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Corruption in Brunei

The "Corruption Perceptions Index" for the public sector showed 40 points in Brunei for 2020. The scale has a range from 0 to 100. The more corruption rises, the higher the number is. With this result Brunei ranks 36th. So, compared to other countries, it is at an average.

Compared to the previous year, in 2020, the level of corruption remained unchanged. In the long term, it has declined moderately in recent years.

The United States are in 26th place with a score of 33. The ranking is led by Denmark, with a value of 12. The sad last place is occupied by South Sudan (88 points).

You can find the complete country comparison here: International Ranking of Corruption


Back to overview: Brunei

Corruption in Brunei 2009 - 2020


The causes of corruption lie in part in political and cultural reasons. Ineffective law enforcement may further promote it. It is striking that it is regularly lower in democratically governed countries (form of government in Brunei: Absolute monarchy/sultanate). Similarly, higher corruption occurs predominantly in low-income countries. In Brunei, per capita income is 30,320 USD annually, which is very high by global standards. The comparatively low cost of living indicates low prosperity and socioeconomic problems.

Development of the corruption index in Brunei 2009 - 2020

YearBruneiØ AsiaØ worldwide
20204058.556.7
20194059.256.8
20183760.056.9
20173860.056.9
20164260.657.1
20144560.556.8
20134061.057.4
20124560.756.8
20114862.559.7
20104562.359.9
20094562.659.7


Note on the Corruption Perceptions Index

Money launderingThe data is determined annually by Transparency International. In 2020, the index was calculated for 180 countries from all continents. The original index shows the figures exactly the other way round and assigns higher values for lower corruption. So the official score for Brunei is 60 points in 2020, which would actually make it an anti-corruption index because as the score increases, corruption decreases. These numbers have been inverted here for better comprehensibility and easier visual acquisition of the graphs.

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