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.

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.

In 2025, Canberra, the capital city of Australia, had the highest Human Development Index (HDI) in the Asia-Pacific region, with a score of ****. In contrast, India's Hyderabad had an HDI score of roughly **** in the same year. HDI provides a human-centered overview of development based on an individual's longevity and wellness, knowledge, and decent living standards.

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.

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.

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.

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.

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.

The Human Mobility Index

The distance among villages, cities, regions, countries, and other socio-economic and political entities has long been considered important in explaining their comparative political and economic development. While theories abound about how geographical isolation and distances affect trade, warfare, epidemics, and colonization among many others, there is a lack of systematic historical data on communication and transportation costs, as well as geographical distances. This has led many scholars to use great circle distances as a proxy. This measure, however, is rather crude as it does not capture the large variation in the geographical and technological conditions underlying similar great circle distances in different periods.

In Özak (2018) I rectify this deficiency by introducing a novel set of measures of historical mobility: "The Human Mobility Index (HMI)" which estimates the potential minimum travel time across the globe (measured in hours) accounting for human biological constraints, as well as geographical and technological factors that determined travel time before the widespread use of steam power. In particular, the HMI indices provide a distinct measure of human mobility potential in different eras:

1. Human Mobility Index (HMI): This index measures mobility on land without seafaring technology. It shows mobility potential on land before the widespread use of steam power.
2. Human Mobility Index with Seafaring: HMI expanded to allow mobility on a select set of seas for which historical data was available. It shows potential mobility on land and seas before the introduction of ocean-faring ships.
3. Human Mobility Index with Ocean: HMI expanded to allow mobility on all seas based on CLIWOC (interpolated). It shows potential mobility on land and seas after the introduction of ocean-faring ships but before the widespread use of steamships.

Based on these cost surfaces, researchers can find the minimum travel times between locations or construct more sophisticated statistics based on these. For example, Ashraf, Galor, and Özak (2010) construct measures of pre-historic geographical isolation to study the effect of isolation on development. Similarly, Özak (2010), Depetris-Chauvin and Özak (2016, 2018), and Michalopoulus and Özak (2019) construct potential trade and information flow networks among countries, ethnic groups, cities, and artificial geographical units, to study the origins of the division of labor, and the effect of technological change on isolation and development. Likewise, Depetris-Chauvin and Özak (2019) use these measures to construct artificial states based on Voronoi partitions.

This strategy overcomes the potential mismeasurement of distances generated by using geodesic distances (Özak 2010), for a period when travel time was the most important determinant of transportation costs. Additionally, it removes the potential concern that travel time to the frontier reflects a country's stage of development, mitigating further possible endogeneity concerns. The research validates these measures by (i) analyzing their association with actual historical travel time; (ii) examining their explanatory power for the location of historical trade routes in the Old World; and (iii) analyzing their association with genetic and cultural distances.

The project's main page is https://human-mobility-index.github.io/. This repository holds the data files, which researchers can download and use with GIS software. It will also provide the data for the Python package to compute distances based on them.

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.

1/ Historical labor force and jobs data revised. For details, see Hawaii DLIR http://www.hiwi.org/cgi/dataanalysis/?PAGEID=94 .
2/ Data from January 1999 have been revised and consist of domestic and international air arrivals. They are not comparable to Eastbound and Westbound series.
Source: Hawaii Department of Labor & Industrial Relations; Hawaii Department of Taxation; Hawaii Department of Business, Economic
Development and Tourism; county building departments; Honolulu Board of REALTORS® compiled by Harvey Shapiro, Title Guaranty of
Hawaii and Realtors® Association of Maui, Inc. Final tables compiled by Statistics and Data Support Branch, READ, DBEDT

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

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.

Graph and download economic data for Composite Leading Indicators: Reference Series (GDP) Calendar and Seasonally Adjusted for United States (LORSGPORUSQ659S) from Q1 1948 to Q4 2023 about leading indicator, GDP, and USA.

As of 2021, the Sustainable Development Goal (SDG) index score for decent work and economic growth (SDG 8) ranges between ** and ** for Indian states and union territories. The state of Himachal Pradesh had the highest score of **.

The Human development index (HDI) for European countries in 2023 shows that although all the countries in this statistic have scores which imply high levels of development, Iceland 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.

Ireland: Uneven economic development index, 0 (low) - 10 (high): The latest value from 2024 is 2.1 index points, an increase from 1.8 index points in 2023. In comparison, the world average is 5.28 index points, based on data from 176 countries. Historically, the average for Ireland from 2007 to 2024 is 2.31 index points. The minimum value, 1.3 index points, was reached in 2020 while the maximum of 3 index points was recorded in 2008.

Acronym: WDIType: Time SeriesTopics: Agriculture and Food Security, Climate Change, Economic Growth, Education, Energy and Extractives, Environment and Natural Resources, Financial Sector, Development,GenderHealth Nutrition and Population,Macroeconomic Vulnerability and Debt,Poverty, Private Sector Development, Public Sector Management, Social Development, Social Protection and Labor, Trade, Economy Coverage: High Income IBRD IDA Low Income Lower Middle Income Upper Middle IncomeLanguages Supported: English Arabic Chinese French SpanishNumber of Economies: 217Geographical Coverage: World East Asia & Pacific American Samoa Australia Brunei Darussalam Cambodia China FijiFrench Polynesia Guam Hong Kong SAR, China Indonesia Japan KiribatiKorea, Dem. People's Rep. Korea, Rep. Lao PDR Macao SAR, China Malaysia Marshall IslandsMongolia Myanmar Nauru New Caledonia New Zealand Northern Mariana Islands PalauPapua New Guinea Philippines Samoa Singapore Solomon Islands Thailand Timor-LesteTonga Tuvalu Vanuatu Vietnam Europe & Central Asia Albania Andorra Armenia AustriaAzerbaijan Belarus Belgium Bosnia and Herzegovina Bulgaria Croatia Cyprus Czech RepublicDenmark Estonia Faroe Islands Finland France Georgia Germany Gibraltar Greece GreenlandHungary Iceland Ireland Isle of Man Italy Kazakhstan Kyrgyz Republic Latvia LiechtensteinLithuania Luxembourg Macedonia, FYR Moldova Monaco Montenegro Netherlands NorwayPoland Portugal Romania Russian Federation San Marino Serbia Slovak Republic SloveniaSpain Sweden Switzerland Tajikistan Turkey Turkmenistan Ukraine United KingdomUzbekistan Latin America & Caribbean Antigua and Barbuda Aruba Argentina Bahamas, TheBarbados Belize Bolivia Brazil Cayman Islands Chile Costa Rica Colombia Cuba CuraçaoDominica Dominican Republic Ecuador El Salvador Grenada Guatemala Guyana HaitiHonduras Jamaica Mexico Nicaragua Panama Paraguay Peru Puerto RicoSint Maarten (Dutch part) St. Kitts and Nevis St. Martin (French part) St. LuciaSt. Vincent and the Grenadines Suriname Trinidad and Tobago Turks and Caicos IslandsUruguay Venezuela, RB Virgin Islands (U.S.) Middle East & North Africa Algeria BahrainEgypt, Arab Rep. Djibouti Iraq Iran, Islamic Rep. Israel Jordan Kuwait Lebanon Libya MaltaMorocco Oman Qatar Saudi Arabia Syrian Arab Republic United Arab Emirates TunisiaYemen, Rep. Bermuda Canada United States South Asia Afghanistan Bangladesh BhutanIndia Pakistan Nepal Maldives Sri Lanka Angola Benin Botswana Burkina Faso BurundiCabo Verde Cameroon Central African Republic Chad Comoros Congo, Dem. Rep. Congo, Rep.Côte d'Ivoire Ethiopia Eritrea Equatorial Guinea Gabon Gambia, The Ghana GuineaGuinea-Bissau Kenya Lesotho Liberia Madagascar Malawi Mali Mauritania MauritiusMozambique Namibia Niger Nigeria Rwanda São Tomé and Principe Seychelles SenegalSierra Leone Somalia South Africa South Sudan Sudan Swaziland Tanzania Togo UgandaZambia Zimbabwe

The human development index (HDI) score of Russia slightly increased in 2023, having reached *****. That was the highest observation since 1990. The 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. The HDI score of Russia declined between 1990 and 1995 before recovering from 2000 onwards.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.