Generalized postal code data of Outdoor Cards purchasers, including non- residents of the province. Outdoor Cards are required to hunt and fish within the Province of Ontario. [Learn more about Outdoors Cards](https://www.ontario.ca/page/get-outdoors-card)

A generalized summary of postal code data, of Canadian purchases of overnight camping permits for use at Ontario Parks. Includes a summary by country for non-Canadians. The data is specific to camping permits purchased through the camper registration system. Total counts are expressed in associated Forward Sortation Areas (FSAs). *[FSA]: Forward Sortation Areas

Number of visitors to Ontario grouped by selected U.S. regions. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visits by country](/dataset/inbound-visits-by-country) * [Inbound visitor spending by country](/dataset/inbound-visitor-spending-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

Species Distribution Modeling (SDM) and Wildlife Habitat Ratings (WHR) project boundaries (STE_WLD_PROJECT_BOUNDARIES_SVW) contain boundaries (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g. reports, WHR polygon datasets, plotfiles). This layer is derived from the [STE_TEI_PROJECT_BOUNDARIES_SP](https://catalogue.data.gov.bc.ca/dataset/1313fac7-2ea1-4c6b-995b-bd421b7ec3c6) layer by filtering on the PROJECT_TYPE attribute. Project types include: WHR, SDM, PEMWHR, PEMSDM, TEMWHR, TEMSDM, TEMPRW, NEMPRW, BEIWHR, BEISDM, SEIWHR, SDM, SOILSW, BEMWHR and NEMWHR. SDM and WHR project boundaries should be used in conjunction with SDM and WHR detailed inventory polygons. SDM predicts the suitability of different environments for occupation by particular species, and the likelihood that those suitable habitats are occupied. WHR are also known as wildlife habitat interpretations and most commonly use TEM data as a means to identify specific habitats. SDM and WHR inventory polygons with full Resources Information Standards Committee (RISC) attributes can be accessed through the [Terrestrial Ecosystem Information (TEI) Data Distribution Packages](https://catalogue.data.gov.bc.ca/dataset/8fd15e4e-e7b1-4566-81d1-1ff8947bfd46). **Current version**: v12 (2026-06-22)

The data includes information on school locations as submitted by private schools in their Notice of Intention (NOI) to operate as private school. Private schools NOI information is being collected in the Ontario School Information System (OnSIS). Data includes the following location information on private schools in Ontario. * Academic Year * School Main Location Flag * School Number * School Name * School Level Code * School Level * School Special Condition Type Code * School Special Condition Type * Latitude * Longitude * Address Type * Suite * PO Box * Street Number * Street Number Suffix * Street Name * Street Type * Rural Route Number * City * Postal Code * Province * Program Type Data excludes publicly funded schools, school authorities, publicly funded hospital and provincial schools, Education and Community Partnership Program (ECPP) facilities, summer, night, adult and continuing education schools.

Predictive Ecosystem Mapping (PEM) Project Boundaries (STE_PEM_PROJECT_BOUNDARIES_SVW) contains boundaries (study areas) and attributes describing each PEM project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, legends). This layer is derived from the [STE_TEI_PROJECT_BOUNDARIES_SP](https://catalogue.data.gov.bc.ca/dataset/1313fac7-2ea1-4c6b-995b-bd421b7ec3c6) layer by filtering on the PROJECT_TYPE attribute. Project types include: PEM, PEMWHR, PEMSDM and PEMTBT. PEM project boundaries should be used in conjunction with PEM modelled polygons which divide the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. PEM uses a modeling approach to ecosystem mapping, whereby existing knowledge of ecosystem attributes and relationships are used to predict ecosystem representation in the landscape. PEM modelled polygons can be accessed through the [Terrestrial Ecosystem Information (TEI) Data Distribution Packages](https://catalogue.data.gov.bc.ca/dataset/8fd15e4e-e7b1-4566-81d1-1ff8947bfd46). **Current version**: v12 (2026-06-22)

This dataset provides a listing and relevant details for forest resource processing facilities (mills) that are licensed and operating or require a licence to operate in Ontario. Contents include: * Facility Code * Name * Facility Type * MNRF Region * Address * City * Province * Postal Code * Latitudinal and Longitudinal Coordinates All facilities that use 1,000 cubic metres or more of forest resources in one year require a facility licence.

Stormwater ponds are artificial structures that are critical components of stormwater management systems in many Canadian cities. They serve to prevent flooding of urban areas during excess rainfall. Stormwater ponds also contribute to environmental health by allowing the settlement of dirt and solids from stormwater to the bottom of the pond. As a result, the sediments of stormwater ponds can become enriched with potentially harmful contaminants. The health risks posed to anglers by contact with stormwater and sediments and consumption of fish from stormwater ponds are not well characterized. The City of Lacombe (Alberta) is a municipality with two stormwater ponds stocked with sterile fish for angling. Alberta Health collected water, sediment and fish from these two ponds over two seasons (fall 2010 and spring 2011) and analyzed the samples for a suite of contaminants. Water samples were collected from three sites at each pond and three depths for each site (n=40; nine samples plus one replicate sample per pond per season). Sediment samples were collected from the same three sites at each pond (n=12; three samples per pond per season). Fish samples (rainbow trout) were collected in fall 2010 (n=18; eight from East Pond and ten from Len Thompson Pond). For the contaminant analysis, all samples (water, sediment and fish) were tested for parent and alkylated polycyclic aromatic hydrocarbons (PAHs). Additionally, water samples were tested for routine chemicals, trace metals, pesticides and volatile organic compounds (VOCs), and fish muscle tissue was tested for total mercury.

Cyanobacteria (also referred to as blue-green algae) are common photosynthetic bacteria that live in surface waters. Under favorable conditions, such as warm water and high nutrient content, these bacteria can form nuisance “blooms”. The presence of blooms in recreational water causes unpleasant aesthetics and exposure to some toxin-producing blooms may pose potential health risks. Contact with blooms can cause skin rashes and irritation, itchy eyes, and ear infections. Inhaling water may cause allergic-like reactions, runny noses or sore throats. Ingestion of toxins can cause a range of symptoms (e.g., hepatotoxic or neurotoxic effects, and even death). There has been increased public awareness as a result of research over the past 25 years, recent monitoring efforts, and increased public education on the topic. In 2009, Alberta Health and Alberta Health Services began seasonal monitoring for cyanobacterial blooms at high use recreational beaches. In 2019, beach operators took over the sampling role from Alberta Health Services under the Alberta Safe Beach Protocol. Water is collected from shallow water adjacent to beaches and submitted to laboratories for analysis of cyanobacterial bloom indicators. These data, along with visual inspection, are used to characterize potential cyanobacterial blooms and issue recreational water use advisories when cyanobacteria are found in a waterbody at levels that can affect human health. The data presented below is organized into two files that contain supporting data and key cyanobacterial bloom indicators, and counts of individual cyanobacteria species, respectively. Each row represents a water sample collected from an Alberta beach. In the cyanobacteria species data, each water sample will have many associated rows of data. Each column represents a piece of information about that water sample (e.g., key indicators and supporting information) that is used to characterize cyanobacterial blooms. Data from the current year (2026) should be considered preliminary and might change with further quality control/quality assurance steps. This dataset is updated monthly between June and September each year. For more information on these indicators please refer to the column descriptions “Usage Considerations” associated with this dataset.

Total outbound visitor spending by residents of Ontario in selected U.S. states. ## Related * [Outbound visits](/dataset/outbound-visits) * [Outbound visitor spending](/dataset/outbound-visitor-spending) * [Outbound visitor spending by province](/dataset/outbound-visitor-spending-by-province) * [Outbound visitor spending by country](/dataset/outbound-visitor-spending-by-country) * [Outbound visits by province](/dataset/outbound-visits-by-province) * [Outbound visits by country](/dataset/outbound-visits-by-country) * [Outbound visits by U.S. state](/dataset/outbound-visits-by-us-state) *[U.S.]: United States