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.
Steel, Electronics & PLI
12 results for “Economic output”
Holdings indexed. Observed from deployed authenticated MCP; generic extraction quality is retained.
Crude steel production
crude_steel_production; unit million tonnes; extraction quality model_verified. Select compatible units, periods, bases and source scope before comparison.
Crude steel production
crude_steel_production; unit million tonnes; extraction quality model_verified. Select compatible units, periods, bases and source scope before comparison.
Crude steel production YoY growth
crude_steel_production_growth; unit %; extraction quality model_verified. Select compatible units, periods, bases and source scope before comparison.
Crude steel production YoY growth
crude_steel_production_growth; unit %; extraction quality model_verified. Select compatible units, periods, bases and source scope before comparison.
PLI for Large Scale Electronics Manufacturing: cumulative production
pli.lsem.production; unit inr_crore; extraction quality upstream_rule_verified. Select compatible units, periods, bases and source scope before comparison.
PLI schemes: incremental production / sales (all sectors, cumulative)
pli.production_sales; unit inr_crore; extraction quality upstream_rule_verified. Select compatible units, periods, bases and source scope before comparison.
Production Linked Incentive scheme · large-scale electronics manufacturing production
Source table for Production Linked Incentive scheme · large-scale electronics manufacturing production, with fields for period, period kind, value, unit, metric, qualifier, and as of basis. 1 indexed row. Table definitions and comparability require checking against the source.
Production Linked Incentive scheme · production sales
Source table for Production Linked Incentive scheme · production sales, with fields for period, period kind, value, unit, metric, qualifier, and as of basis. 18 indexed rows. Table definitions and comparability require checking against the source.
electronics production
Report the source-integrity gap rather than certify figures from a partial transfer.
find series
Discover true monthly trade, FYTD production, and PLI facts; gaps remain explicit.
steel fytd
JPC fiscal-year-to-date production, consumption, availability, stock variation and trade. through_month is the full YYYY-MM endpoint; window_start is retained.
steel monthly
True monthly JPC trade flows. Production/consumption FYTD totals are never labelled monthly; request steel_fytd for those. month uses YYYY-MM.
Inventory snapshot 10 Nov 2026. Publisher dates and individual source checks can differ.