Data on paid workers jobs, hours worked and wages and salaries in the Canadian economy by workers' characteristics. This includes sex, age, level of education, immigration status and visible minority status by industry and province or territory.

This presentation provides an overview of the Input-Ouput (IO) Accounts and its structure within Statistics Canada. The next section looks at the accounting identities, valuation and commodity balances, and industry and commodity classifications. Then the national and interprovincial trade flows within the IO framework are examined. Examples are followed by references.

This publication contains a series of data tables that provide estimates on the investment, stock, useful life, economic contribution and depreciation of infrastructure for Canada and each province and territory. The infrastructure economic accounts represents a set of statistical statements that record the economic, social and environmental impacts related to the production and use of infrastructure in Canada and each province and territory. The infrastructure economic accounts are organized using a statistical framework that outlines the concepts, classification systems and methods required to construct the accounts. This statistical framework is consistent with the Canadian system of national accounts, Canadian government finance statistics and Canada’s balance of payments. This consistency permits users to analyze the infrastructure related statistical statements in the context of economy wide measures such as investment, gross domestic product (GDP), national income and wealth.

Labour statistics consistent with the System of National Accounts (SNA), by economic regions, job category and work schedule.

This Alberta Official Statistic presents annual per cent change for Alberta and Canada real Gross Domestic Product (GDP) for Primary Agriculture Industries, 2008-2014. Gross Domestic Product (GDP) is a measure of the economic production which takes place within a geographical area. The term "gross" in GDP means that capital consumption costs, that is the costs associated with the depreciation of capital assets (buildings, machinery and equipment), are included. The production estimates are prepared for 215 separate industries using the North American Industrial Classification System (NAICS). Real GDP is gross domestic product adjusted for price changes. By taking out the impact of fluctuation in prices, real GDP allows people to more accurately measure the changes in total output and service for a jurisdiction. GDP measures are part of the Canadian System of National Accounts (SNA). The SNA provides a conceptually integrated framework of statistics for studying the state and behavior of the Canadian economy. The accounts are centered on the measurement of activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions.

This Alberta Official Statistic presents annual per cent change for Alberta and Canada real Gross Domestic Product (GDP) for Primary Agriculture Industries, 2008-2014. Gross Domestic Product (GDP) is a measure of the economic production which takes place within a geographical area. The term "gross" in GDP means that capital consumption costs, that is the costs associated with the depreciation of capital assets (buildings, machinery and equipment), are included. The production estimates are prepared for 215 separate industries using the North American Industrial Classification System (NAICS). Real GDP is gross domestic product adjusted for price changes. By taking out the impact of fluctuation in prices, real GDP allows people to more accurately measure the changes in total output and service for a jurisdiction. GDP measures are part of the Canadian System of National Accounts (SNA). The SNA provides a conceptually integrated framework of statistics for studying the state and behavior of the Canadian economy. The accounts are centered on the measurement of activities associated with the production of goods and services, the sales of goods and services in final markets, the supporting financial transactions, and the resulting wealth positions.

Labour statistics consistent with the System of National Accounts (SNA), by industry, job category and work schedule.

The data provides default emission factors for calculating greenhouse gas emissions each year. It also includes a detailed overview of the methodology used in the development of the emission factors.

This data is used for required reporting under Ontario's cap & trade program.

Under the program, electricity importers are required to report the emissions associated with electricity imported into Ontario and submit carbon allowances for these emissions.

The regions and provinces covered in the data include:

• Independent Systems Operator New England (ISO-NE)
• Pennsylvania-New Jersey-Maryland Interconnection (PJM)
• Midcontinent Independent System Operator (MISO)
• New York Independent Systems Operator (NYISO)
• Manitoba
• Quebec
• Unspecified (other)

Learn more about default emission factors.

Number and proportion of population in core housing need, by economic family structure, sex, age group and selected demographic characteristics, Canada, provinces and territories.

This publication contains a series of data tables that provide estimates on the investment, stock, useful life, economic contribution and depreciation of infrastructure for Canada and each province and territory. The infrastructure economic accounts represents a set of statistical statements that record the economic, social and environmental impacts related to the production and use of infrastructure in Canada and each province and territory. The infrastructure economic accounts are organized using a statistical framework that outlines the concepts, classification systems and methods required to construct the accounts. This statistical framework is consistent with the Canadian system of national accounts, Canadian government finance statistics and Canada’s balance of payments. This consistency permits users to analyze the infrastructure related statistical statements in the context of economy wide measures such as investment, gross domestic product (GDP), national income and wealth.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data was reported at 0.760 % in 2022. This records a decrease from the previous number of 1.770 % for 2021. Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products data is updated yearly, averaging 1.010 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 6.750 % in 1989 and a record low of 0.760 % in 2022. Canada CA: Tariff Rate: Applied: Weighted Mean: Manufactured Products 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: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.;World Bank staff estimates using the World Integrated Trade Solution system, based on tariff data from the United Nations Conference on Trade and Development's Trade and Development's Trade Analysis and Information System (TRAINS) database and global imports data from the United Nations Statistics Division's Comtrade database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems. By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

The locations of wells that have been drilled for oil production, gas or salt resources or for underground storage of hydrocarbons.

This data can be used for land use and resource management, emergency management, as well as compliance and enforcement in the petroleum industry. The Data is collected on an on-going basis and maintained in the Ontario Petroleum Data System (OPDS).

*[OPDS]: Ontario Petroleum Data System

The dataset provides information on industry specialization, industry structure and employment for Nova Scotia’s Functional Economic Regions. The data fields include: Functional Economic Region Name, North American Industry Classification (NAICS) - 4-digits; Category and Type of Industry; Location Quotient by Employment; and Level of Specialization category. Fields may be updated or change over time.

Statistics Canada (2015). CANSIM: Manufacturing - General | Country: Canada | Table: Manufacturing activities, by Standard Industrial Classification (1980 SIC) | Variable: Production workers, Soap and cleaning compounds industry | Units: $CAD # Persons, 1981-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 075-001-149. Dataset: Presents statistics on general topics related to the manufacturing industry in Canada. Topics cover many subtopics, or are too specific to correspond to any of the subtopics. CANSIM is Statistics Canada's key socioeconomic database. The datasets included here provide statistics on the Canadian population, and the nation’s resources, economy, society, and culture. In addition to conducting a Census every five years, approximately 350 active surveys are conducted on virtually all aspects of Canadian life. Statistics are provided for the nation as a whole, provinces, and other subnational geographies where available. Category: Industry, Business, and Commerce Source: Statistics Canada Established as Canada's central statistical office by the Statistics Act of 1985, Statistics Canada is required to "collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and conditions of the people of Canada." Its main objectives are to provide statistical information and analysis about Canada’s economic and social structure and to promote sound statistical standards and practices. http://www.statcan.gc.ca/ Subject: Manufactured Goods, Manufacturing Businesses, Manufacturing Industry

Crime in Canada is a costly social phenomenon that affects everyone. The effects of crime are far-reaching and can include: -direct financial costs to the institutions that make up the criminal justice system; -ndirect costs to other social institutions and to the Canadian economy more broadly; and, -physical, emotional, and financial toll costs to victims and their families. While some of these costs are tangible and more easily counted (e.g., actual dollars spent by an institution), others are intangible and more difficult to measure (e.g., pain and suffering). An important body of work has however, attempted to translate the intangible impacts of crime into economic losses or costs.Footnote1 Interpreting the impacts of crime in this way can help policy makers to budget and allocate resources more effectively. It can also help to develop evidence-based strategies for crime-prevention that weigh the costs of crime against the costs of social interventions. Such strategies could include, for example, investing in social programs that prevent and reduce the effect of crime on people, businesses, institutions, and the Canadian economy

This table provides statistical information about people in Canada by their demographic, social and economic characteristics as well as provide information about the housing units in which they live.

Money Supply M1 in Canada increased to 1662972 CAD Million in May from 1649047 CAD Million in April of 2025. This dataset provides - Canada Money Supply M1 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products data was reported at 3.040 % in 2022. This records a decrease from the previous number of 3.160 % for 2021. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products data is updated yearly, averaging 4.650 % from Dec 1989 (Median) to 2022, with 30 observations. The data reached an all-time high of 9.530 % in 1995 and a record low of 3.040 % in 2022. Canada CA: Tariff Rate: Most Favored Nation: Simple Mean: All Products 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: Trade Tariffs. Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups.;World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).