Organisation for Economic Co-operation and Development

The Organisation for Economic Co-operation and Development (OECD) is an international economic organisation of 34 countries founded in 1961 to stimulate economic progress and world trade. It is a forum of countries committed to democracy and the market economy, providing a platform to compare policy experiences, seek answers to common problems, identify good practices and co-ordinate domestic and international policies of its members.

Все наборы данных: A M O P R S
  • A
    • Сентябрь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 11 сентября, 2024
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      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors. This dataset covers the OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices, and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly and annual statistics for each country. Annual figures refer to the average of the year.
  • M
    • Сентябрь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 12 сентября, 2024
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      This dataset contains monthly Comparative Price Levels (CPL) for OECD countries. CPLs are defined as the ratios of PPPs for private final consumption expenditure to exchange rates. They provide measures of differences in price levels between countries. The monthly PPPs used to derive the table are OECD estimates. The table is to be read vertically. Each column shows the number of specified monetary units needed in each of the countries listed to buy the same representative basket of consumer goods and services. In each case the representative basket costs a hundred units in the country whose currency is specified. Let’s take an example. If you are a Canadian citizen and you want to know the price level in Canada when compared to other countries, you have to look at the column Canada, where the price level is set at 100 for the whole column. If you have 120 for Finland, it means that the price level in Finland is 20% higher than in Canada. It means that you would spend 120 dollars in Finland to buy the same basket of goods and services when you spend 100 in Canada. The monthly PPPs used to derive the table are obtained by extrapolating 2022 PPPs for household final consumption expenditure using the relative rates of inflation between the countries as measured by their consumer price indices. Unless a country is a high inflation country, its PPP will tend to change slowly over time. Month-to-month changes in comparative price levels are more likely to be the result of exchange rate fluctuations. Updated data are available at the beginning of each month. Click here for release dates OECD statistics contact: [email protected]
  • O
    • Июнь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 22 июня, 2024
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      The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton, roots and tubers and pulses. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2023. The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources. For further details on particular series, enquiries should be directed to the OECD and FAO Secretariats.
  • P
    • Сентябрь 2023
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 09 сентября, 2023
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  • R
    • Июнь 2020
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 июня, 2020
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      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the price of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. This dataset covers the 34 OECD member countries and some non-member countries. Please note that not all RPPIs are available for all countries. For instance, the RPPI at the most aggregate level for the United States only covers single-family dwellings, not all types of dwellings as it is the case for most other OECD countries. This dataset presents, for each country, the RPPI that is available at the most aggregate level. It mainly contains quarterly statistics. The dataset called “Residential Property Price Indices (RPPIs) – Complete dataset” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.
    • Июнь 2020
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 16 июня, 2020
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  • S
    • Сентябрь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2024
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      Total supply refers to the sum of output produced in the territory and imports of all goods and services in the economy, which is broken down by type of product. Purchasers’ prices refer to the prices paid by the buyer. For each product, the indicator is calculated as: Imports of the product / Total supply at purchasers’ prices of the same product. This indicator is calculated by the OECD from the Supply table reported to the OECD by countries in their answers to the Supply and Use questionnaire. The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system. A mapping between the new codes and previous codes is available in SUT_INDICATOR_Codes_mapping Explore the OECD SUT webpage SUT webpage
    • Сентябрь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2024
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      This dataset describes the matrix of trade and transport margins (trade margins are the difference in price realised by a wholesaler or retailer when reselling a good compared with the price to replace the good ; transport margins are transportation charges explicitly invoiced for the delivery). This dataset is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border). The columns provide information about trade and transport margins related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports. The rows provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown). The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire. Information about data availability is available in SUT updates The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system. A mapping between the new codes and previous codes is available in SUT_VALUATION_Codes_mapping The file SUT_Tips contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system. Explore the OECD SUT webpage SUT webpage
    • Сентябрь 2024
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 18 сентября, 2024
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      This dataset describes the use of goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as input into a production process) and various categories of final demand such as consumption, investment and exports. It presents the Use table at basic prices (the price received by the producer or for imports, the value at the border). The Use table is organized in a matrix format: The columns provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households; investment or gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports, of which re-exports. The rows provide a breakdown by product (using the comparable European breakdown Classification of Products by Activities (CPA) breakdown). This dataset does not contain the value added block. This is presented separately in the dataset “SUT Use, Value added and its components by activity”. The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire. Information about data availability is available in SUT updates The dataset corresponds to SNA_TABLE43 dataset in the previous dissemination system. A mapping between the new codes and previous codes is available in SUT_USEBP_Codes_mapping The file SUT_Tips contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system. Explore the OECD SUT webpage SUT webpage