Northern Policy Institute Community Accounts is now live and available to the public! As this is a new release, there may be occasional bugs encountered as we implement different features. If you encounter any issues, please contact us at data@northernpolicy.ca. Thank you!
NORTHERN ONTARIO'S COMMUNITY ACCOUNTS
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The Multi-Variable Regional Comparison Feature is designed for retrieving topics for different geographies to aid in making comparisons. Select any number of variables from a single table, and then specify your table options such as geography type, age group, or gender (if applicable). Results will be shown for all geographies of the selected type and can be easily exported to excel for further work.
Table Information
Selected account: Education, Literacy, Skills and Training
Selected table: Census 2021, 2016 and National Household Survey 2011: Highest Level of Schooling
Variables
Total population aged 15 years and over
No certificate, diploma or degree - Age 15 and over
High school diploma or equivalent - Age 15 and over
Postsecondary certificate, diploma or degree - Age 15 and over
Apprenticeship or trades certificate or diploma - Age 15 and over
College, CEGEP or other non-university certificate or diploma - Age 15 and over
University certificate or diploma below bachelor level - Age 15 and over
University certificate, diploma or degree at bachelor level or above - Age 15 and over
Bachelor's degree - Age 15 and over
University certificate, diploma or degree above bachelor level - Age 15 and over
The National Household Survey is the
replacement for Statistics Canada's long form census. The survey was
given to about 4.5 million households in Canada (about 30% of
households), and asked questions regarding Aboriginal peoples,
immigration, ethnocultural diversity, education, labour, mobility,
migration, income and housing.
Unlike the former long
form census survey the NHS is not mandatory, which could result in
non-response bias being introduced into the survey.Statistics Canada has
employed several techniques to minimize this bias, but it should still
be taken into account when interpreting this data.
Non-Response Bias
Non-response bias occours when those who respond to a survey have a
different set of characteristics than those who do not respond. For
example, if those with lower education levels are less likely to fill
out the census form, it may artificially inflate the education level of
the population.
Global Non-Response Rate
The global non-response rate (GNR) is a weighted measure of survey
non-response, calculated based on the number of households that did not
respond to the survey and the number of questions that respondents left
out. The GNR can be used as an indicator of data quality, with lower
values indicating more accurate data.
Geographies
with a GNR of higher than 50% were suppressed by Statistics Canada due
to concerns about data accuracy. If a geography has a GNR of 0, it means
that there was a response from all households surveyed, not necessarily
that the data is representative of all households in the geography.
NHS Suppression Standards
Suppress all data for a community if the Global non-reponse rate is greater than 50%.
Suppress income data if the population of the area is less than 250, or if there are less than 40 private households.
Cell values greater than 10 are randomly rounded to a multiple of 5. Values less than 10 are rounded to either 0 or 10.
Some data may have been suppressed due to data quality or privacy concerns.
Source:
Compiled by the Community Accounts Unit based on information provided from Statistics Canada, Census of Population, 2021 and 2016 and National Household Survey, 2011.
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