Description
This Alberta Official Statistic describes the highest level of educational attainment among the population (25 to 64 years of age) in 2011. The population is divided into larger urban centres and rural and small town areas. Within rural and small town Alberta, the population is divided into four categories according to integration with urban economies. The four categories are called Metropolitan Influence Zones (MIZ) and capture urban integration by measuring the percentage of the working population commuting to urban centers.
Updated
June 25, 2015
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Resources
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CSV
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Alberta Official Statistic Visualization
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Title and Dataset Information
Date Modified
2015-06-25
Update Frequency
Every 5 years
Publisher / Creator Information
Creator
Publisher
Agriculture and Forestry
Subject Information
Topic
Start Date
2011-05-10
End Date
2011-05-10
Resource Dates
Date Created
2015-05-13
Date Added to catalogue
2015-05-13T19:26:09.155209
Date Issued
2013-05-28
Date Modified
2015-06-25
Audience information
Language
Identifiers
Usage / Licence
Usage Considerations
Highest certificate, diploma or degree is a derived variable obtained from the educational qualifications questions, which asked for all certificates, diplomas and degrees to be reported. The general hierarchy used in deriving this variable is loosely tied to the ‘in-class’ duration of the various types of education.
The NHS provides information that is used by governments, businesses, researchers and individual Canadians to shed light on issues of concern to all of us.
As with any voluntary survey, non-response bias may be a significant source of error. The risk of bias increases as response rate drops because non-respondents tend to have different characteristics than respondents, compromising the ability of the survey results to represent the actual population.
Although the content of the NHS is similar to that of the 2006 long form Census questionnaire, the shift from a mandatory to a voluntary survey, and some content changes, can affect the comparability of the data over time. As a result, users are cautioned when comparing NHS estimates with counts produced from the 2006 long form Census, especially for data involving small geographies.
For the 2011 NHS estimates, the global non-response rate (GNR) is used as an indicator of data quality. This indicator combines complete non-response and partial non-response into a single rate. A smaller GNR indicates a lower risk of non-response bias and as a result, lower risk of inaccuracy. The threshold used for estimates' suppression is a GNR of 50% or more.
The other indicator used to measure data quality is the imputation rate. The imputation rate is the proportion of respondents who did not answer a given question or whose response is deemed invalid and for which a value was imputed. Imputation improves data quality by reducing the gaps caused by non-response.
Contact
Contact Name
Office of Statistics and Information
Contact Email
Contact Other
(780) 427-2071