Time to export: Border compliance (hours) (DB16-20 methodology) by country
The time for border compliance to export records the time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the export shipment to cross the economy’s border, as well as the time and cost for handling that takes place...
What the numbers show
Time to export: Border compliance (hours) (DB16-20 methodology) is currently reported for 186 countries. The highest value is 296 DB16-20 methodology in Democratic Republic of Congo; the lowest is 0 DB16-20 methodology in Slovenia.
The median across all reporting countries is 42.73 DB16-20 methodology, and the mean is 54.57 DB16-20 methodology.
Over the past decade 5 countries rose and 52 fell. The largest increase was in El Salvador (up 71.4%), and the largest decrease in Tajikistan (down 81.6%).
Time to export: Border compliance (hours): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Democratic Republic of Congo | 296 DB16-20 methodology | 2019 | down 14.7% | falling |
| 2 | Venezuela | 288 DB16-20 methodology | 2018 | — | flat |
| 3 | Congo | 276 DB16-20 methodology | 2019 | unchanged | flat |
| 4 | Cote d'Ivoire | 238.71 DB16-20 methodology | 2019 | unchanged | flat |
| 5 | Cameroon | 202 DB16-20 methodology | 2019 | unchanged | flat |
| 6 | Liberia | 193 DB16-20 methodology | 2019 | unchanged | flat |
| 7 | Sudan | 180 DB16-20 methodology | 2019 | unchanged | flat |
| 8 | Bangladesh | 168 DB16-20 methodology | 2019 | unchanged | flat |
| 9 | Angola | 164 DB16-20 methodology | 2019 | down 47.4% | falling |
| 10 | South Sudan | 146 DB16-20 methodology | 2019 | unchanged | flat |
| 11 | Myanmar | 141.67 DB16-20 methodology | 2019 | down 1.6% | flat |
| 12 | Central African Republic | 141.4 DB16-20 methodology | 2019 | unchanged | flat |
| 13 | Mongolia | 134 DB16-20 methodology | 2019 | unchanged | flat |
| 14 | Equatorial Guinea | 132 DB16-20 methodology | 2019 | unchanged | flat |
| 15 | Nigeria | 128.43 DB16-20 methodology | 2019 | down 5.2% | flat |
| 16 | Namibia | 120 DB16-20 methodology | 2019 | unchanged | flat |
| 16 | Paraguay | 120 DB16-20 methodology | 2019 | down 16.7% | falling |
| 16 | Zambia | 120 DB16-20 methodology | 2019 | up 53.8% | rising |
| 19 | Guinea-Bissau | 118 DB16-20 methodology | 2019 | unchanged | flat |
| 20 | Brunei | 117 DB16-20 methodology | 2019 | down 2.5% | flat |
| 21 | Colombia | 112 DB16-20 methodology | 2019 | unchanged | flat |
| 22 | Solomon Islands | 109.5 DB16-20 methodology | 2019 | unchanged | flat |
| 23 | Gambia | 109.33 DB16-20 methodology | 2019 | unchanged | flat |
| 24 | Ghana | 108 DB16-20 methodology | 2019 | unchanged | flat |
| 24 | Honduras | 108 DB16-20 methodology | 2019 | unchanged | flat |
| 26 | Chad | 106 DB16-20 methodology | 2019 | unchanged | flat |
| 27 | Kazakhstan | 105 DB16-20 methodology | 2019 | down 21.1% | falling |
| 28 | Palau | 101.71 DB16-20 methodology | 2019 | unchanged | flat |
| 29 | Grenada | 101.44 DB16-20 methodology | 2019 | unchanged | flat |
| 30 | Iran | 101 DB16-20 methodology | 2019 | down 5.7% | falling |
| 31 | Belize | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | Ecuador | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | Gabon | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | Lebanon | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | East Timor | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | Tanzania | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 31 | Uruguay | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 38 | South Africa | 92 DB16-20 methodology | 2019 | unchanged | flat |
| 39 | Zimbabwe | 88.33 DB16-20 methodology | 2019 | unchanged | flat |
| 40 | Iraq | 84.57 DB16-20 methodology | 2019 | unchanged | flat |
| 41 | Kuwait | 84 DB16-20 methodology | 2019 | down 14.6% | falling |
| 41 | Suriname | 84 DB16-20 methodology | 2019 | down 22.2% | falling |
| 41 | Syria | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 44 | Rwanda | 83.33 DB16-20 methodology | 2019 | down 14.4% | falling |
| 45 | Sao Tome and Principe | 83.12 DB16-20 methodology | 2019 | down 27.8% | falling |
| 46 | Seychelles | 82 DB16-20 methodology | 2019 | down 2.4% | flat |
| 47 | Algeria | 80 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Malawi | 78.12 DB16-20 methodology | 2019 | down 8.2% | falling |
| 49 | Benin | 78 DB16-20 methodology | 2019 | down 43.5% | falling |
| 50 | Burkina Faso | 74.5 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Cape Verde | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Guinea | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Guyana | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Kiribati | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Libya | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Nicaragua | 72 DB16-20 methodology | 2019 | up 20.0% | rising |
| 57 | Madagascar | 69.82 DB16-20 methodology | 2019 | down 25.6% | falling |
| 58 | Togo | 67 DB16-20 methodology | 2019 | down 10.1% | falling |
| 59 | Mozambique | 66 DB16-20 methodology | 2019 | down 15.4% | falling |
| 59 | Russia | 66 DB16-20 methodology | 2019 | down 8.3% | falling |
| 61 | Mauritania | 62 DB16-20 methodology | 2019 | down 13.9% | falling |
| 62 | Senegal | 61.45 DB16-20 methodology | 2019 | unchanged | flat |
| 63 | Antigua and Barbuda | 61.33 DB16-20 methodology | 2019 | unchanged | flat |
| 64 | Chile | 60 DB16-20 methodology | 2019 | unchanged | flat |
| 64 | Marshall Islands | 60 DB16-20 methodology | 2019 | unchanged | flat |
| 64 | Trinidad and Tobago | 60 DB16-20 methodology | 2019 | unchanged | flat |
| 67 | Bahrain | 59 DB16-20 methodology | 2019 | down 24.9% | falling |
| 67 | Uganda | 59 DB16-20 methodology | 2019 | down 30.4% | falling |
| 69 | Burundi | 58.67 DB16-20 methodology | 2019 | unchanged | flat |
| 70 | Pakistan | 58 DB16-20 methodology | 2019 | down 26.4% | falling |
| 71 | Jamaica | 57.71 DB16-20 methodology | 2019 | unchanged | flat |
| 72 | Indonesia | 56.28 DB16-20 methodology | 2019 | down 10.0% | falling |
| 73 | Fiji | 56 DB16-20 methodology | 2019 | unchanged | flat |
| 74 | Vietnam | 55 DB16-20 methodology | 2019 | down 8.9% | falling |
| 75 | Sierra Leone | 54.86 DB16-20 methodology | 2019 | unchanged | flat |
| 76 | Jordan | 53 DB16-20 methodology | 2019 | down 3.7% | flat |
| 77 | India | 52.12 DB16-20 methodology | 2019 | down 52.3% | falling |
| 78 | Tonga | 52 DB16-20 methodology | 2019 | unchanged | flat |
| 79 | Samoa | 51 DB16-20 methodology | 2019 | unchanged | flat |
| 80 | Ethiopia | 50.91 DB16-20 methodology | 2019 | down 10.5% | falling |
| 81 | Comoros | 50.81 DB16-20 methodology | 2019 | unchanged | flat |
| 82 | Brazil | 49.04 DB16-20 methodology | 2019 | down 19.7% | falling |
| 83 | Mali | 48.22 DB16-20 methodology | 2019 | down 12.7% | falling |
| 84 | Afghanistan | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Bolivia | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Egypt | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Cambodia | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Niger | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Peru | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Puerto Rico | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 91 | Somalia | 44 DB16-20 methodology | 2019 | — | flat |
| 91 | Thailand | 44 DB16-20 methodology | 2019 | down 13.7% | falling |
| 93 | Sri Lanka | 43 DB16-20 methodology | 2019 | unchanged | flat |
| 94 | Philippines | 42.46 DB16-20 methodology | 2019 | unchanged | flat |
| 95 | Maldives | 42 DB16-20 methodology | 2019 | unchanged | flat |
| 95 | Papua New Guinea | 42 DB16-20 methodology | 2019 | unchanged | flat |
| 97 | Barbados | 41.38 DB16-20 methodology | 2019 | unchanged | flat |
| 98 | Vanuatu | 38 DB16-20 methodology | 2019 | unchanged | flat |
| 99 | New Zealand | 37 DB16-20 methodology | 2019 | unchanged | flat |
| 99 | Saudi Arabia | 37 DB16-20 methodology | 2019 | down 46.4% | falling |
| 101 | Bahamas | 36 DB16-20 methodology | 2019 | down 57.1% | falling |
| 101 | Germany | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Dominica | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Finland | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Micronesia (country) | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Guatemala | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Iceland | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 101 | Israel | 36 DB16-20 methodology | 2019 | unchanged | flat |
| 109 | Australia | 35.5 DB16-20 methodology | 2019 | unchanged | flat |
| 110 | Uzbekistan | 31.79 DB16-20 methodology | 2019 | down 71.5% | falling |
| 111 | Malaysia | 28 DB16-20 methodology | 2019 | down 41.7% | falling |
| 111 | Saint Vincent and the Grenadines | 28 DB16-20 methodology | 2019 | unchanged | flat |
| 113 | Haiti | 27.75 DB16-20 methodology | 2019 | unchanged | flat |
| 114 | Oman | 27.5 DB16-20 methodology | 2019 | down 64.5% | falling |
| 115 | United Arab Emirates | 27 DB16-20 methodology | 2019 | unchanged | flat |
| 115 | Saint Kitts and Nevis | 27 DB16-20 methodology | 2019 | unchanged | flat |
| 115 | Saint Lucia | 27 DB16-20 methodology | 2019 | unchanged | flat |
| 118 | Japan | 26.65 DB16-20 methodology | 2019 | up 17.9% | rising |
| 119 | Armenia | 26.54 DB16-20 methodology | 2019 | down 47.5% | falling |
| 120 | Tajikistan | 26.5 DB16-20 methodology | 2019 | down 81.6% | falling |
| 121 | Qatar | 24.5 DB16-20 methodology | 2019 | down 17.9% | falling |
| 122 | United Kingdom | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Greece | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Ireland | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Latvia | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Malta | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Mauritius | 24 DB16-20 methodology | 2019 | down 50.0% | falling |
| 122 | Panama | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | El Salvador | 24 DB16-20 methodology | 2019 | up 71.4% | flat |
| 130 | Argentina | 21 DB16-20 methodology | 2019 | unchanged | flat |
| 131 | China | 20.7 DB16-20 methodology | 2019 | down 20.2% | falling |
| 132 | Mexico | 20.39 DB16-20 methodology | 2019 | unchanged | flat |
| 133 | Costa Rica | 20 DB16-20 methodology | 2019 | unchanged | flat |
| 134 | Cyprus | 18 DB16-20 methodology | 2019 | unchanged | flat |
| 135 | Taiwan | 16.85 DB16-20 methodology | 2019 | unchanged | flat |
| 136 | Dominican Republic | 16 DB16-20 methodology | 2019 | unchanged | flat |
| 137 | Kenya | 15.5 DB16-20 methodology | 2019 | down 44.6% | falling |
| 138 | South Korea | 13.38 DB16-20 methodology | 2019 | unchanged | flat |
| 139 | Tunisia | 12 DB16-20 methodology | 2019 | unchanged | flat |
| 140 | Azerbaijan | 11.94 DB16-20 methodology | 2019 | down 64.5% | falling |
| 141 | Nepal | 11 DB16-20 methodology | 2019 | down 70.7% | falling |
| 142 | Singapore | 10 DB16-20 methodology | 2019 | down 16.7% | falling |
| 143 | Turkey | 9.75 DB16-20 methodology | 2019 | unchanged | flat |
| 144 | Albania | 9 DB16-20 methodology | 2019 | down 35.7% | falling |
| 144 | Laos | 9 DB16-20 methodology | 2019 | down 30.8% | falling |
| 146 | North Macedonia | 8.5 DB16-20 methodology | 2019 | unchanged | flat |
| 147 | Montenegro | 7.61 DB16-20 methodology | 2019 | unchanged | flat |
| 148 | Belarus | 7.35 DB16-20 methodology | 2019 | unchanged | flat |
| 149 | Lithuania | 7.31 DB16-20 methodology | 2019 | down 18.8% | falling |
| 150 | Georgia | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 150 | Morocco | 6 DB16-20 methodology | 2019 | down 68.4% | falling |
| 150 | Palestine | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 150 | Ukraine | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 154 | Bosnia and Herzegovina | 5.21 DB16-20 methodology | 2019 | unchanged | flat |
| 155 | Bhutan | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 155 | Botswana | 5 DB16-20 methodology | 2019 | down 37.5% | falling |
| 155 | Kyrgyzstan | 5 DB16-20 methodology | 2019 | down 81.5% | volatile |
| 158 | Bulgaria | 4.4 DB16-20 methodology | 2019 | unchanged | flat |
| 159 | Serbia | 4.13 DB16-20 methodology | 2019 | up 12.6% | rising |
| 160 | Lesotho | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 161 | Moldova | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 162 | Eswatini | 2.11 DB16-20 methodology | 2019 | down 22.4% | falling |
| 163 | Canada | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 163 | Estonia | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 163 | Norway | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 166 | Sweden | 1.83 DB16-20 methodology | 2019 | unchanged | flat |
| 167 | United States | 1.5 DB16-20 methodology | 2019 | unchanged | flat |
| 168 | Switzerland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 168 | Hong Kong | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 170 | Romania | 0.375 DB16-20 methodology | 2019 | unchanged | flat |
| 171 | Croatia | 0.1286 DB16-20 methodology | 2019 | unchanged | flat |
| 172 | Austria | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Belgium | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Czechia | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Denmark | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Spain | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | France | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Hungary | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Italy | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Luxembourg | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Netherlands | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Poland | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Portugal | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | San Marino | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Slovakia | 0 DB16-20 methodology | 2019 | — | flat |
| 172 | Slovenia | 0 DB16-20 methodology | 2019 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Kosovo 3.5 DB16-20 methodology
About this data
The time for border compliance to export records the time associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the export shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calulcated in hours. The time for this segment includes time for customs clearance and inspection procedures conducted by other agencies. If all customs clearance and other inspections take place at the port or border at the same time, the time estimate for border compliance takes this simultaneity into account. The component indicator is computed based on the methodology in the DB16-20 studies.