this shift stabilizes, UPI data would disproportionately represent the spending habits of digitally active consumers, failing to capture the full picture of the economy, especially the vast informal sectors that still rely heavily on cash. Currently, the Ministry of Statistics and Programme Implementation (MoSPI) estimates private consumption using the commodity-flow method, a more traditional approach. While exploring alternative indicators like UPI data is part of updating methodologies, the advisory committee deemed it too soon for a full integration. The exclusion is not permanent. The statistical body has indicated that once UPI transaction data stabilizes and classification issues are resolved, it may be explored for future inclusion. This would require a more granular data-sharing framework between the National Payments Corporation of India (NPCI) and MoSPI.
