Measures taken to reduce the impact of business' or organization's most challenging obstacle when purchasing or selling interprovincially over the last 12 months, first quarter of 2026

33-10-1119 · Occasional · 2025 to 2025

as of March 18, 2026

This table has no honest default view — 2 choices define what it even shows

0 of 2 chosen

Business characteristics has no overall total in this table — pick a value to chart it.
Measures taken to reduce the impact of the business' or organization's most challenging obstacle when purchasing or selling interprovincially over the last 12 months 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

Measures taken to reduce the impact of the business' or organization's most challenging obstacle when purchasing or selling interprovincially over the last 12 monthspick to chart

7 bars · Percent

Chose to pursue fewer or no out-of-province opportunities

Changed suppliers

Increased selling price of goods or services

Hired or consulted a specialist

Purchased software to simplify processes

Measures taken to reduce the impact of the business' or organization's most challenging obstacle when purchasing or selling interprovincially over the last 12 months, other measure

The business or organization has not taken any measures to reduce the impact of its most challenging obstacle

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, Measures taken to reduce the impact of the business' or organization's most challenging obstacle when purchasing or selling interprovincially over the last 12 months.

Source: Statistics Canada

Open this table in R or Python

install.packages("cansim")
library(cansim)
get_cansim("33-10-1119")

# pip install stats-can
import stats_can

stats_can.zip_table_to_dataframe("33-10-1119")

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

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