Spending vs Scores
Advocating for equitable education through funding reform, teacher incentives, technology access, and accountability.
Python,
PowerBI
Analyzed state-level education spending and student performance data using Python in Jupyter Notebook and Power BI. The analysis shows that higher spending does not always correlate with better student performance. Outcomes are shaped by factors beyond funding, including targeted programs and equity-focused initiatives. Disaggregated data reveal achievement gaps, highlighting the impact of strategic investments on supporting all learners.
The Problem
Does more spending on education actually lead to better student performance over time?
Key Insights
- Spending rose steadily, but overall student scores didn't rise proportionality.
- Correlation at national level is weak, but varies by state.
- High spending is not a predictor of top outcomes.
- PPE: Utah < DC > MA
- Scores: UT > DC; MA > DC
- Economic disadvantages remains a strong predictor of lower scores.
