Asia (51 Countries) Direct Customs Data | Trade Activities Insights from 2012 till Present with Monthly Updates
# | Date |
Exporter |
Exporter_Address |
Exporter_State |
Exporter_District |
Exporter_Pin_Code |
CHA_Name |
Buyer |
Buyer_Address |
Port_of_Discharge |
Destination_Country |
HS_Code |
HS_Code_Description |
Product_Description |
Quantity |
Unit |
Total_Value_INR |
Unit_Price_INR |
Total_Value_USD |
FOB_Value_FC |
Unit_Price_FC |
Currency |
FOB_Value_in_Lacs_INR |
Port_of_Loading |
Mode_of_Transport |
Item_Number |
Drawback |
Chapter |
Heading |
Sub_Heading |
Month |
Year |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
2 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
3 | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx |
5 | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
6 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
7 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
8 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx |
9 | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
10 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx |
... | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx |
# | Date |
Importer |
Importer_Address |
Importer_City |
Importer_State |
Importer_District |
Importer_Pin_Code |
CHA_Name |
Supplier |
Supplier_Address |
Port_of_Unloading |
Origin_Country |
Port_of_Shipment |
HS_Code |
HS_Code_Description |
Product_Description |
Quantity |
Unit |
Invoice_Unit_Price_FC |
Currency |
Unit_Value_INR |
Unit_Value_USD |
Total_VALUE_INR |
Total_Value_USD |
Import_Paid_Duty_INR |
Import_Paid_Duty_USD |
Import_Paid_Duty_Percentage |
Mode_of_Transport |
Chapter |
Heading |
Sub_Heading |
Month |
Year |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx |
2 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
3 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
4 | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
5 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
6 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx |
7 | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
8 | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
9 | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
10 | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
... | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Date
|
String | 02-Jan-2023 | |
Exporter
|
String | VJ JINDAL COCOA PRIVATE LIMITED | |
Exporter_Address
|
String | Bakhtawar 6Th Floor, 229 Nariman Po Int Mumbai, Maharasht... | |
Exporter_State
|
String | Maharashtra | |
Exporter_District
|
String | Mumbai | |
Exporter_Pin_Code
|
Integer | 400021 | |
CHA_Name
|
String | EBENEZER LOGISTICS | |
Buyer
|
String | FOR ACCOUNT & RISK OF MESSERS | |
Buyer_Address
|
String | GENERAL COCOA COMPANY 30 WALL STREET -9TH FLOOR NEW YORK ... | |
Port_of_Discharge
|
String | Newark | |
Destination_Country
|
String | United States of America | |
HS_Code
|
Integer | 18040000 | |
HS_Code_Description
|
String | Cocoa Butter Fat And Oil | |
Product_Description
|
String | COCOA BUTTER (PPP NATURAL) | |
Quantity
|
Integer | 60000 | |
Unit
|
String | KGS | |
Total_Value_INR
|
Integer | 16473000 | |
Unit_Price_INR
|
Float | 274.55 | |
Total_Value_USD
|
Float | 201381.42 | |
FOB_Value_FC
|
Integer | 207273 | |
Unit_Price_FC
|
Float | 3.45455 | |
Currency
|
String | USD | |
FOB_Value_in_Lacs_INR
|
Float | 164.73 | |
Port_of_Loading
|
String | JNPT | |
Mode_of_Transport
|
String | Sea | |
Item_Number
|
Integer | 1 | |
Drawback
|
Integer | 0 | |
Chapter
|
Integer | 18 | |
Heading
|
Integer | 1804 | |
Sub_Heading
|
Integer | 180400 | |
Month
|
Integer | 1 | |
Year
|
Integer | 2023 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Date
|
String | 01/01/2023 | |
Importer
|
String | GETINGE MEDICAL INDIA PRIVATE LIMITED | |
Importer_Address
|
String | Office No. 204, Second Floor, B Wi Ng Fulcrum, Sahar Road... | |
Importer_City
|
|||
Importer_State
|
String | Maharashtra | |
Importer_District
|
String | Mumbai | |
Importer_Pin_Code
|
Integer | 400099 | |
CHA_Name
|
String | NAVKAR LOGISTICS PVT.LTD. | |
Supplier
|
String | GETINGE LOGISTICS AB | |
Supplier_Address
|
String | P.o box 69 SE-305 05 GETINGE SWEDEN, , SWEDENSDNF | |
Port_of_Unloading
|
String | Sahar Air Cargo | |
Origin_Country
|
String | United States of America | |
Port_of_Shipment
|
String | Amsterdam Schi | |
HS_Code
|
Integer | 39269099 | |
HS_Code_Description
|
String | Other | |
Product_Description
|
String | DOOR SEAL BLUE GSS67 - 579002811 (SPARE PARTS OF STERILIZ... | |
Quantity
|
Integer | 2 | |
Unit
|
String | PCS | |
Invoice_Unit_Price_FC
|
Integer | 8321 | |
Currency
|
String | INR | |
Unit_Value_INR
|
Float | 10078.8 | |
Unit_Value_USD
|
Float | 120.63 | |
Total_VALUE_INR
|
Float | 20157.62 | |
Total_Value_USD
|
Float | 241.26 | |
Import_Paid_Duty_INR
|
Integer | 6144 | |
Import_Paid_Duty_USD
|
Float | 73.54 | |
Import_Paid_Duty_Percentage
|
Float | 30.48 | |
Mode_of_Transport
|
String | Air | |
Chapter
|
Integer | 39 | |
Heading
|
Integer | 3926 | |
Sub_Heading
|
Integer | 392690 | |
Month
|
Integer | 1 | |
Year
|
Integer | 2023 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Importers
|
Companies | ||
Exporters
|
Companies | ||
Unit
|
|||
Weight
|
|||
Total Value
|
|||
Product Description
|
|||
Port of Loading
|
|||
Port of Unloading
|
Description
Geography
History
Volume
500 | Giga Bytes |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$6,000$5,700 / year |
Usage-based |
$1,000$950 / Country / HS Code |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates?
This data product describes the detailed direct customs data and trade data of all 51 Asian countries, which is a rich and extensive dataset offering comprehensive insights into international export-import activities.
What is Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates used for?
This product has 5 key use cases. Market Inside Data recommends using the data for Data Enrichment, Market Research, Market Intelligence, Sales Enablement, and Data Enhancement. Global businesses and organizations buy Transport and Logistics Data from Market Inside Data to fuel their analytics and enrichment.
Who can use Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Transport and Logistics Data. Get in touch with Market Inside Data to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates go?
This Data Platform has 12 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates cover?
This product includes data covering 51 countries like China, Japan, India, South Korea, and Indonesia. Market Inside Data is headquartered in United Kingdom.
How much does Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates cost?
Pricing for Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates starts at USD1,000 per Country / HS Code. Market Inside Data offers a 5% discount when you buy data from them through Datarade. Connect with Market Inside Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates?
Businesses can buy Transport and Logistics Data from Market Inside Data and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Market Inside Data can deliver this product in .bin, .json, .csv, .xls, and .sql format.
What is the data quality of Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates?
Market Inside Data has reported that this product has the following quality and accuracy assurances: 100% Accuracy, 100% Authenticity, 100% Direct Customs Data. You can compare and assess the data quality of Market Inside Data using Datarade’s data marketplace. Market Inside Data has received 2 reviews from clients. Market Inside Data appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.
What are similar products to Asia (51 Countries) Direct Customs Data Trade Activities Insights from 2012 till Present with Monthly Updates?
This Data Platform has 3 related products. These alternatives include African Union (55 Countries) Direct Customs Global Trade Import Export Data with Monthly Updates (Jan 2019 till Present), Grepsr Transport/Logistics Vessel and Container Tracking Datasets Global Coverage with Custom and On-demand Datasets, and Plugindata Customizable Global Trade Data by HS Code: 2.1 Billion Import-Export Records, Bill of Lading, and International Trade Insights. You can compare the best Transport and Logistics Data providers and products via Datarade’s data marketplace and get the right data for your use case.