Bathymetry line data was collected to assess fish habitat in Ontario. Spot depths (bathymetry points) were used to measure the depth contours, which function like isobars to show lines of constant depth. Their density and positional accuracies vary depending on the survey style and parameters. This data should never be used for navigation.

Seniors Active Living Centres, or SALC, offer a range of social, cultural, learning and recreational programs for seniors. SALC information includes the name, address, phone number, website. *[SALC]: Seniors Active Living Centres

[ARCHIVED] Amendments to the Mortgage Act came into effect Nov 1, 2021 which created new mortgage license types and a new public register of licensed mortgage brokerages, mortgage lenders and mortgage administrators. Please refer to the new public register for current data: https://beta.novascotia.ca/licensed-mortgage-brokerages-mortgage-lenders-and-mortgage-administrators. A mortgage lender is a business or person who extends credit secured by real property; or by advertisement, notice or sign indicates that the person is a mortgage lender.

A list of Ontario courthouses and their latitude and longitude coordinates.

ECO - Business and economic (economy) Economic activities or employment. For example, resources describing labor; revenue; commerce; industry; tourism and ecotourism; forestry; fisheries; commercial or subsistence hunting; and exploration and exploitation of resources, such as minerals, oil, and gas.

An Agreement Forest Area is a polygon feature that identifies an area of forested private land governed by a Forest Management Agreement. Private companies have agreed, through negotiated agreements with the ministry, to carry out planning and all operational timber management, except protection operations (for example, insect and disease pest control). We are no longer updating this data. It is best suited for historical research and analysis.

This data breaks down bull moose, cow moose, calf moose and total harvest numbers by: * wildlife management unit (WMU) * calendar year Harvest and active hunter numbers are estimates based on replies received from a sample of hunters and are therefore subject to statistical error. In addition to the values presented, from 2006-2017, an estimated annual average of approximately 160 calf moose were harvested across the province by approximately 6,400 active resident hunters who did not apply for an adult validation tag. Additional technical and statistical notes can be found in the data dictionary.

The outer boundary of the Province of Ontario. Land identifying the extent of the Province of Ontario for mapping purposes. This product requires the use of geographic information system (GIS) software.

Used within the Travellers Road Information Portal Interactive Map to convey transportation related information in both official languages. This information includes a list of locations of carpool parking lots near dozens of highway interchanges throughout Ontario. This data is best viewed using Google Earth or similar Keyhole Markup Language (KML) compatible software. For instructions on how to use Google Earth, read the [Google Earth tutorial](http://www.google.com/earth/index.html) **.** This data set is now available via the Ontario 511 Developer API at *[KML]: Keyhole Markup Language This data is related to: * This data set is now available via the [Ontario 511 Developer API](https://511on.ca/developers/doc)

Get data on forest fires, compiled annually for the National Forestry Database [The National Forestry Database](http://nfdp.ccfm.org/en/index.php) includes national forest data and forest management statistics to seve as a credible, accurate and reliable source of information on forest management and its impact on the forest resource. Forest fire data is grouped into eight categories, which are further broken down by geographic location. These include: * number of fires by cause class and response category * area burned by cause class and response category * number of fires by month and response category * area burned by month and response category * number of fires by fire size class and response category * area burned by fire size class and response category * area burned by productivity class, stocking class, maturity class and response category * other fire statistics, such as property losses