What’s Actually Driving Food Insecurity Across California’s 58 Counties

1. 1Run a regression analysis using demographic data to identify correlations with food insecurity
2. 2Explore poverty rates and their impact on food insecurity across different counties
3. 3Investigate other socioeconomic factors that may contribute to food insecurity
4. 4Apply data visualization techniques to communicate findings to stakeholders
5. 5Compare the results with existing research on food insecurity to identify patterns and discrepancies

Data scientists and analysts working on social impact projects can benefit from this study to inform their own research and policy recommendations. County administrators can also use these insights to allocate resources effectively

💡 Poverty is the primary driver of food insecurity, but other factors may also play a significant role

💡 Poverty is a major driver of food insecurity in California, but what else is at play?