Government Revenues in Canada decreased to 44977 CAD Million in March from 51247 CAD Million in February of 2025. This dataset provides - Canada Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Personal income tax is collected annually from Ontario residents and those who earned income in the province. The tax is calculated separately from federal income tax. There are 5 Ontario income tax brackets and 5 corresponding tax rates. For an explanation of these rates and credits, refer to the federal and provincial personal income tax return for the applicable year. To get a copy of the return (also known as a T1) contact the Canada Revenue Agency at 1-800-959-8281 or visit canada.ca/cra-forms. Read on: about personal income tax This data is related to: * Filing your tax return * Taxes and benefits * Business income tax Related data: * Personal income tax * Provincial tax database

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

This table provides individual taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian taxfilers that pay tax or receive government transfers.

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

Purpose:

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

Individuals; Tax filers and dependants by total income, sex and age groups (final T1 Family File; T1FF).

Gasoline tax rates were last changed on July 1, 2022. The current rates are: * unleaded gasoline - 9¢ per litre * leaded gasoline - 17.7¢ per litre The Aviation fuel tax rate was last changed on April 1, 2017. The current rate is 6.7¢ per litre. Effective January 1, 2020, a new rate was established for Northern Ontario. The rate for Northern Ontario is 2.7¢ per litre. The Gasoline Tax Act has been amended to eliminate the taxation of propane under the Act, beginning July 1, 2025. * However, interjurisdictional carriers who acquires propane anywhere will pay a tax at the rate of 0 cents per litre on all propane used by the interjurisdictional carrier in Ontario to generate power in a qualified motor vehicle. You can download the dataset to view the historical price points for these taxes.

The Social Policy Simulation Database and Model (SPSD/M) is a tool designed to assist those interested in analyzing the financial interactions of governments and individuals in Canada. It can help one to assess the cost implications or income redistributive effects of changes in the personal taxation and cash transfer system. As the name implies, SPSD/M consists of two integrated parts: a database (SPSD), and a model (SPSM). The SPSD is a non-confidential, statistically representative database of individuals in their family context, with enough information on each individual to compute taxes paid to and cash transfers received from government. The SPSM is a static accounting model which processes each individual and family on the SPSD, calculates taxes and transfers using legislated or proposed programs and algorithms, and reports on the results. A sophisticated software environment gives the user a high degree of control over the inputs and outputs to the model and can allow the user to modify existing programs or test proposals for entirely new programs. The model comes with full documentation including an on-line help facility. Users and Applications The SPSD/M has been used in hundreds of sites across Canada. These sites have diverse research interests in the area of income tax-transfer and commodity tax systems in Canada as well as varied experience in micro-simulation. Our growing client base includes federal departments, provincial governments, universities, interest groups, corporate divisions, and private consultants. The diverse applications of the SPSD/M can be seen in the following examples of studies and published research reports: Costing out proposals for amendments to the Income Tax Act affecting the tax treatment of seniors and the disabled Estimating the fiscal viability of major personal tax reform options, including three flat tax scenarios The comparison low income (poverty) measures and their effect on the estimates of the number of poor An Analysis of the Distributional Impact of the Goods and Services Tax Married and Unmarried Couples: The Tax Question Taxes and Transfers in Rural Canada Equivalencies in Canadian Public Policy When the Baby Boom Grows Old: Impact on Canada's Public Sector Some potential uses of the model are illustrated by the following list of questions which may be answered using the SPSM: How large an increase in the federal Child Tax Benefit could be financed by allocating an additional $500 million to the program? Which province would have the most advantageous tax structure for an individual with $45,000 earned income, 2 children and $15,000 of investment income? What is the after-tax value of the major federal child support programs on a per child basis, and how are these benefits distributed across family types and income groups? How many individuals otherwise paying no tax would have to pay tax under various minimum tax systems, and what would additional government revenues be? How much money would be needed to raise all low income families and persons to Statistics Canada's low income cut-offs in 2014? How much would average household "consumable" income rise if a province eliminated its gasoline taxes? How much would federal government revenue rise by if there was an increase in the GST rate?

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

This archive contains the codes used to produce all of the analysis included in the three chapters of the thesis. (2023-09-14) The code makes use of two sources of data: the Canadian Tax and Credit Simulator (created by Kevin Milligan of UBC) and the Longitudinal Administrative Databank (LAD), a dataset hosted by Statistics Canada. To reproduce the analysis, one must obtain a copy of the CTaCS, by contacting professor Milligan: https://sites.google.com/view/kevin-milligan/home/ctacs The CTaCS is used in conjunction with the LAD and separately to produce illustrative simulations. This archive can be used to reproduce the tables and graphs shown in the thesis, but the underlying source of data, the LAD, must be accessed by interested researchers in one of Statistics Canada's Research Data Centers. The process to gain access to such facilities is detailed here: https://www.statcan.gc.ca/en/microdata/data-centres/access The archive contains code in R and Stata.

This table provides census family taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian census families that pay tax or receive government transfers.

Municipal property taxes are set by the council of each municipality and help fund a variety of municipal services and programs provided by the municipality. There are two different types of tax rates: residential and commercial. All tax rates are applied per $100 of taxable property assessment value. Municipal tax revenue is calculated by multiplying the property assessment value by the applicable tax rate per $100 of assessment value.

After employment income (earnings), government transfer payments make up the next largest component of total income for individuals. Government transfer payments, such as old-age pensions, employment insurance benefits, child tax benefits and Goods and Services Tax credits, contributed 10 cents of every dollar (on average) to family income. Family income is the combined income of all family members from all sources before income taxes are deducted.

Individuals; Tax filers by age groups and income groups (preliminary T1 Family File; T1FF).

The Social Policy Simulation Database and Model (SPSD/M), Version 15.0 based on 2003 microdata, is now available. The most recent SPSD/M can be used to study the impacts of changes to federal and provincial tax and benefit programs on families and governments from 1991 through 2012. The SPSD/M is a tool designed to analyze the financial interactions of governments and individuals/families in Canada. It enables the estimation of the income redistributive effects or cost implications of changes in the personal taxation (including GST and other commodity taxes) and cash transfer systems. The SPSD/M assists analysts in examining the potential impacts of changes in taxes, earnings, demographic trends, and a wide range of other factors. The SPSD/M allows analysts to answer "what-if" types of questions. What if there were changes to the taxes Canadians paid or transfers they received--who would gain and who would lose? Would single parent households in a particular province be better off? By how much? How much extra money would federal or provincial governments collect or pay out? As its name implies, the SPSD/M is comprised of both a database (SPSD) and a model (SPSM). The SPSD is a statistically-representative database of individuals in their family context with enough information on each individual to compute taxes paid to and cash transfers received from the federal and provincial governments. It is created by statistically combining data from survey and administrative sources. The SPSM is a static accounting model that processes each individual and family on the SPSD, calculates transfers and taxes (including income, payroll, and commodity taxes) using legislated or proposed programs and algorithms, and reports on the results. This microsimulation model can be run using a visual interface. Extensive documentation on both the SPSD and the SPSM is included. Definitions, data sources and methods: survey number 3889. When the zipped file is uncompressed (spsdm-v15-bdmsps.zip), run X:\setup\setup.exe where X is the letter of the target drive.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

The Ontario government, generates and maintains thousands of datasets. Since 2012, we have shared data with Ontarians via a data catalogue. Open data is data that is shared with the public. Click here to learn more about open data and why Ontario releases it. Ontario’s Open Data Directive states that all data must be open, unless there is good reason for it to remain confidential. Ontario’s Chief Digital and Data Officer also has the authority to make certain datasets available publicly. Datasets listed in the catalogue that are not open will have one of the following labels: If you want to use data you find in the catalogue, that data must have a licence – a set of rules that describes how you can use it. A licence: Most of the data available in the catalogue is released under Ontario’s Open Government Licence. However, each dataset may be shared with the public under other kinds of licences or no licence at all. If a dataset doesn’t have a licence, you don’t have the right to use the data. If you have questions about how you can use a specific dataset, please contact us. The Ontario Data Catalogue endeavors to publish open data in a machine readable format. For machine readable datasets, you can simply retrieve the file you need using the file URL. The Ontario Data Catalogue is built on CKAN, which means the catalogue has the following features you can use when building applications. APIs (Application programming interfaces) let software applications communicate directly with each other. If you are using the catalogue in a software application, you might want to extract data from the catalogue through the catalogue API. Note: All Datastore API requests to the Ontario Data Catalogue must be made server-side. The catalogue's collection of dataset metadata (and dataset files) is searchable through the CKAN API. The Ontario Data Catalogue has more than just CKAN's documented search fields. You can also search these custom fields. You can also use the CKAN API to retrieve metadata about a particular dataset and check for updated files. Read the complete documentation for CKAN's API. Some of the open data in the Ontario Data Catalogue is available through the Datastore API. You can also search and access the machine-readable open data that is available in the catalogue. How to use the API feature: Read the complete documentation for CKAN's Datastore API. The Ontario Data Catalogue contains a record for each dataset that the Government of Ontario possesses. Some of these datasets will be available to you as open data. Others will not be available to you. This is because the Government of Ontario is unable to share data that would break the law or put someone's safety at risk. You can search for a dataset with a word that might describe a dataset or topic. Use words like “taxes” or “hospital locations” to discover what datasets the catalogue contains. You can search for a dataset from 3 spots on the catalogue: the homepage, the dataset search page, or the menu bar available across the catalogue. On the dataset search page, you can also filter your search results. You can select filters on the left hand side of the page to limit your search for datasets with your favourite file format, datasets that are updated weekly, datasets released by a particular organization, or datasets that are released under a specific licence. Go to the dataset search page to see the filters that are available to make your search easier. You can also do a quick search by selecting one of the catalogue’s categories on the homepage. These categories can help you see the types of data we have on key topic areas. When you find the dataset you are looking for, click on it to go to the dataset record. Each dataset record will tell you whether the data is available, and, if so, tell you about the data available. An open dataset might contain several data files. These files might represent different periods of time, different sub-sets of the dataset, different regions, language translations, or other breakdowns. You can select a file and either download it or preview it. Make sure to read the licence agreement to make sure you have permission to use it the way you want. Read more about previewing data. A non-open dataset may be not available for many reasons. Read more about non-open data. Read more about restricted data. Data that is non-open may still be subject to freedom of information requests. The catalogue has tools that enable all users to visualize the data in the catalogue without leaving the catalogue – no additional software needed. Have a look at our walk-through of how to make a chart in the catalogue. Get automatic notifications when datasets are updated. You can choose to get notifications for individual datasets, an organization’s datasets or the full catalogue. You don’t have to provide and personal information – just subscribe to our feeds using any feed reader you like using the corresponding notification web addresses. Copy those addresses and paste them into your reader. Your feed reader will let you know when the catalogue has been updated. The catalogue provides open data in several file formats (e.g., spreadsheets, geospatial data, etc). Learn about each format and how you can access and use the data each file contains. A file that has a list of items and values separated by commas without formatting (e.g. colours, italics, etc.) or extra visual features. This format provides just the data that you would display in a table. XLSX (Excel) files may be converted to CSV so they can be opened in a text editor. How to access the data: Open with any spreadsheet software application (e.g., Open Office Calc, Microsoft Excel) or text editor. Note: This format is considered machine-readable, it can be easily processed and used by a computer. Files that have visual formatting (e.g. bolded headers and colour-coded rows) can be hard for machines to understand, these elements make a file more human-readable and less machine-readable. A file that provides information without formatted text or extra visual features that may not follow a pattern of separated values like a CSV. How to access the data: Open with any word processor or text editor available on your device (e.g., Microsoft Word, Notepad). A spreadsheet file that may also include charts, graphs, and formatting. How to access the data: Open with a spreadsheet software application that supports this format (e.g., Open Office Calc, Microsoft Excel). Data can be converted to a CSV for a non-proprietary format of the same data without formatted text or extra visual features. A shapefile provides geographic information that can be used to create a map or perform geospatial analysis based on location, points/lines and other data about the shape and features of the area. It includes required files (.shp, .shx, .dbt) and might include corresponding files (e.g., .prj). How to access the data: Open with a geographic information system (GIS) software program (e.g., QGIS). A package of files and folders. The package can contain any number of different file types. How to access the data: Open with an unzipping software application (e.g., WinZIP, 7Zip). Note: If a ZIP file contains .shp, .shx, and .dbt file types, it is an ArcGIS ZIP: a package of shapefiles which provide information to create maps or perform geospatial analysis that can be opened with ArcGIS (a geographic information system software program). A file that provides information related to a geographic area (e.g., phone number, address, average rainfall, number of owl sightings in 2011 etc.) and its geospatial location (i.e., points/lines). How to access the data: Open using a GIS software application to create a map or do geospatial analysis. It can also be opened with a text editor to view raw information. Note: This format is machine-readable, and it can be easily processed and used by a computer. Human-readable data (including visual formatting) is easy for users to read and understand. A text-based format for sharing data in a machine-readable way that can store data with more unconventional structures such as complex lists. How to access the data: Open with any text editor (e.g., Notepad) or access through a browser. Note: This format is machine-readable, and it can be easily processed and used by a computer. Human-readable data (including visual formatting) is easy for users to read and understand. A text-based format to store and organize data in a machine-readable way that can store data with more unconventional structures (not just data organized in tables). How to access the data: Open with any text editor (e.g., Notepad). Note: This format is machine-readable, and it can be easily processed and used by a computer. Human-readable data (including visual formatting) is easy for users to read and understand. A file that provides information related to an area (e.g., phone number, address, average rainfall, number of owl sightings in 2011 etc.) and its geospatial location (i.e., points/lines). How to access the data: Open with a geospatial software application that supports the KML format (e.g., Google Earth). Note: This format is machine-readable, and it can be easily processed and used by a computer. Human-readable data (including visual formatting) is easy for users to read and understand. This format contains files with data from tables used for statistical analysis and data visualization of Statistics Canada census data. How to access the data: Open with the Beyond 20/20 application. A database which links and combines data from different files or applications (including HTML, XML, Excel, etc.). The database file can be converted to a CSV/TXT to make the data machine-readable, but human-readable formatting will be lost. How to access the data: Open with Microsoft Office Access (a database management system used to develop application software). A file that keeps the original layout and

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

The primary purpose of the authority codes is to identify expenditure transactions for accountability and reporting in the Public Accounts of Canada according to the specific votes and other authorities in the Estimates, other authorities included in specific statutes; and in addition, to identify the nature of revenue, by tax and non-tax revenue. Other authority codes (non-appropriated authorities) are also established by central agencies to facilitate the identification of various accounting transactions that do not require the use of appropriations. An appropriation is an authority of Parliament to pay money out of the Consolidated Revenue Fund (CRF) and as such, provides parliamentarians with control over most expenditures of the government. As a general rule, transactions are recorded against an appropriation on an expenditure basis; however, there are certain expenditures that are not charged to an appropriation until a payment is required. The authority code identify expenditures transactions as follows: Statutory expenditures Statutory expenditures are those that Parliament has approved through legislation (other than Appropriations Act) that set out the purpose of the expenditures and the terms and conditions under which they may be made. Non-statutory expenditures are those that Parliament approves annually through an Appropriation Act. Once approved the vote wording and the expenditure authority attributable to each vote become the governing conditions under which these expenditures may be made. Non-appropriated transactions Non-appropriated authority codes identify accounting transactions that do not require the use of appropriations (i.e., expenditure or revenue are already recognized [e.g., amortization expense or the receipt of revenue credited to vote] or expenditure is not charged to appropriations until the payment is required [e.g., severance pay]).