Glossary

customs data

Customs data are shipment-level import and export records filed with national customs authorities, then aggregated and resold commercially for supplier discovery and supply-chain research. Coverage drives value: Panjiva's reporting countries represent about 35% of global trade flows across 2 billion-plus shipment records.

What is customs data?

Every ocean consignment entering the United States generates a customs filing, and vendors aggregate those filings into searchable databases. The cataloged examples sit at the top of this market. Panjiva (S&P Global) documents over 2 billion shipment records and 9 million company profiles, with customs records from dozens of reporting countries representing about 35% of global trade flows. ImportGenius advertises roughly 8 billion shipment records globally, including 258,473,434 US import shipments drawn from CBP ocean-freight manifests.

Both are subscription products with no free tier: ImportGenius USA Essentials starts at $229/month for the last 12 months of US data, while Panjiva routes every search through login with quote-based pricing and enterprise delivery via XpressFeed. That pricing reflects the underlying asset - customs filings are public in some jurisdictions and licensed in others.

Why does customs data matter when choosing a dataset?

Customs data answers who ships what to whom - supplier discovery, competitor tracking, trade-lane risk. The failure modes are coverage gaps priced as completeness and subscription costs discovered mid-project.

  • Country coverage is the product. ImportGenius aggregates 25+ reporting countries across Asia, Latin America, Europe and Africa, each with its own start/end window (India January 2018 to February 2026, Russia January 2011 to March 2025); verify your lanes fall inside them.
  • No free tier changes procurement. With ImportGenius from $229/month and Panjiva quote-only, budget approval precedes any evaluation - plan trials accordingly.
  • Free alternatives exist for aggregate views. Census trade statistics cover US flows publicly; commercial customs data buys shipment-level party names, which official aggregates never expose.

How do you evaluate customs data in a data source?

  1. Ask which countries file and since when. Panjiva's reporting countries represent about 35% of global trade flows - request the country list and per-country date windows in writing.
  1. Confirm record depth per lane. ImportGenius separates 258.5M US imports from 5.6M exports; check whether your direction and mode (ocean manifest versus air) is actually covered.
  1. Test company resolution, not just search. Both platforms resolve shipments into company profiles - Panjiva claims 9 million - because entity matching is where value concentrates.
  1. Read download caps before scaling. ImportGenius tiers cap row-level downloads at 1,000-150,000 rows/month; model your extraction volume against the tier.
  1. Compare against free official statistics. Census-based sources cover US trade freely; buy commercial customs data only for the party-level detail they uniquely add.

Entries that sit next to customs data in this glossary:

Frequently asked questions

What counts as customs data?

Shipment-level import and export records filed with national customs authorities - bills of lading and entry summaries - aggregated commercially. Panjiva holds 2 billion+ such records across 9 million companies.

Is there a free customs data source?

For US aggregates, yes: Census trade statistics are commercial delivery terms. For shipment-level party names the cataloged options are subscription-only - ImportGenius from $229/month, Panjiva with no free search tier.

How much of world trade do these databases cover?

S&P states Panjiva's reporting countries account for roughly 35% of global trade flows; ImportGenius adds records from 25+ countries beyond its core US manifest base.

Datasets containing this field

Datasets containing customs data

6 datasets carry customs data in the catalog. Open one, count the fields, judge for yourself.

Datasets

BIS CPMI Red Book Statistics — Retail Payments, Currency and FMIs

FREQ · REP_CTY · MEASURE …+12 more

Datasets

Companies House — Bulk Company Data (UK, SIC 46 Wholesale)

CompanyName · CompanyNumber · CompanyCategory …+17 more

Industries

data.europa.eu - EU Open Data Portal (Wholesale)

Title · Description · Country …+7 more

Datasets

data.gov — US federal open data catalog (wholesale trade)

title · organization · description …+5 more

Trading Companies & Distributors

Traffic Settled in the TARGET Services — ECB Monthly Statistics

Datasets

Federal Reserve Payments Study – U.S. Noncash Payments Volumes and Trends

Noncash payment type · Number · Value …+6 more

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