Methodology Notes
Explains imputation, weighting, and sampling error procedures behind Census Bureau data with emphasis on transparency and reproducibility.
These notes detail how the Census Bureau handles nonresponse, including hot-deck imputation for missing housing or demographic characteristics and statistical adjustments applied during estimation. Each method is tied to its statutory and technical basis in Title 13 and Census Bureau methodological papers. Users learn when and why data may be flagged for imputation, and how to interpret weighted versus unweighted estimates.
Weighting strategies are explained across surveys—such as the American Community Survey—starting with base sampling weights and moving through post-stratification, nonresponse adjustment, and raking to known population controls. The documentation clarifies how these affect variance estimates and how to compute design effects. Analysts can use this to assess statistical reliability of their own derived statistics.
Sampling error quantification is presented using standard errors and margins of error published with ACS estimates. The notes walk through how confidence intervals are constructed, how to combine estimates safely, and when to avoid computing ratios or proportions from estimated totals. This ensures that users understand the precision limits of published data before drawing conclusions.


