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Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean...

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Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009
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Page 1: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Using Statistics Canada Census Data in Institutional

Research

Karen Menard and James MacLean

Presentation to CUPA – June 23, 2009

Page 2: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Presentation Format

• Census data

• Practical application using census data

Page 3: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• The Data Liberation Initiative– Offers Canadian universities and colleges

affordable access to data for the purposes of academic teaching and research.

Page 4: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• How to access the data?– Through OCULA using Odesi software.– Through IDLS – but must have subscription

service to download files.– Both services allow you to select standard

datasets produced by Statistics Canada.– Files can usually be downloaded in either

Beyond 20/20 or ASCII format.– Customized datasets available through

Statistics Canada for a fee.

Page 5: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• What data is available?– Information on population, families,

households, dwellings, income, education, employment, housing, ethnicity, marital status, gender, etc.

Page 6: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Geographical levels for dissemination– Canada– Ontario– Census Metropolitan Areas (CMA)– Census SubDivisions (CSD)– Forward Sortation Area (FSA)– Census Tracts (CT)– Dissemination Area (DA)

Page 7: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Census Metropolitan Areas (CMA)– Formed by one or more adjacent

municipalities centered around a large urban area. Smaller centers must have a high degree of integration with the central urban area as measured by commuting flows from the census place of work data.

Page 8: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Census Subdivisions (CSD)– Area that is a municipality or deemed to be

equivalent for reporting purposes. – As an example, the London CMA includes

nearby towns such as St. Thomas, Port Stanley, Strathroy. The London CSA will include only the city of London.

Page 9: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Forward Sortation Areas (FSA)– A Canada Post code which is based on the

first 3 characters of a postal code. Limited census data is available at this level.

Page 10: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Census Tract (CT)– Small, relatively stable areas that usually

have a population of 2500 to 8000 with a preferred average of 4000 - - equivalent to about 1650 households.

– CT area is reasonably homogenous in economic status and social living conditions.

Page 11: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Dissemination Area (DA)– Smallest standard geographic area for which

all census data are disseminated, with a population between 400 – 700 persons - - equivalent to about 250 households.

– Respect the boundaries of census tracts.

Page 12: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• City of London

Population 350,000

Households 145,000

No. of FSAs 17

No. of Census Tracts 85

No. of Dissemination Areas 615

No. of Postal Codes 9,860

Page 13: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

London Neighborhood near University showing Census Tracts and Dissemination Areas

Page 14: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Hierarchy of standard geographic units (from Statistics Canada)

Page 15: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Census Data

• Using Dissemination Area Data– Statistics Canada makes available a Postal

Code Conversion File that provides a ‘best-fit’ match between a six-character postal code and standard geographical areas such as census tracts and dissemination area.

– This file is your link between the census data and your internal data using postal code as the common variable.

Page 16: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Postal Code Conversion File showing 6-character postal code and ‘best-fit’ dissemination area

Page 17: Using Statistics Canada Census Data in Institutional Research Karen Menard and James MacLean Presentation to CUPA – June 23, 2009.

Extract from Beyond 20/20 census file showing Dissemination Area (col 1-4 and col 8-11) and selected census variables


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