This dataset is about countries per year in Canada. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, capital city, and central government debt.

CA: Foreign Direct Investment Financial Flows: Inward: USD: Total: World data was reported at 46.180 USD bn in 2023. This records an increase from the previous number of 46.169 USD bn for 2022. CA: Foreign Direct Investment Financial Flows: Inward: USD: Total: World data is updated yearly, averaging 43.853 USD bn from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 71.732 USD bn in 2013 and a record low of 22.764 USD bn in 2017. CA: Foreign Direct Investment Financial Flows: Inward: USD: Total: World data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Financial Flows: USD: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Time series data for the data Current Account and Its Components - Current USD, TTM for the country Canada. The Current Account and Its Components The current account is a component of a country's balance of payments that records the transactions of goods, services, income, and current transfers between residents of the country and the rest of the world. It consists of four main components:

a. Trade in Goods Balance

b. Trade in Services Balance

c. Primary Income Balance

d. Secondary Income Balance

1. Trade in Goods Balance Definition: This includes the export and import of physical items such as machinery, food, clothing, etc.

Credit Example: A German car manufacturer exports cars to the United States (value of exported cars).

Debit Example: A German electronics retailer imports smartphones from South Korea (value of imported smartphones).

1. Trade in Services Balance Definition: This includes the export and import of services such as tourism, financial services, consulting, transportation, etc.

Credit Example: A German IT company provides software development services to a client in Japan (value of exported services).

Debit Example: A German tourist books a hotel room in France (value of imported tourism services).

1. Primary Income Balance Definition: This includes earnings from the provision of factors of production such as labor, financial assets, land, and natural resources. It covers income from interest, profits, and dividends.

Credit Example: A German investor receives dividends from shares held in a U.S. company (value of received dividends).

Debit Example: Foreign investors receive interest payments on bonds issued by a German company (value of interest payments).

1. Secondary Income Balance Definition: This includes current transfers such as foreign aid, remittances, and other one-way payments that do not involve an exchange of goods or services.

Credit Example: Remittances sent by German residents working abroad to their families in Germany (value of received remittances).

Debit Example: Germany sends humanitarian aid to a developing country (value of sent aid). Current Account Balance (USD)The indicator "Current Account Balance (USD)" stands at -20.86 Billion United States Dollars as of 6/30/2025, the lowest value since 9/30/2023. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -8.89 Billion United States Dollars compared to the value the year prior.The 1 year change is -8.89 Billion United States Dollars.The 3 year change is -29.77 Billion United States Dollars.The 5 year change is 13.55 Billion United States Dollars.The 10 year change is 29.97 Billion United States Dollars.The Serie's long term average value is -19.23 Billion United States Dollars. It's latest available value, on 6/30/2025, is -1.63 Billion United States Dollars lower, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 3/31/2013, to it's latest available value, on 6/30/2025, is +45.59 Billion.The Serie's change in United States Dollars from it's maximum value, on 6/30/2006, to it's latest available value, on 6/30/2025, is -48.03 Billion.Trade in Services Balance (USD)The indicator "Trade in Services Balance (USD)" stands at -1.80 Billion United States Dollars as of 6/30/2025, the lowest value since 6/30/2023. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -3.61 Billion United States Dollars compared to the value the year prior.The 1 year change is -3.61 Billion United States Dollars.The 3 year change is 1.63 Billion United States Dollars.The 5 year change is 9.88 Billion United States Dollars.The 10 year change is 19.09 Billion United States Dollars.The Serie's long term average value is -10.87 Billion United States Dollars. It's latest available value, on 6/30/2025, is 9.07 Billion United States Dollars higher, compared to it's long term average value.The Serie's change in United States Dollars from it's minimum value, on 6/30/2013, to it's latest available value, on 6/30/2025, is +20.91 Billion.The Serie's change in United States Dollars from it's maximum value, on 3/31/2024, to it's latest available value, on 6/30/2025, is -4.05 Billion.Trade in Goods Balance (USD)The indicator "Trade in Goods Balance (USD)" stands at -17.14 Billion United States Dollars as of 6/30/2025, the lowest value since 6/30/2021. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -16.27 Billion United States Dollars compared to the value the year prior.The 1 year change is -16.27 Billion United States Dollars.The 3 year change is -37.35 Billion United States Dollars.The 5 year change is 2.74 Billion United States Dollars.The 10 year change is -8.32 Billion United States Dollars.The Serie's long term average value is 9.51 Billion United States Dollars. It's latest available value, on ...

The Canada Trademarks Dataset

18 Journal of Empirical Legal Studies 908 (2021), prepublication draft available at https://papers.ssrn.com/abstract=3782655, published version available at https://onlinelibrary.wiley.com/share/author/CHG3HC6GTFMMRU8UJFRR?target=10.1111/jels.12303

Dataset Selection and Arrangement (c) 2021 Jeremy Sheff

Python and Stata Scripts (c) 2021 Jeremy Sheff

Contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office.

This individual-application-level dataset includes records of all applications for registered trademarks in Canada since approximately 1980, and of many preserved applications and registrations dating back to the beginning of Canada’s trademark registry in 1865, totaling over 1.6 million application records. It includes comprehensive bibliographic and lifecycle data; trademark characteristics; goods and services claims; identification of applicants, attorneys, and other interested parties (including address data); detailed prosecution history event data; and data on application, registration, and use claims in countries other than Canada. The dataset has been constructed from public records made available by the Canadian Intellectual Property Office. Both the dataset and the code used to build and analyze it are presented for public use on open-access terms.

Scripts are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/. Data files are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/, and also subject to additional conditions imposed by the Canadian Intellectual Property Office (CIPO) as described below.

Terms of Use:

As per the terms of use of CIPO's government data, all users are required to include the above-quoted attribution to CIPO in any reproductions of this dataset. They are further required to cease using any record within the datasets that has been modified by CIPO and for which CIPO has issued a notice on its website in accordance with its Terms and Conditions, and to use the datasets in compliance with applicable laws. These requirements are in addition to the terms of the CC-BY-4.0 license, which require attribution to the author (among other terms). For further information on CIPO’s terms and conditions, see https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html. For further information on the CC-BY-4.0 license, see https://creativecommons.org/licenses/by/4.0/.

The following attribution statement, if included by users of this dataset, is satisfactory to the author, but the author makes no representations as to whether it may be satisfactory to CIPO:

The Canada Trademarks Dataset is (c) 2021 by Jeremy Sheff and licensed under a CC-BY-4.0 license, subject to additional terms imposed by the Canadian Intellectual Property Office. It contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office. For further information, see https://creativecommons.org/licenses/by/4.0/ and https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html.

Details of Repository Contents:

This repository includes a number of .zip archives which expand into folders containing either scripts for construction and analysis of the dataset or data files comprising the dataset itself. These folders are as follows:

• /csv: contains the .csv versions of the data files
• /do: contains Stata do-files used to convert the .csv files to .dta format and perform the statistical analyses set forth in the paper reporting this dataset
• /dta: contains the .dta versions of the data files
• /py: contains the python scripts used to download CIPO’s historical trademarks data via SFTP and generate the .csv data files

If users wish to construct rather than download the datafiles, the first script that they should run is /py/sftp_secure.py. This script will prompt the user to enter their IP Horizons SFTP credentials; these can be obtained by registering with CIPO at https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP. The script will also prompt the user to identify a target directory for the data downloads. Because the data archives are quite large, users are advised to create a target directory in advance and ensure they have at least 70GB of available storage on the media in which the directory is located.

The sftp_secure.py script will generate a new subfolder in the user’s target directory called /XML_raw. Users should note the full path of this directory, which they will be prompted to provide when running the remaining python scripts. Each of the remaining scripts, the filenames of which begin with “iterparse”, corresponds to one of the data files in the dataset, as indicated in the script’s filename. After running one of these scripts, the user’s target directory should include a /csv subdirectory containing the data file corresponding to the script; after running all the iterparse scripts the user’s /csv directory should be identical to the /csv directory in this repository. Users are invited to modify these scripts as they see fit, subject to the terms of the licenses set forth above.

With respect to the Stata do-files, only one of them is relevant to construction of the dataset itself. This is /do/CA_TM_csv_cleanup.do, which converts the .csv versions of the data files to .dta format, and uses Stata’s labeling functionality to reduce the size of the resulting files while preserving information. The other do-files generate the analyses and graphics presented in the paper describing the dataset (Jeremy N. Sheff, The Canada Trademarks Dataset, 18 J. Empirical Leg. Studies (forthcoming 2021)), available at https://papers.ssrn.com/abstract=3782655). These do-files are also licensed for reuse subject to the terms of the CC-BY-4.0 license, and users are invited to adapt the scripts to their needs.

The python and Stata scripts included in this repository are separately maintained and updated on Github at https://github.com/jnsheff/CanadaTM.

This repository also includes a copy of the current version of CIPO's data dictionary for its historical XML trademarks archive as of the date of construction of this dataset.

Canada CA: Foreign Direct Investment Position: Outward: Total: Chile data was reported at 24,018.553 CAD mn in 2023. This records an increase from the previous number of 21,617.609 CAD mn for 2022. Canada CA: Foreign Direct Investment Position: Outward: Total: Chile data is updated yearly, averaging 18,221.000 CAD mn from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 24,240.650 CAD mn in 2018 and a record low of 10,376.000 CAD mn in 2011. Canada CA: Foreign Direct Investment Position: Outward: Total: Chile data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Canada CA: Foreign Direct Investment Position: Outward: USD: Total: G20 Countries Excluding European Union data was reported at 1,048.544 USD bn in 2023. This records an increase from the previous number of 953.314 USD bn for 2022. Canada CA: Foreign Direct Investment Position: Outward: USD: Total: G20 Countries Excluding European Union data is updated yearly, averaging 668.313 USD bn from Dec 2011 (Median) to 2023, with 11 observations. The data reached an all-time high of 1,048.544 USD bn in 2023 and a record low of 423.848 USD bn in 2011. Canada CA: Foreign Direct Investment Position: Outward: USD: Total: G20 Countries Excluding European Union data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Position: USD: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.; G20 countries excluding European Union, 19 countries: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Republic of Korea, Russian Federation, Saudi Arabia, South Africa, Turkey, United Kingdom, United States

Canada CA: Foreign Direct Investment Position: Outward: Total: Other Asian Countries data was reported at 104,902.248 CAD mn in 2023. This records an increase from the previous number of 89,193.255 CAD mn for 2022. Canada CA: Foreign Direct Investment Position: Outward: Total: Other Asian Countries data is updated yearly, averaging 70,260.932 CAD mn from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 104,902.248 CAD mn in 2023 and a record low of 48,267.000 CAD mn in 2016. Canada CA: Foreign Direct Investment Position: Outward: Total: Other Asian Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Canada CA: Foreign Direct Investment Position: Outward: Total: Other African Countries data was reported at 11,389.470 CAD mn in 2023. This records an increase from the previous number of 11,246.583 CAD mn for 2022. Canada CA: Foreign Direct Investment Position: Outward: Total: Other African Countries data is updated yearly, averaging 11,246.583 CAD mn from Dec 2012 (Median) to 2023, with 9 observations. The data reached an all-time high of 14,026.916 CAD mn in 2021 and a record low of 965.000 CAD mn in 2012. Canada CA: Foreign Direct Investment Position: Outward: Total: Other African Countries data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

This table contains 28 series, with data for years 1991 - 2017 (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);  Type of instrument (2 items: Canadian bonds; Canadian money market instruments);  Geographic region (7 items: All countries; United States; United Kingdom; Other European Union countries; ...);  Valuation (2 items: Book value; Market value).

CA: Foreign Direct Investment Financial Flows: Outward: Total: Japan data was reported at -55.345 CAD mn in 2023. This records a decrease from the previous number of 1,272.021 CAD mn for 2022. CA: Foreign Direct Investment Financial Flows: Outward: Total: Japan data is updated yearly, averaging 474.335 CAD mn from Dec 2011 (Median) to 2023, with 10 observations. The data reached an all-time high of 1,431.110 CAD mn in 2018 and a record low of -892.000 CAD mn in 2011. CA: Foreign Direct Investment Financial Flows: Outward: Total: Japan data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Financial Flows: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports, or Trade Balance. Data are unadjusted and seasonally adjusted, and are on a Customs and Balance of Payments basis.

This table contains 57 series, with data for years 1985 - 2012 (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 items: Canada ...), Canadian money market; foreign bonds, stocks and money market (3 items: Canadian money market;Foreign bonds;Foreign stocks ...), Summary of transactions (3 items: Net flows;Sales;Purchases ...), Countries or regions (7 items: All countries;United States;United Kingdom;Other European Union countries ...).

Context

These datasets are from Our World in Data. Their complete COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data. It is updated daily and includes data on confirmed cases, deaths, hospitalizations, testing, and vaccinations as well as other variables of potential interest.

Content

Confirmed cases and deaths:

our data comes from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). We discuss how and when JHU collects and publishes this data. The cases & deaths dataset is updated daily. Note: the number of cases or deaths reported by any institution—including JHU, the WHO, the ECDC, and others—on a given day does not necessarily represent the actual number on that date. This is because of the long reporting chain that exists between a new case/death and its inclusion in statistics. This also means that negative values in cases and deaths can sometimes appear when a country corrects historical data because it had previously overestimated the number of cases/deaths. Alternatively, large changes can sometimes (although rarely) be made to a country's entire time series if JHU decides (and has access to the necessary data) to correct values retrospectively.

Hospitalizations and intensive care unit (ICU) admissions:

our data comes from the European Centre for Disease Prevention and Control (ECDC) for a select number of European countries; the government of the United Kingdom; the Department of Health & Human Services for the United States; the COVID-19 Tracker for Canada. Unfortunately, we are unable to provide data on hospitalizations for other countries: there is currently no global, aggregated database on COVID-19 hospitalization, and our team at Our World in Data does not have the capacity to build such a dataset.

Testing for COVID-19:

this data is collected by the Our World in Data team from official reports; you can find further details in our post on COVID-19 testing, including our checklist of questions to understand testing data, information on geographical and temporal coverage, and detailed country-by-country source information. The testing dataset is updated around twice a week.

Acknowledgements

Our World in Data GitHub repository for covid-19.

Inspiration

All we love data, cause we love to go inside it and discover the truth that's the main inspiration I have.

Time series data for the statistic Net_Bilateral_Aid_Canada_to_Seychelles. Indicator Definition:Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.The Serie's long term average value is 166.01 Thousand usd. It's latest available value, on 12/31/2017, is 4.53 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1966, to it's latest available value, on 12/31/2017, is +1,484.99%.The Serie's change in percent from it's maximum value, on 12/31/2005, to it's latest available value, on 12/31/2017, is -79.68%.

TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

USMCA/8 Canada, Mexico, United States

Europe and Central Asia/9 Europe, Former Soviet Union

Middle East and North Africa/10 Middle East and North Africa

Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

Indicator Source

Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

Comprehensive Mental Health Insights: A Diverse Dataset of 1000 Individuals Across Professions, Countries, and Lifestyles

This dataset provides a rich collection of anonymized mental health data for 1000 individuals, representing a wide range of ages, genders, occupations, and countries. It aims to shed light on the various factors affecting mental health, offering valuable insights into stress levels, sleep patterns, work-life balance, and physical activity.

Key Features: Demographics: The dataset includes individuals from various countries such as the USA, India, the UK, Canada, and Australia. Each entry captures key demographic information such as age, gender, and occupation (e.g., IT, Healthcare, Education, Engineering).

Mental Health Conditions: The dataset contains data on whether the individuals have reported any mental health issues (Yes/No), along with the severity of these conditions categorized into Low, Medium, or High.

Consultation History: For individuals with mental health conditions, the dataset notes whether they have consulted a mental health professional.

Stress Levels: Each individual’s stress level is classified as Low, Medium, or High, providing insights into how different factors such as work hours or sleep may correlate with mental well-being.

Lifestyle Factors: The dataset includes information on sleep duration, work hours per week, and weekly physical activity hours, offering a detailed picture of how lifestyle factors contribute to mental health.

This dataset can be used for research, analysis, or machine learning models to predict mental health trends, uncover correlations between work-life balance and mental well-being, and explore the impact of stress and physical activity on mental health.

These data sets represent statistics on Canada's assistance disbursed by country, by fiscal year. This data is produced as part of the Government of Canada's annual Statistical Report on International Assistance and corresponds to figures presented in Section D of the report, where international assistance expenditures are broken down by channel and recipient. Given that the data covers all Canadian international assistance spending, it includes both official development assistance (ODA) as per the Official Development Assistance Accountability Act and other official assistance from all levels of government (federal, provincial and municipal).

Canada CA: Foreign Direct Investment Position: Outward: Total: ODA Recipients - America data was reported at 131,840.319 CAD mn in 2023. This records an increase from the previous number of 115,971.037 CAD mn for 2022. Canada CA: Foreign Direct Investment Position: Outward: Total: ODA Recipients - America data is updated yearly, averaging 98,031.269 CAD mn from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 131,840.319 CAD mn in 2023 and a record low of 76,466.000 CAD mn in 2016. Canada CA: Foreign Direct Investment Position: Outward: Total: ODA Recipients - America data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) cannot be identified but is believed to be extremely rare. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. In the case of Canada, any extension of loans by the DIE to its parent is netted out from inward and outward transactions and positions, regardless of the DIE's equity ownership in its parent. Treatment of debt transactions and positions between fellow enterprises: asset/liability basis. FDI transactions and positions by partner country and by industry include resident Special Purpose Entities (SPEs), which cannot yet be reported separately. Valuation method used for listed inward and outward equity positions: Own funds at book values. Valuation method used for unlisted inward and outward equity positions: Own funds at book values. Valuation method used for inward and outward debt positions: Book value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered except in outward FDI positions. Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.; Countries from AMERICA recipients of Offical Development Assistance (ODA), 30 countries: Chile, Mexico , Antigua and Barbuda, Cuba, Dominica, Dominican Republic, Grenada, Haiti, Jamaica, Montserrat, Saint Lucia, Saint Vincent and the Grenadines, Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Argentina, Bolivia, Brazil, Colombia, Ecuador, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela

On average, Australians and Americans substantially overestimate the number of people who are skeptical about climate change. This example of a bias, known as pluralistic ignorance, reduces support for climate change policies and willingness to discuss climate change. A key factor in promoting proxies of climate action may thus lie in understanding whether pluralistic ignorance generalizes to other countries and whether interventions can reduce its potential negative consequences. In a 10-minute online experiment, we will assess actual and perceived climate change beliefs to test whether climate change-related pluralistic ignorance generalizes across 11 countries (Brazil, Canada, China, Germany, India, Indonesia, Italy, Japan, Mexico, Poland, and Thailand, N = 330 per country). We will then inform individuals about the actual distribution of climate change beliefs in their country, based on a representative survey in 2020 (YouGov Cambridge, 2020). Subsequently, we will investigate whether this disclosure intervention can increase certain outcomes associated with climate action in the believing majority in the experimental compared to the control condition. These outcomes include (a) expectations about others’ willingness to make lifestyle changes to mitigate climate change and others’ support for government action on climate change, (b) one’s own willingness to make lifestyle changes and one’s own support for government actions, (c) efficacy beliefs that citizens of one’s country can jointly prevent the negative consequences of climate change, and (d) willingness to express one’s opinion on climate change.

Time series data for the statistic Net_Bilateral_Aid_Canada_to_Malta. Indicator Definition:Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Japan, Korea, Luxembourg, The Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovienia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.The indicator "Net bilateral aid flows from a DAC donor (US$)" stands at 40.00 Thousand usd as of 12/31/2002, the highest value since 12/31/1980. Regarding the One-Year-Change of the series, the current value constitutes an increase of 10.00 Thousand compared to the value the year prior.The Serie's long term average value is 34.19 Thousand usd. It's latest available value, on 12/31/2002, is 5.81 Thousand higher, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/1985, to it's latest available value, on 12/31/2002, is +60.00 Thousand.The Serie's change from it's maximum value, on 12/31/1976, to it's latest available value, on 12/31/2002, is -430.00 Thousand.