Construction Machinery & Heavy Transportation Equipment Data: Production, Trade, Fleets and Resale · Head-to-head
US Census Annual Survey of Manufactures (NAICS 333120 Construction Machinery Manufacturing) vs data.gov.uk - Traffic Commissioners goods vehicle operator licence records
Which construction machinery & heavy transportation equipment data: production, trade, fleets and resale data fits your job: US Census Annual Survey of Manufactures, or data.gov.uk - Traffic Commissioners goods vehicle operator licence records. API, files, or your warehouse. Daily, weekly, or hourly.
US Census Annual Survey of Manufactures (NAICS 333120 Construction Machinery Manufacturing)
data.gov.uk - Traffic Commissioners goods vehicle operator licence records
Where the fields line up
No shared field names. These two answer different questions.
| Field | US Census Annual Survey of Manufactures | data.gov.uk - Traffic Commissioners goods vehicle operator licence records |
|---|---|---|
YEAR | documented | not in this set |
NAICS2017 | documented | not in this set |
RCPTOT | documented | not in this set |
EMP | documented | not in this set |
PAYANN | documented | not in this set |
ESTAB | documented | not in this set |
VALADD | documented | not in this set |
CSTMTOT | documented | not in this set |
EMPQ1PW | documented | not in this set |
HOURS | documented | not in this set |
PAYANPW | documented | not in this set |
CEXTOT | documented | not in this set |
Coverage, side by side
| US Census Annual Survey of Manufactures | data.gov.uk - Traffic Commissioners goods vehicle operator licence records | |
|---|---|---|
| Geographic | `NAICS2017` industry cell (333120) plus state-level area cubes | `GeographicRegion` traffic area (Scotland, Wales, eight GB areas) |
What each contains
Pick by fit, not by loyalty.
| US Census Annual Survey of Manufactures | data.gov.uk - Traffic Commissioners goods vehicle operator licence records | |
|---|---|---|
| Reference period | `YEAR` survey reference year (benchmark cycles, e.g. 2021) | — |
| Geographic key | `NAICS2017` industry cell (333120) plus state-level area cubes | `GeographicRegion` traffic area (Scotland, Wales, eight GB areas) |
| Entity identifier | `ESTAB` establishment count and `INDGROUP`/`INDLEVEL` classification - no firm-level identifiers | `LicenceNumber` plus `CompanyRegNumber` Companies House registration |
| Economic magnitude | `RCPTOT` sales/value of shipments ($1,000), `VALADD` value added, `PAYANN` annual payroll, `CSTMTOT` cost of materials | None carried - economic scale must be inferred from `NumberOfVehiclesAuthorised` / `VehiclesSpecified` |
| Labor detail | `EMP`, `PAYANPW`, `HOURS`, `EMPQ1PW` employees, wages, hours and March-12 production workers | `DirectorOrPartner` and `TransportManager` named people, not workforce counts |
| Capacity / assets | `CEXTOT` and `CEXMCH` capital expenditures; `INVTOTB`/`INVFINB`/`INVTOTE` inventories | `NumberOfVehiclesAuthorised` / `TrailersAuthorised` and `VehiclesSpecified` / `TrailersSpecified` |
| Address detail | Not carried - tabulation is by industry and state | — |
| Quality apparatus | `EMP_S` relative standard error (%) and `EMP_IMP` imputation range beside estimates | `LicenceStatus` coded validity (e.g. `lsts_valid`) plus `TransportManager` presence check |
What each does better
the Census Annual Survey of Manufactures
Industry-wide economics in dollars. No registry can tell you what American construction machinery manufacturing produced, paid or invested in a year.
Statistical honesty built in. Every headline estimate travels with a companion: EMP_S relative standard error flags how shaky the employment figure is, EMP_IMP shows what share was imputed rather than reported. That makes the survey defensible in citation-grade work in a way a raw administrative register is not.
Depth and history. Dozens of tables per benchmark cycle across roughly 470 NAICS manufacturing industries, with series reaching back through the 2008-2011 collections and forward into the successor program whose first main release landed on 2026-02-26 for reference year 2023 - see the Annual Survey of Manufactures and AIES glossary entry.
Where it stops: it aggregates. There are no company names, no addresses, no individual trucks - you cannot find a single firm inside it.
What do the Traffic Commissioners licence records
For market mapping, lead generation or competitor tracking among British heavy-fleet operators, that is the grain the work actually happens at.
The register covers Great Britain across eight traffic areas and is refreshed weekly.
Where it stops: it is Britain only (Northern Ireland excluded), and it carries no money. No revenue, no wages, no investment - an operator's economic scale has to be inferred from vehicles authorised or joined in from elsewhere.
The verdict
Verdict: sample both, pick by fit. Let the unit of analysis decide, not the scores. If your question names an industry - what did US construction machinery manufacturing ship, employ, pay and invest last year, and how does that trend - the Annual Survey of Manufactures NAICS 333120 row is built for it, complete with standard errors to defend the numbers.
A 9/10 against an 8/10 is not a ranking to obey; it reflects verification depth and statistical documentation, not usefulness to your desk.
Sample both, pick by fit. See US Census Annual Survey of Manufactures · See data.gov.uk - Traffic Commissioners goods vehicle operator licence records
Fair questions
Which dataset covers more history?
The Census survey, decisively. Its cubes span roughly 2002-2016 plus the 2017, 2018-2021 and 2022 benchmark releases, continuing under AIES.
Can I compare US manufacturing trends with UK operator trends using these two datasets?
Yes, directionally rather than arithmetically. Align periods carefully - benchmark cycles versus weekly snapshots - and read co-movement, not differences, since the geographies and units never coincide.
Can Datadory deliver both datasets together?
Yes. Either record arrives alone or merged onto one delivery calendar, delivered daily, weekly, or hourly, your call.