Main data files comprise 22 variables in three subcategories of risk (political, financial, and economic) for 146 countries for 1984-2021. Data are annual averages of the components of the ICRG Risk Ratings (Tables 3B, 4B, and 5B) published in the International Country Risk Guide. Indices include: political: government stability, socioeconomic conditions, investment profile, internal conflict, external conflict, corruption, military in politics, religion in politics, law and order, ethnic tensions, democratic accountability, and bureaucratic quality; financial: foreign debt, exchange rate stability, debt service, current account, international liquidity; and economic: inflation, GDP per head, GDP growth, budget balance, current account as % of GDP. Table 2B provides annual averages of the composite risk rating. Table 3Ba provides historical political risk subcomponents on a monthly basis from May 2001-February 2022. Also includes the IRIS-3 dataset by Steve Knack and Philip Keefer, which covers the period of 1982-1997 and computed scores for six additional political risk variables: corruption in government, rule of law, bureaucratic quality, ethnic tensions, repudiation of contracts by government, and risk of expropriation. Additional data files provide country risk ratings and databanks (economic and social indicators) for new emerging markets for 2000-2009.

The PRS Group's International Country Risk Guide provides annual risk ratings for 140 countries.

The Researcher Datasets from the PRS Group provide annual and monthly weighted average risks across countries from 1984 on a wealth of Political, Economic and Financial risk topics for 140 monitored countries. The Composite risk index is based on a possible 100 points and aggregates political, financial and economic risk using the PRS Composite Risk Rating formula.

This dataset is used for paper "Impact of the political risk on food reserve ratio: evidence across countries". We explore how the political risk impacts on food reserve ratio using an unbalanced panel data covering 75 countries from1991 to 2019. This dataset includes International Country Risk Guide ratings (ICRG) database, FAOSTAT database, Production, Supply, and Distribution (PSD) online database, Emergency Events Database (EM-DAT), and World Bank Open (WBO) database.

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/.

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This article examines how neoliberal policies mandated by the International Monetary Fund (IMF) impact on corruption in developing countries. Combining domestic political analysis with world systems and dependency theories, we hypothesize that these reforms concentrate losses on influential social groups such as businesses and civil servants, who then engage in corrupt practices to maintain their privileged positions. Using an original dataset of IMF policy reforms from 1980 to 2014, we find robust empirical support for our argument. Results of regression-based analysis demonstrate an effect of IMF policy reforms that hold across multiple samples and measure of corruption: 141 countries using a corruption control measure from the International Country Risk Guide; 70 countries on the Business Environment and Enterprise Performance Survey; and 19 countries from the International Crime Victims Survey. Our findings elucidate the link between neoliberal globalization and political capitalism, while offering important policy lessons regarding the design of IMF policy reforms.

Risk classification.