U.S. flag

An official website of the United States government

Skip Header


2020 Census Data Quality

Ensuring Quality

Our goal for every census is to count everyone once, only once, and in the right place. Ensuring the quality of the census results is built into every step of conducting the census—from designing the census to collecting and processing the data.

Evaluating Quality

We continue to evaluate the quality of the census even after the data are released. To do so, we use several techniques to assess how well we conducted the census and also compare census results with other population measures. We get a fuller picture of the quality of the census by looking at operational quality metrics, assessments and evaluations, and comparisons to benchmarks.

We’re also committed to sharing what we know, when we know it, and have published these quality results here.

Operational Quality Metrics

One way we evaluate the quality of a census is looking at operational quality metrics. For the first time, we released a number of data quality indicators along with the first results from the 2020 Census.

Looking for an overview of the different operational metrics we use and what they tell us about the quality of census data? See the Introduction to Quality Indicators  post. More information is also available in the Frequently Asked Questions.

Quality Assessments

Another way that we evaluate the quality of the census is by conducting our own assessments and evaluations, as well as engaging external organizations for independent reviews. Results of this work serve as the background or basis from which the following census will be designed, tested, and implemented.

Comparisons to Other Ways of Measuring the Population

We also produce coverage measures that provide insight into the quality of the census and are used to determine how we can improve future censuses. Comparing the 2020 Census results to other sources of data enabled us to analyze differences. Differences could be the result of errors either in the census or in the other data sources. Some differences are simply the result of different ways of collecting or generating the data. The key is to determine if a difference is expected or plausible.

We generate coverage measures through the Demographic Analysis program and the Post-Enumeration Survey. These coverage measures are produced independent of the census and provide alternate estimates of the total population and number of housing units. We then compare these measures to census results.

Our Comparisons to Benchmarks as a Measure of Quality post presents further information about these estimates and how they are used to evaluate quality.

Related Information

Page Last Revised - November 12, 2024
Is this page helpful?
Thumbs Up Image Yes Thumbs Down Image No
NO THANKS
255 characters maximum 255 characters maximum reached
Thank you for your feedback.
Comments or suggestions?

Top

Back to Header
loading