Sao Tome and Principe vs Syrian Arab Republic: Trading across borders: Time to export: Border compliance (hours)
Sao Tome and Principe
48.35
in 2019
Syrian Arab Republic
47.8
in 2019
Sao Tome and Principe rank
145th
Syrian Arab Republic rank
147th
Trading across borders: Time to export: Border compliance (hours) over time
- Sao Tome and Principe
- Syrian Arab Republic
How they compare
Sao Tome and Principe currently reports 48.35 against 47.8 in Syrian Arab Republic, a difference of 0.55.
The two have swapped places 1 time across 6 shared years of data; in 2014 it was Syrian Arab Republic ahead.
Sao Tome and Principe ranks 145th and Syrian Arab Republic ranks 147th of 191 countries.
Syrian Arab Republic has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher trading across borders: time to export: border compliance (hours), Sao Tome and Principe or Syrian Arab Republic?
- Sao Tome and Principe, at 48.35 against 47.8 in Syrian Arab Republic as of 2019.
- What is the difference in trading across borders: time to export: border compliance (hours) between Sao Tome and Principe and Syrian Arab Republic?
- 0.55, with Sao Tome and Principe ahead.
- How many years of comparable data are there for Sao Tome and Principe and Syrian Arab Republic?
- 6 years are reported by both, from 2014 to 2019.
- How do Sao Tome and Principe and Syrian Arab Republic rank globally for trading across borders: time to export: border compliance (hours)?
- Sao Tome and Principe ranks 145th and Syrian Arab Republic ranks 147th of 191 countries.
- Where does this data come from?
- The World Bank, published as Trading across borders: Time to export: Border compliance (hours) (DB16-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for the time for border compliance to export 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 DB16-20 studies.