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Student Wellbeing and Academic Success Survey Data
Mental Health & Wellness
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About
Data offers detailed demographic and academic insights relevant to student well-being, mental health, and academic success. It establishes a foundation for understanding the student population through key demographic details such as gender, age, and university affiliation. Academic trajectory is mapped using factors like degree level, major, academic year, and current CGPA, providing a clear snapshot of performance and field of study. Crucially, the data captures important indicators related to the frequency of experiencing depression, anxiety, feelings of isolation, and insecurity about the future. It also integrates significant stressors faced by students, including academic pressure, financial concerns, and the quality of social relationships, offering rich information for informing interventions and enhancing support services within the university environment.
Columns
The dataset contains 21 distinct variables covering multiple facets of student life and well-being:
- gender, age, university: Core identification and demographic details.
- degree_level, degree_major, academic_year, cgpa: Indicators of academic standing and progress.
- residential_status: Information on living arrangements (on or off-campus).
- campus_discrimination: Captures experiences related to discrimination, harassment, or bullying within the campus environment.
- sports_engagement, average_sleep: Lifestyle factors known to impact physical and mental health.
- study_satisfaction, academic_workload: Students' perception of their academic life and passion for their subject.
- academic_pressure, financial_concerns, social_relationships: Major stressors encountered by students.
- depression, anxiety, isolation, future_insecurity: Metrics recording the frequency of these mental health challenges.
- stress_relief_activities: Insights into coping mechanisms used by the students (e.g., Religious Activities, Online Entertainment).
Distribution
The data file is typically available in CSV format, named
MentalHealthSurvey new.csv. The dataset includes 21 columns and 87 valid records. Variables include categorical types (e.g., gender, university), boolean indicators (e.g., campus discrimination), and scaled measures (typically 1 to 5) reflecting frequency or satisfaction levels across the mental health and stress variables. All records are generally valid with no missing data observed across the variables.Usage
This data is ideal for informing interventions aimed at improving student support services and enhancing mental health resources. Researchers can leverage it to analyse how lifestyle factors intersect with academic performance and psychological well-being. It is valuable for identifying vulnerable student groups, understanding trends in mental health, and promoting a healthier and more inclusive campus environment. Administrators can use the data to evaluate the impact of living arrangements and academic workload on overall student happiness and engagement.
Coverage
The demographic scope primarily covers students at the Undergraduate level (98% of respondents). A high percentage of respondents are pursuing degrees in Data Science (47%) and Computer Science (39%). The student sample includes representation from universities such as PU (64%) and UET (11%). The ages of respondents range between approximately 17 and 26 years. Geographically and chronologically, the specific scope is tied to the timing and location of the original survey administration.
License
CC0: Public Domain
Who Can Use It
Intended users include:
- Researchers: To study the correlation between academic factors, lifestyle, and student mental health outcomes.
- Policymakers: To design targeted support services and higher education policies based on identified stressors.
- Institutional Administrators: To evaluate the quality of social relationships, assess the impact of academic workload, and develop specific campus interventions to enhance well-being.
Dataset Name Suggestions
- Student Wellbeing and Academic Success Survey Data
- University Mental Health Indicators
- Academic Performance and Stress Factors
- Higher Education Student Experience Metrics
Attributes
Original Data Source: Student Wellbeing and Academic Success Survey Data
QUALITY