India’s customs export records, searchable by ITC(HS) code, product, exporter, destination or port of loading, with FOB values and buyer details.
Name and location of the Indian exporter on the shipping bill.
The overseas consignee receiving the consignment.
Tariff code to 8 digits with the filed product description.
Declared free-on-board value in INR and USD.
Volume shipped in the declared unit.
Port of loading and destination country.
The customs record of goods leaving India — exporter name, ITC(HS) code, product, quantity, FOB value, destination country and port of loading.
Search the ITC(HS) code or product keyword and filter by destination or port. You get every Indian exporter shipping it, ranked by volume.
Yes, the foreign consignee is included where it appears on the shipping bill.
Shipping bill scheme codes are included where published, which indicates the export promotion scheme used.
Every Indian export statistic derives from the shipping bill — the export declaration filed with customs before goods may leave. It carries the exporter and its identifier, the consignee and destination, the classification, the description and quantity, the declared value on a free-on-board basis, the port of loading, and any scheme being claimed. Understanding that provenance explains most of the data’s properties, including why export values never match partners’ reported imports.
Indian exports are geographically concentrated in ways that the national totals hide. Knitwear runs through Tiruppur, cut and polished diamonds through Surat, pharmaceuticals through Hyderabad and Gujarat, engineering through the NCR belt and Coimbatore, marine products through the coastal south and east. Filtering by clearance point rather than by state gets you closer to the actual cluster, because a consignment clears where the exporter finds it convenient to file.
| Cluster | Files under | Clears through |
|---|---|---|
| Knitwear and hosiery | Chapters 61, 62 | Tuticorin, Cochin, ICD Irugur |
| Diamonds and jewellery | Chapter 71 | Mumbai air cargo, Hazira, Mundra |
| Pharmaceuticals | Chapter 30 | Hyderabad air cargo, Nhava Sheva, Chennai |
| Engineering and auto parts | Chapters 84, 87 | Nhava Sheva, Chennai, ICD Ludhiana |
| Spices and marine | Chapters 03, 09 | Cochin, Tuticorin, Visakhapatnam |
| Chemicals and dyes | Chapters 29, 32 | Dahej, Hazira, Mundra |
The shipping bill records which export scheme, if any, is being claimed, because the claim is made at the point of export rather than afterwards. That has a practical consequence for exporters: choosing the wrong bill type is difficult to correct after clearance, and a mismatch between the tariff line declared and the line a published rate attaches to is the most common reason a claim is rejected later.
Export declarations link to the banking channel through which proceeds are received, and shipments recorded as exported without matching realisation accumulate into a compliance question that requires documents from years back. Reconcile as you go.
The same record is a supplier map. Filter to your tariff line, look for exporters with unbroken activity across several years and several destinations, check that consignment sizes match your requirement, and read the declared unit value band before you enquire. Because Indian filings carry an entity identifier, the aggregation behind those checks is more reliable than in most markets.
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.
The shipping bill record — exporter and identifier, consignee, destination, HS code to the national line, product description, quantity, free-on-board value, port of loading and any scheme claimed.
Because the export transaction ends at the loading port, so onward freight and insurance are not part of the declared value. Import values elsewhere include them, which is why mirror figures never match.
Yes. Filter the export record by tariff line and rank on consistency — years of history, destination spread and recent activity — rather than on volume alone.
The shipping bill carries the scheme code, which is one of the fields that distinguishes an export declaration from a simple commercial document.
Check both flows under the same identifier. Inputs imported under related chapters alongside finished-goods exports is the clearest evidence of production.