Get data on Ontario gross domestic product (GDP) by manufacturing industries.

The GDP is a monetary measure of the value of all final goods and services produced in a period.

This dataset shows Ontario’s GDP by manufacturing industries, including:

• food, beverage and tobacco
• chemical and petroleum products
• primary metal products
• fabricated metal products
• machinery
• electrical and electronic products
• transportation equipment
• paper products and printing
• plastic and rubber products
• other manufacturing

This statistic shows the gross domestic product (GDP) of Ontario in 2022, by industry. In 2022, the GDP of the construction industry in Ontario was 57.4 billion chained 2012 Canadian dollars.

This statistic shows the distribution of the gross domestic product (GDP) of Ontario in 2022, by industry. In that year, the construction industry accounted for eight percent of the GDP of Ontario.

Get statistical data on production area sales, employee numbers and selected input costs for the nursery trades industry in Ontario and Canada.

Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in Ontario County, NY (REALGDPSERV36069) from 2001 to 2023 about Ontario County, NY; Rochester; services-providing; NY; private; real; industry; GDP; and USA.

Get data on the Ontario gross domestic product (GDP) for major agricultural industries in Ontario. The GDP is a monetary measure of the value of all the goods and services produced in a period.

The gross domestic product of all industries in Ontario stood at 643.82 billion U.S. dollars in 2023. Between 1997 and 2023, the gross domestic product rose by 289.43 billion U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

Get data on the annual sales revenue in Ontario for food and beverage stores, and food service and drinking places (such as restaurants and bars).

Get data on employment in selected agri-food industries, including employment in:

• primary agriculture
• agriculture and food, beverage and tobacco manufacturing
• other manufacturing related to agriculture

Revenue for the Precast Concrete Manufacturing industry in Ontario is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while revenue for the national industry will likely grow at x.x% during the same period. The number of industry establishments has increased an annualized x.x% to xxx locations over the past five years. Industry employment has increased an annualized x.x% to x,xxx workers during the period, while industry wages have increased an annualized x% to $x.x million.

This map shows how commercial activity is distributed within urban areas and the impact of commercial services on the urban landscape, by mapping what proportion of stores (hence jobs) in an urban area that are found in industrial zones. Industrial zones are extensive areas zoned for industrial use that nowadays are home to wholesalers, big-box retailers and a variety of services and small office buildings. These are specialized destinations, often oriented to other businesses; not the kinds of places you stumble upon by accident. As the most recent form of commercial concentration, they are most often found in rapidly growing cities, especially the largest cities. Since industrial zones support a wide range of specialized activities they usually benefit from commercial specialization as indicated by the index of centrality. The distribution indicates that cities in Ontario and the Prairies have higher values than cities in Quebec, the Atlantic region and British Columbia.

Get statistical data for rural and urban Ontario on key socioeconomic variables. The data identifies: * demographic information for rural and urban Ontario by census year (population change and age breakdown, immigrants, visible minorities, educational attainment, average household income) * economic indicators for rural and urban Ontario (monthly and annual employment by industry, monthly and annual labour force characteristics, number of businesses by industries and employee number) * rural and urban Ontario census profiles (for all census of population variables starting with 2001) Find more resources with socioeconomic data and information about Rural Ontario

Get data on the Ontario gross domestic product (GDP) by Goods-Producing Industries and Services Industries.

The GDP is a monetary measure of the value of all the goods and services produced in a period.

Revenue for the Aluminum Manufacturing industry in Ontario is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while revenue for the national industry will likely grow at x.x% during the same period. The number of industry establishments has decreased an annualized -x.x% to xx locations over the past five years. Industry employment has decreased an annualized -x.x% to x,xxx workers during the period, while industry wages have decreased an annualized -x.x% to $x.x million.

Output by industry, in current dollars, evaluated at basic price for all provinces and territories. These estimates are derived from the provincial Supply and Use Tables.

This statistic shows the number of employed people in Ontario, Canada in 2023, by industry. In 2023, about **** million people were employed in the wholesale and retail trade industry in Ontario.

Counts of Entrants, Incumbents, and Exits by North American Industry Classification System, for each province and territory from the Longitudinal Employment Analysis Program.

This report provides industry-specific yearly snapshots of collective bargaining data.

Graph and download economic data for Gross Domestic Product: All Industries in Ontario County, NY (GDPALL36069) from 2001 to 2023 about Ontario County, NY; Rochester; NY; industry; GDP; and USA.

Revenue for the Database & Directory Publishing industry in Ontario is expected to decline an annualized -x% to $x.x million over the five years to 2025, while revenue for the national industry will likely decline at -x.x% during the same period. The number of industry establishments has decreased an annualized -x% to xx locations over the past five years. Industry employment has decreased an annualized -x.x% to x,xxx workers during the period, while industry wages have decreased an annualized -x.x% to $x.x million.