Thank you, Chair.
Thank you for the opportunity to participate in the current discussion on extreme weather events in Canada, how these events impact Canadians and how they're captured with Canada's official statistics.
I'm here with my colleagues, Ryan MacDonald and Matthew Hoffarth.
At Statistics Canada, we're dedicated to delivering accurate and timely information on the socio-economic indicators that paint a portrait of Canadians' lives. From the census and health surveys to the consumer price index and our expansive macroeconomic accounts, we provide a clear view of Canada's socio-economic landscape to help inform decisions by policy‑makers, businesses and the public.
At the same time, we appreciate the complexity in comprehensively tracking the impacts, risks and costs related to extreme weather events.
Today, we're here to share some information on how extreme weather events are reflected in our economic statistics and to highlight research that integrates climate information with socio-economic outcomes.
Since 2020, Canada has experienced five years that have ranked in the top 10 for costliest years in Canadian history with respect to insurance claims from severe weather losses. Recent data shows that almost a quarter of households and 14% of businesses have been affected by a natural disaster or a weather-related emergency in the past year. These events can be extremely disruptive for individuals, families, businesses and communities.
However, measuring the impact of extreme climate events is not a straightforward task. It involves a multidisciplinary approach and a myriad of data sources, including financial, socio-economic, health hazard and geospatial information. While these data sources cannot fully convey the individual impact these events have on Canadians, they are critical to accounting for these events within official statistics.
When there's an extreme weather event, there are many impacts that are recorded both explicitly and implicitly within our statistical system. For example, Canadians lose wealth when property is damaged or destroyed. To replace this wealth, insurance companies cover the losses, which are shown as payments from insurers to households and businesses. The income and balance sheet for insurers and other businesses are reflected in our industry and sector statistics.
Homeowner insurance costs, which have largely outpaced the all-items CPI since 2020, are only one aspect related to climate events. Increased construction, consumption and debt related to the replacement of damaged property and the temporary or long-term displacement of individuals and businesses, all reflect the economic reality. There are lost wages for those who cannot work. There are increased wages for people such as first responders. Government expenditures may rise, given emergency support programs, supplies and health care costs.
Many impacts of extreme weather are felt immediately, while others are experienced later or continue over time. For example, there was a 4.9% higher incidence of lung cancer and a 10% higher incidence of brain tumours for people living within 50 kilometres of a wildfire in the past 10 years, compared to the unexposed population. Moreover, more than 200 excess deaths were attributed to extreme heat events in both Montreal and Toronto from 2000 to 2020.
There are also costs related to extreme climate events that are not clearly captured in our official statistics. For example, fires in remote areas have little measurable economic impact. However, even remote forests with no human habitation provide crucial ecosystem services to Canadians, such as carbon sequestration. Work on environmental accounts at Statistics Canada aims to value these services and more explicitly link the environment to the macroeconomy.
We know collaborative approaches across jurisdictions are vital to understanding the true impacts of natural disaster and extreme climate events. We're strengthening partnerships and building on our strengths, as we can, to deliver timely, detailed and relevant information to Canadians on this topic.
Thank you.