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 ****.

******* 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.

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 ***. 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 *** 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 ** percent of challenges globally in 2023.

Health Data Interactive (HDI) presents a broad range of important public health indicators through an interactive web-based application that provides access to pre-tabulated national and state data for the US. The primary objective is to provide national estimates of public health measures cross tabulated by a common set of variables. HDI tables contain national health statistics for infants, children, adolescents, adults, and older adults. The tables can be customized by age, gender, race/ethnicity, and geographic location to explore different trends and patterns.n

darkred06/hdi dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset provides a country–year panel for OECD countries covering the period 2010–2024. It combines annual data on public, private and total social expenditure as a share of GDP with the World Happiness Index (WHI) and the Human Development Index (HDI).The data are constructed to analyze the relationships between social spending, subjective well-being and human development in OECD countries. The panel structure (one observation per country per year) makes the dataset suitable for descriptive analysis as well as regression-based empirical research.ContentsThe main Excel file contains a single data sheet:Sheet: data_setEach row corresponds to a specific country–year observation for an OECD member state.Variables:Country: Country name (OECD member; e.g., “Australia”, “Türkiye”, “United States”).iso3: ISO 3166-1 alpha-3 country code (e.g., “AUS”, “TUR”, “USA”).year: Calendar year (2010–2024).pub_socexp_gdp: Public social expenditure as a percentage of GDP (%).priv_socexp_gdp: Private (mandatory and voluntary) social expenditure as a percentage of GDP (%).tot_socexp_gdp: Total social expenditure (public + private) as a percentage of GDP (%).WHI: World Happiness Index; average national happiness score on a 0–10 scale based on the Cantril ladder question.HDI: Human Development Index; composite index of three basic dimensions of human development (health, education, and standard of living).income_group: Binary country income group indicator used in the analysis. High‑income OECD countries are coded as 1 (“High”), and all other OECD members (upper‑middle, lower‑middle and low income) are coded as 0 (“NonHigh”). Income groups were constructed using data from the OECD Data Explorer (2024) and the World Bank country income classification for 2024, based on PPP (purchasing power parity) income thresholds.Empty cells indicate that data for the corresponding country–year observation are not available in the original sources or were not included in the analytical sample due to missingness.Data sourcesSocial expenditure (pub_socexp_gdp, priv_socexp_gdp, tot_socexp_gdp)Data are taken from the OECD Social Expenditure Database (SOCX). SOCX provides reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at the program level for 38 OECD countries (and some accession countries), with coverage from 1980 and estimates for more recent years.Reference: OECD Social Expenditure Database (SOCX), https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html.World Happiness Index (WHI)Happiness data are drawn from the World Happiness Report, accessed via HumanProgress.org (World Happiness Report section). The index is based on average national values for answers to the Cantril ladder question, which asks respondents to evaluate their current life on a 0–10 scale, with the worst possible life as 0 and the best possible life as 10.Reference: World Happiness Report; HumanProgress.org, https://humanprogress.org.Human Development Index (HDI)HDI data are drawn from the Human Development Index series compiled by the United Nations Development Programme (UNDP), accessed via HumanProgress.org (Human Development Index section). The HDI measures three basic dimensions of human development: life expectancy at birth; an education component (adult literacy rate and school enrollment); and GDP per capita (purchasing power parity, PPP, in U.S. dollars), combined into a composite index.Reference: United Nations Development Programme (UNDP), Human Development Reports; HumanProgress.org, https://humanprogress.org.Data construction and coverageThe dataset is restricted to OECD member countries and the years 2010–2024.WHI and HDI series are matched to OECD social expenditure data using ISO3 country codes and calendar years.In addition, a binary income group variable (income_group) was created to distinguish high‑income OECD countries from other OECD members, using the World Bank’s 2024 income thresholds (PPP‑based) and country information from the OECD Data Explorer (2024).Some country–year combinations, particularly in later years (e.g., 2022–2024), contain missing values where the original sources do not provide data or only provide partial estimates. These are retained as empty cells.The empirical analyses in the associated study are conducted on subsets of the data restricted to complete cases for the relevant variables.Researchers can use this dataset to replicate the results of the associated study or to conduct additional analyses on the links between social expenditure, happiness and human development within the OECD context.If you use this dataset, please cite both this data file and the original data providers (OECD, World Happiness Report, UNDP, and HumanProgress.org).

Ranked bottom and top five states, HLI, 2016.

Hdi Land Ng Gear Usa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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This is collected from an open USA dataset. It contain the GDP growth of USA from 1st January 1947 to 1st January 2020. Gross Domestic Product or GDP reflects the development of a country and well being. An increase in GDP often refers to the improvement in the standards of living. There are other indicators of standards of living like Human Development Index or HDI, which is calculated depending on other factors.

Hdi Landing Gear Usa Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

These test data files were used to debug the code used in the following study: "Is the Gini Coefficient Enough? A Microeconomic Data Decomposition Study."

List of test data: 1. it14ih.dta - household-level dataset for Italy. 2. it14ip.dta - person-level dataset for Italy. 3. mx16ih.dta - household-level dataset for Mexico. 4. mx16ip.dta - person-level dataset for Mexico. 5. us18ih.dta - household-level dataset for the USA. 6. us18ip.dta - person-level dataset for the USA.

All files can be used for testing/debugging of the following scripts: lis_theil.R, lis_scv.R, lis_theil_functions.R, lis_scv_functions.R.

These datasets were donloaded from the following website. https://www.lisdatacenter.org/resources/self-teaching/.

Island erreichte beim Index der menschlichen Entwicklung (Human Development Index, HDI) im Jahr 2023 einen Wert von ***** Punkten und war damit das Land auf Platz eins des Rankings. Dahinter folgen Norwegen, die Schweiz und Dänemark. Deutschland erreichte mit ***** Punkten Platz fünf. Was ist der Human Development Index? Der Human Development Index, abgekürzt HDI, ist ein Index der menschlichen Entwicklung in den Ländern der Welt. Er wird von den Vereinten Nationen veröffentlicht und gilt als Wohlstandsindikator. Der HDI kann Werte zwischen 0 und 1 annehmen (zur besseren Darstellung wurden die ursprünglichen Werte in dieser Statistik mit 1.000 multipliziert). Je höher der Wert, desto weiter ist die menschliche Entwicklung in den jeweiligen Ländern vorangeschritten. Hochentwickelte Länder weisen einen HDI von mindestens 0,8 auf. Die Zusammensetzung des HDI Der Human Development Index (HDI) ist ein zusammengesetzter Index, der auf drei grundlegenden Dimensionen der menschlichen Entwicklung beruht:

die Fähigkeit, ein langes und gesundes Leben zu führen, gemessen an der Lebenserwartung bei der Geburt die Fähigkeit, Wissen zu erwerben, gemessen an durchschnittlichen Schuljahren und erwarteten Schuljahren die Fähigkeit, einen angemessenen Lebensstandard zu erreichen, gemessen am Bruttonationaleinkommen pro Kopf

Siehe zum Thema auch die entsprechenden Statistiken zum Gender Development Index sowie zum Gender Inequality Index.

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

Contains data sourced from:

UN HDI Report Economist Intelligence Unit Democracy Index Reporters Without Borders (RSF) Press freedom index World Happiness Report Freedom House World Freedom Index

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.

This dataset contains several socio-economic variables of ASEAN (Association of Southeast Asian Nations) countries released by ASEAN statistical yearbook. This variables are: 1. Year relating to the observation concerned 2. Country relating to the observation concerned 3. GDP per capita in US$ 4. HDI (Human Development Index) 5. Population in thousands 6. Export value in billion US$

Possible analysis includes simple data exploration and visualization, cross-sectional regression, panel data analysis, and even spatially weighted regression.

The global printed circuit board market size reached US$ 70.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 97.6 Billion by 2032, exhibiting a growth rate (CAGR) of 3.4% during 2024-2032. The increasing demand for consumer electronics, advancements in automotive technology, expansion of the Internet of Things (IoT) sector, and the rise in electronic component miniaturization, coupled with stringent environmental regulations fostering innovation and sustainability, are strengthening the printed circuit board demand.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on type, substrate, and end use industry.

In 2025, Luxembourg was the country with the highest gross domestic product per capita in the world. Of the 20 listed countries, 13 are in Europe and five are in Asia, alongside the U.S. and Australia. There are no African or Latin American countries among the top 20. Correlation with high living standards While GDP is a useful indicator for measuring the size or strength of an economy, GDP per capita is much more reflective of living standards. For example, when compared to life expectancy or indices such as the Human Development Index or the World Happiness Report, there is a strong overlap - 14 of the 20 countries on this list are also ranked among the 20 happiest countries in 2024, and all 20 have "very high" HDIs. Misleading metrics? GDP per capita figures, however, can be misleading, and to paint a fuller picture of a country's living standards then one must look at multiple metrics. GDP per capita figures can be skewed by inequalities in wealth distribution, and in countries such as those in the Middle East, a relatively large share of the population lives in poverty while a smaller number live affluent lifestyles.