5407.51.00.20 - Flat fabrics (619)
Details
| Field | Value |
|---|---|
| Unit of Quantity | m², kg |
| General Rate of Duty | 14.9% |
| Special Rate of Duty | Free (AU,BH,CL,CO,IL,JO,KR,MA,OM,P,PA,PE,S,SG)
AU
🇦🇺
BH
🇧ðŸ‡
CL
🇨🇱
CO
🇨🇴
IL
🇮🇱
JO
🇯🇴
KR
🇰🇷
MA
🇲🇦
OM
🇴🇲
P
🇨🇷
🇩🇴
🇸🇻
🇬🇹
ðŸ‡ðŸ‡³
🇳🇮
PA
🇵🇦
PE
🇵🇪
S
🇨🇦
🇲🇽
SG
🇸🇬
|
| Column 2 Rate of Duty | 81% |
| Quota Quantity | N/A |
| Additional Duties | N/A |
Overview
This HTS category, 5407.51.00.20, specifically covers unbleached or bleached woven fabrics that are predominantly composed of synthetic filament yarn. The key defining characteristic is that these fabrics must contain 85 percent or more by weight of textured polyester filaments. Furthermore, to fall under this specific classification, the fabric must weigh no more than 170 grams per square meter. This designation applies to the raw, unfinished state of the fabric, either as it is produced without bleaching or after a bleaching process has been applied.
The distinction between this category and its sibling, 5407.51.00.40, lies in the specific description provided by the HTS. While both fall under "Unbleached or bleached" and "Weighing not more than 170 g/m²" within the broader classification of other woven fabrics containing 85% or more by weight of textured polyester filaments, the ".20" suffix denotes a specific type or application which is implicitly defined by exclusion from the ".40" (Other) category. Without further detailed subheadings at this level, it is understood that this category captures a distinct group of these unbleached or bleached, lightweight, textured polyester filament woven fabrics that do not fit the "Other" classification.
As this is a leaf node within the HTS structure, there are no further subcategories to introduce. The classification concludes at this level, meaning that any fabric meeting all the preceding criteria will be classified under 5407.51.00.20. Importers and exporters should carefully verify the material composition, weight, and processing state (unbleached or bleached) to ensure accurate classification.