Individuals File, 2011 National Household Survey (Public Use Microdata Files) (99M0001X)

Logo: Individuals File, 2011 National Household Survey (Public Use Microdata Files)

The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.

Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.

Frequency: Occasional

Status: Ongoing/Available (DVD)

Releases

Title Release date More info
ARCHIVED – National Household Survey year 2011 July 29, 2014 More info

Related information

Surveys and methods
Subjects
Keywords
  • Census metropolitan areas, Community, Demography, Education, Expenditures, Families, Households, Housing, Immigration, Income, Labour, Languages, Learning, Pensions, Population, Provinces, Regression analysis, Territories, Training, Wealth
Contacts
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