How does Djibouti rank for trading across borders: cost to import (us$ per container)(db06-15 met?

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

Is trading across borders: cost to import (us$ per container)(db06-15 met rising or falling in Djibouti?

Over the last ten years it is up 6.3%. The long-run trend across the full record is rising.

Trading across borders: Cost to import (US$ per container)(DB06-15 met in Djibouti

Name: Trading across borders: Cost to import (US$ per container)(DB06-15 met in Djibouti
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Djibouti: Trading across borders: Cost to import (US$ per container)(DB06-15 met was 90.38 in 2014. ▲ Rising

Latest (2014)

90.38

Change on year

up 0.5%

World rank

1st

of 1 countries

All-time high

90.38

in 2014

All-time low

85.04

in 2005

Years of data

2005–2014

Trading across borders: Cost to import (US$ per container)(DB06-15 met in Djibouti, 2005–2014

Source: World Bank.

Analysis

Djibouti recorded 90.38 for trading across borders: cost to import (us$ per container)(db06-15 met in 2014. That is the highest value across all 10 years on record.

Compared with earlier readings it is up 0.5% on the previous year and up 6.3% over ten years.

Over the whole period, trading across borders: cost to import (us$ per container)(db06-15 met in Djibouti peaked at 90.38 in 2014 and was at its lowest, 85.04, in 2005.

Averages by decade

Decade	Average	Lowest	Highest	Years
2000s	86.29	85.04	87.37	5
2010s	89.13	87.66	90.38	5

Countries ranked near Djibouti

1 East Timor 99.17 compare
2 Singapore 98.73 compare
3 Tonga 97.66 compare
4 Malaysia 96.6 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: cost to import (us$ per container)(db06-15 met in Djibouti?: Trading across borders: cost to import (us$ per container)(db06-15 met in Djibouti was 90.38 in 2014, according to the World Bank.
What is the highest trading across borders: cost to import (us$ per container)(db06-15 met recorded in Djibouti?: The highest recorded value was 90.38 in 2014.
What is the lowest trading across borders: cost to import (us$ per container)(db06-15 met recorded in Djibouti?: The lowest recorded value was 85.04 in 2005.
How does Djibouti rank for trading across borders: cost to import (us$ per container)(db06-15 met?: Djibouti ranks 1st out of 1 countries with data for 2014.
Is trading across borders: cost to import (us$ per container)(db06-15 met rising or falling in Djibouti?: Over the last ten years it is up 6.3%. 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: Cost to import (US$ per container)(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: Cost to import (US$ per container)(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 cost 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.