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  • Surveys and statistical programs – Documentation: 99-137-X
    Description:

    Statistics Canada has produced a hierarchical PUMF that relies on perturbation instead of suppression to protect data confidentiality. This paper describes the creation of this new type of PUMF for the Agency. The creation of this PUMF using data perturbation techniques, a first for Statistics Canada, was in many ways a research development project. In the process, ways were devised to avoid overlap with other PUMFs, to adapt and apply risk measures for a multitude of personal and household characteristics, and to carry out perturbations for related characteristics.

    Release date: 2015-12-10

  • Journals and periodicals: 99-014-X
    Description:

    This topic presents data on the income of individuals, families, and households of Canada for the year 2010, including the composition of income, earnings and low-income prevalence data. The data also include the family and household incomes of Canadians by characteristics, family structure, household type and geography, as well as the total income and earnings levels of certain population groups (e.g., immigrants). The composition of income includes market income and income from government sources, and presents detailed components.

    This topic also presents data on dwelling characteristics, including number of rooms and bedrooms, condition of dwelling, period of construction, condominium status, value of dwelling, and structural type of dwelling. Data on households are also presented, including household maintainer, housing tenure, housing subsidy, housing suitability and shelter costs.

    Analytical products

    Two analytical documents provide analysis on the key findings in the data, and are complemented with the short articles found in NHS in Brief and the data in the NHS Focus on Geography Series.

    Data products

    The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

    Release date: 2015-05-06
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  • Journals and periodicals: 99-014-X
    Description:

    This topic presents data on the income of individuals, families, and households of Canada for the year 2010, including the composition of income, earnings and low-income prevalence data. The data also include the family and household incomes of Canadians by characteristics, family structure, household type and geography, as well as the total income and earnings levels of certain population groups (e.g., immigrants). The composition of income includes market income and income from government sources, and presents detailed components.

    This topic also presents data on dwelling characteristics, including number of rooms and bedrooms, condition of dwelling, period of construction, condominium status, value of dwelling, and structural type of dwelling. Data on households are also presented, including household maintainer, housing tenure, housing subsidy, housing suitability and shelter costs.

    Analytical products

    Two analytical documents provide analysis on the key findings in the data, and are complemented with the short articles found in NHS in Brief and the data in the NHS Focus on Geography Series.

    Data products

    The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

    Release date: 2015-05-06
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 99-137-X
    Description:

    Statistics Canada has produced a hierarchical PUMF that relies on perturbation instead of suppression to protect data confidentiality. This paper describes the creation of this new type of PUMF for the Agency. The creation of this PUMF using data perturbation techniques, a first for Statistics Canada, was in many ways a research development project. In the process, ways were devised to avoid overlap with other PUMFs, to adapt and apply risk measures for a multitude of personal and household characteristics, and to carry out perturbations for related characteristics.

    Release date: 2015-12-10
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