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.

Other Subtopics Within 'Research'

Administrative Records

View information on Administrative Records for Research at the U.S. Census Bureau.

Behavioral Science Methods

The Center for Survey Measurement (CSM) conducts research on questionnaire design and evaluation.

Big Data

Learn how the U.S. Census Bureau is using new types of data and analysis to improve and strengthen our statistics.

Disclosure Avoidance

Learn more about areas of statistical disclosure control, confidentiality, and disclosure limitation.

Federal Statistical Research Data Centers

The Federal Statistical System Research Data Centers are partnerships between federal statistical agencies and leading research institutions.

General Economic Research

View information on General Economic Research at the U.S. Census Bureau.

Mortality Disparities in American Communities (MDAC)

Research database on 2008 American Community Survey respondents and a follow-up of mortality outcomes through 2015.

Paradata

View information on Paradata for Research at the U.S. Census Bureau.

Statistical Research

CSRM conducts research on statistical design, modeling, and analysis methods for the Census Bureau's data collection, analysis, and dissemination programs.

Time Series and Seasonal Adjustment

Seasonal adjustment is the estimation of the seasonal component, followed by their removal from the time series.