Get data on Ontario Gross Domestic Product (GDP) for agri-food Sector.

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

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

Canada CA: GDP: Deflator: Linked Series data was reported at 126.837 2015=100 in 2023. This records an increase from the previous number of 124.920 2015=100 for 2022. Canada CA: GDP: Deflator: Linked Series data is updated yearly, averaging 87.664 2015=100 from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 126.837 2015=100 in 2023 and a record low of 61.957 2015=100 in 1990. Canada CA: GDP: Deflator: Linked Series 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. The GDP implicit deflator is calculated as the ratio of GDP in current local currency to GDP in constant local currency. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The base year varies by country.;World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.;;

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

The Comparative Political Economy Database (CPEDB) began at the Centre for Learning, Social Economy and Work (CLSEW) at the Ontario Institute for Studies in Education at the University of Toronto (OISE/UT) as part of the Changing Workplaces in a Knowledge Economy (CWKE) project. This data base was initially conceived and developed by Dr. Wally Seccombe (independent scholar) and Dr. D.W. Livingstone (Professor Emeritus at the University of Toronto). Seccombe has conducted internationally recognized historical research on evolving family structures of the labouring classes (A Millennium of Family Change: Feudalism to Capitalism in Northwestern Europe and Weathering the Storm: Working Class Families from the Industrial Revolution to the Fertility Decline). Livingstone has conducted decades of empirical research on class and labour relations. A major part of this research has used the Canadian Class Structure survey done at the Institute of Political Economy (IPE) at Carleton University in 1982 as a template for Canadian national surveys in 1998, 2004, 2010 and 2016, culminating in Tipping Point for Advanced Capitalism: Class, Class Consciousness and Activism in the ‘Knowledge Economy’ (https://fernwoodpublishing.ca/book/tipping-point-for-advanced-capitalism) and a publicly accessible data base including all five of these Canadian surveys (https://borealisdata.ca/dataverse/CanadaWorkLearningSurveys1998-2016). Seccombe and Livingstone have collaborated on a number of research studies that recognize the need to take account of expanded modes of production and reproduction. Both Seccombe and Livingstone are Research Associates of CLSEW at OISE/UT. The CPEDB Main File (an SPSS data file) covers the following areas (in order): demography, family/household, class/labour, government, electoral democracy, inequality (economic, political & gender), health, environment, internet, macro-economic and financial variables. In its present form, it contains annual data on 725 variables from 12 countries (alphabetically listed): Canada, Denmark, France, Germany, Greece, Italy, Japan, Norway, Spain, Sweden, United Kingdom and United States. A few of the variables date back to 1928, and the majority date from 1960 to 1990. Where these years are not covered in the source, a minority of variables begin with more recent years. All the variables end at the most recent available year (1999 to 2022). In the next version developed in 2025, the most recent years (2023 and 2024) will be added whenever they are present in the sources’ datasets. For researchers who are not using SPSS, refer to the Chart files for overviews, summaries and information on the dataset. For a current list of the variable names and their labels in the CPEDB data base, see the excel file: Outline of SPSS file Main CPEDB, Nov 6, 2023. At the end of each variable label in this file and the SPSS datafile, you will find the source of that variable in a bracket. If I have combined two variables from a given source, the bracket will begin with WS and then register the variables combined. In the 14 variables David created at the beginning of the Class Labour section, you will find DWL in these brackets with his description as to how it was derived. The CPEDB’s variables have been derived from many databases; the main ones are OECD (their Statistics and Family Databases), World Bank, ILO, IMF, WHO, WIID (World Income Inequality Database), OWID (Our World in Data), Parlgov (Parliaments and Governments Database), and V-Dem (Varieties of Democracy). The Institute for Political Economy at Carleton University is currently the main site for continuing refinement of the CPEDB. IPE Director Justin Paulson and other members are involved along with Seccombe and Livingstone in further development and safe storage of this updated database both at the IPE at Carleton and the UT dataverse. All those who explore the CPEDB are invited to share their perceptions of the entire database, or any of its sections, with Seccombe generally (wseccombe@sympatico.ca) and Livingstone for class/labour issues (davidlivingstone@utoronto.ca). They welcome any suggestions for additional variables together with their data sources. A new version CPEDB will be created in the spring of 2025 and installed as soon as the revision is completed. This revised version is intended to be a valuable resource for researchers in all of the included countries as well as Canada.

The Researcher Datasets from the PRS Group provide annual and monthly weighted average risks across countries from 1984 on a wealth of Political, Economic and Financial risk topics for 140 monitored countries. The components of the ICRG Economic Risk Rating are GDP per Head, Real GDP Growth, Annual Inflation Rate, Budget Balance as a Percentage of GDP and Current Account as a % of GDP.

Canada CA: GDP: Growth: GNI data was reported at 0.952 % in 2023. This records a decrease from the previous number of 3.320 % for 2022. Canada CA: GDP: Growth: GNI data is updated yearly, averaging 2.864 % from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 6.643 % in 1973 and a record low of -4.579 % in 2020. Canada CA: GDP: Growth: GNI 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. 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;

Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.

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

The Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (MELCCFP) monitors, with the responsible ministries and agencies, a semi-annual follow-up of each action included in the Implementation Plan (PMO) of the 2030 Green Economy Plan (PEV 2030). In particular, this monitoring makes it possible to note the progress of actions in terms of their objectives, their expenses and the results obtained in relation to the established targets. The information collected by this monitoring feeds into the Government of Quebec's Annual Climate Action Report and Climate Action Dashboard, available at this address: State of progress of governmental climate action | Gouvernment du Québec (quebec.ca) This dataset contains the raw information collected during the follow-up exercise on September 30, 2023, including the description of the actions and their results. The departments and agencies that provided the data are responsible for its quality. To view all associated datasets, please consult the 2030 Green Economy Plan

The Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (MELCCFP) monitors, with the responsible ministries and agencies, a semi-annual follow-up of each action included in the Implementation Plan (PMO) of the 2030 Green Economy Plan (PEV 2030). In particular, this monitoring makes it possible to note the progress of actions in terms of their objectives, their expenses and the results obtained in relation to the established targets. The information collected by this monitoring feeds into the Government of Quebec's Annual Climate Action Report and Climate Action Dashboard, available at this address: State of progress of governmental climate action | Gouvernment du Québec (quebec.ca) () This dataset contains the raw information collected during the monitoring exercise of September 30, 2023, including the description of the actions and their results. The departments and agencies that provided the data are responsible for the quality of the data. To view all associated datasets, please consult the 2030 Green Economy Plan

Annual implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, by province and territory, 2017=100.

This weekly publication contains the most recent data releases for key economic indicators relating to the overall economy, labour market, price indices, household sector and business sector.

This weekly publication contains the most recent data releases for key economic indicators relating to the overall economy, labour market, price indices, household sector and business sector.

Canada CA: GDP: Final Consumption Expenditure: Households and NPISHs: Linked Series data was reported at 1,595,418.000 CAD mn in 2023. This records an increase from the previous number of 1,513,249.000 CAD mn for 2022. Canada CA: GDP: Final Consumption Expenditure: Households and NPISHs: Linked Series data is updated yearly, averaging 838,922.500 CAD mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 1,595,418.000 CAD mn in 2023 and a record low of 388,379.000 CAD mn in 1990. Canada CA: GDP: Final Consumption Expenditure: Households and NPISHs: Linked Series 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. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices.;World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.;;

Canada CA: PPP Conversion Factor: GDP data was reported at 1.142 CAD/Intl $ in 2024. This records an increase from the previous number of 1.135 CAD/Intl $ for 2023. Canada CA: PPP Conversion Factor: GDP data is updated yearly, averaging 1.214 CAD/Intl $ from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 1.248 CAD/Intl $ in 2015 and a record low of 1.135 CAD/Intl $ in 2023. Canada CA: PPP Conversion Factor: GDP 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: Purchasing Power Parity. Purchasing power parity (PPP) conversion factor is a spatial price deflator and currency converter that controls for price level differences between countries, thereby allowing volume comparisons of gross domestic product (GDP) and its expenditure components. This conversion factor is for GDP.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;;

Canada CA: GDP: PPP data was reported at 2,547,198.394 Intl $ mn in 2023. This records an increase from the previous number of 2,442,788.783 Intl $ mn for 2022. Canada CA: GDP: PPP data is updated yearly, averaging 1,271,593.696 Intl $ mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 2,547,198.394 Intl $ mn in 2023 and a record low of 560,184.961 Intl $ mn in 1990. Canada CA: GDP: 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: Gross Domestic Product: Purchasing Power Parity. This indicator provides values for gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parity (PPP) conversion factor. GDP is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. PPP conversion factor is a spatial price deflator and currency converter that eliminates the effects of the differences in price levels between countries. From April 2020, “GDP: linked series (current LCU)” [NY.GDP.MKTP.CN.AD] is used as underlying GDP in local currency unit so that it’s in line with time series of PPP conversion factors for GDP, which are extrapolated with linked GDP deflators.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;Gap-filled total;

Canada CA: Imports: Goods: by Reporting Economy data was reported at 585.790 USD bn in 2023. This records a decrease from the previous number of 597.473 USD bn for 2022. Canada CA: Imports: Goods: by Reporting Economy data is updated yearly, averaging 128.329 USD bn from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 597.473 USD bn in 2022 and a record low of 6.009 USD bn in 1960. Canada CA: Imports: Goods: by Reporting Economy 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: Imports. Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Sum;

Canada CA: Exports: Goods: by Reporting Economy data was reported at 567.833 USD bn in 2023. This records a decrease from the previous number of 596.780 USD bn for 2022. Canada CA: Exports: Goods: by Reporting Economy data is updated yearly, averaging 127.844 USD bn from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 596.780 USD bn in 2022 and a record low of 5.386 USD bn in 1960. Canada CA: Exports: Goods: by Reporting Economy 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: Exports. Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Sum;

Canada CA: Imports: % of Total Goods Imports: Residual data was reported at 0.003 % in 2023. This records an increase from the previous number of 0.002 % for 2022. Canada CA: Imports: % of Total Goods Imports: Residual data is updated yearly, averaging 0.402 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4.124 % in 1974 and a record low of 0.002 % in 2022. Canada CA: Imports: % of Total Goods Imports: Residual 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: Imports. Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, low-, and middle-income economies according to the World Bank classification of economies. Includes trade with unspecified partners or with economies not covered by World Bank classification. Data are as a percentage of total merchandise imports by the economy.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;