In 2021, Massachusetts, Connecticut, and Minnesota had the highest Human Development Index (HDI) score of any other states at ****. Many more states had a score just below this at ****. Mississippi had the lowest HDI score at ****, and the U.S. average was ****.

The USA: Human Development Index (0 - 1): The latest value from 2023 is 0.938 points, an increase from 0.927 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for the USA from 1980 to 2023 is 0.898 points. The minimum value, 0.825 points, was reached in 1980 while the maximum of 0.938 points was recorded in 2023.

******* 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.

The average for 2023 based on 184 countries was 0.744 points. The highest value was in Iceland: 0.972 points and the lowest value was in South Africa: 0.388 points. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

Ranked bottom and top five states, HLI, 2016.

The Human development index (HDI) for European countries in 2022 shows that although all of the countries in this statistic have scores which imply high levels of development, ************* score of ***** was the highest in this year. The HDI is a statistic that combines life-expectancy, education levels and GDP per capita. Countries with scores over ***** are considered to have very high levels of development, compared with countries that score lower.

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'.

1) the Human Development Index (HDI - the Human Development Index) to measure the level of the member states of the United Nations economic and social Development indicators, is the result of the GNP Index challenge to traditional;2) this data comes from the United Nations development programme (UNDP) statistical data;3) from the dynamic human development index to reflect the development status of human, reveals the priority to the development of a country, the development policies for countries all over the world especially in developing countries have provided the certain basis, thereby helping to excavate a country's economic development potential;4) data covers all the way "area" 64 1 countries along the (Chinese), 1990-2019, a total of 29 data, in the heart of the "One Belt And One Road" related research application is very broad.

Abstract: The aim of research was to analyze the level of human development of the 25 municipalities in the Administrative Region of Ribeirão Preto, São Paulo's State, Brazil, using Municipal Human Development Index, and to inform weaknesses and potentialities of the tool. The methodology has exploratory and descriptive characteristics, based on secondary data. The municipality of Serra Azul presented most of the critical indicators that compose the index.

Access global HDI prices in locations such as United States, Southeast Asia and China. Includes monthly historical series. Delivered via online charts, Excel, Power BI, and API. Free preview.

Compared to other African countries, Seychelles scored the highest in the Human Development Index (HDI) in 2022. The country also ranked 67th globally, as one of the countries with a very high human development. This was followed by Mauritius, Libya, Egypt, and Tunisia, with scores ranging from 0.80 to 0.73 points. On the other hand, Central African Republic, South Sudan, and Somalia were among the countries in the region with the lowest index scores, indicating a low level of human development.

The average for 2023 based on 27 countries was 0.915 points. The highest value was in Denmark: 0.962 points and the lowest value was in Bulgaria: 0.845 points. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

Adjusted a food group and nutrient intakes (mean (SE)) across categories of alcoholic beverage preference.

Context

The Gender Inequality Index (GII) is a comprehensive measure devised to evaluate gender disparities and inequities within a society by taking into account various critical dimensions. This index provides insights into the differences and imbalances experienced by individuals based on their gender. The GII is an extension of the Human Development Index (HDI) and concentrates on three principal dimensions: reproductive health, empowerment, and economic activity. Reproductive health is a significant dimension of the GII, encompassing indicators such as maternal mortality rates and adolescent birth rates. These indicators reflect the disparities in health outcomes experienced by women, especially in terms of maternal health and reproductive rights.

Content

This dataset provides comprehensive historical data on gender development indicators at a global level. It includes essential columns such as ISO3 (the ISO3 code for each country/territory), Country (the name of the country or territory), Continent (the continent where the country is located), Hemisphere (the hemisphere in which the country is situated), Human Development Groups, UNDP Developing Regions, HDI Rank (2021) representing the Human Development Index Rank for the year 2021, GII Rank (2021) representing the Gender Inequality Index Rank for 2021 and Gender Inequality Index spanning from 1990 to 2021.

Dataset Glossary (Column-wise)

• ISO3 - ISO3 for the Country/Territory
• Country - Name of the Country/Territory
• Continent - Name of the Continent
• Hemisphere - Name of the Hemisphere
• Human Development Groups - Human Development Groups
• UNDP Developing Regions - UNDP Developing Regions
• HDI Rank (2021) - Human Development Index Rank for 2021
• GII Rank (2021) - Gender Inequality Index Rank for 2021
• Gender Inequality Index from 1990 to 2021 - Gender Inequality Index from 1990 to 2021

Data Dictionary

• UNDP Developing Regions:
  • SSA - Sub-Saharan Africa
  • LAC - Latin America and the Caribbean
  • EAP - East Asia and the Pacific
  • AS - Arab States
  • ECA - Europe and Central Asia
  • SA - South Asia

Structure of the Dataset

https://i.imgur.com/E64Y2Be.png" alt="">

Acknowledgement

This Dataset is created from Human Development Reports. This Dataset falls under the Creative Commons Attribution 3.0 IGO License. You can check the Terms of Use of this Data. If you want to learn more, visit the Website.

Cover Photo by: Image by pikisuperstar on Freepik

Thumbnail by: Equality icons created by Freepik - Flaticon

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.

The global Blocked HDI market is poised for robust growth, projected to reach $290.5 million in 2025 and maintain a healthy Compound Annual Growth Rate (CAGR) of 8.7% from 2025 to 2033. This expansion is driven primarily by increasing demand from the coatings and adhesives industries, fueled by the rising construction and automotive sectors. The preference for Blocked HDI stems from its superior performance characteristics, including excellent adhesion, durability, and chemical resistance. Growth is further bolstered by advancements in formulations leading to improved efficiency and reduced environmental impact. While challenges exist, such as price volatility of raw materials and potential regulatory changes, the market's inherent strengths are expected to outweigh these constraints. Segmentation reveals a strong preference for solids content above 70%, reflecting the industry's push for higher-performing products. Geographically, North America and Asia Pacific are leading the charge, with China and the United States emerging as key markets. The ongoing expansion in infrastructure projects and the automotive industry across these regions is anticipated to fuel further growth in the coming years. The market is highly competitive, with key players like Covestro, Asahi Kasei, and Tosoh continuously investing in R&D to enhance product offerings and expand their market share. The diverse applications of Blocked HDI across various end-use industries ensures market resilience. The increasing demand for high-performance coatings in electronics, protective coatings, and industrial applications contributes significantly to market expansion. Further, advancements in adhesive technology, particularly in areas like high-strength bonding, are driving adoption. The "Other" segment within applications, encompassing niche applications, holds potential for future growth as innovative uses are identified. While the solids content segmentation reflects current market trends, it is also anticipated that the demand for products with lower solids content (60%-70% and below 60%) may see growth in specific niches requiring tailored properties and process optimization. Regional growth will be influenced by economic growth rates, infrastructure developments, and specific government regulations within each geographic area.

In sub-Saharan Africa, a score of 0.55 was achieved on the Human Development Index (HDI) in 2021. This represented a low level of human development. Throughout the periods under study, the sub-region remained within the index scores of 0.42 and 0.56, an indication of low human development.

General characteristics of elderly included in the EPIC-Elderly (Spain, the Netherlands, Greece, and Sweden), Rotterdam Study, SENECA (Northern Europe and Southern Europe), and the Zutphen Elderly Study across categories of alcoholic beverage preference.

In 2023 Zurich was both the leading smart city based on the IMD smart city index as well as the city with the highest human development index score, making it one of the premier places on earth to live in. Notable exceptions to the HDI to IMD index score were Beijing, Dubai, and Abu Dhabi. Beijing is a notable outlier because although it ranked 12th on the digital smart cities ranking it was nearly 90 points lower than Zurich on the HDI score. This is compared to Munich, Germany, which was the 20th digital city but had a HDI score of 950.

Smart tech is watching.

CCTV cameras powered by artificial intelligence have become a significant growing market in the modern city. These are predominantly residential, with half the market catering to residential applications of CCTV cameras. However, commercial and business-related CCTV cameras have also seen significant growth, with the market reaching over 800 million U.S. dollars in 2023.

Digital cities need data and data needs infrastructure.

The leading issue with AI infrastructure is data management. AI is a strong influence on how digital cities work and requires a considerable amount of infrastructure to be effective. Storage of AI software is a minor concern, accounting for less than ten percent of challenges globally in 2023.

ABSTRACT Objective: state capacity constitutes the set of essential competences that government institutions have (or should have) in order to achieve public objectives. However, the multidimensional nature of the ‘state capacity’ construct implies a major research challenge for the scientific academy and a major management challenge for public managers. Theoretical framework: the creation of State Capacity Index (SCI) follows the same procedures as the Human Development Index (HDI). Method: the search for variables (proxies) that are pertinent to the Brazilian context and that empirically allow the measurement and operationalization of state capacity was carried out through extensive bibliographic research. Therefore, SCI allowed the general examination of the ‘state capacity’ construct. Results: the results are disparities in the municipal administrative structures of Minas Gerais. Conclusion: it is suggested the need for incentives and investments in the dimensions that cover the State Capacity Index, namely: administrative, political, and fiscal.