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Data from Data from Government of India, Ministry of Steel, delivered clean., delivered clean.

2 datasets pulled from Data from Government of India, Ministry of Steel, delivered clean.'s releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.

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  • 1 industry
  • Real rows on request

What Datadory delivers from Data from Government of India, Ministry of Steel, delivered clean.

2
Steel India · Monthly issues spanning roughly 2019 through…

Ministry of Steel Monthly Summary Data

Steel India as the importing market · October 2019 through October 2025 published a…

Steel Import Management System (SIMS) Data

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Straight answers about Data from Government of India, Ministry of Steel, delivered clean. data

What does Datadory deliver from Government of India, Ministry of Steel?

Two cataloged datasets, both serving Steel: the [Ministry of Steel Monthly Summary](/datasets/steel/ministry-of-steel-monthly-summary), the official Steel Sector Monthly Economic Report with production, consumption, trade, prices and CPSE output scored 8/10, and the [Steel Import Management System (SIMS) data](/datasets/steel/steel-import-management-system-sims-data), transaction-level import registrations across ITC(HS) chapters 72, 73 and 86 scored 7/10.

How many records are in the SIMS registration data?

A single monthly extract runs to roughly 42,852 registration rows across 18 columns - for example the January 2025 extract - each row one registered import with origin country, ITC(HS) code, product category, declared application area and CIF value in US dollars. Holdings span October 2019 through October 2025.

How do the Monthly Summary and SIMS data differ?

They nest at different grains. The summary reports India's monthly steel trade at national level with the top five imported and exported categories named; SIMS resolves the same import flow down to individual registrations with origin country, sub-category and declared value. Use the summary for the headline and trend, SIMS when the question needs product-, origin- or consignment-level resolution - and Datadory ships the join between them.

How are provisional figures handled in deliveries?

Explicitly. Fresh months and quarters arrive flagged P - the April-June 2026 columns read provisional throughout - because compilation happens after the period closes. The flag rides every affected row into your warehouse, so a pipeline never mistakes a first-print quarter for a settled one when the revision lands.