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View All Topics and Subtopics Index A to Z
Age and Sex Business and Economy Education Emergency Management / Disasters Employment Families and Living Arrangements Geography Health Hispanic Origin Housing Income and Poverty International Trade Migration/Geographic Mobility Population Population Estimates Public Sector Race Redistricting Research Voting and Registration
Explore data on data.census.gov View all data resources
Census Academy Combining Data Data Tools and Apps Datasets Developers Experimental Data Products Interactive Maps Mapping Files Profiles Related Sites Software Tables Training and Workshops Visualizations
Survey Help View all Surveys & Programs
2020 Census 2026 Census Test 2030 Census American Community Survey (ACS) American Housing Survey (AHS) Annual Business Survey (ABS) Annual Integrated Economic Survey (AIES) County Business Patterns (CBP) Current Population Survey (CPS) Economic Census Household Pulse Survey International Programs Metro and Micro Areas Population Estimates Population Projections Small Area Income and Poverty Statistics of U.S. Businesses Survey of Income and Program Participation (SIPP)
View all library resources Glossary
America Counts: Stories Audio Blogs By the Numbers Facts for Features Fact Sheets Infographics and Visualizations Photos Publications Spotlights Stats for Stories Training (Census Academy) Videos Working Papers

Data Analytics

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Data Analytics

Data Analytics is the process for analyzing sets of data in order to identify patterns and draw conclusions.  Data Analytics is used at the Census Bureau for a wide variety of research topics that examine the American people and economy and how our society is changing over time.  As more data becomes available, the Census Bureau is adapting to the need to analyze larger and more complex sets of data, using new techniques to extract the most information as possible from the data available.

Page Last Revised - October 8, 2021
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