100+ datasets found
  1. C

    China CN: New Kinetic Energy Index of Economic Development: Economic...

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China CN: New Kinetic Energy Index of Economic Development: Economic Vitality [Dataset]. https://www.ceicdata.com/en/china/new-kinetic-energy-index-of-economic-development/cn-new-kinetic-energy-index-of-economic-development-economic-vitality
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    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, 2014 - Dec 1, 2022
    Area covered
    China
    Description

    China New Kinetic Energy Index of Economic Development: Economic Vitality data was reported at 402.600 2014=100 in 2022. This records an increase from the previous number of 388.800 2014=100 for 2021. China New Kinetic Energy Index of Economic Development: Economic Vitality data is updated yearly, averaging 233.800 2014=100 from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 402.600 2014=100 in 2022 and a record low of 100.000 2014=100 in 2014. China New Kinetic Energy Index of Economic Development: Economic Vitality data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

  2. G

    Uneven economic development by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Sep 5, 2024
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    Globalen LLC (2024). Uneven economic development by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/uneven_economic_development_index/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    World
    Description

    The average for 2024 based on 175 countries was 5.3 index points. The highest value was in the Central African Republic: 9.3 index points and the lowest value was in Finland: 1.7 index points. The indicator is available from 2007 to 2024. Below is a chart for all countries where data are available.

  3. Freedom Economic Index

    • kaggle.com
    zip
    Updated Jun 1, 2024
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    mlippo (2024). Freedom Economic Index [Dataset]. https://www.kaggle.com/datasets/mlippo/freedom-economic-index
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    zip(12723 bytes)Available download formats
    Dataset updated
    Jun 1, 2024
    Authors
    mlippo
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The 12 aspects of economic freedom measured in the Index are grouped into four broad pillars:

    Rule of law (property rights, judicial effectiveness, and government integrity);

    Government size (tax burden, government spending, and fiscal health);

    Regulatory efficiency (business freedom, labor freedom, and monetary freedom); and

    Market openness (trade freedom, investment freedom, and financial freedom).

    Rule of Law

    Property Rights. In a fully functioning market economy, the ability to accumulate private property and wealth is a central motivating force for both workers and investors. Private property rights and an effective rule of law to protect them are vital features of any such economy. Secure property rights give citizens the confidence to undertake entrepreneurial activity, save their income, and make long-term plans because they know that their income, savings, and property (both real and intellectual) are safe from unfair expropriation or theft.

    Property rights are a primary factor in the accumulation of capital for production and investment. Secure titling is key to unlocking the wealth embodied in real estate, making natural resources available for economic use, and providing collateral for investment financing. It is also by extending and protecting property rights that societies avoid the “tragedy of the commons”—the phenomenon that leads to the degradation and exploitation of property that is held communally and for which no one is accountable.

    A key aspect of the protection of property rights is the enforcement of contracts. The voluntary undertaking of contractual obligations is the foundation of the market system and the basis for economic specialization, gains from commercial exchange, and trade among nations. Evenhanded government enforcement of private contracts is crucial to ensuring equity and integrity in the marketplace.

    Judicial Effectiveness. Effective legal frameworks protect the rights of all citizens against infringement of the law by others, including infringement by governments and powerful parties. Judicial effectiveness requires efficient and fair judicial systems to ensure that laws are fully respected and appropriate legal actions are taken against violations.

    Especially for developing countries, judicial effectiveness may be the area of economic freedom that is most important in laying the foundations**************************************** for economic growth. In advanced economies, deviations from judicial effectiveness may be the first signs of serious problems that will lead to economic decline.

    There is abundant evidence from countries around the world that an honest, fair, and effective judicial system is a critical factor in empowering individuals, ending discrimination, and enhancing competition. In the never-ending struggle to improve the human condition and achieve greater prosperity, an institutional commitment to the preservation and advancement of judicial effectiveness is indispensable.

    Government Integrity. In a world characterized by social and cultural diversity, practices that are regarded as corrupt in one place may simply reflect traditional interactions in another. For example, small informal payments to service providers or even government officials may be regarded as a normal means of compensation, a “tip” for unusually good service, or a corrupt form of extortion.

    While such practices may indeed constrain an individual’s economic freedom, their impact on the economic system as a whole is likely to be modest. Of far greater concern is the systemic corruption of government institutions by such practices as bribery, nepotism, cronyism, patronage, embezzlement, and graft. Though not all of these practices are crimes in every society or circumstance, they all erode the integrity of government wherever they are found. By allowing some individuals or special interests to gain government benefits at the expense of others, they are grossly incompatible with the principles of fair and equal treatment that are necessary for an economically free society.

    There is a direct relationship between the extent of government intervention in economic activity and the prevalence of corruption. In particular, excessive and redundant government regulations provide opportunities for bribery and graft, which in turn are detrimental to economic growth and development. In addition, government regulations or restrictions in one area may create informal or black markets in another. For example, by imposing such burdensome barriers to the conduct of business as including regulatory red tape and high transaction costs, a government can incentivize bribery and encourage illegitimate and secret interactions that compromise the transparency that is essential to the efficient functioning of a free market.

    Government Size

    Tax Burden. All govern...

  4. D

    Dominican Republic Uneven economic development - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 25, 2019
    + more versions
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    Globalen LLC (2019). Dominican Republic Uneven economic development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Dominican-Republic/uneven_economic_development_index/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    May 25, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    Dominican Republic
    Description

    Dominican Republic: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 4.6 index points, a decline from 4.7 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Dominican Republic from 2007 to 2024 is 6.29 index points. The minimum value, 4.6 index points, was reached in 2024 while the maximum of 8.1 index points was recorded in 2007.

  5. C

    China CN: New Kinetic Energy Index of Economic Development: Transformation...

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). China CN: New Kinetic Energy Index of Economic Development: Transformation and Upgrading [Dataset]. https://www.ceicdata.com/en/china/new-kinetic-energy-index-of-economic-development/cn-new-kinetic-energy-index-of-economic-development-transformation-and-upgrading
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    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, 2014 - Dec 1, 2022
    Area covered
    China
    Description

    China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data was reported at 162.800 2014=100 in 2022. This records an increase from the previous number of 160.900 2014=100 for 2021. China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data is updated yearly, averaging 144.100 2014=100 from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 162.800 2014=100 in 2022 and a record low of 100.000 2014=100 in 2014. China New Kinetic Energy Index of Economic Development: Transformation and Upgrading data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

  6. C

    China CN: New Kinetic Energy Index of Economic Development: Growth Rate:...

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: New Kinetic Energy Index of Economic Development: Growth Rate: Innovation Driven [Dataset]. https://www.ceicdata.com/en/china/new-kinetic-energy-index-of-economic-development/cn-new-kinetic-energy-index-of-economic-development-growth-rate-innovation-driven
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2015 - Dec 1, 2022
    Area covered
    China
    Description

    China New Kinetic Energy Index of Economic Development: Growth Rate: Innovation Driven data was reported at 15.500 % in 2022. This records a decrease from the previous number of 19.500 % for 2021. China New Kinetic Energy Index of Economic Development: Growth Rate: Innovation Driven data is updated yearly, averaging 15.650 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 21.600 % in 2018 and a record low of 11.200 % in 2016. China New Kinetic Energy Index of Economic Development: Growth Rate: Innovation Driven data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

  7. T

    Turkey Uneven economic development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Oct 15, 2019
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    Globalen LLC (2019). Turkey Uneven economic development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Turkey/uneven_economic_development_index/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Oct 15, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    Turkey
    Description

    Turkey: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 7.1 index points, an increase from 6.6 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Turkey from 2007 to 2024 is 6.5 index points. The minimum value, 4.6 index points, was reached in 2022 while the maximum of 8.7 index points was recorded in 2007.

  8. C

    Chad Uneven economic development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Oct 11, 2019
    + more versions
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    Globalen LLC (2019). Chad Uneven economic development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Chad/uneven_economic_development_index/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Oct 11, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    Chad
    Description

    Chad: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 8.4 index points, a decline from 8.7 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Chad from 2007 to 2024 is 8.96 index points. The minimum value, 8.4 index points, was reached in 2024 while the maximum of 9.3 index points was recorded in 2009.

  9. 2024 Index of Economic Freedom

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). 2024 Index of Economic Freedom [Dataset]. https://www.statista.com/statistics/256965/worldwide-index-of-economic-freedom/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

  10. f

    S1 Data -

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jan 13, 2025
    + more versions
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    Guanyu Hou; Chengji Sun; Zishun Lu (2025). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0302508.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Guanyu Hou; Chengji Sun; Zishun Lu
    License

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

    Description

    The nexus between the business environment and high-quality economic development is pivotal for fostering sustainable growth. This study delves into their interrelationship, recognizing its profound practical significance. We have developed a comprehensive index system to evaluate high-quality economic development, encompassing four key dimensions: green development quality, robust economic growth, innovation dynamics, and equitable societal benefits. Concurrently, a business environment index system has been constructed, capturing the nuances of government functionality, social context, and market dynamics. Employing system theory and a configurational approach, this research utilizes the fsQCA method to decode the intricate mechanisms, dynamic pathways, and synergistic interactions among diverse elements within the business environment that influence high-quality economic development. The empirical findings underscore the substantial impact of the business environment on high-quality economic development, highlighting two primary catalyst pathways: the "Rule of Law-Government Efficiency" trajectory and the "Market-Led-Credit Environment" route. These pathways reveal that government efficiency, credit accessibility, legal frameworks, market fairness, and openness are instrumental in driving high-quality economic development. Conversely, inefficiencies in the market mechanism and governmental roles often result in suboptimal development trajectories. The study advocates for policy formulations that recognize and leverage regional distinctiveness, optimizing local resources and strengths to spur high-quality economic development tailored to each region’s unique context.

  11. C

    China CN: New Kinetic Energy Index of Economic Development: Contribution...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality [Dataset]. https://www.ceicdata.com/en/china/new-kinetic-energy-index-of-economic-development/cn-new-kinetic-energy-index-of-economic-development-contribution-rate-economic-vitality
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2015 - Dec 1, 2022
    Area covered
    China
    Description

    China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data was reported at 1.600 % in 2022. This records a decrease from the previous number of 8.000 % for 2021. China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data is updated yearly, averaging 8.200 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 27.100 % in 2017 and a record low of 1.600 % in 2022. China New Kinetic Energy Index of Economic Development: Contribution Rate: Economic Vitality data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

  12. Weekly Economic Index in the U.S. 2021-2025

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Weekly Economic Index in the U.S. 2021-2025 [Dataset]. https://www.statista.com/statistics/1332099/us-weekly-economic-index/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Nov 2025
    Area covered
    United States
    Description

    The Weekly Economic Index (WEI) of the United States exhibited notable fluctuations between January 2021 and November 2025. Throughout this period, the WEI reached its lowest point at negative **** percent in the third week of February 2021, while achieving its peak at ***** percent in the first week of May 2021. From 2021 through the initial half of 2023, the WEI demonstrated a gradual decline, interspersed with occasional minor upturns. This phase was succeeded by a period characterized by a modest overall increase, culminating in a value of **** percent as of November 1, 2025. What is the Weekly Economic Index? The Weekly Economic Index (WEI) is an index of real economic activity using high-frequency data, used to signal the state of the U.S. economy. It is an index of ** daily and weekly indicators, scaled to align with the four-quarter GDP growth rate. The indicators reflected in the WEI cover consumer behavior, the labor market, and production.

  13. b

    Uneven Economic Development, Economic Indicator (Fragile state Index) 2018

    • bonndata.uni-bonn.de
    • daten.zef.de
    • +1more
    csv, jpeg, pdf, png +2
    Updated Sep 18, 2023
    + more versions
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    Amit Kumar Basukala; Amit Kumar Basukala (2023). Uneven Economic Development, Economic Indicator (Fragile state Index) 2018 [Dataset]. http://doi.org/10.60507/FK2/7PNA1X
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    pdf(71159), xml(30232), png(6049), jpeg(121443), txt(323), csv(4930)Available download formats
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    bonndata
    Authors
    Amit Kumar Basukala; Amit Kumar Basukala
    License

    https://bonndata.uni-bonn.de/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.60507/FK2/7PNA1Xhttps://bonndata.uni-bonn.de/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.60507/FK2/7PNA1X

    Time period covered
    Jan 1, 2018 - Dec 31, 2018
    Area covered
    World
    Description

    The Uneven Economic Development Indicator considers inequality within the economy, irrespective of the actual performance of an economy. For example, the Indicator looks at structural inequality that is based on group (such as racial, ethnic, religious, or other identity group) or based on education, economic status, or region (such as urban-rural divide). The Indicator considers not only actual inequality, but also perceptions of inequality, recognizing that perceptions of economic inequality can fuel grievance as much as real inequality, and can reinforce communal tensions or nationalistic rhetoric. Further to measuring economic inequality, the Indicator also takes into account the opportunities for groups to improve their economic status, such as through access to employment, education, or job training such that even if there is economic inequality present, to what degree it is structural and reinforcing. Quality/Lineage: The data is downloaded from the above link http://fundforpeace.org/fsi/indicators/e2/ and manipulated only table format keeping the value same for all the countries as the requirement of the Strive database. The map is created based on the values of the country using rworldmap package in R.

  14. The Global Competitiveness Index dataset

    • kaggle.com
    zip
    Updated Jan 26, 2017
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    World Economic Forum (2017). The Global Competitiveness Index dataset [Dataset]. https://www.kaggle.com/weforum/global-competitiveness
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    zip(5896862 bytes)Available download formats
    Dataset updated
    Jan 26, 2017
    Dataset authored and provided by
    World Economic Forumhttp://www.weforum.org/
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Context

    Launched in 1979, the World Economic Forum's Global Competitiveness Report is the longest-running, most comprehensive assessment of the drivers of economic development. The 2016-2017 edition covers 138 economies. Please contact gcp@weforum.org for any question.

    Go here for more information about the Global Competitiveness Report and Index.

    Content

    The data contains all the components of the Global Competitiveness Index, that's 170 time series, including 113 individual indicators. The file contains the following tabs:

    • About this Dataset: all the legal stuff and important disclaimers
    • Data: contains the data organised as follows: Entities (economies and regions) are listed across. For each data point, the value, rank, period, source, source date, and note (if any) are reported. The dataset includes the GCI editions 2007-2008 to 2016-2017. Editions are "stacked" vertically, starting with the most recent. Earlier editions are not included due to change in the methodology.
    • Entities: list of all entities, i.e. economies, with ISO codes and groups to which they belong (i.e. World Bank's income group, IMF's regional classification, and Forum's own regional classification)
    • Meta data: list all series with reference ID, descriptions, units, placement in the index, etc. Detailed methodology
  15. e

    Technological and Economic Development of Economy - ^'s h-index

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
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    (2025). Technological and Economic Development of Economy - ^'s h-index [Dataset]. https://exaly.com/journal/26574/technological-and-economic-development-of-economy/h-index
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    The graph shows the changes in the h-index of ^ and its corresponding percentile for the sake of comparison with the entire literature. H-index is a common scientometric index, which is equal to h if the journal has published at least h papers having at least h citations.

  16. e

    Economic Development and Cultural Change - g-index

    • exaly.com
    csv, json
    Updated Nov 1, 2025
    + more versions
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    (2025). Economic Development and Cultural Change - g-index [Dataset]. https://exaly.com/journal/16385/economic-development-and-cultural-change/g-index
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

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

    Description

    The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

  17. Global Development Analysis (2000-2020)

    • kaggle.com
    zip
    Updated May 11, 2025
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    Michael Matta (2025). Global Development Analysis (2000-2020) [Dataset]. https://www.kaggle.com/datasets/michaelmatta0/global-development-indicators-2000-2020
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    zip(1311638 bytes)Available download formats
    Dataset updated
    May 11, 2025
    Authors
    Michael Matta
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Global Economic, Environmental, Health, and Social indicators Ready for Analysis

    📝 Description

    This comprehensive dataset merges global economic, environmental, technological, and human development indicators from 2000 to 2020. Sourced and transformed from multiple public datasets via Google BigQuery, it is designed for advanced exploratory data analysis, machine learning, policy modeling, and sustainability research.

    Curated by combining and transforming data from the Google BigQuery Public Data program, this dataset offers a harmonized view of global development across more than 40 key indicators spanning over two decades (2000–2020). It supports research across multiple domains such as:

    • Economic Growth
    • Climate Sustainability
    • Digital Transformation
    • Public Health
    • Human Development
    • Resilience and Governance

    for formulas and more details check: https://github.com/Michael-Matta1/datasets-collection/tree/main/Global%20Development

    📅 Temporal Coverage

    • Years: 2000–2020
    • Includes calculated features:

      • years_since_2000
      • years_since_century
      • is_pandemic_period (binary indicator for pandemic periods)

    🌍 Geographic Scope

    • Countries: Global (identified by ISO country codes)
    • Regions and Income Groups included for aggregated analysis

    📊 Key Feature Groups

    • Economic Indicators:

      • GDP (USD), GDP per capita
      • FDI, inflation, unemployment, economic growth index
    • Environmental Indicators:

      • CO₂ emissions, renewable energy use
      • Forest area, green transition score, CO₂ intensity
    • Technology & Connectivity:

      • Internet usage, mobile subscriptions
      • Digital readiness score, digital connectivity index
    • Health & Education:

      • Life expectancy, child mortality
      • School enrollment, healthcare capacity, health development ratio
    • Governance & Resilience:

      • Governance quality, global resilience
      • Human development composite, ecological preservation

    🔍 Use Cases

    • Trend analysis over time
    • Country-level comparisons
    • Modeling development outcomes
    • Predictive analytics on sustainability or human development
    • Correlation and clustering across multiple indicators

    ⚠️ Note on Missing Region and Income Group Data

    Approximately 18% of the entries in the region and income_group columns are null. This is primarily due to the inclusion of aggregate regions (e.g., Arab World, East Asia & Pacific, Africa Eastern and Southern) and non-country classifications (e.g., Early-demographic dividend, Central Europe and the Baltics). These entries represent groups of countries with diverse income levels and geographic characteristics, making it inappropriate or misleading to assign a single region or income classification. In some cases, the data source may have intentionally left these fields blank to avoid oversimplification or due to a lack of standardized classification.

    📋 Column Descriptions

    • year: Year of the recorded data, representing a time series for each country.
    • country_code: Unique code assigned to each country (ISO-3166 standard).
    • country_name: Name of the country corresponding to the data.
    • region: Geographical region of the country (e.g., Africa, Asia, Europe).
    • income_group: Income classification based on Gross National Income (GNI) per capita (low, lower-middle, upper-middle, high income).
    • currency_unit: Currency used in the country (e.g., USD, EUR).
    • gdp_usd: Gross Domestic Product (GDP) in USD (millions or billions).
    • population: Total population of the country for the given year.
    • gdp_per_capita: GDP divided by population (economic output per person).
    • inflation_rate: Annual rate of inflation (price level rise).
    • unemployment_rate: Percentage of the labor force unemployed but seeking employment.
    • fdi_pct_gdp: Foreign Direct Investment (FDI) as a percentage of GDP.
    • co2_emissions_kt: Total CO₂ emissions in kilotons (kt).
    • energy_use_per_capita: Energy consumption per person (kWh).
    • renewable_energy_pct: Percentage of energy consumption from renewable sources.
    • forest_area_pct: Percentage of total land area covered by forests.
    • electricity_access_pct: Percentage of the population with access to electricity.
    • life_expectancy: Average life expectancy at birth.
    • child_mortality: Deaths of children under 5 per 1,000 live births.
    • school_enrollment_secondary: Percentage of population enrolled in secondary education.
    • health_expenditure_pct_gdp: Percentage of GDP spent on healthcare.
    • hospital_beds_per_1000...
  18. m

    Dataset of Financial Independence, Economic Growth, Human Development Index,...

    • data.mendeley.com
    Updated Jun 14, 2024
    + more versions
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    M.Harry Mulya Zein (2024). Dataset of Financial Independence, Economic Growth, Human Development Index, Poverty [Dataset]. http://doi.org/10.17632/gg4hb2yx3m.1
    Explore at:
    Dataset updated
    Jun 14, 2024
    Authors
    M.Harry Mulya Zein
    License

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

    Description

    This data is secondary data used to measure the effect of financial independence, economic growth and human development index on poverty. The data is calculated using SPSS.

  19. Data from: Socio-Economic Development of the Country as a Predictor of Its...

    • figshare.com
    pdf
    Updated Nov 21, 2024
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    Igor Britchenko (2024). Socio-Economic Development of the Country as a Predictor of Its National Security [Dataset]. http://doi.org/10.6084/m9.figshare.27886209.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 21, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Igor Britchenko
    License

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

    Description

    Purpose: The article examines specific factors of socio-economic development in the context of national security. The purpose of the current work is to identify the connections between selected indicators of socio-economic development and the level of national security, in the context of improving the quality of life for all citizens. Design/Methodology/Approach: The process of globalization has caused changes that manifest in various spheres of human life. One of the main positive aspects of the globalization process, which affects the quality of human life, is regional development. This can be measured using selected socio-economic indicators. Findings: Regional development is not the only factor that affects the quality of human life. Negative aspects of the socio-economic development process, such as illegal migration and the overall increase in crime, have made the issue of national security extremely relevant for every country. Practical Implications: One of the numerous aspects of national security that negatively affects the quality of human life, as well as the overall perception of the globalization process, is migration and the crimes committed by foreigners in certain countries. Originality/Value: Since the goal of socio-economic development is to improve the quality of human life, it is also necessary in this context to address the security issues of each citizen in a given country, which, overall, is a component of national security.

  20. M

    Malaysia Uneven economic development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 30, 2019
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    Globalen LLC (2019). Malaysia Uneven economic development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Malaysia/uneven_economic_development_index/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    May 30, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2007 - Dec 31, 2024
    Area covered
    Malaysia
    Description

    Malaysia: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 3.8 index points, an increase from 3.5 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Malaysia from 2007 to 2024 is 5.35 index points. The minimum value, 3.5 index points, was reached in 2023 while the maximum of 7 index points was recorded in 2010.

Share
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Click to copy link
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Close
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CEICdata.com (2019). China CN: New Kinetic Energy Index of Economic Development: Economic Vitality [Dataset]. https://www.ceicdata.com/en/china/new-kinetic-energy-index-of-economic-development/cn-new-kinetic-energy-index-of-economic-development-economic-vitality

China CN: New Kinetic Energy Index of Economic Development: Economic Vitality

Explore at:
Dataset updated
Dec 15, 2019
Dataset provided by
CEICdata.com
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, 2014 - Dec 1, 2022
Area covered
China
Description

China New Kinetic Energy Index of Economic Development: Economic Vitality data was reported at 402.600 2014=100 in 2022. This records an increase from the previous number of 388.800 2014=100 for 2021. China New Kinetic Energy Index of Economic Development: Economic Vitality data is updated yearly, averaging 233.800 2014=100 from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 402.600 2014=100 in 2022 and a record low of 100.000 2014=100 in 2014. China New Kinetic Energy Index of Economic Development: Economic Vitality data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OF: New Kinetic Energy Index of Economic Development.

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