In this project, a Soil Quality Index (SQI) was constructed from SSURGO edaphic data. The process included data cleaning and cleaning, imputation of missing values, normalization of key edaphic variables (pH, bulk density, organic matter, cation exchange capacity, base saturation and texture), and integration of these into a composite index. Finally, the SQI was linked to spatial geometries for its application as a predictor variable in regression models and spatial analysis.