STAN: OECD Structural Analysis Statistics

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ISSN :
2074-434X (online)
DOI :
10.1787/stan-data-en
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The Structural Analysis Statistics enable researchers to analyse industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade. The industry list, based on ISIC Rev. 3, provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. STAN is primarily based on Member countries' annual national accounts by activity tables and uses data from other sources, such as national industrial surveys and censuses, to estimate any missing detail. Since many of the data points in STAN are estimated, they do not represent official Member country submissions.

Also available in: French
Keywords: Structural Analysis Statistics
 

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    STAN Bilateral trade database by industry and end-use category

    The STAN Bilateral trade database by industry and end-use category database provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity.
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    STAN Bilateral trade database by industry and end-use category, 2011

    The STAN Bilateral trade database by industry and end-use category database provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity.

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    STAN Bilateral Trade Database 2010

    The STAN Bilateral Trade Database 2008 for industrial analysis (BTD) belongs to the STAN Family datasets and is designed to provide analysts and researchers with information on trade in goods broken down by reporter, partner country (or geographical/economic area) and economic activity.The BTD tables for OECD countries are derived from the OECD's International Trade by Commodity Statistics (ITCS) database where (values and quantities of) imports and exports are compiled according to industry classifications (agriculture, manufacuturing, pharmaceuticals, transport,waste, technology) and by partner country. Data are presented in US dollars, at current prices and are available from 1988 onwards
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    STAN Industry Rev. 4

    The OECD STAN Industry database provides statistics analysing industrial performance at a relatively detailed level of activity. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. Through the use of a standard industry list, comparisons can be made across countries. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. STAN is primarily based on member countries' Annual National Accounts by activity tables and uses data from other sources, such as national business surveys/censuses, to estimate any missing detail. STAN is based on the ISIC Rev. 4 classification and covers all activities (including services). Data are presented from 1970 onwards.

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    STAN Industry Rev. 3, 2008

    The OECD STAN Industry database provides statistics analysing industrial performance at a relatively detailed level of activity. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. Through the use of a standard industry list, comparisons can be made across countries. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. STAN is primarily based on member countries' Annual National Accounts by activity tables and uses data from other sources, such as national business surveys/censuses, to estimate any missing detail. STAN is based on the ISIC Rev. 3 classification and covers all activities (including services). Data are presented from 1970 onwards and are expressed in national currency for current price data with various units of measure (PROD, VALU, GFCF, LABR, EXPO etc.).
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    STAN Industry Rev. 3, 2005

    The OECD STAN Industry database 2005 provides a comprehensive tool for analysing industrial performance at a relatively detailed level of activity. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change.Through the use of a standard industry list, comparisons can be made across countries. The industry list provides sufficient detail to enable users to highlight high-technology sectors, manufacturing, chemicals, real estate and is compatible with those used in related OECD databases. STAN is primarily based on member countries' Annual National Accounts by activity tables and uses data from other sources, such as national business surveys/censuses, to estimate any missing detail. STAN is based on the ISIC Rev. 3 classification and covers all activities (including services). Data coverage ranges from 1970-2003.
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    STAN Indicators Rev. 4

    STAN Indicators provides annual indicators related to production and employment structure, labour productivity and labour costs, investment, business research and development expenditures and international trade patterns. Data are presented for OECD countries and cover the time-period 1970-2011, although the time coverage may vary across countries and indicators. 

    Series are provided for a wide range of economic activities (according to an ISIC Rev.4 based hierarchy) compatible with the list in the underlying STAN Database in ISIC Rev. 4. 

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    STAN indicators Rev. 3, 2011

    STAN Indicators databases highlight vital trends in industrial structure and performance for all OECD countries and various country groups, providing analysts and researchers with a comprehensive tool for analysis.
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    STAN Indicators Rev. 3, 2009

    STAN Indicators 2009 database highlights vital trends in industrial structure and performance for all OECD countries and various country groups, providing analysts and researchers with a comprehensive tool for analysis. This detailed data set presents annual indicators addressing themes such as: international trade, employment and productivity, industrial composition, business enterprise R&D and investment which are presented by industry (manufacturing, real estate, textiles). It allows users to focus on productivity growth, competitiveness and general structural change, while furnishing sufficient detail to enable users to isolate high-technology sectors and make comparisons across countries. Data are presented from 1970 onwards with annual datapoints.
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    STAN indicators Rev. 3, 2005

    This dataset comprises statistics on STAN indicators 2005 highlighting vita; trends in industrial structure and performance for all OECD countries and various country groups. This detailed data set presents annual indicators addressing themes such as: international trade, employment and productivity, industrial composition, business enterprise R&D and investment The industrial breakdown presented for STAN indicators Database is based upon the International Standard Industrial Classification (ISIC) Revision 3 including sectors such as pulp and paper, machinery, manufacturing, energy and more. It allows users to focus on productivity growth, competitiveness and general structural change, while furnishing sufficient detail to enable users to isolate high-technology sectors and make comparisons across countries. Data coverage ranges from 1980 to 2003 with annual datapoints
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    STAN R&D: Research and Development Expenditure in Industry - Rev. 3 2011

    This table presents comprehensive and internationally comparable time-series on industrial R&D expenditures in ISIC Revision 3 for 31 OECD countries and 6 non-member economies, as well as a zone total for the EU. Compatible with those used in other OECD databases, the industry list now covers a number of service and technological sectors of interest. OECD estimates adjust for deficiencies and anomalies in the official data.
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    STAN R&D: Research and Development Expenditure in Industry - Rev. 3 2009

    The OECD's ANBERD database presents comprehensive and internationally comparable time-series on industrial R&D expenditures with respect to the ISIC Revesion 3. Series are published from 1987 to 2009 (up to 2010 in few cases) for 32 OECD countries and 6 non-member economies. Data for other countries (Denmark and Sweden) will be added as they become available. The ANBERD database presents industrial R&D expenditure data broken down in 60 manufacturing and services sectors for OECD countries and selected non-member economies. The reported data are in ISIC Revision 3.1, start from 1987 and are expressed in national currencies as well as in PPP US dollars, both at current and constant prices.
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    STAN R&D: Research and Development Expenditure in Industry - Rev. 2

    The ANBERD (Analytical Business Enterprise Research and Development) database is designed to provide analysts and researchers with comprehensive and internationally comparable time-series on industrial R&D expenditures. ANBERD contains OECD estimates that adjust for deficiencies and anomalies that exist in the official data.
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    Expand / Collapse STAN Input-Output

    Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy.
    • Click to Access:  Input Output Database
      STAN Input-Output dataset describes the sale and purchase relationships between producers and consumers within an economy
    • Click to Access:  Intermediate Import Ratio
      This dataset comprises statistics on intermediate import ratio input-output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The intermediate import ratio table is calculated as intermediate import amount / total intermediate demand for each sector.
    • Click to Access:  Inverse matrix (total)
      This dataset comprises statistics on inverse matrix input-output tables describing the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The *1 Leontief Inverse matrix (I-A)^(-1) shows output rises in each sector due to the unit increase in final demand. A is an input-coefficient matrix from I-O total table.
    • Click to Access:  Inverse matrix coefficients (domestic)
      This comparative table includes statistics on inverse matrix coefficients for input-output tables within the domestic market describing the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The *1 Leontief Inverse matrix (I-A)^(-1) shows output rises in each sector due to the unit increase in final demand. A is an input-coefficient matrix from I-O total table.
    • Click to Access:  Imports content of exports
      This dataset includes statistics on import content of exports with respect to the STAN input-output tables describing the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The import contents of export indicator represents the degree of vertical specialization. The contribution that imports make in the production of exports of goods and services.
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