Industrial Conglomerates Data Provider: Filings, Macro, Operations and Market Maps · Head-to-head
BEA GDP by Industry vs Eurostat Data Browser (Industrial Production & Structural Business Statistics)
Which industrial conglomerates data provider: filings, macro, operations and market maps data fits your job: BEA GDP by Industry, or Eurostat Data Browser. API, files, or your warehouse. Daily, weekly, or hourly.
BEA GDP by Industry
Eurostat Data Browser (Industrial Production & Structural Business Statistics)
Where the fields line up
No shared field names. These two answer different questions.
| Field | BEA GDP by Industry | Eurostat Data Browser |
|---|---|---|
TableID | Identifier of the industry table behind the row - value added, gross output, employment, KLEMS or input-output families each publish their own numbered tables. | not in this set |
Frequency | Observation cadence of the series: A for annual, Q for quarterly. Only a subset of tables is published at quarterly cadence. | not in this set |
Year | Calendar year of the observation. Requesting ALL retrieves every period in the table in one pass. | not in this set |
Industry | BEA industry code on a NAICS basis - 11 for agriculture, 111CA-style codes for subsector detail, ALL for every industry at once. | not in this set |
LineDescription | Label of the measured item on the row: Value added, Compensation of employees, Gross operating surplus, Taxes on production, Gross output and kin. | not in this set |
TimePeriod | Period key carrying the observation: YYYY for annual rows, YYYYQn for quarterly ones. | not in this set |
CL_UNIT | Unit descriptor for the statistic - USD for dollar levels, PC for percentages such as contributions to percent change. | not in this set |
UNIT_MULT | Base-ten exponent multiplier applied to DataValue; 6 means the figure reads in millions. Ignore it and every aggregate is off by three orders of magnitude. | not in this set |
DataValue | The reported statistic itself - value added, gross output, intermediate inputs, employment or productivity component - interpreted through CL_UNIT and UNIT_MULT. | not in this set |
freq | not in this set | Time frequency of the observation: A annual, M monthly, Q quarterly. |
indic_bt | not in this set | Short-term business trend indicator - PRD marks Production (volume); related codes carry turnover, export and employment reads. |
nace_r2 | not in this set | NACE Rev. 2 activity classification, from section-level B-D aggregates down to 4-digit divisions - the join key into any industry taxonomy. |
Coverage, side by side
| BEA GDP by Industry | Eurostat Data Browser | |
|---|---|---|
| Geographic | United States national totals; states, counties and metro areas live in separate Regional products | EU27_2020 and euro-area aggregates, all member states individually, EFTA and candidate countries |
| Temporal | Annual from 1997 (1998 for percent-change tables); quarterly from 2005; historical input-output accounts 1947-1996 | Annual production indexes to 1953 for some countries; special-aggregate enterprise series 2005-2020, size-class series from 2021 |
| Granularity | Detailed NAICS-based industries - roughly 400-plus annually - with goods-producing, services-producing and government aggregates | Per NACE Rev. 2 activity per country per period, section B-D aggregates down to 4-digit divisions, split by indicator, unit and seasonal adjustment |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| BEA GDP by Industry | Eurostat Data Browser | |
|---|---|---|
| Publisher | U.S. Bureau of Economic Analysis | Eurostat (European Commission) |
| Subject lens | US industry economic accounts: value added, gross output, intermediate inputs, employment, KLEMS productivity and input-output supply-use tables | EU short-term statistics: indexed volume of production in industry (annual sts_inpr_a and monthly sts_inpr_m) plus structural business statistics on enterprises, turnover, production value, value added and personnel costs |
| Documented fields | 9 fields, definitions verified during research | 9 dimensions, definitions verified during research |
| Geographic coverage | United States national totals; states, counties and metro areas live in separate Regional products | EU27_2020 and euro-area aggregates, all member states individually, EFTA and candidate countries |
| Temporal coverage | Annual from 1997 (1998 for percent-change tables); quarterly from 2005; historical input-output accounts 1947-1996 | Annual production indexes to 1953 for some countries; special-aggregate enterprise series 2005-2020, size-class series from 2021 |
| Granularity | Detailed NAICS-based industries - roughly 400-plus annually - with goods-producing, services-producing and government aggregates | Per NACE Rev. 2 activity per country per period, section B-D aggregates down to 4-digit divisions, split by indicator, unit and seasonal adjustment |
| Headline observation | First-quarter 2026 estimates released June 25, 2026; next release scheduled September 30, 2026 | Germany's 2022 manufacturing production index at 99.8 (NSA, 2021=100); 23,382,451 EU27 enterprises counted in 2020 |
| Secondary industries | Office services and supplies | None |
| Best for | Dollar-valued industry structure and supply-chain linkage analysis inside one country | Harmonized production momentum and enterprise structure across many countries at monthly grain |
Where they're equivalent
More than the ocean between them suggests. Both are official statistics produced by government statistical offices - a US federal statistical agency on one side, the European Commission's statistical office on the other - not scraped or vendor-modeled products. Both publish aggregates by industry, never naming an individual conglomerate, so neither answers a question about General Electric or Siemens directly; pair either with filings-level records for that. Both classify economic activity with an official taxonomy and both were definition-verified during research. On paper this pair disagrees about almost nothing except what it measures and where.
The verdict
Verdict: sample both, pick by fit - the two answer different questions, and most serious questions about industrial activity ask both.
Take BEA GDP by Industry if the question is denominated in dollars. Sector contribution to GDP, gross output by industry, which industries capture compensation versus operating surplus, how a demand shock propagates through supplier requirements tables, KLEMS productivity sources - anything where the unit must be money and the geography is the United States.
Take the Eurostat Data Browser (Industrial Production & Structural Business Statistics) if the question crosses borders or months. Whether German and French manufacturing turning points coincide, how EU-wide production momentum compares against a member state, enterprise counts and size-class structure by NACE activity - anything needing harmonized series across many economies at monthly grain.
Investors and quant researchers tend toward BEA for factor construction on dollar fundamentals and Eurostat for cyclical-timing signals; market researchers usually want Eurostat's cross-country benchmark first and BEA's value-added ranking second.
Sample both, pick by fit. See BEA GDP by Industry · See Eurostat Data Browser
Or take both in one feed
Yes - as two lenses on the same industrial world, and the workflow is straightforward. Pull BEA value added and gross output for the US industries you track, pull Eurostat production indexes for the matching European activities, and read the two panels side by side for divergence between American and European industrial cycles.
Three seams decide whether the merge holds. First, units: never compare a dollar level against a 2021=100 index - convert BEA to its published percent-change tables (from 1998) or compute growth rates, and put Eurostat on PCH_SM so both sides speak in change-over-time. Second, classifications: NAICS and NACE Rev. 2 are related but not identical, so join through a concordance at the section or division level rather than trusting codes to match. Third, vintages and lags: BEA revises through the third estimate each quarter while Eurostat keeps only the latest version online, so stamp every pull and snapshot your own history if reproducibility matters. Browse the rest of the shelf at the industrial conglomerates data hub.
Datadory ships either record alone or both merged onto one calendar, delivered daily, weekly, or hourly - your call. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is BEA GDP by Industry better than the Eurostat Data Browser (Industrial Production & Structural Business Statistics)?
Better at different jobs. BEA wins where money and structure matter: value added in dollars, gross output, KLEMS productivity and input-output requirements tables for roughly 400-plus NAICS detail industries. Eurostat wins on cadence and breadth of geography: monthly production indexes plus enterprise counts across the EU27_2020 aggregate, every member state, EFTA and candidate countries. Sample both, pick by fit.
Can I compare a US dollar figure directly to the EU production index?
Not level against level. Every BEA observation carries a unit descriptor (USD, or PC for percent) with a base-10 exponent multiplier, so value added reads straight in millions; Eurostat's headline production measure is an index on a 2021=100 base or a same-period percentage change. Convert both to growth rates first - then the two systems line up.
Which dataset covers more history?
It depends on the series you name. Eurostat's annual production indexes reach back to 1953 for some countries, while its special-aggregate enterprise statistics run 2005-2020 with size-class successors starting 2021. BEA's annual industry accounts start in 1997 (percent-change tables 1998) with quarterly series from 2005, and its historical input-output accounts span 1947-1996 as a separate publication.
Do the two field dictionaries overlap?
Six constructs carry over: frequency, period, geography, industry classification, unit-of-measure handling and the observed value itself. Beyond that they diverge sharply - BEA's dictionary is nine fields oriented to account lines like compensation and gross operating surplus, while Eurostat's is nine dimensions oriented to indicators, seasonal-adjustment flags and index bases.
Can I get both BEA GDP by Industry and the Eurostat Data Browser (Industrial Production & Structural Business Statistics) from Datadory?
Yes - sample both and pick by fit, or take both in one feed. Each arrives normalized to its documented field dictionary (nine fields on the BEA side, nine dimensions on the Eurostat side), definitions verified during research, with sample rows attached for inspection before anything ships, delivered daily, weekly, or hourly - your call.