Data catalogue
Find datasets, series, publications and extracts across the marketplace.
- Warehouse rows
- 4.67B
- Structured DB
- 1,255.05 GB
- Live data store
- 139.80 GB
- Data tables
- 1,02,754
- Publications & data products
- 1,412
About these figures
BigQuery reports 4,665,261,859 physical rows across 72 native base tables in 8 catalogue warehouses, measured on . Structured DB measures logical bytes across the same tables. The headline excludes 4 verified staging and backup tables with 359,440 rows and 0.13 GB of logical storage. Separate publisher editions can contain overlapping observations.
The earlier 40-MCP inventory reported 1,115,017,091 records across warehouses, files and upstream sources, including 811,051,329 upstream survey records from MoSPI NADA.
Live data store measures 139.80 GB of live catalogue objects across 39 Cloud Storage buckets, measured on .
UNCTAD ingestion files account for 153.97 GB of additional live storage. Retained soft-deleted objects account for 101.90 GB. Raw publisher archives and their corresponding BigQuery tables are measured in their respective storage layers.
Data tables counts 1,02,754 publisher tables held across the marketplace MCPs, measured in each MCP's own store on 2026-11-10: one table, sheet, dataflow, report section or API dataset in one edition counts once, the way data.gov.in counts resources. Raw copies, backups and archive duplicates are not counted twice. They belong to 1,412 publications and data products — six Economic Survey reports are one publication — which hold 10,664 editions, 9,269 series and 19,717 documents. India Intelligence and Survey chapter packs are built from these MCPs and are not added. Geo-Spatial can also reach 2,36,742 data.gov.in resources live; they are not held and not counted.
The search index includes 12,121 datasets (tables, survey studies and map layers) and 367 individually indexed series. Separate live and archived access routes can have their own entries. These figures apply across the catalogue, regardless of filters.
India Digital Payments
25 results
Holdings indexed. Every payment rail NPCI publishes — UPI, IMPS, NACH, FASTag, AePS, RuPay — as monthly and daily series, plus the bank-level detail underneath: chargebacks, decline rates and issuer performance.
AEPS ecosystem — BD & TD
NPCI aeps bank-level ecosystem BD & TD Sr No Issuer Bank Name Total Volume (in Mn.) Approved % BD % TD % chargeback decline approval performance.
AEPS ecosystem — Chargeback
Indexed data from India Digital Payments covering AEPS ecosystem — Chargeback. Reporting frequency is monthly. Geographic coverage is Bank.
AUTOPAY ecosystem — PSP Wise execution
NPCI autopay bank-level ecosystem PSP Wise execution Sr. No. Payer PSP Total Volume Approved % BD % TD % payer payee chargeback decline approval performance.
AUTOPAY ecosystem — PSP Wise Registration
NPCI autopay bank-level ecosystem PSP Wise Registration Sr. No. Payer PSP Total Volume Approved % BD % TD % payer payee chargeback decline approval performance.
AUTOPAY ecosystem — Top 50 Remitter Banks
NPCI autopay bank-level ecosystem Top 50 Remitter Banks Sr. No. Remitter Bank Total Volume Approved% BD% TD% execution reg chargeback decline approval performance.
IMPS ecosystem — Bank Performance
NPCI imps bank-level ecosystem Bank Performance Sr. No. IMPS Beneficiary Banks Total Volume (In Mn.) Approved % BD % TD% Deemed Approved % chargeback decline approval performance.
IMPS ecosystem — Chargeback
NPCI imps bank-level ecosystem Chargeback Sr.No Code Bank Name Corrected Total Txns during the month CB Ratio Chargebacks Received during the month Re-presentment Raised during the month Chargebacks Accepted during the month chargeback decline approval performance.
IMPS ecosystem — FIR Bank wise Performance
NPCI imps bank-level ecosystem FIR Bank wise Performance Sl. No. IMPS Remitter Bank Volume (Lakhs) Value (Cr.) chargeback decline approval performance.
NACH ecosystem — ACH Credit
NPCI nach bank-level ecosystem ACH Credit Sr.No. Bank Name Inward volume (In Mn.) Success % Declines % dest-return dest-resp sponsor-return sponsor-resp chargeback decline approval performance.
NACH ecosystem — ACH Debit
NPCI nach bank-level ecosystem ACH Debit Sr.No. Bank Name Inward volume (In Mn.) Success % Business declines dest-return dest-resp sponsor-return sponsor-resp chargeback decline approval performance.
NACH ecosystem — APB Credit
NPCI nach bank-level ecosystem APB Credit Sr.No. Bank Name Inward volume (In Mn.) Success % Declines % dest-return dest-resp sponsor-return sponsor-resp chargeback decline approval performance.
NETC ecosystem — Acquirer Banks
NPCI netc bank-level ecosystem Acquirer Banks Sr. No Acquirer Banks Total Volume (In Mn.) Approved % DECLINED chargeback decline approval performance.
NETC ecosystem — Dispute Statistics
NPCI netc bank-level ecosystem Dispute Statistics Sr.No Bank Name Total Volume (In Mn.) NET Chargeback RATIO Chargeback Received Re-Presented Accepted/Deemed Accepted chargeback decline approval performance.
NETC ecosystem — Issuer Banks
NPCI netc bank-level ecosystem Issuer Banks Sr. No Issuer Member Bank Total Volume(In Mn.) Approver% Deemed Approved% chargeback decline approval performance.
NFS — Direct Member Bank
NPCI nfs payment rail Direct Member Bank Sr. No. Direct Member Bank Name ATM Count volume value transactions.
NFS — RRB
NPCI nfs payment rail RRB Sr. No. RRB Member Bank Name ATM Count volume value transactions.
NFS — Sub-Member Bank
NPCI nfs payment rail Sub-Member Bank Sr. no. Sub Member Bank Name ATM Count volume value transactions.
NFS ecosystem — BD & TD
NPCI nfs bank-level ecosystem BD & TD Sr No Issuer Bank Name Total Volume (In Mn.) Approved % BD % TD % chargeback decline approval performance.
NFS ecosystem — Chargeback
NPCI nfs bank-level ecosystem Chargeback Sr. No. Bank code Bank Name Net CB ratio% CB received Represented Accepted/Deemed accepted chargeback decline approval performance.
RUPAY ecosystem — Chargeback
NPCI rupay bank-level ecosystem Chargeback Sr. No Bank Code Bank Name CB ratio% chargeback decline approval performance.
Inventory snapshot 10 Nov 2026. Publisher dates and individual source checks can differ.