GEO 151 Location, Location, Location | Winter 2023. – Neighborhood Analysis. In cities, land use, and social, physical, and built environments vary significantly by location.

Neighborhood Analysis.

GEO 151 Location, Location, Location | Winter 2023. – Neighbourhood Analysis. In cities, land use, and social, physical, and built environments vary significantly by location. In this exercise you are to consider your own location – your neighbourhood – in the city and compare it to a contrasting location. In the first part of the assignment, you will evaluate the neighbourhood you live through your own perceptions of place. In the second and third parts you evaluate your neighborhood (census tract) with the benefit of census data and compare it to benchmarks and another neighbourhood.

Neighborhood Analysis.

Task One: Understanding neighborhoods through perception Local knowledge and perceptions are powerful means of knowing places. For Task One, think about the characteristics of the neighbourhood you live in, and provide a one-page summary of your impressions. This summary in Task One is NOT to draw from any data or other sources but rather will be based only on your impressions and perceptions. Also include a map that you created of your neighbourhood – this can be hand drawn, or you can use an editable mapping platform like scribble maps, Google MyMaps, Google Earth, GIS software, etc.

Neighborhood Analysis.

Task Two: Understanding neighbourhoods through census data Another way to know your neighbourhood is through quantitative data, which may confirm your impressions or provide new perspectives. For Task Two, you will analyze neighbourhoods as demarcated by the census – specifically, the census tract (CT). In this task you will use data at the census tract level from the 2021 Census. Go to Community Profiles at the Statistics Canada site: https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/index.cfm?Lang=E . Notice you have a tab with options: Place name, Postal code and Geographic code.

Neighborhood Analysis.

Type in your home postal code (e.g., M5B 2K3 is the campus postal code) and select the census tract number under Census tracts (CT) (e.g., the CT in the vicinity of the campus is 5350034.02). This will take you to a results page. Scroll down and select your census tract number. This will give you your home CT. on this page the first option is ‘add geography’. Click on it and add your town or city. This will provide a benchmark geographic region for comparison (such as the Toronto Census Metropolitan Area).  After clicking on ‘Add geography’, the census information for the benchmark region and your census tract will be visible on your screen.

Neighborhood Analysis.

On the same page click on ‘Add or remove data’. This allows you to select the variables of interest for the assignment. On the left-hand side of the screen, click on ‘select all topics’ to deselect all topics. You should see 0 out of maybe 53 selected. Now select the specific variables and select the categories of interest. When done, go to the right-hand side and deselect ‘males’ and ‘females.’ We are only interested in the totals for both your CT and benchmark geographic region. Click apply on the right-hand side of the screen to populate your data.  Download all of this data in CSV format to open in a spread sheet and save as an excel workbook.

Neighborhood Analysis.

The CSV format will not allow you to create charts.  In Excel (or other spreadsheet software), open a new tab, and copy over the data on the following themes for both your CT and the Toronto CMA and format it into a neat table (with column headings). From the Census Data – Population: o Any one population variable. Age: o Average age of the population – Household and dwelling characteristics o Include the top 2 dwelling types – Mother tongue: o Include the top mother tongue language – Immigrant status and period of immigration: o Immigrants (total) – Immigrants by selected place of birth:

Include top 2 places of birth – Occupation: o Include top 2 occupations – Main Mode of Commuting: o Include top mode of commuting – Income: o Average total income of households in 2020.  Go back to the census profile page using this link https://www12.statcan.gc.ca/censusrecensement/2021/dp-pd/prof/index.cfm?Lang=E and enter your postal code once again. https://youtu.be/-ulhG69ddEI

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