EU steel & basic-metals production statistics (dissemination API)
Datadory delivers eu steel basic metals production statistics dissemination api data covering Eurostat's NACE C24 estate: the monthly production-volume index back to 1953, annual structural enterprise statistics with hundreds of indicators, PRODCOM product-level output and EU steel trade flows — dimension-coded rows delivered as files, feed responses, or straight into your warehouse.
What is the EU steel & basic-metals production statistics dataset?
It is the European statistical system's account of basic-metal manufacturing — NACE Rev. 2 division C24, the division holding iron and steel and ferro-alloys at C24.1. Its spine is the short-term statistics family sts_inpr_m and sts_inpr_a, which carry the PRD production-volume indicator for industry: a dimension-coded index with base years including 2021=100, seasonal-adjustment flags separating non-adjusted, calendar-adjusted and seasonally-and-calendar-adjusted readings, and history reaching back to 1953 for some geographies.
Around that spine sit three complements. Annual detailed enterprise statistics (sbs_na_ind_r2) add hundreds of structural indicators — persons employed, turnover, value added, wages bill — down to C24 subclasses across NACE B–E. Employment by detailed industry arrives through nama_10_a64_e. PRODCOM carries product-level output, and the Comext trade family tracks EU steel flows with partner detail.
Datadory scores this record 9/10 inside a catalog of 1,744 datasets across 159 viable industries — one of twenty-three steel records. Where national federations summarize, this is the underlying official measurement, dimension-coded and joinable.
Get a sample of this dataset
What do sample rows look like?
Three monthly index observations for German basic metals and one structural-layer row — values as the dimensions encode them:
dataset : sts_inpr_m freq : M indic_bt : PRD
nace_r2 : C24 s_adj : NSA unit : I21 (2021=100)
geo : DE time : 2026-01 value : 88.1
geo : DE time : 2026-03 value : 97.6
geo : DE time : 2026-06 value : 92.9
dataset : sbs_na_ind_r2
label : Annual detailed enterprise statistics for industry (NACE Rev. 2, B-E)
nace_dimension_size : 414
updated : 2024-03-01T23:00:00+0100Read the first family left to right and the mechanics are visible: an unadjusted (NSA) German index on the 2021 base dips to 88.1 in January, rebounds past its base-year level to 97.6 by March, then settles at 92.9 in June — precisely the shape that makes the seasonal-adjustment flag worth filtering on before anyone calls a turning point. The second family is the structural layer: 414 NACE classes wide, annual, with person-, turnover- and value-added-level indicators behind every cell. Request a sample naming your geography and adjustment preference and the same two shapes come back filled for your markets.
What fields does the dataset include?
Nine fields carry every observation, and they behave like a coordinate system rather than a spreadsheet: choose a frequency, an indicator, a classification slice, an adjustment state, a unit and a geography, and each reference period resolves to exactly one value. The dictionary below maps all nine.
Because the fields are shared across the whole short-term family, a German C24 row and an EU27 aggregate row differ only in their coordinates — no re-mapping between them. Derived views sit under additional fields on request: PRODCOM product-level output mapped to the active C24 product codes, net-trade derivations from the Comext flows, and index-versus-turnover joins against the structural layer. They are named at sampling and computed on delivery rather than approximated here.
What does coverage look like across geography, time and granularity?
Geography — EU27_2020 aggregate, euro-area aggregates, EFTA members and candidate countries. Country-level depth varies by indicator: 23 geographies carried C24 monthly data in the most recent months tested, so a union-wide read needs the aggregate checked against its members.
Temporal — monthly series reach from January 1953 to the current month, one of the longest machine-readable production archives in the catalog. The structural business-statistics panel covers 2005 through 2020.
Granularity — monthly on the short-term side, annual on the structural side; NACE Rev. 2 detail descends to C24 subclasses, and the structural layer adds firm-aggregate economics beneath the volume index.
How is this dataset delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Name the geographies, adjustment states and base year when you request the sample — a single-country index or the full C24 estate across the union, monthly or annual or both. The sample ships first either way; the ongoing feed lands on whatever cadence your models need, in whatever form your stack already reads.
Who uses this steel production data, and for what?
An official production index earns its keep in four specific jobs:
- Market researchers and consultants — the chapter-one exhibit for any European steel study. A union-wide volume index on a fixed base, decomposable to member states, is the trend line everything else in the deck hangs from.
- Investors and quant researchers — cycle timing with a control built in. Because the non-adjusted and adjusted readings travel as separate dimension values, you can test whether an apparent turning point survives seasonal correction instead of inheriting someone else's smoothing choice.
- Economists and policy teams — the structural layer connects the volume story to persons employed, turnover, value added and wages bill for the same C24 classes, so a production drop can be traced to its labour and revenue consequences in one dataset family.
- Data scientists and engineers — a dimension-coded archive back to 1953 with stable codes means feature pipelines join on coordinates, not fuzzy entity resolution, and backtests get seventy years of regime variety to train on.
Which personas get the most value?
Market Researchers & Consultants get scope answered from the record itself: geography list, temporal range and granularity in one place, with the citation weight of official European statistics behind every figure. Investors & Quant Researchers get a sample period long enough to matter — seven decades of index history is enough runway to test whether production momentum actually led prices. Data Scientists & ML Engineers get cleanly coded dimensions and two complementary layers, high-frequency signal plus slow-moving structure, from one record. Journalists, Academics & Students get the original measurement rather than a republisher's chart of it, which is what review asks for. Start from the steel data hub, then read vs Steel Import Monitor (SIMA) for where European production measurement beats a US import lens.
Notes and related datasets
Provenance note — published by Eurostat, the statistical office of the European Union, whose databrowser indexes the industry theme these datasets belong to. One classification standard, NACE Rev. 2, runs across the short-term, structural, PRODCOM and trade layers.
Methodology note — the production index is a volume measure on a fixed base (currently 2021=100, with earlier bases retained as separate units). Seasonal adjustment comes in three states, and the unadjusted variant is the one that preserves the raw winter dip visible in the sample rows. Percentage-change measures ride along as units, not derivations you must compute.
Completeness note — Datadory scores this record 9/10 and the field dictionary above maps fully to the published dimensions. Two edges stay honest: the active PRODCOM product codes for C24 sold quantities are confirmed at sampling rather than guessed, and EU27_2020 aggregate values for recent months are verified there too, since individual countries sometimes publish ahead of the union aggregate.
Where to go next — pair the official index with industry-side and global views: EUROFER's European steel data for the producers' own account, worldsteel's monthly crude-steel series for 71 countries, UNSD's industrial commodity statistics for a UN-frame comparison, and USGS iron and steel statistics for the US counterpart. The glossary entries on the industrial production index, short-term business statistics and NACE divisions explain the machinery underneath.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| Field | Type | Definition | Example |
|---|---|---|---|
freq | enum | Time frequency of the observation: A annual or M monthly. | M |
indic_bt | enum | Business trend indicator carried by the short-term series; PRD denotes the production volume index. | PRD |
nace_r2 | enum | NACE Rev. 2 activity classification; C24 is manufacture of basic metals, subdividable into C24.1 iron and steel and ferro-alloy classes. | C24 |
s_adj | enum | Seasonal adjustment state: NSA non-adjusted, CA calendar-adjusted, SCA seasonally and calendar adjusted. | NSA |
unit | enum | Unit of measure: I21 (index 2021=100), earlier base-year indices I20/I15/I10, and percentage-change measures PCH_PRE and PCH_SM. | I21 |
geo | string | Geopolitical entity: EU27_2020 aggregate, euro-area aggregates and individual member or candidate countries. | DE |
time | date | Reference period, YYYY-MM monthly or YYYY annually; some geographies run back to 1953. | 2026-01 |
value | number | Observed value for the dimension combination, keyed by flattened coordinate index in the payload. | 88.1 |
updated | datetime | Timestamp of the last refresh of the parent dataset, included at dataset level in each payload. | 2024-03-01T23:00:00 |
Coverage — geography, temporal range, granularity
| Dimension | Coverage |
|---|---|
| Geography | EU27_2020 aggregate, euro-area aggregates, EFTA and candidate countries; 23 geographies carried C24 monthly data in the most recent months tested |
| Temporal | Monthly series from January 1953 to the current month (start dates vary by geography); structural business statistics 2005-2020 |
| Granularity | Monthly short-term statistics; annual structural and business statistics; NACE Rev. 2 detail down to C24 subclasses |
Questions buyers ask
What does the EU steel & basic-metals production statistics dataset include?
Four layers over NACE C24: the monthly and annual production-volume index with seasonal-adjustment variants and base years including 2021=100; annual detailed enterprise statistics with hundreds of indicators down to C24 subclasses; employment by detailed industry; and product-level PRODCOM output alongside EU steel trade flows. Every value carries full dimension coding for geography, period and unit.
How far back does EU steel production data go?
The monthly index reaches to January 1953 for some geographies, making it one of the longest machine-readable production histories in the catalog; most countries post shorter runs. The structural business-statistics panel covers 2005 through 2020 annually. Exact start dates vary by country and indicator, so confirm your slice's depth when you sample.
Is the data monthly or annual?
Both, and they answer different questions. sts_inpr_m tracks the month-by-month production index for cycle work; sts_inpr_a and the structural families report annually for trend and composition analysis. Adjustment states — non-adjusted, calendar-adjusted, seasonally and calendar adjusted — travel as a dimension, so both frequencies can be read raw or smoothed.
What is NACE C24?
The NACE Rev. 2 code for manufacture of basic metals: precious and other non-ferrous metals, foundries, and — at C24.1 — iron and steel and ferro-alloys, the heart of European steelmaking. It sits inside manufacturing section C, and the dataset's classification dimension subdivides it into classes so steel can be isolated from the rest of the division.
Which countries does the dataset cover?
EU27_2020 aggregates, euro-area aggregates, EFTA members and candidate countries. Depth varies by indicator — 23 geographies carried C24 monthly data in the most recent months tested, while the structural panel reports by member state. Name your markets when you sample and coverage for each is confirmed before anything ships.
Who uses Eurostat steel production statistics?
Market researchers anchoring European steel studies, investors and quants timing the production cycle, policy and economics teams connecting volume moves to employment and value added, and engineers building features from a dimension-coded archive that reaches back to 1953. Anyone who needs official European measurement rather than a republished chart of it.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.