Techsalerator’s Import/Export Trade Data for Canada

Techsalerator’s Import/Export Trade Data for Canada provides a comprehensive and insightful collection of information on international trade activities involving Canadian companies. This dataset offers a detailed examination of trade transactions, documenting and classifying imports and exports across various industries within Canada. ** To obtain Techsalerator’s Import/Export Trade Data for Canada, please reach out to info@techsalerator.com or to https://www.techsalerator.com/contact-us **

with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for Canada delivers a thorough analysis of trade activities, integrating data from customs reports, trade agreements, and shipping records. This comprehensive dataset helps businesses, investors, and trade analysts understand Canada’s trade landscape in detail.

Key Data Fields

Company Name: Lists the companies involved in trade transactions. This information helps identify potential partners or competitors and track industry-specific trade patterns. Trade Volume: Details the quantity or value of goods traded, providing insights into the scale and economic impact of trade activities. Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics. Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional trade relationships and market access. Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time. Top Trade Trends in Canada

Trade Balance Dynamics: Canada’s trade balance fluctuates with major partners such as the United States and China. Ongoing trade negotiations and policy adjustments aim to address imbalances and foster more equitable trade relationships. U.S.-Canada Trade Relations: The trade relationship with the U.S. remains central, influenced by agreements like the USMCA. This partnership shapes significant aspects of Canada's trade policy and practices. Expansion of Global Trade Networks: Canada is increasingly diversifying its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement. Growth in Resource Exports: Canada continues to see substantial trade in natural resources, including oil, minerals, and timber, which play a critical role in its export economy. Emphasis on Sustainable Trade Practices: There is a growing focus on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies. Notable Companies in Canadian Trade Data

Shopify Inc.: A leading e-commerce company that has a significant impact on international trade through its global platform for online retail. Bombardier Inc.: A major player in aerospace, known for exporting aircraft and components, contributing significantly to Canada’s trade in the aerospace sector. Suncor Energy Inc.: A major exporter of energy products, including crude oil and refined products, impacting Canada's energy trade. Loblaw Companies Limited: A major retailer involved in both importing and exporting a range of consumer goods, reflecting its significant role in Canada’s trade dynamics. Nutrien Ltd.: A leading exporter of agricultural products and fertilizers, highlighting Canada’s role in global agriculture and food production. Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Canada, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

Company Name Trade Volume Product Category Import/Export Country Transaction Date Shipping Details Customs Codes Trade Value For detailed insights into Canada’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Canada Exports to United States was US$419.75 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Exports to United States - data, historical chart and statistics - was last updated on March of 2026.

Exports in Canada decreased to 62480 CAD Million in January from 65550 CAD Million in December of 2025. This dataset provides the latest reported value for - Canada Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This page displays a table with Canada Exports By Category in U.S. dollars, according to the United Nations COMTRADE database on international trade.

The value added in exports database provides data on the exports and imports of industries, as well as on the direct and indirect impact of each industry’s production for exports on industry and on total gross domestic product and jobs. Industry impacts can be viewed from the perspective of their incidence on other industries or from the perspective of an industry’s dependence on other industries. The data rely on the supply and use tables, which provide the basis for the calculations. Beginning with reference year 2013, a provincial and territorial dimension has been added to the measures. Imports embodied in exports have also been expanded to show their United States (US) and non-US origins.

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.

The open data portal catalogue is a downloadable dataset containing some key metadata for the general datasets available on the Government of Canada's Open Data portal. Resource 1 is generated using the ckanapi tool (external link) Resources 2 - 8 are generated using the Flatterer (external link) utility. ###Description of resources: 1. Dataset is a JSON Lines (external link) file where the metadata of each Dataset/Open Information Record is one line of JSON. The file is compressed with GZip. The file is heavily nested and recommended for users familiar with working with nested JSON. 2. Catalogue is a XLSX workbook where the nested metadata of each Dataset/Open Information Record is flattened into worksheets for each type of metadata. 3. datasets metadata contains metadata at the dataset level. This is also referred to as the package in some CKAN documentation. This is the main table/worksheet in the SQLite database and XLSX output. 4. Resources Metadata contains the metadata for the resources contained within each dataset. 5. resource views metadata contains the metadata for the views applied to each resource, if a resource has a view configured. 6. datastore fields metadata contains the DataStore information for CSV datasets that have been loaded into the DataStore. This information is displayed in the Data Dictionary for DataStore enabled CSVs. 7. Data Package Fields contains a description of the fields available in each of the tables within the Catalogue, as well as the count of the number of records each table contains. 8. data package entity relation diagram Displays the title and format for column, in each table in the Data Package in the form of a ERD Diagram. The Data Package resource offers a text based version. 9. SQLite Database is a .db database, similar in structure to Catalogue. This can be queried with database or analytical software tools for doing analysis.

This dataset contains information on export applications for animal products (meat, dairy and miscellaneous products). Applications registered on this dataset were for Export Health Certification to be issued where the export date/date the HC was required to be with the certifying Official Veterinarian or exporter from 27 July 2014 to 22 January 2015. Data pre 27 July 2014 is contained in datatsets Meat and Dairy Exports 2014 and Miscellaneous Product Exports 2014. The dataset contains columns for the Export Health Certificate (EHC) issued, the destination country of the export, the commodity being exported and the date of export/date the EHC was required to be with the certifying Official Veterinarian or exporter. Where the EHC column states 'TRACES' the EHC is a harmonised trade certificate for EU Member States to export meat products to Canada or New Zealand. This dataset is for animal product exports where the loading address was in England only. Attribution statement:

This dataset provides a comprehensive synthetic simulation of Canadian farm production data from 1920 to 2024. It includes detailed insights on crop types, average yield, weather conditions, soil profiles, irrigation, pesticide use, organic practices, and economic factors like pricing and farm value. It also considers the adoption of agricultural technology over time and the impact of historical agricultural policies. The dataset is ideal for agricultural modeling, climate impact studies, time-series analysis, and machine learning applications in agritech.

Annual data on Canadian international merchandise trade by province, trading partners and products on a customs basis. Trade data for 255 trading partners are included with an all country aggregate. Product data are presented using the North American Product Classification System at the section level.

The Canada Trademarks Dataset

18 Journal of Empirical Legal Studies 908 (2021), prepublication draft available at https://papers.ssrn.com/abstract=3782655, published version available at https://onlinelibrary.wiley.com/share/author/CHG3HC6GTFMMRU8UJFRR?target=10.1111/jels.12303

Dataset Selection and Arrangement (c) 2021 Jeremy Sheff

Python and Stata Scripts (c) 2021 Jeremy Sheff

Contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office.

This individual-application-level dataset includes records of all applications for registered trademarks in Canada since approximately 1980, and of many preserved applications and registrations dating back to the beginning of Canada’s trademark registry in 1865, totaling over 1.6 million application records. It includes comprehensive bibliographic and lifecycle data; trademark characteristics; goods and services claims; identification of applicants, attorneys, and other interested parties (including address data); detailed prosecution history event data; and data on application, registration, and use claims in countries other than Canada. The dataset has been constructed from public records made available by the Canadian Intellectual Property Office. Both the dataset and the code used to build and analyze it are presented for public use on open-access terms.

Scripts are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/. Data files are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/, and also subject to additional conditions imposed by the Canadian Intellectual Property Office (CIPO) as described below.

Terms of Use:

As per the terms of use of CIPO's government data, all users are required to include the above-quoted attribution to CIPO in any reproductions of this dataset. They are further required to cease using any record within the datasets that has been modified by CIPO and for which CIPO has issued a notice on its website in accordance with its Terms and Conditions, and to use the datasets in compliance with applicable laws. These requirements are in addition to the terms of the CC-BY-4.0 license, which require attribution to the author (among other terms). For further information on CIPO’s terms and conditions, see https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html. For further information on the CC-BY-4.0 license, see https://creativecommons.org/licenses/by/4.0/.

The following attribution statement, if included by users of this dataset, is satisfactory to the author, but the author makes no representations as to whether it may be satisfactory to CIPO:

The Canada Trademarks Dataset is (c) 2021 by Jeremy Sheff and licensed under a CC-BY-4.0 license, subject to additional terms imposed by the Canadian Intellectual Property Office. It contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office. For further information, see https://creativecommons.org/licenses/by/4.0/ and https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html.

Details of Repository Contents:

This repository includes a number of .zip archives which expand into folders containing either scripts for construction and analysis of the dataset or data files comprising the dataset itself. These folders are as follows:

• /csv: contains the .csv versions of the data files
• /do: contains Stata do-files used to convert the .csv files to .dta format and perform the statistical analyses set forth in the paper reporting this dataset
• /dta: contains the .dta versions of the data files
• /py: contains the python scripts used to download CIPO’s historical trademarks data via SFTP and generate the .csv data files

If users wish to construct rather than download the datafiles, the first script that they should run is /py/sftp_secure.py. This script will prompt the user to enter their IP Horizons SFTP credentials; these can be obtained by registering with CIPO at https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP. The script will also prompt the user to identify a target directory for the data downloads. Because the data archives are quite large, users are advised to create a target directory in advance and ensure they have at least 70GB of available storage on the media in which the directory is located.

The sftp_secure.py script will generate a new subfolder in the user’s target directory called /XML_raw. Users should note the full path of this directory, which they will be prompted to provide when running the remaining python scripts. Each of the remaining scripts, the filenames of which begin with “iterparse”, corresponds to one of the data files in the dataset, as indicated in the script’s filename. After running one of these scripts, the user’s target directory should include a /csv subdirectory containing the data file corresponding to the script; after running all the iterparse scripts the user’s /csv directory should be identical to the /csv directory in this repository. Users are invited to modify these scripts as they see fit, subject to the terms of the licenses set forth above.

With respect to the Stata do-files, only one of them is relevant to construction of the dataset itself. This is /do/CA_TM_csv_cleanup.do, which converts the .csv versions of the data files to .dta format, and uses Stata’s labeling functionality to reduce the size of the resulting files while preserving information. The other do-files generate the analyses and graphics presented in the paper describing the dataset (Jeremy N. Sheff, The Canada Trademarks Dataset, 18 J. Empirical Leg. Studies (forthcoming 2021)), available at https://papers.ssrn.com/abstract=3782655). These do-files are also licensed for reuse subject to the terms of the CC-BY-4.0 license, and users are invited to adapt the scripts to their needs.

The python and Stata scripts included in this repository are separately maintained and updated on Github at https://github.com/jnsheff/CanadaTM.

This repository also includes a copy of the current version of CIPO's data dictionary for its historical XML trademarks archive as of the date of construction of this dataset.

Trade in goods by importer characteristics data available by country of export. Users have the option of selecting information related to the value of imports and the number of importing establishments in all provinces and territories in Canada.

Techsalerator’s Import/Export Trade Data for Jamaica

Techsalerator’s Import/Export Trade Data for Jamaica offers a detailed and insightful collection of information regarding international trade activities involving Jamaican companies. This dataset provides an extensive examination of trade transactions, categorizing and documenting imports and exports across various industries within Jamaica.

To access Techsalerator’s Import/Export Trade Data for Jamaica, please contact us at info@techsalerator.com or visit https://www.techsalerator.com/contact-us with your specific requirements. Techsalerator will provide a customized quote based on your data needs, with delivery available within 24 hours. Ongoing access options can also be discussed.

Techsalerator's Import/Export Trade Data for Jamaica delivers a thorough analysis of trade activities, integrating information from customs reports, trade agreements, and shipping records. This comprehensive dataset assists businesses, investors, and trade analysts in understanding Jamaica’s trade landscape in detail.

Key Data Fields

• Company Name: Lists the companies involved in trade transactions, helping to identify potential partners or competitors and track industry-specific trade patterns.
• Trade Volume: Details the quantity or value of goods traded, providing insights into the scale and economic impact of trade activities.
• Product Category: Specifies the types of goods traded, such as raw materials or finished products, aiding in understanding market demand and supply chain dynamics.
• Import/Export Country: Identifies the countries of origin or destination for traded goods, offering insights into regional trade relationships and market access.
• Transaction Date: Records the date of transactions, revealing seasonal trends and shifts in trade dynamics over time.

Top Trade Trends in Jamaica

• Trade Balance Dynamics: Jamaica’s trade balance experiences fluctuations with major partners such as the United States and Canada. Ongoing trade negotiations and policy adjustments aim to address imbalances and enhance trade relationships.
• US-Jamaica Trade Relations: The trade relationship with the United States is central, influenced by agreements such as the Caribbean Basin Initiative (CBI). This partnership shapes significant aspects of Jamaica's trade policy and practices.
• Expansion of Trade Networks: Jamaica is actively diversifying its trade partners and markets beyond traditional partners, reflecting a trend toward broader global trade engagement.
• Growth in Agricultural Exports: Jamaica continues to see notable trade in agricultural products, including sugar, coffee, and spices, which play a crucial role in its export economy.
• Focus on Sustainable Practices: There is an increasing emphasis on integrating sustainability into trade policies, promoting environmentally friendly practices and technologies.

Notable Companies in Jamaican Trade Data

• GraceKennedy Limited: A major player in food and consumer goods, involved in importing and exporting a wide range of products.
• Jamaica Producers Group: Engaged in the export of agricultural products, including fruits and juices, reflecting Jamaica’s agricultural strengths.
• National Commercial Bank (NCB): Involved in financial services related to trade transactions, impacting Jamaica’s trade finance sector.
• Caribbean Cement Company: A key exporter of cement and building materials, highlighting Jamaica’s role in construction and infrastructure trade.
• Lascelles deMercado & Co. Ltd.: Known for its beverages and spirits, involved in both importing and exporting products within the beverage industry.

Accessing Techsalerator’s Data

To obtain Techsalerator’s Import/Export Trade Data for Jamaica, please contact us at info@techsalerator.com with your requirements. We will provide a customized quote based on the number of data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields:

• Company Name
• Trade Volume
• Product Category
• Import/Export Country
• Transaction Date
• Shipping Details
• Customs Codes
• Trade Value

For detailed insights into Jamaica’s import and export activities and trends, Techsalerator’s dataset is an invaluable resource for staying informed and making strategic decisions.

Gross National Product in Canada increased to 3237496 CAD Million in the fourth quarter of 2025 from 3226288 CAD Million in the third quarter of 2025. This dataset provides - Canada Gross National Product - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Get data on the Ontario gross domestic product (GDP) by Goods-Producing Industries and Services Industries.

The GDP is a monetary measure of the value of all the goods and services produced in a period.

Canadian natural gas consumption is highly variable and is dependent on weather. While Canada is the world’s fifth largest producer of natural gas, production is centralized in Western Canada (primarily in Alberta, British Columbia and Saskatchewan). Eastern Canada is connected to production sources via pipelines. In addition to pipeline flows (inter-provincial or to the U.S.), Canada also imports natural gas in liquefied form (LNG), and to a lesser extent exports LNG. When natural gas is cooled to approximately -162° Celsius, it becomes a liquid and significantly shrinks in volume. This process is utilized to transport natural gas via specialized water-borne tankers around the world. Canada has one large LNG import terminal, Canaport, located in Saint John, New Brunswick. Canada also exports and imports LNG via other land-based and water-based ports. In these instances LNG is stored in specialized modular containers. Canada Energy Regulator regulates the export and import of natural gas. Orders or licenses are required to export or import natural gas to and from Canada, including LNG. Holders of these authorizations report monthly on their activities to CER. LNG import and export activities are available by terminal from 2009 to present. Data is delayed by approximately 2 months.

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"Information" means information resources protected by copyright or other information that is offered for use under the terms of this licence. "Information Provider" means Her Majesty the Queen in right of Canada. “Personal Information” means “personal information” as defined in section 3 of the Privacy Act, R.S.C. 1985, c. P-21. "You" means the natural or legal person, or body of persons corporate or incorporate, acquiring rights under this licence. Versioning This is version 2.0 of the Open Government Licence – Canada. The Information Provider may make changes to the terms of this licence from time to time and issue a new version of the licence. Your use of the Information will be governed by the terms of the licence in force as o...

This Alberta Official Statistic presents annual per cent change for Alberta and Canada real Gross Domestic Product (GDP) for Primary Agriculture Industries, 2008-2014. Gross Domestic Product (GDP) is a measure of the economic production which takes place within a geographical area. The term "gross" in GDP means that capital consumption costs, that is the costs associated with the depreciation of capital assets (buildings, machinery and equipment), are included. The production estimates are prepared for 215 separate industries using the North American Industrial Classification System (NAICS). Real GDP is gross domestic product adjusted for price changes. By taking out the impact of fluctuation in prices, real GDP allows people to more accurately measure the changes in total output and service for a jurisdiction. GDP measures are part of the Canadian System of National Accounts (SNA). The SNA provides a conceptually integrated framework of statistics for studying the state and behavior of the Canadian economy. The accounts are centered on the measurement of activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions.

This dataset contains historical records of farm production across provinces.

• It includes information about crop types, average farm prices (in dollars per tonne), average yields (in kilograms per hectare), total production (in metric tonnes), seeded areas (in both acres and hectares), and the total farm value (in dollars).
• Each entry is categorized by year (REF_DATE) and province (GEO), providing a comprehensive view of agricultural trends in Canada over time.

Get statistical data on harvested area, marketed production, average price, farm value and average yield for broccoli in Ontario.

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.