Paying taxes: Time to comply with corporate income tax correction (hours) (DB17-20 methodology) by country
The time to comply with a corporate income tax correction measures the time spent preparing and submitting the correction, and the time spent preparing information for the tax officers, if, in 25% or more of cases, a company that voluntarily reports an error in its CIT return and an underpayment of the tax due...
What the numbers show
Paying taxes: Time to comply with corporate income tax correction (hours) (DB17-20 methodology) is currently reported for 181 countries. The highest value is 137 DB17-20 methodology in Brunei; the lowest is 1 DB17-20 methodology in Portugal.
The median across all reporting countries is 7 DB17-20 methodology, and the mean is 14.67 DB17-20 methodology.
The gap between the highest and lowest reporting country is a factor of about 137.
Paying taxes: Time to comply with corporate income tax correction: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brunei | 137 DB17-20 methodology | 2019 | — | flat |
| 2 | Afghanistan | 111 DB17-20 methodology | 2019 | — | falling |
| 3 | Iraq | 83 DB17-20 methodology | 2019 | — | flat |
| 4 | Kiribati | 81 DB17-20 methodology | 2019 | — | flat |
| 5 | Saudi Arabia | 69 DB17-20 methodology | 2019 | — | flat |
| 6 | Pakistan | 67.5 DB17-20 methodology | 2019 | — | flat |
| 7 | Central African Republic | 66 DB17-20 methodology | 2019 | — | flat |
| 8 | Sudan | 60 DB17-20 methodology | 2019 | — | flat |
| 9 | Dominican Republic | 59.5 DB17-20 methodology | 2019 | — | flat |
| 10 | East Timor | 54.5 DB17-20 methodology | 2019 | — | flat |
| 11 | Trinidad and Tobago | 54 DB17-20 methodology | 2019 | — | flat |
| 12 | Chad | 46 DB17-20 methodology | 2019 | — | flat |
| 13 | Guinea | 43 DB17-20 methodology | 2019 | — | flat |
| 14 | Niger | 41.5 DB17-20 methodology | 2019 | — | flat |
| 15 | Puerto Rico | 41 DB17-20 methodology | 2019 | — | flat |
| 16 | Brazil | 39 DB17-20 methodology | 2019 | — | flat |
| 17 | Bangladesh | 37 DB17-20 methodology | 2019 | — | flat |
| 17 | Togo | 37 DB17-20 methodology | 2019 | — | flat |
| 19 | Congo | 36.5 DB17-20 methodology | 2019 | — | flat |
| 19 | Croatia | 36.5 DB17-20 methodology | 2019 | — | flat |
| 21 | Iran | 32 DB17-20 methodology | 2019 | — | falling |
| 22 | Cambodia | 31 DB17-20 methodology | 2019 | — | flat |
| 23 | Chile | 30.5 DB17-20 methodology | 2019 | — | falling |
| 23 | Guyana | 30.5 DB17-20 methodology | 2019 | — | flat |
| 25 | Bosnia and Herzegovina | 30 DB17-20 methodology | 2019 | — | flat |
| 26 | Slovenia | 29 DB17-20 methodology | 2019 | — | flat |
| 27 | Mozambique | 28 DB17-20 methodology | 2019 | — | flat |
| 27 | Panama | 28 DB17-20 methodology | 2019 | — | flat |
| 29 | Nepal | 26 DB17-20 methodology | 2019 | — | flat |
| 30 | Egypt | 24.5 DB17-20 methodology | 2019 | — | flat |
| 30 | Malta | 24.5 DB17-20 methodology | 2019 | — | flat |
| 32 | Jamaica | 24 DB17-20 methodology | 2019 | — | flat |
| 33 | Democratic Republic of Congo | 23 DB17-20 methodology | 2019 | — | flat |
| 33 | Lebanon | 23 DB17-20 methodology | 2019 | — | flat |
| 35 | Saint Vincent and the Grenadines | 22.5 DB17-20 methodology | 2019 | — | flat |
| 36 | North Macedonia | 21.5 DB17-20 methodology | 2019 | — | flat |
| 36 | Kosovo | 21.5 DB17-20 methodology | 2019 | — | flat |
| 36 | Kosovo (UNSCR 1244) | 21.5 DB17-20 methodology | 2019 | — | flat |
| 39 | Kenya | 20.5 DB17-20 methodology | 2019 | — | flat |
| 39 | Malawi | 20.5 DB17-20 methodology | 2019 | — | flat |
| 41 | Kyrgyzstan | 20 DB17-20 methodology | 2019 | — | flat |
| 41 | Uganda | 20 DB17-20 methodology | 2019 | — | flat |
| 43 | Rwanda | 19 DB17-20 methodology | 2019 | — | flat |
| 44 | Mauritania | 18.5 DB17-20 methodology | 2019 | — | flat |
| 45 | Albania | 18 DB17-20 methodology | 2019 | — | flat |
| 46 | Oman | 17.5 DB17-20 methodology | 2019 | — | flat |
| 47 | Honduras | 17 DB17-20 methodology | 2019 | — | flat |
| 47 | Singapore | 17 DB17-20 methodology | 2019 | — | flat |
| 49 | Peru | 16.5 DB17-20 methodology | 2019 | — | flat |
| 50 | Laos | 16 DB17-20 methodology | 2019 | — | flat |
| 51 | Canada | 15 DB17-20 methodology | 2019 | — | flat |
| 51 | Djibouti | 15 DB17-20 methodology | 2019 | — | flat |
| 51 | Guatemala | 15 DB17-20 methodology | 2019 | — | flat |
| 54 | Tonga | 14 DB17-20 methodology | 2019 | — | flat |
| 55 | Cote d'Ivoire | 13.5 DB17-20 methodology | 2019 | — | flat |
| 55 | Gabon | 13.5 DB17-20 methodology | 2019 | — | flat |
| 55 | Madagascar | 13.5 DB17-20 methodology | 2019 | — | flat |
| 55 | Mexico | 13.5 DB17-20 methodology | 2019 | — | flat |
| 59 | Burundi | 13 DB17-20 methodology | 2019 | — | flat |
| 59 | Palestine | 13 DB17-20 methodology | 2019 | — | flat |
| 59 | San Marino | 13 DB17-20 methodology | 2019 | — | falling |
| 59 | Venezuela | 13 DB17-20 methodology | 2019 | — | flat |
| 63 | Comoros | 12 DB17-20 methodology | 2019 | — | flat |
| 63 | Fiji | 12 DB17-20 methodology | 2019 | — | flat |
| 63 | Norway | 12 DB17-20 methodology | 2019 | — | flat |
| 66 | Bulgaria | 11.5 DB17-20 methodology | 2019 | — | falling |
| 66 | Libya | 11.5 DB17-20 methodology | 2019 | — | flat |
| 66 | Senegal | 11.5 DB17-20 methodology | 2019 | — | flat |
| 69 | Malaysia | 11.25 DB17-20 methodology | 2019 | — | flat |
| 70 | Jordan | 11 DB17-20 methodology | 2019 | — | flat |
| 70 | Lesotho | 11 DB17-20 methodology | 2019 | — | flat |
| 70 | South Africa | 11 DB17-20 methodology | 2019 | — | falling |
| 73 | Thailand | 10.5 DB17-20 methodology | 2019 | — | falling |
| 73 | Tajikistan | 10.5 DB17-20 methodology | 2019 | — | flat |
| 75 | Israel | 10 DB17-20 methodology | 2019 | — | flat |
| 75 | Myanmar | 10 DB17-20 methodology | 2019 | — | flat |
| 75 | Sao Tome and Principe | 10 DB17-20 methodology | 2019 | — | flat |
| 75 | Syria | 10 DB17-20 methodology | 2019 | — | flat |
| 79 | Switzerland | 9.5 DB17-20 methodology | 2019 | — | flat |
| 79 | Montenegro | 9.5 DB17-20 methodology | 2019 | — | flat |
| 81 | Eritrea | 9 DB17-20 methodology | 2019 | — | flat |
| 81 | Equatorial Guinea | 9 DB17-20 methodology | 2019 | — | flat |
| 81 | South Korea | 9 DB17-20 methodology | 2019 | — | flat |
| 81 | Nicaragua | 9 DB17-20 methodology | 2019 | — | flat |
| 81 | Paraguay | 9 DB17-20 methodology | 2019 | — | flat |
| 86 | Samoa | 8.5 DB17-20 methodology | 2019 | — | flat |
| 87 | Ethiopia | 8 DB17-20 methodology | 2019 | — | flat |
| 87 | Finland | 8 DB17-20 methodology | 2019 | — | flat |
| 87 | United States | 8 DB17-20 methodology | 2019 | — | flat |
| 90 | Angola | 7 DB17-20 methodology | 2019 | — | flat |
| 90 | Maldives | 7 DB17-20 methodology | 2019 | — | falling |
| 90 | Mali | 7 DB17-20 methodology | 2019 | — | flat |
| 90 | Nigeria | 7 DB17-20 methodology | 2019 | — | flat |
| 94 | Gambia | 6.5 DB17-20 methodology | 2019 | — | flat |
| 94 | Guinea-Bissau | 6.5 DB17-20 methodology | 2019 | — | flat |
| 94 | Sierra Leone | 6.5 DB17-20 methodology | 2019 | — | flat |
| 94 | Taiwan | 6.5 DB17-20 methodology | 2019 | — | flat |
| 98 | Argentina | 6 DB17-20 methodology | 2019 | — | flat |
| 98 | United Kingdom | 6 DB17-20 methodology | 2019 | — | flat |
| 98 | Poland | 6 DB17-20 methodology | 2019 | — | flat |
| 98 | Russia | 6 DB17-20 methodology | 2019 | — | flat |
| 98 | South Sudan | 6 DB17-20 methodology | 2019 | — | flat |
| 103 | Belgium | 5.5 DB17-20 methodology | 2019 | — | flat |
| 103 | Colombia | 5.5 DB17-20 methodology | 2019 | — | flat |
| 103 | Haiti | 5.5 DB17-20 methodology | 2019 | — | flat |
| 103 | Uzbekistan | 5.5 DB17-20 methodology | 2019 | — | flat |
| 107 | Italy | 5 DB17-20 methodology | 2019 | — | flat |
| 107 | Suriname | 5 DB17-20 methodology | 2019 | — | rising |
| 107 | Sweden | 5 DB17-20 methodology | 2019 | — | flat |
| 107 | Tanzania | 5 DB17-20 methodology | 2019 | — | flat |
| 111 | Germany | 4.5 DB17-20 methodology | 2019 | — | flat |
| 111 | Denmark | 4.5 DB17-20 methodology | 2019 | — | flat |
| 111 | Saint Lucia | 4.5 DB17-20 methodology | 2019 | — | flat |
| 111 | Luxembourg | 4.5 DB17-20 methodology | 2019 | — | flat |
| 111 | Papua New Guinea | 4.5 DB17-20 methodology | 2019 | — | falling |
| 111 | Serbia | 4.5 DB17-20 methodology | 2019 | — | flat |
| 117 | Belize | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | Botswana | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | Grenada | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | Hungary | 4 DB17-20 methodology | 2019 | — | volatile |
| 117 | Kazakhstan | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | Namibia | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | New Zealand | 4 DB17-20 methodology | 2019 | — | flat |
| 117 | Eswatini | 4 DB17-20 methodology | 2019 | — | flat |
| 125 | Iceland | 3.75 DB17-20 methodology | 2019 | — | flat |
| 126 | Armenia | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Barbados | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Bhutan | 3.5 DB17-20 methodology | 2019 | — | rising |
| 126 | Cape Verde | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | France | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Greece | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Mongolia | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Netherlands | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Vietnam | 3.5 DB17-20 methodology | 2019 | — | flat |
| 126 | Zimbabwe | 3.5 DB17-20 methodology | 2019 | — | rising |
| 136 | Zambia | 3.25 DB17-20 methodology | 2019 | — | falling |
| 137 | Antigua and Barbuda | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Azerbaijan | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Benin | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Burkina Faso | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Cameroon | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Cyprus | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Indonesia | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | India | 3 DB17-20 methodology | 2019 | — | volatile |
| 137 | Japan | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Liberia | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Sri Lanka | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Morocco | 3 DB17-20 methodology | 2019 | — | flat |
| 137 | Ukraine | 3 DB17-20 methodology | 2019 | — | flat |
| 150 | Hong Kong | 2.75 DB17-20 methodology | 2019 | — | flat |
| 151 | Austria | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Costa Rica | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Ecuador | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Ghana | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Latvia | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Moldova | 2.5 DB17-20 methodology | 2019 | — | flat |
| 151 | Mauritius | 2.5 DB17-20 methodology | 2019 | — | falling |
| 151 | El Salvador | 2.5 DB17-20 methodology | 2019 | — | volatile |
| 151 | Uruguay | 2.5 DB17-20 methodology | 2019 | — | flat |
| 160 | Czechia | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Algeria | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Ireland | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Saint Kitts and Nevis | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Romania | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Slovakia | 2 DB17-20 methodology | 2019 | — | flat |
| 160 | Yemen | 2 DB17-20 methodology | 2019 | — | flat |
| 167 | Australia | 1.75 DB17-20 methodology | 2019 | — | flat |
| 168 | Bolivia | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Dominica | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Spain | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Estonia | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Lithuania | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Philippines | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Solomon Islands | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Seychelles | 1.5 DB17-20 methodology | 2019 | — | flat |
| 168 | Tunisia | 1.5 DB17-20 methodology | 2019 | — | falling |
| 168 | Turkey | 1.5 DB17-20 methodology | 2019 | — | flat |
| 178 | Belarus | 1 DB17-20 methodology | 2019 | — | flat |
| 178 | China | 1 DB17-20 methodology | 2019 | — | volatile |
| 178 | Georgia | 1 DB17-20 methodology | 2019 | — | flat |
| 178 | Portugal | 1 DB17-20 methodology | 2019 | — | flat |
About this data
The time to comply with a corporate income tax correction measures the time spent preparing and submitting the correction, and the time spent preparing information for the tax officers, if, in 25% or more of cases, a company that voluntarily reports an error in its CIT return and an underpayment of the tax due would be selected for additional review. The component indicator is computed based on the methodology in the DB17-20 studies.