💡 Key Takeaways

  • Access 35 records in multiple formats.
  • Download data in Excel, CSV, or PDF format.
  • Use ISO codes for easy integration with other systems.

📋 ข้อมูลทั้งหมด

Showing 20 of 35

⚠️ Showing first 20 of 35 records. Download the file for complete data.

Category Size (Letter) Size (Number) Chest (cm) Chest (in) Waist (cm) Waist (in) Region
Men TopsXS3481-8632-3466-7126-28US/UK
Men TopsS3686-9134-3671-7628-30US/UK
Men TopsM3891-9736-3876-8130-32US/UK
Men TopsL4097-10238-4081-8632-34US/UK
Men TopsXL42102-10740-4286-9134-36US/UK
Men Tops2XL44107-11242-4491-9736-38US/UK
Men Tops3XL46112-11744-4697-10238-40US/UK
Men Tops4XL48117-12246-48102-10740-42US/UK
Men PantsXS28--71-7428-29US/UK
Men PantsS30--76-7930-31US/UK
Men PantsM32--81-8432-33US/UK
Men PantsL34--86-8934-35US/UK
Men PantsXL36--91-9436-37US/UK
Men Pants2XL38--97-9938-39US/UK
Men Pants3XL40--102-10440-41US/UK
Women TopsXS276-8130-3258-6123-24US
Women TopsS481-8632-3461-6624-26US
Women TopsM886-9134-3666-7126-28US
Women TopsL1291-9736-3871-7628-30US
Women TopsXL1497-10238-4076-8130-32US

🔧 Use Cases

  • Import the CSV file into your database or use it with Python/pandas for data analysis.
  • Open the Excel file to filter, sort, and create Pivot Tables for quick insights.
  • Print the PDF version for offline reference or classroom handouts.
  • Use the data to build applications, dashboards, or educational resources.
Source: Various sources Last updated: 2025-12-28