Indonesia Customs Import data under HS Code 55169300 via Port Marunda

Live import 55169300 Import data of Indonesia under the HS Code 55169300 via Port Marunda. Our Indonesia customs import data reports include date, value, quantity, product description, HS code, port, country, and Indonesia Importers data. This data helps businesses monitor trade activities for Indonesia imports under HS Code 55169300 via port Marunda, identify potential buyers or suppliers, and analyze market trends. With accurate and up-to-date insights, companies can make informed decisions and optimize their supply chain strategies.

Monthly and Annual Indonesia Import Trends of HS 55169300

Date

HS Code

Product Description

Origin Country

Unloading Port

QTY.

Value($)

Importer Name

2024-04-04 00:00:00
55169300
WOVEN-YARN DYED 73% R 25% P 2% SP China MARUNDA 5 89.42 Importer Name
2024-04-04 00:00:00
55169300
WOVEN-YARN DYED 73% R 25% P 2% SP China MARUNDA 5 89.42 Importer Name
2024-04-04 00:00:00
55169300
WOVEN-YARN DYED 73% R 25% P 2% SP China MARUNDA 8.2 125.19 Importer Name
2024-04-04 00:00:00
55169300
WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX China MARUNDA 5 88.27 Importer Name
2024-04-04 00:00:00
55169300
WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX China MARUNDA 5 88.27 Importer Name
2024-04-04 00:00:00
55169300
WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2%\nSPANDEX China MARUNDA 5.3 88.9 Importer Name
2024-04-04 00:00:00
55169300
WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2%\nSPANDEX China MARUNDA 5 88.9 Importer Name
2024-04-16 00:00:00
55169300
FABRIC HW210811-1278 (YARN DYED) WOVEN-YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX China MARUNDA 5.2 88.93 Importer Name

Shipment No. 1

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN-YARN DYED 73% R 25% P 2% SP

Origin Country

Unloading Port

QTY

5

Weight

89.42

Importer Name

Shipment No. 2

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN-YARN DYED 73% R 25% P 2% SP

Origin Country

Unloading Port

QTY

5

Weight

89.42

Importer Name

Shipment No. 3

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN-YARN DYED 73% R 25% P 2% SP

Origin Country

Unloading Port

QTY

8.2

Weight

125.19

Importer Name

Shipment No. 4

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX

Origin Country

Unloading Port

QTY

5

Weight

88.27

Importer Name

Shipment No. 5

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX

Origin Country

Unloading Port

QTY

5

Weight

88.27

Importer Name

Shipment No. 6

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2%\nSPANDEX

Origin Country

Unloading Port

QTY

5.3

Weight

88.9

Importer Name

Shipment No. 7

Date

2024-04-04 00:00:00

HS CODE

Product Description

WOVEN - YARN DYED 73% RAYON 25% POLYESTER 2%\nSPANDEX

Origin Country

Unloading Port

QTY

5

Weight

88.9

Importer Name

Shipment No. 8

Date

2024-04-16 00:00:00

HS CODE

Product Description

FABRIC HW210811-1278 (YARN DYED) WOVEN-YARN DYED 73% RAYON 25% POLYESTER 2% SPANDEX

Origin Country

Unloading Port

QTY

5.2

Weight

88.93

Importer Name

FAQs With Answers

The data provides shipment details such as import date, value, quantity, product description, HS code, port information, country of origin, and details of Indonesia-based importers.

It enables companies to monitor trade activities through Port marunda, analyze market trends, identify active buyers or suppliers, and understand product flow under HS Code 55169300.

Yes. The database offers recent or frequently updated information, ensuring businesses have current insights into HS Code 55169300 imports arriving through this port.

Absolutely. The database includes detailed importer information, allowing businesses to identify potential buyers or suppliers of HS Code 55169300 products entering Indonesia through this port.

Manufacturers, traders, importers, exporters, market researchers, and supply chain planners can use this data to make informed decisions, optimize trade strategies, and better understand port-specific trade movements.

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