Monthly average retail prices for selected food products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

Monthly average retail prices for selected products, for Canada, provinces, Whitehorse and Yellowknife. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

This dataset contains product prices from Amazon Canada, with a focus on price prediction. With a good amount of data on what price points sell the most, you can train machine learning models to predict the optimal price for a product based on its features and product name.

If you find this dataset useful, make sure to show your appreciation by upvoting! ❤️✨

Inspirations

This dataset is a superset of my Amazon Canada product price dataset. Another inspiration is this competition that awareded 100K Prize Money

What To Do?

• Your objective is to create a prediction model that will assist sellers in pricing their products within the optimal price range to generate the most sales.
• The dataset includes various data points, such as the number of reviews, rating, best seller status, and items sold last month.
• You can select specific factors (e.g., over 100 reviews = optimal price for the product) and then divide the dataset into products priced optimally vs products priced unoptimally.
• By utilizing techniques like vectorizing product names and features, you can train a model to provide the optimal price for a product, which sellers or businesses might find valuable.

How to know if a product sells?

• I would prefer to use the number of reviews as a metric to determine if a product sells. More reviews = more sales, right?
• According to one source only 1-2% of buyers leave a review
• So if we multiply the reviews for a product by 50x, then we would get a good understanding how many units has sold.
• If we then multiple the product price by number of units sold, we'd get the total revenue generated by the product

How is this useful?

• Sellers and businesses can leverage your model to determine the optimal price for their products, thereby maximizing sales.
• Businesses can assess the profitability of a product and plan their supply chain accordingly.

Graph and download economic data for Residential Property Prices for Canada (QCAN628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, price index, indexes, and price.

View monthly updates and historical trends for Gold Price in Canadian Dollar. from Canada. Source: Gold Council. Track economic data with YCharts analytic…

A dataset comprising the price, address, number of bathrooms, number of bedrooms, city, and province of real estate listings for Canada's top 45 most populous cities, according to the 2021 census.

Variables:

1. City: City or major metropolitan area within which listings were found. For example, Toronto may include listings from surrounding suburbs such as Markham, Oakville, etc.
2. Price: Listed price for the property in Canadian dollars.
3. Address: Street address and, where applicable, unit number for the listing.
4. Number_Beds: Number of bedrooms mentioned in the listing.
5. Number_Baths: Number of bathrooms mentioned in the listing.
6. Province: Province in which each city resides. Note, border towns such as Ottawa do not include listings from the surrounding out-of-province cities like Gatineau.
7. Population: City population. According to simplemaps (https://simplemaps.com/data/canada-cities)
8. Longitude / Latitude: Longitude and Latitude data for individual cities, taken from simpelmaps (https://simplemaps.com/data/canada-cities)
9. Median_Family_Income: Median household income for the city taken from the 2021 Canadian census.

This dataset can be used for basic linear regression problems or for basic exploratory data analysis.

Data is currently representative of prices as of October 29th 2023. Future updates will occur monthly.

The average sale price of residential real estate in Greater Vancouver, BC was estimated to almost *** million Canadian dollars in 2025. In Toronto, ON, a single family home cost about *** million Canadian dollars. According to the forecast, home prices will increase slightly in 2025 in most markets.

Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

Import Prices in Canada increased to 137 points in August from 136.60 points in July of 2025. This dataset provides the latest reported value for - Canada Import Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The dataset used in this analysis is derived from food price data spanning the years 2017 to 2023. The primary source for this dataset is Statistics Canada, the national statistical agency of Canada. The dataset covers a range of food prices, offering insights into trends and patterns over the specified period. For more detailed information or access to the original dataset, please visit the official Statistics Canada website at : https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810024502

Raw materials price index (RMPI) by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

Industrial product price index (IPPI), by product by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

Labour Costs in Canada increased to 133.52 points in the second quarter of 2025 from 132.86 points in the first quarter of 2025. This dataset provides - Canada Labour Costs - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Residential Property Prices in Canada decreased 3.60 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Canada Residential Property Prices.

GDP Constant Prices in Canada increased to 2456239 CAD Million in the first quarter of 2025 from 2442817 CAD Million in the fourth quarter of 2024. This dataset provides - Canada GDP Constant Prices - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Import Price Index by Origin (NAICS): All Industries for Canada (CANTOT) from Dec 1990 to Aug 2025 about Canada, imports, commodities, price index, indexes, price, and USA.

Producer Prices in Canada increased to 134.70 points in October from 132.70 points in September of 2025. This dataset provides the latest reported value for - Canada Producer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

View quarterly updates and historical trends for Canada Real House Price Index. Source: Federal Reserve Bank of Dallas. Track economic data with YCharts a…

Graph and download economic data for Real GDP at Constant National Prices for Canada (RGDPNACAA666NRUG) from 1950 to 2019 about Canada, real, GDP, and price.