Student Depression Detection Dataset

Description

# Dataset Overview The **Student Depression Dataset** is a survey-based dataset collected through Google Forms to examine factors associated with depression among students. The dataset contains responses from **4,464 students** and includes demographic, academic, social, economic, and health-related information. Its primary goal is to support research on student mental health and identify key factors influencing depression. The dataset consists of **13 features**, including **12 independent variables** and **1 target variable (Depression)**. It contains both numerical and categorical data, making it suitable for statistical analysis, data visualization, and machine learning applications. ### Key Features * **Demographic Information:** Gender, Age, Home Division * **Family and Social Factors:** Family Background, Relationship Status, Marital Status, Living Style, Friend Circle * **Academic Factors:** Current Semester, CGPA * **Health and Lifestyle Factors:** Health Condition, Cost Without Study * **Target Variable:** Depression (Yes/No) ### Dataset Characteristics * **Total Records:** 4,464 * **Number of Features:** 13 * **Data Type:** Mixed (Numerical and Categorical) * **Age Range:** 17–28 years * **Average Age:** 22.6 years * **Average CGPA:** 3.41 * **Depression Cases:** 1,201 (26.9%) * **Non-Depression Cases:** 3,263 (73.1%) ### Research Importance Depression has become a growing concern among students due to academic pressure, financial challenges, social isolation, and health-related issues. This dataset provides valuable insights into how these factors interact and contribute to students’ mental well-being. ### Potential Applications The dataset can be used for: * Depression prediction using machine learning models * Mental health risk assessment * Statistical and correlation analysis * Academic performance and well-being studies * Student counseling and intervention planning * Public health and educational research ### Conclusion The Student Depression Dataset offers a comprehensive representation of student life by combining demographic, academic, social, and health-related variables. With a clearly defined depression indicator and a large number of responses, it serves as a valuable resource for researchers, educators, and data scientists seeking to understand, predict, and address depression among students.

Steps to reproduce

Performing Questionnaire

Institutions

• International University of Business Agriculture and Technology

  Dhaka Division, Dhaka

Categories

Licence