Calgary Transit provides service to customers measured in service hours. Each hour of service reflects all paid hours of operations, both in service to customers and out of service.

Public Service Requests submitted via 311 from 2012 to present.

For more information on 311 Calgary, or to submit a request, visit http://www.calgary.ca/CFOD/CSC/Pages/311.aspx

This chart shows weight per cent composition grouped by material diversion potential.

This dataset is for garbage bin waste from the Industrial, Commercial, and Institutional (ICI) sector. The North American Industry Classification System (NAICS) is used to categorize ICI businesses and organizations into sub-sectors for ease of data collection and reporting. The NAICS sub-sectors included in this study are: Accommodation and Food Services (NAICS code 72), Retail Trade (44-45), Manufacturing (31-33), Health Care and Social Assistance (62), and Public Administration (91). All businesses and organizations included in the study were customers of The City’s Commercial Collections service, except for one privately-serviced customer in the Accommodation and Food Services sub-sector that was added to provide better sector representation. A total of 115 samples are included in the dataset: 30 in Accommodation and Food Services, 35 in Retail Trade, 17 in Manufacturing, 25 in Health Care and Social Assistance, and 8 in Public Administration. The weight per cent for each sub-sector is the pooled average of samples collected in the four seasons of 2019.

Waste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design.

This chart shows weight per cent composition, grouped by proper material disposal location.

This dataset is for Black Cart and garbage bin waste from residential dwellings. The single family sector results represent the pooled average of samples of 20-25 residences collected in 18 communities in each of the four seasons of 2019 (72 samples). The communities sampled were selected to collectively represent the range of housing types and demographics in Calgary. The multi-family results represent garbage bin waste from multi-family complexes, and represents the pooled average of samples in each of the four seasons of 2019 (40 samples). The multi-family developments sampled included both low rise and high rise types, and all were customers of The City’s Commercial Collections service.

Waste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design.

Fair Entry is an application process for City subsidized programs and services. This process assesses an applicant’s income eligibility and Calgary residency in order for low-income Calgarians to access multiple City programs with one application. The Fair Entry dataset uses data from the Subsidy Assistance Management System (SAMS), a centralized database that stores personal information of Calgarians applying to The City of Calgary's subsidy programs and services. For more information, please visit: or call 311.

This chart shows multi family garbage bin composition, grouped by diversion potential.

The multi-family results represent garbage bin waste from multi-family complexes, and represents the pooled average of samples in each of the four seasons of 2019 (40 samples). The multi-family developments sampled included both low rise and high rise types, and all were customers of The City’s Commercial Collections service.

Waste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design.

Waste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design. This dataset is for Black Cart waste from residential dwellings, and represents the pooled average of samples of 20-25 residences collected in 18 communities in each of the four seasons of 2019 (72 samples). The communities sampled were selected to collectively represent the range of housing types and demographics in Calgary. The weight per cent composition is provided for a number of material categories and subcategories.
See https://www.calgary.ca/UEP/WRS/Pages/Garbage-collection-information/Residential-services/Garbage-Collection.aspx for more information.

This file lists SDAB decisions since 2014. Additional information about the Subdivision and Development Appeal Board can be found at the Subdivision and Development Appeal Board page on calgary.sdab.ca.

This chart shows weight per cent composition grouped by material diversion potential.

This dataset is for garbage bin waste from the Industrial, Commercial, and Institutional (ICI) sector. The North American Industry Classification System (NAICS) is used to categorize ICI businesses and organizations into sub-sectors for ease of data collection and reporting. The NAICS sub-sectors included in this study are: Accommodation and Food Services (NAICS code 72), Retail Trade (44-45), Manufacturing (31-33), Health Care and Social Assistance (62), and Public Administration (91). All businesses and organizations included in the study were customers of The City’s Commercial Collections service, except for one privately-serviced customer in the Accommodation and Food Services sub-sector that was added to provide better sector representation. A total of 115 samples are included in the dataset: 30 in Accommodation and Food Services, 35 in Retail Trade, 17 in Manufacturing, 25 in Health Care and Social Assistance, and 8 in Public Administration. The weight per cent for each sub-sector is the pooled average of samples collected in the four seasons of 2019.

Waste Composition studies are periodically conducted by Waste and Recycling Services to help assess the performance of diversion and education programs and inform improvements and new program design.