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 , 2005

The 2003 poll covered 133 countries; the 2005 survey, 159. A higher score means less (perceived) corruption. 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

Transparency International commissioned Johann Graf Lambsdorff of the University of Passau to produce the Corruption Perceptions Index (CPI).[citation needed] 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 2006 Survey
Index Rank Index Rank Index Rank Index Rank Index Rank
  Finland 9.9 1/91 9.7 1/102 9.7 1/133 9.6 2/159 9.6 1/163
  Iceland 9.2 4/91 9.4 4/102 9.6 2/133 9.7 1/159 9.6 1/163
  New Zealand 9.4 3/91 9.5 2/102 9.5 3/133 9.6 2/159 9.6 1/163
  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 5.0 44/163
  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 3.3 70/163
  Iran 3.0 78/133 2.9 88/159
  Mali 3.0 78/133 2.9 88/159
  Moldova 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 2.2 142/163
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 2.0 156/163
Chad 1.7 158/159

References

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