Out of stock

SPECIFICATIONS

Name: Sexy Glossy Leggings For Women Transparent High Waist
Brand: Colombianshaper
SKU: 14:1052#Pink;200007763:201336100;5:100014065
Price: 36.54 USD
Availability: OutOfStock

Age: Middle Age

Brand Name: ZYNCUE

CN: Guangdong

Craft of Weaving: Tatting

Fabric Type: Broadcloth

Gender: Women

High-concerned chemical: None

Hip-Style: regular

Item Type: Leggings

Length(Bottoms): Ankle-Length

Material: Nylon

Model Number: leggings

Origin: Mainland China

Pattern Type: Solid

Place Of Origin: China (mainland)

Seam: seamless

Season: Spring/Summer

Spandex: Low Spandex(<10%)

Style: Sporty

Thickness: Thin

Waist Type: MID

Details:

*Tag Size:M-XL,Please make sure that these actual measurements will fit you. (1 inch=2.54cm)

Size Chart (1 inch=2.54cm)
Tag Size	M	L	XL
Length(cm)	86	90	94.0
Length(inch)	33.9	35.4	37.0
Waist(cm)	56-90	60-96	64-100
Waist(inch)	22-35.4	23.6-37.8	25.2-39.4
Hips(cm)	59-90	65-96	71-100
Hips(inch)	23.2-35.4	25.6-37.8	28-39.4
Measured before being stretched,known as Laid Flat Data, Please allow 1~2cm deviation

Recommended height and weight

M 160-165cm 45-55kg

L 165-175cm 55-65kg

XL 175-180cm 60-75kg

* Item Fabric:Nylon

* Item Color:White,Black,Red,Light purple,Gray,Pink,Brown,Green,Blue（As pictures show）

* Item Features:Women's Oil Glossy ,Leggings ,High Waist, Stretchy ,Skinny Pants ,Dance ,Yoga ,Training Pants

* Item Condition:Brand New

* Item Description:

1) Applicable gender:Female

2) Clothing Length:Regular

3) Elasticity:High Strech

4) Pattern:Solid color

5) Style:Sexy

6) Suitable season:All seasons

7) Application:Daily ,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.