Business or organization expectations of how long supply chain obstacles will last, first quarter of 2025

33-10-0920 · Occasional · 2024 to 2024

as of February 28, 2025

This table has no honest default view — 3 choices define what it even shows

0 of 3 chosen

Business characteristics has no overall total in this table — pick a value to chart it.
Supply chain obstacles has no overall total in this table — pick a value to chart it.
Length of time expected to continue being an obstacle offers more than one statistic, with no default — pick a value to chart it.

What this table is broken down by — tap any row to change.

8 bars · Percent

Supply chain obstaclespick to chart

3 bars · Percent

Difficulty acquiring inputs, products or supplies from within Canada

Difficulty acquiring inputs, products or supplies from abroad

Maintaining inventory levels

Length of time expected to continue being an obstaclepick to chart

5 bars · Percent

Length of time expected to continue being an obstacle, less than 3 months

Length of time expected to continue being an obstacle, 3 months to less than 6 months

Length of time expected to continue being an obstacle, 6 months to less than 12 months

Length of time expected to continue being an obstacle, 12 months or more

Length of time expected to continue being an obstacle, unknown

13 bars · Percent

This table reports one period, so a chart here compares across a category instead of over time.

This table has no single overall total — pick a value in each of: Business characteristics, Supply chain obstacles, Length of time expected to continue being an obstacle.

Source: Statistics Canada

Open this table in R or Python

install.packages("cansim")
library(cansim)
get_cansim("33-10-0920")

# pip install stats-can
import stats_can

stats_can.zip_table_to_dataframe("33-10-0920")

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

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