Import Database of Vietnam Imports Under HS Code 44072939 from Malaysia

Vietnam’s customs import data under HS Code 44072939 provides detailed insights into the imports of products of HS Code 44072939 from Malaysia. This data highlights key information such as the Shipment date, trade value, product specifications, quantity, origin port in Vietnam, destination port in Malaysia and the names of Vietnamese importing companies. By analyzing this data, businesses can track trade volumes, assess pricing trends, identify top companies, and monitor the flow of products imported under the HS code 44072939, from Vietnam to Malaysia

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Vietnam

Monthly and Annual Vietnam Import Trends of HS 44072939

Date

HS Code

Product Description

Origin Country

Custom Name

QTY.

Unit

Value($)

Importer Name
2024-04-04 00:00:00
44072939
 		KEMPAS Sawn KD SAWN TIMBER: 30MM X 60MM X 3'~6' (22.9618M3) Malaysia CCHQ Bien Hoa 22.96 MTQ 8531.90982 Importer Name
2024-04-04 00:00:00
44072939
 		KEMPAS Sawn KD SAWN TIMBER: 30MM X 60MM X 7'~9' (7.185M3) Malaysia CCHQ Bien Hoa 7.19 MTQ 3003.43994 Importer Name
2024-04-03 00:00:00
44072939
 		KEMPAS sawn wood has not been hardened, (Koompassia malaccensis) - thickness: 32mm, size: 60~120mmx600~3000mm, not in the Citation category, used to produce wood products, 100% new. Malaysia Saigon Port Authority Region I 162.84 MTQ 58273.8996 Importer Name
2024-04-23 00:00:00
44072939
 		Kempas sawn timber (Kempas Sawn Timber - KH name: Koompassia Malaccensis), untreated to increase hardness, 36mm thick * 68mm wide * long (609.6-2743.2)mm, (43bundles=14343pcs), (not within the dimension Cites), 100% new Malaysia Saigon Port Authority Region I 47.97 MTQ 28782 Importer Name

Shipment No. 1

Date

2024-04-04 00:00:00

HS CODE

44072939

Product Description

KEMPAS Sawn KD SAWN TIMBER: 30MM X 60MM X 3'~6' (22.9618M3)

Origin Country

Malaysia

Unloading Port

CCHQ Bien Hoa

QTY

22.96

Unit

MTQ

Value($)

8531.90982

Importer Name

Importer Name

Shipment No. 2

Date

2024-04-04 00:00:00

HS CODE

44072939

Product Description

KEMPAS Sawn KD SAWN TIMBER: 30MM X 60MM X 7'~9' (7.185M3)

Origin Country

Malaysia

Unloading Port

CCHQ Bien Hoa

QTY

7.19

Unit

MTQ

Value($)

3003.43994

Importer Name

Importer Name

Shipment No. 3

Date

2024-04-03 00:00:00

HS CODE

44072939

Product Description

KEMPAS sawn wood has not been hardened, (Koompassia malaccensis) - thickness: 32mm, size: 60~120mmx600~3000mm, not in the Citation category, used to produce wood products, 100% new.

Origin Country

Malaysia

Unloading Port

Saigon Port Authority Region I

QTY

162.84

Unit

MTQ

Value($)

58273.8996

Importer Name

Importer Name

Shipment No. 4

Date

2024-04-23 00:00:00

HS CODE

44072939

Product Description

Kempas sawn timber (Kempas Sawn Timber - KH name: Koompassia Malaccensis), untreated to increase hardness, 36mm thick * 68mm wide * long (609.6-2743.2)mm, (43bundles=14343pcs), (not within the dimension Cites), 100% new

Origin Country

Malaysia

Unloading Port

Saigon Port Authority Region I

QTY

47.97

Unit

MTQ

Value($)

28782

Importer Name

Importer Name

HS Code

Origin Country

Unloading Port

FAQs With Answers

It includes import date, trade value, product specifications, quantity, origin port in Malaysia, destination port in Vietnam, detailed information about importing companies, and more.

By studying this data, businesses can assess pricing trends, track trade volumes, identify major importers, and understand the flow of goods under HS code 44072939 entering Vietnam from Malaysia.

HS Code 44072939 covers a wide range of products. Analyzing imports under this code helps businesses understand market demand, supply patterns, and the competitiveness of imported products in Vietnam.

Yes. The data highlights both the origin ports in Malaysia and the destination ports in Vietnam, providing deeper insights into trade flow patterns for products under HS code 44072939.

Manufacturers, traders, market analysts, importers, and exporters use this data to understand bilateral trade dynamics, evaluate suppliers, and make informed, data-driven business decisions.

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