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This dataset is NOT a reflection of my personal views.
The Corruption Perceptions Index (CPI) is the most widely used global corruption ranking in the world. It measures how corrupt each country’s public sector is perceived to be, according to experts and businesspeople (source).
Each country’s score is a combination of at least 3 data sources drawn from 13 different corruption surveys and assessments. These data sources are collected by a variety of reputable institutions, including the World Bank and the World Economic Forum (source).
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
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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.
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TwitterCorruption perceptions index (cpi) ranks countries/territories in terms of the degree to which corruption is perceived to exist among public officials and politicians.
the data is sourced from transp...
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The United States scored 65 points out of 100 on the 2024 Corruption Perceptions Index reported by Transparency International. This dataset provides the latest reported value for - United States Corruption Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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The Corruption Perceptions Index scores and ranks countries/territories based on how corrupt a country’s public sector is perceived to be. It is a composite index, a combination of surveys and assessments of corruption, collected by a variety of reputable institutions. The CPI is the most widely used indicator of corruption worldwide.
Corruption generally comprises illegal activities, which are deliberately hidden and only come to light through scandals, investigations or prosecutions. There is no meaningful way to assess absolute levels of corruption in countries or territories on the basis of hard empirical data. Possible attempts to do so, such as by comparing bribes reported, the number of prosecutions brought or studying court cases directly linked to corruption, cannot be taken as definitive indicators of corruption levels. Instead, they show how effective prosecutors, the courts or the media are in investigating and exposing corruption. Capturing perceptions of corruption of those in a position to offer assessments of public sector corruption is the most reliable method of comparing relative corruption levels across countries.
The data sources used to calculate the Corruption Perceptions Index scores and ranks were provided by the African Development Bank, Bertelsmann Stiftung Foundation, The Economist, Freedom House, IHS Markit, IMD Business School, Political and Economic Risk Consultancy, Political Risk Services, World Bank, World Economic Forum, World Justice Project, and Varieties of Democracy Project.
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The indicator is a composite index based on a combination of surveys and assessments of corruption from 13 different sources and scores and ranks countries based on how corrupt a country’s public sector is perceived to be, with a score of 0 representing a very high level of corruption and a score of 100 representing a very clean country. The sources of information used for the 2017 CPI are based on data gathered in the 24 months preceding the publication of the index. The CPI includes only sources that provide a score for a set of countries/territories and that measure perceptions of corruption in the public sector. For a country/territory to be included in the ranking, it must be included in a minimum of three of the CPI’s data sources. The CPI is published by Transparency International.
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Dive into Transparency International's Corruption Perceptions Index for a global overview of corruption trends and rankings.
| Column Name | Description |
|---|---|
| Country / Territory | Name of the country or territory. |
| ISO3 | ISO 3166-1 alpha-3 country code. |
| Region | Geographic region or economic union the country belongs to. |
| CPI score 2023 | Corruption Perceptions Index score for the year 2023. |
| Rank | Ranking of the country based on CPI score. |
| Standard error | Standard error associated with the CPI score. |
| Number of sources | Number of sources used to calculate the CPI score. |
| Lower CI | Lower confidence interval bound for the CPI score. |
| Upper CI | Upper confidence interval bound for the CPI score. |
| African Development Bank CPIA | CPIA (Country Policy and Institutional Assessment) score by the African Development Bank. |
| Bertelsmann Foundation Sustainable Governance Index | Sustainable Governance Index score by the Bertelsmann Foundation. |
| Bertelsmann Foundation Transformation Index | Transformation Index score by the Bertelsmann Foundation. |
| Economist Intelligence Unit Country Ratings | Country Ratings by the Economist Intelligence Unit. |
| Freedom House Nations in Transit | Nations in Transit score by Freedom House. |
| Global Insights Country Risk Ratings | Country Risk Ratings by Global Insights. |
| IMD World Competitiveness Yearbook | Competitiveness score by IMD. |
| PERC Asia Risk Guide | Asia Risk Guide score by PERC. |
| PRS International Country Risk Guide | Country Risk Guide score by PRS. |
| Varieties of Democracy Project | Democracy Project score by V-Dem. |
| World Bank CPIA | CPIA (Country Policy and Institutional Assessment) score by the World Bank. |
| World Economic Forum EOS | EOS (Enabling of Sustainability) score by the World Economic Forum. |
| World Justice Project Rule of Law Index | Rule of Law Index score by the World Justice Project. |
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
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The average for 2023 based on 193 countries was -0.04 points. The highest value was in Denmark: 2.38 points and the lowest value was in Syria: -1.75 points. The indicator is available from 1996 to 2023. Below is a chart for all countries where data are available.
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Indonesia scored 37 points out of 100 on the 2024 Corruption Perceptions Index reported by Transparency International. This dataset provides the latest reported value for - Indonesia Corruption Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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This dataset provides values for CORRUPTION INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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China: Political corruption index: The latest value from 2024 is 0.551 index points, an increase from 0.525 index points in 2023. In comparison, the world average is 0.483 index points, based on data from 171 countries. Historically, the average for China from 1960 to 2024 is 0.442 index points. The minimum value, 0.251 index points, was reached in 1960 while the maximum of 0.598 index points was recorded in 2000.
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TwitterAccording to the 2024 Corruption Perception Index, South Sudan, with a score of 8, is perceived to be the most corrupt country in the world. Somalia, Venezuela, and Syria followed behind. Points considered when calculating the perception of countries' levels of corruption include: bribery of public officials, kickbacks in public procurement, embezzlement of state funds, and how effective public sector anti-corruption efforts have proven to be. A score of 0 indicates high perceptions of corruption, and a score of 100 indicates that no corruption is perceived in the respective country.
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Argentina: Political corruption index: The latest value from 2024 is 0.387 index points, a decline from 0.404 index points in 2023. In comparison, the world average is 0.483 index points, based on data from 171 countries. Historically, the average for Argentina from 1960 to 2024 is 0.456 index points. The minimum value, 0.124 index points, was reached in 1964 while the maximum of 0.629 index points was recorded in 1990.
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The Anticorruption Projects Database (Database) includes information about USAID projects with anticorruption interventions implemented worldwide between 2007 and 2013. The Database includes about 300 long-term country projects and regional or short-term projects. Projects were identified and information collected by the six Implementing Partners (IP) of the ENGAGE Indefinite Quantity Contract. Criteria for selecting projects included: distinctive project interventions targeted at reducing corruption or promoting government integrity, accountability and transparency that ultimately results in reducing opportunities to corruption. Availability of sufficient information about the projects was another criterion for selecting them to the Database. This included but was not limited to project description and results, implementation timeframe, project value, and implementer. After reviewing approximately 2000 projects, more than 300 were identified for the Database.
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The 2018 BCI index
The Bayesian Corruption Index is a composite index of the perceived overall level of corruption. Corruption: With corruption, we refer to the “abuse of public power for private gain." Perceived corruption: Given the hidden nature of corruption, direct measures are hard to come by or inherently flawed (e.g. the number of corruption convictions). Instead, we amalgamate the opinions on the level of corruption from the country’s inhabitants, companies operating there, NGOs, and officials working both in governmental and supra-governmental organizations. Composite: It combines the information from 17 different surveys and 110 different survey questions that cover the perceived level of corruption.
It is an alternative to the other well-known indicators of corruption perception: the Corruption Perception Index (CPI) published by Transparency International and the Worldwide Governance Indicators (WGI) published by the World Bank. Methodologically, it is most closely related to the latter as the methodology used in the construction of the BCI can be seen as an augmented version of the Worldwide Governance Indicators’ methodology. The augmentation allows an increase in the coverage. In contrast to the WGI or CPI, the underlying source data are entered without any ex-ante imputations, averaging or other manipulations. This results in an index representing the underlying data, unbiased by the composer’s modelling choices.
The latest version of the index is the 2023 version. It covers 221 countries from 1984 to 2021. For replicatability's sake, the older index versions are also made available. The 2014 version of the index is available for 219 countries from 1984 to 2014 The 2018 version of the index is available for 219 countries from 1984 to 2017
Please cite as: Samuel Standaert (2015) "Divining the Level of Corruption: a Bayesian State Space Approach", Journal of Comparative Economics, 43 (3) 782-803. DOI: 10.1016/j.jce.2014.05.007
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This dataset provides values for CORRUPTION INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterIn 2024, Ecuador's corruption perception index totaled 32 points. In comparison to 2020, this score represents a five points decrease. This index is a composite indicator that includes data on the perception of corruption in areas such as bribery of public officials, kickbacks in public procurement, embezzlement of state funds, and effectiveness of governments' anti-corruption efforts. The worst possible score in corruption perception is 0, whereas a score of 100 indicates that no corruption is perceived in the respective country.
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United States US: Control of Corruption: Estimate data was reported at 1.381 NA in 2017. This records an increase from the previous number of 1.373 NA for 2016. United States US: Control of Corruption: Estimate data is updated yearly, averaging 1.397 NA from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 1.924 NA in 2002 and a record low of 1.269 NA in 2011. United States US: Control of Corruption: Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WGI: Country Governance Indicators. Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as 'capture' of the state by elites and private interests. Estimate gives the country's score on the aggregate indicator, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5.
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TwitterIn Venezuela, the corruption perception index score declined from 18 points in 2018 to 10 points in 2024. In the latter year, the country received the worst corruption perception grade since at least 2012. Venezuela is the nation with the highest perceived corruption in Latin America. The worst possible score is 0, whereas a score of 100 would indicate that no corruption is perceived in the respective country. This index is a composite indicator that includes data on the perception of corruption in areas such as bribery of public officials, kickbacks in public procurement, embezzlement of state funds, and effectiveness of governments' anti-corruption efforts.
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TwitterIn Mexico, the corruption perception index score remained stable at 31 points from 2020 to 2023. Mexico ranked in the lower table of Latin American countries on their perceived corruption index score. The worst possible score in perception of corruption is 0, whereas a score of 100 indicates that no corruption is perceived in the respective country. This index is a composite indicator that includes data on the perception of corruption in areas such as bribery of public officials, kickbacks in public procurement, embezzlement of state funds, and effectiveness of governments' anti-corruption efforts.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is NOT a reflection of my personal views.
The Corruption Perceptions Index (CPI) is the most widely used global corruption ranking in the world. It measures how corrupt each country’s public sector is perceived to be, according to experts and businesspeople (source).
Each country’s score is a combination of at least 3 data sources drawn from 13 different corruption surveys and assessments. These data sources are collected by a variety of reputable institutions, including the World Bank and the World Economic Forum (source).
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