CA: Government Expenditure on Education: Total: % of Government Expenditure data was reported at 11.055 % in 2022. This stayed constant from the previous number of 11.055 % for 2021. CA: Government Expenditure on Education: Total: % of Government Expenditure data is updated yearly, averaging 12.663 % from Dec 2008 (Median) to 2022, with 15 observations. The data reached an all-time high of 13.002 % in 2013 and a record low of 9.878 % in 2020. CA: Government Expenditure on Education: Total: % of Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 19, 2023. https://apiportal.uis.unesco.org/bdds.;Median;

Adult correctional services, operating expenditures for provincial, territorial and federal programs, provinces, territories and federal jurisdiction, five years of data.

CA: Health Expenditure: Public: % of Total Health Expenditure data was reported at 70.930 % in 2014. This records a decrease from the previous number of 71.032 % for 2013. CA: Health Expenditure: Public: % of Total Health Expenditure data is updated yearly, averaging 70.370 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 71.248 % in 1995 and a record low of 69.523 % in 2002. CA: Health Expenditure: Public: % of Total Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory) health insurance funds. Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not include provision of water and sanitation.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

Canada CA: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 13.742 Per 1000 in 2020. This records an increase from the previous number of 11.439 Per 1000 for 2019. Canada CA: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 9.711 Per 1000 from Dec 1981 (Median) to 2020, with 40 observations. The data reached an all-time high of 13.742 Per 1000 in 2020 and a record low of 3.690 Per 1000 in 1981. Canada CA: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual. In Canada, new sampling method (weighted sample survey supplemented by administrative tax data) and conceptual changes in the business R&D survey caused a break in series in 2014. From 2012 the coefficients used for estimating R&D expenditure in the Higher Education sector have been revised, as well as the distribution of HERD between funds directly from government for R&D, GUF, and from institutions' own funds. From 2010, the federal government R&D expenditures are better measured. From 1988, the estimated values for R&D in hospitals not covered by university reports are included in the R&D expenditure of the higher education sector (not previously included). From 1989, non-federal sources are no longer excluded from GUF in GBARD.;

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

Employment and Social Development Canada (ESDC) calculates Canada Pension Plan (CPP) monthly maximum benefit amounts for new beneficiaries. CPP monthly maximum new benefit amounts are for recipients starting to receive benefits in a particular month and year. Thereafter, most benefits are indexed annually according to the Consumer Price Index. As of 2019, the CPP is being gradually enhanced every month. CPP benefits now include a base (representing the Plan, as it existed pre-2019) plus an enhancement component. Due to its gradual implementation, the maximum benefits of the enhancement component are increasing on a monthly basis. Before 2019, the CPP retirement benefit replaced 25% of employee earnings up to the yearly maximum pensionable earnings (YMPE). With the enhancement, the retirement benefit will eventually replace 33.33% of employee earnings. The contributions to the CPP enhancement are being phased-in over seven years. There are two portions to the enhancement: • The first portion aims to increase contributions within the existing range of earnings (up to YMPE) and takes place over five years (2019-2023). • The second portion aims to set a higher limit of earnings (increase the YMPE) and will be phased over two years (2024-2025). Only the first portion is currently being phased in. Benefits under the CPP enhancement will continue to grow as individuals work and contribute. Consequently, the maximum CPP pension for new beneficiaries will continue to increase on a monthly basis until the enhancement reaches full maturity in 2065, reflecting the impact of those additional contributions. The dataset presents the monthly maximum amount of each CPP benefit (including combined benefits) from 1967 to 2019. From 1967 to 2018, the monthly maximum amount remained the same during the year, while from 2019 onward, the maximum amount changes every month with the enhancement. Amounts for the post-retirement benefit, children of disabled contributor benefit, children of deceased contributor benefit and death benefit will continue to remain constant throughout the year, as they are not affected by the enhancement. For further information on CPP benefits: Canada Pension Plan - Overview - Canada.ca https://www.canada.ca/en/services/benefits/publicpensions/cpp.html and CPP enhancement: Canada Pension Plan enhancement - Canada.ca https://www.canada.ca/en/services/benefits/publicpensions/cpp/cpp-enhancement.html.

Canada CA: BERD: % of Value Added data was reported at 1.365 % in 2022. This records a decrease from the previous number of 1.488 % for 2021. Canada CA: BERD: % of Value Added data is updated yearly, averaging 1.479 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 1.881 % in 2001 and a record low of 0.863 % in 1981. Canada CA: BERD: % of Value Added data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.MSTI: Business Enterprise Investment on Research and Development: OECD Member: Annual. In Canada, new sampling method (weighted sample survey supplemented by administrative tax data) and conceptual changes in the business R&D survey caused a break in series in 2014. From 2012 the coefficients used for estimating R&D expenditure in the Higher Education sector have been revised, as well as the distribution of HERD between funds directly from government for R&D, GUF, and from institutions' own funds. From 2010, the federal government R&D expenditures are better measured. From 1988, the estimated values for R&D in hospitals not covered by university reports are included in the R&D expenditure of the higher education sector (not previously included). From 1989, non-federal sources are no longer excluded from GUF in GBARD.;

Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

The MSTI variable 'Value added in industry' is used to this end:

It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

Canada military spending/defense budget for 2023 was 27.22 billion US dollars, a 6.47% increase from 2022.

<ul style='margin-top:20px;'>

<li>Canada military spending/defense budget for 2022 was <strong>25.57 billion US dollars</strong>, a <strong>0.81% increase</strong> from 2021.</li>
<li>Canada military spending/defense budget for 2021 was <strong>25.36 billion US dollars</strong>, a <strong>9.88% increase</strong> from 2020.</li>
<li>Canada military spending/defense budget for 2020 was <strong>23.08 billion US dollars</strong>, a <strong>3.07% increase</strong> from 2019.</li>
</ul>Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country).

This table presents planned Full-time Equivalents (FTEs) by Program. This table also aligns planned FTEs with the Whole-of-Government by linking each Program line with its corresponding Government of Canada Spending Area and Activity. Notes: - Planned FTEs is a measure of the extent to which an employee represents a full person-year charge against the departmental budget for future spending years. Full-time equivalents are calculated as a ratio of assigned hours of work to scheduled hours of work. Scheduled hours of work are set out in collective agreements. - Internal Services supports all Government of Canada Activity and Spending Areas but cannot be disaggregated amongst them. Accordingly, for analytical purposes, it is assigned a virtual outcome and a spending area named “Internal Services”. - The data entries with “.” are intentional to distinguish no recorded value for a cell as opposed to an actual recorded value of zero. - This table consolidates 2017-18 Departmental Plans Planned FTE data submitted by federal institutions.

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?

Revenue, expenditure and budgetary balance of six levels of general governments.

Interprovincial Trade Flows (15F0002XDB) The interprovincial and international trade flows for goods and services by province and territory are available at the S-level of commodity aggregation in EXCEL files. National Input - Output Tables (15F0041XDB) The Input-Output accounting system consists of three tables. The input tables (USE tables) detail the commodities that are consumed by various industries. Output tables (MAKE tables) detail the commodities that are prod uced by various industries. Final demand tables detail the commodities bought by many categories of buyers (consumers, industries and government) for both consumption and investment purposes. These tables allow users to track intersectional exchanges of goods and services between industries and final demand categories such as personal expenditures, capital expenditures and public sector expenditures. There are four levels of detail: the "W" or Worksheet level with 303 industries, 727 commodities and 170 final demand categories, the "L" or Link level (the most detailed level that allows the construction of consistent time series of annual data from 1961 to 2002) with 117 industries, 469 commodities and 123 final demand categories, the "M" or Medium level with 62 industries, 111 commodities and 39 final demand categories, and the "S" or Small level with 25 industries, 59 commodities a nd 16 final demand categories. In 2009, several changes were made to the accounting system: there is a new level "D" that is the Detailed level, there are no "M" or "W" level tables, and there are two "L" level tables representing 1961 and 1997 aggregations. Provincial Input-Output Tables (15F0042XDB) The provincial input-output tables are constructed every year. The tables are available at the "S" level only. National and Provincial Multipliers (15F0046XDB) These are a series of Input-Output multipliers and ratios that allow users to quickly estimate the direct, indirect and total impacts of increases in industrial output or increases in an industry's labour force. These are the GDP, labour income, employment and gross output multipliers and ratios. Capital income multipliers and ratios can be calculated by subtracting the labour income figures from the GDP figures. National Symmetric Input-Output Tables - Aggregation Level S (15-207-XC B) The Industry Accounts Division of Statistics Canada publishes annual supply and use input-output (I-O) tables. While these rectangular, industry by commodity closely reflect actual economic transactions, certain analytical and modeling purposes, however, require symmetric industry-by-industry I-O tables. The symmetric industry by industry table shows the inter-industry transactions, that is, all purchases of an industry from all other industries including expenditures on imports and i nventory withdrawals as well as all expenditures on primary inputs. Similarly, the symmetric final demand table shows all purchases by a final demand category from all other industries, including expenditures on imports and inventory withdrawals as well as all expenditures on indirect taxes. National Symmetric Input-Output Tables - Aggregation Level L (15-208-XCB). The Industry Accounts Division of Statistics Canada publishes annual symmetric industry-by-industry I-O tables at the L level. The symmetric industry by industry table shows the inter-industry transactions, that is, all purchases of an industry from all other industries including expenditures on imports and inventory withdrawals as well as all expenditures on primary inputs. Similarly, the symmetric final demand table shows all purchases by a final demand category from all other industries, including expenditures on imports and inventory withdrawals as well as all expenditures on indirect taxes. Provincial GDP by Industry and Sector, at Basic Prices (15-209-XCB). This product presents estimates of Gross Domestic Product (GDP) by industry, in current dollars, evaluated at basic price for all provinces and territories. These estimates are derived from the provincial Input-Output tables. GDP measures the unduplicated value of production. The GDP by industry estimates are derived using a "value added" approach, that is, the value that a producer adds to their intermediate inputs before generating their own output. This allows not only for the computation of total economic production but also the industrial composition and origin of the economic production. When evaluated at basic prices, an industry's GDP is the sum of its factor incomes (wages and salaries, supplementary labour income, mixed income and other operating surplus) plus taxes less subsidies on production (labour and capital). Provincial Gross Output by Industry and Sector (15-210-XCB). This product presents estimates of gross output by industry, in current ... Visit https://dataone.org/datasets/sha256%3Ab4ef6815c9984f712c290b429241bb2852b5574371ee7485e274fa752eb4a89f for complete metadata about this dataset.

This table contains 62 series, with data for years 1961 - 2011 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Valuation (2 items: Book value; Market value); Categories (31 items: Total assets; Non-financial assets; Non-residential structures; Machinery and equipment; ...).

Quarterly series on labour productivity growth and related variables have been published for the first time on December 20th, 2000. These statistical series go back to the first quarter of 1981. The data are published two months after the reference quarter. The quarterly productivity measures are meant to assist in the analysis of the short-run relationship between the fluctuations of output, employment, compensation and hours worked. This measure is fully comparable with the United States quarterly measure. The quarterly estimations of this table are limited to the overall business sector. This aggregate excludes government and non-profit institutions expenditures on primary factors as well as the output of households (including the rental value of owner-occupied dwellings). Corresponding exclusions are also made to labour compensation and hours worked to make output and labour input data consistent with one another. The real output of the business sector is constructed using a Fisher-chained index, after excluding from GDP at market prices the real gross value added of the government sector, of the non-profit institutions and of households (including the rental value of owner-occupied dwellings). This approach is similar to that used for the quarterly productivity of the business sector in the United States. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. This last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is a measure of real gross domestic product (GDP) per hour worked. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. Unit non-labour payments are the non-labour payments associated with each unit of output of goods and services, and they are calculated as the non-labour payments divided by the real output. The implicit price deflator is equal to current-dollar output, divided by real output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Labor share is equal to the labour compensation divided by current dollar output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Current-dollar gross domestic product (GDP) in business sector equals current-dollar GDP in the economy less the gross value added of government, nonprofit institutions, households, and the rental of owner-occupied-dwellings. The output measure is consistent with the Quarterly Income and Expenditure Accounts. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes wages and salaries and employer's social contributions of employees, plus an imputed labour income for self-employed workers. Non-labour payments are the excess of current-dollar output in the business sector over corresponding labour compensation, and include non-labour costs as well as corporate profits and the profit-type income of proprietors. Non-labour costs include interest, depreciation, rent, and indirect business taxes. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars.

In 2023, U.S. national health expenditure as a share of its gross domestic product (GDP) reached 17.6 percent, this was an increase on the previous year. The United States has the highest health spending based on GDP share among developed countries. Both public and private health spending in the U.S. is much higher than other developed countries. Why the U.S. pays so much moreWhile private health spending in Canada stays at around three percent and in Germany under two percent of the gross domestic product, it is nearly nine percent in the United States. Another reason for high costs can be found in physicians’ salaries, which are much higher in the U.S. than in other wealthy countries. A general practitioner in the U.S. earns nearly twice as much as the average physician in other high-income countries. Additionally, medicine spending per capita is also significantly higher in the United States. Finally, inflated health care administration costs are another of the predominant factors which make health care spending in the U.S. out of proportion. It is important to state that Americans do not pay more because they have a higher health care utilization, but mainly because of higher prices. Expected developmentsBy 2031, it is expected that health care spending in the U.S. will reach nearly one fifth of the nation’s gross domestic product. Or in dollar-terms, health care expenditures will accumulate to about seven trillion U.S. dollars in total.

Revenue, expenditure and budgetary balance of 7 levels of general governments, by province and territory.

In 2024, digital advertising spending in Canada will amount to an estimated ***** billion Canadian dollars, up from ***** billion dollars a year earlier. That represents a 10-percent annual growth in Canada's online ad spending. The figure was forecast to continue to expand, exceeding **** billion dollars by 2028. Digital advertising in Canada - additional informationOn a global scale, digital advertising expenditures are calculated to reach *** billion U.S. dollars in 2015, and grow by another ** billion by the end of 2016. On the Canadian market, 2015 is expected to end with ad spend reaching **** billion Canadian dollars, while 2018 predictions see it close with **** billion Canadian dollars worth of advertising expenses. Additionally, sources expect digital to account for **** percent of total advertising spending in 2015. Looking at format breakdown of ad expenditures in the country, search held the largest share - approximately **** million Canadian dollars was devoted to this format in 2015; another big chunk of the budgets belonged to traditional display – **** million.According to the majority of marketers in Canada, the future of the industry is digital. When asked to identify the devices important for advertising, ** percent indicated the computer, ** pointed to the mobile phone and ** believed it was the tablet, on par with the TV. However, desktop advertising might be at risk owing to the growing popularity of adblocking. In mid 2015, among Canadian desktop site visitors aged between 18 and 24 years, **** percent recorded an instance of ad blocker use.All in all, 40 percent of consumers younger than 35 years declare to perceive online advertising as trustworthy. This share is slightly higher among older generations. The least trusting toward digital ads are consumers aged 65 and older. Main reasons why they deem online ads as not worthy of their trust is because they perceive them as false, manipulative, leading to phishing and malware attacks and because the internet is unmonitored as such.

Percentage of total research and development (R&D) expenditure by performing sector. This table is included in Section D: Postsecondary education: Research and development of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

This table contains 508 series, with data for years 1961 - 1980 (not all combinations necessarily have data for all years), and was last released on 2007-01-16. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Newfoundland and Labrador; Prince Edward Island; New Brunswick; Nova Scotia ...), Sector (2 items: Government sector; Federal government ...), Revenue and expenditure (20 items: Total revenue; Direct taxes; from persons; Direct taxes; from corporations and government business enterprises; Direct taxes; from non-residents (withholding taxes) ...).

Weighted average tuition fees by field of study for full-time Canadian undergraduate students. Data are collected from all publicly funded Canadian degree-granting institutions.