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PDF - Supervisory Data Quality Index for Scheduled Commercial Banks (June 2026) ()
Date : Sep 22, 2026
Supervisory Data Quality Index for Scheduled Commercial Banks (June 2026)

The Reserve Bank of India (RBI) has created a Supervisory Data Quality Index (sDQI) that measures data quality in terms of the Accuracy, Timeliness, Completeness and Consistency in the submission of returns. The objective of sDQI is to assess the adherence to the principles enunciated in the Reserve Bank of India (Commercial Banks – Supervisory Returns) Directions, 2026 and Reserve Bank of India (Small Finance Banks - Supervisory Returns) Directions, 2026. The sDQI score of Scheduled Commercial Banks (SCBs) has improved in June 2026 as compared to March 2026.

Trends in sDQI Scores of SCBs
Bank Group Mar-26 Jun-26
Accuracy Completeness Timeliness Consistency sDQI Score Accuracy Completeness Timeliness Consistency sDQI Score
Scheduled Commercial Banks 86.8 96.4 92.1 87.4 90.7 96.3 96.9 92.8 87.3 93.3
Public Sector Banks 86.2 98.1 91.5 86.8 90.7 97.5 98.1 92.1 86.9 93.7
Private Sector Banks 85.4 95.5 88.9 87.5 89.3 95.5 95.8 90.7 86.9 92.2
Foreign Banks 87.8 95.7 94.6 87.8 91.4 95.8 96.6 94.5 87.8 93.7
Small Finance Banks 86.6 99.3 89.5 86.4 90.4 98.4 99.3 91.0 86.6 93.8

The distribution of the Overall sDQI Scores for all SCBs upto the quarter ended June 2026 is given below. In June 2026, only one entity scored below 80.

SCB -sDQI Score Distribution

Interpretation of scores
Less than 70 Between 70 and 80 Between 80 and 90 More than 90
Major Concerns Needs Improvement Acceptable Good

The trends in the parameters and in overall sDQI scores for SCBs is shown below.

Timeliness, Completeness, Accuracy, Consistency, sDQI Score

The sDQI for SCBs covers 87 SCBs and their key returns (viz. Return on Asset Liability and Off-Balance Sheet Exposures (ALE), Return on Asset Quality (RAQ), Return on Operating Results (ROR), Risk Based Supervision Return (RBS), Liquidity Return (LR), Return on Capital Adequacy (RCA), Central Repository of Information on Large Credits (CRILC) – Main) and microdata submitted for supervisory assessment.

The broad methodological paper for sDQI is Annexed.