Australia's Corruption Perceptions Index

LEVEL OF CORRUPTION PERCEPTION (2022)

Governments sometimes manipulate GDP data. For example GDP data can be manipulated through the calculation of price indexes. They can stop publishing important data prior to elections. They try to abolish independent statistics bureaus. They try to add questions that will bias responses to Census data. They leave in place price indexes known to be unreliable and impacting heavily and negatively on crucial pensions systems and so on.

The Transparency International Corruptions Perception rankings are used as a proxy for assessing the level of government corruption for each economy.

World Economics has converted the ranking data into an index on the scale from 0-100 where 0 is absolute corruption and 100 is no perception of government corruption.

Australia's level of Corruption Perception is 83.3 against a global average of 48.4.

Australia's data is highlighted in the table below, use the filter and sort order options to allow easy comparison with other countries.

Data source: Transparency International, Berlin, Index calculations by World Economics


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Corruption Perceptions: World Economics
Corruption
Index (0-100)		 World Economics
Corruption
Grade A-E





Afghanistan 26.7 E
Albania 40.0 C
Algeria 36.7 D
Angola 36.7 D
Argentina 42.2 C
Armenia 51.1 B
Australia 83.3 A
Austria 78.9 A
Azerbaijan 25.6 E
Bahamas, The 71.1 A
Bahrain 48.9 B
Bangladesh 27.8 E
Belarus 43.3 C
Belgium 81.1 A
Benin 47.8 B
Bhutan 75.6 A
Bolivia 34.4 D
Bosnia and Herzegovina 37.8 D
Botswana 66.7 B
Brazil 42.2 C
Bulgaria 47.8 B
Burkina Faso 46.7 C
Burundi 18.9 E
Cabo Verde 66.7 B
Cambodia 26.7 E
Cameroon 28.9 E
Canada 82.2 A
Central African Republic 26.7 E
Chad 21.1 E
Chile 74.4 A
China 50.0 B
Colombia 43.3 C
Comoros 21.1 E
Congo, Dem. Rep 22.2 E
Congo, Rep. 23.3 E
Costa Rica 60.0 B
Cote d'Ivoire 41.1 C
Croatia 55.6 B
Cyprus 57.8 B
Czech Republic 62.2 B
Denmark 100.0 A
Dominican Republic 35.6 D
Ecuador 40.0 C
Egypt 33.3 D
El Salvador 36.7 D
Estonia 82.2 A
Eswatini 33.3 D
Ethiopia 42.2 C
Finland 96.7 A
France 80.0 A
Gabon 32.2 D
Gambia 37.8 D
Georgia 62.2 B
Germany 87.8 A
Ghana 47.8 C
Greece 57.8 B
Guatemala 26.7 E
Guinea 27.8 E
Guinea-Bissau 23.3 E
Guyana 44.4 C
Haiti 18.9 E
Honduras 25.6 E
Hong Kong 84.4 A
Hungary 46.7 C
Iceland 82.2 A
India 44.4 C
Indonesia 37.8 D
Ireland 85.6 A
Israel 70.0 A
Italy 62.2 B
Jamaica 48.9 B
Japan 81.1 A
Jordan 52.2 B
Kazakhstan 40.0 C
Kenya 35.6 D
Korea, Rep. 70.0 A
Kuwait 46.7 C
Kyrgyzstan 30.0 D
Laos 34.4 D
Latvia 65.6 B
Lebanon 26.7 E
Lesotho 41.1 C
Liberia 28.9 E
Libya 18.9 E
Lithuania 68.9 A
Luxembourg 85.6 A
Madagascar 28.9 E
Malawi 37.8 D
Malaysia 52.2 B
Mali 31.1 D
Malta 56.7 B
Mauritania 33.3 D
Mauritius 55.6 B
Mexico 34.4 D
Moldova 43.3 C
Mongolia 36.7 D
Morocco 42.2 C
Mozambique 28.9 E
Myanmar 25.6 E
Namibia 54.4 B
Nepal 37.8 D
Netherlands 88.9 A
New Zealand 96.7 A
Nicaragua 21.1 E
Niger 35.6 D
Nigeria 26.7 E
North Macedonia 44.4 C
Norway 93.3 A
Oman 48.9 B
Pakistan 30.0 E
Panama 40.0 C
Papua New Guinea 33.3 D
Paraguay 31.1 D
Peru 40.0 C
Philippines 36.7 D
Poland 61.1 B
Portugal 68.9 B
Qatar 64.4 B
Romania 51.1 B
Russia 31.1 D
Rwanda 56.7 B
Saudi Arabia 56.7 B
Senegal 47.8 C
Serbia 40.0 C
Sierra Leone 37.8 D
Singapore 92.2 A
Slovak Republic 58.9 B
Slovenia 62.2 B
South Africa 47.8 C
Spain 66.7 B
Sri Lanka 40.0 C
Sudan 24.4 E
Suriname 44.4 C
Sweden 92.2 A
Switzerland 91.1 A
Taiwan 75.6 A
Tajikistan 26.7 E
Tanzania 42.2 C
Thailand 40.0 C
Togo 33.3 D
Trinidad and Tobago 46.7 C
Tunisia 44.4 C
Turkey 40.0 D
Turkmenistan 21.1 E
Uganda 28.9 E
Ukraine 36.7 D
United Arab Emirates 74.4 A
United Kingdom 81.1 A
United States 76.7 A
Uruguay 82.2 A
Uzbekistan 34.4 D
Vietnam 46.7 C
Yemen, Rep. 17.8 E
Zambia 36.7 D
Zimbabwe 25.6 E



Key:
Corruption Perceptions Index numbers shown on a scale of 0-100.
         0 = High levels of corruption, 100 = Low levels of corruption.


Data quality rating definitions:
         A: As good as it gets
         B: Good
         C: Use with caution
         D: Poor
         E: Extremely poor quality



See: Data for individual countries and underlying data click on the country name
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