Understanding Shovels' Resident Data
How Shovels assembles and validates resident demographic data
Shovels' resident data features like gender, age_range, and income_range come from multiple non-LinkedIn sources. We assemble data about individuals via common linkages between a person's name, workplace, personal address, and business or personal contact information. Our data compilation process uses consensus and observation date methodology to select the most likely and current data points for each individual. The data includes both directly observed information and modeled/probabilistic data. For complete details on our data schema, you can refer to our Universal Schema documentation.