Welcome to the Health Statistics & Data Guide!
Finding relevant health statistics and data is a challenging task. To help you with this process, we have compiled some print and online resources that will be useful for finding data on a wide variety of health topics.
Health statistics and data include vital statistics, mortality, disease incidence and distribution, and data on health care professionals, health care utilization, costs, and services. The field of epidemiology makes use of health statistics to study the occurrence, patterns and causes of diseases in a population.
For further assistance, please contact AskGerstein or the Map & Data Library.
|Data||“Factual information...used as a basis for reasoning, discussion or calculation” (Merriam-Webster)|
Social survey data
Geospatial data is data that contains information about a physical location that can be represented numerically in a coordinate system. Geospatial data are often stored in specialized file formats, for example: Shapefile, Geodatabase, or GeoPackage.
Geospatial data is often used in conjunction with health or demographic data. For example, you might find a table of data for each neighbourhood within a particular city. If you can find a geospatial data file representing neighbourhood boundaries, then you can join the two files together in order to map you data by neighbourhood.
This guide has a section on finding geospatial data.
Not all data sources are created equal. This guide recommends some high-quality data sources, but you'll also find other statistics and data on websites when you search Google. It is important to be able to critically evaluate the quality of the information you find. For an interactive tutorial on assessing the quality of health information found on the Web, view the tutorial Evaluating Internet Health Information from the National Library of Medicine.
Gerstein Science Information Centre
9 King's College Circle
Toronto, ON, M5S 1A5
About web accessibility. Tell us about a web accessibility problem.
About online privacy and data collection.
© University of Toronto. All rights reserved.