GGR 124Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE - PowerPoint PPT Presentation

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GGR 124Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE

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Title: GGR 124Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE


1
GGR 124Y - URBANIZATION, CONTEMPORARY CITIES AND
URBAN LIFE
  • Date January 14, 2003
  • Presenter Laine G.M. Ruus
  • Data Library Service, UT
  • ltlaine.ruus_at_utoronto.cagt

2
Who collects data about us?
  • Marketing and public opinion companies
  • Banks and credit companies
  • Municipal government
  • Provincial government
  • Federal government

3
Data source considerations (quality)
  • Protection/guarantee of privacy and
    confidentiality
  • Obligation to publish/inform
  • Publication of changes and corrections

4
Government data collection federal
  • Canada Customs and Revenue Agency
  • Citizenship and Immigration Canada
  • Human Resources Development Canada
  • Statistics Canada

5
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)

6
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 (in CMAs only)
  • multivariate tables at large geographic levels
    (provinces, CMAs, census subdivisions)
  • print maps
  • Located in GOVT, 5th Floor, Robarts Library

12
Census products from StatsCan (contd)
  • Computer files, since 1961
  • dictionaries of census terms (1996 and on)
  • profiles of all major census geographies (1981
    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

13
  • This assignment is about
  • Interpreting descriptive statistics
  • Analyzing change 1981-1996
  • By comparing statistics from 1981 and 1996 census
    of population
  • Percentages
  • Averages

14
You have two choices
  • use the subsets of 1981 and 1996 census profile
    data (in Excel or .csv format) linked under
    Selected census profile data at
  • lthttp//www.chass.utoronto.ca/datalib/classes/ggr1
    24/2003a/ggr124.htmgt
  • find the statistics you need for the assignment
    from print sources in GOVT (Robarts Library).

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22
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

23
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
  • Document your decisions.

24
Points to look out for (contd)
  • Statistics Canada does not always use popular
    terminology
  • education versus schooling
  • poverty versus LICO
  • inflation versus CPI
  • median versus average

25
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

26
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

27
Points to look out for (contd)
  • Abbreviations
  • nie not included elsewhere
  • nle not listed elsewhere
  • LICO low income cut-off

28
and the last point is.
  • When you use statistics in a paper, always cite
    your sources, both print and computer files
  • Canada. Statistics Canada. Census of Canada,
    1981 profile of census tracts computer file.
    Ottawa Statistics Canada producer and
    distributor, 1985 lthttp//www.chass.utoronto.ca/d
    atalib/classes/ggr124/2003a/tto81ct.xlsgt
  • Canada. Statistics Canada. Census of Canada,
    1996 profile of census tracts computer file.
    Ottawa Statistics Canada producer and
    distributor, 1998. lthttp//www.chass.utoronto.ca/
    datalib/classes/ggr124/2003a/tto96ct.xlsgt
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