Live Raw-cotton Import data of Bangladesh imports from india under HS Code 60 via Port Custom-house,-benapole , our Bangladesh customs import data reports include date, value, quantity, product description, HS code, port, country, and Bangladesh raw-cotton importers data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Value($) |
Importer Name |
|---|---|---|---|---|---|---|---|
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 11812.07 MTR | India | Custom House, Benapole | 3203.36 | 32483.2 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40088.16 MTR | India | Custom House, Benapole | 10870.36 | 80176.32 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40079.10 MTR | India | Custom House, Benapole | 10864.32 | 80158.19 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 42072.05 MTR | India | Custom House, Benapole | 11195.09 | 84144.09 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 26232.40 MTR | India | Custom House, Benapole | 7056.59 | 52464.78 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 38868.01 MTR | India | Custom House, Benapole | 8856.08 | 77736.04 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40120.18 MTR | India | Custom House, Benapole | 10876.83 | 80240.37 | Importer Name |
| 2024-04-22 00:00:00 |
60041000
|
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40044.68 MTR | India | Custom House, Benapole | 10857.1 | 80089.37 | Importer Name |
| 2024-04-04 00:00:00 |
60041000
|
87% COTTON 13% SPANDEX KNIT DYED FAB.= 9,789.59 MTRS | India | Custom House, Benapole | 3661.76 | 48066.88 | Importer Name |
| 2024-04-04 00:00:00 |
60041000
|
KNITTED FABRIC 57.5% COTTON 37.5% POLY 5% SPANDEX SOLID | India | Custom House, Benapole | 1222.19 | 6500.48 | Importer Name |
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 11812.07 MTR
3203.36
32483.2
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40088.16 MTR
10870.36
80176.32
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40079.10 MTR
10864.32
80158.19
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 42072.05 MTR
11195.09
84144.09
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 26232.40 MTR
7056.59
52464.78
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 38868.01 MTR
8856.08
77736.04
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40120.18 MTR
10876.83
80240.37
2024-04-22 00:00:00
95% BCI COTTON 5% SPANDEX KNITTED DYED FABRIC = 40044.68 MTR
10857.1
80089.37
2024-04-04 00:00:00
87% COTTON 13% SPANDEX KNIT DYED FAB.= 9,789.59 MTRS
3661.76
48066.88
2024-04-04 00:00:00
KNITTED FABRIC 57.5% COTTON 37.5% POLY 5% SPANDEX SOLID
1222.19
6500.48
The database includes shipment-level information such as shipment date, HS code, product description, quantity, value, port details, country of origin & destination, & importer-exporter information for accurate trade analysis of products under HS code 60 for Bangladesh raw-cotton imports from Thailand via Port Custom-house,-benapole.
Port Custom-house,-benapole typically refers to a port that is used for handling and forwarding shipments into Bangladesh, making it important for tracking inland and cross-border trade flows.
It helps businesses understand sourcing patterns, evaluate supplier performance, track pricing trends, and identify demand for raw-cotton products, enabling better decision-making for trade and market expansion for Bangladesh raw-cotton imports from india under HS code 60 via Port Custom-house,-benapole.
Businesses can identify key importers, evaluate supplier competitiveness, track pricing trends, and analyze demand for specific rubber products to make strategic sourcing and expansion decisions.
Importers, exporters, traders, manufacturers, and market analysts can use this data to understand trade patterns, optimize supply chains, identify potential partners, and gain a competitive advantage in the raw-cotton market.
