Bibliothèque complète

Over the past 15 years, the Official Languages Branch (Canadian Heritage) Research Team has produced a number of statistical profiles on official language minority communities (OLMCs). This work is part of a larger initiative entitled Communities in Context, which seeks to educate Canadians and public policy makers on the challenges facing OLMCs. Throughout all these data analysis exercises, one element has remained central to our approach, namely, the capacity to contextualize the regional realities of members of OLMCs. The socioeconomic profile of minority Francophones varies considerably across regions in Canada. The economic development context of a maritime region differs greatly from that of a region whose economy is largely influenced by oil sands development. Consequently, one profile encompassing all these communities could not adequately reflect these regional realities. Dashboard Project To increase efficiency and effectiveness, we decided to put the data on OLMCs in one location. Using the tools available through our access to ESRI Canada’s ArcGIS Online platform, we began developing a web interface that would compile and share a series of indicators drawn from 2016 Census of Canada data and other sources. To guide us in developing this interactive tool, we based our approach on a series of fundamental principles, for instance, the clarity of concepts used and simplicity of the design. In 2021, we finished developing the Official Language Minority Communities Dashboard. It incorporates some of the elements of our previous projects and, using a simple, attractive interface, effectively presents numerous indicators developed using 2016 Census of Canada data for all 76 economic regions in Canada. An update of data from the 2021 Canadian Census was completed in December 2024. This interactive tool allows users to select the region they are interested in using the drop‑down menu in the upper right corner of the screen. Once they have selected the region, the dashboard information updates automatically. General indicators, displayed with visual elements, assist in navigating and interpreting the data.