Corruption Perceptions Index

From Wikipedia, the free encyclopedia

Overview of the index of perception of corruption, 2006
Enlarge
Overview of the index of perception of corruption, 2006

Since 1995, Transparency International has published an annual Corruption Perceptions Index (CPI) 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".[1]

The 2003 poll covered 133 countries; the 2006 survey, 163. 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.

Contents

[edit] Methods and interpretation

Transparency International commissioned Johann Graf Lambsdorff of the University of Passau to produce the Corruption Perceptions Index (CPI).[1] 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.[1]

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".[1]

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".[2]

Increasingly, the CPI is being criticized for deflecting attention from other important types of corruption in global financial centers such as New York and the City of London that deliberately attract and handle many hundreds of billions of dollars in corrupt flows of money each year from poor countries, involving capital flowing "uphill" from poor countries to rich countries, contrary to traditional economic theories.[citation needed]

[edit] Numerical listing

Country or Region 2001 Survey 2002 Survey 2003 Survey 2005 Survey 2006 Survey[3]
Index Rank Index Rank Index Rank Index Rank Index Rank
Afghanistan Afghanistan 2.5 117/159
Albania Albania 2.5 81/102 2.5 92/133 2.4 126/159 2.6 111/163
Algeria Algeria 2.6 88/133 2.8 97/159 3.1 84/163
Angola Angola 1.7 98/102 1.8 124/133 2.0 151/159 2.2 142/163
Argentina Argentina 3.5 57/91 2.8 70/102 2.5 92/133 2.8 97/159 2.9 93/163
Armenia Armenia 3.0 78/133 2.9 88/159 2.9 93/163
Australia Australia 8.5 11/91 8.6 11/102 8.8 8/133 8.8 9/159 8.7 9/163
Austria Austria 7.8 15/91 7.8 15/102 8.0 14/133 8.7 10/159 8.6 11/163
Azerbaijan Azerbaijan 2.0 84/91 2.0 95/102 1.8 124/133 2.2 137/159 2.4 130/163
Bahrain Bahrain 6.1 27/133 5.8 36/159 5.7 36/163
Bangladesh Bangladesh 0.4 91/91 1.2 102/102 1.3 133/133 1.7 158/159 2.0 156/163
Barbados Barbados 6.9 24/159 6.7 24/163
Belarus Belarus 4.8 36/102 4.2 53/133 2.6 107/159 2.1 151/163
Belgium Belgium 6.6 24/91 7.1 20/102 7.6 17/133 7.4 19/159 7.3 20/163
Belize Belize 4.5 46/133 3.7 62/159 3.5 66/163
Benin Benin 2.9 88/159 2.5 121/163
Bhutan Bhutan 6.0 32/163
Bolivia Bolivia 2.0 84/91 2.2 89/102 2.3 106/133 2.5 117/159 2.7 105/163
Bosnia and Herzegovina Bosnia-Herzegovina 3.3 70/133 2.9 88/159 2.9 93/163
Botswana Botswana 6.0 26/91 6.4 24/102 5.7 30/133 5.9 32/159 5.6 37/163
Brazil Brazil 4.0 46/91 4.0 45/102 3.9 54/133 3.7 62/159 3.3 70/163
Bulgaria Bulgaria 3.9 47/91 4.0 45/102 3.9 54/133 4.0 55/159 4.0 57/163
Burkina Faso Burkina Faso 3.4 70/159 3.2 79/163
Burundi Burundi 2.3 130/159 2.4 130/163
Cambodia Cambodia 2.3 130/159 2.1 151/163
Cameroon Cameroon 2.0 84/91 2.2 89/102 1.8 124/133 2.2 137/159 2.3 138/163
Canada Canada 8.9 7/91 9.0 7/102 8.7 11/133 8.4 14/159 8.5 14/163
Central African Republic Central African Rep. 2.4 130/163
Chad Chad 1.7 158/159 2.0 156/163
Chile Chile 7.5 18/91 7.5 17/102 7.4 20/133 7.3 21/159 7.3 20/163
Colombia Colombia 3.8 50/91 3.6 57/102 3.7 59/133 4.0 55/159 3.9 59/163
Costa Rica Costa Rica 4.5 40/91 4.5 40/102 4.3 50/133 4.2 51/159 4.1 55/163
Côte d'Ivoire Côte d'Ivoire 2.1 118/133 1.9 152/159 2.1 151/163
Croatia Croatia 3.9 47/91 3.8 51/102 3.7 59/133 3.4 70/159 3.4 69/163
Cuba Cuba 4.6 43/133 3.8 59/159 3.5 66/163
Cyprus Cyprus 6.1 27/133 5.7 37/159 5.6 37/163
Czech Republic Czech Republic 3.9 47/91 3.7 52/102 3.9 54/133 4.3 47/159 4.8 46/163
Democratic Republic of the Congo Dem. Rep. of the Congo 2.1 144/159 2.0 156/163
Denmark Denmark 9.5 2/91 9.5 2/102 9.5 3/133 9.5 4/159 9.5 4/163
Dominica Dominica 4.5 53/163
Dominican Republic Dominican Republic 3.3 70/133 3.0 85/159 2.8 99/163
Ecuador Ecuador 2.3 79/91 2.2 89/102 2.2 113/133 2.3 138/159 2.3 138/163
Egypt Egypt 3.6 54/91 3.4 62/102 3.3 70/133 3.4 70/159 3.3 70/163
El Salvador El Salvador 3.6 54/91 3.4 62/102 3.7 59/133 4.2 51/159 4.0 57/163
Equatorial Guinea Equatorial Guinea 1.9 152/159 2.1 151/163
Eritrea Eritrea 2.6 107/159 2.9 93/163
Estonia Estonia 5.6 28/91 5.6 29/102 5.5 33/133 6.4 27/159 6.7 24/163
Ethiopia Ethiopia 3.5 59/102 2.5 92/133 2.2 137/159 2.4 130/163
Fiji Fiji 4.0 55/159
Finland Finland 9.9 1/91 9.7 1/102 9.7 1/133 9.6 2/159 9.6 1/163
France France 6.7 23/91 6.3 25/102 6.9 23/133 7.5 18/159 7.4 18/163
Gabon Gabon 2.9 88/159 3.0 90/163
The Gambia Gambia 2.5 92/133 2.7 103/159 2.5 121/163
Georgia (country) Georgia 2.4 85/102 1.8 124/133 2.3 130/159 2.8 99/163
Germany Germany 7.4 20/91 7.3 18/102 7.7 16/133 8.2 16/159 8.0 16/163
Ghana Ghana 3.4 59/91 3.9 50/102 3.3 70/133 3.5 65/159 3.3 70/163
Greece Greece 4.2 42/91 4.2 44/102 4.3 50/133 4.3 47/159 4.4 54/163
Grenada Grenada 3.5 66/163
Guatemala Guatemala 2.9 65/91 2.5 81/102 2.4 100/133 2.5 117/159 2.6 111/163
Guinea Guinea 1.9 160/163
Guyana Guyana 2.5 117/159 2.5 121/163
Haiti Haiti 2.2 89/102 1.5 131/133 1.8 155/159 1.8 163/163
Honduras Honduras 2.7 71/91 2.7 71/102 2.3 106/133 2.6 107/159 2.5 121/163
Hong Kong Hong Kong 7.9 14/91 8.2 14/102 8.0 14/133 8.3 15/159 8.3 15/163
Hungary Hungary 5.3 31/91 4.9 33/102 4.8 40/133 5.0 40/159 5.2 41/163
Iceland Iceland 9.2 4/91 9.4 4/102 9.6 2/133 9.7 1/159 9.6 1/163
India India 2.7 71/91 2.7 71/102 2.8 83/133 2.9 88/159 3.3 70/163
Indonesia Indonesia 1.9 88/91 1.9 96/102 1.9 122/133 2.2 137/159 2.4 130/163
Iran Iran 3.0 78/133 2.9 88/159 2.7 105/163
Iraq Iraq 2.2 113/133 2.2 137/159 1.9 160/163
Republic of Ireland Ireland 7.5 18/91 6.9 23/102 7.5 18/133 7.4 19/159 7.4 18/163
Israel Israel 7.6 16/91 7.3 18/102 7.0 21/133 6.3 28/159 5.9 34/163
Italy Italy 5.5 29/91 5.2 31/102 5.3 35/133 5.0 40/159 4.9 45/163
Jamaica Jamaica 4.0 45/102 3.8 57/133 3.6 64/159 3.7 61/163
Japan Japan 7.1 21/91 7.1 20/102 7.0 21/133 7.3 21/159 7.6 17/163
Jordan Jordan 4.9 37/91 4.5 40/102 4.6 43/133 5.7 37/159 5.3 40/163
Kazakhstan Kazakstan 2.7 71/91 2.3 88/102 2.4 100/133 2.6 107/159 2.6 111/163
Kenya Kenya 2.0 84/91 1.9 96/102 1.9 122/133 2.1 144/159 2.2 142/163
Kuwait Kuwait 5.3 35/133 4.7 45/159 4.8 46/163
Kyrgyzstan Kyrgyzstan 2.1 118/133 2.3 130/159
Laos Laos 3.3 77/159 2.6 111/163
Latvia Latvia 3.4 59/91 3.7 52/102 3.8 57/133 4.2 51/159 4.7 49/163
Lebanon Lebanon 3.0 78/133 3.1 83/159 3.6 63/163
Lesotho Lesotho 3.4 70/159 3.2 79/163
Liberia Liberia 2.2 137/159
Libya Libya 2.1 118/133 2.5 117/159 2.7 105/163
Lithuania Lithuania 4.8 38/91 4.8 36/102 4.7 41/133 4.8 44/159 4.8 46/163
Luxembourg Luxembourg 8.7 9/91 9.0 7/102 8.7 11/133 8.5 13/159 8.6 11/163
Macao Macao 6.6 26/163
Republic of Macedonia Macedonia 2.3 106/133 2.7 103/159 2.7 105/163
Madagascar Madagascar 1.7 98/102 2.6 88/133 2.8 97/159 3.1 84/163
Malawi Malawi 3.2 61/91 2.9 68/102 2.8 83/133 2.8 97/159 2.7 105/163
Malaysia Malaysia 5.0 36/91 4.9 33/102 5.2 37/133 5.1 39/159 5.0 44/163
Mali Mali 3.0 78/133 2.9 88/159 2.8 99/163
Malta Malta 6.6 25/159 6.4 28/163
Mauritania Mauritania 3.1 84/163
Mauritius Mauritius 4.5 40/91 4.5 40/102 4.4 48/133 4.2 51/159 5.1 42/163
Mexico Mexico 3.7 51/91 3.6 57/102 3.6 64/133 3.5 65/159 3.3 70/163
Moldova Moldova 3.1 63/91 2.1 93/102 2.4 100/133 2.9 88/159 3.2 79/163
Mongolia Mongolia 3.0 85/159 2.8 99/163
Morocco Morocco 3.7 52/102 3.3 70/133 3.2 78/159 3.2 79/163
Mozambique Mozambique 2.7 86/133 2.8 97/159 2.8 99/163
Myanmar Myanmar 1.6 129/133 1.8 155/159 1.9 160/163
Namibia Namibia 5.4 30/91 5.7 28/102 4.7 41/133 4.3 47/159 4.1 55/163
Nepal Nepal 2.5 117/159 2.5 121/163
Netherlands Netherlands 8.8 8/91 9.0 7/102 8.9 7/133 8.6 11/159 8.7 9/163
New Zealand New Zealand 9.4 3/91 9.5 2/102 9.5 3/133 9.6 2/159 9.6 1/163
Nicaragua Nicaragua 2.4 77/91 2.5 81/102 2.6 88/133 2.6 107/159 2.6 111/163
Niger Niger 2.4 126/159 2.3 138/163
Nigeria Nigeria 1.0 90/91 1.6 101/102 1.4 132/133 1.9 152/159 2.2 142/163
Norway Norway 8.6 10/91 8.5 12/102 8.8 8/133 8.9 8/159 8.8 8/163
Oman Oman 6.3 26/133 6.3 28/159 5.4 39/163
Pakistan Pakistan 2.3 79/91 2.6 77/102 2.5 92/133 2.1 144/159 2.2 142/163
Palestinian National Authority Palestine 3.0 78/133 2.6 107/159
Panama Panama 3.7 51/91 3.0 67/102 3.4 66/133 3.5 65/159 3.1 84/163
Papua New Guinea Papua New Guinea 2.1 118/133 2.3 130/159 2.4 130/163
Paraguay Paraguay 1.7 98/102 1.6 129/133 2.1 144/159 2.6 111/163
Peru Peru 4.1 44/91 4.0 45/102 3.7 59/133 3.5 65/159 3.3 70/163
Philippines Philippines 2.9 65/91 2.6 77/102 2.5 92/133 2.5 117/159 2.5 121/163
Poland Poland 4.1 44/91 4.0 45/102 3.6 64/133 3.4 70/159 3.7 61/163
Portugal Portugal 6.3 25/91 6.3 25/102 6.6 25/133 6.5 26/159 6.6 26/163
People's Republic of China PRC (Mainland China) 3.5 57/91 3.5 59/102 3.4 66/133 3.2 78/159 3.3 70/163
Qatar Qatar 5.6 32/133 5.9 32/159 6.0 32/163
Republic of China Rep. of China (Taiwan) 5.9 27/91 5.6 29/102 5.7 30/133 5.9 32/159 5.9 34/163
Republic of the Congo Rep. of the Congo 2.2 113/133 2.3 130/159 2.2 142/163
Romania Romania 2.8 69/91 2.6 77/102 2.8 83/133 3.0 85/159 3.1 84/163
Russia Russia 2.3 79/91 2.7 71/102 2.7 86/133 2.4 126/159 2.5 121/163
Rwanda Rwanda 3.1 83/159 2.5 121/163
Saudi Arabia Saudi Arabia 4.5 46/133 3.4 70/159 3.3 70/163
Senegal Senegal 2.9 65/91 3.1 66/102 3.2 76/133 3.2 78/159 3.3 70/163
Serbia Serbia 3.0 90/163
Serbia and Montenegro Serbia and Montenegro 2.3 106/133 2.8 97/159
Seychelles Seychelles 4.0 55/159 3.6 63/163
Sierra Leone Sierra Leone 2.2 113/133 2.4 126/159 2.2 142/163
Singapore Singapore 9.2 4/91 9.3 5/102 9.4 5/133 9.4 5/159 9.4 5/163
Slovakia Slovakia 3.7 59/133 4.3 47/159 4.7 49/163
Slovenia Slovenia 5.2 34/91 6.0 27/102 5.9 29/133 6.1 31/159 6.4 28/163
Somalia Somalia 2.1 144/159
South Africa South Africa 4.8 38/91 4.8 36/102 4.4 48/133 4.5 46/159 4.6 51/163
South Korea South Korea 4.2 42/91 4.5 40/102 4.3 50/133 5.0 40/159 5.1 42/163
Spain Spain 7.0 22/91 7.1 20/102 6.9 23/133 7.0 23/159 6.8 23/163
Sri Lanka Sri Lanka 3.7 52/102 3.4 66/133 3.2 78/159 3.1 84/163
Sudan Sudan 2.3 106/133 2.1 144/159 2.0 156/163
Suriname Suriname 3.2 78/159 3.0 90/163
Swaziland Swaziland 2.7 103/159 2.5 121/163
Sweden Sweden 9.0 6/91 9.3 5/102 9.3 6/133 9.2 6/159 9.2 6/163
Switzerland Switzerland 8.4 12/91 8.5 12/102 8.8 8/133 9.1 7/159 9.1 7/163
Syria Syria 3.4 66/133 3.4 70/159 2.9 93/163
Tajikistan Tajikistan 1.8 124/133 2.1 144/159 2.2 142/163
Tanzania Tanzania 2.2 82/91 2.7 71/102 2.5 92/133 2.9 88/159 2.9 93/163
Thailand Thailand 3.2 61/91 3.2 64/102 3.3 70/133 3.8 59/159 3.6 63/163
East Timor Timor-Leste 2.6 111/163
Trinidad and Tobago Trinidad and Tobago 4.6 43/133 3.8 59/159 3.2 79/163
Togo Togo 2.4 130/163
Tunisia Tunisia 5.3 31/91 4.8 36/102 4.9 39/133 4.9 43/159 4.6 51/163
Turkey Turkey 3.6 54/91 3.2 64/102 3.1 77/133 3.5 65/159 3.8 60/163
Turkmenistan Turkmenistan 1.8 155/159 2.2 142/163
Uganda Uganda 1.9 88/91 2.1 93/102 2.2 113/133 2.5 117/159 2.7 105/163
Ukraine Ukraine 2.1 83/91 2.4 85/102 2.3 106/133 2.6 107/159 2.8 99/163
United Arab Emirates United Arab Emirates 5.2 37/133 6.2 30/159 6.2 31/163
United Kingdom United Kingdom 8.3 13/91 8.7 10/102 8.7 11/133 8.6 11/159 8.6 11/163
United States United States 7.6 16/91 7.7 16/102 7.5 18/133 7.6 17/159 7.3 20/163
Uruguay Uruguay 5.1 35/91 5.1 32/102 5.5 33/133 5.9 32/159 6.4 28/163
Uzbekistan Uzbekistan 2.7 71/91 2.9 68/102 2.4 100/133 2.2 137/159 2.1 151/163
Venezuela Venezuela 2.8 69/91 2.5 81/102 2.4 100/133 2.3 130/159 2.3 138/163
Vietnam Vietnam 2.6 75/91 2.4 85/102 2.4 100/133 2.6 107/159 2.6 111/163
Yemen Yemen 2.9 65/91 2.7 71/102 2.6 88/133 2.7 103/159 2.6 111/163
Zambia Zambia 2.6 75/91 2.6 77/102 2.5 92/133 2.6 107/159 2.6 111/163
Zimbabwe Zimbabwe 2.9 65/91 2.7 71/102 2.3 106/133 2.6 107/159 2.4 130/163

[edit] References

  • The table and a small amount of text came from the corresponding article in the Spanish-language wikipedia.
  1. ^ a b c d e Frequently Asked Questions: TI Corruption Perceptions Index (CPI 2005). Retrieved on 2005-11-22.
  2. ^ ICCR FAQ. Retrieved on 2005-07-04.
  3. ^ CPI 2006 table. Transparency International. Retrieved on 2006-11-17.

[edit] See also

[edit] External links