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GGR 124Y1Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE

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Title: GGR 124Y1Y - URBANIZATION, CONTEMPORARY CITIES AND URBAN LIFE


1
GGR 124Y1Y - URBANIZATION, CONTEMPORARY CITIES
AND URBAN LIFE
  • Date January 29, 2002
  • Presenter Laine G.M. Ruus,
  • Data Library Service, UT

2
Who collects data about us?
  • Marketing and public opinion companies
  • Banks and credit companies
  • Government

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

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

5
Government data collection provincial
  • Consumer and Business Services
  • Registration Division
  • Registrar General Branch
  • Ministry of Health and Long-term Care
  • Ministry of Transportation

6
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)

7
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)

8
Census geography (selected)
  • Census metropolitan area urban core labour
    watershed
  • Census division county
  • Census subdivision municipality
  • Census tract neighbourhood

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11
Census products from Statistics Canada
  • Print products
  • dictionaries of census terms
  • profiles of census subdivisions census tracts
  • multivariate distributions at large geographic
    levels (provinces, CMAs, census subdivisions)
  • print maps
  • Located in Data, Maps Government Documents, 5th
    Floor, Robarts Library

12
Census products from StatsCan (contd)
  • Computer files
  • dictionaries of census terms (1996 and on)
  • profiles of all major census geographies (1991
    and on)
  • multivariate tabulations at small levels of
    geography
  • digitized maps (vector maps)
  • Accessible from Data Library Service
  • 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 tailored subsets of 1981 and 1996 census
    profile data linked under Summary of resources
    at
  • lthttp//www.chass.utoronto.ca/datalib/classes/ggr1
    24/ggr124.htmgt
  • or, gather the statistics you need for the
    assignment from printed sources and databases as
    outlined later in the same web page.

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19
Things to notice
  • Random rounding all cells independently rounded
    up or down to a multiple of 5
  • 100 sample and 20 sample indicate which
    census questionnaire (short or long form).
  • All numbers are for 100 of the population.
  • Definitions change over time.
  • Available information changes over time.

20
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22
Summary of points to look out for
  • Be aware of which Toronto you are describing
  • 100 versus 20 sample data all are weighted to
    100 of the population
  • Random rounding cells may not add up correctly
  • Same information is not available in all censuses
  • Use appropriate base population in denominator
    when calculating percentages

23
Summary of points to look out for (contd)
  • Labels over time a label change usually is a
    sign of a definition change
  • The bottom line document your decisions.

24
Summary of points to look out for (contd)
  • Definition and classification changes
  • 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)

25
Points to look out for (contd)
  • Toronto the many
  • Greater Toronto Area (GTA)
  • Toronto CMA
  • Metro Toronto
  • City of Toronto

26
Points to look out for (contd)
  • Abbreviations
  • nie not included elsewhere
  • nle not listed elsewhere
  • LICO low income cut-off

27
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
  • Census of Canada, 1996 profile of census tracts
    computer file. Canada Statistics Canada
    producer and distributor, 1998.
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