From Wikipedia, the free encyclopedia:
“Differential privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset. The idea behind differential privacy is that if the effect of making an arbitrary single substitution in the database is small enough, the query result cannot be used to infer much about any single individual, and therefore provides privacy.”
Census has been working on this issue for the past several years in advance of the release of the 2020 Census. Not everyone is happy with or in agreement with the decisions surrounding this issue. 16 states, including Utah, back Alabama's challenge to Census privacy tool:
If you rely on Census data for demographic analysis we would recommend keeping up on this issue.