The impervious surface layer for 2016 contains polygon features generated from Digital Aerial Survey mapping line work. The layer features represent the various impervious surface types found within The City of Calgary. These features are classified by surface type and description based on the classification and specifications used in the Digital Aerial Survey Program. Additional higher level general surface type classification has been applied to each impervious surface layer feature. To learn more about other DAS products available, visit Digital Aerial Survey.

The Impervious Surface 2021 dataset is a collection of polygon features derived from Calgary Digital Aerial Survey mapping linework which have been determined as impervious. Impervious surfaces are defined as any material which will seal the soil surface, impede water infiltration, collect solar heat or deprive tree or vegetation roots of aeration. Impervious surfaces effect many aspects of our City, including storm run off volumes, pollutant concentrations and drainage. The City must understand and manage the amount of impervious surfaces carefully to ensure the ongoing health and vitality of the municipality and the environment. To learn more about other DAS products available, visit Digital Aerial Survey

The impervious surface layer for 2016 contains polygon features generated from Digital Aerial Survey mapping line work. The layer features represent the various impervious surface types found within The City of Calgary. These features are classified by surface type and description based on the classification and specifications used in the Digital Aerial Survey Program. Additional higher level general surface type classification has been applied to each impervious surface layer feature. To learn more about other DAS products available, visit Digital Aerial Survey.

The impervious surface layer for 2014 contains polygon features generated from Digital Aerial Survey mapping line work. The layer features represent the various impervious surface types found within The City of Calgary. These features are classified by surface type and description based on the classification and specifications used in the Digital Aerial Survey Program. Additional higher level general surface type classification has been applied to each impervious surface layer feature. To learn more about other DAS products available, visit Digital Aerial Survey.

The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.

The impervious surface layer for 2014 contains polygon features generated from Digital Aerial Survey mapping line work. The layer features represent the various impervious surface types found within The City of Calgary. These features are classified by surface type and description based on the classification and specifications used in the Digital Aerial Survey Program. Additional higher level general surface type classification has been applied to each impervious surface layer feature. To learn more about other DAS products available, visit Digital Aerial Survey.

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

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 material category.

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.

Tree Canopy contains polygons outlining the extent of tree cover for all land within the City of Calgary. The tree canopy was derived by Remote Sensing software using City of Calgary Orthophotos and Lidar. The resulting data was then quality controlled and edited using various photogrammetric and processing tools.