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Resource Library
2020 Census Program Management: Processing the Count
2020 Census Program Management: Processing the Count
After concluding the count in October, the Census Bureau began processing the data. This includes:
- Finalizing all of the addresses that should be included in the census.
- Checking responses for duplicates to ensure that everyone is counted only once and in the right place.
- Coding and tabulating write-in responses.
- In rare instances, using a statistical method called imputation to account for missing data. This technique enables us to fill in missing information using what we already know about an address and its nearest, similar neighbor.
Protecting your responses is a critical part of this process.
We are now turning the data into anonymous statistics, ensuring that your personal information remains private—and that no one can be identified when the final data is released. To learn more about this process, visit How the Census Bureau Protects Your Data.
2020 Census Data Quality
We check the quality of our work every step of the way. When we release data, we make sure they meet our quality standards.
Disclosure Avoidance Modernization
All 2020 Census data products (with the exception of the apportionment data) will be protected with a new, modernized disclosure avoidance system.
Related Blogs
Random Samplings Blog
2020 Census Data Products: Next Steps for Data Releases
This blog provides an update on the schedule and next steps for the release of the Demographic Profile, the DHC, and the Detailed DHC product.
Random Samplings Blog
Upcoming 2020 Census Coverage Estimates
The U.S. Census Bureau released coverage estimates for the 2020 Census.
Random Samplings Blog
The Post-Enumeration Survey: Measuring Coverage Error
Although we undertake extensive efforts to accurately count everyone in the decennial census, sometimes people are missed or duplicated.
Random Samplings Blog
An Overview of Addressing Nonresponse Bias in the American Community Survey During the COVID-19 Pandemic Using Administrative Data
In this blog we will discuss an important modification to the American Community Survey (ACS)’s weighting procedures for the 2020 experimental data.
Random Samplings Blog
Using Demographic Benchmarks to Help Evaluate 2020 Census Results
One of the primary methods of evaluating the quality of a census is comparing the results to other population benchmarks.
Random Samplings Blog
Pandemic Impact on 2020 American Community Survey 1-Year Data
Analytical report detailing the decision to not release the standard 2020 1-year ACS data products.
Random Samplings Blog
2020 Census Program for Evaluations, Experiments, and Assessments
This blog describes the series of formal evaluations and assessments that measure different aspects of census operations and specific challenges.
Random Samplings Blog
Programa de Evaluaciones y Experimentos del Censo del 2020
Este blog describe la serie de evaluaciones formales que miden diferentes aspectos de las operaciones del censo y los desafíos.
Random Samplings Blog
Improvements to the 2020 Census Race and Hispanic Origin Question Designs, Data Processing, and Coding Procedures
This blog discusses how we improved the census questions on race and Hispanic origin, also known as ethnicity, between 2010 and 2020.
Random Samplings Blog
How We Complete the Census When Demographic and Housing Characteristics Are Missing
Although we strive to obtain all demographic and housing data from every individual in the census, missing data are part of every census process.
Random Samplings Blog
Censo del 2020: Métricas de calidad, Publicación 2
Este blog proporciona datos destacados del segundo grupo de métricas operacionales de calidad del Censo del 2020.
Random Samplings Blog
2020 Census Operational Quality Metrics: Release 2
Today we released the second round of 2020 Census operational quality metrics.
Random Samplings Blog
Adapting the American Community Survey Amid COVID-19
We adapted the American Community Survey amid the pandemic to keep both the nation informed, and our staff and the people who respond safe.
Random Samplings Blog
Comparisons to Benchmarks as a Measure of Quality
Data quality is multidimensional and so approaching it from multiple angles produces a more insightful and holistic picture of a dataset.
Random Samplings Blog
Examining Operational Quality Metrics
The Census Bureau is taking a multifaceted approach to studying the quality of the 2020 Census, so as to produce a more complete and informative picture.
Random Samplings Blog
2020 Census Data Review
For the 2020 Census, we are conducting one of the most comprehensive reviews in recent census history.
Random Samplings Blog
Revisión de los datos del Censo del 2020
En este blog hablamos sobre cómo estamos realizando una de las revisiones de datos más completas en la historia reciente del censo, para el Censo del 2020.
Random Samplings Blog
Cómo completamos el censo cuando los hogares o alojamientos de grupo no responden
Mientras continuamos procesando las respuestas al Censo del 2020, las personas han preguntado qué sucede cuando no obtenemos una respuesta de una dirección.
Random Samplings Blog
How We Complete the Census When Households or Group Quarters Don’t Respond
As we continue to process 2020 Census responses, people have asked what happens when we don’t get a response from an address.
Random Samplings Blog
Administrative Records and the 2020 Census
Each decade we are asked, “Why don’t you just use the information the government already has about me for the census? Why ask me again?”
Random Samplings Blog
Los registros administrativos y el Censo del 2020
Este blog describe cómo el Censo del 2020 usó los registros administrativos para contar a las personas que no respondieron.
Random Samplings Blog
Introduction to Quality Indicators: Operational Metrics
In the coming weeks, the U.S. Census Bureau will release the first set of results from the 2020 Census. Our goal for every census is to count everyone once, only once, and in the right place.
Random Samplings Blog
2020 Census Group Quarters
As we continue processing 2020 Census results, we’d like to provide more information on how we count people living in group quarters (GQs).
Random Samplings Blog
Encontrar ‘anomalías’ demuestra que los controles de calidad del Censo del 2020 funcionan
El 9 de marzo de 2021, la Oficina del Censo de los EE. UU. publicó un blog (en inglés) sobre las “anomalías” que encontramos al procesar los datos del Censo del 2020.
Random Samplings Blog
Finding ‘Anomalies’ Illustrates 2020 Census Quality Checks Are Working
We’re in the midst of data processing for the 2020 Census. As Acting Census Bureau Director Ron Jarmin acknowledged in a recent blog, we’ve discovered some “anomalies” along the way that we’re looking into and resolving.
Random Samplings Blog
Adaptación de las operaciones de campo para enfrentar desafíos sin precedentes
La oficina del Censo de los EE. UU. compartió información en una publicación de blog el 1 de marzo de 2021, acerca de cómo la realización de un censo es una tarea enorme, incluso en circunstancias ideales.
Random Samplings Blog
Adapting Field Operations to Meet Unprecedented Challenges
As we process census responses and analyze the quality of the 2020 Census, it’s helpful to look back at some of the unprecedented challenges we faced during this census.
Random Samplings Blog
Ensuring a Robust and Accurate Data Quality Analysis in the 2020 Census
Asking outside experts to review our work is standard operating procedure at the U.S. Census Bureau. It underscores our commitment to quality and transparency.
Random Samplings Blog
Timeline for Releasing Redistricting Data
We expect to deliver the redistricting data to the states and the public by Sept. 30, 2021.
Random Samplings Blog
Census Data Processing 101
Michael Thieme describes how census data processing works to ensure the census is accurate.
Directors Blog
2020 Census Processing Updates
I’m writing to provide an update on data processing for the 2020 Census.
Random Samplings Blog
Update on 2020 Census Data Processing and Quality
The Census Bureau has begun processing the data collected for the 2020 Census. Data collection for the decennial census is always a herculean task and 2020 was no exception.
Research Matters Blog
2018 Data Measures Automation in U.S. Businesses
Artificial intelligence (AI), robots, and other automation types are dramatically changing the way production occurs in U.S. businesses.
Research Matters Blog
Tech Stats Centralizes Data, Research and Measures Technology’s Impact on Economy
The U.S. Census Bureau has recently released Tech Stats that will centralize the location of data and research products that focus on advanced technologies, their use, and their impact on the U.S. economy and workforce.
Page Last Revised - November 24, 2021
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