Open Data

Percent of the Population with an Aboriginal Identity, Rural and Small Town Alberta


This Alberta Official Statistic describes the percentage of the population that reported having an Aboriginal identity in 2011. The population is divided into larger urban centres and rural and small town areas. Within the larger urban centres, the population is divided between Census Metropolitan Areas (CMA) and two different sizes of Census Agglomerations (CA). Within rural and small town Alberta, the population is divided into four categories with each category consecutively representing less 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)


May 15, 2015

AOS Aboriginal Identity Population Alberta Official Statistics

Title and Dataset Information

Alternative Title

Aboriginal Rural Population

Date Modified


Update Frequency

Every 5 years

Publisher / Creator Information


Agriculture and Forestry

Subject Information

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End Date


Resource Dates

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Date Added to catalogue


Date Issued


Date Modified


Audience information


Usage / Licence

Usage Considerations

Aboriginal identity refers to whether the person reported being an Aboriginal person, that is, First Nations (North American Indian), Métis or Inuk (Inuit) and/or being a Registered or Treaty Indian (that is, registered under the Indian Act of Canada) and/or being a member of a First Nations or Indian Band.

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.

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.


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Office of Statistics and Information

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