Mental Health in the Workplace (2020-2024)

This dataset contains 10,000 records across 20 countries from 2020 to 2024, with 34 features related to workplace mental health indicators, stress factors, and employee well-being metrics. It is designed for ML applications predicting burnout risk and identifying workplace stressors.

Use Cases

• Predict employee burnout risk using demographic, workload, and environmental features
• Analyze stress factor correlations across industries and regions
• Train classification models to identify high-risk workplace conditions

Strengths

• 10,000 records providing robust statistical power
• 34 features per row enabling multidimensional analysis
• 跨 20 countries allowing cross-cultural comparisons
• Temporal coverage from 2020 to 2024 tracking pandemic-era trends

Limitations

• Self-reported data may contain response bias
• Limited clinical validation of mental health assessments
• Some missing values in sensitive variables

Provenance

Source

Kaggle platform

Collection Method

Aggregated from organizational surveys and public wellbeing reports

Time Range

2020 to 2024

Geography

20 countries across North America, Europe, and Asia