Bangladesh Transport and Logistics Data | Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates
# | Date |
Importer |
Importer_Address |
Supplier |
Supplier_Address |
Declarant |
Declarant_Address |
Export_Country |
Origin_Country |
HS_Code |
Product_Description |
Mark_And_No |
Item |
Item_Number |
No_of_Packages |
Total_No_of_Packages |
Package_Unit_Code |
Package_Unit |
Gross_Weight_Kg |
Net_Weight_Kg |
Quantity |
Unit |
Declared_Unit_Price_FC |
Assessable_Unit_Price_FC |
Item_Price_FC |
Total_Invoice_Value_FC |
Currency |
Total_Value_BDT |
Total_Value_USD |
Total_Tax_BDT |
Total_Declaration |
Total_Other_Costs |
Fine_Penalties |
Exchange_Rate |
Delivery_Terms |
Sector_Fund |
Mode_of_Payment |
DF_CV_ITC_FP |
Name_Carrier_Nationality |
Mode_of_Transport |
Location_of_Goods |
Office_Entry_Exit |
Port_of_Unloading |
bangladesh_import_Location_of_Goods |
Port_Office_Name |
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 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
2 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | 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 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
3 | 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 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
4 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | 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 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
5 | 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 | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx |
6 | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | 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 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx |
7 | 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 |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
9 | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
10 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx |
... | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Date
|
String | 01-Jan-2023 | |
Importer
|
String | HASSAN CONSTRUCTIONS | |
Importer_Address
|
String | ROAD-3, BLOCK-B/34, WESTSHOLOSHAHAR, BAYEZID, CHITTAGONG,... | |
Supplier
|
String | IMPACTOIL TRADING LLC | |
Supplier_Address
|
String | OFFICE NO2913,CHURCHILL TOWER 1 COMMERCIAL BUSINESS BAY D... | |
Declarant
|
String | WARISHA ENTERPRISE | |
Declarant_Address
|
String | 234 MIR BUILDING KHATUNGONJ CHITTAGONG | |
Export_Country
|
String | United Arab Emirates | |
Origin_Country
|
String | Bahrain | |
HS_Code
|
Integer | 27132010 | |
Product_Description
|
String | Petroleum bitumen in Drum BITUMEN GRADE 60/70 | |
Mark_And_No
|
String | - | |
Item
|
Integer | 1 | |
Item_Number
|
Integer | 1 | |
No_of_Packages
|
Integer | 6820 | |
Total_No_of_Packages
|
Integer | 6820 | |
Package_Unit_Code
|
String | DR | |
Package_Unit
|
String | Drum | |
Gross_Weight_Kg
|
Integer | 1060510 | |
Net_Weight_Kg
|
Integer | 1005950 | |
Quantity
|
Integer | 0 | |
Unit
|
|||
Declared_Unit_Price_FC
|
Float | 0.49101 | |
Assessable_Unit_Price_FC
|
Float | 0.500044584 | |
Item_Price_FC
|
Float | 493921.45 | |
Total_Invoice_Value_FC
|
Float | 493921.45 | |
Currency
|
String | USD | |
Total_Value_BDT
|
Float | 54414383.992 | |
Total_Value_USD
|
Float | 530639.08 | |
Total_Tax_BDT
|
Float | 17403294.48 | |
Total_Declaration
|
Float | 17462204.23 | |
Total_Other_Costs
|
Float | 1052805.53 | |
Fine_Penalties
|
|||
Exchange_Rate
|
Float | 106.0461 | |
Delivery_Terms
|
String | CFR | |
Sector_Fund
|
String | 012 Commercial Cash | |
Mode_of_Payment
|
String | CASH | |
DF_CV_ITC_FP
|
Float | 58909.75 | |
Name_Carrier_Nationality
|
String | ALVAN SG | |
Mode_of_Transport
|
String | Sea | |
Location_of_Goods
|
String | 301BD01 | |
Office_Entry_Exit
|
String | 301 Custom House, Chattogram | |
Port_of_Unloading
|
String | Chittagong | |
bangladesh_import_Location_of_Goods
|
String | 301BD01 | |
Port_Office_Name
|
String | Chittagong Custom House | |
Chapter
|
Integer | 27 | |
Heading
|
Integer | 2713 | |
Sub_Heading
|
Integer | 271320 | |
Month
|
Integer | 1 | |
Year
|
Integer | 2023 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Date of Shipment
|
Date | 01-Jan-23 | |
HS Code
|
Till 12 digits | ||
Product Description
|
PARTS:TIRE SHAFT FOR 10X361 PARTS:WASHER 10 FOR RV BOX PA... | ||
Total Value
|
$400211.00 | ||
Weight
|
201kgs | ||
Importer Name & Address
|
Amazon | ||
Exporter Name & Address
|
Samsung | ||
Origin Country
|
USA | ||
Destination Country
|
China | ||
Port of Loading
|
Guangzhou | ||
Port of Unloading
|
Los Angeles | ||
Insurance Terms
|
CIF/FOB/Exw |
Description
Country Coverage
History
Volume
40 | Gigabytes |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$5,000$4,750 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates?
The transport and logistics dataset includes import and export activities of Bangladesh from Customs declarations covering all importers and exporters companies details. Data is available from 2019 onwards till present.
What is Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates used for?
This product has 5 key use cases. Market Inside Data recommends using the data for Lead Generation, Market Research, Due Diligence, Competitor Analysis, and Investment Management. Global businesses and organizations buy Transport and Logistics Data from Market Inside Data to fuel their analytics and enrichment.
Who can use Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) 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 Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates go?
This product has 5 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.
Which countries does Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates cover?
This product includes data covering 1 country like Bangladesh. Market Inside Data is headquartered in United Kingdom.
How much does Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates cost?
Pricing for Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates starts at USD5,000 per year. 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 Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates?
Businesses can buy Transport and Logistics Data from Market Inside Data and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Market Inside Data can deliver this product in .bin, .xml, .csv, .xls, and .sql format.
What is the data quality of Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates?
Market Inside Data has reported that this product has the following quality and accuracy assurances: 100% Coverage, 100% Authentic, 100% Legal Customs. You can compare and assess the data quality of Market Inside Data using Datarade’s data marketplace. Market Inside Data has received 3 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 Bangladesh Transport and Logistics Data Export Import 100% Customs Trade Database (2019-2023) with Monthly Updates?
This product has 3 related products. These alternatives include Nigeria Export Import Direct Customs Detailed Database(2019-2023) with Monthly Updates, Import Export Data Import, Export & Trade Professionals in Asia Verified Global Profiles from 700M+ Dataset Best Price Guarantee, and Grepsr Transport/Logistics Vessel and Container Tracking Datasets Global Coverage with Custom and On-demand Datasets. 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.