Steel · U.S. International Trade Administration

Steel Trade Monitor Country Reports Data

Datadory delivers steel trade monitor country reports data covering 15 major steel economies - the United States, EU, China, Japan, India and South Korea among them - with separate Exports and Imports editions carrying trade flows beside domestic production and apparent consumption for each, editions spanning 2022 through 2025, all resolved into typed rows.

API, files, or your warehouse. Daily, weekly, or hourly.

Where it covers
15 economies, each with its own report family: United States, European Union, China, Japan, India, South Korea, Canada, Mexico, United Kingdom, Turkiye, Russia, Ukraine, Vietnam, Indonesia, Thailand
How far back
Report editions dated 2022 through 2025, varying by country; each edition analyzes its report year
How fine
Country-level annual analysis per report, split into separate Exports and Imports editions, with production and consumption analyzed alongside the trade flows

What is the Steel Trade Monitor Country Reports dataset?

It is the International Trade Administration's Global Steel Trade Monitor as a family of country reports - roughly 28 report dashboards, one economy each, published by the Industry Monitoring and Analysis unit of the U.S. Department of Commerce. Fifteen economies get the treatment: the United States, the European Union, China, Japan, India, South Korea, Canada, Mexico, the United Kingdom, Turkiye, Russia, Ukraine, Vietnam, Indonesia and Thailand. Every economy maintains separate Exports and Imports editions, with report years running from 2022 to 2025 depending on the country.

Each report pairs global steel export and import trends with domestic production and apparent consumption for the economy it covers, and the family is rounded out by a Monthly Steel Factsheet of preliminary Census import figures plus a dedicated U.S. executive summary. Inside Datadory's catalog of 1,744 datasets across 159 viable industries, this record scores 7/10 - the appeal is structural: one issuer, a fixed per-economy template, and a trade-plus-production frame that repeats identically across all fifteen economies.

What do the sample rows look like?

Exactly as they land after normalization - one row per economy per reported indicator, keyed on edition and report year:

# steel trade monitor country reports - illustrative rows in the delivered shape
# one row per economy per reported indicator, keyed on edition and report year

economy         : Canada              report_edition : exports
indicator       : steel_exports       edition_year   : <year>
value           : <value>             unit           : <tonnes or USD>

economy         : China               report_edition : imports
indicator       : steel_imports       edition_year   : <year>
value           : <value>             unit           : <tonnes or USD>

economy         : European Union      report_edition : exports
indicator       : production          edition_year   : <year>
value           : <value>             unit           : <thousand metric tons>

economy         : Russia              report_edition : exports   reverse_flow : true
economy         : Vietnam             report_edition : imports   reverse_flow : true
economy         : Mexico              report_edition : exports   reverse_flow : true

... 15 economies | ~28 report dashboards | editions 2022-2025 | one row per reported figure

Three things in that shape do the work. The edition key keeps an export tonnage from ever being read as an import, because the two live in separate upstream editions. The edition_year key makes the 2022-through-2025 vintage spread queryable instead of buried in a title. And the reverse_flow flag marks Russia, Vietnam and Mexico - the three economies whose reports swap import and export statistics during construction - so a net-trade calculation downstream never inherits that imprecision silently.

What fields does the dataset include?

Eight columns on every delivered row. Five are measured values documented against the observed reports - the economy covered, steel exports from the Exports edition, steel imports from the Imports edition, domestic production and apparent consumption from the analysis section of each report. Three are delivery keys: report_edition, edition_year and the reverse_flow boolean.

Because every report in the family follows the same template, the dictionary holds across all fifteen economies without per-country exceptions - the only flag that changes meaningfully between economies is reverse_flow.

What geography, time range, and granularity does coverage span?

Geography: fifteen economies, each with its own report family - the United States, the European Union, China, Japan, India, South Korea, Canada, Mexico, the United Kingdom, Turkiye, Russia, Ukraine, Vietnam, Indonesia and Thailand. Together they bracket the world's largest producers, exporters and importers of steel, which is precisely why the set reads as a partner map rather than a random country list.

Temporal: report editions dated 2022 through 2025, with the vintage varying by economy - some partners are documented through 2025 while others stop earlier. Each edition is an annual analysis of its report year, so the record rewards structural comparison across economies more than week-to-week flow tracking.

Granularity: country-level annual analysis per report, split into separate Exports and Imports editions, with production and consumption carried in the same analysis. There is no plant, company or sub-national dimension here; for monthly American flow the companion record is Steel Import Monitor (SIMA), from the same issuer.

How is the data delivered?

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks. The rows arrive identical either way - economy, edition, year, indicator, value, reverse_flow - with the dashboard-native source material already extracted and typed, so nothing in your pipeline reconstructs figures from chart views or filter menus by hand.

Every delivery ships with the field dictionary above plus the sample rows for validation, and the reverse-flow flag rides on every affected row, so Russia, Vietnam and Mexico never contaminate a net-trade series quietly. A sample ships first either way - real rows for your named economies before any commitment.

Who uses this data, and for what?

  • Market researchers and consultants size steel-consuming markets economy by economy, using each report's production-plus-imports frame instead of stitching unrelated national sources; worked examples live on our market sizing page.
  • Supply-chain and procurement teams screen supplier countries before qualifying them - a partner whose production, import and consumption mix shifts shows up here before it shows up on a purchase order; see supply-chain mapping.
  • Competitive-intel teams track where rival producing nations' export volumes are aimed, economy by economy, off a template that never moves between reports; see competitor tracking.
  • Strategy and forecasting groups feed the per-economy trade-and-production frame into demand models for steelmaking inputs and finished products; see demand forecasting.
  • Journalists and academics cite a Commerce Department analysis with its methodology caveats attached - including the reverse-flow disclosure on three economies - rather than paraphrasing a wire summary.

Which personas get the most value?

Market researchers and consultants get a fixed-template partner map where the fifteenth economy's report pivots exactly like the first; see market researchers in steel. Journalists, academics and students get a citable government analysis whose caveats are printed in the document itself; see journalists and academics in steel. Investors and quants get the annual structural layer beneath higher-frequency volume prints - the reason a partner's trade balance moved, not just that it moved; see investors and quants in steel.

Which notes pair with this dataset?

Provenance note - published by the Industry Monitoring and Analysis unit of the U.S. Department of Commerce's International Trade Administration. The country reports sit under the Global Steel Trade Monitor umbrella alongside the Monthly Steel Factsheet of preliminary Census import figures and the U.S. executive summary. One issuer stands behind the whole family.

Methodology note - three economies publish reverse trade flow data. Russia, Vietnam and Mexico had import and export statistics swapped during report construction, so their figures may be less precise than the rest of the family. The flag travels with every affected delivered row rather than being footnoted away.

Completeness note - Datadory scores this record 7/10. The five measured fields carry inferred confidence until verified against every named economy at sampling, and archive depth outside the 2022-to-2025 edition window is confirmed at scoping rather than asserted here.

Where to go next - pair the annual country frame with faster and deeper layers: Steel Import Monitor (SIMA) for weekly-grain United States import flow, Monthly Crude Steel Production (71 Countries) for the global monthly volume print, and Iron and Steel Statistics and Information for the long-horizon statistical record.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - steel trade monitor country reports
fieldtypedefinitionexample
economystringTrading partner covered by the report; one of the fifteen economies maintained under the Global Steel Trade Monitor.Canada
report_editionenumWhich half of the report family a figure comes from: exports or imports. Kept as an explicit key on every row.exports
edition_yearintegerReport year of the edition the figure was drawn from, between 2022 and 2025 depending on the economy.<year>
steel_exportsnumberExport volumes/values shown in the Exports edition of each country report.<report figure>
steel_importsnumberImport volumes/values shown in the Imports edition of each country report.<report figure>
productionnumberDomestic steel production figures included in the report's analysis.<report figure>
consumptionnumberApparent domestic steel consumption figures included in the report's analysis.<report figure>
reverse_flowbooleanMarks the three economies whose reports use reverse trade flow data - Russia, Vietnam, Mexico - where import and export statistics were swapped during construction.true (Russia)

Coverage - geography, time, granularity

dimensioncoverage
Geographic15 economies, each with its own report family: United States, European Union, China, Japan, India, South Korea, Canada, Mexico, United Kingdom, Turkiye, Russia, Ukraine, Vietnam, Indonesia, Thailand
TemporalReport editions dated 2022 through 2025, varying by country; each edition analyzes its report year
GranularityCountry-level annual analysis per report, split into separate Exports and Imports editions, with production and consumption analyzed alongside the trade flows

Questions buyers ask

What fields does the steel trade monitor country reports data include?

Five measured fields per observation - the economy covered, steel exports from the Exports edition, steel imports from the Imports edition, domestic production and apparent consumption - plus three delivery keys: report_edition, edition_year and a reverse_flow boolean marking Russia, Vietnam and Mexico. Definitions are written against the observed reports and re-verified at sampling.

Which economies get their own report?

Fifteen: the United States, European Union, China, Japan, India, South Korea, Canada, Mexico, United Kingdom, Turkiye, Russia, Ukraine, Vietnam, Indonesia and Thailand. Each maintains separate Exports and Imports editions, and the family adds a Monthly Steel Factsheet of preliminary import figures plus a U.S. executive summary, for roughly 28 report dashboards in total.

What separates the Exports edition from the Imports edition?

Direction and vantage point. An economy's Exports edition follows what it sells abroad; the Imports edition follows what it buys. Both carry the same production and consumption context around the trade flows. Delivered rows keep the edition as an explicit key so the same shipment is never counted in opposite directions.

Why do Russia, Vietnam and Mexico figures carry a reverse-flow caveat?

Those three economies publish reverse trade flow data - import and export statistics were swapped during construction of their reports - so their figures may be less precise than the rest of the family. Deliveries keep them in with a reverse_flow flag on every affected row, so models can exclude or separately weight them.

How current is the coverage?

Report editions are dated 2022 through 2025, with the vintage varying by country - some economies are documented through 2025 while others stop earlier. Each edition is a country-level annual analysis of its report year rather than a continuously revised series, which suits the record to structural comparison over week-to-week tracking.

How does it compare with the Steel Import Monitor (SIMA)?

Same issuer, different clocks and cuts. SIMA tracks weekly-grain United States import filings and Census-based monthly monitors at weekly and monthly grain, while these country reports deliver annual, fifteen-economy structural analysis of exports, imports, production and consumption. Use SIMA for near-term American flow and this record for the multi-year partner-country picture behind it.

Can a sample be cut to named economies or indicators?

Yes. Samples are cut to the economies, editions and indicators you name - one partner's Imports edition across all available years, or production and consumption lines for the full fifteen-economy list. Rows arrive in the same column order as the sample rows above, so validation happens on your pipeline, not ours.

Datasets that pair with this one

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

See pricing