Department of Statistical Sciences - University of Toronto

Business Contact

Andrea Carter

Department of Statistics-Administrative Assistant
Email: stats@utstat.utoronto.ca

Contact Information

Department of Statistical Sciences - University of Toronto
Sidney Smith Hall, 100 St George St, Toronto, ON M5S 3G3, Canada
Chinatown, Toronto, M5S 3G3
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Phone: (416) 978-3452
Web: www.utstat.toronto.edu
Email: chair@utstat.utoronto.ca
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Business Description

Department of Statistical Sciences - University of Toronto is located in Chinatown, Toronto.

Questions & Answers

Q1

What is the phone number for Department of Statistical Sciences - University of Toronto?

The phone number for Department of Statistical Sciences - University of Toronto is (416) 978-3452.
Q2

Where is Department of Statistical Sciences - University of Toronto located?

Department of Statistical Sciences - University of Toronto is located at Sidney Smith Hall, 100 St George St, Toronto, ON M5S 3G3, Canada, Chinatown, Toronto.
Q3

Is there a primary contact for Department of Statistical Sciences - University of Toronto?

Andrea Carter (Department of Statistics-Administrative Assistant) at Department of Statistical Sciences - University of Toronto. You can contact Andrea Carter at email address stats@utstat.utoronto.ca.
Q4

What is the web address (URL) for Department of Statistical Sciences - University of Toronto?

The website for Department of Statistical Sciences - University of Toronto is www.utstat.toronto.edu.
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Sidney Smith Hall, 100 St George St, Toronto, ON M5S 3G3, Canada Chinatown, Toronto, M5S 3G3
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Businesses in Postal Code M5S

Businesses in M5S: 6,632
Population: 17,234
M5S Business Density Heatmap

Categories

Shopping:  14%
Professional Services:  13%
Medical:  13%
Restaurants:  11%
Other:  49%

Price

Moderate:  38%
Inexpensive:  30%
Expensive:  17%
Very Expensive:  15%
Other:  0%

Area Codes

416:  89%
647:  9%
Other:  2%

Neighborhoods

Old Toronto:  72%
The Annex:  5%
University:  6%
Other:  17%
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Stats and Demographics for Postal Code M5S

Gender

Female:  52%
Male:  48%
Other:  0%
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