Live Coffee Export data of Peru exports to united-states under HS Code 09 via Port Paita , our Peru customs export data reports include date, value, quantity, product description, HS code, port, country, and Peru coffee exporters data
Date |
HS Code |
Product Description |
Origin Country |
Unloading Port |
QTY. |
Unit |
Weight |
Exporter Name |
|---|---|---|---|---|---|---|---|---|
|
August 12, 2022 |
0901119000 |
VERDESACOS COFFEE BEANS X 69 KG FOR HUMAN CONSUMPTION |
UNITED STATES | PAITA |
37950 |
KG |
157918.53 |
Exporter Name |
|
August 5, 2022 |
0901119000 |
BULK GREEN COFFEE BEANS SUITABLE FOR HUMAN CONSUMPTION |
UNITED STATES | PAITA |
20000 |
KG |
95173.56 |
Exporter Name |
|
August 16, 2022 |
0901119000 |
GREEN COFFEE BEANS IN BIG BAG HUMAN CONSUMPTION |
UNITED STATES | PAITA |
20000 |
KG |
114991.94 |
Exporter Name |
|
August 5, 2022 |
0901119000 |
GREEN COFFEE BEANS washed arabica coffee BAGS HUMAN CONSUMPTION |
UNITED STATES | PAITA |
37950 |
KG |
200794.97 |
Exporter Name |
|
August 16, 2022 |
0901119000 |
GREEN COFFEE BEANS IN BIG BAG HUMAN CONSUMPTION |
UNITED STATES | PAITA |
20000 |
KG |
114991.94 |
Exporter Name |
|
August 20, 2022 |
0901119000 |
GREEN COFFEE BEANS IN 69 KG BAGS HUMAN CONSUMPTION |
UNITED STATES | PAITA |
18975 |
KG |
94122.64 |
Exporter Name |
|
August 5, 2022 |
0901119000 |
GREEN COFFEE BEANS OF WASHED PERU ARABICA COFFEE BAGS OF 69.00 KG NET EACH HUMAN CONSUMPTION |
UNITED STATES | PAITA |
19320 |
KG |
98389.2 |
Exporter Name |
|
August 20, 2022 |
0901119000 |
GREEN COFFEE BEANS PERU ARABICA W GREEN COFFEE BEANS JUTE BAGS OF 69 KGS EACH ONE HUMAN CONSUMPTION |
UNITED STATES | PAITA |
18975 |
KG |
103515.06 |
Exporter Name |
|
August 5, 2022 |
0901119000 |
GREEN COFFEE BEANS OF WASHED PERU ARABICA COFFEE BAGS OF 69.00 KG NET EACH HUMAN CONSUMPTION |
UNITED STATES | PAITA |
19320 |
KG |
99498 |
Exporter Name |
|
August 16, 2022 |
0901119000 |
ORGANIC GREEN COFFEE BEANS FOR HUMAN CONSUMPTION IN BIG BAGS |
UNITED STATES | PAITA |
20000 |
KG |
96606.56 |
Exporter Name |
2022-08-12 00:00:00
VERDESACOS COFFEE BEANS X 69 KG FOR HUMAN CONSUMPTION
37950
KG}
157918.53
2022-08-05 00:00:00
BULK GREEN COFFEE BEANS SUITABLE FOR HUMAN CONSUMPTION
20000
KG}
95173.56
2022-08-16 00:00:00
GREEN COFFEE BEANS IN BIG BAG HUMAN CONSUMPTION
20000
KG}
114991.94
2022-08-05 00:00:00
GREEN COFFEE BEANS washed arabica coffee BAGS HUMAN CONSUMPTION
37950
KG}
200794.97
2022-08-16 00:00:00
GREEN COFFEE BEANS IN BIG BAG HUMAN CONSUMPTION
20000
KG}
114991.94
2022-08-20 00:00:00
GREEN COFFEE BEANS IN 69 KG BAGS HUMAN CONSUMPTION
18975
KG}
94122.64
2022-08-05 00:00:00
GREEN COFFEE BEANS OF WASHED PERU ARABICA COFFEE BAGS OF 69.00 KG NET EACH HUMAN CONSUMPTION
19320
KG}
98389.2
2022-08-20 00:00:00
GREEN COFFEE BEANS PERU ARABICA W GREEN COFFEE BEANS JUTE BAGS OF 69 KGS EACH ONE HUMAN CONSUMPTION
18975
KG}
103515.06
2022-08-05 00:00:00
GREEN COFFEE BEANS OF WASHED PERU ARABICA COFFEE BAGS OF 69.00 KG NET EACH HUMAN CONSUMPTION
19320
KG}
99498
2022-08-16 00:00:00
ORGANIC GREEN COFFEE BEANS FOR HUMAN CONSUMPTION IN BIG BAGS
20000
KG}
96606.56
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 09 for Peru coffee imports from Thailand via Port Paita.
Port Paita typically refers to a port that is used for handling and forwarding shipments from Peru, 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 coffee products, enabling better decision-making for trade and market expansion for Peru coffee exports from united-states under HS code 09 via Port Paita.
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 coffee market.
