Live Silico Import data of Philippines imports from china under HS Code 83 via Port Manila-int'l-container-port , our Philippines customs import data reports include date, value, quantity, product description, HS code, port, country, and Philippines silico importers data
| Date |
HS Code |
Product Description |
Origin Country |
Custom Name |
QTY. |
Unit |
Weight |
Importer Name |
|---|---|---|---|---|---|---|---|---|
| 2024-11-05 00:00:00 |
83011000000
|
3058539 PADLOCK HEART SILICONE PINK 450 PIECES FLYING TIGER COPENHAGEN | CHINA | Manila Int'l Container Port | 41.25 | Kilogram | 418.68 | Importer Name |
| 2024-11-26 00:00:00 |
83014090000
|
BLOSSOM 9074003 BLOSSOM LOCK BC2925 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 7,344 PCS | CHINA | Manila Int'l Container Port | 510.53 | Kilogram | 2948.32 | Importer Name |
| 2024-11-26 00:00:00 |
83014090000
|
BLOSSOM 9074004 BLOSSOM LOCK BC2932 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 1,944 PCS | CHINA | Manila Int'l Container Port | 213.71 | Kilogram | 1170.65 | Importer Name |
| 2024-11-26 00:00:00 |
83014090000
|
BLOSSOM 9074005 BLOSSOM LOCK BC2938 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 2,304 PCS | CHINA | Manila Int'l Container Port | 355.1 | Kilogram | 1679.53 | Importer Name |
| 2024-11-26 00:00:00 |
83014090000
|
BLOSSOM 9076179 COATED LOCK 32MM BX0132 4.4% 89.035% + pp + 3.55% + 2.18% + 0.61% manganese silicon carbon + p + 0.15% s 0.075% 2,664 PCS | CHINA | Manila Int'l Container Port | 298.6 | Kilogram | 1885.67 | Importer Name |
| 2024-11-26 00:00:00 |
83014090000
|
BLOSSOM 9074006 BLOSSOM LOCK BC2950 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 540 PCS | CHINA | Manila Int'l Container Port | 152.19 | Kilogram | 638.95 | Importer Name |
2024-11-05 00:00:00
3058539 PADLOCK HEART SILICONE PINK 450 PIECES FLYING TIGER COPENHAGEN
41.25
Kilogram
418.68
2024-11-26 00:00:00
BLOSSOM 9074003 BLOSSOM LOCK BC2925 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 7,344 PCS
510.53
Kilogram
2948.32
2024-11-26 00:00:00
BLOSSOM 9074004 BLOSSOM LOCK BC2932 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 1,944 PCS
213.71
Kilogram
1170.65
2024-11-26 00:00:00
BLOSSOM 9074005 BLOSSOM LOCK BC2938 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 2,304 PCS
355.1
Kilogram
1679.53
2024-11-26 00:00:00
BLOSSOM 9076179 COATED LOCK 32MM BX0132 4.4% 89.035% + pp + 3.55% + 2.18% + 0.61% manganese silicon carbon + p + 0.15% s 0.075% 2,664 PCS
298.6
Kilogram
1885.67
2024-11-26 00:00:00
BLOSSOM 9074006 BLOSSOM LOCK BC2950 Iron 93.435%+ Carbon 3.55%+ Silicon 2.18%+ Manganese 0.61%+ Phosphorus 0.15%+ sulfur 0.075% 540 PCS
152.19
Kilogram
638.95
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 83 for Philippines silico imports from Thailand via Port Manila-int'l-container-port.
Port Manila-int'l-container-port typically refers to a port that is used for handling and forwarding shipments into Philippines, 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 silico products, enabling better decision-making for trade and market expansion for Philippines silico imports from china under HS code 83 via Port Manila-int'l-container-port.
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 silico market.
