Womens Wide Leg Lounge Pants High Waisted Drawstring Casual Loose Palazzo Trousers with Pockets


  • Product Code: B0CKT4D1F3
  • Availability: In Stock

  • $23.00
  • Ex Tax: $23.00

Available Options


About this item

  • The cropped pants no matter sport or for work, make you look elegant and charming. They have a high waist with an elastic waistband and a drawstring. Good amount of stretch at the waist, and very comfortable to wear. Women casual pants, wide leg, tie knot front, two side pockets, easy to pull on, solid color, loose fitting. Side slits and casual style make them more stylish than most pull on pants.This paperbag pants for women look great.
  • Convenient Side Pockets: The pockets are practical and cute, deep and roomy enough to hold your hands, phone, wallet, keys, etc. You can free your hands without carrying a bag. If you're tired of tiny pockets that won't fit your stuff, these women pants are perfect for you.
  • Match: You can easily dress it down with crop vest, t shirts, bodysuit, or cover up, lace-up sandals, or dress it up with an casual outerwear and sneakers for an effortlessly chic look that will make heads turn wherever you go.
  • These lightweight and flowy wide leg pants are the ultimate summer staple. Ideal for both casual and dressy occasions, they offer endless styling possibilities. Whether you have a romantic date night planned or need something comfortable for work or school, these women capris have got you covered. Pants for women also perfect for your upcoming trips and beach vacations, ensuring you stay stylish and comfortable throughout.
  • Careful Maintenance: To maintain your trousers vibrant color, we recommend Machine wash with laundry bag in gentle cycle or hand wash with cold water, hang to dry. Iron at low temperature to restore that perfect flowy look.
Top Size
M
L
XL
XXL
XXXL
Chest/cm
100-102
104-106
108-110
112-114
116-118
Bottom Size
M
L
XL
XXL
XXXL
Waist/cm
72-77
77-82
82-87
87-92
92-97

Due to different measurement methods, there will be a 1-2 cm deviation in the data.

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