GGR 124Y1Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE

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GGR 124Y1Y - URBANIZATION, CONTEMPORARY CITIES
AND URBAN LIFE

• Date October 30, 2002
• Presenter Laine G.M. Ruus, Data Library Service,
  UT
• ltlaine.ruus_at_utoronto.cagt

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Who collects data about us?

• Marketing and public opinion companies
• Banks and credit companies
• Government

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Data source considerations (quality)

• Protection/guarantee of privacy and
  confidentiality
• Changes and corrections
• Obligation to publish/inform

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Government data collection federal

• Canada Customs and Revenue Agency
• Citizenship and Immigration Canada
• Human Resources Development Canada
• Statistics Canada

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Government data collection provincial

• Consumer and Business Services
• Registration Division
• Registrar General Branch
• Ministry of Health and Long-term Care
• Ministry of Transportation

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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)

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First some concepts what is Toronto?

• Greater Toronto Area (GTA)
• Toronto CMA (Statistics Canada definition)
• Metro Toronto
• (New incorporated municipality1 census division)
• City of Toronto
• (Former incorporated municipality1 census
  subdivision)
• Inner suburbs (5 census subdivisions)

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Census geography (Statistics Canada)

• Census metropolitan area (CMA)
• urban core labour watershed
• Census division (CD) county
• Census subdivision (CSD) municipality
• Census tract (CT) neighbourhood

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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

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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
• lthttp//www.chass.utoronto.ca/datalib/gt

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• This assignment is about
• Interpreting descriptive statistics
• Analyzing change 1981-1996
• By comparing statistics from 1981 and 1996 census
  of population
• Percentages
• Averages

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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
• lthttp//www.chass.utoronto.ca/datalib/classes/ggr1
  24/ggr124_02.htmgt
• find the statistics you need for the assignment
  from print sources (and databases) as outlined
  later in the same web page.

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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

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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.

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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)

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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

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Points to look out for (contd)

• Abbreviations
• nie not included elsewhere
• nle not listed elsewhere
• LICO low income cut-off

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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
  lthttp//www.chass.utoronto.ca/datalib/classes/ggr1
  24/to81ct_02.csvgt
• Census of Canada, 1996 profile of census tracts
  computer file. Canada Statistics Canada
  producer and distributor, 1998.
  lthttp//www.chass.utoronto.ca/datalib/classes/ggr1
  24/to96ct_02.csvgt