With an undergraduate degree in mathematics (including internships in data science) and a current grad student, open access to easily formatted datasets is a lifesaver at the start of projects. As a result of this, below you will find a list of data with the corresponding webpages that were used to make the cleaned files. The code to get from the raw files to these cleaned versions is available upon request across a variety of languages.
Languages
R, Stata, SQL, GIS, Python, Julia, Latex
U.S. poverty estimates for all ages, percent in poverty (all ages), and median household income from the Small Area Income and Poverty Estimates (SAIPE) Program for the years 2000-2023.
Available Here
U.S. population estimates for years after the 2020 census at the county level, merged with housing price data, terrain ruggedness, soil productivity, climate characteristics, as well as distance to mountains, oceans, and aquifers.
Available Here