Where to find free Canadian government datasets

Data AnalyticsDatasets
Written By FWD EDITORS

Federal, provincial, and municipal governments, and government agencies publish an enormous amount of publicly available data — covering everything from population and housing to the environment, the economy, and public health. The datasets are often available in a variety of formats, including Excel, CSV, JSON, GEOJSON, and Shapefiles for mapping.

The challenge is knowing where to look. In this guide, we'll walk through the most important open data portals in Canada, what you'll find on each one, and some practical tips for getting the most out of them.

What Is Open Data?

Open data is information that governments, institutions, and organizations publish for anyone to freely access, use, and share. In Canada, the federal government and most provincial governments have legal commitments to releasing public data in machine-readable formats — meaning you can download it directly into Excel, Google Sheets, or Python and start analyzing right away. If you want to dig deeper into what open data is and why it matters, check out our article on What is open data and why should you use it?

1. Statistics Canada — statcan.gc.ca

Statistics Canada (StatCan) is the most comprehensive source of Canadian data you'll find anywhere. As the country's national statistical agency, it publishes authoritative data across nearly every topic: demographics, labour, income, health, crime, agriculture, and much more.

What makes StatCan particularly valuable is the depth and consistency of its data. Many of its indicators stretch back decades, which makes it ideal for trend analysis.

What you'll find:

  • Census data at the national, provincial, and community level

  • Labour Force Survey results (monthly employment and unemployment figures)

  • Consumer Price Index and inflation data

  • Income, housing, and household expenditure surveys

  • Health and crime statistics

How to access it: Visit statcan.gc.ca and use the search bar to look up a topic. From there, you can browse data tables or use the Table Builder tool to customize exports. Data is available in CSV, Excel, and other formats.

💡 Tip

StatCan's Table Builder tool lets you filter by geography, year, and variable before downloading — so you only get the data you actually need rather than downloading an enormous file and filtering it yourself. You can also select how the data is organized in downloadable file. For example, you can select as displayed which provides the data as shown in the table on the webpage, or you can select the data to be organized for database loading which will show the data in long form.

2. Open Government Portal — open.canada.ca

Open Governmentis the federal government's central hub for open data. It acts as a catalogue — pointing you to datasets published by dozens of federal departments and agencies, including Environment and Climate Change Canada, Transport Canada, the Canada Revenue Agency, and many others.

What you'll find:

  • Federal spending and contracts data

  • Environmental monitoring and climate data

  • Transportation and infrastructure datasets

  • Geospatial files, including boundaries and maps

  • Federal employee counts and payroll data

How to access it: Go to open.canada.ca/data and search by keyword or browse by topic. Each dataset has a record page showing the format, the publishing department, and when it was last updated. Many datasets download as CSV or are available via API.

3. Provincial Open Data Portals

Every province has its own open data portal, and they're worth bookmarking. The quality and volume of data vary by province, but most publish datasets on local government spending, health region statistics, municipal services, education, and more.

 4. City and Municipal Open Data

Canada's largest cities publish their own open data portals — and these are often gold mines for hyper-local analysis. Municipal portals typically include data on transit, permits, by-law complaints, parks, and local budgets.

Notable city portals to know:

5. Canadian Institute for Health Information

One of the most difficult types of information to find is health information. The Canadian Institute for Health Information is the most comprehensive source for comparative health data. Here, you can expect to find data on a variety of health-related topics, including healthcare expenses at the national level and for provinces and territories. There are also datasets on salaries of health professionals, workforce statistics and trends, wait times for surgeries, and more. CIHI works with the provinces to assemble and standardize data.

6. Sources for International Comparisons

Once you've found Canadian data, you'll often want to compare it against other countries. Luckily, Canada is a member of many international organizations, including the World Bank, the Organization of Economic Cooperation and Development (OECD), the International Monetary Fund (IMF), and United Nations. These sources publish free global datasets that include Canadian figures alongside data for 180+ countries and geographies. The figures are standardized for units, currency, and other measurements, making them easy to compare data across geographies.

  • World Bank Open Data (data.worldbank.org) — covers GDP, health, education, trade, and development indicators

  • IMF Data (imf.org/en/Data) — strong for macroeconomic indicators like inflation, fiscal balances, and exchange rates

  • OECD Data (https://www.oecd.org/en/data.html) — covers GDP, health, education and development indicators for OECD countries. Similar datasets to the World Bank, but more limited in scope, as most datasets only include figures for OECD member nations.

  • United Nations Data: (https://data.un.org/) The United Nations and its agencies have several databases that you can use to find information such as crop production. One of the challenges is figuring out which agency or department has the information you need. A good place to start is here.

We've also written a step-by-step guide on how to download and prepare World Bank data for analysis — worth checking out if you're new to working with international datasets.

Tips for Working With Government Data

Government datasets are reliable, but they often come with some quirks. A few things to keep in mind:

  • Check the vintage. Government data is often published on a lag. A dataset labelled 2024 might only reflect data collected through mid-2023. Statistics Canada also has surveys and datasets that are no longer in use but are still available in their database. Check the notes for updated versions.

  • Watch the geography. Canadian data is frequently published at multiple levels — national, provincial, census metropolitan area (CMA), and census division. Make sure you're looking at the right geographic unit for your analysis.

  • Read the methodology notes. Most StatCan datasets include a guide that explains how the data was collected and any known limitations. It's worth a quick scan before you start analyzing. Other sources, like the Canadian Institute for Health Information, have detailed notes on how the data was compiled, what information is missing, and other useful insights.

  • Look for the CODR table number. Statistics Canada uses a Table ID system. Bookmarking the table number makes it much easier to return to the exact dataset later.

Final Thoughts

Canada's open data ecosystem is genuinely one of the strongest in the world. Between Statistics Canada, the federal open data portal, and provincial and municipal sources, there's almost no topic you can't find data on.

The key is knowing which portal to reach for first. For national-level analysis, start with StatCan. For federal policy and spending questions, go to open.canada.ca. For anything local or city-specific, head to the relevant municipal portal.

Once you've found your dataset, check out our guide on 10 steps to analyze any dataset with confidence to get started on the right foot.

FWD EDITORS

We’re a team of data enthusiasts and storytellers. Our goal is to share stories we find interesting in hopes of inspiring others to incorporate data and data visualizations in the stories they create.

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