The terms governing use of the EximDataProvider website and data services.
By accessing this website or subscribing to our services you agree to these terms. If you do not accept them, please do not use the service.
Subscriptions grant a non-exclusive, non-transferable right to use the data for your own internal business purposes. Redistribution, resale, sublicensing or bulk republication of the data is not permitted without written agreement.
Access credentials are issued per seat and must not be shared. You are responsible for activity conducted under your account.
Trade records are compiled from third-party customs and shipping sources. We take reasonable care in processing them but cannot warrant that every record is complete or free from error, and the data is provided for information rather than as advice.
Nothing on this site constitutes legal, tax, customs or investment advice. Classification and duty decisions should be confirmed with a qualified adviser.
Subscription fees are payable in advance for the agreed term. Unless cancelled before the renewal date, subscriptions renew for a further equivalent term.
To the fullest extent permitted by law, our aggregate liability arising out of the service is limited to the fees paid by you in the twelve months preceding the claim. We are not liable for indirect or consequential loss.
We may suspend or terminate access for breach of these terms, including unauthorised redistribution of the data.
Questions about these terms: info@eximdataprovider.com.
Access to the service grants a non-exclusive, non-transferable right to use the data for your own business purposes — research, sourcing, sales, market analysis and internal reporting. It does not grant a right to redistribute the underlying records, to resell them, to publish them as a dataset, or to build a competing product from them. Extracts used inside your own reports and presentations are ordinary use and are expected.
| Permitted | Not permitted |
|---|---|
| Internal research and analysis | Redistributing the underlying record set |
| Building buyer and supplier lists for your own use | Reselling the data as a product |
| Including extracts in your own reports | Publishing the dataset in bulk |
| Loading records into your own systems | Sharing seat credentials outside your organisation |
| Citing figures with attribution | Presenting the data as your own dataset |
The records come from national customs authorities and carriers. We do not create them, and we do not correct them to make them tidier. Authorities revise published periods, late filings arrive after first publication, coverage differs between jurisdictions, and some fields are not published at all. We present what the source published, with the period and provenance attached, and we leave gaps as gaps. The service is provided without a warranty that any particular record is complete or free of error, and it is not advice — commercial, legal, tariff or compliance.
Decisions taken on the basis of trade data remain yours. That includes classification positions, duty and preference claims, counterparty selection, credit decisions and compliance obligations such as sanctions screening. The record supports diligence; it does not discharge it, and it is not a substitute for advice on your obligations in your jurisdiction.
Access runs for the subscribed term and for the markets and depth agreed. We may improve the service, add coverage or change how data is presented; where a change materially reduces what you subscribed to, we will say so. Either party may decline to renew at the end of a term. Where an account is suspended for breach of the licence terms above, we will set out the reason.
If your use involves sharing records outside your organisation — with clients, in a published report, or inside a product you sell — tell us. There is usually an arrangement that works, and it is better agreed than assumed.
Extracts used inside your own reports, presentations and internal analysis are ordinary use. Where a figure is quoted publicly, attribute the underlying source as well as this site — most of the aggregate statistics here originate with national authorities and UN Comtrade, and saying so is both accurate and more persuasive than an unattributed number. Every table on the site shows the period and the source for exactly this reason.
These terms, together with any written order or scope agreed for a subscription, are the whole of the arrangement between us. Where an order and these terms conflict, the order governs for the matters it covers. If something goes wrong, the first step is to tell us and give us a reasonable opportunity to put it right — most issues with data coverage or delivery are resolved that way, and a conversation is faster than any formal process.
Trade data rewards a short, boring discipline far more than it rewards technique. Four steps cover most of it, and skipping any one of them is where the confident wrong conclusions come from. Fix the classification first, because every filter, every duty figure and every price comparison downstream is keyed to the tariff line and inherits any error in it. Then read at least three years, so that seasonality and trend can be told apart rather than conflated. Then exclude the most recent one or two periods, which are still filling in as late filings arrive. Then separate value from volume, because a value movement can be price, quantity or a change of mix inside the line, and those point in different directions.
| Step | What it prevents | Cost of skipping it |
|---|---|---|
| Confirm the tariff line | Filtering the wrong product | Every downstream figure is wrong by an unknown amount |
| Read three years | Mistaking a season for a trend | Strategy built on a cyclical high or low |
| Drop the incomplete tail | Reading reporting lag as decline | Writing off buyers who never stopped buying |
| Separate value from volume | Reading price as demand | Investing against a movement that was not demand |
| Check the counterparty | Acting on an unverified name | Credit or capacity committed to a company with no history |
| Record the period and source | Unrepeatable analysis | Figures nobody can reconcile three months later |
The material here is one layer of a set that is meant to be used together. The country pages establish the shape of a market from official reported figures. The HS chapter pages take a single classification down to product level. The industry hubs group the chapters that make up a real industry and sum them, because almost no industry is one chapter. The India location pages read the national record as places, using the clearance point as a geographic signal. And the trade role pages take one job at a time — building an importer list, checking an exporter, reading a lane — and set out the signals that matter for it.
Reported totals, partner markets and chapter breakdown for 99 markets.
Learn more ›All 98 chapters, each with the markets that trade it.
Learn more ›Thirty-eight industries, each summed across the chapters it spans.
Learn more ›Seventy-nine trading places, their gateways and their clusters.
Learn more ›The same record read as a buyer list, a supplier check or a lane analysis.
Learn more ›Classification, documentation, pricing, sourcing and compliance in practice.
Learn more ›Customs records cover goods that physically crossed a border and were declared to an authority. They do not cover services. They do not cover domestic trade, so a business selling mainly inside its own market will look far smaller here than it is. They carry no margin, no contract terms, no payment behaviour and no intent. Coverage of counterparty names varies by jurisdiction and is not universal, data arrives on a lag, and published periods are revised as corrections come in.
None of that reduces what the record is good for, and stating it plainly is what makes the rest credible. Used within its limits, customs data is one of the very few commercial sources where the underlying event actually happened, was documented at the time, and was documented under legal obligation rather than for promotional purposes. That is a rare property, and it is worth not overselling.
Before relying on any trade dataset — ours or anyone else's — ask which markets are covered at which depth, what the lag is in each, how company names were matched, and what happens to a historical series across an HS revision. The answers tell you more than any headline figure.