This graph shows the real Gross Domestic Product (GDP) of Canada in 2023, by province. In 2023, Ontario added about 852.7 billion chained (2017) Canadian dollars of value to the real GDP of Canada.

The statistic shows the gross domestic product (GDP) per capita in Canada from 1987 to 2023, with projections up until 2029. In 2023, the gross domestic product per capita in Canada was around 53,607.4 U.S. dollars. Canada's economy GDP per capita is a measurement often used to determine economic growth and potential increases in productivity and is calculated by taking the GDP and dividing it by the total population in the country. In 2014, Canada had one of the largest GDP per capita values in the world, a value that has grown continuously since 2010 after experiencing a slight downturn due to the financial crisis of 2008. Canada is seen as one of the premier countries in the world, particularly due to its strong economy and healthy international relations, most notably with the United States. Canada and the United States have political, social and economical similarities that further strengthen their relationship. The United States was and continues to be Canada’s primary and most important trade partner and vice versa. Canada’s economy is partly supported by its exports, most notably crude oil, which was the country’s largest export category. Canada was also one of the world’s leading oil exporters in 2013, exporting more than the United States. Additionally, Canada was also a major exporter of goods such as motor vehicles and mechanical appliances, which subsequently ranked the country as one of the world’s top export countries in 2013.

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

Annual adjusted household disposable income including social transfers in kind.

This statistic depicts the median annual family income in Canada in 2021, distinguished by province. In 2021, the median annual family income in Alberta was 106,960 Canadian dollars.

Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in chained and current dollars, growth rate.

Long-run estimates of economic variables for the provinces and territories. Estimates relate to prices, income and population. The data were originally compiled for the following research paper: M. Brown and R. Macdonald, 2015, Provincial Convergence and Divergence in Canada, 1926 to 2011, Statistics Canada Catalogue no. 11F0027M, Ottawa, Ontario, Economic Analysis Research Paper Series, no. 096.

The statistic shows the median income in Canada in 2020, distinguished by province. In 2020, the median income for Canadian tax filers in Ontario amounted to 40,630 Canadian dollars.

Household income statistics by household type (couple family, one-parent family, non-census family households) and household size for Canada, provinces and territories, census divisions and census subdivisions.

The Gross Domestic Product per capita in Canada was last recorded at 56686.92 US dollars in 2023, when adjusted by purchasing power parity (PPP). The GDP per Capita, in Canada, when adjusted by Purchasing Power Parity is equivalent to 319 percent of the world's average. This dataset provides - Canada GDP per capita PPP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Income-based gross domestic product, by province and territory.

As of July 2018, Quebec is the province where Canadians consume alcohol most frequently – some 57 percent of survey respondents stated that they drink alcohol at least once a week. In comparison, 28 percent of respondents, less than half of those in Quebec, claimed that they drank alcohol at least once a week in Atlantic Canada.

Other factors impacting alcohol consumption

It is clear from the given statistic that alcohol consumption frequency varies quite widely between provinces. The same survey compared Canadians’ drinking habits based on their political party, income and education level. The main takeaways from the survey were that Liberal voters, high earners and/or university graduates were more likely to consume alcohol more often.

Provincial per capita consumption

Despite Quebecois claiming to drink alcohol most frequently out of all the provinces, consumers in the Northwest Territories bought the most alcohol in the 2017/18 fiscal year - Canadians spent, on average, 1,494.4 Canadian dollars per capita on alcoholic beverages there in that year. Comparatively, consumers in Quebec spent 780.2 Canadian dollars per capita on alcohol.

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

This table contains 11 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2009-01-21. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Income-based estimates (11 items: Gross domestic product (GDP) at market prices; Net domestic income at factor cost; Wages; salaries and supplementary labour income; Corporation profits before taxes ...).

This table contains 186 series (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Income quintile (6 items: All quintiles; Lowest income quintile; Second income quintile; Third income quintile; ...); Socio-demographic characteristics (31 items: All households; One-person households; Single less than 65 years; Single 65 years and older; ...).

Key information about Canada Government Debt: % of GDP

• Canada Government debt accounted for 69.4 % of the country's Nominal GDP in Mar 2024, compared with the ratio of 66.9 % in the previous year.
• Canada government debt to GDP ratio data is updated yearly, available from Mar 1962 to Mar 2024.
• The data reached an all-time high of 83.6 % in Mar 1996 and a record low of 33.1 % in Mar 1977.

CEIC calculates Government Debt as % of Nominal GDP from annual Government Debt and quarterly Nominal GDP. The Department of Finance Canada provides Government Debt in local currency. Statistics Canada provides Nominal GDP in local currency based on CSNA 2012/SNA 2008. Government Debt as % of Nominal GDP is in annual frequency, ending in March of each year.


Related information about Canada Government Debt: % of GDP

• In the latest reports, Canada National Government Debt reached 1,519.8 USD bn in Mar 2024.
• The country's Nominal GDP reached 520.3 USD bn in Mar 2023.

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 geography-specific; 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% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Canada has a system of health care that is financed through taxation and public funding. As of 2024, the total per capita expenditure in Canada for health care was estimated to be about 9,053.5 Canadian dollars. This is an increase from the previous years and a significant increase from the 1970s, just prior to the implementation of the 1984 Canadian Health Act. The Canadian health system Canada has one of the highest health expenditures as a percentage of GDP among developed countries. The Canadian health care system is funded and administered by the provinces and territories. There are several principles that the system is founded on: public administration of the system is non-profit, plans must be comprehensive, all residents must be able to access the public health care system, health care should be accessible to anyone anywhere in Canada, and there should be few barriers to accessing healthcare. Despite the attempts at making the system equal across Canada, there are still major differences. For example, Nunavut has some of the highest per capita provincial/territorial governmental health care spending in all of Canada. Health financing in Canada Between the public and private sectors of Canada’s health system, the public sector is responsible for a majority of the health expenditures. Provincial governments are responsible for most of the health care funding, followed by direct federal funds. Drug expenditures, however, are primarily financed through private sector resources.

Note: The data release is complete as of August 14th, 2023.
1. (Added April 4th) Canada and Census Divisions = Early April 2023
2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023
3a. (Added June 8th) Manitoba and Saskatchewan CSDs
3b. (Added June 12th) Quebec CSDs = June 12th 2023
4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023
5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023.

For more information, please visit HART.ubc.ca.

Housing Assessment Resource Tools (HART)

This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension.

Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others.

The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide

Custom order from Statistics Canada includes the following dimensions and data fields:

Geography:
- Country of Canada, all CDs & Country as a whole
- All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole
- All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole

Data Quality and Suppression:
- The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released.

- Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada

- When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed.

Universe:
Full Universe:
Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero.

Households examined for Core Housing Need:
Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances.

Data Fields:
Note 1: Certain data fields from the original .ivt files were not included in the .csv extracts. Those data fields have been marked with an asterisk (*) below.

Note 2: Certain data fields are new for the 2021 census data order. Those data fields have been marked with a double asterisk (**) below.

Note 3: Certain data fields appear in a different order in 2021 compared to 2016. Those data fields have been marked with a triple asterisk (***) below.

Housing indicators in Core Housing Universe (12)
1. Total - Private Households by core housing need status*
2. Households examined for core housing need
3. Households in core housing need
4. Below one standard only*
5. Below affordability standard only*
6. Below adequacy standard only*
7. Below suitability standard only*
8. Below 2 or more standards*
9. Below affordability and suitability*
10. Below affordability and adequacy*
11. Below suitability and adequacy*
12. Below affordability, suitability, and adequacy*

Tenure Including Presence of Mortgage and Subsidized Housing; Household size (13)
1. Total - Private households by tenure including presence of mortgage payments and subsidized housing*
2. Owner*
3. With mortgage*
4. Without mortgage*
5. Renter*
6. Subsidized housing*
7. Not subsidized housing*
8. Total - Household size
9. 1 person
10. 2 persons
11. 3 persons
12. 4 persons
13. 5 or more persons household

Shelter costs groups/statistics (20)
1. Total – Private households by household income proportion to AMHI_1
2. Households with income 20% or under of area median household income (AMHI)
3. Households with income 21% to 50% of AMHI
4. Households with income 51% to 80% of AMHI
5. Households with income 81% to 120% of AMHI
6. Households with income 121% or more of AMHI
7. Total – Private households by household income proportion to AMHI_2*
8. Households with income 30% and under of AMHI*
9. Households with income 31% to 60% of AMHI*
10. Households with income 61% or more of AMHI*
11. Total – Private households by shelter cost proportion to AMHI_1*
12. Households with shelter cost 0.5% and under of AMHI*
13. Households with shelter cost 0.6% to 1.25% of AMHI*
14. Households with shelter cost 1.26% to 2% of AMHI*
15. Households with shelter cost 2.1% to 3% of AMHI*
16. Households with shelter cost 3.1% or more of AMHI*
17. Total – Private households by shelter cost proportion to AMHI_2*
18. Households with shelter cost 0.75% or under of AMHI*
19. Households with shelter cost 0.76% to 1.5% of AMHI*
20. Households with shelter cost 1.6% or more of AMHI*

Selected characteristics of the households (65)
1. Total – Private households by presence of at least one or of the combined activity limitations (Q11d or Q11e or combined)***
2. Household has at least one person with activity limitations reported for Q11d and Q11e or combined Q11d and Q11e health issues***
3. Total - Private households by presence of at least one or of the combined activity limitations (Q11a, Q11b, Q11c or Q11f or combined)***
4. Household has at least one person who had at least one or of combined activity limitations reported for Q11a, Q11b, Q11c or Q11f***
5.Total - Private households by household type including census family structure*
6. Census family households*
7. One-census-family households without additional person*
8. One couple census family without other persons in the household*
9. Without children*
10. With children*
11. One lone-parent census family without other persons in the household*
12. One-census-family households with additional persons*
13. One couple census family with other persons in the household*
14. Without children*
15. With children*
16. One lone-parent census family with other persons in the household*
17. Multiple-family households*
18. Non-census-family households*
19. Non-family households: One person only*
20. Two-or-more person non-census-family household*
21. Total - Private households by Indigenous household status*
22. Indigenous household status*
23. Total - Private households by visible minority households
24. Visible Minority

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 produced 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 and 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 (15-207-XCB) The symmetric industry by industry input-output tables show inter-industry transactions, that is, all purchases of an industry from all other industries as well as expenditures on imports and the components of value added such as wages and gross operating surplus. Similarly, the symmetric final demand tables show all purchases by each final demand category from all industries as well as expenditures on imports. The symmetric input-output tables are analytically derived from the industry by product supply and use tables. The tables are available at the Detail level and at the Link 1997, Link 1961 and Summary aggregations. National Symmetric Input-Output Tables - Aggregation Level S (15-207-XCB) 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 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. 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...