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**Title/Titre:** “Postal Code Conversion File Plus (PCCF+): How it works, when to use it, and how to use it” **Presenter/Présentateur(rice):** Lauren Pinault **Abstract/Résumé:** Postal codes are usually the only geographic attribute available to researchers who are working with administrative datasets. The Postal Code Conversion File products from Statistics Canada allow researchers to geocode postal codes and obtain Census geography, Health Regions, and other characteristics. This presentation will explain the limitations of using postal codes for geocoding, when to use the PCCF single link indicator vs. the PCCF+, and explain how the PCCF+ works and how to run the code. **Speaker Biography/Biographie du conférencier:** Lauren Pinault is a senior research analyst with the Health Analysis Division at Statistics Canada, where she specializes in environmental health. Her research interests include spatial epidemiology, air pollution epidemiology, and environmental justice. She completed a PhD at Brock University studying the environmental and social aspects of malaria ecology in the highlands of Ecuador. She also completed a Master’s degree in Forestry and Environmental Management at the University of New Brunswick, and her undergraduate degree in Biology at the University of Ottawa. [Presentation slides \[PDF\]][1] [Eng] // [Watch the recording \[mp4\]][2] [Eng] // [\[Transcript \[txt\]\]][3] Reference materials: *Accuracy studies* Saeeda Khan, Lauren Pinault, Michael Tjepkema and Russell Wilkins. [February 21, 2018]. Positional accuracy of geocoding from residential postal codes versus full street addresses. Health Reports 29(2). https://www150.statcan.gc.ca/n1/pub/82-003-x/2018002/article/54909-eng.htm Lauren Pinault, Saeeda Khan and Michael Tjepkema. [June 17, 2020]. Accuracy of matching residential postal codes to census geography. Health Reports 31(3). DOI: https://www.doi.org/10.25318/82-003-x202000300001-eng [1]: https://osf.io/pm2qn/ [2]: https://osf.io/7jvw9 [3]: https://osf.io/f9e45/