Time to import: Border compliance (hours) (DB16-20 methodology) by country
The time for border compliance to import 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 import 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 import: Border compliance (hours) (DB16-20 methodology) is currently reported for 186 countries. The highest value is 402 DB16-20 methodology in Tanzania; the lowest is 0 DB16-20 methodology in Sweden.
The median across all reporting countries is 52.17 DB16-20 methodology, and the mean is 68.29 DB16-20 methodology.
Over the past decade 13 countries rose and 54 fell. The largest increase was in Zimbabwe (up 281.6%), and the largest decrease in Armenia (down 95.0%).
Time to import: Border compliance (hours): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 402 DB16-20 methodology | 2019 | unchanged | flat |
| 2 | Congo | 397.33 DB16-20 methodology | 2019 | unchanged | flat |
| 3 | Democratic Republic of Congo | 336 DB16-20 methodology | 2019 | down 20.0% | falling |
| 4 | Cameroon | 271 DB16-20 methodology | 2019 | unchanged | flat |
| 5 | Chad | 242 DB16-20 methodology | 2019 | unchanged | flat |
| 6 | Nigeria | 241.71 DB16-20 methodology | 2019 | down 14.8% | falling |
| 7 | Egypt | 240 DB16-20 methodology | 2019 | up 100.0% | rising |
| 7 | Equatorial Guinea | 240 DB16-20 methodology | 2019 | unchanged | flat |
| 7 | Venezuela | 240 DB16-20 methodology | 2018 | — | flat |
| 10 | Myanmar | 230 DB16-20 methodology | 2019 | up 91.7% | rising |
| 11 | Zimbabwe | 227.67 DB16-20 methodology | 2019 | up 281.6% | rising |
| 12 | Liberia | 217 DB16-20 methodology | 2019 | unchanged | flat |
| 13 | Bangladesh | 216 DB16-20 methodology | 2019 | unchanged | flat |
| 14 | Algeria | 209.57 DB16-20 methodology | 2019 | down 36.0% | falling |
| 15 | Kenya | 194 DB16-20 methodology | 2019 | up 7.8% | rising |
| 16 | Lebanon | 180 DB16-20 methodology | 2019 | unchanged | flat |
| 17 | South Sudan | 179 DB16-20 methodology | 2019 | unchanged | flat |
| 18 | Togo | 168 DB16-20 methodology | 2019 | down 37.0% | falling |
| 19 | Burundi | 154.3 DB16-20 methodology | 2019 | unchanged | flat |
| 20 | Sao Tome and Principe | 150 DB16-20 methodology | 2019 | down 8.0% | falling |
| 21 | Uganda | 145 DB16-20 methodology | 2019 | down 6.0% | falling |
| 22 | Sudan | 144 DB16-20 methodology | 2019 | unchanged | flat |
| 23 | Syria | 141.33 DB16-20 methodology | 2019 | unchanged | flat |
| 24 | Iran | 141 DB16-20 methodology | 2019 | down 4.5% | falling |
| 25 | Iraq | 130.67 DB16-20 methodology | 2019 | unchanged | flat |
| 26 | Vanuatu | 126 DB16-20 methodology | 2019 | down 36.4% | falling |
| 27 | Cote d'Ivoire | 125.14 DB16-20 methodology | 2019 | unchanged | flat |
| 28 | Central African Republic | 121.71 DB16-20 methodology | 2019 | unchanged | flat |
| 29 | Pakistan | 120 DB16-20 methodology | 2019 | down 8.6% | falling |
| 29 | Philippines | 120 DB16-20 methodology | 2019 | up 66.7% | rising |
| 29 | Sierra Leone | 120 DB16-20 methodology | 2019 | down 10.3% | falling |
| 29 | Zambia | 120 DB16-20 methodology | 2019 | up 48.1% | flat |
| 33 | Bolivia | 114 DB16-20 methodology | 2019 | unchanged | flat |
| 34 | Colombia | 112 DB16-20 methodology | 2019 | unchanged | flat |
| 35 | Uzbekistan | 110.61 DB16-20 methodology | 2019 | unchanged | flat |
| 36 | Solomon Islands | 108 DB16-20 methodology | 2019 | unchanged | flat |
| 37 | Tajikistan | 106.5 DB16-20 methodology | 2019 | down 39.8% | falling |
| 38 | Burkina Faso | 102 DB16-20 methodology | 2019 | unchanged | flat |
| 39 | Maldives | 100 DB16-20 methodology | 2019 | unchanged | flat |
| 39 | East Timor | 100 DB16-20 methodology | 2019 | unchanged | flat |
| 41 | Indonesia | 99.36 DB16-20 methodology | 2019 | unchanged | flat |
| 42 | Madagascar | 98.73 DB16-20 methodology | 2019 | down 23.3% | falling |
| 43 | Mali | 98.33 DB16-20 methodology | 2019 | down 6.6% | falling |
| 44 | Seychelles | 97 DB16-20 methodology | 2019 | down 2.0% | flat |
| 45 | Afghanistan | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 45 | Honduras | 96 DB16-20 methodology | 2019 | up 71.4% | rising |
| 45 | Kiribati | 96 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | Gambia | 87 DB16-20 methodology | 2019 | unchanged | flat |
| 48 | South Africa | 87 DB16-20 methodology | 2019 | unchanged | flat |
| 50 | Somalia | 85 DB16-20 methodology | 2019 | — | flat |
| 51 | Gabon | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Guinea-Bissau | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Guyana | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Marshall Islands | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Palau | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 51 | Samoa | 84 DB16-20 methodology | 2019 | unchanged | flat |
| 57 | Haiti | 83 DB16-20 methodology | 2019 | down 8.8% | falling |
| 58 | Benin | 82 DB16-20 methodology | 2019 | down 46.8% | falling |
| 59 | Barbados | 81 DB16-20 methodology | 2019 | down 22.1% | falling |
| 60 | Costa Rica | 80 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Ghana | 80 DB16-20 methodology | 2019 | down 10.5% | falling |
| 60 | Jamaica | 80 DB16-20 methodology | 2019 | unchanged | flat |
| 60 | Tunisia | 80 DB16-20 methodology | 2019 | down 37.5% | falling |
| 64 | Guinea | 78.86 DB16-20 methodology | 2019 | down 13.2% | falling |
| 64 | Jordan | 78.86 DB16-20 methodology | 2019 | unchanged | flat |
| 64 | Libya | 78.86 DB16-20 methodology | 2019 | unchanged | flat |
| 67 | Niger | 78 DB16-20 methodology | 2019 | unchanged | falling |
| 67 | Trinidad and Tobago | 78 DB16-20 methodology | 2019 | unchanged | flat |
| 69 | Rwanda | 73.5 DB16-20 methodology | 2019 | up 237.2% | volatile |
| 70 | Ethiopia | 72.23 DB16-20 methodology | 2019 | down 33.8% | falling |
| 71 | Angola | 72 DB16-20 methodology | 2019 | down 73.9% | volatile |
| 71 | Guatemala | 72 DB16-20 methodology | 2019 | down 25.0% | falling |
| 71 | Kuwait | 72 DB16-20 methodology | 2019 | down 19.5% | falling |
| 71 | Sri Lanka | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 71 | Nicaragua | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 71 | Peru | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 71 | Papua New Guinea | 72 DB16-20 methodology | 2019 | unchanged | flat |
| 71 | Saudi Arabia | 72 DB16-20 methodology | 2019 | down 68.4% | falling |
| 79 | Comoros | 70.27 DB16-20 methodology | 2019 | unchanged | flat |
| 80 | Mauritania | 69 DB16-20 methodology | 2019 | down 45.2% | falling |
| 81 | Kyrgyzstan | 68.91 DB16-20 methodology | 2019 | down 4.3% | flat |
| 82 | India | 65.3 DB16-20 methodology | 2019 | down 77.3% | falling |
| 83 | Israel | 64 DB16-20 methodology | 2019 | unchanged | flat |
| 84 | Antigua and Barbuda | 61.33 DB16-20 methodology | 2019 | unchanged | flat |
| 85 | Argentina | 60 DB16-20 methodology | 2019 | unchanged | flat |
| 85 | Cape Verde | 60 DB16-20 methodology | 2019 | unchanged | flat |
| 87 | Morocco | 57 DB16-20 methodology | 2019 | down 56.7% | falling |
| 88 | Micronesia (country) | 56 DB16-20 methodology | 2019 | unchanged | flat |
| 88 | Vietnam | 56 DB16-20 methodology | 2019 | down 12.5% | falling |
| 90 | Malawi | 55.04 DB16-20 methodology | 2019 | down 13.6% | falling |
| 91 | United Arab Emirates | 54 DB16-20 methodology | 2019 | unchanged | flat |
| 91 | Chile | 54 DB16-20 methodology | 2019 | unchanged | flat |
| 93 | Senegal | 53.33 DB16-20 methodology | 2019 | unchanged | flat |
| 94 | Bahamas | 51 DB16-20 methodology | 2019 | down 48.5% | falling |
| 95 | Thailand | 50.18 DB16-20 methodology | 2019 | unchanged | flat |
| 96 | Brunei | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 96 | Mongolia | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 96 | Puerto Rico | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 96 | Qatar | 48 DB16-20 methodology | 2019 | down 60.4% | falling |
| 96 | Suriname | 48 DB16-20 methodology | 2019 | down 33.3% | falling |
| 96 | Saint Vincent and the Grenadines | 48 DB16-20 methodology | 2019 | unchanged | flat |
| 102 | Taiwan | 47.38 DB16-20 methodology | 2019 | unchanged | flat |
| 103 | Mexico | 44.22 DB16-20 methodology | 2019 | unchanged | flat |
| 104 | Bahrain | 42 DB16-20 methodology | 2019 | down 22.2% | falling |
| 105 | Mauritius | 41 DB16-20 methodology | 2019 | down 19.6% | falling |
| 106 | Japan | 39.6 DB16-20 methodology | 2019 | unchanged | flat |
| 107 | Dominica | 39.27 DB16-20 methodology | 2019 | unchanged | flat |
| 108 | Australia | 39 DB16-20 methodology | 2019 | up 5.4% | flat |
| 108 | Oman | 39 DB16-20 methodology | 2019 | down 58.6% | falling |
| 110 | Grenada | 37.33 DB16-20 methodology | 2019 | unchanged | flat |
| 111 | Saint Kitts and Nevis | 37.14 DB16-20 methodology | 2019 | unchanged | flat |
| 112 | Malaysia | 36 DB16-20 methodology | 2019 | down 50.0% | falling |
| 112 | El Salvador | 36 DB16-20 methodology | 2019 | up 129.8% | rising |
| 114 | China | 35.65 DB16-20 methodology | 2019 | down 61.4% | falling |
| 115 | Fiji | 34.75 DB16-20 methodology | 2019 | down 17.3% | falling |
| 116 | Singapore | 33 DB16-20 methodology | 2019 | down 6.9% | falling |
| 117 | Ukraine | 32 DB16-20 methodology | 2019 | unchanged | flat |
| 118 | Belize | 30 DB16-20 methodology | 2019 | down 37.5% | falling |
| 118 | Brazil | 30 DB16-20 methodology | 2019 | down 41.3% | falling |
| 118 | Russia | 30 DB16-20 methodology | 2019 | down 22.3% | falling |
| 121 | Saint Lucia | 26.57 DB16-20 methodology | 2019 | unchanged | flat |
| 122 | Tonga | 25.5 DB16-20 methodology | 2019 | unchanged | flat |
| 123 | New Zealand | 25 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Dominican Republic | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Ecuador | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Ireland | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Iceland | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Panama | 24 DB16-20 methodology | 2019 | unchanged | flat |
| 124 | Paraguay | 24 DB16-20 methodology | 2019 | down 50.0% | falling |
| 130 | Montenegro | 23.22 DB16-20 methodology | 2019 | unchanged | flat |
| 131 | Hong Kong | 18.55 DB16-20 methodology | 2019 | unchanged | flat |
| 132 | Georgia | 15 DB16-20 methodology | 2019 | unchanged | flat |
| 133 | Cyprus | 14.67 DB16-20 methodology | 2019 | unchanged | flat |
| 134 | Nepal | 11 DB16-20 methodology | 2019 | down 82.5% | falling |
| 135 | Laos | 10.5 DB16-20 methodology | 2019 | down 22.2% | falling |
| 136 | Albania | 10 DB16-20 methodology | 2019 | up 11.1% | rising |
| 137 | Mozambique | 9 DB16-20 methodology | 2019 | down 35.7% | falling |
| 138 | Cambodia | 7.5 DB16-20 methodology | 2019 | unchanged | flat |
| 138 | North Macedonia | 7.5 DB16-20 methodology | 2019 | unchanged | flat |
| 140 | Turkey | 6.5 DB16-20 methodology | 2019 | down 79.4% | falling |
| 141 | South Korea | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 141 | Palestine | 6 DB16-20 methodology | 2019 | unchanged | flat |
| 141 | Uruguay | 6 DB16-20 methodology | 2019 | down 53.8% | falling |
| 144 | Bosnia and Herzegovina | 5.95 DB16-20 methodology | 2019 | unchanged | flat |
| 145 | Namibia | 5.5 DB16-20 methodology | 2019 | unchanged | flat |
| 146 | Bhutan | 5 DB16-20 methodology | 2019 | unchanged | flat |
| 147 | Serbia | 4.6 DB16-20 methodology | 2019 | up 15.0% | rising |
| 148 | Lesotho | 4.5 DB16-20 methodology | 2019 | unchanged | flat |
| 149 | Moldova | 4.39 DB16-20 methodology | 2019 | up 51.9% | rising |
| 150 | Azerbaijan | 4.14 DB16-20 methodology | 2019 | down 87.2% | falling |
| 151 | San Marino | 4 DB16-20 methodology | 2019 | unchanged | flat |
| 152 | Botswana | 3.5 DB16-20 methodology | 2019 | down 20.9% | falling |
| 153 | Eswatini | 3.06 DB16-20 methodology | 2019 | down 33.7% | falling |
| 154 | United Kingdom | 3 DB16-20 methodology | 2019 | unchanged | flat |
| 155 | Armenia | 2.54 DB16-20 methodology | 2019 | down 95.0% | volatile |
| 156 | Canada | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 156 | Finland | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 156 | Kazakhstan | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 156 | Norway | 2 DB16-20 methodology | 2019 | unchanged | flat |
| 160 | Malta | 1.56 DB16-20 methodology | 2019 | unchanged | flat |
| 161 | United States | 1.5 DB16-20 methodology | 2019 | unchanged | flat |
| 162 | Switzerland | 1 DB16-20 methodology | 2019 | unchanged | flat |
| 163 | Bulgaria | 0.5 DB16-20 methodology | 2019 | unchanged | flat |
| 163 | Greece | 0.5 DB16-20 methodology | 2019 | unchanged | flat |
| 165 | Romania | 0.375 DB16-20 methodology | 2019 | unchanged | flat |
| 166 | Croatia | 0.1444 DB16-20 methodology | 2019 | unchanged | flat |
| 167 | Austria | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Belgium | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Belarus | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Czechia | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Germany | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Denmark | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Spain | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Estonia | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | France | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Hungary | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Italy | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Lithuania | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Luxembourg | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Latvia | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Netherlands | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Poland | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Portugal | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Slovakia | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Slovenia | 0 DB16-20 methodology | 2019 | — | flat |
| 167 | Sweden | 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 5.5 DB16-20 methodology
About this data
The time for border compliance to import 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 import 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 calculate 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.