Work with interactive mapping tools from across the Census Bureau.
Collection of audio features and sound bites.
The Census Bureau packages data and information into easy-to-understand visuals.
Browse Census Bureau images.
Read briefs and reports from Census Bureau experts.
Watch Census Bureau vignettes, testimonials, and video files.
Read research analyses from Census Bureau experts.
Developer portal to access services and documentation for the Census Bureau's APIs.
Explore Census Bureau data on your mobile device with interactive tools.
Find a multitude of DVDs, CDs and publications in print by topic.
These external sites provide more data.
Download extraction tools to help you get the in-depth data you need.
Explore Census data with interactive visualizations covering a broad range of topics.
How we provide the best mix of timeliness, relevancy, quality, and cost for the data we collect.
Learn about other opportunities to collaborate with us.
Explore the rich historical background of an organization with roots almost as old as the nation.
Explore prospective positions available at the Census Bureau.
Explore Census programs targeted for particular needs.
Discover the latest in Census Bureau data releases, reports, and events.
The Census Bureau's Director writes on how we measure America's people, places and economy.
Find interesting and quirky statistics regarding national celebrations and major events.
Listen to audio files on fun facts, historical figures, and celebrations of the month.
Find media toolkits, advisories, and all the latest Census news.
See what's coming up in releases and reports.
The problem of disseminating tabular data such that the amount of information provided satisfies the public need while protecting individually identifiable data is a problem in all governmental statistical agencies. The problem falls into the category of Statistical Disclosure Control and provides many difficult policy and technical challenges for these agencies. In order to achieve the double mission of dissemination and confidentiality protection, the agencies must balance conflicting objectives. Traditionally, agencies have relied on selective suppression of sensitive cells. Because of the difficulty of suppressing optimally and the problems that may result from publishing tables with omitted cell values, new ideas have been proposed based on selective adjustment of cell values. One such method is "Controlled Tabular Adjustment" by Cox and Dandekar (2002). In this paper we discuss the theoretical, computational, and practical issues of these two approaches to Statistical Disclosure Control.