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The 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) includes detailed data tables on the following:
Subjects: Population counts and sex-by-age statistics for approximately 1,500 detailed racial and ethnic groups, such as German, Lebanese, Jamaican, Chinese, Native Hawaiian, and Mexican, as well as American Indian and Alaska Native (AIAN) tribes and villages like the Navajo Nation.
Geographies: Nation, state, county, places (cities and towns), census tracts, and American Indian/Alaska Native/Native Hawaiian (AIANNH) areas.
The amount of data available for the detailed racial and ethnic groups and AIAN tribes and villages depends on their population size within a specific geography. This approach allows the Census Bureau to produce as much detail as possible while ensuring strong confidentiality protections.
Each video below is accompanied by a PDF with step-by-step instructions.
User note: Data users should exercise caution when creating custom aggregations, and add or subtract as little as possible to minimize the accumulation of noise across counts.
In previously released 2020 Census data products (P.L. 94-171 Redistricting Data, the Demographic and Housing Characteristics File, and Demographic Profile), data generally become more accurate as you aggregate them. However, this is not the case when aggregating data in the Detailed DHC-A because of the way noise was infused in the data. More information is available in the technical documentation.
As with all Census Bureau data products, Detailed DHC-A data use disclosure avoidance methods to protect respondent confidentiality. To ensure that no one can link the published data to a specific person or household with any certainty, “statistical noise” — small, random additions or subtractions — was added to the 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. More information about the disclosure avoidance-related variability in the Detailed DHC-A is available in the blog below.
How statistical noise affects the data: