How does Djibouti rank for trading across borders: time to import (days) (db06-15 methodology)?

Djibouti ranks 1st out of 1 countries with data for 2014.

Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Djibouti?

Over the last ten years it is up 20.0%. The long-run trend across the full record is rising.

Trading across borders: Time to import (days) (DB06-15 methodology) in Djibouti

Name: Trading across borders: Time to import (days) (DB06-15 methodology) in Djibouti
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Djibouti: Trading across borders: Time to import (days) (DB06-15 methodology) was 77.42 in 2014. ▲ Rising

Latest (2014)

77.42

Change on year

unchanged

World rank

1st

of 1 countries

All-time high

80.65

in 2008

All-time low

64.52

in 2005

Years of data

2005–2014

Trading across borders: Time to import (days) (DB06-15 methodology) in Djibouti, 2005–2014

Source: World Bank.

Analysis

Djibouti recorded 77.42 for trading across borders: time to import (days) (db06-15 methodology) in 2014.

That represents a change of up 20.0% over ten years.

Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Djibouti peaked at 80.65 in 2008 and was at its lowest, 64.52, in 2005.

Averages by decade

Decade	Average	Lowest	Highest	Years
2000s	72.9	64.52	80.65	5
2010s	77.42	77.42	77.42	5

Countries ranked near Djibouti

1 Singapore 100 compare
2 Cyprus 98.39 compare
2 Denmark 98.39 compare
2 Estonia 98.39 compare
2 Hong Kong 98.39 compare

See the full ranking of 183 places →

More reference data data for Djibouti

Emission Totals - Emissions (N2O) - IPCC Agriculture 1.04 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 267.11 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 2.43 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 4.63 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 274.59 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2286 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 1.03 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0175 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.0016 (2050)

All data for Djibouti →

Frequently asked questions

What is trading across borders: time to import (days) (db06-15 methodology) in Djibouti?: Trading across borders: time to import (days) (db06-15 methodology) in Djibouti was 77.42 in 2014, according to the World Bank.
What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Djibouti?: The highest recorded value was 80.65 in 2008.
What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Djibouti?: The lowest recorded value was 64.52 in 2005.
How does Djibouti rank for trading across borders: time to import (days) (db06-15 methodology)?: Djibouti ranks 1st out of 1 countries with data for 2014.
Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Djibouti?: Over the last ten years it is up 20.0%. The long-run trend across the full record is rising.
Where does this Djibouti data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to import (days) (DB06-15 methodology) - Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator: Trading across borders: Time to import (days) (DB06-15 methodology) - Score
Source: World Bank
Licence: CC BY 4.0 (World Bank Open Data)
Coverage: 183 places, 1,813 data points, 2005–2014
Last refreshed: 10 August 2026

The score for the time to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.