Open Mental Health Survey 2014 | Exploratory Data Analysis |
Python · Pandas · Plotly · Scikit-Learn
Total Respondents
1,251
Tech industry professionals worldwide
Treatment-Seeking Rate
50.5%
Of surveyed respondents sought treatment
Top Predictor (RF)
Work Interfere
Highest importance — Random Forest model
Individual & Demographic Factors
Geographic Analysis
Workplace Culture & Employer Policy
Predictive Model — Random Forest Feature Importances
Key Findings
Treatment-seeking is near-even: ~50.6% of respondents have sought treatment,
indicating significant mental health burden across the tech industry.
Family history is the strongest predictor: Respondents with a family history
of mental illness seek treatment at markedly higher rates — the top feature in both
correlation and Random Forest analyses.
Work interference drives help-seeking: Those reporting that mental health
issues "Often" interfere with work are far more likely to have sought treatment,
suggesting crisis-point motivation rather than proactive care.
Employer benefits matter: Respondents at companies offering explicit mental
health benefits show higher treatment rates — visible policy support lowers barriers
to help-seeking.
Stigma suppresses disclosure: Fear of negative professional consequences
for disclosing a mental health issue is prevalent and correlates with avoidance of
treatment — workplace culture is a critical intervention point.
Geography reveals disparities: The US and Ireland lead in treatment-seeking
rates; the choropleth highlights that access and cultural norms vary significantly
across countries, pointing to systemic differences in mental healthcare adoption.