Sense of belonging to local community by gender and other selected sociodemographic characteristics

45-10-0053 · Occasional quarterly · July 2021 to October 2024

as of February 19, 2025

This table has no honest default view — 4 choices define what it even shows

0 of 4 chosen

Geography needs a choice here — pick a value to chart it.
Sociodemographic characteristics has no overall total in this table — pick a value to chart it.
Indicators has no overall total in this table — pick a value to chart it.
Statistics 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.

1 bars · unit set by another pickOnly one item at this level

9 bars · unit set by another pick

Indicatorspick to chart

3 bars · unit set by another pick

Very strong or somewhat strong sense of belonging to local community

Somewhat weak or very weak sense of belonging to local community

No opinion on sense of belonging to local community

Statisticspick to chart

6 bars · unit set by another pickMembers use different units

Percentage of persons

Lower bound of the 95% confidence interval, percentage of persons

Upper bound of the 95% confidence interval, percentage of persons

Number of persons

Lower bound of the 95% confidence interval, number of persons

Upper bound of the 95% confidence interval, number of persons

2 bars · unit set by another pick

This table has no single overall total — pick a value in each of: Geography, Sociodemographic characteristics, Indicators, Statistics. Statistics Canada does not publish a Canada-wide total for this — that's the source table's own shape, not a Vizchat gap.

Source: Statistics Canada

Open this table in R or Python

install.packages("cansim")
library(cansim)
get_cansim("45-10-0053")

# pip install stats-can
import stats_can

stats_can.zip_table_to_dataframe("45-10-0053")

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

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