Governance consists of the traditions and institutions by which authority in a country is exercised. This includes the process by which governments are selected, monitored and replaced; the capacity of the government to effectively formulate and implement sound policies; and the respect of citizens and the state for the institutions that govern economic and social interactions among them. The Worldwide Governance Indicators (WGI) report on six broad dimensions of governance for more than 200 economies since 1996: (I) Voice and Accountability; (II) Political Stability and Absence of Violence; (III) Government Effectiveness; (IV) Regulatory Quality; (V) Rule of Law; and (VI) Control of Corruption. The WGI are composite governance indicators based on over 30 underlying data sources. These data sources are rescaled and combined to create the six aggregate indicators using a statistical methodology known as an unobserved components model. A key feature of the methodology is that it generates margins of error for each governance estimate. These margins of error need to be taken into account when making comparisons across countries and over time. The WGI aggregate indicators and underlying source data are available at http://www.govindicators.org.

For further details, please refer to http://info.worldbank.org/governance/wgi/Home/Documents

Disclaimer

This dataset is NOT a reflection of my personal views.

This dataset contains evaluation of corruption from two major agencies, Transparency International and Worldwide Governance Indicators (WGI), a World Bank project. The data from Transparency International is split into two files because they don't have exactly the same columns, although most columns are the same. It makes more sense to have them seperately, and you can merge them if you would like to. - transparency_active.csv contains Transparency International data from 2012-2021 - transparency_legacy.csv contains Transparency International data from 1995-2011 - wgidataset.csv contains WGI data from 1996-2021 - wgidataset_readme.pdf is a documentation that explains what the indicators mean in wgidataset.csv

Good governance is essential for development. It helps countries improve economic growth, build human capital, and strengthen social cohesion. Empirical evidence shows a strong causal relationship between better governance and better development outcomes. The Worldwide Governance Indicators (WGI) are designed to help researchers and analysts assess broad patterns in perceptions of governance across countries and over time. The WGI cover over 200 countries and territories, measuring six dimensions of governance starting in 1996: Voice and Accountability, Political Stability and Absence of Violence/Terrorism, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption. The aggregate indicators are based on several hundred individual underlying variables, taken from a wide variety of existing data sources. The data reflect the views on governance of survey respondents and public, private, and NGO sector experts worldwide Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank. Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI. Percentile Rank Upper refers to upper bound of 90 percent confidence interval for governance, expressed in percentile rank terms.

Government Effectiveness: Percentile Rank in Nepal was reported at 21.7 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nepal - Government Effectiveness: Percentile Rank - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. Governance consists of the traditions and institutions by which authority in a country is exercised. This includes the process by which governments are selected, monitored and replaced; the capacity of the government to effectively formulate and implement sound policies; and the respect of citizens and the state for the institutions that govern economic and social interactions among them. Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government's commitment to such policies. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank. Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI. Percentile Rank Lower refers to lower bound of 90 percent confidence interval for governance, expressed in percentile rank terms.

Actual value and historical data chart for Vietnam Government Effectiveness Percentile Rank

Actual value and historical data chart for Bangladesh Government Effectiveness Percentile Rank

The ability to monitor state behavior has become a critical tool of international governance. Systematic monitoring allows for the creation of numerical indicators that can be used to rank, compare, and essentially censure states. This article argues that the ability to disseminate such numerical indicators widely and instantly constitutes an exercise of social power, with the potential to change important policy outputs. It explores this argument in the context of the United States’ efforts to combat trafficking in persons and find evidence that monitoring has important effects: Countries are more likely to criminalize human trafficking when they are included in the U.S. annual Trafficking in Persons Report, and countries that are placed on a “watch list” are also more likely to criminalize. These findings have broad implications for international governance and the exercise of soft power in the global information age. in AJPS publication

The IMF-adapted ND-GAIN index is an adaptation of the original index, adjusted by IMF staff to replace the Doing Business (DB) Index, used as source data in the original ND-GAIN, because the DB database has been discontinued by the World Bank in 2020 and it is no longer allowed in IMF work. The IMF-adapted ND-GAIN is an interim solution offered by IMF staff until the ND-GAIN compilers will review the methodology and replace the DB index.Sources: ND-GAIN; Findex - The Global Findex Database 2021; Worldwide Governance Indicators; IMF staff calculations. Category: AdaptationData series: IMF-Adapted ND-GAIN IndexIMF-Adapted Readiness scoreReadiness score, GovernanceReadiness score, IMF-Adapted EconomicReadiness score, SocialVulnerability scoreVulnerability score, CapacityVulnerability score, EcosystemsVulnerability score, ExposureVulnerability score, FoodVulnerability score, HabitatVulnerability score, HeathVulnerability score, SensitivityVulnerability score, WaterVulnerability score, InfrastructureMetadata:The IMF-adapted ND-GAIN Country Index uses 75 data sources to form 45 core indicators that reflect the vulnerability and readiness of 192 countries from 2015 to 2021. As the original indicator, a country's IMF-adapted ND-GAIN score is composed of a Readiness score and a Vulnerability score. The Readiness score is measured using three sub-components – Economic, Governance and Social. In the original ND-GAIN database, the Economic score is built on the DB index, while in the IMF-adapted ND-GAIN, the DB Index is replaced with a composite index built using the arithmetic mean of “Borrowed from a financial institution (% age 15+)” from The Global Financial Index database (FINDEX_BFI) and “Government effectiveness” from the Worldwide Governance Indicators database (WGI_GE). The Vulnerability, Social and Governance scores do not contain any DB inputs and, hence, have been sourced from the original ND-GAIN database. Methodology:The procedure for data conversion to index is the same as the original ND-GAIN and follows three steps: Step 1. Select and collect data from the sources (called “raw” data), or compute indicators from underlying data. Some data errors (i.e., tabulation errors coming from the source) are identified and corrected at this stage. If some form of transformation is needed (e.g., expressing the measure in appropriate units, log transformation to better represent the real sensitivity of the measure etc.) it happens also at this stage. Step 2. At times some years of data could be missing for one or more countries; sometimes, all years of data are missing for a country. In the first instance, linear interpolation is adopted to make up for the missing data. In the second instance, the indicator is labeled as "missing" for that country, which means the indicator will not be considered in the averaging process. Step 3. This step can be carried out after of before Step 2 above. Select baseline minimum and maximum values for the raw data. These encompass all or most of the observed range of values across countries, but in some cases the distribution of the observed raw data is highly skewed. In this case, ND-GAIN selects the 90-percentile value if the distribution is right skewed, or 10-percentile value if the distribution is left skewed, as the baseline maximum or minimum. Based on this procedure, the IMF–Adapted ND-GAIN Index is derived as follows: i. Replace the original Economic score with a composite index based on the average of WGI_GE and cubic root of FINDEX_BFI1, as follows:IMF-Adapted Economic = ½ · (WGI_GE) + ½ · (FINDEX_BFI)1/3 (1) The IMF-adapted Readiness and overall IMF-adapted ND-GAIN scores are then derived as: IMF-Adapted ND-GAIN Readiness = 1/3 · ( IMF-Adapted Economic + Governance + Social) IMF-Adapted ND-GAIN = ½·( IMF-Adapted ND-GAIN Readiness+ND-GAIN Vulnerability) ii. In case of missing data for one of the indicators in (1), IMF-Adapted ND-GAIN Economic would be based on the value of the available indicator. In case none of the two indicators is available, the IMF-Adapted Economic score would not be produced but the IMF-Adapted ND-GAIN Readiness would be computed as average of the Governance and Social scores. This approach, that replicates the approach used to derive the original ND-GAIN indexes in case of missing data, ensures that the proposed indicator has the same coverage as the original ND-GAIN database.
1 Given that the FINDEX_BFI data are positively skewed, a cubic root transformation has been implemented to induce symmetry.

Actual value and historical data chart for Pakistan Government Effectiveness Percentile Rank

The average for 2023 based on 193 countries was -0.07 points. The highest value was in Liechtenstein: 1.61 points and the lowest value was in Syria: -2.75 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.

Government Effectiveness: Percentile Rank in Oman was reported at 62.26 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Oman - Government Effectiveness: Percentile Rank - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The Worldwide Governance Indicators (WGI) are a research dataset summarizing the views on the quality of governance provided by a large number of enterprise, citizen and expert survey respondents in industrial and developing countries. Governance consists of the traditions and institutions by which authority in a country is exercised. This includes the process by which governments are selected, monitored and replaced; the capacity of the government to effectively formulate and implement sound policies; and the respect of citizens and the state for the institutions that govern economic and social interactions among them. Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism. Percentile rank indicates the country's rank among all countries covered by the aggregate indicator, with 0 corresponding to lowest rank, and 100 to highest rank. Percentile ranks have been adjusted to correct for changes over time in the composition of the countries covered by the WGI.

Over recent years, online government services have become increasingly common. In 2024, Denmark was ranked first with a near-perfect E-Government Development Index (EGDI) rating of ******. The EGDI assesses e-government development at a national level based on three components: the online service index, the telecommunication infrastructure index, and the human capital index. E-government development and the persisting digital divide According to the UN, e-government is a pivotal factor in advancing the implementation of the Sustainable Development Goals. Public services should be accessible to all, and e-government has to harness existing and new technologies to ensure that. There is a risk of a new digital divide, as low-income countries with insufficient infrastructure are lagging, leaving already vulnerable people even more at risk of not being able to gain any advantage from new technologies. Despite some investments and developmental gains, many countries are still unable to benefit from ICTs because of poor connectivity, high cost of access and lack of necessary skills. These factors have a detrimental effect on the further development of e-government in low EGDI-ranked regions such as Africa as the pace of technological progress intensifies. E-government services Transactional services are among the most common features offered by e-government websites worldwide. In 2018, it was found that *** countries enabled their citizens to submit income taxes via national websites. The majority of countries allow citizens to access downloadable forms, receive updates or access archived information about a wide range of sectors such as education, employment, environment, health, and social protection.

Dive into Transparency International's Corruption Perceptions Index for a global overview of corruption trends and rankings.

Reference:

Transparency International (n.d). Corruption Perception Index. [online] Transparency.org. Available at: https://www.transparency.org/en/.

To know more details about reproducing and using Transparency International work, you can consult https://www.transparency.org/permissions ‌

About Dataset

Description This dataset contains detailed rankings and indicators from the 2023 Legatum Prosperity Index, assessing and ranking countries based on various dimensions of prosperity and development. The indicators cover aspects such as:

• Country: The name of the country.
• AveragScore: The overall average score of the country across all indicators.
• SafetySecurity: Freedom from conflict, terrorism, and crime.
• PersonelFreedom: Rights to speech, assembly, and individual autonomy.
• Governance: Quality of democracy, rule of law, and government effectiveness.
• SocialCapital: Strength of personal relationships and civic engagement.
• InvestmentEnvironment: Conditions for private investment and credit access.
• EnterpriseConditions: Business environment and market competition.
• MarketAccessInfrastructure: Ease of trade and quality of infrastructure.
• EconomicQuality: Macroeconomic stability and employment quality.
• LivingConditions: Standard of living and access to basic services.
• Health: Population health and healthcare access.
• Education: Quality and accessibility of education.
• NaturalEnvironment: Environmental quality and sustainability.

Source

The data is sourced from the 2023 Legatum Prosperity Index available at prosperity.com/rankings.

License

This dataset is shared under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). You are free to use, share, and adapt the data, provided that you attribute the source and share any derived works under the same license.

Acknowledgements

We acknowledge the Legatum Institute for compiling and providing the data used in this dataset. For more information on the methodology and detailed country reports, please visit the Legatum Prosperity Index website.

Usage

This dataset can be used for research, analysis, and educational purposes to understand the different dimensions of prosperity and development across countries in 2023. It is a valuable resource for policymakers, researchers, and anyone interested in global development metrics. Additionally, clustering analysis can be performed to group countries based on their development levels, providing insights into regional similarities and differences.

Keywords

Global Prosperity, Country Development, Safety, Governance, Health, Education, Economic Quality, 2023 Rankings, Legatum Prosperity Index, Clustering, Tabular, Social Science, Economics, Advanced

According to the government artificial intelligence (AI) readiness index rankings, the United States (U.S.) is the highest-ranked country on the worldwide index in 2024, with an index score of *****. This means that the U.S. is considered the country best situated in the world to implement AI within public services, from healthcare to education to transportation. Other noteworthy countries with high indexes were Singapore, the Republic of Korea, and France coming in at second, third, and fourth respectively. China ranks **** on the index as it only measures AI readiness instead of AI implementation. Compared to many other countries that may score more highly for AI readiness, China is advanced in implementing AI capabilities to public services as it has made this a top government priority.

This dataset contains 3,000 rows and 33 columns covering Corruption Perceptions Index (CPI) data and various governance indicators from 2000 to 2023. It includes country-wise rankings, scores, and additional metrics such as public sector corruption, judiciary corruption, bribery index, business ethics, democracy index, rule of law, government effectiveness, economic indicators, and human development indices.

The data can be used for:

Corruption trend analysis

Impact of corruption on GDP, HDI, and governance

Cross-country comparisons

Data visualization and machine learning models

This dataset is useful for researchers, data analysts, policymakers, and students interested in studying global corruption trends.

It contains information about corruption and its potential relationship with annual income in different countries. Here's a description of the columns in your dataset:

1.**Country**: This column likely contains the names or labels of various countries or regions for which you have data on corruption and annual income. Each row in your dataset represents a specific country or region.

2.**Corruption Index**: This column may contain a numerical value or an index that quantifies the level of corruption within each country. Corruption indices are typically composite scores or rankings based on various factors, such as transparency, governance, and the extent of corruption within a nation. Higher values on this index usually indicate lower levels of corruption, while lower values suggest higher levels of corruption.

3.**Ø Annual Income**: This column likely represents the average annual income or income per capita for each country. Annual income can be measured in various units (e.g., US dollars, local currency) and provides an indication of the economic prosperity or wealth of a country's population. It is often used as an economic indicator to understand the standard of living and income distribution within a nation.

The E-Government Development Index presents the state of E-Government Development of the United Nations Member States. Along with an assessment of the website development patterns in a country, the E-Government Development index incorporates the access characteristics, such as the infrastructure and educational levels, to reflect how a country is using information technologies to promote access and inclusion of its people. The EGDI is a composite measure of three important dimensions of e-government, namely: provision of online services, telecommunication connectivity and human capacity.