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ggr124_02

Course: GGR 124, Fall 2009
School: Toledo
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124Y1Y GGR - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE Date: October 30, 2002 Presenter: Laine G.M. Ruus, Data Library Service, UT <laine.ruus@utoronto.ca> Who collects data about us? Marketing and public opinion companies Banks and credit companies Government Data source considerations (quality) Protection/guarantee of privacy and confidentiality Changes and corrections Obligation to...

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124Y1Y GGR - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE Date: October 30, 2002 Presenter: Laine G.M. Ruus, Data Library Service, UT <laine.ruus@utoronto.ca> Who collects data about us? Marketing and public opinion companies Banks and credit companies Government Data source considerations (quality) Protection/guarantee of privacy and confidentiality Changes and corrections Obligation to publish/inform Government data collection: federal Canada Customs and Revenue Agency Citizenship and Immigration Canada Human Resources Development Canada Statistics Canada Government data collection: provincial Consumer and Business Services Registration Division Registrar General Branch Ministry of Health and Long-term Care Ministry of Transportation Statistics Canada data: Process-produced data (eg. births, deaths, marriages, imports, exports, etc.) Sample surveys (eg. monthly labour force survey, etc.) Census of population (100% sample) first conducted in 1666 every 10 years 1871-1951 every 5 years 1961-2001 (latest) First some concepts: what is Toronto? Greater Toronto Area (GTA) Toronto CMA (Statistics Canada definition) Metro Toronto (New incorporated municipality=1 census division) City of Toronto (Former incorporated municipality=1 census subdivision) Inner suburbs (5 census subdivisions) Census geography (Statistics Canada): Census metropolitan area (CMA) = urban core + labour watershed Census division (CD) = county Census subdivision (CSD) = municipality Census tract (CT) = neighbourhood Census products from Statistics Canada: Print products: dictionaries of census terms statistical profiles of census subdivisions & census tracts multivariate tables at large geographic levels (provinces, CMAs, census subdivisions) print maps Located in GOVT, 5th Floor, Robarts Library Census products from StatsCan (contd): Computer files: dictionaries of census terms (1996 and on) profiles of all major census geographies (1991 and on) multivariate tables for large and small geographic areas digitized maps (vector maps) Available from Data Library Service web pages: <http://www.chass.utoronto.ca/datalib/> This assignment is about: Interpreting statistics descriptive Analyzing change 1981-1996 By comparing statistics from 1981 and 1996 census of population Percentages Averages You have two choices: use the Excel or .csv files of subsets of 1981 and 1996 census profile data linked under Summary of resources at: <http://www.chass.utoronto.ca/datalib/classes/ggr124/ggr124_02.htm> find the statistics you need for the assignment from print sources (and databases) as outlined later in the same web page. Summary of points to look out for: Random rounding: all cells independently rounded up or down to a multiple of 5 Therefore, cells may not add up correctly 100% data vs 20% data: indicates which census questionnaire (short or long form) All statistics are weighted up to reflect 100% of the population Points to look out for (contd) Same information is not available in all censuses Some statistics available in the Excel/.csv files are not available in print Use appropriate base population in denominator when calculating percentages The bottom line: document your decisions. Points to look out for (contd): Label change is usually sign of definition change: ethnic origin: single versus multiple origins ethnic origin: British w/wo Irish occupation: SOC80 versus SOC91 place of birth versus immigrant population household versus dwelling income years versus inflation (cpi) LICO (low income cut off) Points to look out for (contd): Toronto the many: be aware of which Toronto you are describing Greater Toronto Area (GTA) Toronto CMA Metro Toronto City of Toronto Points to look out for (contd): Abbreviations: nie = not included elsewhere nle = not listed elsewhere LICO = low income cut-off and the last point is. When you use statistics in a paper, always cite your sources, print and computer files: Census of Canada, 1981: profile of census tracts [computer file]. Canada: Statistics Canada [producer and distributor], 1985 <http://www.chass.utoronto.ca/datalib/classes/ggr124/to81 ct_02.csv> Census of Canada, 1996: profile of census tracts [computer file]. Canada: Statistics Canada [producer and distributor], 1998. <http://www.chass.utoronto.ca/datalib/classes/ggr124/to96 ct_02.csv>
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Census of population, 1996Laine G.M. Ruus, Data Library Service, University of TorontoCensus of populations ss s sconducted every 5 years, since 1951 attempt to count 100% of population required by federal legislation self-administered questi
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