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

Syria ranks 109th out of 181 countries with data for 2014.

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

Over the last ten years it is unchanged. The long-run trend across the full record is flat.

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

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

Syria: Trading across borders: Time to import (days) (DB06-15 methodology) was 67.74 in 2014. ▬ Flat

Latest (2014)

67.74

Change on year

up 5.0%

World rank

109th

of 181 countries

All-time high

72.58

in 2008

All-time low

64.52

in 2013

Years of data

2005–2014

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

Source: World Bank.

Analysis

In 2014, trading across borders: time to import (days) (db06-15 methodology) in Syria stood at 67.74.

That represents a change of up 5.0% on the previous year and unchanged over ten years.

Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Syria peaked at 72.58 in 2008 and was at its lowest, 64.52, in 2013.

That places Syria 109th out of 181 countries with data for 2014, putting it in the middle of the range.

Averages by decade

Decade	Average	Lowest	Highest	Years
2000s	70.32	67.74	72.58	5
2010s	70	64.52	72.58	5

Countries ranked near Syria

107 Antigua and Barbuda 69.35 compare
107 Eswatini 69.35 compare
109 China 67.74 compare
109 Cambodia 67.74 compare
109 Comoros 67.74 compare
109 Ecuador 67.74 compare
109 Vanuatu 67.74 compare

See the full ranking of 183 places →

More reference data data for Syria

Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 4,276 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 7,753 (2050)
Emission Totals - Direct emissions (N2O) - Crop Residues 2.39 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 29.01 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.3995 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 7,751 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 97.62 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 2.93 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 16.14 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.1542 (2050)

All data for Syria →

Frequently asked questions

What is trading across borders: time to import (days) (db06-15 methodology) in Syria?: Trading across borders: time to import (days) (db06-15 methodology) in Syria was 67.74 in 2014, according to the World Bank.
What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Syria?: The highest recorded value was 72.58 in 2008.
What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Syria?: The lowest recorded value was 64.52 in 2013.
How does Syria rank for trading across borders: time to import (days) (db06-15 methodology)?: Syria ranks 109th out of 181 countries with data for 2014.
Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Syria?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Syria 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.