South Korea Trade Data

TRADE DATABASE

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South Korea Trade Data

Data Characteristics

+ Accurate positioning of businesses: Trade data contains information and contact details of all foreign trade enterprises in South Korea, as well as the trade ranking of all enterprises in a certain industry.

+ Trade data analysis: South Korean trade data can be used to analyze trade activities, such as import and export volume and trading partners, which helps businesses understand market trends, predict future trends, and formulate business plans.

+ Statistics and economic research: South Korean trade data can be used to develop statistical reports and conduct economic research, such as analyzing the impact on industries and employment trends.

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Data Content

Korea Customs Data - Data Introduction (EN)

Korea customs data is built on the import declaration records released by Korea Customs. The sample declaration (202609) covers Apple mint candy shipped from China (CN) to Korea Rep (KR), with no published weight figure and no published value in this record. Standard bilingual party, product, shipment and value fields. The complete field system of this data set is broken down below.

1. Data Overview

Data type	Import customs data
Data source	Korea Customs (Import Bill of Lading data)
Total fields	20 fields in the sample, 5 modules
Coverage	Declaration, Importer (Buyer), Exporter (Supplier), Product, Shipment
Data update	Monthly, by clearance date; historical backtracking supported (sample month: 202609)

2. Field Module Structure

No.	Module	Fields	Representative Fields	Trade Value
1	Declaration Basic Information	3	Data type; Month; Date	★★★☆☆
2	Importer (Buyer) Information	2	Korea importer; Importer country	★★★★★
3	Exporter (Supplier) Information	4	Foreign exporter; Exporter Chinese name; Exporter standard English name; Exporter country	★★★★☆
4	Product Basic Information	2	Detailed product name; Second product name	★★★★☆
5	Shipment Information	9	Country of origin; Exporter country; Continent; Economic zone; Month; Clearance date; Manifest date; Import source country; Production / marketing region	★★★☆☆

3. Core Data Highlights

🧭 Bilingual Party Fields

Chinese buyer/supplier names and standard English names are both available where the counterparty is Chinese, making supplier identification unambiguous.

📈 Monthly and Date Fields

Month and clearance date are both recorded (202609 / 2026/9/11), so seasonality and lead time can be analysed at record level.

4. Use Case Guide

Scenario	Core Fields	Related Analysis Fields
🏢 Find Korea Buyers	Korea importer, importer company code, importer country	Code product description, USD amount, month
🔍 Verify Buyer Identity and Scale	importer company code, USD amount, net weight	Month trend, HS code, customs broker
💰 Build a Pricing Model	USD amount, CNY total amount, EUR total amount	Net weight, metric ton, quantity, quantity unit
🏭 Profile Competitors	Exporter, exporter country, exporter standard English name	HS code, code product description, USD amount
📈 Size the Market	HS code, USD amount, net weight	Month trend, country of origin, sub-industry / industry
🌍 Check Trade-Agreement Origin	Country of origin, economic zone, economic organization	Exporter country, trade type, port

💡 Key Value Notes

Korea customs data is a import declaration data set from Korea Customs. It provides consistent party, product, shipment and value fields for the whole market. Sample record: no published weight figure, no published value in this record.

Korea Customs Data - FAQ (EN)

1. Basics

Q1: What is Korea customs data?

Korea customs data covers the import trade records published by Korea Customs. Each record is one complete customs declaration line and contains the parties, the product, the shipment route and the declared values.

Sample record: Apple mint candy (202609) shipped from China (CN) to Korea Rep (KR), no published weight figure, no published value in this record.

Q2: What are the unique advantages of Korea data?

Core features of this data set:
1. party, product, shipment and value fields in one consistent schema

Q3: How frequently is the data updated?

The data is refreshed monthly and supports historical backtracking. The sample record is for month 202609 with a clearance date of 2026/9/11.

2. Field Interpretation

Q4: How are the product description fields structured?

Product text is recorded in English and is split into two levels:
- Code product description (the wording attached to the HS code): -
- Detailed product name (the specific item): Apple mint candy
- Use: filter by HS code first, then keyword-search the detailed product name to find the exact SKU family

Q5: Which currencies and value fields does Korea data provide?

Multiple value systems are provided:

Q6: What product does this record correspond to?

The product in this record corresponds to Apple mint candy:
- Code product description: -
- Detailed product name: Apple mint candy
- Sub-industry: -
- Industry: -

In this sample the goods were declared by Korea importer: Woowon Co Ltd.

Q7: What do the weight and quantity fields mean?

Weight and quantity fields are recorded separately, and unit prices are derived from each basis:
- Gross weight: not published
- Net weight: not published
- Quantity: not published
- Take care: compare unit prices only on the same basis - weight-unit prices and quantity-unit prices are not interchangeable

3. Use Cases

Q8: How do I use Korea data to develop buyers?

Steps:
1. Filter records where the korea importer is in Korea Rep (KR) and the HS code matches your product line
2. De-duplicate buyers by importer company code
3. Grade each buyer by purchase frequency and value (month, USD amount)
4. Look at which exporter they currently buy from, then pitch the same category

Sample application: Woowon Co Ltd (-) imported Apple mint candy from China (CN), so similar products can be pitched to the same buyer profile.

Q9: How do I build a pricing or cost model with this data?

Steps:
1. Extract the value fields: n/a
2. Note the Incoterms (sample: not stated) to know which cost elements are inside the declared value
4. Recalculate margin in the currency you actually settle in

Sample application: "Apple mint candy" declared under HS , - units, origin China (CN).

Q10: How do I screen clearance channels and logistics routes?

Steps:
1. Read the transport mode and entry point of each record (sample: -)
2. Group by origin country to see which corridor your competitors use
3. Compare declared unit prices between corridors

Sample application: goods entered from China (CN).

4. Data Analysis

Q11: How do I analyse import trends with Korea data?

Analysis dimensions:
1. Time: aggregate month, USD amount, net weight and record count using the month and clearance date fields
2. Origin: compare country of origin and exporter country shares
3. Product: rank HS codes, sub-industry and industry by value
4. Supplier: profile the main exporters and their declared unit prices

Sample application: the sample is a 202609 record (import), which can be used as one data point in a monthly trend line.

Q12: How do I screen price anomalies and audit declared value?

Screening method:
1. Use the value fields available in this data set ()
2. Compare line-level values with category medians on the same HS code
3. Flag zero-value and exemption records and exclude them from averages
4. Manually review the remaining outliers

5. Data-Specific Notes

Q13: Why does this record show no HS code or value fields?

This Korea data set is import bill-of-lading / manifest data rather than a full customs declaration, so the sample record only carries the parties, the product description and the shipment timing:
- Available: importer, foreign exporter, detailed product name (English and Chinese), production/marketing region, manifest date
- Not present in this record: HS code, weights, prices, duties
- Use: treat it as a counterparty and timing source (who ships what, when, from where), and combine it with a declared-value data set when you need pricing