11 datasets found
  1. Human development index of the UK 1990-2023

    • statista.com
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    Statista, Human development index of the UK 1990-2023 [Dataset]. https://www.statista.com/statistics/876249/human-development-index-of-the-uk/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The Human Development Index (HDI) of the United Kingdom has increased from ***** in 1990 to ***** by 2023, indicating that the UK has reached very high levels of human development. HDI is a statistic that combines life-expectancy, education levels and GDP per capita. Countries with scores over 0.800 are considered to have very high levels of development, compared with countries that score lower.

  2. U

    United Kingdom Human development - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 23, 2015
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    Globalen LLC (2015). United Kingdom Human development - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/United-Kingdom/human_development/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Apr 23, 2015
    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, 1980 - Dec 31, 2023
    Area covered
    United Kingdom
    Description

    The United Kingdom: Human Development Index (0 - 1): The latest value from 2023 is 0.946 points, an increase from 0.94 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for the United Kingdom from 1980 to 2023 is 0.877 points. The minimum value, 0.735 points, was reached in 1980 while the maximum of 0.946 points was recorded in 2023.

  3. Countries with the highest Human Development Index value 2023

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Countries with the highest Human Development Index value 2023 [Dataset]. https://www.statista.com/statistics/264630/countries-with-the-highest-human-development-index-ranking/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    ******* had the highest level of the Human Development Index (HDI) worldwide in 2023 with a value of *****. With a score of ****, ****** followed closely behind *********** and had the second-highest level of human development in that year. The rise of the Asian tigers In the decades after the Cold War, the four so-called Asian tigers, South Korea, Singapore, Taiwan, and Hong Kong (now a Special Administrative Region of China) experienced rapid economic growth and increasing human development. At number eight and number 13 of the HDI, respectively, *********************** are the only Asian locations within the top-15 highest HDI scores. Both locations have experienced tremendous economic growth since the 1980’s and 1990’s. In 1980, the per capita GDP of Hong Kong was ***** U.S. dollars, increasing throughout the decades until reaching ****** in 2023, which is expected to continue to increase in the future. Meanwhile, in 1989, Singapore had a GDP of nearly ** billion U.S. dollars, which has risen to nearly *** billion U.S. dollars today and is also expected to keep increasing. Growth of the UAE The United Arab Emirates (UAE) is the only Middle Eastern country besides Israel within the highest ranking HDI scores globally. Within the Middle East and North Africa (MENA) region, the UAE has the third-largest GDP behind Saudi Arabia and Israel, reaching nearly *** billion U.S. dollars by 2022. Per capita, the UAE GDP was around ****** U.S. dollars in 1989, and has nearly doubled to ****** U.S. dollars by 2021. Moreover, this is expected to reach over ****** U.S. dollars by 2029. On top of being a major oil producer, the UAE has become a hub for finance and business and attracts millions of tourists annually.

  4. United Kingdom Human development index

    • knoema.com
    csv, json, sdmx, xls
    Updated Mar 13, 2024
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    Knoema (2024). United Kingdom Human development index [Dataset]. https://knoema.com/atlas/United-Kingdom/topics/World-Rankings/World-Rankings/Human-development-index
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    sdmx, json, csv, xlsAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2009 - 2020
    Area covered
    United Kingdom
    Variables measured
    Human Development Index (1=the most developed)
    Description

    Human development index of United Kingdom decreased by 1.39% from 0.93 score in 2019 to 0.92 score in 2020. Since the 0.32% rise in 2018, human development index fell by 0.97% in 2020. A composite index measuring average achievement in three basic dimensions of human development—a long and healthy life, knowledge and a decent standard of living

  5. Netherlands (Kingdom of the) - Human Development Indicators

    • data.humdata.org
    csv
    Updated Jul 1, 2025
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    UNDP Human Development Reports Office (HDRO) (2025). Netherlands (Kingdom of the) - Human Development Indicators [Dataset]. https://data.humdata.org/dataset/hdro-data-for-netherlands-kingdom-of-the
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    csv(108720), csv(16808), csv(1681)Available download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    United Nations Development Programmehttp://www.undp.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

    The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

    The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

  6. k

    The Human Capital Report

    • datasource.kapsarc.org
    Updated Dec 17, 2024
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    (2024). The Human Capital Report [Dataset]. https://datasource.kapsarc.org/explore/dataset/the-human-capital-report-2016/
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    Dataset updated
    Dec 17, 2024
    Description

    Explore The Human Capital Report dataset for insights into Human Capital Index, Development, and World Rankings. Find data on Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, and more.

    Low income, Upper middle income, Lower middle income, High income, Human Capital Index (Lower Bound), Human Capital Index, Human Capital Index (Upper Bound), Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, Learning-Adjusted Years of School, Fraction of Children Under 5 Not Stunted, Adult Survival Rate, Development, Human Capital, World Rankings

    Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahrain, Bangladesh, Belarus, Belgium, Benin, Bhutan, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Croatia, Cyprus, Denmark, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Latvia, Lebanon, Lesotho, Liberia, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovenia, Solomon Islands, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Sweden, Switzerland, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Vietnam, Yemen, Zambia, Zimbabwe, WORLD

    Follow data.kapsarc.org for timely data to advance energy economics research.

    Last year edition of the World Economic Forum Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.

  7. f

    Calculating the Unhealthy Behaviour Index (example: United Kingdom).

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Fabrizio Ferretti (2023). Calculating the Unhealthy Behaviour Index (example: United Kingdom). [Dataset]. http://doi.org/10.1371/journal.pone.0141834.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Fabrizio Ferretti
    License

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

    Area covered
    United Kingdom
    Description

    agm (ECIX, NBDX) = geometric mean of ECIX and NBDX.Calculating the Unhealthy Behaviour Index (example: United Kingdom).

  8. R

    Royaume-Uni Human development - données, graphique | TheGlobalEconomy.com

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Jun 19, 2025
    + more versions
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    Globalen LLC (2025). Royaume-Uni Human development - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/United-Kingdom/human_development/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jun 19, 2025
    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, 1980 - Dec 31, 2023
    Area covered
    Royaume-Uni
    Description

    Royaume-Uni: Human Development Index (0 - 1): Pour cet indicateur, The United Nations fournit des données pour la Royaume-Uni de 1980 à 2023. La valeur moyenne pour Royaume-Uni pendant cette période était de 0.877 points avec un minimum de 0.735 points en 1980 et un maximum de 0.946 points en 2023.

  9. S

    Democracy and English Indicators

    • scidb.cn
    Updated Apr 12, 2024
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    Abdullah AlKhuraibet (2024). Democracy and English Indicators [Dataset]. http://doi.org/10.57760/sciencedb.16236
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Science Data Bank
    Authors
    Abdullah AlKhuraibet
    License

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

    Description

    The data collected aim to test whether English proficiency levels in a country are positively associated with higher democratic values in that country. English proficiency is sourced from statistics by Education First’s "EF English Proficiency Index" which covers countries' scores for the calendar year 2022 and 2021. The EF English Proficiency Index ranks 111 countries in five different categories based on their English proficiency scores that were calculated from the test results of 2.1 million adults. While democratic values are operationalized through the liberal democracy index from the V-Dem Institute annual report for 2022 and 2021. Additionally, the data is utilized to test whether English language media consumption acts as a mediating variable between English proficiency and democracy levels in a country, while also looking at other possible regression variables. In order to conduct the linear regression analyses for the dats, the software that was utilized for this research was Microsoft Excel.The raw data set consists of 90 nation states in two years from 2022 and 2021. The raw data is utilized for two separate data sets the first of which is democracy indicators which has the regression variables of EPI, HDI, and GDP. For this table set there is a total of 360 data entries. HDI scores are a statistical summary measure that is developed by the United Nations Development Programme (UNDP) which measures the levels of human development in 190 countries. The data for nominal gross domestic product scores (GDP) are sourced from the World Bank. Having strong regression variables that have been proven to have a positive link with democracy in the data analysis such as GDP and HDI, would allow the regression analysis to identify whether there is a true relationship between English proficiency and democracy levels in a country. While the second data set has a total of 720 data entries and aims to identify English proficiency indicators the data set has 7 various regression variables which include, LDI scores, Years of Mandatory English Education, Heads of States Publicly speaking English, GDP PPP (2021USD), Common Wealth, BBC web traffic and CNN web traffic. The data for years of mandatory English education is sourced from research at the University of Winnipeg and is coded in the data set based on the number of years a country has English as a mandatory subject. The range of this data is from 0 to 13 years of English being mandatory. It is important to note that this data only concerns public schools and does not extend to the private school systems in each country. The data for heads of state publicly speaking English was done through a video data analysis of all heads of state. The data was only used for heads of state who had been in their position for at least a year to ensure the accuracy of the data collected; with a year in power, for heads of state that had not been in their position for a year, data was taken from the previous head of state. This data only takes into account speeches and interviews that were conducted during their incumbency. The data for each country’s GDP PPP scores are sourced from the World Bank, which was last updated for a majority of the countries in 2021 and is tied to the US dollar. Data for the commonwealth will only include members of the commonwealth that have been historically colonized by the United Kingdom. Any country that falls under that category will be coded as 1 and any country that does not will be coded as 0. For BBC and CNN web traffic that data is sourced by using tools in Semrush which provide a rough estimate of how much web traffic each news site generates in each country. Which will be utilized to identify the average number of web traffic for BBC News and CNN World News for both the 2021 and 2022 calendar. The traffic for each country will also be measured per capita, per 10 thousand people to ensure that the population density of a country does not influence the results. The population of each country for both 2021 and 2022 is sourced from the United Nations revision of World Population Prospects of both 2021 and 2022 respectively.

  10. National Child Development Study: Sweeps 3-9, 1974-2013, Townsend Index...

    • beta.ukdataservice.ac.uk
    Updated 2024
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    Institute of Education University of London (2024). National Child Development Study: Sweeps 3-9, 1974-2013, Townsend Index (LSOA) Linked Data: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8085-1
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Institute of Education University of London
    Description

    The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

    The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

    Survey and Biomeasures Data (GN 33004):

    To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

    Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

    From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

    Linked Geographical Data (GN 33497):
    A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

    Linked Administrative Data (GN 33396):
    A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

    Additional Sub-Studies (GN 33562):
    In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.
    The National Child Development Study: Sweeps 3-9, 1974-2013, Townsend Index (LSOA) Linked Data: Secure Access study includes the Towsend Index of Deprivation for Sweeps 3-9 of the NCDS, as well as the variables needed to compose these.

    International Data Access Network (IDAN)
    These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

  11. Europe Sustainable Development Report 2025 (with indicators)

    • sdg-transformation-center-sdsn.hub.arcgis.com
    Updated Jan 16, 2025
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    Sustainable Development Solutions Network (2025). Europe Sustainable Development Report 2025 (with indicators) [Dataset]. https://sdg-transformation-center-sdsn.hub.arcgis.com/datasets/europe-sustainable-development-report-2025-with-indicators
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    Sustainable Development Solutions Networkhttps://www.unsdsn.org/
    Area covered
    Description

    In a context where the new EU leadership – European Commission, Parliament and Council of the EU – has recently been established for the period 2024-2029, this sixth edition of the European Sustainable Development Report (ESDR) presents an updated narrative report and database to support the implementation of the Sustainable Development Goals (SDGs) and 2030 Agenda in Europe. Since 2019, the ESDR has presented the SDG Index and Dashboards for Europe and provided an annual overview of the EU’s progress towards the SDGs. It builds on the methodology of the global SDG Index which has been peer-reviewed in 2019 by the European Commission Joint Research Centre (JRC). This year’s edition covers 41 individual European countries: 27 EU member states, 9 Candidate countries, 4 countries in the European Free Trade Agreement (EFTA) and the United-Kingdom. The report and SDG Index database highlight areas of success as well as opportunities for further improvement and uses the data to compare the progress of European sub-regions. The data and findings build on several rounds of consultations conducted since 2019 with scientists, experts and practitioners from across Europe, made possible in large part through the long-standing cooperation between the UN Sustainable Development Solutions Network (SDSN) and the European Economic and Social Committee (EESC).The new leadership of the EU has reaffirmed its commitment to implementing the SDGs and 2030 Agenda on several occasions in the second half of 2024. Although the SDGs were not mentioned explicitly in the Political Guidelines of the current President of the European Commission (European Commission, 2024c), the mission letters shared with all the Commissioners in September 2024 (European Commission, 2024a) specify that “As we head to 2030, each Member of the college will ensure the delivery of the EU targets and objectives defined for that year, as well as of the United Nations Sustainable Development Goals within their policy areas. The college as a whole will be responsible for the implementation of the Goals.” The previous European Parliament has issued several SDG resolutions (European Parliament, 2019) and established an informal SDG alliance. The European Council Strategic Agenda 2024-2029 further emphasizes:“The European Union shall continue to be the strongest supporter of the international legal order, steadfastly upholding the United Nations and the principles enshrined in the UN Charter. In particular, the European Union will pursue efforts to promote global peace, justice and stability, as well as democracy, universal human rights and the achievement of the Sustainable Development Goals in all international fora. We will strive for a reformed multilateral system, making it more inclusive and more effective.”The SDSN has argued for many years that the SDGs are largely an investment agenda notably into human capital (education, health, social protection, others) and physical infrastructure (renewable energy and grids, access to technology, others) (Sachs et al., 2019). The Draghi report (European Commission, 2024b) presented in September 2024 also emphasizes that the long-term prosperity and competitiveness of Europe must build on an ambitious investment plan and calls for additional annual investment of €800 billion EUR notably to advance the green and digital transformations. At the same time, budget pressures and political divides are mounting, and such a massive scale-up in investments can only be achieved via collective action and collaboration across EU member states. At the global level, an EU member state – Spain – will host in June 2024 the 4th International Conference on Sustainable Development (FFD4). This conference represents an important milestone to advance the reform of the Global Financial Architecture (GFA) and to unlock further private and public capital to support the achievements of the SDGs. Globally, 3.3 billion people (or around 40% of the world’s population) live in countries that spend more annually on interest payments than on health and education (UNCTAD, 2024). Debt burden and servicing also represents a major barrier to advance climate mitigation and adaptation in many developing countries.Overall, and as argued in last year’s ESDR2023/24 (Lafortune et al., 2024), peace and global cooperation are the fundamental conditions to achieve sustainable development, in Europe and globally. In a multipolar world, characterized by rising geopolitical tensions across superpowers, the EU and its member states should leverage all diplomatic channels and build coalitions with countries and alliances that aim to promote peace and sustainable development. Previous editions of these reports have introduced the concept of SDG/Green Deal Diplomacy (SDSN & IEEP, 2020). The UN Charter (1945) but also the Universal Declaration of Human Rights (1948) and the SDGs remain crucial instruments that can help promote a global dialogue between the EU and the rest of the multipolar world.As such, the 10 recommendations made in last years’ ESDR2023/24 to “Achieve the Sustainable Development Goals in a Fragmented and Multipolar World” endorsed by 200+ scientists, experts and practitioners from all over Europe remain particularly relevant (Lafortune et al., 2024). The new EU leadership is the last one before reaching the 2030 landmark year. The next Multiannual Financial Framework (MFF), for 2028–2035, must integrate, maintain, and even increase the total level of financing to sufficiently fund the required transformation deep into the next decade. This EU leadership will also be in charge of negotiating the next set of goals and global agenda for sustainable development that will continue the SDGs. Similar to the role played by the EU before the adoption of the SDGs, the EU and its member states should work with the rest of the global community to raise the level of ambition and implementation mechanisms, including a reformed GFA, for achieving sustainable development by 2030 and beyond as part of an ambitious post-2030 Agenda. The preparation of an ambitious second EU Voluntary Review presented ahead of the next SDG Summit at Heads of States level in 2027, building on extensive consultation with civil society, would send a strong signal to the international community about the EU’s commitment to advance long-term sustainable development at home and globally by 2030 and beyond.

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    Learn how you can add new datasets to our index.

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Statista, Human development index of the UK 1990-2023 [Dataset]. https://www.statista.com/statistics/876249/human-development-index-of-the-uk/
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Human development index of the UK 1990-2023

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom
Description

The Human Development Index (HDI) of the United Kingdom has increased from ***** in 1990 to ***** by 2023, indicating that the UK has reached very high levels of human development. HDI is a statistic that combines life-expectancy, education levels and GDP per capita. Countries with scores over 0.800 are considered to have very high levels of development, compared with countries that score lower.

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