7 datasets found
  1. k

    OECD better life index

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Dec 9, 2024
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    (2024). OECD better life index [Dataset]. https://datasource.kapsarc.org/explore/dataset/oecd-better-life-index/
    Explore at:
    Dataset updated
    Dec 9, 2024
    Description

    The Better Life Index is an initiative created by the OECD to compare the well-being priorities of people around the world. It consists of 11 social indicators: “housing, income, jobs, community, education, environment, governance, health, life satisfaction, safety, work-life balance” that contribute to well-being in OECD countries. This initiative aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives.

    The 11 indicators in turn are composed of 20 sub-indicators through averaging and normalization. The visualization tool is available here. By selecting a set of weights to the sub-indicators, a user can rank countries according to their weighted sum.

  2. i

    OECD Better Life Index

    • ingridportal.eu
    Updated Sep 6, 2024
    + more versions
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    (2024). OECD Better Life Index [Dataset]. http://doi.org/10.23728/b2share.40b1c00efb414c4199b70bcbaa2575e3
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    Dataset updated
    Sep 6, 2024
    Description

    The OECD's Better Life Index allows users to compare wellbeing across countries based on 11 topics identified as determinants for material living conditions and quality of life: housing, income, jobs, community, education, environment, civic engagement, health, life satisfaction, safety, and work-life balance. Each topic is based on one to three indicators, and the indicators are averaged with equal weights.

  3. OECD Better Life Index 2017

    • kaggle.com
    Updated Dec 12, 2017
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    Joel Jacobsen (2017). OECD Better Life Index 2017 [Dataset]. https://www.kaggle.com/jej13b/oecd-better-life-index/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 12, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Joel Jacobsen
    Description

    Content

    This is the Better Life Index for 2017 gathered from the OECD stats page. Grouping labels have been removed and the row for units of measurment for each column has been removed with the units added to the end of each column label as such: (Percentage: 'as pct'; Ratio: 'as rat'; US Dollar: 'in usd'; Average score: 'as avg score'; Years: 'in years'; Micrograms per cubic metre: 'in ugm3'; Hours: 'in hrs'). Also, although included in the report, Brazil, Russia, and South Africa are non-OECD economies at the time of reporting

    Acknowledgements

    OECD stats page For full index and others please visit: http://stats.oecd.org/Index.aspx?DataSetCode=BLI

  4. H

    Rank-optimal Weighting Procedure and Replication Data for: How to be best in...

    • dataverse.harvard.edu
    Updated Jul 30, 2015
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    Jan Lorenz; Christoph Brauer; Dirk A. Lorenz (2015). Rank-optimal Weighting Procedure and Replication Data for: How to be best in the OECD Better Life Index? [Dataset]. http://doi.org/10.7910/DVN/TUDJHX
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 30, 2015
    Dataset provided by
    Harvard Dataverse
    Authors
    Jan Lorenz; Christoph Brauer; Dirk A. Lorenz
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We provide a matlab script which computes rank-optimal weights for a given data matrix using the free SCIP optimization suite. Rank-optimal weights are weights which are used to make a weighted sum of all columns such that the value in a particular row achieves the highest possible rank. As an example, consider the OECD Better Life Index: We want to know weights for the eleven dimensions of a better life such that a particular countries jumps to the top of the ranking (or as high as possible). Datasets for the OECD Better Life Index 2013 and 2014 are provided to replicate the tables in the paper 'Rank-optimal weighting or "How to be best in the OECD Better Life Index?"'.

  5. SICCRED database

    • data.europa.eu
    unknown
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    Zenodo, SICCRED database [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-8188465?locale=no
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    unknown(951237)Available download formats
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    SICCRED (Societal Impacts of Culture and Creativity Regional European Dashboard) is an interactive platform allowing to consult, for 209 regions in European OECD countries, the impact of employment in cultural and creative sectors (CCS) on the eleven dimensions of well-being considered in the OECD's regional Better Life Index: access to services (share of households with broadband access), civic engagement (voter turnout), community (percentage of people who believe they can rely on a friend in case of need), education (share of population aged 15-64 with educational level 3 or higher), environment (average concentration of particulate matter PM2.5 in the air in µg/m3), health (life expectancy at birth), housing (average number of rooms per person in a dwelling), income (net disposable income per capita in PPS), jobs (employment rate for the population aged 15-64), safety (homicide rate per 100,000 inhabitants) and life satisfaction (on a scale 0-10). In addition, the impact on the average labour productivity (gross added value per employee at constant prices Euro 2015) is added, given that this defines the possibilities for economic performance and material well-being, and on the number of tourist overnight stays (in all tourist accommodations), given the intertwining of the CCS with the tourism sector and its role in the tourist attractiveness of the regions. The estimates are made using Causal Forest, a novel and sophisticated technique that combines machine learning with causal inference. You can access the platform at this URL: https://www.mesoc-project.eu/resources/SICCRED

  6. OECD_Better_Life_Index

    • kaggle.com
    Updated Jul 17, 2020
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    Mathurin Aché (2020). OECD_Better_Life_Index [Dataset]. https://www.kaggle.com/mathurinache/OECD-Better-Life-Index
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 17, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/OECD_Better_Life_Index. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  7. p

    Assessment of OECD Better Life Index by incorporating public opinion

    • dona.pwr.edu.pl
    Updated 2020
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    Gregory Koronakos; Yannis G Smirlis; Dimitrios Georgios Sotiros; Dimitris Despotis (2020). Assessment of OECD Better Life Index by incorporating public opinion [Dataset]. http://doi.org/10.1016/j.seps.2019.03.005
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    Dataset updated
    2020
    Authors
    Gregory Koronakos; Yannis G Smirlis; Dimitrios Georgios Sotiros; Dimitris Despotis
    Description

    Library of Wroclaw University of Science and Technology scientific output (DONA database)

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(2024). OECD better life index [Dataset]. https://datasource.kapsarc.org/explore/dataset/oecd-better-life-index/

OECD better life index

Explore at:
Dataset updated
Dec 9, 2024
Description

The Better Life Index is an initiative created by the OECD to compare the well-being priorities of people around the world. It consists of 11 social indicators: “housing, income, jobs, community, education, environment, governance, health, life satisfaction, safety, work-life balance” that contribute to well-being in OECD countries. This initiative aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives.

The 11 indicators in turn are composed of 20 sub-indicators through averaging and normalization. The visualization tool is available here. By selecting a set of weights to the sub-indicators, a user can rank countries according to their weighted sum.

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