Learn about the latest system updates, data releases, and educational opportunities on our data platform.





United States Census Bureau [ [link removed] ]





Data.census.gov Newsletter – December 2025

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Help Us Improve data.census.gov

One of the best ways you can help shape the future of data.census.gov is by participating in our usability sessions. These sessions give you the opportunity to share your experience and feedback directly with our team.

Your input plays a key role in helping us improve the site to enhance usability and better meet your needs.  

?? For more information: data.census.gov Usability Testing [ [link removed] ]

Thank you for helping us improve data.census.gov!

*Participate* [ [link removed] ]


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Featured Question

Which Statistical Weight Should I Apply in the Microdata Access Tool?

Because data in the Microdata Access Tool are based on survey samples, you must apply a statistical weight to make sure the data represent the overall population. In most cases, the site automatically applies a suggested weight using the first variable you selected.

The left panel of the table display allows you to make edits to:


* Change the statistical weight that is applied to your table
* Select unweighted counts. This tells you the number of survey responses each estimate is based on and is a useful data quality measure.

*When Would I Need to Change the Statistical Weight?*

Review the weight automatically applied to your custom table. When any variables used in the table have different suggested weights, you may need to manually change the weight to meet your data analysis needs.

*How Can I Find the Suggested Weight for Each Variable?*

We offer multiple ways to find the suggested weight for a variable:

1) Select a _single_ variable in the Microdata Access Tool. View the suggested weight for that variable in the URL, for example, wt=PWGTP for PUMS person weight. You may also click the Tables tab and see the weight in the left panel.

2) Explore microdata technical documentation on census.gov for the survey/program you are using.

3) Explore metadata for the variable in the application programming interface.

*Learn More* [ [link removed] ]


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Tips & Tricks of the Month

Did you know the American Community Survey (ACS) provides *Data Profiles* with a snapshot of your community all in one place? Tables pull together statistics on social, economic, housing, and demographic topics, making it easy to get the big picture at a glance. With the latest ACS release now available, you can quickly navigate to the profile that fits your needs and dive right in. 

?? Get started by exploring these popular tables:


* DP02: Selected Social Characteristics [ [link removed] ]
* DP03: Selected Economic Characteristics [ [link removed] ]
* DP04: Selected Housing Characteristics [ [link removed] ]
* DP05: Demographic and Housing Estimates [ [link removed] ]

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Upcoming Webinar

*?? data.census.gov News and Updates: December 2025*

Join us Thursday, December 18 for a webinar [ [link removed] ] highlighting the latest enhancements to data.census.gov, featuring our December 2025 release and a comprehensive review of the most significant improvements from throughout the year.

*Details* [ [link removed] ]


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December Workshops

Join us for a free virtual workshop to sharpen your data skills!

Finding Economic Data on data.census.gov and the API [ [link removed] ]

Basics of Using the Census Application Programming Interface (API) [ [link removed] ]

Data.census.gov Geography Essentials for Beginners [ [link removed] ]

Basics of Finding Data Using data.census.gov [ [link removed] ]

Advanced Usage of data.census.gov [ [link removed] ]

Making the Most of Mapping in data.census.gov [ [link removed] ]

Basics of Using the Microdata Access Tool in data.census.gov [ [link removed] ]

Finding American Community Survey Data [ [link removed] ]

*Register* [ [link removed] ]


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Featured Video

Getting Started with Your Search on data.census.gov [ [link removed] ]

*Getting Started with Your Search on data.census.gov [ [link removed] ]*

This video is the perfect starting point for newcomers to data.census.gov!

Learn about the different ways to search for data on the platform and get tips and tricks to help you get started.

*More Videos* [ [link removed] ]


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Recent Releases

November 20:

_2023 Annual Business Survey Company Summary [ [link removed] ]_

2023 Annual Business Survey Characteristics of Businesses [ [link removed] ]

2023 Annual Business Survey Characteristics of Business Owners [ [link removed] ]

2023 Annual Business Survey Module Business Characteristics [ [link removed] ]

2023 Nonemployer Statistics by Demographics Series (NES-D): Company Summary [ [link removed] ]

2023 Nonemployer Statistics by Demographics Series (NES-D): Owner Characteristics of Nonemployer Firms [ [link removed] ]

*More Releases* [ [link removed] ]


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??️ Get in Touch

Have questions or comments? Send us an email. <[email protected]> We value your feedback!

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About data.census.gov [ [link removed] ]

Data.census.gov [ [link removed] ] is the primary platform to access data and digital content from the U.S. Census Bureau. We continuously update data.census.gov [ [link removed] ] with new data from our most popular survey and programs, as well as system enhancements to improve your experience on the platform.

We’re here to help with your data needs:


* Visit our data.census.gov Resources page [ [link removed] ] for educational materials
* Learn about Microdata Access [ [link removed] ] and the Census Data API [ [link removed] ]
* Request a data.census.gov [ [link removed] ] training: 
[email protected]
* Request a training for your local area: [email protected] <[email protected]>
* Ask your questions: [email protected]

*Provide Feedback on data.census.gov [ [link removed] ]*

Your suggestions help determine future improvements we implement to make data.census.gov [ [link removed] ] work better for you!

*Send Feedback* <[email protected]>


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This is an official email from the U.S. Census Bureau. If you have any questions or comments, please contact us ([link removed] [ [link removed] ]).  
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