Description
This Alberta Official Statistic describes the per capita health service providers in 2011. Per capita health service providers are the number of individuals working in medicine or health occupations per 1,000 people. 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. The categories are: Strong MIZ (where 30% to 49% of the workforce commutes to an urban core) Moderate MIZ (where 5% to 29% commute to an urban core) Weak MIZ (where 1% to 4% commute to an urban core) No MIZ (where there are no residents commuting to an urban core)
Updated
May 15, 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
2015-05-15
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
2015-05-13T19:26:13.418348
Date Issued
2013-05-28
Date Modified
2015-05-15
Audience information
Language
Identifiers
Usage / Licence
Usage Considerations
Note: To ensure a focus on the availability of health service providers for humans, 1,235 veterinarians and 1,530 veterinary technicians have been excluded.
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. Users are advised to consult the user guide and the reference materials provided by Statistics Canada to ensure appropriate use and analyses of NHS data.
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 (household) and partial non-response (question) 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. Users are advised to consult the National Household Survey User Guide, 2011 and other reference materials to ensure appropriate use and analyses of the data.
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