32 datasets found
  1. Total consumer spending on education in Hungary 2014-2029

    • statista.com
    Updated Apr 7, 2025
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    Statista Research Department (2025). Total consumer spending on education in Hungary 2014-2029 [Dataset]. https://www.statista.com/topics/9751/education-in-hungary/
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    Dataset updated
    Apr 7, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Hungary
    Description

    The total consumer spending on education in Hungary was forecast to continuously increase between 2024 and 2029 by in total 601.3 million U.S. dollars (+31.66 percent). After the ninth consecutive increasing year, the education-related spending is estimated to reach 2.5 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case eduction-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group tenth As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending on education in countries like Slovakia and Czechia.

  2. f

    Results of regional heterogeneity.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Bao Bing (2023). Results of regional heterogeneity. [Dataset]. http://doi.org/10.1371/journal.pone.0289817.t006
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    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bao Bing
    License

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

    Description

    In the context of China’s new stage of economic development, this study examines the role of higher education in China’s high quality economic development (HQED) strategy from a digital perspective. Using panel data of 30 Chinese provinces (municipalities and autonomous regions) collected from 2012–2020, comprehensive evaluations of the level of higher education and HQED are conducted through the entropy method, and a regression analysis is carried out with the fixed effect model. The results show that the level of higher education is positively associated with HQED and is able to achieve this effect through mechanisms that actively promote digital innovation and development. Further, the structure and quality of higher education plays a greater part in facilitating digital development than the scale and quantity. The heterogeneity analysis demonstrates that the impact of higher education on HQED is more significant in the eastern region of China than in the western region. An increase in the proportion of fiscal expenditure to GDP diminishes the impact of higher education on HQED, while an improvement in digital governance level enhances its influence.

  3. Sweden SE: Gross Domestic Product: Current PPP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: Gross Domestic Product: Current PPP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-product-gdp-ppp-and-gdp-deflator-oecd-member-annual/se-gross-domestic-product-current-ppp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Sweden
    Description

    Sweden SE: Gross Domestic Product (GDP): Current PPP data was reported at 739.741 USD bn in 2023. This records an increase from the previous number of 714.037 USD bn for 2022. Sweden SE: Gross Domestic Product (GDP): Current PPP data is updated yearly, averaging 276.018 USD bn from Dec 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 739.741 USD bn in 2023 and a record low of 102.647 USD bn in 1981. Sweden SE: Gross Domestic Product (GDP): Current PPP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Product, GDP PPP and GDP Deflator: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  4. Sweden SE: GOVERD: % of GDP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: GOVERD: % of GDP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/se-goverd--of-gdp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Sweden
    Description

    Sweden SE: GOVERD: % of GDP data was reported at 0.143 % in 2022. This records a decrease from the previous number of 0.150 % for 2021. Sweden SE: GOVERD: % of GDP data is updated yearly, averaging 0.121 % from Dec 1981 (Median) to 2022, with 31 observations. The data reached an all-time high of 0.164 % in 2005 and a record low of 0.100 % in 1989. Sweden SE: GOVERD: % of GDP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  5. Sweden SE: GDP: Value Added: Current PPP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: GDP: Value Added: Current PPP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-product-gdp-ppp-and-gdp-deflator-oecd-member-annual/se-gdp-value-added-current-ppp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Sweden
    Description

    Sweden SE: GDP: Value Added: Current PPP data was reported at 425.904 USD bn in 2022. This records an increase from the previous number of 392.111 USD bn for 2021. Sweden SE: GDP: Value Added: Current PPP data is updated yearly, averaging 168.318 USD bn from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 425.904 USD bn in 2022 and a record low of 64.368 USD bn in 1981. Sweden SE: GDP: Value Added: Current PPP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Product, GDP PPP and GDP Deflator: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD.
    The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category 'technicians' to the category 'researchers' in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method.
    In 2011, for personnel data, the institutional coverage of the Government sector was improved.Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.
    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH.
    Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.
    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK.
    From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  6. f

    Results of heterogeneity analysis based on fiscal expenditure level.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Bao Bing (2023). Results of heterogeneity analysis based on fiscal expenditure level. [Dataset]. http://doi.org/10.1371/journal.pone.0289817.t008
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    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bao Bing
    License

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

    Description

    Results of heterogeneity analysis based on fiscal expenditure level.

  7. f

    The influence of different factors in higher education on digital...

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Bao Bing (2023). The influence of different factors in higher education on digital development. [Dataset]. http://doi.org/10.1371/journal.pone.0289817.t005
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    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bao Bing
    License

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

    Description

    The influence of different factors in higher education on digital development.

  8. f

    The impact of higher education on digital development.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Bao Bing (2023). The impact of higher education on digital development. [Dataset]. http://doi.org/10.1371/journal.pone.0289817.t004
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    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bao Bing
    License

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

    Description

    The impact of higher education on digital development.

  9. Sweden SE: Government-Financed GERD: % of GDP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: Government-Financed GERD: % of GDP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/se-governmentfinanced-gerd--of-gdp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1997 - Dec 1, 2021
    Area covered
    Sweden
    Description

    Sweden SE: Government-Financed GERD: % of GDP data was reported at 0.791 % in 2021. This records a decrease from the previous number of 0.821 % for 2019. Sweden SE: Government-Financed GERD: % of GDP data is updated yearly, averaging 0.872 % from Dec 1981 (Median) to 2021, with 20 observations. The data reached an all-time high of 0.985 % in 1989 and a record low of 0.791 % in 2021. Sweden SE: Government-Financed GERD: % of GDP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  10. f

    Results of heterogeneity analysis based on digital governance.

    • plos.figshare.com
    bin
    Updated Aug 9, 2023
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    Bao Bing (2023). Results of heterogeneity analysis based on digital governance. [Dataset]. http://doi.org/10.1371/journal.pone.0289817.t009
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bao Bing
    License

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

    Description

    Results of heterogeneity analysis based on digital governance.

  11. Sweden SE: Gross Domestic Product

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: Gross Domestic Product [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-product-gdp-ppp-and-gdp-deflator-oecd-member-annual/se-gross-domestic-product
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Sweden
    Description

    Sweden SE: Gross Domestic Product data was reported at 6,294,666.000 SEK mn in 2023. This records an increase from the previous number of 5,971,551.000 SEK mn for 2022. Sweden SE: Gross Domestic Product data is updated yearly, averaging 2,598,336.000 SEK mn from Dec 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 6,294,666.000 SEK mn in 2023 and a record low of 656,656.843 SEK mn in 1981. Sweden SE: Gross Domestic Product 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Product, GDP PPP and GDP Deflator: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  12. Netherlands NL: Basic Research Expenditure: % of GDP

    • ceicdata.com
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    CEICdata.com, Netherlands NL: Basic Research Expenditure: % of GDP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-expenditure-on-research-and-development-oecd-member-annual
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1992 - Dec 1, 2019
    Area covered
    Netherlands
    Description

    NL: Basic Research Expenditure: % of GDP data was reported at 0.554 % in 2019. This records an increase from the previous number of 0.551 % for 2018. NL: Basic Research Expenditure: % of GDP data is updated yearly, averaging 0.485 % from Dec 1983 (Median) to 2019, with 18 observations. The data reached an all-time high of 0.564 % in 2014 and a record low of 0.175 % in 1995. NL: Basic Research Expenditure: % of GDP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  13. Sweden SE: GERD: % of GDP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: GERD: % of GDP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/se-gerd--of-gdp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Sweden
    Description

    Sweden SE: GERD: % of GDP data was reported at 3.408 % in 2022. This records an increase from the previous number of 3.402 % for 2021. Sweden SE: GERD: % of GDP data is updated yearly, averaging 3.260 % from Dec 1981 (Median) to 2022, with 31 observations. The data reached an all-time high of 3.874 % in 2001 and a record low of 2.029 % in 1981. Sweden SE: GERD: % of GDP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  14. Sweden SE: Estimated Civil GERD: % Of GDP

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: Estimated Civil GERD: % Of GDP [Dataset]. https://www.ceicdata.com/en/sweden/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/se-estimated-civil-gerd--of-gdp
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1991 - Dec 1, 2013
    Area covered
    Sweden
    Description

    Sweden SE: Estimated Civil GERD: % Of GDP data was reported at 3.152 % in 2013. This records an increase from the previous number of 3.105 % for 2011. Sweden SE: Estimated Civil GERD: % Of GDP data is updated yearly, averaging 3.087 % from Dec 1983 (Median) to 2013, with 16 observations. The data reached an all-time high of 3.673 % in 2001 and a record low of 2.115 % in 1983. Sweden SE: Estimated Civil GERD: % Of GDP 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 Sweden – Table SE.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In Sweden, funds from the ALF agreement (agreement between central government and seven regions on physician education and clinical research) are reported as GOVERD expenditure from 2019, whereas they were previously reported as HERD. The organisation of the police force was changed in 2015 and this has altered the coverage of the R&D personnel figures (in the government sector) received through survey responses. Part of personnel data were reallocated from the category ”technicians” to the category “researchers” in 2013. In 2011 and 2009, the PNP sector decreased due to a new sampling method. In 2011, for personnel data, the institutional coverage of the Government sector was improved.

    Beginning 2007, researchers in the Business enterprise, Government and PNP sectors are now surveyed by occupation; prior to that year, data correspond to university graduates instead of researchers.

    Until 2005, R&D data for Sweden were underestimated: R&D in the Government sector covered central government units only and companies between 10-49 employees were excluded from the coverage. Moreover, prior to 1993 the surveys in the Business Enterprise, Government and Private Non-Profit sectors excluded R&D in the SSH. Also beginning 2005, FTE on R&D in the Higher education sector reflects a change in survey method. Concerning the Government sector, beginning 2005, the data exclude R&D personnel from the County councils, resulting in the personnel data being underestimated.

    From 1997, funding from the Public Research Foundations, previously classified in the PNP sector, is considered as funding from the government sector, due to their re-classification.

    In 1995, some institutions from the PNP sector were reclassified to the Business Enterprise or Government sectors; in the Higher Education sector, capital expenditures are excluded.

    Starting in 2023, a new method for compiling GBARD based entirely on administrative data and R&D survey coefficients has been implemented, resulting in a time series break and an estimated increase of total GBARD by approximately 1.46 billion SEK. From 1998, GBARD series refer to the calendar year (January-December) instead of the period July-June which had been used until 1994. Budget allocations for 1995 and 1996 are estimates based on the period July 1995-December 1996. Also from 1998, funding by Public Research Foundations is excluded from the GBARD data.

  15. Netherlands NL: GERD: % of GDP

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Netherlands NL: GERD: % of GDP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/nl-gerd--of-gdp
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    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Netherlands
    Description

    Netherlands NL: GERD: % of GDP data was reported at 2.296 % in 2022. This records an increase from the previous number of 2.269 % for 2021. Netherlands NL: GERD: % of GDP data is updated yearly, averaging 1.823 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 2.322 % in 2020 and a record low of 1.622 % in 1981. Netherlands NL: GERD: % of GDP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  16. Netherlands NL: GOVERD: % of GDP

    • ceicdata.com
    Updated Mar 3, 2012
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    CEICdata.com (2012). Netherlands NL: GOVERD: % of GDP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/nl-goverd--of-gdp
    Explore at:
    Dataset updated
    Mar 3, 2012
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Netherlands
    Description

    Netherlands NL: GOVERD: % of GDP data was reported at 0.108 % in 2022. This records a decrease from the previous number of 0.124 % for 2021. Netherlands NL: GOVERD: % of GDP data is updated yearly, averaging 0.237 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 0.350 % in 1987 and a record low of 0.108 % in 2022. Netherlands NL: GOVERD: % of GDP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  17. Netherlands NL: HERD: % of GDP

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Netherlands NL: HERD: % of GDP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/nl-herd--of-gdp
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Netherlands
    Description

    Netherlands NL: HERD: % of GDP data was reported at 0.626 % in 2022. This records a decrease from the previous number of 0.646 % for 2021. Netherlands NL: HERD: % of GDP data is updated yearly, averaging 0.577 % from Dec 1981 (Median) to 2022, with 42 observations. The data reached an all-time high of 0.688 % in 2010 and a record low of 0.376 % in 1981. Netherlands NL: HERD: % of GDP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  18. Netherlands NL: Gross Domestic Product: Current PPP

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    CEICdata.com, Netherlands NL: Gross Domestic Product: Current PPP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-product-gdp-ppp-and-gdp-deflator-oecd-member-annual/nl-gross-domestic-product-current-ppp
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Netherlands
    Description

    Netherlands NL: Gross Domestic Product (GDP): Current PPP data was reported at 1,398.445 USD bn in 2023. This records an increase from the previous number of 1,319.462 USD bn for 2022. Netherlands NL: Gross Domestic Product (GDP): Current PPP data is updated yearly, averaging 554.119 USD bn from Dec 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 1,398.445 USD bn in 2023 and a record low of 165.710 USD bn in 1981. Netherlands NL: Gross Domestic Product (GDP): Current PPP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Product, GDP PPP and GDP Deflator: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  19. Netherlands NL: Business-Financed GERD: % of GDP

    • ceicdata.com
    Updated Mar 3, 2012
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    CEICdata.com (2012). Netherlands NL: Business-Financed GERD: % of GDP [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-expenditure-on-research-and-development-oecd-member-annual/nl-businessfinanced-gerd--of-gdp
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    Dataset updated
    Mar 3, 2012
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2009 - Dec 1, 2021
    Area covered
    Netherlands
    Description

    Netherlands NL: Business-Financed GERD: % of GDP data was reported at 1.282 % in 2021. This records a decrease from the previous number of 1.321 % for 2020. Netherlands NL: Business-Financed GERD: % of GDP data is updated yearly, averaging 0.894 % from Dec 1981 (Median) to 2021, with 35 observations. The data reached an all-time high of 1.321 % in 2020 and a record low of 0.751 % in 1981. Netherlands NL: Business-Financed GERD: % of GDP 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Expenditure on Research and Development: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

  20. Netherlands NL: Gross Domestic Product

    • ceicdata.com
    Updated Mar 3, 2012
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    CEICdata.com (2012). Netherlands NL: Gross Domestic Product [Dataset]. https://www.ceicdata.com/en/netherlands/gross-domestic-product-gdp-ppp-and-gdp-deflator-oecd-member-annual/nl-gross-domestic-product
    Explore at:
    Dataset updated
    Mar 3, 2012
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Netherlands
    Description

    Netherlands NL: Gross Domestic Product data was reported at 1,034,086.000 EUR mn in 2023. This records an increase from the previous number of 958,549.000 EUR mn for 2022. Netherlands NL: Gross Domestic Product data is updated yearly, averaging 501,137.000 EUR mn from Dec 1981 (Median) to 2023, with 43 observations. The data reached an all-time high of 1,034,086.000 EUR mn in 2023 and a record low of 185,849.174 EUR mn in 1981. Netherlands NL: Gross Domestic Product 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 Netherlands – Table NL.OECD.MSTI: Gross Domestic Product, GDP PPP and GDP Deflator: OECD Member: Annual.

    In the Netherlands, beginning with the 2013 data, the following methodological improvements led to breaks in series in the business sector (increase), the government sector (decrease), and at the total economy level (increase): better collection and treatment methods for measuring and reporting R&D expenditures related to external R&D personnel (alignment with the 2015 Frascati Manual); reclassification from the government to the business sector of public corporations engaged in market production; and a better follow-up of non-respondents. In 2012, the method for sampling enterprises included in ISIC industries 84 to 99 (community, social, and personal services) as well as the breakdown of personnel data by occupation were modified leading to breaks in series in the business and government sectors. In 2011, the method for producing business enterprise data changed: all observed enterprises are included whereas before 2011, only enterprises with substantial R&D activities (i.e. with a minimum number of R&D personnel) were incorporated. Subsequent changes affected the higher education sector: before 1999, a large number of PhD candidates were formally employed by research institutes (in the government sector) financing their research. From 1999, universities became the formal employer of PhD candidates and their research activities moved from the Government sector to the Higher Education sector. Besides this, the R&D activities of the Universities of Applied Sciences (HBO) were taken into account for the first time. Finally the R&D activities of the Academic hospitals were increasingly underestimated due to the merging of the Academic hospitals and (parts) of the Faculties of Medicine of the universities into so-called University Medical Centers (UMC's). This started in 1998 and meant for instance that staff of the Faculty of Medicine of the university became employees of the UMC. As a result, data on R&D in the field of medical sciences were also revised. As of 2000, newly-recruited researchers on the payroll of the Netherlands Organisation for Scientific Research (NOW), previously included in the Government sector, were included with personnel in the higher education sector. In 1982 and 1990, the methodology of the survey on R&D expenditure changed.

    In 2003, Statistics Netherlands revised the panel of the R&D survey for the Government and PNP sectors, resulting in breaks in series for both. Also beginning in 2003, R&D personnel in the PNP sector are grouped with Government sector R&D personnel.

    In 1994 and 1996 there were major expansions of the scope of the Business Enterprise sector survey; R&D expenditure and personnel data in the latter sector and in the whole economy are thus not comparable with those for the previous years.

    In 1990 and 1999, new methods for calculating GUF are introduced for GBARD series.

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Statista Research Department (2025). Total consumer spending on education in Hungary 2014-2029 [Dataset]. https://www.statista.com/topics/9751/education-in-hungary/
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Total consumer spending on education in Hungary 2014-2029

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Dataset updated
Apr 7, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
Hungary
Description

The total consumer spending on education in Hungary was forecast to continuously increase between 2024 and 2029 by in total 601.3 million U.S. dollars (+31.66 percent). After the ninth consecutive increasing year, the education-related spending is estimated to reach 2.5 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case eduction-related spending, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group tenth As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending on education in countries like Slovakia and Czechia.

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