The US Census Bureau decided to adopt a differential privacy framework by adding noise to the 2020 Census data to improve the confidentiality of individual Census responses (1). To protect the collected data, random noise was added to the tabulated statistics, and the data and noise were stored together in a Noisy Measurement File (NMF). The NMF is critical for understanding biases in the Census data and for performing valid statistical inferences, as it potentially allows data users to adjust for the noise in their analyses. However, in 2021, the Census Bureau released only the final tabulated statistics that were produced after postprocessing the NMF (1). This postprocessing ensured the final published data met data consistency requirements (such as nonnegative population counts), but it may have also introduced systematic biases (2–7). The Census Bureau must provide data users access to the NMF in usable form to facilitate the wide array of use cases for Census data.