Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers
Stay Comfortable and Fashionable with these Slim FIT Chino Trousers

Stay Comfortable and Fashionable with these Slim FIT Chino Trousers

Regular price$8.00
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Size
Color
Ships From
  • In stock, ready to ship
  • Backordered, shipping soon

Details:

*Tag Size:M-4XL,Please make sure that these actual measurements will fit you.

Size Chart (1 inch=2.54cm)

Tag Size

M

L

XL

2XL

3XL

4XL

Recommended Height (cm)

155-165

160-170

170-175

170-177

175-180

175-182

Recommended
Weight (kg)

45-50

50-60

60-70

65-75

70-80

80-90

Measured before being stretched,known as Laid Flat Data, Please allow 1~2cm deviation

* Item Fabric: fiber blends

* Item Color:Grey,Black,KhakiAs pictures show

* Item Features:Mens Pants,Casual Pants,Trousers,Simple,Pocket,Breathable,Outdoor,Sports,Soft,Daily,Business

* Item Condition:Brand New

* Item Description:

1) Applicable gender:Male

2) Length:Full Length

3) Type:Pants

4) Theme:Classic

5) Pattern:Solid

6)Applicable Scene:Daily

7)Brand:Unbranded

8)Season:Summer,Fall,Spring

9)Theme:Daily,Sports,Beach

10Theme:Sports

* Package Contents:1*Pants(Other items not included)

How to choose proper size?

1) Use garment compare with the sizes

2) Choose larger sizes if your sizes are same as the flat measurement size chart

Notes:

1, The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.

2, Please allow slight (±2Cm)manual measurement deviation for the data.


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