Canada Mortgage and Housing Corporation, housing starts in all centres 10,000 and over, Canada, provinces, and census metropolitan areas, seasonally adjusted at annual rates, quarterly

Name: Canada Mortgage and Housing Corporation, housing starts in all centres 10,000 and over, Canada, provinces, and census metropolitan areas, seasonally adjusted at annual rates, quarterly
Creator: Statistics Canada
License: https://www.statcan.gc.ca/en/reference/licence

34-10-0140 · Quarterly · January 1990 to April 2026

as of July 20, 2026

Housing starts in all centres 10,000 and over, Canada

Units, seasonally adjusted at annual rates, Canada

Chart: Vizchat

How this is computed ▸

Shows Q3 2016 – Q2 2026.

Shows the values exactly as Statistics Canada reports them, seasonally adjusted at annual rates.

This is quarterly data, shown at its native reporting frequency (never resampled to a different cadence).

View the data as a table ▸

Data for Housing starts in all centres 10,000 and over, Canada
Period	Value
Q3 2016	184K
Q4 2016	178K
Q1 2017	210K
Q2 2017	186K
Q3 2017	207K
Q4 2017	211K
Q1 2018	205K
Q2 2018	199K
Q3 2018	186K
Q4 2018	199K
Q1 2019	172K
Q2 2019	208K
Q3 2019	210K
Q4 2019	191K
Q1 2020	185K
Q2 2020	178K
Q3 2020	225K
Q4 2020	225K
Q1 2021	260K
Q2 2021	248K
Q3 2021	236K
Q4 2021	241K
Q1 2022	217K
Q2 2022	250K
Q3 2022	257K
Q4 2022	238K
Q1 2023	204K
Q2 2023	224K
Q3 2023	243K
Q4 2023	225K
Q1 2024	229K
Q2 2024	225K
Q3 2024	226K
Q4 2024	225K
Q1 2025	219K
Q2 2025	254K
Q3 2025	249K
Q4 2025	243K
Q1 2026	234K
Q2 2026	234K

A line chart — one «Quarterly» series at its native frequency, every point a real published value.

Source: Statistics Canada

Open this table in R or Python

install.packages("cansim")
library(cansim)
get_cansim("34-10-0140")

# pip install stats-can
import stats_can

stats_can.zip_table_to_dataframe("34-10-0140")

via the community cansim (R) and stats_can (Python) packages.

This code runs against Statistics Canada's own API, not Vizchat.