For Journalists, Academics & Students · Cargo Ground Transportation
Cargo Ground Transportation Data for Journalists & Academics: 9 Ranked Sources
Cargo ground transportation data for journalists and academics is best sourced from public agencies: Eurostat's road freight statistics, the UK Department for Transport's HGV series and Data.gov's freight catalog lead this ranking.
cargo ground transportation statistics for journalism · cited data sources for academic papers · where do journalists find data stories
API, files, or your warehouse. Daily, weekly, or hourly.
Which cargo ground transportation datasets should journalists cite first?
We rank for citability, not brand recognition: relevance to this persona first (three records carry the maximum relevance rating), then Datadory's 10-point quality score inside each band. Every entry states a publisher you can attribute - Eurostat, the UK Department for Transport, the Census Bureau, BTS, FHWA, USDA or Data.gov. The wider inventory behind this page sits in our cargo-ground-transportation data hub.
Which government publishers can you cite without asking permission?
Provenance-first reporting wants a statistical office behind every number, and two of these sources qualify outright. Eurostat Road Freight Transport Statistics Explained scores 9 out of 10 and is the accredited entry point to the road_go_* family: tonnes, tonne-kilometres and vehicle-kilometres for the EU27 plus Norway and Switzerland, annual totals running 1999-2025, split by operation type, NST goods group and distance class.
About 40 quarterly RFS and RORO OpenDocument tables cover goods lifted, tonne-kilometres by ITL2 region and international HGV movements, which lets a reporter benchmark haulage claims against official counts rather than industry press releases. Between them, the two national series answer most European trucking questions; Data.gov's freight catalog then extends the search to niche US federal sets such as BTS transborder flows and FMCSA carrier records.
What do US reporters use to track freight volumes, rates and bottlenecks?
For the United States, three records carry maximum quality scores of 10 or 9 and cover volume, price and forecast. The Commodity Flow Survey (CFS) 2022, run jointly by the Census Bureau and BTS, distributes its January 2026 PUMS microdata file - 37,576,546 shipment records with origin, destination, commodity, mode, value, weight and distance - as unregistered 680 MB zipped CSV downloads, alongside roughly 30 pre-tabulated state and metro summaries.
FHWA's Freight Performance Measurement Program completes the picture with monthly NPMRDS truck probe travel times and bottleneck delay across the National Highway System.
How fresh are these sources, and what should a citation include?
Freshness varies by design: USDA truck rates move weekly, FHWA probe measures and ATA releases monthly, Eurostat and the UK series quarterly, CFS and FAF5 annually, and the EU Open Data Portal mirrors its index daily. Catalog-wide, 22.6% of datasets, so deadline work usually finds a current figure.
The working pattern: build the story on CFS, FAF5 and USDA numbers, teach from the Eurostat article and UK DfT tables, and treat FHWA congestion measures as the methodologically documented layer for corridor claims.
Straight answers
Where do cargo ground transportation statistics for journalism come from?
From statistical offices, not trade groups. Eurostat covers EU road freight from 1999 to 2025, the UK Department for Transport publishes about 40 quarterly RFS tables on HGV activity, and the Commodity Flow Survey quantifies US shipments across 37,576,546 microdata records.
Which cargo datasets can be cited in an academic paper?
Prefer publishers that state methodology and reuse terms. FAF5 and USDA AgTransport are also US government works, quotable without permission.
Where do journalists find cargo and freight data stories?
Start at the Data.gov Freight Catalog, which surfaces roughly 130 federal freight titles through a JSON API, then go primary: the Commodity Flow Survey for what moves, USDA weekly rates for price pressure, FHWA measures for congestion. Of the 1,744 datasets Datadory catalogs, 1,715 earn this persona at least baseline relevance.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
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