On this page:
Each video below is accompanied by a PDF with step-by-step instructions.
As with all Census Bureau data products, Detailed DHC-B data use disclosure avoidance methods to protect respondent confidentiality. It works by adding statistical noise—small, random additions or subtractions— to every published statistic to reduce the likelihood that characteristics about a specific person or household can be accurately inferred using any combination of the published data.
The Census Bureau worked closely with the data user community to implement these protections.
The 2020 Census is the first to be able to quantify disclosure avoidance-related variability because it uses a more sophisticated approach for disclosure avoidance. Detailed DHC-B presents disclosure avoidance variability similar to the 2020 Census Detailed DHC-A.
How statistical noise affects the data:
What to expect with the Detailed DHC-B:
Blog: Understanding the Detailed DHC-B
How disclosure avoidance protections work on the Detailed DHC-B:
Disclosure Avoidance and the 2020 Census: How SafeTab-H Works