This statistic shows the Gross Domestic Product (GDP) of Canada in February 2024, distinguished by major industry. In February 2024, the construction industry of Canada contributed about 160.97 billion Canadian dollars to the total Canadian GDP.

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

Canada CA: GDP: Real: GNI per Capita data was reported at 57,691.421 CAD in 2023. This records a decrease from the previous number of 59,961.100 CAD for 2022. Canada CA: GDP: Real: GNI per Capita data is updated yearly, averaging 40,253.761 CAD from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 59,961.100 CAD in 2022 and a record low of 25,697.334 CAD in 1970. Canada CA: GDP: Real: GNI per Capita 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: Gross Domestic Product: Real. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

Gross Domestic Product (GDP) at basic prices, by various North American Industry Classification System (NAICS) aggregates, volume measures, lowest industry levels only, (dollars x 1,000,000), annual average, 5 most recent time periods.

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.

Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita data was reported at -1.855 % in 2023. This records a decrease from the previous number of 1.956 % for 2022. Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 1.848 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 5.448 % in 1962 and a record low of -6.062 % in 2020. Canada CA: GDP: Growth:(GDP) Gross Domestic Productper Capita 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: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

Canada GDP per Person Employed: 2021 PPP data was reported at 108,315.011 Intl $ in 2023. This records a decrease from the previous number of 110,515.489 Intl $ for 2022. Canada GDP per Person Employed: 2021 PPP data is updated yearly, averaging 102,444.890 Intl $ from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 111,375.145 Intl $ in 2021 and a record low of 83,009.608 Intl $ in 1991. Canada GDP per Person Employed: 2021 PPP 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: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2021 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;

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

This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in Canada from 2010 to 2020. In 2020, agriculture contributed around 1.84 percent to the GDP of Canada, 22.45 percent came from the industry and 69.56 percent from the service sector.

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.

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.

Canada CA:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data was reported at 94,841.780 Intl $ in 2022. This records a decrease from the previous number of 95,371.301 Intl $ for 2021. Canada CA:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data is updated yearly, averaging 86,928.913 Intl $ from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 95,371.301 Intl $ in 2021 and a record low of 70,547.079 Intl $ in 1991. Canada CA:(GDP) Gross Domestic Productper Person Employed: 2017 PPP 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: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in chained (2017) and current dollars (dollars x 1,000,000).

Canada CA: GDP: GNI per Capita data was reported at 71,013.391 CAD in 2023. This records a decrease from the previous number of 71,307.815 CAD for 2022. Canada CA: GDP: GNI per Capita data is updated yearly, averaging 24,313.767 CAD from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 71,307.815 CAD in 2022 and a record low of 2,239.560 CAD in 1960. Canada CA: GDP: GNI per Capita 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: Gross Domestic Product: Nominal. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current local currency.;World Bank national accounts data, and OECD National Accounts data files.;;

The statistic shows the distribution of the workforce across economic sectors in Canada from 2013 to 2023. In 2023, 1.27 percent of the workforce were employed in agriculture, 19.21 percent in the industry and 79.51 percent in services.

This table contains 1827 series, with data for years 1984 - 1996 (not all combinations necessarily have data for all years), and was last released on 2009-01-19. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Newfoundland and Labrador; Nova Scotia; New Brunswick; Prince Edward Island ...) Prices (3 items: Current dollars; 1986 constant dollars; 1981 constant dollars (1984 to 1986) ...) Industry (69 items: Agricultural and related services industries; Mining; quarrying and oil well industries; Logging and forestry industries; Fishing and trapping industries ...).

Annual expenditure-based, gross domestic product, by province and territory in chained, current and constant 2017 dollars.

Canada CA: GDP: Growth: GNI per Capita data was reported at -3.785 % in 2023. This records a decrease from the previous number of 2.983 % for 2022. Canada CA: GDP: Growth: GNI per Capita data is updated yearly, averaging 1.722 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 8.596 % in 2021 and a record low of -7.215 % in 2009. Canada CA: GDP: Growth: GNI per Capita 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: Gross Domestic Product: Annual Growth Rate. Annual percentage growth rate of GNI per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. With the release of the survey results only 13 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Human Resources Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector. Note: Because missing values are removed from this dataset, any form of non-response (e.g. valid skip, not stated) or don't know/refusal cannot be coded as a missing. The "Sysmiss" label in the Statistics section indicates the number of non-responding records for each variable, and the "Valid" values in the Statistics section indicate the number of responding records for each variable. The total number of records for each variable is comprised of both the sysmiss and valid values. LFS revisions: LFS estimates were previously based on the 2001 Census population estimates. These data have been adjusted to reflect 2006 Census population estimates and were revised back to 1996.