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Corruption in the Kosovo

The "Corruption Perceptions Index" for the public sector showed 64 points in the Kosovo for 2020. The scale has a range from 0 to 100, in which corruption raises, the higher the number is. With this result the Kosovo ranks 108th. So, compared to other countries it is slightly below average.

Compared to the previous year, in 2020 the level of corruption slightly raised. In the long term, it has nevertheless 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: Kosovo

Development of corruption in the Kosovo 2010 - 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 the Kosovo: Parliamentary republic). Similarly, higher corruption occurs predominantly in low-income countries. In the Kosovo, per capita income is 4,440 US$ annually, which is relatively low by global standards. The cost of living is well below the global average, indicating massive socioeconomic problems.

Development of the corruption index in the Kosovo 2010 - 2020

YearKosovoØ EuropeØ worldwide
20206441.256.7
20166440.857.1
20156740.557.5
20146741.656.8
20136742.257.4
20126642.456.8
20117144.159.7
20107244.059.9


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 the Kosovo is 36 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.