A geographic shape file of Nova Scotia’s Functional Economic Regions based on the 2021 census data. The most widely accepted approach to identifying functional economic regions is based on self-contained labour areas (SLAs) - a group of two or more Census Subdivisions (CSDs) where at least 75% of the workers both live and work in the area. Using Census data, Statistics Canada has identified Census Subdivisions (CSDs) that can be grouped together into SLAs based on daily commuting flows. The Office of Planning and Priorities has mapped these areas and created a GIS shape file that is intended to represent Nova Scotia’s functional economic regions.

This data set includes information on sampling locations, water chemistry and chlorophyll collected at 18 locations in the Great Lakes-St. Lawrence River and 4 locations in Lake Simcoe.

Invest Nova Scotia is Nova Scotia’s business development agency that works to promote economic growth and community economic development in the province by enabling business, innovation, and entrepreneurship. From starting up and raising capital, to incubation and acceleration, export development and investment attraction, Invest Nova Scotia helps businesses seize opportunities.

Number of visitors to Ontario grouped by main categories (Ontario, other Canada, US, and overseas). ## 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 by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

Total visitor spending in Ontario grouped by selected overseas countries. ## Related * [Inbound visitor spending](/dataset/inbound-visitor-spending) * [Inbound visits by country](/dataset/inbound-visits-by-country) * [Inbound visits](/dataset/inbound-visits) * [Inbound Visits by U.S. State](/dataset/inbound-visits-by-us-state) * [Inbound visitor spending by U.S. state](/dataset/inbound-visitor-spending-by-us-state) *[U.S.]: United States *[US]: United States

Business / Person that acts as an agent for a lender in arranging consumer loans

Data provided shows grants and contributions provided to Canadian firms by National Research Council (NRC) and its Industrial Research Assistance Program (IRAP) between April 1, 2024 and March 31, 2025.

Each Regional Tourism Organization is an independent, industry-led and not- for-profit and each provides leadership and coordination to support competitive and sustainable tourism regions. Ontario Regional Tourism Boundary data come in polygon and line versions. The polygon version is the main version and has the Region ID number. The line version is for cartographic purposes, as it shows the boundaries but contains no attributes (e.g., Region ID). [More information on regional tourism](https://www.ontario.ca/document/tourism-regions) *[ID]: identification *[e.g.]: for example

This dataset shows 1:250,000 scale faults/lineaments of the Precambrian Shield area of Saskatchewan. This dataset shows the 1:250,000 scale bedrock geology faults/lineaments of the Precambrian Shield area of Saskatchewan. The faults/lineaments layer has been merged from the 1:250,000 scale Compilation Bedrock Geology map series.  **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

## General guidelines 1. The dataset contains trip origin, destination, commodity group, average daily trips, commodity weight and value. 2. The data represents activity by medium and heavy trucks only. 3. The origin and destination data is aggregated by counties in Ontario and province or state outside of Ontario. 4. The commodities are grouped into 32 groups and empty trucks. 5. The Commercial Vehicle Survey targets travel on provincial facilities. Therefore, coverage of intra-urban trips is incomplete, and should not be interpreted as representative. 6. Trip activity within the Greater Toronto Area municipalities is not representative. 7. The average trip distance is 440 km. Caution must be exercised with short distance trip activities. 8. All Origin-destination pairs with average trip activity of less than one trip per day have been suppressed. ## Field descriptions **Origin zone** : Trip Origin Zone Number - Zone aggregation is counties in Ontario and province/state for others 35XX - Ontario counties 70XX - U.S. States XX00-XX00 (except 3500) - Canadian Provinces **Origin name** : Trip Origin Name - county or province/state name **Destination zone** : Trip Destination Zone Number - Zone aggregation is counties in Ontario and province/state for others. Same numbering system as origins **Destination name** : Trip Destination Name - county or province/state name **Commodity group code** : Unique commodity group numeric code **Commodity group:** Descriptive name of the commodity group **Daily trips** : Average daily truck trips **Commodity weight** : Average daily commodity weight in kilograms (KG) **Commodity value** : Average daily value of the commodity in dollars ($) *[km]: kilometre