Corruption Perceptions Index

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Since 1995, Transparency International has published an annual Index of perception of corruption ordering the countries of the world according to "the degree to which corruption is perceived to exist among public officials and politicians."[1] The organization defines corruption as "the abuse of public office for private gain".[2]

Overview of the index of perception of corruption

The 2003 poll covered 133 countries; the 2005 survey, 159. The results show seven out of every ten countries (and nine out of every ten developing countries) with an index of less than 5 points out of 10.

Methods and interpretation

TI claims that the CPI 2005 draws on "16 different polls and surveys from 10 independent institutions… The institutions who provided data for the CPI 2005 are: Columbia University, Economist Intelligence Unit, Freedom House, Information International, International Institute for Management Development, Merchant International Group, Political and Economic Risk Consultancy, United Nations Economic Commission for Africa, World Economic Forum and World Markets Research Centre." Early CPIs used public opinion surveys, but now only "experts" are used. TI requires at least three sources to be available in order to rank a country in the CPI. [3]

TI writes in their FAQ on the CPI that "residents' viewpoints correlate well with those of experts abroad. In the past, the experts surveyed in the CPI sources were often business people from industrialised countries; the viewpoint of less developed countries was underrepresented. This has changed over time, giving increasingly voice to respondents from emerging market economies."[4]

As this index is based on polls, the results are subjective and are less reliable for countries with fewer sources. Also, what is legally defined, or perceived, to be corruption differs between jurisdictions: a political donation legal in some jurisdiction may be illegal in another; a matter viewed as acceptable tipping in one country may be viewed as bribery in another. Thus the poll results must be understood quite specifically as measuring public perception rather than being an objective measure of corruption.

Statistics like this are necessarily imprecise; statistics from different years are not necessarily comparable. The ICCR itself explains, "…year-to-year changes in a country's score result not only from a changing perception of a country's performance but also from a changing sample and methodology. Each year, some sources are not updated and must be dropped from the CPI, while new, reliable sources are added. With differing respondents and slightly differing methodologies, a change in a country's score may also relate to the fact that different viewpoints have been collected and different questions been asked… [despite] anti-corruption reform… [or] recent exposure of corruption scandals… [i]t is often difficult to improve a CPI score over a short time period, such as one or two years. The CPI is based on data from the past three years (for more on this, see the question on the sources of data, below). This means that a change in perceptions of corruption would only emerge in the index over longer periods of time."[5]

Numerical listing

Country or Region 2001 Survey 2002 Survey 2003 Survey 2005 Survey
Index Rank Index Rank Index Rank Index Rank
Iceland 9.2 4/91 9.4 4/102 9.6 2/133 9.7 1/159
Finland 9.9 1/91 9.7 1/102 9.7 1/133 9.6 2/159
New Zealand 9.4 3/91 9.5 2/102 9.5 3/133 9.6 2/159
Denmark 9.5 2/91 9.5 2/102 9.5 3/133 9.5 4/159
Singapore 9.2 4/91 9.3 5/102 9.4 5/133 9.4 5/159
Sweden 9.0 6/91 9.3 5/102 9.3 6/133 9.2 6/159
Switzerland 8.4 12/91 8.5 12/102 8.8 8/133 9.1 7/159
Norway 8.6 10/91 8.5 12/102 8.8 8/133 8.9 8/159
Australia 8.5 11/91 8.6 11/102 8.8 8/133 8.8 9/159
Austria 7.8 15/91 7.8 15/102 8.0 14/133 8.7 10/159
Netherlands 8.8 8/91 9.0 7/102 8.9 7/133 8.6 11/159
United Kingdom 8.3 13/91 8.7 10/102 8.7 11/133 8.6 11/159
Luxembourg 8.7 9/91 9.0 7/102 8.7 11/133 8.5 13/159
Canada 8.9 7/91 9.0 7/102 8.7 11/133 8.4 14/159
Hong Kong 7.9 14/91 8.2 14/102 8.0 14/133 8.3 15/159
Germany 7.4 20/91 7.3 18/102 7.7 16/133 8.2 16/159
United States 7.6 16/91 7.7 16/102 7.5 18/133 7.6 17/159
France 6.7 23/91 6.3 25/102 6.9 23/133 7.5 18/159
Belgium 6.6 24/91 7.1 20/102 7.6 17/133 7.4 19/159
Ireland 7.5 18/91 6.9 23/102 7.5 18/133 7.4 19/159
Chile 7.5 18/91 7.5 17/102 7.4 20/133 7.3 21/159
Japan 7.1 21/91 7.1 20/102 7.0 21/133 7.3 21/159
Spain 7.0 22/91 7.1 20/102 6.9 23/133 7.0 23/159
Barbados 6.9 24/159
Malta 6.6 25/159
Portugal 6.3 25/91 6.3 25/102 6.6 25/133 6.5 26/159
Estonia 5.6 28/91 5.6 29/102 5.5 33/133 6.4 27/159
Israel 7.6 16/91 7.3 18/102 7.0 21/133 6.3 28/159
Oman 6.3 26/133 6.3 28/159
United Arab Emirates 5.2 37/133 6.2 30/159
Slovenia 5.2 34/91 6.0 27/102 5.9 29/133 6.1 31/159
Botswana 6.0 26/91 6.4 24/102 5.7 30/133 5.9 32/159
Rep. of China (Taiwan) 5.9 27/91 5.6 29/102 5.7 30/133 5.9 32/159
Qatar 5.6 32/133 5.9 32/159
Uruguay 5.1 35/91 5.1 32/102 5.5 33/133 5.9 32/159
Bahrain 6.1 27/133 5.8 36/159
Cyprus 6.1 27/133 5.7 37/159
Jordan 4.9 37/91 4.5 40/102 4.6 43/133 5.7 37/159
Malaysia 5.0 36/91 4.9 33/102 5.2 37/133 5.1 39/159
Italy 5.5 29/91 5.2 31/102 5.3 35/133 5.0 40/159
Hungary 5.3 31/91 4.9 33/102 4.8 40/133 5.0 40/159
South Korea 4.2 42/91 4.5 40/102 4.3 50/133 5.0 40/159
Tunisia 5.3 31/91 4.8 36/102 4.9 39/133 4.9 43/159
Lithuania 4.8 38/91 4.8 36/102 4.7 41/133 4.8 44/159
Kuwait 5.3 35/133 4.7 45/159
South Africa 4.8 38/91 4.8 36/102 4.4 48/133 4.5 46/159
Namibia 5.4 30/91 5.7 28/102 4.7 41/133 4.3 47/159
Greece 4.2 42/91 4.2 44/102 4.3 50/133 4.3 47/159
Czech Republic 3.9 47/91 3.7 52/102 3.9 54/133 4.3 47/159
Slovakia 3.7 59/133 4.3 47/159
Mauritius 4.5 40/91 4.5 40/102 4.4 48/133 4.2 51/159
Costa Rica 4.5 40/91 4.5 40/102 4.3 50/133 4.2 51/159
Latvia 3.4 59/91 3.7 52/102 3.8 57/133 4.2 51/159
El Salvador 3.6 54/91 3.4 62/102 3.7 59/133 4.2 51/159
Bulgaria 3.9 47/91 4.0 45/102 3.9 54/133 4.0 55/159
Colombia 3.8 50/91 3.6 57/102 3.7 59/133 4.0 55/159
Fiji 4.0 55/159
Seychelles 4.0 55/159
Cuba 4.6 43/133 3.8 59/159
Thailand 3.2 61/91 3.2 64/102 3.3 70/133 3.8 59/159
Trinidad and Tobago 4.6 43/133 3.8 59/159
Belize 4.5 46/133 3.7 62/159
Brazil 4.0 46/91 4.0 45/102 3.9 54/133 3.7 62/159
Jamaica 4.0 45/102 3.8 57/133 3.6 64/159
Ghana 3.4 59/91 3.9 50/102 3.3 70/133 3.5 65/159
Mexico 3.7 51/91 3.6 57/102 3.6 64/133 3.5 65/159
Panama 3.7 51/91 3.0 67/102 3.4 66/133 3.5 65/159
Peru 4.1 44/91 4.0 45/102 3.7 59/133 3.5 65/159
Turkey 3.6 54/91 3.2 64/102 3.1 77/133 3.5 65/159
Burkina Faso 3.4 70/159
Croatia 3.9 47/91 3.8 51/102 3.7 59/133 3.4 70/159
Egypt 3.6 54/91 3.4 62/102 3.3 70/133 3.4 70/159
Lesotho 3.4 70/159
Poland 4.1 44/91 4.0 45/102 3.6 64/133 3.4 70/159
Saudi Arabia 4.5 46/133 3.4 70/159
Syria 3.4 66/133 3.4 70/159
Laos 3.3 77/159
PRC (Mainland China) 3.5 57/91 3.5 59/102 3.4 66/133 3.2 78/159
Morocco 3.7 52/102 3.3 70/133 3.2 78/159
Senegal 2.9 65/91 3.1 66/102 3.2 76/133 3.2 78/159
Sri Lanka 3.7 52/102 3.4 66/133 3.2 78/159
Suriname 3.2 78/159
Lebanon 3.0 78/133 3.1 83/159
Rwanda 3.1 83/159
Dominican Republic 3.3 70/133 3.0 85/159
Mongolia 3.0 85/159
Romania 2.8 69/91 2.6 77/102 2.8 83/133 3.0 85/159
Armenia 3.0 78/133 2.9 88/159
Benin 2.9 88/159
Bosnia-Herzegovina 3.3 70/133 2.9 88/159
Gabon 2.9 88/159
India 2.7 71/91 2.7 71/102 2.8 83/133 2.9 88/159
Iran 3.0 78/133 2.9 88/159
Mali 3.0 78/133 2.9 88/159
Moldavia 3.1 63/91 2.1 93/102 2.4 100/133 2.9 88/159
Tanzania 2.2 82/91 2.7 71/102 2.5 92/133 2.9 88/159
Algeria 2.6 88/133 2.8 97/159
Argentina 3.5 57/91 2.8 70/102 2.5 92/133 2.8 97/159
Madagascar 1.7 98/102 2.6 88/133 2.8 97/159
Malawi 3.2 61/91 2.9 68/102 2.8 83/133 2.8 97/159
Mozambique 2.7 86/133 2.8 97/159
Serbia and Montenegro 2.3 106/133 2.8 97/159
Gambia 2.5 92/133 2.7 103/159
Macedonia 2.3 106/133 2.7 103/159
Swaziland 2.7 103/159
Yemen 2.9 65/91 2.7 71/102 2.6 88/133 2.7 103/159
Belarus 4.8 36/102 4.2 53/133 2.6 107/159
Eritrea 2.6 107/159
Honduras 2.7 71/91 2.7 71/102 2.3 106/133 2.6 107/159
Kazakstan 2.7 71/91 2.3 88/102 2.4 100/133 2.6 107/159
Nicaragua 2.4 77/91 2.5 81/102 2.6 88/133 2.6 107/159
Palestine 3.0 78/133 2.6 107/159
Ukraine 2.1 83/91 2.4 85/102 2.3 106/133 2.6 107/159
Vietnam 2.6 75/91 2.4 85/102 2.4 100/133 2.6 107/159
Zambia 2.6 75/91 2.6 77/102 2.5 92/133 2.6 107/159
Zimbabwe 2.9 65/91 2.7 71/102 2.3 106/133 2.6 107/159
Afghanistan 2.5 117/159
Bolivia 2.0 84/91 2.2 89/102 2.3 106/133 2.5 117/159
Ecuador 2.3 79/91 2.2 89/102 2.2 113/133 2.5 117/159
Guatemala 2.9 65/91 2.5 81/102 2.4 100/133 2.5 117/159
Guyana 2.5 117/159
Libya 2.1 118/133 2.5 117/159
Nepal 2.5 117/159
Philippines 2.9 65/91 2.6 77/102 2.5 92/133 2.5 117/159
Uganda 1.9 88/91 2.1 93/102 2.2 113/133 2.5 117/159
Albania 2.5 81/102 2.5 92/133 2.4 126/159
Niger 2.4 126/159
Russia 2.3 79/91 2.7 71/102 2.7 86/133 2.4 126/159
Sierra Leone 2.2 113/133 2.4 126/159
Burundi 2.3 130/159
Cambodia 2.3 130/159
Rep. of the Congo 2.2 113/133 2.3 130/159
Georgia 2.4 85/102 1.8 124/133 2.3 130/159
Kirghizstan 2.1 118/133 2.3 130/159
Papua New Guinea 2.1 118/133 2.3 130/159
Venezuela 2.8 69/91 2.5 81/102 2.4 100/133 2.3 130/159
Azerbaijan 2.0 84/91 2.0 95/102 1.8 124/133 2.2 137/159
Cameroon 2.0 84/91 2.2 89/102 1.8 124/133 2.2 137/159
Ethiopia 3.5 59/102 2.5 92/133 2.2 137/159
Indonesia 1.9 88/91 1.9 96/102 1.9 122/133 2.2 137/159
Iraq 2.2 113/133 2.2 137/159
Liberia 2.2 137/159
Uzbekistan 2.7 71/91 2.9 68/102 2.4 100/133 2.2 137/159
Dem. Rep. of the Congo 2.1 144/159
Kenya 2.0 84/91 1.9 96/102 1.9 122/133 2.1 144/159
Pakistan 2.3 79/91 2.6 77/102 2.5 92/133 2.1 144/159
Paraguay 1.7 98/102 1.6 129/133 2.1 144/159
Somalia 2.1 144/159
Sudan 2.3 106/133 2.1 144/159
Tajikistan 1.8 124/133 2.1 144/159
Angola 1.7 98/102 1.8 124/133 2.0 151/159
Côte d'Ivoire 2.1 118/133 1.9 152/159
Equatorial Guinea 1.9 152/159
Nigeria 1.0 90/91 1.6 101/102 1.4 132/133 1.9 152/159
Haiti 2.2 89/102 1.5 131/133 1.8 155/159
Myanmar 1.6 129/133 1.8 155/159
Turkmenistan 1.8 155/159
Bangladesh 0.4 91/91 1.2 102/102 1.3 133/133 1.7 158/159
Chad 1.7 158/159

References

See also

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