The Correlation Between Median Household Income and Percent Positive COVID-19 Test Results by NYC Zip Code

While we’re all in the same storm searching for shelter, we’re not all in the same boat. From rowboats to superyachts, the quality of each family’s vessel is largely determined by a number of factors, including geography, household size, education level, income bracket, and healthcare accessibility.

Marwa Islam, Alexander Radu, Carter Le, Fiona Lin, Leslie Pelchor

For this research project, we chose to focus on median household income as new reports have emphasized this deviation from the beginning of the crisis. The household income of a family in New York City reflects a lot more than just how much money is earned every year. Household income frequently sheds a light on the amount of privilege, accessibility to resources, and collective education. Thus, it wouldn’t be surprising to see a correlation between family income and COVID-19 positive test rates.

 

 

 

 

Download a PDF of the poster here.

2 thoughts on “The Correlation Between Median Household Income and Percent Positive COVID-19 Test Results by NYC Zip Code

  1. Hi group! This was a very interesting and enlightening poster to read. Your research supports the findings found by media outlets I watch in that there is a negative correlation between increasing COVID-19 infection rates and average household income. I thought that it was very clever to analyze the results borough by borough and it is indeed interesting why Manhattan has the strongest correlation. Also, your research sparks future studies such as breaking down boroughs by neighborhoods and analyzing cases that way. Great work!

  2. Hi guys! Your research stems from a question that is significant for us as New Yorkers. I believe that although the results you found did not have as strong of an r-value as you predicted, there is still a lot to gain from this insight. This research also opens the floor for additional analysis of the city and the government’s response to Covid-19. For example, it may be interesting to study the impact of the public health measures taken by the city on zip codes with lower incomes. Overall this was a very interesting analysis to read, good job!

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