Data Notes
Understanding wealth and poverty is crucial to knowing if people can meet their basic needs. Many measures compare income to a certain level or look at the cost of living, especially related to housing expenses. One way we wanted to try and measure this was to, examine the percentage of adults who are behind on their rent or mortgage.
To gather the data, I utilized a Python script to scrape the Household Pulse Survey data from the Census Bureau’s FTP for Cycle 1 through Cycle 3 of 2024. I then combined the three panels together to reduce the margin of error for the state level estimates. I then visualized the data through Tableau.
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