Reorganization proceedings index (0-3) (DB15-20 methodology) by country
The reorganization proceedings index has three components: (i) whether the reorganization plan is voted on only by the creditors whose rights are modified or affected by the plan; (ii) whether creditors entitled to vote on the plan are divided into classes, each class votes separately and the creditors within each...
What the numbers show
Reorganization proceedings index (0-3) (DB15-20 methodology) is currently reported for 136 countries. The highest value is 3 DB15-20 methodology in Albania; the lowest is 0 DB15-20 methodology in India.
The median across all reporting countries is 1 DB15-20 methodology, and the mean is 1.4 DB15-20 methodology.
Reorganization proceedings index (0-3): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Bosnia and Herzegovina | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Czechia | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Germany | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Micronesia (country) | 3 DB15-20 methodology | 2019 | unchanged | rising |
| 1 | Croatia | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Italy | 3 DB15-20 methodology | 2019 | unchanged | rising |
| 1 | Japan | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Kenya | 3 DB15-20 methodology | 2019 | — | volatile |
| 1 | Cambodia | 3 DB15-20 methodology | 2019 | unchanged | volatile |
| 1 | South Korea | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | North Macedonia | 3 DB15-20 methodology | 2019 | up 50.0% | rising |
| 1 | Montenegro | 3 DB15-20 methodology | 2019 | up 50.0% | rising |
| 1 | Philippines | 3 DB15-20 methodology | 2019 | up 200.0% | rising |
| 1 | Poland | 3 DB15-20 methodology | 2019 | up 20.0% | rising |
| 1 | Puerto Rico | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Portugal | 3 DB15-20 methodology | 2019 | unchanged | rising |
| 1 | Rwanda | 3 DB15-20 methodology | 2019 | — | volatile |
| 1 | Serbia | 3 DB15-20 methodology | 2019 | up 50.0% | volatile |
| 1 | Slovakia | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Thailand | 3 DB15-20 methodology | 2019 | up 20.0% | rising |
| 1 | United States | 3 DB15-20 methodology | 2019 | unchanged | flat |
| 1 | Kosovo | 3 DB15-20 methodology | 2019 | — | volatile |
| 1 | Kosovo (UNSCR 1244) | 3 DB15-20 methodology | 2019 | — | volatile |
| 25 | Bulgaria | 2.5 DB15-20 methodology | 2019 | unchanged | flat |
| 25 | China | 2.5 DB15-20 methodology | 2019 | unchanged | volatile |
| 25 | Finland | 2.5 DB15-20 methodology | 2019 | unchanged | flat |
| 25 | Greece | 2.5 DB15-20 methodology | 2019 | unchanged | volatile |
| 25 | Latvia | 2.5 DB15-20 methodology | 2019 | — | volatile |
| 25 | Moldova | 2.5 DB15-20 methodology | 2019 | unchanged | flat |
| 25 | Romania | 2.5 DB15-20 methodology | 2019 | unchanged | flat |
| 32 | Afghanistan | 2 DB15-20 methodology | 2019 | — | volatile |
| 32 | United Arab Emirates | 2 DB15-20 methodology | 2019 | — | volatile |
| 32 | Argentina | 2 DB15-20 methodology | 2019 | unchanged | flat |
| 32 | Armenia | 2 DB15-20 methodology | 2019 | unchanged | rising |
| 32 | Bahrain | 2 DB15-20 methodology | 2019 | — | volatile |
| 32 | Brazil | 2 DB15-20 methodology | 2019 | unchanged | rising |
| 32 | Chile | 2 DB15-20 methodology | 2019 | — | volatile |
| 32 | Spain | 2 DB15-20 methodology | 2019 | unchanged | rising |
| 32 | Estonia | 2 DB15-20 methodology | 2019 | unchanged | volatile |
| 32 | Israel | 2 DB15-20 methodology | 2019 | up 100.0% | rising |
| 32 | Kyrgyzstan | 2 DB15-20 methodology | 2019 | unchanged | flat |
| 32 | Nepal | 2 DB15-20 methodology | 2019 | unchanged | volatile |
| 32 | Saudi Arabia | 2 DB15-20 methodology | 2019 | — | volatile |
| 32 | Slovenia | 2 DB15-20 methodology | 2019 | unchanged | flat |
| 32 | Vietnam | 2 DB15-20 methodology | 2019 | up 100.0% | volatile |
| 47 | Azerbaijan | 1.5 DB15-20 methodology | 2019 | up 50.0% | rising |
| 47 | Brunei | 1.5 DB15-20 methodology | 2019 | — | volatile |
| 47 | Cyprus | 1.5 DB15-20 methodology | 2019 | — | volatile |
| 47 | Djibouti | 1.5 DB15-20 methodology | 2019 | up 50.0% | falling |
| 47 | Ireland | 1.5 DB15-20 methodology | 2019 | unchanged | flat |
| 47 | Kazakhstan | 1.5 DB15-20 methodology | 2019 | unchanged | flat |
| 47 | Morocco | 1.5 DB15-20 methodology | 2019 | — | volatile |
| 47 | Mexico | 1.5 DB15-20 methodology | 2019 | up 200.0% | volatile |
| 47 | Mozambique | 1.5 DB15-20 methodology | 2019 | — | volatile |
| 47 | Pakistan | 1.5 DB15-20 methodology | 2019 | — | volatile |
| 47 | Turkey | 1.5 DB15-20 methodology | 2019 | up 50.0% | rising |
| 58 | Austria | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Burundi | 1 DB15-20 methodology | 2019 | unchanged | rising |
| 58 | Belgium | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Bolivia | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Barbados | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Canada | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Switzerland | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Cape Verde | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Denmark | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Algeria | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Egypt | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | France | 1 DB15-20 methodology | 2019 | up 100.0% | rising |
| 58 | United Kingdom | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Gambia | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Grenada | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Iceland | 1 DB15-20 methodology | 2019 | up 100.0% | rising |
| 58 | Jamaica | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Saint Kitts and Nevis | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Netherlands | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Norway | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Paraguay | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Russia | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | San Marino | 1 DB15-20 methodology | 2019 | unchanged | rising |
| 58 | Suriname | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Sweden | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | East Timor | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Trinidad and Tobago | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Tanzania | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Uruguay | 1 DB15-20 methodology | 2019 | unchanged | flat |
| 58 | Saint Vincent and the Grenadines | 1 DB15-20 methodology | 2019 | — | volatile |
| 58 | Samoa | 1 DB15-20 methodology | 2019 | unchanged | volatile |
| 89 | Australia | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Benin | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Burkina Faso | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Belarus | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Central African Republic | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Cote d'Ivoire | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Cameroon | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Democratic Republic of Congo | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Congo | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Colombia | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Comoros | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Dominican Republic | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Gabon | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Guinea | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Guinea-Bissau | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Equatorial Guinea | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Hungary | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Indonesia | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Jordan | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Laos | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Liberia | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Sri Lanka | 0.5 DB15-20 methodology | 2019 | unchanged | volatile |
| 89 | Lithuania | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Luxembourg | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Madagascar | 0.5 DB15-20 methodology | 2019 | unchanged | falling |
| 89 | Mali | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Mongolia | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Mauritius | 0.5 DB15-20 methodology | 2019 | unchanged | volatile |
| 89 | Malawi | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Malaysia | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Niger | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | New Zealand | 0.5 DB15-20 methodology | 2019 | unchanged | volatile |
| 89 | Panama | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Peru | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Senegal | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Singapore | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | South Sudan | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Seychelles | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Chad | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Togo | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Tajikistan | 0.5 DB15-20 methodology | 2019 | unchanged | rising |
| 89 | Uganda | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Ukraine | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Uzbekistan | 0.5 DB15-20 methodology | 2019 | unchanged | rising |
| 89 | South Africa | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 89 | Zimbabwe | 0.5 DB15-20 methodology | 2019 | — | volatile |
| 89 | Taiwan | 0.5 DB15-20 methodology | 2019 | unchanged | flat |
| 136 | India | 0 DB15-20 methodology | 2019 | — | volatile |
About this data
The reorganization proceedings index has three components: (i) whether the reorganization plan is voted on only by the creditors whose rights are modified or affected by the plan; (ii) whether creditors entitled to vote on the plan are divided into classes, each class votes separately and the creditors within each class are treated equally; and (iii) whether the insolvency framework requires that dissenting creditors receive as much under the reorganization plan as they would have received in liquidation.