Unmet Mental Health Needs Analysis | Statistics Canada (Volunteer)

Data Analysis Project: Unmet Mental Health Needs

I recently completed a data analysis project exploring access to mental health services using Canadian survey data.

In this project, I:

Cleaned and prepared raw data using Python (Pandas)

Transformed coded variables into meaningful categories (Age, Income, Gender)

Built an interactive dashboard using Power BI

Analyzed patterns and trends across different population groups

Key Insights:

Approximately 68% of respondents reported unmet mental health needs

Younger age groups (15–24) showed the highest levels of unmet needs

A clear trend shows that lower income is associated with higher unmet needs

Differences across gender highlight important gaps in access

The dashboard enables interactive exploration of unmet needs across demographics, helping identify vulnerable populations.

Data Source: Statistics Canada – Mental Health and Access to Care Survey (MHACS) (Public Use Microdata File)