31 datasets found
  1. Quarterly National Accounts (for 'Developer API')

    • db.nomics.world
    Updated Oct 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2025). Quarterly National Accounts (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_NAMAIN1@DF_QNA
    Explore at:
    Dataset updated
    Oct 21, 2025
    Authors
    DBnomics
    Description

    This dataset provides the whole set of OECD Quarterly National Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.

    The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.

    To get started check the API documentation. For any question contact us

    The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here.

    These indicators were presented in the previous dissemination system in the QNA dataset.
    See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
    See QNA Calendar for information on advance release dates: QNA Calendar
    See QNA Changes for information on changes in methodology: QNA Changes
    See QNA TIPS for a better use of QNA data: QNA TIPS
    Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
    OECD statistics contact: STAT.Contact@oecd.org

  2. OECD R Package: A Use Case

    • figshare.com
    bin
    Updated Sep 8, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Thierry Warin (2020). OECD R Package: A Use Case [Dataset]. http://doi.org/10.6084/m9.figshare.12928763.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Sep 8, 2020
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Thierry Warin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Access OECD countries and selected non-member economies data through the OECD API.

  3. SUT Use at basic prices (for 'Developer API')

    • db.nomics.world
    Updated Oct 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2025). SUT Use at basic prices (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_NASU@DF_USEBP
    Explore at:
    Dataset updated
    Oct 13, 2025
    Authors
    DBnomics
    Description

    This dataset provides the whole set of OECD SUT Use at basic prices and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.

    The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.

    To get started check the API documentation. For any question contact us

    The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here
    Historical data for Korea from 2015 to 2019 is available here

  4. Annual employment and population (for 'Developer API')

    • db.nomics.world
    Updated Nov 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2025). Annual employment and population (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_NAMAIN10@DF_TABLE3
    Explore at:
    Dataset updated
    Nov 28, 2025
    Authors
    DBnomics
    Description

    This dataset provides the whole set of OECD annual employment and population data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.

    The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.

       To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a>
    
  5. Organisation for Economic Co-operation and Development (OECD) data for...

    • zenodo.org
    csv
    Updated Nov 26, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Panos Kostakos; Panos Kostakos (2020). Organisation for Economic Co-operation and Development (OECD) data for Antalya (Turkey), Antwerp (Belgium), Cork (Ireland), Thessaloniki (Greece) (source: OECD) [Dataset]. http://doi.org/10.5281/zenodo.4291759
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 26, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Panos Kostakos; Panos Kostakos
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Thessaloniki, Belgium, Türkiye, Antwerp, Antalya, Ireland, Greece
    Description

    The data have been collected via the official OECD Application Programming Interface (API) and includes the following indicators:

    • EmpPlaRes - Employment at place of residence
    • LfPartRa - Labour Force and Participation rate
    • UnemReg - Unemployment in regions
    • RegGdpTL2 - Regional Gross Domestic Product (Large regions TL2)
    • GDPLT3 - Gross Domestic Product (Small regions TL3)
    • RegEmIndu - Regional Employment by industry (ISIC rev 4)
    • RegGVAWorker - Regional GVA per worker
    • RegIncPC - Regional income per capita

    Source: https://data.oecd.org/api/

  6. water_supply

    • kaggle.com
    zip
    Updated Oct 23, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ya xin (2020). water_supply [Dataset]. https://www.kaggle.com/yaxin153537/water-supply
    Explore at:
    zip(83140 bytes)Available download formats
    Dataset updated
    Oct 23, 2020
    Authors
    ya xin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Context

    The data from OECD shines a light on freshwater availability

    Content

    Two tables on this notebook: water abstract and water treatment. They are both from OECD. Water abstract has the cubic meters of ground water/surface water extracted for different purposes by country by year. (1970 - 2010 every 10yrs, 2011-2018 annually)

    Acknowledgements

    The OECD makes data (the “Data”) available for use and consultation by the public. Data may be subject to restrictions beyond the scope of these Terms and Conditions, either because specific terms apply to those Data or because third parties may have ownership interests. It is the User’s responsibility to verify, either directly in the metadata or, if available, by clicking on the icon and then referring to the "source" tab, whether the Data is fully or partially owned by third parties and/or whether additional restrictions may apply, and to contact the owner of the Data before incorporating it in your work in order to secure the necessary permissions. The OECD in no way represents or warrants that it owns or controls all rights in all Data, and the OECD will not be liable to any User for any claims brought against the User by third parties in connection with the use of any Data.

    Permitted use

    Except where additional restrictions apply as stated above, You can extract from, download, copy, adapt, print, distribute, share and embed Data for any purpose, even for commercial use. You must give appropriate credit to the OECD by using the citation associated with the relevant Data, or, if no specific citation is available, You must cite the source information using the following format: OECD (year), (dataset name),(data source) DOI or URL (accessed on (date)). When sharing or licensing work created using the Data, You agree to include the same acknowledgment requirement in any sub-licenses that You grant, along with the requirement that any further sub-licensees do the same.

    Availability of Data

    The availability of the Data is contingent upon the availability of the OECD’s corresponding resources, whose capacity is subject to change at any time. The OECD may monitor your use of the Data and reserves the right, at its sole discretion and without limitation, to modify the amount of Data You may request in a single query, to modify the number of queries You may make over a specified time, to remove certain Data and to alter the file formats in which Data are available.

    OECD Application Programming Interfaces (APIs)

    You may use one or more OECD-developed application programming interfaces (“APIs”) to facilitate access to the Data. APIs are made available on an “as-is” basis, and use of an API is at your own risk. In particular, but without limitation, the OECD disclaims all warranties as to an API’s compatibility with your hardware and software and accepts no liability for any damages or claims arising out of or in connection with your use of an API and/or the underlying Data accessed through an API. For the avoidance of doubt, the OECD accepts no obligation to provide technical, administrative or other support in connection with the APIs or for any other purpose. The OECD may decide to suspend or terminate the provision of the APIs and API-accessible Data at any time.

    The OECD may release updated versions of the APIs from time to time and at its sole discretion. Once the OECD releases updated versions, previous APIs may no longer function properly, and You therefore agree, for each API, to use the most up-to-date version available.

    You agree not to modify, distribute, decompile, disassemble, reverse engineer or perform any similar action on the APIs or any of their portions or components.

    The OECD reserves the right to limit or suspend any User’s IP address access to the APIs at any time and without notice for any reason, including if the OECD determines that You are using or are attempting to use the Data and/or the APIs in violation of these Terms and Conditions in such a way as to harm the OECD or any other party, or if You are placing too great a strain on the infrastructure necessary for making the Data available to a reasonable number of people. You agree not to use any technical means to interfere with the OECD’s monitoring of usage of the above-mentioned resources. The OECD reserves the right to use any technical means to overcome attempted technical interference with usage monitoring. Finally, the Data and the APIs will be unavailable from time to time, at the OECD’s sole discretion, for periodic maintenance.

    When entering an API query, the OECD encourages, but does not require, You to register your details so that we can keep You informed of technical updates to the APIs. The information You provide to the OECD during the voluntary registration process will be handled in accordance with the OECD Privacy Policy. Registration in...

  7. d

    Intramural R&D indicators by OECD countries and period (API identifier:...

    • datos.gob.es
    • data.europa.eu
    Updated Oct 18, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Instituto Nacional de Estadística (2022). Intramural R&D indicators by OECD countries and period (API identifier: 54607) [Dataset]. https://datos.gob.es/en/catalogo/ea0010587-indicadores-de-id-interna-por-paises-de-la-ocde-y-periodo-identificador-api-54607
    Explore at:
    Dataset updated
    Oct 18, 2022
    Dataset authored and provided by
    Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Description

    Table of INEBase Intramural R&D indicators by OECD countries and period. National. Statistics on R&D Activities in the Business Sector

  8. OECD based Recession Indicators for Countries

    • kaggle.com
    zip
    Updated Dec 12, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    St. Louis Fed (2019). OECD based Recession Indicators for Countries [Dataset]. https://www.kaggle.com/datasets/stlouisfed/oecd-based-recession-indicators-for-countries
    Explore at:
    zip(63533 bytes)Available download formats
    Dataset updated
    Dec 12, 2019
    Dataset provided by
    Federal Reserve Bank Of St. Louishttps://www.stlouisfed.org/
    Authors
    St. Louis Fed
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Eddy Billard on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  9. water_treatment

    • kaggle.com
    zip
    Updated Oct 23, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ya xin (2020). water_treatment [Dataset]. https://www.kaggle.com/yaxin153537/water-treatment
    Explore at:
    zip(3912 bytes)Available download formats
    Dataset updated
    Oct 23, 2020
    Authors
    ya xin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Water treatment data from OECD, annual measures in 2017 and 2018

    Water treatment has the % of resident population connected to urban wastewater collecting system as well as some of the other water treatment measures. (2017, 2018)

    The OECD makes data (the “Data”) available for use and consultation by the public. Data may be subject to restrictions beyond the scope of these Terms and Conditions, either because specific terms apply to those Data or because third parties may have ownership interests. It is the User’s responsibility to verify, either directly in the metadata or, if available, by clicking on the icon and then referring to the "source" tab, whether the Data is fully or partially owned by third parties and/or whether additional restrictions may apply, and to contact the owner of the Data before incorporating it in your work in order to secure the necessary permissions. The OECD in no way represents or warrants that it owns or controls all rights in all Data, and the OECD will not be liable to any User for any claims brought against the User by third parties in connection with the use of any Data.

    Permitted use

    Except where additional restrictions apply as stated above, You can extract from, download, copy, adapt, print, distribute, share and embed Data for any purpose, even for commercial use. You must give appropriate credit to the OECD by using the citation associated with the relevant Data, or, if no specific citation is available, You must cite the source information using the following format: OECD (year), (dataset name),(data source) DOI or URL (accessed on (date)). When sharing or licensing work created using the Data, You agree to include the same acknowledgment requirement in any sub-licenses that You grant, along with the requirement that any further sub-licensees do the same.

    Availability of Data

    The availability of the Data is contingent upon the availability of the OECD’s corresponding resources, whose capacity is subject to change at any time. The OECD may monitor your use of the Data and reserves the right, at its sole discretion and without limitation, to modify the amount of Data You may request in a single query, to modify the number of queries You may make over a specified time, to remove certain Data and to alter the file formats in which Data are available.

    OECD Application Programming Interfaces (APIs)

    You may use one or more OECD-developed application programming interfaces (“APIs”) to facilitate access to the Data. APIs are made available on an “as-is” basis, and use of an API is at your own risk. In particular, but without limitation, the OECD disclaims all warranties as to an API’s compatibility with your hardware and software and accepts no liability for any damages or claims arising out of or in connection with your use of an API and/or the underlying Data accessed through an API. For the avoidance of doubt, the OECD accepts no obligation to provide technical, administrative or other support in connection with the APIs or for any other purpose. The OECD may decide to suspend or terminate the provision of the APIs and API-accessible Data at any time.

    The OECD may release updated versions of the APIs from time to time and at its sole discretion. Once the OECD releases updated versions, previous APIs may no longer function properly, and You therefore agree, for each API, to use the most up-to-date version available.

    You agree not to modify, distribute, decompile, disassemble, reverse engineer or perform any similar action on the APIs or any of their portions or components.

    The OECD reserves the right to limit or suspend any User’s IP address access to the APIs at any time and without notice for any reason, including if the OECD determines that You are using or are attempting to use the Data and/or the APIs in violation of these Terms and Conditions in such a way as to harm the OECD or any other party, or if You are placing too great a strain on the infrastructure necessary for making the Data available to a reasonable number of people. You agree not to use any technical means to interfere with the OECD’s monitoring of usage of the above-mentioned resources. The OECD reserves the right to use any technical means to overcome attempted technical interference with usage monitoring. Finally, the Data and the APIs will be unavailable from time to time, at the OECD’s sole discretion, for periodic maintenance.

    When entering an API query, the OECD encourages, but does not require, You to register your details so that we can keep You informed of technical updates to the APIs. The information You provide to the OECD during the voluntary registration process will be handled in accordance with the OECD Privacy Policy. Registration in no way impacts the application of these Terms and Conditions on You or the OECD.

    As noted above, these Terms and Conditions may be ...

  10. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Oct 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    Eximpedia Export Import Trade Data
    Eximpedia PTE LTD
    Authors
    Seair Exim
    Area covered
    Nauru, Bermuda, Anguilla, Burundi, Panama, Northern Mariana Islands, Saint Martin (French part), Ukraine, Syrian Arab Republic, Congo
    Description

    Oecd Ocde Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  11. Annual household final consumption expenditure by purpose (COICOP 2018) (for...

    • db.nomics.world
    Updated Nov 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2025). Annual household final consumption expenditure by purpose (COICOP 2018) (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_NAMAIN10@DF_TABLE5A_T500
    Explore at:
    Dataset updated
    Nov 25, 2025
    Authors
    DBnomics
    Description

    This dataset provides the whole set of OECD annual households final consumption expenditure data (COICOP 2018) and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.

    The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.

       To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a>
    
  12. OECD

    • hosted-metadata.bgs.ac.uk
    Updated Jun 1, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OECD (2017). OECD [Dataset]. https://hosted-metadata.bgs.ac.uk/geonetwork/srv/api/records/7477303c-0dfc-4629-b5e2-6a00c6951935?language=all
    Explore at:
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Organisation for Economic Co-operation and Developmenthttp://oecd.org/
    Area covered
    Earth
    Description

    OECD iLibrary is the online library of the Organisation for Economic Cooperation and Development (OECD) featuring its books, papers and statistics and is the gateway to OECD’s analysis and data. It replaced SourceOECD in July 2010. OECD iLibrary also contains content published by the International Energy Agency (IEA), the Nuclear Energy Agency (NEA), the OECD Development Centre, PISA (Programme for International Student Assessment), and the International Transport Forum (ITF). OECD iLibrary presents all content so users can find - and cite - tables and databases as easily as articles or chapters in any available format: PDF, WEB, XLS, DATA, ePUB, READ.
    The library contains a wide variety of data sources including: Agriculture and Food, Development, Economics, Education, Employment ,Energy ,Environment ,Finance and Investment ,Governance ,Industry and Services ,Nuclear Energy ,Science and Technology ,Social Issues/Migration/Health ,Taxation ,Trade , and Transport

    Website: http://www.oecd-ilibrary.org/

  13. e

    Индикаторы SUT | SUT Indicators

    • repository.econdata.tech
    Updated Nov 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Индикаторы SUT | SUT Indicators [Dataset]. https://repository.econdata.tech/dataset/sdmxoecd-dsd-nasu-df-indicator
    Explore at:
    Dataset updated
    Nov 7, 2025
    Description

    Этот набор данных содержит весь набор показателей SUT ОЭСР и рекомендуется пользователям, которые хотят запрашивать большой объем данных. Он не предназначен для визуализации результатов с помощью кнопок таблицы и диаграммы. Чтобы получить доступ к "Конструктору запросов API разработчика", нажмите на кнопку "API разработчика" выше. Интерфейс прикладного программирования (API), основанный на стандарте SDMX, позволяет разработчику получать доступ к данным, используя простые параметры URL-адреса RESTful и заголовка HTTP для различных форматов ответов, включая JSON. Фильтр запроса генерируется в соответствии с текущим выбором данных. Чтобы изменить выбор данных, воспользуйтесь фильтрами слева. Для начала ознакомьтесь с Документацией по API. По любым вопросам обращайтесь к намДоступна таблица сопоставления между старыми кодами OECD.Stat и новыми кодами OECD Data Explorer here. Этот ансамбль носильщиков представляет собой совокупность указателей на ПРИРОДУ и является рекомендацией для тех, кто так эффективно выполняет требования к большому количеству носильщиков. Это не просто способ визуализации результатов в виде бутонов в виде таблиц и графиков. В соответствии с требованиями генерального директора API, клик на бутон "API для развития" завершается. Интерфейс прикладного программирования (API), основанный на нормальном SDMX, предназначен для разработчиков приложений, использующих простые функции, такие как RESTful и tete HTTP, для различных форматов отображения, включая формат JSON. Фильтр для запроса - это функция, используемая при выборе одежды. Чтобы усовершенствовать процедуру выбора одежды, необходимо использовать фильтры для гош. Консультант Veuillez в Лос-Анджелесе API документации (на английском языке). По этому вопросу свяжитесь с нами.Таблица соответствия между древними кодексами ОЭСР.Статистика и новые коды обозревателя данных ОЭСР противоречивы ici. This dataset provides the whole set of OECD SUT indicators and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. To get started check the API documentation. For any question contact usThe mapping table between old OECD.Stat and new OECD Data Explorer codes is available here. Cet ensemble de données fournit la totalité des indicateurs TRE de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. Veuillez consulter la documentation API (en anglais seulement). Pour toute question contactez-nous.Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible ici.

  14. e

    Ежеквартальные национальные счета | Quarterly National Accounts

    • repository.econdata.tech
    Updated Nov 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Ежеквартальные национальные счета | Quarterly National Accounts [Dataset]. https://repository.econdata.tech/dataset/sdmxoecd-dsd-namain1-df-qna
    Explore at:
    Dataset updated
    Nov 7, 2025
    Description

    Этот набор данных содержит весь набор данных ежеквартальных национальных счетов ОЭСР и рекомендуется пользователям, которые хотят запрашивать большой объем данных. Он не предназначен для визуализации результатов с помощью кнопок таблицы и диаграммы. Чтобы получить доступ к "Конструктору запросов API разработчика", нажмите на кнопку "API разработчика" выше. Интерфейс прикладного программирования (API), основанный на стандарте SDMX, позволяет разработчику получать доступ к данным, используя простые параметры RESTful URL и HTTP-заголовка для различных вариантов ответов, включая JSON. Фильтр запроса генерируется в соответствии с текущим выбором данных. Чтобы изменить выбор данных, воспользуйтесь фильтрами слева. Для начала ознакомьтесь с Документацией по API. По любым вопросам обращайтесь к намДоступна таблица сопоставления между старыми кодами OECD.Stat и новыми кодами OECD Data Explorer here. Эти показатели были представлены в предыдущей системе распространения в наборе данных QNA. Смотрите Руководство пользователя по ежеквартальным национальным счетам (QNA) в OECD Data Explorer: Руководство пользователя QNA Смотрите Календарь QNA для получения информации о предварительных датах выпуска: Календарь QNA Информацию об изменениях в методологии смотрите в разделе Изменения в QNA: Изменения в QNA Смотрите СОВЕТЫ QNA по более эффективному использованию данных QNA: СОВЕТЫ QNA Ознакомьтесь также с веб-страницей ВВП и нефинансовых отчетов: Веб-страница ВВП и нефинансовых отчетов Контактное лицо по статистике ОЭСР: СТАТИСТИКА.Contact@oecd.org Этот ансамбль из четырех человек является тотальным собранием представителей национальных триместров в мире и является рекомендацией для тех, кто так эффективно выполняет требования к большому количеству людей. Это не просто способ визуализации результатов в виде бутонов в виде таблиц и графиков. В соответствии с требованиями генерального директора API, клик на бутон "API для развития" завершается. Интерфейс прикладного программирования (API), основанный на нормальном SDMX, предназначен для разработчиков приложений, использующих простые функции, такие как RESTful и tête HTTP, для различных форматов обмена сообщениями, включая формат JSON. Фильтр для запроса - это функция, используемая при выборе одежды. Чтобы усовершенствовать процедуру выбора одежды, необходимо использовать фильтры для гош. Консультант Veuillez в Лос-Анджелесе API документации (на английском языке). По этому вопросу свяжитесь с нами.Таблица соответствия между древними кодексами ОЭСР.Статистика и новые коды обозревателя данных ОЭСР противоречивы ici. Эти показатели являются показательными для представителей системы распространения, а также для представителей собрания доннеев QNA. Руководство по использованию национальных триместров (QNA) для исследователей Океана (в английском регионе): Руководство пользователя QNA Приложение для составления календаря "QNA Calendar" содержит информацию о датах публикации (только на английском языке): Календарь QNA Вот документ "Изменения QNA", содержащий информацию об изменениях в методологии: Изменения QNA Исследуйте австралийскую страницу в Интернете для частных лиц и компаний, не занимающихся финансированием : страница в Интернете для частных лиц и компаний, не занимающихся финансированием Обратитесь в отдел статистики: СТАТИСТИКА.Contact@oecd.org This dataset provides the whole set of OECD Quarterly National Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. To get started check the API documentation. For any question contact usThe mapping table between old OECD.Stat and new OECD Data Explorer codes is available here. These indicators were presented in the previous dissemination system in the QNA dataset. See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide See QNA Calendar for information on advance release dates: QNA Calendar See QNA Changes for information on changes in methodology: QNA Changes See QNA TIPS for a better use of QNA data: QNA TIPS Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage OECD statistics contact: STAT.Contact@oecd.org Cet ensemble de données fournit la totalité des données des comptes nationaux trimestriels de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. Veuillez consulter la documentation API (en anglais seulement). Pour toute question contactez-nous.Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible ici. Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): QNA User guide Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): QNA Calendar Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: QNA Changes Explorez aussi la page Web du PIB et comptes non financiers : page Web du PIB et comptes non financiers Contact statistique OCDE: STAT.Contact@oecd.org

  15. Economic statistics - Regions (for 'Developer API')

    • db.nomics.world
    Updated Oct 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2025). Economic statistics - Regions (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO@DF_ECO
    Explore at:
    Dataset updated
    Oct 14, 2025
    Authors
    DBnomics
    Description

    This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).

    Regions and territorial levels

    Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

    The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

    Regional typologies

    Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

    • Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).
    • Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

    The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

    Cite this dataset

    OECD Regions and Cities databases http://oe.cd/geostats

    Further information

    Subnational statistics can be further explored with:

    For any question or comment, please write to RegionStat@oecd.org

  16. COVID-19 Worldwide Daily Data

    • kaggle.com
    zip
    Updated Aug 28, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Altadata (2020). COVID-19 Worldwide Daily Data [Dataset]. https://www.kaggle.com/altadata/covid19
    Explore at:
    zip(469881 bytes)Available download formats
    Dataset updated
    Aug 28, 2020
    Authors
    Altadata
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F5505749%2F2b83271d61e47e2523e10dc9c28e545c%2F600x200.jpg?generation=1599042483103679&alt=media" alt="">

    ALTADATA is a curated data marketplace where our subscribers and our data partners can easily exchange ready-to-analyze datasets and create insights with EPO, our visual data analytics platform.

    COVID-19 Worldwide Daily Data

    Daily global COVID-19 data for all countries, provided by Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE). If you want to use the update version of the data, you can use our daily updated data with the help of api key by entering it via Altadata.

    Overview

    In this data product, you may find the latest and historical global daily data on the COVID-19 pandemic for all countries.

    The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 30 January 2020 and a pandemic on 11 March. As of 12 August 2020, more than 20.2 million cases of COVID‑19 have been reported in more than 188 countries and territories, resulting in more than 741,000 deaths; more than 12.5 million people have recovered.

    The Johns Hopkins Coronavirus Resource Center is a continuously updated source of COVID-19 data and expert guidance. They aggregate and analyze the best data available on COVID-19 - including cases, as well as testing, contact tracing and vaccine efforts - to help the public, policymakers and healthcare professionals worldwide respond to the pandemic.

    Methodology

    • Cases and Death counts include confirmed and probable (where reported)
    • Recovered cases are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number. US state-level recovered cases are from COVID Tracking Project.
    • Active cases = total cases - total recovered - total deaths
    • Incidence Rate = cases per 100,000 persons
    • Case-Fatality Ratio (%) = Number recorded deaths / Number cases
    • Country Population represents 2019 projections by UN Population Division, integrated to the JHU CSSE's COVID-19 data by ALTADATA

    Data Source

    Related Data Products

    Suggested Blog Posts

    Data Dictionary

    • Reported Date (reported_date) : Covid-19 Report Date
    • Country_Region (country_region) : Country, region or sovereignty name
    • Population (population) : Country populations as per United Nations Population Division
    • Confirmed Case (confirmed) : Confirmed cases include presumptive positive cases and probable cases
    • Active cases (active) : Active cases = total confirmed - total recovered - total deaths
    • Deaths (deaths) : Death cases counts
    • Recovered (recovered) : Recovered cases counts
    • Mortality Rate (mortality_rate) : Number of recorded deaths * 100 / Number of confirmed cases
    • Incident Rate (incident_rate) : Confirmed cases per 100,000 persons
  17. e

    Ежеквартальные отраслевые отчеты | Quarterly Sector Accounts

    • repository.econdata.tech
    Updated Nov 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Ежеквартальные отраслевые отчеты | Quarterly Sector Accounts [Dataset]. https://repository.econdata.tech/dataset/sdmxoecd-dsd-nasec1-df-qsa
    Explore at:
    Dataset updated
    Nov 7, 2025
    Description

    Этот набор данных содержит весь набор данных ежеквартальных отраслевых счетов ОЭСР и рекомендуется пользователям, которые хотят запрашивать большой объем данных. Он не предназначен для визуализации результатов с помощью кнопок таблицы и диаграммы. Чтобы получить доступ к "Конструктору запросов API разработчика", нажмите на кнопку "API разработчика" выше. Интерфейс прикладного программирования (API), основанный на стандарте SDMX, позволяет разработчику получать доступ к данным, используя простой RESTful URL и HTTP-заголовки для различных вариантов ответов, включая JSON. Фильтр запроса генерируется в соответствии с текущим выбором данных. Чтобы изменить выбор данных, воспользуйтесь фильтрами слева. Для начала ознакомьтесь с Документацией по API. По любым вопросам обращайтесь к нам Смотрите Руководство пользователя по ежеквартальным национальным счетам (QNA) в OECD Data Explorer: Руководство пользователя QNA Этот набор одежды для всей семьи представляет собой набор одежды для национальных соревнований по триместрам в мире и является рекомендацией для пользователей, которые хотят максимально эффективно выполнять требования к великий титул благородных девиц. Это не просто способ визуализации результатов в виде бутонов в виде таблиц и графиков. В соответствии с требованиями генерального директора API, клик на бутон "API для развития" завершается. Интерфейс прикладного программирования (API), основанный на нормальном SDMX, предназначен для разработчиков приложений, использующих простые функции, такие как RESTful и tête HTTP, для различных форматов обмена сообщениями, включая формат JSON. Фильтр для запроса - это функция, используемая при выборе одежды. Чтобы усовершенствовать процедуру выбора одежды, необходимо использовать фильтры для гош. Консультант Veuillez в Лос-Анджелесе API документации (на английском языке). По этому вопросу свяжитесь с нами. Руководство по использованию национальных триместров (QNA) для исследователей Океана (в английском регионе): Руководство пользователя QNA This dataset provides the whole set of OECD Quarterly Sector Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. To get started check the API documentation. For any question contact us See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide Cet ensemble de données fournit la totalité des données des comptes nationaux trimestriels de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. Veuillez consulter la documentation API (en anglais seulement). Pour toute question contactez-nous. Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): QNA User guide

  18. e

    Использование SUT по ценам покупателей | SUT Use at purchasers' prices -...

    • repository.econdata.tech
    Updated Nov 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Использование SUT по ценам покупателей | SUT Use at purchasers' prices - Dataset - Репозиторий данных [Dataset]. https://repository.econdata.tech/dataset/sdmxoecd-dsd-nasu-df-usepp
    Explore at:
    Dataset updated
    Nov 7, 2025
    Description

    Этот набор данных предоставляет полный набор данных для использования в SUT ОЭСР по ценам покупателей и рекомендуется для пользователей, которые хотят запрашивать большой объем данных. Он не предназначен для визуализации результатов с помощью кнопок таблицы и диаграммы. Чтобы получить доступ к "Конструктору запросов API разработчика", нажмите на кнопку "API разработчика" выше. Интерфейс прикладного программирования (API), основанный на стандарте SDMX, позволяет разработчику получать доступ к данным, используя простые параметры URL-адреса RESTful и заголовка HTTP для различных форматов ответов, включая JSON. Фильтр запроса генерируется в соответствии с текущим выбором данных. Чтобы изменить выбор данных, воспользуйтесь фильтрами слева. Для начала ознакомьтесь с Документацией по API. По любым вопросам обращайтесь к намТаблица сопоставления между старыми странами ОЭСР.Доступны статистические данные и новые коды обозревателя данных ОЭСР here< доступны исторические данные по Корее за период с 2015 по 2019 год here Cet ensemble de données это полный список лучших специалистов, получивших приз за изучение мирового океана, и рекомендации для тех, кто так эффективно выполняет требования к большому количеству носильщиков. Это не просто способ визуализации результатов в виде бутонов в виде таблиц и графиков. В соответствии с требованиями генерального директора API, клик на бутон "API для развития" завершается. Интерфейс прикладного программирования (API), основанный на нормальном SDMX, предназначен для разработчиков приложений, использующих простые функции, такие как RESTful и tete HTTP, для различных форматов обмена сообщениями, включая формат JSON. Фильтр для запроса - это функция, используемая при выборе одежды. Чтобы усовершенствовать процедуру выбора одежды, необходимо использовать фильтры для гош. Консультант Veuillez в Лос-Анджелесе API документации (на английском языке). По этому вопросу свяжитесь с нами..Таблица соответствия между древними кодексами ОЭСР.Статистика и новые коды в обзоре данных ОЭСР являются спорными iciИсторические данные за период с 2015 по 2019 год остаются спорными ici This dataset provides the whole set of OECD SUT Use at purchasers' prices and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. To get started check the API documentation. For any question contact usThe mapping table between old OECD.Stat and new OECD Data Explorer codes is available hereHistorical data for Korea from 2015 to 2019 is available here Cet ensemble de données fournit la totalité des TRE Emplois aux prix d'acquisition de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. Veuillez consulter la documentation API (en anglais seulement). Pour toute question contactez-nous..Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible iciLes données historiques pour la Corée de 2015 À 2019 sont disponibles ici

  19. o

    Data from: Reliance on Science in Patenting

    • explore.openaire.eu
    • zenodo.org
    Updated Oct 13, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Matt Marx; Aaron Fuegi (2020). Reliance on Science in Patenting [Dataset]. http://doi.org/10.5281/zenodo.3236339
    Explore at:
    Dataset updated
    Oct 13, 2020
    Authors
    Matt Marx; Aaron Fuegi
    Description

    This dataset contains citations from USPTO patents granted 1947-2018 to articles captured by the Microsoft Academic Graph (MAG) from 1800-2018. If you use the data, please cite these two papers: for the dataset of citations: Marx, Matt and Aaron Fuegi, "Reliance on Science in Patenting: USPTO Front-Page Citations to Scientific Articles" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686). for the underlying dataset of papers Sinha, Arnab, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246. The main file, pcs.tsv, contains the resolved citations. Fields are tab-separated. Each match has the patent number, MAG ID, the original citation from the patent, an indicator for whether the citation was supplied by the applicant, examiner, or unknown, and a confidence score (1-10) indicating how likely this match is correct. Note that this distribution does not contain matches with confidence 2 or 1. There is also a PubMed-specific match in pcs-pubmed.tsv. The remaining files are a redistribution of the 1 January 2019 release of the Microsoft Academic Graph. All of these files are compressed using ZIP compression under CentOS5. Original files, documented at https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema, can be downloaded from https://aka.ms/msracad; this redistribution carves up the original files into smaller, variable-specific files that can be loaded individually (see _relianceonscience.pdf for full details). Source code for generating the patent citations to science in pcs.tsv is available at https://github.com/mattmarx/reliance_on_science. Source code for generating jif.zip and jcif.zip (Journal Impact Factor and Journal Commercial Impact Factor) is at https://github.com/mattmarx/jcif. Although MAG contains authors and affiliations for each paper, it does not contain the location for affiliations. We have created a dataset of locations for affiliations appearing at least 100x using Bing Maps and Google Maps; however, it is unclear to us whether the API licensing terms allow us to repost their data. In any case, you can download our source code for doing so here: https://github.com/ksjiaxian/api-requester-locations. MAG extracts field keywords for each paper (paperfieldid.zip and fieldidname.zip) --more than 200,000 fields in all! When looking to study industries or technical areas you might find this a bit overwhelming. We mapped the MAG subjects to six OECD fields and 39 subfields, defined here: http://www.oecd.org/science/inno/38235147.pdf. Clarivate provides a crosswalk between the OECD classifications and Web of Science fields, so we include WoS fields as well. This file is magfield_oecd_wos_crosswalk.zip.

  20. Agenda 2030 SDG – Net Official Development Assistance to Least Developed...

    • data.europa.eu
    unknown
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Instituto Nacional de Estadística, Agenda 2030 SDG – Net Official Development Assistance to Least Developed Countries from Organisation for Economic Cooperation and Development (OECD) Development Assistance Committee donors (API-Kennung: 235:195) Agenda 2030 SDG – Net Official Development Assistance to Least Developed Countries from Organisation for Economic Cooperation and Development (OECD) Development Assistance Committee donors (API-Kennung: 235:195) [Dataset]. https://data.europa.eu/data/datasets/urn-ine-es-ods-5292-235-195?locale=de
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    Instituto Nacional de Estadísticahttp://www.ine.es/
    License

    http://www.ine.es/aviso_legalhttp://www.ine.es/aviso_legal

    Description

    SDGs / Indikatoren der Agenda 2030 für nachhaltige Entwicklung / Ziel 17. Stärkung der Mittel zur Umsetzung und Wiederbelebung der Globalen Partnerschaft für nachhaltige Entwicklung / Ziel 17.2. sicherzustellen, dass die Industrieländer ihre Verpflichtungen im Bereich der öffentlichen Entwicklungshilfe vollständig erfüllen, einschließlich der Zusage vieler Industrieländer, das Ziel von 0,7 % des Bruttonationaleinkommens für die öffentliche Entwicklungshilfe für Entwicklungsländer und 0,15 % bis 0,20 % des Bruttonationaleinkommens für die öffentliche Entwicklungshilfe für die am wenigsten entwickelten Länder zu erreichen; Die öffentlichen Entwicklungshilfeanbieter werden ermutigt, die Festlegung eines Ziels von mindestens 0,20 Prozent des Bruttonationaleinkommens für die öffentliche Entwicklungshilfe für die am wenigsten entwickelten Länder in Erwägung zu ziehen / Indikator 17.2.1. Öffentliche Entwicklungshilfe (Netto-, Gesamt- und am wenigsten entwickelte Länder) als Anteil am Bruttonationaleinkommen (BNE) der OECD/DAC-Geber

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
DBnomics (2025). Quarterly National Accounts (for 'Developer API') [Dataset]. https://db.nomics.world/OECD/DSD_NAMAIN1@DF_QNA
Organization logo

Quarterly National Accounts (for 'Developer API')

OECD/DSD_NAMAIN1@DF_QNA

Explore at:
Dataset updated
Oct 21, 2025
Authors
DBnomics
Description

This dataset provides the whole set of OECD Quarterly National Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above.

The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.

To get started check the API documentation. For any question contact us

The mapping table between old OECD.Stat and new OECD Data Explorer codes is available here.

These indicators were presented in the previous dissemination system in the QNA dataset.
See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: QNA User guide
See QNA Calendar for information on advance release dates: QNA Calendar
See QNA Changes for information on changes in methodology: QNA Changes
See QNA TIPS for a better use of QNA data: QNA TIPS
Explore also the GDP and non-financial accounts webpage: GDP and non-financial accounts webpage
OECD statistics contact: STAT.Contact@oecd.org

Search
Clear search
Close search
Google apps
Main menu