In Budget 2017, Statistics Canada received almost $40 million over five years to develop a new Canadian Housing Statistics Framework, in part to investigate the role of foreign homebuyers in the Canadian housing market and to understand the characteristics of residential properties and their owners that address affordability issues. As of its next data release on December 11, the Canadian Housing Statistics Program (CHSP) will include information about all residential properties in Nova Scotia, Ontario, and British Columbia, with property characteristics, like average assessment value, property type, and construction period. As was originally intended, the database also identifies whether or not property owners are residents of Canada. Over the next few years, the CHSP will expand to include new information about residential properties and their owners, with the intent that by 2022, the CHSP will provide a complete database of all residential properties in Canada.
Level of difficulty: Beginner
Date and Time: Tuesday, December 18, 2018 at 1:00-3:30pm EST
Anik Lacroix is the Assistant Director of Investment, Science and Technology at Statistics Canada. Her portfolio includes various housing related statistical programs like the Canadian Housing Statistics Program, New Building Permits, Construction Investment and Property Values. Anik studied Economics at Université de Montréal and has worked at Statistics Canada for 27 years in a variety of programs from environment and health, to digital economy, transportation and now housing and construction.
Robert Kopersiewich manages the Analysis, Dissemination and Outreach team for the Canadian Housing Statistics Program. Robert studied Economics at McGill University, where he used municipal tax data to analyze condo prices on Nun’s Island in Montreal. He also has a master’s degree from Western University, where he specialized in International Finance and Trade. Originally from Montreal, Robert has worked at Statistics Canada for 20 years, in a variety of programs from business and labour market analysis, to workforce analysis, and now housing.