Wisconsin Statewide Surveillance Data

Understanding Wisconsin women's experiences before, during, and after pregnancy

Public health surveillance is the continuous collection, analysis, and interpretation of health-related data. Surveillance data is important to help us identify trends and support public health program planning, policy development, and evaluation. 
Data can also be a starting point for discussions about factors contributing to disparities in birth outcomes.

The Lifecourse Initiative for Healthy Families works with the Wisconsin Department of Health Services and others to collect, analyze, and interpret data related to the health and well-being of pregnant women, mothers, babies, and families in our state. 

To take a closer look at data for the LIHF region and in the context of the LIHF initiative's focus areas, please visit the LIHF Data Briefs page.

For any questions about the data presented here, please contact godecker@wisc.edu.

 Wisconsin Infant Mortality Data, 2000-2015

The Wisconsin Interactive Statistics on Health (WISH) site contains data from a variety of sources about many health indicators in Wisconsin, including infant mortality. You can click the link below to download infant mortality data from 2000-2015 or visit the WISH infant mortality module yourself to find additional information.

Wisconsin PRAMS Data Tables, 2012-2013

The data tables below present results from the Wisconsin Pregnancy Risk Assessment Monitoring System (Wisconsin PRAMS) collected from 2012-2013. The data tables are organized into topic areas. Please click the links below to download the tables for each topic area.



Glossary of Data Terms

Surveillance system: a data collection method that provides regular, ongoing reports of health-related information.
Self-report: participants respond to survey questions and provide information about their own behaviors and experiences.
Sample: a systematic selection of people taken from a larger group ("the population").
Weighted data: when data are collected using a sample of a larger group, statistical methods are used to adjust the data to represent "the population" the sample was taken from in terms of characteristics such as age, race, ethnicity, and location.
P<.05, significant difference: statistical tests show that there is a measurable difference between two numbers that is unlikely to be due to chance (less than 5% likelihood).
95% confidence interval (CI): the range of values that it is likely to encompass the true value for a population ("we are 95% confident that the true value falls between 25% and 28%").
Suppressed value: a number could not be reported because there weren't enough people who responded to a question, or because the likelihood of inaccuracy was too high.