Getting credit: Distance to frontier (0-100) by country
Getting credit: Distance to the frontier denotes the distance of each economy to the “frontier,” which represents the highest performance observed on the getting credit indicator across all economies included in Doing Business. An economy’s distance to frontier is indicated on a scale from 0 to 100, where 0...
What the numbers show
Getting credit: Distance to frontier (0-100) is currently reported for 185 countries. The highest value is 100 0-100 in Brunei; the lowest is 5 0-100 in Philippines.
The median across all reporting countries is 55 0-100, and the mean is 53.92 0-100.
The gap between the highest and lowest reporting country is a factor of about 20.
Getting credit: Distance to frontier: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brunei | 100 0-100 | 2019 | — | rising |
| 1 | New Zealand | 100 0-100 | 2019 | — | flat |
| 3 | Colombia | 95 0-100 | 2019 | — | flat |
| 3 | Puerto Rico | 95 0-100 | 2019 | — | rising |
| 3 | Rwanda | 95 0-100 | 2019 | — | rising |
| 3 | United States | 95 0-100 | 2019 | — | flat |
| 3 | Zambia | 95 0-100 | 2019 | — | rising |
| 8 | Australia | 90 0-100 | 2019 | — | flat |
| 8 | Kenya | 90 0-100 | 2019 | — | rising |
| 8 | Mexico | 90 0-100 | 2019 | — | rising |
| 8 | Malawi | 90 0-100 | 2019 | — | volatile |
| 12 | Canada | 85 0-100 | 2019 | — | flat |
| 12 | Costa Rica | 85 0-100 | 2019 | — | rising |
| 12 | Georgia | 85 0-100 | 2019 | — | flat |
| 12 | Honduras | 85 0-100 | 2019 | — | flat |
| 12 | Jamaica | 85 0-100 | 2019 | — | flat |
| 12 | Latvia | 85 0-100 | 2019 | — | rising |
| 12 | North Macedonia | 85 0-100 | 2019 | — | rising |
| 12 | Montenegro | 85 0-100 | 2019 | — | flat |
| 12 | Nigeria | 85 0-100 | 2019 | — | rising |
| 12 | Kosovo | 85 0-100 | 2019 | — | rising |
| 12 | Kosovo (UNSCR 1244) | 85 0-100 | 2019 | — | rising |
| 23 | Azerbaijan | 80 0-100 | 2019 | — | rising |
| 23 | Guatemala | 80 0-100 | 2019 | — | flat |
| 23 | India | 80 0-100 | 2019 | — | rising |
| 23 | Cambodia | 80 0-100 | 2019 | — | rising |
| 23 | Mongolia | 80 0-100 | 2019 | — | rising |
| 23 | Panama | 80 0-100 | 2019 | — | rising |
| 23 | Palestine | 80 0-100 | 2019 | — | rising |
| 23 | Romania | 80 0-100 | 2019 | — | flat |
| 23 | Russia | 80 0-100 | 2019 | — | rising |
| 23 | El Salvador | 80 0-100 | 2019 | — | rising |
| 33 | United Kingdom | 75 0-100 | 2019 | — | flat |
| 33 | Hong Kong | 75 0-100 | 2019 | — | rising |
| 33 | Hungary | 75 0-100 | 2019 | — | rising |
| 33 | Kyrgyzstan | 75 0-100 | 2019 | — | rising |
| 33 | Malaysia | 75 0-100 | 2019 | — | rising |
| 33 | Peru | 75 0-100 | 2019 | — | flat |
| 33 | Poland | 75 0-100 | 2019 | — | flat |
| 33 | Singapore | 75 0-100 | 2019 | — | flat |
| 33 | Turkey | 75 0-100 | 2019 | — | rising |
| 33 | Ukraine | 75 0-100 | 2019 | — | flat |
| 33 | Vietnam | 75 0-100 | 2019 | — | rising |
| 33 | Vanuatu | 75 0-100 | 2019 | — | rising |
| 45 | Albania | 70 0-100 | 2019 | — | rising |
| 45 | United Arab Emirates | 70 0-100 | 2019 | — | rising |
| 45 | Armenia | 70 0-100 | 2019 | — | rising |
| 45 | Cote d'Ivoire | 70 0-100 | 2019 | — | rising |
| 45 | Czechia | 70 0-100 | 2019 | — | flat |
| 45 | Germany | 70 0-100 | 2019 | — | flat |
| 45 | Denmark | 70 0-100 | 2019 | — | flat |
| 45 | Estonia | 70 0-100 | 2019 | — | flat |
| 45 | Indonesia | 70 0-100 | 2019 | — | rising |
| 45 | Ireland | 70 0-100 | 2019 | — | flat |
| 45 | Lithuania | 70 0-100 | 2019 | — | flat |
| 45 | Moldova | 70 0-100 | 2019 | — | flat |
| 45 | Papua New Guinea | 70 0-100 | 2019 | — | rising |
| 45 | Slovakia | 70 0-100 | 2019 | — | rising |
| 45 | Thailand | 70 0-100 | 2019 | — | rising |
| 45 | Tonga | 70 0-100 | 2019 | — | rising |
| 61 | Belgium | 65 0-100 | 2019 | — | rising |
| 61 | Bulgaria | 65 0-100 | 2019 | — | flat |
| 61 | Bosnia and Herzegovina | 65 0-100 | 2019 | — | flat |
| 61 | Egypt | 65 0-100 | 2019 | — | rising |
| 61 | Finland | 65 0-100 | 2019 | — | flat |
| 61 | Israel | 65 0-100 | 2019 | — | flat |
| 61 | Kazakhstan | 65 0-100 | 2019 | — | rising |
| 61 | South Korea | 65 0-100 | 2019 | — | flat |
| 61 | Mauritius | 65 0-100 | 2019 | — | flat |
| 61 | Serbia | 65 0-100 | 2019 | — | flat |
| 61 | Trinidad and Tobago | 65 0-100 | 2019 | — | flat |
| 61 | Tanzania | 65 0-100 | 2019 | — | rising |
| 61 | Uzbekistan | 65 0-100 | 2019 | — | rising |
| 74 | Switzerland | 60 0-100 | 2019 | — | flat |
| 74 | China | 60 0-100 | 2019 | — | rising |
| 74 | Cameroon | 60 0-100 | 2019 | — | rising |
| 74 | Cyprus | 60 0-100 | 2019 | — | flat |
| 74 | Spain | 60 0-100 | 2019 | — | flat |
| 74 | Ghana | 60 0-100 | 2019 | — | flat |
| 74 | Iceland | 60 0-100 | 2019 | — | flat |
| 74 | Laos | 60 0-100 | 2019 | — | rising |
| 74 | Namibia | 60 0-100 | 2019 | — | rising |
| 74 | Uganda | 60 0-100 | 2019 | — | rising |
| 74 | Uruguay | 60 0-100 | 2019 | — | flat |
| 74 | South Africa | 60 0-100 | 2019 | — | flat |
| 86 | Argentina | 55 0-100 | 2019 | — | flat |
| 86 | Austria | 55 0-100 | 2019 | — | flat |
| 86 | Belarus | 55 0-100 | 2019 | — | rising |
| 86 | Bhutan | 55 0-100 | 2019 | — | rising |
| 86 | Botswana | 55 0-100 | 2019 | — | flat |
| 86 | Chile | 55 0-100 | 2019 | — | flat |
| 86 | Guyana | 55 0-100 | 2019 | — | volatile |
| 86 | Croatia | 55 0-100 | 2019 | — | flat |
| 86 | Japan | 55 0-100 | 2019 | — | flat |
| 86 | Lesotho | 55 0-100 | 2019 | — | rising |
| 86 | Norway | 55 0-100 | 2019 | — | flat |
| 86 | Sweden | 55 0-100 | 2019 | — | flat |
| 86 | Eswatini | 55 0-100 | 2019 | — | rising |
| 86 | Zimbabwe | 55 0-100 | 2019 | — | rising |
| 100 | Afghanistan | 50 0-100 | 2019 | — | rising |
| 100 | Brazil | 50 0-100 | 2019 | — | rising |
| 100 | France | 50 0-100 | 2019 | — | flat |
| 100 | Micronesia (country) | 50 0-100 | 2019 | — | flat |
| 100 | Greece | 50 0-100 | 2019 | — | flat |
| 100 | Iran | 50 0-100 | 2019 | — | rising |
| 100 | Marshall Islands | 50 0-100 | 2019 | — | flat |
| 100 | Nicaragua | 50 0-100 | 2019 | — | rising |
| 100 | Nepal | 50 0-100 | 2019 | — | rising |
| 100 | Palau | 50 0-100 | 2019 | — | flat |
| 100 | Solomon Islands | 50 0-100 | 2019 | — | flat |
| 100 | Tunisia | 50 0-100 | 2019 | — | rising |
| 112 | Bahrain | 45 0-100 | 2019 | — | rising |
| 112 | Dominican Republic | 45 0-100 | 2019 | — | flat |
| 112 | Ecuador | 45 0-100 | 2019 | — | flat |
| 112 | Italy | 45 0-100 | 2019 | — | flat |
| 112 | Liberia | 45 0-100 | 2019 | — | rising |
| 112 | Morocco | 45 0-100 | 2019 | — | rising |
| 112 | Netherlands | 45 0-100 | 2019 | — | rising |
| 112 | Pakistan | 45 0-100 | 2019 | — | rising |
| 112 | Portugal | 45 0-100 | 2019 | — | flat |
| 112 | Saudi Arabia | 45 0-100 | 2019 | — | flat |
| 112 | Slovenia | 45 0-100 | 2019 | — | rising |
| 112 | Samoa | 45 0-100 | 2019 | — | rising |
| 124 | Comoros | 40 0-100 | 2019 | — | rising |
| 124 | Gabon | 40 0-100 | 2019 | — | flat |
| 124 | Equatorial Guinea | 40 0-100 | 2019 | — | flat |
| 124 | Lebanon | 40 0-100 | 2019 | — | flat |
| 124 | Sri Lanka | 40 0-100 | 2019 | — | flat |
| 124 | Madagascar | 40 0-100 | 2019 | — | volatile |
| 124 | Paraguay | 40 0-100 | 2019 | — | falling |
| 124 | Qatar | 40 0-100 | 2019 | — | rising |
| 124 | Tajikistan | 40 0-100 | 2019 | — | rising |
| 124 | Venezuela | 40 0-100 | 2019 | — | flat |
| 134 | Bolivia | 35 0-100 | 2019 | — | flat |
| 134 | Congo | 35 0-100 | 2019 | — | falling |
| 134 | Cape Verde | 35 0-100 | 2019 | — | flat |
| 134 | Gambia | 35 0-100 | 2019 | — | rising |
| 134 | Jordan | 35 0-100 | 2019 | — | volatile |
| 134 | Kuwait | 35 0-100 | 2019 | — | flat |
| 134 | Maldives | 35 0-100 | 2019 | — | flat |
| 134 | Malta | 35 0-100 | 2019 | — | rising |
| 134 | Oman | 35 0-100 | 2019 | — | flat |
| 134 | Seychelles | 35 0-100 | 2019 | — | rising |
| 144 | Benin | 30 0-100 | 2019 | — | flat |
| 144 | Burkina Faso | 30 0-100 | 2019 | — | flat |
| 144 | Bahamas | 30 0-100 | 2019 | — | flat |
| 144 | Barbados | 30 0-100 | 2019 | — | flat |
| 144 | Central African Republic | 30 0-100 | 2019 | — | flat |
| 144 | Democratic Republic of Congo | 30 0-100 | 2019 | — | flat |
| 144 | Dominica | 30 0-100 | 2019 | — | flat |
| 144 | Guinea | 30 0-100 | 2019 | — | flat |
| 144 | Guinea-Bissau | 30 0-100 | 2019 | — | flat |
| 144 | Grenada | 30 0-100 | 2019 | — | flat |
| 144 | Mali | 30 0-100 | 2019 | — | flat |
| 144 | Mauritania | 30 0-100 | 2019 | — | rising |
| 144 | Niger | 30 0-100 | 2019 | — | flat |
| 144 | Senegal | 30 0-100 | 2019 | — | flat |
| 144 | San Marino | 30 0-100 | 2019 | — | volatile |
| 144 | Chad | 30 0-100 | 2019 | — | flat |
| 144 | Togo | 30 0-100 | 2019 | — | flat |
| 161 | Antigua and Barbuda | 25 0-100 | 2019 | — | flat |
| 161 | Bangladesh | 25 0-100 | 2019 | — | flat |
| 161 | Djibouti | 25 0-100 | 2019 | — | volatile |
| 161 | Fiji | 25 0-100 | 2019 | — | falling |
| 161 | Saint Kitts and Nevis | 25 0-100 | 2019 | — | flat |
| 161 | Saint Lucia | 25 0-100 | 2019 | — | flat |
| 161 | Mozambique | 25 0-100 | 2019 | — | flat |
| 161 | Sudan | 25 0-100 | 2019 | — | rising |
| 161 | Sierra Leone | 25 0-100 | 2019 | — | flat |
| 161 | Sao Tome and Principe | 25 0-100 | 2019 | — | flat |
| 161 | Saint Vincent and the Grenadines | 25 0-100 | 2019 | — | flat |
| 172 | Belize | 20 0-100 | 2019 | — | flat |
| 172 | Kiribati | 20 0-100 | 2019 | — | flat |
| 172 | East Timor | 20 0-100 | 2019 | — | flat |
| 175 | Ethiopia | 15 0-100 | 2019 | — | flat |
| 175 | Luxembourg | 15 0-100 | 2019 | — | flat |
| 175 | Syria | 15 0-100 | 2019 | — | flat |
| 178 | Burundi | 10 0-100 | 2019 | — | flat |
| 178 | Algeria | 10 0-100 | 2019 | — | flat |
| 178 | Haiti | 10 0-100 | 2019 | — | flat |
| 178 | Myanmar | 10 0-100 | 2019 | — | flat |
| 178 | South Sudan | 10 0-100 | 2019 | — | flat |
| 178 | Suriname | 10 0-100 | 2019 | — | flat |
| 184 | Angola | 5 0-100 | 2019 | — | flat |
| 184 | Philippines | 5 0-100 | 2019 | — | flat |
About this data
Getting credit: Distance to the frontier denotes the distance of each economy to the “frontier,” which represents the highest performance observed on the getting credit indicator across all economies included in Doing Business. An economy’s distance to frontier is indicated on a scale from 0 to 100, where 0 represents the lowest performance and 100 the frontier.