State Financial Health Metrics: Credit Score

I asked ChatGPT: Explain this chart in a simple manner, targeted for a general audience.

This chart shows the relationship between the median credit scores of residents in each U.S. state and the percentage of votes that Donald Trump received in the 2020 election.

Here’s a simple breakdown:

• Horizontal Axis (X-axis): Represents the percentage of votes that Donald Trump received in each state in the 2020 election.
• Vertical Axis (Y-axis): Represents the median credit score of residents in each state.
• Bubbles: Each bubble represents a state. The size of the bubble may indicate additional data points, such as population size, though this is not explicitly explained in the chart.

Key Observations:

1. Higher Credit Scores in Blue States: States where Trump received a lower percentage of the vote tend to have higher median credit scores. For example, states like Vermont, Massachusetts, and New York have high credit scores and low Trump vote percentages.
2. Lower Credit Scores in Red States: States where Trump received a higher percentage of the vote tend to have lower median credit scores. States like Mississippi, West Virginia, and Alabama have low credit scores and high Trump vote percentages.
3. Outliers: The District of Columbia has a relatively low Trump vote percentage and a median credit score slightly below 720, standing out from other states.

Overall, the chart suggests a correlation between higher credit scores and states that voted less for Trump in the 2020 election, and lower credit scores in states that voted more for Trump.