Mental Health Survey Dataset (India)

This dataset contains anonymized responses from a mental health survey of 257 Indian young adults. The survey includes 30 Likert-type items assessing emotional well-being, sleep quality, social support, coping behavior, and self-harm ideation. Each item is scored on a 4-point scale (0–3), measuring symptom severity. A total score (0–90) was computed for each participant. Unsupervised K-Means clustering (K = 4) was used to generate four mental-health severity categories:• Low Risk• Mild• Moderate• Severe Psychometric analysis demonstrated good internal consistency (Cronbach’s α > 0.80), acceptable sampling validity (KMO > 0.70), and a 6-factor structure under Promax rotation. The dataset may be used for research on mental-health screening, factor-analysis studies, and machine-learning classification models. No personally-identifiable data are included. All participants provided informed consent.